From dea9c3c4c8adab5e67794dd9229f8b7e6fd1fe0c Mon Sep 17 00:00:00 2001 From: Felix Barnsteiner Date: Fri, 16 Jan 2026 08:04:02 +0100 Subject: [PATCH 1/9] Move PromQL to tech preview and enable in release builds --- .../k8s-timeseries-absent-over-time.csv-spec | 10 +- .../k8s-timeseries-arithmetic.csv-spec | 30 +- .../k8s-timeseries-avg-over-time.csv-spec | 4 +- .../k8s-timeseries-count-over-time.csv-spec | 42 +- .../resources/k8s-timeseries-delta.csv-spec | 12 +- .../k8s-timeseries-first-over-time.csv-spec | 14 +- .../resources/k8s-timeseries-idelta.csv-spec | 12 +- .../k8s-timeseries-increase.csv-spec | 14 +- .../resources/k8s-timeseries-irate.csv-spec | 16 +- .../k8s-timeseries-last-over-time.csv-spec | 24 +- .../k8s-timeseries-max-over-time.csv-spec | 36 +- .../k8s-timeseries-min-over-time.csv-spec | 38 +- .../k8s-timeseries-present-over-time.csv-spec | 34 +- .../resources/k8s-timeseries-promql.csv-spec | 46 +- .../resources/k8s-timeseries-rate.csv-spec | 12 +- .../k8s-timeseries-sum-over-time.csv-spec | 32 +- .../main/resources/k8s-timeseries.csv-spec | 18 +- .../esql/src/main/antlr/EsqlBaseLexer.tokens | 3 +- .../esql/src/main/antlr/EsqlBaseParser.g4 | 2 +- .../esql/src/main/antlr/EsqlBaseParser.tokens | 3 +- .../esql/src/main/antlr/lexer/Promql.g4 | 2 +- .../esql/src/main/antlr/parser/Promql.g4 | 4 +- .../xpack/esql/action/EsqlCapabilities.java | 8 +- .../xpack/esql/action/PromqlFeatures.java | 4 +- .../xpack/esql/parser/EsqlBaseLexer.interp | 8 +- .../xpack/esql/parser/EsqlBaseLexer.java | 1849 +++++++------ .../xpack/esql/parser/EsqlBaseParser.interp | 6 +- .../xpack/esql/parser/EsqlBaseParser.java | 2429 ++++++++--------- .../rest-api-spec/test/esql/40_tsdb.yml | 12 +- .../rest-api-spec/test/esql/60_usage.yml | 2 +- 30 files changed, 2355 insertions(+), 2371 deletions(-) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-absent-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-absent-over-time.csv-spec index 82706226b2846..c3f784205d693 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-absent-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-absent-over-time.csv-spec @@ -21,7 +21,7 @@ false | two | 2024-05-10T00:22:00.000Z ; absent_over_time_events_received_promql-Ignore -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=2m is_absent=(max by (pod) (absent_over_time(events_received{cluster="prod",pod="two"}[2m]))) | SORT step | LIMIT 10; @@ -50,7 +50,7 @@ false | staging | 2024-05-10T00:20:00.000Z ; absent_over_time_of_long_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_absent=(max by (cluster) (absent_over_time(network.bytes_in[10m]))) | SORT cluster, step | LIMIT 10; @@ -84,7 +84,7 @@ false | staging | 2024-05-10T00:20:00.000Z ; absent_over_time_of_boolean_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_absent=(max by (cluster) (absent_over_time(network.eth0.up[10m]))) | SORT step, cluster | LIMIT 10; @@ -166,7 +166,7 @@ false | staging | 2024-05-10T00:20:00.000Z ; absent_over_time_of_integer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_absent=(max by (cluster) (absent_over_time(network.eth0.currently_connected_clients[10m]))) | SORT step, cluster | LIMIT 10; @@ -313,7 +313,7 @@ false | staging | 2024-05-10T00:20:00.000Z ; absent_over_time_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_absent=(max by (cluster) (absent_over_time(network.bytes_in{pod!="three"}[10m]))) | SORT step, cluster | LIMIT 10; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-arithmetic.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-arithmetic.csv-spec index bb1608be4d6e7..869802c0aa907 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-arithmetic.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-arithmetic.csv-spec @@ -1,7 +1,7 @@ // scalar-scalar tests addition_scalar_scalar_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h sum=(1+1); sum:double | step:datetime @@ -33,7 +33,7 @@ network_in_bits:long | _timeseries:keyword ; multiplication_metric_scalar_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h network_in_bits=(network.total_bytes_in * 8) | SORT network_in_bits DESC; @@ -71,7 +71,7 @@ network_in_bits:long | _timeseries:keyword ; multiplication_within_series_scalar_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h network_in_bits=(last_over_time(network.total_bytes_in[1h]) * 8) | SORT network_in_bits DESC; @@ -99,7 +99,7 @@ max_bits:long | step:datetime ; across_series_multiplication_metric_scalar_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h max_bits=( max(network.total_bytes_in * 8) ) | SORT max_bits DESC; @@ -120,7 +120,7 @@ max_bits:long | step:datetime ; multiplication_across_series_scalar_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h max_bits=( max(network.total_bytes_in) * 8 ) | SORT max_bits DESC; @@ -143,7 +143,7 @@ max_bits:long | TBUCKET(1h):datetime | cluster:keyword ; across_series_grouping_multiplication_within_series_scalar_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h max_bits=( max by (cluster) (last_over_time(network.total_bytes_in[1h]) * 8) ) | SORT max_bits DESC; @@ -168,7 +168,7 @@ max_bits:long | TBUCKET(1h):date | cluster:keyword ; across_series_grouping_multiplication_metric_scalar_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h max_bits=( max by (cluster) (network.total_bytes_in * 8) ) | SORT max_bits DESC; @@ -193,7 +193,7 @@ max_bits:long | step:datetime | cluster:keyword ; multiplication_across_series_grouping_scalar_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h max_bits=( max by (cluster) (network.total_bytes_in) * 8 ) | SORT max_bits DESC; @@ -218,7 +218,7 @@ max_bits:long | step:datetime | cluster:keyword ; multiplication_across_series_grouping_within_series_scalar_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h max_bits=( max by (cluster) (last_over_time(network.total_bytes_in[1h])) * 8 ) @@ -240,7 +240,7 @@ max:long ; addition_scalar_inner_and_outer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h max=(10 + max(10 + network.total_bytes_in)) | KEEP max; @@ -273,7 +273,7 @@ in_n_out:long | _timeseries:keyword ; addition_metric_metric_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h in_n_out=(network.eth0.rx + network.eth0.tx) | SORT in_n_out DESC; @@ -304,7 +304,7 @@ div:long | step:datetime | cluster:keyword ; division_metric_metric_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h div=( max by (cluster) (network.total_bytes_in / network.total_bytes_in) ) @@ -329,7 +329,7 @@ div:long | step:datetime | cluster:keyword ; division_metric_metric_grouping_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h div=( max by (cluster) (network.total_bytes_in{cluster!="prod"} / network.total_bytes_in{cluster!="staging"}) ) | SORT cluster; @@ -356,7 +356,7 @@ div:double | step:datetime | cluster:keyword ; division_within_series_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h div=( max by (cluster) (rate(network.total_bytes_in[1h]) / rate(network.total_bytes_in[1h])) ) | SORT cluster; @@ -386,7 +386,7 @@ ratio:double | step:datetime | cluster:keyword ; tx_ratio_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h ratio=( max by (cluster) ( network.eth0.tx / diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-avg-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-avg-over-time.csv-spec index b2a07921267d3..e5675f36d85c4 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-avg-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-avg-over-time.csv-spec @@ -18,7 +18,7 @@ cost:double | time_bucket:datetime ; avg_over_time_of_double_no_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m cost=(sum(avg_over_time(network.cost[1m]))) | SORT cost DESC, step DESC | LIMIT 10; @@ -46,7 +46,7 @@ cost:double | time_bucket:datetime ; avg_over_time_of_double_no_grouping_single_bucket_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h cost=(sum(avg_over_time(network.cost[1h]))); cost:double | step:datetime diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-count-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-count-over-time.csv-spec index 414e20e05f5fe..aadcd53c16eda 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-count-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-count-over-time.csv-spec @@ -15,7 +15,7 @@ ip:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_ip_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m ip=(min by (cluster) (count_over_time(client.ip[10m]))) | SORT step, cluster | LIMIT 10; @@ -49,7 +49,7 @@ bytes_in:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_long_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m bytes_in=(sum by (cluster) (count_over_time(network.bytes_in[10m]))) | SORT bytes_in DESC, cluster, step | LIMIT 10; @@ -99,7 +99,7 @@ bytes_in:long | cluster:keyword | time_bucket:datetime ; count_over_time_with_window_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: time_series_window_v1 PROMQL index=k8s step=2m bytes_in=(sum by (cluster) (count_over_time(network.bytes_in[10m]))) @@ -145,7 +145,7 @@ eth0_up:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_boolean_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m eth0_up=(min by (cluster) (count_over_time(network.eth0.up[10m]))) | SORT step, cluster | LIMIT 10; @@ -179,7 +179,7 @@ last_up:long | cluster:keyword | time_bucket:date_nanos ; count_over_time_of_date_nanos_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: promql_date_nanos_support_v0 PROMQL index=datenanos-k8s step=10m last_up=(max by (cluster) (count_over_time(network.eth0.last_up[10m]))) @@ -214,7 +214,7 @@ last_up:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_date_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m last_up=(max by (cluster) (count_over_time(network.eth0.last_up[10m]))) | SORT step, cluster | LIMIT 10; @@ -248,7 +248,7 @@ version:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_version_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m version=(max by (cluster) (count_over_time(network.eth0.firmware_version[10m]))) | SORT step, cluster | LIMIT 10; @@ -282,7 +282,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; count_over_time_of_integer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m clients=(avg by (cluster) (count_over_time(network.eth0.currently_connected_clients[10m]))) | SORT step, cluster | LIMIT 10; @@ -316,7 +316,7 @@ event_log:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_text_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m event_log=(max by (cluster) (count_over_time(event_log[10m]))) | SORT event_log, cluster, step | LIMIT 10; @@ -350,7 +350,7 @@ pod:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_keyword_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m pod=(min by (cluster) (count_over_time(network.eth0.up[10m]))) | SORT step, cluster | LIMIT 10; @@ -385,7 +385,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_aggregate_metric_double_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum by (cluster) (count_over_time(network.eth0.tx[10m]))) @@ -420,7 +420,7 @@ min:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_geopoint_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m min=(min by (cluster) (count_over_time(event_city[10m]))) | SORT step, cluster | LIMIT 10; @@ -454,7 +454,7 @@ min:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_geoshape_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m min=(min by (cluster) (count_over_time(event_city_boundary[10m]))) | SORT step, cluster | LIMIT 10; @@ -488,7 +488,7 @@ min:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_shape_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m min=(min by (cluster) (count_over_time(event_shape[10m]))) | SORT step, cluster | LIMIT 10; @@ -522,7 +522,7 @@ min:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_point_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m min=(min by (cluster) (count_over_time(event_location[10m]))) | SORT step, cluster | LIMIT 10; @@ -556,7 +556,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; count_over_time_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m tx=(sum by (cluster) (count_over_time(network.bytes_in{pod!="three"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -603,7 +603,7 @@ bytes:long | pod:keyword | time_bucket:datetime | kb:double ; eval_on_count_over_time_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m bytes=(sum by (pod) (count_over_time(network.bytes_in[10m]))) | EVAL kb = bytes / 1000.0 @@ -639,7 +639,7 @@ events:double | pod:keyword | time_bucket:datetime ; count_over_time_multi_values_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m start="2024-05-10T00:00:00.000Z" end="2024-05-10T00:09:00.000Z" events=(avg by (pod) (count_over_time(events_received[1m]))) | SORT events, pod, step | LIMIT 10; @@ -675,7 +675,7 @@ events:long | pod:keyword | time_bucket:datetime ; count_over_time_null_values_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m start="2024-05-10T00:10:00.000Z" end="2024-05-10T00:14:00.000Z" events=(sum by (pod) (count_over_time(events_received[1m]))) | SORT events, pod, step | LIMIT 10; @@ -710,7 +710,7 @@ events:long | pod:keyword | time_bucket:datetime ; count_over_time_all_value_types_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m events=(sum by (pod) (count_over_time(events_received[10m]))) | SORT events, pod, step | LIMIT 10; @@ -748,7 +748,7 @@ bytes:long | pod:keyword | time_bucket:datetime # Awaits fix: https://github.com/elastic/metrics-program/issues/302 count_over_time_aggregate_metric_double_implicit_casting_promql-Ignore -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum by (pod) (count_over_time(network.eth0.rx[10m]))) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-delta.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-delta.csv-spec index 71dc0a4cc187e..866a36fb96de4 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-delta.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-delta.csv-spec @@ -24,7 +24,7 @@ null | 2024-05-10T00:01:00.000Z ; delta_of_double_no_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m cost_change=(sum(delta(network.cost[1m]))) | SORT cost_change DESC, step DESC | LIMIT 10; @@ -62,7 +62,7 @@ null | 2024-05-10T00:01:00.000Z ; delta_of_integer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg(delta(network.eth0.currently_connected_clients[1m]))) | SORT step | LIMIT 10; @@ -100,7 +100,7 @@ null | prod | 2024-05-10T00:03:00.000Z ; delta_of_integer_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg by (cluster) (delta(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -143,7 +143,7 @@ tx:double | cluster:keyword | time_bucket:datetime ; delta_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m tx=(sum by (cluster) (delta(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -197,7 +197,7 @@ avg_bytes:double | cluster:keyword | time_bucket:datetime | kb_minus_offs ; eval_on_delta_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m avg_bytes=(avg by (cluster) (delta(network.bytes_in[10m]))) | EVAL kb_minus_offset = (avg_bytes - 100) / 1000.0 @@ -273,7 +273,7 @@ events:double | pod:keyword | time_bucket:datetime ; delta_all_value_types_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m events=(sum by (pod) (delta(events_received[10m]))) | SORT events DESC, pod, step | LIMIT 10; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-first-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-first-over-time.csv-spec index 658a0f9a6adb9..22b077311e61a 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-first-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-first-over-time.csv-spec @@ -16,7 +16,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; first_over_time_of_integer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg by (cluster) (first_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -52,7 +52,7 @@ bytes:double | cluster:keyword | time_bucket:datetime ; first_over_time_of_long_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m bytes=(avg by (cluster) (first_over_time(network.bytes_in[1m]))) | SORT step, cluster | LIMIT 10; @@ -87,7 +87,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; first_over_time_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m tx=(sum by (cluster) (first_over_time(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -160,7 +160,7 @@ max_bytes:double | cluster:keyword | time_bucket:datetime | kb_minus_offse ; eval_on_first_over_time_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m max_bytes=(avg by (cluster) (first_over_time(network.bytes_in[10m]))) | EVAL kb_minus_offset = (max_bytes - 100) / 1000.0 @@ -229,7 +229,7 @@ events:long | pod:keyword | time_bucket:datetime ; first_over_time_all_value_types_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m events=(sum by (pod) (first_over_time(events_received[10m]))) | SORT events DESC, pod, step | LIMIT 10; @@ -267,7 +267,7 @@ sum:double | pod:keyword | time_bucket:datetime ; first_over_time_counter_double_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: first_last_over_time_counter_support PROMQL index=k8s step=10m sum=(sum by (pod) (first_over_time(network.total_cost[10m]))) @@ -306,7 +306,7 @@ max:long | pod:keyword | time_bucket:datetime ; first_over_time_counter_long_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: first_last_over_time_counter_support PROMQL index=k8s step=10m max=(max by (pod) (first_over_time(network.total_bytes_in[10m]))) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-idelta.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-idelta.csv-spec index 0502cf4b201b8..886c2e1e87d3e 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-idelta.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-idelta.csv-spec @@ -18,7 +18,7 @@ null | 2024-05-10T00:01:00.000Z ; idelta_of_double_no_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m cost_change=(sum(idelta(network.cost[1m]))) | SORT cost_change DESC, step DESC | LIMIT 10; @@ -54,7 +54,7 @@ null | 2024-05-10T00:01:00.000Z ; idelta_of_integer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg(idelta(network.eth0.currently_connected_clients[1m]))) | SORT step | LIMIT 10; @@ -91,7 +91,7 @@ null | prod | 2024-05-10T00:03:00.000Z ; idelta_of_integer_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg by (cluster) (idelta(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -133,7 +133,7 @@ tx:double | cluster:keyword | time_bucket:datetime ; idelta_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m tx=(sum by (cluster) (idelta(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -187,7 +187,7 @@ avg_bytes:double | cluster:keyword | time_bucket:datetime | kb_minus_offs ; eval_on_idelta_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m avg_bytes=(avg by (cluster) (idelta(network.bytes_in[10m]))) | EVAL kb_minus_offset = (avg_bytes - 100) / 1000.0 @@ -266,7 +266,7 @@ events:double | pod:keyword | time_bucket:datetime ; idelta_all_value_types_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m events=(sum by (pod) (idelta(events_received[10m]))) | SORT events DESC, pod, step | LIMIT 10; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-increase.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-increase.csv-spec index f898198252394..8bc67beaabb1c 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-increase.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-increase.csv-spec @@ -21,7 +21,7 @@ increase_bytes_in:double | time_bucket:datetime ; increase_of_long_no_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m increase_bytes_in=(avg(increase(network.total_bytes_in[1m]))) | SORT increase_bytes_in DESC, step DESC | LIMIT 10; @@ -64,7 +64,7 @@ increase_bytes_in:double | cluster:keyword | time_bucket:datetime ; increase_of_long_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=5m increase_bytes_in=(avg by (cluster) (increase(network.total_bytes_in[5m]))) | EVAL increase_bytes_in = ROUND(increase_bytes_in, 6) @@ -108,7 +108,7 @@ increase_cost:double | time_bucket:datetime ; increase_of_double_no_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m increase_cost=(sum(increase(network.total_cost[1m]))) | SORT increase_cost DESC, step | LIMIT 10; @@ -153,7 +153,7 @@ increase_bytes_in:double | cluster:keyword | time_bucket:datetime ; increase_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m increase_bytes_in=(sum by (cluster) (increase(network.total_bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -216,7 +216,7 @@ increase_bytes:double | cluster:keyword | time_bucket:datetime | increase_kb ; eval_on_increase_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m increase_bytes=(avg by (cluster) (increase(network.total_bytes_in[10m]))) | EVAL increase_kb = increase_bytes / 1024.0 @@ -272,7 +272,7 @@ increase_bytes_in:double | time_bucket:datetime ; increase_of_expression_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m increase_bytes_in=(avg(increase(network.total_bytes_in[1m]) + 10)) | SORT increase_bytes_in DESC, step DESC | LIMIT 10; @@ -358,7 +358,7 @@ increase_of_ratio:double | cluster:keyword | time_bucket:datetime ; increase_of_ratio_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m increase_of_ratio=(sum by (cluster) (increase(network.total_cost[10m]) / increase(network.total_bytes_in[10m]))) | SORT step, cluster | LIMIT 10; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-irate.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-irate.csv-spec index df16bafce033c..e38c5640f9774 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-irate.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-irate.csv-spec @@ -23,7 +23,7 @@ null | 2024-05-10T00:01:00.000Z ; irate_of_long_no_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m irate_bytes_in=(avg(irate(network.total_bytes_in[1m]))) | SORT irate_bytes_in DESC, step DESC | LIMIT 10; @@ -63,7 +63,7 @@ irate_bytes_in:double | cluster:keyword | time_bucket:datetime ; irate_of_long_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=5m irate_bytes_in=(avg by (cluster) (irate(network.total_bytes_in[5m]))) | SORT irate_bytes_in DESC, step, cluster | LIMIT 10; @@ -102,7 +102,7 @@ null | 2024-05-10T00:01:00.000Z ; irate_of_double_no_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m irate_cost=(sum(irate(network.total_cost[1m]))) | SORT irate_cost DESC, step | LIMIT 10; @@ -145,7 +145,7 @@ irate_bytes_in:double | cluster:keyword | time_bucket:datetime ; irate_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m irate_bytes_in=(sum by (cluster) (irate(network.total_bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -183,7 +183,7 @@ irate_bytes:double | cluster:keyword | time_bucket:datetime | irate_kb:doubl ; eval_on_irate_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m irate_bytes=(avg by (cluster) (irate(network.total_bytes_in[10m]))) | EVAL irate_kb = irate_bytes / 1024.0 @@ -235,7 +235,7 @@ null | 2024-05-10T00:01:00.000Z ; irate_of_expression_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m irate_bytes_in=(avg(irate(network.total_bytes_in[1m]) + 10)) | SORT irate_bytes_in DESC, step DESC | LIMIT 10; @@ -356,7 +356,7 @@ irate_of_ratio:double | cluster:keyword | time_bucket:datetime ; irate_of_ratio_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m irate_of_ratio=(sum by (cluster) (irate(network.total_cost[10m]) / irate(network.total_bytes_in[10m]))) | SORT step, cluster | LIMIT 10; @@ -394,7 +394,7 @@ null | qa | 2024-05-10T00:22:00.000Z ; irate_of_long_grouping_1min_nulls_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=2m irate_bytes_in=(avg by (cluster) (irate(network.total_bytes_in[2m]))) | SORT irate_bytes_in NULLS FIRST, step, cluster | LIMIT 10; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-last-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-last-over-time.csv-spec index 898e7a48a7031..2e148e2ebcf7b 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-last-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-last-over-time.csv-spec @@ -16,7 +16,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; last_over_time_of_integer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg by (cluster) (last_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -52,7 +52,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; implicit_last_over_time_of_integer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg by (cluster) (network.eth0.currently_connected_clients)) | SORT step, cluster | LIMIT 10; @@ -88,7 +88,7 @@ bytes:double | cluster:keyword | time_bucket:datetime ; last_over_time_of_long_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m bytes=(avg by (cluster) (last_over_time(network.bytes_in[1m]))) | SORT step, cluster | LIMIT 10; @@ -124,7 +124,7 @@ bytes:double | cluster:keyword | time_bucket:datetime ; implicit_last_over_time_of_long_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m bytes=(avg by (cluster) (network.bytes_in)) | SORT step, cluster | LIMIT 10; @@ -159,7 +159,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; last_over_time_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m tx=(sum by (cluster) (last_over_time(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -194,7 +194,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; implicit_last_over_time_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m tx=(sum by (cluster) (network.bytes_in{pod="one"})) | SORT step, cluster | LIMIT 10; @@ -228,7 +228,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; implicit_last_over_time_with_inline_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m tx=(sum by (cluster) (network.bytes_in{pod="one"})) | SORT step, cluster | LIMIT 10; @@ -286,7 +286,7 @@ max_bytes:double | cluster:keyword | time_bucket:datetime | kb_minus_offset ; eval_on_last_over_time_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m max_bytes=(avg by (cluster) (last_over_time(network.bytes_in[10m]))) | EVAL kb_minus_offset = (max_bytes - 100) / 1000.0 @@ -372,7 +372,7 @@ null | two | 2024-05-10T00:13:00.000Z ; last_over_time_null_values_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m start="2024-05-10T00:10:00.000Z" end="2024-05-10T00:15:00.000Z" events=(sum by (pod) (last_over_time(events_received[1m]))) | SORT events DESC, pod, step | LIMIT 10; @@ -424,7 +424,7 @@ events:long | pod:keyword | time_bucket:datetime ; last_over_time_all_value_types_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m events=(sum by (pod) (last_over_time(events_received[10m]))) | SORT events DESC, pod, step | LIMIT 10; @@ -479,7 +479,7 @@ sum:double | pod:keyword | time_bucket:datetime ; last_over_time_counter_double_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: first_last_over_time_counter_support PROMQL index=k8s step=10m sum=(sum by (pod) (last_over_time(network.total_cost[10m]))) @@ -518,7 +518,7 @@ max:long | pod:keyword | time_bucket:datetime ; last_over_time_counter_long_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: first_last_over_time_counter_support PROMQL index=k8s step=10m max=(max by (pod) (last_over_time(network.total_bytes_in[10m]))) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-max-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-max-over-time.csv-spec index bee3e8ee6c346..a8a2fac3e056c 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-max-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-max-over-time.csv-spec @@ -18,7 +18,7 @@ cost:double | time_bucket:datetime ; max_over_time_of_double_no_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m cost=(sum(max_over_time(network.cost[1m]))) | SORT cost DESC, step DESC | LIMIT 10; @@ -119,7 +119,7 @@ bytes_in:long | time_bucket:datetime ; max_over_time_of_long_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m bytes_in=(sum(max_over_time(network.bytes_in[1m]))) | SORT bytes_in DESC, step | LIMIT 10; @@ -155,7 +155,7 @@ bytes_in:long | cluster:keyword | time_bucket:datetime ; max_over_time_of_long_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m bytes_in=(sum by (cluster) (max_over_time(network.bytes_in[1m]))) | SORT bytes_in DESC, step | LIMIT 10; @@ -191,7 +191,7 @@ false | 2024-05-10T00:09:00.000Z ; max_over_time_of_boolean_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m eth0_up=(min(max_over_time(network.eth0.up[1m]))) | SORT step | LIMIT 10; @@ -227,7 +227,7 @@ false | staging | 2024-05-10T00:03:00.000Z ; max_over_time_of_boolean_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m eth0_up=(min by (cluster) (max_over_time(network.eth0.up[1m]))) | SORT step, cluster | LIMIT 10; @@ -331,7 +331,7 @@ clients:double | time_bucket:datetime ; max_over_time_of_integer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg(max_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step | LIMIT 10; @@ -367,7 +367,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; max_over_time_of_integer_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg by (cluster) (max_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -438,7 +438,7 @@ false | 2024-05-10T00:09:00.000Z ; max_over_time_of_keyword_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m pod=(min(max_over_time(network.eth0.up[1m]))) | SORT step | LIMIT 10; @@ -474,7 +474,7 @@ false | staging | 2024-05-10T00:03:00.000Z ; max_over_time_of_keyword_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m pod=(min by (cluster) (max_over_time(network.eth0.up[1m]))) | SORT step, cluster | LIMIT 10; @@ -503,7 +503,7 @@ tx:double | time_bucket:datetime ; max_over_time_of_aggregate_metric_double_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum(max_over_time(network.eth0.tx[10m]))) @@ -533,7 +533,7 @@ tx:double | cluster:keyword | time_bucket:datetime ; max_over_time_of_aggregate_metric_double_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum by (cluster) (max_over_time(network.eth0.tx[10m]))) @@ -568,7 +568,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; max_over_time_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m tx=(sum by (cluster) (max_over_time(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -615,7 +615,7 @@ max_bytes:double | cluster:keyword | time_bucket:datetime | kb_minus_offset ; eval_on_max_over_time_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m max_bytes=(avg by (cluster) (max_over_time(network.bytes_in[10m]))) | EVAL kb_minus_offset = (max_bytes - 100) / 1000.0 @@ -653,7 +653,7 @@ events:long | pod:keyword | time_bucket:datetime # PromQL omits buckets with no samples: # https://github.com/prometheus/prometheus/blob/14de1eb043f2b264056a9d1426d5db8c068c3b32/promql/functions.go#L1052 max_over_time_multi_values_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m start="2024-05-10T00:00:00.000Z" end="2024-05-10T00:09:00.000Z" events=(sum by (pod) (max_over_time(events_received[1m]))) | SORT events DESC, step | LIMIT 10; @@ -689,7 +689,7 @@ null | two | 2024-05-10T00:13:00.000Z ; max_over_time_null_values_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m start="2024-05-10T00:10:00.000Z" end="2024-05-10T00:15:00.000Z" events=(sum by (pod) (max_over_time(events_received[1m]))) | SORT events DESC, step | LIMIT 10; @@ -724,7 +724,7 @@ events:long | pod:keyword | time_bucket:datetime ; max_over_time_all_value_types_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m start="2024-05-09T23:20:00.000Z" end="2024-05-10T00:20:00.000Z" events=(sum by (pod) (max_over_time(events_received[10m]))) | SORT step, pod | LIMIT 10; @@ -754,7 +754,7 @@ bytes:double | time_bucket:datetime # Awaits fix: https://github.com/elastic/metrics-program/issues/302 max_over_time_aggregate_metric_double_implicit_casting_promql-Ignore -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum(max_over_time(network.eth0.rx[10m]))) @@ -789,7 +789,7 @@ bytes:double | pod:keyword | time_bucket:datetime # Awaits fix: https://github.com/elastic/metrics-program/issues/302 max_over_time_aggregate_metric_double_implicit_casting_grouping_promql-Ignore -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum by (pod) (max_over_time(network.eth0.rx[10m]))) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-min-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-min-over-time.csv-spec index b424a34fad428..d1d2013720b62 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-min-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-min-over-time.csv-spec @@ -17,7 +17,7 @@ cost:double | time_bucket:datetime ; min_over_time_of_double_no_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m cost=(sum(min_over_time(network.cost[1m]))) | SORT cost DESC, step DESC | LIMIT 10; @@ -87,7 +87,7 @@ bytes_in:long | time_bucket:datetime ; min_over_time_of_long_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m bytes_in=(sum(min_over_time(network.bytes_in[1m]))) | SORT bytes_in DESC, step | LIMIT 10; @@ -138,7 +138,7 @@ bytes_in:long | time_bucket:datetime ; min_over_time_with_window_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: time_series_window_v1 PROMQL index=k8s step=1m bytes_in=(sum(min_over_time(network.bytes_in[3m]))) @@ -185,7 +185,7 @@ bytes_in:long | cluster:keyword | time_bucket:datetime ; min_over_time_of_long_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m bytes_in=(sum by (cluster) (min_over_time(network.bytes_in[1m]))) | SORT bytes_in DESC, step | LIMIT 10; @@ -214,7 +214,7 @@ true | 2024-05-10T00:20:00.000Z ; min_over_time_of_boolean_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m eth0_up=(max(min_over_time(network.eth0.up[10m]))) | SORT step | LIMIT 10; @@ -243,7 +243,7 @@ false | staging | 2024-05-10T00:03:00.000Z ; min_over_time_of_boolean_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m eth0_up=(min by (cluster) (min_over_time(network.eth0.up[1m]))) | SORT step, cluster | LIMIT 10; @@ -347,7 +347,7 @@ clients:double | time_bucket:datetime ; min_over_time_of_integer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg(min_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step | LIMIT 10; @@ -383,7 +383,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; min_over_time_of_integer_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg by (cluster) (min_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -453,7 +453,7 @@ false | 2024-05-10T00:09:00.000Z ; min_over_time_of_keyword_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m pod=(min(min_over_time(network.eth0.up[1m]))) | SORT step | LIMIT 10; @@ -489,7 +489,7 @@ false | staging | 2024-05-10T00:03:00.000Z ; min_over_time_of_keyword_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m pod=(min by (cluster) (min_over_time(network.eth0.up[1m]))) | SORT step, cluster | LIMIT 10; @@ -519,7 +519,7 @@ tx:double | time_bucket:datetime ; min_over_time_of_aggregate_metric_double_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum(min_over_time(network.eth0.tx[10m]))) @@ -549,7 +549,7 @@ tx:double | cluster:keyword | time_bucket:datetime ; min_over_time_of_aggregate_metric_double_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum by (cluster) (min_over_time(network.eth0.tx[10m]))) @@ -584,7 +584,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; min_over_time_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m tx=(sum by (cluster) (min_over_time(network.bytes_in{pod!="three"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -631,7 +631,7 @@ min_bytes:long | pod:keyword | time_bucket:datetime | kb:double ; eval_on_min_over_time_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m min_bytes=(sum by (pod) (min_over_time(network.bytes_in[10m]))) | EVAL kb = min_bytes / 1000.0 @@ -667,7 +667,7 @@ events:long | pod:keyword | time_bucket:datetime ; min_over_time_multi_values_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m start="2024-05-10T00:00:00.000Z" end="2024-05-10T00:09:00.000Z" events=(sum by (pod) (min_over_time(events_received[1m]))) | SORT events, step | LIMIT 10; @@ -705,7 +705,7 @@ null | two | 2024-05-10T00:13:00.000Z # PromQL omits buckets with no samples: # https://github.com/prometheus/prometheus/blob/14de1eb043f2b264056a9d1426d5db8c068c3b32/promql/functions.go#L1052 min_over_time_null_values_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m start="2024-05-10T00:10:00.000Z" end="2024-05-10T00:15:00.000Z" events=(sum by (pod) (min_over_time(events_received[1m]))) | SORT events, step | LIMIT 10; @@ -740,7 +740,7 @@ events:long | pod:keyword | time_bucket:datetime ; min_over_time_all_value_types_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m events=(sum by (pod) (min_over_time(events_received[10m]))) | SORT events, pod, step | LIMIT 10; @@ -773,7 +773,7 @@ bytes:double | time_bucket:datetime # Awaits fix: index wildcard selector not yet available for PromQL. min_over_time_aggregate_metric_double_implicit_casting_promql-Ignore -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum by (pod) (min_over_time(network.eth0.rx[10m]))) @@ -812,7 +812,7 @@ bytes:double | pod:keyword | time_bucket:datetime # Awaits fix: index wildcard selector not yet available for PromQL. min_over_time_aggregate_metric_double_implicit_casting_grouping_promql-Ignore -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum by (pod) (min_over_time(network.eth0.rx[10m]))) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-present-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-present-over-time.csv-spec index 16d465cb1c858..cac0d697f4193 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-present-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-present-over-time.csv-spec @@ -21,7 +21,7 @@ true | two | 2024-05-10T00:22:00.000Z ; present_over_time_events_received_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=2m start="2024-05-10T00:02:00.000Z" end="2024-05-10T00:22:00.000Z" events_received=(max by (pod) (present_over_time(events_received{cluster="prod",pod="two"}[2m]))) | SORT step; @@ -56,7 +56,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_long_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.bytes_in[10m]))) | SORT cluster, step | LIMIT 10; @@ -90,7 +90,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_boolean_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.eth0.up[10m]))) | SORT step, cluster | LIMIT 10; @@ -124,7 +124,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_date_nanos_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.eth0.last_up[10m]))) | SORT step, cluster | LIMIT 10; @@ -158,7 +158,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_date_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.eth0.last_up[10m]))) | SORT step, cluster | LIMIT 10; @@ -192,7 +192,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_version_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.eth0.firmware_version[10m]))) | SORT step, cluster | LIMIT 10; @@ -226,7 +226,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_integer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.eth0.currently_connected_clients[10m]))) | SORT step, cluster | LIMIT 10; @@ -260,7 +260,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_text_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(event_log[10m]))) | SORT cluster, step | LIMIT 10; @@ -294,7 +294,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_keyword_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.eth0.up[10m]))) | SORT step, cluster | LIMIT 10; @@ -329,7 +329,7 @@ true | staging | 2024-05-09T23:50:00.000Z ; present_over_time_of_aggregate_metric_double_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m is_present=(max by (cluster) (present_over_time(network.eth0.tx[10m]))) @@ -364,7 +364,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_geopoint_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(event_city[10m]))) | SORT step, cluster | LIMIT 10; @@ -398,7 +398,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_geoshape_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(event_city_boundary[10m]))) | SORT step, cluster | LIMIT 10; @@ -432,7 +432,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_shape_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(event_shape[10m]))) | SORT step, cluster | LIMIT 10; @@ -466,7 +466,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_point_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(event_location[10m]))) | SORT step, cluster | LIMIT 10; @@ -500,7 +500,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.bytes_in{pod!="three"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -547,7 +547,7 @@ true | two | 2024-05-10T00:20:00.000Z | 1 ; eval_on_present_over_time_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m is_present=(max by (pod) (present_over_time(network.bytes_in[10m]))) | EVAL int = to_integer(is_present) @@ -588,7 +588,7 @@ events_received:integer | pod:keyword | time_bucket:datetime ; present_over_time_events_received_as_integer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=2m start="2024-05-10T00:02:00.000Z" end="2024-05-10T00:22:00.000Z" events_received=(max by (pod) (present_over_time(events_received{cluster="prod",pod="two"}[2m]))) | SORT step; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec index 9703182550d78..c27f038da1643 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec @@ -3,7 +3,7 @@ // This makes it easy to verify that PromQL and TS produce the same results for the same functionality where applicable // and helps to ensure we have the same test coverage for PromQL vs TS|STATS. promql_start_end_step -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=5m start="2024-05-10T00:20:00.000Z" end="2024-05-10T00:25:00.000Z" ( sum(avg_over_time(network.cost[5m])) ); @@ -13,7 +13,7 @@ sum(avg_over_time(network.cost[5m])):double | step:date ; no_parentheses -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=5m start="2024-05-10T00:20:00.000Z" end="2024-05-10T00:25:00.000Z" sum(avg_over_time(network.cost[5m])); sum(avg_over_time(network.cost[5m])):double | step:date @@ -21,7 +21,7 @@ sum(avg_over_time(network.cost[5m])):double | step:date ; not_equals_filter -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h cost=(max by (cluster) (network.total_bytes_in{cluster!="prod"})) | SORT cluster; @@ -31,7 +31,7 @@ cost:double | step:datetime | cluster:keyword ; equals_filter -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h cost=(max by (cluster) (network.total_bytes_in{cluster="prod"})) | SORT cluster; @@ -40,7 +40,7 @@ cost:double | step:datetime | cluster:keyword ; not_regex_filter -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h cost=(max by (cluster) (network.total_bytes_in{cluster!~"pr.d"})) | SORT cluster; @@ -50,7 +50,7 @@ cost:double | step:datetime | cluster:keyword ; regex_filter -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h cost=(max by (cluster) (network.total_bytes_in{cluster=~"pr.d"})) | SORT cluster; @@ -59,7 +59,7 @@ cost:double | step:datetime | cluster:keyword ; range_selector_different_from_step -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: time_series_window_v1 PROMQL index=k8s step=5m start="2024-05-10T00:10:00.000Z" end="2024-05-10T00:15:00.000Z" sum by (pod) (avg_over_time(events_received[10m])) | SORT pod @@ -73,7 +73,7 @@ sum by (pod) (avg_over_time(events_received[10m])):double | step:datetime // value transformation functions ceil -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h ceil=(ceil(sum(avg_over_time(network.cost[1h])) by (cluster))) | SORT cluster; @@ -84,7 +84,7 @@ ceil:double | step:datetime | cluster:keyword ; ceil_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h ceil_scalar=(ceil(vector(3.14159))); ceil_scalar:double | step:datetime @@ -92,7 +92,7 @@ ceil_scalar:double | step:datetime ; abs_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h abs_scalar=(abs(vector(-3.14159))); abs_scalar:double | step:datetime @@ -100,7 +100,7 @@ abs_scalar:double | step:datetime ; exp_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h exp_scalar=(exp(vector(0.0))); exp_scalar:double | step:datetime @@ -108,7 +108,7 @@ exp_scalar:double | step:datetime ; sqrt_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h sqrt_scalar=(sqrt(vector(4.0))); sqrt_scalar:double | step:datetime @@ -116,7 +116,7 @@ sqrt_scalar:double | step:datetime ; log10_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h log10_scalar=(log10(vector(100.0))); log10_scalar:double | step:datetime @@ -124,7 +124,7 @@ log10_scalar:double | step:datetime ; floor_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h floor_scalar=(floor(vector(3.14159))); floor_scalar:double | step:datetime @@ -132,7 +132,7 @@ floor_scalar:double | step:datetime ; asin_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(asin(vector(0.0))); result:double | step:datetime @@ -140,7 +140,7 @@ result:double | step:datetime ; acos_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(acos(vector(1.0))); result:double | step:datetime @@ -148,7 +148,7 @@ result:double | step:datetime ; atan_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(atan(vector(0.0))); result:double | step:datetime @@ -156,7 +156,7 @@ result:double | step:datetime ; cos_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(cos(vector(0.0))); result:double | step:datetime @@ -164,7 +164,7 @@ result:double | step:datetime ; cosh_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(cosh(vector(0.0))); result:double | step:datetime @@ -172,7 +172,7 @@ result:double | step:datetime ; sinh_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(sinh(vector(0.0))); result:double | step:datetime @@ -180,7 +180,7 @@ result:double | step:datetime ; sin_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(sin(vector(0.0))); result:double | step:datetime @@ -188,7 +188,7 @@ result:double | step:datetime ; tan_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(tan(vector(0.0))); result:double | step:datetime @@ -196,7 +196,7 @@ result:double | step:datetime ; tanh_scalar -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(tanh(vector(0.0))); result:double | step:datetime diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-rate.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-rate.csv-spec index 9299d6603400f..fc8800778a521 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-rate.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-rate.csv-spec @@ -21,7 +21,7 @@ rate_bytes_in:double | time_bucket:datetime ; rate_of_long_no_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m rate_bytes_in=(avg(rate(network.total_bytes_in[1m]))) | EVAL rate_bytes_in=ROUND(rate_bytes_in, 6), step=step @@ -63,7 +63,7 @@ rate_bytes_in:double | cluster:keyword | time_bucket:datetime ; rate_of_long_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=5m rate_bytes_in=(avg by (cluster) (rate(network.total_bytes_in[5m]))) | EVAL rate_bytes_in=ROUND(rate_bytes_in, 6), step=step, cluster=cluster @@ -138,7 +138,7 @@ rate_cost:double | time_bucket:datetime ; rate_of_double_no_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m rate_cost=(sum(rate(network.total_cost[1m]))) | EVAL rate_cost=ROUND(rate_cost, 6), step=step @@ -179,7 +179,7 @@ rate_bytes_in:double | cluster:keyword | time_bucket:datetime ; rate_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m rate_bytes_in=(sum by (cluster) (rate(network.total_bytes_in{pod="one"}[10m]))) | EVAL rate_bytes_in=ROUND(rate_bytes_in, 6), step=step, cluster=cluster @@ -259,7 +259,7 @@ sum_bytes:double | max_bytes:double | min_bytes:double | avg_bytes:double | time ; rate_of_aggregate_metric_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=30m avg_bytes=(avg(rate(network.total_bytes_in[30m]))) @@ -428,7 +428,7 @@ rate_bytes_in:double | cluster:keyword | time_bucket:datetime ; trange_absolute_with_rate_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=2m start="2024-05-10T00:15:00.000Z" end="2024-05-10T00:25:00.000Z" rate_bytes_in=(avg by (cluster) (rate(network.total_bytes_in[2m]))) | EVAL rate_bytes_in=ROUND(rate_bytes_in, 6), step=step, cluster=cluster diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-sum-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-sum-over-time.csv-spec index 321d90054d850..89e6a3d76173e 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-sum-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-sum-over-time.csv-spec @@ -18,7 +18,7 @@ cost:double | time_bucket:datetime ; sum_over_time_of_double_no_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m cost=(sum(sum_over_time(network.cost[1m]))) | SORT cost DESC, step DESC | LIMIT 10; @@ -54,7 +54,7 @@ clients:double | time_bucket:datetime ; sum_over_time_of_integer_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg(sum_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step | LIMIT 10; @@ -90,7 +90,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; sum_over_time_of_integer_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m clients=(avg by (cluster) (sum_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -120,7 +120,7 @@ tx:double | time_bucket:datetime ; sum_over_time_of_aggregate_metric_double_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum(sum_over_time(network.eth0.tx[10m]))) @@ -150,7 +150,7 @@ tx:double | cluster:keyword | time_bucket:datetime ; sum_over_time_of_aggregate_metric_double_grouping_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum by (cluster) (sum_over_time(network.eth0.tx[10m]))) @@ -185,7 +185,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; sum_over_time_with_filtering_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m tx=(sum by (cluster) (sum_over_time(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -232,7 +232,7 @@ tx:long | cluster:keyword | time_bucket:datetime sum_over_time_with_window_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=5m tx=(sum by (cluster) (sum_over_time(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster @@ -270,7 +270,7 @@ cost:double | pod:keyword | time_bucket:datetime ; sum_over_time_older_than_10d_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m start="2024-05-09T23:00:00.000Z" end="2024-05-10T00:00:00.000Z" cost=(avg by (pod) (sum_over_time(network.eth0.rx{cluster="qa"}[10m]))) @@ -302,7 +302,7 @@ max_bytes:double | cluster:keyword | time_bucket:datetime | kb_minus_offse # Awaits fix: Arithmetic on instant vector is not supported at this time. eval_on_sum_over_time_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m max_bytes=(avg by (cluster) (sum_over_time(network.bytes_in[10m]))) | EVAL kb_minus_offset = (max_bytes - 100) / 1000.0 @@ -338,7 +338,7 @@ events:long | pod:keyword | time_bucket:datetime ; sum_over_time_multi_values_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m start="2024-05-10T00:00:00.000Z" end="2024-05-10T00:10:00.000Z" events=(sum by (pod) (sum_over_time(events_received[1m]))) | SORT events desc, step, pod | LIMIT 10; @@ -374,7 +374,7 @@ null | two | 2024-05-10T00:13:00.000Z ; sum_over_time_null_values_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m start="2024-05-10T00:10:00.000Z" end="2024-05-10T00:15:00.000Z" events=(sum by (pod) (sum_over_time(events_received[1m]))) | SORT events desc, step, pod | LIMIT 10; @@ -409,7 +409,7 @@ events:long | pod:keyword | time_bucket:datetime ; sum_over_time_all_value_types_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=10m events=(sum by (pod) (sum_over_time(events_received[10m]))) | SORT events desc, pod, step | LIMIT 10; @@ -442,7 +442,7 @@ bytes:double | time_bucket:datetime # Awaits fix: Index wildcard selector is not supported at this time. sum_over_time_aggregate_metric_double_implicit_casting_promql-Ignore -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum(sum_over_time(network.eth0.rx[10m]))) @@ -477,7 +477,7 @@ bytes:double | pod:keyword | time_bucket:datetime # Awaits fix: Index wildcard selector is not supported at this time. sum_over_time_aggregate_metric_double_implicit_casting_grouping_promql-Ignore -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum by (pod) (sum_over_time(network.eth0.rx[10m]))) @@ -510,7 +510,7 @@ sum:long | pod:keyword | time_bucket:datetime # Awaits fix: Subqueries are not supported at this time. sum_over_time_nested_expression_promql-Ignore -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1m sum=(sum by (pod) (sum_over_time((network.eth0.rx % 2)[1m:]))) | SORT sum desc, step, pod | LIMIT 5; @@ -537,7 +537,7 @@ min:long | time_bucket:datetime ; sum_over_time_nested_expression_in_grouping_with_alias_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=5m min=(min(sum_over_time(network.bytes_in[5m]))) | SORT step | LIMIT 10; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries.csv-spec index 4594beb75be5c..8f35a7074a3ae 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries.csv-spec @@ -139,7 +139,7 @@ max_rate: double | time_bucket:date ; oneRateWithPromql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview required_capability: rate_with_interpolation_v2 PROMQL index=k8s step=5m max(rate(network.total_bytes_in[5m])) @@ -163,7 +163,7 @@ max_rate: double | time_bucket:date ; oneRateWithSingleStepPromql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h max(rate(network.total_bytes_in[1h])); max(rate(network.total_bytes_in[1h])):double | step:datetime @@ -752,7 +752,7 @@ maxRate:double | tbucket:datetime ; instant_selector_dimensions_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h network.cost | SORT network.cost DESC @@ -818,7 +818,7 @@ count:long | _timeseries:keyword ; bare_count_over_time_with_tbucket_outputs_dimensions_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h count=(count_over_time(network.cost[1h])) | SORT count DESC @@ -862,7 +862,7 @@ network.cost:double | _timeseries:keyword ; bare_metric_with_tbucket_outputs_dimensions_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h network.cost | SORT network.cost DESC ; @@ -927,7 +927,7 @@ avg:double | _timeseries:keyword ; bare_avg_over_time_with_tbucket_outputs_dimensions_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h avg=(avg_over_time(network.cost[1h])) | SORT avg DESC @@ -993,7 +993,7 @@ sum:double | _timeseries:keyword ; bare_sum_over_time_with_tbucket_outputs_dimensions_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h sum=(sum_over_time(network.cost[1h])) | SORT sum DESC @@ -1038,7 +1038,7 @@ _timeseries:keyword | tbucket: ; bare_rate_with_tbucket_outputs_dimensions_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h rate=(rate(network.total_bytes_in[1h])) | EVAL rate=ROUND(rate, 3) @@ -1216,7 +1216,7 @@ max_deriv:double | max_rate:double | time_bucket:date_nanos | cluster:keyword ; derivative_of_gauge_metric_promql -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=5m max_deriv=(max by (pod) (deriv(network.cost{pod="three"}[5m]))) | SORT step diff --git a/x-pack/plugin/esql/src/main/antlr/EsqlBaseLexer.tokens b/x-pack/plugin/esql/src/main/antlr/EsqlBaseLexer.tokens index 260df0fcf0d3b..c84bf6ff205bc 100644 --- a/x-pack/plugin/esql/src/main/antlr/EsqlBaseLexer.tokens +++ b/x-pack/plugin/esql/src/main/antlr/EsqlBaseLexer.tokens @@ -30,7 +30,7 @@ MV_EXPAND=29 DROP=30 KEEP=31 DEV_INSIST=32 -DEV_PROMQL=33 +PROMQL=33 RENAME=34 SET=35 SHOW=36 @@ -178,6 +178,7 @@ SHOW_WS=158 'mv_expand'=29 'drop'=30 'keep'=31 +'promql'=33 'rename'=34 'set'=35 'show'=36 diff --git a/x-pack/plugin/esql/src/main/antlr/EsqlBaseParser.g4 b/x-pack/plugin/esql/src/main/antlr/EsqlBaseParser.g4 index 4b1001d9ebd29..5caa0ec8774eb 100644 --- a/x-pack/plugin/esql/src/main/antlr/EsqlBaseParser.g4 +++ b/x-pack/plugin/esql/src/main/antlr/EsqlBaseParser.g4 @@ -42,9 +42,9 @@ sourceCommand | rowCommand | showCommand | timeSeriesCommand + | promqlCommand // in development | {this.isDevVersion()}? explainCommand - | {this.isDevVersion()}? promqlCommand ; processingCommand diff --git a/x-pack/plugin/esql/src/main/antlr/EsqlBaseParser.tokens b/x-pack/plugin/esql/src/main/antlr/EsqlBaseParser.tokens index 260df0fcf0d3b..c84bf6ff205bc 100644 --- a/x-pack/plugin/esql/src/main/antlr/EsqlBaseParser.tokens +++ b/x-pack/plugin/esql/src/main/antlr/EsqlBaseParser.tokens @@ -30,7 +30,7 @@ MV_EXPAND=29 DROP=30 KEEP=31 DEV_INSIST=32 -DEV_PROMQL=33 +PROMQL=33 RENAME=34 SET=35 SHOW=36 @@ -178,6 +178,7 @@ SHOW_WS=158 'mv_expand'=29 'drop'=30 'keep'=31 +'promql'=33 'rename'=34 'set'=35 'show'=36 diff --git a/x-pack/plugin/esql/src/main/antlr/lexer/Promql.g4 b/x-pack/plugin/esql/src/main/antlr/lexer/Promql.g4 index 9f3e477220329..714bcc48ccb10 100644 --- a/x-pack/plugin/esql/src/main/antlr/lexer/Promql.g4 +++ b/x-pack/plugin/esql/src/main/antlr/lexer/Promql.g4 @@ -9,7 +9,7 @@ lexer grammar Promql; // // PromQL command with optional parameters and query text // -DEV_PROMQL : {this.isDevVersion()}? 'promql' -> pushMode(PROMQL_MODE); +PROMQL : 'promql' -> pushMode(PROMQL_MODE); mode PROMQL_MODE; diff --git a/x-pack/plugin/esql/src/main/antlr/parser/Promql.g4 b/x-pack/plugin/esql/src/main/antlr/parser/Promql.g4 index 905157c8f936f..bc6f8e35de3fb 100644 --- a/x-pack/plugin/esql/src/main/antlr/parser/Promql.g4 +++ b/x-pack/plugin/esql/src/main/antlr/parser/Promql.g4 @@ -7,8 +7,8 @@ parser grammar Promql; promqlCommand - : DEV_PROMQL promqlParam* (valueName ASSIGN)? LP promqlQueryPart+ RP - | DEV_PROMQL promqlParam* promqlQueryPart+ + : PROMQL promqlParam* (valueName ASSIGN)? LP promqlQueryPart+ RP + | PROMQL promqlParam* promqlQueryPart+ ; valueName diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java index 73270751347e8..81094e56c69da 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java @@ -1794,13 +1794,9 @@ public enum Cap { LIKE_PARAMETER_SUPPORT, /** - * PromQL support in ESQL, before it is released into tech preview. - * When implementing new functionality or breaking changes, - * we'll simply increment the version suffix at the end to prevent bwc tests from running. - * As soon as we move into tech preview, we'll replace this capability with a "EXPONENTIAL_HISTOGRAM_TECH_PREVIEW" one. - * At this point, we need to add new capabilities for any further changes. + * PromQL support in ESQL, in the state it was when first released as tech preview. */ - PROMQL_PRE_TECH_PREVIEW_V14(Build.current().isSnapshot()), + PROMQL_TECH_PREVIEW, /** * KNN function adds support for k and visit_percentage options diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/PromqlFeatures.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/PromqlFeatures.java index 89e67e5891810..abd9fea597f7a 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/PromqlFeatures.java +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/PromqlFeatures.java @@ -21,10 +21,10 @@ private PromqlFeatures() { * Exists to provide a single point of change and minimize noise when upgrading capability versions. */ public static boolean isEnabled() { - return EsqlCapabilities.Cap.TS_COMMAND_V0.isEnabled() && EsqlCapabilities.Cap.PROMQL_PRE_TECH_PREVIEW_V14.isEnabled(); + return EsqlCapabilities.Cap.TS_COMMAND_V0.isEnabled() && EsqlCapabilities.Cap.PROMQL_TECH_PREVIEW.isEnabled(); } public static String capabilityName() { - return EsqlCapabilities.Cap.PROMQL_PRE_TECH_PREVIEW_V14.capabilityName(); + return EsqlCapabilities.Cap.PROMQL_TECH_PREVIEW.capabilityName(); } } diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseLexer.interp b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseLexer.interp index b3aa4e3ac6c8c..f652194982e9d 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseLexer.interp +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseLexer.interp @@ -32,7 +32,7 @@ null 'drop' 'keep' null -null +'promql' 'rename' 'set' 'show' @@ -193,7 +193,7 @@ MV_EXPAND DROP KEEP DEV_INSIST -DEV_PROMQL +PROMQL RENAME SET SHOW @@ -353,7 +353,7 @@ MV_EXPAND DROP KEEP DEV_INSIST -DEV_PROMQL +PROMQL RENAME SET SHOW @@ -666,4 +666,4 @@ SET_MODE SHOW_MODE atn: -[4, 0, 158, 2324, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 2, 0, 7, 0, 2, 1, 7, 1, 2, 2, 7, 2, 2, 3, 7, 3, 2, 4, 7, 4, 2, 5, 7, 5, 2, 6, 7, 6, 2, 7, 7, 7, 2, 8, 7, 8, 2, 9, 7, 9, 2, 10, 7, 10, 2, 11, 7, 11, 2, 12, 7, 12, 2, 13, 7, 13, 2, 14, 7, 14, 2, 15, 7, 15, 2, 16, 7, 16, 2, 17, 7, 17, 2, 18, 7, 18, 2, 19, 7, 19, 2, 20, 7, 20, 2, 21, 7, 21, 2, 22, 7, 22, 2, 23, 7, 23, 2, 24, 7, 24, 2, 25, 7, 25, 2, 26, 7, 26, 2, 27, 7, 27, 2, 28, 7, 28, 2, 29, 7, 29, 2, 30, 7, 30, 2, 31, 7, 31, 2, 32, 7, 32, 2, 33, 7, 33, 2, 34, 7, 34, 2, 35, 7, 35, 2, 36, 7, 36, 2, 37, 7, 37, 2, 38, 7, 38, 2, 39, 7, 39, 2, 40, 7, 40, 2, 41, 7, 41, 2, 42, 7, 42, 2, 43, 7, 43, 2, 44, 7, 44, 2, 45, 7, 45, 2, 46, 7, 46, 2, 47, 7, 47, 2, 48, 7, 48, 2, 49, 7, 49, 2, 50, 7, 50, 2, 51, 7, 51, 2, 52, 7, 52, 2, 53, 7, 53, 2, 54, 7, 54, 2, 55, 7, 55, 2, 56, 7, 56, 2, 57, 7, 57, 2, 58, 7, 58, 2, 59, 7, 59, 2, 60, 7, 60, 2, 61, 7, 61, 2, 62, 7, 62, 2, 63, 7, 63, 2, 64, 7, 64, 2, 65, 7, 65, 2, 66, 7, 66, 2, 67, 7, 67, 2, 68, 7, 68, 2, 69, 7, 69, 2, 70, 7, 70, 2, 71, 7, 71, 2, 72, 7, 72, 2, 73, 7, 73, 2, 74, 7, 74, 2, 75, 7, 75, 2, 76, 7, 76, 2, 77, 7, 77, 2, 78, 7, 78, 2, 79, 7, 79, 2, 80, 7, 80, 2, 81, 7, 81, 2, 82, 7, 82, 2, 83, 7, 83, 2, 84, 7, 84, 2, 85, 7, 85, 2, 86, 7, 86, 2, 87, 7, 87, 2, 88, 7, 88, 2, 89, 7, 89, 2, 90, 7, 90, 2, 91, 7, 91, 2, 92, 7, 92, 2, 93, 7, 93, 2, 94, 7, 94, 2, 95, 7, 95, 2, 96, 7, 96, 2, 97, 7, 97, 2, 98, 7, 98, 2, 99, 7, 99, 2, 100, 7, 100, 2, 101, 7, 101, 2, 102, 7, 102, 2, 103, 7, 103, 2, 104, 7, 104, 2, 105, 7, 105, 2, 106, 7, 106, 2, 107, 7, 107, 2, 108, 7, 108, 2, 109, 7, 109, 2, 110, 7, 110, 2, 111, 7, 111, 2, 112, 7, 112, 2, 113, 7, 113, 2, 114, 7, 114, 2, 115, 7, 115, 2, 116, 7, 116, 2, 117, 7, 117, 2, 118, 7, 118, 2, 119, 7, 119, 2, 120, 7, 120, 2, 121, 7, 121, 2, 122, 7, 122, 2, 123, 7, 123, 2, 124, 7, 124, 2, 125, 7, 125, 2, 126, 7, 126, 2, 127, 7, 127, 2, 128, 7, 128, 2, 129, 7, 129, 2, 130, 7, 130, 2, 131, 7, 131, 2, 132, 7, 132, 2, 133, 7, 133, 2, 134, 7, 134, 2, 135, 7, 135, 2, 136, 7, 136, 2, 137, 7, 137, 2, 138, 7, 138, 2, 139, 7, 139, 2, 140, 7, 140, 2, 141, 7, 141, 2, 142, 7, 142, 2, 143, 7, 143, 2, 144, 7, 144, 2, 145, 7, 145, 2, 146, 7, 146, 2, 147, 7, 147, 2, 148, 7, 148, 2, 149, 7, 149, 2, 150, 7, 150, 2, 151, 7, 151, 2, 152, 7, 152, 2, 153, 7, 153, 2, 154, 7, 154, 2, 155, 7, 155, 2, 156, 7, 156, 2, 157, 7, 157, 2, 158, 7, 158, 2, 159, 7, 159, 2, 160, 7, 160, 2, 161, 7, 161, 2, 162, 7, 162, 2, 163, 7, 163, 2, 164, 7, 164, 2, 165, 7, 165, 2, 166, 7, 166, 2, 167, 7, 167, 2, 168, 7, 168, 2, 169, 7, 169, 2, 170, 7, 170, 2, 171, 7, 171, 2, 172, 7, 172, 2, 173, 7, 173, 2, 174, 7, 174, 2, 175, 7, 175, 2, 176, 7, 176, 2, 177, 7, 177, 2, 178, 7, 178, 2, 179, 7, 179, 2, 180, 7, 180, 2, 181, 7, 181, 2, 182, 7, 182, 2, 183, 7, 183, 2, 184, 7, 184, 2, 185, 7, 185, 2, 186, 7, 186, 2, 187, 7, 187, 2, 188, 7, 188, 2, 189, 7, 189, 2, 190, 7, 190, 2, 191, 7, 191, 2, 192, 7, 192, 2, 193, 7, 193, 2, 194, 7, 194, 2, 195, 7, 195, 2, 196, 7, 196, 2, 197, 7, 197, 2, 198, 7, 198, 2, 199, 7, 199, 2, 200, 7, 200, 2, 201, 7, 201, 2, 202, 7, 202, 2, 203, 7, 203, 2, 204, 7, 204, 2, 205, 7, 205, 2, 206, 7, 206, 2, 207, 7, 207, 2, 208, 7, 208, 2, 209, 7, 209, 2, 210, 7, 210, 2, 211, 7, 211, 2, 212, 7, 212, 2, 213, 7, 213, 2, 214, 7, 214, 2, 215, 7, 215, 2, 216, 7, 216, 2, 217, 7, 217, 2, 218, 7, 218, 2, 219, 7, 219, 2, 220, 7, 220, 2, 221, 7, 221, 2, 222, 7, 222, 2, 223, 7, 223, 2, 224, 7, 224, 2, 225, 7, 225, 2, 226, 7, 226, 2, 227, 7, 227, 2, 228, 7, 228, 2, 229, 7, 229, 2, 230, 7, 230, 2, 231, 7, 231, 2, 232, 7, 232, 2, 233, 7, 233, 2, 234, 7, 234, 2, 235, 7, 235, 2, 236, 7, 236, 2, 237, 7, 237, 2, 238, 7, 238, 2, 239, 7, 239, 2, 240, 7, 240, 2, 241, 7, 241, 2, 242, 7, 242, 2, 243, 7, 243, 2, 244, 7, 244, 2, 245, 7, 245, 2, 246, 7, 246, 2, 247, 7, 247, 2, 248, 7, 248, 2, 249, 7, 249, 2, 250, 7, 250, 2, 251, 7, 251, 2, 252, 7, 252, 2, 253, 7, 253, 2, 254, 7, 254, 2, 255, 7, 255, 2, 256, 7, 256, 2, 257, 7, 257, 2, 258, 7, 258, 2, 259, 7, 259, 2, 260, 7, 260, 2, 261, 7, 261, 2, 262, 7, 262, 2, 263, 7, 263, 2, 264, 7, 264, 2, 265, 7, 265, 2, 266, 7, 266, 2, 267, 7, 267, 2, 268, 7, 268, 2, 269, 7, 269, 2, 270, 7, 270, 2, 271, 7, 271, 2, 272, 7, 272, 2, 273, 7, 273, 2, 274, 7, 274, 2, 275, 7, 275, 2, 276, 7, 276, 2, 277, 7, 277, 2, 278, 7, 278, 2, 279, 7, 279, 2, 280, 7, 280, 2, 281, 7, 281, 2, 282, 7, 282, 2, 283, 7, 283, 2, 284, 7, 284, 2, 285, 7, 285, 2, 286, 7, 286, 2, 287, 7, 287, 2, 288, 7, 288, 2, 289, 7, 289, 2, 290, 7, 290, 2, 291, 7, 291, 2, 292, 7, 292, 2, 293, 7, 293, 2, 294, 7, 294, 2, 295, 7, 295, 2, 296, 7, 296, 2, 297, 7, 297, 2, 298, 7, 298, 2, 299, 7, 299, 2, 300, 7, 300, 2, 301, 7, 301, 2, 302, 7, 302, 2, 303, 7, 303, 2, 304, 7, 304, 2, 305, 7, 305, 2, 306, 7, 306, 2, 307, 7, 307, 2, 308, 7, 308, 2, 309, 7, 309, 2, 310, 7, 310, 2, 311, 7, 311, 2, 312, 7, 312, 2, 313, 7, 313, 2, 314, 7, 314, 2, 315, 7, 315, 2, 316, 7, 316, 2, 317, 7, 317, 1, 0, 1, 0, 1, 0, 1, 0, 5, 0, 660, 8, 0, 10, 0, 12, 0, 663, 9, 0, 1, 0, 3, 0, 666, 8, 0, 1, 0, 3, 0, 669, 8, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 5, 1, 678, 8, 1, 10, 1, 12, 1, 681, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 4, 2, 689, 8, 2, 11, 2, 12, 2, 690, 1, 2, 1, 2, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 8, 1, 8, 1, 8, 1, 8, 1, 8, 1, 8, 1, 8, 1, 9, 1, 9, 1, 9, 1, 9, 1, 9, 1, 9, 1, 9, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 11, 1, 11, 1, 11, 1, 11, 1, 11, 1, 11, 1, 11, 1, 11, 1, 11, 1, 12, 1, 12, 1, 12, 1, 12, 1, 12, 1, 12, 1, 13, 1, 13, 1, 13, 1, 13, 1, 13, 1, 13, 1, 13, 1, 13, 1, 13, 1, 14, 1, 14, 1, 14, 1, 14, 1, 14, 1, 14, 1, 14, 1, 15, 1, 15, 1, 15, 1, 15, 1, 15, 1, 15, 1, 15, 1, 15, 1, 16, 1, 16, 1, 16, 1, 16, 1, 16, 1, 16, 1, 16, 1, 16, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 18, 1, 18, 1, 18, 1, 18, 1, 18, 1, 19, 1, 19, 1, 19, 1, 19, 1, 19, 1, 19, 1, 19, 1, 20, 1, 20, 1, 20, 1, 20, 1, 20, 1, 20, 1, 20, 1, 21, 1, 21, 1, 21, 1, 21, 1, 21, 1, 21, 1, 21, 1, 21, 1, 21, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 23, 1, 23, 1, 23, 1, 23, 1, 23, 1, 23, 1, 23, 1, 23, 1, 23, 1, 24, 1, 24, 1, 24, 1, 24, 1, 24, 1, 24, 1, 24, 1, 24, 1, 25, 1, 25, 1, 25, 1, 25, 1, 25, 1, 25, 1, 25, 1, 25, 1, 26, 1, 26, 1, 26, 1, 26, 1, 26, 1, 26, 1, 26, 1, 26, 1, 26, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 29, 1, 29, 1, 29, 1, 29, 1, 29, 1, 29, 1, 29, 1, 30, 1, 30, 1, 30, 1, 30, 1, 30, 1, 30, 1, 30, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 32, 1, 32, 1, 32, 1, 32, 1, 32, 1, 32, 1, 32, 1, 32, 1, 32, 1, 32, 1, 33, 1, 33, 1, 33, 1, 33, 1, 33, 1, 33, 1, 33, 1, 33, 1, 33, 1, 34, 1, 34, 1, 34, 1, 34, 1, 34, 1, 34, 1, 35, 1, 35, 1, 35, 1, 35, 1, 35, 1, 35, 1, 35, 1, 36, 4, 36, 988, 8, 36, 11, 36, 12, 36, 989, 1, 36, 1, 36, 1, 37, 1, 37, 1, 37, 1, 37, 1, 37, 1, 38, 1, 38, 1, 38, 1, 38, 1, 38, 1, 38, 1, 39, 1, 39, 1, 39, 1, 39, 1, 40, 1, 40, 1, 40, 1, 40, 1, 41, 1, 41, 1, 41, 1, 41, 1, 42, 1, 42, 1, 42, 1, 42, 1, 43, 1, 43, 1, 43, 1, 43, 1, 44, 1, 44, 1, 44, 1, 44, 1, 45, 1, 45, 1, 45, 1, 45, 1, 46, 1, 46, 1, 46, 1, 46, 1, 47, 1, 47, 1, 47, 1, 47, 1, 48, 1, 48, 1, 48, 1, 48, 1, 49, 1, 49, 1, 49, 1, 49, 1, 50, 1, 50, 1, 50, 1, 50, 1, 50, 1, 51, 1, 51, 1, 51, 1, 51, 1, 51, 1, 51, 1, 52, 1, 52, 1, 52, 1, 52, 1, 52, 1, 53, 1, 53, 1, 53, 1, 53, 1, 53, 1, 54, 1, 54, 1, 55, 4, 55, 1073, 8, 55, 11, 55, 12, 55, 1074, 1, 55, 1, 55, 3, 55, 1079, 8, 55, 1, 55, 4, 55, 1082, 8, 55, 11, 55, 12, 55, 1083, 1, 56, 1, 56, 1, 56, 1, 56, 1, 57, 1, 57, 1, 57, 1, 57, 1, 58, 1, 58, 1, 58, 1, 58, 1, 59, 1, 59, 1, 59, 1, 59, 1, 60, 1, 60, 1, 60, 1, 60, 1, 61, 1, 61, 1, 61, 1, 61, 1, 61, 1, 61, 1, 62, 1, 62, 1, 62, 1, 62, 1, 62, 1, 62, 1, 62, 1, 63, 1, 63, 1, 63, 1, 63, 1, 64, 1, 64, 1, 64, 1, 64, 1, 65, 1, 65, 1, 65, 1, 65, 1, 66, 1, 66, 1, 66, 1, 66, 1, 67, 1, 67, 1, 67, 1, 67, 1, 68, 1, 68, 1, 68, 1, 68, 1, 69, 1, 69, 1, 69, 1, 69, 1, 70, 1, 70, 1, 70, 1, 70, 1, 71, 1, 71, 1, 71, 1, 71, 1, 72, 1, 72, 1, 72, 1, 72, 1, 73, 1, 73, 1, 73, 1, 73, 1, 74, 1, 74, 1, 74, 1, 74, 1, 75, 1, 75, 1, 75, 1, 75, 1, 76, 1, 76, 1, 76, 1, 76, 1, 77, 1, 77, 1, 77, 1, 77, 1, 78, 1, 78, 1, 78, 1, 78, 1, 78, 1, 79, 1, 79, 1, 79, 1, 79, 1, 79, 1, 80, 1, 80, 1, 80, 1, 80, 1, 81, 1, 81, 1, 81, 1, 81, 1, 82, 1, 82, 1, 82, 1, 82, 1, 83, 1, 83, 1, 83, 1, 83, 1, 84, 1, 84, 1, 85, 1, 85, 1, 86, 1, 86, 1, 86, 1, 87, 1, 87, 1, 88, 1, 88, 3, 88, 1216, 8, 88, 1, 88, 4, 88, 1219, 8, 88, 11, 88, 12, 88, 1220, 1, 89, 1, 89, 1, 90, 1, 90, 1, 91, 1, 91, 1, 91, 3, 91, 1230, 8, 91, 1, 92, 1, 92, 1, 93, 1, 93, 1, 93, 3, 93, 1237, 8, 93, 1, 94, 1, 94, 1, 94, 5, 94, 1242, 8, 94, 10, 94, 12, 94, 1245, 9, 94, 1, 94, 1, 94, 1, 94, 1, 94, 1, 94, 1, 94, 5, 94, 1253, 8, 94, 10, 94, 12, 94, 1256, 9, 94, 1, 94, 1, 94, 1, 94, 1, 94, 1, 94, 3, 94, 1263, 8, 94, 1, 94, 3, 94, 1266, 8, 94, 3, 94, 1268, 8, 94, 1, 95, 4, 95, 1271, 8, 95, 11, 95, 12, 95, 1272, 1, 96, 4, 96, 1276, 8, 96, 11, 96, 12, 96, 1277, 1, 96, 1, 96, 5, 96, 1282, 8, 96, 10, 96, 12, 96, 1285, 9, 96, 1, 96, 1, 96, 4, 96, 1289, 8, 96, 11, 96, 12, 96, 1290, 1, 96, 4, 96, 1294, 8, 96, 11, 96, 12, 96, 1295, 1, 96, 1, 96, 5, 96, 1300, 8, 96, 10, 96, 12, 96, 1303, 9, 96, 3, 96, 1305, 8, 96, 1, 96, 1, 96, 1, 96, 1, 96, 4, 96, 1311, 8, 96, 11, 96, 12, 96, 1312, 1, 96, 1, 96, 3, 96, 1317, 8, 96, 1, 97, 1, 97, 1, 97, 1, 97, 1, 98, 1, 98, 1, 98, 1, 98, 1, 99, 1, 99, 1, 100, 1, 100, 1, 100, 1, 101, 1, 101, 1, 101, 1, 102, 1, 102, 1, 103, 1, 103, 1, 104, 1, 104, 1, 105, 1, 105, 1, 105, 1, 105, 1, 105, 1, 106, 1, 106, 1, 107, 1, 107, 1, 107, 1, 107, 1, 107, 1, 107, 1, 108, 1, 108, 1, 108, 1, 108, 1, 108, 1, 108, 1, 109, 1, 109, 1, 109, 1, 110, 1, 110, 1, 110, 1, 111, 1, 111, 1, 111, 1, 111, 1, 111, 1, 112, 1, 112, 1, 112, 1, 112, 1, 112, 1, 113, 1, 113, 1, 113, 1, 113, 1, 114, 1, 114, 1, 114, 1, 114, 1, 114, 1, 115, 1, 115, 1, 115, 1, 115, 1, 115, 1, 115, 1, 116, 1, 116, 1, 116, 1, 117, 1, 117, 1, 117, 1, 118, 1, 118, 1, 119, 1, 119, 1, 119, 1, 119, 1, 119, 1, 119, 1, 120, 1, 120, 1, 120, 1, 120, 1, 120, 1, 121, 1, 121, 1, 121, 1, 121, 1, 121, 1, 122, 1, 122, 1, 122, 1, 123, 1, 123, 1, 123, 1, 124, 1, 124, 1, 124, 1, 125, 1, 125, 1, 126, 1, 126, 1, 126, 1, 127, 1, 127, 1, 128, 1, 128, 1, 128, 1, 129, 1, 129, 1, 130, 1, 130, 1, 131, 1, 131, 1, 132, 1, 132, 1, 133, 1, 133, 1, 134, 1, 134, 1, 135, 1, 135, 1, 136, 1, 136, 1, 136, 1, 137, 1, 137, 1, 137, 1, 137, 1, 138, 1, 138, 1, 138, 3, 138, 1458, 8, 138, 1, 138, 5, 138, 1461, 8, 138, 10, 138, 12, 138, 1464, 9, 138, 1, 138, 1, 138, 4, 138, 1468, 8, 138, 11, 138, 12, 138, 1469, 3, 138, 1472, 8, 138, 1, 139, 1, 139, 1, 139, 3, 139, 1477, 8, 139, 1, 139, 5, 139, 1480, 8, 139, 10, 139, 12, 139, 1483, 9, 139, 1, 139, 1, 139, 4, 139, 1487, 8, 139, 11, 139, 12, 139, 1488, 3, 139, 1491, 8, 139, 1, 140, 1, 140, 1, 140, 1, 140, 1, 140, 1, 141, 1, 141, 1, 141, 1, 141, 1, 141, 1, 142, 1, 142, 1, 142, 1, 142, 1, 142, 1, 143, 1, 143, 1, 143, 1, 143, 1, 143, 1, 144, 1, 144, 5, 144, 1515, 8, 144, 10, 144, 12, 144, 1518, 9, 144, 1, 144, 1, 144, 3, 144, 1522, 8, 144, 1, 144, 4, 144, 1525, 8, 144, 11, 144, 12, 144, 1526, 3, 144, 1529, 8, 144, 1, 145, 1, 145, 4, 145, 1533, 8, 145, 11, 145, 12, 145, 1534, 1, 145, 1, 145, 1, 146, 1, 146, 1, 147, 1, 147, 1, 147, 1, 147, 1, 148, 1, 148, 1, 148, 1, 148, 1, 149, 1, 149, 1, 149, 1, 149, 1, 150, 1, 150, 1, 150, 1, 150, 1, 150, 1, 151, 1, 151, 1, 151, 1, 151, 1, 152, 1, 152, 1, 152, 1, 152, 1, 153, 1, 153, 1, 153, 1, 153, 1, 154, 1, 154, 1, 154, 1, 154, 1, 155, 1, 155, 1, 155, 1, 155, 1, 155, 1, 155, 1, 155, 1, 155, 1, 155, 1, 156, 1, 156, 1, 156, 1, 156, 1, 156, 1, 156, 1, 157, 1, 157, 1, 157, 1, 157, 1, 157, 1, 158, 1, 158, 1, 158, 3, 158, 1597, 8, 158, 1, 159, 4, 159, 1600, 8, 159, 11, 159, 12, 159, 1601, 1, 160, 1, 160, 1, 160, 1, 160, 1, 161, 1, 161, 1, 161, 1, 161, 1, 162, 1, 162, 1, 162, 1, 162, 1, 163, 1, 163, 1, 163, 1, 163, 1, 164, 1, 164, 1, 164, 1, 164, 1, 165, 1, 165, 1, 165, 1, 165, 1, 165, 1, 166, 1, 166, 1, 166, 1, 166, 1, 166, 1, 166, 1, 167, 1, 167, 1, 167, 1, 167, 1, 167, 1, 168, 1, 168, 1, 168, 1, 168, 1, 169, 1, 169, 1, 169, 1, 169, 1, 170, 1, 170, 1, 170, 1, 170, 1, 171, 1, 171, 1, 171, 1, 171, 1, 171, 1, 172, 1, 172, 1, 172, 1, 172, 1, 172, 1, 172, 1, 173, 1, 173, 1, 173, 1, 173, 1, 173, 1, 173, 1, 174, 1, 174, 1, 174, 1, 174, 1, 174, 1, 174, 1, 175, 1, 175, 1, 175, 1, 175, 1, 176, 1, 176, 1, 176, 1, 176, 1, 176, 1, 176, 1, 177, 1, 177, 1, 177, 1, 177, 1, 178, 1, 178, 1, 178, 1, 178, 1, 179, 1, 179, 1, 179, 1, 179, 1, 180, 1, 180, 1, 180, 1, 180, 1, 181, 1, 181, 1, 181, 1, 181, 1, 182, 1, 182, 1, 182, 1, 182, 1, 183, 1, 183, 1, 183, 1, 183, 1, 184, 1, 184, 1, 184, 1, 184, 1, 185, 1, 185, 1, 185, 1, 185, 1, 186, 1, 186, 1, 186, 1, 186, 1, 187, 1, 187, 1, 187, 1, 187, 1, 188, 1, 188, 1, 188, 1, 188, 1, 189, 1, 189, 1, 189, 1, 189, 1, 189, 1, 189, 1, 189, 1, 189, 1, 189, 1, 190, 1, 190, 1, 190, 1, 190, 1, 191, 1, 191, 1, 191, 1, 191, 1, 192, 1, 192, 1, 192, 1, 192, 1, 193, 1, 193, 1, 193, 1, 193, 1, 193, 1, 194, 1, 194, 1, 194, 1, 194, 1, 194, 1, 195, 1, 195, 1, 195, 1, 195, 1, 196, 1, 196, 1, 196, 1, 196, 1, 196, 1, 196, 1, 197, 1, 197, 1, 197, 1, 197, 1, 197, 1, 197, 1, 197, 1, 197, 1, 197, 1, 198, 1, 198, 1, 198, 1, 198, 1, 199, 1, 199, 1, 199, 1, 199, 1, 200, 1, 200, 1, 200, 1, 200, 1, 201, 1, 201, 1, 201, 1, 201, 1, 202, 1, 202, 1, 202, 1, 202, 1, 203, 1, 203, 1, 203, 1, 203, 1, 204, 1, 204, 1, 204, 1, 204, 1, 204, 1, 205, 1, 205, 1, 205, 1, 205, 1, 205, 1, 205, 1, 206, 1, 206, 1, 206, 1, 206, 1, 207, 1, 207, 1, 207, 1, 207, 1, 208, 1, 208, 1, 208, 1, 208, 1, 209, 1, 209, 1, 209, 1, 209, 1, 209, 1, 210, 1, 210, 1, 210, 1, 210, 1, 211, 1, 211, 1, 211, 1, 211, 1, 212, 1, 212, 1, 212, 1, 212, 1, 213, 1, 213, 1, 213, 1, 213, 1, 214, 1, 214, 1, 214, 1, 214, 1, 215, 1, 215, 1, 215, 1, 215, 1, 215, 1, 215, 1, 216, 1, 216, 1, 216, 1, 216, 1, 216, 1, 216, 1, 216, 1, 217, 1, 217, 1, 217, 1, 217, 1, 218, 1, 218, 1, 218, 1, 218, 1, 219, 1, 219, 1, 219, 1, 219, 1, 220, 1, 220, 1, 220, 1, 220, 1, 221, 1, 221, 1, 221, 1, 221, 1, 222, 1, 222, 1, 222, 1, 222, 1, 223, 1, 223, 1, 223, 1, 223, 1, 223, 1, 224, 1, 224, 1, 224, 1, 224, 1, 224, 1, 224, 1, 225, 1, 225, 1, 225, 1, 225, 1, 226, 1, 226, 1, 226, 1, 226, 1, 227, 1, 227, 1, 227, 1, 227, 1, 228, 1, 228, 1, 228, 1, 228, 1, 229, 1, 229, 1, 229, 1, 229, 1, 230, 1, 230, 1, 230, 1, 230, 1, 231, 1, 231, 1, 231, 1, 231, 1, 232, 1, 232, 1, 232, 1, 232, 1, 233, 1, 233, 1, 233, 1, 233, 1, 234, 1, 234, 1, 234, 1, 234, 1, 235, 1, 235, 1, 235, 1, 235, 1, 236, 1, 236, 1, 236, 1, 236, 1, 237, 1, 237, 1, 237, 1, 237, 1, 237, 1, 238, 1, 238, 1, 238, 1, 238, 1, 238, 1, 238, 1, 239, 1, 239, 1, 239, 1, 239, 1, 240, 1, 240, 1, 240, 1, 240, 1, 241, 1, 241, 1, 241, 1, 241, 1, 242, 1, 242, 1, 242, 1, 242, 1, 243, 1, 243, 1, 243, 1, 243, 1, 244, 1, 244, 1, 244, 1, 244, 1, 245, 1, 245, 1, 245, 1, 245, 1, 246, 1, 246, 1, 246, 1, 246, 1, 247, 1, 247, 1, 247, 1, 247, 3, 247, 1998, 8, 247, 1, 248, 1, 248, 3, 248, 2002, 8, 248, 1, 248, 5, 248, 2005, 8, 248, 10, 248, 12, 248, 2008, 9, 248, 1, 248, 1, 248, 3, 248, 2012, 8, 248, 1, 248, 4, 248, 2015, 8, 248, 11, 248, 12, 248, 2016, 3, 248, 2019, 8, 248, 1, 249, 1, 249, 4, 249, 2023, 8, 249, 11, 249, 12, 249, 2024, 1, 250, 1, 250, 1, 250, 1, 250, 1, 251, 1, 251, 1, 251, 1, 251, 1, 252, 1, 252, 1, 252, 1, 252, 1, 253, 1, 253, 1, 253, 1, 253, 1, 254, 1, 254, 1, 254, 1, 254, 1, 255, 1, 255, 1, 255, 1, 255, 1, 256, 1, 256, 1, 256, 1, 256, 1, 257, 1, 257, 1, 257, 1, 257, 1, 258, 1, 258, 1, 258, 1, 258, 1, 259, 1, 259, 1, 259, 1, 259, 1, 260, 1, 260, 1, 260, 1, 260, 1, 261, 1, 261, 1, 261, 1, 261, 1, 262, 1, 262, 1, 262, 1, 262, 1, 262, 1, 263, 1, 263, 1, 263, 1, 263, 1, 263, 1, 264, 1, 264, 1, 264, 1, 264, 1, 264, 1, 264, 1, 265, 1, 265, 1, 265, 1, 265, 1, 265, 1, 265, 1, 265, 1, 266, 1, 266, 1, 266, 1, 266, 1, 267, 1, 267, 1, 267, 1, 267, 1, 268, 1, 268, 1, 268, 1, 268, 1, 269, 1, 269, 5, 269, 2112, 8, 269, 10, 269, 12, 269, 2115, 9, 269, 1, 269, 3, 269, 2118, 8, 269, 1, 269, 3, 269, 2121, 8, 269, 1, 270, 1, 270, 1, 270, 1, 270, 5, 270, 2127, 8, 270, 10, 270, 12, 270, 2130, 9, 270, 1, 270, 1, 270, 1, 271, 1, 271, 1, 272, 1, 272, 1, 272, 1, 272, 1, 272, 1, 273, 1, 273, 1, 273, 1, 273, 1, 273, 1, 273, 1, 274, 1, 274, 1, 274, 1, 274, 1, 275, 1, 275, 1, 275, 1, 275, 1, 276, 1, 276, 1, 276, 1, 276, 1, 277, 1, 277, 1, 277, 1, 277, 1, 278, 1, 278, 1, 278, 1, 278, 1, 279, 1, 279, 1, 279, 1, 279, 1, 280, 1, 280, 1, 280, 1, 280, 1, 281, 1, 281, 1, 281, 1, 281, 1, 282, 1, 282, 1, 282, 1, 282, 1, 283, 1, 283, 1, 283, 1, 284, 1, 284, 1, 284, 1, 284, 1, 285, 1, 285, 1, 285, 1, 285, 1, 286, 1, 286, 1, 286, 1, 286, 1, 287, 1, 287, 1, 287, 1, 287, 1, 288, 1, 288, 1, 288, 1, 288, 1, 289, 1, 289, 1, 289, 1, 289, 1, 290, 1, 290, 1, 290, 1, 290, 1, 291, 1, 291, 1, 291, 1, 291, 1, 291, 1, 292, 1, 292, 1, 292, 1, 292, 1, 293, 1, 293, 1, 293, 1, 293, 1, 294, 1, 294, 1, 294, 1, 294, 1, 295, 1, 295, 1, 295, 1, 295, 1, 296, 1, 296, 1, 296, 1, 296, 1, 297, 1, 297, 1, 297, 1, 297, 1, 298, 1, 298, 1, 298, 1, 298, 1, 299, 1, 299, 1, 299, 1, 299, 1, 300, 1, 300, 1, 300, 1, 300, 1, 301, 1, 301, 1, 301, 1, 301, 1, 302, 1, 302, 1, 302, 1, 302, 1, 303, 1, 303, 1, 303, 1, 303, 1, 304, 1, 304, 1, 304, 1, 304, 1, 305, 1, 305, 1, 305, 1, 305, 1, 306, 1, 306, 1, 306, 1, 306, 1, 307, 1, 307, 1, 307, 1, 307, 1, 308, 1, 308, 1, 308, 1, 308, 1, 309, 1, 309, 1, 309, 1, 309, 1, 310, 1, 310, 1, 310, 1, 310, 1, 311, 1, 311, 1, 311, 1, 311, 1, 312, 1, 312, 1, 312, 1, 312, 1, 313, 1, 313, 1, 313, 1, 313, 1, 313, 1, 314, 1, 314, 1, 314, 1, 314, 1, 314, 1, 315, 1, 315, 1, 315, 1, 315, 1, 316, 1, 316, 1, 316, 1, 316, 1, 317, 1, 317, 1, 317, 1, 317, 2, 679, 1254, 0, 318, 19, 1, 21, 2, 23, 3, 25, 4, 27, 5, 29, 6, 31, 7, 33, 8, 35, 9, 37, 10, 39, 11, 41, 12, 43, 13, 45, 14, 47, 15, 49, 16, 51, 17, 53, 18, 55, 19, 57, 20, 59, 21, 61, 22, 63, 23, 65, 24, 67, 25, 69, 26, 71, 27, 73, 28, 75, 29, 77, 30, 79, 31, 81, 32, 83, 33, 85, 34, 87, 35, 89, 36, 91, 37, 93, 0, 95, 0, 97, 0, 99, 0, 101, 0, 103, 0, 105, 0, 107, 0, 109, 0, 111, 0, 113, 38, 115, 39, 117, 40, 119, 0, 121, 0, 123, 0, 125, 0, 127, 0, 129, 41, 131, 0, 133, 0, 135, 42, 137, 43, 139, 44, 141, 0, 143, 0, 145, 0, 147, 0, 149, 0, 151, 0, 153, 0, 155, 0, 157, 0, 159, 0, 161, 0, 163, 0, 165, 0, 167, 0, 169, 45, 171, 46, 173, 47, 175, 0, 177, 0, 179, 48, 181, 49, 183, 50, 185, 51, 187, 0, 189, 0, 191, 0, 193, 0, 195, 0, 197, 0, 199, 0, 201, 0, 203, 0, 205, 0, 207, 52, 209, 53, 211, 54, 213, 55, 215, 56, 217, 57, 219, 58, 221, 59, 223, 60, 225, 61, 227, 62, 229, 63, 231, 64, 233, 65, 235, 66, 237, 67, 239, 68, 241, 69, 243, 70, 245, 71, 247, 72, 249, 73, 251, 74, 253, 75, 255, 76, 257, 77, 259, 78, 261, 79, 263, 80, 265, 81, 267, 82, 269, 83, 271, 84, 273, 85, 275, 86, 277, 87, 279, 88, 281, 89, 283, 90, 285, 91, 287, 92, 289, 93, 291, 94, 293, 0, 295, 95, 297, 96, 299, 97, 301, 98, 303, 99, 305, 100, 307, 101, 309, 0, 311, 102, 313, 103, 315, 104, 317, 105, 319, 0, 321, 0, 323, 0, 325, 0, 327, 0, 329, 106, 331, 0, 333, 0, 335, 0, 337, 107, 339, 0, 341, 0, 343, 108, 345, 109, 347, 110, 349, 0, 351, 0, 353, 0, 355, 111, 357, 112, 359, 113, 361, 0, 363, 0, 365, 114, 367, 115, 369, 116, 371, 0, 373, 0, 375, 0, 377, 0, 379, 0, 381, 0, 383, 0, 385, 0, 387, 0, 389, 0, 391, 117, 393, 118, 395, 119, 397, 120, 399, 121, 401, 122, 403, 123, 405, 0, 407, 124, 409, 0, 411, 0, 413, 125, 415, 0, 417, 0, 419, 0, 421, 126, 423, 127, 425, 128, 427, 0, 429, 0, 431, 0, 433, 0, 435, 0, 437, 0, 439, 0, 441, 0, 443, 129, 445, 130, 447, 131, 449, 0, 451, 0, 453, 0, 455, 0, 457, 0, 459, 132, 461, 133, 463, 134, 465, 0, 467, 0, 469, 0, 471, 0, 473, 0, 475, 0, 477, 0, 479, 0, 481, 0, 483, 0, 485, 0, 487, 135, 489, 136, 491, 137, 493, 0, 495, 0, 497, 0, 499, 0, 501, 0, 503, 0, 505, 0, 507, 0, 509, 0, 511, 0, 513, 0, 515, 0, 517, 138, 519, 139, 521, 140, 523, 141, 525, 0, 527, 0, 529, 0, 531, 0, 533, 0, 535, 0, 537, 0, 539, 0, 541, 0, 543, 0, 545, 0, 547, 0, 549, 0, 551, 142, 553, 143, 555, 144, 557, 145, 559, 146, 561, 147, 563, 0, 565, 0, 567, 0, 569, 0, 571, 0, 573, 0, 575, 0, 577, 0, 579, 0, 581, 0, 583, 0, 585, 148, 587, 0, 589, 149, 591, 150, 593, 151, 595, 0, 597, 0, 599, 0, 601, 0, 603, 0, 605, 0, 607, 0, 609, 0, 611, 0, 613, 0, 615, 0, 617, 0, 619, 0, 621, 0, 623, 0, 625, 0, 627, 0, 629, 0, 631, 0, 633, 0, 635, 0, 637, 0, 639, 152, 641, 153, 643, 154, 645, 0, 647, 155, 649, 156, 651, 157, 653, 158, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 39, 2, 0, 10, 10, 13, 13, 3, 0, 9, 10, 13, 13, 32, 32, 2, 0, 67, 67, 99, 99, 2, 0, 72, 72, 104, 104, 2, 0, 65, 65, 97, 97, 2, 0, 78, 78, 110, 110, 2, 0, 71, 71, 103, 103, 2, 0, 69, 69, 101, 101, 2, 0, 80, 80, 112, 112, 2, 0, 79, 79, 111, 111, 2, 0, 73, 73, 105, 105, 2, 0, 84, 84, 116, 116, 2, 0, 82, 82, 114, 114, 2, 0, 88, 88, 120, 120, 2, 0, 76, 76, 108, 108, 2, 0, 77, 77, 109, 109, 2, 0, 68, 68, 100, 100, 2, 0, 83, 83, 115, 115, 2, 0, 86, 86, 118, 118, 2, 0, 75, 75, 107, 107, 2, 0, 87, 87, 119, 119, 2, 0, 70, 70, 102, 102, 2, 0, 85, 85, 117, 117, 2, 0, 81, 81, 113, 113, 6, 0, 9, 10, 13, 13, 32, 32, 47, 47, 91, 91, 93, 93, 12, 0, 9, 10, 13, 13, 32, 32, 34, 35, 40, 41, 44, 44, 47, 47, 58, 58, 60, 60, 62, 63, 92, 92, 124, 124, 1, 0, 48, 57, 2, 0, 65, 90, 97, 122, 8, 0, 34, 34, 78, 78, 82, 82, 84, 84, 92, 92, 110, 110, 114, 114, 116, 116, 4, 0, 10, 10, 13, 13, 34, 34, 92, 92, 2, 0, 43, 43, 45, 45, 1, 0, 96, 96, 2, 0, 66, 66, 98, 98, 2, 0, 89, 89, 121, 121, 12, 0, 9, 10, 13, 13, 32, 32, 34, 34, 40, 41, 44, 44, 47, 47, 58, 58, 61, 61, 91, 91, 93, 93, 124, 124, 2, 0, 42, 42, 47, 47, 2, 0, 74, 74, 106, 106, 2, 0, 39, 39, 92, 92, 7, 0, 10, 10, 13, 13, 32, 32, 34, 35, 39, 41, 96, 96, 124, 124, 2352, 0, 19, 1, 0, 0, 0, 0, 21, 1, 0, 0, 0, 0, 23, 1, 0, 0, 0, 0, 25, 1, 0, 0, 0, 0, 27, 1, 0, 0, 0, 0, 29, 1, 0, 0, 0, 0, 31, 1, 0, 0, 0, 0, 33, 1, 0, 0, 0, 0, 35, 1, 0, 0, 0, 0, 37, 1, 0, 0, 0, 0, 39, 1, 0, 0, 0, 0, 41, 1, 0, 0, 0, 0, 43, 1, 0, 0, 0, 0, 45, 1, 0, 0, 0, 0, 47, 1, 0, 0, 0, 0, 49, 1, 0, 0, 0, 0, 51, 1, 0, 0, 0, 0, 53, 1, 0, 0, 0, 0, 55, 1, 0, 0, 0, 0, 57, 1, 0, 0, 0, 0, 59, 1, 0, 0, 0, 0, 61, 1, 0, 0, 0, 0, 63, 1, 0, 0, 0, 0, 65, 1, 0, 0, 0, 0, 67, 1, 0, 0, 0, 0, 69, 1, 0, 0, 0, 0, 71, 1, 0, 0, 0, 0, 73, 1, 0, 0, 0, 0, 75, 1, 0, 0, 0, 0, 77, 1, 0, 0, 0, 0, 79, 1, 0, 0, 0, 0, 81, 1, 0, 0, 0, 0, 83, 1, 0, 0, 0, 0, 85, 1, 0, 0, 0, 0, 87, 1, 0, 0, 0, 0, 89, 1, 0, 0, 0, 0, 91, 1, 0, 0, 0, 1, 93, 1, 0, 0, 0, 1, 95, 1, 0, 0, 0, 1, 97, 1, 0, 0, 0, 1, 99, 1, 0, 0, 0, 1, 101, 1, 0, 0, 0, 1, 103, 1, 0, 0, 0, 1, 105, 1, 0, 0, 0, 1, 107, 1, 0, 0, 0, 1, 109, 1, 0, 0, 0, 1, 111, 1, 0, 0, 0, 1, 113, 1, 0, 0, 0, 1, 115, 1, 0, 0, 0, 1, 117, 1, 0, 0, 0, 2, 119, 1, 0, 0, 0, 2, 121, 1, 0, 0, 0, 2, 123, 1, 0, 0, 0, 2, 125, 1, 0, 0, 0, 2, 129, 1, 0, 0, 0, 2, 131, 1, 0, 0, 0, 2, 133, 1, 0, 0, 0, 2, 135, 1, 0, 0, 0, 2, 137, 1, 0, 0, 0, 2, 139, 1, 0, 0, 0, 3, 141, 1, 0, 0, 0, 3, 143, 1, 0, 0, 0, 3, 145, 1, 0, 0, 0, 3, 147, 1, 0, 0, 0, 3, 149, 1, 0, 0, 0, 3, 151, 1, 0, 0, 0, 3, 153, 1, 0, 0, 0, 3, 155, 1, 0, 0, 0, 3, 157, 1, 0, 0, 0, 3, 159, 1, 0, 0, 0, 3, 161, 1, 0, 0, 0, 3, 163, 1, 0, 0, 0, 3, 165, 1, 0, 0, 0, 3, 167, 1, 0, 0, 0, 3, 169, 1, 0, 0, 0, 3, 171, 1, 0, 0, 0, 3, 173, 1, 0, 0, 0, 4, 175, 1, 0, 0, 0, 4, 177, 1, 0, 0, 0, 4, 179, 1, 0, 0, 0, 4, 181, 1, 0, 0, 0, 4, 183, 1, 0, 0, 0, 5, 185, 1, 0, 0, 0, 5, 207, 1, 0, 0, 0, 5, 209, 1, 0, 0, 0, 5, 211, 1, 0, 0, 0, 5, 213, 1, 0, 0, 0, 5, 215, 1, 0, 0, 0, 5, 217, 1, 0, 0, 0, 5, 219, 1, 0, 0, 0, 5, 221, 1, 0, 0, 0, 5, 223, 1, 0, 0, 0, 5, 225, 1, 0, 0, 0, 5, 227, 1, 0, 0, 0, 5, 229, 1, 0, 0, 0, 5, 231, 1, 0, 0, 0, 5, 233, 1, 0, 0, 0, 5, 235, 1, 0, 0, 0, 5, 237, 1, 0, 0, 0, 5, 239, 1, 0, 0, 0, 5, 241, 1, 0, 0, 0, 5, 243, 1, 0, 0, 0, 5, 245, 1, 0, 0, 0, 5, 247, 1, 0, 0, 0, 5, 249, 1, 0, 0, 0, 5, 251, 1, 0, 0, 0, 5, 253, 1, 0, 0, 0, 5, 255, 1, 0, 0, 0, 5, 257, 1, 0, 0, 0, 5, 259, 1, 0, 0, 0, 5, 261, 1, 0, 0, 0, 5, 263, 1, 0, 0, 0, 5, 265, 1, 0, 0, 0, 5, 267, 1, 0, 0, 0, 5, 269, 1, 0, 0, 0, 5, 271, 1, 0, 0, 0, 5, 273, 1, 0, 0, 0, 5, 275, 1, 0, 0, 0, 5, 277, 1, 0, 0, 0, 5, 279, 1, 0, 0, 0, 5, 281, 1, 0, 0, 0, 5, 283, 1, 0, 0, 0, 5, 285, 1, 0, 0, 0, 5, 287, 1, 0, 0, 0, 5, 289, 1, 0, 0, 0, 5, 291, 1, 0, 0, 0, 5, 293, 1, 0, 0, 0, 5, 295, 1, 0, 0, 0, 5, 297, 1, 0, 0, 0, 5, 299, 1, 0, 0, 0, 5, 301, 1, 0, 0, 0, 5, 303, 1, 0, 0, 0, 5, 305, 1, 0, 0, 0, 5, 307, 1, 0, 0, 0, 5, 311, 1, 0, 0, 0, 5, 313, 1, 0, 0, 0, 5, 315, 1, 0, 0, 0, 5, 317, 1, 0, 0, 0, 6, 319, 1, 0, 0, 0, 6, 321, 1, 0, 0, 0, 6, 323, 1, 0, 0, 0, 6, 325, 1, 0, 0, 0, 6, 327, 1, 0, 0, 0, 6, 329, 1, 0, 0, 0, 6, 331, 1, 0, 0, 0, 6, 333, 1, 0, 0, 0, 6, 337, 1, 0, 0, 0, 6, 339, 1, 0, 0, 0, 6, 341, 1, 0, 0, 0, 6, 343, 1, 0, 0, 0, 6, 345, 1, 0, 0, 0, 6, 347, 1, 0, 0, 0, 7, 349, 1, 0, 0, 0, 7, 351, 1, 0, 0, 0, 7, 353, 1, 0, 0, 0, 7, 355, 1, 0, 0, 0, 7, 357, 1, 0, 0, 0, 7, 359, 1, 0, 0, 0, 8, 361, 1, 0, 0, 0, 8, 363, 1, 0, 0, 0, 8, 365, 1, 0, 0, 0, 8, 367, 1, 0, 0, 0, 8, 369, 1, 0, 0, 0, 8, 371, 1, 0, 0, 0, 8, 373, 1, 0, 0, 0, 8, 375, 1, 0, 0, 0, 8, 377, 1, 0, 0, 0, 8, 379, 1, 0, 0, 0, 8, 381, 1, 0, 0, 0, 8, 383, 1, 0, 0, 0, 8, 385, 1, 0, 0, 0, 8, 387, 1, 0, 0, 0, 8, 389, 1, 0, 0, 0, 8, 391, 1, 0, 0, 0, 8, 393, 1, 0, 0, 0, 8, 395, 1, 0, 0, 0, 9, 397, 1, 0, 0, 0, 9, 399, 1, 0, 0, 0, 9, 401, 1, 0, 0, 0, 9, 403, 1, 0, 0, 0, 10, 405, 1, 0, 0, 0, 10, 407, 1, 0, 0, 0, 10, 409, 1, 0, 0, 0, 10, 411, 1, 0, 0, 0, 10, 413, 1, 0, 0, 0, 10, 415, 1, 0, 0, 0, 10, 417, 1, 0, 0, 0, 10, 419, 1, 0, 0, 0, 10, 421, 1, 0, 0, 0, 10, 423, 1, 0, 0, 0, 10, 425, 1, 0, 0, 0, 11, 427, 1, 0, 0, 0, 11, 429, 1, 0, 0, 0, 11, 431, 1, 0, 0, 0, 11, 433, 1, 0, 0, 0, 11, 435, 1, 0, 0, 0, 11, 437, 1, 0, 0, 0, 11, 439, 1, 0, 0, 0, 11, 441, 1, 0, 0, 0, 11, 443, 1, 0, 0, 0, 11, 445, 1, 0, 0, 0, 11, 447, 1, 0, 0, 0, 12, 449, 1, 0, 0, 0, 12, 451, 1, 0, 0, 0, 12, 453, 1, 0, 0, 0, 12, 455, 1, 0, 0, 0, 12, 457, 1, 0, 0, 0, 12, 459, 1, 0, 0, 0, 12, 461, 1, 0, 0, 0, 12, 463, 1, 0, 0, 0, 13, 465, 1, 0, 0, 0, 13, 467, 1, 0, 0, 0, 13, 469, 1, 0, 0, 0, 13, 471, 1, 0, 0, 0, 13, 473, 1, 0, 0, 0, 13, 475, 1, 0, 0, 0, 13, 477, 1, 0, 0, 0, 13, 479, 1, 0, 0, 0, 13, 481, 1, 0, 0, 0, 13, 483, 1, 0, 0, 0, 13, 485, 1, 0, 0, 0, 13, 487, 1, 0, 0, 0, 13, 489, 1, 0, 0, 0, 13, 491, 1, 0, 0, 0, 14, 493, 1, 0, 0, 0, 14, 495, 1, 0, 0, 0, 14, 497, 1, 0, 0, 0, 14, 499, 1, 0, 0, 0, 14, 501, 1, 0, 0, 0, 14, 503, 1, 0, 0, 0, 14, 505, 1, 0, 0, 0, 14, 507, 1, 0, 0, 0, 14, 509, 1, 0, 0, 0, 14, 511, 1, 0, 0, 0, 14, 517, 1, 0, 0, 0, 14, 519, 1, 0, 0, 0, 14, 521, 1, 0, 0, 0, 14, 523, 1, 0, 0, 0, 15, 525, 1, 0, 0, 0, 15, 527, 1, 0, 0, 0, 15, 529, 1, 0, 0, 0, 15, 531, 1, 0, 0, 0, 15, 533, 1, 0, 0, 0, 15, 535, 1, 0, 0, 0, 15, 537, 1, 0, 0, 0, 15, 539, 1, 0, 0, 0, 15, 541, 1, 0, 0, 0, 15, 543, 1, 0, 0, 0, 15, 545, 1, 0, 0, 0, 15, 547, 1, 0, 0, 0, 15, 549, 1, 0, 0, 0, 15, 551, 1, 0, 0, 0, 15, 553, 1, 0, 0, 0, 15, 555, 1, 0, 0, 0, 15, 557, 1, 0, 0, 0, 15, 559, 1, 0, 0, 0, 15, 561, 1, 0, 0, 0, 16, 563, 1, 0, 0, 0, 16, 565, 1, 0, 0, 0, 16, 567, 1, 0, 0, 0, 16, 569, 1, 0, 0, 0, 16, 571, 1, 0, 0, 0, 16, 573, 1, 0, 0, 0, 16, 575, 1, 0, 0, 0, 16, 577, 1, 0, 0, 0, 16, 579, 1, 0, 0, 0, 16, 581, 1, 0, 0, 0, 16, 583, 1, 0, 0, 0, 16, 585, 1, 0, 0, 0, 16, 587, 1, 0, 0, 0, 16, 589, 1, 0, 0, 0, 16, 591, 1, 0, 0, 0, 16, 593, 1, 0, 0, 0, 17, 595, 1, 0, 0, 0, 17, 597, 1, 0, 0, 0, 17, 599, 1, 0, 0, 0, 17, 601, 1, 0, 0, 0, 17, 603, 1, 0, 0, 0, 17, 605, 1, 0, 0, 0, 17, 607, 1, 0, 0, 0, 17, 609, 1, 0, 0, 0, 17, 611, 1, 0, 0, 0, 17, 613, 1, 0, 0, 0, 17, 615, 1, 0, 0, 0, 17, 617, 1, 0, 0, 0, 17, 619, 1, 0, 0, 0, 17, 621, 1, 0, 0, 0, 17, 623, 1, 0, 0, 0, 17, 625, 1, 0, 0, 0, 17, 627, 1, 0, 0, 0, 17, 629, 1, 0, 0, 0, 17, 631, 1, 0, 0, 0, 17, 633, 1, 0, 0, 0, 17, 635, 1, 0, 0, 0, 17, 637, 1, 0, 0, 0, 17, 639, 1, 0, 0, 0, 17, 641, 1, 0, 0, 0, 17, 643, 1, 0, 0, 0, 18, 645, 1, 0, 0, 0, 18, 647, 1, 0, 0, 0, 18, 649, 1, 0, 0, 0, 18, 651, 1, 0, 0, 0, 18, 653, 1, 0, 0, 0, 19, 655, 1, 0, 0, 0, 21, 672, 1, 0, 0, 0, 23, 688, 1, 0, 0, 0, 25, 694, 1, 0, 0, 0, 27, 709, 1, 0, 0, 0, 29, 718, 1, 0, 0, 0, 31, 729, 1, 0, 0, 0, 33, 742, 1, 0, 0, 0, 35, 752, 1, 0, 0, 0, 37, 759, 1, 0, 0, 0, 39, 766, 1, 0, 0, 0, 41, 774, 1, 0, 0, 0, 43, 783, 1, 0, 0, 0, 45, 789, 1, 0, 0, 0, 47, 798, 1, 0, 0, 0, 49, 805, 1, 0, 0, 0, 51, 813, 1, 0, 0, 0, 53, 821, 1, 0, 0, 0, 55, 828, 1, 0, 0, 0, 57, 833, 1, 0, 0, 0, 59, 840, 1, 0, 0, 0, 61, 847, 1, 0, 0, 0, 63, 856, 1, 0, 0, 0, 65, 870, 1, 0, 0, 0, 67, 879, 1, 0, 0, 0, 69, 887, 1, 0, 0, 0, 71, 895, 1, 0, 0, 0, 73, 904, 1, 0, 0, 0, 75, 916, 1, 0, 0, 0, 77, 928, 1, 0, 0, 0, 79, 935, 1, 0, 0, 0, 81, 942, 1, 0, 0, 0, 83, 954, 1, 0, 0, 0, 85, 964, 1, 0, 0, 0, 87, 973, 1, 0, 0, 0, 89, 979, 1, 0, 0, 0, 91, 987, 1, 0, 0, 0, 93, 993, 1, 0, 0, 0, 95, 998, 1, 0, 0, 0, 97, 1004, 1, 0, 0, 0, 99, 1008, 1, 0, 0, 0, 101, 1012, 1, 0, 0, 0, 103, 1016, 1, 0, 0, 0, 105, 1020, 1, 0, 0, 0, 107, 1024, 1, 0, 0, 0, 109, 1028, 1, 0, 0, 0, 111, 1032, 1, 0, 0, 0, 113, 1036, 1, 0, 0, 0, 115, 1040, 1, 0, 0, 0, 117, 1044, 1, 0, 0, 0, 119, 1048, 1, 0, 0, 0, 121, 1053, 1, 0, 0, 0, 123, 1059, 1, 0, 0, 0, 125, 1064, 1, 0, 0, 0, 127, 1069, 1, 0, 0, 0, 129, 1078, 1, 0, 0, 0, 131, 1085, 1, 0, 0, 0, 133, 1089, 1, 0, 0, 0, 135, 1093, 1, 0, 0, 0, 137, 1097, 1, 0, 0, 0, 139, 1101, 1, 0, 0, 0, 141, 1105, 1, 0, 0, 0, 143, 1111, 1, 0, 0, 0, 145, 1118, 1, 0, 0, 0, 147, 1122, 1, 0, 0, 0, 149, 1126, 1, 0, 0, 0, 151, 1130, 1, 0, 0, 0, 153, 1134, 1, 0, 0, 0, 155, 1138, 1, 0, 0, 0, 157, 1142, 1, 0, 0, 0, 159, 1146, 1, 0, 0, 0, 161, 1150, 1, 0, 0, 0, 163, 1154, 1, 0, 0, 0, 165, 1158, 1, 0, 0, 0, 167, 1162, 1, 0, 0, 0, 169, 1166, 1, 0, 0, 0, 171, 1170, 1, 0, 0, 0, 173, 1174, 1, 0, 0, 0, 175, 1178, 1, 0, 0, 0, 177, 1183, 1, 0, 0, 0, 