xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

974191ebc9b1b546e88978d7ee052537a84a3c0e

619

py

Python

good-engineering-practice/src/convention-indent-good.py

giserh/book-python

ebd4e70cea1dd56986aa8efbae3629ba3f1ba087

[ "MIT" ]

1

2019-01-02T15:04:08.000Z

good-engineering-practice/src/convention-indent-good.py

giserh/book-python

ebd4e70cea1dd56986aa8efbae3629ba3f1ba087

[ "MIT" ]

null

good-engineering-practice/src/convention-indent-good.py

giserh/book-python

ebd4e70cea1dd56986aa8efbae3629ba3f1ba087

[ "MIT" ]

null

# More indentation included to distinguish this from the rest. def server( host='localhost', port=443, secure=True, username='admin', password='admin'): return locals() # Aligned with opening delimiter. connection = server(host='localhost', port=443, secure=True, username='admin', password='admin') # Hanging indents should add a level. connection = server( host='localhost', port=443, secure=True, username='admin', password='admin') # The best connection = server( host='localhost', username='admin', password='admin', port=443, secure=True, )

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619

5.732394

0.478873

0.09828

0.186732

0.167076

0.506143

0

0.02454

0.210016

619

24

63

25.791667

0.807771

0.221325

0

0.375

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0.159329

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1

0.0625

false

0.25

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0.125

0

null

0

1

0

null

0

1

0

3

9764da8a0bf367f5552e2978024584c16989f62f

482

py

Python

draft/vgg_test.py

DTA-UIT/Leukocyle-classification

2f3ddbc9a206674c3cb1e3279fb7c2821a888016

[ "MIT" ]

1

2021-12-17T00:55:39.000Z

draft/vgg_test.py

BTrDung/Using-CNNs-for-predicting-disease-via-leukocyle-classification

ff084c2a0f557c9b49fd3157f6048c54c9824806

[ "MIT" ]

null

draft/vgg_test.py

BTrDung/Using-CNNs-for-predicting-disease-via-leukocyle-classification

ff084c2a0f557c9b49fd3157f6048c54c9824806

[ "MIT" ]

null

# from init_data_train import val_ds from tensorflow.keras.models import load_model # --------------------------------------------- model = load_model("../vgg.h5") # print(model.metrics_names) model.summary() # print('Data: TRAIN') # print(model.evaluate(data_train, verbose=2)) # print('Data: TEST') # print(print(model.evaluate(data_test, verbose=2))) # print('Data: TEST_SIMPLE') # print(model.evaluate(data_test, verbose=2)) # ---------------------------------------------

25.368421

52

0.591286

57

482

4.824561

0.403509

0.145455

0.196364

0.24

0.370909

0.247273

0

0.009091

0.087137

482

18

53

26.777778

0.615909

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false

0

0.333333

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0.333333

0

null

0

1

0

null

0

1

0

3

977974015b57845a20cce8837904d05dd250d920

291

py

Python

WebApp/views.py

aarjavjain1/Team-Website

e74e10a95d1ffad89eaebb8cc530f3df1280e691

[ "Apache-2.0" ]

null

WebApp/views.py

aarjavjain1/Team-Website

e74e10a95d1ffad89eaebb8cc530f3df1280e691

[ "Apache-2.0" ]

null

WebApp/views.py

aarjavjain1/Team-Website

e74e10a95d1ffad89eaebb8cc530f3df1280e691

[ "Apache-2.0" ]

null

from django.shortcuts import render from .models import Timeline # Create your views here. def index(request): return render(request, 'index.html') def timeline(request): timeline = Timeline.objects.order_by('-date') return render(request, 'team.html', {'timeline': timeline})

26.454545

63

0.731959

37

291

5.72973

0.567568

0.113208

0.179245

0

0.14433

291

10

64

29.1

0.851406

0.079038

0

0.120301

0

1

0.285714

false

0

0.285714

0.142857

0.857143

0

null

0

null

0

1

0

1

0

3

978d1f6e9142b2273432f178ab68877d08811c0d

2,892

py

Python

ryu/lib/ofctl_utils.py

alanquillin/ryu

5552348c7c0a425313e2d5085d40d9729c8cc95e

[ "Apache-2.0" ]

9

2019-12-12T06:57:51.000Z

2022-01-10T04:01:49.000Z

ryu/lib/ofctl_utils.py

alanquillin/ryu

5552348c7c0a425313e2d5085d40d9729c8cc95e

[ "Apache-2.0" ]

null

ryu/lib/ofctl_utils.py

alanquillin/ryu

5552348c7c0a425313e2d5085d40d9729c8cc95e

[ "Apache-2.0" ]

1

2020-03-26T17:58:28.000Z

# Copyright (C) 2016 Nippon Telegraph and Telephone Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or # implied. # See the License for the specific language governing permissions and # limitations under the License. import logging LOG = logging.getLogger(__name__) def str_to_int(str_num): return int(str(str_num), 0) class OFCtlUtil(object): def __init__(self, ofproto): self.ofproto = ofproto def _reserved_num_from_user(self, num, prefix): if isinstance(num, int): return num else: if num.startswith(prefix): return getattr(self.ofproto, num) else: return getattr(self.ofproto, prefix + num.upper()) def _reserved_num_to_user(self, num, prefix): for k, v in self.ofproto.__dict__.items(): if k.startswith(prefix) and v == num: return k.replace(prefix, '') return num def ofp_port_from_user(self, port): return self._reserved_num_from_user(port, 'OFPP_') def ofp_port_to_user(self, port): return self._reserved_num_to_user(port, 'OFPP_') def ofp_table_from_user(self, table): return self._reserved_num_from_user(table, 'OFPTT_') def ofp_table_to_user(self, table): return self._reserved_num_to_user(table, 'OFPTT_') def ofp_cml_from_user(self, max_len): return self._reserved_num_from_user(max_len, 'OFPCML_') def ofp_cml_to_user(self, max_len): return self._reserved_num_to_user(max_len, 'OFPCML_') def ofp_group_from_user(self, group): return self._reserved_num_from_user(group, 'OFPG_') def ofp_group_to_user(self, group): return self._reserved_num_to_user(group, 'OFPG_') def ofp_buffer_from_user(self, buffer): if buffer in ['OFP_NO_BUFFER', 'NO_BUFFER']: return self.ofproto.OFP_NO_BUFFER else: return buffer def ofp_buffer_to_user(self, buffer): if self.ofproto.OFP_NO_BUFFER == buffer: return 'NO_BUFFER' else: return buffer def ofp_meter_from_user(self, meter): return self._reserved_num_from_user(meter, 'OFPM_') def ofp_meter_to_user(self, meter): return self._reserved_num_to_user(meter, 'OFPM_') def ofp_queue_from_user(self, queue): return self._reserved_num_from_user(queue, 'OFPQ_') def ofp_queue_to_user(self, queue): return self._reserved_num_to_user(queue, 'OFPQ_')

31.096774

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0.679115

411

2,892

4.442822

0.277372

0.070099

0.118291

0.138007

0.407448

0.322015

0.256298

0.038335

0

0.004047

0.230982

2,892

92

70

31.434783

0.816996

0.200553

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0.148148

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0.042229

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1

0.333333

false

0

0.018519

0.240741

0.777778

0

null

0

null

0

1

0

1

0

3

97b07b705070db3c9f5cefa5d87ba30a618089b6

66

py

Python

lvs/video_streamer/__init__.py

ksharshveer/lvs

00fdc0292774c0d96d560cf6dafdc22257795bab

[ "MIT" ]

null

lvs/video_streamer/__init__.py

ksharshveer/lvs

00fdc0292774c0d96d560cf6dafdc22257795bab

[ "MIT" ]

null

lvs/video_streamer/__init__.py

ksharshveer/lvs

00fdc0292774c0d96d560cf6dafdc22257795bab

[ "MIT" ]

null

__all__ = ['dataclass_objects', 'socket_utils', 'video_streamer']

33

65

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66

6.142857

1

0

0.075758

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1

66

0.704918

0

0.651515

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

3

97b58b97d74790dd0268c01514019b5515bfd937

785

py

Python

python/decord/bridge/tf.py

wentaozhu/decord

2e49a9afb312be60aab1785d3002e4080c43da0b

[ "Apache-2.0" ]

null

python/decord/bridge/tf.py

wentaozhu/decord

2e49a9afb312be60aab1785d3002e4080c43da0b

[ "Apache-2.0" ]

1

2021-02-24T03:44:57.000Z

python/decord/bridge/tf.py

wentaozhu/decord

2e49a9afb312be60aab1785d3002e4080c43da0b

[ "Apache-2.0" ]

null

"""DECORD tensorflow bridge""" from __future__ import absolute_import from .._ffi._ctypes.ndarray import _from_dlpack def try_import_tfdl(): """Try to import tensorflow dlpack at runtime. Returns ------- tensorflow dlpack module if found. Raise ImportError otherwise """ try: return __import__('tensorflow.experimental.dlpack', fromlist=['']) except ImportError as e: raise ImportError("tensorflow >= 2.2.0 is required.") def to_tensorflow(decord_arr): """from decord to tensorflow, no copy""" tfdl = try_import_tfdl() return tfdl.from_dlpack(decord_arr.to_dlpack()) def from_tensorflow(tf_tensor): """from tensorflow to decord, no copy""" tfdl = try_import_tfdl() return _from_dlpack(tfdl.to_dlpack(tf_tensor))

29.074074

74

0.704459

100

785

5.23

0.39

0.057361

0.07457

0.049713

0.110899

0

0.00468

0.183439

785

26

75

30.192308

0.811232

0.277707

0

0.153846

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0.117202

0.056711

0

1

0.230769

false

0

0.615385

0

1.076923

0

null

0

null

0

1

0

1

0

1

0

3

97b6767accd28b5524cbe3ac0b63eedc2f8d9404

197

py

Python

ExerciciosPYTHON/PythonCeV/005.py

Samuel-Melo890/Python-Desafios

2abc7734d6a6c1f5ab67421f792d6889d93bac94

[ "MIT" ]

null

ExerciciosPYTHON/PythonCeV/005.py

Samuel-Melo890/Python-Desafios

2abc7734d6a6c1f5ab67421f792d6889d93bac94

[ "MIT" ]

2

2022-03-18T16:06:07.000Z

2022-03-18T16:55:29.000Z

ExerciciosPYTHON/PythonCeV/005.py

Samuel-Melo890/Python-Desafios

2abc7734d6a6c1f5ab67421f792d6889d93bac94

[ "MIT" ]

null

print('='*8,'Antecessor e Sucessor','='*8) n = int(input('Digite um numero inteiro qualquer:')) print('Analisando o valor {}, vemos que seu antecessor e {} e seu sucessor e {}.'.format(n,n-1,n+1))

49.25

100

0.664975

33

197

3.969697

0.636364

0.167939

0

0.023256

0.126904

197

3

101

65.666667

0.738372

0

0.659898

0

1

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false

0

0.666667

0

null

0

1

0

1

0

null

0

1

0

3

97c028a875ca38c320287a2ccd808110efe30ffd

236

py

Python

greatest_of_3.py

evanascence27/py_prog

d6eb7cc3d399ba3ff5c1214e5aed6f9acc75596c

[ "MIT" ]

null

greatest_of_3.py

evanascence27/py_prog

d6eb7cc3d399ba3ff5c1214e5aed6f9acc75596c

[ "MIT" ]

null

greatest_of_3.py

evanascence27/py_prog

d6eb7cc3d399ba3ff5c1214e5aed6f9acc75596c

[ "MIT" ]

null

#greatest among 3 a=int(input("Enter no:")) b=int(input("Enter no:")) c=int(input("Enter no:")) if a>b: if a>c: print(a) else: print(c) else: if b>c: print(b) else: print(c)

15.733333

26

0.466102

38

236

2.894737

0.342105

0.218182

0.354545

0.409091

0

0.006579

0.355932

236

14

27

16.857143

0.717105

0.067797

0

0.384615

0

0.131707

0

1

0

false

0

0.307692

0

null

1

0

null

0

3

97c16fec2fb87150bd173db2e2b97185e95c1291

463

py

Python

create_venv.py

kevinmcaleer/SMARSLab

b847a78a61dc04fcb43d1660a6ea55ec9e84bee0

[ "Apache-2.0" ]

10

2019-02-03T23:46:08.000Z

2021-12-26T17:31:21.000Z

create_venv.py

kevinmcaleer/SMARSLab

b847a78a61dc04fcb43d1660a6ea55ec9e84bee0

[ "Apache-2.0" ]

27

2019-06-09T09:09:24.000Z

2022-02-11T21:47:33.000Z

create_venv.py

kevinmcaleer/SMARSLab

b847a78a61dc04fcb43d1660a6ea55ec9e84bee0

[ "Apache-2.0" ]

5

2020-06-24T18:49:40.000Z

2022-03-08T10:11:48.000Z

""" # create_venv.py Creates a new virtual environment for SMARSLab """ import subprocess print("Creating Python 3 Virtual Environment") subprocess.call("python3","-m","venv", "venv") # subprocess.call(["virtualenv", "-p", "python3", "venv"]) print("") print("Environment created - To use the virtual environment, type:") print(" source venv/bin/activate") print("to activate the environment, and") print(" deactivate") print("to deactivate the environment.")

28.9375

68

0.723542

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463

5.758621

0.534483

0.161677

0

0.007299

0.112311

463

15

69

30.866667

0.805353

0.261339

0

0.637725

0

1

0

true

0

0.111111

0

0.111111

0.777778

0

null

0

1

0

null

0

1

0

1

0

3

97c1ff7d1bddd3985417dc87b4811ea681f0a589

661

py

Python

gaphas/painter/__init__.py

gaphor/gaphas

084a55d31483e895ff26ee4d1f7861a690f25303

[ "Apache-2.0" ]

108

2018-01-09T00:19:04.000Z

2022-03-25T05:24:12.000Z

gaphas/painter/__init__.py

AhmedMounir/gaphas

a51f0171796199332da8187411ae2d70dc883e2e

[ "Apache-2.0" ]

134

2018-01-10T03:01:27.000Z

2022-03-19T19:40:03.000Z

gaphas/painter/__init__.py

AhmedMounir/gaphas

a51f0171796199332da8187411ae2d70dc883e2e

[ "Apache-2.0" ]

17

2018-01-09T02:20:05.000Z

2021-12-17T18:03:09.000Z

from __future__ import annotations from typing import TYPE_CHECKING from gaphas.painter.boundingboxpainter import BoundingBoxPainter from gaphas.painter.chain import PainterChain from gaphas.painter.freehand import FreeHandPainter from gaphas.painter.handlepainter import HandlePainter from gaphas.painter.itempainter import ItemPainter from gaphas.painter.painter import Painter if TYPE_CHECKING: from gaphas.view import GtkView def DefaultPainter(view: GtkView) -> Painter: """Default painter, containing item, handle and tool painters.""" return ( PainterChain().append(ItemPainter(view.selection)).append(HandlePainter(view)) )

31.47619

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0.806354

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661

7.026667

0.413333

0.132827

0.193548

0.083491

0

0.12708

661

20

87

33.05

0.913345

0.089259

0

1

0.071429

false

0

0.642857

0

0.785714

0

null

0

1

0

null

0

1

0

1

0

3

97c2cf54e26727ae7eefffa7b1b86ef83489a129

226

py

Python

tk_builder/widgets/widget_wrappers/scale.py

bradh/tk_builder

15bde02b93a67acf46ad485e7cc345cfe3bcd540

[ "MIT" ]

null

tk_builder/widgets/widget_wrappers/scale.py

bradh/tk_builder

15bde02b93a67acf46ad485e7cc345cfe3bcd540

[ "MIT" ]

null

tk_builder/widgets/widget_wrappers/scale.py

bradh/tk_builder

15bde02b93a67acf46ad485e7cc345cfe3bcd540

[ "MIT" ]

null

from tkinter import ttk from tk_builder.widgets.widget_utils.widget_events import WidgetEvents class Scale(ttk.Scale, WidgetEvents): def __init__(self, master=None, **kw): ttk.Scale.__init__(self, master, **kw)

25.111111

70

0.747788

31

226

5.096774

0.612903

0.101266

0.177215

0

0.146018

226

8

71

28.25

0.818653

0

1

0.2

false

0

0.4

0

0.8

0

null

0

1

0

null

0

1

0

1

0

3

c111ed3f7f6639b994f8befedd71bef05fb4f62e

266

py

Python

src/core/device.py

ggjersund/ble-central-client

f886ae90a62245baf0ba8235a78bf8b3aeabc0aa

[ "MIT" ]

1

2019-05-06T02:01:35.000Z

src/core/device.py

ggjersund/ble-central-client

f886ae90a62245baf0ba8235a78bf8b3aeabc0aa

[ "MIT" ]

null

src/core/device.py

ggjersund/ble-central-client

f886ae90a62245baf0ba8235a78bf8b3aeabc0aa

[ "MIT" ]

null

""" Class: Create peripheral objects whenever a new device is found Methods: Send connection request to given device, disconnect from given device, handle discovery of advertisments List all available characteristics (services that contain more characteristics) """

44.333333

113

0.819549

34

266

6.411765

0.882353

0.100917

0

0.135338

266

5

114

53.2

0.947826

0.966165

0

null

0

null

0

null

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null

1

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true

0

null

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null

0

1

0

1

0

null

0

1

0

3

c17d297d3e3b1768409a383f1791dd0e2160d9ed

97

py

Python

pythonProject/MUNDO 3/Relembrando listas 2.py

lucasjlgc/Aulas-de-Python-

6aaed1c660487a680e9c449210600ccdfa326612

[ "MIT" ]

null

pythonProject/MUNDO 3/Relembrando listas 2.py

lucasjlgc/Aulas-de-Python-

6aaed1c660487a680e9c449210600ccdfa326612

[ "MIT" ]

1

2021-06-25T15:29:11.000Z

pythonProject/MUNDO 3/Relembrando listas 2.py

lucasjlgc/Aulas-de-Python-

6aaed1c660487a680e9c449210600ccdfa326612

[ "MIT" ]

null

import pandas as pd df = pd.read_excel("Média teste.xlsx", sheet_name= "Média") print(df.head())

24.25

59

0.721649

17

97

4

0.823529

0

0.113402

97

4

60

24.25

0.790698

0

0.214286

0

1

0

false

0

0.333333

0

0.333333

1

0

null

0

1

0

null

0

1

0

3

c17f1ebac81849c8f6eb6bebb52e23e823c6d545

2,428

py

Python

gc3_query/lib/open_api/swagger_formats/models/sec_ip_list_model.py

ericmharris/gc3-query

0bf5226130aafbb1974aeb96d93ee1996833e87d

[ "MIT" ]

null

gc3_query/lib/open_api/swagger_formats/models/sec_ip_list_model.py

ericmharris/gc3-query

0bf5226130aafbb1974aeb96d93ee1996833e87d

[ "MIT" ]

null

gc3_query/lib/open_api/swagger_formats/models/sec_ip_list_model.py

ericmharris/gc3-query

0bf5226130aafbb1974aeb96d93ee1996833e87d

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ gc3-query.sec_ip_list_model [9/12/2018 12:25 PM] ~~~~~~~~~~~~~~~~ <DESCR SHORT> <DESCR> """ ################################################################################ ## Standard Library Imports import sys, os ################################################################################ ## Third-Party Imports from dataclasses import dataclass ################################################################################ ## Project Imports from gc3_query.lib import * from . import * _debug, _info, _warning, _error, _critical = get_logging(name=__name__) class SecListFormatModelBase(EmbeddedDocument): """ """ full_name = StringField() object_name = StringField() object_type = StringField() meta = {'allow_inheritance': True} def __init__(self, *args, **values): super().__init__(*args, **values) _debug(f"{self.__class__.__name__}.__init__(args={args}, values={values}):") def __str__(self): return self['full_name'] def __repr__(self): return self.__str__() def __eq__(self, other): return self['full_name'] == other['full_name'] def __hash__(self): return hash(self['full_name']) class SecIPListFormatModel(SecListFormatModelBase): """ """ # full_name = StringField() # object_name = StringField() # object_type = StringField() # # meta = {'allow_inheritance': True} # # def __init__(self, *args, **values): # super().__init__(*args, **values) # _debug(f"{self.__class__.__name__}.__init__(args={args}, values={values}):") # # # def __str__(self): # return self['full_name'] # # def __repr__(self): # return self.__str__() # # def __eq__(self, other): # return self['full_name'] == other['full_name'] # # def __hash__(self): # return hash(self['full_name']) @classmethod def from_result(cls, result, key: str) -> 'SecIPListFormatModel': """Return a SecIPListFormatModel using the values in result['key'] :param result: :param key: :return: """ _value = result[key] model = SecIPListFormatModel(full_name=_value.full_name, object_name=_value.object_name, object_type=_value.object_type) return model

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0.507234

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0.235997

2,428

93

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26.107527

0.625876

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0

null

0

null

0

1

0

1

0

3

c1861ac618002e67645320e8393dbf42725df435

5,748

py

Python

mayaSDK/maya/app/stereo/cameraSetTool.py

FXTD-ODYSSEY/vscode-mayapy

7a21872f80b5b740fc653e79c3f9b5268e87b3c3

[ "MIT" ]

20

2019-09-20T00:30:22.000Z

2021-12-26T06:56:16.000Z

mayaSDK/maya/app/stereo/cameraSetTool.py

minjiang999/vscode-mayapy

7a21872f80b5b740fc653e79c3f9b5268e87b3c3

[ "MIT" ]

5

2019-12-29T15:19:03.000Z

2022-03-29T16:54:19.000Z

mayaSDK/maya/app/stereo/cameraSetTool.py

minjiang999/vscode-mayapy

7a21872f80b5b740fc653e79c3f9b5268e87b3c3

[ "MIT" ]

8

2019-09-23T05:46:44.000Z

2022-01-11T14:42:14.000Z

""" This is a dedicated editor for specifying camera set rigs. It allows the artist to preset a multi-rig type. They can then use the create menus for quickly creating complicated rigs. """ class BaseUI: """ Each region of the editor UI is abstracted into a UI class that contains all of the widgets for that objects and relavant callbacks. This base class should not be instanced as this is only a container for common code. """ def __init__(self, parent): """ Class initialization. We simply hold onto the parent layout. """ pass def control(self): """ Return the master control for this UI. """ pass def parent(self): """ Return the parent instace of this UI. This can be None. """ pass def setControl(self, control): """ Set the pointer to the control handle for this UI. This is the main control that parents or children can reference for UI updates. """ pass class NewCameraSetUI(BaseUI): """ UI for adding 'new' camera set. """ def __init__(self, parent): """ Class constructor """ pass def buildLayout(self): """ Construct the UI for this class. """ pass def name(self): """ Name of this UI component. """ pass def newTemplate(self, *args): """ Create a new template and adding the template to the UI layout for user manipulation. """ pass def rebuild(self): """ Rebuild the UI. We find the parent class and tell it to kickstart the rebuild. """ pass def resetSettings(self, *args): """ Reset to the default settings and rebuild the UI. """ pass def resetUI(self): """ Tells all ui templates to reset their ui handles. This is done because this UI templates hold onto some local data that must be cleared out before rebuilding """ pass def saveSettings(self, *args): """ Call the template manager to store its current settings """ pass class NamingTemplateUI(BaseUI): """ This class encapsulates all of the UI around multi rig naming templates. """ def __init__(self, parent, mgr, template): """ Class initializer. """ pass def addLayer(self, *args): """ Add a new layer to this object. """ pass def autoCreateCkboxChange(self, args, layer='0'): """ Called when the check box is changed. """ pass def buildLayout(self): """ Build a new multi-rig template UI. """ pass def cameraSetNameChanged(self, arg): pass def createIt(self, *args): """ Function called when the user clicks the 'Create' button. This will force the creation of a new rig. """ pass def deleteLayer(self, args, layer='0'): """ Called when the delete layer button is clicked. """ pass def layerCameraChanged(self, args, layer='0'): """ Called when the option menu group changes. """ pass def layerPrefixChanged(self, args, layer='0'): """ Called when the prefix changes for a layer. """ pass def layoutForLayer(self, layer): """ Build the UI for the specified layer. We need to access the UI data later in callbacks. So we store the data inside a dictionary for reference layer. """ pass def multiRigNameChanged(self, ui): """ Called when the user changes the name of this multi-rig using the supplied text box. """ pass def namingPrefixChanged(self, arg): """ Called when the users changes the prefix name used for the multi-rig. """ pass def removeDef(self, *args): """ Remove this object from the list. """ pass def resetUI(self): pass class CameraSetEditor(BaseUI): """ Main class for the camera set editor. """ def __init__(self, parent='None'): """ Class constructor. """ pass def buildLayout(self): """ Build the main layout for the class. This will kickstart all UI creation for the class. You should have a window instance created for the layouts to parent under. """ pass def create(self): """ Create a new instance of the window. If there is already a instance then show it instead of creating a new instance. """ pass def name(self): """ Return the name for this editor. """ pass def rebuild(self): """ Force the rebuild of the UI. This happens when users create new templates. """ pass def createIt(): """ Create a new window instance of the Camera Set Editor. """ pass gEditorWindowInstance = None

18.784314

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5,748

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0.001197

0.418406

5,748

305

77

18.845902

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null

0

1

0

1

0

1

0

3

c1930795b278c4d3bce4aa1f7d4fedaf52b3eac9

277

py

Python

torch/fx/passes/__init__.py

xiaohanhuang/pytorch

a31aea8eaa99a5ff72b5d002c206cd68d5467a5e

[ "Intel" ]

60,067

2017-01-18T17:21:31.000Z

2022-03-31T21:37:45.000Z

torch/fx/passes/__init__.py

xiaohanhuang/pytorch

a31aea8eaa99a5ff72b5d002c206cd68d5467a5e

[ "Intel" ]

66,955

2017-01-18T17:21:38.000Z

2022-03-31T23:56:11.000Z

torch/fx/passes/__init__.py

xiaohanhuang/pytorch

a31aea8eaa99a5ff72b5d002c206cd68d5467a5e

[ "Intel" ]

19,210

2017-01-18T17:45:04.000Z

2022-03-31T23:51:56.000Z

from . import graph_drawer from . import graph_manipulation from . import net_min_base from . import operator_support from . import param_fetch from . import shape_prop from . import split_module from . import split_utils from . import splitter_base from . import tools_common

25.181818

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277

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0.144404

277

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0

1

0

true

0

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null

1

0

null

0

1

0

1

0

3

c1e36030fb557ca429daa6a8fb40a0f0208a4e4c

591

py

Python

hydra-configs-torchvision/hydra_configs/torchvision/models/densenet.py

shivamdb/hydra-torch

4ef4b03e583fb7b0c36e50185d25f0d91369c1cf

[ "MIT" ]

null

hydra-configs-torchvision/hydra_configs/torchvision/models/densenet.py

shivamdb/hydra-torch

4ef4b03e583fb7b0c36e50185d25f0d91369c1cf

[ "MIT" ]

null

hydra-configs-torchvision/hydra_configs/torchvision/models/densenet.py

shivamdb/hydra-torch

4ef4b03e583fb7b0c36e50185d25f0d91369c1cf

[ "MIT" ]

null

# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved # # Generated by configen, do not edit. # See https://github.com/facebookresearch/hydra/tree/master/tools/configen # fmt: off # isort:skip_file # flake8: noqa from dataclasses import dataclass, field from typing import Any @dataclass class DenseNetConf: _target_: str = "torchvision.models.densenet.DenseNet" growth_rate: Any = 32 block_config: Any = (6, 12, 24, 16) num_init_features: Any = 64 bn_size: Any = 4 drop_rate: Any = 0 num_classes: Any = 1000 memory_efficient: Any = False

25.695652

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0.715736

83

591

4.963855

0.831325

0.033981

0

0.037578

0.189509

591

22

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26.863636

0.822547

0.36379

0

1

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0.097826

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1

0

true

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0.166667

0

0.916667

0

null

0

1

0

null

0

1

0

1

0

3

c1f55bde2192c6ab8318d85ced287f7259c76bad

695

py

Python

Config-Scripts/service.autoexec/resources/de/language-set_de.py

joy-it/MultimediaCase-for-Raspberry-Pi

909522521b2d53175b8460d9ef5bb1a51cfaec44

[ "MIT" ]

9

2020-12-29T22:17:13.000Z

2021-12-14T09:12:47.000Z

Config-Scripts/service.autoexec/resources/de/language-set_de.py

joy-it/MultimediaCase-for-Raspberry-Pi

909522521b2d53175b8460d9ef5bb1a51cfaec44

[ "MIT" ]

null

Config-Scripts/service.autoexec/resources/de/language-set_de.py

joy-it/MultimediaCase-for-Raspberry-Pi

909522521b2d53175b8460d9ef5bb1a51cfaec44

[ "MIT" ]

2

2021-12-07T15:55:35.000Z

2022-03-21T11:43:43.000Z

import os from time import sleep os.system("touch /storage/.kodi/temp/temp.txt") with open("/storage/.kodi/addons/service.autoexec/autoexec.py","r") as log, open("/storage/.kodi/temp/temp.txt","w") as file: for line in log: if not "kodi-send --action=" in line: file.write(line) os.system("rm /storage/.kodi/addons/service.autoexec/autoexec.py && touch /storage/.kodi/addons/service.autoexec/autoexec.py") os.system("cp /storage/.kodi/temp/temp.txt /storage/.kodi/addons/service.autoexec/autoexec.py") os.system("rm /storage/.kodi/temp/temp.txt") os.system("touch /storage/.kodi/addons/service.autoexec/resources/start-defence_de.txt") os.system("systemctl stop kodi")

46.333333

126

0.723741

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695

4.648148

0.351852

0.197211

0.169323

0.239044

0.691235

0.450199

0.366534

0.199203

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0.096403

695

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0.799363

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0.166667

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0.166667

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0.166667

0

null

0

1

0

1

null

0

3

c1ff0eb01bbf70406e1549da0474f421fa7d5448

162

py

Python

app/api/sandbox/__init__.py

nccr-itmo/FEDOT.Web

9b6f7b66de277ea34d6d5ed621b99a3f938db61b

[ "BSD-3-Clause" ]

23

2020-12-24T11:05:01.000Z

2022-03-31T20:29:12.000Z

app/api/sandbox/__init__.py

nccr-itmo/FedotWeb

763fb1f39ad2b69104b6568e6f941c4c67762e34

[ "BSD-3-Clause" ]

42

2021-01-11T09:38:31.000Z

2022-03-25T17:19:05.000Z

app/api/sandbox/__init__.py

nccr-itmo/FedotWeb

763fb1f39ad2b69104b6568e6f941c4c67762e34

[ "BSD-3-Clause" ]

5

2021-03-31T04:38:31.000Z

2022-03-31T20:29:26.000Z

BASE_ROUTE = 'sandbox' def register_routes(api, app): from .controller import api as sandbox_api api.add_namespace(sandbox_api, path=f"/{BASE_ROUTE}")

20.25

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24

162

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0.154321

162

7

58

23.142857

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0

1

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0.25

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0

1

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null

0

1

0

null

0

1

0

3

de0db17125bb522f17a4937de38adbee2d05df16

69

py

Python

03_Day_Operators/16.py

diegofregolente/30-Days-Of-Python

e0cad31f6d5ab1384ad6fa5a5d24a84771d6c267

[ "Apache-2.0" ]

null

03_Day_Operators/16.py

diegofregolente/30-Days-Of-Python

e0cad31f6d5ab1384ad6fa5a5d24a84771d6c267

[ "Apache-2.0" ]

null

03_Day_Operators/16.py

diegofregolente/30-Days-Of-Python

e0cad31f6d5ab1384ad6fa5a5d24a84771d6c267

[ "Apache-2.0" ]

null

length = len('python') # 16 print(float(length)) print(str(length))

17.25

28

0.681159

10

69

4.7

0.7

0

0.032787

0.115942

69

3

29

23

0.737705

0.028986

0

0.092308

0

1

0

false

0

0.666667

1

0

null

0

1

0

null

0

1

0

3

de0e2ef29766137a4639f4f40ea81c68ad5d0eea

554

py

Python

TorNodesMap/TorNodesMap/settings/local.py

spantons/tor-nodes-map

0bdd6cb2e747c3a6a5aa311214fa8683d0453bd3

[ "MIT" ]

null

TorNodesMap/TorNodesMap/settings/local.py

spantons/tor-nodes-map

0bdd6cb2e747c3a6a5aa311214fa8683d0453bd3

[ "MIT" ]

null

TorNodesMap/TorNodesMap/settings/local.py

spantons/tor-nodes-map

0bdd6cb2e747c3a6a5aa311214fa8683d0453bd3

[ "MIT" ]

null

# Database # https://docs.djangoproject.com/en/1.8/ref/settings/#databases GDAL_LIBRARY_PATH = "/Applications/Postgres.app/Contents/Versions/9.4/lib/libgdal.dylib" GEOS_LIBRARY_PATH = "/Applications/Postgres.app/Contents/Versions/9.4/lib/libgeos_c.dylib" DATABASES = { 'default': { 'ENGINE': 'django.contrib.gis.db.backends.postgis', 'NAME': 'tor_nodes_map', 'USER': '', 'PASSWORD': '', 'HOST': '', 'PORT': '', } } # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True

26.380952

90

0.644404

68

554

5.147059

0.808824

0.062857

0.131429

0.177143

0.314286

0

0.013304

0.185921

554

20

91

27.7

0.762749

0.240072

0

0.533654

0.413462

0

1

0

false

0.076923

0

null

0

1

0

1

null

0

1

0

3

a9a54f9593e2155a83dbbc6f445784f726fc8357

120

py

Python

hello.py

dpr5ks/cs3240-labdemo

8c4df0e768a362b18249ad10a736cfb85c0d9fa2

[ "MIT" ]

null

hello.py

dpr5ks/cs3240-labdemo

8c4df0e768a362b18249ad10a736cfb85c0d9fa2

[ "MIT" ]

null

hello.py

dpr5ks/cs3240-labdemo

8c4df0e768a362b18249ad10a736cfb85c0d9fa2

[ "MIT" ]

null

#python program that prints "Hello!" #Deeksha Reddy (dpr5ks) import helper helper.greeting("hello")

6.666667

36

0.641667

13

120

5.923077

0.846154

0

0.011236

0.258333

120

17

37

7.058824

0.853933

0.475

0

0.096154

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

null

0

1

0

1

0

3

a9c407f198519bb2db1ad7f89e499a2d1c9bee18

11,460

py

Python

cardsFactory.py

Zhipeng-Chang/CoEChatbot

a68b66612c17685715b2a04f9d603a4f4b06cc6b

[ "MIT" ]

null

cardsFactory.py

Zhipeng-Chang/CoEChatbot

a68b66612c17685715b2a04f9d603a4f4b06cc6b

[ "MIT" ]

null

cardsFactory.py

Zhipeng-Chang/CoEChatbot

a68b66612c17685715b2a04f9d603a4f4b06cc6b

[ "MIT" ]

2

2019-01-08T16:07:46.000Z

2020-12-08T21:44:08.000Z

INTERACTIVE_TEXT_BUTTON_ACTION = "doTextButtonAction" INTERACTIVE_IMAGE_BUTTON_ACTION = "doImageButtonAction" INTERACTIVE_BUTTON_PARAMETER_KEY = "param_key" def _respons_text_card(type,title,text): return { 'actionResponse': {'type': type}, "cards": [ { 'header': {'title': title, 'subtitle': 'City of Edmonton chatbot', 'imageUrl': 'http://www.gwcl.ca/wp-content/uploads/2014/01/IMG_4371.png','imageStyle': 'IMAGE'} }, { "sections": [ { "widgets": [ {"textParagraph": {"text": text}} ] }] } ] } def _respons_textButton_card(type,title,text, url): return { 'actionResponse': {'type': type}, "cards": [ { 'header': {'title': title, 'subtitle': 'City of Edmonton chatbot','imageUrl': 'http://www.gwcl.ca/wp-content/uploads/2014/01/IMG_4371.png','imageStyle': 'IMAGE'} }, { "sections": [ { "widgets": [ {"buttons": [{"textButton": {"text": text,"onClick": {"openLink": {"url": url}}}}]} ] }] } ] } def _respons_text_with_bottom_link_card(type,title,text,buttonText,buttonUrl): return { 'actionResponse': {'type': type}, "cards": [ { 'header': {'title': title, 'subtitle': 'City of Edmonton chatbot','imageUrl': 'http://www.gwcl.ca/wp-content/uploads/2014/01/IMG_4371.png','imageStyle': 'IMAGE'} }, { "sections": [ { "widgets": [ {"textParagraph": {"text": text}}, {'buttons': [{'textButton': {'text': buttonText, 'onClick': {'openLink': {'url': buttonUrl}}}}]} ] }] } ] } def _text_with_bottom_link_card(title,text,buttonText,buttonUrl): return { "cards": [ { 'header': {'title': title, 'subtitle': 'City of Edmonton chatbot','imageUrl': 'http://www.gwcl.ca/wp-content/uploads/2014/01/IMG_4371.png','imageStyle': 'IMAGE'} }, { "sections": [ { "widgets": [ {"textParagraph": {"text": text}}, {'buttons': [{'textButton': {'text': buttonText, 'onClick': {'openLink': {'url': buttonUrl}}}}]} ] }] } ] } def _text_card_with_image(headertitle, headerimage,text, widgetimage): return { 'cards': [{'header': {'title': headertitle, 'subtitle': 'City of Edmonton chatbot','imageUrl': headerimage,'imageStyle': 'IMAGE'}}, {'sections':[{ 'widgets': [ {'textParagraph': {'text': text}}, {'image': {'imageUrl': widgetimage}} ] } ] } ] } def _text_card_with_image_with_two_buttons(headertitle, headerimage,text, widgetimage, button1text, button2text, button1value, button2value): return { 'cards': [{'header': {'title': headertitle, 'subtitle': 'City of Edmonton chatbot','imageUrl': headerimage,'imageStyle': 'IMAGE'}}, {'sections':[{ 'widgets': [ {'image': {'imageUrl': widgetimage}}, {'textParagraph': {'text': text}}, {'buttons': [{'textButton': {'text': button1text,'onClick': {'action': {'actionMethodName': INTERACTIVE_TEXT_BUTTON_ACTION,'parameters': [{'key': INTERACTIVE_BUTTON_PARAMETER_KEY,'value': button1value}]}}}}]}, {'buttons': [{'textButton': {'text': button2text,'onClick': {'action': {'actionMethodName': INTERACTIVE_TEXT_BUTTON_ACTION,'parameters': [{'key': INTERACTIVE_BUTTON_PARAMETER_KEY,'value': button2value}]}}}}]} ] } ] } ] } def _text_card_with_image_with_three_buttons(headertitle, headerimage,text, widgetimage, button1text, button2text,button3text, button1value, button2value, button3value): return { 'cards': [{'header': {'title': headertitle, 'subtitle': 'City of Edmonton chatbot','imageUrl': headerimage,'imageStyle': 'IMAGE'}}, {'sections':[{ 'widgets': [ {'image': {'imageUrl': widgetimage}}, {'textParagraph': {'text': text}}, {'buttons': [{'textButton': {'text': button1text,'onClick': {'action': {'actionMethodName': INTERACTIVE_TEXT_BUTTON_ACTION,'parameters': [{'key': INTERACTIVE_BUTTON_PARAMETER_KEY,'value': button1value}]}}}}]}, {'buttons': [{'textButton': {'text': button2text,'onClick': {'action': {'actionMethodName': INTERACTIVE_TEXT_BUTTON_ACTION,'parameters': [{'key': INTERACTIVE_BUTTON_PARAMETER_KEY,'value': button2value}]}}}}]}, {'buttons': [{'textButton': {'text': button3text,'onClick': {'action': {'actionMethodName': INTERACTIVE_TEXT_BUTTON_ACTION,'parameters': [{'key': INTERACTIVE_BUTTON_PARAMETER_KEY,'value': button3value}]}}}}]} ] } ] } ] } def _text_card_with_two_buttons(headertitle, headerimage,text1,text2, button1text, button2text, button1value, button2value): return { 'cards': [{'header': {'title': headertitle, 'subtitle': 'City of Edmonton chatbot','imageUrl': headerimage,'imageStyle': 'IMAGE'}}, {'sections':[{ 'widgets': [ {'textParagraph': {'text': text1}}, {'textParagraph': {'text': text2}}, {'buttons': [{'textButton': {'text': button1text,'onClick': {'action': {'actionMethodName': INTERACTIVE_TEXT_BUTTON_ACTION,'parameters': [{'key': INTERACTIVE_BUTTON_PARAMETER_KEY,'value': button1value}]}}}}]}, {'buttons': [{'textButton': {'text': button2text,'onClick': {'action': {'actionMethodName': INTERACTIVE_TEXT_BUTTON_ACTION,'parameters': [{'key': INTERACTIVE_BUTTON_PARAMETER_KEY,'value': button2value}]}}}}]} ] } ] } ] } def _text_card(title,text): return { "cards": [ { 'header': {'title': title, 'subtitle': 'City of Edmonton chatbot', 'imageUrl': 'http://www.gwcl.ca/wp-content/uploads/2014/01/IMG_4371.png','imageStyle': 'IMAGE'} }, { "sections": [ { "widgets": [ {"textParagraph": {"text": text}} ] }] } ] } def create_cards(cards_order): INTERACTIVE_TEXT_BUTTON_ACTION = "doTextButtonAction" INTERACTIVE_IMAGE_BUTTON_ACTION = "doImageButtonAction" INTERACTIVE_BUTTON_PARAMETER_KEY = "param_key" BOT_HEADER = 'Card Bot Python' response = dict() cards = list() widgets = list() header = None words = cards_order.lower().split() for word in words: if word == 'header': header = { 'header': { 'title': BOT_HEADER, 'subtitle': 'Card header', 'imageUrl': 'https://goo.gl/5obRKj', 'imageStyle': 'IMAGE' } } elif word == 'textparagraph': widgets.append({ 'textParagraph' : { 'text': 'This is a text paragraph.' } }) elif word == 'keyvalue': widgets.append({ 'keyValue': { 'topLabel': 'KeyValue Widget', 'content': 'This is a KeyValue widget', 'bottomLabel': 'The bottom label', 'icon': 'STAR' } }) elif word == 'interactivetextbutton': widgets.append({ 'buttons': [ { 'textButton': { 'text': 'INTERACTIVE BUTTON', 'onClick': { 'action': { 'actionMethodName': INTERACTIVE_TEXT_BUTTON_ACTION, 'parameters': [{ 'key': INTERACTIVE_BUTTON_PARAMETER_KEY, 'value': event_message }] } } } } ] }) elif word == 'interactiveimagebutton': widgets.append({ 'buttons': [ { 'imageButton': { 'icon': 'EVENT_SEAT', 'onClick': { 'action': { 'actionMethodName': INTERACTIVE_IMAGE_BUTTON_ACTION, 'parameters': [{ 'key': INTERACTIVE_BUTTON_PARAMETER_KEY, 'value': event_message }] } } } } ] }) elif word == 'textbutton': widgets.append({ 'buttons': [ { 'textButton': { 'text': 'TEXT BUTTON', 'onClick': { 'openLink': { 'url': 'https://developers.google.com', } } } } ] }) elif word == 'imagebutton': widgets.append({ 'buttons': [ { 'imageButton': { 'icon': 'EVENT_SEAT', 'onClick': { 'openLink': { 'url': 'https://developers.google.com', } } } } ] }) elif word == 'image': widgets.append({ 'image': { 'imageUrl': 'https://goo.gl/Bpa3Y5', 'onClick': { 'openLink': { 'url': 'https://developers.google.com' } } } }) if header != None: cards.append(header) cards.append({ 'sections': [{ 'widgets': widgets }]}) response['cards'] = cards return respons

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a9e7e50c7c0d766b801dd71dbb5e93eba24ab825

1,417

py

Python

students/K33402/ShkikavyyIvan/lab3/arthub/models.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

4

2020-09-03T15:41:42.000Z

2021-12-24T15:28:20.000Z

students/K33402/ShkikavyyIvan/lab3/arthub/models.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

48

2020-09-13T20:22:42.000Z

2021-04-30T11:13:30.000Z

students/K33402/ShkikavyyIvan/lab3/arthub/models.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

69

2020-09-06T10:32:37.000Z

2021-11-28T18:13:17.000Z

from django.db import models from django.contrib.auth.models import AbstractUser # Create your models here. class User(AbstractUser): username = models.CharField(max_length=20, blank=True, null=True, unique=True) email = models.EmailField() REQUIRED_FIELDS = ['first_name', 'last_name', 'email'] def __str__(self): return "{} {}".format(self.username, self.email) class Review(models.Model): RATING = [(1, '1'), (2, '2'), (3, '3'), (4, '4'), (5, '5')] author = models.ForeignKey("User", on_delete=models.CASCADE) creation = models.ForeignKey("Creation", on_delete=models.CASCADE) text = models.CharField(max_length=300) rating = models.IntegerField(choices=RATING) class Creation(models.Model): TYPE = [('Изобразительное искусство', 'Изобразительное искусство'), ('Кино', 'Кино'), ('Литература', 'Литература'), ('Музыка', 'Музыка')] name = models.CharField(max_length=100) description = models.CharField(max_length=1000) creator = models.ForeignKey("Author", null=True, blank=True, on_delete=models.CASCADE) type = models.CharField(max_length=25, choices=TYPE) def __str__(self): return "{} {}".format(self.name, self.description) class Author(models.Model): name = models.CharField(max_length=200) description = models.CharField(max_length=1000) def __str__(self): return "{}".format(self.name)

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null

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1

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null

0

1

0

3

a9fd8ee2bfd6add462cdbfb05e6e2aac2b4ecf27

63

py

Python

lol_id_tools/logger.py

RheingoldRiver/lol_id_tools

49d1730aaebbefbf1cd0205faf0c752e910a06b4

[ "MIT" ]

null

lol_id_tools/logger.py

RheingoldRiver/lol_id_tools

49d1730aaebbefbf1cd0205faf0c752e910a06b4

[ "MIT" ]

null

lol_id_tools/logger.py

RheingoldRiver/lol_id_tools

49d1730aaebbefbf1cd0205faf0c752e910a06b4

[ "MIT" ]

null

import logging lit_logger = logging.getLogger("lol_id_tools")

15.75

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1

0

null

0

1

0

3

a9fe685d96f55750b33322d1d292af285fc688c5

4,241

py

Python

price_fetcher/traderjoes.py

smartin015/expenses

c0bd7122595c0647d2548396c489935a0f789464

[ "Apache-2.0" ]

null

price_fetcher/traderjoes.py

smartin015/expenses

c0bd7122595c0647d2548396c489935a0f789464

[ "Apache-2.0" ]

null

price_fetcher/traderjoes.py

smartin015/expenses

c0bd7122595c0647d2548396c489935a0f789464

[ "Apache-2.0" ]

null

import requests def tjQuery(sku): headers = { 'authority': 'www.traderjoes.com', 'pragma': 'no-cache', 'cache-control': 'no-cache', 'sec-ch-ua': '"Chromium";v="94", "Google Chrome";v="94", ";Not A Brand";v="99"', 'accept': '*/*', 'content-type': 'application/json', 'sec-ch-ua-mobile': '?0', 'user-agent': 'Mozilla/5.0 (X11; CrOS x86_64 14150.74.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.114 Safari/537.36', 'sec-ch-ua-platform': '"Chrome OS"', 'origin': 'https://www.traderjoes.com', 'sec-fetch-site': 'same-origin', 'sec-fetch-mode': 'cors', 'sec-fetch-dest': 'empty', 'referer': 'https://www.traderjoes.com/home/products/pdp/092463', 'accept-language': 'en-US,en;q=0.9', 'cookie': 'affinity="ece063aa8b007bdb"', } data = '{"operationName":"SearchProduct","variables":{"storeCode":"678","published":"1","sku":"SKUSKUSKU"},"query":"query SearchProduct($sku: String, $storeCode: String = \\"678\\", $published: String = \\"1\\") {\\n products(\\n filter: {sku: {eq: $sku}, store_code: {eq: $storeCode}, published: {eq: $published}}\\n ) {\\n items {\\n category_hierarchy {\\n id\\n url_key\\n description\\n name\\n position\\n level\\n created_at\\n updated_at\\n product_count\\n __typename\\n }\\n item_story_marketing\\n product_label\\n fun_tags\\n primary_image\\n primary_image_meta {\\n url\\n metadata\\n __typename\\n }\\n other_images\\n other_images_meta {\\n url\\n metadata\\n __typename\\n }\\n context_image\\n context_image_meta {\\n url\\n metadata\\n __typename\\n }\\n published\\n sku\\n url_key\\n name\\n item_description\\n item_title\\n item_characteristics\\n item_story_qil\\n use_and_demo\\n sales_size\\n sales_uom_code\\n sales_uom_description\\n country_of_origin\\n availability\\n new_product\\n promotion\\n price_range {\\n minimum_price {\\n final_price {\\n currency\\n value\\n __typename\\n }\\n __typename\\n }\\n __typename\\n }\\n retail_price\\n nutrition {\\n display_sequence\\n panel_id\\n panel_title\\n serving_size\\n calories_per_serving\\n servings_per_container\\n details {\\n display_seq\\n nutritional_item\\n amount\\n percent_dv\\n __typename\\n }\\n __typename\\n }\\n ingredients {\\n display_sequence\\n ingredient\\n __typename\\n }\\n allergens {\\n display_sequence\\n ingredient\\n __typename\\n }\\n created_at\\n first_published_date\\n last_published_date\\n updated_at\\n related_products {\\n sku\\n item_title\\n primary_image\\n primary_image_meta {\\n url\\n metadata\\n __typename\\n }\\n price_range {\\n minimum_price {\\n final_price {\\n currency\\n value\\n __typename\\n }\\n __typename\\n }\\n __typename\\n }\\n retail_price\\n sales_size\\n sales_uom_description\\n category_hierarchy {\\n id\\n name\\n __typename\\n }\\n __typename\\n }\\n __typename\\n }\\n total_count\\n page_info {\\n current_page\\n page_size\\n total_pages\\n __typename\\n }\\n __typename\\n }\\n}\\n"}'.replace("SKUSKUSKU", sku) response = requests.post('https://www.traderjoes.com/api/graphql', headers=headers, data=data) return ( response.json()['data']['products']['items'][0]['item_title'], float(response.json()['data']['products']['items'][0]['retail_price']) ) def all_queries(): return [tjQuery("092463")] if __name__ == "__main__": print(all_queries())

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4,241

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null

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1

0

1

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null

0

3

e745288e1d18f5bc987b508571ab368ed98fe10a

32,648

py

Python

ot/regpath.py

cshjin/POT

eccb1386eea52b94b82456d126bd20cbe3198e05

[ "MIT" ]

624

2016-11-04T13:02:35.000Z

2020-04-16T10:27:14.000Z

ot/regpath.py

cshjin/POT

eccb1386eea52b94b82456d126bd20cbe3198e05

[ "MIT" ]

112

2016-12-02T09:01:49.000Z

2020-04-07T09:31:25.000Z

ot/regpath.py

lchapel/POT

8385b6db7a394ed48a0eff630f852a6d3952db65

[ "MIT" ]

163

2016-10-28T16:19:57.000Z

2020-04-15T13:39:23.000Z

# -*- coding: utf-8 -*- """ Regularization path OT solvers """ # Author: Haoran Wu <haoran.wu@univ-ubs.fr> # License: MIT License import numpy as np import scipy.sparse as sp def recast_ot_as_lasso(a, b, C): r"""This function recasts the l2-penalized UOT problem as a Lasso problem. Recall the l2-penalized UOT problem defined in :ref:`[41] <references-regpath>` .. math:: \text{UOT}_{\lambda} = \min_T <C, T> + \lambda \|T 1_m - \mathbf{a}\|_2^2 + \lambda \|T^T 1_n - \mathbf{b}\|_2^2 s.t. T \geq 0 where : - :math:`C` is the cost matrix - :math:`\lambda` is the l2-regularization parameter - :math:`\mathbf{a}` and :math:`\mathbf{b}` are the source and target \ distributions - :math:`T` is the transport plan to optimize The problem above can be reformulated as a non-negative penalized linear regression problem, particularly Lasso .. math:: \text{UOT2}_{\lambda} = \min_{\mathbf{t}} \gamma \mathbf{c}^T \mathbf{t} + 0.5 * \|H \mathbf{t} - \mathbf{y}\|_2^2 s.t. \mathbf{t} \geq 0 where : - :math:`\mathbf{c}` is the flattened version of the cost matrix :math:`C` - :math:`\mathbf{y}` is the concatenation of vectors :math:`\mathbf{a}` \ and :math:`\mathbf{b}` - :math:`H` is a metric matrix, see :ref:`[41] <references-regpath>` for \ the design of :math:`H`. The matrix product :math:`H\mathbf{t}` \ computes both the source marginal and the target marginals. - :math:`\mathbf{t}` is the flattened version of the transport plan \ :math:`T` Parameters ---------- a : np.ndarray (dim_a,) Histogram of dimension dim_a b : np.ndarray (dim_b,) Histogram of dimension dim_b C : np.ndarray, shape (dim_a, dim_b) Cost matrix Returns ------- H : np.ndarray (dim_a+dim_b, dim_a*dim_b) Design matrix that contains only 0 and 1 y : np.ndarray (ns + nt, ) Concatenation of histograms :math:`\mathbf{a}` and :math:`\mathbf{b}` c : np.ndarray (ns * nt, ) Flattened array of the cost matrix Examples -------- >>> import ot >>> a = np.array([0.2, 0.3, 0.5]) >>> b = np.array([0.1, 0.9]) >>> C = np.array([[16., 25.], [28., 16.], [40., 36.]]) >>> H, y, c = ot.regpath.recast_ot_as_lasso(a, b, C) >>> H.toarray() array([[1., 1., 0., 0., 0., 0.], [0., 0., 1., 1., 0., 0.], [0., 0., 0., 0., 1., 1.], [1., 0., 1., 0., 1., 0.], [0., 1., 0., 1., 0., 1.]]) >>> y array([0.2, 0.3, 0.5, 0.1, 0.9]) >>> c array([16., 25., 28., 16., 40., 36.]) References ---------- .. [41] Chapel, L., Flamary, R., Wu, H., Févotte, C., and Gasso, G. (2021). Unbalanced optimal transport through non-negative penalized linear regression. NeurIPS. """ dim_a = np.shape(a)[0] dim_b = np.shape(b)[0] y = np.concatenate((a, b)) c = C.flatten() jHa = np.arange(dim_a * dim_b) iHa = np.repeat(np.arange(dim_a), dim_b) jHb = np.arange(dim_a * dim_b) iHb = np.tile(np.arange(dim_b), dim_a) + dim_a j = np.concatenate((jHa, jHb)) i = np.concatenate((iHa, iHb)) H = sp.csc_matrix((np.ones(dim_a * dim_b * 2), (i, j)), shape=(dim_a + dim_b, dim_a * dim_b)) return H, y, c def recast_semi_relaxed_as_lasso(a, b, C): r"""This function recasts the semi-relaxed l2-UOT problem as Lasso problem. .. math:: \text{semi-relaxed UOT} = \min_T <C, T> + \lambda \|T 1_m - \mathbf{a}\|_2^2 s.t. T^T 1_n = \mathbf{b} \mathbf{t} \geq 0 where : - :math:`C` is the metric cost matrix - :math:`\lambda` is the l2-regularization parameter - :math:`\mathbf{a}` and :math:`\mathbf{b}` are the source and target \ distributions - :math:`T` is the transport plan to optimize The problem above can be reformulated as follows .. math:: \text{semi-relaxed UOT2} = \min_t \gamma \mathbf{c}^T t + 0.5 * \|H_r \mathbf{t} - \mathbf{a}\|_2^2 s.t. H_c \mathbf{t} = \mathbf{b} \mathbf{t} \geq 0 where : - :math:`\mathbf{c}` is flattened version of the cost matrix :math:`C` - :math:`\gamma = 1/\lambda` is the l2-regularization parameter - :math:`H_r` is a metric matrix which computes the sum along the \ rows of the transport plan :math:`T` - :math:`H_c` is a metric matrix which computes the sum along the \ columns of the transport plan :math:`T` - :math:`\mathbf{t}` is the flattened version of :math:`T` Parameters ---------- a : np.ndarray (dim_a,) Histogram of dimension dim_a b : np.ndarray (dim_b,) Histogram of dimension dim_b C : np.ndarray, shape (dim_a, dim_b) Cost matrix Returns ------- Hr : np.ndarray (dim_a, dim_a * dim_b) Auxiliary matrix constituted by 0 and 1, which computes the sum along the rows of transport plan :math:`T` Hc : np.ndarray (dim_b, dim_a * dim_b) Auxiliary matrix constituted by 0 and 1, which computes the sum along the columns of transport plan :math:`T` c : np.ndarray (ns * nt, ) Flattened array of the cost matrix Examples -------- >>> import ot >>> a = np.array([0.2, 0.3, 0.5]) >>> b = np.array([0.1, 0.9]) >>> C = np.array([[16., 25.], [28., 16.], [40., 36.]]) >>> Hr,Hc,c = ot.regpath.recast_semi_relaxed_as_lasso(a, b, C) >>> Hr.toarray() array([[1., 1., 0., 0., 0., 0.], [0., 0., 1., 1., 0., 0.], [0., 0., 0., 0., 1., 1.]]) >>> Hc.toarray() array([[1., 0., 1., 0., 1., 0.], [0., 1., 0., 1., 0., 1.]]) >>> c array([16., 25., 28., 16., 40., 36.]) """ dim_a = np.shape(a)[0] dim_b = np.shape(b)[0] c = C.flatten() jHr = np.arange(dim_a * dim_b) iHr = np.repeat(np.arange(dim_a), dim_b) jHc = np.arange(dim_a * dim_b) iHc = np.tile(np.arange(dim_b), dim_a) Hr = sp.csc_matrix((np.ones(dim_a * dim_b), (iHr, jHr)), shape=(dim_a, dim_a * dim_b)) Hc = sp.csc_matrix((np.ones(dim_a * dim_b), (iHc, jHc)), shape=(dim_b, dim_a * dim_b)) return Hr, Hc, c def ot_next_gamma(phi, delta, HtH, Hty, c, active_index, current_gamma): r""" This function computes the next value of gamma if a variable is added in the next iteration of the regularization path. We look for the largest value of gamma such that the gradient of an inactive variable vanishes .. math:: \max_{i \in \bar{A}} \frac{\mathbf{h}_i^T(H_A \phi - \mathbf{y})} {\mathbf{h}_i^T H_A \delta - \mathbf{c}_i} where : - A is the current active set - :math:`\mathbf{h}_i` is the :math:`i` th column of the design \ matrix :math:`{H}` - :math:`{H}_A` is the sub-matrix constructed by the columns of \ :math:`{H}` whose indices belong to the active set A - :math:`\mathbf{c}_i` is the :math:`i` th element of the cost vector \ :math:`\mathbf{c}` - :math:`\mathbf{y}` is the concatenation of the source and target \ distributions - :math:`\phi` is the intercept of the solutions at the current iteration - :math:`\delta` is the slope of the solutions at the current iteration Parameters ---------- phi : np.ndarray (size(A), ) Intercept of the solutions at the current iteration delta : np.ndarray (size(A), ) Slope of the solutions at the current iteration HtH : np.ndarray (dim_a * dim_b, dim_a * dim_b) Matrix product of :math:`{H}^T {H}` Hty : np.ndarray (dim_a + dim_b, ) Matrix product of :math:`{H}^T \mathbf{y}` c: np.ndarray (dim_a * dim_b, ) Flattened array of the cost matrix :math:`{C}` active_index : list Indices of active variables current_gamma : float Value of the regularization parameter at the beginning of the current \ iteration Returns ------- next_gamma : float Value of gamma if a variable is added to active set in next iteration next_active_index : int Index of variable to be activated References ---------- .. [41] Chapel, L., Flamary, R., Wu, H., Févotte, C., and Gasso, G. (2021). Unbalanced optimal transport through non-negative penalized linear regression. NeurIPS. """ M = (HtH[:, active_index].dot(phi) - Hty) / \ (HtH[:, active_index].dot(delta) - c + 1e-16) M[active_index] = 0 M[M > (current_gamma - 1e-10 * current_gamma)] = 0 return np.max(M), np.argmax(M) def semi_relaxed_next_gamma(phi, delta, phi_u, delta_u, HrHr, Hc, Hra, c, active_index, current_gamma): r""" This function computes the next value of gamma when a variable is active in the regularization path of semi-relaxed UOT. By taking the Lagrangian form of the problem, we obtain a similar update as the two-sided relaxed UOT .. math:: \max_{i \in \bar{A}} \frac{\mathbf{h}_{ri}^T(H_{rA} \phi - \mathbf{a}) + \mathbf{h}_{c i}^T\phi_u}{\mathbf{h}_{r i}^T H_{r A} \delta + \ \mathbf{h}_{c i} \delta_u - \mathbf{c}_i} where : - A is the current active set - :math:`\mathbf{h}_{r i}` is the ith column of the matrix :math:`H_r` - :math:`\mathbf{h}_{c i}` is the ith column of the matrix :math:`H_c` - :math:`H_{r A}` is the sub-matrix constructed by the columns of \ :math:`H_r` whose indices belong to the active set A - :math:`\mathbf{c}_i` is the :math:`i` th element of cost vector \ :math:`\mathbf{c}` - :math:`\phi` is the intercept of the solutions in current iteration - :math:`\delta` is the slope of the solutions in current iteration - :math:`\phi_u` is the intercept of Lagrange parameter at the \ current iteration - :math:`\delta_u` is the slope of Lagrange parameter at the \ current iteration Parameters ---------- phi : np.ndarray (size(A), ) Intercept of the solutions at the current iteration delta : np.ndarray (size(A), ) Slope of the solutions at the current iteration phi_u : np.ndarray (dim_b, ) Intercept of the Lagrange parameter at the current iteration delta_u : np.ndarray (dim_b, ) Slope of the Lagrange parameter at the current iteration HrHr : np.ndarray (dim_a * dim_b, dim_a * dim_b) Matrix product of :math:`H_r^T H_r` Hc : np.ndarray (dim_b, dim_a * dim_b) Matrix that computes the sum along the columns of the transport plan \ :math:`T` Hra : np.ndarray (dim_a * dim_b, ) Matrix product of :math:`H_r^T \mathbf{a}` c: np.ndarray (dim_a * dim_b, ) Flattened array of cost matrix :math:`C` active_index : list Indices of active variables current_gamma : float Value of regularization coefficient at the start of current iteration Returns ------- next_gamma : float Value of gamma if a variable is added to active set in next iteration next_active_index : int Index of variable to be activated References ---------- .. [41] Chapel, L., Flamary, R., Wu, H., Févotte, C., and Gasso, G. (2021). Unbalanced optimal transport through non-negative penalized linear regression. NeurIPS. """ M = (HrHr[:, active_index].dot(phi) - Hra + Hc.T.dot(phi_u)) / \ (HrHr[:, active_index].dot(delta) - c + Hc.T.dot(delta_u) + 1e-16) M[active_index] = 0 M[M > (current_gamma - 1e-10 * current_gamma)] = 0 return np.max(M), np.argmax(M) def compute_next_removal(phi, delta, current_gamma): r""" This function computes the next gamma value if a variable is removed at the next iteration of the regularization path. We look for the largest value of the regularization parameter such that an element of the current solution vanishes .. math:: \max_{j \in A} \frac{\phi_j}{\delta_j} where : - A is the current active set - :math:`\phi_j` is the :math:`j` th element of the intercept of the \ current solution - :math:`\delta_j` is the :math:`j` th element of the slope of the \ current solution Parameters ---------- phi : ndarray, shape (size(A), ) Intercept of the solution at the current iteration delta : ndarray, shape (size(A), ) Slope of the solution at the current iteration current_gamma : float Value of the regularization parameter at the beginning of the \ current iteration Returns ------- next_removal_gamma : float Gamma value if a variable is removed at the next iteration next_removal_index : int Index of the variable to be removed at the next iteration .. _references-regpath: References ---------- .. [41] Chapel, L., Flamary, R., Wu, H., Févotte, C., and Gasso, G. (2021). Unbalanced optimal transport through non-negative penalized linear regression. NeurIPS. """ r_candidate = phi / (delta - 1e-16) r_candidate[r_candidate >= (1 - 1e-8) * current_gamma] = 0 return np.max(r_candidate), np.argmax(r_candidate) def complement_schur(M_current, b, d, id_pop): r""" This function computes the inverse of the design matrix in the \ regularization path using the Schur complement. Two cases may arise: Case 1: one variable is added to the active set .. math:: M_{k+1}^{-1} = \begin{bmatrix} M_{k}^{-1} + s^{-1} M_{k}^{-1} \mathbf{b} \mathbf{b}^T M_{k}^{-1} \ & - M_{k}^{-1} \mathbf{b} s^{-1} \\ - s^{-1} \mathbf{b}^T M_{k}^{-1} & s^{-1} \end{bmatrix} where : - :math:`M_k^{-1}` is the inverse of the design matrix :math:`H_A^tH_A` \ of the previous iteration - :math:`\mathbf{b}` is the last column of :math:`M_{k}` - :math:`s` is the Schur complement, given by \ :math:`s = \mathbf{d} - \mathbf{b}^T M_{k}^{-1} \mathbf{b}` Case 2: one variable is removed from the active set. .. math:: M_{k+1}^{-1} = M^{-1}_{k \backslash q} - \frac{r_{-q,q} r^{T}_{-q,q}}{r_{q,q}} where : - :math:`q` is the index of column and row to delete - :math:`M^{-1}_{k \backslash q}` is the previous inverse matrix deprived \ of the :math:`q` th column and :math:`q` th row - :math:`r_{-q,q}` is the :math:`q` th column of :math:`M^{-1}_{k}` \ without the :math:`q` th element - :math:`r_{q, q}` is the element of :math:`q` th column and :math:`q` th \ row in :math:`M^{-1}_{k}` Parameters ---------- M_current : ndarray, shape (size(A)-1, size(A)-1) Inverse matrix of :math:`H_A^tH_A` at the previous iteration, with \ size(A) the size of the active set b : ndarray, shape (size(A)-1, ) None for case 2 (removal), last column of :math:`M_{k}` for case 1 \ (addition) d : float should be equal to 2 when UOT and 1 for the semi-relaxed OT id_pop : int Index of the variable to be removed, equal to -1 if no variable is deleted at the current iteration Returns ------- M : ndarray, shape (size(A), size(A)) Inverse matrix of :math:`H_A^tH_A` of the current iteration References ---------- .. [41] Chapel, L., Flamary, R., Wu, H., Févotte, C., and Gasso, G. (2021). Unbalanced optimal transport through non-negative penalized linear regression. NeurIPS. """ if b is None: b = M_current[id_pop, :] b = np.delete(b, id_pop) M_del = np.delete(M_current, id_pop, 0) a = M_del[:, id_pop] M_del = np.delete(M_del, id_pop, 1) M = M_del - np.outer(a, b) / M_current[id_pop, id_pop] else: n = b.shape[0] + 1 if np.shape(b)[0] == 0: M = np.array([[0.5]]) else: X = M_current.dot(b) s = d - b.T.dot(X) M = np.zeros((n, n)) M[:-1, :-1] = M_current + X.dot(X.T) / s X_ravel = X.ravel() M[-1, :-1] = -X_ravel / s M[:-1, -1] = -X_ravel / s M[-1, -1] = 1 / s return M def construct_augmented_H(active_index, m, Hc, HrHr): r""" This function constructs an augmented matrix for the first iteration of the semi-relaxed regularization path .. math:: \text{Augmented}_H = \begin{bmatrix} 0 & H_{c A} \\ H_{c A}^T & H_{r A}^T H_{r A} \end{bmatrix} where : - :math:`H_{r A}` is the sub-matrix constructed by the columns of \ :math:`H_r` whose indices belong to the active set A - :math:`H_{c A}` is the sub-matrix constructed by the columns of \ :math:`H_c` whose indices belong to the active set A Parameters ---------- active_index : list Indices of the active variables m : int Length of the target distribution Hc : np.ndarray (dim_b, dim_a * dim_b) Matrix that computes the sum along the columns of the transport plan \ :math:`T` HrHr : np.ndarray (dim_a * dim_b, dim_a * dim_b) Matrix product of :math:`H_r^T H_r` Returns ------- H_augmented : np.ndarray (dim_b + size(A), dim_b + size(A)) Augmented matrix for the first iteration of the semi-relaxed regularization path """ Hc_sub = Hc[:, active_index].toarray() HrHr_sub = HrHr[:, active_index] HrHr_sub = HrHr_sub[active_index, :].toarray() H_augmented = np.block([[np.zeros((m, m)), Hc_sub], [Hc_sub.T, HrHr_sub]]) return H_augmented def fully_relaxed_path(a: np.array, b: np.array, C: np.array, reg=1e-4, itmax=50000): r"""This function gives the regularization path of l2-penalized UOT problem The problem to optimize is the Lasso reformulation of the l2-penalized UOT: .. math:: \min_t \gamma \mathbf{c}^T \mathbf{t} + 0.5 * \|{H} \mathbf{t} - \mathbf{y}\|_2^2 s.t. \mathbf{t} \geq 0 where : - :math:`\mathbf{c}` is the flattened version of the cost matrix \ :math:`{C}` - :math:`\gamma = 1/\lambda` is the l2-regularization coefficient - :math:`\mathbf{y}` is the concatenation of vectors :math:`\mathbf{a}` \ and :math:`\mathbf{b}`, defined as \ :math:`\mathbf{y}^T = [\mathbf{a}^T \mathbf{b}^T]` - :math:`{H}` is a design matrix, see :ref:`[41] <references-regpath>` \ for the design of :math:`{H}`. The matrix product :math:`H\mathbf{t}` \ computes both the source marginal and the target marginals. - :math:`\mathbf{t}` is the flattened version of the transport matrix Parameters ---------- a : np.ndarray (dim_a,) Histogram of dimension dim_a b : np.ndarray (dim_b,) Histogram of dimension dim_b C : np.ndarray, shape (dim_a, dim_b) Cost matrix reg: float l2-regularization coefficient itmax: int Maximum number of iteration Returns ------- t : np.ndarray (dim_a*dim_b, ) Flattened vector of the optimal transport matrix t_list : list List of solutions in the regularization path gamma_list : list List of regularization coefficients in the regularization path Examples -------- >>> import ot >>> import numpy as np >>> n = 3 >>> xs = np.array([1., 2., 3.]).reshape((n, 1)) >>> xt = np.array([5., 6., 7.]).reshape((n, 1)) >>> C = ot.dist(xs, xt) >>> C /= C.max() >>> a = np.array([0.2, 0.5, 0.3]) >>> b = np.array([0.2, 0.5, 0.3]) >>> t, _, _ = ot.regpath.fully_relaxed_path(a, b, C, 1e-4) >>> t array([1.99958333e-01, 0.00000000e+00, 0.00000000e+00, 3.88888889e-05, 4.99938889e-01, 0.00000000e+00, 0.00000000e+00, 3.88888889e-05, 2.99958333e-01]) References ---------- .. [41] Chapel, L., Flamary, R., Wu, H., Févotte, C., and Gasso, G. (2021). Unbalanced optimal transport through non-negative penalized linear regression. NeurIPS. """ n = np.shape(a)[0] m = np.shape(b)[0] H, y, c = recast_ot_as_lasso(a, b, C) HtH = H.T.dot(H) Hty = H.T.dot(y) n_iter = 1 # initialization M0 = Hty / c gamma_list = [np.max(M0)] active_index = [np.argmax(M0)] t_list = [np.zeros((n * m,))] H_inv = np.array([[]]) add_col = np.array([]) id_pop = -1 while n_iter < itmax and gamma_list[-1] > reg: H_inv = complement_schur(H_inv, add_col, 2., id_pop) current_gamma = gamma_list[-1] # compute the intercept and slope of solutions in current iteration # t = phi - gamma * delta phi = H_inv.dot(Hty[active_index]) delta = H_inv.dot(c[active_index]) gamma, ik = ot_next_gamma(phi, delta, HtH, Hty, c, active_index, current_gamma) # compute the next lambda when removing a point from the active set alt_gamma, id_pop = compute_next_removal(phi, delta, current_gamma) # if the positivity constraint is violated, we remove id_pop # from active set, otherwise we add ik to active set if alt_gamma > gamma: gamma = alt_gamma else: id_pop = -1 # compute the solution of current segment tA = phi - gamma * delta sol = np.zeros((n * m, )) sol[active_index] = tA if id_pop != -1: active_index.pop(id_pop) add_col = None else: active_index.append(ik) add_col = HtH[active_index[:-1], ik].toarray() gamma_list.append(gamma) t_list.append(sol) n_iter += 1 if itmax <= n_iter: print('maximum iteration has been reached !') # correct the last solution and gamma if len(t_list) > 1: t_final = (t_list[-2] + (t_list[-1] - t_list[-2]) * (reg - gamma_list[-2]) / (gamma_list[-1] - gamma_list[-2])) t_list[-1] = t_final gamma_list[-1] = reg else: gamma_list[-1] = reg print('Regularization path does not exist !') return t_list[-1], t_list, gamma_list def semi_relaxed_path(a: np.array, b: np.array, C: np.array, reg=1e-4, itmax=50000): r"""This function gives the regularization path of semi-relaxed l2-UOT problem. The problem to optimize is the Lasso reformulation of the l2-penalized UOT: .. math:: \min_t \gamma \mathbf{c}^T t + 0.5 * \|H_r \mathbf{t} - \mathbf{a}\|_2^2 s.t. H_c \mathbf{t} = \mathbf{b} \mathbf{t} \geq 0 where : - :math:`\mathbf{c}` is the flattened version of the cost matrix \ :math:`C` - :math:`\gamma = 1/\lambda` is the l2-regularization parameter - :math:`H_r` is a matrix that computes the sum along the rows of \ the transport plan :math:`T` - :math:`H_c` is a matrix that computes the sum along the columns of \ the transport plan :math:`T` - :math:`\mathbf{t}` is the flattened version of the transport plan \ :math:`T` Parameters ---------- a : np.ndarray (dim_a,) Histogram of dimension dim_a b : np.ndarray (dim_b,) Histogram of dimension dim_b C : np.ndarray, shape (dim_a, dim_b) Cost matrix reg: float (optional) l2-regularization coefficient itmax: int (optional) Maximum number of iteration Returns ------- t : np.ndarray (dim_a*dim_b, ) Flattened vector of the (unregularized) optimal transport matrix t_list : list List of all the optimal transport vectors of the regularization path gamma_list : list List of the regularization parameters in the path Examples -------- >>> import ot >>> import numpy as np >>> n = 3 >>> xs = np.array([1., 2., 3.]).reshape((n, 1)) >>> xt = np.array([5., 6., 7.]).reshape((n, 1)) >>> C = ot.dist(xs, xt) >>> C /= C.max() >>> a = np.array([0.2, 0.5, 0.3]) >>> b = np.array([0.2, 0.5, 0.3]) >>> t, _, _ = ot.regpath.semi_relaxed_path(a, b, C, 1e-4) >>> t array([1.99980556e-01, 0.00000000e+00, 0.00000000e+00, 1.94444444e-05, 4.99980556e-01, 0.00000000e+00, 0.00000000e+00, 1.94444444e-05, 3.00000000e-01]) References ---------- .. [41] Chapel, L., Flamary, R., Wu, H., Févotte, C., and Gasso, G. (2021). Unbalanced optimal transport through non-negative penalized linear regression. NeurIPS. """ n = np.shape(a)[0] m = np.shape(b)[0] Hr, Hc, c = recast_semi_relaxed_as_lasso(a, b, C) Hra = Hr.T.dot(a) HrHr = Hr.T.dot(Hr) n_iter = 1 active_index = [] # initialization for j in range(np.shape(C)[1]): i = np.argmin(C[:, j]) active_index.append(i * m + j) gamma_list = [] t_list = [] current_gamma = np.Inf augmented_H0 = construct_augmented_H(active_index, m, Hc, HrHr) add_col = np.array([]) id_pop = -1 while n_iter < itmax and current_gamma > reg: if n_iter == 1: H_inv = np.linalg.inv(augmented_H0) else: H_inv = complement_schur(H_inv, add_col, 1., id_pop + m) # compute the intercept and slope of solutions in current iteration augmented_phi = H_inv.dot(np.concatenate((b, Hra[active_index]))) augmented_delta = H_inv[:, m:].dot(c[active_index]) phi = augmented_phi[m:] delta = augmented_delta[m:] phi_u = augmented_phi[0:m] delta_u = augmented_delta[0:m] gamma, ik = semi_relaxed_next_gamma(phi, delta, phi_u, delta_u, HrHr, Hc, Hra, c, active_index, current_gamma) # compute the next lambda when removing a point from the active set alt_gamma, id_pop = compute_next_removal(phi, delta, current_gamma) # if the positivity constraint is violated, we remove id_pop # from active set, otherwise we add ik to active set if alt_gamma > gamma: gamma = alt_gamma else: id_pop = -1 # compute the solution of current segment tA = phi - gamma * delta sol = np.zeros((n * m, )) sol[active_index] = tA if id_pop != -1: active_index.pop(id_pop) add_col = None else: active_index.append(ik) add_col = np.concatenate((Hc.toarray()[:, ik], HrHr.toarray()[active_index[:-1], ik])) add_col = add_col[:, np.newaxis] gamma_list.append(gamma) t_list.append(sol) current_gamma = gamma n_iter += 1 if itmax <= n_iter: print('maximum iteration has been reached !') # correct the last solution and gamma if len(t_list) > 1: t_final = (t_list[-2] + (t_list[-1] - t_list[-2]) * (reg - gamma_list[-2]) / (gamma_list[-1] - gamma_list[-2])) t_list[-1] = t_final gamma_list[-1] = reg else: gamma_list[-1] = reg print('Regularization path does not exist !') return t_list[-1], t_list, gamma_list def regularization_path(a: np.array, b: np.array, C: np.array, reg=1e-4, semi_relaxed=False, itmax=50000): r"""This function provides all the solutions of the regularization path \ of the l2-UOT problem :ref:`[41] <references-regpath>`. The problem to optimize is the Lasso reformulation of the l2-penalized UOT: .. math:: \min_t \gamma \mathbf{c}^T \mathbf{t} + 0.5 * \|{H} \mathbf{t} - \mathbf{y}\|_2^2 s.t. \mathbf{t} \geq 0 where : - :math:`\mathbf{c}` is the flattened version of the cost matrix \ :math:`{C}` - :math:`\gamma = 1/\lambda` is the l2-regularization coefficient - :math:`\mathbf{y}` is the concatenation of vectors :math:`\mathbf{a}` \ and :math:`\mathbf{b}`, defined as \ :math:`\mathbf{y}^T = [\mathbf{a}^T \mathbf{b}^T]` - :math:`{H}` is a design matrix, see :ref:`[41] <references-regpath>` \ for the design of :math:`{H}`. The matrix product :math:`H\mathbf{t}` \ computes both the source marginal and the target marginals. - :math:`\mathbf{t}` is the flattened version of the transport matrix For the semi-relaxed problem, it optimizes the Lasso reformulation of the l2-penalized UOT: .. math:: \min_t \gamma \mathbf{c}^T \mathbf{t} + 0.5 * \|H_r \mathbf{t} - \mathbf{a}\|_2^2 s.t. H_c \mathbf{t} = \mathbf{b} \mathbf{t} \geq 0 Parameters ---------- a : np.ndarray (dim_a,) Histogram of dimension dim_a b : np.ndarray (dim_b,) Histogram of dimension dim_b C : np.ndarray, shape (dim_a, dim_b) Cost matrix reg: float (optional) l2-regularization coefficient semi_relaxed : bool (optional) Give the semi-relaxed path if True itmax: int (optional) Maximum number of iteration Returns ------- t : np.ndarray (dim_a*dim_b, ) Flattened vector of the (unregularized) optimal transport matrix t_list : list List of all the optimal transport vectors of the regularization path gamma_list : list List of the regularization parameters in the path References ---------- .. [41] Chapel, L., Flamary, R., Wu, H., Févotte, C., and Gasso, G. (2021). Unbalanced optimal transport through non-negative penalized linear regression. NeurIPS. """ if semi_relaxed: t, t_list, gamma_list = semi_relaxed_path(a, b, C, reg=reg, itmax=itmax) else: t, t_list, gamma_list = fully_relaxed_path(a, b, C, reg=reg, itmax=itmax) return t, t_list, gamma_list def compute_transport_plan(gamma, gamma_list, Pi_list): r""" Given the regularization path, this function computes the transport plan for any value of gamma thanks to the piecewise linearity of the path. .. math:: t(\gamma) = \phi(\gamma) - \gamma \delta(\gamma) where: - :math:`\gamma` is the regularization parameter - :math:`\phi(\gamma)` is the corresponding intercept - :math:`\delta(\gamma)` is the corresponding slope - :math:`\mathbf{t}` is the flattened version of the transport matrix Parameters ---------- gamma : float Regularization coefficient gamma_list : list List of regularization parameters of the regularization path Pi_list : list List of all the solutions of the regularization path Returns ------- t : np.ndarray (dim_a*dim_b, ) Vectorization of the transport plan corresponding to the given value of gamma Examples -------- >>> import ot >>> import numpy as np >>> n = 3 >>> xs = np.array([1., 2., 3.]).reshape((n, 1)) >>> xt = np.array([5., 6., 7.]).reshape((n, 1)) >>> C = ot.dist(xs, xt) >>> C /= C.max() >>> a = np.array([0.2, 0.5, 0.3]) >>> b = np.array([0.2, 0.5, 0.3]) >>> t, pi_list, g_list = ot.regpath.regularization_path(a, b, C, reg=1e-4) >>> gamma = 1 >>> t2 = ot.regpath.compute_transport_plan(gamma, g_list, pi_list) >>> t2 array([0. , 0. , 0. , 0.19722222, 0.05555556, 0. , 0. , 0.24722222, 0. ]) .. _references-regpath: References ---------- .. [41] Chapel, L., Flamary, R., Wu, H., Févotte, C., and Gasso, G. (2021). Unbalanced optimal transport through non-negative penalized linear regression. NeurIPS. """ if gamma >= gamma_list[0]: Pi = Pi_list[0] elif gamma <= gamma_list[-1]: Pi = Pi_list[-1] else: idx = np.where(gamma <= np.array(gamma_list))[0][-1] gamma_k0 = gamma_list[idx] gamma_k1 = gamma_list[idx + 1] pi_k0 = Pi_list[idx] pi_k1 = Pi_list[idx + 1] Pi = pi_k0 + (pi_k1 - pi_k0) * (gamma - gamma_k0) \ / (gamma_k1 - gamma_k0) return Pi

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heolin123/funcrowd

20167783de208394c09ed0429a5f02ec6dd79c42

[ "MIT" ]

11

2019-11-12T23:26:45.000Z

2021-06-10T17:37:23.000Z

modules/aggregation/management/commands/aggregate_items.py

heolin123/funcrowd

20167783de208394c09ed0429a5f02ec6dd79c42

[ "MIT" ]

null

from django.core.management.base import BaseCommand class Command(BaseCommand): help = 'Update items aggregation' def handle(self, *args, **kwargs): pass

17.4

51

0.695402

20

174

6.05

0.95

0

0.206897

174

9

52

19.333333

0.876812

0

0.138728

0

1

0.2

false

0.2

0

0.8

0

1

0

null

0

1

0

null

0

1

0

3

e75a3b474a71c08c1c3b61ee5d6fd417cb20c308

689

bzl

Python

third_party/dlpack/workspace.bzl

ashutom/tensorflow-upstream

c16069c19de9e286dd664abb78d0ea421e9f32d4

[ "Apache-2.0" ]

190,993

2015-11-09T13:17:30.000Z

2022-03-31T23:05:27.000Z

third_party/dlpack/workspace.bzl

CaptainGizzy21/tensorflow

3457a2b122e50b4d44ceaaed5a663d635e5c22df

[ "Apache-2.0" ]

48,461

2015-11-09T14:21:11.000Z

2022-03-31T23:17:33.000Z

third_party/dlpack/workspace.bzl

CaptainGizzy21/tensorflow

3457a2b122e50b4d44ceaaed5a663d635e5c22df

[ "Apache-2.0" ]

104,981

2015-11-09T13:40:17.000Z

2022-03-31T19:51:54.000Z

"""DLPack is a protocol for sharing arrays between deep learning frameworks.""" load("//third_party:repo.bzl", "tf_http_archive") def repo(): tf_http_archive( name = "dlpack", strip_prefix = "dlpack-3efc489b55385936531a06ff83425b719387ec63", sha256 = "b59586ce69bcf3efdbf3cf4803fadfeaae4948044e2b8d89cf912194cf28f233", urls = [ "https://storage.googleapis.com/mirror.tensorflow.org/github.com/dmlc/dlpack/archive/3efc489b55385936531a06ff83425b719387ec63.tar.gz", "https://github.com/dmlc/dlpack/archive/3efc489b55385936531a06ff83425b719387ec63.tar.gz", ], build_file = "//third_party/dlpack:BUILD.bazel", )

43.0625

146

0.712627

64

689

7.546875

0.640625

0.041408

0.05383

0.078675

0.293996

0

0.223776

0.169811

689

15

147

45.933333

0.620629

0.105951

0

0.083333

0.660656

0.270492

0

1

0.083333

true

0

0.083333

0

null

0

1

0

1

0

null

0

1

0

3

e763a712fd2ae8a0997a8a6afe336f4e91c3354b

249,680

py

Python

gen/apache/aurora/api/ttypes.py

broadinstitute/herc

dd75ed41a1433f8b6c6f0d338194a3488b76fc11

[ "Apache-2.0", "BSD-3-Clause" ]

8

2015-03-04T19:10:03.000Z

2017-05-30T09:42:06.000Z

gen/apache/aurora/api/ttypes.py

broadinstitute/herc

dd75ed41a1433f8b6c6f0d338194a3488b76fc11

[ "Apache-2.0", "BSD-3-Clause" ]

13

2015-03-04T21:05:08.000Z

2015-04-10T22:52:47.000Z

gen/apache/aurora/api/ttypes.py

broadinstitute/herc

dd75ed41a1433f8b6c6f0d338194a3488b76fc11

[ "Apache-2.0", "BSD-3-Clause" ]

null

# # Autogenerated by Thrift Compiler (1.0.0-dev) # # DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING # # options string: py # from thrift.Thrift import TType, TMessageType, TException, TApplicationException from thrift.transport import TTransport from thrift.protocol import TBinaryProtocol, TProtocol try: from thrift.protocol import fastbinary except: fastbinary = None class ResponseCode: INVALID_REQUEST = 0 OK = 1 ERROR = 2 WARNING = 3 AUTH_FAILED = 4 LOCK_ERROR = 5 ERROR_TRANSIENT = 6 _VALUES_TO_NAMES = { 0: "INVALID_REQUEST", 1: "OK", 2: "ERROR", 3: "WARNING", 4: "AUTH_FAILED", 5: "LOCK_ERROR", 6: "ERROR_TRANSIENT", } _NAMES_TO_VALUES = { "INVALID_REQUEST": 0, "OK": 1, "ERROR": 2, "WARNING": 3, "AUTH_FAILED": 4, "LOCK_ERROR": 5, "ERROR_TRANSIENT": 6, } class MaintenanceMode: NONE = 1 SCHEDULED = 2 DRAINING = 3 DRAINED = 4 _VALUES_TO_NAMES = { 1: "NONE", 2: "SCHEDULED", 3: "DRAINING", 4: "DRAINED", } _NAMES_TO_VALUES = { "NONE": 1, "SCHEDULED": 2, "DRAINING": 3, "DRAINED": 4, } class LockValidation: """ Defines the required lock validation level. """ CHECKED = 0 UNCHECKED = 1 _VALUES_TO_NAMES = { 0: "CHECKED", 1: "UNCHECKED", } _NAMES_TO_VALUES = { "CHECKED": 0, "UNCHECKED": 1, } class Mode: """ The mode for a volume mount """ RW = 1 RO = 2 _VALUES_TO_NAMES = { 1: "RW", 2: "RO", } _NAMES_TO_VALUES = { "RW": 1, "RO": 2, } class CronCollisionPolicy: """ Defines the policy for launching a new cron job when one is already running. """ KILL_EXISTING = 0 CANCEL_NEW = 1 RUN_OVERLAP = 2 _VALUES_TO_NAMES = { 0: "KILL_EXISTING", 1: "CANCEL_NEW", 2: "RUN_OVERLAP", } _NAMES_TO_VALUES = { "KILL_EXISTING": 0, "CANCEL_NEW": 1, "RUN_OVERLAP": 2, } class ScheduleStatus: """ States that a task may be in. """ INIT = 11 THROTTLED = 16 PENDING = 0 ASSIGNED = 9 STARTING = 1 RUNNING = 2 FINISHED = 3 PREEMPTING = 13 RESTARTING = 12 DRAINING = 17 FAILED = 4 KILLED = 5 KILLING = 6 LOST = 7 _VALUES_TO_NAMES = { 11: "INIT", 16: "THROTTLED", 0: "PENDING", 9: "ASSIGNED", 1: "STARTING", 2: "RUNNING", 3: "FINISHED", 13: "PREEMPTING", 12: "RESTARTING", 17: "DRAINING", 4: "FAILED", 5: "KILLED", 6: "KILLING", 7: "LOST", } _NAMES_TO_VALUES = { "INIT": 11, "THROTTLED": 16, "PENDING": 0, "ASSIGNED": 9, "STARTING": 1, "RUNNING": 2, "FINISHED": 3, "PREEMPTING": 13, "RESTARTING": 12, "DRAINING": 17, "FAILED": 4, "KILLED": 5, "KILLING": 6, "LOST": 7, } class JobUpdateStatus: """ States that a job update may be in. """ ROLLING_FORWARD = 0 ROLLING_BACK = 1 ROLL_FORWARD_PAUSED = 2 ROLL_BACK_PAUSED = 3 ROLLED_FORWARD = 4 ROLLED_BACK = 5 ABORTED = 6 ERROR = 7 FAILED = 8 ROLL_FORWARD_AWAITING_PULSE = 9 ROLL_BACK_AWAITING_PULSE = 10 _VALUES_TO_NAMES = { 0: "ROLLING_FORWARD", 1: "ROLLING_BACK", 2: "ROLL_FORWARD_PAUSED", 3: "ROLL_BACK_PAUSED", 4: "ROLLED_FORWARD", 5: "ROLLED_BACK", 6: "ABORTED", 7: "ERROR", 8: "FAILED", 9: "ROLL_FORWARD_AWAITING_PULSE", 10: "ROLL_BACK_AWAITING_PULSE", } _NAMES_TO_VALUES = { "ROLLING_FORWARD": 0, "ROLLING_BACK": 1, "ROLL_FORWARD_PAUSED": 2, "ROLL_BACK_PAUSED": 3, "ROLLED_FORWARD": 4, "ROLLED_BACK": 5, "ABORTED": 6, "ERROR": 7, "FAILED": 8, "ROLL_FORWARD_AWAITING_PULSE": 9, "ROLL_BACK_AWAITING_PULSE": 10, } class JobUpdateAction: """ Job update actions that can be applied to job instances. """ INSTANCE_UPDATED = 1 INSTANCE_ROLLED_BACK = 2 INSTANCE_UPDATING = 3 INSTANCE_ROLLING_BACK = 4 INSTANCE_UPDATE_FAILED = 5 INSTANCE_ROLLBACK_FAILED = 6 _VALUES_TO_NAMES = { 1: "INSTANCE_UPDATED", 2: "INSTANCE_ROLLED_BACK", 3: "INSTANCE_UPDATING", 4: "INSTANCE_ROLLING_BACK", 5: "INSTANCE_UPDATE_FAILED", 6: "INSTANCE_ROLLBACK_FAILED", } _NAMES_TO_VALUES = { "INSTANCE_UPDATED": 1, "INSTANCE_ROLLED_BACK": 2, "INSTANCE_UPDATING": 3, "INSTANCE_ROLLING_BACK": 4, "INSTANCE_UPDATE_FAILED": 5, "INSTANCE_ROLLBACK_FAILED": 6, } class JobUpdatePulseStatus: """ Status of the coordinated update. Intended as a response to pulseJobUpdate RPC. """ OK = 1 FINISHED = 2 _VALUES_TO_NAMES = { 1: "OK", 2: "FINISHED", } _NAMES_TO_VALUES = { "OK": 1, "FINISHED": 2, } class APIVersion: """ Attributes: - major """ thrift_spec = ( None, # 0 (1, TType.I32, 'major', None, None, ), # 1 ) def __init__(self, major=None,): self.major = major def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I32: self.major = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('APIVersion') if self.major is not None: oprot.writeFieldBegin('major', TType.I32, 1) oprot.writeI32(self.major) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): if self.major is None: raise TProtocol.TProtocolException(message='Required field major is unset!') return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.major) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class Identity: """ Attributes: - role - user """ thrift_spec = ( None, # 0 (1, TType.STRING, 'role', None, None, ), # 1 (2, TType.STRING, 'user', None, None, ), # 2 ) def __init__(self, role=None, user=None,): self.role = role self.user = user def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.role = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.user = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Identity') if self.role is not None: oprot.writeFieldBegin('role', TType.STRING, 1) oprot.writeString(self.role) oprot.writeFieldEnd() if self.user is not None: oprot.writeFieldBegin('user', TType.STRING, 2) oprot.writeString(self.user) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.role) value = (value * 31) ^ hash(self.user) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class SessionKey: """ Attributes: - mechanism: The name of the authentication mechanism, which instructs the server how to interpret the data field. - data: A blob of data that the server may use for authentication. """ thrift_spec = ( None, # 0 None, # 1 None, # 2 None, # 3 (4, TType.STRING, 'mechanism', None, None, ), # 4 (5, TType.STRING, 'data', None, None, ), # 5 ) def __init__(self, mechanism=None, data=None,): self.mechanism = mechanism self.data = data def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 4: if ftype == TType.STRING: self.mechanism = iprot.readString() else: iprot.skip(ftype) elif fid == 5: if ftype == TType.STRING: self.data = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('SessionKey') if self.mechanism is not None: oprot.writeFieldBegin('mechanism', TType.STRING, 4) oprot.writeString(self.mechanism) oprot.writeFieldEnd() if self.data is not None: oprot.writeFieldBegin('data', TType.STRING, 5) oprot.writeString(self.data) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.mechanism) value = (value * 31) ^ hash(self.data) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class ResourceAggregate: """ Attributes: - numCpus: Number of CPU cores allotted. - ramMb: Megabytes of RAM allotted. - diskMb: Megabytes of disk space allotted. """ thrift_spec = ( None, # 0 (1, TType.DOUBLE, 'numCpus', None, None, ), # 1 (2, TType.I64, 'ramMb', None, None, ), # 2 (3, TType.I64, 'diskMb', None, None, ), # 3 ) def __init__(self, numCpus=None, ramMb=None, diskMb=None,): self.numCpus = numCpus self.ramMb = ramMb self.diskMb = diskMb def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.DOUBLE: self.numCpus = iprot.readDouble() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I64: self.ramMb = iprot.readI64() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I64: self.diskMb = iprot.readI64() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('ResourceAggregate') if self.numCpus is not None: oprot.writeFieldBegin('numCpus', TType.DOUBLE, 1) oprot.writeDouble(self.numCpus) oprot.writeFieldEnd() if self.ramMb is not None: oprot.writeFieldBegin('ramMb', TType.I64, 2) oprot.writeI64(self.ramMb) oprot.writeFieldEnd() if self.diskMb is not None: oprot.writeFieldBegin('diskMb', TType.I64, 3) oprot.writeI64(self.diskMb) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.numCpus) value = (value * 31) ^ hash(self.ramMb) value = (value * 31) ^ hash(self.diskMb) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class Attribute: """ A single host attribute. Attributes: - name - values """ thrift_spec = ( None, # 0 (1, TType.STRING, 'name', None, None, ), # 1 (2, TType.SET, 'values', (TType.STRING,None), None, ), # 2 ) def __init__(self, name=None, values=None,): self.name = name self.values = values def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.name = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.SET: self.values = set() (_etype3, _size0) = iprot.readSetBegin() for _i4 in range(_size0): _elem5 = iprot.readString() self.values.add(_elem5) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Attribute') if self.name is not None: oprot.writeFieldBegin('name', TType.STRING, 1) oprot.writeString(self.name) oprot.writeFieldEnd() if self.values is not None: oprot.writeFieldBegin('values', TType.SET, 2) oprot.writeSetBegin(TType.STRING, len(self.values)) for iter6 in self.values: oprot.writeString(iter6) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.name) value = (value * 31) ^ hash(self.values) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class HostAttributes: """ The attributes assigned to a host. Attributes: - host - attributes - mode - slaveId """ thrift_spec = ( None, # 0 (1, TType.STRING, 'host', None, None, ), # 1 (2, TType.SET, 'attributes', (TType.STRUCT,(Attribute, Attribute.thrift_spec)), None, ), # 2 (3, TType.I32, 'mode', None, None, ), # 3 (4, TType.STRING, 'slaveId', None, None, ), # 4 ) def __init__(self, host=None, attributes=None, mode=None, slaveId=None,): self.host = host self.attributes = attributes self.mode = mode self.slaveId = slaveId def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.host = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.SET: self.attributes = set() (_etype10, _size7) = iprot.readSetBegin() for _i11 in range(_size7): _elem12 = Attribute() _elem12.read(iprot) self.attributes.add(_elem12) iprot.readSetEnd() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I32: self.mode = iprot.readI32() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.STRING: self.slaveId = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('HostAttributes') if self.host is not None: oprot.writeFieldBegin('host', TType.STRING, 1) oprot.writeString(self.host) oprot.writeFieldEnd() if self.attributes is not None: oprot.writeFieldBegin('attributes', TType.SET, 2) oprot.writeSetBegin(TType.STRUCT, len(self.attributes)) for iter13 in self.attributes: iter13.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() if self.mode is not None: oprot.writeFieldBegin('mode', TType.I32, 3) oprot.writeI32(self.mode) oprot.writeFieldEnd() if self.slaveId is not None: oprot.writeFieldBegin('slaveId', TType.STRING, 4) oprot.writeString(self.slaveId) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.host) value = (value * 31) ^ hash(self.attributes) value = (value * 31) ^ hash(self.mode) value = (value * 31) ^ hash(self.slaveId) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class ValueConstraint: """ A constraint that specifies an explicit set of values, at least one of which must be present on a host for a task to be scheduled there. Attributes: - negated: If true, treat this as a 'not' - to avoid specific values. - values """ thrift_spec = ( None, # 0 (1, TType.BOOL, 'negated', None, None, ), # 1 (2, TType.SET, 'values', (TType.STRING,None), None, ), # 2 ) def __init__(self, negated=None, values=None,): self.negated = negated self.values = values def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.BOOL: self.negated = iprot.readBool() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.SET: self.values = set() (_etype17, _size14) = iprot.readSetBegin() for _i18 in range(_size14): _elem19 = iprot.readString() self.values.add(_elem19) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('ValueConstraint') if self.negated is not None: oprot.writeFieldBegin('negated', TType.BOOL, 1) oprot.writeBool(self.negated) oprot.writeFieldEnd() if self.values is not None: oprot.writeFieldBegin('values', TType.SET, 2) oprot.writeSetBegin(TType.STRING, len(self.values)) for iter20 in self.values: oprot.writeString(iter20) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.negated) value = (value * 31) ^ hash(self.values) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class LimitConstraint: """ A constraint the specifies the maximum number of active tasks on a host with a matching attribute that may be scheduled simultaneously. Attributes: - limit """ thrift_spec = ( None, # 0 (1, TType.I32, 'limit', None, None, ), # 1 ) def __init__(self, limit=None,): self.limit = limit def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I32: self.limit = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('LimitConstraint') if self.limit is not None: oprot.writeFieldBegin('limit', TType.I32, 1) oprot.writeI32(self.limit) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.limit) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class TaskConstraint: """ Types of constraints that may be applied to a task. Attributes: - value - limit """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'value', (ValueConstraint, ValueConstraint.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'limit', (LimitConstraint, LimitConstraint.thrift_spec), None, ), # 2 ) def __init__(self, value=None, limit=None,): self.value = value self.limit = limit def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.value = ValueConstraint() self.value.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.limit = LimitConstraint() self.limit.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('TaskConstraint') if self.value is not None: oprot.writeFieldBegin('value', TType.STRUCT, 1) self.value.write(oprot) oprot.writeFieldEnd() if self.limit is not None: oprot.writeFieldBegin('limit', TType.STRUCT, 2) self.limit.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.value) value = (value * 31) ^ hash(self.limit) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class Constraint: """ A constraint that defines whether a task may be scheduled on a host. Attributes: - name: Mesos slave attribute that the constraint is matched against. - constraint """ thrift_spec = ( None, # 0 (1, TType.STRING, 'name', None, None, ), # 1 (2, TType.STRUCT, 'constraint', (TaskConstraint, TaskConstraint.thrift_spec), None, ), # 2 ) def __init__(self, name=None, constraint=None,): self.name = name self.constraint = constraint def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.name = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.constraint = TaskConstraint() self.constraint.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Constraint') if self.name is not None: oprot.writeFieldBegin('name', TType.STRING, 1) oprot.writeString(self.name) oprot.writeFieldEnd() if self.constraint is not None: oprot.writeFieldBegin('constraint', TType.STRUCT, 2) self.constraint.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.name) value = (value * 31) ^ hash(self.constraint) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class Package: """ Attributes: - role - name - version """ thrift_spec = ( None, # 0 (1, TType.STRING, 'role', None, None, ), # 1 (2, TType.STRING, 'name', None, None, ), # 2 (3, TType.I32, 'version', None, None, ), # 3 ) def __init__(self, role=None, name=None, version=None,): self.role = role self.name = name self.version = version def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.role = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.name = iprot.readString() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I32: self.version = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Package') if self.role is not None: oprot.writeFieldBegin('role', TType.STRING, 1) oprot.writeString(self.role) oprot.writeFieldEnd() if self.name is not None: oprot.writeFieldBegin('name', TType.STRING, 2) oprot.writeString(self.name) oprot.writeFieldEnd() if self.version is not None: oprot.writeFieldBegin('version', TType.I32, 3) oprot.writeI32(self.version) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.role) value = (value * 31) ^ hash(self.name) value = (value * 31) ^ hash(self.version) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class Metadata: """ Arbitrary key-value metadata to be included into TaskConfig. Attributes: - key - value """ thrift_spec = ( None, # 0 (1, TType.STRING, 'key', None, None, ), # 1 (2, TType.STRING, 'value', None, None, ), # 2 ) def __init__(self, key=None, value=None,): self.key = key self.value = value def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.key = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.value = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Metadata') if self.key is not None: oprot.writeFieldBegin('key', TType.STRING, 1) oprot.writeString(self.key) oprot.writeFieldEnd() if self.value is not None: oprot.writeFieldBegin('value', TType.STRING, 2) oprot.writeString(self.value) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.key) value = (value * 31) ^ hash(self.value) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobKey: """ A unique identifier for a Job. Attributes: - role: User role (Unix service account), for example "mesos" - environment: Environment, for example "devel" - name: Name, for example "labrat" """ thrift_spec = ( None, # 0 (1, TType.STRING, 'role', None, None, ), # 1 (2, TType.STRING, 'environment', None, None, ), # 2 (3, TType.STRING, 'name', None, None, ), # 3 ) def __init__(self, role=None, environment=None, name=None,): self.role = role self.environment = environment self.name = name def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.role = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.environment = iprot.readString() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.name = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobKey') if self.role is not None: oprot.writeFieldBegin('role', TType.STRING, 1) oprot.writeString(self.role) oprot.writeFieldEnd() if self.environment is not None: oprot.writeFieldBegin('environment', TType.STRING, 2) oprot.writeString(self.environment) oprot.writeFieldEnd() if self.name is not None: oprot.writeFieldBegin('name', TType.STRING, 3) oprot.writeString(self.name) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.role) value = (value * 31) ^ hash(self.environment) value = (value * 31) ^ hash(self.name) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class LockKey: """ A unique lock key. Attributes: - job """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'job', (JobKey, JobKey.thrift_spec), None, ), # 1 ) def __init__(self, job=None,): self.job = job def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.job = JobKey() self.job.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('LockKey') if self.job is not None: oprot.writeFieldBegin('job', TType.STRUCT, 1) self.job.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.job) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class Lock: """ A generic lock struct to facilitate context specific resource/operation serialization. Attributes: - key: ID of the lock - unique per storage - token: UUID - facilitating soft lock authorization - user: Lock creator - timestampMs: Lock creation timestamp in milliseconds - message: Optional message to record with the lock """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'key', (LockKey, LockKey.thrift_spec), None, ), # 1 (2, TType.STRING, 'token', None, None, ), # 2 (3, TType.STRING, 'user', None, None, ), # 3 (4, TType.I64, 'timestampMs', None, None, ), # 4 (5, TType.STRING, 'message', None, None, ), # 5 ) def __init__(self, key=None, token=None, user=None, timestampMs=None, message=None,): self.key = key self.token = token self.user = user self.timestampMs = timestampMs self.message = message def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.key = LockKey() self.key.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.token = iprot.readString() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.user = iprot.readString() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.I64: self.timestampMs = iprot.readI64() else: iprot.skip(ftype) elif fid == 5: if ftype == TType.STRING: self.message = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Lock') if self.key is not None: oprot.writeFieldBegin('key', TType.STRUCT, 1) self.key.write(oprot) oprot.writeFieldEnd() if self.token is not None: oprot.writeFieldBegin('token', TType.STRING, 2) oprot.writeString(self.token) oprot.writeFieldEnd() if self.user is not None: oprot.writeFieldBegin('user', TType.STRING, 3) oprot.writeString(self.user) oprot.writeFieldEnd() if self.timestampMs is not None: oprot.writeFieldBegin('timestampMs', TType.I64, 4) oprot.writeI64(self.timestampMs) oprot.writeFieldEnd() if self.message is not None: oprot.writeFieldBegin('message', TType.STRING, 5) oprot.writeString(self.message) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.key) value = (value * 31) ^ hash(self.token) value = (value * 31) ^ hash(self.user) value = (value * 31) ^ hash(self.timestampMs) value = (value * 31) ^ hash(self.message) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class InstanceKey: """ A unique identifier for the active task within a job. Attributes: - jobKey: Key identifying the job. - instanceId: Unique instance ID for the active task in a job. """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'jobKey', (JobKey, JobKey.thrift_spec), None, ), # 1 (2, TType.I32, 'instanceId', None, None, ), # 2 ) def __init__(self, jobKey=None, instanceId=None,): self.jobKey = jobKey self.instanceId = instanceId def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.jobKey = JobKey() self.jobKey.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I32: self.instanceId = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('InstanceKey') if self.jobKey is not None: oprot.writeFieldBegin('jobKey', TType.STRUCT, 1) self.jobKey.write(oprot) oprot.writeFieldEnd() if self.instanceId is not None: oprot.writeFieldBegin('instanceId', TType.I32, 2) oprot.writeI32(self.instanceId) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.jobKey) value = (value * 31) ^ hash(self.instanceId) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class ExecutorConfig: """ Attributes: - name: Name identifying the Executor. - data: Executor configuration data. """ thrift_spec = ( None, # 0 (1, TType.STRING, 'name', None, None, ), # 1 (2, TType.STRING, 'data', None, None, ), # 2 ) def __init__(self, name=None, data=None,): self.name = name self.data = data def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.name = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.data = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('ExecutorConfig') if self.name is not None: oprot.writeFieldBegin('name', TType.STRING, 1) oprot.writeString(self.name) oprot.writeFieldEnd() if self.data is not None: oprot.writeFieldBegin('data', TType.STRING, 2) oprot.writeString(self.data) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.name) value = (value * 31) ^ hash(self.data) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class Volume: """ A volume mount point within a container Attributes: - containerPath: The path inside the container where the mount will be created. - hostPath: The path on the host that will serve as the source for the mount. - mode: The access mode """ thrift_spec = ( None, # 0 (1, TType.STRING, 'containerPath', None, None, ), # 1 (2, TType.STRING, 'hostPath', None, None, ), # 2 (3, TType.I32, 'mode', None, None, ), # 3 ) def __init__(self, containerPath=None, hostPath=None, mode=None,): self.containerPath = containerPath self.hostPath = hostPath self.mode = mode def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.containerPath = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.hostPath = iprot.readString() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I32: self.mode = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Volume') if self.containerPath is not None: oprot.writeFieldBegin('containerPath', TType.STRING, 1) oprot.writeString(self.containerPath) oprot.writeFieldEnd() if self.hostPath is not None: oprot.writeFieldBegin('hostPath', TType.STRING, 2) oprot.writeString(self.hostPath) oprot.writeFieldEnd() if self.mode is not None: oprot.writeFieldBegin('mode', TType.I32, 3) oprot.writeI32(self.mode) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.containerPath) value = (value * 31) ^ hash(self.hostPath) value = (value * 31) ^ hash(self.mode) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class MesosContainer: """ Describes a mesos container, this is the default """ thrift_spec = ( ) def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('MesosContainer') oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class DockerContainer: """ Describes a docker container Attributes: - image: The container image to be run """ thrift_spec = ( None, # 0 (1, TType.STRING, 'image', None, None, ), # 1 ) def __init__(self, image=None,): self.image = image def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.image = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('DockerContainer') if self.image is not None: oprot.writeFieldBegin('image', TType.STRING, 1) oprot.writeString(self.image) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.image) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class Container: """ Describes a container to be used in a task Attributes: - mesos - docker """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'mesos', (MesosContainer, MesosContainer.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'docker', (DockerContainer, DockerContainer.thrift_spec), None, ), # 2 ) def __init__(self, mesos=None, docker=None,): self.mesos = mesos self.docker = docker def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.mesos = MesosContainer() self.mesos.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.docker = DockerContainer() self.docker.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Container') if self.mesos is not None: oprot.writeFieldBegin('mesos', TType.STRUCT, 1) self.mesos.write(oprot) oprot.writeFieldEnd() if self.docker is not None: oprot.writeFieldBegin('docker', TType.STRUCT, 2) self.docker.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.mesos) value = (value * 31) ^ hash(self.docker) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class TaskConfig: """ Description of the tasks contained within a job. Attributes: - job: Job task belongs to. - owner: contains the role component of JobKey - environment: contains the environment component of JobKey - jobName: contains the name component of JobKey - isService - numCpus - ramMb - diskMb - priority - maxTaskFailures - production: Whether this is a production task, which can preempt. - constraints - requestedPorts: a list of named ports this task requests - container: the container the task should use to execute - taskLinks: Custom links to include when displaying this task on the scheduler dashboard. Keys are anchor text, values are URLs. Wildcards are supported for dynamic link crafting based on host, ports, instance, etc. - contactEmail - executorConfig: Executor configuration - metadata: Used to display additional details in the UI. """ thrift_spec = ( None, # 0 None, # 1 None, # 2 (3, TType.STRING, 'jobName', None, None, ), # 3 None, # 4 None, # 5 None, # 6 (7, TType.BOOL, 'isService', None, None, ), # 7 (8, TType.DOUBLE, 'numCpus', None, None, ), # 8 (9, TType.I64, 'ramMb', None, None, ), # 9 (10, TType.I64, 'diskMb', None, None, ), # 10 (11, TType.I32, 'priority', None, None, ), # 11 None, # 12 (13, TType.I32, 'maxTaskFailures', None, None, ), # 13 None, # 14 None, # 15 None, # 16 (17, TType.STRUCT, 'owner', (Identity, Identity.thrift_spec), None, ), # 17 (18, TType.BOOL, 'production', None, None, ), # 18 None, # 19 (20, TType.SET, 'constraints', (TType.STRUCT,(Constraint, Constraint.thrift_spec)), None, ), # 20 (21, TType.SET, 'requestedPorts', (TType.STRING,None), None, ), # 21 (22, TType.MAP, 'taskLinks', (TType.STRING,None,TType.STRING,None), None, ), # 22 (23, TType.STRING, 'contactEmail', None, None, ), # 23 None, # 24 (25, TType.STRUCT, 'executorConfig', (ExecutorConfig, ExecutorConfig.thrift_spec), None, ), # 25 (26, TType.STRING, 'environment', None, None, ), # 26 (27, TType.SET, 'metadata', (TType.STRUCT,(Metadata, Metadata.thrift_spec)), None, ), # 27 (28, TType.STRUCT, 'job', (JobKey, JobKey.thrift_spec), None, ), # 28 (29, TType.STRUCT, 'container', (Container, Container.thrift_spec), Container(**{ "mesos" : MesosContainer(**{ }), }), ), # 29 ) def __init__(self, job=None, owner=None, environment=None, jobName=None, isService=None, numCpus=None, ramMb=None, diskMb=None, priority=None, maxTaskFailures=None, production=None, constraints=None, requestedPorts=None, container=thrift_spec[29][4], taskLinks=None, contactEmail=None, executorConfig=None, metadata=None,): self.job = job self.owner = owner self.environment = environment self.jobName = jobName self.isService = isService self.numCpus = numCpus self.ramMb = ramMb self.diskMb = diskMb self.priority = priority self.maxTaskFailures = maxTaskFailures self.production = production self.constraints = constraints self.requestedPorts = requestedPorts if container is self.thrift_spec[29][4]: container = Container(**{ "mesos" : MesosContainer(**{ }), }) self.container = container self.taskLinks = taskLinks self.contactEmail = contactEmail self.executorConfig = executorConfig self.metadata = metadata def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 28: if ftype == TType.STRUCT: self.job = JobKey() self.job.read(iprot) else: iprot.skip(ftype) elif fid == 17: if ftype == TType.STRUCT: self.owner = Identity() self.owner.read(iprot) else: iprot.skip(ftype) elif fid == 26: if ftype == TType.STRING: self.environment = iprot.readString() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.jobName = iprot.readString() else: iprot.skip(ftype) elif fid == 7: if ftype == TType.BOOL: self.isService = iprot.readBool() else: iprot.skip(ftype) elif fid == 8: if ftype == TType.DOUBLE: self.numCpus = iprot.readDouble() else: iprot.skip(ftype) elif fid == 9: if ftype == TType.I64: self.ramMb = iprot.readI64() else: iprot.skip(ftype) elif fid == 10: if ftype == TType.I64: self.diskMb = iprot.readI64() else: iprot.skip(ftype) elif fid == 11: if ftype == TType.I32: self.priority = iprot.readI32() else: iprot.skip(ftype) elif fid == 13: if ftype == TType.I32: self.maxTaskFailures = iprot.readI32() else: iprot.skip(ftype) elif fid == 18: if ftype == TType.BOOL: self.production = iprot.readBool() else: iprot.skip(ftype) elif fid == 20: if ftype == TType.SET: self.constraints = set() (_etype24, _size21) = iprot.readSetBegin() for _i25 in range(_size21): _elem26 = Constraint() _elem26.read(iprot) self.constraints.add(_elem26) iprot.readSetEnd() else: iprot.skip(ftype) elif fid == 21: if ftype == TType.SET: self.requestedPorts = set() (_etype30, _size27) = iprot.readSetBegin() for _i31 in range(_size27): _elem32 = iprot.readString() self.requestedPorts.add(_elem32) iprot.readSetEnd() else: iprot.skip(ftype) elif fid == 29: if ftype == TType.STRUCT: self.container = Container() self.container.read(iprot) else: iprot.skip(ftype) elif fid == 22: if ftype == TType.MAP: self.taskLinks = {} (_ktype34, _vtype35, _size33 ) = iprot.readMapBegin() for _i37 in range(_size33): _key38 = iprot.readString() _val39 = iprot.readString() self.taskLinks[_key38] = _val39 iprot.readMapEnd() else: iprot.skip(ftype) elif fid == 23: if ftype == TType.STRING: self.contactEmail = iprot.readString() else: iprot.skip(ftype) elif fid == 25: if ftype == TType.STRUCT: self.executorConfig = ExecutorConfig() self.executorConfig.read(iprot) else: iprot.skip(ftype) elif fid == 27: if ftype == TType.SET: self.metadata = set() (_etype43, _size40) = iprot.readSetBegin() for _i44 in range(_size40): _elem45 = Metadata() _elem45.read(iprot) self.metadata.add(_elem45) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('TaskConfig') if self.jobName is not None: oprot.writeFieldBegin('jobName', TType.STRING, 3) oprot.writeString(self.jobName) oprot.writeFieldEnd() if self.isService is not None: oprot.writeFieldBegin('isService', TType.BOOL, 7) oprot.writeBool(self.isService) oprot.writeFieldEnd() if self.numCpus is not None: oprot.writeFieldBegin('numCpus', TType.DOUBLE, 8) oprot.writeDouble(self.numCpus) oprot.writeFieldEnd() if self.ramMb is not None: oprot.writeFieldBegin('ramMb', TType.I64, 9) oprot.writeI64(self.ramMb) oprot.writeFieldEnd() if self.diskMb is not None: oprot.writeFieldBegin('diskMb', TType.I64, 10) oprot.writeI64(self.diskMb) oprot.writeFieldEnd() if self.priority is not None: oprot.writeFieldBegin('priority', TType.I32, 11) oprot.writeI32(self.priority) oprot.writeFieldEnd() if self.maxTaskFailures is not None: oprot.writeFieldBegin('maxTaskFailures', TType.I32, 13) oprot.writeI32(self.maxTaskFailures) oprot.writeFieldEnd() if self.owner is not None: oprot.writeFieldBegin('owner', TType.STRUCT, 17) self.owner.write(oprot) oprot.writeFieldEnd() if self.production is not None: oprot.writeFieldBegin('production', TType.BOOL, 18) oprot.writeBool(self.production) oprot.writeFieldEnd() if self.constraints is not None: oprot.writeFieldBegin('constraints', TType.SET, 20) oprot.writeSetBegin(TType.STRUCT, len(self.constraints)) for iter46 in self.constraints: iter46.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() if self.requestedPorts is not None: oprot.writeFieldBegin('requestedPorts', TType.SET, 21) oprot.writeSetBegin(TType.STRING, len(self.requestedPorts)) for iter47 in self.requestedPorts: oprot.writeString(iter47) oprot.writeSetEnd() oprot.writeFieldEnd() if self.taskLinks is not None: oprot.writeFieldBegin('taskLinks', TType.MAP, 22) oprot.writeMapBegin(TType.STRING, TType.STRING, len(self.taskLinks)) for kiter48,viter49 in self.taskLinks.items(): oprot.writeString(kiter48) oprot.writeString(viter49) oprot.writeMapEnd() oprot.writeFieldEnd() if self.contactEmail is not None: oprot.writeFieldBegin('contactEmail', TType.STRING, 23) oprot.writeString(self.contactEmail) oprot.writeFieldEnd() if self.executorConfig is not None: oprot.writeFieldBegin('executorConfig', TType.STRUCT, 25) self.executorConfig.write(oprot) oprot.writeFieldEnd() if self.environment is not None: oprot.writeFieldBegin('environment', TType.STRING, 26) oprot.writeString(self.environment) oprot.writeFieldEnd() if self.metadata is not None: oprot.writeFieldBegin('metadata', TType.SET, 27) oprot.writeSetBegin(TType.STRUCT, len(self.metadata)) for iter50 in self.metadata: iter50.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() if self.job is not None: oprot.writeFieldBegin('job', TType.STRUCT, 28) self.job.write(oprot) oprot.writeFieldEnd() if self.container is not None: oprot.writeFieldBegin('container', TType.STRUCT, 29) self.container.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.job) value = (value * 31) ^ hash(self.owner) value = (value * 31) ^ hash(self.environment) value = (value * 31) ^ hash(self.jobName) value = (value * 31) ^ hash(self.isService) value = (value * 31) ^ hash(self.numCpus) value = (value * 31) ^ hash(self.ramMb) value = (value * 31) ^ hash(self.diskMb) value = (value * 31) ^ hash(self.priority) value = (value * 31) ^ hash(self.maxTaskFailures) value = (value * 31) ^ hash(self.production) value = (value * 31) ^ hash(self.constraints) value = (value * 31) ^ hash(self.requestedPorts) value = (value * 31) ^ hash(self.container) value = (value * 31) ^ hash(self.taskLinks) value = (value * 31) ^ hash(self.contactEmail) value = (value * 31) ^ hash(self.executorConfig) value = (value * 31) ^ hash(self.metadata) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobConfiguration: """ Description of an Aurora job. One task will be scheduled for each instance within the job. Attributes: - key: Key for this job. If not specified name, owner.role, and a reasonable default environment are used to construct it server-side. - owner: Owner of this job. - cronSchedule: If present, the job will be handled as a cron job with this crontab-syntax schedule. - cronCollisionPolicy: Collision policy to use when handling overlapping cron runs. Default is KILL_EXISTING. - taskConfig: Task configuration for this job. - instanceCount: The number of instances in the job. Generated instance IDs for tasks will be in the range [0, instances). """ thrift_spec = ( None, # 0 None, # 1 None, # 2 None, # 3 (4, TType.STRING, 'cronSchedule', None, None, ), # 4 (5, TType.I32, 'cronCollisionPolicy', None, None, ), # 5 (6, TType.STRUCT, 'taskConfig', (TaskConfig, TaskConfig.thrift_spec), None, ), # 6 (7, TType.STRUCT, 'owner', (Identity, Identity.thrift_spec), None, ), # 7 (8, TType.I32, 'instanceCount', None, None, ), # 8 (9, TType.STRUCT, 'key', (JobKey, JobKey.thrift_spec), None, ), # 9 ) def __init__(self, key=None, owner=None, cronSchedule=None, cronCollisionPolicy=None, taskConfig=None, instanceCount=None,): self.key = key self.owner = owner self.cronSchedule = cronSchedule self.cronCollisionPolicy = cronCollisionPolicy self.taskConfig = taskConfig self.instanceCount = instanceCount def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 9: if ftype == TType.STRUCT: self.key = JobKey() self.key.read(iprot) else: iprot.skip(ftype) elif fid == 7: if ftype == TType.STRUCT: self.owner = Identity() self.owner.read(iprot) else: iprot.skip(ftype) elif fid == 4: if ftype == TType.STRING: self.cronSchedule = iprot.readString() else: iprot.skip(ftype) elif fid == 5: if ftype == TType.I32: self.cronCollisionPolicy = iprot.readI32() else: iprot.skip(ftype) elif fid == 6: if ftype == TType.STRUCT: self.taskConfig = TaskConfig() self.taskConfig.read(iprot) else: iprot.skip(ftype) elif fid == 8: if ftype == TType.I32: self.instanceCount = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobConfiguration') if self.cronSchedule is not None: oprot.writeFieldBegin('cronSchedule', TType.STRING, 4) oprot.writeString(self.cronSchedule) oprot.writeFieldEnd() if self.cronCollisionPolicy is not None: oprot.writeFieldBegin('cronCollisionPolicy', TType.I32, 5) oprot.writeI32(self.cronCollisionPolicy) oprot.writeFieldEnd() if self.taskConfig is not None: oprot.writeFieldBegin('taskConfig', TType.STRUCT, 6) self.taskConfig.write(oprot) oprot.writeFieldEnd() if self.owner is not None: oprot.writeFieldBegin('owner', TType.STRUCT, 7) self.owner.write(oprot) oprot.writeFieldEnd() if self.instanceCount is not None: oprot.writeFieldBegin('instanceCount', TType.I32, 8) oprot.writeI32(self.instanceCount) oprot.writeFieldEnd() if self.key is not None: oprot.writeFieldBegin('key', TType.STRUCT, 9) self.key.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.key) value = (value * 31) ^ hash(self.owner) value = (value * 31) ^ hash(self.cronSchedule) value = (value * 31) ^ hash(self.cronCollisionPolicy) value = (value * 31) ^ hash(self.taskConfig) value = (value * 31) ^ hash(self.instanceCount) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobStats: """ Attributes: - activeTaskCount: Number of tasks in active state for this job. - finishedTaskCount: Number of tasks in finished state for this job. - failedTaskCount: Number of failed tasks for this job. - pendingTaskCount: Number of tasks in pending state for this job. """ thrift_spec = ( None, # 0 (1, TType.I32, 'activeTaskCount', None, None, ), # 1 (2, TType.I32, 'finishedTaskCount', None, None, ), # 2 (3, TType.I32, 'failedTaskCount', None, None, ), # 3 (4, TType.I32, 'pendingTaskCount', None, None, ), # 4 ) def __init__(self, activeTaskCount=None, finishedTaskCount=None, failedTaskCount=None, pendingTaskCount=None,): self.activeTaskCount = activeTaskCount self.finishedTaskCount = finishedTaskCount self.failedTaskCount = failedTaskCount self.pendingTaskCount = pendingTaskCount def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I32: self.activeTaskCount = iprot.readI32() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I32: self.finishedTaskCount = iprot.readI32() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I32: self.failedTaskCount = iprot.readI32() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.I32: self.pendingTaskCount = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobStats') if self.activeTaskCount is not None: oprot.writeFieldBegin('activeTaskCount', TType.I32, 1) oprot.writeI32(self.activeTaskCount) oprot.writeFieldEnd() if self.finishedTaskCount is not None: oprot.writeFieldBegin('finishedTaskCount', TType.I32, 2) oprot.writeI32(self.finishedTaskCount) oprot.writeFieldEnd() if self.failedTaskCount is not None: oprot.writeFieldBegin('failedTaskCount', TType.I32, 3) oprot.writeI32(self.failedTaskCount) oprot.writeFieldEnd() if self.pendingTaskCount is not None: oprot.writeFieldBegin('pendingTaskCount', TType.I32, 4) oprot.writeI32(self.pendingTaskCount) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.activeTaskCount) value = (value * 31) ^ hash(self.finishedTaskCount) value = (value * 31) ^ hash(self.failedTaskCount) value = (value * 31) ^ hash(self.pendingTaskCount) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobSummary: """ Attributes: - job - stats - nextCronRunMs: Timestamp of next cron run in ms since epoch, for a cron job """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'job', (JobConfiguration, JobConfiguration.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'stats', (JobStats, JobStats.thrift_spec), None, ), # 2 (3, TType.I64, 'nextCronRunMs', None, None, ), # 3 ) def __init__(self, job=None, stats=None, nextCronRunMs=None,): self.job = job self.stats = stats self.nextCronRunMs = nextCronRunMs def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.job = JobConfiguration() self.job.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.stats = JobStats() self.stats.read(iprot) else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I64: self.nextCronRunMs = iprot.readI64() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobSummary') if self.job is not None: oprot.writeFieldBegin('job', TType.STRUCT, 1) self.job.write(oprot) oprot.writeFieldEnd() if self.stats is not None: oprot.writeFieldBegin('stats', TType.STRUCT, 2) self.stats.write(oprot) oprot.writeFieldEnd() if self.nextCronRunMs is not None: oprot.writeFieldBegin('nextCronRunMs', TType.I64, 3) oprot.writeI64(self.nextCronRunMs) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.job) value = (value * 31) ^ hash(self.stats) value = (value * 31) ^ hash(self.nextCronRunMs) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class AddInstancesConfig: """ A request to add the following instances to an existing job. Used by addInstances. Attributes: - key - taskConfig - instanceIds """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'key', (JobKey, JobKey.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'taskConfig', (TaskConfig, TaskConfig.thrift_spec), None, ), # 2 (3, TType.SET, 'instanceIds', (TType.I32,None), None, ), # 3 ) def __init__(self, key=None, taskConfig=None, instanceIds=None,): self.key = key self.taskConfig = taskConfig self.instanceIds = instanceIds def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.key = JobKey() self.key.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.taskConfig = TaskConfig() self.taskConfig.read(iprot) else: iprot.skip(ftype) elif fid == 3: if ftype == TType.SET: self.instanceIds = set() (_etype54, _size51) = iprot.readSetBegin() for _i55 in range(_size51): _elem56 = iprot.readI32() self.instanceIds.add(_elem56) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('AddInstancesConfig') if self.key is not None: oprot.writeFieldBegin('key', TType.STRUCT, 1) self.key.write(oprot) oprot.writeFieldEnd() if self.taskConfig is not None: oprot.writeFieldBegin('taskConfig', TType.STRUCT, 2) self.taskConfig.write(oprot) oprot.writeFieldEnd() if self.instanceIds is not None: oprot.writeFieldBegin('instanceIds', TType.SET, 3) oprot.writeSetBegin(TType.I32, len(self.instanceIds)) for iter57 in self.instanceIds: oprot.writeI32(iter57) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.key) value = (value * 31) ^ hash(self.taskConfig) value = (value * 31) ^ hash(self.instanceIds) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class Range: """ Closed range of integers. Attributes: - first - last """ thrift_spec = ( None, # 0 (1, TType.I32, 'first', None, None, ), # 1 (2, TType.I32, 'last', None, None, ), # 2 ) def __init__(self, first=None, last=None,): self.first = first self.last = last def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I32: self.first = iprot.readI32() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I32: self.last = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Range') if self.first is not None: oprot.writeFieldBegin('first', TType.I32, 1) oprot.writeI32(self.first) oprot.writeFieldEnd() if self.last is not None: oprot.writeFieldBegin('last', TType.I32, 2) oprot.writeI32(self.last) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.first) value = (value * 31) ^ hash(self.last) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class ConfigGroup: """ Attributes: - config - instanceIds """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'config', (TaskConfig, TaskConfig.thrift_spec), None, ), # 1 (2, TType.SET, 'instanceIds', (TType.I32,None), None, ), # 2 ) def __init__(self, config=None, instanceIds=None,): self.config = config self.instanceIds = instanceIds def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.config = TaskConfig() self.config.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.SET: self.instanceIds = set() (_etype61, _size58) = iprot.readSetBegin() for _i62 in range(_size58): _elem63 = iprot.readI32() self.instanceIds.add(_elem63) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('ConfigGroup') if self.config is not None: oprot.writeFieldBegin('config', TType.STRUCT, 1) self.config.write(oprot) oprot.writeFieldEnd() if self.instanceIds is not None: oprot.writeFieldBegin('instanceIds', TType.SET, 2) oprot.writeSetBegin(TType.I32, len(self.instanceIds)) for iter64 in self.instanceIds: oprot.writeI32(iter64) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.config) value = (value * 31) ^ hash(self.instanceIds) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class ConfigSummary: """ Attributes: - key - groups """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'key', (JobKey, JobKey.thrift_spec), None, ), # 1 (2, TType.SET, 'groups', (TType.STRUCT,(ConfigGroup, ConfigGroup.thrift_spec)), None, ), # 2 ) def __init__(self, key=None, groups=None,): self.key = key self.groups = groups def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.key = JobKey() self.key.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.SET: self.groups = set() (_etype68, _size65) = iprot.readSetBegin() for _i69 in range(_size65): _elem70 = ConfigGroup() _elem70.read(iprot) self.groups.add(_elem70) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('ConfigSummary') if self.key is not None: oprot.writeFieldBegin('key', TType.STRUCT, 1) self.key.write(oprot) oprot.writeFieldEnd() if self.groups is not None: oprot.writeFieldBegin('groups', TType.SET, 2) oprot.writeSetBegin(TType.STRUCT, len(self.groups)) for iter71 in self.groups: iter71.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.key) value = (value * 31) ^ hash(self.groups) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class PopulateJobResult: """ Attributes: - populatedDEPRECATED - taskConfig """ thrift_spec = ( None, # 0 (1, TType.SET, 'populatedDEPRECATED', (TType.STRUCT,(TaskConfig, TaskConfig.thrift_spec)), None, ), # 1 (2, TType.STRUCT, 'taskConfig', (TaskConfig, TaskConfig.thrift_spec), None, ), # 2 ) def __init__(self, populatedDEPRECATED=None, taskConfig=None,): self.populatedDEPRECATED = populatedDEPRECATED self.taskConfig = taskConfig def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.populatedDEPRECATED = set() (_etype75, _size72) = iprot.readSetBegin() for _i76 in range(_size72): _elem77 = TaskConfig() _elem77.read(iprot) self.populatedDEPRECATED.add(_elem77) iprot.readSetEnd() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.taskConfig = TaskConfig() self.taskConfig.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('PopulateJobResult') if self.populatedDEPRECATED is not None: oprot.writeFieldBegin('populatedDEPRECATED', TType.SET, 1) oprot.writeSetBegin(TType.STRUCT, len(self.populatedDEPRECATED)) for iter78 in self.populatedDEPRECATED: iter78.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() if self.taskConfig is not None: oprot.writeFieldBegin('taskConfig', TType.STRUCT, 2) self.taskConfig.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.populatedDEPRECATED) value = (value * 31) ^ hash(self.taskConfig) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class GetQuotaResult: """ Attributes: - quota: Total allocated resource quota. - prodConsumption: Resources consumed by production jobs. - nonProdConsumption: Resources consumed by non-production jobs. """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'quota', (ResourceAggregate, ResourceAggregate.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'prodConsumption', (ResourceAggregate, ResourceAggregate.thrift_spec), None, ), # 2 (3, TType.STRUCT, 'nonProdConsumption', (ResourceAggregate, ResourceAggregate.thrift_spec), None, ), # 3 ) def __init__(self, quota=None, prodConsumption=None, nonProdConsumption=None,): self.quota = quota self.prodConsumption = prodConsumption self.nonProdConsumption = nonProdConsumption def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.quota = ResourceAggregate() self.quota.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.prodConsumption = ResourceAggregate() self.prodConsumption.read(iprot) else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRUCT: self.nonProdConsumption = ResourceAggregate() self.nonProdConsumption.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('GetQuotaResult') if self.quota is not None: oprot.writeFieldBegin('quota', TType.STRUCT, 1) self.quota.write(oprot) oprot.writeFieldEnd() if self.prodConsumption is not None: oprot.writeFieldBegin('prodConsumption', TType.STRUCT, 2) self.prodConsumption.write(oprot) oprot.writeFieldEnd() if self.nonProdConsumption is not None: oprot.writeFieldBegin('nonProdConsumption', TType.STRUCT, 3) self.nonProdConsumption.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.quota) value = (value * 31) ^ hash(self.prodConsumption) value = (value * 31) ^ hash(self.nonProdConsumption) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class AcquireLockResult: """ Wraps return results for the acquireLock API. Attributes: - lock: Acquired Lock instance. """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'lock', (Lock, Lock.thrift_spec), None, ), # 1 ) def __init__(self, lock=None,): self.lock = lock def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.lock = Lock() self.lock.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('AcquireLockResult') if self.lock is not None: oprot.writeFieldBegin('lock', TType.STRUCT, 1) self.lock.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.lock) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class TaskEvent: """ Event marking a state transition within a task's lifecycle. Attributes: - timestamp: Epoch timestamp in milliseconds. - status: New status of the task. - message: Audit message that explains why a transition occurred. - scheduler: Hostname of the scheduler machine that performed the event. """ thrift_spec = ( None, # 0 (1, TType.I64, 'timestamp', None, None, ), # 1 (2, TType.I32, 'status', None, None, ), # 2 (3, TType.STRING, 'message', None, None, ), # 3 (4, TType.STRING, 'scheduler', None, None, ), # 4 ) def __init__(self, timestamp=None, status=None, message=None, scheduler=None,): self.timestamp = timestamp self.status = status self.message = message self.scheduler = scheduler def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I64: self.timestamp = iprot.readI64() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I32: self.status = iprot.readI32() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.message = iprot.readString() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.STRING: self.scheduler = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('TaskEvent') if self.timestamp is not None: oprot.writeFieldBegin('timestamp', TType.I64, 1) oprot.writeI64(self.timestamp) oprot.writeFieldEnd() if self.status is not None: oprot.writeFieldBegin('status', TType.I32, 2) oprot.writeI32(self.status) oprot.writeFieldEnd() if self.message is not None: oprot.writeFieldBegin('message', TType.STRING, 3) oprot.writeString(self.message) oprot.writeFieldEnd() if self.scheduler is not None: oprot.writeFieldBegin('scheduler', TType.STRING, 4) oprot.writeString(self.scheduler) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.timestamp) value = (value * 31) ^ hash(self.status) value = (value * 31) ^ hash(self.message) value = (value * 31) ^ hash(self.scheduler) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class AssignedTask: """ A task assignment that is provided to an executor. Attributes: - taskId: The mesos task ID for this task. Guaranteed to be globally unique - slaveId: The mesos slave ID that this task has been assigned to. This will not be populated for a PENDING task. - slaveHost: The name of the machine that this task has been assigned to. This will not be populated for a PENDING task. - task: Information about how to run this task. - assignedPorts: Ports reserved on the machine while this task is running. - instanceId: The instance ID assigned to this task. Instance IDs must be unique and contiguous within a job, and will be in the range [0, N-1] (inclusive) for a job that has N instances. """ thrift_spec = ( None, # 0 (1, TType.STRING, 'taskId', None, None, ), # 1 (2, TType.STRING, 'slaveId', None, None, ), # 2 (3, TType.STRING, 'slaveHost', None, None, ), # 3 (4, TType.STRUCT, 'task', (TaskConfig, TaskConfig.thrift_spec), None, ), # 4 (5, TType.MAP, 'assignedPorts', (TType.STRING,None,TType.I32,None), None, ), # 5 (6, TType.I32, 'instanceId', None, None, ), # 6 ) def __init__(self, taskId=None, slaveId=None, slaveHost=None, task=None, assignedPorts=None, instanceId=None,): self.taskId = taskId self.slaveId = slaveId self.slaveHost = slaveHost self.task = task self.assignedPorts = assignedPorts self.instanceId = instanceId def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.taskId = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.slaveId = iprot.readString() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.slaveHost = iprot.readString() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.STRUCT: self.task = TaskConfig() self.task.read(iprot) else: iprot.skip(ftype) elif fid == 5: if ftype == TType.MAP: self.assignedPorts = {} (_ktype80, _vtype81, _size79 ) = iprot.readMapBegin() for _i83 in range(_size79): _key84 = iprot.readString() _val85 = iprot.readI32() self.assignedPorts[_key84] = _val85 iprot.readMapEnd() else: iprot.skip(ftype) elif fid == 6: if ftype == TType.I32: self.instanceId = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('AssignedTask') if self.taskId is not None: oprot.writeFieldBegin('taskId', TType.STRING, 1) oprot.writeString(self.taskId) oprot.writeFieldEnd() if self.slaveId is not None: oprot.writeFieldBegin('slaveId', TType.STRING, 2) oprot.writeString(self.slaveId) oprot.writeFieldEnd() if self.slaveHost is not None: oprot.writeFieldBegin('slaveHost', TType.STRING, 3) oprot.writeString(self.slaveHost) oprot.writeFieldEnd() if self.task is not None: oprot.writeFieldBegin('task', TType.STRUCT, 4) self.task.write(oprot) oprot.writeFieldEnd() if self.assignedPorts is not None: oprot.writeFieldBegin('assignedPorts', TType.MAP, 5) oprot.writeMapBegin(TType.STRING, TType.I32, len(self.assignedPorts)) for kiter86,viter87 in self.assignedPorts.items(): oprot.writeString(kiter86) oprot.writeI32(viter87) oprot.writeMapEnd() oprot.writeFieldEnd() if self.instanceId is not None: oprot.writeFieldBegin('instanceId', TType.I32, 6) oprot.writeI32(self.instanceId) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.taskId) value = (value * 31) ^ hash(self.slaveId) value = (value * 31) ^ hash(self.slaveHost) value = (value * 31) ^ hash(self.task) value = (value * 31) ^ hash(self.assignedPorts) value = (value * 31) ^ hash(self.instanceId) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class ScheduledTask: """ A task that has been scheduled. Attributes: - assignedTask: The task that was scheduled. - status: The current status of this task. - failureCount: The number of failures that this task has accumulated over the multi-generational history of this task. - taskEvents: State change history for this task. - ancestorId: The task ID of the previous generation of this task. When a task is automatically rescheduled, a copy of the task is created and ancestor ID of the previous task's task ID. """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'assignedTask', (AssignedTask, AssignedTask.thrift_spec), None, ), # 1 (2, TType.I32, 'status', None, None, ), # 2 (3, TType.I32, 'failureCount', None, None, ), # 3 (4, TType.LIST, 'taskEvents', (TType.STRUCT,(TaskEvent, TaskEvent.thrift_spec)), None, ), # 4 (5, TType.STRING, 'ancestorId', None, None, ), # 5 ) def __init__(self, assignedTask=None, status=None, failureCount=None, taskEvents=None, ancestorId=None,): self.assignedTask = assignedTask self.status = status self.failureCount = failureCount self.taskEvents = taskEvents self.ancestorId = ancestorId def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.assignedTask = AssignedTask() self.assignedTask.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I32: self.status = iprot.readI32() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I32: self.failureCount = iprot.readI32() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.LIST: self.taskEvents = [] (_etype91, _size88) = iprot.readListBegin() for _i92 in range(_size88): _elem93 = TaskEvent() _elem93.read(iprot) self.taskEvents.append(_elem93) iprot.readListEnd() else: iprot.skip(ftype) elif fid == 5: if ftype == TType.STRING: self.ancestorId = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('ScheduledTask') if self.assignedTask is not None: oprot.writeFieldBegin('assignedTask', TType.STRUCT, 1) self.assignedTask.write(oprot) oprot.writeFieldEnd() if self.status is not None: oprot.writeFieldBegin('status', TType.I32, 2) oprot.writeI32(self.status) oprot.writeFieldEnd() if self.failureCount is not None: oprot.writeFieldBegin('failureCount', TType.I32, 3) oprot.writeI32(self.failureCount) oprot.writeFieldEnd() if self.taskEvents is not None: oprot.writeFieldBegin('taskEvents', TType.LIST, 4) oprot.writeListBegin(TType.STRUCT, len(self.taskEvents)) for iter94 in self.taskEvents: iter94.write(oprot) oprot.writeListEnd() oprot.writeFieldEnd() if self.ancestorId is not None: oprot.writeFieldBegin('ancestorId', TType.STRING, 5) oprot.writeString(self.ancestorId) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.assignedTask) value = (value * 31) ^ hash(self.status) value = (value * 31) ^ hash(self.failureCount) value = (value * 31) ^ hash(self.taskEvents) value = (value * 31) ^ hash(self.ancestorId) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class ScheduleStatusResult: """ Attributes: - tasks """ thrift_spec = ( None, # 0 (1, TType.LIST, 'tasks', (TType.STRUCT,(ScheduledTask, ScheduledTask.thrift_spec)), None, ), # 1 ) def __init__(self, tasks=None,): self.tasks = tasks def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.LIST: self.tasks = [] (_etype98, _size95) = iprot.readListBegin() for _i99 in range(_size95): _elem100 = ScheduledTask() _elem100.read(iprot) self.tasks.append(_elem100) iprot.readListEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('ScheduleStatusResult') if self.tasks is not None: oprot.writeFieldBegin('tasks', TType.LIST, 1) oprot.writeListBegin(TType.STRUCT, len(self.tasks)) for iter101 in self.tasks: iter101.write(oprot) oprot.writeListEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.tasks) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class GetJobsResult: """ Attributes: - configs """ thrift_spec = ( None, # 0 (1, TType.SET, 'configs', (TType.STRUCT,(JobConfiguration, JobConfiguration.thrift_spec)), None, ), # 1 ) def __init__(self, configs=None,): self.configs = configs def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.configs = set() (_etype105, _size102) = iprot.readSetBegin() for _i106 in range(_size102): _elem107 = JobConfiguration() _elem107.read(iprot) self.configs.add(_elem107) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('GetJobsResult') if self.configs is not None: oprot.writeFieldBegin('configs', TType.SET, 1) oprot.writeSetBegin(TType.STRUCT, len(self.configs)) for iter108 in self.configs: iter108.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.configs) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class TaskQuery: """ Contains a set of restrictions on matching tasks where all restrictions must be met (terms are AND'ed together). Attributes: - owner - role - environment - jobName - taskIds - statuses - instanceIds - slaveHosts - jobKeys - offset - limit """ thrift_spec = ( None, # 0 None, # 1 (2, TType.STRING, 'jobName', None, None, ), # 2 None, # 3 (4, TType.SET, 'taskIds', (TType.STRING,None), None, ), # 4 (5, TType.SET, 'statuses', (TType.I32,None), None, ), # 5 None, # 6 (7, TType.SET, 'instanceIds', (TType.I32,None), None, ), # 7 (8, TType.STRUCT, 'owner', (Identity, Identity.thrift_spec), None, ), # 8 (9, TType.STRING, 'environment', None, None, ), # 9 (10, TType.SET, 'slaveHosts', (TType.STRING,None), None, ), # 10 (11, TType.SET, 'jobKeys', (TType.STRUCT,(JobKey, JobKey.thrift_spec)), None, ), # 11 (12, TType.I32, 'offset', None, None, ), # 12 (13, TType.I32, 'limit', None, None, ), # 13 (14, TType.STRING, 'role', None, None, ), # 14 ) def __init__(self, owner=None, role=None, environment=None, jobName=None, taskIds=None, statuses=None, instanceIds=None, slaveHosts=None, jobKeys=None, offset=None, limit=None,): self.owner = owner self.role = role self.environment = environment self.jobName = jobName self.taskIds = taskIds self.statuses = statuses self.instanceIds = instanceIds self.slaveHosts = slaveHosts self.jobKeys = jobKeys self.offset = offset self.limit = limit def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 8: if ftype == TType.STRUCT: self.owner = Identity() self.owner.read(iprot) else: iprot.skip(ftype) elif fid == 14: if ftype == TType.STRING: self.role = iprot.readString() else: iprot.skip(ftype) elif fid == 9: if ftype == TType.STRING: self.environment = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.jobName = iprot.readString() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.SET: self.taskIds = set() (_etype112, _size109) = iprot.readSetBegin() for _i113 in range(_size109): _elem114 = iprot.readString() self.taskIds.add(_elem114) iprot.readSetEnd() else: iprot.skip(ftype) elif fid == 5: if ftype == TType.SET: self.statuses = set() (_etype118, _size115) = iprot.readSetBegin() for _i119 in range(_size115): _elem120 = iprot.readI32() self.statuses.add(_elem120) iprot.readSetEnd() else: iprot.skip(ftype) elif fid == 7: if ftype == TType.SET: self.instanceIds = set() (_etype124, _size121) = iprot.readSetBegin() for _i125 in range(_size121): _elem126 = iprot.readI32() self.instanceIds.add(_elem126) iprot.readSetEnd() else: iprot.skip(ftype) elif fid == 10: if ftype == TType.SET: self.slaveHosts = set() (_etype130, _size127) = iprot.readSetBegin() for _i131 in range(_size127): _elem132 = iprot.readString() self.slaveHosts.add(_elem132) iprot.readSetEnd() else: iprot.skip(ftype) elif fid == 11: if ftype == TType.SET: self.jobKeys = set() (_etype136, _size133) = iprot.readSetBegin() for _i137 in range(_size133): _elem138 = JobKey() _elem138.read(iprot) self.jobKeys.add(_elem138) iprot.readSetEnd() else: iprot.skip(ftype) elif fid == 12: if ftype == TType.I32: self.offset = iprot.readI32() else: iprot.skip(ftype) elif fid == 13: if ftype == TType.I32: self.limit = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('TaskQuery') if self.jobName is not None: oprot.writeFieldBegin('jobName', TType.STRING, 2) oprot.writeString(self.jobName) oprot.writeFieldEnd() if self.taskIds is not None: oprot.writeFieldBegin('taskIds', TType.SET, 4) oprot.writeSetBegin(TType.STRING, len(self.taskIds)) for iter139 in self.taskIds: oprot.writeString(iter139) oprot.writeSetEnd() oprot.writeFieldEnd() if self.statuses is not None: oprot.writeFieldBegin('statuses', TType.SET, 5) oprot.writeSetBegin(TType.I32, len(self.statuses)) for iter140 in self.statuses: oprot.writeI32(iter140) oprot.writeSetEnd() oprot.writeFieldEnd() if self.instanceIds is not None: oprot.writeFieldBegin('instanceIds', TType.SET, 7) oprot.writeSetBegin(TType.I32, len(self.instanceIds)) for iter141 in self.instanceIds: oprot.writeI32(iter141) oprot.writeSetEnd() oprot.writeFieldEnd() if self.owner is not None: oprot.writeFieldBegin('owner', TType.STRUCT, 8) self.owner.write(oprot) oprot.writeFieldEnd() if self.environment is not None: oprot.writeFieldBegin('environment', TType.STRING, 9) oprot.writeString(self.environment) oprot.writeFieldEnd() if self.slaveHosts is not None: oprot.writeFieldBegin('slaveHosts', TType.SET, 10) oprot.writeSetBegin(TType.STRING, len(self.slaveHosts)) for iter142 in self.slaveHosts: oprot.writeString(iter142) oprot.writeSetEnd() oprot.writeFieldEnd() if self.jobKeys is not None: oprot.writeFieldBegin('jobKeys', TType.SET, 11) oprot.writeSetBegin(TType.STRUCT, len(self.jobKeys)) for iter143 in self.jobKeys: iter143.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() if self.offset is not None: oprot.writeFieldBegin('offset', TType.I32, 12) oprot.writeI32(self.offset) oprot.writeFieldEnd() if self.limit is not None: oprot.writeFieldBegin('limit', TType.I32, 13) oprot.writeI32(self.limit) oprot.writeFieldEnd() if self.role is not None: oprot.writeFieldBegin('role', TType.STRING, 14) oprot.writeString(self.role) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.owner) value = (value * 31) ^ hash(self.role) value = (value * 31) ^ hash(self.environment) value = (value * 31) ^ hash(self.jobName) value = (value * 31) ^ hash(self.taskIds) value = (value * 31) ^ hash(self.statuses) value = (value * 31) ^ hash(self.instanceIds) value = (value * 31) ^ hash(self.slaveHosts) value = (value * 31) ^ hash(self.jobKeys) value = (value * 31) ^ hash(self.offset) value = (value * 31) ^ hash(self.limit) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class HostStatus: """ Attributes: - host - mode """ thrift_spec = ( None, # 0 (1, TType.STRING, 'host', None, None, ), # 1 (2, TType.I32, 'mode', None, None, ), # 2 ) def __init__(self, host=None, mode=None,): self.host = host self.mode = mode def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.host = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I32: self.mode = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('HostStatus') if self.host is not None: oprot.writeFieldBegin('host', TType.STRING, 1) oprot.writeString(self.host) oprot.writeFieldEnd() if self.mode is not None: oprot.writeFieldBegin('mode', TType.I32, 2) oprot.writeI32(self.mode) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.host) value = (value * 31) ^ hash(self.mode) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class RoleSummary: """ Attributes: - role - jobCount - cronJobCount """ thrift_spec = ( None, # 0 (1, TType.STRING, 'role', None, None, ), # 1 (2, TType.I32, 'jobCount', None, None, ), # 2 (3, TType.I32, 'cronJobCount', None, None, ), # 3 ) def __init__(self, role=None, jobCount=None, cronJobCount=None,): self.role = role self.jobCount = jobCount self.cronJobCount = cronJobCount def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.role = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I32: self.jobCount = iprot.readI32() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I32: self.cronJobCount = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('RoleSummary') if self.role is not None: oprot.writeFieldBegin('role', TType.STRING, 1) oprot.writeString(self.role) oprot.writeFieldEnd() if self.jobCount is not None: oprot.writeFieldBegin('jobCount', TType.I32, 2) oprot.writeI32(self.jobCount) oprot.writeFieldEnd() if self.cronJobCount is not None: oprot.writeFieldBegin('cronJobCount', TType.I32, 3) oprot.writeI32(self.cronJobCount) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.role) value = (value * 31) ^ hash(self.jobCount) value = (value * 31) ^ hash(self.cronJobCount) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class Hosts: """ Attributes: - hostNames """ thrift_spec = ( None, # 0 (1, TType.SET, 'hostNames', (TType.STRING,None), None, ), # 1 ) def __init__(self, hostNames=None,): self.hostNames = hostNames def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.hostNames = set() (_etype147, _size144) = iprot.readSetBegin() for _i148 in range(_size144): _elem149 = iprot.readString() self.hostNames.add(_elem149) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Hosts') if self.hostNames is not None: oprot.writeFieldBegin('hostNames', TType.SET, 1) oprot.writeSetBegin(TType.STRING, len(self.hostNames)) for iter150 in self.hostNames: oprot.writeString(iter150) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.hostNames) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class PendingReason: """ Attributes: - taskId - reason """ thrift_spec = ( None, # 0 (1, TType.STRING, 'taskId', None, None, ), # 1 (2, TType.STRING, 'reason', None, None, ), # 2 ) def __init__(self, taskId=None, reason=None,): self.taskId = taskId self.reason = reason def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.taskId = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.reason = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('PendingReason') if self.taskId is not None: oprot.writeFieldBegin('taskId', TType.STRING, 1) oprot.writeString(self.taskId) oprot.writeFieldEnd() if self.reason is not None: oprot.writeFieldBegin('reason', TType.STRING, 2) oprot.writeString(self.reason) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.taskId) value = (value * 31) ^ hash(self.reason) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobUpdateKey: """ Job update key. Attributes: - job: Job being updated - id: Update ID. """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'job', (JobKey, JobKey.thrift_spec), None, ), # 1 (2, TType.STRING, 'id', None, None, ), # 2 ) def __init__(self, job=None, id=None,): self.job = job self.id = id def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.job = JobKey() self.job.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.id = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobUpdateKey') if self.job is not None: oprot.writeFieldBegin('job', TType.STRUCT, 1) self.job.write(oprot) oprot.writeFieldEnd() if self.id is not None: oprot.writeFieldBegin('id', TType.STRING, 2) oprot.writeString(self.id) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.job) value = (value * 31) ^ hash(self.id) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobUpdateSettings: """ Job update thresholds and limits. Attributes: - updateGroupSize: Max number of instances being updated at any given moment. - maxPerInstanceFailures: Max number of instance failures to tolerate before marking instance as FAILED. - maxFailedInstances: Max number of FAILED instances to tolerate before terminating the update. - maxWaitToInstanceRunningMs: Max time to wait until an instance reaches RUNNING state. - minWaitInInstanceRunningMs: Min time to watch a RUNNING instance. - rollbackOnFailure: If true, enables failed update rollback. - updateOnlyTheseInstances: Instance IDs to act on. All instances will be affected if this is not set. - waitForBatchCompletion: If true, use updateGroupSize as strict batching boundaries, and avoid proceeding to another batch until the preceding batch finishes updating. - blockIfNoPulsesAfterMs: If set, requires external calls to pulseJobUpdate RPC within the specified rate for the update to make progress. If no pulses received within specified interval the update will block. A blocked update is unable to continue but retains its current status. It may only get unblocked by a fresh pulseJobUpdate call. """ thrift_spec = ( None, # 0 (1, TType.I32, 'updateGroupSize', None, None, ), # 1 (2, TType.I32, 'maxPerInstanceFailures', None, None, ), # 2 (3, TType.I32, 'maxFailedInstances', None, None, ), # 3 (4, TType.I32, 'maxWaitToInstanceRunningMs', None, None, ), # 4 (5, TType.I32, 'minWaitInInstanceRunningMs', None, None, ), # 5 (6, TType.BOOL, 'rollbackOnFailure', None, None, ), # 6 (7, TType.SET, 'updateOnlyTheseInstances', (TType.STRUCT,(Range, Range.thrift_spec)), None, ), # 7 (8, TType.BOOL, 'waitForBatchCompletion', None, None, ), # 8 (9, TType.I32, 'blockIfNoPulsesAfterMs', None, None, ), # 9 ) def __init__(self, updateGroupSize=None, maxPerInstanceFailures=None, maxFailedInstances=None, maxWaitToInstanceRunningMs=None, minWaitInInstanceRunningMs=None, rollbackOnFailure=None, updateOnlyTheseInstances=None, waitForBatchCompletion=None, blockIfNoPulsesAfterMs=None,): self.updateGroupSize = updateGroupSize self.maxPerInstanceFailures = maxPerInstanceFailures self.maxFailedInstances = maxFailedInstances self.maxWaitToInstanceRunningMs = maxWaitToInstanceRunningMs self.minWaitInInstanceRunningMs = minWaitInInstanceRunningMs self.rollbackOnFailure = rollbackOnFailure self.updateOnlyTheseInstances = updateOnlyTheseInstances self.waitForBatchCompletion = waitForBatchCompletion self.blockIfNoPulsesAfterMs = blockIfNoPulsesAfterMs def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I32: self.updateGroupSize = iprot.readI32() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I32: self.maxPerInstanceFailures = iprot.readI32() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I32: self.maxFailedInstances = iprot.readI32() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.I32: self.maxWaitToInstanceRunningMs = iprot.readI32() else: iprot.skip(ftype) elif fid == 5: if ftype == TType.I32: self.minWaitInInstanceRunningMs = iprot.readI32() else: iprot.skip(ftype) elif fid == 6: if ftype == TType.BOOL: self.rollbackOnFailure = iprot.readBool() else: iprot.skip(ftype) elif fid == 7: if ftype == TType.SET: self.updateOnlyTheseInstances = set() (_etype154, _size151) = iprot.readSetBegin() for _i155 in range(_size151): _elem156 = Range() _elem156.read(iprot) self.updateOnlyTheseInstances.add(_elem156) iprot.readSetEnd() else: iprot.skip(ftype) elif fid == 8: if ftype == TType.BOOL: self.waitForBatchCompletion = iprot.readBool() else: iprot.skip(ftype) elif fid == 9: if ftype == TType.I32: self.blockIfNoPulsesAfterMs = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobUpdateSettings') if self.updateGroupSize is not None: oprot.writeFieldBegin('updateGroupSize', TType.I32, 1) oprot.writeI32(self.updateGroupSize) oprot.writeFieldEnd() if self.maxPerInstanceFailures is not None: oprot.writeFieldBegin('maxPerInstanceFailures', TType.I32, 2) oprot.writeI32(self.maxPerInstanceFailures) oprot.writeFieldEnd() if self.maxFailedInstances is not None: oprot.writeFieldBegin('maxFailedInstances', TType.I32, 3) oprot.writeI32(self.maxFailedInstances) oprot.writeFieldEnd() if self.maxWaitToInstanceRunningMs is not None: oprot.writeFieldBegin('maxWaitToInstanceRunningMs', TType.I32, 4) oprot.writeI32(self.maxWaitToInstanceRunningMs) oprot.writeFieldEnd() if self.minWaitInInstanceRunningMs is not None: oprot.writeFieldBegin('minWaitInInstanceRunningMs', TType.I32, 5) oprot.writeI32(self.minWaitInInstanceRunningMs) oprot.writeFieldEnd() if self.rollbackOnFailure is not None: oprot.writeFieldBegin('rollbackOnFailure', TType.BOOL, 6) oprot.writeBool(self.rollbackOnFailure) oprot.writeFieldEnd() if self.updateOnlyTheseInstances is not None: oprot.writeFieldBegin('updateOnlyTheseInstances', TType.SET, 7) oprot.writeSetBegin(TType.STRUCT, len(self.updateOnlyTheseInstances)) for iter157 in self.updateOnlyTheseInstances: iter157.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() if self.waitForBatchCompletion is not None: oprot.writeFieldBegin('waitForBatchCompletion', TType.BOOL, 8) oprot.writeBool(self.waitForBatchCompletion) oprot.writeFieldEnd() if self.blockIfNoPulsesAfterMs is not None: oprot.writeFieldBegin('blockIfNoPulsesAfterMs', TType.I32, 9) oprot.writeI32(self.blockIfNoPulsesAfterMs) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.updateGroupSize) value = (value * 31) ^ hash(self.maxPerInstanceFailures) value = (value * 31) ^ hash(self.maxFailedInstances) value = (value * 31) ^ hash(self.maxWaitToInstanceRunningMs) value = (value * 31) ^ hash(self.minWaitInInstanceRunningMs) value = (value * 31) ^ hash(self.rollbackOnFailure) value = (value * 31) ^ hash(self.updateOnlyTheseInstances) value = (value * 31) ^ hash(self.waitForBatchCompletion) value = (value * 31) ^ hash(self.blockIfNoPulsesAfterMs) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobUpdateEvent: """ Event marking a state transition in job update lifecycle. Attributes: - status: Update status. - timestampMs: Epoch timestamp in milliseconds. - user: User who performed this event (if user-initiated). - message: Message from the user (for user-initiated transitions) or the scheduler about why the state was changed. """ thrift_spec = ( None, # 0 (1, TType.I32, 'status', None, None, ), # 1 (2, TType.I64, 'timestampMs', None, None, ), # 2 (3, TType.STRING, 'user', None, None, ), # 3 (4, TType.STRING, 'message', None, None, ), # 4 ) def __init__(self, status=None, timestampMs=None, user=None, message=None,): self.status = status self.timestampMs = timestampMs self.user = user self.message = message def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I32: self.status = iprot.readI32() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I64: self.timestampMs = iprot.readI64() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.user = iprot.readString() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.STRING: self.message = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobUpdateEvent') if self.status is not None: oprot.writeFieldBegin('status', TType.I32, 1) oprot.writeI32(self.status) oprot.writeFieldEnd() if self.timestampMs is not None: oprot.writeFieldBegin('timestampMs', TType.I64, 2) oprot.writeI64(self.timestampMs) oprot.writeFieldEnd() if self.user is not None: oprot.writeFieldBegin('user', TType.STRING, 3) oprot.writeString(self.user) oprot.writeFieldEnd() if self.message is not None: oprot.writeFieldBegin('message', TType.STRING, 4) oprot.writeString(self.message) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.status) value = (value * 31) ^ hash(self.timestampMs) value = (value * 31) ^ hash(self.user) value = (value * 31) ^ hash(self.message) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobInstanceUpdateEvent: """ Event marking a state transition in job instance update lifecycle. Attributes: - instanceId: Job instance ID. - timestampMs: Epoch timestamp in milliseconds. - action: Job update action taken on the instance. """ thrift_spec = ( None, # 0 (1, TType.I32, 'instanceId', None, None, ), # 1 (2, TType.I64, 'timestampMs', None, None, ), # 2 (3, TType.I32, 'action', None, None, ), # 3 ) def __init__(self, instanceId=None, timestampMs=None, action=None,): self.instanceId = instanceId self.timestampMs = timestampMs self.action = action def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I32: self.instanceId = iprot.readI32() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I64: self.timestampMs = iprot.readI64() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I32: self.action = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobInstanceUpdateEvent') if self.instanceId is not None: oprot.writeFieldBegin('instanceId', TType.I32, 1) oprot.writeI32(self.instanceId) oprot.writeFieldEnd() if self.timestampMs is not None: oprot.writeFieldBegin('timestampMs', TType.I64, 2) oprot.writeI64(self.timestampMs) oprot.writeFieldEnd() if self.action is not None: oprot.writeFieldBegin('action', TType.I32, 3) oprot.writeI32(self.action) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.instanceId) value = (value * 31) ^ hash(self.timestampMs) value = (value * 31) ^ hash(self.action) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class InstanceTaskConfig: """ Maps instance IDs to TaskConfigs it. Attributes: - task: A TaskConfig associated with instances. - instances: Instances associated with the TaskConfig. """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'task', (TaskConfig, TaskConfig.thrift_spec), None, ), # 1 (2, TType.SET, 'instances', (TType.STRUCT,(Range, Range.thrift_spec)), None, ), # 2 ) def __init__(self, task=None, instances=None,): self.task = task self.instances = instances def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.task = TaskConfig() self.task.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.SET: self.instances = set() (_etype161, _size158) = iprot.readSetBegin() for _i162 in range(_size158): _elem163 = Range() _elem163.read(iprot) self.instances.add(_elem163) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('InstanceTaskConfig') if self.task is not None: oprot.writeFieldBegin('task', TType.STRUCT, 1) self.task.write(oprot) oprot.writeFieldEnd() if self.instances is not None: oprot.writeFieldBegin('instances', TType.SET, 2) oprot.writeSetBegin(TType.STRUCT, len(self.instances)) for iter164 in self.instances: iter164.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.task) value = (value * 31) ^ hash(self.instances) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobUpdateState: """ Current job update state including status and created/modified timestamps. Attributes: - status: Current status of the update. - createdTimestampMs: Created timestamp in milliseconds. - lastModifiedTimestampMs: Last modified timestamp in milliseconds. """ thrift_spec = ( None, # 0 (1, TType.I32, 'status', None, None, ), # 1 (2, TType.I64, 'createdTimestampMs', None, None, ), # 2 (3, TType.I64, 'lastModifiedTimestampMs', None, None, ), # 3 ) def __init__(self, status=None, createdTimestampMs=None, lastModifiedTimestampMs=None,): self.status = status self.createdTimestampMs = createdTimestampMs self.lastModifiedTimestampMs = lastModifiedTimestampMs def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I32: self.status = iprot.readI32() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I64: self.createdTimestampMs = iprot.readI64() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I64: self.lastModifiedTimestampMs = iprot.readI64() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobUpdateState') if self.status is not None: oprot.writeFieldBegin('status', TType.I32, 1) oprot.writeI32(self.status) oprot.writeFieldEnd() if self.createdTimestampMs is not None: oprot.writeFieldBegin('createdTimestampMs', TType.I64, 2) oprot.writeI64(self.createdTimestampMs) oprot.writeFieldEnd() if self.lastModifiedTimestampMs is not None: oprot.writeFieldBegin('lastModifiedTimestampMs', TType.I64, 3) oprot.writeI64(self.lastModifiedTimestampMs) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.status) value = (value * 31) ^ hash(self.createdTimestampMs) value = (value * 31) ^ hash(self.lastModifiedTimestampMs) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobUpdateSummary: """ Summary of the job update including job key, user and current state. Attributes: - updateId: Update ID. - jobKey: Job key. - key: Unique identifier for the update. - user: User initiated an update. - state: Current job update state. """ thrift_spec = ( None, # 0 (1, TType.STRING, 'updateId', None, None, ), # 1 (2, TType.STRUCT, 'jobKey', (JobKey, JobKey.thrift_spec), None, ), # 2 (3, TType.STRING, 'user', None, None, ), # 3 (4, TType.STRUCT, 'state', (JobUpdateState, JobUpdateState.thrift_spec), None, ), # 4 (5, TType.STRUCT, 'key', (JobUpdateKey, JobUpdateKey.thrift_spec), None, ), # 5 ) def __init__(self, updateId=None, jobKey=None, key=None, user=None, state=None,): self.updateId = updateId self.jobKey = jobKey self.key = key self.user = user self.state = state def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.updateId = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.jobKey = JobKey() self.jobKey.read(iprot) else: iprot.skip(ftype) elif fid == 5: if ftype == TType.STRUCT: self.key = JobUpdateKey() self.key.read(iprot) else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.user = iprot.readString() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.STRUCT: self.state = JobUpdateState() self.state.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobUpdateSummary') if self.updateId is not None: oprot.writeFieldBegin('updateId', TType.STRING, 1) oprot.writeString(self.updateId) oprot.writeFieldEnd() if self.jobKey is not None: oprot.writeFieldBegin('jobKey', TType.STRUCT, 2) self.jobKey.write(oprot) oprot.writeFieldEnd() if self.user is not None: oprot.writeFieldBegin('user', TType.STRING, 3) oprot.writeString(self.user) oprot.writeFieldEnd() if self.state is not None: oprot.writeFieldBegin('state', TType.STRUCT, 4) self.state.write(oprot) oprot.writeFieldEnd() if self.key is not None: oprot.writeFieldBegin('key', TType.STRUCT, 5) self.key.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.updateId) value = (value * 31) ^ hash(self.jobKey) value = (value * 31) ^ hash(self.key) value = (value * 31) ^ hash(self.user) value = (value * 31) ^ hash(self.state) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobUpdateInstructions: """ Update configuration and setting details. Attributes: - initialState: Actual InstanceId -> TaskConfig mapping when the update was requested. - desiredState: Desired configuration when the update completes. - settings: Update specific settings. """ thrift_spec = ( None, # 0 (1, TType.SET, 'initialState', (TType.STRUCT,(InstanceTaskConfig, InstanceTaskConfig.thrift_spec)), None, ), # 1 (2, TType.STRUCT, 'desiredState', (InstanceTaskConfig, InstanceTaskConfig.thrift_spec), None, ), # 2 (3, TType.STRUCT, 'settings', (JobUpdateSettings, JobUpdateSettings.thrift_spec), None, ), # 3 ) def __init__(self, initialState=None, desiredState=None, settings=None,): self.initialState = initialState self.desiredState = desiredState self.settings = settings def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.initialState = set() (_etype168, _size165) = iprot.readSetBegin() for _i169 in range(_size165): _elem170 = InstanceTaskConfig() _elem170.read(iprot) self.initialState.add(_elem170) iprot.readSetEnd() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.desiredState = InstanceTaskConfig() self.desiredState.read(iprot) else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRUCT: self.settings = JobUpdateSettings() self.settings.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobUpdateInstructions') if self.initialState is not None: oprot.writeFieldBegin('initialState', TType.SET, 1) oprot.writeSetBegin(TType.STRUCT, len(self.initialState)) for iter171 in self.initialState: iter171.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() if self.desiredState is not None: oprot.writeFieldBegin('desiredState', TType.STRUCT, 2) self.desiredState.write(oprot) oprot.writeFieldEnd() if self.settings is not None: oprot.writeFieldBegin('settings', TType.STRUCT, 3) self.settings.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.initialState) value = (value * 31) ^ hash(self.desiredState) value = (value * 31) ^ hash(self.settings) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobUpdate: """ Full definition of the job update. Attributes: - summary: Update summary. - instructions: Update configuration. """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'summary', (JobUpdateSummary, JobUpdateSummary.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'instructions', (JobUpdateInstructions, JobUpdateInstructions.thrift_spec), None, ), # 2 ) def __init__(self, summary=None, instructions=None,): self.summary = summary self.instructions = instructions def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.summary = JobUpdateSummary() self.summary.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.instructions = JobUpdateInstructions() self.instructions.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobUpdate') if self.summary is not None: oprot.writeFieldBegin('summary', TType.STRUCT, 1) self.summary.write(oprot) oprot.writeFieldEnd() if self.instructions is not None: oprot.writeFieldBegin('instructions', TType.STRUCT, 2) self.instructions.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.summary) value = (value * 31) ^ hash(self.instructions) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobUpdateDetails: """ Attributes: - update: Update definition. - updateEvents: History for this update. - instanceEvents: History for the individual instances updated. """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'update', (JobUpdate, JobUpdate.thrift_spec), None, ), # 1 (2, TType.LIST, 'updateEvents', (TType.STRUCT,(JobUpdateEvent, JobUpdateEvent.thrift_spec)), None, ), # 2 (3, TType.LIST, 'instanceEvents', (TType.STRUCT,(JobInstanceUpdateEvent, JobInstanceUpdateEvent.thrift_spec)), None, ), # 3 ) def __init__(self, update=None, updateEvents=None, instanceEvents=None,): self.update = update self.updateEvents = updateEvents self.instanceEvents = instanceEvents def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.update = JobUpdate() self.update.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.LIST: self.updateEvents = [] (_etype175, _size172) = iprot.readListBegin() for _i176 in range(_size172): _elem177 = JobUpdateEvent() _elem177.read(iprot) self.updateEvents.append(_elem177) iprot.readListEnd() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.LIST: self.instanceEvents = [] (_etype181, _size178) = iprot.readListBegin() for _i182 in range(_size178): _elem183 = JobInstanceUpdateEvent() _elem183.read(iprot) self.instanceEvents.append(_elem183) iprot.readListEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobUpdateDetails') if self.update is not None: oprot.writeFieldBegin('update', TType.STRUCT, 1) self.update.write(oprot) oprot.writeFieldEnd() if self.updateEvents is not None: oprot.writeFieldBegin('updateEvents', TType.LIST, 2) oprot.writeListBegin(TType.STRUCT, len(self.updateEvents)) for iter184 in self.updateEvents: iter184.write(oprot) oprot.writeListEnd() oprot.writeFieldEnd() if self.instanceEvents is not None: oprot.writeFieldBegin('instanceEvents', TType.LIST, 3) oprot.writeListBegin(TType.STRUCT, len(self.instanceEvents)) for iter185 in self.instanceEvents: iter185.write(oprot) oprot.writeListEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.update) value = (value * 31) ^ hash(self.updateEvents) value = (value * 31) ^ hash(self.instanceEvents) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobUpdateRequest: """ A request to update the following instances of an existing job. Used by startUpdate. Attributes: - taskConfig: Desired TaskConfig to apply. - instanceCount: Desired number of instances of the task config. - settings: Update settings and limits. """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'taskConfig', (TaskConfig, TaskConfig.thrift_spec), None, ), # 1 (2, TType.I32, 'instanceCount', None, None, ), # 2 (3, TType.STRUCT, 'settings', (JobUpdateSettings, JobUpdateSettings.thrift_spec), None, ), # 3 ) def __init__(self, taskConfig=None, instanceCount=None, settings=None,): self.taskConfig = taskConfig self.instanceCount = instanceCount self.settings = settings def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.taskConfig = TaskConfig() self.taskConfig.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I32: self.instanceCount = iprot.readI32() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRUCT: self.settings = JobUpdateSettings() self.settings.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobUpdateRequest') if self.taskConfig is not None: oprot.writeFieldBegin('taskConfig', TType.STRUCT, 1) self.taskConfig.write(oprot) oprot.writeFieldEnd() if self.instanceCount is not None: oprot.writeFieldBegin('instanceCount', TType.I32, 2) oprot.writeI32(self.instanceCount) oprot.writeFieldEnd() if self.settings is not None: oprot.writeFieldBegin('settings', TType.STRUCT, 3) self.settings.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.taskConfig) value = (value * 31) ^ hash(self.instanceCount) value = (value * 31) ^ hash(self.settings) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobUpdateQuery: """ Contains a set of restrictions on matching job updates where all restrictions must be met (terms are AND'ed together). Attributes: - role: Job role. - key: Unique identifier for a job update. - jobKey: Job key. - user: User who created the update. - updateStatuses: Set of update statuses. - offset: Offset to serve data from. Used by pagination. - limit: Number or records to serve. Used by pagination. """ thrift_spec = ( None, # 0 None, # 1 (2, TType.STRING, 'role', None, None, ), # 2 (3, TType.STRUCT, 'jobKey', (JobKey, JobKey.thrift_spec), None, ), # 3 (4, TType.STRING, 'user', None, None, ), # 4 (5, TType.SET, 'updateStatuses', (TType.I32,None), None, ), # 5 (6, TType.I32, 'offset', None, None, ), # 6 (7, TType.I32, 'limit', None, None, ), # 7 (8, TType.STRUCT, 'key', (JobUpdateKey, JobUpdateKey.thrift_spec), None, ), # 8 ) def __init__(self, role=None, key=None, jobKey=None, user=None, updateStatuses=None, offset=None, limit=None,): self.role = role self.key = key self.jobKey = jobKey self.user = user self.updateStatuses = updateStatuses self.offset = offset self.limit = limit def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 2: if ftype == TType.STRING: self.role = iprot.readString() else: iprot.skip(ftype) elif fid == 8: if ftype == TType.STRUCT: self.key = JobUpdateKey() self.key.read(iprot) else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRUCT: self.jobKey = JobKey() self.jobKey.read(iprot) else: iprot.skip(ftype) elif fid == 4: if ftype == TType.STRING: self.user = iprot.readString() else: iprot.skip(ftype) elif fid == 5: if ftype == TType.SET: self.updateStatuses = set() (_etype189, _size186) = iprot.readSetBegin() for _i190 in range(_size186): _elem191 = iprot.readI32() self.updateStatuses.add(_elem191) iprot.readSetEnd() else: iprot.skip(ftype) elif fid == 6: if ftype == TType.I32: self.offset = iprot.readI32() else: iprot.skip(ftype) elif fid == 7: if ftype == TType.I32: self.limit = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobUpdateQuery') if self.role is not None: oprot.writeFieldBegin('role', TType.STRING, 2) oprot.writeString(self.role) oprot.writeFieldEnd() if self.jobKey is not None: oprot.writeFieldBegin('jobKey', TType.STRUCT, 3) self.jobKey.write(oprot) oprot.writeFieldEnd() if self.user is not None: oprot.writeFieldBegin('user', TType.STRING, 4) oprot.writeString(self.user) oprot.writeFieldEnd() if self.updateStatuses is not None: oprot.writeFieldBegin('updateStatuses', TType.SET, 5) oprot.writeSetBegin(TType.I32, len(self.updateStatuses)) for iter192 in self.updateStatuses: oprot.writeI32(iter192) oprot.writeSetEnd() oprot.writeFieldEnd() if self.offset is not None: oprot.writeFieldBegin('offset', TType.I32, 6) oprot.writeI32(self.offset) oprot.writeFieldEnd() if self.limit is not None: oprot.writeFieldBegin('limit', TType.I32, 7) oprot.writeI32(self.limit) oprot.writeFieldEnd() if self.key is not None: oprot.writeFieldBegin('key', TType.STRUCT, 8) self.key.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.role) value = (value * 31) ^ hash(self.key) value = (value * 31) ^ hash(self.jobKey) value = (value * 31) ^ hash(self.user) value = (value * 31) ^ hash(self.updateStatuses) value = (value * 31) ^ hash(self.offset) value = (value * 31) ^ hash(self.limit) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class ListBackupsResult: """ Attributes: - backups """ thrift_spec = ( None, # 0 (1, TType.SET, 'backups', (TType.STRING,None), None, ), # 1 ) def __init__(self, backups=None,): self.backups = backups def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.backups = set() (_etype196, _size193) = iprot.readSetBegin() for _i197 in range(_size193): _elem198 = iprot.readString() self.backups.add(_elem198) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('ListBackupsResult') if self.backups is not None: oprot.writeFieldBegin('backups', TType.SET, 1) oprot.writeSetBegin(TType.STRING, len(self.backups)) for iter199 in self.backups: oprot.writeString(iter199) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.backups) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class StartMaintenanceResult: """ Attributes: - statuses """ thrift_spec = ( None, # 0 (1, TType.SET, 'statuses', (TType.STRUCT,(HostStatus, HostStatus.thrift_spec)), None, ), # 1 ) def __init__(self, statuses=None,): self.statuses = statuses def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.statuses = set() (_etype203, _size200) = iprot.readSetBegin() for _i204 in range(_size200): _elem205 = HostStatus() _elem205.read(iprot) self.statuses.add(_elem205) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('StartMaintenanceResult') if self.statuses is not None: oprot.writeFieldBegin('statuses', TType.SET, 1) oprot.writeSetBegin(TType.STRUCT, len(self.statuses)) for iter206 in self.statuses: iter206.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.statuses) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class DrainHostsResult: """ Attributes: - statuses """ thrift_spec = ( None, # 0 (1, TType.SET, 'statuses', (TType.STRUCT,(HostStatus, HostStatus.thrift_spec)), None, ), # 1 ) def __init__(self, statuses=None,): self.statuses = statuses def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.statuses = set() (_etype210, _size207) = iprot.readSetBegin() for _i211 in range(_size207): _elem212 = HostStatus() _elem212.read(iprot) self.statuses.add(_elem212) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('DrainHostsResult') if self.statuses is not None: oprot.writeFieldBegin('statuses', TType.SET, 1) oprot.writeSetBegin(TType.STRUCT, len(self.statuses)) for iter213 in self.statuses: iter213.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.statuses) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class QueryRecoveryResult: """ Attributes: - tasks """ thrift_spec = ( None, # 0 (1, TType.SET, 'tasks', (TType.STRUCT,(ScheduledTask, ScheduledTask.thrift_spec)), None, ), # 1 ) def __init__(self, tasks=None,): self.tasks = tasks def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.tasks = set() (_etype217, _size214) = iprot.readSetBegin() for _i218 in range(_size214): _elem219 = ScheduledTask() _elem219.read(iprot) self.tasks.add(_elem219) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('QueryRecoveryResult') if self.tasks is not None: oprot.writeFieldBegin('tasks', TType.SET, 1) oprot.writeSetBegin(TType.STRUCT, len(self.tasks)) for iter220 in self.tasks: iter220.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.tasks) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class MaintenanceStatusResult: """ Attributes: - statuses """ thrift_spec = ( None, # 0 (1, TType.SET, 'statuses', (TType.STRUCT,(HostStatus, HostStatus.thrift_spec)), None, ), # 1 ) def __init__(self, statuses=None,): self.statuses = statuses def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.statuses = set() (_etype224, _size221) = iprot.readSetBegin() for _i225 in range(_size221): _elem226 = HostStatus() _elem226.read(iprot) self.statuses.add(_elem226) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('MaintenanceStatusResult') if self.statuses is not None: oprot.writeFieldBegin('statuses', TType.SET, 1) oprot.writeSetBegin(TType.STRUCT, len(self.statuses)) for iter227 in self.statuses: iter227.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.statuses) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class EndMaintenanceResult: """ Attributes: - statuses """ thrift_spec = ( None, # 0 (1, TType.SET, 'statuses', (TType.STRUCT,(HostStatus, HostStatus.thrift_spec)), None, ), # 1 ) def __init__(self, statuses=None,): self.statuses = statuses def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.statuses = set() (_etype231, _size228) = iprot.readSetBegin() for _i232 in range(_size228): _elem233 = HostStatus() _elem233.read(iprot) self.statuses.add(_elem233) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('EndMaintenanceResult') if self.statuses is not None: oprot.writeFieldBegin('statuses', TType.SET, 1) oprot.writeSetBegin(TType.STRUCT, len(self.statuses)) for iter234 in self.statuses: iter234.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.statuses) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class RoleSummaryResult: """ Attributes: - summaries """ thrift_spec = ( None, # 0 (1, TType.SET, 'summaries', (TType.STRUCT,(RoleSummary, RoleSummary.thrift_spec)), None, ), # 1 ) def __init__(self, summaries=None,): self.summaries = summaries def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.summaries = set() (_etype238, _size235) = iprot.readSetBegin() for _i239 in range(_size235): _elem240 = RoleSummary() _elem240.read(iprot) self.summaries.add(_elem240) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('RoleSummaryResult') if self.summaries is not None: oprot.writeFieldBegin('summaries', TType.SET, 1) oprot.writeSetBegin(TType.STRUCT, len(self.summaries)) for iter241 in self.summaries: iter241.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.summaries) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobSummaryResult: """ Attributes: - summaries """ thrift_spec = ( None, # 0 (1, TType.SET, 'summaries', (TType.STRUCT,(JobSummary, JobSummary.thrift_spec)), None, ), # 1 ) def __init__(self, summaries=None,): self.summaries = summaries def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.summaries = set() (_etype245, _size242) = iprot.readSetBegin() for _i246 in range(_size242): _elem247 = JobSummary() _elem247.read(iprot) self.summaries.add(_elem247) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobSummaryResult') if self.summaries is not None: oprot.writeFieldBegin('summaries', TType.SET, 1) oprot.writeSetBegin(TType.STRUCT, len(self.summaries)) for iter248 in self.summaries: iter248.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.summaries) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class GetLocksResult: """ Attributes: - locks """ thrift_spec = ( None, # 0 (1, TType.SET, 'locks', (TType.STRUCT,(Lock, Lock.thrift_spec)), None, ), # 1 ) def __init__(self, locks=None,): self.locks = locks def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.locks = set() (_etype252, _size249) = iprot.readSetBegin() for _i253 in range(_size249): _elem254 = Lock() _elem254.read(iprot) self.locks.add(_elem254) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('GetLocksResult') if self.locks is not None: oprot.writeFieldBegin('locks', TType.SET, 1) oprot.writeSetBegin(TType.STRUCT, len(self.locks)) for iter255 in self.locks: iter255.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.locks) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class ConfigSummaryResult: """ Attributes: - summary """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'summary', (ConfigSummary, ConfigSummary.thrift_spec), None, ), # 1 ) def __init__(self, summary=None,): self.summary = summary def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.summary = ConfigSummary() self.summary.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('ConfigSummaryResult') if self.summary is not None: oprot.writeFieldBegin('summary', TType.STRUCT, 1) self.summary.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.summary) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class GetPendingReasonResult: """ Attributes: - reasons """ thrift_spec = ( None, # 0 (1, TType.SET, 'reasons', (TType.STRUCT,(PendingReason, PendingReason.thrift_spec)), None, ), # 1 ) def __init__(self, reasons=None,): self.reasons = reasons def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.SET: self.reasons = set() (_etype259, _size256) = iprot.readSetBegin() for _i260 in range(_size256): _elem261 = PendingReason() _elem261.read(iprot) self.reasons.add(_elem261) iprot.readSetEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('GetPendingReasonResult') if self.reasons is not None: oprot.writeFieldBegin('reasons', TType.SET, 1) oprot.writeSetBegin(TType.STRUCT, len(self.reasons)) for iter262 in self.reasons: iter262.write(oprot) oprot.writeSetEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.reasons) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class StartJobUpdateResult: """ Result of the startUpdate call. Attributes: - key: Unique identifier for the job update. """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'key', (JobUpdateKey, JobUpdateKey.thrift_spec), None, ), # 1 ) def __init__(self, key=None,): self.key = key def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.key = JobUpdateKey() self.key.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('StartJobUpdateResult') if self.key is not None: oprot.writeFieldBegin('key', TType.STRUCT, 1) self.key.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.key) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class GetJobUpdateSummariesResult: """ Result of the getJobUpdateSummaries call. Attributes: - updateSummaries """ thrift_spec = ( None, # 0 (1, TType.LIST, 'updateSummaries', (TType.STRUCT,(JobUpdateSummary, JobUpdateSummary.thrift_spec)), None, ), # 1 ) def __init__(self, updateSummaries=None,): self.updateSummaries = updateSummaries def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.LIST: self.updateSummaries = [] (_etype266, _size263) = iprot.readListBegin() for _i267 in range(_size263): _elem268 = JobUpdateSummary() _elem268.read(iprot) self.updateSummaries.append(_elem268) iprot.readListEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('GetJobUpdateSummariesResult') if self.updateSummaries is not None: oprot.writeFieldBegin('updateSummaries', TType.LIST, 1) oprot.writeListBegin(TType.STRUCT, len(self.updateSummaries)) for iter269 in self.updateSummaries: iter269.write(oprot) oprot.writeListEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.updateSummaries) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class GetJobUpdateDetailsResult: """ Result of the getJobUpdateDetails call. Attributes: - details """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'details', (JobUpdateDetails, JobUpdateDetails.thrift_spec), None, ), # 1 ) def __init__(self, details=None,): self.details = details def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.details = JobUpdateDetails() self.details.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('GetJobUpdateDetailsResult') if self.details is not None: oprot.writeFieldBegin('details', TType.STRUCT, 1) self.details.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.details) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class PulseJobUpdateResult: """ Result of the pulseJobUpdate call. Attributes: - status """ thrift_spec = ( None, # 0 (1, TType.I32, 'status', None, None, ), # 1 ) def __init__(self, status=None,): self.status = status def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I32: self.status = iprot.readI32() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('PulseJobUpdateResult') if self.status is not None: oprot.writeFieldBegin('status', TType.I32, 1) oprot.writeI32(self.status) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.status) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class ServerInfo: """ Information about the scheduler. Attributes: - clusterName - thriftAPIVersion - statsUrlPrefix: A url prefix for job container stats. """ thrift_spec = ( None, # 0 (1, TType.STRING, 'clusterName', None, None, ), # 1 (2, TType.I32, 'thriftAPIVersion', None, None, ), # 2 (3, TType.STRING, 'statsUrlPrefix', None, None, ), # 3 ) def __init__(self, clusterName=None, thriftAPIVersion=None, statsUrlPrefix=None,): self.clusterName = clusterName self.thriftAPIVersion = thriftAPIVersion self.statsUrlPrefix = statsUrlPrefix def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.clusterName = iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I32: self.thriftAPIVersion = iprot.readI32() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.statsUrlPrefix = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('ServerInfo') if self.clusterName is not None: oprot.writeFieldBegin('clusterName', TType.STRING, 1) oprot.writeString(self.clusterName) oprot.writeFieldEnd() if self.thriftAPIVersion is not None: oprot.writeFieldBegin('thriftAPIVersion', TType.I32, 2) oprot.writeI32(self.thriftAPIVersion) oprot.writeFieldEnd() if self.statsUrlPrefix is not None: oprot.writeFieldBegin('statsUrlPrefix', TType.STRING, 3) oprot.writeString(self.statsUrlPrefix) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.clusterName) value = (value * 31) ^ hash(self.thriftAPIVersion) value = (value * 31) ^ hash(self.statsUrlPrefix) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class Result: """ Attributes: - populateJobResult - scheduleStatusResult - getJobsResult - getQuotaResult - listBackupsResult - startMaintenanceResult - drainHostsResult - queryRecoveryResult - maintenanceStatusResult - endMaintenanceResult - getVersionResult - acquireLockResult - roleSummaryResult - jobSummaryResult - getLocksResult - configSummaryResult - getPendingReasonResult - startJobUpdateResult - getJobUpdateSummariesResult - getJobUpdateDetailsResult - pulseJobUpdateResult """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'populateJobResult', (PopulateJobResult, PopulateJobResult.thrift_spec), None, ), # 1 None, # 2 (3, TType.STRUCT, 'scheduleStatusResult', (ScheduleStatusResult, ScheduleStatusResult.thrift_spec), None, ), # 3 (4, TType.STRUCT, 'getJobsResult', (GetJobsResult, GetJobsResult.thrift_spec), None, ), # 4 (5, TType.STRUCT, 'getQuotaResult', (GetQuotaResult, GetQuotaResult.thrift_spec), None, ), # 5 (6, TType.STRUCT, 'listBackupsResult', (ListBackupsResult, ListBackupsResult.thrift_spec), None, ), # 6 (7, TType.STRUCT, 'startMaintenanceResult', (StartMaintenanceResult, StartMaintenanceResult.thrift_spec), None, ), # 7 (8, TType.STRUCT, 'drainHostsResult', (DrainHostsResult, DrainHostsResult.thrift_spec), None, ), # 8 (9, TType.STRUCT, 'queryRecoveryResult', (QueryRecoveryResult, QueryRecoveryResult.thrift_spec), None, ), # 9 (10, TType.STRUCT, 'maintenanceStatusResult', (MaintenanceStatusResult, MaintenanceStatusResult.thrift_spec), None, ), # 10 (11, TType.STRUCT, 'endMaintenanceResult', (EndMaintenanceResult, EndMaintenanceResult.thrift_spec), None, ), # 11 None, # 12 None, # 13 None, # 14 (15, TType.STRUCT, 'getVersionResult', (APIVersion, APIVersion.thrift_spec), None, ), # 15 (16, TType.STRUCT, 'acquireLockResult', (AcquireLockResult, AcquireLockResult.thrift_spec), None, ), # 16 (17, TType.STRUCT, 'roleSummaryResult', (RoleSummaryResult, RoleSummaryResult.thrift_spec), None, ), # 17 (18, TType.STRUCT, 'jobSummaryResult', (JobSummaryResult, JobSummaryResult.thrift_spec), None, ), # 18 (19, TType.STRUCT, 'getLocksResult', (GetLocksResult, GetLocksResult.thrift_spec), None, ), # 19 (20, TType.STRUCT, 'configSummaryResult', (ConfigSummaryResult, ConfigSummaryResult.thrift_spec), None, ), # 20 (21, TType.STRUCT, 'getPendingReasonResult', (GetPendingReasonResult, GetPendingReasonResult.thrift_spec), None, ), # 21 (22, TType.STRUCT, 'startJobUpdateResult', (StartJobUpdateResult, StartJobUpdateResult.thrift_spec), None, ), # 22 (23, TType.STRUCT, 'getJobUpdateSummariesResult', (GetJobUpdateSummariesResult, GetJobUpdateSummariesResult.thrift_spec), None, ), # 23 (24, TType.STRUCT, 'getJobUpdateDetailsResult', (GetJobUpdateDetailsResult, GetJobUpdateDetailsResult.thrift_spec), None, ), # 24 (25, TType.STRUCT, 'pulseJobUpdateResult', (PulseJobUpdateResult, PulseJobUpdateResult.thrift_spec), None, ), # 25 ) def __init__(self, populateJobResult=None, scheduleStatusResult=None, getJobsResult=None, getQuotaResult=None, listBackupsResult=None, startMaintenanceResult=None, drainHostsResult=None, queryRecoveryResult=None, maintenanceStatusResult=None, endMaintenanceResult=None, getVersionResult=None, acquireLockResult=None, roleSummaryResult=None, jobSummaryResult=None, getLocksResult=None, configSummaryResult=None, getPendingReasonResult=None, startJobUpdateResult=None, getJobUpdateSummariesResult=None, getJobUpdateDetailsResult=None, pulseJobUpdateResult=None,): self.populateJobResult = populateJobResult self.scheduleStatusResult = scheduleStatusResult self.getJobsResult = getJobsResult self.getQuotaResult = getQuotaResult self.listBackupsResult = listBackupsResult self.startMaintenanceResult = startMaintenanceResult self.drainHostsResult = drainHostsResult self.queryRecoveryResult = queryRecoveryResult self.maintenanceStatusResult = maintenanceStatusResult self.endMaintenanceResult = endMaintenanceResult self.getVersionResult = getVersionResult self.acquireLockResult = acquireLockResult self.roleSummaryResult = roleSummaryResult self.jobSummaryResult = jobSummaryResult self.getLocksResult = getLocksResult self.configSummaryResult = configSummaryResult self.getPendingReasonResult = getPendingReasonResult self.startJobUpdateResult = startJobUpdateResult self.getJobUpdateSummariesResult = getJobUpdateSummariesResult self.getJobUpdateDetailsResult = getJobUpdateDetailsResult self.pulseJobUpdateResult = pulseJobUpdateResult def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.populateJobResult = PopulateJobResult() self.populateJobResult.read(iprot) else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRUCT: self.scheduleStatusResult = ScheduleStatusResult() self.scheduleStatusResult.read(iprot) else: iprot.skip(ftype) elif fid == 4: if ftype == TType.STRUCT: self.getJobsResult = GetJobsResult() self.getJobsResult.read(iprot) else: iprot.skip(ftype) elif fid == 5: if ftype == TType.STRUCT: self.getQuotaResult = GetQuotaResult() self.getQuotaResult.read(iprot) else: iprot.skip(ftype) elif fid == 6: if ftype == TType.STRUCT: self.listBackupsResult = ListBackupsResult() self.listBackupsResult.read(iprot) else: iprot.skip(ftype) elif fid == 7: if ftype == TType.STRUCT: self.startMaintenanceResult = StartMaintenanceResult() self.startMaintenanceResult.read(iprot) else: iprot.skip(ftype) elif fid == 8: if ftype == TType.STRUCT: self.drainHostsResult = DrainHostsResult() self.drainHostsResult.read(iprot) else: iprot.skip(ftype) elif fid == 9: if ftype == TType.STRUCT: self.queryRecoveryResult = QueryRecoveryResult() self.queryRecoveryResult.read(iprot) else: iprot.skip(ftype) elif fid == 10: if ftype == TType.STRUCT: self.maintenanceStatusResult = MaintenanceStatusResult() self.maintenanceStatusResult.read(iprot) else: iprot.skip(ftype) elif fid == 11: if ftype == TType.STRUCT: self.endMaintenanceResult = EndMaintenanceResult() self.endMaintenanceResult.read(iprot) else: iprot.skip(ftype) elif fid == 15: if ftype == TType.STRUCT: self.getVersionResult = APIVersion() self.getVersionResult.read(iprot) else: iprot.skip(ftype) elif fid == 16: if ftype == TType.STRUCT: self.acquireLockResult = AcquireLockResult() self.acquireLockResult.read(iprot) else: iprot.skip(ftype) elif fid == 17: if ftype == TType.STRUCT: self.roleSummaryResult = RoleSummaryResult() self.roleSummaryResult.read(iprot) else: iprot.skip(ftype) elif fid == 18: if ftype == TType.STRUCT: self.jobSummaryResult = JobSummaryResult() self.jobSummaryResult.read(iprot) else: iprot.skip(ftype) elif fid == 19: if ftype == TType.STRUCT: self.getLocksResult = GetLocksResult() self.getLocksResult.read(iprot) else: iprot.skip(ftype) elif fid == 20: if ftype == TType.STRUCT: self.configSummaryResult = ConfigSummaryResult() self.configSummaryResult.read(iprot) else: iprot.skip(ftype) elif fid == 21: if ftype == TType.STRUCT: self.getPendingReasonResult = GetPendingReasonResult() self.getPendingReasonResult.read(iprot) else: iprot.skip(ftype) elif fid == 22: if ftype == TType.STRUCT: self.startJobUpdateResult = StartJobUpdateResult() self.startJobUpdateResult.read(iprot) else: iprot.skip(ftype) elif fid == 23: if ftype == TType.STRUCT: self.getJobUpdateSummariesResult = GetJobUpdateSummariesResult() self.getJobUpdateSummariesResult.read(iprot) else: iprot.skip(ftype) elif fid == 24: if ftype == TType.STRUCT: self.getJobUpdateDetailsResult = GetJobUpdateDetailsResult() self.getJobUpdateDetailsResult.read(iprot) else: iprot.skip(ftype) elif fid == 25: if ftype == TType.STRUCT: self.pulseJobUpdateResult = PulseJobUpdateResult() self.pulseJobUpdateResult.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Result') if self.populateJobResult is not None: oprot.writeFieldBegin('populateJobResult', TType.STRUCT, 1) self.populateJobResult.write(oprot) oprot.writeFieldEnd() if self.scheduleStatusResult is not None: oprot.writeFieldBegin('scheduleStatusResult', TType.STRUCT, 3) self.scheduleStatusResult.write(oprot) oprot.writeFieldEnd() if self.getJobsResult is not None: oprot.writeFieldBegin('getJobsResult', TType.STRUCT, 4) self.getJobsResult.write(oprot) oprot.writeFieldEnd() if self.getQuotaResult is not None: oprot.writeFieldBegin('getQuotaResult', TType.STRUCT, 5) self.getQuotaResult.write(oprot) oprot.writeFieldEnd() if self.listBackupsResult is not None: oprot.writeFieldBegin('listBackupsResult', TType.STRUCT, 6) self.listBackupsResult.write(oprot) oprot.writeFieldEnd() if self.startMaintenanceResult is not None: oprot.writeFieldBegin('startMaintenanceResult', TType.STRUCT, 7) self.startMaintenanceResult.write(oprot) oprot.writeFieldEnd() if self.drainHostsResult is not None: oprot.writeFieldBegin('drainHostsResult', TType.STRUCT, 8) self.drainHostsResult.write(oprot) oprot.writeFieldEnd() if self.queryRecoveryResult is not None: oprot.writeFieldBegin('queryRecoveryResult', TType.STRUCT, 9) self.queryRecoveryResult.write(oprot) oprot.writeFieldEnd() if self.maintenanceStatusResult is not None: oprot.writeFieldBegin('maintenanceStatusResult', TType.STRUCT, 10) self.maintenanceStatusResult.write(oprot) oprot.writeFieldEnd() if self.endMaintenanceResult is not None: oprot.writeFieldBegin('endMaintenanceResult', TType.STRUCT, 11) self.endMaintenanceResult.write(oprot) oprot.writeFieldEnd() if self.getVersionResult is not None: oprot.writeFieldBegin('getVersionResult', TType.STRUCT, 15) self.getVersionResult.write(oprot) oprot.writeFieldEnd() if self.acquireLockResult is not None: oprot.writeFieldBegin('acquireLockResult', TType.STRUCT, 16) self.acquireLockResult.write(oprot) oprot.writeFieldEnd() if self.roleSummaryResult is not None: oprot.writeFieldBegin('roleSummaryResult', TType.STRUCT, 17) self.roleSummaryResult.write(oprot) oprot.writeFieldEnd() if self.jobSummaryResult is not None: oprot.writeFieldBegin('jobSummaryResult', TType.STRUCT, 18) self.jobSummaryResult.write(oprot) oprot.writeFieldEnd() if self.getLocksResult is not None: oprot.writeFieldBegin('getLocksResult', TType.STRUCT, 19) self.getLocksResult.write(oprot) oprot.writeFieldEnd() if self.configSummaryResult is not None: oprot.writeFieldBegin('configSummaryResult', TType.STRUCT, 20) self.configSummaryResult.write(oprot) oprot.writeFieldEnd() if self.getPendingReasonResult is not None: oprot.writeFieldBegin('getPendingReasonResult', TType.STRUCT, 21) self.getPendingReasonResult.write(oprot) oprot.writeFieldEnd() if self.startJobUpdateResult is not None: oprot.writeFieldBegin('startJobUpdateResult', TType.STRUCT, 22) self.startJobUpdateResult.write(oprot) oprot.writeFieldEnd() if self.getJobUpdateSummariesResult is not None: oprot.writeFieldBegin('getJobUpdateSummariesResult', TType.STRUCT, 23) self.getJobUpdateSummariesResult.write(oprot) oprot.writeFieldEnd() if self.getJobUpdateDetailsResult is not None: oprot.writeFieldBegin('getJobUpdateDetailsResult', TType.STRUCT, 24) self.getJobUpdateDetailsResult.write(oprot) oprot.writeFieldEnd() if self.pulseJobUpdateResult is not None: oprot.writeFieldBegin('pulseJobUpdateResult', TType.STRUCT, 25) self.pulseJobUpdateResult.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.populateJobResult) value = (value * 31) ^ hash(self.scheduleStatusResult) value = (value * 31) ^ hash(self.getJobsResult) value = (value * 31) ^ hash(self.getQuotaResult) value = (value * 31) ^ hash(self.listBackupsResult) value = (value * 31) ^ hash(self.startMaintenanceResult) value = (value * 31) ^ hash(self.drainHostsResult) value = (value * 31) ^ hash(self.queryRecoveryResult) value = (value * 31) ^ hash(self.maintenanceStatusResult) value = (value * 31) ^ hash(self.endMaintenanceResult) value = (value * 31) ^ hash(self.getVersionResult) value = (value * 31) ^ hash(self.acquireLockResult) value = (value * 31) ^ hash(self.roleSummaryResult) value = (value * 31) ^ hash(self.jobSummaryResult) value = (value * 31) ^ hash(self.getLocksResult) value = (value * 31) ^ hash(self.configSummaryResult) value = (value * 31) ^ hash(self.getPendingReasonResult) value = (value * 31) ^ hash(self.startJobUpdateResult) value = (value * 31) ^ hash(self.getJobUpdateSummariesResult) value = (value * 31) ^ hash(self.getJobUpdateDetailsResult) value = (value * 31) ^ hash(self.pulseJobUpdateResult) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class ResponseDetail: """ Attributes: - message """ thrift_spec = ( None, # 0 (1, TType.STRING, 'message', None, None, ), # 1 ) def __init__(self, message=None,): self.message = message def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.message = iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('ResponseDetail') if self.message is not None: oprot.writeFieldBegin('message', TType.STRING, 1) oprot.writeString(self.message) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.message) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class Response: """ Attributes: - responseCode - serverInfo - result: Payload from the invoked RPC. - details: Messages from the server relevant to the request, such as warnings or use of deprecated features. """ thrift_spec = ( None, # 0 (1, TType.I32, 'responseCode', None, None, ), # 1 None, # 2 (3, TType.STRUCT, 'result', (Result, Result.thrift_spec), None, ), # 3 None, # 4 (5, TType.STRUCT, 'serverInfo', (ServerInfo, ServerInfo.thrift_spec), None, ), # 5 (6, TType.LIST, 'details', (TType.STRUCT,(ResponseDetail, ResponseDetail.thrift_spec)), None, ), # 6 ) def __init__(self, responseCode=None, serverInfo=None, result=None, details=None,): self.responseCode = responseCode self.serverInfo = serverInfo self.result = result self.details = details def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I32: self.responseCode = iprot.readI32() else: iprot.skip(ftype) elif fid == 5: if ftype == TType.STRUCT: self.serverInfo = ServerInfo() self.serverInfo.read(iprot) else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRUCT: self.result = Result() self.result.read(iprot) else: iprot.skip(ftype) elif fid == 6: if ftype == TType.LIST: self.details = [] (_etype273, _size270) = iprot.readListBegin() for _i274 in range(_size270): _elem275 = ResponseDetail() _elem275.read(iprot) self.details.append(_elem275) iprot.readListEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Response') if self.responseCode is not None: oprot.writeFieldBegin('responseCode', TType.I32, 1) oprot.writeI32(self.responseCode) oprot.writeFieldEnd() if self.result is not None: oprot.writeFieldBegin('result', TType.STRUCT, 3) self.result.write(oprot) oprot.writeFieldEnd() if self.serverInfo is not None: oprot.writeFieldBegin('serverInfo', TType.STRUCT, 5) self.serverInfo.write(oprot) oprot.writeFieldEnd() if self.details is not None: oprot.writeFieldBegin('details', TType.LIST, 6) oprot.writeListBegin(TType.STRUCT, len(self.details)) for iter276 in self.details: iter276.write(oprot) oprot.writeListEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.responseCode) value = (value * 31) ^ hash(self.serverInfo) value = (value * 31) ^ hash(self.result) value = (value * 31) ^ hash(self.details) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class InstanceConfigRewrite: """ Attributes: - instanceKey: Key for the task to rewrite. - oldTask: The original configuration. - rewrittenTask: The rewritten configuration. """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'instanceKey', (InstanceKey, InstanceKey.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'oldTask', (TaskConfig, TaskConfig.thrift_spec), None, ), # 2 (3, TType.STRUCT, 'rewrittenTask', (TaskConfig, TaskConfig.thrift_spec), None, ), # 3 ) def __init__(self, instanceKey=None, oldTask=None, rewrittenTask=None,): self.instanceKey = instanceKey self.oldTask = oldTask self.rewrittenTask = rewrittenTask def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.instanceKey = InstanceKey() self.instanceKey.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.oldTask = TaskConfig() self.oldTask.read(iprot) else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRUCT: self.rewrittenTask = TaskConfig() self.rewrittenTask.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('InstanceConfigRewrite') if self.instanceKey is not None: oprot.writeFieldBegin('instanceKey', TType.STRUCT, 1) self.instanceKey.write(oprot) oprot.writeFieldEnd() if self.oldTask is not None: oprot.writeFieldBegin('oldTask', TType.STRUCT, 2) self.oldTask.write(oprot) oprot.writeFieldEnd() if self.rewrittenTask is not None: oprot.writeFieldBegin('rewrittenTask', TType.STRUCT, 3) self.rewrittenTask.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.instanceKey) value = (value * 31) ^ hash(self.oldTask) value = (value * 31) ^ hash(self.rewrittenTask) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class JobConfigRewrite: """ Attributes: - oldJob: The original job configuration. - rewrittenJob: The rewritten job configuration. """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'oldJob', (JobConfiguration, JobConfiguration.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'rewrittenJob', (JobConfiguration, JobConfiguration.thrift_spec), None, ), # 2 ) def __init__(self, oldJob=None, rewrittenJob=None,): self.oldJob = oldJob self.rewrittenJob = rewrittenJob def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.oldJob = JobConfiguration() self.oldJob.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.rewrittenJob = JobConfiguration() self.rewrittenJob.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('JobConfigRewrite') if self.oldJob is not None: oprot.writeFieldBegin('oldJob', TType.STRUCT, 1) self.oldJob.write(oprot) oprot.writeFieldEnd() if self.rewrittenJob is not None: oprot.writeFieldBegin('rewrittenJob', TType.STRUCT, 2) self.rewrittenJob.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.oldJob) value = (value * 31) ^ hash(self.rewrittenJob) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class ConfigRewrite: """ Attributes: - jobRewrite - instanceRewrite """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'jobRewrite', (JobConfigRewrite, JobConfigRewrite.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'instanceRewrite', (InstanceConfigRewrite, InstanceConfigRewrite.thrift_spec), None, ), # 2 ) def __init__(self, jobRewrite=None, instanceRewrite=None,): self.jobRewrite = jobRewrite self.instanceRewrite = instanceRewrite def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.jobRewrite = JobConfigRewrite() self.jobRewrite.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.instanceRewrite = InstanceConfigRewrite() self.instanceRewrite.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('ConfigRewrite') if self.jobRewrite is not None: oprot.writeFieldBegin('jobRewrite', TType.STRUCT, 1) self.jobRewrite.write(oprot) oprot.writeFieldEnd() if self.instanceRewrite is not None: oprot.writeFieldBegin('instanceRewrite', TType.STRUCT, 2) self.instanceRewrite.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.jobRewrite) value = (value * 31) ^ hash(self.instanceRewrite) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class RewriteConfigsRequest: """ Attributes: - rewriteCommands """ thrift_spec = ( None, # 0 (1, TType.LIST, 'rewriteCommands', (TType.STRUCT,(ConfigRewrite, ConfigRewrite.thrift_spec)), None, ), # 1 ) def __init__(self, rewriteCommands=None,): self.rewriteCommands = rewriteCommands def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.LIST: self.rewriteCommands = [] (_etype280, _size277) = iprot.readListBegin() for _i281 in range(_size277): _elem282 = ConfigRewrite() _elem282.read(iprot) self.rewriteCommands.append(_elem282) iprot.readListEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('RewriteConfigsRequest') if self.rewriteCommands is not None: oprot.writeFieldBegin('rewriteCommands', TType.LIST, 1) oprot.writeListBegin(TType.STRUCT, len(self.rewriteCommands)) for iter283 in self.rewriteCommands: iter283.write(oprot) oprot.writeListEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __hash__(self): value = 17 value = (value * 31) ^ hash(self.rewriteCommands) return value def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other)

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563

0.648082

28,514

249,680

5.475696

0.03237

0.017101

0.030724

0.034816

0.747063

0.698202

0.664954

0.650198

0.628537

0.619795

0

0.017953

0.235033

249,680

7,751

564

32.212618

0.799515

0.053777

0

0.714081

1

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0.031903

0.0043

0

1

0.097743

false

0

0.000636

0.036554

0.220915

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null

0

1

0

1

0

null

0

3

e78c8504cb38666456dba20dc22f671b4910bff6

69

py

Python

test/test.py

landdafku11/cryptocurrencybot

d91976d4fb42c75632e92bf9dd2b183d584b0f89

[ "MIT" ]

1

2021-09-30T13:41:12.000Z

test/test.py

KangDo96/CryptoCurrencyBot

3c5d347495b27c752016302fec761efc46daaae5

[ "MIT" ]

null

test/test.py

KangDo96/CryptoCurrencyBot

3c5d347495b27c752016302fec761efc46daaae5

[ "MIT" ]

null

import re result = re.match(r'Analytics', 'AV Analytics ESET AV') ad

17.25

55

0.724638

12

69

4.166667

0.75

0

0.144928

69

4

56

17.25

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0.414286

0

1

0

false

0

0.333333

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1

0

null

0

1

0

null

0

1

0

3

e796a58eb4300de0314fe4b7bff78266de9e06d2

73

py

Python

transforms/fcc_fourier/__init__.py

mikelytaev/wave-propagation

eff0eb1fc843e4d206b05731e40047e1d810d76f

[ "MIT" ]

15

2019-06-28T17:05:23.000Z

2022-03-22T02:20:39.000Z

transforms/fcc_fourier/__init__.py

mikelytaev/wave-propagation

eff0eb1fc843e4d206b05731e40047e1d810d76f

[ "MIT" ]

null

transforms/fcc_fourier/__init__.py

mikelytaev/wave-propagation

eff0eb1fc843e4d206b05731e40047e1d810d76f

[ "MIT" ]

3

2020-10-10T12:41:19.000Z

2021-12-17T14:08:18.000Z

__author__ = 'Lytaev Mikhail (mikelytaev@gmail.com)' from .fcc import *

18.25

52

0.739726

9

73

5.555556

1

0

0.136986

73

3

53

24.333333

0.793651

0

0.506849

0.30137

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

e7af089e211f63ddb7f8867bd2361bef7c8bcf00

294

py

Python

membership/membership/customize/on_buy_package.py

techyidiots/memb

8abf4c9fc7811c285de945eb4921ed359456a456

[ "MIT" ]

null

membership/membership/customize/on_buy_package.py

techyidiots/memb

8abf4c9fc7811c285de945eb4921ed359456a456

[ "MIT" ]

null

membership/membership/customize/on_buy_package.py

techyidiots/memb

8abf4c9fc7811c285de945eb4921ed359456a456

[ "MIT" ]

1

2019-10-20T02:53:14.000Z

from frappe.utils import getdate import frappe # def on_submit(doc, method): # customer = doc.customer # package = doc.item_code # frappe.errprint(package) # pacakage_list = frappe.get_doc("Membership", package_name) # for p in pacakage_list: # if(p== package): # flag = True

17.294118

61

0.697279

40

294

4.975

0.65

0.120603

0

0.187075

294

16

62

18.375

0.832636

0.755102

0

1

0

true

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

3

e7d087d4bce65b210611d6c4124f36db77c54fef

171

py

Python

website/apps.py

grusirna/django-website

49958fe98ea2b95d121e8bb880e684ee7be4ec15

[ "MIT" ]

null

website/apps.py

grusirna/django-website

49958fe98ea2b95d121e8bb880e684ee7be4ec15

[ "MIT" ]

null

website/apps.py

grusirna/django-website

49958fe98ea2b95d121e8bb880e684ee7be4ec15

[ "MIT" ]

null

from django.apps import AppConfig class BaseConfig(AppConfig): name = 'website' verbose_name = '管理员' def ready(self): # autodiscover() pass

15.545455

33

0.625731

18

171

5.888889

0.888889

0

0.280702

171

10

34

17.1

0.861789

0.081871

0

0.064516

0

1

0.166667

false

0.166667

0

0.833333

0

1

0

null

0

null

0

1

0

1

0

3

e7d3fac356c9b0e2d89f734ced66fde365670cd9

395

py

Python

src/xbot/chatbot.py

xinyang178/xbot

dad1fc67062dc6fd21802899fd68f7eb91c96569

[ "MIT" ]

77

2020-10-27T12:19:01.000Z

2022-03-16T09:13:17.000Z

src/xbot/chatbot.py

xinyang178/xbot

dad1fc67062dc6fd21802899fd68f7eb91c96569

[ "MIT" ]

7

2020-12-09T14:05:07.000Z

2021-04-28T02:37:05.000Z

src/xbot/chatbot.py

xinyang178/xbot

dad1fc67062dc6fd21802899fd68f7eb91c96569

[ "MIT" ]

45

2020-09-24T07:28:32.000Z

2022-03-03T17:09:04.000Z

from .exceptions import XBotBaseException class ChatbotBaseException(XBotBaseException): pass class Chatbot(object): """对话机器人类""" def __init__(self, name): self._name = name if name else "XBot" self._history = [] def history(self): pass def get_latest_response(self): pass def response_from(self, sequence, **kwargs): pass

17.173913

48

0.635443

42

395

5.761905

0.547619

0.066116

0.090909

0

0.268354

395

22

49

17.954545

0.83737

0.01519

0

0.307692

0

0.010444

0

1

0.307692

false

0.307692

0.076923

0

0.538462

0

null

0

null

0

1

0

1

0

1

0

3

99b98c85db6971f73c3d7f68fd6951c03998f24e

3,102

py

Python

course/migrations/0092_unicode_literals.py

68ymtlab/relate

0120ca0188a969b3251722241e8d97fda52226b4

[ "Unlicense" ]

null

course/migrations/0092_unicode_literals.py

68ymtlab/relate

0120ca0188a969b3251722241e8d97fda52226b4

[ "Unlicense" ]

6

2015-08-18T00:13:40.000Z

2018-01-31T05:55:13.000Z

course/migrations/0092_unicode_literals.py

davis68/relate

eb40c8c17d4a724a60de3caa3334521a833bad5c

[ "Unlicense" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10 on 2016-08-08 22:07 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('course', '0091_changes_found_for_py3'), ] operations = [ migrations.AlterField( model_name='examticket', name='creator', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Creator'), ), migrations.AlterField( model_name='flowaccessexception', name='creator', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Creator'), ), migrations.AlterField( model_name='flowpagevisit', name='impersonated_by', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='impersonator', to=settings.AUTH_USER_MODEL, verbose_name='Impersonated by'), ), migrations.AlterField( model_name='flowpagevisit', name='user', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='visitor', to=settings.AUTH_USER_MODEL, verbose_name='User'), ), migrations.AlterField( model_name='flowpagevisitgrade', name='grader', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Grader'), ), migrations.AlterField( model_name='flowruleexception', name='creator', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Creator'), ), migrations.AlterField( model_name='flowsession', name='user', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='User'), ), migrations.AlterField( model_name='gradechange', name='creator', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Creator'), ), migrations.AlterField( model_name='gradechange', name='flow_session', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='grade_changes', to='course.FlowSession', verbose_name='Flow session'), ), migrations.AlterField( model_name='participationpreapproval', name='creator', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Creator'), ), ]

45.617647

195

0.661186

349

3,102

5.667622

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0.048534

0.077856

0.122346

0.71638

0.673407

0.656218

0

0.008667

0.218891

3,102

67

196

46.298507

0.807676

0.021277

0

0.6

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1

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false

0

0.066667

0

0.116667

0

null

0

1

0

1

0

1

0

null

0

3

99d9e09b8395d37d0ca88c8eb655595c1c62f9f1

97

py

Python

lab-resources/mapPlottingPy/config.py

varunyn/pythonAtp-workshop

160b0d8ce1dcb12c888fc4e502d0d3de31280d69

[ "UPL-1.0", "BSD-3-Clause" ]

null

lab-resources/mapPlottingPy/config.py

varunyn/pythonAtp-workshop

160b0d8ce1dcb12c888fc4e502d0d3de31280d69

[ "UPL-1.0", "BSD-3-Clause" ]

null

lab-resources/mapPlottingPy/config.py

varunyn/pythonAtp-workshop

160b0d8ce1dcb12c888fc4e502d0d3de31280d69

[ "UPL-1.0", "BSD-3-Clause" ]

null

import cx_Oracle conn_info = { 'user': 'alpha', 'password': '', 'service_name': '' }

13.857143

22

0.546392

10

97

5

1

0

0.247423

97

6

23

16.166667

0.684932

0

0.298969

0

1

0

false

0.166667

0

0.166667

0

1

0

null

0

1

0

null

0

1

0

3

99ddfd28377654b9736b3e494219ac3970a3bf3d

2,328

py

Python

aliyun-python-sdk-dg/aliyunsdkdg/request/v20190327/CreateDatabaseAccessPointRequest.py

yndu13/aliyun-openapi-python-sdk

12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5

[ "Apache-2.0" ]

1,001

2015-07-24T01:32:41.000Z

2022-03-25T01:28:18.000Z

aliyun-python-sdk-dg/aliyunsdkdg/request/v20190327/CreateDatabaseAccessPointRequest.py

yndu13/aliyun-openapi-python-sdk

12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5

[ "Apache-2.0" ]

363

2015-10-20T03:15:00.000Z

2022-03-08T12:26:19.000Z

aliyun-python-sdk-dg/aliyunsdkdg/request/v20190327/CreateDatabaseAccessPointRequest.py

yndu13/aliyun-openapi-python-sdk

12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5

[ "Apache-2.0" ]

682

2015-09-22T07:19:02.000Z

2022-03-22T09:51:46.000Z

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # # http://www.apache.org/licenses/LICENSE-2.0 # # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from aliyunsdkcore.request import RpcRequest from aliyunsdkdg.endpoint import endpoint_data class CreateDatabaseAccessPointRequest(RpcRequest): def __init__(self): RpcRequest.__init__(self, 'dg', '2019-03-27', 'CreateDatabaseAccessPoint','dg') self.set_protocol_type('https') self.set_method('POST') if hasattr(self, "endpoint_map"): setattr(self, "endpoint_map", endpoint_data.getEndpointMap()) if hasattr(self, "endpoint_regional"): setattr(self, "endpoint_regional", endpoint_data.getEndpointRegional()) def get_VpcAZone(self): return self.get_body_params().get('VpcAZone') def set_VpcAZone(self,VpcAZone): self.add_body_params('VpcAZone', VpcAZone) def get_ClientToken(self): return self.get_body_params().get('ClientToken') def set_ClientToken(self,ClientToken): self.add_body_params('ClientToken', ClientToken) def get_DbInstanceId(self): return self.get_body_params().get('DbInstanceId') def set_DbInstanceId(self,DbInstanceId): self.add_body_params('DbInstanceId', DbInstanceId) def get_VpcRegionId(self): return self.get_body_params().get('VpcRegionId') def set_VpcRegionId(self,VpcRegionId): self.add_body_params('VpcRegionId', VpcRegionId) def get_VSwitchId(self): return self.get_body_params().get('VSwitchId') def set_VSwitchId(self,VSwitchId): self.add_body_params('VSwitchId', VSwitchId) def get_VpcId(self): return self.get_body_params().get('VpcId') def set_VpcId(self,VpcId): self.add_body_params('VpcId', VpcId)

33.73913

82

0.75988

311

2,328

5.514469

0.366559

0.069971

0.04898

0.059475

0.104956

0

0.005982

0.138316

2,328

69

83

33.73913

0.848953

0.323883

0

0.14361

0.016469

0

1

0.371429

false

0

0.057143

0.171429

0.628571

0

null

0

null

0

1

0

1

0

3

99e34fc3fe4b4df321b1a45797122554815e18a1

2,996

py

Python

mechanics.py

Windfisch/agario-frickel

04acf7e45d08878733b0d0a0d65f319f6d14d224

[ "BSD-3-Clause" ]

2

2015-08-11T00:47:49.000Z

2016-03-05T13:09:12.000Z

mechanics.py

Windfisch/agario-frickel

04acf7e45d08878733b0d0a0d65f319f6d14d224

[ "BSD-3-Clause" ]

23

2015-08-10T11:11:05.000Z

2015-09-22T16:18:04.000Z

mechanics.py

Windfisch/agario-frickel

04acf7e45d08878733b0d0a0d65f319f6d14d224

[ "BSD-3-Clause" ]

null

# Copyright (c) 2015, Florian Jung and Timm Weber # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # 1. Redistributions of source code must retain the above copyright notice, # this list of conditions and the following disclaimer. # # 2. Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # # 3. Neither the name of the copyright holder nor the names of its # contributors may be used to endorse or promote products derived from this # software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS # IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, # THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR # PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR # PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF # LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING # NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. from agarnet2.world import Cell def speed(size_or_cell): if isinstance(size_or_cell, Cell): if size_or_cell.is_virus or size_or_cell.is_ejected_mass or size_or_cell.is_food: return 0 else: return speed(size_or_cell.size) else: return 86 / (size_or_cell**0.45) def viewport_diag(sizesum): return 370 * max(sizesum,70)**0.431776 eject_delta = 22 # how many degrees do ejects deviate from the original direction (maximum) def get_my_smallest_cell(c): return sorted(c.player.own_cells, key = lambda x: x.mass)[0] def get_my_largest_cell(c): return sorted(c.player.own_cells, key = lambda x: x.mass)[-1] def is_enemy(cell, c): return not cell.is_virus and not cell.is_food and not cell.is_ejected_mass and (not cell.same_player(random_own_cell(c))) and cell.mass > 1.25 * get_my_smallest_cell(c).mass def is_splitkiller(cell, c): return not cell.is_virus and not cell.is_food and not cell.is_ejected_mass and(not cell.same_player(random_own_cell(c))) and cell.mass > 2.5 * get_my_smallest_cell(c).mass and cell.mass < 10 * get_my_smallest_cell(c).mass def is_edible(cell, c): return cell.is_food or cell.is_ejected_mass or ( (not cell.same_player(c.player.own_cells[0])) and not is_enemy(cell,c) and get_my_largest_cell(c).mass > 1.25 * cell.mass ) def is_dangerous_virus(cell, c): return cell.is_virus and (cell.mass < self.get_my_largest().mass)

45.393939

226

0.759012

492

2,996

4.48374

0.376016

0.029465

0.031732

0.030825

0.320943

0.256573

0.227561

0.203083

0

0.01642

0.166555

2,996

65

227

46.092308

0.86704

0.524032

0

0.083333

0

1

0.333333

false

0

0.041667

0.291667

0.791667

0

null

0

null

0

1

0

1

0

3

99f357d29169601abf543944bae99519788c1f90

79

py

Python

mynn/activations/__init__.py

davidmascharka/MyNN

0da56806ed4b6cec8e8ee40d5aa1149d1733bd3b

[ "MIT" ]

19

2018-08-06T14:56:08.000Z

2021-04-27T08:03:04.000Z

mynn/activations/__init__.py

davidmascharka/MyNN

0da56806ed4b6cec8e8ee40d5aa1149d1733bd3b

[ "MIT" ]

33

2018-08-11T16:48:53.000Z

2021-06-07T19:11:20.000Z

mynn/activations/__init__.py

davidmascharka/MyNN

0da56806ed4b6cec8e8ee40d5aa1149d1733bd3b

[ "MIT" ]

2

2018-08-13T19:05:09.000Z

2021-05-07T09:57:53.000Z

from mygrad.nnet.activations import * log_softmax = logsoftmax del logsoftmax

15.8

37

0.822785

10

79

6.4

0.9

0

0.126582

79

4

38

19.75

0.927536

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

99f707c1a721156f92bff7539f6ec6cc81f9f3b4

193

py

Python

txtemplates/echo/__init__.py

mdrohmann/txtemplates

b346b15d3eb465ec828a31fea0a00df3ae582942

[ "BSD-3-Clause" ]

null

txtemplates/echo/__init__.py

mdrohmann/txtemplates

b346b15d3eb465ec828a31fea0a00df3ae582942

[ "BSD-3-Clause" ]

null

txtemplates/echo/__init__.py

mdrohmann/txtemplates

b346b15d3eb465ec828a31fea0a00df3ae582942

[ "BSD-3-Clause" ]

null

""" Minimal server module used for debugging. """ import backend import service import protocol __all__ = ['backend', 'service', 'protocol'] # vim: set ft=python spell spelllang=en sw=4 et:

16.083333

48

0.720207

26

193

5.192308

0.807692

0

0.006135

0.15544

193

11

49

17.545455

0.822086

0.46114

0

0.229167

0

1

0

false

0

0.75

0

0.75

0

1

0

null

0

null

0

1

0

1

0

3

821543b228d62a687d310733959a84249fcb0f1f

178

py

Python

text_analysis/main/urls.py

bungoume/mecab-web-api

d69fb87778c54e73652652b38dd14245bfb8f4a5

[ "MIT" ]

36

2015-01-14T03:11:28.000Z

2022-01-10T03:50:21.000Z

text_analysis/main/urls.py

bungoume/mecab-web-api

d69fb87778c54e73652652b38dd14245bfb8f4a5

[ "MIT" ]

49

2018-10-04T04:03:11.000Z

2022-03-07T02:00:25.000Z

text_analysis/main/urls.py

bungoume/mecab-web-api

d69fb87778c54e73652652b38dd14245bfb8f4a5

[ "MIT" ]

7

2015-07-28T05:02:56.000Z

2021-05-28T17:38:11.000Z

from django.conf.urls import url from main import views urlpatterns = [ url(r'^parse$', views.parse, name='parse'), url(r'^reading$', views.reading, name='reading'), ]

19.777778

53

0.668539

25

178

4.76

0.52

0.067227

0

0.157303

178

8

54

22.25

0.793333

0

0.157303

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

82172be7941802c5ee1e9077dcf973559bec6791

119

py

Python

day_1/hackerrank_if_else.py

anishLearnsToCode/python-workshop-9

383d417f37c8779f17128c47eb5f4afb4411781b

[ "MIT" ]

3

2021-01-29T16:35:54.000Z

2021-11-28T15:42:55.000Z

day_1/hackerrank_if_else.py

anishLearnsToCode/python-workshop-9

383d417f37c8779f17128c47eb5f4afb4411781b

[ "MIT" ]

null

day_1/hackerrank_if_else.py

anishLearnsToCode/python-workshop-9

383d417f37c8779f17128c47eb5f4afb4411781b

[ "MIT" ]

1

2021-01-13T14:08:31.000Z

n = int(input()) if n % 2 == 1 or 6 <= n <= 20: print('Weird') elif 2 <= n <= 5 or n > 20: print('Not Weird')

17

30

0.462185

23

119

2.391304

0.608696

0.109091

0.290909

0

0.109756

0.310924

119

6

31

19.833333

0.560976

0

0.117647

0

1

0

false

0

0.4

1

0

null

0

1

0

1

0

null

0

3

82230b5ac6a6bd60d80028b577c98d831cc34d26

329

py

Python

cap-2/exercicio_1_modulo_1.py

igoradriano/manipulacao-dados-python-bd

e3e47f15529d98e5c5887ebbb93c48924fceb665

[ "MIT" ]

null

cap-2/exercicio_1_modulo_1.py

igoradriano/manipulacao-dados-python-bd

e3e47f15529d98e5c5887ebbb93c48924fceb665

[ "MIT" ]

null

cap-2/exercicio_1_modulo_1.py

igoradriano/manipulacao-dados-python-bd

e3e47f15529d98e5c5887ebbb93c48924fceb665

[ "MIT" ]

null

arquivo = open("exercicio_1.txt", "w") arquivo.write("\nTeste 3") arquivo.write("\nTeste 4") arquivo.close() arquivo = open("exercicio_1.txt", "a") arquivo.write("\nTeste 5") arquivo.write("\nTeste 6") arquivo.close() arquivo = open("exercicio_1.txt", "w") arquivo.write("\nTeste 7") arquivo.write("\nTeste 8") arquivo.close()

21.933333

38

0.693009

48

329

4.6875

0.333333

0.32

0.48

0.28

0.595556

0.382222

0

0.03

0.088146

329

14

39

23.5

0.72

0

0.416667

0

0.31003

0

1

0

false

0

null

1

0

null

0

3

8231786275267cf2d054b04cb9b1d06171482cd7

243

py

Python

src/blog/managers.py

amirpsd/drf_blog_api

58be081a450840114af021e7412e469fad90456d

[ "MIT" ]

33

2022-02-11T12:16:29.000Z

2022-03-26T15:08:47.000Z

src/blog/managers.py

amirpsd/django_blog_api

58be081a450840114af021e7412e469fad90456d

[ "MIT" ]

null

src/blog/managers.py

amirpsd/django_blog_api

58be081a450840114af021e7412e469fad90456d

[ "MIT" ]

5

2022-02-11T13:03:52.000Z

2022-03-28T16:04:32.000Z

from django.db.models import Manager # create manager class BlogManager(Manager): def publish(self): return self.filter(status='p') class CategoryManager(Manager): def active(self): return self.filter(status=True)

18.692308

39

0.699588

30

243

5.666667

0.633333

0.117647

0.164706

0.235294

0.305882

0

0.197531

243

12

40

20.25

0.871795

0.057613

0

0.004425

0

1

0.285714

false

0

0.142857

0.285714

1

0

null

0

1

0

null

0

1

0

1

0

3

8243ed7850499e35c23e937600f58b196b8b2307

2,454

py

Python

headliner/model/basic_model.py

audriusuzkuraitis/headliner

f915306fd80218949a6447aa915c93ef4b44fdd0

[ "MIT" ]

1

2021-01-05T16:26:28.000Z

headliner/model/model_basic.py

lucko515/headliner

ac2cef164a7fbad19b93501177cf25993cf6c588

[ "MIT" ]

null

headliner/model/model_basic.py

lucko515/headliner

ac2cef164a7fbad19b93501177cf25993cf6c588

[ "MIT" ]

null

from typing import Tuple import tensorflow as tf class Encoder(tf.keras.Model): def __init__(self, embedding_shape: Tuple[int, int], lstm_size=50, embedding_weights=None, embedding_trainable=True) -> None: super(Encoder, self).__init__() vocab_size, vec_dim = embedding_shape weights = None if embedding_weights is None else [embedding_weights] self.embedding = tf.keras.layers.Embedding(vocab_size, vec_dim, weights=weights, trainable=embedding_trainable) self.lstm = tf.keras.layers.LSTM(lstm_size, return_sequences=True, return_state=True, go_backwards=True) self.lstm_size = lstm_size def call(self, sequence: tf.Tensor, states: tf.Tensor) -> Tuple[tf.Tensor, tf.Tensor, tf.Tensor]: embed = self.embedding(sequence) output, state_h, state_c = self.lstm(embed, initial_state=states) return output, state_h, state_c def init_states(self, batch_size: int) -> Tuple[tf.Tensor, tf.Tensor]: return tf.zeros([batch_size, self.lstm_size]), tf.zeros([batch_size, self.lstm_size]) class Decoder(tf.keras.Model): def __init__(self, embedding_shape: Tuple[int, int], lstm_size=50, embedding_weights=None, embedding_trainable=True) -> None: super(Decoder, self).__init__() self.lstm_size = lstm_size vocab_size, vec_dim = embedding_shape weights = None if embedding_weights is None else [embedding_weights] self.embedding = tf.keras.layers.Embedding(vocab_size, vec_dim, weights=weights, trainable=embedding_trainable) self.lstm = tf.keras.layers.LSTM(lstm_size, return_sequences=True, return_state=True) self.dense = tf.keras.layers.Dense(vocab_size) def call(self, sequence: tf.Tensor, state: tf.Tensor) -> Tuple[tf.Tensor, tf.Tensor, tf.Tensor]: embed = self.embedding(sequence) lstm_out, state_h, state_c = self.lstm(embed, state) logits = self.dense(lstm_out) return logits, state_h, state_c

43.052632

112

0.577017

278

2,454

4.845324

0.18705

0.071269

0.048255

0.059391

0.799555

0.739421

0.614699

0

0.002449

0.334556

2,454

56

113

43.821429

0.822413

0

0.565217

0

1

0.108696

false

0

0.043478

0.021739

0.26087

0

null

0

1

0

1

0

null

0

3

41467b4919fb523e56e60f29cc674158531c7648

79

py

Python

py_portfolio_index/bin/lists/__init__.py

greenmtnboy/py-portfolio-index

99ea2619ae60bfdee2e9d4bbccfd7e4fac43b52f

[ "MIT" ]

1

2021-08-13T22:55:58.000Z

py_portfolio_index/bin/lists/__init__.py

ajmal017/py-portfolio-index

4966bb82fd7e99709492c004eccacf6194563f73

[ "MIT" ]

null

py_portfolio_index/bin/lists/__init__.py

ajmal017/py-portfolio-index

4966bb82fd7e99709492c004eccacf6194563f73

[ "MIT" ]

1

2021-08-13T22:55:49.000Z

from .inventory import StocklistInventory STOCK_LISTS = StocklistInventory()

15.8

41

0.835443

7

79

9.285714

0.857143

0

0.113924

79

4

42

19.75

0.928571

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

414ceba1dab80558e8117417627a3a172ef6b451

1,171

py

Python

Projects/TdorListToCsv/Report.py

annajayne/tdor-site

7fb2d6ce8afa571b34e4b41432b655798c6e252a

[ "MIT" ]

null

Projects/TdorListToCsv/Report.py

annajayne/tdor-site

7fb2d6ce8afa571b34e4b41432b655798c6e252a

[ "MIT" ]

2

2020-11-14T12:01:33.000Z

2020-11-14T12:08:44.000Z

Projects/TdorListToCsv/Report.py

annajayne/tdor-site

7fb2d6ce8afa571b34e4b41432b655798c6e252a

[ "MIT" ]

null

class Report: def __init__(self): self.set_age('') self.set_date('') self.set_cause('') self.set_location('') self.set_remarks('') self.set_source('') def clear(): self.data = [] def empty(self): return (len(self.name) == 0) def get_name(self): return self.name def set_name(self, name): self.name = name def get_age(self): return self.age def set_age(self, age): self.age = age def get_date(self): return self.date def set_date(self, date): self.date = date def get_location(self): return self.location def set_location(self, location): self.location = location def get_cause(self): return self.cause def set_cause(self, cause): self.cause = cause def get_remarks(self): return self.remarks def set_remarks(self, remarks): self.remarks = remarks def get_source(self): return self.source def set_source(self, source): self.source = source

18.015385

38

0.53544

140

1,171

4.307143

0.142857

0.13267

0.162521

0

0.001337

0.36123

1,171

64

39

18.296875

0.804813

0

1

0.425

false

0

0.2

0.65

0

null

0

null

0

1

0

1

0

3

416a6dd3c8f58ac1aed4ab986d35c46ae1cab248

865

py

Python

setup.py

svartalf/python-opus

a3c1d556d2772b5be659ddd08c033ddd4d566b3a

[ "BSD-3-Clause" ]

22

2015-01-12T21:18:41.000Z

2021-08-10T04:07:15.000Z

setup.py

svartalf/python-opus

a3c1d556d2772b5be659ddd08c033ddd4d566b3a

[ "BSD-3-Clause" ]

3

2015-12-21T08:14:39.000Z

2020-12-08T15:36:17.000Z

setup.py

svartalf/python-opus

a3c1d556d2772b5be659ddd08c033ddd4d566b3a

[ "BSD-3-Clause" ]

21

2015-01-02T22:18:53.000Z

2021-02-03T15:44:43.000Z

# -*- coding: utf-8 -*- from setuptools import setup setup( name='opus', version='0.0.1', author='SvartalF', author_email='self@svartalf.info', url='https://github.com/svartalf/python-opus', description='Python bindings to the libopus, IETF low-delay audio codec', packages=('opus', 'opus.api'), test_suite='tests', classifiers=( 'Development Status :: 1 - Planning', 'Intended Audience :: Developers', 'License :: OSI Approved :: BSD License', 'Operating System :: OS Independent', 'Programming Language :: Python', 'Programming Language :: Python :: 2.5', 'Programming Language :: Python :: 2.6', 'Programming Language :: Python :: 2.7', 'Topic :: Software Development :: Libraries', 'Topic :: Multimedia :: Sound/Audio :: Conversion', ), )

32.037037

77

0.602312

90

865

5.766667

0.711111

0.146435

0.192678

0.150289

0

0.016768

0.241619

865

26

78

33.269231

0.77439

0.024277

0

0.614014

0

1

0

true

0

0.043478

0

0.043478

0

null

0

1

0

1

0

null

0

1

0

3

418a275925658046d8c21c6fb10c3bcf3c2de729

982

py

Python

filter_plugins/core.py

DirkTheDaring/proxmox-fcos

b38c05a5d814ea4820e0b17b16dc2b8c212a650b

[ "BSD-3-Clause" ]

null

filter_plugins/core.py

DirkTheDaring/proxmox-fcos

b38c05a5d814ea4820e0b17b16dc2b8c212a650b

[ "BSD-3-Clause" ]

null

filter_plugins/core.py

DirkTheDaring/proxmox-fcos

b38c05a5d814ea4820e0b17b16dc2b8c212a650b

[ "BSD-3-Clause" ]

null

def filter_child_dictionary(dictionary, key, value): newdict = {} for child_name in dictionary: child = dictionary[child_name] if not key in child: continue if str(child[key]) != str(value): continue newdict[child_name] = child return newdict def filter_child_attr(dictionary, key, available): newdict = {} for child_name in dictionary: child = dictionary[child_name] keyfound = key in child if keyfound == available: newdict[child_name] = child return newdict def filter_child_attr_exists(dictionary, key): return filter_child_attr(dictionary, key, True) def filter_child_attr_exists_not(dictionary, key): return filter_child_attr(dictionary, key, False) class FilterModule(object): def filters(self): return { 'filter_child_dictionary': filter_child_dictionary, 'filter_child_attr_exists': filter_child_attr_exists, 'filter_child_attr_exists_not': filter_child_attr_exists_not }

27.277778

66

0.730143

126

982

5.380952

0.206349

0.19469

0.199115

0.185841

0.716814

0.547198

0.315634

0

0.189409

982

35

67

28.057143

0.851759

0

0.413793

0

0.076375

0

1

0.172414

false

0

0.103448

0.37931

0

null

0

1

0

null

0

1

0

3

418eeba56215ea28ab36563df70a1daa57be3996

3,233

py

Python

tests/fixtures/test_references_json/content_10_expected.py

elifesciences/elife-tools

ee345bf0e6703ef0f7e718355e85730abbdfd117

[ "MIT" ]

9

2015-04-16T08:13:31.000Z

2020-05-18T14:03:06.000Z

tests/fixtures/test_references_json/content_10_expected.py

elifesciences/elife-tools

ee345bf0e6703ef0f7e718355e85730abbdfd117

[ "MIT" ]

310

2015-02-11T00:30:09.000Z

2021-07-14T23:58:50.000Z

tests/fixtures/test_references_json/content_10_expected.py

elifesciences/elife-tools

ee345bf0e6703ef0f7e718355e85730abbdfd117

[ "MIT" ]

9

2015-02-04T01:21:28.000Z

2021-06-15T12:50:47.000Z

from collections import OrderedDict expected = [ OrderedDict( [ ("type", "unknown"), ("id", u"bib20"), ("date", u"1993"), ( "authors", [ OrderedDict( [ ("type", "person"), ( "name", OrderedDict( [ ("preferred", u"Elzinga SDJ"), ("index", u"Elzinga, SDJ"), ] ), ), ] ), OrderedDict( [ ("type", "person"), ( "name", OrderedDict( [ ("preferred", u"Bednarz AL"), ("index", u"Bednarz, AL"), ] ), ), ] ), OrderedDict( [ ("type", "person"), ( "name", OrderedDict( [ ("preferred", u"van Oosterum K"), ("index", u"van Oosterum, K"), ] ), ), ] ), OrderedDict( [ ("type", "person"), ( "name", OrderedDict( [ ("preferred", u"Dekker PJT"), ("index", u"Dekker, PJT"), ] ), ), ] ), OrderedDict( [ ("type", "person"), ( "name", OrderedDict( [ ("preferred", u"Grivell L"), ("index", u"Grivell, L"), ] ), ), ] ), ], ), ("title", u"Nucleic Acids Research"), ( "details", u"5328\u20135331, Nucleic Acids Research, 21, 10.1093/nar/21.23.5328", ), ] ) ]

35.141304

86

0.163316

101

3,233

5.227723

0.39604

0.170455

0.198864

0.236742

0.435606

0

0.042553

0.752861

3,233

91

87

35.527473

0.618273

0

0.422222

0

0.011111

0.119394

0.006805

0

1

0

false

0

0.011111

0

0.011111

0

null

0

1

0

1

0

null

0

3

41959fb1f1e972c7ddefbb767e3778a8565f0cd6

1,434

py

Python

orangecontrib/OasysWiser/widgets/optical_elements/ow_plane_mirror.py

aljosahafner/OasysWiser

1d4042102a5016d5d46d29af1cd17bf0c83b9b21

[ "MIT" ]

null

orangecontrib/OasysWiser/widgets/optical_elements/ow_plane_mirror.py

aljosahafner/OasysWiser

1d4042102a5016d5d46d29af1cd17bf0c83b9b21

[ "MIT" ]

2

2019-04-06T16:29:36.000Z

2019-04-06T16:31:33.000Z

orangecontrib/OasysWiser/widgets/optical_elements/ow_plane_mirror.py

aljosahafner/OasysWiser

1d4042102a5016d5d46d29af1cd17bf0c83b9b21

[ "MIT" ]

1

2020-03-31T10:14:47.000Z

import numpy from syned.widget.widget_decorator import WidgetDecorator from syned.beamline.shape import Plane from wiselib2 import Optics from wofrywise2.beamline.optical_elements.wise_plane_mirror import WisePlaneMirror from orangecontrib.wise2.widgets.gui.ow_optical_element import OWOpticalElement class OWPlaneMirror(OWOpticalElement, WidgetDecorator): name = "PlaneMirror" id = "PlaneMirror" description = "Plane Mirror" icon = "icons/plane_mirror.png" priority = 1 def after_change_workspace_units(self): super(OWPlaneMirror, self).after_change_workspace_units() def build_mirror_specific_gui(self, container_box): pass def get_inner_wise_optical_element(self): return Optics.MirrorPlane(L=self.length*self.workspace_units_to_m, AngleGrazing = numpy.deg2rad(self.alpha)) def get_optical_element(self, inner_wise_optical_element): return WisePlaneMirror(name= self.oe_name, plane_mirror=inner_wise_optical_element, position_directives=self.get_PositionDirectives()) def receive_specific_syned_data(self, optical_element): pass def check_syned_shape(self, optical_element): if not isinstance(optical_element._surface_shape, Plane): raise Exception("Syned Data not correct: Mirror Surface Shape is not Elliptical")

34.142857

93

0.725244

164

1,434

6.060976

0.457317

0.112676

0.04829

0.069417

0

0.004417

0.2106

1,434

41

94

34.97561

0.873675

0

0.071429

0

0.082345

0.015352

0

1

0.214286

false

0.071429

0.214286

0.071429

0.714286

0

null

0

null

0

1

0

1

0

1

0

3

41a785ef33b44eebce4a41fa62b8c3c1bb9f0755

658

py

Python

exercicios_mundo-I/ex004b.py

Lucas-Lourencao/ExerciciosPython

e43ce23dbddd126abb9ce6c02bd39dac3677856e

[ "MIT" ]

null

exercicios_mundo-I/ex004b.py

Lucas-Lourencao/ExerciciosPython

e43ce23dbddd126abb9ce6c02bd39dac3677856e

[ "MIT" ]

null

exercicios_mundo-I/ex004b.py

Lucas-Lourencao/ExerciciosPython

e43ce23dbddd126abb9ce6c02bd39dac3677856e

[ "MIT" ]

null

# Dissecando uma variável: # Exercício para testar tipos primitivos e informações sobre o que for digitado. a = input('Digite algo: ') print(type(a)) print('O valor digitado só tem espaços?', a.isspace()) print('O valor digitado é número?', a.isnumeric()) print('O valor digitado é alfanumérico?', a.isalnum()) print('O valor digitado está em minúsculo?', a.islower()) print('O valor digitado está em maiúsculo', a.isupper()) print('O valor digitado está capitalizado?', a.istitle()) print('O valor digitado pertence ao código ascii?', a.isascii()) print('O valor digitado é imprimível?', a.isprintable()) print('O valor digitado é um dígito?', a.isdigit())

47

80

0.731003

100

658

4.81

0.49

0.112266

0.205821

0.355509

0.318087

0.10395

0

0.12614

658

13

81

50.615385

0.836522

0.156535

0

0.557971

0

1

0

false

0

0.909091

0

null

0

1

0

null

0

1

0

3

68c6ad0fb0ff1aef97250832446bf2d3a3408d7b

2,723

py

Python

Project/FindMaxAverageDelayType.py

QinganZhao/Big-Data-Management-and-Analysis

08b68a8a77743f5dea779744dd2011543d92f38c

[ "MIT" ]

1

2020-10-13T10:48:45.000Z

Project/FindMaxAverageDelayType.py

QinganZhao/Big-Data-Management-and-Analysis

08b68a8a77743f5dea779744dd2011543d92f38c

[ "MIT" ]

null

Project/FindMaxAverageDelayType.py

QinganZhao/Big-Data-Management-and-Analysis

08b68a8a77743f5dea779744dd2011543d92f38c

[ "MIT" ]

1

2020-10-13T10:48:46.000Z

#!/usr/bin/python import sys def FindMaxAverageDelayType(carrier, weather, nas, security, late_aircraft): key = ['CARRIER_DELAY', 'WEATHER_DELAY', 'NAS_DELAY', 'SECURITY_DELAY', 'LATE_AIRCRAFT_DELAY'] value = [carrier, weather, nas, security, late_aircraft] max_val = max(value) max_key = key[value.index(max_val)] return (max_key, str(max_val)) for line in sys.stdin: line = line.strip() carrier, weather, nas, security, late_aircraft = line.split('\t') max_key = FindMaxAverageDelayType(float(carrier), float(weather), float(nas), float(security), float(late_aircraft))[0] max_val = FindMaxAverageDelayType(float(carrier), float(weather), float(nas), float(security), float(late_aircraft))[1] print('The delay category with the longest average delay is ' + max_key + '; the average delay time is ' + max_val + ' minutes.')

143.315789

187

0.228057

116

2,723

5.181034

0.344828

0.1198

0.084859

0.124792

0.467554

0.282862

0

0.002703

0.728241

2,723

18

188

151.277778

0.809459

0.005876

0

0.059524

0

null

0

0.058824

null

0.058824

0

null

0

1

0

1

0

null

0

1

0

3

68d2957f7301c3ffbedcb28519ed65a70b320032

483

py

Python

source/supervised/gaussian_process.py

ValentinCalomme/skratch

f234a9b95adfdb20d231d7f8c761ab1098733cb8

[ "MIT" ]

4

2017-10-27T07:23:34.000Z

2020-02-11T18:02:39.000Z

source/supervised/gaussian_process.py

ValentinCalomme/skratch

f234a9b95adfdb20d231d7f8c761ab1098733cb8

[ "MIT" ]

null

source/supervised/gaussian_process.py

ValentinCalomme/skratch

f234a9b95adfdb20d231d7f8c761ab1098733cb8

[ "MIT" ]

null

"""Implementation coming soon""" import numpy as np from utils.kernels import RBF, LinearKernel, PolynomialKernel from utils.optimization import GradientDescentOptimizer class GaussianProcessRegressor: def __init__(self, kernel=RBF(1.0), seed=0): self.kernel = kernel self.rnd = np.random.RandomState(seed) def fit(self, X, y): return self def predict(self, X): return None def predict_proba(self, X): return None

17.25

61

0.677019

59

483

5.457627

0.576271

0.046584

0.068323

0.093168

0

0.00813

0.236025

483

27

62

17.888889

0.864499

0.05383

0

0.153846

0

1

0.307692

false

0

0.230769

0.846154

0

null

0

null

0

1

0

1

0

3

68e135f8c698f904728788b7fdcbca1ace9c4596

555

py

Python

history.py

belajarqywok/BL-userExample

569722b3bae177dac735f7b8cf18860871ce5235

[ "MIT" ]

1

2021-09-24T11:59:29.000Z

history.py

belajarqywok/BL-userExample

569722b3bae177dac735f7b8cf18860871ce5235

[ "MIT" ]

null

history.py

belajarqywok/BL-userExample

569722b3bae177dac735f7b8cf18860871ce5235

[ "MIT" ]

null

#!/bin/env python3 import datetime class createUserHistory: def __init__(self,fileName,history): self.f=open(fileName,"a") self.History=history def create(self): self.f.writelines("date : "+datetime.datetime.now().strftime("%H")+"-"+datetime.datetime.now().strftime("%d")+"-"+datetime.datetime.now().strftime("%m")+"-"+datetime.datetime.now().strftime("%Y")+"\n" +"link : "+self.History+"\n" +"===========================================\n" ) self.f.close

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0

null

1

0

null

0

3

ec019ee0985ddac3614f1fdf276152cbd847efce

3,726

py

Python

tests/_strategies.py

orsinium-forks/json-syntax

a1a9eeb113f13ac62bdea6db9847d7d19658fc50

[ "MIT" ]

9

2019-02-08T05:59:11.000Z

2021-04-10T18:04:15.000Z

tests/_strategies.py

orsinium-forks/json-syntax

a1a9eeb113f13ac62bdea6db9847d7d19658fc50

[ "MIT" ]

7

2019-02-11T15:49:57.000Z

2020-12-09T08:37:07.000Z

tests/_strategies.py

orsinium-forks/json-syntax

a1a9eeb113f13ac62bdea6db9847d7d19658fc50

[ "MIT" ]

4

2019-02-05T18:24:40.000Z

2021-09-30T03:22:07.000Z

""" Some miscellany to keep the type_strategies module a bit more readable. """ from hypothesis import strategies as st import attr try: import dataclasses as dc except ImportError: dc = None from datetime import date from enum import IntEnum from keyword import iskeyword import os import typing MAX_FIELDS = 8 _max_cp = None if os.environ.get("UNICODE_NAMES") else 0x7F _any_char = st.characters(min_codepoint=1, max_codepoint=_max_cp) _ident_start = st.characters( whitelist_categories=["Lu", "Ll", "Lt", "Lm", "Lo", "Nl"], max_codepoint=_max_cp ) _ident_tail = st.characters( whitelist_categories=["Lu", "Ll", "Lt", "Lm", "Lo", "Nl", "Mn", "Mc", "Nd", "Pc"], whitelist_characters="_", max_codepoint=_max_cp, ) @st.composite def _idents(draw, lengths=st.integers(min_value=0, max_value=80)): chars = [draw(_ident_start)] chars.extend(draw(_ident_tail) for _ in range(draw(lengths))) chars = "".join(chars) if iskeyword(chars): chars += draw(_ident_tail) return chars def _make_enum(name, elems): # print(f'IntEnum(enum_{name}, {elems!r})') return IntEnum("enum_" + name, elems) idents = _idents() enums = st.builds( _make_enum, idents, st.lists(idents, min_size=1, max_size=MAX_FIELDS, unique=True) ) def fields_idents(types): return st.dictionaries( idents, types, dict_class=list, min_size=0, max_size=MAX_FIELDS ) class _Faux(attr.validators._InstanceOfValidator): def __call__(self, inst, attr, value): pass def attrs(types, frozen): def _make(name, fields, **kw): def _attrib(typ): # Add a bogus validator because from_type reads that, not `type` # Can't use the real one because of generic types! return attr.ib(type=typ, validator=_Faux(typ)) # print(f'attrs({name}, {fields}, **{kw})') return attr.make_class( "attrs_" + name, {field: _attrib(typ) for field, typ in fields}, frozen=frozen, **kw ) return st.builds(_make, idents, fields_idents(types), slots=st.booleans()) if dc is not None: def dataclasses(types, frozen): def _make(name, fields, order): # print(f'dataclass({name}, {fields}, frozen={frozen}, order={order}') return dc.make_dataclass( "dc_" + name, fields, frozen=frozen, eq=True, order=order ) return st.builds(_make, idents, fields_idents(types), order=st.booleans()) else: def dataclasses(types, frozen): return None try: _NamedTuple = typing.NamedTuple except AttributeError: def namedtuples(types): return None else: def namedtuples(types): def _make(name, fields): # print(f'namedtuple({name}, {fields})') return _NamedTuple("nt_" + name, fields) return st.builds(_make, idents, fields_idents(types)) def lists(types): return st.builds(lambda a: typing.List[a], types) def hmg_tuples(types): return st.builds(lambda a: typing.Tuple[a, ...], types) def sets(types): return st.builds(lambda a: typing.Set[a], types) def frozensets(types): return st.builds(lambda a: typing.FrozenSet[a], types) _dict_keys = atoms = st.one_of([st.sampled_from([int, str, date]), enums]) def dicts(val_types): return st.builds(lambda k, v: typing.Dict[k, v], _dict_keys, val_types) def prod_tuples(types): return st.builds( lambda a: typing.Tuple[tuple(a)], st.lists(types, min_size=1, max_size=MAX_FIELDS), ) def unions(types, max_size=None): return st.builds( lambda a: typing.Union[tuple(a)], st.lists(types, min_size=1, max_size=max_size) )

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null

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null

0

1

0

1

0

3

ec1d2d3db8b2ef70546ed8bc91f890f3b5fd3c92

1,686

py

Python

Ejercicio 4/CuentaBancaria.py

alexbalduz/EjerciciosPOO

550b69bc42d21e092482e0efc31a67e7212b9839

[ "Apache-2.0" ]

null

Ejercicio 4/CuentaBancaria.py

alexbalduz/EjerciciosPOO

550b69bc42d21e092482e0efc31a67e7212b9839

[ "Apache-2.0" ]

1

2021-11-14T23:17:50.000Z

Ejercicio 4/CuentaBancaria.py

alexbalduz/EjerciciosPOO

550b69bc42d21e092482e0efc31a67e7212b9839

[ "Apache-2.0" ]

null

class CuentaBancaria(): def __init__(self, ID, titular, fecha_apertura, numero_cuenta, saldo): self.ID = ID self.titular = titular self.fecha_apertura = fecha_apertura self.numero_cuenta = numero_cuenta self.saldo = saldo #Método set def setID(self, ID): self.ID = ID def settitular(self, titular): self.titular = titular def setfecha_apertura(self, fecha_apertura): self.fecha_apertura = fecha_apertura def setnumero_cuenta(self, numero_cuenta): self.numero_cuenta = numero_cuenta def setsaldo(self, saldo): self.saldo = saldo #Método get def getID(self): return self.ID def gettitular(self): return self.titular def getfecha_apertura(self): return self.fecha_apertura def getnumero_cuenta(self): return self.numero_cuenta def getsaldo(self): return self.saldo #Método para retirar dinero def retirar_dinero(self, dinero): if float(dinero) > self.getsaldo(): print('No hay suficiente dinero para retirar') else: dinero_final = (self.getsaldo()) - float(dinero) self.setsaldo(dinero_final) #Método para ingresar dinero def ingresar_dinero(self, dinero): dinero_final = (self.getsaldo()) + float(dinero) self.setsaldo(dinero_final) #Método para transferir dinero def transferir_dinero(self, dinero, cuenta): if float(dinero) > self.getsaldo(): print('No hay suficiente saldo para transferir') else: self.retirar_dinero(dinero) cuenta.ingresar_dinero(dinero)

27.639344

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5.396907

0.201031

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0.066858

0.042025

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null

0

null

0

1

0

1

0

1

0

3

ec2465c7064ddf1bc175ced63322860beb4d371e

36

py

Python

ciphey/iface/_fwd.py

emadfuel/Ciphey

323fe3aa5eac07a8c25354bdb19fe8a860c11958

[ "MIT" ]

9,908

2020-06-06T01:06:50.000Z

2022-03-31T21:22:57.000Z

ciphey/iface/_fwd.py

emadfuel/Ciphey

323fe3aa5eac07a8c25354bdb19fe8a860c11958

[ "MIT" ]

423

2020-05-30T11:44:37.000Z

2022-03-18T03:15:30.000Z

ciphey/iface/_fwd.py

emadfuel/Ciphey

323fe3aa5eac07a8c25354bdb19fe8a860c11958

[ "MIT" ]

714

2020-06-09T20:24:41.000Z

2022-03-29T15:28:53.000Z

registry = None config = type(None)

12

19

0.722222

5

36

5.2

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1

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null

0

1

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null

0

3

ec251ef94ee94ee4fea6354fcaac3fc04e7bc32a

1,556

py

Python

Python/Programming-in-Python/3. Building web-services in Python/Week1/Lecture/regular.py

EldanGS/Engineering

beff426dfeaf71a5cb32b74be81df9540ebece4a

[ "MIT" ]

null

Python/Programming-in-Python/3. Building web-services in Python/Week1/Lecture/regular.py

EldanGS/Engineering

beff426dfeaf71a5cb32b74be81df9540ebece4a

[ "MIT" ]

1

2019-11-03T10:28:33.000Z

2019-12-29T17:34:46.000Z

Python/Programming-in-Python/3. Building web-services in Python/Week1/Lecture/regular.py

EldanGS/Engineering

beff426dfeaf71a5cb32b74be81df9540ebece4a

[ "MIT" ]

null

import re # Найти все действительные числа, например: -100; 21.4; +5.3; -1.5; 0 # res = re.findall(r"[-+]?\d+(?:\.\d+)?", test_str) # Проверить, что строка это серийный номер вида 00XXX-XXXXX-XXXXX-XXXXX, где X - шестнадцатиричная цифра # if re.match(r"^00[\da-f]{3}(?:-[\da-f]{5}){3}$", serial_str, re.IGNORECASE): # Проверить, что строка является корректным IPv4 адресом # if re.match(r"^((25[0-5]|2[0-4]\d|1\d\d|[1-9]\d|\d)(\.|$)){4}(?<!\.)$", ip_str): # Проверить, что логин содержит от 8 до 16 латинских букв, цифр и _ # if re.match(r"^\w{8,16}$", login): # Проверить, что пароль состоит не менее чем из 8 символов без пробелов. Пароль должен содержать хотя бы одну: строчную букву, заглавную, цифру # if re.match(r"^(?=\S*?[A-Z])(?=\S*?[a-z])(?=\S*?[0-9])\S{8,}$", password): # Переформатировать код, убрав лишние пробелы между def, именем функции и ( # Например: def myFunc (x, y): => def myFunc(x, y): # re.sub(r'def\s+(\w+)\s*\(', r'def \1(', code) # Заменить все "camel_case" на "сamelCase" # Например: my_function_name, peer__2__peer => myFunctionName, peer2Peer # re.sub('_+([a-zA-Z\d])', lambda x: x.group(1).upper(), code.lower()) """ Полезные ссылки: Документация Python: Модуль re https://docs.python.org/3/library/re.html Хабрахабр: Регулярные выражения в Python от простого к сложному https://habr.com/en/post/349860/ regex101.com: Проверка регулярных выражений online https://regex101.com Hackerrank: Практика по regexp https://www.hackerrank.com/domains/regex Книга: Фридл Дж. Регулярные выражения 3-е издание """

36.186047

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0.034749

0.03861

0

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0.127892

1,556

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36.186047

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null

0

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0

1

0

1

0

3

ec2799085ac18c8cf9d0b18092f5f0ab41246c34

4,167

py

Python

omegasensor/bus_i2c.py

bdinhomega/omega-smartsensor-python

24f88b6246ce69962a2622fd70704f22f2ff76bd

[ "MIT" ]

null

omegasensor/bus_i2c.py

bdinhomega/omega-smartsensor-python

24f88b6246ce69962a2622fd70704f22f2ff76bd

[ "MIT" ]

3

2020-07-02T21:47:15.000Z

2020-12-20T13:09:52.000Z

omegasensor/bus_i2c.py

bdinhomega/omega-smartsensor-python

24f88b6246ce69962a2622fd70704f22f2ff76bd

[ "MIT" ]

1

2019-07-01T22:46:03.000Z

import smbus import struct from .bus import Bus, bus_logger SMARTSENSOR_I2C_ADDR = 0x68 class BusI2C(Bus): def __init__(self, bus_id, dev_addr): """ Initialize Bus I2C with bus id for device address on the bus :param bus_id: bus id (eg:1, 2, ...) :param dev_addr: device address """ super().__init__(Bus.Type.I2C, dev_addr) self.bus = smbus.SMBus(bus_id) def read_register(self, reg_addr, bytes_cnt): """ Read from i2c register address with bytes count :param reg_addr: i2c register address :param bytes_cnt: bytes count :return: bytes """ data = self.read_bytes(reg_addr, bytes_cnt) bus_logger.debug("Read 0x%04x <= %s" % (reg_addr, data)) return data def write_register(self, reg_addr, data): """ Write to i2c register address with provided data :param reg_addr: i2c register address :param data: data bytes in list """ assert(type(data) is list) bus_logger.debug("Write 0x%04x => %s" % (reg_addr, data)) self.write_bytes(reg_addr, data) def read_byte(self, reg_addr): """ Read a byte from i2c register address :param reg_addr: i2c register address :return: byte data """ data = self.bus.read_byte(reg_addr) return data def read_float(self, reg_addr): """ Read a float from i2c register address :param reg_addr: i2c register address :return: float data """ data = self.bus.read_i2c_block_data(self.dev_addr, reg_addr, 4) value, = struct.unpack('>f', bytearray(data)) return value def read_uint32(self, reg_addr): """ Read uint32 from i2c register address :param reg_addr: i2c register address :return: int data """ data = self.bus.read_i2c_block_data(self.dev_addr, reg_addr, 4) value, = struct.unpack('>I', bytearray(data)) return value def read_uint16(self, reg_addr): """ Read uint16 from i2c register address :param reg_addr: i2c register address :return: int data """ data = self.bus.read_i2c_block_data(self.dev_addr, reg_addr, 2) value, = struct.unpack('>H', bytearray(data)) return value def read_bytes(self, reg_addr, cnt): """ Read bytes with count from i2c register address :param reg_addr: i2c register address :param cnt: bytes count :return: bytes """ data = self.bus.read_i2c_block_data(self.dev_addr, reg_addr, cnt) return data def write_byte(self, reg_addr, data): """ Write bytes to i2c register address :param reg_addr: i2c register address :param data: bytes """ self.bus.write_byte(reg_addr, data) def write_float(self, reg_addr, value: float): """ Write float value to i2c register address :param reg_addr: i2c register address :param value: float value """ data = struct.pack('>f', value) self.bus.write_block_data(self.dev_addr, reg_addr, data) def write_uint32(self, reg_addr, value: int): """ Write uint32 value to i2c register address :param reg_addr: i2c register address :param value: int value """ data = struct.pack(">I", value) self.bus.write_block_data(self.dev_addr, reg_addr, data) def write_uint16(self, reg_addr, value: int): """ Write uint16 value to i2c register address :param reg_addr: i2c register address :param value: int value """ data = struct.pack(">H", value) self.bus.write_block_data(self.dev_addr, reg_addr, data) def write_bytes(self, reg_addr, data: bytearray): """ Write bytes to i2c register address :param reg_addr: i2c register address :param data: bytes """ self.bus.write_i2c_block_data(self.dev_addr, reg_addr, data)

31.80916

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0.464

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0.310775

4,167

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0

null

0

1

0

null

0

1

0

3

ec38005d270c596c400c802b6093e6743e25eb9c

152

py

Python

python/ch_07_filter.py

simonmonk/raspberrypi_cookbook_ed4

dc320dfae4252f70c812af1dd7739d13d09615c1

[ "MIT" ]

7

2022-03-19T18:53:39.000Z

2022-03-22T13:41:30.000Z

python/ch_07_filter.py

simonmonk/raspberrypi_cookbook_ed4

dc320dfae4252f70c812af1dd7739d13d09615c1

[ "MIT" ]

null

python/ch_07_filter.py

simonmonk/raspberrypi_cookbook_ed4

dc320dfae4252f70c812af1dd7739d13d09615c1

[ "MIT" ]

null

new_list = [] people = ['agnes', 'andrew','jane','peter'] for person in people: if person[0] == 'a': new_list.append(person) print(new_list)

25.333333

43

0.618421

22

152

4.136364

0.681818

0.230769

0

0.008065

0.184211

152

6

44

25.333333

0.725806

0

0.137255

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1

0

null

1

0

1

0

null

0

3

ec38265953ceab4d1b85721c4f30a8f312831d23

690

py

Python

examples/session4/snow.py

futurice/PythonInBrowser

066ab28ffad265efc7968b87f33dab2c68216d9d

[ "MIT" ]

4

2015-12-08T19:34:49.000Z

2019-09-08T22:11:05.000Z

examples/session4/snow.py

futurice/PythonInBrowser

066ab28ffad265efc7968b87f33dab2c68216d9d

[ "MIT" ]

18

2016-10-14T13:48:39.000Z

2019-10-11T12:14:21.000Z

examples/session4/snow.py

futurice/PythonInBrowser

066ab28ffad265efc7968b87f33dab2c68216d9d

[ "MIT" ]

4

2015-11-18T15:18:43.000Z

2018-03-02T09:36:23.000Z

# Let's draw snowflakes ##### INFO ##### # Click run to see what happens when function letThereBeSnow is called import winter winter.letThereBeSnow(20) ##### Exercise ##### # In the beginning we import winter. To see what is in winter go to Modules and open Winter. # You can find Modules under Exercises. Read the code there. # 1. Write a function that draws snowflake of your design # 2. Write a function that draws snowflakes x times, where x is a given parameter # 3. Can you make the location random to your snowflake? # 4. Can you make the lenght of the side random to your snowflake? # 5. Design your winter view and make other figures and use them the same way as snowflakes

32.857143

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0.743478

115

690

4.46087

0.582609

0.019493

0.035088

0.070175

0.089669

0

0.012545

0.191304

690

20

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0

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true

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null

0

1

0

1

0

3

ec5813245cf0a9c08a1911e4c7e2f24ff5efcb2d

2,586

py

Python

PythonTricks/ch03_03.py

eroicaleo/LearningPython

297d46eddce6e43ce0c160d2660dff5f5d616800

[ "MIT" ]

1

2020-10-12T13:33:29.000Z

PythonTricks/ch03_03.py

eroicaleo/LearningPython

297d46eddce6e43ce0c160d2660dff5f5d616800

[ "MIT" ]

null

PythonTricks/ch03_03.py

eroicaleo/LearningPython

297d46eddce6e43ce0c160d2660dff5f5d616800

[ "MIT" ]

1

2016-11-09T07:28:45.000Z

#!/usr/bin/env python def null_decorator(func): return func null_decorator(print)('Hello decorator!') def greet(): return 'Hello!' print(null_decorator(greet)()) print('greet:', greet) print('null_decorator(greet):', null_decorator(greet)) def uppercase(func): def wrapper(): original_result = func() modified_result = original_result.upper() return modified_result return wrapper @uppercase def greet2(): return 'Hello!' print(greet2()) print('greet2:', greet2) print('uppercase(greet2): ', uppercase(greet2)) print('################################################################################') print('## Applying Multiple Decorators to a Function') print('################################################################################') def strong(func): def wrapper(): return '' + func() + '' return wrapper def emphasize(func): def wrapper(): return '' + func() + '' return wrapper @strong @emphasize def greet3(): return 'Hello!' print(greet3()) print('################################################################################') print('## Decorating Functions That Accept Arguments') print('################################################################################') def trace(func): def wrapper(*args, **kwargs): print(f'TRACE: calling {func.__name__}() ' f'with {args}, {kwargs}') original_result = func(*args, **kwargs) print(f'TRACE: {func.__name__}() ' f'returned {original_result!r}') return original_result return wrapper @trace def say(name, line): return f'{name}: {line}' print(say('Jane', 'Hello, World!')) print('################################################################################') print('## How to Write “Debuggable” Decorators') print('################################################################################') import functools def uppercase(func): @functools.wraps(func) def wrapper(): return func().upper() return wrapper @uppercase def greet(): """Return a frendly greeting.""" return 'Hello!' print('With functools.wraps') print('greet.__name__:', greet.__name__) print('greet.__doc__:', greet.__doc__) def uppercase(func): def wrapper(): return func().upper() return wrapper @uppercase def greet(): """Return a frendly greeting.""" return 'Hello!' print('Without functools.wraps') print('greet.__name__:', greet.__name__) print('greet.__doc__:', greet.__doc__)

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0.064865

0.061776

0.301158

0.239382

0

0.003683

0.160093

2,586

108

90

23.944444

0.592541

0.028616

0

0.480519

0

0.389444

0.20072

0

1

0.246753

false

0

0.012987

0.116883

0.506494

0.337662

0

null

0

null

0

1

0

1

0

3

6b67b773888b707398601510246c08ee287f8088

127

py

Python

test/files/template-engine/custom-delimiter.py

AlexCortinas/spl-js-engine

c7931a5024b9f096ed283daa40e09d6239c9ae21

[ "MIT" ]

1

2021-12-17T14:43:36.000Z

test/files/template-engine/custom-delimiter.py

AlexCortinas/spl-js-engine

c7931a5024b9f096ed283daa40e09d6239c9ae21

[ "MIT" ]

1

2020-11-20T09:24:30.000Z

test/files/template-engine/custom-delimiter.py

AlexCortinas/spl-js-engine

c7931a5024b9f096ed283daa40e09d6239c9ae21

[ "MIT" ]

null

#% if (feature.ask) { %# name = raw_input('What is your name?\n') #% } else { %# name = 'alex' #% } %# print 'Hi, %s.' % name

15.875

40

0.503937

18

127

3.5

0.833333

0

0.220472

127

7

41

18.142857

0.636364

0.307087

0

0.378049

0

null

0

null

0.333333

1

0

null

0

1

0

null

0

1

0

3

6b6b3ef1779ee01919d94b36dadaa2a17af628cb

750

py

Python

pac/date_time_op.py

prabhatkumarsagar/Ok-Computer

76d8a60d31a30d35e6e8b78901b817913045fbf3

[ "MIT" ]

2

2020-10-18T06:45:54.000Z

2020-11-07T07:35:52.000Z

pac/date_time_op.py

prabhatkumarsagar/Python-Desktop-Assistant

76d8a60d31a30d35e6e8b78901b817913045fbf3

[ "MIT" ]

9

2021-09-03T12:11:19.000Z

2021-09-24T23:10:19.000Z

pac/date_time_op.py

prabhatkumarsagar/Python-Desktop-Assistant

76d8a60d31a30d35e6e8b78901b817913045fbf3

[ "MIT" ]

null

import datetime import time as samay try: from pac import voice_io except ModuleNotFoundError: import voice_io def date(): x = datetime.datetime.now().strftime("%d/%m/%Y") voice_io.show(f"Today's date is {x} (DD/MM/YYYY)") def time(): #x=datetime.datetime.now().strftime("%H:%M:%S") localtime = samay.localtime() x = samay.strftime("%I:%M:%S %p", localtime) voice_io.show(f"The current time is {x}") def year(): x=datetime.datetime.now().strftime("%Y") voice_io.show(f"The current year is {x}") def month(): x=datetime.datetime.now().strftime("%B") voice_io.show(f"The current month is {x}") def day(): x=datetime.datetime.now().strftime("%A") voice_io.show(f"Today it is a {x}")

25

55

0.636

120

750

3.916667

0.333333

0.104255

0.180851

0.212766

0.514894

0.140426

0

0.18

750

29

56

25.862069

0.764228

0.061333

0

0.206009

0

1

0.227273

false

0

0.181818

0

0.409091

0

null

0

1

0

null

0

1

0

3

6b7064d8c56be0af679f7806003a58d6d6808dfb

199

py

Python

try_except.py

purva-saxena/Python-programming

9458ddca9fc890eeb1fb3a16ceed74cedfcb116d

[ "MIT" ]

14

2020-09-29T07:29:33.000Z

2020-11-03T04:26:39.000Z

try_except.py

purva-saxena/Python-programming

9458ddca9fc890eeb1fb3a16ceed74cedfcb116d

[ "MIT" ]

4

2020-10-23T18:10:50.000Z

2020-10-29T18:39:20.000Z

try_except.py

purva-saxena/Python-programming

9458ddca9fc890eeb1fb3a16ceed74cedfcb116d

[ "MIT" ]

5

2020-10-15T23:49:29.000Z

2020-10-28T20:16:42.000Z

try: num1 = int(input("TELL ME YOUR AGE\n")) num2 = int(input("TELL ME YOUR name\n")) print(num1 + num2) # print(num2) except Exception as dfdfe: print(dfdfe) print("HELLO\n")

16.583333

44

0.60804

31

199

3.903226

0.548387

0.132231

0.198347

0.231405

0.297521

0

0.032895

0.236181

199

11

45

18.090909

0.763158

0.055276

0

0.237838

0

1

0

false

0

0.428571

0

null

0

1

0

null

0

1

0

3

6b7c3eb5e8f22d85220817d66b3c94157606b9f8

157

py

Python

reference/hello.py

philanaaurelia/ucsb-gradescope-diff-based-testing

b05f81eb772f187e3ac83f1c3cc98dcb367fed30

[ "MIT" ]

2

2018-03-29T22:36:37.000Z

2018-03-30T04:08:40.000Z

reference/hello.py

project-anacapa/gradescope-diff-engine

b6b1c36d5508dc675657c5219128ebd65042ce82

[ "MIT" ]

null

reference/hello.py

project-anacapa/gradescope-diff-engine

b6b1c36d5508dc675657c5219128ebd65042ce82

[ "MIT" ]

6

2018-08-16T20:35:38.000Z

2021-09-29T06:23:09.000Z

import sys print("Hello World on Stdout") print('spam on stderr', file=sys.stderr) with open('myfile.out', 'w') as out: out.write("Hello myfile.out")

17.444444

40

0.681529

26

157

4.115385

0.653846

0.168224

0

0.152866

157

8

41

19.625

0.804511

0

0.397436

0

1

0

true

0

0.2

0

0.2

0.4

1

0

null

0

1

0

null

0

1

0

3

6b990ee78718d71db1770ff81ce43c843008e8ed

1,473

py

Python

tests/__init__.py

AndreGosselink/binderfinder

3704b62c2d6ad8825a20ddf86dbd80c3c82b4a12

[ "BSD-4-Clause" ]

null

tests/__init__.py

AndreGosselink/binderfinder

3704b62c2d6ad8825a20ddf86dbd80c3c82b4a12

[ "BSD-4-Clause" ]

null

tests/__init__.py

AndreGosselink/binderfinder

3704b62c2d6ad8825a20ddf86dbd80c3c82b4a12

[ "BSD-4-Clause" ]

null

import numpy as np import os def get_params(kw): param_dict = dict(pca_min=dict(filename=os.path.join('data', 'mock_data_pca_testcases.csv'), annotate=False, normalize=True, covplot=False, portions=False, ),) return param_dict[kw] def get_testdata(): ret = np.array([[7.7, 5.0, 9.1, -7.7,2.2,-0.8,-0.67], [8.1,-1.9, 7.4, -8.1,2.3, 2.4, 1.76], [8.0,-2.2, 9.1, -7.8,2.5, 0.3, 1.77], [8.3, 2.8, 9.0, -9.9,2.4,-0.0, 1.52], [8.3,-4.7, 9.1, -8.7,2.0, 0.4, 0.01], [9.1, 0.4, 9.6, -9.5,2.2, 1.9, 0.24], [9.3,-4.4,10.2, -9.7,2.3, 5.3, 3.73], [9.1, 3.9,10.3, -8.5,2.8, 2.5, 3.14], [9.2, 1.0, 9.9, -9.5,2.2, 1.9, 2.06], [9.3, 2.1,10.8, -8.6,2.3,-2.8,-0.02], [9.2, 1.8, 9.2, -8.9,3.5, 1.2, 3.09], [9.6,-3.1,10.3,-10.6,2.6, 0.6, 0.77], [9.3,-1.2, 8.9, -9.0,3.9, 4.0, 2.07], [9.9,-4.6,10.8,-11.7,2.5, 5.1, 3.82], [9.5, 2.7, 9.2,-10.0,2.3, 0.8, 1.85], [9.3,-3.5, 9.7, -9.0,2.6, 3.9, 2.88], [9.8, 2.6, 9.7,-10.4,2.5, 5.6, 4.00],]) return ret.T

44.636364

97

0.325187

285

1,473

1.652632

0.207018

0.029724

0.019108

0.016985

0.025478

0

0.320778

0.441276

1,473

32

98

46.03125

0.251519

0

0.021513

0.018737

0

1

0.068966

false

0

0.068966

0

0.206897

0

1

null

0

1

0

1

0

null

0

3

6bcbb3e5ea67ecd5b0a61799f0e99ccabcf98ba1

4,176

py

Python

plot/spatial_distribution.py

stanford-policylab/surveilling-surveillance

bbb9a147927a6342eecfe07ffa756b3acdb63f35

[ "MIT" ]

8

2021-05-21T03:38:52.000Z

2021-11-21T08:32:41.000Z

plot/spatial_distribution.py

stanford-policylab/surveilling-surveillance

bbb9a147927a6342eecfe07ffa756b3acdb63f35

[ "MIT" ]

null

plot/spatial_distribution.py

stanford-policylab/surveilling-surveillance

bbb9a147927a6342eecfe07ffa756b3acdb63f35

[ "MIT" ]

1

2021-06-13T21:49:14.000Z

from util import constants as C import osmnx as ox import pandas as pd import pickle as pkl from tqdm import tqdm from matplotlib import pyplot as plt import seaborn as sb sb.set() def plot_samples( meta_file_path="/home/haosheng/dataset/camera/deployment/verified_0425.csv"): data = pd.read_csv(meta_file_path) for city, place in list(C.CITIES.items()): with open(f"/home/haosheng/dataset/camera/shape/graph/{city}.pkl", "rb") as f: G = pkl.load(f) ox.plot.plot_graph(G, figsize=(12, 12), bgcolor='white', node_color='#696969', edge_color="#A9A9A9", edge_linewidth=0.8, node_size=0, edge_alpha=0.5, save=False, show=False) sample = data.query(f'city == "{city}"') plt.scatter( sample.lon_anchor, sample.lat_anchor, s=0.2, c='blue', alpha=1) plt.tight_layout() plt.savefig(f"figures/samples_{city}.png") print(f"Save figure to [figures/samples_{city}.png]") def plot_prepost( meta_file_path="/home/haosheng/dataset/camera/deployment/verified_prepost_0425.csv"): data = pd.read_csv(meta_file_path) for city, place in list(C.CITIES.items())[:10]: with open(f"/home/haosheng/dataset/camera/shape/graph/{city}.pkl", "rb") as f: G = pkl.load(f) ox.plot.plot_graph(G, figsize=(12, 12), bgcolor='white', node_color='#696969', edge_color="#A9A9A9", edge_linewidth=0.8, node_size=0, edge_alpha=0.5, save=False, show=False) print("Generating the plot .. ") pre = data.query( f'camera_count > 0 and split == "pre" and city == "{city}"') post = data.query( f'camera_count > 0 and split == "post" and city == "{city}"') plt.scatter( pre.lon_anchor, pre.lat_anchor, s=150, facecolors='none', edgecolors='red', linewidth=2.0, marker='o') plt.scatter( post.lon_anchor, post.lat_anchor, s=120, c='black', marker='x') plt.tight_layout() plt.savefig(f"figures/prepost_spatial_distribution_{city}.png") print( f"Save figure to [figures/prepost_spatial_distribution_{city}.png]") def plot_post( meta_file_path="/home/haosheng/dataset/camera/deployment/verified_0425.csv"): data = pd.read_csv(meta_file_path) for city, place in C.CITIES.items(): with open(f"/home/haosheng/dataset/camera/shape/graph/{city}.pkl", "rb") as f: G = pkl.load(f) ox.plot.plot_graph(G, figsize=(12, 12), bgcolor='white', node_color='#696969', edge_color="#A9A9A9", edge_linewidth=0.8, node_size=0, edge_alpha=0.5, save=False, show=False) print("Generating the plot .. ") pre = data.query(f'camera_count > 0 and city == "{city}"') post = data.query(f'camera_count > 0 and city == "{city}"') plt.scatter( pre.lon_anchor, pre.lat_anchor, color='red', #color='#BE0000', s=30, linewidth=2.0, marker='o', alpha=1) plt.tight_layout() plt.savefig(f"figures/post_spatial_distribution_{city}.png") print(f"Save figure to [figures/post_spatial_distribution_{city}.png]") def plot_spatial_distribution(): plot_samples() plot_prepost() plot_post()

33.142857

93

0.494013

473

4,176

4.205074

0.230444

0.024133

0.036199

0.075415

0.778281

0.760181

0.715938

0.699849

0.678733

0.612871

0

0.036036

0.388649

4,176

125

94

33.408

0.743047

0.003592

0

0.542056

0

0.230103

0.138976

0

1

0.037383

false

0

0.065421

0

0.102804

0.046729

0

null

0

1

0

1

0

null

0

3

6bd10a1009a7a9276dfac9b6f1302d44fec959de

1,051

py

Python

core/migrations/0057_auto_20210624_1451.py

CrownKira/digitalace-backend

9489b3dc4b856688360b60a7dca040c945faab74

[ "MIT" ]

1

2021-05-28T05:22:54.000Z

core/migrations/0057_auto_20210624_1451.py

CrownKira/digitalace-backend

9489b3dc4b856688360b60a7dca040c945faab74

[ "MIT" ]

3

2021-05-31T15:44:14.000Z

2021-06-29T07:48:13.000Z

core/migrations/0057_auto_20210624_1451.py

CrownKira/digitalace-backend

9489b3dc4b856688360b60a7dca040c945faab74

[ "MIT" ]

1

2021-05-30T07:42:54.000Z

# Generated by Django 3.2.3 on 2021-06-24 14:51 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0056_auto_20210624_1401'), ] operations = [ migrations.AddField( model_name='invoice', name='reference', field=models.CharField(default=0, max_length=255), preserve_default=False, ), migrations.AddField( model_name='purchaseorder', name='reference', field=models.CharField(default=0, max_length=255), preserve_default=False, ), migrations.AddField( model_name='receive', name='reference', field=models.CharField(default=0, max_length=255), preserve_default=False, ), migrations.AddField( model_name='salesorder', name='reference', field=models.CharField(default=0, max_length=255), preserve_default=False, ), ]

27.657895

62

0.569933

101

1,051

5.782178

0.415842

0.123288

0.157534

0.184932

0.638699

0

0.065919

0.321598

1,051

37

63

28.405405

0.753156

0.042816

0

0.645161

1

0

0.099602

0.022908

0

1

0

false

0

0.032258

0

0.129032

0

null

0

1

0

1

0

1

0

null

0

3

6be5641617f2cf5dcb13098a8d30b84114fa57cb

155

py

Python

portfolio/urls.py

samshultz/techbitsdata

753309cbfee7bfa9a08804786f29b37f2b058436

[ "BSD-3-Clause" ]

null

portfolio/urls.py

samshultz/techbitsdata

753309cbfee7bfa9a08804786f29b37f2b058436

[ "BSD-3-Clause" ]

null

portfolio/urls.py

samshultz/techbitsdata

753309cbfee7bfa9a08804786f29b37f2b058436

[ "BSD-3-Clause" ]

null

from django.urls import path from . import views app_name = 'portfolio' urlpatterns = [ path("", views.ProjectListView.as_view(), name="projects") ]

17.222222

62

0.709677

19

155

5.684211

0.736842

0

0.154839

155

9

63

17.222222

0.824427

0

0.108974

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

6bf12f27a490cd0034942b4de0cc648c84a98a6b

201

py

Python

hello.py

jinguangzhu/the_first_python

d9d035b44652a4cd6ecd1834dd9930d1c78bf360

[ "Apache-2.0" ]

null

hello.py

jinguangzhu/the_first_python

d9d035b44652a4cd6ecd1834dd9930d1c78bf360

[ "Apache-2.0" ]

null

hello.py

jinguangzhu/the_first_python

d9d035b44652a4cd6ecd1834dd9930d1c78bf360

[ "Apache-2.0" ]

3

2018-06-09T01:07:45.000Z

2018-08-06T12:41:06.000Z

print("first") print("JinGuangzhu is a fool") print("To see a world in a grain of sand. And a heaven in a wild flower Hold infinity in the palm of your hand. And eternity in an hour") print('test')

33.5

72

0.721393

39

201

3.717949

0.692308

0.041379

0

0.189055

201

5

73

40.2

0.889571

0

0.149254

0

null

0

null

0.8

0

null

0

1

0

null

0

1

0

1

0

3

d41926e6c8adf329f8c0dcf3515fc9f0685e0bc6

386

py

Python

erpnext_support/patches/delete_property_setter_doc.py

manuthu/test-package

906a2a3ce7878d81a01149a60fb06e07400e6f47

[ "MIT" ]

null

erpnext_support/patches/delete_property_setter_doc.py

manuthu/test-package

906a2a3ce7878d81a01149a60fb06e07400e6f47

[ "MIT" ]

null

erpnext_support/patches/delete_property_setter_doc.py

manuthu/test-package

906a2a3ce7878d81a01149a60fb06e07400e6f47

[ "MIT" ]

null

import frappe def execute(): # Delete Property Setter for issue_type as it used to be synced and updated. if frappe.db.exists("Property Setter", {"doc_type": "ERPNext Support Issue", "field_name": "issue_type"}): frappe.db.sql("""delete from `tabProperty Setter` where `tabProperty Setter`.doc_type='ERPNext Support Issue' and `tabProperty Setter`.field_name='issue_type'""")

48.25

107

0.743523

55

386

5.090909

0.545455

0.096429

0.092857

0.142857

0.228571

0

0.126943

386

8

108

48.25

0.830861

0.19171

0

0.678457

0.180064

0

1

0.166667

true

0

0.166667

0

0.333333

0

null

0

1

0

1

0

null

0

1

0

3

d44f823d72b45a0253c1616439d00a1746c1023f

1,183

py

Python

chia/pools/custom_pool_api.py

littlechare/keepool-chia-blockchain

87542572b232ccada9e5446a764979b9df8e5233

[ "Apache-2.0" ]

1

2021-06-30T13:09:31.000Z

chia/pools/custom_pool_api.py

littlechare/keepool-chia-blockchain

87542572b232ccada9e5446a764979b9df8e5233

[ "Apache-2.0" ]

26

2021-07-20T12:04:35.000Z

2022-03-29T12:10:06.000Z

chia/pools/custom_pool_api.py

littlechare/keepool-chia-blockchain

87542572b232ccada9e5446a764979b9df8e5233

[ "Apache-2.0" ]

null

from chia.pools.pool_config import load_pool_config, PoolWalletConfig from chia.util.byte_types import hexstr_to_bytes from blspy import G1Element from pathlib import Path from typing import List def custom_load_pool_config(root_path: Path) -> List[PoolWalletConfig]: ret_list = [] config = PoolWalletConfig(hexstr_to_bytes('ae4ef3b9bfe68949691281a015a9c16630fc8f66d48c19ca548fb80768791afa'), 'https://www.keepool.net/app/pool', 'c2b08e41d766da4116e388357ed957d04ad754623a915f3fd65188a8746cf3e8', hexstr_to_bytes('344587cf06a39db471d2cc027504e8688a0a67cce961253500c956c73603fd58'), hexstr_to_bytes('2cf24dba5fb0a30e26e83b2ac5b9e29e1b161e5c1fa7425e73043362938b9824'), G1Element.from_bytes(hexstr_to_bytes('84c3fcf9d5581c1ddc702cb0f3b4a06043303b334dd993ab42b2c320ebfa98e5ce558448615b3f69638ba92cf7f43da5')), G1Element.from_bytes(hexstr_to_bytes('970e181ae45435ae696508a78012dc80548c334cf29676ea6ade7049eb9d2b9579cc30cb44c3fd68d35a250cfbc69e29'))) ret_list.append(config) return ret_list

62.263158

168

0.743026

85

1,183

10.047059

0.435294

0.056206

0.091335

0.056206

0.0726

0

0.313559

0.202029

1,183

18

169

65.722222

0.591102

0

0.406091

0.379019

0

1

0.0625

false

0

0.3125

0

0.4375

0

1

null

0

1

0

null

0

1

0

3

d4710895ea31d27e437d24cfe00330df1cb51844

1,089

py

Python

src/14 - tuples.py

filchyboy/cs-intro-1

cf6b752d3ae60b29af389cda279d39720ae5441b

[ "MIT" ]

null

src/14 - tuples.py

filchyboy/cs-intro-1

cf6b752d3ae60b29af389cda279d39720ae5441b

[ "MIT" ]

null

src/14 - tuples.py

filchyboy/cs-intro-1

cf6b752d3ae60b29af389cda279d39720ae5441b

[ "MIT" ]

null

""" Tuples """ # A tuple is a collection which is ordered and unchangeable # 1. In Python, tuples are written with round brackets thistuple = ("apple", "banana", "cherry") print(thistuple) # 2. accessing thistuple = ("apple", "banana", "cherry") print(thistuple[1]) # 3. reverse indexing thistuple = ("apple", "banana", "cherry") print(thistuple[-1]) # 4. slicing thistuple = ("apple", "banana", "cherry", "orange", "kiwi", "melon", "mango") print(thistuple[2:5]) # 5. negative slicing thistuple = ("apple", "banana", "cherry", "orange", "kiwi", "melon", "mango") print(thistuple[-4:-1]) # 6. iterating thistuple = ("apple", "banana", "cherry") for x in thistuple: print(x) # 7. contains? thistuple = ("apple", "banana", "cherry") if "apple" in thistuple: print("Yes, 'apple' is in the fruits tuple") # 8. creating a tuple with one item thistuple = ("apple",) print(type(thistuple)) #NOT a tuple thistuple = ("apple") print(type(thistuple)) # 9. concatenating tuples with addition operator tuple1 = ("a", "b" , "c") tuple2 = (1, 2, 3) tuple3 = tuple1 + tuple2 print(tuple3)

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1

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3

d478b059e9eebc2ce71d7278f72b1c0bf9ca5cad

4,751

py

Python

tf2onnx/tflite/DimensionMetadata.py

LoicDagnas/tensorflow-onnx

6691850e79047d05d85017573170fd8240393b57

[ "Apache-2.0" ]

1,473

2018-03-16T02:47:33.000Z

2022-03-31T03:43:52.000Z

tf2onnx/tflite/DimensionMetadata.py

LoicDagnas/tensorflow-onnx

6691850e79047d05d85017573170fd8240393b57

[ "Apache-2.0" ]

1,208

2018-03-14T09:58:49.000Z

2022-03-31T17:56:20.000Z

tf2onnx/tflite/DimensionMetadata.py

LoicDagnas/tensorflow-onnx

6691850e79047d05d85017573170fd8240393b57

[ "Apache-2.0" ]

350

2018-04-03T03:48:40.000Z

2022-03-30T11:23:55.000Z

# SPDX-License-Identifier: Apache-2.0 # automatically generated by the FlatBuffers compiler, do not modify # namespace: tflite import flatbuffers from flatbuffers.compat import import_numpy np = import_numpy() class DimensionMetadata(object): __slots__ = ['_tab'] @classmethod def GetRootAs(cls, buf, offset=0): n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) x = DimensionMetadata() x.Init(buf, n + offset) return x @classmethod def GetRootAsDimensionMetadata(cls, buf, offset=0): """This method is deprecated. Please switch to GetRootAs.""" return cls.GetRootAs(buf, offset) @classmethod def DimensionMetadataBufferHasIdentifier(cls, buf, offset, size_prefixed=False): return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed) # DimensionMetadata def Init(self, buf, pos): self._tab = flatbuffers.table.Table(buf, pos) # DimensionMetadata def Format(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) if o != 0: return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos) return 0 # DimensionMetadata def DenseSize(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) if o != 0: return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) return 0 # DimensionMetadata def ArraySegmentsType(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) if o != 0: return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos) return 0 # DimensionMetadata def ArraySegments(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10)) if o != 0: from flatbuffers.table import Table obj = Table(bytearray(), 0) self._tab.Union(obj, o) return obj return None # DimensionMetadata def ArrayIndicesType(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12)) if o != 0: return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos) return 0 # DimensionMetadata def ArrayIndices(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14)) if o != 0: from flatbuffers.table import Table obj = Table(bytearray(), 0) self._tab.Union(obj, o) return obj return None def Start(builder): builder.StartObject(6) def DimensionMetadataStart(builder): """This method is deprecated. Please switch to Start.""" return Start(builder) def AddFormat(builder, format): builder.PrependInt8Slot(0, format, 0) def DimensionMetadataAddFormat(builder, format): """This method is deprecated. Please switch to AddFormat.""" return AddFormat(builder, format) def AddDenseSize(builder, denseSize): builder.PrependInt32Slot(1, denseSize, 0) def DimensionMetadataAddDenseSize(builder, denseSize): """This method is deprecated. Please switch to AddDenseSize.""" return AddDenseSize(builder, denseSize) def AddArraySegmentsType(builder, arraySegmentsType): builder.PrependUint8Slot(2, arraySegmentsType, 0) def DimensionMetadataAddArraySegmentsType(builder, arraySegmentsType): """This method is deprecated. Please switch to AddArraySegmentsType.""" return AddArraySegmentsType(builder, arraySegmentsType) def AddArraySegments(builder, arraySegments): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(arraySegments), 0) def DimensionMetadataAddArraySegments(builder, arraySegments): """This method is deprecated. Please switch to AddArraySegments.""" return AddArraySegments(builder, arraySegments) def AddArrayIndicesType(builder, arrayIndicesType): builder.PrependUint8Slot(4, arrayIndicesType, 0) def DimensionMetadataAddArrayIndicesType(builder, arrayIndicesType): """This method is deprecated. Please switch to AddArrayIndicesType.""" return AddArrayIndicesType(builder, arrayIndicesType) def AddArrayIndices(builder, arrayIndices): builder.PrependUOffsetTRelativeSlot(5, flatbuffers.number_types.UOffsetTFlags.py_type(arrayIndices), 0) def DimensionMetadataAddArrayIndices(builder, arrayIndices): """This method is deprecated. Please switch to AddArrayIndices.""" return AddArrayIndices(builder, arrayIndices) def End(builder): return builder.EndObject() def DimensionMetadataEnd(builder): """This method is deprecated. Please switch to End.""" return End(builder)

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null

0

1

0

1

0

3

d480390a6cf73efb9fee975a48c7bfdc40f36225

979

py

Python

services/traction/acapy_wrapper/models/menu_option.py

Open-Earth-Foundation/traction

908b555a7f408a88541b7692d3730e37a297c919

[ "Apache-2.0" ]

12

2022-01-29T20:30:03.000Z

2022-03-29T11:46:14.000Z

services/traction/acapy_wrapper/models/menu_option.py

Open-Earth-Foundation/traction

908b555a7f408a88541b7692d3730e37a297c919

[ "Apache-2.0" ]

38

2021-11-22T17:52:50.000Z

2022-03-31T17:52:00.000Z

services/traction/acapy_wrapper/models/menu_option.py

Open-Earth-Foundation/traction

908b555a7f408a88541b7692d3730e37a297c919

[ "Apache-2.0" ]

9

2021-11-22T18:05:48.000Z

2022-03-29T11:25:08.000Z

# coding: utf-8 from __future__ import annotations from datetime import date, datetime # noqa: F401 import re # noqa: F401 from typing import Any, Dict, List, Optional # noqa: F401 from pydantic import AnyUrl, BaseModel, EmailStr, validator # noqa: F401 from acapy_wrapper.models.menu_form import MenuForm class MenuOption(BaseModel): """NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). Do not edit the class manually. MenuOption - a model defined in OpenAPI description: The description of this MenuOption [Optional]. disabled: The disabled of this MenuOption [Optional]. form: The form of this MenuOption [Optional]. name: The name of this MenuOption. title: The title of this MenuOption. """ description: Optional[str] = None disabled: Optional[bool] = None form: Optional[MenuForm] = None name: str title: str MenuOption.update_forward_refs()

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1

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1

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1

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3

00f7d144350d2335042028fb40b27995f5f47cd8

106

py

Python

runserver.py

codito/flow

7eaf581e2e96f3d5f4168583fda18a57e3bb4543

[ "MIT" ]

1

2015-05-22T01:23:13.000Z

runserver.py

codito/flow

7eaf581e2e96f3d5f4168583fda18a57e3bb4543

[ "MIT" ]

1

2018-09-21T12:04:12.000Z

runserver.py

codito/flow

7eaf581e2e96f3d5f4168583fda18a57e3bb4543

[ "MIT" ]

null

# -*- coding: utf-8 -*- import flow if __name__ == '__main__': flow.initialize() flow.app.run()

13.25

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106

4.153846

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0.012048

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null

0

1

0

null

0

1

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3

00f8eb74f352bcd725f6d2c86c3345443d159593

50

py

Python

quicklooper/__init__.py

deuxglaces/quicklooper

8cb7c12f16ece1c2dd6cb796ec4b8b0c831a502e

[ "MIT" ]

null

quicklooper/__init__.py

deuxglaces/quicklooper

8cb7c12f16ece1c2dd6cb796ec4b8b0c831a502e

[ "MIT" ]

null

quicklooper/__init__.py

deuxglaces/quicklooper

8cb7c12f16ece1c2dd6cb796ec4b8b0c831a502e

[ "MIT" ]

null

__version__ = '1.0.0' from .looper import Looper

12.5

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null

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null

0

1

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3

00fcbbe3c8de5881e1c7f0f6c212d1a5e13e2682

536

py

Python

manager/migrations/0007_auto_20201110_1622.py

UN-ICC/icc-digital-id-manager

aca0109b3202b292145326ec5523ee8f24691a83

[ "Apache-2.0" ]

3

2021-02-03T16:37:19.000Z

2022-02-07T09:59:03.000Z

manager/migrations/0007_auto_20201110_1622.py

UN-ICC/icc-digital-id-manager

aca0109b3202b292145326ec5523ee8f24691a83

[ "Apache-2.0" ]

null

manager/migrations/0007_auto_20201110_1622.py

UN-ICC/icc-digital-id-manager

aca0109b3202b292145326ec5523ee8f24691a83

[ "Apache-2.0" ]

2

2021-02-10T16:03:31.000Z

2022-02-07T08:50:16.000Z

# Generated by Django 3.1 on 2020-11-10 15:22 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("manager", "0006_auto_20201105_1007"), ] operations = [ migrations.RemoveField( model_name="credentialdefinition", name="credential_json", ), migrations.AddField( model_name="credentialdefinition", name="support_revocation", field=models.BooleanField(default=True), ), ]

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0

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536

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0

null

0

1

0

1

0

null

0

3

2e1811ed43f409ce5c09c98945c66fb9e103112b

165

py

Python

katas/beta/how_much_coffee_do_you_need.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

katas/beta/how_much_coffee_do_you_need.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

katas/beta/how_much_coffee_do_you_need.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

def how_much_coffee(lst): result = sum(a.isalpha() if a.islower() else 2 * a.isalpha() for a in lst) return 'You need extra sleep' if result > 3 else result

41.25

78

0.678788

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165

3.666667

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0

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0.206061

165

3

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null

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1

0

null

0

1

0

1

0

3

2e343cd481ef2ee88b3c908edb93b07f8e965d94

769

py

Python

grortir/main/pso/calls_optimization_strategy.py

wojtekPi/grortir

0ef8b495527a4f3861e5df5db756d0ee3ed4aa6f

[ "MIT" ]

null

grortir/main/pso/calls_optimization_strategy.py

wojtekPi/grortir

0ef8b495527a4f3861e5df5db756d0ee3ed4aa6f

[ "MIT" ]

null

grortir/main/pso/calls_optimization_strategy.py

wojtekPi/grortir

0ef8b495527a4f3861e5df5db756d0ee3ed4aa6f

[ "MIT" ]

null

"""Represents optimization strategy for PSO.""" from grortir.main.pso.calls_group_optimization_strategy import \ CallsGroupOptimizationStrategy from grortir.main.pso.optimization_strategy import OptimizationStrategy class CallsOptimizationStrategy(OptimizationStrategy): """Represents optimization strategy Calls stages for PSO.""" def get_group_optimization_strategy(self, stages_in_group, process): """ Return group optimization strategy. Args: process (AbstractProcess): optimized process stages_in_group (list): list of stages Returns: CallsGroupOptimizationStrategy: strategy for group optimization. """ return CallsGroupOptimizationStrategy(stages_in_group)

34.954545

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0.065217

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0

null

1

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null

0

1

0

1

0

3

5cfec1686dbd0fbc9a82dff9721f0d84ecab71c2

198

py

Python

pybk8500/__meta__.py

justengel/pybk8500

6a9748033c783a0081ec391359067dfb9dc83760

[ "MIT" ]

null

pybk8500/__meta__.py

justengel/pybk8500

6a9748033c783a0081ec391359067dfb9dc83760

[ "MIT" ]

null

pybk8500/__meta__.py

justengel/pybk8500

6a9748033c783a0081ec391359067dfb9dc83760

[ "MIT" ]

null

name = 'pybk8500' version = '1.2.0' description = 'BK-8500-Electronic-Load python library' url = 'https://github.com/justengel/pybk8500' author = 'Justin Engel' author_email = 'jtengel08@gmail.com'

28.285714

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false

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1

0

null

0

1

0

1

0

null

0

3

cf08138655c22bfed6396bc5a650857f9c5adc3d

3,175

py

Python

jaxns/gaussian_process/kernels.py

fehiepsi/jaxns

9cf9366f11ace564e21f938edf4d090fb5de137d

[ "Apache-2.0" ]

null

jaxns/gaussian_process/kernels.py

fehiepsi/jaxns

9cf9366f11ace564e21f938edf4d090fb5de137d

[ "Apache-2.0" ]

null

jaxns/gaussian_process/kernels.py

fehiepsi/jaxns

9cf9366f11ace564e21f938edf4d090fb5de137d

[ "Apache-2.0" ]

null

from jaxns.gaussian_process.utils import squared_norm, product_log import jax.numpy as jnp class Kernel(object): def __call__(self, x1, x2, *args): raise NotImplemented() class Diagonal(Kernel): def __call__(self, x1, x2, sigma): return jnp.full((x1.shape[0], x1.shape[0]), sigma ** 2) class StationaryKernel(Kernel): def inverse_x(self, p, l, sigma, *params): """ Find x where K(x,0) == p Args: p: l: sigma: Returns: """ return l * jnp.sqrt(2. * jnp.log(sigma ** 2 / p)) def inverse_l(self, p, x, sigma): return x / jnp.sqrt(2. * jnp.log(sigma ** 2 / p)) def act(self, r2, *args): """ Given the squared Euclidean norm of the outer difference between two coordinate sets, return the log of the kernel. Only valid for strictly positive kernels. Args: r2: [N, M] *args: other kernel arguments, e.g. sigma, alpha, ... Returns: log(K(r2)) [N, M] """ raise NotImplemented() def __call__(self, x1, x2, l, *args): r2 = squared_norm(x1, x2) r2 = jnp.maximum(r2 / l, 1e-36) return jnp.exp(self.act(r2, *args)) class RBF(StationaryKernel): def inverse_x(self, p, l, sigma): return l * jnp.sqrt(2. * jnp.log(sigma ** 2 / p)) def inverse_l(self, p, x, sigma): return x / jnp.sqrt(2. * jnp.log(sigma ** 2 / p)) def act(self, r2, sigma): return 2. * jnp.log(sigma) - 0.5 * r2 class RationalQuadratic(StationaryKernel): def inverse_x(self, p, l, sigma, alpha): return l * jnp.sqrt(2. * alpha * ((p / sigma ** 2) ** (-1. / alpha) - 1.)) def inverse_l(self, p, x, sigma, alpha): return x / jnp.sqrt(2. * alpha * ((p / sigma ** 2) ** (-1. / alpha) - 1.)) def act(self, r2, sigma, alpha): log_res = 2. * jnp.log(sigma) - alpha * jnp.log(1. + jnp.sqrt(r2) / (2. * alpha)) return log_res class M12(StationaryKernel): def inverse_x(self, p, l, sigma): return l * jnp.log(sigma ** 2 / p) def inverse_l(self, p, x, sigma): return x / jnp.log(sigma ** 2 / p) def act(self, r2, sigma): return 2. * jnp.log(sigma) - jnp.sqrt(r2) class M32(StationaryKernel): def inverse_x(self, p, l, sigma): return l * (product_log(-p / jnp.exp(1.) / sigma ** 2) + 1.) / (-jnp.sqrt(3.)) def inverse_l(self, p, x, sigma): return x * (-jnp.sqrt(3.)) / (product_log(-p / jnp.exp(1.) / sigma ** 2) + 1.) def act(self, r2, sigma): r = jnp.sqrt(r2) r *= jnp.sqrt(3.) log_res = 2. * jnp.log(sigma) + jnp.log(1. + r) - r return log_res class M52(StationaryKernel): def inverse_x(self, p, l, sigma): return l * (product_log(-p / jnp.exp(1.) / sigma ** 2) + 1.) / (-jnp.sqrt(3.)) def inverse_l(self, p, x, sigma): return x * (-jnp.sqrt(3.)) / (product_log(-p / jnp.exp(1.) / sigma ** 2) + 1.) def act(self, r2, sigma): r = jnp.sqrt(r2) r *= jnp.sqrt(3.) log_res = 2. * jnp.log(sigma) + jnp.log(1. + r) - r return log_res

28.097345

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null

0

null

0

1

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1

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3

cf17001941721945c77b518cbc00112421985125

66

py

Python

src/lib/sre.py

timmartin/skulpt

2e3a3fbbaccc12baa29094a717ceec491a8a6750

[ "MIT" ]

10

2015-11-13T17:02:40.000Z

2021-02-09T23:21:05.000Z

src/lib/sre.py

timmartin/skulpt

2e3a3fbbaccc12baa29094a717ceec491a8a6750

[ "MIT" ]

43

2015-06-03T17:59:23.000Z

2021-09-17T10:45:21.000Z

src/lib/sre.py

timmartin/skulpt

2e3a3fbbaccc12baa29094a717ceec491a8a6750

[ "MIT" ]

13

2017-07-02T03:16:46.000Z

2021-07-05T14:53:56.000Z

raise NotImplementedError("sre is not yet implemented in Skulpt")

33

65

0.818182

9

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1

0

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1

66

0.931034

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0

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1

0

null

0

1

0

null

0

1

0

3

cf3ad6cdc33ac7de5f1a17a517d09fc497aa362e

189

py

Python

UE4Parse/Assets/Objects/ETextFlag.py

zbx911/pyUE4Parse

eb30d27a4341ad68a7104458a0fdfae6a360d153

[ "MIT" ]

13

2021-06-09T09:21:00.000Z

2022-03-30T22:13:24.000Z

UE4Parse/Assets/Objects/ETextFlag.py

zbx911/pyUE4Parse

eb30d27a4341ad68a7104458a0fdfae6a360d153

[ "MIT" ]

3

2021-09-04T22:23:02.000Z

2022-03-04T09:45:45.000Z

UE4Parse/Assets/Objects/ETextFlag.py

zbx911/pyUE4Parse

eb30d27a4341ad68a7104458a0fdfae6a360d153

[ "MIT" ]

6

2021-09-02T10:28:21.000Z

2022-03-30T22:13:37.000Z

from enum import Enum class ETextFlag(Enum): Transient = 1 << 0 CultureInvariant = 1 << 1 ConvertedProperty = 1 << 2 Immutable = 1 << 3 InitializedFromString = 1 << 4

18.9

34

0.624339

22

189

5.363636

0.681818

0

0.073529

0.280423

189

9

35

21

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0.142857

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null

0

1

0

null

0

1

0

3

cf5e4550b7583a2f6490cf9ba995745a0d048cd3

872

py

Python

housemonitor/inputs/abc_input.py

gary-pickens/HouseMonitor

4b169bdbeed9013e1824d4bb929970ae0c27a6c9

[ "MIT" ]

1

2021-06-28T06:52:03.000Z

housemonitor/inputs/abc_input.py

gary-pickens/HouseMonitor

4b169bdbeed9013e1824d4bb929970ae0c27a6c9

[ "MIT" ]

null

housemonitor/inputs/abc_input.py

gary-pickens/HouseMonitor

4b169bdbeed9013e1824d4bb929970ae0c27a6c9

[ "MIT" ]

null

''' Created on Aug 2, 2012 @author: Gary ''' import abc from pubsub import pub from housemonitor.lib.base import Base from housemonitor.lib.constants import Constants class abcInput(Base, object): ''' This abstract class will input all the data and send it on it's way. ''' __metaclass__ = abc.ABCMeta def __init__(self): ''' Constructor ''' super(abcInput, self).__init__() self.logger.debug("in iInput") @abc.abstractproperty def topic_name(self): return 'Should never see this' # pragma: no cover @abc.abstractmethod def input(self): pass # pragma: no cover @abc.abstractproperty def logger_name(self): """ Set the logger level. This needs to be added to house_monitoring_logging.conf""" return Constants.LogKeys.inputs # pragma: no cover

22.947368

92

0.649083

110

872

5

0.6

0.043636

0.070909

0.058182

0

0.007728

0.258028

872

37

93

23.567568

0.842349

0.284404

0

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1

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false

0.055556

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0.055556

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null

0

null

0

1

0

1

0

1

0

3

cf64eca24a14445f809b639bf8c45cafe66b4a53

8,387

py

Python

src/api/handlers/event.py

jpeirce21/api

11035360d6829a398b747aa86771b7d30fe46cb8

[ "MIT" ]

null

src/api/handlers/event.py

jpeirce21/api

11035360d6829a398b747aa86771b7d30fe46cb8

[ "MIT" ]

null

src/api/handlers/event.py

jpeirce21/api

11035360d6829a398b747aa86771b7d30fe46cb8

[ "MIT" ]

null

"""Handler file for all routes pertaining to events""" from _main_.utils.route_handler import RouteHandler from _main_.utils.common import get_request_contents, parse_list, parse_bool, check_length, parse_date, parse_int, parse_location from api.services.event import EventService from _main_.utils.massenergize_response import MassenergizeResponse from types import FunctionType as function from _main_.utils.context import Context from _main_.utils.validator import Validator from api.decorators import admins_only, super_admins_only, login_required class EventHandler(RouteHandler): def __init__(self): super().__init__() self.service = EventService() self.registerRoutes() def registerRoutes(self) -> None: self.add("/events.info", self.info) self.add("/events.create", self.create) self.add("/events.add", self.create) self.add("/events.copy", self.copy) self.add("/events.list", self.list) self.add("/events.update", self.update) self.add("/events.delete", self.delete) self.add("/events.remove", self.delete) self.add("/events.rank", self.rank) self.add("/events.rsvp", self.rsvp) self.add("/events.rsvp.update", self.rsvp_update) self.add("/events.rsvp.remove", self.rsvp_remove) self.add("/events.todo", self.save_for_later) #admin routes self.add("/events.listForCommunityAdmin", self.community_admin_list) self.add("/events.listForSuperAdmin", self.super_admin_list) def info(self, request): context: Context = request.context args: dict = context.args self.validator.expect("event_id", is_required=True) args, err = self.validator.verify(args, strict=True) if err: return err event_info, err = self.service.get_event_info(context, args) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=event_info) @admins_only def copy(self, request): context: Context = request.context args: dict = context.args self.validator.expect("event_id", is_required=True) args, err = self.validator.verify(args, strict=True) if err: return err event_info, err = self.service.copy_event(context, args) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=event_info) @login_required def rsvp(self, request): context: Context = request.context args: dict = context.args self.validator.expect("event_id", is_required=True) args, err = self.validator.verify(args, strict=True) if err: return err event_info, err = self.service.rsvp(context, args) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=event_info) @login_required def rsvp_update(self, request) -> function: context: Context = request.context args: dict = context.args self.validator.expect("event_id", is_required=True) self.validator.expect("status", is_required=False) args, err = self.validator.verify(args, strict=True) if err: return err event_info, err = self.service.rsvp_update(context, args) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=event_info) @login_required def rsvp_remove(self, request): context: Context = request.context args: dict = context.args self.validator.expect("rsvp_id", is_required=True) args, err = self.validator.verify(args, strict=True) if err: return err event_info, err = self.service.rsvp_remove(context, args) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=event_info) @login_required def save_for_later(self, request): context: Context = request.context args: dict = context.args self.validator.expect("event_id", is_required=True) args, err = self.validator.verify(args, strict=True) if err: return err event_info, err = self.service.get_event_info(context, args) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=event_info) # TODO implement validator @admins_only def create(self, request): context: Context = request.context args: dict = context.args ok, err = check_length(args, 'name', min_length=5, max_length=100) if not ok: return MassenergizeResponse(error=str(err), status=err.status) args['tags'] = parse_list(args.get('tags', [])) args['is_global'] = parse_bool(args.pop('is_global', None)) args['archive'] = parse_bool(args.pop('archive', None)) args['is_published'] = parse_bool(args.pop('is_published', None)) args['have_address'] = parse_bool(args.pop('have_address', False)) args = parse_location(args) event_info, err = self.service.create_event(context, args) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=event_info) def list(self, request): context: Context = request.context args: dict = context.args community_id = args.pop('community_id', None) subdomain = args.pop('subdomain', None) user_id = args.pop('user_id', None) self.validator.expect("community_id", is_required=False) self.validator.expect("subdomain", is_required=False) self.validator.expect("user_id", is_required=False) args, err = self.validator.verify(args, strict=True) if err: return err event_info, err = self.service.list_events(context, args) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=event_info) # TODO implement validator @admins_only def update(self, request): context: Context = request.context args: dict = context.args event_id = args.pop('event_id', None) ok, err = check_length(args, 'name', min_length=5, max_length=100) if not ok: return MassenergizeResponse(error=str(err), status=err.status) args['tags'] = parse_list(args.get('tags', [])) args['is_global'] = parse_bool(args.pop('is_global', None)) args['archive'] = parse_bool(args.pop('archive', None)) args['is_published'] = parse_bool(args.pop('is_published', None)) args['have_address'] = parse_bool(args.pop('have_address', False)) args = parse_location(args) event_info, err = self.service.update_event(context, event_id, args) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=event_info) @admins_only def rank(self, request): context: Context = request.context args: dict = context.args self.validator.expect('id', int, is_required=True) self.validator.expect('rank', int, is_required=True) self.validator.rename('event_id', 'id') args, err = self.validator.verify(args) if err: return MassenergizeResponse(error=str(err), status=err.status) event_info, err = self.service.rank_event(args) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=event_info) @admins_only def delete(self, request): context: Context = request.context args: dict = context.args event_id = args.get("event_id", None) event_info, err = self.service.delete_event(context, event_id) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=event_info) @admins_only def community_admin_list(self, request): context: Context = request.context args: dict = context.args self.validator.expect("community_id", is_required=True) args, err = self.validator.verify(args) if err: return err events, err = self.service.list_events_for_community_admin(context, args) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=events) @super_admins_only def super_admin_list(self, request): context: Context = request.context events, err = self.service.list_events_for_super_admin(context) if err: return MassenergizeResponse(error=str(err), status=err.status) return MassenergizeResponse(data=events)

32.507752

129

0.710862

1,097

8,387

5.284412

0.093892

0.062619

0.041746

0.093842

0.767466

0.741935

0.717268

0.69743

0.688287

0.681904

0

0.001151

0.170979

8,387

257

130

32.634241

0.83259

0.013235

0

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0

0.068699

0.006531

0

0.003891

0

1

0.07732

false

0

0.041237

0

0.314433

0

null

0

1

0

1

0

null

0

3

cf722d094e4a86e3cdd63fb5b6362826c04ffe69

140

py

Python

rpycore/__init__.py

roguextech/ICL-Rocketry-RocketPy

789cad455ab64fd5a01fb8bf27852950408b3691

[ "MIT" ]

null

rpycore/__init__.py

roguextech/ICL-Rocketry-RocketPy

789cad455ab64fd5a01fb8bf27852950408b3691

[ "MIT" ]

null

rpycore/__init__.py

roguextech/ICL-Rocketry-RocketPy

789cad455ab64fd5a01fb8bf27852950408b3691

[ "MIT" ]

null

"""Top-level package for RocketPy.""" __author__ = """Mohammed Raihaan Usman""" __email__ = 'raihaan.usman@gmail.com' __version__ = '0.1.1'

28

41

0.707143

18

140

4.833333

0.833333

0.275862

0

0.024

0.107143

140

5

42

28

0.672

0.221429

0

0.480769

0.221154

0

1

0

false

0

1

0

null

1

0

1

0

null

0

3

cf817518c039ae1ddb27709043dfbfdde04e64c5

192

py

Python

test.py

cbn35/CS-470-Halma

78fa2aaa4bc4a2e7bb6d60d4bf33a80a32f8dbd7

[ "MIT" ]

1

2019-10-23T01:21:10.000Z

test.py

cbn35/CS-470-Halma

78fa2aaa4bc4a2e7bb6d60d4bf33a80a32f8dbd7

[ "MIT" ]

null

test.py

cbn35/CS-470-Halma

78fa2aaa4bc4a2e7bb6d60d4bf33a80a32f8dbd7

[ "MIT" ]

null

from Halma import Halma from Player import Node, MiniMax import time test = Halma(8, 0, 2) timeStamp = time.time() m = MiniMax(test, 9999999999) print("Done! Took ", time.time() - timeStamp)

21.333333

45

0.71875

29

192

4.758621

0.586207

0.115942

0

0.080247

0.15625

192

8

46

24

0.771605

0

0.057292

0

1

0

false

0

0.428571

0

0.428571

0.142857

1

0

null

0

1

0

null

0

1

0

3

d843a9bfff16e3879512c66396513cbd209aeaee

1,488

py

Python

main.py

gaato/nkodice-discord

d693b0db37f1ca3480fd4de964434d9800b06a12

[ "Apache-2.0" ]

null

main.py

gaato/nkodice-discord

d693b0db37f1ca3480fd4de964434d9800b06a12

[ "Apache-2.0" ]

null

main.py

gaato/nkodice-discord

d693b0db37f1ca3480fd4de964434d9800b06a12

[ "Apache-2.0" ]

null

import random import discord import asyncio from config import DISCORD_TOKEN client = discord.Client() @client.event async def on_ready(): print('It\'s activated') async def nkodice(message: discord.Message): rolls = random.choices(('う', 'ま', 'ち', 'ん', 'こ', 'お'), k=5) roles = [] if rolls.count('う') >= 1 and rolls.count('ん') >= 1 and rolls.count('ち'): roles.append('UNCHI') if rolls.count('う') >= 1 and rolls.count('ん') >= 1 and rolls.count('こ'): roles.append('UNKO') if rolls.count('お') >= 1 and rolls.count('ま') >= 1 and rolls.count('ん') >= 1 and rolls.count('こ'): roles.append('OMANKO') elif rolls.count('ま') >= 1 and rolls.count('ん') >= 1 and rolls.count('こ'): roles.append('MANKO') if rolls.count('ち') >= 1 and rolls.count('ん') and rolls.count('こ'): roles.append('CHINKO') if rolls.count('お') >= 1 and rolls.count('ち') >= 2 and rolls.count('ん') >= 2: roles.append('OCHINCHIN') elif rolls.count('ち') >= 2 and rolls.count('ん') >= 2: roles.append('CHINCHIN') for r in rolls: await message.channel.send(r) await asyncio.sleep(1.0) for r in roles: await message.channel.send('***' + r + '***') await asyncio.sleep(1.0) @client.event async def on_message(message: discord.Message): if message.author.bot: return if message.content == '!nkodice': await nkodice(message) client.run(DISCORD_TOKEN)

24.8

102

0.584005

215

1,488

4.023256

0.265116

0.242775

0.210405

0.178035

0.553757

0.486705

0.457803

0.418497

0

0.017452

0.229839

1,488

59

103

25.220339

0.737347

0

0.105263

0

0.058468

0

1

0

false

0

0.105263

0

0.131579

0.026316

0

null

1

0

null

0

3

d8459fe1fe1f0a5dba6ca051cbf8b6edbdd45630

193

py

Python

World/Object/Unit/Constants/MovementType.py

sundayz/idewave-core

5bdb88892173c9c3e8c85f431cf9b5dbd9f23941

[ "Apache-2.0" ]

10

2019-06-29T19:24:52.000Z

2021-02-21T22:45:57.000Z

World/Object/Unit/Constants/MovementType.py

sundayz/idewave-core

5bdb88892173c9c3e8c85f431cf9b5dbd9f23941

[ "Apache-2.0" ]

4

2019-08-15T07:03:36.000Z

2021-06-02T13:01:25.000Z

World/Object/Unit/Constants/MovementType.py

sundayz/idewave-core

5bdb88892173c9c3e8c85f431cf9b5dbd9f23941

[ "Apache-2.0" ]

8

2019-06-30T22:47:48.000Z

2021-02-20T19:21:30.000Z

from enum import Enum class MovementType(Enum): IDLE_ON_SPANW_POINT = 0 RANDOM_MOVEMENT = 1 # should set spawndistance radius WAYPOINT_MOVEMENT = 2

24.125

70

0.626943

22

193

5.272727

0.863636

0

0.023438

0.336788

193

8

71

24.125

0.882813

0.160622

0

1

0

false

0

0.2

0

1

0

1

0

null

0

1

0

null

0

1

0

3

d8512530ecfba8cba30fe6e8826eb9c3a0427acb

259

py

Python

flask_extras/forms/validators/serialization.py

up2cat/flask_extras

7888da0ca2793e49a803a256b405fa43e6e64ae2

[ "MIT" ]

19

2016-08-03T07:10:23.000Z

2022-03-03T16:37:11.000Z

flask_extras/forms/validators/serialization.py

christabor/jinja2_template_pack

f57300bc2922aa4105d1aa393351b63c86c26048

[ "MIT" ]

7

2016-11-11T21:54:53.000Z

2018-11-21T04:33:46.000Z

flask_extras/forms/validators/serialization.py

christabor/jinja2_template_pack

f57300bc2922aa4105d1aa393351b63c86c26048

[ "MIT" ]

3

2016-12-30T10:34:02.000Z

2021-04-08T05:40:09.000Z

"""Validators for various serialization formats.""" import json def valid_json(formcls, field): """Validate field data as a json. :param formcls (object): The form class. :param field (str): The list of ips. """ json.loads(field.data)

19.923077

51

0.664093

35

259

4.885714

0.714286

0.105263

0

0.212355

259

12

52

21.583333

0.838235

0.598456

0

1

0.333333

false

0

0.333333

0

0.666667

0

null

0

null

0

1

0

1

0

1

0

3

d859382937ea95d2946ec59432d960f84381c2f3

204

py

Python

zhsz_api/controllers/__init__.py

azhen318x/FormatFa6

9a103e91fa6b1ba99ff30cdf96770f304c968288

[ "MIT" ]

12

2019-12-05T02:12:01.000Z

2021-12-13T14:56:44.000Z

zhsz_api/controllers/__init__.py

azhen318x/FormatFa6

9a103e91fa6b1ba99ff30cdf96770f304c968288

[ "MIT" ]

null

zhsz_api/controllers/__init__.py

azhen318x/FormatFa6

9a103e91fa6b1ba99ff30cdf96770f304c968288

[ "MIT" ]

4

2019-12-05T03:18:42.000Z

2021-04-06T06:13:55.000Z

from flask import Blueprint from settings import Config db=Config.db api_blue = Blueprint('api', __name__, url_prefix='/api') from . import auth from . import data from . import logonav from .import sql

20.4

56

0.769608

31

204

4.870968

0.516129

0.264901

0

0.147059

204

10

57

20.4

0.867816

0

0.034146

0

1

0

false

0

0.75

0

0.75

0.25

0

null

1

0

null

0

1

0

1

0

3

d85a4f16928c4465d47ab2678139e64d3adaaf20

440

py

Python

lib/stop_words.py

awesome-archive/novelRS

ae9d0cbd765dfb5730321fa320a8a559730b5d8d

[ "MIT" ]

null

lib/stop_words.py

awesome-archive/novelRS

ae9d0cbd765dfb5730321fa320a8a559730b5d8d

[ "MIT" ]

null

lib/stop_words.py

awesome-archive/novelRS

ae9d0cbd765dfb5730321fa320a8a559730b5d8d

[ "MIT" ]

null

# coding=utf-8 """ 停用词，去除标点符号 """ stop_words = [ '，', '。', '“', '”', '‘', '’', '！', '？', '（', '《', '》', '）', '-', '=', '+', '-', '：', '；', '…', '、', '?', '.', ',', '/', ';', ':', '.', '!', '(', ')', '&', '^', '%', '$', '#', '@', '`', '~', '\\', '|', '_', '<', '>', ]

8.979592

18

0.068182

8

440

3.875

1

0

0.004651

0.511364

440

48

19

9.166667

0.125581

0.056818

0

0.088889

0

0.107843

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

3

d85a689310652712876d7ea54ebb0d08eb176cd6

732

py

Python

pysurf/random/shrandom.py

MFSJMenger/pysurf

99c6a94d4cb5046f16a0961b907061d989ffb6dc

[ "Apache-2.0" ]

7

2020-10-28T13:46:08.000Z

2021-05-27T06:41:56.000Z

pysurf/random/shrandom.py

MFSJMenger/pysurf

99c6a94d4cb5046f16a0961b907061d989ffb6dc

[ "Apache-2.0" ]

2

2020-10-27T19:15:12.000Z

2020-10-27T19:15:25.000Z

pysurf/random/shrandom.py

MFSJMenger/pysurf

99c6a94d4cb5046f16a0961b907061d989ffb6dc

[ "Apache-2.0" ]

2

2021-04-15T05:54:30.000Z

2022-02-08T00:10:10.000Z

from abc import ABC, abstractmethod import numpy as np # This should be a Singleton class! # there can only exist ONE way to # generate random numbers! class RandomNumberGeneratorBase(ABC): """"Python Class to generate random numbers""" def __init__(self, seed=None): self.seed = seed self._set_seed(seed) @abstractmethod def _set_seed(self, seed): """Sets seed for random number generator""" pass @abstractmethod def get(self): pass class RandomNumberGeneratorNP(RandomNumberGeneratorBase): def _set_seed(self, seed): """Sets seed for random number generator""" np.random.seed(seed) def get(self): return np.random.random()

21.529412

57

0.663934

89

732

5.348315

0.438202

0.067227

0.096639

0.210084

0

0.247268

732

33

58

22.181818

0.863884

0.285519

0

0.470588

1

0

1

0.294118

false

0.117647

0.058824

0.588235

0

null

0

1

0

null

0

1

0

1

0

3

d8612305fbc8350fa73e22884a6d2886b9660f39

888

py

Python

base/views.py

EOSIO-HACKATHON2020/eosform

49d283634567858aff24dac139aefab2d9ab3395

[ "Apache-2.0" ]

null

base/views.py

EOSIO-HACKATHON2020/eosform

49d283634567858aff24dac139aefab2d9ab3395

[ "Apache-2.0" ]

null

base/views.py

EOSIO-HACKATHON2020/eosform

49d283634567858aff24dac139aefab2d9ab3395

[ "Apache-2.0" ]

null

from django.shortcuts import render from django.views.generic import TemplateView from eos import EOS from surveys.models import Survey from surveys.models import SurveyStatus class LandingView(TemplateView): template_name = 'landing.html' def get_surveys(self): return Survey.objects.filter(status=SurveyStatus.PUBLISHED.value)\ .order_by('-modified', '-created')[:20] def get_context_data(self, **kwargs): kwargs.update({ 'eos': EOS(), 'surveys': self.get_surveys() }) return super().get_context_data(**kwargs) def page_400(request): return render('400.html', {}, status=400) def page_403(request): return render('403.html', {}, status=403) def page_404(request): return render('404.html', {}, status=404) def page_500(request): return render('500.html', {}, status=500)

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