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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
250555844 | # Good morning! Here's your coding interview problem for today.
# This problem was asked by IBM.
# Given an integer, find the next permutation of it in absolute order.
# For example, given 48975, the next permutation would be 49578.
from itertools import permutations
def one_digit_checker(num):
if (num >= 0) a... | null | Daily Coding Problem/Solved/Problem#205_Easy.py | Problem#205_Easy.py | py | 1,744 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "itertools.permutations",
"line_number": 36,
"usage_type": "call"
}
] |
605340624 | from visdom import Visdom
import time
class VisdomLinePlotter(object):
def __init__(self, vis, color='red', size=5, title=None, ylabel=None, xlabel=None, linelabel=None):
self.vis = vis
self.title = title
self.ylabel = ylabel
self.xlabel = xlabel
# this holds the data to be plotted
self.trace = [dict(x... | null | visdom_utils.py | visdom_utils.py | py | 1,633 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "visdom.Visdom",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 51,
"usage_type": "call"
}
] |
477083590 | import nltk
import torch
import re
from rupo.g2p import graphemes
gr = graphemes.Graphemes()
def repackage_hidden(h):
"""Wraps hidden states in new Tensors,
to detach them from their history."""
if isinstance(h, torch.Tensor):
return h.detach()
else:
return tuple(repackage_hidden(v) f... | null | utils.py | utils.py | py | 1,878 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rupo.g2p.graphemes.Graphemes",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "rupo.g2p.graphemes",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "nltk.... |
512786865 | import json
import hashlib
import os
import re
import logging
import boto3
from botocore.vendored import requests
from botocore.exceptions import ClientError
# get variable from env
alien_apikey = os.environ['ALIEN_API_KEY']
alien_url = os.environ['ALIEN_URL']
confidence = os.environ['CONFIDENCE']
action_type = os.env... | null | alienvault_s3.py | alienvault_s3.py | py | 2,975 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"lin... |
3140707 | """Module for solving Equation 6 of Canto, Raga, & Wilkin 1996 (CRW96)
This finds the radius of a stellar wind interaction bowshock in terms
of the momentum and angular momentum injected by the two winds.
CRW96 concentrated on the case of isotropic winds, but this module
will work generally with any cylindrically sym... | null | Programs/equation6.py | equation6.py | py | 13,580 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.sqrt",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 49,... |
643155825 | import gym
import matplotlib
import numpy as np
env = gym.make("MountainCar-v0")
DESCRETE_OS_SIZE = [20] * len(env.observation_space.high)
descrete_state_window_size = (env.observation_space.high - env.observation_space.low) / DESCRETE_OS_SIZE
LEARNING_RATE = 0.1
DISCOUNT = 0.95
EPISODES = 5000
epsilon = 0... | null | MountainCar.py | MountainCar.py | py | 1,795 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gym.make",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.argmax",
"li... |
57717416 | """ Figures for the first SST OOD paper"""
import os, sys
import numpy as np
import glob
import matplotlib as mpl
import matplotlib.gridspec as gridspec
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
import matplotlib.ticker as mticker
import cartopy.crs as ccrs
fro... | null | papers/I/Figures/py/fig_sst_anomaly_flowI.py | fig_sst_anomaly_flowI.py | py | 42,467 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspat... |
57533445 | class_name = 'content_tab'
from qtpy import QtCore, QtGui, QtWidgets, uic
import os
import sys
import re
import pathlib
import json
from logzero import logger
from modules.sumologic import SumoLogic
from modules.shared import ShowTextDialog
class findReplaceCopyDialog(QtWidgets.QDialog):
def __init__(self, fromc... | null | modules/content_tab.py | content_tab.py | py | 47,992 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "qtpy.QtWidgets.QDialog",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "qtpy.QtWidgets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "qtpy.QtWidgets.QDialogButtonBox",
"line_number": 27,
"usage_type": "attribute"
},
{
"a... |
5969881 | import folium
import pandas
import math
data_k = pandas.read_excel("data_k.xlsx",sheet_name=0)
data_e = pandas.read_excel("data_e.xlsx",sheet_name=0)
data_v = pandas.read_excel("data_v.xlsx",sheet_name=0)
basic = ["show_name","country_name","country_id","population", "latitude", "longitude"]
basic2 = ["show... | null | gazdfoci.py | gazdfoci.py | py | 2,474 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_excel",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "math.isnan",
"... |
227478972 | from django.shortcuts import render,redirect, get_object_or_404
from django.http import HttpResponse
from django.db.models import Q
from .models import Juridica
from .models import Ciudad
from .models import Sector
from .models import TipoEmpresa
from ..personas_naturales.models import Persona_Natural
from . import for... | null | ventas/personas_juridicas/views.py | views.py | py | 4,208 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "dal.autocomplete.Select2QuerySetView",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "dal.autocomplete",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "models.Juridica.objects.all",
"line_number": 20,
"usage_type": "call"
},
{... |
240327679 | import pygame as pg
import pygame.freetype
import pygame.gfxdraw
from setting import *
from Background import *
from BKLOG import *
from Scenes import *
import typing
TOPLEFT=1
TOPRIGHT=2
BOTTOMLEFT=3
BOTTOMRIGHT=4
LEFT=5
RIGHT=6
TOP=7
BOTTOM=8
BODY=10
EDIT_MODE=True
#EDIT_MODE=False
class Label(pg.sprite.DirtySp... | null | MenuScene 20210730.py | MenuScene 20210730.py | py | 29,966 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.sprite",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pygame.Color",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pygame.freetype.SysFont",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pygame.freety... |
577929564 | import pytest
from api.clusters.serializers import ClusterSerializer
from api.nodes.serializers import ClusterNodeDetailSerializer, ClusterNodeSerializer, GPUSerializer
from db.models.clusters import Cluster
from db.models.nodes import ClusterNode, NodeGPU
from factories.factory_clusters import ClusterNodeFactory, GPU... | null | tests/test_clusters/test_serializers.py | test_serializers.py | py | 4,611 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tests.utils.BaseTest",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "api.nodes.serializers.GPUSerializer",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "db.models.nodes.NodeGPU",
"line_number": 14,
"usage_type": "name"
},
{
"... |
384243273 | # coding = utf-8
import requests
import configparser
import os
config = configparser.ConfigParser()
basedir = os.path.abspath(os.path.dirname(__file__))
static_file_path = os.path.join(basedir, 'config.ini')
config.read(static_file_path)
cookieUrl = config.get('url', 'cookieUrl')
data = config.get('data', ... | null | test2/Cookie/Cookies.py | Cookies.py | py | 429 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",... |
287990213 | from bs4 import BeautifulSoup
import pandas as pd
import re
import unidecode
import time
path = []
for i in range(1, 51):
path.append('text_data/' + str(i) + '.txt')
for i in range(0, 50):
crawl_path = 'crawl_data/text_data' + str(i) + '.csv'
html = open(path[i], 'r', encoding='utf-8')
htmlhandle = ht... | null | spider/web_comments.py | web_comments.py | py | 2,950 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_... |
338121494 | from tastypie.resources import ModelResource
from tastypie import fields
from tastypie.utils import trailing_slash
from facilities.models import Hospital, GPSurgery
from django.core import serializers
from django.http import HttpResponse
from django.db.models import Q
from django.conf.urls.defaults import url
class H... | null | nhsbugs/facilities/api.py | api.py | py | 1,189 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tastypie.resources.ModelResource",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "facilities.models.Hospital.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "facilities.models.Hospital.objects",
"line_number": 14,
"usage_ty... |
451508286 |
import torch.nn as nn
from torch import optim
from torch.utils.data import Dataset, DataLoader
from torch.utils.data.dataset import Dataset
from torch.utils.data.sampler import BatchSampler
from torchsummary import summary
from torchvision import transforms
from torchvision.datasets import DatasetFolder
import errno
i... | null | src/pytorch-template/old/baseline/Network_num_2.py | Network_num_2.py | py | 11,582 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
320101996 | import argparse
import numpy as np
import h5py
import data_reader as dr
import util as ut
class ImageSerializer():
def __init__(self, n_bins):
self.mjj_cut = 1100.
self.n_bins = n_bins
def read_file(self, path ):
event_reader = dr.DataReader( path )
events = event_reader.read... | null | sarewt/event_to_image_serialization.py | event_to_image_serialization.py | py | 5,080 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "data_reader.DataReader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.digitize",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.digitize",
... |
434728083 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
两种最基础的inesrt和bulk insert。
"""
from __future__ import print_function
from mongoengine import *
from datetime import datetime, date
connect("test", host="localhost", port=27017)
class User(Document):
user_id = IntField(primary_key=True)
name = StringField(max_... | null | lsn04_basic_update_and_upsert.py | lsn04_basic_update_and_upsert.py | py | 2,512 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetim... |
171918871 | """
Copyright (c) 2018 SPARKL Limited. All Rights Reserved.
Author <miklos@sparkl.com> Miklos Duma.
Test cases for Crypto Portfolio SPARKL mix in examples repo.
"""
import pytest
from tests.conftest import (IMPORT_DIR, OPERATION, INPUT_FIELDS, EXP_RESPONSE,
CHECK_FUN, run_tests, read_from_c... | null | tests/with_auth/test_lib_slack.py | test_lib_slack.py | py | 4,554 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tests.conftest.read_from_config",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tests.conftest.IMPORT_DIR",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "tests.conftest.OPERATION",
"line_number": 88,
"usage_type": "name"
},
{... |
74662768 | """
Given a stack of N elements,
interleave the first half of the stack with the second half reversed using only one other queue.
This should be done in-place.
Recall that you can only push or pop from a stack, and enqueue or dequeue from a queue.
For example, if the stack is [1, 2, 3, 4, 5],
it should become [1, ... | null | old/dcp_series/dcp_180.py | dcp_180.py | py | 1,068 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.deque",
"line_number": 21,
"usage_type": "call"
}
] |
262499944 | import sys
sys.path.insert(0, '/data/niekserver/lib')
from http import _POST
from http import _USER
from http import html
from http import java
from general import redirect
from general import make_page
from urllib.parse import unquote
name = "Server Connect"
content_head = """
<h1>Server Connect</h1>
"""
form = " ... | null | NiekServer/py/server_connect.py | server_connect.py | py | 1,425 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.insert",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "socket.gethostbyname",
"li... |
639196969 | from __future__ import print_function
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
from future import standard_library
standard_library.install_aliases()
from avatar.configuration.configurationFactory import ConfigurationFactory
from avatar.system impor... | null | avatar/tests/test_configuration.py | test_configuration.py | py | 3,055 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "future.standard_library.install_aliases",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "future.standard_library",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.getcwd",
"line_number": 46,
"usage_type": "call"
},
{
"api_name"... |
464706012 |
import tkinter as tk
from tkinter import *
import tkinter as ttk
import sklearn.neighbors._typedefs
import numpy as np
import pandas as pd
import pickle
df = pd.read_csv("career_pred.csv")
df = df.iloc[: , 7:]
dataset = df
for i in dataset.columns:
Types = []
for j in dataset[i]:
... | null | Prof_Orientation_model.py | Prof_Orientation_model.py | py | 23,948 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.Normalizer",
"line_number": 86,
"usage_type": "call"
},
{
... |
275804822 | import base64
from datetime import datetime
import hashlib
import hmac
import json
import base64
import hashlib
import hmac
import random
import socket
import time
import requests
import re
def create_signature(secret_key, method, md5, ctype, date, uri):
# Get the string to sign
string_sign = string_to_sign(me... | null | app/trace.py | trace.py | py | 2,291 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "hmac.new",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "base64.b64encode",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_nu... |
500187938 | # -*- coding: utf-8 -*-
# from __future__ import unicode_literals
import os
import json
import requests
from time import sleep
from kbot.log import Log
from kbot.message import Message
from kbot.book.common import BookSearchQuery
class CalilService(object):
CALIL_BASE_URL = "http://api.calil.jp/check"
@cla... | null | kbot/book/calil.py | calil.py | py | 3,489 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.sleep",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "kbot.book.common.BookSearchQuery",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "kbot.log.Log.info",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "kbot.lo... |
410339514 | def numero_materiales(elemento,material,nombre):
from lxml import etree
lista = []
for elem in elemento:
lista.append(elem.text)
lista_materiales = []
lista_muro = []
lista_tabiques = []
lista_cubierta = []
lista_interno = []
lista_terreno = []
lista_medianera = []
for elem in material:
lista_materiales... | null | Funciones_xml.py | Funciones_xml.py | py | 3,322 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "lxml.etree.parse",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "lxml.etree.parse",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_n... |
498276825 | import pandas as pd
from datetime import date
from main.dataframe_ops import transform_df
class SimulationA:
tx_fee = 0.65
def __init__(self, principal):
self.principal = principal
self.principal_init = principal
self.owned_shares = 0
self.owned_shares_hodling = 0
def ... | null | simulator/SimulationA.py | SimulationA.py | py | 3,495 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "main.dataframe_ops.transform_df",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 49,
"usage_type": "call"
}
] |
610380581 | from django.shortcuts import render,redirect
from django.contrib.auth.decorators import login_required
from django.contrib.auth.forms import AuthenticationForm,UserCreationForm
from django.contrib.auth import authenticate,login
from django.contrib.auth.models import User
from django.core.paginator import Paginator... | null | sanliuyunsite/sanliuyunapp/views.py | views.py | py | 10,861 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sanliuyunapp.form.uploadArtForm",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sanliuyunapp.form.uploadArtForm",
"line_number": 21,
"usage_type": "call"
},
... |
384755586 | import numpy as np
import matplotlib.pyplot as plt
from ZachsPackage import Display as D
L = 0.15 # Fin length
Tb = 500 # Base temperature K
k = 16.0 # Thermal conductivity W/mK
Ac = 1.67e-4 # Cross sectional area m^2
P = 0.066 # Perimeter length m
Tf = 300 # Free stream temperature K
h = 25 # Heat transfer coefficient... | null | ME342NumAnalysis/Unit5/Assignment58.py | Assignment58.py | py | 12,087 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.argwhere",
"line_numbe... |
563058881 | #!/usr/bin/python
from __future__ import print_function
import argparse
import serial
import time
import os
import stat
try:
import meterbus
except ImportError:
import sys
sys.path.append('../')
import meterbus
def ping_address(ser, address, retries=5):
for i in range(0, retries + 1):
me... | null | tools/mbus-serial-continous-request-data.py | mbus-serial-continous-request-data.py | py | 7,546 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "meterbus.send_ping_frame",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "meterbus.load"... |
79111955 | # coding: utf-8
# PYTHON IMPORTS
from datetime import datetime
import csv
import re
from types import *
# DJANGO IMPORTS
from django.contrib.admin import helpers
from django.utils.encoding import force_unicode
from django.shortcuts import render_to_response
from django import template
from django.contrib.admin.util i... | null | 3rd_party_apps/grappelli/actions.py | actions.py | py | 5,306 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 72,
"usage_type": "name"
},
{
"api_name": "csv.QUOTE_MINIMAL",
"line_number": 107,
"usage_type": "attribute"
},
{
"api_name": "djang... |
625020565 | import unittest
from selenium import webdriver
from pyvirtualdisplay import Display
class SearchTests(unittest.TestCase):
def setUp(self):
#display = Display(visible=0, size=(1920, 1080)).start()
self.driver=webdriver.Chrome()
self.driver.implicitly_wait(30)
self.driver.maximize_wi... | null | fake.py | fake.py | py | 674 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "unit... |
417891386 | '''
動画を取り込んで、txtファイルに変換。
通信仕様変更したほうがいい気がする。
コマンド系は、改行コード
のみframe_start \ n
lazer_off \ n
座標系は、、カンマ
区切りと改行23,285 \ n
24,284 \ n
基本は改行コードで切り分けていき、カンマ区切りで座標のｘ、yを分ける。
'''
import numpy as np
import cv2
import socket
import math
#define
#Curryのしきい値
Edge_min = 100
Edge_max = 200
delay = 1
#C:/Users/herom/Desktop/NY_Laser... | null | Python/main_movie_fileoutput_kaigyou.py | main_movie_fileoutput_kaigyou.py | py | 4,586 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "math.sqrt",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number":... |
478680555 | #导入相关的包
import smtplib
from email.mime.text import MIMEText
mail_content="""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Title</title>
</head>
<body>
<h1>这是一封python邮件</h1>
</body>
</html>
"""
... | null | net编程/07.py | 07.py | py | 1,541 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "email.mime.text.MIMEText",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTP_SSL",
"line_number": 45,
"usage_type": "call"
}
] |
527876114 | import cv2
import numpy as np
import pano_stitcher as ps
# Load source images
p1 = cv2.imread('my_panos/src/part1.jpg')
p2 = cv2.imread('my_panos/src/part2.jpg')
p3 = cv2.imread('my_panos/src/part3.jpg')
# Warp first image by the homography mapping
# the first image to the second image
p1_homography = ps.homography(p... | null | CS378-Computer Vision/project_1/stitch.py | stitch.py | py | 918 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pano_stitcher.homography",
"line_nu... |
103723213 | from django.shortcuts import render, get_object_or_404, redirect
from blogtest.models import Post
from .models import Comment
from .form import CommentForm
# Create your views here.
def post_comment(request, post_pk):
# 先获取被评论的文章，因为后面需要把评论和被评论的文章关联起来。
# 这里我们使用了 Django 提供的一个快捷函数 get_object_or_404，
# 这个函... | null | comments/views.py | views.py | py | 2,546 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "blogtest.models.Post",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "form.CommentForm",
"line_number": 18,
"usage_type": "call"
},
{
"api_... |
539887010 | # -*- coding: utf-8 -*-
"""
Flask app initialization.
"""
from flask import Flask
from flask.ext.mako import MakoTemplates
from flask_login import LoginManager
from flask_sqlalchemy import SQLAlchemy
from flask_user import SQLAlchemyAdapter, UserManager
app = Flask(__name__) # pylint: disable=invalid-name
MakoTemplat... | null | src/presence_analyzer/main.py | main.py | py | 1,093 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.ext.mako.MakoTemplates",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "... |
326407413 | from datetime import datetime
from django.conf import settings
from django.utils.safestring import mark_safe
from drchrono.api import get_all_patients
# Since we cannot filter partial dates, we get all patients and then select
# those that have their birthday today.
def get_birthday_patients(social):
all_patien... | null | drchrono/birthday_wisher/modules.py | modules.py | py | 3,984 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "drchrono.api.get_all_patients",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.DEBUG",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 16,
"usage_type": "name"
},
{
... |
387437624 | #
# sublimelinter.py
# Part of SublimeLinter3, a code checking framework for Sublime Text 3
#
# Written by Ryan Hileman and Aparajita Fishman
#
# Project: https://github.com/SublimeLinter/SublimeLinter3
# License: MIT
#
import sublime
import sublime_plugin
import json
import os
import re
import time
from .lint.linte... | null | sublimelinter.py | sublimelinter.py | py | 8,683 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "lint.persist.plugin_is_loaded",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "lint.persist",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "lint.persist.load_settings",
"line_number": 27,
"usage_type": "call"
},
{
"api_na... |
87508914 | #!/usr/bin/env python3
### Requirements ###
# bqpjson v0.5 - pip install bqpjson
# ortools v1.5 - https://developers.google.com/optimization/
import sys, json, argparse
from ortools.linear_solver import pywraplp
import bqpjson
def main(args):
if args.input_file == None:
data = json.load(sys.stdin)
... | null | bop_ortools.py | bop_ortools.py | py | 3,896 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bqpjson.validate",
"line_numbe... |
41665574 | import sys
sys.stdin = open('input.txt', 'r')
import sys
input = sys.stdin.readline
from itertools import combinations
N = int(input())
arr = [list(map(int, input().split())) for _ in range(N)]
ans = float('inf')
for case in combinations(range(N), N//2):
esac = tuple(set(range(N)).difference(case))
temp, pme... | null | BOJ/201904/14889.py | 14889.py | py | 554 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.stdin",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "itertools.combinations",
"line_number": 12,
"usage_type": "call"
}
] |
262733548 | import socket
import struct
import numpy as np
import matplotlib.pyplot as plt
import time
from matplotlib.animation import FuncAnimation
import threading
import sys
from scipy.signal import savgol_filter
src_addr = '129.82.45.102'
# src_addr = '127.0.0.1'
src_port = 8000
stream_id = 32
def connect():
"""
C... | null | v1/receiveAndShow_screen.py | receiveAndShow_screen.py | py | 15,083 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "socket.socket",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "struct.pack... |
400180185 | #!/usr/bin/env python3
"""Write gaze samples to samples.txt"""
import argparse
import itertools
import os
import queue
import threading
import time
import sys
import coloredlogs
import cv2 as cv
import numpy as np
import tensorflow as tf
from datasources import Video, Webcam, HDF5Source
from models import ELG
import... | null | src/view_data.py | view_data.py | py | 7,207 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "coloredlogs.install",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",... |
18628778 | import re
import signal
from datetime import datetime, timezone, timedelta
import time
import os
import errno
import psutil
from threading import Thread
import youtube_dl
from common import logger
def time_now():
utc_dt = datetime.utcnow().replace(tzinfo=timezone.utc)
bj_dt = utc_dt.astimezone(timezone(timede... | null | Engine/work.py | work.py | py | 7,617 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.timezone.utc",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": ... |
109975958 | import matplotlib.pyplot as plt
import numpy as np
#显示中文
plt.rcParams['font.sans-serif']='SimHei'
#显示-号
plt.rcParams['axes.unicode_minus']=False
#内容太大时，强制显示所有内容，不省略
np.set_printoptions(threshold=np.NaN)
#读取数据,二进制
data=np.load('国民经济核算季度数据.npz')
print(type(data))
for i in data:
print(i)
name=data['co... | null | 数据分析/day3/14、作业2.py | 14、作业2.py | py | 885 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"ap... |
100602281 | # -*- coding:utf-8 -*-
# @Author : 江湖一笑
# @Time : 2019/6/18 7:33
# @Software : PyCharm
# @Python_verison : 3.7
'''
多进程multiprocessing模块的使用和多线程threading模块的用法类似，multiprocessing提供了本地和远程的并发性，
有效的通过全局解释锁（GIL）来使用进程，由于GIL的存在，在CPU密集型的程序中，使用多线程并不能有效的利用多核CPU的优势，
因为一个解释器在同一时刻，只会有一个线程在执行，所以，multiprocessing模... | null | Web-Autotest-Python/Python-Selenium/python多线程-第10章/多进程技术03/multiprocessing模块01.py | multiprocessing模块01.py | py | 1,876 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.ctime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.ctime",
"line_... |
148665457 | from collections import deque
for ir in range(int(input())):
N = int(input())
A = []
dir = [[-1, 0], [0, 1], [1, 0], [0, -1]]
for i in range(N):
a = input()
b = []
for i2 in a:
b.append(int(i2))
A.append(b)
A_cal = list([90000 for i in range(N)] for i1 i... | null | lecture/algorithm/problem/1249. 보급로.py | 1249. 보급로.py | py | 869 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.deque",
"line_number": 18,
"usage_type": "call"
}
] |
602102204 | #
# Copyright (c) 2012, 2013, 2014 Hewlett-Packard Development Company, L.P.
#
# 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 requi... | null | git_upstream/lib/rebaseeditor.py | rebaseeditor.py | py | 10,175 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "git_upstream.lib.utils.GitMixin",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "git_upstream.log.LogDedentMixin",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "git.Git",
"line_number": 58,
"usage_type": "call"
},
{
"api_name"... |
615205495 | import os
import json
import csv
import boto3
def save_to_dynamodb(db_table, item):
db_table.put_item(
Item=item
)
def lambda_handler(event, context):
# extract info from event
bucket = event['Records'][0]['s3']['bucket']['name']
s3_object = event['Records'][0]['s3']['object']['key']
# temprorary file to ... | null | Serverless_Application/csv_processor.py | csv_processor.py | py | 1,006 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "boto3.client",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "boto3.resource",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"lin... |
605256556 | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 17 16:32:30 2021
@author: Spyro
"""
# import main Flask class and request object
from flask import Flask, request
from flask_cors import CORS, cross_origin
import api_calls
# create the Flask app
app = Flask(__name__)
cors = CORS(app)
app.config['CORS_HEA... | null | bin/scripts/visualization_app_api_start.py | visualization_app_api_start.py | py | 1,729 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask.request",
... |
223887987 | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 5 01:19:25 2021
@author: ma7mo
"""
# Data Preprocessing Tools
# importing libs
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# importing dataset
dataset = pd.read_csv('Data.csv')
X = dataset.iloc[: , :-1].values
y = dataset.iloc[: , -1].value... | null | P14-Part1-Data-Preprocessing/Section 3 - Data Preprocessing in Python/Python/my_data_preprocessing_tools.py | my_data_preprocessing_tools.py | py | 2,193 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.Imputer",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sklearn.... |
240295490 | # The plot server must be running
# Go to http://localhost:5006/bokeh to view this plot
import time
from numpy import pi, cos, sin, linspace, roll, zeros_like
from bokeh.plotting import cursession, figure, show, output_server
from bokeh.models import GlyphRenderer
N = 50 + 1
r_base = 8
theta = linspace(0, 2*pi, N)
... | null | examples/plotting/server/animated.py | animated.py | py | 1,161 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.linspace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": ... |
586075123 | from PIL import Image, ImageDraw, ImageChops, ImageStat
import argparse
import os
from functools import partial, reduce
from random import random, randint
from time import process_time
import cairo
import numpy
import datetime
# The Genetic Algorithm DNA strand will be a tuple of the polygons.
# With each polygon cont... | null | grow.py | grow.py | py | 14,158 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.randint",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"l... |
467653873 | import shutil
from unittest.mock import Mock
from pyspark.sql import DataFrame
from pyspark.sql import functions as F
from butterfree.configs import environment
from butterfree.constants import DataType
from butterfree.constants.columns import TIMESTAMP_COLUMN
from butterfree.extract import Source
from butterfree.ext... | null | tests/integration/butterfree/pipelines/test_feature_set_pipeline.py | test_feature_set_pipeline.py | py | 4,873 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyspark.sql.DataFrame",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "pyspark.sql.functions.col",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": ... |
257914739 | #!/usr/bin/python
# -*- coding: utf8-*-
import requests
from bs4 import BeautifulSoup
import pandas as pd
import urllib
from datetime import datetime
import lxml
import json
import pathlib
# ########## 다음 키워드 뽑아오기 ################
# dlist = [] ## 다음 키워드 저장
# html = requests.get("https://www.daum.net").text
# soup = B... | null | crawling/chapter3/save2.py | save2.py | py | 6,794 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.isdir",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_num... |
555534352 | #vim: set fileencoding=utf-8
from django.http import HttpResponse, HttpResponseRedirect, Http404
from django.template import RequestContext, Template
from django.template import Context, loader
from django.shortcuts import render_to_response
from django.contrib.auth.decorators import login_required
from django.core.pag... | null | src/frontend/app/ctlweb/views/lists.py | lists.py | py | 6,148 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.template.RequestContext",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "ctlweb.models.Interfaces.objects.none",
"line_number": 52,
"usage_type... |
319436366 | import unittest
from selenium import webdriver
from selenium.webdriver.common.by import By
from pages.main_page import MainPage
from argparser_dir.argparser_file import args
class MyTestCase(unittest.TestCase):
def setUp(self):
self.driver = webdriver.Chrome()
self.parser = args
def test_lo... | null | tests/test_verification_file.py | test_verification_file.py | py | 2,920 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "a... |
443249128 | #!/usr/bin/python
# coding:utf-8
# https://gist.github.com/albertomontesg/d8b21a179c1e6cca0480ebdf292c34d2
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Flatten
from keras.layers.convolutional import Conv3D,Convolution3D, MaxPooling3D, ZeroPadding3D
from keras.optimizers import SGD
f... | null | hi_src/ST-CNN_ver2/savemodel.py | savemodel.py | py | 10,680 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.backend.variable",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "keras.backend.clip",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "keras.backend... |
400081428 | from django.shortcuts import render, redirect
from chat.models import Room, Message
from django.http import HttpResponse, JsonResponse
from django.contrib.auth.forms import UserCreationForm
from .forms import CreateUserForm
from django.contrib import messages
from django.contrib.auth import authenticate, login, logou... | null | chat/views.py | views.py | py | 2,781 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "forms.CreateUserForm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "forms.CreateUserForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.success",
"line_number": 21,
"usage_type": "call"
},
{
"api_nam... |
88871896 | # -*- coding: utf-8 -*-
# @File : SimplePostPythonModule.py
# @Date : 2019/1/12
# @Desc :
import base64
import json
from Lib.ModuleAPI import *
class PostModule(PostMSFPythonWithParamsModule):
NAME = "内网Netbios&SMB扫描"
DESC = "通过 NBNS 协议获取 NetBIOS Name.\n" \
"通过 139（默认）或者 445 探测系统相关信息.\n"
... | null | MODULES/Discovery_NetworkServiceScanning_NbtScanByPython.py | Discovery_NetworkServiceScanning_NbtScanByPython.py | py | 6,565 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "base64.b64decode",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 96,
"usage_type": "call"
}
] |
152914191 | import csv
import random
from pathlib import Path
from typing import *
import cv2
import imutils
import numpy as np
import tqdm
SEED = 0xCAFFE
IOU_THRESHOLD = 0.3
py_rng = random.Random(SEED)
np_rng = np.random.RandomState(SEED)
MAX_TRIES = 50
MINIMAL_WIDTH = 5
MINIMAL_HEIGHT = 5
WIDTH_RANGE = (MINIMAL_WIDTH, 40)
HEI... | null | src/dataset/create_no_sign_class_samples.py | create_no_sign_class_samples.py | py | 8,470 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.Random",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.RandomState",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path... |
647634643 | ## 30 days classification
import os
import glob
from tqdm import tqdm
import pandas as pd
from sklearn.utils import resample
from sklearn.utils import shuffle
def clean_data(path):
print("process start..")
df_admi_table=pd.read_csv(f'{path}/AdmissionsCorePopulatedTable.txt',
nam... | null | utility/.ipynb_checkpoints/preprocessing2-checkpoint.py | preprocessing2-checkpoint.py | py | 3,798 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"li... |
490801650 | import logging
from logging.handlers import TimedRotatingFileHandler
import os
from app.flask_app import ROOT
def get_logger(name):
""" Ф-я создания логирования
name - название файла лога (для каждого handlera свое)
Выход: созданный логгер
"""
formatter = logging.Formatter(
fmt='%(ascti... | null | tasks/utils/logger.py | logger.py | py | 877 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.Formatter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.handlers.TimedRotatingFileHandler",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name... |
623226672 | import pytest
@pytest.mark.models
@pytest.mark.unit
@pytest.mark.incremental
class TestPageView:
model = None
data = {
'session_id': 'asjdkasdhjghj',
'url': 'any.com'
}
def test_create(self, database):
from geru.models.pageviews import PageView
page = PageView(**self.d... | null | etc/geru_code/tests/models/test_pageviews.py | test_pageviews.py | py | 830 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "geru.models.pageviews.PageView",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "geru.models.pageviews.PageView",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "geru.models.pageviews.PageView",
"line_number": 26,
"usage_type": "name"
... |
85690461 | import sqlite3 # open-source sql built into python
# make a connection to a db
conn = sqlite3.connect('my_db') # conect to this db or create a db if doesnt exist and then connect to it
# create a cursor to access members of the db
curs = conn.cursor() # curs is a db access object
# some SQL statements to rea... | null | pyadvanced/some_db/208db_read.py | 208db_read.py | py | 871 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlite3.connect",
"line_number": 4,
"usage_type": "call"
}
] |
280588641 | # -*- encoding: UTF-8 -*-
#!/usr/bin/python3.4
import sys
import subprocess
import datetime
def plot(lst):
i = 0
trying = 100
base_name = 'plot_pipe'
#print(lst)
while (i < trying):
try:
file_name = base_name+str(i)
f = open(file_name, 'w')
for x in lst:
f.write(str(x)+' ')
f.flush()
f.close(... | null | Cauchy_problem/pipe_ploter.py | pipe_ploter.py | py | 1,000 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "subprocess.call",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "subproce... |
277091834 | #!/usr/bin/env python
# coding: utf-8
# # Test for simulated EEG
#
# Authors : Guillaume Dumas
#
# Date : 2020-07-09
from pathlib import Path
from copy import copy
from collections import OrderedDict
import numpy as np
import scipy
from scipy.integrate import odeint
import matplotlib.pyplot as plt... | null | tutorial/simulations.py | simulations.py | py | 5,601 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "mne.Epochs",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.random.randn"... |
55174180 | from abc import abstractmethod
import random
import sys
import threading
from time import time
from spidev import spidev
from util.logger import Logger
try:
import RPi.GPIO as GPIO
except RuntimeError:
print('Error importing RPi.GPIO!'
' This is probably because you need superuser privileges.'
... | null | sensors/adc/adc.py | adc.py | py | 2,563 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.exit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "util.logger.Logger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "spidev.spidev.SpiDe... |
288656633 | import discord
from discord.ext import commands
class botinfo():
def __init__(self, client):
self.client = client
@commands.command()
async def botinfo(self, ctx, *, user: discord.Member=None):
embed=discord.Embed(title="informações do bot", description="essas são minha informações... | null | cogs/botinfo.py | botinfo.py | py | 1,225 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "discord.Member",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "discord.Embed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.command",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discord.... |
13981326 | from copy import copy
from typing import Dict, Type, Any, Optional, TypeVar
from .common import Serializer, Parser, AbstractFactory
from .parsers import create_parser, get_lazy_parser
from .schema import Schema, merge_schema
from .serializers import create_serializer, get_lazy_serializer
from .type_detection import is... | null | dataclass_factory/factory.py | factory.py | py | 4,441 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "schema.Schema",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "naming.NameStyle.ignore",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "naming.NameStyl... |
278766536 | import Orange
from orangecontrib.associate.fpgrowth import *
from scipy.sparse import lil_matrix
import sys
def inferRules(content):
if content == 1:
set = "cars_proc.tab"
minsup = 0.2
minconf = 0.7
elif content == 0:
set = "voting.tab"
minsup = 0.5
minconf = 0.... | null | HW1_p3.py | HW1_p3.py | py | 1,368 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Orange.data.Table",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "Orange.data",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 48,
"usage_type": "call"
}
] |
202061974 | import telebot
from telebot import types
TOKEN = '1017092229:AAGfakUe7TMHtP8MwTDhS6hYXD8wHEmK9X0' # bot token OKDA
bot = telebot.TeleBot(TOKEN)
#memes
def nice(message):
noice = open('img/noice.jpg', 'rb')
bot.send_photo(message.chat.id, noice)
bot.send_message(message.chat.id, "Держи, ёмаё."... | null | config.py | config.py | py | 398 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "telebot.TeleBot",
"line_number": 7,
"usage_type": "call"
}
] |
260084595 | #!/usr/bin/env python
import argparse
import logging
import platform
import os
import subprocess
import time
import yaml
import uuid
def parse_config(config_file) :
logging.info("Loading configuration from %s" % config_file)
config = open(config_file, 'r')
return yaml.load(config)
def main():
# Par... | null | production/bsub_prod.py | bsub_prod.py | py | 4,216 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.info",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
... |
603548270 | import requests
import json
from urllib.parse import urljoin
import urllib3
class BaseClient(object):
def __init__(self, base_url, verify=False, ok_codes=(200, 201, 204), headers=None, auth=None):
self._base_url = base_url
self._verify = verify
self._ok_codes = ok_codes
self._head... | null | src/blueprints/common.py | common.py | py | 3,783 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.Session",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "urllib3.disable_warnings",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urljoin",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.d... |
116228920 | #!/usr/bin/python
import os
import sys
import logging
import urllib.request
import json
import cv2
from concurrent.futures.thread import ThreadPoolExecutor
from progress.bar import Bar
from PIL import Image
import socket
# download function on multi-threads
def download(item_id, url, images_dir, bbox,... | null | download.py | download.py | py | 6,593 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.exists",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numb... |
571327733 | # -*- coding: utf-8 -*-
import numpy as np
import math
import matplotlib.pyplot as plt
def sigmoid(x):
'''
:param x:
:return:
'''
if type(x)!=np.ndarray:
return 1/(1+math.exp(-x))
return 1/(1+np.exp(-x))
#激活函数的偏导数
def sigDer(x):
'''
:param x:
:return:
'''
return sigm... | null | code/torchBp.py | torchBp.py | py | 2,028 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.ndarray",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "math.exp",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number"... |
199685258 | #!/usr/bin/python
from collections import Counter
def main():
print("How many employees will be playing?: ")
try:
count = int(input())
init(count)
except ValueError:
print("Not a number, Pleas try again")
main()
def init(count):
w , h = 8,count
master_list = []
... | null | greenphire.py | greenphire.py | py | 1,762 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.Counter",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 59,
"usage_type": "call"
}
] |
538983773 | """
code to build MEDS files
"""
from __future__ import print_function
import json
import copy
import numpy
from numpy import where, zeros
# external requirements
import fitsio
# esutil is only needed for the Maker, so we will let
# it slide if it is missing
try:
import esutil as eu
have_esutil=True
except:
... | null | meds/maker.py | maker.py | py | 29,287 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "fitsio.FITS",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 235,
"usage_type": "call"
},
{
"api_name": "defaults.default_values",
"line_number": 236,
"usage_type": "name"
},
{
"api_name": "numpy.where",
"... |
269871591 | from django.core.management import BaseCommand, CommandError
from django.test import override_settings
from tickets.models import Order
from tickets.tests import factories
class Command(BaseCommand):
def handle(self, *args, **kwargs):
if Order.objects.count() > 0:
raise CommandError('The data... | null | ironcage/management/commands/generatesampledata.py | generatesampledata.py | py | 827 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.core.management.BaseCommand",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tickets.models.Order.objects.count",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tickets.models.Order.objects",
"line_number": 10,
"usage_type": "att... |
594921209 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Nov 6 2018
Authors:
Nathan De Lara <ndelara@enst.fr>
Quality metrics for graph embeddings
"""
import numpy as np
from scipy import sparse
from scipy.stats import hmean
def dot_modularity(adjacency_matrix, embedding: np.ndarray, features=None, resolutio... | null | sknetwork/embedding/metrics.py | metrics.py | py | 5,458 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.ndarray",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "scipy.sparse.csr_matrix",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "scipy.sparse",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "scipy.sp... |
234598352 | from __future__ import print_function
from __future__ import division
import os
import sys
import torch
import torch.nn as nn
import numpy as np
import scipy as sp
import torch.nn.functional as F
from torch.autograd import Variable
import re
from collections import Mapping, namedtuple, defaultdict, Sequenc... | null | utils/misc.py | misc.py | py | 11,080 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "numpy.random",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "numpy.integer",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.R... |
158691299 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author : Xfell
# Email: xfell96@163.com
# File Name：app
# Date：2018/3/26
from flask import Flask,render_template,abort
import os
import json
app = Flask(__name__)
app.config['TEMPLATES_AUTO_RELOAD'] = True
class File(object):
dircetory = os.path.join(os.path.abspat... | null | challenge_6/app.py | app.py | py | 1,366 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_num... |
115987368 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | null | azure-mgmt-devtestlabs/azure/mgmt/devtestlabs/models/artifact_source_fragment.py | artifact_source_fragment.py | py | 4,157 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "resource.Resource",
"line_number": 15,
"usage_type": "name"
}
] |
27736703 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# Question: Is there a correlation between the relationships between the victim and the perpetrator?
dataArr = pd.read_csv("../data/database.csv")
# remove these columns
dataArr = (dataArr.drop(['Record ID', 'Agency Code','Agency Name','Agency Ty... | null | scripts/q2_relationship_2.py | q2_relationship_2.py | py | 1,237 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.pie",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyp... |
565420388 | from flask import jsonify, request, abort, Response, render_template
from flight import app
from extractor import getData, filterResults
from datetime import datetime
import json
import requests
from weather import getWeather
url = "http://partners.api.skyscanner.net/apiservices/"
@app.route('/', methods=['GET'])
def... | null | src/flight/routes.py | routes.py | py | 5,156 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flight.app.send_from_directory",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flight.app",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flight.app.route",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flight.app... |
207201112 | from app.common.toolbox import doRender
from google.appengine.ext import db
from app.model import *
import datetime
from datetime import date
from app.base_handler import BaseHandler
from app.common.voluptuous import *
import json
import base64
import re
class GetUserHandler(BaseHandler):
def get(self, user_id):
s... | null | app/controllers/users.py | users.py | py | 1,341 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "app.base_handler.BaseHandler",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "app.common.toolbox.doRender",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "app.base_handler.BaseHandler",
"line_number": 24,
"usage_type": "name"
},
{
... |
412228127 | import sys
import cv2
import numpy as np
import math
from random import shuffle
import selectinwindow
# Set recursion limit
sys.setrecursionlimit(10 ** 9)
drawing = False
xi, yi = -1, -1
B = [i for i in range(256)]
G = [i for i in range(256)]
R = [i for i in range(256)]
def nothing(x):
pass
# cv2.createTrackb... | null | mouse_event.py | mouse_event.py | py | 1,357 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.EVENT_LBUTTONDOWN",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "random.shuffle",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.EV... |
571018383 | from redis import StrictRedis
if __name__ == '__main__':
# 创建一个StrictRedis对象，链接redis数据库
try:
sr = StrictRedis()
# 添加一个key,为name,value为Simon
# res = sr.set('name', 'simon')
# print(res)
# 修改name的值为chou
# res = sr.set('name', 'chou')
# 获取name的值
... | null | redis_test/redis_string.py | redis_string.py | py | 629 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "redis.StrictRedis",
"line_number": 6,
"usage_type": "call"
}
] |
531811695 | import tensorflow as tf
from tensorflow.keras import regularizers
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from neural_nets.data_utils import *
from tensorflow.keras import Sequential
from tensorflow.keras.models import load_model
from tensorflow.keras.layers import *
from tensorflow.keras.ca... | null | neural_nets/tensorflow_models/tf_digits_CNN_Data_Gen.py | tf_digits_CNN_Data_Gen.py | py | 5,671 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.initializers.VarianceScaling",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.initializers",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.layers.Conv2D",
"line_number": 20,
"usage_type": "c... |
558568422 | """
The :mod:`spirograph.main` module contains the :function:`main`.
The :function:`main` function, along with it's associated helper functions, will make it easy to draw multiple
spirographs from the command line.
"""
import argparse
import turtle
from spirograph.my_spiro import Spirograph
from spirograph.my_spiro_a... | null | spirograph/main.py | main.py | py | 4,702 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "turtle.setup",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "turtle.shape",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "turtle.title",
... |
107530508 | from jesusanaya_com.models import get_engine, get_session_factory, get_tm_session
from jesusanaya_com.models.meta import Base
import pytest
import transaction
@pytest.fixture(scope="session")
def db_engine(request):
engine = get_engine({"sqlalchemy.url": "sqlite:///:memory:"})
Base.metadata.create_all(engine)... | null | jesusanaya_com/tests/conftest.py | conftest.py | py | 667 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "jesusanaya_com.models.get_engine",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "jesusanaya_com.models.meta.Base.metadata.create_all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "jesusanaya_com.models.meta.Base.metadata",
"line_number":... |
209801353 | #!/usr/bin/env python
import sys
import os
from shutil import copyfile
import time
import itertools
import torch
from torch.autograd import Variable
import torchvision.utils as vutils
from options import TrainOptions, create_sub_dirs
from data import load, AlignedIterator, UnalignedIterator
from model import StochCyc... | null | edges2shoes_exp/train.py | train.py | py | 7,795 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_n... |
233156173 | import pytest
import numpy
import pandas
def pytest_addoption(parser):
parser.addoption("--skip-slow", action="store_true",
help="skip slow tests")
parser.addoption("--skip-network", action="store_true",
help="run network tests")
parser.addoption("--only-slow", a... | null | pandas/conftest.py | conftest.py | py | 1,007 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pytest.skip",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.skip",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pytest.skip",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number... |
127275463 | import json
import sys
import textwrap
from engine import GameEngine
COLUMNS = 80
class Application:
def __init__(self, game, use_audio=True):
if use_audio:
print('Loading hardware ...')
from farmer_says import FarmerSays
print('... done')
self._hardware... | null | src/app_console.py | app_console.py | py | 2,469 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "farmer_says.FarmerSays",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "engine.GameEngine",
"l... |
468552044 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 19 15:52:19 2020
@author: Karan
"""
import time
import requests
import io
import os
import hashlib
from selenium import webdriver
from PIL import Image
def fetch_image_urls(query, max_links_to_fetch, wd, sleep_between_interactions=1):
def scroll_to_end(wd):
... | null | scrapper.py | scrapper.py | py | 3,730 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.sleep",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 73... |
536325315 | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from functools import partial
from odoo import api, fields, models, _
from odoo.exceptions import UserError
from odoo.tools.misc import formatLang
class AccountInvoice(models.Model):
_inherit = "account.invoice"
... | null | tax_margin/models/account_invoice.py | account_invoice.py | py | 16,586 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "odoo.models.Model",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Boolean",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "odoo.fields",
... |
620613938 | import cv2 as cv
import numpy as np
blank = np.zeros((400,400), dtype='uint8')
rectangle = cv.rectangle(blank.copy(),(30,30),(370,370),255,-1)
circle = cv.circle(blank.copy(),(200,200),200,255,-1)
cv.imshow('Rectangle',rectangle)
cv.imshow('Circle',circle)
#bitwise And
bitwise_and = cv.bitwise_and(rectangle,circle)... | null | bitwise.py | bitwise.py | py | 433 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.zeros",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.circle",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 9,
... |
138650590 | #!/usr/bin/env python
import argparse
import json
import logging
import sys
import time
import requests
"""
Fetches events from Remora and ingests into KairosDB.
"""
KAIROS_WRITE_PATH = "/api/v1/datapoints"
def sum_lag(consumer_group_name, consumer_group_data):
metrics = {}
for partition in consumer_grou... | null | remora-fetcher.py | remora-fetcher.py | py | 3,728 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.time",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": ... |
71224660 | import numpy as np
import astropy.units as u
from astropy import constants as const
from astropy.table import QTable
from glue.core.message import (SubsetCreateMessage,
SubsetDeleteMessage,
SubsetUpdateMessage)
from traitlets import Bool, Float, Int, List, U... | null | jdaviz/configs/default/plugins/line_lists/line_lists.py | line_lists.py | py | 26,894 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "jdaviz.core.template_mixin.TemplateMixin",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "traitlets.Bool",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "traitlets.Bool",
"line_number": 30,
"usage_type": "call"
},
{
"api_name":... |
540167651 | import argparse
import contextlib
import json
import logging
import os
import shutil
import subprocess
import unicodedata
import fs
from typing import (
Dict,
IO,
Iterator,
Tuple,
)
EXTENSIONS = (
'.flac',
'.m4a',
'.mp3',
'.mp4',
'.opus',
'.wma',
)
parser = argparse.ArgumentP... | null | ghettosync.py | ghettosync.py | py | 5,652 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "logging... |
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