Adding all project files

venv/Lib/site-packages/pandas/tests/indexing/test_iat.py

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+import numpy as np
+
+from pandas import (
+    DataFrame,
+    Series,
+    period_range,
+)
+import pandas._testing as tm
+
+
+def test_iat(float_frame):
+    for i, row in enumerate(float_frame.index):
+        for j, col in enumerate(float_frame.columns):
+            result = float_frame.iat[i, j]
+            expected = float_frame.at[row, col]
+            assert result == expected
+
+
+def test_iat_duplicate_columns():
+    # https://github.com/pandas-dev/pandas/issues/11754
+    df = DataFrame([[1, 2]], columns=["x", "x"])
+    assert df.iat[0, 0] == 1
+
+
+def test_iat_getitem_series_with_period_index():
+    # GH#4390, iat incorrectly indexing
+    index = period_range("1/1/2001", periods=10)
+    ser = Series(np.random.default_rng(2).standard_normal(10), index=index)
+    expected = ser[index[0]]
+    result = ser.iat[0]
+    assert expected == result
+
+
+def test_iat_setitem_item_cache_cleared(
+    indexer_ial, using_copy_on_write, warn_copy_on_write
+):
+    # GH#45684
+    data = {"x": np.arange(8, dtype=np.int64), "y": np.int64(0)}
+    df = DataFrame(data).copy()
+    ser = df["y"]
+
+    # previously this iat setting would split the block and fail to clear
+    #  the item_cache.
+    with tm.assert_cow_warning(warn_copy_on_write):
+        indexer_ial(df)[7, 0] = 9999
+
+    with tm.assert_cow_warning(warn_copy_on_write):
+        indexer_ial(df)[7, 1] = 1234
+
+    assert df.iat[7, 1] == 1234
+    if not using_copy_on_write:
+        assert ser.iloc[-1] == 1234
+    assert df.iloc[-1, -1] == 1234