From 5837bcb4a8e0841be4c98ee8a163b51913008ca3 Mon Sep 17 00:00:00 2001
From: TheoCadene <129187267+TheoCadene@users.noreply.github.com>
Date: Tue, 16 Dec 2025 17:06:09 +0100
Subject: [PATCH 1/3] UP my solution

---
 numpy_questions.py | 19 +++++++++++++++----
 requirements.txt   |  1 +
 2 files changed, 16 insertions(+), 4 deletions(-)

diff --git a/numpy_questions.py b/numpy_questions.py
index 07a10c1..167269f 100644
--- a/numpy_questions.py
+++ b/numpy_questions.py
@@ -40,7 +40,13 @@ def max_index(X):
     i = 0
     j = 0
 
-    # TODO
+    if not isinstance(X, np.ndarray):
+        raise ValueError("Input must be a numpy array")
+    
+    if X.ndim != 2:
+        raise ValueError("Input must be a 2D array.") 
+    
+    i, j = np.unravel_index(np.argmax(X), X.shape)
 
     return i, j
 
@@ -62,6 +68,11 @@ def wallis_product(n_terms):
     pi : float
         The approximation of order `n_terms` of pi using the Wallis product.
     """
-    # XXX : The n_terms is an int that corresponds to the number of
-    # terms in the product. For example 10000.
-    return 0.
+    if n_terms < 0:
+        raise ValueError("n_terms must be a non-negative integer.")
+
+    product = 1.0
+    for i in range(1, n_terms + 1):
+        product *= (4.0 * i * i) / (4.0 * i * i - 1.0)
+
+    return 2.0 * product
diff --git a/requirements.txt b/requirements.txt
index d850dbf..c6c4cdf 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,3 +2,4 @@ numpy
 scipy
 scikit-learn
 pandas
+pytest
\ No newline at end of file

From 4358ffe5e64eaee3002e41b5e2adf31bc459406f Mon Sep 17 00:00:00 2001
From: TheoCadene <129187267+TheoCadene@users.noreply.github.com>
Date: Wed, 17 Dec 2025 13:50:13 +0100
Subject: [PATCH 2/3] UP my solution

---
 numpy_questions.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/numpy_questions.py b/numpy_questions.py
index 167269f..cf7ffc0 100644
--- a/numpy_questions.py
+++ b/numpy_questions.py
@@ -42,10 +42,10 @@ def max_index(X):
 
     if not isinstance(X, np.ndarray):
         raise ValueError("Input must be a numpy array")
-    
+
     if X.ndim != 2:
-        raise ValueError("Input must be a 2D array.") 
-    
+        raise ValueError("Input must be a 2D array.")
+
     i, j = np.unravel_index(np.argmax(X), X.shape)
 
     return i, j

From 5f76a7f49e22bf69c7735215cabcc0841c4ed9fa Mon Sep 17 00:00:00 2001
From: TheoCadene <129187267+TheoCadene@users.noreply.github.com>
Date: Fri, 19 Dec 2025 14:16:05 +0100
Subject: [PATCH 3/3] trigger