From cbb5c7433dc036cf649b24a19b7f33e56b041785 Mon Sep 17 00:00:00 2001
From: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Date: Mon, 14 Aug 2023 07:13:57 +0000
Subject: [PATCH 1/2] updating DIRECTORY.md

---
 DIRECTORY.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/DIRECTORY.md b/DIRECTORY.md
index cdcd1a8ae8cc..81cc51e2a405 100644
--- a/DIRECTORY.md
+++ b/DIRECTORY.md
@@ -336,9 +336,11 @@
   * [Minimum Tickets Cost](dynamic_programming/minimum_tickets_cost.py)
   * [Optimal Binary Search Tree](dynamic_programming/optimal_binary_search_tree.py)
   * [Palindrome Partitioning](dynamic_programming/palindrome_partitioning.py)
+  * [Regex Match](dynamic_programming/regex_match.py)
   * [Rod Cutting](dynamic_programming/rod_cutting.py)
   * [Subset Generation](dynamic_programming/subset_generation.py)
   * [Sum Of Subset](dynamic_programming/sum_of_subset.py)
+  * [Tribonacci](dynamic_programming/tribonacci.py)
   * [Viterbi](dynamic_programming/viterbi.py)
   * [Word Break](dynamic_programming/word_break.py)
 

From 1d55679befd78907f78a2bd19e17464c25540681 Mon Sep 17 00:00:00 2001
From: p1utoze <1ds21ai001@dsce.edu.in>
Date: Mon, 14 Aug 2023 13:17:21 +0530
Subject: [PATCH 2/2] Fixed pyTest Warnings

---
 machine_learning/forecasting/run.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/machine_learning/forecasting/run.py b/machine_learning/forecasting/run.py
index 88c4a537b302..64e719daacc2 100644
--- a/machine_learning/forecasting/run.py
+++ b/machine_learning/forecasting/run.py
@@ -11,6 +11,8 @@
          u can just adjust it for ur own purpose
 """
 
+from warnings import simplefilter
+
 import numpy as np
 import pandas as pd
 from sklearn.preprocessing import Normalizer
@@ -45,8 +47,10 @@ def sarimax_predictor(train_user: list, train_match: list, test_match: list) ->
     >>> sarimax_predictor([4,2,6,8], [3,1,2,4], [2])
     6.6666671111109626
     """
+    # Suppress the User Warning raised by SARIMAX due to insufficient observations
+    simplefilter("ignore", UserWarning)
     order = (1, 2, 1)
-    seasonal_order = (1, 1, 0, 7)
+    seasonal_order = (1, 1, 1, 7)
     model = SARIMAX(
         train_user, exog=train_match, order=order, seasonal_order=seasonal_order
     )