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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
17968159051 | from pymysql import cursors
import math
from api.common.db import get_db
class UserAccess:
def __init__(self):
self.db = get_db()
def user_all(self, page, size):
cursor = self.db.cursor(cursor=cursors.DictCursor)
query_sql = ' where 1=1 '
query_param_limit = []
query_p... | Kepler-XX/flask_handle | api/dataaccess/user/userdataaccess.py | userdataaccess.py | py | 765 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "api.common.db.get_db",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors.DictCursor",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pymysql.cursors",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "m... |
32803396247 | #!/usr/bin/env python
import os
from flask import Flask, render_template
import tmdb
import settings
app = Flask(__name__)
themoviedb = tmdb.TMDB(settings.API_KEY)
@app.route('/')
def index():
movies = themoviedb.now_playing()
return render_template('index.html', movies=movies)
@app.route('/movie/')
@app.ro... | ddominguez/TMDb-api-demo | app.py | app.py | py | 986 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tmdb.TMDB",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "settings.API_KEY",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.render_template",
... |
25071838592 | from datetime import datetime
from sqlalchemy import func, select
from sqlalchemy.orm import SessionTransaction
from app.infra.constants import InventoryOperation
from app.infra import models
async def increase_inventory(
product_id: int,
*,
quantity: int,
transaction: SessionTransaction,
) -> models.... | jonatasoli/fast-ecommerce-back | app/inventory/repository.py | repository.py | py | 1,480 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "sqlalchemy.orm.SessionTransaction",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "app.infra.models.InventoryDB",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "app.infra.models",
"line_number": 15,
"usage_type": "name"
},
{
"a... |
18379371372 | import os, shutil, tkinter.filedialog, tqdm, hashlib
#Can be used to search for bitwise identical files and separate them from the main set
src_dir = tkinter.filedialog.askdirectory()
temp_dir = os.path.join(src_dir, 'Duplicates')
os.makedirs(temp_dir, exist_ok=True)
map = set()
def hash(file):
with open(f... | Genos-Noctua/Scripts | Duplicates.py | Duplicates.py | py | 793 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tkinter.filedialog.filedialog.askdirectory",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.filedialog",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "tkinter.filedialog",
"line_number": 3,
"usage_type": "name"
... |
14376982322 | import warnings
from argparse import ArgumentParser
from os.path import join
import joblib
import numpy
from optuna import create_study
from sklearn.impute import SimpleImputer
with warnings.catch_warnings():
warnings.simplefilter("ignore")
import tensorflow as tf
# Local packages
try:
import RARinterpret... | Richard-Sti/RARinterpret | scripts/run_nnparam.py | run_nnparam.py | py | 3,156 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "warnings.catch_warnings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.pat... |
16564352960 | import json
import mimetypes
import os
from django.shortcuts import render
from django.core import serializers
from .models import Log
from django.http import HttpResponse
from django.http import JsonResponse
from django.core.serializers.json import DjangoJSONEncoder
from datetime import date, datetime, timedelta
from... | arishrehmankhan/visitor_logger | logger/views.py | views.py | py | 4,303 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "models.Log.objects.all",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.Log.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "models.Log",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.core... |
42643440373 | import flask
from flask import request, jsonify
from config import config
import psycopg2
app = flask.Flask(__name__)
app.config["DEBUG"] = True
# Adds data for our catalogue in the form of a list of dictionaries
@app.route("/add_details", methods=["GET", "POST"])
def add_details_page():
if request.method == "P... | aerodigi/bristolunch | app/api.py | api.py | py | 12,119 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask.request.form... |
41612500645 | import logging
from typing import Optional
from pedantic import pedantic_class
from src.models.running_token import RunningToken
from src.models.text import Text
from src.models.token_state_condition import \
TokenStateCondition
from src.models.token_state_modification import \
TokenStateModification
@pedan... | rathaustreppe/bpmn-analyser | src/models/token_state_rule.py | token_state_rule.py | py | 1,452 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "src.models.token_state_condition.TokenStateCondition",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 17,
"usage_type": "name"
},
{
... |
19942705134 | from rest_framework import generics, status
from rest_framework.response import Response
from .serializers import (
PostSerializer,
)
from rest_framework import (
status,
viewsets,
filters,
mixins,
generics,
)
from .models import (
Post,
)
from rest_framework.permissions import (
AllowAn... | sparkai-ca/realestate | post/views.py | views.py | py | 6,181 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.viewsets.GenericViewSet",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "rest_framework.mixins.CreateModelMixin",
"line_number": 31,
"usage_ty... |
31268143302 | from selenium import webdriver
from time import sleep
class InstaBot:
#login in to instagram
def __init__(self,username,pw):
self.username = username
self.pw = pw
self.friends = []
self.driver = webdriver.Chrome()
self.driver.get("https://instagram.com")
sleep(2)... | hlferreira/Selenium-Instagram-Bot | InstaScript.py | InstaScript.py | py | 11,626 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
29871462854 | import requests
from bs4 import BeautifulSoup
import pandas as pd
import json
import datetime
from .utils import *
def loadata(name, start=None,end=None,decode="utf-8"):
"""
Load Data
Inputs:
Input | Type | Description
==========================================================... | AmineAndam04/BVCscrap | BVCscrap/load.py | load.py | py | 4,098 | python | en | code | 22 | github-code | 1 | [
{
"api_name": "datetime.datetime.today",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "bs4.Beaut... |
23521147749 | import json
#Opening File
jsonFile = open("./public/json-sample.json")
#load the json data as JSON object
data = json.load(jsonFile)
#Iterating the JSON Object
for i in data['customers']:
print(i)
#Close the file once finished the operation
jsonFile.close()
| jainvikram444/python-basic-examples-3.10.7 | 02-read-json.py | 02-read-json.py | py | 267 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
}
] |
38961817510 | import os
import requests
with open('domains.txt', 'r') as f:
domains = [line.strip() for line in f]
with open('results.txt', 'w') as f:
for domain in domains:
url = f"http://{domain}"
response = requests.get(url)
if response.status_code == 200:
path = os.path.join(domain, ... | agentjacker/svn-finder | sv.py | sv.py | py | 646 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_num... |
15971173081 | from aiida.orm import CalculationFactory, DataFactory
from base import ordered_unique_list
import os
class VaspMaker(object):
'''
simplifies creating a Scf, Nscf or AmnCalculation from scratch interactively or
as a copy or continuation of a previous calculation
further simplifies creating certain ofte... | greschd/aiida-vasp | aiida/orm.calc.job.vasp/maker.py | maker.py | py | 17,170 | python | en | code | null | github-code | 1 | [
{
"api_name": "aiida.orm.CalculationFactory",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 164,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 164,
"usage_type": "attribute"
},
{
"api_name": "os.path.... |
15712467618 | from cs207project.storagemanager.storagemanagerinterface import StorageManagerInterface
from cs207project.timeseries.arraytimeseries import ArrayTimeSeries
import numpy as np
import json
class FileStorageManager(StorageManagerInterface):
"""
This class inherits from the StorageManagerInterface ABC and implements it... | gitrdone4/cs207project | cs207project/storagemanager/filestoragemanager.py | filestoragemanager.py | py | 5,354 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cs207project.storagemanager.storagemanagerinterface.StorageManagerInterface",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number": 104,
"usage_type": "ca... |
72325948193 | #!/usr/bin/env python
"""
Created on Thu Aug 25 21:43:45 2016
@author: John Swoboda
"""
import numpy as np
import scipy as sp
import scipy.constants as spconst
import matplotlib.pylab as plt
import seaborn as sns
sns.set_style("whitegrid")
sns.set_context("notebook")
from ISRSpectrum import Specinit
def main():
... | jswoboda/ISRSpectrum | Examples/ionetemp.py | ionetemp.py | py | 1,589 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "seaborn.set_style",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "seaborn.set_context",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
... |
1671208309 | import datetime
from io import BytesIO
import discord
from discord.ext import commands
from dotenv import load_dotenv
from PIL import Image, ImageChops, ImageDraw, ImageFont
load_dotenv()
TOKEN = "OTA3MzAzNjAwMTM5Njc3Nzgw.YYlOUw.n6YYL1TRL3UNWao_fe9Ekakb8IA"
client = commands.Bot(command_prefix="!", help_com... | Federico-Tahan/probotot | main.py | main.py | py | 12,220 | python | es | code | 0 | github-code | 1 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "disco... |
5102741779 | from __future__ import division
import os, sys, time, random, argparse
from pathlib import Path
from PIL import ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True # please use Pillow 4.0.0 or it may fail for some images
from os import path as osp
import numbers, numpy as np
import init_path
import torch
import dlib
impo... | visionshao/LipMotionDetection | SAN/san_eval.py | san_eval.py | py | 9,313 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "PIL.ImageFile.LOAD_TRUNCATED_IMAGES",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "PIL.ImageFile",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "... |
3243298205 | import math
import numpy as np
import torch
def input_matrix_wpn_2d(inH, inW, scale, add_scale=True):
outH, outW = int(scale * inH), int(scale * inW)
scale_int = int(math.ceil(scale))
h_offset = torch.ones(inH*scale_int)
w_offset = torch.ones(inW*scale_int)
mask_h = torch.zeros(inH*scale_int)
... | miracleyoo/Meta-SSSR-Pytorch-Publish | matrix_input.py | matrix_input.py | py | 7,064 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "math.ceil",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.ones",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.ones",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 11,
... |
29786504578 | import cv2
import numpy as np
import matplotlib.pyplot as plt
import os
import csv
import pandas as pd
from PIL import Image
#root = '/home/miplab/data/Kaggle_Eyepacs/train/train_full'
#save_path = '/home/miplab/data/Kaggle_Eyepacs/train/train_full_CLAHE'
#annotations_path = '/home/miplab/data/Kaggle_Eyepacs/train/tra... | JustinZorig/fundus_anomoly_detection | clahe_preprocessing.py | clahe_preprocessing.py | py | 1,778 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.walk",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
35349989578 | """Import a discussion from the old research database."""
from django.core.management.base import BaseCommand, CommandError
from _comment_database import Story
from group_discussion.models import Topic, Comment
from pony.orm import db_session
from django.contrib.auth.models import User
class Command(BaseCommand):
... | jscott1989/newscircle | group_discussion/management/commands/import_topic.py | import_topic.py | py | 3,061 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pony.orm.db_session",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "_comment_database.Story",
"line_number": 23,
"usage_type": "name"
},
{
... |
16557961615 | # https://leetcode.com/problems/flood-fill/
# Solved Date: 20.05.12.
import collections
class Solution:
def flood_fill(self, image, sr, sc, newColor):
visit = [[False for _ in range(len(image[0]))] for _ in range(len(image))]
queue = collections.deque()
queue.append((sr, sc, image[sr][sc]... | imn00133/algorithm | LeetCode/May20Challenge/Week2/day11_flood_fill.py | day11_flood_fill.py | py | 1,072 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 10,
"usage_type": "call"
}
] |
28599657749 |
from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from .models import Profile
class UserRegisterForm(UserCreationForm):
email = forms.EmailField()
class Meta:
model = User
fields = ['username', 'email', 'password1', 'p... | GovardhanNM/blog-website | users/forms.py | forms.py | py | 1,997 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.forms.EmailField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.forms",
"line_number": 9,
"usage_type": "name"
},
{
"api_... |
11645330285 | # -*- coding: utf-8 -*-
import scrapy
import sqlite3
from ..items import HvgarticleItem
class HvgarticlesSpider(scrapy.Spider):
name = 'hvgarticles'
allowed_domains = ['hvg.com']
conn = sqlite3.connect(r'C:\Users\Athan\OneDrive\Documents\Dissertation\Python\webscraperorigo\url.db')
curr = conn.cursor()... | AJszabo/dissertation | hvgarticle/hvgarticle/spiders/hvgarticles.py | hvgarticles.py | py | 2,330 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "items.HvgarticleItem",
"line_number": 40,
"usage_type": "call"
}
] |
43312588716 | import sys
import requests
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
def get_all_ids_ujz(category="most-popular", page_number="1"):
url = "https://www.youjizz.com/" + category + "/" + page_number + ".html"
headers = {
'Cookie':... | naderjlyr/yt-downloader-back | downloads/view/adult/youjizz.py | youjizz.py | py | 3,353 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.request",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 25,
"usage_type": "call"
},
{
"api_... |
1908173277 | import tkinter as tk
import tkmacosx as tkmac
from tkinter import ttk
from tkinter import simpledialog
from matplotlib.figure import Figure
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import cube_moves as cm
import time
from db import add_session, display_sessions
def cube_timer(master=None, root=... | gaurav-behera/virtual-rubiks-cube | rubiks_cube/cube_timer.py | cube_timer.py | py | 7,752 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tkinter.Frame",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tkinter.Frame",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tkinter.Frame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_n... |
5961849769 | import json
from ast import literal_eval
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.utils.decorators import method_decorator
from django.shortcuts import render
from django.http import HttpResponse, JsonResponse
from django.views.generic import TemplateView, View
from django.vi... | vpodpecan/brapi-python | jsonapi/views.py | views.py | py | 19,838 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.core.paginator.Paginator",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "django.core.paginator.EmptyPage",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "django.views.generic.View",
"line_number": 99,
"usage_type": "name"
},
... |
32044848439 |
import requests, os
import json
import openpyxl
import glob
states = ['Alabama',
'Alaska',
'Arizona',
'Arkansas',
'California',
'Colorado',
'Connecticut',
'Delaware',
'Florida',
'Georgia',
'Hawaii',
'Idaho',
'Illinois',
'Indiana',
'Iowa',
'Kansas',
'Kentucky',
'Louisiana',
'Maine',
'Maryland',
'Massachusetts',
'Mich... | nanites2000/lat_long_finder | lat_long_xls.py | lat_long_xls.py | py | 2,455 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "glob.glob",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_... |
15644547901 | # from datetime import datetime
import httpx
from django.http import JsonResponse
API_BASE = "http://localhost:8080/api/v1"
from django.views.decorators.http import require_GET
@require_GET
def pokemons_golang(request):
with httpx.Client() as client:
resp = client.get(API_BASE + "/pokemons/").json()
... | pliniomikael/django-go-performance | backend/pokemon/views/golang_api.py | golang_api.py | py | 567 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "httpx.Client",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.views.decorators.http.require_GET",
"line_number": 11,
"usage_type": "name"
},
{
"ap... |
36242862348 | from django.shortcuts import render
from django.views import View
from django.urls import reverse_lazy
from task_manager.tasks.models import Task
from task_manager.tasks import forms
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from task_manager.mixins import LoginRequiredMixin
from django.u... | Labidahrom/task-manager | task_manager/tasks/views.py | views.py | py | 2,134 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.views.generic.list.ListView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "task_manager.tasks.models.Task",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "task_manager.tasks.forms.TaskFilter",
"line_number": 21,
"usage_type": ... |
71716837795 | # Modified from: https://github.com/pliang279/LG-FedAvg/blob/master/utils/train_utils.py
from torchvision import datasets, transforms
from models.Nets import MLP, CNNCifar100Multi, CNNCifarMulti, MLPMulti, CNN_FEMNISTMulti
from utils.sampling import noniid, noniid_global
import os
import json
from log_utils.log... | skyarg/FedEC | utils/train_utils.py | train_utils.py | py | 5,744 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 10,
"usage_type": "call"
},
{
... |
42027772083 | #!venv/bin/python
##This code is incomplete. Use at own risk.
#TODO: re-architect so there's client-side timekeeping if the server becomes unavailable
import requests
import json
import uuid
import ConfigParser
import sys
import argparse
import psutil
import os
import subprocess
defuser="foo"
defpass="bar"
Config = ... | then3rd/dman-py | dman-client.py | dman-client.py | py | 7,937 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "ConfigParser.RawConfigParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "psutil.process_iter",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "psutil.Pr... |
32185653886 | import urllib3
import ssl
from pyVmomi import vim
from pyVim import connect
from copy import copy
import datetime
from plugins.VCenter import PluginVCenterScanBase
from utils import output
from utils.consts import AllPluginTypes
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
class PluginVCenter... | Amulab/CAudit | plugins/VCenter/Plugin_VCenter_Scan_2011.py | Plugin_VCenter_Scan_2011.py | py | 1,995 | python | en | code | 250 | github-code | 1 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "plugins.VCenter.PluginVCenterScanBase",
"line_number": 15,
"usage_type": "name"
},
{... |
22743221263 | from flask import Flask, Blueprint, render_template, request, send_file, redirect, url_for,session,json
import os
from jsot_to_csv import json_csv_conv
app = Flask(__name__)
json_csv = Blueprint('json-csv', __name__)
app.config['UPLOAD_FOLDER'] = os.path.join(os.environ["USERPROFILE"], 'Desktop')
@json_csv.route('/... | hsamvel/Flask_App | website/json_to_csv.py | json_to_csv.py | py | 1,219 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,... |
19298224268 | from imutils import resize
import numpy as np
import time
import cv2
import csv
# Write columns in the x_values.csv
# Format [R:Int, G:Int, B:Int, Area:Float]
def write_col_x(rowcita):
with open('./dataset/x_values_test.csv', 'a', newline='') as csvfile:
spamwriter = csv.writer(csvfile, delimiter=',',
... | dameos/computer_vision_classification | write_dataset_using_video.py | write_dataset_using_video.py | py | 3,757 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "csv.writer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_MINIMAL",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "csv.writer",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_MINIMAL",
... |
19401162497 | """
Write a Python program to calculate number of days between two dates. Note: try to import datetime module
Sample dates : (2014, 7, 2), (2014, 7, 11)
Expected output : 9 days
"""
from datetime import date
d1 = date(2014, 7, 2)
d2 = date(2014, 7, 11)
nums = d2 - d1
print(nums.days) | kallykj/learnpython | FromW3resource/src/basic14.py | basic14.py | py | 286 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.date",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 10,
"usage_type": "call"
}
] |
28106726008 | ##################
# Author : Sooraj Bharadwaj
# Date: 04/13/2022
#################
# IMPORTS
import wikipedia as wk
import json
import tkinter as tk
def randomPageGenerator():
"""
This function generates a random page from the wikipedia.
@param: None
@return: json object with page and page.metadata
... | surajbharadwaj17/random-wiki | util.py | util.py | py | 1,860 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "wikipedia.random",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "wikipedia.page",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_... |
3178436922 | import asyncio
from dataclasses import dataclass
from pathlib import Path
from typing import Optional, Set, List, Tuple, Dict
import aiosqlite
from blspy import G1Element
from chia.types.blockchain_format.sized_bytes import bytes32
from chia.util.ints import uint32, uint64
from chia.util.lru_cache import LRUCache
fro... | amuDev/Chia-Pooling | store.py | store.py | py | 6,020 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "chia.util.streamable.Streamable",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "chia.types.blockchain_format.sized_bytes.bytes32",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "blspy.G1Element",
"line_number": 19,
"usage_type": "name... |
28964666541 | import os
import random
import time
from copy import deepcopy, copy
from twisted.conch import recvline
from twisted.conch.insults import insults
from honeySSH import core
from honeySSH.core.config import config
from honeySSH.core import honeyFilesystem
class HoneyBaseProtocol(insults.TerminalProtocol):
def __in... | Jerry-zhuang/HoneySSH | honeySSH/core/honeyProtocol.py | honeyProtocol.py | py | 7,808 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "twisted.conch.insults.insults.TerminalProtocol",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "twisted.conch.insults.insults",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "honeySSH.core.config.config",
"line_number": 16,
"usage... |
12171467469 | import torch
import torch.nn as nn
import numpy as np
import math
# Embeds each token in vocab into vector space. Simple lookup table.
class TokenEmbedding(nn.Module):
def __init__(self, vocab_size: int = 256, dim: int = 64) -> None:
super(TokenEmbedding, self).__init__()
self.dim = dim
se... | VashishtMadhavan/transformers-scratch | embeddings.py | embeddings.py | py | 1,363 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
16503325102 | #!/usr/bin/env python
import os
import re
import sys
import bXML
import stat
import datetime
import cStringIO
import traceback
try:
import xattr
kXattrAvailable= True
except:
kXattrAvailable= False
def pathToList(path):
elements= []
while True:
(path, name)= os.path.split(path)
elements.insert(0, name)
if ... | marcpage/build | old/old/bManifest.py | bManifest.py | py | 6,553 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.split",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number":... |
71405995554 | #!/usr/bin/env python
"""
Table Docstring
The Table class represents the control of the
Turing Machine as the entire functional (edge)
relation between some defined present state and
the next target state.
"""
import math
import copy
from lib.State import State
from typing import Set, List, Tuple
from lib.controls... | dpozorski/TuringMachine | lib/controllers/table/Table.py | Table.py | py | 8,791 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "lib.Controller.Controller",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.Set",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "lib.controllers.table.Edge.Edge",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "... |
13005074253 | # This file is part of PAINTicle.
#
# PAINTicle is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# PAINTicle is distributed in the hop... | FrankFirsching/PAINTicle | painticle/sim/frictionstep.py | frictionstep.py | py | 2,201 | python | en | code | 36 | github-code | 1 | [
{
"api_name": "bpy.props.FloatProperty",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "numpy.clip",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",... |
16165070884 | import numpy as np
from enum import Enum
from udacidrone import Drone
import time
visdom_available= True
try:
import visdom
except:
visdom_available = False
class PlaneMode(Enum):
"""
Constant which isn't defined in Mavlink but useful when dealing with
the airplane simulation
"""
SUB_MODE_... | telmo-correa/FCND-FixedWing | plane_drone.py | plane_drone.py | py | 5,420 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "enum.Enum",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "udacidrone.Drone",
"line_number": 24,
"usage_type": "name"
}
] |
43618923048 | import asyncio
import sys
from room import ChatRoom
def main(argv):
name = argv[1] if len(argv) >= 2 else "AChat"
port = int(argv[2]) if len(argv) >= 3 else 9999
loop = asyncio.get_event_loop()
chat_room = ChatRoom(name, port, loop)
server = chat_room.run()
loop.run_forever()
if __name__ ... | Nef1k/AsyncChat | main.py | main.py | py | 354 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "asyncio.get_event_loop",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "room.ChatRoom",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
}
] |
12533484804 | #!/usr/bin/env python3
"""
Base64 encode an image and output the element based on the specified format.
Usage:
Base64_encode.py [options] [image]
"""
import argparse
import base64
import sys
import tempfile
from urllib.parse import urlparse
import requests
parser = argparse.ArgumentParser(description=__doc__)
p... | bblinder/home-brews | base64_encode.py | base64_encode.py | py | 4,167 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "tempfile.N... |
9152596133 | import pytest
from django.test import RequestFactory
from mixer.backend.django import mixer
from apps.core.views import ResubscribeView
pytestmark = pytest.mark.django_db
class TestResubscribe:
def test_auth_resubscribe_with_payments(self):
profile = mixer.blend('core.Profile')
mixer.blend('core... | oadiazp/erpsomosmas | apps/core/tests/test_views/test_resubscribe.py | test_resubscribe.py | py | 628 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pytest.mark",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "mixer.backend.django.mixer.blend",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mixer.backend.django.mixer",
"line_number": 12,
"usage_type": "name"
},
{
"api_n... |
4365606556 | import logging
import os
import re
import signal
import sys
from typing import Callable, List, TYPE_CHECKING, Union
import dill as pickle
from oletools.olevba import VBA_Parser
from oletools.thirdparty.oledump.plugin_biff import cBIFF
from symbexcel.excel_wrapper import ExcelWrapper, parse_excel_doc
from .boundsheet ... | ucsb-seclab/symbexcel | symbexcel/simulation_manager.py | simulation_manager.py | py | 10,078 | python | en | code | 13 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "state.State",
... |
32212352055 | import purchase
import utils.queries as queries
#Function that will take user input on how to order our clothing articles (for print-out)
#After it calls orderBy, this function will call purchase if input is valid. Input will be the clothing ID of the article of clothing you want to buy
def viewAndPlace(connection, cu... | jcprice12/PythonDB | prompts/browse.py | browse.py | py | 1,287 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "utils.queries.printClothesInOrder",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "utils.queries",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "utils.queries.selectArticle",
"line_number": 37,
"usage_type": "call"
},
{
"api_n... |
36364918583 | #!/usr/bin/env python
__author__ = 'danielcarlin'
import pandas
import scipy.stats
import numpy.random
from optparse import OptionParser
from theano_maskedRBM import makeMatricesAgree
import operator
from math import fabs
def corr_matrices(data_in,rbm_out,spearman=True):
"""Take two matrices and return the correl... | decarlin/RIGGLE | scripts/post_rbm_analysis.py | post_rbm_analysis.py | py | 3,800 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "theano_maskedRBM.makeMatricesAgree",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.stats.stats.spearmanr",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scipy.stats.stats",
"line_number": 27,
"usage_type": "attribute"
},
{
... |
72165751073 | import os
import numpy as np
import cv2
import classifier
from sklearn.model_selection import train_test_split
from modelevaluation import load_rep_images
import matplotlib.pyplot as plt
# set constants
args = {
"images_per_category": 10000,
"num_categories": 43,
"testing_data_directory": "gtsrb-testin... | drwiggle/GTSRB-CNN | imgenhmodeltesting.py | imgenhmodeltesting.py | py | 13,101 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "numpy.save",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "os.pa... |
74872598754 | """SQLAlchemy one-to-many relationship with multiple foreign keys.
https://avacariu.me/writing/2019/composite-foreign-keys-and-many-to-many-relationships-in-sqlalchemy
"""
from pathlib import Path
from typing import List
from sqlalchemy import (
Column,
ForeignKey,
ForeignKeyConstraint,
Integer,
... | Pitrified/recipinator | backend/be/notebooks/relation/one_to_many_sa_dup.py | one_to_many_sa_dup.py | py | 2,922 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sqlalchemy.orm.declarative_base",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 29,
"usage_type": "argument"
},
{
"api_name... |
20681551463 | """ Perform quick baseline benchmarck based on bag of words
for sentiment analysis
Author: Pham Quang Nhat Minh (FTRI)
"""
import os
import sys
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn import metrics
from sklearn import c... | minhpqn/sentiment_analysis_vlsp_2016 | bow_baseline.py | bow_baseline.py | py | 3,409 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.system",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": ... |
1876221377 | from datetime import datetime
import django
import os
import sys
# Required for models to load
project_root = os.path.abspath(os.path.join(os.path.dirname(
os.path.abspath(__file__)), '..', 'network'))
sys.path.insert(0, project_root)
os.environ['DJANGO_SETTINGS_MODULE'] = 'project4.settings'
django.setup()
fr... | LorenzoPeve/CS50_Web | project_4/etl/init_etl.py | init_etl.py | py | 3,704 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_nu... |
33352868921 | # Services
import logging
from typing import List
# Own
from arq_server.base.ArqErrors import ArqError
from arq_server.services.CoreService import Configuration,Base
from arq_server.services.support.SecurityTools import Security
class NormalizeSelector:
# Services TIPS
__logger: logging.Logger
__config: Co... | RafaelGB/pythonScripts | Arquitectura/arq_server/services/protocols/logical/NormalizeSelector.py | NormalizeSelector.py | py | 4,989 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.Logger",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "arq_server.services.CoreService.Configuration",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "arq_server.services.support.SecurityTools.Security",
"line_number": 13,
... |
22290561342 | from typing import Any, Dict, Optional
import httpx
from ...client import Client
from ...models.mediation_grant import MediationGrant
from ...types import Response
def _get_kwargs(
mediation_id: str,
*,
client: Client,
) -> Dict[str, Any]:
url = "{}/mediation/requests/{mediation_id}/grant".format(cl... | Indicio-tech/acapy-client | acapy_client/api/mediation/post_mediation_requests_mediation_id_grant.py | post_mediation_requests_mediation_id_grant.py | py | 2,755 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "client.Client",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "client.base_url",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "typing.Dict",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "client.get_headers",
... |
21542111875 | import os
import time
import torch
from argparse import ArgumentParser
from MemSE.nas import DataloadersHolder, ResNetArchEncoder
from MemSE.training import RunManager, RunConfig
from ofa.model_zoo import ofa_net
from MemSE.nn import OFAxMemSE, FORWARD_MODE, MemSE
from MemSE import ROOT
parser = ArgumentParser()
parse... | sebastienwood/MemSE | experiments/conference_2/ofa_early_tests/ofa_overhead.py | ofa_overhead.py | py | 2,230 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_... |
18242721965 | import argparse
import generator.generator as generator
import shared.db as db
from shared import validators
parser = argparse.ArgumentParser()
parser.add_argument("--type", type=validators.check_data_type, default="u",
help="Specify the type of data: u - uncorrelated, w - weakly correlated, s - s... | wwolny/evolutionary-knapsack-problem | generate.py | generate.py | py | 1,392 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "shared.validators.check_data_type",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "shared.validators",
"line_number": 8,
"usage_type": "name"
},
{
"api... |
11983713355 | from __future__ import print_function
import collections
import string
class Program:
def __init__(self, program, program_id, queues):
self.registers = collections.defaultdict(int)
self.registers['p'] = program_id
self.queues = queues
self.program = program
self.idx = 0
... | dfyz/adventofcode | 2017/18/sln.py | sln.py | py | 2,330 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "string.letters",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin",
"line_number": 75,
"usage_type": "attribute"
}
] |
24495933626 | import matplotlib.pyplot as plt
def visualize_data(title,ylabel,xlabel):
plt.scatter(x_train, y_train, marker='x', c='r')
# Set the title
plt.title(title)
# Set the y-axis label
plt.ylabel(ylabel)
# Set the x-axis label
plt.xlabel(xlabel)
plt.show()
| JeremiahTheFirst/MachineLearningClasses | Python_Coursera/SecondWeek/visualize_data.py | visualize_data.py | py | 287 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matp... |
34707942970 | """Adds versioning `User.authorized`
Revision ID: ee3c6c0702a6
Revises: 0fbbcf5eb614
Create Date: 2021-10-04 03:41:16.571947
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'ee3c6c0702a6'
down_revision = '0fbbcf5eb614'
branch_labels = None
depends_on = None
d... | jshwi/jss | migrations/versions/ee3c6c0702a6_adds_versioning_user_authorized.py | ee3c6c0702a6_adds_versioning_user_authorized.py | py | 676 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Boolean... |
16845073288 | import threading
import time
import logging
import serial
import pynmea2
log = logging.getLogger('gnss')
class GnssThread(threading.Thread):
def __init__(self, q, NMEAPort):
threading.Thread.__init__(self)
self.q = q
self.NMEAPort = NMEAPort
self.live = True
self.nmea = Non... | jcrawfordor/cellscan | cellscan/gnss.py | gnss.py | py | 1,186 | python | en | code | 25 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "threa... |
37240069738 | import pathlib
import sys
module_dir = pathlib.Path(__file__).parent.resolve()
root_dir = module_dir.parent
model_dir = root_dir.joinpath("models")
asvlite_wrapper_dir = root_dir.joinpath("dependency", "ASVLite", "wrapper", "cython")
sys.path.insert(0, str(asvlite_wrapper_dir))
import os.path
import math
import multipr... | resilient-swarms/StormExplorers | source/rudder_controller.py | rudder_controller.py | py | 11,698 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": ... |
31343094774 | import math
from django.shortcuts import render
# Create your views here.
from django.views import View
from goods.models import *
from django.core.paginator import Paginator
from django.http.response import HttpResponseBase
# 主页显示
class IndexView(View):
def get(self, request, cid=1, num=1):
# 所有通过url位置传... | yimin12/A_GeniusShopping | goods/views.py | views.py | py | 3,228 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.views.View",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.core.paginator.Paginator",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.sh... |
17783054773 | # -*- coding: utf-8 -*-
"""
v2.0 - 23-Feb-2017
Changes:
(1) In perspective_transformation(): Corrected persective transformation source and destination points.
(2) In edge_detect(): Corrected color conversion.
(3) In detect_lanes() and opt_detect_lanes(): Corrected calculation of radii of curvature and vehicl... | gollaratti/advanced_lane_finding | advanced_lane_finding.py | advanced_lane_finding.py | py | 26,579 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.zeros",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "numpy.mgrid",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"lin... |
26385352063 | from django.shortcuts import render
from django.contrib import messages
from .models import Contact
def home(request):
return render(request, 'home/home.html')
def about(request):
name = 'Foyez Ahammad'
skill = ' Git & Github, Django, MySQL, Basic Front-End (HTML, CSS, JS, Bootstrap), Django REST Framew... | foyez-ahammad/django-practices | SHOP/home/views.py | views.py | py | 1,233 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
},
{
"api_name":... |
74539482592 | import errno
from tempfile import TemporaryDirectory
from unittest.mock import patch
import escapism
import pytest
import docker
from repo2docker.__main__ import make_r2d
from repo2docker.app import Repo2Docker
from repo2docker.utils import chdir
def test_find_image():
images = [{"RepoTags": ["some-org/some-rep... | jupyterhub/repo2docker | tests/unit/test_app.py | test_app.py | py | 4,565 | python | en | code | 1,542 | github-code | 1 | [
{
"api_name": "unittest.mock.patch",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "repo2docker.app.Repo2Docker",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "unittest.mock.patch",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "r... |
42292475980 | import torch
import torch.nn as nn
# Import the skrl components to build the RL system
from skrl.models.torch import Model, GaussianMixin, DeterministicMixin
from skrl.memories.torch import RandomMemory
from skrl.agents.torch.ppo import PPO, PPO_DEFAULT_CONFIG
from skrl.resources.schedulers.torch import KLAdaptiveRL
f... | abmoRobotics/isaac_rover_2.0 | omniisaacgymenvs/train.py | train.py | py | 7,235 | python | en | code | 13 | github-code | 1 | [
{
"api_name": "skrl.utils.set_seed",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "hydr... |
13858043669 | import logging
import os
from datetime import datetime
from bson.objectid import ObjectId
from celery import shared_task as task
from celery.utils.log import get_task_logger
from products.models import Product
from utils.mongodb import mongo_db, mongo_update
logger = get_task_logger(__name__)
@task(name='jms_produ... | HASSINE-BENABDELAZIZ/ecommerce | products/tasks.py | tasks.py | py | 2,738 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "celery.utils.log.get_task_logger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "name"
},
{
"api_name... |
43565136672 | from django.conf import settings
from django.utils.translation import ugettext_lazy as _
def robots(request):
return {'ROBOTS_NOINDEX': getattr(settings, 'ROBOTS_NOINDEX', False)}
def google_analytics(request):
key = 'GOOGLE_ANALYTICS_TRACKING_ID'
return {key: getattr(settings, key, False)}
def ribbon... | colab/colab | colab/home/context_processors.py | context_processors.py | py | 675 | python | en | code | 23 | github-code | 1 | [
{
"api_name": "django.conf.settings",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "django.conf.settings",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "django.conf.settings",
"line_number": 15,
"usage_type": "argument"
},
{
"api_nam... |
1579619363 | import matplotlib.pyplot as plt
import torch.nn.functional as F
import argparse
import torch
import os
def calc_accuracy(model, data_loader, device):
correct_pred = 0
instance_count = 0
with torch.no_grad():
model.eval()
for x, y in data_loader:
x, y = x.to(device), y.to(devic... | shaynaor/AlexNet_PyTorch | utils.py | utils.py | py | 4,336 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.no_grad",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.max",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.softmax",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn.function... |
12640380193 | import xml.etree.ElementTree as ET
from capas_proyecto.acceso_a_datos.comprobar_long_dict import contar_canciones_xml
def crear_dicc_nombre_ruta(RUTA_XML):
try:
arbol = ET.parse(RUTA_XML)
except FileNotFoundError:
exit("El nombre del archivo XML no es correcto.")
except ET.ParseError:
... | DanielFernandezR/vlc-random-playlist | capas_proyecto/acceso_a_datos/api.py | api.py | py | 813 | python | es | code | 0 | github-code | 1 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.ParseError",
"line_number": 10,
"usage_type": "attribute"
},
{
... |
72243807394 | from apple import Apple
from board import Board
from snake import Snake
from algorthim import DFS
import pygame
from constants import GAME,SNAKE,APPLE,COLOR,SCALE
import time
import random
from a import *
#GAMELOOP
class Game:
def __init__(self, display):
self.display = display #instance
self.s... | adambenaceur/AutonomousSnake | run.py | run.py | py | 2,793 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.time.Clock",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "board.Board",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "apple.Apple",
"lin... |
597656300 | import os
import time
import cv2
import itertools
import numpy as np
from tqdm import tqdm
import matplotlib.pyplot as plt
from tensorflow.keras.optimizers import Adam
import tensorflow.keras.applications.inception_v3 as inception_v3
import tensorflow.keras.applications.inception_resnet_v2 as inception_resnet_v2
impo... | Otazz/KaggleOSIC | network.py | network.py | py | 8,241 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.listdir",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": ... |
14467288238 | import numpy as np
from sklearn import metrics
import matplotlib.pyplot as plt
from kmeans import *
from minibatchkmeans import *
from gmm import *
from Dense_AutoEncoder import *
from CNN_AutoEncoder_TSNE import *
# load the data
data1 = np.load(r'kmnist-train-imgs.npz')
data2 = np.load(r'kmnist-train-labels.npz')
tr... | Mateguo1/KMNIST | cluster/main.py | main.py | py | 3,316 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.normalized_mutual_info_score",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sk... |
71344922594 | from django.core.paginator import Paginator, EmptyPage
from django.core.serializers import serialize
from django.shortcuts import render, redirect, reverse, get_object_or_404
from django.views import View
from django.contrib.auth.mixins import LoginRequiredMixin
from .forms import CreateOfferForm
from companies.m... | cyber-tatarin/crossm | crossm/offers/views.py | views.py | py | 11,407 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "users.mixins.AccessForMembersOnlyMixin",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.views.View",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "forms.CreateOfferForm",
"line_number": 34,
"usage_type": "call"
},
{
"ap... |
5410461819 | from datetime import datetime, timezone
import json
import logging
from math import ceil
from slugify import slugify
from flask import Response, request
from flask_camp import current_api, allow
from sqlalchemy.sql.functions import func
from werkzeug.exceptions import BadRequest
from c2corg_api.search import Document... | c2corg/c2c_api-poc | c2corg_api/views/sitemap.py | sitemap.py | py | 8,364 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "c2corg_api.search.DocumentLocaleSearch",
"line_number": 30,
"usage_type": "argument"
},
{
"api_name": "flask_camp.current_api.database.session.query",
"line_number": 29,
"usage_ty... |
35196334080 | from direct.gui.OnscreenImage import OnscreenImage
from pandac.PandaModules import TransparencyAttrib
from direct.gui.OnscreenText import OnscreenText
from direct.showbase.DirectObject import DirectObject
from pandac.PandaModules import TextNode
from gui.GUIOrder import GUIOrder
from event.InventoryEvent import AmmoCh... | czorn/Modifire | net/modifire/hud/HUDBottomRight.py | HUDBottomRight.py | py | 2,563 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "direct.showbase.DirectObject.DirectObject",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "gui.GUIOrder.GUIOrder.ORDER",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "gui.GUIOrder.GUIOrder",
"line_number": 15,
"usage_type": "name... |
39497210901 | from collections import deque
from sys import stdin
def bfs(x,n,visited,graph):
queue = deque([x])
visited[x] = 1
while queue:
x = queue.popleft()
for v in graph[x]:
if visited[v] == 0:
visited[v] = 1
... | yundaehyuck/Python_Algorithm_Note | theory_source_code/graph/connected_component.py | connected_component.py | py | 697 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "sys.stdin.readline",
... |
32278157428 | import sqlite3 as sql
import numpy as np
import pandas as pd
import pickle
import os
import joblib
import onnx
import onnxruntime as rt
import torch
filename = "./svm_iris.onnx"
PROJECT_ROOT = os.path.dirname(os.path.realpath(__file__))
rf_model_loaded = onnx.load(os.path.join(PROJECT_ROOT, "static/rf_... | AlexeyKlimov-git/Innopolis-ML-course | test_predict_model.py | test_predict_model.py | py | 1,401 | python | en | code | 0 | github-code | 1 | [
{
"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.realpath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "onnx.load",
"line_n... |
13210877907 | import numpy as np
import matplotlib.pyplot as plt
class differential:
"""Solver of differential equations
using RK4. diffEq should be a function with the
differential equation that returns acceleration.
All variables inside diffEq must be global"""
def __init__(self, diffEq, plot_str, dt=0.01, T=2... | simehaa/University | fys2130/project.py | project.py | py | 2,477 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
... |
17203669123 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('spirit_user', '0004_auto_20150731_2351'),
]
operations = [
migrations.AddField(
model_name='userprofile',
... | nacoss-biu/nacoss-biu | spirit/user/migrations/0005_auto_20151206_1214.py | 0005_auto_20151206_1214.py | py | 675 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
22098178009 | import yfinance as yf
import datetime
import pandas as pd
def get_dados(siglas, num_dias = 588, intervalo = '1wk', inicio = '', fim = ''):
"""
siglas -> []
Retorna uma lista de DataFrames
com os valores de fechamento das siglas passadas
"""
if inicio == '':
inic... | Nadyan/stock-analysis | dados/get_data.py | get_data.py | py | 828 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "datetime.date.today",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
14538126773 | #!/usr/bin/env python
# encoding: utf-8
from rdflib.serializer import Serializer
import configparser
import corpus
import csv
import glob
import json
import rdflib
import sys
CONFIG = configparser.ConfigParser()
CONFIG.read("rc.cfg")
PREAMBLE = """
@base <https://github.com/Coleridge-Initiative/adrf-onto/wiki/Voca... | Coleridge-Initiative/RCHuman | rcc1/bin/gen_ttl.py | gen_ttl.py | py | 3,528 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "corpus.get_hash",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"... |
26219494731 | import tvm
import tvm.relay as relay
import tvm.relay.testing as testing
from graphviz import Digraph
import os
from collage.utils import get_backend_from_backend_pattern_annotation
def _traverse_expr(node, node_dict):
if node in node_dict:
return
if isinstance(node, tvm.ir.op.Op):
return
... | mikepapadim/collage-non-tvm-fork | python/collage/analysis/visualize.py | visualize.py | py | 4,763 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "tvm.ir",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "collage.utils.get_backend_from_backend_pattern_annotation",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "graphviz.Digraph",
"line_number": 36,
"usage_type": "call"
},
{... |
36975188047 | # -*- coding: cp1252 -*-
import io
import os
import sys
import time
import misctools
import stringtools
class Apho:
def __init__( self ):
self.thous = [] # list of pair (sentence, author)
self.aCountSaid = [] # for each sentence, number of said time
self.aLastSaid = [] # time of last sai... | alexandre-mazel/electronoos | alex_pytools/apho.py | apho.py | py | 13,380 | python | fr | code | 2 | github-code | 1 | [
{
"api_name": "io.open",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "misctools.getThisFilePath",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "stringtools.lowerList",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "usual_words.f... |
71989716193 | """SimPhoNy-wrapper for celery-workflows"""
import logging
from typing import TYPE_CHECKING
from osp.core.namespaces import emmo
from osp.core.session import SimWrapperSession
from .celery_workflow_engine import CeleryWorkflowEngine
if TYPE_CHECKING:
from typing import UUID, Any, Dict, List, Optional
from ... | simphony/reaxpro-workflow-service | osp/wrappers/celery_workflow_wrapper/celery_workflow_wrapper.py | celery_workflow_wrapper.py | py | 5,175 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "osp.core.ses... |
22409149985 | # coding:utf8
# author:winton
import logging
import os
import datetime
import argparse
from conf import Config
from util import Util
from ConsumerManager import ConsumerManager
class Lams:
'''
控制数据收集的主要流程
'''
def init(self):
'''
读取配置并完成初始化
'''
loggerConfig = Config.l... | WintonLuo/Lams | lams.py | lams.py | py | 3,982 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "conf.Config.logger",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "conf.Config",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "os.path.split",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line... |
20048142461 | from django.urls import path
from .views import MovieList,MovieDetail,MovieCategory,MovieLanguage,MovieSearch,MovieYear,MostWatch
from django.conf.urls import url
app_name='movie'
urlpatterns = [
path('', MovieList.as_view(),name='Movie_List'),
path('category/<str:category>', MovieCategory.as_view(),name='Mo... | sureshsaravananbabu/IMDB-clone | imdb/movie/urls.py | urls.py | py | 673 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.MovieList.as_view",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.MovieList",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.urls.pat... |
9758744512 | import sys
import traceback
import zipfile
from array import *
import re as regEx
import random
import socket
import struct
import ipaddress
import subprocess
import os
from datetime import datetime
import time
import logging
# Regex strings for all it should search for in the files
ipv4Pattern = regEx.compile(r'(25[... | Cripyy/Random-scripts | washingscript.py | washingscript.py | py | 32,410 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "re.compile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 33,
... |
70755553954 | __all__ = [
"JobItem",
]
import datetime
import top
class JobItem(top.Table):
"""job_item table ORM.
"""
_job = top.Job()
_agent_stocktake = top.AgentStocktake()
def __init__(self):
"""Toll Outlet Portal job_item table initialiser.
"""
super(JobItem, self).__init__('j... | loum/top | top/table/jobitem.py | jobitem.py | py | 27,503 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "top.Table",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "top.Job",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "top.AgentStocktake",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
36412894737 | import numpy as np
import cv2
import glob
import os
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--rgb_path", type=str, help="raw image path", default='./data_augmentation/raw_data/bg_img/select/total/')
# parser.add_argument("--mask_path", type=str, help="raw image path", defaul... | chansoopark98/Tensorflow-Keras-Semantic-Segmentation | data_augmentation/make_blank_label.py | make_blank_label.py | py | 1,674 | python | en | code | 12 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
70004662115 | #!flask/bin/python
from flask import Flask, jsonify, request, json
import requests
import time
from core import test_class
from BeautifulSoup import BeautifulSoup
app = Flask(__name__)
@app.route('/ytc/search', methods=['GET'])
def get_tasks():
start_time = time.time()
q1 = request.args.get('q')
url = 'ht... | gauravsingh1983/pythonscripts | web/__init__.py | __init__.py | py | 2,385 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
... |
4254375058 | import ssl
import re
import traceback
from urllib.request import Request, urlopen
import requests
import json
from careerjet_api import CareerjetAPIClient
from bs4 import BeautifulSoup, SoupStrainer
from concurrent.futures import ThreadPoolExecutor
# --------------------------------------------------------------------... | Victor-JB/LinkHS-Jobs-API | get_full_description.py | get_full_description.py | py | 3,265 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "concurrent.futures.ThreadPoolExecutor",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "... |
70861202914 | import threading
import mock
import pytest
from blazingmq import BasicHealthMonitor
from blazingmq import Error
from blazingmq import QueueOptions
from blazingmq import Session
from blazingmq import session_events
from blazingmq.testing import HostHealth
def test_receiving_host_health_events():
# GIVEN
spy ... | bloomberg/blazingmq-sdk-python | tests/integration/test_health_monitoring.py | test_health_monitoring.py | py | 2,921 | python | en | code | 15 | github-code | 1 | [
{
"api_name": "mock.MagicMock",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "blazingmq.BasicHealthMonitor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "threading.Event",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "blazingmq... |
34860632841 | """
Code for running experiments for
"Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback".
"""
import argparse
import yaml
import warnings
import tensorflow as tf
from trainer import Trainer, Tuner
possible_model_names = ['uniform', 'uniform-at', 'user', 'user-at', 'item', 'item-at',
... | usaito/asymmetric-tri-rec-real | src/main.py | main.py | py | 1,857 | python | en | code | 23 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tensorflow.get_logger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": ... |
23550339540 | import logging as logger
import os
from pyspark.sql import DataFrame
from ddataflow.exceptions import BiggerThanMaxSize
from ddataflow.sampling.default import filter_function
from ddataflow.utils import get_or_create_spark
class DataSource:
"""
Utility functions at data source level
"""
def __init_... | getyourguide/DDataFlow | ddataflow/data_source.py | data_source.py | py | 4,121 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "ddataflow.sampling.default.filter_function",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "ddataflow.utils.get_or_create_spark",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 69,
"usage_type": "call"
... |
29461253994 | import dearpygui.dearpygui as dpg
from data import extract_data, get_path2
dpg.create_context()
path2data = get_path2("Test_spectrum.syn")
x, y, _ = extract_data(path2data)
# Screen resolution for window scaling. dpi for correct font size.
res_x, res_y = 1920, 1080
dpi = 150
with dpg.font_registry():
# first ar... | zhukgleb/synth_spectrum | gui.py | gui.py | py | 1,598 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dearpygui.dearpygui.create_context",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "dearpygui.dearpygui",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "data.get_path2",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "da... |
24649723716 | import os
import sys
import warnings
import platform
import datetime as dt
import numpy as np
import matplotlib.pyplot as mp
import matplotlib.dates as md
def dmy2ymd(dmy):
return dt.datetime.strptime(
str(dmy, encoding='utf-8'),
'%d-%m-%Y').date().strftime('%Y-%m-%d')
def read_d... | smakerm/list | note/step4/爬虫笔记/18. DataScience/day05/smr.py | smr.py | py | 4,832 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.loadtxt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy... |
28567646925 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"View module showing all messages concerning discarded beads"
from typing import cast
from bokeh import layouts
from model.plots import PlotState
from taskview.plots import PlotView, CACHE_TYPE, TaskPlotCreator
from ... | depixusgenome/trackanalysis | src/qualitycontrol/view/_view.py | _view.py | py | 3,713 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "model.plots.PlotState",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "model.plots.PlotState",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "model.plots.PlotState.active",
"line_number": 28,
"usage_type": "attribute"
},
{
"api... |
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