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<|fim_suffix|> dependencies = [ ('hmlvaraus', '0025_berth_reserving_staff_member'), ] operations = [ migrations.AlterField( model_name='hmlreservation', name='state_updated_at', field=models.DateTimeField(blank=True, null=True, verbose_name='Time of modifi...
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{ "lang": "python", "repo": "CityOfHameenlinna/hmlvaraus-backend", "path": "/hmlvaraus/migrations/0026_auto_20180427_0925.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>class Migration(migrations.Migration): dependencies = [ ('hmlvaraus', '0025_berth_reserving_staff_member'), ] operations = [ migrations.AlterField( model_name='hmlreservation', name='state_updated_at', field=models.DateTimeField(blank=True,...
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{ "lang": "python", "repo": "CityOfHameenlinna/hmlvaraus-backend", "path": "/hmlvaraus/migrations/0026_auto_20180427_0925.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: CityOfHameenlinna/hmlvaraus-backend path: /hmlvaraus/migrations/0026_auto_20180427_0925.py # -*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2018-04-27 06:25 from __future__ import unicode_literals <|fim_suffix|> operations = [ migrations.AlterField( model_name='hmlr...
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{ "lang": "python", "repo": "CityOfHameenlinna/hmlvaraus-backend", "path": "/hmlvaraus/migrations/0026_auto_20180427_0925.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> CloseMessageWindow() Sound(895, 0, 100, 0) BeginChrThread(0x1F, 0, 0, 36) PlayEffect(0x0, 0xFF, 0x1A, 0x3, 0, 400, -100, 0, 0, 0, 650, 650, 650, 0xFF, 0, 0, 0, 0) PlayEffect(0x2, 0xFF, 0x1A, 0x3, 0, 0, 0, 0, 0, 0, 1000, 1000, 1000, 0xFF, 0, 0, 0, 0) Sleep(800) NpcTalk( ...
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{ "lang": "python", "repo": "GeofrontTeam/EDDecompiler", "path": "/Decompiler/p/scena/e3020.梅尔卡瓦.bin.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> Return() # Function_33_A792 end def Function_34_A7B5(): pass label("Function_34_A7B5") Jc((scpexpr(EXPR_PUSH_LONG, 0x1), scpexpr(EXPR_END)), "loc_A7D9") OP_82(0xA, 0xA, 0xBB8, 0x1F4) Sleep(500) Jump("Function_34_A7B5") label("loc_A7D9") Return()...
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{ "lang": "python", "repo": "GeofrontTeam/EDDecompiler", "path": "/Decompiler/p/scena/e3020.梅尔卡瓦.bin.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: GeofrontTeam/EDDecompiler path: /Decompiler/p/scena/e3020.梅尔卡瓦.bin.py scpstr(0x7, 0x5), "出来迎接的芙兰\x01", "冲上去抱住了诺艾尔,\x01", "低声抽泣不止……\x02\x03", "而诺艾尔在安抚妹妹的同时,\x01", "双目也已湿润,泛出了泪水。\x07\x00\x02", ) ) CloseMessageWind...
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{ "lang": "python", "repo": "GeofrontTeam/EDDecompiler", "path": "/Decompiler/p/scena/e3020.梅尔卡瓦.bin.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # This is the main loop. while not rospy.is_shutdown(): if (math.isnan(self.scan.ranges[320]) or self.scan.ranges[320] < self.TARGET): twist.linear.x = -.1 twist.angular.z = 0 else: twist.linear.x = .1...
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{ "lang": "python", "repo": "JMU-Robotics-Club/example_code", "path": "/approach_oo.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def run(self): """ Move forward or backward to achieve the target distance. """ twist = Twist() rate = rospy.Rate(10) # Wait until the first scan message is available while self.scan is None and not rospy.is_shutdown(): rospy.sleep(.1) # ...
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{ "lang": "python", "repo": "JMU-Robotics-Club/example_code", "path": "/approach_oo.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: JMU-Robotics-Club/example_code path: /approach_oo.py #!/usr/bin/env python """ Simple example of subscribing to sensor messages and publishing twist messages to the turtlebot. Object-oriented version. Author: Nathan Sprague Version: 2/29/2016 """ import rospy import math # Twist is the messag...
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{ "lang": "python", "repo": "JMU-Robotics-Club/example_code", "path": "/approach_oo.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>heatmaps = {} for lecture_id, counts in lectures.iteritems(): heatmaps[lecture_id] = [0] * lecture_mins[lecture_id] for minute in sorted(lectures[lecture_id]): heatmaps[lecture_id][minute] = lectures[lecture_id][minute] print json.dumps(heatmaps)<|fim_prefix|># repo: kevinwang/moca path:...
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{ "lang": "python", "repo": "kevinwang/moca", "path": "/gen_heatmaps.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: kevinwang/moca path: /gen_heatmaps.py #!/usr/bin/env python """Generate play/pause/seeked event heatmaps from raw Coursera event data. Usage: grep 'user\.video\.lecture\.action.*\(play\|pause\|seeked\)' *ClickStreamData_NonPII.csv | cut -d, -f3,10,13 | sed -E 's/https:\/\/class.coursera.org\/.*\...
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{ "lang": "python", "repo": "kevinwang/moca", "path": "/gen_heatmaps.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: soxoj/telegram-bot-dumper path: /bot_test.py import json import shutil import os import pytest from telethon.sync import TelegramClient from dumper import * bot = None @pytest.mark.asyncio async def test_dumper(): global bot if os.path.exists('5080069482'): shutil.rmtree('50...
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{ "lang": "python", "repo": "soxoj/telegram-bot-dumper", "path": "/bot_test.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> assert chat_history == """[5][378410969][2021-12-05 14:01:23+00:00] MessageActionChatCreate(title='Soxoj & Test Dumper Serjfios34', users=[378410969, 5080069482]) [6][378410969][2021-12-05 14:01:23+00:00] Photo of chat was changed: media/5289906529388049862.jpg [7][378410969][2021-12-05 14:01:37+00:00...
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{ "lang": "python", "repo": "soxoj/telegram-bot-dumper", "path": "/bot_test.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> chat_history = open('5080069482/660191274/660191274_history.txt').read() assert chat_history == """[5][378410969][2021-12-05 14:01:23+00:00] MessageActionChatCreate(title='Soxoj & Test Dumper Serjfios34', users=[378410969, 5080069482]) [6][378410969][2021-12-05 14:01:23+00:00] Photo of chat was c...
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{ "lang": "python", "repo": "soxoj/telegram-bot-dumper", "path": "/bot_test.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if optim_args.lr_throttle: # Reducing the lr here for the recurrent layers helps with stability, # To date (July 21, 2021), we may only need this for maze models. base_params = [p for n, p in net.named_parameters() if "recur" not in n] recur_params = [p for n, p in net....
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{ "lang": "python", "repo": "mcleish7/MLRC-deep-thinking", "path": "/deepthinking/utils/tools.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: mcleish7/MLRC-deep-thinking path: /deepthinking/utils/tools.py """ tools.py Utility functions that are common to all tasks Collaboratively developed by Avi Schwarzschild, Eitan Borgnia, Arpit Bansal, and Zeyad Emam. Developed for DeepThinking project October 2021 """ imp...
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{ "lang": "python", "repo": "mcleish7/MLRC-deep-thinking", "path": "/deepthinking/utils/tools.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: UIUC-SULLIVAN/ThesisProject_Andrea_Mattera path: /Clustering Sensors with Hadoop/reduce_group_sensors.py #!/usr/bin/env python2 from geopy.distance import vincenty import sys import datetime as dt sens=0 l=[] di={} #{number of sensor: ((lat,lon),captured time)} fmt="%Y-%m-%d %H:%M:%S" dist=No...
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{ "lang": "python", "repo": "UIUC-SULLIVAN/ThesisProject_Andrea_Mattera", "path": "/Clustering Sensors with Hadoop/reduce_group_sensors.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> r=[(x[0],y) for x,y in zip(di.values(),di.keys()) if abs(x[1]-date).total_seconds()<time_threshold] tmp=[vincenty(p,c[0]).meters for c in r] try: m=min(tmp) except ValueError: #there are no measurements in "time_threshold" mins after the previous one sens+=1 #another sens...
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{ "lang": "python", "repo": "UIUC-SULLIVAN/ThesisProject_Andrea_Mattera", "path": "/Clustering Sensors with Hadoop/reduce_group_sensors.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: AgentShir/scout_apm_python path: /src/scout_apm/instruments/pymongo.py # coding=utf-8 from __future__ import absolute_import, division, print_function, unicode_literals import logging # Used in the exec() call below. from scout_apm.core.monkey import monkeypatch_method, unpatch_method # noqa: ...
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{ "lang": "python", "repo": "AgentShir/scout_apm_python", "path": "/src/scout_apm/instruments/pymongo.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def installable(self): try: from pymongo.collection import Collection # noqa: F401 except ImportError: logger.info("Unable to import for PyMongo instruments") return False if self.installed: logger.warning("PyMongo Instruments ar...
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{ "lang": "python", "repo": "AgentShir/scout_apm_python", "path": "/src/scout_apm/instruments/pymongo.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: gregga/iot-sdks-e2e-fx path: /test-runner/docker_log_watcher.py #!/usr/bin/env python # Copyright (c) Microsoft. All rights reserved. # Licensed under the MIT license. See LICENSE file in the project root for # full license information. from multiprocessing import Process, Queue, Event from threa...
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{ "lang": "python", "repo": "gregga/iot-sdks-e2e-fx", "path": "/test-runner/docker_log_watcher.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> self.queue.put(self.kill_marker) def enable(self): self.silent = False def flush_and_disable(self): self.flush_complete.clear() self.queue.put(self.flush_marker) self.flush_complete.wait() def queue_reader(self): while True: line =...
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{ "lang": "python", "repo": "gregga/iot-sdks-e2e-fx", "path": "/test-runner/docker_log_watcher.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: pantheon5100/fmcw-finetune-RKD path: /fine-tune/model/model_dense.py import torch import torch.nn as nn from torchvision import models from tensorboardX import SummaryWriter import torch.nn.functional as F class DenseNet(torch.nn.Module): def __init__(self, pretrained=True, arc='121'): <|fi...
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{ "lang": "python", "repo": "pantheon5100/fmcw-finetune-RKD", "path": "/fine-tune/model/model_dense.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> return out class Dense(torch.nn.Module): def __init__(self, pretrained=True, arc='121'): super().__init__() self.dense = DenseNet(pretrained=pretrained, arc=arc) if arc == '121': self.fc = torch.nn.Linear(1024, 6) elif arc == '161': sel...
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{ "lang": "python", "repo": "pantheon5100/fmcw-finetune-RKD", "path": "/fine-tune/model/model_dense.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> x = self.dense(x) x = self.fc(x) return x # if __name__ == '__main__': # model = not # print(model.state_dict()) # # # writer = SummaryWriter(comment='distribution-o') # # print(model.state_dict()) # # writer.add_histogram('distribution centers3', model.state_...
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{ "lang": "python", "repo": "pantheon5100/fmcw-finetune-RKD", "path": "/fine-tune/model/model_dense.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> output = new_output(output_type='display_data', metadata={'papermill': {}}) nb = new_notebook(cells=[new_code_cell('test', outputs=[output])]) assert _get_notebook_outputs(nb) == {} def test_no_outputs_with_markdown(self): nb = new_notebook(cells=[new_markdown_cell('th...
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{ "lang": "python", "repo": "ctb/papermill", "path": "/papermill/tests/test_api.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: ctb/papermill path: /papermill/tests/test_api.py import unittest import pytest try: from unittest.mock import patch except ImportError: from mock import patch import pandas as pd from pandas.util.testing import assert_frame_equal from nbformat.v4 import new_notebook, new_code_cell, new...
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{ "lang": "python", "repo": "ctb/papermill", "path": "/papermill/tests/test_api.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: withcat-net/sparc path: /utils.py import logging logging.basicConfig(format='%(asctime)s - %(levelname)s - %(name)s - %(message)s', datefmt='%m/%d/%Y %H:%M:%S', level=logging.INFO) logger = logging.getLogger(__name__) <|fim_suffix|> a_set = set([a for a in model_a.keys(...
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{ "lang": "python", "repo": "withcat-net/sparc", "path": "/utils.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> a_set = set([a for a in model_a.keys()]) b_set = set([b for b in model_b.keys()]) if a_set != b_set: logger.info('load with different params =>') if len(a_set - b_set) > 0: logger.info('Loaded weight does not have ' + str(a_set - b_set)) if len(b_set - a_set) > 0: ...
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{ "lang": "python", "repo": "withcat-net/sparc", "path": "/utils.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>dst = np.float32([[WIDTH, HEIGHT], # bottom right [0, HEIGHT], # bottom left [0, 0], # top left [WIDTH, 0]]) # top right<|fim_prefix|># repo: abdullahsalah96/CarND-Advanced-Lane-Lines path: /config.py impor...
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{ "lang": "python", "repo": "abdullahsalah96/CarND-Advanced-Lane-Lines", "path": "/config.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: abdullahsalah96/CarND-Advanced-Lane-Lines path: /config.py import numpy as np WIDTH = 1280 #width of the resized frame HEIGHT = 720 #height of resized frame ym_per_pix = 30 / 720 # meters per pixel in y dimension - should be changed according to setup of each camera xm_per...
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{ "lang": "python", "repo": "abdullahsalah96/CarND-Advanced-Lane-Lines", "path": "/config.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> print('') return loss_eval if __name__ == '__main__': # parse args args = parse_args() # load data args, data_val = load_data(args, dtype, 'val') # setup loss object loss_obj = Loss(args) # initialize the model assert(os.path.isfile(args.model)) print "Vali...
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{ "lang": "python", "repo": "yiyiliao/deep_marching_cubes", "path": "/marching_cube/val.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: yiyiliao/deep_marching_cubes path: /marching_cube/val.py import numpy as np import torch from torch.autograd import Variable import sys import os sys.path.append(os.path.join(os.getcwd(), 'model/cffi')) import matplotlib as mpl mpl.use('Agg') from utils.visualize import save_occupancy_fig, save_m...
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{ "lang": "python", "repo": "yiyiliao/deep_marching_cubes", "path": "/marching_cube/val.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # initialize the model assert(os.path.isfile(args.model)) print "Validating with snapshotted model %s ..." % args.model deep_marching_cubes = torch.load(args.model) if torch.cuda.is_available(): deep_marching_cubes.cuda() # validation loss = run_val(deep_marching_cubes...
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{ "lang": "python", "repo": "yiyiliao/deep_marching_cubes", "path": "/marching_cube/val.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> cand_list: List[Union[CandidateEntry, Tuple[str, float]]], query_info_obj_or_dict: Union[DataEntryFields, dict]) -> Dict[str, float]: """Score, but does not rank, a candidate list obtained from the candidate provider. Note that this func...
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{ "lang": "python", "repo": "oaqa/FlexNeuART", "path": "/flexneuart/ranker/bm25py.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: oaqa/FlexNeuART path: /flexneuart/ranker/bm25py.py # # Copyright 2014+ Carnegie Mellon University # # 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.ap...
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{ "lang": "python", "repo": "oaqa/FlexNeuART", "path": "/flexneuart/ranker/bm25py.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> self.do_lower_case = not keep_case self.query_field_name = query_field_name self.fwd_indx = get_forward_index(resource_manager, index_field_name) self.fwd_parsed_index = get_forward_index(resource_manager, idf_index_field_name) assert self.fwd_parsed_index.indx.is...
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{ "lang": "python", "repo": "oaqa/FlexNeuART", "path": "/flexneuart/ranker/bm25py.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: heidal/apollo path: /backend/apollo/elections/migrations/0007_election_keys.py # Generated by Django 3.0.6 on 2020-05-13 21:06 from django.db import migrations, models <|fim_suffix|> dependencies = [ ("elections", "0006_frozen_to_closed"), ] operations = [ migratio...
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{ "lang": "python", "repo": "heidal/apollo", "path": "/backend/apollo/elections/migrations/0007_election_keys.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> dependencies = [ ("elections", "0006_frozen_to_closed"), ] operations = [ migrations.AddField( model_name="election", name="public_key", field=models.CharField(max_length=64, null=True), ), migrations.AddField( m...
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{ "lang": "python", "repo": "heidal/apollo", "path": "/backend/apollo/elections/migrations/0007_election_keys.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: fsspec/filesystem_spec path: /fsspec/implementations/webhdfs.py # https://hadoop.apache.org/docs/r1.0.4/webhdfs.html import logging import os import secrets import shutil import tempfile import uuid from contextlib import suppress from urllib.parse import quote import requests from ..spec impo...
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{ "lang": "python", "repo": "fsspec/filesystem_spec", "path": "/fsspec/implementations/webhdfs.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> def ls(self, path, detail=False): out = self._call("LISTSTATUS", path=path) infos = out.json()["FileStatuses"]["FileStatus"] for info in infos: self._process_info(info) info["name"] = path.rstrip("/") + "/" + info["pathSuffix"] if detail: ...
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{ "lang": "python", "repo": "fsspec/filesystem_spec", "path": "/fsspec/implementations/webhdfs.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: aarondettmann/modnar-ylgnizama path: /primes/prime.py #!/usr/bin/env python3 # -*- coding: utf-8 -*- import argparse import sys import os from pathlib import Path PROG_NAME = 'prime' HERE = os.path.abspath(os.path.dirname(__file__)) FILE_LAST_PRIME = os.path.join(HERE, '.last_prime') LAST_PR...
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{ "lang": "python", "repo": "aarondettmann/modnar-ylgnizama", "path": "/primes/prime.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> if Path(FILE_LAST_PRIME).exists() and not args.reset: with open(FILE_LAST_PRIME, 'r') as fp: LAST_PRIME = int(fp.readline()) try: print_primes() except KeyboardInterrupt: with open(FILE_LAST_PRIME, 'w') as fp: fp.write(str(LAST_PRIME)) p...
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{ "lang": "python", "repo": "aarondettmann/modnar-ylgnizama", "path": "/primes/prime.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> parser = argparse.ArgumentParser(prog=f'{PROG_NAME}') parser.add_argument('--reset', '-r', action='store_true', help='reset count') args = parser.parse_args() if Path(FILE_LAST_PRIME).exists() and not args.reset: with open(FILE_LAST_PRIME, 'r') as fp: LAST_PRIME = int(...
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{ "lang": "python", "repo": "aarondettmann/modnar-ylgnizama", "path": "/primes/prime.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>project = "simulai" copyright = "2023, IBM" author = "IBM" version = "latest" # -- General configuration extensions = [ "sphinx.ext.napoleon", "sphinx.ext.doctest", "sphinx.ext.autodoc", "sphinx.ext.viewcode", "sphinx.ext.autosectionlabel", ] autodoc_mock_imports = ["mpi4py"] suppre...
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{ "lang": "python", "repo": "IBM/simulai", "path": "/docs/conf.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: IBM/simulai path: /docs/conf.py # Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup ----------------...
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{ "lang": "python", "repo": "IBM/simulai", "path": "/docs/conf.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> `%s`; document.head.appendChild(Alert); """ % (js)<|fim_prefix|># repo: mma1979/photongui path: /photongui/api/alert.py js = """ window.alert = function(r){ window.customAlert(r, windowID) } """ src = """ var Alert = d<|fim_middle|>ocument.createElement("script"); Alert.innerHTML =
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{ "lang": "python", "repo": "mma1979/photongui", "path": "/photongui/api/alert.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: mma1979/photongui path: /photongui/api/alert.py js = """ window.alert = function(r){ window.custo<|fim_suffix|>ocument.createElement("script"); Alert.innerHTML = `%s`; document.head.appendChild(Alert); """ % (js)<|fim_middle|>mAlert(r, windowID) } """ src = """ var Alert = d
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{ "lang": "python", "repo": "mma1979/photongui", "path": "/photongui/api/alert.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: jiwon-choe/Brown-SMCSim path: /SMC/GEM5/utils/python/jsonparser/jsonparser.py import json import sys # Convert json to txt def print_recursive(prefix, d): if isinstance(d, dict): if ( "path" in d.keys() ): prefix = d["path"] for k in d.keys(): if ( p...
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{ "lang": "python", "repo": "jiwon-choe/Brown-SMCSim", "path": "/SMC/GEM5/utils/python/jsonparser/jsonparser.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>if len(sys.argv) > 1: s = sys.argv[1] with open(s) as json_data: d = json.load(json_data) print_recursive("", d)<|fim_prefix|># repo: jiwon-choe/Brown-SMCSim path: /SMC/GEM5/utils/python/jsonparser/jsonparser.py import json import sys # Convert json to txt def print_recursive(pr...
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{ "lang": "python", "repo": "jiwon-choe/Brown-SMCSim", "path": "/SMC/GEM5/utils/python/jsonparser/jsonparser.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: therden/pytest path: /test_wallet.py # test_wallet.py import pytest from wallet import Wallet, InsufficientAmount <|fim_suffix|>@pytest.mark.parametrize("earned,spent,expected", [ (30, 10, 20), (20, 2, 18), ]) def test_transactions(my_wallet, earned, spent, expected): my_wallet.add_...
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{ "lang": "python", "repo": "therden/pytest", "path": "/test_wallet.py", "mode": "psm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|>@pytest.fixture def my_wallet(): '''Returns a Wallet instance with a zero balance''' return Wallet() @pytest.mark.parametrize("earned,spent,expected", [ (30, 10, 20), (20, 2, 18), ]) def test_transactions(my_wallet, earned, spent, expected): my_wallet.add_cash(earned) my_wallet.sp...
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{ "lang": "python", "repo": "therden/pytest", "path": "/test_wallet.py", "mode": "spm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|> my_wallet.add_cash(earned) my_wallet.spend_cash(spent) assert my_wallet.balance == expected<|fim_prefix|># repo: therden/pytest path: /test_wallet.py # test_wallet.py import pytest from wallet import Wallet, InsufficientAmount <|fim_middle|># test_wallet.py @pytest.fixture def my_wallet():...
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{ "lang": "python", "repo": "therden/pytest", "path": "/test_wallet.py", "mode": "spm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|>def redraw_fn(f, ax): img = imgs[f] if not redraw_fn.initialized: redraw_fn.img_handle = ax.imshow(img) redraw_fn.last_time = time.time() redraw_fn.text_handle = ax.text(0., 1 - 0.05, 'Resolution {}x{}, FPS: {:.2f}'.format(...
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{ "lang": "python", "repo": "puren/videofig", "path": "/multiple_img.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: puren/videofig path: /multiple_img.py #! /usr/bin/env python # -*- coding: utf-8 -*- # # Copyright © 2020 bily Huazhong University of Science and Technology # # Distributed under terms of the MIT license. from __future__ import absolute_import from __future__ import division from __...
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{ "lang": "python", "repo": "puren/videofig", "path": "/multiple_img.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: pisskidney/leetcode path: /medium/1302.py from typing import List class TreeNode: def __init__(self, val=0, left=None, right=None): self.val = val self.left = left self.right = right def __repr__(self): return '{}'.format(self.val) class Solution: <|f...
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{ "lang": "python", "repo": "pisskidney/leetcode", "path": "/medium/1302.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> q = [root] res = 0 while q: print(q) res = sum([node.val for node in q]) newq = [] for node in q: if node.left is not None: newq.append(node.left) if node.right is not None: ...
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{ "lang": "python", "repo": "pisskidney/leetcode", "path": "/medium/1302.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ritksm/aliyun-openapi-python-sdk path: /aliyun-python-sdk-emr/aliyunsdkemr/request/v20160408/CreateExecutionPlanRequest.py # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional inform...
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{ "lang": "python", "repo": "ritksm/aliyun-openapi-python-sdk", "path": "/aliyun-python-sdk-emr/aliyunsdkemr/request/v20160408/CreateExecutionPlanRequest.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def get_TimeUnit(self): return self.get_query_params().get('TimeUnit') def set_TimeUnit(self,TimeUnit): self.add_query_param('TimeUnit',TimeUnit) def get_ClusterId(self): return self.get_query_params().get('ClusterId') def set_ClusterId(self,ClusterId): self.add_query_param('Clust...
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{ "lang": "python", "repo": "ritksm/aliyun-openapi-python-sdk", "path": "/aliyun-python-sdk-emr/aliyunsdkemr/request/v20160408/CreateExecutionPlanRequest.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: streamlink/streamlink path: /src/streamlink/utils/path.py from pathlib import Path from shutil import which from typing import List, Optional, Union <|fim_suffix|> custom: Optional[Union[str, Path]] = None, names: Optional[List[str]] = None, fallbacks: Optional[List[Union[str, Path]]...
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{ "lang": "python", "repo": "streamlink/streamlink", "path": "/src/streamlink/utils/path.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> for item in (names or []) + (fallbacks or []): executable = which(item) if executable: return executable return None<|fim_prefix|># repo: streamlink/streamlink path: /src/streamlink/utils/path.py from pathlib import Path from shutil import which from typing import Lis...
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{ "lang": "python", "repo": "streamlink/streamlink", "path": "/src/streamlink/utils/path.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: JmiXIII/ramstk path: /src/ramstk/dao/commondb/RAMSTKCondition.py # * coding: utf8 * # # ramstk.dao.commondb.RAMSTKCondition.py is part of The RAMSTK Project # # All rights reserved. # Copyright 2007 2017 Doyle Rowland doyle.rowland <AT> reliaqual <DOT> com """RAMSTKCondition Table Module."...
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{ "lang": "python", "repo": "JmiXIII/ramstk", "path": "/src/ramstk/dao/commondb/RAMSTKCondition.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> try: self.description = str( none_to_default(attributes['description'], 'Condition Description')) self.cond_type = str( none_to_default(attributes['condition_type'], 'unknown')) except KeyError as _err:...
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{ "lang": "python", "repo": "JmiXIII/ramstk", "path": "/src/ramstk/dao/commondb/RAMSTKCondition.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> # Did we propagate properly? mock_mod.get_files.assert_called_with(QueryDict('test=data')) class DetectObjectsTest(TestCase): @mock.patch('backend.views.object_detector') def test_propagation(self, mock_mod): ''' Tests propagation of the 'detect objects' request....
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{ "lang": "python", "repo": "Software-Engineering-Bachelor-Project/mycroft", "path": "/backend/test/test_unit/test_views.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # Did we propagate properly? mock_mod.export_filter.assert_called_with(42) class ExportClipsTest(TestCase): @mock.patch('backend.views.exporter') def test_propagation(self, mock_mod): ''' Tests propagation of the 'export clips' request. :return: None ...
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{ "lang": "python", "repo": "Software-Engineering-Bachelor-Project/mycroft", "path": "/backend/test/test_unit/test_views.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Software-Engineering-Bachelor-Project/mycroft path: /backend/test/test_unit/test_views.py from django.test import TestCase from django.http import QueryDict, HttpResponse from rest_framework.test import APIRequestFactory import unittest.mock as mock import backend.views as views class FilterCr...
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{ "lang": "python", "repo": "Software-Engineering-Bachelor-Project/mycroft", "path": "/backend/test/test_unit/test_views.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>urlpatterns = [ url(r'^', include(router.urls)), ]<|fim_prefix|># repo: alexitosrv/ralph path: /src/ralph/data_center/urls/api.py # -*- coding: utf-8 -*- from django.conf.urls import include, url from rest_framework import routers from ralph.data_center.views.api import DataCenterAssetViewSet <|fim...
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{ "lang": "python", "repo": "alexitosrv/ralph", "path": "/src/ralph/data_center/urls/api.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: alexitosrv/ralph path: /src/ralph/data_center/urls/api.py # -*- coding: utf-8 -*- from django.conf.urls import include, url from rest_framework import routers <|fim_suffix|>router = routers.DefaultRouter() router.register(r'data-center-assets', DataCenterAssetViewSet) urlpatterns = [ url(r'...
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{ "lang": "python", "repo": "alexitosrv/ralph", "path": "/src/ralph/data_center/urls/api.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: GustikS/PyNeuraLogic path: /neuralogic/utils/visualize/__init__.py from typing import Optional from neuralogic import get_neuralogic from neuralogic.core.settings import Settings from py4j.java_gateway import set_field def get_drawing_settings(img_type="png"): settings = Settings() s...
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{ "lang": "python", "repo": "GustikS/PyNeuraLogic", "path": "/neuralogic/utils/visualize/__init__.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if model.need_sync: model.sync_template() template = model.template template_drawer = get_template_drawer(get_drawing_settings(img_type=img_type)) return draw(template_drawer, template, filename, draw_ipython, *args, **kwargs) def draw_sample(sample, filename: Optional[str] = N...
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{ "lang": "python", "repo": "GustikS/PyNeuraLogic", "path": "/neuralogic/utils/visualize/__init__.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: zhangqianhui/Sparsely-Grouped-GAN path: /config/train_options.py from .options import BaseOptions class TrainOptions(BaseOptions): def initialize(self, parser): parser = BaseOptions.initialize(self, parser) parser.add_argument('--display_freq', type=int, default=100,...
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{ "lang": "python", "repo": "zhangqianhui/Sparsely-Grouped-GAN", "path": "/config/train_options.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>) parser.add_argument('--lam_c', type=float, default=1.0, help='weight for classification') parser.add_argument('--n_critic', type=float, default=5, help='five dilabel_dirscriminator for every generator training') parser.add_argument('--n_att', type=float, default=7, help='numbe...
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{ "lang": "python", "repo": "zhangqianhui/Sparsely-Grouped-GAN", "path": "/config/train_options.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: JucatL/MxPool path: /train.py writer.add_image('graphs', data, epoch) assignment = assign_tensor.cpu().data.numpy() fig = plt.figure(figsize=(8,6), dpi=300) num_clusters = assignment.shape[2] all_colors = np.array(range(num_clusters)) for i in range(len(batch_idx)): ...
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{ "lang": "python", "repo": "JucatL/MxPool", "path": "/train.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def arg_parse(): parser = argparse.ArgumentParser(description='GraphPool arguments.') io_parser = parser.add_mutually_exclusive_group(required=False) io_parser.add_argument('--dataset', dest='dataset', help='Input dataset.') benchmark_parser = io_parser.add_argu...
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{ "lang": "python", "repo": "JucatL/MxPool", "path": "/train.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # log once per XX epochs if epoch % 10 == 0 and batch_idx == len(dataset) // 2 and args.method == 'MxPool' and writer is not None: log_assignment(model.assign_tensor, writer, epoch, writer_batch_idx) if args.log_graph: log_graph(a...
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{ "lang": "python", "repo": "JucatL/MxPool", "path": "/train.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ajax3101/trade_robot path: /trade_robot.py import urllib, http.client import time import json # ці модулі необхідні для генерації підпису API import hmac, hashlib # ввести ключі API, які надала біржа API_KEY = 'YOUR API KEY' # зверніть увагу, що, додана 'b' перед строкою API_SECRET = ‘b'YOUR API ...
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{ "lang": "python", "repo": "ajax3101/trade_robot", "path": "/trade_robot.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> try: # Отримуємо список активних ордерів try: opened_orders = call_api('user_open_orders')[CURRENCY_1 + '_' + CURRENCY_2] except KeyError: if DEBUG: print('Відкритих ордерів намає’) opened_orders = [] sell_orders = [] ...
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{ "lang": "python", "repo": "ajax3101/trade_robot", "path": "/trade_robot.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> pass CURRENT_PAIR = CURRENCY_1 + '_' + CURRENCY_2 # всі звернення до API проходять через дану функцію def call_api(api_method, http_method="POST", **kwargs): payload = {'nonce': int(round(time.time()*1000))} if kwargs: payload.update(kwargs) payload = urllib.parse.urlencode(payloa...
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{ "lang": "python", "repo": "ajax3101/trade_robot", "path": "/trade_robot.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: bcfriesen/BoxLib path: /Tools/F_scripts/write_probin.py #!/usr/bin/env python import sys import string import getopt Header="""\ ! DO NOT EDIT THIS FILE!!! ! ! This file is automatically generated by write_probin.py at ! compile-time. ! ! To add a runtime parameter, do so by editting the approp...
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{ "lang": "python", "repo": "bcfriesen/BoxLib", "path": "/Tools/F_scripts/write_probin.py", "mode": "psm", "license": "BSD-3-Clause-LBNL", "source": "the-stack-v2" }
<|fim_suffix|> #============================================================================= # write_probin will read through the list of parameter files and output # the new outFile #============================================================================= def write_probin(probinTemplate, paramAFiles, paramBFile...
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{ "lang": "python", "repo": "bcfriesen/BoxLib", "path": "/Tools/F_scripts/write_probin.py", "mode": "spm", "license": "BSD-3-Clause-LBNL", "source": "the-stack-v2" }
<|fim_prefix|># repo: hanxiao/jina-app-store-example path: /backend/backend_config.py # in executors.py backend_model = "sentence-transformers/msmarco-distilbert-base-v3" backend_top_k = 10 <|fim_suffix|># dataset dataset_url = "https://github.com/alexcg1/ml-datasets/blob/master/nlp/strategy_games/appstore_games.csv?...
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{ "lang": "python", "repo": "hanxiao/jina-app-store-example", "path": "/backend/backend_config.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|># dataset dataset_url = "https://github.com/alexcg1/ml-datasets/blob/master/nlp/strategy_games/appstore_games.csv?raw=true" dataset_filename = 'appstore_games.csv'<|fim_prefix|># repo: hanxiao/jina-app-store-example path: /backend/backend_config.py # in executors.py backend_model = "sentence-transformer...
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{ "lang": "python", "repo": "hanxiao/jina-app-store-example", "path": "/backend/backend_config.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: scieloorg/Logger path: /tests/test_inspector.py try: from unittest.mock import patch except ImportError: from mock import patch from logger.inspector import Inspector from unittest import TestCase class MockCollection(object): def __init__(self, website_id, collection_id, website_...
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{ "lang": "python", "repo": "scieloorg/Logger", "path": "/tests/test_inspector.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> insp = Inspector('/var/www/scielo.br/2015-12-30_scielo.br.log.gz') self.assertTrue(insp._is_valid_date()) def test_is_valid_date_in_filename_false(self): insp = Inspector('/var/www/scielo.br/2015-31-12_scielo.br.log.gz') self.assertFalse(insp._is_valid_date()) def...
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{ "lang": "python", "repo": "scieloorg/Logger", "path": "/tests/test_inspector.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> normal_slice1 = content[:11] smart_slice1 = diff.smart_slice(10) assert smart_slice1[-1] == normal_slice1[-1] assert len(smart_slice1) == len(normal_slice1) and len(smart_slice1) <= 15 # noqa normal_slice2 = content[:31] smart_slice2 = diff.smart_slice(30)...
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{ "lang": "python", "repo": "msdgwzhy6/code", "path": "/tests/test_diff.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: msdgwzhy6/code path: /tests/test_diff.py # -*- coding: utf-8 -*- import os import shutil from vilya.models.project import CodeDoubanProject from vilya.models import git from tests.base import TestCase from vilya.libs import gyt from vilya.libs.diff import rehunk, linehtml from vilya.libs.perm...
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{ "lang": "python", "repo": "msdgwzhy6/code", "path": "/tests/test_diff.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> repo = self._repo('test_diff_smart_slice.txt', bare=False) content1 = 'a\n' * 100 content2 = 'a\n' * 5 + 'b\n' * 10 + 'a\n' * 20 + 'b\n' * 40 c1_sha = self._commit(repo, 'testfile', content1, 'msg1') c2_sha = self._commit(repo, 'testfile', content2, 'msg2') ...
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{ "lang": "python", "repo": "msdgwzhy6/code", "path": "/tests/test_diff.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: mutalimov95/fastapi-mongodb-example path: /app/app/tests/conftest.py import pytest from app.core.config import settings from app.db.mongodb import db from app.tests.utils.user import authentication_token_from_email from app.tests.utils.utils import get_server_api, get_superuser_token_headers @...
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{ "lang": "python", "repo": "mutalimov95/fastapi-mongodb-example", "path": "/app/app/tests/conftest.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def db_teardown(): db.close_mongo_connection() request.addfinalizer(db_teardown)<|fim_prefix|># repo: mutalimov95/fastapi-mongodb-example path: /app/app/tests/conftest.py import pytest from app.core.config import settings from app.db.mongodb import db from app.tests.utils.user import au...
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{ "lang": "python", "repo": "mutalimov95/fastapi-mongodb-example", "path": "/app/app/tests/conftest.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def logdir(self): return(self.log_dir) def advanced_search_file(self, my_file): advanced_search_response_file = self.advanced_search_dir \ + "/" + config['defaults']['OUTPUT'] + my_file return(advanced_search_response_file) def prop_id_search_file(self, my...
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{ "lang": "python", "repo": "jfrerich/getrealty", "path": "/getrealty/mydirs.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: jfrerich/getrealty path: /getrealty/mydirs.py import logging import os import pprint import getrealty.settings pp = pprint.PrettyPrinter(width=1) config = getrealty.settings.config logger = logging.getLogger(__name__) class MyDirs(object): """Class for creating necessary directories fo...
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{ "lang": "python", "repo": "jfrerich/getrealty", "path": "/getrealty/mydirs.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def buildmydirs(self): for dir in (self.cache_dir, self.advanced_search_dir, self.excel_dir): print('dir = ', dir) try: os.makedirs(dir, exist_ok=True) except Exception: print("Creation of the directory %s failed" % dir) ...
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{ "lang": "python", "repo": "jfrerich/getrealty", "path": "/getrealty/mydirs.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: jamesabel/hello_briefcase path: /hello_briefcase/app.py import os import sysconfig import _osx_support import datetime import site import glob import sys from pprint import pprint # TODO: THIS IS JUST A TEST FOR import ssl - DELETE THIS #import ssl #exit() import hello_briefcase.spafit for m ...
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hard
{ "lang": "python", "repo": "jamesabel/hello_briefcase", "path": "/hello_briefcase/app.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|># this is the error I get: #Traceback (most recent call last): # File "/Users/james/projects/pycon_projects/hello_briefcase/hello_briefcase/macOS/hello_briefcase.app/Contents/Resources/python/lib/python3.5/runpy.py", line 193, in _run_module_as_main # "__main__", mod_spec) # File "/Users/james/projec...
code_fim
hard
{ "lang": "python", "repo": "jamesabel/hello_briefcase", "path": "/hello_briefcase/app.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def main_loop(self): hello_message = 'hello briefcase!!!' file_path = '/Users/james/projects/pycon_projects/hello_briefcase/hello_briefcase/hello_briefcase.txt' out = [hello_message, str(datetime.datetime.now()), file_path] with open(file_path, 'w') as f: fo...
code_fim
medium
{ "lang": "python", "repo": "jamesabel/hello_briefcase", "path": "/hello_briefcase/app.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: bennpham/ann-arbor path: /config/app.py from os.path import dirname, realpath, <|fim_suffix|>DIR = path_join(PROJECT_ROOT, 'audits')<|fim_middle|>join as path_join PROJECT_ROOT = dirname(dirname(realpath(__file__))) AUDITS_
code_fim
medium
{ "lang": "python", "repo": "bennpham/ann-arbor", "path": "/config/app.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: bennpham/ann-arbor path: /config/app.py from os.path import dirname, realpath, join as path_join PROJECT_ROOT = dirna<|fim_suffix|>DIR = path_join(PROJECT_ROOT, 'audits')<|fim_middle|>me(dirname(realpath(__file__))) AUDITS_
code_fim
easy
{ "lang": "python", "repo": "bennpham/ann-arbor", "path": "/config/app.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>DIR = path_join(PROJECT_ROOT, 'audits')<|fim_prefix|># repo: bennpham/ann-arbor path: /config/app.py from os.path import dirname, realpath, <|fim_middle|>join as path_join PROJECT_ROOT = dirname(dirname(realpath(__file__))) AUDITS_
code_fim
medium
{ "lang": "python", "repo": "bennpham/ann-arbor", "path": "/config/app.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> try: self._validate.queue_listing(**kwargs) results = self._queue_controller.list( project=project_id, **kwargs) except validation.ValidationFailed as ex: LOG.debug(ex) headers = {'status': 400} return api_utils.er...
code_fim
hard
{ "lang": "python", "repo": "Embedded4development/zaqar", "path": "/zaqar/api/v1_1/endpoints.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: Embedded4development/zaqar path: /zaqar/api/v1_1/endpoints.py # Copyright (c) 2015 Red Hat, Inc. # # 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.apac...
code_fim
hard
{ "lang": "python", "repo": "Embedded4development/zaqar", "path": "/zaqar/api/v1_1/endpoints.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }