text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>and one dictionary:
# Import only the person1 dictionary from the module:
from mymodule import person1
print(person1["age"])<|fim_prefix|># repo: VaishnaviReddyGuddeti/Python_programs path: /Python_Modules/ImportFromModule.py
# You can choose to import only parts from a module, by using <|fim_middle|>t... | code_fim | medium | {
"lang": "python",
"repo": "VaishnaviReddyGuddeti/Python_programs",
"path": "/Python_Modules/ImportFromModule.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: biznixcn/WR path: /apps/googlemaps_localities/models.py
ities.utils import get_redis_connection
from common.utils.debug import writelog
from rest.utils import render_as_json
class GoogleMapsAddressComponent(models.Model):
"""
Implements a Google Maps component address object
"""
... | code_fim | hard | {
"lang": "python",
"repo": "biznixcn/WR",
"path": "/apps/googlemaps_localities/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: biznixcn/WR path: /apps/googlemaps_localities/models.py
o.core.exceptions import MultipleObjectsReturned
from googlemaps_localities import settings as localities_settings
from googlemaps_localities import strings, constants
from googlemaps_localities.utils import get_redis_connection
from common.... | code_fim | hard | {
"lang": "python",
"repo": "biznixcn/WR",
"path": "/apps/googlemaps_localities/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
def stack_components(components):
first = None
current = None
for c in components:
if first is None:
first = c
current = first
continue
else:
current['parent'] = c
... | code_fim | hard | {
"lang": "python",
"repo": "biznixcn/WR",
"path": "/apps/googlemaps_localities/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Juniorexz/ExerciciosPython path: /Calculobasealtura.py
#Faça um programa que peça a base
#e a altura de um retângulo e calcule
#e mostre na tela a área e o perímetro.
<|fim_suffix|>print(f'O retângulo digitado tem base {base} e altura {altura}.')
print(f'A área deste retângulo é: {area}')
print... | code_fim | medium | {
"lang": "python",
"repo": "Juniorexz/ExerciciosPython",
"path": "/Calculobasealtura.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(f'O retângulo digitado tem base {base} e altura {altura}.')
print(f'A área deste retângulo é: {area}')
print(f'O perímetro deste retângulo é: {perimetro}')<|fim_prefix|># repo: Juniorexz/ExerciciosPython path: /Calculobasealtura.py
#Faça um programa que peça a base
#e a altura de um retângulo e cal... | code_fim | easy | {
"lang": "python",
"repo": "Juniorexz/ExerciciosPython",
"path": "/Calculobasealtura.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>EB.py', 1), ('WilbRLW3.py', 1), ('MereHHB2.py', 1)]<|fim_prefix|># repo: psdh/WhatsintheVector path: /indices/extrins.py
ii = [('LyelCPG2.py', 2), ('MarrFDI.py', 1), ('God<|fim_middle|>wWSL2.py', 1), ('CookGHP.py', 1), ('ChalTPW2.py', 1), ('LyelCPG.py', 2), ('DibdTRL2.py', 2), ('WadeJ | code_fim | medium | {
"lang": "python",
"repo": "psdh/WhatsintheVector",
"path": "/indices/extrins.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: psdh/WhatsintheVector path: /indices/extrins.py
ii = [('LyelCPG2.py', 2), ('MarrFDI.py', 1), ('GodwWSL2.py', 1), ('CookGHP.py', 1), ('ChalTPW2.py', <|fim_suffix|>EB.py', 1), ('WilbRLW3.py', 1), ('MereHHB2.py', 1)]<|fim_middle|>1), ('LyelCPG.py', 2), ('DibdTRL2.py', 2), ('WadeJ | code_fim | easy | {
"lang": "python",
"repo": "psdh/WhatsintheVector",
"path": "/indices/extrins.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jordanmslack/jordanslack.com path: /app/__init__.py
import os
from flask import Flask
from dotenv import load_dotenv
def create_app():
<|fim_suffix|> app.config['CSRF_SESSION_KEY'] = os.environ.get('CSRF_SESSION_KEY')
app.config['SECRET_KEY'] = os.environ.get('SECRET_KEY')
from app... | code_fim | medium | {
"lang": "python",
"repo": "jordanmslack/jordanslack.com",
"path": "/app/__init__.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dotenv_path = os.path.join(os.path.dirname(__file__), '..', '.env')
load_dotenv(dotenv_path)
app = Flask(__name__, template_folder='templates')
app.config['CSRF_SESSION_KEY'] = os.environ.get('CSRF_SESSION_KEY')
app.config['SECRET_KEY'] = os.environ.get('SECRET_KEY')
from app.c... | code_fim | easy | {
"lang": "python",
"repo": "jordanmslack/jordanslack.com",
"path": "/app/__init__.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JeonJaewon/2019_JGP2_LISEO path: /mypage.py
#-*- coding: utf-8 -*-
import os
import time
import textManager
import rule
#import main #import main이라고 써놔서 main.py에서 여기로 넘어올떄 충돌생기는것 같아서 주석처리했습니다. ( by 계)
def printStudentinfo(code):
#학생정보출력
os.system('cls')
print("=" * 18, end... | code_fim | hard | {
"lang": "python",
"repo": "JeonJaewon/2019_JGP2_LISEO",
"path": "/mypage.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if choice == '입력 실패':
print("데이터 값을 입력해 주세요.")
time.sleep(2)
os.system('cls')
continue
elif rule.numberRule(choice)==0: #숫자입력규칙 적용, import main 주석처리해서 __import__로 즉석해서 import함
time.sleep(2)
os.system('cls')
... | code_fim | hard | {
"lang": "python",
"repo": "JeonJaewon/2019_JGP2_LISEO",
"path": "/mypage.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cpoenisch/cicd-voting path: /app/urls.py
from django.urls import path
from . import views
<|fim_suffix|>urlpatterns = [
# "/app"
path('', views.index, name='index'),
path('<int:question_id>/', views.detail, name='detail'),
path('<int:question_id>/results/', views.results, name='r... | code_fim | easy | {
"lang": "python",
"repo": "cpoenisch/cicd-voting",
"path": "/app/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>urlpatterns = [
# "/app"
path('', views.index, name='index'),
path('<int:question_id>/', views.detail, name='detail'),
path('<int:question_id>/results/', views.results, name='results'),
path('<int:question_id>/favorite/', views.favorite, name='favorite')
]<|fim_prefix|># repo: cpoenisc... | code_fim | easy | {
"lang": "python",
"repo": "cpoenisch/cicd-voting",
"path": "/app/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gabriel376/exercism path: /python/raindrops/raindrops.py
def raindrops(number):
drops = {
3: 'Pling',
5: 'Plang',
7: 'Plong',
}
<|fim_suffix|> return ''.join(sound) or str(number)<|fim_middle|> sound = [drops[n] for n in drops if number % n == 0]
| code_fim | easy | {
"lang": "python",
"repo": "gabriel376/exercism",
"path": "/python/raindrops/raindrops.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> sound = [drops[n] for n in drops if number % n == 0]
return ''.join(sound) or str(number)<|fim_prefix|># repo: gabriel376/exercism path: /python/raindrops/raindrops.py
def raindrops(number):
<|fim_middle|> drops = {
3: 'Pling',
5: 'Plang',
7: 'Plong',
}
| code_fim | medium | {
"lang": "python",
"repo": "gabriel376/exercism",
"path": "/python/raindrops/raindrops.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gabriel376/exercism path: /python/raindrops/raindrops.py
def raindrops(number):
<|fim_suffix|> return ''.join(sound) or str(number)<|fim_middle|> drops = {
3: 'Pling',
5: 'Plang',
7: 'Plong',
}
sound = [drops[n] for n in drops if number % n == 0]
| code_fim | medium | {
"lang": "python",
"repo": "gabriel376/exercism",
"path": "/python/raindrops/raindrops.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>,-1,-1):
for j in range(size-2,-1,-1):
depmin=min(dep[i+1][j],dep[i][j+1])
dep[i][j]=max(1,depmin-list1[i][j])
print(dep[0][0])<|fim_prefix|># repo: AdamZhouSE/pythonHomework path: /Code/CodeRecords/2566/60720/282221.py
size=int(input())
list1=[]
for i in range(size):
lis0=input()... | code_fim | medium | {
"lang": "python",
"repo": "AdamZhouSE/pythonHomework",
"path": "/Code/CodeRecords/2566/60720/282221.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AdamZhouSE/pythonHomework path: /Code/CodeRecords/2566/60720/282221.py
size=int(input())
list1=[]
for i in range(size):
lis0=input().split(',')
lis0=[int(x) for x in lis0]
list1.append(lis0)
dep=[[0 for i in range(size)] for j in range(size)]
dep[size-1][size-1]=max(1,1-list1[size-1][... | code_fim | medium | {
"lang": "python",
"repo": "AdamZhouSE/pythonHomework",
"path": "/Code/CodeRecords/2566/60720/282221.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Gamboua/challenge_labs path: /src/conftest.py
import asyncio
import datetime
import pytest
from aiocache import caches
from django.utils import timezone
from jose import jwt
from model_mommy import mommy
from simple_settings import settings
from challenge import app as _app
from challenge.appli... | code_fim | hard | {
"lang": "python",
"repo": "Gamboua/challenge_labs",
"path": "/src/conftest.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@pytest.fixture
def catalog_response(product_id):
return {
'price': 55.9,
'image': 'http://challenge-api.luizalabs.com/b.jpg',
'brand': 'tramontina',
'id': product_id,
'title': 'Jogo de Inox para Torta Copacabana 7 Peças'
}<|fim_prefix|># repo: Gamboua/chal... | code_fim | hard | {
"lang": "python",
"repo": "Gamboua/challenge_labs",
"path": "/src/conftest.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: flagship-open/flagship-multimodal_emotion_age_gender_recognition path: /module/preprocessing/pp_flask.py
import os
import tensorflow as tf
os.environ["CUDA_VISIBLE_DEVICES"]= "0"
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
sess= tf.Session(config=config)
from inference impo... | code_fim | hard | {
"lang": "python",
"repo": "flagship-open/flagship-multimodal_emotion_age_gender_recognition",
"path": "/module/preprocessing/pp_flask.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>app = Flask(__name__)
graph = tf.get_default_graph()
init_time = time.time()
@app.route('/', methods=['POST', 'GET'])
def video_preprocessing():
global graph
with graph.as_default():
input_video = request.form['input_path']
num_second = request.form['num_second']
output_p... | code_fim | medium | {
"lang": "python",
"repo": "flagship-open/flagship-multimodal_emotion_age_gender_recognition",
"path": "/module/preprocessing/pp_flask.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ab8266339/MLH_prime path: /review_to_vector/miscellaneous.py
import re
import numpy as np
class Miscellaneous(object):
@staticmethod
def ConvertStrToBagOfWords(reg, reg_exclude, document_in_a_sentence):
# find all words match regular expression
document_word_list = ... | code_fim | medium | {
"lang": "python",
"repo": "ab8266339/MLH_prime",
"path": "/review_to_vector/miscellaneous.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> sorted_value_list = [word_dict[x] for x in sorted(word_dict)]
word_array = np.array([sorted_value_list])
return word_array<|fim_prefix|># repo: ab8266339/MLH_prime path: /review_to_vector/miscellaneous.py
import re
import numpy as np
class Miscellaneous(object):
@staticm... | code_fim | hard | {
"lang": "python",
"repo": "ab8266339/MLH_prime",
"path": "/review_to_vector/miscellaneous.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cceh/m-salt-api path: /server/server.py
#!/usr/bin/python3
# -*- encoding: utf-8 -*-
"""An API for the Critical Pāli Dictionary"""
import argparse
import configparser
import datetime
import json
import logging
import os.path
import re
import flask
from flask import request, current_app
import ... | code_fim | hard | {
"lang": "python",
"repo": "cceh/m-salt-api",
"path": "/server/server.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> res = []
for row in reversed (res1.fetchall ()):
res.append (row[:3])
for row in res2:
res.append (row[:3])
return make_headwords_response (res, limit)
def make_article (row, lang = LANG):
""" row is: article_id """
return {
'arti... | code_fim | hard | {
"lang": "python",
"repo": "cceh/m-salt-api",
"path": "/server/server.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bruceakerseattle/Dat1ClassProject path: /code/weather_stn_data.py
# weather_stn_data.py - Used by extract_numbers.py, get_info_from_mshr.py, get_past_observations_cdo.py, get_daily_normals_cdo.py
# Location of each of the following numbers in the image corresponds to a city (or weather station... | code_fim | hard | {
"lang": "python",
"repo": "bruceakerseattle/Dat1ClassProject",
"path": "/code/weather_stn_data.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>':'Yellowstone Lake'},
{'icao_code':'KPDX','row':513,'col':101,'stn_id_cdo':'GHCND:USW00024229','state':'OR','weather_station':'Portland International Airport'},
{'icao_code':'KPHX','row':249,'col':206,'stn_id_cdo':'GHCND:USW00023183','state':'AZ','weather_station':'Phoenix Sky Harbor International Airp... | code_fim | hard | {
"lang": "python",
"repo": "bruceakerseattle/Dat1ClassProject",
"path": "/code/weather_stn_data.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: liu311/PriorNetworks-OLD path: /prior_networks/dirichlet/data_processing/step_process_omniglot.py
#!/usr/bin/python
import argparse
import os
import sys
import matplotlib
#matplotlib.use('agg')
from matplotlib import pyplot as plt
from PIL import Image
import numpy as np
import tensorflow as t... | code_fim | hard | {
"lang": "python",
"repo": "liu311/PriorNetworks-OLD",
"path": "/prior_networks/dirichlet/data_processing/step_process_omniglot.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> imResize=np.reshape(imResize, (args.size*args.size))
imResize_raw = imResize.tostring()
example = tf.train.Example(features=tf.train.Features(feature={
'height': tfrecord_utils.int64_feature([args.size]),
'width': tfre... | code_fim | hard | {
"lang": "python",
"repo": "liu311/PriorNetworks-OLD",
"path": "/prior_networks/dirichlet/data_processing/step_process_omniglot.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jakudapi/aoc2016 path: /day09-1.py
"""--- Day 9: Explosives in Cyberspace ---
Wandering around a secure area, you come across a datalink port to a new part of the network. After briefly scanning it for interesting files, you find one file in particular that catches your attention. It's compressed... | code_fim | hard | {
"lang": "python",
"repo": "jakudapi/aoc2016",
"path": "/day09-1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> decompressed += compressed[index:index + int(chars_repeat[0])] * int(chars_repeat[1])
index += int(chars_repeat[0]) # set index now after the substring that was repeated
print(len(decompressed))
else: # end of file
decompressed += compressed[index:]
break
end = time()... | code_fim | hard | {
"lang": "python",
"repo": "jakudapi/aoc2016",
"path": "/day09-1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Sapphirine/Santander-Customer-Satisfaction path: /pca_features.py
import numpy as np
import pandas as pd
from scipy.stats.stats import pearsonr
np.random.seed(12324)
from sklearn.cross_validation import StratifiedKFold
from sklearn.decomposition import PCA
from sklearn.preprocessing import normal... | code_fim | medium | {
"lang": "python",
"repo": "Sapphirine/Santander-Customer-Satisfaction",
"path": "/pca_features.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>train, test = process_base(train, test)
train, test = drop_sparse(train, test)
train, test = drop_duplicated(train, test)
train, test = add_features(train, test, ['SumZeros'])
flist = [x for x in train.columns if not x in ['ID','TARGET']]
pca = PCA(n_components=2)
x_train_projected = pca.fit_transform(n... | code_fim | medium | {
"lang": "python",
"repo": "Sapphirine/Santander-Customer-Satisfaction",
"path": "/pca_features.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for _ in range(t):
arr = list(map(int, input().split(" ")))
a, b = arr[0], arr[1]
if a > b:
b *= 2
else:
a *= 2
if a > b:
result = a * a
else:
result = b * b
print(result)<|fim_prefix|># repo: Tconan99/Codeforces path: /ac/Codeforces 1360A - Min... | code_fim | medium | {
"lang": "python",
"repo": "Tconan99/Codeforces",
"path": "/ac/Codeforces 1360A - Minimal Square.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Tconan99/Codeforces path: /ac/Codeforces 1360A - Minimal Square.py
# https://codeforces.com/problemset/problem/1360/A
import sys
import os
import heapq
try:
path = "./file/input.txt"
if os.path.exists(path):
sys.stdin = open(path, 'r')
# sys.stdout = open(r"./file/output.txt... | code_fim | medium | {
"lang": "python",
"repo": "Tconan99/Codeforces",
"path": "/ac/Codeforces 1360A - Minimal Square.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> tags = Tag.objects.filter(application_id=app_id)
for tag in tags:
sync_by_tag(app_id, tag.name, token, count, is_show)<|fim_prefix|># repo: softformance/django-instagram-photo-api path: /django_instagram_photo_api/management/commands/sync_by_app.py
from django.core... | code_fim | hard | {
"lang": "python",
"repo": "softformance/django-instagram-photo-api",
"path": "/django_instagram_photo_api/management/commands/sync_by_app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def eye_open(image):
landmarks = get_landmarks(image)
if landmarks == "error":
return image,0,0
image_with_landmarks = annotate_landmarks(image,landmarks)
left_ear = left_eye(landmarks)
#print(top_lip_center)
right_ear = right_eye(landmarks)
#print(left_ear)
#print(right_ear)
... | code_fim | hard | {
"lang": "python",
"repo": "dungeongod/AngelHacks2018",
"path": "/eye_blink.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dungeongod/AngelHacks2018 path: /eye_blink.py
import cv2
import dlib
import numpy as np
from scipy.spatial import distance as dist
PREDICTOR_PATH = "shape_predictor_68_face_landmarks.dat"
predictor = dlib.shape_predictor(PREDICTOR_PATH)
detector = dlib.get_frontal_face_detector()
"""
... | code_fim | hard | {
"lang": "python",
"repo": "dungeongod/AngelHacks2018",
"path": "/eye_blink.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># %%
part_words_set = set(part_words)
print(len(part_words_set))
# %%
import numpy as np
# 将正常邮件与垃圾邮件的单词都整理为句子，单词间以空格相隔，CountVectorizer()的句子里，单词是以空格分隔的
train_part_texts = [' '.join(text) for text in np.concatenate((spam_train_part.values, ham_train_part.values))]
# 训练集所有的单词整理成句子
train_all_texts = [' '.j... | code_fim | hard | {
"lang": "python",
"repo": "zippermonkey/MachineLearning",
"path": "/spam_ham/spam.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zippermonkey/MachineLearning path: /spam_ham/spam.py
# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %%
import pandas as pd
# %%
data = pd.read_csv('spam_ham_dataset.csv')
data = data.iloc[:,2:]
# ham/0 spam/1
# %%
data.head(5)
# %%
import matplotlib... | code_fim | hard | {
"lang": "python",
"repo": "zippermonkey/MachineLearning",
"path": "/spam_ham/spam.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
def top_3_longest(db, first_letter):
pass<|fim_prefix|># repo: pierrevermeulen/data-challenges-v2 path: /01-Python/04-SQL-Advanced/03-Rank-And-Partition/query.py
# pylint:disable=C0111,C0103
def movie_duration_buckets(db):
<|fim_middle|> pass
def longest_movies_by_director(db, first_... | code_fim | medium | {
"lang": "python",
"repo": "pierrevermeulen/data-challenges-v2",
"path": "/01-Python/04-SQL-Advanced/03-Rank-And-Partition/query.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pierrevermeulen/data-challenges-v2 path: /01-Python/04-SQL-Advanced/03-Rank-And-Partition/query.py
# pylint:disable=C0111,C0103
def movie_duration_buckets(db):
pass
<|fim_suffix|>
def top_3_longest(db, first_letter):
pass<|fim_middle|>
def longest_movies_by_director(db, first_letter):
... | code_fim | medium | {
"lang": "python",
"repo": "pierrevermeulen/data-challenges-v2",
"path": "/01-Python/04-SQL-Advanced/03-Rank-And-Partition/query.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shivampip/ItsBoring path: /app/player.py
import tkinter as tk
from pynput import mouse
from pynput import keyboard
from pynput.mouse import Button, Controller
from pynput.keyboard import Key, Controller as KeyController
import time
import pickle
root= tk.Tk()
root.title("Its Boring Player")
####... | code_fim | hard | {
"lang": "python",
"repo": "shivampip/ItsBoring",
"path": "/app/player.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def play(data, mouse, keyc):
global live
for dd in data:
type= dd['type']
dur= dd['dur']/ float(speedx)
time.sleep(dur)
if(not live):
break
if(type=='mouse'):
x, y = dd['pos']
btn= dd['btn']
pressed= dd['pres... | code_fim | hard | {
"lang": "python",
"repo": "shivampip/ItsBoring",
"path": "/app/player.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abollaert/CSMM.101.x path: /project1/src/driver.py
#! /usr/bin/python2
from sys import argv
from math import sqrt
from Queue import Queue
from Queue import PriorityQueue
from time import time
import resource
class Statistics:
def __init__(self):
self.__nodes_expanded = 0
se... | code_fim | hard | {
"lang": "python",
"repo": "abollaert/CSMM.101.x",
"path": "/project1/src/driver.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def search(initial_state, next_state_function, frontier_add_function, is_frontier_empty, reverse):
start_time = time()
visited = set()
frontier = set()
statistics = Statistics()
frontier_add_function(initial_state)
frontier.add(hash(initial_state))
goal_state = None
whi... | code_fim | hard | {
"lang": "python",
"repo": "abollaert/CSMM.101.x",
"path": "/project1/src/driver.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> entry = self._cache.get(key)
if not entry or entry.age > self.ttl:
if entry:
del self._cache[key]
return None
return entry.data
def set(self, key, data):
self._cache[key] = self.Entry(datetime.datetime.now().timestamp(), data)
... | code_fim | hard | {
"lang": "python",
"repo": "DrJackilD/kube_weather",
"path": "/server/weather_api/cache.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DrJackilD/kube_weather path: /server/weather_api/cache.py
import datetime
import typing as t
from dataclasses import dataclass
class InMemoryCache:
default_ttl = 600
@dataclass
class Entry:
ts: float
data: dict
<|fim_suffix|> def get(self, key):
entry = ... | code_fim | hard | {
"lang": "python",
"repo": "DrJackilD/kube_weather",
"path": "/server/weather_api/cache.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._cache[key] = self.Entry(datetime.datetime.now().timestamp(), data)
def get_cache():
return InMemoryCache()<|fim_prefix|># repo: DrJackilD/kube_weather path: /server/weather_api/cache.py
import datetime
import typing as t
from dataclasses import dataclass
class InMemoryCache:
def... | code_fim | medium | {
"lang": "python",
"repo": "DrJackilD/kube_weather",
"path": "/server/weather_api/cache.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pulumi/pulumi-alicloud path: /sdk/python/pulumi_alicloud/eflo/outputs.py
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import copy
import warnings
import pulu... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-alicloud",
"path": "/sdk/python/pulumi_alicloud/eflo/outputs.py",
"mode": "psm",
"license": "MPL-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
@pulumi.getter(name="subnetName")
def subnet_name(self) -> str:
"""
The Subnet name.
"""
return pulumi.get(self, "subnet_name")
@property
@pulumi.getter
def type(self) -> str:
"""
Eflo subnet usage type, optional value:
... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-alicloud",
"path": "/sdk/python/pulumi_alicloud/eflo/outputs.py",
"mode": "spm",
"license": "MPL-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(ord('b'))
B = bytes([97, 98, 99]) # Integer iterable
print(B)
B = 'spam'.encode() # str.encode() (or bytes())
print(B)
S = B.decode() # bytes.decode() (or str())
print(S)
'''
From a functional perspective, the last two of t... | code_fim | hard | {
"lang": "python",
"repo": "bimri/learning-python",
"path": "/chapter_37/bytes-seq-operations.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>B = 'spam'.encode() # str.encode() (or bytes())
print(B)
S = B.decode() # bytes.decode() (or str())
print(S)
'''
From a functional perspective, the last two of these operations are really tools for
converting between str and bytes
'''<|fim_prefix|># r... | code_fim | hard | {
"lang": "python",
"repo": "bimri/learning-python",
"path": "/chapter_37/bytes-seq-operations.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bimri/learning-python path: /chapter_37/bytes-seq-operations.py
"Sequence Operations"
'''
Besides method calls, all the usual generic sequence operations from strings
and lists; work as expected on both str and bytes. Including indexing, slicing,
concatenation, and so on.
<|fim_suffix|>B = bytes... | code_fim | hard | {
"lang": "python",
"repo": "bimri/learning-python",
"path": "/chapter_37/bytes-seq-operations.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: raulrm75/CubIntHom path: /alexander_whitney.py
from chain_map import linear_extension
from cells import Simplex, CubicalCell
@linear_extension
def AW(cell):
<|fim_suffix|>
if __name__ == '__main__':
print(Simplex((0, 1, 2)).AW())<|fim_middle|> if isinstance(cell, Simplex):
return... | code_fim | hard | {
"lang": "python",
"repo": "raulrm75/CubIntHom",
"path": "/alexander_whitney.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if isinstance(cell, Simplex):
return cell.AW()
elif isinstance(cell, CubicalCell):
return cell.AW()
else:
raise NotImplementedError('Alexander-Whitney diagonal approximation is only defined'
' for simplices or cubical cells.')
if __na... | code_fim | easy | {
"lang": "python",
"repo": "raulrm75/CubIntHom",
"path": "/alexander_whitney.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andrthu/mek4250 path: /adjoint/outputDir/latexTables/append_tables.py
import sys
def append_tables(append_file, table_file):
a_file = open(append_file,'a')
t_file = open(table_file,'r')
a_file.write('\\\\ \n')
a_file.write('''\\\\ \n''')
name_split = table_file[:-4].split('... | code_fim | medium | {
"lang": "python",
"repo": "andrthu/mek4250",
"path": "/adjoint/outputDir/latexTables/append_tables.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
t_file.close()
a_file.close()
def main():
try:
a_file = sys.argv[1]
files = sys.argv[2:]
except:
print 'input plz'
return
for f in files:
append_tables(a_file,f)
if __name__ == '__main__':
main()<|fim_prefix|># repo: andrthu/mek42... | code_fim | hard | {
"lang": "python",
"repo": "andrthu/mek4250",
"path": "/adjoint/outputDir/latexTables/append_tables.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ahmad-Ihsan/nikkei path: /insert_days.py
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 27 15:05:40 2019
@author: lenovo
"""
from sql.connect import DBConnection
<|fim_suffix|>db = DBConnection()
conn = db.connection()
c = conn.cursor()
#for i in range(len(morning_cat_id)):
# ... | code_fim | medium | {
"lang": "python",
"repo": "Ahmad-Ihsan/nikkei",
"path": "/insert_days.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#for i in range(len(morning_cat_id)):
# c.execute("insert into categories (category_id, category_name, version) values(?, ?, ?)", (morning_cat_id[i], morning_categories[i], 'M'))
# conn.commit()
#conn.close()
for i in range(len(day_id)):
c.execute("insert into days (day_id, day_kanji, day... | code_fim | hard | {
"lang": "python",
"repo": "Ahmad-Ihsan/nikkei",
"path": "/insert_days.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> import time
time.sleep(3)
self.callback('DONE')
class ThreadHandler(BaseHandler):
@asynchronous
def get(self):
self.printblah()
Worker(self.worker_done).start()
def worker_done(self, value):
self.finish(value)<|fim_prefix|># repo: adampielak/ss... | code_fim | medium | {
"lang": "python",
"repo": "adampielak/sslparty",
"path": "/app/handlers/thread.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def run(self):
import time
time.sleep(3)
self.callback('DONE')
class ThreadHandler(BaseHandler):
@asynchronous
def get(self):
self.printblah()
Worker(self.worker_done).start()
def worker_done(self, value):
self.finish(value)<|fim_prefix|># r... | code_fim | medium | {
"lang": "python",
"repo": "adampielak/sslparty",
"path": "/app/handlers/thread.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adampielak/sslparty path: /app/handlers/thread.py
from app.handlers.base import BaseHandler
from app.handlers.base import *
class Worker(threading.Thread):
def __init__(self, callback=None, *args, **kwargs):
super(Worker, self).__init__(*args, **kwargs)
self.callback = callba... | code_fim | medium | {
"lang": "python",
"repo": "adampielak/sslparty",
"path": "/app/handlers/thread.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AndrewLu1992/lintcodes path: /94_binary-tree-maximum-path-sum/binary-tree-maximum-path-sum.py
# coding:utf-8
'''
@Copyright:LintCode
@Author: hanqiao
@Problem: http://www.lintcode.com/problem/binary-tree-maximum-path-sum
@Language: Python
@Datetime: 16-05-19 03:43
'''
"""
Definition of TreeN... | code_fim | medium | {
"lang": "python",
"repo": "AndrewLu1992/lintcodes",
"path": "/94_binary-tree-maximum-path-sum/binary-tree-maximum-path-sum.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if root is None:
return -sys.maxint, 0
left = self.helper(root.left)
right = self.helper(root.right)
single = max(left[1]+root.val, right[1]+root.val, 0)
maxpath = max(left[0], right[0], left[1] + right[1] + root.val)
return maxpath, single... | code_fim | hard | {
"lang": "python",
"repo": "AndrewLu1992/lintcodes",
"path": "/94_binary-tree-maximum-path-sum/binary-tree-maximum-path-sum.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def getterRoots(self):
return self.roots
def setterRoots(self, value):
self.roots = value
# noinspection PyMethodMayBeStatic
def getDefaultRootsValue(self):
return dict(ROOTS_DEFAULT_VALUE)
def loadCfg(self):
# noinspection PyBroadException
tr... | code_fim | hard | {
"lang": "python",
"repo": "italic-r/maya-prefs",
"path": "/scripts/fxpt/fx_refsystem/roots_cfg_handler.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(self.roots) < 1:
self.roots = self.getDefaultRootsValue()
return
if '' not in self.roots:
self.roots = self.getDefaultRootsValue()
return
activeCount = len([v for v in self.roots.values() if v])
if activeCount == 1:
... | code_fim | hard | {
"lang": "python",
"repo": "italic-r/maya-prefs",
"path": "/scripts/fxpt/fx_refsystem/roots_cfg_handler.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: italic-r/maya-prefs path: /scripts/fxpt/fx_refsystem/roots_cfg_handler.py
import os
from fxpt.fx_prefsaver import prefsaver, serializers
from com import REF_ROOT_VAR_NAME
ROOTS_CFG_OPT_VAR = 'fx_refsystem_roots'
ROOTS_DEFAULT_VALUE = {'': True}
# noinspection PyAttributeOutsideInit
class Root... | code_fim | hard | {
"lang": "python",
"repo": "italic-r/maya-prefs",
"path": "/scripts/fxpt/fx_refsystem/roots_cfg_handler.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _get_existing_instance(self, related_model, value):
"""Retrieve the related object from an existing instance in the DB.
:param related_model: The related model to query
:param value: The serialized value to mapto an existing instance.
:raises NoResultFound: if ther... | code_fim | hard | {
"lang": "python",
"repo": "marshmallow-code/marshmallow-sqlalchemy",
"path": "/src/marshmallow_sqlalchemy/fields.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: marshmallow-code/marshmallow-sqlalchemy path: /src/marshmallow_sqlalchemy/fields.py
import warnings
from marshmallow import fields
from marshmallow.utils import is_iterable_but_not_string
from sqlalchemy import inspect
from sqlalchemy.orm.exc import NoResultFound
def get_primary_keys(model):
... | code_fim | hard | {
"lang": "python",
"repo": "marshmallow-code/marshmallow-sqlalchemy",
"path": "/src/marshmallow_sqlalchemy/fields.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> logging.basicConfig(
format="%(levelname)-6s %(message)-48s %(filename)s:%(lineno)d",
level=args.log.upper(),
)
bases = base_branches()
logging.debug(f"using base branches: {bases}")
if args.dry_run:
logging.info(f"switching to branch {bases[0]}")
lo... | code_fim | hard | {
"lang": "python",
"repo": "henrywallace/dotfiles",
"path": "/home/bin/gmp",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: henrywallace/dotfiles path: /home/bin/gmp
#!/usr/bin/env python3
# Switch to default branch, pull, and deleted already merged branches. Branches
# are considered already merged, if they contain no commits not already present
# on the default branch, recent release branches, or any custom base br... | code_fim | hard | {
"lang": "python",
"repo": "henrywallace/dotfiles",
"path": "/home/bin/gmp",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def move(self):
cur = self.postions[0]
x, y = self.direction
new = ((cur[0] + (x*GRID_SIZE) % WINDOW_WIDTH, (cur[1]+(y * GRID_SIZE) % WINDOW_HEIGHT))
if __name__=='__main__':
pygame.init()
window = pygame.display.set_mode((WINDOW_WIDTH, WINDOW_HEIGHT), 0, 32)
... | code_fim | hard | {
"lang": "python",
"repo": "sunho-park/Notebook",
"path": "/tfcert/creating_Game.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__=='__main__':
pygame.init()
window = pygame.display.set_mode((WINDOW_WIDTH, WINDOW_HEIGHT), 0, 32)
pygame.display.set_caption('Python Game')
surface = pygame.Surface(window.get_size())
surface = surface.convert()
surface.fill(WHITE)
clock = pygame.time.Clock()
p... | code_fim | hard | {
"lang": "python",
"repo": "sunho-park/Notebook",
"path": "/tfcert/creating_Game.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sunho-park/Notebook path: /tfcert/creating_Game.py
import pygame
import sys
import time
import random
from pygame.locals import *
WINDOW_WIDTH=800
WINDOW_HEIGHT=600
GRID_SIZE = 20
GRID_WIDTH = WINDOW_WIDTH / GRID_SIZE
GRID_HEIGHT = WINDOW_HEIGHT / GRID_SIZE
WHITE=(255, 255, 255)
GREEN = (0, 50... | code_fim | medium | {
"lang": "python",
"repo": "sunho-park/Notebook",
"path": "/tfcert/creating_Game.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: juliawiktoria/ros_project path: /scripts/odom_path.py
#!/usr/bin/python3
import rospy
from nav_msgs.msg import Path, Odometry
from geometry_msgs.msg import PoseStamped
<|fim_suffix|>
if __name__ == "__main__":
rospy.init_node("odompath")
path_odom = Path()
odom_subscriber = rospy.S... | code_fim | hard | {
"lang": "python",
"repo": "juliawiktoria/ros_project",
"path": "/scripts/odom_path.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
rospy.init_node("odompath")
path_odom = Path()
odom_subscriber = rospy.Subscriber('/odom', Odometry, odom_path)
odom_path_publisher = rospy.Publisher('/odompath', Path, queue_size=10)
rospy.spin()<|fim_prefix|># repo: juliawiktoria/ros_project path: /scripts... | code_fim | hard | {
"lang": "python",
"repo": "juliawiktoria/ros_project",
"path": "/scripts/odom_path.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shwetajoshi601/datacamp-deep-learning-in-python path: /2_optimizing_nn_backward_propagation/3_calculate_slope.py
import numpy as np
input_data = np.array([1,2,3])
weights = np.array([0, 2, 1])
target = 0
<|fim_suffix|># Calculate the slope: slope
slope = 2 * input_data * error
# Print the slop... | code_fim | medium | {
"lang": "python",
"repo": "shwetajoshi601/datacamp-deep-learning-in-python",
"path": "/2_optimizing_nn_backward_propagation/3_calculate_slope.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Calculate the error: error
error = preds - target
# Calculate the slope: slope
slope = 2 * input_data * error
# Print the slope
print(slope)<|fim_prefix|># repo: shwetajoshi601/datacamp-deep-learning-in-python path: /2_optimizing_nn_backward_propagation/3_calculate_slope.py
import numpy as np
input_... | code_fim | medium | {
"lang": "python",
"repo": "shwetajoshi601/datacamp-deep-learning-in-python",
"path": "/2_optimizing_nn_backward_propagation/3_calculate_slope.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: raj713335/Django path: /library_project_api/books/models.py
# books/models.py
from django.db import models
<|fim_suffix|>class Book(models.Model):
title=models.CharField(max_length=250)
subtitle=models.CharField(max_length=250)
author=models.CharField(max_length=100)
isbn=model... | code_fim | easy | {
"lang": "python",
"repo": "raj713335/Django",
"path": "/library_project_api/books/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __str__(self):
return self.title<|fim_prefix|># repo: raj713335/Django path: /library_project_api/books/models.py
# books/models.py
from django.db import models
# Create your models here.
<|fim_middle|>class Book(models.Model):
title=models.CharField(max_length=250)
subtitle=m... | code_fim | hard | {
"lang": "python",
"repo": "raj713335/Django",
"path": "/library_project_api/books/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
ADC = Pi_hat_adc()
def main():
raw_data=ADC.get_all_adc_raw_data()
vol_data=ADC.get_all_vol_milli_data()
ratio_data=ADC.get_all_ratio_0_1_data()
print("raw data for each channel:(1-8chan)(12 bit-max=4096):")
print(raw_data)
print("voltage for each channel:(unit:mv,max=3300mv):")
... | code_fim | hard | {
"lang": "python",
"repo": "Seeed-Studio/grove.py",
"path": "/grove/adc_8chan_12bit.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MiT-HEP/MonoX path: /monophoton/main/compareShapes.py
#!/usr/bin/env python
import sys
from argparse import ArgumentParser
argParser = ArgumentParser(description = 'Spit out plots showing shape variations.')
argParser.add_argument('input', metavar = 'PATH', help = 'Histogram ROOT file.')
argPa... | code_fim | hard | {
"lang": "python",
"repo": "MiT-HEP/MonoX",
"path": "/monophoton/main/compareShapes.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>lumi = 0.
for sName in monophConfig.obs.samples:
lumi += allsamples[sName.name].lumi
def getHist(name, syst = '', split = ''):
if syst:
path = variable + split + '/' + name + '_' + syst # /samples
else:
path = variable + split + '/' + name # /samples
print path
return... | code_fim | hard | {
"lang": "python",
"repo": "MiT-HEP/MonoX",
"path": "/monophoton/main/compareShapes.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if hist.Integral():
hist.Scale( 1. / hist.Integral() )
scanvas.legend.add(sample, title = sample, mcolor = colors[iS], lcolor = colors[iS], lwidth = 2)
scanvas.legend.apply(sample, hist)
sID = scanvas.addHistogram(hist, drawOpt = 'HIST')
print rID, sID
... | code_fim | hard | {
"lang": "python",
"repo": "MiT-HEP/MonoX",
"path": "/monophoton/main/compareShapes.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.RenameField(
model_name='change',
old_name='new_status',
new_name='current_status',
),
migrations.AlterField(
model_name='change',
name='old_status',
field=models.IntegerField(blan... | code_fim | medium | {
"lang": "python",
"repo": "juli212/kitchenin",
"path": "/items/migrations/0004_auto_20170518_1639.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def testRowColumns(self):
a = self.ali
self.assertEqual(a.rows[1].columns[4].id, a.columns[4][0].id)
self.assertEqual(a.rows[1].columns[4].column, a.columns[4][0].column)
self.assertEqual(a.rows[1].columns[4].residue.type, a.columns[4][0].residue.type)... | code_fim | hard | {
"lang": "python",
"repo": "dtklinh/Protein-Rigid-Domains-Estimation",
"path": "/venv/lib/python3.5/site-packages/csb/test/cases/bio/sequence/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertRaises(TypeError, lambda: a['', :])
self.assertRaises(TypeError, lambda: a[:, ''])
self.assertRaises(ValueError, lambda: a[[], :])
self.assertRaises(ValueError, lambda: a[:, []])
self.assertRaises(IndexError, lambda: a[-1:, :])
self.assertRaises... | code_fim | hard | {
"lang": "python",
"repo": "dtklinh/Protein-Rigid-Domains-Estimation",
"path": "/venv/lib/python3.5/site-packages/csb/test/cases/bio/sequence/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tharsus-ltd/protohype path: /tests/unit/test_schemas/base_pb2.py
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: base.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message ... | code_fim | medium | {
"lang": "python",
"repo": "tharsus-ltd/protohype",
"path": "/tests/unit/test_schemas/base_pb2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>Base = _reflection.GeneratedProtocolMessageType('Base', (_message.Message,), {
'DESCRIPTOR' : _BASE,
'__module__' : 'base_pb2'
# @@protoc_insertion_point(class_scope:ex.protos.Base)
})
_sym_db.RegisterMessage(Base)
# @@protoc_insertion_point(module_scope)<|fim_prefix|># repo: tharsus-ltd/protohy... | code_fim | hard | {
"lang": "python",
"repo": "tharsus-ltd/protohype",
"path": "/tests/unit/test_schemas/base_pb2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eddiewu6/LeetCode path: /80. Remove Duplicates from Sorted Array II.py
class Solution:
def removeDuplicates(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
count = 0
for n in nums:
if count < 2 or n > nums[count-2]:
... | code_fim | hard | {
"lang": "python",
"repo": "eddiewu6/LeetCode",
"path": "/80. Remove Duplicates from Sorted Array II.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if not nums:
return 0
count = 0
for i in range(1,len(nums)):
if nums[count] != nums[i] or (count>0 and nums[count] != nums[count-1]) or count==0:
count += 1
nums[count] = nums[i]
return count+1<|fim_prefix|>#... | code_fim | hard | {
"lang": "python",
"repo": "eddiewu6/LeetCode",
"path": "/80. Remove Duplicates from Sorted Array II.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> query_string_values['cache_ok'] = options['cache_ok'] if 'cache_ok' in options else self.cache_ok
query_string_values['full_render'] = options['full_render'] if 'full_render' in options else self.full_render
query_string_values['version'] = options['version'] if 'version' in opti... | code_fim | hard | {
"lang": "python",
"repo": "wbdana/opengraph-io-python",
"path": "/opengraphio/opengraphio.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(stack) != 0:
answer = False
return answer<|fim_prefix|># repo: JangGiWon/LeetCode path: /Valid Parentheses.py
class Solution:
def isValid(self, s: str) -> bool:
b_list = list(s)
answer = True
stack = []
<|fim_middle|> for b ... | code_fim | hard | {
"lang": "python",
"repo": "JangGiWon/LeetCode",
"path": "/Valid Parentheses.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JangGiWon/LeetCode path: /Valid Parentheses.py
class Solution:
def isValid(self, s: str) -> bool:
b_list = list(s)
answer = True
stack = []
<|fim_suffix|> if len(stack) != 0:
answer = False
return answer<|fim_middle|> for b ... | code_fim | hard | {
"lang": "python",
"repo": "JangGiWon/LeetCode",
"path": "/Valid Parentheses.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sayeed007/PythonProgramming path: /Numpy/7_NumPy_Array_Shape.py
import numpy as np
arr = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])
print('The shape of an array is the number of elements in each dimension.')
#Print the shape of a 2-D array
print(arr.shape)
#Print the shape of a 5-D array
arr = np.... | code_fim | medium | {
"lang": "python",
"repo": "sayeed007/PythonProgramming",
"path": "/Numpy/7_NumPy_Array_Shape.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Returns Copy or View?
print('Base/Return Type of reshape:', newarr)
#Unknown Dimension
newarr = arr.reshape(2, 2, -1) #Numpy calculate the dimension
print(newarr)<|fim_prefix|># repo: sayeed007/PythonProgramming path: /Numpy/7_NumPy_Array_Shape.py
import numpy as np
arr = np.array([[1, 2, 3, 4], [5,... | code_fim | hard | {
"lang": "python",
"repo": "sayeed007/PythonProgramming",
"path": "/Numpy/7_NumPy_Array_Shape.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: stella-shen/bilibili path: /depart_videos.py
# encoding=utf-8
import os
root_dir = '../data/iqiyi/'
for video_path in os.listdir(root_dir):
video_dir = root_dir + video_path
if os.path.isfile(video_dir):
video_id = video_path.strip().split('.')[0].split('_')[-1]
print 'l... | code_fim | medium | {
"lang": "python",
"repo": "stella-shen/bilibili",
"path": "/depart_videos.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.