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<|fim_prefix|># repo: kitchell/WMmorphology path: /ML_WM_shapeDNA.py # -*- coding: utf-8 -*- """ Created on Tue Mar 7 13:46:24 2017 @author: lindseykitchell """ from parse_ev_files import parse_ev from sklearn.cross_validation import KFold from sklearn.model_selection import train_test_split from sklearn.tree impor...
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{ "lang": "python", "repo": "kitchell/WMmorphology", "path": "/ML_WM_shapeDNA.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>clf = DecisionTreeClassifier() clf.fit(data_train, labels_train) clf.predict(data_test) clf.score(data_test, labels_test) clf = RandomForestClassifier() clf.fit(data_train, labels_train) clf.predict(data_test) clf.score(data_test, labels_test) clf = AdaBoostClassifier() clf.fit(data_train, labels...
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{ "lang": "python", "repo": "kitchell/WMmorphology", "path": "/ML_WM_shapeDNA.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> for x in self.newdata['COLOR']: threading.Thread(target=self.download_color, args=(x,)).start() for x in range(len(self.newdata['DETAIL'])): threading.Thread(target=self.download_detail, args=(self.newdata['DETAIL'][x], x)).start() return ...
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{ "lang": "python", "repo": "lwqwo888/TaoBao_Spider", "path": "/taobao2/csdntaobao.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> except: print(sys.exc_info()) return if img.ok: if not os.path.exists(self.name + "/color"): try: os.makedirs(self.name + "/color") except: pass if "/" in list(url.keys()...
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{ "lang": "python", "repo": "lwqwo888/TaoBao_Spider", "path": "/taobao2/csdntaobao.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: lwqwo888/TaoBao_Spider path: /taobao2/csdntaobao.py # coding=utf-8 import requests import re, sys, os import json import threading import pprint import sys reload(sys) sys.setdefaultencoding('utf-8') class spider: def __init__(self, sid, name): self.id = sid self.headers =...
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{ "lang": "python", "repo": "lwqwo888/TaoBao_Spider", "path": "/taobao2/csdntaobao.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> # write train_config to text file with open(os.path.join(ckpts_dir, 'config.txt'), mode='w') as f: f.write('train_config: ' + str(train_config) + '\n') f.write('\n') f.write('EmbMLP_hyperparams: ' + str(EmbMLP_hyperparams) + '\n') # collect list...
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{ "lang": "python", "repo": "haolun-wu/ASMG", "path": "/Tmall/ASMGgru_full/train_tmall.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> if i >= train_config['test_start_date']: test_aucs.append(next_auc) test_loglosses.append(next_logloss) if i < train_config['test_start_date'] or not train_config['test_stop_train']: train_start_time = time.time() for epoch_id in range(1, train_config['meta_num_e...
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{ "lang": "python", "repo": "haolun-wu/ASMG", "path": "/Tmall/ASMGgru_full/train_tmall.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: haolun-wu/ASMG path: /Tmall/ASMGgru_full/train_tmall.py from __future__ import division from __future__ import print_function import os import pickle from engine import * from model import * from utils import * np.random.seed(1234) tf.set_random_seed(123) # load data to df start_time = time.tim...
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{ "lang": "python", "repo": "haolun-wu/ASMG", "path": "/Tmall/ASMGgru_full/train_tmall.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> #songs have a foreign key for playlist table, 1st add a row for playlist table (null id) #use select statment to find row and primary key associated with song # SELECT song id from playlist where == to playlist url #playlist id is the foreign key to the song table #select_country_id_sql = ''' ...
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{ "lang": "python", "repo": "kthenning27/Python-Course-FinalProject", "path": "/sql_commands.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: kthenning27/Python-Course-FinalProject path: /sql_commands.py import sqlite3 from track import Track from playlist import Playlist def create_database(): try: sqliteConnection = sqlite3.connect('FinalProjectDatabase.db') cursor = sqliteConnection.cursor() cursor.e...
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{ "lang": "python", "repo": "kthenning27/Python-Course-FinalProject", "path": "/sql_commands.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> #playlist id: each song belongs to a playlist #tweet table not needed #create playlist table (each one has a unique id auto incrementing) add songs to the song table. foreign key = playlist id # #songs have a foreign key for playlist table, 1st add a row for playlist table (null id) #use select st...
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{ "lang": "python", "repo": "kthenning27/Python-Course-FinalProject", "path": "/sql_commands.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: slbastin/firefly_game path: /laboratory/test1/apps/neurons_protocol/neurons_engine.py a_num - 1 common_neurons_command_response_function_dict_list[int(line_elements[5],16)] = common_neurons_command_response_function_dict common_neurons_command_response_block_dict["function...
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{ "lang": "python", "repo": "slbastin/firefly_game", "path": "/laboratory/test1/apps/neurons_protocol/neurons_engine.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> global online_neurons_module_request_dict global online_neurons_module_inactive_block_dict str_block_type = type * 256 + subtype if str_block_type in common_neurons_command_request_dict: block_dict = common_neurons_command_request_dict[str_block_type] block_name = block_d...
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{ "lang": "python", "repo": "slbastin/firefly_game", "path": "/laboratory/test1/apps/neurons_protocol/neurons_engine.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> if type_str in common_neurons_command_response_dict: common_neurons_command_default_function_result_list = [] pass else: common_neurons_command_response_function_dict_list = dict() common_neurons_command_response_block...
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{ "lang": "python", "repo": "slbastin/firefly_game", "path": "/laboratory/test1/apps/neurons_protocol/neurons_engine.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: PrathameshBhatkar/VirusSimulation path: /VirusSimulation/Colors.py # Colour COLOR_RED = (255, 0, 0) COLOR_GREEN = (0, 255, 0) COLOR_BLUE = (0, 0, 255) <|fim_suffix|>COLOR_BLACK = (0, 0, 0) COLOR_WHITE = (255, 255, 255) COLOR_YELLOW = (255, 255, 0) COLOR_PINK = (255, 0, 255) COLOR_PURP...
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{ "lang": "python", "repo": "PrathameshBhatkar/VirusSimulation", "path": "/VirusSimulation/Colors.py", "mode": "psm", "license": "LicenseRef-scancode-public-domain", "source": "the-stack-v2" }
<|fim_suffix|>COLOR_BLACK = (0, 0, 0) COLOR_WHITE = (255, 255, 255) COLOR_YELLOW = (255, 255, 0) COLOR_PINK = (255, 0, 255) COLOR_PURPLE = (110, 0, 255) color_infected = COLOR_RED color_recovered = COLOR_GREEN color_normal = COLOR_WHITE color_protected = COLOR_PURPLE color_ded = COLOR_DARK_GRAY<|fim_prefix...
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{ "lang": "python", "repo": "PrathameshBhatkar/VirusSimulation", "path": "/VirusSimulation/Colors.py", "mode": "spm", "license": "LicenseRef-scancode-public-domain", "source": "the-stack-v2" }
<|fim_suffix|>COLOR_YELLOW = (255, 255, 0) COLOR_PINK = (255, 0, 255) COLOR_PURPLE = (110, 0, 255) color_infected = COLOR_RED color_recovered = COLOR_GREEN color_normal = COLOR_WHITE color_protected = COLOR_PURPLE color_ded = COLOR_DARK_GRAY<|fim_prefix|># repo: PrathameshBhatkar/VirusSimulation path: /VirusS...
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{ "lang": "python", "repo": "PrathameshBhatkar/VirusSimulation", "path": "/VirusSimulation/Colors.py", "mode": "spm", "license": "LicenseRef-scancode-public-domain", "source": "the-stack-v2" }
<|fim_prefix|># repo: RomelHernandez/Programacion-Orientada-a-Objetos path: /herencia.py class Persona: def __init__(self, edad, nombre): self.edad = edad self.nombre = nombre print("Se ha creado a",self.nombre,"de",self.edad) def hablar (self,*palabras): for frase in palab...
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{ "lang": "python", "repo": "RomelHernandez/Programacion-Orientada-a-Objetos", "path": "/herencia.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> print(self.nombre,": Voy a practicar") Juan = Persona(18,"Juan") Juan.hablar("Hola estoy hablando", "Este soy yo") Luis = Deportista(20,"Luis") Luis.hablar("Hola estoy hablando", "Este soy yo") Luis.practicarDeporte()<|fim_prefix|># repo: RomelHernandez/Programacion-Orientada-a-Objetos path: /he...
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{ "lang": "python", "repo": "RomelHernandez/Programacion-Orientada-a-Objetos", "path": "/herencia.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: sray0309/SI-507-final-project path: /schools/michigan.py import requests import sqlite3 from bs4 import BeautifulSoup import json import time SCHOOL = 'michigan' ECE_URL = 'https://ece.engin.umich.edu/people/directory/faculty/' CSE_URL = 'https://cse.engin.umich.edu/people/faculty/' headers = {...
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{ "lang": "python", "repo": "sray0309/SI-507-final-project", "path": "/schools/michigan.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> if (faculty['cache_time'][:7] != time_now[:7] or faculty['total_number'] == 0): print('University of Michigan: Fetching from website...') faculty['cache_time'] = time_now ece_response = requests.get(ECE_URL, headers=headers) cse_response = requests.get(CSE_URL, headers=...
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{ "lang": "python", "repo": "sray0309/SI-507-final-project", "path": "/schools/michigan.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> print('Updating database...') connection = sqlite3.connect('faculty.sqlite') cursor = connection.cursor() delete_old_data = ''' DELETE FROM faculty WHERE SchoolId in (SELECT Id from school WHERE name = "michigan")''' cursor.execute(delete_old...
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{ "lang": "python", "repo": "sray0309/SI-507-final-project", "path": "/schools/michigan.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: CUNY-TTP-Technical-Interview-Prep/cuny-ttp-algo-summer2021-night path: /week1/lecture/reshape-the-matrix/reshape-the-matrix.py # # @lc app=leetcode id=566 lang=python3 # # [566] Reshape the Matrix # # @lc code=start from typing import List class Solution: <|fim_suffix|> m, n = len(mat), l...
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{ "lang": "python", "repo": "CUNY-TTP-Technical-Interview-Prep/cuny-ttp-algo-summer2021-night", "path": "/week1/lecture/reshape-the-matrix/reshape-the-matrix.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>mat = [[1,2],[3,4]] r = 1 c = 4 mat = [[1,2],[3,4]] r = 2 c = 4 mat = [[1,2]] r = 1 c = 1 Sol = Solution() ans = Sol.matrixReshape(mat, r, c) print(f'ans: {ans}')<|fim_prefix|># repo: CUNY-TTP-Technical-Interview-Prep/cuny-ttp-algo-summer2021-night path: /week1/lecture/reshape-the-matrix/reshape-the-matr...
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{ "lang": "python", "repo": "CUNY-TTP-Technical-Interview-Prep/cuny-ttp-algo-summer2021-night", "path": "/week1/lecture/reshape-the-matrix/reshape-the-matrix.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>odels here. admin.site.register(Address) admin.site.register(Order) admin.site.register(FoodSeeker)<|fim_prefix|># repo: AbhisiktaChakraborty/FoodProvidingService path: /OrderManager/raisemodifyorder/admin.py from django.contrib import admin from .models i<|fim_middle|>mport Address,Order,FoodSeeke...
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{ "lang": "python", "repo": "AbhisiktaChakraborty/FoodProvidingService", "path": "/OrderManager/raisemodifyorder/admin.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: AbhisiktaChakraborty/FoodProvidingService path: /OrderManager/raisemodifyorder/admin.py from django.contrib import admin from .models i<|fim_suffix|>te.register(Order) admin.site.register(FoodSeeker)<|fim_middle|>mport Address,Order,FoodSeeker # Register your models here. admin.site.regis...
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{ "lang": "python", "repo": "AbhisiktaChakraborty/FoodProvidingService", "path": "/OrderManager/raisemodifyorder/admin.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: HHalva/hmnlica path: /main.py import os import argparse import sys import pickle from pathlib import Path from jax import random from sklearn.decomposition import PCA from generate_data import gen_source_data from models import init_invertible_mlp_params, invertible_mlp_fwd from train import t...
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{ "lang": "python", "repo": "HHalva/hmnlica", "path": "/main.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # preprocessing if args.whiten: pca = PCA(whiten=True) x_data = pca.fit_transform(x_data) # create variable dicts for training data_dict = {'x_data': x_data, 's_data': s_data, 'state_seq': state_seq} train_dict = {'mix_depth': args.mi...
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{ "lang": "python", "repo": "HHalva/hmnlica", "path": "/main.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: adonnelly759/reveal path: /reveal/views.py from django.shortcuts import render from .models import Codes, Question, Answer from django.contrib import messages from datetime import datetime # Create your views here. def index(request): <|fim_suffix|> if show < today: c = Codes.objects....
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{ "lang": "python", "repo": "adonnelly759/reveal", "path": "/reveal/views.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> if ans: if request.method == "POST": i = request.POST.get("answer") if ans.title == i: ans.correct = True ans.save() sub = c.sub c.sub = sub+1 c.save() ...
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{ "lang": "python", "repo": "adonnelly759/reveal", "path": "/reveal/views.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> allAns = len(Answer.objects.all()) corAns = len(Answer.objects.filter(correct=True)) try: ans = Answer.objects.filter(correct=False)[:1].get() except Answer.DoesNotExist: ans = None if ans: if request.method == "POST": ...
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{ "lang": "python", "repo": "adonnelly759/reveal", "path": "/reveal/views.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: mbsenvoillage/BsoupPG path: /logger.py from os import error from datetime import datetime def format_error(e): <|fim_suffix|>def log(e): try: with open('log.txt', 'a') as f: f.write(format_error(e)) except IOError as e: print(e) except e: print(e)...
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{ "lang": "python", "repo": "mbsenvoillage/BsoupPG", "path": "/logger.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> try: with open('log.txt', 'a') as f: f.write(format_error(e)) except IOError as e: print(e) except e: print(e)<|fim_prefix|># repo: mbsenvoillage/BsoupPG path: /logger.py from os import error from datetime import datetime def format_error(e): return f...
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{ "lang": "python", "repo": "mbsenvoillage/BsoupPG", "path": "/logger.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: reidbaker/barracudaRacko path: /server.py from SimpleXMLRPCServer import SimpleXMLRPCServer from playground import * import logging # Set up logging logging.basicConfig(level=logging.DEBUG) server = SimpleXMLRPCServer(('172.16.89.213', 80), logRequests=False) # Expose a function def ping(messag...
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{ "lang": "python", "repo": "reidbaker/barracudaRacko", "path": "/server.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>def get_deck_exchange(xmlStruct): response = get_racko_deck_exchange(xmlStruct['game_id'],xmlStruct['remaining_microseconds'],xmlStruct['rack'],xmlStruct['card']) return response def move_result(xmlStruct): response = move_racko_result(xmlStruct['game_id'],xmlStruct['move'],xmlStruct) ret...
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{ "lang": "python", "repo": "reidbaker/barracudaRacko", "path": "/server.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> return start_racko_game(xmlStruct['game_id'],xmlStruct['player_id'],xmlStruct['initial_discard'],xmlStruct['other_player_id']) def get_move(xmlStruct): response = get_racko_move(xmlStruct['game_id'],xmlStruct['rack'],xmlStruct['discard'],xmlStruct['remaining_microseconds'],xmlStruct['other_player...
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{ "lang": "python", "repo": "reidbaker/barracudaRacko", "path": "/server.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>fig3 = plt.figure() eigen3 = np.dot(X, U[:,2]) x = np.arange(eigen3.shape[0]) ax = fig3.add_subplot(111) rects = ax.bar(x, eigen3.T, width) plt.title('pca eigen vector 3') plt.show()<|fim_prefix|># repo: Laurawly/ECS271 path: /hw3/pca.py import numpy as np import matplotlib.pyplot as plt import pylab fr...
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{ "lang": "python", "repo": "Laurawly/ECS271", "path": "/hw3/pca.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Laurawly/ECS271 path: /hw3/pca.py import numpy as np import matplotlib.pyplot as plt import pylab from mpl_toolkits.mplot3d import Axes3D from PIL import Image import glob X = np.array([np.array(Image.open(im)).flatten() for im in glob.glob('Images/*.pgm')], 'f') n_samples, n_features = X.shape...
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{ "lang": "python", "repo": "Laurawly/ECS271", "path": "/hw3/pca.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: lanpa/tensorboardX path: /examples/global_1.py # called by demo_global_writer <|fim_suffix|>writer.add_text('my_log', 'greeting from global1') for i in range(100): writer.add_scalar('global1', i) for i in range(100): writer.add_scalar('common', i)<|fim_middle|>from tensorboardX import ...
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{ "lang": "python", "repo": "lanpa/tensorboardX", "path": "/examples/global_1.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>for i in range(100): writer.add_scalar('common', i)<|fim_prefix|># repo: lanpa/tensorboardX path: /examples/global_1.py # called by demo_global_writer from tensorboardX import GlobalSummaryWriter writer = GlobalSummaryWriter.getSummaryWriter() writer.add_text('my_log', 'greeting from global1') <|...
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{ "lang": "python", "repo": "lanpa/tensorboardX", "path": "/examples/global_1.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>writer.add_text('my_log', 'greeting from global1') for i in range(100): writer.add_scalar('global1', i) for i in range(100): writer.add_scalar('common', i)<|fim_prefix|># repo: lanpa/tensorboardX path: /examples/global_1.py # called by demo_global_writer <|fim_middle|>from tensorboardX import ...
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{ "lang": "python", "repo": "lanpa/tensorboardX", "path": "/examples/global_1.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Jakubwlodarczyk/python-ccms-fork-in-eye path: /Common.py import random import string from ui import * import sqlite3 class Common: @classmethod def write_staff_to_file(cls, file_name, obj_list): # for staff """ Writes object list into a DB file. Args: ...
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{ "lang": "python", "repo": "Jakubwlodarczyk/python-ccms-fork-in-eye", "path": "/Common.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> for team in teams_list: c.execute("INSERT INTO teams_list (name) VALUES (?)", [team]) conn.commit() conn.close() @staticmethod def error_integer_handling(chosen_option, value_of_possible_options): """ :param chosen_option: user's input. ...
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{ "lang": "python", "repo": "Jakubwlodarczyk/python-ccms-fork-in-eye", "path": "/Common.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> def add_url(self, url): self.url = url<|fim_prefix|># repo: orenb/hpye path: /song.py class Song: def __init__(self, id, artist, title, key=''): self.id = str(id.encode('utf-8')) self.artist = str(artist.encode('utf-8')) self.title = str(title.encode('utf-8')) ...
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{ "lang": "python", "repo": "orenb/hpye", "path": "/song.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: orenb/hpye path: /song.py class Song: def __init__(self, id, artist, title, key=''): <|fim_suffix|> return "%s - %s" % (self.artist, self.title) def add_url(self, url): self.url = url<|fim_middle|> self.id = str(id.encode('utf-8')) self.artist = str(artist.e...
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{ "lang": "python", "repo": "orenb/hpye", "path": "/song.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>if __name__=='__main__': cmd ='telnet 10.245.3.17' attr={'TIMEOUT': 10,'LOGIN': 'Calix,E7-SIT-S3-2960-2>,40\nenable,word:,40\nadmin,E7-SIT-S3-2960-2#,40','CMD':cmd, 'EXP':'.*'} s = Cisco('sut_local',attr) command='SendLine("abcddddddddddddd",AntiIdle=True)' s.SendLine('command', True, ...
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{ "lang": "python", "repo": "try-dash-now/dash-ia", "path": "/product/Cisco.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: try-dash-now/dash-ia path: /product/Cisco.py #! /usr/bin/env python3 # -*- coding: UTF-8 -*- #from pexpect import spawn, TIMEOUT import time import re as sre import os if os.name!='nt': from Session import Session as CSession else: from WinSession import WinSession as CSession reSession...
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{ "lang": "python", "repo": "try-dash-now/dash-ia", "path": "/product/Cisco.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: linxiao-zhang/json_project path: /publish_time.py import json import codecs from gensim.models import LdaModel from gensim.corpora import Dictionary from gensim import corpora, models import tomotopy as tp <|fim_suffix|> numbers = [] for time_stap in time: number_new = 0 f...
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{ "lang": "python", "repo": "linxiao-zhang/json_project", "path": "/publish_time.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> numbers = [] for time_stap in time: number_new = 0 for time_all in publish_time_all: if time_all == time_stap: number_new = number_new + 1 numbers.append(number_new) final_result = list(zip(time, numbers)) title_file_name = r"D:/topic_6_t...
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{ "lang": "python", "repo": "linxiao-zhang/json_project", "path": "/publish_time.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> template='csvupload.html' context={ 'msg':'Please upload valid file only' } if request.method=='GET': return render(request,template,context) csv_file=request.FILES['file'] if not csv_file.name.endswith('.csv'): messages.error(request,"Please upload Valid CSV ...
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{ "lang": "python", "repo": "ganeshgaud/csv-upload", "path": "/testapp/views.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: ganeshgaud/csv-upload path: /testapp/views.py from django.shortcuts import render from .models import Student from .forms import StudentForm import csv,io from django.contrib import messages from django.http import HttpResponse def file_upload(request): template='csvupload.html' context=...
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{ "lang": "python", "repo": "ganeshgaud/csv-upload", "path": "/testapp/views.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> print "Nr. of rows:", ratingsWithUserAndMovieDataDF.count() ratingsWithUserAndMovieDataDF.sort(['MovieID','UserID']).show(3, truncate=50) # In[22]: ratingsByGenderAndGenreSF = ( ratingsWithUserAndMovieDataDF .withColumn('Genre', F.explode(ratingsWithUserAndMovieDataDF.Genres)) .drop('Genres') .gr...
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{ "lang": "python", "repo": "bpirvu/talks", "path": "/2017-09-27_DataScienceWithPython/02_demo_spark_2.2.0.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|># In[18]: split_udf = udf(lambda s: s.split("|"), T.ArrayType(T.StringType())) moviesDF=moviesDF.withColumn("Genres", split_udf(moviesDF['Genres'])) # In[19]: moviesDF.show(3, truncate=50) # In[20]: ratingsWithUserAndMovieDataDF = ratingsWithUserDataDF.join(moviesDF, how='inner', on='MovieID') ...
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{ "lang": "python", "repo": "bpirvu/talks", "path": "/2017-09-27_DataScienceWithPython/02_demo_spark_2.2.0.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: bpirvu/talks path: /2017-09-27_DataScienceWithPython/02_demo_spark_2.2.0.py # coding: utf-8 # In[1]: import pandas as pd import numpy as np print "Spark version:",sc.version print "Pandas version:",pd.__version__ from pandas import Series, DataFrame from os import getenv DATADIR = getenv("...
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{ "lang": "python", "repo": "bpirvu/talks", "path": "/2017-09-27_DataScienceWithPython/02_demo_spark_2.2.0.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: michellechowdc/CIS5Classwork path: /programControlMotorsTest_wNewCode2.py # issues: servo spazzes and moves to other angles when DC going # DC stops when press to go L/R # DC one direction spins faster than other: set faster to forward import RPi.GPIO as GPIO import sys, tty, termios, time GPIO....
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{ "lang": "python", "repo": "michellechowdc/CIS5Classwork", "path": "/programControlMotorsTest_wNewCode2.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> GPIO.output(servoMotorIn, True) servoMotor.ChangeDutyCycle(12.5) GPIO.output(servoMotorSig, True) # sleep(1) # GPIO.output(servoMotorSig, False) # servoMotor.ChangeDutyCycle(0) # toggle steering def toggleSteering(direction): global wheelStatus if(direction == "right"): ...
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{ "lang": "python", "repo": "michellechowdc/CIS5Classwork", "path": "/programControlMotorsTest_wNewCode2.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: PaulMcMillan/2014_ccc_talk path: /vis_results.py from utils import read_data import matplotlib.pyplot as plt <|fim_suffix|>for key, val in data.items()[-4:]: plt.plot([d[4] for d in val], [d[5]-d[4] for d in val], '.', label=str(key), alpha=0.5) # plt.plot(sorted([d[5]-d[4] ...
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{ "lang": "python", "repo": "PaulMcMillan/2014_ccc_talk", "path": "/vis_results.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>for key, val in data.items()[-4:]: plt.plot([d[4] for d in val], [d[5]-d[4] for d in val], '.', label=str(key), alpha=0.5) # plt.plot(sorted([d[5]-d[4] for d in val]), # #'.', # label=str(key), alpha=0.5) plt.legend() plt.show()<|fim_prefix|># repo: PaulMcMi...
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{ "lang": "python", "repo": "PaulMcMillan/2014_ccc_talk", "path": "/vis_results.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: johnbourg2001/LoL path: /LeagueOLegends-main/calc.py from tkinter import * import csv root = Tk() with open('champions.csv') as csvfile: championsCSV = csv.reader(csvfile, delimiter=',') for row in championsCSV: print (row) list = ("Morgana", "Perl", "one", "Two", "Thre...
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{ "lang": "python", "repo": "johnbourg2001/LoL", "path": "/LeagueOLegends-main/calc.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> myList.insert(j, i) j = j + 1 myList.pack() root.mainloop()<|fim_prefix|># repo: johnbourg2001/LoL path: /LeagueOLegends-main/calc.py from tkinter import * import csv root = Tk() <|fim_middle|>with open('champions.csv') as csvfile: championsCSV = csv.reader(csvfile, delimiter=','...
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{ "lang": "python", "repo": "johnbourg2001/LoL", "path": "/LeagueOLegends-main/calc.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>def lst_d(n): n=n%10 return n print("the first digit is: ",frst_d(n)) print("the last digit is: ",lst_d(n)) sum=frst_d(n)+lst_d(n) print("the sum of first and last digit is: ",sum)<|fim_prefix|># repo: YOGESH-TECH/python-basic-problems path: /lastf.py n=int(input("enter the no. here: ")) def frs...
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{ "lang": "python", "repo": "YOGESH-TECH/python-basic-problems", "path": "/lastf.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: YOGESH-TECH/python-basic-problems path: /lastf.py n=int(input("enter the no. here: ")) def frst_d(n): <|fim_suffix|>def lst_d(n): n=n%10 return n print("the first digit is: ",frst_d(n)) print("the last digit is: ",lst_d(n)) sum=frst_d(n)+lst_d(n) print("the sum of first and last digit i...
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{ "lang": "python", "repo": "YOGESH-TECH/python-basic-problems", "path": "/lastf.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> #queryset,serializer_class 这个变量名是死的不能改 queryset = Course.objects.all() serializer = CourseSerializer(queryset, many=True) return Response(serializer.data) def retrieve(self, request, pk=None): queryset = Course.objects.all() user = get_object_or_404(que...
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{ "lang": "python", "repo": "SJTU-LinCH/Project-SchoolPublicComment", "path": "/web_service/Django1.6.11/database/course/views.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> queryset = Course.objects.all() serializer_class = CourseSerializer class CourseDetail(generics.RetrieveAPIView): queryset = Course.objects.all() serializer_class = CourseSerializer<|fim_prefix|># repo: SJTU-LinCH/Project-SchoolPublicComment path: /web_service/Django1.6.11/database/co...
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{ "lang": "python", "repo": "SJTU-LinCH/Project-SchoolPublicComment", "path": "/web_service/Django1.6.11/database/course/views.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: SJTU-LinCH/Project-SchoolPublicComment path: /web_service/Django1.6.11/database/course/views.py #coding=utf-8 #from django.shortcuts import render,render_to_response #from django.http import HttpResponse,HttpResponseRedirect #from django.template import RequestContext #from django import forms fr...
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{ "lang": "python", "repo": "SJTU-LinCH/Project-SchoolPublicComment", "path": "/web_service/Django1.6.11/database/course/views.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: miyamoto-kentaro/algorithm-python path: /1_sort/2_bubble_sort.py # O(n**2) import random import time from typing import List def time_measurement(sort_func) -> float: <|fim_suffix|> elapsed_time = 0 for _ in range(10): start_time = time.time() sort_func(...
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{ "lang": "python", "repo": "miyamoto-kentaro/algorithm-python", "path": "/1_sort/2_bubble_sort.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>@time_measurement def bubble_sort(numbers: List[int]) -> List[int]: len_numbers = len(numbers) for i in range(len_numbers): for j in range(len_numbers - i - 1): if numbers[j] > numbers[j + 1]: numbers[j],numbers[j + 1] = numbers[j + 1], numbers[j] retur...
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{ "lang": "python", "repo": "miyamoto-kentaro/algorithm-python", "path": "/1_sort/2_bubble_sort.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> len_numbers = len(numbers) for i in range(len_numbers): for j in range(len_numbers - i - 1): if numbers[j] > numbers[j + 1]: numbers[j],numbers[j + 1] = numbers[j + 1], numbers[j] return numbers if __name__=='__main__': nums = [random.randint(0, 10...
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{ "lang": "python", "repo": "miyamoto-kentaro/algorithm-python", "path": "/1_sort/2_bubble_sort.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: HedaYang28/Data_Skills_2_project path: /4pic.py import os import datetime as dt import time #from snownlp import SnowNLP import pandas as pd import matplotlib import matplotlib.pyplot as plt import numpy as np pd.set_option('display.width', 1000) pd.set_option('display.max_columns', No...
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{ "lang": "python", "repo": "HedaYang28/Data_Skills_2_project", "path": "/4pic.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> S1=[] S2=[] S3 = [] CN_up_all=0 CN_down_all=0 CN_normal_all=0 EN_up_all = 0 EN_down_all = 0 EN_normal_all = 0 for i,r, in df_CN.iterrows(): if r['sentiment']==-1: CN_down_all=CN_down_all+1 elif r['sentiment']==1: ...
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{ "lang": "python", "repo": "HedaYang28/Data_Skills_2_project", "path": "/4pic.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> 'Do Something' try: alarms = payload if(len(alarms) < 1): print("Alarm list empty") for alarm in alarms: someObjName = alarm.get("objectName") alarmClass = alarm.get("criticality") alarmText...
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{ "lang": "python", "repo": "aricent/secure-cloud-native-fabric", "path": "/SCRM/notif/k8s_eventhandler.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> #@rpc @event_handler("NatsEventSubscriberService", "Event_K8SEvent") def processEvent(self, payload): 'Do Something' #print("Reached K8s event handler") sys.stdout.flush() events = payload for event in events: """----Add code to put Kubernete...
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{ "lang": "python", "repo": "aricent/secure-cloud-native-fabric", "path": "/SCRM/notif/k8s_eventhandler.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: aricent/secure-cloud-native-fabric path: /SCRM/notif/k8s_eventhandler.py # # Copyright 2019 Altran. 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 Lice...
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{ "lang": "python", "repo": "aricent/secure-cloud-native-fabric", "path": "/SCRM/notif/k8s_eventhandler.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> #tmp files connection = sqlite3.connect("./databases/" + str(self.__filepath) + ".db") try: connection.execute('''CREATE TABLE totalWorth (worth real, date timestamp)''') except sqlite3.OperationalError: pass #already exists now = datetime...
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{ "lang": "python", "repo": "runyanjake/cryptogoochers-old", "path": "/vectorspace/Portfolio.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: runyanjake/cryptogoochers-old path: /vectorspace/Portfolio.py # @author Jake Runyan # @desc A hypothetical trader that unit tests a variety of VectorSpaces' new APIs to see if using those as margins to trade is worth it. # ASSUMED FILE TYPES ARE ".PF" import ccxt import datetime from JScraper i...
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{ "lang": "python", "repo": "runyanjake/cryptogoochers-old", "path": "/vectorspace/Portfolio.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> #TODO: checkout ccxt https://github.com/ccxt/ccxt for selling to a bunch of markets #determine best market, connect to it #CALCULATED BY MEDIAN AMOUNT scpr = JScraper() price_per_share = scpr.retrieveMedians(curr=ticker)[0] #facilitate trade if ticke...
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{ "lang": "python", "repo": "runyanjake/cryptogoochers-old", "path": "/vectorspace/Portfolio.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>USE_L10N = True USE_TZ = True<|fim_prefix|># repo: shafikshaon/banquet_old path: /banquet/config/internationalization.py from decouple import config # Internationalization # https://docs.djangoproject.com/en/2.1/topics/i18n/ <|fim_middle|>LANGUAGE_CODE = 'en-us' TIME_ZONE = config('TIME_ZONE', defaul...
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{ "lang": "python", "repo": "shafikshaon/banquet_old", "path": "/banquet/config/internationalization.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: shafikshaon/banquet_old path: /banquet/config/internationalization.py from decouple import config <|fim_suffix|>TIME_ZONE = config('TIME_ZONE', default='UTC') USE_I18N = True USE_L10N = True USE_TZ = True<|fim_middle|># Internationalization # https://docs.djangoproject.com/en/2.1/topics/i18n/...
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{ "lang": "python", "repo": "shafikshaon/banquet_old", "path": "/banquet/config/internationalization.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: python-qi/python2.7_imooc path: /第三章对象迭代与反迭代技巧训练/如何对迭代器做切片操作/test.py #coding:utf-8 from itertools import islice <|fim_suffix|># for x in i: # print x # for x in range(6): # print i.next() l=[x for x in range(20)] t=iter(l) #会接着原来的位置进行迭代 for x in islice(t,5,10): print x for x in t: ...
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{ "lang": "python", "repo": "python-qi/python2.7_imooc", "path": "/第三章对象迭代与反迭代技巧训练/如何对迭代器做切片操作/test.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|># for x in i: # print x # for x in range(6): # print i.next() l=[x for x in range(20)] t=iter(l) #会接着原来的位置进行迭代 for x in islice(t,5,10): print x for x in t: print x<|fim_prefix|># repo: python-qi/python2.7_imooc path: /第三章对象迭代与反迭代技巧训练/如何对迭代器做切片操作/test.py #coding:utf-8 from itertools impor...
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{ "lang": "python", "repo": "python-qi/python2.7_imooc", "path": "/第三章对象迭代与反迭代技巧训练/如何对迭代器做切片操作/test.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: yukkyo/ResearchSource path: /27_12_25_Nico4/06_RemoveSymbol.py #!/usr/bin/env python # -*- coding: utf-8 -*- import cPickle import re # 形態素解析した結果から、記号や数字のみの単語を削除する after_mecab_file = "../../ResearchData/Experiment4/after_mecab/after_mecab" f_docs_without_symbols = "../../ResearchData/Experimen...
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{ "lang": "python", "repo": "yukkyo/ResearchSource", "path": "/27_12_25_Nico4/06_RemoveSymbol.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> print 'convert unicode to str (encode)' docs_encoded = [[w.encode('utf-8') for w in doc] for doc in docs_without_symbols] docs_without_symbols = None print "len(docs_encoded):" + str(len(docs_encoded)) with open(f_docs_without_symbols + name, 'wb') as f_save: print "open for saving: " + f_do...
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{ "lang": "python", "repo": "yukkyo/ResearchSource", "path": "/27_12_25_Nico4/06_RemoveSymbol.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: JuliGonzalez/CalculatorLibrary path: /calculator.py """ Calculator library contianing basic math operations """ <|fim_suffix|> def substract(first_term, second_term): return second_term - first_term<|fim_middle|>def add(first_term, second_term): return first_term + second_term
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{ "lang": "python", "repo": "JuliGonzalez/CalculatorLibrary", "path": "/calculator.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>def substract(first_term, second_term): return second_term - first_term<|fim_prefix|># repo: JuliGonzalez/CalculatorLibrary path: /calculator.py """ Calculator library contianing basic math operations """ <|fim_middle|>def add(first_term, second_term): return first_term + second_term
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{ "lang": "python", "repo": "JuliGonzalez/CalculatorLibrary", "path": "/calculator.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> def substract(first_term, second_term): return second_term - first_term<|fim_prefix|># repo: JuliGonzalez/CalculatorLibrary path: /calculator.py """ Calculator library contianing basic math operations """ def add(first_term, second_term): <|fim_middle|> return first_term + second_term
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{ "lang": "python", "repo": "JuliGonzalez/CalculatorLibrary", "path": "/calculator.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Uhmier/CSCI-110 path: /taxcalc9-29-14.py #Tennesse Tax calculator #Request amount of items from user #set up while loop to accomodate this amount #Use variable named total in while loop to keep a running total of items #use variable named subtotal to keep running subtotal def is_number(s): <|fim_...
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{ "lang": "python", "repo": "Uhmier/CSCI-110", "path": "/taxcalc9-29-14.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>TN_TAX = 1.09 counter = 1 total = 0 subtotal = 0 num_items= raw_input('How many items do you plan to check out?') while not is_number(num_items) : num_items= raw_input('How many items do you plan to check out?') if is_number(num_items) : num_items = float(num_items) while counter <= num_items : ...
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{ "lang": "python", "repo": "Uhmier/CSCI-110", "path": "/taxcalc9-29-14.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>num_items= raw_input('How many items do you plan to check out?') while not is_number(num_items) : num_items= raw_input('How many items do you plan to check out?') if is_number(num_items) : num_items = float(num_items) while counter <= num_items : item_price = raw_input('What is the price of th...
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{ "lang": "python", "repo": "Uhmier/CSCI-110", "path": "/taxcalc9-29-14.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: nicolaei/master path: /wifi_scanner/__main__.py import json import logging from os import path from json.decoder import JSONDecodeError from functools import partial from sys import argv from datetime import timedelta, datetime from wifi_scanner.algorithms import smooth_scan, full_scan, selectiv...
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{ "lang": "python", "repo": "nicolaei/master", "path": "/wifi_scanner/__main__.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> # This could use Argparse, but that's really overcomplicating this simple # usecase. if len(argv) < 3: print(f"Not enough arguments! " f"Usage: {argv[0]} <scanning algorithm> <scheduler>") exit(1) elif argv[1] not in algorithms.keys(): print(f"Invalid ...
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{ "lang": "python", "repo": "nicolaei/master", "path": "/wifi_scanner/__main__.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: jufei/BtsShell path: /BtsShell/network_lib/__init__.py from BtsShell import connections import re, os import time # try: # from network_config import * # except Exception, e: # print 'import network_config failed: %s' % e # pass #from TcpIp import TcpIps from Pinger imp...
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{ "lang": "python", "repo": "jufei/BtsShell", "path": "/BtsShell/network_lib/__init__.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> # remove units which is already ping successfully for ready_unit in ready_units: try: not_ready_units.remove(ready_unit) except ValueError: pass ready_units = [] # empty the ready_units end_ping_time = time.ti...
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{ "lang": "python", "repo": "jufei/BtsShell", "path": "/BtsShell/network_lib/__init__.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>print lib_p.planet_info(src_planet,nu_obs,beam_solid_str)<|fim_prefix|># repo: tmatsumu/LBInflightPlanetBeamCalib path: /test_v04.py import numpy as np import lib_planetcal as lib_p <|fim_middle|>src_planet = 'Jupiter' nu_obs = 40.e9 beam_solid_str = 2.481e-4
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medium
{ "lang": "python", "repo": "tmatsumu/LBInflightPlanetBeamCalib", "path": "/test_v04.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: tmatsumu/LBInflightPlanetBeamCalib path: /test_v04.py import numpy as np import lib_planetcal as lib_p <|fim_suffix|>print lib_p.planet_info(src_planet,nu_obs,beam_solid_str)<|fim_middle|>src_planet = 'Jupiter' nu_obs = 40.e9 beam_solid_str = 2.481e-4
code_fim
medium
{ "lang": "python", "repo": "tmatsumu/LBInflightPlanetBeamCalib", "path": "/test_v04.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: mingz2013/spider.collections path: /spider.58/spider/mongo.py # -*- coding:utf-8 -*- __author__ = 'zhaojm' import pymongo import logging import random # MONGO # MONGO_URI = "localhost:27017" # mongo_client = pymongo.MongoClient(MONGO_URI) mongo_client = pymongo.MongoClient() job_58_db = mongo_c...
code_fim
hard
{ "lang": "python", "repo": "mingz2013/spider.collections", "path": "/spider.58/spider/mongo.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> pass # @staticmethod # def upsert_company(item): # logging.info("<MONGO> %s" % item) # job_58_db.company_info.update({'company_url': item['company_url']}, {'$set': item}, True, True) # # @staticmethod # def check_have(company_url): # if job_58_db.compan...
code_fim
medium
{ "lang": "python", "repo": "mingz2013/spider.collections", "path": "/spider.58/spider/mongo.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: lantunes/deepdab path: /deepdab/util/helper_functions.py from deepdab import * def print_info(board_size, policy, num_episodes=None, num_iterations=None, learning_rate=None, min_learning_rate=None, epsilon=None, min_epsilon=None, temperature=None, min_temperature=None, mode='self...
code_fim
hard
{ "lang": "python", "repo": "lantunes/deepdab", "path": "/deepdab/util/helper_functions.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> symmetries = [] for sym in all_possible: if not contains(symmetries, sym): symmetries.append([convert_edge_matrix_to_board_state(sym[0], edge_length), convert_edge_matrix_to_board_state(sym[1], edge_length)]) return symmetries def append_tr...
code_fim
hard
{ "lang": "python", "repo": "lantunes/deepdab", "path": "/deepdab/util/helper_functions.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: jluizmonte/django-livraria path: /apps/author/migrations/0002_auto_20191215_2358.py # Generated by Django 3.0 on 2019-12-15 23:58 from django.db import migrations, models <|fim_suffix|> dependencies = [ ('genre', '0001_initial'), ('author', '0001_initial'), ] operati...
code_fim
medium
{ "lang": "python", "repo": "jluizmonte/django-livraria", "path": "/apps/author/migrations/0002_auto_20191215_2358.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> operations = [ migrations.RemoveField( model_name='author', name='genre', ), migrations.AddField( model_name='author', name='genre', field=models.ManyToManyField(to='genre.Genre', verbose_name='Gênero'), ), ...
code_fim
medium
{ "lang": "python", "repo": "jluizmonte/django-livraria", "path": "/apps/author/migrations/0002_auto_20191215_2358.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }