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<|fim_suffix|> def baja(self, folio): del self.pacientes[folio] return "Paciente eliminado"<|fim_prefix|># repo: nahumsin/finalProyect path: /app/AltasBajas.py from Paciente import Paciente class AltasBajas: pacientes = {} folio = 100 def alta(self, nombre, apellido, edad, email, dire...
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{ "lang": "python", "repo": "nahumsin/finalProyect", "path": "/app/AltasBajas.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> 引数 各種設定値(辞書型) 戻り値 min_funtionの戻り値 """ print("{}th calculation starts.".format(1+len(min_function.summary_list))) hidden_list = [int(args["l1_out"]), int(args["l2_out"])] drop_list = [args["l1_drop"], args["l2_drop"]] epochs ...
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{ "lang": "python", "repo": "ytgw/ml_tips", "path": "/tuning/hyperopt_test.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> # 最適解探索 print("-------------------- Search Start --------------------") best = fmin(calc_object_value, tune_parameter, algo=tpe.suggest, max_evals=15) # 結果表示 print("-------------------- Search End --------------------") min_function....
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{ "lang": "python", "repo": "ytgw/ml_tips", "path": "/tuning/hyperopt_test.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: ytgw/ml_tips path: /tuning/hyperopt_test.py # -*- coding: utf-8 -*- """ hyperopt sample """ # -------------------------------------------------- # Initial Setting # -------------------------------------------------- import numpy as np import tensorflow as tf import random as rn import os # GPUの無...
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{ "lang": "python", "repo": "ytgw/ml_tips", "path": "/tuning/hyperopt_test.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: whsqkaak/CodingTrainingStudy path: /sort/sort.py def solution(array, commands): answer = [] for i, j, k in commands: t<|fim_suffix|> answer.append(tmp[k-1]) return answer<|fim_middle|>mp = array[i-1:j] tmp.sort()
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{ "lang": "python", "repo": "whsqkaak/CodingTrainingStudy", "path": "/sort/sort.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>mp = array[i-1:j] tmp.sort() answer.append(tmp[k-1]) return answer<|fim_prefix|># repo: whsqkaak/CodingTrainingStudy path: /sort/sort.py def solution(array, commands): answer <|fim_middle|>= [] for i, j, k in commands: t
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{ "lang": "python", "repo": "whsqkaak/CodingTrainingStudy", "path": "/sort/sort.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: mbark/messaging-service path: /tests/test_integration.py import json import pytest pytestmark = pytest.mark.integration def post_msg(client, msg={'foo': 'bar'}): endpoint = '/messages/1' result = client.simulate_post(endpoint, body=json.dumps(msg)) return endpoint, json.loads(resul...
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{ "lang": "python", "repo": "mbark/messaging-service", "path": "/tests/test_integration.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def test_post_delete_get(client): endpoint, msg = post_msg(client) client.simulate_delete(endpoint, body=json.dumps([msg])) result = client.simulate_get(endpoint) assert result.status_code == 200 response = json.loads(result.text) assert len(response) == 0 def test_get_get_unre...
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{ "lang": "python", "repo": "mbark/messaging-service", "path": "/tests/test_integration.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> plt.xlabel("RA") plt.ylabel("Dec") else: centerPixel = (header["xCenterPixel"], header["yCenterPixel"]) pixelDimension = image.shape degreesToArcseconds = 3600 pixelScale = header["degreesPixelScale"] * degreesToArcseconds extent = [(-centerPi...
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{ "lang": "python", "repo": "MichaelStroet/BachelorProject", "path": "/code/fitsFiles.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: MichaelStroet/BachelorProject path: /code/fitsFiles.py # Michael Stroet 11293284 import os, sys import numpy as np import matplotlib.pyplot as plt from astropy.io import fits from astropy.wcs import WCS from matplotlib.colors import LogNorm root_directory = os.path.dirname(os.path.dirname(os....
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{ "lang": "python", "repo": "MichaelStroet/BachelorProject", "path": "/code/fitsFiles.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: eecs-395-senior-project-team/voda path: /webscraper/vodadata/leadInfoScraper.py import scrapy import psycopg2 import traceback class LeadInfoScraper(scrapy.Spider): name = "LeadInfoScraper" counter = 0 def __init__(self, connection): self.connection = connection def wr...
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{ "lang": "python", "repo": "eecs-395-senior-project-team/voda", "path": "/webscraper/vodadata/leadInfoScraper.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> # check if this source-contaminant relationship exists cursor.execute('SELECT * FROM "vodaMainApp_sourcelevels" WHERE source_id = %s ' 'AND contaminant_id = %s', (src_id, cont_id)) results = cursor.fetchall() # if there is not alr...
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{ "lang": "python", "repo": "eecs-395-senior-project-team/voda", "path": "/webscraper/vodadata/leadInfoScraper.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: shafaypro/shafayworkspace path: /Tkinter_Beginner/frame.py from tkinter import * # imports the tkinter header file class Window(Frame): # Starts a windows instance def __init__(self, master=None): # the constructor of the Windows Class <|fim_suffix|> root = Tk() # creates an object of the ...
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{ "lang": "python", "repo": "shafaypro/shafayworkspace", "path": "/Tkinter_Beginner/frame.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> Frame.__init__(self, master) # a self frame is created using this self.master = master # intialize the master with the current frame master (variable) root = Tk() # creates an object of the tkinter class app = Window(root) # to pass the root of tkinter to the class created root.mainloop() # to ...
