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<|fim_suffix|> super().__init__('192.168.1.3', 8083) class YanexTransportConfig(TransportConfig): def __init__(self): super().__init__('asr.yandex.net', 443)<|fim_prefix|># repo: ReanGD/smart-home path: /etc/transport.py from protocols.transport import TransportConfig class HassTransportConfig(T...
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{ "lang": "python", "repo": "ReanGD/smart-home", "path": "/etc/transport.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: ReanGD/smart-home path: /etc/transport.py from protocols.transport import TransportConfig class HassTransportConfig(TransportConfig): <|fim_suffix|> def __init__(self): super().__init__('asr.yandex.net', 443)<|fim_middle|> def __init__(self): super().__init__('192.168.1.3'...
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{ "lang": "python", "repo": "ReanGD/smart-home", "path": "/etc/transport.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: binduchinnasamy/metadata-samples path: /harvestor/adls-gen2/src/Function/EntitySync/ProcessEntity/__init__.py import logging import requests import json import os import azure.functions as func def main(blob: func.InputStream): logging.info("Blob trigger function started processing ...
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{ "lang": "python", "repo": "binduchinnasamy/metadata-samples", "path": "/harvestor/adls-gen2/src/Function/EntitySync/ProcessEntity/__init__.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> qns_request_obj ={} if entity_type =='resourceset': qns_request_obj ={ "azure_storage_uri":adls_gen2_uri, "filesystem_name":file_system, "resource_set_path":entity_path } qns_service_url=qns_service_url+'&typeName=azure_datalake_gen2_resource_...
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{ "lang": "python", "repo": "binduchinnasamy/metadata-samples", "path": "/harvestor/adls-gen2/src/Function/EntitySync/ProcessEntity/__init__.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Enselic/git-repo-language-trends path: /src/git_repo_language_trends/_internal/args.py import os import sys import argparse import git_repo_language_trends from pathlib import Path desc = """ Description: ============ Analyze programming language usage over time in a git repository and produce ...
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{ "lang": "python", "repo": "Enselic/git-repo-language-trends", "path": "/src/git_repo_language_trends/_internal/args.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> parser.add_argument( "--list", "-l", action='store_true', help="list file extensions and their total line count in the first commit", ) parser.add_argument( "--min-interval-days", metavar="<int>", type=positive_int, default=7, he...
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{ "lang": "python", "repo": "Enselic/git-repo-language-trends", "path": "/src/git_repo_language_trends/_internal/args.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: jyoung8607/openpilot path: /selfdrive/ui/update_translations.py #!/usr/bin/env python3 import argparse import json import os from common.basedir import BASEDIR UI_DIR = os.path.join(BASEDIR, "selfdrive", "ui") TRANSLATIONS_DIR = os.path.join(UI_DIR, "translations") LANGUAGES_FILE = os.path.join...
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{ "lang": "python", "repo": "jyoung8607/openpilot", "path": "/selfdrive/ui/update_translations.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>if __name__ == "__main__": parser = argparse.ArgumentParser(description="Update translation files for UI", formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument("--vanish", action="store_true", help="Remove translations with source text no longe...
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{ "lang": "python", "repo": "jyoung8607/openpilot", "path": "/selfdrive/ui/update_translations.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> with open(LANGUAGES_FILE, "r") as f: translation_files = json.load(f) for file in translation_files.values(): tr_file = os.path.join(translations_dir, f"{file}.ts") args = f"lupdate -locations none -recursive {UI_DIR} -ts {tr_file} -I {BASEDIR}" if vanish: args += " -no-obsolete...
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{ "lang": "python", "repo": "jyoung8607/openpilot", "path": "/selfdrive/ui/update_translations.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ebeahan/aeon-ztps path: /aeon_ztp/ztp_os_selector.py # Copyright 2014-present, Apstra, Inc. All rights reserved. # # This source code is licensed under End User License Agreement found in the # LICENSE file at http://www.apstra.com/community/eula import os import yaml _AEON_TOPDIR = os.getenv...
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{ "lang": "python", "repo": "ebeahan/aeon-ztps", "path": "/aeon_ztp/ztp_os_selector.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> """ filename = os.path.join(_AEON_TOPDIR, 'etc/profiles/default/{vendor}/os-selector.cfg'.format(vendor=vendor)) return load_yaml(filename) class Vendor: """ Describes an Aeon-ZTP vendor specification, focusing on firmware locations Attributes: vendor (str): Name of the vend...
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{ "lang": "python", "repo": "ebeahan/aeon-ztps", "path": "/aeon_ztp/ztp_os_selector.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: rit-bikeshare/backend path: /extended_permissions/admin.py import copy class ExtendedUserAdminMixin: class Meta: abstract = True def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.filter_horizontal = list(self.filter_horizontal) if self.f...
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{ "lang": "python", "repo": "rit-bikeshare/backend", "path": "/extended_permissions/admin.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if not found: raise TypeError("Couldn't find user_permissions field. Maybe you need a custom admin?") return fieldsets<|fim_prefix|># repo: rit-bikeshare/backend path: /extended_permissions/admin.py import copy class ExtendedUserAdminMixin: class Meta: abstract = True d...
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{ "lang": "python", "repo": "rit-bikeshare/backend", "path": "/extended_permissions/admin.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> data = {} page_token = None creds = None # The file token.pickle stores the user's access and refresh tokens, and is # created automatically when the authorization flow completes for the first # time. if os.path.exists('token.pickle'): with open('token.pickle', '...
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{ "lang": "python", "repo": "VidhiRambhia/VJTI-Navigation", "path": "/google_drive_util.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: VidhiRambhia/VJTI-Navigation path: /google_drive_util.py from __future__ import print_function import pickle import os.path import json from googleapiclient.discovery import build from google_auth_oauthlib.flow import InstalledAppFlow from google.auth.transport.requests import Request from...
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{ "lang": "python", "repo": "VidhiRambhia/VJTI-Navigation", "path": "/google_drive_util.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> """Shows basic usage of the Drive v3 API. Prints the names and ids of the first 10 files the user has access to. """ creds = None # The file token.pickle stores the user's access and refresh tokens, and is # created automatically when the authorization flow completes for the f...
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{ "lang": "python", "repo": "VidhiRambhia/VJTI-Navigation", "path": "/google_drive_util.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|># 启动worker时自动发现任务 celery_app.autodiscover_tasks(['celery_tasks.sms', 'celery_tasks.email', 'celery_tasks.html'])<|fim_prefix|># repo: Elvira521feng/Django_demo path: /meiduo_mall/celery_tasks/main.py from celery import Celery # 设置Django运行所依赖的环境变量 import os if not os.getenv('DJANGO_SETTINGS_MODULE'): ...
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{ "lang": "python", "repo": "Elvira521feng/Django_demo", "path": "/meiduo_mall/celery_tasks/main.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Elvira521feng/Django_demo path: /meiduo_mall/celery_tasks/main.py from celery import Celery # 设置Django运行所依赖的环境变量 import os if not os.getenv('DJANGO_SETTINGS_MODULE'): os.environ['DJANGO_SETTINGS_MODULE'] = 'meiduo_mall.settings.dev' <|fim_suffix|># 加载配置 celery_app.config_from_object('celery...
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{ "lang": "python", "repo": "Elvira521feng/Django_demo", "path": "/meiduo_mall/celery_tasks/main.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: iangregson/advent-of-code path: /2021/20/solution.py #!/usr/bin/env python3 import os from collections import defaultdict, Counter, deque, namedtuple from enum import Enum import itertools import functools import operator import random dir_path = os.path.dirname(os.path.realpath(__file__)) file...
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{ "lang": "python", "repo": "iangregson/advent-of-code", "path": "/2021/20/solution.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> for y in range(self.min_y-5, self.max_y+5): for x in range(self.min_x-5, self.max_x+10): alg_idx = 0 bits = '' for dy in [-1, 0, 1]: for dx in [-1, 0, 1]: if ((x+dx,y+dy) in self.coord_set) == track_on: bits += '1' else: ...
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{ "lang": "python", "repo": "iangregson/advent-of-code", "path": "/2021/20/solution.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> d = self.obj.Data self.assertEqual(len(d['children']),7,'The PDF has exactly 7 pages') def test_2_histo_at_least_one_node(self): self.assertGreater(self.histoNodeCount, 0, 'at least one histogram line node') def test_3_histo_exact_node_count(self): if self.reason_...
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{ "lang": "python", "repo": "jw15/imagemagick-identify-parser", "path": "/tests/basic.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> def test_3_histo_exact_node_count(self): if self.reason_skip_multipage_pdf: raise unittest.SkipTest("skip test because version doesn't support multipage") self.assertEqual(self.histoNodeCount, 632, 'exact histo node count') def test_4_histo_no_children_for_histogram_n...
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{ "lang": "python", "repo": "jw15/imagemagick-identify-parser", "path": "/tests/basic.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: jw15/imagemagick-identify-parser path: /tests/basic.py import sys import unittest from ImageMagickIdentifyParser import ImageMagickIdentifyParser class TestsPDF(unittest.TestCase): obj = None @classmethod def setUp(self): if self.obj is None: self.obj = ImageMagi...
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{ "lang": "python", "repo": "jw15/imagemagick-identify-parser", "path": "/tests/basic.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> @staticmethod def empty(ndims): """ Creates an identity linear transformation. @param ndims: number of dimensions @return: identity matrix transformation """ transform = PcaTransformer(w=np.eye(ndims), mu=np.zeros(ndims)) return transform<|fi...
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{ "lang": "python", "repo": "eranroz/dnase", "path": "/src/models/PcaTransformer.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: eranroz/dnase path: /src/models/PcaTransformer.py """ Pca transformer for reducing number of dimensions """ import logging import numpy as np __author__ = 'eranroz' class PcaTransformer(object): """ Reduce number of dimensions using PCA """ def __init__(self, w=None, mu=0): ...
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{ "lang": "python", "repo": "eranroz/dnase", "path": "/src/models/PcaTransformer.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def recover(self, reduced): """ Inverse for pca, reconstruction of the original data @param reduced: reduced data @return: reconstruction of original data """ return np.dot(reduced, self.w)+self.mu def __call__(self, *args, **kwargs): data_c...
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{ "lang": "python", "repo": "eranroz/dnase", "path": "/src/models/PcaTransformer.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: xunyuw/thingsboard-gateway-mitsubishi path: /thingsboard_gateway/sin_edge_sdk/mqtt.py from base_request import BaseRequest <|fim_suffix|> if ip and port: BaseRequest.__init__(self, ip=ip, port=port) else: BaseRequest.__init__(self)<|fim_middle|> class MqttC...
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{ "lang": "python", "repo": "xunyuw/thingsboard-gateway-mitsubishi", "path": "/thingsboard_gateway/sin_edge_sdk/mqtt.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> if ip and port: BaseRequest.__init__(self, ip=ip, port=port) else: BaseRequest.__init__(self)<|fim_prefix|># repo: xunyuw/thingsboard-gateway-mitsubishi path: /thingsboard_gateway/sin_edge_sdk/mqtt.py from base_request import BaseRequest <|fim_middle|> class MqttC...
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{ "lang": "python", "repo": "xunyuw/thingsboard-gateway-mitsubishi", "path": "/thingsboard_gateway/sin_edge_sdk/mqtt.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: carpedm20/magenta path: /magenta/lib/melodies_lib.py ue (that is the pitch), and is held through subsequent NO_EVENT events until either another non-negative value is reached (even if the pitch is the same as the previous note), or a NOTE_OFF event is reached. A NOTE_OFF starts at least one...
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{ "lang": "python", "repo": "carpedm20/magenta", "path": "/magenta/lib/melodies_lib.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: carpedm20/magenta path: /magenta/lib/melodies_lib.py 1, 3, 5, 7, 8, 10] # [C, C#, D#, F, G, G#, A#] # # 0 = C # 1 = C# # 2 = D # 3 = D# # 4 = E # 5 = F # 6 = F# # 7 = G # 8 = G# # 9 = A # 10 = A# # 11 = B # # NOTE_KEYS can be generated using the code below, but is explicitly declared # for reada...
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{ "lang": "python", "repo": "carpedm20/magenta", "path": "/magenta/lib/melodies_lib.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> # If a gap of `gap` or more steps is found, end the melody. if (len(self) and self._distance_to_last_event(start_step) >= gap): break # Add the note-on and off events to the melody. self._add_note(note.pitch, start_step, end_step) self._write_all_notes() ...
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{ "lang": "python", "repo": "carpedm20/magenta", "path": "/magenta/lib/melodies_lib.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: hysts/pytorch_image_classification path: /pytorch_image_classification/utils/utils.py import pathlib import random import numpy as np import torch import yacs.config <|fim_suffix|>def setup_cudnn(config: yacs.config.CfgNode) -> None: torch.backends.cudnn.benchmark = config.cudnn.benchmark ...
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{ "lang": "python", "repo": "hysts/pytorch_image_classification", "path": "/pytorch_image_classification/utils/utils.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def save_config(config: yacs.config.CfgNode, output_path: pathlib.Path) -> None: with open(output_path, 'w') as f: f.write(str(config))<|fim_prefix|># repo: hysts/pytorch_image_classification path: /pytorch_image_classification/utils/utils.py import pathlib import random imp...
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{ "lang": "python", "repo": "hysts/pytorch_image_classification", "path": "/pytorch_image_classification/utils/utils.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Tocyuki/RobotFramework-sample path: /variables_samples/variable_files/variable_file_with_all.py __all__ = ['include_func', 'INCLUDE_VARIABLE'] <|fim_suffix|>def include_func(): pass def exclude_func(): pass<|fim_middle|>INCLUDE_VARIABLE = 'foo' EXCLUDE_VARIABLE = 'bar'
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{ "lang": "python", "repo": "Tocyuki/RobotFramework-sample", "path": "/variables_samples/variable_files/variable_file_with_all.py", "mode": "psm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|>def exclude_func(): pass<|fim_prefix|># repo: Tocyuki/RobotFramework-sample path: /variables_samples/variable_files/variable_file_with_all.py __all__ = ['include_func', 'INCLUDE_VARIABLE'] <|fim_middle|>INCLUDE_VARIABLE = 'foo' EXCLUDE_VARIABLE = 'bar' def include_func(): pass
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{ "lang": "python", "repo": "Tocyuki/RobotFramework-sample", "path": "/variables_samples/variable_files/variable_file_with_all.py", "mode": "spm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|>def include_func(): pass def exclude_func(): pass<|fim_prefix|># repo: Tocyuki/RobotFramework-sample path: /variables_samples/variable_files/variable_file_with_all.py __all__ = ['include_func', 'INCLUDE_VARIABLE'] <|fim_middle|>INCLUDE_VARIABLE = 'foo' EXCLUDE_VARIABLE = 'bar'
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{ "lang": "python", "repo": "Tocyuki/RobotFramework-sample", "path": "/variables_samples/variable_files/variable_file_with_all.py", "mode": "spm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|> def newton_body(iterand): """Performs one iteration of Newton's method.""" next_backward_difference = iterand.next_backward_difference next_state_vec = iterand.next_state_vec rhs = newton_coefficient * step_size_cast * ode_fn_vec( next_time, next_state_vec) - rhs_constan...
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{ "lang": "python", "repo": "tensorflow/probability", "path": "/tensorflow_probability/python/math/ode/bdf_util.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: tensorflow/probability path: /tensorflow_probability/python/math/ode/bdf_util.py # Copyright 2018 The TensorFlow Probability Authors. # # 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 t...
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{ "lang": "python", "repo": "tensorflow/probability", "path": "/tensorflow_probability/python/math/ode/bdf_util.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> from torch.optim.lr_scheduler import ReduceLROnPlateau class LRScheduler(Callback): def __init__(self, lr_scheduler) -> None: super(LRScheduler, self).__init__() self.lr_scheduler = lr_scheduler def on_epoch_end(self, trainer: Trainer): if isinstance(self.lr_scheduler, R...
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{ "lang": "python", "repo": "shenghuo123/keras4torch", "path": "/keras4torch/callbacks.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: shenghuo123/keras4torch path: /keras4torch/callbacks.py import numpy as np from ._training import Trainer, StopTrainingError, Events class Callback(): def __init__(self) -> None: pass def get_callbacks_dict(self): return {i: getattr(self, i.value) for i in Events if ...
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{ "lang": "python", "repo": "shenghuo123/keras4torch", "path": "/keras4torch/callbacks.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: DoesArt-Studios/RamBrowse path: /venv/Lib/site-packages/PySimpleGUIDesigner/main.py e os.path.join( os.environ['HOME'], inputXMLui[2:]) python = 'python' if gimme_system() == 'Linux': python += '3' # idea is simple: # 1 copy input ui file to . # 2 run "psg_ui...
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{ "lang": "python", "repo": "DoesArt-Studios/RamBrowse", "path": "/venv/Lib/site-packages/PySimpleGUIDesigner/main.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # ##### # setup # ##### if _settings['-memento-file-cb-']: window['-memento-file-cb-'].update(True) window['xmlfile'].update(_settings['xmlfile']) update_app_settings() psg_vals = window(timeout=0)[1] parse_n_load_possible_widgets(psg_vals['xmlfile'].strip(...
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{ "lang": "python", "repo": "DoesArt-Studios/RamBrowse", "path": "/venv/Lib/site-packages/PySimpleGUIDesigner/main.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def parse_n_load_possible_widgets(myxml_file='', window=None, values={}): ''' возвращает найденые object_names все виджетов ''' if os.path.exists(myxml_file) and os.path.isfile(myxml_file): # get xml with open(myxml_file, 'r', encoding='utf-8') ...
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{ "lang": "python", "repo": "DoesArt-Studios/RamBrowse", "path": "/venv/Lib/site-packages/PySimpleGUIDesigner/main.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>ghe\.','/bao-da/','/op-lung/','/theo-cac-thuong-hieu/']), 'parse_item'), Rule(LinkExtractor(allow=['/phu-kien-theo-cac-dong-may/','/sac-pin-du-phong\.','/do-choi-cong-nghe\.','/tai-nghe\.','/bao-da/','/op-lung/','/theo-cac-thuong-hieu/']), 'parse'), #Rule(LinkExtractor(), 'parse_item_and_links'), ...
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{ "lang": "python", "repo": "nguyenminhthai/choinho", "path": "/scraper/storage_spiders/phukiengiarecom.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: nguyenminhthai/choinho path: /scraper/storage_spiders/phukiengiarecom.py # Auto generated by generator.py. Delete this line if you make modification. from scrapy.spiders import Rule from scrapy.linkextractors import LinkExtractor XPATH = { 'name' : "//h1[@class='ty-product-block-title']", ...
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{ "lang": "python", "repo": "nguyenminhthai/choinho", "path": "/scraper/storage_spiders/phukiengiarecom.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> self.__update_amount((elapsed_iter / float(self.iterations)) * 100.0) self.prog_bar += ' %d of %s complete' % (elapsed_iter, self.iterations) def __update_amount(self, new_amount): percent_done = int(round((new_amount / 100.0) * 100.0)) all_full = self.width - 2 ...
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{ "lang": "python", "repo": "jansoe/FUImaging", "path": "/regnmf/progress_bar.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def update_iteration(self, elapsed_iter): self.__update_amount((elapsed_iter / float(self.iterations)) * 100.0) self.prog_bar += ' %d of %s complete' % (elapsed_iter, self.iterations) def __update_amount(self, new_amount): percent_done = int(round((new_amount / 100.0) * 1...
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{ "lang": "python", "repo": "jansoe/FUImaging", "path": "/regnmf/progress_bar.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: jansoe/FUImaging path: /regnmf/progress_bar.py # -*- coding: utf-8 -*- # from http://nbviewer.ipython.org/github/ipython/ipython/blob/3607712653c66d63e0d7f13f073bde8c0f209ba8/docs/examples/notebooks/Animations_and_Progress.ipynb import sys import time import uuid try: from IPython.display i...
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{ "lang": "python", "repo": "jansoe/FUImaging", "path": "/regnmf/progress_bar.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: dials/dials path: /tests/algorithms/refinement/test_angle_derivatives_wrt_vector_elts.py """Test analytical expression for the partial derivatives of an angle between two vectors with respect to each element of the vectors""" from __future__ import annotations import math import random from l...
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{ "lang": "python", "repo": "dials/dials", "path": "/tests/algorithms/refinement/test_angle_derivatives_wrt_vector_elts.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> theta_fwd = math.acos(self._vec_u.dot(v_fwd) / (v_fwd.length() * self._u)) theta_rev = math.acos(self._vec_u.dot(v_rev) / (v_rev.length() * self._u)) return (theta_fwd - theta_rev) / self._delta def dtheta_du_1(self): return self.dtheta_du_elt(0) def dtheta_du_2(...
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{ "lang": "python", "repo": "dials/dials", "path": "/tests/algorithms/refinement/test_angle_derivatives_wrt_vector_elts.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> if args.multicast is not None: conf['mcast_ipaddr'] = args.multicast conf['message_len'] = 5000 if args.length is not None: conf['message_len'] = args.length conf['num'] = 10 if args.num is not None: conf['num'] = args.num if __name__ == '__main__': loop ...
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{ "lang": "python", "repo": "baessler/pmul", "path": "/pmul/examples/client.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: baessler/pmul path: /pmul/examples/client.py #!/usr/bin/python3 """ This script creates a P_MUL client which delivers multiple messages to a destination P_MUL server. """ import sys sys.path.append("../") import pmul import asyncio import argparse class ClientProtocol(pmul.PmulProtocol): d...
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{ "lang": "python", "repo": "baessler/pmul", "path": "/pmul/examples/client.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if args.bind is not None: conf['src_ipaddr'] = args.bind conf['destination'] = '127.0.0.1' if args.destination is None: parser.print_help() exit() else: conf['destination'] = args.destination if args.multicast is not None: conf['mcast_ipaddr'] ...
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{ "lang": "python", "repo": "baessler/pmul", "path": "/pmul/examples/client.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # Calculate the distance from one observation point to the object # using the Law of Sines # # d L # -------- -------- # sin(t_1) sin(t_3) # # th_3 = 180 - th_1 - th_2 # # L : separation distance # th_1 : angle 1 # th_2 : angle 2 # theta_3 = 180*units.d...
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{ "lang": "python", "repo": "CD3/pyErrorProp", "path": "/examples/triangulation.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|>print(Angle1, Angle2, Seperation) # enable error propgation prop = PositiveIntervalPropagator() prop.set_return_uncertainties(True) @WithErrorPropagator(prop) def calc( theta_1, theta_2, seperation ): # Calculate the distance from one observation point to the object # using the Law of Sines # #...
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{ "lang": "python", "repo": "CD3/pyErrorProp", "path": "/examples/triangulation.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: CD3/pyErrorProp path: /examples/triangulation.py #! /usr/bin/env python # -*- coding: utf-8 -*- from pyErrorProp import * print() # CONFIGURATION # # measure two angles separated by some distance Angle1 = UQ_(93.5, 0.8)*units.degree Angle2 = UQ_(83.1, 0.8)*units.degree Seperation = UQ...
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{ "lang": "python", "repo": "CD3/pyErrorProp", "path": "/examples/triangulation.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: cprecioso/wheelchair-design-platform path: /code/raspberry/mega.py import os import signal from random import randint import output from hub import Property, upload from internal_serial import SEMICOLON, Message, serial def setup(): None <|fim_suffix|> messageId = int(args.pop(0))...
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{ "lang": "python", "repo": "cprecioso/wheelchair-design-platform", "path": "/code/raspberry/mega.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> messageId = int(args.pop(0)) if messageId == Message.kStatus: print("Status:", args[0]) upload(Property.Status, args[0]) elif messageId == Message.kGPS: lat = float(args[0]) lon = float(args[1]) upload(Property.Location, ...
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{ "lang": "python", "repo": "cprecioso/wheelchair-design-platform", "path": "/code/raspberry/mega.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> self.setWindowIcon(QtGui.QIcon(self.icon_name)) self.setWindowTitle(self.title) self.setGeometry(self.left, self.top, self.width, self.height) self._init_ui_components() self.show() def _init_ui_components(self): btn_event = QPushButton("Click me!", sel...
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{ "lang": "python", "repo": "vseenivasan/Python-GUI", "path": "/YouTube-PyQt5/04_events_signals.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> btn_close = QPushButton("Close", self) btn_close.setGeometry(QRect(100, 160, 200, 50)) btn_close.clicked.connect(self._close_click) def _button_click(self): print("Hello button click!") def _close_click(self): sys.exit() if __name__ == "__main__": app...
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{ "lang": "python", "repo": "vseenivasan/Python-GUI", "path": "/YouTube-PyQt5/04_events_signals.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: vseenivasan/Python-GUI path: /YouTube-PyQt5/04_events_signals.py import sys from PyQt5 import QtGui, QtCore from PyQt5.QtWidgets import QApplication, QPushButton, QMainWindow from PyQt5.QtCore import QRect class MainWindow(QMainWindow): def __init__(self): super().__init__() ...
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{ "lang": "python", "repo": "vseenivasan/Python-GUI", "path": "/YouTube-PyQt5/04_events_signals.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: CaltechExperimentalGravity/RLzoo path: /rlzoo/algorithms/ddpg/default.py from rlzoo.common.policy_networks import * from rlzoo.common.value_networks import * from rlzoo.common.utils import set_seed """ full list of algorithm parameters (alg_params) ----------------------------------------------...
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{ "lang": "python", "repo": "CaltechExperimentalGravity/RLzoo", "path": "/rlzoo/algorithms/ddpg/default.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>def dm_control(env, default_seed=True): if default_seed: # reproducible seed = 2 set_seed(seed, env) alg_params = dict( replay_buffer_size=10000, tau=0.01, ) if alg_params.get('net_list') is None: num_hidden_layer = 2 # number of hidden la...
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{ "lang": "python", "repo": "CaltechExperimentalGravity/RLzoo", "path": "/rlzoo/algorithms/ddpg/default.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: LangJin/BasicsRolePro path: /FlaskServer/run.py # -*- coding:utf-8 -*- __author__ = 'LangJin' from app import create_app from flask_cors import CORS import logging app = create_app() <|fim_suffix|>if __name__ == "__main__": app.run(host="0.0.0.0",port=8282)<|fim_middle|> cors = CORS(app,...
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{ "lang": "python", "repo": "LangJin/BasicsRolePro", "path": "/FlaskServer/run.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if __name__ == "__main__": app.run(host="0.0.0.0",port=8282)<|fim_prefix|># repo: LangJin/BasicsRolePro path: /FlaskServer/run.py # -*- coding:utf-8 -*- __author__ = 'LangJin' from app import create_app from flask_cors import CORS import logging app = create_app() <|fim_middle|>cors = CORS(app...
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{ "lang": "python", "repo": "LangJin/BasicsRolePro", "path": "/FlaskServer/run.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # Parse MassBank entry. def _parse_massbank(usi: str) -> Tuple[sus.MsmsSpectrum, str]: match = _match_usi(usi) index_flag = match.group(3) if index_flag.lower() != 'accession': raise ValueError('Currently supported MassBank index flags: accession') index = match.group(4) try: ...
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{ "lang": "python", "repo": "cthoyt-forks-and-packages/MetabolomicsSpectrumResolver", "path": "/parsing.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # Parse MS2LDA from ms2lda.org. def _parse_ms2lda(usi: str) -> Tuple[sus.MsmsSpectrum, str]: match = _match_usi(usi) ms2lda_task_match = ms2lda_task_pattern.match(match.group(2)) if ms2lda_task_match is None: raise ValueError('Incorrectly formatted MS2LDA task') experiment_id = ms...
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{ "lang": "python", "repo": "cthoyt-forks-and-packages/MetabolomicsSpectrumResolver", "path": "/parsing.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: cthoyt-forks-and-packages/MetabolomicsSpectrumResolver path: /parsing.py import functools import json import re from typing import Tuple import requests import spectrum_utils.spectrum as sus import parsing_legacy MS2LDA_SERVER = 'http://ms2lda.org/basicviz/' MOTIFDB_SERVER = 'http://ms2lda.org...
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{ "lang": "python", "repo": "cthoyt-forks-and-packages/MetabolomicsSpectrumResolver", "path": "/parsing.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: patrickxie/invengine path: /server/api/invengine.py # -*- coding: utf-8 -*- from flask import Blueprint, request, jsonify from flask_restful import Api, Resource from models import User, Invite #import invenine model here import uuid from rq import Queue from worker import conn from tasks import ...
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{ "lang": "python", "repo": "patrickxie/invengine", "path": "/server/api/invengine.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> @staticmethod def post(invengine_id): q = Queue('low', connection=conn) data = request.json job = q.enqueue_call( func=parse_invite_data, args=(data,), result_ttl=5000 ) return jsonify({'success': True, 'id': invengine_id})<|fim_prefix|># repo: p...
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{ "lang": "python", "repo": "patrickxie/invengine", "path": "/server/api/invengine.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> tok = str(uuid.uuid4()) new_user = User(token=tok) db.session.add(new_user) db.session.commit() print('we adding a new user :', new_user.id) return jsonify({'invengine_id': new_user.id, 'token': tok}) @invengine_api.resource('/invites/<string:invengine_id>...
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{ "lang": "python", "repo": "patrickxie/invengine", "path": "/server/api/invengine.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: klmitch/requiem path: /requiem/__init__.py # Copyright 2011 OpenStack LLC. # All Rights Reserved. # # 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 # # h...
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{ "lang": "python", "repo": "klmitch/requiem", "path": "/requiem/__init__.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|># Import everything from requiem import client from requiem import decorators from requiem import exceptions from requiem import headers from requiem import processor from requiem import request # Build up our __all__ and import all the symbols __all__ = [] for _mod in (client, decorators, exceptions, h...
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{ "lang": "python", "repo": "klmitch/requiem", "path": "/requiem/__init__.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> return resp.read() To use this client: >>> hc = HelloClient('http://example.com') >>> hc.hello() 'world' For information about the request that is passed to @restmethod() decorated methods, see the documentation for HTTPRequest, as well as the documentation for @restmethod() its...
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{ "lang": "python", "repo": "klmitch/requiem", "path": "/requiem/__init__.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: sabuhish/fastapi-mail path: /fastapi_mail/config.py from typing import Optional from aiosmtplib.api import DEFAULT_TIMEOUT from jinja2 import Environment, FileSystemLoader from pydantic import DirectoryPath, EmailStr, conint from pydantic_settings import BaseSettings as Settings class Connecti...
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{ "lang": "python", "repo": "sabuhish/fastapi-mail", "path": "/fastapi_mail/config.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def template_engine(self) -> Environment: """ Return template environment """ folder = self.TEMPLATE_FOLDER if not folder: raise ValueError( "Class initialization did not include a ``TEMPLATE_FOLDER`` ``PathLike`` object." ...
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{ "lang": "python", "repo": "sabuhish/fastapi-mail", "path": "/fastapi_mail/config.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> """ Return template environment """ folder = self.TEMPLATE_FOLDER if not folder: raise ValueError( "Class initialization did not include a ``TEMPLATE_FOLDER`` ``PathLike`` object." ) template_env = Environment(loader=F...
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{ "lang": "python", "repo": "sabuhish/fastapi-mail", "path": "/fastapi_mail/config.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ycharts/pycharts path: /pycharts/exceptions.py class PyChartsRequestException(Exception): def __init__(self, error_message=''): self.error_message = error_message self.error_code = 400 def __str__(self): return '{0} code:{1}'.format(self.error_message, self.erro...
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{ "lang": "python", "repo": "ycharts/pycharts", "path": "/pycharts/exceptions.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def __init__(self, error_message=None): self.error_message = error_message self.error_code = 414<|fim_prefix|># repo: ycharts/pycharts path: /pycharts/exceptions.py class PyChartsRequestException(Exception): def __init__(self, error_message=''): self.error_message = erro...
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{ "lang": "python", "repo": "ycharts/pycharts", "path": "/pycharts/exceptions.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> @login_required(login_url='login') def camera_video(request): return StreamingHttpResponse(frame_generator(0), content_type="multipart/x-mixed-replace; boundary=frame") @login_required(login_url='login') def live_video(request): return StreamingHttpResponse(frame_generator("rtsp://admin:admin@5...
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{ "lang": "python", "repo": "fang-zh16/Python", "path": "/live_version/intelligent_monitoring_platform/main/views.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>@login_required(login_url='login') def new_alarms(request): alarms = Alarm.objects.order_by("-id").all() result = [] for alarm in alarms: if alarm.visible == 1: result.append({ "id": alarm.id, "alarm_class": "检测到人", "time_begi...
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{ "lang": "python", "repo": "fang-zh16/Python", "path": "/live_version/intelligent_monitoring_platform/main/views.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: fang-zh16/Python path: /live_version/intelligent_monitoring_platform/main/views.py import numpy as np import os import six.moves.urllib as urllib import sys import tarfile import tensorflow as tf import zipfile import sqlite3 import time import cv2 import base64 import json import queue import th...
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{ "lang": "python", "repo": "fang-zh16/Python", "path": "/live_version/intelligent_monitoring_platform/main/views.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: jurek333/playful_python path: /rhymer/test.py #!/usr/bin/env python3 """tests for rhymer.py""" import os from subprocess import getoutput prg = './rhymer.py' # -------------------------------------------------- def test_exists(): """exists""" assert os.path.isfile(prg) # ----------...
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{ "lang": "python", "repo": "jurek333/playful_python", "path": "/rhymer/test.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> out = getoutput('{} apple'.format(prg)).splitlines() assert len(out) == 57 assert out[10] == 'napple' assert out[-10] == 'wrapple' # -------------------------------------------------- def test_no_vowels(): """no vowels""" out = getoutput('{} bbb'.format(prg)) assert out == '...
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{ "lang": "python", "repo": "jurek333/playful_python", "path": "/rhymer/test.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> title benchmarks[i + 1] = int(benchmark) benchmarks[N + 1] = 1000000007 titles[N + 1] = 'none' for j in range(M): print(bin_search(int(sys.stdin.readline())))<|fim_prefix|># repo: Jin-RHC/daily_algo path: /2021/Oct/1009/19637_IF문좀대신써줘/s1.py import sys def bin_search(number): start = 1 e...
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{ "lang": "python", "repo": "Jin-RHC/daily_algo", "path": "/2021/Oct/1009/19637_IF문좀대신써줘/s1.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Jin-RHC/daily_algo path: /2021/Oct/1009/19637_IF문좀대신써줘/s1.py import sys def bin_search(number): start = 1 end = N while start <= end: mid = (start + end) // 2 if benchmarks[mid - 1] < number <= benc<|fim_suffix|>t, input().split()) benchmarks = [-1] * (N + 2) titles =...
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{ "lang": "python", "repo": "Jin-RHC/daily_algo", "path": "/2021/Oct/1009/19637_IF문좀대신써줘/s1.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: evkumar71/py_geo_serv path: /geoservices.py import json, signal import tornado.ioloop import tornado.web from tornado.httpclient import AsyncHTTPClient import urllib.parse import tornado.gen adrs_request_url = "https://geocoder.api.here.com/6.2/geocode.json?app_id=pb0CIzZpApR3GtVA0b0R&app...
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{ "lang": "python", "repo": "evkumar71/py_geo_serv", "path": "/geoservices.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> @tornado.gen.coroutine def get(self): # encode user input properly address_string = urllib.parse.quote(self.get_argument("address")) http_client = AsyncHTTPClient() response = yield http_client.fetch(adrs_request_url + address_string, method="GET") res...
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{ "lang": "python", "repo": "evkumar71/py_geo_serv", "path": "/geoservices.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # encode user input properly address_string = urllib.parse.quote(self.get_argument("address")) http_client = AsyncHTTPClient() response = yield http_client.fetch(coord_request_url + address_string, method="GET") response_json = json.loads(response.body) ...
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{ "lang": "python", "repo": "evkumar71/py_geo_serv", "path": "/geoservices.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: DobroAlex/asyncio_TCP_chat path: /AsyncChatV1/client/src/main.py import threading from routines import establish_connection, receiving_routine, forwarding_routine <|fim_suffix|> main_socket = establish_connection.establish_connection('127.0.0.1', 8088) receiving = threading.Thread(targ...
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{ "lang": "python", "repo": "DobroAlex/asyncio_TCP_chat", "path": "/AsyncChatV1/client/src/main.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> running_threads = (receiving, sending) for thread in running_threads: thread.start() while True: for thread in running_threads: if not thread.is_alive(): print(f'Thread {thread.name} is dead, aborting execution') return if __name_...
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{ "lang": "python", "repo": "DobroAlex/asyncio_TCP_chat", "path": "/AsyncChatV1/client/src/main.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> while True: for thread in running_threads: if not thread.is_alive(): print(f'Thread {thread.name} is dead, aborting execution') return if __name__ == '__main__': main()<|fim_prefix|># repo: DobroAlex/asyncio_TCP_chat path: /AsyncChatV1/client/...
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{ "lang": "python", "repo": "DobroAlex/asyncio_TCP_chat", "path": "/AsyncChatV1/client/src/main.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: KratosMultiphysics/Kratos path: /applications/TrilinosApplication/TrilinosApplication.py from KratosMultiphysics import _ImportApplication from KratosMultiphysics.kratos_utilities import CheckIfApplicationsAvailable import KratosMultiphysics.mpi # importing the MPI-Core, since the TrilinosApp dir...
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{ "lang": "python", "repo": "KratosMultiphysics/Kratos", "path": "/applications/TrilinosApplication/TrilinosApplication.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> * application = KratosTrilinosApplication() application_name = "KratosTrilinosApplication" _ImportApplication(application, application_name)<|fim_prefix|># repo: KratosMultiphysics/Kratos path: /applications/TrilinosApplication/TrilinosApplication.py from KratosMultiphysics import _ImportApplication fr...
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{ "lang": "python", "repo": "KratosMultiphysics/Kratos", "path": "/applications/TrilinosApplication/TrilinosApplication.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> generator = reverse3(output) pool = Pool(threads) while True: options = np.array([next(generator) for _ in range(BATCH_SIZE)], dtype=np.uint8) tq = tqdm(range(ROUNDS), leave=False) for _ in tq: options = np.vstack(pool.map(reverse21, np.array_split(options, ...
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{ "lang": "python", "repo": "rnbwdsh/nintendo_hireme", "path": "/python/reverse_fast/full.py", "mode": "spm", "license": "CC0-1.0", "source": "the-stack-v2" }
<|fim_suffix|> def reverse(output, threads=32): generator = reverse3(output) pool = Pool(threads) while True: options = np.array([next(generator) for _ in range(BATCH_SIZE)], dtype=np.uint8) tq = tqdm(range(ROUNDS), leave=False) for _ in tq: options = np.vstack(pool.map(r...
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{ "lang": "python", "repo": "rnbwdsh/nintendo_hireme", "path": "/python/reverse_fast/full.py", "mode": "spm", "license": "CC0-1.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: rnbwdsh/nintendo_hireme path: /python/reverse_fast/full.py from multiprocessing import Pool from time import time from numba import jit from tqdm import tqdm from reverse_fast.split import * from constants import * @jit(nopython=True) def reverse21_(options, rfw1np): return [reverse1(reve...
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{ "lang": "python", "repo": "rnbwdsh/nintendo_hireme", "path": "/python/reverse_fast/full.py", "mode": "psm", "license": "CC0-1.0", "source": "the-stack-v2" }
<|fim_suffix|> telemetry_logger = utils.TelemetryLogger(enable_telemetry=True) telemetry_logger.log_trace( message="A unit test message of shrike.build. Please ignore it.", level=logging.INFO, )<|fim_prefix|># repo: Anbang-Hu/shrike path: /tests/tests_build/utils/test_utils.py # Copyright (c...
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{ "lang": "python", "repo": "Anbang-Hu/shrike", "path": "/tests/tests_build/utils/test_utils.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> """Unit tests for utils class of opencensus azure monitor""" telemetry_logger = utils.TelemetryLogger() assert ( telemetry_logger.instrumentation_key == "aaefce9e-d109-4fac-bb9f-8277c68e91ac" ) assert telemetry_logger.enable_telemetry telemetry_logger = utils.TelemetryLogg...
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{ "lang": "python", "repo": "Anbang-Hu/shrike", "path": "/tests/tests_build/utils/test_utils.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Anbang-Hu/shrike path: /tests/tests_build/utils/test_utils.py # Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from pathlib import Path import pytest import logging from shrike.build.utils import utils @pytest.mark.parametrize( "file_name,expected_hash", [ ...
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{ "lang": "python", "repo": "Anbang-Hu/shrike", "path": "/tests/tests_build/utils/test_utils.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }