seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
353370212 | from bs4 import BeautifulSoup
from Scraper_Class import Scraper, requests
import re
from pprint import pprint
class OfferUp(Scraper):
def __init__(self):
super().__init__(this_products=[], listing={}) #Same parameters as Scraper class and reset the values
def site_scrape(self, search, av... | null | Backend/OfferUp_Class.py | OfferUp_Class.py | py | 9,274 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Scraper_Class.Scraper",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "Scraper_Class.requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "Scraper_Class.requests",
"line_number": 17,
"usage_type": "name"
},
{
"api_name":... |
98632297 | # coding=utf-8
from tornado import gen
from service.data.base import DataService
from util.common.decorator import cache
from util.common import ObjectDict
class JobApplicationDataService(DataService):
# must not cache this func
@gen.coroutine
def get_job_application(self, conds, fields=None):
... | null | service/data/job/job_application.py | job_application.py | py | 2,224 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "service.data.base.DataService",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "tornado.gen.Return",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tornado.gen",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "util.comm... |
460697424 | import requests
from bs4 import BeautifulSoup
from flask import Flask
from flask_cors import CORS
from html2text import html2text
import classifier
import preprocessor
import time
import datetime
app = Flask(__name__)
CORS(app)
@app.route('/rest_doc/<path:url>', methods = ['GET'])
def read_text_url(url):
start = ... | null | rest.py | rest.py | py | 1,179 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.fromtimestamp... |
646535147 |
""" NDA JADI """
from pyXSteam.XSteam import XSteam
steamT = XSteam(XSteam.UNIT_SYSTEM_MKS)
import numpy as np
import matplotlib.pyplot as plt
temperatur = np.arange(10,100,1,dtype= int)
print(temperatur)
h = steamT.hV_t(temperatur)
print(h)
plt.plot(temperatur,h)
plt.show()
| null | Geothermal/Tes 1.py | Tes 1.py | py | 319 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyXSteam.XSteam.XSteam",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyXSteam.XSteam.XSteam.UNIT_SYSTEM_MKS",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 10,
"usage_type": "call"
},
{
"api... |
598594909 | '''
from scipy import stats
slope, intercept, r_value, p_value, sd_error = stats.linregress(x, y)
'''
import matplotlib.pyplot as plt
import numpy as np
import statsmodels.api as sm
import json
with open("melb_education_stats.json", "r") as mel_e:
mel_education = json.load(mel_e)
with open("vic_income.json", "r")... | null | Results/education_melb.py | education_melb.py | py | 1,957 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "statsmodels.api.add_constant",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "statsmodels.api",
... |
597072642 | import pygame
import random
pygame.init()
colors = {
'WHITE': (255,255,255),
'BLUE': (0, 0, 255),
'GREEN': (0,255,0),
'RED': (255, 0, 0),
'BLACK': (0, 0, 0)
}
clock = pygame.time.Clock()
display_width = 1024
display_height = 768
FPS = 60
font = pygame.font.SysFont("calibri", 32, bold=True)
bor... | null | skil1/safnarinn/safnarinn.py | safnarinn.py | py | 6,305 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.SysFont",
... |
159330243 | import multiprocessing
import time
x = multiprocessing.Value('i', 0)
start = time.perf_counter()
def counter_one(counter_x):
for i in range(1000000):
with counter_x.get_lock():
counter_x.value += 1
def counter_two(counter_x):
for i in range(1000000):
with counter_x.get_lock():
counter_x.value += 1
proc... | null | multiprocessing_lock.py | multiprocessing_lock.py | py | 778 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "multiprocessing.Value",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "multipr... |
166170708 | __author__ = 'Tony'
import xml.etree.ElementTree as ET
configfile = 'config.xml'
class SysConfig():
__root = None
def __init__(self):
tree = ET.parse(configfile)
self.__root = tree.getroot()
def getdatabasefiename(self):
try:
for dbase in self.__root.findall('databa... | null | SysConfig.py | SysConfig.py | py | 1,727 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 12,
"usage_type": "name"
}
] |
212233087 | #!/usr/bin/env mdl
import argparse
import numpy as np
import os
import sys
import json
from glob import glob
from tqdm import tqdm
import cv2
import torch
import torch.nn as nn
from torch.autograd import Variable
from model import Network
from pathlib import Path
datasets_catch = dict()
MEAN_FACE = np.array([
[... | null | pytorch_model/config/pytorch.update.base.20190308/torch_inference_gpu.py | torch_inference_gpu.py | py | 7,388 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "cv2.circle",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": 80,... |
70096843 | # # Run flask app: python3 application.py
# For uwsgi container to host flask in a production setting
# -> sudo apt-get install gcc (Need to have c compiler) -> If using mac command is sudo brew install gcc
# You also need the python development headers, to get this run the command or equivalent to apt-get install... | null | tex2speech/application.py | application.py | py | 7,773 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_... |
454602923 | import numpy as np
from sklearn.svm import LinearSVC, SVC, NuSVC, SVR, LinearSVR, NuSVR
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn import tree
from argparse import ArgumentParser
from pydotplus import graph_from_dot_data
from sklearn.model_selection i... | null | anaylsis/ml.py | ml.py | py | 13,667 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "argparse.add_argument",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "argparse.add_argument",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "a... |
14977058 |
from nltk.corpus import stopwords
stop_words = set(stopwords.words('english'))
file1 = open("AI1.txt")
line = file1.read()
words = line.split()
for r in words:
if not r in stop_words:
appendFile = open('filteredtext.txt','a')
appendFile.write(" "+r)
appendFile.close()
| null | stopremoval.py | stopremoval.py | py | 306 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 5,
"usage_type": "name"
}
] |
41560199 | #!/usr/bin/env python
import random
from datetime import datetime
'''
数据格式
# 商品id与内容
items => {'12':'PHP','1203':'Storm','123':'Ubuntu'}
# 商品id
items_pool => [12,32,121,324,532,123,53,1203,429,2932]
# 用户与对应的商品id
user_items => {'1010':[12,1203,123,429]}
'''
# 随机抽样负样本
def RandomSelectNagativeSample(items, items_pool):... | null | MyPaper/LFM.py | LFM.py | py | 6,687 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.randint",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 83,
"usage_type": "name"
},
{
"api_name": "codecs.open",
... |
138641300 |
import xlrd
from string import Template
import os
import shutil
def jsWriter(folder_name, small_folder_name):
if os.path.exists(folder_name +'/js'):
shutil.rmtree(folder_name +'/js')
shutil.copytree(os.getcwd() + '/js', folder_name+'/js')
with open(folder_name+'/js/externalFile.js', "a") a... | null | jsWriteFile.py | jsWriteFile.py | py | 2,254 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "shutil.rmtree",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "shutil.copytree",
"line... |
161495583 | # -*- coding:utf-8 -*-
# Copyright (C) 2012 Juan Carlos Moreno <juancarlos.moreno at ecmanaged.com>
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org... | null | ecagent/agent.py | agent.py | py | 6,154 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "twisted.internet.reactor.callWhenRunning",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "twisted.internet.reactor",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "ecagent.twlogging.critical",
"line_number": 57,
"usage_type": "call"
... |
638680882 | import os
import pickle
import sys
from collections import Counter
import fasttext
import matplotlib.pyplot as plt
import numpy as np
import sklearn
import tensorflow as tf
from sklearn.manifold import TSNE
SHORT_TITLE_LENGTH = 10
MARKERS = [['red', 100, 'o'], ['black', 100, 'x'], ['cyan', 100, 'd'], ['blue', 150, '... | null | helper.py | helper.py | py | 3,293 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.__version__",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.__version__",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "s... |
133107215 | from rest_framework import serializers
from supermarket_ms.models.product_model import Product
from supermarket_ms.models.category_model import Category
from supermarket_ms.serializers.category_serializer import CategorySerializer
class ProductSerializer(serializers.ModelSerializer):
unit_measurement = serializer... | null | lab2/SupermarketMS/supermarket_ms/serializers/product_serializer.py | product_serializer.py | py | 1,980 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ChoiceField",
"line_number": 8,
"usag... |
168235596 | import requests
from bs4 import BeautifulSoup
def get_equipment():
URL = "https://game8.co/games/Animal-Crossing-New-Horizons/archives/286679"
page = requests.get(URL)
# Get DIYS
soup = BeautifulSoup(page.content, "html.parser")
elements = soup.find_all("td", class_="center")
# Filter out a ... | null | diys/equipment.py | equipment.py | py | 579 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
}
] |
420077700 | from requests import request, post
from json import loads,dumps
import logging
from pymongo import MongoClient
import time
import datetime
logging.basicConfig(level=logging.DEBUG)
client = MongoClient('localhost',27017)
db = client.ksbao
ksbao_test = db.ksbao_test9
# ksbao_testInfo = db.ksbao_testInfo
class logi... | null | loginTestKsbao.py | loginTestKsbao.py | py | 11,365 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.info"... |
403541074 | import os.path
import math
import numpy as np
import cv2
import torch
import torch.utils.data as data
import data.util as util
class LRHRFourLevelsDataset(data.Dataset):
'''
Read LR, HR and intermediate target image groups.
If only HR image is provided, generate LR image on-the-fly.
The group is match... | null | code/data/LRHR_four_levels_dataset.py | LRHR_four_levels_dataset.py | py | 6,660 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.path.join",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.p... |
284259721 | from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib.auth.decorators import login_required
from django.shortcuts import render
from django.core.files.storage import FileSystemStorage
from services.models import Service
from .models import Person
from django.views.generic.edit import CreateView,... | null | gestao_desafio/persons/views.py | views.py | py | 5,506 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "models.Person.objects.all",
"line_number": 18,
"usage_type": "call"
}... |
388588937 | import numpy as np
import cv2
from matplotlib import pyplot as plt
MIN_MATCH_COUNT = 5
img1 = cv2.imread('./src1.png', 0) # 目标图像
img2 = cv2.imread('./test1.jpg', 0) # 原图像
# Initiate SIFT detector
sift = cv2.xfeatures2d.SIFT_create()
# find the keypoints and descriptors with SIFT
kp1, des1 = sift.detectAndCompute(i... | null | SIFT.py | SIFT.py | py | 2,362 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.xfeatures2d.SIFT_create",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.xfeatures2d",
... |
534372757 | # Copyright 2018 The NLP Odyssey Authors.
# Copyright 2018 Marco Nicola <marconicola@disroot.org>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENS... | null | colonel/emptynode.py | emptynode.py | py | 3,513 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "colonel.base_rich_sentence_element.BaseRichSentenceElement",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 32,
"usage_type": "name"
},... |
486313874 | import xml.etree.ElementTree as ET
import pandas as pd
cols = ["name", "phone", "email", "date"]
rows = []
#Parse XML file
tree = ET.parse('employee.xml')
root = tree.getroot()
for elem in root:
name = elem.find("name").text
phone = elem.find("phone").text
email = elem.find("emai... | null | samp.py | samp.py | py | 623 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
}
] |
257551216 | from collections import deque
'''
problem: You want to keep a limited history of the last few lines during iteration or during some kind of other process
solution: Keeping a limited history is perfect usecase for collections.deque. Code below performs a simple text match on a sequence of lines
and yields the matching... | null | Chapter1/collectsions_deques.py | collectsions_deques.py | py | 1,466 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 53,
"usage_type": "call"
}
] |
464553374 | import pygame
BLACK = pygame.Color(0, 0, 0)
WHITE = pygame.Color(255, 255, 255)
pygame.init()
screen = pygame.display.set_mode((640, 480))
pygame.display.set_caption('Collision')
# cria o Rect para o quadrado
square = pygame.Rect(300, 230, 20, 20)
# cria o Rect para os pads
left_pad = pygame.Rect(20, 210, 20, 60)... | null | test.py | test.py | py | 965 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.Color",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"lin... |
41020797 | #!/usr/bin/env python3
from gpiozero.pins.pigpio import PiGPIOFactory
from gpiozero import PhaseEnableMotor
from time import sleep
class GpiozeroDrive():
DIRECTION_FORWARD = 1
DIRECTION_BACKWARD = 0
DIRECTION_STRAFELEFT = 3
DIRECTION_STRAFERIGHT = 4
__pwmEnablePinWhiteLeftChannel = 12
__phase... | null | dev/gpiozero_drive.py | gpiozero_drive.py | py | 2,189 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gpiozero.PhaseEnableMotor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "gpiozero.PhaseEnableMotor",
"line_number": 20,
"usage_type": "call"
}
] |
161013368 | import numpy
import skfuzzy
import matplotlib.pyplot as plt
import seaborn as sns
# Variável de tempo (s), intervalo de tempo (s) e constante de segundos
t = 0
t_ = 0.001
seconds = int(1/t_)
# Referência da posição (m)
r = 5
# Posição (m), velocidade (m/s), aceleração (m/s²) e massa (kg) do sistema
p = 0
v = 0
a = 0... | null | 1. Sistemas Fuzzy/fuzzy_controller_1.py | fuzzy_controller_1.py | py | 13,491 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.arange",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_numbe... |
27815138 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# 日志模块配置
import logging
LOG_FORMAT = "%(asctime)s - %(levelname)s - %(message)s"
DATE_FORMAT = "%Y/%m/%d %H:%M:%S %p"
logging.basicConfig(filename='donghuan.log', level=logging.WARNING, format=LOG_FORMAT, datefmt=DATE_FORMAT)
# 日志装饰器
def logger(func):
def inner(*args, *... | null | utils/log.py | log.py | py | 523 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.warning",
"line_number": 17,
"usage_type": "call"
}
] |
196472431 | # Copyright (C) 2017 DataArt
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | null | web/controllers.py | controllers.py | py | 2,734 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "web.base.Controller",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "http.HTTPStatus.OK",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "http.HTTPStatus",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "http.HTTP... |
630690672 | import re
from django.contrib.staticfiles.storage import staticfiles_storage
from django.core.urlresolvers import reverse, NoReverseMatch
from jinja2 import Environment, contextfunction, evalcontextfilter, Markup, \
escape
from crispy_forms.utils import render_crispy_form
def navbar_active(request, pattern_or_url... | null | ivy/jinja2.py | jinja2.py | py | 1,336 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.core.urlresolvers.NoReverseMatch",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "re.search",
"line_number": 18,
"usage_type": "call"
},
{
... |
555931650 | from recorder import SimpleRecorder
from recorder import AudioAnalyzer
import logging
import numpy as np
import threading
import time
import bisect
class RecorderWatcher(threading.Thread):
def __init__(self,
defaut_bpm = 120,
master = None
):
threading.Thread.__init__(se... | null | recorder/recorder_watcher.py | recorder_watcher.py | py | 3,327 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "... |
20789080 | # coding: utf-8
import sys
import os
import shutil
import re
import json
import time
import subprocess
import datetime
import hashlib
import urllib
import logging
from random import randint
# for generating seed text
import random
import string
import warnings
import os
from flask import Flask, request
import reques... | null | facebook-chatbot/server.py | server.py | py | 9,956 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 68,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
... |
546075758 | import numpy as np
import xarray as xr
import datetime as dt
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.feature as cfeature
def snow_depth(lon, lat, month):
"""
Calculates Warren snow depth climatology for an array of latitude and
and longitude points for a given month. Par... | null | source/warren_climatology/warren_climatology.py | warren_climatology.py | py | 7,202 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
316434986 | #!/usr/bin/env python
"""
Create mutation summary excel from given tsvs
"""
import argparse
import pandas as pd
import os
def create_absolute_df(absolute_somatic_txts, absolute_segments):
absdf = pd.concat([pd.read_csv(asegs, sep="\t", dtype={"Chromosome":str}) for asegs
in absolute_somatic_txts], ... | null | scripts/mutation_summary_excel.py | mutation_summary_excel.py | py | 7,265 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.concat",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"li... |
368887052 | from django.core.paginator import EmptyPage, Paginator
import json
from django.core.paginator import PageNotAnInteger
from django.http import HttpResponse
from rest_framework.permissions import AllowAny
from rest_framework.views import APIView
from fuel.api import serializers
from fuel.models import Fuel
... | null | fuel/api/views.py | views.py | py | 4,681 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.AllowAny",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "fuel.api.serializers.FuelReadSerializer",
"line_number": 18,
"usage_type... |
390827652 | # -*- coding: utf-8 -*-
"""
Copyright 2019 eBay Inc.
Licensed under the Apache License, Version 2.0 (the "License");
You may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ag... | null | ebayoauthclient/eBayOAuthClient.py | eBayOAuthClient.py | py | 4,447 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "model.model.environment",
"line_number": 34,
"usage_type": "argument"
},
{
"api_name": "base64.b64encode",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "urllib.urlencode",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "urllib.... |
522418635 | import typing
from abc import ABC, abstractmethod
from ..http import HTTPClient
from ..state import ConnectionState
if typing.TYPE_CHECKING:
from ..clash_of_code import ClashOfCode
from ..codingamer import CodinGamer
from ..leaderboard import (
ChallengeLeaderboard,
GlobalLeaderboard,
... | null | codingame/client/base.py | base.py | py | 10,392 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "abc.ABC",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "http.HTTPClient",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "state.ConnectionStat... |
586463494 | import attr
from django.db.transaction import atomic
from .models import Currency
@attr.s(frozen=True)
class CurrencyBuilder():
""" Builds a Currency """
_name = attr.ib()
_base_price = attr.ib()
@atomic()
def build(self):
return Currency.objects.create(
name=self._name,
... | null | currencies/builders.py | builders.py | py | 368 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "attr.ib",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "attr.ib",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Currency.objects.create",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Currency.object... |
612631209 | import pygame
from pygame.locals import *
import sqlite3
from Const import *
from Paddle import *
from Brick import *
from random import randint
class BoardFactory:
def get_board(self, nb, type_game):
if type_game == GameType.LEVEL:
return BoardLevel(nb)
elif type_game == GameType.ENDLE... | null | Breakout/Board.py | Board.py | py | 3,763 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.draw.rect",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "random.randint",
... |
517016915 | # -*- coding=utf-8 -*-
'''
Faça um programa que leia o ano de nascimento de um jovem e informe,
de acordo com sua idade, se ele ainda vai se alistar ao serviço militar,
se é a hora de se alistar ou se já passou do tempo de alistamento
seu programa também deverá mostrar o tempo que falta ou que passou do prazo.
'''
fro... | null | ex039.py | ex039.py | py | 790 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
}
] |
573321917 | # noinspection PyPackageRequirements
from sqlalchemy.engine.url import URL
# noinspection PyPackageRequirements
from starlette import status
# noinspection PyPackageRequirements
from starlette.exceptions import HTTPException
# noinspection PyPackageRequirements
from starlette.types import Message, Receive, Scope, Send
... | null | gino/ext/starlette.py | starlette.py | py | 6,863 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "starlette.exceptions.HTTPException",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "starlette.status.HTTP_404_NOT_FOUND",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "starlette.status",
"line_number": 21,
"usage_type": "name"
... |
616960495 | import base64
import json
import pickle
from io import BytesIO
import cv2
import numpy
import requests
import werkzeug.exceptions
from PIL import Image
from flask import Flask, abort, jsonify, request
from flask.json import JSONEncoder
url = "https://fashion.recoqnitics.com/analyze"
accessKey = "9ff85e93750d9449738a"... | null | Tacocat/REST Server/src/main.py | main.py | py | 16,979 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.json.JSONEncoder",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "pickle.HIGHEST_PROTOCO... |
616264405 | # uncompyle6 version 3.7.4
# Python bytecode 2.5 (62131)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.linux-i686/egg/epscApp/optNotebook.py
# Compiled at: 2009-05-29 13:49:10
import wx
from SCMPanel import SCMPanel
from optAlgorithmPanel import OptAlg... | null | pycfiles/SCM-1.0alpha-py2.5/optNotebook.py | optNotebook.py | py | 4,906 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wx.Panel",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "SCMPanel.SCMPanel",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "SCMPanel.SCMPanel.__init__",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "SCMPanel.S... |
545644854 | import numpy as np
import glob
from os import path
from collections import deque
import random
import pickle
import heapq
import re
import settings
class DataLoader:
def __init__(self, mode, label_mode, fold_nbs, scene_nbs, batchsize=50, timesteps=4000, epochs=10,
buffer=10, features=160, class... | null | feedforward/modelsv2/dataloader.py | dataloader.py | py | 20,262 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "settings.dir",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_numbe... |
146753218 | from owners.tests.helpers import logUserIn, logUserOut, putUserInDb
from accounts.models import AddressBase
from renters.models import RenterAddress, Renter, Vehicle, Booking
from django.utils import timezone
import datetime
existing_user = {
'email':'zammitriley@gmail.com',
'password':'rileyzammit123',
}
mali... | null | renters/tests/helpers.py | helpers.py | py | 2,717 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "accounts.models.AddressBase.CANADA",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "accounts.models.AddressBase",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "accounts.models.AddressBase.CANADA",
"line_number": 29,
"usage_type":... |
397608580 | """
1. concurrent.futures对threading和multiprocessing的进行了高级别的抽象，暴露出统一的接口。
2. 常用方法submit和map。如果任务是一样的，用map。
3. 如果任务不一样，且任务可能会出现异常，则需要用submit。
4. 本程序展示map。
"""
import time
from concurrent.futures import ProcessPoolExecutor
from functools import wraps
from os import getpid
NUMBERS = range(20, 40)
def tim... | null | 00017._concurrent_programming/multiprocessing/process_pool/v2.py | v2.py | py | 1,140 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 36... |
627948658 | import cv2
import numpy as np
import face_recognition
import os
from datetime import datetime
# initialization part
path = "img"
images = []
className = []
myList = os.listdir(path)
print(myList)
# this part fetch name from images
for cl in myList:
curImg = cv2.imread(f'{path}/{cl}')
images.append(curImg)
... | null | main.py | main.py | py | 2,351 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
448027411 | import akshare as ak
import time, datetime
import numpy as np
from com.swordfall.service.hk.HKStockService import HKStockService
from com.swordfall.utils.CommonUtils import CommonUtils
from com.swordfall.trade.hk.HkStockSpot import get_hk_stock_exist
common_utils = CommonUtils()
hk_stock_service = HKStockService()
de... | null | com/swordfall/trade/hk/HkStockDaily.py | HkStockDaily.py | py | 4,707 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "com.swordfall.utils.CommonUtils.CommonUtils",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "com.swordfall.service.hk.HKStockService.HKStockService",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "com.swordfall.trade.hk.HkStockSpot.get_hk_stock_... |
20171787 | from zeit.cms.checkout.helper import checked_out
from zeit.cms.testcontenttype.testcontenttype import ExampleContentType
from zeit.newsletter.category import NewsletterCategory
from zeit.newsletter.interfaces import INewsletterCategory
from zeit.newsletter.newsletter import Newsletter
import datetime
import mock
import... | null | core/src/zeit/newsletter/tests/test_category.py | test_category.py | py | 14,998 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zeit.cms.checkout.helper.newsletter",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "zeit.cms.checkout.helper",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "zeit.newsletter.category.NewsletterCategory",
"line_number": 18,
"usage... |
174755186 | import socket
import json
import datetime
import os
print("starting ServiceListener")
class ServiceListener():
#checking local text file
if os.path.exists("onlineusers.txt"):
os.remove("onlineusers.txt")
global f,flag
flag=0
port = 5000
f=open("onlineusers.txt","a+"... | null | ServiceListener.py | ServiceListener.py | py | 1,357 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.remove",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_numbe... |
150948087 | from django.urls import path,include
from . import views
app_name = 'base'
urlpatterns = [
path('login', views.loginpage, name='login'),
path('logout', views.logoutUser, name='logout'),
path('register', views.registerUser, name='register'),
path('index/', views.home, name='home'),
path('index/room... | null | base/urls.py | urls.py | py | 570 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
254805970 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 6 11:30:24 2019
@author: macbook
"""
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import StandardScaler
from sklearn.naive_bayes import GaussianNB
from sklearn.metrics import confusion_matrix
import ... | null | gender_pre.py | gender_pre.py | py | 1,466 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 22,
"usage_type": "call"
},
... |
451912295 | from sklearn.linear_model import LinearRegression
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.read_csv('ml\\data\\tem10y.csv', sep=',', encoding = 'utf-8')
train_year = (df['연'] <= 2015)
test_year = (df['연'] >= 2016)
interval = 6
# 과거 6일의 데이터를 기반으로 학습할 데이터 만들기
def make_data(data):
... | null | mlearn/m08_weather1.py | m08_weather1.py | py | 3,617 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "nump... |
446392325 | """
# MAML
python3 main.py --datasource=omniglot-py --suffix=png --load-images --ml-algorithm=MAML --first-order --network-architecture=CNN --no-batchnorm --min-way=5 --max-way=5 --num-epochs=100 --resume-epoch=0 --train
python3 main.py --datasource=miniImageNet --suffix=jpg --load-images --ml-algorithm=MAML --first-o... | null | main.py | main.py | py | 9,025 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 110,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
... |
55230417 | from django.db import models
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager
#from phone_field import PhoneField
from django.core.validators import MinLengthValidator
# Create your models here.
class MyAccountManager(BaseUserManager):
def create_user(self,email,username,firstname,lastname,a... | null | account/models.py | models.py | py | 3,849 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.auth.models.BaseUserManager",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.AbstractBaseUser",
"line_number": 68,
"usage_type": "name"
},
{
"api_name": "django.db.models.EmailField",
"line_number": 69,
"u... |
493206880 | import os
import argparse
import time
from pathlib import Path
import torch
import torch.nn as nn
import torch.optim as optim
from tensorboardX import SummaryWriter
from tqdm import tqdm
from checkpointer import Checkpointer, BestCheckpointer
from helper import get_model, create_dataloader
classes = ('plane', 'car',... | null | main.py | main.py | py | 7,454 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "tensorboardX.SummaryWriter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tensorboardX.SummaryWriter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "to... |
368940658 | import requests
from flask import request, jsonify
import json
from werkzeug.wrappers import Request, Response
usr = 'sapwarrantyrecall'
pwd = 'sapwarrantyrecall'
print('\nstarting sapwarrantyrecall request\n')
def response():
print('in the response function \n')
resp = requests.get('http://localhost:5000/s... | null | __offline/__Digital_Twin/__release2/__release2_sprint3/flask_project/__sapwarrantyrecall/__Request.py | __Request.py | py | 617 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
}
] |
445357591 | """
This sample is extensions of "write_schema_and_cred_def.py"
Shows how to issue a credential as a Trust Anchor which has created a Cred Definition
for an existing Schema.
After Trust Anchor has successfully created and stored a Cred Definition using Anonymous Credentials,
Prover's wallet is created and opened, and... | null | doc/how-tos/issue-credential/python/issue_credential.py | issue_credential.py | py | 8,082 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "indy.pool.create_pool_ledger... |
630504071 | from django.urls import path
from . import views
app_name = 'leads'
urlpatterns = [
path('' , views.LeadListView.as_view() , name = 'home_page'),
path('<int:pk>/' , views.LeadDetailView.as_view() , name = 'lead_detail'),
path('<int:pk>/update/' , views.LeadUpdateView.as_view() , name = 'lead_update'),
... | null | leads/urls.py | urls.py | py | 946 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
44152998 | # -*- coding: utf-8 -*-
from django.db import connection
# retrieve universe
universe = "ng03"
'''
function openDB(connStr)
set openDB = Server.CreateObject("ADODB.Connection")
openDB.Open connStr
end function
'''
def dict_fetchall(cursor):
columns = [col[0] for col in cursor.description]
return [
... | null | web_game/lib/sql.py | sql.py | py | 1,936 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.connection.cursor",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.db.connection",
"line_number": 31,
"usage_type": "name"
}
] |
484755508 | import os, datetime, logging
import apache_beam as beam
from apache_beam.io import ReadFromText
from apache_beam.io import WriteToText
### The purpose of this beam pipeline is to cleanse our data.
### Some of the values in our data are Null
### We would like to assign the Nulls to a value of 0.
### This pipeline clean... | null | MASSACHUSETTS/MASSACHUSETTS_TOBACCO_USE_beam_dataflow.py | MASSACHUSETTS_TOBACCO_USE_beam_dataflow.py | py | 3,944 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "apache_beam.DoFn",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "ap... |
436012478 | #!/usr/bin/python3
# coding: utf-8
# https://danijar.com/building-variational-auto-encoders-in-tensorflow/
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
fig, ax = plt.subplots(nrows=20, ncols=11, figsize=(10, 20))
mnist = input_data... | null | bin/template/src/jpttensorflow/l86_Variational-Autoencoder.py | l86_Variational-Autoencoder.py | py | 3,803 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tensorflow.examples.tutorials.mnist.input_data.read_data_sets",
"line_number": 9,
"usage_type"... |
359074826 | #!/usr/bin/python
# -*- coding: utf-8 *-*
##@package srd_light_tcs
# Package with automated Search/Download tab tests using
# Selenium Webdriver
##@file numfiles_minvalue_light_test.py
# @brief Test Cases searching different values in the min and max number
# of files fields of the Extended Search tab
# @ingroup su... | null | SRDTestSuite/srd_crud_tcs/example_files/numfiles_minvalue_light_test.py | numfiles_minvalue_light_test.py | py | 3,219 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "... |
411665822 | import logging
import fire
from .defaults import load_config, RequestError
from .helpers import decorate_for_fire
from zia import ZscalerInternetAccess
def main():
load_config()
LOGGER = logging.getLogger(__name__)
LOGGER.setLevel(logging.DEBUG)
try:
z = decorate_for_fire(ZscalerInternetAcce... | null | zia/__main__.py | __main__.py | py | 458 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "defaults.load_config",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "helpers.dec... |
370557487 | import tweepy
import json
import array
import random
import time
import datetime
from PIL import Image, ImageDraw, ImageFont
LOWHOUR = 2
HIGHHOUR = 9
# Python program to illustrate the intersection
# of two lists using set() method
def intersection(lst1, lst2):
return list(set(lst1) & set(lst2))
def createFo... | null | FollowerWarBotRecover.py | FollowerWarBotRecover.py | py | 6,070 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tweepy.Cursor",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tweepy.Cursor",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number"... |
419024165 | # Imports
from pyimagesearch.tempimage import TempImage
from picamera.array import PiRGBArray
from picamera import PiCamera
import argparse
import warnings
import datetime
import imutils
import dropbox
import json
import time
import cv2
# arg parser
ap = argparse.ArgumentParser()
ap.add_argument("-c", "--conf", requir... | null | pi_surveillance.py | pi_surveillance.py | py | 4,903 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dropbox.Dro... |
235371666 |
#!/usr/local/bin/python
# -*- coding: utf-8 -*-
import urllib2
import selenium
import unittest
from time import sleep
import json,httplib
class stb_rcu(object):
STB_PORT = '8081'
STB_IP = '192.168.1.57'
def __init__(self):
self.stb_connection = httplib.HTTPConnection(self.ST... | null | lib/remote_control.py | remote_control.py | py | 1,688 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "httplib.HTTPConnection",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_n... |
652676542 | # -*- coding:utf-8 -*-
# 爬虫组件类
import time
import logging
import re
from urllib.parse import urlparse
import time
from datetime import datetime
from datetime import timedelta
import random
import itertools
import os
import csv
import hashlib
import shelve
import requests
from requests.exceptions import RequestExceptio... | null | lagouSpider/spider.py | spider.py | py | 11,740 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "logging.info",
... |
462196275 | from pyflink.common.time import Instant
from pyflink.common import Types
from pyflink.datastream import StreamExecutionEnvironment
from pyflink.table import(
DataTypes,TableDescriptor, Schema, StreamTableEnvironment
)
from pyflink.table.expressions import lit, col
from pyflink.table.window import Tumble
env = Str... | null | data-engineering/04-flink/20_sliding_window_sql.py | 20_sliding_window_sql.py | py | 2,212 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyflink.datastream.StreamExecutionEnvironment.get_execution_environment",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyflink.datastream.StreamExecutionEnvironment",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pyflink.table.StreamTableEn... |
576332240 | from pypylon import pylon
import cv2
import sys
import numpy as np
from scipy.interpolate import interp2d
from PyQt5.QtCore import pyqtSignal, Qt
from PyQt5.QtGui import QImage, QPixmap
from freespin import Ui_FreeSpin
from PyQt5.QtWidgets import QApplication
import asyncio
import inspect
from PyQt5.QtCore import QRec... | null | image_processing.py | image_processing.py | py | 20,472 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.max",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 76... |
295777502 | from datetime import datetime
import random
import sqlite3
from collections import namedtuple
from jinja2 import Template
from quart import Quart, request
MAX_BETA = 30 # Prevent recall rate from converging by setting a max number of obsevations.
app = Quart(__name__)
Word = namedtuple('Word', ['rank', 'type', 'w... | null | play.py | play.py | py | 6,321 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "quart.Quart",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.uniform",
... |
62294861 | import numpy as np
import cv2
import matplotlib.pyplot as plt
import glob
import pickle
from pathlib import Path
########## camera calibration ###############
if Path('./calibration.p').exists():
with open('./calibration.p', 'rb') as handle:
calibration = pickle.load(handle)
ret = calibration['ret'... | null | 1-Computer-Vision-and-Deep-Learning/CarND-P4-Advanced-Lane-Lines/finding_lane.py | finding_lane.py | py | 2,758 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 23... |
625451475 | import sys
sys.path.append('../..')
import os
import copy
import logging
import numpy as np
from typing import List, Optional, Union, Any
import torch
from torch.utils.data import DataLoader
from transformers import AutoTokenizer, AutoModel
from nltk.tokenize import word_tokenize, sent_tokenize
from tokenizations i... | null | LabelModel/CHMM/Data.py | Data.py | py | 14,283 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.utils",
"line... |
636905129 | import logging
from threading import Lock, get_ident
sql_thread_logger = logging.getLogger("sqlite_thread")
class RWLock:
"""A class implementing a read/write lock with writer priority.
"""
_readtry: Lock
_rlock: Lock
_wlock: Lock
_resource: Lock
_readers: int
_writers_waiting: int
... | null | package/common/rwlock.py | rwlock.py | py | 3,525 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "threading.Lock",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "threading.Lock",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "threading.Lock",
"... |
495929129 | import pandas as pd
##https://plotly.com/python/line-charts/
import plotly.express as px
data = pd.read_csv('videos_export.csv')
data['uploaded_at'] = pd.to_datetime(data['uploaded_at'])
#Calculate aggregation by codec
plot_df = []
for codec in data['codec'].unique():
temp = data[data.cod... | null | plots.py | plots.py | py | 1,216 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
... |
163939647 | import asyncio
class Server:
def __init__(self, host, port):
self.storage = {}
self.host = host
self.port = port
async def start(self):
serv = await asyncio.start_server(self.server, self.host, self.port)
await serv.serve_forever()
async def server(self, reader, ... | null | final_project/server_coroutines.py | server_coroutines.py | py | 2,638 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "asyncio.start_server",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "asyncio.run",
"line_number": 84,
"usage_type": "call"
}
] |
450522283 | import math
import random
import numpy as np
import torch
def shift(xy, center):
# theta = random.random() * 2.0 * math.pi
xy = xy - center[np.newaxis, np.newaxis, :]
return xy
def theta_rotation(xy, theta):
# theta = random.random() * 2.0 * math.pi
ct = np.cos(theta)
st = np.sin(theta)
... | null | trajnetplusplusbaselines/trajnetbaselines/cfvae/utils.py | utils.py | py | 2,454 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.newaxis",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number"... |
318023350 | #!/usr/bin/env python3
import unittest
from pathlib import Path
from src.anonfile import AnonFile
TOKEN = None
def test_option(token):
TOKEN = token
class TestAnonFile(unittest.TestCase):
def setUp(self):
self.anon = AnonFile(TOKEN) if TOKEN else AnonFile()
self.test_file = Path("tests/tes... | null | tests/test_anonfile.py | test_anonfile.py | py | 1,009 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "src.anonfile.AnonFile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "call"
}
] |
201230292 | from sqlalchemy import create_engine,MetaData, select,update
from sqlalchemy.orm import Session
# import pandas as pd
# import numpy
import csv
import math
from scipy.stats import sem
# import pdb; pdb.set_trace()
from sqlalchemy.sql import func
from datetime import datetime,date, timedelta
#from datetime import datet... | null | ISO/validation_chk_now.py | validation_chk_now.py | py | 14,674 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "decouple.config",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.MetaData",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sys.exit... |
19577851 | from django.urls import path
from . import views
urlpatterns = [
path('internships/', views.Internships, name='internships'),
path('my-internships/', views.MyInternships, name='my-internships'),
path('internships/create/', views.Intern... | null | internshipPortal/urls.py | urls.py | py | 1,365 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
645172816 | from django.core.management import BaseCommand
from plans import tasks
class Command(BaseCommand):
help = 'Autorenew accounts and with recurring payments'
def handle(self, *args, **options): # pragma: no cover
self.stdout.write("Starting renewal")
renewed_accounts = tasks.autorenew_account()... | null | plans/management/commands/autorenew_accounts.py | autorenew_accounts.py | py | 523 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.management.BaseCommand",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "plans.tasks.autorenew_account",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "plans.tasks",
"line_number": 10,
"usage_type": "name"
}
] |
295217286 | # Copyright (c) 2021 OpenKS Authors, DCD Research Lab, Zhejiang University.
# All Rights Reserved.
"""
Basic class for loading data from file or database systems
"""
from typing import List
from enum import Enum, unique
import csv
from zipfile import ZipFile
from io import TextIOWrapper
import json
import logging
imp... | null | openks/loaders/loader.py | loader.py | py | 7,983 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "enum.unique",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number"... |
553298015 | # Copyright 2018 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | null | tensorflow_transform/nodes_test.py | nodes_test.py | py | 7,699 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.test",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "collections.namedtuple",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tensorflow_transform.nodes.OperationDef",
"line_number": 30,
"usage_type": "attribute"
},
... |
18957056 | import pickle as pk
import tensorflow as tf
from tqdm import tqdm
from tqdm import trange
from .hamming import hamming_score
from sklearn.metrics import f1_score
from .elmo_bilstm import BiElmo_model
import numpy as np
import pickle as pk
class BiLstm_Elmo(object):
def __init__(self, X_train, y_train, X... | null | multilab/Models/Bilstm_elmo/elmo_bilstm_train.py | elmo_bilstm_train.py | py | 6,884 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
476140315 | from collections.abc import Iterable
from pathlib import Path
import time
import h5py
import openmc
from openmc.checkvalue import check_type, check_value
class Model:
"""Model container.
This class can be used to store instances of :class:`openmc.Geometry`,
:class:`openmc.Materials`, :class:`openmc.Set... | null | openmc/model/model.py | model.py | py | 10,145 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "openmc.Geometry",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "openmc.Materials",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "openmc.Settings",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "openmc.Tallies",
... |
528204886 | import logging
log_file = logging.FileHandler('myserver.log')
console_out = logging.StreamHandler()
logging.basicConfig(handlers=(log_file, console_out), format = '[%(asctime)]: %(message)s', datefmt='%m.%d.%Y %H:%M:%S' , level = logging.ERROR)
import socket
import os
with open('settings.txt', 'r+') as f:
... | null | web-server.py | web-server.py | py | 2,974 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.FileHandler",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.ER... |
451264403 | from collections import Counter
from collections import defaultdict
from collections import namedtuple
# Example of Counter Class
letters = 'aaaaaaaabbbbbbacccccccddddddddddddddddddddddddd'
c = Counter(letters)
print(c)
print(c.most_common())
print(list(c))
# Example of defaultdict to not get error while indexing ... | null | CollectionsModule.py | CollectionsModule.py | py | 561 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 24,
"usage_type": "call"
}
] |
418645356 |
from numba import cuda, guvectorize, void, float64
import numpy as np
@guvectorize([void(float64[:,:], float64[:,:], float64[:,:])], '(m,l),(l,n)->(m,n)', target='cuda')
def matmul_gu3(A, B, out):
"""Perform square matrix multiplication of out = A * B
"""
# out = np.empty((A.shape[0], B.shape[1]), A.dtyp... | null | GCI-cuda/MatrixOperation.py | MatrixOperation.py | py | 2,087 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numba.cuda.grid",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numba.cuda",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numba.guvectorize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numba.void",
"line_nu... |
127176099 | #-*- coding: utf-8 -*-
import requests
from bs4 import BeautifulSoup
import mysql.connector
mydb = mysql.connector.connect(
host="localhost",
user="root",
passwd="adminek107",
database="wynajem_warszawa"
)
mycursor = mydb.cursor()
def cena(soup):
cena = str(soup.find_all(attrs="amount")[0])
cena =... | null | src/test.py | test.py | py | 1,307 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 7,
"usage_type": "name"
},
{
"api... |
541700943 | """
Update OSPR with link to survey.
"""
import arrow
from ....lib.github.client import get_authenticated_gh_client
from ....lib.jira.client import get_authenticated_jira_client
from ...models import GithubEvent
from .utils import find_issues_for_pull_request
EVENT_TYPES = (
'pull_request',
)
SURVEY_URL = (
... | null | openedx_webhooks/github/dispatcher/actions/closed_ospr_survey.py | closed_ospr_survey.py | py | 2,554 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib.github.client.get_authenticated_gh_client",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "models.GithubEvent",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "lib.jira.client.get_authenticated_jira_client",
"line_number": 49,
"usag... |
534961078 | import os
import numpy as np
import tensorflow as tf
from tensorflow.contrib.layers import batch_norm, flatten
from tensorflow.contrib.layers import xavier_initializer
from tensorflow.contrib.framework import arg_scope
from tflearn.layers.conv import global_avg_pool
from PIL import Image
import matplotlib.image as mpim... | null | DenseVnet.py | DenseVnet.py | py | 12,921 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "data_aug.scale",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "data_aug.rotate",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "tensorflow.name_scope",
... |
140113191 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Crawls a website, sticking to just the given domain and not following external links. Reports non-200 response codes
to the emails provided if any. Emails can be omitted if you're just interested in warming the cache.
by Phillip Stromberg
on 2015-01-27
"""
from boto i... | null | site_scan.py | site_scan.py | py | 6,889 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "configparser.RawConfigParser",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "request... |
483392824 | import helpers
import cv2
import random
import numpy as np
import tensorflow as tf
model = tf.keras.models.load_model('model.h5')
def get_standatr_signs():
"""Функция, позволяющая получить стандартные изображения знаков для сравнения
с оригинальными изображениями. Стандартные изображения знаков хран... | null | eval.py | eval.py | py | 3,453 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2... |
284402848 | from tkinter import *
import numpy as np
import random
from PIL import Image, ImageTk, ImageDraw #Подключим необходимые библиотеки.
from tkinter import filedialog
import os
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import datetime as dt
import csv
def open_img():
... | null | 7-AnalizImage_graf.py | 7-AnalizImage_graf.py | py | 5,931 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PIL.Image.ANTIALIAS",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"li... |
578345061 | # CivicTechHub AIRTABLE TO SQL
# by Franco Morero (https://github.com/francomor)
# This auto populate the tables topic, group, group_topic and service_link
# in Mysql database taking the data from Airtable
import enum
from airtable import Airtable
from sqlalchemy import create_engine, text, Table, Column, Integer, St... | null | app/py_scripts/airtable2sql/airtable_to_sql.py | airtable_to_sql.py | py | 11,842 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 17,
... |
264439317 | import sys
import cv2
import pyflycap2.interface as flycap
if __name__ == '__main__':
fname1 = "Capture.png"
fname2 = "Capture2.png"
flycap.init_conf('.//interface.conf')
cam = flycap.Camera(serial=[15631910]) # other = GigE
# print cam.get_num_cameras()
cam.connect()
cam.start_capture()
... | null | t.py | t.py | py | 719 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyflycap2.interface.init_conf",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyflycap2.interface",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pyflycap2.interface.Camera",
"line_number": 9,
"usage_type": "call"
},
{
"api_nam... |
472290890 | import mock
from tempfile import NamedTemporaryFile
import unittest
from auslib.AUS import AUS3
def RandomAUSTest(AUS, throttle, force):
with mock.patch('auslib.db.Rules.getRulesMatchingQuery') as m:
m.return_value=[dict(throttle=throttle, priority=1)]
results = AUS.rand.getRange()
result... | null | auslib/test/test_AUS.py | test_AUS.py | py | 5,652 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mock.patch",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "mock.patch",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "auslib.AUS.AUS3",
"li... |
531918641 | from itertools import permutations
def solution(k, dungeons):
L = len(dungeons)
answer = 0
for perms in permutations(dungeons, L):
tmp_k, cnt = k, 0
for req, cost in perms:
if tmp_k >= req and tmp_k >= cost:
cnt += 1
tmp_k -= cost
els... | null | Programmers/위클리 챌린지/12주차/피로도.py | 피로도.py | py | 539 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.permutations",
"line_number": 7,
"usage_type": "call"
}
] |
433007687 | from django.conf.urls import url
from django.contrib import admin
from .views import (
categories_list,
categories_create,
categories_detail,
categories_update,
categories_delete
)
urlpatterns = [
url(r'^$', categories_list, name='list'),
url(r'^create/$', categories_create),
url(r'^(?P<pk>[\w-]+)/$'... | null | Categories/urls.py | urls.py | py | 486 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "views.categories_list",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "django.conf.urls.url",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "v... |
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