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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
437048758 | from rest_framework import serializers
from api.models import User, Party, Track
__author__ = 'agusx1211'
class AccountSerializer(serializers.ModelSerializer):
class Meta:
model = User
fields = ('user_name', 'spotify_id', 'email', 'last_token_spotify', 'account_type')
class UserSerializer(seria... | null | api/serializers.py | serializers.py | py | 1,732 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "api.models.User",
"line_number": 9,
"usage_type": "name"
},
... |
67920998 | # IR Temperature sensor
import serial
from sensor import Sensor
class PulseOx(Sensor):
"""Pulse Oximeter Sensor."""
PORT='/dev/ttyUSB0'
def __init__(self):
Sensor.__init__(self)
self.have_serial = False
try:
self.ser = serial.Serial(port=self.PORT, baudrate=115200, tim... | null | pulseox_sensor.py | pulseox_sensor.py | py | 1,036 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sensor.Sensor",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "sensor.Sensor.__init__",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sensor.Sensor",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "serial.Serial",
... |
131754107 | import numpy as np
from numpy import linalg as nplg
import matplotlib.pyplot as plt
from KCollisions.KNewOrbit import *
import timeit
from numba import jit, int32,float64
import cProfile
import re
#Units
Mstar = 1.2e30
au = 1.496e11
year = 3.154e+7
#Setup
x='a'
a1=2*au
e1=0.99
s1=0
a2=2.1*au
e2=0.993
s2=2
dfSize = 1 ... | null | Masters/Old/TimeEvolutionOld1.py | TimeEvolutionOld1.py | py | 9,351 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_nu... |
73475634 | import torch
import torch.nn as nn
class ResNetBlock(nn.Module):
#定义残差模块
def __init__(self, input_channel, channel_in, stride = 1, downsampling = False, expansion = 4):
#初始化downsampling表示是非该模块有下采样操作，expansion表示通道数膨胀多少倍
super(ResNetBlock, self).__init__()
self.expansion = expansion
... | null | model.py | model.py | py | 3,194 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
414936085 | from pymongo import MongoClient
from collections import defaultdict
from time import time
import json
# MongoDB 접속
host = "localhost"
port = "27017"
client = MongoClient(host, int(port))
db = client['lol_matchdata']
collection = db['matchdata']
# 분석에 사용할 Feature
col_names = ['kills', 'deaths', 'assists', 'champlevel'... | null | test.py | test.py | py | 6,193 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "json.dump",
... |
21234272 | from django.conf.urls import patterns, include, url
from django.contrib import admin
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'myproject.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
url(r'^admin/', include(admin.site.urls)),
url(r'^pages', 'ContentAappBarraPunto.vi... | null | project/project/urls.py | urls.py | py | 526 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.include",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "... |
634831131 |
"""
Creates a plugin that is composed of a new window with a text field (QLabel)
The plugin hooks into updateMainWindowOnMouseMove and gets the X and Y
position of the mouse in the current axes each time this method is run.
This information is then displayed on the screen.
"""
from lasagna_plugin import lasagna_... | null | tutorialPlugins/infoBox_plugin.py | infoBox_plugin.py | py | 2,755 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lasagna_plugin.lasagna_plugin",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QWidget",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtGui",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "in... |
427670086 | from uber_rides.session import Session
from uber_rides.client import UberRidesClient
from pprint import pprint
import requests
class Uber:
def __init__(self, serverToken):
self._serverToken = serverToken
self._baseUrl = 'https://api.uber.com/v1.2'
@property
def baseUrl(self):
retur... | null | Uber/Uber.py | Uber.py | py | 1,335 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "uber_rides.session.Session",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "uber_rides.client.UberRidesClient",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_nam... |
124127423 |
## Copyright 2015-2021 PyPSA Developers
## You can find the list of PyPSA Developers at
## https://pypsa.readthedocs.io/en/latest/developers.html
## PyPSA is released under the open source MIT License, see
## https://github.com/PyPSA/PyPSA/blob/master/LICENSE.txt
"""Functionality to help with georeferencing and cal... | null | pypsa/geo.py | geo.py | py | 3,388 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.deg2rad",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.deg2rad",
"li... |
87889175 | import sys
import numpy as np
import cv2
import math
from net import *
import torchvision.transforms as transforms
import torch
from torch import nn, optim
from torch.backends import cudnn
from torch.autograd import Variable
from PIL import Image
import os
#寻找暗通道
def DarkChannel(im,sz):
b,g,r = cv2.split(im)
d... | null | pre_trans.py | pre_trans.py | py | 3,628 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.split",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.min",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.getStructuringElement",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.MORPH_RECT",
"lin... |
354420936 | from pathlib import Path
from urllib import request
from urllib.error import URLError
import yaml
import numpy as np
import torch
from torch.utils.data import DataLoader
from torchvision.transforms import Compose, Resize, Normalize
from scipy.interpolate import interp1d
from data.data_utils import suggest_metadata
fr... | null | model/videopose3d.py | videopose3d.py | py | 9,720 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "model.estimator_3d.Estimator3D",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "yaml.load",
... |
140192967 | import json
import base64
import io
import asyncio
import websockets
import cv2
import numpy as np
class WebSocketsOpencvServer:
"Burada ki amaç şudur raspberry pi den geliştirğidiğimiz bu kütüphane sayesinde websockets üzerinden" \
"verillerimizi aktararak kablosuz bağlantı sayesinde mobil ve bilgisayar üzer... | null | Image Operations(OpenCv Operation)/websockets-flask-opencv/webSocketsOpencvServer.py | webSocketsOpencvServer.py | py | 7,701 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.destroyAllWindows",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "websockets.serve",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "websockets.recv",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "cv2.imencode",... |
46792030 | import pathlib
from bs4 import BeautifulSoup
from selenium import webdriver
url = 'https://www.leagueofgraphs.com/champions/runes/kaisa'
dir_path = pathlib.Path(__file__).parent.absolute()
javascript_file = open(f"{dir_path}/js/html2canva.min.js", "r").read()
javascript_script = (
'html2canvas(document.querySelec... | null | services/scrapper_league_of_graphs.py | scrapper_league_of_graphs.py | py | 748 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 17,
"usage_type": "name"
}
] |
232922102 | import MySQLdb
import discord
fruits = ["apple"]
db = MySQLdb.connect(
host = 'localhost',
user = 'data',
passwd = 'pass',
db = 'base'
)
cursor = db.cursor()
cursor.execute
def getAllRows():
cursor.execute('SELECT nickname, kills FROM users ORDER BY kills DESC')
result... | null | discordbot.py | discordbot.py | py | 1,854 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "MySQLdb.connect",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "discord.Client",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "discord.Embed",
"line_number": 54,
"usage_type": "call"
}
] |
357350919 | import os
from os import listdir
from os.path import isfile, join, isdir
from pathlib import Path
import concurrent.futures
def split_all_files(source):
linesPerFile = 1000000
filename = 1
resultfiles = []
newfolder = join(os.path.dirname(source), Path(source).stem)
if not os.path.exists(newfolder... | null | splitfile.py | splitfile.py | py | 1,512 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_nu... |
86147060 | from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
# implement the default mpl key bindings
from matplotlib.backend_bases import key_press_handler
import sys
if sys.version_info[0] < 3:
import Tkinter as Tk
else:
import tkinter as Tk
root = Tk.Tk()
#\/#\/#
from matplotlib.figure import Figure
import... | null | smoothing/gaussian_filtering.py | gaussian_filtering.py | py | 1,535 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Tk",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "imread.imread",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "mahotas.colors.rgb2gray... |
539291568 | from selenium import webdriver
from time import sleep
from json import *
a = []
options = webdriver.ChromeOptions()
options.add_argument('headless')
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
# enable browser logging
d = DesiredCapabilities.CHROME.copy()
d['goog:loggingPrefs'] = {'... | null | final.py | final.py | py | 1,800 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.desired_capabilities.DesiredCapabilities.CHROME.copy",
"line_numb... |
73413673 | #!/usr/bin/env python
'''
Function that takes the optical flow and associated (x,y) coordinates
and calculates the descriptor
'''
import yaml
import numpy as np
import scipy, scipy.stats
import pdb
import rospy
def build_grid_descriptor(x, y, vx, vy):
###### Read .yaml & set parameters #######
descriptor_stat... | null | src/descriptor_building.py | descriptor_building.py | py | 1,009 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rospy.get_param",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "rospy.get_param",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "rospy.get_param",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rospy.get_param",
... |
463840573 | import logging
import time
import uuid
from typing import List
import furl
import esia_client
from esia_client import Scope
logger = logging.getLogger(__name__)
__all__ = ['AsyncAuth', 'AsyncUserInfo', 'AsyncEBS']
class AsyncUserInfo(esia_client.UserInfo):
async def _request(self, url: str) -> dict:
"... | null | esia_client/async_client.py | async_client.py | py | 6,271 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "esia_client.UserInfo",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "esia_client.utils.make_async_request",
"line_number": 32,
"usage_type": "call"
},
{
"... |
243674694 | import zipfile
import os
def unzip(input_directory, output_directory):
##directory = '/home/research/datasets/dun-bradstreet/'
for file_name in os.listdir(input_directory):
if '.zip' in file_name:
print(file_name)
zip_ref = zipfile.ZipFile(input_directory+file_name, 'r')
zip_ref.extractall(output_director... | null | dunn_bradsheet/main/unzip_files.py | unzip_files.py | py | 526 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 9,
"usage_type": "call"
}
] |
484825348 | #!/usr/bin/python3
"""
Downloads latest model run from NOAA, concatenates csv files into
Pandas dataframe. Extracts only Pinellas County sites. Builds unique
list of sites from main dataframe and uses this to build the geoJSON
for each site. As we're building the feature we query the main data_frame
for all entries mat... | null | app/static/python/map_utils/test_harvest.py | test_harvest.py | py | 2,072 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wget.download",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 49,
"usage_type": "call"
}
] |
314427969 | """study for SVM."""
from sklearn import datasets
from sklearn import model_selection as ms
from sklearn import metrics
import numpy as np
import cv2
import matplotlib.pyplot as plt
X, y = datasets.make_classification(
n_samples=100, n_features=2, n_redundant=0, n_classes=2, random_state=7816)
plt.scatter(X[:, 0], ... | null | python-test/test17.py | test17.py | py | 1,411 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.datasets.make_classification",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 10,
"usage_type": "call"
},
{
"api... |
176503627 | import matplotlib.pyplot as plt
import numpy as np
from tick.base import TimeFunction
from tick.plot import plot_timefunction
T = np.array([0, 3, 5.9, 8.001], dtype=float)
Y = np.array([2, 4.1, 1, 2], dtype=float)
tf_1 = TimeFunction((T, Y), dt=1.2)
tf_2 = TimeFunction((T, Y), border_type=TimeFunction.BorderContinue,... | null | doc/modules/code_samples/plot_time_function.py | plot_time_function.py | py | 754 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tick.base.TimeFunction",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tick.base.TimeFunction",
... |
176733004 | import cv2
import numpy as np
# images = []
# paths = ['res/cars/Cars1.png',
# 'res/cars/Cars2.png',
# 'res/cars/Cars3.png',
# 'res/cars/Cars4.png',
# 'res/cars/Cars5.png']
#
# for path in paths:
img = cv2.imread('res/cars/Cars2.png')
kernel = np.ones((5, 5), np.uint8)
gray = cv2... | null | gen.py | gen.py | py | 791 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_numbe... |
79586220 | import requests
BASE_URL = 'https://shapeshift.io/%s'
def _shapeshift_get_request(url_path):
url = BASE_URL % url_path
response = requests.get(url)
return response.json()
def get_coins():
return _shapeshift_get_request('getcoins')
def get_rate(input_coin, output_coin):
url_path = "rate/{}_{}".... | null | Plant_Coin/shapeshift.py | shapeshift.py | py | 3,411 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 52,
"usage_type": "call"
}
] |
601983850 | # Program to convert text with ANSI escape sequences to HTML.
#
# Author: Peter Odding <peter@peterodding.com>
# Last Change: May 18, 2017
# URL: https://coloredlogs.readthedocs.io
"""Convert text with ANSI escape sequences to HTML."""
# Standard library modules.
import codecs
import os
import pipes
import re
import ... | null | home--tommy--mypy/mypy/lib/python2.7/site-packages/coloredlogs/converter.py | converter.py | py | 11,117 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "re.MULTILINE",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "re.UNICODE",
"line_number... |
254769552 | # Copyright © 2019 National Institute of Advanced Industrial Science and Technology （AIST）. All rights reserved.
from pathlib import Path
from injector import singleton
import json
from datetime import datetime
import os
import shutil
import werkzeug
from zipfile import ZipFile
import docker
from docker.errors import I... | null | src/integration-provider/qai_testbed_integration_provider/usecases/deploy_dag.py | deploy_dag.py | py | 9,484 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "qlib.utils.logging.get_logger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.environ"... |
380545194 | import discord
import asyncio
import re
import json
import time
jsonf = open("Settings_Mudae.json")
settings = json.load(jsonf)
jsonf.close()
#Settings
kakera_wall = {}
token = settings["token"]
mudae = 432610292342587392
channelid = settings["channel_id"]
multiids = settings["multichannel"]
claim... | null | Mudaebot.py | Mudaebot.py | py | 11,326 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 28,
... |
376302737 | from __future__ import absolute_import
import functools
import hashlib
import itertools
import logging
import uuid
from collections import OrderedDict
from datetime import datetime, timedelta
import pytz
from mock import patch
from sentry import eventstream, tagstore
from sentry.app import tsdb
from sentry.models im... | null | tests/snuba/tasks/test_unmerge.py | test_unmerge.py | py | 20,318 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sentry.similarity._make_index_backend",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sentry.utils.redis.clusters.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sentry.utils.redis.clusters",
"line_number": 35,
"usage_type": "att... |
543695741 | import pygame
class gap(pygame.sprite.Sprite):
def __init__(self, pos):
super().__init__()
self.screen_info = pygame.display.Info()
self.size = (self.width, self.height) = (int(self.screen_info.current_w), int(self.screen_info.current_h))
self.image = pygame.Surface((1, self.height ... | null | gap.py | gap.py | py | 539 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.sprite",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.Info",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surfac... |
176939927 | import datetime
import logging
from .config import get_config
from .interval import WeatherInterval
from .status import Status
log = logging.getLogger(__name__)
class WeatherForecast:
"""
A class requesting and containing data from the API
Attributes:
status : Status
contains the status cod... | null | data_types/forecast.py | forecast.py | py | 12,844 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "status.Status",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "config.get_config",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
... |
330560365 | '''
Implémentation de VGG19: https://arxiv.org/pdf/1409.1556.pdf
'''
import torch.nn as nn
class ConvBlock(nn.Module):
'''
Construction d'un bloc de convolutions
'''
def __init__(self, size, in_features, out_features):
super(ConvBlock, self)._... | null | Architectures/VGG.py | VGG.py | py | 2,639 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
349463985 | import copy,json
from django.conf.urls import url
from django.shortcuts import HttpResponse, render, redirect
from django.utils.safestring import mark_safe
from django.urls import reverse
from django.http import QueryDict
from django.db.models import Q
from pure_pagination import Paginator, EmptyPage, PageNotAnInteger
... | null | stark/service/v1.py | v1.py | py | 23,525 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "copy.deepcopy",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "django.utils.safestring.mark_safe",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "... |
308558620 | """Metrics to assess performance on regression task, tending existing sklearn interface
Functions named as ``*_score`` return a scalar value to maximize: the higher
the better
Function named as ``*_error`` or ``*_loss`` return a scalar value to minimize:
the lower the better
"""
# Authors: Di Chen <chenditc@gmail.co... | null | sklearn_metric_ext.py | sklearn_metric_ext.py | py | 2,581 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.metrics.regression._check_reg_targets",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "numpy.average",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": ... |
512626891 | import math
import numpy as np
from matplotlib import pyplot as plt
from numpy.linalg import inv
def appendedX(degree, X):
Xappended = X
for i in range(2, degree + 1): #it starts with 2 since for deg>=2 we dont want redundant 1st column
extrafeat = (X[:, 1] ** i).reshape(Xappended.shape[0], 1)
... | null | Assignment3/1c-poly.py | 1c-poly.py | py | 4,955 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random.random",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"l... |
89802192 | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
from copy import deepcopy as c
def clones(module, N):
"Produce N identical layers."
return nn.ModuleList([c(module) for _ in range(N)])
def attention(query, key, value, mask=None, dropout=None):
"Compute 'Scaled Dot Product Att... | null | model/attention.py | attention.py | py | 2,445 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.ModuleList",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.matmul",
"line_numb... |
250719983 | import csv
import sys
import multiprocessing as mp
# counts number of masses in file
with open(sys.argv[1]) as row_count:
counter = csv.reader(row_count)
num_masses = 0
for x in counter:
num_masses += 1
# appends each mass to a list
with open(sys.argv[1]) as input_tier:
reader = csv.reader(in... | null | Python/protein_tree/parallel_process.py | parallel_process.py | py | 1,301 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": ... |
647970842 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('employee', '0008_attendance_incoming_employee_id'),
]
operations = [
migrations.AlterModelOptions(
name='attenda... | null | employee/migrations/0009_auto_20150326_1552.py | 0009_auto_20150326_1552.py | py | 661 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterModelOptions",
"line_number": 14,
"usage_type": "call"
... |
456017016 | import logging
import json
import random
import string
from django.shortcuts import render
from django.views import View
from django_redis import get_redis_connection
from django.http import HttpResponse, JsonResponse
from users import models
from utils.yuntongxun.sms import CCP
from verifications.forms import CheckI... | null | apps/verifications/views.py | views.py | py | 5,413 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.views.View",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "utils.captcha.captcha.captcha.generate_captcha",
"line_number": 34,
"usage_type": "call"
},
{
... |
78790516 | from torch.utils.data import Dataset
import numpy as np
import math
import torch
import matplotlib.pyplot as plt
class AdsCFT(Dataset):
print('数据生成中...')
def __init__(self, data_type='train', alpha=4, size=2000, a_1=1.5, b_1=0.2, split=1):
self.data_type = data_type
self.size = size
s... | null | dataset_10_layers.py | dataset_10_layers.py | py | 5,201 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.transpose",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
547797659 | import numpy as np
from PIL import Image
with open('text/icdar_2019_art.txt') as f:
# for annotation_line in f.readlines()[3616:3648]:
for annotation_line in f.readlines()[3635:3636]:
line = annotation_line.split()
print(line[0])
image = Image.open(line[0])
image_width, image_he... | null | text/test_annotations.py | test_annotations.py | py | 1,345 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 13,... |
496944513 | import warnings
from django.template import Variable, Library, Node, TemplateSyntaxError,\
VariableDoesNotExist, TemplateIfParser
from django.template.loader import render_to_string
from django.contrib.auth.models import User
from django.contrib.contenttypes.models import ContentType
from django.core.urlresolvers ... | null | actstream/templatetags/activity_tags.py | activity_tags.py | py | 9,896 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.Library",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "actstream.models.Follow.objects.is_following",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "actstream.models.Follow.objects",
"line_number": 17,
"usage_type": "... |
105184105 | from openpyxl import load_workbook
import telebot
from telebot import types
from os import walk
import os
token=os.environ.get('data_token', None)
delivery=["Москва","Обнинск","РАНХиГС","РЭУ","РНИМУ","Бауманка","ПМГМУ","РГУ им. Косыгина","РУДН"]
base_path="catalog/"
electronic=base_path+"Электронные сигарет... | null | main.py | main.py | py | 10,247 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_nu... |
543467775 | # --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Jiasen Lu, Jianwei Yang, based on code from Ross Girshick
# --------------------------------------------------------
from __future__ import absolute_import
from __... | null | extract_general_features.py | extract_general_features.py | py | 15,343 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.float32",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "numpy.min",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number"... |
5279901 | from comet_ml import Experiment
from AFSLogin import init_token, API_KEY
import logging
import numpy as np
from utils.args import get_parser, print_args
from utils.hypertune_utils import (
combine_namedtuple, get_dict_and_info,
get_dataset, hyperparam_tuning, get_hyperparam_setttings)
import multiprocessing
m... | null | main_residual_moe.py | main_residual_moe.py | py | 8,099 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "multiprocessing.set_start_method",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "... |
494596961 | import glob
import tensorflow as tf
from PIL import Image as im
import numpy as np
import matplotlib.pyplot as plt
from scipy.misc import imsave
directory = 'IQ stuff/iq/' # path to the puzzle files
box_width = 98
box_height = 76
from_center_height_up = 38
from_center_height_bot = 38
from_center_width = 49
# candi... | null | IQ solver v1.py | IQ solver v1.py | py | 8,512 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "numpy.asarray",
"line_number":... |
154901110 | import re
import logging
import pandas as pd
import os
from os import listdir
from os.path import isfile, join
import tagshegen_new as tsg
from disautils_new import CheckFileByArch32, NoFilesFoundError
# Module for generating additional tagging sheets ('extra') after the main tagging sheets have been generated, for
#... | null | disambiguation/program/etagshe.py | etagshe.py | py | 13,085 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_numb... |
632692623 | from typing import List
class Solution:
def expressiveWords(self, S: str, words: List[str]) -> int:
"""
### [809. Expressive Words](https://leetcode.com/problems/expressive-words/)
Sometimes people repeat letters to represent extra feeling, such as "hello" -> "heeellooo", "hi" -> "hiiii".... | null | 00809/expressive_words.py | expressive_words.py | py | 2,468 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "itertools.groupby",
"line_number": 63,
"usage_type": "call"
}
] |
443766148 | import sys
import os
os.environ["OMP_NUM_THREADS"] = "1"
import pyDNMFk.config as config;config.init(0)
import argparse
from pyDNMFk.utils import *
from pyDNMFk.pyDNMFk import *
from pyDNMFk.pyDNMF import *
from pyDNMFk.dist_comm import *
import pandas as pd
def parser_pyNMF(parser):
parser.add_argument('--p_r', ... | null | main.py | main.py | py | 4,384 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pyDNMFk.config.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyDNMFk.config",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentPars... |
306493189 | # Copyright by Werder, Huber, Moor, Guler
import easygui
from Maze_Master import *
# we designed a GUI with the module easygui
while True:
easygui.msgbox("Welcome to the Maze Project \nby Jonas Guler,Kilian Werder,Nicolas Huber,Philipp Moor","") #creates the messagebox
choice_list = ["Prim's Algorithm", "Recurs... | null | A-Maze-ing/Maze_Main_withGUI.py | Maze_Main_withGUI.py | py | 3,292 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "easygui.msgbox",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "easygui.choicebox",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "easygui.multenterbox",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "easygui.enterbox"... |
340582594 | from flask import Blueprint, render_template,request, redirect, url_for
from logic import func
from logic.Search import reservation
choice = Blueprint('choice', __name__,template_folder='templates',static_folder='./static')
@choice.route('/Roomchoice',methods=['GET','POST'])
def Roomchoice():
if request.method ==... | null | logic/Roomchoice.py | Roomchoice.py | py | 1,186 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.request.fo... |
274316943 | #!/usr/bin/env python
# Find grid-cell centres in images.
import os
import sys
import tensorflow as tf
import pickle
import numpy
import argparse
parser = argparse.ArgumentParser()
parser.add_argument(
"--epoch", help="Restart from epoch", type=int, required=False, default=0
)
args = parser.parse_args()
# Dist... | null | models/find_grid/findGrid.py | findGrid.py | py | 3,495 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.distribute.MirroredStrategy",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tensorflow.distribute",
"line_number": 20,
"usage_type": "attribute"
},
... |
224685588 | import requests
from bs4 import BeautifulSoup
def get_so_pages(url):
result = requests.get(url)
soup = BeautifulSoup(result.text, "html.parser")
try:
pages = soup.find("div", {"class": "s-pagination"}).find_all("a")
last_page = pages[-2].get_text(strip=True)
return int(last_page)
except:
return... | null | python_files/extractor/so.py | so.py | py | 1,727 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"li... |
467175393 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# 4h-dose-pv.py
# This program provides an EPICS PV that corresponds to the 4h radiation dose associated to any
# radiation probe at Sirius. The program receives two arguments. One is the name of the dose rate
# input PV used for calculation. The other is the name of the 4h d... | null | 4h-dose-pv.py | 4h-dose-pv.py | py | 3,939 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pcaspy.Driver",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pcaspy.Driver.__init__",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pcaspy.Driver",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "Queue.Queue",
... |
250080320 | import tkinter as tk
from PIL import Image, ImageTk, ImageDraw
from .canvas import Canvas
from .main_picture import MainPicture
from .side_panel import SidePanel
from NeuralNetwork.setup import setup
class Master(tk.Tk):
def __init__(self):
tk.Tk.__init__(self)
self.neuralNetwork = setup()
... | null | GUI/master.py | master.py | py | 1,448 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tkinter.Tk",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Tk.__init__",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "NeuralNetwork.setu... |
353467634 | # -*- coding: utf-8 -*-
#
# Copyright (C) Red Hat, 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 ... | null | dci/db/declarative.py | declarative.py | py | 4,562 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.Column",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.dialects.postgresql.UUID",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.dialects.postgresql",
"line_number": 26,
"usage_type": "name"
},
{
... |
520093073 | from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.forms.formsets import formset_factory
from django.http import Http404
from django.shortcuts import render, get_object_or_404, redirect
from d... | null | polls/views.py | views.py | py | 3,621 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "polls.models",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "polls.models.Question.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "polls.models.Question.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
569460035 | import matplotlib.pyplot as plt
import numpy as np
def show_result(solver, solver_name):
ans = solver.get_answer().get_matrix()
title = f"{solver_name}, dim:{ans.shape[0]}, {solver.get_num_iters()} iterations, black pixels:{np.count_nonzero(ans != 0)} "
print_3d_matrix(ans, title, ans.shape[0]).sho... | null | GUI.py | GUI.py | py | 1,535 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.count_nonzero",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",... |
344922870 | import pygame #al iniciar programa dibujar triangulo dando tres clics
ancho=800; alto=600 #dimensiones
verde = [0,255,0] ; rojo = [255,0,0] ;negro = [0,0,0];otrocol=[40,30,200]
reloj = pygame.time.Clock() #reloj para manejar tiempo
centro = [int(ancho/2),int(alto/2)]
def escalar(pto,pEs): # recibe los puntos e... | null | escalar2.py | escalar2.py | py | 2,353 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.time.Clock",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode"... |
447290609 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# author:Erik Chan
# datetime:2019/4/25 18:18
# software: PyCharm
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow.python.tools.inspect_checkpoint import print_tensors_in_checkpoint_file
#获取10个数的平均值
def moving_average(a,w=10):
... | null | PycharmProjects/Practice/数据分析/TensorFlow入门/逻辑回归/准备数据.py | 准备数据.py | py | 3,621 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.linspace",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random.randn",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"... |
286220840 | import os
from forms import AddForm, DelForm
from flask import Flask, render_template, session, url_for, redirect
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
app = Flask(__name__)
app.config['SECRET_KEY'] = 'mysecretkey'
# Database
basedir = os.path.abspath(os.path.dirname(__file__))
#... | null | Jeremy/app.py | app.py | py | 2,991 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_n... |
428400261 | """Example command: python benchmark.py --resume /checkpoint/cinjon/spaceofmotion/supercons/corrflow.kineticsmodel.pth --savepath /checkpoint/cinjon/spaceofmotion/supercons/corrflow.kineticsmodel.gymnastics --workers 8 --dataset jun1full-gymnastics --use_max_mask --datasplit trainval --limit 10 --skip_frames 3"""
impor... | null | benchmark.py | benchmark.py | py | 8,734 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.isdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logger.setup_logger",
"lin... |
314020190 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Medicine',
fields=[
('id', models.AutoField(pri... | null | records/migrations/0001_initial.py | 0001_initial.py | py | 5,058 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 13,
"usage_type": "call"
},
... |
254741066 | import numpy as np
import networkx as nx
import multiprocessing as mp
import pandas as pd
def _parallel_RGD(node):
RGD_ = 0
total = 0
for rec in REC_dict_:
data = rec.split(",")
if node in data: #if node in the graphlet
RGD_ += REC_dict_[rec]
total += 1
if total != 0: #faster to ask if node is acting in ... | null | obj3/pyloto.py | pyloto.py | py | 11,264 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "multiprocessing.Pool",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
... |
58992149 | from django.shortcuts import render
from django.http import JsonResponse
from django.views import View
from .models import Casa, ImagenesHabitaciones, BotonLink
from .forms import CasaForm
import tempfile
import requests
from django.conf import settings
from django.core import files
import os
import zipfile
from os.pat... | null | inmobiliariaVR/appVR/views.py | views.py | py | 10,352 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.View",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "forms.CasaForm",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "models.Casa.objects.filter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "models.Ca... |
619637029 | import pycom
import time
from machine import Pin
from machine import Timer
from dth import DTH
import gps
import machine
from gps import GPS_UART_start
from gps import NmeaParser
from machine import RTC
from network import LoRa
from network import WLAN
import socket
import binascii
import ubinascii
im... | null | Full platform code/main.py | main.py | py | 4,068 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pycom.heartbeat",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dth.DTH",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "machine.Pin",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "machine.Pin.OPEN_DRAIN",
"lin... |
395650481 | '''
Created on Apr 24, 2017
@author: Guyling1
'''
import numpy as np
from pymc3.distributions import Discrete
import theano.tensor as tt
from theano import as_op
from theano import shared,function
import theano
from pymc3.distributions.dist_math import bound
theano.config.compute_test_value = "ignore"
"... | null | gammaPrior.py | gammaPrior.py | py | 4,160 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "theano.config",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "theano.tensor.fill",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "theano.tensor",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "theano.tensor.one... |
399720588 | import credentials
import tweepy
import csv
auth = tweepy.OAuthHandler(credentials.API_KEY, credentials.API_SECRET_KEY)
auth.set_access_token(credentials.ACCESS_TOKEN, credentials.ACCESS_TOKEN_SECRET)
api = tweepy.API(auth)
id = None
count = 0
while count <= 3000:
tweets = api.search(q='ParoNacional3M', lang='es... | null | tweets.py | tweets.py | py | 642 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "credentials.API_KEY",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "credentials.API_SECRET_KEY",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_nam... |
444629803 | import sys
_module = sys.modules[__name__]
del sys
hummingbird = _module
ml = _module
_container = _module
_parse = _module
_utils = _module
convert = _module
exceptions = _module
operator_converters = _module
_gbdt_commons = _module
_tree_commons = _module
_tree_implementations = _module
constants = _module
decision_t... | null | generated/test_microsoft_hummingbird.py | test_microsoft_hummingbird.py | py | 29,243 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.modules",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "_paritybench_helpers.patch_functional",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "unittest.mock.mock_open",
"line_number": 39,
"usage_type": "call"
},
{
"api... |
48833858 | import logging
import string as s
logging.basicConfig(
level=logging.INFO,
filename='cipher_log.log',
filemode='w',
format='%(asctime)s - %(message)s',
datefmt='%d/%m/%Y %H:%M:%S'
)
def main():
"""The main code"""
user_input = ''
while user_input != 'STOP':
user_input = input... | null | cipher.py | cipher.py | py | 2,511 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "string.punctuation",... |
619531960 | from tkinter import *
from tkinter.ttk import *
from tkinter import ttk
from pymongo import MongoClient
import tkinter.messagebox as ms
import webbrowser
import shutil
import Passwords
import post
import signup
client = MongoClient(Passwords.MONGO_URI)
db = client['Jobs-db']
jobs = db.jobs
db_det = client['Student-d... | null | Py_chasers/main.py | main.py | py | 20,195 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "Passwords.MONGO_URI",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tkinter.ttk.Notebook",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "tki... |
559054014 | import numpy as np
import pandas as pd
from tqdm import tqdm
from HW2.config import ITEM_COL, USER_COL, INTERNAL_DATA_DIR, NEGATIVE_SAMPLES_FILE_NAME, N_NEGATIVE_SAMPLES_SETS, LOAD_NEGATIVE
class NegativeSampler:
""" choose the negative sample proportionally to their item strength
can get inverse parameter s... | null | HW2/nagative_sampler.py | nagative_sampler.py | py | 2,864 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "HW2.config.INTERNAL_DATA_DIR",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "HW2.config.NEGATIVE_SAMPLES_FILE_NAME",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pandas.Series",
"line_number": 21,
"usage_type": "call"
},
{
"... |
610279819 | import os
import glob
import time
import ms5837
import io # used to create file streams
import fcntl # used to access I2C parameters like addresses
import string # helps parse strings
import time
class AtlasI2C:
long_timeout = 1.5 # the timeout needed to query readings and calibrations
shor... | null | SU/AtlasI2C.py | AtlasI2C.py | py | 2,291 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "io.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "fcntl.ioctl",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "fcntl.ioctl",
"line_number": 25,
... |
143565183 | from django.urls import path
from . import views
app_name = 'home'
urlpatterns = [
path('', views.home, name='home'),
path('loginHome/', views.loginHome, name='loginHome'),
path('ownerHome/', views.ownerHome, name='ownerHome'),
path('driverHome/', views.driverHome, name='driverHome'),
path('sharerH... | null | home/urls.py | urls.py | py | 491 | 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",
... |
570333458 | from __future__ import print_function
from __future__ import absolute_import
# global imports
import sys, os
import matplotlib.pyplot as plt
import time
from matplotlib.colors import LogNorm
# local imports
from .open_edf import open_edf
def plot_edf(data,
index = 0,
savename = "/savename... | null | fileIO/edf/plot_edf.py | plot_edf.py | py | 2,995 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "matplotlib.colors.LogNorm",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": ... |
427556845 | import json
import logging
import os
import urllib
from com.dub.api.AdminApi import AdminApi
from com.dub.api.DubrooApi import DubrooApi
from com.dub.api.UsersApi import UsersApi
from com.dub.api.YTDetailsFetcher import YTDetailsFetcher
from com.dub.api.session_module import BaseSessionHandler
from google.appengine.ex... | null | src/start.py | start.py | py | 32,210 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jinja2.Environment",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
503029234 | #encoding:utf-8
import sys
PROJECT_PATH = r"D:\python\Test_App\osc_test"
sys.path.append(PROJECT_PATH)
from common.BasicTestCase import BasicTestCase
from utils.ExcelUtils import ExcelUtils
import unittest
import os
from ddt import ddt,unpack,data
import time
@ddt
class LoginCheck(BasicTestCase):
app_path = os.... | null | testcases/login/LoginCheck.py | LoginCheck.py | py | 1,134 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "common.BasicTestCase.BasicTestCase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.pat... |
308790715 | #!C:\Users\Ritesh\PycharmProjects\MyPro\venv\Scripts\python.exe
import sys
import pandas as pd
import datetime
import urllib
import webbrowser as wb
import tweepy
from tweepy import API
from tweepy import Cursor
consumer_key = 'x1MmILheA2rZUOt3ASe8Ml3Ay'
consumer_secret = 'SALsd26Rqdlemn2qgShY9Nuc4nwIrrfxhmwOyq6SSmpz... | null | Twitter_final.py | Twitter_final.py | py | 1,792 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "webbrowser.open_new_tab",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tweepy.Cursor"... |
284378027 | # Copyright 2013-2014 The Meson development team
# 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 agree... | null | mesonbuild/mlog.py | mlog.py | py | 11,356 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ctypes.windll.kernel32",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "ctypes.windll",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "ctypes.wintypes.DWORD",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "ctype... |
344680599 | import os
from bs4 import BeautifulSoup as bs
import requests
from splinter import Browser
from bs4 import BeautifulSoup
from webdriver_manager.chrome import ChromeDriverManager
import pandas as pd
import pymongo
def scrape():
executable_path = {'executable_path': ChromeDriverManager().install()}
browser = B... | null | Mission_to_Mars/scrape_mars.py | scrape_mars.py | py | 3,254 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "webdriver_manager.chrome.ChromeDriverManager",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "splinter.Browser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 21,
"usage_type": "call"
},
{
"a... |
374975494 | import pandas as pd
import numpy as np
from typing import Tuple
def get_grid(
orders: pd.DataFrame,
# columns: latitiude, longitude, vendor_id
x_n_points: int,
y_n_points: int
) -> pd.DataFrame:
max_x = orders['longitude'].max()
min_x = orders['longitude'].min()
max_y = orders['latitude']... | null | assignment-2/location-based/src/utils.py | utils.py | py | 1,622 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.DataFrame",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",... |
194036950 | from kivy.app import App
from kivy.uix.label import Label
class MainApp(App):
def build(self):
try:
x=0
while True:
x = x+1
c =""
name = "virus" +'-' +str(x)
f=open(name,"w")
for y in range(x):
c= c+ y*"you are hacked!!... | null | Kivy/file/main.py | main.py | py | 695 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "kivy.app.App",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "kivy.uix.label.Label",
"line_number": 21,
"usage_type": "call"
}
] |
216755646 | #!/usr/bin/env python3
import argparse
import tempfile
import json
import requests
import re
import os.path
from typing import Iterable
from PIL import Image
import math
from pprint import pprint
import sys
def reqex(r: requests.Response, okcodes: int) -> requests.Response:
if not r.ok and r.status_code not in o... | null | mattermost/manage.py | manage.py | py | 7,754 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.Response",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pprint.pprint",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pprint.pprint",
... |
498373531 | from scipy.stats import spearmanr
# def spearman(list1, list2):
# N = len(list1)
# sumD2 = sum((a - b) ** 2 for a, b in zip(list1, list2))
# return 1 - 6 * sumD2 / (N ** 3 - N)
def read_calc_spearman(path):
human = []
machine = []
data = open(path, encoding='utf8')
next(data)
for line... | null | homma/chapter10/knock95.py | knock95.py | py | 1,262 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.stats.spearmanr",
"line_number": 20,
"usage_type": "call"
}
] |
298107009 | #!python
# -*- coding: utf-8 -*-
#
# Author : Bhishan Poudel; Physics Graduate Student, Ohio University
# Date : Aug 15, 2016
# Last update :
""" This program creates weighted average of the input fitsfiles.
:Inputs: phosim_normalized_psf/psf*.fits
:Outputs: weighted_psf.fits
... | null | a8_weighted_normalized_psf.py | a8_weighted_normalized_psf.py | py | 2,341 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.linspace",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits.getdata",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "astropy.io.fit... |
361410094 | # -*- coding: utf-8 -*-
"""
Created by Dufy on 2019/11/27 11:21
IDE used: PyCharm
Description :
1)对总的数据集进行划分
2)输出：'test_split_data.txt'
‘train_split_data.txt'
Remark: 记得在运行前，清空 'test_split_data.txt' 与 ‘train_split_data.txt'内容
"""
from data_operation import OperateExcel, function
import os
import random
impo... | null | data_selection.py | data_selection.py | py | 6,799 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "linecache.getline",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "linecache.getline",
"l... |
195172732 | from urllib.request import urlopen
import pickle
import urllib
import urllib.request as url
from urllib.parse import quote
from bs4 import BeautifulSoup as bs
from dict import v_set
import bleach
import re
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
#from test1 import skilldict
#import url... | null | scripts backup/skillnkey.py | skillnkey.py | py | 1,886 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "filterurldict.corrskdic",
"line_number": 29,
"usage_type": "name"
},
{
"api_nam... |
108599822 | import discord
from discord.ext import commands
import random
description = "ACM!!"
bot = commands.Bot(command_prefix='!', description=description)
@bot.event
async def on_ready():
print('Logged in as')
@bot.command()
async def banme(ctx):
await ctx.guild.ban(ctx.message.author)
bot.run('') | null | 03_banme.py | 03_banme.py | py | 306 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 7,
"usage_type": "name"
}
] |
472204877 | import discord
from discord.ext import commands
import json
import asyncio
import cards
cardsId = "SDCards"
class GetSDCards(commands.Cog):
def __init__(self, bot=None):
self.bot = bot
with open(r"C:\Users\krypt\Desktop\TradeWars\Cards.json", "r") as f:
self.cardData = js... | null | cogs/GetSDCardsClass.py | GetSDCardsClass.py | py | 696 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cards.SDCa... |
455775152 | # -*- coding: cp1252 -*-
import os
import sys
import unittest
sys.path.insert(1, os.path.abspath(os.path.join(__file__, "../..")))
import base_test
from selenium.common import exceptions
from selenium.webdriver.support import wait
class WebElementTest(base_test.WebDriverBaseTest):
## These makes no sense in pyth... | null | webdriver/element_location/web_element_test.py | web_element_test.py | py | 5,093 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
225342054 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 22 13:24:14 2019
@author: kuangmeng
"""
import numpy as np
from Read_Dataset import ReadDataset
from sklearn.linear_model import LogisticRegression
from sklearn import tree
from sklearn.ensemble import GradientBoostingClassifier
from sklearn import ... | null | Simple_Classification_Methods.py | Simple_Classification_Methods.py | py | 2,127 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Read_Dataset.ReadDataset",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model... |
490439698 | # Copyright (c) maiot GmbH 2020. 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 applica... | null | zenml/backends/training/training_gcaip_backend.py | training_gcaip_backend.py | py | 5,125 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zenml.utils.requirement_utils.check_integration",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "zenml.utils.requirement_utils",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "zenml.utils.requirement_utils.GCP_INTEGRATION",
"line_number": ... |
112431814 | #!/bin/env python3
"""
"""
import numpy as np
import pandas as pd
from scipy.linalg import pinv
from sklearn.preprocessing import scale
import matplotlib.pyplot as plt
import seaborn as sns
from tqdm import trange
from contextual_matrix import get_contextual_matrix
class DCMF(object):
""" DCMF: Dynamic Conte... | null | dcmf.py | dcmf.py | py | 8,993 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.isnan",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.rand",
... |
269761330 | import sklearn
import numpy as np
from sklearn import tree
import random
from scipy.spatial import distance
def euc(a,b):
return distance.euclidean(a,b)
class ScrappyKNN():
def fit(self,X_train,Y_train):
self.X_train = X_train
self.y_train = y_train
def predict(self,X_test):
predi... | null | KNN.py | KNN.py | py | 1,278 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.spatial.distance.euclidean",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.distance",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 35,
"usage_type": "call"
},
{
"... |
418997722 | from mxnet import gluon
from mxnet import ndarray as nd
from mxnet import autograd as ag
# import sys
# sys.path.append('/Users/lnn/Code/Github/Gluon_DL/')
import utils
net = gluon.nn.Sequential()
with net.name_scope():
net.add(gluon.nn.Flatten())
net.add(gluon.nn.Dense(256, activation="relu"))
net.add(glu... | null | mlp_Gluon/mlp_Gluon.py | mlp_Gluon.py | py | 1,156 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mxnet.gluon.nn.Sequential",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "mxnet.gluon.nn",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "mxnet.gluon",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "mxnet.gluon.nn... |
259843750 | """
Created on Sun Oct 27 19:13:32 2019
@author: RK
Task2, Exercise1:
Use the cross product to compute the area of a convex, 2D polygon
"""
#%% # Import dependencies
import numpy as np
import logging
import matplotlib.pyplot as plt
#%% # logging
# Create and configure the logging
LOG_FORMAT = "%(message)s"
logging.... | null | RK-Task2-Exercise2.py | RK-Task2-Exercise2.py | py | 5,824 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random... |
313868080 | import requests
from flask import Blueprint, jsonify
from datetime import datetime, timedelta
from dateutil import parser
from src.route.root import TODAY_STR, TODAY, YESTERDAY_STR
from src.cache import cache
from src.db import session
from src.models import Status
indonesia = Blueprint('indonesia', __name__)
JABAR ... | null | src/route/indonesia.py | indonesia.py | py | 5,318 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dateutil.parser.parse",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dateutil.parser",
... |
87702012 | from pyramid.view import view_config
from ..models import Entry
from pyramid.response import Response
from sqlalchemy import desc
import datetime
from pyramid.httpexceptions import HTTPFound
from pyramid.security import NO_PERMISSION_REQUIRED
from pyramid.httpexceptions import HTTPFound
from pyramid.security import rem... | null | lj_step3/views/default.py | default.py | py | 2,347 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "security.check_credentials",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyramid.security.remember",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pyramid.httpexceptions.HTTPFound",
"line_number": 20,
"usage_type": "call"
},
{
... |
104194887 | from bs4 import BeautifulSoup as bs
from urllib.request import urlopen, Request
from pymongo import MongoClient
from bson.objectid import ObjectId
import json
import sys
songinfo=[]
client=MongoClient()
db=client.tamilMusicDB
hdr = {'User-Agent': 'Mozilla/5.0'}
base = 'http://www.5starmusiq.com/'
f=open('links.txt',... | null | scraping.py | scraping.py | py | 2,183 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.request.Request",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bs4.... |
35056293 | """Mock reader used by the MockTransport class."""
import asyncio
from aiohttp import web
input_buffer = asyncio.Queue()
def _set_response(web_response: web.Response):
web_response.headers.add("Content-type", "text/html")
web_response.set_status(200)
return web_response
class MockReader:
"""Web se... | null | pyinsteon/protocol/mock/mock_reader.py | mock_reader.py | py | 1,925 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "asyncio.Queue",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "aiohttp.web.Response",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "aiohttp.web",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "aiohttp.web.Applicat... |
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