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How to use summary method in pytest-cov
Best Python code snippet using pytest-cov
summary_test.py
Source:summary_test.py 
1# Copyright 2016 The TensorFlow Authors. All Rights Reserved.2#3# Licensed under the Apache License, Version 2.0 (the "License");4# you may not use this file except in compliance with the License.5# You may obtain a copy of the License at6#7# http://www.apache.org/licenses/LICENSE-2.08#9# Unless required by applicable law or agreed to in writing, software10# distributed under the License is distributed on an "AS IS" BASIS,11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.12# See the License for the specific language governing permissions and13# limitations under the License.14# ==============================================================================15from __future__ import absolute_import16from __future__ import division17from __future__ import print_function18from six.moves import xrange # pylint: disable=redefined-builtin19from tensorflow.core.framework import summary_pb220from tensorflow.python.framework import constant_op21from tensorflow.python.framework import meta_graph22from tensorflow.python.framework import ops23from tensorflow.python.ops import array_ops24from tensorflow.python.ops import variables25from tensorflow.python.platform import test26from tensorflow.python.summary import summary as summary_lib27class ScalarSummaryTest(test.TestCase):28 def testScalarSummary(self):29 with self.test_session() as s:30 i = constant_op.constant(3)31 with ops.name_scope('outer'):32 im = summary_lib.scalar('inner', i)33 summary_str = s.run(im)34 summary = summary_pb2.Summary()35 summary.ParseFromString(summary_str)36 values = summary.value37 self.assertEqual(len(values), 1)38 self.assertEqual(values[0].tag, 'outer/inner')39 self.assertEqual(values[0].simple_value, 3.0)40 def testScalarSummaryWithFamily(self):41 with self.test_session() as s:42 i = constant_op.constant(7)43 with ops.name_scope('outer'):44 im1 = summary_lib.scalar('inner', i, family='family')45 self.assertEquals(im1.op.name, 'outer/family/inner')46 im2 = summary_lib.scalar('inner', i, family='family')47 self.assertEquals(im2.op.name, 'outer/family/inner_1')48 sm1, sm2 = s.run([im1, im2])49 summary = summary_pb2.Summary()50 summary.ParseFromString(sm1)51 values = summary.value52 self.assertEqual(len(values), 1)53 self.assertEqual(values[0].tag, 'family/outer/family/inner')54 self.assertEqual(values[0].simple_value, 7.0)55 summary.ParseFromString(sm2)56 values = summary.value57 self.assertEqual(len(values), 1)58 self.assertEqual(values[0].tag, 'family/outer/family/inner_1')59 self.assertEqual(values[0].simple_value, 7.0)60 def testSummarizingVariable(self):61 with self.test_session() as s:62 c = constant_op.constant(42.0)63 v = variables.Variable(c)64 ss = summary_lib.scalar('summary', v)65 init = variables.global_variables_initializer()66 s.run(init)67 summ_str = s.run(ss)68 summary = summary_pb2.Summary()69 summary.ParseFromString(summ_str)70 self.assertEqual(len(summary.value), 1)71 value = summary.value[0]72 self.assertEqual(value.tag, 'summary')73 self.assertEqual(value.simple_value, 42.0)74 def testImageSummary(self):75 with self.test_session() as s:76 i = array_ops.ones((5, 4, 4, 3))77 with ops.name_scope('outer'):78 im = summary_lib.image('inner', i, max_outputs=3)79 summary_str = s.run(im)80 summary = summary_pb2.Summary()81 summary.ParseFromString(summary_str)82 values = summary.value83 self.assertEqual(len(values), 3)84 tags = sorted(v.tag for v in values)85 expected = sorted('outer/inner/image/{}'.format(i) for i in xrange(3))86 self.assertEqual(tags, expected)87 def testImageSummaryWithFamily(self):88 with self.test_session() as s:89 i = array_ops.ones((5, 2, 3, 1))90 with ops.name_scope('outer'):91 im = summary_lib.image('inner', i, max_outputs=3, family='family')92 self.assertEquals(im.op.name, 'outer/family/inner')93 summary_str = s.run(im)94 summary = summary_pb2.Summary()95 summary.ParseFromString(summary_str)96 values = summary.value97 self.assertEqual(len(values), 3)98 tags = sorted(v.tag for v in values)99 expected = sorted('family/outer/family/inner/image/{}'.format(i)100 for i in xrange(3))101 self.assertEqual(tags, expected)102 def testHistogramSummary(self):103 with self.test_session() as s:104 i = array_ops.ones((5, 4, 4, 3))105 with ops.name_scope('outer'):106 summ_op = summary_lib.histogram('inner', i)107 summary_str = s.run(summ_op)108 summary = summary_pb2.Summary()109 summary.ParseFromString(summary_str)110 self.assertEqual(len(summary.value), 1)111 self.assertEqual(summary.value[0].tag, 'outer/inner')112 def testHistogramSummaryWithFamily(self):113 with self.test_session() as s:114 i = array_ops.ones((5, 4, 4, 3))115 with ops.name_scope('outer'):116 summ_op = summary_lib.histogram('inner', i, family='family')117 self.assertEquals(summ_op.op.name, 'outer/family/inner')118 summary_str = s.run(summ_op)119 summary = summary_pb2.Summary()120 summary.ParseFromString(summary_str)121 self.assertEqual(len(summary.value), 1)122 self.assertEqual(summary.value[0].tag, 'family/outer/family/inner')123 def testAudioSummary(self):124 with self.test_session() as s:125 i = array_ops.ones((5, 3, 4))126 with ops.name_scope('outer'):127 aud = summary_lib.audio('inner', i, 0.2, max_outputs=3)128 summary_str = s.run(aud)129 summary = summary_pb2.Summary()130 summary.ParseFromString(summary_str)131 values = summary.value132 self.assertEqual(len(values), 3)133 tags = sorted(v.tag for v in values)134 expected = sorted('outer/inner/audio/{}'.format(i) for i in xrange(3))135 self.assertEqual(tags, expected)136 def testAudioSummaryWithFamily(self):137 with self.test_session() as s:138 i = array_ops.ones((5, 3, 4))139 with ops.name_scope('outer'):140 aud = summary_lib.audio('inner', i, 0.2, max_outputs=3, family='family')141 self.assertEquals(aud.op.name, 'outer/family/inner')142 summary_str = s.run(aud)143 summary = summary_pb2.Summary()144 summary.ParseFromString(summary_str)145 values = summary.value146 self.assertEqual(len(values), 3)147 tags = sorted(v.tag for v in values)148 expected = sorted('family/outer/family/inner/audio/{}'.format(i)149 for i in xrange(3))150 self.assertEqual(tags, expected)151 def testSummaryNameConversion(self):152 c = constant_op.constant(3)153 s = summary_lib.scalar('name with spaces', c)154 self.assertEqual(s.op.name, 'name_with_spaces')155 s2 = summary_lib.scalar('name with many $#illegal^: characters!', c)156 self.assertEqual(s2.op.name, 'name_with_many___illegal___characters_')157 s3 = summary_lib.scalar('/name/with/leading/slash', c)158 self.assertEqual(s3.op.name, 'name/with/leading/slash')159 def testSummaryWithFamilyMetaGraphExport(self):160 with ops.name_scope('outer'):161 i = constant_op.constant(11)162 summ = summary_lib.scalar('inner', i)163 self.assertEquals(summ.op.name, 'outer/inner')164 summ_f = summary_lib.scalar('inner', i, family='family')165 self.assertEquals(summ_f.op.name, 'outer/family/inner')166 metagraph_def, _ = meta_graph.export_scoped_meta_graph(export_scope='outer')167 with ops.Graph().as_default() as g:168 meta_graph.import_scoped_meta_graph(metagraph_def, graph=g,169 import_scope='new_outer')170 # The summaries should exist, but with outer scope renamed.171 new_summ = g.get_tensor_by_name('new_outer/inner:0')172 new_summ_f = g.get_tensor_by_name('new_outer/family/inner:0')173 # However, the tags are unaffected.174 with self.test_session() as s:175 new_summ_str, new_summ_f_str = s.run([new_summ, new_summ_f])176 new_summ_pb = summary_pb2.Summary()177 new_summ_pb.ParseFromString(new_summ_str)178 self.assertEquals('outer/inner', new_summ_pb.value[0].tag)179 new_summ_f_pb = summary_pb2.Summary()180 new_summ_f_pb.ParseFromString(new_summ_f_str)181 self.assertEquals('family/outer/family/inner',182 new_summ_f_pb.value[0].tag)183if __name__ == '__main__':...
summaries.py
Source:summaries.py
...19Example usage:20 import tensorflow as tf21 slim = tf.contrib.slim22 slim.summaries.add_histogram_summaries(slim.variables.get_model_variables())23 slim.summaries.add_scalar_summary(total_loss, 'Total Loss')24 slim.summaries.add_scalar_summary(learning_rate, 'Learning Rate')25 slim.summaries.add_histogram_summaries(my_tensors)26 slim.summaries.add_zero_fraction_summaries(my_tensors)27"""28from __future__ import absolute_import29from __future__ import division30from __future__ import print_function31from tensorflow.python.framework import ops32from tensorflow.python.ops import logging_ops33from tensorflow.python.ops import nn_impl as nn34from tensorflow.python.summary import summary35def _get_summary_name(tensor, name=None, prefix=None, postfix=None):36 """Produces the summary name given.37 Args:38 tensor: A variable or op `Tensor`.39 name: The optional name for the summary.40 prefix: An optional prefix for the summary name.41 postfix: An optional postfix for the summary name.42 Returns:43 a summary name.44 """45 if not name:46 name = tensor.op.name47 if prefix:48 name = prefix + '/' + name49 if postfix:50 name = name + '/' + postfix51 return name52def add_histogram_summary(tensor, name=None, prefix=None):53 """Adds a histogram summary for the given tensor.54 Args:55 tensor: A variable or op tensor.56 name: The optional name for the summary.57 prefix: An optional prefix for the summary names.58 Returns:59 A scalar `Tensor` of type `string` whose contents are the serialized60 `Summary` protocol buffer.61 """62 return summary.histogram(63 _get_summary_name(tensor, name, prefix), tensor)64def add_image_summary(tensor, name=None, prefix=None, print_summary=False):65 """Adds an image summary for the given tensor.66 Args:67 tensor: a variable or op tensor with shape [batch,height,width,channels]68 name: the optional name for the summary.69 prefix: An optional prefix for the summary names.70 print_summary: If `True`, the summary is printed to stdout when the summary71 is computed.72 Returns:73 An image `Tensor` of type `string` whose contents are the serialized74 `Summary` protocol buffer.75 """76 summary_name = _get_summary_name(tensor, name, prefix)77 # If print_summary, then we need to make sure that this call doesn't add the78 # non-printing op to the collection. We'll add it to the collection later.79 collections = [] if print_summary else None80 op = summary.image(81 name=summary_name, tensor=tensor, collections=collections)82 if print_summary:83 op = logging_ops.Print(op, [tensor], summary_name)84 ops.add_to_collection(ops.GraphKeys.SUMMARIES, op)85 return op86def add_scalar_summary(tensor, name=None, prefix=None, print_summary=False):87 """Adds a scalar summary for the given tensor.88 Args:89 tensor: a variable or op tensor.90 name: the optional name for the summary.91 prefix: An optional prefix for the summary names.92 print_summary: If `True`, the summary is printed to stdout when the summary93 is computed.94 Returns:95 A scalar `Tensor` of type `string` whose contents are the serialized96 `Summary` protocol buffer.97 """98 collections = [] if print_summary else None99 summary_name = _get_summary_name(tensor, name, prefix)100 # If print_summary, then we need to make sure that this call doesn't add the101 # non-printing op to the collection. We'll add it to the collection later.102 op = summary.scalar(103 name=summary_name, tensor=tensor, collections=collections)104 if print_summary:105 op = logging_ops.Print(op, [tensor], summary_name)106 ops.add_to_collection(ops.GraphKeys.SUMMARIES, op)107 return op108def add_zero_fraction_summary(tensor, name=None, prefix=None,109 print_summary=False):110 """Adds a summary for the percentage of zero values in the given tensor.111 Args:112 tensor: a variable or op tensor.113 name: the optional name for the summary.114 prefix: An optional prefix for the summary names.115 print_summary: If `True`, the summary is printed to stdout when the summary116 is computed.117 Returns:118 A scalar `Tensor` of type `string` whose contents are the serialized119 `Summary` protocol buffer.120 """121 name = _get_summary_name(tensor, name, prefix, 'Fraction of Zero Values')122 tensor = nn.zero_fraction(tensor)123 return add_scalar_summary(tensor, name, print_summary=print_summary)124def add_histogram_summaries(tensors, prefix=None):125 """Adds a histogram summary for each of the given tensors.126 Args:127 tensors: A list of variable or op tensors.128 prefix: An optional prefix for the summary names.129 Returns:130 A list of scalar `Tensors` of type `string` whose contents are the131 serialized `Summary` protocol buffer.132 """133 summary_ops = []134 for tensor in tensors:135 summary_ops.append(add_histogram_summary(tensor, prefix=prefix))136 return summary_ops137def add_image_summaries(tensors, prefix=None):138 """Adds an image summary for each of the given tensors.139 Args:140 tensors: A list of variable or op tensors.141 prefix: An optional prefix for the summary names.142 Returns:143 A list of scalar `Tensors` of type `string` whose contents are the144 serialized `Summary` protocol buffer.145 """146 summary_ops = []147 for tensor in tensors:148 summary_ops.append(add_image_summary(tensor, prefix=prefix))149 return summary_ops150def add_scalar_summaries(tensors, prefix=None, print_summary=False):151 """Adds a scalar summary for each of the given tensors.152 Args:153 tensors: a list of variable or op tensors.154 prefix: An optional prefix for the summary names.155 print_summary: If `True`, the summary is printed to stdout when the summary156 is computed.157 Returns:158 A list of scalar `Tensors` of type `string` whose contents are the159 serialized `Summary` protocol buffer.160 """161 summary_ops = []162 for tensor in tensors:163 summary_ops.append(add_scalar_summary(tensor, prefix=prefix,164 print_summary=print_summary))165 return summary_ops166def add_zero_fraction_summaries(tensors, prefix=None):167 """Adds a scalar zero-fraction summary for each of the given tensors.168 Args:169 tensors: a list of variable or op tensors.170 prefix: An optional prefix for the summary names.171 Returns:172 A list of scalar `Tensors` of type `string` whose contents are the173 serialized `Summary` protocol buffer.174 """175 summary_ops = []176 for tensor in tensors:177 summary_ops.append(add_zero_fraction_summary(tensor, prefix=prefix))...
summary.py
Source:summary.py
...20 '<!-- PELICAN_BEGIN_SUMMARY -->')21 pelican.settings.setdefault('SUMMARY_END_MARKER',22 '<!-- PELICAN_END_SUMMARY -->')23 pelican.settings.setdefault('SUMMARY_USE_FIRST_PARAGRAPH', False)24def extract_summary(instance):25 # if summary is already specified, use it26 # if there is no content, there's nothing to do27 if hasattr(instance, '_summary'):28 instance.has_summary = True29 return30 if not instance._content:31 instance.has_summary = False32 return33 begin_marker = instance.settings['SUMMARY_BEGIN_MARKER']34 end_marker = instance.settings['SUMMARY_END_MARKER']35 use_first_paragraph = instance.settings['SUMMARY_USE_FIRST_PARAGRAPH']36 remove_markers = True37 content = instance._content38 begin_summary = -139 end_summary = -140 if begin_marker:41 begin_summary = content.find(begin_marker)42 if end_marker:43 end_summary = content.find(end_marker)44 if begin_summary == -1 and end_summary == -1 and use_first_paragraph:45 begin_marker, end_marker = '<p>', '</p>'46 remove_markers = False47 begin_summary = content.find(begin_marker)48 end_summary = content.find(end_marker)49 if begin_summary == -1 and end_summary == -1:50 instance.has_summary = False51 return52 # skip over the begin marker, if present53 if begin_summary == -1:54 begin_summary = 055 else:56 begin_summary = begin_summary + len(begin_marker)57 if end_summary == -1:58 end_summary = None59 summary = content[begin_summary:end_summary]60 if remove_markers:61 # remove the markers from the content62 if begin_summary:63 content = content.replace(begin_marker, '', 1)64 if end_summary:65 content = content.replace(end_marker, '', 1)66 summary = re.sub(r"<div.*>", "", summary)67 summary = re.sub(r"</div>", "", summary)68 instance._content = content69 instance._summary = summary70 instance.has_summary = True71def run_plugin(generators):72 for generator in generators:73 if isinstance(generator, ArticlesGenerator):74 for article in generator.articles:75 extract_summary(article)76 elif isinstance(generator, PagesGenerator):77 for page in generator.pages:78 extract_summary(page)79def register():80 signals.initialized.connect(initialized)81 try:82 signals.all_generators_finalized.connect(run_plugin)83 except AttributeError:84 # NOTE: This results in #314 so shouldn't really be relied on85 # https://github.com/getpelican/pelican-plugins/issues/314...
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