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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
27483741105 | import asyncio
import json
from typing import Optional
from mattermostdriver.exceptions import NotEnoughPermissions
from mmpy_bot import Plugin, Message
from mmpy_bot.driver import Driver
from mmpy_bot.plugins import PluginManager
from mmpy_bot.settings import Settings
class ExtendedPlugin(Plugin):
seq = 1
d... | phntom/chadbot | chadbot/extended_plugin.py | extended_plugin.py | py | 1,947 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "mmpy_bot.Plugin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "mmpy_bot.driver.Driver",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "mmpy_bot.plugins.PluginManager",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": ... |
11376736575 | from typing import final
import gi
gi.require_version('Handy', '1')
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk, Handy, GLib, Gdk
from datetime import date, datetime
from time import sleep
from .custom_widgets import *
from . import utils
from uuid import uuid4
import threading
import logging
log... | hezral/keystrokes | src/window.py | window.py | py | 31,867 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "gi.require_version",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "gi.require_version",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO"... |
17025696300 | import torch
from torch import nn
class EmptyBatch(Exception):
pass
class RankingLoss(nn.Module):
def __init__(self):
super(RankingLoss, self).__init__()
self.relu = nn.ReLU()
self.delta = 10.0
def forward(self, pred, target):
pred = pred.squeeze()
target = target.squeeze()
batch_size = pred.size(0)
... | lupoglaz/DeepProteinDocking2D | Models/EQInteraction.py | EQInteraction.py | py | 1,631 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.ReLU",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number... |
74625428841 |
from Identifiers import GameType
import json
from myGame import Game
PLAYER_1 = "PLAYER_1"
PLAYER_2 = "PLAYER_2"
SET_NAME = "SET_NAME"
GET_NAME = "GET_NAME"
WAIT = "WAIT"
START = "START"
PLAY = "PLAY"
UPDATE = "UPDATE"
QUIT = "QUIT"
END = "END"
HOST = '127.0.0.1'
PORT = 5000
class TicTacToeClient:
def __init_... | AliMert/MultiGames | MultiGames/Clients/TicTacToeClient.py | TicTacToeClient.py | py | 3,664 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "myGame.Game",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "Identifiers.GameType.TicTacToe",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "Identifiers.GameType",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "... |
22277286456 | from itertools import combinations
import copy
def dfs(x, y):
# 바이러스 걸린 구역일 때만 상하좌우 보기
for i in range(4):
nx = x + dx[i]
ny = y + dy[i]
# 범위 넘어가면 넘어감
if nx < 0 or ny < 0 or nx >= n or ny >= m:
continue
# 벽 말고 빈공간일때만 전파
if temp_graph[nx][ny] == 0:
... | cheon4050/CodingTest-Study | 09주차/14502/seongeun_14502.py | seongeun_14502.py | py | 2,524 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "itertools.combinations",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 39,
"usage_type": "call"
}
] |
21655802311 | import spotipy
import pandas as pd
import json
def getTop50(token):
sp = spotipy.Spotify(auth=token)
#######Testing
# results = spotify.search(q='artist:' + 'Kendrick Lamar', type='artist')
# playlists = sp.user_playlists(username)
####### Get US Top 50 ID ##################
# playlists_US=... | danielrockwell/Spotify_API | spotify_scripts/spotify.py | spotify.py | py | 1,210 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "spotipy.Spotify",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_num... |
10408629862 | from flask import Flask, render_template, redirect, session
app = Flask(__name__)
app.secret_key = 'jnnuuhuhuh216546ihuohuuhgiygiygyi'
@app.route('/')
def sessions():
if 'count' not in session:
session['count'] = 0
session['count']+=1
return render_template("index.html", count= session['count'])
@... | AbomiDaba/Python | flask/fundamentals/counter/server.py | server.py | py | 588 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number... |
74610653800 | from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
from PyQt5 import QtGui
from PyQt5.QtGui import QImage,QPalette, QBrush
import csv
from key_solver import *
class Window(QMainWindow):
def __init__(self):
super().__init__()
reader=self.readConfig()
self.title = "Welcome To The Game"... | GetMoon2EZ/BobDylan | gui_v1.py | gui_v1.py | py | 59,095 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtGui.QPixmap",
"line_number": 195,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
"line_number": 195,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QIcon",
"line_number": 196,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
... |
16784833619 | import numpy as np
from sklearn import svm
from sklearn import metrics
from sklearn.metrics import zero_one_score
X = [[14.5], [5.5], [7.5], [10.5], [15.5], [13.5], [9.5], [8.5], [10.5], [16.5], [14.5], [11.5], [13.5], [11.5], [16.5], [13.5], [18.5], [10.5]]
y = [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1... | simka999/patternrecognition | SVM.py | SVM.py | py | 653 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.svm.SVC",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.svm",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.sqrt",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number":... |
20952224742 | #!/usr/bin/env python
# coding: utf-8
from sqlalchemy import create_engine
import pandas as pd
import os
import requests
import json
import config
import datetime
import time
dataDir='Kaggle_csvData'
column_names=['ISBN',
'Name',
'Authors',
'Description',
'Language... | DMadonko/ETL-Project | 02-ETL_Scripts/transform_and_load.py | transform_and_load.py | py | 11,212 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.fsdecode",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_n... |
22496268523 | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 07 17:48:41 2018
@author: ScanningLabAnalysis
"""
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 07 15:46:51 2018
@author: rustyn
"""
import tifffile
import os
import numpy as np
#import skimage.filters as filt
def genBkgdImg(bkgdImage):
with tifffile.TiffFile(b... | AllenInstitute/AIBSOPT | Software/DataProcessing/stackToPlanes.py | stackToPlanes.py | py | 6,115 | python | en | code | 15 | github-code | 18 | [
{
"api_name": "tifffile.TiffFile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.amin",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.amax",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tifffile.TiffFile",
"line... |
37294389094 | # Django Imports
from django import template
from django.utils.safestring import mark_safe
# WaW Imports
from wawmembers import utilities
'''
Text manipulation for the military policies page.
