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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
221281928 | from __future__ import absolute_import
import os
import sys
from collections import namedtuple
from six.moves import zip
# We should aspire to create batches of less than 15 python files
# although this is not a strict limit. Setting a target of 10 files,
# will on average yield batches of 10-15.
TARGET_FILE_NUMBER =... | null | scripts/create_incr_tickets.py | create_incr_tickets.py | py | 6,221 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "six.moves.zip",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 117,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number"... |
109172225 | # -*- coding: utf-8 -*-
# Importing Scrapy Library
import scrapy
from bs4 import BeautifulSoup
from amazon_scraper.items import AmazonItem
# Creating a new class to implement Spider
class AmazonReviewsSpider(scrapy.Spider):
# Spider name
name = 'amazon_reviews'
# Domain names to scrape
allowed_domai... | null | amazon_scraper/amazon_scraper/spiders/amazon_reviews_spider.py | amazon_reviews_spider.py | py | 3,630 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.Spider",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "amazon_scraper.items.AmazonItem",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "... |
498024323 | from datetime import datetime
import pygame
from pygame.locals import *
import time
import os, sys
import planet
import company
import solarsystem
import datetime
import primitives
import global_variables
import gui
import random
import importlib
importlib.reload(sys)
if hasattr(sys,"setdefaultencoding")... | null | highfrontier/src/highfrontier/main.py | main.py | py | 8,342 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "importlib.reload",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.setdefaultencoding",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "global_variables.window_size",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_nam... |
360638790 | from flask import Flask, render_template, request, redirect
from flask_sqlalchemy import SQLAlchemy # instead of mysqlconnection
from sqlalchemy.sql import func
from flask_migrate import Migrate # this is new
app = Flask(__name__)
# configurations to tell our app about the database we'll be connecting to
app.config... | null | python/OOP/first_orm_project/app.py | app.py | py | 2,015 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_migrate.Migrate",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalche... |
414129203 | import scipy.signal as signal
from numpy import *
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
from matplotlib.mlab import psd
def selfpsd(x, NFFT=None, Fs=None, Fc=None, detrend=None,
window=None, noverlap=None, pad_to=None,
sides=None, scale_by_freq=None):
if Fc is N... | null | self_psd.py | self_psd.py | py | 3,551 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.mlab.psd",
"line_number": 15,
"usage_type": "call"
}
] |
452881240 | #coding=utf-8
'''
Created on 2012-12-11
@author: Administrator
'''
import logging.config
from logging.handlers import RotatingFileHandler
class Logging:
logDir = "/opt/netbase4/log"
__inited = False
@staticmethod
def _initLogConf():
logging.config.fileConfig(Logging.logDir + "/log... | null | products/netUtils/logger.py | logger.py | py | 1,208 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.config.config.fileConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.config.config",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "logging.config",
"line_number": 19,
"usage_type": "name"
},
{
"api_na... |
287130152 | from django.shortcuts import render
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from rest_framework.authentication import TokenAuthentication
from rest_framework import filters
from rest_framework.authtoken.views import ObtainAuthToken
from re... | null | rest/profilr_api/views.py | views.py | py | 3,997 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 39,
"usage_type": "call"
... |
570324496 | import sys
import os
import numpy as np
import argparse
def hextobin(hex_string):
bin_string = bin(int(hex_string,16))[2:]
return bin_string
def signPermutation(p):
# explicitly using cycle notation of permutation
# input: p is a list of permutation indices
# i.e. [x_sorted, p] = sort(x_unsorted)
n = len(p)
... | null | parse_ci_vectors.py | parse_ci_vectors.py | py | 3,619 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isfile",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
"line_number... |
63878060 | import RPi.GPIO as GPIO
import signal
from flask import Flask, render_template, Response, request
from camera import Camera
from motor import Motor
pin_status_led = 17
app = Flask(__name__)
camera = Camera()
camera.setDaemon(True)
camera.start()
motor = Motor(pin_a1 = 21, pin_a2 = 20, pin_b1 = 16, pin_b2 = 12)
moto... | null | server/app.py | app.py | py | 1,499 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "camera.Camera",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "camera.setDaemon",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "camera.start",
"line_nu... |
651698723 | # _*_coding:utf-8_*_
import xml.etree.ElementTree as ET
tree = ET.parse("movies_1.xml")
root = tree.getroot()
for child in root.findall('movie'):
child.remove(child.find('format'))
studio = ET.Element('studio')
studio.text = 'XX'
child.append(studio)
tree.write('movies_new.xml')
| null | XML/ET_xml_1.py | ET_xml_1.py | py | 301 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 11,
"usage_type": "call"
},
{
"api... |
340444937 | from collections import defaultdict
import heapq
class DirectedEdge:
def __init__(self, origin, dest, length):
self.origin, self.dest, self.length = origin, dest, length
class Vertex:
def __init__(self, name, edges = []):
self.name, self.edges = name, edges
def __lt__(self, other): # Irrelevant, but ne... | null | py/dijkstra_fewest_edges.py | dijkstra_fewest_edges.py | py | 2,034 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.defaultdict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "heapq.h... |
627783398 | #!/usr/bin/env python
# coding=utf-8
# @Time : 2018-12-09 下午5:22
# @Author : wuyunzhen
# @File : tools.py
# @Product : PyCharm
# @Docs : 工具类
# @Source :
import os
import json
from collections import defaultdict
from werkzeug.datastructures import ImmutableMultiDict... | null | Aomp_vrc_tmp/common/tools.py | tools.py | py | 5,391 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "xmltodict.parse",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "xmltodict.parse",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "json.loads",
"lin... |
268261756 | ######################################################################
#
# File: b2/console_tool.py
#
# Copyright 2018 Backblaze Inc. All Rights Reserved.
#
# License https://www.backblaze.com/using_b2_code.html
#
######################################################################
from __future__ import absolute_im... | null | b2/console_tool.py | console_tool.py | py | 53,763 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "account_info.sqlite_account_info.B2_ACCOUNT_INFO_ENV_VAR",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "account_info.sqlite_account_info.B2_ACCOUNT_INFO_DEFAULT_FILE",
"l... |
600811290 | import mysql.connector
from mysql.connector import errorcode
import os
from dotenv import load_dotenv
from sklearn.feature_extraction.text import TfidfVectorizer
from operator import itemgetter
from datetime import datetime, timedelta
import csv
import json
load_dotenv()
config = {
'user': os.getenv("MYSQL_USER")... | null | analysis_corpus.py | analysis_corpus.py | py | 4,054 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number":... |
575214129 | from django.contrib import admin
from django.contrib.auth.models import User, Group
from .models import *
@admin.register(UserStatus)
class UserStatusAdmin(admin.ModelAdmin):
list_display = (
'id', 'status',
)
search_fields = ['id', 'status', ]
@admin.register(User)
class UserAdmin(admin.ModelA... | null | apps/login_registration/admin.py | admin.py | py | 813 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 6,
"usage_type": "call"
},
{
... |
393653020 | import time
import datetime
import json
import redis
from .control import Control
from nanpy import (ArduinoApi, SerialManager)
default_connection = SerialManager(device='/dev/ttyUSB0')
# r = redis.Redis(host='127.0.0.1', port=6379)
class ButtonControl(Control):
def __init__(self, pin, name=None, key=None, conne... | null | controls/arduino/button_control.py | button_control.py | py | 1,261 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nanpy.SerialManager",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "control.Control",
"line_number": 11,
"usage_type": "name"
}
] |
642483098 | from django.conf.urls import url, include
from . import views
app_name = 'main'
urlpatterns = [
url(r'^$', views.main_index, name='index'),
url(r'^gloabl_search[/]?$', views.global_search, name='global_search'),
url(r'^my_account[/]?$', views.my_account, name='my_account'),
url(r'^login[/]?$', views.... | null | main/urls.py | urls.py | py | 3,146 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.c... |
415534661 | import sqlalchemy as sa
from .base import metadata
study_tags = sa.Table(
"study_tags",
metadata,
sa.Column(
"study_id",
sa.BigInteger,
sa.ForeignKey("projects.id", onupdate="CASCADE", ondelete="CASCADE"),
nullable=False,
),
sa.Column(
"tag_id",
sa.B... | null | packages/postgres-database/src/simcore_postgres_database/models/tags.py | tags.py | py | 921 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.Table",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "base.metadata",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.BigInteg... |
236963906 | from firebase import Firebase
import calendar
import time
from firebase import Firebase
import datetime as dt
from datetime import datetime
rootRef = Firebase('https://iot-s613420.firebaseio.com/Aquaponics/System/Logs')
def send(type, compenent, description):
year = str(datetime.now().strftime('%Y'))
month = str(... | null | wamp/v1/firebase_log_2.py | firebase_log_2.py | py | 714 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "firebase.Firebase",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.dat... |
524169413 | import sys
import argparse
from app.core.console import runner
def main(shell_arguments):
"""
Verifica a opção utilizado e executa comando correspondente
:param shell_arguments: shell_arguments
:return: void
"""
args = parse_command_line(shell_arguments)
if args.dbmigrate is not None:
... | null | fava.py | fava.py | py | 2,548 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.core.console.runner.migrate",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "app.core.console.runner",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "app.core.console.runner.runSeeder",
"line_number": 19,
"usage_type": "call"
},
... |
408641151 | import numpy as np
import math
import matplotlib.pyplot as plt
m=1.
c=0.1
k=1.
dt=0.01
def eom(x,dx,u):
return (u-c*dx-k*np.sin(x))/m
#return (u-c*dx-k*x)/m
def next_state(x,dx,u):
kx1 = dx
kdx1 = eom(x,dx,u)
kx2 = dx+kdx1*dt/2.
kdx2 = eom(x+kx1*dt/2.,dx+kdx1*dt/2.,u)
kx3 = dx+kdx2*dt... | null | preliminary/bode/bode3/experimental_bode.py | experimental_bode.py | py | 3,974 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.sin",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 46... |
549093434 | # encoding: utf-8
import datetime
from WindPy import w
from data_access.db_data_collection import DataCollection
from back_test.model.constant import Util
from Utilities import admin_write_util as admin
import pandas as pd
import numpy as np
w.start()
# date = datetime.date.today()
date = datetime.date(2019,1,28)
d... | null | data_access/insert_daily_data.py | insert_daily_data.py | py | 8,523 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "WindPy.w.start",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "WindPy.w",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Utilities.admin_write_util.conn... |
532727011 | from django import forms
from rentals.models import Booking
from django.core.exceptions import ValidationError
from datetime import timedelta
class BookingForm(forms.ModelForm):
class Meta:
model = Booking
fields = ('car', 'start_time', 'duration_hrs')
def clean(self, *args, **kwargs):
... | null | tinycar/rentals/forms.py | forms.py | py | 848 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "rentals.models.Booking",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime... |
310569730 | '''
This takes the bitalino openRevoution sensor EDA data froma txt file
And extracts the basic features from the EDA.
Author : Santhosh Nayak (santhoshnayak0903@gmail.com) \ Gautam Sawala
date : 16 -02- 2018
'''
import numpy as np
import matplotlib.pyplot as plt
import biosppy as bs
#load the data fromthe file
x = n... | null | old/read_eda.py | read_eda.py | py | 1,495 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.loadtxt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot"... |
349887011 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import requests
from collections import defaultdict
import os
import datetime
from slack import WebClient
import argparse
# from random import randrange
from bisect import bisect_right
import hashlib
import jpholiday
# Example:
# python relayscheduler.py
#
post_to_slack ... | null | relayscheduler.py | relayscheduler.py | py | 10,101 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "hashlib.sha256",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "bisect.bisect_right",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "jpholiday.is_holid... |
637322774 | import param
import panel as pn
import pandas as pd
import geopandas as gpd
import holoviews as hv
from vizApps.services.viz.progressExtModule import ProgressExtMod
from vizApps.domain.TypeVizEnum import TypeVizEnum
from vizApps.Utils.geomUtils import GeomUtil
from holoviews import Overlay, NdOverlay, Dimension
from... | null | vizApps/services/trace/traceParam.py | traceParam.py | py | 4,244 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "vizApps.domain.TypeVizEnum.TypeVizEnum.CHOROPLETH_MAP",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "vizApps.domain.TypeVizEnum.TypeVizEnum",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "vizApps.domain.TypeVizEnum.TypeVizEnum.POINT_MA... |
462597061 | import random
import torch
from utils import to_one_hot, to_one_hot_multiple
import torch.nn as nn
import torch.nn.functional as F
class Memory(object):
def __init__(self):
self.buffer = []
class PolicyNetwork(nn.Module):
def __init__(self, input_dim, output_dim):
super().__init__()
... | null | agents/RegretMinimizationAgent.py | RegretMinimizationAgent.py | py | 3,112 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
211875021 | """
This contains a range of functions required to correct for the
Magnetisation Transfer effect visible in the HCP data.
"""
import json
from pathlib import Path
from fsl.wrappers import fslmaths, LOAD, bet, fast
from fsl.data.image import Image
import numpy as np
from .initial_bookkeeping import create_dirs
import ... | null | hcpasl/m0_mt_correction.py | m0_mt_correction.py | py | 4,159 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 68... |
193298265 | """
TCKDB backend app models freq module
"""
from sqlalchemy import Column, Float, Integer, String
from tckdb.backend.app.db.base_class import Base
from tckdb.backend.app.models.common import JSONEncodedDict, MutableDict
class Freq(Base):
"""
A class for representing a TCKDB Freq item (frequency scaling fac... | null | tckdb/backend/app/models/freq.py | freq.py | py | 2,961 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tckdb.backend.app.db.base_class.Base",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 33,
"usage_type": "argument"
},
{
"api... |
8692473 | from django.contrib import admin
from django.conf.urls import include, url
urlpatterns = [
url(r"^admin/", admin.site.urls),
url(
r"^api/oembed/",
include("oembedservice.urls", namespace="oembedservice"),
),
url(
r"^api/s3imageservice/",
include("s3imageservice.urls", na... | null | politicoservicesapi/urls.py | urls.py | py | 356 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": ... |
472124374 | import pandas as pd
import numpy as np
from utils.cat_id import cat_id_list
from scipy.stats.mstats import gmean
from tqdm import tqdm
import torch
logits_path = 'logits/'
pred_names = ['seres50_8920_53.npy', 'seres50_8912_62.npy', 'seres50_8911_74.npy', 'seres50_8916_86.npy']
infer_path = 'data/test/test_simplified.c... | null | save_predictions.py | save_predictions.py | py | 1,442 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utils.cat_id.cat_id_list",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",... |
634999212 | # -*- coding: utf-8 -*-
"""
Created on Mon Aug 31 23:38:02 2020
@author: BT
"""
# Common imports
import tensorflow as tf
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from utils import generate_time_series, generate_data, plot_series, plot_learning_curves
from utils import plot_multipl... | null | DL/15_RNNs/2_forecasting_several_timestep.py | 2_forecasting_several_timestep.py | py | 13,714 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.random.set_seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensor... |
209973004 | # -*- coding: utf-8 -*-
import vk
import config
session = vk.Session(config.ACCESS_TOKEN)
api = vk.API(session)
def getLen(uid):
audio = api.audio.get(owner_id=uid)
play = []
for lenght in audio:
play.append(lenght)
return len(play)
def main():
audio = api.audio.get(owner_id=config.UID)... | null | playlist.py | playlist.py | py | 638 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "vk.Session",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "config.ACCESS_TOKEN",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "vk.API",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "config.UID",
"line_number... |
495830691 | import json
import math
import numpy as np
import os
from tqdm import tqdm
from sklearn.model_selection import KFold
import codecs
from tools.conlleval import evaluate_conll_file
from keras import backend as K
from tools.load_embedding_matrix import load_embedding
from bilm import TokenBatcher
from inputs.data_process... | null | train_elmo_gru_locaatt.py | train_elmo_gru_locaatt.py | py | 12,988 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 20... |
194050611 | #!/Users/Jonman/anaconda/bin/python3
import asyncio as snc
props = dir( snc)
print( "Printing each item in the asyncio library")
for i in props:
print( i)
print( "Printing subitems from everything in the asyncio library")
for i in props:
print( dir( i))
snc.sleep
snc.create_subprocess_exec( pr... | null | the_asyncio.py | the_asyncio.py | py | 543 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "asyncio.sleep",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "asyncio.create_subprocess_exec",
"line_number": 17,
"usage_type": "call"
}
] |
353252553 | """Scripts to parse Facebook message history.
Written by Shoyo Inokuchi (May 2019).
"""
import collections
import datetime
import json
import utils
def most_frequent_words():
"""Return most frequently used words in a conversation."""
conv_dir = utils.get_conversation_path()
user_json_file = f'{conv_dir... | null | src/most-freq-words.py | most-freq-words.py | py | 1,274 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utils.get_conversation_path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 21,
"usage_type": "call"
}
] |
521346932 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# pylint: disable=W0613, C0116
# type: ignore[union-attr]
# This program is dedicated to the public domain under the CC0 license.
"""
Simple Bot to reply to Telegram messages.
First, a few handler functions are defined. Then, those functions are passed to
the Dispatcher a... | null | app.py | app.py | py | 10,842 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.environ",
... |
342044652 | import datetime as dt
import math
import os
import numpy as np
import pandas as pd
import pytest
from refet.daily import Daily
import refet.units as units
# Test daily functions using actual RefET input/output files
# DEADBEEF - This doesn't work if I move it to conftest.py
class DailyData():
"""Setup daily val... | null | tests/test_daily_refet_output.py | test_daily_refet_output.py | py | 6,156 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number":... |
184593668 | # encoding: utf-8
"""
@version:3.6
@author:lamplight
@file:02.py
@time:2018/1/919:23
"""
# url
# img_list = []
# url = '../../upload/2017-06/17060705015645.jpg'
# filename = url.split('/')[2:4]
# # filename = url.split('/')[4].split('.jpg')
# # del filename[1]
# # del filename[0]
# # filename = str(filename).replace(' ... | null | 24fa/02.py | 02.py | py | 3,196 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
141704597 | #!/usr/bin/env python
# -----------------------------------------------------
# Written by Zhu Lingfeng on 2021/3/28.
# -----------------------------------------------------
import sys
from pycocotools.coco_analyze import COCOAnalyze, my_plot
annFile = sys.argv[1]
coco = COCOAnalyze(annFile)
# get all cats
catNms =... | null | PythonAPI/scripts/analyze.py | analyze.py | py | 662 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pycocotools.coco_analyze.COCOAnalyze",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pycocotools.coco_analyze.my_plot",
"line_number": 22,
"usage_type": "call"
},
{
... |
619935008 | from django.shortcuts import render_to_response
from django.template import RequestContext
from markitup_field.settings import MARKUP_FILTERS
def apply_filter(request):
markup = request.POST.get('data', '')
markup_format = request.POST.get('markup_format', 'text')
rendered = MARKUP_FILTERS[markup_format](... | null | markitup_field/views.py | views.py | py | 464 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "markitup_field.settings.MARKUP_FILTERS",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.template.RequestContext",
"line_number": 12,
"usage_type... |
510490857 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# __author__:"付恒大"
import configparser
config = configparser.ConfigParser()
config.read('example.ini')
# sections返回所有的配置部分名称，没有DEFAULT。
se = config.sections()
print(se)
user = config['bitbucket.org']['User']
print(user)
for key in config['topsecret.server.com']:
pr... | null | oldboy/day05-常用模块学习/CONFIGPARSER模块/configparser模块读操作.py | configparser模块读操作.py | py | 365 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 7,
"usage_type": "call"
}
] |
166064156 | from .scene import Scene
from ui import Text, Button, TextInput
from pyglet.window.mouse import *
from os import path
from PIL import Image
from util.image_vwr import ImageViewer
import imghdr
class ImageUploadScreen(Scene):
def __init__(self, window, bus, manager):
super().__init__(window, bus, draw_waves... | null | scenes/c_image_upload.py | c_image_upload.py | py | 3,035 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scene.Scene",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "ui.Text",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ui.Text",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ui.Text",
"line_number": 19,
"usag... |
621691351 | #!/usr/bin/env python3.6
# -*- coding: utf-8 -*-
"""
YouTube player instance.
References:
https://github.com/Rapptz/discord.py/blob/rewrite/examples/playlist.py
Deprecated: Currently in a broken state, unfortunately.
===
MIT License
Copyright (c) 2018 Neko404NotFound
Permission is hereby granted, free of ... | null | neko2/cogs/.deprecated/beats.py | beats.py | py | 11,065 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "discord.opus.is_loaded",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "discord.opus",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "os.name",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "discord.opus.lo... |
266427505 | from peak.api import *
from interfaces import *
from model import *
from peak.util.signature import ISignature
from sets import Set
from peak.storage.interfaces import ISQLConnection
from peak.util.Graph import Graph
__all__ = [
'titleAsPropertyName', 'titleAsMethodName', 'DocumentProcessor',
'AbstractProcesso... | null | PEAK-0.5a4dev_r2085/build/lib.macosx-10.6-x86_64-2.7/peak/ddt/processors.py | processors.py | py | 30,007 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 101,
"usage_type": "name"
},
{
"api_name": "model.Repr",
"line_number": 489,
"usage_type": "attribute"
},
{
"api_name": "model.Repr... |
622869777 | # -*- coding: utf-8 -*-
''' A library that provides a Python interface to the ClickMeeting API'''
__author__ = 'Emil Balashov'
__version__ = '0.0.4'
import requests
API_SERVER = 'https://api.clickmeeting.com/v1/conferences/'
MEETING = 'meeting'
WEBINAR = 'webinar'
ACTIVE = 'active'
INACTIVE = 'inactive'
ACCESS_TYP... | null | clickmeeting/clickmeeting.py | clickmeeting.py | py | 7,408 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "requests.put",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "requests.delete",
"line_n... |
330955946 | #!/usr/bin/env python3
"""
bit.py - Return current Bitcoin exchange rate.
"""
import urllib.request, json
from bs4 import BeautifulSoup
def bitcash():
location = 'https://coinmarketcap.com/currencies/bitcoin-cash/'
request = urllib.request.Request(location)
request.add_header('User-Agent', 'Mozilla/5.0 (Macintosh;... | null | modules/bitcoin.py | bitcoin.py | py | 1,654 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib.request.request.Request",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_nam... |
167605911 | from flask import Blueprint, jsonify, request
from user.user_service import UserService
user = Blueprint('user', __name__)
@user.route('/', methods=['GET', 'POST'])
@user.route('/<int:id>', methods=['GET', 'POST'])
def index(id=None):
if request.method == 'POST':
resp = {'status': 'POST'}
service ... | null | user/view.py | view.py | py | 613 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "user.user_service",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "flask.Blueprint",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
647017060 |
from pathlib import Path
import click
from dtoolcore import DataSet
from mask_to_centroid_overlay import mask_to_overlay_segment
def mass_centroid_annotation(images_ds, masks_fpath):
metadata = images_ds.get_overlay('filename_metadata')
try:
cn_overlay = images_ds.get_overlay('seed_centroids')
... | null | scripts/data_handling/mass_centroid_annotation.py | mass_centroid_annotation.py | py | 952 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mask_to_centroid_overlay.mask_to_overlay_segment",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "dtoolcore.DataSet.from_uri",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "dtoolcore.DataSet",
"line_number": 33,
"usage_type": "name"
... |
287685338 | import click
import matplotlib.pyplot as plt
import os
import shutil
from skimage.io import imread
# Our modules
import ruler_detection
import binarization
import tracing
import measurement
@click.command()
@click.option('--input', help='Input directory of images')
@click.option('--output', help='Output directory of... | null | pipeline.py | pipeline.py | py | 1,532 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "shutil.rmtree",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number... |
97119917 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import wagtail.wagtailcore.blocks
import wagtail.wagtailcore.fields
import wagtail.wagtailimages.blocks
class Migration(migrations.Migration):
dependencies = [
('wagtailcore', '0019_verbose_names_cle... | null | app/core/migrations/0006_auto_20151010_2055.py | 0006_auto_20151010_2055.py | py | 1,355 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 18,
"usage_type": "call"
},
... |
506816222 | import mysql.connector
import numpy as np
import keras
from keras.models import load_model
from sklearn.externals import joblib
con = mysql.connector.connect(user='root', database='dell',host='localhost',password='')
con.autocommit = True
cur = con.cursor()
cur.execute("SELECT merch_id,trans_amt,is_declined,tnodecpe... | null | predict.py | predict.py | py | 1,462 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 8,
"usage_type": "name"
},
{
"api... |
13221367 | import argparse
import boto3
from library.util.SpockMap import SpockMap
from library.util.SpockMap import parse_sfo_version
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Building SPOCK Map")
parser.add_argument("-p", "--path", required=True, help="Opens or Creates a file that would ... | null | SpockBuildMap.py | SpockBuildMap.py | py | 972 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "library.util.SpockMap.parse_sfo_version",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "library.util.SpockMap.SpockMap",
"line_number": 16,
"usage_type": "call"
... |
521164539 | from unittest import mock
from mitmproxy.addons import browser
from mitmproxy.test import taddons
def test_browser(caplog):
caplog.set_level("INFO")
with mock.patch("subprocess.Popen") as po, mock.patch(
"shutil.which"
) as which, taddons.context():
which.return_value = "chrome"
b... | null | test/mitmproxy/addons/test_browser.py | test_browser.py | py | 2,094 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.mock.patch",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "unittest.mock",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "mitmproxy.test.taddons.context",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mitmpr... |
287418190 | from collections import defaultdict, Counter, deque
class Solution:
def alienOrder(self, words: List[str]) -> str:
'''
Topological Sorting / BFS
'''
adj_list = defaultdict(set)
in_degree = Counter({c : 0 for word in words for c in word})
... | null | 269_AlienDictionary/269_AlienDictionary.py | 269_AlienDictionary.py | py | 1,636 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 22,
"usage_type": "call"
}
] |
317076209 | import torch
from collections import defaultdict, OrderedDict
from torch.serialization import default_restore_location
import os
def make_positions(tensor, padding_idx, left_pad, onnx_trace=False):
"""Replace non-padding symbols with their position numbers.
Position numbers begin at padding_idx+1.
Padding... | null | aweseq/utils/misc.py | misc.py | py | 4,970 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch._dim_arange",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.arange",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",... |
369402801 | # This file contains a selection of public pdfs that are used within
# the Plenum notebooks
from core.tools import *
import numpy as np
import scipy
class EffectiveAreas(object):
r''' This class loads the public effective areas
and allows to use it within the analyses
'''
def __init__(self, path='.... | null | core/analysis_tools/public_pdfs.py | public_pdfs.py | py | 5,502 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.arange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number"... |
85782657 | import requests
import datetime
from bs4 import BeautifulSoup
import json
import csv
today = str(datetime.datetime.now().date())
# Create a list of dictionaries for JSON Object
response = []
songs = list()
artist = list()
chartNumbers = list()
streams = list()
# Scrape APNewsBriefs with requests
url = 'https://spo... | null | spotify.py | spotify.py | py | 1,354 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.Beautiful... |
480488528 | import Crypto.PublicKey.RSA
import argparse
import re
import sys
############################
## Wiener's Attack module ##
############################
# Calculates bitlength
def bitlength(x):
assert x >= 0
n = 0
while x > 0:
n = n+1
x = x>>1
return n
# Squareroots an integer
def isqrt(n):
if n < 0:
raise... | null | rsa/wieners_attack.py | wieners_attack.py | py | 3,525 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 125,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 127,
"usage_type": "call"
},
{
"api_name": "Crypto.PublicKey.RS... |
608496979 | # -*- coding=utf-8 -*-
"""
# Copyright (c) 2020 PaddlePaddle Authors. 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... | null | models/treebased/tdm/model.py | model.py | py | 21,558 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "paddlerec.core.model.ModelBase",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "paddlerec.core.model.ModelBase.__init__",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "paddlerec.core.model.ModelBase",
"line_number": 26,
"usage_type": ... |
273481498 | # -*- coding: utf-8 -*-
import mock
import pytest
from h.api.search import transform
@pytest.mark.parametrize("ann_in,ann_out", [
# Preserves the basics
({}, {}),
({"other": "keys", "left": "alone"}, {"other": "keys", "left": "alone"}),
# Target field
({"target": "hello"}, {"target": "hello"}),
... | null | h/api/search/test/transform_test.py | transform_test.py | py | 2,839 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "h.api.search.transform.prepare",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "h.api.search.transform",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 8,
"usage_type": "call"
},
{
"api_... |
251802543 | #
# Copyright (c) 2015 EUROGICIEL
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | null | sticks/api/v1/datamodels/ticket.py | ticket.py | py | 1,611 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sticks.api.v1.datamodels.base.Base",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sticks.api.v1.datamodels.base",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "wsme.types.text",
"line_number": 28,
"usage_type": "attribute"
},... |
257300921 | """ Welborn Productions - MiddleWare - Requests
Handles requests coming in to welbornprod.
"""
import logging
import re
from os.path import isfile
from django.conf import settings
from django.http import HttpResponse
log = logging.getLogger('wp.middleware.requests')
def get_remote_host(request):
""" Returns... | null | middleware/requests.py | requests.py | py | 4,952 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.SECRET_BAN_FILE",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 49,
"usage_type": "name"
},
{
"... |
179740752 | """
Numpy API for xcape.
"""
from functools import reduce
import numpy as np
import dask.array as da
from .duck_array_ops import (reshape, ravel_multi_index, concatenate,
broadcast_arrays)
from .cape_fortran import cape as _cape_fortran
from .cape_numba import cape as _cape_numba
from .sr... | null | src/xcape/core.py | core.py | py | 12,593 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "functools.reduce",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.atleast_2d",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"... |
432281580 |
## ! dependency modul ##
import modulderive
import mqtt
import sqlite3
import time
import base64
##! database connection
conn = sqlite3.connect('/root/dev/proyek/satpam.sq3')
print ("Opened database successfully");
print ("==========================================")
# def fungsi1():
# cursor = conn.execute("sele... | null | allsystem.py | allsystem.py | py | 3,244 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "modulderive.enkrip",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "modulderive.enkrip",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "base64.b64encode... |
291983825 | __author__ = 'user'
import logging
from logging import handlers
import zmq
import event_processor_api
import multiprocessing as mp
file_name = '/opt/pokerist/processor/worker_trigger_logs/worker.log'
worker_logger = logging.getLogger('worker_logger')
worker_handler = handlers.RotatingFileHandler(file_name, maxByte... | null | future_prod/event_trigger_worker.py | event_trigger_worker.py | py | 2,167 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.handlers.RotatingFileHandler",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.handlers",
"line_number": 14,
"usage_type": "name"
},
{
"api_name"... |
195394713 | import unittest
from datetime import datetime
from unittest.mock import MagicMock
from iso8601 import iso8601
from jsonschema import ValidationError
from parameterized import parameterized
from application.data_validator import DataValidator
class CompleteValidatorTests(unittest.TestCase):
@classmethod
def ... | null | tests/complete_validator_tests.py | complete_validator_tests.py | py | 2,844 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "application.data_validator.DataValidator",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "jsonschema.ValidationError",
"line_number": 22,
"usage_type": "argument"
... |
72343624 | from django.db import models
from .car_options import Car_options
class Cab(models.Model):
car = models.ForeignKey(Car_options, on_delete=models.CASCADE)
name = models.CharField(max_length=50, default="")
number_plate = models.CharField(max_length=50, default="")
air_conditioned = models.BooleanField(default=True)... | null | Travel/models/cabs.py | cabs.py | py | 578 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": ... |
227695711 | import unittest
from fairtest.modules.metrics.regression import *
import rpy2.robjects as ro
from rpy2.robjects import numpy2ri
import numpy as np
from . import assertAlmostEqualTuples
class TestingMutualInfo(unittest.TestCase):
def setUp(self):
numpy2ri.activate()
ro.r('set.seed({})'.format(0))
... | null | src/fairtest/tests/modules/metrics/test_regression.py | test_regression.py | py | 767 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rpy2.robjects.numpy2ri.activate",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "rpy2.robjects.numpy2ri",
"line_number": 11,
"usage_type": "name"
},
{
"api_... |
288065646 | # 최소 스패닝 트리
# 시간 : 2시간
# 구현 아이디어 : 프림알고리즘을 이용한 풀이
# 시간복잡도는 O(n^2)으로 크루스칼알고리즘(Elog2E)보다 느리다.
import sys
from heapq import heapify, heappop, heappush
from collections import defaultdict
input = sys.stdin.readline
v, e = map(int, input().split())
adj = defaultdict(list)
for i in range(e):
e1, e2, w = map(int, input()... | null | November,2020~July,2021/2021-01-22/1197_이승민_최소스패닝트리.py | 1197_이승민_최소스패닝트리.py | py | 1,278 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.stdin",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "heapq.heapify",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
... |
610448839 | import tweepy
import queue
from time import time
import threading
from .Records import Records
from .StreamListenerHelpers import StreamListenerHelpers
from .StreamListenerFilters import StreamListenerFilters
from .Models import Contest
from .QueueWorker import QueueWorker
from .TextTools import TextTools
class Stream... | null | src/mod/StreamListener.py | StreamListener.py | py | 9,998 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tweepy.StreamListener",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tweepy.StreamListener.__init__",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tweepy.StreamListener",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
100653798 | from django.shortcuts import render, redirect
from datawisata.models import Datawisata
from datawisata.forms import FormDataWisata
def datawisata(request):
datawisatas = Datawisata.objects.all()
konteks = {
'datawisatas' : datawisatas,
}
return render(request, 'datawisata.html', k... | null | wisatajogja/datawisata/views.py | views.py | py | 1,728 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datawisata.models.Datawisata.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datawisata.models.Datawisata.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datawisata.models.Datawisata",
"line_number": 9,
"usage_... |
447254498 | import argparse
import difflib
import pathlib
import shutil
from typing import Callable, List, Optional, Tuple
from . import utils
class HtmlDiffFileWriter:
def __init__(self, target_folder: pathlib.Path, wrapcolumn: int, tabsize: int) -> None:
self.target_folder = target_folder
self.differ = di... | null | universum/analyzers/diff_utils.py | diff_utils.py | py | 5,600 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "difflib.HtmlDiff",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
... |
111407131 | """
Some util functions for constructing neural networks.
"""
import theano
import theano.tensor as T
# from theano.printing import pydotprint
import numpy as np
import pyrl.layers as layers
import pyrl.optimizers as optimizers
import pyrl.agents.arch as arch
from pyrl.utils import make_minibatch_x_y
class Feedforwa... | null | pyrl/algorithms/nn.py | nn.py | py | 3,366 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "theano.tensor.matrix",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "theano.tensor",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pyrl.agents.arch.model_params",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": ... |
118192744 | #!/usr/bin/env python
from os import path
from setuptools import setup, find_packages
def read(name):
return open(path.join(path.dirname(__file__), name)).read()
def runtests():
from django.conf import settings
from django.core.management import call_command
if not settings.configured:
setti... | null | setup.py | setup.py | py | 1,166 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.configured",
... |
309885932 | import ssl
import re
import os
import time
import progressbar
from urllib.request import urlopen
from bs4 import BeautifulSoup, SoupStrainer
from multiprocessing import Pool
from pprint import pprint
# 忽略 SSL 验证
ssl._create_default_https_context = ssl._create_unverified_context
hrefList = []
# 获取章节列表中所有的页
def get_c... | null | src/index.py | index.py | py | 2,950 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ssl._create_default_https_context",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "ssl._create_unverified_context",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 21,
"usage_type": "cal... |
117064022 | from __future__ import unicode_literals
import collections
import io
import json
import logging
import os
import pre_commit.constants as C
from pre_commit import five
from pre_commit.clientlib import load_manifest
from pre_commit.clientlib import LOCAL
from pre_commit.clientlib import MANIFEST_HOOK_DICT
from pre_comm... | null | pre_commit/repository.py | repository.py | py | 7,025 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pre_commit.constants.INSTALLED_STATE_VERSION",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "pre_commit.constants",
"line_number": 30,
"usage_type": "name"
},
... |
79819306 | # Basic library
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
### ------------------------ ###
# Preprocessing library
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
### ------------------------ ###
# This function will work for 1-base index (Though Python, Java, C/C++ are ... | null | Regression/06. mrz_Random_Forest_Regression.py | 06. mrz_Random_Forest_Regression.py | py | 2,293 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.OneHotEncoder",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 55,
"usage_type": "call"
},
{... |
37174504 | from django.contrib import admin
from django.contrib import messages
from django import forms
from django.utils import timezone
from data_ocean.admin import input_filter
from .models import Subscription, Invoice, ProjectSubscription, Project, CustomSubscriptionRequest, Invitation
from rangefilter.filter import DateRan... | null | payment_system/admin.py | admin.py | py | 10,194 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.contrib.messages.ERROR",
"line_number": 32,
"usage_type": "attribute"
... |
291403332 | # -*- coding: utf-8 -*- #
# --------------------------------------------------------
# @Author: Lintao
# @Date: 5/13/21 6:27 PM
# @Version 1.0
# --------------------------------------------------------
"""
An example that uses TensorRT's Python api to make inferences.
"""
import ctypes
import os
os.environ.setdefault(... | null | tensorrtx/yolov5_trt_logo.py | yolov5_trt_logo.py | py | 15,273 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ.setdefault",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
270436490 | ## The main function of PyRAIMD
## the first version Jingbai Li Feb 16 2020
## the second version Jingbai Li May 14 2020
## the class version Jingbai Li Jul 15 2020
import sys,os,time,datetime
import numpy as np
from tools import whatistime,howlong
from tools import Readcoord,Printcoord,Checkpoint,Readinitcond
from ... | null | PyRAIMD.py | PyRAIMD.py | py | 6,372 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "entrance.ReadInput",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "entrance.StartInfo",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "methods.QM",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "tools.Readcoord",
... |
254876722 | import os
import time
import multiprocessing
class LocalComm:
def __init__(self, local_queues, addr):
self.local_queues = local_queues
self.addr = addr
assert(0 <= addr < len(self.local_queues))
self.i = 0
def send(self, to_addr, data):
self.local_queues[to_addr].put(by... | null | taskloaf/local.py | local.py | py | 1,399 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "multiprocessing.Queue",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 27,
"usage_type": "call"
}
] |
249441924 | #imports
import traceback
from threading import Thread
from queue import Queue
from hashlib import sha512
from .data_file import DataFile
from ..utilities.runnable import Runnable
from ..utilities.misc import populated_kwargs
from ..my_kafka.my_producers import MySerializingProducer
from .config import RUN_OPT_CONST
fr... | null | openmsipython/data_file_io/upload_data_file.py | upload_data_file.py | py | 12,623 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "data_file.DataFile",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "utilities.runnable.Runnable",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "queue.full",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "utilities.... |
284000374 | from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Writer',
fields=[
('id', models.AutoField(
auto_created=True,
... | null | writers/migrations/0001_initial.py | 0001_initial.py | py | 772 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 12,
"usage_type": "call"
},
... |
547462589 | #!/usr/bin/env python3
from argparse import ArgumentParser
from numpy import zeros, linspace, argmin, loadtxt, argsort, asarray, savetxt, diag, argwhere, mean
from numpy.linalg import norm
from scipy.sparse import csr_matrix, eye, load_npz, save_npz
from scipy.optimize import minimize
# from lmfit import minimize, Para... | null | current/tdsatdegen.py | tdsatdegen.py | py | 7,121 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "libs.states.state_at_ts",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "libs.states.prob_of_state",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "argpa... |
582965942 | from django.core.files.base import ContentFile
from django.db import models
from keima import settings
from records.models import Record
from users.models import User
from servers.ogs import OGSClient, OGSException
from importer.managers import OGSUserManager
class OGSUser(models.Model):
'''
Track user's acco... | null | importer/models.py | models.py | py | 1,897 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.OneToOneField",
"line_number": 15,
"usage_type": "call"
},
{
"api_n... |
653784685 | """Unit and regression tests for the tool utilities."""
import argparse
import os
import StringIO
import sys
import tempfile
from pyAirviro import __version__
from pyAirviro.other import logging
import pyAirviro.tests
from pyAirviro.tools import utils
class CaptureStderrTestCase(pyAirviro.tests.TestCase):
"""B... | null | pyAirviro/tests/tools/test_utils.py | test_utils.py | py | 5,427 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyAirviro.tests",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "StringIO.StringI... |
218548406 | # uses conda environment gpflow6_0
# #!/anaconda3/envs/gpflow6_0/env/bin/python
from memory_profiler import profile
# generic
import numpy as np
import pandas as pd
import xarray as xr
# import dask.array as da
import scipy.io as io
from itertools import product
import glob
import time
# plotting
from matplotlib.co... | null | readv_it_av.py | readv_it_av.py | py | 22,250 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.colors.Normalize",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "matplotlib.colors.Normalize.__init__",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "matplotlib.colors.Normalize",
"line_number": 43,
"usage_type": "name"
... |
505384442 | '''
This script can be used to parse out the timeseries data from the raw
files obtained from Intel
'''
import sys
import csv
import pickle
from datetime import datetime, timedelta
from timeseries import TimePoint, TimeSeries
def parse_header(header):
#user,measure,timestamp-start,timestamp-end,value
time_... | null | scripts/parse_data.py | parse_data.py | py | 2,586 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "timeseries.TimeSeries",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "ti... |
591470274 | """
Functions for visualizing/plotting reaction networks.
"""
import matplotlib.cm
import numpy as np
import rustworkx as rx
from rustworkx.visualization import mpl_draw
def plot_network(graph: rx.PyGraph, vertex_cmap_name: str = "jet", **kwargs):
"""
Plots a reaction network using rustworkx visualization too... | null | src/rxn_network/network/visualize.py | visualize.py | py | 1,349 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rustworkx.PyGraph",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rustworkx.visualization.mpl_draw",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "... |
492728386 | """Assignment 11: Latent Dirichlet Allocation #2.
ECE 590: Natural Language Processing
Patrick Wang
"""
import matplotlib.pyplot as plt
import numpy as np
from hw11_solution import lda, lda_solve
def test_lda_solve():
vocabulary = ['bass', 'pike', 'deep', 'tuba', 'horn', 'catapult']
V = len(vocabulary)
... | null | hw11_evaluate.py | hw11_evaluate.py | py | 1,109 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random.dirichlet",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
... |
507980134 | import re
import numpy as np
import math
from statistics import mean
from tme2.IRModelClass import Okapi
spaceRegex=re.compile("\s*(\d+)\s+(\d+)")
indexRegex = re.compile("\.I (\d)+")
TRegex=re.compile("\.T\n")
BRegex=re.compile("\.B\n")
ARegex=re.compile("\.A\n")
KRegex=re.compile("\.K\n")
WRegex=re.compile("\.W\n")
... | null | tme3/tme3.py | tme3.py | py | 10,649 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 10,
... |
393262558 | # coding: utf-8
from flask import request, flash, render_template, redirect, url_for, session as fl_sess
import os.path
import uuid
from web import app
from db import session, Folder
from scanner import Scanner
from managers.user import UserManager
from managers.folder import FolderManager
@app.before_request
def ch... | null | supysonic/folder.py | folder.py | py | 2,309 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.request.path.startswith",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "m... |
41625048 | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 15 16:05:47 2020
@author: mathewjowens
A script to reproduce the anaylsis of Owens et al., Solar Physics 2021,
"Extreme space-weather events and the solar cycle"
"""
import numpy as np
import pandas as pd
from datetime import datetime
import os as os
from scipy.stats im... | null | code/ExtremeEventsSolarCycle.py | ExtremeEventsSolarCycle.py | py | 68,376 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
},
{
... |
561260901 | from django.urls import path
from . import views
from .views import page_render
urlpatterns = [
# A cool example, but not for use here.
# path('<page_slug>/', include([
# path('about/', views.about),
# path('history/', views.history),
# path('courses/', views.courses),
# path(... | null | osu_www/pages/urls.py | urls.py | py | 1,675 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "views.request_permissions",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "django.urls.path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "view... |
411855767 | # This Python module is part of the PyRate software package.
#
# Copyright 2017 Geoscience Australia
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/... | null | pyrate/roipac.py | roipac.py | py | 7,296 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.stat",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "pyrate.ifgconstants.PYRATE_X_STEP",
"line_number": 106,
"usage_type": "attribute"
},
{
"api_name": "pyrate.ifgconstants",
"line_number": 106,
"usage_type": "name"
},
{
"api_name": "... |
450690196 |
import os, sys
from time import sleep
from selenium import webdriver
import redis
import time
import configparser
config = configparser.ConfigParser()
config.read(r'C:\Projects\@Scripts\CONFIG\urls_r.cfg')
URL_WEBSITE = config['Settings']['URL_WEBSITE']
URL_REST = config['Settings']['URL_REST']
file_ = 'r.xlsx'
r1 ... | null | html_to_databases/reuters_feed.py | reuters_feed.py | py | 3,081 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "redis.StrictRedis",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulS... |
298726078 | """
sensor_test.py
Test of all the sensors.
"""
import os
import unittest
from math import sqrt
from numpy import pi, sqrt
from config import Config
from environment.game import Game
from environment.spawn_functions.simple import SpawnSimple
from utils.dictionary import D_SENSOR_LIST
from utils.vec2d import Vec2d
#... | null | tests/sensors_test.py | sensors_test.py | py | 9,212 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "utils.vec2d.Vec2d",
"li... |
128109854 | #!/usr/bin/env python
from baselines import bench
from baselines.common import set_global_seeds
import gym, logging
from baselines import logger
import tensorflow as tf
from collections import Counter
from sklearn.model_selection import ParameterGrid, GridSearchCV
from gym_mujoco_planar_snake.benchmark.info_collector... | null | planar_snake_prototype_RL/agents/run_mujoco_coded_control_withpixel.py | run_mujoco_coded_control_withpixel.py | py | 12,545 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "baselines.common.set_global_seeds",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 76,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 78,
"usage_type": "attribute"
},
{
"api_name": "math.pi",... |
292380588 | import json
from django.http.response import JsonResponse
from django.views import View
from django.db.models import Q
from users.decorators import login_decorator
from books.models import (
BookAuthor,
BookCategory,
Category,
Comment,
CommentLike,
Book
)
# 상세페이지
class BookD... | null | books/views.py | views.py | py | 10,529 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.views.View",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "books.models.Book.objects.filter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "books.models.Book.objects",
"line_number": 22,
"usage_type": "attribute"
},
{
... |
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