How to use _update_dict method in yandex-tank

Best Python code snippet using yandex-tank

functionality.py

Source: functionality.py Github

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...66 coded_length = len(item)67 if coded_length in self.codes.keys():68 continue69 elif coded_length in self.easy_codes.keys():70 self._update_dict(item, self.easy_codes.get(coded_length))71 # Create inversely mapped codes72 self.inv_codes = {v: k for k, v in self.codes.items()}73 def _update_dict(self, item, number):74 update_dict = {frozenset(item): number}75 self.codes.update(update_dict)76 def decode_hard_codes(self):77 """78 Uses encoded wireing to deduce the wireing not easily found by 79 decode_easy_codes().80 the numbers nine, six and zero have 6 active wires:81 if all active wires are also in the four it must be a nine82 if thats false, but all active wires are also in a one it 83 it must be a 084 If thats not the case it must be a six.85 the numbers three, five and two have 5 active wires:86 if it has all the wires also found in a seven it's a three87 if it has one less wire than a four it's a 588 and if it has two less wires than a four it's a 289 """90 for item in self.input_encoded + self.output_encoded:91 coded_length = len(item)92 if coded_length in self.codes.keys():93 continue94 this_number = frozenset(item)95 if coded_length == 6:96 if self.inv_codes.get(4) - this_number == set():97 self._update_dict(item, 9)98 elif self.inv_codes.get(1) - this_number != set():99 self._update_dict(item, 6)100 else:101 self._update_dict(item, 0)102 elif coded_length == 5:103 if self.inv_codes.get(7) - this_number == set():104 self._update_dict(item, 3)105 elif len(self.inv_codes.get(4) - this_number) == 1:106 self._update_dict(item, 5)107 elif len(self.inv_codes.get(4) - this_number) == 2:108 self._update_dict(item, 2)109 # Update inversely mapped codes110 self.inv_codes = {v: k for k, v in self.codes.items()}111 def decode_output(self):112 """113 Decode the message with decoded codes.114 Returns115 -------116 int117 A four digit integer where each wireing combination from 118 the output is one digit.119 """120 decoded = ""121 for item in self.output_encoded:122 decoded += str(self.codes.get(frozenset(item)))...

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layers.py

Source: layers.py Github

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...7def normalize(layer):8 return layer/​127.5 - 1.9def denormalize(layer):10 return (layer + 1.)/​2.11def _update_dict(layer_dict, scope, layer):12 name = "{}/​{}".format(tf.get_variable_scope().name, scope)13 layer_dict[name] = layer14def image_from_paths(paths, shape, is_grayscale=True, seed=None):15 filename_queue = tf.train.string_input_producer(list(paths), shuffle=False, seed=seed)16 reader = tf.WholeFileReader()17 filename, data = reader.read(filename_queue)18 image = tf.image.decode_png(data, channels=3, dtype=tf.uint8)19 if is_grayscale:20 image = tf.image.rgb_to_grayscale(image)21 image.set_shape(shape)22 return filename, tf.to_float(image)23@add_arg_scope24def resnet_block(25 inputs, scope, num_outputs=64, kernel_size=[3, 3],26 stride=[1, 1], padding="SAME", layer_dict={}):27 with tf.variable_scope(scope):28 layer = conv2d(29 inputs, num_outputs, kernel_size, stride,30 padding=padding, activation_fn=tf.nn.relu, scope="conv1")31 layer = conv2d(32 layer, num_outputs, kernel_size, stride,33 padding=padding, activation_fn=None, scope="conv2")34 outputs = tf.nn.relu(tf.add(inputs, layer))35 _update_dict(layer_dict, scope, outputs)36 return outputs37@add_arg_scope38def repeat(inputs, repetitions, layer, layer_dict={}, **kargv):39 outputs = slim.repeat(inputs, repetitions, layer, **kargv)40 _update_dict(layer_dict, kargv['scope'], outputs)41 return outputs42@add_arg_scope43def conv2d(inputs, num_outputs, kernel_size, stride,44 layer_dict={}, activation_fn=None,45 #weights_initializer=tf.random_normal_initializer(0, 0.001),46 weights_initializer=tf.contrib.layers.xavier_initializer(),47 scope=None, name="", **kargv):48 outputs = slim.conv2d(49 inputs, num_outputs, kernel_size,50 stride, activation_fn=activation_fn, 51 weights_initializer=weights_initializer,52 biases_initializer=tf.zeros_initializer(dtype=tf.float32), scope=scope, **kargv)53 if name:54 scope = "{}/​{}".format(name, scope)55 _update_dict(layer_dict, scope, outputs)56 return outputs57@add_arg_scope58def max_pool2d(inputs, kernel_size=[3, 3], stride=[1, 1],59 layer_dict={}, scope=None, name="", **kargv):60 outputs = slim.max_pool2d(inputs, kernel_size, stride, **kargv)61 if name:62 scope = "{}/​{}".format(name, scope)63 _update_dict(layer_dict, scope, outputs)64 return outputs65@add_arg_scope66def tanh(inputs, layer_dict={}, name=None, **kargv):67 outputs = tf.nn.tanh(inputs, name=name, **kargv)68 _update_dict(layer_dict, name, outputs)...

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dir_dict.py

Source: dir_dict.py Github

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1from collections.abc import MutableMapping2from functools import wraps3from typing import Iterator4import os5def _update_dict(func):6 @wraps(func)7 def wrapper(self, *args, **kwargs):8 self._temp_dic = {}9 try:10 for file_name in os.listdir(self._path):11 with open(self._path + os.path.sep + file_name) as f:12 self._temp_dict[file_name] = f.readline()13 except OSError:14 print("can't open " + str(self._path))15 return func(self, *args, **kwargs)16 return wrapper17class DirDict(MutableMapping):18 def __init__(self, path):19 self._path = path...

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