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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16996506 | from eatsat.models import Restaurant, Account, Eatsat, WaitTime
from django.shortcuts import render
from django.http.response import HttpResponseRedirect
from django.core.urlresolvers import reverse
import datetime
import math
from django.core import serializers
def index(request):
restaurant_List = Restaurant.ob... | null | eatsat/views.py | views.py | py | 4,865 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "eatsat.models.Restaurant.objects.order_by",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "eatsat.models.Restaurant.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "eatsat.models.Restaurant",
"line_number": 11,
"usage_type... |
318489273 | '''
interpolate and fit data from optoforce and apriltag
date: 23 Aug 2018
author: nouyang
'''
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import os, glob, sys
import math
from scipy.interpolate import interp1d
from sklearn import linear_model
from sklearn import me... | null | sensor_input_scripts/apriltag_python/python/interp_linear.py | interp_linear.py | py | 7,331 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "seaborn.set",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 44,
... |
532652166 | #!/usr/bin/env python3
import re
import os
from flask_bootstrap import Bootstrap
from flask import Flask, render_template, Response
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
import calculator
from forms import SequenceForm
app = Flask(__name__)
app.config['SECRET_KEY'] = os... | null | app.py | app.py | py | 1,445 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask_bootstrap.Bootstrap",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask_limiter.Limite... |
601591673 | import serial
port = '/dev/ttyACM0'
brate = 9600
cmd = 'temp'
ser = serial.Serial(port, baudrate=brate, timeout=None)
print(ser.name)
while True:
if ser.in_waiting != 0:
content = ser.readline()
print(content) | null | StudySeries/PythonRasp/serial_read.py | serial_read.py | py | 232 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "serial.Serial",
"line_number": 7,
"usage_type": "call"
}
] |
175517910 | # -*- coding: utf8 -*-
from bs4 import BeautifulSoup
import urllib2
page = 1
f = open("NewsTitleList.csv", 'w')
f.write('제목,언론사,시간\n')
for i in range(1,20):
url = "http://news.search.naver.com/search.naver?ie=utf8&where=news&query=%EC%88%98%EB%8A%A5+%EA%B2%BD%EC%B0%B0&sm=tab_pge&sort=1&photo=0&field=0&reporter_ar... | null | NaverNewsTitleCrawler.py | NaverNewsTitleCrawler.py | py | 1,196 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib2.Request",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
}
] |
106192635 | import pytest
import sys, os
myPath = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, myPath + '/../')
from ct_district_lookup.lookup import State, Town
class TestState():
def test_create(self):
s = State('Test State')
assert isinstance(s, State)
def test_name(self):
s =... | null | tests/test_state.py | test_state.py | py | 2,543 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line... |
622806614 | """module docstring"""
import os
import json
from ibm_watson import LanguageTranslatorV3
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
from dotenv import load_dotenv
load_dotenv()
apikey = os.environ['apikey']
url = os.environ['url']
authenticator = IAMAuthenticator(apikey)
language_translator = La... | null | final_project/machinetranslation/translator.py | translator.py | py | 1,106 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "ibm_cloud_sdk_core.... |
189992197 | import os.path
from util.hdsconstants import *
import json
from collections import defaultdict
#Global Declarations
appl_props= {}
payload_props = {}
separator = "="
keys = {}
s=[]
d = defaultdict(list)
def loadPayloadProps():
print(os.path.join(project_root,RESOURCES_FOLDER,PROPS_PAYLOAD))
... | null | src/util/readprops.py | readprops.py | py | 2,641 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path",... |
175506477 | """Device manager."""
import asyncio
import logging
import async_timeout
from ..address import Address
from ..constants import AllLinkMode, DeviceAction
from ..device_types.device_base import Device
from ..device_types.modem_base import ModemBase
from ..device_types.x10_base import X10DeviceBase
from ..managers.saved... | null | pyinsteon/managers/device_manager.py | device_manager.py | py | 13,780 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "subscriber_base.SubscriberBase",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "topics.DEVICE_LIST_CHANGED",
"line_number": 35,
"usage_type": "name"
},
{
"api_n... |
425401247 | #!/usr/bin/env python3
import statistics
import matplotlib
import random
import matplotlib.pyplot as plt
totals = [0,0,0,0,0,0]
percents = []
dev = []
numRolls = 1000000
c = 1
while c < numRolls:
roll = random.randrange(6)
totals[roll] += 1
p = [i/c for i in totals]
percents.append(p)
dev.append(statistics.pst... | null | 163e/roll.py | roll.py | py | 626 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.randrange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "statistics.pstdev",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplot... |
349155749 | from discord.ext import commands
from discord.utils import get
class WorryWarInfo(commands.Cog):
@commands.command(name="skills")
async def skills_info(self, ctx):
"""General information about the Worry War skills"""
await ctx.send("Available attacks: \n"
":on... | null | Cogs/worry-war-info.py | worry-war-info.py | py | 4,063 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.command",
"line_number": 7,
"usage_type": "call"
},
{
"api_... |
91146077 | from routes import (
current_user,
redirect,
)
from routes import http_response
from utils import log
import os
def route_index(request):
"""
主页的处理函数, 返回主页的响应
"""
index_path = os.path.join('html', 'index.html')
with open(index_path, 'r', encoding='utf8') as f:
body = f.read()
r... | null | routes/routes_static.py | routes_static.py | py | 897 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "routes.http_response",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"li... |
279155270 | import eventlet
eventlet.monkey_patch()
from flask import Flask, Response,render_template
from flask_socketio import SocketIO, send, emit
from subprocess import Popen, call
import time
import board
import busio
import adafruit_mpu6050
import json
import socket
import signal
import sys
from queue import Queue
impor... | null | Lab 3/wizard/app.py | app.py | py | 4,881 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "eventlet.monkey_patch",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "busio.I2C",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "board.SCL",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "board.SDA",
"line_n... |
116836613 | import sys
sys.stdin = open('boj_3055.txt', 'r')
import sys
from collections import deque
readlines = sys.stdin.readline
R, C = map(int, input().split())
field = [input() for _ in range(R)]
dy = [-1, 1, 0, 0]
dx = [0, 0, -1, 1]
waters = []
water_fields = [[-1] * C for _ in range(R)]
me, goal = 0, 0
for r in range(... | null | 정준현/08_BFSDFS_02/boj_3055_탈출.py | boj_3055_탈출.py | py | 1,743 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.stdin",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 29,
"usage_type": "call"
}
] |
408514036 | #!/usr/bin/env python3
import os
import logging
import json
import uuid
import redis
import requests
import subprocess
import time
import hashlib
LOG = logging
REDIS_QUEUE_LOCATION = os.getenv('REDIS_QUEUE', 'localhost')
QUEUE_NAME = 'queue:factoring'
INSTANCE_NAME = uuid.uuid4().hex
LOG.basicConfig(
level=LOG... | null | worker/factor_worker.py | factor_worker.py | py | 3,087 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 56,
... |
306750276 | import yaml
class Sequence(object):
def __init__(self):
self.header_info = {
"goal_x": float,
"goal_y": float,
"goal_angle": float,
"base_speed": float,
"base_ang_v": float,
"pos_tolerance": float,
"angle_tolerance": float... | null | src/db_planning/src/db_planning/sequence.py | sequence.py | py | 1,933 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "yaml.safe_load",
"line_number": 37,
"usage_type": "call"
}
] |
123956570 | import socket
import sys
import datetime
import cv2
import pickle
import numpy as np
import struct ## new
import zlib
HOST=''
PORT=8485
s=socket.socket(socket.AF_INET,socket.SOCK_STREAM)
print('Socket created')
s.bind((HOST,PORT))
data = b""
encode_param = [int(cv2.IMWRITE_JPEG_QUALITY), 90]
payload_size = struct.... | null | Final/RA_Server/imageprocessingserver/project/segmentation_image_server.py | segmentation_image_server.py | py | 4,949 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "socket.socket",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.IMWRITE... |
87290341 | from typing import Generator
from users.models import User
def test_user_create(user_dict):
user = User.create_new(**user_dict)
assert user
assert user.username == user_dict["username"]
assert User.check_password(user.password, user_dict["password"])
def test_user_create_from_list(ten_users_generat... | null | src/tests/users/test_user_model.py | test_user_model.py | py | 814 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "users.models.User.create_new",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "users.models.User",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "users.models.User.check_password",
"line_number": 10,
"usage_type": "call"
},
{
"api... |
495123828 | import matplotlib.pyplot as plt
'''
Тест для функции решения уравнения переноса (TVD)
Вычисляется u спустя время t_end
'''
a = -0.5
left = 1.0 # пределы по оси x
right = 2.0
dx = 0.01
cfl = 0.09
dt = cfl*dx/abs(a)
t_end = 0.6 # Время (t_end / dt задает количество итераций)
n = int((right - left) / dx)
... | null | utils/TVD_method/TVDMethod_test.py | TVDMethod_test.py | py | 1,320 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.ylabel",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "mat... |
408426903 | from socket import *
import asyncio
async def echo_server(address, loop):
sock = await loop.socket(AF_INET, SOCK_STREAM)
sock.bind(address)
sock.listen(1)
sock.setblocking(False)
while True:
client, addr = sock.accept()
print(f"connection from: {addr}")
#echo_handler(client)... | null | coroutines/async_sock.py | async_sock.py | py | 834 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "asyncio.get_running_loop",
"line_number": 28,
"usage_type": "call"
}
] |
178238444 | from bs4 import BeautifulSoup
import requests
url = 'https://quotes.toscrape.com/'
responce = requests.get(url)
if responce.ok:
soup = BeautifulSoup(responce.text, 'lxml')
quotes = soup.select('div[class = "quote"]')
for quote in quotes:
text = quote.select_one('span[class = "text"]').te... | null | HT_8/text_scraper.py | text_scraper.py | py | 873 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"li... |
430037412 | """
Tests for the thread pool.
Pyro - Python Remote Objects. Copyright by Irmen de Jong (irmen@razorvine.net).
"""
from __future__ import with_statement, print_function
import time
import random
import unittest
from Pyro4.socketserver.threadpool import Pool, PoolError, NoFreeWorkersError
import Pyro4.thre... | null | tests/PyroTests/test_threadpool.py | test_threadpool.py | py | 3,202 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number"... |
48230478 | import json
from jinja2 import Template, Markup
import boto3
bucketname = "userportfolios"
cdn = "d2c1dleky96i4z"
def lambda_handler(event, context):
data = json.loads(event['body'])['data']
for i in data['education']:
i['summary'] = Markup(i['summary'])
fobj = open('template_{}.html'.format(data... | null | generate_portfolio/lamda_function.py | lamda_function.py | py | 872 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "jinja2.Markup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "jinja2.Template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_n... |
230180417 | #!/usr/bin/env python
######################################################################################################################
# Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# ... | null | source/lambda/layers/python_lambda_layer/shared_util/custom_logging.py | custom_logging.py | py | 2,587 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
... |
297982212 | # This package will contain the spiders of your Scrapy project
#
# Please refer to the documentation for information on how to create and manage
# your spiders.
import scrapy
from twisted.internet import reactor, defer
from scrapy.crawler import CrawlerRunner
from scrapy.utils.log import configure_logging
# from scra... | null | tutorial/tutorial/run_script.py | run_script.py | py | 4,854 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "scrapy_splash.SplashRequest",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "scrapy.utils.log.configure_logging",
"line_number": 125,
"usage_type": "call"
},
{
... |
298172082 | import contextlib
import importlib
import json
import logging
import runpy
import sys
from typing import Any, Iterator, List, Optional, Tuple, Type, cast
import determined as det
from determined import horovod
from determined_common import check
def load_trial_implementation(entrypoint_spec: str) -> Type[det.Trial]:... | null | harness/determined/load/_load_implementation.py | _load_implementation.py | py | 7,543 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.info",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "sys.modules",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "sys.modules.pop",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sys.modules",
"line... |
269462225 | import model
import locate
import analysis
import numpy as np
import matplotlib.pyplot as plt
import tcc_python_scripts.tcc.wrapper as tw
image = np.load('test_image.npy')
lower, upper = 0, 213
image_box, box = [], []
for dim in range(3):
image_box.append(slice(lower, upper))
box.append(slice(lower+10, upper-... | null | test/test_locator.py | test_locator.py | py | 1,949 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "model.NormalModel",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "locate.Locator",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_num... |
578489981 | # -*- coding: utf-8 -*-
import inspect # noqa
import json
import logging
from django.contrib.auth.mixins import UserPassesTestMixin
from django.http import JsonResponse
from django.views import View
from django.views.generic import ListView
from rest_framework import status as http_status
from admin.rdm.utils import... | null | admin/rdm_custom_storage_location/export_data/views/location.py | location.py | py | 9,486 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "admin.rdm.utils.RdmPermissionMixin",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.mixins.UserPassesTestMixin",
"line_number": 28,
"usage_type": "n... |
271416881 | """
Definition of forms.
"""
from django import forms
from django.contrib.auth.forms import AuthenticationForm
from django.utils.translation import ugettext_lazy as _
from multiselectfield import MultiSelectField
class BootstrapAuthenticationForm(AuthenticationForm):
"""Authentication form which uses boostrap CSS... | null | BEOperations/beweb/forms.py | forms.py | py | 4,962 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.auth.forms.AuthenticationForm",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.forms",
"line_number": 12,
"usage_type": "name"
},
{
"... |
557515741 | from def_system import FileDefinition, FolderDefinition, Debug
from rpcbgen_interface import ReprCombGenInterface
import shutil
import json
import sys
import os
debug_level_arg = 9
# ####################################################### ARGS ####################################################### #
mode... | null | backend/model_3_0_scripts/python/libs/rpcbupd_hydrographmultiplesdot.py | rpcbupd_hydrographmultiplesdot.py | py | 14,998 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rpcbgen_interface.ReprCombGenInterface.get_modelcomb_id",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "rpcbgen_interface.ReprCombGenInterface",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type"... |
150478651 | ###########################################
# Autores: Daniel Cay (741066) #
# Javier Fañanás (737987) #
# David Solanas (738630) #
# #
# Fichero: plot_log.py #
# Robótica - Práctica 3 #
############... | null | P3/sample_files/plot_log.py | plot_log.py | py | 1,916 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
199950931 | import numpy as np
import matplotlib.pyplot as plt
import datetime
def get_alphabeth():
return "abcdefghijklmnopqrstuvwxyz"
def read_file(filename):
PATH = "/Users/espenhauglandmaeland/Google Drive/Privat/Skule/Høgskule/Høstsemester 2018/MAT102/Filer til statestikk/"
filecontent = []
f = open(PATH +... | null | Compare_Letters.py | Compare_Letters.py | py | 3,882 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
316690481 | #!/usr/bin/env python
import os
import copy
from unittest.mock import Mock, MagicMock, call
import pytest
from sonic_package_manager.database import PackageEntry
from sonic_package_manager.manifest import Manifest
from sonic_package_manager.metadata import Metadata
from sonic_package_manager.package import Package
f... | null | tests/sonic_package_manager/test_service_creator.py | test_service_creator.py | py | 8,099 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sonic_package_manager.manifest.Manifest.marshal",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sonic_package_manager.manifest.Manifest",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 17,
"usage_type":... |
38974299 | # -*- coding: utf-8 -*-
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
def sign(data, translate):
# transform from 0 to -1, from 255 to 1
# or from -1 to 0, from 1 to 255
temp = np.array(data)
return np.vectorize(lambda x: translate[x])(temp)
def Energy(h, beta, eta, x, y):
... | null | BinaryGraphDenosing/ICM_denosing.py | ICM_denosing.py | py | 2,941 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.vectorize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_num... |
370423978 | from datetime import datetime
import csv
import os.path
def event_handler_write(writer, utc_timestamps, calc_freq_both, calc_freq_1, calc_freq_2):
for i in range(len(calc_freq_both)):
writer.writerow([utc_timestamps[i], calc_freq_both[i], calc_freq_1[i], calc_freq_2[i]])
print("Wrote {} rows\n".format... | null | rec_sample.py | rec_sample.py | py | 1,784 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.path.isfile",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "csv.writer",
"line_... |
37669633 | from PIL import Image
import glob
import imageio
import numpy as np
import os
from util import util
a_path = 'datasets/cityscapes/train_A/00005.jpg'
b_path = 'datasets/cityscapes/train_B/00005.jpg'
# def list_files_in_dir(root_dir, out_filename, recursive=True):
# out_f = open(out_filename, 'w+')
# for file... | null | playground.py | playground.py | py | 1,775 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.iglob",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number... |
42456081 | #!/usr/bin/env python
# coding: utf-8
# # 4. Significance Testing for Continuous Metrics (Bayesian Approach)
# This chapter will discuss a method described by [Kruschke (2013)](https://pdfs.semanticscholar.org/dea6/0927efbd1f284b4132eae3461ea7ce0fb62a.pdf) known as BEST (Bayesian Estimation Supersedes the T-test), wh... | null | _build/jupyter_execute/4_Bayesian_Estimation_Supersedes_The_T_Test.py | 4_Bayesian_Estimation_Supersedes_The_T_Test.py | py | 9,394 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "statistics.stdev",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "numpy.r_",
... |
97866913 | # General LeNet class implementation
# Import necessary packages
from keras.models import Sequential
from keras.layers.convolutional import Conv2D
from keras.layers.convolutional import MaxPooling2D
from keras.layers.core import Activation
from keras.layers.core import Flatten
from keras.layers.core import Dense
from... | null | ConvNet/LeNet.py | LeNet.py | py | 1,942 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.models.Sequential",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "keras.layers.convolutional.Conv2D",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dropout",
"line_number": 28,
"usage_type": "call"
},
{
"ap... |
627602844 | #!/bin/env python
# -*- coding: utf-8 -*-
# @package ABYSS_launch.py
# @author Florian Charriat
"""
The forRNAseq_inPlanta script
=============================
:author: CHARRIAT Florian
:contact: florian.charriat@inra.fr
:date: 21/03/2018
:version: 0.1
Script description
------------------
This program is ... | null | ClusterInra/forRNAseq_inPlanta.py | forRNAseq_inPlanta.py | py | 5,548 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 75,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath"... |
246695110 | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project
# root for license information.
from pathlib import Path
import json
from PIL import Image, ImageOps
from dacite import from_dict
from redact.redaction.image_redaction import ImageRedaction
fr... | null | scripts/redact_cli_py/redact/__init__.py | __init__.py | py | 2,856 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "PIL.ImageOps.exif_transpose",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.ImageOps",
... |
568663838 | # -*- coding: utf-8 -*-
import itertools
import logging
import re
import string
try:
maketrans = str.maketrans
except AttributeError:
maketrans = string.maketrans
try:
ascii_lowercase = str.ascii_lowercase
ascii_uppercase = str.ascii_uppercase
digits = str.digits
except AttributeError:
ascii_lo... | null | reheader/reheader.py | reheader.py | py | 8,314 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "string.maketrans",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "string.ascii_uppercase",
"line_number": 17,
"usage_type": "attribute"
},
{
"api... |
80705331 | #!/usr/bin/python3
import sys
import os
import utils
import pandas as pd
from sklearn.model_selection import train_test_split, cross_val_score, cross_validate
from sklearn.tree import DecisionTreeClassifier
import numpy as np
import argparse
from sklearn.metrics import recall_score, precision_score, accuracy_score
impo... | null | inst_analysis.py | inst_analysis.py | py | 7,119 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.DataFrame",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
24860549 | # -*- coding: utf-8 -*-
"""UPnP client module."""
import abc
import asyncio
import logging
import urllib.parse
from datetime import datetime
from datetime import timezone
from xml.etree import ElementTree as ET
from xml.sax.saxutils import escape, unescape
import voluptuous as vol
NS = {
'soap_envelope': 'http:... | null | async_upnp_client/async_upnp_client.py | async_upnp_client.py | py | 30,496 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "abc.abstractmethod",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "urllib.pa... |
280920422 | import torch
import torchaudio
import os
import random
import numpy as np
import subprocess
from pathlib import Path
from collections import defaultdict
from tqdm import tqdm
import time
from .dataset import Dataset
from scripts.datasets.utils import write_statistics
from utils import random_undersample_balanced
from ... | null | data/audio/magnatagatune.py | magnatagatune.py | py | 7,749 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tqdm.tqdm",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "dataset.Dataset",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "subprocess.call",
"line_num... |
501347985 | from typing import Any, Dict, List, Optional
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.utils.validation import check_is_fitted
class BaselinePreprocessor(BaseEstimator, TransformerMixin):
"""
Base processor for movies classification
"""
def __init__(
... | null | modules/preprocessing/preprocessing.py | preprocessing.py | py | 8,903 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "sklearn.base.TransformerMixin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name":... |
510142506 | from flask import Flask
def create_app():
app = Flask(__name__)
app.config['semesters'] = [{'name': '1st'}, {'name': '2nd'}, {'name': '3rd'}, {'name': '4th'}, {'name': '5th'}, {'name': '6th'}, {'name': '7th'}, {'name': '8th'}]
app.config['branch'] = [{'name': 'CSE'}, {'name': 'IT'}, {'name': 'ECE'}, {'nam... | null | app/__init__.py | __init__.py | py | 616 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "dashboard.dashboard.create_dashboard",
"line_number": 14,
"usage_type": "call"
}
] |
386019111 | """Module is a grouping of Graph API authentication and helper classes."""
import configparser
from typing import Union
import urllib.parse
import logging
import msal
import requests
import saq
from saq.extractors import RESULT_MESSAGE_NOT_FOUND, RESULT_MESSAGE_FOUND
def read_private_key(key_path, **kwargs):
"... | null | lib/saq/graph_api.py | graph_api.py | py | 8,277 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.parse.parse.urljoin",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "urllib.parse",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "msal.... |
16176387 | from django.shortcuts import render, get_object_or_404 , redirect
from django.http import HttpResponse, JsonResponse
from django.contrib.auth import authenticate,login
from django.contrib.auth.forms import UserCreationForm
from .forms import LoginForm , UserRegistrationForm, AddProjectForm,AddTicketForm, SignUpForm,Add... | null | bug/views.py | views.py | py | 10,039 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "forms.LoginForm",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 33,
"usage_type": "call"
},
{
"api_name... |
79560653 | from typing import List
def isLanguage(l: str = "empty") -> bool:
l = l.lower()
if (l == "abyssal" or l == "aquan" or l == "auran" or
l == "celestial" or l == "common" or l == "deep" or
l == "draconic" or l == "druidic" or l == "dwarvish" or
l == "elvish" or l == "giant" ... | null | Server/Utility/Languages.py | Languages.py | py | 1,498 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 26,
"usage_type": "name"
}
] |
12834853 | """
This file starts the 'CARD GAME'
"""
import utils.player
from utils.player import Deck
import utils.card
import utils.game
import random
print("Card Game")
"""
Start the game. You should only run this file to have the game running.
"""
"""ask how many players there are
and their names
"""
players_list = []
num... | null | main.py | main.py | py | 1,291 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.player.Deck.fill_deck",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "utils.player.Deck",
"line_number": 47,
"usage_type": "name"
}
] |
318943935 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 11 14:51:37 2019
@author: ghitafilali
"""
from typing import List, Set
def find_all_letters(dictionnary: List[str]) -> Set[str]:
"""
Finds all the letters used in a dictionnary.
"""
letters_set: Set[str] = set()
for word in di... | null | group/assignment-5/unknown_alphabet_ghita.py | unknown_alphabet_ghita.py | py | 3,103 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Set",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Set",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 22... |
78037437 | # few modules need to be included
# pip install beautifulsoup4
# pip install pillow
# pip install requests
import requests
from bs4 import BeautifulSoup
from tkinter import Label
from tkinter import Tk
from PIL import ImageTk, Image
# weather url
# orlando base location
url = "https://weather.com/weathe... | null | weather app using python.py | weather app using python.py | py | 1,863 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tkinter.Tk",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"lin... |
386181763 | import importlib
import logging
from time import strftime
from cvxopt import mul
from andes import __version__ as version
from ..formats import all_formats
from ..utils import elapsed
logger = logging.getLogger(__name__)
class Report(object):
"""
Report class to store system static analysis reports
"""... | null | andes/variables/report.py | report.py | py | 8,395 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "andes.__version__",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "time.strftime",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "cvxopt.mul",
"l... |
339362661 | from urllib import request
import re
import time
import random
import pymysql
from hashlib import md5
import pymongo
import sys
class CarSpider:
def __init__(self):
self.one_url = "https://www.che168.com/beijing/a0_0msdgscncgpi1lto1csp{}exx0/"
self.headers = {"User-Agent": "Opera/9.80 (Windows NT ... | null | day02/07_carspider.py | 07_carspider.py | py | 3,625 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymysql.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.request.Request",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "urllib.req... |
538032970 | """
A script that provides command-line interface to the
Clock-In-Clock-Out module.
Usage:
./python app.py [-h] [xml_filename SAMPLE.XML] [-s, --start 01-01-2000]
[-e, --end 01-01-2000] [-n, --names]
Required parameters:
xml_filename: - name of the source time-sheet file to query,
Optional paramete... | null | app.py | app.py | py | 2,761 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 41,
"usage_type": "call"
},
{
"api_name"... |
363693459 | import requests,ssl,os
ctx = ssl.create_default_context()
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
url=input("Wordpress XMLRPC Exploit\nMade By Tolesh Kumar Jangid\nEnter the url: ")
type(url)
file_name= url+'.txt'
data = '<?xml version="1.0"encoding="UTF-8"?><methodCall><methodName>wp.getU... | null | wordpress_xmlrpc_exploit.py | wordpress_xmlrpc_exploit.py | py | 946 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ssl.create_default_context",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "ssl.CERT_NONE",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.po... |
6173090 | import sys
import json
import numpy
from math import floor
from typing import Tuple
from PIL import Image
from tuples import Color3, Color4, ChannelConfig
from fmath import *
if len(sys.argv) < 2:
print('Usage: six mask diffuse config')
sys.exit(1)
mask_filename = sys.argv[1]
diffuse_filename = sys.argv[2]
config... | null | six/run.py | run.py | py | 3,455 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 17... |
529074435 | #!/usr/bin/python
# Flash access policy server based on gevent
# Jan-Philip Gehrcke, June 2011
# Listen on port 843; send acess policy to client; disconnect.
from gevent.server import StreamServer
import datetime
import socket
# Should we log something? Where to?
# LOG = 1
#LOGFILE = "flash_access_policy_server.l... | null | classes/crossdomainpolicyserver.py | crossdomainpolicyserver.py | py | 1,885 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "socket.timeout",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "gevent.server.StreamServer",
"line_number": 56,
"usage_type": "call"
}
] |
454210854 | import tqdm
import time
listnya = input('input list : ')
output = input('Output Destination : ')
lists = open(listnya)
cok = set(lists.readlines())
total = len(list(open(listnya)))
print("[+] Found Total {} List".format(str(total)))
print("[+] Start Remove Duplicate ...\n\n")
time.sleep(1)
count = 0
result = listnya.re... | null | remove-duplicate/clean.py | clean.py | py | 564 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
}
] |
211293307 | #!/usr/bin/env python
# from https://raw.githubusercontent.com/widdowquinn/scripts/master/bioinformatics/nucmer_to_crunch.py
#
# nucmer_to_crunch.py
#
# USAGE: Usage: nucmer_to_crunch.py [-h] [-o OUTFILENAME] [-i INFILENAME] [-v]
#
# optional arguments:
# -h, --help show this help message and exit
# -o O... | null | compare_fauzi_bins/support_files/parse_coords.py | parse_coords.py | py | 9,998 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 195,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_... |
610632491 | from twisted.internet import defer
from txredis.testing import CommandsBaseTestCase
class HashCommandsTestCase(CommandsBaseTestCase):
"""Test commands that operate on hashes.
"""
@defer.inlineCallbacks
def test_blank(self):
yield self.redis.delete('h')
yield self.redis.hset('h', 'bla... | null | txredis/tests/client/test_hash.py | test_hash.py | py | 3,955 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "txredis.testing.CommandsBaseTestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "twisted.internet.defer.inlineCallbacks",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "twisted.internet.defer",
"line_number": 10,
"usage_type":... |
270847567 | import tensorflow as tf
import numpy as np
import mnist_data
import os
import vae
import plot_utils
import glob
import sys
import time
import scipy
from sklearn.decomposition import PCA
from skimage.feature import hog
""" parameters """
# combined:
# source activate tensorflow_p36 && pip install pillow && pip install... | null | Monte-Carlo-Attacks/Monte-Carlo-MNIST_CVAE/mc_attack_cvae_sample_size.py | mc_attack_cvae_sample_size.py | py | 11,439 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"... |
165608661 | import os
import sys
import tkinter
from tkinter import Frame, Tk, BOTH, Text, Menu, END
from tkinter.filedialog import Open, SaveAs
import json
import datetime
import numpy as np
import skimage.draw
import cv2
stderr = sys.stderr
sys.stderr = open(os.devnull, 'w')
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
from mrcnn.v... | null | Mask_RCNN_TraiCay_Final.py | Mask_RCNN_TraiCay_Final.py | py | 3,484 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.stderr",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.devnull",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"lin... |
96322565 | from __future__ import print_function
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
#plot Col_ATPT_CPTP
df1 = pd.read_csv('ATPT_CPTD_Freq.csv',names=["Status","Freq"])
df1["Status"] = df1["Status"].str[2:-1]
df1["Status"][0] = "Null"
df1["Freq"] = df1["Freq"].str[:-1].astype(int)
y_pos1 = np.... | null | part1_yc1228/Plot.py | Plot.py | py | 2,637 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",... |
77134489 | from opal.core import metadata
from lab.models import LabTest
from opal.core.schemas import serialize_model
class LabTestMetadata(metadata.Metadata):
slug = "lab_test"
@classmethod
def to_dict(klass, **kw):
result = {klass.slug: []}
for lab_test in LabTest.list():
serialised ... | null | lab/metadata.py | metadata.py | py | 551 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "opal.core.metadata.Metadata",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "opal.core.metadata",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "lab.models.LabTest.list",
"line_number": 13,
"usage_type": "call"
},
{
"api_nam... |
480961505 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.proxy import Proxy, ProxyType
from bs4 import BeautifulSoup
from fake_useragent import UserAgent
import pandas as pd
import time
def get_all_niche_party_schools():
for i in range(1,65):
drive... | null | scraper.py | scraper.py | py | 8,447 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSo... |
449395341 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# File name :
# Author :
# Date created :
# Date last modified :
# Python Version : 3.*
import os
from django.shortcuts import render, get_object_or_404, redirect
from django.conf import settings
from django.utils.decorators import method_d... | null | views/admin.py | admin.py | py | 2,378 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "base.BaseView",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.utils.decorators.method_decorator",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "utils.requires_auth",
"line_number": 22,
"usage_type": "argument"
},
{
"ap... |
420092132 | import os
import pandas as pd
import time
import re
from flask import Flask, Response
from flask import url_for, redirect
app = Flask(__name__)
def stream_template(template_name, **context):
app.update_template_context(context)
t = app.jinja_env.get_template(template_name)
rv = t.stream(context)
rv.e... | null | hackathon2017/app.py | app.py | py | 1,809 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 32,
... |
634722400 | import typing
from podcast.models import CancelledStatus
from podcast.models import Channel
from podcast.models import ChannelInfo
from podcast.models import DeletedStatus
from podcast.models import FinishedStatus
from podcast.models import NewStatus
from podcast.models import Podcast
from podcast.models import Podcas... | null | tests/util/factory.py | factory.py | py | 3,325 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "podcast.models.ChannelInfo",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "podcast.models.ChannelInfo",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_na... |
26068770 | from collections import defaultdict, namedtuple
import re
Dest = namedtuple('Dest', ['t', 'id'])
def get_low_high(v1, v2):
return min(v1, v2), max(v1, v2)
bot_re = re.compile(r"bot (\d+) gives low to (bot|output) (\d+) and high to (bot|output) (\d+)")
value_re = re.compile(r"value (\d+) goes to bot (\d+)")
# Ha... | null | day10/solve.py | solve.py | py | 2,056 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
... |
429878493 | import numpy as np
import pandas as pd
from sklearn.model_selection import StratifiedShuffleSplit
def read_x_y():
fruits = pd.read_table('fruit_data_my.txt')
X = fruits[['mass', 'width', 'height', 'color_score']] #dataframe 4 columns
y = fruits['fruit_label'] #series = 1 column... | null | data_science/7_kaggle/cookbook/1_cross_validation/2_full_working_cross_validation.py | 2_full_working_cross_validation.py | py | 1,306 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_table",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.Stra... |
634817068 | import pytest
import os
import pandas as pd
from boto3 import client
from moto import mock_s3
from finanzen_base.Utils.extract_filename import extract_filename
from EntgeltUtils.app import App
@pytest.fixture
def aws_credentials():
"""Mocked AWS Credentials for moto."""
os.environ["AWS_ACCESS_KEY_ID"] = "te... | null | tests/test_integration.py | test_integration.py | py | 2,388 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"lin... |
638346564 | #!/usr/bin/env python3
import logging
import networkx as nx
import pydot
import itertools
from scipy import interpolate
import utils
def add_node_attribute_to_graph(graph, attribute_name, dictionary):
nx.set_node_attributes(graph, name=attribute_name, values=dictionary)
def add_node_attribute_to_subgraphs(sub_g... | null | graph.py | graph.py | py | 7,724 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "networkx.set_node_attributes",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pydot.graph_from_dot_file",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "utils.to_int",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "l... |
203978355 | import requests
session = requests.session()
def voidTraderInfo():
traderInfo = session.get("https://api.warframestat.us/pc/voidTrader").json()
traderLocation = traderInfo['location']
traderActive = traderInfo['active']
traderTillActive = traderInfo['startString']
traderTillLeave = traderInfo['en... | null | baroData.py | baroData.py | py | 1,780 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.session",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "main.Start",
"line_number": 59,
"usage_type": "call"
}
] |
6363941 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 27 16:09:54 2020
@author: Seo
"""
import pyqtgraph as pg
import pyqtgraph.opengl as gl
from PyQt5.QtCore import Qt, QRectF
import numpy as np
import matplotlib.pyplot as plt
from signalCreationRoutines import makeFreq
from matplotlib import cm
from pyqtgraph.graphicsIte... | null | plotRoutines.py | plotRoutines.py | py | 4,853 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pyqtgraph.mkPen",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.Qt.DashLine",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCor... |
452702300 | import sys
import pygame
from hero import Hero
def run_game():
# Initialize game, settings, and screen object.
pygame.init()
screen = pygame.display.set_mode((800, 600))
bg_color = (191, 228, 251)
pygame.display.set_caption("Blue Sky")
# Instantiate a hero
hero = Hero(screen)
while ... | null | python_crash_course/12_a_ship_that_fires_bullets/12-1_blue_sky.py | 12-1_blue_sky.py | py | 633 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
112003279 | import socket
import threading
import pyDes
from time import time
from hashlib import sha256
from getpass import getpass
from base64 import b64encode
from base64 import b64decode
class ClientConn(threading.Thread):
def __init__(self, conn, id, K_s):
self.conn = conn
self.conn.settimeout(3)
self.id = id
self.... | null | T04/service.py | service.py | py | 3,878 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "socket.timeout",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "base64.b64decode",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "base64.b64... |
622850165 | import logging
import emoji
import urwid
import subprocess
import ast
import gc
import os
import pyttsx3
from datetime import datetime
from ansi_management import (warning, success, error, info, clear_screen, bold,
yellow, muted, cleanfloat)
from data import (btc_price_data, data_tor, data_... | null | dashboard.py | dashboard.py | py | 12,435 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "node_warden.load_config",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "node_warden.basedir",
"line_number": 25,
"usage_type": "argument"
},
{
"api_name": "os.path"... |
218978381 | from tools import *
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import neighbors
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error
from math import sqrt
from sklearn.model_selection import train_test_split
import numpy as np
import matplotlib.pyplot ... | null | knn_regression.py | knn_regression.py | py | 3,891 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 39,
"usage_type": "call"
},
{
"ap... |
243281922 | """
This code is partially derived from
https://www.pyimagesearch.com/2016/10/03/bubble-sheet-multiple-choice-scanner-and-test-grader-using-omr-python-and-opencv/
"""
import cv2
import numpy as np
import imutils
from imutils import contours
colors = [
(255,255,0),
(255,0,0),
(0,255,0),
(0,255,255),
]
... | null | src/electronics/teardowns/multiple_choice_test_omr/test1.py | test1.py | py | 3,979 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "cv2.threshold",
"... |
296497275 | import datetime
import re
from csv import DictReader
from datetime import date
from typing import List
class Weather:
"""Weather class."""
date: datetime.date
description: str
temperature_max: float
temperature_min: float
rainfall: float
snowfall: float
def __init__(self, date: datet... | null | Homework4/assignment_4_3.py | assignment_4_3.py | py | 5,900 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.date",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "datetime.date",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.List",
"lin... |
71651797 |
import numpy as np
import pandas as pd
from intervaltree.intervaltree import IntervalTree
from general.utils import Data
def event_confusion_matrix2(r_activities, p_activities, labels):
cm = np.zeros((len(labels), len(labels)))
predicted = [p for i, p in p_activities.iterrows()]
real = [p for i, p in r_... | null | metric/event_confusion_matrix2.py | event_confusion_matrix2.py | py | 1,942 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.to_timedelta",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "intervaltree.intervaltree.IntervalTree",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": ... |
587220086 | # -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import requests
import pickle
from itertools import cycle
import time
proxies = {
'http://162.144.220.192:80',
'http://167.215.240.121:5137',
'http://159.203.91.6:8080',
'http://157.230.232.130:80',
}
proxy_pool... | null | FlipKart.py | FlipKart.py | py | 3,988 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.cycle",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line... |
422389903 | import json
'''
Success:
au
ro
vg
es (10000 rows)
no (10000 rows)
Fail:
ch
is
lv
'''
jsonList = []
with open('no.geojson') as f:
count = 0
for line in f:
jsonList.append(json.loads(line)['properties'])
count = count + 1
if (co... | null | DataImport.py | DataImport.py | py | 830 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 22,
"usage_type": "call"
}
] |
142106520 | from functools import reduce
from fuzix.draw_utils import draw_circle
from fuzix.draw_utils import draw_line
from fuzix.draw_utils import draw_rect
from fuzix.utils import do_render_animation
from fuzix.utils import RendererWidget
from fuzix.utils import timed
from IPython.display import display
from ipywidgets import ... | null | fuzix/scene.py | scene.py | py | 14,798 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sympy.Symbol",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sympy.physics.mechanics.dynamicsymbols",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sympy.sympify",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sym... |
619579515 | from constants import *
from info.resources import METAL, CRYSTAL, DEUTERIUM, ENERGY
import re
import time
import datetime
import threading
import logging
logger = logging.getLogger('ogame_bot.buildings.queue')
class BuildQueue(threading.Thread):
def __init__(self, planet):
threading.Thread.__init__(sel... | null | buildings/queue.py | queue.py | py | 4,856 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "thr... |
4778367 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
##################################
###Import original data
###Basic sample information
data_file_path = 'C:/Users/htian/Desktop/book in reading/WVU Share facility data/Bruker XRD data2.txt'
## read using ";" as seperator, and delete ","
... | null | Cu MOF SAXS.py | Cu MOF SAXS.py | py | 2,228 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_table",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 73,
"usage_type": "name"
},
{
"api_name": "matplotl... |
564031101 | import os.path
import gc
from hashlib import sha1
from itertools import chain
import msgpack
from dawg import BytesDAWG
NAMES_DAWG = BytesDAWG().load(
os.path.join(os.path.dirname(__file__), 'dict.dawg'))
def batch_request(names):
"""
Map all name fragments in the array to name hashes.
Takes an arr... | null | hasher.py | hasher.py | py | 1,551 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dawg.BytesDAWG",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line... |
596102493 | # coding: utf8
import nltk
import pymorphy2
from tokenize1 import *
import os
from os import listdir
from os.path import isfile, join
from operator import itemgetter
from json2html import *
from gluon.serializers import json
import collections
# json structure
# poem:
# info: author (name, family), text (title, group_... | null | controllers/json.py | json.py | py | 5,419 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.OrderedDict",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "json2html.convert",
"line_number": 50,
"usage_type": "call"
}
] |
446801889 | from flask import Flask
from flask import render_template, request, redirect, jsonify
from tictactoe import TicTacToe
from minesweeper import Minesweeper
app = Flask(__name__, template_folder='')
app.config['SEND_FILE_MAX_AGE_DEFAULT'] = 0
app.config['debug'] = True
tictactoe = TicTacToe()
minesweeper = Minesweeper()
... | null | application.py | application.py | py | 2,496 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tictactoe.TicTacToe",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "minesweeper.Minesweeper",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_te... |
466515790 | import os
import sys
sys.path.insert(0, os.getcwd())
import unittest
from model import *
import torch
from torch import nn
class Test(unittest.TestCase):
def test_metakernel(self):
x = torch.rand(4, 3, 64, 64)
conv = Conv2dMetaKernel(3, 4, [1,3,5], stride=1)
y = conv(x)
loss = y.m... | null | ednas/tests/test_model.py | test_model.py | py | 1,334 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_nu... |
492660723 | import sys
from functools import reduce
input = lambda: sys.stdin.readline().rstrip()
T = int(input())
def loserSearch(avr, scores):
temp = 0
for score in scores:
if (avr < score):
temp += 1
return temp
while T > 0:
n, *scoreList = map(int, input().split())
avrScore = reduce... | null | 백준 단계별로 풀어보기/[1차원 배열] 백준 4344 - 평균은 넘겠지.py | [1차원 배열] 백준 4344 - 평균은 넘겠지.py | py | 460 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.stdin.readline",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "functools.reduce",
"line_number": 18,
"usage_type": "call"
}
] |
301041410 | import time
import argparse
import pprint
import json
import re
import os
## Constants
DEFAULT_DEBUG_LOG_FILE_PATH = "debug.log"
DEFAULT_DEBUG_LOG_OUT_PATH = "debug_parsed.json"
KEY_PROCESS_VERSIONS = "process.versions"
KEY_RAISE_MANY_EVENTS = "raise-many-events"
KEY_CREATE_APPLICATION = "create-application"
KEY_CLOS... | null | diagnostics_parser.py | diagnostics_parser.py | py | 14,952 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "os.path",
"line... |
395232048 | #!python3
#encoding:utf-8
import requests
import urllib.parse
import json
import datetime
import web.http.Paginator
import web.service.github.api.v3.Response
import web.log.Log
class Issues:
def __init__(self, reqp, response, authData, repo):
self.__reqp = reqp
self.__response = response... | null | web/service/github/api/v3/issues/Issues.py | Issues.py | py | 5,284 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
55474532 | #!/usr/bin/env python
"""Mobster is a command-line tool for profiling remote WebKit-based browsers via the
WebKit remote debugging protocol. This script provides a simple way to use the tool
to profile a single page and generate a HAR file containing the results"""
##
import os, sys
sys.path.insert(0, os.path.abspat... | null | mobster/bin/mobster.py | mobster.py | py | 2,546 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
650301149 | import requests
from bs4 import BeautifulSoup
import re
from selenium import webdriver
url = 'http://www.stats.gov.cn//tjsj/zxfb/index.html'
browser = webdriver.Chrome()
browser.get(url)
browser.implicitly_wait(10)
page = browser.page_source
soup = BeautifulSoup(page,'html.parser')
infos = soup.find('ul',{'class':'ce... | null | spider/实验区/实验区3.py | 实验区3.py | py | 1,117 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.match... |
363879289 | from collections import defaultdict, OrderedDict
from glob import glob
from os.path import splitext, basename
import toml
from bottle import Bottle, view, redirect
from src.common.utils import md_page, title_to_page_name
SPELLS = None
SPELLS_BY_LEVEL = None
def init(cfg):
pass
def load_spells():
global ... | null | src/onednd/endpoints.py | endpoints.py | py | 2,300 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "toml.loads",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict"... |
200922565 | from flask import Flask, render_template, jsonify, request,session,redirect,url_for
from models import *
from flask_socketio import SocketIO, join_room, leave_room
import os
#duong link anh
PEOPLE_FOLDER = os.path.join('static', 'img')
app = Flask(__name__)
# app.config["SQLALCHEMY_DATABASE_URI"] = r"postgres://qgora... | null | Register/application.py | application.py | py | 7,311 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_socketio.SocketIO",
"lin... |
307487109 | import networkx as nx
G = nx.DiGraph()
G.add_nodes_from([1,2,3,4,5])
G.add_edges_from([(1,2),(1,3),(2,4),(4,3),(5,1), (5,1),(5,1)])
# G.node[1]['type'] = ['juicy', 'crunch']
G.node[2]['type'] = 'sour'
G.node[3]['type'] = 'bitter'
G.node[4]['type'] = 'juicy'
# print G.node[1]['type']
print ['juicy', 'crunch']
nx.w... | null | Graph/test.py | test.py | py | 360 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "networkx.DiGraph",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "networkx.write_gexf",
"line_number": 16,
"usage_type": "call"
}
] |
260996557 | from flask import request
from flask import abort, flash, redirect, render_template, url_for
from src.blueprint import bp_admin as admin
from src.core.config import load_json_config, save_json_config
from src.core.helpers import split_hashtags_into_list
@admin.route("/")
def index():
abort(404)
@admin.route("/... | null | src/blueprint/admin.py | admin.py | py | 1,972 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.abort",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "src.blueprint.bp_admin.route",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "src.blueprint.bp_admin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "src.cor... |
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