@@ -41,15 +41,15 @@ def get_table(self, table_id):
4141
4242class BigtableTable :
4343 """Entry point for reading data from Cloud Bigtable. This object represents
44- a Bigtable Table and provides basic methods for reading from it.
44+ a Bigtable Table and provides basic methods for reading from it.
4545 """
4646
4747 def __init__ (self , client_resource : tf .Tensor , table_id : str ):
4848 """
49- Args:
50- client_resource: Resource holding a reference to BigtableClient.
51- table_id (str): The ID of the table.
52- """
49+ Args:
50+ client_resource: Resource holding a reference to BigtableClient.
51+ table_id (str): The ID of the table.
52+ """
5353 self ._table_id = table_id
5454 self ._client_resource = client_resource
5555
@@ -65,7 +65,7 @@ def read_rows(
6565 columns (List[str]): the list of columns to read from; the order on
6666 this list will determine the order in the output tensors
6767 row_set (RowSet): set of rows to read.
68-
68+
6969 Returns:
7070 A `tf.data.Dataset` returning the cell contents.
7171 """
@@ -88,15 +88,15 @@ def parallel_read_rows(
8888 filter : filters .BigtableFilter = filters .latest (),
8989 output_type = tf .string ,
9090 ):
91- """Retrieves values from Google Bigtable in parallel. The ammount of work
91+ """Retrieves values from Google Bigtable in parallel. The ammount of work
9292 is split between workers based on SampleRowKeys. Keep in mind that when
9393 reading in parallel, rows are not read in any particular order.
9494 Args:
9595 columns (List[str]): the list of columns to read from; the order on
9696 this list will determine the order in the output tensors
9797 num_parallel_calls: number of workers assigned to reading the data.
9898 row_set (RowSet): set of rows to read.
99-
99+
100100 Returns:
101101 A `tf.data.Dataset` returning the cell contents.
102102 """
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