chore: import upstream snapshot with attribution
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""Tensor-expression overload hooks for shared IR expressions."""
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def __add__(_lhs, _rhs):
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return NotImplemented
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def __radd__(_lhs, _rhs):
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return NotImplemented
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def __sub__(_lhs, _rhs):
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return NotImplemented
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def __rsub__(_lhs, _rhs):
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return NotImplemented
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def __mul__(_lhs, _rhs):
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return NotImplemented
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def __rmul__(_lhs, _rhs):
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return NotImplemented
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def __div__(_lhs, _rhs):
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return NotImplemented
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def __rdiv__(_lhs, _rhs):
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return NotImplemented
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def __truediv__(_lhs, _rhs):
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return NotImplemented
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def __rtruediv__(_lhs, _rhs):
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return NotImplemented
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def __floordiv__(_lhs, _rhs):
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return NotImplemented
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def __rfloordiv__(_lhs, _rhs):
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return NotImplemented
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def __mod__(_lhs, _rhs):
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return NotImplemented
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def __rmod__(_lhs, _rhs):
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return NotImplemented
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def __pow__(_lhs, _rhs):
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return NotImplemented
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def __rpow__(_lhs, _rhs):
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return NotImplemented
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def __neg__(_value):
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return NotImplemented
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def __lt__(_lhs, _rhs):
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return NotImplemented
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def __le__(_lhs, _rhs):
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return NotImplemented
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def __gt__(_lhs, _rhs):
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return NotImplemented
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def __ge__(_lhs, _rhs):
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return NotImplemented
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def __call__(_value, *_args, **_kwargs):
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return NotImplemented
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def __getitem__(_value, _index):
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return NotImplemented
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def astype(_value, _dtype, _span=None):
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return NotImplemented
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