mirror of
https://github.com/codeflash-ai/codeflash.git
synced 2026-05-04 18:25:17 +00:00
feat: add PyArrow support to comparator
Add comparison support for PyArrow types including Table, RecordBatch, Array, ChunkedArray, Scalar, Schema, Field, and DataType. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
aseembits93
parent
6fc2c177f2
commit
2b66d15c06
4 changed files with 306 additions and 1 deletions
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@ -25,6 +25,7 @@ HAS_JAX = find_spec("jax") is not None
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HAS_XARRAY = find_spec("xarray") is not None
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HAS_TENSORFLOW = find_spec("tensorflow") is not None
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HAS_NUMBA = find_spec("numba") is not None
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HAS_PYARROW = find_spec("pyarrow") is not None
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# Pattern to match pytest temp directories: /tmp/pytest-of-<user>/pytest-<N>/
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# These paths vary between test runs but are logically equivalent
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@ -342,6 +343,50 @@ def comparator(orig: Any, new: Any, superset_obj=False) -> bool:
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return False
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return (orig != new).nnz == 0
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if HAS_PYARROW:
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import pyarrow as pa # type: ignore # noqa: PGH003
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if isinstance(orig, pa.Table):
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if orig.schema != new.schema:
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return False
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if orig.num_rows != new.num_rows:
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return False
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return orig.equals(new)
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if isinstance(orig, pa.RecordBatch):
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if orig.schema != new.schema:
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return False
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if orig.num_rows != new.num_rows:
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return False
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return orig.equals(new)
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if isinstance(orig, pa.ChunkedArray):
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if orig.type != new.type:
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return False
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if len(orig) != len(new):
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return False
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return orig.equals(new)
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if isinstance(orig, pa.Array):
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if orig.type != new.type:
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return False
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if len(orig) != len(new):
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return False
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return orig.equals(new)
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if isinstance(orig, pa.Scalar):
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if orig.type != new.type:
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return False
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# Handle null scalars
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if not orig.is_valid and not new.is_valid:
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return True
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if not orig.is_valid or not new.is_valid:
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return False
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return orig.equals(new)
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if isinstance(orig, (pa.Schema, pa.Field, pa.DataType)):
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return orig.equals(new)
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if HAS_PANDAS:
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import pandas # noqa: ICN001
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@ -87,6 +87,7 @@ tests = [
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"jax>=0.4.30",
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"numpy>=2.0.2",
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"pandas>=2.3.3",
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"pyarrow>=15.0.0",
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"pyrsistent>=0.20.0",
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"scipy>=1.13.1",
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"torch>=2.8.0",
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@ -645,6 +645,137 @@ def test_pandas():
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assert comparator(filtered1, filtered2)
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def test_pyarrow():
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try:
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import pyarrow as pa
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except ImportError:
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pytest.skip()
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# Test PyArrow Table
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table1 = pa.table({"a": [1, 2, 3], "b": [4, 5, 6]})
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table2 = pa.table({"a": [1, 2, 3], "b": [4, 5, 6]})
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table3 = pa.table({"a": [1, 2, 3], "b": [4, 5, 7]})
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table4 = pa.table({"a": [1, 2, 3, 4], "b": [4, 5, 6, 7]})
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table5 = pa.table({"a": [1, 2, 3], "c": [4, 5, 6]}) # different column name
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assert comparator(table1, table2)
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assert not comparator(table1, table3)
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assert not comparator(table1, table4)
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assert not comparator(table1, table5)
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# Test PyArrow RecordBatch
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batch1 = pa.RecordBatch.from_pydict({"x": [1, 2], "y": [3.0, 4.0]})
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batch2 = pa.RecordBatch.from_pydict({"x": [1, 2], "y": [3.0, 4.0]})
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batch3 = pa.RecordBatch.from_pydict({"x": [1, 2], "y": [3.0, 5.0]})
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batch4 = pa.RecordBatch.from_pydict({"x": [1, 2, 3], "y": [3.0, 4.0, 5.0]})
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assert comparator(batch1, batch2)
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assert not comparator(batch1, batch3)
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assert not comparator(batch1, batch4)
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# Test PyArrow Array
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arr1 = pa.array([1, 2, 3])
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arr2 = pa.array([1, 2, 3])
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arr3 = pa.array([1, 2, 4])
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arr4 = pa.array([1, 2, 3, 4])
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arr5 = pa.array([1.0, 2.0, 3.0]) # different type
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assert comparator(arr1, arr2)
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assert not comparator(arr1, arr3)
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assert not comparator(arr1, arr4)
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assert not comparator(arr1, arr5)
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# Test PyArrow Array with nulls
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arr_null1 = pa.array([1, None, 3])
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arr_null2 = pa.array([1, None, 3])
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arr_null3 = pa.array([1, 2, 3])
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assert comparator(arr_null1, arr_null2)
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assert not comparator(arr_null1, arr_null3)
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# Test PyArrow ChunkedArray
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chunked1 = pa.chunked_array([[1, 2], [3, 4]])
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chunked2 = pa.chunked_array([[1, 2], [3, 4]])
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chunked3 = pa.chunked_array([[1, 2], [3, 5]])
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chunked4 = pa.chunked_array([[1, 2, 3], [4, 5]])
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assert comparator(chunked1, chunked2)
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assert not comparator(chunked1, chunked3)
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assert not comparator(chunked1, chunked4)
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# Test PyArrow Scalar
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scalar1 = pa.scalar(42)
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scalar2 = pa.scalar(42)
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scalar3 = pa.scalar(43)
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scalar4 = pa.scalar(42.0) # different type
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assert comparator(scalar1, scalar2)
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assert not comparator(scalar1, scalar3)
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assert not comparator(scalar1, scalar4)
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# Test null scalars
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null_scalar1 = pa.scalar(None, type=pa.int64())
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null_scalar2 = pa.scalar(None, type=pa.int64())
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null_scalar3 = pa.scalar(None, type=pa.float64())
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assert comparator(null_scalar1, null_scalar2)
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assert not comparator(null_scalar1, null_scalar3)
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# Test PyArrow Schema
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schema1 = pa.schema([("a", pa.int64()), ("b", pa.float64())])
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schema2 = pa.schema([("a", pa.int64()), ("b", pa.float64())])
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schema3 = pa.schema([("a", pa.int64()), ("c", pa.float64())])
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schema4 = pa.schema([("a", pa.int32()), ("b", pa.float64())])
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assert comparator(schema1, schema2)
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assert not comparator(schema1, schema3)
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assert not comparator(schema1, schema4)
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# Test PyArrow Field
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field1 = pa.field("name", pa.int64())
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field2 = pa.field("name", pa.int64())
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field3 = pa.field("other", pa.int64())
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field4 = pa.field("name", pa.float64())
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assert comparator(field1, field2)
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assert not comparator(field1, field3)
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assert not comparator(field1, field4)
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# Test PyArrow DataType
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type1 = pa.int64()
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type2 = pa.int64()
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type3 = pa.int32()
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type4 = pa.float64()
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assert comparator(type1, type2)
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assert not comparator(type1, type3)
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assert not comparator(type1, type4)
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# Test string arrays
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str_arr1 = pa.array(["hello", "world"])
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str_arr2 = pa.array(["hello", "world"])
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str_arr3 = pa.array(["hello", "there"])
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assert comparator(str_arr1, str_arr2)
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assert not comparator(str_arr1, str_arr3)
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# Test nested types (struct)
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struct_arr1 = pa.array([{"x": 1, "y": 2}, {"x": 3, "y": 4}])
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struct_arr2 = pa.array([{"x": 1, "y": 2}, {"x": 3, "y": 4}])
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struct_arr3 = pa.array([{"x": 1, "y": 2}, {"x": 3, "y": 5}])
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assert comparator(struct_arr1, struct_arr2)
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assert not comparator(struct_arr1, struct_arr3)
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# Test list arrays
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list_arr1 = pa.array([[1, 2], [3, 4, 5]])
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list_arr2 = pa.array([[1, 2], [3, 4, 5]])
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list_arr3 = pa.array([[1, 2], [3, 4, 6]])
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assert comparator(list_arr1, list_arr2)
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assert not comparator(list_arr1, list_arr3)
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def test_pyrsistent():
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try:
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from pyrsistent import PBag, PClass, PRecord, field, pdeque, pmap, pset, pvector # type: ignore
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@ -1687,7 +1818,6 @@ def test_torch_runtime_error_wrapping():
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class TorchRuntimeError(Exception):
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"""Mock TorchRuntimeError for testing."""
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# Monkey-patch the __module__ to match torch._dynamo.exc
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TorchRuntimeError.__module__ = "torch._dynamo.exc"
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129
uv.lock
129
uv.lock
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@ -509,6 +509,8 @@ tests = [
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{ name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
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{ name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
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{ name = "pandas", version = "3.0.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
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{ name = "pyarrow", version = "21.0.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
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{ name = "pyarrow", version = "23.0.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
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{ name = "pyrsistent" },
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{ name = "scipy", version = "1.13.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
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{ name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.10.*'" },
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@ -587,6 +589,7 @@ tests = [
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{ name = "numba", specifier = ">=0.60.0" },
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{ name = "numpy", specifier = ">=2.0.2" },
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{ name = "pandas", specifier = ">=2.3.3" },
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{ name = "pyarrow", specifier = ">=15.0.0" },
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{ name = "pyrsistent", specifier = ">=0.20.0" },
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{ name = "scipy", specifier = ">=1.13.1" },
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{ name = "tensorflow", specifier = ">=2.20.0" },
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@ -3996,6 +3999,132 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/8e/37/efad0257dc6e593a18957422533ff0f87ede7c9c6ea010a2177d738fb82f/pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0", size = 11842, upload-time = "2024-07-21T12:58:20.04Z" },
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]
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[[package]]
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name = "pyarrow"
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version = "21.0.0"
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source = { registry = "https://pypi.org/simple" }
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resolution-markers = [
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"python_full_version >= '3.9.2' and python_full_version < '3.10'",
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"python_full_version < '3.9.2'",
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]
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wheels = [
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[[package]]
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name = "pydantic"
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version = "2.12.5"
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|
|
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|||
Loading…
Reference in a new issue