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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
44018082756 | import keras
import numpy as np
from keras import backend as K
from keras.datasets import mnist
from keras.layers import (Activation, Conv2D, Dense, Dropout, Flatten,
MaxPooling2D)
from keras.models import Sequential
from keras.regularizers import l2
from keras.wrappers.scikit_learn import Ker... | modAL-python/modAL | examples/deep_bayesian_active_learning.py | deep_bayesian_active_learning.py | py | 3,375 | python | en | code | 2,058 | github-code | 6 | [
{
"api_name": "keras.models.Sequential",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "keras... |
7833050177 | import os
import cv2
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torchvision import models
from torch.utils.tensorboard import SummaryWriter
from torch.utils.data import DataLoader, random_split
from tqdm import tqdm
from unet import UNet, At... | tobyshooters/unet_harmonization | train.py | train.py | py | 6,504 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.manual_seed",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "tqdm.tqdm",
... |
3478327540 | import json
import os
import uuid
from functools import partialmethod
from urllib.parse import urlparse
import pytest
from dvc.testing.cloud import Cloud
from dvc.testing.path_info import CloudURLInfo
from funcy import cached_property, retry
from dvc_gdrive import GDriveFileSystem
class GDriveURLInfo(CloudURLInfo):... | gshanko125298/Prompt-Engineering-In-context-learning-with-GPT-3-and-LLMs | myenve/Lib/site-packages/dvc_gdrive/tests/cloud.py | cloud.py | py | 3,457 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "dvc.testing.path_info.CloudURLInfo",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "googl... |
73643621308 | from collections import OrderedDict
import torch
from torch import nn
from torch.nn import functional as F
import lib.model.resnet as lib_resnet
class HierarchicalCSTM(nn.Module):
"""Channel-wise SpatioTemporal Module"""
def __init__(self, in_channels):
super(HierarchicalCSTM, self).__init__()
... | DeepAlchemist/video-person-reID | lib/ops/stm.py | stm.py | py | 7,344 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv1d",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
32621644970 | # -*- coding: utf-8 -*-
# @Time : 2018/08/15 14:00
# @Author : zhoutaotao
# @File : sceneInfoManager.py
# @Software: dialogManagerServerNewDM
# @Desc:场景信息管理类
from ....src.dataStructure.sceneInfo import SceneInfo
from ....src.sceneInfo import sceneInfoExtractor
from ....src.dataStructure.sceneState import SceneState
fro... | bowenzhao123/pingAn_Chatbot | src/DM/manager/sceneInfoManager.py | sceneInfoManager.py | py | 12,050 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "src.sceneInfo.sceneInfoExtractor.SceneInfoExtractor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "src.sceneInfo.sceneInfoExtractor",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "src.slot.slotInterfaceCall.SlotInterfaceCall",
"line_num... |
35727198785 | import telebot
from telebot import types
from datetime import datetime
import schedule
import time
import random
from threading import Thread
import sqlite3
con = sqlite3.connect('database2.db', check_same_thread=False)
cur = con.cursor()
def db_data_val(id: int, workout_ex, date):
cur.execute('INSERT into worko... | katyammah/parsing | telegram-bot/remindmebot.py | remindmebot.py | py | 6,726 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "telebot.TeleBot",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.today",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.date... |
24308172999 | #! /usr/bin/python3
from bs4 import BeautifulSoup as bs
import requests, time, random, urllib, re, os, sys, argparse, datetime
from typing import Union, TextIO
def get_url(
query=None, year_lo=None, year_hi=None,
title_only=False, publication_string=None,
author_string=None, include_citations=True... | fdq09eca/edu_research | gsch_crawler/search.py | search.py | py | 11,852 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.parse.quote",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "re.match",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_nu... |
41383174069 | from __future__ import annotations
from typing import TypeVar
from abc import ABC, abstractmethod
from hvac import Quantity
from hvac.cooling_load_calc.core import (
ConstructionAssembly,
WindowThermalProperties
)
Q_ = Quantity
TBuildingElement = TypeVar(
'TBuildingElement',
bound='AbstractBuildi... | TomLXXVI/HVAC | hvac/heating_load_calc/core/building_element.py | building_element.py | py | 15,226 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "hvac.Quantity",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "abc.ABC",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "hvac.Quantity",
"line_number... |
12900517956 | import logging
import json
import os
from config import CustomObject
class Config(CustomObject):
LOGGING_LEVEL_MAP = {
'error': logging.ERROR,
'warning': logging.WARNING,
'info': logging.INFO,
'debug': logging.DEBUG,
}
def __init__(self, config_file):
super(Config... | honeybeeveloper/plat_back | config/config.py | config.py | py | 2,140 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "config.CustomObject",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "logging.ERROR",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.WARNING",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.IN... |
30949476409 | # coding=utf-8
# 3.导入模块
from appium import webdriver
import time
desired_caps = {}
desired_caps['platformName'] = 'Android' #android的apk还是IOS的ipa
desired_caps['platformVersion'] = '8.0' #android系统的版本号
desired_caps['deviceName'] = '127.0.0.1:62001' #手机设备名称，通过adb devices 查看
desired_caps['appPackage'] = 'com.xueqi... | JulyLess/appium.xueqiu | Test/test_TaoBao.py | test_TaoBao.py | py | 843 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
529673207 | """Dj_infoMana URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
... | lingyunyi/PythonLittleProject | 210813 - Dj_infoMana/Dj_infoMana/urls.py | urls.py | py | 1,628 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "urls_viewShow.dj_loginAndlogoutVs.infoMa_login",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "urls_viewShow.dj_loginAndlogoutVs",
"line_number": 21,
"usage_type":... |
28530074263 | import sys
import os
import glob
import argparse
import numpy as np
import matplotlib.pyplot as plt
import pickle
if __name__ == '__main__':
# Check for command line arguments
parser = argparse.ArgumentParser()
parser.add_argument('--folder', type=str, required=True)
parser.add_argument('--prefix', ty... | OminiaVincit/hqrc-qtasks | nonlinear/postprocess/plot_hqrc_spectral_mixu_backup.py | plot_hqrc_spectral_mixu_backup.py | py | 3,447 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
... |
4100855340 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Updated:
# 1. 使用async来update lastname，更加稳定
import time
import os
import sys
import logging
import asyncio
import random
from time import strftime
from telethon import TelegramClient
from telethon.tl.functions.account import UpdateProfileRequest
api_auth_file = 'api_... | xifanu/Telegram-Name-Updating | tg_username_update.py | tg_username_update.py | py | 1,817 | python | en | code | null | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "telethon.TelegramClient",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.basicConf... |
15229339682 | import base64
import json
import os
import re
import zlib
from retrying import retry
from xmlrpc.client import ServerProxy
from api.fixture import load_fixture
from api.subtitle.model import to_model
LANGUAGE = 'en'
NEWLINE_PATTERN = re.compile(r'(\r\n|\r|\n)')
OPENSUBTITLES_URL = 'http://api.opensubtitles.org/xml-... | stephanos/subvoc | api/subtitle/opensubtitles.py | opensubtitles.py | py | 3,931 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "xmlrpc.client.ServerProxy",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "base64.standard_b64decode",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "zlib.d... |
448088270 | from tkinter import *
import sqlite3
from sqlite3 import Error
from PIL import ImageTk , Image
import tkinter
import tkinter.messagebox
from Create_Customer import *
from Print_All_Customers import *
from Open_Account import *
from Branch_Add import *
from List_Branch import *
from Add_Employee import *
fro... | vipul7499/Banking_management_dmbs | banker_login.py | banker_login.py | py | 2,858 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sqlite3.Error",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "PIL.ImageTk.PhotoImag... |
27264211310 | """
IntervalT2Engine_Centroid.py
Created 6/1/2022
"""
from typing import List
from juzzyPython.intervalType2.sets.IntervalT2MF_Interface import IntervalT2MF_Interface
import math
from juzzyPython.generic.Tuple import Tuple
import juzzyPython.intervalType2.sets.IntervalT2MF_Intersection
import juzzyPython.intervalType2... | LUCIDresearch/JuzzyPython | juzzyPython/intervalType2/sets/IntervalT2Engine_Centroid.py | IntervalT2Engine_Centroid.py | py | 11,513 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "juzzyPython.intervalType2.sets.IntervalT2MF_Interface.IntervalT2MF_Interface",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "juzzyPython.generic.Tuple.Tuple",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "juzzyPython.intervalType2.sets.Inter... |
39132502185 | import kronos
from django.utils import timezone
from .models import *
from .update_db import update_fixtures, create_team_standing
def change_status():
now = timezone.now()
fixtures = Fixture.objects.filter(status=1)
for fixture in fixtures:
if fixture.date < now:
fixture.status = 3
... | psawicki5/Django-NewBet-App | NewBet/betapp/cron.py | cron.py | py | 668 | python | en | code | 23 | github-code | 6 | [
{
"api_name": "django.utils.timezone.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "update_db.update_fixtures",
"line_number": 20,
"usage_type": "call"
},
{
"api_name"... |
17736720956 | import itertools
import numpy as np
from omero.gateway import BlitzGateway
from omero.model import enums as omero_enums
from omero.rtypes import rlong, rstring
import omero.scripts as scripts
import omero.util.script_utils as script_utils
import scipy.stats
import sklearn.mixture
import threadpoolctl
import traceback
... | jmuhlich/auto-minerva | omero-auto-render.py | omero-auto-render.py | py | 6,000 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "omero.model.enums.PixelsTypeint8",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "omero.model.enums",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "omero.model.enums.PixelsTypeuint8",
"line_number": 17,
"usage_type": "attribute"
... |
40101001598 |
#importing packages
import datetime
from prettytable import PrettyTable
import itertools as iter
dateList=[]
dataList = []
#For the individual list
def individualList():
ilist = [0 for i in range(7)]
ilist[5] = []
return ilist
#getting last name data by id
def getLastNameByID(list_in... | salonikalsekar/CS555-SSW555_agileMethodologies | sprint3.py | sprint3.py | py | 33,034 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.date.today",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "datetime.date",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "datetime.date",... |
11879942603 | import chess
import chess.polyglot
import chess.svg
import random
import time
from collections import namedtuple
from IPython.display import SVG, display
from eval import EvalBoard as Board
Entry = namedtuple('Entry', ['val', 'type', 'depth'])
# Entry types
EXACT = 0
LOWER = 1
UPPER = 2
WHITE = chess.WHITE
BLACK = ... | eliranhaze/chess | engine.py | engine.py | py | 46,443 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "chess.WHITE",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "chess.BLACK",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "chess.PAWN",... |
73613738429 | import os
from scipy import stats
# No Survival information
#
all_types = ["ACC","BLCA","BRCA","CHOL","COADREAD","DLBC","ESCA","GBM","HNSC","KICH","KIRC","KIRP","LAML","LGG","LIHC","LUAD","LUSC","MESO","PAAD","PCPG","SARC","SKCM","STAD","THCA","THYM","UVM"]
# all_types = ["ACC"]
def getClinical(tumortype):
clinica... | prosium/sexdiff | Figure/Figure_S1F_Analysis.py | Figure_S1F_Analysis.py | py | 1,770 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.stats.ttest_ind",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number": 62,
"usage_type": "name"
}
] |
27710272557 | import argparse
import csv
import sys
from collections import namedtuple
from itertools import product
from relation_extraction_utils.internal.dep_graph import Step, DepGraph
from relation_extraction_utils.internal.link import Link
from relation_extraction_utils.internal.map_csv_column import CsvColumnMapper
from rela... | yyellin/relation-extraction-utils | relation_extraction_utils/extract_relations_ud_plus_ucca.py | extract_relations_ud_plus_ucca.py | py | 11,356 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "relation_extraction_utils.internal.ucca_types.UccaParsedPassage.from_serialization",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "relation_extraction_utils.internal.ucca... |
71349329149 | import numpy as np
import cv2 as cv
import math
from server.cv_utils import *
from server.lane_detection.utils import *
left_a, left_b, left_c = [],[],[]
right_a, right_b, right_c = [],[],[]
def detection(img,service,curr_steering_angle,show_canny=False,show_hough=False):
img = convertRGB(img)
img = resizeImg... | eamorgado/Car-Self-driving-Simulator | CarlaDriving/server/lane_detection/detection.py | detection.py | py | 1,148 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imshow",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.add",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cv2.addWeighted",
"line_number": 32... |
32241128375 | """SMRT Importer directory processor."""
from pathlib import Path
from sqlalchemy.exc import IntegrityError
from time import sleep
from smrt_importer.config import config
from smrt_importer.loader import SMRTLoader
from smrt_importer.db import insert_file
def move_file(path: Path, dest: Path):
"""Move a file, ... | ezramorris/smrt-importer | smrt_importer/processor.py | processor.py | py | 2,547 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "smrt_importer.config.config.processed_dir.mkdir",
"line_number": 39,
"usage_type": "call"
},
{
"api_nam... |
36229731250 | from typing import List
'''
剑指 Offer II 110. 所有路径 == 797
图DFS，因为有向无环，少了不少难度。
'''
class Solution:
def allPathsSourceTarget(self, graph: List[List[int]]) -> List[List[int]]:
n = len(graph) - 1
res = []
def dfs(index, pathlist):
if index == n:
res.append(pathlist)
... | z-w-wang/Leetcode-Problemlist | FxxkOffer/Graph/Offer_2_110.py | Offer_2_110.py | py | 579 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
}
] |
910232890 | from io import StringIO
from horton.log import Biblio
from horton.context import context
from common import write_if_changed
biblio = Biblio(context.get_fn('references.bib'))
def key(item):
return int(item[1].tags['year']), item[0]
f = StringIO()
print('Literature', file=f)
print('##########', file=f)
items =... | theochem/horton | doc/update_literature.py | update_literature.py | py | 546 | python | en | code | 83 | github-code | 6 | [
{
"api_name": "horton.log.Biblio",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "horton.context.context.get_fn",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "horton.context.context",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "i... |
10486396172 | import logging
from collections import namedtuple
from dataclasses import dataclass
from typing import DefaultDict, Dict, Iterable, List, Optional, Tuple
import vega_sim.api.data_raw as data_raw
import vega_sim.grpc.client as vac
import vega_sim.proto.data_node.api.v1 as data_node_protos
import vega_sim.proto.vega as ... | PeteWilliams/vega-market-sim | vega_sim/api/data.py | data.py | py | 23,297 | python | en | code | null | github-code | 6 | [
{
"api_name": "logging.Logger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "collecti... |
30946915464 | import discord
import random
from discord.ext import commands
class Fun(commands.Cog):
def __init__(self, client):
self.client = client
@commands.command()
async def greet(self, ctx):
responses = [
":smiley: :wave: Hello, there!",
":kissing_heart: Hey c... | Dootella/YasmineBot | extension/Eightball.py | Eightball.py | py | 1,661 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "random.choice",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "discor... |
44509968087 | # We install the FER() library to perform facial recognition
# This installation will also take care of any of the above dependencies if they are missing
import json
import cv2
from fer import FER
from PIL import Image, ImageDraw, ImageFont
# import matplotlib.pyplot as plt
# %matplotlib inline
img = cv2.imread("./t... | qiulongquan/face_emotion_recognition | fer/face_emotion.py | face_emotion.py | py | 2,258 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "fer.FER",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_number"... |
38117395672 | # 인터파크 투어 사이트에서 여행지를 입력 후 검색 -> 잠시후 -> 결과
# 로그인 시 PC 웹 사이트에서 처리가 어려울 경우 -> 모바일 로그인 진입 (naver) =>
# 모듈 가져오기
# pip install selenium
# pip install bs4
# pip install pymysql
from selenium import webdriver as wd
from bs4 import BeautifulSoup as bs
from selenium.webdriver.common.by import By
import time
from DbMgr import D... | rheehot/itemcrawling | py_project/run.py | run.py | py | 7,299 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "DbMgr.DBHelper",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "selenium.... |
70483523709 | from PyQt5.QtCore import Qt, QPoint
from PyQt5.QtWidgets import QWidget, QSizePolicy, QHBoxLayout, QLabel, QMessageBox
from PyQt5.QtGui import QPixmap, QMouseEvent
from UI.HistoryControl import HistoryControl
from PIL import Image, ImageQt
from ObjectDetect import ObjectDetector, Word2Cloud
from FileTrans import FileTr... | LeoWei1997/SE_project | UI/ImageWindow.py | ImageWindow.py | py | 10,147 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QHBoxLayout",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 22,
"usage_type": "name"
},
{
"api_na... |
34115453007 | import torch.nn as nn
import torch.nn.functional as F
from base import BaseModel
class CIFRModel(BaseModel):
def __init__(self):
super().__init__()
self.depthwise_separable_conv1 = nn.Sequential(
nn.Conv2d(in_channels=3, out_channels=3, kernel_size=3, groups=3, padding=1, bias=False)... | Nageswar-Sahoo/EVA-8 | assignment-5/model/model.py | model.py | py | 1,739 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base.BaseModel",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"lin... |
74266462587 | "Token bucket rate limiting"
import time
import json
class TokenBucket():
"A rate limiting algorithm that allows short bursts of activity"
def __init__(self, rate, maximum):
self.rate = rate
self.maximum = maximum
self.tokens = maximum
self._updated = time.time... | lericson/tokenbucket | src/tokenbucket.py | tokenbucket.py | py | 3,257 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pylibmc.Client",
"line_number": 57... |
36875481780 | from flask import Flask, render_template, request, redirect, url_for
import threading
from producer import fetch_stock_price, toggle_producer, historical_data
from consumer import consume_stock_prices, toggle_consumer, kafka_data_queue
import logging
import plotly.express as px
# Set up logging
logging.basicConfig(lev... | Shikha-code36/Real-Time-Stock-Price-Tracker-using-Kafka | main.py | main.py | py | 3,452 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
... |
3986869390 | """The websocket request"""
from typing import Any, Dict, Mapping
from asgi_typing import WebSocketScope
from .websocket import WebSocket
class WebSocketRequest:
"""A WebSocket request"""
def __init__(
self,
scope: WebSocketScope,
info: Dict[str, Any],
conte... | rob-blackbourn/bareASGI | bareasgi/websockets/websocket_request.py | websocket_request.py | py | 1,008 | python | en | code | 26 | github-code | 6 | [
{
"api_name": "asgi_typing.WebSocketScope",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"... |
29083001082 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 21 15:35:31 2017
@author: Ankit
"""
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
train = pd.read_csv('train.csv')
test=pd.read_csv('test.csv')
X = train.iloc[:, :-1].value... | anandankit95/Kaggle-Competitions | Housing Price Competition/KaggleRegressionCompetition.py | KaggleRegressionCompetition.py | py | 7,719 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.number",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.number",
... |
43967682986 | #!/usr/bin/env python
import sys
import argparse
import json
import logging
from Bio.Blast import NCBIXML
logging.basicConfig(level=logging.DEBUG)
log = logging.getLogger()
def parse_blast(blast, isXML = False):
res = []
finalRes = []
if isXML:
for iter_num, blast_record in enumerate(NCBIXML.parse... | TAMU-CPT/galaxy-tools | tools/blast/relatedness.py | relatedness.py | py | 10,405 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "Bio.Blast.NCBI... |
30565766666 | import bpy
# First frame to export
frame_start = 1
# Last frame to export
frame_end = 29
# Filename
filename = "/Users/kyle/enbito/public/models/edamame_unarmed_frames/explode/explode"
for f in range(frame_start, frame_end + 1):
bpy.context.scene.frame_set(f)
bpy.ops.export_scene.gltf(
filepath="%s.... | kylejlin/enbito | export_blender_frame_by_frame.py | export_blender_frame_by_frame.py | py | 450 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bpy.context.scene.frame_set",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bpy.context",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "bpy.ops.export_scene.gltf",
"line_number": 14,
"usage_type": "call"
},
{
"api_name":... |
40925578176 | import requests
import json
import time
times = []
for i in range(100):
start = time.time()
result = requests.post("http://localhost:5000/users/read_access",headers={"Content-Type":"application/json","access-token":"eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1aWQiOiI5ODg0NzhlNS1iZThmLTRjNjMtODk1ZS1mNzA5OGNhYjA2Nz... | leonyhenn/MASKOFF | backend/lambda/test.py | test.py | py | 1,139 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 31,
... |
8774251592 | '''
This toolbox can be used to describe soil surface state (crop cover, soil crusting and roughness) evolution.
Calculations are performed over multiple rainfall events and for all of the catchment plots.
Data from litterature are then used to convert these modelled soil surface state into runoff and erosion model inp... | BRGM/premache | Model/__main__.py | __main__.py | py | 4,112 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "utils.load_data",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "ModelInitialization.Init_CropTypes",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "Mode... |
10947419133 | from Audio import Audio
from Fingerprints import Fingerprints
from DB import DB
from collections import Counter
import matplotlib.pyplot as plt
def visualize(fp):
plt.figure(fp.audio.filename)
plt.imshow(fp.audio.S, origin='lower')
plt.title('STFT Magnitude')
plt.ylabel('Frequency bins')
plt.xlabel('Time bins')
... | hugopb82/AudioFingerprint | test.py | test.py | py | 838 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mat... |
11506761592 | import requests
from environs import Env
import argparse
def parse_args():
"""Parse arguments from input"""
parser = argparse.ArgumentParser(description='Making links shorter')
parser.add_argument('-l', '--link', help='Link which you would like to make shorter')
args = parser.parse_args()
return ... | andreqwert/bitlinks | bitly.py | bitly.py | py | 1,956 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
24276533222 | #!/usr/bin/env python
import sqlite3
import glob
import rospy
import time
import datetime
from std_msgs.msg import String
from trisonica_ros.msg import trisonica_msg
db_url = '/aiders/jetson/catkin_ws/mydatabase1.db'
droneName = "matrice210v2"
drone_id = 1
weather_id = 1
def sql_table_weather_data():
try:
... | KIOS-Research/AIDERS | aidersplatform/django_api/logic/djiswarmcatkinws/src/trisonica_ros/nodes/listener_with_sqlite3_weather.py | listener_with_sqlite3_weather.py | py | 3,861 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "time.time",
"l... |
8394391304 | import os
import sys
import shutil
import random
import os.path
import torchvision
import pandas as pd
from PIL import Image
from skimage import io
from utils.config import Args
import torch.utils.data as read_d
from torchvision import transforms
from torch.utils.data import Dataset
path1 = sys.path[1]
# print(path1... | VeritasXu/Ternary-Federated | utils/load_mnist.py | load_mnist.py | py | 6,267 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "sys.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torchvision.datasets.MNIST",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "to... |
39093916705 | # Byron Jones bjone079@uottawa.ca
# This program is for organising badminton rounds.
# The badminton club I will use it for is doubles play, with 4 available courts.
# It reads off (and saves to) a CSV file player information, and creates a list of dict.
# Features games sorted by amount of games played, skill, a... | poolpoolpool/badminton_1000 | Badminton_1000_FULL.py | Badminton_1000_FULL.py | py | 67,562 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.scrolledtext.ScrolledText",
"line_number": 100,
"usage_type": "call"
},
{
"api_name": "tkinter.scrolledtext",
"line_number": 100,
"usage_type": "name"
},
{
"api_name": "tkinter.messagebox.showerror",
"line_number": 282,
"usage_type": "call"
},
{... |
73365324027 | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
"""
QM/MM system to propogate dynamic simulations.
Manages the interactions between the QM and MM subsytems through their
respective interface objects.
"""
import os
import sys
import numpy as np
import ase
import ase.io
import ase.md
import ase.md.velocitydistribution ... | johnppederson/QM_MM_MD | qm_mm_md/qmmm_environment.py | qmmm_environment.py | py | 9,287 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "os.path.isdir",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "ase.Atoms",
"line_number":... |
25784084542 | import random
from datetime import datetime, timedelta
from dateutil.relativedelta import relativedelta, MO
import calendar
import pytz
import discord
from dotenv import load_dotenv
import asyncio
from collections import Counter
est = pytz.timezone("US/Eastern")
BOT_RUNNING = False
active_channels = set()
load_doten... | rrgallop/fitboi_dev | discord_bot.py | discord_bot.py | py | 9,562 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pytz.timezone",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "discord.Client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "discord.Intents.all",... |
28847432331 | import keras
import tensorflow as tf
from tqdm import tqdm
import numpy as np
import six
import os
import json
import sys
from .data_utils.data_loader import image_segmentation_generator
from .train import CheckpointsCallback
from keras.models import Model
def get_pariwise_similarities( feats ):
feats_... | divamgupta/image-segmentation-keras | keras_segmentation/model_compression.py | model_compression.py | py | 7,573 | python | en | code | 2,774 | github-code | 6 | [
{
"api_name": "tensorflow.reshape",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflow.reshape",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tensorflow.reduce_sum",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tensorflo... |
22469348249 | from typing import Dict, List, Union
from belvo.resources.base import Resource
class Statements(Resource):
"""
<br>
<div style="background-color:#f9c806; border-left: 6px solid #f9c806;padding: 12px;margin-left: 25px; border-radius: 4px; margin-right: 25px">
<strong>⚠️ Sunset notice: </strong> The St... | belvo-finance/belvo-python | belvo/resources/statements.py | statements.py | py | 2,146 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "belvo.resources.base.Resource",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.List",
... |
11768864502 | from qgis.PyQt.QtCore import QSettings, QTranslator, QCoreApplication
from qgis.PyQt.QtGui import QIcon
from qgis.PyQt.QtWidgets import QAction, QFileDialog
from qgis.core import QgsProject, QgsSymbolLayerUtils, QgsMessageLog
# Initialize Qt resources from file resources.py
from .resources import *
# Import the code f... | DocOC86/embedding_svg_projectfile | svg_embedder.py | svg_embedder.py | py | 10,881 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "qgis.PyQt.QtCore.QSettings",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.join"... |
25273205116 | # Loading weights of a pretrained keras model to PyTorch model
import numpy as np
from tensorflow.keras.models import load_model
from tensorflow.keras.layers import Conv3D, Conv3DTranspose
from tensorflow.keras.layers import BatchNormalization
import torch
from models import UNet3D
# Load keras weights
kerasModel =... | youssefassis/PyTorchTricks | keras2pytorch.py | keras2pytorch.py | py | 1,936 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.UNet3D",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Conv3D",
"line_number": 21,
"usage_type": "name"
},
{
"a... |
7464573982 | from __future__ import absolute_import
from craigslist import CraigslistJobs
from datetime import datetime
import time
import logging
import urllib2
from urlparse import urlparse
from bs4 import BeautifulSoup
from stores.models import Lead
from parsers.base import BaseParser
logger = logging.getLogger('latitude.craig... | demsullivan/latitude | backend/parsers/craigslist.py | craigslist.py | py | 2,704 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "parsers.base.BaseParser",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "time.mktime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
13637039909 | import sys, pygame, random, time
# -------- Universal constants -----------
SIZE = WIDTH, HEIGHT = (300, 300)
directions = {
'L': (-1, 0),
'R': (1, 0),
'U': (0, -1),
'D': (0, 1)
}
score = 0
appleSpawned = True
pygame.init()
screen = pygame.display.set_mode(SIZE)
pygame.display.set_caption('Snake')
F... | dauinh/game | snake.py | snake.py | py | 4,294 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
27351644383 | #!/usr/bin/env python
'''
This is the land model testbed (LMT) light-weighted cmorization toolkit
'''
import sympy
import numpy as np
import cf_units as cf
import netCDF4 as nc4
import os, sys, json, re
from shutil import copyfile
from mpi4py import MPI
import glob
def parse_rela(relastr):
'''
parse ... | minxu74/lmt_lwcmor | template/lmt_lwcmor.py | lmt_lwcmor.py | py | 27,520 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.single",
"line_number": 83,
... |
28598623539 | from selenium.webdriver.support.wait import WebDriverWait
def getElement(driver, by, locator):
"""
查找单一元素
:return:定位的元素对象
"""
try:
element = WebDriverWait(driver, 30).until(lambda x: x.find_element(by, locator))
except Exception as e:
raise e
else:
return element
d... | renfeifei198/TestTweb | Utils/ObjectMap.py | ObjectMap.py | py | 1,081 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.support.wait.WebDriverWait",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.wait.WebDriverWait",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 33,
... |
24998938171 | import datetime
import operator
import pooler
import time
from report import report_sxw
class employeereport(report_sxw.rml_parse):
def __init__(self, cr, uid, name, context):
super(employeereport, self).__init__(cr, uid, name, context)
self.localcontext.update({
... | factorlibre/openerp-extra-6.1 | hr_skill/report/employeereport.py | employeereport.py | py | 1,662 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "report.report_sxw.rml_parse",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "report.report_sxw",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 23,
"usage_type": "call"
},
{
"api_n... |
13017610914 | import os
import re
import shutil
import tempfile
import unittest
from subprocess import check_call, check_output
class TestCreateTaskdef(unittest.TestCase):
def setUp(self):
self.workdir = tempfile.mkdtemp()
self.module_path = os.path.join(os.getcwd(), 'test', 'infra')
check_call(
... | mergermarket/tf_lambda_s3_backup | test/test_taskdef.py | test_taskdef.py | py | 743 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
25355317374 | import config
import dataset
import engine
import torch
import pandas as pd
import torch.nn as nn
import numpy as np
from model import BERTBaseUncased
from sklearn import model_selection
from sklearn import metrics
from transformers import AdamW
from transformers import get_linear_schedule_with_warmup
def run():
... | nikjohn7/Jigsaw-Multilingual-Toxic-Comment-Classification | src/train.py | train.py | py | 2,530 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"... |
72531823229 | """New services_latest table
Revision ID: 4f9c8738178b
Revises: 84d3h35e5791
Create Date: 2023-03-24 16:43:39.309947+00:00
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "4f9c8738178b"
down_revision = "84d3h35e5791"
branch_labels = None
depends_on = None
def ... | ITISFoundation/osparc-simcore | packages/postgres-database/src/simcore_postgres_database/migration/versions/4f9c8738178b_new_services_latest_table.py | 4f9c8738178b_new_services_latest_table.py | py | 1,034 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "alembic.op.create_table",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Strin... |
37909509710 | import openslide
import glob, os, re
import cv2
import numpy as np
import pandas as pd
#from matplotlib import pyplot as plt
import time
from multiprocessing import Pool
import shutil
import pickle as pkl
import math
def write_file(path, text):
with open(path, 'w') as path_stream:
path_stream.write(text)
path_str... | samwbell/train_unet_mng | processing_scripts/annotate.py | annotate.py | py | 1,566 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "glob.glob",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_table",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number":... |
41183697124 | """
88. Merge Sorted Array
You are given two integer arrays nums1 and nums2, sorted in non-decreasing order, and two integers m and n,
representing the number of elements in nums1 and nums2 respectively.
Merge nums1 and nums2 into a single array sorted in non-decreasing order.
The final sorted array should not be re... | tmargary/ProblemSolving | leetcode/easy/problem_88.py | problem_88.py | py | 3,622 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 98,
"usage_type": "name"
}
] |
911104450 | import argparse
import bisect
import pickle
from fnmatch import fnmatch
import json
import os
import shutil
import subprocess
import sys
import time
__all__ = ['Message', 'TrapdoorProgram', 'get_source_filenames', 'run_command']
class Message(object):
"""Error message and meta information.
This class conta... | theochem/horton | tools/qa/trapdoor.py | trapdoor.py | py | 19,889 | python | en | code | 83 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 165,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 166,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 166,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_numbe... |
4535061806 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
# REF [site] >>
# http://scikit-learn.org/stable/modules/neural_networks_supervised.html
# http://scikit-learn.org/stable/modules/neural_networks_unsupervised.html
# http://scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html
from sklearn import n... | sangwook236/SWDT | sw_dev/python/rnd/test/machine_learning/sklearn/sklearn_neural_network.py | sklearn_neural_network.py | py | 2,429 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sklearn.neural_network.MLPClassifier",
"line_number": 18,
"usage_type": "call"
},
{
"... |
24512088521 | import asyncio
import datetime as dt
from channels.generic.websocket import AsyncJsonWebsocketConsumer
from trading.celery import app
class CeleryTaskStatusConsumer(AsyncJsonWebsocketConsumer):
async def connect(self):
await self.accept()
if self.scope["user"].is_anonymous:
await sel... | finbyz/trading_child | apps/master/consumers/celery_task_consumer.py | celery_task_consumer.py | py | 1,473 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "channels.generic.websocket.AsyncJsonWebsocketConsumer",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "trading.celery.app.control.inspect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "trading.celery.app.control",
"line_number": 20,
"... |
72532266429 | """ Module that takes care of communications with dynamic services v0
"""
import logging
from dataclasses import dataclass
import httpx
from fastapi import FastAPI, Response
from ..core.settings import DynamicServicesSettings
from ..utils.client_decorators import handle_errors, handle_retry
logger = logging.getLog... | ITISFoundation/osparc-simcore | services/director-v2/src/simcore_service_director_v2/modules/dynamic_services.py | dynamic_services.py | py | 1,589 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "core.settings.DynamicServicesSettings",
"line_number": 17,
"usage_type": "name"
},
{
"api_name"... |
43865352739 | import logging
from discord.ext import commands, tasks
from kumikocore import KumikoCore
from Libs.utils import calc_rank
class Tasks(commands.Cog, command_attrs=dict(hidden=True)):
"""Tasks that run in the background"""
def __init__(self, bot: KumikoCore) -> None:
self.bot = bot
... | No767/Kumiko | Bot/Cogs/tasks.py | tasks.py | py | 6,642 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "kumikocore.KumikoCore",
"line_number": 11,
"usage_type": "name"
},
{
"api_name":... |
33486759663 | import nltk
nltk.download('punkt')
from nltk.stem.lancaster import LancasterStemmer
stemmer = LancasterStemmer()
import numpy
import tflearn
import tensorflow
import random
import json
import pickle
with open("intents.json") as file:
data = json.load(file)
try:
with open("data.pickle", ... | JasonZm81/My_Projects | NLP ChatBot/ChatBot.py | ChatBot.py | py | 4,242 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.download",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "nltk.stem.lancaster.LancasterStemmer",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pickle.lao... |
31148151737 | import argparse
import seaborn as sns
import matplotlib.pyplot as plt
from scipy import stats
from collections import defaultdict
import pandas as pd
import numpy as np
import json
import os
def parse_args():
parser = argparse.ArgumentParser(prog='')
parser.add_argument('json', type=str, help='Figure1 JSON.')... | perezja/Leukos | presentation/figure2/figure2.py | figure2.py | py | 3,924 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.log2",
... |
29379966313 | import logging
import os
import random
import traceback
from queue import Queue
from threading import Thread
import time
from tqdm import tqdm
from db_refresh import _refresh_and_get_dist_info_list, BASE_DELAY, push_trends_to_db, WAIT_TIME_HRS, EXP_DELAY_FACTOR, \
NUM_DATA_REFRESHED, _refresh_slots
from db_servic... | keshav-sarraf/vaccine_slot_availability | db_refresh_multithread.py | db_refresh_multithread.py | py | 3,055 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
... |
10593592782 | """'four'
Revision ID: d15b0abcb101
Revises: 8cf26dea1625
Create Date: 2019-07-12 09:50:19.713048
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'd15b0abcb101'
down_revision = '8cf26dea1625'
branch_labels = None
depends_on = None
def upgrade():
# ### com... | kylinxjd/second_car | migrations/versions/d15b0abcb101_four.py | d15b0abcb101_four.py | py | 640 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alembic.op.drop_index",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.create_index",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "alembic.op",... |
5520860613 | from datetime import datetime
import hashlib
class Bloco:
def __init__(self, indice, hash_anterior, dados):
self.indice = indice
self.timestamp = datetime.utcnow().timestamp()
self.dados = dados
self.hash_anterior = hash_anterior
self.valor_pow = 0
self.hash = self.calcular_hash()
def print_bloco(self)... | willgcr/py-blockchain | blockchain.py | blockchain.py | py | 2,224 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "hashlib.sha256",
"line_number": 26,
"usage_type": "call"
}
] |
70389939068 | from django.db import models
# Create your models here.
from django.contrib.auth import get_user_model
from django.db import models
from django.utils.translation import gettext_lazy as _
from phonenumber_field.modelfields import PhoneNumberField
from api.common.models import TimeStampedUUIDModel
User = get_user_mode... | tjava/dailyhussle-api | api/profiles/models.py | models.py | py | 2,174 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.db.models.TextChoices",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 14,
"usage_type": "name"
},
{
... |
18101033084 | """
931. Minimum Falling Path Sum
https://leetcode.com/problems/minimum-falling-path-sum/
"""
from typing import List, Tuple
from unittest import TestCase, main
class Solution:
def minFallingPathSum(self, matrix: List[List[int]]) -> int:
n = len(matrix)
MAX_VALUE = result = 1000001 # (100 x 100 x... | hirotake111/leetcode_diary | leetcode/931/solution.py | solution.py | py | 1,773 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_nu... |
24649646978 | import pandas as pd
import urllib.request
import json
from pandas.io.json import json_normalize
coin_types = {"btc": 'btc.csv',
"eth": 'eth.csv',
"dash": "dash.csv",
"ltc": "ltc.csv",
"omg": "omg.csv",
"xrp": "xrp.csv",
"vtc": "vtc.csv",
"gnt": "gnt.csv",
"1st": "1st.csv",
"bts": "bts.csv"... | Raudaschl/historical_crypto_trade_simulator | download.py | download.py | py | 1,073 | python | en | code | 25 | github-code | 6 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 31,
"usage_type": "name"
},
{
"api_nam... |
16641132307 | """apiserver.py
Simple post grabber
"""
import gzip, json, base64, csv
from urllib.parse import urlparse, parse_qs
from http.server import BaseHTTPRequestHandler, HTTPServer
DEBUG_SERVER_PORT = 8080 # Use env variables instead of changing this value
CONDITIONS = [
'face-fitz-dl-g-0.json',
'face-fitz-ld-g-0.json',... | Social-Futures-Lab/skin-deep | code/backend/apiserver.py | apiserver.py | py | 3,922 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "base64.b64decode",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "http.server.BaseHTTPRequestHan... |
20355409106 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 1 22:54:05 2019
@author: Rishav
"""
import numpy as np
from sklearn.externals import joblib
Scaling_Factor=0.1
CR_Factor=0.3
Less_Than_list=[0.5,0.1,0.2,0.1,0.1]
Greater_Than_list=[0.4,0.09,0.09,0.09,0.09]
PopulationSize=100
Number_of_Variables=int(5)
Dat... | rsvsaha/DifferentialEvolution | DE.py | DE.py | py | 3,206 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.externals.joblib.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.externals.joblib",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "sklearn.externals.joblib.load",
"line_number": 17,
"usage_type": "call"
},
{
... |
34650835641 | import pandas as pd
import numpy as np
import sqlite3
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import seaborn as sns
import plotly.graph_objects as go
import plotly.offline as pyo
from plotly.subplots import make_subplots
import datetime as dt
import squarify
from sklearn.metrics i... | Martin-Guido/PROCESOS-ETL | CRM/etlcrm.py | etlcrm.py | py | 12,518 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects.Figure",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "plotly.gr... |
12097308048 | import detectron2
print(f"Detectron2 version is {detectron2.__version__}")
import requests
import os
import cv2
import numpy as np
import io
import torch, torchvision
from PIL import Image
from detectron2.data.datasets import register_coco_instances
from detectron2.data import DatasetCatalog
from detectron2.data import... | ArtyKrafty/detection | app_local_dock.py | app_local_dock.py | py | 6,896 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "detectron2.__version__",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.environ",
... |
7513007360 | import json
from .models import User
from rest_framework.views import APIView
from rest_framework import status
import redis
from rest_framework.response import Response
from .serializers import UserSerializer
redis_instance = redis.Redis(host='localhost',
port='6379',
... | gokcekaan97/goodjobgameschallange | leaderboard/leaderboard.py | leaderboard.py | py | 6,021 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "redis.Redis",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.User.objects.filter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "models.User.objects",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "models... |
73355179067 | from dragonfly import MappingRule
from actions.action_application import Firefox
from actions.action_shortcut import (
K,
T,
P
)
import choices.base as chc_base
#---------------------------------------------------------------------------
# Core Rule
#------------------------------------------------------... | codebold/hiccup | rules/thunderbird.py | thunderbird.py | py | 690 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "dragonfly.MappingRule",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "actions.action_shortcut.K",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "actions.action_shortcut.K",
"line_number": 20,
"usage_type": "call"
},
{
"api_nam... |
36233082995 | from flask import Flask, render_template
import numpy as np #open terminal and install it by cmd pip3 install numpy
app = Flask(__name__)
def yoshi():
print("Yoshi Bansal Bennett University Hello!!!")
x = [x for x in range(10) if x%2==0]
x = np.array(x)
return x
temp = yoshi()
@app.route('/')
@app.... | Yoshibansal/flaskProject1 | app.py | app.py | py | 789 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
71765763387 | """
Ubicaciones de Expedientes v3, rutas (paths)
"""
from typing import Annotated
from fastapi import APIRouter, Depends, Request
from fastapi_pagination.ext.sqlalchemy import paginate
from lib.authentications import Usuario, get_current_userdev, get_current_username
from lib.database import Session, get_db
from lib.... | PJECZ/pjecz-plataforma-web-api-new | plataforma_web/v3/ubicaciones_expedientes/paths.py | paths.py | py | 3,286 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "fastapi.Request",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Annotated",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "lib.database.Sessi... |
28028093370 | """Module to add user model
"""
from datetime import datetime, timedelta
from jose import jwt
from sqlalchemy import Column, Integer, String
from app.database import Base
from app.config import settings
class User(Base):
__tablename__ = "users"
id = Column(Integer, primary_key=True, index=True)
email ... | puebla93/netquest | app/models/user.py | user.py | py | 759 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.database.Base",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy... |
74977837947 | #!/usr/bin/env python3
import unittest
import logging
import os
from dipper.graph.RDFGraph import RDFGraph
from dipper.utils.rdf2dot import rdf2dot
from dipper.sources.GWASCatalog import GWASCatalog
from dipper.utils.TestUtils import TestUtils
logging.basicConfig()
logging.getLogger().setLevel(logging.WARN)
LOG = logg... | monarch-initiative/dipper | tests/test_gwascatalog.py | test_gwascatalog.py | py | 2,634 | python | en | code | 53 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.WARN",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.getLo... |
15517796496 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import os
from boto3.session import Session
def main():
region = "ap-northeast-1"
bucket_name = "triela-credentials"
access_key = os.environ.get("AWS_S3_ACCESS_KEY")
secret_access_key = os.environ.get("AWS_S3_SECRET_ACCESS_KEY")
# フォルダ用意
os.maked... | matanki-saito/vic3jpadvmod | download_credentials.py | download_credentials.py | py | 807 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
355998850 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import subprocess
import plistlib
import itertools
import json
from EmeraldAI.Logic.Singleton import Singleton
from EmeraldAI.Logic.Modules import Global
from EmeraldAI.Entities.Hotspot import Hotspot
from EmeraldAI.Config.Config import Config
if(Config().Get("Database", "WiFiF... | MaxMorgenstern/EmeraldAI | EmeraldAI/Logic/LocationProcessing/WiFiFingerprinting.py | WiFiFingerprinting.py | py | 7,541 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "EmeraldAI.Config.Config.Config",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "EmeraldAI.Config.Config.Config",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "EmeraldAI.Logic.Singleton.Singleton",
"line_number": 18,
"usage_type": "nam... |
10889947346 | from django.urls import path, include
from .import views
urlpatterns = [
path('', views.dashboard, name='dashboard'),
path('contact/', views.contact, name='contact'),
path('about/', views.about, name='about'),
path('services/', views.services, name='services'),
] | ishualvin/tour-traveling | tours/urls.py | urls.py | py | 285 | python | en | code | 0 | github-code | 6 | [
{
"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",
... |
28636385804 | from functools import reduce
def tribo1(count):
listA = [0, 1, 1]
any(map(lambda _:listA.append(sum(listA[-3:])),range(3, count)))
return listA[:count]
triboRec = lambda n: reduce(lambda x, _: x+[x[-1]+x[-2]+x[-3]],
range(n-3), [0, 1, 1])
n = input("Cantidad de terminos d... | jasito12345/2doParcial-INF319 | Problema2/Fiblambdapython.py | Fiblambdapython.py | py | 488 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "functools.reduce",
"line_number": 10,
"usage_type": "call"
}
] |
40467576041 | from django.conf.urls import url, include
from django.contrib import admin
from .views import (
PostCreateAPIView,
PostListAPIView,
PostDetailUpdateDeleteAPIView,
)
urlpatterns = [
url(r'^$', PostListAPIView.as_view(), name='list'),
url(r'^create/$', PostCreateAPIView.as_view(), name='create... | younux/blood-donation | server/src/posts/api/urls.py | urls.py | py | 429 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "views.PostListAPIView.as_view",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "views.PostListAPIView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name... |
23918843917 |
from selenium.webdriver.remote.webelement import WebElement
from selenium.webdriver.common.by import By
import re
class BookingReport:
def __init__(self,main_box:WebElement):
self.main_box=main_box
self.deal_boxes = self.main_box.find_elements(By.CSS_SELECTOR,'div[data-testid="property-card"]'... | MrGrewal0127/Booking.com | booking/booking_report.py | booking_report.py | py | 2,212 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.remote.webelement.WebElement",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.CSS_SELECTOR",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_numbe... |
26039169166 | from __future__ import annotations
import pytest
from pants.backend.docker.target_types import DockerImageTarget
from pants.backend.docker.util_rules.docker_build_args import (
DockerBuildArgs,
DockerBuildArgsRequest,
rules,
)
from pants.engine.addresses import Address
from pants.testutil.rule_runner impo... | pantsbuild/pants | src/python/pants/backend/docker/util_rules/docker_build_args_test.py | docker_build_args_test.py | py | 1,742 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.testutil.rule_runner.RuleRunner",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pants.backend.docker.util_rules.docker_build_args.rules",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pants.testutil.rule_runner.QueryRule",
"line_nu... |
38474557659 | from datetime import datetime
class Alert:
"""
Alert log object used to store information on events that have matched up with yaml rules.
Stores the rule title, filename, and description, event dict, and the rule level for scoring.
"""
def __init__(self, title, description, event, level, id, yaml... | CybercentreCanada/pysigma | pysigma/build_alert.py | build_alert.py | py | 3,336 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 93,
"usage_type": "call"
},
{
"api_name"... |
43079342814 | from typing import List
# https://leetcode.com/problems/maximum-subarray/
class Solution:
def maxSubArray1(self, nums: List[int]) -> int:
# below one is brute force, calculates sum of each sub array
max_sum = nums[0]
for i in range(len(nums)):
all_elements_sum = 0
... | devKhush/DSALeetCodeProblems_Python | MaxSubArraySum/MaximumSubarray.py | MaximumSubarray.py | py | 977 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 20,
"usage_type": "name"
}
] |
30881056185 | import urllib
from zope.interface import implements, Interface
from Products.Five import BrowserView
from Products.CMFCore.utils import getToolByName
from collective.opensearch import opensearchMessageFactory as _
class IOSFolderView(Interface):
"""
OSFolder view interface
"""
class OSFolderView(Brows... | collective/collective.opensearch | collective/opensearch/browser/osfolderview.py | osfolderview.py | py | 1,482 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "zope.interface.Interface",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "Products.Five.BrowserView",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "zope.interface.implements",
"line_number": 20,
"usage_type": "call"
},
{
"api_... |
75154528186 | from django.contrib import admin
import datetime
from django.db import models
from django.forms import Textarea
from core.models import Shop, Item, Cart, Order, Category
from django.contrib.auth.models import Group
from django.contrib import messages
from django.utils.safestring import mark_safe
admin.site.unregister(... | QunaweraKe/InKeepa-Official-Repo | core/admin.py | admin.py | py | 6,758 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.site.unregister",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.Group",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 10,
"usage_type": "a... |
37986354935 | #!/usr/bin/env python3
import asyncio
import dl24.listener
from watchdog.observers.polling import PollingObserver
async def async_main():
conn = dl24.listener.open_file_connection('proxy.log', observer=PollingObserver())
while True:
async for record in dl24.listener.proxy_log_records(conn):
... | nickponline/dl24-2017-finals | python/dl24/examples/listener_demo.py | listener_demo.py | py | 468 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dl24.listener.listener.open_file_connection",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dl24.listener.listener",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "dl24.listener",
"line_number": 8,
"usage_type": "name"
},
{
... |
8356817391 | import sqlite3
from sqlite3 import Error
import datetime
import json
from sys import argv, exit
from os import mkdir
def create_connection(db_file):
""" create a database connection to the SQLite database
specified by db_file
:param db_file: database file
:return: Connection object or None
"""
... | network-borescope/pop_df_softwares | filter_v2_to_dynamic_ips/non_client_ip_src.py | non_client_ip_src.py | py | 4,513 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sqlite3.Error",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptim... |
8266605596 | import fileinput
import logging
import os
import sys
import tempfile
from collections import OrderedDict
from contextlib import closing
from typing import TYPE_CHECKING, Callable, Dict, List
from urllib.parse import urlparse
import yaml
from cekit import crypto, version
from cekit.cekit_types import PathType
from cek... | cekit/cekit | cekit/generator/osbs.py | osbs.py | py | 14,205 | python | en | code | 70 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "cekit.config.Config",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cekit.gene... |
41322275116 | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import fenics as fen
from context import src
from src.time_harmonic_maxwell_problem import TimeHarmonicMaxwellProblem
class TwoDimensionalCavity(TimeHarmonicMaxwellProblem):
"""
Daughter class of TimeHarmonicMaxwellProblem specialize... | FMatti/Maxwell-MRI | examples/1_resonant_cavity/two_dimensional_cavity.py | two_dimensional_cavity.py | py | 3,744 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "src.time_harmonic_maxwell_problem.TimeHarmonicMaxwellProblem",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "fenics.FunctionSpace",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "fenics.Expression",
"line_number": 51,
"usage_type": "c... |
38794379946 | from itertools import permutations
n = int(input())
cases = [input().replace(' ', '') for _ in range(n)]
def leap_year(year):
if not year%400: return True
if not year%100: return False
if not year%4: return True
return False
def check_if_valid_date(date):
year = int(date[4:])
... | MaxwellGraves/ICPC-Practice | Practice2/Dreamer/bash.py | bash.py | py | 1,345 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "itertools.permutations",
"line_number": 36,
"usage_type": "call"
}
] |
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