179, 1188, 1, 0, 0, 0, 181, 1192, 1, 0, 0, 0, 183, 1196, 1, 0, 0, 0, 185, 1200, 1, 0, 0, 0, 187, 1204, 1, 0, 0, 0, 189, 1206, 1, 0, 0, 0, 191, 1208, 1, 0, 0, 0, 193, 1211, 1, 0, 0, 0, 195, 1213, 1, 0, 0, 0, 197, 1222, 1, 0, 0, 0, 199, 1224, 1, 0, 0, 0, 201, 1229, 1, 0, 0, 0, 203, 1231, 1, 0, 0, 0, 205, 1236, 1, 0, 0, 0, 207, 1267, 1, 0, 0, 0, 209, 1270, 1, 0, 0, 0, 211, 1316, 1, 0, 0, 0, 213, 1318, 1, 0, 0, 0, 215, 1322, 1, 0, 0, 0, 217, 1326, 1, 0, 0, 0, 219, 1328, 1, 0, 0, 0, 221, 1331, 1, 0, 0, 0, 223, 1334, 1, 0, 0, 0, 225, 1336, 1, 0, 0, 0, 227, 1338, 1, 0, 0, 0, 229, 1340, 1, 0, 0, 0, 231, 1345, 1, 0, 0, 0, 233, 1347, 1, 0, 0, 0, 235, 1353, 1, 0, 0, 0, 237, 1359, 1, 0, 0, 0, 239, 1362, 1, 0, 0, 0, 241, 1365, 1, 0, 0, 0, 243, 1370, 1, 0, 0, 0, 245, 1375, 1, 0, 0, 0, 247, 1379, 1, 0, 0, 0, 249, 1384, 1, 0, 0, 0, 251, 1390, 1, 0, 0, 0, 253, 1393, 1, 0, 0, 0, 255, 1396, 1, 0, 0, 0, 257, 1398, 1, 0, 0, 0, 259, 1404, 1, 0, 0, 0, 261, 1409, 1, 0, 0, 0, 263, 1414, 1, 0, 0, 0, 265, 1417, 1, 0, 0, 0, 267, 1420, 1, 0, 0, 0, 269, 1423, 1, 0, 0, 0, 271, 1425, 1, 0, 0, 0, 273, 1428, 1, 0, 0, 0, 275, 1430, 1, 0, 0, 0, 277, 1433, 1, 0, 0, 0, 279, 1435, 1, 0, 0, 0, 281, 1437, 1, 0, 0, 0, 283, 1439, 1, 0, 0, 0, 285, 1441, 1, 0, 0, 0, 287, 1443, 1, 0, 0, 0, 289, 1445, 1, 0, 0, 0, 291, 1447, 1, 0, 0, 0, 293, 1450, 1, 0, 0, 0, 295, 1471, 1, 0, 0, 0, 297, 1490, 1, 0, 0, 0, 299, 1492, 1, 0, 0, 0, 301, 1497, 1, 0, 0, 0, 303, 1502, 1, 0, 0, 0, 305, 1507, 1, 0, 0, 0, 307, 1528, 1, 0, 0, 0, 309, 1530, 1, 0, 0, 0, 311, 1538, 1, 0, 0, 0, 313, 1540, 1, 0, 0, 0, 315, 1544, 1, 0, 0, 0, 317, 1548, 1, 0, 0, 0, 319, 1552, 1, 0, 0, 0, 321, 1557, 1, 0, 0, 0, 323, 1561, 1, 0, 0, 0, 325, 1565, 1, 0, 0, 0, 327, 1569, 1, 0, 0, 0, 329, 1573, 1, 0, 0, 0, 331, 1582, 1, 0, 0, 0, 333, 1588, 1, 0, 0, 0, 335, 1596, 1, 0, 0, 0, 337, 1599, 1, 0, 0, 0, 339, 1603, 1, 0, 0, 0, 341, 1607, 1, 0, 0, 0, 343, 1611, 1, 0, 0, 0, 345, 1615, 1, 0, 0, 0, 347, 1619, 1, 0, 0, 0, 349, 1623, 1, 0, 0, 0, 351, 1628, 1, 0, 0, 0, 353, 1634, 1, 0, 0, 0, 355, 1639, 1, 0, 0, 0, 357, 1643, 1, 0, 0, 0, 359, 1647, 1, 0, 0, 0, 361, 1651, 1, 0, 0, 0, 363, 1656, 1, 0, 0, 0, 365, 1662, 1, 0, 0, 0, 367, 1668, 1, 0, 0, 0, 369, 1674, 1, 0, 0, 0, 371, 1678, 1, 0, 0, 0, 373, 1684, 1, 0, 0, 0, 375, 1688, 1, 0, 0, 0, 377, 1692, 1, 0, 0, 0, 379, 1696, 1, 0, 0, 0, 381, 1700, 1, 0, 0, 0, 383, 1704, 1, 0, 0, 0, 385, 1708, 1, 0, 0, 0, 387, 1712, 1, 0, 0, 0, 389, 1716, 1, 0, 0, 0, 391, 1720, 1, 0, 0, 0, 393, 1724, 1, 0, 0, 0, 395, 1728, 1, 0, 0, 0, 397, 1732, 1, 0, 0, 0, 399, 1741, 1, 0, 0, 0, 401, 1745, 1, 0, 0, 0, 403, 1749, 1, 0, 0, 0, 405, 1753, 1, 0, 0, 0, 407, 1758, 1, 0, 0, 0, 409, 1763, 1, 0, 0, 0, 411, 1767, 1, 0, 0, 0, 413, 1773, 1, 0, 0, 0, 415, 1782, 1, 0, 0, 0, 417, 1786, 1, 0, 0, 0, 419, 1790, 1, 0, 0, 0, 421, 1794, 1, 0, 0, 0, 423, 1798, 1, 0, 0, 0, 425, 1802, 1, 0, 0, 0, 427, 1806, 1, 0, 0, 0, 429, 1811, 1, 0, 0, 0, 431, 1817, 1, 0, 0, 0, 433, 1821, 1, 0, 0, 0, 435, 1825, 1, 0, 0, 0, 437, 1829, 1, 0, 0, 0, 439, 1834, 1, 0, 0, 0, 441, 1838, 1, 0, 0, 0, 443, 1842, 1, 0, 0, 0, 445, 1846, 1, 0, 0, 0, 447, 1850, 1, 0, 0, 0, 449, 1854, 1, 0, 0, 0, 451, 1860, 1, 0, 0, 0, 453, 1867, 1, 0, 0, 0, 455, 1871, 1, 0, 0, 0, 457, 1875, 1, 0, 0, 0, 459, 1879, 1, 0, 0, 0, 461, 1883, 1, 0, 0, 0, 463, 1887, 1, 0, 0, 0, 465, 1891, 1, 0, 0, 0, 467, 1896, 1, 0, 0, 0, 469, 1902, 1, 0, 0, 0, 471, 1906, 1, 0, 0, 0, 473, 1910, 1, 0, 0, 0, 475, 1914, 1, 0, 0, 0, 477, 1918, 1, 0, 0, 0, 479, 1922, 1, 0, 0, 0, 481, 1926, 1, 0, 0, 0, 483, 1930, 1, 0, 0, 0, 485, 1934, 1, 0, 0, 0, 487, 1938, 1, 0, 0, 0, 489, 1942, 1, 0, 0, 0, 491, 1946, 1, 0, 0, 0, 493, 1950, 1, 0, 0, 0, 495, 1955, 1, 0, 0, 0, 497, 1961, 1, 0, 0, 0, 499, 1965, 1, 0, 0, 0, 501, 1969, 1, 0, 0, 0, 503, 1973, 1, 0, 0, 0, 505, 1977, 1, 0, 0, 0, 507, 1981, 1, 0, 0, 0, 509, 1985, 1, 0, 0, 0, 511, 1989, 1, 0, 0, 0, 513, 1997, 1, 0, 0, 0, 515, 2018, 1, 0, 0, 0, 517, 2022, 1, 0, 0, 0, 519, 2026, 1, 0, 0, 0, 521, 2030, 1, 0, 0, 0, 523, 2034, 1, 0, 0, 0, 525, 2038, 1, 0, 0, 0, 527, 2042, 1, 0, 0, 0, 529, 2046, 1, 0, 0, 0, 531, 2050, 1, 0, 0, 0, 533, 2054, 1, 0, 0, 0, 535, 2058, 1, 0, 0, 0, 537, 2062, 1, 0, 0, 0, 539, 2066, 1, 0, 0, 0, 541, 2070, 1, 0, 0, 0, 543, 2074, 1, 0, 0, 0, 545, 2079, 1, 0, 0, 0, 547, 2084, 1, 0, 0, 0, 549, 2090, 1, 0, 0, 0, 551, 2097, 1, 0, 0, 0, 553, 2101, 1, 0, 0, 0, 555, 2105, 1, 0, 0, 0, 557, 2109, 1, 0, 0, 0, 559, 2122, 1, 0, 0, 0, 561, 2133, 1, 0, 0, 0, 563, 2135, 1, 0, 0, 0, 565, 2140, 1, 0, 0, 0, 567, 2146, 1, 0, 0, 0, 569, 2150, 1, 0, 0, 0, 571, 2154, 1, 0, 0, 0, 573, 2158, 1, 0, 0, 0, 575, 2162, 1, 0, 0, 0, 577, 2166, 1, 0, 0, 0, 579, 2170, 1, 0, 0, 0, 581, 2174, 1, 0, 0, 0, 583, 2178, 1, 0, 0, 0, 585, 2182, 1, 0, 0, 0, 587, 2185, 1, 0, 0, 0, 589, 2189, 1, 0, 0, 0, 591, 2193, 1, 0, 0, 0, 593, 2197, 1, 0, 0, 0, 595, 2201, 1, 0, 0, 0, 597, 2205, 1, 0, 0, 0, 599, 2209, 1, 0, 0, 0, 601, 2213, 1, 0, 0, 0, 603, 2218, 1, 0, 0, 0, 605, 2222, 1, 0, 0, 0, 607, 2226, 1, 0, 0, 0, 609, 2230, 1, 0, 0, 0, 611, 2234, 1, 0, 0, 0, 613, 2238, 1, 0, 0, 0, 615, 2242, 1, 0, 0, 0, 617, 2246, 1, 0, 0, 0, 619, 2250, 1, 0, 0, 0, 621, 2254, 1, 0, 0, 0, 623, 2258, 1, 0, 0, 0, 625, 2262, 1, 0, 0, 0, 627, 2266, 1, 0, 0, 0, 629, 2270, 1, 0, 0, 0, 631, 2274, 1, 0, 0, 0, 633, 2278, 1, 0, 0, 0, 635, 2282, 1, 0, 0, 0, 637, 2286, 1, 0, 0, 0, 639, 2290, 1, 0, 0, 0, 641, 2294, 1, 0, 0, 0, 643, 2298, 1, 0, 0, 0, 645, 2302, 1, 0, 0, 0, 647, 2307, 1, 0, 0, 0, 649, 2312, 1, 0, 0, 0, 651, 2316, 1, 0, 0, 0, 653, 2320, 1, 0, 0, 0, 655, 656, 5, 47, 0, 0, 656, 657, 5, 47, 0, 0, 657, 661, 1, 0, 0, 0, 658, 660, 8, 0, 0, 0, 659, 658, 1, 0, 0, 0, 660, 663, 1, 0, 0, 0, 661, 659, 1, 0, 0, 0, 661, 662, 1, 0, 0, 0, 662, 665, 1, 0, 0, 0, 663, 661, 1, 0, 0, 0, 664, 666, 5, 13, 0, 0, 665, 664, 1, 0, 0, 0, 665, 666, 1, 0, 0, 0, 666, 668, 1, 0, 0, 0, 667, 669, 5, 10, 0, 0, 668, 667, 1, 0, 0, 0, 668, 669, 1, 0, 0, 0, 669, 670, 1, 0, 0, 0, 670, 671, 6, 0, 0, 0, 671, 20, 1, 0, 0, 0, 672, 673, 5, 47, 0, 0, 673, 674, 5, 42, 0, 0, 674, 679, 1, 0, 0, 0, 675, 678, 3, 21, 1, 0, 676, 678, 9, 0, 0, 0, 677, 675, 1, 0, 0, 0, 677, 676, 1, 0, 0, 0, 678, 681, 1, 0, 0, 0, 679, 680, 1, 0, 0, 0, 679, 677, 1, 0, 0, 0, 680, 682, 1, 0, 0, 0, 681, 679, 1, 0, 0, 0, 682, 683, 5, 42, 0, 0, 683, 684, 5, 47, 0, 0, 684, 685, 1, 0, 0, 0, 685, 686, 6, 1, 0, 0, 686, 22, 1, 0, 0, 0, 687, 689, 7, 1, 0, 0, 688, 687, 1, 0, 0, 0, 689, 690, 1, 0, 0, 0, 690, 688, 1, 0, 0, 0, 690, 691, 1, 0, 0, 0, 691, 692, 1, 0, 0, 0, 692, 693, 6, 2, 0, 0, 693, 24, 1, 0, 0, 0, 694, 695, 7, 2, 0, 0, 695, 696, 7, 3, 0, 0, 696, 697, 7, 4, 0, 0, 697, 698, 7, 5, 0, 0, 698, 699, 7, 6, 0, 0, 699, 700, 7, 7, 0, 0, 700, 701, 5, 95, 0, 0, 701, 702, 7, 8, 0, 0, 702, 703, 7, 9, 0, 0, 703, 704, 7, 10, 0, 0, 704, 705, 7, 5, 0, 0, 705, 706, 7, 11, 0, 0, 706, 707, 1, 0, 0, 0, 707, 708, 6, 3, 1, 0, 708, 26, 1, 0, 0, 0, 709, 710, 7, 7, 0, 0, 710, 711, 7, 5, 0, 0, 711, 712, 7, 12, 0, 0, 712, 713, 7, 10, 0, 0, 713, 714, 7, 2, 0, 0, 714, 715, 7, 3, 0, 0, 715, 716, 1, 0, 0, 0, 716, 717, 6, 4, 2, 0, 717, 28, 1, 0, 0, 0, 718, 719, 4, 5, 0, 0, 719, 720, 7, 7, 0, 0, 720, 721, 7, 13, 0, 0, 721, 722, 7, 8, 0, 0, 722, 723, 7, 14, 0, 0, 723, 724, 7, 4, 0, 0, 724, 725, 7, 10, 0, 0, 725, 726, 7, 5, 0, 0, 726, 727, 1, 0, 0, 0, 727, 728, 6, 5, 3, 0, 728, 30, 1, 0, 0, 0, 729, 730, 7, 2, 0, 0, 730, 731, 7, 9, 0, 0, 731, 732, 7, 15, 0, 0, 732, 733, 7, 8, 0, 0, 733, 734, 7, 14, 0, 0, 734, 735, 7, 7, 0, 0, 735, 736, 7, 11, 0, 0, 736, 737, 7, 10, 0, 0, 737, 738, 7, 9, 0, 0, 738, 739, 7, 5, 0, 0, 739, 740, 1, 0, 0, 0, 740, 741, 6, 6, 4, 0, 741, 32, 1, 0, 0, 0, 742, 743, 7, 16, 0, 0, 743, 744, 7, 10, 0, 0, 744, 745, 7, 17, 0, 0, 745, 746, 7, 17, 0, 0, 746, 747, 7, 7, 0, 0, 747, 748, 7, 2, 0, 0, 748, 749, 7, 11, 0, 0, 749, 750, 1, 0, 0, 0, 750, 751, 6, 7, 4, 0, 751, 34, 1, 0, 0, 0, 752, 753, 7, 7, 0, 0, 753, 754, 7, 18, 0, 0, 754, 755, 7, 4, 0, 0, 755, 756, 7, 14, 0, 0, 756, 757, 1, 0, 0, 0, 757, 758, 6, 8, 4, 0, 758, 36, 1, 0, 0, 0, 759, 760, 7, 6, 0, 0, 760, 761, 7, 12, 0, 0, 761, 762, 7, 9, 0, 0, 762, 763, 7, 19, 0, 0, 763, 764, 1, 0, 0, 0, 764, 765, 6, 9, 4, 0, 765, 38, 1, 0, 0, 0, 766, 767, 7, 14, 0, 0, 767, 768, 7, 10, 0, 0, 768, 769, 7, 15, 0, 0, 769, 770, 7, 10, 0, 0, 770, 771, 7, 11, 0, 0, 771, 772, 1, 0, 0, 0, 772, 773, 6, 10, 4, 0, 773, 40, 1, 0, 0, 0, 774, 775, 7, 12, 0, 0, 775, 776, 7, 7, 0, 0, 776, 777, 7, 12, 0, 0, 777, 778, 7, 4, 0, 0, 778, 779, 7, 5, 0, 0, 779, 780, 7, 19, 0, 0, 780, 781, 1, 0, 0, 0, 781, 782, 6, 11, 4, 0, 782, 42, 1, 0, 0, 0, 783, 784, 7, 12, 0, 0, 784, 785, 7, 9, 0, 0, 785, 786, 7, 20, 0, 0, 786, 787, 1, 0, 0, 0, 787, 788, 6, 12, 4, 0, 788, 44, 1, 0, 0, 0, 789, 790, 7, 17, 0, 0, 790, 791, 7, 4, 0, 0, 791, 792, 7, 15, 0, 0, 792, 793, 7, 8, 0, 0, 793, 794, 7, 14, 0, 0, 794, 795, 7, 7, 0, 0, 795, 796, 1, 0, 0, 0, 796, 797, 6, 13, 4, 0, 797, 46, 1, 0, 0, 0, 798, 799, 7, 17, 0, 0, 799, 800, 7, 9, 0, 0, 800, 801, 7, 12, 0, 0, 801, 802, 7, 11, 0, 0, 802, 803, 1, 0, 0, 0, 803, 804, 6, 14, 4, 0, 804, 48, 1, 0, 0, 0, 805, 806, 7, 17, 0, 0, 806, 807, 7, 11, 0, 0, 807, 808, 7, 4, 0, 0, 808, 809, 7, 11, 0, 0, 809, 810, 7, 17, 0, 0, 810, 811, 1, 0, 0, 0, 811, 812, 6, 15, 4, 0, 812, 50, 1, 0, 0, 0, 813, 814, 7, 20, 0, 0, 814, 815, 7, 3, 0, 0, 815, 816, 7, 7, 0, 0, 816, 817, 7, 12, 0, 0, 817, 818, 7, 7, 0, 0, 818, 819, 1, 0, 0, 0, 819, 820, 6, 16, 4, 0, 820, 52, 1, 0, 0, 0, 821, 822, 7, 21, 0, 0, 822, 823, 7, 12, 0, 0, 823, 824, 7, 9, 0, 0, 824, 825, 7, 15, 0, 0, 825, 826, 1, 0, 0, 0, 826, 827, 6, 17, 5, 0, 827, 54, 1, 0, 0, 0, 828, 829, 7, 11, 0, 0, 829, 830, 7, 17, 0, 0, 830, 831, 1, 0, 0, 0, 831, 832, 6, 18, 5, 0, 832, 56, 1, 0, 0, 0, 833, 834, 7, 21, 0, 0, 834, 835, 7, 9, 0, 0, 835, 836, 7, 12, 0, 0, 836, 837, 7, 19, 0, 0, 837, 838, 1, 0, 0, 0, 838, 839, 6, 19, 6, 0, 839, 58, 1, 0, 0, 0, 840, 841, 7, 21, 0, 0, 841, 842, 7, 22, 0, 0, 842, 843, 7, 17, 0, 0, 843, 844, 7, 7, 0, 0, 844, 845, 1, 0, 0, 0, 845, 846, 6, 20, 7, 0, 846, 60, 1, 0, 0, 0, 847, 848, 7, 10, 0, 0, 848, 849, 7, 5, 0, 0, 849, 850, 7, 14, 0, 0, 850, 851, 7, 10, 0, 0, 851, 852, 7, 5, 0, 0, 852, 853, 7, 7, 0, 0, 853, 854, 1, 0, 0, 0, 854, 855, 6, 21, 8, 0, 855, 62, 1, 0, 0, 0, 856, 857, 7, 10, 0, 0, 857, 858, 7, 5, 0, 0, 858, 859, 7, 14, 0, 0, 859, 860, 7, 10, 0, 0, 860, 861, 7, 5, 0, 0, 861, 862, 7, 7, 0, 0, 862, 863, 7, 17, 0, 0, 863, 864, 7, 11, 0, 0, 864, 865, 7, 4, 0, 0, 865, 866, 7, 11, 0, 0, 866, 867, 7, 17, 0, 0, 867, 868, 1, 0, 0, 0, 868, 869, 6, 22, 4, 0, 869, 64, 1, 0, 0, 0, 870, 871, 7, 14, 0, 0, 871, 872, 7, 9, 0, 0, 872, 873, 7, 9, 0, 0, 873, 874, 7, 19, 0, 0, 874, 875, 7, 22, 0, 0, 875, 876, 7, 8, 0, 0, 876, 877, 1, 0, 0, 0, 877, 878, 6, 23, 9, 0, 878, 66, 1, 0, 0, 0, 879, 880, 4, 24, 1, 0, 880, 881, 7, 21, 0, 0, 881, 882, 7, 22, 0, 0, 882, 883, 7, 14, 0, 0, 883, 884, 7, 14, 0, 0, 884, 885, 1, 0, 0, 0, 885, 886, 6, 24, 9, 0, 886, 68, 1, 0, 0, 0, 887, 888, 4, 25, 2, 0, 888, 889, 7, 14, 0, 0, 889, 890, 7, 7, 0, 0, 890, 891, 7, 21, 0, 0, 891, 892, 7, 11, 0, 0, 892, 893, 1, 0, 0, 0, 893, 894, 6, 25, 9, 0, 894, 70, 1, 0, 0, 0, 895, 896, 4, 26, 3, 0, 896, 897, 7, 12, 0, 0, 897, 898, 7, 10, 0, 0, 898, 899, 7, 6, 0, 0, 899, 900, 7, 3, 0, 0, 900, 901, 7, 11, 0, 0, 901, 902, 1, 0, 0, 0, 902, 903, 6, 26, 9, 0, 903, 72, 1, 0, 0, 0, 904, 905, 4, 27, 4, 0, 905, 906, 7, 14, 0, 0, 906, 907, 7, 9, 0, 0, 907, 908, 7, 9, 0, 0, 908, 909, 7, 19, 0, 0, 909, 910, 7, 22, 0, 0, 910, 911, 7, 8, 0, 0, 911, 912, 5, 95, 0, 0, 912, 913, 5, 128020, 0, 0, 913, 914, 1, 0, 0, 0, 914, 915, 6, 27, 10, 0, 915, 74, 1, 0, 0, 0, 916, 917, 7, 15, 0, 0, 917, 918, 7, 18, 0, 0, 918, 919, 5, 95, 0, 0, 919, 920, 7, 7, 0, 0, 920, 921, 7, 13, 0, 0, 921, 922, 7, 8, 0, 0, 922, 923, 7, 4, 0, 0, 923, 924, 7, 5, 0, 0, 924, 925, 7, 16, 0, 0, 925, 926, 1, 0, 0, 0, 926, 927, 6, 28, 11, 0, 927, 76, 1, 0, 0, 0, 928, 929, 7, 16, 0, 0, 929, 930, 7, 12, 0, 0, 930, 931, 7, 9, 0, 0, 931, 932, 7, 8, 0, 0, 932, 933, 1, 0, 0, 0, 933, 934, 6, 29, 12, 0, 934, 78, 1, 0, 0, 0, 935, 936, 7, 19, 0, 0, 936, 937, 7, 7, 0, 0, 937, 938, 7, 7, 0, 0, 938, 939, 7, 8, 0, 0, 939, 940, 1, 0, 0, 0, 940, 941, 6, 30, 12, 0, 941, 80, 1, 0, 0, 0, 942, 943, 4, 31, 5, 0, 943, 944, 7, 10, 0, 0, 944, 945, 7, 5, 0, 0, 945, 946, 7, 17, 0, 0, 946, 947, 7, 10, 0, 0, 947, 948, 7, 17, 0, 0, 948, 949, 7, 11, 0, 0, 949, 950, 5, 95, 0, 0, 950, 951, 5, 128020, 0, 0, 951, 952, 1, 0, 0, 0, 952, 953, 6, 31, 12, 0, 953, 82, 1, 0, 0, 0, 954, 955, 4, 32, 6, 0, 955, 956, 7, 8, 0, 0, 956, 957, 7, 12, 0, 0, 957, 958, 7, 9, 0, 0, 958, 959, 7, 15, 0, 0, 959, 960, 7, 23, 0, 0, 960, 961, 7, 14, 0, 0, 961, 962, 1, 0, 0, 0, 962, 963, 6, 32, 13, 0, 963, 84, 1, 0, 0, 0, 964, 965, 7, 12, 0, 0, 965, 966, 7, 7, 0, 0, 966, 967, 7, 5, 0, 0, 967, 968, 7, 4, 0, 0, 968, 969, 7, 15, 0, 0, 969, 970, 7, 7, 0, 0, 970, 971, 1, 0, 0, 0, 971, 972, 6, 33, 14, 0, 972, 86, 1, 0, 0, 0, 973, 974, 7, 17, 0, 0, 974, 975, 7, 7, 0, 0, 975, 976, 7, 11, 0, 0, 976, 977, 1, 0, 0, 0, 977, 978, 6, 34, 15, 0, 978, 88, 1, 0, 0, 0, 979, 980, 7, 17, 0, 0, 980, 981, 7, 3, 0, 0, 981, 982, 7, 9, 0, 0, 982, 983, 7, 20, 0, 0, 983, 984, 1, 0, 0, 0, 984, 985, 6, 35, 16, 0, 985, 90, 1, 0, 0, 0, 986, 988, 8, 24, 0, 0, 987, 986, 1, 0, 0, 0, 988, 989, 1, 0, 0, 0, 989, 987, 1, 0, 0, 0, 989, 990, 1, 0, 0, 0, 990, 991, 1, 0, 0, 0, 991, 992, 6, 36, 4, 0, 992, 92, 1, 0, 0, 0, 993, 994, 3, 185, 83, 0, 994, 995, 1, 0, 0, 0, 995, 996, 6, 37, 17, 0, 996, 997, 6, 37, 18, 0, 997, 94, 1, 0, 0, 0, 998, 999, 3, 305, 143, 0, 999, 1000, 1, 0, 0, 0, 1000, 1001, 6, 38, 19, 0, 1001, 1002, 6, 38, 18, 0, 1002, 1003, 6, 38, 18, 0, 1003, 96, 1, 0, 0, 0, 1004, 1005, 3, 251, 116, 0, 1005, 1006, 1, 0, 0, 0, 1006, 1007, 6, 39, 20, 0, 1007, 98, 1, 0, 0, 0, 1008, 1009, 3, 585, 283, 0, 1009, 1010, 1, 0, 0, 0, 1010, 1011, 6, 40, 21, 0, 1011, 100, 1, 0, 0, 0, 1012, 1013, 3, 231, 106, 0, 1013, 1014, 1, 0, 0, 0, 1014, 1015, 6, 41, 22, 0, 1015, 102, 1, 0, 0, 0, 1016, 1017, 3, 227, 104, 0, 1017, 1018, 1, 0, 0, 0, 1018, 1019, 6, 42, 23, 0, 1019, 104, 1, 0, 0, 0, 1020, 1021, 3, 299, 140, 0, 1021, 1022, 1, 0, 0, 0, 1022, 1023, 6, 43, 24, 0, 1023, 106, 1, 0, 0, 0, 1024, 1025, 3, 301, 141, 0, 1025, 1026, 1, 0, 0, 0, 1026, 1027, 6, 44, 25, 0, 1027, 108, 1, 0, 0, 0, 1028, 1029, 3, 311, 146, 0, 1029, 1030, 1, 0, 0, 0, 1030, 1031, 6, 45, 26, 0, 1031, 110, 1, 0, 0, 0, 1032, 1033, 3, 307, 144, 0, 1033, 1034, 1, 0, 0, 0, 1034, 1035, 6, 46, 27, 0, 1035, 112, 1, 0, 0, 0, 1036, 1037, 3, 19, 0, 0, 1037, 1038, 1, 0, 0, 0, 1038, 1039, 6, 47, 0, 0, 1039, 114, 1, 0, 0, 0, 1040, 1041, 3, 21, 1, 0, 1041, 1042, 1, 0, 0, 0, 1042, 1043, 6, 48, 0, 0, 1043, 116, 1, 0, 0, 0, 1044, 1045, 3, 23, 2, 0, 1045, 1046, 1, 0, 0, 0, 1046, 1047, 6, 49, 0, 0, 1047, 118, 1, 0, 0, 0, 1048, 1049, 3, 185, 83, 0, 1049, 1050, 1, 0, 0, 0, 1050, 1051, 6, 50, 17, 0, 1051, 1052, 6, 50, 18, 0, 1052, 120, 1, 0, 0, 0, 1053, 1054, 3, 305, 143, 0, 1054, 1055, 1, 0, 0, 0, 1055, 1056, 6, 51, 19, 0, 1056, 1057, 6, 51, 18, 0, 1057, 1058, 6, 51, 18, 0, 1058, 122, 1, 0, 0, 0, 1059, 1060, 3, 251, 116, 0, 1060, 1061, 1, 0, 0, 0, 1061, 1062, 6, 52, 20, 0, 1062, 1063, 6, 52, 28, 0, 1063, 124, 1, 0, 0, 0, 1064, 1065, 3, 261, 121, 0, 1065, 1066, 1, 0, 0, 0, 1066, 1067, 6, 53, 29, 0, 1067, 1068, 6, 53, 28, 0, 1068, 126, 1, 0, 0, 0, 1069, 1070, 8, 25, 0, 0, 1070, 128, 1, 0, 0, 0, 1071, 1073, 3, 127, 54, 0, 1072, 1071, 1, 0, 0, 0, 1073, 1074, 1, 0, 0, 0, 1074, 1072, 1, 0, 0, 0, 1074, 1075, 1, 0, 0, 0, 1075, 1076, 1, 0, 0, 0, 1076, 1077, 3, 223, 102, 0, 1077, 1079, 1, 0, 0, 0, 1078, 1072, 1, 0, 0, 0, 1078, 1079, 1, 0, 0, 0, 1079, 1081, 1, 0, 0, 0, 1080, 1082, 3, 127, 54, 0, 1081, 1080, 1, 0, 0, 0, 1082, 1083, 1, 0, 0, 0, 1083, 1081, 1, 0, 0, 0, 1083, 1084, 1, 0, 0, 0, 1084, 130, 1, 0, 0, 0, 1085, 1086, 3, 129, 55, 0, 1086, 1087, 1, 0, 0, 0, 1087, 1088, 6, 56, 30, 0, 1088, 132, 1, 0, 0, 0, 1089, 1090, 3, 207, 94, 0, 1090, 1091, 1, 0, 0, 0, 1091, 1092, 6, 57, 31, 0, 1092, 134, 1, 0, 0, 0, 1093, 1094, 3, 19, 0, 0, 1094, 1095, 1, 0, 0, 0, 1095, 1096, 6, 58, 0, 0, 1096, 136, 1, 0, 0, 0, 1097, 1098, 3, 21, 1, 0, 1098, 1099, 1, 0, 0, 0, 1099, 1100, 6, 59, 0, 0, 1100, 138, 1, 0, 0, 0, 1101, 1102, 3, 23, 2, 0, 1102, 1103, 1, 0, 0, 0, 1103, 1104, 6, 60, 0, 0, 1104, 140, 1, 0, 0, 0, 1105, 1106, 3, 185, 83, 0, 1106, 1107, 1, 0, 0, 0, 1107, 1108, 6, 61, 17, 0, 1108, 1109, 6, 61, 18, 0, 1109, 1110, 6, 61, 18, 0, 1110, 142, 1, 0, 0, 0, 1111, 1112, 3, 305, 143, 0, 1112, 1113, 1, 0, 0, 0, 1113, 1114, 6, 62, 19, 0, 1114, 1115, 6, 62, 18, 0, 1115, 1116, 6, 62, 18, 0, 1116, 1117, 6, 62, 18, 0, 1117, 144, 1, 0, 0, 0, 1118, 1119, 3, 299, 140, 0, 1119, 1120, 1, 0, 0, 0, 1120, 1121, 6, 63, 24, 0, 1121, 146, 1, 0, 0, 0, 1122, 1123, 3, 301, 141, 0, 1123, 1124, 1, 0, 0, 0, 1124, 1125, 6, 64, 25, 0, 1125, 148, 1, 0, 0, 0, 1126, 1127, 3, 217, 99, 0, 1127, 1128, 1, 0, 0, 0, 1128, 1129, 6, 65, 32, 0, 1129, 150, 1, 0, 0, 0, 1130, 1131, 3, 227, 104, 0, 1131, 1132, 1, 0, 0, 0, 1132, 1133, 6, 66, 23, 0, 1133, 152, 1, 0, 0, 0, 1134, 1135, 3, 231, 106, 0, 1135, 1136, 1, 0, 0, 0, 1136, 1137, 6, 67, 22, 0, 1137, 154, 1, 0, 0, 0, 1138, 1139, 3, 261, 121, 0, 1139, 1140, 1, 0, 0, 0, 1140, 1141, 6, 68, 29, 0, 1141, 156, 1, 0, 0, 0, 1142, 1143, 3, 517, 249, 0, 1143, 1144, 1, 0, 0, 0, 1144, 1145, 6, 69, 33, 0, 1145, 158, 1, 0, 0, 0, 1146, 1147, 3, 311, 146, 0, 1147, 1148, 1, 0, 0, 0, 1148, 1149, 6, 70, 26, 0, 1149, 160, 1, 0, 0, 0, 1150, 1151, 3, 255, 118, 0, 1151, 1152, 1, 0, 0, 0, 1152, 1153, 6, 71, 34, 0, 1153, 162, 1, 0, 0, 0, 1154, 1155, 3, 295, 138, 0, 1155, 1156, 1, 0, 0, 0, 1156, 1157, 6, 72, 35, 0, 1157, 164, 1, 0, 0, 0, 1158, 1159, 3, 291, 136, 0, 1159, 1160, 1, 0, 0, 0, 1160, 1161, 6, 73, 36, 0, 1161, 166, 1, 0, 0, 0, 1162, 1163, 3, 297, 139, 0, 1163, 1164, 1, 0, 0, 0, 1164, 1165, 6, 74, 37, 0, 1165, 168, 1, 0, 0, 0, 1166, 1167, 3, 19, 0, 0, 1167, 1168, 1, 0, 0, 0, 1168, 1169, 6, 75, 0, 0, 1169, 170, 1, 0, 0, 0, 1170, 1171, 3, 21, 1, 0, 1171, 1172, 1, 0, 0, 0, 1172, 1173, 6, 76, 0, 0, 1173, 172, 1, 0, 0, 0, 1174, 1175, 3, 23, 2, 0, 1175, 1176, 1, 0, 0, 0, 1176, 1177, 6, 77, 0, 0, 1177, 174, 1, 0, 0, 0, 1178, 1179, 3, 303, 142, 0, 1179, 1180, 1, 0, 0, 0, 1180, 1181, 6, 78, 38, 0, 1181, 1182, 6, 78, 39, 0, 1182, 176, 1, 0, 0, 0, 1183, 1184, 3, 185, 83, 0, 1184, 1185, 1, 0, 0, 0, 1185, 1186, 6, 79, 17, 0, 1186, 1187, 6, 79, 18, 0, 1187, 178, 1, 0, 0, 0, 1188, 1189, 3, 23, 2, 0, 1189, 1190, 1, 0, 0, 0, 1190, 1191, 6, 80, 0, 0, 1191, 180, 1, 0, 0, 0, 1192, 1193, 3, 19, 0, 0, 1193, 1194, 1, 0, 0, 0, 1194, 1195, 6, 81, 0, 0, 1195, 182, 1, 0, 0, 0, 1196, 1197, 3, 21, 1, 0, 1197, 1198, 1, 0, 0, 0, 1198, 1199, 6, 82, 0, 0, 1199, 184, 1, 0, 0, 0, 1200, 1201, 5, 124, 0, 0, 1201, 1202, 1, 0, 0, 0, 1202, 1203, 6, 83, 18, 0, 1203, 186, 1, 0, 0, 0, 1204, 1205, 7, 26, 0, 0, 1205, 188, 1, 0, 0, 0, 1206, 1207, 7, 27, 0, 0, 1207, 190, 1, 0, 0, 0, 1208, 1209, 5, 92, 0, 0, 1209, 1210, 7, 28, 0, 0, 1210, 192, 1, 0, 0, 0, 1211, 1212, 8, 29, 0, 0, 1212, 194, 1, 0, 0, 0, 1213, 1215, 7, 7, 0, 0, 1214, 1216, 7, 30, 0, 0, 1215, 1214, 1, 0, 0, 0, 1215, 1216, 1, 0, 0, 0, 1216, 1218, 1, 0, 0, 0, 1217, 1219, 3, 187, 84, 0, 1218, 1217, 1, 0, 0, 0, 1219, 1220, 1, 0, 0, 0, 1220, 1218, 1, 0, 0, 0, 1220, 1221, 1, 0, 0, 0, 1221, 196, 1, 0, 0, 0, 1222, 1223, 5, 64, 0, 0, 1223, 198, 1, 0, 0, 0, 1224, 1225, 5, 96, 0, 0, 1225, 200, 1, 0, 0, 0, 1226, 1230, 8, 31, 0, 0, 1227, 1228, 5, 96, 0, 0, 1228, 1230, 5, 96, 0, 0, 1229, 1226, 1, 0, 0, 0, 1229, 1227, 1, 0, 0, 0, 1230, 202, 1, 0, 0, 0, 1231, 1232, 5, 95, 0, 0, 1232, 204, 1, 0, 0, 0, 1233, 1237, 3, 189, 85, 0, 1234, 1237, 3, 187, 84, 0, 1235, 1237, 3, 203, 92, 0, 1236, 1233, 1, 0, 0, 0, 1236, 1234, 1, 0, 0, 0, 1236, 1235, 1, 0, 0, 0, 1237, 206, 1, 0, 0, 0, 1238, 1243, 5, 34, 0, 0, 1239, 1242, 3, 191, 86, 0, 1240, 1242, 3, 193, 87, 0, 1241, 1239, 1, 0, 0, 0, 1241, 1240, 1, 0, 0, 0, 1242, 1245, 1, 0, 0, 0, 1243, 1241, 1, 0, 0, 0, 1243, 1244, 1, 0, 0, 0, 1244, 1246, 1, 0, 0, 0, 1245, 1243, 1, 0, 0, 0, 1246, 1268, 5, 34, 0, 0, 1247, 1248, 5, 34, 0, 0, 1248, 1249, 5, 34, 0, 0, 1249, 1250, 5, 34, 0, 0, 1250, 1254, 1, 0, 0, 0, 1251, 1253, 8, 0, 0, 0, 1252, 1251, 1, 0, 0, 0, 1253, 1256, 1, 0, 0, 0, 1254, 1255, 1, 0, 0, 0, 1254, 1252, 1, 0, 0, 0, 1255, 1257, 1, 0, 0, 0, 1256, 1254, 1, 0, 0, 0, 1257, 1258, 5, 34, 0, 0, 1258, 1259, 5, 34, 0, 0, 1259, 1260, 5, 34, 0, 0, 1260, 1262, 1, 0, 0, 0, 1261, 1263, 5, 34, 0, 0, 1262, 1261, 1, 0, 0, 0, 1262, 1263, 1, 0, 0, 0, 1263, 1265, 1, 0, 0, 0, 1264, 1266, 5, 34, 0, 0, 1265, 1264, 1, 0, 0, 0, 1265, 1266, 1, 0, 0, 0, 1266, 1268, 1, 0, 0, 0, 1267, 1238, 1, 0, 0, 0, 1267, 1247, 1, 0, 0, 0, 1268, 208, 1, 0, 0, 0, 1269, 1271, 3, 187, 84, 0, 1270, 1269, 1, 0, 0, 0, 1271, 1272, 1, 0, 0, 0, 1272, 1270, 1, 0, 0, 0, 1272, 1273, 1, 0, 0, 0, 1273, 210, 1, 0, 0, 0, 1274, 1276, 3, 187, 84, 0, 1275, 1274, 1, 0, 0, 0, 1276, 1277, 1, 0, 0, 0, 1277, 1275, 1, 0, 0, 0, 1277, 1278, 1, 0, 0, 0, 1278, 1279, 1, 0, 0, 0, 1279, 1283, 3, 231, 106, 0, 1280, 1282, 3, 187, 84, 0, 1281, 1280, 1, 0, 0, 0, 1282, 1285, 1, 0, 0, 0, 1283, 1281, 1, 0, 0, 0, 1283, 1284, 1, 0, 0, 0, 1284, 1317, 1, 0, 0, 0, 1285, 1283, 1, 0, 0, 0, 1286, 1288, 3, 231, 106, 0, 1287, 1289, 3, 187, 84, 0, 1288, 1287, 1, 0, 0, 0, 1289, 1290, 1, 0, 0, 0, 1290, 1288, 1, 0, 0, 0, 1290, 1291, 1, 0, 0, 0, 1291, 1317, 1, 0, 0, 0, 1292, 1294, 3, 187, 84, 0, 1293, 1292, 1, 0, 0, 0, 1294, 1295, 1, 0, 0, 0, 1295, 1293, 1, 0, 0, 0, 1295, 1296, 1, 0, 0, 0, 1296, 1304, 1, 0, 0, 0, 1297, 1301, 3, 231, 106, 0, 1298, 1300, 3, 187, 84, 0, 1299, 1298, 1, 0, 0, 0, 1300, 1303, 1, 0, 0, 0, 1301, 1299, 1, 0, 0, 0, 1301, 1302, 1, 0, 0, 0, 1302, 1305, 1, 0, 0, 0, 1303, 1301, 1, 0, 0, 0, 1304, 1297, 1, 0, 0, 0, 1304, 1305, 1, 0, 0, 0, 1305, 1306, 1, 0, 0, 0, 1306, 1307, 3, 195, 88, 0, 1307, 1317, 1, 0, 0, 0, 1308, 1310, 3, 231, 106, 0, 1309, 1311, 3, 187, 84, 0, 1310, 1309, 1, 0, 0, 0, 1311, 1312, 1, 0, 0, 0, 1312, 1310, 1, 0, 0, 0, 1312, 1313, 1, 0, 0, 0, 1313, 1314, 1, 0, 0, 0, 1314, 1315, 3, 195, 88, 0, 1315, 1317, 1, 0, 0, 0, 1316, 1275, 1, 0, 0, 0, 1316, 1286, 1, 0, 0, 0, 1316, 1293, 1, 0, 0, 0, 1316, 1308, 1, 0, 0, 0, 1317, 212, 1, 0, 0, 0, 1318, 1319, 7, 4, 0, 0, 1319, 1320, 7, 5, 0, 0, 1320, 1321, 7, 16, 0, 0, 1321, 214, 1, 0, 0, 0, 1322, 1323, 7, 4, 0, 0, 1323, 1324, 7, 17, 0, 0, 1324, 1325, 7, 2, 0, 0, 1325, 216, 1, 0, 0, 0, 1326, 1327, 5, 61, 0, 0, 1327, 218, 1, 0, 0, 0, 1328, 1329, 7, 32, 0, 0, 1329, 1330, 7, 33, 0, 0, 1330, 220, 1, 0, 0, 0, 1331, 1332, 5, 58, 0, 0, 1332, 1333, 5, 58, 0, 0, 1333, 222, 1, 0, 0, 0, 1334, 1335, 5, 58, 0, 0, 1335, 224, 1, 0, 0, 0, 1336, 1337, 5, 59, 0, 0, 1337, 226, 1, 0, 0, 0, 1338, 1339, 5, 44, 0, 0, 1339, 228, 1, 0, 0, 0, 1340, 1341, 7, 16, 0, 0, 1341, 1342, 7, 7, 0, 0, 1342, 1343, 7, 17, 0, 0, 1343, 1344, 7, 2, 0, 0, 1344, 230, 1, 0, 0, 0, 1345, 1346, 5, 46, 0, 0, 1346, 232, 1, 0, 0, 0, 1347, 1348, 7, 21, 0, 0, 1348, 1349, 7, 4, 0, 0, 1349, 1350, 7, 14, 0, 0, 1350, 1351, 7, 17, 0, 0, 1351, 1352, 7, 7, 0, 0, 1352, 234, 1, 0, 0, 0, 1353, 1354, 7, 21, 0, 0, 1354, 1355, 7, 10, 0, 0, 1355, 1356, 7, 12, 0, 0, 1356, 1357, 7, 17, 0, 0, 1357, 1358, 7, 11, 0, 0, 1358, 236, 1, 0, 0, 0, 1359, 1360, 7, 10, 0, 0, 1360, 1361, 7, 5, 0, 0, 1361, 238, 1, 0, 0, 0, 1362, 1363, 7, 10, 0, 0, 1363, 1364, 7, 17, 0, 0, 1364, 240, 1, 0, 0, 0, 1365, 1366, 7, 14, 0, 0, 1366, 1367, 7, 4, 0, 0, 1367, 1368, 7, 17, 0, 0, 1368, 1369, 7, 11, 0, 0, 1369, 242, 1, 0, 0, 0, 1370, 1371, 7, 14, 0, 0, 1371, 1372, 7, 10, 0, 0, 1372, 1373, 7, 19, 0, 0, 1373, 1374, 7, 7, 0, 0, 1374, 244, 1, 0, 0, 0, 1375, 1376, 7, 5, 0, 0, 1376, 1377, 7, 9, 0, 0, 1377, 1378, 7, 11, 0, 0, 1378, 246, 1, 0, 0, 0, 1379, 1380, 7, 5, 0, 0, 1380, 1381, 7, 22, 0, 0, 1381, 1382, 7, 14, 0, 0, 1382, 1383, 7, 14, 0, 0, 1383, 248, 1, 0, 0, 0, 1384, 1385, 7, 5, 0, 0, 1385, 1386, 7, 22, 0, 0, 1386, 1387, 7, 14, 0, 0, 1387, 1388, 7, 14, 0, 0, 1388, 1389, 7, 17, 0, 0, 1389, 250, 1, 0, 0, 0, 1390, 1391, 7, 9, 0, 0, 1391, 1392, 7, 5, 0, 0, 1392, 252, 1, 0, 0, 0, 1393, 1394, 7, 9, 0, 0, 1394, 1395, 7, 12, 0, 0, 1395, 254, 1, 0, 0, 0, 1396, 1397, 5, 63, 0, 0, 1397, 256, 1, 0, 0, 0, 1398, 1399, 7, 12, 0, 0, 1399, 1400, 7, 14, 0, 0, 1400, 1401, 7, 10, 0, 0, 1401, 1402, 7, 19, 0, 0, 1402, 1403, 7, 7, 0, 0, 1403, 258, 1, 0, 0, 0, 1404, 1405, 7, 11, 0, 0, 1405, 1406, 7, 12, 0, 0, 1406, 1407, 7, 22, 0, 0, 1407, 1408, 7, 7, 0, 0, 1408, 260, 1, 0, 0, 0, 1409, 1410, 7, 20, 0, 0, 1410, 1411, 7, 10, 0, 0, 1411, 1412, 7, 11, 0, 0, 1412, 1413, 7, 3, 0, 0, 1413, 262, 1, 0, 0, 0, 1414, 1415, 5, 61, 0, 0, 1415, 1416, 5, 61, 0, 0, 1416, 264, 1, 0, 0, 0, 1417, 1418, 5, 61, 0, 0, 1418, 1419, 5, 126, 0, 0, 1419, 266, 1, 0, 0, 0, 1420, 1421, 5, 33, 0, 0, 1421, 1422, 5, 61, 0, 0, 1422, 268, 1, 0, 0, 0, 1423, 1424, 5, 60, 0, 0, 1424, 270, 1, 0, 0, 0, 1425, 1426, 5, 60, 0, 0, 1426, 1427, 5, 61, 0, 0, 1427, 272, 1, 0, 0, 0, 1428, 1429, 5, 62, 0, 0, 1429, 274, 1, 0, 0, 0, 1430, 1431, 5, 62, 0, 0, 1431, 1432, 5, 61, 0, 0, 1432, 276, 1, 0, 0, 0, 1433, 1434, 5, 43, 0, 0, 1434, 278, 1, 0, 0, 0, 1435, 1436, 5, 45, 0, 0, 1436, 280, 1, 0, 0, 0, 1437, 1438, 5, 42, 0, 0, 1438, 282, 1, 0, 0, 0, 1439, 1440, 5, 47, 0, 0, 1440, 284, 1, 0, 0, 0, 1441, 1442, 5, 37, 0, 0, 1442, 286, 1, 0, 0, 0, 1443, 1444, 5, 123, 0, 0, 1444, 288, 1, 0, 0, 0, 1445, 1446, 5, 125, 0, 0, 1446, 290, 1, 0, 0, 0, 1447, 1448, 5, 63, 0, 0, 1448, 1449, 5, 63, 0, 0, 1449, 292, 1, 0, 0, 0, 1450, 1451, 3, 51, 16, 0, 1451, 1452, 1, 0, 0, 0, 1452, 1453, 6, 137, 40, 0, 1453, 294, 1, 0, 0, 0, 1454, 1457, 3, 255, 118, 0, 1455, 1458, 3, 189, 85, 0, 1456, 1458, 3, 203, 92, 0, 1457, 1455, 1, 0, 0, 0, 1457, 1456, 1, 0, 0, 0, 1458, 1462, 1, 0, 0, 0, 1459, 1461, 3, 205, 93, 0, 1460, 1459, 1, 0, 0, 0, 1461, 1464, 1, 0, 0, 0, 1462, 1460, 1, 0, 0, 0, 1462, 1463, 1, 0, 0, 0, 1463, 1472, 1, 0, 0, 0, 1464, 1462, 1, 0, 0, 0, 1465, 1467, 3, 255, 118, 0, 1466, 1468, 3, 187, 84, 0, 1467, 1466, 1, 0, 0, 0, 1468, 1469, 1, 0, 0, 0, 1469, 1467, 1, 0, 0, 0, 1469, 1470, 1, 0, 0, 0, 1470, 1472, 1, 0, 0, 0, 1471, 1454, 1, 0, 0, 0, 1471, 1465, 1, 0, 0, 0, 1472, 296, 1, 0, 0, 0, 1473, 1476, 3, 291, 136, 0, 1474, 1477, 3, 189, 85, 0, 1475, 1477, 3, 203, 92, 0, 1476, 1474, 1, 0, 0, 0, 1476, 1475, 1, 0, 0, 0, 1477, 1481, 1, 0, 0, 0, 1478, 1480, 3, 205, 93, 0, 1479, 1478, 1, 0, 0, 0, 1480, 1483, 1, 0, 0, 0, 1481, 1479, 1, 0, 0, 0, 1481, 1482, 1, 0, 0, 0, 1482, 1491, 1, 0, 0, 0, 1483, 1481, 1, 0, 0, 0, 1484, 1486, 3, 291, 136, 0, 1485, 1487, 3, 187, 84, 0, 1486, 1485, 1, 0, 0, 0, 1487, 1488, 1, 0, 0, 0, 1488, 1486, 1, 0, 0, 0, 1488, 1489, 1, 0, 0, 0, 1489, 1491, 1, 0, 0, 0, 1490, 1473, 1, 0, 0, 0, 1490, 1484, 1, 0, 0, 0, 1491, 298, 1, 0, 0, 0, 1492, 1493, 5, 91, 0, 0, 1493, 1494, 1, 0, 0, 0, 1494, 1495, 6, 140, 4, 0, 1495, 1496, 6, 140, 4, 0, 1496, 300, 1, 0, 0, 0, 1497, 1498, 5, 93, 0, 0, 1498, 1499, 1, 0, 0, 0, 1499, 1500, 6, 141, 18, 0, 1500, 1501, 6, 141, 18, 0, 1501, 302, 1, 0, 0, 0, 1502, 1503, 5, 40, 0, 0, 1503, 1504, 1, 0, 0, 0, 1504, 1505, 6, 142, 4, 0, 1505, 1506, 6, 142, 4, 0, 1506, 304, 1, 0, 0, 0, 1507, 1508, 5, 41, 0, 0, 1508, 1509, 1, 0, 0, 0, 1509, 1510, 6, 143, 18, 0, 1510, 1511, 6, 143, 18, 0, 1511, 306, 1, 0, 0, 0, 1512, 1516, 3, 189, 85, 0, 1513, 1515, 3, 205, 93, 0, 1514, 1513, 1, 0, 0, 0, 1515, 1518, 1, 0, 0, 0, 1516, 1514, 1, 0, 0, 0, 1516, 1517, 1, 0, 0, 0, 1517, 1529, 1, 0, 0, 0, 1518, 1516, 1, 0, 0, 0, 1519, 1522, 3, 203, 92, 0, 1520, 1522, 3, 197, 89, 0, 1521, 1519, 1, 0, 0, 0, 1521, 1520, 1, 0, 0, 0, 1522, 1524, 1, 0, 0, 0, 1523, 1525, 3, 205, 93, 0, 1524, 1523, 1, 0, 0, 0, 1525, 1526, 1, 0, 0, 0, 1526, 1524, 1, 0, 0, 0, 1526, 1527, 1, 0, 0, 0, 1527, 1529, 1, 0, 0, 0, 1528, 1512, 1, 0, 0, 0, 1528, 1521, 1, 0, 0, 0, 1529, 308, 1, 0, 0, 0, 1530, 1532, 3, 199, 90, 0, 1531, 1533, 3, 201, 91, 0, 1532, 1531, 1, 0, 0, 0, 1533, 1534, 1, 0, 0, 0, 1534, 1532, 1, 0, 0, 0, 1534, 1535, 1, 0, 0, 0, 1535, 1536, 1, 0, 0, 0, 1536, 1537, 3, 199, 90, 0, 1537, 310, 1, 0, 0, 0, 1538, 1539, 3, 309, 145, 0, 1539, 312, 1, 0, 0, 0, 1540, 1541, 3, 19, 0, 0, 1541, 1542, 1, 0, 0, 0, 1542, 1543, 6, 147, 0, 0, 1543, 314, 1, 0, 0, 0, 1544, 1545, 3, 21, 1, 0, 1545, 1546, 1, 0, 0, 0, 1546, 1547, 6, 148, 0, 0, 1547, 316, 1, 0, 0, 0, 1548, 1549, 3, 23, 2, 0, 1549, 1550, 1, 0, 0, 0, 1550, 1551, 6, 149, 0, 0, 1551, 318, 1, 0, 0, 0, 1552, 1553, 3, 185, 83, 0, 1553, 1554, 1, 0, 0, 0, 1554, 1555, 6, 150, 17, 0, 1555, 1556, 6, 150, 18, 0, 1556, 320, 1, 0, 0, 0, 1557, 1558, 3, 223, 102, 0, 1558, 1559, 1, 0, 0, 0, 1559, 1560, 6, 151, 41, 0, 1560, 322, 1, 0, 0, 0, 1561, 1562, 3, 221, 101, 0, 1562, 1563, 1, 0, 0, 0, 1563, 1564, 6, 152, 42, 0, 1564, 324, 1, 0, 0, 0, 1565, 1566, 3, 227, 104, 0, 1566, 1567, 1, 0, 0, 0, 1567, 1568, 6, 153, 23, 0, 1568, 326, 1, 0, 0, 0, 1569, 1570, 3, 217, 99, 0, 1570, 1571, 1, 0, 0, 0, 1571, 1572, 6, 154, 32, 0, 1572, 328, 1, 0, 0, 0, 1573, 1574, 7, 15, 0, 0, 1574, 1575, 7, 7, 0, 0, 1575, 1576, 7, 11, 0, 0, 1576, 1577, 7, 4, 0, 0, 1577, 1578, 7, 16, 0, 0, 1578, 1579, 7, 4, 0, 0, 1579, 1580, 7, 11, 0, 0, 1580, 1581, 7, 4, 0, 0, 1581, 330, 1, 0, 0, 0, 1582, 1583, 3, 305, 143, 0, 1583, 1584, 1, 0, 0, 0, 1584, 1585, 6, 156, 19, 0, 1585, 1586, 6, 156, 18, 0, 1586, 1587, 6, 156, 18, 0, 1587, 332, 1, 0, 0, 0, 1588, 1589, 3, 303, 142, 0, 1589, 1590, 1, 0, 0, 0, 1590, 1591, 6, 157, 38, 0, 1591, 1592, 6, 157, 39, 0, 1592, 334, 1, 0, 0, 0, 1593, 1597, 8, 34, 0, 0, 1594, 1595, 5, 47, 0, 0, 1595, 1597, 8, 35, 0, 0, 1596, 1593, 1, 0, 0, 0, 1596, 1594, 1, 0, 0, 0, 1597, 336, 1, 0, 0, 0, 1598, 1600, 3, 335, 158, 0, 1599, 1598, 1, 0, 0, 0, 1600, 1601, 1, 0, 0, 0, 1601, 1599, 1, 0, 0, 0, 1601, 1602, 1, 0, 0, 0, 1602, 338, 1, 0, 0, 0, 1603, 1604, 3, 337, 159, 0, 1604, 1605, 1, 0, 0, 0, 1605, 1606, 6, 160, 43, 0, 1606, 340, 1, 0, 0, 0, 1607, 1608, 3, 207, 94, 0, 1608, 1609, 1, 0, 0, 0, 1609, 1610, 6, 161, 31, 0, 1610, 342, 1, 0, 0, 0, 1611, 1612, 3, 19, 0, 0, 1612, 1613, 1, 0, 0, 0, 1613, 1614, 6, 162, 0, 0, 1614, 344, 1, 0, 0, 0, 1615, 1616, 3, 21, 1, 0, 1616, 1617, 1, 0, 0, 0, 1617, 1618, 6, 163, 0, 0, 1618, 346, 1, 0, 0, 0, 1619, 1620, 3, 23, 2, 0, 1620, 1621, 1, 0, 0, 0, 1621, 1622, 6, 164, 0, 0, 1622, 348, 1, 0, 0, 0, 1623, 1624, 3, 303, 142, 0, 1624, 1625, 1, 0, 0, 0, 1625, 1626, 6, 165, 38, 0, 1626, 1627, 6, 165, 39, 0, 1627, 350, 1, 0, 0, 0, 1628, 1629, 3, 305, 143, 0, 1629, 1630, 1, 0, 0, 0, 1630, 1631, 6, 166, 19, 0, 1631, 1632, 6, 166, 18, 0, 1632, 1633, 6, 166, 18, 0, 1633, 352, 1, 0, 0, 0, 1634, 1635, 3, 185, 83, 0, 1635, 1636, 1, 0, 0, 0, 1636, 1637, 6, 167, 17, 0, 1637, 1638, 6, 167, 18, 0, 1638, 354, 1, 0, 0, 0, 1639, 1640, 3, 23, 2, 0, 1640, 1641, 1, 0, 0, 0, 1641, 1642, 6, 168, 0, 0, 1642, 356, 1, 0, 0, 0, 1643, 1644, 3, 19, 0, 0, 1644, 1645, 1, 0, 0, 0, 1645, 1646, 6, 169, 0, 0, 1646, 358, 1, 0, 0, 0, 1647, 1648, 3, 21, 1, 0, 1648, 1649, 1, 0, 0, 0, 1649, 1650, 6, 170, 0, 0, 1650, 360, 1, 0, 0, 0, 1651, 1652, 3, 185, 83, 0, 1652, 1653, 1, 0, 0, 0, 1653, 1654, 6, 171, 17, 0, 1654, 1655, 6, 171, 18, 0, 1655, 362, 1, 0, 0, 0, 1656, 1657, 3, 305, 143, 0, 1657, 1658, 1, 0, 0, 0, 1658, 1659, 6, 172, 19, 0, 1659, 1660, 6, 172, 18, 0, 1660, 1661, 6, 172, 18, 0, 1661, 364, 1, 0, 0, 0, 1662, 1663, 7, 6, 0, 0, 1663, 1664, 7, 12, 0, 0, 1664, 1665, 7, 9, 0, 0, 1665, 1666, 7, 22, 0, 0, 1666, 1667, 7, 8, 0, 0, 1667, 366, 1, 0, 0, 0, 1668, 1669, 7, 17, 0, 0, 1669, 1670, 7, 2, 0, 0, 1670, 1671, 7, 9, 0, 0, 1671, 1672, 7, 12, 0, 0, 1672, 1673, 7, 7, 0, 0, 1673, 368, 1, 0, 0, 0, 1674, 1675, 7, 19, 0, 0, 1675, 1676, 7, 7, 0, 0, 1676, 1677, 7, 33, 0, 0, 1677, 370, 1, 0, 0, 0, 1678, 1679, 3, 261, 121, 0, 1679, 1680, 1, 0, 0, 0, 1680, 1681, 6, 176, 29, 0, 1681, 1682, 6, 176, 18, 0, 1682, 1683, 6, 176, 4, 0, 1683, 372, 1, 0, 0, 0, 1684, 1685, 3, 227, 104, 0, 1685, 1686, 1, 0, 0, 0, 1686, 1687, 6, 177, 23, 0, 1687, 374, 1, 0, 0, 0, 1688, 1689, 3, 231, 106, 0, 1689, 1690, 1, 0, 0, 0, 1690, 1691, 6, 178, 22, 0, 1691, 376, 1, 0, 0, 0, 1692, 1693, 3, 255, 118, 0, 1693, 1694, 1, 0, 0, 0, 1694, 1695, 6, 179, 34, 0, 1695, 378, 1, 0, 0, 0, 1696, 1697, 3, 295, 138, 0, 1697, 1698, 1, 0, 0, 0, 1698, 1699, 6, 180, 35, 0, 1699, 380, 1, 0, 0, 0, 1700, 1701, 3, 291, 136, 0, 1701, 1702, 1, 0, 0, 0, 1702, 1703, 6, 181, 36, 0, 1703, 382, 1, 0, 0, 0, 1704, 1705, 3, 297, 139, 0, 1705, 1706, 1, 0, 0, 0, 1706, 1707, 6, 182, 37, 0, 1707, 384, 1, 0, 0, 0, 1708, 1709, 3, 219, 100, 0, 1709, 1710, 1, 0, 0, 0, 1710, 1711, 6, 183, 44, 0, 1711, 386, 1, 0, 0, 0, 1712, 1713, 3, 311, 146, 0, 1713, 1714, 1, 0, 0, 0, 1714, 1715, 6, 184, 26, 0, 1715, 388, 1, 0, 0, 0, 1716, 1717, 3, 307, 144, 0, 1717, 1718, 1, 0, 0, 0, 1718, 1719, 6, 185, 27, 0, 1719, 390, 1, 0, 0, 0, 1720, 1721, 3, 19, 0, 0, 1721, 1722, 1, 0, 0, 0, 1722, 1723, 6, 186, 0, 0, 1723, 392, 1, 0, 0, 0, 1724, 1725, 3, 21, 1, 0, 1725, 1726, 1, 0, 0, 0, 1726, 1727, 6, 187, 0, 0, 1727, 394, 1, 0, 0, 0, 1728, 1729, 3, 23, 2, 0, 1729, 1730, 1, 0, 0, 0, 1730, 1731, 6, 188, 0, 0, 1731, 396, 1, 0, 0, 0, 1732, 1733, 7, 17, 0, 0, 1733, 1734, 7, 11, 0, 0, 1734, 1735, 7, 4, 0, 0, 1735, 1736, 7, 11, 0, 0, 1736, 1737, 7, 17, 0, 0, 1737, 1738, 1, 0, 0, 0, 1738, 1739, 6, 189, 18, 0, 1739, 1740, 6, 189, 4, 0, 1740, 398, 1, 0, 0, 0, 1741, 1742, 3, 19, 0, 0, 1742, 1743, 1, 0, 0, 0, 1743, 1744, 6, 190, 0, 0, 1744, 400, 1, 0, 0, 0, 1745, 1746, 3, 21, 1, 0, 1746, 1747, 1, 0, 0, 0, 1747, 1748, 6, 191, 0, 0, 1748, 402, 1, 0, 0, 0, 1749, 1750, 3, 23, 2, 0, 1750, 1751, 1, 0, 0, 0, 1751, 1752, 6, 192, 0, 0, 1752, 404, 1, 0, 0, 0, 1753, 1754, 3, 185, 83, 0, 1754, 1755, 1, 0, 0, 0, 1755, 1756, 6, 193, 17, 0, 1756, 1757, 6, 193, 18, 0, 1757, 406, 1, 0, 0, 0, 1758, 1759, 7, 36, 0, 0, 1759, 1760, 7, 9, 0, 0, 1760, 1761, 7, 10, 0, 0, 1761, 1762, 7, 5, 0, 0, 1762, 408, 1, 0, 0, 0, 1763, 1764, 3, 585, 283, 0, 1764, 1765, 1, 0, 0, 0, 1765, 1766, 6, 195, 21, 0, 1766, 410, 1, 0, 0, 0, 1767, 1768, 3, 251, 116, 0, 1768, 1769, 1, 0, 0, 0, 1769, 1770, 6, 196, 20, 0, 1770, 1771, 6, 196, 18, 0, 1771, 1772, 6, 196, 4, 0, 1772, 412, 1, 0, 0, 0, 1773, 1774, 7, 22, 0, 0, 1774, 1775, 7, 17, 0, 0, 1775, 1776, 7, 10, 0, 0, 1776, 1777, 7, 5, 0, 0, 1777, 1778, 7, 6, 0, 0, 1778, 1779, 1, 0, 0, 0, 1779, 1780, 6, 197, 18, 0, 1780, 1781, 6, 197, 4, 0, 1781, 414, 1, 0, 0, 0, 1782, 1783, 3, 337, 159, 0, 1783, 1784, 1, 0, 0, 0, 1784, 1785, 6, 198, 43, 0, 1785, 416, 1, 0, 0, 0, 1786, 1787, 3, 207, 94, 0, 1787, 1788, 1, 0, 0, 0, 1788, 1789, 6, 199, 31, 0, 1789, 418, 1, 0, 0, 0, 1790, 1791, 3, 223, 102, 0, 1791, 1792, 1, 0, 0, 0, 1792, 1793, 6, 200, 41, 0, 1793, 420, 1, 0, 0, 0, 1794, 1795, 3, 19, 0, 0, 1795, 1796, 1, 0, 0, 0, 1796, 1797, 6, 201, 0, 0, 1797, 422, 1, 0, 0, 0, 1798, 1799, 3, 21, 1, 0, 1799, 1800, 1, 0, 0, 0, 1800, 1801, 6, 202, 0, 0, 1801, 424, 1, 0, 0, 0, 1802, 1803, 3, 23, 2, 0, 1803, 1804, 1, 0, 0, 0, 1804, 1805, 6, 203, 0, 0, 1805, 426, 1, 0, 0, 0, 1806, 1807, 3, 185, 83, 0, 1807, 1808, 1, 0, 0, 0, 1808, 1809, 6, 204, 17, 0, 1809, 1810, 6, 204, 18, 0, 1810, 428, 1, 0, 0, 0, 1811, 1812, 3, 305, 143, 0, 1812, 1813, 1, 0, 0, 0, 1813, 1814, 6, 205, 19, 0, 1814, 1815, 6, 205, 18, 0, 1815, 1816, 6, 205, 18, 0, 1816, 430, 1, 0, 0, 0, 1817, 1818, 3, 223, 102, 0, 1818, 1819, 1, 0, 0, 0, 1819, 1820, 6, 206, 41, 0, 1820, 432, 1, 0, 0, 0, 1821, 1822, 3, 227, 104, 0, 1822, 1823, 1, 0, 0, 0, 1823, 1824, 6, 207, 23, 0, 1824, 434, 1, 0, 0, 0, 1825, 1826, 3, 231, 106, 0, 1826, 1827, 1, 0, 0, 0, 1827, 1828, 6, 208, 22, 0, 1828, 436, 1, 0, 0, 0, 1829, 1830, 3, 251, 116, 0, 1830, 1831, 1, 0, 0, 0, 1831, 1832, 6, 209, 20, 0, 1832, 1833, 6, 209, 45, 0, 1833, 438, 1, 0, 0, 0, 1834, 1835, 3, 337, 159, 0, 1835, 1836, 1, 0, 0, 0, 1836, 1837, 6, 210, 43, 0, 1837, 440, 1, 0, 0, 0, 1838, 1839, 3, 207, 94, 0, 1839, 1840, 1, 0, 0, 0, 1840, 1841, 6, 211, 31, 0, 1841, 442, 1, 0, 0, 0, 1842, 1843, 3, 19, 0, 0, 1843, 1844, 1, 0, 0, 0, 1844, 1845, 6, 212, 0, 0, 1845, 444, 1, 0, 0, 0, 1846, 1847, 3, 21, 1, 0, 1847, 1848, 1, 0, 0, 0, 1848, 1849, 6, 213, 0, 0, 1849, 446, 1, 0, 0, 0, 1850, 1851, 3, 23, 2, 0, 1851, 1852, 1, 0, 0, 0, 1852, 1853, 6, 214, 0, 0, 1853, 448, 1, 0, 0, 0, 1854, 1855, 3, 185, 83, 0, 1855, 1856, 1, 0, 0, 0, 1856, 1857, 6, 215, 17, 0, 1857, 1858, 6, 215, 18, 0, 1858, 1859, 6, 215, 18, 0, 1859, 450, 1, 0, 0, 0, 1860, 1861, 3, 305, 143, 0, 1861, 1862, 1, 0, 0, 0, 1862, 1863, 6, 216, 19, 0, 1863, 1864, 6, 216, 18, 0, 1864, 1865, 6, 216, 18, 0, 1865, 1866, 6, 216, 18, 0, 1866, 452, 1, 0, 0, 0, 1867, 1868, 3, 227, 104, 0, 1868, 1869, 1, 0, 0, 0, 1869, 1870, 6, 217, 23, 0, 1870, 454, 1, 0, 0, 0, 1871, 1872, 3, 231, 106, 0, 1872, 1873, 1, 0, 0, 0, 1873, 1874, 6, 218, 22, 0, 1874, 456, 1, 0, 0, 0, 1875, 1876, 3, 517, 249, 0, 1876, 1877, 1, 0, 0, 0, 1877, 1878, 6, 219, 33, 0, 1878, 458, 1, 0, 0, 0, 1879, 1880, 3, 19, 0, 0, 1880, 1881, 1, 0, 0, 0, 1881, 1882, 6, 220, 0, 0, 1882, 460, 1, 0, 0, 0, 1883, 1884, 3, 21, 1, 0, 1884, 1885, 1, 0, 0, 0, 1885, 1886, 6, 221, 0, 0, 1886, 462, 1, 0, 0, 0, 1887, 1888, 3, 23, 2, 0, 1888, 1889, 1, 0, 0, 0, 1889, 1890, 6, 222, 0, 0, 1890, 464, 1, 0, 0, 0, 1891, 1892, 3, 185, 83, 0, 1892, 1893, 1, 0, 0, 0, 1893, 1894, 6, 223, 17, 0, 1894, 1895, 6, 223, 18, 0, 1895, 466, 1, 0, 0, 0, 1896, 1897, 3, 305, 143, 0, 1897, 1898, 1, 0, 0, 0, 1898, 1899, 6, 224, 19, 0, 1899, 1900, 6, 224, 18, 0, 1900, 1901, 6, 224, 18, 0, 1901, 468, 1, 0, 0, 0, 1902, 1903, 3, 299, 140, 0, 1903, 1904, 1, 0, 0, 0, 1904, 1905, 6, 225, 24, 0, 1905, 470, 1, 0, 0, 0, 1906, 1907, 3, 301, 141, 0, 1907, 1908, 1, 0, 0, 0, 1908, 1909, 6, 226, 25, 0, 1909, 472, 1, 0, 0, 0, 1910, 1911, 3, 231, 106, 0, 1911, 1912, 1, 0, 0, 0, 1912, 1913, 6, 227, 22, 0, 1913, 474, 1, 0, 0, 0, 1914, 1915, 3, 255, 118, 0, 1915, 1916, 1, 0, 0, 0, 1916, 1917, 6, 228, 34, 0, 1917, 476, 1, 0, 0, 0, 1918, 1919, 3, 295, 138, 0, 1919, 1920, 1, 0, 0, 0, 1920, 1921, 6, 229, 35, 0, 1921, 478, 1, 0, 0, 0, 1922, 1923, 3, 291, 136, 0, 1923, 1924, 1, 0, 0, 0, 1924, 1925, 6, 230, 36, 0, 1925, 480, 1, 0, 0, 0, 1926, 1927, 3, 297, 139, 0, 1927, 1928, 1, 0, 0, 0, 1928, 1929, 6, 231, 37, 0, 1929, 482, 1, 0, 0, 0, 1930, 1931, 3, 311, 146, 0, 1931, 1932, 1, 0, 0, 0, 1932, 1933, 6, 232, 26, 0, 1933, 484, 1, 0, 0, 0, 1934, 1935, 3, 307, 144, 0, 1935, 1936, 1, 0, 0, 0, 1936, 1937, 6, 233, 27, 0, 1937, 486, 1, 0, 0, 0, 1938, 1939, 3, 19, 0, 0, 1939, 1940, 1, 0, 0, 0, 1940, 1941, 6, 234, 0, 0, 1941, 488, 1, 0, 0, 0, 1942, 1943, 3, 21, 1, 0, 1943, 1944, 1, 0, 0, 0, 1944, 1945, 6, 235, 0, 0, 1945, 490, 1, 0, 0, 0, 1946, 1947, 3, 23, 2, 0, 1947, 1948, 1, 0, 0, 0, 1948, 1949, 6, 236, 0, 0, 1949, 492, 1, 0, 0, 0, 1950, 1951, 3, 185, 83, 0, 1951, 1952, 1, 0, 0, 0, 1952, 1953, 6, 237, 17, 0, 1953, 1954, 6, 237, 18, 0, 1954, 494, 1, 0, 0, 0, 1955, 1956, 3, 305, 143, 0, 1956, 1957, 1, 0, 0, 0, 1957, 1958, 6, 238, 19, 0, 1958, 1959, 6, 238, 18, 0, 1959, 1960, 6, 238, 18, 0, 1960, 496, 1, 0, 0, 0, 1961, 1962, 3, 231, 106, 0, 1962, 1963, 1, 0, 0, 0, 1963, 1964, 6, 239, 22, 0, 1964, 498, 1, 0, 0, 0, 1965, 1966, 3, 299, 140, 0, 1966, 1967, 1, 0, 0, 0, 1967, 1968, 6, 240, 24, 0, 1968, 500, 1, 0, 0, 0, 1969, 1970, 3, 301, 141, 0, 1970, 1971, 1, 0, 0, 0, 1971, 1972, 6, 241, 25, 0, 1972, 502, 1, 0, 0, 0, 1973, 1974, 3, 227, 104, 0, 1974, 1975, 1, 0, 0, 0, 1975, 1976, 6, 242, 23, 0, 1976, 504, 1, 0, 0, 0, 1977, 1978, 3, 255, 118, 0, 1978, 1979, 1, 0, 0, 0, 1979, 1980, 6, 243, 34, 0, 1980, 506, 1, 0, 0, 0, 1981, 1982, 3, 295, 138, 0, 1982, 1983, 1, 0, 0, 0, 1983, 1984, 6, 244, 35, 0, 1984, 508, 1, 0, 0, 0, 1985, 1986, 3, 291, 136, 0, 1986, 1987, 1, 0, 0, 0, 1987, 1988, 6, 245, 36, 0, 1988, 510, 1, 0, 0, 0, 1989, 1990, 3, 297, 139, 0, 1990, 1991, 1, 0, 0, 0, 1991, 1992, 6, 246, 37, 0, 1992, 512, 1, 0, 0, 0, 1993, 1998, 3, 189, 85, 0, 1994, 1998, 3, 187, 84, 0, 1995, 1998, 3, 203, 92, 0, 1996, 1998, 3, 281, 131, 0, 1997, 1993, 1, 0, 0, 0, 1997, 1994, 1, 0, 0, 0, 1997, 1995, 1, 0, 0, 0, 1997, 1996, 1, 0, 0, 0, 1998, 514, 1, 0, 0, 0, 1999, 2002, 3, 189, 85, 0, 2000, 2002, 3, 281, 131, 0, 2001, 1999, 1, 0, 0, 0, 2001, 2000, 1, 0, 0, 0, 2002, 2006, 1, 0, 0, 0, 2003, 2005, 3, 513, 247, 0, 2004, 2003, 1, 0, 0, 0, 2005, 2008, 1, 0, 0, 0, 2006, 2004, 1, 0, 0, 0, 2006, 2007, 1, 0, 0, 0, 2007, 2019, 1, 0, 0, 0, 2008, 2006, 1, 0, 0, 0, 2009, 2012, 3, 203, 92, 0, 2010, 2012, 3, 197, 89, 0, 2011, 2009, 1, 0, 0, 0, 2011, 2010, 1, 0, 0, 0, 2012, 2014, 1, 0, 0, 0, 2013, 2015, 3, 513, 247, 0, 2014, 2013, 1, 0, 0, 0, 2015, 2016, 1, 0, 0, 0, 2016, 2014, 1, 0, 0, 0, 2016, 2017, 1, 0, 0, 0, 2017, 2019, 1, 0, 0, 0, 2018, 2001, 1, 0, 0, 0, 2018, 2011, 1, 0, 0, 0, 2019, 516, 1, 0, 0, 0, 2020, 2023, 3, 515, 248, 0, 2021, 2023, 3, 309, 145, 0, 2022, 2020, 1, 0, 0, 0, 2022, 2021, 1, 0, 0, 0, 2023, 2024, 1, 0, 0, 0, 2024, 2022, 1, 0, 0, 0, 2024, 2025, 1, 0, 0, 0, 2025, 518, 1, 0, 0, 0, 2026, 2027, 3, 19, 0, 0, 2027, 2028, 1, 0, 0, 0, 2028, 2029, 6, 250, 0, 0, 2029, 520, 1, 0, 0, 0, 2030, 2031, 3, 21, 1, 0, 2031, 2032, 1, 0, 0, 0, 2032, 2033, 6, 251, 0, 0, 2033, 522, 1, 0, 0, 0, 2034, 2035, 3, 23, 2, 0, 2035, 2036, 1, 0, 0, 0, 2036, 2037, 6, 252, 0, 0, 2037, 524, 1, 0, 0, 0, 2038, 2039, 3, 307, 144, 0, 2039, 2040, 1, 0, 0, 0, 2040, 2041, 6, 253, 27, 0, 2041, 526, 1, 0, 0, 0, 2042, 2043, 3, 311, 146, 0, 2043, 2044, 1, 0, 0, 0, 2044, 2045, 6, 254, 26, 0, 2045, 528, 1, 0, 0, 0, 2046, 2047, 3, 217, 99, 0, 2047, 2048, 1, 0, 0, 0, 2048, 2049, 6, 255, 32, 0, 2049, 530, 1, 0, 0, 0, 2050, 2051, 3, 295, 138, 0, 2051, 2052, 1, 0, 0, 0, 2052, 2053, 6, 256, 35, 0, 2053, 532, 1, 0, 0, 0, 2054, 2055, 3, 337, 159, 0, 2055, 2056, 1, 0, 0, 0, 2056, 2057, 6, 257, 43, 0, 2057, 534, 1, 0, 0, 0, 2058, 2059, 3, 207, 94, 0, 2059, 2060, 1, 0, 0, 0, 2060, 2061, 6, 258, 31, 0, 2061, 536, 1, 0, 0, 0, 2062, 2063, 3, 223, 102, 0, 2063, 2064, 1, 0, 0, 0, 2064, 2065, 6, 259, 41, 0, 2065, 538, 1, 0, 0, 0, 2066, 2067, 3, 221, 101, 0, 2067, 2068, 1, 0, 0, 0, 2068, 2069, 6, 260, 42, 0, 2069, 540, 1, 0, 0, 0, 2070, 2071, 3, 227, 104, 0, 2071, 2072, 1, 0, 0, 0, 2072, 2073, 6, 261, 23, 0, 2073, 542, 1, 0, 0, 0, 2074, 2075, 3, 185, 83, 0, 2075, 2076, 1, 0, 0, 0, 2076, 2077, 6, 262, 17, 0, 2077, 2078, 6, 262, 18, 0, 2078, 544, 1, 0, 0, 0, 2079, 2080, 3, 303, 142, 0, 2080, 2081, 6, 263, 46, 0, 2081, 2082, 1, 0, 0, 0, 2082, 2083, 6, 263, 38, 0, 2083, 546, 1, 0, 0, 0, 2084, 2085, 5, 41, 0, 0, 2085, 2086, 4, 264, 7, 0, 2086, 2087, 6, 264, 47, 0, 2087, 2088, 1, 0, 0, 0, 2088, 2089, 6, 264, 19, 0, 2089, 548, 1, 0, 0, 0, 2090, 2091, 5, 41, 0, 0, 2091, 2092, 4, 265, 8, 0, 2092, 2093, 6, 265, 48, 0, 2093, 2094, 1, 0, 0, 0, 2094, 2095, 6, 265, 19, 0, 2095, 2096, 6, 265, 18, 0, 2096, 550, 1, 0, 0, 0, 2097, 2098, 3, 19, 0, 0, 2098, 2099, 1, 0, 0, 0, 2099, 2100, 6, 266, 0, 0, 2100, 552, 1, 0, 0, 0, 2101, 2102, 3, 21, 1, 0, 2102, 2103, 1, 0, 0, 0, 2103, 2104, 6, 267, 0, 0, 2104, 554, 1, 0, 0, 0, 2105, 2106, 3, 23, 2, 0, 2106, 2107, 1, 0, 0, 0, 2107, 2108, 6, 268, 0, 0, 2108, 556, 1, 0, 0, 0, 2109, 2113, 5, 35, 0, 0, 2110, 2112, 8, 0, 0, 0, 2111, 2110, 1, 0, 0, 0, 2112, 2115, 1, 0, 0, 0, 2113, 2111, 1, 0, 0, 0, 2113, 2114, 1, 0, 0, 0, 2114, 2117, 1, 0, 0, 0, 2115, 2113, 1, 0, 0, 0, 2116, 2118, 5, 13, 0, 0, 2117, 2116, 1, 0, 0, 0, 2117, 2118, 1, 0, 0, 0, 2118, 2120, 1, 0, 0, 0, 2119, 2121, 5, 10, 0, 0, 2120, 2119, 1, 0, 0, 0, 2120, 2121, 1, 0, 0, 0, 2121, 558, 1, 0, 0, 0, 2122, 2128, 5, 39, 0, 0, 2123, 2124, 5, 92, 0, 0, 2124, 2127, 9, 0, 0, 0, 2125, 2127, 8, 37, 0, 0, 2126, 2123, 1, 0, 0, 0, 2126, 2125, 1, 0, 0, 0, 2127, 2130, 1, 0, 0, 0, 2128, 2126, 1, 0, 0, 0, 2128, 2129, 1, 0, 0, 0, 2129, 2131, 1, 0, 0, 0, 2130, 2128, 1, 0, 0, 0, 2131, 2132, 5, 39, 0, 0, 2132, 560, 1, 0, 0, 0, 2133, 2134, 8, 38, 0, 0, 2134, 562, 1, 0, 0, 0, 2135, 2136, 3, 185, 83, 0, 2136, 2137, 1, 0, 0, 0, 2137, 2138, 6, 272, 17, 0, 2138, 2139, 6, 272, 18, 0, 2139, 564, 1, 0, 0, 0, 2140, 2141, 3, 305, 143, 0, 2141, 2142, 1, 0, 0, 0, 2142, 2143, 6, 273, 19, 0, 2143, 2144, 6, 273, 18, 0, 2144, 2145, 6, 273, 18, 0, 2145, 566, 1, 0, 0, 0, 2146, 2147, 3, 299, 140, 0, 2147, 2148, 1, 0, 0, 0, 2148, 2149, 6, 274, 24, 0, 2149, 568, 1, 0, 0, 0, 2150, 2151, 3, 301, 141, 0, 2151, 2152, 1, 0, 0, 0, 2152, 2153, 6, 275, 25, 0, 2153, 570, 1, 0, 0, 0, 2154, 2155, 3, 217, 99, 0, 2155, 2156, 1, 0, 0, 0, 2156, 2157, 6, 276, 32, 0, 2157, 572, 1, 0, 0, 0, 2158, 2159, 3, 227, 104, 0, 2159, 2160, 1, 0, 0, 0, 2160, 2161, 6, 277, 23, 0, 2161, 574, 1, 0, 0, 0, 2162, 2163, 3, 231, 106, 0, 2163, 2164, 1, 0, 0, 0, 2164, 2165, 6, 278, 22, 0, 2165, 576, 1, 0, 0, 0, 2166, 2167, 3, 255, 118, 0, 2167, 2168, 1, 0, 0, 0, 2168, 2169, 6, 279, 34, 0, 2169, 578, 1, 0, 0, 0, 2170, 2171, 3, 295, 138, 0, 2171, 2172, 1, 0, 0, 0, 2172, 2173, 6, 280, 35, 0, 2173, 580, 1, 0, 0, 0, 2174, 2175, 3, 291, 136, 0, 2175, 2176, 1, 0, 0, 0, 2176, 2177, 6, 281, 36, 0, 2177, 582, 1, 0, 0, 0, 2178, 2179, 3, 297, 139, 0, 2179, 2180, 1, 0, 0, 0, 2180, 2181, 6, 282, 37, 0, 2181, 584, 1, 0, 0, 0, 2182, 2183, 7, 4, 0, 0, 2183, 2184, 7, 17, 0, 0, 2184, 586, 1, 0, 0, 0, 2185, 2186, 3, 517, 249, 0, 2186, 2187, 1, 0, 0, 0, 2187, 2188, 6, 284, 33, 0, 2188, 588, 1, 0, 0, 0, 2189, 2190, 3, 19, 0, 0, 2190, 2191, 1, 0, 0, 0, 2191, 2192, 6, 285, 0, 0, 2192, 590, 1, 0, 0, 0, 2193, 2194, 3, 21, 1, 0, 2194, 2195, 1, 0, 0, 0, 2195, 2196, 6, 286, 0, 0, 2196, 592, 1, 0, 0, 0, 2197, 2198, 3, 23, 2, 0, 2198, 2199, 1, 0, 0, 0, 2199, 2200, 6, 287, 0, 0, 2200, 594, 1, 0, 0, 0, 2201, 2202, 3, 259, 120, 0, 2202, 2203, 1, 0, 0, 0, 2203, 2204, 6, 288, 49, 0, 2204, 596, 1, 0, 0, 0, 2205, 2206, 3, 233, 107, 0, 2206, 2207, 1, 0, 0, 0, 2207, 2208, 6, 289, 50, 0, 2208, 598, 1, 0, 0, 0, 2209, 2210, 3, 247, 114, 0, 2210, 2211, 1, 0, 0, 0, 2211, 2212, 6, 290, 51, 0, 2212, 600, 1, 0, 0, 0, 2213, 2214, 3, 225, 103, 0, 2214, 2215, 1, 0, 0, 0, 2215, 2216, 6, 291, 52, 0, 2216, 2217, 6, 291, 18, 0, 2217, 602, 1, 0, 0, 0, 2218, 2219, 3, 217, 99, 0, 2219, 2220, 1, 0, 0, 0, 2220, 2221, 6, 292, 32, 0, 2221, 604, 1, 0, 0, 0, 2222, 2223, 3, 207, 94, 0, 2223, 2224, 1, 0, 0, 0, 2224, 2225, 6, 293, 31, 0, 2225, 606, 1, 0, 0, 0, 2226, 2227, 3, 307, 144, 0, 2227, 2228, 1, 0, 0, 0, 2228, 2229, 6, 294, 27, 0, 2229, 608, 1, 0, 0, 0, 2230, 2231, 3, 311, 146, 0, 2231, 2232, 1, 0, 0, 0, 2232, 2233, 6, 295, 26, 0, 2233, 610, 1, 0, 0, 0, 2234, 2235, 3, 211, 96, 0, 2235, 2236, 1, 0, 0, 0, 2236, 2237, 6, 296, 53, 0, 2237, 612, 1, 0, 0, 0, 2238, 2239, 3, 209, 95, 0, 2239, 2240, 1, 0, 0, 0, 2240, 2241, 6, 297, 54, 0, 2241, 614, 1, 0, 0, 0, 2242, 2243, 3, 223, 102, 0, 2243, 2244, 1, 0, 0, 0, 2244, 2245, 6, 298, 41, 0, 2245, 616, 1, 0, 0, 0, 2246, 2247, 3, 227, 104, 0, 2247, 2248, 1, 0, 0, 0, 2248, 2249, 6, 299, 23, 0, 2249, 618, 1, 0, 0, 0, 2250, 2251, 3, 231, 106, 0, 2251, 2252, 1, 0, 0, 0, 2252, 2253, 6, 300, 22, 0, 2253, 620, 1, 0, 0, 0, 2254, 2255, 3, 255, 118, 0, 2255, 2256, 1, 0, 0, 0, 2256, 2257, 6, 301, 34, 0, 2257, 622, 1, 0, 0, 0, 2258, 2259, 3, 295, 138, 0, 2259, 2260, 1, 0, 0, 0, 2260, 2261, 6, 302, 35, 0, 2261, 624, 1, 0, 0, 0, 2262, 2263, 3, 287, 134, 0, 2263, 2264, 1, 0, 0, 0, 2264, 2265, 6, 303, 55, 0, 2265, 626, 1, 0, 0, 0, 2266, 2267, 3, 289, 135, 0, 2267, 2268, 1, 0, 0, 0, 2268, 2269, 6, 304, 56, 0, 2269, 628, 1, 0, 0, 0, 2270, 2271, 3, 291, 136, 0, 2271, 2272, 1, 0, 0, 0, 2272, 2273, 6, 305, 36, 0, 2273, 630, 1, 0, 0, 0, 2274, 2275, 3, 297, 139, 0, 2275, 2276, 1, 0, 0, 0, 2276, 2277, 6, 306, 37, 0, 2277, 632, 1, 0, 0, 0, 2278, 2279, 3, 299, 140, 0, 2279, 2280, 1, 0, 0, 0, 2280, 2281, 6, 307, 24, 0, 2281, 634, 1, 0, 0, 0, 2282, 2283, 3, 301, 141, 0, 2283, 2284, 1, 0, 0, 0, 2284, 2285, 6, 308, 25, 0, 2285, 636, 1, 0, 0, 0, 2286, 2287, 3, 517, 249, 0, 2287, 2288, 1, 0, 0, 0, 2288, 2289, 6, 309, 33, 0, 2289, 638, 1, 0, 0, 0, 2290, 2291, 3, 19, 0, 0, 2291, 2292, 1, 0, 0, 0, 2292, 2293, 6, 310, 0, 0, 2293, 640, 1, 0, 0, 0, 2294, 2295, 3, 21, 1, 0, 2295, 2296, 1, 0, 0, 0, 2296, 2297, 6, 311, 0, 0, 2297, 642, 1, 0, 0, 0, 2298, 2299, 3, 23, 2, 0, 2299, 2300, 1, 0, 0, 0, 2300, 2301, 6, 312, 0, 0, 2301, 644, 1, 0, 0, 0, 2302, 2303, 3, 185, 83, 0, 2303, 2304, 1, 0, 0, 0, 2304, 2305, 6, 313, 17, 0, 2305, 2306, 6, 313, 18, 0, 2306, 646, 1, 0, 0, 0, 2307, 2308, 7, 10, 0, 0, 2308, 2309, 7, 5, 0, 0, 2309, 2310, 7, 21, 0, 0, 2310, 2311, 7, 9, 0, 0, 2311, 648, 1, 0, 0, 0, 2312, 2313, 3, 19, 0, 0, 2313, 2314, 1, 0, 0, 0, 2314, 2315, 6, 315, 0, 0, 2315, 650, 1, 0, 0, 0, 2316, 2317, 3, 21, 1, 0, 2317, 2318, 1, 0, 0, 0, 2318, 2319, 6, 316, 0, 0, 2319, 652, 1, 0, 0, 0, 2320, 2321, 3, 23, 2, 0, 2321, 2322, 1, 0, 0, 0, 2322, 2323, 6, 317, 0, 0, 2323, 654, 1, 0, 0, 0, 76, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 661, 665, 668, 677, 679, 690, 989, 1074, 1078, 1083, 1215, 1220, 1229, 1236, 1241, 1243, 1254, 1262, 1265, 1267, 1272, 1277, 1283, 1290, 1295, 1301, 1304, 1312, 1316, 1457, 1462, 1469, 1471, 1476, 1481, 1488, 1490, 1516, 1521, 1526, 1528, 1534, 1596, 1601, 1997, 2001, 2006, 2011, 2016, 2018, 2022, 2024, 2113, 2117, 2120, 2126, 2128, 57, 0, 1, 0, 5, 1, 0, 5, 2, 0, 5, 4, 0, 5, 5, 0, 5, 6, 0, 5, 7, 0, 5, 8, 0, 5, 9, 0, 5, 10, 0, 5, 11, 0, 5, 13, 0, 5, 14, 0, 5, 15, 0, 5, 16, 0, 5, 17, 0, 5, 18, 0, 7, 51, 0, 4, 0, 0, 7, 100, 0, 7, 74, 0, 7, 148, 0, 7, 64, 0, 7, 62, 0, 7, 97, 0, 7, 98, 0, 7, 102, 0, 7, 101, 0, 5, 3, 0, 7, 79, 0, 7, 41, 0, 7, 52, 0, 7, 57, 0, 7, 138, 0, 7, 76, 0, 7, 95, 0, 7, 94, 0, 7, 96, 0, 7, 99, 0, 5, 0, 0, 7, 17, 0, 7, 60, 0, 7, 59, 0, 7, 107, 0, 7, 58, 0, 5, 12, 0, 1, 263, 0, 1, 264, 1, 1, 265, 2, 7, 78, 0, 7, 65, 0, 7, 72, 0, 7, 61, 0, 7, 54, 0, 7, 53, 0, 7, 92, 0, 7, 93, 0] \ No newline at end of file +[4, 0, 158, 2323, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 6, -1, 2, 0, 7, 0, 2, 1, 7, 1, 2, 2, 7, 2, 2, 3, 7, 3, 2, 4, 7, 4, 2, 5, 7, 5, 2, 6, 7, 6, 2, 7, 7, 7, 2, 8, 7, 8, 2, 9, 7, 9, 2, 10, 7, 10, 2, 11, 7, 11, 2, 12, 7, 12, 2, 13, 7, 13, 2, 14, 7, 14, 2, 15, 7, 15, 2, 16, 7, 16, 2, 17, 7, 17, 2, 18, 7, 18, 2, 19, 7, 19, 2, 20, 7, 20, 2, 21, 7, 21, 2, 22, 7, 22, 2, 23, 7, 23, 2, 24, 7, 24, 2, 25, 7, 25, 2, 26, 7, 26, 2, 27, 7, 27, 2, 28, 7, 28, 2, 29, 7, 29, 2, 30, 7, 30, 2, 31, 7, 31, 2, 32, 7, 32, 2, 33, 7, 33, 2, 34, 7, 34, 2, 35, 7, 35, 2, 36, 7, 36, 2, 37, 7, 37, 2, 38, 7, 38, 2, 39, 7, 39, 2, 40, 7, 40, 2, 41, 7, 41, 2, 42, 7, 42, 2, 43, 7, 43, 2, 44, 7, 44, 2, 45, 7, 45, 2, 46, 7, 46, 2, 47, 7, 47, 2, 48, 7, 48, 2, 49, 7, 49, 2, 50, 7, 50, 2, 51, 7, 51, 2, 52, 7, 52, 2, 53, 7, 53, 2, 54, 7, 54, 2, 55, 7, 55, 2, 56, 7, 56, 2, 57, 7, 57, 2, 58, 7, 58, 2, 59, 7, 59, 2, 60, 7, 60, 2, 61, 7, 61, 2, 62, 7, 62, 2, 63, 7, 63, 2, 64, 7, 64, 2, 65, 7, 65, 2, 66, 7, 66, 2, 67, 7, 67, 2, 68, 7, 68, 2, 69, 7, 69, 2, 70, 7, 70, 2, 71, 7, 71, 2, 72, 7, 72, 2, 73, 7, 73, 2, 74, 7, 74, 2, 75, 7, 75, 2, 76, 7, 76, 2, 77, 7, 77, 2, 78, 7, 78, 2, 79, 7, 79, 2, 80, 7, 80, 2, 81, 7, 81, 2, 82, 7, 82, 2, 83, 7, 83, 2, 84, 7, 84, 2, 85, 7, 85, 2, 86, 7, 86, 2, 87, 7, 87, 2, 88, 7, 88, 2, 89, 7, 89, 2, 90, 7, 90, 2, 91, 7, 91, 2, 92, 7, 92, 2, 93, 7, 93, 2, 94, 7, 94, 2, 95, 7, 95, 2, 96, 7, 96, 2, 97, 7, 97, 2, 98, 7, 98, 2, 99, 7, 99, 2, 100, 7, 100, 2, 101, 7, 101, 2, 102, 7, 102, 2, 103, 7, 103, 2, 104, 7, 104, 2, 105, 7, 105, 2, 106, 7, 106, 2, 107, 7, 107, 2, 108, 7, 108, 2, 109, 7, 109, 2, 110, 7, 110, 2, 111, 7, 111, 2, 112, 7, 112, 2, 113, 7, 113, 2, 114, 7, 114, 2, 115, 7, 115, 2, 116, 7, 116, 2, 117, 7, 117, 2, 118, 7, 118, 2, 119, 7, 119, 2, 120, 7, 120, 2, 121, 7, 121, 2, 122, 7, 122, 2, 123, 7, 123, 2, 124, 7, 124, 2, 125, 7, 125, 2, 126, 7, 126, 2, 127, 7, 127, 2, 128, 7, 128, 2, 129, 7, 129, 2, 130, 7, 130, 2, 131, 7, 131, 2, 132, 7, 132, 2, 133, 7, 133, 2, 134, 7, 134, 2, 135, 7, 135, 2, 136, 7, 136, 2, 137, 7, 137, 2, 138, 7, 138, 2, 139, 7, 139, 2, 140, 7, 140, 2, 141, 7, 141, 2, 142, 7, 142, 2, 143, 7, 143, 2, 144, 7, 144, 2, 145, 7, 145, 2, 146, 7, 146, 2, 147, 7, 147, 2, 148, 7, 148, 2, 149, 7, 149, 2, 150, 7, 150, 2, 151, 7, 151, 2, 152, 7, 152, 2, 153, 7, 153, 2, 154, 7, 154, 2, 155, 7, 155, 2, 156, 7, 156, 2, 157, 7, 157, 2, 158, 7, 158, 2, 159, 7, 159, 2, 160, 7, 160, 2, 161, 7, 161, 2, 162, 7, 162, 2, 163, 7, 163, 2, 164, 7, 164, 2, 165, 7, 165, 2, 166, 7, 166, 2, 167, 7, 167, 2, 168, 7, 168, 2, 169, 7, 169, 2, 170, 7, 170, 2, 171, 7, 171, 2, 172, 7, 172, 2, 173, 7, 173, 2, 174, 7, 174, 2, 175, 7, 175, 2, 176, 7, 176, 2, 177, 7, 177, 2, 178, 7, 178, 2, 179, 7, 179, 2, 180, 7, 180, 2, 181, 7, 181, 2, 182, 7, 182, 2, 183, 7, 183, 2, 184, 7, 184, 2, 185, 7, 185, 2, 186, 7, 186, 2, 187, 7, 187, 2, 188, 7, 188, 2, 189, 7, 189, 2, 190, 7, 190, 2, 191, 7, 191, 2, 192, 7, 192, 2, 193, 7, 193, 2, 194, 7, 194, 2, 195, 7, 195, 2, 196, 7, 196, 2, 197, 7, 197, 2, 198, 7, 198, 2, 199, 7, 199, 2, 200, 7, 200, 2, 201, 7, 201, 2, 202, 7, 202, 2, 203, 7, 203, 2, 204, 7, 204, 2, 205, 7, 205, 2, 206, 7, 206, 2, 207, 7, 207, 2, 208, 7, 208, 2, 209, 7, 209, 2, 210, 7, 210, 2, 211, 7, 211, 2, 212, 7, 212, 2, 213, 7, 213, 2, 214, 7, 214, 2, 215, 7, 215, 2, 216, 7, 216, 2, 217, 7, 217, 2, 218, 7, 218, 2, 219, 7, 219, 2, 220, 7, 220, 2, 221, 7, 221, 2, 222, 7, 222, 2, 223, 7, 223, 2, 224, 7, 224, 2, 225, 7, 225, 2, 226, 7, 226, 2, 227, 7, 227, 2, 228, 7, 228, 2, 229, 7, 229, 2, 230, 7, 230, 2, 231, 7, 231, 2, 232, 7, 232, 2, 233, 7, 233, 2, 234, 7, 234, 2, 235, 7, 235, 2, 236, 7, 236, 2, 237, 7, 237, 2, 238, 7, 238, 2, 239, 7, 239, 2, 240, 7, 240, 2, 241, 7, 241, 2, 242, 7, 242, 2, 243, 7, 243, 2, 244, 7, 244, 2, 245, 7, 245, 2, 246, 7, 246, 2, 247, 7, 247, 2, 248, 7, 248, 2, 249, 7, 249, 2, 250, 7, 250, 2, 251, 7, 251, 2, 252, 7, 252, 2, 253, 7, 253, 2, 254, 7, 254, 2, 255, 7, 255, 2, 256, 7, 256, 2, 257, 7, 257, 2, 258, 7, 258, 2, 259, 7, 259, 2, 260, 7, 260, 2, 261, 7, 261, 2, 262, 7, 262, 2, 263, 7, 263, 2, 264, 7, 264, 2, 265, 7, 265, 2, 266, 7, 266, 2, 267, 7, 267, 2, 268, 7, 268, 2, 269, 7, 269, 2, 270, 7, 270, 2, 271, 7, 271, 2, 272, 7, 272, 2, 273, 7, 273, 2, 274, 7, 274, 2, 275, 7, 275, 2, 276, 7, 276, 2, 277, 7, 277, 2, 278, 7, 278, 2, 279, 7, 279, 2, 280, 7, 280, 2, 281, 7, 281, 2, 282, 7, 282, 2, 283, 7, 283, 2, 284, 7, 284, 2, 285, 7, 285, 2, 286, 7, 286, 2, 287, 7, 287, 2, 288, 7, 288, 2, 289, 7, 289, 2, 290, 7, 290, 2, 291, 7, 291, 2, 292, 7, 292, 2, 293, 7, 293, 2, 294, 7, 294, 2, 295, 7, 295, 2, 296, 7, 296, 2, 297, 7, 297, 2, 298, 7, 298, 2, 299, 7, 299, 2, 300, 7, 300, 2, 301, 7, 301, 2, 302, 7, 302, 2, 303, 7, 303, 2, 304, 7, 304, 2, 305, 7, 305, 2, 306, 7, 306, 2, 307, 7, 307, 2, 308, 7, 308, 2, 309, 7, 309, 2, 310, 7, 310, 2, 311, 7, 311, 2, 312, 7, 312, 2, 313, 7, 313, 2, 314, 7, 314, 2, 315, 7, 315, 2, 316, 7, 316, 2, 317, 7, 317, 1, 0, 1, 0, 1, 0, 1, 0, 5, 0, 660, 8, 0, 10, 0, 12, 0, 663, 9, 0, 1, 0, 3, 0, 666, 8, 0, 1, 0, 3, 0, 669, 8, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 5, 1, 678, 8, 1, 10, 1, 12, 1, 681, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 4, 2, 689, 8, 2, 11, 2, 12, 2, 690, 1, 2, 1, 2, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 5, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 8, 1, 8, 1, 8, 1, 8, 1, 8, 1, 8, 1, 8, 1, 9, 1, 9, 1, 9, 1, 9, 1, 9, 1, 9, 1, 9, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 11, 1, 11, 1, 11, 1, 11, 1, 11, 1, 11, 1, 11, 1, 11, 1, 11, 1, 12, 1, 12, 1, 12, 1, 12, 1, 12, 1, 12, 1, 13, 1, 13, 1, 13, 1, 13, 1, 13, 1, 13, 1, 13, 1, 13, 1, 13, 1, 14, 1, 14, 1, 14, 1, 14, 1, 14, 1, 14, 1, 14, 1, 15, 1, 15, 1, 15, 1, 15, 1, 15, 1, 15, 1, 15, 1, 15, 1, 16, 1, 16, 1, 16, 1, 16, 1, 16, 1, 16, 1, 16, 1, 16, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 18, 1, 18, 1, 18, 1, 18, 1, 18, 1, 19, 1, 19, 1, 19, 1, 19, 1, 19, 1, 19, 1, 19, 1, 20, 1, 20, 1, 20, 1, 20, 1, 20, 1, 20, 1, 20, 1, 21, 1, 21, 1, 21, 1, 21, 1, 21, 1, 21, 1, 21, 1, 21, 1, 21, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 22, 1, 23, 1, 23, 1, 23, 1, 23, 1, 23, 1, 23, 1, 23, 1, 23, 1, 23, 1, 24, 1, 24, 1, 24, 1, 24, 1, 24, 1, 24, 1, 24, 1, 24, 1, 25, 1, 25, 1, 25, 1, 25, 1, 25, 1, 25, 1, 25, 1, 25, 1, 26, 1, 26, 1, 26, 1, 26, 1, 26, 1, 26, 1, 26, 1, 26, 1, 26, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 28, 1, 29, 1, 29, 1, 29, 1, 29, 1, 29, 1, 29, 1, 29, 1, 30, 1, 30, 1, 30, 1, 30, 1, 30, 1, 30, 1, 30, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 31, 1, 32, 1, 32, 1, 32, 1, 32, 1, 32, 1, 32, 1, 32, 1, 32, 1, 32, 1, 33, 1, 33, 1, 33, 1, 33, 1, 33, 1, 33, 1, 33, 1, 33, 1, 33, 1, 34, 1, 34, 1, 34, 1, 34, 1, 34, 1, 34, 1, 35, 1, 35, 1, 35, 1, 35, 1, 35, 1, 35, 1, 35, 1, 36, 4, 36, 987, 8, 36, 11, 36, 12, 36, 988, 1, 36, 1, 36, 1, 37, 1, 37, 1, 37, 1, 37, 1, 37, 1, 38, 1, 38, 1, 38, 1, 38, 1, 38, 1, 38, 1, 39, 1, 39, 1, 39, 1, 39, 1, 40, 1, 40, 1, 40, 1, 40, 1, 41, 1, 41, 1, 41, 1, 41, 1, 42, 1, 42, 1, 42, 1, 42, 1, 43, 1, 43, 1, 43, 1, 43, 1, 44, 1, 44, 1, 44, 1, 44, 1, 45, 1, 45, 1, 45, 1, 45, 1, 46, 1, 46, 1, 46, 1, 46, 1, 47, 1, 47, 1, 47, 1, 47, 1, 48, 1, 48, 1, 48, 1, 48, 1, 49, 1, 49, 1, 49, 1, 49, 1, 50, 1, 50, 1, 50, 1, 50, 1, 50, 1, 51, 1, 51, 1, 51, 1, 51, 1, 51, 1, 51, 1, 52, 1, 52, 1, 52, 1, 52, 1, 52, 1, 53, 1, 53, 1, 53, 1, 53, 1, 53, 1, 54, 1, 54, 1, 55, 4, 55, 1072, 8, 55, 11, 55, 12, 55, 1073, 1, 55, 1, 55, 3, 55, 1078, 8, 55, 1, 55, 4, 55, 1081, 8, 55, 11, 55, 12, 55, 1082, 1, 56, 1, 56, 1, 56, 1, 56, 1, 57, 1, 57, 1, 57, 1, 57, 1, 58, 1, 58, 1, 58, 1, 58, 1, 59, 1, 59, 1, 59, 1, 59, 1, 60, 1, 60, 1, 60, 1, 60, 1, 61, 1, 61, 1, 61, 1, 61, 1, 61, 1, 61, 1, 62, 1, 62, 1, 62, 1, 62, 1, 62, 1, 62, 1, 62, 1, 63, 1, 63, 1, 63, 1, 63, 1, 64, 1, 64, 1, 64, 1, 64, 1, 65, 1, 65, 1, 65, 1, 65, 1, 66, 1, 66, 1, 66, 1, 66, 1, 67, 1, 67, 1, 67, 1, 67, 1, 68, 1, 68, 1, 68, 1, 68, 1, 69, 1, 69, 1, 69, 1, 69, 1, 70, 1, 70, 1, 70, 1, 70, 1, 71, 1, 71, 1, 71, 1, 71, 1, 72, 1, 72, 1, 72, 1, 72, 1, 73, 1, 73, 1, 73, 1, 73, 1, 74, 1, 74, 1, 74, 1, 74, 1, 75, 1, 75, 1, 75, 1, 75, 1, 76, 1, 76, 1, 76, 1, 76, 1, 77, 1, 77, 1, 77, 1, 77, 1, 78, 1, 78, 1, 78, 1, 78, 1, 78, 1, 79, 1, 79, 1, 79, 1, 79, 1, 79, 1, 80, 1, 80, 1, 80, 1, 80, 1, 81, 1, 81, 1, 81, 1, 81, 1, 82, 1, 82, 1, 82, 1, 82, 1, 83, 1, 83, 1, 83, 1, 83, 1, 84, 1, 84, 1, 85, 1, 85, 1, 86, 1, 86, 1, 86, 1, 87, 1, 87, 1, 88, 1, 88, 3, 88, 1215, 8, 88, 1, 88, 4, 88, 1218, 8, 88, 11, 88, 12, 88, 1219, 1, 89, 1, 89, 1, 90, 1, 90, 1, 91, 1, 91, 1, 91, 3, 91, 1229, 8, 91, 1, 92, 1, 92, 1, 93, 1, 93, 1, 93, 3, 93, 1236, 8, 93, 1, 94, 1, 94, 1, 94, 5, 94, 1241, 8, 94, 10, 94, 12, 94, 1244, 9, 94, 1, 94, 1, 94, 1, 94, 1, 94, 1, 94, 1, 94, 5, 94, 1252, 8, 94, 10, 94, 12, 94, 1255, 9, 94, 1, 94, 1, 94, 1, 94, 1, 94, 1, 94, 3, 94, 1262, 8, 94, 1, 94, 3, 94, 1265, 8, 94, 3, 94, 1267, 8, 94, 1, 95, 4, 95, 1270, 8, 95, 11, 95, 12, 95, 1271, 1, 96, 4, 96, 1275, 8, 96, 11, 96, 12, 96, 1276, 1, 96, 1, 96, 5, 96, 1281, 8, 96, 10, 96, 12, 96, 1284, 9, 96, 1, 96, 1, 96, 4, 96, 1288, 8, 96, 11, 96, 12, 96, 1289, 1, 96, 4, 96, 1293, 8, 96, 11, 96, 12, 96, 1294, 1, 96, 1, 96, 5, 96, 1299, 8, 96, 10, 96, 12, 96, 1302, 9, 96, 3, 96, 1304, 8, 96, 1, 96, 1, 96, 1, 96, 1, 96, 4, 96, 1310, 8, 96, 11, 96, 12, 96, 1311, 1, 96, 1, 96, 3, 96, 1316, 8, 96, 1, 97, 1, 97, 1, 97, 1, 97, 1, 98, 1, 98, 1, 98, 1, 98, 1, 99, 1, 99, 1, 100, 1, 100, 1, 100, 1, 101, 1, 101, 1, 101, 1, 102, 1, 102, 1, 103, 1, 103, 1, 104, 1, 104, 1, 105, 1, 105, 1, 105, 1, 105, 1, 105, 1, 106, 1, 106, 1, 107, 1, 107, 1, 107, 1, 107, 1, 107, 1, 107, 1, 108, 1, 108, 1, 108, 1, 108, 1, 108, 1, 108, 1, 109, 1, 109, 1, 109, 1, 110, 1, 110, 1, 110, 1, 111, 1, 111, 1, 111, 1, 111, 1, 111, 1, 112, 1, 112, 1, 112, 1, 112, 1, 112, 1, 113, 1, 113, 1, 113, 1, 113, 1, 114, 1, 114, 1, 114, 1, 114, 1, 114, 1, 115, 1, 115, 1, 115, 1, 115, 1, 115, 1, 115, 1, 116, 1, 116, 1, 116, 1, 117, 1, 117, 1, 117, 1, 118, 1, 118, 1, 119, 1, 119, 1, 119, 1, 119, 1, 119, 1, 119, 1, 120, 1, 120, 1, 120, 1, 120, 1, 120, 1, 121, 1, 121, 1, 121, 1, 121, 1, 121, 1, 122, 1, 122, 1, 122, 1, 123, 1, 123, 1, 123, 1, 124, 1, 124, 1, 124, 1, 125, 1, 125, 1, 126, 1, 126, 1, 126, 1, 127, 1, 127, 1, 128, 1, 128, 1, 128, 1, 129, 1, 129, 1, 130, 1, 130, 1, 131, 1, 131, 1, 132, 1, 132, 1, 133, 1, 133, 1, 134, 1, 134, 1, 135, 1, 135, 1, 136, 1, 136, 1, 136, 1, 137, 1, 137, 1, 137, 1, 137, 1, 138, 1, 138, 1, 138, 3, 138, 1457, 8, 138, 1, 138, 5, 138, 1460, 8, 138, 10, 138, 12, 138, 1463, 9, 138, 1, 138, 1, 138, 4, 138, 1467, 8, 138, 11, 138, 12, 138, 1468, 3, 138, 1471, 8, 138, 1, 139, 1, 139, 1, 139, 3, 139, 1476, 8, 139, 1, 139, 5, 139, 1479, 8, 139, 10, 139, 12, 139, 1482, 9, 139, 1, 139, 1, 139, 4, 139, 1486, 8, 139, 11, 139, 12, 139, 1487, 3, 139, 1490, 8, 139, 1, 140, 1, 140, 1, 140, 1, 140, 1, 140, 1, 141, 1, 141, 1, 141, 1, 141, 1, 141, 1, 142, 1, 142, 1, 142, 1, 142, 1, 142, 1, 143, 1, 143, 1, 143, 1, 143, 1, 143, 1, 144, 1, 144, 5, 144, 1514, 8, 144, 10, 144, 12, 144, 1517, 9, 144, 1, 144, 1, 144, 3, 144, 1521, 8, 144, 1, 144, 4, 144, 1524, 8, 144, 11, 144, 12, 144, 1525, 3, 144, 1528, 8, 144, 1, 145, 1, 145, 4, 145, 1532, 8, 145, 11, 145, 12, 145, 1533, 1, 145, 1, 145, 1, 146, 1, 146, 1, 147, 1, 147, 1, 147, 1, 147, 1, 148, 1, 148, 1, 148, 1, 148, 1, 149, 1, 149, 1, 149, 1, 149, 1, 150, 1, 150, 1, 150, 1, 150, 1, 150, 1, 151, 1, 151, 1, 151, 1, 151, 1, 152, 1, 152, 1, 152, 1, 152, 1, 153, 1, 153, 1, 153, 1, 153, 1, 154, 1, 154, 1, 154, 1, 154, 1, 155, 1, 155, 1, 155, 1, 155, 1, 155, 1, 155, 1, 155, 1, 155, 1, 155, 1, 156, 1, 156, 1, 156, 1, 156, 1, 156, 1, 156, 1, 157, 1, 157, 1, 157, 1, 157, 1, 157, 1, 158, 1, 158, 1, 158, 3, 158, 1596, 8, 158, 1, 159, 4, 159, 1599, 8, 159, 11, 159, 12, 159, 1600, 1, 160, 1, 160, 1, 160, 1, 160, 1, 161, 1, 161, 1, 161, 1, 161, 1, 162, 1, 162, 1, 162, 1, 162, 1, 163, 1, 163, 1, 163, 1, 163, 1, 164, 1, 164, 1, 164, 1, 164, 1, 165, 1, 165, 1, 165, 1, 165, 1, 165, 1, 166, 1, 166, 1, 166, 1, 166, 1, 166, 1, 166, 1, 167, 1, 167, 1, 167, 1, 167, 1, 167, 1, 168, 1, 168, 1, 168, 1, 168, 1, 169, 1, 169, 1, 169, 1, 169, 1, 170, 1, 170, 1, 170, 1, 170, 1, 171, 1, 171, 1, 171, 1, 171, 1, 171, 1, 172, 1, 172, 1, 172, 1, 172, 1, 172, 1, 172, 1, 173, 1, 173, 1, 173, 1, 173, 1, 173, 1, 173, 1, 174, 1, 174, 1, 174, 1, 174, 1, 174, 1, 174, 1, 175, 1, 175, 1, 175, 1, 175, 1, 176, 1, 176, 1, 176, 1, 176, 1, 176, 1, 176, 1, 177, 1, 177, 1, 177, 1, 177, 1, 178, 1, 178, 1, 178, 1, 178, 1, 179, 1, 179, 1, 179, 1, 179, 1, 180, 1, 180, 1, 180, 1, 180, 1, 181, 1, 181, 1, 181, 1, 181, 1, 182, 1, 182, 1, 182, 1, 182, 1, 183, 1, 183, 1, 183, 1, 183, 1, 184, 1, 184, 1, 184, 1, 184, 1, 185, 1, 185, 1, 185, 1, 185, 1, 186, 1, 186, 1, 186, 1, 186, 1, 187, 1, 187, 1, 187, 1, 187, 1, 188, 1, 188, 1, 188, 1, 188, 1, 189, 1, 189, 1, 189, 1, 189, 1, 189, 1, 189, 1, 189, 1, 189, 1, 189, 1, 190, 1, 190, 1, 190, 1, 190, 1, 191, 1, 191, 1, 191, 1, 191, 1, 192, 1, 192, 1, 192, 1, 192, 1, 193, 1, 193, 1, 193, 1, 193, 1, 193, 1, 194, 1, 194, 1, 194, 1, 194, 1, 194, 1, 195, 1, 195, 1, 195, 1, 195, 1, 196, 1, 196, 1, 196, 1, 196, 1, 196, 1, 196, 1, 197, 1, 197, 1, 197, 1, 197, 1, 197, 1, 197, 1, 197, 1, 197, 1, 197, 1, 198, 1, 198, 1, 198, 1, 198, 1, 199, 1, 199, 1, 199, 1, 199, 1, 200, 1, 200, 1, 200, 1, 200, 1, 201, 1, 201, 1, 201, 1, 201, 1, 202, 1, 202, 1, 202, 1, 202, 1, 203, 1, 203, 1, 203, 1, 203, 1, 204, 1, 204, 1, 204, 1, 204, 1, 204, 1, 205, 1, 205, 1, 205, 1, 205, 1, 205, 1, 205, 1, 206, 1, 206, 1, 206, 1, 206, 1, 207, 1, 207, 1, 207, 1, 207, 1, 208, 1, 208, 1, 208, 1, 208, 1, 209, 1, 209, 1, 209, 1, 209, 1, 209, 1, 210, 1, 210, 1, 210, 1, 210, 1, 211, 1, 211, 1, 211, 1, 211, 1, 212, 1, 212, 1, 212, 1, 212, 1, 213, 1, 213, 1, 213, 1, 213, 1, 214, 1, 214, 1, 214, 1, 214, 1, 215, 1, 215, 1, 215, 1, 215, 1, 215, 1, 215, 1, 216, 1, 216, 1, 216, 1, 216, 1, 216, 1, 216, 1, 216, 1, 217, 1, 217, 1, 217, 1, 217, 1, 218, 1, 218, 1, 218, 1, 218, 1, 219, 1, 219, 1, 219, 1, 219, 1, 220, 1, 220, 1, 220, 1, 220, 1, 221, 1, 221, 1, 221, 1, 221, 1, 222, 1, 222, 1, 222, 1, 222, 1, 223, 1, 223, 1, 223, 1, 223, 1, 223, 1, 224, 1, 224, 1, 224, 1, 224, 1, 224, 1, 224, 1, 225, 1, 225, 1, 225, 1, 225, 1, 226, 1, 226, 1, 226, 1, 226, 1, 227, 1, 227, 1, 227, 1, 227, 1, 228, 1, 228, 1, 228, 1, 228, 1, 229, 1, 229, 1, 229, 1, 229, 1, 230, 1, 230, 1, 230, 1, 230, 1, 231, 1, 231, 1, 231, 1, 231, 1, 232, 1, 232, 1, 232, 1, 232, 1, 233, 1, 233, 1, 233, 1, 233, 1, 234, 1, 234, 1, 234, 1, 234, 1, 235, 1, 235, 1, 235, 1, 235, 1, 236, 1, 236, 1, 236, 1, 236, 1, 237, 1, 237, 1, 237, 1, 237, 1, 237, 1, 238, 1, 238, 1, 238, 1, 238, 1, 238, 1, 238, 1, 239, 1, 239, 1, 239, 1, 239, 1, 240, 1, 240, 1, 240, 1, 240, 1, 241, 1, 241, 1, 241, 1, 241, 1, 242, 1, 242, 1, 242, 1, 242, 1, 243, 1, 243, 1, 243, 1, 243, 1, 244, 1, 244, 1, 244, 1, 244, 1, 245, 1, 245, 1, 245, 1, 245, 1, 246, 1, 246, 1, 246, 1, 246, 1, 247, 1, 247, 1, 247, 1, 247, 3, 247, 1997, 8, 247, 1, 248, 1, 248, 3, 248, 2001, 8, 248, 1, 248, 5, 248, 2004, 8, 248, 10, 248, 12, 248, 2007, 9, 248, 1, 248, 1, 248, 3, 248, 2011, 8, 248, 1, 248, 4, 248, 2014, 8, 248, 11, 248, 12, 248, 2015, 3, 248, 2018, 8, 248, 1, 249, 1, 249, 4, 249, 2022, 8, 249, 11, 249, 12, 249, 2023, 1, 250, 1, 250, 1, 250, 1, 250, 1, 251, 1, 251, 1, 251, 1, 251, 1, 252, 1, 252, 1, 252, 1, 252, 1, 253, 1, 253, 1, 253, 1, 253, 1, 254, 1, 254, 1, 254, 1, 254, 1, 255, 1, 255, 1, 255, 1, 255, 1, 256, 1, 256, 1, 256, 1, 256, 1, 257, 1, 257, 1, 257, 1, 257, 1, 258, 1, 258, 1, 258, 1, 258, 1, 259, 1, 259, 1, 259, 1, 259, 1, 260, 1, 260, 1, 260, 1, 260, 1, 261, 1, 261, 1, 261, 1, 261, 1, 262, 1, 262, 1, 262, 1, 262, 1, 262, 1, 263, 1, 263, 1, 263, 1, 263, 1, 263, 1, 264, 1, 264, 1, 264, 1, 264, 1, 264, 1, 264, 1, 265, 1, 265, 1, 265, 1, 265, 1, 265, 1, 265, 1, 265, 1, 266, 1, 266, 1, 266, 1, 266, 1, 267, 1, 267, 1, 267, 1, 267, 1, 268, 1, 268, 1, 268, 1, 268, 1, 269, 1, 269, 5, 269, 2111, 8, 269, 10, 269, 12, 269, 2114, 9, 269, 1, 269, 3, 269, 2117, 8, 269, 1, 269, 3, 269, 2120, 8, 269, 1, 270, 1, 270, 1, 270, 1, 270, 5, 270, 2126, 8, 270, 10, 270, 12, 270, 2129, 9, 270, 1, 270, 1, 270, 1, 271, 1, 271, 1, 272, 1, 272, 1, 272, 1, 272, 1, 272, 1, 273, 1, 273, 1, 273, 1, 273, 1, 273, 1, 273, 1, 274, 1, 274, 1, 274, 1, 274, 1, 275, 1, 275, 1, 275, 1, 275, 1, 276, 1, 276, 1, 276, 1, 276, 1, 277, 1, 277, 1, 277, 1, 277, 1, 278, 1, 278, 1, 278, 1, 278, 1, 279, 1, 279, 1, 279, 1, 279, 1, 280, 1, 280, 1, 280, 1, 280, 1, 281, 1, 281, 1, 281, 1, 281, 1, 282, 1, 282, 1, 282, 1, 282, 1, 283, 1, 283, 1, 283, 1, 284, 1, 284, 1, 284, 1, 284, 1, 285, 1, 285, 1, 285, 1, 285, 1, 286, 1, 286, 1, 286, 1, 286, 1, 287, 1, 287, 1, 287, 1, 287, 1, 288, 1, 288, 1, 288, 1, 288, 1, 289, 1, 289, 1, 289, 1, 289, 1, 290, 1, 290, 1, 290, 1, 290, 1, 291, 1, 291, 1, 291, 1, 291, 1, 291, 1, 292, 1, 292, 1, 292, 1, 292, 1, 293, 1, 293, 1, 293, 1, 293, 1, 294, 1, 294, 1, 294, 1, 294, 1, 295, 1, 295, 1, 295, 1, 295, 1, 296, 1, 296, 1, 296, 1, 296, 1, 297, 1, 297, 1, 297, 1, 297, 1, 298, 1, 298, 1, 298, 1, 298, 1, 299, 1, 299, 1, 299, 1, 299, 1, 300, 1, 300, 1, 300, 1, 300, 1, 301, 1, 301, 1, 301, 1, 301, 1, 302, 1, 302, 1, 302, 1, 302, 1, 303, 1, 303, 1, 303, 1, 303, 1, 304, 1, 304, 1, 304, 1, 304, 1, 305, 1, 305, 1, 305, 1, 305, 1, 306, 1, 306, 1, 306, 1, 306, 1, 307, 1, 307, 1, 307, 1, 307, 1, 308, 1, 308, 1, 308, 1, 308, 1, 309, 1, 309, 1, 309, 1, 309, 1, 310, 1, 310, 1, 310, 1, 310, 1, 311, 1, 311, 1, 311, 1, 311, 1, 312, 1, 312, 1, 312, 1, 312, 1, 313, 1, 313, 1, 313, 1, 313, 1, 313, 1, 314, 1, 314, 1, 314, 1, 314, 1, 314, 1, 315, 1, 315, 1, 315, 1, 315, 1, 316, 1, 316, 1, 316, 1, 316, 1, 317, 1, 317, 1, 317, 1, 317, 2, 679, 1253, 0, 318, 19, 1, 21, 2, 23, 3, 25, 4, 27, 5, 29, 6, 31, 7, 33, 8, 35, 9, 37, 10, 39, 11, 41, 12, 43, 13, 45, 14, 47, 15, 49, 16, 51, 17, 53, 18, 55, 19, 57, 20, 59, 21, 61, 22, 63, 23, 65, 24, 67, 25, 69, 26, 71, 27, 73, 28, 75, 29, 77, 30, 79, 31, 81, 32, 83, 33, 85, 34, 87, 35, 89, 36, 91, 37, 93, 0, 95, 0, 97, 0, 99, 0, 101, 0, 103, 0, 105, 0, 107, 0, 109, 0, 111, 0, 113, 38, 115, 39, 117, 40, 119, 0, 121, 0, 123, 0, 125, 0, 127, 0, 129, 41, 131, 0, 133, 0, 135, 42, 137, 43, 139, 44, 141, 0, 143, 0, 145, 0, 147, 0, 149, 0, 151, 0, 153, 0, 155, 0, 157, 0, 159, 0, 161, 0, 163, 0, 165, 0, 167, 0, 169, 45, 171, 46, 173, 47, 175, 0, 177, 0, 179, 48, 181, 49, 183, 50, 185, 51, 187, 0, 189, 0, 191, 0, 193, 0, 195, 0, 197, 0, 199, 0, 201, 0, 203, 0, 205, 0, 207, 52, 209, 53, 211, 54, 213, 55, 215, 56, 217, 57, 219, 58, 221, 59, 223, 60, 225, 61, 227, 62, 229, 63, 231, 64, 233, 65, 235, 66, 237, 67, 239, 68, 241, 69, 243, 70, 245, 71, 247, 72, 249, 73, 251, 74, 253, 75, 255, 76, 257, 77, 259, 78, 261, 79, 263, 80, 265, 81, 267, 82, 269, 83, 271, 84, 273, 85, 275, 86, 277, 87, 279, 88, 281, 89, 283, 90, 285, 91, 287, 92, 289, 93, 291, 94, 293, 0, 295, 95, 297, 96, 299, 97, 301, 98, 303, 99, 305, 100, 307, 101, 309, 0, 311, 102, 313, 103, 315, 104, 317, 105, 319, 0, 321, 0, 323, 0, 325, 0, 327, 0, 329, 106, 331, 0, 333, 0, 335, 0, 337, 107, 339, 0, 341, 0, 343, 108, 345, 109, 347, 110, 349, 0, 351, 0, 353, 0, 355, 111, 357, 112, 359, 113, 361, 0, 363, 0, 365, 114, 367, 115, 369, 116, 371, 0, 373, 0, 375, 0, 377, 0, 379, 0, 381, 0, 383, 0, 385, 0, 387, 0, 389, 0, 391, 117, 393, 118, 395, 119, 397, 120, 399, 121, 401, 122, 403, 123, 405, 0, 407, 124, 409, 0, 411, 0, 413, 125, 415, 0, 417, 0, 419, 0, 421, 126, 423, 127, 425, 128, 427, 0, 429, 0, 431, 0, 433, 0, 435, 0, 437, 0, 439, 0, 441, 0, 443, 129, 445, 130, 447, 131, 449, 0, 451, 0, 453, 0, 455, 0, 457, 0, 459, 132, 461, 133, 463, 134, 465, 0, 467, 0, 469, 0, 471, 0, 473, 0, 475, 0, 477, 0, 479, 0, 481, 0, 483, 0, 485, 0, 487, 135, 489, 136, 491, 137, 493, 0, 495, 0, 497, 0, 499, 0, 501, 0, 503, 0, 505, 0, 507, 0, 509, 0, 511, 0, 513, 0, 515, 0, 517, 138, 519, 139, 521, 140, 523, 141, 525, 0, 527, 0, 529, 0, 531, 0, 533, 0, 535, 0, 537, 0, 539, 0, 541, 0, 543, 0, 545, 0, 547, 0, 549, 0, 551, 142, 553, 143, 555, 144, 557, 145, 559, 146, 561, 147, 563, 0, 565, 0, 567, 0, 569, 0, 571, 0, 573, 0, 575, 0, 577, 0, 579, 0, 581, 0, 583, 0, 585, 148, 587, 0, 589, 149, 591, 150, 593, 151, 595, 0, 597, 0, 599, 0, 601, 0, 603, 0, 605, 0, 607, 0, 609, 0, 611, 0, 613, 0, 615, 0, 617, 0, 619, 0, 621, 0, 623, 0, 625, 0, 627, 0, 629, 0, 631, 0, 633, 0, 635, 0, 637, 0, 639, 152, 641, 153, 643, 154, 645, 0, 647, 155, 649, 156, 651, 157, 653, 158, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 39, 2, 0, 10, 10, 13, 13, 3, 0, 9, 10, 13, 13, 32, 32, 2, 0, 67, 67, 99, 99, 2, 0, 72, 72, 104, 104, 2, 0, 65, 65, 97, 97, 2, 0, 78, 78, 110, 110, 2, 0, 71, 71, 103, 103, 2, 0, 69, 69, 101, 101, 2, 0, 80, 80, 112, 112, 2, 0, 79, 79, 111, 111, 2, 0, 73, 73, 105, 105, 2, 0, 84, 84, 116, 116, 2, 0, 82, 82, 114, 114, 2, 0, 88, 88, 120, 120, 2, 0, 76, 76, 108, 108, 2, 0, 77, 77, 109, 109, 2, 0, 68, 68, 100, 100, 2, 0, 83, 83, 115, 115, 2, 0, 86, 86, 118, 118, 2, 0, 75, 75, 107, 107, 2, 0, 87, 87, 119, 119, 2, 0, 70, 70, 102, 102, 2, 0, 85, 85, 117, 117, 2, 0, 81, 81, 113, 113, 6, 0, 9, 10, 13, 13, 32, 32, 47, 47, 91, 91, 93, 93, 12, 0, 9, 10, 13, 13, 32, 32, 34, 35, 40, 41, 44, 44, 47, 47, 58, 58, 60, 60, 62, 63, 92, 92, 124, 124, 1, 0, 48, 57, 2, 0, 65, 90, 97, 122, 8, 0, 34, 34, 78, 78, 82, 82, 84, 84, 92, 92, 110, 110, 114, 114, 116, 116, 4, 0, 10, 10, 13, 13, 34, 34, 92, 92, 2, 0, 43, 43, 45, 45, 1, 0, 96, 96, 2, 0, 66, 66, 98, 98, 2, 0, 89, 89, 121, 121, 12, 0, 9, 10, 13, 13, 32, 32, 34, 34, 40, 41, 44, 44, 47, 47, 58, 58, 61, 61, 91, 91, 93, 93, 124, 124, 2, 0, 42, 42, 47, 47, 2, 0, 74, 74, 106, 106, 2, 0, 39, 39, 92, 92, 7, 0, 10, 10, 13, 13, 32, 32, 34, 35, 39, 41, 96, 96, 124, 124, 2351, 0, 19, 1, 0, 0, 0, 0, 21, 1, 0, 0, 0, 0, 23, 1, 0, 0, 0, 0, 25, 1, 0, 0, 0, 0, 27, 1, 0, 0, 0, 0, 29, 1, 0, 0, 0, 0, 31, 1, 0, 0, 0, 0, 33, 1, 0, 0, 0, 0, 35, 1, 0, 0, 0, 0, 37, 1, 0, 0, 0, 0, 39, 1, 0, 0, 0, 0, 41, 1, 0, 0, 0, 0, 43, 1, 0, 0, 0, 0, 45, 1, 0, 0, 0, 0, 47, 1, 0, 0, 0, 0, 49, 1, 0, 0, 0, 0, 51, 1, 0, 0, 0, 0, 53, 1, 0, 0, 0, 0, 55, 1, 0, 0, 0, 0, 57, 1, 0, 0, 0, 0, 59, 1, 0, 0, 0, 0, 61, 1, 0, 0, 0, 0, 63, 1, 0, 0, 0, 0, 65, 1, 0, 0, 0, 0, 67, 1, 0, 0, 0, 0, 69, 1, 0, 0, 0, 0, 71, 1, 0, 0, 0, 0, 73, 1, 0, 0, 0, 0, 75, 1, 0, 0, 0, 0, 77, 1, 0, 0, 0, 0, 79, 1, 0, 0, 0, 0, 81, 1, 0, 0, 0, 0, 83, 1, 0, 0, 0, 0, 85, 1, 0, 0, 0, 0, 87, 1, 0, 0, 0, 0, 89, 1, 0, 0, 0, 0, 91, 1, 0, 0, 0, 1, 93, 1, 0, 0, 0, 1, 95, 1, 0, 0, 0, 1, 97, 1, 0, 0, 0, 1, 99, 1, 0, 0, 0, 1, 101, 1, 0, 0, 0, 1, 103, 1, 0, 0, 0, 1, 105, 1, 0, 0, 0, 1, 107, 1, 0, 0, 0, 1, 109, 1, 0, 0, 0, 1, 111, 1, 0, 0, 0, 1, 113, 1, 0, 0, 0, 1, 115, 1, 0, 0, 0, 1, 117, 1, 0, 0, 0, 2, 119, 1, 0, 0, 0, 2, 121, 1, 0, 0, 0, 2, 123, 1, 0, 0, 0, 2, 125, 1, 0, 0, 0, 2, 129, 1, 0, 0, 0, 2, 131, 1, 0, 0, 0, 2, 133, 1, 0, 0, 0, 2, 135, 1, 0, 0, 0, 2, 137, 1, 0, 0, 0, 2, 139, 1, 0, 0, 0, 3, 141, 1, 0, 0, 0, 3, 143, 1, 0, 0, 0, 3, 145, 1, 0, 0, 0, 3, 147, 1, 0, 0, 0, 3, 149, 1, 0, 0, 0, 3, 151, 1, 0, 0, 0, 3, 153, 1, 0, 0, 0, 3, 155, 1, 0, 0, 0, 3, 157, 1, 0, 0, 0, 3, 159, 1, 0, 0, 0, 3, 161, 1, 0, 0, 0, 3, 163, 1, 0, 0, 0, 3, 165, 1, 0, 0, 0, 3, 167, 1, 0, 0, 0, 3, 169, 1, 0, 0, 0, 3, 171, 1, 0, 0, 0, 3, 173, 1, 0, 0, 0, 4, 175, 1, 0, 0, 0, 4, 177, 1, 0, 0, 0, 4, 179, 1, 0, 0, 0, 4, 181, 1, 0, 0, 0, 4, 183, 1, 0, 0, 0, 5, 185, 1, 0, 0, 0, 5, 207, 1, 0, 0, 0, 5, 209, 1, 0, 0, 0, 5, 211, 1, 0, 0, 0, 5, 213, 1, 0, 0, 0, 5, 215, 1, 0, 0, 0, 5, 217, 1, 0, 0, 0, 5, 219, 1, 0, 0, 0, 5, 221, 1, 0, 0, 0, 5, 223, 1, 0, 0, 0, 5, 225, 1, 0, 0, 0, 5, 227, 1, 0, 0, 0, 5, 229, 1, 0, 0, 0, 5, 231, 1, 0, 0, 0, 5, 233, 1, 0, 0, 0, 5, 235, 1, 0, 0, 0, 5, 237, 1, 0, 0, 0, 5, 239, 1, 0, 0, 0, 5, 241, 1, 0, 0, 0, 5, 243, 1, 0, 0, 0, 5, 245, 1, 0, 0, 0, 5, 247, 1, 0, 0, 0, 5, 249, 1, 0, 0, 0, 5, 251, 1, 0, 0, 0, 5, 253, 1, 0, 0, 0, 5, 255, 1, 0, 0, 0, 5, 257, 1, 0, 0, 0, 5, 259, 1, 0, 0, 0, 5, 261, 1, 0, 0, 0, 5, 263, 1, 0, 0, 0, 5, 265, 1, 0, 0, 0, 5, 267, 1, 0, 0, 0, 5, 269, 1, 0, 0, 0, 5, 271, 1, 0, 0, 0, 5, 273, 1, 0, 0, 0, 5, 275, 1, 0, 0, 0, 5, 277, 1, 0, 0, 0, 5, 279, 1, 0, 0, 0, 5, 281, 1, 0, 0, 0, 5, 283, 1, 0, 0, 0, 5, 285, 1, 0, 0, 0, 5, 287, 1, 0, 0, 0, 5, 289, 1, 0, 0, 0, 5, 291, 1, 0, 0, 0, 5, 293, 1, 0, 0, 0, 5, 295, 1, 0, 0, 0, 5, 297, 1, 0, 0, 0, 5, 299, 1, 0, 0, 0, 5, 301, 1, 0, 0, 0, 5, 303, 1, 0, 0, 0, 5, 305, 1, 0, 0, 0, 5, 307, 1, 0, 0, 0, 5, 311, 1, 0, 0, 0, 5, 313, 1, 0, 0, 0, 5, 315, 1, 0, 0, 0, 5, 317, 1, 0, 0, 0, 6, 319, 1, 0, 0, 0, 6, 321, 1, 0, 0, 0, 6, 323, 1, 0, 0, 0, 6, 325, 1, 0, 0, 0, 6, 327, 1, 0, 0, 0, 6, 329, 1, 0, 0, 0, 6, 331, 1, 0, 0, 0, 6, 333, 1, 0, 0, 0, 6, 337, 1, 0, 0, 0, 6, 339, 1, 0, 0, 0, 6, 341, 1, 0, 0, 0, 6, 343, 1, 0, 0, 0, 6, 345, 1, 0, 0, 0, 6, 347, 1, 0, 0, 0, 7, 349, 1, 0, 0, 0, 7, 351, 1, 0, 0, 0, 7, 353, 1, 0, 0, 0, 7, 355, 1, 0, 0, 0, 7, 357, 1, 0, 0, 0, 7, 359, 1, 0, 0, 0, 8, 361, 1, 0, 0, 0, 8, 363, 1, 0, 0, 0, 8, 365, 1, 0, 0, 0, 8, 367, 1, 0, 0, 0, 8, 369, 1, 0, 0, 0, 8, 371, 1, 0, 0, 0, 8, 373, 1, 0, 0, 0, 8, 375, 1, 0, 0, 0, 8, 377, 1, 0, 0, 0, 8, 379, 1, 0, 0, 0, 8, 381, 1, 0, 0, 0, 8, 383, 1, 0, 0, 0, 8, 385, 1, 0, 0, 0, 8, 387, 1, 0, 0, 0, 8, 389, 1, 0, 0, 0, 8, 391, 1, 0, 0, 0, 8, 393, 1, 0, 0, 0, 8, 395, 1, 0, 0, 0, 9, 397, 1, 0, 0, 0, 9, 399, 1, 0, 0, 0, 9, 401, 1, 0, 0, 0, 9, 403, 1, 0, 0, 0, 10, 405, 1, 0, 0, 0, 10, 407, 1, 0, 0, 0, 10, 409, 1, 0, 0, 0, 10, 411, 1, 0, 0, 0, 10, 413, 1, 0, 0, 0, 10, 415, 1, 0, 0, 0, 10, 417, 1, 0, 0, 0, 10, 419, 1, 0, 0, 0, 10, 421, 1, 0, 0, 0, 10, 423, 1, 0, 0, 0, 10, 425, 1, 0, 0, 0, 11, 427, 1, 0, 0, 0, 11, 429, 1, 0, 0, 0, 11, 431, 1, 0, 0, 0, 11, 433, 1, 0, 0, 0, 11, 435, 1, 0, 0, 0, 11, 437, 1, 0, 0, 0, 11, 439, 1, 0, 0, 0, 11, 441, 1, 0, 0, 0, 11, 443, 1, 0, 0, 0, 11, 445, 1, 0, 0, 0, 11, 447, 1, 0, 0, 0, 12, 449, 1, 0, 0, 0, 12, 451, 1, 0, 0, 0, 12, 453, 1, 0, 0, 0, 12, 455, 1, 0, 0, 0, 12, 457, 1, 0, 0, 0, 12, 459, 1, 0, 0, 0, 12, 461, 1, 0, 0, 0, 12, 463, 1, 0, 0, 0, 13, 465, 1, 0, 0, 0, 13, 467, 1, 0, 0, 0, 13, 469, 1, 0, 0, 0, 13, 471, 1, 0, 0, 0, 13, 473, 1, 0, 0, 0, 13, 475, 1, 0, 0, 0, 13, 477, 1, 0, 0, 0, 13, 479, 1, 0, 0, 0, 13, 481, 1, 0, 0, 0, 13, 483, 1, 0, 0, 0, 13, 485, 1, 0, 0, 0, 13, 487, 1, 0, 0, 0, 13, 489, 1, 0, 0, 0, 13, 491, 1, 0, 0, 0, 14, 493, 1, 0, 0, 0, 14, 495, 1, 0, 0, 0, 14, 497, 1, 0, 0, 0, 14, 499, 1, 0, 0, 0, 14, 501, 1, 0, 0, 0, 14, 503, 1, 0, 0, 0, 14, 505, 1, 0, 0, 0, 14, 507, 1, 0, 0, 0, 14, 509, 1, 0, 0, 0, 14, 511, 1, 0, 0, 0, 14, 517, 1, 0, 0, 0, 14, 519, 1, 0, 0, 0, 14, 521, 1, 0, 0, 0, 14, 523, 1, 0, 0, 0, 15, 525, 1, 0, 0, 0, 15, 527, 1, 0, 0, 0, 15, 529, 1, 0, 0, 0, 15, 531, 1, 0, 0, 0, 15, 533, 1, 0, 0, 0, 15, 535, 1, 0, 0, 0, 15, 537, 1, 0, 0, 0, 15, 539, 1, 0, 0, 0, 15, 541, 1, 0, 0, 0, 15, 543, 1, 0, 0, 0, 15, 545, 1, 0, 0, 0, 15, 547, 1, 0, 0, 0, 15, 549, 1, 0, 0, 0, 15, 551, 1, 0, 0, 0, 15, 553, 1, 0, 0, 0, 15, 555, 1, 0, 0, 0, 15, 557, 1, 0, 0, 0, 15, 559, 1, 0, 0, 0, 15, 561, 1, 0, 0, 0, 16, 563, 1, 0, 0, 0, 16, 565, 1, 0, 0, 0, 16, 567, 1, 0, 0, 0, 16, 569, 1, 0, 0, 0, 16, 571, 1, 0, 0, 0, 16, 573, 1, 0, 0, 0, 16, 575, 1, 0, 0, 0, 16, 577, 1, 0, 0, 0, 16, 579, 1, 0, 0, 0, 16, 581, 1, 0, 0, 0, 16, 583, 1, 0, 0, 0, 16, 585, 1, 0, 0, 0, 16, 587, 1, 0, 0, 0, 16, 589, 1, 0, 0, 0, 16, 591, 1, 0, 0, 0, 16, 593, 1, 0, 0, 0, 17, 595, 1, 0, 0, 0, 17, 597, 1, 0, 0, 0, 17, 599, 1, 0, 0, 0, 17, 601, 1, 0, 0, 0, 17, 603, 1, 0, 0, 0, 17, 605, 1, 0, 0, 0, 17, 607, 1, 0, 0, 0, 17, 609, 1, 0, 0, 0, 17, 611, 1, 0, 0, 0, 17, 613, 1, 0, 0, 0, 17, 615, 1, 0, 0, 0, 17, 617, 1, 0, 0, 0, 17, 619, 1, 0, 0, 0, 17, 621, 1, 0, 0, 0, 17, 623, 1, 0, 0, 0, 17, 625, 1, 0, 0, 0, 17, 627, 1, 0, 0, 0, 17, 629, 1, 0, 0, 0, 17, 631, 1, 0, 0, 0, 17, 633, 1, 0, 0, 0, 17, 635, 1, 0, 0, 0, 17, 637, 1, 0, 0, 0, 17, 639, 1, 0, 0, 0, 17, 641, 1, 0, 0, 0, 17, 643, 1, 0, 0, 0, 18, 645, 1, 0, 0, 0, 18, 647, 1, 0, 0, 0, 18, 649, 1, 0, 0, 0, 18, 651, 1, 0, 0, 0, 18, 653, 1, 0, 0, 0, 19, 655, 1, 0, 0, 0, 21, 672, 1, 0, 0, 0, 23, 688, 1, 0, 0, 0, 25, 694, 1, 0, 0, 0, 27, 709, 1, 0, 0, 0, 29, 718, 1, 0, 0, 0, 31, 729, 1, 0, 0, 0, 33, 742, 1, 0, 0, 0, 35, 752, 1, 0, 0, 0, 37, 759, 1, 0, 0, 0, 39, 766, 1, 0, 0, 0, 41, 774, 1, 0, 0, 0, 43, 783, 1, 0, 0, 0, 45, 789, 1, 0, 0, 0, 47, 798, 1, 0, 0, 0, 49, 805, 1, 0, 0, 0, 51, 813, 1, 0, 0, 0, 53, 821, 1, 0, 0, 0, 55, 828, 1, 0, 0, 0, 57, 833, 1, 0, 0, 0, 59, 840, 1, 0, 0, 0, 61, 847, 1, 0, 0, 0, 63, 856, 1, 0, 0, 0, 65, 870, 1, 0, 0, 0, 67, 879, 1, 0, 0, 0, 69, 887, 1, 0, 0, 0, 71, 895, 1, 0, 0, 0, 73, 904, 1, 0, 0, 0, 75, 916, 1, 0, 0, 0, 77, 928, 1, 0, 0, 0, 79, 935, 1, 0, 0, 0, 81, 942, 1, 0, 0, 0, 83, 954, 1, 0, 0, 0, 85, 963, 1, 0, 0, 0, 87, 972, 1, 0, 0, 0, 89, 978, 1, 0, 0, 0, 91, 986, 1, 0, 0, 0, 93, 992, 1, 0, 0, 0, 95, 997, 1, 0, 0, 0, 97, 1003, 1, 0, 0, 0, 99, 1007, 1, 0, 0, 0, 101, 1011, 1, 0, 0, 0, 103, 1015, 1, 0, 0, 0, 105, 1019, 1, 0, 0, 0, 107, 1023, 1, 0, 0, 0, 109, 1027, 1, 0, 0, 0, 111, 1031, 1, 0, 0, 0, 113, 1035, 1, 0, 0, 0, 115, 1039, 1, 0, 0, 0, 117, 1043, 1, 0, 0, 0, 119, 1047, 1, 0, 0, 0, 121, 1052, 1, 0, 0, 0, 123, 1058, 1, 0, 0, 0, 125, 1063, 1, 0, 0, 0, 127, 1068, 1, 0, 0, 0, 129, 1077, 1, 0, 0, 0, 131, 1084, 1, 0, 0, 0, 133, 1088, 1, 0, 0, 0, 135, 1092, 1, 0, 0, 0, 137, 1096, 1, 0, 0, 0, 139, 1100, 1, 0, 0, 0, 141, 1104, 1, 0, 0, 0, 143, 1110, 1, 0, 0, 0, 145, 1117, 1, 0, 0, 0, 147, 1121, 1, 0, 0, 0, 149, 1125, 1, 0, 0, 0, 151, 1129, 1, 0, 0, 0, 153, 1133, 1, 0, 0, 0, 155, 1137, 1, 0, 0, 0, 157, 1141, 1, 0, 0, 0, 159, 1145, 1, 0, 0, 0, 161, 1149, 1, 0, 0, 0, 163, 1153, 1, 0, 0, 0, 165, 1157, 1, 0, 0, 0, 167, 1161, 1, 0, 0, 0, 169, 1165, 1, 0, 0, 0, 171, 1169, 1, 0, 0, 0, 173, 1173, 1, 0, 0, 0, 175, 1177, 1, 0, 0, 0, 177, 1182, 1, 0, 0, 0, 179, 1187, 1, 0, 0, 0, 181, 1191, 1, 0, 0, 0, 183, 1195, 1, 0, 0, 0, 185, 1199, 1, 0, 0, 0, 187, 1203, 1, 0, 0, 0, 189, 1205, 1, 0, 0, 0, 191, 1207, 1, 0, 0, 0, 193, 1210, 1, 0, 0, 0, 195, 1212, 1, 0, 0, 0, 197, 1221, 1, 0, 0, 0, 199, 1223, 1, 0, 0, 0, 201, 1228, 1, 0, 0, 0, 203, 1230, 1, 0, 0, 0, 205, 1235, 1, 0, 0, 0, 207, 1266, 1, 0, 0, 0, 209, 1269, 1, 0, 0, 0, 211, 1315, 1, 0, 0, 0, 213, 1317, 1, 0, 0, 0, 215, 1321, 1, 0, 0, 0, 217, 1325, 1, 0, 0, 0, 219, 1327, 1, 0, 0, 0, 221, 1330, 1, 0, 0, 0, 223, 1333, 1, 0, 0, 0, 225, 1335, 1, 0, 0, 0, 227, 1337, 1, 0, 0, 0, 229, 1339, 1, 0, 0, 0, 231, 1344, 1, 0, 0, 0, 233, 1346, 1, 0, 0, 0, 235, 1352, 1, 0, 0, 0, 237, 1358, 1, 0, 0, 0, 239, 1361, 1, 0, 0, 0, 241, 1364, 1, 0, 0, 0, 243, 1369, 1, 0, 0, 0, 245, 1374, 1, 0, 0, 0, 247, 1378, 1, 0, 0, 0, 249, 1383, 1, 0, 0, 0, 251, 1389, 1, 0, 0, 0, 253, 1392, 1, 0, 0, 0, 255, 1395, 1, 0, 0, 0, 257, 1397, 1, 0, 0, 0, 259, 1403, 1, 0, 0, 0, 261, 1408, 1, 0, 0, 0, 263, 1413, 1, 0, 0, 0, 265, 1416, 1, 0, 0, 0, 267, 1419, 1, 0, 0, 0, 269, 1422, 1, 0, 0, 0, 271, 1424, 1, 0, 0, 0, 273, 1427, 1, 0, 0, 0, 275, 1429, 1, 0, 0, 0, 277, 1432, 1, 0, 0, 0, 279, 1434, 1, 0, 0, 0, 281, 1436, 1, 0, 0, 0, 283, 1438, 1, 0, 0, 0, 285, 1440, 1, 0, 0, 0, 287, 1442, 1, 0, 0, 0, 289, 1444, 1, 0, 0, 0, 291, 1446, 1, 0, 0, 0, 293, 1449, 1, 0, 0, 0, 295, 1470, 1, 0, 0, 0, 297, 1489, 1, 0, 0, 0, 299, 1491, 1, 0, 0, 0, 301, 1496, 1, 0, 0, 0, 303, 1501, 1, 0, 0, 0, 305, 1506, 1, 0, 0, 0, 307, 1527, 1, 0, 0, 0, 309, 1529, 1, 0, 0, 0, 311, 1537, 1, 0, 0, 0, 313, 1539, 1, 0, 0, 0, 315, 1543, 1, 0, 0, 0, 317, 1547, 1, 0, 0, 0, 319, 1551, 1, 0, 0, 0, 321, 1556, 1, 0, 0, 0, 323, 1560, 1, 0, 0, 0, 325, 1564, 1, 0, 0, 0, 327, 1568, 1, 0, 0, 0, 329, 1572, 1, 0, 0, 0, 331, 1581, 1, 0, 0, 0, 333, 1587, 1, 0, 0, 0, 335, 1595, 1, 0, 0, 0, 337, 1598, 1, 0, 0, 0, 339, 1602, 1, 0, 0, 0, 341, 1606, 1, 0, 0, 0, 343, 1610, 1, 0, 0, 0, 345, 1614, 1, 0, 0, 0, 347, 1618, 1, 0, 0, 0, 349, 1622, 1, 0, 0, 0, 351, 1627, 1, 0, 0, 0, 353, 1633, 1, 0, 0, 0, 355, 1638, 1, 0, 0, 0, 357, 1642, 1, 0, 0, 0, 359, 1646, 1, 0, 0, 0, 361, 1650, 1, 0, 0, 0, 363, 1655, 1, 0, 0, 0, 365, 1661, 1, 0, 0, 0, 367, 1667, 1, 0, 0, 0, 369, 1673, 1, 0, 0, 0, 371, 1677, 1, 0, 0, 0, 373, 1683, 1, 0, 0, 0, 375, 1687, 1, 0, 0, 0, 377, 1691, 1, 0, 0, 0, 379, 1695, 1, 0, 0, 0, 381, 1699, 1, 0, 0, 0, 383, 1703, 1, 0, 0, 0, 385, 1707, 1, 0, 0, 0, 387, 1711, 1, 0, 0, 0, 389, 1715, 1, 0, 0, 0, 391, 1719, 1, 0, 0, 0, 393, 1723, 1, 0, 0, 0, 395, 1727, 1, 0, 0, 0, 397, 1731, 1, 0, 0, 0, 399, 1740, 1, 0, 0, 0, 401, 1744, 1, 0, 0, 0, 403, 1748, 1, 0, 0, 0, 405, 1752, 1, 0, 0, 0, 407, 1757, 1, 0, 0, 0, 409, 1762, 1, 0, 0, 0, 411, 1766, 1, 0, 0, 0, 413, 1772, 1, 0, 0, 0, 415, 1781, 1, 0, 0, 0, 417, 1785, 1, 0, 0, 0, 419, 1789, 1, 0, 0, 0, 421, 1793, 1, 0, 0, 0, 423, 1797, 1, 0, 0, 0, 425, 1801, 1, 0, 0, 0, 427, 1805, 1, 0, 0, 0, 429, 1810, 1, 0, 0, 0, 431, 1816, 1, 0, 0, 0, 433, 1820, 1, 0, 0, 0, 435, 1824, 1, 0, 0, 0, 437, 1828, 1, 0, 0, 0, 439, 1833, 1, 0, 0, 0, 441, 1837, 1, 0, 0, 0, 443, 1841, 1, 0, 0, 0, 445, 1845, 1, 0, 0, 0, 447, 1849, 1, 0, 0, 0, 449, 1853, 1, 0, 0, 0, 451, 1859, 1, 0, 0, 0, 453, 1866, 1, 0, 0, 0, 455, 1870, 1, 0, 0, 0, 457, 1874, 1, 0, 0, 0, 459, 1878, 1, 0, 0, 0, 461, 1882, 1, 0, 0, 0, 463, 1886, 1, 0, 0, 0, 465, 1890, 1, 0, 0, 0, 467, 1895, 1, 0, 0, 0, 469, 1901, 1, 0, 0, 0, 471, 1905, 1, 0, 0, 0, 473, 1909, 1, 0, 0, 0, 475, 1913, 1, 0, 0, 0, 477, 1917, 1, 0, 0, 0, 479, 1921, 1, 0, 0, 0, 481, 1925, 1, 0, 0, 0, 483, 1929, 1, 0, 0, 0, 485, 1933, 1, 0, 0, 0, 487, 1937, 1, 0, 0, 0, 489, 1941, 1, 0, 0, 0, 491, 1945, 1, 0, 0, 0, 493, 1949, 1, 0, 0, 0, 495, 1954, 1, 0, 0, 0, 497, 1960, 1, 0, 0, 0, 499, 1964, 1, 0, 0, 0, 501, 1968, 1, 0, 0, 0, 503, 1972, 1, 0, 0, 0, 505, 1976, 1, 0, 0, 0, 507, 1980, 1, 0, 0, 0, 509, 1984, 1, 0, 0, 0, 511, 1988, 1, 0, 0, 0, 513, 1996, 1, 0, 0, 0, 515, 2017, 1, 0, 0, 0, 517, 2021, 1, 0, 0, 0, 519, 2025, 1, 0, 0, 0, 521, 2029, 1, 0, 0, 0, 523, 2033, 1, 0, 0, 0, 525, 2037, 1, 0, 0, 0, 527, 2041, 1, 0, 0, 0, 529, 2045, 1, 0, 0, 0, 531, 2049, 1, 0, 0, 0, 533, 2053, 1, 0, 0, 0, 535, 2057, 1, 0, 0, 0, 537, 2061, 1, 0, 0, 0, 539, 2065, 1, 0, 0, 0, 541, 2069, 1, 0, 0, 0, 543, 2073, 1, 0, 0, 0, 545, 2078, 1, 0, 0, 0, 547, 2083, 1, 0, 0, 0, 549, 2089, 1, 0, 0, 0, 551, 2096, 1, 0, 0, 0, 553, 2100, 1, 0, 0, 0, 555, 2104, 1, 0, 0, 0, 557, 2108, 1, 0, 0, 0, 559, 2121, 1, 0, 0, 0, 561, 2132, 1, 0, 0, 0, 563, 2134, 1, 0, 0, 0, 565, 2139, 1, 0, 0, 0, 567, 2145, 1, 0, 0, 0, 569, 2149, 1, 0, 0, 0, 571, 2153, 1, 0, 0, 0, 573, 2157, 1, 0, 0, 0, 575, 2161, 1, 0, 0, 0, 577, 2165, 1, 0, 0, 0, 579, 2169, 1, 0, 0, 0, 581, 2173, 1, 0, 0, 0, 583, 2177, 1, 0, 0, 0, 585, 2181, 1, 0, 0, 0, 587, 2184, 1, 0, 0, 0, 589, 2188, 1, 0, 0, 0, 591, 2192, 1, 0, 0, 0, 593, 2196, 1, 0, 0, 0, 595, 2200, 1, 0, 0, 0, 597, 2204, 1, 0, 0, 0, 599, 2208, 1, 0, 0, 0, 601, 2212, 1, 0, 0, 0, 603, 2217, 1, 0, 0, 0, 605, 2221, 1, 0, 0, 0, 607, 2225, 1, 0, 0, 0, 609, 2229, 1, 0, 0, 0, 611, 2233, 1, 0, 0, 0, 613, 2237, 1, 0, 0, 0, 615, 2241, 1, 0, 0, 0, 617, 2245, 1, 0, 0, 0, 619, 2249, 1, 0, 0, 0, 621, 2253, 1, 0, 0, 0, 623, 2257, 1, 0, 0, 0, 625, 2261, 1, 0, 0, 0, 627, 2265, 1, 0, 0, 0, 629, 2269, 1, 0, 0, 0, 631, 2273, 1, 0, 0, 0, 633, 2277, 1, 0, 0, 0, 635, 2281, 1, 0, 0, 0, 637, 2285, 1, 0, 0, 0, 639, 2289, 1, 0, 0, 0, 641, 2293, 1, 0, 0, 0, 643, 2297, 1, 0, 0, 0, 645, 2301, 1, 0, 0, 0, 647, 2306, 1, 0, 0, 0, 649, 2311, 1, 0, 0, 0, 651, 2315, 1, 0, 0, 0, 653, 2319, 1, 0, 0, 0, 655, 656, 5, 47, 0, 0, 656, 657, 5, 47, 0, 0, 657, 661, 1, 0, 0, 0, 658, 660, 8, 0, 0, 0, 659, 658, 1, 0, 0, 0, 660, 663, 1, 0, 0, 0, 661, 659, 1, 0, 0, 0, 661, 662, 1, 0, 0, 0, 662, 665, 1, 0, 0, 0, 663, 661, 1, 0, 0, 0, 664, 666, 5, 13, 0, 0, 665, 664, 1, 0, 0, 0, 665, 666, 1, 0, 0, 0, 666, 668, 1, 0, 0, 0, 667, 669, 5, 10, 0, 0, 668, 667, 1, 0, 0, 0, 668, 669, 1, 0, 0, 0, 669, 670, 1, 0, 0, 0, 670, 671, 6, 0, 0, 0, 671, 20, 1, 0, 0, 0, 672, 673, 5, 47, 0, 0, 673, 674, 5, 42, 0, 0, 674, 679, 1, 0, 0, 0, 675, 678, 3, 21, 1, 0, 676, 678, 9, 0, 0, 0, 677, 675, 1, 0, 0, 0, 677, 676, 1, 0, 0, 0, 678, 681, 1, 0, 0, 0, 679, 680, 1, 0, 0, 0, 679, 677, 1, 0, 0, 0, 680, 682, 1, 0, 0, 0, 681, 679, 1, 0, 0, 0, 682, 683, 5, 42, 0, 0, 683, 684, 5, 47, 0, 0, 684, 685, 1, 0, 0, 0, 685, 686, 6, 1, 0, 0, 686, 22, 1, 0, 0, 0, 687, 689, 7, 1, 0, 0, 688, 687, 1, 0, 0, 0, 689, 690, 1, 0, 0, 0, 690, 688, 1, 0, 0, 0, 690, 691, 1, 0, 0, 0, 691, 692, 1, 0, 0, 0, 692, 693, 6, 2, 0, 0, 693, 24, 1, 0, 0, 0, 694, 695, 7, 2, 0, 0, 695, 696, 7, 3, 0, 0, 696, 697, 7, 4, 0, 0, 697, 698, 7, 5, 0, 0, 698, 699, 7, 6, 0, 0, 699, 700, 7, 7, 0, 0, 700, 701, 5, 95, 0, 0, 701, 702, 7, 8, 0, 0, 702, 703, 7, 9, 0, 0, 703, 704, 7, 10, 0, 0, 704, 705, 7, 5, 0, 0, 705, 706, 7, 11, 0, 0, 706, 707, 1, 0, 0, 0, 707, 708, 6, 3, 1, 0, 708, 26, 1, 0, 0, 0, 709, 710, 7, 7, 0, 0, 710, 711, 7, 5, 0, 0, 711, 712, 7, 12, 0, 0, 712, 713, 7, 10, 0, 0, 713, 714, 7, 2, 0, 0, 714, 715, 7, 3, 0, 0, 715, 716, 1, 0, 0, 0, 716, 717, 6, 4, 2, 0, 717, 28, 1, 0, 0, 0, 718, 719, 4, 5, 0, 0, 719, 720, 7, 7, 0, 0, 720, 721, 7, 13, 0, 0, 721, 722, 7, 8, 0, 0, 722, 723, 7, 14, 0, 0, 723, 724, 7, 4, 0, 0, 724, 725, 7, 10, 0, 0, 725, 726, 7, 5, 0, 0, 726, 727, 1, 0, 0, 0, 727, 728, 6, 5, 3, 0, 728, 30, 1, 0, 0, 0, 729, 730, 7, 2, 0, 0, 730, 731, 7, 9, 0, 0, 731, 732, 7, 15, 0, 0, 732, 733, 7, 8, 0, 0, 733, 734, 7, 14, 0, 0, 734, 735, 7, 7, 0, 0, 735, 736, 7, 11, 0, 0, 736, 737, 7, 10, 0, 0, 737, 738, 7, 9, 0, 0, 738, 739, 7, 5, 0, 0, 739, 740, 1, 0, 0, 0, 740, 741, 6, 6, 4, 0, 741, 32, 1, 0, 0, 0, 742, 743, 7, 16, 0, 0, 743, 744, 7, 10, 0, 0, 744, 745, 7, 17, 0, 0, 745, 746, 7, 17, 0, 0, 746, 747, 7, 7, 0, 0, 747, 748, 7, 2, 0, 0, 748, 749, 7, 11, 0, 0, 749, 750, 1, 0, 0, 0, 750, 751, 6, 7, 4, 0, 751, 34, 1, 0, 0, 0, 752, 753, 7, 7, 0, 0, 753, 754, 7, 18, 0, 0, 754, 755, 7, 4, 0, 0, 755, 756, 7, 14, 0, 0, 756, 757, 1, 0, 0, 0, 757, 758, 6, 8, 4, 0, 758, 36, 1, 0, 0, 0, 759, 760, 7, 6, 0, 0, 760, 761, 7, 12, 0, 0, 761, 762, 7, 9, 0, 0, 762, 763, 7, 19, 0, 0, 763, 764, 1, 0, 0, 0, 764, 765, 6, 9, 4, 0, 765, 38, 1, 0, 0, 0, 766, 767, 7, 14, 0, 0, 767, 768, 7, 10, 0, 0, 768, 769, 7, 15, 0, 0, 769, 770, 7, 10, 0, 0, 770, 771, 7, 11, 0, 0, 771, 772, 1, 0, 0, 0, 772, 773, 6, 10, 4, 0, 773, 40, 1, 0, 0, 0, 774, 775, 7, 12, 0, 0, 775, 776, 7, 7, 0, 0, 776, 777, 7, 12, 0, 0, 777, 778, 7, 4, 0, 0, 778, 779, 7, 5, 0, 0, 779, 780, 7, 19, 0, 0, 780, 781, 1, 0, 0, 0, 781, 782, 6, 11, 4, 0, 782, 42, 1, 0, 0, 0, 783, 784, 7, 12, 0, 0, 784, 785, 7, 9, 0, 0, 785, 786, 7, 20, 0, 0, 786, 787, 1, 0, 0, 0, 787, 788, 6, 12, 4, 0, 788, 44, 1, 0, 0, 0, 789, 790, 7, 17, 0, 0, 790, 791, 7, 4, 0, 0, 791, 792, 7, 15, 0, 0, 792, 793, 7, 8, 0, 0, 793, 794, 7, 14, 0, 0, 794, 795, 7, 7, 0, 0, 795, 796, 1, 0, 0, 0, 796, 797, 6, 13, 4, 0, 797, 46, 1, 0, 0, 0, 798, 799, 7, 17, 0, 0, 799, 800, 7, 9, 0, 0, 800, 801, 7, 12, 0, 0, 801, 802, 7, 11, 0, 0, 802, 803, 1, 0, 0, 0, 803, 804, 6, 14, 4, 0, 804, 48, 1, 0, 0, 0, 805, 806, 7, 17, 0, 0, 806, 807, 7, 11, 0, 0, 807, 808, 7, 4, 0, 0, 808, 809, 7, 11, 0, 0, 809, 810, 7, 17, 0, 0, 810, 811, 1, 0, 0, 0, 811, 812, 6, 15, 4, 0, 812, 50, 1, 0, 0, 0, 813, 814, 7, 20, 0, 0, 814, 815, 7, 3, 0, 0, 815, 816, 7, 7, 0, 0, 816, 817, 7, 12, 0, 0, 817, 818, 7, 7, 0, 0, 818, 819, 1, 0, 0, 0, 819, 820, 6, 16, 4, 0, 820, 52, 1, 0, 0, 0, 821, 822, 7, 21, 0, 0, 822, 823, 7, 12, 0, 0, 823, 824, 7, 9, 0, 0, 824, 825, 7, 15, 0, 0, 825, 826, 1, 0, 0, 0, 826, 827, 6, 17, 5, 0, 827, 54, 1, 0, 0, 0, 828, 829, 7, 11, 0, 0, 829, 830, 7, 17, 0, 0, 830, 831, 1, 0, 0, 0, 831, 832, 6, 18, 5, 0, 832, 56, 1, 0, 0, 0, 833, 834, 7, 21, 0, 0, 834, 835, 7, 9, 0, 0, 835, 836, 7, 12, 0, 0, 836, 837, 7, 19, 0, 0, 837, 838, 1, 0, 0, 0, 838, 839, 6, 19, 6, 0, 839, 58, 1, 0, 0, 0, 840, 841, 7, 21, 0, 0, 841, 842, 7, 22, 0, 0, 842, 843, 7, 17, 0, 0, 843, 844, 7, 7, 0, 0, 844, 845, 1, 0, 0, 0, 845, 846, 6, 20, 7, 0, 846, 60, 1, 0, 0, 0, 847, 848, 7, 10, 0, 0, 848, 849, 7, 5, 0, 0, 849, 850, 7, 14, 0, 0, 850, 851, 7, 10, 0, 0, 851, 852, 7, 5, 0, 0, 852, 853, 7, 7, 0, 0, 853, 854, 1, 0, 0, 0, 854, 855, 6, 21, 8, 0, 855, 62, 1, 0, 0, 0, 856, 857, 7, 10, 0, 0, 857, 858, 7, 5, 0, 0, 858, 859, 7, 14, 0, 0, 859, 860, 7, 10, 0, 0, 860, 861, 7, 5, 0, 0, 861, 862, 7, 7, 0, 0, 862, 863, 7, 17, 0, 0, 863, 864, 7, 11, 0, 0, 864, 865, 7, 4, 0, 0, 865, 866, 7, 11, 0, 0, 866, 867, 7, 17, 0, 0, 867, 868, 1, 0, 0, 0, 868, 869, 6, 22, 4, 0, 869, 64, 1, 0, 0, 0, 870, 871, 7, 14, 0, 0, 871, 872, 7, 9, 0, 0, 872, 873, 7, 9, 0, 0, 873, 874, 7, 19, 0, 0, 874, 875, 7, 22, 0, 0, 875, 876, 7, 8, 0, 0, 876, 877, 1, 0, 0, 0, 877, 878, 6, 23, 9, 0, 878, 66, 1, 0, 0, 0, 879, 880, 4, 24, 1, 0, 880, 881, 7, 21, 0, 0, 881, 882, 7, 22, 0, 0, 882, 883, 7, 14, 0, 0, 883, 884, 7, 14, 0, 0, 884, 885, 1, 0, 0, 0, 885, 886, 6, 24, 9, 0, 886, 68, 1, 0, 0, 0, 887, 888, 4, 25, 2, 0, 888, 889, 7, 14, 0, 0, 889, 890, 7, 7, 0, 0, 890, 891, 7, 21, 0, 0, 891, 892, 7, 11, 0, 0, 892, 893, 1, 0, 0, 0, 893, 894, 6, 25, 9, 0, 894, 70, 1, 0, 0, 0, 895, 896, 4, 26, 3, 0, 896, 897, 7, 12, 0, 0, 897, 898, 7, 10, 0, 0, 898, 899, 7, 6, 0, 0, 899, 900, 7, 3, 0, 0, 900, 901, 7, 11, 0, 0, 901, 902, 1, 0, 0, 0, 902, 903, 6, 26, 9, 0, 903, 72, 1, 0, 0, 0, 904, 905, 4, 27, 4, 0, 905, 906, 7, 14, 0, 0, 906, 907, 7, 9, 0, 0, 907, 908, 7, 9, 0, 0, 908, 909, 7, 19, 0, 0, 909, 910, 7, 22, 0, 0, 910, 911, 7, 8, 0, 0, 911, 912, 5, 95, 0, 0, 912, 913, 5, 128020, 0, 0, 913, 914, 1, 0, 0, 0, 914, 915, 6, 27, 10, 0, 915, 74, 1, 0, 0, 0, 916, 917, 7, 15, 0, 0, 917, 918, 7, 18, 0, 0, 918, 919, 5, 95, 0, 0, 919, 920, 7, 7, 0, 0, 920, 921, 7, 13, 0, 0, 921, 922, 7, 8, 0, 0, 922, 923, 7, 4, 0, 0, 923, 924, 7, 5, 0, 0, 924, 925, 7, 16, 0, 0, 925, 926, 1, 0, 0, 0, 926, 927, 6, 28, 11, 0, 927, 76, 1, 0, 0, 0, 928, 929, 7, 16, 0, 0, 929, 930, 7, 12, 0, 0, 930, 931, 7, 9, 0, 0, 931, 932, 7, 8, 0, 0, 932, 933, 1, 0, 0, 0, 933, 934, 6, 29, 12, 0, 934, 78, 1, 0, 0, 0, 935, 936, 7, 19, 0, 0, 936, 937, 7, 7, 0, 0, 937, 938, 7, 7, 0, 0, 938, 939, 7, 8, 0, 0, 939, 940, 1, 0, 0, 0, 940, 941, 6, 30, 12, 0, 941, 80, 1, 0, 0, 0, 942, 943, 4, 31, 5, 0, 943, 944, 7, 10, 0, 0, 944, 945, 7, 5, 0, 0, 945, 946, 7, 17, 0, 0, 946, 947, 7, 10, 0, 0, 947, 948, 7, 17, 0, 0, 948, 949, 7, 11, 0, 0, 949, 950, 5, 95, 0, 0, 950, 951, 5, 128020, 0, 0, 951, 952, 1, 0, 0, 0, 952, 953, 6, 31, 12, 0, 953, 82, 1, 0, 0, 0, 954, 955, 7, 8, 0, 0, 955, 956, 7, 12, 0, 0, 956, 957, 7, 9, 0, 0, 957, 958, 7, 15, 0, 0, 958, 959, 7, 23, 0, 0, 959, 960, 7, 14, 0, 0, 960, 961, 1, 0, 0, 0, 961, 962, 6, 32, 13, 0, 962, 84, 1, 0, 0, 0, 963, 964, 7, 12, 0, 0, 964, 965, 7, 7, 0, 0, 965, 966, 7, 5, 0, 0, 966, 967, 7, 4, 0, 0, 967, 968, 7, 15, 0, 0, 968, 969, 7, 7, 0, 0, 969, 970, 1, 0, 0, 0, 970, 971, 6, 33, 14, 0, 971, 86, 1, 0, 0, 0, 972, 973, 7, 17, 0, 0, 973, 974, 7, 7, 0, 0, 974, 975, 7, 11, 0, 0, 975, 976, 1, 0, 0, 0, 976, 977, 6, 34, 15, 0, 977, 88, 1, 0, 0, 0, 978, 979, 7, 17, 0, 0, 979, 980, 7, 3, 0, 0, 980, 981, 7, 9, 0, 0, 981, 982, 7, 20, 0, 0, 982, 983, 1, 0, 0, 0, 983, 984, 6, 35, 16, 0, 984, 90, 1, 0, 0, 0, 985, 987, 8, 24, 0, 0, 986, 985, 1, 0, 0, 0, 987, 988, 1, 0, 0, 0, 988, 986, 1, 0, 0, 0, 988, 989, 1, 0, 0, 0, 989, 990, 1, 0, 0, 0, 990, 991, 6, 36, 4, 0, 991, 92, 1, 0, 0, 0, 992, 993, 3, 185, 83, 0, 993, 994, 1, 0, 0, 0, 994, 995, 6, 37, 17, 0, 995, 996, 6, 37, 18, 0, 996, 94, 1, 0, 0, 0, 997, 998, 3, 305, 143, 0, 998, 999, 1, 0, 0, 0, 999, 1000, 6, 38, 19, 0, 1000, 1001, 6, 38, 18, 0, 1001, 1002, 6, 38, 18, 0, 1002, 96, 1, 0, 0, 0, 1003, 1004, 3, 251, 116, 0, 1004, 1005, 1, 0, 0, 0, 1005, 1006, 6, 39, 20, 0, 1006, 98, 1, 0, 0, 0, 1007, 1008, 3, 585, 283, 0, 1008, 1009, 1, 0, 0, 0, 1009, 1010, 6, 40, 21, 0, 1010, 100, 1, 0, 0, 0, 1011, 1012, 3, 231, 106, 0, 1012, 1013, 1, 0, 0, 0, 1013, 1014, 6, 41, 22, 0, 1014, 102, 1, 0, 0, 0, 1015, 1016, 3, 227, 104, 0, 1016, 1017, 1, 0, 0, 0, 1017, 1018, 6, 42, 23, 0, 1018, 104, 1, 0, 0, 0, 1019, 1020, 3, 299, 140, 0, 1020, 1021, 1, 0, 0, 0, 1021, 1022, 6, 43, 24, 0, 1022, 106, 1, 0, 0, 0, 1023, 1024, 3, 301, 141, 0, 1024, 1025, 1, 0, 0, 0, 1025, 1026, 6, 44, 25, 0, 1026, 108, 1, 0, 0, 0, 1027, 1028, 3, 311, 146, 0, 1028, 1029, 1, 0, 0, 0, 1029, 1030, 6, 45, 26, 0, 1030, 110, 1, 0, 0, 0, 1031, 1032, 3, 307, 144, 0, 1032, 1033, 1, 0, 0, 0, 1033, 1034, 6, 46, 27, 0, 1034, 112, 1, 0, 0, 0, 1035, 1036, 3, 19, 0, 0, 1036, 1037, 1, 0, 0, 0, 1037, 1038, 6, 47, 0, 0, 1038, 114, 1, 0, 0, 0, 1039, 1040, 3, 21, 1, 0, 1040, 1041, 1, 0, 0, 0, 1041, 1042, 6, 48, 0, 0, 1042, 116, 1, 0, 0, 0, 1043, 1044, 3, 23, 2, 0, 1044, 1045, 1, 0, 0, 0, 1045, 1046, 6, 49, 0, 0, 1046, 118, 1, 0, 0, 0, 1047, 1048, 3, 185, 83, 0, 1048, 1049, 1, 0, 0, 0, 1049, 1050, 6, 50, 17, 0, 1050, 1051, 6, 50, 18, 0, 1051, 120, 1, 0, 0, 0, 1052, 1053, 3, 305, 143, 0, 1053, 1054, 1, 0, 0, 0, 1054, 1055, 6, 51, 19, 0, 1055, 1056, 6, 51, 18, 0, 1056, 1057, 6, 51, 18, 0, 1057, 122, 1, 0, 0, 0, 1058, 1059, 3, 251, 116, 0, 1059, 1060, 1, 0, 0, 0, 1060, 1061, 6, 52, 20, 0, 1061, 1062, 6, 52, 28, 0, 1062, 124, 1, 0, 0, 0, 1063, 1064, 3, 261, 121, 0, 1064, 1065, 1, 0, 0, 0, 1065, 1066, 6, 53, 29, 0, 1066, 1067, 6, 53, 28, 0, 1067, 126, 1, 0, 0, 0, 1068, 1069, 8, 25, 0, 0, 1069, 128, 1, 0, 0, 0, 1070, 1072, 3, 127, 54, 0, 1071, 1070, 1, 0, 0, 0, 1072, 1073, 1, 0, 0, 0, 1073, 1071, 1, 0, 0, 0, 1073, 1074, 1, 0, 0, 0, 1074, 1075, 1, 0, 0, 0, 1075, 1076, 3, 223, 102, 0, 1076, 1078, 1, 0, 0, 0, 1077, 1071, 1, 0, 0, 0, 1077, 1078, 1, 0, 0, 0, 1078, 1080, 1, 0, 0, 0, 1079, 1081, 3, 127, 54, 0, 1080, 1079, 1, 0, 0, 0, 1081, 1082, 1, 0, 0, 0, 1082, 1080, 1, 0, 0, 0, 1082, 1083, 1, 0, 0, 0, 1083, 130, 1, 0, 0, 0, 1084, 1085, 3, 129, 55, 0, 1085, 1086, 1, 0, 0, 0, 1086, 1087, 6, 56, 30, 0, 1087, 132, 1, 0, 0, 0, 1088, 1089, 3, 207, 94, 0, 1089, 1090, 1, 0, 0, 0, 1090, 1091, 6, 57, 31, 0, 1091, 134, 1, 0, 0, 0, 1092, 1093, 3, 19, 0, 0, 1093, 1094, 1, 0, 0, 0, 1094, 1095, 6, 58, 0, 0, 1095, 136, 1, 0, 0, 0, 1096, 1097, 3, 21, 1, 0, 1097, 1098, 1, 0, 0, 0, 1098, 1099, 6, 59, 0, 0, 1099, 138, 1, 0, 0, 0, 1100, 1101, 3, 23, 2, 0, 1101, 1102, 1, 0, 0, 0, 1102, 1103, 6, 60, 0, 0, 1103, 140, 1, 0, 0, 0, 1104, 1105, 3, 185, 83, 0, 1105, 1106, 1, 0, 0, 0, 1106, 1107, 6, 61, 17, 0, 1107, 1108, 6, 61, 18, 0, 1108, 1109, 6, 61, 18, 0, 1109, 142, 1, 0, 0, 0, 1110, 1111, 3, 305, 143, 0, 1111, 1112, 1, 0, 0, 0, 1112, 1113, 6, 62, 19, 0, 1113, 1114, 6, 62, 18, 0, 1114, 1115, 6, 62, 18, 0, 1115, 1116, 6, 62, 18, 0, 1116, 144, 1, 0, 0, 0, 1117, 1118, 3, 299, 140, 0, 1118, 1119, 1, 0, 0, 0, 1119, 1120, 6, 63, 24, 0, 1120, 146, 1, 0, 0, 0, 1121, 1122, 3, 301, 141, 0, 1122, 1123, 1, 0, 0, 0, 1123, 1124, 6, 64, 25, 0, 1124, 148, 1, 0, 0, 0, 1125, 1126, 3, 217, 99, 0, 1126, 1127, 1, 0, 0, 0, 1127, 1128, 6, 65, 32, 0, 1128, 150, 1, 0, 0, 0, 1129, 1130, 3, 227, 104, 0, 1130, 1131, 1, 0, 0, 0, 1131, 1132, 6, 66, 23, 0, 1132, 152, 1, 0, 0, 0, 1133, 1134, 3, 231, 106, 0, 1134, 1135, 1, 0, 0, 0, 1135, 1136, 6, 67, 22, 0, 1136, 154, 1, 0, 0, 0, 1137, 1138, 3, 261, 121, 0, 1138, 1139, 1, 0, 0, 0, 1139, 1140, 6, 68, 29, 0, 1140, 156, 1, 0, 0, 0, 1141, 1142, 3, 517, 249, 0, 1142, 1143, 1, 0, 0, 0, 1143, 1144, 6, 69, 33, 0, 1144, 158, 1, 0, 0, 0, 1145, 1146, 3, 311, 146, 0, 1146, 1147, 1, 0, 0, 0, 1147, 1148, 6, 70, 26, 0, 1148, 160, 1, 0, 0, 0, 1149, 1150, 3, 255, 118, 0, 1150, 1151, 1, 0, 0, 0, 1151, 1152, 6, 71, 34, 0, 1152, 162, 1, 0, 0, 0, 1153, 1154, 3, 295, 138, 0, 1154, 1155, 1, 0, 0, 0, 1155, 1156, 6, 72, 35, 0, 1156, 164, 1, 0, 0, 0, 1157, 1158, 3, 291, 136, 0, 1158, 1159, 1, 0, 0, 0, 1159, 1160, 6, 73, 36, 0, 1160, 166, 1, 0, 0, 0, 1161, 1162, 3, 297, 139, 0, 1162, 1163, 1, 0, 0, 0, 1163, 1164, 6, 74, 37, 0, 1164, 168, 1, 0, 0, 0, 1165, 1166, 3, 19, 0, 0, 1166, 1167, 1, 0, 0, 0, 1167, 1168, 6, 75, 0, 0, 1168, 170, 1, 0, 0, 0, 1169, 1170, 3, 21, 1, 0, 1170, 1171, 1, 0, 0, 0, 1171, 1172, 6, 76, 0, 0, 1172, 172, 1, 0, 0, 0, 1173, 1174, 3, 23, 2, 0, 1174, 1175, 1, 0, 0, 0, 1175, 1176, 6, 77, 0, 0, 1176, 174, 1, 0, 0, 0, 1177, 1178, 3, 303, 142, 0, 1178, 1179, 1, 0, 0, 0, 1179, 1180, 6, 78, 38, 0, 1180, 1181, 6, 78, 39, 0, 1181, 176, 1, 0, 0, 0, 1182, 1183, 3, 185, 83, 0, 1183, 1184, 1, 0, 0, 0, 1184, 1185, 6, 79, 17, 0, 1185, 1186, 6, 79, 18, 0, 1186, 178, 1, 0, 0, 0, 1187, 1188, 3, 23, 2, 0, 1188, 1189, 1, 0, 0, 0, 1189, 1190, 6, 80, 0, 0, 1190, 180, 1, 0, 0, 0, 1191, 1192, 3, 19, 0, 0, 1192, 1193, 1, 0, 0, 0, 1193, 1194, 6, 81, 0, 0, 1194, 182, 1, 0, 0, 0, 1195, 1196, 3, 21, 1, 0, 1196, 1197, 1, 0, 0, 0, 1197, 1198, 6, 82, 0, 0, 1198, 184, 1, 0, 0, 0, 1199, 1200, 5, 124, 0, 0, 1200, 1201, 1, 0, 0, 0, 1201, 1202, 6, 83, 18, 0, 1202, 186, 1, 0, 0, 0, 1203, 1204, 7, 26, 0, 0, 1204, 188, 1, 0, 0, 0, 1205, 1206, 7, 27, 0, 0, 1206, 190, 1, 0, 0, 0, 1207, 1208, 5, 92, 0, 0, 1208, 1209, 7, 28, 0, 0, 1209, 192, 1, 0, 0, 0, 1210, 1211, 8, 29, 0, 0, 1211, 194, 1, 0, 0, 0, 1212, 1214, 7, 7, 0, 0, 1213, 1215, 7, 30, 0, 0, 1214, 1213, 1, 0, 0, 0, 1214, 1215, 1, 0, 0, 0, 1215, 1217, 1, 0, 0, 0, 1216, 1218, 3, 187, 84, 0, 1217, 1216, 1, 0, 0, 0, 1218, 1219, 1, 0, 0, 0, 1219, 1217, 1, 0, 0, 0, 1219, 1220, 1, 0, 0, 0, 1220, 196, 1, 0, 0, 0, 1221, 1222, 5, 64, 0, 0, 1222, 198, 1, 0, 0, 0, 1223, 1224, 5, 96, 0, 0, 1224, 200, 1, 0, 0, 0, 1225, 1229, 8, 31, 0, 0, 1226, 1227, 5, 96, 0, 0, 1227, 1229, 5, 96, 0, 0, 1228, 1225, 1, 0, 0, 0, 1228, 1226, 1, 0, 0, 0, 1229, 202, 1, 0, 0, 0, 1230, 1231, 5, 95, 0, 0, 1231, 204, 1, 0, 0, 0, 1232, 1236, 3, 189, 85, 0, 1233, 1236, 3, 187, 84, 0, 1234, 1236, 3, 203, 92, 0, 1235, 1232, 1, 0, 0, 0, 1235, 1233, 1, 0, 0, 0, 1235, 1234, 1, 0, 0, 0, 1236, 206, 1, 0, 0, 0, 1237, 1242, 5, 34, 0, 0, 1238, 1241, 3, 191, 86, 0, 1239, 1241, 3, 193, 87, 0, 1240, 1238, 1, 0, 0, 0, 1240, 1239, 1, 0, 0, 0, 1241, 1244, 1, 0, 0, 0, 1242, 1240, 1, 0, 0, 0, 1242, 1243, 1, 0, 0, 0, 1243, 1245, 1, 0, 0, 0, 1244, 1242, 1, 0, 0, 0, 1245, 1267, 5, 34, 0, 0, 1246, 1247, 5, 34, 0, 0, 1247, 1248, 5, 34, 0, 0, 1248, 1249, 5, 34, 0, 0, 1249, 1253, 1, 0, 0, 0, 1250, 1252, 8, 0, 0, 0, 1251, 1250, 1, 0, 0, 0, 1252, 1255, 1, 0, 0, 0, 1253, 1254, 1, 0, 0, 0, 1253, 1251, 1, 0, 0, 0, 1254, 1256, 1, 0, 0, 0, 1255, 1253, 1, 0, 0, 0, 1256, 1257, 5, 34, 0, 0, 1257, 1258, 5, 34, 0, 0, 1258, 1259, 5, 34, 0, 0, 1259, 1261, 1, 0, 0, 0, 1260, 1262, 5, 34, 0, 0, 1261, 1260, 1, 0, 0, 0, 1261, 1262, 1, 0, 0, 0, 1262, 1264, 1, 0, 0, 0, 1263, 1265, 5, 34, 0, 0, 1264, 1263, 1, 0, 0, 0, 1264, 1265, 1, 0, 0, 0, 1265, 1267, 1, 0, 0, 0, 1266, 1237, 1, 0, 0, 0, 1266, 1246, 1, 0, 0, 0, 1267, 208, 1, 0, 0, 0, 1268, 1270, 3, 187, 84, 0, 1269, 1268, 1, 0, 0, 0, 1270, 1271, 1, 0, 0, 0, 1271, 1269, 1, 0, 0, 0, 1271, 1272, 1, 0, 0, 0, 1272, 210, 1, 0, 0, 0, 1273, 1275, 3, 187, 84, 0, 1274, 1273, 1, 0, 0, 0, 1275, 1276, 1, 0, 0, 0, 1276, 1274, 1, 0, 0, 0, 1276, 1277, 1, 0, 0, 0, 1277, 1278, 1, 0, 0, 0, 1278, 1282, 3, 231, 106, 0, 1279, 1281, 3, 187, 84, 0, 1280, 1279, 1, 0, 0, 0, 1281, 1284, 1, 0, 0, 0, 1282, 1280, 1, 0, 0, 0, 1282, 1283, 1, 0, 0, 0, 1283, 1316, 1, 0, 0, 0, 1284, 1282, 1, 0, 0, 0, 1285, 1287, 3, 231, 106, 0, 1286, 1288, 3, 187, 84, 0, 1287, 1286, 1, 0, 0, 0, 1288, 1289, 1, 0, 0, 0, 1289, 1287, 1, 0, 0, 0, 1289, 1290, 1, 0, 0, 0, 1290, 1316, 1, 0, 0, 0, 1291, 1293, 3, 187, 84, 0, 1292, 1291, 1, 0, 0, 0, 1293, 1294, 1, 0, 0, 0, 1294, 1292, 1, 0, 0, 0, 1294, 1295, 1, 0, 0, 0, 1295, 1303, 1, 0, 0, 0, 1296, 1300, 3, 231, 106, 0, 1297, 1299, 3, 187, 84, 0, 1298, 1297, 1, 0, 0, 0, 1299, 1302, 1, 0, 0, 0, 1300, 1298, 1, 0, 0, 0, 1300, 1301, 1, 0, 0, 0, 1301, 1304, 1, 0, 0, 0, 1302, 1300, 1, 0, 0, 0, 1303, 1296, 1, 0, 0, 0, 1303, 1304, 1, 0, 0, 0, 1304, 1305, 1, 0, 0, 0, 1305, 1306, 3, 195, 88, 0, 1306, 1316, 1, 0, 0, 0, 1307, 1309, 3, 231, 106, 0, 1308, 1310, 3, 187, 84, 0, 1309, 1308, 1, 0, 0, 0, 1310, 1311, 1, 0, 0, 0, 1311, 1309, 1, 0, 0, 0, 1311, 1312, 1, 0, 0, 0, 1312, 1313, 1, 0, 0, 0, 1313, 1314, 3, 195, 88, 0, 1314, 1316, 1, 0, 0, 0, 1315, 1274, 1, 0, 0, 0, 1315, 1285, 1, 0, 0, 0, 1315, 1292, 1, 0, 0, 0, 1315, 1307, 1, 0, 0, 0, 1316, 212, 1, 0, 0, 0, 1317, 1318, 7, 4, 0, 0, 1318, 1319, 7, 5, 0, 0, 1319, 1320, 7, 16, 0, 0, 1320, 214, 1, 0, 0, 0, 1321, 1322, 7, 4, 0, 0, 1322, 1323, 7, 17, 0, 0, 1323, 1324, 7, 2, 0, 0, 1324, 216, 1, 0, 0, 0, 1325, 1326, 5, 61, 0, 0, 1326, 218, 1, 0, 0, 0, 1327, 1328, 7, 32, 0, 0, 1328, 1329, 7, 33, 0, 0, 1329, 220, 1, 0, 0, 0, 1330, 1331, 5, 58, 0, 0, 1331, 1332, 5, 58, 0, 0, 1332, 222, 1, 0, 0, 0, 1333, 1334, 5, 58, 0, 0, 1334, 224, 1, 0, 0, 0, 1335, 1336, 5, 59, 0, 0, 1336, 226, 1, 0, 0, 0, 1337, 1338, 5, 44, 0, 0, 1338, 228, 1, 0, 0, 0, 1339, 1340, 7, 16, 0, 0, 1340, 1341, 7, 7, 0, 0, 1341, 1342, 7, 17, 0, 0, 1342, 1343, 7, 2, 0, 0, 1343, 230, 1, 0, 0, 0, 1344, 1345, 5, 46, 0, 0, 1345, 232, 1, 0, 0, 0, 1346, 1347, 7, 21, 0, 0, 1347, 1348, 7, 4, 0, 0, 1348, 1349, 7, 14, 0, 0, 1349, 1350, 7, 17, 0, 0, 1350, 1351, 7, 7, 0, 0, 1351, 234, 1, 0, 0, 0, 1352, 1353, 7, 21, 0, 0, 1353, 1354, 7, 10, 0, 0, 1354, 1355, 7, 12, 0, 0, 1355, 1356, 7, 17, 0, 0, 1356, 1357, 7, 11, 0, 0, 1357, 236, 1, 0, 0, 0, 1358, 1359, 7, 10, 0, 0, 1359, 1360, 7, 5, 0, 0, 1360, 238, 1, 0, 0, 0, 1361, 1362, 7, 10, 0, 0, 1362, 1363, 7, 17, 0, 0, 1363, 240, 1, 0, 0, 0, 1364, 1365, 7, 14, 0, 0, 1365, 1366, 7, 4, 0, 0, 1366, 1367, 7, 17, 0, 0, 1367, 1368, 7, 11, 0, 0, 1368, 242, 1, 0, 0, 0, 1369, 1370, 7, 14, 0, 0, 1370, 1371, 7, 10, 0, 0, 1371, 1372, 7, 19, 0, 0, 1372, 1373, 7, 7, 0, 0, 1373, 244, 1, 0, 0, 0, 1374, 1375, 7, 5, 0, 0, 1375, 1376, 7, 9, 0, 0, 1376, 1377, 7, 11, 0, 0, 1377, 246, 1, 0, 0, 0, 1378, 1379, 7, 5, 0, 0, 1379, 1380, 7, 22, 0, 0, 1380, 1381, 7, 14, 0, 0, 1381, 1382, 7, 14, 0, 0, 1382, 248, 1, 0, 0, 0, 1383, 1384, 7, 5, 0, 0, 1384, 1385, 7, 22, 0, 0, 1385, 1386, 7, 14, 0, 0, 1386, 1387, 7, 14, 0, 0, 1387, 1388, 7, 17, 0, 0, 1388, 250, 1, 0, 0, 0, 1389, 1390, 7, 9, 0, 0, 1390, 1391, 7, 5, 0, 0, 1391, 252, 1, 0, 0, 0, 1392, 1393, 7, 9, 0, 0, 1393, 1394, 7, 12, 0, 0, 1394, 254, 1, 0, 0, 0, 1395, 1396, 5, 63, 0, 0, 1396, 256, 1, 0, 0, 0, 1397, 1398, 7, 12, 0, 0, 1398, 1399, 7, 14, 0, 0, 1399, 1400, 7, 10, 0, 0, 1400, 1401, 7, 19, 0, 0, 1401, 1402, 7, 7, 0, 0, 1402, 258, 1, 0, 0, 0, 1403, 1404, 7, 11, 0, 0, 1404, 1405, 7, 12, 0, 0, 1405, 1406, 7, 22, 0, 0, 1406, 1407, 7, 7, 0, 0, 1407, 260, 1, 0, 0, 0, 1408, 1409, 7, 20, 0, 0, 1409, 1410, 7, 10, 0, 0, 1410, 1411, 7, 11, 0, 0, 1411, 1412, 7, 3, 0, 0, 1412, 262, 1, 0, 0, 0, 1413, 1414, 5, 61, 0, 0, 1414, 1415, 5, 61, 0, 0, 1415, 264, 1, 0, 0, 0, 1416, 1417, 5, 61, 0, 0, 1417, 1418, 5, 126, 0, 0, 1418, 266, 1, 0, 0, 0, 1419, 1420, 5, 33, 0, 0, 1420, 1421, 5, 61, 0, 0, 1421, 268, 1, 0, 0, 0, 1422, 1423, 5, 60, 0, 0, 1423, 270, 1, 0, 0, 0, 1424, 1425, 5, 60, 0, 0, 1425, 1426, 5, 61, 0, 0, 1426, 272, 1, 0, 0, 0, 1427, 1428, 5, 62, 0, 0, 1428, 274, 1, 0, 0, 0, 1429, 1430, 5, 62, 0, 0, 1430, 1431, 5, 61, 0, 0, 1431, 276, 1, 0, 0, 0, 1432, 1433, 5, 43, 0, 0, 1433, 278, 1, 0, 0, 0, 1434, 1435, 5, 45, 0, 0, 1435, 280, 1, 0, 0, 0, 1436, 1437, 5, 42, 0, 0, 1437, 282, 1, 0, 0, 0, 1438, 1439, 5, 47, 0, 0, 1439, 284, 1, 0, 0, 0, 1440, 1441, 5, 37, 0, 0, 1441, 286, 1, 0, 0, 0, 1442, 1443, 5, 123, 0, 0, 1443, 288, 1, 0, 0, 0, 1444, 1445, 5, 125, 0, 0, 1445, 290, 1, 0, 0, 0, 1446, 1447, 5, 63, 0, 0, 1447, 1448, 5, 63, 0, 0, 1448, 292, 1, 0, 0, 0, 1449, 1450, 3, 51, 16, 0, 1450, 1451, 1, 0, 0, 0, 1451, 1452, 6, 137, 40, 0, 1452, 294, 1, 0, 0, 0, 1453, 1456, 3, 255, 118, 0, 1454, 1457, 3, 189, 85, 0, 1455, 1457, 3, 203, 92, 0, 1456, 1454, 1, 0, 0, 0, 1456, 1455, 1, 0, 0, 0, 1457, 1461, 1, 0, 0, 0, 1458, 1460, 3, 205, 93, 0, 1459, 1458, 1, 0, 0, 0, 1460, 1463, 1, 0, 0, 0, 1461, 1459, 1, 0, 0, 0, 1461, 1462, 1, 0, 0, 0, 1462, 1471, 1, 0, 0, 0, 1463, 1461, 1, 0, 0, 0, 1464, 1466, 3, 255, 118, 0, 1465, 1467, 3, 187, 84, 0, 1466, 1465, 1, 0, 0, 0, 1467, 1468, 1, 0, 0, 0, 1468, 1466, 1, 0, 0, 0, 1468, 1469, 1, 0, 0, 0, 1469, 1471, 1, 0, 0, 0, 1470, 1453, 1, 0, 0, 0, 1470, 1464, 1, 0, 0, 0, 1471, 296, 1, 0, 0, 0, 1472, 1475, 3, 291, 136, 0, 1473, 1476, 3, 189, 85, 0, 1474, 1476, 3, 203, 92, 0, 1475, 1473, 1, 0, 0, 0, 1475, 1474, 1, 0, 0, 0, 1476, 1480, 1, 0, 0, 0, 1477, 1479, 3, 205, 93, 0, 1478, 1477, 1, 0, 0, 0, 1479, 1482, 1, 0, 0, 0, 1480, 1478, 1, 0, 0, 0, 1480, 1481, 1, 0, 0, 0, 1481, 1490, 1, 0, 0, 0, 1482, 1480, 1, 0, 0, 0, 1483, 1485, 3, 291, 136, 0, 1484, 1486, 3, 187, 84, 0, 1485, 1484, 1, 0, 0, 0, 1486, 1487, 1, 0, 0, 0, 1487, 1485, 1, 0, 0, 0, 1487, 1488, 1, 0, 0, 0, 1488, 1490, 1, 0, 0, 0, 1489, 1472, 1, 0, 0, 0, 1489, 1483, 1, 0, 0, 0, 1490, 298, 1, 0, 0, 0, 1491, 1492, 5, 91, 0, 0, 1492, 1493, 1, 0, 0, 0, 1493, 1494, 6, 140, 4, 0, 1494, 1495, 6, 140, 4, 0, 1495, 300, 1, 0, 0, 0, 1496, 1497, 5, 93, 0, 0, 1497, 1498, 1, 0, 0, 0, 1498, 1499, 6, 141, 18, 0, 1499, 1500, 6, 141, 18, 0, 1500, 302, 1, 0, 0, 0, 1501, 1502, 5, 40, 0, 0, 1502, 1503, 1, 0, 0, 0, 1503, 1504, 6, 142, 4, 0, 1504, 1505, 6, 142, 4, 0, 1505, 304, 1, 0, 0, 0, 1506, 1507, 5, 41, 0, 0, 1507, 1508, 1, 0, 0, 0, 1508, 1509, 6, 143, 18, 0, 1509, 1510, 6, 143, 18, 0, 1510, 306, 1, 0, 0, 0, 1511, 1515, 3, 189, 85, 0, 1512, 1514, 3, 205, 93, 0, 1513, 1512, 1, 0, 0, 0, 1514, 1517, 1, 0, 0, 0, 1515, 1513, 1, 0, 0, 0, 1515, 1516, 1, 0, 0, 0, 1516, 1528, 1, 0, 0, 0, 1517, 1515, 1, 0, 0, 0, 1518, 1521, 3, 203, 92, 0, 1519, 1521, 3, 197, 89, 0, 1520, 1518, 1, 0, 0, 0, 1520, 1519, 1, 0, 0, 0, 1521, 1523, 1, 0, 0, 0, 1522, 1524, 3, 205, 93, 0, 1523, 1522, 1, 0, 0, 0, 1524, 1525, 1, 0, 0, 0, 1525, 1523, 1, 0, 0, 0, 1525, 1526, 1, 0, 0, 0, 1526, 1528, 1, 0, 0, 0, 1527, 1511, 1, 0, 0, 0, 1527, 1520, 1, 0, 0, 0, 1528, 308, 1, 0, 0, 0, 1529, 1531, 3, 199, 90, 0, 1530, 1532, 3, 201, 91, 0, 1531, 1530, 1, 0, 0, 0, 1532, 1533, 1, 0, 0, 0, 1533, 1531, 1, 0, 0, 0, 1533, 1534, 1, 0, 0, 0, 1534, 1535, 1, 0, 0, 0, 1535, 1536, 3, 199, 90, 0, 1536, 310, 1, 0, 0, 0, 1537, 1538, 3, 309, 145, 0, 1538, 312, 1, 0, 0, 0, 1539, 1540, 3, 19, 0, 0, 1540, 1541, 1, 0, 0, 0, 1541, 1542, 6, 147, 0, 0, 1542, 314, 1, 0, 0, 0, 1543, 1544, 3, 21, 1, 0, 1544, 1545, 1, 0, 0, 0, 1545, 1546, 6, 148, 0, 0, 1546, 316, 1, 0, 0, 0, 1547, 1548, 3, 23, 2, 0, 1548, 1549, 1, 0, 0, 0, 1549, 1550, 6, 149, 0, 0, 1550, 318, 1, 0, 0, 0, 1551, 1552, 3, 185, 83, 0, 1552, 1553, 1, 0, 0, 0, 1553, 1554, 6, 150, 17, 0, 1554, 1555, 6, 150, 18, 0, 1555, 320, 1, 0, 0, 0, 1556, 1557, 3, 223, 102, 0, 1557, 1558, 1, 0, 0, 0, 1558, 1559, 6, 151, 41, 0, 1559, 322, 1, 0, 0, 0, 1560, 1561, 3, 221, 101, 0, 1561, 1562, 1, 0, 0, 0, 1562, 1563, 6, 152, 42, 0, 1563, 324, 1, 0, 0, 0, 1564, 1565, 3, 227, 104, 0, 1565, 1566, 1, 0, 0, 0, 1566, 1567, 6, 153, 23, 0, 1567, 326, 1, 0, 0, 0, 1568, 1569, 3, 217, 99, 0, 1569, 1570, 1, 0, 0, 0, 1570, 1571, 6, 154, 32, 0, 1571, 328, 1, 0, 0, 0, 1572, 1573, 7, 15, 0, 0, 1573, 1574, 7, 7, 0, 0, 1574, 1575, 7, 11, 0, 0, 1575, 1576, 7, 4, 0, 0, 1576, 1577, 7, 16, 0, 0, 1577, 1578, 7, 4, 0, 0, 1578, 1579, 7, 11, 0, 0, 1579, 1580, 7, 4, 0, 0, 1580, 330, 1, 0, 0, 0, 1581, 1582, 3, 305, 143, 0, 1582, 1583, 1, 0, 0, 0, 1583, 1584, 6, 156, 19, 0, 1584, 1585, 6, 156, 18, 0, 1585, 1586, 6, 156, 18, 0, 1586, 332, 1, 0, 0, 0, 1587, 1588, 3, 303, 142, 0, 1588, 1589, 1, 0, 0, 0, 1589, 1590, 6, 157, 38, 0, 1590, 1591, 6, 157, 39, 0, 1591, 334, 1, 0, 0, 0, 1592, 1596, 8, 34, 0, 0, 1593, 1594, 5, 47, 0, 0, 1594, 1596, 8, 35, 0, 0, 1595, 1592, 1, 0, 0, 0, 1595, 1593, 1, 0, 0, 0, 1596, 336, 1, 0, 0, 0, 1597, 1599, 3, 335, 158, 0, 1598, 1597, 1, 0, 0, 0, 1599, 1600, 1, 0, 0, 0, 1600, 1598, 1, 0, 0, 0, 1600, 1601, 1, 0, 0, 0, 1601, 338, 1, 0, 0, 0, 1602, 1603, 3, 337, 159, 0, 1603, 1604, 1, 0, 0, 0, 1604, 1605, 6, 160, 43, 0, 1605, 340, 1, 0, 0, 0, 1606, 1607, 3, 207, 94, 0, 1607, 1608, 1, 0, 0, 0, 1608, 1609, 6, 161, 31, 0, 1609, 342, 1, 0, 0, 0, 1610, 1611, 3, 19, 0, 0, 1611, 1612, 1, 0, 0, 0, 1612, 1613, 6, 162, 0, 0, 1613, 344, 1, 0, 0, 0, 1614, 1615, 3, 21, 1, 0, 1615, 1616, 1, 0, 0, 0, 1616, 1617, 6, 163, 0, 0, 1617, 346, 1, 0, 0, 0, 1618, 1619, 3, 23, 2, 0, 1619, 1620, 1, 0, 0, 0, 1620, 1621, 6, 164, 0, 0, 1621, 348, 1, 0, 0, 0, 1622, 1623, 3, 303, 142, 0, 1623, 1624, 1, 0, 0, 0, 1624, 1625, 6, 165, 38, 0, 1625, 1626, 6, 165, 39, 0, 1626, 350, 1, 0, 0, 0, 1627, 1628, 3, 305, 143, 0, 1628, 1629, 1, 0, 0, 0, 1629, 1630, 6, 166, 19, 0, 1630, 1631, 6, 166, 18, 0, 1631, 1632, 6, 166, 18, 0, 1632, 352, 1, 0, 0, 0, 1633, 1634, 3, 185, 83, 0, 1634, 1635, 1, 0, 0, 0, 1635, 1636, 6, 167, 17, 0, 1636, 1637, 6, 167, 18, 0, 1637, 354, 1, 0, 0, 0, 1638, 1639, 3, 23, 2, 0, 1639, 1640, 1, 0, 0, 0, 1640, 1641, 6, 168, 0, 0, 1641, 356, 1, 0, 0, 0, 1642, 1643, 3, 19, 0, 0, 1643, 1644, 1, 0, 0, 0, 1644, 1645, 6, 169, 0, 0, 1645, 358, 1, 0, 0, 0, 1646, 1647, 3, 21, 1, 0, 1647, 1648, 1, 0, 0, 0, 1648, 1649, 6, 170, 0, 0, 1649, 360, 1, 0, 0, 0, 1650, 1651, 3, 185, 83, 0, 1651, 1652, 1, 0, 0, 0, 1652, 1653, 6, 171, 17, 0, 1653, 1654, 6, 171, 18, 0, 1654, 362, 1, 0, 0, 0, 1655, 1656, 3, 305, 143, 0, 1656, 1657, 1, 0, 0, 0, 1657, 1658, 6, 172, 19, 0, 1658, 1659, 6, 172, 18, 0, 1659, 1660, 6, 172, 18, 0, 1660, 364, 1, 0, 0, 0, 1661, 1662, 7, 6, 0, 0, 1662, 1663, 7, 12, 0, 0, 1663, 1664, 7, 9, 0, 0, 1664, 1665, 7, 22, 0, 0, 1665, 1666, 7, 8, 0, 0, 1666, 366, 1, 0, 0, 0, 1667, 1668, 7, 17, 0, 0, 1668, 1669, 7, 2, 0, 0, 1669, 1670, 7, 9, 0, 0, 1670, 1671, 7, 12, 0, 0, 1671, 1672, 7, 7, 0, 0, 1672, 368, 1, 0, 0, 0, 1673, 1674, 7, 19, 0, 0, 1674, 1675, 7, 7, 0, 0, 1675, 1676, 7, 33, 0, 0, 1676, 370, 1, 0, 0, 0, 1677, 1678, 3, 261, 121, 0, 1678, 1679, 1, 0, 0, 0, 1679, 1680, 6, 176, 29, 0, 1680, 1681, 6, 176, 18, 0, 1681, 1682, 6, 176, 4, 0, 1682, 372, 1, 0, 0, 0, 1683, 1684, 3, 227, 104, 0, 1684, 1685, 1, 0, 0, 0, 1685, 1686, 6, 177, 23, 0, 1686, 374, 1, 0, 0, 0, 1687, 1688, 3, 231, 106, 0, 1688, 1689, 1, 0, 0, 0, 1689, 1690, 6, 178, 22, 0, 1690, 376, 1, 0, 0, 0, 1691, 1692, 3, 255, 118, 0, 1692, 1693, 1, 0, 0, 0, 1693, 1694, 6, 179, 34, 0, 1694, 378, 1, 0, 0, 0, 1695, 1696, 3, 295, 138, 0, 1696, 1697, 1, 0, 0, 0, 1697, 1698, 6, 180, 35, 0, 1698, 380, 1, 0, 0, 0, 1699, 1700, 3, 291, 136, 0, 1700, 1701, 1, 0, 0, 0, 1701, 1702, 6, 181, 36, 0, 1702, 382, 1, 0, 0, 0, 1703, 1704, 3, 297, 139, 0, 1704, 1705, 1, 0, 0, 0, 1705, 1706, 6, 182, 37, 0, 1706, 384, 1, 0, 0, 0, 1707, 1708, 3, 219, 100, 0, 1708, 1709, 1, 0, 0, 0, 1709, 1710, 6, 183, 44, 0, 1710, 386, 1, 0, 0, 0, 1711, 1712, 3, 311, 146, 0, 1712, 1713, 1, 0, 0, 0, 1713, 1714, 6, 184, 26, 0, 1714, 388, 1, 0, 0, 0, 1715, 1716, 3, 307, 144, 0, 1716, 1717, 1, 0, 0, 0, 1717, 1718, 6, 185, 27, 0, 1718, 390, 1, 0, 0, 0, 1719, 1720, 3, 19, 0, 0, 1720, 1721, 1, 0, 0, 0, 1721, 1722, 6, 186, 0, 0, 1722, 392, 1, 0, 0, 0, 1723, 1724, 3, 21, 1, 0, 1724, 1725, 1, 0, 0, 0, 1725, 1726, 6, 187, 0, 0, 1726, 394, 1, 0, 0, 0, 1727, 1728, 3, 23, 2, 0, 1728, 1729, 1, 0, 0, 0, 1729, 1730, 6, 188, 0, 0, 1730, 396, 1, 0, 0, 0, 1731, 1732, 7, 17, 0, 0, 1732, 1733, 7, 11, 0, 0, 1733, 1734, 7, 4, 0, 0, 1734, 1735, 7, 11, 0, 0, 1735, 1736, 7, 17, 0, 0, 1736, 1737, 1, 0, 0, 0, 1737, 1738, 6, 189, 18, 0, 1738, 1739, 6, 189, 4, 0, 1739, 398, 1, 0, 0, 0, 1740, 1741, 3, 19, 0, 0, 1741, 1742, 1, 0, 0, 0, 1742, 1743, 6, 190, 0, 0, 1743, 400, 1, 0, 0, 0, 1744, 1745, 3, 21, 1, 0, 1745, 1746, 1, 0, 0, 0, 1746, 1747, 6, 191, 0, 0, 1747, 402, 1, 0, 0, 0, 1748, 1749, 3, 23, 2, 0, 1749, 1750, 1, 0, 0, 0, 1750, 1751, 6, 192, 0, 0, 1751, 404, 1, 0, 0, 0, 1752, 1753, 3, 185, 83, 0, 1753, 1754, 1, 0, 0, 0, 1754, 1755, 6, 193, 17, 0, 1755, 1756, 6, 193, 18, 0, 1756, 406, 1, 0, 0, 0, 1757, 1758, 7, 36, 0, 0, 1758, 1759, 7, 9, 0, 0, 1759, 1760, 7, 10, 0, 0, 1760, 1761, 7, 5, 0, 0, 1761, 408, 1, 0, 0, 0, 1762, 1763, 3, 585, 283, 0, 1763, 1764, 1, 0, 0, 0, 1764, 1765, 6, 195, 21, 0, 1765, 410, 1, 0, 0, 0, 1766, 1767, 3, 251, 116, 0, 1767, 1768, 1, 0, 0, 0, 1768, 1769, 6, 196, 20, 0, 1769, 1770, 6, 196, 18, 0, 1770, 1771, 6, 196, 4, 0, 1771, 412, 1, 0, 0, 0, 1772, 1773, 7, 22, 0, 0, 1773, 1774, 7, 17, 0, 0, 1774, 1775, 7, 10, 0, 0, 1775, 1776, 7, 5, 0, 0, 1776, 1777, 7, 6, 0, 0, 1777, 1778, 1, 0, 0, 0, 1778, 1779, 6, 197, 18, 0, 1779, 1780, 6, 197, 4, 0, 1780, 414, 1, 0, 0, 0, 1781, 1782, 3, 337, 159, 0, 1782, 1783, 1, 0, 0, 0, 1783, 1784, 6, 198, 43, 0, 1784, 416, 1, 0, 0, 0, 1785, 1786, 3, 207, 94, 0, 1786, 1787, 1, 0, 0, 0, 1787, 1788, 6, 199, 31, 0, 1788, 418, 1, 0, 0, 0, 1789, 1790, 3, 223, 102, 0, 1790, 1791, 1, 0, 0, 0, 1791, 1792, 6, 200, 41, 0, 1792, 420, 1, 0, 0, 0, 1793, 1794, 3, 19, 0, 0, 1794, 1795, 1, 0, 0, 0, 1795, 1796, 6, 201, 0, 0, 1796, 422, 1, 0, 0, 0, 1797, 1798, 3, 21, 1, 0, 1798, 1799, 1, 0, 0, 0, 1799, 1800, 6, 202, 0, 0, 1800, 424, 1, 0, 0, 0, 1801, 1802, 3, 23, 2, 0, 1802, 1803, 1, 0, 0, 0, 1803, 1804, 6, 203, 0, 0, 1804, 426, 1, 0, 0, 0, 1805, 1806, 3, 185, 83, 0, 1806, 1807, 1, 0, 0, 0, 1807, 1808, 6, 204, 17, 0, 1808, 1809, 6, 204, 18, 0, 1809, 428, 1, 0, 0, 0, 1810, 1811, 3, 305, 143, 0, 1811, 1812, 1, 0, 0, 0, 1812, 1813, 6, 205, 19, 0, 1813, 1814, 6, 205, 18, 0, 1814, 1815, 6, 205, 18, 0, 1815, 430, 1, 0, 0, 0, 1816, 1817, 3, 223, 102, 0, 1817, 1818, 1, 0, 0, 0, 1818, 1819, 6, 206, 41, 0, 1819, 432, 1, 0, 0, 0, 1820, 1821, 3, 227, 104, 0, 1821, 1822, 1, 0, 0, 0, 1822, 1823, 6, 207, 23, 0, 1823, 434, 1, 0, 0, 0, 1824, 1825, 3, 231, 106, 0, 1825, 1826, 1, 0, 0, 0, 1826, 1827, 6, 208, 22, 0, 1827, 436, 1, 0, 0, 0, 1828, 1829, 3, 251, 116, 0, 1829, 1830, 1, 0, 0, 0, 1830, 1831, 6, 209, 20, 0, 1831, 1832, 6, 209, 45, 0, 1832, 438, 1, 0, 0, 0, 1833, 1834, 3, 337, 159, 0, 1834, 1835, 1, 0, 0, 0, 1835, 1836, 6, 210, 43, 0, 1836, 440, 1, 0, 0, 0, 1837, 1838, 3, 207, 94, 0, 1838, 1839, 1, 0, 0, 0, 1839, 1840, 6, 211, 31, 0, 1840, 442, 1, 0, 0, 0, 1841, 1842, 3, 19, 0, 0, 1842, 1843, 1, 0, 0, 0, 1843, 1844, 6, 212, 0, 0, 1844, 444, 1, 0, 0, 0, 1845, 1846, 3, 21, 1, 0, 1846, 1847, 1, 0, 0, 0, 1847, 1848, 6, 213, 0, 0, 1848, 446, 1, 0, 0, 0, 1849, 1850, 3, 23, 2, 0, 1850, 1851, 1, 0, 0, 0, 1851, 1852, 6, 214, 0, 0, 1852, 448, 1, 0, 0, 0, 1853, 1854, 3, 185, 83, 0, 1854, 1855, 1, 0, 0, 0, 1855, 1856, 6, 215, 17, 0, 1856, 1857, 6, 215, 18, 0, 1857, 1858, 6, 215, 18, 0, 1858, 450, 1, 0, 0, 0, 1859, 1860, 3, 305, 143, 0, 1860, 1861, 1, 0, 0, 0, 1861, 1862, 6, 216, 19, 0, 1862, 1863, 6, 216, 18, 0, 1863, 1864, 6, 216, 18, 0, 1864, 1865, 6, 216, 18, 0, 1865, 452, 1, 0, 0, 0, 1866, 1867, 3, 227, 104, 0, 1867, 1868, 1, 0, 0, 0, 1868, 1869, 6, 217, 23, 0, 1869, 454, 1, 0, 0, 0, 1870, 1871, 3, 231, 106, 0, 1871, 1872, 1, 0, 0, 0, 1872, 1873, 6, 218, 22, 0, 1873, 456, 1, 0, 0, 0, 1874, 1875, 3, 517, 249, 0, 1875, 1876, 1, 0, 0, 0, 1876, 1877, 6, 219, 33, 0, 1877, 458, 1, 0, 0, 0, 1878, 1879, 3, 19, 0, 0, 1879, 1880, 1, 0, 0, 0, 1880, 1881, 6, 220, 0, 0, 1881, 460, 1, 0, 0, 0, 1882, 1883, 3, 21, 1, 0, 1883, 1884, 1, 0, 0, 0, 1884, 1885, 6, 221, 0, 0, 1885, 462, 1, 0, 0, 0, 1886, 1887, 3, 23, 2, 0, 1887, 1888, 1, 0, 0, 0, 1888, 1889, 6, 222, 0, 0, 1889, 464, 1, 0, 0, 0, 1890, 1891, 3, 185, 83, 0, 1891, 1892, 1, 0, 0, 0, 1892, 1893, 6, 223, 17, 0, 1893, 1894, 6, 223, 18, 0, 1894, 466, 1, 0, 0, 0, 1895, 1896, 3, 305, 143, 0, 1896, 1897, 1, 0, 0, 0, 1897, 1898, 6, 224, 19, 0, 1898, 1899, 6, 224, 18, 0, 1899, 1900, 6, 224, 18, 0, 1900, 468, 1, 0, 0, 0, 1901, 1902, 3, 299, 140, 0, 1902, 1903, 1, 0, 0, 0, 1903, 1904, 6, 225, 24, 0, 1904, 470, 1, 0, 0, 0, 1905, 1906, 3, 301, 141, 0, 1906, 1907, 1, 0, 0, 0, 1907, 1908, 6, 226, 25, 0, 1908, 472, 1, 0, 0, 0, 1909, 1910, 3, 231, 106, 0, 1910, 1911, 1, 0, 0, 0, 1911, 1912, 6, 227, 22, 0, 1912, 474, 1, 0, 0, 0, 1913, 1914, 3, 255, 118, 0, 1914, 1915, 1, 0, 0, 0, 1915, 1916, 6, 228, 34, 0, 1916, 476, 1, 0, 0, 0, 1917, 1918, 3, 295, 138, 0, 1918, 1919, 1, 0, 0, 0, 1919, 1920, 6, 229, 35, 0, 1920, 478, 1, 0, 0, 0, 1921, 1922, 3, 291, 136, 0, 1922, 1923, 1, 0, 0, 0, 1923, 1924, 6, 230, 36, 0, 1924, 480, 1, 0, 0, 0, 1925, 1926, 3, 297, 139, 0, 1926, 1927, 1, 0, 0, 0, 1927, 1928, 6, 231, 37, 0, 1928, 482, 1, 0, 0, 0, 1929, 1930, 3, 311, 146, 0, 1930, 1931, 1, 0, 0, 0, 1931, 1932, 6, 232, 26, 0, 1932, 484, 1, 0, 0, 0, 1933, 1934, 3, 307, 144, 0, 1934, 1935, 1, 0, 0, 0, 1935, 1936, 6, 233, 27, 0, 1936, 486, 1, 0, 0, 0, 1937, 1938, 3, 19, 0, 0, 1938, 1939, 1, 0, 0, 0, 1939, 1940, 6, 234, 0, 0, 1940, 488, 1, 0, 0, 0, 1941, 1942, 3, 21, 1, 0, 1942, 1943, 1, 0, 0, 0, 1943, 1944, 6, 235, 0, 0, 1944, 490, 1, 0, 0, 0, 1945, 1946, 3, 23, 2, 0, 1946, 1947, 1, 0, 0, 0, 1947, 1948, 6, 236, 0, 0, 1948, 492, 1, 0, 0, 0, 1949, 1950, 3, 185, 83, 0, 1950, 1951, 1, 0, 0, 0, 1951, 1952, 6, 237, 17, 0, 1952, 1953, 6, 237, 18, 0, 1953, 494, 1, 0, 0, 0, 1954, 1955, 3, 305, 143, 0, 1955, 1956, 1, 0, 0, 0, 1956, 1957, 6, 238, 19, 0, 1957, 1958, 6, 238, 18, 0, 1958, 1959, 6, 238, 18, 0, 1959, 496, 1, 0, 0, 0, 1960, 1961, 3, 231, 106, 0, 1961, 1962, 1, 0, 0, 0, 1962, 1963, 6, 239, 22, 0, 1963, 498, 1, 0, 0, 0, 1964, 1965, 3, 299, 140, 0, 1965, 1966, 1, 0, 0, 0, 1966, 1967, 6, 240, 24, 0, 1967, 500, 1, 0, 0, 0, 1968, 1969, 3, 301, 141, 0, 1969, 1970, 1, 0, 0, 0, 1970, 1971, 6, 241, 25, 0, 1971, 502, 1, 0, 0, 0, 1972, 1973, 3, 227, 104, 0, 1973, 1974, 1, 0, 0, 0, 1974, 1975, 6, 242, 23, 0, 1975, 504, 1, 0, 0, 0, 1976, 1977, 3, 255, 118, 0, 1977, 1978, 1, 0, 0, 0, 1978, 1979, 6, 243, 34, 0, 1979, 506, 1, 0, 0, 0, 1980, 1981, 3, 295, 138, 0, 1981, 1982, 1, 0, 0, 0, 1982, 1983, 6, 244, 35, 0, 1983, 508, 1, 0, 0, 0, 1984, 1985, 3, 291, 136, 0, 1985, 1986, 1, 0, 0, 0, 1986, 1987, 6, 245, 36, 0, 1987, 510, 1, 0, 0, 0, 1988, 1989, 3, 297, 139, 0, 1989, 1990, 1, 0, 0, 0, 1990, 1991, 6, 246, 37, 0, 1991, 512, 1, 0, 0, 0, 1992, 1997, 3, 189, 85, 0, 1993, 1997, 3, 187, 84, 0, 1994, 1997, 3, 203, 92, 0, 1995, 1997, 3, 281, 131, 0, 1996, 1992, 1, 0, 0, 0, 1996, 1993, 1, 0, 0, 0, 1996, 1994, 1, 0, 0, 0, 1996, 1995, 1, 0, 0, 0, 1997, 514, 1, 0, 0, 0, 1998, 2001, 3, 189, 85, 0, 1999, 2001, 3, 281, 131, 0, 2000, 1998, 1, 0, 0, 0, 2000, 1999, 1, 0, 0, 0, 2001, 2005, 1, 0, 0, 0, 2002, 2004, 3, 513, 247, 0, 2003, 2002, 1, 0, 0, 0, 2004, 2007, 1, 0, 0, 0, 2005, 2003, 1, 0, 0, 0, 2005, 2006, 1, 0, 0, 0, 2006, 2018, 1, 0, 0, 0, 2007, 2005, 1, 0, 0, 0, 2008, 2011, 3, 203, 92, 0, 2009, 2011, 3, 197, 89, 0, 2010, 2008, 1, 0, 0, 0, 2010, 2009, 1, 0, 0, 0, 2011, 2013, 1, 0, 0, 0, 2012, 2014, 3, 513, 247, 0, 2013, 2012, 1, 0, 0, 0, 2014, 2015, 1, 0, 0, 0, 2015, 2013, 1, 0, 0, 0, 2015, 2016, 1, 0, 0, 0, 2016, 2018, 1, 0, 0, 0, 2017, 2000, 1, 0, 0, 0, 2017, 2010, 1, 0, 0, 0, 2018, 516, 1, 0, 0, 0, 2019, 2022, 3, 515, 248, 0, 2020, 2022, 3, 309, 145, 0, 2021, 2019, 1, 0, 0, 0, 2021, 2020, 1, 0, 0, 0, 2022, 2023, 1, 0, 0, 0, 2023, 2021, 1, 0, 0, 0, 2023, 2024, 1, 0, 0, 0, 2024, 518, 1, 0, 0, 0, 2025, 2026, 3, 19, 0, 0, 2026, 2027, 1, 0, 0, 0, 2027, 2028, 6, 250, 0, 0, 2028, 520, 1, 0, 0, 0, 2029, 2030, 3, 21, 1, 0, 2030, 2031, 1, 0, 0, 0, 2031, 2032, 6, 251, 0, 0, 2032, 522, 1, 0, 0, 0, 2033, 2034, 3, 23, 2, 0, 2034, 2035, 1, 0, 0, 0, 2035, 2036, 6, 252, 0, 0, 2036, 524, 1, 0, 0, 0, 2037, 2038, 3, 307, 144, 0, 2038, 2039, 1, 0, 0, 0, 2039, 2040, 6, 253, 27, 0, 2040, 526, 1, 0, 0, 0, 2041, 2042, 3, 311, 146, 0, 2042, 2043, 1, 0, 0, 0, 2043, 2044, 6, 254, 26, 0, 2044, 528, 1, 0, 0, 0, 2045, 2046, 3, 217, 99, 0, 2046, 2047, 1, 0, 0, 0, 2047, 2048, 6, 255, 32, 0, 2048, 530, 1, 0, 0, 0, 2049, 2050, 3, 295, 138, 0, 2050, 2051, 1, 0, 0, 0, 2051, 2052, 6, 256, 35, 0, 2052, 532, 1, 0, 0, 0, 2053, 2054, 3, 337, 159, 0, 2054, 2055, 1, 0, 0, 0, 2055, 2056, 6, 257, 43, 0, 2056, 534, 1, 0, 0, 0, 2057, 2058, 3, 207, 94, 0, 2058, 2059, 1, 0, 0, 0, 2059, 2060, 6, 258, 31, 0, 2060, 536, 1, 0, 0, 0, 2061, 2062, 3, 223, 102, 0, 2062, 2063, 1, 0, 0, 0, 2063, 2064, 6, 259, 41, 0, 2064, 538, 1, 0, 0, 0, 2065, 2066, 3, 221, 101, 0, 2066, 2067, 1, 0, 0, 0, 2067, 2068, 6, 260, 42, 0, 2068, 540, 1, 0, 0, 0, 2069, 2070, 3, 227, 104, 0, 2070, 2071, 1, 0, 0, 0, 2071, 2072, 6, 261, 23, 0, 2072, 542, 1, 0, 0, 0, 2073, 2074, 3, 185, 83, 0, 2074, 2075, 1, 0, 0, 0, 2075, 2076, 6, 262, 17, 0, 2076, 2077, 6, 262, 18, 0, 2077, 544, 1, 0, 0, 0, 2078, 2079, 3, 303, 142, 0, 2079, 2080, 6, 263, 46, 0, 2080, 2081, 1, 0, 0, 0, 2081, 2082, 6, 263, 38, 0, 2082, 546, 1, 0, 0, 0, 2083, 2084, 5, 41, 0, 0, 2084, 2085, 4, 264, 6, 0, 2085, 2086, 6, 264, 47, 0, 2086, 2087, 1, 0, 0, 0, 2087, 2088, 6, 264, 19, 0, 2088, 548, 1, 0, 0, 0, 2089, 2090, 5, 41, 0, 0, 2090, 2091, 4, 265, 7, 0, 2091, 2092, 6, 265, 48, 0, 2092, 2093, 1, 0, 0, 0, 2093, 2094, 6, 265, 19, 0, 2094, 2095, 6, 265, 18, 0, 2095, 550, 1, 0, 0, 0, 2096, 2097, 3, 19, 0, 0, 2097, 2098, 1, 0, 0, 0, 2098, 2099, 6, 266, 0, 0, 2099, 552, 1, 0, 0, 0, 2100, 2101, 3, 21, 1, 0, 2101, 2102, 1, 0, 0, 0, 2102, 2103, 6, 267, 0, 0, 2103, 554, 1, 0, 0, 0, 2104, 2105, 3, 23, 2, 0, 2105, 2106, 1, 0, 0, 0, 2106, 2107, 6, 268, 0, 0, 2107, 556, 1, 0, 0, 0, 2108, 2112, 5, 35, 0, 0, 2109, 2111, 8, 0, 0, 0, 2110, 2109, 1, 0, 0, 0, 2111, 2114, 1, 0, 0, 0, 2112, 2110, 1, 0, 0, 0, 2112, 2113, 1, 0, 0, 0, 2113, 2116, 1, 0, 0, 0, 2114, 2112, 1, 0, 0, 0, 2115, 2117, 5, 13, 0, 0, 2116, 2115, 1, 0, 0, 0, 2116, 2117, 1, 0, 0, 0, 2117, 2119, 1, 0, 0, 0, 2118, 2120, 5, 10, 0, 0, 2119, 2118, 1, 0, 0, 0, 2119, 2120, 1, 0, 0, 0, 2120, 558, 1, 0, 0, 0, 2121, 2127, 5, 39, 0, 0, 2122, 2123, 5, 92, 0, 0, 2123, 2126, 9, 0, 0, 0, 2124, 2126, 8, 37, 0, 0, 2125, 2122, 1, 0, 0, 0, 2125, 2124, 1, 0, 0, 0, 2126, 2129, 1, 0, 0, 0, 2127, 2125, 1, 0, 0, 0, 2127, 2128, 1, 0, 0, 0, 2128, 2130, 1, 0, 0, 0, 2129, 2127, 1, 0, 0, 0, 2130, 2131, 5, 39, 0, 0, 2131, 560, 1, 0, 0, 0, 2132, 2133, 8, 38, 0, 0, 2133, 562, 1, 0, 0, 0, 2134, 2135, 3, 185, 83, 0, 2135, 2136, 1, 0, 0, 0, 2136, 2137, 6, 272, 17, 0, 2137, 2138, 6, 272, 18, 0, 2138, 564, 1, 0, 0, 0, 2139, 2140, 3, 305, 143, 0, 2140, 2141, 1, 0, 0, 0, 2141, 2142, 6, 273, 19, 0, 2142, 2143, 6, 273, 18, 0, 2143, 2144, 6, 273, 18, 0, 2144, 566, 1, 0, 0, 0, 2145, 2146, 3, 299, 140, 0, 2146, 2147, 1, 0, 0, 0, 2147, 2148, 6, 274, 24, 0, 2148, 568, 1, 0, 0, 0, 2149, 2150, 3, 301, 141, 0, 2150, 2151, 1, 0, 0, 0, 2151, 2152, 6, 275, 25, 0, 2152, 570, 1, 0, 0, 0, 2153, 2154, 3, 217, 99, 0, 2154, 2155, 1, 0, 0, 0, 2155, 2156, 6, 276, 32, 0, 2156, 572, 1, 0, 0, 0, 2157, 2158, 3, 227, 104, 0, 2158, 2159, 1, 0, 0, 0, 2159, 2160, 6, 277, 23, 0, 2160, 574, 1, 0, 0, 0, 2161, 2162, 3, 231, 106, 0, 2162, 2163, 1, 0, 0, 0, 2163, 2164, 6, 278, 22, 0, 2164, 576, 1, 0, 0, 0, 2165, 2166, 3, 255, 118, 0, 2166, 2167, 1, 0, 0, 0, 2167, 2168, 6, 279, 34, 0, 2168, 578, 1, 0, 0, 0, 2169, 2170, 3, 295, 138, 0, 2170, 2171, 1, 0, 0, 0, 2171, 2172, 6, 280, 35, 0, 2172, 580, 1, 0, 0, 0, 2173, 2174, 3, 291, 136, 0, 2174, 2175, 1, 0, 0, 0, 2175, 2176, 6, 281, 36, 0, 2176, 582, 1, 0, 0, 0, 2177, 2178, 3, 297, 139, 0, 2178, 2179, 1, 0, 0, 0, 2179, 2180, 6, 282, 37, 0, 2180, 584, 1, 0, 0, 0, 2181, 2182, 7, 4, 0, 0, 2182, 2183, 7, 17, 0, 0, 2183, 586, 1, 0, 0, 0, 2184, 2185, 3, 517, 249, 0, 2185, 2186, 1, 0, 0, 0, 2186, 2187, 6, 284, 33, 0, 2187, 588, 1, 0, 0, 0, 2188, 2189, 3, 19, 0, 0, 2189, 2190, 1, 0, 0, 0, 2190, 2191, 6, 285, 0, 0, 2191, 590, 1, 0, 0, 0, 2192, 2193, 3, 21, 1, 0, 2193, 2194, 1, 0, 0, 0, 2194, 2195, 6, 286, 0, 0, 2195, 592, 1, 0, 0, 0, 2196, 2197, 3, 23, 2, 0, 2197, 2198, 1, 0, 0, 0, 2198, 2199, 6, 287, 0, 0, 2199, 594, 1, 0, 0, 0, 2200, 2201, 3, 259, 120, 0, 2201, 2202, 1, 0, 0, 0, 2202, 2203, 6, 288, 49, 0, 2203, 596, 1, 0, 0, 0, 2204, 2205, 3, 233, 107, 0, 2205, 2206, 1, 0, 0, 0, 2206, 2207, 6, 289, 50, 0, 2207, 598, 1, 0, 0, 0, 2208, 2209, 3, 247, 114, 0, 2209, 2210, 1, 0, 0, 0, 2210, 2211, 6, 290, 51, 0, 2211, 600, 1, 0, 0, 0, 2212, 2213, 3, 225, 103, 0, 2213, 2214, 1, 0, 0, 0, 2214, 2215, 6, 291, 52, 0, 2215, 2216, 6, 291, 18, 0, 2216, 602, 1, 0, 0, 0, 2217, 2218, 3, 217, 99, 0, 2218, 2219, 1, 0, 0, 0, 2219, 2220, 6, 292, 32, 0, 2220, 604, 1, 0, 0, 0, 2221, 2222, 3, 207, 94, 0, 2222, 2223, 1, 0, 0, 0, 2223, 2224, 6, 293, 31, 0, 2224, 606, 1, 0, 0, 0, 2225, 2226, 3, 307, 144, 0, 2226, 2227, 1, 0, 0, 0, 2227, 2228, 6, 294, 27, 0, 2228, 608, 1, 0, 0, 0, 2229, 2230, 3, 311, 146, 0, 2230, 2231, 1, 0, 0, 0, 2231, 2232, 6, 295, 26, 0, 2232, 610, 1, 0, 0, 0, 2233, 2234, 3, 211, 96, 0, 2234, 2235, 1, 0, 0, 0, 2235, 2236, 6, 296, 53, 0, 2236, 612, 1, 0, 0, 0, 2237, 2238, 3, 209, 95, 0, 2238, 2239, 1, 0, 0, 0, 2239, 2240, 6, 297, 54, 0, 2240, 614, 1, 0, 0, 0, 2241, 2242, 3, 223, 102, 0, 2242, 2243, 1, 0, 0, 0, 2243, 2244, 6, 298, 41, 0, 2244, 616, 1, 0, 0, 0, 2245, 2246, 3, 227, 104, 0, 2246, 2247, 1, 0, 0, 0, 2247, 2248, 6, 299, 23, 0, 2248, 618, 1, 0, 0, 0, 2249, 2250, 3, 231, 106, 0, 2250, 2251, 1, 0, 0, 0, 2251, 2252, 6, 300, 22, 0, 2252, 620, 1, 0, 0, 0, 2253, 2254, 3, 255, 118, 0, 2254, 2255, 1, 0, 0, 0, 2255, 2256, 6, 301, 34, 0, 2256, 622, 1, 0, 0, 0, 2257, 2258, 3, 295, 138, 0, 2258, 2259, 1, 0, 0, 0, 2259, 2260, 6, 302, 35, 0, 2260, 624, 1, 0, 0, 0, 2261, 2262, 3, 287, 134, 0, 2262, 2263, 1, 0, 0, 0, 2263, 2264, 6, 303, 55, 0, 2264, 626, 1, 0, 0, 0, 2265, 2266, 3, 289, 135, 0, 2266, 2267, 1, 0, 0, 0, 2267, 2268, 6, 304, 56, 0, 2268, 628, 1, 0, 0, 0, 2269, 2270, 3, 291, 136, 0, 2270, 2271, 1, 0, 0, 0, 2271, 2272, 6, 305, 36, 0, 2272, 630, 1, 0, 0, 0, 2273, 2274, 3, 297, 139, 0, 2274, 2275, 1, 0, 0, 0, 2275, 2276, 6, 306, 37, 0, 2276, 632, 1, 0, 0, 0, 2277, 2278, 3, 299, 140, 0, 2278, 2279, 1, 0, 0, 0, 2279, 2280, 6, 307, 24, 0, 2280, 634, 1, 0, 0, 0, 2281, 2282, 3, 301, 141, 0, 2282, 2283, 1, 0, 0, 0, 2283, 2284, 6, 308, 25, 0, 2284, 636, 1, 0, 0, 0, 2285, 2286, 3, 517, 249, 0, 2286, 2287, 1, 0, 0, 0, 2287, 2288, 6, 309, 33, 0, 2288, 638, 1, 0, 0, 0, 2289, 2290, 3, 19, 0, 0, 2290, 2291, 1, 0, 0, 0, 2291, 2292, 6, 310, 0, 0, 2292, 640, 1, 0, 0, 0, 2293, 2294, 3, 21, 1, 0, 2294, 2295, 1, 0, 0, 0, 2295, 2296, 6, 311, 0, 0, 2296, 642, 1, 0, 0, 0, 2297, 2298, 3, 23, 2, 0, 2298, 2299, 1, 0, 0, 0, 2299, 2300, 6, 312, 0, 0, 2300, 644, 1, 0, 0, 0, 2301, 2302, 3, 185, 83, 0, 2302, 2303, 1, 0, 0, 0, 2303, 2304, 6, 313, 17, 0, 2304, 2305, 6, 313, 18, 0, 2305, 646, 1, 0, 0, 0, 2306, 2307, 7, 10, 0, 0, 2307, 2308, 7, 5, 0, 0, 2308, 2309, 7, 21, 0, 0, 2309, 2310, 7, 9, 0, 0, 2310, 648, 1, 0, 0, 0, 2311, 2312, 3, 19, 0, 0, 2312, 2313, 1, 0, 0, 0, 2313, 2314, 6, 315, 0, 0, 2314, 650, 1, 0, 0, 0, 2315, 2316, 3, 21, 1, 0, 2316, 2317, 1, 0, 0, 0, 2317, 2318, 6, 316, 0, 0, 2318, 652, 1, 0, 0, 0, 2319, 2320, 3, 23, 2, 0, 2320, 2321, 1, 0, 0, 0, 2321, 2322, 6, 317, 0, 0, 2322, 654, 1, 0, 0, 0, 76, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 661, 665, 668, 677, 679, 690, 988, 1073, 1077, 1082, 1214, 1219, 1228, 1235, 1240, 1242, 1253, 1261, 1264, 1266, 1271, 1276, 1282, 1289, 1294, 1300, 1303, 1311, 1315, 1456, 1461, 1468, 1470, 1475, 1480, 1487, 1489, 1515, 1520, 1525, 1527, 1533, 1595, 1600, 1996, 2000, 2005, 2010, 2015, 2017, 2021, 2023, 2112, 2116, 2119, 2125, 2127, 57, 0, 1, 0, 5, 1, 0, 5, 2, 0, 5, 4, 0, 5, 5, 0, 5, 6, 0, 5, 7, 0, 5, 8, 0, 5, 9, 0, 5, 10, 0, 5, 11, 0, 5, 13, 0, 5, 14, 0, 5, 15, 0, 5, 16, 0, 5, 17, 0, 5, 18, 0, 7, 51, 0, 4, 0, 0, 7, 100, 0, 7, 74, 0, 7, 148, 0, 7, 64, 0, 7, 62, 0, 7, 97, 0, 7, 98, 0, 7, 102, 0, 7, 101, 0, 5, 3, 0, 7, 79, 0, 7, 41, 0, 7, 52, 0, 7, 57, 0, 7, 138, 0, 7, 76, 0, 7, 95, 0, 7, 94, 0, 7, 96, 0, 7, 99, 0, 5, 0, 0, 7, 17, 0, 7, 60, 0, 7, 59, 0, 7, 107, 0, 7, 58, 0, 5, 12, 0, 1, 263, 0, 1, 264, 1, 1, 265, 2, 7, 78, 0, 7, 65, 0, 7, 72, 0, 7, 61, 0, 7, 54, 0, 7, 53, 0, 7, 92, 0, 7, 93, 0] \ No newline at end of file diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseLexer.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseLexer.java index caf490e0ee0dd..5fe4bf90f7082 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseLexer.java +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseLexer.java @@ -30,7 +30,7 @@ public class EsqlBaseLexer extends LexerConfig { SAMPLE=14, SORT=15, STATS=16, WHERE=17, FROM=18, TS=19, FORK=20, FUSE=21, INLINE=22, INLINESTATS=23, JOIN_LOOKUP=24, DEV_JOIN_FULL=25, DEV_JOIN_LEFT=26, DEV_JOIN_RIGHT=27, DEV_LOOKUP=28, MV_EXPAND=29, DROP=30, KEEP=31, DEV_INSIST=32, - DEV_PROMQL=33, RENAME=34, SET=35, SHOW=36, UNKNOWN_CMD=37, CHANGE_POINT_LINE_COMMENT=38, + PROMQL=33, RENAME=34, SET=35, SHOW=36, UNKNOWN_CMD=37, CHANGE_POINT_LINE_COMMENT=38, CHANGE_POINT_MULTILINE_COMMENT=39, CHANGE_POINT_WS=40, ENRICH_POLICY_NAME=41, ENRICH_LINE_COMMENT=42, ENRICH_MULTILINE_COMMENT=43, ENRICH_WS=44, ENRICH_FIELD_LINE_COMMENT=45, ENRICH_FIELD_MULTILINE_COMMENT=46, ENRICH_FIELD_WS=47, EXPLAIN_WS=48, @@ -81,7 +81,7 @@ private static String[] makeRuleNames() { "ROW", "SAMPLE", "SORT", "STATS", "WHERE", "FROM", "TS", "FORK", "FUSE", "INLINE", "INLINESTATS", "JOIN_LOOKUP", "DEV_JOIN_FULL", "DEV_JOIN_LEFT", "DEV_JOIN_RIGHT", "DEV_LOOKUP", "MV_EXPAND", "DROP", "KEEP", "DEV_INSIST", - "DEV_PROMQL", "RENAME", "SET", "SHOW", "UNKNOWN_CMD", "CHANGE_POINT_PIPE", + "PROMQL", "RENAME", "SET", "SHOW", "UNKNOWN_CMD", "CHANGE_POINT_PIPE", "CHANGE_POINT_RP", "CHANGE_POINT_ON", "CHANGE_POINT_AS", "CHANGE_POINT_DOT", "CHANGE_POINT_COMMA", "CHANGE_POINT_OPENING_BRACKET", "CHANGE_POINT_CLOSING_BRACKET", "CHANGE_POINT_QUOTED_IDENTIFIER", "CHANGE_POINT_UNQUOTED_IDENTIFIER", @@ -161,14 +161,14 @@ private static String[] makeLiteralNames() { "'dissect'", "'eval'", "'grok'", "'limit'", "'rerank'", "'row'", "'sample'", "'sort'", null, "'where'", "'from'", "'ts'", "'fork'", "'fuse'", "'inline'", "'inlinestats'", "'lookup'", null, null, null, null, "'mv_expand'", "'drop'", - "'keep'", null, null, "'rename'", "'set'", "'show'", null, null, null, - null, null, null, null, null, null, null, null, null, null, null, "'|'", - null, null, null, "'and'", "'asc'", "'='", "'by'", "'::'", "':'", "';'", - "','", "'desc'", "'.'", "'false'", "'first'", "'in'", "'is'", "'last'", - "'like'", "'not'", "'null'", "'nulls'", "'on'", "'or'", "'?'", "'rlike'", - "'true'", "'with'", "'=='", "'=~'", "'!='", "'<'", "'<='", "'>'", "'>='", - "'+'", "'-'", "'*'", "'/'", "'%'", "'{'", "'}'", "'??'", null, null, - null, "']'", null, "')'", null, null, null, null, null, "'metadata'", + "'keep'", null, "'promql'", "'rename'", "'set'", "'show'", null, null, + null, null, null, null, null, null, null, null, null, null, null, null, + "'|'", null, null, null, "'and'", "'asc'", "'='", "'by'", "'::'", "':'", + "';'", "','", "'desc'", "'.'", "'false'", "'first'", "'in'", "'is'", + "'last'", "'like'", "'not'", "'null'", "'nulls'", "'on'", "'or'", "'?'", + "'rlike'", "'true'", "'with'", "'=='", "'=~'", "'!='", "'<'", "'<='", + "'>'", "'>='", "'+'", "'-'", "'*'", "'/'", "'%'", "'{'", "'}'", "'??'", + null, null, null, "']'", null, "')'", null, null, null, null, null, "'metadata'", null, null, null, null, null, null, null, "'group'", "'score'", "'key'", null, null, null, null, null, null, null, "'join'", "'USING'", null, null, null, null, null, null, null, null, null, null, null, null, null, @@ -184,7 +184,7 @@ private static String[] makeSymbolicNames() { "ROW", "SAMPLE", "SORT", "STATS", "WHERE", "FROM", "TS", "FORK", "FUSE", "INLINE", "INLINESTATS", "JOIN_LOOKUP", "DEV_JOIN_FULL", "DEV_JOIN_LEFT", "DEV_JOIN_RIGHT", "DEV_LOOKUP", "MV_EXPAND", "DROP", "KEEP", "DEV_INSIST", - "DEV_PROMQL", "RENAME", "SET", "SHOW", "UNKNOWN_CMD", "CHANGE_POINT_LINE_COMMENT", + "PROMQL", "RENAME", "SET", "SHOW", "UNKNOWN_CMD", "CHANGE_POINT_LINE_COMMENT", "CHANGE_POINT_MULTILINE_COMMENT", "CHANGE_POINT_WS", "ENRICH_POLICY_NAME", "ENRICH_LINE_COMMENT", "ENRICH_MULTILINE_COMMENT", "ENRICH_WS", "ENRICH_FIELD_LINE_COMMENT", "ENRICH_FIELD_MULTILINE_COMMENT", "ENRICH_FIELD_WS", "EXPLAIN_WS", "EXPLAIN_LINE_COMMENT", @@ -321,8 +321,6 @@ public boolean sempred(RuleContext _localctx, int ruleIndex, int predIndex) { return DEV_LOOKUP_sempred((RuleContext)_localctx, predIndex); case 31: return DEV_INSIST_sempred((RuleContext)_localctx, predIndex); - case 32: - return DEV_PROMQL_sempred((RuleContext)_localctx, predIndex); case 264: return PROMQL_NESTED_RP_sempred((RuleContext)_localctx, predIndex); case 265: @@ -372,30 +370,23 @@ private boolean DEV_INSIST_sempred(RuleContext _localctx, int predIndex) { } return true; } - private boolean DEV_PROMQL_sempred(RuleContext _localctx, int predIndex) { - switch (predIndex) { - case 6: - return this.isDevVersion(); - } - return true; - } private boolean PROMQL_NESTED_RP_sempred(RuleContext _localctx, int predIndex) { switch (predIndex) { - case 7: + case 6: return this.isPromqlQuery(); } return true; } private boolean PROMQL_QUERY_RP_sempred(RuleContext _localctx, int predIndex) { switch (predIndex) { - case 8: + case 7: return !this.isPromqlQuery(); } return true; } public static final String _serializedATN = - "\u0004\u0000\u009e\u0914\u0006\uffff\uffff\u0006\uffff\uffff\u0006\uffff"+ + "\u0004\u0000\u009e\u0913\u0006\uffff\uffff\u0006\uffff\uffff\u0006\uffff"+ "\uffff\u0006\uffff\uffff\u0006\uffff\uffff\u0006\uffff\uffff\u0006\uffff"+ "\uffff\u0006\uffff\uffff\u0006\uffff\uffff\u0006\uffff\uffff\u0006\uffff"+ "\uffff\u0006\uffff\uffff\u0006\uffff\uffff\u0006\uffff\uffff\u0006\uffff"+ @@ -541,43 +532,43 @@ private boolean PROMQL_QUERY_RP_sempred(RuleContext _localctx, int predIndex) { "\u001e\u0001\u001e\u0001\u001e\u0001\u001e\u0001\u001e\u0001\u001f\u0001"+ "\u001f\u0001\u001f\u0001\u001f\u0001\u001f\u0001\u001f\u0001\u001f\u0001"+ "\u001f\u0001\u001f\u0001\u001f\u0001\u001f\u0001\u001f\u0001 \u0001 \u0001"+ - " \u0001 \u0001 \u0001 \u0001 \u0001 \u0001 \u0001 \u0001!\u0001!\u0001"+ - "!\u0001!\u0001!\u0001!\u0001!\u0001!\u0001!\u0001\"\u0001\"\u0001\"\u0001"+ - "\"\u0001\"\u0001\"\u0001#\u0001#\u0001#\u0001#\u0001#\u0001#\u0001#\u0001"+ - "$\u0004$\u03dc\b$\u000b$\f$\u03dd\u0001$\u0001$\u0001%\u0001%\u0001%\u0001"+ - "%\u0001%\u0001&\u0001&\u0001&\u0001&\u0001&\u0001&\u0001\'\u0001\'\u0001"+ - "\'\u0001\'\u0001(\u0001(\u0001(\u0001(\u0001)\u0001)\u0001)\u0001)\u0001"+ - "*\u0001*\u0001*\u0001*\u0001+\u0001+\u0001+\u0001+\u0001,\u0001,\u0001"+ - ",\u0001,\u0001-\u0001-\u0001-\u0001-\u0001.\u0001.\u0001.\u0001.\u0001"+ - "/\u0001/\u0001/\u0001/\u00010\u00010\u00010\u00010\u00011\u00011\u0001"+ - "1\u00011\u00012\u00012\u00012\u00012\u00012\u00013\u00013\u00013\u0001"+ - "3\u00013\u00013\u00014\u00014\u00014\u00014\u00014\u00015\u00015\u0001"+ - "5\u00015\u00015\u00016\u00016\u00017\u00047\u0431\b7\u000b7\f7\u0432\u0001"+ - "7\u00017\u00037\u0437\b7\u00017\u00047\u043a\b7\u000b7\f7\u043b\u0001"+ - "8\u00018\u00018\u00018\u00019\u00019\u00019\u00019\u0001:\u0001:\u0001"+ - ":\u0001:\u0001;\u0001;\u0001;\u0001;\u0001<\u0001<\u0001<\u0001<\u0001"+ - "=\u0001=\u0001=\u0001=\u0001=\u0001=\u0001>\u0001>\u0001>\u0001>\u0001"+ - ">\u0001>\u0001>\u0001?\u0001?\u0001?\u0001?\u0001@\u0001@\u0001@\u0001"+ - "@\u0001A\u0001A\u0001A\u0001A\u0001B\u0001B\u0001B\u0001B\u0001C\u0001"+ - "C\u0001C\u0001C\u0001D\u0001D\u0001D\u0001D\u0001E\u0001E\u0001E\u0001"+ - "E\u0001F\u0001F\u0001F\u0001F\u0001G\u0001G\u0001G\u0001G\u0001H\u0001"+ - "H\u0001H\u0001H\u0001I\u0001I\u0001I\u0001I\u0001J\u0001J\u0001J\u0001"+ - "J\u0001K\u0001K\u0001K\u0001K\u0001L\u0001L\u0001L\u0001L\u0001M\u0001"+ - "M\u0001M\u0001M\u0001N\u0001N\u0001N\u0001N\u0001N\u0001O\u0001O\u0001"+ - "O\u0001O\u0001O\u0001P\u0001P\u0001P\u0001P\u0001Q\u0001Q\u0001Q\u0001"+ - "Q\u0001R\u0001R\u0001R\u0001R\u0001S\u0001S\u0001S\u0001S\u0001T\u0001"+ - "T\u0001U\u0001U\u0001V\u0001V\u0001V\u0001W\u0001W\u0001X\u0001X\u0003"+ - "X\u04c0\bX\u0001X\u0004X\u04c3\bX\u000bX\fX\u04c4\u0001Y\u0001Y\u0001"+ - "Z\u0001Z\u0001[\u0001[\u0001[\u0003[\u04ce\b[\u0001\\\u0001\\\u0001]\u0001"+ - "]\u0001]\u0003]\u04d5\b]\u0001^\u0001^\u0001^\u0005^\u04da\b^\n^\f^\u04dd"+ - "\t^\u0001^\u0001^\u0001^\u0001^\u0001^\u0001^\u0005^\u04e5\b^\n^\f^\u04e8"+ - "\t^\u0001^\u0001^\u0001^\u0001^\u0001^\u0003^\u04ef\b^\u0001^\u0003^\u04f2"+ - "\b^\u0003^\u04f4\b^\u0001_\u0004_\u04f7\b_\u000b_\f_\u04f8\u0001`\u0004"+ - "`\u04fc\b`\u000b`\f`\u04fd\u0001`\u0001`\u0005`\u0502\b`\n`\f`\u0505\t"+ - "`\u0001`\u0001`\u0004`\u0509\b`\u000b`\f`\u050a\u0001`\u0004`\u050e\b"+ - "`\u000b`\f`\u050f\u0001`\u0001`\u0005`\u0514\b`\n`\f`\u0517\t`\u0003`"+ - "\u0519\b`\u0001`\u0001`\u0001`\u0001`\u0004`\u051f\b`\u000b`\f`\u0520"+ - "\u0001`\u0001`\u0003`\u0525\b`\u0001a\u0001a\u0001a\u0001a\u0001b\u0001"+ + " \u0001 \u0001 \u0001 \u0001 \u0001 \u0001 \u0001!\u0001!\u0001!\u0001"+ + "!\u0001!\u0001!\u0001!\u0001!\u0001!\u0001\"\u0001\"\u0001\"\u0001\"\u0001"+ + "\"\u0001\"\u0001#\u0001#\u0001#\u0001#\u0001#\u0001#\u0001#\u0001$\u0004"+ + "$\u03db\b$\u000b$\f$\u03dc\u0001$\u0001$\u0001%\u0001%\u0001%\u0001%\u0001"+ + "%\u0001&\u0001&\u0001&\u0001&\u0001&\u0001&\u0001\'\u0001\'\u0001\'\u0001"+ + "\'\u0001(\u0001(\u0001(\u0001(\u0001)\u0001)\u0001)\u0001)\u0001*\u0001"+ + "*\u0001*\u0001*\u0001+\u0001+\u0001+\u0001+\u0001,\u0001,\u0001,\u0001"+ + ",\u0001-\u0001-\u0001-\u0001-\u0001.\u0001.\u0001.\u0001.\u0001/\u0001"+ + "/\u0001/\u0001/\u00010\u00010\u00010\u00010\u00011\u00011\u00011\u0001"+ + "1\u00012\u00012\u00012\u00012\u00012\u00013\u00013\u00013\u00013\u0001"+ + "3\u00013\u00014\u00014\u00014\u00014\u00014\u00015\u00015\u00015\u0001"+ + "5\u00015\u00016\u00016\u00017\u00047\u0430\b7\u000b7\f7\u0431\u00017\u0001"+ + "7\u00037\u0436\b7\u00017\u00047\u0439\b7\u000b7\f7\u043a\u00018\u0001"+ + "8\u00018\u00018\u00019\u00019\u00019\u00019\u0001:\u0001:\u0001:\u0001"+ + ":\u0001;\u0001;\u0001;\u0001;\u0001<\u0001<\u0001<\u0001<\u0001=\u0001"+ + "=\u0001=\u0001=\u0001=\u0001=\u0001>\u0001>\u0001>\u0001>\u0001>\u0001"+ + ">\u0001>\u0001?\u0001?\u0001?\u0001?\u0001@\u0001@\u0001@\u0001@\u0001"+ + "A\u0001A\u0001A\u0001A\u0001B\u0001B\u0001B\u0001B\u0001C\u0001C\u0001"+ + "C\u0001C\u0001D\u0001D\u0001D\u0001D\u0001E\u0001E\u0001E\u0001E\u0001"+ + "F\u0001F\u0001F\u0001F\u0001G\u0001G\u0001G\u0001G\u0001H\u0001H\u0001"+ + "H\u0001H\u0001I\u0001I\u0001I\u0001I\u0001J\u0001J\u0001J\u0001J\u0001"+ + "K\u0001K\u0001K\u0001K\u0001L\u0001L\u0001L\u0001L\u0001M\u0001M\u0001"+ + "M\u0001M\u0001N\u0001N\u0001N\u0001N\u0001N\u0001O\u0001O\u0001O\u0001"+ + "O\u0001O\u0001P\u0001P\u0001P\u0001P\u0001Q\u0001Q\u0001Q\u0001Q\u0001"+ + "R\u0001R\u0001R\u0001R\u0001S\u0001S\u0001S\u0001S\u0001T\u0001T\u0001"+ + "U\u0001U\u0001V\u0001V\u0001V\u0001W\u0001W\u0001X\u0001X\u0003X\u04bf"+ + "\bX\u0001X\u0004X\u04c2\bX\u000bX\fX\u04c3\u0001Y\u0001Y\u0001Z\u0001"+ + "Z\u0001[\u0001[\u0001[\u0003[\u04cd\b[\u0001\\\u0001\\\u0001]\u0001]\u0001"+ + "]\u0003]\u04d4\b]\u0001^\u0001^\u0001^\u0005^\u04d9\b^\n^\f^\u04dc\t^"+ + "\u0001^\u0001^\u0001^\u0001^\u0001^\u0001^\u0005^\u04e4\b^\n^\f^\u04e7"+ + "\t^\u0001^\u0001^\u0001^\u0001^\u0001^\u0003^\u04ee\b^\u0001^\u0003^\u04f1"+ + "\b^\u0003^\u04f3\b^\u0001_\u0004_\u04f6\b_\u000b_\f_\u04f7\u0001`\u0004"+ + "`\u04fb\b`\u000b`\f`\u04fc\u0001`\u0001`\u0005`\u0501\b`\n`\f`\u0504\t"+ + "`\u0001`\u0001`\u0004`\u0508\b`\u000b`\f`\u0509\u0001`\u0004`\u050d\b"+ + "`\u000b`\f`\u050e\u0001`\u0001`\u0005`\u0513\b`\n`\f`\u0516\t`\u0003`"+ + "\u0518\b`\u0001`\u0001`\u0001`\u0001`\u0004`\u051e\b`\u000b`\f`\u051f"+ + "\u0001`\u0001`\u0003`\u0524\b`\u0001a\u0001a\u0001a\u0001a\u0001b\u0001"+ "b\u0001b\u0001b\u0001c\u0001c\u0001d\u0001d\u0001d\u0001e\u0001e\u0001"+ "e\u0001f\u0001f\u0001g\u0001g\u0001h\u0001h\u0001i\u0001i\u0001i\u0001"+ "i\u0001i\u0001j\u0001j\u0001k\u0001k\u0001k\u0001k\u0001k\u0001k\u0001"+ @@ -593,20 +584,20 @@ private boolean PROMQL_QUERY_RP_sempred(RuleContext _localctx, int predIndex) { "\u0083\u0001\u0083\u0001\u0084\u0001\u0084\u0001\u0085\u0001\u0085\u0001"+ "\u0086\u0001\u0086\u0001\u0087\u0001\u0087\u0001\u0088\u0001\u0088\u0001"+ "\u0088\u0001\u0089\u0001\u0089\u0001\u0089\u0001\u0089\u0001\u008a\u0001"+ - "\u008a\u0001\u008a\u0003\u008a\u05b2\b\u008a\u0001\u008a\u0005\u008a\u05b5"+ - "\b\u008a\n\u008a\f\u008a\u05b8\t\u008a\u0001\u008a\u0001\u008a\u0004\u008a"+ - "\u05bc\b\u008a\u000b\u008a\f\u008a\u05bd\u0003\u008a\u05c0\b\u008a\u0001"+ - "\u008b\u0001\u008b\u0001\u008b\u0003\u008b\u05c5\b\u008b\u0001\u008b\u0005"+ - "\u008b\u05c8\b\u008b\n\u008b\f\u008b\u05cb\t\u008b\u0001\u008b\u0001\u008b"+ - "\u0004\u008b\u05cf\b\u008b\u000b\u008b\f\u008b\u05d0\u0003\u008b\u05d3"+ + "\u008a\u0001\u008a\u0003\u008a\u05b1\b\u008a\u0001\u008a\u0005\u008a\u05b4"+ + "\b\u008a\n\u008a\f\u008a\u05b7\t\u008a\u0001\u008a\u0001\u008a\u0004\u008a"+ + "\u05bb\b\u008a\u000b\u008a\f\u008a\u05bc\u0003\u008a\u05bf\b\u008a\u0001"+ + "\u008b\u0001\u008b\u0001\u008b\u0003\u008b\u05c4\b\u008b\u0001\u008b\u0005"+ + "\u008b\u05c7\b\u008b\n\u008b\f\u008b\u05ca\t\u008b\u0001\u008b\u0001\u008b"+ + "\u0004\u008b\u05ce\b\u008b\u000b\u008b\f\u008b\u05cf\u0003\u008b\u05d2"+ "\b\u008b\u0001\u008c\u0001\u008c\u0001\u008c\u0001\u008c\u0001\u008c\u0001"+ "\u008d\u0001\u008d\u0001\u008d\u0001\u008d\u0001\u008d\u0001\u008e\u0001"+ "\u008e\u0001\u008e\u0001\u008e\u0001\u008e\u0001\u008f\u0001\u008f\u0001"+ - "\u008f\u0001\u008f\u0001\u008f\u0001\u0090\u0001\u0090\u0005\u0090\u05eb"+ - "\b\u0090\n\u0090\f\u0090\u05ee\t\u0090\u0001\u0090\u0001\u0090\u0003\u0090"+ - "\u05f2\b\u0090\u0001\u0090\u0004\u0090\u05f5\b\u0090\u000b\u0090\f\u0090"+ - "\u05f6\u0003\u0090\u05f9\b\u0090\u0001\u0091\u0001\u0091\u0004\u0091\u05fd"+ - "\b\u0091\u000b\u0091\f\u0091\u05fe\u0001\u0091\u0001\u0091\u0001\u0092"+ + "\u008f\u0001\u008f\u0001\u008f\u0001\u0090\u0001\u0090\u0005\u0090\u05ea"+ + "\b\u0090\n\u0090\f\u0090\u05ed\t\u0090\u0001\u0090\u0001\u0090\u0003\u0090"+ + "\u05f1\b\u0090\u0001\u0090\u0004\u0090\u05f4\b\u0090\u000b\u0090\f\u0090"+ + "\u05f5\u0003\u0090\u05f8\b\u0090\u0001\u0091\u0001\u0091\u0004\u0091\u05fc"+ + "\b\u0091\u000b\u0091\f\u0091\u05fd\u0001\u0091\u0001\u0091\u0001\u0092"+ "\u0001\u0092\u0001\u0093\u0001\u0093\u0001\u0093\u0001\u0093\u0001\u0094"+ "\u0001\u0094\u0001\u0094\u0001\u0094\u0001\u0095\u0001\u0095\u0001\u0095"+ "\u0001\u0095\u0001\u0096\u0001\u0096\u0001\u0096\u0001\u0096\u0001\u0096"+ @@ -616,8 +607,8 @@ private boolean PROMQL_QUERY_RP_sempred(RuleContext _localctx, int predIndex) { "\u0001\u009b\u0001\u009b\u0001\u009b\u0001\u009b\u0001\u009b\u0001\u009b"+ "\u0001\u009b\u0001\u009c\u0001\u009c\u0001\u009c\u0001\u009c\u0001\u009c"+ "\u0001\u009c\u0001\u009d\u0001\u009d\u0001\u009d\u0001\u009d\u0001\u009d"+ - "\u0001\u009e\u0001\u009e\u0001\u009e\u0003\u009e\u063d\b\u009e\u0001\u009f"+ - "\u0004\u009f\u0640\b\u009f\u000b\u009f\f\u009f\u0641\u0001\u00a0\u0001"+ + "\u0001\u009e\u0001\u009e\u0001\u009e\u0003\u009e\u063c\b\u009e\u0001\u009f"+ + "\u0004\u009f\u063f\b\u009f\u000b\u009f\f\u009f\u0640\u0001\u00a0\u0001"+ "\u00a0\u0001\u00a0\u0001\u00a0\u0001\u00a1\u0001\u00a1\u0001\u00a1\u0001"+ "\u00a1\u0001\u00a2\u0001\u00a2\u0001\u00a2\u0001\u00a2\u0001\u00a3\u0001"+ "\u00a3\u0001\u00a3\u0001\u00a3\u0001\u00a4\u0001\u00a4\u0001\u00a4\u0001"+ @@ -683,12 +674,12 @@ private boolean PROMQL_QUERY_RP_sempred(RuleContext _localctx, int predIndex) { "\u00f2\u0001\u00f3\u0001\u00f3\u0001\u00f3\u0001\u00f3\u0001\u00f4\u0001"+ "\u00f4\u0001\u00f4\u0001\u00f4\u0001\u00f5\u0001\u00f5\u0001\u00f5\u0001"+ "\u00f5\u0001\u00f6\u0001\u00f6\u0001\u00f6\u0001\u00f6\u0001\u00f7\u0001"+ - "\u00f7\u0001\u00f7\u0001\u00f7\u0003\u00f7\u07ce\b\u00f7\u0001\u00f8\u0001"+ - "\u00f8\u0003\u00f8\u07d2\b\u00f8\u0001\u00f8\u0005\u00f8\u07d5\b\u00f8"+ - "\n\u00f8\f\u00f8\u07d8\t\u00f8\u0001\u00f8\u0001\u00f8\u0003\u00f8\u07dc"+ - "\b\u00f8\u0001\u00f8\u0004\u00f8\u07df\b\u00f8\u000b\u00f8\f\u00f8\u07e0"+ - "\u0003\u00f8\u07e3\b\u00f8\u0001\u00f9\u0001\u00f9\u0004\u00f9\u07e7\b"+ - "\u00f9\u000b\u00f9\f\u00f9\u07e8\u0001\u00fa\u0001\u00fa\u0001\u00fa\u0001"+ + "\u00f7\u0001\u00f7\u0001\u00f7\u0003\u00f7\u07cd\b\u00f7\u0001\u00f8\u0001"+ + "\u00f8\u0003\u00f8\u07d1\b\u00f8\u0001\u00f8\u0005\u00f8\u07d4\b\u00f8"+ + "\n\u00f8\f\u00f8\u07d7\t\u00f8\u0001\u00f8\u0001\u00f8\u0003\u00f8\u07db"+ + "\b\u00f8\u0001\u00f8\u0004\u00f8\u07de\b\u00f8\u000b\u00f8\f\u00f8\u07df"+ + "\u0003\u00f8\u07e2\b\u00f8\u0001\u00f9\u0001\u00f9\u0004\u00f9\u07e6\b"+ + "\u00f9\u000b\u00f9\f\u00f9\u07e7\u0001\u00fa\u0001\u00fa\u0001\u00fa\u0001"+ "\u00fa\u0001\u00fb\u0001\u00fb\u0001\u00fb\u0001\u00fb\u0001\u00fc\u0001"+ "\u00fc\u0001\u00fc\u0001\u00fc\u0001\u00fd\u0001\u00fd\u0001\u00fd\u0001"+ "\u00fd\u0001\u00fe\u0001\u00fe\u0001\u00fe\u0001\u00fe\u0001\u00ff\u0001"+ @@ -702,10 +693,10 @@ private boolean PROMQL_QUERY_RP_sempred(RuleContext _localctx, int predIndex) { "\u0108\u0001\u0109\u0001\u0109\u0001\u0109\u0001\u0109\u0001\u0109\u0001"+ "\u0109\u0001\u0109\u0001\u010a\u0001\u010a\u0001\u010a\u0001\u010a\u0001"+ "\u010b\u0001\u010b\u0001\u010b\u0001\u010b\u0001\u010c\u0001\u010c\u0001"+ - "\u010c\u0001\u010c\u0001\u010d\u0001\u010d\u0005\u010d\u0840\b\u010d\n"+ - "\u010d\f\u010d\u0843\t\u010d\u0001\u010d\u0003\u010d\u0846\b\u010d\u0001"+ - "\u010d\u0003\u010d\u0849\b\u010d\u0001\u010e\u0001\u010e\u0001\u010e\u0001"+ - "\u010e\u0005\u010e\u084f\b\u010e\n\u010e\f\u010e\u0852\t\u010e\u0001\u010e"+ + "\u010c\u0001\u010c\u0001\u010d\u0001\u010d\u0005\u010d\u083f\b\u010d\n"+ + "\u010d\f\u010d\u0842\t\u010d\u0001\u010d\u0003\u010d\u0845\b\u010d\u0001"+ + "\u010d\u0003\u010d\u0848\b\u010d\u0001\u010e\u0001\u010e\u0001\u010e\u0001"+ + "\u010e\u0005\u010e\u084e\b\u010e\n\u010e\f\u010e\u0851\t\u010e\u0001\u010e"+ "\u0001\u010e\u0001\u010f\u0001\u010f\u0001\u0110\u0001\u0110\u0001\u0110"+ "\u0001\u0110\u0001\u0110\u0001\u0111\u0001\u0111\u0001\u0111\u0001\u0111"+ "\u0001\u0111\u0001\u0111\u0001\u0112\u0001\u0112\u0001\u0112\u0001\u0112"+ @@ -738,7 +729,7 @@ private boolean PROMQL_QUERY_RP_sempred(RuleContext _localctx, int predIndex) { "\u0001\u0139\u0001\u013a\u0001\u013a\u0001\u013a\u0001\u013a\u0001\u013a"+ "\u0001\u013b\u0001\u013b\u0001\u013b\u0001\u013b\u0001\u013c\u0001\u013c"+ "\u0001\u013c\u0001\u013c\u0001\u013d\u0001\u013d\u0001\u013d\u0001\u013d"+ - "\u0002\u02a7\u04e6\u0000\u013e\u0013\u0001\u0015\u0002\u0017\u0003\u0019"+ + "\u0002\u02a7\u04e5\u0000\u013e\u0013\u0001\u0015\u0002\u0017\u0003\u0019"+ "\u0004\u001b\u0005\u001d\u0006\u001f\u0007!\b#\t%\n\'\u000b)\f+\r-\u000e"+ "/\u000f1\u00103\u00115\u00127\u00139\u0014;\u0015=\u0016?\u0017A\u0018"+ "C\u0019E\u001aG\u001bI\u001cK\u001dM\u001eO\u001fQ S!U\"W#Y$[%]\u0000"+ @@ -793,7 +784,7 @@ private boolean PROMQL_QUERY_RP_sempred(RuleContext _localctx, int predIndex) { "\u0000AZaz\b\u0000\"\"NNRRTT\\\\nnrrtt\u0004\u0000\n\n\r\r\"\"\\\\\u0002"+ "\u0000++--\u0001\u0000``\u0002\u0000BBbb\u0002\u0000YYyy\f\u0000\t\n\r"+ "\r \"\"(),,//::==[[]]||\u0002\u0000**//\u0002\u0000JJjj\u0002\u0000\'"+ - "\'\\\\\u0007\u0000\n\n\r\r \"#\')``||\u0930\u0000\u0013\u0001\u0000\u0000"+ + "\'\\\\\u0007\u0000\n\n\r\r \"#\')``||\u092f\u0000\u0013\u0001\u0000\u0000"+ "\u0000\u0000\u0015\u0001\u0000\u0000\u0000\u0000\u0017\u0001\u0000\u0000"+ "\u0000\u0000\u0019\u0001\u0000\u0000\u0000\u0000\u001b\u0001\u0000\u0000"+ "\u0000\u0000\u001d\u0001\u0000\u0000\u0000\u0000\u001f\u0001\u0000\u0000"+ @@ -953,148 +944,148 @@ private boolean PROMQL_QUERY_RP_sempred(RuleContext _localctx, int predIndex) { "\u036f\u0001\u0000\u0000\u0000E\u0377\u0001\u0000\u0000\u0000G\u037f\u0001"+ "\u0000\u0000\u0000I\u0388\u0001\u0000\u0000\u0000K\u0394\u0001\u0000\u0000"+ "\u0000M\u03a0\u0001\u0000\u0000\u0000O\u03a7\u0001\u0000\u0000\u0000Q"+ - "\u03ae\u0001\u0000\u0000\u0000S\u03ba\u0001\u0000\u0000\u0000U\u03c4\u0001"+ - "\u0000\u0000\u0000W\u03cd\u0001\u0000\u0000\u0000Y\u03d3\u0001\u0000\u0000"+ - "\u0000[\u03db\u0001\u0000\u0000\u0000]\u03e1\u0001\u0000\u0000\u0000_"+ - "\u03e6\u0001\u0000\u0000\u0000a\u03ec\u0001\u0000\u0000\u0000c\u03f0\u0001"+ - "\u0000\u0000\u0000e\u03f4\u0001\u0000\u0000\u0000g\u03f8\u0001\u0000\u0000"+ - "\u0000i\u03fc\u0001\u0000\u0000\u0000k\u0400\u0001\u0000\u0000\u0000m"+ - "\u0404\u0001\u0000\u0000\u0000o\u0408\u0001\u0000\u0000\u0000q\u040c\u0001"+ - "\u0000\u0000\u0000s\u0410\u0001\u0000\u0000\u0000u\u0414\u0001\u0000\u0000"+ - "\u0000w\u0418\u0001\u0000\u0000\u0000y\u041d\u0001\u0000\u0000\u0000{"+ - "\u0423\u0001\u0000\u0000\u0000}\u0428\u0001\u0000\u0000\u0000\u007f\u042d"+ - "\u0001\u0000\u0000\u0000\u0081\u0436\u0001\u0000\u0000\u0000\u0083\u043d"+ - "\u0001\u0000\u0000\u0000\u0085\u0441\u0001\u0000\u0000\u0000\u0087\u0445"+ - "\u0001\u0000\u0000\u0000\u0089\u0449\u0001\u0000\u0000\u0000\u008b\u044d"+ - "\u0001\u0000\u0000\u0000\u008d\u0451\u0001\u0000\u0000\u0000\u008f\u0457"+ - "\u0001\u0000\u0000\u0000\u0091\u045e\u0001\u0000\u0000\u0000\u0093\u0462"+ - "\u0001\u0000\u0000\u0000\u0095\u0466\u0001\u0000\u0000\u0000\u0097\u046a"+ - "\u0001\u0000\u0000\u0000\u0099\u046e\u0001\u0000\u0000\u0000\u009b\u0472"+ - "\u0001\u0000\u0000\u0000\u009d\u0476\u0001\u0000\u0000\u0000\u009f\u047a"+ - "\u0001\u0000\u0000\u0000\u00a1\u047e\u0001\u0000\u0000\u0000\u00a3\u0482"+ - "\u0001\u0000\u0000\u0000\u00a5\u0486\u0001\u0000\u0000\u0000\u00a7\u048a"+ - "\u0001\u0000\u0000\u0000\u00a9\u048e\u0001\u0000\u0000\u0000\u00ab\u0492"+ - "\u0001\u0000\u0000\u0000\u00ad\u0496\u0001\u0000\u0000\u0000\u00af\u049a"+ - "\u0001\u0000\u0000\u0000\u00b1\u049f\u0001\u0000\u0000\u0000\u00b3\u04a4"+ - "\u0001\u0000\u0000\u0000\u00b5\u04a8\u0001\u0000\u0000\u0000\u00b7\u04ac"+ - "\u0001\u0000\u0000\u0000\u00b9\u04b0\u0001\u0000\u0000\u0000\u00bb\u04b4"+ - "\u0001\u0000\u0000\u0000\u00bd\u04b6\u0001\u0000\u0000\u0000\u00bf\u04b8"+ - "\u0001\u0000\u0000\u0000\u00c1\u04bb\u0001\u0000\u0000\u0000\u00c3\u04bd"+ - "\u0001\u0000\u0000\u0000\u00c5\u04c6\u0001\u0000\u0000\u0000\u00c7\u04c8"+ - "\u0001\u0000\u0000\u0000\u00c9\u04cd\u0001\u0000\u0000\u0000\u00cb\u04cf"+ - "\u0001\u0000\u0000\u0000\u00cd\u04d4\u0001\u0000\u0000\u0000\u00cf\u04f3"+ - "\u0001\u0000\u0000\u0000\u00d1\u04f6\u0001\u0000\u0000\u0000\u00d3\u0524"+ - "\u0001\u0000\u0000\u0000\u00d5\u0526\u0001\u0000\u0000\u0000\u00d7\u052a"+ - "\u0001\u0000\u0000\u0000\u00d9\u052e\u0001\u0000\u0000\u0000\u00db\u0530"+ - "\u0001\u0000\u0000\u0000\u00dd\u0533\u0001\u0000\u0000\u0000\u00df\u0536"+ - "\u0001\u0000\u0000\u0000\u00e1\u0538\u0001\u0000\u0000\u0000\u00e3\u053a"+ - "\u0001\u0000\u0000\u0000\u00e5\u053c\u0001\u0000\u0000\u0000\u00e7\u0541"+ - "\u0001\u0000\u0000\u0000\u00e9\u0543\u0001\u0000\u0000\u0000\u00eb\u0549"+ - "\u0001\u0000\u0000\u0000\u00ed\u054f\u0001\u0000\u0000\u0000\u00ef\u0552"+ - "\u0001\u0000\u0000\u0000\u00f1\u0555\u0001\u0000\u0000\u0000\u00f3\u055a"+ - "\u0001\u0000\u0000\u0000\u00f5\u055f\u0001\u0000\u0000\u0000\u00f7\u0563"+ - "\u0001\u0000\u0000\u0000\u00f9\u0568\u0001\u0000\u0000\u0000\u00fb\u056e"+ - "\u0001\u0000\u0000\u0000\u00fd\u0571\u0001\u0000\u0000\u0000\u00ff\u0574"+ - "\u0001\u0000\u0000\u0000\u0101\u0576\u0001\u0000\u0000\u0000\u0103\u057c"+ - "\u0001\u0000\u0000\u0000\u0105\u0581\u0001\u0000\u0000\u0000\u0107\u0586"+ - "\u0001\u0000\u0000\u0000\u0109\u0589\u0001\u0000\u0000\u0000\u010b\u058c"+ - "\u0001\u0000\u0000\u0000\u010d\u058f\u0001\u0000\u0000\u0000\u010f\u0591"+ - "\u0001\u0000\u0000\u0000\u0111\u0594\u0001\u0000\u0000\u0000\u0113\u0596"+ - "\u0001\u0000\u0000\u0000\u0115\u0599\u0001\u0000\u0000\u0000\u0117\u059b"+ - "\u0001\u0000\u0000\u0000\u0119\u059d\u0001\u0000\u0000\u0000\u011b\u059f"+ - "\u0001\u0000\u0000\u0000\u011d\u05a1\u0001\u0000\u0000\u0000\u011f\u05a3"+ - "\u0001\u0000\u0000\u0000\u0121\u05a5\u0001\u0000\u0000\u0000\u0123\u05a7"+ - "\u0001\u0000\u0000\u0000\u0125\u05aa\u0001\u0000\u0000\u0000\u0127\u05bf"+ - "\u0001\u0000\u0000\u0000\u0129\u05d2\u0001\u0000\u0000\u0000\u012b\u05d4"+ - "\u0001\u0000\u0000\u0000\u012d\u05d9\u0001\u0000\u0000\u0000\u012f\u05de"+ - "\u0001\u0000\u0000\u0000\u0131\u05e3\u0001\u0000\u0000\u0000\u0133\u05f8"+ - "\u0001\u0000\u0000\u0000\u0135\u05fa\u0001\u0000\u0000\u0000\u0137\u0602"+ - "\u0001\u0000\u0000\u0000\u0139\u0604\u0001\u0000\u0000\u0000\u013b\u0608"+ - "\u0001\u0000\u0000\u0000\u013d\u060c\u0001\u0000\u0000\u0000\u013f\u0610"+ - "\u0001\u0000\u0000\u0000\u0141\u0615\u0001\u0000\u0000\u0000\u0143\u0619"+ - "\u0001\u0000\u0000\u0000\u0145\u061d\u0001\u0000\u0000\u0000\u0147\u0621"+ - "\u0001\u0000\u0000\u0000\u0149\u0625\u0001\u0000\u0000\u0000\u014b\u062e"+ - "\u0001\u0000\u0000\u0000\u014d\u0634\u0001\u0000\u0000\u0000\u014f\u063c"+ - "\u0001\u0000\u0000\u0000\u0151\u063f\u0001\u0000\u0000\u0000\u0153\u0643"+ - "\u0001\u0000\u0000\u0000\u0155\u0647\u0001\u0000\u0000\u0000\u0157\u064b"+ - "\u0001\u0000\u0000\u0000\u0159\u064f\u0001\u0000\u0000\u0000\u015b\u0653"+ - "\u0001\u0000\u0000\u0000\u015d\u0657\u0001\u0000\u0000\u0000\u015f\u065c"+ - "\u0001\u0000\u0000\u0000\u0161\u0662\u0001\u0000\u0000\u0000\u0163\u0667"+ - "\u0001\u0000\u0000\u0000\u0165\u066b\u0001\u0000\u0000\u0000\u0167\u066f"+ - "\u0001\u0000\u0000\u0000\u0169\u0673\u0001\u0000\u0000\u0000\u016b\u0678"+ - "\u0001\u0000\u0000\u0000\u016d\u067e\u0001\u0000\u0000\u0000\u016f\u0684"+ - "\u0001\u0000\u0000\u0000\u0171\u068a\u0001\u0000\u0000\u0000\u0173\u068e"+ - "\u0001\u0000\u0000\u0000\u0175\u0694\u0001\u0000\u0000\u0000\u0177\u0698"+ - "\u0001\u0000\u0000\u0000\u0179\u069c\u0001\u0000\u0000\u0000\u017b\u06a0"+ - "\u0001\u0000\u0000\u0000\u017d\u06a4\u0001\u0000\u0000\u0000\u017f\u06a8"+ - "\u0001\u0000\u0000\u0000\u0181\u06ac\u0001\u0000\u0000\u0000\u0183\u06b0"+ - "\u0001\u0000\u0000\u0000\u0185\u06b4\u0001\u0000\u0000\u0000\u0187\u06b8"+ - "\u0001\u0000\u0000\u0000\u0189\u06bc\u0001\u0000\u0000\u0000\u018b\u06c0"+ - "\u0001\u0000\u0000\u0000\u018d\u06c4\u0001\u0000\u0000\u0000\u018f\u06cd"+ - "\u0001\u0000\u0000\u0000\u0191\u06d1\u0001\u0000\u0000\u0000\u0193\u06d5"+ - "\u0001\u0000\u0000\u0000\u0195\u06d9\u0001\u0000\u0000\u0000\u0197\u06de"+ - "\u0001\u0000\u0000\u0000\u0199\u06e3\u0001\u0000\u0000\u0000\u019b\u06e7"+ - "\u0001\u0000\u0000\u0000\u019d\u06ed\u0001\u0000\u0000\u0000\u019f\u06f6"+ - "\u0001\u0000\u0000\u0000\u01a1\u06fa\u0001\u0000\u0000\u0000\u01a3\u06fe"+ - "\u0001\u0000\u0000\u0000\u01a5\u0702\u0001\u0000\u0000\u0000\u01a7\u0706"+ - "\u0001\u0000\u0000\u0000\u01a9\u070a\u0001\u0000\u0000\u0000\u01ab\u070e"+ - "\u0001\u0000\u0000\u0000\u01ad\u0713\u0001\u0000\u0000\u0000\u01af\u0719"+ - "\u0001\u0000\u0000\u0000\u01b1\u071d\u0001\u0000\u0000\u0000\u01b3\u0721"+ - "\u0001\u0000\u0000\u0000\u01b5\u0725\u0001\u0000\u0000\u0000\u01b7\u072a"+ - "\u0001\u0000\u0000\u0000\u01b9\u072e\u0001\u0000\u0000\u0000\u01bb\u0732"+ - "\u0001\u0000\u0000\u0000\u01bd\u0736\u0001\u0000\u0000\u0000\u01bf\u073a"+ - "\u0001\u0000\u0000\u0000\u01c1\u073e\u0001\u0000\u0000\u0000\u01c3\u0744"+ - "\u0001\u0000\u0000\u0000\u01c5\u074b\u0001\u0000\u0000\u0000\u01c7\u074f"+ - "\u0001\u0000\u0000\u0000\u01c9\u0753\u0001\u0000\u0000\u0000\u01cb\u0757"+ - "\u0001\u0000\u0000\u0000\u01cd\u075b\u0001\u0000\u0000\u0000\u01cf\u075f"+ - "\u0001\u0000\u0000\u0000\u01d1\u0763\u0001\u0000\u0000\u0000\u01d3\u0768"+ - "\u0001\u0000\u0000\u0000\u01d5\u076e\u0001\u0000\u0000\u0000\u01d7\u0772"+ - "\u0001\u0000\u0000\u0000\u01d9\u0776\u0001\u0000\u0000\u0000\u01db\u077a"+ - "\u0001\u0000\u0000\u0000\u01dd\u077e\u0001\u0000\u0000\u0000\u01df\u0782"+ - "\u0001\u0000\u0000\u0000\u01e1\u0786\u0001\u0000\u0000\u0000\u01e3\u078a"+ - "\u0001\u0000\u0000\u0000\u01e5\u078e\u0001\u0000\u0000\u0000\u01e7\u0792"+ - "\u0001\u0000\u0000\u0000\u01e9\u0796\u0001\u0000\u0000\u0000\u01eb\u079a"+ - "\u0001\u0000\u0000\u0000\u01ed\u079e\u0001\u0000\u0000\u0000\u01ef\u07a3"+ - "\u0001\u0000\u0000\u0000\u01f1\u07a9\u0001\u0000\u0000\u0000\u01f3\u07ad"+ - "\u0001\u0000\u0000\u0000\u01f5\u07b1\u0001\u0000\u0000\u0000\u01f7\u07b5"+ - "\u0001\u0000\u0000\u0000\u01f9\u07b9\u0001\u0000\u0000\u0000\u01fb\u07bd"+ - "\u0001\u0000\u0000\u0000\u01fd\u07c1\u0001\u0000\u0000\u0000\u01ff\u07c5"+ - "\u0001\u0000\u0000\u0000\u0201\u07cd\u0001\u0000\u0000\u0000\u0203\u07e2"+ - "\u0001\u0000\u0000\u0000\u0205\u07e6\u0001\u0000\u0000\u0000\u0207\u07ea"+ - "\u0001\u0000\u0000\u0000\u0209\u07ee\u0001\u0000\u0000\u0000\u020b\u07f2"+ - "\u0001\u0000\u0000\u0000\u020d\u07f6\u0001\u0000\u0000\u0000\u020f\u07fa"+ - "\u0001\u0000\u0000\u0000\u0211\u07fe\u0001\u0000\u0000\u0000\u0213\u0802"+ - "\u0001\u0000\u0000\u0000\u0215\u0806\u0001\u0000\u0000\u0000\u0217\u080a"+ - "\u0001\u0000\u0000\u0000\u0219\u080e\u0001\u0000\u0000\u0000\u021b\u0812"+ - "\u0001\u0000\u0000\u0000\u021d\u0816\u0001\u0000\u0000\u0000\u021f\u081a"+ - "\u0001\u0000\u0000\u0000\u0221\u081f\u0001\u0000\u0000\u0000\u0223\u0824"+ - "\u0001\u0000\u0000\u0000\u0225\u082a\u0001\u0000\u0000\u0000\u0227\u0831"+ - "\u0001\u0000\u0000\u0000\u0229\u0835\u0001\u0000\u0000\u0000\u022b\u0839"+ - "\u0001\u0000\u0000\u0000\u022d\u083d\u0001\u0000\u0000\u0000\u022f\u084a"+ - "\u0001\u0000\u0000\u0000\u0231\u0855\u0001\u0000\u0000\u0000\u0233\u0857"+ - "\u0001\u0000\u0000\u0000\u0235\u085c\u0001\u0000\u0000\u0000\u0237\u0862"+ - "\u0001\u0000\u0000\u0000\u0239\u0866\u0001\u0000\u0000\u0000\u023b\u086a"+ - "\u0001\u0000\u0000\u0000\u023d\u086e\u0001\u0000\u0000\u0000\u023f\u0872"+ - "\u0001\u0000\u0000\u0000\u0241\u0876\u0001\u0000\u0000\u0000\u0243\u087a"+ - "\u0001\u0000\u0000\u0000\u0245\u087e\u0001\u0000\u0000\u0000\u0247\u0882"+ - "\u0001\u0000\u0000\u0000\u0249\u0886\u0001\u0000\u0000\u0000\u024b\u0889"+ - "\u0001\u0000\u0000\u0000\u024d\u088d\u0001\u0000\u0000\u0000\u024f\u0891"+ - "\u0001\u0000\u0000\u0000\u0251\u0895\u0001\u0000\u0000\u0000\u0253\u0899"+ - "\u0001\u0000\u0000\u0000\u0255\u089d\u0001\u0000\u0000\u0000\u0257\u08a1"+ - "\u0001\u0000\u0000\u0000\u0259\u08a5\u0001\u0000\u0000\u0000\u025b\u08aa"+ - "\u0001\u0000\u0000\u0000\u025d\u08ae\u0001\u0000\u0000\u0000\u025f\u08b2"+ - "\u0001\u0000\u0000\u0000\u0261\u08b6\u0001\u0000\u0000\u0000\u0263\u08ba"+ - "\u0001\u0000\u0000\u0000\u0265\u08be\u0001\u0000\u0000\u0000\u0267\u08c2"+ - "\u0001\u0000\u0000\u0000\u0269\u08c6\u0001\u0000\u0000\u0000\u026b\u08ca"+ - "\u0001\u0000\u0000\u0000\u026d\u08ce\u0001\u0000\u0000\u0000\u026f\u08d2"+ - "\u0001\u0000\u0000\u0000\u0271\u08d6\u0001\u0000\u0000\u0000\u0273\u08da"+ - "\u0001\u0000\u0000\u0000\u0275\u08de\u0001\u0000\u0000\u0000\u0277\u08e2"+ - "\u0001\u0000\u0000\u0000\u0279\u08e6\u0001\u0000\u0000\u0000\u027b\u08ea"+ - "\u0001\u0000\u0000\u0000\u027d\u08ee\u0001\u0000\u0000\u0000\u027f\u08f2"+ - "\u0001\u0000\u0000\u0000\u0281\u08f6\u0001\u0000\u0000\u0000\u0283\u08fa"+ - "\u0001\u0000\u0000\u0000\u0285\u08fe\u0001\u0000\u0000\u0000\u0287\u0903"+ - "\u0001\u0000\u0000\u0000\u0289\u0908\u0001\u0000\u0000\u0000\u028b\u090c"+ - "\u0001\u0000\u0000\u0000\u028d\u0910\u0001\u0000\u0000\u0000\u028f\u0290"+ + "\u03ae\u0001\u0000\u0000\u0000S\u03ba\u0001\u0000\u0000\u0000U\u03c3\u0001"+ + "\u0000\u0000\u0000W\u03cc\u0001\u0000\u0000\u0000Y\u03d2\u0001\u0000\u0000"+ + "\u0000[\u03da\u0001\u0000\u0000\u0000]\u03e0\u0001\u0000\u0000\u0000_"+ + "\u03e5\u0001\u0000\u0000\u0000a\u03eb\u0001\u0000\u0000\u0000c\u03ef\u0001"+ + "\u0000\u0000\u0000e\u03f3\u0001\u0000\u0000\u0000g\u03f7\u0001\u0000\u0000"+ + "\u0000i\u03fb\u0001\u0000\u0000\u0000k\u03ff\u0001\u0000\u0000\u0000m"+ + "\u0403\u0001\u0000\u0000\u0000o\u0407\u0001\u0000\u0000\u0000q\u040b\u0001"+ + "\u0000\u0000\u0000s\u040f\u0001\u0000\u0000\u0000u\u0413\u0001\u0000\u0000"+ + "\u0000w\u0417\u0001\u0000\u0000\u0000y\u041c\u0001\u0000\u0000\u0000{"+ + "\u0422\u0001\u0000\u0000\u0000}\u0427\u0001\u0000\u0000\u0000\u007f\u042c"+ + "\u0001\u0000\u0000\u0000\u0081\u0435\u0001\u0000\u0000\u0000\u0083\u043c"+ + "\u0001\u0000\u0000\u0000\u0085\u0440\u0001\u0000\u0000\u0000\u0087\u0444"+ + "\u0001\u0000\u0000\u0000\u0089\u0448\u0001\u0000\u0000\u0000\u008b\u044c"+ + "\u0001\u0000\u0000\u0000\u008d\u0450\u0001\u0000\u0000\u0000\u008f\u0456"+ + "\u0001\u0000\u0000\u0000\u0091\u045d\u0001\u0000\u0000\u0000\u0093\u0461"+ + "\u0001\u0000\u0000\u0000\u0095\u0465\u0001\u0000\u0000\u0000\u0097\u0469"+ + "\u0001\u0000\u0000\u0000\u0099\u046d\u0001\u0000\u0000\u0000\u009b\u0471"+ + "\u0001\u0000\u0000\u0000\u009d\u0475\u0001\u0000\u0000\u0000\u009f\u0479"+ + "\u0001\u0000\u0000\u0000\u00a1\u047d\u0001\u0000\u0000\u0000\u00a3\u0481"+ + "\u0001\u0000\u0000\u0000\u00a5\u0485\u0001\u0000\u0000\u0000\u00a7\u0489"+ + "\u0001\u0000\u0000\u0000\u00a9\u048d\u0001\u0000\u0000\u0000\u00ab\u0491"+ + "\u0001\u0000\u0000\u0000\u00ad\u0495\u0001\u0000\u0000\u0000\u00af\u0499"+ + "\u0001\u0000\u0000\u0000\u00b1\u049e\u0001\u0000\u0000\u0000\u00b3\u04a3"+ + "\u0001\u0000\u0000\u0000\u00b5\u04a7\u0001\u0000\u0000\u0000\u00b7\u04ab"+ + "\u0001\u0000\u0000\u0000\u00b9\u04af\u0001\u0000\u0000\u0000\u00bb\u04b3"+ + "\u0001\u0000\u0000\u0000\u00bd\u04b5\u0001\u0000\u0000\u0000\u00bf\u04b7"+ + "\u0001\u0000\u0000\u0000\u00c1\u04ba\u0001\u0000\u0000\u0000\u00c3\u04bc"+ + "\u0001\u0000\u0000\u0000\u00c5\u04c5\u0001\u0000\u0000\u0000\u00c7\u04c7"+ + "\u0001\u0000\u0000\u0000\u00c9\u04cc\u0001\u0000\u0000\u0000\u00cb\u04ce"+ + "\u0001\u0000\u0000\u0000\u00cd\u04d3\u0001\u0000\u0000\u0000\u00cf\u04f2"+ + "\u0001\u0000\u0000\u0000\u00d1\u04f5\u0001\u0000\u0000\u0000\u00d3\u0523"+ + "\u0001\u0000\u0000\u0000\u00d5\u0525\u0001\u0000\u0000\u0000\u00d7\u0529"+ + "\u0001\u0000\u0000\u0000\u00d9\u052d\u0001\u0000\u0000\u0000\u00db\u052f"+ + "\u0001\u0000\u0000\u0000\u00dd\u0532\u0001\u0000\u0000\u0000\u00df\u0535"+ + "\u0001\u0000\u0000\u0000\u00e1\u0537\u0001\u0000\u0000\u0000\u00e3\u0539"+ + "\u0001\u0000\u0000\u0000\u00e5\u053b\u0001\u0000\u0000\u0000\u00e7\u0540"+ + "\u0001\u0000\u0000\u0000\u00e9\u0542\u0001\u0000\u0000\u0000\u00eb\u0548"+ + "\u0001\u0000\u0000\u0000\u00ed\u054e\u0001\u0000\u0000\u0000\u00ef\u0551"+ + "\u0001\u0000\u0000\u0000\u00f1\u0554\u0001\u0000\u0000\u0000\u00f3\u0559"+ + "\u0001\u0000\u0000\u0000\u00f5\u055e\u0001\u0000\u0000\u0000\u00f7\u0562"+ + "\u0001\u0000\u0000\u0000\u00f9\u0567\u0001\u0000\u0000\u0000\u00fb\u056d"+ + "\u0001\u0000\u0000\u0000\u00fd\u0570\u0001\u0000\u0000\u0000\u00ff\u0573"+ + "\u0001\u0000\u0000\u0000\u0101\u0575\u0001\u0000\u0000\u0000\u0103\u057b"+ + "\u0001\u0000\u0000\u0000\u0105\u0580\u0001\u0000\u0000\u0000\u0107\u0585"+ + "\u0001\u0000\u0000\u0000\u0109\u0588\u0001\u0000\u0000\u0000\u010b\u058b"+ + "\u0001\u0000\u0000\u0000\u010d\u058e\u0001\u0000\u0000\u0000\u010f\u0590"+ + "\u0001\u0000\u0000\u0000\u0111\u0593\u0001\u0000\u0000\u0000\u0113\u0595"+ + "\u0001\u0000\u0000\u0000\u0115\u0598\u0001\u0000\u0000\u0000\u0117\u059a"+ + "\u0001\u0000\u0000\u0000\u0119\u059c\u0001\u0000\u0000\u0000\u011b\u059e"+ + "\u0001\u0000\u0000\u0000\u011d\u05a0\u0001\u0000\u0000\u0000\u011f\u05a2"+ + "\u0001\u0000\u0000\u0000\u0121\u05a4\u0001\u0000\u0000\u0000\u0123\u05a6"+ + "\u0001\u0000\u0000\u0000\u0125\u05a9\u0001\u0000\u0000\u0000\u0127\u05be"+ + "\u0001\u0000\u0000\u0000\u0129\u05d1\u0001\u0000\u0000\u0000\u012b\u05d3"+ + "\u0001\u0000\u0000\u0000\u012d\u05d8\u0001\u0000\u0000\u0000\u012f\u05dd"+ + "\u0001\u0000\u0000\u0000\u0131\u05e2\u0001\u0000\u0000\u0000\u0133\u05f7"+ + "\u0001\u0000\u0000\u0000\u0135\u05f9\u0001\u0000\u0000\u0000\u0137\u0601"+ + "\u0001\u0000\u0000\u0000\u0139\u0603\u0001\u0000\u0000\u0000\u013b\u0607"+ + "\u0001\u0000\u0000\u0000\u013d\u060b\u0001\u0000\u0000\u0000\u013f\u060f"+ + "\u0001\u0000\u0000\u0000\u0141\u0614\u0001\u0000\u0000\u0000\u0143\u0618"+ + "\u0001\u0000\u0000\u0000\u0145\u061c\u0001\u0000\u0000\u0000\u0147\u0620"+ + "\u0001\u0000\u0000\u0000\u0149\u0624\u0001\u0000\u0000\u0000\u014b\u062d"+ + "\u0001\u0000\u0000\u0000\u014d\u0633\u0001\u0000\u0000\u0000\u014f\u063b"+ + "\u0001\u0000\u0000\u0000\u0151\u063e\u0001\u0000\u0000\u0000\u0153\u0642"+ + "\u0001\u0000\u0000\u0000\u0155\u0646\u0001\u0000\u0000\u0000\u0157\u064a"+ + "\u0001\u0000\u0000\u0000\u0159\u064e\u0001\u0000\u0000\u0000\u015b\u0652"+ + "\u0001\u0000\u0000\u0000\u015d\u0656\u0001\u0000\u0000\u0000\u015f\u065b"+ + "\u0001\u0000\u0000\u0000\u0161\u0661\u0001\u0000\u0000\u0000\u0163\u0666"+ + "\u0001\u0000\u0000\u0000\u0165\u066a\u0001\u0000\u0000\u0000\u0167\u066e"+ + "\u0001\u0000\u0000\u0000\u0169\u0672\u0001\u0000\u0000\u0000\u016b\u0677"+ + "\u0001\u0000\u0000\u0000\u016d\u067d\u0001\u0000\u0000\u0000\u016f\u0683"+ + "\u0001\u0000\u0000\u0000\u0171\u0689\u0001\u0000\u0000\u0000\u0173\u068d"+ + "\u0001\u0000\u0000\u0000\u0175\u0693\u0001\u0000\u0000\u0000\u0177\u0697"+ + "\u0001\u0000\u0000\u0000\u0179\u069b\u0001\u0000\u0000\u0000\u017b\u069f"+ + "\u0001\u0000\u0000\u0000\u017d\u06a3\u0001\u0000\u0000\u0000\u017f\u06a7"+ + "\u0001\u0000\u0000\u0000\u0181\u06ab\u0001\u0000\u0000\u0000\u0183\u06af"+ + "\u0001\u0000\u0000\u0000\u0185\u06b3\u0001\u0000\u0000\u0000\u0187\u06b7"+ + "\u0001\u0000\u0000\u0000\u0189\u06bb\u0001\u0000\u0000\u0000\u018b\u06bf"+ + "\u0001\u0000\u0000\u0000\u018d\u06c3\u0001\u0000\u0000\u0000\u018f\u06cc"+ + "\u0001\u0000\u0000\u0000\u0191\u06d0\u0001\u0000\u0000\u0000\u0193\u06d4"+ + "\u0001\u0000\u0000\u0000\u0195\u06d8\u0001\u0000\u0000\u0000\u0197\u06dd"+ + "\u0001\u0000\u0000\u0000\u0199\u06e2\u0001\u0000\u0000\u0000\u019b\u06e6"+ + "\u0001\u0000\u0000\u0000\u019d\u06ec\u0001\u0000\u0000\u0000\u019f\u06f5"+ + "\u0001\u0000\u0000\u0000\u01a1\u06f9\u0001\u0000\u0000\u0000\u01a3\u06fd"+ + "\u0001\u0000\u0000\u0000\u01a5\u0701\u0001\u0000\u0000\u0000\u01a7\u0705"+ + "\u0001\u0000\u0000\u0000\u01a9\u0709\u0001\u0000\u0000\u0000\u01ab\u070d"+ + "\u0001\u0000\u0000\u0000\u01ad\u0712\u0001\u0000\u0000\u0000\u01af\u0718"+ + "\u0001\u0000\u0000\u0000\u01b1\u071c\u0001\u0000\u0000\u0000\u01b3\u0720"+ + "\u0001\u0000\u0000\u0000\u01b5\u0724\u0001\u0000\u0000\u0000\u01b7\u0729"+ + "\u0001\u0000\u0000\u0000\u01b9\u072d\u0001\u0000\u0000\u0000\u01bb\u0731"+ + "\u0001\u0000\u0000\u0000\u01bd\u0735\u0001\u0000\u0000\u0000\u01bf\u0739"+ + "\u0001\u0000\u0000\u0000\u01c1\u073d\u0001\u0000\u0000\u0000\u01c3\u0743"+ + "\u0001\u0000\u0000\u0000\u01c5\u074a\u0001\u0000\u0000\u0000\u01c7\u074e"+ + "\u0001\u0000\u0000\u0000\u01c9\u0752\u0001\u0000\u0000\u0000\u01cb\u0756"+ + "\u0001\u0000\u0000\u0000\u01cd\u075a\u0001\u0000\u0000\u0000\u01cf\u075e"+ + "\u0001\u0000\u0000\u0000\u01d1\u0762\u0001\u0000\u0000\u0000\u01d3\u0767"+ + "\u0001\u0000\u0000\u0000\u01d5\u076d\u0001\u0000\u0000\u0000\u01d7\u0771"+ + "\u0001\u0000\u0000\u0000\u01d9\u0775\u0001\u0000\u0000\u0000\u01db\u0779"+ + "\u0001\u0000\u0000\u0000\u01dd\u077d\u0001\u0000\u0000\u0000\u01df\u0781"+ + "\u0001\u0000\u0000\u0000\u01e1\u0785\u0001\u0000\u0000\u0000\u01e3\u0789"+ + "\u0001\u0000\u0000\u0000\u01e5\u078d\u0001\u0000\u0000\u0000\u01e7\u0791"+ + "\u0001\u0000\u0000\u0000\u01e9\u0795\u0001\u0000\u0000\u0000\u01eb\u0799"+ + "\u0001\u0000\u0000\u0000\u01ed\u079d\u0001\u0000\u0000\u0000\u01ef\u07a2"+ + "\u0001\u0000\u0000\u0000\u01f1\u07a8\u0001\u0000\u0000\u0000\u01f3\u07ac"+ + "\u0001\u0000\u0000\u0000\u01f5\u07b0\u0001\u0000\u0000\u0000\u01f7\u07b4"+ + "\u0001\u0000\u0000\u0000\u01f9\u07b8\u0001\u0000\u0000\u0000\u01fb\u07bc"+ + "\u0001\u0000\u0000\u0000\u01fd\u07c0\u0001\u0000\u0000\u0000\u01ff\u07c4"+ + "\u0001\u0000\u0000\u0000\u0201\u07cc\u0001\u0000\u0000\u0000\u0203\u07e1"+ + "\u0001\u0000\u0000\u0000\u0205\u07e5\u0001\u0000\u0000\u0000\u0207\u07e9"+ + "\u0001\u0000\u0000\u0000\u0209\u07ed\u0001\u0000\u0000\u0000\u020b\u07f1"+ + "\u0001\u0000\u0000\u0000\u020d\u07f5\u0001\u0000\u0000\u0000\u020f\u07f9"+ + "\u0001\u0000\u0000\u0000\u0211\u07fd\u0001\u0000\u0000\u0000\u0213\u0801"+ + "\u0001\u0000\u0000\u0000\u0215\u0805\u0001\u0000\u0000\u0000\u0217\u0809"+ + "\u0001\u0000\u0000\u0000\u0219\u080d\u0001\u0000\u0000\u0000\u021b\u0811"+ + "\u0001\u0000\u0000\u0000\u021d\u0815\u0001\u0000\u0000\u0000\u021f\u0819"+ + "\u0001\u0000\u0000\u0000\u0221\u081e\u0001\u0000\u0000\u0000\u0223\u0823"+ + "\u0001\u0000\u0000\u0000\u0225\u0829\u0001\u0000\u0000\u0000\u0227\u0830"+ + "\u0001\u0000\u0000\u0000\u0229\u0834\u0001\u0000\u0000\u0000\u022b\u0838"+ + "\u0001\u0000\u0000\u0000\u022d\u083c\u0001\u0000\u0000\u0000\u022f\u0849"+ + "\u0001\u0000\u0000\u0000\u0231\u0854\u0001\u0000\u0000\u0000\u0233\u0856"+ + "\u0001\u0000\u0000\u0000\u0235\u085b\u0001\u0000\u0000\u0000\u0237\u0861"+ + "\u0001\u0000\u0000\u0000\u0239\u0865\u0001\u0000\u0000\u0000\u023b\u0869"+ + "\u0001\u0000\u0000\u0000\u023d\u086d\u0001\u0000\u0000\u0000\u023f\u0871"+ + "\u0001\u0000\u0000\u0000\u0241\u0875\u0001\u0000\u0000\u0000\u0243\u0879"+ + "\u0001\u0000\u0000\u0000\u0245\u087d\u0001\u0000\u0000\u0000\u0247\u0881"+ + "\u0001\u0000\u0000\u0000\u0249\u0885\u0001\u0000\u0000\u0000\u024b\u0888"+ + "\u0001\u0000\u0000\u0000\u024d\u088c\u0001\u0000\u0000\u0000\u024f\u0890"+ + "\u0001\u0000\u0000\u0000\u0251\u0894\u0001\u0000\u0000\u0000\u0253\u0898"+ + "\u0001\u0000\u0000\u0000\u0255\u089c\u0001\u0000\u0000\u0000\u0257\u08a0"+ + "\u0001\u0000\u0000\u0000\u0259\u08a4\u0001\u0000\u0000\u0000\u025b\u08a9"+ + "\u0001\u0000\u0000\u0000\u025d\u08ad\u0001\u0000\u0000\u0000\u025f\u08b1"+ + "\u0001\u0000\u0000\u0000\u0261\u08b5\u0001\u0000\u0000\u0000\u0263\u08b9"+ + "\u0001\u0000\u0000\u0000\u0265\u08bd\u0001\u0000\u0000\u0000\u0267\u08c1"+ + "\u0001\u0000\u0000\u0000\u0269\u08c5\u0001\u0000\u0000\u0000\u026b\u08c9"+ + "\u0001\u0000\u0000\u0000\u026d\u08cd\u0001\u0000\u0000\u0000\u026f\u08d1"+ + "\u0001\u0000\u0000\u0000\u0271\u08d5\u0001\u0000\u0000\u0000\u0273\u08d9"+ + "\u0001\u0000\u0000\u0000\u0275\u08dd\u0001\u0000\u0000\u0000\u0277\u08e1"+ + "\u0001\u0000\u0000\u0000\u0279\u08e5\u0001\u0000\u0000\u0000\u027b\u08e9"+ + "\u0001\u0000\u0000\u0000\u027d\u08ed\u0001\u0000\u0000\u0000\u027f\u08f1"+ + "\u0001\u0000\u0000\u0000\u0281\u08f5\u0001\u0000\u0000\u0000\u0283\u08f9"+ + "\u0001\u0000\u0000\u0000\u0285\u08fd\u0001\u0000\u0000\u0000\u0287\u0902"+ + "\u0001\u0000\u0000\u0000\u0289\u0907\u0001\u0000\u0000\u0000\u028b\u090b"+ + "\u0001\u0000\u0000\u0000\u028d\u090f\u0001\u0000\u0000\u0000\u028f\u0290"+ "\u0005/\u0000\u0000\u0290\u0291\u0005/\u0000\u0000\u0291\u0295\u0001\u0000"+ "\u0000\u0000\u0292\u0294\b\u0000\u0000\u0000\u0293\u0292\u0001\u0000\u0000"+ "\u0000\u0294\u0297\u0001\u0000\u0000\u0000\u0295\u0293\u0001\u0000\u0000"+ @@ -1241,708 +1232,708 @@ private boolean PROMQL_QUERY_RP_sempred(RuleContext _localctx, int predIndex) { "\u0000\u03b4\u03b5\u0007\u000b\u0000\u0000\u03b5\u03b6\u0005_\u0000\u0000"+ "\u03b6\u03b7\u0005\u8001\uf414\u0000\u0000\u03b7\u03b8\u0001\u0000\u0000"+ "\u0000\u03b8\u03b9\u0006\u001f\f\u0000\u03b9R\u0001\u0000\u0000\u0000"+ - "\u03ba\u03bb\u0004 \u0006\u0000\u03bb\u03bc\u0007\b\u0000\u0000\u03bc"+ - "\u03bd\u0007\f\u0000\u0000\u03bd\u03be\u0007\t\u0000\u0000\u03be\u03bf"+ - "\u0007\u000f\u0000\u0000\u03bf\u03c0\u0007\u0017\u0000\u0000\u03c0\u03c1"+ - "\u0007\u000e\u0000\u0000\u03c1\u03c2\u0001\u0000\u0000\u0000\u03c2\u03c3"+ - "\u0006 \r\u0000\u03c3T\u0001\u0000\u0000\u0000\u03c4\u03c5\u0007\f\u0000"+ - "\u0000\u03c5\u03c6\u0007\u0007\u0000\u0000\u03c6\u03c7\u0007\u0005\u0000"+ - "\u0000\u03c7\u03c8\u0007\u0004\u0000\u0000\u03c8\u03c9\u0007\u000f\u0000"+ - "\u0000\u03c9\u03ca\u0007\u0007\u0000\u0000\u03ca\u03cb\u0001\u0000\u0000"+ - "\u0000\u03cb\u03cc\u0006!\u000e\u0000\u03ccV\u0001\u0000\u0000\u0000\u03cd"+ - "\u03ce\u0007\u0011\u0000\u0000\u03ce\u03cf\u0007\u0007\u0000\u0000\u03cf"+ - "\u03d0\u0007\u000b\u0000\u0000\u03d0\u03d1\u0001\u0000\u0000\u0000\u03d1"+ - "\u03d2\u0006\"\u000f\u0000\u03d2X\u0001\u0000\u0000\u0000\u03d3\u03d4"+ - "\u0007\u0011\u0000\u0000\u03d4\u03d5\u0007\u0003\u0000\u0000\u03d5\u03d6"+ - "\u0007\t\u0000\u0000\u03d6\u03d7\u0007\u0014\u0000\u0000\u03d7\u03d8\u0001"+ - "\u0000\u0000\u0000\u03d8\u03d9\u0006#\u0010\u0000\u03d9Z\u0001\u0000\u0000"+ - "\u0000\u03da\u03dc\b\u0018\u0000\u0000\u03db\u03da\u0001\u0000\u0000\u0000"+ - "\u03dc\u03dd\u0001\u0000\u0000\u0000\u03dd\u03db\u0001\u0000\u0000\u0000"+ - "\u03dd\u03de\u0001\u0000\u0000\u0000\u03de\u03df\u0001\u0000\u0000\u0000"+ - "\u03df\u03e0\u0006$\u0004\u0000\u03e0\\\u0001\u0000\u0000\u0000\u03e1"+ - "\u03e2\u0003\u00b9S\u0000\u03e2\u03e3\u0001\u0000\u0000\u0000\u03e3\u03e4"+ - "\u0006%\u0011\u0000\u03e4\u03e5\u0006%\u0012\u0000\u03e5^\u0001\u0000"+ - "\u0000\u0000\u03e6\u03e7\u0003\u0131\u008f\u0000\u03e7\u03e8\u0001\u0000"+ - "\u0000\u0000\u03e8\u03e9\u0006&\u0013\u0000\u03e9\u03ea\u0006&\u0012\u0000"+ - "\u03ea\u03eb\u0006&\u0012\u0000\u03eb`\u0001\u0000\u0000\u0000\u03ec\u03ed"+ - "\u0003\u00fbt\u0000\u03ed\u03ee\u0001\u0000\u0000\u0000\u03ee\u03ef\u0006"+ - "\'\u0014\u0000\u03efb\u0001\u0000\u0000\u0000\u03f0\u03f1\u0003\u0249"+ - "\u011b\u0000\u03f1\u03f2\u0001\u0000\u0000\u0000\u03f2\u03f3\u0006(\u0015"+ - "\u0000\u03f3d\u0001\u0000\u0000\u0000\u03f4\u03f5\u0003\u00e7j\u0000\u03f5"+ - "\u03f6\u0001\u0000\u0000\u0000\u03f6\u03f7\u0006)\u0016\u0000\u03f7f\u0001"+ - "\u0000\u0000\u0000\u03f8\u03f9\u0003\u00e3h\u0000\u03f9\u03fa\u0001\u0000"+ - "\u0000\u0000\u03fa\u03fb\u0006*\u0017\u0000\u03fbh\u0001\u0000\u0000\u0000"+ - "\u03fc\u03fd\u0003\u012b\u008c\u0000\u03fd\u03fe\u0001\u0000\u0000\u0000"+ - "\u03fe\u03ff\u0006+\u0018\u0000\u03ffj\u0001\u0000\u0000\u0000\u0400\u0401"+ - "\u0003\u012d\u008d\u0000\u0401\u0402\u0001\u0000\u0000\u0000\u0402\u0403"+ - "\u0006,\u0019\u0000\u0403l\u0001\u0000\u0000\u0000\u0404\u0405\u0003\u0137"+ - "\u0092\u0000\u0405\u0406\u0001\u0000\u0000\u0000\u0406\u0407\u0006-\u001a"+ - "\u0000\u0407n\u0001\u0000\u0000\u0000\u0408\u0409\u0003\u0133\u0090\u0000"+ - "\u0409\u040a\u0001\u0000\u0000\u0000\u040a\u040b\u0006.\u001b\u0000\u040b"+ - "p\u0001\u0000\u0000\u0000\u040c\u040d\u0003\u0013\u0000\u0000\u040d\u040e"+ - "\u0001\u0000\u0000\u0000\u040e\u040f\u0006/\u0000\u0000\u040fr\u0001\u0000"+ - "\u0000\u0000\u0410\u0411\u0003\u0015\u0001\u0000\u0411\u0412\u0001\u0000"+ - "\u0000\u0000\u0412\u0413\u00060\u0000\u0000\u0413t\u0001\u0000\u0000\u0000"+ - "\u0414\u0415\u0003\u0017\u0002\u0000\u0415\u0416\u0001\u0000\u0000\u0000"+ - "\u0416\u0417\u00061\u0000\u0000\u0417v\u0001\u0000\u0000\u0000\u0418\u0419"+ - "\u0003\u00b9S\u0000\u0419\u041a\u0001\u0000\u0000\u0000\u041a\u041b\u0006"+ - "2\u0011\u0000\u041b\u041c\u00062\u0012\u0000\u041cx\u0001\u0000\u0000"+ - "\u0000\u041d\u041e\u0003\u0131\u008f\u0000\u041e\u041f\u0001\u0000\u0000"+ - "\u0000\u041f\u0420\u00063\u0013\u0000\u0420\u0421\u00063\u0012\u0000\u0421"+ - "\u0422\u00063\u0012\u0000\u0422z\u0001\u0000\u0000\u0000\u0423\u0424\u0003"+ - "\u00fbt\u0000\u0424\u0425\u0001\u0000\u0000\u0000\u0425\u0426\u00064\u0014"+ - "\u0000\u0426\u0427\u00064\u001c\u0000\u0427|\u0001\u0000\u0000\u0000\u0428"+ - "\u0429\u0003\u0105y\u0000\u0429\u042a\u0001\u0000\u0000\u0000\u042a\u042b"+ - "\u00065\u001d\u0000\u042b\u042c\u00065\u001c\u0000\u042c~\u0001\u0000"+ - "\u0000\u0000\u042d\u042e\b\u0019\u0000\u0000\u042e\u0080\u0001\u0000\u0000"+ - "\u0000\u042f\u0431\u0003\u007f6\u0000\u0430\u042f\u0001\u0000\u0000\u0000"+ - "\u0431\u0432\u0001\u0000\u0000\u0000\u0432\u0430\u0001\u0000\u0000\u0000"+ - "\u0432\u0433\u0001\u0000\u0000\u0000\u0433\u0434\u0001\u0000\u0000\u0000"+ - "\u0434\u0435\u0003\u00dff\u0000\u0435\u0437\u0001\u0000\u0000\u0000\u0436"+ - "\u0430\u0001\u0000\u0000\u0000\u0436\u0437\u0001\u0000\u0000\u0000\u0437"+ - "\u0439\u0001\u0000\u0000\u0000\u0438\u043a\u0003\u007f6\u0000\u0439\u0438"+ - "\u0001\u0000\u0000\u0000\u043a\u043b\u0001\u0000\u0000\u0000\u043b\u0439"+ - "\u0001\u0000\u0000\u0000\u043b\u043c\u0001\u0000\u0000\u0000\u043c\u0082"+ - "\u0001\u0000\u0000\u0000\u043d\u043e\u0003\u00817\u0000\u043e\u043f\u0001"+ - "\u0000\u0000\u0000\u043f\u0440\u00068\u001e\u0000\u0440\u0084\u0001\u0000"+ - "\u0000\u0000\u0441\u0442\u0003\u00cf^\u0000\u0442\u0443\u0001\u0000\u0000"+ - "\u0000\u0443\u0444\u00069\u001f\u0000\u0444\u0086\u0001\u0000\u0000\u0000"+ - "\u0445\u0446\u0003\u0013\u0000\u0000\u0446\u0447\u0001\u0000\u0000\u0000"+ - "\u0447\u0448\u0006:\u0000\u0000\u0448\u0088\u0001\u0000\u0000\u0000\u0449"+ - "\u044a\u0003\u0015\u0001\u0000\u044a\u044b\u0001\u0000\u0000\u0000\u044b"+ - "\u044c\u0006;\u0000\u0000\u044c\u008a\u0001\u0000\u0000\u0000\u044d\u044e"+ - "\u0003\u0017\u0002\u0000\u044e\u044f\u0001\u0000\u0000\u0000\u044f\u0450"+ - "\u0006<\u0000\u0000\u0450\u008c\u0001\u0000\u0000\u0000\u0451\u0452\u0003"+ - "\u00b9S\u0000\u0452\u0453\u0001\u0000\u0000\u0000\u0453\u0454\u0006=\u0011"+ - "\u0000\u0454\u0455\u0006=\u0012\u0000\u0455\u0456\u0006=\u0012\u0000\u0456"+ - "\u008e\u0001\u0000\u0000\u0000\u0457\u0458\u0003\u0131\u008f\u0000\u0458"+ - "\u0459\u0001\u0000\u0000\u0000\u0459\u045a\u0006>\u0013\u0000\u045a\u045b"+ - "\u0006>\u0012\u0000\u045b\u045c\u0006>\u0012\u0000\u045c\u045d\u0006>"+ - "\u0012\u0000\u045d\u0090\u0001\u0000\u0000\u0000\u045e\u045f\u0003\u012b"+ - "\u008c\u0000\u045f\u0460\u0001\u0000\u0000\u0000\u0460\u0461\u0006?\u0018"+ - "\u0000\u0461\u0092\u0001\u0000\u0000\u0000\u0462\u0463\u0003\u012d\u008d"+ - "\u0000\u0463\u0464\u0001\u0000\u0000\u0000\u0464\u0465\u0006@\u0019\u0000"+ - "\u0465\u0094\u0001\u0000\u0000\u0000\u0466\u0467\u0003\u00d9c\u0000\u0467"+ - "\u0468\u0001\u0000\u0000\u0000\u0468\u0469\u0006A \u0000\u0469\u0096\u0001"+ - "\u0000\u0000\u0000\u046a\u046b\u0003\u00e3h\u0000\u046b\u046c\u0001\u0000"+ - "\u0000\u0000\u046c\u046d\u0006B\u0017\u0000\u046d\u0098\u0001\u0000\u0000"+ - "\u0000\u046e\u046f\u0003\u00e7j\u0000\u046f\u0470\u0001\u0000\u0000\u0000"+ - "\u0470\u0471\u0006C\u0016\u0000\u0471\u009a\u0001\u0000\u0000\u0000\u0472"+ - "\u0473\u0003\u0105y\u0000\u0473\u0474\u0001\u0000\u0000\u0000\u0474\u0475"+ - "\u0006D\u001d\u0000\u0475\u009c\u0001\u0000\u0000\u0000\u0476\u0477\u0003"+ - "\u0205\u00f9\u0000\u0477\u0478\u0001\u0000\u0000\u0000\u0478\u0479\u0006"+ - "E!\u0000\u0479\u009e\u0001\u0000\u0000\u0000\u047a\u047b\u0003\u0137\u0092"+ - "\u0000\u047b\u047c\u0001\u0000\u0000\u0000\u047c\u047d\u0006F\u001a\u0000"+ - "\u047d\u00a0\u0001\u0000\u0000\u0000\u047e\u047f\u0003\u00ffv\u0000\u047f"+ - "\u0480\u0001\u0000\u0000\u0000\u0480\u0481\u0006G\"\u0000\u0481\u00a2"+ - "\u0001\u0000\u0000\u0000\u0482\u0483\u0003\u0127\u008a\u0000\u0483\u0484"+ - "\u0001\u0000\u0000\u0000\u0484\u0485\u0006H#\u0000\u0485\u00a4\u0001\u0000"+ - "\u0000\u0000\u0486\u0487\u0003\u0123\u0088\u0000\u0487\u0488\u0001\u0000"+ - "\u0000\u0000\u0488\u0489\u0006I$\u0000\u0489\u00a6\u0001\u0000\u0000\u0000"+ - "\u048a\u048b\u0003\u0129\u008b\u0000\u048b\u048c\u0001\u0000\u0000\u0000"+ - "\u048c\u048d\u0006J%\u0000\u048d\u00a8\u0001\u0000\u0000\u0000\u048e\u048f"+ - "\u0003\u0013\u0000\u0000\u048f\u0490\u0001\u0000\u0000\u0000\u0490\u0491"+ - "\u0006K\u0000\u0000\u0491\u00aa\u0001\u0000\u0000\u0000\u0492\u0493\u0003"+ - "\u0015\u0001\u0000\u0493\u0494\u0001\u0000\u0000\u0000\u0494\u0495\u0006"+ - "L\u0000\u0000\u0495\u00ac\u0001\u0000\u0000\u0000\u0496\u0497\u0003\u0017"+ - "\u0002\u0000\u0497\u0498\u0001\u0000\u0000\u0000\u0498\u0499\u0006M\u0000"+ - "\u0000\u0499\u00ae\u0001\u0000\u0000\u0000\u049a\u049b\u0003\u012f\u008e"+ - "\u0000\u049b\u049c\u0001\u0000\u0000\u0000\u049c\u049d\u0006N&\u0000\u049d"+ - "\u049e\u0006N\'\u0000\u049e\u00b0\u0001\u0000\u0000\u0000\u049f\u04a0"+ - "\u0003\u00b9S\u0000\u04a0\u04a1\u0001\u0000\u0000\u0000\u04a1\u04a2\u0006"+ - "O\u0011\u0000\u04a2\u04a3\u0006O\u0012\u0000\u04a3\u00b2\u0001\u0000\u0000"+ - "\u0000\u04a4\u04a5\u0003\u0017\u0002\u0000\u04a5\u04a6\u0001\u0000\u0000"+ - "\u0000\u04a6\u04a7\u0006P\u0000\u0000\u04a7\u00b4\u0001\u0000\u0000\u0000"+ - "\u04a8\u04a9\u0003\u0013\u0000\u0000\u04a9\u04aa\u0001\u0000\u0000\u0000"+ - "\u04aa\u04ab\u0006Q\u0000\u0000\u04ab\u00b6\u0001\u0000\u0000\u0000\u04ac"+ - "\u04ad\u0003\u0015\u0001\u0000\u04ad\u04ae\u0001\u0000\u0000\u0000\u04ae"+ - "\u04af\u0006R\u0000\u0000\u04af\u00b8\u0001\u0000\u0000\u0000\u04b0\u04b1"+ - "\u0005|\u0000\u0000\u04b1\u04b2\u0001\u0000\u0000\u0000\u04b2\u04b3\u0006"+ - "S\u0012\u0000\u04b3\u00ba\u0001\u0000\u0000\u0000\u04b4\u04b5\u0007\u001a"+ - "\u0000\u0000\u04b5\u00bc\u0001\u0000\u0000\u0000\u04b6\u04b7\u0007\u001b"+ - "\u0000\u0000\u04b7\u00be\u0001\u0000\u0000\u0000\u04b8\u04b9\u0005\\\u0000"+ - "\u0000\u04b9\u04ba\u0007\u001c\u0000\u0000\u04ba\u00c0\u0001\u0000\u0000"+ - "\u0000\u04bb\u04bc\b\u001d\u0000\u0000\u04bc\u00c2\u0001\u0000\u0000\u0000"+ - "\u04bd\u04bf\u0007\u0007\u0000\u0000\u04be\u04c0\u0007\u001e\u0000\u0000"+ - "\u04bf\u04be\u0001\u0000\u0000\u0000\u04bf\u04c0\u0001\u0000\u0000\u0000"+ - "\u04c0\u04c2\u0001\u0000\u0000\u0000\u04c1\u04c3\u0003\u00bbT\u0000\u04c2"+ - "\u04c1\u0001\u0000\u0000\u0000\u04c3\u04c4\u0001\u0000\u0000\u0000\u04c4"+ - "\u04c2\u0001\u0000\u0000\u0000\u04c4\u04c5\u0001\u0000\u0000\u0000\u04c5"+ - "\u00c4\u0001\u0000\u0000\u0000\u04c6\u04c7\u0005@\u0000\u0000\u04c7\u00c6"+ - "\u0001\u0000\u0000\u0000\u04c8\u04c9\u0005`\u0000\u0000\u04c9\u00c8\u0001"+ - "\u0000\u0000\u0000\u04ca\u04ce\b\u001f\u0000\u0000\u04cb\u04cc\u0005`"+ - "\u0000\u0000\u04cc\u04ce\u0005`\u0000\u0000\u04cd\u04ca\u0001\u0000\u0000"+ - "\u0000\u04cd\u04cb\u0001\u0000\u0000\u0000\u04ce\u00ca\u0001\u0000\u0000"+ - "\u0000\u04cf\u04d0\u0005_\u0000\u0000\u04d0\u00cc\u0001\u0000\u0000\u0000"+ - "\u04d1\u04d5\u0003\u00bdU\u0000\u04d2\u04d5\u0003\u00bbT\u0000\u04d3\u04d5"+ - "\u0003\u00cb\\\u0000\u04d4\u04d1\u0001\u0000\u0000\u0000\u04d4\u04d2\u0001"+ - "\u0000\u0000\u0000\u04d4\u04d3\u0001\u0000\u0000\u0000\u04d5\u00ce\u0001"+ - "\u0000\u0000\u0000\u04d6\u04db\u0005\"\u0000\u0000\u04d7\u04da\u0003\u00bf"+ - "V\u0000\u04d8\u04da\u0003\u00c1W\u0000\u04d9\u04d7\u0001\u0000\u0000\u0000"+ - "\u04d9\u04d8\u0001\u0000\u0000\u0000\u04da\u04dd\u0001\u0000\u0000\u0000"+ - "\u04db\u04d9\u0001\u0000\u0000\u0000\u04db\u04dc\u0001\u0000\u0000\u0000"+ - "\u04dc\u04de\u0001\u0000\u0000\u0000\u04dd\u04db\u0001\u0000\u0000\u0000"+ - "\u04de\u04f4\u0005\"\u0000\u0000\u04df\u04e0\u0005\"\u0000\u0000\u04e0"+ - "\u04e1\u0005\"\u0000\u0000\u04e1\u04e2\u0005\"\u0000\u0000\u04e2\u04e6"+ - "\u0001\u0000\u0000\u0000\u04e3\u04e5\b\u0000\u0000\u0000\u04e4\u04e3\u0001"+ - "\u0000\u0000\u0000\u04e5\u04e8\u0001\u0000\u0000\u0000\u04e6\u04e7\u0001"+ - "\u0000\u0000\u0000\u04e6\u04e4\u0001\u0000\u0000\u0000\u04e7\u04e9\u0001"+ - "\u0000\u0000\u0000\u04e8\u04e6\u0001\u0000\u0000\u0000\u04e9\u04ea\u0005"+ - "\"\u0000\u0000\u04ea\u04eb\u0005\"\u0000\u0000\u04eb\u04ec\u0005\"\u0000"+ - "\u0000\u04ec\u04ee\u0001\u0000\u0000\u0000\u04ed\u04ef\u0005\"\u0000\u0000"+ - "\u04ee\u04ed\u0001\u0000\u0000\u0000\u04ee\u04ef\u0001\u0000\u0000\u0000"+ - "\u04ef\u04f1\u0001\u0000\u0000\u0000\u04f0\u04f2\u0005\"\u0000\u0000\u04f1"+ - "\u04f0\u0001\u0000\u0000\u0000\u04f1\u04f2\u0001\u0000\u0000\u0000\u04f2"+ - "\u04f4\u0001\u0000\u0000\u0000\u04f3\u04d6\u0001\u0000\u0000\u0000\u04f3"+ - "\u04df\u0001\u0000\u0000\u0000\u04f4\u00d0\u0001\u0000\u0000\u0000\u04f5"+ - "\u04f7\u0003\u00bbT\u0000\u04f6\u04f5\u0001\u0000\u0000\u0000\u04f7\u04f8"+ - "\u0001\u0000\u0000\u0000\u04f8\u04f6\u0001\u0000\u0000\u0000\u04f8\u04f9"+ - "\u0001\u0000\u0000\u0000\u04f9\u00d2\u0001\u0000\u0000\u0000\u04fa\u04fc"+ - "\u0003\u00bbT\u0000\u04fb\u04fa\u0001\u0000\u0000\u0000\u04fc\u04fd\u0001"+ - "\u0000\u0000\u0000\u04fd\u04fb\u0001\u0000\u0000\u0000\u04fd\u04fe\u0001"+ - "\u0000\u0000\u0000\u04fe\u04ff\u0001\u0000\u0000\u0000\u04ff\u0503\u0003"+ - "\u00e7j\u0000\u0500\u0502\u0003\u00bbT\u0000\u0501\u0500\u0001\u0000\u0000"+ - "\u0000\u0502\u0505\u0001\u0000\u0000\u0000\u0503\u0501\u0001\u0000\u0000"+ - "\u0000\u0503\u0504\u0001\u0000\u0000\u0000\u0504\u0525\u0001\u0000\u0000"+ - "\u0000\u0505\u0503\u0001\u0000\u0000\u0000\u0506\u0508\u0003\u00e7j\u0000"+ - "\u0507\u0509\u0003\u00bbT\u0000\u0508\u0507\u0001\u0000\u0000\u0000\u0509"+ - "\u050a\u0001\u0000\u0000\u0000\u050a\u0508\u0001\u0000\u0000\u0000\u050a"+ - "\u050b\u0001\u0000\u0000\u0000\u050b\u0525\u0001\u0000\u0000\u0000\u050c"+ - "\u050e\u0003\u00bbT\u0000\u050d\u050c\u0001\u0000\u0000\u0000\u050e\u050f"+ - "\u0001\u0000\u0000\u0000\u050f\u050d\u0001\u0000\u0000\u0000\u050f\u0510"+ - "\u0001\u0000\u0000\u0000\u0510\u0518\u0001\u0000\u0000\u0000\u0511\u0515"+ - "\u0003\u00e7j\u0000\u0512\u0514\u0003\u00bbT\u0000\u0513\u0512\u0001\u0000"+ - "\u0000\u0000\u0514\u0517\u0001\u0000\u0000\u0000\u0515\u0513\u0001\u0000"+ - "\u0000\u0000\u0515\u0516\u0001\u0000\u0000\u0000\u0516\u0519\u0001\u0000"+ - "\u0000\u0000\u0517\u0515\u0001\u0000\u0000\u0000\u0518\u0511\u0001\u0000"+ - "\u0000\u0000\u0518\u0519\u0001\u0000\u0000\u0000\u0519\u051a\u0001\u0000"+ - "\u0000\u0000\u051a\u051b\u0003\u00c3X\u0000\u051b\u0525\u0001\u0000\u0000"+ - "\u0000\u051c\u051e\u0003\u00e7j\u0000\u051d\u051f\u0003\u00bbT\u0000\u051e"+ - "\u051d\u0001\u0000\u0000\u0000\u051f\u0520\u0001\u0000\u0000\u0000\u0520"+ - "\u051e\u0001\u0000\u0000\u0000\u0520\u0521\u0001\u0000\u0000\u0000\u0521"+ - "\u0522\u0001\u0000\u0000\u0000\u0522\u0523\u0003\u00c3X\u0000\u0523\u0525"+ - "\u0001\u0000\u0000\u0000\u0524\u04fb\u0001\u0000\u0000\u0000\u0524\u0506"+ - "\u0001\u0000\u0000\u0000\u0524\u050d\u0001\u0000\u0000\u0000\u0524\u051c"+ - "\u0001\u0000\u0000\u0000\u0525\u00d4\u0001\u0000\u0000\u0000\u0526\u0527"+ - "\u0007\u0004\u0000\u0000\u0527\u0528\u0007\u0005\u0000\u0000\u0528\u0529"+ - "\u0007\u0010\u0000\u0000\u0529\u00d6\u0001\u0000\u0000\u0000\u052a\u052b"+ - "\u0007\u0004\u0000\u0000\u052b\u052c\u0007\u0011\u0000\u0000\u052c\u052d"+ - "\u0007\u0002\u0000\u0000\u052d\u00d8\u0001\u0000\u0000\u0000\u052e\u052f"+ - "\u0005=\u0000\u0000\u052f\u00da\u0001\u0000\u0000\u0000\u0530\u0531\u0007"+ - " \u0000\u0000\u0531\u0532\u0007!\u0000\u0000\u0532\u00dc\u0001\u0000\u0000"+ - "\u0000\u0533\u0534\u0005:\u0000\u0000\u0534\u0535\u0005:\u0000\u0000\u0535"+ - "\u00de\u0001\u0000\u0000\u0000\u0536\u0537\u0005:\u0000\u0000\u0537\u00e0"+ - "\u0001\u0000\u0000\u0000\u0538\u0539\u0005;\u0000\u0000\u0539\u00e2\u0001"+ - "\u0000\u0000\u0000\u053a\u053b\u0005,\u0000\u0000\u053b\u00e4\u0001\u0000"+ - "\u0000\u0000\u053c\u053d\u0007\u0010\u0000\u0000\u053d\u053e\u0007\u0007"+ - "\u0000\u0000\u053e\u053f\u0007\u0011\u0000\u0000\u053f\u0540\u0007\u0002"+ - "\u0000\u0000\u0540\u00e6\u0001\u0000\u0000\u0000\u0541\u0542\u0005.\u0000"+ - "\u0000\u0542\u00e8\u0001\u0000\u0000\u0000\u0543\u0544\u0007\u0015\u0000"+ - "\u0000\u0544\u0545\u0007\u0004\u0000\u0000\u0545\u0546\u0007\u000e\u0000"+ - "\u0000\u0546\u0547\u0007\u0011\u0000\u0000\u0547\u0548\u0007\u0007\u0000"+ - "\u0000\u0548\u00ea\u0001\u0000\u0000\u0000\u0549\u054a\u0007\u0015\u0000"+ - "\u0000\u054a\u054b\u0007\n\u0000\u0000\u054b\u054c\u0007\f\u0000\u0000"+ - "\u054c\u054d\u0007\u0011\u0000\u0000\u054d\u054e\u0007\u000b\u0000\u0000"+ - "\u054e\u00ec\u0001\u0000\u0000\u0000\u054f\u0550\u0007\n\u0000\u0000\u0550"+ - "\u0551\u0007\u0005\u0000\u0000\u0551\u00ee\u0001\u0000\u0000\u0000\u0552"+ - "\u0553\u0007\n\u0000\u0000\u0553\u0554\u0007\u0011\u0000\u0000\u0554\u00f0"+ - "\u0001\u0000\u0000\u0000\u0555\u0556\u0007\u000e\u0000\u0000\u0556\u0557"+ - "\u0007\u0004\u0000\u0000\u0557\u0558\u0007\u0011\u0000\u0000\u0558\u0559"+ - "\u0007\u000b\u0000\u0000\u0559\u00f2\u0001\u0000\u0000\u0000\u055a\u055b"+ - "\u0007\u000e\u0000\u0000\u055b\u055c\u0007\n\u0000\u0000\u055c\u055d\u0007"+ - "\u0013\u0000\u0000\u055d\u055e\u0007\u0007\u0000\u0000\u055e\u00f4\u0001"+ - "\u0000\u0000\u0000\u055f\u0560\u0007\u0005\u0000\u0000\u0560\u0561\u0007"+ - "\t\u0000\u0000\u0561\u0562\u0007\u000b\u0000\u0000\u0562\u00f6\u0001\u0000"+ - "\u0000\u0000\u0563\u0564\u0007\u0005\u0000\u0000\u0564\u0565\u0007\u0016"+ - "\u0000\u0000\u0565\u0566\u0007\u000e\u0000\u0000\u0566\u0567\u0007\u000e"+ - "\u0000\u0000\u0567\u00f8\u0001\u0000\u0000\u0000\u0568\u0569\u0007\u0005"+ - "\u0000\u0000\u0569\u056a\u0007\u0016\u0000\u0000\u056a\u056b\u0007\u000e"+ - "\u0000\u0000\u056b\u056c\u0007\u000e\u0000\u0000\u056c\u056d\u0007\u0011"+ - "\u0000\u0000\u056d\u00fa\u0001\u0000\u0000\u0000\u056e\u056f\u0007\t\u0000"+ - "\u0000\u056f\u0570\u0007\u0005\u0000\u0000\u0570\u00fc\u0001\u0000\u0000"+ - "\u0000\u0571\u0572\u0007\t\u0000\u0000\u0572\u0573\u0007\f\u0000\u0000"+ - "\u0573\u00fe\u0001\u0000\u0000\u0000\u0574\u0575\u0005?\u0000\u0000\u0575"+ - "\u0100\u0001\u0000\u0000\u0000\u0576\u0577\u0007\f\u0000\u0000\u0577\u0578"+ - "\u0007\u000e\u0000\u0000\u0578\u0579\u0007\n\u0000\u0000\u0579\u057a\u0007"+ - "\u0013\u0000\u0000\u057a\u057b\u0007\u0007\u0000\u0000\u057b\u0102\u0001"+ - "\u0000\u0000\u0000\u057c\u057d\u0007\u000b\u0000\u0000\u057d\u057e\u0007"+ - "\f\u0000\u0000\u057e\u057f\u0007\u0016\u0000\u0000\u057f\u0580\u0007\u0007"+ - "\u0000\u0000\u0580\u0104\u0001\u0000\u0000\u0000\u0581\u0582\u0007\u0014"+ - "\u0000\u0000\u0582\u0583\u0007\n\u0000\u0000\u0583\u0584\u0007\u000b\u0000"+ - "\u0000\u0584\u0585\u0007\u0003\u0000\u0000\u0585\u0106\u0001\u0000\u0000"+ - "\u0000\u0586\u0587\u0005=\u0000\u0000\u0587\u0588\u0005=\u0000\u0000\u0588"+ - "\u0108\u0001\u0000\u0000\u0000\u0589\u058a\u0005=\u0000\u0000\u058a\u058b"+ - "\u0005~\u0000\u0000\u058b\u010a\u0001\u0000\u0000\u0000\u058c\u058d\u0005"+ - "!\u0000\u0000\u058d\u058e\u0005=\u0000\u0000\u058e\u010c\u0001\u0000\u0000"+ - "\u0000\u058f\u0590\u0005<\u0000\u0000\u0590\u010e\u0001\u0000\u0000\u0000"+ - "\u0591\u0592\u0005<\u0000\u0000\u0592\u0593\u0005=\u0000\u0000\u0593\u0110"+ - "\u0001\u0000\u0000\u0000\u0594\u0595\u0005>\u0000\u0000\u0595\u0112\u0001"+ - "\u0000\u0000\u0000\u0596\u0597\u0005>\u0000\u0000\u0597\u0598\u0005=\u0000"+ - "\u0000\u0598\u0114\u0001\u0000\u0000\u0000\u0599\u059a\u0005+\u0000\u0000"+ - "\u059a\u0116\u0001\u0000\u0000\u0000\u059b\u059c\u0005-\u0000\u0000\u059c"+ - "\u0118\u0001\u0000\u0000\u0000\u059d\u059e\u0005*\u0000\u0000\u059e\u011a"+ - "\u0001\u0000\u0000\u0000\u059f\u05a0\u0005/\u0000\u0000\u05a0\u011c\u0001"+ - "\u0000\u0000\u0000\u05a1\u05a2\u0005%\u0000\u0000\u05a2\u011e\u0001\u0000"+ - "\u0000\u0000\u05a3\u05a4\u0005{\u0000\u0000\u05a4\u0120\u0001\u0000\u0000"+ - "\u0000\u05a5\u05a6\u0005}\u0000\u0000\u05a6\u0122\u0001\u0000\u0000\u0000"+ - "\u05a7\u05a8\u0005?\u0000\u0000\u05a8\u05a9\u0005?\u0000\u0000\u05a9\u0124"+ - "\u0001\u0000\u0000\u0000\u05aa\u05ab\u00033\u0010\u0000\u05ab\u05ac\u0001"+ - "\u0000\u0000\u0000\u05ac\u05ad\u0006\u0089(\u0000\u05ad\u0126\u0001\u0000"+ - "\u0000\u0000\u05ae\u05b1\u0003\u00ffv\u0000\u05af\u05b2\u0003\u00bdU\u0000"+ - "\u05b0\u05b2\u0003\u00cb\\\u0000\u05b1\u05af\u0001\u0000\u0000\u0000\u05b1"+ - "\u05b0\u0001\u0000\u0000\u0000\u05b2\u05b6\u0001\u0000\u0000\u0000\u05b3"+ - "\u05b5\u0003\u00cd]\u0000\u05b4\u05b3\u0001\u0000\u0000\u0000\u05b5\u05b8"+ - "\u0001\u0000\u0000\u0000\u05b6\u05b4\u0001\u0000\u0000\u0000\u05b6\u05b7"+ - "\u0001\u0000\u0000\u0000\u05b7\u05c0\u0001\u0000\u0000\u0000\u05b8\u05b6"+ - "\u0001\u0000\u0000\u0000\u05b9\u05bb\u0003\u00ffv\u0000\u05ba\u05bc\u0003"+ - "\u00bbT\u0000\u05bb\u05ba\u0001\u0000\u0000\u0000\u05bc\u05bd\u0001\u0000"+ - "\u0000\u0000\u05bd\u05bb\u0001\u0000\u0000\u0000\u05bd\u05be\u0001\u0000"+ - "\u0000\u0000\u05be\u05c0\u0001\u0000\u0000\u0000\u05bf\u05ae\u0001\u0000"+ - "\u0000\u0000\u05bf\u05b9\u0001\u0000\u0000\u0000\u05c0\u0128\u0001\u0000"+ - "\u0000\u0000\u05c1\u05c4\u0003\u0123\u0088\u0000\u05c2\u05c5\u0003\u00bd"+ - "U\u0000\u05c3\u05c5\u0003\u00cb\\\u0000\u05c4\u05c2\u0001\u0000\u0000"+ - "\u0000\u05c4\u05c3\u0001\u0000\u0000\u0000\u05c5\u05c9\u0001\u0000\u0000"+ - "\u0000\u05c6\u05c8\u0003\u00cd]\u0000\u05c7\u05c6\u0001\u0000\u0000\u0000"+ - "\u05c8\u05cb\u0001\u0000\u0000\u0000\u05c9\u05c7\u0001\u0000\u0000\u0000"+ - "\u05c9\u05ca\u0001\u0000\u0000\u0000\u05ca\u05d3\u0001\u0000\u0000\u0000"+ - "\u05cb\u05c9\u0001\u0000\u0000\u0000\u05cc\u05ce\u0003\u0123\u0088\u0000"+ - "\u05cd\u05cf\u0003\u00bbT\u0000\u05ce\u05cd\u0001\u0000\u0000\u0000\u05cf"+ - "\u05d0\u0001\u0000\u0000\u0000\u05d0\u05ce\u0001\u0000\u0000\u0000\u05d0"+ - "\u05d1\u0001\u0000\u0000\u0000\u05d1\u05d3\u0001\u0000\u0000\u0000\u05d2"+ - "\u05c1\u0001\u0000\u0000\u0000\u05d2\u05cc\u0001\u0000\u0000\u0000\u05d3"+ - "\u012a\u0001\u0000\u0000\u0000\u05d4\u05d5\u0005[\u0000\u0000\u05d5\u05d6"+ - "\u0001\u0000\u0000\u0000\u05d6\u05d7\u0006\u008c\u0004\u0000\u05d7\u05d8"+ - "\u0006\u008c\u0004\u0000\u05d8\u012c\u0001\u0000\u0000\u0000\u05d9\u05da"+ - "\u0005]\u0000\u0000\u05da\u05db\u0001\u0000\u0000\u0000\u05db\u05dc\u0006"+ - "\u008d\u0012\u0000\u05dc\u05dd\u0006\u008d\u0012\u0000\u05dd\u012e\u0001"+ - "\u0000\u0000\u0000\u05de\u05df\u0005(\u0000\u0000\u05df\u05e0\u0001\u0000"+ - "\u0000\u0000\u05e0\u05e1\u0006\u008e\u0004\u0000\u05e1\u05e2\u0006\u008e"+ - "\u0004\u0000\u05e2\u0130\u0001\u0000\u0000\u0000\u05e3\u05e4\u0005)\u0000"+ - "\u0000\u05e4\u05e5\u0001\u0000\u0000\u0000\u05e5\u05e6\u0006\u008f\u0012"+ - "\u0000\u05e6\u05e7\u0006\u008f\u0012\u0000\u05e7\u0132\u0001\u0000\u0000"+ - "\u0000\u05e8\u05ec\u0003\u00bdU\u0000\u05e9\u05eb\u0003\u00cd]\u0000\u05ea"+ - "\u05e9\u0001\u0000\u0000\u0000\u05eb\u05ee\u0001\u0000\u0000\u0000\u05ec"+ - "\u05ea\u0001\u0000\u0000\u0000\u05ec\u05ed\u0001\u0000\u0000\u0000\u05ed"+ - "\u05f9\u0001\u0000\u0000\u0000\u05ee\u05ec\u0001\u0000\u0000\u0000\u05ef"+ - "\u05f2\u0003\u00cb\\\u0000\u05f0\u05f2\u0003\u00c5Y\u0000\u05f1\u05ef"+ - "\u0001\u0000\u0000\u0000\u05f1\u05f0\u0001\u0000\u0000\u0000\u05f2\u05f4"+ - "\u0001\u0000\u0000\u0000\u05f3\u05f5\u0003\u00cd]\u0000\u05f4\u05f3\u0001"+ - "\u0000\u0000\u0000\u05f5\u05f6\u0001\u0000\u0000\u0000\u05f6\u05f4\u0001"+ - "\u0000\u0000\u0000\u05f6\u05f7\u0001\u0000\u0000\u0000\u05f7\u05f9\u0001"+ - "\u0000\u0000\u0000\u05f8\u05e8\u0001\u0000\u0000\u0000\u05f8\u05f1\u0001"+ - "\u0000\u0000\u0000\u05f9\u0134\u0001\u0000\u0000\u0000\u05fa\u05fc\u0003"+ - "\u00c7Z\u0000\u05fb\u05fd\u0003\u00c9[\u0000\u05fc\u05fb\u0001\u0000\u0000"+ - "\u0000\u05fd\u05fe\u0001\u0000\u0000\u0000\u05fe\u05fc\u0001\u0000\u0000"+ - "\u0000\u05fe\u05ff\u0001\u0000\u0000\u0000\u05ff\u0600\u0001\u0000\u0000"+ - "\u0000\u0600\u0601\u0003\u00c7Z\u0000\u0601\u0136\u0001\u0000\u0000\u0000"+ - "\u0602\u0603\u0003\u0135\u0091\u0000\u0603\u0138\u0001\u0000\u0000\u0000"+ - "\u0604\u0605\u0003\u0013\u0000\u0000\u0605\u0606\u0001\u0000\u0000\u0000"+ - "\u0606\u0607\u0006\u0093\u0000\u0000\u0607\u013a\u0001\u0000\u0000\u0000"+ - "\u0608\u0609\u0003\u0015\u0001\u0000\u0609\u060a\u0001\u0000\u0000\u0000"+ - "\u060a\u060b\u0006\u0094\u0000\u0000\u060b\u013c\u0001\u0000\u0000\u0000"+ - "\u060c\u060d\u0003\u0017\u0002\u0000\u060d\u060e\u0001\u0000\u0000\u0000"+ - "\u060e\u060f\u0006\u0095\u0000\u0000\u060f\u013e\u0001\u0000\u0000\u0000"+ - "\u0610\u0611\u0003\u00b9S\u0000\u0611\u0612\u0001\u0000\u0000\u0000\u0612"+ - "\u0613\u0006\u0096\u0011\u0000\u0613\u0614\u0006\u0096\u0012\u0000\u0614"+ - "\u0140\u0001\u0000\u0000\u0000\u0615\u0616\u0003\u00dff\u0000\u0616\u0617"+ - "\u0001\u0000\u0000\u0000\u0617\u0618\u0006\u0097)\u0000\u0618\u0142\u0001"+ - "\u0000\u0000\u0000\u0619\u061a\u0003\u00dde\u0000\u061a\u061b\u0001\u0000"+ - "\u0000\u0000\u061b\u061c\u0006\u0098*\u0000\u061c\u0144\u0001\u0000\u0000"+ - "\u0000\u061d\u061e\u0003\u00e3h\u0000\u061e\u061f\u0001\u0000\u0000\u0000"+ - "\u061f\u0620\u0006\u0099\u0017\u0000\u0620\u0146\u0001\u0000\u0000\u0000"+ - "\u0621\u0622\u0003\u00d9c\u0000\u0622\u0623\u0001\u0000\u0000\u0000\u0623"+ - "\u0624\u0006\u009a \u0000\u0624\u0148\u0001\u0000\u0000\u0000\u0625\u0626"+ - "\u0007\u000f\u0000\u0000\u0626\u0627\u0007\u0007\u0000\u0000\u0627\u0628"+ - "\u0007\u000b\u0000\u0000\u0628\u0629\u0007\u0004\u0000\u0000\u0629\u062a"+ - "\u0007\u0010\u0000\u0000\u062a\u062b\u0007\u0004\u0000\u0000\u062b\u062c"+ - "\u0007\u000b\u0000\u0000\u062c\u062d\u0007\u0004\u0000\u0000\u062d\u014a"+ - "\u0001\u0000\u0000\u0000\u062e\u062f\u0003\u0131\u008f\u0000\u062f\u0630"+ - "\u0001\u0000\u0000\u0000\u0630\u0631\u0006\u009c\u0013\u0000\u0631\u0632"+ - "\u0006\u009c\u0012\u0000\u0632\u0633\u0006\u009c\u0012\u0000\u0633\u014c"+ - "\u0001\u0000\u0000\u0000\u0634\u0635\u0003\u012f\u008e\u0000\u0635\u0636"+ - "\u0001\u0000\u0000\u0000\u0636\u0637\u0006\u009d&\u0000\u0637\u0638\u0006"+ - "\u009d\'\u0000\u0638\u014e\u0001\u0000\u0000\u0000\u0639\u063d\b\"\u0000"+ - "\u0000\u063a\u063b\u0005/\u0000\u0000\u063b\u063d\b#\u0000\u0000\u063c"+ - "\u0639\u0001\u0000\u0000\u0000\u063c\u063a\u0001\u0000\u0000\u0000\u063d"+ - "\u0150\u0001\u0000\u0000\u0000\u063e\u0640\u0003\u014f\u009e\u0000\u063f"+ - "\u063e\u0001\u0000\u0000\u0000\u0640\u0641\u0001\u0000\u0000\u0000\u0641"+ - "\u063f\u0001\u0000\u0000\u0000\u0641\u0642\u0001\u0000\u0000\u0000\u0642"+ - "\u0152\u0001\u0000\u0000\u0000\u0643\u0644\u0003\u0151\u009f\u0000\u0644"+ - "\u0645\u0001\u0000\u0000\u0000\u0645\u0646\u0006\u00a0+\u0000\u0646\u0154"+ - "\u0001\u0000\u0000\u0000\u0647\u0648\u0003\u00cf^\u0000\u0648\u0649\u0001"+ - "\u0000\u0000\u0000\u0649\u064a\u0006\u00a1\u001f\u0000\u064a\u0156\u0001"+ - "\u0000\u0000\u0000\u064b\u064c\u0003\u0013\u0000\u0000\u064c\u064d\u0001"+ - "\u0000\u0000\u0000\u064d\u064e\u0006\u00a2\u0000\u0000\u064e\u0158\u0001"+ - "\u0000\u0000\u0000\u064f\u0650\u0003\u0015\u0001\u0000\u0650\u0651\u0001"+ - "\u0000\u0000\u0000\u0651\u0652\u0006\u00a3\u0000\u0000\u0652\u015a\u0001"+ - "\u0000\u0000\u0000\u0653\u0654\u0003\u0017\u0002\u0000\u0654\u0655\u0001"+ - "\u0000\u0000\u0000\u0655\u0656\u0006\u00a4\u0000\u0000\u0656\u015c\u0001"+ - "\u0000\u0000\u0000\u0657\u0658\u0003\u012f\u008e\u0000\u0658\u0659\u0001"+ - "\u0000\u0000\u0000\u0659\u065a\u0006\u00a5&\u0000\u065a\u065b\u0006\u00a5"+ - "\'\u0000\u065b\u015e\u0001\u0000\u0000\u0000\u065c\u065d\u0003\u0131\u008f"+ - "\u0000\u065d\u065e\u0001\u0000\u0000\u0000\u065e\u065f\u0006\u00a6\u0013"+ - "\u0000\u065f\u0660\u0006\u00a6\u0012\u0000\u0660\u0661\u0006\u00a6\u0012"+ - "\u0000\u0661\u0160\u0001\u0000\u0000\u0000\u0662\u0663\u0003\u00b9S\u0000"+ - "\u0663\u0664\u0001\u0000\u0000\u0000\u0664\u0665\u0006\u00a7\u0011\u0000"+ - "\u0665\u0666\u0006\u00a7\u0012\u0000\u0666\u0162\u0001\u0000\u0000\u0000"+ - "\u0667\u0668\u0003\u0017\u0002\u0000\u0668\u0669\u0001\u0000\u0000\u0000"+ - "\u0669\u066a\u0006\u00a8\u0000\u0000\u066a\u0164\u0001\u0000\u0000\u0000"+ - "\u066b\u066c\u0003\u0013\u0000\u0000\u066c\u066d\u0001\u0000\u0000\u0000"+ - "\u066d\u066e\u0006\u00a9\u0000\u0000\u066e\u0166\u0001\u0000\u0000\u0000"+ - "\u066f\u0670\u0003\u0015\u0001\u0000\u0670\u0671\u0001\u0000\u0000\u0000"+ - "\u0671\u0672\u0006\u00aa\u0000\u0000\u0672\u0168\u0001\u0000\u0000\u0000"+ - "\u0673\u0674\u0003\u00b9S\u0000\u0674\u0675\u0001\u0000\u0000\u0000\u0675"+ - "\u0676\u0006\u00ab\u0011\u0000\u0676\u0677\u0006\u00ab\u0012\u0000\u0677"+ - "\u016a\u0001\u0000\u0000\u0000\u0678\u0679\u0003\u0131\u008f\u0000\u0679"+ - "\u067a\u0001\u0000\u0000\u0000\u067a\u067b\u0006\u00ac\u0013\u0000\u067b"+ - "\u067c\u0006\u00ac\u0012\u0000\u067c\u067d\u0006\u00ac\u0012\u0000\u067d"+ - "\u016c\u0001\u0000\u0000\u0000\u067e\u067f\u0007\u0006\u0000\u0000\u067f"+ - "\u0680\u0007\f\u0000\u0000\u0680\u0681\u0007\t\u0000\u0000\u0681\u0682"+ - "\u0007\u0016\u0000\u0000\u0682\u0683\u0007\b\u0000\u0000\u0683\u016e\u0001"+ - "\u0000\u0000\u0000\u0684\u0685\u0007\u0011\u0000\u0000\u0685\u0686\u0007"+ - "\u0002\u0000\u0000\u0686\u0687\u0007\t\u0000\u0000\u0687\u0688\u0007\f"+ - "\u0000\u0000\u0688\u0689\u0007\u0007\u0000\u0000\u0689\u0170\u0001\u0000"+ - "\u0000\u0000\u068a\u068b\u0007\u0013\u0000\u0000\u068b\u068c\u0007\u0007"+ - "\u0000\u0000\u068c\u068d\u0007!\u0000\u0000\u068d\u0172\u0001\u0000\u0000"+ - "\u0000\u068e\u068f\u0003\u0105y\u0000\u068f\u0690\u0001\u0000\u0000\u0000"+ - "\u0690\u0691\u0006\u00b0\u001d\u0000\u0691\u0692\u0006\u00b0\u0012\u0000"+ - "\u0692\u0693\u0006\u00b0\u0004\u0000\u0693\u0174\u0001\u0000\u0000\u0000"+ - "\u0694\u0695\u0003\u00e3h\u0000\u0695\u0696\u0001\u0000\u0000\u0000\u0696"+ - "\u0697\u0006\u00b1\u0017\u0000\u0697\u0176\u0001\u0000\u0000\u0000\u0698"+ - "\u0699\u0003\u00e7j\u0000\u0699\u069a\u0001\u0000\u0000\u0000\u069a\u069b"+ - "\u0006\u00b2\u0016\u0000\u069b\u0178\u0001\u0000\u0000\u0000\u069c\u069d"+ - "\u0003\u00ffv\u0000\u069d\u069e\u0001\u0000\u0000\u0000\u069e\u069f\u0006"+ - "\u00b3\"\u0000\u069f\u017a\u0001\u0000\u0000\u0000\u06a0\u06a1\u0003\u0127"+ - "\u008a\u0000\u06a1\u06a2\u0001\u0000\u0000\u0000\u06a2\u06a3\u0006\u00b4"+ - "#\u0000\u06a3\u017c\u0001\u0000\u0000\u0000\u06a4\u06a5\u0003\u0123\u0088"+ - "\u0000\u06a5\u06a6\u0001\u0000\u0000\u0000\u06a6\u06a7\u0006\u00b5$\u0000"+ - "\u06a7\u017e\u0001\u0000\u0000\u0000\u06a8\u06a9\u0003\u0129\u008b\u0000"+ - "\u06a9\u06aa\u0001\u0000\u0000\u0000\u06aa\u06ab\u0006\u00b6%\u0000\u06ab"+ - "\u0180\u0001\u0000\u0000\u0000\u06ac\u06ad\u0003\u00dbd\u0000\u06ad\u06ae"+ - "\u0001\u0000\u0000\u0000\u06ae\u06af\u0006\u00b7,\u0000\u06af\u0182\u0001"+ - "\u0000\u0000\u0000\u06b0\u06b1\u0003\u0137\u0092\u0000\u06b1\u06b2\u0001"+ - "\u0000\u0000\u0000\u06b2\u06b3\u0006\u00b8\u001a\u0000\u06b3\u0184\u0001"+ - "\u0000\u0000\u0000\u06b4\u06b5\u0003\u0133\u0090\u0000\u06b5\u06b6\u0001"+ - "\u0000\u0000\u0000\u06b6\u06b7\u0006\u00b9\u001b\u0000\u06b7\u0186\u0001"+ - "\u0000\u0000\u0000\u06b8\u06b9\u0003\u0013\u0000\u0000\u06b9\u06ba\u0001"+ - "\u0000\u0000\u0000\u06ba\u06bb\u0006\u00ba\u0000\u0000\u06bb\u0188\u0001"+ - "\u0000\u0000\u0000\u06bc\u06bd\u0003\u0015\u0001\u0000\u06bd\u06be\u0001"+ - "\u0000\u0000\u0000\u06be\u06bf\u0006\u00bb\u0000\u0000\u06bf\u018a\u0001"+ - "\u0000\u0000\u0000\u06c0\u06c1\u0003\u0017\u0002\u0000\u06c1\u06c2\u0001"+ - "\u0000\u0000\u0000\u06c2\u06c3\u0006\u00bc\u0000\u0000\u06c3\u018c\u0001"+ - "\u0000\u0000\u0000\u06c4\u06c5\u0007\u0011\u0000\u0000\u06c5\u06c6\u0007"+ - "\u000b\u0000\u0000\u06c6\u06c7\u0007\u0004\u0000\u0000\u06c7\u06c8\u0007"+ - "\u000b\u0000\u0000\u06c8\u06c9\u0007\u0011\u0000\u0000\u06c9\u06ca\u0001"+ - "\u0000\u0000\u0000\u06ca\u06cb\u0006\u00bd\u0012\u0000\u06cb\u06cc\u0006"+ - "\u00bd\u0004\u0000\u06cc\u018e\u0001\u0000\u0000\u0000\u06cd\u06ce\u0003"+ - "\u0013\u0000\u0000\u06ce\u06cf\u0001\u0000\u0000\u0000\u06cf\u06d0\u0006"+ - "\u00be\u0000\u0000\u06d0\u0190\u0001\u0000\u0000\u0000\u06d1\u06d2\u0003"+ - "\u0015\u0001\u0000\u06d2\u06d3\u0001\u0000\u0000\u0000\u06d3\u06d4\u0006"+ - "\u00bf\u0000\u0000\u06d4\u0192\u0001\u0000\u0000\u0000\u06d5\u06d6\u0003"+ - "\u0017\u0002\u0000\u06d6\u06d7\u0001\u0000\u0000\u0000\u06d7\u06d8\u0006"+ - "\u00c0\u0000\u0000\u06d8\u0194\u0001\u0000\u0000\u0000\u06d9\u06da\u0003"+ - "\u00b9S\u0000\u06da\u06db\u0001\u0000\u0000\u0000\u06db\u06dc\u0006\u00c1"+ - "\u0011\u0000\u06dc\u06dd\u0006\u00c1\u0012\u0000\u06dd\u0196\u0001\u0000"+ - "\u0000\u0000\u06de\u06df\u0007$\u0000\u0000\u06df\u06e0\u0007\t\u0000"+ - "\u0000\u06e0\u06e1\u0007\n\u0000\u0000\u06e1\u06e2\u0007\u0005\u0000\u0000"+ - "\u06e2\u0198\u0001\u0000\u0000\u0000\u06e3\u06e4\u0003\u0249\u011b\u0000"+ - "\u06e4\u06e5\u0001\u0000\u0000\u0000\u06e5\u06e6\u0006\u00c3\u0015\u0000"+ - "\u06e6\u019a\u0001\u0000\u0000\u0000\u06e7\u06e8\u0003\u00fbt\u0000\u06e8"+ - "\u06e9\u0001\u0000\u0000\u0000\u06e9\u06ea\u0006\u00c4\u0014\u0000\u06ea"+ - "\u06eb\u0006\u00c4\u0012\u0000\u06eb\u06ec\u0006\u00c4\u0004\u0000\u06ec"+ - "\u019c\u0001\u0000\u0000\u0000\u06ed\u06ee\u0007\u0016\u0000\u0000\u06ee"+ - "\u06ef\u0007\u0011\u0000\u0000\u06ef\u06f0\u0007\n\u0000\u0000\u06f0\u06f1"+ - "\u0007\u0005\u0000\u0000\u06f1\u06f2\u0007\u0006\u0000\u0000\u06f2\u06f3"+ - "\u0001\u0000\u0000\u0000\u06f3\u06f4\u0006\u00c5\u0012\u0000\u06f4\u06f5"+ - "\u0006\u00c5\u0004\u0000\u06f5\u019e\u0001\u0000\u0000\u0000\u06f6\u06f7"+ - "\u0003\u0151\u009f\u0000\u06f7\u06f8\u0001\u0000\u0000\u0000\u06f8\u06f9"+ - "\u0006\u00c6+\u0000\u06f9\u01a0\u0001\u0000\u0000\u0000\u06fa\u06fb\u0003"+ - "\u00cf^\u0000\u06fb\u06fc\u0001\u0000\u0000\u0000\u06fc\u06fd\u0006\u00c7"+ - "\u001f\u0000\u06fd\u01a2\u0001\u0000\u0000\u0000\u06fe\u06ff\u0003\u00df"+ - "f\u0000\u06ff\u0700\u0001\u0000\u0000\u0000\u0700\u0701\u0006\u00c8)\u0000"+ - "\u0701\u01a4\u0001\u0000\u0000\u0000\u0702\u0703\u0003\u0013\u0000\u0000"+ - "\u0703\u0704\u0001\u0000\u0000\u0000\u0704\u0705\u0006\u00c9\u0000\u0000"+ - "\u0705\u01a6\u0001\u0000\u0000\u0000\u0706\u0707\u0003\u0015\u0001\u0000"+ - "\u0707\u0708\u0001\u0000\u0000\u0000\u0708\u0709\u0006\u00ca\u0000\u0000"+ - "\u0709\u01a8\u0001\u0000\u0000\u0000\u070a\u070b\u0003\u0017\u0002\u0000"+ - "\u070b\u070c\u0001\u0000\u0000\u0000\u070c\u070d\u0006\u00cb\u0000\u0000"+ - "\u070d\u01aa\u0001\u0000\u0000\u0000\u070e\u070f\u0003\u00b9S\u0000\u070f"+ - "\u0710\u0001\u0000\u0000\u0000\u0710\u0711\u0006\u00cc\u0011\u0000\u0711"+ - "\u0712\u0006\u00cc\u0012\u0000\u0712\u01ac\u0001\u0000\u0000\u0000\u0713"+ - "\u0714\u0003\u0131\u008f\u0000\u0714\u0715\u0001\u0000\u0000\u0000\u0715"+ - "\u0716\u0006\u00cd\u0013\u0000\u0716\u0717\u0006\u00cd\u0012\u0000\u0717"+ - "\u0718\u0006\u00cd\u0012\u0000\u0718\u01ae\u0001\u0000\u0000\u0000\u0719"+ - "\u071a\u0003\u00dff\u0000\u071a\u071b\u0001\u0000\u0000\u0000\u071b\u071c"+ - "\u0006\u00ce)\u0000\u071c\u01b0\u0001\u0000\u0000\u0000\u071d\u071e\u0003"+ - "\u00e3h\u0000\u071e\u071f\u0001\u0000\u0000\u0000\u071f\u0720\u0006\u00cf"+ - "\u0017\u0000\u0720\u01b2\u0001\u0000\u0000\u0000\u0721\u0722\u0003\u00e7"+ - "j\u0000\u0722\u0723\u0001\u0000\u0000\u0000\u0723\u0724\u0006\u00d0\u0016"+ - "\u0000\u0724\u01b4\u0001\u0000\u0000\u0000\u0725\u0726\u0003\u00fbt\u0000"+ - "\u0726\u0727\u0001\u0000\u0000\u0000\u0727\u0728\u0006\u00d1\u0014\u0000"+ - "\u0728\u0729\u0006\u00d1-\u0000\u0729\u01b6\u0001\u0000\u0000\u0000\u072a"+ - "\u072b\u0003\u0151\u009f\u0000\u072b\u072c\u0001\u0000\u0000\u0000\u072c"+ - "\u072d\u0006\u00d2+\u0000\u072d\u01b8\u0001\u0000\u0000\u0000\u072e\u072f"+ - "\u0003\u00cf^\u0000\u072f\u0730\u0001\u0000\u0000\u0000\u0730\u0731\u0006"+ - "\u00d3\u001f\u0000\u0731\u01ba\u0001\u0000\u0000\u0000\u0732\u0733\u0003"+ - "\u0013\u0000\u0000\u0733\u0734\u0001\u0000\u0000\u0000\u0734\u0735\u0006"+ - "\u00d4\u0000\u0000\u0735\u01bc\u0001\u0000\u0000\u0000\u0736\u0737\u0003"+ - "\u0015\u0001\u0000\u0737\u0738\u0001\u0000\u0000\u0000\u0738\u0739\u0006"+ - "\u00d5\u0000\u0000\u0739\u01be\u0001\u0000\u0000\u0000\u073a\u073b\u0003"+ - "\u0017\u0002\u0000\u073b\u073c\u0001\u0000\u0000\u0000\u073c\u073d\u0006"+ - "\u00d6\u0000\u0000\u073d\u01c0\u0001\u0000\u0000\u0000\u073e\u073f\u0003"+ - "\u00b9S\u0000\u073f\u0740\u0001\u0000\u0000\u0000\u0740\u0741\u0006\u00d7"+ - "\u0011\u0000\u0741\u0742\u0006\u00d7\u0012\u0000\u0742\u0743\u0006\u00d7"+ - "\u0012\u0000\u0743\u01c2\u0001\u0000\u0000\u0000\u0744\u0745\u0003\u0131"+ - "\u008f\u0000\u0745\u0746\u0001\u0000\u0000\u0000\u0746\u0747\u0006\u00d8"+ - "\u0013\u0000\u0747\u0748\u0006\u00d8\u0012\u0000\u0748\u0749\u0006\u00d8"+ - "\u0012\u0000\u0749\u074a\u0006\u00d8\u0012\u0000\u074a\u01c4\u0001\u0000"+ - "\u0000\u0000\u074b\u074c\u0003\u00e3h\u0000\u074c\u074d\u0001\u0000\u0000"+ - "\u0000\u074d\u074e\u0006\u00d9\u0017\u0000\u074e\u01c6\u0001\u0000\u0000"+ - "\u0000\u074f\u0750\u0003\u00e7j\u0000\u0750\u0751\u0001\u0000\u0000\u0000"+ - "\u0751\u0752\u0006\u00da\u0016\u0000\u0752\u01c8\u0001\u0000\u0000\u0000"+ - "\u0753\u0754\u0003\u0205\u00f9\u0000\u0754\u0755\u0001\u0000\u0000\u0000"+ - "\u0755\u0756\u0006\u00db!\u0000\u0756\u01ca\u0001\u0000\u0000\u0000\u0757"+ - "\u0758\u0003\u0013\u0000\u0000\u0758\u0759\u0001\u0000\u0000\u0000\u0759"+ - "\u075a\u0006\u00dc\u0000\u0000\u075a\u01cc\u0001\u0000\u0000\u0000\u075b"+ - "\u075c\u0003\u0015\u0001\u0000\u075c\u075d\u0001\u0000\u0000\u0000\u075d"+ - "\u075e\u0006\u00dd\u0000\u0000\u075e\u01ce\u0001\u0000\u0000\u0000\u075f"+ - "\u0760\u0003\u0017\u0002\u0000\u0760\u0761\u0001\u0000\u0000\u0000\u0761"+ - "\u0762\u0006\u00de\u0000\u0000\u0762\u01d0\u0001\u0000\u0000\u0000\u0763"+ - "\u0764\u0003\u00b9S\u0000\u0764\u0765\u0001\u0000\u0000\u0000\u0765\u0766"+ - "\u0006\u00df\u0011\u0000\u0766\u0767\u0006\u00df\u0012\u0000\u0767\u01d2"+ - "\u0001\u0000\u0000\u0000\u0768\u0769\u0003\u0131\u008f\u0000\u0769\u076a"+ - "\u0001\u0000\u0000\u0000\u076a\u076b\u0006\u00e0\u0013\u0000\u076b\u076c"+ - "\u0006\u00e0\u0012\u0000\u076c\u076d\u0006\u00e0\u0012\u0000\u076d\u01d4"+ - "\u0001\u0000\u0000\u0000\u076e\u076f\u0003\u012b\u008c\u0000\u076f\u0770"+ - "\u0001\u0000\u0000\u0000\u0770\u0771\u0006\u00e1\u0018\u0000\u0771\u01d6"+ - "\u0001\u0000\u0000\u0000\u0772\u0773\u0003\u012d\u008d\u0000\u0773\u0774"+ - "\u0001\u0000\u0000\u0000\u0774\u0775\u0006\u00e2\u0019\u0000\u0775\u01d8"+ - "\u0001\u0000\u0000\u0000\u0776\u0777\u0003\u00e7j\u0000\u0777\u0778\u0001"+ - "\u0000\u0000\u0000\u0778\u0779\u0006\u00e3\u0016\u0000\u0779\u01da\u0001"+ - "\u0000\u0000\u0000\u077a\u077b\u0003\u00ffv\u0000\u077b\u077c\u0001\u0000"+ - "\u0000\u0000\u077c\u077d\u0006\u00e4\"\u0000\u077d\u01dc\u0001\u0000\u0000"+ - "\u0000\u077e\u077f\u0003\u0127\u008a\u0000\u077f\u0780\u0001\u0000\u0000"+ - "\u0000\u0780\u0781\u0006\u00e5#\u0000\u0781\u01de\u0001\u0000\u0000\u0000"+ - "\u0782\u0783\u0003\u0123\u0088\u0000\u0783\u0784\u0001\u0000\u0000\u0000"+ - "\u0784\u0785\u0006\u00e6$\u0000\u0785\u01e0\u0001\u0000\u0000\u0000\u0786"+ - "\u0787\u0003\u0129\u008b\u0000\u0787\u0788\u0001\u0000\u0000\u0000\u0788"+ - "\u0789\u0006\u00e7%\u0000\u0789\u01e2\u0001\u0000\u0000\u0000\u078a\u078b"+ - "\u0003\u0137\u0092\u0000\u078b\u078c\u0001\u0000\u0000\u0000\u078c\u078d"+ - "\u0006\u00e8\u001a\u0000\u078d\u01e4\u0001\u0000\u0000\u0000\u078e\u078f"+ - "\u0003\u0133\u0090\u0000\u078f\u0790\u0001\u0000\u0000\u0000\u0790\u0791"+ - "\u0006\u00e9\u001b\u0000\u0791\u01e6\u0001\u0000\u0000\u0000\u0792\u0793"+ - "\u0003\u0013\u0000\u0000\u0793\u0794\u0001\u0000\u0000\u0000\u0794\u0795"+ - "\u0006\u00ea\u0000\u0000\u0795\u01e8\u0001\u0000\u0000\u0000\u0796\u0797"+ - "\u0003\u0015\u0001\u0000\u0797\u0798\u0001\u0000\u0000\u0000\u0798\u0799"+ - "\u0006\u00eb\u0000\u0000\u0799\u01ea\u0001\u0000\u0000\u0000\u079a\u079b"+ - "\u0003\u0017\u0002\u0000\u079b\u079c\u0001\u0000\u0000\u0000\u079c\u079d"+ - "\u0006\u00ec\u0000\u0000\u079d\u01ec\u0001\u0000\u0000\u0000\u079e\u079f"+ - "\u0003\u00b9S\u0000\u079f\u07a0\u0001\u0000\u0000\u0000\u07a0\u07a1\u0006"+ - "\u00ed\u0011\u0000\u07a1\u07a2\u0006\u00ed\u0012\u0000\u07a2\u01ee\u0001"+ - "\u0000\u0000\u0000\u07a3\u07a4\u0003\u0131\u008f\u0000\u07a4\u07a5\u0001"+ - "\u0000\u0000\u0000\u07a5\u07a6\u0006\u00ee\u0013\u0000\u07a6\u07a7\u0006"+ - "\u00ee\u0012\u0000\u07a7\u07a8\u0006\u00ee\u0012\u0000\u07a8\u01f0\u0001"+ - "\u0000\u0000\u0000\u07a9\u07aa\u0003\u00e7j\u0000\u07aa\u07ab\u0001\u0000"+ - "\u0000\u0000\u07ab\u07ac\u0006\u00ef\u0016\u0000\u07ac\u01f2\u0001\u0000"+ - "\u0000\u0000\u07ad\u07ae\u0003\u012b\u008c\u0000\u07ae\u07af\u0001\u0000"+ - "\u0000\u0000\u07af\u07b0\u0006\u00f0\u0018\u0000\u07b0\u01f4\u0001\u0000"+ - "\u0000\u0000\u07b1\u07b2\u0003\u012d\u008d\u0000\u07b2\u07b3\u0001\u0000"+ - "\u0000\u0000\u07b3\u07b4\u0006\u00f1\u0019\u0000\u07b4\u01f6\u0001\u0000"+ - "\u0000\u0000\u07b5\u07b6\u0003\u00e3h\u0000\u07b6\u07b7\u0001\u0000\u0000"+ - "\u0000\u07b7\u07b8\u0006\u00f2\u0017\u0000\u07b8\u01f8\u0001\u0000\u0000"+ - "\u0000\u07b9\u07ba\u0003\u00ffv\u0000\u07ba\u07bb\u0001\u0000\u0000\u0000"+ - "\u07bb\u07bc\u0006\u00f3\"\u0000\u07bc\u01fa\u0001\u0000\u0000\u0000\u07bd"+ - "\u07be\u0003\u0127\u008a\u0000\u07be\u07bf\u0001\u0000\u0000\u0000\u07bf"+ - "\u07c0\u0006\u00f4#\u0000\u07c0\u01fc\u0001\u0000\u0000\u0000\u07c1\u07c2"+ - "\u0003\u0123\u0088\u0000\u07c2\u07c3\u0001\u0000\u0000\u0000\u07c3\u07c4"+ - "\u0006\u00f5$\u0000\u07c4\u01fe\u0001\u0000\u0000\u0000\u07c5\u07c6\u0003"+ - "\u0129\u008b\u0000\u07c6\u07c7\u0001\u0000\u0000\u0000\u07c7\u07c8\u0006"+ - "\u00f6%\u0000\u07c8\u0200\u0001\u0000\u0000\u0000\u07c9\u07ce\u0003\u00bd"+ - "U\u0000\u07ca\u07ce\u0003\u00bbT\u0000\u07cb\u07ce\u0003\u00cb\\\u0000"+ - "\u07cc\u07ce\u0003\u0119\u0083\u0000\u07cd\u07c9\u0001\u0000\u0000\u0000"+ - "\u07cd\u07ca\u0001\u0000\u0000\u0000\u07cd\u07cb\u0001\u0000\u0000\u0000"+ - "\u07cd\u07cc\u0001\u0000\u0000\u0000\u07ce\u0202\u0001\u0000\u0000\u0000"+ - "\u07cf\u07d2\u0003\u00bdU\u0000\u07d0\u07d2\u0003\u0119\u0083\u0000\u07d1"+ - "\u07cf\u0001\u0000\u0000\u0000\u07d1\u07d0\u0001\u0000\u0000\u0000\u07d2"+ - "\u07d6\u0001\u0000\u0000\u0000\u07d3\u07d5\u0003\u0201\u00f7\u0000\u07d4"+ - "\u07d3\u0001\u0000\u0000\u0000\u07d5\u07d8\u0001\u0000\u0000\u0000\u07d6"+ - "\u07d4\u0001\u0000\u0000\u0000\u07d6\u07d7\u0001\u0000\u0000\u0000\u07d7"+ - "\u07e3\u0001\u0000\u0000\u0000\u07d8\u07d6\u0001\u0000\u0000\u0000\u07d9"+ - "\u07dc\u0003\u00cb\\\u0000\u07da\u07dc\u0003\u00c5Y\u0000\u07db\u07d9"+ - "\u0001\u0000\u0000\u0000\u07db\u07da\u0001\u0000\u0000\u0000\u07dc\u07de"+ - "\u0001\u0000\u0000\u0000\u07dd\u07df\u0003\u0201\u00f7\u0000\u07de\u07dd"+ - "\u0001\u0000\u0000\u0000\u07df\u07e0\u0001\u0000\u0000\u0000\u07e0\u07de"+ - "\u0001\u0000\u0000\u0000\u07e0\u07e1\u0001\u0000\u0000\u0000\u07e1\u07e3"+ - "\u0001\u0000\u0000\u0000\u07e2\u07d1\u0001\u0000\u0000\u0000\u07e2\u07db"+ - "\u0001\u0000\u0000\u0000\u07e3\u0204\u0001\u0000\u0000\u0000\u07e4\u07e7"+ - "\u0003\u0203\u00f8\u0000\u07e5\u07e7\u0003\u0135\u0091\u0000\u07e6\u07e4"+ - "\u0001\u0000\u0000\u0000\u07e6\u07e5\u0001\u0000\u0000\u0000\u07e7\u07e8"+ - "\u0001\u0000\u0000\u0000\u07e8\u07e6\u0001\u0000\u0000\u0000\u07e8\u07e9"+ - "\u0001\u0000\u0000\u0000\u07e9\u0206\u0001\u0000\u0000\u0000\u07ea\u07eb"+ - "\u0003\u0013\u0000\u0000\u07eb\u07ec\u0001\u0000\u0000\u0000\u07ec\u07ed"+ - "\u0006\u00fa\u0000\u0000\u07ed\u0208\u0001\u0000\u0000\u0000\u07ee\u07ef"+ - "\u0003\u0015\u0001\u0000\u07ef\u07f0\u0001\u0000\u0000\u0000\u07f0\u07f1"+ - "\u0006\u00fb\u0000\u0000\u07f1\u020a\u0001\u0000\u0000\u0000\u07f2\u07f3"+ - "\u0003\u0017\u0002\u0000\u07f3\u07f4\u0001\u0000\u0000\u0000\u07f4\u07f5"+ - "\u0006\u00fc\u0000\u0000\u07f5\u020c\u0001\u0000\u0000\u0000\u07f6\u07f7"+ - "\u0003\u0133\u0090\u0000\u07f7\u07f8\u0001\u0000\u0000\u0000\u07f8\u07f9"+ - "\u0006\u00fd\u001b\u0000\u07f9\u020e\u0001\u0000\u0000\u0000\u07fa\u07fb"+ - "\u0003\u0137\u0092\u0000\u07fb\u07fc\u0001\u0000\u0000\u0000\u07fc\u07fd"+ - "\u0006\u00fe\u001a\u0000\u07fd\u0210\u0001\u0000\u0000\u0000\u07fe\u07ff"+ - "\u0003\u00d9c\u0000\u07ff\u0800\u0001\u0000\u0000\u0000\u0800\u0801\u0006"+ - "\u00ff \u0000\u0801\u0212\u0001\u0000\u0000\u0000\u0802\u0803\u0003\u0127"+ - "\u008a\u0000\u0803\u0804\u0001\u0000\u0000\u0000\u0804\u0805\u0006\u0100"+ - "#\u0000\u0805\u0214\u0001\u0000\u0000\u0000\u0806\u0807\u0003\u0151\u009f"+ - "\u0000\u0807\u0808\u0001\u0000\u0000\u0000\u0808\u0809\u0006\u0101+\u0000"+ - "\u0809\u0216\u0001\u0000\u0000\u0000\u080a\u080b\u0003\u00cf^\u0000\u080b"+ - "\u080c\u0001\u0000\u0000\u0000\u080c\u080d\u0006\u0102\u001f\u0000\u080d"+ - "\u0218\u0001\u0000\u0000\u0000\u080e\u080f\u0003\u00dff\u0000\u080f\u0810"+ - "\u0001\u0000\u0000\u0000\u0810\u0811\u0006\u0103)\u0000\u0811\u021a\u0001"+ - "\u0000\u0000\u0000\u0812\u0813\u0003\u00dde\u0000\u0813\u0814\u0001\u0000"+ - "\u0000\u0000\u0814\u0815\u0006\u0104*\u0000\u0815\u021c\u0001\u0000\u0000"+ - "\u0000\u0816\u0817\u0003\u00e3h\u0000\u0817\u0818\u0001\u0000\u0000\u0000"+ - "\u0818\u0819\u0006\u0105\u0017\u0000\u0819\u021e\u0001\u0000\u0000\u0000"+ - "\u081a\u081b\u0003\u00b9S\u0000\u081b\u081c\u0001\u0000\u0000\u0000\u081c"+ - "\u081d\u0006\u0106\u0011\u0000\u081d\u081e\u0006\u0106\u0012\u0000\u081e"+ - "\u0220\u0001\u0000\u0000\u0000\u081f\u0820\u0003\u012f\u008e\u0000\u0820"+ - "\u0821\u0006\u0107.\u0000\u0821\u0822\u0001\u0000\u0000\u0000\u0822\u0823"+ - "\u0006\u0107&\u0000\u0823\u0222\u0001\u0000\u0000\u0000\u0824\u0825\u0005"+ - ")\u0000\u0000\u0825\u0826\u0004\u0108\u0007\u0000\u0826\u0827\u0006\u0108"+ - "/\u0000\u0827\u0828\u0001\u0000\u0000\u0000\u0828\u0829\u0006\u0108\u0013"+ - "\u0000\u0829\u0224\u0001\u0000\u0000\u0000\u082a\u082b\u0005)\u0000\u0000"+ - "\u082b\u082c\u0004\u0109\b\u0000\u082c\u082d\u0006\u01090\u0000\u082d"+ - "\u082e\u0001\u0000\u0000\u0000\u082e\u082f\u0006\u0109\u0013\u0000\u082f"+ - "\u0830\u0006\u0109\u0012\u0000\u0830\u0226\u0001\u0000\u0000\u0000\u0831"+ - "\u0832\u0003\u0013\u0000\u0000\u0832\u0833\u0001\u0000\u0000\u0000\u0833"+ - "\u0834\u0006\u010a\u0000\u0000\u0834\u0228\u0001\u0000\u0000\u0000\u0835"+ - "\u0836\u0003\u0015\u0001\u0000\u0836\u0837\u0001\u0000\u0000\u0000\u0837"+ - "\u0838\u0006\u010b\u0000\u0000\u0838\u022a\u0001\u0000\u0000\u0000\u0839"+ - "\u083a\u0003\u0017\u0002\u0000\u083a\u083b\u0001\u0000\u0000\u0000\u083b"+ - "\u083c\u0006\u010c\u0000\u0000\u083c\u022c\u0001\u0000\u0000\u0000\u083d"+ - "\u0841\u0005#\u0000\u0000\u083e\u0840\b\u0000\u0000\u0000\u083f\u083e"+ - "\u0001\u0000\u0000\u0000\u0840\u0843\u0001\u0000\u0000\u0000\u0841\u083f"+ - "\u0001\u0000\u0000\u0000\u0841\u0842\u0001\u0000\u0000\u0000\u0842\u0845"+ - "\u0001\u0000\u0000\u0000\u0843\u0841\u0001\u0000\u0000\u0000\u0844\u0846"+ - "\u0005\r\u0000\u0000\u0845\u0844\u0001\u0000\u0000\u0000\u0845\u0846\u0001"+ - "\u0000\u0000\u0000\u0846\u0848\u0001\u0000\u0000\u0000\u0847\u0849\u0005"+ - "\n\u0000\u0000\u0848\u0847\u0001\u0000\u0000\u0000\u0848\u0849\u0001\u0000"+ - "\u0000\u0000\u0849\u022e\u0001\u0000\u0000\u0000\u084a\u0850\u0005\'\u0000"+ - "\u0000\u084b\u084c\u0005\\\u0000\u0000\u084c\u084f\t\u0000\u0000\u0000"+ - "\u084d\u084f\b%\u0000\u0000\u084e\u084b\u0001\u0000\u0000\u0000\u084e"+ - "\u084d\u0001\u0000\u0000\u0000\u084f\u0852\u0001\u0000\u0000\u0000\u0850"+ - "\u084e\u0001\u0000\u0000\u0000\u0850\u0851\u0001\u0000\u0000\u0000\u0851"+ - "\u0853\u0001\u0000\u0000\u0000\u0852\u0850\u0001\u0000\u0000\u0000\u0853"+ - "\u0854\u0005\'\u0000\u0000\u0854\u0230\u0001\u0000\u0000\u0000\u0855\u0856"+ - "\b&\u0000\u0000\u0856\u0232\u0001\u0000\u0000\u0000\u0857\u0858\u0003"+ - "\u00b9S\u0000\u0858\u0859\u0001\u0000\u0000\u0000\u0859\u085a\u0006\u0110"+ - "\u0011\u0000\u085a\u085b\u0006\u0110\u0012\u0000\u085b\u0234\u0001\u0000"+ - "\u0000\u0000\u085c\u085d\u0003\u0131\u008f\u0000\u085d\u085e\u0001\u0000"+ - "\u0000\u0000\u085e\u085f\u0006\u0111\u0013\u0000\u085f\u0860\u0006\u0111"+ - "\u0012\u0000\u0860\u0861\u0006\u0111\u0012\u0000\u0861\u0236\u0001\u0000"+ - "\u0000\u0000\u0862\u0863\u0003\u012b\u008c\u0000\u0863\u0864\u0001\u0000"+ - "\u0000\u0000\u0864\u0865\u0006\u0112\u0018\u0000\u0865\u0238\u0001\u0000"+ - "\u0000\u0000\u0866\u0867\u0003\u012d\u008d\u0000\u0867\u0868\u0001\u0000"+ - "\u0000\u0000\u0868\u0869\u0006\u0113\u0019\u0000\u0869\u023a\u0001\u0000"+ - "\u0000\u0000\u086a\u086b\u0003\u00d9c\u0000\u086b\u086c\u0001\u0000\u0000"+ - "\u0000\u086c\u086d\u0006\u0114 \u0000\u086d\u023c\u0001\u0000\u0000\u0000"+ - "\u086e\u086f\u0003\u00e3h\u0000\u086f\u0870\u0001\u0000\u0000\u0000\u0870"+ - "\u0871\u0006\u0115\u0017\u0000\u0871\u023e\u0001\u0000\u0000\u0000\u0872"+ - "\u0873\u0003\u00e7j\u0000\u0873\u0874\u0001\u0000\u0000\u0000\u0874\u0875"+ - "\u0006\u0116\u0016\u0000\u0875\u0240\u0001\u0000\u0000\u0000\u0876\u0877"+ - "\u0003\u00ffv\u0000\u0877\u0878\u0001\u0000\u0000\u0000\u0878\u0879\u0006"+ - "\u0117\"\u0000\u0879\u0242\u0001\u0000\u0000\u0000\u087a\u087b\u0003\u0127"+ - "\u008a\u0000\u087b\u087c\u0001\u0000\u0000\u0000\u087c\u087d\u0006\u0118"+ - "#\u0000\u087d\u0244\u0001\u0000\u0000\u0000\u087e\u087f\u0003\u0123\u0088"+ - "\u0000\u087f\u0880\u0001\u0000\u0000\u0000\u0880\u0881\u0006\u0119$\u0000"+ - "\u0881\u0246\u0001\u0000\u0000\u0000\u0882\u0883\u0003\u0129\u008b\u0000"+ - "\u0883\u0884\u0001\u0000\u0000\u0000\u0884\u0885\u0006\u011a%\u0000\u0885"+ - "\u0248\u0001\u0000\u0000\u0000\u0886\u0887\u0007\u0004\u0000\u0000\u0887"+ - "\u0888\u0007\u0011\u0000\u0000\u0888\u024a\u0001\u0000\u0000\u0000\u0889"+ - "\u088a\u0003\u0205\u00f9\u0000\u088a\u088b\u0001\u0000\u0000\u0000\u088b"+ - "\u088c\u0006\u011c!\u0000\u088c\u024c\u0001\u0000\u0000\u0000\u088d\u088e"+ - "\u0003\u0013\u0000\u0000\u088e\u088f\u0001\u0000\u0000\u0000\u088f\u0890"+ - "\u0006\u011d\u0000\u0000\u0890\u024e\u0001\u0000\u0000\u0000\u0891\u0892"+ - "\u0003\u0015\u0001\u0000\u0892\u0893\u0001\u0000\u0000\u0000\u0893\u0894"+ - "\u0006\u011e\u0000\u0000\u0894\u0250\u0001\u0000\u0000\u0000\u0895\u0896"+ - "\u0003\u0017\u0002\u0000\u0896\u0897\u0001\u0000\u0000\u0000\u0897\u0898"+ - "\u0006\u011f\u0000\u0000\u0898\u0252\u0001\u0000\u0000\u0000\u0899\u089a"+ - "\u0003\u0103x\u0000\u089a\u089b\u0001\u0000\u0000\u0000\u089b\u089c\u0006"+ - "\u01201\u0000\u089c\u0254\u0001\u0000\u0000\u0000\u089d\u089e\u0003\u00e9"+ - "k\u0000\u089e\u089f\u0001\u0000\u0000\u0000\u089f\u08a0\u0006\u01212\u0000"+ - "\u08a0\u0256\u0001\u0000\u0000\u0000\u08a1\u08a2\u0003\u00f7r\u0000\u08a2"+ - "\u08a3\u0001\u0000\u0000\u0000\u08a3\u08a4\u0006\u01223\u0000\u08a4\u0258"+ - "\u0001\u0000\u0000\u0000\u08a5\u08a6\u0003\u00e1g\u0000\u08a6\u08a7\u0001"+ - "\u0000\u0000\u0000\u08a7\u08a8\u0006\u01234\u0000\u08a8\u08a9\u0006\u0123"+ - "\u0012\u0000\u08a9\u025a\u0001\u0000\u0000\u0000\u08aa\u08ab\u0003\u00d9"+ - "c\u0000\u08ab\u08ac\u0001\u0000\u0000\u0000\u08ac\u08ad\u0006\u0124 \u0000"+ - "\u08ad\u025c\u0001\u0000\u0000\u0000\u08ae\u08af\u0003\u00cf^\u0000\u08af"+ - "\u08b0\u0001\u0000\u0000\u0000\u08b0\u08b1\u0006\u0125\u001f\u0000\u08b1"+ - "\u025e\u0001\u0000\u0000\u0000\u08b2\u08b3\u0003\u0133\u0090\u0000\u08b3"+ - "\u08b4\u0001\u0000\u0000\u0000\u08b4\u08b5\u0006\u0126\u001b\u0000\u08b5"+ - "\u0260\u0001\u0000\u0000\u0000\u08b6\u08b7\u0003\u0137\u0092\u0000\u08b7"+ - "\u08b8\u0001\u0000\u0000\u0000\u08b8\u08b9\u0006\u0127\u001a\u0000\u08b9"+ - "\u0262\u0001\u0000\u0000\u0000\u08ba\u08bb\u0003\u00d3`\u0000\u08bb\u08bc"+ - "\u0001\u0000\u0000\u0000\u08bc\u08bd\u0006\u01285\u0000\u08bd\u0264\u0001"+ - "\u0000\u0000\u0000\u08be\u08bf\u0003\u00d1_\u0000\u08bf\u08c0\u0001\u0000"+ - "\u0000\u0000\u08c0\u08c1\u0006\u01296\u0000\u08c1\u0266\u0001\u0000\u0000"+ - "\u0000\u08c2\u08c3\u0003\u00dff\u0000\u08c3\u08c4\u0001\u0000\u0000\u0000"+ - "\u08c4\u08c5\u0006\u012a)\u0000\u08c5\u0268\u0001\u0000\u0000\u0000\u08c6"+ - "\u08c7\u0003\u00e3h\u0000\u08c7\u08c8\u0001\u0000\u0000\u0000\u08c8\u08c9"+ - "\u0006\u012b\u0017\u0000\u08c9\u026a\u0001\u0000\u0000\u0000\u08ca\u08cb"+ - "\u0003\u00e7j\u0000\u08cb\u08cc\u0001\u0000\u0000\u0000\u08cc\u08cd\u0006"+ - "\u012c\u0016\u0000\u08cd\u026c\u0001\u0000\u0000\u0000\u08ce\u08cf\u0003"+ - "\u00ffv\u0000\u08cf\u08d0\u0001\u0000\u0000\u0000\u08d0\u08d1\u0006\u012d"+ - "\"\u0000\u08d1\u026e\u0001\u0000\u0000\u0000\u08d2\u08d3\u0003\u0127\u008a"+ - "\u0000\u08d3\u08d4\u0001\u0000\u0000\u0000\u08d4\u08d5\u0006\u012e#\u0000"+ - "\u08d5\u0270\u0001\u0000\u0000\u0000\u08d6\u08d7\u0003\u011f\u0086\u0000"+ - "\u08d7\u08d8\u0001\u0000\u0000\u0000\u08d8\u08d9\u0006\u012f7\u0000\u08d9"+ - "\u0272\u0001\u0000\u0000\u0000\u08da\u08db\u0003\u0121\u0087\u0000\u08db"+ - "\u08dc\u0001\u0000\u0000\u0000\u08dc\u08dd\u0006\u01308\u0000\u08dd\u0274"+ - "\u0001\u0000\u0000\u0000\u08de\u08df\u0003\u0123\u0088\u0000\u08df\u08e0"+ - "\u0001\u0000\u0000\u0000\u08e0\u08e1\u0006\u0131$\u0000\u08e1\u0276\u0001"+ - "\u0000\u0000\u0000\u08e2\u08e3\u0003\u0129\u008b\u0000\u08e3\u08e4\u0001"+ - "\u0000\u0000\u0000\u08e4\u08e5\u0006\u0132%\u0000\u08e5\u0278\u0001\u0000"+ - "\u0000\u0000\u08e6\u08e7\u0003\u012b\u008c\u0000\u08e7\u08e8\u0001\u0000"+ - "\u0000\u0000\u08e8\u08e9\u0006\u0133\u0018\u0000\u08e9\u027a\u0001\u0000"+ - "\u0000\u0000\u08ea\u08eb\u0003\u012d\u008d\u0000\u08eb\u08ec\u0001\u0000"+ - "\u0000\u0000\u08ec\u08ed\u0006\u0134\u0019\u0000\u08ed\u027c\u0001\u0000"+ - "\u0000\u0000\u08ee\u08ef\u0003\u0205\u00f9\u0000\u08ef\u08f0\u0001\u0000"+ - "\u0000\u0000\u08f0\u08f1\u0006\u0135!\u0000\u08f1\u027e\u0001\u0000\u0000"+ - "\u0000\u08f2\u08f3\u0003\u0013\u0000\u0000\u08f3\u08f4\u0001\u0000\u0000"+ - "\u0000\u08f4\u08f5\u0006\u0136\u0000\u0000\u08f5\u0280\u0001\u0000\u0000"+ - "\u0000\u08f6\u08f7\u0003\u0015\u0001\u0000\u08f7\u08f8\u0001\u0000\u0000"+ - "\u0000\u08f8\u08f9\u0006\u0137\u0000\u0000\u08f9\u0282\u0001\u0000\u0000"+ - "\u0000\u08fa\u08fb\u0003\u0017\u0002\u0000\u08fb\u08fc\u0001\u0000\u0000"+ - "\u0000\u08fc\u08fd\u0006\u0138\u0000\u0000\u08fd\u0284\u0001\u0000\u0000"+ - "\u0000\u08fe\u08ff\u0003\u00b9S\u0000\u08ff\u0900\u0001\u0000\u0000\u0000"+ - "\u0900\u0901\u0006\u0139\u0011\u0000\u0901\u0902\u0006\u0139\u0012\u0000"+ - "\u0902\u0286\u0001\u0000\u0000\u0000\u0903\u0904\u0007\n\u0000\u0000\u0904"+ - "\u0905\u0007\u0005\u0000\u0000\u0905\u0906\u0007\u0015\u0000\u0000\u0906"+ - "\u0907\u0007\t\u0000\u0000\u0907\u0288\u0001\u0000\u0000\u0000\u0908\u0909"+ - "\u0003\u0013\u0000\u0000\u0909\u090a\u0001\u0000\u0000\u0000\u090a\u090b"+ - "\u0006\u013b\u0000\u0000\u090b\u028a\u0001\u0000\u0000\u0000\u090c\u090d"+ - "\u0003\u0015\u0001\u0000\u090d\u090e\u0001\u0000\u0000\u0000\u090e\u090f"+ - "\u0006\u013c\u0000\u0000\u090f\u028c\u0001\u0000\u0000\u0000\u0910\u0911"+ - "\u0003\u0017\u0002\u0000\u0911\u0912\u0001\u0000\u0000\u0000\u0912\u0913"+ - "\u0006\u013d\u0000\u0000\u0913\u028e\u0001\u0000\u0000\u0000L\u0000\u0001"+ - "\u0002\u0003\u0004\u0005\u0006\u0007\b\t\n\u000b\f\r\u000e\u000f\u0010"+ - "\u0011\u0012\u0295\u0299\u029c\u02a5\u02a7\u02b2\u03dd\u0432\u0436\u043b"+ - "\u04bf\u04c4\u04cd\u04d4\u04d9\u04db\u04e6\u04ee\u04f1\u04f3\u04f8\u04fd"+ - "\u0503\u050a\u050f\u0515\u0518\u0520\u0524\u05b1\u05b6\u05bd\u05bf\u05c4"+ - "\u05c9\u05d0\u05d2\u05ec\u05f1\u05f6\u05f8\u05fe\u063c\u0641\u07cd\u07d1"+ - "\u07d6\u07db\u07e0\u07e2\u07e6\u07e8\u0841\u0845\u0848\u084e\u08509\u0000"+ - "\u0001\u0000\u0005\u0001\u0000\u0005\u0002\u0000\u0005\u0004\u0000\u0005"+ - "\u0005\u0000\u0005\u0006\u0000\u0005\u0007\u0000\u0005\b\u0000\u0005\t"+ - "\u0000\u0005\n\u0000\u0005\u000b\u0000\u0005\r\u0000\u0005\u000e\u0000"+ - "\u0005\u000f\u0000\u0005\u0010\u0000\u0005\u0011\u0000\u0005\u0012\u0000"+ - "\u00073\u0000\u0004\u0000\u0000\u0007d\u0000\u0007J\u0000\u0007\u0094"+ - "\u0000\u0007@\u0000\u0007>\u0000\u0007a\u0000\u0007b\u0000\u0007f\u0000"+ - "\u0007e\u0000\u0005\u0003\u0000\u0007O\u0000\u0007)\u0000\u00074\u0000"+ - "\u00079\u0000\u0007\u008a\u0000\u0007L\u0000\u0007_\u0000\u0007^\u0000"+ - "\u0007`\u0000\u0007c\u0000\u0005\u0000\u0000\u0007\u0011\u0000\u0007<"+ - "\u0000\u0007;\u0000\u0007k\u0000\u0007:\u0000\u0005\f\u0000\u0001\u0107"+ - "\u0000\u0001\u0108\u0001\u0001\u0109\u0002\u0007N\u0000\u0007A\u0000\u0007"+ - "H\u0000\u0007=\u0000\u00076\u0000\u00075\u0000\u0007\\\u0000\u0007]\u0000"; + "\u03ba\u03bb\u0007\b\u0000\u0000\u03bb\u03bc\u0007\f\u0000\u0000\u03bc"+ + "\u03bd\u0007\t\u0000\u0000\u03bd\u03be\u0007\u000f\u0000\u0000\u03be\u03bf"+ + "\u0007\u0017\u0000\u0000\u03bf\u03c0\u0007\u000e\u0000\u0000\u03c0\u03c1"+ + "\u0001\u0000\u0000\u0000\u03c1\u03c2\u0006 \r\u0000\u03c2T\u0001\u0000"+ + "\u0000\u0000\u03c3\u03c4\u0007\f\u0000\u0000\u03c4\u03c5\u0007\u0007\u0000"+ + "\u0000\u03c5\u03c6\u0007\u0005\u0000\u0000\u03c6\u03c7\u0007\u0004\u0000"+ + "\u0000\u03c7\u03c8\u0007\u000f\u0000\u0000\u03c8\u03c9\u0007\u0007\u0000"+ + "\u0000\u03c9\u03ca\u0001\u0000\u0000\u0000\u03ca\u03cb\u0006!\u000e\u0000"+ + "\u03cbV\u0001\u0000\u0000\u0000\u03cc\u03cd\u0007\u0011\u0000\u0000\u03cd"+ + "\u03ce\u0007\u0007\u0000\u0000\u03ce\u03cf\u0007\u000b\u0000\u0000\u03cf"+ + "\u03d0\u0001\u0000\u0000\u0000\u03d0\u03d1\u0006\"\u000f\u0000\u03d1X"+ + "\u0001\u0000\u0000\u0000\u03d2\u03d3\u0007\u0011\u0000\u0000\u03d3\u03d4"+ + "\u0007\u0003\u0000\u0000\u03d4\u03d5\u0007\t\u0000\u0000\u03d5\u03d6\u0007"+ + "\u0014\u0000\u0000\u03d6\u03d7\u0001\u0000\u0000\u0000\u03d7\u03d8\u0006"+ + "#\u0010\u0000\u03d8Z\u0001\u0000\u0000\u0000\u03d9\u03db\b\u0018\u0000"+ + "\u0000\u03da\u03d9\u0001\u0000\u0000\u0000\u03db\u03dc\u0001\u0000\u0000"+ + "\u0000\u03dc\u03da\u0001\u0000\u0000\u0000\u03dc\u03dd\u0001\u0000\u0000"+ + "\u0000\u03dd\u03de\u0001\u0000\u0000\u0000\u03de\u03df\u0006$\u0004\u0000"+ + "\u03df\\\u0001\u0000\u0000\u0000\u03e0\u03e1\u0003\u00b9S\u0000\u03e1"+ + "\u03e2\u0001\u0000\u0000\u0000\u03e2\u03e3\u0006%\u0011\u0000\u03e3\u03e4"+ + "\u0006%\u0012\u0000\u03e4^\u0001\u0000\u0000\u0000\u03e5\u03e6\u0003\u0131"+ + "\u008f\u0000\u03e6\u03e7\u0001\u0000\u0000\u0000\u03e7\u03e8\u0006&\u0013"+ + "\u0000\u03e8\u03e9\u0006&\u0012\u0000\u03e9\u03ea\u0006&\u0012\u0000\u03ea"+ + "`\u0001\u0000\u0000\u0000\u03eb\u03ec\u0003\u00fbt\u0000\u03ec\u03ed\u0001"+ + "\u0000\u0000\u0000\u03ed\u03ee\u0006\'\u0014\u0000\u03eeb\u0001\u0000"+ + "\u0000\u0000\u03ef\u03f0\u0003\u0249\u011b\u0000\u03f0\u03f1\u0001\u0000"+ + "\u0000\u0000\u03f1\u03f2\u0006(\u0015\u0000\u03f2d\u0001\u0000\u0000\u0000"+ + "\u03f3\u03f4\u0003\u00e7j\u0000\u03f4\u03f5\u0001\u0000\u0000\u0000\u03f5"+ + "\u03f6\u0006)\u0016\u0000\u03f6f\u0001\u0000\u0000\u0000\u03f7\u03f8\u0003"+ + "\u00e3h\u0000\u03f8\u03f9\u0001\u0000\u0000\u0000\u03f9\u03fa\u0006*\u0017"+ + "\u0000\u03fah\u0001\u0000\u0000\u0000\u03fb\u03fc\u0003\u012b\u008c\u0000"+ + "\u03fc\u03fd\u0001\u0000\u0000\u0000\u03fd\u03fe\u0006+\u0018\u0000\u03fe"+ + "j\u0001\u0000\u0000\u0000\u03ff\u0400\u0003\u012d\u008d\u0000\u0400\u0401"+ + "\u0001\u0000\u0000\u0000\u0401\u0402\u0006,\u0019\u0000\u0402l\u0001\u0000"+ + "\u0000\u0000\u0403\u0404\u0003\u0137\u0092\u0000\u0404\u0405\u0001\u0000"+ + "\u0000\u0000\u0405\u0406\u0006-\u001a\u0000\u0406n\u0001\u0000\u0000\u0000"+ + "\u0407\u0408\u0003\u0133\u0090\u0000\u0408\u0409\u0001\u0000\u0000\u0000"+ + "\u0409\u040a\u0006.\u001b\u0000\u040ap\u0001\u0000\u0000\u0000\u040b\u040c"+ + "\u0003\u0013\u0000\u0000\u040c\u040d\u0001\u0000\u0000\u0000\u040d\u040e"+ + "\u0006/\u0000\u0000\u040er\u0001\u0000\u0000\u0000\u040f\u0410\u0003\u0015"+ + "\u0001\u0000\u0410\u0411\u0001\u0000\u0000\u0000\u0411\u0412\u00060\u0000"+ + "\u0000\u0412t\u0001\u0000\u0000\u0000\u0413\u0414\u0003\u0017\u0002\u0000"+ + "\u0414\u0415\u0001\u0000\u0000\u0000\u0415\u0416\u00061\u0000\u0000\u0416"+ + "v\u0001\u0000\u0000\u0000\u0417\u0418\u0003\u00b9S\u0000\u0418\u0419\u0001"+ + "\u0000\u0000\u0000\u0419\u041a\u00062\u0011\u0000\u041a\u041b\u00062\u0012"+ + "\u0000\u041bx\u0001\u0000\u0000\u0000\u041c\u041d\u0003\u0131\u008f\u0000"+ + "\u041d\u041e\u0001\u0000\u0000\u0000\u041e\u041f\u00063\u0013\u0000\u041f"+ + "\u0420\u00063\u0012\u0000\u0420\u0421\u00063\u0012\u0000\u0421z\u0001"+ + "\u0000\u0000\u0000\u0422\u0423\u0003\u00fbt\u0000\u0423\u0424\u0001\u0000"+ + "\u0000\u0000\u0424\u0425\u00064\u0014\u0000\u0425\u0426\u00064\u001c\u0000"+ + "\u0426|\u0001\u0000\u0000\u0000\u0427\u0428\u0003\u0105y\u0000\u0428\u0429"+ + "\u0001\u0000\u0000\u0000\u0429\u042a\u00065\u001d\u0000\u042a\u042b\u0006"+ + "5\u001c\u0000\u042b~\u0001\u0000\u0000\u0000\u042c\u042d\b\u0019\u0000"+ + "\u0000\u042d\u0080\u0001\u0000\u0000\u0000\u042e\u0430\u0003\u007f6\u0000"+ + "\u042f\u042e\u0001\u0000\u0000\u0000\u0430\u0431\u0001\u0000\u0000\u0000"+ + "\u0431\u042f\u0001\u0000\u0000\u0000\u0431\u0432\u0001\u0000\u0000\u0000"+ + "\u0432\u0433\u0001\u0000\u0000\u0000\u0433\u0434\u0003\u00dff\u0000\u0434"+ + "\u0436\u0001\u0000\u0000\u0000\u0435\u042f\u0001\u0000\u0000\u0000\u0435"+ + "\u0436\u0001\u0000\u0000\u0000\u0436\u0438\u0001\u0000\u0000\u0000\u0437"+ + "\u0439\u0003\u007f6\u0000\u0438\u0437\u0001\u0000\u0000\u0000\u0439\u043a"+ + "\u0001\u0000\u0000\u0000\u043a\u0438\u0001\u0000\u0000\u0000\u043a\u043b"+ + "\u0001\u0000\u0000\u0000\u043b\u0082\u0001\u0000\u0000\u0000\u043c\u043d"+ + "\u0003\u00817\u0000\u043d\u043e\u0001\u0000\u0000\u0000\u043e\u043f\u0006"+ + "8\u001e\u0000\u043f\u0084\u0001\u0000\u0000\u0000\u0440\u0441\u0003\u00cf"+ + "^\u0000\u0441\u0442\u0001\u0000\u0000\u0000\u0442\u0443\u00069\u001f\u0000"+ + "\u0443\u0086\u0001\u0000\u0000\u0000\u0444\u0445\u0003\u0013\u0000\u0000"+ + "\u0445\u0446\u0001\u0000\u0000\u0000\u0446\u0447\u0006:\u0000\u0000\u0447"+ + "\u0088\u0001\u0000\u0000\u0000\u0448\u0449\u0003\u0015\u0001\u0000\u0449"+ + "\u044a\u0001\u0000\u0000\u0000\u044a\u044b\u0006;\u0000\u0000\u044b\u008a"+ + "\u0001\u0000\u0000\u0000\u044c\u044d\u0003\u0017\u0002\u0000\u044d\u044e"+ + "\u0001\u0000\u0000\u0000\u044e\u044f\u0006<\u0000\u0000\u044f\u008c\u0001"+ + "\u0000\u0000\u0000\u0450\u0451\u0003\u00b9S\u0000\u0451\u0452\u0001\u0000"+ + "\u0000\u0000\u0452\u0453\u0006=\u0011\u0000\u0453\u0454\u0006=\u0012\u0000"+ + "\u0454\u0455\u0006=\u0012\u0000\u0455\u008e\u0001\u0000\u0000\u0000\u0456"+ + "\u0457\u0003\u0131\u008f\u0000\u0457\u0458\u0001\u0000\u0000\u0000\u0458"+ + "\u0459\u0006>\u0013\u0000\u0459\u045a\u0006>\u0012\u0000\u045a\u045b\u0006"+ + ">\u0012\u0000\u045b\u045c\u0006>\u0012\u0000\u045c\u0090\u0001\u0000\u0000"+ + "\u0000\u045d\u045e\u0003\u012b\u008c\u0000\u045e\u045f\u0001\u0000\u0000"+ + "\u0000\u045f\u0460\u0006?\u0018\u0000\u0460\u0092\u0001\u0000\u0000\u0000"+ + "\u0461\u0462\u0003\u012d\u008d\u0000\u0462\u0463\u0001\u0000\u0000\u0000"+ + "\u0463\u0464\u0006@\u0019\u0000\u0464\u0094\u0001\u0000\u0000\u0000\u0465"+ + "\u0466\u0003\u00d9c\u0000\u0466\u0467\u0001\u0000\u0000\u0000\u0467\u0468"+ + "\u0006A \u0000\u0468\u0096\u0001\u0000\u0000\u0000\u0469\u046a\u0003\u00e3"+ + "h\u0000\u046a\u046b\u0001\u0000\u0000\u0000\u046b\u046c\u0006B\u0017\u0000"+ + "\u046c\u0098\u0001\u0000\u0000\u0000\u046d\u046e\u0003\u00e7j\u0000\u046e"+ + "\u046f\u0001\u0000\u0000\u0000\u046f\u0470\u0006C\u0016\u0000\u0470\u009a"+ + "\u0001\u0000\u0000\u0000\u0471\u0472\u0003\u0105y\u0000\u0472\u0473\u0001"+ + "\u0000\u0000\u0000\u0473\u0474\u0006D\u001d\u0000\u0474\u009c\u0001\u0000"+ + "\u0000\u0000\u0475\u0476\u0003\u0205\u00f9\u0000\u0476\u0477\u0001\u0000"+ + "\u0000\u0000\u0477\u0478\u0006E!\u0000\u0478\u009e\u0001\u0000\u0000\u0000"+ + "\u0479\u047a\u0003\u0137\u0092\u0000\u047a\u047b\u0001\u0000\u0000\u0000"+ + "\u047b\u047c\u0006F\u001a\u0000\u047c\u00a0\u0001\u0000\u0000\u0000\u047d"+ + "\u047e\u0003\u00ffv\u0000\u047e\u047f\u0001\u0000\u0000\u0000\u047f\u0480"+ + "\u0006G\"\u0000\u0480\u00a2\u0001\u0000\u0000\u0000\u0481\u0482\u0003"+ + "\u0127\u008a\u0000\u0482\u0483\u0001\u0000\u0000\u0000\u0483\u0484\u0006"+ + "H#\u0000\u0484\u00a4\u0001\u0000\u0000\u0000\u0485\u0486\u0003\u0123\u0088"+ + "\u0000\u0486\u0487\u0001\u0000\u0000\u0000\u0487\u0488\u0006I$\u0000\u0488"+ + "\u00a6\u0001\u0000\u0000\u0000\u0489\u048a\u0003\u0129\u008b\u0000\u048a"+ + "\u048b\u0001\u0000\u0000\u0000\u048b\u048c\u0006J%\u0000\u048c\u00a8\u0001"+ + "\u0000\u0000\u0000\u048d\u048e\u0003\u0013\u0000\u0000\u048e\u048f\u0001"+ + "\u0000\u0000\u0000\u048f\u0490\u0006K\u0000\u0000\u0490\u00aa\u0001\u0000"+ + "\u0000\u0000\u0491\u0492\u0003\u0015\u0001\u0000\u0492\u0493\u0001\u0000"+ + "\u0000\u0000\u0493\u0494\u0006L\u0000\u0000\u0494\u00ac\u0001\u0000\u0000"+ + "\u0000\u0495\u0496\u0003\u0017\u0002\u0000\u0496\u0497\u0001\u0000\u0000"+ + "\u0000\u0497\u0498\u0006M\u0000\u0000\u0498\u00ae\u0001\u0000\u0000\u0000"+ + "\u0499\u049a\u0003\u012f\u008e\u0000\u049a\u049b\u0001\u0000\u0000\u0000"+ + "\u049b\u049c\u0006N&\u0000\u049c\u049d\u0006N\'\u0000\u049d\u00b0\u0001"+ + "\u0000\u0000\u0000\u049e\u049f\u0003\u00b9S\u0000\u049f\u04a0\u0001\u0000"+ + "\u0000\u0000\u04a0\u04a1\u0006O\u0011\u0000\u04a1\u04a2\u0006O\u0012\u0000"+ + "\u04a2\u00b2\u0001\u0000\u0000\u0000\u04a3\u04a4\u0003\u0017\u0002\u0000"+ + "\u04a4\u04a5\u0001\u0000\u0000\u0000\u04a5\u04a6\u0006P\u0000\u0000\u04a6"+ + "\u00b4\u0001\u0000\u0000\u0000\u04a7\u04a8\u0003\u0013\u0000\u0000\u04a8"+ + "\u04a9\u0001\u0000\u0000\u0000\u04a9\u04aa\u0006Q\u0000\u0000\u04aa\u00b6"+ + "\u0001\u0000\u0000\u0000\u04ab\u04ac\u0003\u0015\u0001\u0000\u04ac\u04ad"+ + "\u0001\u0000\u0000\u0000\u04ad\u04ae\u0006R\u0000\u0000\u04ae\u00b8\u0001"+ + "\u0000\u0000\u0000\u04af\u04b0\u0005|\u0000\u0000\u04b0\u04b1\u0001\u0000"+ + "\u0000\u0000\u04b1\u04b2\u0006S\u0012\u0000\u04b2\u00ba\u0001\u0000\u0000"+ + "\u0000\u04b3\u04b4\u0007\u001a\u0000\u0000\u04b4\u00bc\u0001\u0000\u0000"+ + "\u0000\u04b5\u04b6\u0007\u001b\u0000\u0000\u04b6\u00be\u0001\u0000\u0000"+ + "\u0000\u04b7\u04b8\u0005\\\u0000\u0000\u04b8\u04b9\u0007\u001c\u0000\u0000"+ + "\u04b9\u00c0\u0001\u0000\u0000\u0000\u04ba\u04bb\b\u001d\u0000\u0000\u04bb"+ + "\u00c2\u0001\u0000\u0000\u0000\u04bc\u04be\u0007\u0007\u0000\u0000\u04bd"+ + "\u04bf\u0007\u001e\u0000\u0000\u04be\u04bd\u0001\u0000\u0000\u0000\u04be"+ + "\u04bf\u0001\u0000\u0000\u0000\u04bf\u04c1\u0001\u0000\u0000\u0000\u04c0"+ + "\u04c2\u0003\u00bbT\u0000\u04c1\u04c0\u0001\u0000\u0000\u0000\u04c2\u04c3"+ + "\u0001\u0000\u0000\u0000\u04c3\u04c1\u0001\u0000\u0000\u0000\u04c3\u04c4"+ + "\u0001\u0000\u0000\u0000\u04c4\u00c4\u0001\u0000\u0000\u0000\u04c5\u04c6"+ + "\u0005@\u0000\u0000\u04c6\u00c6\u0001\u0000\u0000\u0000\u04c7\u04c8\u0005"+ + "`\u0000\u0000\u04c8\u00c8\u0001\u0000\u0000\u0000\u04c9\u04cd\b\u001f"+ + "\u0000\u0000\u04ca\u04cb\u0005`\u0000\u0000\u04cb\u04cd\u0005`\u0000\u0000"+ + "\u04cc\u04c9\u0001\u0000\u0000\u0000\u04cc\u04ca\u0001\u0000\u0000\u0000"+ + "\u04cd\u00ca\u0001\u0000\u0000\u0000\u04ce\u04cf\u0005_\u0000\u0000\u04cf"+ + "\u00cc\u0001\u0000\u0000\u0000\u04d0\u04d4\u0003\u00bdU\u0000\u04d1\u04d4"+ + "\u0003\u00bbT\u0000\u04d2\u04d4\u0003\u00cb\\\u0000\u04d3\u04d0\u0001"+ + "\u0000\u0000\u0000\u04d3\u04d1\u0001\u0000\u0000\u0000\u04d3\u04d2\u0001"+ + "\u0000\u0000\u0000\u04d4\u00ce\u0001\u0000\u0000\u0000\u04d5\u04da\u0005"+ + "\"\u0000\u0000\u04d6\u04d9\u0003\u00bfV\u0000\u04d7\u04d9\u0003\u00c1"+ + "W\u0000\u04d8\u04d6\u0001\u0000\u0000\u0000\u04d8\u04d7\u0001\u0000\u0000"+ + "\u0000\u04d9\u04dc\u0001\u0000\u0000\u0000\u04da\u04d8\u0001\u0000\u0000"+ + "\u0000\u04da\u04db\u0001\u0000\u0000\u0000\u04db\u04dd\u0001\u0000\u0000"+ + "\u0000\u04dc\u04da\u0001\u0000\u0000\u0000\u04dd\u04f3\u0005\"\u0000\u0000"+ + "\u04de\u04df\u0005\"\u0000\u0000\u04df\u04e0\u0005\"\u0000\u0000\u04e0"+ + "\u04e1\u0005\"\u0000\u0000\u04e1\u04e5\u0001\u0000\u0000\u0000\u04e2\u04e4"+ + "\b\u0000\u0000\u0000\u04e3\u04e2\u0001\u0000\u0000\u0000\u04e4\u04e7\u0001"+ + "\u0000\u0000\u0000\u04e5\u04e6\u0001\u0000\u0000\u0000\u04e5\u04e3\u0001"+ + "\u0000\u0000\u0000\u04e6\u04e8\u0001\u0000\u0000\u0000\u04e7\u04e5\u0001"+ + "\u0000\u0000\u0000\u04e8\u04e9\u0005\"\u0000\u0000\u04e9\u04ea\u0005\""+ + "\u0000\u0000\u04ea\u04eb\u0005\"\u0000\u0000\u04eb\u04ed\u0001\u0000\u0000"+ + "\u0000\u04ec\u04ee\u0005\"\u0000\u0000\u04ed\u04ec\u0001\u0000\u0000\u0000"+ + "\u04ed\u04ee\u0001\u0000\u0000\u0000\u04ee\u04f0\u0001\u0000\u0000\u0000"+ + "\u04ef\u04f1\u0005\"\u0000\u0000\u04f0\u04ef\u0001\u0000\u0000\u0000\u04f0"+ + "\u04f1\u0001\u0000\u0000\u0000\u04f1\u04f3\u0001\u0000\u0000\u0000\u04f2"+ + "\u04d5\u0001\u0000\u0000\u0000\u04f2\u04de\u0001\u0000\u0000\u0000\u04f3"+ + "\u00d0\u0001\u0000\u0000\u0000\u04f4\u04f6\u0003\u00bbT\u0000\u04f5\u04f4"+ + "\u0001\u0000\u0000\u0000\u04f6\u04f7\u0001\u0000\u0000\u0000\u04f7\u04f5"+ + "\u0001\u0000\u0000\u0000\u04f7\u04f8\u0001\u0000\u0000\u0000\u04f8\u00d2"+ + "\u0001\u0000\u0000\u0000\u04f9\u04fb\u0003\u00bbT\u0000\u04fa\u04f9\u0001"+ + "\u0000\u0000\u0000\u04fb\u04fc\u0001\u0000\u0000\u0000\u04fc\u04fa\u0001"+ + "\u0000\u0000\u0000\u04fc\u04fd\u0001\u0000\u0000\u0000\u04fd\u04fe\u0001"+ + "\u0000\u0000\u0000\u04fe\u0502\u0003\u00e7j\u0000\u04ff\u0501\u0003\u00bb"+ + "T\u0000\u0500\u04ff\u0001\u0000\u0000\u0000\u0501\u0504\u0001\u0000\u0000"+ + "\u0000\u0502\u0500\u0001\u0000\u0000\u0000\u0502\u0503\u0001\u0000\u0000"+ + "\u0000\u0503\u0524\u0001\u0000\u0000\u0000\u0504\u0502\u0001\u0000\u0000"+ + "\u0000\u0505\u0507\u0003\u00e7j\u0000\u0506\u0508\u0003\u00bbT\u0000\u0507"+ + "\u0506\u0001\u0000\u0000\u0000\u0508\u0509\u0001\u0000\u0000\u0000\u0509"+ + "\u0507\u0001\u0000\u0000\u0000\u0509\u050a\u0001\u0000\u0000\u0000\u050a"+ + "\u0524\u0001\u0000\u0000\u0000\u050b\u050d\u0003\u00bbT\u0000\u050c\u050b"+ + "\u0001\u0000\u0000\u0000\u050d\u050e\u0001\u0000\u0000\u0000\u050e\u050c"+ + "\u0001\u0000\u0000\u0000\u050e\u050f\u0001\u0000\u0000\u0000\u050f\u0517"+ + "\u0001\u0000\u0000\u0000\u0510\u0514\u0003\u00e7j\u0000\u0511\u0513\u0003"+ + "\u00bbT\u0000\u0512\u0511\u0001\u0000\u0000\u0000\u0513\u0516\u0001\u0000"+ + "\u0000\u0000\u0514\u0512\u0001\u0000\u0000\u0000\u0514\u0515\u0001\u0000"+ + "\u0000\u0000\u0515\u0518\u0001\u0000\u0000\u0000\u0516\u0514\u0001\u0000"+ + "\u0000\u0000\u0517\u0510\u0001\u0000\u0000\u0000\u0517\u0518\u0001\u0000"+ + "\u0000\u0000\u0518\u0519\u0001\u0000\u0000\u0000\u0519\u051a\u0003\u00c3"+ + "X\u0000\u051a\u0524\u0001\u0000\u0000\u0000\u051b\u051d\u0003\u00e7j\u0000"+ + "\u051c\u051e\u0003\u00bbT\u0000\u051d\u051c\u0001\u0000\u0000\u0000\u051e"+ + "\u051f\u0001\u0000\u0000\u0000\u051f\u051d\u0001\u0000\u0000\u0000\u051f"+ + "\u0520\u0001\u0000\u0000\u0000\u0520\u0521\u0001\u0000\u0000\u0000\u0521"+ + "\u0522\u0003\u00c3X\u0000\u0522\u0524\u0001\u0000\u0000\u0000\u0523\u04fa"+ + "\u0001\u0000\u0000\u0000\u0523\u0505\u0001\u0000\u0000\u0000\u0523\u050c"+ + "\u0001\u0000\u0000\u0000\u0523\u051b\u0001\u0000\u0000\u0000\u0524\u00d4"+ + "\u0001\u0000\u0000\u0000\u0525\u0526\u0007\u0004\u0000\u0000\u0526\u0527"+ + "\u0007\u0005\u0000\u0000\u0527\u0528\u0007\u0010\u0000\u0000\u0528\u00d6"+ + "\u0001\u0000\u0000\u0000\u0529\u052a\u0007\u0004\u0000\u0000\u052a\u052b"+ + "\u0007\u0011\u0000\u0000\u052b\u052c\u0007\u0002\u0000\u0000\u052c\u00d8"+ + "\u0001\u0000\u0000\u0000\u052d\u052e\u0005=\u0000\u0000\u052e\u00da\u0001"+ + "\u0000\u0000\u0000\u052f\u0530\u0007 \u0000\u0000\u0530\u0531\u0007!\u0000"+ + "\u0000\u0531\u00dc\u0001\u0000\u0000\u0000\u0532\u0533\u0005:\u0000\u0000"+ + "\u0533\u0534\u0005:\u0000\u0000\u0534\u00de\u0001\u0000\u0000\u0000\u0535"+ + "\u0536\u0005:\u0000\u0000\u0536\u00e0\u0001\u0000\u0000\u0000\u0537\u0538"+ + "\u0005;\u0000\u0000\u0538\u00e2\u0001\u0000\u0000\u0000\u0539\u053a\u0005"+ + ",\u0000\u0000\u053a\u00e4\u0001\u0000\u0000\u0000\u053b\u053c\u0007\u0010"+ + "\u0000\u0000\u053c\u053d\u0007\u0007\u0000\u0000\u053d\u053e\u0007\u0011"+ + "\u0000\u0000\u053e\u053f\u0007\u0002\u0000\u0000\u053f\u00e6\u0001\u0000"+ + "\u0000\u0000\u0540\u0541\u0005.\u0000\u0000\u0541\u00e8\u0001\u0000\u0000"+ + "\u0000\u0542\u0543\u0007\u0015\u0000\u0000\u0543\u0544\u0007\u0004\u0000"+ + "\u0000\u0544\u0545\u0007\u000e\u0000\u0000\u0545\u0546\u0007\u0011\u0000"+ + "\u0000\u0546\u0547\u0007\u0007\u0000\u0000\u0547\u00ea\u0001\u0000\u0000"+ + "\u0000\u0548\u0549\u0007\u0015\u0000\u0000\u0549\u054a\u0007\n\u0000\u0000"+ + "\u054a\u054b\u0007\f\u0000\u0000\u054b\u054c\u0007\u0011\u0000\u0000\u054c"+ + "\u054d\u0007\u000b\u0000\u0000\u054d\u00ec\u0001\u0000\u0000\u0000\u054e"+ + "\u054f\u0007\n\u0000\u0000\u054f\u0550\u0007\u0005\u0000\u0000\u0550\u00ee"+ + "\u0001\u0000\u0000\u0000\u0551\u0552\u0007\n\u0000\u0000\u0552\u0553\u0007"+ + "\u0011\u0000\u0000\u0553\u00f0\u0001\u0000\u0000\u0000\u0554\u0555\u0007"+ + "\u000e\u0000\u0000\u0555\u0556\u0007\u0004\u0000\u0000\u0556\u0557\u0007"+ + "\u0011\u0000\u0000\u0557\u0558\u0007\u000b\u0000\u0000\u0558\u00f2\u0001"+ + "\u0000\u0000\u0000\u0559\u055a\u0007\u000e\u0000\u0000\u055a\u055b\u0007"+ + "\n\u0000\u0000\u055b\u055c\u0007\u0013\u0000\u0000\u055c\u055d\u0007\u0007"+ + "\u0000\u0000\u055d\u00f4\u0001\u0000\u0000\u0000\u055e\u055f\u0007\u0005"+ + "\u0000\u0000\u055f\u0560\u0007\t\u0000\u0000\u0560\u0561\u0007\u000b\u0000"+ + "\u0000\u0561\u00f6\u0001\u0000\u0000\u0000\u0562\u0563\u0007\u0005\u0000"+ + "\u0000\u0563\u0564\u0007\u0016\u0000\u0000\u0564\u0565\u0007\u000e\u0000"+ + "\u0000\u0565\u0566\u0007\u000e\u0000\u0000\u0566\u00f8\u0001\u0000\u0000"+ + "\u0000\u0567\u0568\u0007\u0005\u0000\u0000\u0568\u0569\u0007\u0016\u0000"+ + "\u0000\u0569\u056a\u0007\u000e\u0000\u0000\u056a\u056b\u0007\u000e\u0000"+ + "\u0000\u056b\u056c\u0007\u0011\u0000\u0000\u056c\u00fa\u0001\u0000\u0000"+ + "\u0000\u056d\u056e\u0007\t\u0000\u0000\u056e\u056f\u0007\u0005\u0000\u0000"+ + "\u056f\u00fc\u0001\u0000\u0000\u0000\u0570\u0571\u0007\t\u0000\u0000\u0571"+ + "\u0572\u0007\f\u0000\u0000\u0572\u00fe\u0001\u0000\u0000\u0000\u0573\u0574"+ + "\u0005?\u0000\u0000\u0574\u0100\u0001\u0000\u0000\u0000\u0575\u0576\u0007"+ + "\f\u0000\u0000\u0576\u0577\u0007\u000e\u0000\u0000\u0577\u0578\u0007\n"+ + "\u0000\u0000\u0578\u0579\u0007\u0013\u0000\u0000\u0579\u057a\u0007\u0007"+ + "\u0000\u0000\u057a\u0102\u0001\u0000\u0000\u0000\u057b\u057c\u0007\u000b"+ + "\u0000\u0000\u057c\u057d\u0007\f\u0000\u0000\u057d\u057e\u0007\u0016\u0000"+ + "\u0000\u057e\u057f\u0007\u0007\u0000\u0000\u057f\u0104\u0001\u0000\u0000"+ + "\u0000\u0580\u0581\u0007\u0014\u0000\u0000\u0581\u0582\u0007\n\u0000\u0000"+ + "\u0582\u0583\u0007\u000b\u0000\u0000\u0583\u0584\u0007\u0003\u0000\u0000"+ + "\u0584\u0106\u0001\u0000\u0000\u0000\u0585\u0586\u0005=\u0000\u0000\u0586"+ + "\u0587\u0005=\u0000\u0000\u0587\u0108\u0001\u0000\u0000\u0000\u0588\u0589"+ + "\u0005=\u0000\u0000\u0589\u058a\u0005~\u0000\u0000\u058a\u010a\u0001\u0000"+ + "\u0000\u0000\u058b\u058c\u0005!\u0000\u0000\u058c\u058d\u0005=\u0000\u0000"+ + "\u058d\u010c\u0001\u0000\u0000\u0000\u058e\u058f\u0005<\u0000\u0000\u058f"+ + "\u010e\u0001\u0000\u0000\u0000\u0590\u0591\u0005<\u0000\u0000\u0591\u0592"+ + "\u0005=\u0000\u0000\u0592\u0110\u0001\u0000\u0000\u0000\u0593\u0594\u0005"+ + ">\u0000\u0000\u0594\u0112\u0001\u0000\u0000\u0000\u0595\u0596\u0005>\u0000"+ + "\u0000\u0596\u0597\u0005=\u0000\u0000\u0597\u0114\u0001\u0000\u0000\u0000"+ + "\u0598\u0599\u0005+\u0000\u0000\u0599\u0116\u0001\u0000\u0000\u0000\u059a"+ + "\u059b\u0005-\u0000\u0000\u059b\u0118\u0001\u0000\u0000\u0000\u059c\u059d"+ + "\u0005*\u0000\u0000\u059d\u011a\u0001\u0000\u0000\u0000\u059e\u059f\u0005"+ + "/\u0000\u0000\u059f\u011c\u0001\u0000\u0000\u0000\u05a0\u05a1\u0005%\u0000"+ + "\u0000\u05a1\u011e\u0001\u0000\u0000\u0000\u05a2\u05a3\u0005{\u0000\u0000"+ + "\u05a3\u0120\u0001\u0000\u0000\u0000\u05a4\u05a5\u0005}\u0000\u0000\u05a5"+ + "\u0122\u0001\u0000\u0000\u0000\u05a6\u05a7\u0005?\u0000\u0000\u05a7\u05a8"+ + "\u0005?\u0000\u0000\u05a8\u0124\u0001\u0000\u0000\u0000\u05a9\u05aa\u0003"+ + "3\u0010\u0000\u05aa\u05ab\u0001\u0000\u0000\u0000\u05ab\u05ac\u0006\u0089"+ + "(\u0000\u05ac\u0126\u0001\u0000\u0000\u0000\u05ad\u05b0\u0003\u00ffv\u0000"+ + "\u05ae\u05b1\u0003\u00bdU\u0000\u05af\u05b1\u0003\u00cb\\\u0000\u05b0"+ + "\u05ae\u0001\u0000\u0000\u0000\u05b0\u05af\u0001\u0000\u0000\u0000\u05b1"+ + "\u05b5\u0001\u0000\u0000\u0000\u05b2\u05b4\u0003\u00cd]\u0000\u05b3\u05b2"+ + "\u0001\u0000\u0000\u0000\u05b4\u05b7\u0001\u0000\u0000\u0000\u05b5\u05b3"+ + "\u0001\u0000\u0000\u0000\u05b5\u05b6\u0001\u0000\u0000\u0000\u05b6\u05bf"+ + "\u0001\u0000\u0000\u0000\u05b7\u05b5\u0001\u0000\u0000\u0000\u05b8\u05ba"+ + "\u0003\u00ffv\u0000\u05b9\u05bb\u0003\u00bbT\u0000\u05ba\u05b9\u0001\u0000"+ + "\u0000\u0000\u05bb\u05bc\u0001\u0000\u0000\u0000\u05bc\u05ba\u0001\u0000"+ + "\u0000\u0000\u05bc\u05bd\u0001\u0000\u0000\u0000\u05bd\u05bf\u0001\u0000"+ + "\u0000\u0000\u05be\u05ad\u0001\u0000\u0000\u0000\u05be\u05b8\u0001\u0000"+ + "\u0000\u0000\u05bf\u0128\u0001\u0000\u0000\u0000\u05c0\u05c3\u0003\u0123"+ + "\u0088\u0000\u05c1\u05c4\u0003\u00bdU\u0000\u05c2\u05c4\u0003\u00cb\\"+ + "\u0000\u05c3\u05c1\u0001\u0000\u0000\u0000\u05c3\u05c2\u0001\u0000\u0000"+ + "\u0000\u05c4\u05c8\u0001\u0000\u0000\u0000\u05c5\u05c7\u0003\u00cd]\u0000"+ + "\u05c6\u05c5\u0001\u0000\u0000\u0000\u05c7\u05ca\u0001\u0000\u0000\u0000"+ + "\u05c8\u05c6\u0001\u0000\u0000\u0000\u05c8\u05c9\u0001\u0000\u0000\u0000"+ + "\u05c9\u05d2\u0001\u0000\u0000\u0000\u05ca\u05c8\u0001\u0000\u0000\u0000"+ + "\u05cb\u05cd\u0003\u0123\u0088\u0000\u05cc\u05ce\u0003\u00bbT\u0000\u05cd"+ + "\u05cc\u0001\u0000\u0000\u0000\u05ce\u05cf\u0001\u0000\u0000\u0000\u05cf"+ + "\u05cd\u0001\u0000\u0000\u0000\u05cf\u05d0\u0001\u0000\u0000\u0000\u05d0"+ + "\u05d2\u0001\u0000\u0000\u0000\u05d1\u05c0\u0001\u0000\u0000\u0000\u05d1"+ + "\u05cb\u0001\u0000\u0000\u0000\u05d2\u012a\u0001\u0000\u0000\u0000\u05d3"+ + "\u05d4\u0005[\u0000\u0000\u05d4\u05d5\u0001\u0000\u0000\u0000\u05d5\u05d6"+ + "\u0006\u008c\u0004\u0000\u05d6\u05d7\u0006\u008c\u0004\u0000\u05d7\u012c"+ + "\u0001\u0000\u0000\u0000\u05d8\u05d9\u0005]\u0000\u0000\u05d9\u05da\u0001"+ + "\u0000\u0000\u0000\u05da\u05db\u0006\u008d\u0012\u0000\u05db\u05dc\u0006"+ + "\u008d\u0012\u0000\u05dc\u012e\u0001\u0000\u0000\u0000\u05dd\u05de\u0005"+ + "(\u0000\u0000\u05de\u05df\u0001\u0000\u0000\u0000\u05df\u05e0\u0006\u008e"+ + "\u0004\u0000\u05e0\u05e1\u0006\u008e\u0004\u0000\u05e1\u0130\u0001\u0000"+ + "\u0000\u0000\u05e2\u05e3\u0005)\u0000\u0000\u05e3\u05e4\u0001\u0000\u0000"+ + "\u0000\u05e4\u05e5\u0006\u008f\u0012\u0000\u05e5\u05e6\u0006\u008f\u0012"+ + "\u0000\u05e6\u0132\u0001\u0000\u0000\u0000\u05e7\u05eb\u0003\u00bdU\u0000"+ + "\u05e8\u05ea\u0003\u00cd]\u0000\u05e9\u05e8\u0001\u0000\u0000\u0000\u05ea"+ + "\u05ed\u0001\u0000\u0000\u0000\u05eb\u05e9\u0001\u0000\u0000\u0000\u05eb"+ + "\u05ec\u0001\u0000\u0000\u0000\u05ec\u05f8\u0001\u0000\u0000\u0000\u05ed"+ + "\u05eb\u0001\u0000\u0000\u0000\u05ee\u05f1\u0003\u00cb\\\u0000\u05ef\u05f1"+ + "\u0003\u00c5Y\u0000\u05f0\u05ee\u0001\u0000\u0000\u0000\u05f0\u05ef\u0001"+ + "\u0000\u0000\u0000\u05f1\u05f3\u0001\u0000\u0000\u0000\u05f2\u05f4\u0003"+ + "\u00cd]\u0000\u05f3\u05f2\u0001\u0000\u0000\u0000\u05f4\u05f5\u0001\u0000"+ + "\u0000\u0000\u05f5\u05f3\u0001\u0000\u0000\u0000\u05f5\u05f6\u0001\u0000"+ + "\u0000\u0000\u05f6\u05f8\u0001\u0000\u0000\u0000\u05f7\u05e7\u0001\u0000"+ + "\u0000\u0000\u05f7\u05f0\u0001\u0000\u0000\u0000\u05f8\u0134\u0001\u0000"+ + "\u0000\u0000\u05f9\u05fb\u0003\u00c7Z\u0000\u05fa\u05fc\u0003\u00c9[\u0000"+ + "\u05fb\u05fa\u0001\u0000\u0000\u0000\u05fc\u05fd\u0001\u0000\u0000\u0000"+ + "\u05fd\u05fb\u0001\u0000\u0000\u0000\u05fd\u05fe\u0001\u0000\u0000\u0000"+ + "\u05fe\u05ff\u0001\u0000\u0000\u0000\u05ff\u0600\u0003\u00c7Z\u0000\u0600"+ + "\u0136\u0001\u0000\u0000\u0000\u0601\u0602\u0003\u0135\u0091\u0000\u0602"+ + "\u0138\u0001\u0000\u0000\u0000\u0603\u0604\u0003\u0013\u0000\u0000\u0604"+ + "\u0605\u0001\u0000\u0000\u0000\u0605\u0606\u0006\u0093\u0000\u0000\u0606"+ + "\u013a\u0001\u0000\u0000\u0000\u0607\u0608\u0003\u0015\u0001\u0000\u0608"+ + "\u0609\u0001\u0000\u0000\u0000\u0609\u060a\u0006\u0094\u0000\u0000\u060a"+ + "\u013c\u0001\u0000\u0000\u0000\u060b\u060c\u0003\u0017\u0002\u0000\u060c"+ + "\u060d\u0001\u0000\u0000\u0000\u060d\u060e\u0006\u0095\u0000\u0000\u060e"+ + "\u013e\u0001\u0000\u0000\u0000\u060f\u0610\u0003\u00b9S\u0000\u0610\u0611"+ + "\u0001\u0000\u0000\u0000\u0611\u0612\u0006\u0096\u0011\u0000\u0612\u0613"+ + "\u0006\u0096\u0012\u0000\u0613\u0140\u0001\u0000\u0000\u0000\u0614\u0615"+ + "\u0003\u00dff\u0000\u0615\u0616\u0001\u0000\u0000\u0000\u0616\u0617\u0006"+ + "\u0097)\u0000\u0617\u0142\u0001\u0000\u0000\u0000\u0618\u0619\u0003\u00dd"+ + "e\u0000\u0619\u061a\u0001\u0000\u0000\u0000\u061a\u061b\u0006\u0098*\u0000"+ + "\u061b\u0144\u0001\u0000\u0000\u0000\u061c\u061d\u0003\u00e3h\u0000\u061d"+ + "\u061e\u0001\u0000\u0000\u0000\u061e\u061f\u0006\u0099\u0017\u0000\u061f"+ + "\u0146\u0001\u0000\u0000\u0000\u0620\u0621\u0003\u00d9c\u0000\u0621\u0622"+ + "\u0001\u0000\u0000\u0000\u0622\u0623\u0006\u009a \u0000\u0623\u0148\u0001"+ + "\u0000\u0000\u0000\u0624\u0625\u0007\u000f\u0000\u0000\u0625\u0626\u0007"+ + "\u0007\u0000\u0000\u0626\u0627\u0007\u000b\u0000\u0000\u0627\u0628\u0007"+ + "\u0004\u0000\u0000\u0628\u0629\u0007\u0010\u0000\u0000\u0629\u062a\u0007"+ + "\u0004\u0000\u0000\u062a\u062b\u0007\u000b\u0000\u0000\u062b\u062c\u0007"+ + "\u0004\u0000\u0000\u062c\u014a\u0001\u0000\u0000\u0000\u062d\u062e\u0003"+ + "\u0131\u008f\u0000\u062e\u062f\u0001\u0000\u0000\u0000\u062f\u0630\u0006"+ + "\u009c\u0013\u0000\u0630\u0631\u0006\u009c\u0012\u0000\u0631\u0632\u0006"+ + "\u009c\u0012\u0000\u0632\u014c\u0001\u0000\u0000\u0000\u0633\u0634\u0003"+ + "\u012f\u008e\u0000\u0634\u0635\u0001\u0000\u0000\u0000\u0635\u0636\u0006"+ + "\u009d&\u0000\u0636\u0637\u0006\u009d\'\u0000\u0637\u014e\u0001\u0000"+ + "\u0000\u0000\u0638\u063c\b\"\u0000\u0000\u0639\u063a\u0005/\u0000\u0000"+ + "\u063a\u063c\b#\u0000\u0000\u063b\u0638\u0001\u0000\u0000\u0000\u063b"+ + "\u0639\u0001\u0000\u0000\u0000\u063c\u0150\u0001\u0000\u0000\u0000\u063d"+ + "\u063f\u0003\u014f\u009e\u0000\u063e\u063d\u0001\u0000\u0000\u0000\u063f"+ + "\u0640\u0001\u0000\u0000\u0000\u0640\u063e\u0001\u0000\u0000\u0000\u0640"+ + "\u0641\u0001\u0000\u0000\u0000\u0641\u0152\u0001\u0000\u0000\u0000\u0642"+ + "\u0643\u0003\u0151\u009f\u0000\u0643\u0644\u0001\u0000\u0000\u0000\u0644"+ + "\u0645\u0006\u00a0+\u0000\u0645\u0154\u0001\u0000\u0000\u0000\u0646\u0647"+ + "\u0003\u00cf^\u0000\u0647\u0648\u0001\u0000\u0000\u0000\u0648\u0649\u0006"+ + "\u00a1\u001f\u0000\u0649\u0156\u0001\u0000\u0000\u0000\u064a\u064b\u0003"+ + "\u0013\u0000\u0000\u064b\u064c\u0001\u0000\u0000\u0000\u064c\u064d\u0006"+ + "\u00a2\u0000\u0000\u064d\u0158\u0001\u0000\u0000\u0000\u064e\u064f\u0003"+ + "\u0015\u0001\u0000\u064f\u0650\u0001\u0000\u0000\u0000\u0650\u0651\u0006"+ + "\u00a3\u0000\u0000\u0651\u015a\u0001\u0000\u0000\u0000\u0652\u0653\u0003"+ + "\u0017\u0002\u0000\u0653\u0654\u0001\u0000\u0000\u0000\u0654\u0655\u0006"+ + "\u00a4\u0000\u0000\u0655\u015c\u0001\u0000\u0000\u0000\u0656\u0657\u0003"+ + "\u012f\u008e\u0000\u0657\u0658\u0001\u0000\u0000\u0000\u0658\u0659\u0006"+ + "\u00a5&\u0000\u0659\u065a\u0006\u00a5\'\u0000\u065a\u015e\u0001\u0000"+ + "\u0000\u0000\u065b\u065c\u0003\u0131\u008f\u0000\u065c\u065d\u0001\u0000"+ + "\u0000\u0000\u065d\u065e\u0006\u00a6\u0013\u0000\u065e\u065f\u0006\u00a6"+ + "\u0012\u0000\u065f\u0660\u0006\u00a6\u0012\u0000\u0660\u0160\u0001\u0000"+ + "\u0000\u0000\u0661\u0662\u0003\u00b9S\u0000\u0662\u0663\u0001\u0000\u0000"+ + "\u0000\u0663\u0664\u0006\u00a7\u0011\u0000\u0664\u0665\u0006\u00a7\u0012"+ + "\u0000\u0665\u0162\u0001\u0000\u0000\u0000\u0666\u0667\u0003\u0017\u0002"+ + "\u0000\u0667\u0668\u0001\u0000\u0000\u0000\u0668\u0669\u0006\u00a8\u0000"+ + "\u0000\u0669\u0164\u0001\u0000\u0000\u0000\u066a\u066b\u0003\u0013\u0000"+ + "\u0000\u066b\u066c\u0001\u0000\u0000\u0000\u066c\u066d\u0006\u00a9\u0000"+ + "\u0000\u066d\u0166\u0001\u0000\u0000\u0000\u066e\u066f\u0003\u0015\u0001"+ + "\u0000\u066f\u0670\u0001\u0000\u0000\u0000\u0670\u0671\u0006\u00aa\u0000"+ + "\u0000\u0671\u0168\u0001\u0000\u0000\u0000\u0672\u0673\u0003\u00b9S\u0000"+ + "\u0673\u0674\u0001\u0000\u0000\u0000\u0674\u0675\u0006\u00ab\u0011\u0000"+ + "\u0675\u0676\u0006\u00ab\u0012\u0000\u0676\u016a\u0001\u0000\u0000\u0000"+ + "\u0677\u0678\u0003\u0131\u008f\u0000\u0678\u0679\u0001\u0000\u0000\u0000"+ + "\u0679\u067a\u0006\u00ac\u0013\u0000\u067a\u067b\u0006\u00ac\u0012\u0000"+ + "\u067b\u067c\u0006\u00ac\u0012\u0000\u067c\u016c\u0001\u0000\u0000\u0000"+ + "\u067d\u067e\u0007\u0006\u0000\u0000\u067e\u067f\u0007\f\u0000\u0000\u067f"+ + "\u0680\u0007\t\u0000\u0000\u0680\u0681\u0007\u0016\u0000\u0000\u0681\u0682"+ + "\u0007\b\u0000\u0000\u0682\u016e\u0001\u0000\u0000\u0000\u0683\u0684\u0007"+ + "\u0011\u0000\u0000\u0684\u0685\u0007\u0002\u0000\u0000\u0685\u0686\u0007"+ + "\t\u0000\u0000\u0686\u0687\u0007\f\u0000\u0000\u0687\u0688\u0007\u0007"+ + "\u0000\u0000\u0688\u0170\u0001\u0000\u0000\u0000\u0689\u068a\u0007\u0013"+ + "\u0000\u0000\u068a\u068b\u0007\u0007\u0000\u0000\u068b\u068c\u0007!\u0000"+ + "\u0000\u068c\u0172\u0001\u0000\u0000\u0000\u068d\u068e\u0003\u0105y\u0000"+ + "\u068e\u068f\u0001\u0000\u0000\u0000\u068f\u0690\u0006\u00b0\u001d\u0000"+ + "\u0690\u0691\u0006\u00b0\u0012\u0000\u0691\u0692\u0006\u00b0\u0004\u0000"+ + "\u0692\u0174\u0001\u0000\u0000\u0000\u0693\u0694\u0003\u00e3h\u0000\u0694"+ + "\u0695\u0001\u0000\u0000\u0000\u0695\u0696\u0006\u00b1\u0017\u0000\u0696"+ + "\u0176\u0001\u0000\u0000\u0000\u0697\u0698\u0003\u00e7j\u0000\u0698\u0699"+ + "\u0001\u0000\u0000\u0000\u0699\u069a\u0006\u00b2\u0016\u0000\u069a\u0178"+ + "\u0001\u0000\u0000\u0000\u069b\u069c\u0003\u00ffv\u0000\u069c\u069d\u0001"+ + "\u0000\u0000\u0000\u069d\u069e\u0006\u00b3\"\u0000\u069e\u017a\u0001\u0000"+ + "\u0000\u0000\u069f\u06a0\u0003\u0127\u008a\u0000\u06a0\u06a1\u0001\u0000"+ + "\u0000\u0000\u06a1\u06a2\u0006\u00b4#\u0000\u06a2\u017c\u0001\u0000\u0000"+ + "\u0000\u06a3\u06a4\u0003\u0123\u0088\u0000\u06a4\u06a5\u0001\u0000\u0000"+ + "\u0000\u06a5\u06a6\u0006\u00b5$\u0000\u06a6\u017e\u0001\u0000\u0000\u0000"+ + "\u06a7\u06a8\u0003\u0129\u008b\u0000\u06a8\u06a9\u0001\u0000\u0000\u0000"+ + "\u06a9\u06aa\u0006\u00b6%\u0000\u06aa\u0180\u0001\u0000\u0000\u0000\u06ab"+ + "\u06ac\u0003\u00dbd\u0000\u06ac\u06ad\u0001\u0000\u0000\u0000\u06ad\u06ae"+ + "\u0006\u00b7,\u0000\u06ae\u0182\u0001\u0000\u0000\u0000\u06af\u06b0\u0003"+ + "\u0137\u0092\u0000\u06b0\u06b1\u0001\u0000\u0000\u0000\u06b1\u06b2\u0006"+ + "\u00b8\u001a\u0000\u06b2\u0184\u0001\u0000\u0000\u0000\u06b3\u06b4\u0003"+ + "\u0133\u0090\u0000\u06b4\u06b5\u0001\u0000\u0000\u0000\u06b5\u06b6\u0006"+ + "\u00b9\u001b\u0000\u06b6\u0186\u0001\u0000\u0000\u0000\u06b7\u06b8\u0003"+ + "\u0013\u0000\u0000\u06b8\u06b9\u0001\u0000\u0000\u0000\u06b9\u06ba\u0006"+ + "\u00ba\u0000\u0000\u06ba\u0188\u0001\u0000\u0000\u0000\u06bb\u06bc\u0003"+ + "\u0015\u0001\u0000\u06bc\u06bd\u0001\u0000\u0000\u0000\u06bd\u06be\u0006"+ + "\u00bb\u0000\u0000\u06be\u018a\u0001\u0000\u0000\u0000\u06bf\u06c0\u0003"+ + "\u0017\u0002\u0000\u06c0\u06c1\u0001\u0000\u0000\u0000\u06c1\u06c2\u0006"+ + "\u00bc\u0000\u0000\u06c2\u018c\u0001\u0000\u0000\u0000\u06c3\u06c4\u0007"+ + "\u0011\u0000\u0000\u06c4\u06c5\u0007\u000b\u0000\u0000\u06c5\u06c6\u0007"+ + "\u0004\u0000\u0000\u06c6\u06c7\u0007\u000b\u0000\u0000\u06c7\u06c8\u0007"+ + "\u0011\u0000\u0000\u06c8\u06c9\u0001\u0000\u0000\u0000\u06c9\u06ca\u0006"+ + "\u00bd\u0012\u0000\u06ca\u06cb\u0006\u00bd\u0004\u0000\u06cb\u018e\u0001"+ + "\u0000\u0000\u0000\u06cc\u06cd\u0003\u0013\u0000\u0000\u06cd\u06ce\u0001"+ + "\u0000\u0000\u0000\u06ce\u06cf\u0006\u00be\u0000\u0000\u06cf\u0190\u0001"+ + "\u0000\u0000\u0000\u06d0\u06d1\u0003\u0015\u0001\u0000\u06d1\u06d2\u0001"+ + "\u0000\u0000\u0000\u06d2\u06d3\u0006\u00bf\u0000\u0000\u06d3\u0192\u0001"+ + "\u0000\u0000\u0000\u06d4\u06d5\u0003\u0017\u0002\u0000\u06d5\u06d6\u0001"+ + "\u0000\u0000\u0000\u06d6\u06d7\u0006\u00c0\u0000\u0000\u06d7\u0194\u0001"+ + "\u0000\u0000\u0000\u06d8\u06d9\u0003\u00b9S\u0000\u06d9\u06da\u0001\u0000"+ + "\u0000\u0000\u06da\u06db\u0006\u00c1\u0011\u0000\u06db\u06dc\u0006\u00c1"+ + "\u0012\u0000\u06dc\u0196\u0001\u0000\u0000\u0000\u06dd\u06de\u0007$\u0000"+ + "\u0000\u06de\u06df\u0007\t\u0000\u0000\u06df\u06e0\u0007\n\u0000\u0000"+ + "\u06e0\u06e1\u0007\u0005\u0000\u0000\u06e1\u0198\u0001\u0000\u0000\u0000"+ + "\u06e2\u06e3\u0003\u0249\u011b\u0000\u06e3\u06e4\u0001\u0000\u0000\u0000"+ + "\u06e4\u06e5\u0006\u00c3\u0015\u0000\u06e5\u019a\u0001\u0000\u0000\u0000"+ + "\u06e6\u06e7\u0003\u00fbt\u0000\u06e7\u06e8\u0001\u0000\u0000\u0000\u06e8"+ + "\u06e9\u0006\u00c4\u0014\u0000\u06e9\u06ea\u0006\u00c4\u0012\u0000\u06ea"+ + "\u06eb\u0006\u00c4\u0004\u0000\u06eb\u019c\u0001\u0000\u0000\u0000\u06ec"+ + "\u06ed\u0007\u0016\u0000\u0000\u06ed\u06ee\u0007\u0011\u0000\u0000\u06ee"+ + "\u06ef\u0007\n\u0000\u0000\u06ef\u06f0\u0007\u0005\u0000\u0000\u06f0\u06f1"+ + "\u0007\u0006\u0000\u0000\u06f1\u06f2\u0001\u0000\u0000\u0000\u06f2\u06f3"+ + "\u0006\u00c5\u0012\u0000\u06f3\u06f4\u0006\u00c5\u0004\u0000\u06f4\u019e"+ + "\u0001\u0000\u0000\u0000\u06f5\u06f6\u0003\u0151\u009f\u0000\u06f6\u06f7"+ + "\u0001\u0000\u0000\u0000\u06f7\u06f8\u0006\u00c6+\u0000\u06f8\u01a0\u0001"+ + "\u0000\u0000\u0000\u06f9\u06fa\u0003\u00cf^\u0000\u06fa\u06fb\u0001\u0000"+ + "\u0000\u0000\u06fb\u06fc\u0006\u00c7\u001f\u0000\u06fc\u01a2\u0001\u0000"+ + "\u0000\u0000\u06fd\u06fe\u0003\u00dff\u0000\u06fe\u06ff\u0001\u0000\u0000"+ + "\u0000\u06ff\u0700\u0006\u00c8)\u0000\u0700\u01a4\u0001\u0000\u0000\u0000"+ + "\u0701\u0702\u0003\u0013\u0000\u0000\u0702\u0703\u0001\u0000\u0000\u0000"+ + "\u0703\u0704\u0006\u00c9\u0000\u0000\u0704\u01a6\u0001\u0000\u0000\u0000"+ + "\u0705\u0706\u0003\u0015\u0001\u0000\u0706\u0707\u0001\u0000\u0000\u0000"+ + "\u0707\u0708\u0006\u00ca\u0000\u0000\u0708\u01a8\u0001\u0000\u0000\u0000"+ + "\u0709\u070a\u0003\u0017\u0002\u0000\u070a\u070b\u0001\u0000\u0000\u0000"+ + "\u070b\u070c\u0006\u00cb\u0000\u0000\u070c\u01aa\u0001\u0000\u0000\u0000"+ + "\u070d\u070e\u0003\u00b9S\u0000\u070e\u070f\u0001\u0000\u0000\u0000\u070f"+ + "\u0710\u0006\u00cc\u0011\u0000\u0710\u0711\u0006\u00cc\u0012\u0000\u0711"+ + "\u01ac\u0001\u0000\u0000\u0000\u0712\u0713\u0003\u0131\u008f\u0000\u0713"+ + "\u0714\u0001\u0000\u0000\u0000\u0714\u0715\u0006\u00cd\u0013\u0000\u0715"+ + "\u0716\u0006\u00cd\u0012\u0000\u0716\u0717\u0006\u00cd\u0012\u0000\u0717"+ + "\u01ae\u0001\u0000\u0000\u0000\u0718\u0719\u0003\u00dff\u0000\u0719\u071a"+ + "\u0001\u0000\u0000\u0000\u071a\u071b\u0006\u00ce)\u0000\u071b\u01b0\u0001"+ + "\u0000\u0000\u0000\u071c\u071d\u0003\u00e3h\u0000\u071d\u071e\u0001\u0000"+ + "\u0000\u0000\u071e\u071f\u0006\u00cf\u0017\u0000\u071f\u01b2\u0001\u0000"+ + "\u0000\u0000\u0720\u0721\u0003\u00e7j\u0000\u0721\u0722\u0001\u0000\u0000"+ + "\u0000\u0722\u0723\u0006\u00d0\u0016\u0000\u0723\u01b4\u0001\u0000\u0000"+ + "\u0000\u0724\u0725\u0003\u00fbt\u0000\u0725\u0726\u0001\u0000\u0000\u0000"+ + "\u0726\u0727\u0006\u00d1\u0014\u0000\u0727\u0728\u0006\u00d1-\u0000\u0728"+ + "\u01b6\u0001\u0000\u0000\u0000\u0729\u072a\u0003\u0151\u009f\u0000\u072a"+ + "\u072b\u0001\u0000\u0000\u0000\u072b\u072c\u0006\u00d2+\u0000\u072c\u01b8"+ + "\u0001\u0000\u0000\u0000\u072d\u072e\u0003\u00cf^\u0000\u072e\u072f\u0001"+ + "\u0000\u0000\u0000\u072f\u0730\u0006\u00d3\u001f\u0000\u0730\u01ba\u0001"+ + "\u0000\u0000\u0000\u0731\u0732\u0003\u0013\u0000\u0000\u0732\u0733\u0001"+ + "\u0000\u0000\u0000\u0733\u0734\u0006\u00d4\u0000\u0000\u0734\u01bc\u0001"+ + "\u0000\u0000\u0000\u0735\u0736\u0003\u0015\u0001\u0000\u0736\u0737\u0001"+ + "\u0000\u0000\u0000\u0737\u0738\u0006\u00d5\u0000\u0000\u0738\u01be\u0001"+ + "\u0000\u0000\u0000\u0739\u073a\u0003\u0017\u0002\u0000\u073a\u073b\u0001"+ + "\u0000\u0000\u0000\u073b\u073c\u0006\u00d6\u0000\u0000\u073c\u01c0\u0001"+ + "\u0000\u0000\u0000\u073d\u073e\u0003\u00b9S\u0000\u073e\u073f\u0001\u0000"+ + "\u0000\u0000\u073f\u0740\u0006\u00d7\u0011\u0000\u0740\u0741\u0006\u00d7"+ + "\u0012\u0000\u0741\u0742\u0006\u00d7\u0012\u0000\u0742\u01c2\u0001\u0000"+ + "\u0000\u0000\u0743\u0744\u0003\u0131\u008f\u0000\u0744\u0745\u0001\u0000"+ + "\u0000\u0000\u0745\u0746\u0006\u00d8\u0013\u0000\u0746\u0747\u0006\u00d8"+ + "\u0012\u0000\u0747\u0748\u0006\u00d8\u0012\u0000\u0748\u0749\u0006\u00d8"+ + "\u0012\u0000\u0749\u01c4\u0001\u0000\u0000\u0000\u074a\u074b\u0003\u00e3"+ + "h\u0000\u074b\u074c\u0001\u0000\u0000\u0000\u074c\u074d\u0006\u00d9\u0017"+ + "\u0000\u074d\u01c6\u0001\u0000\u0000\u0000\u074e\u074f\u0003\u00e7j\u0000"+ + "\u074f\u0750\u0001\u0000\u0000\u0000\u0750\u0751\u0006\u00da\u0016\u0000"+ + "\u0751\u01c8\u0001\u0000\u0000\u0000\u0752\u0753\u0003\u0205\u00f9\u0000"+ + "\u0753\u0754\u0001\u0000\u0000\u0000\u0754\u0755\u0006\u00db!\u0000\u0755"+ + "\u01ca\u0001\u0000\u0000\u0000\u0756\u0757\u0003\u0013\u0000\u0000\u0757"+ + "\u0758\u0001\u0000\u0000\u0000\u0758\u0759\u0006\u00dc\u0000\u0000\u0759"+ + "\u01cc\u0001\u0000\u0000\u0000\u075a\u075b\u0003\u0015\u0001\u0000\u075b"+ + "\u075c\u0001\u0000\u0000\u0000\u075c\u075d\u0006\u00dd\u0000\u0000\u075d"+ + "\u01ce\u0001\u0000\u0000\u0000\u075e\u075f\u0003\u0017\u0002\u0000\u075f"+ + "\u0760\u0001\u0000\u0000\u0000\u0760\u0761\u0006\u00de\u0000\u0000\u0761"+ + "\u01d0\u0001\u0000\u0000\u0000\u0762\u0763\u0003\u00b9S\u0000\u0763\u0764"+ + "\u0001\u0000\u0000\u0000\u0764\u0765\u0006\u00df\u0011\u0000\u0765\u0766"+ + "\u0006\u00df\u0012\u0000\u0766\u01d2\u0001\u0000\u0000\u0000\u0767\u0768"+ + "\u0003\u0131\u008f\u0000\u0768\u0769\u0001\u0000\u0000\u0000\u0769\u076a"+ + "\u0006\u00e0\u0013\u0000\u076a\u076b\u0006\u00e0\u0012\u0000\u076b\u076c"+ + "\u0006\u00e0\u0012\u0000\u076c\u01d4\u0001\u0000\u0000\u0000\u076d\u076e"+ + "\u0003\u012b\u008c\u0000\u076e\u076f\u0001\u0000\u0000\u0000\u076f\u0770"+ + "\u0006\u00e1\u0018\u0000\u0770\u01d6\u0001\u0000\u0000\u0000\u0771\u0772"+ + "\u0003\u012d\u008d\u0000\u0772\u0773\u0001\u0000\u0000\u0000\u0773\u0774"+ + "\u0006\u00e2\u0019\u0000\u0774\u01d8\u0001\u0000\u0000\u0000\u0775\u0776"+ + "\u0003\u00e7j\u0000\u0776\u0777\u0001\u0000\u0000\u0000\u0777\u0778\u0006"+ + "\u00e3\u0016\u0000\u0778\u01da\u0001\u0000\u0000\u0000\u0779\u077a\u0003"+ + "\u00ffv\u0000\u077a\u077b\u0001\u0000\u0000\u0000\u077b\u077c\u0006\u00e4"+ + "\"\u0000\u077c\u01dc\u0001\u0000\u0000\u0000\u077d\u077e\u0003\u0127\u008a"+ + "\u0000\u077e\u077f\u0001\u0000\u0000\u0000\u077f\u0780\u0006\u00e5#\u0000"+ + "\u0780\u01de\u0001\u0000\u0000\u0000\u0781\u0782\u0003\u0123\u0088\u0000"+ + "\u0782\u0783\u0001\u0000\u0000\u0000\u0783\u0784\u0006\u00e6$\u0000\u0784"+ + "\u01e0\u0001\u0000\u0000\u0000\u0785\u0786\u0003\u0129\u008b\u0000\u0786"+ + "\u0787\u0001\u0000\u0000\u0000\u0787\u0788\u0006\u00e7%\u0000\u0788\u01e2"+ + "\u0001\u0000\u0000\u0000\u0789\u078a\u0003\u0137\u0092\u0000\u078a\u078b"+ + "\u0001\u0000\u0000\u0000\u078b\u078c\u0006\u00e8\u001a\u0000\u078c\u01e4"+ + "\u0001\u0000\u0000\u0000\u078d\u078e\u0003\u0133\u0090\u0000\u078e\u078f"+ + "\u0001\u0000\u0000\u0000\u078f\u0790\u0006\u00e9\u001b\u0000\u0790\u01e6"+ + "\u0001\u0000\u0000\u0000\u0791\u0792\u0003\u0013\u0000\u0000\u0792\u0793"+ + "\u0001\u0000\u0000\u0000\u0793\u0794\u0006\u00ea\u0000\u0000\u0794\u01e8"+ + "\u0001\u0000\u0000\u0000\u0795\u0796\u0003\u0015\u0001\u0000\u0796\u0797"+ + "\u0001\u0000\u0000\u0000\u0797\u0798\u0006\u00eb\u0000\u0000\u0798\u01ea"+ + "\u0001\u0000\u0000\u0000\u0799\u079a\u0003\u0017\u0002\u0000\u079a\u079b"+ + "\u0001\u0000\u0000\u0000\u079b\u079c\u0006\u00ec\u0000\u0000\u079c\u01ec"+ + "\u0001\u0000\u0000\u0000\u079d\u079e\u0003\u00b9S\u0000\u079e\u079f\u0001"+ + "\u0000\u0000\u0000\u079f\u07a0\u0006\u00ed\u0011\u0000\u07a0\u07a1\u0006"+ + "\u00ed\u0012\u0000\u07a1\u01ee\u0001\u0000\u0000\u0000\u07a2\u07a3\u0003"+ + "\u0131\u008f\u0000\u07a3\u07a4\u0001\u0000\u0000\u0000\u07a4\u07a5\u0006"+ + "\u00ee\u0013\u0000\u07a5\u07a6\u0006\u00ee\u0012\u0000\u07a6\u07a7\u0006"+ + "\u00ee\u0012\u0000\u07a7\u01f0\u0001\u0000\u0000\u0000\u07a8\u07a9\u0003"+ + "\u00e7j\u0000\u07a9\u07aa\u0001\u0000\u0000\u0000\u07aa\u07ab\u0006\u00ef"+ + "\u0016\u0000\u07ab\u01f2\u0001\u0000\u0000\u0000\u07ac\u07ad\u0003\u012b"+ + "\u008c\u0000\u07ad\u07ae\u0001\u0000\u0000\u0000\u07ae\u07af\u0006\u00f0"+ + "\u0018\u0000\u07af\u01f4\u0001\u0000\u0000\u0000\u07b0\u07b1\u0003\u012d"+ + "\u008d\u0000\u07b1\u07b2\u0001\u0000\u0000\u0000\u07b2\u07b3\u0006\u00f1"+ + "\u0019\u0000\u07b3\u01f6\u0001\u0000\u0000\u0000\u07b4\u07b5\u0003\u00e3"+ + "h\u0000\u07b5\u07b6\u0001\u0000\u0000\u0000\u07b6\u07b7\u0006\u00f2\u0017"+ + "\u0000\u07b7\u01f8\u0001\u0000\u0000\u0000\u07b8\u07b9\u0003\u00ffv\u0000"+ + "\u07b9\u07ba\u0001\u0000\u0000\u0000\u07ba\u07bb\u0006\u00f3\"\u0000\u07bb"+ + "\u01fa\u0001\u0000\u0000\u0000\u07bc\u07bd\u0003\u0127\u008a\u0000\u07bd"+ + "\u07be\u0001\u0000\u0000\u0000\u07be\u07bf\u0006\u00f4#\u0000\u07bf\u01fc"+ + "\u0001\u0000\u0000\u0000\u07c0\u07c1\u0003\u0123\u0088\u0000\u07c1\u07c2"+ + "\u0001\u0000\u0000\u0000\u07c2\u07c3\u0006\u00f5$\u0000\u07c3\u01fe\u0001"+ + "\u0000\u0000\u0000\u07c4\u07c5\u0003\u0129\u008b\u0000\u07c5\u07c6\u0001"+ + "\u0000\u0000\u0000\u07c6\u07c7\u0006\u00f6%\u0000\u07c7\u0200\u0001\u0000"+ + "\u0000\u0000\u07c8\u07cd\u0003\u00bdU\u0000\u07c9\u07cd\u0003\u00bbT\u0000"+ + "\u07ca\u07cd\u0003\u00cb\\\u0000\u07cb\u07cd\u0003\u0119\u0083\u0000\u07cc"+ + "\u07c8\u0001\u0000\u0000\u0000\u07cc\u07c9\u0001\u0000\u0000\u0000\u07cc"+ + "\u07ca\u0001\u0000\u0000\u0000\u07cc\u07cb\u0001\u0000\u0000\u0000\u07cd"+ + "\u0202\u0001\u0000\u0000\u0000\u07ce\u07d1\u0003\u00bdU\u0000\u07cf\u07d1"+ + "\u0003\u0119\u0083\u0000\u07d0\u07ce\u0001\u0000\u0000\u0000\u07d0\u07cf"+ + "\u0001\u0000\u0000\u0000\u07d1\u07d5\u0001\u0000\u0000\u0000\u07d2\u07d4"+ + "\u0003\u0201\u00f7\u0000\u07d3\u07d2\u0001\u0000\u0000\u0000\u07d4\u07d7"+ + "\u0001\u0000\u0000\u0000\u07d5\u07d3\u0001\u0000\u0000\u0000\u07d5\u07d6"+ + "\u0001\u0000\u0000\u0000\u07d6\u07e2\u0001\u0000\u0000\u0000\u07d7\u07d5"+ + "\u0001\u0000\u0000\u0000\u07d8\u07db\u0003\u00cb\\\u0000\u07d9\u07db\u0003"+ + "\u00c5Y\u0000\u07da\u07d8\u0001\u0000\u0000\u0000\u07da\u07d9\u0001\u0000"+ + "\u0000\u0000\u07db\u07dd\u0001\u0000\u0000\u0000\u07dc\u07de\u0003\u0201"+ + "\u00f7\u0000\u07dd\u07dc\u0001\u0000\u0000\u0000\u07de\u07df\u0001\u0000"+ + "\u0000\u0000\u07df\u07dd\u0001\u0000\u0000\u0000\u07df\u07e0\u0001\u0000"+ + "\u0000\u0000\u07e0\u07e2\u0001\u0000\u0000\u0000\u07e1\u07d0\u0001\u0000"+ + "\u0000\u0000\u07e1\u07da\u0001\u0000\u0000\u0000\u07e2\u0204\u0001\u0000"+ + "\u0000\u0000\u07e3\u07e6\u0003\u0203\u00f8\u0000\u07e4\u07e6\u0003\u0135"+ + "\u0091\u0000\u07e5\u07e3\u0001\u0000\u0000\u0000\u07e5\u07e4\u0001\u0000"+ + "\u0000\u0000\u07e6\u07e7\u0001\u0000\u0000\u0000\u07e7\u07e5\u0001\u0000"+ + "\u0000\u0000\u07e7\u07e8\u0001\u0000\u0000\u0000\u07e8\u0206\u0001\u0000"+ + "\u0000\u0000\u07e9\u07ea\u0003\u0013\u0000\u0000\u07ea\u07eb\u0001\u0000"+ + "\u0000\u0000\u07eb\u07ec\u0006\u00fa\u0000\u0000\u07ec\u0208\u0001\u0000"+ + "\u0000\u0000\u07ed\u07ee\u0003\u0015\u0001\u0000\u07ee\u07ef\u0001\u0000"+ + "\u0000\u0000\u07ef\u07f0\u0006\u00fb\u0000\u0000\u07f0\u020a\u0001\u0000"+ + "\u0000\u0000\u07f1\u07f2\u0003\u0017\u0002\u0000\u07f2\u07f3\u0001\u0000"+ + "\u0000\u0000\u07f3\u07f4\u0006\u00fc\u0000\u0000\u07f4\u020c\u0001\u0000"+ + "\u0000\u0000\u07f5\u07f6\u0003\u0133\u0090\u0000\u07f6\u07f7\u0001\u0000"+ + "\u0000\u0000\u07f7\u07f8\u0006\u00fd\u001b\u0000\u07f8\u020e\u0001\u0000"+ + "\u0000\u0000\u07f9\u07fa\u0003\u0137\u0092\u0000\u07fa\u07fb\u0001\u0000"+ + "\u0000\u0000\u07fb\u07fc\u0006\u00fe\u001a\u0000\u07fc\u0210\u0001\u0000"+ + "\u0000\u0000\u07fd\u07fe\u0003\u00d9c\u0000\u07fe\u07ff\u0001\u0000\u0000"+ + "\u0000\u07ff\u0800\u0006\u00ff \u0000\u0800\u0212\u0001\u0000\u0000\u0000"+ + "\u0801\u0802\u0003\u0127\u008a\u0000\u0802\u0803\u0001\u0000\u0000\u0000"+ + "\u0803\u0804\u0006\u0100#\u0000\u0804\u0214\u0001\u0000\u0000\u0000\u0805"+ + "\u0806\u0003\u0151\u009f\u0000\u0806\u0807\u0001\u0000\u0000\u0000\u0807"+ + "\u0808\u0006\u0101+\u0000\u0808\u0216\u0001\u0000\u0000\u0000\u0809\u080a"+ + "\u0003\u00cf^\u0000\u080a\u080b\u0001\u0000\u0000\u0000\u080b\u080c\u0006"+ + "\u0102\u001f\u0000\u080c\u0218\u0001\u0000\u0000\u0000\u080d\u080e\u0003"+ + "\u00dff\u0000\u080e\u080f\u0001\u0000\u0000\u0000\u080f\u0810\u0006\u0103"+ + ")\u0000\u0810\u021a\u0001\u0000\u0000\u0000\u0811\u0812\u0003\u00dde\u0000"+ + "\u0812\u0813\u0001\u0000\u0000\u0000\u0813\u0814\u0006\u0104*\u0000\u0814"+ + "\u021c\u0001\u0000\u0000\u0000\u0815\u0816\u0003\u00e3h\u0000\u0816\u0817"+ + "\u0001\u0000\u0000\u0000\u0817\u0818\u0006\u0105\u0017\u0000\u0818\u021e"+ + "\u0001\u0000\u0000\u0000\u0819\u081a\u0003\u00b9S\u0000\u081a\u081b\u0001"+ + "\u0000\u0000\u0000\u081b\u081c\u0006\u0106\u0011\u0000\u081c\u081d\u0006"+ + "\u0106\u0012\u0000\u081d\u0220\u0001\u0000\u0000\u0000\u081e\u081f\u0003"+ + "\u012f\u008e\u0000\u081f\u0820\u0006\u0107.\u0000\u0820\u0821\u0001\u0000"+ + "\u0000\u0000\u0821\u0822\u0006\u0107&\u0000\u0822\u0222\u0001\u0000\u0000"+ + "\u0000\u0823\u0824\u0005)\u0000\u0000\u0824\u0825\u0004\u0108\u0006\u0000"+ + "\u0825\u0826\u0006\u0108/\u0000\u0826\u0827\u0001\u0000\u0000\u0000\u0827"+ + "\u0828\u0006\u0108\u0013\u0000\u0828\u0224\u0001\u0000\u0000\u0000\u0829"+ + "\u082a\u0005)\u0000\u0000\u082a\u082b\u0004\u0109\u0007\u0000\u082b\u082c"+ + "\u0006\u01090\u0000\u082c\u082d\u0001\u0000\u0000\u0000\u082d\u082e\u0006"+ + "\u0109\u0013\u0000\u082e\u082f\u0006\u0109\u0012\u0000\u082f\u0226\u0001"+ + "\u0000\u0000\u0000\u0830\u0831\u0003\u0013\u0000\u0000\u0831\u0832\u0001"+ + "\u0000\u0000\u0000\u0832\u0833\u0006\u010a\u0000\u0000\u0833\u0228\u0001"+ + "\u0000\u0000\u0000\u0834\u0835\u0003\u0015\u0001\u0000\u0835\u0836\u0001"+ + "\u0000\u0000\u0000\u0836\u0837\u0006\u010b\u0000\u0000\u0837\u022a\u0001"+ + "\u0000\u0000\u0000\u0838\u0839\u0003\u0017\u0002\u0000\u0839\u083a\u0001"+ + "\u0000\u0000\u0000\u083a\u083b\u0006\u010c\u0000\u0000\u083b\u022c\u0001"+ + "\u0000\u0000\u0000\u083c\u0840\u0005#\u0000\u0000\u083d\u083f\b\u0000"+ + "\u0000\u0000\u083e\u083d\u0001\u0000\u0000\u0000\u083f\u0842\u0001\u0000"+ + "\u0000\u0000\u0840\u083e\u0001\u0000\u0000\u0000\u0840\u0841\u0001\u0000"+ + "\u0000\u0000\u0841\u0844\u0001\u0000\u0000\u0000\u0842\u0840\u0001\u0000"+ + "\u0000\u0000\u0843\u0845\u0005\r\u0000\u0000\u0844\u0843\u0001\u0000\u0000"+ + "\u0000\u0844\u0845\u0001\u0000\u0000\u0000\u0845\u0847\u0001\u0000\u0000"+ + "\u0000\u0846\u0848\u0005\n\u0000\u0000\u0847\u0846\u0001\u0000\u0000\u0000"+ + "\u0847\u0848\u0001\u0000\u0000\u0000\u0848\u022e\u0001\u0000\u0000\u0000"+ + "\u0849\u084f\u0005\'\u0000\u0000\u084a\u084b\u0005\\\u0000\u0000\u084b"+ + "\u084e\t\u0000\u0000\u0000\u084c\u084e\b%\u0000\u0000\u084d\u084a\u0001"+ + "\u0000\u0000\u0000\u084d\u084c\u0001\u0000\u0000\u0000\u084e\u0851\u0001"+ + "\u0000\u0000\u0000\u084f\u084d\u0001\u0000\u0000\u0000\u084f\u0850\u0001"+ + "\u0000\u0000\u0000\u0850\u0852\u0001\u0000\u0000\u0000\u0851\u084f\u0001"+ + "\u0000\u0000\u0000\u0852\u0853\u0005\'\u0000\u0000\u0853\u0230\u0001\u0000"+ + "\u0000\u0000\u0854\u0855\b&\u0000\u0000\u0855\u0232\u0001\u0000\u0000"+ + "\u0000\u0856\u0857\u0003\u00b9S\u0000\u0857\u0858\u0001\u0000\u0000\u0000"+ + "\u0858\u0859\u0006\u0110\u0011\u0000\u0859\u085a\u0006\u0110\u0012\u0000"+ + "\u085a\u0234\u0001\u0000\u0000\u0000\u085b\u085c\u0003\u0131\u008f\u0000"+ + "\u085c\u085d\u0001\u0000\u0000\u0000\u085d\u085e\u0006\u0111\u0013\u0000"+ + "\u085e\u085f\u0006\u0111\u0012\u0000\u085f\u0860\u0006\u0111\u0012\u0000"+ + "\u0860\u0236\u0001\u0000\u0000\u0000\u0861\u0862\u0003\u012b\u008c\u0000"+ + "\u0862\u0863\u0001\u0000\u0000\u0000\u0863\u0864\u0006\u0112\u0018\u0000"+ + "\u0864\u0238\u0001\u0000\u0000\u0000\u0865\u0866\u0003\u012d\u008d\u0000"+ + "\u0866\u0867\u0001\u0000\u0000\u0000\u0867\u0868\u0006\u0113\u0019\u0000"+ + "\u0868\u023a\u0001\u0000\u0000\u0000\u0869\u086a\u0003\u00d9c\u0000\u086a"+ + "\u086b\u0001\u0000\u0000\u0000\u086b\u086c\u0006\u0114 \u0000\u086c\u023c"+ + "\u0001\u0000\u0000\u0000\u086d\u086e\u0003\u00e3h\u0000\u086e\u086f\u0001"+ + "\u0000\u0000\u0000\u086f\u0870\u0006\u0115\u0017\u0000\u0870\u023e\u0001"+ + "\u0000\u0000\u0000\u0871\u0872\u0003\u00e7j\u0000\u0872\u0873\u0001\u0000"+ + "\u0000\u0000\u0873\u0874\u0006\u0116\u0016\u0000\u0874\u0240\u0001\u0000"+ + "\u0000\u0000\u0875\u0876\u0003\u00ffv\u0000\u0876\u0877\u0001\u0000\u0000"+ + "\u0000\u0877\u0878\u0006\u0117\"\u0000\u0878\u0242\u0001\u0000\u0000\u0000"+ + "\u0879\u087a\u0003\u0127\u008a\u0000\u087a\u087b\u0001\u0000\u0000\u0000"+ + "\u087b\u087c\u0006\u0118#\u0000\u087c\u0244\u0001\u0000\u0000\u0000\u087d"+ + "\u087e\u0003\u0123\u0088\u0000\u087e\u087f\u0001\u0000\u0000\u0000\u087f"+ + "\u0880\u0006\u0119$\u0000\u0880\u0246\u0001\u0000\u0000\u0000\u0881\u0882"+ + "\u0003\u0129\u008b\u0000\u0882\u0883\u0001\u0000\u0000\u0000\u0883\u0884"+ + "\u0006\u011a%\u0000\u0884\u0248\u0001\u0000\u0000\u0000\u0885\u0886\u0007"+ + "\u0004\u0000\u0000\u0886\u0887\u0007\u0011\u0000\u0000\u0887\u024a\u0001"+ + "\u0000\u0000\u0000\u0888\u0889\u0003\u0205\u00f9\u0000\u0889\u088a\u0001"+ + "\u0000\u0000\u0000\u088a\u088b\u0006\u011c!\u0000\u088b\u024c\u0001\u0000"+ + "\u0000\u0000\u088c\u088d\u0003\u0013\u0000\u0000\u088d\u088e\u0001\u0000"+ + "\u0000\u0000\u088e\u088f\u0006\u011d\u0000\u0000\u088f\u024e\u0001\u0000"+ + "\u0000\u0000\u0890\u0891\u0003\u0015\u0001\u0000\u0891\u0892\u0001\u0000"+ + "\u0000\u0000\u0892\u0893\u0006\u011e\u0000\u0000\u0893\u0250\u0001\u0000"+ + "\u0000\u0000\u0894\u0895\u0003\u0017\u0002\u0000\u0895\u0896\u0001\u0000"+ + "\u0000\u0000\u0896\u0897\u0006\u011f\u0000\u0000\u0897\u0252\u0001\u0000"+ + "\u0000\u0000\u0898\u0899\u0003\u0103x\u0000\u0899\u089a\u0001\u0000\u0000"+ + "\u0000\u089a\u089b\u0006\u01201\u0000\u089b\u0254\u0001\u0000\u0000\u0000"+ + "\u089c\u089d\u0003\u00e9k\u0000\u089d\u089e\u0001\u0000\u0000\u0000\u089e"+ + "\u089f\u0006\u01212\u0000\u089f\u0256\u0001\u0000\u0000\u0000\u08a0\u08a1"+ + "\u0003\u00f7r\u0000\u08a1\u08a2\u0001\u0000\u0000\u0000\u08a2\u08a3\u0006"+ + "\u01223\u0000\u08a3\u0258\u0001\u0000\u0000\u0000\u08a4\u08a5\u0003\u00e1"+ + "g\u0000\u08a5\u08a6\u0001\u0000\u0000\u0000\u08a6\u08a7\u0006\u01234\u0000"+ + "\u08a7\u08a8\u0006\u0123\u0012\u0000\u08a8\u025a\u0001\u0000\u0000\u0000"+ + "\u08a9\u08aa\u0003\u00d9c\u0000\u08aa\u08ab\u0001\u0000\u0000\u0000\u08ab"+ + "\u08ac\u0006\u0124 \u0000\u08ac\u025c\u0001\u0000\u0000\u0000\u08ad\u08ae"+ + "\u0003\u00cf^\u0000\u08ae\u08af\u0001\u0000\u0000\u0000\u08af\u08b0\u0006"+ + "\u0125\u001f\u0000\u08b0\u025e\u0001\u0000\u0000\u0000\u08b1\u08b2\u0003"+ + "\u0133\u0090\u0000\u08b2\u08b3\u0001\u0000\u0000\u0000\u08b3\u08b4\u0006"+ + "\u0126\u001b\u0000\u08b4\u0260\u0001\u0000\u0000\u0000\u08b5\u08b6\u0003"+ + "\u0137\u0092\u0000\u08b6\u08b7\u0001\u0000\u0000\u0000\u08b7\u08b8\u0006"+ + "\u0127\u001a\u0000\u08b8\u0262\u0001\u0000\u0000\u0000\u08b9\u08ba\u0003"+ + "\u00d3`\u0000\u08ba\u08bb\u0001\u0000\u0000\u0000\u08bb\u08bc\u0006\u0128"+ + "5\u0000\u08bc\u0264\u0001\u0000\u0000\u0000\u08bd\u08be\u0003\u00d1_\u0000"+ + "\u08be\u08bf\u0001\u0000\u0000\u0000\u08bf\u08c0\u0006\u01296\u0000\u08c0"+ + "\u0266\u0001\u0000\u0000\u0000\u08c1\u08c2\u0003\u00dff\u0000\u08c2\u08c3"+ + "\u0001\u0000\u0000\u0000\u08c3\u08c4\u0006\u012a)\u0000\u08c4\u0268\u0001"+ + "\u0000\u0000\u0000\u08c5\u08c6\u0003\u00e3h\u0000\u08c6\u08c7\u0001\u0000"+ + "\u0000\u0000\u08c7\u08c8\u0006\u012b\u0017\u0000\u08c8\u026a\u0001\u0000"+ + "\u0000\u0000\u08c9\u08ca\u0003\u00e7j\u0000\u08ca\u08cb\u0001\u0000\u0000"+ + "\u0000\u08cb\u08cc\u0006\u012c\u0016\u0000\u08cc\u026c\u0001\u0000\u0000"+ + "\u0000\u08cd\u08ce\u0003\u00ffv\u0000\u08ce\u08cf\u0001\u0000\u0000\u0000"+ + "\u08cf\u08d0\u0006\u012d\"\u0000\u08d0\u026e\u0001\u0000\u0000\u0000\u08d1"+ + "\u08d2\u0003\u0127\u008a\u0000\u08d2\u08d3\u0001\u0000\u0000\u0000\u08d3"+ + "\u08d4\u0006\u012e#\u0000\u08d4\u0270\u0001\u0000\u0000\u0000\u08d5\u08d6"+ + "\u0003\u011f\u0086\u0000\u08d6\u08d7\u0001\u0000\u0000\u0000\u08d7\u08d8"+ + "\u0006\u012f7\u0000\u08d8\u0272\u0001\u0000\u0000\u0000\u08d9\u08da\u0003"+ + "\u0121\u0087\u0000\u08da\u08db\u0001\u0000\u0000\u0000\u08db\u08dc\u0006"+ + "\u01308\u0000\u08dc\u0274\u0001\u0000\u0000\u0000\u08dd\u08de\u0003\u0123"+ + "\u0088\u0000\u08de\u08df\u0001\u0000\u0000\u0000\u08df\u08e0\u0006\u0131"+ + "$\u0000\u08e0\u0276\u0001\u0000\u0000\u0000\u08e1\u08e2\u0003\u0129\u008b"+ + "\u0000\u08e2\u08e3\u0001\u0000\u0000\u0000\u08e3\u08e4\u0006\u0132%\u0000"+ + "\u08e4\u0278\u0001\u0000\u0000\u0000\u08e5\u08e6\u0003\u012b\u008c\u0000"+ + "\u08e6\u08e7\u0001\u0000\u0000\u0000\u08e7\u08e8\u0006\u0133\u0018\u0000"+ + "\u08e8\u027a\u0001\u0000\u0000\u0000\u08e9\u08ea\u0003\u012d\u008d\u0000"+ + "\u08ea\u08eb\u0001\u0000\u0000\u0000\u08eb\u08ec\u0006\u0134\u0019\u0000"+ + "\u08ec\u027c\u0001\u0000\u0000\u0000\u08ed\u08ee\u0003\u0205\u00f9\u0000"+ + "\u08ee\u08ef\u0001\u0000\u0000\u0000\u08ef\u08f0\u0006\u0135!\u0000\u08f0"+ + "\u027e\u0001\u0000\u0000\u0000\u08f1\u08f2\u0003\u0013\u0000\u0000\u08f2"+ + "\u08f3\u0001\u0000\u0000\u0000\u08f3\u08f4\u0006\u0136\u0000\u0000\u08f4"+ + "\u0280\u0001\u0000\u0000\u0000\u08f5\u08f6\u0003\u0015\u0001\u0000\u08f6"+ + "\u08f7\u0001\u0000\u0000\u0000\u08f7\u08f8\u0006\u0137\u0000\u0000\u08f8"+ + "\u0282\u0001\u0000\u0000\u0000\u08f9\u08fa\u0003\u0017\u0002\u0000\u08fa"+ + "\u08fb\u0001\u0000\u0000\u0000\u08fb\u08fc\u0006\u0138\u0000\u0000\u08fc"+ + "\u0284\u0001\u0000\u0000\u0000\u08fd\u08fe\u0003\u00b9S\u0000\u08fe\u08ff"+ + "\u0001\u0000\u0000\u0000\u08ff\u0900\u0006\u0139\u0011\u0000\u0900\u0901"+ + "\u0006\u0139\u0012\u0000\u0901\u0286\u0001\u0000\u0000\u0000\u0902\u0903"+ + "\u0007\n\u0000\u0000\u0903\u0904\u0007\u0005\u0000\u0000\u0904\u0905\u0007"+ + "\u0015\u0000\u0000\u0905\u0906\u0007\t\u0000\u0000\u0906\u0288\u0001\u0000"+ + "\u0000\u0000\u0907\u0908\u0003\u0013\u0000\u0000\u0908\u0909\u0001\u0000"+ + "\u0000\u0000\u0909\u090a\u0006\u013b\u0000\u0000\u090a\u028a\u0001\u0000"+ + "\u0000\u0000\u090b\u090c\u0003\u0015\u0001\u0000\u090c\u090d\u0001\u0000"+ + "\u0000\u0000\u090d\u090e\u0006\u013c\u0000\u0000\u090e\u028c\u0001\u0000"+ + "\u0000\u0000\u090f\u0910\u0003\u0017\u0002\u0000\u0910\u0911\u0001\u0000"+ + "\u0000\u0000\u0911\u0912\u0006\u013d\u0000\u0000\u0912\u028e\u0001\u0000"+ + "\u0000\u0000L\u0000\u0001\u0002\u0003\u0004\u0005\u0006\u0007\b\t\n\u000b"+ + "\f\r\u000e\u000f\u0010\u0011\u0012\u0295\u0299\u029c\u02a5\u02a7\u02b2"+ + "\u03dc\u0431\u0435\u043a\u04be\u04c3\u04cc\u04d3\u04d8\u04da\u04e5\u04ed"+ + "\u04f0\u04f2\u04f7\u04fc\u0502\u0509\u050e\u0514\u0517\u051f\u0523\u05b0"+ + "\u05b5\u05bc\u05be\u05c3\u05c8\u05cf\u05d1\u05eb\u05f0\u05f5\u05f7\u05fd"+ + "\u063b\u0640\u07cc\u07d0\u07d5\u07da\u07df\u07e1\u07e5\u07e7\u0840\u0844"+ + "\u0847\u084d\u084f9\u0000\u0001\u0000\u0005\u0001\u0000\u0005\u0002\u0000"+ + "\u0005\u0004\u0000\u0005\u0005\u0000\u0005\u0006\u0000\u0005\u0007\u0000"+ + "\u0005\b\u0000\u0005\t\u0000\u0005\n\u0000\u0005\u000b\u0000\u0005\r\u0000"+ + "\u0005\u000e\u0000\u0005\u000f\u0000\u0005\u0010\u0000\u0005\u0011\u0000"+ + "\u0005\u0012\u0000\u00073\u0000\u0004\u0000\u0000\u0007d\u0000\u0007J"+ + "\u0000\u0007\u0094\u0000\u0007@\u0000\u0007>\u0000\u0007a\u0000\u0007"+ + "b\u0000\u0007f\u0000\u0007e\u0000\u0005\u0003\u0000\u0007O\u0000\u0007"+ + ")\u0000\u00074\u0000\u00079\u0000\u0007\u008a\u0000\u0007L\u0000\u0007"+ + "_\u0000\u0007^\u0000\u0007`\u0000\u0007c\u0000\u0005\u0000\u0000\u0007"+ + "\u0011\u0000\u0007<\u0000\u0007;\u0000\u0007k\u0000\u0007:\u0000\u0005"+ + "\f\u0000\u0001\u0107\u0000\u0001\u0108\u0001\u0001\u0109\u0002\u0007N"+ + "\u0000\u0007A\u0000\u0007H\u0000\u0007=\u0000\u00076\u0000\u00075\u0000"+ + "\u0007\\\u0000\u0007]\u0000"; public static final ATN _ATN = new ATNDeserializer().deserialize(_serializedATN.toCharArray()); static { diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseParser.interp b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseParser.interp index f723639c4fc4b..8387ddd498afb 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseParser.interp +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseParser.interp @@ -32,7 +32,7 @@ null 'drop' 'keep' null -null +'promql' 'rename' 'set' 'show' @@ -193,7 +193,7 @@ MV_EXPAND DROP KEEP DEV_INSIST -DEV_PROMQL +PROMQL RENAME SET SHOW @@ -431,4 +431,4 @@ promqlIndexString atn: -[4, 1, 158, 1075, 2, 0, 7, 0, 2, 1, 7, 1, 2, 2, 7, 2, 2, 3, 7, 3, 2, 4, 7, 4, 2, 5, 7, 5, 2, 6, 7, 6, 2, 7, 7, 7, 2, 8, 7, 8, 2, 9, 7, 9, 2, 10, 7, 10, 2, 11, 7, 11, 2, 12, 7, 12, 2, 13, 7, 13, 2, 14, 7, 14, 2, 15, 7, 15, 2, 16, 7, 16, 2, 17, 7, 17, 2, 18, 7, 18, 2, 19, 7, 19, 2, 20, 7, 20, 2, 21, 7, 21, 2, 22, 7, 22, 2, 23, 7, 23, 2, 24, 7, 24, 2, 25, 7, 25, 2, 26, 7, 26, 2, 27, 7, 27, 2, 28, 7, 28, 2, 29, 7, 29, 2, 30, 7, 30, 2, 31, 7, 31, 2, 32, 7, 32, 2, 33, 7, 33, 2, 34, 7, 34, 2, 35, 7, 35, 2, 36, 7, 36, 2, 37, 7, 37, 2, 38, 7, 38, 2, 39, 7, 39, 2, 40, 7, 40, 2, 41, 7, 41, 2, 42, 7, 42, 2, 43, 7, 43, 2, 44, 7, 44, 2, 45, 7, 45, 2, 46, 7, 46, 2, 47, 7, 47, 2, 48, 7, 48, 2, 49, 7, 49, 2, 50, 7, 50, 2, 51, 7, 51, 2, 52, 7, 52, 2, 53, 7, 53, 2, 54, 7, 54, 2, 55, 7, 55, 2, 56, 7, 56, 2, 57, 7, 57, 2, 58, 7, 58, 2, 59, 7, 59, 2, 60, 7, 60, 2, 61, 7, 61, 2, 62, 7, 62, 2, 63, 7, 63, 2, 64, 7, 64, 2, 65, 7, 65, 2, 66, 7, 66, 2, 67, 7, 67, 2, 68, 7, 68, 2, 69, 7, 69, 2, 70, 7, 70, 2, 71, 7, 71, 2, 72, 7, 72, 2, 73, 7, 73, 2, 74, 7, 74, 2, 75, 7, 75, 2, 76, 7, 76, 2, 77, 7, 77, 2, 78, 7, 78, 2, 79, 7, 79, 2, 80, 7, 80, 2, 81, 7, 81, 2, 82, 7, 82, 2, 83, 7, 83, 2, 84, 7, 84, 2, 85, 7, 85, 2, 86, 7, 86, 2, 87, 7, 87, 2, 88, 7, 88, 2, 89, 7, 89, 2, 90, 7, 90, 2, 91, 7, 91, 2, 92, 7, 92, 2, 93, 7, 93, 2, 94, 7, 94, 2, 95, 7, 95, 2, 96, 7, 96, 2, 97, 7, 97, 2, 98, 7, 98, 2, 99, 7, 99, 2, 100, 7, 100, 2, 101, 7, 101, 2, 102, 7, 102, 2, 103, 7, 103, 2, 104, 7, 104, 2, 105, 7, 105, 2, 106, 7, 106, 1, 0, 5, 0, 216, 8, 0, 10, 0, 12, 0, 219, 9, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 5, 2, 233, 8, 2, 10, 2, 12, 2, 236, 9, 2, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 3, 3, 246, 8, 3, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 3, 4, 272, 8, 4, 1, 5, 1, 5, 1, 5, 1, 6, 1, 6, 1, 7, 1, 7, 1, 7, 1, 8, 1, 8, 1, 8, 5, 8, 285, 8, 8, 10, 8, 12, 8, 288, 9, 8, 1, 9, 1, 9, 1, 9, 3, 9, 293, 8, 9, 1, 9, 1, 9, 1, 10, 1, 10, 1, 10, 5, 10, 300, 8, 10, 10, 10, 12, 10, 303, 9, 10, 1, 11, 1, 11, 1, 11, 3, 11, 308, 8, 11, 1, 12, 1, 12, 1, 12, 1, 13, 1, 13, 1, 13, 1, 14, 1, 14, 1, 14, 5, 14, 319, 8, 14, 10, 14, 12, 14, 322, 9, 14, 1, 14, 3, 14, 325, 8, 14, 1, 15, 1, 15, 1, 15, 3, 15, 330, 8, 15, 1, 16, 1, 16, 1, 16, 1, 16, 5, 16, 336, 8, 16, 10, 16, 12, 16, 339, 9, 16, 1, 16, 1, 16, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 3, 17, 352, 8, 17, 1, 18, 1, 18, 1, 19, 1, 19, 1, 20, 1, 20, 1, 21, 1, 21, 1, 22, 1, 22, 1, 22, 1, 22, 5, 22, 366, 8, 22, 10, 22, 12, 22, 369, 9, 22, 1, 23, 1, 23, 1, 23, 1, 24, 1, 24, 3, 24, 376, 8, 24, 1, 24, 1, 24, 3, 24, 380, 8, 24, 1, 25, 1, 25, 1, 25, 5, 25, 385, 8, 25, 10, 25, 12, 25, 388, 9, 25, 1, 26, 1, 26, 1, 26, 3, 26, 393, 8, 26, 1, 27, 1, 27, 1, 27, 3, 27, 398, 8, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 3, 27, 407, 8, 27, 1, 28, 1, 28, 1, 28, 5, 28, 412, 8, 28, 10, 28, 12, 28, 415, 9, 28, 1, 29, 1, 29, 1, 29, 3, 29, 420, 8, 29, 1, 29, 1, 29, 1, 29, 1, 29, 1, 29, 1, 29, 1, 29, 3, 29, 429, 8, 29, 1, 30, 1, 30, 1, 30, 5, 30, 434, 8, 30, 10, 30, 12, 30, 437, 9, 30, 1, 31, 1, 31, 1, 31, 5, 31, 442, 8, 31, 10, 31, 12, 31, 445, 9, 31, 1, 32, 1, 32, 1, 33, 1, 33, 1, 33, 3, 33, 452, 8, 33, 1, 34, 1, 34, 3, 34, 456, 8, 34, 1, 35, 1, 35, 3, 35, 460, 8, 35, 1, 36, 1, 36, 1, 36, 3, 36, 465, 8, 36, 1, 37, 1, 37, 3, 37, 469, 8, 37, 1, 38, 1, 38, 1, 38, 1, 39, 1, 39, 1, 39, 1, 39, 5, 39, 478, 8, 39, 10, 39, 12, 39, 481, 9, 39, 1, 40, 1, 40, 3, 40, 485, 8, 40, 1, 40, 1, 40, 3, 40, 489, 8, 40, 1, 41, 1, 41, 1, 41, 1, 42, 1, 42, 1, 42, 1, 43, 1, 43, 1, 43, 1, 43, 5, 43, 501, 8, 43, 10, 43, 12, 43, 504, 9, 43, 1, 44, 1, 44, 1, 44, 1, 44, 1, 44, 1, 44, 1, 44, 1, 44, 3, 44, 514, 8, 44, 1, 45, 1, 45, 1, 45, 1, 45, 3, 45, 520, 8, 45, 1, 46, 1, 46, 1, 46, 5, 46, 525, 8, 46, 10, 46, 12, 46, 528, 9, 46, 1, 47, 1, 47, 1, 47, 1, 47, 1, 48, 1, 48, 3, 48, 536, 8, 48, 1, 49, 1, 49, 1, 49, 1, 49, 1, 49, 5, 49, 543, 8, 49, 10, 49, 12, 49, 546, 9, 49, 1, 50, 1, 50, 1, 50, 1, 51, 1, 51, 1, 51, 1, 52, 1, 52, 1, 52, 1, 52, 1, 53, 1, 53, 1, 53, 1, 54, 1, 54, 1, 54, 1, 54, 3, 54, 565, 8, 54, 1, 54, 1, 54, 1, 54, 1, 54, 5, 54, 571, 8, 54, 10, 54, 12, 54, 574, 9, 54, 3, 54, 576, 8, 54, 1, 55, 1, 55, 1, 56, 1, 56, 1, 56, 3, 56, 583, 8, 56, 1, 56, 1, 56, 1, 57, 1, 57, 1, 57, 1, 58, 1, 58, 1, 58, 1, 58, 3, 58, 594, 8, 58, 1, 58, 1, 58, 1, 58, 1, 58, 1, 58, 3, 58, 601, 8, 58, 1, 59, 1, 59, 1, 59, 1, 60, 4, 60, 607, 8, 60, 11, 60, 12, 60, 608, 1, 61, 1, 61, 1, 61, 1, 61, 1, 62, 1, 62, 1, 62, 1, 62, 1, 62, 1, 62, 5, 62, 621, 8, 62, 10, 62, 12, 62, 624, 9, 62, 1, 63, 1, 63, 1, 64, 1, 64, 1, 64, 1, 64, 3, 64, 632, 8, 64, 1, 64, 1, 64, 1, 64, 1, 64, 1, 64, 1, 65, 1, 65, 1, 65, 1, 65, 3, 65, 643, 8, 65, 1, 65, 1, 65, 1, 65, 1, 66, 1, 66, 1, 66, 1, 66, 1, 66, 3, 66, 653, 8, 66, 1, 66, 1, 66, 1, 66, 1, 66, 3, 66, 659, 8, 66, 3, 66, 661, 8, 66, 1, 67, 1, 67, 3, 67, 665, 8, 67, 1, 67, 5, 67, 668, 8, 67, 10, 67, 12, 67, 671, 9, 67, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 3, 68, 684, 8, 68, 1, 69, 1, 69, 1, 69, 5, 69, 689, 8, 69, 10, 69, 12, 69, 692, 9, 69, 1, 70, 1, 70, 1, 70, 1, 70, 1, 70, 1, 71, 1, 71, 1, 71, 1, 72, 1, 72, 1, 72, 1, 72, 1, 73, 1, 73, 1, 73, 1, 73, 3, 73, 710, 8, 73, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 3, 74, 719, 8, 74, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 5, 74, 726, 8, 74, 10, 74, 12, 74, 729, 9, 74, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 3, 74, 736, 8, 74, 1, 74, 1, 74, 1, 74, 3, 74, 741, 8, 74, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 5, 74, 749, 8, 74, 10, 74, 12, 74, 752, 9, 74, 1, 75, 1, 75, 3, 75, 756, 8, 75, 1, 75, 1, 75, 1, 75, 1, 75, 1, 75, 3, 75, 763, 8, 75, 1, 75, 1, 75, 1, 75, 1, 75, 1, 75, 3, 75, 770, 8, 75, 1, 75, 1, 75, 1, 75, 1, 75, 1, 75, 5, 75, 777, 8, 75, 10, 75, 12, 75, 780, 9, 75, 1, 75, 1, 75, 1, 75, 1, 75, 3, 75, 786, 8, 75, 1, 75, 1, 75, 1, 75, 1, 75, 1, 75, 5, 75, 793, 8, 75, 10, 75, 12, 75, 796, 9, 75, 1, 75, 1, 75, 3, 75, 800, 8, 75, 1, 76, 1, 76, 1, 76, 3, 76, 805, 8, 76, 1, 76, 1, 76, 1, 76, 1, 77, 1, 77, 1, 77, 1, 77, 1, 77, 3, 77, 815, 8, 77, 1, 78, 1, 78, 1, 78, 1, 78, 3, 78, 821, 8, 78, 1, 78, 1, 78, 1, 78, 1, 78, 1, 78, 1, 78, 5, 78, 829, 8, 78, 10, 78, 12, 78, 832, 9, 78, 1, 79, 1, 79, 1, 79, 1, 79, 1, 79, 1, 79, 1, 79, 1, 79, 3, 79, 842, 8, 79, 1, 79, 1, 79, 1, 79, 5, 79, 847, 8, 79, 10, 79, 12, 79, 850, 9, 79, 1, 80, 1, 80, 1, 80, 1, 80, 1, 80, 1, 80, 5, 80, 858, 8, 80, 10, 80, 12, 80, 861, 9, 80, 1, 80, 1, 80, 3, 80, 865, 8, 80, 3, 80, 867, 8, 80, 1, 80, 1, 80, 1, 81, 1, 81, 1, 81, 3, 81, 874, 8, 81, 1, 82, 1, 82, 1, 82, 1, 82, 5, 82, 880, 8, 82, 10, 82, 12, 82, 883, 9, 82, 3, 82, 885, 8, 82, 1, 82, 1, 82, 1, 83, 1, 83, 1, 83, 1, 83, 1, 84, 1, 84, 3, 84, 895, 8, 84, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 5, 85, 910, 8, 85, 10, 85, 12, 85, 913, 9, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 5, 85, 921, 8, 85, 10, 85, 12, 85, 924, 9, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 5, 85, 932, 8, 85, 10, 85, 12, 85, 935, 9, 85, 1, 85, 1, 85, 3, 85, 939, 8, 85, 1, 86, 1, 86, 1, 87, 1, 87, 3, 87, 945, 8, 87, 1, 88, 3, 88, 948, 8, 88, 1, 88, 1, 88, 1, 89, 3, 89, 953, 8, 89, 1, 89, 1, 89, 1, 90, 1, 90, 1, 91, 1, 91, 1, 92, 1, 92, 1, 92, 1, 92, 1, 92, 1, 93, 1, 93, 1, 93, 3, 93, 969, 8, 93, 1, 93, 1, 93, 1, 93, 3, 93, 974, 8, 93, 1, 94, 1, 94, 1, 94, 1, 94, 5, 94, 980, 8, 94, 10, 94, 12, 94, 983, 9, 94, 1, 95, 1, 95, 5, 95, 987, 8, 95, 10, 95, 12, 95, 990, 9, 95, 1, 95, 1, 95, 1, 95, 3, 95, 995, 8, 95, 1, 95, 1, 95, 4, 95, 999, 8, 95, 11, 95, 12, 95, 1000, 1, 95, 1, 95, 1, 95, 1, 95, 5, 95, 1007, 8, 95, 10, 95, 12, 95, 1010, 9, 95, 1, 95, 4, 95, 1013, 8, 95, 11, 95, 12, 95, 1014, 3, 95, 1017, 8, 95, 1, 96, 1, 96, 1, 97, 1, 97, 1, 97, 1, 97, 1, 98, 1, 98, 1, 99, 1, 99, 1, 99, 5, 99, 1030, 8, 99, 10, 99, 12, 99, 1033, 9, 99, 1, 99, 1, 99, 3, 99, 1037, 8, 99, 1, 100, 1, 100, 1, 101, 4, 101, 1042, 8, 101, 11, 101, 12, 101, 1043, 1, 101, 1, 101, 5, 101, 1048, 8, 101, 10, 101, 12, 101, 1051, 9, 101, 1, 101, 3, 101, 1054, 8, 101, 1, 102, 1, 102, 1, 102, 1, 102, 1, 102, 1, 102, 1, 102, 1, 102, 1, 102, 3, 102, 1065, 8, 102, 1, 103, 1, 103, 1, 104, 1, 104, 1, 105, 1, 105, 1, 106, 1, 106, 1, 106, 0, 5, 4, 124, 148, 156, 158, 107, 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140, 142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 194, 196, 198, 200, 202, 204, 206, 208, 210, 212, 0, 14, 2, 0, 52, 52, 107, 107, 1, 0, 101, 102, 2, 0, 56, 56, 63, 63, 2, 0, 66, 66, 69, 69, 2, 0, 41, 41, 52, 52, 1, 0, 87, 88, 1, 0, 89, 91, 2, 0, 65, 65, 78, 78, 2, 0, 80, 80, 82, 86, 2, 0, 24, 24, 26, 27, 3, 0, 52, 52, 95, 95, 101, 102, 8, 0, 52, 52, 57, 57, 59, 60, 62, 62, 95, 95, 101, 102, 107, 107, 145, 147, 2, 0, 101, 101, 107, 107, 3, 0, 52, 52, 101, 101, 107, 107, 1122, 0, 217, 1, 0, 0, 0, 2, 223, 1, 0, 0, 0, 4, 226, 1, 0, 0, 0, 6, 245, 1, 0, 0, 0, 8, 271, 1, 0, 0, 0, 10, 273, 1, 0, 0, 0, 12, 276, 1, 0, 0, 0, 14, 278, 1, 0, 0, 0, 16, 281, 1, 0, 0, 0, 18, 292, 1, 0, 0, 0, 20, 296, 1, 0, 0, 0, 22, 304, 1, 0, 0, 0, 24, 309, 1, 0, 0, 0, 26, 312, 1, 0, 0, 0, 28, 315, 1, 0, 0, 0, 30, 329, 1, 0, 0, 0, 32, 331, 1, 0, 0, 0, 34, 351, 1, 0, 0, 0, 36, 353, 1, 0, 0, 0, 38, 355, 1, 0, 0, 0, 40, 357, 1, 0, 0, 0, 42, 359, 1, 0, 0, 0, 44, 361, 1, 0, 0, 0, 46, 370, 1, 0, 0, 0, 48, 373, 1, 0, 0, 0, 50, 381, 1, 0, 0, 0, 52, 389, 1, 0, 0, 0, 54, 406, 1, 0, 0, 0, 56, 408, 1, 0, 0, 0, 58, 428, 1, 0, 0, 0, 60, 430, 1, 0, 0, 0, 62, 438, 1, 0, 0, 0, 64, 446, 1, 0, 0, 0, 66, 451, 1, 0, 0, 0, 68, 455, 1, 0, 0, 0, 70, 459, 1, 0, 0, 0, 72, 464, 1, 0, 0, 0, 74, 468, 1, 0, 0, 0, 76, 470, 1, 0, 0, 0, 78, 473, 1, 0, 0, 0, 80, 482, 1, 0, 0, 0, 82, 490, 1, 0, 0, 0, 84, 493, 1, 0, 0, 0, 86, 496, 1, 0, 0, 0, 88, 513, 1, 0, 0, 0, 90, 515, 1, 0, 0, 0, 92, 521, 1, 0, 0, 0, 94, 529, 1, 0, 0, 0, 96, 535, 1, 0, 0, 0, 98, 537, 1, 0, 0, 0, 100, 547, 1, 0, 0, 0, 102, 550, 1, 0, 0, 0, 104, 553, 1, 0, 0, 0, 106, 557, 1, 0, 0, 0, 108, 560, 1, 0, 0, 0, 110, 577, 1, 0, 0, 0, 112, 582, 1, 0, 0, 0, 114, 586, 1, 0, 0, 0, 116, 589, 1, 0, 0, 0, 118, 602, 1, 0, 0, 0, 120, 606, 1, 0, 0, 0, 122, 610, 1, 0, 0, 0, 124, 614, 1, 0, 0, 0, 126, 625, 1, 0, 0, 0, 128, 627, 1, 0, 0, 0, 130, 638, 1, 0, 0, 0, 132, 660, 1, 0, 0, 0, 134, 662, 1, 0, 0, 0, 136, 683, 1, 0, 0, 0, 138, 685, 1, 0, 0, 0, 140, 693, 1, 0, 0, 0, 142, 698, 1, 0, 0, 0, 144, 701, 1, 0, 0, 0, 146, 705, 1, 0, 0, 0, 148, 740, 1, 0, 0, 0, 150, 799, 1, 0, 0, 0, 152, 801, 1, 0, 0, 0, 154, 814, 1, 0, 0, 0, 156, 820, 1, 0, 0, 0, 158, 841, 1, 0, 0, 0, 160, 851, 1, 0, 0, 0, 162, 873, 1, 0, 0, 0, 164, 875, 1, 0, 0, 0, 166, 888, 1, 0, 0, 0, 168, 894, 1, 0, 0, 0, 170, 938, 1, 0, 0, 0, 172, 940, 1, 0, 0, 0, 174, 944, 1, 0, 0, 0, 176, 947, 1, 0, 0, 0, 178, 952, 1, 0, 0, 0, 180, 956, 1, 0, 0, 0, 182, 958, 1, 0, 0, 0, 184, 960, 1, 0, 0, 0, 186, 973, 1, 0, 0, 0, 188, 975, 1, 0, 0, 0, 190, 1016, 1, 0, 0, 0, 192, 1018, 1, 0, 0, 0, 194, 1020, 1, 0, 0, 0, 196, 1024, 1, 0, 0, 0, 198, 1036, 1, 0, 0, 0, 200, 1038, 1, 0, 0, 0, 202, 1053, 1, 0, 0, 0, 204, 1064, 1, 0, 0, 0, 206, 1066, 1, 0, 0, 0, 208, 1068, 1, 0, 0, 0, 210, 1070, 1, 0, 0, 0, 212, 1072, 1, 0, 0, 0, 214, 216, 3, 144, 72, 0, 215, 214, 1, 0, 0, 0, 216, 219, 1, 0, 0, 0, 217, 215, 1, 0, 0, 0, 217, 218, 1, 0, 0, 0, 218, 220, 1, 0, 0, 0, 219, 217, 1, 0, 0, 0, 220, 221, 3, 2, 1, 0, 221, 222, 5, 0, 0, 1, 222, 1, 1, 0, 0, 0, 223, 224, 3, 4, 2, 0, 224, 225, 5, 0, 0, 1, 225, 3, 1, 0, 0, 0, 226, 227, 6, 2, -1, 0, 227, 228, 3, 6, 3, 0, 228, 234, 1, 0, 0, 0, 229, 230, 10, 1, 0, 0, 230, 231, 5, 51, 0, 0, 231, 233, 3, 8, 4, 0, 232, 229, 1, 0, 0, 0, 233, 236, 1, 0, 0, 0, 234, 232, 1, 0, 0, 0, 234, 235, 1, 0, 0, 0, 235, 5, 1, 0, 0, 0, 236, 234, 1, 0, 0, 0, 237, 246, 3, 24, 12, 0, 238, 246, 3, 14, 7, 0, 239, 246, 3, 106, 53, 0, 240, 246, 3, 26, 13, 0, 241, 242, 4, 3, 1, 0, 242, 246, 3, 102, 51, 0, 243, 244, 4, 3, 2, 0, 244, 246, 3, 190, 95, 0, 245, 237, 1, 0, 0, 0, 245, 238, 1, 0, 0, 0, 245, 239, 1, 0, 0, 0, 245, 240, 1, 0, 0, 0, 245, 241, 1, 0, 0, 0, 245, 243, 1, 0, 0, 0, 246, 7, 1, 0, 0, 0, 247, 272, 3, 46, 23, 0, 248, 272, 3, 10, 5, 0, 249, 272, 3, 82, 41, 0, 250, 272, 3, 76, 38, 0, 251, 272, 3, 48, 24, 0, 252, 272, 3, 78, 39, 0, 253, 272, 3, 84, 42, 0, 254, 272, 3, 86, 43, 0, 255, 272, 3, 90, 45, 0, 256, 272, 3, 98, 49, 0, 257, 272, 3, 108, 54, 0, 258, 272, 3, 100, 50, 0, 259, 272, 3, 184, 92, 0, 260, 272, 3, 116, 58, 0, 261, 272, 3, 130, 65, 0, 262, 272, 3, 114, 57, 0, 263, 272, 3, 118, 59, 0, 264, 272, 3, 128, 64, 0, 265, 272, 3, 132, 66, 0, 266, 272, 3, 134, 67, 0, 267, 268, 4, 4, 3, 0, 268, 272, 3, 140, 70, 0, 269, 270, 4, 4, 4, 0, 270, 272, 3, 142, 71, 0, 271, 247, 1, 0, 0, 0, 271, 248, 1, 0, 0, 0, 271, 249, 1, 0, 0, 0, 271, 250, 1, 0, 0, 0, 271, 251, 1, 0, 0, 0, 271, 252, 1, 0, 0, 0, 271, 253, 1, 0, 0, 0, 271, 254, 1, 0, 0, 0, 271, 255, 1, 0, 0, 0, 271, 256, 1, 0, 0, 0, 271, 257, 1, 0, 0, 0, 271, 258, 1, 0, 0, 0, 271, 259, 1, 0, 0, 0, 271, 260, 1, 0, 0, 0, 271, 261, 1, 0, 0, 0, 271, 262, 1, 0, 0, 0, 271, 263, 1, 0, 0, 0, 271, 264, 1, 0, 0, 0, 271, 265, 1, 0, 0, 0, 271, 266, 1, 0, 0, 0, 271, 267, 1, 0, 0, 0, 271, 269, 1, 0, 0, 0, 272, 9, 1, 0, 0, 0, 273, 274, 5, 17, 0, 0, 274, 275, 3, 148, 74, 0, 275, 11, 1, 0, 0, 0, 276, 277, 3, 64, 32, 0, 277, 13, 1, 0, 0, 0, 278, 279, 5, 13, 0, 0, 279, 280, 3, 16, 8, 0, 280, 15, 1, 0, 0, 0, 281, 286, 3, 18, 9, 0, 282, 283, 5, 62, 0, 0, 283, 285, 3, 18, 9, 0, 284, 282, 1, 0, 0, 0, 285, 288, 1, 0, 0, 0, 286, 284, 1, 0, 0, 0, 286, 287, 1, 0, 0, 0, 287, 17, 1, 0, 0, 0, 288, 286, 1, 0, 0, 0, 289, 290, 3, 54, 27, 0, 290, 291, 5, 57, 0, 0, 291, 293, 1, 0, 0, 0, 292, 289, 1, 0, 0, 0, 292, 293, 1, 0, 0, 0, 293, 294, 1, 0, 0, 0, 294, 295, 3, 148, 74, 0, 295, 19, 1, 0, 0, 0, 296, 301, 3, 22, 11, 0, 297, 298, 5, 62, 0, 0, 298, 300, 3, 22, 11, 0, 299, 297, 1, 0, 0, 0, 300, 303, 1, 0, 0, 0, 301, 299, 1, 0, 0, 0, 301, 302, 1, 0, 0, 0, 302, 21, 1, 0, 0, 0, 303, 301, 1, 0, 0, 0, 304, 307, 3, 54, 27, 0, 305, 306, 5, 57, 0, 0, 306, 308, 3, 148, 74, 0, 307, 305, 1, 0, 0, 0, 307, 308, 1, 0, 0, 0, 308, 23, 1, 0, 0, 0, 309, 310, 5, 18, 0, 0, 310, 311, 3, 28, 14, 0, 311, 25, 1, 0, 0, 0, 312, 313, 5, 19, 0, 0, 313, 314, 3, 28, 14, 0, 314, 27, 1, 0, 0, 0, 315, 320, 3, 30, 15, 0, 316, 317, 5, 62, 0, 0, 317, 319, 3, 30, 15, 0, 318, 316, 1, 0, 0, 0, 319, 322, 1, 0, 0, 0, 320, 318, 1, 0, 0, 0, 320, 321, 1, 0, 0, 0, 321, 324, 1, 0, 0, 0, 322, 320, 1, 0, 0, 0, 323, 325, 3, 44, 22, 0, 324, 323, 1, 0, 0, 0, 324, 325, 1, 0, 0, 0, 325, 29, 1, 0, 0, 0, 326, 330, 3, 34, 17, 0, 327, 328, 4, 15, 5, 0, 328, 330, 3, 32, 16, 0, 329, 326, 1, 0, 0, 0, 329, 327, 1, 0, 0, 0, 330, 31, 1, 0, 0, 0, 331, 332, 5, 99, 0, 0, 332, 337, 3, 24, 12, 0, 333, 334, 5, 51, 0, 0, 334, 336, 3, 8, 4, 0, 335, 333, 1, 0, 0, 0, 336, 339, 1, 0, 0, 0, 337, 335, 1, 0, 0, 0, 337, 338, 1, 0, 0, 0, 338, 340, 1, 0, 0, 0, 339, 337, 1, 0, 0, 0, 340, 341, 5, 100, 0, 0, 341, 33, 1, 0, 0, 0, 342, 343, 3, 36, 18, 0, 343, 344, 5, 60, 0, 0, 344, 345, 3, 40, 20, 0, 345, 352, 1, 0, 0, 0, 346, 347, 3, 40, 20, 0, 347, 348, 5, 59, 0, 0, 348, 349, 3, 38, 19, 0, 349, 352, 1, 0, 0, 0, 350, 352, 3, 42, 21, 0, 351, 342, 1, 0, 0, 0, 351, 346, 1, 0, 0, 0, 351, 350, 1, 0, 0, 0, 352, 35, 1, 0, 0, 0, 353, 354, 5, 107, 0, 0, 354, 37, 1, 0, 0, 0, 355, 356, 5, 107, 0, 0, 356, 39, 1, 0, 0, 0, 357, 358, 5, 107, 0, 0, 358, 41, 1, 0, 0, 0, 359, 360, 7, 0, 0, 0, 360, 43, 1, 0, 0, 0, 361, 362, 5, 106, 0, 0, 362, 367, 5, 107, 0, 0, 363, 364, 5, 62, 0, 0, 364, 366, 5, 107, 0, 0, 365, 363, 1, 0, 0, 0, 366, 369, 1, 0, 0, 0, 367, 365, 1, 0, 0, 0, 367, 368, 1, 0, 0, 0, 368, 45, 1, 0, 0, 0, 369, 367, 1, 0, 0, 0, 370, 371, 5, 9, 0, 0, 371, 372, 3, 16, 8, 0, 372, 47, 1, 0, 0, 0, 373, 375, 5, 16, 0, 0, 374, 376, 3, 50, 25, 0, 375, 374, 1, 0, 0, 0, 375, 376, 1, 0, 0, 0, 376, 379, 1, 0, 0, 0, 377, 378, 5, 58, 0, 0, 378, 380, 3, 16, 8, 0, 379, 377, 1, 0, 0, 0, 379, 380, 1, 0, 0, 0, 380, 49, 1, 0, 0, 0, 381, 386, 3, 52, 26, 0, 382, 383, 5, 62, 0, 0, 383, 385, 3, 52, 26, 0, 384, 382, 1, 0, 0, 0, 385, 388, 1, 0, 0, 0, 386, 384, 1, 0, 0, 0, 386, 387, 1, 0, 0, 0, 387, 51, 1, 0, 0, 0, 388, 386, 1, 0, 0, 0, 389, 392, 3, 18, 9, 0, 390, 391, 5, 17, 0, 0, 391, 393, 3, 148, 74, 0, 392, 390, 1, 0, 0, 0, 392, 393, 1, 0, 0, 0, 393, 53, 1, 0, 0, 0, 394, 395, 4, 27, 6, 0, 395, 397, 5, 97, 0, 0, 396, 398, 5, 101, 0, 0, 397, 396, 1, 0, 0, 0, 397, 398, 1, 0, 0, 0, 398, 399, 1, 0, 0, 0, 399, 400, 5, 98, 0, 0, 400, 401, 5, 64, 0, 0, 401, 402, 5, 97, 0, 0, 402, 403, 3, 56, 28, 0, 403, 404, 5, 98, 0, 0, 404, 407, 1, 0, 0, 0, 405, 407, 3, 56, 28, 0, 406, 394, 1, 0, 0, 0, 406, 405, 1, 0, 0, 0, 407, 55, 1, 0, 0, 0, 408, 413, 3, 72, 36, 0, 409, 410, 5, 64, 0, 0, 410, 412, 3, 72, 36, 0, 411, 409, 1, 0, 0, 0, 412, 415, 1, 0, 0, 0, 413, 411, 1, 0, 0, 0, 413, 414, 1, 0, 0, 0, 414, 57, 1, 0, 0, 0, 415, 413, 1, 0, 0, 0, 416, 417, 4, 29, 7, 0, 417, 419, 5, 97, 0, 0, 418, 420, 5, 138, 0, 0, 419, 418, 1, 0, 0, 0, 419, 420, 1, 0, 0, 0, 420, 421, 1, 0, 0, 0, 421, 422, 5, 98, 0, 0, 422, 423, 5, 64, 0, 0, 423, 424, 5, 97, 0, 0, 424, 425, 3, 60, 30, 0, 425, 426, 5, 98, 0, 0, 426, 429, 1, 0, 0, 0, 427, 429, 3, 60, 30, 0, 428, 416, 1, 0, 0, 0, 428, 427, 1, 0, 0, 0, 429, 59, 1, 0, 0, 0, 430, 435, 3, 66, 33, 0, 431, 432, 5, 64, 0, 0, 432, 434, 3, 66, 33, 0, 433, 431, 1, 0, 0, 0, 434, 437, 1, 0, 0, 0, 435, 433, 1, 0, 0, 0, 435, 436, 1, 0, 0, 0, 436, 61, 1, 0, 0, 0, 437, 435, 1, 0, 0, 0, 438, 443, 3, 58, 29, 0, 439, 440, 5, 62, 0, 0, 440, 442, 3, 58, 29, 0, 441, 439, 1, 0, 0, 0, 442, 445, 1, 0, 0, 0, 443, 441, 1, 0, 0, 0, 443, 444, 1, 0, 0, 0, 444, 63, 1, 0, 0, 0, 445, 443, 1, 0, 0, 0, 446, 447, 7, 1, 0, 0, 447, 65, 1, 0, 0, 0, 448, 452, 5, 138, 0, 0, 449, 452, 3, 68, 34, 0, 450, 452, 3, 70, 35, 0, 451, 448, 1, 0, 0, 0, 451, 449, 1, 0, 0, 0, 451, 450, 1, 0, 0, 0, 452, 67, 1, 0, 0, 0, 453, 456, 5, 76, 0, 0, 454, 456, 5, 95, 0, 0, 455, 453, 1, 0, 0, 0, 455, 454, 1, 0, 0, 0, 456, 69, 1, 0, 0, 0, 457, 460, 5, 94, 0, 0, 458, 460, 5, 96, 0, 0, 459, 457, 1, 0, 0, 0, 459, 458, 1, 0, 0, 0, 460, 71, 1, 0, 0, 0, 461, 465, 3, 64, 32, 0, 462, 465, 3, 68, 34, 0, 463, 465, 3, 70, 35, 0, 464, 461, 1, 0, 0, 0, 464, 462, 1, 0, 0, 0, 464, 463, 1, 0, 0, 0, 465, 73, 1, 0, 0, 0, 466, 469, 3, 180, 90, 0, 467, 469, 3, 68, 34, 0, 468, 466, 1, 0, 0, 0, 468, 467, 1, 0, 0, 0, 469, 75, 1, 0, 0, 0, 470, 471, 5, 11, 0, 0, 471, 472, 3, 170, 85, 0, 472, 77, 1, 0, 0, 0, 473, 474, 5, 15, 0, 0, 474, 479, 3, 80, 40, 0, 475, 476, 5, 62, 0, 0, 476, 478, 3, 80, 40, 0, 477, 475, 1, 0, 0, 0, 478, 481, 1, 0, 0, 0, 479, 477, 1, 0, 0, 0, 479, 480, 1, 0, 0, 0, 480, 79, 1, 0, 0, 0, 481, 479, 1, 0, 0, 0, 482, 484, 3, 148, 74, 0, 483, 485, 7, 2, 0, 0, 484, 483, 1, 0, 0, 0, 484, 485, 1, 0, 0, 0, 485, 488, 1, 0, 0, 0, 486, 487, 5, 73, 0, 0, 487, 489, 7, 3, 0, 0, 488, 486, 1, 0, 0, 0, 488, 489, 1, 0, 0, 0, 489, 81, 1, 0, 0, 0, 490, 491, 5, 31, 0, 0, 491, 492, 3, 62, 31, 0, 492, 83, 1, 0, 0, 0, 493, 494, 5, 30, 0, 0, 494, 495, 3, 62, 31, 0, 495, 85, 1, 0, 0, 0, 496, 497, 5, 34, 0, 0, 497, 502, 3, 88, 44, 0, 498, 499, 5, 62, 0, 0, 499, 501, 3, 88, 44, 0, 500, 498, 1, 0, 0, 0, 501, 504, 1, 0, 0, 0, 502, 500, 1, 0, 0, 0, 502, 503, 1, 0, 0, 0, 503, 87, 1, 0, 0, 0, 504, 502, 1, 0, 0, 0, 505, 506, 3, 58, 29, 0, 506, 507, 5, 148, 0, 0, 507, 508, 3, 58, 29, 0, 508, 514, 1, 0, 0, 0, 509, 510, 3, 58, 29, 0, 510, 511, 5, 57, 0, 0, 511, 512, 3, 58, 29, 0, 512, 514, 1, 0, 0, 0, 513, 505, 1, 0, 0, 0, 513, 509, 1, 0, 0, 0, 514, 89, 1, 0, 0, 0, 515, 516, 5, 8, 0, 0, 516, 517, 3, 158, 79, 0, 517, 519, 3, 180, 90, 0, 518, 520, 3, 92, 46, 0, 519, 518, 1, 0, 0, 0, 519, 520, 1, 0, 0, 0, 520, 91, 1, 0, 0, 0, 521, 526, 3, 94, 47, 0, 522, 523, 5, 62, 0, 0, 523, 525, 3, 94, 47, 0, 524, 522, 1, 0, 0, 0, 525, 528, 1, 0, 0, 0, 526, 524, 1, 0, 0, 0, 526, 527, 1, 0, 0, 0, 527, 93, 1, 0, 0, 0, 528, 526, 1, 0, 0, 0, 529, 530, 3, 64, 32, 0, 530, 531, 5, 57, 0, 0, 531, 532, 3, 170, 85, 0, 532, 95, 1, 0, 0, 0, 533, 534, 5, 79, 0, 0, 534, 536, 3, 164, 82, 0, 535, 533, 1, 0, 0, 0, 535, 536, 1, 0, 0, 0, 536, 97, 1, 0, 0, 0, 537, 538, 5, 10, 0, 0, 538, 539, 3, 158, 79, 0, 539, 544, 3, 180, 90, 0, 540, 541, 5, 62, 0, 0, 541, 543, 3, 180, 90, 0, 542, 540, 1, 0, 0, 0, 543, 546, 1, 0, 0, 0, 544, 542, 1, 0, 0, 0, 544, 545, 1, 0, 0, 0, 545, 99, 1, 0, 0, 0, 546, 544, 1, 0, 0, 0, 547, 548, 5, 29, 0, 0, 548, 549, 3, 54, 27, 0, 549, 101, 1, 0, 0, 0, 550, 551, 5, 6, 0, 0, 551, 552, 3, 104, 52, 0, 552, 103, 1, 0, 0, 0, 553, 554, 5, 99, 0, 0, 554, 555, 3, 4, 2, 0, 555, 556, 5, 100, 0, 0, 556, 105, 1, 0, 0, 0, 557, 558, 5, 36, 0, 0, 558, 559, 5, 155, 0, 0, 559, 107, 1, 0, 0, 0, 560, 561, 5, 5, 0, 0, 561, 564, 3, 110, 55, 0, 562, 563, 5, 74, 0, 0, 563, 565, 3, 58, 29, 0, 564, 562, 1, 0, 0, 0, 564, 565, 1, 0, 0, 0, 565, 575, 1, 0, 0, 0, 566, 567, 5, 79, 0, 0, 567, 572, 3, 112, 56, 0, 568, 569, 5, 62, 0, 0, 569, 571, 3, 112, 56, 0, 570, 568, 1, 0, 0, 0, 571, 574, 1, 0, 0, 0, 572, 570, 1, 0, 0, 0, 572, 573, 1, 0, 0, 0, 573, 576, 1, 0, 0, 0, 574, 572, 1, 0, 0, 0, 575, 566, 1, 0, 0, 0, 575, 576, 1, 0, 0, 0, 576, 109, 1, 0, 0, 0, 577, 578, 7, 4, 0, 0, 578, 111, 1, 0, 0, 0, 579, 580, 3, 58, 29, 0, 580, 581, 5, 57, 0, 0, 581, 583, 1, 0, 0, 0, 582, 579, 1, 0, 0, 0, 582, 583, 1, 0, 0, 0, 583, 584, 1, 0, 0, 0, 584, 585, 3, 58, 29, 0, 585, 113, 1, 0, 0, 0, 586, 587, 5, 14, 0, 0, 587, 588, 3, 170, 85, 0, 588, 115, 1, 0, 0, 0, 589, 590, 5, 4, 0, 0, 590, 593, 3, 54, 27, 0, 591, 592, 5, 74, 0, 0, 592, 594, 3, 54, 27, 0, 593, 591, 1, 0, 0, 0, 593, 594, 1, 0, 0, 0, 594, 600, 1, 0, 0, 0, 595, 596, 5, 148, 0, 0, 596, 597, 3, 54, 27, 0, 597, 598, 5, 62, 0, 0, 598, 599, 3, 54, 27, 0, 599, 601, 1, 0, 0, 0, 600, 595, 1, 0, 0, 0, 600, 601, 1, 0, 0, 0, 601, 117, 1, 0, 0, 0, 602, 603, 5, 20, 0, 0, 603, 604, 3, 120, 60, 0, 604, 119, 1, 0, 0, 0, 605, 607, 3, 122, 61, 0, 606, 605, 1, 0, 0, 0, 607, 608, 1, 0, 0, 0, 608, 606, 1, 0, 0, 0, 608, 609, 1, 0, 0, 0, 609, 121, 1, 0, 0, 0, 610, 611, 5, 99, 0, 0, 611, 612, 3, 124, 62, 0, 612, 613, 5, 100, 0, 0, 613, 123, 1, 0, 0, 0, 614, 615, 6, 62, -1, 0, 615, 616, 3, 126, 63, 0, 616, 622, 1, 0, 0, 0, 617, 618, 10, 1, 0, 0, 618, 619, 5, 51, 0, 0, 619, 621, 3, 126, 63, 0, 620, 617, 1, 0, 0, 0, 621, 624, 1, 0, 0, 0, 622, 620, 1, 0, 0, 0, 622, 623, 1, 0, 0, 0, 623, 125, 1, 0, 0, 0, 624, 622, 1, 0, 0, 0, 625, 626, 3, 8, 4, 0, 626, 127, 1, 0, 0, 0, 627, 631, 5, 12, 0, 0, 628, 629, 3, 54, 27, 0, 629, 630, 5, 57, 0, 0, 630, 632, 1, 0, 0, 0, 631, 628, 1, 0, 0, 0, 631, 632, 1, 0, 0, 0, 632, 633, 1, 0, 0, 0, 633, 634, 3, 170, 85, 0, 634, 635, 5, 74, 0, 0, 635, 636, 3, 20, 10, 0, 636, 637, 3, 96, 48, 0, 637, 129, 1, 0, 0, 0, 638, 642, 5, 7, 0, 0, 639, 640, 3, 54, 27, 0, 640, 641, 5, 57, 0, 0, 641, 643, 1, 0, 0, 0, 642, 639, 1, 0, 0, 0, 642, 643, 1, 0, 0, 0, 643, 644, 1, 0, 0, 0, 644, 645, 3, 158, 79, 0, 645, 646, 3, 96, 48, 0, 646, 131, 1, 0, 0, 0, 647, 648, 5, 22, 0, 0, 648, 649, 5, 120, 0, 0, 649, 652, 3, 50, 25, 0, 650, 651, 5, 58, 0, 0, 651, 653, 3, 16, 8, 0, 652, 650, 1, 0, 0, 0, 652, 653, 1, 0, 0, 0, 653, 661, 1, 0, 0, 0, 654, 655, 5, 23, 0, 0, 655, 658, 3, 50, 25, 0, 656, 657, 5, 58, 0, 0, 657, 659, 3, 16, 8, 0, 658, 656, 1, 0, 0, 0, 658, 659, 1, 0, 0, 0, 659, 661, 1, 0, 0, 0, 660, 647, 1, 0, 0, 0, 660, 654, 1, 0, 0, 0, 661, 133, 1, 0, 0, 0, 662, 664, 5, 21, 0, 0, 663, 665, 3, 64, 32, 0, 664, 663, 1, 0, 0, 0, 664, 665, 1, 0, 0, 0, 665, 669, 1, 0, 0, 0, 666, 668, 3, 136, 68, 0, 667, 666, 1, 0, 0, 0, 668, 671, 1, 0, 0, 0, 669, 667, 1, 0, 0, 0, 669, 670, 1, 0, 0, 0, 670, 135, 1, 0, 0, 0, 671, 669, 1, 0, 0, 0, 672, 673, 5, 115, 0, 0, 673, 674, 5, 58, 0, 0, 674, 684, 3, 54, 27, 0, 675, 676, 5, 116, 0, 0, 676, 677, 5, 58, 0, 0, 677, 684, 3, 138, 69, 0, 678, 679, 5, 114, 0, 0, 679, 680, 5, 58, 0, 0, 680, 684, 3, 54, 27, 0, 681, 682, 5, 79, 0, 0, 682, 684, 3, 164, 82, 0, 683, 672, 1, 0, 0, 0, 683, 675, 1, 0, 0, 0, 683, 678, 1, 0, 0, 0, 683, 681, 1, 0, 0, 0, 684, 137, 1, 0, 0, 0, 685, 690, 3, 54, 27, 0, 686, 687, 5, 62, 0, 0, 687, 689, 3, 54, 27, 0, 688, 686, 1, 0, 0, 0, 689, 692, 1, 0, 0, 0, 690, 688, 1, 0, 0, 0, 690, 691, 1, 0, 0, 0, 691, 139, 1, 0, 0, 0, 692, 690, 1, 0, 0, 0, 693, 694, 5, 28, 0, 0, 694, 695, 3, 34, 17, 0, 695, 696, 5, 74, 0, 0, 696, 697, 3, 62, 31, 0, 697, 141, 1, 0, 0, 0, 698, 699, 5, 32, 0, 0, 699, 700, 3, 62, 31, 0, 700, 143, 1, 0, 0, 0, 701, 702, 5, 35, 0, 0, 702, 703, 3, 146, 73, 0, 703, 704, 5, 61, 0, 0, 704, 145, 1, 0, 0, 0, 705, 706, 3, 64, 32, 0, 706, 709, 5, 57, 0, 0, 707, 710, 3, 170, 85, 0, 708, 710, 3, 164, 82, 0, 709, 707, 1, 0, 0, 0, 709, 708, 1, 0, 0, 0, 710, 147, 1, 0, 0, 0, 711, 712, 6, 74, -1, 0, 712, 713, 5, 71, 0, 0, 713, 741, 3, 148, 74, 8, 714, 741, 3, 154, 77, 0, 715, 741, 3, 150, 75, 0, 716, 718, 3, 154, 77, 0, 717, 719, 5, 71, 0, 0, 718, 717, 1, 0, 0, 0, 718, 719, 1, 0, 0, 0, 719, 720, 1, 0, 0, 0, 720, 721, 5, 67, 0, 0, 721, 722, 5, 99, 0, 0, 722, 727, 3, 154, 77, 0, 723, 724, 5, 62, 0, 0, 724, 726, 3, 154, 77, 0, 725, 723, 1, 0, 0, 0, 726, 729, 1, 0, 0, 0, 727, 725, 1, 0, 0, 0, 727, 728, 1, 0, 0, 0, 728, 730, 1, 0, 0, 0, 729, 727, 1, 0, 0, 0, 730, 731, 5, 100, 0, 0, 731, 741, 1, 0, 0, 0, 732, 733, 3, 154, 77, 0, 733, 735, 5, 68, 0, 0, 734, 736, 5, 71, 0, 0, 735, 734, 1, 0, 0, 0, 735, 736, 1, 0, 0, 0, 736, 737, 1, 0, 0, 0, 737, 738, 5, 72, 0, 0, 738, 741, 1, 0, 0, 0, 739, 741, 3, 152, 76, 0, 740, 711, 1, 0, 0, 0, 740, 714, 1, 0, 0, 0, 740, 715, 1, 0, 0, 0, 740, 716, 1, 0, 0, 0, 740, 732, 1, 0, 0, 0, 740, 739, 1, 0, 0, 0, 741, 750, 1, 0, 0, 0, 742, 743, 10, 5, 0, 0, 743, 744, 5, 55, 0, 0, 744, 749, 3, 148, 74, 6, 745, 746, 10, 4, 0, 0, 746, 747, 5, 75, 0, 0, 747, 749, 3, 148, 74, 5, 748, 742, 1, 0, 0, 0, 748, 745, 1, 0, 0, 0, 749, 752, 1, 0, 0, 0, 750, 748, 1, 0, 0, 0, 750, 751, 1, 0, 0, 0, 751, 149, 1, 0, 0, 0, 752, 750, 1, 0, 0, 0, 753, 755, 3, 154, 77, 0, 754, 756, 5, 71, 0, 0, 755, 754, 1, 0, 0, 0, 755, 756, 1, 0, 0, 0, 756, 757, 1, 0, 0, 0, 757, 758, 5, 70, 0, 0, 758, 759, 3, 74, 37, 0, 759, 800, 1, 0, 0, 0, 760, 762, 3, 154, 77, 0, 761, 763, 5, 71, 0, 0, 762, 761, 1, 0, 0, 0, 762, 763, 1, 0, 0, 0, 763, 764, 1, 0, 0, 0, 764, 765, 5, 77, 0, 0, 765, 766, 3, 74, 37, 0, 766, 800, 1, 0, 0, 0, 767, 769, 3, 154, 77, 0, 768, 770, 5, 71, 0, 0, 769, 768, 1, 0, 0, 0, 769, 770, 1, 0, 0, 0, 770, 771, 1, 0, 0, 0, 771, 772, 5, 70, 0, 0, 772, 773, 5, 99, 0, 0, 773, 778, 3, 74, 37, 0, 774, 775, 5, 62, 0, 0, 775, 777, 3, 74, 37, 0, 776, 774, 1, 0, 0, 0, 777, 780, 1, 0, 0, 0, 778, 776, 1, 0, 0, 0, 778, 779, 1, 0, 0, 0, 779, 781, 1, 0, 0, 0, 780, 778, 1, 0, 0, 0, 781, 782, 5, 100, 0, 0, 782, 800, 1, 0, 0, 0, 783, 785, 3, 154, 77, 0, 784, 786, 5, 71, 0, 0, 785, 784, 1, 0, 0, 0, 785, 786, 1, 0, 0, 0, 786, 787, 1, 0, 0, 0, 787, 788, 5, 77, 0, 0, 788, 789, 5, 99, 0, 0, 789, 794, 3, 74, 37, 0, 790, 791, 5, 62, 0, 0, 791, 793, 3, 74, 37, 0, 792, 790, 1, 0, 0, 0, 793, 796, 1, 0, 0, 0, 794, 792, 1, 0, 0, 0, 794, 795, 1, 0, 0, 0, 795, 797, 1, 0, 0, 0, 796, 794, 1, 0, 0, 0, 797, 798, 5, 100, 0, 0, 798, 800, 1, 0, 0, 0, 799, 753, 1, 0, 0, 0, 799, 760, 1, 0, 0, 0, 799, 767, 1, 0, 0, 0, 799, 783, 1, 0, 0, 0, 800, 151, 1, 0, 0, 0, 801, 804, 3, 54, 27, 0, 802, 803, 5, 59, 0, 0, 803, 805, 3, 12, 6, 0, 804, 802, 1, 0, 0, 0, 804, 805, 1, 0, 0, 0, 805, 806, 1, 0, 0, 0, 806, 807, 5, 60, 0, 0, 807, 808, 3, 170, 85, 0, 808, 153, 1, 0, 0, 0, 809, 815, 3, 156, 78, 0, 810, 811, 3, 156, 78, 0, 811, 812, 3, 182, 91, 0, 812, 813, 3, 156, 78, 0, 813, 815, 1, 0, 0, 0, 814, 809, 1, 0, 0, 0, 814, 810, 1, 0, 0, 0, 815, 155, 1, 0, 0, 0, 816, 817, 6, 78, -1, 0, 817, 821, 3, 158, 79, 0, 818, 819, 7, 5, 0, 0, 819, 821, 3, 156, 78, 3, 820, 816, 1, 0, 0, 0, 820, 818, 1, 0, 0, 0, 821, 830, 1, 0, 0, 0, 822, 823, 10, 2, 0, 0, 823, 824, 7, 6, 0, 0, 824, 829, 3, 156, 78, 3, 825, 826, 10, 1, 0, 0, 826, 827, 7, 5, 0, 0, 827, 829, 3, 156, 78, 2, 828, 822, 1, 0, 0, 0, 828, 825, 1, 0, 0, 0, 829, 832, 1, 0, 0, 0, 830, 828, 1, 0, 0, 0, 830, 831, 1, 0, 0, 0, 831, 157, 1, 0, 0, 0, 832, 830, 1, 0, 0, 0, 833, 834, 6, 79, -1, 0, 834, 842, 3, 170, 85, 0, 835, 842, 3, 54, 27, 0, 836, 842, 3, 160, 80, 0, 837, 838, 5, 99, 0, 0, 838, 839, 3, 148, 74, 0, 839, 840, 5, 100, 0, 0, 840, 842, 1, 0, 0, 0, 841, 833, 1, 0, 0, 0, 841, 835, 1, 0, 0, 0, 841, 836, 1, 0, 0, 0, 841, 837, 1, 0, 0, 0, 842, 848, 1, 0, 0, 0, 843, 844, 10, 1, 0, 0, 844, 845, 5, 59, 0, 0, 845, 847, 3, 12, 6, 0, 846, 843, 1, 0, 0, 0, 847, 850, 1, 0, 0, 0, 848, 846, 1, 0, 0, 0, 848, 849, 1, 0, 0, 0, 849, 159, 1, 0, 0, 0, 850, 848, 1, 0, 0, 0, 851, 852, 3, 162, 81, 0, 852, 866, 5, 99, 0, 0, 853, 867, 5, 89, 0, 0, 854, 859, 3, 148, 74, 0, 855, 856, 5, 62, 0, 0, 856, 858, 3, 148, 74, 0, 857, 855, 1, 0, 0, 0, 858, 861, 1, 0, 0, 0, 859, 857, 1, 0, 0, 0, 859, 860, 1, 0, 0, 0, 860, 864, 1, 0, 0, 0, 861, 859, 1, 0, 0, 0, 862, 863, 5, 62, 0, 0, 863, 865, 3, 164, 82, 0, 864, 862, 1, 0, 0, 0, 864, 865, 1, 0, 0, 0, 865, 867, 1, 0, 0, 0, 866, 853, 1, 0, 0, 0, 866, 854, 1, 0, 0, 0, 866, 867, 1, 0, 0, 0, 867, 868, 1, 0, 0, 0, 868, 869, 5, 100, 0, 0, 869, 161, 1, 0, 0, 0, 870, 874, 3, 72, 36, 0, 871, 874, 5, 66, 0, 0, 872, 874, 5, 69, 0, 0, 873, 870, 1, 0, 0, 0, 873, 871, 1, 0, 0, 0, 873, 872, 1, 0, 0, 0, 874, 163, 1, 0, 0, 0, 875, 884, 5, 92, 0, 0, 876, 881, 3, 166, 83, 0, 877, 878, 5, 62, 0, 0, 878, 880, 3, 166, 83, 0, 879, 877, 1, 0, 0, 0, 880, 883, 1, 0, 0, 0, 881, 879, 1, 0, 0, 0, 881, 882, 1, 0, 0, 0, 882, 885, 1, 0, 0, 0, 883, 881, 1, 0, 0, 0, 884, 876, 1, 0, 0, 0, 884, 885, 1, 0, 0, 0, 885, 886, 1, 0, 0, 0, 886, 887, 5, 93, 0, 0, 887, 165, 1, 0, 0, 0, 888, 889, 3, 180, 90, 0, 889, 890, 5, 60, 0, 0, 890, 891, 3, 168, 84, 0, 891, 167, 1, 0, 0, 0, 892, 895, 3, 170, 85, 0, 893, 895, 3, 164, 82, 0, 894, 892, 1, 0, 0, 0, 894, 893, 1, 0, 0, 0, 895, 169, 1, 0, 0, 0, 896, 939, 5, 72, 0, 0, 897, 898, 3, 178, 89, 0, 898, 899, 5, 101, 0, 0, 899, 939, 1, 0, 0, 0, 900, 939, 3, 176, 88, 0, 901, 939, 3, 178, 89, 0, 902, 939, 3, 172, 86, 0, 903, 939, 3, 68, 34, 0, 904, 939, 3, 180, 90, 0, 905, 906, 5, 97, 0, 0, 906, 911, 3, 174, 87, 0, 907, 908, 5, 62, 0, 0, 908, 910, 3, 174, 87, 0, 909, 907, 1, 0, 0, 0, 910, 913, 1, 0, 0, 0, 911, 909, 1, 0, 0, 0, 911, 912, 1, 0, 0, 0, 912, 914, 1, 0, 0, 0, 913, 911, 1, 0, 0, 0, 914, 915, 5, 98, 0, 0, 915, 939, 1, 0, 0, 0, 916, 917, 5, 97, 0, 0, 917, 922, 3, 172, 86, 0, 918, 919, 5, 62, 0, 0, 919, 921, 3, 172, 86, 0, 920, 918, 1, 0, 0, 0, 921, 924, 1, 0, 0, 0, 922, 920, 1, 0, 0, 0, 922, 923, 1, 0, 0, 0, 923, 925, 1, 0, 0, 0, 924, 922, 1, 0, 0, 0, 925, 926, 5, 98, 0, 0, 926, 939, 1, 0, 0, 0, 927, 928, 5, 97, 0, 0, 928, 933, 3, 180, 90, 0, 929, 930, 5, 62, 0, 0, 930, 932, 3, 180, 90, 0, 931, 929, 1, 0, 0, 0, 932, 935, 1, 0, 0, 0, 933, 931, 1, 0, 0, 0, 933, 934, 1, 0, 0, 0, 934, 936, 1, 0, 0, 0, 935, 933, 1, 0, 0, 0, 936, 937, 5, 98, 0, 0, 937, 939, 1, 0, 0, 0, 938, 896, 1, 0, 0, 0, 938, 897, 1, 0, 0, 0, 938, 900, 1, 0, 0, 0, 938, 901, 1, 0, 0, 0, 938, 902, 1, 0, 0, 0, 938, 903, 1, 0, 0, 0, 938, 904, 1, 0, 0, 0, 938, 905, 1, 0, 0, 0, 938, 916, 1, 0, 0, 0, 938, 927, 1, 0, 0, 0, 939, 171, 1, 0, 0, 0, 940, 941, 7, 7, 0, 0, 941, 173, 1, 0, 0, 0, 942, 945, 3, 176, 88, 0, 943, 945, 3, 178, 89, 0, 944, 942, 1, 0, 0, 0, 944, 943, 1, 0, 0, 0, 945, 175, 1, 0, 0, 0, 946, 948, 7, 5, 0, 0, 947, 946, 1, 0, 0, 0, 947, 948, 1, 0, 0, 0, 948, 949, 1, 0, 0, 0, 949, 950, 5, 54, 0, 0, 950, 177, 1, 0, 0, 0, 951, 953, 7, 5, 0, 0, 952, 951, 1, 0, 0, 0, 952, 953, 1, 0, 0, 0, 953, 954, 1, 0, 0, 0, 954, 955, 5, 53, 0, 0, 955, 179, 1, 0, 0, 0, 956, 957, 5, 52, 0, 0, 957, 181, 1, 0, 0, 0, 958, 959, 7, 8, 0, 0, 959, 183, 1, 0, 0, 0, 960, 961, 7, 9, 0, 0, 961, 962, 5, 124, 0, 0, 962, 963, 3, 186, 93, 0, 963, 964, 3, 188, 94, 0, 964, 185, 1, 0, 0, 0, 965, 966, 4, 93, 14, 0, 966, 968, 3, 34, 17, 0, 967, 969, 5, 148, 0, 0, 968, 967, 1, 0, 0, 0, 968, 969, 1, 0, 0, 0, 969, 970, 1, 0, 0, 0, 970, 971, 5, 107, 0, 0, 971, 974, 1, 0, 0, 0, 972, 974, 3, 34, 17, 0, 973, 965, 1, 0, 0, 0, 973, 972, 1, 0, 0, 0, 974, 187, 1, 0, 0, 0, 975, 976, 5, 74, 0, 0, 976, 981, 3, 148, 74, 0, 977, 978, 5, 62, 0, 0, 978, 980, 3, 148, 74, 0, 979, 977, 1, 0, 0, 0, 980, 983, 1, 0, 0, 0, 981, 979, 1, 0, 0, 0, 981, 982, 1, 0, 0, 0, 982, 189, 1, 0, 0, 0, 983, 981, 1, 0, 0, 0, 984, 988, 5, 33, 0, 0, 985, 987, 3, 194, 97, 0, 986, 985, 1, 0, 0, 0, 987, 990, 1, 0, 0, 0, 988, 986, 1, 0, 0, 0, 988, 989, 1, 0, 0, 0, 989, 994, 1, 0, 0, 0, 990, 988, 1, 0, 0, 0, 991, 992, 3, 192, 96, 0, 992, 993, 5, 57, 0, 0, 993, 995, 1, 0, 0, 0, 994, 991, 1, 0, 0, 0, 994, 995, 1, 0, 0, 0, 995, 996, 1, 0, 0, 0, 996, 998, 5, 99, 0, 0, 997, 999, 3, 202, 101, 0, 998, 997, 1, 0, 0, 0, 999, 1000, 1, 0, 0, 0, 1000, 998, 1, 0, 0, 0, 1000, 1001, 1, 0, 0, 0, 1001, 1002, 1, 0, 0, 0, 1002, 1003, 5, 100, 0, 0, 1003, 1017, 1, 0, 0, 0, 1004, 1008, 5, 33, 0, 0, 1005, 1007, 3, 194, 97, 0, 1006, 1005, 1, 0, 0, 0, 1007, 1010, 1, 0, 0, 0, 1008, 1006, 1, 0, 0, 0, 1008, 1009, 1, 0, 0, 0, 1009, 1012, 1, 0, 0, 0, 1010, 1008, 1, 0, 0, 0, 1011, 1013, 3, 202, 101, 0, 1012, 1011, 1, 0, 0, 0, 1013, 1014, 1, 0, 0, 0, 1014, 1012, 1, 0, 0, 0, 1014, 1015, 1, 0, 0, 0, 1015, 1017, 1, 0, 0, 0, 1016, 984, 1, 0, 0, 0, 1016, 1004, 1, 0, 0, 0, 1017, 191, 1, 0, 0, 0, 1018, 1019, 7, 1, 0, 0, 1019, 193, 1, 0, 0, 0, 1020, 1021, 3, 196, 98, 0, 1021, 1022, 5, 57, 0, 0, 1022, 1023, 3, 198, 99, 0, 1023, 195, 1, 0, 0, 0, 1024, 1025, 7, 10, 0, 0, 1025, 197, 1, 0, 0, 0, 1026, 1031, 3, 204, 102, 0, 1027, 1028, 5, 62, 0, 0, 1028, 1030, 3, 204, 102, 0, 1029, 1027, 1, 0, 0, 0, 1030, 1033, 1, 0, 0, 0, 1031, 1029, 1, 0, 0, 0, 1031, 1032, 1, 0, 0, 0, 1032, 1037, 1, 0, 0, 0, 1033, 1031, 1, 0, 0, 0, 1034, 1037, 5, 102, 0, 0, 1035, 1037, 5, 95, 0, 0, 1036, 1026, 1, 0, 0, 0, 1036, 1034, 1, 0, 0, 0, 1036, 1035, 1, 0, 0, 0, 1037, 199, 1, 0, 0, 0, 1038, 1039, 7, 11, 0, 0, 1039, 201, 1, 0, 0, 0, 1040, 1042, 3, 200, 100, 0, 1041, 1040, 1, 0, 0, 0, 1042, 1043, 1, 0, 0, 0, 1043, 1041, 1, 0, 0, 0, 1043, 1044, 1, 0, 0, 0, 1044, 1054, 1, 0, 0, 0, 1045, 1049, 5, 99, 0, 0, 1046, 1048, 3, 202, 101, 0, 1047, 1046, 1, 0, 0, 0, 1048, 1051, 1, 0, 0, 0, 1049, 1047, 1, 0, 0, 0, 1049, 1050, 1, 0, 0, 0, 1050, 1052, 1, 0, 0, 0, 1051, 1049, 1, 0, 0, 0, 1052, 1054, 5, 100, 0, 0, 1053, 1041, 1, 0, 0, 0, 1053, 1045, 1, 0, 0, 0, 1054, 203, 1, 0, 0, 0, 1055, 1056, 3, 206, 103, 0, 1056, 1057, 5, 60, 0, 0, 1057, 1058, 3, 210, 105, 0, 1058, 1065, 1, 0, 0, 0, 1059, 1060, 3, 210, 105, 0, 1060, 1061, 5, 59, 0, 0, 1061, 1062, 3, 208, 104, 0, 1062, 1065, 1, 0, 0, 0, 1063, 1065, 3, 212, 106, 0, 1064, 1055, 1, 0, 0, 0, 1064, 1059, 1, 0, 0, 0, 1064, 1063, 1, 0, 0, 0, 1065, 205, 1, 0, 0, 0, 1066, 1067, 7, 12, 0, 0, 1067, 207, 1, 0, 0, 0, 1068, 1069, 7, 12, 0, 0, 1069, 209, 1, 0, 0, 0, 1070, 1071, 7, 12, 0, 0, 1071, 211, 1, 0, 0, 0, 1072, 1073, 7, 13, 0, 0, 1073, 213, 1, 0, 0, 0, 106, 217, 234, 245, 271, 286, 292, 301, 307, 320, 324, 329, 337, 351, 367, 375, 379, 386, 392, 397, 406, 413, 419, 428, 435, 443, 451, 455, 459, 464, 468, 479, 484, 488, 502, 513, 519, 526, 535, 544, 564, 572, 575, 582, 593, 600, 608, 622, 631, 642, 652, 658, 660, 664, 669, 683, 690, 709, 718, 727, 735, 740, 748, 750, 755, 762, 769, 778, 785, 794, 799, 804, 814, 820, 828, 830, 841, 848, 859, 864, 866, 873, 881, 884, 894, 911, 922, 933, 938, 944, 947, 952, 968, 973, 981, 988, 994, 1000, 1008, 1014, 1016, 1031, 1036, 1043, 1049, 1053, 1064] \ No newline at end of file +[4, 1, 158, 1074, 2, 0, 7, 0, 2, 1, 7, 1, 2, 2, 7, 2, 2, 3, 7, 3, 2, 4, 7, 4, 2, 5, 7, 5, 2, 6, 7, 6, 2, 7, 7, 7, 2, 8, 7, 8, 2, 9, 7, 9, 2, 10, 7, 10, 2, 11, 7, 11, 2, 12, 7, 12, 2, 13, 7, 13, 2, 14, 7, 14, 2, 15, 7, 15, 2, 16, 7, 16, 2, 17, 7, 17, 2, 18, 7, 18, 2, 19, 7, 19, 2, 20, 7, 20, 2, 21, 7, 21, 2, 22, 7, 22, 2, 23, 7, 23, 2, 24, 7, 24, 2, 25, 7, 25, 2, 26, 7, 26, 2, 27, 7, 27, 2, 28, 7, 28, 2, 29, 7, 29, 2, 30, 7, 30, 2, 31, 7, 31, 2, 32, 7, 32, 2, 33, 7, 33, 2, 34, 7, 34, 2, 35, 7, 35, 2, 36, 7, 36, 2, 37, 7, 37, 2, 38, 7, 38, 2, 39, 7, 39, 2, 40, 7, 40, 2, 41, 7, 41, 2, 42, 7, 42, 2, 43, 7, 43, 2, 44, 7, 44, 2, 45, 7, 45, 2, 46, 7, 46, 2, 47, 7, 47, 2, 48, 7, 48, 2, 49, 7, 49, 2, 50, 7, 50, 2, 51, 7, 51, 2, 52, 7, 52, 2, 53, 7, 53, 2, 54, 7, 54, 2, 55, 7, 55, 2, 56, 7, 56, 2, 57, 7, 57, 2, 58, 7, 58, 2, 59, 7, 59, 2, 60, 7, 60, 2, 61, 7, 61, 2, 62, 7, 62, 2, 63, 7, 63, 2, 64, 7, 64, 2, 65, 7, 65, 2, 66, 7, 66, 2, 67, 7, 67, 2, 68, 7, 68, 2, 69, 7, 69, 2, 70, 7, 70, 2, 71, 7, 71, 2, 72, 7, 72, 2, 73, 7, 73, 2, 74, 7, 74, 2, 75, 7, 75, 2, 76, 7, 76, 2, 77, 7, 77, 2, 78, 7, 78, 2, 79, 7, 79, 2, 80, 7, 80, 2, 81, 7, 81, 2, 82, 7, 82, 2, 83, 7, 83, 2, 84, 7, 84, 2, 85, 7, 85, 2, 86, 7, 86, 2, 87, 7, 87, 2, 88, 7, 88, 2, 89, 7, 89, 2, 90, 7, 90, 2, 91, 7, 91, 2, 92, 7, 92, 2, 93, 7, 93, 2, 94, 7, 94, 2, 95, 7, 95, 2, 96, 7, 96, 2, 97, 7, 97, 2, 98, 7, 98, 2, 99, 7, 99, 2, 100, 7, 100, 2, 101, 7, 101, 2, 102, 7, 102, 2, 103, 7, 103, 2, 104, 7, 104, 2, 105, 7, 105, 2, 106, 7, 106, 1, 0, 5, 0, 216, 8, 0, 10, 0, 12, 0, 219, 9, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 5, 2, 233, 8, 2, 10, 2, 12, 2, 236, 9, 2, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 3, 3, 245, 8, 3, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 3, 4, 271, 8, 4, 1, 5, 1, 5, 1, 5, 1, 6, 1, 6, 1, 7, 1, 7, 1, 7, 1, 8, 1, 8, 1, 8, 5, 8, 284, 8, 8, 10, 8, 12, 8, 287, 9, 8, 1, 9, 1, 9, 1, 9, 3, 9, 292, 8, 9, 1, 9, 1, 9, 1, 10, 1, 10, 1, 10, 5, 10, 299, 8, 10, 10, 10, 12, 10, 302, 9, 10, 1, 11, 1, 11, 1, 11, 3, 11, 307, 8, 11, 1, 12, 1, 12, 1, 12, 1, 13, 1, 13, 1, 13, 1, 14, 1, 14, 1, 14, 5, 14, 318, 8, 14, 10, 14, 12, 14, 321, 9, 14, 1, 14, 3, 14, 324, 8, 14, 1, 15, 1, 15, 1, 15, 3, 15, 329, 8, 15, 1, 16, 1, 16, 1, 16, 1, 16, 5, 16, 335, 8, 16, 10, 16, 12, 16, 338, 9, 16, 1, 16, 1, 16, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 1, 17, 3, 17, 351, 8, 17, 1, 18, 1, 18, 1, 19, 1, 19, 1, 20, 1, 20, 1, 21, 1, 21, 1, 22, 1, 22, 1, 22, 1, 22, 5, 22, 365, 8, 22, 10, 22, 12, 22, 368, 9, 22, 1, 23, 1, 23, 1, 23, 1, 24, 1, 24, 3, 24, 375, 8, 24, 1, 24, 1, 24, 3, 24, 379, 8, 24, 1, 25, 1, 25, 1, 25, 5, 25, 384, 8, 25, 10, 25, 12, 25, 387, 9, 25, 1, 26, 1, 26, 1, 26, 3, 26, 392, 8, 26, 1, 27, 1, 27, 1, 27, 3, 27, 397, 8, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 1, 27, 3, 27, 406, 8, 27, 1, 28, 1, 28, 1, 28, 5, 28, 411, 8, 28, 10, 28, 12, 28, 414, 9, 28, 1, 29, 1, 29, 1, 29, 3, 29, 419, 8, 29, 1, 29, 1, 29, 1, 29, 1, 29, 1, 29, 1, 29, 1, 29, 3, 29, 428, 8, 29, 1, 30, 1, 30, 1, 30, 5, 30, 433, 8, 30, 10, 30, 12, 30, 436, 9, 30, 1, 31, 1, 31, 1, 31, 5, 31, 441, 8, 31, 10, 31, 12, 31, 444, 9, 31, 1, 32, 1, 32, 1, 33, 1, 33, 1, 33, 3, 33, 451, 8, 33, 1, 34, 1, 34, 3, 34, 455, 8, 34, 1, 35, 1, 35, 3, 35, 459, 8, 35, 1, 36, 1, 36, 1, 36, 3, 36, 464, 8, 36, 1, 37, 1, 37, 3, 37, 468, 8, 37, 1, 38, 1, 38, 1, 38, 1, 39, 1, 39, 1, 39, 1, 39, 5, 39, 477, 8, 39, 10, 39, 12, 39, 480, 9, 39, 1, 40, 1, 40, 3, 40, 484, 8, 40, 1, 40, 1, 40, 3, 40, 488, 8, 40, 1, 41, 1, 41, 1, 41, 1, 42, 1, 42, 1, 42, 1, 43, 1, 43, 1, 43, 1, 43, 5, 43, 500, 8, 43, 10, 43, 12, 43, 503, 9, 43, 1, 44, 1, 44, 1, 44, 1, 44, 1, 44, 1, 44, 1, 44, 1, 44, 3, 44, 513, 8, 44, 1, 45, 1, 45, 1, 45, 1, 45, 3, 45, 519, 8, 45, 1, 46, 1, 46, 1, 46, 5, 46, 524, 8, 46, 10, 46, 12, 46, 527, 9, 46, 1, 47, 1, 47, 1, 47, 1, 47, 1, 48, 1, 48, 3, 48, 535, 8, 48, 1, 49, 1, 49, 1, 49, 1, 49, 1, 49, 5, 49, 542, 8, 49, 10, 49, 12, 49, 545, 9, 49, 1, 50, 1, 50, 1, 50, 1, 51, 1, 51, 1, 51, 1, 52, 1, 52, 1, 52, 1, 52, 1, 53, 1, 53, 1, 53, 1, 54, 1, 54, 1, 54, 1, 54, 3, 54, 564, 8, 54, 1, 54, 1, 54, 1, 54, 1, 54, 5, 54, 570, 8, 54, 10, 54, 12, 54, 573, 9, 54, 3, 54, 575, 8, 54, 1, 55, 1, 55, 1, 56, 1, 56, 1, 56, 3, 56, 582, 8, 56, 1, 56, 1, 56, 1, 57, 1, 57, 1, 57, 1, 58, 1, 58, 1, 58, 1, 58, 3, 58, 593, 8, 58, 1, 58, 1, 58, 1, 58, 1, 58, 1, 58, 3, 58, 600, 8, 58, 1, 59, 1, 59, 1, 59, 1, 60, 4, 60, 606, 8, 60, 11, 60, 12, 60, 607, 1, 61, 1, 61, 1, 61, 1, 61, 1, 62, 1, 62, 1, 62, 1, 62, 1, 62, 1, 62, 5, 62, 620, 8, 62, 10, 62, 12, 62, 623, 9, 62, 1, 63, 1, 63, 1, 64, 1, 64, 1, 64, 1, 64, 3, 64, 631, 8, 64, 1, 64, 1, 64, 1, 64, 1, 64, 1, 64, 1, 65, 1, 65, 1, 65, 1, 65, 3, 65, 642, 8, 65, 1, 65, 1, 65, 1, 65, 1, 66, 1, 66, 1, 66, 1, 66, 1, 66, 3, 66, 652, 8, 66, 1, 66, 1, 66, 1, 66, 1, 66, 3, 66, 658, 8, 66, 3, 66, 660, 8, 66, 1, 67, 1, 67, 3, 67, 664, 8, 67, 1, 67, 5, 67, 667, 8, 67, 10, 67, 12, 67, 670, 9, 67, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 1, 68, 3, 68, 683, 8, 68, 1, 69, 1, 69, 1, 69, 5, 69, 688, 8, 69, 10, 69, 12, 69, 691, 9, 69, 1, 70, 1, 70, 1, 70, 1, 70, 1, 70, 1, 71, 1, 71, 1, 71, 1, 72, 1, 72, 1, 72, 1, 72, 1, 73, 1, 73, 1, 73, 1, 73, 3, 73, 709, 8, 73, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 3, 74, 718, 8, 74, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 5, 74, 725, 8, 74, 10, 74, 12, 74, 728, 9, 74, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 3, 74, 735, 8, 74, 1, 74, 1, 74, 1, 74, 3, 74, 740, 8, 74, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 1, 74, 5, 74, 748, 8, 74, 10, 74, 12, 74, 751, 9, 74, 1, 75, 1, 75, 3, 75, 755, 8, 75, 1, 75, 1, 75, 1, 75, 1, 75, 1, 75, 3, 75, 762, 8, 75, 1, 75, 1, 75, 1, 75, 1, 75, 1, 75, 3, 75, 769, 8, 75, 1, 75, 1, 75, 1, 75, 1, 75, 1, 75, 5, 75, 776, 8, 75, 10, 75, 12, 75, 779, 9, 75, 1, 75, 1, 75, 1, 75, 1, 75, 3, 75, 785, 8, 75, 1, 75, 1, 75, 1, 75, 1, 75, 1, 75, 5, 75, 792, 8, 75, 10, 75, 12, 75, 795, 9, 75, 1, 75, 1, 75, 3, 75, 799, 8, 75, 1, 76, 1, 76, 1, 76, 3, 76, 804, 8, 76, 1, 76, 1, 76, 1, 76, 1, 77, 1, 77, 1, 77, 1, 77, 1, 77, 3, 77, 814, 8, 77, 1, 78, 1, 78, 1, 78, 1, 78, 3, 78, 820, 8, 78, 1, 78, 1, 78, 1, 78, 1, 78, 1, 78, 1, 78, 5, 78, 828, 8, 78, 10, 78, 12, 78, 831, 9, 78, 1, 79, 1, 79, 1, 79, 1, 79, 1, 79, 1, 79, 1, 79, 1, 79, 3, 79, 841, 8, 79, 1, 79, 1, 79, 1, 79, 5, 79, 846, 8, 79, 10, 79, 12, 79, 849, 9, 79, 1, 80, 1, 80, 1, 80, 1, 80, 1, 80, 1, 80, 5, 80, 857, 8, 80, 10, 80, 12, 80, 860, 9, 80, 1, 80, 1, 80, 3, 80, 864, 8, 80, 3, 80, 866, 8, 80, 1, 80, 1, 80, 1, 81, 1, 81, 1, 81, 3, 81, 873, 8, 81, 1, 82, 1, 82, 1, 82, 1, 82, 5, 82, 879, 8, 82, 10, 82, 12, 82, 882, 9, 82, 3, 82, 884, 8, 82, 1, 82, 1, 82, 1, 83, 1, 83, 1, 83, 1, 83, 1, 84, 1, 84, 3, 84, 894, 8, 84, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 5, 85, 909, 8, 85, 10, 85, 12, 85, 912, 9, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 5, 85, 920, 8, 85, 10, 85, 12, 85, 923, 9, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 1, 85, 5, 85, 931, 8, 85, 10, 85, 12, 85, 934, 9, 85, 1, 85, 1, 85, 3, 85, 938, 8, 85, 1, 86, 1, 86, 1, 87, 1, 87, 3, 87, 944, 8, 87, 1, 88, 3, 88, 947, 8, 88, 1, 88, 1, 88, 1, 89, 3, 89, 952, 8, 89, 1, 89, 1, 89, 1, 90, 1, 90, 1, 91, 1, 91, 1, 92, 1, 92, 1, 92, 1, 92, 1, 92, 1, 93, 1, 93, 1, 93, 3, 93, 968, 8, 93, 1, 93, 1, 93, 1, 93, 3, 93, 973, 8, 93, 1, 94, 1, 94, 1, 94, 1, 94, 5, 94, 979, 8, 94, 10, 94, 12, 94, 982, 9, 94, 1, 95, 1, 95, 5, 95, 986, 8, 95, 10, 95, 12, 95, 989, 9, 95, 1, 95, 1, 95, 1, 95, 3, 95, 994, 8, 95, 1, 95, 1, 95, 4, 95, 998, 8, 95, 11, 95, 12, 95, 999, 1, 95, 1, 95, 1, 95, 1, 95, 5, 95, 1006, 8, 95, 10, 95, 12, 95, 1009, 9, 95, 1, 95, 4, 95, 1012, 8, 95, 11, 95, 12, 95, 1013, 3, 95, 1016, 8, 95, 1, 96, 1, 96, 1, 97, 1, 97, 1, 97, 1, 97, 1, 98, 1, 98, 1, 99, 1, 99, 1, 99, 5, 99, 1029, 8, 99, 10, 99, 12, 99, 1032, 9, 99, 1, 99, 1, 99, 3, 99, 1036, 8, 99, 1, 100, 1, 100, 1, 101, 4, 101, 1041, 8, 101, 11, 101, 12, 101, 1042, 1, 101, 1, 101, 5, 101, 1047, 8, 101, 10, 101, 12, 101, 1050, 9, 101, 1, 101, 3, 101, 1053, 8, 101, 1, 102, 1, 102, 1, 102, 1, 102, 1, 102, 1, 102, 1, 102, 1, 102, 1, 102, 3, 102, 1064, 8, 102, 1, 103, 1, 103, 1, 104, 1, 104, 1, 105, 1, 105, 1, 106, 1, 106, 1, 106, 0, 5, 4, 124, 148, 156, 158, 107, 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140, 142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 194, 196, 198, 200, 202, 204, 206, 208, 210, 212, 0, 14, 2, 0, 52, 52, 107, 107, 1, 0, 101, 102, 2, 0, 56, 56, 63, 63, 2, 0, 66, 66, 69, 69, 2, 0, 41, 41, 52, 52, 1, 0, 87, 88, 1, 0, 89, 91, 2, 0, 65, 65, 78, 78, 2, 0, 80, 80, 82, 86, 2, 0, 24, 24, 26, 27, 3, 0, 52, 52, 95, 95, 101, 102, 8, 0, 52, 52, 57, 57, 59, 60, 62, 62, 95, 95, 101, 102, 107, 107, 145, 147, 2, 0, 101, 101, 107, 107, 3, 0, 52, 52, 101, 101, 107, 107, 1121, 0, 217, 1, 0, 0, 0, 2, 223, 1, 0, 0, 0, 4, 226, 1, 0, 0, 0, 6, 244, 1, 0, 0, 0, 8, 270, 1, 0, 0, 0, 10, 272, 1, 0, 0, 0, 12, 275, 1, 0, 0, 0, 14, 277, 1, 0, 0, 0, 16, 280, 1, 0, 0, 0, 18, 291, 1, 0, 0, 0, 20, 295, 1, 0, 0, 0, 22, 303, 1, 0, 0, 0, 24, 308, 1, 0, 0, 0, 26, 311, 1, 0, 0, 0, 28, 314, 1, 0, 0, 0, 30, 328, 1, 0, 0, 0, 32, 330, 1, 0, 0, 0, 34, 350, 1, 0, 0, 0, 36, 352, 1, 0, 0, 0, 38, 354, 1, 0, 0, 0, 40, 356, 1, 0, 0, 0, 42, 358, 1, 0, 0, 0, 44, 360, 1, 0, 0, 0, 46, 369, 1, 0, 0, 0, 48, 372, 1, 0, 0, 0, 50, 380, 1, 0, 0, 0, 52, 388, 1, 0, 0, 0, 54, 405, 1, 0, 0, 0, 56, 407, 1, 0, 0, 0, 58, 427, 1, 0, 0, 0, 60, 429, 1, 0, 0, 0, 62, 437, 1, 0, 0, 0, 64, 445, 1, 0, 0, 0, 66, 450, 1, 0, 0, 0, 68, 454, 1, 0, 0, 0, 70, 458, 1, 0, 0, 0, 72, 463, 1, 0, 0, 0, 74, 467, 1, 0, 0, 0, 76, 469, 1, 0, 0, 0, 78, 472, 1, 0, 0, 0, 80, 481, 1, 0, 0, 0, 82, 489, 1, 0, 0, 0, 84, 492, 1, 0, 0, 0, 86, 495, 1, 0, 0, 0, 88, 512, 1, 0, 0, 0, 90, 514, 1, 0, 0, 0, 92, 520, 1, 0, 0, 0, 94, 528, 1, 0, 0, 0, 96, 534, 1, 0, 0, 0, 98, 536, 1, 0, 0, 0, 100, 546, 1, 0, 0, 0, 102, 549, 1, 0, 0, 0, 104, 552, 1, 0, 0, 0, 106, 556, 1, 0, 0, 0, 108, 559, 1, 0, 0, 0, 110, 576, 1, 0, 0, 0, 112, 581, 1, 0, 0, 0, 114, 585, 1, 0, 0, 0, 116, 588, 1, 0, 0, 0, 118, 601, 1, 0, 0, 0, 120, 605, 1, 0, 0, 0, 122, 609, 1, 0, 0, 0, 124, 613, 1, 0, 0, 0, 126, 624, 1, 0, 0, 0, 128, 626, 1, 0, 0, 0, 130, 637, 1, 0, 0, 0, 132, 659, 1, 0, 0, 0, 134, 661, 1, 0, 0, 0, 136, 682, 1, 0, 0, 0, 138, 684, 1, 0, 0, 0, 140, 692, 1, 0, 0, 0, 142, 697, 1, 0, 0, 0, 144, 700, 1, 0, 0, 0, 146, 704, 1, 0, 0, 0, 148, 739, 1, 0, 0, 0, 150, 798, 1, 0, 0, 0, 152, 800, 1, 0, 0, 0, 154, 813, 1, 0, 0, 0, 156, 819, 1, 0, 0, 0, 158, 840, 1, 0, 0, 0, 160, 850, 1, 0, 0, 0, 162, 872, 1, 0, 0, 0, 164, 874, 1, 0, 0, 0, 166, 887, 1, 0, 0, 0, 168, 893, 1, 0, 0, 0, 170, 937, 1, 0, 0, 0, 172, 939, 1, 0, 0, 0, 174, 943, 1, 0, 0, 0, 176, 946, 1, 0, 0, 0, 178, 951, 1, 0, 0, 0, 180, 955, 1, 0, 0, 0, 182, 957, 1, 0, 0, 0, 184, 959, 1, 0, 0, 0, 186, 972, 1, 0, 0, 0, 188, 974, 1, 0, 0, 0, 190, 1015, 1, 0, 0, 0, 192, 1017, 1, 0, 0, 0, 194, 1019, 1, 0, 0, 0, 196, 1023, 1, 0, 0, 0, 198, 1035, 1, 0, 0, 0, 200, 1037, 1, 0, 0, 0, 202, 1052, 1, 0, 0, 0, 204, 1063, 1, 0, 0, 0, 206, 1065, 1, 0, 0, 0, 208, 1067, 1, 0, 0, 0, 210, 1069, 1, 0, 0, 0, 212, 1071, 1, 0, 0, 0, 214, 216, 3, 144, 72, 0, 215, 214, 1, 0, 0, 0, 216, 219, 1, 0, 0, 0, 217, 215, 1, 0, 0, 0, 217, 218, 1, 0, 0, 0, 218, 220, 1, 0, 0, 0, 219, 217, 1, 0, 0, 0, 220, 221, 3, 2, 1, 0, 221, 222, 5, 0, 0, 1, 222, 1, 1, 0, 0, 0, 223, 224, 3, 4, 2, 0, 224, 225, 5, 0, 0, 1, 225, 3, 1, 0, 0, 0, 226, 227, 6, 2, -1, 0, 227, 228, 3, 6, 3, 0, 228, 234, 1, 0, 0, 0, 229, 230, 10, 1, 0, 0, 230, 231, 5, 51, 0, 0, 231, 233, 3, 8, 4, 0, 232, 229, 1, 0, 0, 0, 233, 236, 1, 0, 0, 0, 234, 232, 1, 0, 0, 0, 234, 235, 1, 0, 0, 0, 235, 5, 1, 0, 0, 0, 236, 234, 1, 0, 0, 0, 237, 245, 3, 24, 12, 0, 238, 245, 3, 14, 7, 0, 239, 245, 3, 106, 53, 0, 240, 245, 3, 26, 13, 0, 241, 245, 3, 190, 95, 0, 242, 243, 4, 3, 1, 0, 243, 245, 3, 102, 51, 0, 244, 237, 1, 0, 0, 0, 244, 238, 1, 0, 0, 0, 244, 239, 1, 0, 0, 0, 244, 240, 1, 0, 0, 0, 244, 241, 1, 0, 0, 0, 244, 242, 1, 0, 0, 0, 245, 7, 1, 0, 0, 0, 246, 271, 3, 46, 23, 0, 247, 271, 3, 10, 5, 0, 248, 271, 3, 82, 41, 0, 249, 271, 3, 76, 38, 0, 250, 271, 3, 48, 24, 0, 251, 271, 3, 78, 39, 0, 252, 271, 3, 84, 42, 0, 253, 271, 3, 86, 43, 0, 254, 271, 3, 90, 45, 0, 255, 271, 3, 98, 49, 0, 256, 271, 3, 108, 54, 0, 257, 271, 3, 100, 50, 0, 258, 271, 3, 184, 92, 0, 259, 271, 3, 116, 58, 0, 260, 271, 3, 130, 65, 0, 261, 271, 3, 114, 57, 0, 262, 271, 3, 118, 59, 0, 263, 271, 3, 128, 64, 0, 264, 271, 3, 132, 66, 0, 265, 271, 3, 134, 67, 0, 266, 267, 4, 4, 2, 0, 267, 271, 3, 140, 70, 0, 268, 269, 4, 4, 3, 0, 269, 271, 3, 142, 71, 0, 270, 246, 1, 0, 0, 0, 270, 247, 1, 0, 0, 0, 270, 248, 1, 0, 0, 0, 270, 249, 1, 0, 0, 0, 270, 250, 1, 0, 0, 0, 270, 251, 1, 0, 0, 0, 270, 252, 1, 0, 0, 0, 270, 253, 1, 0, 0, 0, 270, 254, 1, 0, 0, 0, 270, 255, 1, 0, 0, 0, 270, 256, 1, 0, 0, 0, 270, 257, 1, 0, 0, 0, 270, 258, 1, 0, 0, 0, 270, 259, 1, 0, 0, 0, 270, 260, 1, 0, 0, 0, 270, 261, 1, 0, 0, 0, 270, 262, 1, 0, 0, 0, 270, 263, 1, 0, 0, 0, 270, 264, 1, 0, 0, 0, 270, 265, 1, 0, 0, 0, 270, 266, 1, 0, 0, 0, 270, 268, 1, 0, 0, 0, 271, 9, 1, 0, 0, 0, 272, 273, 5, 17, 0, 0, 273, 274, 3, 148, 74, 0, 274, 11, 1, 0, 0, 0, 275, 276, 3, 64, 32, 0, 276, 13, 1, 0, 0, 0, 277, 278, 5, 13, 0, 0, 278, 279, 3, 16, 8, 0, 279, 15, 1, 0, 0, 0, 280, 285, 3, 18, 9, 0, 281, 282, 5, 62, 0, 0, 282, 284, 3, 18, 9, 0, 283, 281, 1, 0, 0, 0, 284, 287, 1, 0, 0, 0, 285, 283, 1, 0, 0, 0, 285, 286, 1, 0, 0, 0, 286, 17, 1, 0, 0, 0, 287, 285, 1, 0, 0, 0, 288, 289, 3, 54, 27, 0, 289, 290, 5, 57, 0, 0, 290, 292, 1, 0, 0, 0, 291, 288, 1, 0, 0, 0, 291, 292, 1, 0, 0, 0, 292, 293, 1, 0, 0, 0, 293, 294, 3, 148, 74, 0, 294, 19, 1, 0, 0, 0, 295, 300, 3, 22, 11, 0, 296, 297, 5, 62, 0, 0, 297, 299, 3, 22, 11, 0, 298, 296, 1, 0, 0, 0, 299, 302, 1, 0, 0, 0, 300, 298, 1, 0, 0, 0, 300, 301, 1, 0, 0, 0, 301, 21, 1, 0, 0, 0, 302, 300, 1, 0, 0, 0, 303, 306, 3, 54, 27, 0, 304, 305, 5, 57, 0, 0, 305, 307, 3, 148, 74, 0, 306, 304, 1, 0, 0, 0, 306, 307, 1, 0, 0, 0, 307, 23, 1, 0, 0, 0, 308, 309, 5, 18, 0, 0, 309, 310, 3, 28, 14, 0, 310, 25, 1, 0, 0, 0, 311, 312, 5, 19, 0, 0, 312, 313, 3, 28, 14, 0, 313, 27, 1, 0, 0, 0, 314, 319, 3, 30, 15, 0, 315, 316, 5, 62, 0, 0, 316, 318, 3, 30, 15, 0, 317, 315, 1, 0, 0, 0, 318, 321, 1, 0, 0, 0, 319, 317, 1, 0, 0, 0, 319, 320, 1, 0, 0, 0, 320, 323, 1, 0, 0, 0, 321, 319, 1, 0, 0, 0, 322, 324, 3, 44, 22, 0, 323, 322, 1, 0, 0, 0, 323, 324, 1, 0, 0, 0, 324, 29, 1, 0, 0, 0, 325, 329, 3, 34, 17, 0, 326, 327, 4, 15, 4, 0, 327, 329, 3, 32, 16, 0, 328, 325, 1, 0, 0, 0, 328, 326, 1, 0, 0, 0, 329, 31, 1, 0, 0, 0, 330, 331, 5, 99, 0, 0, 331, 336, 3, 24, 12, 0, 332, 333, 5, 51, 0, 0, 333, 335, 3, 8, 4, 0, 334, 332, 1, 0, 0, 0, 335, 338, 1, 0, 0, 0, 336, 334, 1, 0, 0, 0, 336, 337, 1, 0, 0, 0, 337, 339, 1, 0, 0, 0, 338, 336, 1, 0, 0, 0, 339, 340, 5, 100, 0, 0, 340, 33, 1, 0, 0, 0, 341, 342, 3, 36, 18, 0, 342, 343, 5, 60, 0, 0, 343, 344, 3, 40, 20, 0, 344, 351, 1, 0, 0, 0, 345, 346, 3, 40, 20, 0, 346, 347, 5, 59, 0, 0, 347, 348, 3, 38, 19, 0, 348, 351, 1, 0, 0, 0, 349, 351, 3, 42, 21, 0, 350, 341, 1, 0, 0, 0, 350, 345, 1, 0, 0, 0, 350, 349, 1, 0, 0, 0, 351, 35, 1, 0, 0, 0, 352, 353, 5, 107, 0, 0, 353, 37, 1, 0, 0, 0, 354, 355, 5, 107, 0, 0, 355, 39, 1, 0, 0, 0, 356, 357, 5, 107, 0, 0, 357, 41, 1, 0, 0, 0, 358, 359, 7, 0, 0, 0, 359, 43, 1, 0, 0, 0, 360, 361, 5, 106, 0, 0, 361, 366, 5, 107, 0, 0, 362, 363, 5, 62, 0, 0, 363, 365, 5, 107, 0, 0, 364, 362, 1, 0, 0, 0, 365, 368, 1, 0, 0, 0, 366, 364, 1, 0, 0, 0, 366, 367, 1, 0, 0, 0, 367, 45, 1, 0, 0, 0, 368, 366, 1, 0, 0, 0, 369, 370, 5, 9, 0, 0, 370, 371, 3, 16, 8, 0, 371, 47, 1, 0, 0, 0, 372, 374, 5, 16, 0, 0, 373, 375, 3, 50, 25, 0, 374, 373, 1, 0, 0, 0, 374, 375, 1, 0, 0, 0, 375, 378, 1, 0, 0, 0, 376, 377, 5, 58, 0, 0, 377, 379, 3, 16, 8, 0, 378, 376, 1, 0, 0, 0, 378, 379, 1, 0, 0, 0, 379, 49, 1, 0, 0, 0, 380, 385, 3, 52, 26, 0, 381, 382, 5, 62, 0, 0, 382, 384, 3, 52, 26, 0, 383, 381, 1, 0, 0, 0, 384, 387, 1, 0, 0, 0, 385, 383, 1, 0, 0, 0, 385, 386, 1, 0, 0, 0, 386, 51, 1, 0, 0, 0, 387, 385, 1, 0, 0, 0, 388, 391, 3, 18, 9, 0, 389, 390, 5, 17, 0, 0, 390, 392, 3, 148, 74, 0, 391, 389, 1, 0, 0, 0, 391, 392, 1, 0, 0, 0, 392, 53, 1, 0, 0, 0, 393, 394, 4, 27, 5, 0, 394, 396, 5, 97, 0, 0, 395, 397, 5, 101, 0, 0, 396, 395, 1, 0, 0, 0, 396, 397, 1, 0, 0, 0, 397, 398, 1, 0, 0, 0, 398, 399, 5, 98, 0, 0, 399, 400, 5, 64, 0, 0, 400, 401, 5, 97, 0, 0, 401, 402, 3, 56, 28, 0, 402, 403, 5, 98, 0, 0, 403, 406, 1, 0, 0, 0, 404, 406, 3, 56, 28, 0, 405, 393, 1, 0, 0, 0, 405, 404, 1, 0, 0, 0, 406, 55, 1, 0, 0, 0, 407, 412, 3, 72, 36, 0, 408, 409, 5, 64, 0, 0, 409, 411, 3, 72, 36, 0, 410, 408, 1, 0, 0, 0, 411, 414, 1, 0, 0, 0, 412, 410, 1, 0, 0, 0, 412, 413, 1, 0, 0, 0, 413, 57, 1, 0, 0, 0, 414, 412, 1, 0, 0, 0, 415, 416, 4, 29, 6, 0, 416, 418, 5, 97, 0, 0, 417, 419, 5, 138, 0, 0, 418, 417, 1, 0, 0, 0, 418, 419, 1, 0, 0, 0, 419, 420, 1, 0, 0, 0, 420, 421, 5, 98, 0, 0, 421, 422, 5, 64, 0, 0, 422, 423, 5, 97, 0, 0, 423, 424, 3, 60, 30, 0, 424, 425, 5, 98, 0, 0, 425, 428, 1, 0, 0, 0, 426, 428, 3, 60, 30, 0, 427, 415, 1, 0, 0, 0, 427, 426, 1, 0, 0, 0, 428, 59, 1, 0, 0, 0, 429, 434, 3, 66, 33, 0, 430, 431, 5, 64, 0, 0, 431, 433, 3, 66, 33, 0, 432, 430, 1, 0, 0, 0, 433, 436, 1, 0, 0, 0, 434, 432, 1, 0, 0, 0, 434, 435, 1, 0, 0, 0, 435, 61, 1, 0, 0, 0, 436, 434, 1, 0, 0, 0, 437, 442, 3, 58, 29, 0, 438, 439, 5, 62, 0, 0, 439, 441, 3, 58, 29, 0, 440, 438, 1, 0, 0, 0, 441, 444, 1, 0, 0, 0, 442, 440, 1, 0, 0, 0, 442, 443, 1, 0, 0, 0, 443, 63, 1, 0, 0, 0, 444, 442, 1, 0, 0, 0, 445, 446, 7, 1, 0, 0, 446, 65, 1, 0, 0, 0, 447, 451, 5, 138, 0, 0, 448, 451, 3, 68, 34, 0, 449, 451, 3, 70, 35, 0, 450, 447, 1, 0, 0, 0, 450, 448, 1, 0, 0, 0, 450, 449, 1, 0, 0, 0, 451, 67, 1, 0, 0, 0, 452, 455, 5, 76, 0, 0, 453, 455, 5, 95, 0, 0, 454, 452, 1, 0, 0, 0, 454, 453, 1, 0, 0, 0, 455, 69, 1, 0, 0, 0, 456, 459, 5, 94, 0, 0, 457, 459, 5, 96, 0, 0, 458, 456, 1, 0, 0, 0, 458, 457, 1, 0, 0, 0, 459, 71, 1, 0, 0, 0, 460, 464, 3, 64, 32, 0, 461, 464, 3, 68, 34, 0, 462, 464, 3, 70, 35, 0, 463, 460, 1, 0, 0, 0, 463, 461, 1, 0, 0, 0, 463, 462, 1, 0, 0, 0, 464, 73, 1, 0, 0, 0, 465, 468, 3, 180, 90, 0, 466, 468, 3, 68, 34, 0, 467, 465, 1, 0, 0, 0, 467, 466, 1, 0, 0, 0, 468, 75, 1, 0, 0, 0, 469, 470, 5, 11, 0, 0, 470, 471, 3, 170, 85, 0, 471, 77, 1, 0, 0, 0, 472, 473, 5, 15, 0, 0, 473, 478, 3, 80, 40, 0, 474, 475, 5, 62, 0, 0, 475, 477, 3, 80, 40, 0, 476, 474, 1, 0, 0, 0, 477, 480, 1, 0, 0, 0, 478, 476, 1, 0, 0, 0, 478, 479, 1, 0, 0, 0, 479, 79, 1, 0, 0, 0, 480, 478, 1, 0, 0, 0, 481, 483, 3, 148, 74, 0, 482, 484, 7, 2, 0, 0, 483, 482, 1, 0, 0, 0, 483, 484, 1, 0, 0, 0, 484, 487, 1, 0, 0, 0, 485, 486, 5, 73, 0, 0, 486, 488, 7, 3, 0, 0, 487, 485, 1, 0, 0, 0, 487, 488, 1, 0, 0, 0, 488, 81, 1, 0, 0, 0, 489, 490, 5, 31, 0, 0, 490, 491, 3, 62, 31, 0, 491, 83, 1, 0, 0, 0, 492, 493, 5, 30, 0, 0, 493, 494, 3, 62, 31, 0, 494, 85, 1, 0, 0, 0, 495, 496, 5, 34, 0, 0, 496, 501, 3, 88, 44, 0, 497, 498, 5, 62, 0, 0, 498, 500, 3, 88, 44, 0, 499, 497, 1, 0, 0, 0, 500, 503, 1, 0, 0, 0, 501, 499, 1, 0, 0, 0, 501, 502, 1, 0, 0, 0, 502, 87, 1, 0, 0, 0, 503, 501, 1, 0, 0, 0, 504, 505, 3, 58, 29, 0, 505, 506, 5, 148, 0, 0, 506, 507, 3, 58, 29, 0, 507, 513, 1, 0, 0, 0, 508, 509, 3, 58, 29, 0, 509, 510, 5, 57, 0, 0, 510, 511, 3, 58, 29, 0, 511, 513, 1, 0, 0, 0, 512, 504, 1, 0, 0, 0, 512, 508, 1, 0, 0, 0, 513, 89, 1, 0, 0, 0, 514, 515, 5, 8, 0, 0, 515, 516, 3, 158, 79, 0, 516, 518, 3, 180, 90, 0, 517, 519, 3, 92, 46, 0, 518, 517, 1, 0, 0, 0, 518, 519, 1, 0, 0, 0, 519, 91, 1, 0, 0, 0, 520, 525, 3, 94, 47, 0, 521, 522, 5, 62, 0, 0, 522, 524, 3, 94, 47, 0, 523, 521, 1, 0, 0, 0, 524, 527, 1, 0, 0, 0, 525, 523, 1, 0, 0, 0, 525, 526, 1, 0, 0, 0, 526, 93, 1, 0, 0, 0, 527, 525, 1, 0, 0, 0, 528, 529, 3, 64, 32, 0, 529, 530, 5, 57, 0, 0, 530, 531, 3, 170, 85, 0, 531, 95, 1, 0, 0, 0, 532, 533, 5, 79, 0, 0, 533, 535, 3, 164, 82, 0, 534, 532, 1, 0, 0, 0, 534, 535, 1, 0, 0, 0, 535, 97, 1, 0, 0, 0, 536, 537, 5, 10, 0, 0, 537, 538, 3, 158, 79, 0, 538, 543, 3, 180, 90, 0, 539, 540, 5, 62, 0, 0, 540, 542, 3, 180, 90, 0, 541, 539, 1, 0, 0, 0, 542, 545, 1, 0, 0, 0, 543, 541, 1, 0, 0, 0, 543, 544, 1, 0, 0, 0, 544, 99, 1, 0, 0, 0, 545, 543, 1, 0, 0, 0, 546, 547, 5, 29, 0, 0, 547, 548, 3, 54, 27, 0, 548, 101, 1, 0, 0, 0, 549, 550, 5, 6, 0, 0, 550, 551, 3, 104, 52, 0, 551, 103, 1, 0, 0, 0, 552, 553, 5, 99, 0, 0, 553, 554, 3, 4, 2, 0, 554, 555, 5, 100, 0, 0, 555, 105, 1, 0, 0, 0, 556, 557, 5, 36, 0, 0, 557, 558, 5, 155, 0, 0, 558, 107, 1, 0, 0, 0, 559, 560, 5, 5, 0, 0, 560, 563, 3, 110, 55, 0, 561, 562, 5, 74, 0, 0, 562, 564, 3, 58, 29, 0, 563, 561, 1, 0, 0, 0, 563, 564, 1, 0, 0, 0, 564, 574, 1, 0, 0, 0, 565, 566, 5, 79, 0, 0, 566, 571, 3, 112, 56, 0, 567, 568, 5, 62, 0, 0, 568, 570, 3, 112, 56, 0, 569, 567, 1, 0, 0, 0, 570, 573, 1, 0, 0, 0, 571, 569, 1, 0, 0, 0, 571, 572, 1, 0, 0, 0, 572, 575, 1, 0, 0, 0, 573, 571, 1, 0, 0, 0, 574, 565, 1, 0, 0, 0, 574, 575, 1, 0, 0, 0, 575, 109, 1, 0, 0, 0, 576, 577, 7, 4, 0, 0, 577, 111, 1, 0, 0, 0, 578, 579, 3, 58, 29, 0, 579, 580, 5, 57, 0, 0, 580, 582, 1, 0, 0, 0, 581, 578, 1, 0, 0, 0, 581, 582, 1, 0, 0, 0, 582, 583, 1, 0, 0, 0, 583, 584, 3, 58, 29, 0, 584, 113, 1, 0, 0, 0, 585, 586, 5, 14, 0, 0, 586, 587, 3, 170, 85, 0, 587, 115, 1, 0, 0, 0, 588, 589, 5, 4, 0, 0, 589, 592, 3, 54, 27, 0, 590, 591, 5, 74, 0, 0, 591, 593, 3, 54, 27, 0, 592, 590, 1, 0, 0, 0, 592, 593, 1, 0, 0, 0, 593, 599, 1, 0, 0, 0, 594, 595, 5, 148, 0, 0, 595, 596, 3, 54, 27, 0, 596, 597, 5, 62, 0, 0, 597, 598, 3, 54, 27, 0, 598, 600, 1, 0, 0, 0, 599, 594, 1, 0, 0, 0, 599, 600, 1, 0, 0, 0, 600, 117, 1, 0, 0, 0, 601, 602, 5, 20, 0, 0, 602, 603, 3, 120, 60, 0, 603, 119, 1, 0, 0, 0, 604, 606, 3, 122, 61, 0, 605, 604, 1, 0, 0, 0, 606, 607, 1, 0, 0, 0, 607, 605, 1, 0, 0, 0, 607, 608, 1, 0, 0, 0, 608, 121, 1, 0, 0, 0, 609, 610, 5, 99, 0, 0, 610, 611, 3, 124, 62, 0, 611, 612, 5, 100, 0, 0, 612, 123, 1, 0, 0, 0, 613, 614, 6, 62, -1, 0, 614, 615, 3, 126, 63, 0, 615, 621, 1, 0, 0, 0, 616, 617, 10, 1, 0, 0, 617, 618, 5, 51, 0, 0, 618, 620, 3, 126, 63, 0, 619, 616, 1, 0, 0, 0, 620, 623, 1, 0, 0, 0, 621, 619, 1, 0, 0, 0, 621, 622, 1, 0, 0, 0, 622, 125, 1, 0, 0, 0, 623, 621, 1, 0, 0, 0, 624, 625, 3, 8, 4, 0, 625, 127, 1, 0, 0, 0, 626, 630, 5, 12, 0, 0, 627, 628, 3, 54, 27, 0, 628, 629, 5, 57, 0, 0, 629, 631, 1, 0, 0, 0, 630, 627, 1, 0, 0, 0, 630, 631, 1, 0, 0, 0, 631, 632, 1, 0, 0, 0, 632, 633, 3, 170, 85, 0, 633, 634, 5, 74, 0, 0, 634, 635, 3, 20, 10, 0, 635, 636, 3, 96, 48, 0, 636, 129, 1, 0, 0, 0, 637, 641, 5, 7, 0, 0, 638, 639, 3, 54, 27, 0, 639, 640, 5, 57, 0, 0, 640, 642, 1, 0, 0, 0, 641, 638, 1, 0, 0, 0, 641, 642, 1, 0, 0, 0, 642, 643, 1, 0, 0, 0, 643, 644, 3, 158, 79, 0, 644, 645, 3, 96, 48, 0, 645, 131, 1, 0, 0, 0, 646, 647, 5, 22, 0, 0, 647, 648, 5, 120, 0, 0, 648, 651, 3, 50, 25, 0, 649, 650, 5, 58, 0, 0, 650, 652, 3, 16, 8, 0, 651, 649, 1, 0, 0, 0, 651, 652, 1, 0, 0, 0, 652, 660, 1, 0, 0, 0, 653, 654, 5, 23, 0, 0, 654, 657, 3, 50, 25, 0, 655, 656, 5, 58, 0, 0, 656, 658, 3, 16, 8, 0, 657, 655, 1, 0, 0, 0, 657, 658, 1, 0, 0, 0, 658, 660, 1, 0, 0, 0, 659, 646, 1, 0, 0, 0, 659, 653, 1, 0, 0, 0, 660, 133, 1, 0, 0, 0, 661, 663, 5, 21, 0, 0, 662, 664, 3, 64, 32, 0, 663, 662, 1, 0, 0, 0, 663, 664, 1, 0, 0, 0, 664, 668, 1, 0, 0, 0, 665, 667, 3, 136, 68, 0, 666, 665, 1, 0, 0, 0, 667, 670, 1, 0, 0, 0, 668, 666, 1, 0, 0, 0, 668, 669, 1, 0, 0, 0, 669, 135, 1, 0, 0, 0, 670, 668, 1, 0, 0, 0, 671, 672, 5, 115, 0, 0, 672, 673, 5, 58, 0, 0, 673, 683, 3, 54, 27, 0, 674, 675, 5, 116, 0, 0, 675, 676, 5, 58, 0, 0, 676, 683, 3, 138, 69, 0, 677, 678, 5, 114, 0, 0, 678, 679, 5, 58, 0, 0, 679, 683, 3, 54, 27, 0, 680, 681, 5, 79, 0, 0, 681, 683, 3, 164, 82, 0, 682, 671, 1, 0, 0, 0, 682, 674, 1, 0, 0, 0, 682, 677, 1, 0, 0, 0, 682, 680, 1, 0, 0, 0, 683, 137, 1, 0, 0, 0, 684, 689, 3, 54, 27, 0, 685, 686, 5, 62, 0, 0, 686, 688, 3, 54, 27, 0, 687, 685, 1, 0, 0, 0, 688, 691, 1, 0, 0, 0, 689, 687, 1, 0, 0, 0, 689, 690, 1, 0, 0, 0, 690, 139, 1, 0, 0, 0, 691, 689, 1, 0, 0, 0, 692, 693, 5, 28, 0, 0, 693, 694, 3, 34, 17, 0, 694, 695, 5, 74, 0, 0, 695, 696, 3, 62, 31, 0, 696, 141, 1, 0, 0, 0, 697, 698, 5, 32, 0, 0, 698, 699, 3, 62, 31, 0, 699, 143, 1, 0, 0, 0, 700, 701, 5, 35, 0, 0, 701, 702, 3, 146, 73, 0, 702, 703, 5, 61, 0, 0, 703, 145, 1, 0, 0, 0, 704, 705, 3, 64, 32, 0, 705, 708, 5, 57, 0, 0, 706, 709, 3, 170, 85, 0, 707, 709, 3, 164, 82, 0, 708, 706, 1, 0, 0, 0, 708, 707, 1, 0, 0, 0, 709, 147, 1, 0, 0, 0, 710, 711, 6, 74, -1, 0, 711, 712, 5, 71, 0, 0, 712, 740, 3, 148, 74, 8, 713, 740, 3, 154, 77, 0, 714, 740, 3, 150, 75, 0, 715, 717, 3, 154, 77, 0, 716, 718, 5, 71, 0, 0, 717, 716, 1, 0, 0, 0, 717, 718, 1, 0, 0, 0, 718, 719, 1, 0, 0, 0, 719, 720, 5, 67, 0, 0, 720, 721, 5, 99, 0, 0, 721, 726, 3, 154, 77, 0, 722, 723, 5, 62, 0, 0, 723, 725, 3, 154, 77, 0, 724, 722, 1, 0, 0, 0, 725, 728, 1, 0, 0, 0, 726, 724, 1, 0, 0, 0, 726, 727, 1, 0, 0, 0, 727, 729, 1, 0, 0, 0, 728, 726, 1, 0, 0, 0, 729, 730, 5, 100, 0, 0, 730, 740, 1, 0, 0, 0, 731, 732, 3, 154, 77, 0, 732, 734, 5, 68, 0, 0, 733, 735, 5, 71, 0, 0, 734, 733, 1, 0, 0, 0, 734, 735, 1, 0, 0, 0, 735, 736, 1, 0, 0, 0, 736, 737, 5, 72, 0, 0, 737, 740, 1, 0, 0, 0, 738, 740, 3, 152, 76, 0, 739, 710, 1, 0, 0, 0, 739, 713, 1, 0, 0, 0, 739, 714, 1, 0, 0, 0, 739, 715, 1, 0, 0, 0, 739, 731, 1, 0, 0, 0, 739, 738, 1, 0, 0, 0, 740, 749, 1, 0, 0, 0, 741, 742, 10, 5, 0, 0, 742, 743, 5, 55, 0, 0, 743, 748, 3, 148, 74, 6, 744, 745, 10, 4, 0, 0, 745, 746, 5, 75, 0, 0, 746, 748, 3, 148, 74, 5, 747, 741, 1, 0, 0, 0, 747, 744, 1, 0, 0, 0, 748, 751, 1, 0, 0, 0, 749, 747, 1, 0, 0, 0, 749, 750, 1, 0, 0, 0, 750, 149, 1, 0, 0, 0, 751, 749, 1, 0, 0, 0, 752, 754, 3, 154, 77, 0, 753, 755, 5, 71, 0, 0, 754, 753, 1, 0, 0, 0, 754, 755, 1, 0, 0, 0, 755, 756, 1, 0, 0, 0, 756, 757, 5, 70, 0, 0, 757, 758, 3, 74, 37, 0, 758, 799, 1, 0, 0, 0, 759, 761, 3, 154, 77, 0, 760, 762, 5, 71, 0, 0, 761, 760, 1, 0, 0, 0, 761, 762, 1, 0, 0, 0, 762, 763, 1, 0, 0, 0, 763, 764, 5, 77, 0, 0, 764, 765, 3, 74, 37, 0, 765, 799, 1, 0, 0, 0, 766, 768, 3, 154, 77, 0, 767, 769, 5, 71, 0, 0, 768, 767, 1, 0, 0, 0, 768, 769, 1, 0, 0, 0, 769, 770, 1, 0, 0, 0, 770, 771, 5, 70, 0, 0, 771, 772, 5, 99, 0, 0, 772, 777, 3, 74, 37, 0, 773, 774, 5, 62, 0, 0, 774, 776, 3, 74, 37, 0, 775, 773, 1, 0, 0, 0, 776, 779, 1, 0, 0, 0, 777, 775, 1, 0, 0, 0, 777, 778, 1, 0, 0, 0, 778, 780, 1, 0, 0, 0, 779, 777, 1, 0, 0, 0, 780, 781, 5, 100, 0, 0, 781, 799, 1, 0, 0, 0, 782, 784, 3, 154, 77, 0, 783, 785, 5, 71, 0, 0, 784, 783, 1, 0, 0, 0, 784, 785, 1, 0, 0, 0, 785, 786, 1, 0, 0, 0, 786, 787, 5, 77, 0, 0, 787, 788, 5, 99, 0, 0, 788, 793, 3, 74, 37, 0, 789, 790, 5, 62, 0, 0, 790, 792, 3, 74, 37, 0, 791, 789, 1, 0, 0, 0, 792, 795, 1, 0, 0, 0, 793, 791, 1, 0, 0, 0, 793, 794, 1, 0, 0, 0, 794, 796, 1, 0, 0, 0, 795, 793, 1, 0, 0, 0, 796, 797, 5, 100, 0, 0, 797, 799, 1, 0, 0, 0, 798, 752, 1, 0, 0, 0, 798, 759, 1, 0, 0, 0, 798, 766, 1, 0, 0, 0, 798, 782, 1, 0, 0, 0, 799, 151, 1, 0, 0, 0, 800, 803, 3, 54, 27, 0, 801, 802, 5, 59, 0, 0, 802, 804, 3, 12, 6, 0, 803, 801, 1, 0, 0, 0, 803, 804, 1, 0, 0, 0, 804, 805, 1, 0, 0, 0, 805, 806, 5, 60, 0, 0, 806, 807, 3, 170, 85, 0, 807, 153, 1, 0, 0, 0, 808, 814, 3, 156, 78, 0, 809, 810, 3, 156, 78, 0, 810, 811, 3, 182, 91, 0, 811, 812, 3, 156, 78, 0, 812, 814, 1, 0, 0, 0, 813, 808, 1, 0, 0, 0, 813, 809, 1, 0, 0, 0, 814, 155, 1, 0, 0, 0, 815, 816, 6, 78, -1, 0, 816, 820, 3, 158, 79, 0, 817, 818, 7, 5, 0, 0, 818, 820, 3, 156, 78, 3, 819, 815, 1, 0, 0, 0, 819, 817, 1, 0, 0, 0, 820, 829, 1, 0, 0, 0, 821, 822, 10, 2, 0, 0, 822, 823, 7, 6, 0, 0, 823, 828, 3, 156, 78, 3, 824, 825, 10, 1, 0, 0, 825, 826, 7, 5, 0, 0, 826, 828, 3, 156, 78, 2, 827, 821, 1, 0, 0, 0, 827, 824, 1, 0, 0, 0, 828, 831, 1, 0, 0, 0, 829, 827, 1, 0, 0, 0, 829, 830, 1, 0, 0, 0, 830, 157, 1, 0, 0, 0, 831, 829, 1, 0, 0, 0, 832, 833, 6, 79, -1, 0, 833, 841, 3, 170, 85, 0, 834, 841, 3, 54, 27, 0, 835, 841, 3, 160, 80, 0, 836, 837, 5, 99, 0, 0, 837, 838, 3, 148, 74, 0, 838, 839, 5, 100, 0, 0, 839, 841, 1, 0, 0, 0, 840, 832, 1, 0, 0, 0, 840, 834, 1, 0, 0, 0, 840, 835, 1, 0, 0, 0, 840, 836, 1, 0, 0, 0, 841, 847, 1, 0, 0, 0, 842, 843, 10, 1, 0, 0, 843, 844, 5, 59, 0, 0, 844, 846, 3, 12, 6, 0, 845, 842, 1, 0, 0, 0, 846, 849, 1, 0, 0, 0, 847, 845, 1, 0, 0, 0, 847, 848, 1, 0, 0, 0, 848, 159, 1, 0, 0, 0, 849, 847, 1, 0, 0, 0, 850, 851, 3, 162, 81, 0, 851, 865, 5, 99, 0, 0, 852, 866, 5, 89, 0, 0, 853, 858, 3, 148, 74, 0, 854, 855, 5, 62, 0, 0, 855, 857, 3, 148, 74, 0, 856, 854, 1, 0, 0, 0, 857, 860, 1, 0, 0, 0, 858, 856, 1, 0, 0, 0, 858, 859, 1, 0, 0, 0, 859, 863, 1, 0, 0, 0, 860, 858, 1, 0, 0, 0, 861, 862, 5, 62, 0, 0, 862, 864, 3, 164, 82, 0, 863, 861, 1, 0, 0, 0, 863, 864, 1, 0, 0, 0, 864, 866, 1, 0, 0, 0, 865, 852, 1, 0, 0, 0, 865, 853, 1, 0, 0, 0, 865, 866, 1, 0, 0, 0, 866, 867, 1, 0, 0, 0, 867, 868, 5, 100, 0, 0, 868, 161, 1, 0, 0, 0, 869, 873, 3, 72, 36, 0, 870, 873, 5, 66, 0, 0, 871, 873, 5, 69, 0, 0, 872, 869, 1, 0, 0, 0, 872, 870, 1, 0, 0, 0, 872, 871, 1, 0, 0, 0, 873, 163, 1, 0, 0, 0, 874, 883, 5, 92, 0, 0, 875, 880, 3, 166, 83, 0, 876, 877, 5, 62, 0, 0, 877, 879, 3, 166, 83, 0, 878, 876, 1, 0, 0, 0, 879, 882, 1, 0, 0, 0, 880, 878, 1, 0, 0, 0, 880, 881, 1, 0, 0, 0, 881, 884, 1, 0, 0, 0, 882, 880, 1, 0, 0, 0, 883, 875, 1, 0, 0, 0, 883, 884, 1, 0, 0, 0, 884, 885, 1, 0, 0, 0, 885, 886, 5, 93, 0, 0, 886, 165, 1, 0, 0, 0, 887, 888, 3, 180, 90, 0, 888, 889, 5, 60, 0, 0, 889, 890, 3, 168, 84, 0, 890, 167, 1, 0, 0, 0, 891, 894, 3, 170, 85, 0, 892, 894, 3, 164, 82, 0, 893, 891, 1, 0, 0, 0, 893, 892, 1, 0, 0, 0, 894, 169, 1, 0, 0, 0, 895, 938, 5, 72, 0, 0, 896, 897, 3, 178, 89, 0, 897, 898, 5, 101, 0, 0, 898, 938, 1, 0, 0, 0, 899, 938, 3, 176, 88, 0, 900, 938, 3, 178, 89, 0, 901, 938, 3, 172, 86, 0, 902, 938, 3, 68, 34, 0, 903, 938, 3, 180, 90, 0, 904, 905, 5, 97, 0, 0, 905, 910, 3, 174, 87, 0, 906, 907, 5, 62, 0, 0, 907, 909, 3, 174, 87, 0, 908, 906, 1, 0, 0, 0, 909, 912, 1, 0, 0, 0, 910, 908, 1, 0, 0, 0, 910, 911, 1, 0, 0, 0, 911, 913, 1, 0, 0, 0, 912, 910, 1, 0, 0, 0, 913, 914, 5, 98, 0, 0, 914, 938, 1, 0, 0, 0, 915, 916, 5, 97, 0, 0, 916, 921, 3, 172, 86, 0, 917, 918, 5, 62, 0, 0, 918, 920, 3, 172, 86, 0, 919, 917, 1, 0, 0, 0, 920, 923, 1, 0, 0, 0, 921, 919, 1, 0, 0, 0, 921, 922, 1, 0, 0, 0, 922, 924, 1, 0, 0, 0, 923, 921, 1, 0, 0, 0, 924, 925, 5, 98, 0, 0, 925, 938, 1, 0, 0, 0, 926, 927, 5, 97, 0, 0, 927, 932, 3, 180, 90, 0, 928, 929, 5, 62, 0, 0, 929, 931, 3, 180, 90, 0, 930, 928, 1, 0, 0, 0, 931, 934, 1, 0, 0, 0, 932, 930, 1, 0, 0, 0, 932, 933, 1, 0, 0, 0, 933, 935, 1, 0, 0, 0, 934, 932, 1, 0, 0, 0, 935, 936, 5, 98, 0, 0, 936, 938, 1, 0, 0, 0, 937, 895, 1, 0, 0, 0, 937, 896, 1, 0, 0, 0, 937, 899, 1, 0, 0, 0, 937, 900, 1, 0, 0, 0, 937, 901, 1, 0, 0, 0, 937, 902, 1, 0, 0, 0, 937, 903, 1, 0, 0, 0, 937, 904, 1, 0, 0, 0, 937, 915, 1, 0, 0, 0, 937, 926, 1, 0, 0, 0, 938, 171, 1, 0, 0, 0, 939, 940, 7, 7, 0, 0, 940, 173, 1, 0, 0, 0, 941, 944, 3, 176, 88, 0, 942, 944, 3, 178, 89, 0, 943, 941, 1, 0, 0, 0, 943, 942, 1, 0, 0, 0, 944, 175, 1, 0, 0, 0, 945, 947, 7, 5, 0, 0, 946, 945, 1, 0, 0, 0, 946, 947, 1, 0, 0, 0, 947, 948, 1, 0, 0, 0, 948, 949, 5, 54, 0, 0, 949, 177, 1, 0, 0, 0, 950, 952, 7, 5, 0, 0, 951, 950, 1, 0, 0, 0, 951, 952, 1, 0, 0, 0, 952, 953, 1, 0, 0, 0, 953, 954, 5, 53, 0, 0, 954, 179, 1, 0, 0, 0, 955, 956, 5, 52, 0, 0, 956, 181, 1, 0, 0, 0, 957, 958, 7, 8, 0, 0, 958, 183, 1, 0, 0, 0, 959, 960, 7, 9, 0, 0, 960, 961, 5, 124, 0, 0, 961, 962, 3, 186, 93, 0, 962, 963, 3, 188, 94, 0, 963, 185, 1, 0, 0, 0, 964, 965, 4, 93, 13, 0, 965, 967, 3, 34, 17, 0, 966, 968, 5, 148, 0, 0, 967, 966, 1, 0, 0, 0, 967, 968, 1, 0, 0, 0, 968, 969, 1, 0, 0, 0, 969, 970, 5, 107, 0, 0, 970, 973, 1, 0, 0, 0, 971, 973, 3, 34, 17, 0, 972, 964, 1, 0, 0, 0, 972, 971, 1, 0, 0, 0, 973, 187, 1, 0, 0, 0, 974, 975, 5, 74, 0, 0, 975, 980, 3, 148, 74, 0, 976, 977, 5, 62, 0, 0, 977, 979, 3, 148, 74, 0, 978, 976, 1, 0, 0, 0, 979, 982, 1, 0, 0, 0, 980, 978, 1, 0, 0, 0, 980, 981, 1, 0, 0, 0, 981, 189, 1, 0, 0, 0, 982, 980, 1, 0, 0, 0, 983, 987, 5, 33, 0, 0, 984, 986, 3, 194, 97, 0, 985, 984, 1, 0, 0, 0, 986, 989, 1, 0, 0, 0, 987, 985, 1, 0, 0, 0, 987, 988, 1, 0, 0, 0, 988, 993, 1, 0, 0, 0, 989, 987, 1, 0, 0, 0, 990, 991, 3, 192, 96, 0, 991, 992, 5, 57, 0, 0, 992, 994, 1, 0, 0, 0, 993, 990, 1, 0, 0, 0, 993, 994, 1, 0, 0, 0, 994, 995, 1, 0, 0, 0, 995, 997, 5, 99, 0, 0, 996, 998, 3, 202, 101, 0, 997, 996, 1, 0, 0, 0, 998, 999, 1, 0, 0, 0, 999, 997, 1, 0, 0, 0, 999, 1000, 1, 0, 0, 0, 1000, 1001, 1, 0, 0, 0, 1001, 1002, 5, 100, 0, 0, 1002, 1016, 1, 0, 0, 0, 1003, 1007, 5, 33, 0, 0, 1004, 1006, 3, 194, 97, 0, 1005, 1004, 1, 0, 0, 0, 1006, 1009, 1, 0, 0, 0, 1007, 1005, 1, 0, 0, 0, 1007, 1008, 1, 0, 0, 0, 1008, 1011, 1, 0, 0, 0, 1009, 1007, 1, 0, 0, 0, 1010, 1012, 3, 202, 101, 0, 1011, 1010, 1, 0, 0, 0, 1012, 1013, 1, 0, 0, 0, 1013, 1011, 1, 0, 0, 0, 1013, 1014, 1, 0, 0, 0, 1014, 1016, 1, 0, 0, 0, 1015, 983, 1, 0, 0, 0, 1015, 1003, 1, 0, 0, 0, 1016, 191, 1, 0, 0, 0, 1017, 1018, 7, 1, 0, 0, 1018, 193, 1, 0, 0, 0, 1019, 1020, 3, 196, 98, 0, 1020, 1021, 5, 57, 0, 0, 1021, 1022, 3, 198, 99, 0, 1022, 195, 1, 0, 0, 0, 1023, 1024, 7, 10, 0, 0, 1024, 197, 1, 0, 0, 0, 1025, 1030, 3, 204, 102, 0, 1026, 1027, 5, 62, 0, 0, 1027, 1029, 3, 204, 102, 0, 1028, 1026, 1, 0, 0, 0, 1029, 1032, 1, 0, 0, 0, 1030, 1028, 1, 0, 0, 0, 1030, 1031, 1, 0, 0, 0, 1031, 1036, 1, 0, 0, 0, 1032, 1030, 1, 0, 0, 0, 1033, 1036, 5, 102, 0, 0, 1034, 1036, 5, 95, 0, 0, 1035, 1025, 1, 0, 0, 0, 1035, 1033, 1, 0, 0, 0, 1035, 1034, 1, 0, 0, 0, 1036, 199, 1, 0, 0, 0, 1037, 1038, 7, 11, 0, 0, 1038, 201, 1, 0, 0, 0, 1039, 1041, 3, 200, 100, 0, 1040, 1039, 1, 0, 0, 0, 1041, 1042, 1, 0, 0, 0, 1042, 1040, 1, 0, 0, 0, 1042, 1043, 1, 0, 0, 0, 1043, 1053, 1, 0, 0, 0, 1044, 1048, 5, 99, 0, 0, 1045, 1047, 3, 202, 101, 0, 1046, 1045, 1, 0, 0, 0, 1047, 1050, 1, 0, 0, 0, 1048, 1046, 1, 0, 0, 0, 1048, 1049, 1, 0, 0, 0, 1049, 1051, 1, 0, 0, 0, 1050, 1048, 1, 0, 0, 0, 1051, 1053, 5, 100, 0, 0, 1052, 1040, 1, 0, 0, 0, 1052, 1044, 1, 0, 0, 0, 1053, 203, 1, 0, 0, 0, 1054, 1055, 3, 206, 103, 0, 1055, 1056, 5, 60, 0, 0, 1056, 1057, 3, 210, 105, 0, 1057, 1064, 1, 0, 0, 0, 1058, 1059, 3, 210, 105, 0, 1059, 1060, 5, 59, 0, 0, 1060, 1061, 3, 208, 104, 0, 1061, 1064, 1, 0, 0, 0, 1062, 1064, 3, 212, 106, 0, 1063, 1054, 1, 0, 0, 0, 1063, 1058, 1, 0, 0, 0, 1063, 1062, 1, 0, 0, 0, 1064, 205, 1, 0, 0, 0, 1065, 1066, 7, 12, 0, 0, 1066, 207, 1, 0, 0, 0, 1067, 1068, 7, 12, 0, 0, 1068, 209, 1, 0, 0, 0, 1069, 1070, 7, 12, 0, 0, 1070, 211, 1, 0, 0, 0, 1071, 1072, 7, 13, 0, 0, 1072, 213, 1, 0, 0, 0, 106, 217, 234, 244, 270, 285, 291, 300, 306, 319, 323, 328, 336, 350, 366, 374, 378, 385, 391, 396, 405, 412, 418, 427, 434, 442, 450, 454, 458, 463, 467, 478, 483, 487, 501, 512, 518, 525, 534, 543, 563, 571, 574, 581, 592, 599, 607, 621, 630, 641, 651, 657, 659, 663, 668, 682, 689, 708, 717, 726, 734, 739, 747, 749, 754, 761, 768, 777, 784, 793, 798, 803, 813, 819, 827, 829, 840, 847, 858, 863, 865, 872, 880, 883, 893, 910, 921, 932, 937, 943, 946, 951, 967, 972, 980, 987, 993, 999, 1007, 1013, 1015, 1030, 1035, 1042, 1048, 1052, 1063] \ No newline at end of file diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseParser.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseParser.java index 20126e4413a5f..c0b673a7aa8c0 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseParser.java +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/EsqlBaseParser.java @@ -30,7 +30,7 @@ public class EsqlBaseParser extends ParserConfig { SAMPLE=14, SORT=15, STATS=16, WHERE=17, FROM=18, TS=19, FORK=20, FUSE=21, INLINE=22, INLINESTATS=23, JOIN_LOOKUP=24, DEV_JOIN_FULL=25, DEV_JOIN_LEFT=26, DEV_JOIN_RIGHT=27, DEV_LOOKUP=28, MV_EXPAND=29, DROP=30, KEEP=31, DEV_INSIST=32, - DEV_PROMQL=33, RENAME=34, SET=35, SHOW=36, UNKNOWN_CMD=37, CHANGE_POINT_LINE_COMMENT=38, + PROMQL=33, RENAME=34, SET=35, SHOW=36, UNKNOWN_CMD=37, CHANGE_POINT_LINE_COMMENT=38, CHANGE_POINT_MULTILINE_COMMENT=39, CHANGE_POINT_WS=40, ENRICH_POLICY_NAME=41, ENRICH_LINE_COMMENT=42, ENRICH_MULTILINE_COMMENT=43, ENRICH_WS=44, ENRICH_FIELD_LINE_COMMENT=45, ENRICH_FIELD_MULTILINE_COMMENT=46, ENRICH_FIELD_WS=47, EXPLAIN_WS=48, @@ -131,14 +131,14 @@ private static String[] makeLiteralNames() { "'dissect'", "'eval'", "'grok'", "'limit'", "'rerank'", "'row'", "'sample'", "'sort'", null, "'where'", "'from'", "'ts'", "'fork'", "'fuse'", "'inline'", "'inlinestats'", "'lookup'", null, null, null, null, "'mv_expand'", "'drop'", - "'keep'", null, null, "'rename'", "'set'", "'show'", null, null, null, - null, null, null, null, null, null, null, null, null, null, null, "'|'", - null, null, null, "'and'", "'asc'", "'='", "'by'", "'::'", "':'", "';'", - "','", "'desc'", "'.'", "'false'", "'first'", "'in'", "'is'", "'last'", - "'like'", "'not'", "'null'", "'nulls'", "'on'", "'or'", "'?'", "'rlike'", - "'true'", "'with'", "'=='", "'=~'", "'!='", "'<'", "'<='", "'>'", "'>='", - "'+'", "'-'", "'*'", "'/'", "'%'", "'{'", "'}'", "'??'", null, null, - null, "']'", null, "')'", null, null, null, null, null, "'metadata'", + "'keep'", null, "'promql'", "'rename'", "'set'", "'show'", null, null, + null, null, null, null, null, null, null, null, null, null, null, null, + "'|'", null, null, null, "'and'", "'asc'", "'='", "'by'", "'::'", "':'", + "';'", "','", "'desc'", "'.'", "'false'", "'first'", "'in'", "'is'", + "'last'", "'like'", "'not'", "'null'", "'nulls'", "'on'", "'or'", "'?'", + "'rlike'", "'true'", "'with'", "'=='", "'=~'", "'!='", "'<'", "'<='", + "'>'", "'>='", "'+'", "'-'", "'*'", "'/'", "'%'", "'{'", "'}'", "'??'", + null, null, null, "']'", null, "')'", null, null, null, null, null, "'metadata'", null, null, null, null, null, null, null, "'group'", "'score'", "'key'", null, null, null, null, null, null, null, "'join'", "'USING'", null, null, null, null, null, null, null, null, null, null, null, null, null, @@ -154,7 +154,7 @@ private static String[] makeSymbolicNames() { "ROW", "SAMPLE", "SORT", "STATS", "WHERE", "FROM", "TS", "FORK", "FUSE", "INLINE", "INLINESTATS", "JOIN_LOOKUP", "DEV_JOIN_FULL", "DEV_JOIN_LEFT", "DEV_JOIN_RIGHT", "DEV_LOOKUP", "MV_EXPAND", "DROP", "KEEP", "DEV_INSIST", - "DEV_PROMQL", "RENAME", "SET", "SHOW", "UNKNOWN_CMD", "CHANGE_POINT_LINE_COMMENT", + "PROMQL", "RENAME", "SET", "SHOW", "UNKNOWN_CMD", "CHANGE_POINT_LINE_COMMENT", "CHANGE_POINT_MULTILINE_COMMENT", "CHANGE_POINT_WS", "ENRICH_POLICY_NAME", "ENRICH_LINE_COMMENT", "ENRICH_MULTILINE_COMMENT", "ENRICH_WS", "ENRICH_FIELD_LINE_COMMENT", "ENRICH_FIELD_MULTILINE_COMMENT", "ENRICH_FIELD_WS", "EXPLAIN_WS", "EXPLAIN_LINE_COMMENT", @@ -491,12 +491,12 @@ public ShowCommandContext showCommand() { public TimeSeriesCommandContext timeSeriesCommand() { return getRuleContext(TimeSeriesCommandContext.class,0); } - public ExplainCommandContext explainCommand() { - return getRuleContext(ExplainCommandContext.class,0); - } public PromqlCommandContext promqlCommand() { return getRuleContext(PromqlCommandContext.class,0); } + public ExplainCommandContext explainCommand() { + return getRuleContext(ExplainCommandContext.class,0); + } @SuppressWarnings("this-escape") public SourceCommandContext(ParserRuleContext parent, int invokingState) { super(parent, invokingState); @@ -521,7 +521,7 @@ public final SourceCommandContext sourceCommand() throws RecognitionException { SourceCommandContext _localctx = new SourceCommandContext(_ctx, getState()); enterRule(_localctx, 6, RULE_sourceCommand); try { - setState(245); + setState(244); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,2,_ctx) ) { case 1: @@ -556,18 +556,16 @@ public final SourceCommandContext sourceCommand() throws RecognitionException { enterOuterAlt(_localctx, 5); { setState(241); - if (!(this.isDevVersion())) throw new FailedPredicateException(this, "this.isDevVersion()"); - setState(242); - explainCommand(); + promqlCommand(); } break; case 6: enterOuterAlt(_localctx, 6); { - setState(243); + setState(242); if (!(this.isDevVersion())) throw new FailedPredicateException(this, "this.isDevVersion()"); - setState(244); - promqlCommand(); + setState(243); + explainCommand(); } break; } @@ -675,164 +673,164 @@ public final ProcessingCommandContext processingCommand() throws RecognitionExce ProcessingCommandContext _localctx = new ProcessingCommandContext(_ctx, getState()); enterRule(_localctx, 8, RULE_processingCommand); try { - setState(271); + setState(270); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,3,_ctx) ) { case 1: enterOuterAlt(_localctx, 1); { - setState(247); + setState(246); evalCommand(); } break; case 2: enterOuterAlt(_localctx, 2); { - setState(248); + setState(247); whereCommand(); } break; case 3: enterOuterAlt(_localctx, 3); { - setState(249); + setState(248); keepCommand(); } break; case 4: enterOuterAlt(_localctx, 4); { - setState(250); + setState(249); limitCommand(); } break; case 5: enterOuterAlt(_localctx, 5); { - setState(251); + setState(250); statsCommand(); } break; case 6: enterOuterAlt(_localctx, 6); { - setState(252); + setState(251); sortCommand(); } break; case 7: enterOuterAlt(_localctx, 7); { - setState(253); + setState(252); dropCommand(); } break; case 8: enterOuterAlt(_localctx, 8); { - setState(254); + setState(253); renameCommand(); } break; case 9: enterOuterAlt(_localctx, 9); { - setState(255); + setState(254); dissectCommand(); } break; case 10: enterOuterAlt(_localctx, 10); { - setState(256); + setState(255); grokCommand(); } break; case 11: enterOuterAlt(_localctx, 11); { - setState(257); + setState(256); enrichCommand(); } break; case 12: enterOuterAlt(_localctx, 12); { - setState(258); + setState(257); mvExpandCommand(); } break; case 13: enterOuterAlt(_localctx, 13); { - setState(259); + setState(258); joinCommand(); } break; case 14: enterOuterAlt(_localctx, 14); { - setState(260); + setState(259); changePointCommand(); } break; case 15: enterOuterAlt(_localctx, 15); { - setState(261); + setState(260); completionCommand(); } break; case 16: enterOuterAlt(_localctx, 16); { - setState(262); + setState(261); sampleCommand(); } break; case 17: enterOuterAlt(_localctx, 17); { - setState(263); + setState(262); forkCommand(); } break; case 18: enterOuterAlt(_localctx, 18); { - setState(264); + setState(263); rerankCommand(); } break; case 19: enterOuterAlt(_localctx, 19); { - setState(265); + setState(264); inlineStatsCommand(); } break; case 20: enterOuterAlt(_localctx, 20); { - setState(266); + setState(265); fuseCommand(); } break; case 21: enterOuterAlt(_localctx, 21); { - setState(267); + setState(266); if (!(this.isDevVersion())) throw new FailedPredicateException(this, "this.isDevVersion()"); - setState(268); + setState(267); lookupCommand(); } break; case 22: enterOuterAlt(_localctx, 22); { - setState(269); + setState(268); if (!(this.isDevVersion())) throw new FailedPredicateException(this, "this.isDevVersion()"); - setState(270); + setState(269); insistCommand(); } break; @@ -881,9 +879,9 @@ public final WhereCommandContext whereCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(273); + setState(272); match(WHERE); - setState(274); + setState(273); booleanExpression(0); } } @@ -941,7 +939,7 @@ public final DataTypeContext dataType() throws RecognitionException { _localctx = new ToDataTypeContext(_localctx); enterOuterAlt(_localctx, 1); { - setState(276); + setState(275); identifier(); } } @@ -988,9 +986,9 @@ public final RowCommandContext rowCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(278); + setState(277); match(ROW); - setState(279); + setState(278); fields(); } } @@ -1044,23 +1042,23 @@ public final FieldsContext fields() throws RecognitionException { int _alt; enterOuterAlt(_localctx, 1); { - setState(281); + setState(280); field(); - setState(286); + setState(285); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,4,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(282); + setState(281); match(COMMA); - setState(283); + setState(282); field(); } } } - setState(288); + setState(287); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,4,_ctx); } @@ -1112,19 +1110,19 @@ public final FieldContext field() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(292); + setState(291); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,5,_ctx) ) { case 1: { - setState(289); + setState(288); qualifiedName(); - setState(290); + setState(289); match(ASSIGN); } break; } - setState(294); + setState(293); booleanExpression(0); } } @@ -1178,23 +1176,23 @@ public final RerankFieldsContext rerankFields() throws RecognitionException { int _alt; enterOuterAlt(_localctx, 1); { - setState(296); + setState(295); rerankField(); - setState(301); + setState(300); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,6,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(297); + setState(296); match(COMMA); - setState(298); + setState(297); rerankField(); } } } - setState(303); + setState(302); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,6,_ctx); } @@ -1246,16 +1244,16 @@ public final RerankFieldContext rerankField() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(304); + setState(303); qualifiedName(); - setState(307); + setState(306); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,7,_ctx) ) { case 1: { - setState(305); + setState(304); match(ASSIGN); - setState(306); + setState(305); booleanExpression(0); } break; @@ -1305,9 +1303,9 @@ public final FromCommandContext fromCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(309); + setState(308); match(FROM); - setState(310); + setState(309); indexPatternAndMetadataFields(); } } @@ -1354,9 +1352,9 @@ public final TimeSeriesCommandContext timeSeriesCommand() throws RecognitionExce try { enterOuterAlt(_localctx, 1); { - setState(312); + setState(311); match(TS); - setState(313); + setState(312); indexPatternAndMetadataFields(); } } @@ -1413,32 +1411,32 @@ public final IndexPatternAndMetadataFieldsContext indexPatternAndMetadataFields( int _alt; enterOuterAlt(_localctx, 1); { - setState(315); + setState(314); indexPatternOrSubquery(); - setState(320); + setState(319); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,8,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(316); + setState(315); match(COMMA); - setState(317); + setState(316); indexPatternOrSubquery(); } } } - setState(322); + setState(321); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,8,_ctx); } - setState(324); + setState(323); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,9,_ctx) ) { case 1: { - setState(323); + setState(322); metadata(); } break; @@ -1488,22 +1486,22 @@ public final IndexPatternOrSubqueryContext indexPatternOrSubquery() throws Recog IndexPatternOrSubqueryContext _localctx = new IndexPatternOrSubqueryContext(_ctx, getState()); enterRule(_localctx, 30, RULE_indexPatternOrSubquery); try { - setState(329); + setState(328); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,10,_ctx) ) { case 1: enterOuterAlt(_localctx, 1); { - setState(326); + setState(325); indexPattern(); } break; case 2: enterOuterAlt(_localctx, 2); { - setState(327); + setState(326); if (!(this.isDevVersion())) throw new FailedPredicateException(this, "this.isDevVersion()"); - setState(328); + setState(327); subquery(); } break; @@ -1564,27 +1562,27 @@ public final SubqueryContext subquery() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(331); + setState(330); match(LP); - setState(332); + setState(331); fromCommand(); - setState(337); + setState(336); _errHandler.sync(this); _la = _input.LA(1); while (_la==PIPE) { { { - setState(333); + setState(332); match(PIPE); - setState(334); + setState(333); processingCommand(); } } - setState(339); + setState(338); _errHandler.sync(this); _la = _input.LA(1); } - setState(340); + setState(339); match(RP); } } @@ -1639,35 +1637,35 @@ public final IndexPatternContext indexPattern() throws RecognitionException { IndexPatternContext _localctx = new IndexPatternContext(_ctx, getState()); enterRule(_localctx, 34, RULE_indexPattern); try { - setState(351); + setState(350); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,12,_ctx) ) { case 1: enterOuterAlt(_localctx, 1); { - setState(342); + setState(341); clusterString(); - setState(343); + setState(342); match(COLON); - setState(344); + setState(343); unquotedIndexString(); } break; case 2: enterOuterAlt(_localctx, 2); { - setState(346); + setState(345); unquotedIndexString(); - setState(347); + setState(346); match(CAST_OP); - setState(348); + setState(347); selectorString(); } break; case 3: enterOuterAlt(_localctx, 3); { - setState(350); + setState(349); indexString(); } break; @@ -1713,7 +1711,7 @@ public final ClusterStringContext clusterString() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(353); + setState(352); match(UNQUOTED_SOURCE); } } @@ -1757,7 +1755,7 @@ public final SelectorStringContext selectorString() throws RecognitionException try { enterOuterAlt(_localctx, 1); { - setState(355); + setState(354); match(UNQUOTED_SOURCE); } } @@ -1801,7 +1799,7 @@ public final UnquotedIndexStringContext unquotedIndexString() throws Recognition try { enterOuterAlt(_localctx, 1); { - setState(357); + setState(356); match(UNQUOTED_SOURCE); } } @@ -1847,7 +1845,7 @@ public final IndexStringContext indexString() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(359); + setState(358); _la = _input.LA(1); if ( !(_la==QUOTED_STRING || _la==UNQUOTED_SOURCE) ) { _errHandler.recoverInline(this); @@ -1908,25 +1906,25 @@ public final MetadataContext metadata() throws RecognitionException { int _alt; enterOuterAlt(_localctx, 1); { - setState(361); + setState(360); match(METADATA); - setState(362); + setState(361); match(UNQUOTED_SOURCE); - setState(367); + setState(366); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,13,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(363); + setState(362); match(COMMA); - setState(364); + setState(363); match(UNQUOTED_SOURCE); } } } - setState(369); + setState(368); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,13,_ctx); } @@ -1975,9 +1973,9 @@ public final EvalCommandContext evalCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(370); + setState(369); match(EVAL); - setState(371); + setState(370); fields(); } } @@ -2030,26 +2028,26 @@ public final StatsCommandContext statsCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(373); + setState(372); match(STATS); - setState(375); + setState(374); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,14,_ctx) ) { case 1: { - setState(374); + setState(373); ((StatsCommandContext)_localctx).stats = aggFields(); } break; } - setState(379); + setState(378); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,15,_ctx) ) { case 1: { - setState(377); + setState(376); match(BY); - setState(378); + setState(377); ((StatsCommandContext)_localctx).grouping = fields(); } break; @@ -2106,23 +2104,23 @@ public final AggFieldsContext aggFields() throws RecognitionException { int _alt; enterOuterAlt(_localctx, 1); { - setState(381); + setState(380); aggField(); - setState(386); + setState(385); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,16,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(382); + setState(381); match(COMMA); - setState(383); + setState(382); aggField(); } } } - setState(388); + setState(387); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,16,_ctx); } @@ -2174,16 +2172,16 @@ public final AggFieldContext aggField() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(389); + setState(388); field(); - setState(392); + setState(391); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,17,_ctx) ) { case 1: { - setState(390); + setState(389); match(WHERE); - setState(391); + setState(390); booleanExpression(0); } break; @@ -2243,42 +2241,42 @@ public final QualifiedNameContext qualifiedName() throws RecognitionException { enterRule(_localctx, 54, RULE_qualifiedName); int _la; try { - setState(406); + setState(405); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,19,_ctx) ) { case 1: enterOuterAlt(_localctx, 1); { - setState(394); + setState(393); if (!(this.isDevVersion())) throw new FailedPredicateException(this, "this.isDevVersion()"); - setState(395); + setState(394); match(OPENING_BRACKET); - setState(397); + setState(396); _errHandler.sync(this); _la = _input.LA(1); if (_la==UNQUOTED_IDENTIFIER) { { - setState(396); + setState(395); ((QualifiedNameContext)_localctx).qualifier = match(UNQUOTED_IDENTIFIER); } } - setState(399); + setState(398); match(CLOSING_BRACKET); - setState(400); + setState(399); match(DOT); - setState(401); + setState(400); match(OPENING_BRACKET); - setState(402); + setState(401); ((QualifiedNameContext)_localctx).name = fieldName(); - setState(403); + setState(402); match(CLOSING_BRACKET); } break; case 2: enterOuterAlt(_localctx, 2); { - setState(405); + setState(404); ((QualifiedNameContext)_localctx).name = fieldName(); } break; @@ -2334,23 +2332,23 @@ public final FieldNameContext fieldName() throws RecognitionException { int _alt; enterOuterAlt(_localctx, 1); { - setState(408); + setState(407); identifierOrParameter(); - setState(413); + setState(412); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,20,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(409); + setState(408); match(DOT); - setState(410); + setState(409); identifierOrParameter(); } } } - setState(415); + setState(414); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,20,_ctx); } @@ -2409,42 +2407,42 @@ public final QualifiedNamePatternContext qualifiedNamePattern() throws Recogniti enterRule(_localctx, 58, RULE_qualifiedNamePattern); int _la; try { - setState(428); + setState(427); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,22,_ctx) ) { case 1: enterOuterAlt(_localctx, 1); { - setState(416); + setState(415); if (!(this.isDevVersion())) throw new FailedPredicateException(this, "this.isDevVersion()"); - setState(417); + setState(416); match(OPENING_BRACKET); - setState(419); + setState(418); _errHandler.sync(this); _la = _input.LA(1); if (_la==ID_PATTERN) { { - setState(418); + setState(417); ((QualifiedNamePatternContext)_localctx).qualifier = match(ID_PATTERN); } } - setState(421); + setState(420); match(CLOSING_BRACKET); - setState(422); + setState(421); match(DOT); - setState(423); + setState(422); match(OPENING_BRACKET); - setState(424); + setState(423); ((QualifiedNamePatternContext)_localctx).name = fieldNamePattern(); - setState(425); + setState(424); match(CLOSING_BRACKET); } break; case 2: enterOuterAlt(_localctx, 2); { - setState(427); + setState(426); ((QualifiedNamePatternContext)_localctx).name = fieldNamePattern(); } break; @@ -2501,23 +2499,23 @@ public final FieldNamePatternContext fieldNamePattern() throws RecognitionExcept enterOuterAlt(_localctx, 1); { { - setState(430); + setState(429); identifierPattern(); - setState(435); + setState(434); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,23,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(431); + setState(430); match(DOT); - setState(432); + setState(431); identifierPattern(); } } } - setState(437); + setState(436); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,23,_ctx); } @@ -2574,23 +2572,23 @@ public final QualifiedNamePatternsContext qualifiedNamePatterns() throws Recogni int _alt; enterOuterAlt(_localctx, 1); { - setState(438); + setState(437); qualifiedNamePattern(); - setState(443); + setState(442); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,24,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(439); + setState(438); match(COMMA); - setState(440); + setState(439); qualifiedNamePattern(); } } } - setState(445); + setState(444); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,24,_ctx); } @@ -2638,7 +2636,7 @@ public final IdentifierContext identifier() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(446); + setState(445); _la = _input.LA(1); if ( !(_la==UNQUOTED_IDENTIFIER || _la==QUOTED_IDENTIFIER) ) { _errHandler.recoverInline(this); @@ -2694,13 +2692,13 @@ public final IdentifierPatternContext identifierPattern() throws RecognitionExce IdentifierPatternContext _localctx = new IdentifierPatternContext(_ctx, getState()); enterRule(_localctx, 66, RULE_identifierPattern); try { - setState(451); + setState(450); _errHandler.sync(this); switch (_input.LA(1)) { case ID_PATTERN: enterOuterAlt(_localctx, 1); { - setState(448); + setState(447); match(ID_PATTERN); } break; @@ -2708,7 +2706,7 @@ public final IdentifierPatternContext identifierPattern() throws RecognitionExce case NAMED_OR_POSITIONAL_PARAM: enterOuterAlt(_localctx, 2); { - setState(449); + setState(448); parameter(); } break; @@ -2716,7 +2714,7 @@ public final IdentifierPatternContext identifierPattern() throws RecognitionExce case NAMED_OR_POSITIONAL_DOUBLE_PARAMS: enterOuterAlt(_localctx, 3); { - setState(450); + setState(449); doubleParameter(); } break; @@ -2792,14 +2790,14 @@ public final ParameterContext parameter() throws RecognitionException { ParameterContext _localctx = new ParameterContext(_ctx, getState()); enterRule(_localctx, 68, RULE_parameter); try { - setState(455); + setState(454); _errHandler.sync(this); switch (_input.LA(1)) { case PARAM: _localctx = new InputParamContext(_localctx); enterOuterAlt(_localctx, 1); { - setState(453); + setState(452); match(PARAM); } break; @@ -2807,7 +2805,7 @@ public final ParameterContext parameter() throws RecognitionException { _localctx = new InputNamedOrPositionalParamContext(_localctx); enterOuterAlt(_localctx, 2); { - setState(454); + setState(453); match(NAMED_OR_POSITIONAL_PARAM); } break; @@ -2883,14 +2881,14 @@ public final DoubleParameterContext doubleParameter() throws RecognitionExceptio DoubleParameterContext _localctx = new DoubleParameterContext(_ctx, getState()); enterRule(_localctx, 70, RULE_doubleParameter); try { - setState(459); + setState(458); _errHandler.sync(this); switch (_input.LA(1)) { case DOUBLE_PARAMS: _localctx = new InputDoubleParamsContext(_localctx); enterOuterAlt(_localctx, 1); { - setState(457); + setState(456); match(DOUBLE_PARAMS); } break; @@ -2898,7 +2896,7 @@ public final DoubleParameterContext doubleParameter() throws RecognitionExceptio _localctx = new InputNamedOrPositionalDoubleParamsContext(_localctx); enterOuterAlt(_localctx, 2); { - setState(458); + setState(457); match(NAMED_OR_POSITIONAL_DOUBLE_PARAMS); } break; @@ -2952,14 +2950,14 @@ public final IdentifierOrParameterContext identifierOrParameter() throws Recogni IdentifierOrParameterContext _localctx = new IdentifierOrParameterContext(_ctx, getState()); enterRule(_localctx, 72, RULE_identifierOrParameter); try { - setState(464); + setState(463); _errHandler.sync(this); switch (_input.LA(1)) { case UNQUOTED_IDENTIFIER: case QUOTED_IDENTIFIER: enterOuterAlt(_localctx, 1); { - setState(461); + setState(460); identifier(); } break; @@ -2967,7 +2965,7 @@ public final IdentifierOrParameterContext identifierOrParameter() throws Recogni case NAMED_OR_POSITIONAL_PARAM: enterOuterAlt(_localctx, 2); { - setState(462); + setState(461); parameter(); } break; @@ -2975,7 +2973,7 @@ public final IdentifierOrParameterContext identifierOrParameter() throws Recogni case NAMED_OR_POSITIONAL_DOUBLE_PARAMS: enterOuterAlt(_localctx, 3); { - setState(463); + setState(462); doubleParameter(); } break; @@ -3026,13 +3024,13 @@ public final StringOrParameterContext stringOrParameter() throws RecognitionExce StringOrParameterContext _localctx = new StringOrParameterContext(_ctx, getState()); enterRule(_localctx, 74, RULE_stringOrParameter); try { - setState(468); + setState(467); _errHandler.sync(this); switch (_input.LA(1)) { case QUOTED_STRING: enterOuterAlt(_localctx, 1); { - setState(466); + setState(465); string(); } break; @@ -3040,7 +3038,7 @@ public final StringOrParameterContext stringOrParameter() throws RecognitionExce case NAMED_OR_POSITIONAL_PARAM: enterOuterAlt(_localctx, 2); { - setState(467); + setState(466); parameter(); } break; @@ -3091,9 +3089,9 @@ public final LimitCommandContext limitCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(470); + setState(469); match(LIMIT); - setState(471); + setState(470); constant(); } } @@ -3148,25 +3146,25 @@ public final SortCommandContext sortCommand() throws RecognitionException { int _alt; enterOuterAlt(_localctx, 1); { - setState(473); + setState(472); match(SORT); - setState(474); + setState(473); orderExpression(); - setState(479); + setState(478); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,30,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(475); + setState(474); match(COMMA); - setState(476); + setState(475); orderExpression(); } } } - setState(481); + setState(480); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,30,_ctx); } @@ -3222,14 +3220,14 @@ public final OrderExpressionContext orderExpression() throws RecognitionExceptio try { enterOuterAlt(_localctx, 1); { - setState(482); + setState(481); booleanExpression(0); - setState(484); + setState(483); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,31,_ctx) ) { case 1: { - setState(483); + setState(482); ((OrderExpressionContext)_localctx).ordering = _input.LT(1); _la = _input.LA(1); if ( !(_la==ASC || _la==DESC) ) { @@ -3243,14 +3241,14 @@ public final OrderExpressionContext orderExpression() throws RecognitionExceptio } break; } - setState(488); + setState(487); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,32,_ctx) ) { case 1: { - setState(486); + setState(485); match(NULLS); - setState(487); + setState(486); ((OrderExpressionContext)_localctx).nullOrdering = _input.LT(1); _la = _input.LA(1); if ( !(_la==FIRST || _la==LAST) ) { @@ -3309,9 +3307,9 @@ public final KeepCommandContext keepCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(490); + setState(489); match(KEEP); - setState(491); + setState(490); qualifiedNamePatterns(); } } @@ -3358,9 +3356,9 @@ public final DropCommandContext dropCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(493); + setState(492); match(DROP); - setState(494); + setState(493); qualifiedNamePatterns(); } } @@ -3415,25 +3413,25 @@ public final RenameCommandContext renameCommand() throws RecognitionException { int _alt; enterOuterAlt(_localctx, 1); { - setState(496); + setState(495); match(RENAME); - setState(497); + setState(496); renameClause(); - setState(502); + setState(501); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,33,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(498); + setState(497); match(COMMA); - setState(499); + setState(498); renameClause(); } } } - setState(504); + setState(503); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,33,_ctx); } @@ -3486,28 +3484,28 @@ public final RenameClauseContext renameClause() throws RecognitionException { RenameClauseContext _localctx = new RenameClauseContext(_ctx, getState()); enterRule(_localctx, 88, RULE_renameClause); try { - setState(513); + setState(512); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,34,_ctx) ) { case 1: enterOuterAlt(_localctx, 1); { - setState(505); + setState(504); ((RenameClauseContext)_localctx).oldName = qualifiedNamePattern(); - setState(506); + setState(505); match(AS); - setState(507); + setState(506); ((RenameClauseContext)_localctx).newName = qualifiedNamePattern(); } break; case 2: enterOuterAlt(_localctx, 2); { - setState(509); + setState(508); ((RenameClauseContext)_localctx).newName = qualifiedNamePattern(); - setState(510); + setState(509); match(ASSIGN); - setState(511); + setState(510); ((RenameClauseContext)_localctx).oldName = qualifiedNamePattern(); } break; @@ -3562,18 +3560,18 @@ public final DissectCommandContext dissectCommand() throws RecognitionException try { enterOuterAlt(_localctx, 1); { - setState(515); + setState(514); match(DISSECT); - setState(516); + setState(515); primaryExpression(0); - setState(517); + setState(516); string(); - setState(519); + setState(518); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,35,_ctx) ) { case 1: { - setState(518); + setState(517); dissectCommandOptions(); } break; @@ -3630,23 +3628,23 @@ public final DissectCommandOptionsContext dissectCommandOptions() throws Recogni int _alt; enterOuterAlt(_localctx, 1); { - setState(521); + setState(520); dissectCommandOption(); - setState(526); + setState(525); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,36,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(522); + setState(521); match(COMMA); - setState(523); + setState(522); dissectCommandOption(); } } } - setState(528); + setState(527); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,36,_ctx); } @@ -3698,11 +3696,11 @@ public final DissectCommandOptionContext dissectCommandOption() throws Recogniti try { enterOuterAlt(_localctx, 1); { - setState(529); + setState(528); identifier(); - setState(530); + setState(529); match(ASSIGN); - setState(531); + setState(530); constant(); } } @@ -3749,14 +3747,14 @@ public final CommandNamedParametersContext commandNamedParameters() throws Recog try { enterOuterAlt(_localctx, 1); { - setState(535); + setState(534); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,37,_ctx) ) { case 1: { - setState(533); + setState(532); match(WITH); - setState(534); + setState(533); mapExpression(); } break; @@ -3817,27 +3815,27 @@ public final GrokCommandContext grokCommand() throws RecognitionException { int _alt; enterOuterAlt(_localctx, 1); { - setState(537); + setState(536); match(GROK); - setState(538); + setState(537); primaryExpression(0); - setState(539); + setState(538); string(); - setState(544); + setState(543); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,38,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(540); + setState(539); match(COMMA); - setState(541); + setState(540); string(); } } } - setState(546); + setState(545); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,38,_ctx); } @@ -3886,9 +3884,9 @@ public final MvExpandCommandContext mvExpandCommand() throws RecognitionExceptio try { enterOuterAlt(_localctx, 1); { - setState(547); + setState(546); match(MV_EXPAND); - setState(548); + setState(547); qualifiedName(); } } @@ -3935,9 +3933,9 @@ public final ExplainCommandContext explainCommand() throws RecognitionException try { enterOuterAlt(_localctx, 1); { - setState(550); + setState(549); match(DEV_EXPLAIN); - setState(551); + setState(550); subqueryExpression(); } } @@ -3985,11 +3983,11 @@ public final SubqueryExpressionContext subqueryExpression() throws RecognitionEx try { enterOuterAlt(_localctx, 1); { - setState(553); + setState(552); match(LP); - setState(554); + setState(553); query(0); - setState(555); + setState(554); match(RP); } } @@ -4046,9 +4044,9 @@ public final ShowCommandContext showCommand() throws RecognitionException { _localctx = new ShowInfoContext(_localctx); enterOuterAlt(_localctx, 1); { - setState(557); + setState(556); match(SHOW); - setState(558); + setState(557); match(INFO); } } @@ -4113,46 +4111,46 @@ public final EnrichCommandContext enrichCommand() throws RecognitionException { int _alt; enterOuterAlt(_localctx, 1); { - setState(560); + setState(559); match(ENRICH); - setState(561); + setState(560); ((EnrichCommandContext)_localctx).policyName = enrichPolicyName(); - setState(564); + setState(563); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,39,_ctx) ) { case 1: { - setState(562); + setState(561); match(ON); - setState(563); + setState(562); ((EnrichCommandContext)_localctx).matchField = qualifiedNamePattern(); } break; } - setState(575); + setState(574); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,41,_ctx) ) { case 1: { - setState(566); + setState(565); match(WITH); - setState(567); + setState(566); enrichWithClause(); - setState(572); + setState(571); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,40,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(568); + setState(567); match(COMMA); - setState(569); + setState(568); enrichWithClause(); } } } - setState(574); + setState(573); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,40,_ctx); } @@ -4203,7 +4201,7 @@ public final EnrichPolicyNameContext enrichPolicyName() throws RecognitionExcept try { enterOuterAlt(_localctx, 1); { - setState(577); + setState(576); _la = _input.LA(1); if ( !(_la==ENRICH_POLICY_NAME || _la==QUOTED_STRING) ) { _errHandler.recoverInline(this); @@ -4263,19 +4261,19 @@ public final EnrichWithClauseContext enrichWithClause() throws RecognitionExcept try { enterOuterAlt(_localctx, 1); { - setState(582); + setState(581); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,42,_ctx) ) { case 1: { - setState(579); + setState(578); ((EnrichWithClauseContext)_localctx).newName = qualifiedNamePattern(); - setState(580); + setState(579); match(ASSIGN); } break; } - setState(584); + setState(583); ((EnrichWithClauseContext)_localctx).enrichField = qualifiedNamePattern(); } } @@ -4323,9 +4321,9 @@ public final SampleCommandContext sampleCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(586); + setState(585); match(SAMPLE); - setState(587); + setState(586); ((SampleCommandContext)_localctx).probability = constant(); } } @@ -4382,34 +4380,34 @@ public final ChangePointCommandContext changePointCommand() throws RecognitionEx try { enterOuterAlt(_localctx, 1); { - setState(589); + setState(588); match(CHANGE_POINT); - setState(590); + setState(589); ((ChangePointCommandContext)_localctx).value = qualifiedName(); - setState(593); + setState(592); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,43,_ctx) ) { case 1: { - setState(591); + setState(590); match(ON); - setState(592); + setState(591); ((ChangePointCommandContext)_localctx).key = qualifiedName(); } break; } - setState(600); + setState(599); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,44,_ctx) ) { case 1: { - setState(595); + setState(594); match(AS); - setState(596); + setState(595); ((ChangePointCommandContext)_localctx).targetType = qualifiedName(); - setState(597); + setState(596); match(COMMA); - setState(598); + setState(597); ((ChangePointCommandContext)_localctx).targetPvalue = qualifiedName(); } break; @@ -4459,9 +4457,9 @@ public final ForkCommandContext forkCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(602); + setState(601); match(FORK); - setState(603); + setState(602); forkSubQueries(); } } @@ -4511,7 +4509,7 @@ public final ForkSubQueriesContext forkSubQueries() throws RecognitionException int _alt; enterOuterAlt(_localctx, 1); { - setState(606); + setState(605); _errHandler.sync(this); _alt = 1; do { @@ -4519,7 +4517,7 @@ public final ForkSubQueriesContext forkSubQueries() throws RecognitionException case 1: { { - setState(605); + setState(604); forkSubQuery(); } } @@ -4527,7 +4525,7 @@ public final ForkSubQueriesContext forkSubQueries() throws RecognitionException default: throw new NoViableAltException(this); } - setState(608); + setState(607); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,45,_ctx); } while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ); @@ -4577,11 +4575,11 @@ public final ForkSubQueryContext forkSubQuery() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(610); + setState(609); match(LP); - setState(611); + setState(610); forkSubQueryCommand(0); - setState(612); + setState(611); match(RP); } } @@ -4677,11 +4675,11 @@ private ForkSubQueryCommandContext forkSubQueryCommand(int _p) throws Recognitio _ctx = _localctx; _prevctx = _localctx; - setState(615); + setState(614); forkSubQueryProcessingCommand(); } _ctx.stop = _input.LT(-1); - setState(622); + setState(621); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,46,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { @@ -4692,16 +4690,16 @@ private ForkSubQueryCommandContext forkSubQueryCommand(int _p) throws Recognitio { _localctx = new CompositeForkSubQueryContext(new ForkSubQueryCommandContext(_parentctx, _parentState)); pushNewRecursionContext(_localctx, _startState, RULE_forkSubQueryCommand); - setState(617); + setState(616); if (!(precpred(_ctx, 1))) throw new FailedPredicateException(this, "precpred(_ctx, 1)"); - setState(618); + setState(617); match(PIPE); - setState(619); + setState(618); forkSubQueryProcessingCommand(); } } } - setState(624); + setState(623); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,46,_ctx); } @@ -4749,7 +4747,7 @@ public final ForkSubQueryProcessingCommandContext forkSubQueryProcessingCommand( try { enterOuterAlt(_localctx, 1); { - setState(625); + setState(624); processingCommand(); } } @@ -4809,27 +4807,27 @@ public final RerankCommandContext rerankCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(627); + setState(626); match(RERANK); - setState(631); + setState(630); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,47,_ctx) ) { case 1: { - setState(628); + setState(627); ((RerankCommandContext)_localctx).targetField = qualifiedName(); - setState(629); + setState(628); match(ASSIGN); } break; } - setState(633); + setState(632); ((RerankCommandContext)_localctx).queryText = constant(); - setState(634); + setState(633); match(ON); - setState(635); + setState(634); rerankFields(); - setState(636); + setState(635); commandNamedParameters(); } } @@ -4885,23 +4883,23 @@ public final CompletionCommandContext completionCommand() throws RecognitionExce try { enterOuterAlt(_localctx, 1); { - setState(638); + setState(637); match(COMPLETION); - setState(642); + setState(641); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,48,_ctx) ) { case 1: { - setState(639); + setState(638); ((CompletionCommandContext)_localctx).targetField = qualifiedName(); - setState(640); + setState(639); match(ASSIGN); } break; } - setState(644); + setState(643); ((CompletionCommandContext)_localctx).prompt = primaryExpression(0); - setState(645); + setState(644); commandNamedParameters(); } } @@ -4954,26 +4952,26 @@ public final InlineStatsCommandContext inlineStatsCommand() throws RecognitionEx InlineStatsCommandContext _localctx = new InlineStatsCommandContext(_ctx, getState()); enterRule(_localctx, 132, RULE_inlineStatsCommand); try { - setState(660); + setState(659); _errHandler.sync(this); switch (_input.LA(1)) { case INLINE: enterOuterAlt(_localctx, 1); { - setState(647); + setState(646); match(INLINE); - setState(648); + setState(647); match(INLINE_STATS); - setState(649); + setState(648); ((InlineStatsCommandContext)_localctx).stats = aggFields(); - setState(652); + setState(651); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,49,_ctx) ) { case 1: { - setState(650); + setState(649); match(BY); - setState(651); + setState(650); ((InlineStatsCommandContext)_localctx).grouping = fields(); } break; @@ -4983,18 +4981,18 @@ public final InlineStatsCommandContext inlineStatsCommand() throws RecognitionEx case INLINESTATS: enterOuterAlt(_localctx, 2); { - setState(654); + setState(653); match(INLINESTATS); - setState(655); + setState(654); ((InlineStatsCommandContext)_localctx).stats = aggFields(); - setState(658); + setState(657); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,50,_ctx) ) { case 1: { - setState(656); + setState(655); match(BY); - setState(657); + setState(656); ((InlineStatsCommandContext)_localctx).grouping = fields(); } break; @@ -5056,31 +5054,31 @@ public final FuseCommandContext fuseCommand() throws RecognitionException { int _alt; enterOuterAlt(_localctx, 1); { - setState(662); + setState(661); match(FUSE); - setState(664); + setState(663); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,52,_ctx) ) { case 1: { - setState(663); + setState(662); ((FuseCommandContext)_localctx).fuseType = identifier(); } break; } - setState(669); + setState(668); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,53,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(666); + setState(665); fuseConfiguration(); } } } - setState(671); + setState(670); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,53,_ctx); } @@ -5141,48 +5139,48 @@ public final FuseConfigurationContext fuseConfiguration() throws RecognitionExce FuseConfigurationContext _localctx = new FuseConfigurationContext(_ctx, getState()); enterRule(_localctx, 136, RULE_fuseConfiguration); try { - setState(683); + setState(682); _errHandler.sync(this); switch (_input.LA(1)) { case SCORE: enterOuterAlt(_localctx, 1); { - setState(672); + setState(671); match(SCORE); - setState(673); + setState(672); match(BY); - setState(674); + setState(673); ((FuseConfigurationContext)_localctx).score = qualifiedName(); } break; case KEY: enterOuterAlt(_localctx, 2); { - setState(675); + setState(674); match(KEY); - setState(676); + setState(675); match(BY); - setState(677); + setState(676); ((FuseConfigurationContext)_localctx).key = fuseKeyByFields(); } break; case GROUP: enterOuterAlt(_localctx, 3); { - setState(678); + setState(677); match(GROUP); - setState(679); + setState(678); match(BY); - setState(680); + setState(679); ((FuseConfigurationContext)_localctx).group = qualifiedName(); } break; case WITH: enterOuterAlt(_localctx, 4); { - setState(681); + setState(680); match(WITH); - setState(682); + setState(681); ((FuseConfigurationContext)_localctx).options = mapExpression(); } break; @@ -5240,23 +5238,23 @@ public final FuseKeyByFieldsContext fuseKeyByFields() throws RecognitionExceptio int _alt; enterOuterAlt(_localctx, 1); { - setState(685); + setState(684); qualifiedName(); - setState(690); + setState(689); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,55,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(686); + setState(685); match(COMMA); - setState(687); + setState(686); qualifiedName(); } } } - setState(692); + setState(691); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,55,_ctx); } @@ -5311,13 +5309,13 @@ public final LookupCommandContext lookupCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(693); + setState(692); match(DEV_LOOKUP); - setState(694); + setState(693); ((LookupCommandContext)_localctx).tableName = indexPattern(); - setState(695); + setState(694); match(ON); - setState(696); + setState(695); ((LookupCommandContext)_localctx).matchFields = qualifiedNamePatterns(); } } @@ -5364,9 +5362,9 @@ public final InsistCommandContext insistCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(698); + setState(697); match(DEV_INSIST); - setState(699); + setState(698); qualifiedNamePatterns(); } } @@ -5414,11 +5412,11 @@ public final SetCommandContext setCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(701); + setState(700); match(SET); - setState(702); + setState(701); setField(); - setState(703); + setState(702); match(SEMICOLON); } } @@ -5471,11 +5469,11 @@ public final SetFieldContext setField() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(705); + setState(704); identifier(); - setState(706); + setState(705); match(ASSIGN); - setState(709); + setState(708); _errHandler.sync(this); switch (_input.LA(1)) { case QUOTED_STRING: @@ -5490,13 +5488,13 @@ public final SetFieldContext setField() throws RecognitionException { case NAMED_OR_POSITIONAL_PARAM: case OPENING_BRACKET: { - setState(707); + setState(706); constant(); } break; case LEFT_BRACES: { - setState(708); + setState(707); mapExpression(); } break; @@ -5717,7 +5715,7 @@ private BooleanExpressionContext booleanExpression(int _p) throws RecognitionExc int _alt; enterOuterAlt(_localctx, 1); { - setState(740); + setState(739); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,60,_ctx) ) { case 1: @@ -5726,9 +5724,9 @@ private BooleanExpressionContext booleanExpression(int _p) throws RecognitionExc _ctx = _localctx; _prevctx = _localctx; - setState(712); + setState(711); match(NOT); - setState(713); + setState(712); booleanExpression(8); } break; @@ -5737,7 +5735,7 @@ private BooleanExpressionContext booleanExpression(int _p) throws RecognitionExc _localctx = new BooleanDefaultContext(_localctx); _ctx = _localctx; _prevctx = _localctx; - setState(714); + setState(713); valueExpression(); } break; @@ -5746,7 +5744,7 @@ private BooleanExpressionContext booleanExpression(int _p) throws RecognitionExc _localctx = new RegexExpressionContext(_localctx); _ctx = _localctx; _prevctx = _localctx; - setState(715); + setState(714); regexBooleanExpression(); } break; @@ -5755,41 +5753,41 @@ private BooleanExpressionContext booleanExpression(int _p) throws RecognitionExc _localctx = new LogicalInContext(_localctx); _ctx = _localctx; _prevctx = _localctx; - setState(716); + setState(715); valueExpression(); - setState(718); + setState(717); _errHandler.sync(this); _la = _input.LA(1); if (_la==NOT) { { - setState(717); + setState(716); match(NOT); } } - setState(720); + setState(719); match(IN); - setState(721); + setState(720); match(LP); - setState(722); + setState(721); valueExpression(); - setState(727); + setState(726); _errHandler.sync(this); _la = _input.LA(1); while (_la==COMMA) { { { - setState(723); + setState(722); match(COMMA); - setState(724); + setState(723); valueExpression(); } } - setState(729); + setState(728); _errHandler.sync(this); _la = _input.LA(1); } - setState(730); + setState(729); match(RP); } break; @@ -5798,21 +5796,21 @@ private BooleanExpressionContext booleanExpression(int _p) throws RecognitionExc _localctx = new IsNullContext(_localctx); _ctx = _localctx; _prevctx = _localctx; - setState(732); + setState(731); valueExpression(); - setState(733); + setState(732); match(IS); - setState(735); + setState(734); _errHandler.sync(this); _la = _input.LA(1); if (_la==NOT) { { - setState(734); + setState(733); match(NOT); } } - setState(737); + setState(736); match(NULL); } break; @@ -5821,13 +5819,13 @@ private BooleanExpressionContext booleanExpression(int _p) throws RecognitionExc _localctx = new MatchExpressionContext(_localctx); _ctx = _localctx; _prevctx = _localctx; - setState(739); + setState(738); matchBooleanExpression(); } break; } _ctx.stop = _input.LT(-1); - setState(750); + setState(749); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,62,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { @@ -5835,7 +5833,7 @@ private BooleanExpressionContext booleanExpression(int _p) throws RecognitionExc if ( _parseListeners!=null ) triggerExitRuleEvent(); _prevctx = _localctx; { - setState(748); + setState(747); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,61,_ctx) ) { case 1: @@ -5843,11 +5841,11 @@ private BooleanExpressionContext booleanExpression(int _p) throws RecognitionExc _localctx = new LogicalBinaryContext(new BooleanExpressionContext(_parentctx, _parentState)); ((LogicalBinaryContext)_localctx).left = _prevctx; pushNewRecursionContext(_localctx, _startState, RULE_booleanExpression); - setState(742); + setState(741); if (!(precpred(_ctx, 5))) throw new FailedPredicateException(this, "precpred(_ctx, 5)"); - setState(743); + setState(742); ((LogicalBinaryContext)_localctx).operator = match(AND); - setState(744); + setState(743); ((LogicalBinaryContext)_localctx).right = booleanExpression(6); } break; @@ -5856,18 +5854,18 @@ private BooleanExpressionContext booleanExpression(int _p) throws RecognitionExc _localctx = new LogicalBinaryContext(new BooleanExpressionContext(_parentctx, _parentState)); ((LogicalBinaryContext)_localctx).left = _prevctx; pushNewRecursionContext(_localctx, _startState, RULE_booleanExpression); - setState(745); + setState(744); if (!(precpred(_ctx, 4))) throw new FailedPredicateException(this, "precpred(_ctx, 4)"); - setState(746); + setState(745); ((LogicalBinaryContext)_localctx).operator = match(OR); - setState(747); + setState(746); ((LogicalBinaryContext)_localctx).right = booleanExpression(5); } break; } } } - setState(752); + setState(751); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,62,_ctx); } @@ -6026,28 +6024,28 @@ public final RegexBooleanExpressionContext regexBooleanExpression() throws Recog enterRule(_localctx, 150, RULE_regexBooleanExpression); int _la; try { - setState(799); + setState(798); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,69,_ctx) ) { case 1: _localctx = new LikeExpressionContext(_localctx); enterOuterAlt(_localctx, 1); { - setState(753); + setState(752); valueExpression(); - setState(755); + setState(754); _errHandler.sync(this); _la = _input.LA(1); if (_la==NOT) { { - setState(754); + setState(753); match(NOT); } } - setState(757); + setState(756); match(LIKE); - setState(758); + setState(757); stringOrParameter(); } break; @@ -6055,21 +6053,21 @@ public final RegexBooleanExpressionContext regexBooleanExpression() throws Recog _localctx = new RlikeExpressionContext(_localctx); enterOuterAlt(_localctx, 2); { - setState(760); + setState(759); valueExpression(); - setState(762); + setState(761); _errHandler.sync(this); _la = _input.LA(1); if (_la==NOT) { { - setState(761); + setState(760); match(NOT); } } - setState(764); + setState(763); match(RLIKE); - setState(765); + setState(764); stringOrParameter(); } break; @@ -6077,41 +6075,41 @@ public final RegexBooleanExpressionContext regexBooleanExpression() throws Recog _localctx = new LikeListExpressionContext(_localctx); enterOuterAlt(_localctx, 3); { - setState(767); + setState(766); valueExpression(); - setState(769); + setState(768); _errHandler.sync(this); _la = _input.LA(1); if (_la==NOT) { { - setState(768); + setState(767); match(NOT); } } - setState(771); + setState(770); match(LIKE); - setState(772); + setState(771); match(LP); - setState(773); + setState(772); stringOrParameter(); - setState(778); + setState(777); _errHandler.sync(this); _la = _input.LA(1); while (_la==COMMA) { { { - setState(774); + setState(773); match(COMMA); - setState(775); + setState(774); stringOrParameter(); } } - setState(780); + setState(779); _errHandler.sync(this); _la = _input.LA(1); } - setState(781); + setState(780); match(RP); } break; @@ -6119,41 +6117,41 @@ public final RegexBooleanExpressionContext regexBooleanExpression() throws Recog _localctx = new RlikeListExpressionContext(_localctx); enterOuterAlt(_localctx, 4); { - setState(783); + setState(782); valueExpression(); - setState(785); + setState(784); _errHandler.sync(this); _la = _input.LA(1); if (_la==NOT) { { - setState(784); + setState(783); match(NOT); } } - setState(787); + setState(786); match(RLIKE); - setState(788); + setState(787); match(LP); - setState(789); + setState(788); stringOrParameter(); - setState(794); + setState(793); _errHandler.sync(this); _la = _input.LA(1); while (_la==COMMA) { { { - setState(790); + setState(789); match(COMMA); - setState(791); + setState(790); stringOrParameter(); } } - setState(796); + setState(795); _errHandler.sync(this); _la = _input.LA(1); } - setState(797); + setState(796); match(RP); } break; @@ -6213,23 +6211,23 @@ public final MatchBooleanExpressionContext matchBooleanExpression() throws Recog try { enterOuterAlt(_localctx, 1); { - setState(801); + setState(800); ((MatchBooleanExpressionContext)_localctx).fieldExp = qualifiedName(); - setState(804); + setState(803); _errHandler.sync(this); _la = _input.LA(1); if (_la==CAST_OP) { { - setState(802); + setState(801); match(CAST_OP); - setState(803); + setState(802); ((MatchBooleanExpressionContext)_localctx).fieldType = dataType(); } } - setState(806); + setState(805); match(COLON); - setState(807); + setState(806); ((MatchBooleanExpressionContext)_localctx).matchQuery = constant(); } } @@ -6313,14 +6311,14 @@ public final ValueExpressionContext valueExpression() throws RecognitionExceptio ValueExpressionContext _localctx = new ValueExpressionContext(_ctx, getState()); enterRule(_localctx, 154, RULE_valueExpression); try { - setState(814); + setState(813); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,71,_ctx) ) { case 1: _localctx = new ValueExpressionDefaultContext(_localctx); enterOuterAlt(_localctx, 1); { - setState(809); + setState(808); operatorExpression(0); } break; @@ -6328,11 +6326,11 @@ public final ValueExpressionContext valueExpression() throws RecognitionExceptio _localctx = new ComparisonContext(_localctx); enterOuterAlt(_localctx, 2); { - setState(810); + setState(809); ((ComparisonContext)_localctx).left = operatorExpression(0); - setState(811); + setState(810); comparisonOperator(); - setState(812); + setState(811); ((ComparisonContext)_localctx).right = operatorExpression(0); } break; @@ -6457,7 +6455,7 @@ private OperatorExpressionContext operatorExpression(int _p) throws RecognitionE int _alt; enterOuterAlt(_localctx, 1); { - setState(820); + setState(819); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,72,_ctx) ) { case 1: @@ -6466,7 +6464,7 @@ private OperatorExpressionContext operatorExpression(int _p) throws RecognitionE _ctx = _localctx; _prevctx = _localctx; - setState(817); + setState(816); primaryExpression(0); } break; @@ -6475,7 +6473,7 @@ private OperatorExpressionContext operatorExpression(int _p) throws RecognitionE _localctx = new ArithmeticUnaryContext(_localctx); _ctx = _localctx; _prevctx = _localctx; - setState(818); + setState(817); ((ArithmeticUnaryContext)_localctx).operator = _input.LT(1); _la = _input.LA(1); if ( !(_la==PLUS || _la==MINUS) ) { @@ -6486,13 +6484,13 @@ private OperatorExpressionContext operatorExpression(int _p) throws RecognitionE _errHandler.reportMatch(this); consume(); } - setState(819); + setState(818); operatorExpression(3); } break; } _ctx.stop = _input.LT(-1); - setState(830); + setState(829); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,74,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { @@ -6500,7 +6498,7 @@ private OperatorExpressionContext operatorExpression(int _p) throws RecognitionE if ( _parseListeners!=null ) triggerExitRuleEvent(); _prevctx = _localctx; { - setState(828); + setState(827); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,73,_ctx) ) { case 1: @@ -6508,9 +6506,9 @@ private OperatorExpressionContext operatorExpression(int _p) throws RecognitionE _localctx = new ArithmeticBinaryContext(new OperatorExpressionContext(_parentctx, _parentState)); ((ArithmeticBinaryContext)_localctx).left = _prevctx; pushNewRecursionContext(_localctx, _startState, RULE_operatorExpression); - setState(822); + setState(821); if (!(precpred(_ctx, 2))) throw new FailedPredicateException(this, "precpred(_ctx, 2)"); - setState(823); + setState(822); ((ArithmeticBinaryContext)_localctx).operator = _input.LT(1); _la = _input.LA(1); if ( !(((((_la - 89)) & ~0x3f) == 0 && ((1L << (_la - 89)) & 7L) != 0)) ) { @@ -6521,7 +6519,7 @@ private OperatorExpressionContext operatorExpression(int _p) throws RecognitionE _errHandler.reportMatch(this); consume(); } - setState(824); + setState(823); ((ArithmeticBinaryContext)_localctx).right = operatorExpression(3); } break; @@ -6530,9 +6528,9 @@ private OperatorExpressionContext operatorExpression(int _p) throws RecognitionE _localctx = new ArithmeticBinaryContext(new OperatorExpressionContext(_parentctx, _parentState)); ((ArithmeticBinaryContext)_localctx).left = _prevctx; pushNewRecursionContext(_localctx, _startState, RULE_operatorExpression); - setState(825); + setState(824); if (!(precpred(_ctx, 1))) throw new FailedPredicateException(this, "precpred(_ctx, 1)"); - setState(826); + setState(825); ((ArithmeticBinaryContext)_localctx).operator = _input.LT(1); _la = _input.LA(1); if ( !(_la==PLUS || _la==MINUS) ) { @@ -6543,14 +6541,14 @@ private OperatorExpressionContext operatorExpression(int _p) throws RecognitionE _errHandler.reportMatch(this); consume(); } - setState(827); + setState(826); ((ArithmeticBinaryContext)_localctx).right = operatorExpression(2); } break; } } } - setState(832); + setState(831); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,74,_ctx); } @@ -6708,7 +6706,7 @@ private PrimaryExpressionContext primaryExpression(int _p) throws RecognitionExc int _alt; enterOuterAlt(_localctx, 1); { - setState(841); + setState(840); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,75,_ctx) ) { case 1: @@ -6717,7 +6715,7 @@ private PrimaryExpressionContext primaryExpression(int _p) throws RecognitionExc _ctx = _localctx; _prevctx = _localctx; - setState(834); + setState(833); constant(); } break; @@ -6726,7 +6724,7 @@ private PrimaryExpressionContext primaryExpression(int _p) throws RecognitionExc _localctx = new DereferenceContext(_localctx); _ctx = _localctx; _prevctx = _localctx; - setState(835); + setState(834); qualifiedName(); } break; @@ -6735,7 +6733,7 @@ private PrimaryExpressionContext primaryExpression(int _p) throws RecognitionExc _localctx = new FunctionContext(_localctx); _ctx = _localctx; _prevctx = _localctx; - setState(836); + setState(835); functionExpression(); } break; @@ -6744,17 +6742,17 @@ private PrimaryExpressionContext primaryExpression(int _p) throws RecognitionExc _localctx = new ParenthesizedExpressionContext(_localctx); _ctx = _localctx; _prevctx = _localctx; - setState(837); + setState(836); match(LP); - setState(838); + setState(837); booleanExpression(0); - setState(839); + setState(838); match(RP); } break; } _ctx.stop = _input.LT(-1); - setState(848); + setState(847); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,76,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { @@ -6765,16 +6763,16 @@ private PrimaryExpressionContext primaryExpression(int _p) throws RecognitionExc { _localctx = new InlineCastContext(new PrimaryExpressionContext(_parentctx, _parentState)); pushNewRecursionContext(_localctx, _startState, RULE_primaryExpression); - setState(843); + setState(842); if (!(precpred(_ctx, 1))) throw new FailedPredicateException(this, "precpred(_ctx, 1)"); - setState(844); + setState(843); match(CAST_OP); - setState(845); + setState(844); dataType(); } } } - setState(850); + setState(849); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,76,_ctx); } @@ -6840,50 +6838,50 @@ public final FunctionExpressionContext functionExpression() throws RecognitionEx int _alt; enterOuterAlt(_localctx, 1); { - setState(851); + setState(850); functionName(); - setState(852); + setState(851); match(LP); - setState(866); + setState(865); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,79,_ctx) ) { case 1: { - setState(853); + setState(852); match(ASTERISK); } break; case 2: { { - setState(854); + setState(853); booleanExpression(0); - setState(859); + setState(858); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,77,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(855); + setState(854); match(COMMA); - setState(856); + setState(855); booleanExpression(0); } } } - setState(861); + setState(860); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,77,_ctx); } - setState(864); + setState(863); _errHandler.sync(this); _la = _input.LA(1); if (_la==COMMA) { { - setState(862); + setState(861); match(COMMA); - setState(863); + setState(862); mapExpression(); } } @@ -6892,7 +6890,7 @@ public final FunctionExpressionContext functionExpression() throws RecognitionEx } break; } - setState(868); + setState(867); match(RP); } } @@ -6938,7 +6936,7 @@ public final FunctionNameContext functionName() throws RecognitionException { FunctionNameContext _localctx = new FunctionNameContext(_ctx, getState()); enterRule(_localctx, 162, RULE_functionName); try { - setState(873); + setState(872); _errHandler.sync(this); switch (_input.LA(1)) { case PARAM: @@ -6949,21 +6947,21 @@ public final FunctionNameContext functionName() throws RecognitionException { case QUOTED_IDENTIFIER: enterOuterAlt(_localctx, 1); { - setState(870); + setState(869); identifierOrParameter(); } break; case FIRST: enterOuterAlt(_localctx, 2); { - setState(871); + setState(870); match(FIRST); } break; case LAST: enterOuterAlt(_localctx, 3); { - setState(872); + setState(871); match(LAST); } break; @@ -7023,35 +7021,35 @@ public final MapExpressionContext mapExpression() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(875); + setState(874); match(LEFT_BRACES); - setState(884); + setState(883); _errHandler.sync(this); _la = _input.LA(1); if (_la==QUOTED_STRING) { { - setState(876); + setState(875); entryExpression(); - setState(881); + setState(880); _errHandler.sync(this); _la = _input.LA(1); while (_la==COMMA) { { { - setState(877); + setState(876); match(COMMA); - setState(878); + setState(877); entryExpression(); } } - setState(883); + setState(882); _errHandler.sync(this); _la = _input.LA(1); } } } - setState(886); + setState(885); match(RIGHT_BRACES); } } @@ -7103,11 +7101,11 @@ public final EntryExpressionContext entryExpression() throws RecognitionExceptio try { enterOuterAlt(_localctx, 1); { - setState(888); + setState(887); ((EntryExpressionContext)_localctx).key = string(); - setState(889); + setState(888); match(COLON); - setState(890); + setState(889); ((EntryExpressionContext)_localctx).value = mapValue(); } } @@ -7154,7 +7152,7 @@ public final MapValueContext mapValue() throws RecognitionException { MapValueContext _localctx = new MapValueContext(_ctx, getState()); enterRule(_localctx, 168, RULE_mapValue); try { - setState(894); + setState(893); _errHandler.sync(this); switch (_input.LA(1)) { case QUOTED_STRING: @@ -7170,14 +7168,14 @@ public final MapValueContext mapValue() throws RecognitionException { case OPENING_BRACKET: enterOuterAlt(_localctx, 1); { - setState(892); + setState(891); constant(); } break; case LEFT_BRACES: enterOuterAlt(_localctx, 2); { - setState(893); + setState(892); mapExpression(); } break; @@ -7452,14 +7450,14 @@ public final ConstantContext constant() throws RecognitionException { enterRule(_localctx, 170, RULE_constant); int _la; try { - setState(938); + setState(937); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,87,_ctx) ) { case 1: _localctx = new NullLiteralContext(_localctx); enterOuterAlt(_localctx, 1); { - setState(896); + setState(895); match(NULL); } break; @@ -7467,9 +7465,9 @@ public final ConstantContext constant() throws RecognitionException { _localctx = new QualifiedIntegerLiteralContext(_localctx); enterOuterAlt(_localctx, 2); { - setState(897); + setState(896); integerValue(); - setState(898); + setState(897); match(UNQUOTED_IDENTIFIER); } break; @@ -7477,7 +7475,7 @@ public final ConstantContext constant() throws RecognitionException { _localctx = new DecimalLiteralContext(_localctx); enterOuterAlt(_localctx, 3); { - setState(900); + setState(899); decimalValue(); } break; @@ -7485,7 +7483,7 @@ public final ConstantContext constant() throws RecognitionException { _localctx = new IntegerLiteralContext(_localctx); enterOuterAlt(_localctx, 4); { - setState(901); + setState(900); integerValue(); } break; @@ -7493,7 +7491,7 @@ public final ConstantContext constant() throws RecognitionException { _localctx = new BooleanLiteralContext(_localctx); enterOuterAlt(_localctx, 5); { - setState(902); + setState(901); booleanValue(); } break; @@ -7501,7 +7499,7 @@ public final ConstantContext constant() throws RecognitionException { _localctx = new InputParameterContext(_localctx); enterOuterAlt(_localctx, 6); { - setState(903); + setState(902); parameter(); } break; @@ -7509,7 +7507,7 @@ public final ConstantContext constant() throws RecognitionException { _localctx = new StringLiteralContext(_localctx); enterOuterAlt(_localctx, 7); { - setState(904); + setState(903); string(); } break; @@ -7517,27 +7515,27 @@ public final ConstantContext constant() throws RecognitionException { _localctx = new NumericArrayLiteralContext(_localctx); enterOuterAlt(_localctx, 8); { - setState(905); + setState(904); match(OPENING_BRACKET); - setState(906); + setState(905); numericValue(); - setState(911); + setState(910); _errHandler.sync(this); _la = _input.LA(1); while (_la==COMMA) { { { - setState(907); + setState(906); match(COMMA); - setState(908); + setState(907); numericValue(); } } - setState(913); + setState(912); _errHandler.sync(this); _la = _input.LA(1); } - setState(914); + setState(913); match(CLOSING_BRACKET); } break; @@ -7545,27 +7543,27 @@ public final ConstantContext constant() throws RecognitionException { _localctx = new BooleanArrayLiteralContext(_localctx); enterOuterAlt(_localctx, 9); { - setState(916); + setState(915); match(OPENING_BRACKET); - setState(917); + setState(916); booleanValue(); - setState(922); + setState(921); _errHandler.sync(this); _la = _input.LA(1); while (_la==COMMA) { { { - setState(918); + setState(917); match(COMMA); - setState(919); + setState(918); booleanValue(); } } - setState(924); + setState(923); _errHandler.sync(this); _la = _input.LA(1); } - setState(925); + setState(924); match(CLOSING_BRACKET); } break; @@ -7573,27 +7571,27 @@ public final ConstantContext constant() throws RecognitionException { _localctx = new StringArrayLiteralContext(_localctx); enterOuterAlt(_localctx, 10); { - setState(927); + setState(926); match(OPENING_BRACKET); - setState(928); + setState(927); string(); - setState(933); + setState(932); _errHandler.sync(this); _la = _input.LA(1); while (_la==COMMA) { { { - setState(929); + setState(928); match(COMMA); - setState(930); + setState(929); string(); } } - setState(935); + setState(934); _errHandler.sync(this); _la = _input.LA(1); } - setState(936); + setState(935); match(CLOSING_BRACKET); } break; @@ -7641,7 +7639,7 @@ public final BooleanValueContext booleanValue() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(940); + setState(939); _la = _input.LA(1); if ( !(_la==FALSE || _la==TRUE) ) { _errHandler.recoverInline(this); @@ -7696,20 +7694,20 @@ public final NumericValueContext numericValue() throws RecognitionException { NumericValueContext _localctx = new NumericValueContext(_ctx, getState()); enterRule(_localctx, 174, RULE_numericValue); try { - setState(944); + setState(943); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,88,_ctx) ) { case 1: enterOuterAlt(_localctx, 1); { - setState(942); + setState(941); decimalValue(); } break; case 2: enterOuterAlt(_localctx, 2); { - setState(943); + setState(942); integerValue(); } break; @@ -7758,12 +7756,12 @@ public final DecimalValueContext decimalValue() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(947); + setState(946); _errHandler.sync(this); _la = _input.LA(1); if (_la==PLUS || _la==MINUS) { { - setState(946); + setState(945); _la = _input.LA(1); if ( !(_la==PLUS || _la==MINUS) ) { _errHandler.recoverInline(this); @@ -7776,7 +7774,7 @@ public final DecimalValueContext decimalValue() throws RecognitionException { } } - setState(949); + setState(948); match(DECIMAL_LITERAL); } } @@ -7823,12 +7821,12 @@ public final IntegerValueContext integerValue() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(952); + setState(951); _errHandler.sync(this); _la = _input.LA(1); if (_la==PLUS || _la==MINUS) { { - setState(951); + setState(950); _la = _input.LA(1); if ( !(_la==PLUS || _la==MINUS) ) { _errHandler.recoverInline(this); @@ -7841,7 +7839,7 @@ public final IntegerValueContext integerValue() throws RecognitionException { } } - setState(954); + setState(953); match(INTEGER_LITERAL); } } @@ -7885,7 +7883,7 @@ public final StringContext string() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(956); + setState(955); match(QUOTED_STRING); } } @@ -7935,7 +7933,7 @@ public final ComparisonOperatorContext comparisonOperator() throws RecognitionEx try { enterOuterAlt(_localctx, 1); { - setState(958); + setState(957); _la = _input.LA(1); if ( !(((((_la - 80)) & ~0x3f) == 0 && ((1L << (_la - 80)) & 125L) != 0)) ) { _errHandler.recoverInline(this); @@ -7998,7 +7996,7 @@ public final JoinCommandContext joinCommand() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(960); + setState(959); ((JoinCommandContext)_localctx).type = _input.LT(1); _la = _input.LA(1); if ( !((((_la) & ~0x3f) == 0 && ((1L << _la) & 218103808L) != 0)) ) { @@ -8009,11 +8007,11 @@ public final JoinCommandContext joinCommand() throws RecognitionException { _errHandler.reportMatch(this); consume(); } - setState(961); + setState(960); match(JOIN); - setState(962); + setState(961); joinTarget(); - setState(963); + setState(962); joinCondition(); } } @@ -8062,34 +8060,34 @@ public final JoinTargetContext joinTarget() throws RecognitionException { enterRule(_localctx, 186, RULE_joinTarget); int _la; try { - setState(973); + setState(972); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,92,_ctx) ) { case 1: enterOuterAlt(_localctx, 1); { - setState(965); + setState(964); if (!(this.isDevVersion())) throw new FailedPredicateException(this, "this.isDevVersion()"); - setState(966); + setState(965); ((JoinTargetContext)_localctx).index = indexPattern(); - setState(968); + setState(967); _errHandler.sync(this); _la = _input.LA(1); if (_la==AS) { { - setState(967); + setState(966); match(AS); } } - setState(970); + setState(969); ((JoinTargetContext)_localctx).qualifier = match(UNQUOTED_SOURCE); } break; case 2: enterOuterAlt(_localctx, 2); { - setState(972); + setState(971); ((JoinTargetContext)_localctx).index = indexPattern(); } break; @@ -8146,25 +8144,25 @@ public final JoinConditionContext joinCondition() throws RecognitionException { int _alt; enterOuterAlt(_localctx, 1); { - setState(975); + setState(974); match(ON); - setState(976); + setState(975); booleanExpression(0); - setState(981); + setState(980); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,93,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(977); + setState(976); match(COMMA); - setState(978); + setState(977); booleanExpression(0); } } } - setState(983); + setState(982); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,93,_ctx); } @@ -8183,7 +8181,7 @@ public final JoinConditionContext joinCondition() throws RecognitionException { @SuppressWarnings("CheckReturnValue") public static class PromqlCommandContext extends ParserRuleContext { - public TerminalNode DEV_PROMQL() { return getToken(EsqlBaseParser.DEV_PROMQL, 0); } + public TerminalNode PROMQL() { return getToken(EsqlBaseParser.PROMQL, 0); } public TerminalNode LP() { return getToken(EsqlBaseParser.LP, 0); } public TerminalNode RP() { return getToken(EsqlBaseParser.RP, 0); } public List promqlParam() { @@ -8228,84 +8226,84 @@ public final PromqlCommandContext promqlCommand() throws RecognitionException { int _la; try { int _alt; - setState(1016); + setState(1015); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,99,_ctx) ) { case 1: enterOuterAlt(_localctx, 1); { - setState(984); - match(DEV_PROMQL); - setState(988); + setState(983); + match(PROMQL); + setState(987); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,94,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(985); + setState(984); promqlParam(); } } } - setState(990); + setState(989); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,94,_ctx); } - setState(994); + setState(993); _errHandler.sync(this); _la = _input.LA(1); if (_la==UNQUOTED_IDENTIFIER || _la==QUOTED_IDENTIFIER) { { - setState(991); + setState(990); valueName(); - setState(992); + setState(991); match(ASSIGN); } } - setState(996); + setState(995); match(LP); - setState(998); + setState(997); _errHandler.sync(this); _la = _input.LA(1); do { { { - setState(997); + setState(996); promqlQueryPart(); } } - setState(1000); + setState(999); _errHandler.sync(this); _la = _input.LA(1); } while ( (((_la) & ~0x3f) == 0 && ((1L << _la) & 6489687063040884736L) != 0) || ((((_la - 95)) & ~0x3f) == 0 && ((1L << (_la - 95)) & 7881299347902673L) != 0) ); - setState(1002); + setState(1001); match(RP); } break; case 2: enterOuterAlt(_localctx, 2); { - setState(1004); - match(DEV_PROMQL); - setState(1008); + setState(1003); + match(PROMQL); + setState(1007); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,97,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(1005); + setState(1004); promqlParam(); } } } - setState(1010); + setState(1009); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,97,_ctx); } - setState(1012); + setState(1011); _errHandler.sync(this); _alt = 1; do { @@ -8313,7 +8311,7 @@ public final PromqlCommandContext promqlCommand() throws RecognitionException { case 1: { { - setState(1011); + setState(1010); promqlQueryPart(); } } @@ -8321,7 +8319,7 @@ public final PromqlCommandContext promqlCommand() throws RecognitionException { default: throw new NoViableAltException(this); } - setState(1014); + setState(1013); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,98,_ctx); } while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ); @@ -8371,7 +8369,7 @@ public final ValueNameContext valueName() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(1018); + setState(1017); _la = _input.LA(1); if ( !(_la==UNQUOTED_IDENTIFIER || _la==QUOTED_IDENTIFIER) ) { _errHandler.recoverInline(this); @@ -8431,11 +8429,11 @@ public final PromqlParamContext promqlParam() throws RecognitionException { try { enterOuterAlt(_localctx, 1); { - setState(1020); + setState(1019); ((PromqlParamContext)_localctx).name = promqlParamName(); - setState(1021); + setState(1020); match(ASSIGN); - setState(1022); + setState(1021); ((PromqlParamContext)_localctx).value = promqlParamValue(); } } @@ -8483,7 +8481,7 @@ public final PromqlParamNameContext promqlParamName() throws RecognitionExceptio try { enterOuterAlt(_localctx, 1); { - setState(1024); + setState(1023); _la = _input.LA(1); if ( !(((((_la - 52)) & ~0x3f) == 0 && ((1L << (_la - 52)) & 1697645953286145L) != 0)) ) { _errHandler.recoverInline(this); @@ -8545,7 +8543,7 @@ public final PromqlParamValueContext promqlParamValue() throws RecognitionExcept enterRule(_localctx, 198, RULE_promqlParamValue); try { int _alt; - setState(1036); + setState(1035); _errHandler.sync(this); switch (_input.LA(1)) { case QUOTED_STRING: @@ -8553,23 +8551,23 @@ public final PromqlParamValueContext promqlParamValue() throws RecognitionExcept case UNQUOTED_SOURCE: enterOuterAlt(_localctx, 1); { - setState(1026); + setState(1025); promqlIndexPattern(); - setState(1031); + setState(1030); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,100,_ctx); while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ) { if ( _alt==1 ) { { { - setState(1027); + setState(1026); match(COMMA); - setState(1028); + setState(1027); promqlIndexPattern(); } } } - setState(1033); + setState(1032); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,100,_ctx); } @@ -8578,14 +8576,14 @@ public final PromqlParamValueContext promqlParamValue() throws RecognitionExcept case QUOTED_IDENTIFIER: enterOuterAlt(_localctx, 2); { - setState(1034); + setState(1033); match(QUOTED_IDENTIFIER); } break; case NAMED_OR_POSITIONAL_PARAM: enterOuterAlt(_localctx, 3); { - setState(1035); + setState(1034); match(NAMED_OR_POSITIONAL_PARAM); } break; @@ -8645,7 +8643,7 @@ public final PromqlQueryContentContext promqlQueryContent() throws RecognitionEx try { enterOuterAlt(_localctx, 1); { - setState(1038); + setState(1037); _la = _input.LA(1); if ( !((((_la) & ~0x3f) == 0 && ((1L << _la) & 6489687063040884736L) != 0) || ((((_la - 95)) & ~0x3f) == 0 && ((1L << (_la - 95)) & 7881299347902657L) != 0)) ) { _errHandler.recoverInline(this); @@ -8710,7 +8708,7 @@ public final PromqlQueryPartContext promqlQueryPart() throws RecognitionExceptio int _la; try { int _alt; - setState(1053); + setState(1052); _errHandler.sync(this); switch (_input.LA(1)) { case QUOTED_STRING: @@ -8727,7 +8725,7 @@ public final PromqlQueryPartContext promqlQueryPart() throws RecognitionExceptio case PROMQL_OTHER_QUERY_CONTENT: enterOuterAlt(_localctx, 1); { - setState(1041); + setState(1040); _errHandler.sync(this); _alt = 1; do { @@ -8735,7 +8733,7 @@ public final PromqlQueryPartContext promqlQueryPart() throws RecognitionExceptio case 1: { { - setState(1040); + setState(1039); promqlQueryContent(); } } @@ -8743,7 +8741,7 @@ public final PromqlQueryPartContext promqlQueryPart() throws RecognitionExceptio default: throw new NoViableAltException(this); } - setState(1043); + setState(1042); _errHandler.sync(this); _alt = getInterpreter().adaptivePredict(_input,102,_ctx); } while ( _alt!=2 && _alt!=org.antlr.v4.runtime.atn.ATN.INVALID_ALT_NUMBER ); @@ -8752,23 +8750,23 @@ public final PromqlQueryPartContext promqlQueryPart() throws RecognitionExceptio case LP: enterOuterAlt(_localctx, 2); { - setState(1045); + setState(1044); match(LP); - setState(1049); + setState(1048); _errHandler.sync(this); _la = _input.LA(1); while ((((_la) & ~0x3f) == 0 && ((1L << _la) & 6489687063040884736L) != 0) || ((((_la - 95)) & ~0x3f) == 0 && ((1L << (_la - 95)) & 7881299347902673L) != 0)) { { { - setState(1046); + setState(1045); promqlQueryPart(); } } - setState(1051); + setState(1050); _errHandler.sync(this); _la = _input.LA(1); } - setState(1052); + setState(1051); match(RP); } break; @@ -8827,35 +8825,35 @@ public final PromqlIndexPatternContext promqlIndexPattern() throws RecognitionEx PromqlIndexPatternContext _localctx = new PromqlIndexPatternContext(_ctx, getState()); enterRule(_localctx, 204, RULE_promqlIndexPattern); try { - setState(1064); + setState(1063); _errHandler.sync(this); switch ( getInterpreter().adaptivePredict(_input,105,_ctx) ) { case 1: enterOuterAlt(_localctx, 1); { - setState(1055); + setState(1054); promqlClusterString(); - setState(1056); + setState(1055); match(COLON); - setState(1057); + setState(1056); promqlUnquotedIndexString(); } break; case 2: enterOuterAlt(_localctx, 2); { - setState(1059); + setState(1058); promqlUnquotedIndexString(); - setState(1060); + setState(1059); match(CAST_OP); - setState(1061); + setState(1060); promqlSelectorString(); } break; case 3: enterOuterAlt(_localctx, 3); { - setState(1063); + setState(1062); promqlIndexString(); } break; @@ -8903,7 +8901,7 @@ public final PromqlClusterStringContext promqlClusterString() throws Recognition try { enterOuterAlt(_localctx, 1); { - setState(1066); + setState(1065); _la = _input.LA(1); if ( !(_la==UNQUOTED_IDENTIFIER || _la==UNQUOTED_SOURCE) ) { _errHandler.recoverInline(this); @@ -8957,7 +8955,7 @@ public final PromqlSelectorStringContext promqlSelectorString() throws Recogniti try { enterOuterAlt(_localctx, 1); { - setState(1068); + setState(1067); _la = _input.LA(1); if ( !(_la==UNQUOTED_IDENTIFIER || _la==UNQUOTED_SOURCE) ) { _errHandler.recoverInline(this); @@ -9011,7 +9009,7 @@ public final PromqlUnquotedIndexStringContext promqlUnquotedIndexString() throws try { enterOuterAlt(_localctx, 1); { - setState(1070); + setState(1069); _la = _input.LA(1); if ( !(_la==UNQUOTED_IDENTIFIER || _la==UNQUOTED_SOURCE) ) { _errHandler.recoverInline(this); @@ -9066,7 +9064,7 @@ public final PromqlIndexStringContext promqlIndexString() throws RecognitionExce try { enterOuterAlt(_localctx, 1); { - setState(1072); + setState(1071); _la = _input.LA(1); if ( !(((((_la - 52)) & ~0x3f) == 0 && ((1L << (_la - 52)) & 36591746972385281L) != 0)) ) { _errHandler.recoverInline(this); @@ -9127,83 +9125,81 @@ private boolean sourceCommand_sempred(SourceCommandContext _localctx, int predIn switch (predIndex) { case 1: return this.isDevVersion(); - case 2: - return this.isDevVersion(); } return true; } private boolean processingCommand_sempred(ProcessingCommandContext _localctx, int predIndex) { switch (predIndex) { - case 3: + case 2: return this.isDevVersion(); - case 4: + case 3: return this.isDevVersion(); } return true; } private boolean indexPatternOrSubquery_sempred(IndexPatternOrSubqueryContext _localctx, int predIndex) { switch (predIndex) { - case 5: + case 4: return this.isDevVersion(); } return true; } private boolean qualifiedName_sempred(QualifiedNameContext _localctx, int predIndex) { switch (predIndex) { - case 6: + case 5: return this.isDevVersion(); } return true; } private boolean qualifiedNamePattern_sempred(QualifiedNamePatternContext _localctx, int predIndex) { switch (predIndex) { - case 7: + case 6: return this.isDevVersion(); } return true; } private boolean forkSubQueryCommand_sempred(ForkSubQueryCommandContext _localctx, int predIndex) { switch (predIndex) { - case 8: + case 7: return precpred(_ctx, 1); } return true; } private boolean booleanExpression_sempred(BooleanExpressionContext _localctx, int predIndex) { switch (predIndex) { - case 9: + case 8: return precpred(_ctx, 5); - case 10: + case 9: return precpred(_ctx, 4); } return true; } private boolean operatorExpression_sempred(OperatorExpressionContext _localctx, int predIndex) { switch (predIndex) { - case 11: + case 10: return precpred(_ctx, 2); - case 12: + case 11: return precpred(_ctx, 1); } return true; } private boolean primaryExpression_sempred(PrimaryExpressionContext _localctx, int predIndex) { switch (predIndex) { - case 13: + case 12: return precpred(_ctx, 1); } return true; } private boolean joinTarget_sempred(JoinTargetContext _localctx, int predIndex) { switch (predIndex) { - case 14: + case 13: return this.isDevVersion(); } return true; } public static final String _serializedATN = - "\u0004\u0001\u009e\u0433\u0002\u0000\u0007\u0000\u0002\u0001\u0007\u0001"+ + "\u0004\u0001\u009e\u0432\u0002\u0000\u0007\u0000\u0002\u0001\u0007\u0001"+ "\u0002\u0002\u0007\u0002\u0002\u0003\u0007\u0003\u0002\u0004\u0007\u0004"+ "\u0002\u0005\u0007\u0005\u0002\u0006\u0007\u0006\u0002\u0007\u0007\u0007"+ "\u0002\b\u0007\b\u0002\t\u0007\t\u0002\n\u0007\n\u0002\u000b\u0007\u000b"+ @@ -9233,99 +9229,99 @@ private boolean joinTarget_sempred(JoinTargetContext _localctx, int predIndex) { "\u0001\u0001\u0001\u0001\u0001\u0001\u0002\u0001\u0002\u0001\u0002\u0001"+ "\u0002\u0001\u0002\u0001\u0002\u0005\u0002\u00e9\b\u0002\n\u0002\f\u0002"+ "\u00ec\t\u0002\u0001\u0003\u0001\u0003\u0001\u0003\u0001\u0003\u0001\u0003"+ - "\u0001\u0003\u0001\u0003\u0001\u0003\u0003\u0003\u00f6\b\u0003\u0001\u0004"+ + "\u0001\u0003\u0001\u0003\u0003\u0003\u00f5\b\u0003\u0001\u0004\u0001\u0004"+ "\u0001\u0004\u0001\u0004\u0001\u0004\u0001\u0004\u0001\u0004\u0001\u0004"+ "\u0001\u0004\u0001\u0004\u0001\u0004\u0001\u0004\u0001\u0004\u0001\u0004"+ "\u0001\u0004\u0001\u0004\u0001\u0004\u0001\u0004\u0001\u0004\u0001\u0004"+ - "\u0001\u0004\u0001\u0004\u0001\u0004\u0001\u0004\u0001\u0004\u0003\u0004"+ - "\u0110\b\u0004\u0001\u0005\u0001\u0005\u0001\u0005\u0001\u0006\u0001\u0006"+ - "\u0001\u0007\u0001\u0007\u0001\u0007\u0001\b\u0001\b\u0001\b\u0005\b\u011d"+ - "\b\b\n\b\f\b\u0120\t\b\u0001\t\u0001\t\u0001\t\u0003\t\u0125\b\t\u0001"+ - "\t\u0001\t\u0001\n\u0001\n\u0001\n\u0005\n\u012c\b\n\n\n\f\n\u012f\t\n"+ - "\u0001\u000b\u0001\u000b\u0001\u000b\u0003\u000b\u0134\b\u000b\u0001\f"+ - "\u0001\f\u0001\f\u0001\r\u0001\r\u0001\r\u0001\u000e\u0001\u000e\u0001"+ - "\u000e\u0005\u000e\u013f\b\u000e\n\u000e\f\u000e\u0142\t\u000e\u0001\u000e"+ - "\u0003\u000e\u0145\b\u000e\u0001\u000f\u0001\u000f\u0001\u000f\u0003\u000f"+ - "\u014a\b\u000f\u0001\u0010\u0001\u0010\u0001\u0010\u0001\u0010\u0005\u0010"+ - "\u0150\b\u0010\n\u0010\f\u0010\u0153\t\u0010\u0001\u0010\u0001\u0010\u0001"+ + "\u0001\u0004\u0001\u0004\u0001\u0004\u0001\u0004\u0003\u0004\u010f\b\u0004"+ + "\u0001\u0005\u0001\u0005\u0001\u0005\u0001\u0006\u0001\u0006\u0001\u0007"+ + "\u0001\u0007\u0001\u0007\u0001\b\u0001\b\u0001\b\u0005\b\u011c\b\b\n\b"+ + "\f\b\u011f\t\b\u0001\t\u0001\t\u0001\t\u0003\t\u0124\b\t\u0001\t\u0001"+ + "\t\u0001\n\u0001\n\u0001\n\u0005\n\u012b\b\n\n\n\f\n\u012e\t\n\u0001\u000b"+ + "\u0001\u000b\u0001\u000b\u0003\u000b\u0133\b\u000b\u0001\f\u0001\f\u0001"+ + "\f\u0001\r\u0001\r\u0001\r\u0001\u000e\u0001\u000e\u0001\u000e\u0005\u000e"+ + "\u013e\b\u000e\n\u000e\f\u000e\u0141\t\u000e\u0001\u000e\u0003\u000e\u0144"+ + "\b\u000e\u0001\u000f\u0001\u000f\u0001\u000f\u0003\u000f\u0149\b\u000f"+ + "\u0001\u0010\u0001\u0010\u0001\u0010\u0001\u0010\u0005\u0010\u014f\b\u0010"+ + "\n\u0010\f\u0010\u0152\t\u0010\u0001\u0010\u0001\u0010\u0001\u0011\u0001"+ "\u0011\u0001\u0011\u0001\u0011\u0001\u0011\u0001\u0011\u0001\u0011\u0001"+ - "\u0011\u0001\u0011\u0001\u0011\u0003\u0011\u0160\b\u0011\u0001\u0012\u0001"+ - "\u0012\u0001\u0013\u0001\u0013\u0001\u0014\u0001\u0014\u0001\u0015\u0001"+ - "\u0015\u0001\u0016\u0001\u0016\u0001\u0016\u0001\u0016\u0005\u0016\u016e"+ - "\b\u0016\n\u0016\f\u0016\u0171\t\u0016\u0001\u0017\u0001\u0017\u0001\u0017"+ - "\u0001\u0018\u0001\u0018\u0003\u0018\u0178\b\u0018\u0001\u0018\u0001\u0018"+ - "\u0003\u0018\u017c\b\u0018\u0001\u0019\u0001\u0019\u0001\u0019\u0005\u0019"+ - "\u0181\b\u0019\n\u0019\f\u0019\u0184\t\u0019\u0001\u001a\u0001\u001a\u0001"+ - "\u001a\u0003\u001a\u0189\b\u001a\u0001\u001b\u0001\u001b\u0001\u001b\u0003"+ - "\u001b\u018e\b\u001b\u0001\u001b\u0001\u001b\u0001\u001b\u0001\u001b\u0001"+ - "\u001b\u0001\u001b\u0001\u001b\u0003\u001b\u0197\b\u001b\u0001\u001c\u0001"+ - "\u001c\u0001\u001c\u0005\u001c\u019c\b\u001c\n\u001c\f\u001c\u019f\t\u001c"+ - "\u0001\u001d\u0001\u001d\u0001\u001d\u0003\u001d\u01a4\b\u001d\u0001\u001d"+ - "\u0001\u001d\u0001\u001d\u0001\u001d\u0001\u001d\u0001\u001d\u0001\u001d"+ - "\u0003\u001d\u01ad\b\u001d\u0001\u001e\u0001\u001e\u0001\u001e\u0005\u001e"+ - "\u01b2\b\u001e\n\u001e\f\u001e\u01b5\t\u001e\u0001\u001f\u0001\u001f\u0001"+ - "\u001f\u0005\u001f\u01ba\b\u001f\n\u001f\f\u001f\u01bd\t\u001f\u0001 "+ - "\u0001 \u0001!\u0001!\u0001!\u0003!\u01c4\b!\u0001\"\u0001\"\u0003\"\u01c8"+ - "\b\"\u0001#\u0001#\u0003#\u01cc\b#\u0001$\u0001$\u0001$\u0003$\u01d1\b"+ - "$\u0001%\u0001%\u0003%\u01d5\b%\u0001&\u0001&\u0001&\u0001\'\u0001\'\u0001"+ - "\'\u0001\'\u0005\'\u01de\b\'\n\'\f\'\u01e1\t\'\u0001(\u0001(\u0003(\u01e5"+ - "\b(\u0001(\u0001(\u0003(\u01e9\b(\u0001)\u0001)\u0001)\u0001*\u0001*\u0001"+ - "*\u0001+\u0001+\u0001+\u0001+\u0005+\u01f5\b+\n+\f+\u01f8\t+\u0001,\u0001"+ - ",\u0001,\u0001,\u0001,\u0001,\u0001,\u0001,\u0003,\u0202\b,\u0001-\u0001"+ - "-\u0001-\u0001-\u0003-\u0208\b-\u0001.\u0001.\u0001.\u0005.\u020d\b.\n"+ - ".\f.\u0210\t.\u0001/\u0001/\u0001/\u0001/\u00010\u00010\u00030\u0218\b"+ - "0\u00011\u00011\u00011\u00011\u00011\u00051\u021f\b1\n1\f1\u0222\t1\u0001"+ + "\u0011\u0001\u0011\u0003\u0011\u015f\b\u0011\u0001\u0012\u0001\u0012\u0001"+ + "\u0013\u0001\u0013\u0001\u0014\u0001\u0014\u0001\u0015\u0001\u0015\u0001"+ + "\u0016\u0001\u0016\u0001\u0016\u0001\u0016\u0005\u0016\u016d\b\u0016\n"+ + "\u0016\f\u0016\u0170\t\u0016\u0001\u0017\u0001\u0017\u0001\u0017\u0001"+ + "\u0018\u0001\u0018\u0003\u0018\u0177\b\u0018\u0001\u0018\u0001\u0018\u0003"+ + "\u0018\u017b\b\u0018\u0001\u0019\u0001\u0019\u0001\u0019\u0005\u0019\u0180"+ + "\b\u0019\n\u0019\f\u0019\u0183\t\u0019\u0001\u001a\u0001\u001a\u0001\u001a"+ + "\u0003\u001a\u0188\b\u001a\u0001\u001b\u0001\u001b\u0001\u001b\u0003\u001b"+ + "\u018d\b\u001b\u0001\u001b\u0001\u001b\u0001\u001b\u0001\u001b\u0001\u001b"+ + "\u0001\u001b\u0001\u001b\u0003\u001b\u0196\b\u001b\u0001\u001c\u0001\u001c"+ + "\u0001\u001c\u0005\u001c\u019b\b\u001c\n\u001c\f\u001c\u019e\t\u001c\u0001"+ + "\u001d\u0001\u001d\u0001\u001d\u0003\u001d\u01a3\b\u001d\u0001\u001d\u0001"+ + "\u001d\u0001\u001d\u0001\u001d\u0001\u001d\u0001\u001d\u0001\u001d\u0003"+ + "\u001d\u01ac\b\u001d\u0001\u001e\u0001\u001e\u0001\u001e\u0005\u001e\u01b1"+ + "\b\u001e\n\u001e\f\u001e\u01b4\t\u001e\u0001\u001f\u0001\u001f\u0001\u001f"+ + "\u0005\u001f\u01b9\b\u001f\n\u001f\f\u001f\u01bc\t\u001f\u0001 \u0001"+ + " \u0001!\u0001!\u0001!\u0003!\u01c3\b!\u0001\"\u0001\"\u0003\"\u01c7\b"+ + "\"\u0001#\u0001#\u0003#\u01cb\b#\u0001$\u0001$\u0001$\u0003$\u01d0\b$"+ + "\u0001%\u0001%\u0003%\u01d4\b%\u0001&\u0001&\u0001&\u0001\'\u0001\'\u0001"+ + "\'\u0001\'\u0005\'\u01dd\b\'\n\'\f\'\u01e0\t\'\u0001(\u0001(\u0003(\u01e4"+ + "\b(\u0001(\u0001(\u0003(\u01e8\b(\u0001)\u0001)\u0001)\u0001*\u0001*\u0001"+ + "*\u0001+\u0001+\u0001+\u0001+\u0005+\u01f4\b+\n+\f+\u01f7\t+\u0001,\u0001"+ + ",\u0001,\u0001,\u0001,\u0001,\u0001,\u0001,\u0003,\u0201\b,\u0001-\u0001"+ + "-\u0001-\u0001-\u0003-\u0207\b-\u0001.\u0001.\u0001.\u0005.\u020c\b.\n"+ + ".\f.\u020f\t.\u0001/\u0001/\u0001/\u0001/\u00010\u00010\u00030\u0217\b"+ + "0\u00011\u00011\u00011\u00011\u00011\u00051\u021e\b1\n1\f1\u0221\t1\u0001"+ "2\u00012\u00012\u00013\u00013\u00013\u00014\u00014\u00014\u00014\u0001"+ - "5\u00015\u00015\u00016\u00016\u00016\u00016\u00036\u0235\b6\u00016\u0001"+ - "6\u00016\u00016\u00056\u023b\b6\n6\f6\u023e\t6\u00036\u0240\b6\u00017"+ - "\u00017\u00018\u00018\u00018\u00038\u0247\b8\u00018\u00018\u00019\u0001"+ - "9\u00019\u0001:\u0001:\u0001:\u0001:\u0003:\u0252\b:\u0001:\u0001:\u0001"+ - ":\u0001:\u0001:\u0003:\u0259\b:\u0001;\u0001;\u0001;\u0001<\u0004<\u025f"+ - "\b<\u000b<\f<\u0260\u0001=\u0001=\u0001=\u0001=\u0001>\u0001>\u0001>\u0001"+ - ">\u0001>\u0001>\u0005>\u026d\b>\n>\f>\u0270\t>\u0001?\u0001?\u0001@\u0001"+ - "@\u0001@\u0001@\u0003@\u0278\b@\u0001@\u0001@\u0001@\u0001@\u0001@\u0001"+ - "A\u0001A\u0001A\u0001A\u0003A\u0283\bA\u0001A\u0001A\u0001A\u0001B\u0001"+ - "B\u0001B\u0001B\u0001B\u0003B\u028d\bB\u0001B\u0001B\u0001B\u0001B\u0003"+ - "B\u0293\bB\u0003B\u0295\bB\u0001C\u0001C\u0003C\u0299\bC\u0001C\u0005"+ - "C\u029c\bC\nC\fC\u029f\tC\u0001D\u0001D\u0001D\u0001D\u0001D\u0001D\u0001"+ - "D\u0001D\u0001D\u0001D\u0001D\u0003D\u02ac\bD\u0001E\u0001E\u0001E\u0005"+ - "E\u02b1\bE\nE\fE\u02b4\tE\u0001F\u0001F\u0001F\u0001F\u0001F\u0001G\u0001"+ + "5\u00015\u00015\u00016\u00016\u00016\u00016\u00036\u0234\b6\u00016\u0001"+ + "6\u00016\u00016\u00056\u023a\b6\n6\f6\u023d\t6\u00036\u023f\b6\u00017"+ + "\u00017\u00018\u00018\u00018\u00038\u0246\b8\u00018\u00018\u00019\u0001"+ + "9\u00019\u0001:\u0001:\u0001:\u0001:\u0003:\u0251\b:\u0001:\u0001:\u0001"+ + ":\u0001:\u0001:\u0003:\u0258\b:\u0001;\u0001;\u0001;\u0001<\u0004<\u025e"+ + "\b<\u000b<\f<\u025f\u0001=\u0001=\u0001=\u0001=\u0001>\u0001>\u0001>\u0001"+ + ">\u0001>\u0001>\u0005>\u026c\b>\n>\f>\u026f\t>\u0001?\u0001?\u0001@\u0001"+ + "@\u0001@\u0001@\u0003@\u0277\b@\u0001@\u0001@\u0001@\u0001@\u0001@\u0001"+ + "A\u0001A\u0001A\u0001A\u0003A\u0282\bA\u0001A\u0001A\u0001A\u0001B\u0001"+ + "B\u0001B\u0001B\u0001B\u0003B\u028c\bB\u0001B\u0001B\u0001B\u0001B\u0003"+ + "B\u0292\bB\u0003B\u0294\bB\u0001C\u0001C\u0003C\u0298\bC\u0001C\u0005"+ + "C\u029b\bC\nC\fC\u029e\tC\u0001D\u0001D\u0001D\u0001D\u0001D\u0001D\u0001"+ + "D\u0001D\u0001D\u0001D\u0001D\u0003D\u02ab\bD\u0001E\u0001E\u0001E\u0005"+ + "E\u02b0\bE\nE\fE\u02b3\tE\u0001F\u0001F\u0001F\u0001F\u0001F\u0001G\u0001"+ "G\u0001G\u0001H\u0001H\u0001H\u0001H\u0001I\u0001I\u0001I\u0001I\u0003"+ - "I\u02c6\bI\u0001J\u0001J\u0001J\u0001J\u0001J\u0001J\u0001J\u0003J\u02cf"+ - "\bJ\u0001J\u0001J\u0001J\u0001J\u0001J\u0005J\u02d6\bJ\nJ\fJ\u02d9\tJ"+ - "\u0001J\u0001J\u0001J\u0001J\u0001J\u0003J\u02e0\bJ\u0001J\u0001J\u0001"+ - "J\u0003J\u02e5\bJ\u0001J\u0001J\u0001J\u0001J\u0001J\u0001J\u0005J\u02ed"+ - "\bJ\nJ\fJ\u02f0\tJ\u0001K\u0001K\u0003K\u02f4\bK\u0001K\u0001K\u0001K"+ - "\u0001K\u0001K\u0003K\u02fb\bK\u0001K\u0001K\u0001K\u0001K\u0001K\u0003"+ - "K\u0302\bK\u0001K\u0001K\u0001K\u0001K\u0001K\u0005K\u0309\bK\nK\fK\u030c"+ - "\tK\u0001K\u0001K\u0001K\u0001K\u0003K\u0312\bK\u0001K\u0001K\u0001K\u0001"+ - "K\u0001K\u0005K\u0319\bK\nK\fK\u031c\tK\u0001K\u0001K\u0003K\u0320\bK"+ - "\u0001L\u0001L\u0001L\u0003L\u0325\bL\u0001L\u0001L\u0001L\u0001M\u0001"+ - "M\u0001M\u0001M\u0001M\u0003M\u032f\bM\u0001N\u0001N\u0001N\u0001N\u0003"+ - "N\u0335\bN\u0001N\u0001N\u0001N\u0001N\u0001N\u0001N\u0005N\u033d\bN\n"+ - "N\fN\u0340\tN\u0001O\u0001O\u0001O\u0001O\u0001O\u0001O\u0001O\u0001O"+ - "\u0003O\u034a\bO\u0001O\u0001O\u0001O\u0005O\u034f\bO\nO\fO\u0352\tO\u0001"+ - "P\u0001P\u0001P\u0001P\u0001P\u0001P\u0005P\u035a\bP\nP\fP\u035d\tP\u0001"+ - "P\u0001P\u0003P\u0361\bP\u0003P\u0363\bP\u0001P\u0001P\u0001Q\u0001Q\u0001"+ - "Q\u0003Q\u036a\bQ\u0001R\u0001R\u0001R\u0001R\u0005R\u0370\bR\nR\fR\u0373"+ - "\tR\u0003R\u0375\bR\u0001R\u0001R\u0001S\u0001S\u0001S\u0001S\u0001T\u0001"+ - "T\u0003T\u037f\bT\u0001U\u0001U\u0001U\u0001U\u0001U\u0001U\u0001U\u0001"+ - "U\u0001U\u0001U\u0001U\u0001U\u0001U\u0005U\u038e\bU\nU\fU\u0391\tU\u0001"+ - "U\u0001U\u0001U\u0001U\u0001U\u0001U\u0005U\u0399\bU\nU\fU\u039c\tU\u0001"+ - "U\u0001U\u0001U\u0001U\u0001U\u0001U\u0005U\u03a4\bU\nU\fU\u03a7\tU\u0001"+ - "U\u0001U\u0003U\u03ab\bU\u0001V\u0001V\u0001W\u0001W\u0003W\u03b1\bW\u0001"+ - "X\u0003X\u03b4\bX\u0001X\u0001X\u0001Y\u0003Y\u03b9\bY\u0001Y\u0001Y\u0001"+ + "I\u02c5\bI\u0001J\u0001J\u0001J\u0001J\u0001J\u0001J\u0001J\u0003J\u02ce"+ + "\bJ\u0001J\u0001J\u0001J\u0001J\u0001J\u0005J\u02d5\bJ\nJ\fJ\u02d8\tJ"+ + "\u0001J\u0001J\u0001J\u0001J\u0001J\u0003J\u02df\bJ\u0001J\u0001J\u0001"+ + "J\u0003J\u02e4\bJ\u0001J\u0001J\u0001J\u0001J\u0001J\u0001J\u0005J\u02ec"+ + "\bJ\nJ\fJ\u02ef\tJ\u0001K\u0001K\u0003K\u02f3\bK\u0001K\u0001K\u0001K"+ + "\u0001K\u0001K\u0003K\u02fa\bK\u0001K\u0001K\u0001K\u0001K\u0001K\u0003"+ + "K\u0301\bK\u0001K\u0001K\u0001K\u0001K\u0001K\u0005K\u0308\bK\nK\fK\u030b"+ + "\tK\u0001K\u0001K\u0001K\u0001K\u0003K\u0311\bK\u0001K\u0001K\u0001K\u0001"+ + "K\u0001K\u0005K\u0318\bK\nK\fK\u031b\tK\u0001K\u0001K\u0003K\u031f\bK"+ + "\u0001L\u0001L\u0001L\u0003L\u0324\bL\u0001L\u0001L\u0001L\u0001M\u0001"+ + "M\u0001M\u0001M\u0001M\u0003M\u032e\bM\u0001N\u0001N\u0001N\u0001N\u0003"+ + "N\u0334\bN\u0001N\u0001N\u0001N\u0001N\u0001N\u0001N\u0005N\u033c\bN\n"+ + "N\fN\u033f\tN\u0001O\u0001O\u0001O\u0001O\u0001O\u0001O\u0001O\u0001O"+ + "\u0003O\u0349\bO\u0001O\u0001O\u0001O\u0005O\u034e\bO\nO\fO\u0351\tO\u0001"+ + "P\u0001P\u0001P\u0001P\u0001P\u0001P\u0005P\u0359\bP\nP\fP\u035c\tP\u0001"+ + "P\u0001P\u0003P\u0360\bP\u0003P\u0362\bP\u0001P\u0001P\u0001Q\u0001Q\u0001"+ + "Q\u0003Q\u0369\bQ\u0001R\u0001R\u0001R\u0001R\u0005R\u036f\bR\nR\fR\u0372"+ + "\tR\u0003R\u0374\bR\u0001R\u0001R\u0001S\u0001S\u0001S\u0001S\u0001T\u0001"+ + "T\u0003T\u037e\bT\u0001U\u0001U\u0001U\u0001U\u0001U\u0001U\u0001U\u0001"+ + "U\u0001U\u0001U\u0001U\u0001U\u0001U\u0005U\u038d\bU\nU\fU\u0390\tU\u0001"+ + "U\u0001U\u0001U\u0001U\u0001U\u0001U\u0005U\u0398\bU\nU\fU\u039b\tU\u0001"+ + "U\u0001U\u0001U\u0001U\u0001U\u0001U\u0005U\u03a3\bU\nU\fU\u03a6\tU\u0001"+ + "U\u0001U\u0003U\u03aa\bU\u0001V\u0001V\u0001W\u0001W\u0003W\u03b0\bW\u0001"+ + "X\u0003X\u03b3\bX\u0001X\u0001X\u0001Y\u0003Y\u03b8\bY\u0001Y\u0001Y\u0001"+ "Z\u0001Z\u0001[\u0001[\u0001\\\u0001\\\u0001\\\u0001\\\u0001\\\u0001]"+ - "\u0001]\u0001]\u0003]\u03c9\b]\u0001]\u0001]\u0001]\u0003]\u03ce\b]\u0001"+ - "^\u0001^\u0001^\u0001^\u0005^\u03d4\b^\n^\f^\u03d7\t^\u0001_\u0001_\u0005"+ - "_\u03db\b_\n_\f_\u03de\t_\u0001_\u0001_\u0001_\u0003_\u03e3\b_\u0001_"+ - "\u0001_\u0004_\u03e7\b_\u000b_\f_\u03e8\u0001_\u0001_\u0001_\u0001_\u0005"+ - "_\u03ef\b_\n_\f_\u03f2\t_\u0001_\u0004_\u03f5\b_\u000b_\f_\u03f6\u0003"+ - "_\u03f9\b_\u0001`\u0001`\u0001a\u0001a\u0001a\u0001a\u0001b\u0001b\u0001"+ - "c\u0001c\u0001c\u0005c\u0406\bc\nc\fc\u0409\tc\u0001c\u0001c\u0003c\u040d"+ - "\bc\u0001d\u0001d\u0001e\u0004e\u0412\be\u000be\fe\u0413\u0001e\u0001"+ - "e\u0005e\u0418\be\ne\fe\u041b\te\u0001e\u0003e\u041e\be\u0001f\u0001f"+ - "\u0001f\u0001f\u0001f\u0001f\u0001f\u0001f\u0001f\u0003f\u0429\bf\u0001"+ + "\u0001]\u0001]\u0003]\u03c8\b]\u0001]\u0001]\u0001]\u0003]\u03cd\b]\u0001"+ + "^\u0001^\u0001^\u0001^\u0005^\u03d3\b^\n^\f^\u03d6\t^\u0001_\u0001_\u0005"+ + "_\u03da\b_\n_\f_\u03dd\t_\u0001_\u0001_\u0001_\u0003_\u03e2\b_\u0001_"+ + "\u0001_\u0004_\u03e6\b_\u000b_\f_\u03e7\u0001_\u0001_\u0001_\u0001_\u0005"+ + "_\u03ee\b_\n_\f_\u03f1\t_\u0001_\u0004_\u03f4\b_\u000b_\f_\u03f5\u0003"+ + "_\u03f8\b_\u0001`\u0001`\u0001a\u0001a\u0001a\u0001a\u0001b\u0001b\u0001"+ + "c\u0001c\u0001c\u0005c\u0405\bc\nc\fc\u0408\tc\u0001c\u0001c\u0003c\u040c"+ + "\bc\u0001d\u0001d\u0001e\u0004e\u0411\be\u000be\fe\u0412\u0001e\u0001"+ + "e\u0005e\u0417\be\ne\fe\u041a\te\u0001e\u0003e\u041d\be\u0001f\u0001f"+ + "\u0001f\u0001f\u0001f\u0001f\u0001f\u0001f\u0001f\u0003f\u0428\bf\u0001"+ "g\u0001g\u0001h\u0001h\u0001i\u0001i\u0001j\u0001j\u0001j\u0000\u0005"+ "\u0004|\u0094\u009c\u009ek\u0000\u0002\u0004\u0006\b\n\f\u000e\u0010\u0012"+ "\u0014\u0016\u0018\u001a\u001c\u001e \"$&(*,.02468:<>@BDFHJLNPRTVXZ\\"+ @@ -9336,57 +9332,57 @@ private boolean joinTarget_sempred(JoinTargetContext _localctx, int predIndex) { "\u0002\u000044kk\u0001\u0000ef\u0002\u000088??\u0002\u0000BBEE\u0002\u0000"+ "))44\u0001\u0000WX\u0001\u0000Y[\u0002\u0000AANN\u0002\u0000PPRV\u0002"+ "\u0000\u0018\u0018\u001a\u001b\u0003\u000044__ef\b\u00004499;<>>__efk"+ - "k\u0091\u0093\u0002\u0000eekk\u0003\u000044eekk\u0462\u0000\u00d9\u0001"+ + "k\u0091\u0093\u0002\u0000eekk\u0003\u000044eekk\u0461\u0000\u00d9\u0001"+ "\u0000\u0000\u0000\u0002\u00df\u0001\u0000\u0000\u0000\u0004\u00e2\u0001"+ - "\u0000\u0000\u0000\u0006\u00f5\u0001\u0000\u0000\u0000\b\u010f\u0001\u0000"+ - "\u0000\u0000\n\u0111\u0001\u0000\u0000\u0000\f\u0114\u0001\u0000\u0000"+ - "\u0000\u000e\u0116\u0001\u0000\u0000\u0000\u0010\u0119\u0001\u0000\u0000"+ - "\u0000\u0012\u0124\u0001\u0000\u0000\u0000\u0014\u0128\u0001\u0000\u0000"+ - "\u0000\u0016\u0130\u0001\u0000\u0000\u0000\u0018\u0135\u0001\u0000\u0000"+ - "\u0000\u001a\u0138\u0001\u0000\u0000\u0000\u001c\u013b\u0001\u0000\u0000"+ - "\u0000\u001e\u0149\u0001\u0000\u0000\u0000 \u014b\u0001\u0000\u0000\u0000"+ - "\"\u015f\u0001\u0000\u0000\u0000$\u0161\u0001\u0000\u0000\u0000&\u0163"+ - "\u0001\u0000\u0000\u0000(\u0165\u0001\u0000\u0000\u0000*\u0167\u0001\u0000"+ - "\u0000\u0000,\u0169\u0001\u0000\u0000\u0000.\u0172\u0001\u0000\u0000\u0000"+ - "0\u0175\u0001\u0000\u0000\u00002\u017d\u0001\u0000\u0000\u00004\u0185"+ - "\u0001\u0000\u0000\u00006\u0196\u0001\u0000\u0000\u00008\u0198\u0001\u0000"+ - "\u0000\u0000:\u01ac\u0001\u0000\u0000\u0000<\u01ae\u0001\u0000\u0000\u0000"+ - ">\u01b6\u0001\u0000\u0000\u0000@\u01be\u0001\u0000\u0000\u0000B\u01c3"+ - "\u0001\u0000\u0000\u0000D\u01c7\u0001\u0000\u0000\u0000F\u01cb\u0001\u0000"+ - "\u0000\u0000H\u01d0\u0001\u0000\u0000\u0000J\u01d4\u0001\u0000\u0000\u0000"+ - "L\u01d6\u0001\u0000\u0000\u0000N\u01d9\u0001\u0000\u0000\u0000P\u01e2"+ - "\u0001\u0000\u0000\u0000R\u01ea\u0001\u0000\u0000\u0000T\u01ed\u0001\u0000"+ - "\u0000\u0000V\u01f0\u0001\u0000\u0000\u0000X\u0201\u0001\u0000\u0000\u0000"+ - "Z\u0203\u0001\u0000\u0000\u0000\\\u0209\u0001\u0000\u0000\u0000^\u0211"+ - "\u0001\u0000\u0000\u0000`\u0217\u0001\u0000\u0000\u0000b\u0219\u0001\u0000"+ - "\u0000\u0000d\u0223\u0001\u0000\u0000\u0000f\u0226\u0001\u0000\u0000\u0000"+ - "h\u0229\u0001\u0000\u0000\u0000j\u022d\u0001\u0000\u0000\u0000l\u0230"+ - "\u0001\u0000\u0000\u0000n\u0241\u0001\u0000\u0000\u0000p\u0246\u0001\u0000"+ - "\u0000\u0000r\u024a\u0001\u0000\u0000\u0000t\u024d\u0001\u0000\u0000\u0000"+ - "v\u025a\u0001\u0000\u0000\u0000x\u025e\u0001\u0000\u0000\u0000z\u0262"+ - "\u0001\u0000\u0000\u0000|\u0266\u0001\u0000\u0000\u0000~\u0271\u0001\u0000"+ - "\u0000\u0000\u0080\u0273\u0001\u0000\u0000\u0000\u0082\u027e\u0001\u0000"+ - "\u0000\u0000\u0084\u0294\u0001\u0000\u0000\u0000\u0086\u0296\u0001\u0000"+ - "\u0000\u0000\u0088\u02ab\u0001\u0000\u0000\u0000\u008a\u02ad\u0001\u0000"+ - "\u0000\u0000\u008c\u02b5\u0001\u0000\u0000\u0000\u008e\u02ba\u0001\u0000"+ - "\u0000\u0000\u0090\u02bd\u0001\u0000\u0000\u0000\u0092\u02c1\u0001\u0000"+ - "\u0000\u0000\u0094\u02e4\u0001\u0000\u0000\u0000\u0096\u031f\u0001\u0000"+ - "\u0000\u0000\u0098\u0321\u0001\u0000\u0000\u0000\u009a\u032e\u0001\u0000"+ - "\u0000\u0000\u009c\u0334\u0001\u0000\u0000\u0000\u009e\u0349\u0001\u0000"+ - "\u0000\u0000\u00a0\u0353\u0001\u0000\u0000\u0000\u00a2\u0369\u0001\u0000"+ - "\u0000\u0000\u00a4\u036b\u0001\u0000\u0000\u0000\u00a6\u0378\u0001\u0000"+ - "\u0000\u0000\u00a8\u037e\u0001\u0000\u0000\u0000\u00aa\u03aa\u0001\u0000"+ - "\u0000\u0000\u00ac\u03ac\u0001\u0000\u0000\u0000\u00ae\u03b0\u0001\u0000"+ - "\u0000\u0000\u00b0\u03b3\u0001\u0000\u0000\u0000\u00b2\u03b8\u0001\u0000"+ - "\u0000\u0000\u00b4\u03bc\u0001\u0000\u0000\u0000\u00b6\u03be\u0001\u0000"+ - "\u0000\u0000\u00b8\u03c0\u0001\u0000\u0000\u0000\u00ba\u03cd\u0001\u0000"+ - "\u0000\u0000\u00bc\u03cf\u0001\u0000\u0000\u0000\u00be\u03f8\u0001\u0000"+ - "\u0000\u0000\u00c0\u03fa\u0001\u0000\u0000\u0000\u00c2\u03fc\u0001\u0000"+ - "\u0000\u0000\u00c4\u0400\u0001\u0000\u0000\u0000\u00c6\u040c\u0001\u0000"+ - "\u0000\u0000\u00c8\u040e\u0001\u0000\u0000\u0000\u00ca\u041d\u0001\u0000"+ - "\u0000\u0000\u00cc\u0428\u0001\u0000\u0000\u0000\u00ce\u042a\u0001\u0000"+ - "\u0000\u0000\u00d0\u042c\u0001\u0000\u0000\u0000\u00d2\u042e\u0001\u0000"+ - "\u0000\u0000\u00d4\u0430\u0001\u0000\u0000\u0000\u00d6\u00d8\u0003\u0090"+ + "\u0000\u0000\u0000\u0006\u00f4\u0001\u0000\u0000\u0000\b\u010e\u0001\u0000"+ + "\u0000\u0000\n\u0110\u0001\u0000\u0000\u0000\f\u0113\u0001\u0000\u0000"+ + "\u0000\u000e\u0115\u0001\u0000\u0000\u0000\u0010\u0118\u0001\u0000\u0000"+ + "\u0000\u0012\u0123\u0001\u0000\u0000\u0000\u0014\u0127\u0001\u0000\u0000"+ + "\u0000\u0016\u012f\u0001\u0000\u0000\u0000\u0018\u0134\u0001\u0000\u0000"+ + "\u0000\u001a\u0137\u0001\u0000\u0000\u0000\u001c\u013a\u0001\u0000\u0000"+ + "\u0000\u001e\u0148\u0001\u0000\u0000\u0000 \u014a\u0001\u0000\u0000\u0000"+ + "\"\u015e\u0001\u0000\u0000\u0000$\u0160\u0001\u0000\u0000\u0000&\u0162"+ + "\u0001\u0000\u0000\u0000(\u0164\u0001\u0000\u0000\u0000*\u0166\u0001\u0000"+ + "\u0000\u0000,\u0168\u0001\u0000\u0000\u0000.\u0171\u0001\u0000\u0000\u0000"+ + "0\u0174\u0001\u0000\u0000\u00002\u017c\u0001\u0000\u0000\u00004\u0184"+ + "\u0001\u0000\u0000\u00006\u0195\u0001\u0000\u0000\u00008\u0197\u0001\u0000"+ + "\u0000\u0000:\u01ab\u0001\u0000\u0000\u0000<\u01ad\u0001\u0000\u0000\u0000"+ + ">\u01b5\u0001\u0000\u0000\u0000@\u01bd\u0001\u0000\u0000\u0000B\u01c2"+ + "\u0001\u0000\u0000\u0000D\u01c6\u0001\u0000\u0000\u0000F\u01ca\u0001\u0000"+ + "\u0000\u0000H\u01cf\u0001\u0000\u0000\u0000J\u01d3\u0001\u0000\u0000\u0000"+ + "L\u01d5\u0001\u0000\u0000\u0000N\u01d8\u0001\u0000\u0000\u0000P\u01e1"+ + "\u0001\u0000\u0000\u0000R\u01e9\u0001\u0000\u0000\u0000T\u01ec\u0001\u0000"+ + "\u0000\u0000V\u01ef\u0001\u0000\u0000\u0000X\u0200\u0001\u0000\u0000\u0000"+ + "Z\u0202\u0001\u0000\u0000\u0000\\\u0208\u0001\u0000\u0000\u0000^\u0210"+ + "\u0001\u0000\u0000\u0000`\u0216\u0001\u0000\u0000\u0000b\u0218\u0001\u0000"+ + "\u0000\u0000d\u0222\u0001\u0000\u0000\u0000f\u0225\u0001\u0000\u0000\u0000"+ + "h\u0228\u0001\u0000\u0000\u0000j\u022c\u0001\u0000\u0000\u0000l\u022f"+ + "\u0001\u0000\u0000\u0000n\u0240\u0001\u0000\u0000\u0000p\u0245\u0001\u0000"+ + "\u0000\u0000r\u0249\u0001\u0000\u0000\u0000t\u024c\u0001\u0000\u0000\u0000"+ + "v\u0259\u0001\u0000\u0000\u0000x\u025d\u0001\u0000\u0000\u0000z\u0261"+ + "\u0001\u0000\u0000\u0000|\u0265\u0001\u0000\u0000\u0000~\u0270\u0001\u0000"+ + "\u0000\u0000\u0080\u0272\u0001\u0000\u0000\u0000\u0082\u027d\u0001\u0000"+ + "\u0000\u0000\u0084\u0293\u0001\u0000\u0000\u0000\u0086\u0295\u0001\u0000"+ + "\u0000\u0000\u0088\u02aa\u0001\u0000\u0000\u0000\u008a\u02ac\u0001\u0000"+ + "\u0000\u0000\u008c\u02b4\u0001\u0000\u0000\u0000\u008e\u02b9\u0001\u0000"+ + "\u0000\u0000\u0090\u02bc\u0001\u0000\u0000\u0000\u0092\u02c0\u0001\u0000"+ + "\u0000\u0000\u0094\u02e3\u0001\u0000\u0000\u0000\u0096\u031e\u0001\u0000"+ + "\u0000\u0000\u0098\u0320\u0001\u0000\u0000\u0000\u009a\u032d\u0001\u0000"+ + "\u0000\u0000\u009c\u0333\u0001\u0000\u0000\u0000\u009e\u0348\u0001\u0000"+ + "\u0000\u0000\u00a0\u0352\u0001\u0000\u0000\u0000\u00a2\u0368\u0001\u0000"+ + "\u0000\u0000\u00a4\u036a\u0001\u0000\u0000\u0000\u00a6\u0377\u0001\u0000"+ + "\u0000\u0000\u00a8\u037d\u0001\u0000\u0000\u0000\u00aa\u03a9\u0001\u0000"+ + "\u0000\u0000\u00ac\u03ab\u0001\u0000\u0000\u0000\u00ae\u03af\u0001\u0000"+ + "\u0000\u0000\u00b0\u03b2\u0001\u0000\u0000\u0000\u00b2\u03b7\u0001\u0000"+ + "\u0000\u0000\u00b4\u03bb\u0001\u0000\u0000\u0000\u00b6\u03bd\u0001\u0000"+ + "\u0000\u0000\u00b8\u03bf\u0001\u0000\u0000\u0000\u00ba\u03cc\u0001\u0000"+ + "\u0000\u0000\u00bc\u03ce\u0001\u0000\u0000\u0000\u00be\u03f7\u0001\u0000"+ + "\u0000\u0000\u00c0\u03f9\u0001\u0000\u0000\u0000\u00c2\u03fb\u0001\u0000"+ + "\u0000\u0000\u00c4\u03ff\u0001\u0000\u0000\u0000\u00c6\u040b\u0001\u0000"+ + "\u0000\u0000\u00c8\u040d\u0001\u0000\u0000\u0000\u00ca\u041c\u0001\u0000"+ + "\u0000\u0000\u00cc\u0427\u0001\u0000\u0000\u0000\u00ce\u0429\u0001\u0000"+ + "\u0000\u0000\u00d0\u042b\u0001\u0000\u0000\u0000\u00d2\u042d\u0001\u0000"+ + "\u0000\u0000\u00d4\u042f\u0001\u0000\u0000\u0000\u00d6\u00d8\u0003\u0090"+ "H\u0000\u00d7\u00d6\u0001\u0000\u0000\u0000\u00d8\u00db\u0001\u0000\u0000"+ "\u0000\u00d9\u00d7\u0001\u0000\u0000\u0000\u00d9\u00da\u0001\u0000\u0000"+ "\u0000\u00da\u00dc\u0001\u0000\u0000\u0000\u00db\u00d9\u0001\u0000\u0000"+ @@ -9399,475 +9395,474 @@ private boolean joinTarget_sempred(JoinTargetContext _localctx, int predIndex) { "\u00e8\u00e5\u0001\u0000\u0000\u0000\u00e9\u00ec\u0001\u0000\u0000\u0000"+ "\u00ea\u00e8\u0001\u0000\u0000\u0000\u00ea\u00eb\u0001\u0000\u0000\u0000"+ "\u00eb\u0005\u0001\u0000\u0000\u0000\u00ec\u00ea\u0001\u0000\u0000\u0000"+ - "\u00ed\u00f6\u0003\u0018\f\u0000\u00ee\u00f6\u0003\u000e\u0007\u0000\u00ef"+ - "\u00f6\u0003j5\u0000\u00f0\u00f6\u0003\u001a\r\u0000\u00f1\u00f2\u0004"+ - "\u0003\u0001\u0000\u00f2\u00f6\u0003f3\u0000\u00f3\u00f4\u0004\u0003\u0002"+ - "\u0000\u00f4\u00f6\u0003\u00be_\u0000\u00f5\u00ed\u0001\u0000\u0000\u0000"+ - "\u00f5\u00ee\u0001\u0000\u0000\u0000\u00f5\u00ef\u0001\u0000\u0000\u0000"+ - "\u00f5\u00f0\u0001\u0000\u0000\u0000\u00f5\u00f1\u0001\u0000\u0000\u0000"+ - "\u00f5\u00f3\u0001\u0000\u0000\u0000\u00f6\u0007\u0001\u0000\u0000\u0000"+ - "\u00f7\u0110\u0003.\u0017\u0000\u00f8\u0110\u0003\n\u0005\u0000\u00f9"+ - "\u0110\u0003R)\u0000\u00fa\u0110\u0003L&\u0000\u00fb\u0110\u00030\u0018"+ - "\u0000\u00fc\u0110\u0003N\'\u0000\u00fd\u0110\u0003T*\u0000\u00fe\u0110"+ - "\u0003V+\u0000\u00ff\u0110\u0003Z-\u0000\u0100\u0110\u0003b1\u0000\u0101"+ - "\u0110\u0003l6\u0000\u0102\u0110\u0003d2\u0000\u0103\u0110\u0003\u00b8"+ - "\\\u0000\u0104\u0110\u0003t:\u0000\u0105\u0110\u0003\u0082A\u0000\u0106"+ - "\u0110\u0003r9\u0000\u0107\u0110\u0003v;\u0000\u0108\u0110\u0003\u0080"+ - "@\u0000\u0109\u0110\u0003\u0084B\u0000\u010a\u0110\u0003\u0086C\u0000"+ - "\u010b\u010c\u0004\u0004\u0003\u0000\u010c\u0110\u0003\u008cF\u0000\u010d"+ - "\u010e\u0004\u0004\u0004\u0000\u010e\u0110\u0003\u008eG\u0000\u010f\u00f7"+ - "\u0001\u0000\u0000\u0000\u010f\u00f8\u0001\u0000\u0000\u0000\u010f\u00f9"+ - "\u0001\u0000\u0000\u0000\u010f\u00fa\u0001\u0000\u0000\u0000\u010f\u00fb"+ - "\u0001\u0000\u0000\u0000\u010f\u00fc\u0001\u0000\u0000\u0000\u010f\u00fd"+ - "\u0001\u0000\u0000\u0000\u010f\u00fe\u0001\u0000\u0000\u0000\u010f\u00ff"+ - "\u0001\u0000\u0000\u0000\u010f\u0100\u0001\u0000\u0000\u0000\u010f\u0101"+ - "\u0001\u0000\u0000\u0000\u010f\u0102\u0001\u0000\u0000\u0000\u010f\u0103"+ - "\u0001\u0000\u0000\u0000\u010f\u0104\u0001\u0000\u0000\u0000\u010f\u0105"+ - "\u0001\u0000\u0000\u0000\u010f\u0106\u0001\u0000\u0000\u0000\u010f\u0107"+ - "\u0001\u0000\u0000\u0000\u010f\u0108\u0001\u0000\u0000\u0000\u010f\u0109"+ - "\u0001\u0000\u0000\u0000\u010f\u010a\u0001\u0000\u0000\u0000\u010f\u010b"+ - "\u0001\u0000\u0000\u0000\u010f\u010d\u0001\u0000\u0000\u0000\u0110\t\u0001"+ - "\u0000\u0000\u0000\u0111\u0112\u0005\u0011\u0000\u0000\u0112\u0113\u0003"+ - "\u0094J\u0000\u0113\u000b\u0001\u0000\u0000\u0000\u0114\u0115\u0003@ "+ - "\u0000\u0115\r\u0001\u0000\u0000\u0000\u0116\u0117\u0005\r\u0000\u0000"+ - "\u0117\u0118\u0003\u0010\b\u0000\u0118\u000f\u0001\u0000\u0000\u0000\u0119"+ - "\u011e\u0003\u0012\t\u0000\u011a\u011b\u0005>\u0000\u0000\u011b\u011d"+ - "\u0003\u0012\t\u0000\u011c\u011a\u0001\u0000\u0000\u0000\u011d\u0120\u0001"+ - "\u0000\u0000\u0000\u011e\u011c\u0001\u0000\u0000\u0000\u011e\u011f\u0001"+ - "\u0000\u0000\u0000\u011f\u0011\u0001\u0000\u0000\u0000\u0120\u011e\u0001"+ - "\u0000\u0000\u0000\u0121\u0122\u00036\u001b\u0000\u0122\u0123\u00059\u0000"+ - "\u0000\u0123\u0125\u0001\u0000\u0000\u0000\u0124\u0121\u0001\u0000\u0000"+ - "\u0000\u0124\u0125\u0001\u0000\u0000\u0000\u0125\u0126\u0001\u0000\u0000"+ - "\u0000\u0126\u0127\u0003\u0094J\u0000\u0127\u0013\u0001\u0000\u0000\u0000"+ - "\u0128\u012d\u0003\u0016\u000b\u0000\u0129\u012a\u0005>\u0000\u0000\u012a"+ - "\u012c\u0003\u0016\u000b\u0000\u012b\u0129\u0001\u0000\u0000\u0000\u012c"+ - "\u012f\u0001\u0000\u0000\u0000\u012d\u012b\u0001\u0000\u0000\u0000\u012d"+ - "\u012e\u0001\u0000\u0000\u0000\u012e\u0015\u0001\u0000\u0000\u0000\u012f"+ - "\u012d\u0001\u0000\u0000\u0000\u0130\u0133\u00036\u001b\u0000\u0131\u0132"+ - "\u00059\u0000\u0000\u0132\u0134\u0003\u0094J\u0000\u0133\u0131\u0001\u0000"+ - "\u0000\u0000\u0133\u0134\u0001\u0000\u0000\u0000\u0134\u0017\u0001\u0000"+ - "\u0000\u0000\u0135\u0136\u0005\u0012\u0000\u0000\u0136\u0137\u0003\u001c"+ - "\u000e\u0000\u0137\u0019\u0001\u0000\u0000\u0000\u0138\u0139\u0005\u0013"+ - "\u0000\u0000\u0139\u013a\u0003\u001c\u000e\u0000\u013a\u001b\u0001\u0000"+ - "\u0000\u0000\u013b\u0140\u0003\u001e\u000f\u0000\u013c\u013d\u0005>\u0000"+ - "\u0000\u013d\u013f\u0003\u001e\u000f\u0000\u013e\u013c\u0001\u0000\u0000"+ - "\u0000\u013f\u0142\u0001\u0000\u0000\u0000\u0140\u013e\u0001\u0000\u0000"+ - "\u0000\u0140\u0141\u0001\u0000\u0000\u0000\u0141\u0144\u0001\u0000\u0000"+ - "\u0000\u0142\u0140\u0001\u0000\u0000\u0000\u0143\u0145\u0003,\u0016\u0000"+ - "\u0144\u0143\u0001\u0000\u0000\u0000\u0144\u0145\u0001\u0000\u0000\u0000"+ - "\u0145\u001d\u0001\u0000\u0000\u0000\u0146\u014a\u0003\"\u0011\u0000\u0147"+ - "\u0148\u0004\u000f\u0005\u0000\u0148\u014a\u0003 \u0010\u0000\u0149\u0146"+ - "\u0001\u0000\u0000\u0000\u0149\u0147\u0001\u0000\u0000\u0000\u014a\u001f"+ - "\u0001\u0000\u0000\u0000\u014b\u014c\u0005c\u0000\u0000\u014c\u0151\u0003"+ - "\u0018\f\u0000\u014d\u014e\u00053\u0000\u0000\u014e\u0150\u0003\b\u0004"+ - "\u0000\u014f\u014d\u0001\u0000\u0000\u0000\u0150\u0153\u0001\u0000\u0000"+ - "\u0000\u0151\u014f\u0001\u0000\u0000\u0000\u0151\u0152\u0001\u0000\u0000"+ - "\u0000\u0152\u0154\u0001\u0000\u0000\u0000\u0153\u0151\u0001\u0000\u0000"+ - "\u0000\u0154\u0155\u0005d\u0000\u0000\u0155!\u0001\u0000\u0000\u0000\u0156"+ - "\u0157\u0003$\u0012\u0000\u0157\u0158\u0005<\u0000\u0000\u0158\u0159\u0003"+ - "(\u0014\u0000\u0159\u0160\u0001\u0000\u0000\u0000\u015a\u015b\u0003(\u0014"+ - "\u0000\u015b\u015c\u0005;\u0000\u0000\u015c\u015d\u0003&\u0013\u0000\u015d"+ - "\u0160\u0001\u0000\u0000\u0000\u015e\u0160\u0003*\u0015\u0000\u015f\u0156"+ - "\u0001\u0000\u0000\u0000\u015f\u015a\u0001\u0000\u0000\u0000\u015f\u015e"+ - "\u0001\u0000\u0000\u0000\u0160#\u0001\u0000\u0000\u0000\u0161\u0162\u0005"+ - "k\u0000\u0000\u0162%\u0001\u0000\u0000\u0000\u0163\u0164\u0005k\u0000"+ - "\u0000\u0164\'\u0001\u0000\u0000\u0000\u0165\u0166\u0005k\u0000\u0000"+ - "\u0166)\u0001\u0000\u0000\u0000\u0167\u0168\u0007\u0000\u0000\u0000\u0168"+ - "+\u0001\u0000\u0000\u0000\u0169\u016a\u0005j\u0000\u0000\u016a\u016f\u0005"+ - "k\u0000\u0000\u016b\u016c\u0005>\u0000\u0000\u016c\u016e\u0005k\u0000"+ - "\u0000\u016d\u016b\u0001\u0000\u0000\u0000\u016e\u0171\u0001\u0000\u0000"+ - "\u0000\u016f\u016d\u0001\u0000\u0000\u0000\u016f\u0170\u0001\u0000\u0000"+ - "\u0000\u0170-\u0001\u0000\u0000\u0000\u0171\u016f\u0001\u0000\u0000\u0000"+ - "\u0172\u0173\u0005\t\u0000\u0000\u0173\u0174\u0003\u0010\b\u0000\u0174"+ - "/\u0001\u0000\u0000\u0000\u0175\u0177\u0005\u0010\u0000\u0000\u0176\u0178"+ - "\u00032\u0019\u0000\u0177\u0176\u0001\u0000\u0000\u0000\u0177\u0178\u0001"+ - "\u0000\u0000\u0000\u0178\u017b\u0001\u0000\u0000\u0000\u0179\u017a\u0005"+ - ":\u0000\u0000\u017a\u017c\u0003\u0010\b\u0000\u017b\u0179\u0001\u0000"+ - "\u0000\u0000\u017b\u017c\u0001\u0000\u0000\u0000\u017c1\u0001\u0000\u0000"+ - "\u0000\u017d\u0182\u00034\u001a\u0000\u017e\u017f\u0005>\u0000\u0000\u017f"+ - "\u0181\u00034\u001a\u0000\u0180\u017e\u0001\u0000\u0000\u0000\u0181\u0184"+ - "\u0001\u0000\u0000\u0000\u0182\u0180\u0001\u0000\u0000\u0000\u0182\u0183"+ - "\u0001\u0000\u0000\u0000\u01833\u0001\u0000\u0000\u0000\u0184\u0182\u0001"+ - "\u0000\u0000\u0000\u0185\u0188\u0003\u0012\t\u0000\u0186\u0187\u0005\u0011"+ - "\u0000\u0000\u0187\u0189\u0003\u0094J\u0000\u0188\u0186\u0001\u0000\u0000"+ - "\u0000\u0188\u0189\u0001\u0000\u0000\u0000\u01895\u0001\u0000\u0000\u0000"+ - "\u018a\u018b\u0004\u001b\u0006\u0000\u018b\u018d\u0005a\u0000\u0000\u018c"+ - "\u018e\u0005e\u0000\u0000\u018d\u018c\u0001\u0000\u0000\u0000\u018d\u018e"+ - "\u0001\u0000\u0000\u0000\u018e\u018f\u0001\u0000\u0000\u0000\u018f\u0190"+ - "\u0005b\u0000\u0000\u0190\u0191\u0005@\u0000\u0000\u0191\u0192\u0005a"+ - "\u0000\u0000\u0192\u0193\u00038\u001c\u0000\u0193\u0194\u0005b\u0000\u0000"+ - "\u0194\u0197\u0001\u0000\u0000\u0000\u0195\u0197\u00038\u001c\u0000\u0196"+ - "\u018a\u0001\u0000\u0000\u0000\u0196\u0195\u0001\u0000\u0000\u0000\u0197"+ - "7\u0001\u0000\u0000\u0000\u0198\u019d\u0003H$\u0000\u0199\u019a\u0005"+ - "@\u0000\u0000\u019a\u019c\u0003H$\u0000\u019b\u0199\u0001\u0000\u0000"+ - "\u0000\u019c\u019f\u0001\u0000\u0000\u0000\u019d\u019b\u0001\u0000\u0000"+ - "\u0000\u019d\u019e\u0001\u0000\u0000\u0000\u019e9\u0001\u0000\u0000\u0000"+ - "\u019f\u019d\u0001\u0000\u0000\u0000\u01a0\u01a1\u0004\u001d\u0007\u0000"+ - "\u01a1\u01a3\u0005a\u0000\u0000\u01a2\u01a4\u0005\u008a\u0000\u0000\u01a3"+ - "\u01a2\u0001\u0000\u0000\u0000\u01a3\u01a4\u0001\u0000\u0000\u0000\u01a4"+ - "\u01a5\u0001\u0000\u0000\u0000\u01a5\u01a6\u0005b\u0000\u0000\u01a6\u01a7"+ - "\u0005@\u0000\u0000\u01a7\u01a8\u0005a\u0000\u0000\u01a8\u01a9\u0003<"+ - "\u001e\u0000\u01a9\u01aa\u0005b\u0000\u0000\u01aa\u01ad\u0001\u0000\u0000"+ - "\u0000\u01ab\u01ad\u0003<\u001e\u0000\u01ac\u01a0\u0001\u0000\u0000\u0000"+ - "\u01ac\u01ab\u0001\u0000\u0000\u0000\u01ad;\u0001\u0000\u0000\u0000\u01ae"+ - "\u01b3\u0003B!\u0000\u01af\u01b0\u0005@\u0000\u0000\u01b0\u01b2\u0003"+ - "B!\u0000\u01b1\u01af\u0001\u0000\u0000\u0000\u01b2\u01b5\u0001\u0000\u0000"+ - "\u0000\u01b3\u01b1\u0001\u0000\u0000\u0000\u01b3\u01b4\u0001\u0000\u0000"+ - "\u0000\u01b4=\u0001\u0000\u0000\u0000\u01b5\u01b3\u0001\u0000\u0000\u0000"+ - "\u01b6\u01bb\u0003:\u001d\u0000\u01b7\u01b8\u0005>\u0000\u0000\u01b8\u01ba"+ - "\u0003:\u001d\u0000\u01b9\u01b7\u0001\u0000\u0000\u0000\u01ba\u01bd\u0001"+ - "\u0000\u0000\u0000\u01bb\u01b9\u0001\u0000\u0000\u0000\u01bb\u01bc\u0001"+ - "\u0000\u0000\u0000\u01bc?\u0001\u0000\u0000\u0000\u01bd\u01bb\u0001\u0000"+ - "\u0000\u0000\u01be\u01bf\u0007\u0001\u0000\u0000\u01bfA\u0001\u0000\u0000"+ - "\u0000\u01c0\u01c4\u0005\u008a\u0000\u0000\u01c1\u01c4\u0003D\"\u0000"+ - "\u01c2\u01c4\u0003F#\u0000\u01c3\u01c0\u0001\u0000\u0000\u0000\u01c3\u01c1"+ - "\u0001\u0000\u0000\u0000\u01c3\u01c2\u0001\u0000\u0000\u0000\u01c4C\u0001"+ - "\u0000\u0000\u0000\u01c5\u01c8\u0005L\u0000\u0000\u01c6\u01c8\u0005_\u0000"+ - "\u0000\u01c7\u01c5\u0001\u0000\u0000\u0000\u01c7\u01c6\u0001\u0000\u0000"+ - "\u0000\u01c8E\u0001\u0000\u0000\u0000\u01c9\u01cc\u0005^\u0000\u0000\u01ca"+ - "\u01cc\u0005`\u0000\u0000\u01cb\u01c9\u0001\u0000\u0000\u0000\u01cb\u01ca"+ - "\u0001\u0000\u0000\u0000\u01ccG\u0001\u0000\u0000\u0000\u01cd\u01d1\u0003"+ - "@ \u0000\u01ce\u01d1\u0003D\"\u0000\u01cf\u01d1\u0003F#\u0000\u01d0\u01cd"+ - "\u0001\u0000\u0000\u0000\u01d0\u01ce\u0001\u0000\u0000\u0000\u01d0\u01cf"+ - "\u0001\u0000\u0000\u0000\u01d1I\u0001\u0000\u0000\u0000\u01d2\u01d5\u0003"+ - "\u00b4Z\u0000\u01d3\u01d5\u0003D\"\u0000\u01d4\u01d2\u0001\u0000\u0000"+ - "\u0000\u01d4\u01d3\u0001\u0000\u0000\u0000\u01d5K\u0001\u0000\u0000\u0000"+ - "\u01d6\u01d7\u0005\u000b\u0000\u0000\u01d7\u01d8\u0003\u00aaU\u0000\u01d8"+ - "M\u0001\u0000\u0000\u0000\u01d9\u01da\u0005\u000f\u0000\u0000\u01da\u01df"+ - "\u0003P(\u0000\u01db\u01dc\u0005>\u0000\u0000\u01dc\u01de\u0003P(\u0000"+ - "\u01dd\u01db\u0001\u0000\u0000\u0000\u01de\u01e1\u0001\u0000\u0000\u0000"+ - "\u01df\u01dd\u0001\u0000\u0000\u0000\u01df\u01e0\u0001\u0000\u0000\u0000"+ - "\u01e0O\u0001\u0000\u0000\u0000\u01e1\u01df\u0001\u0000\u0000\u0000\u01e2"+ - "\u01e4\u0003\u0094J\u0000\u01e3\u01e5\u0007\u0002\u0000\u0000\u01e4\u01e3"+ - "\u0001\u0000\u0000\u0000\u01e4\u01e5\u0001\u0000\u0000\u0000\u01e5\u01e8"+ - "\u0001\u0000\u0000\u0000\u01e6\u01e7\u0005I\u0000\u0000\u01e7\u01e9\u0007"+ - "\u0003\u0000\u0000\u01e8\u01e6\u0001\u0000\u0000\u0000\u01e8\u01e9\u0001"+ - "\u0000\u0000\u0000\u01e9Q\u0001\u0000\u0000\u0000\u01ea\u01eb\u0005\u001f"+ - "\u0000\u0000\u01eb\u01ec\u0003>\u001f\u0000\u01ecS\u0001\u0000\u0000\u0000"+ - "\u01ed\u01ee\u0005\u001e\u0000\u0000\u01ee\u01ef\u0003>\u001f\u0000\u01ef"+ - "U\u0001\u0000\u0000\u0000\u01f0\u01f1\u0005\"\u0000\u0000\u01f1\u01f6"+ - "\u0003X,\u0000\u01f2\u01f3\u0005>\u0000\u0000\u01f3\u01f5\u0003X,\u0000"+ - "\u01f4\u01f2\u0001\u0000\u0000\u0000\u01f5\u01f8\u0001\u0000\u0000\u0000"+ - "\u01f6\u01f4\u0001\u0000\u0000\u0000\u01f6\u01f7\u0001\u0000\u0000\u0000"+ - "\u01f7W\u0001\u0000\u0000\u0000\u01f8\u01f6\u0001\u0000\u0000\u0000\u01f9"+ - "\u01fa\u0003:\u001d\u0000\u01fa\u01fb\u0005\u0094\u0000\u0000\u01fb\u01fc"+ - "\u0003:\u001d\u0000\u01fc\u0202\u0001\u0000\u0000\u0000\u01fd\u01fe\u0003"+ - ":\u001d\u0000\u01fe\u01ff\u00059\u0000\u0000\u01ff\u0200\u0003:\u001d"+ - "\u0000\u0200\u0202\u0001\u0000\u0000\u0000\u0201\u01f9\u0001\u0000\u0000"+ - "\u0000\u0201\u01fd\u0001\u0000\u0000\u0000\u0202Y\u0001\u0000\u0000\u0000"+ - "\u0203\u0204\u0005\b\u0000\u0000\u0204\u0205\u0003\u009eO\u0000\u0205"+ - "\u0207\u0003\u00b4Z\u0000\u0206\u0208\u0003\\.\u0000\u0207\u0206\u0001"+ - "\u0000\u0000\u0000\u0207\u0208\u0001\u0000\u0000\u0000\u0208[\u0001\u0000"+ - "\u0000\u0000\u0209\u020e\u0003^/\u0000\u020a\u020b\u0005>\u0000\u0000"+ - "\u020b\u020d\u0003^/\u0000\u020c\u020a\u0001\u0000\u0000\u0000\u020d\u0210"+ - "\u0001\u0000\u0000\u0000\u020e\u020c\u0001\u0000\u0000\u0000\u020e\u020f"+ - "\u0001\u0000\u0000\u0000\u020f]\u0001\u0000\u0000\u0000\u0210\u020e\u0001"+ - "\u0000\u0000\u0000\u0211\u0212\u0003@ \u0000\u0212\u0213\u00059\u0000"+ - "\u0000\u0213\u0214\u0003\u00aaU\u0000\u0214_\u0001\u0000\u0000\u0000\u0215"+ - "\u0216\u0005O\u0000\u0000\u0216\u0218\u0003\u00a4R\u0000\u0217\u0215\u0001"+ - "\u0000\u0000\u0000\u0217\u0218\u0001\u0000\u0000\u0000\u0218a\u0001\u0000"+ - "\u0000\u0000\u0219\u021a\u0005\n\u0000\u0000\u021a\u021b\u0003\u009eO"+ - "\u0000\u021b\u0220\u0003\u00b4Z\u0000\u021c\u021d\u0005>\u0000\u0000\u021d"+ - "\u021f\u0003\u00b4Z\u0000\u021e\u021c\u0001\u0000\u0000\u0000\u021f\u0222"+ - "\u0001\u0000\u0000\u0000\u0220\u021e\u0001\u0000\u0000\u0000\u0220\u0221"+ - "\u0001\u0000\u0000\u0000\u0221c\u0001\u0000\u0000\u0000\u0222\u0220\u0001"+ - "\u0000\u0000\u0000\u0223\u0224\u0005\u001d\u0000\u0000\u0224\u0225\u0003"+ - "6\u001b\u0000\u0225e\u0001\u0000\u0000\u0000\u0226\u0227\u0005\u0006\u0000"+ - "\u0000\u0227\u0228\u0003h4\u0000\u0228g\u0001\u0000\u0000\u0000\u0229"+ - "\u022a\u0005c\u0000\u0000\u022a\u022b\u0003\u0004\u0002\u0000\u022b\u022c"+ - "\u0005d\u0000\u0000\u022ci\u0001\u0000\u0000\u0000\u022d\u022e\u0005$"+ - "\u0000\u0000\u022e\u022f\u0005\u009b\u0000\u0000\u022fk\u0001\u0000\u0000"+ - "\u0000\u0230\u0231\u0005\u0005\u0000\u0000\u0231\u0234\u0003n7\u0000\u0232"+ - "\u0233\u0005J\u0000\u0000\u0233\u0235\u0003:\u001d\u0000\u0234\u0232\u0001"+ - "\u0000\u0000\u0000\u0234\u0235\u0001\u0000\u0000\u0000\u0235\u023f\u0001"+ - "\u0000\u0000\u0000\u0236\u0237\u0005O\u0000\u0000\u0237\u023c\u0003p8"+ - "\u0000\u0238\u0239\u0005>\u0000\u0000\u0239\u023b\u0003p8\u0000\u023a"+ - "\u0238\u0001\u0000\u0000\u0000\u023b\u023e\u0001\u0000\u0000\u0000\u023c"+ - "\u023a\u0001\u0000\u0000\u0000\u023c\u023d\u0001\u0000\u0000\u0000\u023d"+ - "\u0240\u0001\u0000\u0000\u0000\u023e\u023c\u0001\u0000\u0000\u0000\u023f"+ - "\u0236\u0001\u0000\u0000\u0000\u023f\u0240\u0001\u0000\u0000\u0000\u0240"+ - "m\u0001\u0000\u0000\u0000\u0241\u0242\u0007\u0004\u0000\u0000\u0242o\u0001"+ - "\u0000\u0000\u0000\u0243\u0244\u0003:\u001d\u0000\u0244\u0245\u00059\u0000"+ - "\u0000\u0245\u0247\u0001\u0000\u0000\u0000\u0246\u0243\u0001\u0000\u0000"+ - "\u0000\u0246\u0247\u0001\u0000\u0000\u0000\u0247\u0248\u0001\u0000\u0000"+ - "\u0000\u0248\u0249\u0003:\u001d\u0000\u0249q\u0001\u0000\u0000\u0000\u024a"+ - "\u024b\u0005\u000e\u0000\u0000\u024b\u024c\u0003\u00aaU\u0000\u024cs\u0001"+ - "\u0000\u0000\u0000\u024d\u024e\u0005\u0004\u0000\u0000\u024e\u0251\u0003"+ - "6\u001b\u0000\u024f\u0250\u0005J\u0000\u0000\u0250\u0252\u00036\u001b"+ - "\u0000\u0251\u024f\u0001\u0000\u0000\u0000\u0251\u0252\u0001\u0000\u0000"+ - "\u0000\u0252\u0258\u0001\u0000\u0000\u0000\u0253\u0254\u0005\u0094\u0000"+ - "\u0000\u0254\u0255\u00036\u001b\u0000\u0255\u0256\u0005>\u0000\u0000\u0256"+ - "\u0257\u00036\u001b\u0000\u0257\u0259\u0001\u0000\u0000\u0000\u0258\u0253"+ - "\u0001\u0000\u0000\u0000\u0258\u0259\u0001\u0000\u0000\u0000\u0259u\u0001"+ - "\u0000\u0000\u0000\u025a\u025b\u0005\u0014\u0000\u0000\u025b\u025c\u0003"+ - "x<\u0000\u025cw\u0001\u0000\u0000\u0000\u025d\u025f\u0003z=\u0000\u025e"+ - "\u025d\u0001\u0000\u0000\u0000\u025f\u0260\u0001\u0000\u0000\u0000\u0260"+ - "\u025e\u0001\u0000\u0000\u0000\u0260\u0261\u0001\u0000\u0000\u0000\u0261"+ - "y\u0001\u0000\u0000\u0000\u0262\u0263\u0005c\u0000\u0000\u0263\u0264\u0003"+ - "|>\u0000\u0264\u0265\u0005d\u0000\u0000\u0265{\u0001\u0000\u0000\u0000"+ - "\u0266\u0267\u0006>\uffff\uffff\u0000\u0267\u0268\u0003~?\u0000\u0268"+ - "\u026e\u0001\u0000\u0000\u0000\u0269\u026a\n\u0001\u0000\u0000\u026a\u026b"+ - "\u00053\u0000\u0000\u026b\u026d\u0003~?\u0000\u026c\u0269\u0001\u0000"+ - "\u0000\u0000\u026d\u0270\u0001\u0000\u0000\u0000\u026e\u026c\u0001\u0000"+ - "\u0000\u0000\u026e\u026f\u0001\u0000\u0000\u0000\u026f}\u0001\u0000\u0000"+ - "\u0000\u0270\u026e\u0001\u0000\u0000\u0000\u0271\u0272\u0003\b\u0004\u0000"+ - "\u0272\u007f\u0001\u0000\u0000\u0000\u0273\u0277\u0005\f\u0000\u0000\u0274"+ - "\u0275\u00036\u001b\u0000\u0275\u0276\u00059\u0000\u0000\u0276\u0278\u0001"+ - "\u0000\u0000\u0000\u0277\u0274\u0001\u0000\u0000\u0000\u0277\u0278\u0001"+ - "\u0000\u0000\u0000\u0278\u0279\u0001\u0000\u0000\u0000\u0279\u027a\u0003"+ - "\u00aaU\u0000\u027a\u027b\u0005J\u0000\u0000\u027b\u027c\u0003\u0014\n"+ - "\u0000\u027c\u027d\u0003`0\u0000\u027d\u0081\u0001\u0000\u0000\u0000\u027e"+ - "\u0282\u0005\u0007\u0000\u0000\u027f\u0280\u00036\u001b\u0000\u0280\u0281"+ - "\u00059\u0000\u0000\u0281\u0283\u0001\u0000\u0000\u0000\u0282\u027f\u0001"+ - "\u0000\u0000\u0000\u0282\u0283\u0001\u0000\u0000\u0000\u0283\u0284\u0001"+ - "\u0000\u0000\u0000\u0284\u0285\u0003\u009eO\u0000\u0285\u0286\u0003`0"+ - "\u0000\u0286\u0083\u0001\u0000\u0000\u0000\u0287\u0288\u0005\u0016\u0000"+ - "\u0000\u0288\u0289\u0005x\u0000\u0000\u0289\u028c\u00032\u0019\u0000\u028a"+ - "\u028b\u0005:\u0000\u0000\u028b\u028d\u0003\u0010\b\u0000\u028c\u028a"+ - "\u0001\u0000\u0000\u0000\u028c\u028d\u0001\u0000\u0000\u0000\u028d\u0295"+ - "\u0001\u0000\u0000\u0000\u028e\u028f\u0005\u0017\u0000\u0000\u028f\u0292"+ - "\u00032\u0019\u0000\u0290\u0291\u0005:\u0000\u0000\u0291\u0293\u0003\u0010"+ - "\b\u0000\u0292\u0290\u0001\u0000\u0000\u0000\u0292\u0293\u0001\u0000\u0000"+ - "\u0000\u0293\u0295\u0001\u0000\u0000\u0000\u0294\u0287\u0001\u0000\u0000"+ - "\u0000\u0294\u028e\u0001\u0000\u0000\u0000\u0295\u0085\u0001\u0000\u0000"+ - "\u0000\u0296\u0298\u0005\u0015\u0000\u0000\u0297\u0299\u0003@ \u0000\u0298"+ - "\u0297\u0001\u0000\u0000\u0000\u0298\u0299\u0001\u0000\u0000\u0000\u0299"+ - "\u029d\u0001\u0000\u0000\u0000\u029a\u029c\u0003\u0088D\u0000\u029b\u029a"+ - "\u0001\u0000\u0000\u0000\u029c\u029f\u0001\u0000\u0000\u0000\u029d\u029b"+ - "\u0001\u0000\u0000\u0000\u029d\u029e\u0001\u0000\u0000\u0000\u029e\u0087"+ - "\u0001\u0000\u0000\u0000\u029f\u029d\u0001\u0000\u0000\u0000\u02a0\u02a1"+ - "\u0005s\u0000\u0000\u02a1\u02a2\u0005:\u0000\u0000\u02a2\u02ac\u00036"+ - "\u001b\u0000\u02a3\u02a4\u0005t\u0000\u0000\u02a4\u02a5\u0005:\u0000\u0000"+ - "\u02a5\u02ac\u0003\u008aE\u0000\u02a6\u02a7\u0005r\u0000\u0000\u02a7\u02a8"+ - "\u0005:\u0000\u0000\u02a8\u02ac\u00036\u001b\u0000\u02a9\u02aa\u0005O"+ - "\u0000\u0000\u02aa\u02ac\u0003\u00a4R\u0000\u02ab\u02a0\u0001\u0000\u0000"+ - "\u0000\u02ab\u02a3\u0001\u0000\u0000\u0000\u02ab\u02a6\u0001\u0000\u0000"+ - "\u0000\u02ab\u02a9\u0001\u0000\u0000\u0000\u02ac\u0089\u0001\u0000\u0000"+ - "\u0000\u02ad\u02b2\u00036\u001b\u0000\u02ae\u02af\u0005>\u0000\u0000\u02af"+ - "\u02b1\u00036\u001b\u0000\u02b0\u02ae\u0001\u0000\u0000\u0000\u02b1\u02b4"+ - "\u0001\u0000\u0000\u0000\u02b2\u02b0\u0001\u0000\u0000\u0000\u02b2\u02b3"+ - "\u0001\u0000\u0000\u0000\u02b3\u008b\u0001\u0000\u0000\u0000\u02b4\u02b2"+ - "\u0001\u0000\u0000\u0000\u02b5\u02b6\u0005\u001c\u0000\u0000\u02b6\u02b7"+ - "\u0003\"\u0011\u0000\u02b7\u02b8\u0005J\u0000\u0000\u02b8\u02b9\u0003"+ - ">\u001f\u0000\u02b9\u008d\u0001\u0000\u0000\u0000\u02ba\u02bb\u0005 \u0000"+ - "\u0000\u02bb\u02bc\u0003>\u001f\u0000\u02bc\u008f\u0001\u0000\u0000\u0000"+ - "\u02bd\u02be\u0005#\u0000\u0000\u02be\u02bf\u0003\u0092I\u0000\u02bf\u02c0"+ - "\u0005=\u0000\u0000\u02c0\u0091\u0001\u0000\u0000\u0000\u02c1\u02c2\u0003"+ - "@ \u0000\u02c2\u02c5\u00059\u0000\u0000\u02c3\u02c6\u0003\u00aaU\u0000"+ - "\u02c4\u02c6\u0003\u00a4R\u0000\u02c5\u02c3\u0001\u0000\u0000\u0000\u02c5"+ - "\u02c4\u0001\u0000\u0000\u0000\u02c6\u0093\u0001\u0000\u0000\u0000\u02c7"+ - "\u02c8\u0006J\uffff\uffff\u0000\u02c8\u02c9\u0005G\u0000\u0000\u02c9\u02e5"+ - "\u0003\u0094J\b\u02ca\u02e5\u0003\u009aM\u0000\u02cb\u02e5\u0003\u0096"+ - "K\u0000\u02cc\u02ce\u0003\u009aM\u0000\u02cd\u02cf\u0005G\u0000\u0000"+ - "\u02ce\u02cd\u0001\u0000\u0000\u0000\u02ce\u02cf\u0001\u0000\u0000\u0000"+ - "\u02cf\u02d0\u0001\u0000\u0000\u0000\u02d0\u02d1\u0005C\u0000\u0000\u02d1"+ - "\u02d2\u0005c\u0000\u0000\u02d2\u02d7\u0003\u009aM\u0000\u02d3\u02d4\u0005"+ - ">\u0000\u0000\u02d4\u02d6\u0003\u009aM\u0000\u02d5\u02d3\u0001\u0000\u0000"+ - "\u0000\u02d6\u02d9\u0001\u0000\u0000\u0000\u02d7\u02d5\u0001\u0000\u0000"+ - "\u0000\u02d7\u02d8\u0001\u0000\u0000\u0000\u02d8\u02da\u0001\u0000\u0000"+ - "\u0000\u02d9\u02d7\u0001\u0000\u0000\u0000\u02da\u02db\u0005d\u0000\u0000"+ - "\u02db\u02e5\u0001\u0000\u0000\u0000\u02dc\u02dd\u0003\u009aM\u0000\u02dd"+ - "\u02df\u0005D\u0000\u0000\u02de\u02e0\u0005G\u0000\u0000\u02df\u02de\u0001"+ - "\u0000\u0000\u0000\u02df\u02e0\u0001\u0000\u0000\u0000\u02e0\u02e1\u0001"+ - "\u0000\u0000\u0000\u02e1\u02e2\u0005H\u0000\u0000\u02e2\u02e5\u0001\u0000"+ - "\u0000\u0000\u02e3\u02e5\u0003\u0098L\u0000\u02e4\u02c7\u0001\u0000\u0000"+ - "\u0000\u02e4\u02ca\u0001\u0000\u0000\u0000\u02e4\u02cb\u0001\u0000\u0000"+ - "\u0000\u02e4\u02cc\u0001\u0000\u0000\u0000\u02e4\u02dc\u0001\u0000\u0000"+ - "\u0000\u02e4\u02e3\u0001\u0000\u0000\u0000\u02e5\u02ee\u0001\u0000\u0000"+ - "\u0000\u02e6\u02e7\n\u0005\u0000\u0000\u02e7\u02e8\u00057\u0000\u0000"+ - "\u02e8\u02ed\u0003\u0094J\u0006\u02e9\u02ea\n\u0004\u0000\u0000\u02ea"+ - "\u02eb\u0005K\u0000\u0000\u02eb\u02ed\u0003\u0094J\u0005\u02ec\u02e6\u0001"+ - "\u0000\u0000\u0000\u02ec\u02e9\u0001\u0000\u0000\u0000\u02ed\u02f0\u0001"+ - "\u0000\u0000\u0000\u02ee\u02ec\u0001\u0000\u0000\u0000\u02ee\u02ef\u0001"+ - "\u0000\u0000\u0000\u02ef\u0095\u0001\u0000\u0000\u0000\u02f0\u02ee\u0001"+ - "\u0000\u0000\u0000\u02f1\u02f3\u0003\u009aM\u0000\u02f2\u02f4\u0005G\u0000"+ - "\u0000\u02f3\u02f2\u0001\u0000\u0000\u0000\u02f3\u02f4\u0001\u0000\u0000"+ - "\u0000\u02f4\u02f5\u0001\u0000\u0000\u0000\u02f5\u02f6\u0005F\u0000\u0000"+ - "\u02f6\u02f7\u0003J%\u0000\u02f7\u0320\u0001\u0000\u0000\u0000\u02f8\u02fa"+ - "\u0003\u009aM\u0000\u02f9\u02fb\u0005G\u0000\u0000\u02fa\u02f9\u0001\u0000"+ - "\u0000\u0000\u02fa\u02fb\u0001\u0000\u0000\u0000\u02fb\u02fc\u0001\u0000"+ - "\u0000\u0000\u02fc\u02fd\u0005M\u0000\u0000\u02fd\u02fe\u0003J%\u0000"+ - "\u02fe\u0320\u0001\u0000\u0000\u0000\u02ff\u0301\u0003\u009aM\u0000\u0300"+ - "\u0302\u0005G\u0000\u0000\u0301\u0300\u0001\u0000\u0000\u0000\u0301\u0302"+ - "\u0001\u0000\u0000\u0000\u0302\u0303\u0001\u0000\u0000\u0000\u0303\u0304"+ - "\u0005F\u0000\u0000\u0304\u0305\u0005c\u0000\u0000\u0305\u030a\u0003J"+ - "%\u0000\u0306\u0307\u0005>\u0000\u0000\u0307\u0309\u0003J%\u0000\u0308"+ - "\u0306\u0001\u0000\u0000\u0000\u0309\u030c\u0001\u0000\u0000\u0000\u030a"+ - "\u0308\u0001\u0000\u0000\u0000\u030a\u030b\u0001\u0000\u0000\u0000\u030b"+ - "\u030d\u0001\u0000\u0000\u0000\u030c\u030a\u0001\u0000\u0000\u0000\u030d"+ - "\u030e\u0005d\u0000\u0000\u030e\u0320\u0001\u0000\u0000\u0000\u030f\u0311"+ - "\u0003\u009aM\u0000\u0310\u0312\u0005G\u0000\u0000\u0311\u0310\u0001\u0000"+ - "\u0000\u0000\u0311\u0312\u0001\u0000\u0000\u0000\u0312\u0313\u0001\u0000"+ - "\u0000\u0000\u0313\u0314\u0005M\u0000\u0000\u0314\u0315\u0005c\u0000\u0000"+ - "\u0315\u031a\u0003J%\u0000\u0316\u0317\u0005>\u0000\u0000\u0317\u0319"+ - "\u0003J%\u0000\u0318\u0316\u0001\u0000\u0000\u0000\u0319\u031c\u0001\u0000"+ - "\u0000\u0000\u031a\u0318\u0001\u0000\u0000\u0000\u031a\u031b\u0001\u0000"+ - "\u0000\u0000\u031b\u031d\u0001\u0000\u0000\u0000\u031c\u031a\u0001\u0000"+ - "\u0000\u0000\u031d\u031e\u0005d\u0000\u0000\u031e\u0320\u0001\u0000\u0000"+ - "\u0000\u031f\u02f1\u0001\u0000\u0000\u0000\u031f\u02f8\u0001\u0000\u0000"+ - "\u0000\u031f\u02ff\u0001\u0000\u0000\u0000\u031f\u030f\u0001\u0000\u0000"+ - "\u0000\u0320\u0097\u0001\u0000\u0000\u0000\u0321\u0324\u00036\u001b\u0000"+ - "\u0322\u0323\u0005;\u0000\u0000\u0323\u0325\u0003\f\u0006\u0000\u0324"+ - "\u0322\u0001\u0000\u0000\u0000\u0324\u0325\u0001\u0000\u0000\u0000\u0325"+ - "\u0326\u0001\u0000\u0000\u0000\u0326\u0327\u0005<\u0000\u0000\u0327\u0328"+ - "\u0003\u00aaU\u0000\u0328\u0099\u0001\u0000\u0000\u0000\u0329\u032f\u0003"+ - "\u009cN\u0000\u032a\u032b\u0003\u009cN\u0000\u032b\u032c\u0003\u00b6["+ - "\u0000\u032c\u032d\u0003\u009cN\u0000\u032d\u032f\u0001\u0000\u0000\u0000"+ - "\u032e\u0329\u0001\u0000\u0000\u0000\u032e\u032a\u0001\u0000\u0000\u0000"+ - "\u032f\u009b\u0001\u0000\u0000\u0000\u0330\u0331\u0006N\uffff\uffff\u0000"+ - "\u0331\u0335\u0003\u009eO\u0000\u0332\u0333\u0007\u0005\u0000\u0000\u0333"+ - "\u0335\u0003\u009cN\u0003\u0334\u0330\u0001\u0000\u0000\u0000\u0334\u0332"+ - "\u0001\u0000\u0000\u0000\u0335\u033e\u0001\u0000\u0000\u0000\u0336\u0337"+ - "\n\u0002\u0000\u0000\u0337\u0338\u0007\u0006\u0000\u0000\u0338\u033d\u0003"+ - "\u009cN\u0003\u0339\u033a\n\u0001\u0000\u0000\u033a\u033b\u0007\u0005"+ - "\u0000\u0000\u033b\u033d\u0003\u009cN\u0002\u033c\u0336\u0001\u0000\u0000"+ - "\u0000\u033c\u0339\u0001\u0000\u0000\u0000\u033d\u0340\u0001\u0000\u0000"+ - "\u0000\u033e\u033c\u0001\u0000\u0000\u0000\u033e\u033f\u0001\u0000\u0000"+ - "\u0000\u033f\u009d\u0001\u0000\u0000\u0000\u0340\u033e\u0001\u0000\u0000"+ - "\u0000\u0341\u0342\u0006O\uffff\uffff\u0000\u0342\u034a\u0003\u00aaU\u0000"+ - "\u0343\u034a\u00036\u001b\u0000\u0344\u034a\u0003\u00a0P\u0000\u0345\u0346"+ - "\u0005c\u0000\u0000\u0346\u0347\u0003\u0094J\u0000\u0347\u0348\u0005d"+ - "\u0000\u0000\u0348\u034a\u0001\u0000\u0000\u0000\u0349\u0341\u0001\u0000"+ - "\u0000\u0000\u0349\u0343\u0001\u0000\u0000\u0000\u0349\u0344\u0001\u0000"+ - "\u0000\u0000\u0349\u0345\u0001\u0000\u0000\u0000\u034a\u0350\u0001\u0000"+ - "\u0000\u0000\u034b\u034c\n\u0001\u0000\u0000\u034c\u034d\u0005;\u0000"+ - "\u0000\u034d\u034f\u0003\f\u0006\u0000\u034e\u034b\u0001\u0000\u0000\u0000"+ - "\u034f\u0352\u0001\u0000\u0000\u0000\u0350\u034e\u0001\u0000\u0000\u0000"+ - "\u0350\u0351\u0001\u0000\u0000\u0000\u0351\u009f\u0001\u0000\u0000\u0000"+ - "\u0352\u0350\u0001\u0000\u0000\u0000\u0353\u0354\u0003\u00a2Q\u0000\u0354"+ - "\u0362\u0005c\u0000\u0000\u0355\u0363\u0005Y\u0000\u0000\u0356\u035b\u0003"+ - "\u0094J\u0000\u0357\u0358\u0005>\u0000\u0000\u0358\u035a\u0003\u0094J"+ - "\u0000\u0359\u0357\u0001\u0000\u0000\u0000\u035a\u035d\u0001\u0000\u0000"+ - "\u0000\u035b\u0359\u0001\u0000\u0000\u0000\u035b\u035c\u0001\u0000\u0000"+ - "\u0000\u035c\u0360\u0001\u0000\u0000\u0000\u035d\u035b\u0001\u0000\u0000"+ - "\u0000\u035e\u035f\u0005>\u0000\u0000\u035f\u0361\u0003\u00a4R\u0000\u0360"+ - "\u035e\u0001\u0000\u0000\u0000\u0360\u0361\u0001\u0000\u0000\u0000\u0361"+ - "\u0363\u0001\u0000\u0000\u0000\u0362\u0355\u0001\u0000\u0000\u0000\u0362"+ - "\u0356\u0001\u0000\u0000\u0000\u0362\u0363\u0001\u0000\u0000\u0000\u0363"+ - "\u0364\u0001\u0000\u0000\u0000\u0364\u0365\u0005d\u0000\u0000\u0365\u00a1"+ - "\u0001\u0000\u0000\u0000\u0366\u036a\u0003H$\u0000\u0367\u036a\u0005B"+ - "\u0000\u0000\u0368\u036a\u0005E\u0000\u0000\u0369\u0366\u0001\u0000\u0000"+ - "\u0000\u0369\u0367\u0001\u0000\u0000\u0000\u0369\u0368\u0001\u0000\u0000"+ - "\u0000\u036a\u00a3\u0001\u0000\u0000\u0000\u036b\u0374\u0005\\\u0000\u0000"+ - "\u036c\u0371\u0003\u00a6S\u0000\u036d\u036e\u0005>\u0000\u0000\u036e\u0370"+ - "\u0003\u00a6S\u0000\u036f\u036d\u0001\u0000\u0000\u0000\u0370\u0373\u0001"+ - "\u0000\u0000\u0000\u0371\u036f\u0001\u0000\u0000\u0000\u0371\u0372\u0001"+ - "\u0000\u0000\u0000\u0372\u0375\u0001\u0000\u0000\u0000\u0373\u0371\u0001"+ - "\u0000\u0000\u0000\u0374\u036c\u0001\u0000\u0000\u0000\u0374\u0375\u0001"+ - "\u0000\u0000\u0000\u0375\u0376\u0001\u0000\u0000\u0000\u0376\u0377\u0005"+ - "]\u0000\u0000\u0377\u00a5\u0001\u0000\u0000\u0000\u0378\u0379\u0003\u00b4"+ - "Z\u0000\u0379\u037a\u0005<\u0000\u0000\u037a\u037b\u0003\u00a8T\u0000"+ - "\u037b\u00a7\u0001\u0000\u0000\u0000\u037c\u037f\u0003\u00aaU\u0000\u037d"+ - "\u037f\u0003\u00a4R\u0000\u037e\u037c\u0001\u0000\u0000\u0000\u037e\u037d"+ - "\u0001\u0000\u0000\u0000\u037f\u00a9\u0001\u0000\u0000\u0000\u0380\u03ab"+ - "\u0005H\u0000\u0000\u0381\u0382\u0003\u00b2Y\u0000\u0382\u0383\u0005e"+ - "\u0000\u0000\u0383\u03ab\u0001\u0000\u0000\u0000\u0384\u03ab\u0003\u00b0"+ - "X\u0000\u0385\u03ab\u0003\u00b2Y\u0000\u0386\u03ab\u0003\u00acV\u0000"+ - "\u0387\u03ab\u0003D\"\u0000\u0388\u03ab\u0003\u00b4Z\u0000\u0389\u038a"+ - "\u0005a\u0000\u0000\u038a\u038f\u0003\u00aeW\u0000\u038b\u038c\u0005>"+ - "\u0000\u0000\u038c\u038e\u0003\u00aeW\u0000\u038d\u038b\u0001\u0000\u0000"+ - "\u0000\u038e\u0391\u0001\u0000\u0000\u0000\u038f\u038d\u0001\u0000\u0000"+ - "\u0000\u038f\u0390\u0001\u0000\u0000\u0000\u0390\u0392\u0001\u0000\u0000"+ - "\u0000\u0391\u038f\u0001\u0000\u0000\u0000\u0392\u0393\u0005b\u0000\u0000"+ - "\u0393\u03ab\u0001\u0000\u0000\u0000\u0394\u0395\u0005a\u0000\u0000\u0395"+ - "\u039a\u0003\u00acV\u0000\u0396\u0397\u0005>\u0000\u0000\u0397\u0399\u0003"+ - "\u00acV\u0000\u0398\u0396\u0001\u0000\u0000\u0000\u0399\u039c\u0001\u0000"+ - "\u0000\u0000\u039a\u0398\u0001\u0000\u0000\u0000\u039a\u039b\u0001\u0000"+ - "\u0000\u0000\u039b\u039d\u0001\u0000\u0000\u0000\u039c\u039a\u0001\u0000"+ - "\u0000\u0000\u039d\u039e\u0005b\u0000\u0000\u039e\u03ab\u0001\u0000\u0000"+ - "\u0000\u039f\u03a0\u0005a\u0000\u0000\u03a0\u03a5\u0003\u00b4Z\u0000\u03a1"+ - "\u03a2\u0005>\u0000\u0000\u03a2\u03a4\u0003\u00b4Z\u0000\u03a3\u03a1\u0001"+ - "\u0000\u0000\u0000\u03a4\u03a7\u0001\u0000\u0000\u0000\u03a5\u03a3\u0001"+ - "\u0000\u0000\u0000\u03a5\u03a6\u0001\u0000\u0000\u0000\u03a6\u03a8\u0001"+ - "\u0000\u0000\u0000\u03a7\u03a5\u0001\u0000\u0000\u0000\u03a8\u03a9\u0005"+ - "b\u0000\u0000\u03a9\u03ab\u0001\u0000\u0000\u0000\u03aa\u0380\u0001\u0000"+ - "\u0000\u0000\u03aa\u0381\u0001\u0000\u0000\u0000\u03aa\u0384\u0001\u0000"+ - "\u0000\u0000\u03aa\u0385\u0001\u0000\u0000\u0000\u03aa\u0386\u0001\u0000"+ - "\u0000\u0000\u03aa\u0387\u0001\u0000\u0000\u0000\u03aa\u0388\u0001\u0000"+ - "\u0000\u0000\u03aa\u0389\u0001\u0000\u0000\u0000\u03aa\u0394\u0001\u0000"+ - "\u0000\u0000\u03aa\u039f\u0001\u0000\u0000\u0000\u03ab\u00ab\u0001\u0000"+ - "\u0000\u0000\u03ac\u03ad\u0007\u0007\u0000\u0000\u03ad\u00ad\u0001\u0000"+ - "\u0000\u0000\u03ae\u03b1\u0003\u00b0X\u0000\u03af\u03b1\u0003\u00b2Y\u0000"+ - "\u03b0\u03ae\u0001\u0000\u0000\u0000\u03b0\u03af\u0001\u0000\u0000\u0000"+ - "\u03b1\u00af\u0001\u0000\u0000\u0000\u03b2\u03b4\u0007\u0005\u0000\u0000"+ - "\u03b3\u03b2\u0001\u0000\u0000\u0000\u03b3\u03b4\u0001\u0000\u0000\u0000"+ - "\u03b4\u03b5\u0001\u0000\u0000\u0000\u03b5\u03b6\u00056\u0000\u0000\u03b6"+ - "\u00b1\u0001\u0000\u0000\u0000\u03b7\u03b9\u0007\u0005\u0000\u0000\u03b8"+ - "\u03b7\u0001\u0000\u0000\u0000\u03b8\u03b9\u0001\u0000\u0000\u0000\u03b9"+ - "\u03ba\u0001\u0000\u0000\u0000\u03ba\u03bb\u00055\u0000\u0000\u03bb\u00b3"+ - "\u0001\u0000\u0000\u0000\u03bc\u03bd\u00054\u0000\u0000\u03bd\u00b5\u0001"+ - "\u0000\u0000\u0000\u03be\u03bf\u0007\b\u0000\u0000\u03bf\u00b7\u0001\u0000"+ - "\u0000\u0000\u03c0\u03c1\u0007\t\u0000\u0000\u03c1\u03c2\u0005|\u0000"+ - "\u0000\u03c2\u03c3\u0003\u00ba]\u0000\u03c3\u03c4\u0003\u00bc^\u0000\u03c4"+ - "\u00b9\u0001\u0000\u0000\u0000\u03c5\u03c6\u0004]\u000e\u0000\u03c6\u03c8"+ - "\u0003\"\u0011\u0000\u03c7\u03c9\u0005\u0094\u0000\u0000\u03c8\u03c7\u0001"+ - "\u0000\u0000\u0000\u03c8\u03c9\u0001\u0000\u0000\u0000\u03c9\u03ca\u0001"+ - "\u0000\u0000\u0000\u03ca\u03cb\u0005k\u0000\u0000\u03cb\u03ce\u0001\u0000"+ - "\u0000\u0000\u03cc\u03ce\u0003\"\u0011\u0000\u03cd\u03c5\u0001\u0000\u0000"+ - "\u0000\u03cd\u03cc\u0001\u0000\u0000\u0000\u03ce\u00bb\u0001\u0000\u0000"+ - "\u0000\u03cf\u03d0\u0005J\u0000\u0000\u03d0\u03d5\u0003\u0094J\u0000\u03d1"+ - "\u03d2\u0005>\u0000\u0000\u03d2\u03d4\u0003\u0094J\u0000\u03d3\u03d1\u0001"+ - "\u0000\u0000\u0000\u03d4\u03d7\u0001\u0000\u0000\u0000\u03d5\u03d3\u0001"+ - "\u0000\u0000\u0000\u03d5\u03d6\u0001\u0000\u0000\u0000\u03d6\u00bd\u0001"+ - "\u0000\u0000\u0000\u03d7\u03d5\u0001\u0000\u0000\u0000\u03d8\u03dc\u0005"+ - "!\u0000\u0000\u03d9\u03db\u0003\u00c2a\u0000\u03da\u03d9\u0001\u0000\u0000"+ - "\u0000\u03db\u03de\u0001\u0000\u0000\u0000\u03dc\u03da\u0001\u0000\u0000"+ - "\u0000\u03dc\u03dd\u0001\u0000\u0000\u0000\u03dd\u03e2\u0001\u0000\u0000"+ - "\u0000\u03de\u03dc\u0001\u0000\u0000\u0000\u03df\u03e0\u0003\u00c0`\u0000"+ - "\u03e0\u03e1\u00059\u0000\u0000\u03e1\u03e3\u0001\u0000\u0000\u0000\u03e2"+ - "\u03df\u0001\u0000\u0000\u0000\u03e2\u03e3\u0001\u0000\u0000\u0000\u03e3"+ - "\u03e4\u0001\u0000\u0000\u0000\u03e4\u03e6\u0005c\u0000\u0000\u03e5\u03e7"+ - "\u0003\u00cae\u0000\u03e6\u03e5\u0001\u0000\u0000\u0000\u03e7\u03e8\u0001"+ - "\u0000\u0000\u0000\u03e8\u03e6\u0001\u0000\u0000\u0000\u03e8\u03e9\u0001"+ - "\u0000\u0000\u0000\u03e9\u03ea\u0001\u0000\u0000\u0000\u03ea\u03eb\u0005"+ - "d\u0000\u0000\u03eb\u03f9\u0001\u0000\u0000\u0000\u03ec\u03f0\u0005!\u0000"+ - "\u0000\u03ed\u03ef\u0003\u00c2a\u0000\u03ee\u03ed\u0001\u0000\u0000\u0000"+ - "\u03ef\u03f2\u0001\u0000\u0000\u0000\u03f0\u03ee\u0001\u0000\u0000\u0000"+ - "\u03f0\u03f1\u0001\u0000\u0000\u0000\u03f1\u03f4\u0001\u0000\u0000\u0000"+ - "\u03f2\u03f0\u0001\u0000\u0000\u0000\u03f3\u03f5\u0003\u00cae\u0000\u03f4"+ + "\u00ed\u00f5\u0003\u0018\f\u0000\u00ee\u00f5\u0003\u000e\u0007\u0000\u00ef"+ + "\u00f5\u0003j5\u0000\u00f0\u00f5\u0003\u001a\r\u0000\u00f1\u00f5\u0003"+ + "\u00be_\u0000\u00f2\u00f3\u0004\u0003\u0001\u0000\u00f3\u00f5\u0003f3"+ + "\u0000\u00f4\u00ed\u0001\u0000\u0000\u0000\u00f4\u00ee\u0001\u0000\u0000"+ + "\u0000\u00f4\u00ef\u0001\u0000\u0000\u0000\u00f4\u00f0\u0001\u0000\u0000"+ + "\u0000\u00f4\u00f1\u0001\u0000\u0000\u0000\u00f4\u00f2\u0001\u0000\u0000"+ + "\u0000\u00f5\u0007\u0001\u0000\u0000\u0000\u00f6\u010f\u0003.\u0017\u0000"+ + "\u00f7\u010f\u0003\n\u0005\u0000\u00f8\u010f\u0003R)\u0000\u00f9\u010f"+ + "\u0003L&\u0000\u00fa\u010f\u00030\u0018\u0000\u00fb\u010f\u0003N\'\u0000"+ + "\u00fc\u010f\u0003T*\u0000\u00fd\u010f\u0003V+\u0000\u00fe\u010f\u0003"+ + "Z-\u0000\u00ff\u010f\u0003b1\u0000\u0100\u010f\u0003l6\u0000\u0101\u010f"+ + "\u0003d2\u0000\u0102\u010f\u0003\u00b8\\\u0000\u0103\u010f\u0003t:\u0000"+ + "\u0104\u010f\u0003\u0082A\u0000\u0105\u010f\u0003r9\u0000\u0106\u010f"+ + "\u0003v;\u0000\u0107\u010f\u0003\u0080@\u0000\u0108\u010f\u0003\u0084"+ + "B\u0000\u0109\u010f\u0003\u0086C\u0000\u010a\u010b\u0004\u0004\u0002\u0000"+ + "\u010b\u010f\u0003\u008cF\u0000\u010c\u010d\u0004\u0004\u0003\u0000\u010d"+ + "\u010f\u0003\u008eG\u0000\u010e\u00f6\u0001\u0000\u0000\u0000\u010e\u00f7"+ + "\u0001\u0000\u0000\u0000\u010e\u00f8\u0001\u0000\u0000\u0000\u010e\u00f9"+ + "\u0001\u0000\u0000\u0000\u010e\u00fa\u0001\u0000\u0000\u0000\u010e\u00fb"+ + "\u0001\u0000\u0000\u0000\u010e\u00fc\u0001\u0000\u0000\u0000\u010e\u00fd"+ + "\u0001\u0000\u0000\u0000\u010e\u00fe\u0001\u0000\u0000\u0000\u010e\u00ff"+ + "\u0001\u0000\u0000\u0000\u010e\u0100\u0001\u0000\u0000\u0000\u010e\u0101"+ + "\u0001\u0000\u0000\u0000\u010e\u0102\u0001\u0000\u0000\u0000\u010e\u0103"+ + "\u0001\u0000\u0000\u0000\u010e\u0104\u0001\u0000\u0000\u0000\u010e\u0105"+ + "\u0001\u0000\u0000\u0000\u010e\u0106\u0001\u0000\u0000\u0000\u010e\u0107"+ + "\u0001\u0000\u0000\u0000\u010e\u0108\u0001\u0000\u0000\u0000\u010e\u0109"+ + "\u0001\u0000\u0000\u0000\u010e\u010a\u0001\u0000\u0000\u0000\u010e\u010c"+ + "\u0001\u0000\u0000\u0000\u010f\t\u0001\u0000\u0000\u0000\u0110\u0111\u0005"+ + "\u0011\u0000\u0000\u0111\u0112\u0003\u0094J\u0000\u0112\u000b\u0001\u0000"+ + "\u0000\u0000\u0113\u0114\u0003@ \u0000\u0114\r\u0001\u0000\u0000\u0000"+ + "\u0115\u0116\u0005\r\u0000\u0000\u0116\u0117\u0003\u0010\b\u0000\u0117"+ + "\u000f\u0001\u0000\u0000\u0000\u0118\u011d\u0003\u0012\t\u0000\u0119\u011a"+ + "\u0005>\u0000\u0000\u011a\u011c\u0003\u0012\t\u0000\u011b\u0119\u0001"+ + "\u0000\u0000\u0000\u011c\u011f\u0001\u0000\u0000\u0000\u011d\u011b\u0001"+ + "\u0000\u0000\u0000\u011d\u011e\u0001\u0000\u0000\u0000\u011e\u0011\u0001"+ + "\u0000\u0000\u0000\u011f\u011d\u0001\u0000\u0000\u0000\u0120\u0121\u0003"+ + "6\u001b\u0000\u0121\u0122\u00059\u0000\u0000\u0122\u0124\u0001\u0000\u0000"+ + "\u0000\u0123\u0120\u0001\u0000\u0000\u0000\u0123\u0124\u0001\u0000\u0000"+ + "\u0000\u0124\u0125\u0001\u0000\u0000\u0000\u0125\u0126\u0003\u0094J\u0000"+ + "\u0126\u0013\u0001\u0000\u0000\u0000\u0127\u012c\u0003\u0016\u000b\u0000"+ + "\u0128\u0129\u0005>\u0000\u0000\u0129\u012b\u0003\u0016\u000b\u0000\u012a"+ + "\u0128\u0001\u0000\u0000\u0000\u012b\u012e\u0001\u0000\u0000\u0000\u012c"+ + "\u012a\u0001\u0000\u0000\u0000\u012c\u012d\u0001\u0000\u0000\u0000\u012d"+ + "\u0015\u0001\u0000\u0000\u0000\u012e\u012c\u0001\u0000\u0000\u0000\u012f"+ + "\u0132\u00036\u001b\u0000\u0130\u0131\u00059\u0000\u0000\u0131\u0133\u0003"+ + "\u0094J\u0000\u0132\u0130\u0001\u0000\u0000\u0000\u0132\u0133\u0001\u0000"+ + "\u0000\u0000\u0133\u0017\u0001\u0000\u0000\u0000\u0134\u0135\u0005\u0012"+ + "\u0000\u0000\u0135\u0136\u0003\u001c\u000e\u0000\u0136\u0019\u0001\u0000"+ + "\u0000\u0000\u0137\u0138\u0005\u0013\u0000\u0000\u0138\u0139\u0003\u001c"+ + "\u000e\u0000\u0139\u001b\u0001\u0000\u0000\u0000\u013a\u013f\u0003\u001e"+ + "\u000f\u0000\u013b\u013c\u0005>\u0000\u0000\u013c\u013e\u0003\u001e\u000f"+ + "\u0000\u013d\u013b\u0001\u0000\u0000\u0000\u013e\u0141\u0001\u0000\u0000"+ + "\u0000\u013f\u013d\u0001\u0000\u0000\u0000\u013f\u0140\u0001\u0000\u0000"+ + "\u0000\u0140\u0143\u0001\u0000\u0000\u0000\u0141\u013f\u0001\u0000\u0000"+ + "\u0000\u0142\u0144\u0003,\u0016\u0000\u0143\u0142\u0001\u0000\u0000\u0000"+ + "\u0143\u0144\u0001\u0000\u0000\u0000\u0144\u001d\u0001\u0000\u0000\u0000"+ + "\u0145\u0149\u0003\"\u0011\u0000\u0146\u0147\u0004\u000f\u0004\u0000\u0147"+ + "\u0149\u0003 \u0010\u0000\u0148\u0145\u0001\u0000\u0000\u0000\u0148\u0146"+ + "\u0001\u0000\u0000\u0000\u0149\u001f\u0001\u0000\u0000\u0000\u014a\u014b"+ + "\u0005c\u0000\u0000\u014b\u0150\u0003\u0018\f\u0000\u014c\u014d\u0005"+ + "3\u0000\u0000\u014d\u014f\u0003\b\u0004\u0000\u014e\u014c\u0001\u0000"+ + "\u0000\u0000\u014f\u0152\u0001\u0000\u0000\u0000\u0150\u014e\u0001\u0000"+ + "\u0000\u0000\u0150\u0151\u0001\u0000\u0000\u0000\u0151\u0153\u0001\u0000"+ + "\u0000\u0000\u0152\u0150\u0001\u0000\u0000\u0000\u0153\u0154\u0005d\u0000"+ + "\u0000\u0154!\u0001\u0000\u0000\u0000\u0155\u0156\u0003$\u0012\u0000\u0156"+ + "\u0157\u0005<\u0000\u0000\u0157\u0158\u0003(\u0014\u0000\u0158\u015f\u0001"+ + "\u0000\u0000\u0000\u0159\u015a\u0003(\u0014\u0000\u015a\u015b\u0005;\u0000"+ + "\u0000\u015b\u015c\u0003&\u0013\u0000\u015c\u015f\u0001\u0000\u0000\u0000"+ + "\u015d\u015f\u0003*\u0015\u0000\u015e\u0155\u0001\u0000\u0000\u0000\u015e"+ + "\u0159\u0001\u0000\u0000\u0000\u015e\u015d\u0001\u0000\u0000\u0000\u015f"+ + "#\u0001\u0000\u0000\u0000\u0160\u0161\u0005k\u0000\u0000\u0161%\u0001"+ + "\u0000\u0000\u0000\u0162\u0163\u0005k\u0000\u0000\u0163\'\u0001\u0000"+ + "\u0000\u0000\u0164\u0165\u0005k\u0000\u0000\u0165)\u0001\u0000\u0000\u0000"+ + "\u0166\u0167\u0007\u0000\u0000\u0000\u0167+\u0001\u0000\u0000\u0000\u0168"+ + "\u0169\u0005j\u0000\u0000\u0169\u016e\u0005k\u0000\u0000\u016a\u016b\u0005"+ + ">\u0000\u0000\u016b\u016d\u0005k\u0000\u0000\u016c\u016a\u0001\u0000\u0000"+ + "\u0000\u016d\u0170\u0001\u0000\u0000\u0000\u016e\u016c\u0001\u0000\u0000"+ + "\u0000\u016e\u016f\u0001\u0000\u0000\u0000\u016f-\u0001\u0000\u0000\u0000"+ + "\u0170\u016e\u0001\u0000\u0000\u0000\u0171\u0172\u0005\t\u0000\u0000\u0172"+ + "\u0173\u0003\u0010\b\u0000\u0173/\u0001\u0000\u0000\u0000\u0174\u0176"+ + "\u0005\u0010\u0000\u0000\u0175\u0177\u00032\u0019\u0000\u0176\u0175\u0001"+ + "\u0000\u0000\u0000\u0176\u0177\u0001\u0000\u0000\u0000\u0177\u017a\u0001"+ + "\u0000\u0000\u0000\u0178\u0179\u0005:\u0000\u0000\u0179\u017b\u0003\u0010"+ + "\b\u0000\u017a\u0178\u0001\u0000\u0000\u0000\u017a\u017b\u0001\u0000\u0000"+ + "\u0000\u017b1\u0001\u0000\u0000\u0000\u017c\u0181\u00034\u001a\u0000\u017d"+ + "\u017e\u0005>\u0000\u0000\u017e\u0180\u00034\u001a\u0000\u017f\u017d\u0001"+ + "\u0000\u0000\u0000\u0180\u0183\u0001\u0000\u0000\u0000\u0181\u017f\u0001"+ + "\u0000\u0000\u0000\u0181\u0182\u0001\u0000\u0000\u0000\u01823\u0001\u0000"+ + "\u0000\u0000\u0183\u0181\u0001\u0000\u0000\u0000\u0184\u0187\u0003\u0012"+ + "\t\u0000\u0185\u0186\u0005\u0011\u0000\u0000\u0186\u0188\u0003\u0094J"+ + "\u0000\u0187\u0185\u0001\u0000\u0000\u0000\u0187\u0188\u0001\u0000\u0000"+ + "\u0000\u01885\u0001\u0000\u0000\u0000\u0189\u018a\u0004\u001b\u0005\u0000"+ + "\u018a\u018c\u0005a\u0000\u0000\u018b\u018d\u0005e\u0000\u0000\u018c\u018b"+ + "\u0001\u0000\u0000\u0000\u018c\u018d\u0001\u0000\u0000\u0000\u018d\u018e"+ + "\u0001\u0000\u0000\u0000\u018e\u018f\u0005b\u0000\u0000\u018f\u0190\u0005"+ + "@\u0000\u0000\u0190\u0191\u0005a\u0000\u0000\u0191\u0192\u00038\u001c"+ + "\u0000\u0192\u0193\u0005b\u0000\u0000\u0193\u0196\u0001\u0000\u0000\u0000"+ + "\u0194\u0196\u00038\u001c\u0000\u0195\u0189\u0001\u0000\u0000\u0000\u0195"+ + "\u0194\u0001\u0000\u0000\u0000\u01967\u0001\u0000\u0000\u0000\u0197\u019c"+ + "\u0003H$\u0000\u0198\u0199\u0005@\u0000\u0000\u0199\u019b\u0003H$\u0000"+ + "\u019a\u0198\u0001\u0000\u0000\u0000\u019b\u019e\u0001\u0000\u0000\u0000"+ + "\u019c\u019a\u0001\u0000\u0000\u0000\u019c\u019d\u0001\u0000\u0000\u0000"+ + "\u019d9\u0001\u0000\u0000\u0000\u019e\u019c\u0001\u0000\u0000\u0000\u019f"+ + "\u01a0\u0004\u001d\u0006\u0000\u01a0\u01a2\u0005a\u0000\u0000\u01a1\u01a3"+ + "\u0005\u008a\u0000\u0000\u01a2\u01a1\u0001\u0000\u0000\u0000\u01a2\u01a3"+ + "\u0001\u0000\u0000\u0000\u01a3\u01a4\u0001\u0000\u0000\u0000\u01a4\u01a5"+ + "\u0005b\u0000\u0000\u01a5\u01a6\u0005@\u0000\u0000\u01a6\u01a7\u0005a"+ + "\u0000\u0000\u01a7\u01a8\u0003<\u001e\u0000\u01a8\u01a9\u0005b\u0000\u0000"+ + "\u01a9\u01ac\u0001\u0000\u0000\u0000\u01aa\u01ac\u0003<\u001e\u0000\u01ab"+ + "\u019f\u0001\u0000\u0000\u0000\u01ab\u01aa\u0001\u0000\u0000\u0000\u01ac"+ + ";\u0001\u0000\u0000\u0000\u01ad\u01b2\u0003B!\u0000\u01ae\u01af\u0005"+ + "@\u0000\u0000\u01af\u01b1\u0003B!\u0000\u01b0\u01ae\u0001\u0000\u0000"+ + "\u0000\u01b1\u01b4\u0001\u0000\u0000\u0000\u01b2\u01b0\u0001\u0000\u0000"+ + "\u0000\u01b2\u01b3\u0001\u0000\u0000\u0000\u01b3=\u0001\u0000\u0000\u0000"+ + "\u01b4\u01b2\u0001\u0000\u0000\u0000\u01b5\u01ba\u0003:\u001d\u0000\u01b6"+ + "\u01b7\u0005>\u0000\u0000\u01b7\u01b9\u0003:\u001d\u0000\u01b8\u01b6\u0001"+ + "\u0000\u0000\u0000\u01b9\u01bc\u0001\u0000\u0000\u0000\u01ba\u01b8\u0001"+ + "\u0000\u0000\u0000\u01ba\u01bb\u0001\u0000\u0000\u0000\u01bb?\u0001\u0000"+ + "\u0000\u0000\u01bc\u01ba\u0001\u0000\u0000\u0000\u01bd\u01be\u0007\u0001"+ + "\u0000\u0000\u01beA\u0001\u0000\u0000\u0000\u01bf\u01c3\u0005\u008a\u0000"+ + "\u0000\u01c0\u01c3\u0003D\"\u0000\u01c1\u01c3\u0003F#\u0000\u01c2\u01bf"+ + "\u0001\u0000\u0000\u0000\u01c2\u01c0\u0001\u0000\u0000\u0000\u01c2\u01c1"+ + "\u0001\u0000\u0000\u0000\u01c3C\u0001\u0000\u0000\u0000\u01c4\u01c7\u0005"+ + "L\u0000\u0000\u01c5\u01c7\u0005_\u0000\u0000\u01c6\u01c4\u0001\u0000\u0000"+ + "\u0000\u01c6\u01c5\u0001\u0000\u0000\u0000\u01c7E\u0001\u0000\u0000\u0000"+ + "\u01c8\u01cb\u0005^\u0000\u0000\u01c9\u01cb\u0005`\u0000\u0000\u01ca\u01c8"+ + "\u0001\u0000\u0000\u0000\u01ca\u01c9\u0001\u0000\u0000\u0000\u01cbG\u0001"+ + "\u0000\u0000\u0000\u01cc\u01d0\u0003@ \u0000\u01cd\u01d0\u0003D\"\u0000"+ + "\u01ce\u01d0\u0003F#\u0000\u01cf\u01cc\u0001\u0000\u0000\u0000\u01cf\u01cd"+ + "\u0001\u0000\u0000\u0000\u01cf\u01ce\u0001\u0000\u0000\u0000\u01d0I\u0001"+ + "\u0000\u0000\u0000\u01d1\u01d4\u0003\u00b4Z\u0000\u01d2\u01d4\u0003D\""+ + "\u0000\u01d3\u01d1\u0001\u0000\u0000\u0000\u01d3\u01d2\u0001\u0000\u0000"+ + "\u0000\u01d4K\u0001\u0000\u0000\u0000\u01d5\u01d6\u0005\u000b\u0000\u0000"+ + "\u01d6\u01d7\u0003\u00aaU\u0000\u01d7M\u0001\u0000\u0000\u0000\u01d8\u01d9"+ + "\u0005\u000f\u0000\u0000\u01d9\u01de\u0003P(\u0000\u01da\u01db\u0005>"+ + "\u0000\u0000\u01db\u01dd\u0003P(\u0000\u01dc\u01da\u0001\u0000\u0000\u0000"+ + "\u01dd\u01e0\u0001\u0000\u0000\u0000\u01de\u01dc\u0001\u0000\u0000\u0000"+ + "\u01de\u01df\u0001\u0000\u0000\u0000\u01dfO\u0001\u0000\u0000\u0000\u01e0"+ + "\u01de\u0001\u0000\u0000\u0000\u01e1\u01e3\u0003\u0094J\u0000\u01e2\u01e4"+ + "\u0007\u0002\u0000\u0000\u01e3\u01e2\u0001\u0000\u0000\u0000\u01e3\u01e4"+ + "\u0001\u0000\u0000\u0000\u01e4\u01e7\u0001\u0000\u0000\u0000\u01e5\u01e6"+ + "\u0005I\u0000\u0000\u01e6\u01e8\u0007\u0003\u0000\u0000\u01e7\u01e5\u0001"+ + "\u0000\u0000\u0000\u01e7\u01e8\u0001\u0000\u0000\u0000\u01e8Q\u0001\u0000"+ + "\u0000\u0000\u01e9\u01ea\u0005\u001f\u0000\u0000\u01ea\u01eb\u0003>\u001f"+ + "\u0000\u01ebS\u0001\u0000\u0000\u0000\u01ec\u01ed\u0005\u001e\u0000\u0000"+ + "\u01ed\u01ee\u0003>\u001f\u0000\u01eeU\u0001\u0000\u0000\u0000\u01ef\u01f0"+ + "\u0005\"\u0000\u0000\u01f0\u01f5\u0003X,\u0000\u01f1\u01f2\u0005>\u0000"+ + "\u0000\u01f2\u01f4\u0003X,\u0000\u01f3\u01f1\u0001\u0000\u0000\u0000\u01f4"+ + "\u01f7\u0001\u0000\u0000\u0000\u01f5\u01f3\u0001\u0000\u0000\u0000\u01f5"+ + "\u01f6\u0001\u0000\u0000\u0000\u01f6W\u0001\u0000\u0000\u0000\u01f7\u01f5"+ + "\u0001\u0000\u0000\u0000\u01f8\u01f9\u0003:\u001d\u0000\u01f9\u01fa\u0005"+ + "\u0094\u0000\u0000\u01fa\u01fb\u0003:\u001d\u0000\u01fb\u0201\u0001\u0000"+ + "\u0000\u0000\u01fc\u01fd\u0003:\u001d\u0000\u01fd\u01fe\u00059\u0000\u0000"+ + "\u01fe\u01ff\u0003:\u001d\u0000\u01ff\u0201\u0001\u0000\u0000\u0000\u0200"+ + "\u01f8\u0001\u0000\u0000\u0000\u0200\u01fc\u0001\u0000\u0000\u0000\u0201"+ + "Y\u0001\u0000\u0000\u0000\u0202\u0203\u0005\b\u0000\u0000\u0203\u0204"+ + "\u0003\u009eO\u0000\u0204\u0206\u0003\u00b4Z\u0000\u0205\u0207\u0003\\"+ + ".\u0000\u0206\u0205\u0001\u0000\u0000\u0000\u0206\u0207\u0001\u0000\u0000"+ + "\u0000\u0207[\u0001\u0000\u0000\u0000\u0208\u020d\u0003^/\u0000\u0209"+ + "\u020a\u0005>\u0000\u0000\u020a\u020c\u0003^/\u0000\u020b\u0209\u0001"+ + "\u0000\u0000\u0000\u020c\u020f\u0001\u0000\u0000\u0000\u020d\u020b\u0001"+ + "\u0000\u0000\u0000\u020d\u020e\u0001\u0000\u0000\u0000\u020e]\u0001\u0000"+ + "\u0000\u0000\u020f\u020d\u0001\u0000\u0000\u0000\u0210\u0211\u0003@ \u0000"+ + "\u0211\u0212\u00059\u0000\u0000\u0212\u0213\u0003\u00aaU\u0000\u0213_"+ + "\u0001\u0000\u0000\u0000\u0214\u0215\u0005O\u0000\u0000\u0215\u0217\u0003"+ + "\u00a4R\u0000\u0216\u0214\u0001\u0000\u0000\u0000\u0216\u0217\u0001\u0000"+ + "\u0000\u0000\u0217a\u0001\u0000\u0000\u0000\u0218\u0219\u0005\n\u0000"+ + "\u0000\u0219\u021a\u0003\u009eO\u0000\u021a\u021f\u0003\u00b4Z\u0000\u021b"+ + "\u021c\u0005>\u0000\u0000\u021c\u021e\u0003\u00b4Z\u0000\u021d\u021b\u0001"+ + "\u0000\u0000\u0000\u021e\u0221\u0001\u0000\u0000\u0000\u021f\u021d\u0001"+ + "\u0000\u0000\u0000\u021f\u0220\u0001\u0000\u0000\u0000\u0220c\u0001\u0000"+ + "\u0000\u0000\u0221\u021f\u0001\u0000\u0000\u0000\u0222\u0223\u0005\u001d"+ + "\u0000\u0000\u0223\u0224\u00036\u001b\u0000\u0224e\u0001\u0000\u0000\u0000"+ + "\u0225\u0226\u0005\u0006\u0000\u0000\u0226\u0227\u0003h4\u0000\u0227g"+ + "\u0001\u0000\u0000\u0000\u0228\u0229\u0005c\u0000\u0000\u0229\u022a\u0003"+ + "\u0004\u0002\u0000\u022a\u022b\u0005d\u0000\u0000\u022bi\u0001\u0000\u0000"+ + "\u0000\u022c\u022d\u0005$\u0000\u0000\u022d\u022e\u0005\u009b\u0000\u0000"+ + "\u022ek\u0001\u0000\u0000\u0000\u022f\u0230\u0005\u0005\u0000\u0000\u0230"+ + "\u0233\u0003n7\u0000\u0231\u0232\u0005J\u0000\u0000\u0232\u0234\u0003"+ + ":\u001d\u0000\u0233\u0231\u0001\u0000\u0000\u0000\u0233\u0234\u0001\u0000"+ + "\u0000\u0000\u0234\u023e\u0001\u0000\u0000\u0000\u0235\u0236\u0005O\u0000"+ + "\u0000\u0236\u023b\u0003p8\u0000\u0237\u0238\u0005>\u0000\u0000\u0238"+ + "\u023a\u0003p8\u0000\u0239\u0237\u0001\u0000\u0000\u0000\u023a\u023d\u0001"+ + "\u0000\u0000\u0000\u023b\u0239\u0001\u0000\u0000\u0000\u023b\u023c\u0001"+ + "\u0000\u0000\u0000\u023c\u023f\u0001\u0000\u0000\u0000\u023d\u023b\u0001"+ + "\u0000\u0000\u0000\u023e\u0235\u0001\u0000\u0000\u0000\u023e\u023f\u0001"+ + "\u0000\u0000\u0000\u023fm\u0001\u0000\u0000\u0000\u0240\u0241\u0007\u0004"+ + "\u0000\u0000\u0241o\u0001\u0000\u0000\u0000\u0242\u0243\u0003:\u001d\u0000"+ + "\u0243\u0244\u00059\u0000\u0000\u0244\u0246\u0001\u0000\u0000\u0000\u0245"+ + "\u0242\u0001\u0000\u0000\u0000\u0245\u0246\u0001\u0000\u0000\u0000\u0246"+ + "\u0247\u0001\u0000\u0000\u0000\u0247\u0248\u0003:\u001d\u0000\u0248q\u0001"+ + "\u0000\u0000\u0000\u0249\u024a\u0005\u000e\u0000\u0000\u024a\u024b\u0003"+ + "\u00aaU\u0000\u024bs\u0001\u0000\u0000\u0000\u024c\u024d\u0005\u0004\u0000"+ + "\u0000\u024d\u0250\u00036\u001b\u0000\u024e\u024f\u0005J\u0000\u0000\u024f"+ + "\u0251\u00036\u001b\u0000\u0250\u024e\u0001\u0000\u0000\u0000\u0250\u0251"+ + "\u0001\u0000\u0000\u0000\u0251\u0257\u0001\u0000\u0000\u0000\u0252\u0253"+ + "\u0005\u0094\u0000\u0000\u0253\u0254\u00036\u001b\u0000\u0254\u0255\u0005"+ + ">\u0000\u0000\u0255\u0256\u00036\u001b\u0000\u0256\u0258\u0001\u0000\u0000"+ + "\u0000\u0257\u0252\u0001\u0000\u0000\u0000\u0257\u0258\u0001\u0000\u0000"+ + "\u0000\u0258u\u0001\u0000\u0000\u0000\u0259\u025a\u0005\u0014\u0000\u0000"+ + "\u025a\u025b\u0003x<\u0000\u025bw\u0001\u0000\u0000\u0000\u025c\u025e"+ + "\u0003z=\u0000\u025d\u025c\u0001\u0000\u0000\u0000\u025e\u025f\u0001\u0000"+ + "\u0000\u0000\u025f\u025d\u0001\u0000\u0000\u0000\u025f\u0260\u0001\u0000"+ + "\u0000\u0000\u0260y\u0001\u0000\u0000\u0000\u0261\u0262\u0005c\u0000\u0000"+ + "\u0262\u0263\u0003|>\u0000\u0263\u0264\u0005d\u0000\u0000\u0264{\u0001"+ + "\u0000\u0000\u0000\u0265\u0266\u0006>\uffff\uffff\u0000\u0266\u0267\u0003"+ + "~?\u0000\u0267\u026d\u0001\u0000\u0000\u0000\u0268\u0269\n\u0001\u0000"+ + "\u0000\u0269\u026a\u00053\u0000\u0000\u026a\u026c\u0003~?\u0000\u026b"+ + "\u0268\u0001\u0000\u0000\u0000\u026c\u026f\u0001\u0000\u0000\u0000\u026d"+ + "\u026b\u0001\u0000\u0000\u0000\u026d\u026e\u0001\u0000\u0000\u0000\u026e"+ + "}\u0001\u0000\u0000\u0000\u026f\u026d\u0001\u0000\u0000\u0000\u0270\u0271"+ + "\u0003\b\u0004\u0000\u0271\u007f\u0001\u0000\u0000\u0000\u0272\u0276\u0005"+ + "\f\u0000\u0000\u0273\u0274\u00036\u001b\u0000\u0274\u0275\u00059\u0000"+ + "\u0000\u0275\u0277\u0001\u0000\u0000\u0000\u0276\u0273\u0001\u0000\u0000"+ + "\u0000\u0276\u0277\u0001\u0000\u0000\u0000\u0277\u0278\u0001\u0000\u0000"+ + "\u0000\u0278\u0279\u0003\u00aaU\u0000\u0279\u027a\u0005J\u0000\u0000\u027a"+ + "\u027b\u0003\u0014\n\u0000\u027b\u027c\u0003`0\u0000\u027c\u0081\u0001"+ + "\u0000\u0000\u0000\u027d\u0281\u0005\u0007\u0000\u0000\u027e\u027f\u0003"+ + "6\u001b\u0000\u027f\u0280\u00059\u0000\u0000\u0280\u0282\u0001\u0000\u0000"+ + "\u0000\u0281\u027e\u0001\u0000\u0000\u0000\u0281\u0282\u0001\u0000\u0000"+ + "\u0000\u0282\u0283\u0001\u0000\u0000\u0000\u0283\u0284\u0003\u009eO\u0000"+ + "\u0284\u0285\u0003`0\u0000\u0285\u0083\u0001\u0000\u0000\u0000\u0286\u0287"+ + "\u0005\u0016\u0000\u0000\u0287\u0288\u0005x\u0000\u0000\u0288\u028b\u0003"+ + "2\u0019\u0000\u0289\u028a\u0005:\u0000\u0000\u028a\u028c\u0003\u0010\b"+ + "\u0000\u028b\u0289\u0001\u0000\u0000\u0000\u028b\u028c\u0001\u0000\u0000"+ + "\u0000\u028c\u0294\u0001\u0000\u0000\u0000\u028d\u028e\u0005\u0017\u0000"+ + "\u0000\u028e\u0291\u00032\u0019\u0000\u028f\u0290\u0005:\u0000\u0000\u0290"+ + "\u0292\u0003\u0010\b\u0000\u0291\u028f\u0001\u0000\u0000\u0000\u0291\u0292"+ + "\u0001\u0000\u0000\u0000\u0292\u0294\u0001\u0000\u0000\u0000\u0293\u0286"+ + "\u0001\u0000\u0000\u0000\u0293\u028d\u0001\u0000\u0000\u0000\u0294\u0085"+ + "\u0001\u0000\u0000\u0000\u0295\u0297\u0005\u0015\u0000\u0000\u0296\u0298"+ + "\u0003@ \u0000\u0297\u0296\u0001\u0000\u0000\u0000\u0297\u0298\u0001\u0000"+ + "\u0000\u0000\u0298\u029c\u0001\u0000\u0000\u0000\u0299\u029b\u0003\u0088"+ + "D\u0000\u029a\u0299\u0001\u0000\u0000\u0000\u029b\u029e\u0001\u0000\u0000"+ + "\u0000\u029c\u029a\u0001\u0000\u0000\u0000\u029c\u029d\u0001\u0000\u0000"+ + "\u0000\u029d\u0087\u0001\u0000\u0000\u0000\u029e\u029c\u0001\u0000\u0000"+ + "\u0000\u029f\u02a0\u0005s\u0000\u0000\u02a0\u02a1\u0005:\u0000\u0000\u02a1"+ + "\u02ab\u00036\u001b\u0000\u02a2\u02a3\u0005t\u0000\u0000\u02a3\u02a4\u0005"+ + ":\u0000\u0000\u02a4\u02ab\u0003\u008aE\u0000\u02a5\u02a6\u0005r\u0000"+ + "\u0000\u02a6\u02a7\u0005:\u0000\u0000\u02a7\u02ab\u00036\u001b\u0000\u02a8"+ + "\u02a9\u0005O\u0000\u0000\u02a9\u02ab\u0003\u00a4R\u0000\u02aa\u029f\u0001"+ + "\u0000\u0000\u0000\u02aa\u02a2\u0001\u0000\u0000\u0000\u02aa\u02a5\u0001"+ + "\u0000\u0000\u0000\u02aa\u02a8\u0001\u0000\u0000\u0000\u02ab\u0089\u0001"+ + "\u0000\u0000\u0000\u02ac\u02b1\u00036\u001b\u0000\u02ad\u02ae\u0005>\u0000"+ + "\u0000\u02ae\u02b0\u00036\u001b\u0000\u02af\u02ad\u0001\u0000\u0000\u0000"+ + "\u02b0\u02b3\u0001\u0000\u0000\u0000\u02b1\u02af\u0001\u0000\u0000\u0000"+ + "\u02b1\u02b2\u0001\u0000\u0000\u0000\u02b2\u008b\u0001\u0000\u0000\u0000"+ + "\u02b3\u02b1\u0001\u0000\u0000\u0000\u02b4\u02b5\u0005\u001c\u0000\u0000"+ + "\u02b5\u02b6\u0003\"\u0011\u0000\u02b6\u02b7\u0005J\u0000\u0000\u02b7"+ + "\u02b8\u0003>\u001f\u0000\u02b8\u008d\u0001\u0000\u0000\u0000\u02b9\u02ba"+ + "\u0005 \u0000\u0000\u02ba\u02bb\u0003>\u001f\u0000\u02bb\u008f\u0001\u0000"+ + "\u0000\u0000\u02bc\u02bd\u0005#\u0000\u0000\u02bd\u02be\u0003\u0092I\u0000"+ + "\u02be\u02bf\u0005=\u0000\u0000\u02bf\u0091\u0001\u0000\u0000\u0000\u02c0"+ + "\u02c1\u0003@ \u0000\u02c1\u02c4\u00059\u0000\u0000\u02c2\u02c5\u0003"+ + "\u00aaU\u0000\u02c3\u02c5\u0003\u00a4R\u0000\u02c4\u02c2\u0001\u0000\u0000"+ + "\u0000\u02c4\u02c3\u0001\u0000\u0000\u0000\u02c5\u0093\u0001\u0000\u0000"+ + "\u0000\u02c6\u02c7\u0006J\uffff\uffff\u0000\u02c7\u02c8\u0005G\u0000\u0000"+ + "\u02c8\u02e4\u0003\u0094J\b\u02c9\u02e4\u0003\u009aM\u0000\u02ca\u02e4"+ + "\u0003\u0096K\u0000\u02cb\u02cd\u0003\u009aM\u0000\u02cc\u02ce\u0005G"+ + "\u0000\u0000\u02cd\u02cc\u0001\u0000\u0000\u0000\u02cd\u02ce\u0001\u0000"+ + "\u0000\u0000\u02ce\u02cf\u0001\u0000\u0000\u0000\u02cf\u02d0\u0005C\u0000"+ + "\u0000\u02d0\u02d1\u0005c\u0000\u0000\u02d1\u02d6\u0003\u009aM\u0000\u02d2"+ + "\u02d3\u0005>\u0000\u0000\u02d3\u02d5\u0003\u009aM\u0000\u02d4\u02d2\u0001"+ + "\u0000\u0000\u0000\u02d5\u02d8\u0001\u0000\u0000\u0000\u02d6\u02d4\u0001"+ + "\u0000\u0000\u0000\u02d6\u02d7\u0001\u0000\u0000\u0000\u02d7\u02d9\u0001"+ + "\u0000\u0000\u0000\u02d8\u02d6\u0001\u0000\u0000\u0000\u02d9\u02da\u0005"+ + "d\u0000\u0000\u02da\u02e4\u0001\u0000\u0000\u0000\u02db\u02dc\u0003\u009a"+ + "M\u0000\u02dc\u02de\u0005D\u0000\u0000\u02dd\u02df\u0005G\u0000\u0000"+ + "\u02de\u02dd\u0001\u0000\u0000\u0000\u02de\u02df\u0001\u0000\u0000\u0000"+ + "\u02df\u02e0\u0001\u0000\u0000\u0000\u02e0\u02e1\u0005H\u0000\u0000\u02e1"+ + "\u02e4\u0001\u0000\u0000\u0000\u02e2\u02e4\u0003\u0098L\u0000\u02e3\u02c6"+ + "\u0001\u0000\u0000\u0000\u02e3\u02c9\u0001\u0000\u0000\u0000\u02e3\u02ca"+ + "\u0001\u0000\u0000\u0000\u02e3\u02cb\u0001\u0000\u0000\u0000\u02e3\u02db"+ + "\u0001\u0000\u0000\u0000\u02e3\u02e2\u0001\u0000\u0000\u0000\u02e4\u02ed"+ + "\u0001\u0000\u0000\u0000\u02e5\u02e6\n\u0005\u0000\u0000\u02e6\u02e7\u0005"+ + "7\u0000\u0000\u02e7\u02ec\u0003\u0094J\u0006\u02e8\u02e9\n\u0004\u0000"+ + "\u0000\u02e9\u02ea\u0005K\u0000\u0000\u02ea\u02ec\u0003\u0094J\u0005\u02eb"+ + "\u02e5\u0001\u0000\u0000\u0000\u02eb\u02e8\u0001\u0000\u0000\u0000\u02ec"+ + "\u02ef\u0001\u0000\u0000\u0000\u02ed\u02eb\u0001\u0000\u0000\u0000\u02ed"+ + "\u02ee\u0001\u0000\u0000\u0000\u02ee\u0095\u0001\u0000\u0000\u0000\u02ef"+ + "\u02ed\u0001\u0000\u0000\u0000\u02f0\u02f2\u0003\u009aM\u0000\u02f1\u02f3"+ + "\u0005G\u0000\u0000\u02f2\u02f1\u0001\u0000\u0000\u0000\u02f2\u02f3\u0001"+ + "\u0000\u0000\u0000\u02f3\u02f4\u0001\u0000\u0000\u0000\u02f4\u02f5\u0005"+ + "F\u0000\u0000\u02f5\u02f6\u0003J%\u0000\u02f6\u031f\u0001\u0000\u0000"+ + "\u0000\u02f7\u02f9\u0003\u009aM\u0000\u02f8\u02fa\u0005G\u0000\u0000\u02f9"+ + "\u02f8\u0001\u0000\u0000\u0000\u02f9\u02fa\u0001\u0000\u0000\u0000\u02fa"+ + "\u02fb\u0001\u0000\u0000\u0000\u02fb\u02fc\u0005M\u0000\u0000\u02fc\u02fd"+ + "\u0003J%\u0000\u02fd\u031f\u0001\u0000\u0000\u0000\u02fe\u0300\u0003\u009a"+ + "M\u0000\u02ff\u0301\u0005G\u0000\u0000\u0300\u02ff\u0001\u0000\u0000\u0000"+ + "\u0300\u0301\u0001\u0000\u0000\u0000\u0301\u0302\u0001\u0000\u0000\u0000"+ + "\u0302\u0303\u0005F\u0000\u0000\u0303\u0304\u0005c\u0000\u0000\u0304\u0309"+ + "\u0003J%\u0000\u0305\u0306\u0005>\u0000\u0000\u0306\u0308\u0003J%\u0000"+ + "\u0307\u0305\u0001\u0000\u0000\u0000\u0308\u030b\u0001\u0000\u0000\u0000"+ + "\u0309\u0307\u0001\u0000\u0000\u0000\u0309\u030a\u0001\u0000\u0000\u0000"+ + "\u030a\u030c\u0001\u0000\u0000\u0000\u030b\u0309\u0001\u0000\u0000\u0000"+ + "\u030c\u030d\u0005d\u0000\u0000\u030d\u031f\u0001\u0000\u0000\u0000\u030e"+ + "\u0310\u0003\u009aM\u0000\u030f\u0311\u0005G\u0000\u0000\u0310\u030f\u0001"+ + "\u0000\u0000\u0000\u0310\u0311\u0001\u0000\u0000\u0000\u0311\u0312\u0001"+ + "\u0000\u0000\u0000\u0312\u0313\u0005M\u0000\u0000\u0313\u0314\u0005c\u0000"+ + "\u0000\u0314\u0319\u0003J%\u0000\u0315\u0316\u0005>\u0000\u0000\u0316"+ + "\u0318\u0003J%\u0000\u0317\u0315\u0001\u0000\u0000\u0000\u0318\u031b\u0001"+ + "\u0000\u0000\u0000\u0319\u0317\u0001\u0000\u0000\u0000\u0319\u031a\u0001"+ + "\u0000\u0000\u0000\u031a\u031c\u0001\u0000\u0000\u0000\u031b\u0319\u0001"+ + "\u0000\u0000\u0000\u031c\u031d\u0005d\u0000\u0000\u031d\u031f\u0001\u0000"+ + "\u0000\u0000\u031e\u02f0\u0001\u0000\u0000\u0000\u031e\u02f7\u0001\u0000"+ + "\u0000\u0000\u031e\u02fe\u0001\u0000\u0000\u0000\u031e\u030e\u0001\u0000"+ + "\u0000\u0000\u031f\u0097\u0001\u0000\u0000\u0000\u0320\u0323\u00036\u001b"+ + "\u0000\u0321\u0322\u0005;\u0000\u0000\u0322\u0324\u0003\f\u0006\u0000"+ + "\u0323\u0321\u0001\u0000\u0000\u0000\u0323\u0324\u0001\u0000\u0000\u0000"+ + "\u0324\u0325\u0001\u0000\u0000\u0000\u0325\u0326\u0005<\u0000\u0000\u0326"+ + "\u0327\u0003\u00aaU\u0000\u0327\u0099\u0001\u0000\u0000\u0000\u0328\u032e"+ + "\u0003\u009cN\u0000\u0329\u032a\u0003\u009cN\u0000\u032a\u032b\u0003\u00b6"+ + "[\u0000\u032b\u032c\u0003\u009cN\u0000\u032c\u032e\u0001\u0000\u0000\u0000"+ + "\u032d\u0328\u0001\u0000\u0000\u0000\u032d\u0329\u0001\u0000\u0000\u0000"+ + "\u032e\u009b\u0001\u0000\u0000\u0000\u032f\u0330\u0006N\uffff\uffff\u0000"+ + "\u0330\u0334\u0003\u009eO\u0000\u0331\u0332\u0007\u0005\u0000\u0000\u0332"+ + "\u0334\u0003\u009cN\u0003\u0333\u032f\u0001\u0000\u0000\u0000\u0333\u0331"+ + "\u0001\u0000\u0000\u0000\u0334\u033d\u0001\u0000\u0000\u0000\u0335\u0336"+ + "\n\u0002\u0000\u0000\u0336\u0337\u0007\u0006\u0000\u0000\u0337\u033c\u0003"+ + "\u009cN\u0003\u0338\u0339\n\u0001\u0000\u0000\u0339\u033a\u0007\u0005"+ + "\u0000\u0000\u033a\u033c\u0003\u009cN\u0002\u033b\u0335\u0001\u0000\u0000"+ + "\u0000\u033b\u0338\u0001\u0000\u0000\u0000\u033c\u033f\u0001\u0000\u0000"+ + "\u0000\u033d\u033b\u0001\u0000\u0000\u0000\u033d\u033e\u0001\u0000\u0000"+ + "\u0000\u033e\u009d\u0001\u0000\u0000\u0000\u033f\u033d\u0001\u0000\u0000"+ + "\u0000\u0340\u0341\u0006O\uffff\uffff\u0000\u0341\u0349\u0003\u00aaU\u0000"+ + "\u0342\u0349\u00036\u001b\u0000\u0343\u0349\u0003\u00a0P\u0000\u0344\u0345"+ + "\u0005c\u0000\u0000\u0345\u0346\u0003\u0094J\u0000\u0346\u0347\u0005d"+ + "\u0000\u0000\u0347\u0349\u0001\u0000\u0000\u0000\u0348\u0340\u0001\u0000"+ + "\u0000\u0000\u0348\u0342\u0001\u0000\u0000\u0000\u0348\u0343\u0001\u0000"+ + "\u0000\u0000\u0348\u0344\u0001\u0000\u0000\u0000\u0349\u034f\u0001\u0000"+ + "\u0000\u0000\u034a\u034b\n\u0001\u0000\u0000\u034b\u034c\u0005;\u0000"+ + "\u0000\u034c\u034e\u0003\f\u0006\u0000\u034d\u034a\u0001\u0000\u0000\u0000"+ + "\u034e\u0351\u0001\u0000\u0000\u0000\u034f\u034d\u0001\u0000\u0000\u0000"+ + "\u034f\u0350\u0001\u0000\u0000\u0000\u0350\u009f\u0001\u0000\u0000\u0000"+ + "\u0351\u034f\u0001\u0000\u0000\u0000\u0352\u0353\u0003\u00a2Q\u0000\u0353"+ + "\u0361\u0005c\u0000\u0000\u0354\u0362\u0005Y\u0000\u0000\u0355\u035a\u0003"+ + "\u0094J\u0000\u0356\u0357\u0005>\u0000\u0000\u0357\u0359\u0003\u0094J"+ + "\u0000\u0358\u0356\u0001\u0000\u0000\u0000\u0359\u035c\u0001\u0000\u0000"+ + "\u0000\u035a\u0358\u0001\u0000\u0000\u0000\u035a\u035b\u0001\u0000\u0000"+ + "\u0000\u035b\u035f\u0001\u0000\u0000\u0000\u035c\u035a\u0001\u0000\u0000"+ + "\u0000\u035d\u035e\u0005>\u0000\u0000\u035e\u0360\u0003\u00a4R\u0000\u035f"+ + "\u035d\u0001\u0000\u0000\u0000\u035f\u0360\u0001\u0000\u0000\u0000\u0360"+ + "\u0362\u0001\u0000\u0000\u0000\u0361\u0354\u0001\u0000\u0000\u0000\u0361"+ + "\u0355\u0001\u0000\u0000\u0000\u0361\u0362\u0001\u0000\u0000\u0000\u0362"+ + "\u0363\u0001\u0000\u0000\u0000\u0363\u0364\u0005d\u0000\u0000\u0364\u00a1"+ + "\u0001\u0000\u0000\u0000\u0365\u0369\u0003H$\u0000\u0366\u0369\u0005B"+ + "\u0000\u0000\u0367\u0369\u0005E\u0000\u0000\u0368\u0365\u0001\u0000\u0000"+ + "\u0000\u0368\u0366\u0001\u0000\u0000\u0000\u0368\u0367\u0001\u0000\u0000"+ + "\u0000\u0369\u00a3\u0001\u0000\u0000\u0000\u036a\u0373\u0005\\\u0000\u0000"+ + "\u036b\u0370\u0003\u00a6S\u0000\u036c\u036d\u0005>\u0000\u0000\u036d\u036f"+ + "\u0003\u00a6S\u0000\u036e\u036c\u0001\u0000\u0000\u0000\u036f\u0372\u0001"+ + "\u0000\u0000\u0000\u0370\u036e\u0001\u0000\u0000\u0000\u0370\u0371\u0001"+ + "\u0000\u0000\u0000\u0371\u0374\u0001\u0000\u0000\u0000\u0372\u0370\u0001"+ + "\u0000\u0000\u0000\u0373\u036b\u0001\u0000\u0000\u0000\u0373\u0374\u0001"+ + "\u0000\u0000\u0000\u0374\u0375\u0001\u0000\u0000\u0000\u0375\u0376\u0005"+ + "]\u0000\u0000\u0376\u00a5\u0001\u0000\u0000\u0000\u0377\u0378\u0003\u00b4"+ + "Z\u0000\u0378\u0379\u0005<\u0000\u0000\u0379\u037a\u0003\u00a8T\u0000"+ + "\u037a\u00a7\u0001\u0000\u0000\u0000\u037b\u037e\u0003\u00aaU\u0000\u037c"+ + "\u037e\u0003\u00a4R\u0000\u037d\u037b\u0001\u0000\u0000\u0000\u037d\u037c"+ + "\u0001\u0000\u0000\u0000\u037e\u00a9\u0001\u0000\u0000\u0000\u037f\u03aa"+ + "\u0005H\u0000\u0000\u0380\u0381\u0003\u00b2Y\u0000\u0381\u0382\u0005e"+ + "\u0000\u0000\u0382\u03aa\u0001\u0000\u0000\u0000\u0383\u03aa\u0003\u00b0"+ + "X\u0000\u0384\u03aa\u0003\u00b2Y\u0000\u0385\u03aa\u0003\u00acV\u0000"+ + "\u0386\u03aa\u0003D\"\u0000\u0387\u03aa\u0003\u00b4Z\u0000\u0388\u0389"+ + "\u0005a\u0000\u0000\u0389\u038e\u0003\u00aeW\u0000\u038a\u038b\u0005>"+ + "\u0000\u0000\u038b\u038d\u0003\u00aeW\u0000\u038c\u038a\u0001\u0000\u0000"+ + "\u0000\u038d\u0390\u0001\u0000\u0000\u0000\u038e\u038c\u0001\u0000\u0000"+ + "\u0000\u038e\u038f\u0001\u0000\u0000\u0000\u038f\u0391\u0001\u0000\u0000"+ + "\u0000\u0390\u038e\u0001\u0000\u0000\u0000\u0391\u0392\u0005b\u0000\u0000"+ + "\u0392\u03aa\u0001\u0000\u0000\u0000\u0393\u0394\u0005a\u0000\u0000\u0394"+ + "\u0399\u0003\u00acV\u0000\u0395\u0396\u0005>\u0000\u0000\u0396\u0398\u0003"+ + "\u00acV\u0000\u0397\u0395\u0001\u0000\u0000\u0000\u0398\u039b\u0001\u0000"+ + "\u0000\u0000\u0399\u0397\u0001\u0000\u0000\u0000\u0399\u039a\u0001\u0000"+ + "\u0000\u0000\u039a\u039c\u0001\u0000\u0000\u0000\u039b\u0399\u0001\u0000"+ + "\u0000\u0000\u039c\u039d\u0005b\u0000\u0000\u039d\u03aa\u0001\u0000\u0000"+ + "\u0000\u039e\u039f\u0005a\u0000\u0000\u039f\u03a4\u0003\u00b4Z\u0000\u03a0"+ + "\u03a1\u0005>\u0000\u0000\u03a1\u03a3\u0003\u00b4Z\u0000\u03a2\u03a0\u0001"+ + "\u0000\u0000\u0000\u03a3\u03a6\u0001\u0000\u0000\u0000\u03a4\u03a2\u0001"+ + "\u0000\u0000\u0000\u03a4\u03a5\u0001\u0000\u0000\u0000\u03a5\u03a7\u0001"+ + "\u0000\u0000\u0000\u03a6\u03a4\u0001\u0000\u0000\u0000\u03a7\u03a8\u0005"+ + "b\u0000\u0000\u03a8\u03aa\u0001\u0000\u0000\u0000\u03a9\u037f\u0001\u0000"+ + "\u0000\u0000\u03a9\u0380\u0001\u0000\u0000\u0000\u03a9\u0383\u0001\u0000"+ + "\u0000\u0000\u03a9\u0384\u0001\u0000\u0000\u0000\u03a9\u0385\u0001\u0000"+ + "\u0000\u0000\u03a9\u0386\u0001\u0000\u0000\u0000\u03a9\u0387\u0001\u0000"+ + "\u0000\u0000\u03a9\u0388\u0001\u0000\u0000\u0000\u03a9\u0393\u0001\u0000"+ + "\u0000\u0000\u03a9\u039e\u0001\u0000\u0000\u0000\u03aa\u00ab\u0001\u0000"+ + "\u0000\u0000\u03ab\u03ac\u0007\u0007\u0000\u0000\u03ac\u00ad\u0001\u0000"+ + "\u0000\u0000\u03ad\u03b0\u0003\u00b0X\u0000\u03ae\u03b0\u0003\u00b2Y\u0000"+ + "\u03af\u03ad\u0001\u0000\u0000\u0000\u03af\u03ae\u0001\u0000\u0000\u0000"+ + "\u03b0\u00af\u0001\u0000\u0000\u0000\u03b1\u03b3\u0007\u0005\u0000\u0000"+ + "\u03b2\u03b1\u0001\u0000\u0000\u0000\u03b2\u03b3\u0001\u0000\u0000\u0000"+ + "\u03b3\u03b4\u0001\u0000\u0000\u0000\u03b4\u03b5\u00056\u0000\u0000\u03b5"+ + "\u00b1\u0001\u0000\u0000\u0000\u03b6\u03b8\u0007\u0005\u0000\u0000\u03b7"+ + "\u03b6\u0001\u0000\u0000\u0000\u03b7\u03b8\u0001\u0000\u0000\u0000\u03b8"+ + "\u03b9\u0001\u0000\u0000\u0000\u03b9\u03ba\u00055\u0000\u0000\u03ba\u00b3"+ + "\u0001\u0000\u0000\u0000\u03bb\u03bc\u00054\u0000\u0000\u03bc\u00b5\u0001"+ + "\u0000\u0000\u0000\u03bd\u03be\u0007\b\u0000\u0000\u03be\u00b7\u0001\u0000"+ + "\u0000\u0000\u03bf\u03c0\u0007\t\u0000\u0000\u03c0\u03c1\u0005|\u0000"+ + "\u0000\u03c1\u03c2\u0003\u00ba]\u0000\u03c2\u03c3\u0003\u00bc^\u0000\u03c3"+ + "\u00b9\u0001\u0000\u0000\u0000\u03c4\u03c5\u0004]\r\u0000\u03c5\u03c7"+ + "\u0003\"\u0011\u0000\u03c6\u03c8\u0005\u0094\u0000\u0000\u03c7\u03c6\u0001"+ + "\u0000\u0000\u0000\u03c7\u03c8\u0001\u0000\u0000\u0000\u03c8\u03c9\u0001"+ + "\u0000\u0000\u0000\u03c9\u03ca\u0005k\u0000\u0000\u03ca\u03cd\u0001\u0000"+ + "\u0000\u0000\u03cb\u03cd\u0003\"\u0011\u0000\u03cc\u03c4\u0001\u0000\u0000"+ + "\u0000\u03cc\u03cb\u0001\u0000\u0000\u0000\u03cd\u00bb\u0001\u0000\u0000"+ + "\u0000\u03ce\u03cf\u0005J\u0000\u0000\u03cf\u03d4\u0003\u0094J\u0000\u03d0"+ + "\u03d1\u0005>\u0000\u0000\u03d1\u03d3\u0003\u0094J\u0000\u03d2\u03d0\u0001"+ + "\u0000\u0000\u0000\u03d3\u03d6\u0001\u0000\u0000\u0000\u03d4\u03d2\u0001"+ + "\u0000\u0000\u0000\u03d4\u03d5\u0001\u0000\u0000\u0000\u03d5\u00bd\u0001"+ + "\u0000\u0000\u0000\u03d6\u03d4\u0001\u0000\u0000\u0000\u03d7\u03db\u0005"+ + "!\u0000\u0000\u03d8\u03da\u0003\u00c2a\u0000\u03d9\u03d8\u0001\u0000\u0000"+ + "\u0000\u03da\u03dd\u0001\u0000\u0000\u0000\u03db\u03d9\u0001\u0000\u0000"+ + "\u0000\u03db\u03dc\u0001\u0000\u0000\u0000\u03dc\u03e1\u0001\u0000\u0000"+ + "\u0000\u03dd\u03db\u0001\u0000\u0000\u0000\u03de\u03df\u0003\u00c0`\u0000"+ + "\u03df\u03e0\u00059\u0000\u0000\u03e0\u03e2\u0001\u0000\u0000\u0000\u03e1"+ + "\u03de\u0001\u0000\u0000\u0000\u03e1\u03e2\u0001\u0000\u0000\u0000\u03e2"+ + "\u03e3\u0001\u0000\u0000\u0000\u03e3\u03e5\u0005c\u0000\u0000\u03e4\u03e6"+ + "\u0003\u00cae\u0000\u03e5\u03e4\u0001\u0000\u0000\u0000\u03e6\u03e7\u0001"+ + "\u0000\u0000\u0000\u03e7\u03e5\u0001\u0000\u0000\u0000\u03e7\u03e8\u0001"+ + "\u0000\u0000\u0000\u03e8\u03e9\u0001\u0000\u0000\u0000\u03e9\u03ea\u0005"+ + "d\u0000\u0000\u03ea\u03f8\u0001\u0000\u0000\u0000\u03eb\u03ef\u0005!\u0000"+ + "\u0000\u03ec\u03ee\u0003\u00c2a\u0000\u03ed\u03ec\u0001\u0000\u0000\u0000"+ + "\u03ee\u03f1\u0001\u0000\u0000\u0000\u03ef\u03ed\u0001\u0000\u0000\u0000"+ + "\u03ef\u03f0\u0001\u0000\u0000\u0000\u03f0\u03f3\u0001\u0000\u0000\u0000"+ + "\u03f1\u03ef\u0001\u0000\u0000\u0000\u03f2\u03f4\u0003\u00cae\u0000\u03f3"+ + "\u03f2\u0001\u0000\u0000\u0000\u03f4\u03f5\u0001\u0000\u0000\u0000\u03f5"+ "\u03f3\u0001\u0000\u0000\u0000\u03f5\u03f6\u0001\u0000\u0000\u0000\u03f6"+ - "\u03f4\u0001\u0000\u0000\u0000\u03f6\u03f7\u0001\u0000\u0000\u0000\u03f7"+ - "\u03f9\u0001\u0000\u0000\u0000\u03f8\u03d8\u0001\u0000\u0000\u0000\u03f8"+ - "\u03ec\u0001\u0000\u0000\u0000\u03f9\u00bf\u0001\u0000\u0000\u0000\u03fa"+ - "\u03fb\u0007\u0001\u0000\u0000\u03fb\u00c1\u0001\u0000\u0000\u0000\u03fc"+ - "\u03fd\u0003\u00c4b\u0000\u03fd\u03fe\u00059\u0000\u0000\u03fe\u03ff\u0003"+ - "\u00c6c\u0000\u03ff\u00c3\u0001\u0000\u0000\u0000\u0400\u0401\u0007\n"+ - "\u0000\u0000\u0401\u00c5\u0001\u0000\u0000\u0000\u0402\u0407\u0003\u00cc"+ - "f\u0000\u0403\u0404\u0005>\u0000\u0000\u0404\u0406\u0003\u00ccf\u0000"+ - "\u0405\u0403\u0001\u0000\u0000\u0000\u0406\u0409\u0001\u0000\u0000\u0000"+ - "\u0407\u0405\u0001\u0000\u0000\u0000\u0407\u0408\u0001\u0000\u0000\u0000"+ - "\u0408\u040d\u0001\u0000\u0000\u0000\u0409\u0407\u0001\u0000\u0000\u0000"+ - "\u040a\u040d\u0005f\u0000\u0000\u040b\u040d\u0005_\u0000\u0000\u040c\u0402"+ - "\u0001\u0000\u0000\u0000\u040c\u040a\u0001\u0000\u0000\u0000\u040c\u040b"+ - "\u0001\u0000\u0000\u0000\u040d\u00c7\u0001\u0000\u0000\u0000\u040e\u040f"+ - "\u0007\u000b\u0000\u0000\u040f\u00c9\u0001\u0000\u0000\u0000\u0410\u0412"+ - "\u0003\u00c8d\u0000\u0411\u0410\u0001\u0000\u0000\u0000\u0412\u0413\u0001"+ - "\u0000\u0000\u0000\u0413\u0411\u0001\u0000\u0000\u0000\u0413\u0414\u0001"+ - "\u0000\u0000\u0000\u0414\u041e\u0001\u0000\u0000\u0000\u0415\u0419\u0005"+ - "c\u0000\u0000\u0416\u0418\u0003\u00cae\u0000\u0417\u0416\u0001\u0000\u0000"+ - "\u0000\u0418\u041b\u0001\u0000\u0000\u0000\u0419\u0417\u0001\u0000\u0000"+ - "\u0000\u0419\u041a\u0001\u0000\u0000\u0000\u041a\u041c\u0001\u0000\u0000"+ - "\u0000\u041b\u0419\u0001\u0000\u0000\u0000\u041c\u041e\u0005d\u0000\u0000"+ - "\u041d\u0411\u0001\u0000\u0000\u0000\u041d\u0415\u0001\u0000\u0000\u0000"+ - "\u041e\u00cb\u0001\u0000\u0000\u0000\u041f\u0420\u0003\u00ceg\u0000\u0420"+ - "\u0421\u0005<\u0000\u0000\u0421\u0422\u0003\u00d2i\u0000\u0422\u0429\u0001"+ - "\u0000\u0000\u0000\u0423\u0424\u0003\u00d2i\u0000\u0424\u0425\u0005;\u0000"+ - "\u0000\u0425\u0426\u0003\u00d0h\u0000\u0426\u0429\u0001\u0000\u0000\u0000"+ - "\u0427\u0429\u0003\u00d4j\u0000\u0428\u041f\u0001\u0000\u0000\u0000\u0428"+ - "\u0423\u0001\u0000\u0000\u0000\u0428\u0427\u0001\u0000\u0000\u0000\u0429"+ - "\u00cd\u0001\u0000\u0000\u0000\u042a\u042b\u0007\f\u0000\u0000\u042b\u00cf"+ - "\u0001\u0000\u0000\u0000\u042c\u042d\u0007\f\u0000\u0000\u042d\u00d1\u0001"+ - "\u0000\u0000\u0000\u042e\u042f\u0007\f\u0000\u0000\u042f\u00d3\u0001\u0000"+ - "\u0000\u0000\u0430\u0431\u0007\r\u0000\u0000\u0431\u00d5\u0001\u0000\u0000"+ - "\u0000j\u00d9\u00ea\u00f5\u010f\u011e\u0124\u012d\u0133\u0140\u0144\u0149"+ - "\u0151\u015f\u016f\u0177\u017b\u0182\u0188\u018d\u0196\u019d\u01a3\u01ac"+ - "\u01b3\u01bb\u01c3\u01c7\u01cb\u01d0\u01d4\u01df\u01e4\u01e8\u01f6\u0201"+ - "\u0207\u020e\u0217\u0220\u0234\u023c\u023f\u0246\u0251\u0258\u0260\u026e"+ - "\u0277\u0282\u028c\u0292\u0294\u0298\u029d\u02ab\u02b2\u02c5\u02ce\u02d7"+ - "\u02df\u02e4\u02ec\u02ee\u02f3\u02fa\u0301\u030a\u0311\u031a\u031f\u0324"+ - "\u032e\u0334\u033c\u033e\u0349\u0350\u035b\u0360\u0362\u0369\u0371\u0374"+ - "\u037e\u038f\u039a\u03a5\u03aa\u03b0\u03b3\u03b8\u03c8\u03cd\u03d5\u03dc"+ - "\u03e2\u03e8\u03f0\u03f6\u03f8\u0407\u040c\u0413\u0419\u041d\u0428"; + "\u03f8\u0001\u0000\u0000\u0000\u03f7\u03d7\u0001\u0000\u0000\u0000\u03f7"+ + "\u03eb\u0001\u0000\u0000\u0000\u03f8\u00bf\u0001\u0000\u0000\u0000\u03f9"+ + "\u03fa\u0007\u0001\u0000\u0000\u03fa\u00c1\u0001\u0000\u0000\u0000\u03fb"+ + "\u03fc\u0003\u00c4b\u0000\u03fc\u03fd\u00059\u0000\u0000\u03fd\u03fe\u0003"+ + "\u00c6c\u0000\u03fe\u00c3\u0001\u0000\u0000\u0000\u03ff\u0400\u0007\n"+ + "\u0000\u0000\u0400\u00c5\u0001\u0000\u0000\u0000\u0401\u0406\u0003\u00cc"+ + "f\u0000\u0402\u0403\u0005>\u0000\u0000\u0403\u0405\u0003\u00ccf\u0000"+ + "\u0404\u0402\u0001\u0000\u0000\u0000\u0405\u0408\u0001\u0000\u0000\u0000"+ + "\u0406\u0404\u0001\u0000\u0000\u0000\u0406\u0407\u0001\u0000\u0000\u0000"+ + "\u0407\u040c\u0001\u0000\u0000\u0000\u0408\u0406\u0001\u0000\u0000\u0000"+ + "\u0409\u040c\u0005f\u0000\u0000\u040a\u040c\u0005_\u0000\u0000\u040b\u0401"+ + "\u0001\u0000\u0000\u0000\u040b\u0409\u0001\u0000\u0000\u0000\u040b\u040a"+ + "\u0001\u0000\u0000\u0000\u040c\u00c7\u0001\u0000\u0000\u0000\u040d\u040e"+ + "\u0007\u000b\u0000\u0000\u040e\u00c9\u0001\u0000\u0000\u0000\u040f\u0411"+ + "\u0003\u00c8d\u0000\u0410\u040f\u0001\u0000\u0000\u0000\u0411\u0412\u0001"+ + "\u0000\u0000\u0000\u0412\u0410\u0001\u0000\u0000\u0000\u0412\u0413\u0001"+ + "\u0000\u0000\u0000\u0413\u041d\u0001\u0000\u0000\u0000\u0414\u0418\u0005"+ + "c\u0000\u0000\u0415\u0417\u0003\u00cae\u0000\u0416\u0415\u0001\u0000\u0000"+ + "\u0000\u0417\u041a\u0001\u0000\u0000\u0000\u0418\u0416\u0001\u0000\u0000"+ + "\u0000\u0418\u0419\u0001\u0000\u0000\u0000\u0419\u041b\u0001\u0000\u0000"+ + "\u0000\u041a\u0418\u0001\u0000\u0000\u0000\u041b\u041d\u0005d\u0000\u0000"+ + "\u041c\u0410\u0001\u0000\u0000\u0000\u041c\u0414\u0001\u0000\u0000\u0000"+ + "\u041d\u00cb\u0001\u0000\u0000\u0000\u041e\u041f\u0003\u00ceg\u0000\u041f"+ + "\u0420\u0005<\u0000\u0000\u0420\u0421\u0003\u00d2i\u0000\u0421\u0428\u0001"+ + "\u0000\u0000\u0000\u0422\u0423\u0003\u00d2i\u0000\u0423\u0424\u0005;\u0000"+ + "\u0000\u0424\u0425\u0003\u00d0h\u0000\u0425\u0428\u0001\u0000\u0000\u0000"+ + "\u0426\u0428\u0003\u00d4j\u0000\u0427\u041e\u0001\u0000\u0000\u0000\u0427"+ + "\u0422\u0001\u0000\u0000\u0000\u0427\u0426\u0001\u0000\u0000\u0000\u0428"+ + "\u00cd\u0001\u0000\u0000\u0000\u0429\u042a\u0007\f\u0000\u0000\u042a\u00cf"+ + "\u0001\u0000\u0000\u0000\u042b\u042c\u0007\f\u0000\u0000\u042c\u00d1\u0001"+ + "\u0000\u0000\u0000\u042d\u042e\u0007\f\u0000\u0000\u042e\u00d3\u0001\u0000"+ + "\u0000\u0000\u042f\u0430\u0007\r\u0000\u0000\u0430\u00d5\u0001\u0000\u0000"+ + "\u0000j\u00d9\u00ea\u00f4\u010e\u011d\u0123\u012c\u0132\u013f\u0143\u0148"+ + "\u0150\u015e\u016e\u0176\u017a\u0181\u0187\u018c\u0195\u019c\u01a2\u01ab"+ + "\u01b2\u01ba\u01c2\u01c6\u01ca\u01cf\u01d3\u01de\u01e3\u01e7\u01f5\u0200"+ + "\u0206\u020d\u0216\u021f\u0233\u023b\u023e\u0245\u0250\u0257\u025f\u026d"+ + "\u0276\u0281\u028b\u0291\u0293\u0297\u029c\u02aa\u02b1\u02c4\u02cd\u02d6"+ + "\u02de\u02e3\u02eb\u02ed\u02f2\u02f9\u0300\u0309\u0310\u0319\u031e\u0323"+ + "\u032d\u0333\u033b\u033d\u0348\u034f\u035a\u035f\u0361\u0368\u0370\u0373"+ + "\u037d\u038e\u0399\u03a4\u03a9\u03af\u03b2\u03b7\u03c7\u03cc\u03d4\u03db"+ + "\u03e1\u03e7\u03ef\u03f5\u03f7\u0406\u040b\u0412\u0418\u041c\u0427"; public static final ATN _ATN = new ATNDeserializer().deserialize(_serializedATN.toCharArray()); static { diff --git a/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/40_tsdb.yml b/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/40_tsdb.yml index 3ce1e878e960a..9d8135506a472 100644 --- a/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/40_tsdb.yml +++ b/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/40_tsdb.yml @@ -901,7 +901,7 @@ PromQL rate on counter field: - method: POST path: /_query parameters: [] - capabilities: [promql_pre_tech_preview_v14] + capabilities: [promql_tech_preview] reason: "PromQL support" - do: esql.query: @@ -924,7 +924,7 @@ PromQL irate on counter field: - method: POST path: /_query parameters: [] - capabilities: [promql_pre_tech_preview_v14] + capabilities: [promql_tech_preview] reason: "PromQL support" - do: esql.query: @@ -947,7 +947,7 @@ PromQL increase on counter field: - method: POST path: /_query parameters: [] - capabilities: [promql_pre_tech_preview_v14] + capabilities: [promql_tech_preview] reason: "PromQL support" - do: esql.query: @@ -970,7 +970,7 @@ PromQL max_over_time: - method: POST path: /_query parameters: [] - capabilities: [promql_pre_tech_preview_v14] + capabilities: [promql_tech_preview] reason: "PromQL support" - do: esql.query: @@ -992,7 +992,7 @@ PromQL sum_over_time with grouping: - method: POST path: /_query parameters: [] - capabilities: [promql_pre_tech_preview_v14] + capabilities: [promql_tech_preview] reason: "PromQL support" - do: esql.query: @@ -1019,7 +1019,7 @@ PromQL avg aggregation: - method: POST path: /_query parameters: [] - capabilities: [promql_pre_tech_preview_v14] + capabilities: [promql_tech_preview] reason: "PromQL support" - do: esql.query: diff --git a/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/60_usage.yml b/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/60_usage.yml index 77dd4b2f1a317..4c09a5d9e34e7 100644 --- a/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/60_usage.yml +++ b/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/60_usage.yml @@ -58,7 +58,7 @@ setup: - ts_command_v0 - cosine_vector_similarity_function - inline_stats - - promql_pre_tech_preview_v14 + - promql_tech_preview reason: "Test that should only be executed on snapshot versions" - do: { xpack.usage: { } } From e2cdce60660e1416eae44afa8b16ce12ef5d663e Mon Sep 17 00:00:00 2001 From: Felix Barnsteiner Date: Fri, 16 Jan 2026 08:30:40 +0100 Subject: [PATCH 2/9] Remove test assumptions --- .../generative/GenerativeForkRestTest.java | 4 +-- .../xpack/esql/EsqlTestUtilsTests.java | 3 -- .../xpack/esql/action/PromqlFeatures.java | 30 ------------------- .../TranslatePromqlToTimeSeriesAggregate.java | 10 ------- .../xpack/esql/parser/LogicalPlanBuilder.java | 9 ------ .../elasticsearch/xpack/esql/CsvTests.java | 11 +++++-- .../xpack/esql/analysis/AnalyzerTests.java | 2 -- .../analysis/promql/PromqlVerifierTests.java | 7 ----- .../PromqlLogicalPlanOptimizerTests.java | 3 -- .../logical/promql/AutomatonUtilsTests.java | 8 ----- .../esql/parser/promql/PromqlAstTests.java | 7 ----- .../promql/PromqlFoldingUtilsTests.java | 7 ----- .../esql/parser/promql/PromqlParserTests.java | 7 ----- .../parser/promql/PromqlParserUtilsTests.java | 8 ----- .../esql/telemetry/VerifierMetricsTests.java | 2 -- 15 files changed, 10 insertions(+), 108 deletions(-) delete mode 100644 x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/PromqlFeatures.java diff --git a/x-pack/plugin/esql/qa/server/src/main/java/org/elasticsearch/xpack/esql/qa/rest/generative/GenerativeForkRestTest.java b/x-pack/plugin/esql/qa/server/src/main/java/org/elasticsearch/xpack/esql/qa/rest/generative/GenerativeForkRestTest.java index 3ca406846103b..670b4bdc4a712 100644 --- a/x-pack/plugin/esql/qa/server/src/main/java/org/elasticsearch/xpack/esql/qa/rest/generative/GenerativeForkRestTest.java +++ b/x-pack/plugin/esql/qa/server/src/main/java/org/elasticsearch/xpack/esql/qa/rest/generative/GenerativeForkRestTest.java @@ -8,7 +8,7 @@ package org.elasticsearch.xpack.esql.qa.rest.generative; import org.elasticsearch.xpack.esql.CsvSpecReader; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; +import org.elasticsearch.xpack.esql.action.EsqlCapabilities; import org.elasticsearch.xpack.esql.qa.rest.EsqlSpecTestCase; import java.io.IOException; @@ -74,7 +74,7 @@ protected void shouldSkipTest(String testName) throws IOException { assumeFalse( "Tests using PROMQL are not supported for now", - testCase.requiredCapabilities.contains(PromqlFeatures.capabilityName()) + testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.PROMQL_TECH_PREVIEW.capabilityName()) ); assumeFalse( diff --git a/x-pack/plugin/esql/qa/testFixtures/src/test/java/org/elasticsearch/xpack/esql/EsqlTestUtilsTests.java b/x-pack/plugin/esql/qa/testFixtures/src/test/java/org/elasticsearch/xpack/esql/EsqlTestUtilsTests.java index ef11acbb16448..1a079eab56e54 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/test/java/org/elasticsearch/xpack/esql/EsqlTestUtilsTests.java +++ b/x-pack/plugin/esql/qa/testFixtures/src/test/java/org/elasticsearch/xpack/esql/EsqlTestUtilsTests.java @@ -8,7 +8,6 @@ package org.elasticsearch.xpack.esql; import org.elasticsearch.test.ESTestCase; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import java.util.Set; @@ -17,7 +16,6 @@ public class EsqlTestUtilsTests extends ESTestCase { public void testPromQL() { - assumeTrue("requires snapshot build with promql feature enabled", PromqlFeatures.isEnabled()); assertThat( EsqlTestUtils.addRemoteIndices("PROMQL index=foo,bar step=1m (avg(foo_bar))", Set.of(), false), equalTo("PROMQL index=*:foo,foo,*:bar,bar step=1m (avg(foo_bar))") @@ -41,7 +39,6 @@ public void testPromQL() { } public void testPromQLDefaultIndex() { - assumeTrue("requires snapshot build with promql feature enabled", PromqlFeatures.isEnabled()); assertThat( EsqlTestUtils.addRemoteIndices("PROMQL step=1m (avg(baz))", Set.of(), false), equalTo("PROMQL index=*:*,* step=1m (avg(baz))") diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/PromqlFeatures.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/PromqlFeatures.java deleted file mode 100644 index abd9fea597f7a..0000000000000 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/PromqlFeatures.java +++ /dev/null @@ -1,30 +0,0 @@ -/* - * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one - * or more contributor license agreements. Licensed under the Elastic License - * 2.0; you may not use this file except in compliance with the Elastic License - * 2.0. - */ - -package org.elasticsearch.xpack.esql.action; - -/** - * Utility class for PromQL-related functionality. - */ -public final class PromqlFeatures { - - private PromqlFeatures() { - // Utility class - no instances - } - - /** - * Returns whether PromQL functionality is enabled. - * Exists to provide a single point of change and minimize noise when upgrading capability versions. - */ - public static boolean isEnabled() { - return EsqlCapabilities.Cap.TS_COMMAND_V0.isEnabled() && EsqlCapabilities.Cap.PROMQL_TECH_PREVIEW.isEnabled(); - } - - public static String capabilityName() { - return EsqlCapabilities.Cap.PROMQL_TECH_PREVIEW.capabilityName(); - } -} diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/promql/TranslatePromqlToTimeSeriesAggregate.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/promql/TranslatePromqlToTimeSeriesAggregate.java index 27df0dfd129ad..a4b5440f4c0d8 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/promql/TranslatePromqlToTimeSeriesAggregate.java +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/promql/TranslatePromqlToTimeSeriesAggregate.java @@ -7,8 +7,6 @@ package org.elasticsearch.xpack.esql.optimizer.rules.logical.promql; -import org.elasticsearch.xpack.esql.EsqlIllegalArgumentException; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import org.elasticsearch.xpack.esql.capabilities.ConfigurationAware; import org.elasticsearch.xpack.esql.core.QlIllegalArgumentException; import org.elasticsearch.xpack.esql.core.expression.Alias; @@ -98,14 +96,6 @@ public TranslatePromqlToTimeSeriesAggregate() { @Override protected LogicalPlan rule(PromqlCommand promqlCommand, LogicalOptimizerContext context) { - // Safety check: this should never occur as the parser should reject PromQL when disabled, - // but we check here as an additional safety measure - if (PromqlFeatures.isEnabled() == false) { - throw new EsqlIllegalArgumentException( - "PromQL translation attempted but feature is disabled. This should have been caught by the parser." - ); - } - List labelFilterConditions = new ArrayList<>(); Expression value = mapNode(promqlCommand, promqlCommand.promqlPlan(), labelFilterConditions, context); LogicalPlan plan = withTimestampFilter(promqlCommand, promqlCommand.child()); diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/LogicalPlanBuilder.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/LogicalPlanBuilder.java index d024948855f15..68da8f52e43bd 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/LogicalPlanBuilder.java +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/parser/LogicalPlanBuilder.java @@ -23,7 +23,6 @@ import org.elasticsearch.transport.RemoteClusterAware; import org.elasticsearch.xpack.esql.VerificationException; import org.elasticsearch.xpack.esql.action.EsqlCapabilities; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import org.elasticsearch.xpack.esql.capabilities.TelemetryAware; import org.elasticsearch.xpack.esql.common.Failure; import org.elasticsearch.xpack.esql.core.expression.Alias; @@ -1221,14 +1220,6 @@ public PlanFactory visitSampleCommand(EsqlBaseParser.SampleCommandContext ctx) { public LogicalPlan visitPromqlCommand(EsqlBaseParser.PromqlCommandContext ctx) { Source source = source(ctx); - // Check if PromQL functionality is enabled - if (PromqlFeatures.isEnabled() == false) { - throw new ParsingException( - source, - "PROMQL command is not available. Requires snapshot build with capability [promql_vX] enabled" - ); - } - PromqlParams params = parsePromqlParams(ctx, source); UnresolvedRelation unresolvedRelation = new UnresolvedRelation( source, diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java index 54bf8defad144..3e70551472772 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java @@ -55,7 +55,6 @@ import org.elasticsearch.xpack.esql.action.EsqlCapabilities; import org.elasticsearch.xpack.esql.action.EsqlExecutionInfo; import org.elasticsearch.xpack.esql.action.EsqlQueryRequest; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import org.elasticsearch.xpack.esql.analysis.Analyzer; import org.elasticsearch.xpack.esql.analysis.AnalyzerContext; import org.elasticsearch.xpack.esql.analysis.EnrichResolution; @@ -302,7 +301,10 @@ public final void test() throws Throwable { "can't load metrics in csv tests", testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.TS_COMMAND_V0.capabilityName()) ); - assumeFalse("can't load metrics in csv tests", testCase.requiredCapabilities.contains(PromqlFeatures.capabilityName())); + assumeFalse( + "can't load metrics in csv tests", + testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.PROMQL_TECH_PREVIEW.capabilityName()) + ); assumeFalse( "can't use QSTR function in csv tests", testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.QSTR_FUNCTION.capabilityName()) @@ -355,7 +357,10 @@ public final void test() throws Throwable { "CSV tests cannot currently handle subqueries", testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.SUBQUERY_IN_FROM_COMMAND.capabilityName()) ); - assumeFalse("can't use PromQL in csv tests", testCase.requiredCapabilities.contains(PromqlFeatures.capabilityName())); + assumeFalse( + "can't use PromQL in csv tests", + testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.PROMQL_TECH_PREVIEW.capabilityName()) + ); if (Build.current().isSnapshot()) { assertThat( diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/analysis/AnalyzerTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/analysis/AnalyzerTests.java index df34af303435d..3f0cdba77e9e6 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/analysis/AnalyzerTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/analysis/AnalyzerTests.java @@ -25,7 +25,6 @@ import org.elasticsearch.xpack.esql.LoadMapping; import org.elasticsearch.xpack.esql.VerificationException; import org.elasticsearch.xpack.esql.action.EsqlCapabilities; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import org.elasticsearch.xpack.esql.core.expression.Alias; import org.elasticsearch.xpack.esql.core.expression.Attribute; import org.elasticsearch.xpack.esql.core.expression.AttributeSet; @@ -2586,7 +2585,6 @@ public void testTimeseriesDefaultLimitIs1B() { } public void testLimitForPromQL() { - assumeTrue("Requires promql support", PromqlFeatures.isEnabled()); Analyzer analyzer = analyzer(tsdbIndexResolution()); assertDefaultLimitForQuery(analyzer, """ PROMQL index=test diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/analysis/promql/PromqlVerifierTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/analysis/promql/PromqlVerifierTests.java index 78b21f1d66bf5..f3f0c6221d717 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/analysis/promql/PromqlVerifierTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/analysis/promql/PromqlVerifierTests.java @@ -8,10 +8,8 @@ package org.elasticsearch.xpack.esql.analysis.promql; import org.elasticsearch.test.ESTestCase; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import org.elasticsearch.xpack.esql.analysis.Analyzer; import org.elasticsearch.xpack.esql.analysis.AnalyzerTestUtils; -import org.junit.BeforeClass; import java.util.List; @@ -24,11 +22,6 @@ public class PromqlVerifierTests extends ESTestCase { private final Analyzer tsdb = AnalyzerTestUtils.analyzer(AnalyzerTestUtils.tsdbIndexResolution()); - @BeforeClass - public static void checkPromqlEnabled() { - assumeTrue("requires snapshot build with promql feature enabled", PromqlFeatures.isEnabled()); - } - public void testPromqlRangeVector() { assertThat( error("PROMQL index=test step=5m network.bytes_in[5m]", tsdb), diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/promql/PromqlLogicalPlanOptimizerTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/promql/PromqlLogicalPlanOptimizerTests.java index 6d222e13d7251..303e978b3d461 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/promql/PromqlLogicalPlanOptimizerTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/promql/PromqlLogicalPlanOptimizerTests.java @@ -11,7 +11,6 @@ import org.elasticsearch.TransportVersion; import org.elasticsearch.index.IndexMode; import org.elasticsearch.xpack.esql.EsqlTestUtils; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import org.elasticsearch.xpack.esql.analysis.Analyzer; import org.elasticsearch.xpack.esql.analysis.AnalyzerContext; import org.elasticsearch.xpack.esql.core.expression.Alias; @@ -84,8 +83,6 @@ public class PromqlLogicalPlanOptimizerTests extends AbstractLogicalPlanOptimize @BeforeClass public static void initTest() { - assumeTrue("requires snapshot build with promql feature enabled", PromqlFeatures.isEnabled()); - var timeSeriesMapping = loadMapping("k8s-mappings.json"); var timeSeriesIndex = IndexResolution.valid( new EsIndex("k8s", timeSeriesMapping, Map.of("k8s", IndexMode.TIME_SERIES), Map.of(), Map.of(), Set.of()) diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/promql/AutomatonUtilsTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/promql/AutomatonUtilsTests.java index e0b6c970594ee..8cee71294713f 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/promql/AutomatonUtilsTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/promql/AutomatonUtilsTests.java @@ -8,9 +8,7 @@ package org.elasticsearch.xpack.esql.optimizer.rules.logical.promql; import org.elasticsearch.test.ESTestCase; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import org.elasticsearch.xpack.esql.optimizer.rules.logical.promql.AutomatonUtils.PatternFragment; -import org.junit.BeforeClass; import java.util.List; @@ -25,15 +23,9 @@ import static org.hamcrest.Matchers.hasSize; import static org.hamcrest.Matchers.notNullValue; import static org.hamcrest.Matchers.nullValue; -import static org.junit.Assume.assumeTrue; public class AutomatonUtilsTests extends ESTestCase { - @BeforeClass - public static void checkPromqlEnabled() { - assumeTrue("requires snapshot build with promql feature enabled", PromqlFeatures.isEnabled()); - } - public void testExtractFragments_ExactString() { // Single exact string (no wildcards) List fragments = extractFragments("api"); diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlAstTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlAstTests.java index 2aecfe4cc3381..87bf5c1b434ef 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlAstTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlAstTests.java @@ -12,7 +12,6 @@ import org.elasticsearch.logging.Logger; import org.elasticsearch.test.ESTestCase; import org.elasticsearch.xpack.esql.EsqlTestUtils; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import org.elasticsearch.xpack.esql.core.QlClientException; import org.elasticsearch.xpack.esql.core.expression.Literal; import org.elasticsearch.xpack.esql.core.tree.Source; @@ -23,7 +22,6 @@ import org.elasticsearch.xpack.esql.plan.logical.Explain; import org.elasticsearch.xpack.esql.plan.logical.LogicalPlan; import org.elasticsearch.xpack.esql.plan.logical.promql.PromqlCommand; -import org.junit.BeforeClass; import java.io.BufferedReader; import java.net.URL; @@ -46,11 +44,6 @@ public class PromqlAstTests extends ESTestCase { private static final Logger log = LogManager.getLogger(PromqlAstTests.class); - @BeforeClass - public static void checkPromqlEnabled() { - assumeTrue("requires snapshot build with promql feature enabled", PromqlFeatures.isEnabled()); - } - public void testValidQueries() throws Exception { testValidQueries("/promql/grammar/queries-valid.promql"); } diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlFoldingUtilsTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlFoldingUtilsTests.java index ae2d40e187e31..91fed83acbce6 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlFoldingUtilsTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlFoldingUtilsTests.java @@ -8,12 +8,10 @@ package org.elasticsearch.xpack.esql.parser.promql; import org.elasticsearch.test.ESTestCase; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import org.elasticsearch.xpack.esql.core.tree.Source; import org.elasticsearch.xpack.esql.parser.ParsingException; import org.elasticsearch.xpack.esql.plan.logical.promql.operator.VectorBinaryArithmetic.ArithmeticOp; import org.elasticsearch.xpack.esql.plan.logical.promql.operator.VectorBinaryComparison.ComparisonOp; -import org.junit.BeforeClass; import java.time.Duration; @@ -33,11 +31,6 @@ public class PromqlFoldingUtilsTests extends ESTestCase { - @BeforeClass - public static void checkPromqlEnabled() { - assumeTrue("requires snapshot build with promql feature enabled", PromqlFeatures.isEnabled()); - } - private static Duration sec(int seconds) { return Duration.ofSeconds(seconds); } diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlParserTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlParserTests.java index cd5b32a030aa1..8c25a88978180 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlParserTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlParserTests.java @@ -9,7 +9,6 @@ import org.elasticsearch.test.ESTestCase; import org.elasticsearch.xpack.esql.EsqlTestUtils; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import org.elasticsearch.xpack.esql.parser.EsqlParser; import org.elasticsearch.xpack.esql.parser.ParsingException; import org.elasticsearch.xpack.esql.parser.QueryParams; @@ -20,7 +19,6 @@ import org.elasticsearch.xpack.esql.plan.logical.promql.PromqlCommand; import org.elasticsearch.xpack.esql.plan.logical.promql.selector.InstantSelector; import org.elasticsearch.xpack.esql.plan.logical.promql.selector.RangeSelector; -import org.junit.BeforeClass; import java.time.Duration; import java.time.Instant; @@ -44,11 +42,6 @@ public class PromqlParserTests extends ESTestCase { private static final EsqlParser parser = EsqlParser.INSTANCE; - @BeforeClass - public static void checkPromqlEnabled() { - assumeTrue("requires snapshot build with promql feature enabled", PromqlFeatures.isEnabled()); - } - public void testNoParenthesis() { Stream.of( parse("PROMQL index=test step=5m avg(foo)"), diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlParserUtilsTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlParserUtilsTests.java index a52ac5663e878..c27c4a76f9bb2 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlParserUtilsTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlParserUtilsTests.java @@ -9,10 +9,8 @@ import org.elasticsearch.core.Tuple; import org.elasticsearch.test.ESTestCase; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import org.elasticsearch.xpack.esql.core.tree.Source; import org.elasticsearch.xpack.esql.parser.ParsingException; -import org.junit.BeforeClass; import java.time.Duration; import java.util.List; @@ -25,15 +23,9 @@ import static java.time.Duration.ofSeconds; import static java.util.Arrays.asList; import static org.hamcrest.Matchers.containsString; -import static org.junit.Assume.assumeTrue; public class PromqlParserUtilsTests extends ESTestCase { - @BeforeClass - public static void checkPromqlEnabled() { - assumeTrue("requires snapshot build with promql feature enabled", PromqlFeatures.isEnabled()); - } - private Duration parseTimeValue(String value) { return PromqlParserUtils.parseDuration(new Source(0, 0, value), value); } diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/telemetry/VerifierMetricsTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/telemetry/VerifierMetricsTests.java index 701c6c0e2cbed..6d1671ff701db 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/telemetry/VerifierMetricsTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/telemetry/VerifierMetricsTests.java @@ -12,7 +12,6 @@ import org.elasticsearch.test.ESTestCase; import org.elasticsearch.xpack.core.watcher.common.stats.Counters; import org.elasticsearch.xpack.esql.action.EsqlCapabilities; -import org.elasticsearch.xpack.esql.action.PromqlFeatures; import org.elasticsearch.xpack.esql.analysis.Verifier; import org.elasticsearch.xpack.esql.expression.function.EsqlFunctionRegistry; import org.elasticsearch.xpack.esql.expression.function.FunctionDefinition; @@ -814,7 +813,6 @@ public void testBinaryPlanAfterSubqueryInFromCommand() { } public void testPromql() { - assumeTrue("PromQL required", PromqlFeatures.isEnabled()); Counters c = esql(""" PROMQL index=k8s step=5m sum(network.cost)"""); assertEquals(0, dissect(c)); From e6e3e181e9f5a4ef9bce5736d048f1bfe6b8bcf7 Mon Sep 17 00:00:00 2001 From: Felix Barnsteiner Date: Fri, 16 Jan 2026 10:31:20 +0100 Subject: [PATCH 3/9] Check if explain is enabled --- .../xpack/esql/parser/promql/PromqlAstTests.java | 15 +++++++++------ .../esql/parser/promql/PromqlParserTests.java | 3 +++ 2 files changed, 12 insertions(+), 6 deletions(-) diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlAstTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlAstTests.java index 87bf5c1b434ef..9f3fdb9179de3 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlAstTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlAstTests.java @@ -12,6 +12,7 @@ import org.elasticsearch.logging.Logger; import org.elasticsearch.test.ESTestCase; import org.elasticsearch.xpack.esql.EsqlTestUtils; +import org.elasticsearch.xpack.esql.action.EsqlCapabilities; import org.elasticsearch.xpack.esql.core.QlClientException; import org.elasticsearch.xpack.esql.core.expression.Literal; import org.elasticsearch.xpack.esql.core.tree.Source; @@ -72,13 +73,15 @@ private void testValidQueries(String url) throws Exception { LogicalPlan esqlPlan = EsqlParser.INSTANCE.parseQuery(query); assertThat(esqlPlan.collect(PromqlCommand.class), hasSize(1)); - LogicalPlan explainPlan = EsqlParser.INSTANCE.parseQuery("EXPLAIN (" + query + ")"); - Explain explain = explainPlan.collect(Explain.class).getFirst(); - assertThat(explain.query().collect(PromqlCommand.class), hasSize(1)); + if (EsqlCapabilities.Cap.EXPLAIN.isEnabled()) { + LogicalPlan explainPlan = EsqlParser.INSTANCE.parseQuery("EXPLAIN (" + query + ")"); + Explain explain = explainPlan.collect(Explain.class).getFirst(); + assertThat(explain.query().collect(PromqlCommand.class), hasSize(1)); - explainPlan = EsqlParser.INSTANCE.parseQuery("EXPLAIN (" + query + " | LIMIT 1 )"); - explain = explainPlan.collect(Explain.class).getFirst(); - assertThat(explain.query().collect(PromqlCommand.class), hasSize(1)); + explainPlan = EsqlParser.INSTANCE.parseQuery("EXPLAIN (" + query + " | LIMIT 1 )"); + explain = explainPlan.collect(Explain.class).getFirst(); + assertThat(explain.query().collect(PromqlCommand.class), hasSize(1)); + } }); } catch (ParsingException pe) { fail(format(null, "Error parsing line {}:{} '{}' [{}]", line.v2(), pe.getColumnNumber(), pe.getErrorMessage(), q)); diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlParserTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlParserTests.java index 8c25a88978180..e1ae01a802949 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlParserTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/parser/promql/PromqlParserTests.java @@ -9,6 +9,7 @@ import org.elasticsearch.test.ESTestCase; import org.elasticsearch.xpack.esql.EsqlTestUtils; +import org.elasticsearch.xpack.esql.action.EsqlCapabilities; import org.elasticsearch.xpack.esql.parser.EsqlParser; import org.elasticsearch.xpack.esql.parser.ParsingException; import org.elasticsearch.xpack.esql.parser.QueryParams; @@ -235,6 +236,7 @@ public void testParseRemoteIndices() { } public void testExplain() { + assumeTrue("requires explain command", EsqlCapabilities.Cap.EXPLAIN.isEnabled()); assertExplain(""" PROMQL index=k8s step=5m ( avg by (pod) (avg_over_time(network.bytes_in{pod=~"host-0|host-1|host-2"}[1h])) ) | LIMIT 1000 @@ -251,6 +253,7 @@ public void testExplain() { } public void assertExplain(String query, Class promqlCommandClass) { + assumeTrue("requires explain command", EsqlCapabilities.Cap.EXPLAIN.isEnabled()); var plan = parser.parseQuery("EXPLAIN ( " + query + " )"); Explain explain = plan.collect(Explain.class).getFirst(); PromqlCommand promqlCommand = explain.query().collect(PromqlCommand.class).getFirst(); From ac18c88c01b956c81f2ed95a79e11fa9929b3c22 Mon Sep 17 00:00:00 2001 From: Felix Barnsteiner Date: Tue, 20 Jan 2026 14:08:52 +0100 Subject: [PATCH 4/9] Update capabilities --- .../src/main/resources/k8s-timeseries-promql.csv-spec | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec index 8437bd333abed..0c3e927c785c9 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec @@ -40,7 +40,7 @@ cost:double | step:datetime | cluster:keyword ; equals_filter_case_sensitive -required_capability: promql_pre_tech_preview_v14 +required_capability: promql_tech_preview PROMQL index=k8s step=1h cost=(max by (cluster) (network.total_bytes_in{cluster="PROD"})) | SORT cluster; @@ -67,8 +67,7 @@ cost:double | step:datetime | cluster:keyword ; filter_same_label_multiple_times -required_capability: promql_pre_tech_preview_v14 -required_capability: promql_multiple_filters_for_same_label +required_capability: promql_tech_preview PROMQL index=k8s step=1h cost=(max by (cluster) (network.total_bytes_in{cluster!="prod",cluster!="qa"})); cost:double | step:datetime | cluster:keyword From e7b9235046711a2dc965b46f5dae705707301e40 Mon Sep 17 00:00:00 2001 From: Felix Barnsteiner Date: Tue, 20 Jan 2026 16:30:19 +0100 Subject: [PATCH 5/9] Fix release tests --- .../resources/rest-api-spec/test/esql/60_usage.yml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/60_usage.yml b/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/60_usage.yml index 8c7db3706240a..f9a280b6893cb 100644 --- a/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/60_usage.yml +++ b/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/60_usage.yml @@ -216,13 +216,13 @@ setup: - method: POST path: /_query parameters: [ ] - capabilities: [ non_snapshot_test_for_telemetry_v2, fn_contains ] + capabilities: [ non_snapshot_test_for_telemetry_v2, fn_contains, promql_tech_preview ] reason: "Test that should only be executed on release versions" - do: { xpack.usage: { } } - match: { esql.available: true } - match: { esql.enabled: true } - - length: { esql.features: 30 } + - length: { esql.features: 31 } - set: { esql.features.dissect: dissect_counter } - set: { esql.features.drop: drop_counter } - set: { esql.features.eval: eval_counter } @@ -238,6 +238,7 @@ setup: - set: { esql.features.show: show_counter } - set: { esql.features.sort: sort_counter } - set: { esql.features.stats: stats_counter } + - set: { esql.features.promql: promql_counter } - set: { esql.features.where: where_counter } - set: { esql.features.lookup_join: lookup_join_counter } - set: { esql.features.lookup_join_on_expression: lookup_join_on_expression_counter } From b3e1c80f8ec3596928b5eaa1602de76d02051c01 Mon Sep 17 00:00:00 2001 From: Felix Barnsteiner Date: Wed, 21 Jan 2026 07:45:09 +0100 Subject: [PATCH 6/9] Fold clamp capability --- .../main/resources/k8s-timeseries-promql.csv-spec | 14 +++++++------- .../xpack/esql/action/EsqlCapabilities.java | 2 +- .../org/elasticsearch/xpack/esql/CsvTests.java | 4 ---- 3 files changed, 8 insertions(+), 12 deletions(-) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec index fabcd806bee91..c2b00a4182fed 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec @@ -220,7 +220,7 @@ result:double | step:datetime ; clamp_scalar -required_capability: promql_clamp +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(clamp(vector(5.0), 0, 10)); result:double | step:datetime @@ -228,7 +228,7 @@ result:double | step:datetime ; clamp_scalar_below_min -required_capability: promql_clamp +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(clamp(vector(-5.0), 0, 10)); result:double | step:datetime @@ -236,7 +236,7 @@ result:double | step:datetime ; clamp_scalar_above_max -required_capability: promql_clamp +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(clamp(vector(15.0), 0, 10)); result:double | step:datetime @@ -244,7 +244,7 @@ result:double | step:datetime ; clamp_min_scalar -required_capability: promql_clamp +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(clamp_min(vector(-5.0), 0)); result:double | step:datetime @@ -252,7 +252,7 @@ result:double | step:datetime ; clamp_min_scalar_above -required_capability: promql_clamp +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(clamp_min(vector(5.0), 0)); result:double | step:datetime @@ -260,7 +260,7 @@ result:double | step:datetime ; clamp_max_scalar -required_capability: promql_clamp +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(clamp_max(vector(15.0), 10)); result:double | step:datetime @@ -268,7 +268,7 @@ result:double | step:datetime ; clamp_max_scalar_below -required_capability: promql_clamp +required_capability: promql_tech_preview PROMQL index=k8s step=1h result=(clamp_max(vector(5.0), 10)); result:double | step:datetime diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java index 8b6e9910598f7..96cf05008a4e9 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java @@ -1816,7 +1816,7 @@ public enum Cap { /** * PromQL clamp, clamp_min, and clamp_max functions support. */ - PROMQL_CLAMP(Build.current().isSnapshot()), + PROMQL_TECH_PREVIEW(Build.current().isSnapshot()), /** * KNN function adds support for k and visit_percentage options diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java index 94cbdf0c1033a..7f59f3872091b 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java @@ -305,10 +305,6 @@ public final void test() throws Throwable { "can't load metrics in csv tests", testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.PROMQL_TECH_PREVIEW.capabilityName()) ); - assumeFalse( - "can't load metrics in csv tests", - testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.PROMQL_CLAMP.capabilityName()) - ); assumeFalse( "can't use QSTR function in csv tests", testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.QSTR_FUNCTION.capabilityName()) From 182dd7003c14c8c999c0c9494f39386dd60939d8 Mon Sep 17 00:00:00 2001 From: Felix Barnsteiner Date: Wed, 21 Jan 2026 07:49:14 +0100 Subject: [PATCH 7/9] Rename capability to PROMQL_COMMAND_V0 --- .../generative/GenerativeForkRestTest.java | 2 +- .../k8s-timeseries-absent-over-time.csv-spec | 10 +-- .../k8s-timeseries-arithmetic.csv-spec | 30 ++++----- .../k8s-timeseries-avg-over-time.csv-spec | 4 +- .../k8s-timeseries-count-over-time.csv-spec | 42 ++++++------ .../resources/k8s-timeseries-delta.csv-spec | 12 ++-- .../k8s-timeseries-first-over-time.csv-spec | 14 ++-- .../resources/k8s-timeseries-idelta.csv-spec | 12 ++-- .../k8s-timeseries-increase.csv-spec | 14 ++-- .../resources/k8s-timeseries-irate.csv-spec | 16 ++--- .../k8s-timeseries-last-over-time.csv-spec | 24 +++---- .../k8s-timeseries-max-over-time.csv-spec | 36 +++++------ .../k8s-timeseries-min-over-time.csv-spec | 38 +++++------ .../k8s-timeseries-present-over-time.csv-spec | 34 +++++----- .../resources/k8s-timeseries-promql.csv-spec | 64 +++++++++---------- .../resources/k8s-timeseries-rate.csv-spec | 12 ++-- .../k8s-timeseries-sum-over-time.csv-spec | 32 +++++----- .../main/resources/k8s-timeseries.csv-spec | 18 +++--- .../xpack/esql/action/EsqlCapabilities.java | 9 +-- .../elasticsearch/xpack/esql/CsvTests.java | 4 +- .../rest-api-spec/test/esql/40_tsdb.yml | 12 ++-- .../rest-api-spec/test/esql/60_usage.yml | 4 +- 22 files changed, 219 insertions(+), 224 deletions(-) diff --git a/x-pack/plugin/esql/qa/server/src/main/java/org/elasticsearch/xpack/esql/qa/rest/generative/GenerativeForkRestTest.java b/x-pack/plugin/esql/qa/server/src/main/java/org/elasticsearch/xpack/esql/qa/rest/generative/GenerativeForkRestTest.java index 670b4bdc4a712..d5fe809ef33f6 100644 --- a/x-pack/plugin/esql/qa/server/src/main/java/org/elasticsearch/xpack/esql/qa/rest/generative/GenerativeForkRestTest.java +++ b/x-pack/plugin/esql/qa/server/src/main/java/org/elasticsearch/xpack/esql/qa/rest/generative/GenerativeForkRestTest.java @@ -74,7 +74,7 @@ protected void shouldSkipTest(String testName) throws IOException { assumeFalse( "Tests using PROMQL are not supported for now", - testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.PROMQL_TECH_PREVIEW.capabilityName()) + testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.PROMQL_COMMAND_V0.capabilityName()) ); assumeFalse( diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-absent-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-absent-over-time.csv-spec index c3f784205d693..13d3cd21130b9 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-absent-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-absent-over-time.csv-spec @@ -21,7 +21,7 @@ false | two | 2024-05-10T00:22:00.000Z ; absent_over_time_events_received_promql-Ignore -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=2m is_absent=(max by (pod) (absent_over_time(events_received{cluster="prod",pod="two"}[2m]))) | SORT step | LIMIT 10; @@ -50,7 +50,7 @@ false | staging | 2024-05-10T00:20:00.000Z ; absent_over_time_of_long_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_absent=(max by (cluster) (absent_over_time(network.bytes_in[10m]))) | SORT cluster, step | LIMIT 10; @@ -84,7 +84,7 @@ false | staging | 2024-05-10T00:20:00.000Z ; absent_over_time_of_boolean_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_absent=(max by (cluster) (absent_over_time(network.eth0.up[10m]))) | SORT step, cluster | LIMIT 10; @@ -166,7 +166,7 @@ false | staging | 2024-05-10T00:20:00.000Z ; absent_over_time_of_integer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_absent=(max by (cluster) (absent_over_time(network.eth0.currently_connected_clients[10m]))) | SORT step, cluster | LIMIT 10; @@ -313,7 +313,7 @@ false | staging | 2024-05-10T00:20:00.000Z ; absent_over_time_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_absent=(max by (cluster) (absent_over_time(network.bytes_in{pod!="three"}[10m]))) | SORT step, cluster | LIMIT 10; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-arithmetic.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-arithmetic.csv-spec index 869802c0aa907..32d35c97e9be7 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-arithmetic.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-arithmetic.csv-spec @@ -1,7 +1,7 @@ // scalar-scalar tests addition_scalar_scalar_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h sum=(1+1); sum:double | step:datetime @@ -33,7 +33,7 @@ network_in_bits:long | _timeseries:keyword ; multiplication_metric_scalar_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h network_in_bits=(network.total_bytes_in * 8) | SORT network_in_bits DESC; @@ -71,7 +71,7 @@ network_in_bits:long | _timeseries:keyword ; multiplication_within_series_scalar_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h network_in_bits=(last_over_time(network.total_bytes_in[1h]) * 8) | SORT network_in_bits DESC; @@ -99,7 +99,7 @@ max_bits:long | step:datetime ; across_series_multiplication_metric_scalar_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h max_bits=( max(network.total_bytes_in * 8) ) | SORT max_bits DESC; @@ -120,7 +120,7 @@ max_bits:long | step:datetime ; multiplication_across_series_scalar_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h max_bits=( max(network.total_bytes_in) * 8 ) | SORT max_bits DESC; @@ -143,7 +143,7 @@ max_bits:long | TBUCKET(1h):datetime | cluster:keyword ; across_series_grouping_multiplication_within_series_scalar_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h max_bits=( max by (cluster) (last_over_time(network.total_bytes_in[1h]) * 8) ) | SORT max_bits DESC; @@ -168,7 +168,7 @@ max_bits:long | TBUCKET(1h):date | cluster:keyword ; across_series_grouping_multiplication_metric_scalar_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h max_bits=( max by (cluster) (network.total_bytes_in * 8) ) | SORT max_bits DESC; @@ -193,7 +193,7 @@ max_bits:long | step:datetime | cluster:keyword ; multiplication_across_series_grouping_scalar_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h max_bits=( max by (cluster) (network.total_bytes_in) * 8 ) | SORT max_bits DESC; @@ -218,7 +218,7 @@ max_bits:long | step:datetime | cluster:keyword ; multiplication_across_series_grouping_within_series_scalar_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h max_bits=( max by (cluster) (last_over_time(network.total_bytes_in[1h])) * 8 ) @@ -240,7 +240,7 @@ max:long ; addition_scalar_inner_and_outer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h max=(10 + max(10 + network.total_bytes_in)) | KEEP max; @@ -273,7 +273,7 @@ in_n_out:long | _timeseries:keyword ; addition_metric_metric_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h in_n_out=(network.eth0.rx + network.eth0.tx) | SORT in_n_out DESC; @@ -304,7 +304,7 @@ div:long | step:datetime | cluster:keyword ; division_metric_metric_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h div=( max by (cluster) (network.total_bytes_in / network.total_bytes_in) ) @@ -329,7 +329,7 @@ div:long | step:datetime | cluster:keyword ; division_metric_metric_grouping_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h div=( max by (cluster) (network.total_bytes_in{cluster!="prod"} / network.total_bytes_in{cluster!="staging"}) ) | SORT cluster; @@ -356,7 +356,7 @@ div:double | step:datetime | cluster:keyword ; division_within_series_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h div=( max by (cluster) (rate(network.total_bytes_in[1h]) / rate(network.total_bytes_in[1h])) ) | SORT cluster; @@ -386,7 +386,7 @@ ratio:double | step:datetime | cluster:keyword ; tx_ratio_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h ratio=( max by (cluster) ( network.eth0.tx / diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-avg-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-avg-over-time.csv-spec index e5675f36d85c4..90db4834c55ea 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-avg-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-avg-over-time.csv-spec @@ -18,7 +18,7 @@ cost:double | time_bucket:datetime ; avg_over_time_of_double_no_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m cost=(sum(avg_over_time(network.cost[1m]))) | SORT cost DESC, step DESC | LIMIT 10; @@ -46,7 +46,7 @@ cost:double | time_bucket:datetime ; avg_over_time_of_double_no_grouping_single_bucket_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h cost=(sum(avg_over_time(network.cost[1h]))); cost:double | step:datetime diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-count-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-count-over-time.csv-spec index aadcd53c16eda..74340b4336b07 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-count-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-count-over-time.csv-spec @@ -15,7 +15,7 @@ ip:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_ip_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m ip=(min by (cluster) (count_over_time(client.ip[10m]))) | SORT step, cluster | LIMIT 10; @@ -49,7 +49,7 @@ bytes_in:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_long_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m bytes_in=(sum by (cluster) (count_over_time(network.bytes_in[10m]))) | SORT bytes_in DESC, cluster, step | LIMIT 10; @@ -99,7 +99,7 @@ bytes_in:long | cluster:keyword | time_bucket:datetime ; count_over_time_with_window_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: time_series_window_v1 PROMQL index=k8s step=2m bytes_in=(sum by (cluster) (count_over_time(network.bytes_in[10m]))) @@ -145,7 +145,7 @@ eth0_up:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_boolean_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m eth0_up=(min by (cluster) (count_over_time(network.eth0.up[10m]))) | SORT step, cluster | LIMIT 10; @@ -179,7 +179,7 @@ last_up:long | cluster:keyword | time_bucket:date_nanos ; count_over_time_of_date_nanos_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: promql_date_nanos_support_v0 PROMQL index=datenanos-k8s step=10m last_up=(max by (cluster) (count_over_time(network.eth0.last_up[10m]))) @@ -214,7 +214,7 @@ last_up:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_date_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m last_up=(max by (cluster) (count_over_time(network.eth0.last_up[10m]))) | SORT step, cluster | LIMIT 10; @@ -248,7 +248,7 @@ version:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_version_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m version=(max by (cluster) (count_over_time(network.eth0.firmware_version[10m]))) | SORT step, cluster | LIMIT 10; @@ -282,7 +282,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; count_over_time_of_integer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m clients=(avg by (cluster) (count_over_time(network.eth0.currently_connected_clients[10m]))) | SORT step, cluster | LIMIT 10; @@ -316,7 +316,7 @@ event_log:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_text_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m event_log=(max by (cluster) (count_over_time(event_log[10m]))) | SORT event_log, cluster, step | LIMIT 10; @@ -350,7 +350,7 @@ pod:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_keyword_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m pod=(min by (cluster) (count_over_time(network.eth0.up[10m]))) | SORT step, cluster | LIMIT 10; @@ -385,7 +385,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_aggregate_metric_double_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum by (cluster) (count_over_time(network.eth0.tx[10m]))) @@ -420,7 +420,7 @@ min:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_geopoint_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m min=(min by (cluster) (count_over_time(event_city[10m]))) | SORT step, cluster | LIMIT 10; @@ -454,7 +454,7 @@ min:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_geoshape_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m min=(min by (cluster) (count_over_time(event_city_boundary[10m]))) | SORT step, cluster | LIMIT 10; @@ -488,7 +488,7 @@ min:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_shape_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m min=(min by (cluster) (count_over_time(event_shape[10m]))) | SORT step, cluster | LIMIT 10; @@ -522,7 +522,7 @@ min:long | cluster:keyword | time_bucket:datetime ; count_over_time_of_point_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m min=(min by (cluster) (count_over_time(event_location[10m]))) | SORT step, cluster | LIMIT 10; @@ -556,7 +556,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; count_over_time_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m tx=(sum by (cluster) (count_over_time(network.bytes_in{pod!="three"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -603,7 +603,7 @@ bytes:long | pod:keyword | time_bucket:datetime | kb:double ; eval_on_count_over_time_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m bytes=(sum by (pod) (count_over_time(network.bytes_in[10m]))) | EVAL kb = bytes / 1000.0 @@ -639,7 +639,7 @@ events:double | pod:keyword | time_bucket:datetime ; count_over_time_multi_values_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m start="2024-05-10T00:00:00.000Z" end="2024-05-10T00:09:00.000Z" events=(avg by (pod) (count_over_time(events_received[1m]))) | SORT events, pod, step | LIMIT 10; @@ -675,7 +675,7 @@ events:long | pod:keyword | time_bucket:datetime ; count_over_time_null_values_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m start="2024-05-10T00:10:00.000Z" end="2024-05-10T00:14:00.000Z" events=(sum by (pod) (count_over_time(events_received[1m]))) | SORT events, pod, step | LIMIT 10; @@ -710,7 +710,7 @@ events:long | pod:keyword | time_bucket:datetime ; count_over_time_all_value_types_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m events=(sum by (pod) (count_over_time(events_received[10m]))) | SORT events, pod, step | LIMIT 10; @@ -748,7 +748,7 @@ bytes:long | pod:keyword | time_bucket:datetime # Awaits fix: https://github.com/elastic/metrics-program/issues/302 count_over_time_aggregate_metric_double_implicit_casting_promql-Ignore -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum by (pod) (count_over_time(network.eth0.rx[10m]))) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-delta.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-delta.csv-spec index 866a36fb96de4..cc407e0ef6f38 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-delta.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-delta.csv-spec @@ -24,7 +24,7 @@ null | 2024-05-10T00:01:00.000Z ; delta_of_double_no_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m cost_change=(sum(delta(network.cost[1m]))) | SORT cost_change DESC, step DESC | LIMIT 10; @@ -62,7 +62,7 @@ null | 2024-05-10T00:01:00.000Z ; delta_of_integer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg(delta(network.eth0.currently_connected_clients[1m]))) | SORT step | LIMIT 10; @@ -100,7 +100,7 @@ null | prod | 2024-05-10T00:03:00.000Z ; delta_of_integer_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg by (cluster) (delta(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -143,7 +143,7 @@ tx:double | cluster:keyword | time_bucket:datetime ; delta_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m tx=(sum by (cluster) (delta(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -197,7 +197,7 @@ avg_bytes:double | cluster:keyword | time_bucket:datetime | kb_minus_offs ; eval_on_delta_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m avg_bytes=(avg by (cluster) (delta(network.bytes_in[10m]))) | EVAL kb_minus_offset = (avg_bytes - 100) / 1000.0 @@ -273,7 +273,7 @@ events:double | pod:keyword | time_bucket:datetime ; delta_all_value_types_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m events=(sum by (pod) (delta(events_received[10m]))) | SORT events DESC, pod, step | LIMIT 10; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-first-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-first-over-time.csv-spec index 22b077311e61a..06bd19abf7b73 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-first-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-first-over-time.csv-spec @@ -16,7 +16,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; first_over_time_of_integer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg by (cluster) (first_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -52,7 +52,7 @@ bytes:double | cluster:keyword | time_bucket:datetime ; first_over_time_of_long_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m bytes=(avg by (cluster) (first_over_time(network.bytes_in[1m]))) | SORT step, cluster | LIMIT 10; @@ -87,7 +87,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; first_over_time_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m tx=(sum by (cluster) (first_over_time(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -160,7 +160,7 @@ max_bytes:double | cluster:keyword | time_bucket:datetime | kb_minus_offse ; eval_on_first_over_time_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m max_bytes=(avg by (cluster) (first_over_time(network.bytes_in[10m]))) | EVAL kb_minus_offset = (max_bytes - 100) / 1000.0 @@ -229,7 +229,7 @@ events:long | pod:keyword | time_bucket:datetime ; first_over_time_all_value_types_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m events=(sum by (pod) (first_over_time(events_received[10m]))) | SORT events DESC, pod, step | LIMIT 10; @@ -267,7 +267,7 @@ sum:double | pod:keyword | time_bucket:datetime ; first_over_time_counter_double_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: first_last_over_time_counter_support PROMQL index=k8s step=10m sum=(sum by (pod) (first_over_time(network.total_cost[10m]))) @@ -306,7 +306,7 @@ max:long | pod:keyword | time_bucket:datetime ; first_over_time_counter_long_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: first_last_over_time_counter_support PROMQL index=k8s step=10m max=(max by (pod) (first_over_time(network.total_bytes_in[10m]))) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-idelta.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-idelta.csv-spec index 886c2e1e87d3e..7e3070fc62925 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-idelta.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-idelta.csv-spec @@ -18,7 +18,7 @@ null | 2024-05-10T00:01:00.000Z ; idelta_of_double_no_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m cost_change=(sum(idelta(network.cost[1m]))) | SORT cost_change DESC, step DESC | LIMIT 10; @@ -54,7 +54,7 @@ null | 2024-05-10T00:01:00.000Z ; idelta_of_integer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg(idelta(network.eth0.currently_connected_clients[1m]))) | SORT step | LIMIT 10; @@ -91,7 +91,7 @@ null | prod | 2024-05-10T00:03:00.000Z ; idelta_of_integer_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg by (cluster) (idelta(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -133,7 +133,7 @@ tx:double | cluster:keyword | time_bucket:datetime ; idelta_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m tx=(sum by (cluster) (idelta(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -187,7 +187,7 @@ avg_bytes:double | cluster:keyword | time_bucket:datetime | kb_minus_offs ; eval_on_idelta_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m avg_bytes=(avg by (cluster) (idelta(network.bytes_in[10m]))) | EVAL kb_minus_offset = (avg_bytes - 100) / 1000.0 @@ -266,7 +266,7 @@ events:double | pod:keyword | time_bucket:datetime ; idelta_all_value_types_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m events=(sum by (pod) (idelta(events_received[10m]))) | SORT events DESC, pod, step | LIMIT 10; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-increase.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-increase.csv-spec index 8bc67beaabb1c..92b10dba3e63c 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-increase.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-increase.csv-spec @@ -21,7 +21,7 @@ increase_bytes_in:double | time_bucket:datetime ; increase_of_long_no_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m increase_bytes_in=(avg(increase(network.total_bytes_in[1m]))) | SORT increase_bytes_in DESC, step DESC | LIMIT 10; @@ -64,7 +64,7 @@ increase_bytes_in:double | cluster:keyword | time_bucket:datetime ; increase_of_long_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=5m increase_bytes_in=(avg by (cluster) (increase(network.total_bytes_in[5m]))) | EVAL increase_bytes_in = ROUND(increase_bytes_in, 6) @@ -108,7 +108,7 @@ increase_cost:double | time_bucket:datetime ; increase_of_double_no_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m increase_cost=(sum(increase(network.total_cost[1m]))) | SORT increase_cost DESC, step | LIMIT 10; @@ -153,7 +153,7 @@ increase_bytes_in:double | cluster:keyword | time_bucket:datetime ; increase_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m increase_bytes_in=(sum by (cluster) (increase(network.total_bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -216,7 +216,7 @@ increase_bytes:double | cluster:keyword | time_bucket:datetime | increase_kb ; eval_on_increase_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m increase_bytes=(avg by (cluster) (increase(network.total_bytes_in[10m]))) | EVAL increase_kb = increase_bytes / 1024.0 @@ -272,7 +272,7 @@ increase_bytes_in:double | time_bucket:datetime ; increase_of_expression_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m increase_bytes_in=(avg(increase(network.total_bytes_in[1m]) + 10)) | SORT increase_bytes_in DESC, step DESC | LIMIT 10; @@ -358,7 +358,7 @@ increase_of_ratio:double | cluster:keyword | time_bucket:datetime ; increase_of_ratio_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m increase_of_ratio=(sum by (cluster) (increase(network.total_cost[10m]) / increase(network.total_bytes_in[10m]))) | SORT step, cluster | LIMIT 10; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-irate.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-irate.csv-spec index e38c5640f9774..82dde685ab7a7 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-irate.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-irate.csv-spec @@ -23,7 +23,7 @@ null | 2024-05-10T00:01:00.000Z ; irate_of_long_no_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m irate_bytes_in=(avg(irate(network.total_bytes_in[1m]))) | SORT irate_bytes_in DESC, step DESC | LIMIT 10; @@ -63,7 +63,7 @@ irate_bytes_in:double | cluster:keyword | time_bucket:datetime ; irate_of_long_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=5m irate_bytes_in=(avg by (cluster) (irate(network.total_bytes_in[5m]))) | SORT irate_bytes_in DESC, step, cluster | LIMIT 10; @@ -102,7 +102,7 @@ null | 2024-05-10T00:01:00.000Z ; irate_of_double_no_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m irate_cost=(sum(irate(network.total_cost[1m]))) | SORT irate_cost DESC, step | LIMIT 10; @@ -145,7 +145,7 @@ irate_bytes_in:double | cluster:keyword | time_bucket:datetime ; irate_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m irate_bytes_in=(sum by (cluster) (irate(network.total_bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -183,7 +183,7 @@ irate_bytes:double | cluster:keyword | time_bucket:datetime | irate_kb:doubl ; eval_on_irate_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m irate_bytes=(avg by (cluster) (irate(network.total_bytes_in[10m]))) | EVAL irate_kb = irate_bytes / 1024.0 @@ -235,7 +235,7 @@ null | 2024-05-10T00:01:00.000Z ; irate_of_expression_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m irate_bytes_in=(avg(irate(network.total_bytes_in[1m]) + 10)) | SORT irate_bytes_in DESC, step DESC | LIMIT 10; @@ -356,7 +356,7 @@ irate_of_ratio:double | cluster:keyword | time_bucket:datetime ; irate_of_ratio_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m irate_of_ratio=(sum by (cluster) (irate(network.total_cost[10m]) / irate(network.total_bytes_in[10m]))) | SORT step, cluster | LIMIT 10; @@ -394,7 +394,7 @@ null | qa | 2024-05-10T00:22:00.000Z ; irate_of_long_grouping_1min_nulls_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=2m irate_bytes_in=(avg by (cluster) (irate(network.total_bytes_in[2m]))) | SORT irate_bytes_in NULLS FIRST, step, cluster | LIMIT 10; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-last-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-last-over-time.csv-spec index 2e148e2ebcf7b..50e69412c5d69 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-last-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-last-over-time.csv-spec @@ -16,7 +16,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; last_over_time_of_integer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg by (cluster) (last_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -52,7 +52,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; implicit_last_over_time_of_integer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg by (cluster) (network.eth0.currently_connected_clients)) | SORT step, cluster | LIMIT 10; @@ -88,7 +88,7 @@ bytes:double | cluster:keyword | time_bucket:datetime ; last_over_time_of_long_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m bytes=(avg by (cluster) (last_over_time(network.bytes_in[1m]))) | SORT step, cluster | LIMIT 10; @@ -124,7 +124,7 @@ bytes:double | cluster:keyword | time_bucket:datetime ; implicit_last_over_time_of_long_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m bytes=(avg by (cluster) (network.bytes_in)) | SORT step, cluster | LIMIT 10; @@ -159,7 +159,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; last_over_time_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m tx=(sum by (cluster) (last_over_time(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -194,7 +194,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; implicit_last_over_time_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m tx=(sum by (cluster) (network.bytes_in{pod="one"})) | SORT step, cluster | LIMIT 10; @@ -228,7 +228,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; implicit_last_over_time_with_inline_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m tx=(sum by (cluster) (network.bytes_in{pod="one"})) | SORT step, cluster | LIMIT 10; @@ -286,7 +286,7 @@ max_bytes:double | cluster:keyword | time_bucket:datetime | kb_minus_offset ; eval_on_last_over_time_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m max_bytes=(avg by (cluster) (last_over_time(network.bytes_in[10m]))) | EVAL kb_minus_offset = (max_bytes - 100) / 1000.0 @@ -372,7 +372,7 @@ null | two | 2024-05-10T00:13:00.000Z ; last_over_time_null_values_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m start="2024-05-10T00:10:00.000Z" end="2024-05-10T00:15:00.000Z" events=(sum by (pod) (last_over_time(events_received[1m]))) | SORT events DESC, pod, step | LIMIT 10; @@ -424,7 +424,7 @@ events:long | pod:keyword | time_bucket:datetime ; last_over_time_all_value_types_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m events=(sum by (pod) (last_over_time(events_received[10m]))) | SORT events DESC, pod, step | LIMIT 10; @@ -479,7 +479,7 @@ sum:double | pod:keyword | time_bucket:datetime ; last_over_time_counter_double_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: first_last_over_time_counter_support PROMQL index=k8s step=10m sum=(sum by (pod) (last_over_time(network.total_cost[10m]))) @@ -518,7 +518,7 @@ max:long | pod:keyword | time_bucket:datetime ; last_over_time_counter_long_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: first_last_over_time_counter_support PROMQL index=k8s step=10m max=(max by (pod) (last_over_time(network.total_bytes_in[10m]))) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-max-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-max-over-time.csv-spec index a8a2fac3e056c..fd30c4c8717ab 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-max-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-max-over-time.csv-spec @@ -18,7 +18,7 @@ cost:double | time_bucket:datetime ; max_over_time_of_double_no_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m cost=(sum(max_over_time(network.cost[1m]))) | SORT cost DESC, step DESC | LIMIT 10; @@ -119,7 +119,7 @@ bytes_in:long | time_bucket:datetime ; max_over_time_of_long_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m bytes_in=(sum(max_over_time(network.bytes_in[1m]))) | SORT bytes_in DESC, step | LIMIT 10; @@ -155,7 +155,7 @@ bytes_in:long | cluster:keyword | time_bucket:datetime ; max_over_time_of_long_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m bytes_in=(sum by (cluster) (max_over_time(network.bytes_in[1m]))) | SORT bytes_in DESC, step | LIMIT 10; @@ -191,7 +191,7 @@ false | 2024-05-10T00:09:00.000Z ; max_over_time_of_boolean_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m eth0_up=(min(max_over_time(network.eth0.up[1m]))) | SORT step | LIMIT 10; @@ -227,7 +227,7 @@ false | staging | 2024-05-10T00:03:00.000Z ; max_over_time_of_boolean_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m eth0_up=(min by (cluster) (max_over_time(network.eth0.up[1m]))) | SORT step, cluster | LIMIT 10; @@ -331,7 +331,7 @@ clients:double | time_bucket:datetime ; max_over_time_of_integer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg(max_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step | LIMIT 10; @@ -367,7 +367,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; max_over_time_of_integer_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg by (cluster) (max_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -438,7 +438,7 @@ false | 2024-05-10T00:09:00.000Z ; max_over_time_of_keyword_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m pod=(min(max_over_time(network.eth0.up[1m]))) | SORT step | LIMIT 10; @@ -474,7 +474,7 @@ false | staging | 2024-05-10T00:03:00.000Z ; max_over_time_of_keyword_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m pod=(min by (cluster) (max_over_time(network.eth0.up[1m]))) | SORT step, cluster | LIMIT 10; @@ -503,7 +503,7 @@ tx:double | time_bucket:datetime ; max_over_time_of_aggregate_metric_double_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum(max_over_time(network.eth0.tx[10m]))) @@ -533,7 +533,7 @@ tx:double | cluster:keyword | time_bucket:datetime ; max_over_time_of_aggregate_metric_double_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum by (cluster) (max_over_time(network.eth0.tx[10m]))) @@ -568,7 +568,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; max_over_time_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m tx=(sum by (cluster) (max_over_time(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -615,7 +615,7 @@ max_bytes:double | cluster:keyword | time_bucket:datetime | kb_minus_offset ; eval_on_max_over_time_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m max_bytes=(avg by (cluster) (max_over_time(network.bytes_in[10m]))) | EVAL kb_minus_offset = (max_bytes - 100) / 1000.0 @@ -653,7 +653,7 @@ events:long | pod:keyword | time_bucket:datetime # PromQL omits buckets with no samples: # https://github.com/prometheus/prometheus/blob/14de1eb043f2b264056a9d1426d5db8c068c3b32/promql/functions.go#L1052 max_over_time_multi_values_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m start="2024-05-10T00:00:00.000Z" end="2024-05-10T00:09:00.000Z" events=(sum by (pod) (max_over_time(events_received[1m]))) | SORT events DESC, step | LIMIT 10; @@ -689,7 +689,7 @@ null | two | 2024-05-10T00:13:00.000Z ; max_over_time_null_values_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m start="2024-05-10T00:10:00.000Z" end="2024-05-10T00:15:00.000Z" events=(sum by (pod) (max_over_time(events_received[1m]))) | SORT events DESC, step | LIMIT 10; @@ -724,7 +724,7 @@ events:long | pod:keyword | time_bucket:datetime ; max_over_time_all_value_types_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m start="2024-05-09T23:20:00.000Z" end="2024-05-10T00:20:00.000Z" events=(sum by (pod) (max_over_time(events_received[10m]))) | SORT step, pod | LIMIT 10; @@ -754,7 +754,7 @@ bytes:double | time_bucket:datetime # Awaits fix: https://github.com/elastic/metrics-program/issues/302 max_over_time_aggregate_metric_double_implicit_casting_promql-Ignore -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum(max_over_time(network.eth0.rx[10m]))) @@ -789,7 +789,7 @@ bytes:double | pod:keyword | time_bucket:datetime # Awaits fix: https://github.com/elastic/metrics-program/issues/302 max_over_time_aggregate_metric_double_implicit_casting_grouping_promql-Ignore -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum by (pod) (max_over_time(network.eth0.rx[10m]))) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-min-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-min-over-time.csv-spec index d1d2013720b62..864f1c67d1b14 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-min-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-min-over-time.csv-spec @@ -17,7 +17,7 @@ cost:double | time_bucket:datetime ; min_over_time_of_double_no_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m cost=(sum(min_over_time(network.cost[1m]))) | SORT cost DESC, step DESC | LIMIT 10; @@ -87,7 +87,7 @@ bytes_in:long | time_bucket:datetime ; min_over_time_of_long_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m bytes_in=(sum(min_over_time(network.bytes_in[1m]))) | SORT bytes_in DESC, step | LIMIT 10; @@ -138,7 +138,7 @@ bytes_in:long | time_bucket:datetime ; min_over_time_with_window_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: time_series_window_v1 PROMQL index=k8s step=1m bytes_in=(sum(min_over_time(network.bytes_in[3m]))) @@ -185,7 +185,7 @@ bytes_in:long | cluster:keyword | time_bucket:datetime ; min_over_time_of_long_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m bytes_in=(sum by (cluster) (min_over_time(network.bytes_in[1m]))) | SORT bytes_in DESC, step | LIMIT 10; @@ -214,7 +214,7 @@ true | 2024-05-10T00:20:00.000Z ; min_over_time_of_boolean_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m eth0_up=(max(min_over_time(network.eth0.up[10m]))) | SORT step | LIMIT 10; @@ -243,7 +243,7 @@ false | staging | 2024-05-10T00:03:00.000Z ; min_over_time_of_boolean_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m eth0_up=(min by (cluster) (min_over_time(network.eth0.up[1m]))) | SORT step, cluster | LIMIT 10; @@ -347,7 +347,7 @@ clients:double | time_bucket:datetime ; min_over_time_of_integer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg(min_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step | LIMIT 10; @@ -383,7 +383,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; min_over_time_of_integer_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg by (cluster) (min_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -453,7 +453,7 @@ false | 2024-05-10T00:09:00.000Z ; min_over_time_of_keyword_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m pod=(min(min_over_time(network.eth0.up[1m]))) | SORT step | LIMIT 10; @@ -489,7 +489,7 @@ false | staging | 2024-05-10T00:03:00.000Z ; min_over_time_of_keyword_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m pod=(min by (cluster) (min_over_time(network.eth0.up[1m]))) | SORT step, cluster | LIMIT 10; @@ -519,7 +519,7 @@ tx:double | time_bucket:datetime ; min_over_time_of_aggregate_metric_double_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum(min_over_time(network.eth0.tx[10m]))) @@ -549,7 +549,7 @@ tx:double | cluster:keyword | time_bucket:datetime ; min_over_time_of_aggregate_metric_double_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum by (cluster) (min_over_time(network.eth0.tx[10m]))) @@ -584,7 +584,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; min_over_time_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m tx=(sum by (cluster) (min_over_time(network.bytes_in{pod!="three"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -631,7 +631,7 @@ min_bytes:long | pod:keyword | time_bucket:datetime | kb:double ; eval_on_min_over_time_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m min_bytes=(sum by (pod) (min_over_time(network.bytes_in[10m]))) | EVAL kb = min_bytes / 1000.0 @@ -667,7 +667,7 @@ events:long | pod:keyword | time_bucket:datetime ; min_over_time_multi_values_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m start="2024-05-10T00:00:00.000Z" end="2024-05-10T00:09:00.000Z" events=(sum by (pod) (min_over_time(events_received[1m]))) | SORT events, step | LIMIT 10; @@ -705,7 +705,7 @@ null | two | 2024-05-10T00:13:00.000Z # PromQL omits buckets with no samples: # https://github.com/prometheus/prometheus/blob/14de1eb043f2b264056a9d1426d5db8c068c3b32/promql/functions.go#L1052 min_over_time_null_values_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m start="2024-05-10T00:10:00.000Z" end="2024-05-10T00:15:00.000Z" events=(sum by (pod) (min_over_time(events_received[1m]))) | SORT events, step | LIMIT 10; @@ -740,7 +740,7 @@ events:long | pod:keyword | time_bucket:datetime ; min_over_time_all_value_types_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m events=(sum by (pod) (min_over_time(events_received[10m]))) | SORT events, pod, step | LIMIT 10; @@ -773,7 +773,7 @@ bytes:double | time_bucket:datetime # Awaits fix: index wildcard selector not yet available for PromQL. min_over_time_aggregate_metric_double_implicit_casting_promql-Ignore -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum by (pod) (min_over_time(network.eth0.rx[10m]))) @@ -812,7 +812,7 @@ bytes:double | pod:keyword | time_bucket:datetime # Awaits fix: index wildcard selector not yet available for PromQL. min_over_time_aggregate_metric_double_implicit_casting_grouping_promql-Ignore -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum by (pod) (min_over_time(network.eth0.rx[10m]))) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-present-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-present-over-time.csv-spec index cac0d697f4193..9069214295a5b 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-present-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-present-over-time.csv-spec @@ -21,7 +21,7 @@ true | two | 2024-05-10T00:22:00.000Z ; present_over_time_events_received_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=2m start="2024-05-10T00:02:00.000Z" end="2024-05-10T00:22:00.000Z" events_received=(max by (pod) (present_over_time(events_received{cluster="prod",pod="two"}[2m]))) | SORT step; @@ -56,7 +56,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_long_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.bytes_in[10m]))) | SORT cluster, step | LIMIT 10; @@ -90,7 +90,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_boolean_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.eth0.up[10m]))) | SORT step, cluster | LIMIT 10; @@ -124,7 +124,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_date_nanos_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.eth0.last_up[10m]))) | SORT step, cluster | LIMIT 10; @@ -158,7 +158,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_date_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.eth0.last_up[10m]))) | SORT step, cluster | LIMIT 10; @@ -192,7 +192,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_version_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.eth0.firmware_version[10m]))) | SORT step, cluster | LIMIT 10; @@ -226,7 +226,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_integer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.eth0.currently_connected_clients[10m]))) | SORT step, cluster | LIMIT 10; @@ -260,7 +260,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_text_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(event_log[10m]))) | SORT cluster, step | LIMIT 10; @@ -294,7 +294,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_keyword_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.eth0.up[10m]))) | SORT step, cluster | LIMIT 10; @@ -329,7 +329,7 @@ true | staging | 2024-05-09T23:50:00.000Z ; present_over_time_of_aggregate_metric_double_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m is_present=(max by (cluster) (present_over_time(network.eth0.tx[10m]))) @@ -364,7 +364,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_geopoint_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(event_city[10m]))) | SORT step, cluster | LIMIT 10; @@ -398,7 +398,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_geoshape_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(event_city_boundary[10m]))) | SORT step, cluster | LIMIT 10; @@ -432,7 +432,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_shape_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(event_shape[10m]))) | SORT step, cluster | LIMIT 10; @@ -466,7 +466,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_of_point_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(event_location[10m]))) | SORT step, cluster | LIMIT 10; @@ -500,7 +500,7 @@ true | staging | 2024-05-10T00:20:00.000Z ; present_over_time_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (cluster) (present_over_time(network.bytes_in{pod!="three"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -547,7 +547,7 @@ true | two | 2024-05-10T00:20:00.000Z | 1 ; eval_on_present_over_time_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m is_present=(max by (pod) (present_over_time(network.bytes_in[10m]))) | EVAL int = to_integer(is_present) @@ -588,7 +588,7 @@ events_received:integer | pod:keyword | time_bucket:datetime ; present_over_time_events_received_as_integer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=2m start="2024-05-10T00:02:00.000Z" end="2024-05-10T00:22:00.000Z" events_received=(max by (pod) (present_over_time(events_received{cluster="prod",pod="two"}[2m]))) | SORT step; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec index c2b00a4182fed..840de5b12f781 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec @@ -3,7 +3,7 @@ // This makes it easy to verify that PromQL and TS produce the same results for the same functionality where applicable // and helps to ensure we have the same test coverage for PromQL vs TS|STATS. promql_start_end_step -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=5m start="2024-05-10T00:20:00.000Z" end="2024-05-10T00:25:00.000Z" ( sum(avg_over_time(network.cost[5m])) ); @@ -13,7 +13,7 @@ sum(avg_over_time(network.cost[5m])):double | step:date ; no_parentheses -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=5m start="2024-05-10T00:20:00.000Z" end="2024-05-10T00:25:00.000Z" sum(avg_over_time(network.cost[5m])); sum(avg_over_time(network.cost[5m])):double | step:date @@ -21,7 +21,7 @@ sum(avg_over_time(network.cost[5m])):double | step:date ; not_equals_filter -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h cost=(max by (cluster) (network.total_bytes_in{cluster!="prod"})) | SORT cluster; @@ -31,7 +31,7 @@ cost:double | step:datetime | cluster:keyword ; equals_filter -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h cost=(max by (cluster) (network.total_bytes_in{cluster="prod"})) | SORT cluster; @@ -40,7 +40,7 @@ cost:double | step:datetime | cluster:keyword ; equals_filter_case_sensitive -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h cost=(max by (cluster) (network.total_bytes_in{cluster="PROD"})) | SORT cluster; @@ -48,7 +48,7 @@ cost:double | step:datetime | cluster:keyword ; not_regex_filter -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h cost=(max by (cluster) (network.total_bytes_in{cluster!~"pr.d"})) | SORT cluster; @@ -58,7 +58,7 @@ cost:double | step:datetime | cluster:keyword ; regex_filter -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h cost=(max by (cluster) (network.total_bytes_in{cluster=~"pr.d"})) | SORT cluster; @@ -67,7 +67,7 @@ cost:double | step:datetime | cluster:keyword ; filter_same_label_multiple_times -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h cost=(max by (cluster) (network.total_bytes_in{cluster!="prod",cluster!="qa"})); cost:double | step:datetime | cluster:keyword @@ -75,7 +75,7 @@ cost:double | step:datetime | cluster:keyword ; range_selector_different_from_step -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: time_series_window_v1 PROMQL index=k8s step=5m start="2024-05-10T00:10:00.000Z" end="2024-05-10T00:15:00.000Z" sum by (pod) (avg_over_time(events_received[10m])) | SORT pod @@ -89,7 +89,7 @@ sum by (pod) (avg_over_time(events_received[10m])):double | step:datetime // value transformation functions ceil -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h ceil=(ceil(sum(avg_over_time(network.cost[1h])) by (cluster))) | SORT cluster; @@ -100,7 +100,7 @@ ceil:double | step:datetime | cluster:keyword ; ceil_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h ceil_scalar=(ceil(vector(3.14159))); ceil_scalar:double | step:datetime @@ -108,7 +108,7 @@ ceil_scalar:double | step:datetime ; abs_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h abs_scalar=(abs(vector(-3.14159))); abs_scalar:double | step:datetime @@ -116,7 +116,7 @@ abs_scalar:double | step:datetime ; exp_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h exp_scalar=(exp(vector(0.0))); exp_scalar:double | step:datetime @@ -124,7 +124,7 @@ exp_scalar:double | step:datetime ; sqrt_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h sqrt_scalar=(sqrt(vector(4.0))); sqrt_scalar:double | step:datetime @@ -132,7 +132,7 @@ sqrt_scalar:double | step:datetime ; log10_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h log10_scalar=(log10(vector(100.0))); log10_scalar:double | step:datetime @@ -140,7 +140,7 @@ log10_scalar:double | step:datetime ; floor_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h floor_scalar=(floor(vector(3.14159))); floor_scalar:double | step:datetime @@ -148,7 +148,7 @@ floor_scalar:double | step:datetime ; asin_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(asin(vector(0.0))); result:double | step:datetime @@ -156,7 +156,7 @@ result:double | step:datetime ; acos_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(acos(vector(1.0))); result:double | step:datetime @@ -164,7 +164,7 @@ result:double | step:datetime ; atan_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(atan(vector(0.0))); result:double | step:datetime @@ -172,7 +172,7 @@ result:double | step:datetime ; cos_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(cos(vector(0.0))); result:double | step:datetime @@ -180,7 +180,7 @@ result:double | step:datetime ; cosh_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(cosh(vector(0.0))); result:double | step:datetime @@ -188,7 +188,7 @@ result:double | step:datetime ; sinh_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(sinh(vector(0.0))); result:double | step:datetime @@ -196,7 +196,7 @@ result:double | step:datetime ; sin_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(sin(vector(0.0))); result:double | step:datetime @@ -204,7 +204,7 @@ result:double | step:datetime ; tan_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(tan(vector(0.0))); result:double | step:datetime @@ -212,7 +212,7 @@ result:double | step:datetime ; tanh_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(tanh(vector(0.0))); result:double | step:datetime @@ -220,7 +220,7 @@ result:double | step:datetime ; clamp_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(clamp(vector(5.0), 0, 10)); result:double | step:datetime @@ -228,7 +228,7 @@ result:double | step:datetime ; clamp_scalar_below_min -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(clamp(vector(-5.0), 0, 10)); result:double | step:datetime @@ -236,7 +236,7 @@ result:double | step:datetime ; clamp_scalar_above_max -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(clamp(vector(15.0), 0, 10)); result:double | step:datetime @@ -244,7 +244,7 @@ result:double | step:datetime ; clamp_min_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(clamp_min(vector(-5.0), 0)); result:double | step:datetime @@ -252,7 +252,7 @@ result:double | step:datetime ; clamp_min_scalar_above -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(clamp_min(vector(5.0), 0)); result:double | step:datetime @@ -260,7 +260,7 @@ result:double | step:datetime ; clamp_max_scalar -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(clamp_max(vector(15.0), 10)); result:double | step:datetime @@ -268,7 +268,7 @@ result:double | step:datetime ; clamp_max_scalar_below -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h result=(clamp_max(vector(5.0), 10)); result:double | step:datetime diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-rate.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-rate.csv-spec index fc8800778a521..68ff2da53e3b1 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-rate.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-rate.csv-spec @@ -21,7 +21,7 @@ rate_bytes_in:double | time_bucket:datetime ; rate_of_long_no_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m rate_bytes_in=(avg(rate(network.total_bytes_in[1m]))) | EVAL rate_bytes_in=ROUND(rate_bytes_in, 6), step=step @@ -63,7 +63,7 @@ rate_bytes_in:double | cluster:keyword | time_bucket:datetime ; rate_of_long_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=5m rate_bytes_in=(avg by (cluster) (rate(network.total_bytes_in[5m]))) | EVAL rate_bytes_in=ROUND(rate_bytes_in, 6), step=step, cluster=cluster @@ -138,7 +138,7 @@ rate_cost:double | time_bucket:datetime ; rate_of_double_no_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m rate_cost=(sum(rate(network.total_cost[1m]))) | EVAL rate_cost=ROUND(rate_cost, 6), step=step @@ -179,7 +179,7 @@ rate_bytes_in:double | cluster:keyword | time_bucket:datetime ; rate_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m rate_bytes_in=(sum by (cluster) (rate(network.total_bytes_in{pod="one"}[10m]))) | EVAL rate_bytes_in=ROUND(rate_bytes_in, 6), step=step, cluster=cluster @@ -259,7 +259,7 @@ sum_bytes:double | max_bytes:double | min_bytes:double | avg_bytes:double | time ; rate_of_aggregate_metric_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=30m avg_bytes=(avg(rate(network.total_bytes_in[30m]))) @@ -428,7 +428,7 @@ rate_bytes_in:double | cluster:keyword | time_bucket:datetime ; trange_absolute_with_rate_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=2m start="2024-05-10T00:15:00.000Z" end="2024-05-10T00:25:00.000Z" rate_bytes_in=(avg by (cluster) (rate(network.total_bytes_in[2m]))) | EVAL rate_bytes_in=ROUND(rate_bytes_in, 6), step=step, cluster=cluster diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-sum-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-sum-over-time.csv-spec index 89e6a3d76173e..19d47992369b9 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-sum-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-sum-over-time.csv-spec @@ -18,7 +18,7 @@ cost:double | time_bucket:datetime ; sum_over_time_of_double_no_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m cost=(sum(sum_over_time(network.cost[1m]))) | SORT cost DESC, step DESC | LIMIT 10; @@ -54,7 +54,7 @@ clients:double | time_bucket:datetime ; sum_over_time_of_integer_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg(sum_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step | LIMIT 10; @@ -90,7 +90,7 @@ clients:double | cluster:keyword | time_bucket:datetime ; sum_over_time_of_integer_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m clients=(avg by (cluster) (sum_over_time(network.eth0.currently_connected_clients[1m]))) | SORT step, cluster | LIMIT 10; @@ -120,7 +120,7 @@ tx:double | time_bucket:datetime ; sum_over_time_of_aggregate_metric_double_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum(sum_over_time(network.eth0.tx[10m]))) @@ -150,7 +150,7 @@ tx:double | cluster:keyword | time_bucket:datetime ; sum_over_time_of_aggregate_metric_double_grouping_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m tx=(sum by (cluster) (sum_over_time(network.eth0.tx[10m]))) @@ -185,7 +185,7 @@ tx:long | cluster:keyword | time_bucket:datetime ; sum_over_time_with_filtering_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m tx=(sum by (cluster) (sum_over_time(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster | LIMIT 10; @@ -232,7 +232,7 @@ tx:long | cluster:keyword | time_bucket:datetime sum_over_time_with_window_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=5m tx=(sum by (cluster) (sum_over_time(network.bytes_in{pod="one"}[10m]))) | SORT step, cluster @@ -270,7 +270,7 @@ cost:double | pod:keyword | time_bucket:datetime ; sum_over_time_older_than_10d_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s-downsampled step=10m start="2024-05-09T23:00:00.000Z" end="2024-05-10T00:00:00.000Z" cost=(avg by (pod) (sum_over_time(network.eth0.rx{cluster="qa"}[10m]))) @@ -302,7 +302,7 @@ max_bytes:double | cluster:keyword | time_bucket:datetime | kb_minus_offse # Awaits fix: Arithmetic on instant vector is not supported at this time. eval_on_sum_over_time_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m max_bytes=(avg by (cluster) (sum_over_time(network.bytes_in[10m]))) | EVAL kb_minus_offset = (max_bytes - 100) / 1000.0 @@ -338,7 +338,7 @@ events:long | pod:keyword | time_bucket:datetime ; sum_over_time_multi_values_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m start="2024-05-10T00:00:00.000Z" end="2024-05-10T00:10:00.000Z" events=(sum by (pod) (sum_over_time(events_received[1m]))) | SORT events desc, step, pod | LIMIT 10; @@ -374,7 +374,7 @@ null | two | 2024-05-10T00:13:00.000Z ; sum_over_time_null_values_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m start="2024-05-10T00:10:00.000Z" end="2024-05-10T00:15:00.000Z" events=(sum by (pod) (sum_over_time(events_received[1m]))) | SORT events desc, step, pod | LIMIT 10; @@ -409,7 +409,7 @@ events:long | pod:keyword | time_bucket:datetime ; sum_over_time_all_value_types_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=10m events=(sum by (pod) (sum_over_time(events_received[10m]))) | SORT events desc, pod, step | LIMIT 10; @@ -442,7 +442,7 @@ bytes:double | time_bucket:datetime # Awaits fix: Index wildcard selector is not supported at this time. sum_over_time_aggregate_metric_double_implicit_casting_promql-Ignore -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum(sum_over_time(network.eth0.rx[10m]))) @@ -477,7 +477,7 @@ bytes:double | pod:keyword | time_bucket:datetime # Awaits fix: Index wildcard selector is not supported at this time. sum_over_time_aggregate_metric_double_implicit_casting_grouping_promql-Ignore -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: aggregate_metric_double_v0 PROMQL index=k8s* step=10m bytes=(sum by (pod) (sum_over_time(network.eth0.rx[10m]))) @@ -510,7 +510,7 @@ sum:long | pod:keyword | time_bucket:datetime # Awaits fix: Subqueries are not supported at this time. sum_over_time_nested_expression_promql-Ignore -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1m sum=(sum by (pod) (sum_over_time((network.eth0.rx % 2)[1m:]))) | SORT sum desc, step, pod | LIMIT 5; @@ -537,7 +537,7 @@ min:long | time_bucket:datetime ; sum_over_time_nested_expression_in_grouping_with_alias_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=5m min=(min(sum_over_time(network.bytes_in[5m]))) | SORT step | LIMIT 10; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries.csv-spec index 8f35a7074a3ae..05e651610753e 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries.csv-spec @@ -139,7 +139,7 @@ max_rate: double | time_bucket:date ; oneRateWithPromql -required_capability: promql_tech_preview +required_capability: promql_command_v0 required_capability: rate_with_interpolation_v2 PROMQL index=k8s step=5m max(rate(network.total_bytes_in[5m])) @@ -163,7 +163,7 @@ max_rate: double | time_bucket:date ; oneRateWithSingleStepPromql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h max(rate(network.total_bytes_in[1h])); max(rate(network.total_bytes_in[1h])):double | step:datetime @@ -752,7 +752,7 @@ maxRate:double | tbucket:datetime ; instant_selector_dimensions_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h network.cost | SORT network.cost DESC @@ -818,7 +818,7 @@ count:long | _timeseries:keyword ; bare_count_over_time_with_tbucket_outputs_dimensions_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h count=(count_over_time(network.cost[1h])) | SORT count DESC @@ -862,7 +862,7 @@ network.cost:double | _timeseries:keyword ; bare_metric_with_tbucket_outputs_dimensions_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h network.cost | SORT network.cost DESC ; @@ -927,7 +927,7 @@ avg:double | _timeseries:keyword ; bare_avg_over_time_with_tbucket_outputs_dimensions_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h avg=(avg_over_time(network.cost[1h])) | SORT avg DESC @@ -993,7 +993,7 @@ sum:double | _timeseries:keyword ; bare_sum_over_time_with_tbucket_outputs_dimensions_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h sum=(sum_over_time(network.cost[1h])) | SORT sum DESC @@ -1038,7 +1038,7 @@ _timeseries:keyword | tbucket: ; bare_rate_with_tbucket_outputs_dimensions_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=1h rate=(rate(network.total_bytes_in[1h])) | EVAL rate=ROUND(rate, 3) @@ -1216,7 +1216,7 @@ max_deriv:double | max_rate:double | time_bucket:date_nanos | cluster:keyword ; derivative_of_gauge_metric_promql -required_capability: promql_tech_preview +required_capability: promql_command_v0 PROMQL index=k8s step=5m max_deriv=(max by (pod) (deriv(network.cost{pod="three"}[5m]))) | SORT step diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java index 96cf05008a4e9..fb3f7cc9eb202 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java @@ -1809,14 +1809,9 @@ public enum Cap { LIKE_PARAMETER_SUPPORT, /** - * PromQL support in ESQL, in the state it was when first released as tech preview. + * PromQL support in ESQL, in the state it was when first available in non-snapshot builds. */ - PROMQL_TECH_PREVIEW, - - /** - * PromQL clamp, clamp_min, and clamp_max functions support. - */ - PROMQL_TECH_PREVIEW(Build.current().isSnapshot()), + PROMQL_COMMAND_V0, /** * KNN function adds support for k and visit_percentage options diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java index 7f59f3872091b..40f4fa896b042 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java @@ -303,7 +303,7 @@ public final void test() throws Throwable { ); assumeFalse( "can't load metrics in csv tests", - testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.PROMQL_TECH_PREVIEW.capabilityName()) + testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.PROMQL_COMMAND_V0.capabilityName()) ); assumeFalse( "can't use QSTR function in csv tests", @@ -359,7 +359,7 @@ public final void test() throws Throwable { ); assumeFalse( "can't use PromQL in csv tests", - testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.PROMQL_TECH_PREVIEW.capabilityName()) + testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.PROMQL_COMMAND_V0.capabilityName()) ); if (Build.current().isSnapshot()) { diff --git a/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/40_tsdb.yml b/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/40_tsdb.yml index 9d8135506a472..3ade18a4e92c7 100644 --- a/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/40_tsdb.yml +++ b/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/40_tsdb.yml @@ -901,7 +901,7 @@ PromQL rate on counter field: - method: POST path: /_query parameters: [] - capabilities: [promql_tech_preview] + capabilities: [promql_command_v0] reason: "PromQL support" - do: esql.query: @@ -924,7 +924,7 @@ PromQL irate on counter field: - method: POST path: /_query parameters: [] - capabilities: [promql_tech_preview] + capabilities: [promql_command_v0] reason: "PromQL support" - do: esql.query: @@ -947,7 +947,7 @@ PromQL increase on counter field: - method: POST path: /_query parameters: [] - capabilities: [promql_tech_preview] + capabilities: [promql_command_v0] reason: "PromQL support" - do: esql.query: @@ -970,7 +970,7 @@ PromQL max_over_time: - method: POST path: /_query parameters: [] - capabilities: [promql_tech_preview] + capabilities: [promql_command_v0] reason: "PromQL support" - do: esql.query: @@ -992,7 +992,7 @@ PromQL sum_over_time with grouping: - method: POST path: /_query parameters: [] - capabilities: [promql_tech_preview] + capabilities: [promql_command_v0] reason: "PromQL support" - do: esql.query: @@ -1019,7 +1019,7 @@ PromQL avg aggregation: - method: POST path: /_query parameters: [] - capabilities: [promql_tech_preview] + capabilities: [promql_command_v0] reason: "PromQL support" - do: esql.query: diff --git a/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/60_usage.yml b/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/60_usage.yml index f9a280b6893cb..2cf7f84102b55 100644 --- a/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/60_usage.yml +++ b/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/60_usage.yml @@ -58,7 +58,7 @@ setup: - ts_command_v0 - cosine_vector_similarity_function - inline_stats - - promql_tech_preview + - promql_command_v0 reason: "Test that should only be executed on snapshot versions" - do: { xpack.usage: { } } @@ -216,7 +216,7 @@ setup: - method: POST path: /_query parameters: [ ] - capabilities: [ non_snapshot_test_for_telemetry_v2, fn_contains, promql_tech_preview ] + capabilities: [ non_snapshot_test_for_telemetry_v2, fn_contains, promql_command_v0 ] reason: "Test that should only be executed on release versions" - do: { xpack.usage: { } } From dc42bf16a8d0f242fa786bd2be97f7cd8ac275c9 Mon Sep 17 00:00:00 2001 From: Felix Barnsteiner Date: Wed, 21 Jan 2026 07:50:33 +0100 Subject: [PATCH 8/9] Remove duplicate assumption --- .../src/test/java/org/elasticsearch/xpack/esql/CsvTests.java | 5 ----- 1 file changed, 5 deletions(-) diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java index 40f4fa896b042..72765ec555dff 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/CsvTests.java @@ -357,11 +357,6 @@ public final void test() throws Throwable { "CSV tests cannot currently handle subqueries", testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.SUBQUERY_IN_FROM_COMMAND.capabilityName()) ); - assumeFalse( - "can't use PromQL in csv tests", - testCase.requiredCapabilities.contains(EsqlCapabilities.Cap.PROMQL_COMMAND_V0.capabilityName()) - ); - if (Build.current().isSnapshot()) { assertThat( "Capability is not included in the enabled list capabilities on a snapshot build. Spelling mistake?", From 645b58bdd44ac2649751ce288eb712c84714d8ef Mon Sep 17 00:00:00 2001 From: Felix Barnsteiner Date: Wed, 21 Jan 2026 16:20:23 +0100 Subject: [PATCH 9/9] Fold PROMQL_QUANTILE capability --- .../src/main/resources/k8s-timeseries-promql.csv-spec | 3 +-- .../org/elasticsearch/xpack/esql/action/EsqlCapabilities.java | 2 -- 2 files changed, 1 insertion(+), 4 deletions(-) diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec index cd6fc7a4a3a1b..05072d24ecc0c 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-promql.csv-spec @@ -276,8 +276,7 @@ result:double | step:datetime ; quantile -required_capability: promql_pre_tech_preview_v14 -required_capability: promql_quantile +required_capability: promql_command_v0 PROMQL index=k8s step=1h quantile=(round(quantile by (cluster) (0.5, quantile_over_time(0.5, network.bytes_in[1h])), 0.001)) | SORT cluster; diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java index a3ab87a2223b7..e9ce6b5b6bc1a 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java @@ -1813,8 +1813,6 @@ public enum Cap { */ PROMQL_COMMAND_V0, - PROMQL_QUANTILE(PROMQL_PRE_TECH_PREVIEW_V14.isEnabled()), - /** * KNN function adds support for k and visit_percentage options */