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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
14372065002 | # -*- coding: utf-8 -*-
from telebot import types
import sqlite3 as sq
from datetime import date
import time
import datetime
import requests
from bs4 import BeautifulSoup as Bs
from telebot import TeleBot
from fake_useragent import UserAgent
import random
from threading import Thread
from config import *
def get_proxy(... | NurAbain/kvartira_bishkek_1.0.0 | parser_kvartiry.py | parser_kvartiry.py | py | 36,966 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "random.choice",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "fake_useragent.UserAgent",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup... |
30710495366 | import matplotlib
matplotlib.use('Agg')
import sys
import pynbody
import pynbody.plot as pp
import pynbody.plot.sph as sph
import matplotlib.pylab as plt
import numpy as np
import h5py as h5
pynbody.config['number_of_threads'] = 2
def make_plots():
output = int(sys.argv[1])
plot_type = sys.argv[2]
cr = ... | ibutsky/synthetic_spectra | scripts/plotting/pynbody_plots.py | pynbody_plots.py | py | 4,708 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.use",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pynbody.config",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_... |
7442842816 | import requests
import card
import json
import sys
from bs4 import BeautifulSoup
# Get Request for Webpage
def card_page_init(card_webpage):
response = requests.get(card_webpage)
if response.status_code != 200:
print("Error fetching page")
exit()
else:
content = response.content
... | dm554/BuddyfightCardWebScraper | main.py | main.py | py | 4,141 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "card.Monster",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "card.Monster",
"line_... |
20741454900 | import json
import re
import logging
from __init__ import app
def extract_dispatch_content(text):
pattern = r'R9\.redux\.dispatch\((\{.+?\})\)'
matches = re.findall(pattern, text, flags=re.DOTALL)
return matches
def add_quotes(json_str):
# Agregar comillas a las claves de primer nivel
regex_keys =... | danielurrutxua/easyflight | scrapi/app/search/service/sources/utils/kayak_parser.py | kayak_parser.py | py | 1,665 | python | es | code | 1 | github-code | 1 | [
{
"api_name": "re.findall",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.DOTALL",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 18,
"u... |
74540232672 | import os
import re
from traitlets import List, default
from .base import BaseConverter
from ..preprocessors import (
InstantiateTests,
ClearOutput,
CheckCellMetadata
)
from traitlets.config.loader import Config
from typing import Any
from ..coursedir import CourseDirectory
class GenerateSourceWithTests... | jupyter/nbgrader | nbgrader/converters/generate_source_with_tests.py | generate_source_with_tests.py | py | 1,375 | python | en | code | 1,232 | github-code | 1 | [
{
"api_name": "base.BaseConverter",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "traitlets.default",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "traitlets.List",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "preprocessors.Ins... |
32458720992 | # CS5487 demo script for Programming Assignment 2
#
# The script has been tested with python 2.7.6
#
# It requires the following modules:
# numpy 1.8.1
# matplotlib v1.3.1
# scipy 0.14.0
# Image (python image library)
import pa2
import numpy as np
import pylab as pl
import scipy.io as sio
from PIL import Image... | brookgao/Machine-Learning | Assignment2/Problem2/python/test_pa2.py | test_pa2.py | py | 2,147 | python | en | code | 12 | github-code | 1 | [
{
"api_name": "PIL.Image.open",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "pylab.subplot",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pylab.imshow",
"line_numbe... |
3275424876 | from typing import List
from PyQt5 import QtGui
import networkx as nx
from commandbar.api import cmdutils
from commandbar.commands.cmdexc import PrerequisitesError
from commandbar.utils import objreg
from mainwindow.graph_view import GraphView
from mainwindow.mainwindow import MainWindow
from tree_covers.pygraph.metric... | yairmol/graphui | commands/stretch.py | stretch.py | py | 3,000 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "mainwindow.mainwindow.MainWindow",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "commandbar.commands.cmdexc.PrerequisitesError",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "commandbar.commands.cmdexc.PrerequisitesError",
"line_number":... |
21106216381 | # -*- coding: utf-8 -*-
# This script goes through USFM files, generating a list of verses that contain properly marked footnotes.
# Reports errors to stderr and issues.txt.
# Set source_dir and usfmVersion to run.
# Global variables
source_dir = r'C:\DCS\Portuguese\pt-br_ulb'
usfmVersion = 2 # if version 3.0 or g... | unfoldingWord-dev/tools | usfm/listFootnotes.py | listFootnotes.py | py | 5,352 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "re.compile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "sys.stderr.write",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number... |
34623651816 | # -*- coding: utf-8 -*-
# +
import argparse
import datetime
import random
import time
import pandas as pd
from pathlib import Path
import torch
import torchvision.transforms as standard_transforms
import numpy as np
from PIL import Image
import cv2
from crowd_datasets import build_dataset
from engine import *
from mo... | kookmin-sw/capstone-2023-26 | headcount/CrowdCounting_P2PNet/run_test_stream.py | run_test_stream.py | py | 4,511 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.environ"... |
29341535711 | import cv2
import numpy as np
img = cv2.imread('/home/kanish/Documents/ICR advanced forms/Advanced handwritting samples/athul_scanned/525/525_2.png', 0)
kernel = np.ones((5, 1), np.uint8)
erosion = cv2.erode(img, kernel, iterations=1)
cv2.imwrite('morphex.png', erosion)
cv2.imshow('gray', erosion)
cv2.waitKey(0)
| kanishmathew777/image_processing | backend/image_processing_backend/scipy_width_path_finder/image_preprocessing/denosing.py | denosing.py | py | 318 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.erode",
"line_number": 7,... |
8202759653 | import requests
from bs4 import BeautifulSoup as soup
def requesting_ip():
HEADERS = {
'Accept':'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
#'Accept-Encoding':'gzip, deflate, br',
'Accept-Language':'en-US,en;q=0.5',
'Connection':'keep-alive',
'Upgrad... | DemolitionLovers/PythonCode | Requests-DDG.py | Requests-DDG.py | py | 1,134 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 20,
"usage_type": "call"
}
] |
32601137836 | #!/usr/bin/python3
from typing import List
import json
from bplib.butil import TreeNode, arr2TreeNode, btreeconnect
class Solution:
def intersect(self, nums1: List[int], nums2: List[int]) -> List[int]:
st = {}
for n in nums1:
if n not in st:
st[n] = 0
st[n]... | negibokken/sandbox | leetcode/350_intersection_of_two_arrays_II/main.py | main.py | py | 588 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 24,
"usage_type": "call"
}
] |
7807302748 | # importing Numpy package
import numpy as np
# To declare symbol variables x and y
from sympy import symbols
# You can't use numpy arrays for symbolical calculations with sympy. Instead, use a sympy Matrix
# (https://stackoverflow.com/questions/68589864/matrix-determinant-symbolic-in-python)
import sympy as sp... | Sergio-Ibarra-1795/Python-self-1 | Primer_semestre/Mate/Determinant.py | Determinant.py | py | 1,173 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.det",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sympy.symbols",
"l... |
38901553531 | import os
import traceback
from prefect import flow
from conf.config import DATA_DIR, DATASET_EXCEL_LINKS
from src.utils import write_local_to_parquet
from src.flows.pipeline_components import ingest_data_from_list_files, load_csv_dataset, save_dataset_to_csv, upload_to_gcs_bucket, write_data_google_bq
@flow(name="en... | lironesamoun/data-engineering-capstone-project | src/flows/parameterized_flow_http_pipeline.py | parameterized_flow_http_pipeline.py | py | 2,406 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "conf.config.DATASET_EXCEL_LINKS",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "conf.config.DATA_DIR.joinpath",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "conf.config.DATA_DIR",
"line_number": 26,
"usage_type": "name"
},
{
... |
20962583832 | from pyspark.sql import SparkSession
from pyspark.sql import S
Logger.getLogger("org").setLevel(Level.ERROR)
sparkConf = newSparkConf()
sparkConf.set("spark.app.name", "My Application 1")
sparkConf.set("spark.master", "local[2]")
spark = SparkSession.builder()\
.config(sparkConf)\
.getOrCreate()
DDLString =... | Nishant-001/BigData_PySpark | week11assignment.py | week11assignment.py | py | 750 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 9,
"usage_type": "name"
}
] |
26021338569 | from django.conf.urls.defaults import *
from django.conf import settings
from django.contrib import admin
from seishinkan.website.feeds import NewsFeed, TerminFeed
admin.autodiscover()
feeds = {
'termine': TerminFeed,
'news': NewsFeed,
}
urlpatterns = patterns('',
(r'^i18n/', include('django.conf.urls.i18n')... | marcusti/seishinkan | urls.py | urls.py | py | 2,423 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "seishinkan.website.feeds.TerminFeed",
"line_number": 9,
"usage_type": "name"
},
... |
24893300426 | # -*- coding: utf-8 -*-
import scrapy
from scrapy import Request
from lxml import etree
from WaiBaoSpider.utils.csvWriter import CSVDumper
from WaiBaoSpider.utils.base import unicode_body, deal_ntr
import os
class LuAnSpider(scrapy.Spider):
name = "luan"
# base_url = "http://www.luan.gov.cn/nocache/supervisio... | jamesfyp/WaiBaoSpider | WaiBaoSpider/spiders/liuan.py | liuan.py | py | 7,327 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "scrapy.Spider",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
11196328840 | import numpy as np
from scipy import interpolate
class SkeletonASCIIPhraser(object):
def __init__(self, export_path):
self.__export_path = export_path
def save(self, beams):
file = open(self.__export_path, 'w')
self.__plot_analytical_skeleton_beams(file, beams)
file... | Foxelmanian/ParametrizationSkeleton | SkeletonASCIIPhraser.py | SkeletonASCIIPhraser.py | py | 11,419 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.sqrt",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 57... |
29640416232 | import datatable as dt
import pytest
import random
import re
from datatable import stype, f
from datatable.internal import frame_integrity_check
from tests import noop, random_string, assert_equals
def test_issue_1912():
# Check that the expression `A==None` works if A is a string column
DT = dt.Frame(A=["dfv... | h2oai/datatable | tests/munging/test-str.py | test-str.py | py | 6,248 | python | en | code | 1,763 | github-code | 1 | [
{
"api_name": "datatable.Frame",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datatable.f.A",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "datatable.f",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pytest.raises",
"l... |
8595088170 | import hashlib
import zlib
from PyQt5 import QtCore, QtGui, QtWidgets
from file_browse import *
data=[
{'Check':'','More':'','Details':'','@timestamp':'2023/03/12 12:00:00','Rule':'Enumeration of users or Groups','Severity':'low','Risk Score':'21','Reason':'process event with process dsmemberutil, parent proce... | marioara-biblioteca/IOC | file_scan.py | file_scan.py | py | 5,566 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QVBoxLayout",
"line_number": 15,
"usage_type": "call"
},
{
"api_name... |
29455061606 | import pygame
import field_and_pointer as fp
import argparser as ap
# Stack, field, pointer and the 2-input operators
stackstack = [[]]
the_field = fp.Field(fp.load_code())
pointer = fp.Pointer((0, 0), (1, 0))
operators = {
"+": lambda x1, x2: stackstack[-1].append(x1 + x2),
"-": lambda x1, x2: stackstack[-1].... | johanasplund/befunge-98 | lib/initialize.py | initialize.py | py | 2,188 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "field_and_pointer.Field",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "field_and_pointer.load_code",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "field_and_pointer.Pointer",
"line_number": 8,
"usage_type": "call"
},
{
"api_na... |
20599371961 | from flask import Flask, request
app = Flask(__name__)
@app.route('/02-server')
def server01_views():
return "This is my first response by Ajax"
@app.route('/03-server')
def server03_views():
uname = request.args['uname']
return "欢迎" + uname
if __name__ == '__main__':
app.run(debug=True)
| demo112/1809 | PythonWeb/Ajax/1809/Day01/1809self/run01.py | run01.py | py | 316 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 13,
"usage_type": "name"
}
] |
32942262031 | import datetime
import json
import os
import random
import string
import sys
import time
import urllib.request
os.system("title WARP-PLUS-CLOUDFLARE By Tran Thai Tuan Anh")
os.system('cls' if os.name == 'nt' else 'clear')
print ("[+] About script: With this script, you can getting unlimited GB on Warp+")
print ("[+] T... | tranthaituananh/mini_projects | buffKey_1111.py | buffKey_1111.py | py | 2,770 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.system",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "string.ascii_letters",
"line_num... |
40938120333 | # This defines the model
import torch.nn as nn
from torchvision import models
import torch.nn as nn
import torch
class MyEnsemble(nn.Module):
def __init__(self, modelA, modelB, input):
super(MyEnsemble, self).__init__()
self.modelA = modelA
self.modelB = modelB
self.fc1 = nn.Li... | agossouema2011/WCEBleedGenChallenge_Colorlab_Team | Classification/model.py | model.py | py | 1,124 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
25449310072 | from django.shortcuts import render
from .models import AreaOfExpertise, Expert
def browser(request):
aoe = AreaOfExpertise.objects.all().order_by('field')
experts = Expert.objects.all()
institutes = set()
for expert in experts:
institutes.add(expert.institute) if expert.institute is not No... | ztimson/OACPL | expert_witnesses/views.py | views.py | py | 1,066 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "models.AreaOfExpertise.objects.all",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "models.AreaOfExpertise.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "models.AreaOfExpertise",
"line_number": 7,
"usage_type": "name"
},... |
14282958757 | import serial
import numpy as np
import matplotlib.pyplot as plt
# シリアルポートの設定（必要に応じて変更）
ser = serial.Serial('/dev/ttyACM0', 115200)
# グラフの初期化
fig, ax = plt.subplots()
x_data, y_data = [], []
line, = ax.plot(x_data, y_data, 'o', markersize=6)
# 3秒間のデータを保持するためのリングバッファ
max_data_points = 300 # 1秒あたり100データ点... | Altairu/raspberrypi | python/PCaruduino2.py | PCaruduino2.py | py | 1,149 | python | ja | code | 0 | github-code | 1 | [
{
"api_name": "serial.Serial",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
22377846455 | from django import http
from django.http.response import Http404, HttpResponseForbidden
from rest_framework import viewsets, mixins, status
from rest_framework.response import Response
from rest_framework.decorators import action, api_view, permission_classes
from django.shortcuts import get_object_or_404
from .model... | insper-education/devlife-support-api | core/views.py | views.py | py | 8,481 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.User.objects.all",
"line_number": 15,
"usage_type": "call"
},
... |
2997714658 | # -*- coding: utf-8 -*-
import requests
import os
# 6000 is a large number to make sure we get all the components of a collection. Please do note that RISE also has a pagination feature,
# which can be implemented by clients if they wish.
per_page = 6000
# getting the list of collections that the user has access to:
... | RISE-MPIWG/hylg | FetchTextFromRISE.py | FetchTextFromRISE.py | py | 2,253 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
25500941930 | from fastapi import HTTPException, status
from odmantic.bson import ObjectId
from typing import List
# Import helpers
from helpers.database import db
# Import Models
from models.currency import Currency
async def currency_exists(cid: ObjectId, loc=None):
if loc is None:
loc = []
loc = ['body'] + loc... | arif-sajal/mondol-int-accounts-backend | validators/form/currencyExists.py | currencyExists.py | py | 1,453 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "odmantic.bson.ObjectId",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "helpers.database.db.find_one",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.currency.Currency",
"line_number": 17,
"usage_type": "argument"
},
{
"... |
43652346391 | from os import name
from django.urls import path
#from .views import HomePageView
from . import views
urlpatterns = [
path('',views.teacher_index,name='teacher'), # Homepag
path('<slug:teacher_id>/<int:choice>/Classes/', views.teacher_home, name="teacher_home"), #Student Batches
path('<slug:classid>/Students... | abidgulshahid/Department-Managment-System | teacher/urls.py | urls.py | py | 1,885 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
35601265161 | from extract_words import extract_words
import gi
gi.require_version('Gtk', '3.0')
gi.require_version('WebKit', '3.0')
from gi.repository import Gtk, Gdk, WebKit
class MainWindow(Gtk.Window):
def __init__(self):
Gtk.Window.__init__(self, title='My Window Title')
self.AUTHEN_CODE = None # authent... | qzhqzh/EnglishReadingCompanion | src-python/GUI.py | GUI.py | py | 10,726 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gi.require_version",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "gi.require_version",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gtk.Window",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "gi.r... |
44587979411 | """Control module for the Vapourtec R4 heater."""
from __future__ import annotations
from collections import namedtuple
from collections.abc import Iterable
import aioserial
import pint
from loguru import logger
from flowchem import ureg
from flowchem.components.device_info import DeviceInfo
from flowchem.components... | cambiegroup/flowchem | src/flowchem/devices/vapourtec/r4_heater.py | r4_heater.py | py | 6,914 | python | en | code | 11 | github-code | 1 | [
{
"api_name": "flowchem.devices.flowchem_device.FlowchemDevice",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "aioserial.PARITY_NONE",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "aioserial.STOPBITS_ONE",
"line_number": 35,
"usage_type": "att... |
40420378554 | from pathlib import Path
import numpy as np
from collections import Counter
from itertools import product
DIRECTIONS = ("up", "down", "left", "right")
ROTATIONS = (0, 90, 180, 270)
def get_tile_borders(tile, dir="all"):
borders = []
border = None
for d in DIRECTIONS:
if dir in [d, "all"]:
... | eirikhoe/advent-of-code | 2020/20/sol.py | sol.py | py | 8,548 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.copy",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "numpy.round",
"line_numbe... |
43767212162 | import re
import datetime
from .dean import Dean
from bs4 import BeautifulSoup
from freeclass.models import Classroom
from course.models import Course
from main import get_now_week
class FreeClassroom:
session = Dean().dean_session
week = get_now_week()
building_dict = {
"1": "思源楼",
"2": "... | jlytwhx/bjtubox_python | utils/freeclass.py | freeclass.py | py | 3,277 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "dean.Dean",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "main.get_now_week",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",... |
21642185259 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import pickle
# In[2]:
train=pd.read_csv('sales_train.csv')
items=pd.read_csv('items.csv')
shops=pd.read_csv('shops.csv')
cats=pd.read_csv('item_categories.csv')
# In[3]:... | rishabhagarwal8979/Predicting-Future-Sales-Web-API | model.py | model.py | py | 7,422 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
5823107738 | from PythonPrograms.Oblig2_A_star.Vertex import Vertex
from PythonPrograms.Oblig2_A_star.Edge import Edge
from PythonPrograms.Oblig2_A_star.Graph import Graph
import pygame as pg
'''
The AStar class inherits the Graph class
'''
class AStar(Graph):
"""
#
# delay: seconds between each iteration when visu... | HalilIbrahimKeser/AStarAndKalmanPython | PythonPrograms/Oblig2_A_star/AStar.py | AStar.py | py | 18,462 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PythonPrograms.Oblig2_A_star.Graph.Graph",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": ... |
9726738798 | from flask import Response, Flask
from time import sleep
import random
import prometheus_client
from prometheus_client import Counter, Histogram
app = Flask('prometheus-app')
REQUESTS = Counter(
'requests', 'Application Request Count',
['endpoint']
)
TIMER = Histogram(
'slow', 'Slow Requests',
['endp... | leonekwolfik/python_devops | python-dla-devops-naucz-sie-bezlitosnie-skutecznej-automatyzacji-noah-gift-kennedy-behrman-alfredo-deza-grig-ghe/src/roz07-Monitoring/web.py | web.py | py | 847 | python | pl | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "prometheus_client.Counter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "prometheus_client.Histogram",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask... |
28013600994 | import citations as cit
import json
from flask import Flask, request
from flask_cors import CORS
app = Flask(__name__)
cors = CORS(app, resources={r"/api/*": {"origins": "*"}})
years = [ 2015, 2016, 2017, 2018, 2019 ]
class_names = [
"-",
"A",
"B",
"C",
"D",
"E",
]
sectors = [
"MAT01",
... | robol/citation-count | citationserver.py | citationserver.py | py | 2,855 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "citations.get_journals_classification",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "json.... |
16196933934 | import time
import random
import zmq
context = zmq.Context()
zmq_socket = context.socket(zmq.PUSH)
zmq_socket.connect("tcp://127.0.0.1:5557")
# Start your result manager and workers before you start your producers
consumer_id = random.randrange(1,10005)
print("I am consumer #%s" % (consumer_id))
for num in range(200... | telminov/my_notes_for_various-_programlanguages | python/сокеты/ZMQ с очередями/Zmq/messaging_pattern/3.5/push_pull_(many_pushed)/push_.py | push_.py | py | 423 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "zmq.Context",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "zmq.PUSH",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "random.randrange",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_numbe... |
2759222029 | # -*- coding: utf-8 -*-
#-------------------------------------------------------------------------------
# Author: chenhao
# Date: 2020-09-13
# Description:
#-------------------------------------------------------------------------------
import torch
import torch.nn as nn
from torch.nn import functional as F
clas... | chenhaoenen/FCTest | nlp/ChnSentiCorp_htl_all/src/model/textcnn.py | textcnn.py | py | 2,010 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
17885667606 | import pytest
from sqlalchemy import create_engine
from sqlalchemy.orm import Session, sessionmaker
import pdb
from src import config
from src.domain import model
from src.services_layer import unit_of_work
from src.adapters import repository
@pytest.fixture
def tear_down():
session_factory = postgres_db_session... | yellowBunnyy/audio_teka | tests/test_uow.py | test_uow.py | py | 2,066 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pytest.fixture",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "src.domain.model.Title",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "src.domain.model",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "src.... |
22418570468 | #!/usr/bin/env python3
import argparse
import requests
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--url", type=str, default="http://0.0.0.0:8000/model")
parser.add_argument("--host", type=str)
parser.add_argument("--port", type=str)
parser.add_argument("-n", "--name... | ktro2828/DenseMatching-API | example/load_model.py | load_model.py | py | 1,046 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 26,
"usage_type": "call"
}
] |
27537495283 | import torch
import torch.nn as nn
import torch.nn.functional as F
class CNN(nn.Module):
def __init__(self, args, data, vectors):
super(CNN, self).__init__()
self.args = args
self.word_emb = nn.Embedding(args.embed_num, args.embed_dim, padding_idx=1)
# initialize word embedding with pretrained word2vec
... | UVa-NLP/HEDGE | cnn/cnn_model.py | cnn_model.py | py | 1,848 | python | en | code | 30 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
75168964833 | """This module includes dependencies."""
from fastapi import Header, status, HTTPException
from settings import INTERNAL_CONFIGS
def verify_api_key(
x_auth: str = Header(description="API key"),
x_from_name: str = Header(description="Name of services from where request is came"),
):
"""Check if user is l... | Monoboard/monoboard.api.auth | src/dependencies.py | dependencies.py | py | 707 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "fastapi.Header",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "fastapi.Header",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "settings.INTERNAL_CONFIGS.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "settings.I... |
30262906364 | import time
from logging import getLogger
from typing import Any, Dict, Optional, Tuple
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from sklearn.metrics import confusion_matrix, f1_score
from torch.utils.data import DataLoader
from .meter import AverageMeter, ProgressMeter
from .... | yiskw713/pytorch_template | src/libs/helper.py | helper.py | py | 4,370 | python | en | code | 22 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_... |
16662772162 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
import pandas as pd
# In[3]:
df=pd.read_csv(r'C:\Users\msid4\OneDrive\Desktop\cc\music.tsv',sep='\t',encoding='utf-8',error_bad_lines=False)
# In[3]:
df.head()
# In[90]:
df.shape
# In[4]:
import findspark
# In[5]:
findspark.init('C:\spark')
# In[6]... | msid4459/Cloud-Computing-Spark_ML_MapReduce-project | stage2.py | stage2.py | py | 2,337 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "findspark.init",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkConf",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext... |
33082316879 | import re
from googletrans import Translator
# Dòng chứa thông tin sinh viên
student_info = "Full name: BUI HUY HOANG\nDoB\n11/12/2003\nGender: Male\nIntake\n2021-2024\nCourse: Bachelor\nMajor\nInformation and Communication Technology\nBI12-170\nValidity: 30/10/2024"
# Tìm và ghép các phần của đối tượng lại với nhau... | Huyen165/ML2 | Src/Identify_info.py | Identify_info.py | py | 1,705 | python | vi | code | 0 | github-code | 1 | [
{
"api_name": "re.search",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 12,
"... |
2715638565 | import os,glob
from Bio import SeqIO
import statistics
import numpy as np
from Bio.Seq import Seq
import re
vcf_folder = '/scratch/users/anniz44/genomes/donor_species/vcf_round2/merge/details/'
output_folder = '/scratch/users/anniz44/genomes/donor_species/vcf_round2/BS/'
target_TF = '%s/target.TF.faa'%(output_folder)
... | caozhichongchong/snp_finder | snp_finder/scripts/compareBS_coassembly.py | compareBS_coassembly.py | py | 28,977 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "Bio.SeqIO.parse",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "Bio.SeqIO.parse",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_numbe... |
35872126644 | """\
Reference Directive for L.E.A.R.N
=================================
Author: Akshay Mestry <xa@mes3.dev>
Created on: Friday, July 28 2023
Last updated on: Monday, July 31 2023
This module provides a custom directive for L.E.A.R.N's custom theme,
that allows authors and contributors to add a dedicated references
s... | xames3/learn | docs/source/_extensions/sphinx/ext/learn/references.py | references.py | py | 5,586 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "typing.Final",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "jinja2.Template",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "docutils.nodes.Element",
"line_number": 99,
"usage_type": "name"
},
{
"api_name": "docutil... |
11742668018 | import eval7
from tqdm import tqdm
import traceback
import sys
from pprint import pprint
sys.path.insert(0, "../")
sys.path.insert(0, "../.libs")
from pokereval import PokerEval
pokereval = PokerEval()
from pprint import pprint
import numpy as np
import operator
from tqdm import tqdm
import datetime
import re
rank = ... | jinyiabc/holdem_board_analyzer | hr/fictious_raise.py | fictious_raise.py | py | 7,896 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.path.insert",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
19118236265 | import pandas as pd
import matplotlib.pyplot as plt
# Load the CSV data into a DataFrame
df = pd.read_csv("suicide_reates.csv")
# Menu for user's choice
print("Select a graph to display:")
print("1. Bar Graph")
print("2. Histogram")
print("3. Scatter Plot")
print("4. Line Graph") # Add Line Graph option
choice = in... | praveenkumar-byte/ml | visualize.py | visualize.py | py | 1,709 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
42895748829 | import torch
import pandas as pd
import numpy as np
from tqdm.notebook import tqdm
from joblib import Parallel, delayed #conda install -c anaconda joblib
class DatasetHandler:
def __init__(self, dataframes, config_dict):
"""
cols_input, cols_target, dataframes_descriptions,
keep_na=Fa... | DoriNiss/dust_prediction_using_deep_learning | packages/data_handlers/DatasetHandler.py | DatasetHandler.py | py | 12,765 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.date_range",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.isnan",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "numpy.expand_dims",
... |
7900094304 |
from django.urls import path
from . import views
urlpatterns = [
path("", views.index, name="index"),
path("login", views.login_view, name="login"),
path("logout", views.logout_view, name="logout"),
