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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
74930752674 | import random
from sys import modules
from typing import Union
import discord
from redbot.core import commands
from leveler.abc import MixinMeta
from .basecmd import LevelSetBaseCMD
class Profile(MixinMeta):
"""Profile commands"""
lvlset = getattr(LevelSetBaseCMD, "lvlset")
@lvlset.group(name="profil... | fixator10/Fixator10-Cogs | leveler/commands/lvlset/profile.py | profile.py | py | 8,270 | python | en | code | 68 | github-code | 1 | [
{
"api_name": "leveler.abc.MixinMeta",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "basecmd.LevelSetBaseCMD",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "typing.Union",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "discor... |
24676602198 | from azure.storage.blob import BlockBlobService
from azure.storage.blob import ContentSettings
from azure.storage.blob import PublicAccess
import csv
import random
import time
import datetime
import os
path = '/Users/boxunng/Desktop/ClickStream/sample_data'
os.chdir(path)
# Blob 相關
mystoragename = "demousestorageaccou... | HaydenNBX/AzureProject | ClickStream/create_data_upload_blob001.py | create_data_upload_blob001.py | py | 1,887 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.chdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "azure.storage.blob.BlockBlobService",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.date... |
43177819716 | from http import HTTPStatus
import allure
import pytest
from base.api.base import BaseAPI
from base.api.users.resource_libraries.resource_libraries import get_resource_library, get_resource_libraries, \
create_resource_library, update_resource_library, delete_resource_library
from base.api.users.resource_librarie... | Nikita-Filonov/demo_auto_tests | tests/api/users/permissions/scopes/test_scopes_for_resource_libraries.py | test_scopes_for_resource_libraries.py | py | 3,026 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "base.api.base.BaseAPI",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "utils.api.users.permissions.EXCLUDE_PERMISSIONS_ENDPOINTS",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "utils.utils.cache_callable",
"line_number": 36,
"usage_ty... |
10671630888 | # -*- coding: utf-8 -*-
# Author: trummerjo
# Module: MSLHttpRequestHandler
# Created on: 26.01.2017
# License: MIT https://goo.gl/5bMj3H
"""Handles & translates requests from Inputstream to Netflix"""
from __future__ import absolute_import, division, unicode_literals
import traceback
import base64
import BaseHTTPServ... | Toysoft/plugin.video.netflix | resources/lib/services/msl/http_server.py | http_server.py | py | 2,507 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "BaseHTTPServer.BaseHTTPRequestHandler",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "base64.standard_b64decode",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "base64.standard_b64decode",
"line_number": 37,
"usage_type": "call"
... |
4025684782 | import pyotp
import re
import time
import os
from kaushaltools.qrmanager import qrmanager
class totp:
"""
A class for generating and managing Time-Based One-Time Passwords (TOTP).
This class provides methods to generate TOTP keys, generate OTPs, create 2FA URLs, show and save QR codes, scan QR codes, and ... | KaushalBhatol/kaushaltools | kaushaltools/totp.py | totp.py | py | 7,799 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pyotp.random_base32",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "pyotp.TOTP",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 103... |
34470440270 | # 내가 정의할 것
# 주사위 정보 => 위치, 위 앞 옆, 방향
# 점수 => 숫자 * 개수
# 위치 => 처음엔 0, 0 / 오른쪽으로 움직임
# 회전 => 주사위 아랫면이 보드 해당칸에 있는 숫자보다 크면 현재 진행방향에서 90도 시계방향 회전
# 주사위 아랫면이 더 작으면 반시계 90도 회전
# 동일하면 현재 방향
from collections import deque
n, m = map(int, input().split())
grid = [list(map(int, input().split())) for _ in range(n)]
... | yeafla530/algorithms | 코드트리/삼성코데_2023/2021_상반기_정육면체한번더굴리기.py | 2021_상반기_정육면체한번더굴리기.py | py | 2,898 | python | ko | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 77,
"usage_type": "call"
}
] |
23204502387 | import torch
import dgl
import numpy as np
from loading_data import loading_feature
from dgl.nn.pytorch import pairwise_squared_distance
from typing import List, Tuple
import math
"""
输入：左/右脑特征矩阵
输出：每个脑区一个链接矩阵
特征按照脑区分类、计算相似性、kNN建图
采集每个vertex所属脑区，构建相关性矩阵
有几个脑区没有，有些脑区数据点很多，考虑随机采样，有些脑区很少，考虑不要了？
DGL有计算相关性的公式：无
"""
def ... | taotianli/gin_model.py | examples/pytorch/PETMR/local_graph_construction.py | local_graph_construction.py | py | 4,951 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "torch.from_numpy",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
41034182924 | from __future__ import annotations
import abc
import functools
from typing import Any
from typing import AsyncGenerator
from typing import AsyncIterator
from typing import Awaitable
from typing import Callable
from typing import ClassVar
from typing import Dict
from typing import Generator
from typing import Generic
f... | sqlalchemy/sqlalchemy | lib/sqlalchemy/ext/asyncio/base.py | base.py | py | 8,718 | python | en | code | 8,024 | github-code | 1 | [
{
"api_name": "typing.TypeVar",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "typing.Any",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "typing.Any",
"line_numbe... |
12852099257 |
from flask import Blueprint, jsonify
from flask_apispec import doc, use_kwargs
from flask_jwt_extended import jwt_required, current_user
from webargs import fields
from ..import models, errors
app = Blueprint('post', __name__)
@doc(security=[{'bearer': []}], tags=['posts'])
@app.route('/')
@use_kwargs({
'cursor... | gnixxyz/flask-rest-api-example | web/routes/post.py | post.py | py | 1,246 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "flask_apispec.doc",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_apispec.use_kwar... |
40379512160 | import os
import sys
import setuptools
__version__ = ''
__author__ = ''
# Get the root path of the project
root_path = sys.argv[ 0 ].split( '/venv' )[ 0 ]
# Read the __version__ and __author__ inforrmation
with open( os.path.abspath( os.path.join( root_path, 'm3u_serializer', 'version.py' ) ) ) as f:
exec( f.rea... | pe2mbs/m3u_serializer | setup.py | setup.py | py | 860 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_numb... |
23088721998 | __author__ = "maggie.sun@intel.com, ryan.lei@intel.com"
from shutil import copyfile
import fileinput
import os
import re
from Utils import GetShortContentName, ExecuteCmd
from Config import BinPath, LogCmdOnly, LoggerName, HDRTool
import logging
subloggername = "HDRToolsRun"
loggername = LoggerName + '.' + '%s' % sub... | WuJoel2020/aom | tools/convexhull_framework/src/CalcQtyWithHdrTools.py | CalcQtyWithHdrTools.py | py | 2,956 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "Config.LoggerName",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Config.BinPath",
... |
26583529824 | import pygame
import os
import sys
import sqlite3
from helicopter import Helicopter
from person import Person
from board import Board
from camera import Camera
from enemy import Enemy
MYEVENTTYPE = pygame.USEREVENT + 1
COLOR_INACTIVE = pygame.Color('white')
COLOR_ACTIVE = pygame.Color('green')
user = 'guest'
class ... | irkatsuk/helicopter | game.py | game.py | py | 8,803 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.USEREVENT",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.Color",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"li... |
25057062346 | from random import randint, random
__author__ = 'joelwhitney'
# SIE 558 - Final Take - Insert into DB
# this file:
# 1) opens connection to mysql db and sets up insert statement
# 2) set up pi serial connection
# 3) opens file to write results to and start reading from serial
# imports
import time
import... | snittel/SIE589_ImplementationofTemporalFields_JoelWhitney | TemporalFieldStream_InsertFakeDatatoDB.py | TemporalFieldStream_InsertFakeDatatoDB.py | py | 4,923 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pymysql.connect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
39705833845 | from rest_framework import serializers
from todolist.models import Task
from django.contrib.auth.models import User
class TaskSerializer(serializers.HyperlinkedModelSerializer):
owner = serializers.ReadOnlyField(source='owner.username')
class Meta:
model = Task
fields = ['url', 'id', 'owne... | GabrielCornejoB/to-do-app | back-end/todolist/serializers.py | serializers.py | py | 624 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.serializers.HyperlinkedModelSerializer",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ReadOnlyField",
"line_number":... |
26807926850 | import os
import sys
import numpy as np
import pytest
sys.path.append(os.path.join(os.path.dirname(__file__), "../.."))
