forked from huawei/mindspore2022
98 lines
3.3 KiB
Python
98 lines
3.3 KiB
Python
# This is the Python adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
|
|
#
|
|
# Copyright 2020 Huawei Technologies Co., Ltd
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
# ============================================================================
|
|
"""Trope some system function symbol to ops."""
|
|
|
|
# This operation function is not meant to be called directly
|
|
|
|
# support operator symbol, ast
|
|
from operator import ( # noqa
|
|
add, sub, mul, truediv, floordiv, mod, eq, ne, lt, gt, le, ge, pos, neg,
|
|
not_, and_, or_, xor, lshift, rshift, invert, is_, is_not, contains,
|
|
matmul, getitem, setitem
|
|
)
|
|
|
|
# support system function call
|
|
from builtins import ( # noqa
|
|
bool, getattr, setattr, len, iter, next, pow, range, map, zip, print, enumerate, isinstance
|
|
)
|
|
|
|
# support functools
|
|
from functools import ( # noqa
|
|
partial
|
|
)
|
|
|
|
# support numpy symbol
|
|
from numpy import ( # noqa
|
|
exp, log, sin, cos, tan
|
|
)
|
|
|
|
__all__ = ['add', 'sub', 'mul', 'truediv', 'floordiv', 'mod', 'eq', 'ne', 'lt', 'gt', 'le', 'ge', 'pos', 'neg',
|
|
'not_', 'and_', 'or_', 'xor', 'lshift', 'rshift', 'invert', 'is_', 'is_not', 'contains',
|
|
'matmul', 'getitem', 'setitem',
|
|
'bool', 'getattr', 'setattr', 'len', 'iter', 'next', 'pow', 'range', 'map', 'zip',
|
|
'partial', 'print', 'enumerate', 'isinstance',
|
|
'exp', 'log', 'sin', 'cos', 'tan']
|
|
|
|
|
|
def make_tuple(*elts): # pragma: no cover
|
|
"""Tuple builder."""
|
|
raise RuntimeError('This operation is not meant to be called directly.')
|
|
|
|
|
|
def make_dict(key, value): # pragma: no cover
|
|
"""Dict builder."""
|
|
raise RuntimeError('This operation is not meant to be called directly.')
|
|
|
|
|
|
def make_list(*elts): # pragma: no cover
|
|
"""List builder."""
|
|
raise RuntimeError('This operation is not meant to be called directly.')
|
|
|
|
|
|
def make_slice(*elts): # pragma: no cover
|
|
"""Slice builder."""
|
|
raise RuntimeError('This operation is not meant to be called directly.')
|
|
|
|
|
|
def make_range(*elts): # pragma: no cover
|
|
"""Range tuple builder."""
|
|
raise RuntimeError('This operation is not meant to be called directly.')
|
|
|
|
|
|
def switch(cond, tb, fb): # pragma: no cover
|
|
"""Switch statement, returns one of the two values."""
|
|
raise RuntimeError('This operation is not meant to be called directly.')
|
|
|
|
|
|
def hasnext(it): # pragma: no cover
|
|
"""Hasnext function."""
|
|
raise RuntimeError('This operation is not meant to be called directly.')
|
|
|
|
|
|
def to_array(x): # pragma: no cover
|
|
"""The to_array function."""
|
|
raise RuntimeError('This operation is not meant to be called directly.')
|
|
|
|
|
|
def not_contains(x): # pragma: no cover
|
|
"""Not in function."""
|
|
raise RuntimeError('This operation is not meant to be called directly.')
|
|
|
|
def while_cond(x): # pragma: no cover
|
|
"""Not in function."""
|
|
raise RuntimeError('This operation is not meant to be called directly.')
|