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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
33901949330 | import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
from models import Seq2Seq
from train_test import train, test
from dataloader import load_data, collate_train, collate_test, transform_letter_to_index, Speech2TextDataset
DEVICE = 'cuda' if torch.cuda.is_available()... | Stevenhyh1/Introduction-to-deep-learning | Recitation/recitation10/main.py | main.py | py | 1,667 | python | en | code | 2 | github-code | 2 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.Seq2Seq",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.optim.Ad... |
71803002631 | import numpy as np
from scipy import ndimage
from libtiff import TIFF, TIFFfile, TIFFimage
from itertools import zip_longest
def grouper(iterable, n, fillvalue=None):
"Collect data into fixed-length chunks or blocks"
# grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx"
args = [iter(iterable)] * n
ret... | tbutyl/In-Vivo-Retinal-Imaging | time_filter/timeFilterSelective_MAC_alt.py | timeFilterSelective_MAC_alt.py | py | 2,678 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "itertools.zip_longest",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "libtiff.TIFFfile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.average",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.std",
... |
73143113325 | import tensorflow as tf
from utils.word2vec_dataload import Vocab
from utils.config import *
def article_to_ids(article_words, vocab):
ids = []
oovs = []
unk_id = vocab.word_to_id(Vocab.UNKNOWN_TOKEN)
for w in article_words:
i = vocab.word_to_id(w)
if i == unk_id: # If w is OOV
... | chargerKong/Text-summary-and-reasoning | seq2seq/batcher.py | batcher.py | py | 12,606 | python | en | code | 6 | github-code | 2 | [
{
"api_name": "utils.word2vec_dataload.Vocab.UNKNOWN_TOKEN",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "utils.word2vec_dataload.Vocab",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "utils.word2vec_dataload.Vocab.UNKNOWN_TOKEN",
"line_number": 23,... |
24590441607 | from datetime import datetime
from typing import Any, Dict, Optional, Type
from django import http
from django.db import models
from django.db.models.query import QuerySet
from django.forms.models import BaseModelForm
from django.shortcuts import render
from django.views import View
from .models import MaintainanceReco... | fengxue8076828/equipment_manager | maintainance/views.py | views.py | py | 11,646 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.views.View",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 35,
"usage_type": "attribute"
},
... |
3733507870 | import requests
from acesso_cep import BuscaEndereco
cep = '08280160'
objeto_cep = BuscaEndereco(cep)
bairro, cidade, uf = objeto_cep.acessa_via_cep()
r = requests.get('https://viacep.com.br/ws/08280160/json/')
print(r.text)
print(bairro)
print(cidade)
print(uf)
| VitorSirotenco/validacaobr | main.py | main.py | py | 305 | python | pt | code | 1 | github-code | 2 | [
{
"api_name": "acesso_cep.BuscaEndereco",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
}
] |
41428553345 | import pymysql
import requests
from time import sleep
from random import randint
from resources.Setting import *
from resources.Pretty import Pretty
class GanggutongSpider:
def __init__(self) -> None:
self.bankuai = "港股通"
self.tablename = self.bankuai + nowtime
self.link = "https://vip.stoc... | YEUNGWAIPANG/My-Python-Spider | Xinlangcaijing/Xinlangcaijing_docker/Xinlangcaijing/Spiders/GanggutongSpider.py | GanggutongSpider.py | py | 4,000 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "resources.Pretty.Pretty",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "random.randint",
... |
9763180616 | import numpy as np
import open3d as o3d
import os
import urllib.request
import gzip
import tarfile
import shutil
import time
import pdb
from scipy.spatial.transform import Rotation as Rot
def create_plane(center, normal, plane_size, axis_size = 0.03):
mesh = o3d.TriangleMesh()
quat = np.r_[normal,0]
e = ... | yuki-inaho/ransac-plane-fitting-and-visualization-with-o3d | main.py | main.py | py | 4,490 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "open3d.TriangleMesh",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.r_",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.cross",
"line... |
14228376322 | #!/usr/bin/env python3
from setuptools import setup, Extension
long_description='''\
MiniGraph is a simple, reasonably fast module for graph structures. It
is not very featureful, but easy to use for the common cases.'''
setup(
name='MiniGraph',
version='0.1',
description='A small Python module for worki... | goodmami/minigraph | setup.py | setup.py | py | 1,403 | python | en | code | 1 | github-code | 27 | [
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "setuptools.Extension",
"line_number": 37,
"usage_type": "call"
}
] |
15008616055 | from django.urls import path, include
from .views import *
# not for prod.
urlpatterns = [
path("", home_page, name='home'),
path('contact/', contact),
path('visa/e-visa/', e_visa, name='e_visa'),
path('visa/e-visa/order/', e_visa_order, name='e_visa_order'),
path('about/who-we-are/', who_we_are,... | KamilRAliyev/geo-travel-source | geotravel_app/urls.py | urls.py | py | 673 | python | en | code | 1 | github-code | 2 | [
{
"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",
... |
4880166014 | # aliyun
from urllib.parse import urlparse
import datetime
import base64
import hmac
import hashlib
import json
import urllib.request
import time
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
from io import BytesIO
ak_id = '<your server id>'
ak_secret = '<your server secret>'
def get_curr... | jylink/BMI-FGSM | aliyun.py | aliyun.py | py | 2,937 | python | en | code | 2 | github-code | 2 | [
{
"api_name": "datetime.datetime.strftime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 21,
"usage_type": "call"
},
{
"api_na... |
28105868437 | """
@author: Ema & Sofia
"""
import numpy as np
import tensorflow as tf
import keras
from keras.models import Sequential, Model
from keras.layers import Dense, Concatenate, Input
from keras import initializers
class Actor:
def __init__(self, state_size, action_size, seed, fc_units=256):
model = Seque... | EmaPajic/RL_walking | model.py | model.py | py | 2,033 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "keras.models.Sequential",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "keras.initializ... |
20426534443 | import serial, time, io, datetime
import serial.tools.list_ports
import warnings
from oxvent import OxVentLogger
from kbthread import KeyboardThread
from bronk import Bronk
millis = lambda: int(round(time.time() * 1000))
#test params
sample_length_millis = 2000
init_flow = 100
final_flow = 650
diff_flow = 50
... | tomfrankkirk/oxvent_dvt | ingest/ingest_gauge.py | ingest_gauge.py | py | 1,703 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "serial.tools.l... |
39327181586 |
# pacman imports
from pacman.model.routing_tables.multicast_routing_table import \
MulticastRoutingTable
from pacman.model.routing_tables.multicast_routing_tables import \
MulticastRoutingTables
from pacman import exceptions
# spinnMachine imports
from spinn_machine.multicast_routing_entry import MulticastRou... | Erzcoder/Spiking-Neural-Networks-on-Robotino | src/spinnaker_nn/venv/lib/python2.7/site-packages/pacman/operations/router_compressors/mundys_router_compressor/routing_table_condenser.py | routing_table_condenser.py | py | 4,637 | python | en | code | 3 | github-code | 2 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pacma... |
38414456846 | from uuid import uuid4
def create_db(list_data, post_data, db):
collection = db['crud_collect']
added_dict_id = {'_id': uuid4().hex}
added_dict_id.update(post_data)
if len(list_data) > 1:
if list_data['role'] == 'admin':
try:
collection.create_index('email', unique=... | YSKUMAR775/CRUD_MongoDB | package_data/create.py | create.py | py | 698 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "uuid.uuid4",
"line_number": 6,
"usage_type": "call"
}
] |
2343267447 | import light_version_abuse_packet as abusePack
from light_version_abuse_packet.metamask import Metamask
from light_version_abuse_packet.adspower_driver import Driver
from light_version_abuse_packet.adspowered import AdsPower
from selenium.webdriver.common.by import By
import time
import utils
import random
class Abu... | Xaint00ship/AZTEC | script.py | script.py | py | 5,753 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "light_version_abuse_packet.adspower_driver.Driver",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.common.by.By.CLASS_NAME",
"line_number": 26,
"usage_type"... |
41890843374 | from django.conf.urls import patterns, include, url
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.autodiscover()
from django.conf import settings
from registration.backends.default.urls import *
urlpatterns = patterns('',
(r'^accounts/', include('main.urls')),
(r... | zhoupeiling/Colibri | urls.py | urls.py | py | 1,890 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 11,
"usage_type": "call"
},
{
"ap... |
23686233085 | import neat
import pickle
from modules.GameAppManager import GameAppManager
# mainGame method of train file
# configuration of NEAT algorithm from file
def main():
global statistic_report
config = neat.config.Config(
neat.DefaultGenome,
neat.DefaultReproduction,
neat.DefaultSpeciesSet,... | Michal-Jankowski/Flappy-Bird-ML-NEAT | mainGame/Model.py | Model.py | py | 1,615 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "neat.config.Config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "neat.config",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "neat.DefaultGenome",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "neat.Defa... |
2060860729 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse as ap
from pathlib import Path
abbreviations = { # Necessary to keep file names below 100 characters! (Fixed in v3.11 of Pymultinest, but I use v3.10)
'Earthlike': 'EL',
'NonEarthlike': 'NEL',
'MantleOnly': 'MO',
'Default': 'D',
'Test... | andrewmbuchan4/PyllutedWD_Public | src/pwd_utils.py | pwd_utils.py | py | 2,339 | python | en | code | 2 | github-code | 27 | [
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 39,
"usage_type": "call"
}
] |
17946357134 |
import discord
from discord import app_commands
from bot import bot
from converter import convert_to_bs
def get_error_response():
return {
'embed': discord.Embed(
title='Error', description='Some error occured. Make sure the date is valid. Please try again.', colour=discord.Colour.red()),
... | anchalghale/date-discord-bot | commands.py | commands.py | py | 1,552 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "discord.Embed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.Colour.red",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discord.Colour",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "discord.Embed",
... |
22381548358 | """`formable.yielding.yield_stress.py`
Module containing:
- functions that calculate yield stress according to some yield point criterion.
- a class to represent yield point criteria of a given type
"""
import functools
import numpy as np
class YieldPointUnsatisfiedError(Exception):
pass
def get_yie... | LightForm-group/formable | formable/yielding/yield_point.py | yield_point.py | py | 6,083 | python | en | code | 2 | github-code | 27 | [
{
"api_name": "numpy.where",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 160,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number":... |
7766291649 | """На основе руководства из: https://www.youtube.com/watch?v=UQlUAmCnbzQ"""
import logging
import collections
import requests
import lxml
import csv
from bs4 import BeautifulSoup
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger('ld')
ParserResult = collections.namedtuple(
'ParserResult',
... | Alnipet/parsers | Lunda Parser/Parser.py | Parser.py | py | 3,478 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.... |
41399081883 | from django import forms
from django.core.exceptions import ValidationError
from protocol import Protocol
from protocol.constants import ProtocolType
from wallet.constants import WalletType
from wallet.models import Address, ExtendedPublicKey, UserWallet
def get_xpublic_key_or_address_form(MyModel, validate_func_nam... | rfreis/block-tracker | wallet/forms.py | forms.py | py | 4,131 | python | en | code | 57 | github-code | 27 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "protocol.Protocol",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.cor... |
25517372898 | import pytest
import allure
@allure.feature('Random dog')
@allure.story('Получение фото случайной собаки')
def test_get_random_dog(dog_api):
response = dog_api.get(path='breeds/image/random')
with allure.step('Запрос отправлен, посмотрим код ответа'):
assert response.status_code == 200, f'Неверный ко... | Babaevskiy/api_tests_with_allure | tests/test_dog_api.py | test_dog_api.py | py | 2,801 | python | ru | code | 0 | github-code | 27 | [
{
"api_name": "allure.step",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "allure.step",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "allure.feature",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "allure.story",
"line_number... |
35378277970 | from flask import Flask, render_template, request
from flask_mysqldb import MySQL
import json
app = Flask(__name__)
# We first specify the details of our sql server
app.config['MYSQL_HOST'] = '127.0.0.1'
app.config['MYSQL_USER'] = 'root'
app.config['MYSQL_PASSWORD'] = 'root'
app.config['MYSQL_DB'] = 'MyDB'
mysql = M... | raghavmta/CubeTest | Cube.py | Cube.py | py | 3,639 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask_mysqldb.MySQL",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
41443313553 | from typing import List
import torch
from recstudio.data import dataset, advance_dataset
from recstudio.model import basemodel, loss_func, module, scorer
from recstudio.ann import sampler
r"""
Paper Reference:
##################
Jing Li, et al. "Neural Attentive Session-based Recommendation" in CIKM 2017.
htt... | Xiuchen519/Amazon-KDDCUP-23 | RecStudio/recstudio/model/seq/narm.py | narm.py | py | 4,372 | python | en | code | 4 | github-code | 27 | [
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
11810886697 | import os
import csv
#import Tkinter as tk
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
def make_graph(filename, data):
x = []
y = []
for line in data:
n = float(line[0])
r = float(line[3])
x.append(n)
y.append(r**1.75/n)
ax = plt.axes()
ax.set_axisbelow(False)
plt.grid(axis='y... | nicfreeman1209/wall-fractals | dla/make graphs.py | make graphs.py | py | 735 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.axes",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyp... |
20148964106 | import numpy as np
import time
from autograd.numpy.numpy_boxes import ArrayBox
def adam_optimize(objective, params, jac, step_size=1e-2, Nsteps=100, bounds=None, direction='min', beta1=0.9, beta2=0.999, callback=None, verbose=True):
"""Performs Nsteps steps of ADAM minimization of function `objective` with gradien... | fancompute/ceviche | ceviche/optimizers.py | optimizers.py | py | 2,082 | python | en | code | 287 | github-code | 27 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "autograd.numpy.numpy_boxes... |
31388913820 | #!/usr/bin/python
import toml
import argparse
import os
program = argparse.ArgumentParser()
program.add_argument("--dry", type=bool, help="Only print what is going to be done", default=False)
program.add_argument("--set-version", type=bool, default=False, help="Sets version")
program.add_argument("--publish", type=bo... | kislball/ena | tools.py | tools.py | py | 1,986 | python | en | code | 2 | github-code | 27 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "toml.load",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "toml.load",
"line_numb... |
32641523079 | import wx
import wx.grid as gridlib
import copy
class TableGroup(wx.Panel):
"""
This is a 'TableGroup' object customized for HERE Linear Conflation
@:parameters
data: data array, example: [[value1,value2,value3...],[value_x,value_y,value_z...],[...]]
rowLabels: array, example: [name1,name2,name3...... | whzhang/here-linear-conflation | Install/components/TableGroup.py | TableGroup.py | py | 8,966 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "wx.Panel",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "wx.Panel.__init__",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "wx.Panel",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "wx.ID_ANY",