path("register", views.register, name="register"),
path("allPosts",views.allPosts,name="allPosts")... | keshavanand/Network | network/urls.py | urls.py | py | 702 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
29640359742 | import math
import pytest
from datatable import f, dt, update
from tests import assert_equals
stypes_int = dt.ltype.int.stypes
stypes_float = dt.ltype.real.stypes
stypes_str = dt.ltype.str.stypes
stypes_all = [dt.bool8, dt.obj64] + stypes_int + stypes_float + stypes_str
#--------------------------------------------... | h2oai/datatable | tests/ijby/test-assign-scalar.py | test-assign-scalar.py | py | 9,236 | python | en | code | 1,763 | github-code | 1 | [
{
"api_name": "datatable.dt.ltype",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "datatable.dt",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "datatable.dt.ltype",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "datatable.d... |
27666235820 | # -*- coding: utf-8 -*-
import logging
from .utils import parse_date
from .config import Config
import xmltodict
logger = logging.getLogger()
class XMLParser(object):
def __init__(self, xml, config=None):
self.xml = xml
self.errors = None
if config is None:
config = Config()... | Japle/python-pagseguro | pagseguro/parsers.py | parsers.py | py | 6,801 | python | en | code | 173 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.Config",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "xmltodict.parse",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "utils.parse_date",
... |
74356016992 | # importint the necessary lirbraries
# import tensorflow.keras as kerasfrom __future__ import print_function
from __future__ import print_function
import keras
from keras.layers import Convolution2D
from keras.layers import Flatten
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers impo... | Tobenna-KA/mimeai-api | api/src/capsule_net.py | capsule_net.py | py | 15,008 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "keras.layers.Layer",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "keras.layers",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "keras.backend.sqrt",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "keras.backend... |
71632700195 | import logging
logging.basicConfig()
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def do_add_remove_maglev(test, table, add, remove, exp_table, exp_prev_ele_map):
logger.info("===Add/Remove Maglev test===")
if add:
logger.info("Adding {} to the table.".format(add))
table.add(add... | futurewei-cloud/zeta | test/helper.py | helper.py | py | 803 | python | en | code | 16 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 5,
"usage_type": "attribute"
}
] |
19986667975 | import numpy as np
import pandas as pd
import sqlite3
from FoodTables.FoundationTable import FoundationTable
from FoodTables.MarketTable import MarketTable
VOLUME_CONVERSIONS_TABLE = "volume_conversions"
MASS_CONVERSIONS_TABLE = "mass_conversions"
FOOD_TABLE = "food"
con = sqlite3.connect("data.sqlite")
def reset_... | danzou56/food-data | make_db.py | make_db.py | py | 1,128 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sqlite3.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pandas.concat",
... |
35010952644 | # 스포츠 기사 크롤링
import requests
from bs4 import BeautifulSoup as bs
from apps.resources.models import Article
def crawling_entertain_news():
entertain_url = "https://entertain.naver.com"
entertain_url_home = entertain_url + "/home"
response = requests.get(entertain_url_home)
soup = bs(response.text, ... | Billionaire-Project/four_hours_service | scheduler/news_crawling_entertain.py | news_crawling_entertain.py | py | 1,835 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
26218292301 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0019_auto_20150121_1722'),
]
operations = [
migrations.AlterField(
model_name='contestentry',
... | mikeparisstuff/nostrajamus | api/migrations/0020_auto_20150122_0435.py | 0020_auto_20150122_0435.py | py | 474 | python | en | code | 1 | 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.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
32746010298 | import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
class clusteredData():
def __init__(self,dataSet)-> None:
self.__dataSet = dataSet
self.__centriods,self.__belongsTo = elbowMethod(dataSet,8)
#self.__centriods,self.__belongsTo = kmeans(3,dataSet)
#self.plot()
... | danieljimenez1337/tlds-parser | kmeans_util.py | kmeans_util.py | py | 4,685 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "m... |
30289814434 | import logging
from google.cloud import secretmanager
from google.cloud import pubsub
# format logs
formatter = '%(asctime)s - %(levelname)s - %(message)s'
logging.basicConfig(format=formatter, level=logging.DEBUG)
logging.basicConfig()
logger = logging.getLogger(__name__)
# get secrets
secrets = secretmanager.Secret... | codefordemocracy/data | federal/fec/functions/federal_fec_ingest_queue_import/main.py | main.py | py | 1,606 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLo... |
26385311712 |
import numpy as np
# from sklearn.metrics import accuracy_score
from sortedcontainers import SortedList
import math
import matplotlib.pyplot as plt
class ml_model(object):
"""
Parameters
------------
method : str
which ML lib
learning_rate : float (default: 0.01)
Learning rate (be... | u8913557/myDataScience | Model/ml_model.py | ml_model.py | py | 21,075 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.copy",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.copy",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.copy",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.random.randn",
"line_numbe... |
41304347612 | import torch
print(torch.__version__)
torch.get_default_dtype()
torch.get_num_threads()
torch.set_default_dtype(torch.float64)
torch.get_default_dtype()
tensor_arr = torch.Tensor([[1, 2, 3], [4, 5, 6]])
torch.is_tensor(tensor_arr)
torch.numel(tensor_arr) #Gives the number of elements in the tensor
tensor_unin... | subhankar453/ExploringPyTorch | models/ExploringPyTorch.py | ExploringPyTorch.py | py | 3,807 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.__version__",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "torch.get_default_dtype",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "torch.get_num_threads",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tor... |
24925249732 | # -*- coding: utf-8 -*-
import json
import os
from locale import getdefaultlocale
from .internationalization import SUPPORTED_LANGUAGES
_lang = getdefaultlocale()[0]
for _supported_lang in SUPPORTED_LANGUAGES.keys():
if _lang in _supported_lang or _supported_lang in _lang:
_lang = _supported_lang
... | Sa-RSt/WordByWord | wordbyword/settings.py | settings.py | py | 1,265 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "locale.getdefaultlocale",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "internationalization.SUPPORTED_LANGUAGES.keys",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "internationalization.SUPPORTED_LANGUAGES",
"line_number": 10,
"usage... |
24000459929 | from django import forms
from .models import Booking
from django.core.exceptions import ValidationError
class BookingForm(forms.ModelForm):
"""Form for the booking model."""
class Meta:
model = Booking
fields = (
'first_name',
'last_name',
'phone_number',
... | rocrill/velo_city | bookservice/forms.py | forms.py | py | 613 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.Booking",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.Dat... |
18204569793 | from requests.exceptions import ReadTimeout
from django.http import JsonResponse
from ..keycloak_services import check_ldap_connection
from ..keycloak_services import check_ldap_authentication
from ..keycloak_services import request_access_token
def process_request(request, parameter_keys, kc_call):
token = req... | os2datascanner/os2datascanner | src/os2datascanner/projects/admin/import_services/views/keycloak_api_views.py | keycloak_api_views.py | py | 1,718 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "keycloak_services.request_access_token",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.exceptions.ReadTimeout",
"line_number": 36,
"usage_type": "name"... |
19229736770 | import ddt
import unittest,requests
@ddt.ddt
class TestLogin(unittest.TestCase):
@ddt.file_data(r'E:\login.yml')
@ddt.unpack
def test_run(self,**kwargs):
method = kwargs.get('method')
url = kwargs.get('url')
data = kwargs.get('data',{})
header = kwargs.get('header',{})
is_json = kwargs.get('is_json',0)
c... | hedyxy/APIauto | cases/TestLogin.py | TestLogin.py | py | 683 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "unittest.TestCase",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
10841797597 | import logging
from . import BinanceBrokers
from .requests import unauthorizrd_request
from core.config import (
BINANCE_SPOT_KLINES_URL,
BINANCE_UM_KLINES_URL,
BINANCE_CM_KLINES_URL,
BINANCE_SPOT_MARKET_INFO_URL,
BINANCE_UM_MARKET_INFO_URL,
BINANCE_CM_MARKET_INFO_URL,
)
async def get_kline... | Hudrolax/invest_tools | app/brokers/binance/market_data.py | market_data.py | py | 1,915 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "core.config.BINANCE_SPOT_KLINES_URL",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "core.config.BINANCE_UM_KLINES_URL",
"line_number": 45,
"usage_type": "name"
},
... |
70205744354 | '''
텔레포트 3
시간 제한 메모리 제한 제출 정답 맞은 사람 정답 비율
2 초 512 MB 303 122 101 43.348%
문제
수빈이는 크기가 무한대인 격자판 위에 살고 있다. 격자판의 각 점은 두 정수의 쌍 (x, y)로 나타낼 수 있다.
제일 처음에 수빈이의 위치는 (xs, ys)이고, 집이 위치한 (xe, ye)로 이동하려고 한다.
수빈이는 두 가지 방법으로 이동할 수 있다. 첫 번째 방법은 점프를 하는 것이다. 예를 들어 (x, y)에 있는 경우에 (x+1, y), (x-1, y), (x, y+1), (x, y-1)로 이동할 수 있다. 점프는 1초... | hanseul-jeong/Coding_test | Backjoon/단계별로풀어보기/12908.py | 12908.py | py | 3,661 | python | ko | code | 0 | github-code | 1 | [
{
"api_name": "sys.stdin.readline",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
... |
30058213410 | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 04 10:04:46 2016
@author: nfette
A single effect LiBr absorption chiller model.
"""
import numpy as np
import tabulate
from scipy.optimize import fsolve
from scipy.interpolate import PchipInterpolator
from collections import namedtuple
import CoolProp.CoolProp as CP
from... | nfette/openACHP | src/libr3.py | libr3.py | py | 36,513 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "CoolProp.CoolProp.AbstractState",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "CoolProp.CoolProp",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "numpy.dtype",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.z... |
16671735068 | #!/usr/local/bin/python3
# -*- coding: utf-8 -*-
# @Time : 2018/7/10 PM4:59
# @Author : L
# @Email : L862608263@163.com
# @File : google.py
# @Software: PyCharm
import json
import urllib
import urllib.request
import urllib.parse
import re
def url_open(url, data=None):
request = urllib.request.Request(ur... | SnowStorm-L/WebCrawler | Code/google/google_translate.py | google_translate.py | py | 5,312 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "urllib.request.Request",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "url... |
33970522684 | import logging
from typing import Any, Callable, Dict, Iterable, Iterator, Optional, Tuple, Union
from swh.core.db import BaseDb
from swh.model.model import (
BaseModel,
Directory,
DirectoryEntry,
ExtID,
RawExtrinsicMetadata,
Release,
Revision,
Snapshot,
SnapshotBranch,
TargetTy... | SoftwareHeritage/swh-storage | swh/storage/backfill.py | backfill.py | py | 20,163 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "swh.core.db.BaseDb",
"line_number": 172,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 172,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"... |
36690171785 | from collections import deque
import heapq
class TreeNode(object):
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution(object):
def verticalTraversal(self, root):
"""
:type root: TreeNode
:r... | lingerxu/leetcode-solutions | heapq.py | heapq.py | py | 1,648 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 35,
"usage_type": "call"
}
] |
72537368994 | from rest_framework import serializers
from .models import Departman,Personel
from django.utils.timezone import now
class DepartmanSerializer(serializers.ModelSerializer):
count = serializers.SerializerMethodField()
class Meta:
model = Departman
fields = (
'id',
... | dedeogluie/Personel_APP | personelApp/serializers.py | serializers.py | py | 1,076 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.SerializerMethodField",
"line_number": ... |
36367686593 | # -*- coding: utf-8 -*-
import numpy as np
import os
import h5py
import logging
from data_exchange import DataExchangeFile, DataExchangeEntry
class Export():
def __init__(xtomo, data=None, data_white=None,
data_dark=None, theta=None,
hdf5_file_name=None, data_exchange_type=None,... | decarlof/syncpy | syncpy/dataexchange/xtomo/xtomo_exporter.py | xtomo_exporter.py | py | 14,858 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.abspath",
"line_number": 114,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 114,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 115,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
5973276889 | import os
import logging
import gzip
from psycopg2 import sql
from django.core.management.base import BaseCommand
from django.db import connection
from oac_search import models, pubmed
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
class Command(BaseCommand):
help ... | vpodpecan/pmcutils | oac_search/management/commands/search_export_fulltext.py | search_export_fulltext.py | py | 2,276 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 15,
"usage_type": "name"
},
{
"api... |
25917719676 | import csv
import io
import json
import os.path
import pickle
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
# If modifying these scopes, delete the file token.pickle.
SC... | jchorl/auditor-functions | sheets/main.py | main.py | py | 3,949 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.getenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16... |
38219482418 | from pynput import keyboard
from score_following_game.agents.optimal_agent import OptimalAgent
human_action = 1
def on_press(key):
global human_action
if key == keyboard.Key.left:
human_action = 0
if key == keyboard.Key.right:
human_action = 2
class HumanAgent(OptimalAgent):
def _... | CPJKU/score_following_game | score_following_game/agents/human_agent.py | human_agent.py | py | 603 | python | en | code | 47 | github-code | 1 | [
{
"api_name": "pynput.keyboard.Key",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pynput.keyboard",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pynput.keyboard.Key",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pynpu... |
21094423421 | import random
from datetime import datetime
import pytest
from june import paths
from june.activity import activity_hierarchy
from june.epidemiology.epidemiology import Epidemiology
from june.epidemiology.infection import Immunity, InfectionSelector, InfectionSelectors
from june.groups.leisure import leisure
from june... | UNGlobalPulse/UNGP-settlement-modelling | test_camps/test_simulator.py | test_simulator.py | py | 6,046 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "camps.paths.camp_configs_path",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "camps.paths.camp_configs_path",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "random.sample",
"line_number": 33,
"usage_type": "call"
},
{
"api_nam... |
8913177888 | from django.urls import path
from .views import cart_detail,cart_add,cart_remove
app_name='shopping'
urlpatterns = [
path('<int:cart_id>/',cart_detail,name='cart_detail'),
path('add/<int:product_id>/', cart_add, name='cart_add'),
path('remove/<int:product_id>/', cart_remove, name='cart_remove'),
]
| UhuruV/group2_greenskiosk | greenskiosk/shopping/urls.py | urls.py | py | 314 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.cart_detail",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.cart_add",... |
13799406873 | import argparse
import trimesh
import numpy as np
import json
from math import *
import math
import requests
import geopandas as gpd
from shapely import Polygon
#TODO args better
ap = argparse.ArgumentParser()
ap.add_argument("--method", help="method of gps", type=str)
ap.add_argument("--GPSFile", help="GPSFile", type... | Just-Kiel/MeshroomGeoNode | scripts/OSMBuildings.py | OSMBuildings.py | py | 4,129 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "math.asinh",
"line... |
2548449685 | """Finetune 3D CNN."""
import os
import argparse
import itertools
import time
import math
import random
import builtins
import warnings
import string
import numpy as np
import pandas as pd
from PIL import ImageFilter
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import... | guoshengcv/CACL | train_finetune.py | train_finetune.py | py | 23,057 | python | en | code | 22 | github-code | 1 | [
{
"api_name": "random.uniform",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFilter.GaussianBlur",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFilter",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "math.cos"... |
8118820886 | #
# Initiation à Pygame - Épisode 25 - Changer la vitesse de déplacement
#
# https://kreatuto.info
#
import pygame
# Couleur du fond de la fenête
COULEUR_FOND = (255, 255, 255)
# Couleur de la zone de commande
COULEUR_FOND_CMD = (211, 211, 211) # GRIS_CLAIR
# Couleur d'affichage du texte dans la zone de commande
C... | fred-lefevre/pygame | pygame-episode-25/changer-vitesse.py | changer-vitesse.py | py | 4,932 | python | fr | code | 1 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.font.Font",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Clock",
... |
8703812591 | from __future__ import annotations
import re
import xml.etree.ElementTree as ET
from datetime import datetime
from operator import itemgetter
from typing import TYPE_CHECKING
from urllib.parse import urlparse
import ds_caselaw_utils as caselawutils
from caselawclient.Client import (
DEFAULT_USER_AGENT,
Marklo... | nationalarchives/ds-caselaw-editor-ui | judgments/utils/__init__.py | __init__.py | py | 6,412 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "caselawclient.Client.MarklogicApiClient",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.MARKLOGIC_HOST",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 24,
"usage_type": ... |
72594416674 | import torch
import torch.nn as nn
class UNet(nn.Module):
"""
add zero padding
"""
def __init__(self, num_classes=12):
super(UNet, self).__init__()
self.enc1_1 = self.CBR2d(in_channels=3, out_channels=64, kernel_size=3, stride=1, padding=1, bias=True)
self.enc1_2 = self.CBR2d(in_... | bcaitech1/p3-ims-obd-doggum | sooho_seg/models/UNet.py | UNet.py | py | 5,802 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "torch.nn.MaxPool2d",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
42577664395 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 5 17:57 2021
@author: Pedro Vieira
@description: Implements the test function for the DFFN network published in https://github.com/weiweisong415/Demo_DFFN_for_TGRS2018
"""
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
i... | abandonsea/DFFN | test.py | test.py | py | 5,216 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "torch.device",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "utils.config.DFF... |
31772141626 | # coding=utf-8
import json
import telegram
import logging
from telegram.error import NetworkError, Unauthorized
from time import sleep
TOKEN = '206483377:AAHnQ_ohMuvDhI5mfbDMrHKTnTGIi7YhT6A' # Ponemos nuestro Token generado con el @BotFather
#bot.setWebhook('https://api.tekegram.org/bot/'+TOKEN+'/')
def main():
... | LucasHG94/VallaBot | vallaBotOld.py | vallaBotOld.py | py | 1,480 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "telegram.Bot",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 29,
"usage_type": "call"
}
] |
29644079936 | from django import forms
from django.contrib import admin
from django.db import models
from indexpage.models import Section, SubSection
class SectionAdmin(admin.ModelAdmin):
formfield_overrides = {
models.TextField: {"widget": forms.Textarea(attrs={"class": "ckeditor"})},
}
class Media:
... | Ernir/old.ernir.net | indexpage/admin.py | admin.py | py | 801 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.TextField",
"line_number": 10,
"usage_type": "attribute"
},
... |
5746620273 | import cv2
cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH,640)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT,480)
cap1 = cv2.VideoCapture(1)
cap1.set(cv2.CAP_PROP_FRAME_WIDTH,640)
cap1.set(cv2.CAP_PROP_FRAME_HEIGHT,480)
while(True):
ret,frame = cap.read()
ret2,frame2 = cap1.read()
if ret2:... | chuchanhee/2022ESWContest_free_1009 | Monitoring_robot.py | Monitoring_robot.py | py | 581 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FRAME_WIDTH",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_PROP_FRAME_HEIGHT",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_na... |
69850112355 | #! /usr/bin/env python3
########################################################################################
#
# Script for generating a vocabulary file (character-based) on the transcriptions found
# in one or more shard folders.
#
# Author(s): Nik Vaessen
##########################################################... | Loes5307/VocalAdversary2022 | data_utility-main/data_utility/scripts/generate_character_vocabulary.py | generate_character_vocabulary.py | py | 2,331 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "data_utility.pipe.containers.WavAudioDataSample",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "data_utility.pipe.containers.WavAudioDataSample",
"line_number": 34,
"usage_type": "argument"
},
{
"api_name": "typing.Tuple",
"line_number": 60,
"us... |
32017784263 | """Master Section for the Video Converter controller"""
import threading
import pexpect
from config import CONFIG
class VideoConverterBase:
"""Master Section for the Video Converter controller"""
def __init__(self, pool_sema: threading.BoundedSemaphore, db_id: int):
self.__thread = threading.Thread... | GaryTheBrown/Tackem | ripper/video_converter/base.py | base.py | py | 3,543 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "threading.BoundedSemaphore",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "config.CONFIG",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "thread... |
14719935805 | import numpy as np
import matplotlib.pyplot as plt
import scipy.signal as sig
#Opening file containing experiment data
fin = open('/Users/ammaagyei/mu_code/Experiment1.txt')
mytxt = fin.read()
print(mytxt)
#Splitting data on file into acceleration list, angular position list and time list
t = []
acc = []
ang = []
i ... | ES2Spring2019-ComputinginEngineering/project-one-t2 | ParsingData_Graphing_and_CalcuatingPeriod.py | ParsingData_Graphing_and_CalcuatingPeriod.py | py | 1,956 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "... |
29443739493 | ############################################################################################
#
# Cálculo do desvio padrão para as idades dos personagens dos Simpsons
#
# Cálculo do desvio padrão populacional e amostral para as idades dos personagens dos Simpsons:
# As regras básicas para os cálculos de desvios padrã... | Grinduim/Bosch-2022.2 | Bosch/InnoHub/Treinamento de IA/materiais/Exemplos_1/SIMPSONS_EXAMPLE/SIMPSONS_STANDARD_DEVIATION.py | SIMPSONS_STANDARD_DEVIATION.py | py | 2,853 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "numpy.std",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "statistics.pstdev",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "statistics.stdev",
"line_nu... |
3978585491 | from google.appengine.dist import use_library
use_library('django', '1.1')
from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
import helpers
import models
import settings
import appengine_utilities.sessions
import oauth
import logging
class MainHandler(webapp.RequestHandler):
d... | bruntonspall/sessionpicker | main.py | main.py | py | 3,721 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "google.appengine.dist.use_library",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "google.appengine.ext.webapp.RequestHandler",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.ext.webapp",
"line_number": 15,
"usage_... |
18468768051 | import numpy as np
import matplotlib.pyplot as plt
import sklearn
import sklearn.datasets
from init_utils import sigmoid, relu, compute_loss, forward_propagation, backward_propagation
from init_utils import update_parameters, predict, load_dataset, plot_decision_boundary, predict_dec
import numpy as np
import matplot... | sum-coderepo/Optimization-Python | NeuralNetwork/Weight_Initialization.py | Weight_Initialization.py | py | 14,724 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "numpy.exp",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.maximum",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "init_utils.relu",
"line_number"... |
3018338966 | from setuptools import setup
install_requires=[
'cython >= 0.13',
'jinja2 >= 2.5',
'argparse',
]
setup(name='protocyt',
version='0.1.5',
description="Fast python port of protobuf",
long_description="Compiles protobuf files into python extension modules using cython",
classifiers=[
... | Evgenus/protocyt | setup.py | setup.py | py | 1,136 | python | en | code | 24 | github-code | 1 | [
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
}
] |
10086144499 | import pytest
import mongomock
import pymongo
from dotenv.main import find_dotenv, load_dotenv
from todo_app.app import create_app
@pytest.fixture
def client():
file_path = find_dotenv('.env.test')
load_dotenv(file_path, override=True, verbose=True)
with mongomock.patch(servers=(('fakemongo.com', 27017),)... | lawli01/DevOps-Course-Starter | tests/integration/test_app.py | test_app.py | py | 1,071 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dotenv.main.find_dotenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dotenv.main.load_dotenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mongomock.patch",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "todo_a... |
36634644803 | # -*- coding: utf-8 -*-
import scrapy
from quotetutorial.items import QuoteItem
class QuotesSpider(scrapy.Spider):
name = "quotes" #指定spider的名称
allowed_domains = ["quotes.toscrape.com"]
start_urls = ['http://quotes.toscrape.com/']
def parse(self, response):
quotes = response.css('.quote')
... | Sylor-huang/quotetutorial | quotetutorial/spiders/quotes.py | quotes.py | py | 1,268 | python | zh | code | 0 | github-code | 1 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "quotetutorial.items.QuoteItem",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 27,
"usage_type": "call"
}
] |
8283102056 |
import GetOldTweets3 as got
import time
import datetime
def got_func(search_word, search_lang,time_start, time_end):
tweetcriteria = got.manager.TweetCriteria().setQuerySearch(search_word).setSince(time_start).setUntil(time_end).setLang(search_lang).setTopTweets(True).setMaxTweets(10)
tweet = got.manag... | Swarnalathaa/Twitter | twitter_got.py | twitter_got.py | py | 1,883 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "GetOldTweets3.manager.TweetCriteria",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "GetOldTweets3.manager",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "GetOldTweets3.manager.TweetManager.getTweets",
"line_number": 8,
"usage_type... |
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