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2f08a3948366d88fc57c2679
train
function
def get_network(backbone_name, num_classes, platform="Ascend"): if backbone_name in ['resnext50']: return Resnet(backbone_name, num_classes, platform) return None
def get_network(backbone_name, num_classes, platform="Ascend"):
if backbone_name in ['resnext50']: return Resnet(backbone_name, num_classes, platform) return None
', cell.bn3.gamma.default_input.shape).to_tensor() elif isinstance(cell, backbones.resnet.BasicBlock): cell.bn2.gamma.default_input = init.initializer('zeros', cell.bn2.gamma.default_input.shape).to_tensor() def get_network(backbone_name, num_classes, platform="Ascend"):
64
64
42
15
49
Gavin-Hoang/mindspore
model_zoo/official/cv/resnext50/src/image_classification.py
Python
get_network
get_network
82
85
82
82
5d28c09c75912c9fbf0c7eccdc7514f663f07036
bigcode/the-stack
train
c5f93e3916c6b471ae097fc6
train
class
class ImageClassificationNetwork(nn.Cell): """ architecture of image classification network. Args: Returns: Tensor, output tensor. """ def __init__(self, backbone, head): super(ImageClassificationNetwork, self).__init__() self.backbone = backbone self.head = head...
class ImageClassificationNetwork(nn.Cell):
""" architecture of image classification network. Args: Returns: Tensor, output tensor. """ def __init__(self, backbone, head): super(ImageClassificationNetwork, self).__init__() self.backbone = backbone self.head = head def construct(self, x): x = s...
ifiation. """ import math import mindspore.nn as nn from mindspore.common import initializer as init import src.backbone as backbones import src.head as heads from src.utils.var_init import default_recurisive_init, KaimingNormal class ImageClassificationNetwork(nn.Cell):
64
64
90
7
56
Gavin-Hoang/mindspore
model_zoo/official/cv/resnext50/src/image_classification.py
Python
ImageClassificationNetwork
ImageClassificationNetwork
26
42
26
26
65744292c7b16d2efbbb041035bce73bb4fe6edf
bigcode/the-stack
train
48a2f5198ac93748f2dee62b
train
class
class Resnet(ImageClassificationNetwork): """ Resnet architecture. Args: backbone_name (string): backbone. num_classes (int): number of classes. Returns: Resnet. """ def __init__(self, backbone_name, num_classes, platform="Ascend"): self.backbone_name = backbone_n...
class Resnet(ImageClassificationNetwork):
""" Resnet architecture. Args: backbone_name (string): backbone. num_classes (int): number of classes. Returns: Resnet. """ def __init__(self, backbone_name, num_classes, platform="Ascend"): self.backbone_name = backbone_name backbone = backbones.__dict__[...
import src.head as heads from src.utils.var_init import default_recurisive_init, KaimingNormal class ImageClassificationNetwork(nn.Cell): """ architecture of image classification network. Args: Returns: Tensor, output tensor. """ def __init__(self, backbone, head): super(Imag...
122
122
408
7
114
Gavin-Hoang/mindspore
model_zoo/official/cv/resnext50/src/image_classification.py
Python
Resnet
Resnet
44
78
44
44
b8a7ce52101ad8e1ce819871610c13863c2c0961
bigcode/the-stack
train
4345fd7866aa6dbeb538872b
train
function
def run_fast_training_benchmark( execution_mode: str, params: config_definitions.ExperimentConfig, model_dir: str, distribution_strategy: tf.distribute.Strategy = None ) -> Mapping[str, Any]: """Runs benchmark for a fast training experiment. This benchmark tests and only tests the binary tensorfl...
def run_fast_training_benchmark( execution_mode: str, params: config_definitions.ExperimentConfig, model_dir: str, distribution_strategy: tf.distribute.Strategy = None ) -> Mapping[str, Any]:
"""Runs benchmark for a fast training experiment. This benchmark tests and only tests the binary tensorflow_models/official/modeling/fast_training/train.py Args: execution_mode: A 'str', specifying the mode. Can be 'accuracy', 'performance', or 'tflite_accuracy'. params: ExperimentConfig instanc...
_time wall_time = time.time() - first_loop_start_time examples_per_second = steps_per_loop * params.task.train_data.global_batch_size / second_loop_time benchmark_data.update( dict( examples_per_second=examples_per_second, wall_time=wall_time, startup_time=startup...
120
120
401
48
71
kalona/training-data-analyst
gc-ai-notebook-tutorials/src/models/official/benchmark/benchmark_lib.py
Python
run_fast_training_benchmark
run_fast_training_benchmark
138
186
138
143
83ac13f98eecc346032e14ffb8720298c7e36e72
bigcode/the-stack
train
141a61d3d944f00f8f4cba78
train
function
def run_benchmark( execution_mode: str, params: config_definitions.ExperimentConfig, model_dir: str, distribution_strategy: tf.distribute.Strategy = None ) -> Mapping[str, Any]: """Runs benchmark for a specific experiment. Args: execution_mode: A 'str', specifying the mode. Can be 'accuracy', ...
def run_benchmark( execution_mode: str, params: config_definitions.ExperimentConfig, model_dir: str, distribution_strategy: tf.distribute.Strategy = None ) -> Mapping[str, Any]:
"""Runs benchmark for a specific experiment. Args: execution_mode: A 'str', specifying the mode. Can be 'accuracy', 'performance', or 'tflite_accuracy'. params: ExperimentConfig instance. model_dir: A 'str', a path to store model checkpoints and summaries. distribution_strategy: A tf.distribu...
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 dis...
256
256
903
46
209
kalona/training-data-analyst
gc-ai-notebook-tutorials/src/models/official/benchmark/benchmark_lib.py
Python
run_benchmark
run_benchmark
33
135
33
38
48ea64f93e98de79749316f61e99ce0278e63ee3
bigcode/the-stack
train
3b04a7ebed2edafe678a063b
train
class
class TestTransactionData: @pytest.fixture(autouse=True) def before_each(self): """Fixture to execute asserts before and after a test is run""" # Setup yield # this is where the testing happens # Teardown def test_load_from_empty_dic(self): """should load an object...
class TestTransactionData: @pytest.fixture(autouse=True)
def before_each(self): """Fixture to execute asserts before and after a test is run""" # Setup yield # this is where the testing happens # Teardown def test_load_from_empty_dic(self): """should load an object from empty dictionary""" dic: RawTransactionData = di...
from datetime import date from decimal import Decimal from unittest.mock import MagicMock, patch from core import ( Balance, BalanceData, TransactionDataItem, BalanceType, RawTransactionData, TransactionData, TransactionDataConfig) from tests.test_piecash_helper import TestPiecashHelper import pytest @py...
99
256
1,835
14
85
guilhermevrs/gnucash_reports
tests/core/test_transaction_data.py
Python
TestTransactionData
TestTransactionData
18
209
18
20
b1a757ddc9e1ec48f4a50834669fff9936fa5d88
bigcode/the-stack
train
64171474d3e52a3b3bd485ca
train
function
@pytest.fixture(scope="class") def piecash_helper(): return TestPiecashHelper()
@pytest.fixture(scope="class") def piecash_helper():
return TestPiecashHelper()
import MagicMock, patch from core import ( Balance, BalanceData, TransactionDataItem, BalanceType, RawTransactionData, TransactionData, TransactionDataConfig) from tests.test_piecash_helper import TestPiecashHelper import pytest @pytest.fixture(scope="class") def piecash_helper():
64
64
19
11
52
guilhermevrs/gnucash_reports
tests/core/test_transaction_data.py
Python
piecash_helper
piecash_helper
13
15
13
14
36a148138ac784ca5f7c80739a204f43d260d018
bigcode/the-stack
train
8cd0a2b07283b1314a1ec6a6
train
function
def ctx_ian_sef_custom_config(config): assert(isinstance(config, IANSynonymEndsAndFramesConfig)) config.modify_bags_per_minibatch(2) config.modify_hidden_size(128) config.modify_cell_type(CellTypes.LSTM) config.modify_l2_reg(0.0) config.modify_learning_rate(0.1) config.modify_weight_initiali...
def ctx_ian_sef_custom_config(config):
assert(isinstance(config, IANSynonymEndsAndFramesConfig)) config.modify_bags_per_minibatch(2) config.modify_hidden_size(128) config.modify_cell_type(CellTypes.LSTM) config.modify_l2_reg(0.0) config.modify_learning_rate(0.1) config.modify_weight_initializer(tf.contrib.layers.xavier_initialize...
periments.callback import CustomCallback from rusentrel.ctx_names import ModelNames from arekit.contrib.experiments.engine import run_testing from rusentrel.classic.common import \ classic_ctx_common_config_settings, \ classic_common_callback_modification_func def ctx_ian_sef_custom_config(config):
64
64
112
10
53
nicolay-r/attitude-extraction-with-attention-and-ds
rusentrel/classic/ctx/ian_sef.py
Python
ctx_ian_sef_custom_config
ctx_ian_sef_custom_config
27
36
27
27
90bda4888644d45033a34eef9c7c8c2eabbf5232
bigcode/the-stack
train
3bcea2c0a4cfca340f8044ef
train
function
def run_testing_ian_sef(cv_count=1, name_prefix=u'', custom_config_func=ctx_ian_sef_custom_config, custom_callback_func=classic_common_callback_modification_func): run_testing(full_model_name=name_prefix + ModelNames().IANSynonymEndsAndFrames,...
def run_testing_ian_sef(cv_count=1, name_prefix=u'', custom_config_func=ctx_ian_sef_custom_config, custom_callback_func=classic_common_callback_modification_func):
run_testing(full_model_name=name_prefix + ModelNames().IANSynonymEndsAndFrames, create_network=IANSynonymEndsAndFrames, create_config=IANSynonymEndsAndFramesConfig, create_nn_io=RuSentRelBasedNeuralNetworkIO, cv_count=cv_count, create_m...
_dropout_rnn_keep_prob(0.8) config.modify_gpu_memory_fraction(0.7) def run_testing_ian_sef(cv_count=1, name_prefix=u'', custom_config_func=ctx_ian_sef_custom_config, custom_callback_func=classic_common_callback_modification_func):
64
64
181
43
21
nicolay-r/attitude-extraction-with-attention-and-ds
rusentrel/classic/ctx/ian_sef.py
Python
run_testing_ian_sef
run_testing_ian_sef
39
55
39
43
afaac2859b7ec03ee04d2c63b3596df250c69517
bigcode/the-stack
train
51715824bd977d6307ac29ec
train
function
def create_logger(logger_name, log_file): ''' Create a logger. The same logger object will be active all through out the python interpreter process. https://docs.python.org/2/howto/logging-cookbook.html Use logger = logging.getLogger(logger_name) to obtain logging all through out ''' ...
def create_logger(logger_name, log_file):
''' Create a logger. The same logger object will be active all through out the python interpreter process. https://docs.python.org/2/howto/logging-cookbook.html Use logger = logging.getLogger(logger_name) to obtain logging all through out ''' logger = logging.getLogger(logger_name)...
import logging import sys def create_logger(logger_name, log_file):
15
76
256
9
5
aagnone3/dc19t2
src/utils/Logger.py
Python
create_logger
create_logger
5
33
5
5
cf836eaad144e9c213138ef912c358d91ef41265
bigcode/the-stack
train
7cbb3e5a2ca3aec1d74e45e5
train
function
def summation_of_cost_derivative(index, end=m): """ Calculates the sum of cost function derivative :param index: index wrt derivative is being calculated :param end: value where summation ends, default is m, number of examples :return: Returns the summation of cost derivative Note: If index is -...
def summation_of_cost_derivative(index, end=m):
""" Calculates the sum of cost function derivative :param index: index wrt derivative is being calculated :param end: value where summation ends, default is m, number of examples :return: Returns the summation of cost derivative Note: If index is -1, this means we are calculating summation wrt t...
hypothesis value for that example """ if data_set == "train": return _hypothesis_value(train_data[example_no][0]) elif data_set == "test": return _hypothesis_value(test_data[example_no][0]) def summation_of_cost_derivative(index, end=m):
64
64
151
12
52
liuyangc3/viztracer
example/src/gradient_descent.py
Python
summation_of_cost_derivative
summation_of_cost_derivative
75
90
75
75
6215b20ab921381ca572bfa4ab3d6308e0bb2244
bigcode/the-stack
train
56b9b650b885c4b92a1b7fff
train
function
def run_gradient_descent(): global parameter_vector # Tune these values to set a tolerance value for predicted output absolute_error_limit = 0.004 relative_error_limit = 0 j = 0 while True: j += 1 temp_parameter_vector = [0, 0, 0, 0] err = 0 for i in range(0, len(...
def run_gradient_descent():
global parameter_vector # Tune these values to set a tolerance value for predicted output absolute_error_limit = 0.004 relative_error_limit = 0 j = 0 while True: j += 1 temp_parameter_vector = [0, 0, 0, 0] err = 0 for i in range(0, len(parameter_vector)): ...
wrt to that index Note: If index is -1, this means we are calculating summation wrt to biased parameter. """ cost_derivative_value = summation_of_cost_derivative(index, m) / m return cost_derivative_value def run_gradient_descent():
64
64
203
6
57
liuyangc3/viztracer
example/src/gradient_descent.py
Python
run_gradient_descent
run_gradient_descent
104
129
104
104
f875aebb86e6058debae5fe68a2374ad48be1002
bigcode/the-stack
train
45c92c51c961de48d3015972
train
function
def _error(example_no, data_set="train"): """ :param data_set: train data or test data :param example_no: example number whose error has to be checked :return: error in example pointed by example number. """ return calculate_hypothesis_value(example_no, data_set) - output( example_no, da...
def _error(example_no, data_set="train"):
""" :param data_set: train data or test data :param example_no: example number whose error has to be checked :return: error in example pointed by example number. """ return calculate_hypothesis_value(example_no, data_set) - output( example_no, data_set )
515, 22, 13), 555), ((61, 35, 49), 150)) parameter_vector = [2, 4, 1, 5] m = len(train_data) LEARNING_RATE = 0.009 def _error(example_no, data_set="train"):
64
64
79
11
52
liuyangc3/viztracer
example/src/gradient_descent.py
Python
_error
_error
23
31
23
23
efc64b00741237f92d7ab62a2282f048f210b23d
bigcode/the-stack
train
525977728f0eadec7e4b73e2
train
function
def _hypothesis_value(data_input_tuple): """ Calculates hypothesis function value for a given input :param data_input_tuple: Input tuple of a particular example :return: Value of hypothesis function at that point. Note that there is an 'biased input' whose value is fixed as 1. It is not explicit...
def _hypothesis_value(data_input_tuple):
""" Calculates hypothesis function value for a given input :param data_input_tuple: Input tuple of a particular example :return: Value of hypothesis function at that point. Note that there is an 'biased input' whose value is fixed as 1. It is not explicitly mentioned in input data.. But, ML hypo...
:param example_no: example number whose error has to be checked :return: error in example pointed by example number. """ return calculate_hypothesis_value(example_no, data_set) - output( example_no, data_set ) def _hypothesis_value(data_input_tuple):
64
64
156
9
55
liuyangc3/viztracer
example/src/gradient_descent.py
Python
_hypothesis_value
_hypothesis_value
34
47
34
34
a0912973639a08ca475449cd125578e7ffa56d97
bigcode/the-stack
train
ffe2b42434b3490c34ae5d57
train
function
def test_gradient_descent(): for i in range(len(test_data)): print(("Actual output value:", output(i, "test"))) print(("Hypothesis output:", calculate_hypothesis_value(i, "test")))
def test_gradient_descent():
for i in range(len(test_data)): print(("Actual output value:", output(i, "test"))) print(("Hypothesis output:", calculate_hypothesis_value(i, "test")))
.log(1+err) if numpy.allclose( parameter_vector, temp_parameter_vector, atol=absolute_error_limit, rtol=relative_error_limit, ): break parameter_vector = temp_parameter_vector print(("Number of iterations:", j)) def test_gradient_de...
64
64
45
6
58
liuyangc3/viztracer
example/src/gradient_descent.py
Python
test_gradient_descent
test_gradient_descent
132
135
132
132
4a87c21198839c042203e5a03a0591856c5c7c6c
bigcode/the-stack
train
88e3a75caaf44b6d7ee4b354
train
function
def calculate_hypothesis_value(example_no, data_set): """ Calculates hypothesis value for a given example :param data_set: test data or train_data :param example_no: example whose hypothesis value is to be calculated :return: hypothesis value for that example """ if data_set == "train": ...
def calculate_hypothesis_value(example_no, data_set):
""" Calculates hypothesis value for a given example :param data_set: test data or train_data :param example_no: example whose hypothesis value is to be calculated :return: hypothesis value for that example """ if data_set == "train": return _hypothesis_value(train_data[example_no][0]...
is to be fetched :return: output for that example """ if data_set == "train": return train_data[example_no][1] elif data_set == "test": return test_data[example_no][1] def calculate_hypothesis_value(example_no, data_set):
64
64
106
12
52
liuyangc3/viztracer
example/src/gradient_descent.py
Python
calculate_hypothesis_value
calculate_hypothesis_value
62
72
62
62
14445fc79d34c973d29641b154e9d602041268e2
bigcode/the-stack
train
dd76357ee670126fe777e920
train
function
def get_cost_derivative(index): """ :param index: index of the parameter vector wrt to derivative is to be calculated :return: derivative wrt to that index Note: If index is -1, this means we are calculating summation wrt to biased parameter. """ cost_derivative_value = summation_of_cost...
def get_cost_derivative(index):
""" :param index: index of the parameter vector wrt to derivative is to be calculated :return: derivative wrt to that index Note: If index is -1, this means we are calculating summation wrt to biased parameter. """ cost_derivative_value = summation_of_cost_derivative(index, m) / m re...
summation_value = 0 for i in range(end): if index == -1: summation_value += _error(i) else: summation_value += _error(i) * train_data[i][0][index] return summation_value def get_cost_derivative(index):
64
64
91
7
56
liuyangc3/viztracer
example/src/gradient_descent.py
Python
get_cost_derivative
get_cost_derivative
93
101
93
93
a27ee257ae628def52784870757081ad3c1b20a6
bigcode/the-stack
train
fa5a06dd5475dc994ba68ff5
train
function
def output(example_no, data_set): """ :param data_set: test data or train data :param example_no: example whose output is to be fetched :return: output for that example """ if data_set == "train": return train_data[example_no][1] elif data_set == "test": return test_data[exam...
def output(example_no, data_set):
""" :param data_set: test data or train data :param example_no: example whose output is to be fetched :return: output for that example """ if data_set == "train": return train_data[example_no][1] elif data_set == "test": return test_data[example_no][1]
of it. """ hyp_val = 0 for i in range(len(parameter_vector) - 1): hyp_val += data_input_tuple[i] * parameter_vector[i + 1] hyp_val += parameter_vector[0] return hyp_val def output(example_no, data_set):
64
64
83
8
55
liuyangc3/viztracer
example/src/gradient_descent.py
Python
output
output
50
59
50
50
90c1671597964e72b3fd967416504cf6fa902075
bigcode/the-stack
train
4f5e8cb76806c2f105a67d6c
train
function
def api_system_assign(ref, value, validate_shape=None, use_locking=None, name=None): api = enable_if.unique([lazy_system_assign, eager_system_assign]) return api( ref, value, validate_shape=validate_shape, use_locking=use_locking, name=name )
def api_system_assign(ref, value, validate_shape=None, use_locking=None, name=None):
api = enable_if.unique([lazy_system_assign, eager_system_assign]) return api( ref, value, validate_shape=validate_shape, use_locking=use_locking, name=name )
istent_user_op_builder(name) .Op("assign") .Input("ref", [ref]) .Input("value", [value]) .Build() ) op.InferAndTryRun() def api_system_assign(ref, value, validate_shape=None, use_locking=None, name=None):
64
64
63
20
44
wangyuyue/oneflow
python/oneflow/compatible/single_client/ops/assign_op.py
Python
api_system_assign
api_system_assign
45
49
45
45
ecfccb06051ba553ec239e6b150db71224857bd2
bigcode/the-stack
train
65e212d5cf63558d37438687
train
function
def _SystemAssignOpConf(ref, value, name=None): if name is None: name = id_util.UniqueStr("Assign_") op_conf = op_conf_util.OperatorConf() op_conf.name = name op_conf.assign_conf.ref = ref.unique_name op_conf.assign_conf.value = value.unique_name return op_conf
def _SystemAssignOpConf(ref, value, name=None):
if name is None: name = id_util.UniqueStr("Assign_") op_conf = op_conf_util.OperatorConf() op_conf.name = name op_conf.assign_conf.ref = ref.unique_name op_conf.assign_conf.value = value.unique_name return op_conf
assert hob.eager_execution_enabled(None) oneflow._oneflow_internal.deprecated.LogicalRun( lambda builder: builder.Build121AssignInstruction( ref.blob_object, value.blob_object ) ) return ref def _SystemAssignOpConf(ref, value, name=None):
64
64
74
13
50
wangyuyue/oneflow
python/oneflow/compatible/single_client/ops/assign_op.py
Python
_SystemAssignOpConf
_SystemAssignOpConf
90
97
90
90
c7e8d7c0af8e9493f7e2535339d1cdc86c4b14ad
bigcode/the-stack
train
35e78a6d4d522156017aafaa
train
function
@enable_if.condition(hob.in_global_mode & ~hob.eager_execution_enabled) def lazy_system_assign(ref, value, validate_shape=None, use_locking=None, name=None): op_conf = _SystemAssignOpConf(ref, value, name=name) ( device_tag, machine_device_ids, hierarchy, ) = oneflow._oneflow_interna...
@enable_if.condition(hob.in_global_mode & ~hob.eager_execution_enabled) def lazy_system_assign(ref, value, validate_shape=None, use_locking=None, name=None):
op_conf = _SystemAssignOpConf(ref, value, name=name) ( device_tag, machine_device_ids, hierarchy, ) = oneflow._oneflow_internal.GetDeviceTagAndMachineDeviceIdsAndHierarchy( ref.parallel_conf ) if hierarchy is not None: hierarchy = tuple(hierarchy.dim()) wi...
return api( ref, value, validate_shape=validate_shape, use_locking=use_locking, name=name ) @enable_if.condition(hob.in_global_mode & ~hob.eager_execution_enabled) def lazy_system_assign(ref, value, validate_shape=None, use_locking=None, name=None):
64
64
135
37
27
wangyuyue/oneflow
python/oneflow/compatible/single_client/ops/assign_op.py
Python
lazy_system_assign
lazy_system_assign
52
66
52
53
a4d2bf0585e4ce99544eb38c290eb6434b24cbdc
bigcode/the-stack
train
d45748af32b3225550e7f024
train
function
def assign(ref, value, dtype=None, name=None): if name is None: name = id_util.UniqueStr("Assign_") op = ( flow.consistent_user_op_builder(name) .Op("assign") .Input("ref", [ref]) .Input("value", [value]) .Build() ) op.InferAndTryRun()
def assign(ref, value, dtype=None, name=None):
if name is None: name = id_util.UniqueStr("Assign_") op = ( flow.consistent_user_op_builder(name) .Op("assign") .Input("ref", [ref]) .Input("value", [value]) .Build() ) op.InferAndTryRun()
as remote_blob_util from oneflow.compatible.single_client.support import enable_if as enable_if from oneflow.core.operator import op_conf_pb2 as op_conf_util from oneflow.core.register import logical_blob_id_pb2 as logical_blob_id_util def assign(ref, value, dtype=None, name=None):
64
64
80
12
51
wangyuyue/oneflow
python/oneflow/compatible/single_client/ops/assign_op.py
Python
assign
assign
32
42
32
32
2311f5c885a83cfdafc268ad31dbe4d8fcea7113
bigcode/the-stack
train
d3511691d347dc2b47e9aeac
train
function
def api_one_to_one_assign(ref, value): assert hob.eager_execution_enabled(None) oneflow._oneflow_internal.deprecated.LogicalRun( lambda builder: builder.Build121AssignInstruction( ref.blob_object, value.blob_object ) ) return ref
def api_one_to_one_assign(ref, value):
assert hob.eager_execution_enabled(None) oneflow._oneflow_internal.deprecated.LogicalRun( lambda builder: builder.Build121AssignInstruction( ref.blob_object, value.blob_object ) ) return ref
(ref, value, name=name) oneflow._oneflow_internal.deprecated.LogicalRun( lambda builder: boxing_util.BuildAssignInstruction( builder, ref.blob_object, value.blob_object, op_conf ) ) return ref def api_one_to_one_assign(ref, value):
64
64
61
10
53
wangyuyue/oneflow
python/oneflow/compatible/single_client/ops/assign_op.py
Python
api_one_to_one_assign
api_one_to_one_assign
80
87
80
80
b848185c5857bae4797a4d1a6baafc75996db209
bigcode/the-stack
train
559e8b1ba8893cee194a6986
train
function
@enable_if.condition(hob.in_global_mode & hob.eager_execution_enabled) def eager_system_assign(ref, value, validate_shape=None, use_locking=None, name=None): op_conf = _SystemAssignOpConf(ref, value, name=name) oneflow._oneflow_internal.deprecated.LogicalRun( lambda builder: boxing_util.BuildAssignInstr...
@enable_if.condition(hob.in_global_mode & hob.eager_execution_enabled) def eager_system_assign(ref, value, validate_shape=None, use_locking=None, name=None):
op_conf = _SystemAssignOpConf(ref, value, name=name) oneflow._oneflow_internal.deprecated.LogicalRun( lambda builder: boxing_util.BuildAssignInstruction( builder, ref.blob_object, value.blob_object, op_conf ) ) return ref
()) with flow.scope.placement(device_tag, machine_device_ids, hierarchy): interpret_util.Forward(op_conf) return ref @enable_if.condition(hob.in_global_mode & hob.eager_execution_enabled) def eager_system_assign(ref, value, validate_shape=None, use_locking=None, name=None):
64
64
99
36
27
wangyuyue/oneflow
python/oneflow/compatible/single_client/ops/assign_op.py
Python
eager_system_assign
eager_system_assign
69
77
69
70
dcce6018dfb221aeee301d91a9d2152a2c483a8b
bigcode/the-stack
train
ed6d9f92f60e822fca793da4
train
class
class UserProfileIndex(indexes.SearchIndex, indexes.Indexable): """User Profile Search Index.""" # Primary field of the index text = indexes.CharField(document=True, use_template=True) # profile information full_name = indexes.CharField(model_attr='full_name') privacy_full_name = indexes.Integer...
class UserProfileIndex(indexes.SearchIndex, indexes.Indexable):
"""User Profile Search Index.""" # Primary field of the index text = indexes.CharField(document=True, use_template=True) # profile information full_name = indexes.CharField(model_attr='full_name') privacy_full_name = indexes.IntegerField(model_attr='privacy_full_name') email = indexes.CharFi...
from haystack import indexes from mozillians.users.models import IdpProfile, UserProfile class UserProfileIndex(indexes.SearchIndex, indexes.Indexable):
33
103
345
13
19
LeoMcA/vouched-mozillians
mozillians/users/search_indexes.py
Python
UserProfileIndex
UserProfileIndex
5
40
5
5
529dea4703292b64ff9152e5686ed7fe02b096aa
bigcode/the-stack
train
cfa4b88001ac2eb8a8d62f9a
train
class
class IdpProfileIndex(indexes.SearchIndex, indexes.Indexable): """IdpProfile Profile Search Index.""" # Primary field of the index text = indexes.CharField(document=True, use_template=True) # IdpProfile information iemail = indexes.CharField(model_attr='email') privacy_iemail = indexes.IntegerFi...
class IdpProfileIndex(indexes.SearchIndex, indexes.Indexable):
"""IdpProfile Profile Search Index.""" # Primary field of the index text = indexes.CharField(document=True, use_template=True) # IdpProfile information iemail = indexes.CharField(model_attr='email') privacy_iemail = indexes.IntegerField(model_attr='privacy') iusername = indexes.CharField(mod...
already in the IdpProfiles if not obj.idp_profiles.exists(): return obj.email return '' def index_queryset(self, using=None): """Exclude incomplete profiles from indexing.""" return self.get_model().objects.complete() class IdpProfileIndex(indexes.SearchIndex, indexes.I...
64
64
206
14
50
LeoMcA/vouched-mozillians
mozillians/users/search_indexes.py
Python
IdpProfileIndex
IdpProfileIndex
43
66
43
43
741d742095db65fa8dae1047aa6eb388ca49ef69
bigcode/the-stack
train
148fe7c556c72a3453805dab
train
class
@dataclass class DataclassFieldInfo: field: Field wanted_value: any = None has_same_characteristics: bool = True fields: List[DataclassFieldInfo] = None def fields_are_similar(self) -> bool: are_similar = self.has_same_characteristics if are_similar and self.fields: for ...
@dataclass class DataclassFieldInfo:
field: Field wanted_value: any = None has_same_characteristics: bool = True fields: List[DataclassFieldInfo] = None def fields_are_similar(self) -> bool: are_similar = self.has_same_characteristics if are_similar and self.fields: for field in self.fields: ...
from __future__ import annotations from dataclasses import dataclass, Field, fields, is_dataclass from typing import Optional, List @dataclass class DataclassFieldInfo:
38
64
100
9
28
fr-froussel/PyObjectToDataclass
object2dataclass.py
Python
DataclassFieldInfo
DataclassFieldInfo
7
19
7
8
db33fef0db42fb8ba8ed2b461523b987edd5350d
bigcode/the-stack
train
0e0358be289954872df7ecef
train
class
class Object2Dataclass: @staticmethod def __extract_dataclass_fields(dc: any, dc_fields: List[DataclassFieldInfo]): if dc is None: error_message = 'The dataclass is not valid' raise ValueError(error_message) for dc_field in fields(dc): dc_fields.append(Datacl...
class Object2Dataclass: @staticmethod
def __extract_dataclass_fields(dc: any, dc_fields: List[DataclassFieldInfo]): if dc is None: error_message = 'The dataclass is not valid' raise ValueError(error_message) for dc_field in fields(dc): dc_fields.append(DataclassFieldInfo(field=dc_field)) ...
from __future__ import annotations from dataclasses import dataclass, Field, fields, is_dataclass from typing import Optional, List @dataclass class DataclassFieldInfo: field: Field wanted_value: any = None has_same_characteristics: bool = True fields: List[DataclassFieldInfo] = None def fields_...
139
256
904
10
128
fr-froussel/PyObjectToDataclass
object2dataclass.py
Python
Object2Dataclass
Object2Dataclass
22
125
22
23
6aa98315989d6d8af5affb4ff672fe9fb0bfe535
bigcode/the-stack
train
ec350de077021caecea9da05
train
class
class Migration(migrations.Migration): dependencies = [ ('pokequest', '0010_auto_20150826_1936'), ] operations = [ migrations.RenameField( model_name='player', old_name='puzzle1', new_name='score', ), migrations.RemoveField( m...
class Migration(migrations.Migration):
dependencies = [ ('pokequest', '0010_auto_20150826_1936'), ] operations = [ migrations.RenameField( model_name='player', old_name='puzzle1', new_name='score', ), migrations.RemoveField( model_name='player', name='pu...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration):
31
64
184
7
23
sagarmanchanda/PokeQuest
poketech/pokequest/migrations/0011_auto_20150829_1618.py
Python
Migration
Migration
7
43
7
8
ac8ffdf2f638f10f8892d7f3e89569d08d0a6162
bigcode/the-stack
train
6a52020a269e9efae6f60fcc
train
class
class HypervisorResourceError(OpTestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.HMI_HYPERVISOR_RESOURCE_ERROR) self.clearGardEntries()
class HypervisorResourceError(OpTestHMIHandling):
def runTest(self): self._testHMIHandling(BMC_CONST.HMI_HYPERVISOR_RESOURCE_ERROR) self.clearGardEntries()
MIHandling(BMC_CONST.HMI_PROC_RECV_ERROR_MASKED) class MalfunctionAlert(OpTestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.HMI_MALFUNCTION_ALERT) self.clearGardEntries() class HypervisorResourceError(OpTestHMIHandling):
64
64
43
11
53
apopple/op-test-framework
testcases/OpTestHMIHandling.py
Python
HypervisorResourceError
HypervisorResourceError
653
656
653
653
ee64cd35adcc11aefba338c4a01c0c1a05a11918
bigcode/the-stack
train
9af76db5d807c96164ab93bd
train
class
class TOD_ERRORS(OpTestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.TOD_ERRORS)
class TOD_ERRORS(OpTestHMIHandling):
def runTest(self): self._testHMIHandling(BMC_CONST.TOD_ERRORS)
.run_command("dmesg") self.verify_timer_facility_recovery(l_res) return class HMI_TFMR_ERRORS(OpTestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.TFMR_ERRORS) class TOD_ERRORS(OpTestHMIHandling):
64
64
29
9
55
apopple/op-test-framework
testcases/OpTestHMIHandling.py
Python
TOD_ERRORS
TOD_ERRORS
628
630
628
628
92013b9a1ae9fc457a2f44711dcdc1840f9fb26a
bigcode/the-stack
train
810c5d2ebe19789111050827
train
function
def experimental_suite(): s = unittest.TestSuite() s.addTest(TOD_ERRORS()) s.addTest(SingleCoreTOD_ERRORS()) return s
def experimental_suite():
s = unittest.TestSuite() s.addTest(TOD_ERRORS()) s.addTest(SingleCoreTOD_ERRORS()) return s
()) return s def suite(): s = unittest.TestSuite() s.addTest(HMI_TFMR_ERRORS()) s.addTest(PROC_RECOV_DONE()) s.addTest(PROC_RECV_ERROR_MASKED()) s.addTest(TOD_ERRORS()) return s def experimental_suite():
64
64
33
4
59
apopple/op-test-framework
testcases/OpTestHMIHandling.py
Python
experimental_suite
experimental_suite
677
681
677
677
d5a6ffb277112972c21253d71433cce49c7642e1
bigcode/the-stack
train
36a484d331b0b264f144e3d9
train
function
def unrecoverable_suite(): s = unittest.TestSuite() s.addTest(MalfunctionAlert()) s.addTest(HypervisorResourceError()) s.addTest(ClearGard()) return s
def unrecoverable_suite():
s = unittest.TestSuite() s.addTest(MalfunctionAlert()) s.addTest(HypervisorResourceError()) s.addTest(ClearGard()) return s
TestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.HMI_HYPERVISOR_RESOURCE_ERROR) self.clearGardEntries() class ClearGard(OpTestHMIHandling): def runTest(self): self.clearGardEntries() def unrecoverable_suite():
64
64
44
6
58
apopple/op-test-framework
testcases/OpTestHMIHandling.py
Python
unrecoverable_suite
unrecoverable_suite
662
667
662
662
420f422facda3384d50dbd43c3ecae1e9b00c5b5
bigcode/the-stack
train
a01e5f72ab04da5c4d909ad0
train
class
class SingleCoreTOD_ERRORS(OpTestHMIHandling): def setUp(self): super(SingleCoreTOD_ERRORS, self).setUp() self.cv_HOST.host_enable_single_core(console=1) def runTest(self): self._testHMIHandling(BMC_CONST.TOD_ERRORS)
class SingleCoreTOD_ERRORS(OpTestHMIHandling):
def setUp(self): super(SingleCoreTOD_ERRORS, self).setUp() self.cv_HOST.host_enable_single_core(console=1) def runTest(self): self._testHMIHandling(BMC_CONST.TOD_ERRORS)
MIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.TFMR_ERRORS) class TOD_ERRORS(OpTestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.TOD_ERRORS) class SingleCoreTOD_ERRORS(OpTestHMIHandling):
64
64
62
11
53
apopple/op-test-framework
testcases/OpTestHMIHandling.py
Python
SingleCoreTOD_ERRORS
SingleCoreTOD_ERRORS
632
638
632
632
53846d5d3dd1a1e1e1bb39cc52f7b90c37b4eb13
bigcode/the-stack
train
625bafb2d443906ae97bcfbc
train
class
class MalfunctionAlert(OpTestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.HMI_MALFUNCTION_ALERT) self.clearGardEntries()
class MalfunctionAlert(OpTestHMIHandling):
def runTest(self): self._testHMIHandling(BMC_CONST.HMI_MALFUNCTION_ALERT) self.clearGardEntries()
self._testHMIHandling(BMC_CONST.HMI_PROC_RECV_DONE) class PROC_RECV_ERROR_MASKED(OpTestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.HMI_PROC_RECV_ERROR_MASKED) class MalfunctionAlert(OpTestHMIHandling):
64
64
39
10
54
apopple/op-test-framework
testcases/OpTestHMIHandling.py
Python
MalfunctionAlert
MalfunctionAlert
648
651
648
648
7ced782145187a353c7b06bc94687b6353012cef
bigcode/the-stack
train
e8644c872629e2b9f7e4a0fa
train
class
class PROC_RECV_ERROR_MASKED(OpTestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.HMI_PROC_RECV_ERROR_MASKED)
class PROC_RECV_ERROR_MASKED(OpTestHMIHandling):
def runTest(self): self._testHMIHandling(BMC_CONST.HMI_PROC_RECV_ERROR_MASKED)
Test(self): self._testHMIHandling(BMC_CONST.TOD_ERRORS) class PROC_RECOV_DONE(OpTestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.HMI_PROC_RECV_DONE) class PROC_RECV_ERROR_MASKED(OpTestHMIHandling):
64
64
38
13
51
apopple/op-test-framework
testcases/OpTestHMIHandling.py
Python
PROC_RECV_ERROR_MASKED
PROC_RECV_ERROR_MASKED
644
646
644
644
e3ff61c183a356e80bbd3e00c8f1d1145c7eb690
bigcode/the-stack
train
ed37dba476ffde562e1ba3c4
train
function
def suite(): s = unittest.TestSuite() s.addTest(HMI_TFMR_ERRORS()) s.addTest(PROC_RECOV_DONE()) s.addTest(PROC_RECV_ERROR_MASKED()) s.addTest(TOD_ERRORS()) return s
def suite():
s = unittest.TestSuite() s.addTest(HMI_TFMR_ERRORS()) s.addTest(PROC_RECOV_DONE()) s.addTest(PROC_RECV_ERROR_MASKED()) s.addTest(TOD_ERRORS()) return s
TestHMIHandling): def runTest(self): self.clearGardEntries() def unrecoverable_suite(): s = unittest.TestSuite() s.addTest(MalfunctionAlert()) s.addTest(HypervisorResourceError()) s.addTest(ClearGard()) return s def suite():
64
64
55
3
60
apopple/op-test-framework
testcases/OpTestHMIHandling.py
Python
suite
suite
669
675
669
669
e8daff094b27f6343a1e463b856ff6d918a35934
bigcode/the-stack
train
d1f69426069cc5348937b903
train
class
class ClearGard(OpTestHMIHandling): def runTest(self): self.clearGardEntries()
class ClearGard(OpTestHMIHandling):
def runTest(self): self.clearGardEntries()
MI_MALFUNCTION_ALERT) self.clearGardEntries() class HypervisorResourceError(OpTestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.HMI_HYPERVISOR_RESOURCE_ERROR) self.clearGardEntries() class ClearGard(OpTestHMIHandling):
64
64
21
9
55
apopple/op-test-framework
testcases/OpTestHMIHandling.py
Python
ClearGard
ClearGard
658
660
658
658
091322bb99448a57d5e28c362c1bc564c522e362
bigcode/the-stack
train
6bcad0e5c658b10a38d13373
train
class
class HMI_TFMR_ERRORS(OpTestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.TFMR_ERRORS)
class HMI_TFMR_ERRORS(OpTestHMIHandling):
def runTest(self): self._testHMIHandling(BMC_CONST.TFMR_ERRORS)
("TOD: PSS Hamming distance error injection failed %s", str(cf)) time.sleep(0.2) l_res = console.run_command("dmesg") self.verify_timer_facility_recovery(l_res) return class HMI_TFMR_ERRORS(OpTestHMIHandling):
64
64
34
13
50
apopple/op-test-framework
testcases/OpTestHMIHandling.py
Python
HMI_TFMR_ERRORS
HMI_TFMR_ERRORS
624
626
624
624
c1b0eea7722e6abbf47065d47065e46c42f771c2
bigcode/the-stack
train
a4841425236c58943956cd7a
train
class
class PROC_RECOV_DONE(OpTestHMIHandling): def runTest(self): self._testHMIHandling(BMC_CONST.HMI_PROC_RECV_DONE)
class PROC_RECOV_DONE(OpTestHMIHandling):
def runTest(self): self._testHMIHandling(BMC_CONST.HMI_PROC_RECV_DONE)
Handling): def setUp(self): super(SingleCoreTOD_ERRORS, self).setUp() self.cv_HOST.host_enable_single_core(console=1) def runTest(self): self._testHMIHandling(BMC_CONST.TOD_ERRORS) class PROC_RECOV_DONE(OpTestHMIHandling):
64
64
34
11
53
apopple/op-test-framework
testcases/OpTestHMIHandling.py
Python
PROC_RECOV_DONE
PROC_RECOV_DONE
640
642
640
640
c9a32452383ff48660ac5e8c5918ade28522324c
bigcode/the-stack
train
c9e25bec62f6250f8e467765
train
class
class OpTestHMIHandling(unittest.TestCase): @classmethod def setUpClass(cls): conf = OpTestConfiguration.conf cls.cv_HOST = conf.host() cls.cv_IPMI = conf.ipmi() cls.cv_FSP = conf.bmc() cls.cv_SYSTEM = conf.system() cls.bmc_type = conf.args.bmc_type cls.ut...