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{ "lang": "python", "repo": "shafaypro/shafayworkspace", "path": "/Tkinter_Beginner/frame.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> class Meta: model = User<|fim_prefix|># repo: danielziro/SistemaGranja-master path: /SistemaGranja-master/InicioSesion/forms.py # -*- coding: utf-8 -*- from django import forms from django.contrib.auth.forms import AuthenticationForm from django.contrib.auth.models import User from django.uti...
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{ "lang": "python", "repo": "danielziro/SistemaGranja-master", "path": "/SistemaGranja-master/InicioSesion/forms.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: danielziro/SistemaGranja-master path: /SistemaGranja-master/InicioSesion/forms.py # -*- coding: utf-8 -*- from django import forms from django.contrib.auth.forms import AuthenticationForm from django.contrib.auth.models import User from django.utils.translation import ugettext_lazy as _ #from dja...
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{ "lang": "python", "repo": "danielziro/SistemaGranja-master", "path": "/SistemaGranja-master/InicioSesion/forms.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> assert response.status_code == 200 self.assertContains(response, accepted_class.teacher.name) self.assertContains(response, accepted_class.b_title) def test_bios_teachers_profile_skipped(self): first_context = ClassContext() first_context.people.class_id = firs...
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{ "lang": "python", "repo": "bethlakshmi/gbe-divio-djangocms-python2.7", "path": "/tests/gbe/test_bios_teachers.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> first_context = ClassContext() link = first_context.set_social_media("Facebook") other_context = ClassContext() login_as(ProfileFactory(), self) response = self.client.get( self.url, data={'conference': first_context.conference.conference_slu...
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{ "lang": "python", "repo": "bethlakshmi/gbe-divio-djangocms-python2.7", "path": "/tests/gbe/test_bios_teachers.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: gmoreiraa/Web-Service path: /Server/server.py from http.server import HTTPServer, BaseHTTPRequestHandler import json import re with open("db.json") as data_file: data = json.load(data_file) with open("login.json") as data_file: login = json.load(data_file) class ServiceHandler(BaseHTT...
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{ "lang": "python", "repo": "gmoreiraa/Web-Service", "path": "/Server/server.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> if len(data) > 0: index = int(data[len(data) - 1]["id"]) + 1 else: index = 1 req["id"] = str(index) data.append(req) with open("db.json", 'w+') as file_data: json.dump(data, file_data) self.send_response(201) sel...
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{ "lang": "python", "repo": "gmoreiraa/Web-Service", "path": "/Server/server.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: jang93/exercism path: /python/error-handling/error_handling.py def handle_error_by_throwing_exception(): raise Exception("Error") <|fim_suffix|> def filelike_objects_are_closed_on_exception(filelike_object): with filelike_object as f: f.do_something()<|fim_middle|>def handle_err...
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{ "lang": "python", "repo": "jang93/exercism", "path": "/python/error-handling/error_handling.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>def filelike_objects_are_closed_on_exception(filelike_object): with filelike_object as f: f.do_something()<|fim_prefix|># repo: jang93/exercism path: /python/error-handling/error_handling.py def handle_error_by_throwing_exception(): raise Exception("Error") def handle_error_by_returning...
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{ "lang": "python", "repo": "jang93/exercism", "path": "/python/error-handling/error_handling.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> @mock.patch('client_of_redundant_servers.client_of_redundant_radius_servers.Client') def test_client_radius_auth_packet_error_exception(self, mock_pyrad_client): a_client = ClientOfRedundantRadiusServers(self.fake_server_dict, "test") mock_pyrad_client.side_effect = pyrad.packet.Pa...
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{ "lang": "python", "repo": "rbricheno/client_of_redundant_servers", "path": "/tests/test_client_of_redundant_radius_servers.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>ok/backend/') sys.path.insert(1, '/home/terzeron/.pyenv/versions/flask/lib/python3.9/site-packages') from index import app as application<|fim_prefix|># repo: terzeron/FlaskVueTest path: /backend/index.wsgi #!/usr/bin/env python import logging import sys logging.basicConfig<|fim_middle|>(stream=sys.std...
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{ "lang": "python", "repo": "terzeron/FlaskVueTest", "path": "/backend/index.wsgi", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: terzeron/FlaskVueTest path: /backend/index.wsgi #!/usr/bin/env python import logging import sys logging.basicConfig<|fim_suffix|>k/lib/python3.9/site-packages') from index import app as application<|fim_middle|>(stream=sys.stderr) sys.path.insert(0, '/home/terzeron/public_html/book/backend/') s...
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{ "lang": "python", "repo": "terzeron/FlaskVueTest", "path": "/backend/index.wsgi", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: PiperProject/quest path: /src/unittest_driver.py #!/usr/bin/env python import copy, os, pickledb, string, sys, unittest ##################### # UNITTEST DRIVER # ##################### def unittest_driver() : print print "************************************" print "* RUNNING TEST SUI...
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{ "lang": "python", "repo": "PiperProject/quest", "path": "/src/unittest_driver.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>t.test_example9" ) os.system( "python -m unittest Test_quest.Test_quest.test_example10" ) os.system( "python -m unittest Test_quest.Test_quest.test_example11" ) os.system( "python -m unittest Test_quest.Test_quest.test_example12" ) os.system( "python -m unittest Test_quest.Test_quest.test_example1...
