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Quansight-Labs / numpy_pytorch_interop Public

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Port indexing tests#23

Merged

ev-br merged 59 commits intoQuansight-Labs:mainQuansight-Labs/numpy_pytorch_interop:mainfrom

honno:test-indexinghonno/numpy_pytorch_interop:test-indexingCopy head branch name to clipboard

Feb 23, 2023

Conversation Commits59 (59)Checks Files changed

Merged

Port indexing tests#23
ev-br merged 59 commits intoQuansight-Labs:mainfrom
honno:test-indexing

Commits

Commits on Feb 21, 2023

Mirror `test_indexing.py`
honno
committed
Assert for `TypeError` where appropiate for index validation tests
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xfail `test_index_no_array_to_index`
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Partially xfail `test_empty_tuple_index`
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xfail `test_void_scalar_empty_tuple`
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xfail `test_same_kind_index_casting`
honno
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Allow for `RuntimeError` as well in `test_single_int_index`
honno
committed
Smoke test for advance integer indexing
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Upcast int tensor indices
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Normalise indices for setitem
honno
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Update xfail reason for `test_same_kind_index_casting`
honno
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Allow `RuntimeError` in `test_boolean_assignment_value_mismatch`
honno
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xfail `test_boolean_assignment_needs_api`
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xfail indexing tests for negative slice steps
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Add `torch_np/tests/__init__.py` to fix relative imports
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Use correct helper in `__setitem__()`
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xfail `test_too_many_fancy_indices_special_case`
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Include `RuntimeError` in `test_trivial_fancy_out_of_bounds` testing
honno
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xfail view stuff in `test_indexing.py`
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xfail `test_subclass_writeable`
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xfail `test_memory_order`
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xfail `test_scalar_return_type`
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xfail `test_small_regressions`
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xfail `test_broken_sequence_not_nd_index`
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xfail `test_character_assignment`
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Selectively xfail `test_too_many_advanced_indices`
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Mirror `np.s_` and `np.index_exp`
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Allow for `RuntimeError` in more tests
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Broaden `test_broadcast_error_reports_correct_shape` for torch
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xfail `test_boolean_index_cast_assign`
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xfail `test_object_assign`
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xfail `test_cast_equivalence`
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Partially xfail `test_nontuple_ndindex`
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xfail before use of currently-unimplemented `take()`
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xfail `test_non_integer_sequence_multiplication`
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Convert wrapped array shape inputs into tensors for `x.reshape()`
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Add `tnp.True_` and `tnp.False_` aliases
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Partially xfail `test_bool_as_int_argument_errors`
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Remove finnicky regex assertions in `test_boolean_indexing_fast_path`
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Partially xfail `test_array_to_index_error`
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xfail `TestNonIntegerArrayLike::test_basic`
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xfail `TestMultipleEllipsisError::test_basic`
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Recognize dtype name aliases in `dtype()`
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xfail `TestMultiIndexingAutomated`
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Skip `test_full`
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Skip the view related tests
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Clarify that its torch which deprecates uint8s for indexing
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Skip rather than xfail cases which clearly won't be implemented
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Favour `t.to()` over `t.type()` for dtype conversions
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Regression test for recursive behaviour in `ndarrays_to_tensors()`
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Accept uint8s as advance integer indices
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Prefer tuples to lists
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Vendor `s_` and `index_exp`
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Just delete tests which aren't even interesting to keep skip
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Style
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Comment why normalise `newshape` in `_detail.implementations.reshape`
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xfail `test_index_is_larger`
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Use `ndarays_to_tensors()` for normalising setitem value
honno
committed
Update `test_boolean_assignment_value_mismatch` expected errors
honno
committed

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