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Python

# Copyright 2019 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.
# ==============================================================================
"""Tests for functions used to extract and analyze stacks."""
from tensorflow.python.platform import test
from tensorflow.python.util import tf_stack
class TFStackTest(test.TestCase):
def testFrameSummaryEquality(self):
frames1 = tf_stack.extract_stack()
frames2 = tf_stack.extract_stack()
self.assertNotEqual(frames1[0], frames1[1])
self.assertEqual(frames1[0], frames1[0])
self.assertEqual(frames1[0], frames2[0])
def testFrameSummaryEqualityAndHash(self):
# Both defined on the same line to produce identical stacks.
frame1, frame2 = tf_stack.extract_stack(), tf_stack.extract_stack()
self.assertEqual(len(frame1), len(frame2))
for f1, f2 in zip(frame1, frame2):
self.assertEqual(f1, f2)
self.assertEqual(hash(f1), hash(f1))
self.assertEqual(hash(f1), hash(f2))
self.assertEqual(frame1, frame2)
self.assertEqual(hash(tuple(frame1)), hash(tuple(frame2)))
def testLastUserFrame(self):
trace = tf_stack.extract_stack()
frame = trace.last_user_frame()
self.assertRegex(repr(frame), 'testLastUserFrame')
def testGetUserFrames(self):
def func():
trace = tf_stack.extract_stack() # COMMENT
frames = list(trace.get_user_frames())
return frames
frames = func() # CALLSITE
self.assertRegex(repr(frames[-1]), 'func')
self.assertRegex(repr(frames[-2]), 'testGetUserFrames')
def testGetItem(self):
def func(n):
if n == 0:
return tf_stack.extract_stack() # COMMENT
else:
return func(n - 1)
trace = func(5)
self.assertIn('func', repr(trace[-1]))
with self.assertRaises(IndexError):
_ = trace[-len(trace) - 1]
with self.assertRaises(IndexError):
_ = trace[len(trace)]
def testSlice(self):
def func(n):
if n == 0:
return tf_stack.extract_stack()
else:
return func(n - 1)
trace = func(5)
# Test full slice (step=1)
sliced_full = trace[:]
self.assertEqual(len(sliced_full), len(trace))
# Test partial slice (step=1)
if len(trace) > 2:
sliced_partial = trace[1:3]
self.assertEqual(len(sliced_partial), 2)
# Test slice with step != 1
sliced_step = trace[::2]
self.assertEqual(len(sliced_step), (len(trace) + 1) // 2)
# Test negative step
sliced_reverse = trace[::-1]
self.assertEqual(len(sliced_reverse), len(trace))
# Test empty slice
sliced_empty = trace[5:1]
self.assertEqual(len(sliced_empty), 0)
def testSourceMap(self):
source_map = tf_stack._tf_stack.PyBindSourceMap()
def func(n):
if n == 0:
return tf_stack._tf_stack.extract_stack(
source_map, tf_stack._tf_stack.PyBindFileSet()
)
else:
return func(n - 1)
trace = func(5)
source_map.update_to((
(
(trace[0].filename, trace[0].lineno),
("filename", 42, "function_name"),
),
))
trace = list(func(5))
self.assertEqual(
str(trace[0]), 'File "filename", line 42, in function_name'
)
def testStackTraceBuilder(self):
stack1 = tf_stack.extract_stack()
stack2 = tf_stack.extract_stack()
stack3 = tf_stack.extract_stack()
builder = tf_stack.GraphDebugInfoBuilder()
builder.AccumulateStackTrace('func1', 'node1', stack1)
builder.AccumulateStackTrace('func2', 'node2', stack2)
builder.AccumulateStackTrace('func3', 'node3', stack3)
debug_info = builder.Build()
trace_map = tf_stack.LoadTracesFromDebugInfo(debug_info)
self.assertSameElements(
trace_map.keys(), ['node1@func1', 'node2@func2', 'node3@func3']
)
for trace in trace_map.values():
self.assertRegex(repr(trace), 'tf_stack_test.py', trace)
if __name__ == "__main__":
test.main()