'''
register = template.Library()
def combobasepower(homelist, staginglist, target):
home = utilities.militarypower(ta... | heidi666/WorldsAtWar | wawmembers/templatetags/mildisplay.py | mildisplay.py | py | 1,264 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "django.template.Library",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "wawmembers.utilities.militarypower",
"line_number": 17,
"usage_type": "call"
},
{
"api_na... |
4001620134 | import collections
import contextlib
import os
import re
import threading
import time
import weakref
from six.moves import queue
from tensorflow.python.distribute.coordinator import coordinator_context
from tensorflow.python.distribute.coordinator import metric_utils
from tensorflow.python.distribute.coordinator impo... | tensorflow/tensorflow | tensorflow/python/distribute/coordinator/cluster_coordinator.py | cluster_coordinator.py | py | 77,633 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python.distribute.coordinator.remote_value.RemoteValueStatus",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.distribute.coordinator.remote_value",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "tensorflow.pyt... |
16950454230 | import numpy as np
from rtree import RTree
from node import Node
import time
from bb_utils import dist, min_dist
start_time = time.time()
n = 50000
dim = 8
per_page = 8000//(dim*2*4 + 4)
# per_page = 20
print(per_page, 'entries per page')
tree = RTree(per_page,dim)
for i in range(n):
tree.ins... | HanwenX/A-Quantative-Analysis-for-VA-in-HD-Database | rtree/test.py | test.py | py | 1,053 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "rtree.RTree",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_numbe... |
74637041320 | #!/usr/bin/python
#
# Mountain ridge finder
# Based on skeleton code by D. Crandall, Oct 2016
#1) Formulation and description:
# a) The simple model does not account the previous or the subsequent states. Hence we maximise the edge strength on each column and paint the image.
#
# b) This method uses MCMC ... | bharadwajanup/AI_Probability | part2/mountain.py | mountain.py | py | 7,397 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scipy.ndimage.filters.sobel",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.filters",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "PIL.I... |
34704058880 | from nltk.classify import PositiveNaiveBayesClassifier
import json
import math
import process.machinelearning.label_twitter_data as ltd
def features(sentence):
words = sentence.lower().split()
return dict(('contains(%s)' % w, True) for w in words)
def get_model():
new_list = []
with open('sandy.json'... | sardinachanx/S1REN | backend/process/process/machinelearning/build_model.py | build_model.py | py | 2,435 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "process.machinelearning.label_twitter_data.label_data",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "process.machinelearning.label_twitter_data",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "nltk.classify.PositiveNaiveBayesClassifier.train... |
3680700545 | from django.shortcuts import render
from django.http import HttpResponse
from privateApp import database_fetcher
from .models import Match, Player
import time
# Create your views here.
def home(request):
matches = Match.objects.all()
return render(request, "privateApp/home.html")
def search(request... | shaurya-gupta24/Dota2PrivateSearcher | dota2Private/privateApp/views.py | views.py | py | 733 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.Match.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Match.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.Match",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "djang... |
26457498132 | import logging
import discord
from discord.ext import commands
from discord_bot.commands.volleyball_commands import *
from discord_bot.exceptions.volleyball_exceptions import ImageNotFoundException, DateNotFoundException
class volleyball(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands... | Javier-Tan/discord_bot | discord_bot/cogs/volleyball_cog.py | volleyball_cog.py | py | 1,203 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "discord... |
39249943598 | import requests
import sys
__author__ = 'Andres Torti'
if __name__ == '__main__':
# Check if octoprint is available
host = 'localhost'
s = requests.Session()
s.headers.update({'X-Api-Key': 'B0BE78429FCA477DA8399CE75928E093', 'Content-Type': 'application/json'})
try:
data = s.get('http://'... | dragondgold/TmaxMicro | test_octo.py | test_octo.py | py | 707 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.Session",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 19,
"usage_type": "call"
}
] |
32156911420 | import os
from datetime import datetime
from http.cookies import SimpleCookie
from typing import AsyncGenerator, Optional, Iterator
import pytest_asyncio
from aiohttp import ClientSession
from aioresponses import aioresponses
from yarl import URL
from pymultimatic.api import Connector, urls
from pymultimatic.model im... | thomasgermain/pymultiMATIC | tests/conftest.py | conftest.py | py | 8,166 | python | en | code | 53 | github-code | 18 | [
{
"api_name": "aiohttp.ClientSession",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pytest_asyncio.fixture",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "typing.AsyncGenerator",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "ai... |
13353203392 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
import email
import smtplib
import logging
import traceback
from email import encoders
from email.header import Header
from email.mime.text import MIMEText
from email.utils import parseaddr, formataddr
from common.utils.config import SysConfig
logger = logging.getLogger(... | yyukai/oneops | apps/common/utils/email_api.py | email_api.py | py | 3,658 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "common.utils.config.SysConfig",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "email.utils.parseaddr",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": ... |
74497231080 | # render_template：参照するテンプレートを指定
# jsonify：json出力
from random import *
from flask_cors import CORS
from flask import Flask, render_template, jsonify
# CORS：Ajax通信するためのライブラリ
# static_folder：vueでビルドした静的ファイルのパスを指定
# template_folder：vueでビルドしたindex.htmlのパスを指定
app = Flask(__name__, static_folder="../frontend/dist/... | YoshiYoshiPro/HACK_U_Meijo_2022 | backend/app.py | app.py | py | 1,422 | python | ja | code | 3 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
... |
73086578279 | import streamlit as st
import pandas as pd
import plotly.graph_objects as go
from PIL import Image
st.set_page_config(layout="wide")
from streamlit_autorefresh import st_autorefresh
# update every 5 seconds limited to 100 refreshes. add (limit=100) if required,
st_autorefresh(interval=15000, key="dataframerefr... | DashSaurav/Streamlit-IOT | app.py | app.py | py | 10,562 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "streamlit_autorefresh.st_autorefresh",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar.container",
"line_number": 12,
"usage_type": "call"
},
... |
12019224410 | from pathlib import Path
from datetime import datetime
import matplotlib.pyplot as plt
import csv
path = Path('chapter16\san_francisco (16.3)\san_francisco_weather_2021.csv')
lines = path.read_text().splitlines()
reader = csv.reader(lines)
header_column = next(reader)
for index, column in enumerate(header... | jteengfo/pythonCrashCourse3rdEd | PythonCrashCourse/chapter16/san_francisco (16.3)/san_fran_weather.py | san_fran_weather.py | py | 1,210 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
19696643120 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
data = pd.ExcelFile("obes-phys-acti-diet-eng-2017-tab.xlsx")
data_age = data.parse('Table 6', skiprows=7, skipfooter=12)
data_age.rename(columns={u'Year4': u'Year', u'All persons5': u'Total'}, inplace=True)
data_age.drop(axis=1, columns={u'Unnamed... | Sk3ggox/obesity-in-england | obesity.py | obesity.py | py | 1,271 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.ExcelFile",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.polyfit",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.poly1d",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
... |
32520367986 | # Importa as bibliotecas requests e json
import requests
import json
# Inicia uma sessão com o servidor
session = requests.session()
# Cria um dicionário com a chave "palpite" inicializada com 0
dados = {"palpite": 0}
# Define o cabeçalho da solicitação com "content-type" como "application/json"
header = ... | Claudio-Prates/Exercicios---CySource | MeuAPI/cliente.py | cliente.py | py | 1,638 | python | pt | code | 1 | github-code | 18 | [
{
"api_name": "requests.session",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 26,
"usage_type": "call"
}
] |
11787911314 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import os
import PIL
from PIL import Image
import scipy.io as sio
from sklearn.utils import extmath
import numpy.random as npr
os.environ['DISENTANGLEMENT_LIB_DATA'] = '/proj/sml/usr/yixinwan... | yixinwang/representation-causal-public | disentanglement_expms/sec3-4-ioss_vae/src/load_data.py | load_data.py | py | 21,166 | python | en | code | 37 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.RandomState",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "numpy.random.Ra... |
28373563517 | from nltk.tokenize import *
import nltk.data
from nltk.corpus import inaugural
from nltk import FreqDist
from nltk.corpus import swadesh
class Preprocessor(object):
def __init__(self, text, text_id):
"""reads the file text as a string"""
self.text = text
self.text_id = text_id
@classm... | mzoesch/SymProg | 20221115/hw05_preprocessing/preprocessorRecSol.py | preprocessorRecSol.py | py | 4,808 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "nltk.corpus.inaugural.raw",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.inaugural",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "nltk.tokenize.WordNetLemmatizer",
"line_number": 44,
"usage_type": "call"
},
{
"a... |
41651855437 | from os import getenv
from dotenv import load_dotenv, find_dotenv
if not find_dotenv():
exit('Переменные окружения не загружены т.к отсутствует файл .env')
else:
load_dotenv()
API_HOST = "hotels4.p.rapidapi.com"
BOT_TOKEN = getenv('BOT_TOKEN')
RAPID_API_KEY = getenv('RAPID_API_KEY')
DEFAULT_COMMANDS = (
(... | agurinv/travelic-bot | config_data/config.py | config.py | py | 823 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.find_dotenv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_n... |
26290669622 | import sys
import websockets
import asyncio
import threading
import json
from Resources.ThreadedService import ThreadStatus
from Resources.ServiceType import ServiceType
import logging
_log = logging.getLogger("PingRelay")
class ControlServer(threading.Thread):
def __init__(self, application, config):
t... | FlyingKiwiBird/PingRelay | ControlServer.py | ControlServer.py | py | 5,099 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "thr... |
19411591895 | import math
import os
import re
import docx
from docxcompose.composer import Composer
from src.logic.pathes import main_path, out_path
from .paragraph_replace_text import paragraph_replace_text
ALL_DOCUMENTS = {
"BaseEquipment": os.path.join(main_path, "templates", "template_equipment.docx"),
}
def find_and_r... | lks-hrsch/ffwgeraetewart | src/template_processing/compose_equipment.py | compose_equipment.py | py | 3,266 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "src.logic.pathes.main_path",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "docx.Documen... |
25947226480 | from pathlib import Path
import pandas as pd
from prefect import flow, task
from prefect_gcp.cloud_storage import GcsBucket
from prefect_gcp import GcpCredentials
@task(retries=3)
def extract_from_gcs(color: str, year: int, month: int) -> Path:
"""Download trip data from GCS"""
gcs_path = f"data/{color}/{color... | mojafa/data-engineering-zoomcamp | week_2_workflow_orchestration/homework/etl_gcs_to_bq.py | etl_gcs_to_bq.py | py | 1,712 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "prefect_gcp.cloud_storage.GcsBucket.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "prefect_gcp.cloud_storage.GcsBucket",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
... |
41844201125 | """
[ref]: https://github.com/dsgiitr/d2l-pytorch/blob/master/d2l/data/fashion_mnist.py
* Download Fashion-MNIST dataset
* Get labels
* Show the dataset
"""
import sys
sys.path.insert(0, '..')
import os
import os.path as osp
import logging
import coloredlogs
import torchvision
from torchvision import transforms... | DoranLyong/Awesome_PyTorch_Tutorial | libs/data/fashion_mnist.py | fashion_mnist.py | py | 2,259 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.insert",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "coloredlogs.install",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"l... |
69963154599 | from flask import Flask, request, redirect, url_for, render_template, flash, session
from os import environ
import requests
from flask_sqlalchemy import SQLAlchemy
from rq import Queue
from rq.job import Job
from worker import conn
import json
import hmac
import hashlib
import base64
app = Flask(__name__)
app.config["... | YoungInHan/Shopify-slack-integration | hello.py | hello.py | py | 7,961 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "rq.Queue",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "worker.conn",
"l... |
39719501934 | import numpy as np
from gym.envs.mujoco import mujoco_env
from gym import utils
DEFAULT_CAMERA_CONFIG = {}
class SwimmerEnv(mujoco_env.MujocoEnv, utils.EzPickle):
def __init__(self,
xml_file='swimmer.xml',
forward_reward_weight=1.0,
ctrl_cost_weight=1e-4,
... | AI4Finance-Foundation/FinRL-Tutorials | DQN-DDPG_Stock_Trading/gym/envs/mujoco/swimmer_v3.py | swimmer_v3.py | py | 2,975 | python | en | code | 599 | github-code | 18 | [
{
"api_name": "gym.envs.mujoco.mujoco_env.MujocoEnv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "gym.envs.mujoco.mujoco_env",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "gym.utils.EzPickle",
"line_number": 9,
"usage_type": "attribute"
},
... |
41771939728 | """ajax_django URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
... | shubhamjain31/demorepo | ajax_django/ajax_django/urls.py | urls.py | py | 1,252 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "... |
21100841954 | import logging
import math
import os
import statistics
import timeit
import numpy
import torch
from benchmark_helper import Precision
from gpt2_helper import Gpt2Helper, Gpt2Inputs
logger = logging.getLogger(__name__)
class Gpt2Metric:
def __init__(self, treatment_name, baseline_name="Torch", top_k=20):
... | microsoft/onnxruntime | onnxruntime/python/tools/transformers/models/gpt2/gpt2_tester.py | gpt2_tester.py | py | 19,218 | python | en | code | 9,700 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.FloatTensor",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "torch.FloatTensor",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "stati... |
12517845502 | # -*- coding: UTF-8 -*-
# Author: Perry
# @Create Time: 2020/5/21 14:16
import os
import abc
import math
import torch
from .util import ContinualTrain
from ..core import Runner
class _CheckBase(metaclass=abc.ABCMeta):
@abc.abstractmethod
def check2save(self, cls:Runner, epoch: int):
pass
clas... | iyupan/torcherry | torcherry/utils/checkpoint.py | checkpoint.py | py | 1,937 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "abc.ABCMeta",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "core.Runner",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "math.inf",
"... |
23598173296 |
import os
import glob
from my_project import app, db
from flask import render_template, redirect, request, url_for, flash, abort
from flask_login import login_user, login_required, logout_user
from my_project.models import User
from my_project.forms import LoginForm, RegistrationForm
ALLOWED_EXTENSIONS = set(['txt', ... | sourcecode369/login-registration-flask | app.py | app.py | py | 2,925 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "my_project.app.route",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "my_project.app",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.rende... |
42621853224 | from platformio.managers.platform import PlatformBase
class Picorv32Platform(PlatformBase):
def get_boards(self, id_=None):
result = PlatformBase.get_boards(self, id_)
if not result:
return result
if id_:
return self._add_dynamic_options(result)
else:
... | nekomona/platform-picorv32 | platform.py | platform.py | py | 1,663 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "platformio.managers.platform.PlatformBase",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "platformio.managers.platform.PlatformBase.get_boards",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "platformio.managers.platform.PlatformBase",
"lin... |
43027507988 | import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from random import sample, randrange
from collections import deque
from numpy.random import default_rng, randint
from numpy import expand_dims, ndarray, stack, arange, argmax, array, repeat, tile
from models.legacy.network im... | Trenza1ore/doombot | models/legacy/dqn_agent.py | dqn_agent.py | py | 5,332 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.device",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.legacy.network.DQNv2",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.nn.MSELoss",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.... |
294114113 | from typing import Callable, Optional, List, Dict, Iterable, Tuple
from agglomerate.agglomerate_3d import Agglomerate3D, TREE_SCORE_OPTIONS
from itertools import product
from data.data_loader import DataLoader
import multiprocessing as mp
import pandas as pd
import numpy as np
from tqdm import tqdm
class BatchAgglome... | nbingo/3dtrees | agglomerate/batch_agglomerate_3d.py | batch_agglomerate_3d.py | py | 6,127 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_numbe... |
28458621243 | from flask import Flask, request, jsonify, Response
app = Flask(__name__)
app.config['PRESERVE_CONTEXT_ON_EXCEPTION'] = False
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
app.config['PRESERVE_CONTEXT_ON_EXCEPTION'] = False
class HTTPError(Exception):
def __init__(self, status_code, message):
Exc... | HEPData/hepdata-explore | kv-server/kv_server/app.py | app.py | py | 1,086 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.remote_addr",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask.request... |
73516815399 | import timm
import torch.nn as nn
from torchinfo import summary
import config
class SETIModel(nn.Module):
def __init__(self, model_name: str, pretrained: bool = True) -> None:
super(SETIModel, self).__init__()
self.model_name = model_name
self.model = timm.create_model(
model_... | LakshyaMalhotra/seti-breakthrough-listen | src/seti_model.py | seti_model.py | py | 1,776 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "timm.create_model",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "config.MODEL_NAME.start... |
15329707792 | import logging
logging.basicConfig(filename="constructor.log", level=logging.INFO, format='%(levelname)s %(asctime)s %(name)s %(message)s')
class ineuron:
logging.info("ineuron class conrtructor")
try:
def __int__(self,sunny,sudhanshu):
self.sunny=sunny
self.sudhanshu=sudhanshu
... | vipinjanghu/Ineuron_tasks | oops2/constructor_oops/constructor1.py | constructor1.py | py | 1,445 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.info",
"l... |
16045500646 | # -----------------------------------------------------------------------------
# xml.py
#
# Author: Francesco Racciatti (racciatti.francesco@gmail.com)
#
# This module contains the interpreting services for AML.
# -----------------------------------------------------------------------------
import abc
import enum
im... | francescoracciatti/aml | aml/interpreter/interpreter.py | interpreter.py | py | 5,183 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "abc.ABCMeta",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractclassmethod",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "model.types.SymbolTable",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_na... |
71427115240 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV fil... | aorursy/new-nb-3 | hemilshah_xgboost.py | hemilshah_xgboost.py | py | 4,568 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.walk",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line... |
9061528966 | import fintech.accounts as accounts
import pymysql
def write_account_transaction_to_db(filename, account):
print('Starting write of DB example')
# Open database connection
connection = pymysql.connect('localhost', 'user', 'password', 'accounts')
# prepare a cursor object using cursor() method
cur... | johnehunt/advancedpython3 | chapter24/exercise/write_account_info.py | write_account_info.py | py | 1,602 | python | en | code | 47 | github-code | 18 | [
{
"api_name": "pymysql.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fintech.accounts.CurrentAccount",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "fintech.accounts",
"line_number": 45,
"usage_type": "name"
}
] |
14353038825 | import pandas as pd
import wget
import multiprocessing
def run_process(url, output_path):
wget.download(url, out=output_path)
if __name__ == '__main__':
cpus = multiprocessing.cpu_count()
max_pool_size = 4
pool = multiprocessing.Pool(cpus if cpus < max_pool_size else max_pool_size)
df = pd.read_j... | lazarus/nft | get_images.py | get_images.py | py | 734 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "wget.download",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.rea... |
40864473606 | import datetime
from yahooquery import Ticker
import matplotlib.pyplot as plt
import pandas as pd
today = datetime.datetime.strptime(str(datetime.date.today()),'%Y-%m-%d').date()
from_date = datetime.datetime.strptime("2021-01-06", "%Y-%m-%d").date()
print(f'Collecting data from {from_date} - {today}')
#end_date = d... | gmihalik/bollinger_strategy | yahoo.py | yahoo.py | py | 769 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "datetime.date.today",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "da... |
73024051879 | # !/usr/bin/python
# -*- coding: utf-8 -*-
"""Run the main body of this code to execute experiments."""
from __future__ import absolute_import
from __future__ import print_function
import os
import os.path
import autograd.numpy as np
import autograd.numpy.random as npr
import pickle
from autograd import grad
from autog... | lorraine2/hypernet-hypertraining | code/learn_vs_true_loss_scatter.py | learn_vs_true_loss_scatter.py | py | 17,728 | python | en | code | 23 | github-code | 18 | [
{
"api_name": "autograd.numpy.linalg.norm",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "autograd.numpy.linalg",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "autograd.numpy",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "... |
19157698758 | from flask import Flask, jsonify, render_template
import pandas as pd
belly_data = pd.read_excel("belly_data.xlsx", index=None)
samples = pd.read_csv("belly_button_biodiversity_samples.csv")
meta = pd.read_csv("Belly_Button_Biodiversity_Metadata.csv")
app = Flask(__name__)
@app.route("/")
def home():
return rend... | michaeljdurst12/bio_diversity | app.py | app.py | py | 1,246 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_excel",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"lin... |
71803298280 | # File: test_cc.py
# Purpose: test the central controller backend
# Based on: ../test_hybrid.py, ../test_uniform_sched.py
import openql as ql
import os
import unittest
from config import json_dir, output_dir
from typing import List, Tuple
config_fn = os.path.join(json_dir, 'test_cfg_cc.json')
platf... | QuTech-Delft/OpenQL | test/v1x/python/test_cc.py | test_cc.py | py | 25,416 | python | en | code | 91 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "config.json_dir",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
... |
6007926971 | from datetime import datetime
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect
from virtualbarcamp.accounts.forms import AcceptCodeOfConductForm
from virtualbarcamp.accounts.models import Account
def login(request):
return render(request, "registration/logi... | cnorthwood/virtualbarcamp | virtualbarcamp/accounts/views.py | views.py | py | 1,066 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "virtualbarcamp.accounts.forms.AcceptCodeOfConductForm",
"line_number": 23,
"usage_type"... |
34790886794 | from datetime import datetime as dt
from threading import Lock, Thread
from ..customtypes import PowermeterMonitorDict
from ..hardware import S0interface, ZeroW
def _calcPower(_time: dt) -> float:
global currentTime
delta_t_sec: float = (_time - currentTime).total_seconds()
currentTime = _time
return... | ccrissccross/stromzaehler | monitoring/src/main/threads/powermeter.py | powermeter.py | py | 1,788 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "customtypes.PowermeterMonitorDict",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "... |
14849575072 | from PyQt5.QtWidgets import (
QPushButton, QDialog, QLabel,
QFileDialog, QLineEdit, QDialogButtonBox,
QFormLayout, QVBoxLayout, QWidget, QSpinBox
)
from .common_gui import accept_and_finish
from logic.train_network import train
class TrainWindow(QDialog):
def __init__(self, parent):
super().__init__(parent... | nerearoher/Phrygian | src/gui/train_gui.py | train_gui.py | py | 2,642 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QFormLayout",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 20,
"usage_type": "call"
},
{
"api_na... |
595127804 | import os
import json
import sys
import findspark
from IPython.core.display import display
import pyspark.sql.functions as psf
from pyspark.sql.functions import get_json_object
from pyspark.sql.types import ArrayType, StructType, StructField, StringType, IntegerType, DecimalType, DateType, \
DoubleType, LongType
... | pradeepsalunke/Kafka-Spark-Streaming-Django-Cassandra | MeetUp/Spark_Stream.py | Spark_Stream.py | py | 5,657 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "findspark.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.types.StructType",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pyspark.s... |
42489405763 | from datetime import datetime
end_time = datetime(2021, 2, 12, 20)
sites_to_block = ['www.facebook.com', 'facebook.com']
hosts_path = "/etc/hosts"
redirect = "127.0.0.1"
def block_sites():
if datetime.now() < end_time:
print("block sites")
# write all web-sites from our list to hostsfile
... | Niksscoder/Block-Websites-with-python | main.py | main.py | py | 973 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
}
] |
42025948282 | from types import SimpleNamespace
import torch
from torch import nn
from datasets import SentenceClassificationDataset
from multitask_classifier import MultitaskBERT, process_batch
from optimizer import AdamW
from tokenizer import BertTokenizer
from torch.utils.data import DataLoader
from tqdm import tqdm
import torch... | yaskh/dl-nlp | project/CrossEncoder.py | CrossEncoder.py | py | 2,746 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.optim",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "types.SimpleNamespace"... |
2566002204 | import cx_Freeze
executables = [cx_Freeze.Executable("main.py",
targetName="Floppy.exe",
icon="icon.ico")]
#base = "Win32GUI",
#icon = "assets/bobi_icon.png")]
build_exe_option... | CimaDeLosVientos/covid_game_jam | setup.py | setup.py | py | 608 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cx_Freeze.Executable",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cx_Freeze.setup",
"line_number": 12,
"usage_type": "call"
}
] |
27589592604 | import pickle
from hyperopt import fmin, tpe, hp, STATUS_OK, Trials
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from fastsklearnfeature.candidates.CandidateFeature import CandidateFeature
from fastsklearnfeature.candidates.RawFeature import RawFeature
from fastsklearnfeature.transformations.O... | BigDaMa/DFS | new_project/fastsklearnfeature/interactiveAutoML/complexity_vs_accuracy.py | complexity_vs_accuracy.py | py | 4,481 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "numpy.arange",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "hyperopt.Trials",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "pickle.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_numb... |
11354853498 | import logging
import sqlalchemy as sa
from datetime import datetime, timedelta
from pyramid.threadlocal import get_current_request
from sqlalchemy.dialects.postgresql import JSON
from ziggurat_foundations.models.base import BaseModel
from appenlight.models import Base, get_db_session, Datastores
from appenlight.lib... | AppEnlight/appenlight | backend/src/appenlight/models/report_group.py | report_group.py | py | 9,758 | python | en | code | 35 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "appenlight.models.Base",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "ziggurat_foundations.models.base.BaseModel",
"line_number": 19,
"usage_type": "name"
},
{
... |
36656380103 | from web3 import Web3
import time
# enter your private key. Be careful with your private key
private_key = "YOURPRIVATEKEY"
# add your blockchain connection information
infura_url = 'ADDYOURINFURAKEY'
web3 = Web3(Web3.HTTPProvider(infura_url))
print(web3.isConnected())
# enter the account that the crypto is being s... | Tinycl/web3_tool | airdrop.py | airdrop.py | py | 1,345 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "web3.Web3",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "web3.Web3.HTTPProvider",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "web3.isConnected",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "web3.eth.get_balance"... |
31917108584 | # Random Forest Module
# --------------------
from sklearn.ensemble import RandomForestClassifier
# --------------------
def model_select(model_selector):
model = None
if model_selector == 'Random_Forest':
model = RandomForestClassifier(min_samples_leaf=2, n_estimators=1000, random_state=0, verbose=1... | Cing-Chen/Introduction-to-Data-Science-Course | Final_Project/model.py | model.py | py | 575 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 11,
"usage_type": "call"
}
] |
2972582157 | from django.urls import path
from store import views
app_name = 'store'
urlpatterns = [
path('', views.store_view, name='store-view'),
path('product/<int:pk>/', views.product_detail_view, name='product-detail-view'),
path('cart/', views.cart_view, name='cart-view'),
path('checkout/', views.checkout_v... | durvalcarvalho/django-projects | ecommerce-website/store/urls.py | urls.py | py | 507 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "store.views.store_view",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "store.views",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.urls.pat... |
35252025248 | import netCDF4 as nc
import numpy as np
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.mpl.ticker as mticker
import cartopy.feature
from cartopy.util import add_cyclic_point
from matplotlib import colors
emiss1 = np.zeros([12,192,288])
nc1 = nc.Dataset('F:/SOAGx1.5_anthro_surface... | ChanJeunlam/geoscience-code | 2pic_1colorbar.py | 2pic_1colorbar.py | py | 4,038 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cartopy.util.add_cyclic_point"... |
24281037866 | from fastapi import status, HTTPException, Depends, APIRouter, Response
from sqlalchemy.orm import Session
from .. import schemas, database, models, oauth2
router = APIRouter(prefix='/likes',
tags=['Likes'])
@router.post('/', status_code=status.HTTP_201_CREATED)
def like(like: schemas.Like, db: Ses... | jpdotdev/adventshare-backend | app/routers/likes.py | likes.py | py | 1,565 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "fastapi.Depends... |
2120026934 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import spotipy
import os
#D:\PythonProjects\SpotifyRecommendationSystem
spotify_data = pd.read_csv("D:\PythonProjects\SpotifyRecommendationSystem\\data.csv")
genre_data = pd.read_csv("D:\PythonProjects\SpotifyRecommendationSy... | Shreyashpatel2701/SpotifyRecommendationSystem | main.py | main.py | py | 2,504 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "plotly.express.line",... |
4819872332 | """
682. Baseball Game
You are keeping the scores for a baseball game with strange rules. At the beginning of the game, you start with an empty record.
You are given a list of strings operations, where operations[i] is the i-th operation you must apply to the record and is one of the following:
- An integer x => Recor... | tkwang0530/LeetCode | 0682.py | 0682.py | py | 3,426 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 83,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"line_number": 101,
"usage_type": "call"
}
] |
22078834397 | import argparse
import os
import setproctitle
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from segmentron.data import DATASETS, PREPROCS, prepare_data, prepare_loader
from segmentron.model import ARCHS, BACKBONES, HEADS, prepare_model
from segmentron.metrics import LossMeter
from... | rsl18/294-82 | segmentron-master/train.py | train.py | py | 3,841 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "setproctitle.setproctitle",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "segmentron.util.setup_output",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "segmentron.util.setup_logging",
"line_number": 23,
"usage_type": "call"
},
{
... |
2976396674 | from django.shortcuts import render, redirect
from .models import Fstock
from .forms import FstockForm
# Create your views here.
def products(request):
products = Fstock.objects.all()
context = {
'products' : products
}
return render(request, template_name='fstock.html', context= context)
d... | joseff-regmi/office | fstock/views.py | views.py | py | 637 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.Fstock.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Fstock.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.Fstock",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "djang... |
34302990729 | from django.forms.widgets import ChoiceWidget
from django.shortcuts import render,redirect
from django.views.generic import TemplateView,ListView
from random import choice
from django.db.models import F
from RockPaperScissor.forms import NameForm,MoveForm
from core.models import Player,Rounds
from django.urls import r... | neelarya19/Rock-Paper-Scissor | core/views.py | views.py | py | 7,331 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "core.models.Player.objects.get",
"line_number": 21,
"usage_type": "call"
},
... |
21061193947 | # Third-party modules
import PyQt5.QtWidgets as QtWid
import PyQt5.QtCore as QtCore
import numpy as np
# filters-tool project modules
from app.designer.aux_widgets.cells_settings import Ui_CellsSettings
from app.designer.aux_widgets.comp_par_block_imp import CompParBlock
from app.cells.sallen_key import SallenKey, Ce... | grupo-tc-volcan/filters-tool | app/designer/aux_widgets/cells_settings_imp.py | cells_settings_imp.py | py | 8,902 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "app.designer.aux_widgets.cells_settings.Ui_CellsSettings",
"line_number": 14,
"usage_type": ... |
1595667997 | from __future__ import print_function
import requests
import pandas as pd
import matplotlib as plt
from StringIO import StringIO
from ipywidgets import interact, interactive, fixed, interact_manual
from ipykernel.pylab.backend_inline import flush_figures
from resultWidget import ResultWidget
class ComparisonEngine:... | jvsoest/PBDW2018_hackathon | notebooks/comparisonEngine.py | comparisonEngine.py | py | 3,225 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "StringIO.StringIO",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql_query"... |
8881070411 | import tableauserverclient as TSC
import os
import json
import shutil
from google.cloud import storage
from pathlib import Path
from os.path import exists
tableau_server_url = "https://tableau....net"
tableau_user = "...Tableau"
tableau_password = "6..."
tableau_site_id = "P..."
base_path = Path(__file__).resolve().... | rrpizzano/business_intelligence | general_code/tableau/Tableau to PDF to GCP bucket/tableau_to_pdf_to_GCP_bucket.py | tableau_to_pdf_to_GCP_bucket.py | py | 3,261 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number":... |
28075438813 | import json
from django.http import JsonResponse
from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt
from rouge import Rouge
from datasets import load_metric
# Create your views here.
def index(request):
return render(request, 'main/index.html')
i = 2
def demo(request):... | Jhj9/HLILab_Evaluation_Demo | main/views.py | views.py | py | 1,669 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "rouge.Rouge",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datasets.... |
28584758032 | from bs4 import BeautifulSoup
import requests
import pandas as pd
import numpy as np
from collections import Counter
import matplotlib.pyplot as plt
pd.set_option('display.max_rows', 100000)
from termcolor import colored
from docx import Document
import re
def import_and_clean_data(file_name):
file = open(file_... | berrythought/latvian_vocab_tool | vocab_tool_functions.py | vocab_tool_functions.py | py | 9,757 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.set_option",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "docx.Document",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_nu... |
22940546304 | # This is a sample commands.py. You can add your own commands here.
#
# Please refer to commands_full.py for all the default commands and a complete
# documentation. Do NOT add them all here, or you may end up with defunct
# commands when upgrading ranger.
# A simple command for demonstration purposes follows.
# ---... | magnacore/Productivity-Tools | Linux/config/ranger/commands.py | commands.py | py | 34,337 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "ranger.api.commands.Command",
"line_number": 68,
"usage_type": "name"
},
{
"api_name": "ranger.ext.get_executables.get_executables",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "ranger.ext.get_executables.get_executables",
"line_number": 87,
"u... |
2835967822 |
import warnings
from collections import Iterable, OrderedDict
from functools import partial
import torch
import torchvision
from torch import nn
from neuralpredictors import regularizers
from neuralpredictors.layers.activations import AdaptiveELU
from neuralpredictors.layers.affine import Bias2DLayer, Scale2DLayer
f... | GuanLab/Sensorium2022_Challenge | sensorium/cores/conv2d.py | conv2d.py | py | 13,024 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "base.Core",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "neuralpredictors.regularizers... |
37712549497 | from __future__ import print_function
from __future__ import print_function
from __future__ import print_function
from __future__ import print_function
from __future__ import print_function
from __future__ import print_function
from __future__ import print_function
from __future__ import print_function
import os
import... | juanfonsecasolis/ARAPSUAA | src/alertSignalAndScenarios/alertSignal.py | alertSignal.py | py | 10,369 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scenarios.lengthContour",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "scenarios.lengthContour",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "scenar... |
24413983145 | from tkinter import *
from tkinter import ttk, messagebox, filedialog as fd
from tkinter.ttk import Combobox
import requests
window = Tk()
window.title("Шишкин Кирилл Сергеевич")
window.geometry('700x700')
tab_control = ttk.Notebook(window)
# Калькулятор
tab_calc = ttk.Frame(tab_control)
tab_control.add(tab_calc, ... | kirillwiwkin/sovremennye-tehnologyy-razrabotky | 10-11/10(11).py | 10(11).py | py | 3,655 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.ttk.Notebook",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "tkinter.ttk.Frame",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
... |
16922935605 | #import libraries
import os
import zipfile
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import classification_report, c... | CodeDroid999/eyetrackerpy | eyetracker.py | eyetracker.py | py | 3,740 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_numb... |
29122669333 | from collections import defaultdict
#inp = [l.strip() for l in open('dec22ex.txt')]
inp = [l.strip() for l in open('22.txt')]
#print(inp)
m = defaultdict(int)
def coord(x, y): return "{};{}".format(x, y)
CLEAN = 0
WEAKENED = 1
INFECTED = 2
FLAGGED = 3
for y in range(len(inp)):
for x in range(len(inp[y])):
... | jhogstrom/adventofcode | 2017/dec22.py | dec22.py | py | 952 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
}
] |
26377349409 | from lxml import etree
FILE_NAME = 'besiktas-speed-40/osm.net.xml'
SPEED_SCALE = 2
root = etree.parse(FILE_NAME)
for elt in root.iter():
if "speed" in elt.attrib:
current_speed = float(elt.attrib["speed"])
elt.attrib["speed"] = str(current_speed * SPEED_SCALE)
if "limitTurnSpeed" in elt.attrib... | onurklngc/drone-network-onos-and-mininet | configs/change_speed.py | change_speed.py | py | 617 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "lxml.etree.parse",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "lxml.etree.tostring",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_... |
21504968554 | import tensorflow as tf
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import csv
from sklearn.preprocessing import MinMaxScaler
from sklearn import metrics
NUM_MODEL_RUNS = 1 #abs(int(input("Enter the number of times to train model and store metrics: ")))
NUM_EP... | jarod-acanfrio/RecessionNET | RecessionNET_v3.py | RecessionNET_v3.py | py | 11,699 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.optimizers.Adam",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 31,
"usage_type": "attribute"
},
... |
72552844519 | from setuptools import setup, Extension
from setuptools.command.install import install
from codecs import open
import os, os.path, struct, re, platform
import numpy
try:
from setuptools._distutils import _msvccompiler
_msvccompiler.PLAT_TO_VCVARS['win-amd64'] = 'amd64'
except:
pass
if os.environ.get('TOM... | bab2min/tomotopy | setup.py | setup.py | py | 5,801 | python | en | code | 515 | github-code | 18 | [
{
"api_name": "setuptools._distutils._msvccompiler.PLAT_TO_VCVARS",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "setuptools._distutils._msvccompiler",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_ty... |
18126632522 | #! /usr/bin/python
import pandas as pd
import numpy as np
from itertools import repeat
import matplotlib.pyplot as plt
import seaborn as sns
import itertools
# load guppy data
df = {}
barcode_list = ['01','02','03','04','05','06','08','09','10','11']
for barcode_number in barcode_list:
df[barcode_number] = pd.Dat... | hanzhang2000/Plasmodium_falciparum_ONT_5mC_calling | guppy_scatter_plot.py | guppy_scatter_plot.py | py | 4,130 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "seaborn.set_style",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
71439807400 | '''
utils.py
Utility functions used by multiple scripts.
'''
import os
import gzip
import json
import logging
import csv
import itertools
import numpy as np
import string
from operator import itemgetter
def gen_shares(filepath):
with open(filepath, 'r') as f:
shares = json.loads(f.read())
for ui... | osome-iu/misinfo-partisanship-hksmisinforeview-2021 | scripts/utils.py | utils.py | py | 2,907 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "string.printable",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
34537542425 | import sys
from collections import Counter
# +++your code here+++
# Define print_words(filename) and print_top(filename) functions.
# You could write a helper utility function that reads a file
# and builds and returns a word/count dict for it.
# Then print_words() and print_top() can just call the utility function.
d... | mukeshkhattar/python-basics | utilities/word-frequency.py | word-frequency.py | py | 776 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.Counter",
"line_number": 16,
"usage_type": "call"
}
] |
33507910123 | from scrapy.crawler import CrawlerProcess
from scrapy.utils.project import get_project_settings
from .spiders import DocScraperSpider
def crawl(domains,
start_urls=[],
directory='./output',
extensions=['.pdf', '.docx', '.doc', '.txt'],
robotstxt_obey=True,
download_d... | pjryan126/docscraper | docscraper/api.py | api.py | py | 1,936 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scrapy.utils.project.get_project_settings",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scrapy.crawler.CrawlerProcess",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "spiders.DocScraperSpider",
"line_number": 50,
"usage_type": "argu... |
18862748403 | #!/usr/bin/env python
# coding: utf-8
# In[168]:
import matplotlib.pyplot as plt
import numpy as np
import random
from cat import Cat
# In[169]:
MAXROW = 20
MAXCOL = 30
# In[170]:
def processline(linelist):
newlist = [(int(l.split(",")[0]),int(l.split(",")[1])) for l in linelist[1:]]
return newlist
... | UmeendraFranciscus/Game_Simulation | Game_03/main.py | main.py | py | 7,541 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
... |
73652739880 | from typing import List
def minimumOperations(nums: List[int]) -> int:
cont = 0
while sum(nums) != 0:
print(nums)
min_number = min(elem for elem in nums if elem != 0)
nums = list(map(lambda x: x - min_number if x != 0 else 0, nums))
cont += 1
return cont
if... | fdzr/DSA | array/67.py | 67.py | py | 379 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
25793552335 | # %%
from typing import Optional, Union
import pandas as pd
import numpy as np
import requests, re, os
from concurrent.futures import ProcessPoolExecutor
class Decrypter:
"""Simple MCMC decryption algorithm using random walk"""
def __init__(self, text_url: str,
allowable_chars: str = r... | cesaregarza/Python-Playground | practice/mcmc/mcmc_decoder.py | mcmc_decoder.py | py | 13,472 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.cpu_count",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_numbe... |
23572532142 | import subprocess
import os
import re
import abc
import datetime
class BaseBackend(object):
__metaclass__=abc.ABCMeta
@abc.abstractmethod
def create_tmp_file(self, version_dir):
return
@abc.abstractmethod
def get_parsed_commit(self):
return
class SVNBackend(BaseBackend):
... | pmoliva/Commits-Plots | backend.py | backend.py | py | 2,017 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "abc.ABCMeta",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractmethod",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractmethod",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.ch... |
6628321745 | from django.urls import path
from .views import *
app_name = 'expenses'
urlpatterns = [
# Admin Site URLs
# Client Site URLs
# Api Urls
path('expense/list/', ExpenseListAPIView.as_view(), name="expenses"),
path('expense/<int:id>/', ExpenseDetailAPIView.as_view(), name="expense"),
] | alish-xeno/incomeexpensesapi | expenses/urls.py | urls.py | py | 315 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 16,
"usage_type": "call"
}
] |
24437412876 | from django.conf import settings
from django.conf.urls import patterns, include, url
from django.conf.urls.static import static
from filebrowser.sites import site
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns(
'',
url(r'^$', 'pmsal.core.views.home', name='home'),
# url(r'^... | klebercode/pmsal | pmsal/urls.py | urls.py | py | 1,420 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 11,
"usage_type": "call"
},
{
"ap... |
26516955105 | import dataclasses
from typing import Any, Dict, List
from acme import core
from acme import types
from acme.multiagent import types as ma_types
LearnerState = Any
@dataclasses.dataclass
class SynchronousDecentralizedLearnerSetState:
"""State of a SynchronousDecentralizedLearnerSet."""
# States of the learners... | deepmind/acme | acme/agents/jax/multiagent/decentralized/learner_set.py | learner_set.py | py | 2,425 | python | en | code | 3,100 | github-code | 18 | [
{
"api_name": "typing.Any",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "acme.multiagent.types.AgentID",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "acme.multiag... |
9672331221 | from django.test import TestCase
from django.utils.translation import override
from modeltrans.manager import transform_translatable_fields
from modeltrans.utils import (
build_localized_fieldname,
get_instance_field_value,
get_language,
get_model_field,
split_translated_fieldname,
)
from .app.mod... | zostera/django-modeltrans | tests/test_utils.py | test_utils.py | py | 2,975 | python | en | code | 47 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "modeltrans.utils.get_language",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.override",
"line_number": 20,
"usage_type": "call"
},
{
... |
40605590617 | from copy import deepcopy
from pathlib import Path
class FileFamily():
def __init__(self):
r'''A file family collects multiple asset names sharing the same path.
'''
self.path = b""
self.assets = []
def set_path(self, path):
self.path = path
def add_as... | r00142/NEA | file_handlers/file_family.py | file_family.py | py | 2,082 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 47,
"usage_type": "call"
}
] |
72777841001 | from django.contrib.auth import get_user_model
from django.shortcuts import get_object_or_404
from rest_framework import serializers
from .models import Referral
from .referral import attach_referral
#------------------------------------------------------------------------------
class ReferralSerializer(serializers.M... | alexsheets/Revibe-Referrals-Microservice | Service-Referrals/referrals/serializer.py | serializer.py | py | 1,638 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.CharField",
"line_number": 10,
"usage... |
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