module = __import__("Scalarization", fromlist=["Tchebycheff"])
class TestTchebycheff:
@pytest.mark.parametrize(
("x", "w", "ans"),
[
(np.array([1, 2, 3]), np.array(... | mit17024317/2020-0730 | Optimizer/Search/Scalarization/test/test_Tchebycheff.py | test_Tchebycheff.py | py | 712 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
36976777837 | # Author: Gael Varoquaux <gael dot varoquaux at normalesup dot org>
# License: BSD 3 clause
# mods to use webcam: A.Mazel
# source controlled under electronoos.scripts
import time
# Standard scientific Python imports
import matplotlib.pyplot as plt
# Import datasets, classifiers and performance metrics
from sklearn ... | alexandre-mazel/electronoos | scripts/sklearn_digits.py | sklearn_digits.py | py | 5,178 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "sklearn.datasets.load_digits",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "cv2.imshow",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.resize",... |
11060596998 | from selenium.webdriver.common.by import By
from traceback import print_stack
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import *
import utilities.custom_logger as cl
import logging
import time
import os
from s... | mohan1411-qa/QA_Automation_Testing | letsKode/base/selenium_driver.py | selenium_driver.py | py | 13,248 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "utilities.custom_logger.customLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utilities.custom_logger",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "logging.DEBUG",
"line_number": 14,
"usage_type": "attribute"
},
{
"a... |
24275800266 | """
Simple twitter crawler program to gather Hungarian tweets
Authentication and twitter access
"""
import tweepy
auth = tweepy.OAuthHandler('#####', '#####')
auth.set_access_token('#-###', '#####')
api = tweepy.API(auth, wait_on_rate_limit=True)
try:
redirect_url = auth.get_authorization_url()
except tweepy.Twe... | TimmDay/machine_learning | tweetcrawler_auths.py | tweetcrawler_auths.py | py | 378 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tweepy.TweepError",
"line_number": 14,
"usage_type": "attribute"
}
] |
42813125484 | import os
import openai
os.chdir('C:\\git\\powershell-labs\\openai')
openai.api_key = open('pykey.txt').read()
question = "List the 3 most populated US states with population, and abbreviation, output in json format"
aimodel = "text-davinci-003"
os.system('cls')
print('Submitting request to openai...')
response = o... | Skatterbrainz/notebooks | ps-openai/openaisample.py | openaisample.py | py | 436 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.chdir",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.system",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "openai.Completion.create",
"... |
10823559577 | """ Python3: Display pdf file metadata """
import PyPDF2
def display_metadata(md):
return {
'custom_properties':md.custom_properties,
'dc_contributor':md.dc_contributor,
'dc_coverage':md.dc_coverage,
'dc_creator':md.dc_creator,
'dc_date':md.dc_date,
... | CRTejaswi/Python3 | Text Processing/PyPDF2/6.py | 6.py | py | 1,647 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PyPDF2.PdfFileReader",
"line_number": 32,
"usage_type": "call"
}
] |
16346858484 | import time
from multiprocessing import Process, Manager
import cv2
from ultralytics import YOLO
def process_frame(original_frames, processed_frames):
# Load a model
model = YOLO('yolov8n.pt')
while True:
if original_frames.qsize() > 0:
original_frame = original_frames.get()
... | otm0937/yolo | multi_yolo.py | multi_yolo.py | py | 3,016 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "ultralytics.YOLO",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "cv2.putText",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
... |
36104276243 | import bpy
import bmesh
from mathutils import Vector, Matrix
# Internal modules
import nmv.scene
import nmv.mesh
import nmv.utilities
####################################################################################################
# @get_vertex_position
###########################################################... | BlueBrain/NeuroMorphoVis | nmv/mesh/ops/mesh_vertex_ops.py | mesh_vertex_ops.py | py | 30,319 | python | en | code | 111 | github-code | 1 | [
{
"api_name": "nmv.scene.scene.ops.deselect_all",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "nmv.scene.scene",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "nmv.scene",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "nmv.s... |
74391663074 | # -*- coding: utf-8 -*-
"""
主程式檔
"""
from fastapi import FastAPI, status, Response
from fastapi.middleware.cors import CORSMiddleware
from fastapi.exceptions import RequestValidationError
from fastapi.responses import JSONResponse
from utils.app import router
from utils.config import config, WebLogger
API = config['... | hello02923/Shop_project | shop/main.py | main.py | py | 2,402 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "utils.config.config",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.config.config",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "utils.config.... |
42240524012 | from django.contrib import admin
from django.urls import path
from . import views
app_name = "assistance_app"
urlpatterns = [
path(
'',
views.MainView.as_view(),
name='main'
),
path(
'listar-asistencias/',
views.ListAllAssistances.as_view(),
name='assistance... | Rogrback/Control-asistencia | applications/assistance/urls.py | urls.py | py | 685 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
23278878197 | import os
import cv2
import lmdb
import numpy as np
import argparse
import shutil
import sys
def checkValid(imgBin):
if imgBin is None:
return False
try:
imgBuffer = np.fromstring(imgBin, dtype=np.uint8)
img = cv2.imdecode(imgBuffer, cv2.IMREAD_GRAYSCALE)
img_h... | saig599/Yr4_dissertation | 956299/create_dataset.py | create_dataset.py | py | 4,554 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.fromstring",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cv2.imdecode",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",... |
74143119072 | from flask import Flask, render_template, request, redirect, url_for
from bson import ObjectId
from pymongo import MongoClient
import os
from datetime import datetime
app = Flask(__name__)
client = MongoClient("mongodb://127.0.0.1:27017")
db = client.HelpAustralia
donations = db.donations
goal=70000
@app.route("/")
... | BeaverJulia/HelpAustralia | app.py | app.py | py | 1,759 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request.met... |
19819016338 | import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
img = cv.imread("imagens/eu.jpg", 0)
img1 = cv.imread("imagens/eu.jpg", 0)
linhas, colunas = img1.shape
matriz = np.float32([(1, 0, 50),[0, 1, 100]])
deslocada = cv.warpAffine(img1, matriz, (linhas, colunas))
mes = cv.addWeighted(img, 0.1, img... | vitormnoel/opencv | visao-comp/mesclar.py | mesclar.py | py | 409 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.warpAffine",
"line_number": ... |
71874425955 | #!/usr/bin/python3
from flask import Flask, request
from twilio.twiml.messaging_response import MessagingResponse
import RPi.GPIO as GPIO
import time
import pyotp
import atexit
app = Flask(__name__)
totp = pyotp.TOTP(pyotp.random_base32())
setup_mode = True
@app.route('/sms', methods=['POST'])
def sms():
global ... | connickshields/garage-pi | app.py | app.py | py | 1,109 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyotp.TOTP",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyotp.random_base32",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"... |
11929972635 | import os
from flask import Flask, Blueprint, request
from flask_mail import Mail
from flask_sqlalchemy import SQLAlchemy
from flask_security import Security, SQLAlchemyUserDatastore, hash_password
from flask_security.models import fsqla_v2 as fsqla
from flask_migrate import Migrate
from flask_bootstrap import Bootstr... | edwinlock/csef | webapp/__init__.py | __init__.py | py | 4,326 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "logging.config.dictConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "flask_wtf.CSRFProtect... |
10291321382 | import requests
from bs4 import BeautifulSoup
URL = "https://online-samsung.ru/catalog/smartfony/"
page = requests.get(URL)
soup = BeautifulSoup(page.content, "html.parser")
post = soup.find("div","commerce-order-item-add-to-cart-form-commerce-product-39672 commerce-order-item-add-to-cart-form" )
#post_id... | tester214pro/botdocker | mParser.py | mParser.py | py | 645 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
}
] |
24670436795 | from decimal import Decimal
from math import floor
from itertools import chain
import json
from datetime import datetime, timedelta
from django.contrib.auth.decorators import login_required
from django.shortcuts import get_object_or_404, render
from django.utils import timezone
from django.http import HttpResponse, Ht... | hashirharis/DjangoERP | pos/views.py | views.py | py | 25,396 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "math.floor",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "brutils.decorators.access_required",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": ... |
40803566449 | from gensim.test.utils import datapath, get_tmpfile
from gensim.models import KeyedVectors
glove_file = datapath('/home/mathuryash5/7th Sem/Web Technologies - II/QuizUp/trained_model/glove.6B.50d.txt')
tmp_file = get_tmpfile("word2vec_50d.txt")
# calling glove2word2vec script
from gensim.scripts.glove2word2vec import ... | mukundsood1996/QuizUp | get_similar_categories.py | get_similar_categories.py | py | 640 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gensim.test.utils.datapath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "gensim.test.utils.get_tmpfile",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "gensim.scripts.glove2word2vec.glove2word2vec",
"line_number": 8,
"usage_type": "ca... |
10466685172 | #***************************************************************************
#* Copyright (c) 2001,2002 Jürgen Riegel <juergen.riegel@web.de> *
#* *
#* This file is part of the FreeCAD CAx development system. *
#* ... | 15831944/YanhuaNC-master | src/App/FreeCADInit.py | FreeCADInit.py | py | 25,685 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.path",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "sys.path.remove",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "sys.platform",
"line_... |
31001236125 | import pandas as pd
import numpy as np
import time
import networkx as nx
import ast
from iteration_utilities import unique_everseen, duplicates
import operator
###################DataFrame:#####################################
#Read .CSV File that contains networks of all KCore bots between a sequence of bots. Each ro... | sai6kiran/TwitterBotFarms | kCoreBots/CoreBotEN/MachineLearning/NaiveBayes/CoreBotsSentiment/PythonScripts/KCoreBotStatistics.py | KCoreBotStatistics.py | py | 9,193 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
"... |
70888302755 | # -*- coding: utf-8 -*-
# 노드의 개수 n, 간선에 대한 정보가 담긴 2차원 배열 vertex가 매개변수로 주어질 때,
# 1번 노드로부터 가장 멀리 떨어진 노드가 몇 개인지를 return 하도록 solution 함수를 작성해주세요.
from collections import deque
import copy
# bfs 알고리즘을 통해 노드 1로 부터 각 노드 사이의 최단 거리를 구한다.
def bfs(edge,n):
myqueue = deque([])
check_dict = {}
check = [0] * (n+1)
... | rhkddud3917/Algorithm-Practice | Programmers/level3/프로그래머스-level3-가장 먼 노드.py | 프로그래머스-level3-가장 먼 노드.py | py | 1,636 | python | ko | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 43,
"usage_type": "call"
}
] |
306549963 | #!/usr/bin/env python
import sys, os
import cnavgpost.mergehistories.event_cycles_module as histseg
from cnavgpost.mergehistories.history_node_links_module import *
import cPickle as pickle
def add_event_link_options(parser):
parser.add_argument('--cnavg', help='the CN-AVG output directory for a sample')
parser.... | dzerbino/cn-avg | paper_figures/cnavgpost/mergehistories/score_and_link_cycles.py | score_and_link_cycles.py | py | 3,210 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "cnavgpost.mergehistories.event_cycles_module.Global_BINWIDTH",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "cnavgpost.mergehistories.event_cycles_module",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "cnavgpost.mergehistories.event_cyc... |
17815017352 | import json
import random
import re
from services.services import is_subscribed, is_admin
from vk_session import vk_session
def get_button(button):
return {
"action": {
"type": "text",
"payload": "{\"button\": \""+ "1" + "\"}",
"label": str(button['text'])
},
... | chrnk-exe/GoodMorningBot | bot/lib.py | lib.py | py | 2,928 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "vk_session.vk_session.method",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "vk_session.vk_session",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "vk_... |
11207917458 | """Analyze log files produced by launch-task"""
import argparse
import datetime
import re
import sys
from collections import namedtuple
from edx.analytics.tasks.tools.analyze.measure import Measurement
from edx.analytics.tasks.tools.analyze.parser import LogFileParser
from edx.analytics.tasks.tools.analyze.report imp... | openedx/edx-analytics-pipeline | edx/analytics/tasks/tools/analyze/main.py | main.py | py | 9,334 | python | en | code | 90 | github-code | 1 | [
{
"api_name": "collections.namedtuple",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "edx.analytics.tasks.tools.analyze.measure.Measurement.from_json",
"line_number": 54,
"usag... |
43135793844 | import torch
from ...util import torch_dtype_from_str
def map_controlnet(pt_mod, dim=320, device="cuda", dtype="float16"):
if not isinstance(pt_mod, dict):
pt_params = dict(pt_mod.named_parameters())
else:
pt_params = pt_mod
params_ait = {}
for key, arr in pt_params.items():
ar... | FizzleDorf/AIT | AITemplate/ait/util/mapping/controlnet.py | controlnet.py | py | 1,304 | python | en | code | 49 | github-code | 1 | [
{
"api_name": "util.torch_dtype_from_str",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.pad",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch... |
17726346978 | from PyQt5.QtCore import QUrl, QObject, pyqtSlot
from PyQt5.QtWebEngineWidgets import QWebEngineView as QWebView
from PyQt5.QtWebChannel import QWebChannel
from PyQt5.QtWidgets import QWidget
from PyQt5.QtWidgets import QVBoxLayout
import threading
import logging
import time
import os
import ui.utils
class Applicatio... | EtienneDesticourt/MakuraReader | ui/application.py | application.py | py | 4,423 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWebEngineWidgets.QWebEngineView",
"line_number": 29,
"usage_type": "call"
},
{
... |
14376985012 | from argparse import ArgumentParser
from datetime import datetime
from os import remove
from os.path import join
import joblib
import numpy
from mpi4py import MPI
from scipy.stats import kendalltau, spearmanr
# Local packages
try:
import RARinterpret
except ModuleNotFoundError:
import sys
sys.path.append(... | Richard-Sti/RARinterpret | scripts/run_pc.py | run_pc.py | py | 3,833 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",... |
42767390194 | import cv2
import depthai as dai
import numpy as np
def getMonoCamera(pipeline, side):
mono = pipeline.createMonoCamera()
mono.setResolution(dai.MonoCameraProperties.SensorResolution.THE_720_P)
if side == 'LEFT':
mono.setBoardSocket(dai.CameraBoardSocket.LEFT)
else:
mono.setBoardSocket(... | mahi-ma/CameraCalibration | depth_capture_mono.py | depth_capture_mono.py | py | 1,588 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "depthai.MonoCameraProperties",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "depthai.CameraBoardSocket",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "depthai.CameraBoardSocket",
"line_number": 11,
"usage_type": "attribute"
... |
38069302412 | from ..repository.models import *
from ..extensions import db
from ..utils import get_current_time, build_cpt_path
from gi.repository import Limba
from gi.repository import AppStream
import os
import glob
import shutil
import gzip
def safe_move_file(old_fname, new_fname):
if not os.path.isfile(old_fname):
... | limbahq/limba-hub | lihub/maintain/update_indices.py | update_indices.py | py | 2,220 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "os.path.isfile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
45532933544 | from django.shortcuts import render
from django.http import HttpResponse
from django.views import View
from django.core import serializers
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import JsonResponse
from . import models
clas... | watsonjiang/apihub | admin/views.py | views.py | py | 2,956 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.views.View",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "dj... |
16964224154 | """add mark_flag to mailbox
Revision ID: afb03fbe983d
Revises: 6333dc7ec84b
Create Date: 2020-11-14 15:29:00.221551-05:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'afb03fbe983d'
down_revision = '6333dc7ec84b'
branch_labels = None
depends_on = None
def ... | DaniilKurlovich/slowmail | backend/app/alembic/versions/afb03fbe983d_add_mark_flag_to_mailbox.py | afb03fbe983d_add_mark_flag_to_mailbox.py | py | 498 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "alembic.op.add_column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Boolean... |
13734513309 | from typing import List
from django.conf import settings
from twirp.context import Context
from twirp.exceptions import TwirpServerException
from base.models import Lexicon
from lib.domain import Questions
from lib.wdb_interface.constants import TIMEOUT
from lib.wdb_interface.exceptions import WDBError
from lib.wdb_i... | domino14/Webolith | djAerolith/lib/wdb_interface/wdb_helper.py | wdb_helper.py | py | 3,006 | python | en | code | 32 | github-code | 1 | [
{
"api_name": "base.models.Lexicon",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "lib.wdb_interface.word_searches.SearchDescription.lexicon",
"line_number": 26,
"usage_type": "call"
},
... |
42629944723 | from flask import Flask, render_template, request
from flask_debugtoolbar import DebugToolbarExtension
from stories import all_stories
app = Flask(__name__)
app.config["SECRET_KEY"] = "mad libs"
debug = DebugToolbarExtension(app)
@app.route('/')
def index():
return render_template("selection.html", stories = all_... | wendybujalski/springboard-exercises | 19.2.12/app.py | app.py | py | 729 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_debugtoolbar.DebugToolbarExtension",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name... |
6584264656 | from typing import Optional, TYPE_CHECKING
from UM.Logger import Logger
import cura.CuraApplication # Imported this way to prevent circular references.
from cura.Machines.ContainerTree import ContainerTree
from cura.Machines.Models.QualityProfilesDropDownMenuModel import QualityProfilesDropDownMenuModel
if TYPE_CHE... | Ultimaker/Cura | cura/Machines/Models/CustomQualityProfilesDropDownMenuModel.py | CustomQualityProfilesDropDownMenuModel.py | py | 2,255 | python | en | code | 5,387 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cura.Machines.Models.QualityProfilesDropDownMenuModel.QualityProfilesDropDownMenuModel",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 1... |
24209042617 | ##############################################
# Stefan Grulović (20150280) - Project part A
# 10/6/2019
# Part A is to build a program which can read a file
# that contains Formula 1 racing results and then filter,
# search and or calculate statistics from the data.
##############################################
# Li... | Grulovic/Phyton | Part A - F1.py | Part A - F1.py | py | 13,308 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.rcdefaults",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "csv.reader",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "csv.reader"... |
74358224674 | import logging
from typing import Union
from pydantic import BaseModel
from wikibaseintegrator import wbi_config
from wikibaseintegrator.wbi_helpers import execute_sparql_query
import config
from helpers import console
from models.enums import Return
from models.wikicitations_wikibase import WikiCitationsWikibase
lo... | dpriskorn/wikicitations-api | models/lookup_wikicitations_qid.py | lookup_wikicitations_qid.py | py | 3,837 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "models.wikicitations_wikibase.WikiCitationsWikibase",
"line_number": 17,
"usage_type": "call"
},
... |
71276363875 | # -*- coding: utf-8 -*-
"""
Created on Sun Aug 25 10:42:17 2019
@author: Colton Smith
"""
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metr... | coltonfsmith/BlogProjects | pima_analysis.py | pima_analysis.py | py | 2,898 | python | en | code | 19 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.bool",
"line_n... |
7833199559 | """Definition of DAFs."""
from __future__ import annotations
from functools import reduce
import field
from common import Bool, Unsigned, gen_rand
from xof import XofTurboShake128
class Daf:
"""A DAF"""
# Algorithm identifier for this DAF, a 32-bit integer.
ID: Unsigned = None
# The number of Agg... | cfrg/draft-irtf-cfrg-vdaf | poc/daf.py | daf.py | py | 6,619 | python | en | code | 14 | github-code | 1 | [
{
"api_name": "common.Unsigned",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "common.Unsigned",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "common.Bool",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "common.Unsigned",
"li... |
3300578970 | import numpy as np
import pickle
from flask import Flask, request, jsonify, render_template, url_for, redirect
#st.set_page_config(page_title='SNOWNLP', page_icon=None, layout='centered', initial_sidebar_state='auto')
# load the model
app = Flask(__name__)
# load the models from disk
model = pickle.load(open('mo... | priya-roy/snow-assignment-group-predict | app copy.py | app copy.py | py | 894 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": ... |
39631374652 |
import json
path = '/home/dylan/placeschallenge/instancesegmentation/imgCatIds.json'
with open(path) as f:
dict = json.load(f)
outarr = ['background'] * 101
for category in dict['categories']:
outarr[category['id']] = category['name']
breakpoint()
| DylanAuty/MDE-biological-vision-systems | misc_scripts/get_classes.py | get_classes.py | py | 257 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 8,
"usage_type": "call"
}
] |
26539682744 | from pymongo import MongoClient
import csv
# DB connectivity
client = MongoClient('localhost', 27017)
# dbsparta 라는 곳에 넣는다
dbsparta = client.dbsparta
collection = dbsparta.collection
# Function to parse csv to dictionary
def csv_to_dict():
reader = csv.DictReader(open("C:/Users/user/Desktop/Web_Study/Dance_Matc... | ohbumjun/Flask_DanceAcademySearchApp | ToDB/Csv_To_DB.py | Csv_To_DB.py | py | 548 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 12,
"usage_type": "call"
}
] |
70735318754 | import os
import glob
import random
import monai
from os import makedirs
from os.path import join
from tqdm import tqdm
from time import time
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
from datetime import datetime
from segment_anyt... | bowang-lab/MedSAM | extensions/point_prompt/train_point_prompt.py | train_point_prompt.py | py | 10,100 | python | en | code | 1,269 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "torch.cuda.empty_cache",
"line_number": 100,
"usage_type": "call"
},
{
"api_name": "torch.cud... |
73290039715 | import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
from firebase import firebase
cred = credentials.Certificate('./ServiceAccount.json')
default_app = firebase_admin.initialize_app(cred)
db = firestore.client()
firebase = firebase.FirebaseApplication('', None)
#post, cr... | limiyama/pythonCRUD | db.py | db.py | py | 444 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "firebase_admin.initialize_app",
"line_number": 8,
"usage_type": "call"
... |
24481074245 | import json
import boto3
import logging
import uuid
import utils
from boto3.dynamodb.conditions import Key, Attr
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
def lambda_handler(event, context):
sqs = boto3.client('sqs')
sns = boto3.client('sns')
queue_url = 'https://sqs.us-east-1.amazonaws... | jingxianwtan/cloud_final_project | lambda_functions/project_match/lambda_function.py | lambda_function.py | py | 2,507 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "boto3.client",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"l... |
12600180751 | '''
title : blockchain.py
description : A blockchain implemenation
author : Adil Moujahid
date_created : 20180212
date_modified : 20180309
version : 0.5
usage : python blockchain.py
python blockchain.py -p 5000
python blockchain.... | adilmoujahid/blockchain-python-tutorial | blockchain/blockchain.py | blockchain.py | py | 11,355 | python | en | code | 617 | github-code | 1 | [
{
"api_name": "uuid.uuid4",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "Crypto.PublicKey.RSA.importKey",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "Crypt... |
25746641155 | from django.urls import path
from .views import *
urlpatterns = [
path('gul/', gul),
path('moshina/', moshina),
path('odam/', odam),
path('uy/', uy),
path('tel/', tel),
path('mevaa/', meva),
path('davlat/', davlat),
path('qoshiq/', qoshiq),
path('yegulik/', yegulik),
path('rasm/... | mastercoder9363/python- | core/urls.py | urls.py | py | 364 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
8095000936 | import os
import time
from time import sleep
from threading import Event
from led import CLed
from button import CButton
from led_pwr_callback import *
import argparse
from argparse import RawTextHelpFormatter
import sys
import textwrap
import RPi.GPIO as GPIO
# Globals
################################################... | fsteinha/raspi_button_ctrl | src/d_usr_button_ctrl.py | d_usr_button_ctrl.py | py | 5,215 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "led.CLed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_n... |
1471336023 | import pymysql
class JIJIESQLDB:
def __init__(self):
self.conn = pymysql.connect(host='127.0.0.1',
port=3306,
user='root',
passwd='*********',
db='JIJIESQL',
... | q23175401/News-Crwaler | NewsCrawler/JIJIESQL.py | JIJIESQL.py | py | 4,352 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pymysql.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pymysql.OperationalError",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pym... |
14684995317 | from functools import reduce
def load_depths(filename):
file = open(filename, "r")
try:
lines = file.readlines()
return [int(s) for s in lines]
finally:
file.close()
def accumulate_deeper(result, next):
count = result["count"]
if next > result["last_depth"]:
count =... | sea36/aoc-2021 | aoc_1.py | aoc_1.py | py | 1,111 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "functools.reduce",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 37,
"usage_type": "call"
}
] |
38762787191 | from grafico_canvas import Grafico_Canvas
from PyQt5 import QtWidgets
class Grafico_Barra(QtWidgets.QWidget):
def __init__(self, parent = None):
QtWidgets.QWidget.__init__(self, parent)
self.canvas = Grafico_Canvas()
self.vbl = QtWidgets.QVBoxLayout()
self.vbl.addWidget(self.canvas)... | omarjcm/p60-POO | code/matplotlib/pyqt-matplotlib/grafico_barras/grafico_barra.py | grafico_barra.py | py | 353 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QWidget.__init__",
"line_number": 6,
"usage_type": "call"
},
{
"api_na... |
72891857955 | # -*- coding: UTF-8 -*-
import sqlite3 as sqlite
from config import config
class Log:
def __init__(self, logId = None):
self.logId = logId
self.samples = {}
self.steps = 0
if (logId):
self.__load()
def __load(self):
con = sqlite.connect(config.DB)
cur = con.cursor()
cur.execute("SELECT sample_no, ... | nextsux/stepper | Log.py | Log.py | py | 947 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sqlite3.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "config.config.DB",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "config.config",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",... |
6123989613 | from manimlib.imports import *
from scipy.optimize import curve_fit
def yx2features(ran=[0, 5], number=100):
def func(): return ((max(ran) - min(ran) + 1) * np.random.random(number)) + min(ran)
x1 = np.array(func)
x2 = np.array(list(map(lambda z: int(z), func())))
y = np.array([1 if x1[i] > x2[i] els... | vivek3141/videos | mario.py | mario.py | py | 13,778 | python | en | code | 132 | github-code | 1 | [
{
"api_name": "scipy.optimize.curve_fit",
"line_number": 154,
"usage_type": "call"
}
] |
1501533870 |
import sys
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import (QLabel, QGridLayout, QWidget, QVBoxLayout, QHBoxLayout, QLineEdit, qApp, QMenu,
QGroupBox, QPushButton, QApplication, QSlider, QMainWindow, QSplashScreen,
QAction, QComboBox, QMessageBox, QDia... | tunelipt/boundarylayer | pos1d.py | pos1d.py | py | 7,064 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QVBoxLayout",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QHBoxLayout",
"line_number": 57,
"usage_type": "call"
},
{
"a... |
12592804774 | """
Main file for the program
"""
from urllib import request, parse
import requests
from private import private
import json
import datetime, time
headers = {
'accept': private.API_accept,
'API-Key': private.API_KEY,
'Content-Type': private.API_Content_Type,
}
def get_my_IP():
"""
:return: Sting ... | NicolasGagne/NOT-StaticIP | main.py | main.py | py | 3,450 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "private.private.API_accept",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "private.private",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "private.private.API_KEY",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_... |
166470727 | import pyodbc
import streamlit as st
import openai
import pandas as pd
import os
with st.sidebar:
st.title('ЁЯЧия╕П Natural Language -- SQL Query Chatbot')
st.markdown('''
## About App:
To create the app, The primary resources utilised are:
- [Streamlit](https://streamlit.io/)
-... | Malikk1997/Chat-with-PDF-using-OpenAi-Streamlit | advworks.py | advworks.py | py | 3,862 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "streamlit.sidebar",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "streamlit.title",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.writ... |
19715798346 | import numpy as np
import json
import pygame
class Controller:
def __init__(self,joystick):
self.joy_min = 0.1
self.buttons = {}
self.mapping = {}
#joystick = -1
# Go into this if statement if the joystick is a joystick
if (joystick != -1):
self.joystick... | Benji-UW/COBOT-Transducer-Control-Code | Controller.py | Controller.py | py | 4,223 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pygame.key.key_code",
"line_number"... |
31001238815 | import pandas as pd
import numpy as np
import time
import networkx as nx
import ast
from iteration_utilities import unique_everseen, duplicates
import operator
###################DataFrame:#####################################
#Read .CSV File that contains network of all Policital BOTS transmitted between a sequence o... | sai6kiran/TwitterBotFarms | kCoreBots/CoreBotEN/MachineLearning/NaiveBayes/CoreBotsSentiment/PythonScripts/NetworkBotStatistics.py | NetworkBotStatistics.py | py | 13,790 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
... |
24233720499 | from django.http import HttpResponseRedirect, JsonResponse
from django.shortcuts import redirect, render
from django.urls import reverse
from django.views.generic import ListView
from django.views import View
from django.contrib.auth.models import User
from django.contrib import messages
from django.contrib.auth import... | kzaleskaa/django-blog | blog/views.py | views.py | py | 9,246 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.views.View",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "models.Post.objects.order_by",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name"... |
40889428472 | # Written by why-py
#t.me/pythonmobin
from pyrogram import Client, idle, filters
from pyrogram.types import Chat
from pyrogram.errors.exceptions.bad_request_400 import UsernameNotOccupied,UsernameInvalid
from pyrogram.errors.exceptions.not_acceptable_406 import ChannelPrivate
from apscheduler.schedulers.asyncio import... | why-py/Telegram-Username-Locker | main.py | main.py | py | 6,003 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "pyrogram.Client",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyrogram.enums.ParseMode.HTML",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "pyrogram.enums.ParseMode",
"line_number": 43,
"usage_type": "name"
},
{
"api_n... |
70040097954 | from PIL import Image
from datetime import datetime
from time import sleep
import io
import socket
import struct
import numpy as np
import time
import base64
import xlsxwriter
workbook = xlsxwriter.Workbook('Server_time.xlsx')
worksheet = workbook.add_worksheet()
def current_mili_time():
return int(round(time.time... | elicul/Self_Driving_RC_Car | test/server.py | server.py | py | 2,119 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "xlsxwriter.Workbook",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "socket.SOL_SOCKET",
"... |
5145155010 | import cv2 as cv
from tkinter import filedialog
# Reading images
# img = cv.imread('index.jpg')
# cv.imshow("Image", img)
# cv.waitKey(0)
# Rescaling
def rescale(frame, scale=0.75):
width = int(frame.shape[1] * scale)
height = int(frame.shape[0] * scale)
dimensions = (width, height)
r... | Laudkyle/my-python-projects | Python Scripts/opencv tutorials/Opencv.py | Opencv.py | py | 688 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.resize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.as... |
23972551085 | #View for the gre app in my blog
import os
import re
import requests
import random
import datetime
import json
import logging
#from xhtml2pdf import pisa
from urllib.request import urlopen
from urllib.error import URLError
from bs4 import BeautifulSoup
from django.core.exceptions import ObjectDoesNotExist
from djan... | pranphy/DBlog | gre/views.py | views.py | py | 13,097 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "django.views.generic.View",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "mode... |
34477348191 | from safegtk import SafeGTK
import rpyc
import gobject
import gtk
import pygtk
pygtk.require('2.0')
def BrowserServiceFactory(browser):
class BrowserService(rpyc.Service):
def on_connect(self, conn):
conn._config["allow_public_attrs"] = True
def exposed_navigate(self, url):
... | tomerfiliba-org/rpyc | demos/web8/client.pyw | client.pyw | pyw | 2,773 | python | en | code | 1,454 | github-code | 1 | [
{
"api_name": "pygtk.require",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "rpyc.Service",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "gtk.Window",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "gtk.WINDOW_TOPLEVEL",
"... |
17462735129 | #!/usr/bin/env python3
import sys, os, csv, itertools, pickle, lzma, json, hashlib, tempfile, difflib, re, glob
from pprint import pprint, pformat
from collections import namedtuple
from counter import Ticket, PreferenceFlow, PapersForCount, SenateCounter
def named_tuple_iter(name, reader, header, **kwargs):
fiel... | sgryphon/dividebatur | senatecount.py | senatecount.py | py | 9,656 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.namedtuple",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "lzma.open",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "lzma.open",
"line_num... |
35193966880 | import cv2
from djitellopy import Tello
import numpy as np
import torch
from torch import nn
import torchvision
from create_apple_model import Categories as CAP_Categories
from create_rotten_model import Categories as CRM_Categories
from predict_ripe import RipenessPredictor
class CropToSquare:
def __call__(self... | TheMikeste1/Fruit-Fly | drone_controls/fruit_fly.py | fruit_fly.py | py | 7,796 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.Tensor",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"l... |
5730017501 | import streamlit as st
import numpy as np
import pandas as pd
import plotly.express as px
import ast
def read_df():
df = pd.read_csv("250_top_IMDB.csv")
def convert_runtime(runtime):
parts = runtime.split()
total_minutes = 0
for part in parts:
if "h" in part:
... | mohsen-tech/IMDb-Top-250-Movies-Scraper | pages/Static Charts.py | Static Charts.py | py | 4,071 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "ast.literal_eval",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "ast.litera... |
36604175083 | import csv
import os
import re
#from math import round
import sys
import numpy
from matplotlib.lines import Line2D
import matplotlib.pyplot as plt
plt.rcParams.update({
"text.usetex": True,
"font.family": "Helvetica",
"font.size": 18
})
if len(sys.argv)==2:
file='-'+sys.argv[1]
else:
file=""
if... | diehlpk/async_heat_equation | plotme.py | plotme.py | py | 4,697 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
... |
70309866273 | from django.db import models
from .product import Product
class Magazine(models.Model):
product = models.OneToOneField(Product, related_name='Magazines', on_delete=models.CASCADE, primary_key=True)
name = models.CharField('Name', max_length = 200, blank=True, null=True)
edition = models.IntegerField(defa... | Dayroot/Ciclo3_Backend | bookstoreApp/models/productModels/magazine.py | magazine.py | py | 487 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.OneToOneField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name... |
7739299645 | from flask import Flask, render_template, redirect, request, jsonify, flash, url_for
from . import student_bp
import app.models.student_model as studModel
from app.student.forms import StudentForm
headings = ("ID_Number", "First Name", "Last Name", "Course", "College", "Year", "Gender", "Actions")
@student_bp.route('... | edenDorato27/SSIS_CCC181_WEB | app/student/controller.py | controller.py | py | 5,011 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.models.student_model.Student.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.models.student_model.Student",
"line_number": 14,
"usage_type": "attribute... |
26467932377 | import random, uuid
colors = ["red", "orange", "yellow", "blue", "green", "indigo", "violet", "brown", "sienna", "carnation", "citrus", "saffron", "lime", "lavender", "emerald"]
animals = ["cat", "dog", "hamster", "gecko", "ferret", "oppossum", "phoenix", "dinosaur", "spider", "camel", "unicorn", "thestral", "swan"]
... | shenjessiej/scratchpad3 | util.py | util.py | py | 511 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "random.randint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "uuid.uuid1",
"line_number": 9,
"usage_type": "call"
}
] |
33705694698 | from .defines import set_creds, make_apicall
import json
user_media_model = ""
def get_user_media(params):
endpoint_params = dict()
endpoint_params[
'fields'] = 'timestamp,id,caption,media_type,shortcode,permalink,media_url'
endpoint_params['access_token'] = params['access_token']
url = para... | HarryTang4/IG-ObjectDetection-SentimentAnalysis | playground/instagramapi.py | instagramapi.py | py | 4,517 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "defines.make_apicall",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "defines.make_apicall",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.dump",
"... |
15160463653 | import numpy as np
import imageio
import os
from ssr.utility.logging_extension import logger
def read_hdr_image(in_hdr_png):
# =========================================================================
# https://github.com/imageio/imageio/issues/204
# Read with FreeImage instead of Pillow is MANDATORY TO R... | SBCV/SatelliteSurfaceReconstruction | ssr/surface_rec/preparation/data_extraction/tone_map_general.py | tone_map_general.py | py | 8,983 | python | en | code | 75 | github-code | 1 | [
{
"api_name": "imageio.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.amax",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.amax",
"line_n... |
28433545047 | #!/usr/bin/env python
# coding: utf-8
import sys
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
def main():
filenames = sys.argv[1:]
df = pd.concat(pd.read_csv(filename) for filename in filenames)
names = df['name'].unique()
for name in names:
plt.clf()
... | expertisesolutions/csharp-native-benchmarks | plot.py | plot.py | py | 640 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pandas.concat",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.clf",
... |
20780494961 | import telebot
from telebot import types
import requests
import time
import os
import json
vk_token = 'Your vk token'
tg_token ='Your tg token'
id_channel = '@your id channel'
group_name = 'your group name'
URL = 'your group url'
with open('old_id.json') as file:
old_id = json.load(file)
bot = te... | kittysshark/VKGroupBot_v2.0 | VKGroupBot_v2.0.py | VKGroupBot_v2.0.py | py | 2,060 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "telebot.TeleBot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "telebot.types.InlineKeyboardMa... |
14964674523 | import os
from setuptools import setup
HERE = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(HERE, 'README.md')) as f:
README = f.read()
setup(
name='pytest-dynamic-fixtures',
long_description=README,
version='0.0.1',
install_requires=["pytest"],
packages=["pytest_dynamic_... | LeonPatmore/pytest-dynamic-fixtures | setup.py | setup.py | py | 380 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
3203825224 | import os,sys
import numpy as np
import matplotlib.pyplot as plt
import cv2
from tqdm import tqdm
from ulitities.base_functions import get_file
inputdir = '/home/omnisky/PycharmProjects/data/tree/isprs/label_all'
outputdir = '/home/omnisky/PycharmProjects/data/tree/isprs/label_binary'
target_class=[1,2,3,4,5]
if __n... | scrssys/SCRS_RS_AI | data_prepare/label_multi2binary.py | label_multi2binary.py | py | 1,509 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.path.isdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number"... |
31336318486 | import matplotlib.pyplot as plt
import numpy as np
from scipy.interpolate import griddata
from fast_histogram import histogram2d
x = np.random.normal(0, 1, 10000)
y = np.random.normal(0, 1, 10000)
X = np.linspace(-2, 2, 10000)
Y = np.linspace(-2, 2, 10000)
X, Y = np.meshgrid(X, Y)
def convert_bin_edges_to_points(arr... | avivajpeyi/agn_phenomenological_model | tests/study_2d_hist_interpolation.py | study_2d_hist_interpolation.py | py | 1,652 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.random.normal",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.normal",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",... |
411766540 | import sys
import logging
import gzip
from argparse import ArgumentParser
from typing import Dict, Iterator, List, Optional, Tuple
from dae.utils.verbosity_configuration import VerbosityConfiguration
from dae.genomic_resources import build_genomic_resource_repository
from dae.genomic_resources.genomic_context import G... | iossifovlab/gpf | dae/dae/effect_annotation/cli.py | cli.py | py | 14,603 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 85,
"usage_type": "name"
},
{
"api_name": "dae.genomic... |
21722317765 | from src.utils.File_reader import Reader
from src.Gene import *
from src.Individual import Individual
from src.Environment import Group, Env
from numpy import random
import logging
logging.basicConfig(filename='./syslogging.log',
format='[%(asctime)s-%(filename)s-%(levelname)s:%(message)s]',
... | uwnelljy/geneticalgo | Main.py | Main.py | py | 4,409 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "src.utils.File_reader.Reader.read",
"line_number": 45,
"usage_type": "call"
},
{
"api_name"... |
27056743863 | import gzip
import argparse
import numpy as np
TrainImagePath = 'C:/Users/jackson/Desktop/chiacheng/visualstudiocode/nctu110fall/ML/hw2/train-images-idx3-ubyte.gz'
TrainLablePath = 'C:/Users/jackson/Desktop/chiacheng/visualstudiocode/nctu110fall/ML/hw2/train-labels-idx1-ubyte.gz'
TestImagePath = 'C:/Users/jackso... | changcc0716057/NCTU | ML_2021/HW2 Naive Bayes & Online Learning/NaiveBayes.py | NaiveBayes.py | py | 10,722 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "gzip.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.frombuffer",
... |
39730708369 | """
mrks.py
Functions associated with mrks inversion
"""
import numpy as np
from opt_einsum import contract
import psi4
import time
class MRKS():
"""
Wavefunction to KS_potential method based on
[1] [PRL 115, 083001 (2015)],
[2] [J. Chem. Phys. 146, 084103 (2017)].
The XC potential is calculated... | wasserman-group/n2v | n2v/methods/mrks.py | mrks.py | py | 19,695 | python | en | code | 16 | github-code | 1 | [
{
"api_name": "opt_einsum.contract",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_num... |
25381435991 | import time
import os
from apminsight import constants
try:
from collections.abc import Callable # noqa
except ImportError:
from collections import Callable # noqa
def current_milli_time():
return int(round(time.time() * 1000))
def is_non_empty_string(string):
if not isinstance(string, str):
... | Wealize/apminsight-site24x7-py | apminsight/util.py | util.py | py | 2,780 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.Callable",
"line_number": 37,
"usage_type": "argument"
},
{
"api_name": "apminsight.constants.ext_components",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_n... |
16478160075 | import sys
import os
import atexit
import platform
import pathlib
from PySide2.QtGui import QGuiApplication
from PySide2.QtQml import QQmlApplicationEngine
from PySide2.QtQuickControls2 import QQuickStyle
from resources.controllers.crunchyroll_controller import CrunchyrollController
VERSION = "0.0.1"
APPLICATION_NAME ... | mastrHyperion98/AmadeusTV | src/main.py | main.py | py | 1,553 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.environ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "platform.release",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
3650959719 | from os.path import join, dirname, abspath
from babel import Locale
from babel.dates import UTC
from markupsafe import Markup
from ..allspeak import I18n
LOCALES_TEST = abspath(join(dirname(__file__), u'locales'))
LOCALES_TEST2 = LOCALES_TEST + u'2'
def test_init_i18n():
i18n = I18n(LOCALES_TEST)
assert i... | jpsca/allspeak | tests/test_i18n.py | test_i18n.py | py | 5,719 | python | en | code | 11 | github-code | 1 | [
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "allspeak.I18n",
"lin... |
73747079075 | import cv2
import sys
(major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')
def BadParams():
print("Example usage:")
print("python3 tracker.py fish.mp4 3")
sys.exit()
if __name__ == '__main__' :
# Check for correct argument usage
if len(sys.argv) < 3:
print("Enter the locat... | SamuelJakes/objection-tracking | tracker-first-attempt.py | tracker-first-attempt.py | py | 3,555 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.__version__.split",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.__version__",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line... |
70171476195 | import matplotlib.pyplot as plt
import pandas as pd
fn = '/gpfs23/scratch/h_vangard_1/chenh19/findadapt_bench/realdata/87_geo_study_group.txt'
reads_type = ['3p Adapter only', 'QIAseq', 'NEXTFLEX', 'Template Switching', 'Trimmed']
ct = {k: [0 for _ in range(5)] for k in ['Matched', 'Mislabeled', 'Not Specified', 'Ot... | chc-code/findadapt | utils/simulation_and_benchmark/plot_realdata_accuracy.py | plot_realdata_accuracy.py | py | 1,777 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.DataFrame",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.savefig",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 50,
"usage_type": "name"
}
] |
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