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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
72532789629 | from datetime import datetime
from enum import auto
from typing import Final
from uuid import uuid4
from models_library.users import UserID
from models_library.utils.enums import StrAutoEnum
from pydantic import BaseModel, NonNegativeInt, validator
MAX_NOTIFICATIONS_FOR_USER_TO_SHOW: Final[NonNegativeInt] = 10
MAX_NO... | ITISFoundation/osparc-simcore | services/web/server/src/simcore_service_webserver/users/_notifications.py | _notifications.py | py | 3,946 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "typing.Final",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pydantic.NonNegativeInt",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Final",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pydantic.NonNegativ... |
32510456439 | # -*- coding: utf-8 -*-
"""
Created on May 19 2020
@author: hpaliwal, edited by candisehenry
"""
import os
import numpy as np
from scipy.interpolate import griddata
def interp_wind(folder, infile, outfile, step, coord):
# Get wind power density file
wd = os.getcwd()
windfile = wd + '/Output... | candisehenry/SEERE_Henry_et_al_2021 | c_interp_wind.py | c_interp_wind.py | py | 1,439 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getcwd",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_numb... |
2279763110 | from setuptools import setup, find_packages
import platform
import os
data_files = [('/etc/cdmiproxy', ['vcdm-linux.conf', 'vcdm-defaults.conf',
'users.db', 'users.db.md5']),
('/etc/cdmiproxy/server_credentials',
['server_credentials/cer... | livenson/vcdm | setup.py | setup.py | py | 1,221 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "platform.system",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"lin... |
11924515899 | """ Compute the transformation between odometry and map.
Author:
Annaleah Ernst
"""
import rospy
import tf
import numpy as np
from ar_track_alvar_msgs.msg import AlvarMarkers
from copy import deepcopy
from geometry_msgs.msg import PointStamped, PoseStamped, Pose, QuaternionStamped, Point, Quaternion
from math... | haelannaleah/autoturtle | localization.py | localization.py | py | 14,074 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tf_transformer.TfTransformer",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "math.pi",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "tf_transformer.TfTransformer.__init__",
"line_number": 46,
"usage_type": "call"
},
{
"api_na... |
16510594678 | #!/usr/bin/env python3
'''
This script is for making communication between server and clients
like :
sending commands, encryption, decryption &...
'''
from colorama import Fore
import socket
import re
codes_list = {
'exec':'1',
'1':'exec',
'__comment__get_os':'cid=2, does not have second part (for reques... | nxenon/c2x | modules/communicator.py | communicator.py | py | 4,032 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "colorama.Fore.GREEN",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "colorama.Fore.RESET",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "color... |
22050552907 | #!/usr/bin/python
import math as m
import matplotlib.pyplot as plt
fx = input("fx: ")
fy = input("fy: ")
Ax = input("Ax: ")
Ay = input("Ay: ")
phi = input("phi: ")
dt = input("Delta t: ")
N = input("N: ")
t = [dt * i for i in range(0, N+1)]
X = [Ax * m.cos(2 * m.pi * fx * i) for i in t]
Y = [Ay * m.sin(2 * m.pi * f... | bryance-oyang/ph20 | 1/2_vanilla.py | 2_vanilla.py | py | 707 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.cos",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "math.sin",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 17,
"... |
37577948452 | # -*- coding: utf-8 -*-
"""
Created on Fri Jun 21 12:56:22 2019
@author: luanpo1234
"""
import string
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
def preprocess(text):
#Remove punctuation
text = text.translate(str.maketrans('', '', string... | luanpo1234/tfidf_cosine_similarity | tfidf_similarity.py | tfidf_similarity.py | py | 1,971 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "string.punctuation",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.pairwise.cosine_similarity",
"line_number": 34,
"... |
29127916008 | from django.core.urlresolvers import reverse
from django.utils import timezone
from annoying.functions import get_object_or_None
from schedule.models import Event
def querystring_for_date(date, num=3):
query_string = '?'
qs_parts = ['year=%d', 'month=%d', 'day=%d', 'hour=%d', 'minute=%d', 'second=%d']
qs... | TimBest/ComposersCouch | schedule/templatetags/ext.py | ext.py | py | 1,895 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "annoying.functions.get_object_or_None",
"line_number": 29,
"usage_type"... |
34520195860 | #imports
import os, sys
import traceback
import pandas as PD
import numpy as NP
import logging
file_name = __file__ + '.txt'
logging.basicConfig(
level = logging.DEBUG ,
filename = file_name ,
filemode = 'w',
format = '%(asctime)s - %(message)s'
)
#_text = 'I bought a Toyota Corala in January... | snehaliz/Sunware-Technologies-Projects | Question Answering applications.py | Question Answering applications.py | py | 3,166 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "transformers.pi... |
4485528029 | # -*- coding: utf-8 -*-
from userLogin import login
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from selenium.common.exceptions import NoSuchElementException
from selenium.common.except... | susanpray/python | webSelenium/del_Mining.py | del_Mining.py | py | 1,474 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "userLogin.login",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.sl... |
37797882894 | from cryptography.hazmat.primitives import serialization
def savePrivateKeyAndCertificate(privateKey, certificate, certificateSubject):
private_key_pem = privateKey.private_bytes(
encoding=serialization.Encoding.PEM,
format=serialization.PrivateFormat.PKCS8,
encryption_algorithm=serializat... | cenkkg/SecureMessagingProtocol | Generator/SaveProvateKeyAndCertificate.py | SaveProvateKeyAndCertificate.py | py | 781 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cryptography.hazmat.primitives.serialization.Encoding",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cryptography.hazmat.primitives.serialization",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "cryptography.hazmat.primitives.serializatio... |
15493745094 | from imports import *
from math import ceil
import itertools, pylab
import matplotlib.ticker as mticker
sns.set_theme(context="talk", palette="bright", style="whitegrid")
DESIGN_NAMES = [
"BG_L2_L4_00_L3_00_L2_00_DVAFS_0",
"BG_L2_L4_00_L3_00_L2_10_DVAFS_0",
"BG_L2_L4_00_L3_00_L2_11_DVAFS_0",
"BG_L2_L4... | KULeuven-MICAS/PSMA-benchmark | auto_framework/plotting_functions.py | plotting_functions.py | py | 18,862 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "math.ceil",
"line_number": 186,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 263,
"usage_type": "call"
},
{
"api_name": "matplotlib.ticker.ScalarFormatter",
"line_number": 322,
"usage_type": "call"
},
{
"api_name": "matplo... |
22358684386 | import re
import collections
import transition
keywords = {
"title": "raw",
"source": "raw",
"note": "raw",
"init": "recurse",
"view": "space",
"show": "space",
"hide": "space",
"duration": "space",
"select": "comma",
":": "raw",
}
com = ";"
def parse(s, sep, com = None): # Separates a line on `sep`, skip... | showermat/pres | conffmt.py | conffmt.py | py | 3,782 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.match",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 77,
"usa... |
36633610498 | from django.shortcuts import render, redirect
from .models import Post, Category, Tag, Comment
from django.views.generic import ListView, DetailView, CreateView, UpdateView
from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin
from django.core.exceptions import PermissionDenied
from django.util... | SeowonPark001/Django_2022 | blog/views.py | views.py | py | 11,042 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "models.Post.objects.all",
"line_number": 19,
"usage_type": "call"
},
... |
35074265850 | from django.urls import path
from .views import (
ArticleAdmin, ArticleWriter,
Article_Tage, ArtticleViewCreate,
CategoryAPIView,CategoryCreateView,
CommentAPIView, CommentCreateAPI,
DisLIke, LikeCreate,
ListArticlePublish,
TagAPIView, TagCreateView , health)
app_name='blog'
urlpatter... | pantaLuc/Block_Etech_backend | blog/urls.py | urls.py | py | 1,587 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "views.ListArticlePublish.as_view",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "views.ListArticlePublish",
"line_number": 13,
"usage_type": "name"
},
{
"api_na... |
3602688977 |
"""
Description:
使用 Bokeh，基于各国家创建一个 CPI 和童工数据的散点图。
拓展：
①：Bokeh 有一个很好的示例库（http://bokeh.pydata.org/en/latest/docs/gallery.html）和可用的代
码来帮助你上手。建议你花些时间在图表上，尝试一下Bokeh。
"""
from bokeh.plotting import ColumnDataSource, figure, show, output_file # 导入我们用过的主要的库，并导入 ColumnDataSource和HoverTool 类。
from bokeh.models import Hov... | lafitehhq/PythonBook | Python-03数据处理/Reference/code/chp10-presentation-数据展示/chart_bokeh_interactive_使用Bokeh绘图2.0.py | chart_bokeh_interactive_使用Bokeh绘图2.0.py | py | 2,486 | python | zh | code | 2 | github-code | 6 | [
{
"api_name": "bokeh.plotting.figure",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "bokeh.plotting.output_file",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "bokeh.plotting.ColumnDataSource",
"line_number": 31,
"usage_type": "call"
},
{
"... |
15883394393 | #!/usr/bin/python
# coding=utf-8
import mechanize
from bs4 import BeautifulSoup
company = '江苏龙灯化学有限公司'
company = company.decode('utf8')
company = company.encode('gb2312')
url = 'http://www.chinapesticide.gov.cn/service/aspx/B2.aspx'
ref = 'http://www.chinapesticide.gov.cn/service/aspx/'
br = mechanize.Browser()
br.... | zjc-enigma/webscraping | 1.py | 1.py | py | 936 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mechanize.Browser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 38,
"usage_type": "call"
}
] |
24840768794 | from datetime import datetime
import numpy as np
import pandas_datareader.data as web
import pandas as pd
import os
import time as t
import sys
#Go to Alpha Vantage website to recieve your free API key and fill in the key into the "" marks below
API_Key = "" #Insert your API key here
def FillDatar... | tylerpeller/Stock_Data_Import | Stock_Importer.py | Stock_Importer.py | py | 2,464 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas_datareader.data.DataReader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas_datareader.data",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sys.exit",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "dat... |
72784203387 | # https://www.codewars.com/kata/53d2c97d7152a59b64001033
import sqlite3
conn = sqlite3.connect('/tmp/movies.db')
cur = conn.cursor()
cur.execute("""create table MOVIES (Id integer, Name varchar(100), Year integer, Rating integer)""")
conn.commit()
data = [(1, 'Rise of the Planet of the Apes', 2011, 77),
(2, 'Dawn ... | blzzua/codewars | 6-kyu/i_liked_the_sql_better.py | i_liked_the_sql_better.py | py | 683 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 5,
"usage_type": "call"
}
] |
37020303421 | import nltk
import csv
from collections import defaultdict, Counter
from nltk.corpus import movie_reviews
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from bs4 import BeautifulSoup
from dateutil import parser as dtparser
from datetime import timedelta
def get_stock_dates(ticker):
dates = set()
... | lkgarrison/stock-prediction | scripts/naive_sentiment.py | naive_sentiment.py | py | 3,744 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.DictReader",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dateutil.parser.parse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "dateutil.parser",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "nltk.download",
... |
7923678967 | import requests
import os
import csv
def do_load_media(url, path, num, year):
try:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Maxthon/4.3.2.1000 Chrome/30.0.1599.101 Safari/537.36"}
pre_content_length = 0
# 循环... | Saxon-Huang/EECS498_presentation_rating_system | archive/crawl.py | crawl.py | py | 4,757 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.getsize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
3499548879 | from typing import List, Optional
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def sortedArrayToBST(self, nums: List[int]) -> Optional[TreeNode]:
... | maxpetretta/leetcode | convert-sorted-array-to-binary-search-tree.py | convert-sorted-array-to-binary-search-tree.py | py | 1,014 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 13,
"usage_type": "name"
}
] |
75112274108 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Date : 2018-2-9
# @Author : foodish
# @File : year_report_gui.py
import tkinter
import urllib.request
import urllib.parse
import json
import re
from os import mkdir
from os.path import exists
import time
pattern = re.compile(pattern='[0-9]{6}')
headers = {'User... | foodish/FinanceTools | sh_sz_stock_report_downloader/year_report_gui.py | year_report_gui.py | py | 6,827 | python | en | code | 21 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "tkinter.W",
"line_number": 35... |
74158758589 | import cv2
import numpy as np
import os
import matplotlib.pyplot as plt
from functions import resize_img
path = 'data'
file_list = os.listdir(path)
file_list.sort()
X_train = []
y_train = []
for file_path in file_list:
file_name, ext = os.path.splitext(file_path)
print(file_name, ext)
if (ext == '.npy... | ha4219/doggod | a.py | a.py | py | 920 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
"line_numbe... |
13976988655 |
# coding: utf-8
# In[1]:
# Preamble
get_ipython().magic('matplotlib inline')
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import os
from bs4 import BeautifulSoup
import requests, sys, codecs, re
# Make the graphs a bit prettier, and bigger
pd.set_option('display.mpl_style', 'default')
# T... | iainharlow/English-Football-Managers | Manager Webscrape.py | Manager Webscrape.py | py | 4,382 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.set_option",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
17723359773 | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
from scrapy import Field, Item
class NewsItem(Item):
collection = 'maoyan'
rank = Field()
movie_name = Field()
actor = Field()
time = Field()
... | zhangjuynag96/maoyan_webspider | scrapy_maoyan/items.py | items.py | py | 339 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.Item",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "scrapy.Field",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scrapy.Field",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scrapy.Field",
"line_number... |
70091369468 | from collections import Counter
import datetime as dt
import argparse
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pathlib
import seaborn as sns
from sklearn.cluster import AgglomerativeClustering
from sklearn.cluster import KMeans
from sklearn.metrics import silhouette_score
from scipy... | A-baoYang/NCCU_MIS_thesis-OM_sequence_analysis | Cainiao/cainiao-clusterMetrics.py | cainiao-clusterMetrics.py | py | 11,775 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "d... |
1356138121 | from typing import Any, Dict, List, Type, TypeVar, Union
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="QueryStatisticsStoreChunk")
@attr.s(auto_attribs=True)
class QueryStatisticsStoreChunk:
"""
Attributes:
head_chunk_bytes (int):
head_chunk_lines (int):
decom... | expobrain/python-loki-client | grafana_loki_client/models/query_statistics_store_chunk.py | query_statistics_store_chunk.py | py | 3,018 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "typing.TypeVar",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "types.Unset",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "types.UNSET",
"line_number... |
45254767216 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 26 2022 20:34:00
@author: Tom Kirsh
"""
# Import Useful Libraries
import time
start = time.time()
from pathlib import Path
import os
import sys
import pickle
import json
import scipy.io as sio
import numpy as np
import matplotlib.pyplot as plt
from... | tk27182/masters-thesis | Code/run_test_nn.py | run_test_nn.py | py | 6,563 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.random.set_seed",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "tensorflow.random",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "dataproce... |
922927114 | import setuptools
with open('readme.md', 'r') as readme:
long_description = readme.read()
setuptools.setup(
name='cl_args',
version='1.0.0',
author='Senhung Wong <0x53656e@gmail.com>',
description='A python command line interface package.',
long_description=long_description,
long_descripti... | 5u4/command-line-args | setup.py | setup.py | py | 624 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 14,
"usage_type": "call"
}
] |
42664211207 |
"""
Zero Knowledge SLAM implementation in Python3
@author: nitrodegen
@date: 9 July 2022.
"""
import cv2
import numpy as np
import os,io,sys
import sdl2
from multiprocessing import Process,Manager,Value,Array,Queue,Pipe
from math import *
import pygame
from pygame.locals import *
import m... | nitrodegen/TinySLAM | slam.py | slam.py | py | 6,371 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "multiprocessing.Queue",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": ... |
14469038013 | '''
Design a data structure that supports the following two operations:
void addWord(word)
bool search(word)
search(word) can search a literal word or a regular expression string containing only letters a-z or .. A . means it can represent any one letter.
Example:
addWord("bad")
addWord("dad")
addWord("mad")
search(... | loganyu/leetcode | problems/211_add_and_search_word-data_structure_design.py | 211_add_and_search_word-data_structure_design.py | py | 1,921 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 25,
"usage_type": "call"
}
] |
13761753730 | #
# A script to analyse how the enjoyment changed between experiment 1 and 2.
#
# We're mainly interested in the game condition, as we made a bunch of game
# design/interface/graphical improvements and want to see if they paid off.
# However, there were no dramatic changes, so not expecting much.
#
# Overall, no signi... | davidgundry/intrinsic-elicitation-between | python/enjoyment_between.py | enjoyment_between.py | py | 3,486 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "seaborn.set",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "scipy.stats.mannwhitneyu",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "statistics.stdev... |
32726057319 | import json
import numpy as np
from functools import reduce
import logging
from umcog.confutils import extended_kwprop, KWProp as prop, xargs
def LOG():
return logging.getLogger(__name__)
def info(msg, extra=dict(tag="human", data={})):
LOG().info(msg, extra=extra)
def mean(l):
return sum(l) / max(len(l... | wecacuee/floyd-warshal-rl | fwrl/game/metrics.py | metrics.py | py | 7,453 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.quantile",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.quantile",
"l... |
7087887902 | from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login, logout
from .forms import ImageForm, LoginForm
from .models import Image
from .cbsdanalyzer import *
import json
import os
import csv
import... | solomonnsumba/Necrosis-_Web_Server | necrosis/views.py | views.py | py | 4,689 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render"... |
50293691 | from typing import *
from collections import defaultdict
class Solution:
def maximumSum(self, nums: List[int]) -> int:
def num2sum(num):
ans = 0
while num > 0:
ans += num % 10
num //= 10
return ans
ans = -1
dt = de... | code-cp/leetcode | solutions/6164/main.py | main.py | py | 758 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
}
] |
2484504392 | import random
from django.views.generic import View
from django.views.generic.detail import DetailView
from django.shortcuts import render
# Create your views here.
from utpshare.mixins import LoginRequiredMixin
from products.models import Product
from orders.models import Order
class UserDashboardView(View):
def... | mfrashad/utpshare2.0 | src/user/views.py | views.py | py | 2,006 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.View",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "products.models",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "products.models",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "products.mo... |
23135793100 | import smtplib
from email.mime.application import MIMEApplication
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
def gmail(subject,content,attach):
html = content
msg = MIMEMultipart() # 使用多種格式所組成的內容
msg.attach(MIMEText(html, 'html', 'utf-8')) ... | GOCAR86353/certification_apply | mailwithattach_example.py | mailwithattach_example.py | py | 1,069 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "email.mime.application.MIMEApplication",
"line_number": 14,
"usage_type": "cal... |
73052160508 | import csv
import xlwt
from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import HttpResponse
from django.urls import reverse_lazy
from django.views.generic import ListView, UpdateView, DeleteView, CreateView
from .models import Permissao
from django.views import View
class PermissaoList(Logi... | fgomesc/csc_system | apps/permissao/views.py | views.py | py | 2,069 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "models.Permissao",
"line_number": 13,
"usage_type": "name"
... |
30471374635 | #!/usr/bin/env python3
import sklearn.datasets as datasets
import numpy as np
def predict(X, w, y = None):
# X_new: Nsample x (d+1)
# w: (d+1) x 1
# y_new: Nsample
# print("\n\n")
# print(y)
numSamples = len(X)
# y_hat = np.polyval(w, X)
y_hat = np.dot(X, w)
# print(y_hat)
... | yeungngai/cs466 | A1/Q2a_TODO.py | Q2a_TODO.py | py | 3,254 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.dot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 35,
... |
16583916014 | import datetime as dt
from django.shortcuts import get_object_or_404
from rest_framework import serializers
from rest_framework.validators import UniqueValidator
from reviews.models import Category, Comment, Genre, Review, Title
from users.models import CustomUser
class UserSerializer(serializers.ModelSerializer):
... | Darel22/yamdb_final | api_yamdb/api/serializers.py | serializers.py | py | 4,904 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.EmailField",
"line_number": 13,
"us... |
374651197 | #!/usr/bin/env python3
import sys
import os
import time
import itertools
class labrat():
def __init__(self):
self.ssh_user = 'idfoster'
self.debug = True
def finger(self,import_id,server_id, server):
#code for updating the IP
#userless, uses current user and keys
cmd = 'ssh -oConnectTimeou... | lanrat/halpz.me | labrat/crawl_test.py | crawl_test.py | py | 3,194 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.popen",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"line_number": 40,
"usage_type": "call"
}
] |
3821203011 | # Код к задаче 1
import requests
import json
url = "https://akabab.github.io/superhero-api/api/all.json"
resp = requests.get(url)
with open('heroes.json', 'w') as h:
h.write(resp.text)
with open('heroes.json') as h:
resp_text = json.load(h)
comparing_heroes = {}
for hero in resp_text:
if hero['name'] in... | ArtemBalu/requests | main.py | main.py | py | 1,711 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "requests.put",
"line_number": ... |
39380947851 | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 15 15:51:37 2017
@author: jtay
"""
# Imports
import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from helpers import nn_arch,nn_reg
from matplotlib import cm
from sklearn.neural_network import MLP... | SenRamakri/CS-7641-Assignment-3 | PCA.py | PCA.py | py | 2,713 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.cm.get_cmap",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.cm",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "numpy.random.seed",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",... |
1489844568 | from django.contrib import admin
from django.urls import path
from WhiteMarket.apps.products import views
urlpatterns = [
path('products/', views.ProductList.as_view(), name=views.ProductList.name),
path('products/like/<int:pk>', views.ProductLike.as_view(), name=views.ProductLike.name),
path('products... | oscll/WhiteMarket | server/WhiteMarket/WhiteMarket/apps/products/urls.py | urls.py | py | 669 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "WhiteMarket.apps.products.views.ProductList.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "WhiteMarket.apps.products.views.ProductList",
"line_number": 6,
"usage... |
6231763116 | import random
from slackbot.bot import respond_to
from sqlalchemy.orm import join
from db import Session
from haro.arg_validator import (
BaseArgValidator,
ValidationError,
register_arg_validator,
)
from haro.botmessage import botsend, webapisend
from haro.decorators import call_when_sls_haro_not_installed... | beproud/beproudbot | src/haro/plugins/create.py | create.py | py | 12,839 | python | ja | code | 14 | github-code | 6 | [
{
"api_name": "haro.arg_validator.BaseArgValidator",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "db.Session",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "haro.plugins.create_models.CreateCommand",
"line_number": 51,
"usage_type": "argument"
}... |
80889751 | # example from: https://pytorch-lightning.readthedocs.io/en/latest/notebooks/lightning_examples/mnist-hello-world.html
# adds on from https://pytorch-lightning.readthedocs.io/en/latest/starter/introduction_guide.html
import os
import sys
import torch
from pytorch_lightning import LightningModule, LightningDataModule
f... | Code-Cornelius/CorAI | corai/tests/pytorch_light/classes_mnist_with_comments.py | classes_mnist_with_comments.py | py | 7,084 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.device_count",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
... |
29389599209 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: daisuke
"""
import gym
import numpy as np
import math
import random
import matplotlib.pyplot as plt
import operator
def Policy_function(action, state, mu, sigma):
""" 政策を表す関数 """
factor1 = 1 / (sigma * math.sqrt(2 * math.pi))
factor2 = - (action ... | tsumita/RL | Pendulum.py | Pendulum.py | py | 5,230 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.sqrt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.dot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 18,
... |
19400849039 | # Based spiritually on "Emerging Images" by Niloy J. Mitra, Hung-Kuo Chu,
# Tong-Yee Lee, Lior Wolf, Hezy Yeshurun, Daniel Cohen-Or.
# Parts of the code are blatantly stolen from opencv sample code.
# You are free to do whatever you like with this code, but nothing dirty ;)
import cv2
import numpy as np
impo... | yigals/livemerge | livemerge.py | livemerge.py | py | 5,063 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.namedWindow",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.WINDOW_NORMAL",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "cv2.namedWindow",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "cv2.WINDOW_NOR... |
12547385401 | import logging
import os
from django_q.models import Schedule
from django.contrib import messages
from django.urls import reverse
from django.utils.translation import ugettext_lazy as _
from django.utils.safestring import mark_safe
from projects.models import Simulation
from projects.requests import fetch_mvs_simulatio... | FredericHirschmueller/gui | app/projects/services.py | services.py | py | 4,299 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": ... |
23042409707 | # -*- coding: utf-8 -*-
# Author - Sam DeFrancisco
"""
Update mysql tables East_Standings West_Standings
Update Games_Today table (scores, time left in games)
My intention is for this to run often to keep website updated once integerated to db
"""
import sqlite3
import pandas as pd
# own api's from utils
from gs... | sjdefran1/GoSports | backend/db_scripts/game_standings.py | game_standings.py | py | 1,343 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "gs_api.game_api.games_today",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "gs_api.game_api.get_standings",
"line_number": 33,
"usage_type": "call"
},
{
"api_nam... |
73816591866 | """Contains all logic to handle changes to posts in the help forum."""
import textwrap
from datetime import timedelta
import arrow
import discord
from pydis_core.utils import members, scheduling
import bot
from bot import constants
from bot.exts.help_channels import _stats
from bot.log import get_logger
log = get_lo... | python-discord/bot | bot/exts/help_channels/_channel.py | _channel.py | py | 11,221 | python | en | code | 1,206 | github-code | 6 | [
{
"api_name": "bot.log.get_logger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bot.constants.Bot",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "bot.constants",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "bot.constants... |
14894996823 | import json
import os
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
import requests as r
URL = 'http://urgent.fm/'
LIVE_URl = 'http://urgent.fm/listen_live.config'
FILENAME = 'urgentfm/status.json'
def get_program():
p = r.get(URL)
b = BeautifulSoup(p.text, 'html.parser')
return ... | daveromana2/hydra | scraper/urgentfm.py | urgentfm.py | py | 922 | python | en | code | null | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"li... |
30347126161 | from django.urls import path
from . import views
urlpatterns = [
path('', views.ListPost.as_view()),
path('<int:pk>/', views.DetailPost.as_view()),
path('signup', views.SignUp),
path('login', views.LogIn),
path('study', views.EnterArticle),
path('title/', views.title),
path('Step1/', views... | GeulNoon/server | geulnoon/urls.py | urls.py | py | 852 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
21758391942 | import torch
from torch.nn import Sequential as Seq, Linear, ReLU
import numpy as np
from torch.utils.data import DataLoader
from torch_geometric.utils import scatter_
from factor_graph import FactorGraph
from sat_helpers.sat_data import parse_dimacs, SatProblems, build_factorgraph_from_SATproblem
from utils import dot... | jkuck/BPNN | old_code/loopyBP_factorGraph_broken.py | loopyBP_factorGraph_broken.py | py | 29,125 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "factor_graph.numFactors",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "factor_graph.numVars",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "torch.index_select",
"line_number": 53,
"usage_type": "call"
},
{
"api_nam... |
44762193314 | import json
import matplotlib.pyplot as plt
import numpy as np
if __name__ == '__main__':
###################File loading#######################################
file=open('anonymized_project.json')
data = json.load(file)
file=open('references.json')
reference = json.load(file)
file.close()
... | lis55/bycycle_dataset | bycycle.py | bycycle.py | py | 3,556 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"li... |
31061111452 | import subprocess
from os import path, environ, makedirs
from tempfile import gettempdir
from struct import calcsize
try:
from os import getuid
except:
# Windows does not have getuid(), so define to simply return 'tmp'
def getuid():
return 'tmp'
def get_package_dir():
return path.abspath(path.... | karolinedubin/parcels | parcels/compiler.py | compiler.py | py | 2,731 | python | en | code | null | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numb... |
1538805187 | # Imports
import cv2
import threading
import numpy as np
from mss import mss
# Tensorflow
import tensorflow as tf
import tensorflow.keras.models as models
import tensorflow.keras.layers as layers
import tensorflow.keras.losses as losses
import tensorflow.keras.optimizers as optimizers
import tensorflow.keras.utils as u... | Ryguy-1/OverwatchCNN | trainer.py | trainer.py | py | 6,318 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.keras.models.Sequential",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.layers.Conv2D",
"line_number": 31,
"usage_type": "call"
},
... |
36945443299 | import constants.color as CC
import constants.display as CD
import engine.controller.hintViewController as hintViewController
import engine.util.color as colorUtil
import engine.util.draw as drawUtil
import engine.util.text as textUtil
import globals.gameState as GS
import globals.subscriberMilestones as milestones
imp... | StefanWinterfeldt/IdleBensch | engine/controller/achievementViewController.py | achievementViewController.py | py | 2,977 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "globals.gameState.currentMouseArea",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "globals.gameState",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "globals.gameState.currentMouseArea",
"line_number": 21,
"usage_type": "attribut... |
30138288075 | # !/usr/local/python/bin/python
# -*- coding: utf-8 -*-
# (C) Wu Dong, 2020
# All rights reserved
# @Author: 'Wu Dong <wudong@eastwu.cn>'
# @Time: '2020-05-26 10:50'
from flask import Flask
from pre_request import pre, Rule
from pre_request import ParamsValueError
app = Flask(__name__)
app.config["TESTING"] = True
cli... | Eastwu5788/pre-request | examples/example_flask/example_parse.py | example_parse.py | py | 902 | python | en | code | 55 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pre_request.Rule",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pre_request.pre.fmt_resp",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pre_request.pre... |
26040893456 | from __future__ import annotations
from collections import defaultdict
from dataclasses import dataclass
from typing import Mapping
from pants.backend.python.dependency_inference.module_mapper import (
PythonModuleOwners,
PythonModuleOwnersRequest,
)
from pants.backend.python.framework.stevedore.target_types ... | pantsbuild/pants | src/python/pants/backend/python/framework/stevedore/python_target_dependencies.py | python_target_dependencies.py | py | 8,311 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.engine.target.AllTargets",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "pants.backend.python.framework.stevedore.target_types.AllStevedoreExtensionTargets",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "pants.backend.python.target_typ... |
8303657610 | import torch
from torch import Tensor
def l2_norm(embedding: Tensor) -> Tensor:
""" L2 normalization technique implementation.
Args:
embedding (Tensor): Face image embedding represented as torch tensor.
"""
return embedding / torch.sqrt(torch.sum(torch.multiply(embedding, embedding))... | mdvdv/neuroface | neuroface/face/comparison/distance.py | distance.py | py | 2,045 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "torch.Tensor",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.sqrt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.multiply",
"line_number": ... |
42468521706 | import json
import torch
def trans_index(origin_dict):
new_dict = {}
for key in origin_dict:
new_dict[int(key)] = origin_dict[key]
return new_dict
class DialogueManager:
def __init__(self, config, rec, agent, user, convhis):
with open(config.index2attribute_path, 'r') as f:
... | henrykasim/CS6101_CRS | dialoguemanager/DialogueManager.py | DialogueManager.py | py | 9,591 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 161,
... |
20066252889 | import os
import properties
from alignment import forced_alignment as fa
from text import text_preprocess as tp
from files import file_utils
def run():
# If processing a lot of chapters, sometimes calculations finish with error (fail) at some chapter;
# in that case, simply reset the starting book and chapte... | arnasRad/speech_dataset | alignment.py | alignment.py | py | 1,617 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "properties.book_list",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "files.file_utils.build_syncmap_dir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name... |
43108970424 | from typing import Any, List, Optional, Dict, Union, Iterable
from adagio.instances import TaskContext, WorkflowContext
from adagio.specs import InputSpec, OutputSpec, TaskSpec, WorkflowSpec
from triad.utils.assertion import assert_or_throw
from triad.utils.hash import to_uuid
from triad.collections import ParamDict
f... | ofili/Wrangle-and-Analyze-Data | venv/Lib/site-packages/qpd/workflow.py | workflow.py | py | 9,826 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "adagio.instances.WorkflowContext",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "qpd.qpd_engine.QPDEngine",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": ... |
41735773781 | # -*- coding: utf-8 -*-
"""
Test to check api calls
"""
import requests
import pytest
import json
import socket
URL = "http://localhost:8000"
data = {
"data": [{"key": "key1", "val": "val1", "valType": "str"}]}
term_data= {
"data": [{"key" : "terminate", "val": "val1", "valType": "str"}]}
... | sashkavyshka/salt_homework | testing/test_api.py | test_api.py | py | 7,496 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_numbe... |
21529370789 | from django import forms
from .form_view import FormView
class InstanceForm(forms.Form):
id = forms.IntegerField()
class DeleteView(FormView):
form_class = InstanceForm
model = None
instance_field = "id"
def pre_save(self, form):
return True
def save(self, form):
go_throug... | sajithak52/store-django-app | myproject/base_class/views/delete_view.py | delete_view.py | py | 987 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.forms.Form",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms.IntegerField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.for... |
7864291770 | """
Stable Distributions
-------------------------
"""
# Author: F.J. Martinez-Murcia <fjesusmartinez@ugr.es>. Based on Levy Stable code by Paul F. Harrison
import numpy as np
import scipy.special as sp
from sklearn.base import BaseEstimator
__version__ = '0.5'
_lower = np.array([-np.pi / 2 * 0.999, 0.5, -1.0])
_upp... | aavanian/pyStable | stable.py | stable.py | py | 15,647 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 1... |
45189957116 | import cv2
import numpy as np
from matplotlib import pyplot as plt
img1 = cv2.imread(r'C:\Users\miaojia.li\Desktop\111\11 (36).jpg',0)
img2 = cv2.imread(r'C:\Users\miaojia.li\Desktop\111\111 (36).jpg',0)
img3 = cv2.imread(r'C:\Users\miaojia.li\Desktop\111\1111(36).jpg',0)
# mask1 = np.zeros(img.shape[:2],np.uin... | lijiajia96/MyPythonProjection | 火焰识别/直方图绘制和分析.py | 直方图绘制和分析.py | py | 2,312 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.histogram",
"line_number": 22... |
37586663983 | import numpy as np
import matplotlib.pyplot as plt
class Env(object):
class Obstacle(object):
def __init__(self,o_x,o_y,radius):
self.o_x = o_x
self.o_y = o_y
self.radius = radius
def __init__(self,start_node,goal_node,obstacle_list=[],max_x=10,max_y=10,sp... | dohyeoklee/RRT-python | src/rrt.py | rrt.py | py | 5,781 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
45572811 | import streamlit as st
import cowsay
st.write("Ma super app !")
text = st.text_input(label="Que veux tu faire dire à l'animal ?")
cut_pet = st.selectbox(label="Quel animal doit parler ?", options=[pet for pet in cowsay.list_cows()])
if text and cut_pet:
st.text(cowsay.cowthink(text, cut_pet)) | gabigab117/my_children | main.py | main.py | py | 302 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.write",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "streamlit.text_input",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.selectbox",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cowsay.list_cow... |
33305948686 | import requests
import pytz
from datetime import datetime, timedelta
from google.cloud import bigquery
from match_league_processor import get_brawler, get_season, get_day, get_datetime
from match_league_processor import get_seasonday, get_player, get_timestamp, get_match_details
from match_league_processor import get_m... | mathieugrasland/Brawlstar-Club-Dashboard | extract_upload_logs/BS_helper.py | BS_helper.py | py | 5,640 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"... |
3989648161 | from typing import TYPE_CHECKING, Any, Dict, List, Self, Union
from attrs import define as _attrs_define
from attrs import field as _attrs_field
from ..types import UNSET, Unset
if TYPE_CHECKING:
from ..schemas.batchadd_2_result_orders_item import Batchadd2ResultOrdersItem
@_attrs_define
class Batchadd2Result:... | tlg7c5/kraken-connector | kraken_connector/schemas/batchadd_2_result.py | batchadd_2_result.py | py | 2,199 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "types.Unset",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_... |
27581892356 | import numpy as np
import pandas as pd
from keras.models import model_from_json
file = open('classifier_breast.json', 'r')
network_structure = file.read()
file.close()
classifier = model_from_json(network_structure)
classifier.load_weights('classifier_breast.h5')
new_register = np.array([[15.80, 8.34, 118, 900, 0.10... | hpeluzio/breast-cancer-base-neural-network | breast_cancer_loading_the_network.py | breast_cancer_loading_the_network.py | py | 978 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keras.models.model_from_json",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_c... |
30991677057 | """
Author: Ibrahim Sherif
Date: December, 2021
This script used for training model on the ingested data
"""
import os
import sys
import pickle
import logging
import pandas as pd
from sklearn.linear_model import LogisticRegression
from config import MODEL_PATH, DATA_PATH
logging.basicConfig(stream=sys.stdout, level=l... | ibrahim-sheriff/Dynamic-Risk-Assessment-System | src/training.py | training.py | py | 1,389 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
... |
14255791016 | from __future__ import unicode_literals
from _CAL import CAL
from _MOM.import_MOM import *
from _MOM.import_MOM import _A_Float_, _A_String_
from _TFL.I18N import _
from _TFL.pyk import pyk
import _CAL.Delta
import datetime
_Ancestor_Ess... | xiaochang91/tapyr | _MOM/_Attr/Date_Time_Delta.py | Date_Time_Delta.py | py | 2,987 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "_TFL.I18N._",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "_TFL.pyk.pyk.s... |
4478967236 | import os
import os.path
import requests
import lxml.html
import glob
import config
from parsers.rower import Rower
class ActAgeParser:
url_base = 'http://euskolabelliga.com'
file_path = config.ACT_FILES_PATH
staff = []
def get_main_page(self, year):
main_page = requests.get(self.url_base)
... | ander2/estropadak-rowers-data | parsers/actageparser.py | actageparser.py | py | 6,586 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "config.ACT_FILES_PATH",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
38603739642 | """
================================================================
!
! Trasforma i file grib contenenti la precipitazione cumulata
! da radar (cosi' come codificati ad ARPA-SIMC) in file netdcf.
!
!================================================================
"""
import getopt
import netCDF4
import numpy as np
imp... | ARPA-SIMC/cosudo | radarconverter/radar_grib2netcdf/radar_grib2netcdf.py | radar_grib2netcdf.py | py | 5,537 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "num... |
86625778634 | #! /usr/bin/env python
import sys
import os
import numpy as np
import time
from PyQt4.QtCore import *
from PyQt4.QtGui import *
from enum import Enum
from gui_utilities import *
from datetime import datetime
class QGraphicsPathItemModified(QGraphicsPathItem):
# def __init__(self, path, parent=None, gscene=Non... | mistycheney/MouseBrainAtlas | gui/widgets/SignalEmittingItems.py | SignalEmittingItems.py | py | 22,924 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "numpy.mean",
"line_number": 103,
"usage_type": "call"
}
] |
8189459040 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
# In[2]:
import urllib.request as webreq
import os
local_files = ["c:/Works/training_two_classes.svm", "c:/Works/test_two_classes.svm"]
urls = ['http://bit.ly/37FTdmY', 'http://bit.ly/2tLzzqV']
for f_name, url in zip(local_... | JakeSifo/BootCamp | LabFiles/Solutions/py code/Lab 10 - The Random Forest Algorithm.py | Lab 10 - The Random Forest Algorithm.py | py | 1,648 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.urlretrieve",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "urllib.request... |
26529002101 | import collections
from functools import reduce
import operator
from oneview_redfish_toolkit.api.computer_system import ComputerSystem
from oneview_redfish_toolkit.api.redfish_json_validator \
import RedfishJsonValidator
from oneview_redfish_toolkit.api.resource_block_collection import \
ResourceBlockCollectio... | HewlettPackard/oneview-redfish-toolkit | oneview_redfish_toolkit/api/storage.py | storage.py | py | 5,322 | python | en | code | 16 | github-code | 6 | [
{
"api_name": "oneview_redfish_toolkit.api.redfish_json_validator.RedfishJsonValidator",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "oneview_redfish_toolkit.api.computer_system.ComputerSystem.BASE_URI",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "... |
20570592848 | import sys
import cocotb
import logging
from cocotb.triggers import Timer, RisingEdge, Combine, Join, First, with_timeout
from ndk_core import NFBDevice
import cocotbext.ofm.utils.sim.modelsim as ms
import cocotb.utils
e = cocotb.external
st = cocotb.utils.get_sim_time
async def get_dev_init(dut):
dev = NFBDevi... | CESNET/ndk-app-minimal | tests/cocotb/cocotb_test.py | cocotb_test.py | py | 5,517 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "cocotb.external",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cocotb.utils",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "ndk_core.NFBDevice",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cocotb.trig... |
33548048617 | import pytest
from costcenter.models import CostCenterAllocation, FundCenterManager, FundCenterAllocation, Fund, CostCenterManager
from encumbrance.management.commands import populate, uploadcsv
from django.db.models import Sum
@pytest.mark.django_db
class TestFundCenterAllocation:
@pytest.fixture
def setup(s... | mariostg/bft | costcenter/tests/test_fundcenterallocation.py | test_fundcenterallocation.py | py | 2,315 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "encumbrance.management.commands.populate.Command",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "encumbrance.management.commands.populate",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "encumbrance.management.commands.uploadcsv.Command",
... |
19286631751 | from flask import Flask, jsonify, request, Blueprint
from services.cepService import buscaEndereco
app = Flask(__name__)
enderecoApp = Blueprint('enderecoApp', __name__)
@enderecoApp.route('/endereco/<string:cep>', methods=['GET'])
def getEndereco(cep):
if(len(cep)!= 8):
return jsonify({'error':'formato... | viiktordev/python-flask-agenda | api-cep/enderecoApi.py | enderecoApi.py | py | 484 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "services.cepService.buscaEnde... |
25548495 | # this is for looking up the SBERT embeddings, according to Documentation https://huggingface.co/sentence-transformers/bert-base-nli-mean-tokens (See Usage (HuggingFace Transformers))
import torch
from transformers import AutoTokenizer, AutoModel
model = AutoModel.from_pretrained('sentence-transformers/bert-base... | vinzenzzinecker98/blp_reproduction | lookupembs.py | lookupembs.py | py | 1,299 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "transformers.AutoModel.from_pretrained",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "transformers.AutoModel",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_number": 7,
"usage_type": "call"
},
{
"api_name"... |
17234000354 | # coding: utf-8
"""
Refinery Calc API Documentation
Integrate the powerful Refinery Calc Engine into your process using this API. # noqa: E501
OpenAPI spec version: 1.0
Contact: support@refinerycalc.com.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
impor... | refinerycalc/sdk-example-python | python/refinerycalc/models/refinery_response.py | refinery_response.py | py | 9,917 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "six.iteritems",
"line_number": 330,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 355,
"usage_type": "call"
}
] |
29439560626 | import argparse
import os
import sys
try:
import pkg_resources
except Exception:
print('pkg_resources cannot be imported probably because the pip package is not installed and/or using a '
'legacy Python interpreter. Please refer to the Get Started section of the ESP-IDF Programming Guide for '
... | espressif/ESP8266_RTOS_SDK | tools/check_python_dependencies.py | check_python_dependencies.py | py | 4,315 | python | en | code | 3,148 | github-code | 6 | [
{
"api_name": "sys.exit",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.base_prefix",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sys.prefix",
"lin... |
71732565308 | import pytest
from machine_common_sense.config_manager import Vector3d
from generator import (
ImmutableObjectDefinition,
MaterialChoice,
ObjectDefinition,
SizeChoice,
TypeChoice,
definitions,
materials
)
from generator.definitions import (
create_dataset,
finalize_each_definition_c... | NextCenturyCorporation/mcs-scene-generator | tests/definitions_test.py | definitions_test.py | py | 19,834 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "generator.definitions.create_dataset",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "generator.ObjectDefinition",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "generator.ObjectDefinition",
"line_number": 25,
"usage_type": "call"
},... |
702309456 | #!flask/bin/python
from flask import Flask, jsonify, request
import api
app = Flask(__name__)
cities = api.loadDB()
@app.route('/')
def root():
return "Hello, World!"
@app.route('/all_cities', methods=['GET'])
def list_all_countries():
return jsonify({'cities': cities})
@app.route('/city_by_name/<city_nam... | AnshuOnGit/FlaskSimpleREST | app.py | app.py | py | 1,275 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "api.loadDB",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number":... |
74489523706 | import os
import time
import json
import yaml
import glob
import logging
import argparse
import subprocess
import typing as T
import torch
import torchaudio
from tqdm import tqdm
from scipy.signal import fftconvolve
from torch.utils.data import DataLoader
from torchmetrics.classification import BinaryAUROC
from nvas3... | apple/ml-nvas3d | demo/test_demo.py | test_demo.py | py | 20,425 | python | en | code | 33 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "nvas3d.utils.utils.overlap_chunk",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "torch.stack",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "torch.no_g... |
70766870587 |
from nbdler import Request as DlRequest, dlopen, HandlerError
from helper.ctxtools import ctx
from request import requester
from pydantic import BaseModel
from utils.model import DefaultField
from utils.common import readable_file_size
from typing import Dict, List
import threading
import requests
import asyncio
impor... | ZSAIm/VideoCrawlerEngine | request/download.py | download.py | py | 6,464 | python | en | code | 420 | github-code | 6 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "utils.model.DefaultField",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "utils.model.DefaultField",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "... |
8665360320 |
from selenium import webdriver
import os
import time
# 引入鼠标驱动包
from selenium.webdriver.common.action_chains import ActionChains
browser = webdriver.Chrome()
# 定位文件的绝对路径
file_path = 'file:///'+os.path.abspath("E:/JavaWebCode/level_locate.html")
browser.get(file_path)
browser.maximize_window()
time.sleep(3)
# 定义Link1
br... | Zshuangshuang/Reload | 2021_03_12自动化学习/src2021_03_12/testDemo21.py | testDemo21.py | py | 607 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
71239333627 | from time import sleep
from kivymd.uix.screen import MDScreen
from kivy.lang import Builder
# from controllers.home import HomeScreen
# from models.androidly import Sms
from models.database import DatabaseManager
# from kivy.app import App
from models.today import today_date
from widgets import notify
# from... | Humarr/MoneyWatch | moneywatch - original/controllers/budget.py | budget.py | py | 2,312 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "kivymd.uix.screen.MDScreen",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "kivy.lang.Builder.load_file",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "kivy.lang.Builder",
"line_number": 17,
"usage_type": "name"
},
{
"api_name... |
25298614858 | #!/usr/bin/env python3
import hashlib
import hmac
import requests
import time
import uuid
API_BASE = 'https://api.walutomat.pl'
# Credentials
api_key = None
secret = None
assert api_key is not None
assert secret is not None
# Get current offers
print('Current best offers:')
print(requests.get(f'{API_BASE}/api/v1/... | Currency-One/api-examples | v1-deprecated/python/example.py | example.py | py | 1,574 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "hmac.new",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_number": 2... |
26529343726 | #이분 그래프
import sys
from collections import deque
input = sys.stdin.readline
def bfs(start):
queue = deque()
queue.append(start)
color[start] = 1
while queue:
v = queue.popleft()
for i in graph[v]:
if color[i] == 0:
queue.append(i)
color[i] = -... | Jaeheon-So/baekjoon-algorithm | DFS, BFS/1707.py | 1707.py | py | 880 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
12473133333 | import abc
from typing import Optional, TYPE_CHECKING, Type
from sympl._core.factory import AbstractFactory
from config import np
if TYPE_CHECKING:
from .advection import Advection
from .boundary import Boundary
from .diffusion import Diffusion
class Stepper(AbstractFactory):
def __init__(
... | stubbiali/burgers | python/numpy/stepper.py | stepper.py | py | 4,157 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "sympl._core.factory.AbstractFactory",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Type",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "c... |
21689178312 | import logging
from typing import Any, Set
import pyarrow.parquet as pq
from pyarrow.lib import Table
from s3fs import S3FileSystem
from ..arrow_storage import ArrowProvider
from ..storage_providers import TableName, UnstructuredStorageProvider
class S3StructuredProvider(ArrowProvider):
"""This class allows you... | openwpm/OpenWPM | openwpm/storage/cloud_storage/s3_storage.py | s3_storage.py | py | 3,213 | python | en | code | 1,286 | github-code | 6 | [
{
"api_name": "arrow_storage.ArrowProvider",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "s3fs.S3FileSystem",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "s3fs.S3FileS... |
21107990294 | import cv2
import os
from os import listdir
from os.path import isfile, join
from skimage.morphology import erosion, dilation, opening, closing, white_tophat
from skimage.morphology import disk
# Threshold make mask
selem = disk(8)
import numpy as np
import csv
from PIL import Image, ImageOps
import numpy
f... | chenxun511happy/Cartilage-Net | detection/watershed.py | watershed.py | py | 6,248 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "skimage.morphology.disk",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.dilate",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.erode",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.distanceTransform",
... |
39461287320 | #!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
import tensorflow_datasets as tfds
def plot_graphs(history, metric):
fig = plt.figure(figsize=(8, 8))
ax = plt.subplot(1, 2, 1)
ax.plot(history.history[metric])
ax.plot(history.history['val_' + metric], ... | jeremyagray/fcc-ml | imdb.py | imdb.py | py | 3,291 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "... |
39157390016 | import json
import os
import subprocess
import tempfile
import pytest
import torch
@pytest.mark.parametrize("env", ["pytorch", "torchscript", "albumentations"])
def test_lcs(env: str) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
img = (
torch.arange(10).reshape(1, 1, 1, 10).expand(-... | HiroakiMikami/benchmarks-of-deep-learning-libraries | test/cpu/test_flip.py | test_flip.py | py | 1,136 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tempfile.TemporaryDirectory",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.arange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.uint8",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.joi... |
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