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How to use _coder method in Pyscreenshot

Best Python code snippet using pyscreenshot_python

nested_structure_coder_test.py

Source:nested_structure_coder_test.py

1# Copyright 2018 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# ==============================================================================15"""Tests for nested structure coding."""16from __future__ import absolute_import17from __future__ import division18from __future__ import print_function19import collections20from tensorflow.core.protobuf import struct_pb221from tensorflow.python.framework import dtypes22from tensorflow.python.framework import tensor_shape23from tensorflow.python.framework import tensor_spec24from tensorflow.python.platform import test25from tensorflow.python.saved_model import nested_structure_coder26class NestedStructureTest(test.TestCase):27  def setUp(self):28    self._coder = nested_structure_coder.StructureCoder()29  def testEncodeDecodeList(self):30    structure = [1.5, 2.5, 3.0]31    self.assertTrue(self._coder.can_encode(structure))32    encoded = self._coder.encode_structure(structure)33    expected = struct_pb2.StructuredValue()34    expected.list_value.values.add().float64_value = 1.535    expected.list_value.values.add().float64_value = 2.536    expected.list_value.values.add().float64_value = 3.037    self.assertEqual(expected, encoded)38    decoded = self._coder.decode_proto(encoded)39    self.assertEqual(structure, decoded)40  def testEncodeDecodeTuple(self):41    structure = ("hello", [3, (2, 1)])42    self.assertTrue(self._coder.can_encode(structure))43    encoded = self._coder.encode_structure(structure)44    expected = struct_pb2.StructuredValue()45    expected.tuple_value.values.add().string_value = "hello"46    list_value = expected.tuple_value.values.add().list_value47    list_value.values.add().int64_value = 348    tuple_value = list_value.values.add().tuple_value49    tuple_value.values.add().int64_value = 250    tuple_value.values.add().int64_value = 151    self.assertEqual(expected, encoded)52    decoded = self._coder.decode_proto(encoded)53    self.assertEqual(structure, decoded)54  def testEncodeDecodeDict(self):55    structure = dict(a=3, b=[7, 2.5])56    self.assertTrue(self._coder.can_encode(structure))57    encoded = self._coder.encode_structure(structure)58    expected = struct_pb2.StructuredValue()59    expected.dict_value.fields["a"].int64_value = 360    list_value = expected.dict_value.fields["b"].list_value61    list_value.values.add().int64_value = 762    list_value.values.add().float64_value = 2.563    self.assertEqual(expected, encoded)64    decoded = self._coder.decode_proto(encoded)65    self.assertIsInstance(decoded["a"], int)66    self.assertEqual(structure, decoded)67  def testEncodeDecodeTensorShape(self):68    structure = [tensor_shape.TensorShape([1, 2, 3]), "hello"]69    self.assertTrue(self._coder.can_encode(structure))70    encoded = self._coder.encode_structure(structure)71    expected = struct_pb2.StructuredValue()72    expected_list = expected.list_value73    expected_tensor_shape = expected_list.values.add().tensor_shape_value74    expected_tensor_shape.dim.add().size = 175    expected_tensor_shape.dim.add().size = 276    expected_tensor_shape.dim.add().size = 377    expected_tensor_shape = expected_list.values.add().string_value = "hello"78    self.assertEqual(expected, encoded)79    decoded = self._coder.decode_proto(encoded)80    self.assertEqual(structure, decoded)81  def testEncodeDecodeNamedTuple(self):82    named_tuple_type = collections.namedtuple("NamedTuple", ["x", "y"])83    named_tuple = named_tuple_type(x=[1, 2], y="hello")84    self.assertTrue(self._coder.can_encode(named_tuple))85    encoded = self._coder.encode_structure(named_tuple)86    expected = struct_pb2.StructuredValue()87    expected_named_tuple = expected.named_tuple_value88    expected_named_tuple.name = "NamedTuple"89    key_value_pair = expected_named_tuple.values.add()90    key_value_pair.key = "x"91    list_value = key_value_pair.value.list_value92    list_value.values.add().int64_value = 193    list_value.values.add().int64_value = 294    key_value_pair = expected_named_tuple.values.add()95    key_value_pair.key = "y"96    key_value_pair.value.string_value = "hello"97    self.assertEqual(expected, encoded)98    decoded = self._coder.decode_proto(encoded)99    self.assertEqual(named_tuple._asdict(), decoded._asdict())100    self.assertEqual(named_tuple.__class__.__name__, decoded.__class__.__name__)101  def testNone(self):102    structure = [1.0, None]103    self.assertTrue(self._coder.can_encode(structure))104    encoded = self._coder.encode_structure(structure)105    expected = struct_pb2.StructuredValue()106    expected.list_value.values.add().float64_value = 1.0107    expected.list_value.values.add().none_value.CopyFrom(struct_pb2.NoneValue())108    self.assertEqual(expected, encoded)109    decoded = self._coder.decode_proto(encoded)110    self.assertEqual(structure, decoded)111  def testBool(self):112    structure = [False]113    self.assertTrue(self._coder.can_encode(structure))114    encoded = self._coder.encode_structure(structure)115    expected = struct_pb2.StructuredValue()116    expected.list_value.values.add().bool_value = False117    self.assertEqual(expected, encoded)118    decoded = self._coder.decode_proto(encoded)119    self.assertEqual(structure, decoded)120  def testEmptyStructures(self):121    structure = [list(), dict(), tuple()]122    self.assertTrue(self._coder.can_encode(structure))123    encoded = self._coder.encode_structure(structure)124    expected = struct_pb2.StructuredValue()125    expected.list_value.values.add().list_value.CopyFrom(struct_pb2.ListValue())126    expected.list_value.values.add().dict_value.CopyFrom(struct_pb2.DictValue())127    expected.list_value.values.add().tuple_value.CopyFrom(128        struct_pb2.TupleValue())129    self.assertEqual(expected, encoded)130    decoded = self._coder.decode_proto(encoded)131    self.assertEqual(structure, decoded)132  def testDtype(self):133    structure = [dtypes.int64]134    self.assertTrue(self._coder.can_encode(structure))135    encoded = self._coder.encode_structure(structure)136    expected = struct_pb2.StructuredValue()137    list_value = expected.list_value.values.add()138    list_value.tensor_dtype_value = dtypes.int64.as_datatype_enum139    self.assertEqual(expected, encoded)140    decoded = self._coder.decode_proto(encoded)141    self.assertEqual(structure, decoded)142  def testEncodeDecodeTensorSpec(self):143    structure = [tensor_spec.TensorSpec([1, 2, 3], dtypes.int64, "hello")]144    self.assertTrue(self._coder.can_encode(structure))145    encoded = self._coder.encode_structure(structure)146    expected = struct_pb2.StructuredValue()147    expected_list = expected.list_value148    expected_tensor_spec = expected_list.values.add().tensor_spec_value149    expected_tensor_spec.shape.dim.add().size = 1150    expected_tensor_spec.shape.dim.add().size = 2151    expected_tensor_spec.shape.dim.add().size = 3152    expected_tensor_spec.name = "hello"153    expected_tensor_spec.dtype = dtypes.int64.as_datatype_enum154    self.assertEqual(expected, encoded)155    decoded = self._coder.decode_proto(encoded)156    self.assertEqual(structure, decoded)157  def testNotEncodable(self):158    class NotEncodable(object):159      pass160    self.assertFalse(self._coder.can_encode([NotEncodable()]))161if __name__ == "__main__":...

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