"line_nu... |
30606979427 | import readata as rd
import matplotlib.pyplot as plt
import numpy as np
import xarray as xr
# Cette routine sert à comparer l'évolution de la EKE au fil du couplage.
# Les output : des plot de la EKE au fil du temps.
## === GENERAL PARAMETERS :
# --- Physical parameters :
hek = 40
f = 7.0e-5... | charli1213/Modele-shallow-water-multicouches | analyse-python/8pannels_RHSdE_RECOU.py | 8pannels_RHSdE_RECOU.py | py | 7,500 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "readata.readat",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "xarray.Dataset",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "readata.im",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "readata.jp",
"line_numbe... |
40183274412 | from .db import db, environment, SCHEMA, add_prefix_for_prod
from datetime import datetime
from flask_sqlalchemy import SQLAlchemy
class Message(db.Model):
__tablename__ = 'messages'
if environment == "production":
__table_args__ = {'schema': SCHEMA}
# Columns
id = db.Column(db.Integer, primar... | BoJamesH/tumult-project | app/models/message.py | message.py | py | 1,468 | python | en | code | 3 | github-code | 27 | [
{
"api_name": "db.db.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "db.db",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "db.environment",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "db.SCHEMA",
"line_number": 9,
... |
33527119502 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup
dev_requires = [
"flake8>=2.2.0",
"pytest>=2.6.0",
]
setup(
name="Montanus",
version="0.0.1",
description="A tool for managing static files version for CDN requirements",
author="Le Wang",
author_email="thisiswangl... | lewangdev/montanus | setup.py | setup.py | py | 943 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "setuptools.setup",
"line_number": 11,
"usage_type": "call"
}
] |
18858428457 | from bubblebuster.link import Link, LinkMan
from bubblebuster.image import ImageMan, ImageNames
from bubblebuster.timer import ClickExplodeCommand, TimerMan
from bubblebuster.group import GroupNames, GroupMan
from bubblebuster.sprite import BoxSpriteMan, BoxSpriteNames
from bubblebuster.settings import InterfaceSetting... | abergie5b/BubbleBuster | bubblebuster/weapon/weapon.py | weapon.py | py | 5,900 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "enum.Enum",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "bubblebuster.link.Link",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "bubblebuster.image.ImageMan.instance.find",
"line_number": 27,
"usage_type": "call"
},
{
"api_na... |
32953059986 | #!/usr/bin/env python
'''
===============================================================================
Draw Rectangle using left mouse button
Key 'n' - To update the segmentation
Key 'r' - To reset the setup
Key 's' - To save the results
===============================================================================... | jeetv/Computer_Vision | Assignment_3/grabcut.py | grabcut.py | py | 12,400 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "cv2.EVENT_LBUTTONDOWN",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "cv2.EVENT_MOUSEMOVE",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "cv2.rectangle",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "cv2... |
26803012667 | import numpy as np
import tensorflow as tf
import random as rn
import os
from scipy.stats import sem, t
import numpy as np
import pandas as pd
import shutil
#Load Parameters
import utils.parameters as params
FIXED_PARAMETERS = params.load_parameters()
#Set Seeds for Reproducability
os.environ['PYTHONHASHSEED']=str(i... | sharford5/Cardiac-Arrest-Community | grid_search.py | grid_search.py | py | 2,282 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "utils.parameters.load_parameters",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.parameters",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "num... |
34421735678 | import tqdm
import time
import random
from math import sqrt
from secrets import randbelow
TIME_THRESHOLD = 5
OUTPUT_FILE = "aufgabe_1.txt"
def probedivision(n: int) -> bool:
wurzel = int(sqrt(n))
for i in range(2, wurzel + 1):
if n % i == 0:
return False
return True
def ... | pbusenius/Modul_28 | tag_1/aufgabe_1.py | aufgabe_1.py | py | 2,251 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "math.sqrt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "secrets.randbelow",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": ... |
73768978312 | # -*- coding: utf-8 -*-
# @Author: Bin Liu
# @Date: 2018-06-18 14:32:27
# @Last Modified by: Bin Liu
# @Last Modified time: 2018-06-20 13:51:51
# @E-mail: monster910818@gmail.com or monster910818@163.com
# 导入环境和学习方法
from .env import ArmEnv
from Mechanical_arm.rl import DDPG
# 设置全局变量
MAX_EPISODES = 500
MAX_EP_STEPS =... | Monster910818/Robin.M | Mechanical_arm/Mechanical_arm/main.py | main.py | py | 1,874 | python | zh | code | 0 | github-code | 27 | [
{
"api_name": "env.ArmEnv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "env.state_dim",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "env.action_dim",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "env.action_bound",
... |
73163494151 | import tensorflow as tf
from tensorflow import keras
import numpy as np
import xarray as xr
def normalise_data(data, mu=None, std=None, dims=None):
'''
Normalise the data in an xarray dataset
'''
if mu is None and std is None:
if not dims:
dims = lis... | samimiaari95/magicalbox-python | FFANN_example.py | FFANN_example.py | py | 11,022 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "os.path.join",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4... |
37751371760 | import numpy as np
from sklearn.gaussian_process.kernels import RBF
from sklearn.gaussian_process import GaussianProcessRegressor
import matplotlib.pyplot as plt
class Kernel:
def calculate_kernel(self, sca_l, train_X, train_y, test_X):
ker = RBF(length_scale=sca_l, length_scale_bounds='fixed')
... | GANDUWARD/AI-in-Python | Gaussian_regression/K.py | K.py | py | 901 | python | en | code | 1 | github-code | 27 | [
{
"api_name": "sklearn.gaussian_process.kernels.RBF",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.gaussian_process.GaussianProcessRegressor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 13,
"usage_type": "call"... |
15082655764 | import yt_dlp
import re
def download_video(url):
ydl_opts = {
"format_sort": "360",
"live-from-start": False,
"force-overwrites": True,
"continue_dl": True,
"skip-unavailable-fragments": True,
"outtmpl": "./tmp/%(id)s.%(ext)s",
}
with yt_dlp.YoutubeDL(ydl_o... | franz101/assemblyai | api/tube2blog/downloader2.py | downloader2.py | py | 711 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "yt_dlp.YoutubeDL",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 21,
"usage_type": "call"
}
] |
228607496 | import requests
import json
from getenv import env
import datetime
class Quandl:
def __init__(self):
self.libor_url = 'https://www.quandl.com/api/v1/datasets/FED/RILSPDEPM01_N_B.json?auth_token='
self.api_key = env('QUANDL_API_KEY')
def get_all_libor_rates_and_dates(self):
response = ... | mattbrosenberg/ltt | project/libor/quandl.py | quandl.py | py | 842 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "getenv.env",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 19,
"usage_type": "call"
}
] |
19688277067 | import pygame
pygame.init()
window = pygame.display.set_mode((800,600))
pygame.display.set_caption("Window")
black = (0,0,0)
white = (255,255,255)
image=pygame.image.load("C:/Users/Kwaku/Documents/Uni Work/FINAL YEAR PROJECT/python code/pygame tut/pygameimages/images/python_logo.png").convert_alpha()
gameLoop=Tr... | k-ankobia/RC-Self-Driving-Car | python Tutorials/pygame tut/pygameimages/images.py | images.py | py | 541 | python | en | code | 2 | github-code | 2 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
7829533360 | from typing import Dict, Optional
from promptrix.promptrixTypes import PromptMemory, PromptFunctions, Tokenizer
from promptrix.Prompt import Prompt
from alphawave_agents.SchemaBasedCommand import SchemaBasedCommand
from alphawave_agents.SchemaBasedCommand import CommandSchema as sbcCommandSchema
from alphawave_agents.a... | bdambrosio/llmFunctions | tests/testSchema.py | testSchema.py | py | 948 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "alphawave_agents.SchemaBasedCommand.CommandSchema",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 9,
"usage_type": "name"
},
{
... |
29364401178 | from celery import task
from datetime import datetime
from API.models import APIKey, MemberAPIKey, SSORefreshToken
from Map.models import System
from core.models import Type
from core.utils import get_config
from API.utils import sso_refresh_access_token, crest_access_data, esi_access_data, sso_access_list, api_current... | evewspace/eve-wspace | evewspace/API/tasks.py | tasks.py | py | 4,199 | python | en | code | 86 | github-code | 27 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "celery.task",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": ... |
31337384367 | """
Implements attention operations for RL^2 agents
"""
import functools
import torch as tc
@functools.lru_cache
def sinusoidal_embeddings(src_len, d_model, reverse=False):
pos_seq = tc.arange(src_len)
inv_freq = 1 / (10000 ** (tc.arange(0, d_model, 2) / d_model))
sinusoid_input = pos_seq.view(-1, 1) * ... | lucaslingle/pytorch_rl2 | rl2/agents/architectures/common/attention.py | attention.py | py | 12,328 | python | en | code | 44 | github-code | 27 | [
{
"api_name": "torch.arange",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.arange",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.sin",
"line_number": 15... |
36944710885 | from textual.app import App, ComposeResult
from textual.widgets import Header, Footer, Button, Static
from textual.containers import Container
class TimeDisplay(Static):
pass
class StopWatch(Static):
def compose(self) -> ComposeResult:
yield Button("Start", id="start", variant="success")
yie... | oussamadz/ebay_scraper_tui | main.py | main.py | py | 1,513 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "textual.widgets.Static",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "textual.widgets.Static",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "textual.widgets.Button",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "t... |
71641611256 | #!/usr/bin/env
# coding:utf-8
"""
Created on 2019/5/15 16:42
base Info
"""
__author__ = 'xx'
__version__ = '1.0'
import os
import torch
import torch.nn as nn
from torch.nn.parameter import Parameter
import torch.nn.functional as F
from data_loader import Cora
from model_component.utils.agg_softmax import softmax
fr... | XxSear/high-order-graph-convolution-network | model_component/conv/gcn_conv_input_list.py | gcn_conv_input_list.py | py | 3,089 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "torch.nn.Module",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "torch.nn.parameter.Parameter",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.Tens... |
17067286571 | import plotly
import pandas as pd
from plotly.graph_objs import Bar
def return_figures(df):
"""
Function creates visualization out of DisasterResponse database using plotly and return figures
in the form of list.
Parameters:
-----------
df : dataframe out of which plotly visualiza... | Piyush23Rai/DisasterResponse | app/data_visualization.py | data_visualization.py | py | 2,242 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "plotly.graph_objs.Bar",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs.Bar",
"line_number": 61,
"usage_type": "call"
}
] |
564155407 | import tensorflow as tf
from tensorflow.keras.layers import (Activation, Concatenate, Conv2D, Reshape)
from typing import List
from .block import anchor_detect_head_block
from .layer import AnchorBoxes
class AnchorDetectHead(tf.keras.Model):
def __init__(self,
n_classes: int,
ima... | solarfresh/solartf | solartf/objdetector/graph.py | graph.py | py | 4,368 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "tensorflow.keras",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "block.anchor_detect_head_block",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "tenso... |
14786365817 | import statistics
import pygame
from pygame import Vector2
from TD.config import SCREEN_RECT
from TD.editor import gui
from TD import paths
from .gui_group import PanelGUIGroup
from TD.editor.globals import current_scene
from .utils import validate_txt_point
class Transforms(PanelGUIGroup):
def __init__(self, ... | chrisrossx/TotalDestruction | TD/editor/level_scene/level_paths/transforms.py | transforms.py | py | 8,856 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "gui_group.PanelGUIGroup",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "TD.editor.gui.Label",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "TD.editor.gui",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "TD.editor.g... |
4133871565 | '''
Maximum sum of Non-adjacent nodes
Given a binary tree with a value associated with each node, we need to choose a subset of these nodes such that sum of chosen nodes is maximum under a constraint that no two chosen node in subset should be directly connected that is, if we have taken a node in our sum then we can... | Dharm3438/GFG_problem_of_the_day | 15.max_sum_non_adjacent.py | 15.max_sum_non_adjacent.py | py | 3,318 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 69,
"usage_type": "call"
}
] |
36256347857 | #send sms via way2sms api
from tkinter import *
import requests
import json
URL = 'https://www.way2sms.com/api/v1/sendCampaign'
def sendPostRequest(reqUrl, apiKey, secretKey, useType, phoneNo, senderId, textMessage):
req_params = {
'apikey':apiKey,
'secret':secretKey,
'usetype':useType,
'phone': phoneNo,
'... | abhilashnambiar/dcodetech_python | send_sms_way2sms_api.py | send_sms_way2sms_api.py | py | 916 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
}
] |
71531278152 | #!/usr/bin/env python3
def request_wiki():
import sys, json, requests
from dewiki import parser
argv = sys.argv
if len(argv) != 2:
return
req = requests.get("https://en.wikipedia.org/w/api.php?action=query&format=json&prop=revisions&meta=&continue=&titles=" +
argv[1] ... | koteyevlev/django_ecole_42 | D03/ex02/request_wikipedia.py | request_wikipedia.py | py | 897 | python | en | code | 1 | github-code | 27 | [
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dewiki.parser.Parser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dewiki.parser",
"li... |
20871584291 | from monai.data import Dataset
from monai.transforms import *
import numpy as np
import torch
from torch.nn.functional import interpolate
class MRIDataset(Dataset):
def __init__(self, data, stack, transform):
'''
:param data: data list [{'img': path, 'label': path},{}]
:param stack: stack... | MAI-Lab-West-China-Hospital/Brain-MRI-data-sorting-and-artifacts-detection | dataset.py | dataset.py | py | 2,638 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "monai.data.Dataset",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.moveaxis",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional... |
35502429499 | __all__ = ["install_mask_dir", "InstallMask"]
import collections
import errno
import fnmatch
import operator
from portage import os, _unicode_decode
from portage.exception import (
FileNotFound,
IsADirectory,
OperationNotPermitted,
PermissionDenied,
ReadOnlyFileSystem,
)
from portage.util import n... | gentoo/portage | lib/portage/util/install_mask.py | install_mask.py | py | 6,444 | python | en | code | 507 | github-code | 22 | [
{
"api_name": "collections.defaultdict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "operator.attrgetter",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "fn... |
23465147784 | import xlsxwriter
class BasicsExcel(object):
@staticmethod
def demo1():
workbook = xlsxwriter.Workbook('demo2.xlsx')
worksheet1 = workbook.add_worksheet('第一个')
worksheet2 = workbook.add_worksheet('第二个')
worksheet3 = workbook.add_worksheet()
bold = workbook.add_format()... | yl0115/handExcel | basicsexcel/basics_demo.py | basics_demo.py | py | 877 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "xlsxwriter.Workbook",
"line_number": 8,
"usage_type": "call"
}
] |
73908045167 | from io import TextIOWrapper
from sqlalchemy import Column, Integer, Date, Unicode, UnicodeText, String, Boolean, create_engine
from sqlalchemy.engine import Engine
from sqlalchemy.orm import Session
from sqlalchemy.ext.declarative import declarative_base
from typing import List, Dict
import csv
Base = declarative_bas... | cphil124/sports_database_model | python/pfr-data-ingestion/add_person_scratch.py | add_person_scratch.py | py | 6,422 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 14,
"usage_type": "argument"
},
{
... |
70006811911 | import streamlit as st
import gridfs
import tools
import pandas as pd
client = tools.init_connection()
db = client.pollwatcher
fs = gridfs.GridFS(db)
def app():
st.header('Overcounted Voters')
results = tools.get_rawdata(db,'view_validation_overcount')
pos_map = {'pw_president':'President', 'pw_vi... | kawenks/sldev | verify/overage.py | overage.py | py | 2,806 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "tools.init_connection",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "gridfs.GridFS",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.header",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tools.get_rawdata"... |
9476399864 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 21 14:48:19 2017
@author: stjohn
"""
import folium
from folium.plugins import MarkerCluster
import pandas as pd
library = pd.read_csv('LIBRARY.csv', nrows=10)
#Create lists to hold coordinates and popups:
coords = []
popups = []
icons = []
print... | stjohn/stjohn.github.io | teaching/seminar4/s17/lib.py | lib.py | py | 1,137 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "folium.Icon",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "folium.Map",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "folium.plugins.MarkerCluster",... |
21708270942 | import hashlib
import os
import random
import string
from datetime import date, datetime, timedelta
from functools import wraps
import mistune
import openai.error
from flask import Flask, jsonify, request, make_response, redirect
from flask_limiter import Limiter
from flask_login import LoginManager, UserMixin, login_... | gorse-io/midsearch | midsearch/server/__init__.py | __init__.py | py | 7,618 | python | en | code | 61 | github-code | 27 | [
{
"api_name": "os.getenv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "openai.error.proxy",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "openai.error",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "os.getenv",
"line_... |
15030779120 | import os
import zipfile
from os.path import exists
from typing import Optional
import pandas as pd
class DataFile:
def __init__(
self,
name: str,
col_cant_have_null_values: list[str],
non_required_col: list[str],
col_to_coerce_to_int64: Optional[list[st... | immutableT/cs513 | data_file.py | data_file.py | py | 3,404 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
29831775227 | import numpy as np
import pandas as pd
from keras.models import Sequential, load_model
from keras.layers import Flatten,Dense,MaxPooling2D,Conv2D,Lambda,Cropping2D
from keras.preprocessing.image import ImageDataGenerator
from keras.callbacks import ModelCheckpoint, History
import tensorflow as tf
print("Tensorflow vers... | ThomasHenckel/Learning | Self-Driving Car Engineer/CarND-Behavioral-Cloning-P3/model.py | model.py | py | 9,710 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "tensorflow.__version__",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.ConfigProto",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "... |
22041535042 | import itertools
from birdears import KEYS
from birdears.questionbase import QuestionBase
# from birdears.interval import DiatonicInterval
# from birdears.interval import ChromaticInterval
from birdears.interval import Interval
from birdears.scale import ScaleBase
from birdears.scale import DiatonicScale
from birde... | birdears/birdears | tests/test_basic.py | test_basic.py | py | 5,041 | python | en | code | 55 | github-code | 27 | [
{
"api_name": "birdears.questionbase.QuestionBase",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "birdears.questionbase.QuestionBase",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "birdears.questionbase.QuestionBase",
"line_number": 45,
"usage_type... |
23763204916 | import os
import json
import utils
def extract_op(input_dir, output_dir):
'''
Extract op from assmbly code.
You may need to adjust the structure of `for` loop and
`if` condition based the hierarchy of your folder.
'''
sub_list = [
'Glow_2020/', 'Glow_2021/', 'Glow_2022/... | monkbai/DNN-decompiler | operator_inference/preprocess.py | preprocess.py | py | 7,422 | python | en | code | 174 | github-code | 2 | [
{
"api_name": "utils.make_path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "utils.make_path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "utils.make_path",
"lin... |
34206134468 | import pytest
import requests
from src import config
@pytest.fixture()
def post_method():
user = {
"name": "Nick",
"job": "QA"
}
return user
@pytest.fixture()
def put_method():
user_update = {
"name": "Nick",
"job": "QA Lead"
}
return user_update
@pytest.fixtu... | gucciskygoogles/NewApiTest | conftest.py | conftest.py | py | 852 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "src.config.APIkey",
"li... |
22475450745 | import typing
import datetime
import humanize
import logging
from cronitor import State, Monitor
import cronitor
import functools
import shutil
import tempfile
import sys
logger = logging.getLogger(__name__)
try:
import celery
import celery.beat
from celery.schedules import crontab, schedule, solar
fro... | cronitorio/cronitor-python | cronitor/celery.py | celery.py | py | 8,600 | python | en | code | 59 | github-code | 22 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cronitor.api_key... |
23838422724 | import json
import urllib.request
import urllib.parse
from urllib.error import HTTPError
from django.conf import settings
from django.contrib.auth import login
from django.shortcuts import redirect
from .models import User
class AppAuthMiddleware:
def __init__(self, get_response):
self.get_response = ... | exval/Awesome-Task-Exchange-System-aTES | project/task-manager/src/tracker/middleware.py | middleware.py | py | 2,428 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "django.conf.settings.AUTH_APP_ID",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.AUTH_APP_SECRET",
"line_number": 20,
"usage_type": "attri... |
15588111850 | import requests
from bs4 import BeautifulSoup
import csv
r = requests.get(f"https://www.bmkg.go.id/profil/stasiun-upt.bmkg")
soup = BeautifulSoup(r.content, 'html.parser')
print(soup.original_encoding)
table = soup.find("table",{"class":"table table-hover table-striped"}) # to select the right table
# cari s... | rifatrkf/ETL-Data-Stasiun | webscrapping/stasiun.py | stasiun.py | py | 1,176 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 6,
"usage_type": "call"
}
] |
32875910808 | from logging import Logger
from django.conf import settings
from django.db.models.signals import post_delete, post_save
from django.dispatch import receiver
from django_celery_results.models import TaskResult
from notify.models import BackgroundProcess
from notify.serializers import BackgroundProcessSerializer
from no... | mrmap-community/mrmap | mrmap/notify/signals.py | signals.py | py | 3,571 | python | en | code | 11 | github-code | 22 | [
{
"api_name": "logging.Logger",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.ROOT_LOGGER",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 12,
"usage_type": "name"
},
{
"api_nam... |
35038135412 | import os
import json
import eventlet
import time
from threading import Thread
import sys
from flask import Flask, render_template, jsonify
from flask.ext.socketio import SocketIO, emit
import socketio
import zmq
import time
from helpers import *
app = Flask(__name__)
sio = SocketIO(app=app, async_mode="threading")
e... | lenny-belardo/ExplosionDetection | app/project.py | project.py | py | 2,559 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.ext.socketio.SocketIO",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "zmq.Context",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "zmq.PUB",
"li... |
10935824273 |
import os
import sys
import json
import csv
import torch
from sentence_transformers import SentenceTransformer, util
from train_relreg_tt import get_examples
sys.setrecursionlimit(10000)
def write_to_file(examples, meetings_dict, output_dir, split):
id2meetingsrc_embed = {}
for curid, utts in meetings_dict.... | salesforce/query-focused-sum | extractors/test_relreg_tt.py | test_relreg_tt.py | py | 2,929 | python | en | code | 39 | github-code | 22 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"lin... |
38094177376 | import cv2
import numpy as np
import matplotlib.pyplot as plt
import common
#-----------------------------------------------------------------------------------#
def clamp_scale(in0, in1, out0, out1, f):
if f < in0:
return out0
elif f > in1:
return out1
else:
assert(in0 != in1)
... | xukan840730/learning | ml/test-drive-assist/fit_line.py | fit_line.py | py | 13,690 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "common.normalize",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 3... |
21049941646 | from unittest import TestCase
from uuid import uuid4
from tests.utils import create_mock_user, create_mock_enrollment, create_mock_discussion, teardown_data
from models import db, Discussion
discussion_data = [
{
'body': 'that the quick brown fox',
},
{
'body': 'jumps over the lazy dog.'
