# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# 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.
# ==============================================================================
"""This module implements operators that AutoGraph overloads.

Note that "operator" is used loosely here, and includes control structures like
conditionals and loops, implemented in functional form, using for example
closures for the body.
"""

# Naming conventions:
#  * operator names match the name usually used for the respective Python
#    idiom; examples: for_stmt, list_append
#  * operator arguments match either of:
#    - the corresponding Python AST attribute (e.g. the condition of an if
#      statement is called test) if the operator represents an AST construct
#    - the names used in the Python docs, if the operator is a function (e.g.
#      list_ and x for append, see
#      https://docs.python.org/3.7/tutorial/datastructures.html)
#
# All operators may accept a final argument named "opts", of a type that
# subclasses namedtuple and contains any arguments that are only required
# for some specializations of the operator.

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.python.autograph.operators.control_flow import for_stmt
from tensorflow.python.autograph.operators.control_flow import if_stmt
from tensorflow.python.autograph.operators.control_flow import while_stmt
from tensorflow.python.autograph.operators.data_structures import list_append
from tensorflow.python.autograph.operators.data_structures import list_pop
from tensorflow.python.autograph.operators.data_structures import list_stack
from tensorflow.python.autograph.operators.data_structures import ListPopOpts
from tensorflow.python.autograph.operators.data_structures import ListStackOpts
from tensorflow.python.autograph.operators.data_structures import new_list
from tensorflow.python.autograph.operators.exceptions import assert_stmt
from tensorflow.python.autograph.operators.logical import and_
from tensorflow.python.autograph.operators.logical import eq
from tensorflow.python.autograph.operators.logical import gt
from tensorflow.python.autograph.operators.logical import gt_e
from tensorflow.python.autograph.operators.logical import in_
from tensorflow.python.autograph.operators.logical import is_
from tensorflow.python.autograph.operators.logical import is_not
from tensorflow.python.autograph.operators.logical import lt
from tensorflow.python.autograph.operators.logical import lt_e
from tensorflow.python.autograph.operators.logical import not_
from tensorflow.python.autograph.operators.logical import not_eq
from tensorflow.python.autograph.operators.logical import not_in
from tensorflow.python.autograph.operators.logical import or_
from tensorflow.python.autograph.operators.logical import u_sub
from tensorflow.python.autograph.operators.py_builtins import float_
from tensorflow.python.autograph.operators.py_builtins import int_
from tensorflow.python.autograph.operators.py_builtins import len_
from tensorflow.python.autograph.operators.py_builtins import print_
from tensorflow.python.autograph.operators.py_builtins import range_
from tensorflow.python.autograph.operators.slices import get_item
from tensorflow.python.autograph.operators.slices import GetItemOpts
from tensorflow.python.autograph.operators.slices import set_item