class OpTestHMIHandling(unittest.TestCase): @classmethod
def setUpClass(cls): conf = OpTestConfiguration.conf cls.cv_HOST = conf.host() cls.cv_IPMI = conf.ipmi() cls.cv_FSP = conf.bmc() cls.cv_SYSTEM = conf.system() cls.bmc_type = conf.args.bmc_type cls.util = conf.util def setUp(self): if self.cv_SYSTE...
ANY KIND, either express or # implied. See the License for the specific language governing # permissions and limitations under the License. # # IBM_PROLOG_END_TAG ''' OpTestHMIHandling ----------------- HMI Handling package for OpenPower testing. This class will test the functionality of following. 1. HMI Non-reco...
256
256
6,433
14
242
apopple/op-test-framework
testcases/OpTestHMIHandling.py
Python
OpTestHMIHandling
OpTestHMIHandling
61
622
61
62
7508113820162a9b01a7065b1173ad95ec7bae49
bigcode/the-stack
train
376cf7696d8041698ccfd5b1
train
class
class ManagedClusterPodIdentityException(Model): """ManagedClusterPodIdentityException. All required parameters must be populated in order to send to Azure. :param name: Required. Name of the pod identity exception. :type name: str :param namespace: Required. Namespace of the pod identity exceptio...
class ManagedClusterPodIdentityException(Model):
"""ManagedClusterPodIdentityException. All required parameters must be populated in order to send to Azure. :param name: Required. Name of the pod identity exception. :type name: str :param namespace: Required. Namespace of the pod identity exception. :type namespace: str :param pod_labels...
*, name: str, namespace: str, identity, **kwargs) -> None: super(ManagedClusterPodIdentity, self).__init__(**kwargs) self.name = name self.namespace = namespace self.identity = identity self.provisioning_state = None self.provisioning_info = None class ManagedClusterPodI...
76
76
254
8
67
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterPodIdentityException
ManagedClusterPodIdentityException
2,170
2,199
2,170
2,170
cc2d41475a63eb8b9cca9d0e065dfc95e62f6d7a
bigcode/the-stack
train
7f8e1dcc821a57620191d7df
train
class
class TimeSpan(Model): """The time span with start and end properties. :param start: The start of a time span :type start: datetime :param end: The end of a time span :type end: datetime """ _attribute_map = { 'start': {'key': 'start', 'type': 'iso-8601'}, 'end': {'key': 'e...
class TimeSpan(Model):
"""The time span with start and end properties. :param start: The start of a time span :type start: datetime :param end: The end of a time span :type end: datetime """ _attribute_map = { 'start': {'key': 'start', 'type': 'iso-8601'}, 'end': {'key': 'end', 'type': 'iso-8601'...
Slots', 'type': '[int]'}, } def __init__(self, *, day=None, hour_slots=None, **kwargs) -> None: super(TimeInWeek, self).__init__(**kwargs) self.day = day self.hour_slots = hour_slots class TimeSpan(Model):
64
64
146
5
58
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
TimeSpan
TimeSpan
3,025
3,042
3,025
3,025
7ae404df5f64ece3c44a69a618ac250415e03843
bigcode/the-stack
train
61df891454ff494b64046cef
train
class
class LinuxOSConfig(Model): """OS configurations of Linux agent nodes. :param sysctls: Sysctl settings for Linux agent nodes. :type sysctls: ~azure.mgmt.containerservice.v2020_12_01.models.SysctlConfig :param transparent_huge_page_enabled: Transparent Huge Page enabled configuration. :typ...
class LinuxOSConfig(Model):
"""OS configurations of Linux agent nodes. :param sysctls: Sysctl settings for Linux agent nodes. :type sysctls: ~azure.mgmt.containerservice.v2020_12_01.models.SysctlConfig :param transparent_huge_page_enabled: Transparent Huge Page enabled configuration. :type transparent_huge_page_enab...
_quota_period self.image_gc_high_threshold = image_gc_high_threshold self.image_gc_low_threshold = image_gc_low_threshold self.topology_manager_policy = topology_manager_policy self.allowed_unsafe_sysctls = allowed_unsafe_sysctls self.fail_swap_on = fail_swap_on self.cont...
110
110
369
6
103
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
LinuxOSConfig
LinuxOSConfig
971
1,000
971
971
42f9a5f1bbf65a2f5db3490dcf25a8b25e6f9cae
bigcode/the-stack
train
4f9e1f2eaaac9f48d9525e11
train
class
class ManagedClusterAddonProfileIdentity(UserAssignedIdentity): """Information of user assigned identity used by this add-on. :param resource_id: The resource id of the user assigned identity. :type resource_id: str :param client_id: The client id of the user assigned identity. :type client_id: str...
class ManagedClusterAddonProfileIdentity(UserAssignedIdentity):
"""Information of user assigned identity used by this add-on. :param resource_id: The resource id of the user assigned identity. :type resource_id: str :param client_id: The client id of the user assigned identity. :type client_id: str :param object_id: The object id of the user assigned identi...
, client_id: str=None, object_id: str=None, **kwargs) -> None: super(UserAssignedIdentity, self).__init__(**kwargs) self.resource_id = resource_id self.client_id = client_id self.object_id = object_id class ManagedClusterAddonProfileIdentity(UserAssignedIdentity):
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55
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterAddonProfileIdentity
ManagedClusterAddonProfileIdentity
1,411
1,429
1,411
1,411
62b47b4a23d435f0f3e36ae1b4d3e09ad6a7d70c
bigcode/the-stack
train
157d0b07ad9ef44c685f57be
train
class
class ManagedClusterAutoUpgradeProfile(Model): """Auto upgrade profile for a managed cluster. :param upgrade_channel: upgrade channel for auto upgrade. Possible values include: 'rapid', 'stable', 'patch', 'none' :type upgrade_channel: str or ~azure.mgmt.containerservice.v2020_12_01.models.Upgrade...
class ManagedClusterAutoUpgradeProfile(Model):
"""Auto upgrade profile for a managed cluster. :param upgrade_channel: upgrade channel for auto upgrade. Possible values include: 'rapid', 'stable', 'patch', 'none' :type upgrade_channel: str or ~azure.mgmt.containerservice.v2020_12_01.models.UpgradeChannel """ _attribute_map = { ...
, **kwargs) -> None: super(ManagedClusterAPIServerAccessProfile, self).__init__(**kwargs) self.authorized_ip_ranges = authorized_ip_ranges self.enable_private_cluster = enable_private_cluster self.private_dns_zone = private_dns_zone class ManagedClusterAutoUpgradeProfile(Model):
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55
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterAutoUpgradeProfile
ManagedClusterAutoUpgradeProfile
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1,930
1,915
1,915
2f3fecd11d43cf87e5cbf8eb74e139bf8e7bc11d
bigcode/the-stack
train
bbb4c3577f4512befcc2c2f4
train
class
class SysctlConfig(Model): """Sysctl settings for Linux agent nodes. :param net_core_somaxconn: Sysctl setting net.core.somaxconn. :type net_core_somaxconn: int :param net_core_netdev_max_backlog: Sysctl setting net.core.netdev_max_backlog. :type net_core_netdev_max_backlog: int :param net...
class SysctlConfig(Model):
"""Sysctl settings for Linux agent nodes. :param net_core_somaxconn: Sysctl setting net.core.somaxconn. :type net_core_somaxconn: int :param net_core_netdev_max_backlog: Sysctl setting net.core.netdev_max_backlog. :type net_core_netdev_max_backlog: int :param net_core_rmem_default: Sysctl ...
include: 'Pending', 'Approved', 'Rejected', 'Disconnected' :type status: str or ~azure.mgmt.containerservice.v2020_12_01.models.ConnectionStatus :param description: The private link service connection description. :type description: str """ _attribute_map = { 'status': {'key': 's...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
SysctlConfig
SysctlConfig
2,809
2,943
2,809
2,809
0b5677de586409bed959a77ef4cbc48c8ed1f3cb
bigcode/the-stack
train
984e46c6d6d3699f65e999a5
train
class
class CloudErrorException(HttpOperationError): """Server responsed with exception of type: 'CloudError'. :param deserialize: A deserializer :param response: Server response to be deserialized. """ def __init__(self, deserialize, response, *args): super(CloudErrorException, self).__init__(...
class CloudErrorException(HttpOperationError):
"""Server responsed with exception of type: 'CloudError'. :param deserialize: A deserializer :param response: Server response to be deserialized. """ def __init__(self, deserialize, response, *args): super(CloudErrorException, self).__init__(deserialize, response, 'CloudError', *args)
'error': {'key': 'error', 'type': 'CloudErrorBody'}, } def __init__(self, *, error=None, **kwargs) -> None: super(CloudError, self).__init__(**kwargs) self.error = error class CloudErrorException(HttpOperationError):
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
CloudErrorException
CloudErrorException
479
488
479
479
81f7cc025b877938b5ff21b8cdc1682a69da5d4d
bigcode/the-stack
train
d3118ba0fc28099724f23960
train
class
class ManagedClusterPodIdentityProfile(Model): """ManagedClusterPodIdentityProfile. :param enabled: Whether the pod identity addon is enabled. :type enabled: bool :param user_assigned_identities: User assigned pod identity settings. :type user_assigned_identities: list[~azure.mgmt.containerser...
class ManagedClusterPodIdentityProfile(Model):
"""ManagedClusterPodIdentityProfile. :param enabled: Whether the pod identity addon is enabled. :type enabled: bool :param user_assigned_identities: User assigned pod identity settings. :type user_assigned_identities: list[~azure.mgmt.containerservice.v2020_12_01.models.ManagedClusterPodIdenti...
'pod_labels': {'key': 'podLabels', 'type': '{str}'}, } def __init__(self, *, name: str, namespace: str, pod_labels, **kwargs) -> None: super(ManagedClusterPodIdentityException, self).__init__(**kwargs) self.name = name self.namespace = namespace self.pod_labels = pod_lab...
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82
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterPodIdentityProfile
ManagedClusterPodIdentityProfile
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2,226
2,202
2,202
8a11f2da487bfa19ed96686fc8b200c38692e9b5
bigcode/the-stack
train
3bb55f15c8f8ceca9a97fb4b
train
class
class ManagedClusterIdentityUserAssignedIdentitiesValue(Model): """ManagedClusterIdentityUserAssignedIdentitiesValue. Variables are only populated by the server, and will be ignored when sending a request. :ivar principal_id: The principal id of user assigned identity. :vartype principal_id: str ...
class ManagedClusterIdentityUserAssignedIdentitiesValue(Model):
"""ManagedClusterIdentityUserAssignedIdentitiesValue. Variables are only populated by the server, and will be ignored when sending a request. :ivar principal_id: The principal id of user assigned identity. :vartype principal_id: str :ivar client_id: The client id of user assigned identity. ...
-> None: super(ManagedClusterIdentity, self).__init__(**kwargs) self.principal_id = None self.tenant_id = None self.type = type self.user_assigned_identities = user_assigned_identities class ManagedClusterIdentityUserAssignedIdentitiesValue(Model):
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52
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterIdentityUserAssignedIdentitiesValue
ManagedClusterIdentityUserAssignedIdentitiesValue
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2,007
1,982
1,982
30c10d0f00460561c35ae193ce060f49ab220427
bigcode/the-stack
train
b1b266f5c2b8814417066c8c
train
class
class PrivateLinkResourcesListResult(Model): """A list of private link resources. :param value: The collection value. :type value: list[~azure.mgmt.containerservice.v2020_12_01.models.PrivateLinkResource] """ _attribute_map = { 'value': {'key': 'value', 'type': '[PrivateLinkResource]'...
class PrivateLinkResourcesListResult(Model):
"""A list of private link resources. :param value: The collection value. :type value: list[~azure.mgmt.containerservice.v2020_12_01.models.PrivateLinkResource] """ _attribute_map = { 'value': {'key': 'value', 'type': '[PrivateLinkResource]'}, } def __init__(self, *, value=Non...
super(PrivateLinkResource, self).__init__(**kwargs) self.id = id self.name = name self.type = type self.group_id = group_id self.required_members = required_members self.private_link_service_id = None class PrivateLinkResourcesListResult(Model):
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55
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
PrivateLinkResourcesListResult
PrivateLinkResourcesListResult
2,754
2,768
2,754
2,754
3e96781dca43a741a96d90205209ce3ebd6cb3e0
bigcode/the-stack
train
c6842e32864c8891da6c470d
train
class
class ManagedClusterPropertiesAutoScalerProfile(Model): """Parameters to be applied to the cluster-autoscaler when enabled. :param balance_similar_node_groups: :type balance_similar_node_groups: str :param expander: Possible values include: 'least-waste', 'most-pods', 'priority', 'random' :typ...
class ManagedClusterPropertiesAutoScalerProfile(Model):
"""Parameters to be applied to the cluster-autoscaler when enabled. :param balance_similar_node_groups: :type balance_similar_node_groups: str :param expander: Possible values include: 'least-waste', 'most-pods', 'priority', 'random' :type expander: str or ~azure.mgmt.containerservice.v20...
os_type="Linux", upgrades=None, **kwargs) -> None: super(ManagedClusterPoolUpgradeProfile, self).__init__(**kwargs) self.kubernetes_version = kubernetes_version self.name = name self.os_type = os_type self.upgrades = upgrades class ManagedClusterPoolUpgradeProfileUpgradesItem(...
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246
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterPropertiesAutoScalerProfile
ManagedClusterPropertiesAutoScalerProfile
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2,385
2,306
2,306
712d54afe9ee8e268a020f9b858909f478337f05
bigcode/the-stack
train
83eda652c22aa0701c94324d
train
class
class ManagedClusterLoadBalancerProfileOutboundIPPrefixes(Model): """Desired outbound IP Prefix resources for the cluster load balancer. :param public_ip_prefixes: A list of public IP prefix resources. :type public_ip_prefixes: list[~azure.mgmt.containerservice.v2020_12_01.models.ResourceReference] ...
class ManagedClusterLoadBalancerProfileOutboundIPPrefixes(Model):
"""Desired outbound IP Prefix resources for the cluster load balancer. :param public_ip_prefixes: A list of public IP prefix resources. :type public_ip_prefixes: list[~azure.mgmt.containerservice.v2020_12_01.models.ResourceReference] """ _attribute_map = { 'public_ip_prefixes': {'key'...
'type': 'int'}, } def __init__(self, *, count: int=1, **kwargs) -> None: super(ManagedClusterLoadBalancerProfileManagedOutboundIPs, self).__init__(**kwargs) self.count = count class ManagedClusterLoadBalancerProfileOutboundIPPrefixes(Model):
64
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52
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterLoadBalancerProfileOutboundIPPrefixes
ManagedClusterLoadBalancerProfileOutboundIPPrefixes
2,086
2,100
2,086
2,086
5d24f9d7b728a00db64f1a810fbbd2bb09653a29
bigcode/the-stack
train
414a8b633821114bdb95e8bc
train
class
class MaintenanceConfiguration(SubResource): """maintenance configuration. Variables are only populated by the server, and will be ignored when sending a request. :ivar id: Resource ID. :vartype id: str :ivar name: The name of the resource that is unique within a resource group. This name...
class MaintenanceConfiguration(SubResource):
"""maintenance configuration. Variables are only populated by the server, and will be ignored when sending a request. :ivar id: Resource ID. :vartype id: str :ivar name: The name of the resource that is unique within a resource group. This name can be used to access the resource. :var...
_size_mb': {'key': 'swapFileSizeMB', 'type': 'int'}, } def __init__(self, *, sysctls=None, transparent_huge_page_enabled: str=None, transparent_huge_page_defrag: str=None, swap_file_size_mb: int=None, **kwargs) -> None: super(LinuxOSConfig, self).__init__(**kwargs) self.sysctls = sysctls ...
138
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131
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
MaintenanceConfiguration
MaintenanceConfiguration
1,003
1,047
1,003
1,003
742e4bc3370bca430e8da607505be7a371d4b350
bigcode/the-stack
train
5ec20cf30e84e5bb98324b31
train
class
class ManagedClusterLoadBalancerProfileOutboundIPs(Model): """Desired outbound IP resources for the cluster load balancer. :param public_ips: A list of public IP resources. :type public_ips: list[~azure.mgmt.containerservice.v2020_12_01.models.ResourceReference] """ _attribute_map = { ...
class ManagedClusterLoadBalancerProfileOutboundIPs(Model):
"""Desired outbound IP resources for the cluster load balancer. :param public_ips: A list of public IP resources. :type public_ips: list[~azure.mgmt.containerservice.v2020_12_01.models.ResourceReference] """ _attribute_map = { 'public_ips': {'key': 'publicIPs', 'type': '[ResourceRefer...
'}, } def __init__(self, *, public_ip_prefixes=None, **kwargs) -> None: super(ManagedClusterLoadBalancerProfileOutboundIPPrefixes, self).__init__(**kwargs) self.public_ip_prefixes = public_ip_prefixes class ManagedClusterLoadBalancerProfileOutboundIPs(Model):
64
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53
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterLoadBalancerProfileOutboundIPs
ManagedClusterLoadBalancerProfileOutboundIPs
2,103
2,117
2,103
2,103
8fdd4511c9593f36ae4fe7695d18191b318b15e8
bigcode/the-stack
train
958240ecd0684d6503fbb2e1
train
class
class AgentPoolAvailableVersionsPropertiesAgentPoolVersionsItem(Model): """AgentPoolAvailableVersionsPropertiesAgentPoolVersionsItem. :param default: Whether this version is the default agent pool version. :type default: bool :param kubernetes_version: Kubernetes version (major, minor, patch). :typ...
class AgentPoolAvailableVersionsPropertiesAgentPoolVersionsItem(Model):
"""AgentPoolAvailableVersionsPropertiesAgentPoolVersionsItem. :param default: Whether this version is the default agent pool version. :type default: bool :param kubernetes_version: Kubernetes version (major, minor, patch). :type kubernetes_version: str :param is_preview: Whether Kubernetes vers...
init__(self, *, agent_pool_versions=None, **kwargs) -> None: super(AgentPoolAvailableVersions, self).__init__(**kwargs) self.id = None self.name = None self.type = None self.agent_pool_versions = agent_pool_versions class AgentPoolAvailableVersionsPropertiesAgentPoolVersionsItem(...
71
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
AgentPoolAvailableVersionsPropertiesAgentPoolVersionsItem
AgentPoolAvailableVersionsPropertiesAgentPoolVersionsItem
341
362
341
341
87f47021caaa0a6e176c48553c2aa62cabfef7fd
bigcode/the-stack
train
8a8cc346270551f53fbe3ebd
train
class
class PrivateEndpointConnectionListResult(Model): """A list of private endpoint connections. :param value: The collection value. :type value: list[~azure.mgmt.containerservice.v2020_12_01.models.PrivateEndpointConnection] """ _attribute_map = { 'value': {'key': 'value', 'type': '[Priv...
class PrivateEndpointConnectionListResult(Model):
"""A list of private endpoint connections. :param value: The collection value. :type value: list[~azure.mgmt.containerservice.v2020_12_01.models.PrivateEndpointConnection] """ _attribute_map = { 'value': {'key': 'value', 'type': '[PrivateEndpointConnection]'}, } def __init__(...
self).__init__(**kwargs) self.id = None self.name = None self.type = None self.provisioning_state = None self.private_endpoint = private_endpoint self.private_link_service_connection_state = private_link_service_connection_state class PrivateEndpointConnectionListResult(...
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55
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
PrivateEndpointConnectionListResult
PrivateEndpointConnectionListResult
2,693
2,707
2,693
2,693
3793f5ea93935e3d99fa4927c65bb1930689d3c6
bigcode/the-stack
train
925e3e59c870525b893293bb
train
class
class TagsObject(Model): """Tags object for patch operations. :param tags: Resource tags. :type tags: dict[str, str] """ _attribute_map = { 'tags': {'key': 'tags', 'type': '{str}'}, } def __init__(self, *, tags=None, **kwargs) -> None: super(TagsObject, self).__init__(**kw...
class TagsObject(Model):
"""Tags object for patch operations. :param tags: Resource tags. :type tags: dict[str, str] """ _attribute_map = { 'tags': {'key': 'tags', 'type': '{str}'}, } def __init__(self, *, tags=None, **kwargs) -> None: super(TagsObject, self).__init__(**kwargs) self.tags =...
) self.created_by = created_by self.created_by_type = created_by_type self.created_at = created_at self.last_modified_by = last_modified_by self.last_modified_by_type = last_modified_by_type self.last_modified_at = last_modified_at class TagsObject(Model):
64
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5
58
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
TagsObject
TagsObject
2,988
3,001
2,988
2,988
46e6c461999764d4f0c0d41cc3c9a703047bde4e
bigcode/the-stack
train
a48dfd121431fae4732be2a1
train
class
class ManagedClusterServicePrincipalProfile(Model): """Information about a service principal identity for the cluster to use for manipulating Azure APIs. All required parameters must be populated in order to send to Azure. :param client_id: Required. The ID for the service principal. :type client_...
class ManagedClusterServicePrincipalProfile(Model):
"""Information about a service principal identity for the cluster to use for manipulating Azure APIs. All required parameters must be populated in order to send to Azure. :param client_id: Required. The ID for the service principal. :type client_id: str :param secret: The secret password assoc...
str=None, client_id: str=None, object_id: str=None, **kwargs) -> None: super(ManagedClusterPropertiesIdentityProfileValue, self).__init__(resource_id=resource_id, client_id=client_id, object_id=object_id, **kwargs) class ManagedClusterServicePrincipalProfile(Model):
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56
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterServicePrincipalProfile
ManagedClusterServicePrincipalProfile
2,409
2,434
2,409
2,409
a3e8c76843c39d2be54bf8d2529ec2b55a8dbcca
bigcode/the-stack
train
ffb383826e9f18144f36e2a7
train
class
class OperationValue(Model): """Describes the properties of a Compute Operation value. Variables are only populated by the server, and will be ignored when sending a request. :ivar origin: The origin of the compute operation. :vartype origin: str :ivar name: The name of the compute operation. ...
class OperationValue(Model):
"""Describes the properties of a Compute Operation value. Variables are only populated by the server, and will be ignored when sending a request. :ivar origin: The origin of the compute operation. :vartype origin: str :ivar name: The name of the compute operation. :vartype name: str :i...
type': 'str'}, 'admin_password': {'key': 'adminPassword', 'type': 'str'}, 'license_type': {'key': 'licenseType', 'type': 'str'}, } def __init__(self, *, admin_username: str, admin_password: str=None, license_type=None, **kwargs) -> None: super(ManagedClusterWindowsProfile, self).__init_...
117
117
393
5
111
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
OperationValue
OperationValue
2,557
2,602
2,557
2,557
871ba687b1e9f6d75186b56a1aea5281014c7434
bigcode/the-stack
train
d1ffcfd49b05c24c2b005d8d
train
class
class ManagedClusterWindowsProfile(Model): """Profile for Windows VMs in the container service cluster. All required parameters must be populated in order to send to Azure. :param admin_username: Required. Specifies the name of the administrator account. <br><br> **restriction:** Cannot end in "." <b...
class ManagedClusterWindowsProfile(Model):
"""Profile for Windows VMs in the container service cluster. All required parameters must be populated in order to send to Azure. :param admin_username: Required. Specifies the name of the administrator account. <br><br> **restriction:** Cannot end in "." <br><br> **Disallowed values:** "adminis...
_attribute_map = { 'id': {'key': 'id', 'type': 'str'}, 'name': {'key': 'name', 'type': 'str'}, 'type': {'key': 'type', 'type': 'str'}, 'control_plane_profile': {'key': 'properties.controlPlaneProfile', 'type': 'ManagedClusterPoolUpgradeProfile'}, 'agent_pool_profiles': {'key'...
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189
630
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181
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterWindowsProfile
ManagedClusterWindowsProfile
2,510
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2,510
2,510
39834a64bf4bb61d0a9b6813b0148c83752ae1a8
bigcode/the-stack
train
c244fc43caa19f8e0b16b280
train
class
class SystemData(Model): """Metadata pertaining to creation and last modification of the resource. :param created_by: The identity that created the resource. :type created_by: str :param created_by_type: The type of identity that created the resource. Possible values include: 'User', 'Application'...
class SystemData(Model):
"""Metadata pertaining to creation and last modification of the resource. :param created_by: The identity that created the resource. :type created_by: str :param created_by_type: The type of identity that created the resource. Possible values include: 'User', 'Application', 'ManagedIdentity', 'Key...
4_neigh_default_gc_thresh3 self.net_netfilter_nf_conntrack_max = net_netfilter_nf_conntrack_max self.net_netfilter_nf_conntrack_buckets = net_netfilter_nf_conntrack_buckets self.fs_inotify_max_user_watches = fs_inotify_max_user_watches self.fs_file_max = fs_file_max self.fs_aio_m...
149
149
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143
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
SystemData
SystemData
2,946
2,985
2,946
2,946
c8cd0c0cd33e84ff3d2b83dcf18ba45fa27f9b09
bigcode/the-stack
train
3d9ae0c7c9ad5b6a49bae869
train
class
class UserAssignedIdentity(Model): """UserAssignedIdentity. :param resource_id: The resource id of the user assigned identity. :type resource_id: str :param client_id: The client id of the user assigned identity. :type client_id: str :param object_id: The object id of the user assigned identity...
class UserAssignedIdentity(Model):
"""UserAssignedIdentity. :param resource_id: The resource id of the user assigned identity. :type resource_id: str :param client_id: The client id of the user assigned identity. :type client_id: str :param object_id: The object id of the user assigned identity. :type object_id: str """ ...
Identity'}, } def __init__(self, *, enabled: bool, config=None, **kwargs) -> None: super(ManagedClusterAddonProfile, self).__init__(**kwargs) self.enabled = enabled self.config = config self.identity = None class UserAssignedIdentity(Model):
64
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6
57
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
UserAssignedIdentity
UserAssignedIdentity
1,387
1,408
1,387
1,387
993548ffe545e83638f5fe7b6cece296ea9d30ac
bigcode/the-stack
train
ffb680f2637da31a3475ecb0
train
class
class CredentialResults(Model): """The list of credential result response. Variables are only populated by the server, and will be ignored when sending a request. :ivar kubeconfigs: Base64-encoded Kubernetes configuration file. :vartype kubeconfigs: list[~azure.mgmt.containerservice.v2020_12_...
class CredentialResults(Model):
"""The list of credential result response. Variables are only populated by the server, and will be ignored when sending a request. :ivar kubeconfigs: Base64-encoded Kubernetes configuration file. :vartype kubeconfigs: list[~azure.mgmt.containerservice.v2020_12_01.models.CredentialResult] ...
'}, 'value': {'key': 'value', 'type': 'bytearray'}, } def __init__(self, **kwargs) -> None: super(CredentialResult, self).__init__(**kwargs) self.name = None self.value = None class CredentialResults(Model):
64
64
163
5
58
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
CredentialResults
CredentialResults
880
901
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a0c702a58341e72f9726b7bcccbffd35899a10c2
bigcode/the-stack
train
6f6d1df9cdeb83c38b5122b2
train
class
class ManagedClusterAADProfile(Model): """AADProfile specifies attributes for Azure Active Directory integration. :param managed: Whether to enable managed AAD. :type managed: bool :param enable_azure_rbac: Whether to enable Azure RBAC for Kubernetes authorization. :type enable_azure_rbac: boo...
class ManagedClusterAADProfile(Model):
"""AADProfile specifies attributes for Azure Active Directory integration. :param managed: Whether to enable managed AAD. :type managed: bool :param enable_azure_rbac: Whether to enable Azure RBAC for Kubernetes authorization. :type enable_azure_rbac: bool :param admin_group_object_ids: AA...
= service_principal_profile self.addon_profiles = addon_profiles self.pod_identity_profile = pod_identity_profile self.node_resource_group = node_resource_group self.enable_rbac = enable_rbac self.enable_pod_security_policy = enable_pod_security_policy self.network_profi...
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145
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterAADProfile
ManagedClusterAADProfile
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1,266
94ed085b2f07f4dadf925f51df8bc1219cd4bc88
bigcode/the-stack
train
ee9c9471a3adc89d70cdfb64
train
class
class ContainerServiceNetworkProfile(Model): """Profile of network configuration. :param network_plugin: Network plugin used for building Kubernetes network. Possible values include: 'azure', 'kubenet'. Default value: "kubenet" . :type network_plugin: str or ~azure.mgmt.containerservice.v202...
class ContainerServiceNetworkProfile(Model):
"""Profile of network configuration. :param network_plugin: Network plugin used for building Kubernetes network. Possible values include: 'azure', 'kubenet'. Default value: "kubenet" . :type network_plugin: str or ~azure.mgmt.containerservice.v2020_12_01.models.NetworkPlugin :param netwo...
'int'}, 'vnet_subnet_id': {'key': 'vnetSubnetID', 'type': 'str'}, 'first_consecutive_static_ip': {'key': 'firstConsecutiveStaticIP', 'type': 'str'}, 'storage_profile': {'key': 'storageProfile', 'type': 'str'}, 'fqdn': {'key': 'fqdn', 'type': 'str'}, } def __init__(self, *, dns_...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ContainerServiceNetworkProfile
ContainerServiceNetworkProfile
693
769
693
693
e82acf9030ea99d0e680286aa97a5dc21b39c5c8
bigcode/the-stack
train
29a86e8f773519f0ba73f491
train
class
class ManagedClusterAccessProfile(Resource): """Managed cluster Access Profile. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :ivar id: Resource Id :vartype id: str :ivar name: R...
class ManagedClusterAccessProfile(Resource):
"""Managed cluster Access Profile. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :ivar id: Resource Id :vartype id: str :ivar name: Resource name :vartype name: str :ivar...
_secret: str=None, tenant_id: str=None, **kwargs) -> None: super(ManagedClusterAADProfile, self).__init__(**kwargs) self.managed = managed self.enable_azure_rbac = enable_azure_rbac self.admin_group_object_ids = admin_group_object_ids self.client_app_id = client_app_id se...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterAccessProfile
ManagedClusterAccessProfile
1,309
1,349
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1,309
33516e0fcd05a846db428898da52fd8d90ef87cb
bigcode/the-stack
train
c9079154f7c4bd8ef9127952
train
class
class PowerState(Model): """Describes the Power State of the cluster. :param code: Tells whether the cluster is Running or Stopped. Possible values include: 'Running', 'Stopped' :type code: str or ~azure.mgmt.containerservice.v2020_12_01.models.Code """ _attribute_map = { 'code': {'ke...
class PowerState(Model):
"""Describes the Power State of the cluster. :param code: Tells whether the cluster is Running or Stopped. Possible values include: 'Running', 'Stopped' :type code: str or ~azure.mgmt.containerservice.v2020_12_01.models.Code """ _attribute_map = { 'code': {'key': 'code', 'type': 'str'...
__init__(self, **kwargs) -> None: super(OperationValue, self).__init__(**kwargs) self.origin = None self.name = None self.operation = None self.resource = None self.description = None self.provider = None class PowerState(Model):
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
PowerState
PowerState
2,605
2,619
2,605
2,605
e2f6520cb4dde1cd7363be5b8fd5e2de9678584d
bigcode/the-stack
train
59524a35d670e64b5395b997
train
class
class ManagedClusterAgentPoolProfile(ManagedClusterAgentPoolProfileProperties): """Profile for the container service agent pool. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param coun...
class ManagedClusterAgentPoolProfile(ManagedClusterAgentPoolProfileProperties):
"""Profile for the container service agent pool. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param count: Number of agents (VMs) to host docker containers. Allowed values must be...
_id = pod_subnet_id self.max_pods = max_pods self.os_type = os_type self.max_count = max_count self.min_count = min_count self.enable_auto_scaling = enable_auto_scaling self.type = type self.mode = mode self.orchestrator_version = orchestrator_version ...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterAgentPoolProfile
ManagedClusterAgentPoolProfile
1,672
1,886
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1,672
a8f4f23a737cc0b03f7d9c3db2b547e1a3a8d967
bigcode/the-stack
train
d570fa7ee834e4e25c8d7fcf
train
class
class ManagedClusterIdentity(Model): """Identity for the managed cluster. Variables are only populated by the server, and will be ignored when sending a request. :ivar principal_id: The principal id of the system assigned identity which is used by master components. :vartype principal_id: str...
class ManagedClusterIdentity(Model):
"""Identity for the managed cluster. Variables are only populated by the server, and will be ignored when sending a request. :ivar principal_id: The principal id of the system assigned identity which is used by master components. :vartype principal_id: str :ivar tenant_id: The tenant id o...
= private_dns_zone class ManagedClusterAutoUpgradeProfile(Model): """Auto upgrade profile for a managed cluster. :param upgrade_channel: upgrade channel for auto upgrade. Possible values include: 'rapid', 'stable', 'patch', 'none' :type upgrade_channel: str or ~azure.mgmt.containerservice.v202...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterIdentity
ManagedClusterIdentity
1,933
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1,933
f1368e66c56a0fb15c8e34d4397fd12422e8782a
bigcode/the-stack
train
f68b907c551fe6a4adce37c6
train
class
class ManagedClusterPodIdentityProvisioningInfo(Model): """ManagedClusterPodIdentityProvisioningInfo. :param error: Pod identity assignment error (if any). :type error: ~azure.mgmt.containerservice.v2020_12_01.models.CloudError """ _attribute_map = { 'error': {'key': 'error', 'type': 'Clou...
class ManagedClusterPodIdentityProvisioningInfo(Model):
"""ManagedClusterPodIdentityProvisioningInfo. :param error: Pod identity assignment error (if any). :type error: ~azure.mgmt.containerservice.v2020_12_01.models.CloudError """ _attribute_map = { 'error': {'key': 'error', 'type': 'CloudError'}, } def __init__(self, *, error=None, *...
None: super(ManagedClusterPodIdentityProfile, self).__init__(**kwargs) self.enabled = enabled self.user_assigned_identities = user_assigned_identities self.user_assigned_identity_exceptions = user_assigned_identity_exceptions class ManagedClusterPodIdentityProvisioningInfo(Model):
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterPodIdentityProvisioningInfo
ManagedClusterPodIdentityProvisioningInfo
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2b7b308500d74f35fbae9a8e293b1551c107d2fd
bigcode/the-stack
train
f4e72e2062537074ad06f21d
train
class
class ManagedClusterPoolUpgradeProfileUpgradesItem(Model): """ManagedClusterPoolUpgradeProfileUpgradesItem. :param kubernetes_version: Kubernetes version (major, minor, patch). :type kubernetes_version: str :param is_preview: Whether Kubernetes version is currently in preview. :type is_preview: boo...
class ManagedClusterPoolUpgradeProfileUpgradesItem(Model):
"""ManagedClusterPoolUpgradeProfileUpgradesItem. :param kubernetes_version: Kubernetes version (major, minor, patch). :type kubernetes_version: str :param is_preview: Whether Kubernetes version is currently in preview. :type is_preview: bool """ _attribute_map = { 'kubernetes_versi...
kwargs) -> None: super(ManagedClusterPoolUpgradeProfile, self).__init__(**kwargs) self.kubernetes_version = kubernetes_version self.name = name self.os_type = os_type self.upgrades = upgrades class ManagedClusterPoolUpgradeProfileUpgradesItem(Model):
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterPoolUpgradeProfileUpgradesItem
ManagedClusterPoolUpgradeProfileUpgradesItem
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2,286
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881500c386031fb600551379f02bebee938b19a9
bigcode/the-stack
train
bf96110baf44fd503fce6a40
train
class
class PrivateLinkResource(Model): """A private link resource. Variables are only populated by the server, and will be ignored when sending a request. :param id: The ID of the private link resource. :type id: str :param name: The name of the private link resource. :type name: str :param...
class PrivateLinkResource(Model):
"""A private link resource. Variables are only populated by the server, and will be ignored when sending a request. :param id: The ID of the private link resource. :type id: str :param name: The name of the private link resource. :type name: str :param type: The resource type. :typ...
): """A list of private endpoint connections. :param value: The collection value. :type value: list[~azure.mgmt.containerservice.v2020_12_01.models.PrivateEndpointConnection] """ _attribute_map = { 'value': {'key': 'value', 'type': '[PrivateEndpointConnection]'}, } def __init...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
PrivateLinkResource
PrivateLinkResource
2,710
2,751
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2,710
4c441a733f3f21c2f82bab8fe5ca3a3376d90acb
bigcode/the-stack
train
4c15ceb36a720d4ea5234628
train
class
class TimeInWeek(Model): """Time in a week. :param day: A day in a week. Possible values include: 'Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday' :type day: str or ~azure.mgmt.containerservice.v2020_12_01.models.WeekDay :param hour_slots: hour slots in a day. :type...
class TimeInWeek(Model):
"""Time in a week. :param day: A day in a week. Possible values include: 'Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday' :type day: str or ~azure.mgmt.containerservice.v2020_12_01.models.WeekDay :param hour_slots: hour slots in a day. :type hour_slots: list[int] ...
_map = { 'tags': {'key': 'tags', 'type': '{str}'}, } def __init__(self, *, tags=None, **kwargs) -> None: super(TagsObject, self).__init__(**kwargs) self.tags = tags class TimeInWeek(Model):
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
TimeInWeek
TimeInWeek
3,004
3,022
3,004
3,004
b576aef826bb340c0e704d40d87da2150d3a2df9
bigcode/the-stack
train
69eb096dde82cc555344f53d
train
class
class ManagedClusterPropertiesIdentityProfileValue(UserAssignedIdentity): """ManagedClusterPropertiesIdentityProfileValue. :param resource_id: The resource id of the user assigned identity. :type resource_id: str :param client_id: The client id of the user assigned identity. :type client_id: str ...
class ManagedClusterPropertiesIdentityProfileValue(UserAssignedIdentity):
"""ManagedClusterPropertiesIdentityProfileValue. :param resource_id: The resource id of the user assigned identity. :type resource_id: str :param client_id: The client id of the user assigned identity. :type client_id: str :param object_id: The object id of the user assigned identity. :type...
_down_unready_time = scale_down_unready_time self.scale_down_utilization_threshold = scale_down_utilization_threshold self.skip_nodes_with_local_storage = skip_nodes_with_local_storage self.skip_nodes_with_system_pods = skip_nodes_with_system_pods class ManagedClusterPropertiesIdentityProfileVal...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterPropertiesIdentityProfileValue
ManagedClusterPropertiesIdentityProfileValue
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4e44ce0b98e5c209283fea6a9db291acf2db0c01
bigcode/the-stack
train
3efeb909fa4d1c2a534918c7
train
class
class ManagedClusterAddonProfile(Model): """A Kubernetes add-on profile for a managed cluster. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param enabled: Required. Whether the add-on ...
class ManagedClusterAddonProfile(Model):
"""A Kubernetes add-on profile for a managed cluster. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param enabled: Required. Whether the add-on is enabled or not. :type enabled: boo...
{'key': 'properties.kubeConfig', 'type': 'bytearray'}, } def __init__(self, *, location: str, tags=None, kube_config: bytearray=None, **kwargs) -> None: super(ManagedClusterAccessProfile, self).__init__(location=location, tags=tags, **kwargs) self.kube_config = kube_config class ManagedCluster...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterAddonProfile
ManagedClusterAddonProfile
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99696ad13624a62d7be7f2853775c7d93e8801bc
bigcode/the-stack
train
b6798f811afd76835ec1938d
train
class
class ContainerServiceLinuxProfile(Model): """Profile for Linux VMs in the container service cluster. All required parameters must be populated in order to send to Azure. :param admin_username: Required. The administrator username to use for Linux VMs. :type admin_username: str :param ssh: Re...
class ContainerServiceLinuxProfile(Model):
"""Profile for Linux VMs in the container service cluster. All required parameters must be populated in order to send to Azure. :param admin_username: Required. The administrator username to use for Linux VMs. :type admin_username: str :param ssh: Required. SSH configuration for Linux-based V...
{ 'vm_diagnostics': {'key': 'vmDiagnostics', 'type': 'ContainerServiceVMDiagnostics'}, } def __init__(self, *, vm_diagnostics, **kwargs) -> None: super(ContainerServiceDiagnosticsProfile, self).__init__(**kwargs) self.vm_diagnostics = vm_diagnostics class ContainerServiceLinuxProfile(M...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ContainerServiceLinuxProfile
ContainerServiceLinuxProfile
547
574
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547
f0675ac47e8dc68d5145aefb32a53aed2b2aa27e
bigcode/the-stack
train
180361e8fcdda2147adaea8c
train
class
class AgentPoolUpgradeProfilePropertiesUpgradesItem(Model): """AgentPoolUpgradeProfilePropertiesUpgradesItem. :param kubernetes_version: Kubernetes version (major, minor, patch). :type kubernetes_version: str :param is_preview: Whether Kubernetes version is currently in preview. :type is_preview: b...
class AgentPoolUpgradeProfilePropertiesUpgradesItem(Model):
"""AgentPoolUpgradeProfilePropertiesUpgradesItem. :param kubernetes_version: Kubernetes version (major, minor, patch). :type kubernetes_version: str :param is_preview: Whether Kubernetes version is currently in preview. :type is_preview: bool """ _attribute_map = { 'kubernetes_vers...
= None self.name = None self.type = None self.kubernetes_version = kubernetes_version self.os_type = os_type self.upgrades = upgrades self.latest_node_image_version = latest_node_image_version class AgentPoolUpgradeProfilePropertiesUpgradesItem(Model):
64
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52
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
AgentPoolUpgradeProfilePropertiesUpgradesItem
AgentPoolUpgradeProfilePropertiesUpgradesItem
425
442
425
425
fc0ae2eb3e2503258bbbb45be70d40f3865e768d
bigcode/the-stack
train
ac3ae3e71d2b5b37d02ca040
train
class
class ManagedClusterPodIdentity(Model): """ManagedClusterPodIdentity. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param name: Required. Name of the pod identity. :type name: str ...
class ManagedClusterPodIdentity(Model):
"""ManagedClusterPodIdentity. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param name: Required. Name of the pod identity. :type name: str :param namespace: Required. Namespace...
ClusterLoadBalancerProfileOutboundIPs(Model): """Desired outbound IP resources for the cluster load balancer. :param public_ips: A list of public IP resources. :type public_ips: list[~azure.mgmt.containerservice.v2020_12_01.models.ResourceReference] """ _attribute_map = { 'public_ips'...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterPodIdentity
ManagedClusterPodIdentity
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34a25c1634d79629309017faab8e19493e40ba9c
bigcode/the-stack
train
6f20584a851990630bffda2d
train
class
class SubResource(Model): """Reference to another subresource. Variables are only populated by the server, and will be ignored when sending a request. :ivar id: Resource ID. :vartype id: str :ivar name: The name of the resource that is unique within a resource group. This name can be used...
class SubResource(Model):
"""Reference to another subresource. Variables are only populated by the server, and will be ignored when sending a request. :ivar id: Resource ID. :vartype id: str :ivar name: The name of the resource that is unique within a resource group. This name can be used to access the resource. ...
License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.serializat...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
SubResource
SubResource
16
47
16
16
a95c9477c13f5026d28ea41a08f7a800cd1c683e
bigcode/the-stack
train
7b420b9a6be36375e873aafe
train
class
class AgentPoolAvailableVersions(Model): """The list of available versions for an agent pool. Variables are only populated by the server, and will be ignored when sending a request. :ivar id: Id of the agent pool available versions. :vartype id: str :ivar name: Name of the agent pool available...
class AgentPoolAvailableVersions(Model):
"""The list of available versions for an agent pool. Variables are only populated by the server, and will be ignored when sending a request. :ivar id: Id of the agent pool available versions. :vartype id: str :ivar name: Name of the agent pool available versions. :vartype name: str :iv...
_policy = scale_set_eviction_policy self.spot_max_price = spot_max_price self.tags = tags self.node_labels = node_labels self.node_taints = node_taints self.proximity_placement_group_id = proximity_placement_group_id self.kubelet_config = kubelet_config self.linux...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
AgentPoolAvailableVersions
AgentPoolAvailableVersions
303
338
303
303
728cdb67c534e815b691144f2b882860e3f2c834
bigcode/the-stack
train
71c73dfdea438d6e5c3061e4
train
class
class ContainerServiceSshPublicKey(Model): """Contains information about SSH certificate public key data. All required parameters must be populated in order to send to Azure. :param key_data: Required. Certificate public key used to authenticate with VMs through SSH. The certificate must be in PEM fo...
class ContainerServiceSshPublicKey(Model):
"""Contains information about SSH certificate public key data. All required parameters must be populated in order to send to Azure. :param key_data: Required. Certificate public key used to authenticate with VMs through SSH. The certificate must be in PEM format with or without headers. :typ...
', 'type': '[ContainerServiceSshPublicKey]'}, } def __init__(self, *, public_keys, **kwargs) -> None: super(ContainerServiceSshConfiguration, self).__init__(**kwargs) self.public_keys = public_keys class ContainerServiceSshPublicKey(Model):
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ContainerServiceSshPublicKey
ContainerServiceSshPublicKey
796
817
796
796
50c9111a47379bd4dcf74d2efe55755f5fd3d1c0
bigcode/the-stack
train
0990babe2a598c382340c823
train
class
class ContainerServiceVMDiagnostics(Model): """Profile for diagnostics on the container service VMs. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param enabled: Required. Whether the V...
class ContainerServiceVMDiagnostics(Model):
"""Profile for diagnostics on the container service VMs. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param enabled: Required. Whether the VM diagnostic agent is provisioned on th...
': {'key': 'keyData', 'type': 'str'}, } def __init__(self, *, key_data: str, **kwargs) -> None: super(ContainerServiceSshPublicKey, self).__init__(**kwargs) self.key_data = key_data class ContainerServiceVMDiagnostics(Model):
67
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ContainerServiceVMDiagnostics
ContainerServiceVMDiagnostics
820
849
820
820
650f890a4f6cd22212579e8f3b34ccb6ae48c36f
bigcode/the-stack
train
c571d1a84f789a6aaea15db1
train
class
class ManagedClusterLoadBalancerProfileManagedOutboundIPs(Model): """Desired managed outbound IPs for the cluster load balancer. :param count: Desired number of outbound IP created/managed by Azure for the cluster load balancer. Allowed values must be in the range of 1 to 100 (inclusive). The default...
class ManagedClusterLoadBalancerProfileManagedOutboundIPs(Model):
"""Desired managed outbound IPs for the cluster load balancer. :param count: Desired number of outbound IP created/managed by Azure for the cluster load balancer. Allowed values must be in the range of 1 to 100 (inclusive). The default value is 1. . Default value: 1 . :type count: int """ ...
outbound_ip_prefixes self.outbound_ips = outbound_ips self.effective_outbound_ips = effective_outbound_ips self.allocated_outbound_ports = allocated_outbound_ports self.idle_timeout_in_minutes = idle_timeout_in_minutes class ManagedClusterLoadBalancerProfileManagedOutboundIPs(Model):
64
64
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterLoadBalancerProfileManagedOutboundIPs
ManagedClusterLoadBalancerProfileManagedOutboundIPs
2,064
2,083
2,064
2,064
413e188f01c895810361110d2b77cecec3569009
bigcode/the-stack
train
b1a668bab7524e4391284c0d
train
class
class PrivateLinkServiceConnectionState(Model): """The state of a private link service connection. :param status: The private link service connection status. Possible values include: 'Pending', 'Approved', 'Rejected', 'Disconnected' :type status: str or ~azure.mgmt.containerservice.v2020_12_01.mo...
class PrivateLinkServiceConnectionState(Model):
"""The state of a private link service connection. :param status: The private link service connection status. Possible values include: 'Pending', 'Approved', 'Rejected', 'Disconnected' :type status: str or ~azure.mgmt.containerservice.v2020_12_01.models.ConnectionStatus :param description: Th...
{'key': 'value', 'type': '[PrivateLinkResource]'}, } def __init__(self, *, value=None, **kwargs) -> None: super(PrivateLinkResourcesListResult, self).__init__(**kwargs) self.value = value class PrivateLinkServiceConnectionState(Model):
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55
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
PrivateLinkServiceConnectionState
PrivateLinkServiceConnectionState
2,771
2,790
2,771
2,771
4ebad29b1482b7da8997223f765a9ab0960cf44a
bigcode/the-stack
train
a203d54a13100f86386e60ef
train
class
class KubeletConfig(Model): """Kubelet configurations of agent nodes. :param cpu_manager_policy: CPU Manager policy to use. :type cpu_manager_policy: str :param cpu_cfs_quota: Enable CPU CFS quota enforcement for containers that specify CPU limits. :type cpu_cfs_quota: bool :param cpu_cfs_...
class KubeletConfig(Model):
"""Kubelet configurations of agent nodes. :param cpu_manager_policy: CPU Manager policy to use. :type cpu_manager_policy: str :param cpu_cfs_quota: Enable CPU CFS quota enforcement for containers that specify CPU limits. :type cpu_cfs_quota: bool :param cpu_cfs_quota_period: Sets CPU CFS q...
readonly': True}, } _attribute_map = { 'name': {'key': 'name', 'type': 'str'}, 'value': {'key': 'value', 'type': 'bytearray'}, } def __init__(self, **kwargs) -> None: super(CredentialResult, self).__init__(**kwargs) self.name = None self.value = None class Cre...
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248
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
KubeletConfig
KubeletConfig
904
968
904
904
ca70a99a76b42eb11992d3dea49c3ea724faee23
bigcode/the-stack
train
f585721ffe928dd9a6ae3775
train
class
class ManagedClusterAgentPoolProfileProperties(Model): """Properties for the container service agent pool profile. Variables are only populated by the server, and will be ignored when sending a request. :param count: Number of agents (VMs) to host docker containers. Allowed values must be in the ...
class ManagedClusterAgentPoolProfileProperties(Model):
"""Properties for the container service agent pool profile. Variables are only populated by the server, and will be ignored when sending a request. :param count: Number of agents (VMs) to host docker containers. Allowed values must be in the range of 0 to 100 (inclusive) for user pools and in ...
) self.resource_id = resource_id self.client_id = client_id self.object_id = object_id class ManagedClusterAddonProfileIdentity(UserAssignedIdentity): """Information of user assigned identity used by this add-on. :param resource_id: The resource id of the user assigned identity. :...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterAgentPoolProfileProperties
ManagedClusterAgentPoolProfileProperties
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1,669
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1,432
8289dfc96d783c26f69883dc40135b9586fa5dc3
bigcode/the-stack
train
8e037c6ab770ab7c4bf002ae
train
class
class ContainerServiceDiagnosticsProfile(Model): """Profile for diagnostics on the container service cluster. All required parameters must be populated in order to send to Azure. :param vm_diagnostics: Required. Profile for diagnostics on the container service VMs. :type vm_diagnostics: ~azu...
class ContainerServiceDiagnosticsProfile(Model):
"""Profile for diagnostics on the container service cluster. All required parameters must be populated in order to send to Azure. :param vm_diagnostics: Required. Profile for diagnostics on the container service VMs. :type vm_diagnostics: ~azure.mgmt.containerservice.v2020_12_01.models.Conta...
message: str=None, target: str=None, details=None, **kwargs) -> None: super(CloudErrorBody, self).__init__(**kwargs) self.code = code self.message = message self.target = target self.details = details class ContainerServiceDiagnosticsProfile(Model):
64
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175
7
56
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ContainerServiceDiagnosticsProfile
ContainerServiceDiagnosticsProfile
523
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523
cdfe23cd9eb70c62b649516426c85fe7304aeae7
bigcode/the-stack
train
f25fa22f55d364cf45afbe4a
train
class
class ContainerServiceSshConfiguration(Model): """SSH configuration for Linux-based VMs running on Azure. All required parameters must be populated in order to send to Azure. :param public_keys: Required. The list of SSH public keys used to authenticate with Linux-based VMs. Only expect one key speci...
class ContainerServiceSshConfiguration(Model):
"""SSH configuration for Linux-based VMs running on Azure. All required parameters must be populated in order to send to Azure. :param public_keys: Required. The list of SSH public keys used to authenticate with Linux-based VMs. Only expect one key specified. :type public_keys: list[~azure.m...
ns_service_ip = dns_service_ip self.docker_bridge_cidr = docker_bridge_cidr self.outbound_type = outbound_type self.load_balancer_sku = load_balancer_sku self.load_balancer_profile = load_balancer_profile class ContainerServiceSshConfiguration(Model):
64
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188
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55
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ContainerServiceSshConfiguration
ContainerServiceSshConfiguration
772
793
772
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03bf45406fb635d3dfa140885171b730766946d8
bigcode/the-stack
train
ed12e47b5a1558b683be3b5e
train
class
class ManagedClusterPoolUpgradeProfile(Model): """The list of available upgrade versions. All required parameters must be populated in order to send to Azure. :param kubernetes_version: Required. Kubernetes version (major, minor, patch). :type kubernetes_version: str :param name: Pool name. ...
class ManagedClusterPoolUpgradeProfile(Model):
"""The list of available upgrade versions. All required parameters must be populated in order to send to Azure. :param kubernetes_version: Required. Kubernetes version (major, minor, patch). :type kubernetes_version: str :param name: Pool name. :type name: str :param os_type: Required...
ManagedClusterPodIdentityProvisioningInfo. :param error: Pod identity assignment error (if any). :type error: ~azure.mgmt.containerservice.v2020_12_01.models.CloudError """ _attribute_map = { 'error': {'key': 'error', 'type': 'CloudError'}, } def __init__(self, *, error=None, **kwargs...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterPoolUpgradeProfile
ManagedClusterPoolUpgradeProfile
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06a7d49ff862f15b4afae6a2183f8896f5dc664d
bigcode/the-stack
train
b395abfa6fed862de6bc917a
train
class
class ContainerServiceMasterProfile(Model): """Profile for the container service master. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param count: Number of masters (VMs) in the contai...
class ContainerServiceMasterProfile(Model):
"""Profile for the container service master. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param count: Number of masters (VMs) in the container service cluster. Allowed values are...
Profile(Model): """Profile for Linux VMs in the container service cluster. All required parameters must be populated in order to send to Azure. :param admin_username: Required. The administrator username to use for Linux VMs. :type admin_username: str :param ssh: Required. SSH configuration f...
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248
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ContainerServiceMasterProfile
ContainerServiceMasterProfile
577
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577
0ec005cc23704cecfc99a9dcf0fbf3ab03874375
bigcode/the-stack
train
f3614313e00a53aeb8a57cd0
train
class
class PrivateEndpointConnection(Model): """A private endpoint connection. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :ivar id: The ID of the private endpoint connection. :vartype ...
class PrivateEndpointConnection(Model):
"""A private endpoint connection. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :ivar id: The ID of the private endpoint connection. :vartype id: str :ivar name: The name of the ...
attribute_map = { 'code': {'key': 'code', 'type': 'str'}, } def __init__(self, *, code=None, **kwargs) -> None: super(PowerState, self).__init__(**kwargs) self.code = code class PrivateEndpoint(Model): """Private endpoint which a connection belongs to. :param id: The resource...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
PrivateEndpointConnection
PrivateEndpointConnection
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2,690
2,638
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15406fb4694104f312526ace85af2fa14e4070dd
bigcode/the-stack
train
a43116101f3c1592b9894fa6
train
class
class ManagedClusterSKU(Model): """ManagedClusterSKU. :param name: Name of a managed cluster SKU. Possible values include: 'Basic' :type name: str or ~azure.mgmt.containerservice.v2020_12_01.models.ManagedClusterSKUName :param tier: Tier of a managed cluster SKU. Possible values include: ...
class ManagedClusterSKU(Model):
"""ManagedClusterSKU. :param name: Name of a managed cluster SKU. Possible values include: 'Basic' :type name: str or ~azure.mgmt.containerservice.v2020_12_01.models.ManagedClusterSKUName :param tier: Tier of a managed cluster SKU. Possible values include: 'Paid', 'Free' :type tier: ...
str'}, } def __init__(self, *, client_id: str, secret: str=None, **kwargs) -> None: super(ManagedClusterServicePrincipalProfile, self).__init__(**kwargs) self.client_id = client_id self.secret = secret class ManagedClusterSKU(Model):
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57
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterSKU
ManagedClusterSKU
2,437
2,458
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2,437
47c704ace56fc5df113c836c5b787c1c9f206769
bigcode/the-stack
train
2ef7610126d4c6cb53757a25
train
class
class CloudError(Model): """An error response from the Container service. :param error: Details about the error. :type error: ~azure.mgmt.containerservice.v2020_12_01.models.CloudErrorBody """ _attribute_map = { 'error': {'key': 'error', 'type': 'CloudErrorBody'}, } def __ini...
class CloudError(Model):
"""An error response from the Container service. :param error: Details about the error. :type error: ~azure.mgmt.containerservice.v2020_12_01.models.CloudErrorBody """ _attribute_map = { 'error': {'key': 'error', 'type': 'CloudErrorBody'}, } def __init__(self, *, error=None, ...
'maxSurge', 'type': 'str'}, } def __init__(self, *, max_surge: str=None, **kwargs) -> None: super(AgentPoolUpgradeSettings, self).__init__(**kwargs) self.max_surge = max_surge class CloudError(Model):
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
CloudError
CloudError
462
476
462
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22f9651b793c1c149a44f3276d4599c40e66e4f6
bigcode/the-stack
train
de881e82eda8e498bd12246c
train
class
class ManagedCluster(Resource): """Managed cluster. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :ivar id: Resource Id :vartype id: str :ivar name: Resource name :vartype na...
class ManagedCluster(Resource):
"""Managed cluster. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :ivar id: Resource Id :vartype id: str :ivar name: Resource name :vartype name: str :ivar type: Resource...
name: str :ivar type: Resource type :vartype type: str :param location: Required. Resource location :type location: str :param tags: Resource tags :type tags: dict[str, str] """ _validation = { 'id': {'readonly': True}, 'name': {'readonly': True}, 'type': {'read...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedCluster
ManagedCluster
1,094
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128c7c632a10038453e3e4a32360df3b00822246
bigcode/the-stack
train
253f94ee96475b527be2a56a
train
class
class CloudErrorBody(Model): """An error response from the Container service. :param code: An identifier for the error. Codes are invariant and are intended to be consumed programmatically. :type code: str :param message: A message describing the error, intended to be suitable for display in ...
class CloudErrorBody(Model):
"""An error response from the Container service. :param code: An identifier for the error. Codes are invariant and are intended to be consumed programmatically. :type code: str :param message: A message describing the error, intended to be suitable for display in a user interface. :type m...
error class CloudErrorException(HttpOperationError): """Server responsed with exception of type: 'CloudError'. :param deserialize: A deserializer :param response: Server response to be deserialized. """ def __init__(self, deserialize, response, *args): super(CloudErrorException, self)....
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
CloudErrorBody
CloudErrorBody
491
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96bf67994d8673c74fdac74503cc5a821470f74f
bigcode/the-stack
train
f4591e9526763b81888145cc
train
class
class AgentPoolUpgradeSettings(Model): """Settings for upgrading an agentpool. :param max_surge: Count or percentage of additional nodes to be added during upgrade. If empty uses AKS default :type max_surge: str """ _attribute_map = { 'max_surge': {'key': 'maxSurge', 'type': 'str'}, ...
class AgentPoolUpgradeSettings(Model):
"""Settings for upgrading an agentpool. :param max_surge: Count or percentage of additional nodes to be added during upgrade. If empty uses AKS default :type max_surge: str """ _attribute_map = { 'max_surge': {'key': 'maxSurge', 'type': 'str'}, } def __init__(self, *, max_sur...
ernetes_version: str=None, is_preview: bool=None, **kwargs) -> None: super(AgentPoolUpgradeProfilePropertiesUpgradesItem, self).__init__(**kwargs) self.kubernetes_version = kubernetes_version self.is_preview = is_preview class AgentPoolUpgradeSettings(Model):
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56
Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
AgentPoolUpgradeSettings
AgentPoolUpgradeSettings
445
459
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6b8424d451d7e31c034e7409cbb27f03b5e699df
bigcode/the-stack
train
6401c31e25145b7eed6bf75f
train
class
class ManagedClusterAPIServerAccessProfile(Model): """Access profile for managed cluster API server. :param authorized_ip_ranges: Authorized IP Ranges to kubernetes API server. :type authorized_ip_ranges: list[str] :param enable_private_cluster: Whether to create the cluster as a private clus...
class ManagedClusterAPIServerAccessProfile(Model):
"""Access profile for managed cluster API server. :param authorized_ip_ranges: Authorized IP Ranges to kubernetes API server. :type authorized_ip_ranges: list[str] :param enable_private_cluster: Whether to create the cluster as a private cluster or not. :type enable_private_cluster: bool ...
, tags=tags, node_labels=node_labels, node_taints=node_taints, proximity_placement_group_id=proximity_placement_group_id, kubelet_config=kubelet_config, linux_os_config=linux_os_config, enable_encryption_at_host=enable_encryption_at_host, **kwargs) self.name = name class ManagedClusterAPIServerAccessProfile(Mod...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterAPIServerAccessProfile
ManagedClusterAPIServerAccessProfile
1,889
1,912
1,889
1,889
454db0bdaf261c088f2cf07da45622d4035e97e2
bigcode/the-stack
train
567fe65def3db2588162c2e7
train
class
class AgentPoolUpgradeProfile(Model): """The list of available upgrades for an agent pool. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :ivar id: Id of the agent pool upgrade profile. ...
class AgentPoolUpgradeProfile(Model):
"""The list of available upgrades for an agent pool. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :ivar id: Id of the agent pool upgrade profile. :vartype id: str :ivar name: Na...
minor, patch). :type kubernetes_version: str :param is_preview: Whether Kubernetes version is currently in preview. :type is_preview: bool """ _attribute_map = { 'default': {'key': 'default', 'type': 'bool'}, 'kubernetes_version': {'key': 'kubernetesVersion', 'type': 'str'}, ...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
AgentPoolUpgradeProfile
AgentPoolUpgradeProfile
365
422
365
365
10a1f01925da6a98dd940564a1648a2fc7f9172c
bigcode/the-stack
train
8290e6bfccfdebd803a3abba
train
class
class ManagedClusterUpgradeProfile(Model): """The list of available upgrades for compute pools. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :ivar id: Id of upgrade profile. :vartyp...
class ManagedClusterUpgradeProfile(Model):
"""The list of available upgrades for compute pools. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :ivar id: Id of upgrade profile. :vartype id: str :ivar name: Name of upgrade p...
: 'Paid', 'Free' :type tier: str or ~azure.mgmt.containerservice.v2020_12_01.models.ManagedClusterSKUTier """ _attribute_map = { 'name': {'key': 'name', 'type': 'str'}, 'tier': {'key': 'tier', 'type': 'str'}, } def __init__(self, *, name=None, tier=None, **kwargs) -> None...
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Mannan2812/azure-cli-extensions
src/aks-preview/azext_aks_preview/vendored_sdks/azure_mgmt_preview_aks/v2020_12_01/models/_models_py3.py
Python
ManagedClusterUpgradeProfile
ManagedClusterUpgradeProfile
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2,461
938d35fbf16f564ddb7cdad375210441e15e3811
bigcode/the-stack
train