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<|fim_suffix|> if self.viewer is not None: self.viewer.close() return _Hover._reset(self) def render(self, mode='human'): from gym_copter.rendering.twod import TwoDHoverRenderer # Create viewer if not done yet if self.viewer is None: se...
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{ "lang": "python", "repo": "simondlevy/gym-copter", "path": "/attic/gym_copter/envs/hover1d.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if updates['state'] == kubernetes.KUBE_UPGRADE_DOWNLOADING_IMAGES: # Make sure upgrade is in the correct state to download images if kube_upgrade_obj.state not in [ kubernetes.KUBE_UPGRADE_STARTED, kubernetes.KUBE_UPGRADE_DOWNLOADING_...
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{ "lang": "python", "repo": "Wind-River/starlingx-config", "path": "/sysinv/sysinv/sysinv/sysinv/api/controllers/v1/kube_upgrade.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: Wind-River/starlingx-config path: /sysinv/sysinv/sysinv/sysinv/api/controllers/v1/kube_upgrade.py # # Copyright (c) 2019 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # import pecan from pecan import rest import os import six import wsme from wsme import types as wtypes import...
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{ "lang": "python", "repo": "Wind-River/starlingx-config", "path": "/sysinv/sysinv/sysinv/sysinv/api/controllers/v1/kube_upgrade.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> """API representation of a collection of kubernetes upgrades.""" kube_upgrades = [KubeUpgrade] "A list containing kubernetes upgrade objects" def __init__(self, **kwargs): self._type = 'kube_upgrades' @classmethod def convert_with_links(cls, rpc_kube_upgrade, expand=True...
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{ "lang": "python", "repo": "Wind-River/starlingx-config", "path": "/sysinv/sysinv/sysinv/sysinv/api/controllers/v1/kube_upgrade.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>valuelist = re.compile(r'\<form\s+action=\x22\/goform\/RouterStatus\?id=(\d+)\x22\s+method=\x22post') id = valuelist.search(r.text).group(1) reboot_url = NETGEAR_RESET_URL + id payload={'buttonSelect':'2','wantype':'dhcp','enable_apmode':'0'} r = client.post(reboot_url, data=payload, auth=(USERNAME,PASSW...
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{ "lang": "python", "repo": "NateShoffner/netgear_cm700_status", "path": "/ngcm700_reboot.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: NateShoffner/netgear_cm700_status path: /ngcm700_reboot.py #!/usr/bin/env python import requests from requests.auth import HTTPBasicAuth import sys from config import * import re client = requests.Session() r = client.get(NETGEAR_URL) r = client.get(NETGEAR_ROUTER_STATUS_URL, auth=(USERNAME,PASS...
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{ "lang": "python", "repo": "NateShoffner/netgear_cm700_status", "path": "/ngcm700_reboot.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|># Find out how much property 64969892 is worth zpid = '64969892' URL = "http://www.zillow.com/webservice/GetZestimate.htm?zws-id=%s&zpid=%s" % (KEY,zpid) print(URL) response = requests.get(URL) xmldata = response.text xml = untangle.parse(xmldata) print("URL", xml.Zestimate_zestimate.response.links.homed...
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{ "lang": "python", "repo": "Akramz/msds692", "path": "/notes/code/zillow/zestimate.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Akramz/msds692 path: /notes/code/zillow/zestimate.py # REGISTER: https://www.zillow.com/user/Register.htm # API REGISTER: https://www.zillow.com/webservice/Registration.htm # API DOC: http://www.zillow.com/howto/api/APIOverview.htm # This one does not get captcha Sept 2017 import sys import unt...
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{ "lang": "python", "repo": "Akramz/msds692", "path": "/notes/code/zillow/zestimate.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>haloID = finddisk_135() #a2>0.2 halos number bar02 = 0 allhalo = 0 for i in haloID: if allhalo%100 == 0: print(allhalo) try: temp = np.load('/Raid0/zhouzb/A2_all/%d.npy'%i,'r') except FileNotFoundError: continue else: allhalo += 1 rlist ...
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{ "lang": "python", "repo": "Max-astro/A2Project", "path": "/history/fraction.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Max-astro/A2Project path: /history/fraction.py import h5py import numpy as np import matplotlib.pyplot as plt def finddisk_135(): '''Return a list of all Disk galaxies in this snapshot''' with h5py.File('/Raid0/zhouzb/stellar_circs.hdf5','r') as cir: return np.array(cir['S...
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{ "lang": "python", "repo": "Max-astro/A2Project", "path": "/history/fraction.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> elif data == 'half_r': with h5py.File('/Raid1/Illustris/Illustris-1/Groupcat/groups_135.0.hdf5','r') as f: half_r = np.array(f['Subhalo']['SubhaloHalfmassRadType'][:,4]) for n in range(1,8): with h5py.File('/Raid1/Illustris/Illustris-1/Groupcat/groups_135.%d...
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{ "lang": "python", "repo": "Max-astro/A2Project", "path": "/history/fraction.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: uli-ai/malt path: /malt/tests/test_point.py import pytest def test_import(): from malt import point def test_build_point(): <|fim_suffix|> p = Point("C") def test_featurize(): import dgl from malt.point import Point p = Point("C") p.featurize() assert p.is_featur...
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{ "lang": "python", "repo": "uli-ai/malt", "path": "/malt/tests/test_point.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: uli-ai/malt path: /malt/tests/test_point.py import pytest def test_import(): <|fim_suffix|> p = Point("C") p.featurize() assert p.is_featurized() assert isinstance( p.g, dgl.DGLGraph, )<|fim_middle|> from malt import point def test_build_point(): from...
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{ "lang": "python", "repo": "uli-ai/malt", "path": "/malt/tests/test_point.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def test_featurize(): import dgl from malt.point import Point p = Point("C") p.featurize() assert p.is_featurized() assert isinstance( p.g, dgl.DGLGraph, )<|fim_prefix|># repo: uli-ai/malt path: /malt/tests/test_point.py import pytest def test_import(): <|fi...
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{ "lang": "python", "repo": "uli-ai/malt", "path": "/malt/tests/test_point.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: osw4l/villas-de-san-pablo path: /apps/empleabilidad/models.py from django.db import models from django.urls import reverse_lazy from . import constants # Create your models here. class Vacante(models.Model): cargo = models.CharField(max_length=255) salario = models.PositiveIntegerField(...
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{ "lang": "python", "repo": "osw4l/villas-de-san-pablo", "path": "/apps/empleabilidad/models.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def __str__(self): return '{} creado en {}'.format( self.nombre_programa, self.fecha_creacion ) def get_update_url(self): return reverse_lazy('empleabilidad:editar_formacion_trabajo', kwargs={ ...
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{ "lang": "python", "repo": "osw4l/villas-de-san-pablo", "path": "/apps/empleabilidad/models.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: keik/audiotrans-transform-istft path: /tests/tests.py # -*- coding: utf-8 -*- import pytest import wave import numpy as np from audiotrans_transform_stft import STFTTransform from audiotrans_transform_istft import ISTFTTransform def test_accept_arg_of_verbose(): ISTFTTransform(['-v']) # n...
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{ "lang": "python", "repo": "keik/audiotrans-transform-istft", "path": "/tests/tests.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> stft_matrix = np.concatenate((stft_matrix, stft_matrix[-2:0:-1].conj()), 0) window_size, cols = stft_matrix.shape win = np.hamming(window_size) win_square = win ** 2 x = np.zeros(window_size + (cols - 1) * hop_size) win_sum = np.zeros(window_size + (cols - 1) * hop_size) for ...
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{ "lang": "python", "repo": "keik/audiotrans-transform-istft", "path": "/tests/tests.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # ISTFT on batch istft_wave = istft(stft_matrix, hop_size) # assert equal between ISTFT on batch and stream assert (transformed == istft_wave[:len(transformed)]).all() def istft(stft_matrix, hop_size): stft_matrix = np.concatenate((stft_matrix, stft_matrix[-2:0:-1].conj()), 0) w...
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{ "lang": "python", "repo": "keik/audiotrans-transform-istft", "path": "/tests/tests.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> in_file = open("development/TEST_N4333.kml", "rb") data = in_file.read() in_file.close() self.dwd_weather.parse_kml(data) self.assertEqual(self.dwd_weather.forecast_data, parsed_data)<|fim_prefix|># repo: franz-53/simple_dwd_weatherforecast path: /tests/test_parsek...
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{ "lang": "python", "repo": "franz-53/simple_dwd_weatherforecast", "path": "/tests/test_parsekml.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: franz-53/simple_dwd_weatherforecast path: /tests/test_parsekml.py import unittest from simple_dwd_weatherforecast import dwdforecast from tests.dummy_data import parsed_data <|fim_suffix|> in_file = open("development/TEST_N4333.kml", "rb") data = in_file.read() in_file.cl...
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{ "lang": "python", "repo": "franz-53/simple_dwd_weatherforecast", "path": "/tests/test_parsekml.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: schwanberger/projectEuler path: /python/p35.py # Circular primes # Problem 35 # The number, 197, is called a circular prime because all rotations of the digits: 197, 971, and 719, are themselves prime. # # There are thirteen such primes below 100: 2, 3, 5, 7, 11, 13, 17, 31, 37, 71, 73, 79, and...
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{ "lang": "python", "repo": "schwanberger/projectEuler", "path": "/python/p35.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>limit = 1000000 primeSet = set(sieve(limit)) circularPrimeSet = set() for prime in primeSet: if prime in circularPrimeSet: continue testPrimes = set(rotateNum(prime)) if testPrimes.issubset(primeSet): for testPrime in testPrimes: circularPrimeSet.add(testPrime) print len(...
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{ "lang": "python", "repo": "schwanberger/projectEuler", "path": "/python/p35.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> with open(filepath, 'r') as f: code = f.read() code = re.sub(re.compile("/\*.*?\*/", re.DOTALL), "", code) code = re.sub(r"(/\*([^*]|[\r\n]|(\*+([^*/]|[\r\n])))*\*+/)|(//.*?$)", "", code, flags=re.MULTILINE) self.tokens=set() try: for token i...
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{ "lang": "python", "repo": "iotempire/iotempower", "path": "/bin/command_checker.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if __name__ == "__main__": if len(sys.argv) != 3: print("Usage: command_checker.py <file_to_check> <commands_file>") sys.exit(1) filepath = sys.argv[1] commands_file = sys.argv[2] commands = {} with open(commands_file, 'r') as f: for line in f: w...
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{ "lang": "python", "repo": "iotempire/iotempower", "path": "/bin/command_checker.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: iotempire/iotempower path: /bin/command_checker.py #!/usr/bin/env python # Do a rough tokenization of the given input source file and check which # of the given commands are used in this code. # Prints out the found commands as a list of defines to be included. # The commands-input file must give...
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{ "lang": "python", "repo": "iotempire/iotempower", "path": "/bin/command_checker.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: MrZhang1994/mobile-federated-learning path: /src/utils/pg_pn.py import numpy as np import random import torch import torch.nn as nn import torch.nn.functional as F import math import copy import sys, os sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) import utils.Poi...
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{ "lang": "python", "repo": "MrZhang1994/mobile-federated-learning", "path": "/src/utils/pg_pn.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> self.device = torch.device("cuda:" + str(config.device_No) if torch.cuda.is_available() else "cpu") self.embedding_dim = embedding_dim self.hidden_dim = hidden_dim self.lstm_layers = lstm_layers self.Actor = ANetProb(embedding_dim, hidden_dim, lstm_layers) ...
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{ "lang": "python", "repo": "MrZhang1994/mobile-federated-learning", "path": "/src/utils/pg_pn.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> import numpy as np from .utils import check_array, check_random_state, as_float_array from .utils.extmath import safe_sparse_dot from .utils.validation import check_is_fitted check_is_fitted(self, 'random_weights_') X =...
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{ "lang": "python", "repo": "bbdamodaran/PRFF", "path": "/prff.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> from .utils import check_array, check_random_state, as_float_array from .utils.extmath import safe_sparse_dot from .utils.validation import check_is_fitted check_is_fitted(self, 'random_weights_') X = check_array(X, accept_sparse=...
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{ "lang": "python", "repo": "bbdamodaran/PRFF", "path": "/prff.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: bbdamodaran/PRFF path: /prff.py import numpy from sklearn.kernel_approximation import RBFSampler from sklearn.metrics.pairwise import rbf_kernel from sklearn.base import clone import pylab import time __author__ = 'Romain Tavenard romain.tavenard[at]univ-rennes2.fr' class PRFF(RBFSampl...
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{ "lang": "python", "repo": "bbdamodaran/PRFF", "path": "/prff.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: hughperkins/pub-prototyping path: /cython/test1/run_hello.py #!/usr/bin/python from __future__ import print_function #import hello import array #hello.say_hello('foo') <|fim_suffix|>a = pymycpp.PyMyClass() print(a.warpName('blah')) b = pymycpp.PyMyClass(12) print( pymycpp.addFloats(3.5,2....
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{ "lang": "python", "repo": "hughperkins/pub-prototyping", "path": "/cython/test1/run_hello.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>#import pymyc #print( pymyc.doSomething(5) ) import pymycpp #print( type( 'foo') ) #print( isinstance( 'foo', str ) ) #print( isinstance( u'foo', str ) ) #print( isinstance( 'foo', unicode ) ) #print( isinstance( u'foo', unicode ) ) pymycpp.sayName('foo') a = pymycpp.PyMyClass() print(a.warpName('bla...
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{ "lang": "python", "repo": "hughperkins/pub-prototyping", "path": "/cython/test1/run_hello.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: MichaelBrunn3r/cdpy path: /cdpy/cdp/target.py r of attached debugging session.""" def __repr__(self): return f"SessionID({super().__repr__()})" @dataclasses.dataclass class TargetInfo: """ Attributes ---------- targetId: TargetID type: str title: str url...
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{ "lang": "python", "repo": "MichaelBrunn3r/cdpy", "path": "/cdpy/cdp/target.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: MichaelBrunn3r/cdpy path: /cdpy/cdp/target.py ss class TargetInfo: """ Attributes ---------- targetId: TargetID type: str title: str url: str attached: bool Whether the target has an attached client. canAccessOpener: bool Whether the tar...
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{ "lang": "python", "repo": "MichaelBrunn3r/cdpy", "path": "/cdpy/cdp/target.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> sessionId: SessionID message: str targetId: Optional[TargetID] = None @classmethod def from_json(cls, json: dict) -> ReceivedMessageFromTarget: return cls( SessionID(json["sessionId"]), json["message"], TargetID(json["targetId"]) if "targetI...
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{ "lang": "python", "repo": "MichaelBrunn3r/cdpy", "path": "/cdpy/cdp/target.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: onap/vnfsdk-pkgtools path: /tests/vnfreq/test_vnfreq.py # Copyright (c) 2018 Intel Corp. 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": "onap/vnfsdk-pkgtools", "path": "/tests/vnfreq/test_vnfreq.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def _do_check(self, reader, tosca): return 'error' def test_check_and_print(mocker): mocker.patch('vnfsdk_pkgtools.vnfreq.get_vnfreq_tester', new=FakeTester) ret = vnfreq.check_and_print(['fake'], mocker.Mock(), mocker.Mock()) assert ret == 1<|fim_prefix|># repo: onap/vnfsdk-pkgt...
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{ "lang": "python", "repo": "onap/vnfsdk-pkgtools", "path": "/tests/vnfreq/test_vnfreq.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def test_wrong_json(self): self.assertRaises(json.decoder.JSONDecodeError, model.ConfigManager, self.path3) def test_sanitize_ok(self): self.assertEqual( model.ConfigManager(self.path1).sanitize( { "input": (1, (list, ("archive",), m...
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{ "lang": "python", "repo": "albanb/tribud", "path": "/tests/model_test.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: albanb/tribud path: /tests/model_test.py fig.py module. """ # pylint: disable=missing-function-docstring # No need to add a docstring to each tests. import os.path import unittest import shutil import json import sys from context import model class UtilsTest(unittest.TestCase): """ Thi...
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{ "lang": "python", "repo": "albanb/tribud", "path": "/tests/model_test.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: albanb/tribud path: /tests/model_test.py ction-docstring # No need to add a docstring to each tests. import os.path import unittest import shutil import json import sys from context import model class UtilsTest(unittest.TestCase): """ This class will test the model functions. """ ...
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{ "lang": "python", "repo": "albanb/tribud", "path": "/tests/model_test.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: pootle/pyweb path: /examples/piCamera/camRecorder.py acktime' : 0, # target time for video to start before trigger 'vr_forwtime' : 3, # target time for video to carry on after trigger stops 'vr_record_limit':20, # max len...
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{ "lang": "python", "repo": "pootle/pyweb", "path": "/examples/piCamera/camRecorder.py", "mode": "psm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|> def processfiles(self, data): print('processfiles requests', data) if self.procthread is None: self.procqueue=queue.Queue() self.procthread=threading.Thread(name='video_record', target=self.fileprocessor, kwargs={'q': self.procqueue}) self.procthread...
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{ "lang": "python", "repo": "pootle/pyweb", "path": "/examples/piCamera/camRecorder.py", "mode": "spm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_prefix|># repo: pootle/pyweb path: /examples/piCamera/camRecorder.py mport threading, queue, time, pathlib, shutil from subprocess import Popen, PIPE from flask import jsonify from flaskextras import Webpart class VideoRecorder(Webpart): """ Records H264 on demand. It uses triggers to start rec...
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{ "lang": "python", "repo": "pootle/pyweb", "path": "/examples/piCamera/camRecorder.py", "mode": "psm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_prefix|># repo: irff/summarizer path: /app.py import random import errno import os import sys from summarizer import Summarizer from googletrans import Translator from settings import CHANNEL_SECRET, CHANNEL_ACCESS_TOKEN from argparse import ArgumentParser from flask import Flask, request, abort from linebot imp...
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{ "lang": "python", "repo": "irff/summarizer", "path": "/app.py", "mode": "psm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|> if __name__ == "__main__": # arg_parser = ArgumentParser( # usage='Usage: python ' + __file__ + ' [--port <port>] [--help]' # ) # arg_parser.add_argument('-p', '--port', default=8000, help='port') # arg_parser.add_argument('-d', '--debug', default=False, help='debug') # option...
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{ "lang": "python", "repo": "irff/summarizer", "path": "/app.py", "mode": "spm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|> if 'role' in metafunc.fixturenames: metafunc.parametrize('role', get_roles())<|fim_prefix|># repo: bibliosansfrontieres/cdn-ideascube path: /tests/conftest.py import os def get_files(extension): for root, dirnames, filenames in os.walk('.'): for filename in filenames: ...
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{ "lang": "python", "repo": "bibliosansfrontieres/cdn-ideascube", "path": "/tests/conftest.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if 'jinja2_file' in metafunc.fixturenames: metafunc.parametrize('jinja2_file', get_files('.j2')) if 'json_file' in metafunc.fixturenames: metafunc.parametrize('json_file', get_files('.fact')) if 'role' in metafunc.fixturenames: metafunc.parametrize('role', get_roles()...
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{ "lang": "python", "repo": "bibliosansfrontieres/cdn-ideascube", "path": "/tests/conftest.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: bibliosansfrontieres/cdn-ideascube path: /tests/conftest.py import os def get_files(extension): for root, dirnames, filenames in os.walk('.'): for filename in filenames: if filename.endswith(extension): yield os.path.join(root, filename) def get_roles()...
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{ "lang": "python", "repo": "bibliosansfrontieres/cdn-ideascube", "path": "/tests/conftest.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> while heap and A < l and B < l: _, cost = heappop(heap) if cost[0] <= cost[1]: A += 1 ans += cost[0] else: B += 1 ans += cost[1] # Remaining elements index = 0 if A < B else...
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{ "lang": "python", "repo": "saisankargochhayat/algo_quest", "path": "/leetcode/1029. Two City Scheduling/soln.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: saisankargochhayat/algo_quest path: /leetcode/1029. Two City Scheduling/soln.py # Plain old sorting by difference of A and B. class Solution: def twoCitySchedCost(self, costs: List[List[int]]) -> int: <|fim_suffix|> while heap and A < l and B < l: _, cost = heappop(heap) ...
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{ "lang": "python", "repo": "saisankargochhayat/algo_quest", "path": "/leetcode/1029. Two City Scheduling/soln.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def twoCitySchedCost(self, costs: List[List[int]]) -> int: import heapq A, B, l, ans = 0, 0, len(costs)/2, 0 heap = [] for cost in costs: diff = abs(cost[1] - cost[0]) heappush(heap, (-diff, cost)) while heap and A < l and B < l:...
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{ "lang": "python", "repo": "saisankargochhayat/algo_quest", "path": "/leetcode/1029. Two City Scheduling/soln.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: kairoaraujo/PowerAdm path: /poweradm/mkosdeploy.py #!/usr/bin/env python # -*- coding: utf-8 -*- """ PowerAdm mkosdeploy.py Copyright (c) 2014-2016 Kairo Araujo. It was created for personal use. There are no guarantees of the author. Use at your own risk. Permission to use, copy, modify, and d...
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{ "lang": "python", "repo": "kairoaraujo/PowerAdm", "path": "/poweradm/mkosdeploy.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> f_nim_exe.write('\n\necho "Getting the Mac Address from %s-%s"\n' % (self.lparprefix, self.lparname)) f_nim_exe.write('echo "This might take a few minutes..."\n') f_nim_exe.write('\n\nmac_address=$(ssh -l poweradm %s ' ...
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{ "lang": "python", "repo": "kairoaraujo/PowerAdm", "path": "/poweradm/mkosdeploy.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: lvchigo/keras_imagenet path: /predict_image.py """predict_image.py This script is for testing a trained Keras ImageNet model. Example usage: $ python3 predict_image.py saves/googlenet_bn-model-final.h5 \ sample.jpg """ import argparse import numpy as np impor...
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{ "lang": "python", "repo": "lvchigo/keras_imagenet", "path": "/predict_image.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>from utils.utils import config_keras_backend, clear_keras_session from models.adamw import AdamW def parse_args(): """Parse command-line arguments.""" parser = argparse.ArgumentParser() parser.add_argument('model', help='e.g. saves/googlenet_bn-model-final.h5') pa...
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{ "lang": "python", "repo": "lvchigo/keras_imagenet", "path": "/predict_image.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> args = parse_args() # load the cls_list (index to class name) with open('data/synset_words.txt') as f: cls_list = sorted(f.read().splitlines()) config_keras_backend() # load the trained model net = tf.keras.models.load_model( args.model, compile=False, ...
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{ "lang": "python", "repo": "lvchigo/keras_imagenet", "path": "/predict_image.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> game_engine = GameEngine(scene_stack) game_engine.run() if __name__ == "__main__": main()<|fim_prefix|># repo: RippeR37/PyPong path: /PyPong.py from Systems.Engine.GameEngine import GameEngine from Systems.Engine.SceneStack import SceneStack from Systems.Scenes.MenuScene import MenuScene ...
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{ "lang": "python", "repo": "RippeR37/PyPong", "path": "/PyPong.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: RippeR37/PyPong path: /PyPong.py from Systems.Engine.GameEngine import GameEngine from Systems.Engine.SceneStack import SceneStack from Systems.Scenes.MenuScene import MenuScene <|fim_suffix|>if __name__ == "__main__": main()<|fim_middle|>def main(): scene_stack = SceneStack() scene...
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{ "lang": "python", "repo": "RippeR37/PyPong", "path": "/PyPong.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: riag/easy-wrk path: /easywrk/common.py #coding:utf8 import os import sys import attr import logging import base64 from pathlib import Path from requests import Request from dotenv import load_dotenv from jinja2 import Environment, FileSystemLoader import requests from typing import List, Dict,...
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{ "lang": "python", "repo": "riag/easy-wrk", "path": "/easywrk/common.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> if name.startswith('/'): raise BuildRequestException(f"field [{field.name}] cannot start with [/]") if name.endswith('/'): name = name[0:-1] if name in finish_fields: raise BuildRequestException(f"field [{field.name}] already in json data") ...
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{ "lang": "python", "repo": "riag/easy-wrk", "path": "/easywrk/common.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: c-goldschmidt/FLShipMatrix path: /importer/importer/timer.py import time class Timer(object): def __init__(self, logger_fnc): <|fim_suffix|> def step(self, message): self._format_message(message) self.timers[self.level] = time.clock() def stop(self, message): ...
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{ "lang": "python", "repo": "c-goldschmidt/FLShipMatrix", "path": "/importer/importer/timer.py", "mode": "psm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|> self.step(message) self.level -= 1 def _format_message(self, message): delta = time.clock() - self.timers[self.level] self.logger_fnc('[{:.3f}s] {}'.format(delta, message))<|fim_prefix|># repo: c-goldschmidt/FLShipMatrix path: /importer/importer/timer.py import time ...
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{ "lang": "python", "repo": "c-goldschmidt/FLShipMatrix", "path": "/importer/importer/timer.py", "mode": "spm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_prefix|># repo: madcowfred/evething path: /import_masteries.py #!/usr/bin/env python # ------------------------------------------------------------------------------ # Copyright (c) 2010-2013, EVEthing team # All rights reserved. # # Redistribution and use in source and binary forms, with or without modification...
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{ "lang": "python", "repo": "madcowfred/evething", "path": "/import_masteries.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> ship_masteries = {} for row in self.cursor: if row[1] > 0: if row[3] not in ship_masteries: ship_masteries[row[3]] = { 'typeID': row[3], 'name': row[4], 'masteries': {} ...
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{ "lang": "python", "repo": "madcowfred/evething", "path": "/import_masteries.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> self.cursor.execute(""" SELECT s.skillID, s.skillLevel, m.masteryLevel, t.typeID, t.typeName FROM certSkills AS s JOIN certMasteries AS m ON s.certId = m.certID AND s.certLevelInt = m.masteryLevel JOIN invTypes AS t on m.typeId = t.typeID """...
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{ "lang": "python", "repo": "madcowfred/evething", "path": "/import_masteries.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: ragoragino/py-hawkes path: /examples/pyhawkes_import.py import sys import os # Appending directory above the current one to the sys.path cur_dir = os.path.dirname(os.path.realpath<|fim_suffix|>oin(split_dir[:-1]) sys.path.append(above_dir) import pyhawkes<|fim_middle|>(__file__)) split_dir = cur...
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{ "lang": "python", "repo": "ragoragino/py-hawkes", "path": "/examples/pyhawkes_import.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>oin(split_dir[:-1]) sys.path.append(above_dir) import pyhawkes<|fim_prefix|># repo: ragoragino/py-hawkes path: /examples/pyhawkes_import.py import sys import os # Appending directory above the current <|fim_middle|>one to the sys.path cur_dir = os.path.dirname(os.path.realpath(__file__)) split_dir = cur...
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{ "lang": "python", "repo": "ragoragino/py-hawkes", "path": "/examples/pyhawkes_import.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: sevdimali/fast-tools path: /tests/test_limit.py import asyncio import time import aioredis # type: ignore import pytest from requests import Response # type: ignore from starlette.testclient import TestClient from example.limit import app from fast_tools.base.redis_helper import RedisHelper f...
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{ "lang": "python", "repo": "sevdimali/fast-tools", "path": "/tests/test_limit.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> response = client.get("/decorator?user=user1") assert response.json() == {"Hello": "World"} response = client.get("/decorator?user=user1") assert response.status_code == 429 for _ in range(2): response = client.get("/decorator?us...
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{ "lang": "python", "repo": "sevdimali/fast-tools", "path": "/tests/test_limit.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> return { 'id': self.id, 'key': self.key, 'name': self.name, 'description': self.description, 'active': self.active, } def apply_dict(self, values): self.id = values.get('id', None) self.key = values.get('key',...
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{ "lang": "python", "repo": "Longi94/rl-loadout", "path": "/backend/entity/api_key.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def apply_dict(self, values): self.id = values.get('id', None) self.key = values.get('key', None) self.name = values.get('name', None) self.description = values.get('description', None) self.active = values.get('active', False)<|fim_prefix|># repo: Longi94/rl-lo...
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{ "lang": "python", "repo": "Longi94/rl-loadout", "path": "/backend/entity/api_key.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: Longi94/rl-loadout path: /backend/entity/api_key.py from sqlalchemy import Column, String, Boolean, Integer from .base import Base class ApiKey(Base): __tablename__ = 'api_key' id = Column(Integer, primary_key=True) key = Column(String(32), nullable=False, unique=True) name = C...
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{ "lang": "python", "repo": "Longi94/rl-loadout", "path": "/backend/entity/api_key.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: Athenian-ComputerScience-Fall2020/tic-tac-toe-ChienT1993 path: /my_code.py # Collaborators (including web sites where you got help: https://www.w3schools.com/python/default.asp # # A note on style: Dictionaries can be defined before or after functions. import random board = {'TL': ' ', 'TM': '...
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{ "lang": "python", "repo": "Athenian-ComputerScience-Fall2020/tic-tac-toe-ChienT1993", "path": "/my_code.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>def strike_X(strikes):#strike and win print ("Here are the options for your strike's position:") print (position) x = input("Which position do you want to strike?: ") position.remove(x) board[x] = 'X' strikes = strikes + 1 tictactoe(board) if board['TL'] == 'X' and board['T...
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{ "lang": "python", "repo": "Athenian-ComputerScience-Fall2020/tic-tac-toe-ChienT1993", "path": "/my_code.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> random_int = random.randint(1,2) try: turn = int(input(player_1 + " choose either 1 or 2: ")) if turn == random_int: print (player_1, "(X) go first and " + player_2 + " (O) go second") elif turn != random_int and turn < 3:#seems like any number other then 1 or 2...
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{ "lang": "python", "repo": "Athenian-ComputerScience-Fall2020/tic-tac-toe-ChienT1993", "path": "/my_code.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: bvbohnen/X4_Customizer path: /Plugins/Analyses/Print_Object_Stats.py from collections import defaultdict, OrderedDict from lxml import etree as ET from Framework import Analysis_Wrapper from Framework import File_System from Framework import Settings from Framework import Live_Editor from Frame...
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{ "lang": "python", "repo": "bvbohnen/X4_Customizer", "path": "/Plugins/Analyses/Print_Object_Stats.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def Write_Tables(file_name, *tables): ''' Writes one or more tables (list of lists) to output files. ''' # Now pick a format to print to. # TODO: move these into a support module. # CSV initially. with open(Settings.Get_Output_Folder() / (file_name+'.csv'), 'w') as file: ...
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{ "lang": "python", "repo": "bvbohnen/X4_Customizer", "path": "/Plugins/Analyses/Print_Object_Stats.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def Write_Tables(file_name, *tables): ''' Writes one or more tables (list of lists) to output files. ''' # Now pick a format to print to. # TODO: move these into a support module. # CSV initially. with open(Settings.Get_Output_Folder() / (file_name+'.csv'), 'w') as file: ...
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{ "lang": "python", "repo": "bvbohnen/X4_Customizer", "path": "/Plugins/Analyses/Print_Object_Stats.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: erjan/coding_exercises path: /maximum_sum_score_of_array.py ''' You are given a 0-indexed integer array nums of length n. The sum score of nums at an index i where 0 <= i < n is the maximum of: The sum of the first i + 1 elements of nums. The sum of the last n - i elements of nums. Return the ...
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{ "lang": "python", "repo": "erjan/coding_exercises", "path": "/maximum_sum_score_of_array.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> temp = max(pref[i], suf[i]) if temp > res: res = temp print('res', res) return res ------------------------------------------------------ class Solution: def maximumSumScore(self, nums: List[int]) -> int: ans = -sys.maxsiz...
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{ "lang": "python", "repo": "erjan/coding_exercises", "path": "/maximum_sum_score_of_array.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: ktatarnikov/time-series path: /preprocessing/preprocessing.py import os import sys from datetime import date from datetime import timedelta as td import matplotlib.pyplot as plt import numpy as np import pandas as pd from sklearn.preprocessing import StandardScaler class TimeSeriesPreprocessor...
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{ "lang": "python", "repo": "ktatarnikov/time-series", "path": "/preprocessing/preprocessing.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> ''' Ensure that there is one and only one point exists for the self.probe_period_seconds. If the point does not exists then it creates the point with NaN value. If there are multiple points exists it downsample the point with mean value. Parameters --------...
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{ "lang": "python", "repo": "ktatarnikov/time-series", "path": "/preprocessing/preprocessing.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|># Q3 for param in os.environ.keys(): if param == "HTTP_USER_AGENT": print("<br><br><b>%20s<b>: %s<br>" % (param, os.environ[param]))<|fim_prefix|># repo: MPARASHA/CMPUT404Labs path: /Lab3/hello.py #!/usr/bin/env python3 import os, json import cgitb cgitb.enable() print("Content-type:text/ht...
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{ "lang": "python", "repo": "MPARASHA/CMPUT404Labs", "path": "/Lab3/hello.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>#Q2 for param in os.environ.keys(): if param == "QUERY_STRING": print("<br><br><b>%20s</b>: %s<b>" % (param, os.environ[param])) # Q3 for param in os.environ.keys(): if param == "HTTP_USER_AGENT": print("<br><br><b>%20s<b>: %s<br>" % (param, os.environ[param]))<|fim_prefix|># repo...
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{ "lang": "python", "repo": "MPARASHA/CMPUT404Labs", "path": "/Lab3/hello.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: MPARASHA/CMPUT404Labs path: /Lab3/hello.py #!/usr/bin/env python3 import os, json import cgitb cgitb.enable() print("Content-type:text/html\r\n\r\n") print() print("<title>Test CGI</title>") print("<p>Hello World!</p>") # Q1 json_object = json.dumps(dict(os.environ), indent=4) print(json_objec...
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{ "lang": "python", "repo": "MPARASHA/CMPUT404Labs", "path": "/Lab3/hello.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: danjsouther/satisfactory-planning path: /satisfactory_planning/components/wire.py from ..component import Component from ..machine import Constructor from .ingot import Copper <|fim_suffix|> production = Constructor( inputs = [Copper(1)], output = 3, rate = 45 )<|fim_middle|>class Wire(Co...
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{ "lang": "python", "repo": "danjsouther/satisfactory-planning", "path": "/satisfactory_planning/components/wire.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> production = Constructor( inputs = [Copper(1)], output = 3, rate = 45 )<|fim_prefix|># repo: danjsouther/satisfactory-planning path: /satisfactory_planning/components/wire.py from ..component import Component from ..machine import Constructor from .ingot import Copper <|fim_middle|>class Wire(Co...
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{ "lang": "python", "repo": "danjsouther/satisfactory-planning", "path": "/satisfactory_planning/components/wire.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> ''' Exception wrapper class used by vars file parser ''' class DeployConfigError(Exception): ''' Exception wrapper class used for the deploy config ''' def __init__(self, msg, line=None, path=None): if line: msg = 'line %d: %s' % (line, msg) if p...
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{ "lang": "python", "repo": "ApplauseOSS/deploy-config-generator", "path": "/deploy_config_generator/errors.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> ''' Exception wrapper class used when loading the site config ''' class TemplateUndefinedError(Exception): ''' Exception wrapper class used for undefined var errors when templating '''<|fim_prefix|># repo: ApplauseOSS/deploy-config-generator path: /deploy_config_generator/error...
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{ "lang": "python", "repo": "ApplauseOSS/deploy-config-generator", "path": "/deploy_config_generator/errors.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ApplauseOSS/deploy-config-generator path: /deploy_config_generator/errors.py class VarsParseError(Exception): ''' Exception wrapper class used by vars file parser ''' def __init__(self, msg, line=None, path=None): if line: msg = 'line %d: %s' % (line, msg) ...
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{ "lang": "python", "repo": "ApplauseOSS/deploy-config-generator", "path": "/deploy_config_generator/errors.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: rgamez/pcapi path: /src/lib/cobweb_parser.py import html5lib, re, json, os from bs4 import BeautifulSoup class COBWEBFormParser: def __init__(self, content): self.content = content def extract(self): return json.dumps(self._get_dict_from_html()) def _get_dict_from_...
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{ "lang": "python", "repo": "rgamez/pcapi", "path": "/src/lib/cobweb_parser.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> def _get_simple_input(self, tag, itype, vtype, q): element = {} element["input_type"] = itype element["value_type"] = vtype element["question"] = q element["field-id"] = tag.get('id') element["id"] = tag.get('id').split("-")[2] element["children"...
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{ "lang": "python", "repo": "rgamez/pcapi", "path": "/src/lib/cobweb_parser.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> element = {} element["input_type"] = itype element["value_type"] = vtype element["question"] = q element["field-id"] = tag.get('id') element["id"] = tag.get('id').split("-")[2] element["children"] = {} return element if __name__ == "__main__...
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{ "lang": "python", "repo": "rgamez/pcapi", "path": "/src/lib/cobweb_parser.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: Remit/autoscaling-simulator path: /autoscalingsim/scaling/policiesbuilder/metric/forecasting/models/arima/arima_base.py import warnings import pandas as pd from autoscalingsim.scaling.policiesbuilder.metric.forecasting.forecasting_model import ForecastingModel from autoscalingsim.utils.error_che...
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{ "lang": "python", "repo": "Remit/autoscaling-simulator", "path": "/autoscalingsim/scaling/policiesbuilder/metric/forecasting/models/arima/arima_base.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> with warnings.catch_warnings(): warnings.simplefilter('ignore') forecast_interval = self._construct_future_interval(cur_timestamp) forecast = self._model_fitted.predict(start = min(forecast_interval), end = max(forecast_interval)) if not self._model_fitted is No...
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{ "lang": "python", "repo": "Remit/autoscaling-simulator", "path": "/autoscalingsim/scaling/policiesbuilder/metric/forecasting/models/arima/arima_base.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if exclude is not False: to_remove = [] for op, pat in exclude.items(): pat = filtermaker(pat) for tok in lks: if op == 'g': for l in deps.links: ...
code_fim
hard
{ "lang": "python", "repo": "whrl/corpkit", "path": "/corpkit/interrogator.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: whrl/corpkit path: /corpkit/interrogator.py title_stripped.append(head) output.append(title_stripped) return output def convert_spelling(list_of_matches, spelling = 'US'): from dictionaries.word_transforms import usa_convert if spelling == 'UK': ...
code_fim
hard
{ "lang": "python", "repo": "whrl/corpkit", "path": "/corpkit/interrogator.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: whrl/corpkit path: /corpkit/interrogator.py ode_by_idx(lk.id) if 'w' in show: single_result['w'] = 'none' if lemmatise: single_result['w'] = lk.lemma else: single_result['w...
code_fim
hard
{ "lang": "python", "repo": "whrl/corpkit", "path": "/corpkit/interrogator.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>Enter number: ")) digit = 0 while digit < num: print(digit+1, " - ", result[digit]['name'], result[digit]['market_cap']) digit += 1<|fim_prefix|># repo: nazmurat/assignment1--master path: /src/src.py from pycoingecko import CoinGeckoAPI cg = CoinGeckoAPI() result = cg.<|fim_middle|>get_coins_mark...
code_fim
medium
{ "lang": "python", "repo": "nazmurat/assignment1--master", "path": "/src/src.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }