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# Copyright 2017 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.
# ==============================================================================
"""Canonicalizes the ternary conditional operator."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.autograph.core import converter
from tensorflow.contrib.autograph.pyct import templates
class IfExp(converter.Base):
"""Canonicalizes all IfExp nodes into plain conditionals."""
def visit_IfExp(self, node):
template = """
ag__.utils.run_cond(test, lambda: (body,), lambda: (orelse,))
"""
desugared_ifexp = templates.replace_as_expression(
template, test=node.test, body=node.body, orelse=node.orelse)
return desugared_ifexp
def transform(node, ctx):
"""Desugar IfExp nodes into plain conditionals.
Args:
node: ast.AST, the node to transform
ctx: converter.EntityContext
Returns:
new_node: an AST with no IfExp nodes, only conditionals.
"""
node = IfExp(ctx).visit(node)
return node
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