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env-llmeval/lib/python3.10/site-packages/pandas/tests/indexing/common.py

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+""" common utilities """
+from __future__ import annotations
+
+from typing import (
+    Any,
+    Literal,
+)
+
+
+def _mklbl(prefix: str, n: int):
+    return [f"{prefix}{i}" for i in range(n)]
+
+
+def check_indexing_smoketest_or_raises(
+    obj,
+    method: Literal["iloc", "loc"],
+    key: Any,
+    axes: Literal[0, 1] | None = None,
+    fails=None,
+) -> None:
+    if axes is None:
+        axes_list = [0, 1]
+    else:
+        assert axes in [0, 1]
+        axes_list = [axes]
+
+    for ax in axes_list:
+        if ax < obj.ndim:
+            # create a tuple accessor
+            new_axes = [slice(None)] * obj.ndim
+            new_axes[ax] = key
+            axified = tuple(new_axes)
+            try:
+                getattr(obj, method).__getitem__(axified)
+            except (IndexError, TypeError, KeyError) as detail:
+                # if we are in fails, the ok, otherwise raise it
+                if fails is not None:
+                    if isinstance(detail, fails):
+                        return
+                raise

env-llmeval/lib/python3.10/site-packages/pandas/tests/indexing/conftest.py

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+import numpy as np
+import pytest
+
+from pandas import (
+    DataFrame,
+    Index,
+    MultiIndex,
+    Series,
+    date_range,
+)
+
+
+@pytest.fixture
+def series_ints():
+    return Series(np.random.default_rng(2).random(4), index=np.arange(0, 8, 2))
+
+
+@pytest.fixture
+def frame_ints():
+    return DataFrame(
+        np.random.default_rng(2).standard_normal((4, 4)),
+        index=np.arange(0, 8, 2),
+        columns=np.arange(0, 12, 3),
+    )
+
+
+@pytest.fixture
+def series_uints():
+    return Series(
+        np.random.default_rng(2).random(4),
+        index=Index(np.arange(0, 8, 2, dtype=np.uint64)),
+    )
+
+
+@pytest.fixture
+def frame_uints():
+    return DataFrame(
+        np.random.default_rng(2).standard_normal((4, 4)),
+        index=Index(range(0, 8, 2), dtype=np.uint64),
+        columns=Index(range(0, 12, 3), dtype=np.uint64),
+    )
+
+
+@pytest.fixture
+def series_labels():
+    return Series(np.random.default_rng(2).standard_normal(4), index=list("abcd"))
+
+
+@pytest.fixture
+def frame_labels():
+    return DataFrame(
+        np.random.default_rng(2).standard_normal((4, 4)),
+        index=list("abcd"),
+        columns=list("ABCD"),
+    )
+
+
+@pytest.fixture
+def series_ts():
+    return Series(
+        np.random.default_rng(2).standard_normal(4),
+        index=date_range("20130101", periods=4),
+    )
+
+
+@pytest.fixture
+def frame_ts():
+    return DataFrame(
+        np.random.default_rng(2).standard_normal((4, 4)),
+        index=date_range("20130101", periods=4),
+    )
+
+
+@pytest.fixture
+def series_floats():
+    return Series(
+        np.random.default_rng(2).random(4),
+        index=Index(range(0, 8, 2), dtype=np.float64),
+    )
+
+
+@pytest.fixture
+def frame_floats():
+    return DataFrame(
+        np.random.default_rng(2).standard_normal((4, 4)),
+        index=Index(range(0, 8, 2), dtype=np.float64),
+        columns=Index(range(0, 12, 3), dtype=np.float64),
+    )
+
+
+@pytest.fixture
+def series_mixed():
+    return Series(np.random.default_rng(2).standard_normal(4), index=[2, 4, "null", 8])
+
+
+@pytest.fixture
+def frame_mixed():
+    return DataFrame(
+        np.random.default_rng(2).standard_normal((4, 4)), index=[2, 4, "null", 8]
+    )
+
+
+@pytest.fixture
+def frame_empty():
+    return DataFrame()
+
+
+@pytest.fixture
+def series_empty():
+    return Series(dtype=object)
+
+
+@pytest.fixture
+def frame_multi():
+    return DataFrame(
+        np.random.default_rng(2).standard_normal((4, 4)),
+        index=MultiIndex.from_product([[1, 2], [3, 4]]),
+        columns=MultiIndex.from_product([[5, 6], [7, 8]]),
+    )
+
+
+@pytest.fixture
+def series_multi():
+    return Series(
+        np.random.default_rng(2).random(4),
+        index=MultiIndex.from_product([[1, 2], [3, 4]]),
+    )