text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>T = int(sys.stdin.readline())
for i in range(T):
N = int(sys.stdin.readline())
health = []
line = sys.stdin.readline().split()
for health_val in line:
health.append(int(health_val))
print (tackle_mandragora(health))<|fim_prefix|># repo: anshuli-patil/DynamicProgramming path: /... | code_fim | hard | {
"lang": "python",
"repo": "anshuli-patil/DynamicProgramming",
"path": "/mandragora.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anshuli-patil/DynamicProgramming path: /mandragora.py
import sys
def tackle_mandragora(health):
health.sort()
# for all tipping points, where we change over from eating to defeating
defeating = defeating_cost_precompute(health)
opt = 0
for i in range(0, len(health) + 1):
... | code_fim | medium | {
"lang": "python",
"repo": "anshuli-patil/DynamicProgramming",
"path": "/mandragora.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ClearBlade/ClearBlade-Patterns path: /Stepper Motor Pattern/motor.py
import paho.mqtt.client as paho
import RPi.GPIO as GPIO
import json, time, math
import clearblade
from clearblade import auth
from clearblade import Client
from urlparse import urlparse
#Fill init values
systemKey = ______
secr... | code_fim | hard | {
"lang": "python",
"repo": "ClearBlade/ClearBlade-Patterns",
"path": "/Stepper Motor Pattern/motor.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(msg.topic + " " + str(msg.qos) + " " + str(msg.payload))
command = msg.payload
commandJson = json.loads(command)
controlState = str(commandJson['controlState'])
angle = commandJson['state']
print ("Control State :"+controlState)
print ("Angle:"+str(angle))
StepMotor(controlState, angle)
pri... | code_fim | hard | {
"lang": "python",
"repo": "ClearBlade/ClearBlade-Patterns",
"path": "/Stepper Motor Pattern/motor.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# Define event callbacks
def on_connect(mosq, obj, rc):
print("rc: " + str(rc))
def on_message(mosq, obj, msg):
print(msg.topic + " " + str(msg.qos) + " " + str(msg.payload))
command = msg.payload
commandJson = json.loads(command)
controlState = str(commandJson['controlState'])
angle = commandJson... | code_fim | hard | {
"lang": "python",
"repo": "ClearBlade/ClearBlade-Patterns",
"path": "/Stepper Motor Pattern/motor.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> images_to_show = []
labels_to_show = []
for label, image in image_dict.items():
labels_to_show.append(label_names[label])
for i in image:
images_to_show.append(i)
images_tensor = torch.stack([torch.Tensor(i) for i in images_to_show])
imshow(tor... | code_fim | hard | {
"lang": "python",
"repo": "alekhyam94/Big_Data_Assignment_1",
"path": "/code/utils.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alekhyam94/Big_Data_Assignment_1 path: /code/utils.py
import pickle
import numpy as np
import torch
import time
import torchvision
import matplotlib
import matplotlib.pyplot as plt
def load_cifar_data(data_files):
data = []
labels = []
for file in data_files:
with open(file, ... | code_fim | hard | {
"lang": "python",
"repo": "alekhyam94/Big_Data_Assignment_1",
"path": "/code/utils.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> sample_mean = torch.mean(sample_values, dim=1)
sample_m2 = torch.sum((sample_values - sample_mean[:, None]) ** 2, dim=1)
delta = sample_mean - mean
mean += delta * batch_size / new_count
corr = batch_size * count / new_count
M2 += sample_m2 + delta**2 * cor... | code_fim | hard | {
"lang": "python",
"repo": "atomistic-machine-learning/schnetpack",
"path": "/src/schnetpack/data/stats.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: atomistic-machine-learning/schnetpack path: /src/schnetpack/data/stats.py
from typing import Dict, Tuple
import torch
from tqdm import tqdm
import schnetpack.properties as structure
from schnetpack.data import AtomsLoader
__all__ = ["calculate_stats"]
def calculate_stats(
dataloader: Ato... | code_fim | medium | {
"lang": "python",
"repo": "atomistic-machine-learning/schnetpack",
"path": "/src/schnetpack/data/stats.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> delta = sample_mean - mean
mean += delta * batch_size / new_count
corr = batch_size * count / new_count
M2 += sample_m2 + delta**2 * corr
count = new_count
stddev = torch.sqrt(M2 / count)
stats = {pn: (mu, std) for pn, mu, std in zip(property_names, mean, s... | code_fim | medium | {
"lang": "python",
"repo": "atomistic-machine-learning/schnetpack",
"path": "/src/schnetpack/data/stats.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sellnat77/FlaskExperiments path: /app/logger.py
import os
def log(text, level=2, outFile='log.txt'):
text = str(text)
if level == 0:
return True
if level == 3:
with open(outFile, 'a') as logger:
logger.write(text)
logger.close()
... | code_fim | medium | {
"lang": "python",
"repo": "sellnat77/FlaskExperiments",
"path": "/app/logger.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
log('hello world',2,'temp.txt')<|fim_prefix|># repo: sellnat77/FlaskExperiments path: /app/logger.py
import os
def log(text, level=2, outFile='log.txt'):
text = str(text)
if level == 0:
return True
if level == 3:
with open(outFile, '... | code_fim | medium | {
"lang": "python",
"repo": "sellnat77/FlaskExperiments",
"path": "/app/logger.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Initialize the trash
trash = []
# Test silver and gold = 0
supply["Copper"]=[Dominion.Copper()]*(60-len(player_names)*7)
supply["Silver"]=[Dominion.Silver()]*0
supply["Gold"]=[Dominion.Gold()]*0
# Construct the Player objects
players = testUtility.set_players(player_names)
# Play the game
testUtility.... | code_fim | hard | {
"lang": "python",
"repo": "lieuraymond/CS362-W2020",
"path": "/projects/lieur/dominion/testDominion2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lieuraymond/CS362-W2020 path: /projects/lieur/dominion/testDominion2.py
# -*- coding: utf-8 -*-
""""
Created on Saturday, January 18, 2020
@author: lieur
This test case sets silver and gold to 0, which in most cases prevent the computer from
buying provinces. This tests to see if the game ends... | code_fim | medium | {
"lang": "python",
"repo": "lieuraymond/CS362-W2020",
"path": "/projects/lieur/dominion/testDominion2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>= re.search(pattern,string)
lastBracket = re.split("\].*\[",match.group(1))[-1]
print lastBracket<|fim_prefix|># repo: eleanoryc/python_scripts path: /regex1.py
import re
list = ["Protein XVZ [Human]","Protein ABC [Mouse]","go UDP[3] glucosamine N-acyltransferase [<|fim_middle|>virus1]","Protein ... | code_fim | hard | {
"lang": "python",
"repo": "eleanoryc/python_scripts",
"path": "/regex1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eleanoryc/python_scripts path: /regex1.py
import re
list = ["Protein XVZ [Human]","Protein ABC [Mouse]","go UDP[3] glucosamine N-acyltransferase [<|fim_suffix|>= re.search(pattern,string)
lastBracket = re.split("\].*\[",match.group(1))[-1]
print lastBracket<|fim_middle|>virus1]","Protein ... | code_fim | hard | {
"lang": "python",
"repo": "eleanoryc/python_scripts",
"path": "/regex1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for face_to_compare in self.__known_face_encodings:
print(face_recognition.face_distance(unknown_face_encodings, face_to_compare))
for i, unknown_face_encoding in enumerate(unknown_face_encodings):
img_file = osp.basename(self.__unknown_images_paths[i])
... | code_fim | hard | {
"lang": "python",
"repo": "evil-nerver-die/FaceRecognitionContest",
"path": "/src/Server/engine/face_recognition_lib/face_recognition_lib.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: evil-nerver-die/FaceRecognitionContest path: /src/Server/engine/face_recognition_lib/face_recognition_lib.py
import face_recognition
from glob import glob
import os.path as osp
class FaceRecognitionLib(object):
"""
face_recognition library を利用した顔認証検証
"""
# クラス変数設定
... | code_fim | hard | {
"lang": "python",
"repo": "evil-nerver-die/FaceRecognitionContest",
"path": "/src/Server/engine/face_recognition_lib/face_recognition_lib.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def recognition(self):
"""
Recognition
"""
unknown_face_encodings = self.__make_face_encodings(images_path=self.__unknown_images_paths)
print('shape of unknown_face_encodings = ({}, {})'.format(len(unknown_face_encodings),
... | code_fim | hard | {
"lang": "python",
"repo": "evil-nerver-die/FaceRecognitionContest",
"path": "/src/Server/engine/face_recognition_lib/face_recognition_lib.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hadoop73/sklearn path: /predict_risk/feature/browser_history_2.py
# coding:utf-8
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from multiprocessing import Pool
"""
用户id,时间戳,浏览行为数据,浏览子行为编号
"""
names = ['userid','time','browser_behavior','browser_behavior_number']
browse... | code_fim | hard | {
"lang": "python",
"repo": "hadoop73/sklearn",
"path": "/predict_risk/feature/browser_history_2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> browser_behavior_tp = list(data.browser_behavior.unique())
pool = Pool(12)
rst = pool.map(browser_behavior_u,users)
pool.close()
pool.join()
Data = pd.DataFrame(rst)
#Datas = pd.merge(Datas,Data,on='userid')
del Data,rst,t,data
def browser_behavior_number_u(u):
d = ... | code_fim | hard | {
"lang": "python",
"repo": "hadoop73/sklearn",
"path": "/predict_risk/feature/browser_history_2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
user = User(first_name=request.POST.get('first_name'), last_name=request.POST.get(
'last_name'), email=request.POST.get('email'), username=request.POST.get('email'))
user.set_password(request.POST.get('password'))
user.save()
except ... | code_fim | medium | {
"lang": "python",
"repo": "KRNK97/Dummy-Course-Model",
"path": "/users/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KRNK97/Dummy-Course-Model path: /users/views.py
from django.shortcuts import render, HttpResponseRedirect, HttpResponse
from django.views.generic import View
from django.contrib.auth import login
from django.contrib.auth.models import User
class RegisterView(View):
def get(self, request):
... | code_fim | medium | {
"lang": "python",
"repo": "KRNK97/Dummy-Course-Model",
"path": "/users/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class HomeView(View):
def get(self, request):
return HttpResponse(f"Home Page | Logged in as - {request.user}")<|fim_prefix|># repo: KRNK97/Dummy-Course-Model path: /users/views.py
from django.shortcuts import render, HttpResponseRedirect, HttpResponse
from django.views.generic import View
fr... | code_fim | hard | {
"lang": "python",
"repo": "KRNK97/Dummy-Course-Model",
"path": "/users/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>url = "https://www.python.org/"
resp = requests.get(url)
print(resp) # 200, 정상 동작
url2 = "https://www.python.org/1"
resp2 = requests.get(url2)
print(resp2) # 404 error, 해당 페이지를 찾을 수 없음<|fim_prefix|># repo: yoongyoonge/python_100Q path: /code/1. Web_Scraping/001.py
# 001. 웹 서버에 요청하고 응답받기
# 학습 내용 : 웹 서버에 ... | code_fim | easy | {
"lang": "python",
"repo": "yoongyoonge/python_100Q",
"path": "/code/1. Web_Scraping/001.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>url2 = "https://www.python.org/1"
resp2 = requests.get(url2)
print(resp2) # 404 error, 해당 페이지를 찾을 수 없음<|fim_prefix|># repo: yoongyoonge/python_100Q path: /code/1. Web_Scraping/001.py
# 001. 웹 서버에 요청하고 응답받기
# 학습 내용 : 웹 서버에 접속하여 웹 페이지 정보를 요청하고 서버로부터 응답 객체를 받는 과정을 이해한다.
# 힌트 내용 : requests 모듈의 get() 함수에 접속하려... | code_fim | medium | {
"lang": "python",
"repo": "yoongyoonge/python_100Q",
"path": "/code/1. Web_Scraping/001.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yoongyoonge/python_100Q path: /code/1. Web_Scraping/001.py
# 001. 웹 서버에 요청하고 응답받기
# 학습 내용 : 웹 서버에 접속하여 웹 페이지 정보를 요청하고 서버로부터 응답 객체를 받는 과정을 이해한다.
# 힌트 내용 : requests 모듈의 get() 함수에 접속하려는 웹 페이지의 주소(URL)를 입력한다.
<|fim_suffix|>url2 = "https://www.python.org/1"
resp2 = requests.get(url2)
print(resp2) # 4... | code_fim | medium | {
"lang": "python",
"repo": "yoongyoonge/python_100Q",
"path": "/code/1. Web_Scraping/001.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: beomjungil/notion-as-ticket-system path: /app/routers/go.py
from fastapi import APIRouter, Depends
from fastapi.responses import RedirectResponse
<|fim_suffix|>
router = APIRouter(
prefix="/go",
)
@router.get("/{prefix_id}")
def redirect_to_board(project: Project = Depends(get_project_by_p... | code_fim | medium | {
"lang": "python",
"repo": "beomjungil/notion-as-ticket-system",
"path": "/app/routers/go.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> ticket_id: str, project: Project = Depends(get_project_by_prefix)
):
ticket = project.query_ticket(ticket_id=ticket_id)
notion_url = setting.notion_base_url + ticket.id.replace("-", "")
return RedirectResponse(url=notion_url)<|fim_prefix|># repo: beomjungil/notion-as-ticket-system path: /... | code_fim | medium | {
"lang": "python",
"repo": "beomjungil/notion-as-ticket-system",
"path": "/app/routers/go.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('post', '0014_profilepic_user'),
]
operations = [
migrations.CreateModel(
name='profile_pic',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
... | code_fim | medium | {
"lang": "python",
"repo": "Shariar13/Django_find-doctor",
"path": "/post/migrations/0015_profile_pic.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Shariar13/Django_find-doctor path: /post/migrations/0015_profile_pic.py
# Generated by Django 3.1.2 on 2021-02-13 14:40
from django.db import migrations, models
<|fim_suffix|> operations = [
migrations.CreateModel(
name='profile_pic',
fields=[
... | code_fim | medium | {
"lang": "python",
"repo": "Shariar13/Django_find-doctor",
"path": "/post/migrations/0015_profile_pic.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('post', '0014_profilepic_user'),
]
operations = [
migrations.CreateModel(
name='profile_pic',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
(... | code_fim | medium | {
"lang": "python",
"repo": "Shariar13/Django_find-doctor",
"path": "/post/migrations/0015_profile_pic.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: questonit/numerical-methods path: /1.py
import numpy as np
import math
a = [
[0.54, -0.04, 0.10],
[-0.04, 0.50, 0.12],
[0.10, 0.12, 0.71]
]
b = [0.33, -0.05, 0.28]
# Метод Гаусса
def gauss(left, right, prec=3):
# Создаем расширенную матрицу
arr = np.concatenate((np.array(le... | code_fim | hard | {
"lang": "python",
"repo": "questonit/numerical-methods",
"path": "/1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def norm_3(matrix):
data = np.square(np.array(matrix).flatten())
return math.sqrt(np.sum(data))
def converges(matrix):
return norm_1(matrix) < 1 or norm_2(matrix) < 1 or norm_3(matrix) < 1
# Метод простой итерации
def iteration(left, right, eps=0.0001, prec=5):
# Формируем матрицу Альфа... | code_fim | hard | {
"lang": "python",
"repo": "questonit/numerical-methods",
"path": "/1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Dev-Cloud-Platform/Dev-Cloud path: /dev_cloud/web_service/templatetags/form_tags.py
# -*- coding: utf-8 -*-
# @COPYRIGHT_begin
#
# Copyright [2015] Michał Szczygieł, M4GiK Software
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance... | code_fim | medium | {
"lang": "python",
"repo": "Dev-Cloud-Platform/Dev-Cloud",
"path": "/dev_cloud/web_service/templatetags/form_tags.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@register.inclusion_tag('tags/sendForm.html')
def show_sendform(form):
"""
Renders given form without marking required fields.
@param form:
@return:
"""
return {'form': form, 'required_fields': True}
@register.inclusion_tag('tags/loginForm.html')
def show_loginform(form):
""... | code_fim | hard | {
"lang": "python",
"repo": "Dev-Cloud-Platform/Dev-Cloud",
"path": "/dev_cloud/web_service/templatetags/form_tags.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> sheet = workbook.add_sheet(unit_info, cell_overwrite_ok=True)
begin_row = 0
for i in range(len(result)):
try:
if is_alphabet(result[i][1][0]):
sheet.write(begin_row, ENGLISH_WORD, label=result[i][1])
sheet.write(begin_row, CHINESE_TRANSLATE, ... | code_fim | hard | {
"lang": "python",
"repo": "lipengallan/code",
"path": "/mypython/word.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lipengallan/code path: /mypython/word.py
#!/usr/bin/env python
#coding:utf-8
import sys
import time
reload(sys)
sys.setdefaultencoding('utf8')
from bs4 import BeautifulSoup
import requests
import csv
import codecs
import xlwt
#from word_power_dict import get_url_dict
#from Vocabulary_Toefl_MP3s_... | code_fim | hard | {
"lang": "python",
"repo": "lipengallan/code",
"path": "/mypython/word.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = []
for one_url in urls:
content = check_link(one_url)
soup = BeautifulSoup(content, 'lxml')
trs = soup.find_all('tr')
for tr in trs:
ui = []
for td in tr:
ui.append(td.string)
result.append(ui)
tim... | code_fim | hard | {
"lang": "python",
"repo": "lipengallan/code",
"path": "/mypython/word.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Given
decomposition: List[Tuple[int, str]] = [(234, 'ns')]
# When
parsed_duration: str = parse_decomposed_duration(decomposition)
# Then
expected_parsed_duration: str = '234 ns'
self.assertEqual(expected_parsed_duration, parsed_duration)
def... | code_fim | hard | {
"lang": "python",
"repo": "sofienealouini/advent-of-code-2020",
"path": "/solutions/python/tests/test_common/test_timing.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Then
expected_parsed_duration: str = '45.001 s'
self.assertEqual(expected_parsed_duration, parsed_duration)
def test_parse_decomposed_duration_min(self):
# Given
decomposition: List[Tuple[int, str]] = [(1, 'min'), (5, 's'), (1, 'ms'), (23, 'μs'), (456, 'ns')]... | code_fim | hard | {
"lang": "python",
"repo": "sofienealouini/advent-of-code-2020",
"path": "/solutions/python/tests/test_common/test_timing.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sofienealouini/advent-of-code-2020 path: /solutions/python/tests/test_common/test_timing.py
from typing import List, Tuple
from unittest import TestCase
from solutions.python.common.timing import decompose, parse_decomposed_duration, format_duration
class TestTiming(TestCase):
def test_de... | code_fim | hard | {
"lang": "python",
"repo": "sofienealouini/advent-of-code-2020",
"path": "/solutions/python/tests/test_common/test_timing.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: danluu/dump path: /terra/wat.py
import json
parsed = {}
with open('/Users/danluu/dev/dump/terra/filtered_events.json','r') as f:
# with open('/Users/danluu/dev/dump/terra/game-data/2017-05.json','r') as f:
# with open('/Users<|fim_suffix|>arsed, indent=2))
print(json.dumps(parsed["4pLeague_S1_... | code_fim | medium | {
"lang": "python",
"repo": "danluu/dump",
"path": "/terra/wat.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>arsed, indent=2))
print(json.dumps(parsed["4pLeague_S1_D1L1_G4"]["events"]["faction"], indent=2))<|fim_prefix|># repo: danluu/dump path: /terra/wat.py
import json
parsed = {}
with open('/Users/danluu/dev/dump/terra/filtered_events.json','r') as f<|fim_middle|>:
# with open('/Users/danluu/dev/dump/terr... | code_fim | medium | {
"lang": "python",
"repo": "danluu/dump",
"path": "/terra/wat.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Intey/banking path: /backend/groups/models.py
# -*- coding: utf-8 -*-
from django.db import models
from backend.models.account import Account
from string import Template
out = Template("$account: $parts")
class Group(models.Model):
name = models.CharField(max_length=100)
<|fim_suffix|... | code_fim | hard | {
"lang": "python",
"repo": "Intey/banking",
"path": "/backend/groups/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __str__(self):
return out.substitute(account=self.account, parts=self.parts)
class Meta:
unique_together = ('account', 'parts', 'group')<|fim_prefix|># repo: Intey/banking path: /backend/groups/models.py
# -*- coding: utf-8 -*-
from django.db import models
from backend.mode... | code_fim | hard | {
"lang": "python",
"repo": "Intey/banking",
"path": "/backend/groups/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#print 4 perfect numbers in range
if total==value:
print(value)
num_perfect +=1
if num_perfect > 4:
break<|fim_prefix|># repo: ivannarodriguez/CS-108 path: /lab05/find_perfects.py
'''Finding Perfect Numbers
3/2/17
@author: Annalane Miller (asm9) and Ivanna Rodrigue... | code_fim | hard | {
"lang": "python",
"repo": "ivannarodriguez/CS-108",
"path": "/lab05/find_perfects.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ivannarodriguez/CS-108 path: /lab05/find_perfects.py
'''Finding Perfect Numbers
3/2/17
@author: Annalane Miller (asm9) and Ivanna Rodriguez (imr6)'''
<|fim_suffix|> total= sum(divisors)
#print 4 perfect numbers in range
if total==value:
print(value)
num_perfect +=1
... | code_fim | hard | {
"lang": "python",
"repo": "ivannarodriguez/CS-108",
"path": "/lab05/find_perfects.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: guoliangxd/interview path: /huawei/Python/getGC.py
def getGC(st):
n = 0
for char in st:
if char == 'C' or char == 'G':
n += 1
retur<|fim_suffix|>
maxLen = getGC(sub)
subDNA = sub
print(subDNA)
except:
break<|fim_m... | code_fim | hard | {
"lang": "python",
"repo": "guoliangxd/interview",
"path": "/huawei/Python/getGC.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
maxLen = getGC(sub)
subDNA = sub
print(subDNA)
except:
break<|fim_prefix|># repo: guoliangxd/interview path: /huawei/Python/getGC.py
def getGC(st):
n = 0
for char in st:
if char == 'C' or char == 'G':
n += 1
retur<|fim_m... | code_fim | hard | {
"lang": "python",
"repo": "guoliangxd/interview",
"path": "/huawei/Python/getGC.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Hossain-Shah/Project path: /wellnymedicalservices/doctors/forms.py
from django import forms
from .models import Diagnosis, TODOItem
<|fim_suffix|>
class Meta:
model = Diagnosis
fields = ['name', 'Rostered_physician', 'condition', 'details', 'date_of_diagnosis', 'content... | code_fim | easy | {
"lang": "python",
"repo": "Hossain-Shah/Project",
"path": "/wellnymedicalservices/doctors/forms.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Meta:
model = TODOItem
fields = ['job', 'due_date', 'medication_details', 'completed']<|fim_prefix|># repo: Hossain-Shah/Project path: /wellnymedicalservices/doctors/forms.py
from django import forms
from .models import Diagnosis, TODOItem
<|fim_middle|>class Diagnosis... | code_fim | hard | {
"lang": "python",
"repo": "Hossain-Shah/Project",
"path": "/wellnymedicalservices/doctors/forms.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># TODO (wardlt): Move to the MPNN library?
class GraphLoader(tf.keras.utils.Sequence):
"""Keras-compatible data loader for training a graph problem"""
def __init__(self, smiles: List[str], atom_types: List[int], bond_types: List[str],
outputs: List[float], batch_size: int, shuffl... | code_fim | hard | {
"lang": "python",
"repo": "tskluzac/colmena",
"path": "/molecule-design/moldesign/score/mpnn.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tskluzac/colmena path: /molecule-design/moldesign/score/mpnn.py
"""Functions for updating and performing bulk inference using an Keras MPNN model"""
from typing import List, Dict, Tuple
import numpy as np
import tensorflow as tf
from molgym.mpnn.data import convert_nx_to_dict
from molgym.mpnn.la... | code_fim | hard | {
"lang": "python",
"repo": "tskluzac/colmena",
"path": "/molecule-design/moldesign/score/mpnn.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Get the molecules and outputs out
mols, y = zip(*chunk)
x = _merge_batch(mols)
return x, np.array(y)
def __len__(self):
# Get the number of batches
train_size = len(self.entries)
n_batches = train_size // self.batch_size
# Add a parti... | code_fim | hard | {
"lang": "python",
"repo": "tskluzac/colmena",
"path": "/molecule-design/moldesign/score/mpnn.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: szabo137/pySnippets path: /testPyScaffold/sfTrident/tests/tobiasLib/A_Funktion.py
from Config_paar import *
from Envelopefkt import *
from Kinematik import *
def A_m_n(M,N,x_plus,p_el,p_pos,k_photon,k_laser):
def f1(p):
return -(m*a0)/(pk(p)) * g(phi,sigma,Envelope) *( pe(1,p) * co... | code_fim | hard | {
"lang": "python",
"repo": "szabo137/pySnippets",
"path": "/testPyScaffold/sfTrident/tests/tobiasLib/A_Funktion.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> phi = w_laser * x_plus
H_plus = s*phi - f(p_el) + f(-p_pos)
A = g(phi,sigma,Envelope)**M *exp( 1j* ( H_plus + N*phi))
return A
def A_0_0 (A11,A1_1,A20,A22,A2_2):
p_pos,p_el,k_laser,k_photon,q_pos,eps_m,eps_p = kinematik()
pk =... | code_fim | hard | {
"lang": "python",
"repo": "szabo137/pySnippets",
"path": "/testPyScaffold/sfTrident/tests/tobiasLib/A_Funktion.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HammadBukhari/F20-44-D-SmartSlides path: /SmartSlidesML/dataset_creation_functions/text_xml.py
import glob
import os
import xml.etree.ElementTree as ET
file_dirs = ["train/","test/"]
for file_dir in file_dirs:
fdir = "custom_dataset/" + file_dir
for directory in os.listdir(fdir):
... | code_fim | hard | {
"lang": "python",
"repo": "HammadBukhari/F20-44-D-SmartSlides",
"path": "/SmartSlidesML/dataset_creation_functions/text_xml.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> root[1].text = name
frame_name = root[2].text[root[2].text.rfind('/') +1:]
root[2].text = (new_location + "/" + frame_name)
tree.write(fdir + directory + "/" + frame_name[:-4] + '.xml')<|fim_prefix|># repo: HammadBukhari/F20-44-D-SmartSlides path: /SmartSlid... | code_fim | hard | {
"lang": "python",
"repo": "HammadBukhari/F20-44-D-SmartSlides",
"path": "/SmartSlidesML/dataset_creation_functions/text_xml.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("Group n: {} count: {}".format(currentGroup.n, currentGroup.amount))
bar = Bar(el[0], nodes[int(el[1])-1], nodes[int(el[2])-1], groups[groupCounter])
print(
"""
Bar {} created
Start node: {} End Node: {} Group: {}
""".fo... | code_fim | hard | {
"lang": "python",
"repo": "transcal-proj2/proj1",
"path": "/reader.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif section == 'loads':
if len(el) == 1:
result[section]['count'] = el[0]
else:
load = Load(el[1], el[2])
nodeIndex = next((e for e, item in enumerate(
result['coordinates']['nodes']) if item.n == int(el[0])), None
... | code_fim | hard | {
"lang": "python",
"repo": "transcal-proj2/proj1",
"path": "/reader.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: transcal-proj2/proj1 path: /reader.py
from elements import Node, Bar, Material, Group, Load
from pprint import pprint
# query
# next((e for e in result['coordinates']['nodes'] if e.n == int(el[0])), None)
class Reader():
def read(self, filePath):
"""
Reads text file with nodes and re... | code_fim | hard | {
"lang": "python",
"repo": "transcal-proj2/proj1",
"path": "/reader.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self,
request: HttpServletRequest,
response: HttpServletResponse,
handler: object,
) -> ModelAndView:
handler: Controller = handler
return handler.handle_request(request, response)
def get_last_modified(
self, request: HttpServletRequest, ha... | code_fim | medium | {
"lang": "python",
"repo": "j40903272/spring-webmvc-python",
"path": "/springframework/web/servlet/mvc/SimpleControllerHandlerAdapter.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: j40903272/spring-webmvc-python path: /springframework/web/servlet/mvc/SimpleControllerHandlerAdapter.py
from springframework.web.servlet import ModelAndView
from springframework.web.servlet.HandlerAdapter import HandlerAdapter
from springframework.web.servlet.mvc.Controller import Controller
from... | code_fim | hard | {
"lang": "python",
"repo": "j40903272/spring-webmvc-python",
"path": "/springframework/web/servlet/mvc/SimpleControllerHandlerAdapter.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ziberty/PythonLabyrinthe path: /objets/piece.py
from objet import Objet
class Piece(Objet):
<|fim_suffix|> joueur.addPiece()
def depenser(self,joueur):
joueur.depenserPiece()
def description(self):
return "Vous avez trouvé une piece, peut etre trouverez v... | code_fim | medium | {
"lang": "python",
"repo": "ziberty/PythonLabyrinthe",
"path": "/objets/piece.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ziberty/PythonLabyrinthe path: /objets/piece.py
from objet import Objet
class Piece(Objet):
""" Représente une piece qui permet d'acheter dans la boutique """
<|fim_suffix|> return "Vous avez trouvé une piece, peut etre trouverez vous un marchand"<|fim_middle|> def ramasser(se... | code_fim | medium | {
"lang": "python",
"repo": "ziberty/PythonLabyrinthe",
"path": "/objets/piece.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def description(self):
return "Vous avez trouvé une piece, peut etre trouverez vous un marchand"<|fim_prefix|># repo: ziberty/PythonLabyrinthe path: /objets/piece.py
from objet import Objet
class Piece(Objet):
""" Représente une piece qui permet d'acheter dans la boutique """
de... | code_fim | easy | {
"lang": "python",
"repo": "ziberty/PythonLabyrinthe",
"path": "/objets/piece.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> metavar='/path/to/testing/image/directory', help="Path to testing image directory")
parser.add_argument('--video', required=False,
metavar='/path/to/testing/image/directory', help="Path to testing image directory")
return parser.parse_args()<|fim_prefix|># repo: qu... | code_fim | hard | {
"lang": "python",
"repo": "quanghuy0497/Mask_R-CNN",
"path": "/mrcnn/parse_args.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: quanghuy0497/Mask_R-CNN path: /mrcnn/parse_args.py
import argparse
def parse_args():
"""
Parse command-line arguments to train and evaluate a multimodal network for activity recognition on MM-Fit.
:return: Populated namespace.
"""
parser = argparse.ArgumentParser(description... | code_fim | hard | {
"lang": "python",
"repo": "quanghuy0497/Mask_R-CNN",
"path": "/mrcnn/parse_args.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: onthrak/python_courses path: /chapter9assignment.py
name = raw_input("Enter file:")
if len(name) < 1 : name = "mbox-short.txt"
handle = open(name)
x = list()
for line in handle:
line.split() ## unnesssecary
if line.startswith("From "):
x.append(line[line.find(" ")+1:line.find(" ",... | code_fim | hard | {
"lang": "python",
"repo": "onthrak/python_courses",
"path": "/chapter9assignment.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
### print max of numbers mails and name with max numbers of mails
for names,vals in counts.items():
if vals == max(counts.values()):
print names,vals<|fim_prefix|># repo: onthrak/python_courses path: /chapter9assignment.py
name = raw_input("Enter file:")
if len(name) < 1 : name = "mbox-short.t... | code_fim | medium | {
"lang": "python",
"repo": "onthrak/python_courses",
"path": "/chapter9assignment.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: john-science/HadoopWithPython path: /pig/udfs/string_funcs.py
from pig_util import outputSchema
<|fim_suffix|> """
Return the length of the provided word
"""
return len(word)<|fim_middle|>@outputSchema('word:chararray')
def reverse(word):
"""
Return the reverse text of the provi... | code_fim | medium | {
"lang": "python",
"repo": "john-science/HadoopWithPython",
"path": "/pig/udfs/string_funcs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@outputSchema('length:int')
def num_chars(word):
"""
Return the length of the provided word
"""
return len(word)<|fim_prefix|># repo: john-science/HadoopWithPython path: /pig/udfs/string_funcs.py
from pig_util import outputSchema
<|fim_middle|>@outputSchema('word:chararray')
def reverse(word... | code_fim | medium | {
"lang": "python",
"repo": "john-science/HadoopWithPython",
"path": "/pig/udfs/string_funcs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pushyzheng/flask-rabbitmq path: /example/producer/app/__init__.py
#encoding:utf-8
from flask import Flask
import config
from flask_rabbitmq import Queue, RabbitMQ
<|fim_suffix|>queue = Queue()
mq = RabbitMQ(app, queue)
from app import demo<|fim_middle|>app = Flask(__name__)
app.config.from_obje... | code_fim | easy | {
"lang": "python",
"repo": "pushyzheng/flask-rabbitmq",
"path": "/example/producer/app/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>queue = Queue()
mq = RabbitMQ(app, queue)
from app import demo<|fim_prefix|># repo: pushyzheng/flask-rabbitmq path: /example/producer/app/__init__.py
#encoding:utf-8
from flask import Flask
import config
from flask_rabbitmq import Queue, RabbitMQ
<|fim_middle|>app = Flask(__name__)
app.config.from_obje... | code_fim | easy | {
"lang": "python",
"repo": "pushyzheng/flask-rabbitmq",
"path": "/example/producer/app/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PMiskew/Year9DesignCS4-PythonPM path: /DWITE Code/DwiteHarshadNumbersPM.py
#This program is a nice example of a core algorithm
#Remove Individual Digits
# To remove individual digits you use two operations
# 1 MOD:
# mod return the remainder after division. 5%2 = 1.
# If we mod by 10 we get th... | code_fim | hard | {
"lang": "python",
"repo": "PMiskew/Year9DesignCS4-PythonPM",
"path": "/DWITE Code/DwiteHarshadNumbersPM.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>f = open("DwiteHarshadNumbersData.txt", "r")
#Python short cut which loops as long as there is a new line in the file
for line in f:
l = f.readline()
h = f.readline()
findHarshad(l,h)
f.close()<|fim_prefix|># repo: PMiskew/Year9DesignCS4-PythonPM path: /DWITE Code/DwiteHarshadNumbersPM.py
#This progr... | code_fim | hard | {
"lang": "python",
"repo": "PMiskew/Year9DesignCS4-PythonPM",
"path": "/DWITE Code/DwiteHarshadNumbersPM.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ttings.MAX_CHARS, required=False, widget=forms.Textarea(attrs={'rows': 10, 'cols': 80, 'onKeyDown':'return setTimeout(remainingChars('+str(settings.MAX_CHARS)+'), 100);'}))<|fim_prefix|># repo: andrewmil/FeedbackDjango path: /feedback/forms.py
from django import forms
from django.conf import settings
cl... | code_fim | medium | {
"lang": "python",
"repo": "andrewmil/FeedbackDjango",
"path": "/feedback/forms.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andrewmil/FeedbackDjango path: /feedback/forms.py
from django import forms
from django.conf import settings
class SurveyFeedback(forms.Form):
CHOICES = [('Very Satisfied', 'Very Satisfied'), ('Satisfied', 'Satisfied'), ('Neither', 'Neither'), ('Dissatisfied', 'Dissatisfied'), ('Very Dissatis... | code_fim | medium | {
"lang": "python",
"repo": "andrewmil/FeedbackDjango",
"path": "/feedback/forms.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('registered_user', '0005_auto_20201029_1710'),
]
operations = [
migrations.AlterField(
model_name='user_details',
name='dateofbirth',
field=models.DateField(null=True),
),
]<|fim_prefix|># repo: Mpanshuman/matri... | code_fim | easy | {
"lang": "python",
"repo": "Mpanshuman/matrimony",
"path": "/registered_user/migrations/0006_auto_20201029_1926.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Mpanshuman/matrimony path: /registered_user/migrations/0006_auto_20201029_1926.py
# Generated by Django 3.1.1 on 2020-10-29 13:56
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='user_details',
name='dateofbirth',
field=models.DateFi... | code_fim | medium | {
"lang": "python",
"repo": "Mpanshuman/matrimony",
"path": "/registered_user/migrations/0006_auto_20201029_1926.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: apurv1205/fastFood path: /scripts/t.py
import csv
import json,os
mylist=[]
clist=["Nort<|fim_suffix|>can","South Indian"]
for filename in os.listdir("/home/asket/Desktop/DBMS/menu"):
print(filename)<|fim_middle|>h Indian","Italian","Continental","Chinese","Mexi | code_fim | easy | {
"lang": "python",
"repo": "apurv1205/fastFood",
"path": "/scripts/t.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: apurv1205/fastFood path: /scripts/t.py
import csv
import json,os
mylist=[]
clist=["North Indian","Italian","Continental","Chinese","Mexi<|fim_suffix|>/home/asket/Desktop/DBMS/menu"):
print(filename)<|fim_middle|>can","South Indian"]
for filename in os.listdir(" | code_fim | easy | {
"lang": "python",
"repo": "apurv1205/fastFood",
"path": "/scripts/t.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>can","South Indian"]
for filename in os.listdir("/home/asket/Desktop/DBMS/menu"):
print(filename)<|fim_prefix|># repo: apurv1205/fastFood path: /scripts/t.py
import csv
import json,os
mylist=[]
clist=["Nort<|fim_middle|>h Indian","Italian","Continental","Chinese","Mexi | code_fim | easy | {
"lang": "python",
"repo": "apurv1205/fastFood",
"path": "/scripts/t.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: circuits/circuits path: /tests/web/test_unicode.py
#!/usr/bin/env python
from http.client import HTTPConnection
import pytest
from circuits.web import Controller
from circuits.web.client import Client, request
from .helpers import urlopen
class Root(Controller):
def index(self):
... | code_fim | hard | {
"lang": "python",
"repo": "circuits/circuits",
"path": "/tests/web/test_unicode.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_response_headers(webapp):
client = Client()
client.start()
client.fire(
request(
"GET",
"http://%s:%s/response_headers" % (
webapp.server.host, webapp.server.port,
),
),
)
while client.response is None:
... | code_fim | hard | {
"lang": "python",
"repo": "circuits/circuits",
"path": "/tests/web/test_unicode.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = 'arg=%E2%86%92'
connection.request("POST", "/argument", data, {"Content-type": "application/x-www-form-urlencoded"})
response = connection.getresponse()
assert response.status == 200
assert response.reason == "OK"
s = response.read()
assert s.decode('utf-8') == '\u2192'
... | code_fim | hard | {
"lang": "python",
"repo": "circuits/circuits",
"path": "/tests/web/test_unicode.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.test_asset.get_absolute_url()<|fim_prefix|># repo: ikang9712/Mayan-EDMS path: /mayan/apps/converter/tests/test_asset_models.py
from mayan.apps.testing.tests.base import BaseTestCase
from .mixins import AssetTestMixin
class AssetModelTestCase(
AssetTestMixin, BaseTestCase
):
def te... | code_fim | easy | {
"lang": "python",
"repo": "ikang9712/Mayan-EDMS",
"path": "/mayan/apps/converter/tests/test_asset_models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class AssetModelTestCase(
AssetTestMixin, BaseTestCase
):
def test_asset_get_absolute_url_method(self):
self._create_test_asset()
self.test_asset.get_absolute_url()<|fim_prefix|># repo: ikang9712/Mayan-EDMS path: /mayan/apps/converter/tests/test_asset_models.py
from mayan.apps.t... | code_fim | easy | {
"lang": "python",
"repo": "ikang9712/Mayan-EDMS",
"path": "/mayan/apps/converter/tests/test_asset_models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ikang9712/Mayan-EDMS path: /mayan/apps/converter/tests/test_asset_models.py
from mayan.apps.testing.tests.base import BaseTestCase
from .mixins import AssetTestMixin
<|fim_suffix|> self.test_asset.get_absolute_url()<|fim_middle|>
class AssetModelTestCase(
AssetTestMixin, BaseTestCase... | code_fim | medium | {
"lang": "python",
"repo": "ikang9712/Mayan-EDMS",
"path": "/mayan/apps/converter/tests/test_asset_models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
try:
instance_id = sys.argv[1]
except IndexError:
sys.exit('Specify an instance_id')
# Print some info
print('Initial Auth Info:')
for authtype, params in utils.initial_auth_info(ks.auth.client.session):
print(' %s' % authtype)
... | code_fim | medium | {
"lang": "python",
"repo": "kamidzi/openstack-policy",
"path": "/policy/tasks/user_tasks/delete_vm.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kamidzi/openstack-policy path: /policy/tasks/user_tasks/delete_vm.py
#!/usr/bin/env python
from ks_auth import sess
from ks_auth import trust_auth
from ks_auth import ks
from ks_auth import utils
from novaclient import client
import novaclient.exceptions
from time import sleep
from uuid import uu... | code_fim | hard | {
"lang": "python",
"repo": "kamidzi/openstack-policy",
"path": "/policy/tasks/user_tasks/delete_vm.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LichUnHappy/Real-time-Anomaly-Detection path: /D4/main.py
from fastapi import FastAPI
from pydantic import BaseModel
from typing import List, Optional
from joblib import load
app = FastAPI()
clf = load("model.joblib")
<|fim_suffix|> feature_vector: List[float]
score: Optional[bool] = Fal... | code_fim | medium | {
"lang": "python",
"repo": "LichUnHappy/Real-time-Anomaly-Detection",
"path": "/D4/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> prediction = clf.predict([req.feature_vector])
response = {"is_inlier": int(prediction[0])}
score = clf.score_samples([req.feature_vector])
response["anomaly_score"] = score[0]
return response
@app.get("/model_infomation")
def model_infomation():
return clf.get_params()
if __nam... | code_fim | medium | {
"lang": "python",
"repo": "LichUnHappy/Real-time-Anomaly-Detection",
"path": "/D4/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: taohu88/algorithms path: /test_counter/test_counter2.py
from collections import Counter
# Complete the isValid function below.
def isValid(s):
if not s:
return True
<|fim_suffix|>
if __name__ == '__main__':
s = "ibfdgaeadiaefgbhbdghhhbgdfgeiccbi"
r = isValid(s)
print(r)... | code_fim | hard | {
"lang": "python",
"repo": "taohu88/algorithms",
"path": "/test_counter/test_counter2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> x = Counter(s)
print(x)
first_c = x.pop(s[0])
cnt = 0
for k, c in x.items():
if c != first_c:
if first_c == 1:
cnt += 1
first_c = c
else:
cnt += abs(c - first_c) if c != 1 else 1
if cnt >= 2:
... | code_fim | medium | {
"lang": "python",
"repo": "taohu88/algorithms",
"path": "/test_counter/test_counter2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>_scripts': [
'nh-install-node = nodepool_harness.scripts:install_node',
]
}
)<|fim_prefix|># repo: citrix-openstack/nodepool-harness path: /setup.py
from setuptools import setup
setup(
name='nodepool_harness',
version='0.1dev',
descrip<|fim_middle|>tion='Nodepool har... | code_fim | hard | {
"lang": "python",
"repo": "citrix-openstack/nodepool-harness",
"path": "/setup.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: citrix-openstack/nodepool-harness path: /setup.py
from setuptools import setup
setup(
name='nodepool_harness',
version='0.1dev',
descrip<|fim_suffix|>ires=["PyYAML", "python-novaclient", "paramiko", "sqlalchemy"],
entry_points = {
'console_scripts': [
'nh-ins... | code_fim | medium | {
"lang": "python",
"repo": "citrix-openstack/nodepool-harness",
"path": "/setup.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: atsnova/Python-Crash-Course path: /Chap_7.4.py
#def pizzaTopping():
message1 = "What Pizza do you want?"
message = "What type of Pizza topping do you want?"
message += "\n Enter 'quit' to stop entering toppings"
pizzas = {}
while True:
pizza = input(message1)
topping = input(message... | code_fim | medium | {
"lang": "python",
"repo": "atsnova/Python-Crash-Course",
"path": "/Chap_7.4.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#return toppings
#print(pizzaTopping())
#print('We will add the following toppings: ' + str(toppings))
print(pizzas)<|fim_prefix|># repo: atsnova/Python-Crash-Course path: /Chap_7.4.py
#def pizzaTopping():
message1 = "What Pizza do you want?"
message = "What type of Pizza topping do you want?"
message +=... | code_fim | hard | {
"lang": "python",
"repo": "atsnova/Python-Crash-Course",
"path": "/Chap_7.4.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
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