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{ "lang": "python", "repo": "PiperProject/quest", "path": "/src/unittest_driver.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ethangela/multimedia path: /src/data_extraction/permutate_data.py import ast import copy import glob import h5py import logging import numpy as np import os import pandas as pd from editing.writer import DatasetWriter from numpy import random FEATURES_FILE = os.environ["FEATURES_FILE"] SEGME...
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{ "lang": "python", "repo": "ethangela/multimedia", "path": "/src/data_extraction/permutate_data.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> logging.info("Gittering videos") for indx, row in df.iterrows(): video_name = row["segmented_video_id"].replace('.mp4', '') if video_name not in shift_mappings: shift_val = get_shift() video_feature = video_features_all[video_name] video_feature_shifted = shift_video(video_feature = video...
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{ "lang": "python", "repo": "ethangela/multimedia", "path": "/src/data_extraction/permutate_data.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> T = int(input()) for j in range(T): N, L = list(map(int,input().split())) prime,numbers = findprime(N) A = list(map(int,input().split())) fact = [] print(prime) # for i in numbers: # if A[0] % i == 0: # if A[1] % i ==0: # fact.append(int(A[0] /...
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{ "lang": "python", "repo": "Alferdize/Data-Structure-and-Algorithms", "path": "/kickstarter/crypto.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>T = int(input()) for j in range(T): N, L = list(map(int,input().split())) prime,numbers = findprime(N) A = list(map(int,input().split())) fact = [] print(prime) # for i in numbers: # if A[0] % i == 0: # if A[1] % i ==0: # fact.append(int(A[0] / ...
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{ "lang": "python", "repo": "Alferdize/Data-Structure-and-Algorithms", "path": "/kickstarter/crypto.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Alferdize/Data-Structure-and-Algorithms path: /kickstarter/crypto.py def findprime(n): prime = [True for i in range(n+1)] p = 2 while (p * p <= n): if (prime[p] == True): for i in range(p*p,n+1,p): prime[i] = False p += 1 <|fim_suffix|>...
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{ "lang": "python", "repo": "Alferdize/Data-Structure-and-Algorithms", "path": "/kickstarter/crypto.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> 120*E2*lx*ly**2*nu12**2) - (2*((15*E1**2*h**3*ly)/32 - (15*E1*E2*h**3*ly)/32))/(120*E1*ly**2 - 120*E2*ly**2*nu12**2) + (2*((9*E1**2*h**3*ly**2)/32 + (9*E1*E2*h**3*ly**2)/32 - (5*E1*G12*h**3*ly**2)/16 + (5*E2*G12*h**3*ly**2*nu12**2)/16 + (E1*E2*h**3*ly**2*nu12)/16))/(120*E1*lx*ly**2 - 120*E2*lx*ly**2*nu12...
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{ "lang": "python", "repo": "stutipathak5/Machine-Learning-Assisted-System-Identification-of-a-Composite-Plate", "path": "/finite_element_analysis.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: stutipathak5/Machine-Learning-Assisted-System-Identification-of-a-Composite-Plate path: /finite_element_analysis.py (2*((5*E1**2*h**3*lx**2)/32 - (E1**2*h**3*ly**2)/8 + (5*E1*E2*h**3*lx**2)/32 - (E1*E2*h**3*ly**2)/8 + (5*E1*G1...
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{ "lang": "python", "repo": "stutipathak5/Machine-Learning-Assisted-System-Identification-of-a-Composite-Plate", "path": "/finite_element_analysis.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: jwmatthews/pulp_rpm path: /pulp_rpm/test/unit/server/test_distributions.py # -*- coding: utf-8 -*- # # Copyright © 2011 Red Hat, Inc. # # This software is licensed to you under the GNU General Public # License as published by the Free Software Foundation; either version # 2 of the License (GPLv2)...
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{ "lang": "python", "repo": "jwmatthews/pulp_rpm", "path": "/pulp_rpm/test/unit/server/test_distributions.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> super(TestDistribution, self).tearDown() shutil.rmtree(self.temp_dir) def test_metadata(self): metadata = YumImporter.metadata() self.assertEquals(metadata["id"], TYPE_ID_IMPORTER_YUM) self.assertTrue(TYPE_ID_DISTRO in metadata["types"]) def test_distribut...
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{ "lang": "python", "repo": "jwmatthews/pulp_rpm", "path": "/pulp_rpm/test/unit/server/test_distributions.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> dependencies = [ ('main', '0011_auto_20210613_1150'), ] operations = [ migrations.AddField( model_name='producto', name='fecha_alta', field=models.DateTimeField(null=True), ), ]<|fim_prefix|># repo: Diegodelias/TPFINAL-DESWEB-PY...
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{ "lang": "python", "repo": "Diegodelias/TPFINAL-DESWEB-PYTHON-JS-polotic-2021-TPFINAL", "path": "/main/migrations/0012_producto_fecha_alta.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Diegodelias/TPFINAL-DESWEB-PYTHON-JS-polotic-2021-TPFINAL path: /main/migrations/0012_producto_fecha_alta.py # Generated by Django 3.2.4 on 2021-06-13 18:39 <|fim_suffix|> dependencies = [ ('main', '0011_auto_20210613_1150'), ] operations = [ migrations.AddField( ...
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{ "lang": "python", "repo": "Diegodelias/TPFINAL-DESWEB-PYTHON-JS-polotic-2021-TPFINAL", "path": "/main/migrations/0012_producto_fecha_alta.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Cornex-Inc/Coffee path: /Doctor/migrations/0010_bundle.py # Generated by Django 2.1.15 on 2020-01-09 17:20 from django.db import migrations, models <|fim_suffix|> dependencies = [ ('Doctor', '0009_auto_20200105_2317'), ] operations = [ migrations.CreateModel( ...
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{ "lang": "python", "repo": "Cornex-Inc/Coffee", "path": "/Doctor/migrations/0010_bundle.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> dependencies = [ ('Doctor', '0009_auto_20200105_2317'), ] operations = [ migrations.CreateModel( name='bundle', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), (...
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{ "lang": "python", "repo": "Cornex-Inc/Coffee", "path": "/Doctor/migrations/0010_bundle.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> operations = [ migrations.CreateModel( name='bundle', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('upper', models.CharField(max_length=64)), ('group_code', m...
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{ "lang": "python", "repo": "Cornex-Inc/Coffee", "path": "/Doctor/migrations/0010_bundle.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>'w') f2.write(new) f1.close() f2.close()<|fim_prefix|># repo: zhanlaoban/Python_tools path: /01-去掉文本中的空行.py import re f1 = open('finance.txt') content = f1.read() new = re.sub('\n\n', '\n'<|fim_middle|>, content) f2 = open('finance_new.txt',
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{ "lang": "python", "repo": "zhanlaoban/Python_tools", "path": "/01-去掉文本中的空行.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: zhanlaoban/Python_tools path: /01-去掉文本中的空行.py import re f1 = open('finance.txt') cont<|fim_suffix|>, content) f2 = open('finance_new.txt', 'w') f2.write(new) f1.close() f2.close()<|fim_middle|>ent = f1.read() new = re.sub('\n\n', '\n'
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{ "lang": "python", "repo": "zhanlaoban/Python_tools", "path": "/01-去掉文本中的空行.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>def put_on_multi_gpus(model, opt): if opt.gpu_ids != "-1": gpus = list(map(int, opt.gpu_ids.split(","))) model = DataParallelWithCallback(model, device_ids=gpus).cuda() else: model.module = model assert len(opt.gpu_ids.split(",")) == 0 or opt.batch_size % len(opt.gpu_id...
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{ "lang": "python", "repo": "ftll574/Simulator2Real", "path": "/Our_GAN/models/models.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: ftll574/Simulator2Real path: /Our_GAN/models/models.py from models.sync_batchnorm import DataParallelWithCallback import models.generator as generators import models.discriminator as discriminators from models.diffaugment import DiffAugment import os import torch import torch.nn as nn from torch....
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{ "lang": "python", "repo": "ftll574/Simulator2Real", "path": "/Our_GAN/models/models.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> pretrained_dict = torch.load(path) model_dict = model.state_dict() pretrained_dict = {k: v for k, v in pretrained_dict.items() if k in model_dict} model_dict.update(pretrained_dict) model.load_state_dict(model_dict) if self.opt.phase == ...
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{ "lang": "python", "repo": "ftll574/Simulator2Real", "path": "/Our_GAN/models/models.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: techappg/meat_fun_backend path: /product/api/Subcategory_like_api.py from rest_framework.permissions import AllowAny, IsAuthenticated from product.models.Subcategory import Subcategory_like from rest_framework import viewsets from product.serializer.Subcategory_like_serializer import Subcate...
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easy
{ "lang": "python", "repo": "techappg/meat_fun_backend", "path": "/product/api/Subcategory_like_api.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>class Subcategory_like_ViewSet(viewsets.ModelViewSet): permission_classes = [IsAuthenticated, ] serializer_class = Subcategory_like_Serializer queryset = Subcategory_like.objects.all()<|fim_prefix|># repo: techappg/meat_fun_backend path: /product/api/Subcategory_like_api.py from rest_frame...
code_fim
medium
{ "lang": "python", "repo": "techappg/meat_fun_backend", "path": "/product/api/Subcategory_like_api.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> def __init__(self, key, val, next, pre, freq): self.key = key self.val = val self.next = next self.pre = pre self.freq = freq def __init__(self, capacity: int): self.d = {} self.capacity = capacity self.size =...
code_fim
medium
{ "lang": "python", "repo": "zhaoyu20150930/leetcode-test", "path": "/LeetCode/l460.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: zhaoyu20150930/leetcode-test path: /LeetCode/l460.py """ 设计并实现最不经常使用(LFU)缓存的数据结构。它应该支持以下操作:get 和 put。 get(key) - 如果键存在于缓存中,则获取键的值(总是正数),否则返回 -1。 put(key, value) - 如果键不存在,请设置或插入值。当缓存达到其容量时,它应该在插入新项目之前,使 最不经常使用的项目无效。在此问题中,当存在平局(即两个或更多个键具有相同使用频率)时,最近最少使用的键将被去除。 进阶: 你是否可以在 O(1) 时间复杂度内执行两项操作? 示例: ...
code_fim
hard
{ "lang": "python", "repo": "zhaoyu20150930/leetcode-test", "path": "/LeetCode/l460.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Lihongjie-123/calligraphy-study path: /src/main/user_model.py Widgets.QFrame.StyledPanel) self.loose_color_change_frame.setFrameShadow(QtWidgets.QFrame.Raised) self.loose_color_change_frame.setObjectName("loose_color_change_frame") self.loose_color_change_frame.setFrameSty...
code_fim
hard
{ "lang": "python", "repo": "Lihongjie-123/calligraphy-study", "path": "/src/main/user_model.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Lihongjie-123/calligraphy-study path: /src/main/user_model.py "practise_loose_point_map": {}, } self.format_all_point_list = [] self.practise_count = 1 self.step = 0 self.practise_status = "" self.timer = QBasicTimer() self.timer.stop() ...
code_fim
hard
{ "lang": "python", "repo": "Lihongjie-123/calligraphy-study", "path": "/src/main/user_model.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> try: self.suspend_time = time.time() self.timer.stop() self.painting = False self.start_write = False tmp_last_point = self.loose_point_list[0] self.painter.begin(self.__board) self.painter.setPen( ...
code_fim
hard
{ "lang": "python", "repo": "Lihongjie-123/calligraphy-study", "path": "/src/main/user_model.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> lookahead = int(0.2/self.dt) lookahead = 0 if len(self.Xvel)==0: terminate_index = 0 if self.robot_poly_index < terminate_index : #polynomial traj followining self....
code_fim
hard
{ "lang": "python", "repo": "shihyunlo/side_walking", "path": "/nodes/side_walking_old.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: shihyunlo/side_walking path: /nodes/side_walking_old.py self.subgoal_ind = 1 # to be set, input by arg # general parameters self.x_ref = [] self.v = 1.0 #desired group velocity self.sm = 0.8 #safety margin self.dt = 0.1 # self.ped_helmet_i...
code_fim
hard
{ "lang": "python", "repo": "shihyunlo/side_walking", "path": "/nodes/side_walking_old.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> start_yaw = 0.0 #initialization: system level cmd_pub_rate = 100 rate = rospy.Rate(cmd_pub_rate) rate_count = int(cmd_pub_rate/(1/self.dt)) vel_msg_ = Twist() plot_count = 0 vel_count = 0 vel_n = 5 ...
code_fim
hard
{ "lang": "python", "repo": "shihyunlo/side_walking", "path": "/nodes/side_walking_old.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> zeros = (np.zeros(missing_data * 100)) ones = (np.ones((1 - missing_data) * 100)) one_zero = np.concatenate([zeros, ones]) mv = [] for p in patients: mv.append(np.random.choice(one_zero, len(p[:-1]))) return mv def classify(X, y, dAs): methods = {'rfc': rfc, 'fullrfc...
code_fim
hard
{ "lang": "python", "repo": "greenelab/DAPS", "path": "/classify_patients.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: greenelab/DAPS path: /classify_patients.py import os import pickle as pkl import gc import time import numpy as np import random import argparse import theano import theano.tensor as T import train_dAs as trainer from sklearn.cross_validation import StratifiedKFold from sklearn.metrics import ...
code_fim
hard
{ "lang": "python", "repo": "greenelab/DAPS", "path": "/classify_patients.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> super().__init__() self.pe_enable = False # Ture | False self.cfg = cfg # reduce the parameters to 3 quarters #filter = [64 // 2, 128 // 2, 256 // 2, 512 // 2, 512 // 2] filter = [int(64 * 0.75), int(128 * 0.75), int(256 * 0.75), int(512 * 0.75), int(512 * ...
code_fim
hard
{ "lang": "python", "repo": "saraalrawi/EIN-SELD", "path": "/seld/methods/ein_seld/models/seld.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: saraalrawi/EIN-SELD path: /seld/methods/ein_seld/models/seld.py ing=(1, 1), dilation=1, bias=False), nn.BatchNorm2d(256), nn.ReLU(inplace=True),nn.AvgPool2d(kernel_size=(1, 2)) ) self.shared_co...
code_fim
hard
{ "lang": "python", "repo": "saraalrawi/EIN-SELD", "path": "/seld/methods/ein_seld/models/seld.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: saraalrawi/EIN-SELD path: /seld/methods/ein_seld/models/seld.py tten_encoder[i][j][1] = self.dropout(atten_encoder[i][j][1]) atten_encoder[i][j][2] = self.encoder_block_att[j](atten_encoder[i][j][1]) #atten_encoder[i][j][2] = self.dropout(atten_enco...
code_fim
hard
{ "lang": "python", "repo": "saraalrawi/EIN-SELD", "path": "/seld/methods/ein_seld/models/seld.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: liangan1/news path: /phs/university/shandong_university.py # -*- coding: UTF-8 -*-: from phs import spider, newsBase import re import datetime import bs4 class ShandongUniversityNews(newsBase.NewsParserBase): def __init__(self): super().__init__() def parse_html(se...
code_fim
hard
{ "lang": "python", "repo": "liangan1/news", "path": "/phs/university/shandong_university.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> return self.news_list if __name__ == '__main__': news_instance = ShandongUniversityNews() news_list = news_instance.parse_html() print("All news:") for news in news_list: print(news.get_university(), news.school, news.title, news.date, news.href) today_news =...
code_fim
hard
{ "lang": "python", "repo": "liangan1/news", "path": "/phs/university/shandong_university.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> #three self.set_target_url("http://www.cs.sdu.edu.cn/index/xygg.htm") target_tags = self.get_tag_by_attr(tag="div", attr="class", value="sub_text") self.parse_target_tags(target_tags, self.url, "山东大学", "计算机科学与技术学院", is_deeper = False) #four self.set_...
code_fim
hard
{ "lang": "python", "repo": "liangan1/news", "path": "/phs/university/shandong_university.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> for t in threads: t.join() finally: # write to DATA_FILE even when process is interrupted with open(DATA_FILE, 'w') as data_file: print ("Rewriting %s with %s entries" % (DATA_FILE, len(classify_data))) ...
code_fim
hard
{ "lang": "python", "repo": "ymittal/fb-drive", "path": "/drive.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> :param file_id file id :param filename file name :return boolean denoting whether file was downloaded successfully """ # httplib2 library is not thread-safe, need a new http for each thread drive_service = discovery.build('drive', 'v3', http=get_http()) request = drive...
code_fim
hard
{ "lang": "python", "repo": "ymittal/fb-drive", "path": "/drive.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ymittal/fb-drive path: /drive.py from __future__ import print_function import httplib2 import json import os import io from Queue import Queue from threading import Thread from fbrecog import recognize from apiclient import discovery from apiclient import errors from apiclient.http import HttpR...
code_fim
hard
{ "lang": "python", "repo": "ymittal/fb-drive", "path": "/drive.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> king_position = self.findKing(self.board,color) check_board = self.computeCheckBoard(self.board,color) return check_board[king_position[0]][king_position[1]] def pawnMoves(self,pawn,board): moves = [] position = (pawn.i,pawn.j) for destinat...
code_fim
hard
{ "lang": "python", "repo": "Amadeus23/Simple-chess-game", "path": "/board_model.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Amadeus23/Simple-chess-game path: /board_model.py #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Oct 17 01:42:42 2018 @author: amadej """ #This will be the "model" which has the information of the state of the board from helper import * from pieces import * from copy import ...
code_fim
hard
{ "lang": "python", "repo": "Amadeus23/Simple-chess-game", "path": "/board_model.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> path('createproject/', views.create_project), path('editproject/', views.edit_project), path('deleteproject/', views.delete_project), ]<|fim_prefix|># repo: iMaks99/OdooProjectsServer path: /odoo_db/urls.py from django.urls import path from . import views urlpatterns = [ path('getproject...
code_fim
medium
{ "lang": "python", "repo": "iMaks99/OdooProjectsServer", "path": "/odoo_db/urls.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: iMaks99/OdooProjectsServer path: /odoo_db/urls.py from django.urls import path from . import views urlpatterns = [ path('getprojectsall/', views.get_projects_all), path('login/', views.login_user), path('getprojecttasks/', views.get_project_tasks), path('getprojecttasktype/', vie...
code_fim
medium
{ "lang": "python", "repo": "iMaks99/OdooProjectsServer", "path": "/odoo_db/urls.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> print BOT_ID in command line slack_client = slackclient.SlackClient(BOT_TOKEN) print slack_client client_connect = slack_client.api_call("users.list").get('ok') print client_connect for user in slack_client.api_call("users.list").get('members'): if user.get('name') == BOT_NAME: print user.get...
code_fim
medium
{ "lang": "python", "repo": "joemoded/slack", "path": "/slack/sf_giants_bot/get_rtm_bot_id.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: joemoded/slack path: /slack/sf_giants_bot/get_rtm_bot_id.py import os, slackclient # to run, "python get_rtm_bot.py # after running, export BOT_ID to virtualenv using command line # before running, export BOT_NAME and BOT_TOKEN to virtualenv using command line BOT_NAME = os.environ.get('BOT_NAM...
code_fim
medium
{ "lang": "python", "repo": "joemoded/slack", "path": "/slack/sf_giants_bot/get_rtm_bot_id.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>'ok') print client_connect for user in slack_client.api_call("users.list").get('members'): if user.get('name') == BOT_NAME: print user.get('id')<|fim_prefix|># repo: joemoded/slack path: /slack/sf_giants_bot/get_rtm_bot_id.py import os, slackclient # to run, "python get_rtm_bot.py # after r...
code_fim
medium
{ "lang": "python", "repo": "joemoded/slack", "path": "/slack/sf_giants_bot/get_rtm_bot_id.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>#Starting web server print("Starting web server") processThread = threading.Thread(target=thread_second) # <- note extra ',' processThread.start() #Getting env variables apiKey = os.environ["api_key"] apiSecret = os.environ["api_secret"] organizationId = os.environ["organization_id"] print("Apikey :" +a...
code_fim
hard
{ "lang": "python", "repo": "Antheor0/nicehash-api", "path": "/main.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Antheor0/nicehash-api path: /main.py #!/bin/python3 import nicehash import json import os import sys import threading import time from subprocess import call def write_file(path,file,message): pathsys=os.getcwd() os.chdir(path) file = open(file, "w") file.write(message) file....
code_fim
hard
{ "lang": "python", "repo": "Antheor0/nicehash-api", "path": "/main.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Jeaven/PyTSI path: /testing/mobotix/mobotix.py import os as os from tqdm import tqdm from pysolar.solar import * import datetime as datetime import pathlib import matplotlib.pyplot as plt import numpy as np import cv2 as cv2 import matplotlib.gridspec as gridspec from sklearn import preprocessing...
code_fim
hard
{ "lang": "python", "repo": "Jeaven/PyTSI", "path": "/testing/mobotix/mobotix.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> cv2.line(masked, (828,457), (693,96), black, 35) R = masked[:,:,0] G = masked[:,:,1] B = masked[:,:,2] B[B==0]=1 RBRatio = np.zeros((xres,yres),dtype=float) RBRatio = np.where(B>0, R/B, 0) sunPixels = cloudPixels = 0 skycoverimage = np.zeros((xres,yres,n_colors),dtype='uint8') #1 i...
code_fim
hard
{ "lang": "python", "repo": "Jeaven/PyTSI", "path": "/testing/mobotix/mobotix.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>def getIndexes(): Indexes = [] for x in range(EnvSize): for y in range(EnvSize): Indexes.append((x, y)) return Indexes<|fim_prefix|># repo: YeonJae-Choi/WumpusWorld-project path: /constants.py # 행동 설정 from collections import namedtuple Agent = 1 Pit = 2 Wumpus = 3 Gold =...
code_fim
medium
{ "lang": "python", "repo": "YeonJae-Choi/WumpusWorld-project", "path": "/constants.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> def getMatrix(item): matrix = [] try: copy = getattr(item, 'copy') except AttributeError: copy = None for i in range(EnvSize): matrix.append([]) for j in range(EnvSize): if copy: matrix[i].append(copy()) else: ...
code_fim
medium
{ "lang": "python", "repo": "YeonJae-Choi/WumpusWorld-project", "path": "/constants.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: YeonJae-Choi/WumpusWorld-project path: /constants.py # 행동 설정 from collections import namedtuple Agent = 1 Pit = 2 Wumpus = 3 Gold = 4 Wind = 5 Stench = 6 EnvSize = 4 def getMatrix(item): matrix = [] try: copy = getattr(item, 'copy') except AttributeError: copy = N...
code_fim
hard
{ "lang": "python", "repo": "YeonJae-Choi/WumpusWorld-project", "path": "/constants.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: PratikBali/python-learning path: /automation/windows/run_sp12.py import os def main(): sp12 = r'C:\private\perforce_branches\TEF-Peru-mobile-app\PROD_2930_sp12\mobile_app\app' <|fim_suffix|>if __name__ == "__main__": main()<|fim_middle|> os.chdir(sp12) print(sp12 + '\grunt dev') os.s...
code_fim
medium
{ "lang": "python", "repo": "PratikBali/python-learning", "path": "/automation/windows/run_sp12.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>if __name__ == "__main__": main()<|fim_prefix|># repo: PratikBali/python-learning path: /automation/windows/run_sp12.py import os def main(): <|fim_middle|> sp12 = r'C:\private\perforce_branches\TEF-Peru-mobile-app\PROD_2930_sp12\mobile_app\app' os.chdir(sp12) print(sp12 + '\grunt dev') os.s...
code_fim
medium
{ "lang": "python", "repo": "PratikBali/python-learning", "path": "/automation/windows/run_sp12.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: LotusEcho/AdventOfCode2018 path: /src/day14/day14.py from datetime import datetime def find_good_recipes(improvement_num, count): """ >>> find_good_recipes(9, 10) '5158916779' >>> find_good_recipes(5, 10) '0124515891' >>> find_good_recipes(18, 10) '9251071085' >>...
code_fim
hard
{ "lang": "python", "repo": "LotusEcho/AdventOfCode2018", "path": "/src/day14/day14.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if pattern_to_find in ''.join(map(str, recipes[-(len(keys) + 2):])): not_found = False if recipes[-1] == keys[-1]: return len(recipes) - len(keys) else: return len(recipes) - len(keys) - 1 if __name__ == "__main__": start_time = datetime.now() ...
code_fim
hard
{ "lang": "python", "repo": "LotusEcho/AdventOfCode2018", "path": "/src/day14/day14.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def measure_the_work(pattern_to_find): """ >>> measure_the_work('51589') 9 >>> measure_the_work('01245') 5 >>> measure_the_work('92510') 18 >>> measure_the_work('59414') 2018 :param pattern_to_find: The pattern to look for. :return: The number of recipes before...
code_fim
hard
{ "lang": "python", "repo": "LotusEcho/AdventOfCode2018", "path": "/src/day14/day14.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>>\d+)/$',GroupDetailView.as_view(),name="detail_group"), re_path(r'^follow_group/(?P<pk>\d+)/$',FollowGroupView.as_view(),name="follow_group"), re_path(r'^delete_group/(?P<pk>\d+)/$',GroupDeleteView.as_view(),name="delete_group"), re_path(r'^update_group/(?P<pk>\d+)/$',GroupUpdateView.as_view(...
code_fim
medium
{ "lang": "python", "repo": "amirbaba316/nerdvana", "path": "/group/urls.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: amirbaba316/nerdvana path: /group/urls.py from django.urls import path,re_path from .views import CreateGroup,GroupListView,GroupDetailView,GroupDeleteView,GroupUpdateView,FollowGroupView urlpatterns=[ <|fim_suffix|>>\d+)/$',GroupDetailView.as_view(),name="detail_group"), re_path(r'^foll...
code_fim
medium
{ "lang": "python", "repo": "amirbaba316/nerdvana", "path": "/group/urls.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> def __str__(self): return self.name<|fim_prefix|># repo: ActoSoft/DjangoCourse-FirstDjangoProject path: /groups/models.py from django.db import models from django.contrib.auth.models import User <|fim_middle|>class GroupModel(models.Model): users = models.ManyToManyField(User, related_na...
code_fim
hard
{ "lang": "python", "repo": "ActoSoft/DjangoCourse-FirstDjangoProject", "path": "/groups/models.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: ActoSoft/DjangoCourse-FirstDjangoProject path: /groups/models.py from django.db import models from django.contrib.auth.models import User class GroupModel(models.Model): <|fim_suffix|> def __str__(self): return self.name<|fim_middle|> users = models.ManyToManyField(User, related_na...
code_fim
hard
{ "lang": "python", "repo": "ActoSoft/DjangoCourse-FirstDjangoProject", "path": "/groups/models.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>rint("1",end=" ") else: print("0",end=" ") print()<|fim_prefix|># repo: sub7ata/Pattern-Programs-in-Python path: /pattern97.py """ Example Enter a number: 5 1 0 1 1 0 1 0 1 0 1 1 0 1 0 1 """ num = in<|fim_middle|>t(input("Enter a number: ")) for i in range(1,num+1): for j in ...
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medium
{ "lang": "python", "repo": "sub7ata/Pattern-Programs-in-Python", "path": "/pattern97.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: sub7ata/Pattern-Programs-in-Python path: /pattern97.py """ Example Enter a number: 5 1 0 1 1 0 1 0 1 0 1 1 0 1 0 1 """ num = in<|fim_suffix|>,i+1): if(i%2!=0 and j%2!=0) or (i%2==0 and j%2==0): print("1",end=" ") else: print("0",end=" ") print()<|fim_m...
code_fim
medium
{ "lang": "python", "repo": "sub7ata/Pattern-Programs-in-Python", "path": "/pattern97.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: dr-dos-ok/Code_Jam_Webscraper path: /solutions_python/Problem_155/172.py import sys in_file = open(sys.argv[1], "r") out_file = open("output.out", "w") t = int(in_file.readline()) <|fim_suffix|> c_max = int(params[0]) c_rest = params[1] ans = 0 inte = 0 pos = 0 for m i...
code_fim
medium
{ "lang": "python", "repo": "dr-dos-ok/Code_Jam_Webscraper", "path": "/solutions_python/Problem_155/172.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> out_file.write("Case #" + str(i + 1) + ": " + str(ans)) out_file.write("\n") in_file.close() out_file.close()<|fim_prefix|># repo: dr-dos-ok/Code_Jam_Webscraper path: /solutions_python/Problem_155/172.py import sys in_file = open(sys.argv[1], "r") out_file = open("output.out", "w") t = int(i...
code_fim
hard
{ "lang": "python", "repo": "dr-dos-ok/Code_Jam_Webscraper", "path": "/solutions_python/Problem_155/172.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Liam-F/rts path: /z_nameddictionaryfiltered.py # -*- coding: utf-8 -*- """ Created on Sun Nov 23 00:17:18 2014 @author: jmalinchak """ import nameddictionary # class filter(nameddictionary): def __init__(self,directorylocal,Symbol,ExpirationDate,OptionType,Strike,QuoteDatetime): nd =...
code_fim
hard
{ "lang": "python", "repo": "Liam-F/rts", "path": "/z_nameddictionaryfiltered.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> def execute_filtering(self,Symbol,ExpirationDate,OptionType,Strike,QuoteDatetime): dNamedDictionary = self.MainDictionariesObject.NamedDictionary #from datetime import datetime dResult = {} for KeyOfSymbols in dNamedDictionary.keys(): if KeyOfSymbols == Symb...
code_fim
hard
{ "lang": "python", "repo": "Liam-F/rts", "path": "/z_nameddictionaryfiltered.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> """If a listlist_op returns something besides a list as output, raise a ValueError.""" @ops.listlist_op def f(x): return iter([4, 5, 6]) # Returning an iterator instead of an list with pytest.raises(ValueError): result = f([1, 2, 3]) ############################## # Te...
code_fim
hard
{ "lang": "python", "repo": "msmerlak/LEAP", "path": "/tests/test_ops.py", "mode": "spm", "license": "AFL-2.1", "source": "the-stack-v2" }
<|fim_suffix|> """Constant evaluation should ignore the existing fitness function and set the fitness of all individuals to the same value.""" pop = test_population pop = ops.const_evaluate(pop, value=123456789.0) for ind in pop: assert(pytest.approx(123456789.0) == ind.fitness) ######...
code_fim
hard
{ "lang": "python", "repo": "msmerlak/LEAP", "path": "/tests/test_ops.py", "mode": "spm", "license": "AFL-2.1", "source": "the-stack-v2" }
<|fim_prefix|># repo: msmerlak/LEAP path: /tests/test_ops.py import collections import pytest import leap_ec.ops as ops from leap_ec.data import test_population ############################## # Test iteriter_op ############################## def test_iteriter_op_1(): """If an iteriter_op is given an iterator a...
code_fim
hard
{ "lang": "python", "repo": "msmerlak/LEAP", "path": "/tests/test_ops.py", "mode": "psm", "license": "AFL-2.1", "source": "the-stack-v2" }
<|fim_prefix|># repo: adlenafane/ML path: /Code/Data representation/plot_shorthands.py # Useful functions for plotting & exporting the graph import matplotlib.pyplot as pyplot # to plot #============================================================================== # Set the fontsize for a legend def set_legend_font...
code_fim
hard
{ "lang": "python", "repo": "adlenafane/ML", "path": "/Code/Data representation/plot_shorthands.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }