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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
37177014 | import matplotlib.pyplot as plt
import numpy as np
import openpyxl
wb = openpyxl.load_workbook("2016_2017_HS_SQR_Results.xlsx")
summary = wb.get_sheet_by_name("Summary")
averageproficiency = []
hraelibiles = []
total = []
for i in range(2, 488):
average8grademath = summary.cell(row=i, column=30).value
average... | null | ISthereacorrelationbetweeneconomicstatusandsmartness.py | ISthereacorrelationbetweeneconomicstatusandsmartness.py | py | 1,660 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "matpl... |
605952698 | """ Utility functions to be used in several modules.
"""
import logging
""" Takes a bunch of text, looks for dates and returns the most common one
and the number of times it occured.
Intended to be used with document classes to specifiy the date of the
documents.
"""
def get_date_from_text(text):
import re
# S... | null | modules/utils.py | utils.py | py | 1,283 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "dateutil.parser.parse",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "dateutil.parser"... |
636682601 | from flask import Flask, render_template, abort, redirect, url_for, request
app = Flask(__name__)
cards = [{"question": "What is your name?", "answer": "My name is Sachin"},
{"question": "Where do you study?", "answer": "I study at herald"}]
@app.route("/")
@app.route("/hello", methods = ['GET'])
def hello():
retu... | null | flashcards.py | flashcards.py | py | 1,463 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.abort",
... |
436127472 | import unittest
from src.app import app, db
from datetime import timedelta
from src.models.schedules.utils import now, beginning_of_week
from src.models.schedules.shift import Shift
class TestShift(unittest.TestCase):
def setUp(self):
db.create_all()
self.week_start = now().replace(hour=5, minu... | null | test/integration/test_shift.py | test_shift.py | py | 3,230 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "src.app.db.create_all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "src.app.db",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "src.models.sc... |
414258085 | from flask import current_app as app
from flask import jsonify, request
def loans_get_all_data():
"""
Retrieves details of each tool and the name of the lastest user that loaned it
"""
connection = app.config["PYMYSQL_CONNECTION"]
query = "SELECT \
tool.name as tool_name, \
... | null | backend/app/backend/_temp_loans.py | _temp_loans.py | py | 2,796 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.current_app.config",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "flask.current_app",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "flask.c... |
399643041 | from PIL import Image
import os
import dlib # 人脸识别的库dlib
import numpy as np # 数据处理的库numpy
import cv2 # 图像处理的库OpenCv
path = "./images/" # 图像读取地址
savepath = "./dealimg/" # 图像保存地址
# fistlistA="./dealimg/trainA/"
# fistlistB="./dealimg/trainB/"
filelist = os.listdir(path) # 打开对应的文件夹
# pathlistA = os.listdir(savepath... | null | image_processing.py | image_processing.py | py | 4,144 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number... |
123956577 | from django.conf.urls import patterns, url
from todo_tracker import views
urlpatterns = patterns('',
url(r'logout$', views.logout_view, name='logout'),
url(r'login$', views.login_view, name='login'),
url(r'register$', views.register_view, name='register'),
url(r'home$', views.home_view, name='home'),
url(r'a... | null | todo_tracker/urls.py | urls.py | py | 610 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "todo_tracker.views.logout_view",
"line_number": 6,
"usage_type": "attribute"
},
{
"a... |
215248305 | import argparse, itertools, jxmlease, more_itertools, numpy as np, pathlib
from ..utilities import units
from ..utilities.dataclasses import MetaDataAnnotation, MyDataClass
from ..utilities.misc import dummylogger, printlogger
from ..utilities.tableio import readtable, writetable
from .csvclasses import Annotation, Reg... | null | astropath/baseclasses/annotationpolygonxmlreader.py | annotationpolygonxmlreader.py | py | 7,210 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utilities.dataclasses.MyDataClass",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "utilities.dataclasses.MetaDataAnnotation",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utilities.tableio.readtable",
"line_number": 15,
"usage_type": ... |
470045267 | import logging
import time
from datetime import datetime
from json import JSONDecodeError
from typing import Dict, Any, List, Tuple, Optional, Union
from requests import get
from requests.exceptions import HTTPError, ConnectionError
from .comic_format import ComicFormat
from .comic_info import ComicInfo, IdentifierIn... | null | Organizer/league_of_comic_geeks_api.py | league_of_comic_geeks_api.py | py | 5,727 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "comic_info.ComicInfo",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "comic_info.identifiers",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "co... |
382698723 | # -*- coding: utf-8 -*-
# snapshottest: v1 - https://goo.gl/zC4yUc
from __future__ import unicode_literals
from snapshottest import Snapshot
snapshots = Snapshot()
snapshots['test_add_library_type[uvloop] 1'] = [
{
'_id': 'foo',
'library_type': 'srna'
},
{
'_id': 'bar',
'... | null | tests/samples/snapshots/snap_test_migrate.py | snap_test_migrate.py | py | 1,683 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "snapshottest.Snapshot",
"line_number": 8,
"usage_type": "call"
}
] |
416889440 | """
mbed SDK
Copyright (c) 2011-2015 ARM Limited
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writi... | null | packages/mbed-greentea/test/mbed_gt_hooks.py | mbed_gt_hooks.py | py | 6,313 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "mbed_greentea.mbed_greentea_hooks.GreenteaCliTestHook",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "mbed_greentea.mbed_greentea_hooks.LcovHook",
"line_number": 27,
... |
467973362 | # I have created this file
from django.http import HttpResponse
from django.shortcuts import render
def index(request):
return render(request, 'index.html')
def analyze(request):
#Get the text
djtext = request.GET.get('text', 'default')
# Check checkbox values
removepunc = request.GET.get('removep... | null | textutility/views.py | views.py | py | 2,072 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 33,
"usage_type": "call"
},
{
"api_name":... |
105617680 | #!/usr/bin/env python
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, window, asc, desc, lead, lag, udf, hour, month, dayofmonth, collect_list, lit
import pyspark.sql.functions as F
from pyspark.sql.window import Window
from pyspark.sql.types import FloatType, IntegerType, DateType
from pysp... | null | powerwatch/analysis/old_analysis_scripts/monthly_outages_aggregate_cluster_size.py | monthly_outages_aggregate_cluster_size.py | py | 5,208 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder.config",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "p... |
589305876 | # -*- coding: utf-8 -*-
import tkinter as tk
from tkinter import messagebox
from PIL import ImageTk, Image
from datetime import datetime
from qr import decode_input
from qr import init_camera_settings, decode_input_camera, destroy_all_cv
from observer import Publisher, Subscriber
from matplotlib.backends.backend_tkagg ... | null | GUI.py | GUI.py | py | 15,339 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "observer.Publisher",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "SQL.data.Data",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "qr.init_camera_settings",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tkinter.mess... |
205098602 | from django.core.management.base import BaseCommand, CommandError
from django.contrib.auth.models import User
from optparse import make_option
from devilry_usermod import UserModCommand
class Command(UserModCommand):
args = '<username>'
help = 'Create new user.'
option_list = BaseCommand.option_list + (
... | null | devilry/apps/superadmin/management/commands/devilry_useradd.py | devilry_useradd.py | py | 1,550 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "devilry_usermod.UserModCommand",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.core.management.base.BaseCommand.option_list",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number... |
344839727 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2019 The FATE 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/lic... | null | examples/hetero_feature_selection/run_feature_selection.py | run_feature_selection.py | py | 5,344 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.split",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_num... |
305377452 | from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from PyQt4 import QtGui
import sys
#from matplotlib.patches import Rectangle
class MplCanvas(FigureCanvas):
"""Represents a canvas in QtGui.QWidget"""
def __init__(self):
self.... | null | matplotlib_gui/canvas.py | canvas.py | py | 3,867 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.backends.backend_qt4agg.FigureCanvasQTAgg",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.figure.Figure",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.backends.backend_qt4agg.FigureCanvasQTAgg.__init__",
... |
280683573 | from __future__ import print_function
from unittest import TestCase
from argparse import ArgumentParser, Namespace as N
class T(TestCase):
def test0(self):
self._test(
r'-a --delim -- -a --pseudo-pos 0 1 -- -2 3',
(
N(delim=True, main_a=True),
N(ch... | null | argparse_chain.py | argparse_chain.py | py | 1,586 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "argparse.Namespace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.Namespace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.Names... |
645703399 | from sklearn.model_selection import train_test_split
import os
import ntpath
from datetime import datetime
import numpy as np
from statistics import mean
import statistics
import re
import math
import random
import pickle
import scipy.stats as scstat
from unidecode import unidecode
import datetime
from sk... | null | Simulations/Phase2-EdgeRetrain.py | Phase2-EdgeRetrain.py | py | 3,207 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.chdir",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pandas.options",
"line_number": 45... |
59898447 | #!/usr/bin/env python
# coding: utf-8
# In[413]:
from nltk import word_tokenize,sent_tokenize
import pandas as pd
import numpy as np
class TextFeatureSelection():
'''
target: list object which has categories of labels. for more than one category, no need to dummy code and instead provide label encoded value... | null | build/lib/TextFeatureSelection.py | TextFeatureSelection.py | py | 11,979 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.log",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "nltk.sent_tokenize",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line... |
175232551 | import logging
from websrvc.web.resources import FetchPage, Health, Information
logger = logging.getLogger(__name__)
def add_routes(api, config):
"""Add the routes to the application object
:param websrvc.api.WebServiceAPI api: the webservice application object
:param websrvc.loaders.Config config: th... | null | websrvc/web/routes.py | routes.py | py | 544 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "websrvc.web.resources.FetchPage",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "websrvc.web.resources.Health",
"line_number": 18,
"usage_type": "argument"
},
{
... |
123750088 | from rest_framework import serializers
from rest_framework.exceptions import ValidationError
from expander import ExpanderSerializerMixin
from django.contrib.auth import get_user_model
from .models import (
Curriculum, Unit, Module, Lesson, Question, Answer, UserResponse, LessonProgress, Vector, MathematicalExpr... | null | curricula/serializers.py | serializers.py | py | 11,524 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.LessonProgress",
"line_number": 17,
"usage_type": "name... |
294699125 | import numpy as np
import mxnet as mx
import mxnet.ndarray as nd
import mxnet.gluon as gluon
import gluonnlp
from mxnet.io import NDArrayIter
from mxnet import autograd
from mxboard import *
from tqdm import tqdm
import json
import argparse
import pandas as pd
import numpy as np
from gensim.corpora import Dictionary
... | null | Code/models/LSTM/LSTM1/mxnet_lstm.py | mxnet_lstm.py | py | 5,982 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mxnet.cpu",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "mxnet.ndarray.ones",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "mxnet.ndarray",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line_numb... |
522231669 | from kantai import *
import datetime
import os
import collections
with open("season_voice_list.txt", "r", encoding="utf-8") as fp:
content = fp.readlines()
season = set()
for line in content:
season.add(line.strip())
season_ships = []
for ship in iter_all_ships():
if ship.zh_name in season or ship.jp_name in seas... | null | season_generater.py | season_generater.py | py | 1,425 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.j... |
291138216 | import sys, os
from PySide2.QtWidgets import QApplication, QVBoxLayout, QWidget
from PySide2.QtQuick import QQuickView
from PySide2.QtCore import QUrl, Qt, QObject, QAbstractListModel, QRect, QStringListModel, QSortFilterProxyModel
from models import ContentListModel, FilterModel
from contentList import ContentList
fro... | null | main.py | main.py | py | 1,101 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PySide2.QtWidgets.QApplication",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtQuick.QQuickView",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": ... |
291094634 | import folium
import pandas
def get_color(elevation):
if elevation <1000:
return 'green'
elif 1000<=elevation<3000:
return 'orange'
else:
return 'red'
data = pandas.read_csv("Volcanoes.txt")
lat = list(data.LAT)
lon = list(data.LON)
elv = list(data.ELEV)
map = folium.Map(location=[... | null | map1.py | map1.py | py | 984 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "folium.Map",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "folium.FeatureGroup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "folium.CircleMarker",
... |
261317118 | import gym
import importlib
import random
from config import num_agents
from mountainCar import num_output,num_input, moves
from NEAT import Node, Edge, Genome, Specie, glb_innov, glb_node_index, innov_maker
def init_nodes(num_input,num_output):
#Is_input_node, Index, value, children, edges, move
input_nodes =... | null | init_genomes.py | init_genomes.py | py | 1,712 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "NEAT.Node",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mountainCar.num_input",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "NEAT.Node",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mountainCar.num_input",... |
398599646 | from __future__ import unicode_literals, division, print_function
# built in modules
import os
import sys
import time
import codecs
import shutil
import argparse
from six.moves import input
# project modules
from toolbox import countlines, CuiSemTypesDB, SimstringDBWriter, mkdir
from constants import HEADERS_MRCONSO,... | null | check_source_concepts.py | check_source_concepts.py | py | 4,659 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "codecs.open",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "constants.HEADERS_MRCONSO",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "constants.HEADERS_M... |
39114435 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Writer, write your content to html.
:copyright: (c) 2012 by Hsiaoming Yang (aka lepture)
:license: BSD
'''
import os
import re
import datetime
import hashlib
import logging
from jinja2 import Environment, FileSystemLoader
import liquidluck
from liquidluck.utils impor... | null | liquidluck/writers/base.py | base.py | py | 9,186 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "liquidluck.options.g.detail_logging",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "liquidluck.options.g",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "logging.error",
"line_number": 42,
"usage_type": "call"
},
{
"api_n... |
32627363 | import os
import numpy as np
from PIL import Image
from collections import OrderedDict
import cv2
overlay_color = [255, 0, 0]
transparency = 0.6
result_path = './DAVIS-template-'
def get_iou(pred, gt, ignore_cls=None):
if pred.shape != gt.shape:
print('pred shape', pred.shape, 'gt shape', gt.shape)
a... | null | utils/metric.py | metric.py | py | 3,652 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.unique",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number"... |
466602480 | import lmdb
import sys
import re
from PIL import Image
import os
import pdb
import six
import numpy as np
if __name__ == "__main__":
# root = '/checkpoint/pkrishnan/datasets/icdar15_test/'
# text_file = '/checkpoint/pkrishnan/datasets/synth-datasets/scribe/newsgroup_words_vqa.txt'
# text_file = '/checkpoi... | null | dumpLMDBImages.py | dumpLMDBImages.py | py | 3,970 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
425247393 | import tensorflow as tf
import os
from configs.config import MiniImageNetConfig
from data_loader.data_generator import DataGenerator, CompressedImageNetDataGenerator
from models.example_model import ExampleModel, PrototypicalNetwork
from trainers.example_trainer import ExampleTrainer, ProtoNetTrainer
from utils.config... | null | main.py | main.py | py | 6,906 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utils.utils.get_args",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "utils.config.process_config",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.pa... |
409038066 | from data.python_templates import effects
from data.python_templates.items import item_templates
from data.python_templates.material import material_templates
from stats.enums import Size
from items.item import Item
from components.consumable import Consumable
class ItemFactory(object):
"""
At first this will... | null | factories/item_factory.py | item_factory.py | py | 3,785 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "data.python_templates.items.item_templates",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "items.item.Item",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "data.python_templates.material.material_templates.get",
"line_number": 55,
"us... |
188299507 | import http.client, urllib.request, urllib.parse, urllib.error, base64,requests,json
import requests
html = requests.get('https://i.imgur.com/L6vu1jV.jpg')
img_curr = html.content
img_name = 'a.jpg'
from PIL import Image
with open(img_name, 'wb') as file: # 以byte形式将图片数据写入
file.write(html.content)
file.flush()
fi... | null | front/addFace.py | addFace.py | py | 2,276 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 1... |
92437012 | from collections import defaultdict
class UnionFind():
def __init__(self, n):
self.n = n
self.parents = [-1] * n
def find(self, x):
if self.parents[x] < 0:
return x
else:
self.parents[x] = self.find(self.parents[x])
return self.parents[x]
... | null | MinimumSpaningTree/JOI.py | JOI.py | py | 1,679 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.defaultdict",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 64,
"usage_type": "call"
}
] |
299673215 | from flask import Flask, render_template,abort,request
import os
import json
with open("MSX.json") as fichero:
datos=json.load(fichero)
app = Flask(__name__)
@app.route('/')
def inicio():
return render_template("inicio.html")
@app.route('/juegos')
def juegos():
return render_template("juegos.html")
@app.r... | null | app.py | app.py | py | 1,275 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
498391757 | # Django
from django.urls import include, path
# Django REST Framework
from rest_framework.routers import DefaultRouter
# Views
# from movies import views
from .views import movies as movies_views
from .views import rankings as ranking_views
from .views import list_movies as list_movies_views
from .views import comme... | null | movies/urls.py | urls.py | py | 1,001 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "views.movies.MoviesViewSet",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "views.movies",
"line_number": 16,
"usage_type": "name"
},
{
... |
272876178 | from pprint import pprint
import os.path
import requests
from tinydb import TinyDB, where
from tinydb.operations import increment
from flask import Flask, jsonify, render_template, json
app = Flask(__name__)
def database():
"""Initialise a TinyDB database at ./db.json and extends article model
to include... | null | main.py | main.py | py | 3,574 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.path.isfile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line... |
257014677 | #coding=utf-8
import pymysql
from DBUtils.PooledDB import PooledDB
from db_conf import *
class DbManager():
def __init__(self,db_conf):
self._pool = PooledDB(pymysql, mincached=0, maxcached=100, maxshared=100, maxusage=10000, **db_conf)
def getConn(self):
return self._pool.connection()
... | null | aspire_platform/httpserver/db.py | db.py | py | 1,619 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "DBUtils.PooledDB.PooledDB",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pymysql.Error",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pymysql.Error",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pymysql.Err... |
520412967 | #! /usr/bin/python
"""Script to run PyType tests.
Usage:
$> python run_tests.py [MODULE] [MODULE] ...
A MODULE is a fully qualified name of a test module within the PyType
source tree. If no module is specified, all test targets listed in the
CMake files will be run.
"""
from __future__ import print_function
import... | null | build_scripts/run_tests.py | run_tests.py | py | 4,830 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"l... |
185629433 | # -*- coding: utf-8 -*-
from scrapy.spiders import CrawlSpider
from scrapy.selector import Selector
from dianping.items import *
from scrapy.http import Request
from dianping.search_keyword import dic
from dianping.search_biz_area import biz_area_list
import re
import time
class DianpingSpider(CrawlSpider):
name ... | null | scrapy/dianping/dianping/spiders/DianpingSpider.py | DianpingSpider.py | py | 4,518 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.spiders.CrawlSpider",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "dianping.search_keyword.dic",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "dianping.search_keyword.dic",
"line_number": 22,
"usage_type": "name"
},
{
... |
166266816 | #!/usr/bin/python3
import gi
gi.require_version('Gst', '1.0')
from gi.repository import Gst
Gst.init(None)
# TODO: STUB, a TEE element has to be added
class MediaServerSaveFile():
def __init__(self, input_source, output_sink):
self.pipeline = Gst.Pipeline()
self.bus = self.pipeline_get_bus()
... | null | gstreamer/media_server.py | media_server.py | py | 4,658 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gi.require_version",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gst.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gst",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "gi.repositor... |
242767577 | import pygame
ORIGIN = 0, 0
class Background:
def __init__(self, w, h):
self.x, self.y = ORIGIN # Point on bg img to blit from.
self.w = w
self.h = h
self.FLAG = 6336
self.bgs = {}
self.resource_file = open("background-images.txt")
for line in self.resou... | null | background.py | background.py | py | 811 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.transform.scale2x",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.transform",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pyga... |
160753818 | from django.shortcuts import render
from django.http import HttpResponse
from django import forms
from mmap import mmap,ACCESS_READ
from django.http import HttpResponseRedirect
from django.template import loader
from django.template import RequestContext
from django.core.urlresolvers import reverse
import xlrd
import o... | null | excel/views – kopio.py | views – kopio.py | py | 5,504 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "excel.forms.DocumentForm",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "excel.models.Document",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 28,
"usage_type": "call"
},
{
"a... |
346856781 | import os
import numpy as np
import torch
from torch import nn
from torch import optim
import torch.nn.functional as F
from torch.autograd import Variable
import torchvision
from torchvision import datasets, transforms, models
from collections import OrderedDict
import json
import time
import argparse
DEFAULT_DATA_DI... | null | identify/train.py | train.py | py | 12,040 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_... |
652441496 | #imports
#django
from django.core.serializers.json import DjangoJSONEncoder
from django.contrib import messages
from django.http.response import HttpResponse
from django.shortcuts import redirect, render
#python
import json
import uuid
#self/app
from user_app.models import Request,Complaint
from official_app.decorat... | null | official_app/views.py | views.py | py | 15,537 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Station.objects.get",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "models.Station.objects",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "models.Station",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": ... |
161742358 | ''' MainScreen is displayed first to the user. It contains a number of widgets,
among them a 'user_ prompt'-able MainMenu instance.
The 'invoke_menu' method always returns a method of the 'controller'
received from the MainMenu instance. In case of a user exit request, this
method is the 'exit_re... | null | src/tcctrl/console/screen/main_screen.py | main_screen.py | py | 1,304 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "base_screen.BaseScreen",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "base_screen.BaseScreen.__init__",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "base_screen.BaseScreen",
"line_number": 18,
"usage_type": "name"
},
{
"api... |
102448637 | import os
from conans import ConanFile
from conans.client import tools
class NinjaConan(ConanFile):
name = "ninja"
version = "1.10.0"
license = "TDB"
url = "https://ninja-build.org/"
settings = "os_build", "arch_build"
build_policy = "missing"
description = "Ninja build tool. Useful as a b... | null | conanfile.py | conanfile.py | py | 2,156 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "conans.ConanFile",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "conans.client.tools.get",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "conans.client.tools",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "os.chmod"... |
379579752 | import pymongo
from Config import MONGO_HOST,MONGO_PORT, MONGO_DB
from xpinyin import Pinyin
def save_mongo(IA_name, IA_id, data):
pinyin = Pinyin()
clinct = pymongo.MongoClient(host=MONGO_HOST,port=MONGO_PORT)
db = clinct[MONGO_DB]
Data = data.get('data')
if Data is not '':
zip_res = zip(Data.get('x_arr'), Dat... | null | IT_Oranage/total_Investment_Agency/save_to_mongo.py | save_to_mongo.py | py | 715 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "xpinyin.Pinyin",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "Config.MONGO_HOST",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "Config.MONGO_PORT",... |
379951515 | # A 'simple' parser.
# Follows PEP 8 and enforces E501 (line too long)
# Ignore error 'redifinition of unused statement' as different producion rules
# use names for defs that were already defined - totally fine here..
import simpleast
from simplelexer import lex
from rply import ParserGenerator
tkns = ["If", "Else",... | null | Interpreter/simpleparser.py | simpleparser.py | py | 11,677 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rply.ParserGenerator",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "simpleast.Program",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "simpleast.IfStatement",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "simpleas... |
333501332 | '''
Created on Sep 2, 2012
@author: Luke
'''
from reader.language_tools import Greek
from reader.models import Lemma, Case, WordForm, WordDescription, Dialect
from reader.importer.LineImporter import LineImporter
import re
import logging
from time import time
from django.db import transaction
logger = ... | null | src/reader/importer/Diogenes.py | Diogenes.py | py | 18,936 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "reader.importer.LineImporter.LineImporter",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 40,
"usage_type": "call"
},
{
"api_name":... |
5988983 | import nltk
import re
import heapq
import numpy as np
paragraph = """There were once two brothers who lived on the edge of a forest. The elder brother was very mean to his younger brother and ate up all the food and took all his good clothes. One day, the elder brother went into the forest to find some firewood to sel... | null | bow_standard.py | bow_standard.py | py | 1,666 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.sent_tokenize",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line_number... |
135733723 | import string
import json
import copy
import factory
from django.test import TestCase
from django_webtest import WebTest
from django.core.urlresolvers import reverse
from cellcounter.keyboardapi.models import KeyMap, CustomKeyboard
from cellcounter.main.tests import UserFactory
from cellcounter.main.models import Cel... | null | cellcounter/keyboardapi/tests.py | tests.py | py | 8,171 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "factory.DjangoModelFactory",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cellcounter.keyboardapi.models.KeyMap",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "factory.django",
"line_number": 22,
"usage_type": "attribute"
},
... |
485069205 | # Copyright (c) 2018, Raul Astudillo
import numpy as np
from GPyOpt.acquisitions.base import AcquisitionBase
from GPyOpt.core.task.cost import constant_cost_withGradients
from pathos.multiprocessing import ProcessingPool as Pool
class maKG(AcquisitionBase):
"""
Multi-attribute knowledge gradient acquisition ... | null | maKG.py | maKG.py | py | 16,188 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "GPyOpt.acquisitions.base.AcquisitionBase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "GPyOpt.core.task.cost.constant_cost_withGradients",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "GPyOpt.core.task.cost.constant_cost_withGradients",
... |
250715936 | from google.appengine.ext import db
from webapp2_extras import json
import webapp2
from datetime import datetime
import logging
DATE_TIME_FORMAT = "%Y-%m-%d"
class DataPoint(db.Model):
date = db.DateTimeProperty()
weight = db.IntegerProperty()
height = db.IntegerProperty()
circumference = db.Integer... | null | main.py | main.py | py | 1,519 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "google.appengine.ext.db.Model",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.ext.db",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "google.appengine.ext.db.DateTimeProperty",
"line_number": 12,
"usage_type": "c... |
433605422 | import boto3
class Snapshot:
def __init__(self, id, name, volumeId, time):
self.id = id
self.name = name
self.volumeId = volumeId
self.time = time
self.parseName()
def parseName(self):
split = self.name.split(' ', 20)
self.ami = ''
for i in spli... | null | snapshots.py | snapshots.py | py | 1,893 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "boto3.client",
"line_number": 33,
"usage_type": "call"
}
] |
112227472 | import numpy as np
import math
from pgmpy.factors.discrete import DiscreteFactor
def normal(r, b):
variance = 0.25
u_0 = -1
u_1 = 1
if b == 0:
sample = ( 1/math.sqrt(2*variance) ) * math.exp( -((r - u_0) ** 2) / (2 * variance) )
else:
sample = ( 1/math.sqrt(2*variance) ) * math.exp(... | null | week3/hamming_unquant.py | hamming_unquant.py | py | 1,956 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.sqrt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 12,
"u... |
578585244 | #!/usr/bin/python
# importing libraries-----------------------------------------------------------------------------------------
import sys, os, Adafruit_DHT
from time import sleep
import datetime as dt
from subprocess import call
import RPi.GPIO as GPIO
import lcddriver
from time import *
# import FunHouse from JustFo... | null | Temperature Measurement Station/Other Code/tempMeasure.py | tempMeasure.py | py | 9,118 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "lcddriver.lcd",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO.setmode",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"line_numb... |
577513686 | #!/usr/bin/python3
import numpy as np
import matplotlib.pyplot as plt
n = 1000000; dt = 0.01; rho = -1.0
W1 = np.random.normal(0, np.sqrt(dt), n)
W2 = rho * W1 + np.sqrt(1 - rho **2) * np.random.normal(0, np.sqrt(dt), n)
W1_cum = np.cumsum(W1)
W2_cum = np.cumsum(W2)
plt.plot(W1_cum)
plt.plot(W2_cum)
plt.show()
| null | bm_corr.py | bm_corr.py | py | 314 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.normal",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_... |
340880035 | from board import board
import json
import time
from random import shuffle
#############################################################################################################################
# findPath Algorithm
test = []
# Checks to see if there exists at leas... | null | app/nodeBoard/test.py | test.py | py | 3,703 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.shuffle",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "board.board",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "board.board",
"line_number": 26,
"usage_type": "argument"
},
{
"api_name": "random.shuffle",
"... |
525745835 | import torch
from torch.tensor import Tensor
from .agent import Agent
class HumanAgent(Agent):
"""Allow a person to take on an AI agent."""
def act(self, obs_batch: Tensor) -> Tensor:
action_mask, board = obs_batch['action_mask'], obs_batch['board']
print(' 1 2 3 4 5 6 7')
print(' ... | null | src/agents/human_agent.py | human_agent.py | py | 1,028 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "agent.Agent",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.tensor.Tensor",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.tensor",
"line_number": 35,
"usage_type": "call"
}
] |
457135978 | # -*- coding: utf-8 -*-
"""
Created on Sun Jul 01 09:41:09 2018
@author: theism
"""
import gen_func as gf
import case_func as cf
import logging
import re
import os
import pandas as pd
import numpy as np
import settings
def _see_if_on_sched(date_in, immun_buffer):
if np.isnan(date_in):
return 'null'
el... | null | pregnancy_tasks.py | pregnancy_tasks.py | py | 15,190 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.isnan",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.Timestamp",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
165408257 | import pygame
# to able the changing of the window
from pygame.locals import RESIZABLE, VIDEORESIZE
from text_to_speech import Speak
from sys import exit as exit_sys
__author__ = "Nadav Shani"
###########################
# Windows file - (class) #
###########################
# initialize pygame
pygam... | null | windows.py | windows.py | py | 29,210 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.display.Info",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load... |
26079150 | import matplotlib.pyplot as plt
import numpy as np
import argparse
from matplotlib import animation
class Particles:
def __init__(self, x1=-1, y1=0, x2=1, y2=0, m1=1, m2=1, vx1=0, vx2=0, vy1=0, vy2=0, length=1, k=1, friction=0,
**kwargs):
self.position = np.array([[x1, y1], [x2, y2]])
... | null | bond_model.py | bond_model.py | py | 5,334 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": ... |
613716838 | # Copyright 2020 The Feast Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | null | sdk/python/tests/test_entity.py | test_entity.py | py | 3,034 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "contextlib.closing",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STRE... |
320206706 | import logging
import datetime
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
import config
import requests
import pymongo
mc=pymongo.MongoClient("mongodb://127.0.0.1:27017/")
tgdb=mc["GIVE A NAME FOR YOUR DATABASE"]
tgcol=tgdb["GIVE A NAME FOR THE COLLECTIONS"]
URL = "https://api.telegra... | null | final_telegram_code.py | final_telegram_code.py | py | 1,999 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "config.token",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.INFO... |
225314137 | import os
from setuptools import setup
BASE_DIR = os.path.dirname(__file__)
with open(os.path.join(BASE_DIR, "README.md")) as f:
long_description = f.read()
setup(
name="jslog4kube",
version="1.0.6",
description="relatively hassle-free JSON logging for Kubernetes pods",
long_description=long_des... | null | setup.py | setup.py | py | 659 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7... |
150974468 | """
/register
"""
from urllib.parse import urlparse
from utils import rds
from .test_baseclass import TestBase
class TestRegister(TestBase):
"""
Test register a user
"""
def test_register_directory(self):
"""
GET /register
"""
response = self.app.get('/register', conte... | null | tests/acceptance/test_register.py | test_register.py | py | 1,741 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "test_baseclass.TestBase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "utils.rds.get_connection",
"line_number": 60,
"usage_type": "call"
},
{
"api_name":... |
497027752 | from django.views.generic import TemplateView
class WeatherView(TemplateView):
"Display a weather page with the forecast and current conditions preloaded"
def render_to_response(self, context, **response_kwargs):
response_kwargs.setdefault('content_type', self.content_type)
return self.response... | null | apps/weather/views.py | views.py | py | 489 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 3,
"usage_type": "name"
}
] |
651262392 | # -*- coding: utf-8 -*-
import io, os, importlib
try:
from importlib import resources as importlib_resources
except ImportError:
import importlib_resources
from skymusic.resources import fonts, png, css, js, svg
def get_default_theme():
global THEMES
return list(THEMES)[0]
def detect_themes():
'''... | null | src/skymusic/resources/Resources.py | Resources.py | py | 6,143 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "skymusic.resources.css.__file__",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sky... |
264785518 | import sys
import numpy as np
import matplotlib.pyplot as plt
def usage_error():
print("ERROR: Parameter not found.")
print("Usage: python3 Soybean_drying.py -[OPTIONS]")
print("\nOPTIONS: -ts for Soybean temperature")
print(" -tg for air temperature")
print(" -u for humidity")
def... | null | Soy_drying/Soybean_drying.py | Soybean_drying.py | py | 4,122 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "... |
25318183 |
from django.urls import path
from HousePredictionApp import views
urlpatterns = [
path('', views.home, name='home'),
path('predict/', views.predict, name='predict'),
path('predict/result/', views.result, name='result'),
path('predict/result/record', views.record, name='record'),
] | null | HousePredictionApp/urls.py | urls.py | py | 300 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "HousePredictionApp.views.home",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "HousePredictionApp.views",
"line_number": 7,
"usage_type": "name"
},
{
"api_nam... |
593813688 | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 23 18:45:49 2018
@author: vineet
"""
import networkx as nx
import matplotlib.pyplot as plt
import random
import sys
##fb_file_path= "facebooklinks.txt"
fb_file_path= "links.txt"
global user_list,users,users_choice
user_list=[]
users=[]
users_choice=[]
##user_list=['1'... | null | frnd.py | frnd.py | py | 11,507 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "networkx.Graph",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 154,
"usage_type": "call"
},
{
"api_name": "networkx.draw",
"line_number": 167,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.... |
184746007 | from SimPEG.simulation import BaseSimulation
from SimPEG import utils, props, Data
import numpy as np
from discretize import TensorMesh
import scipy.sparse as sp
from scipy.signal import medfilt
def get_medfilt_indicies(values):
n_filter = 3
n = values.size
inds_med = np.zeros(n, dtype=int)
for ii in r... | null | insarinv/simulation.py | simulation.py | py | 26,568 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.median",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.argwhere",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.median",
"line_numb... |
602733936 | #!/usr/bin/env python
from __future__ import print_function
import logging
import sys
import gphoto2 as gp
def main():
logging.basicConfig(
format='%(levelname)s: %(name)s: %(message)s', level=logging.WARNING)
callback_obj = gp.check_result(gp.use_python_logging())
camera = gp.Camera()
came... | null | smarcambuddy/camera-summary.py | camera-summary.py | py | 505 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "gphoto2.check_result",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "gphoto2... |
499696448 | from tweepy.streaming import StreamListener
from tweepy import Stream
import tweepy
import twitter_credentials
import json
import geopandas
import nltk
import re
bound_file = "SA3_2016_AUST.shp"
jsonfile = 'twitter_user.json'
sa3_bound = geopandas.read_file(bound_file)
sa3_bound_vic = sa3_bound[sa3_bound['STE_NAME16... | null | MISC CODE/API_TWITTER_USER_STREAMING.py | API_TWITTER_USER_STREAMING.py | py | 1,855 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "geopandas.read_file",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number"... |
113243716 | # -*- coding: utf-8 -*-
import sys
tmp = sys.stdout
tmp_in = sys.stdin
from imp import reload
reload(sys)
import os
from os.path import dirname, basename
sys.path.append(os.path.join(sys.path[0], 'MyLib/'))
# First, and before importing any Enthought packages, set the ETS_TOOLKIT
# environment variable to qt4, to tell... | null | VolumeDataLabel.py | VolumeDataLabel.py | py | 8,115 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.stdout",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "imp.reload",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_nu... |
602639160 | import numpy as np
import cv2
# Identify pixels above the threshold
# Threshold of RGB > 160 does a nice job of identifying ground pixels only
def color_thresh(img, lwr_thresh=(113, 155, 155), upr_thresh = (255, 255, 255)):
# Create an array of zeros same xy size as img, but single channel
select = np.zeros_li... | null | code/perception.py | perception.py | py | 7,108 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros_like",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.absolute",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "numpy.float",
"li... |
360778725 | import os
import itertools
def read_input(filename):
KB = []
alpha = ''
with open(filename) as f:
lines = [l.strip() for l in f.readlines()]
for i,l in enumerate(lines):
if i == 0:
alpha = l
elif i > 1:
KB.append(l)
return KB,alp... | null | utils.py | utils.py | py | 4,101 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "itertools.product",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 49,
"usage_type": "call"
}
] |
181305617 | from django.core.exceptions import ObjectDoesNotExist
from pandas.tseries.offsets import Hour, Minute
from position.classes.profiler.profiler import Profiler
class ProfilerShortStock(Profiler):
def __init__(self, position_set, date=''):
"""
:param position_set: PositionSet
:param date: dat... | null | position/classes/profiler/equity/short_stock/short_stock.py | short_stock.py | py | 5,663 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "position.classes.profiler.profiler.Profiler",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "position.classes.profiler.profiler.Profiler.__init__",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "position.classes.profiler.profiler.Profiler",
... |
507342300 | from scipy import interpolate
import numpy as np
from weighting import weighting
from decimal import Decimal
def l2error(u1, params1, type1, u2, params2, type2):
if type1 == 'cfd':
radial_grid = params1['RadialGrid'].reshape(-1, 1)
dr = np.diff(radial_grid, axis=0)
dr = np.vstack((radial_... | null | l2error.py | l2error.py | py | 3,557 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.diff",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "weighting.weighting",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_nu... |
459747973 | # -*- coding: utf-8 -*-
"""
Created on Sat Dec 1 00:05:56 2018
@author: Camel
"""
import pandas as pd
import numpy as np
from bs4 import BeautifulSoup
import requests
from selenium import webdriver
import webbrowser
driver = webdriver.Chrome()
driver.get('http://vote.2018.nat.gov.tw/pc/zh_TW/TC/n63000000100000000.htm... | null | API_election_men.py | API_election_men.py | py | 1,862 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.Beautif... |
137414334 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright (C) 2008-2017, Luis Pedro Coelho <luis@luispedro.org>
# vim: set ts=4 sts=4 sw=4 expandtab smartindent:
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
... | null | jug/jug.py | jug.py | py | 17,423 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.defaultdict",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "task.alltasks",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "io.print_task_summary_table",
"line_number": 57,
"usage_type": "call"
},
{
"api_name":... |
537193191 | import os
import numpy as np
import scipy as sp
import scipy.optimize
from astropy.stats import SigmaClip
from astropy.stats import sigma_clipped_stats
from astropy.io import fits
import math
import photutils
from photutils.aperture import CircularAnnulus
from photutils.aperture import CircularAperture
from photutils.a... | null | src/simmer/Contrast.py | Contrast.py | py | 7,283 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.sum",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 22,
... |
621468110 | import numpy as np
class AbstractAugmentation:
"""
An abstract class for data augmentation that defines interfaces.
A custom augmentation can be defined by inheriting from this class.
Args:
mode: Augmentation to be applied for training or evaluation.
"""
def __init__(self, mode="train... | null | fastestimator/pipeline/dynamic/augmentation.py | augmentation.py | py | 12,763 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.eye",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line... |
278722978 | import networkx as nx
from matlab import engine
import scipy.io
import os
import time
import tnetwork as tn
import io
import scipy
def _runMatlabCode(matrix, matlab_session):
#matrix = scipy.sparse.coo_matrix(matrix)
dir = os.path.dirname(__file__)
visuAddress = os.path.join(dir, "GenLouvain-master")... | null | build/lib/tnetwork/DCD/externals/MuchaOriginal_saved.py | MuchaOriginal_saved.py | py | 5,673 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
399113092 | import json
import plotly.graph_objects as go
def plot_transmission():
with open("outputs/graphdata.json") as f:
data=json.load(f)
I = 0
J = 0
K = 0
L = 0
M = 0
for l in data['links']:
if l['state'] == 'I':
I += 1
elif l['state'] == 'J':
J += ... | null | temp_codes/plot_transmission.py | plot_transmission.py | py | 983 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects.Figure",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "plotly.grap... |
419050516 | import json
import requests
from flask import Flask
app = Flask(__name__)
@app.route("/")
def hello():
headers = {'Authorization' : 'Bearer OGQ5YmUyMmYtZTlhOC00ZmE3LWE2NWQtZmEyMmFlZDAzOWVkMjlhODdlMjUtMDE3'}
url = 'https://api.ciscospark.com/v1/rooms'
r = requests.get(url,headers=headers)
data = r.cont... | null | app.py | app.py | py | 2,305 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 47,
... |
249980339 | import torch.utils.data as data
from PIL import Image
import os
import os.path
from .folder import default_loader
class ImageList(data.Dataset):
"""A generic data loader where the input is an image list in this way: ::
[
[/path/to/image/1, label_1],
[/path/to/image/2, label_2],
... | null | torchvision/datasets/image.py | image.py | py | 1,745 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "folder.default_loader",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "fo... |
347007376 | # -*- coding: utf-8 -*-
from django.core.files.storage import FileSystemStorage
from django.db.models.fields.files import FileField
from django.core.files.storage import default_storage
from django.http import HttpResponse
from functools import wraps
from django.utils import simplejson as json
import os
def file_cle... | null | Harpe-website/Patcher/utils.py | utils.py | py | 2,191 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.fields.files.FileField",
"line_number": 29,
"usage_type": "argument"
},
{
"api_name": "os.path.exists",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name"... |
216761096 | #! /usr/bin/env python
import os
import datetime
import torch
import model
import pickle
from absl import app, flags, logging
import sys
from data_utils import Subset
from utils import get_length
from torch.nn.utils.rnn import pad_sequence
import collections
device = torch.device("cuda" if torch.cuda.is_available()... | null | main_infer.py | main_infer.py | py | 7,478 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.device",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.set_d... |
491457715 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.utils.timezone import utc
import article.models
import datetime
class Migration(migrations.Migration):
dependencies = [
('article', '0004_auto_20150830_0841'),
]
operations = [
... | null | article/migrations/0005_auto_20150830_1028.py | 0005_auto_20150830_1028.py | py | 967 | 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.AddField",
"line_number": 17,
"usage_type": "call"
},
{... |
279230972 | #------------------------------------------------------------------------------
# Name: configuration.py
# Purpose: Storing CryBlend configuration settings
#
# Author: Mikołaj Milej
#
# Created: 02/10/2013
# Copyright: (c) Mikołaj Milej 2013
# Licence: GPLv2+
#------------------------... | null | io_export_cryblend/configuration.py | configuration.py | py | 3,428 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bpy.utils.user_resource",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bpy.utils",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
493564407 | #needed for debug mode to work!
from gevent import monkey
monkey.patch_all()
#do some imports!
from flask import Flask, render_template, request, jsonify
from flask.ext.socketio import SocketIO, emit
import urllib, json
from banana import *
#start me up!
app = Flask(__name__)
app.debug = True
app.config['SECRET_KEY']... | null | main.py | main.py | py | 5,841 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gevent.monkey.patch_all",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "gevent.monkey",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.ext.socketio.So... |
86625763 | from cms.sitemaps import CMSSitemap
from django.conf.urls.defaults import *
from django.conf import settings
from django.contrib import admin
from periodics.feeds import CategoryRss
from library.feeds import PersonRss
from manage import rel
admin.autodiscover()
urlpatterns = patterns('',
(r'^admin/filebrowser/',... | null | urls.py | urls.py | py | 1,813 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
275140784 | #!/usr/bin/env python3
# noinspection PyUnresolvedReferences
from mpi4py import MPI
from baselines import logger
from baselines.ppo1.mlp_policy import MlpPolicy
from baselines.trpo_mpi import trpo_mpi
import argparse
import os
import gym
from baselines import logger, bench
import logging
from baselines.common.misc_uti... | null | examples/tiago_trpo_test.py | tiago_trpo_test.py | py | 2,131 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "baselines.common.tf_util.single_threaded_session",
"line_number": 36,
... |
294846405 | import sys
import matplotlib.pyplot as plt
import numpy as np
def main():
colorset = ['b','g','r','c','m','y']
fig = plt.figure(figsize=(12, 5), dpi=100,facecolor='w', edgecolor='k')
level = 1
p,r,f = get_data(level)
N = len(p)
idx = np.arange(N)
width =0.5
plt.subpl... | null | pythoncode/plot/level_flixster.py | level_flixster.py | py | 3,834 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
133428601 | import time
from termcolor import colored
from quora.profile_obj import Question
from quora.profile_writer import csv_profile_writer_to_local
import quora.config
drag_times = 1
def scrape_questions(profile_url, driver):
# Getting to other user's link
full_link = "https://www.quora.com/" + profile_url
dr... | null | university_counselor/b17706spark_usedcars/i2SGScrapy/quora/questions.py | questions.py | py | 2,545 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "termcolor.colored",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number... |
147785057 | import sys
sys.path.insert(0, 'kmodes/')
import numpy as np
from kmodes.kmodes import KModes
# the conflict dissimilarity measure
def conflict_dissim(a, b, **_) :
v = np.vectorize(lambda ai, bi : ai != 2 and bi != 2 and ai != bi)
return np.sum(v(a,b), axis = 1)
import argparse, os, sys, errno
parser = argpa... | null | clustering_methods/celluloid_test.py | celluloid_test.py | py | 3,335 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.insert",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "numpy.vectorize",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_numb... |
540706880 | # Author: @DJrif
# Image classification script to classify
# archaeological images from old Japanese pottery patterns
import os
import numpy as np
# Importing Keras libraries and packages
from keras.models import Sequential
from keras.layers import Conv2D, MaxPooling2D
from keras.layers import Activation, Dropout, Fl... | null | old/1thVGG16FromScratch.py | 1thVGG16FromScratch.py | py | 5,460 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "keras.backend.image_data_format",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "keras.m... |
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