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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
40303282711 | import serial
from flask import request
from flask_api import FlaskAPI, status
app = FlaskAPI(__name__)
ready = "ready"
port_name = "/dev/cu.usbmodem143201"
def send_str_to_arduino(msg):
with serial.Serial(port_name, 9600) as ser:
print("Waiting for arduino...")
ch = ser.read(len(ready))
... | dvdme/LcdDisplayWeb | serial_sender.py | serial_sender.py | py | 960 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask_api.FlaskAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.data.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "flask.request.... |
29657344095 | from django.conf.urls import include, url
from django.contrib import admin
admin.autodiscover()
from serve.views import bulkview,subprojectview,mapprojects,indexview,collectionview,collectioninsert,no_objection
urlpatterns = [
url(r'^search/', indexview, name='index'),
url(r'^admin/', include(admin.site.urls)... | ash2shukla/String-Match-API | stringmatchapi/stringmatchapi/urls.py | urls.py | py | 597 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name... |
30519553609 | from django.shortcuts import render
from django.db.models import Avg, Count
from django.contrib.auth.models import User
from django.http import HttpResponse
from .models import Rater, Rating, Movie
# Create your views here.
def all_movies(request):
movies = Movie.objects.all()
return render(request,
... | powder-river/django-movielens | movielens/review/views.py | views.py | py | 1,449 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "models.Movie.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Movie.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Movie",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.s... |
7036504591 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange, repeat
from torch import einsum
def compute_imitation_loss(input, target, weights):
target = torch.where(torch.isnan(target), input, target) # ignore nan targets
diff = input - target... | monster-ghost/MonoDistill | lib/losses/feature_distill_loss.py | feature_distill_loss.py | py | 5,481 | python | en | code | 61 | github-code | 97 | [
{
"api_name": "torch.where",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.isnan",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.any",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.interpolate",
... |
70334604158 | """DenseNet as encoder backbone.
Reference: https://arxiv.org/pdf/1608.06993.pdf
"""
import torch
from torch import nn
import numpy as np
import math
from training import CONFIGS_DIR, load_config
class DenseNet(nn.Module):
@classmethod
def from_config(cls, architecture_name, phase):
"""
Ar... | dnychennnn/m26_g1_semantics | training/models/densenet.py | densenet.py | py | 8,219 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "training.load_config",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "training.load_conf... |
11876191189 | from game import Game
import pygame
from player import Player
import sys
from os import environ
from utility import black
from config import Config
from datetime import datetime
if __name__ == "__main__":
num_games = 1
games = []
for i in range(num_games):
games.append(Game())
active_game = 0
... | RieCo432/PongAI | main.py | main.py | py | 3,178 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "game.Game",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pygame.init",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_... |
18931872934 | import discord
import asyncio
import aiohttp
import os
import re
import random
import json
def parseReplys(reply):
regex = r"\$\{([\w\ ]+)\}"
parsed = reply
matches = re.finditer(regex, reply, re.MULTILINE)
if not matches:
return parsed
for i in matches:
com = i.group(1).split(... | SeolHa314/DiscordMireiBot | app.py | app.py | py | 2,932 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "re.finditer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.MULTILINE",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "aiohttp.ClientSession",
... |
70801636159 | import requests
# Калсс содержит вызовы методов api сервиса, серилезовнные в методы класса
class Doge:
base_url = "https://dog.ceo/api"
def all_breeds(self):
response = requests.get(f"{self.base_url}/breeds/list/all").json()
print(response)
if response.ok:
return response
... | Akuma925/OtusPythonQAJune2020HomeWork | HomeWorkMock/doge.py | doge.py | py | 1,088 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number... |
74323754240 | from qgis.PyQt.QtCore import QSettings, QTranslator, QCoreApplication, Qt
from qgis.PyQt.QtGui import QIcon
from qgis.PyQt.QtWidgets import QAction, QTreeWidgetItem
# Initialize Qt resources from file resources.py
from .resources import *
# Import the code for the DockWidget
from .plugin_compiler_dockwidget import Plu... | CyprienAn/PluginCompiler | plugin_compiler.py | plugin_compiler.py | py | 22,186 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "qgis.PyQt.QtCore.QSettings",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.join"... |
40915225432 | """Python process Django Models."""
import json
import os
from pathlib import Path
from typing import Any, Dict, List, MutableMapping, Optional, Type
from .communicator import communicator
from .fields import (
BooleanField,
DateTimeField,
Field,
IntegerField,
JsonField,
ListField,
Relation... | gregorjerse/resolwe | resolwe/process/models.py | models.py | py | 19,131 | python | en | code | null | github-code | 97 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "communicator.communicator.get_user_model_label",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "communicator.communicator",
"line_number": 27,
"usage_t... |
32189053733 | import os
import numpy as np
import pickle
import config
import sys
import run_experiments as run
import compute as comp
def get_results(para_setup):
name_string = '%s-' * len(para_setup) # % para_setup
name_string = name_string[:-1]
folder_name = config.home_path + config.interim_result_path
file_... | guenwi/J-PCMCIplus | metrics.py | metrics.py | py | 7,149 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "config.home_path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "config.interim_result_path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "num... |
73875280958 | from testsuite.base_fs import BaseFilesystem
from testfixtures import log_capture
from testsuite import config
from core.sessions import SessionURL
from core import modules
from core import messages
import subprocess
import datetime
import logging
import os
class FileCheck(BaseFilesystem):
def setUp(self):
... | zhl2008/ctf-framework | utils/weevely3/testsuite/test_file_check.py | test_file_check.py | py | 4,479 | python | en | code | 21 | github-code | 97 | [
{
"api_name": "testsuite.base_fs.BaseFilesystem",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "core.sessions.SessionURL",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "core.modules.load_modules",
"line_number": 16,
"usage_type": "call"
},
{
... |
35110676182 | import os, os.path, sys
import h5py
import numpy as np
import pickle as pkl
from configs_genre import gen_config as genre_config
from configs_gender import gen_config as gender_config
from configs_year import gen_config as year_config
from models.ann import Classifier
from models.cnn import CNNClassifier
from feature... | Alroomi/Song-Classification | demo.py | demo.py | py | 6,694 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "configs_year.gen_config",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "configs_year.gen_config",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "configs_genre.gen_config",
"line_number": 19,
"usage_type": "call"
},
{
"api_name... |
41185960483 | import environs
env = environs.Env()
env.read_env("./.env")
TOKEN = env.str('TOKEN')
API_HASH = env.str('API_HASH')
API_ID = env.int('API_ID')
ADMIN_CHATID = env.int('ADMIN_CHATID')
ADMIN_USERNAME = env.str('ADMIN_USERNAME')
db_name = env.str('DB_NAME')
modules_repo_branch = env.str('MODULES_REPO_BRANCH', 'master')
| deadboizxc/example-userbot | utils/config.py | config.py | py | 320 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "environs.Env",
"line_number": 3,
"usage_type": "call"
}
] |
73069611519 | from pyfiglet import Figlet
import sys
import random
figlet = Figlet()
if (
len(sys.argv) == 3
and (sys.argv[1] == "-f" or sys.argv[1] == "--font")
and sys.argv[2] in figlet.getFonts()
):
figlet.setFont(font=sys.argv[2])
elif len(sys.argv) == 1:
figlet.setFont(font=random.choice(f... | jdcsjdcs/Python-CS50 | python-cs50/figlet/figlet.py | figlet.py | py | 433 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pyfiglet.Figlet",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
19218234146 |
import sys
import signal
import subprocess
try: import argparse
except: print('argparse required, run: pip install argparse'); sys.exit(1)
#global variables------------------------------------------------------------------
current_version = '0.1'
outgoing_open_ports = []
process = None
#---... | glezo1/out_firewalking | server/out_firewalking_server.py | out_firewalking_server.py | py | 3,926 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.exit",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number"... |
33245400551 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from django.http import HttpResponse
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
from models import Users
import json
import os
import example as e
#########################... | Minor-Navigation/Django | app1/views.py | views.py | py | 8,921 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "example.rtree",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "django.views.decorators.csrf.csrf_exempt",
"line_number": 59,
"usage_type": "name"
},
{
"a... |
36490309887 | def separator():
chars = "#"
for i in range(100):
chars += "#"
print(chars)
late = False
if late:
print(1)
else:
print(0)
separator()
income = 15000
if income < 10000:
tax_coefficient = 0.0
elif income < 30000:
tax_coefficient = 0.2
elif income < 100000:
tax_coefficent = 0.3... | slackfx/learningpython | learning_python/conditionals.py | conditionals.py | py | 3,258 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.date.today",
"line_number": 142,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 142,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 143,
"usage_type": "call"
}
] |
18616344004 | import yaml, os, re
from code_generator import CodeGenerator
from config import config
from constants import *
class ConversionGenerator():
def __init__(self) -> None:
self.project_path = config['conversionInfo']['projectPath']
self.crds = None
self.get_crds()
os.chdir(self.project_... | Kuromesi/APIUpdater | conversion_generator.py | conversion_generator.py | py | 8,007 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "config.config",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.chdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
... |
24653360320 |
from django.contrib import admin
from django.urls import path, include
from . import views
urlpatterns = [
path('home', views.home, name = 'home'),
path('signup', views.signup, name = 'signup'),
path('signin', views.signin, name = 'signin'),
path('signout', views.signout, name = 'signout'),
path(... | pawaskarmahesh/Mini-Project-1B-2022-23 | Group No.8_Mini-project/Mini-Project/authentication/urls.py | urls.py | py | 595 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
32511299546 | import pandas as pd
from datetime import datetime
df = pd.read_csv('https://query.data.world/s/tt5efa64gl6ruwmxz4wdgmhfwroi4r',
usecols=['longitude', 'latitude', 'region', 'admin1', 'location',
'event_type', 'fatalities', 'event_date'])
print('Loading in dataset from data.wo... | TifMoe/visualizing_conflict | src/make_data.py | make_data.py | py | 771 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
}
] |
12309676620 | import json
import configparser
import os
import requests
from pathlib import Path
import sqlite3
import pandas
from math import ceil
import datetime
class SearchAnalyzer():
session = requests.Session()
__BASE_API_URL = 'https://line.pr-cy.ru/api/v1.1.0'
low_price = 0.25
high_price = 0.3
__tasks... | STEJKpro/pr-cy_SEARCH_domain_analyzer | analyzer_service.py | analyzer_service.py | py | 21,617 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.Session",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
18841026287 | """Spotitude.
Get a user's top 25 tracks and return a 5x5 grid visualization.
"""
from config import Config
from data import get_top_tracks
import spotipy
from visualization import make_visualization
import argparse
import gui
if __name__ == "__main__":
# Parse the input parameters.
parser = argparse.Argumen... | dtcrout/spotitude | spotitude.py | spotitude.py | py | 1,369 | python | en | code | 18 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "config.Config",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "config.get_token",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "spotipy.Spotif... |
21057451756 | # -*- coding: utf-8 -*-
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth.views import LoginView
from django.shortcuts import render, redirect
from .models import Contact
from .forms import ContactForm
template = 'core/'
class CustomAuthenticationForm(AuthenticationForm):
"""Defin... | gjohann7/chatbotapp | chatbotapp/core/views.py | views.py | py | 2,223 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.contrib.auth.forms.AuthenticationForm",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.views.LoginView",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "forms.ContactForm",
"line_number": 57,
"usage_type": "ca... |
25931118437 | import pickle
import PIL
from PIL import Image
import numpy as np
import os
# for letter in ['o','p','q','r','s','u']:
for letter in ['a','b','c','e','g']:
samples = len([f for f in os.listdir('./Letters/'+letter+'/') if f[-5:] == ".jpeg"])
databasename='./Letters/'+letter+'/'+letter+'_vector.p'
database=[]
for i... | methi1999/scribble | Preprocessing/4jpegtovector.py | 4jpegtovector.py | py | 627 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 1... |
29747087875 | from django.conf.urls import patterns, include, url
from django.contrib import admin
urlpatterns = patterns('',
# Examples:
url(r'^$', 'agilecar.views.index', name='index'),
# url(r'^blog/', include('blog.urls')),
url(r'^admin/', include(admin.site.urls)),
url(r'^jobposting/', include('jobposting.... | cainhicks/agilecar | agilecar/urls.py | urls.py | py | 751 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "djan... |
8220968078 | import config
import hashlib
import app
class Edit:
def __init__(self):
pass
'''
def GET(self, id_denuncia, **k):
if app.session.loggedin is True: # validate if the user is logged
# session_username = app.session.username
session_privilege = app.session.privile... | GabiCuriel/SavingLifes | application/controllers/denuncia/edit.py | edit.py | py | 2,951 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "config.check_secure_val",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "config.model.get_denuncia",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "config.model",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "c... |
3821177178 | import copy
import os
from collections import OrderedDict
from logging import getLogger
from time import time
import numpy as num
import theano.tensor as tt
from pymc3 import Deterministic, Uniform
from pyrocko.gf import LocalEngine, RectangularSource
from theano import config as tconfig
from theano import shared
from... | hvasbath/beat | beat/models/geodetic.py | geodetic.py | py | 39,976 | python | en | code | 120 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "beat.models.base.Composite",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
74825422400 | from typing import Any, Union
from prometheus_client import Counter, Histogram
from metrics.event import Event
class SampleEvent(Event):
LABELS = ["error"]
METRICS = {
"result": Counter("sample_result", "sample result", LABELS),
"latency": Histogram(
"sample_latency",
... | jakyns/prometheus-client-python | metrics/event/sample_event.py | sample_event.py | py | 691 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "metrics.event.Event",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "prometheus_client.Counter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "prometheus_client.Histogram",
"line_number": 12,
"usage_type": "call"
},
{
"api_name... |
40908799028 | #!/usr/bin/python
import sys
import argparse
from netaddr import *
def main(args):
parser = argparse.ArgumentParser(description='Check if ip(s) in range(s) --- don\'t use -i and -I or -r and -R')
igroup = parser.add_mutually_exclusive_group(required = True)
igroup.add_argument('-i', '--ip', help='ip to... | AccentureTVM/Python-check-IPs-in-Ranges | ipCIDR.py | ipCIDR.py | py | 3,068 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number"... |
13033181793 | """tox-pyenv
Plugin for the tox_get_python_executable using tox's plugin system:
https://testrun.org/tox/latest/plugins.html#tox.hookspecs.tox_get_python_executable
Modified to instead use `pyenv which` to locate the
appropriate python executable. This takes the place
of the standard behavior in tox. The built-i... | tox-dev/tox-pyenv | tox_pyenv.py | tox_pyenv.py | py | 4,877 | python | en | code | 127 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "py.path.local.sysfind",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "py.path",
"line_number": 80,
"usage_type": "attribute"
},
{
"api_name": "subprocess.Popen... |
71308864640 | import tensorflow as tf
from skimage import transform as tr
from skimage import io
import pandas as pd
import numpy as np
import re
import netv2 as net
#fetch data
def datFetch(dat, path, batch_size, iteration = 0, offset = 0, aug_chance = 0.3, load_box = True):
imgs = []
bboxes = []
categories = []
... | l3th4l/TFObjectLocalization | trainops.py | trainops.py | py | 2,825 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "skimage.io.imread",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "numpy.random.uniform",
"... |
30642292932 | from django.http import HttpResponse
from django.core.serializers import serialize
import json
from django.shortcuts import render
class HttpResponseMixin(object):
def render_to_Http_response(self,json_data,status=200):
return HttpResponse(json_data,content_type='application/json',status=status)
class Seri... | sachinkumar7277/OTP_Based_Login_API | restAPI/mixins.py | mixins.py | py | 915 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.core.serializers.serialize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "... |
43869910670 | import toml
def parse_toml_to_venv_script(file_path: str, python_version="3.10.12", env_name="myenv") -> str:
"""
Convert a TOML configuration to a bash script that sets up a python environment using venv and performs actions based on the TOML.
Parameters:
- file_path: The path to the TOML file.
... | romlingroup/flatpack-ai | package/flatpack/flatpack/parsers.py | parsers.py | py | 5,364 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "toml.load",
"line_number": 29,
"usage_type": "call"
}
] |
73395788798 | """
N layers optimistic neural network
"""
import torch
class ThreeLayersNN(torch.nn.Module):
def __init__(self, in_dim, out_dim, h_dim, activation='relu'):
"""
:param in_dim: (int) input dimension
:param out_dim: (int) output dimension
"""
super(ThreeLayersNN, self).__in... | erwanlecarpentier/optimistic-regressor | models/three_layers_nn.py | three_layers_nn.py | py | 956 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Linear",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Linear",
"lin... |
30291296391 | from pyVmomi import vim
from vmwarelib import inventory
from vmwarelib.actions import BaseAction
class VMRemove(BaseAction):
def run(self, vm_id, delete_permanently, vsphere=None):
"""
Remove virtual machine from vsphere
Args:
- vm_id: Moid of Virtual Machine to edit
- v... | StackStorm/st2contrib | packs/vsphere/actions/vm_hw_remove.py | vm_hw_remove.py | py | 1,052 | python | en | code | 154 | github-code | 97 | [
{
"api_name": "vmwarelib.actions.BaseAction",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "vmwarelib.inventory.get_virtualmachine",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "vmwarelib.inventory",
"line_number": 25,
"usage_type": "name"
},
{... |
73843164158 | from datetime import datetime, timedelta
from io import BytesIO
from PIL import Image
from ebedke.utils.date import on_workdays, days_lower
from ebedke.utils.utils import ocr_image, pattern_slice
from ebedke.utils import facebook
from ebedke.utils.text import skip_empty_lines
from ebedke.pluginmanager import EbedkePlug... | ijanos/ebedke | ebedke/plugins/kerova.py | kerova.py | py | 1,437 | python | en | code | 34 | github-code | 97 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ebedk... |
19961529650 | from discord.commands import slash_command, SlashCommandGroup, Option
from discord.ext import commands as ext_commands
from discord import Permissions
import discord
import commands
import common
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from BadWolfBot import BadWolfBot
EMPTY_CHAR = '\u200b'
allowed = ... | BadWolf1023/MKW-Table-Bot | slash_cogs/AdminSlashCommands.py | AdminSlashCommands.py | py | 4,499 | python | en | code | 11 | github-code | 97 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "common.botAdmins",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "common.OWNERS",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "common.i... |
17805849732 | #!/usr/bin/python
import tempfile, argparse
import os, sys, random, hashlib
from pathlib import *
from encrypt import encrypt_line, save_key, encrypt_line_v2
from decrypt import decrypt_line, find_key, delete_key_file, decrypt_line_v2
from webpage import create_webpage
def hash(text):
result = hashlib.sha... | hg387/CustomRansomware | Walker.py | Walker.py | py | 4,541 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "hashlib.sha256",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.access",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.W_OK",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.R_OK",
"line_number": 22... |
27812956353 | # This code have been programmed by Christian Blad, Sajuran and Søren Koch aka. Group VT4103A
# The reinforcement learning framework is based on the original code from udemy course https://www.udemy.com/artificial-intelligence-az/
# From Aalborg University
# Importing the libraries
import numpy as np
import torch
impo... | qLience/AI-Pump-for-Underfloor-Heating-systems | models/eligibility_trace_torch/ai.py | ai.py | py | 5,273 | python | en | code | 35 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.nn.functional.softmax",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.nn.fu... |
34658618948 | # -*- coding: utf-8 -*
import re
import argparse
def parse_args():
parser = argparse.ArgumentParser(
description="Paddle Fluid word2 vector preprocess")
parser.add_argument(
'--data_path',
type=str,
required=True,
help="The path of training dataset")
parser.add_arg... | Micheal0001/models | fluid/PaddleRec/word2vec/preprocess.py | preprocess.py | py | 4,984 | python | en | code | null | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 36,
"usage_type": "call"
}
] |
72487496640 | import os
import urllib
from osgeo import ogr
import folium
def get_bbox(geom):
return '{0},{1},{2},{3}'.format(*geom.GetEnvelope())
def get_center(geom):
centroid = geom.Centroid()
return [centroid.GetY(),centroid.GetX()]
def get_state_geom(state_name):
# C:\Users\Fabio\Documents\Programmazione\Pych... | geosconsulting/geoprocessing | ch4/WFS_Read.py | WFS_Read.py | py | 2,023 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "osgeo.ogr.Open",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "osgeo.ogr",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "urllib.urlencode",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlencode",
... |
38233160889 | import ROOT
import numpy as np
import time
from utils import get_leadjets, \
get_cells, get_truth_parts, topo_cluster_in_jets, \
map_cells, nb_of_truth_parts, map_truth_parts, \
get_tracks
from base import DatasetBase
class DatasetRoot(DatasetBase):
"""
Generator of clusters from root tree
"""... | guillaumegenthial/clusters | src/core/dataset/root.py | root.py | py | 3,302 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "base.DatasetBase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "base.DatasetBase.__init__",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "base.DatasetBase",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "ROOT.TFil... |
13336239882 | """palyapp URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-ba... | cproctor/palyapp_server | palyapp/urls.py | urls.py | py | 3,666 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rest_framework_extensions.routers.ExtendedDefaultRouter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "rest_framework_extensions.routers",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "stories.views.PublicationViewSet",
"line_number": 2... |
11969324371 | #dot
import numpy as np
import pygame
import constants
import time
display_width = constants.display_width
display_height = constants.display_height
dot_width = constants.dot_width
dot_height = constants.dot_height
white = constants.white
black = constants.black
red = constants.red
max_moves = constants.max_moves... | sachin-101/NEAT | very easy game/dot.py | dot.py | py | 4,733 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "constants.display_width",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "constants.display_height",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "constants.dot_width",
"line_number": 10,
"usage_type": "attribute"
},
{
... |
102792871 | import sys
import time
import webbrowser
import pyttsx3
import speech_recognition as sr
import datetime
import os
import pyaudio
import wikipedia
from requests import get
import pyjokes
import pywikihow
from pywikihow import search_wikihow
import speedtest
engine = pyttsx3.init('sapi5')
voices = engine.getProperty... | Manu1234-design/jarvis | Jarvis.py | Jarvis.py | py | 3,943 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pyttsx3.init",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 33,
"usage_type": "call"
},
{
"api_name... |
20290008160 | from datetime import datetime, timedelta
from typing import List
from fastapi import Depends, HTTPException, status, Path, APIRouter
from sqlalchemy.orm import Session
from src.database.db import get_db
from src.database.model import Contact
from src.schemas import ContactResponse, ContactModel
router = APIRouter(pr... | MaksymBratsiun/Homework_web_11 | src/routes/contacts.py | contacts.py | py | 4,515 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "src.database... |
21050183412 | import time
from appium import webdriver
from appium.webdriver.extensions.android.nativekey import AndroidKey
from appium.webdriver.common.appiumby import By
caps = {
"platformName": "Android", # 声明是ios还是Android系统
"platformVersion": "11", # Android内核版本号
"deviceName": "Redmi_K30_Pro", # 连接的设备名称
"appPackage": "com.tencen... | 531207502/code_save | python-pc/appium/appium-test.py | appium-test.py | py | 1,871 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "appium.webdriver.common.appiumby.By.ID",
"line_number": 15,
"usage_type": "attribute"
},
{
... |
8255346359 | import os
import datetime
DEADTIME = 175
def getime (file, dir, t_result, start_time):
d_time = []
for i in range(2,139):
dirno = str(i)
newdir = dir + dirno
os.chdir(newdir)
times = open(file, 'r')
lines = times.readlines()
for line in lines:
if lin... | Saarikakumar/datetimeinfo | elapsed_time.py | elapsed_time.py | py | 1,248 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.chdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.chdir",... |
29509770652 | from functools import wraps
from django.http import Http404, HttpResponseRedirect
from django.conf import settings
def require_staff(protected_view):
@wraps(protected_view)
def wrapper(request, *args, **kwargs):
staff_token = settings.STAFF_TOKEN
token_auth = staff_token is not None and staf... | gpodder/mygpo | mygpo/administration/auth.py | auth.py | py | 703 | python | en | code | 257 | github-code | 97 | [
{
"api_name": "django.conf.settings.STAFF_TOKEN",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 19,
"usage_type": "call"
}... |
5778383599 | import sys
from collections import Counter
class Solution:
def minWindow(self, s: str, t: str) -> str:
left = 0
right = 0
start = 0
valid = 0
min_len = sys.maxsize
need = Counter(t)
window = Counter()
while right < len(s):
c = s[right]
... | baoyf4244/interviews | leetcode/sliding_window/0076_minimum_window_substring.py | 0076_minimum_window_substring.py | py | 949 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.maxsize",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "collections.Counter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.maxsize"... |
20489458291 | import httplib, urllib, base64, json
subscription_key = 'bd2a946f230b4f4faec329e9933ea477'
uri_base = 'westcentralus.api.cognitive.microsoft.com'
headers = {
# Request headers.
'Content-Type': 'application/json',
'Ocp-Apim-Subscription-Key': subscription_key,
}
params = urllib.urlencode({
# Request par... | cindyzhao/RaspBot | vision.py | vision.py | py | 948 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "urllib.urlencode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "httplib.HTTPSConnection",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
11629294919 | # -*- coding: utf-8 -*-
import torch.nn as nn
from torch import Tensor
#############################################1
#Create a class, extending the Module class of PyTorch
class MyCNNSystem(nn.Module):
def __init__(self, kernel_size_1=5, kernel_size_2=5, channel_1=20, channel_2=20, dropout=0.2):
... | contact-aleksei/1_year_Tampere_advanced_audio_processing | exercise_02/my_cnn_system_name.py | my_cnn_system_name.py | py | 2,482 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
20289142022 | #!/usr/bin/env python
import argparse
import logging as log
import os.path as osp
import sys
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Updates an Axon database'\
'without loading the GUI')
parser.add_argument('database', help='Database to update')
opts = parser.parse... | xgrg/alfa | axon/axon_database_update.py | axon_database_update.py | py | 896 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "brainvisa.axon.initializeProcesses",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "brainvisa.axon",
"line_number": 16,
"usage_type": "name"
},
{
"api_name... |
71046497279 | from project_crawl.share.models import Product
from project_crawl.share.utils import init_logging, print_line, get_settings, get_db_connect_string, is_env_production
from sqlalchemy import create_engine, select
from sqlalchemy.orm import Session
import scrapy
class ShopHpDetailSpider(scrapy.Spider):
name = "shop... | tion846/project_crawl | project_crawl/spiders/shop_hp_detail.py | shop_hp_detail.py | py | 2,526 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "scrapy.Spider",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "project_crawl.share.utils.get_settings",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "project_crawl.share.utils.init_logging",
"line_number": 36,
"usage_type": "call"... |
35977337694 | import re
import json
from urllib.parse import unquote
from bs4 import BeautifulSoup
import sys
import requests
# -*- coding: UTF-8 -*-
URL_List = []
ARTICLES = dict({})
ID = 0
def run(url):
parse_urls(get_soup(url))
def parse_urls(soup):
""" Searches for all links on Google News Search Page """
for a i... | reido2012/JapaneseArticleScraper | news.py | news.py | py | 6,539 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "sys.exit",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "urllib.parse.unquote",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
... |
20105326211 | from typing import Dict, List, Union, TypedDict
import logging
import pandas as pd
import numpy as np
import spacy
root_logger = logging.getLogger()
logger = root_logger.getChild(__name__)
def tokenize_expand_abbreviations(sent: spacy.tokens.Span, abrv_map: Dict) -> List[str]:
toks = []
for tok in sent:
... | h1-the-swan/bridger | dataprocess/src/bridger_dataprocess/core.py | core.py | py | 3,467 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "spacy.tokens",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "typing.Dict",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.List",
"lin... |
1790493532 | import tweepy
import os
class TweeterApi:
def __init__(self, username, dataDir, tweeterToken, side):
self.consumerKey = tweeterToken["consumer_key"]
self.consumerSecret = tweeterToken["consumer_secret"]
self.accessToken = tweeterToken["access_token"]
self.accessTokenSecret = tweet... | VictorMeyer77/tln_politics_debate | dataGen/tweeterApi.py | tweeterApi.py | py | 1,634 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_... |
42255665916 | import numpy as np
import skimage
from collections import deque
from keras import layers, models, optimizers
from game import wrapped_flappy_bird as flappy
DO_UP = 0
DO_NOTHING = 1
ACTIONS = [DO_NOTHING, DO_UP]
MAX_REPLAY_SIZE = 50000
OBSERVERATION = 3200
BATCH_SIZE = 100
EPSILON = 1.0
GAMMA = 0.95
epsilon = 1.0
... | ashutosh-dwivedi-e3502/deepq_flappy | model.py | model.py | py | 3,113 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.deque",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "skimage.color... |
72822599040 | ###Manages BOT ###
from os import EX_CANTCREAT
import telegram
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters, ConversationHandler
import mysql.connector
import os
#Telegram BOT API configuration - valid token hidden
TOKEN =os.environ.get('BOT_TOKEN')
#MySQL Database credential, hosted on f... | jacopobr/car-2-smart | telegrambot/bot.py | bot.py | py | 8,261 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_nu... |
21139230399 | from __future__ import annotations
import json
import re
from datetime import datetime
from logging import LoggerAdapter
from typing import Any, Dict
import paho.mqtt.client as mqtt
from oslo_log import log
from sqlalchemy.orm import Session
from dandelion import crud
from dandelion.db import session
from dandelion.... | open-v2x/dandelion | dandelion/mqtt/service/rsu/rsu_spat.py | rsu_spat.py | py | 2,973 | python | en | code | 36 | github-code | 97 | [
{
"api_name": "logging.LoggerAdapter",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "oslo_log.log.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "oslo_log.log",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "dandelion.m... |
71597415039 | import base64
import lzma
import multiprocessing
import multiprocessing.queues
import ssl
import textwrap
from difflib import unified_diff
from functools import lru_cache
from http.server import (
HTTPServer,
SimpleHTTPRequestHandler,
)
from json import dumps
from unittest import SkipTest
from unittest.mock imp... | datalad/datalad | datalad/tests/utils_pytest.py | utils_pytest.py | py | 67,748 | python | en | code | 464 | github-code | 97 | [
{
"api_name": "datalad.support.external_versions.external_versions",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "datalad.support.external_versions.external_versions",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "pytest.mark",
"line_number": 66,
... |
25348171258 | import matplotlib.font_manager as font_manager
import pandas as pd
FONT_PATH = "fonts/LinLibertine_R.ttf"
def add_missing_months(df):
# Erstelle einen leeren DataFrame mit allen Monaten des Jahres
all_months = pd.DataFrame({'month': range(1, 13)})
# Führe einen Left Join durch, um die fehlenden Monat... | NilsHellwig/Topic_Modelling_Twitter_German_Federal_Election_2021 | 03 Train Models/plots.py | plots.py | py | 6,188 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.DataFrame",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.font_manager.fontManager.addfont",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.font_manager.fontManager",
"line_number": 19,
"usage_type": "attri... |
74910985598 | import numpy as np
import pytest
from tests.test_mixed_integrator_numeric import _run_simulation
from tests.test_utils import _open_json
import odetoolbox
try:
import pygsl.odeiv as odeiv
PYGSL_AVAILABLE = True
except ImportError:
PYGSL_AVAILABLE = False
@pytest.mark.skipif(not PYGSL_AVAILABLE, reason="... | nest/ode-toolbox | tests/test_expression_simplification.py | test_expression_simplification.py | py | 2,215 | python | en | code | 14 | github-code | 97 | [
{
"api_name": "tests.test_utils._open_json",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "tests.test_mixed_integrator_numeric._run_simulation",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pygsl.odeiv.step_rk4",
"line_number": 34,
"usage_type": "... |
15505867367 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division
import numpy as np
import pygame
from pygame.locals import *
import sys
#####################################################################
# Hier die Zustandsvariablen initialisieren: Position und Geschwindigkeit
# des Spielers
#########... | iblech/mathezirkel-kurs | mathecamp-2016/mein-erstes-videospiel/stub.py | stub.py | py | 3,072 | python | de | code | 9 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_numb... |
16346298766 | import json
import logging
import os
import tempfile
from enum import Enum
from pathlib import Path
from typing import Dict, Tuple, List, Optional, Set
from PySide6 import QtCore
from PySide6.QtCore import QSettings
from coolero.models.lcd_mode import LcdMode
from coolero.models.lighting_mode import LightingMode
# no... | codifryed/coolero | coolero/settings.py | settings.py | py | 14,620 | python | en | code | 18 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
... |
28598460521 | # -*- coding:utf-8 -*-
# @Time : 2022/4/30 15:17
# @Author : quzhuo
import os
import numpy as np
import torch
import torch.utils.data as data
from PIL import Image
from Utils.utils_dataset import convert_from_color
class MyDataset(data.Dataset):
def __init__(self, dataset_path, dataset_name, num_c... | quzhuo19/SemanticSegmentation_v3 | dataset.py | dataset.py | py | 3,388 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",... |
16919510866 | import pygame
from pygame.math import *
from Fruit import Fruit, PhantomFruit
from Wall import Wall
import SnakeGame
class Snake(pygame.sprite.Sprite):
DIRECTION_UP = Vector2(-1, 0)
DIRECTION_DOWN = Vector2(1, 0)
DIRECTION_LEFT = Vector2(0, -1)
DIRECTION_RIGHT = Vector2(0, 1)
AXIS_VERTICAL = (DIRE... | brayden-meyer/snake | Snake.py | Snake.py | py | 8,700 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.sprite",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.lo... |
29248022887 | #
import cv2
import numpy as np
from matplotlib import pyplot as plt
import time
def show(name,img):
cv2.imshow(name, img)
cv2.waitKey(0)
cv2.destroyAllWindows()
MIN = 10
FLANN_INDEX_KDTREE = 0
starttime = time.time()
dir_root = r"D:\02dataset\01work\01TuoPanLJ\tuopan\0tmp_test3/"
img01_path = dir_root + "1... | LittleSheepy/MyMLStudy | ml06pyPackeg/pk02opencv/openCV练习/06特征拼接.py | 06特征拼接.py | py | 2,695 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "cv2.imshow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_numbe... |
24762832599 | from PIL import Image
im = Image.open("owl.jpeg")
pixels = im.load() # список с пикселями
x, y = im.size # ширина (x) и высота (y) изображения
for i in range(x):
for j in range(y):
r, g, b = pixels[i, j]
pixels[i, j] = g, b, r
im.save("owl1.jpeg")
| yapcix/python_lessons | libraries_2/model_example.py | model_example.py | py | 313 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "PIL.Image.open",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 3,
"usage_type": "name"
}
] |
34442068611 | from typing import Optional
from django.db import transaction, connection
from django.db.models import Subquery, QuerySet
from peoplefinder.models import Team, TeamTree
class TeamService:
def add_team(self, team: Team, parent: Team) -> None:
"""Add a team into the hierarchy.
Args:
t... | uktrade/peoplefinder-v2 | peoplefinder/services/team.py | team.py | py | 4,066 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "peoplefinder.models.Team",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "peoplefinder.models.TeamTree.objects.bulk_create",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "peoplefinder.models.TeamTree.objects",
"line_number": 17,
"usag... |
3802172327 | """
Webscrape
"""
import webscrape_def
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
# create a ChromeOptions object
chrome_options = webdriver.ChromeOptions()
# set the "detach" option to True
chrome_options.add_experim... | caleb-stahl/Stormglass_Surf | webscrape_main.py | webscrape_main.py | py | 1,017 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 17,
"usage_type": "call"
},
{
"api... |
1082528578 | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 6 11:07:23 2021
@author: Windows10
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
pd.set_option('display.max_columns', None)
path_spy = 'C:/Users/Windows10/Desktop/from old dell/Python_files/Daily_range_clo... | jaredalbert/random_stuff | Daily_range_close_study/daily_range_close_study.py | daily_range_close_study.py | py | 1,057 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.set_option",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.qcut",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"lin... |
26335527654 | """ opentrons_shared_data.labware.dev_types: types for labware defs
types in this file by and large require the use of typing_extensions.
this module shouldn't be imported unless typing.TYPE_CHECKING is true.
"""
from typing import Dict, List, NewType, Union
from typing_extensions import Literal, TypedDict
LabwareUr... | Opentrons/opentrons | shared-data/python/opentrons_shared_data/labware/dev_types.py | dev_types.py | py | 3,257 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "typing.NewType",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing_extensions.Literal",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing_extensio... |
15406549922 | import torch
import numpy as np
from pathlib import Path
from torch import nn as nn
from typing import Union, Callable
PathLike = Union[str, Path]
def to_numpy(x: torch.Tensor) -> np.ndarray:
if isinstance(x, float):
return x
return x.cpu().detach().numpy()
def inference_step(x: Union[np.ndarray, t... | stanislaushimovolos/Variational-Dropout-Pytorch | var_drop/utils.py | utils.py | py | 818 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Union",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_n... |
23938476762 | import unittest
from test.asyncio_tests import AsyncIOTestCase, asyncio_test
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Mapping, TypeVar, Union, cast
from bson import CodecOptions
from bson.raw_bson import RawBSONDocument
from bson.son import SON
from pymongo.operations import DeleteOne, InsertOne, R... | mongodb/motor | test/test_typing.py | test_typing.py | py | 9,889 | python | en | code | 2,245 | github-code | 97 | [
{
"api_name": "typing_extensions.TypedDict",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing_extensions.TypedDict",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "bson.ObjectId",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": ... |
27358069237 | from typing import List
class Solution:
def letterCombinations(self, digits: str) -> List[str]:
res=[]
l = len(digits)
store={
"2":["a","b","c"],
"3":["d","e","f"],
"4":["g","h","i"],
"5":["j","k","l"],
"6":["m","n","o"],
... | mkssri/competitive_programming | leetcode_fulltimes/2023/januarary/17_letter_combi_ph_nos.py | 17_letter_combi_ph_nos.py | py | 702 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
9478874027 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import matplotlib as mpl
mpl.rcParams['text.usetex'] = True
mpl.rcParams['animation.html'] = 'html5'
th = np.linspace(0,2*np.pi,1000)
fig, (ax1,ax2) = plt.subplots(1,2,figsize=(9,4))
ax2.plot(th,np.cos(th),color="b",label=r"... | elyurn/basic_animation | basic_animation.py | basic_animation.py | py | 1,204 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.p... |
16362874547 | """
The getting method of the category object of the API
"""
from fastapi import APIRouter, Body, Depends
from pydantic import BaseModel
from consys.errors import ErrorAccess, ErrorWrong
from models.category import Category
from services.auth import sign
from lib.queue import get
router = APIRouter()
class Type(B... | kosyachniy/web | api/routes/categories/get.py | get.py | py | 1,598 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "fastapi.Body",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "fastapi.Depends",
... |
23899522790 | # import openpyxl
# def server_find_from_excl(ws_name:str, col_i:int, find_val:str):
# sourceWB = openpyxl.load_workbook('E:/MyCode/networkWeb/device_list.xlsx')
# sourceWS = sourceWB[ws_name]
# retrun_info = list()
# for row in sourceWS.iter_rows(min_row=2, values_only=True):
# if row[c... | YSRpointNN/cq_2023_networkWEB | bin_/test.py | test.py | py | 997 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 23,
"usage_type": "call"
}
] |
34658390339 | __author__ = 'dengjingwen'
import nltk
import re
from nltk.tokenize.punkt import PunktSentenceTokenizer
from nltk.stem.wordnet import WordNetLemmatizer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.ensemble import RandomForestClassifier
fin = open('sentens_samples.txt', 'r')
texts = fin.rea... | FionaT/NLP-proj | previous_version/ML.py | ML.py | py | 1,935 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.punkt.PunktSentenceTokenizer",
"line_nu... |
31059832083 | # -*- coding: utf-8 -*-
from __future__ import division
import argparse, time, logging, random, math
import numpy as np
import mxnet as mx
from mxnet import gluon, nd
from mxnet import autograd as ag
from mxnet.gluon import nn
from mxnet.gluon.data.vision import transforms
from gluoncv.model_zoo import get_model
from g... | KiLJ4EdeN/DeepLearningFromScratch | Extras/transfer_resnet_cifar.py | transfer_resnet_cifar.py | py | 4,212 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "mxnet.cpu",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "gluoncv.model_zoo.get_model",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "mxnet.init.Xavier",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "mxnet.init",
... |
7927478368 | import os
from models.inference_model import InferenceModel
import config
import utils.utils as utils
import torch
import torchvision
import torchvision.transforms as transforms
from tqdm import tqdm
import argparse
# inference configurations #
network_name = 'female2male'
num_of_images = 6
use_saved_config = False ... | AlonShoshan10/dynamic_net | dynamic_dcgan/inference.py | inference.py | py | 2,311 | python | en | code | 48 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"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.join",
... |
24122973017 | # -----------------------------------------------------------------------------
# Air Resources Laboratory
#
# ashtrajectory.py - run HYSPLIT model on web and create plots
#
# 01 JUN 2020 (AMC) - adapted from locusts-run.py
# 28 FEB 2023 (AMC) - default is for 10 evenly spaced trajectories from vent to top height.
# --... | noaa-oar-arl/utilhysplit | ashapp/enstrajectory.py | enstrajectory.py | py | 4,114 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "ashapp.ashtrajectory.TrajectoryAshRun",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "utilhysplit.metfiles.gefs_suffix_list",
"line_number": 42,
"usage_type": "call"
... |
74359664958 | from math import hypot
from timeit import default_timer
import googlemaps
class Node:
"""
represents a node in a TSP tour
"""
def __init__(self, coords):
self.num = coords[0] # start position in a route's order
self.x = coords[1] # x coordinate/Lat
self.y = coords[2] # y coordinate/Lng
self.key = 'AIza... | chinruichew/EADSProject | 2opt_algo.py | 2opt_algo.py | py | 4,495 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "googlemaps.Client",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.hypot",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "timeit.default_timer",
"line_number": 152,
"usage_type": "call"
},
{
"api_name": "timeit.default_tim... |
1755894709 | #!/usr/bin/python
# -*- coding: utf-8 -*-
""" handler for an openssl ca """
from __future__ import print_function
import os
import json
import base64
import uuid
import re
from OpenSSL import crypto
# pylint: disable=E0401
from acme.helper import load_config, build_pem_file, uts_now, uts_to_date_utc, b64_url_recode, ce... | grindsa/acme2certifier | .github/openssl_ca_handler_v16.py | openssl_ca_handler_v16.py | py | 26,760 | python | en | code | 125 | github-code | 97 | [
{
"api_name": "os.path.exists",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "OpenSSL.crypto.load_privatekey",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "OpenSSL.cr... |
13611249302 | from bs4 import BeautifulSoup
import requests
def get_first_news():
headers = {
'user - agent': 'Mozilla / 5.0(Windows NT 10.0;Win64;x64) AppleWebKit / 537.36(KHTML, likeGecko) Chrome / 102.0.5005.63Safari / 537.36'
}
url = 'https://charter97.org/'
r = requests.get(url=url, headers=headers)
... | Yaraul1/Parsing-News-Bot | main.py | main.py | py | 558 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
}
] |
23143143288 | import math
import numpy as np
from PIL import Image
import torch
from torchvision import transforms
from ..utils.face_alignment import align_face
class Align:
def __init__(self, get_eyes_mouth):
self.get_eyes_mouth = get_eyes_mouth
def __call__(self, im: Image, points: np.ndarray):
e0, e1,... | florisdf/continuous_landmarks | continuous_landmarks/dataset/transforms.py | transforms.py | py | 4,189 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PIL.Image",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "utils.face_alignment.align_face",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.ar... |
8283370743 | # 가장 먼 노드
# 11 points
import collections
def solution(n, edge):
dic = collections.defaultdict(list)
for s, e in edge:
dic[s - 1].append(e - 1)
dic[e - 1].append(s - 1)
been = [False for i in range(n)]
q = [0]
cnt = 0
while len(q) > 0:
newq = set()
for node i... | dorahkim/programmers | Graph/furthest_node.py | furthest_node.py | py | 605 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
}
] |
74393326077 | try:
import requests, json, time, os, sys
from fake_useragent import UserAgent
except ImportError:exit(f"{hijau}[{merah}x{hijau}] {cyan}Module belum diinstall, install dengan perintah 'pip install requests fake_useragent'")
hijau = '\x1b[1;92m'
cyan = '\x1b[1;96m'
kuning = '\x1b[1;93m'
ungu = '\x1b[1;95m'
puti... | AbilSeno/spamsmsrupiahcepat | spam12.py | spam12.py | py | 3,029 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "fake_useragent.UserAgent",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_n... |
1624824502 | """
"""
from collections import defaultdict
import torch
from torch.utils.data import DataLoader
from torch.utils.data.sampler import RandomSampler
from ac.util import array_like_stack
def mt_collate_fn(batch_list):
""" Collate function for a multi-task dataset.
Assumes all inputs are the same size.
A... | geoffreyangus/analytic-continuation | ac/experiment/dataloaders.py | dataloaders.py | py | 1,966 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.defaultdict",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "ac.util.array_like_stack",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "ac.util.array_like_stack",
"line_number": 35,
"usage_type": "call"
},
{
"api_nam... |
1483290188 | import urllib.request
from bs4 import BeautifulSoup
import ssl
import json
# Ignore SSL cerificate errors(for HTTPS sites)
ctx = ssl.create_default_context()
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
url = input('Enter -')
# for HTTPS
html = urllib.request.urlopen(url, context=ctx).read()
# html = ur... | nightisyang/gitbook-grind75 | scripts/scraping.py | scraping.py | py | 792 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "ssl.create_default_context",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "ssl.CERT_NONE",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.request.urlopen",
"line_number": 13,
"usage_type": "call"
},
{
"api_na... |
5330724556 | # Data Libraries
import pandas as pd
import numpy as np
import datetime
import time
# Dash APP
import dash
from dash import html, dcc, dash_table as dt, Input, Output, State
import dash_bootstrap_components as dbc
from dash.exceptions import PreventUpdate
from components.navbar import *
from components.visualizations... | kaburelabs/marketing-app-prototype | app.py | app.py | py | 9,083 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dash_bootstrap_components.themes",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "dash.Dash",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "dash.... |
27079444500 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from flask import Flask
import os
import logg
import pandas as pd
import numpy as np
from pipeline import Model_Pipeline,CleaningTextData,FillingNaN,TfIdf
from sklearn.ensemble import GradientBoostingRegressor
import nltk
import ssl
import datetime
try:
_create_unveri... | pashaboyko/diplom | app/flask_app.py | flask_app.py | py | 3,776 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "ssl._create_unverified_context",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "ssl._create_default_https_context",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "nltk.download",
"line_number": 21,
"usage_type": "call"
},
... |
43045468752 | # explanations for member functions are provided in requirements.py
# each file that uses a Zip Tree should import it from this file.
from typing import TypeVar
import random
KeyType = TypeVar('KeyType')
ValType = TypeVar('ValType')
class Node:
def __init__(self, key: KeyType, val: ValType, rank: int):
... | fingalcong/261p | zip_tree.py | zip_tree.py | py | 4,286 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.TypeVar",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 29,
"usage_type": "call"
}
] |
16163596661 | from collections import defaultdict, Counter
def read_input(file_path: str) -> list[tuple[list[str], list[str]]]:
patterns_displayed_pairs = []
with open(file_path, 'r') as fp:
for line in fp.readlines():
patterns, displayed = line.split('|')
patterns = patterns.strip().split()... | NovelleP/AdventOfCode2021 | day8/day8_2.py | day8_2.py | py | 4,063 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "collections.defaultdict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "c... |
18642437006 | import datetime
from django.shortcuts import render, redirect
from .models import Request, Review
from .forms import AddRequest, AddUserForm
from django.contrib.auth.decorators import permission_required
from .forms import RegistrForm
from django.contrib.auth.decorators import login_required
# Create your views here.
... | OlgaLavyshyk/trucking | trucking/cargo/views.py | views.py | py | 4,437 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "forms.AddRequest",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.Request",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.date... |
74595392957 | """
Data-Store Models
and a couple things to basically automatically create an API from a Model
"""
from google.appengine.ext import ndb
import datetime
import json
import logging
def university_key(name):
return ndb.Key("University", name)
def course_id(dept, number):
return dept+str(number)
def course_key(key_i... | TheDoctor343/enigmatic-intelligence | models.py | models.py | py | 5,841 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "google.appengine.ext.ndb.Key",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "google.appengine.ext.ndb",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "google.appengine.ext.ndb.Key",
"line_number": 17,
"usage_type": "call"
},
{
... |
21097263790 | import os
import time
import argparse
import torch
import numpy as np
from PIL import Image
from torch.autograd import Variable
from torchvision import transforms
from nets import basic, depth_predciton, basic_NL, DGNLNet
from config import test_raincityscapes_path
from misc import check_mkdir
from skimage.metrics im... | ZixiaXia/SANL-Net | infer.py | infer.py | py | 9,009 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda.set_device",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
... |
75145117439 | import csv
import json
import logging
import pickle
from datetime import date
import pymysql
from flask import Flask, request, jsonify, \
send_from_directory
from flask_cors import CORS
from pymysql import cursors
logging.basicConfig(
format='%(asctime)s %(levelname)-8s %(message)s',
level=logging.DEBUG,
... | sabithsn/conv-moderator-v2 | annotation-site/annotation_website_tutorial/annotation_website/backend/app.py | app.py | py | 10,086 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
... |
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