... | aswasif007/pi-academy-api | tests/unit/models/test_discussion.py | test_discussion.py | py | 2,055 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "uuid.uuid4",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tests.utils.create_mock_user",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tests.utils... |
3422619304 | #tutoring models
from django.db import models
from django.db.models.query import QuerySet
from django.core.cache import cache
from hkn.info.models import Person
from hkn.tutor.constants import *
import hkn.tutor.scheduler as scheduler
import nice_types.semester
from nice_types.db import QuerySetManager
from nice_types... | wylliec/old-hkn | tutor/models.py | models.py | py | 14,364 | python | en | code | 1 | github-code | 22 | [
{
"api_name": "nice_types.db.QuerySetManager",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.db.models.Model",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 23,
"usage_type": "name"
},
{
"api_na... |
17587268740 | import csv
from matplotlib import pyplot as plt
from datetime import datetime
# import os
# cwd = os.getcwd() # Get the current working directory (cwd)
# files = os.listdir(cwd) # Get all the files in that directory
# print("Files in '%s': %s" % (cwd, files))
# filename = './sitka_weather_2014.csv'
filename = './dea... | sansx/python_study | PythonCrashCourse/data_visualization/lesson4/highs_lows.py | highs_lows.py | py | 1,210 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "csv.reader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
24646030492 | import math
import pdb
def normalizeAngle(angle):
while angle < -math.pi:
angle += 2*math.pi
while angle > math.pi:
angle -= 2*math.pi
return angle
def normalizeAngle0PI(angle):
while angle < 0:
angle += math.pi
while angle > math.pi:
angle -= math.pi
return... | robotika/osgar | subt/ros/robot/src/robomath.py | robomath.py | py | 2,401 | python | en | code | 13 | github-code | 22 | [
{
"api_name": "math.pi",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 8,
... |
41705122872 | # This has some documentation embedded. See
# ~/.local/lib/python3.8/site-packages/graphene_django/utils/testing.py
from graphene_django.utils.testing import GraphQLTestCase
import json
from django.conf import settings
from . import authenticate_jwt, login_tokenless
# These two to trap stderr
import sys
from io import... | Anthony-J-Garot/snippets_graphql | snippets/tests/test_queries.py | test_queries.py | py | 10,244 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "graphene_django.utils.testing.GraphQLTestCase",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.DEBUG",
"line_number": 72,
"usage_type": "attribute"
},
... |
70834613815 | import pygame
import sys
import random
from settings import *
from player import Player
from sky import Sky
from asteroid import Asteroid
from bullet import Bullet
def damage_meteors(meteor_filename_list):
if asteroid.image == meteor_filename_list[0] or meteor_filename_list[1]:
asteroid.damage = 5... | Alpaka4/space_shooter-3 | space shooter/main.py | main.py | py | 2,514 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "asteroid.image",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "asteroid.damage",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "asteroid.image",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "asteroid... |
15053154326 | # I messed up the folder hierarchy for image classification
from options import Options
import xml.etree.ElementTree as ET
import os
import re
def get_image_colors(dir, img_name):
name = os.path.join(dir, "annotations", '{}.xml'.format(img_name))
tree = ET.parse(name)
root = tree.getroot()
return [obj... | D3rpyDolphin/Lego-Custom-Dataset | crop_images.py | crop_images.py | py | 1,642 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "xml.etree.Element... |
8346150308 | #!/usr/bin/env python
from setuptools import setup, find_packages
__version__ = '0.0.2'
readme = open("README").read()
changes = open("docs/changes.rst").read()
long_description = readme + "\n\n" + changes
setup(
name="django-nisoc",
version=__version__,
author="Djord Flanagan",
author_email="grfl... | averagehuman/nisociety | setup.py | setup.py | py | 959 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "setuptools.setup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 21,
"usage_type": "call"
}
] |
69849138617 | # -*- coding: utf-8 -*-
# @Time : 2022/3/27 13:17
# @Author : Jarvis
# @Email : jiamiao12@qq.com
# @File : jd.py
# @Software: PyCharm
from selenium.webdriver.common.by import By
page_url = 'https://www.jd.com'
elements = [
{'name': 'search_ipt', 'desc': '搜索框点击', 'by': (By.ID, u'key'), 'ec': 'presence_of... | jarvis7164/AutoTestFrame | Page/jd/jd.py | jd.py | py | 527 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "selenium.webdriver.common.by.By.ID",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.CLASS_NAME",
"line_number": 14,
"... |
41764633739 | #!/usr/bin/env python3
"""
Class to handle mysql databases
"""
# python standard modules
# modules installed with pip
from orderedattrdict import AttrDict
import pymysql
import pymysql.cursors
class Database:
"""
Handle database connections
Keep the connection open, and if any error try to reconne... | abundo/ablib | db.py | db.py | py | 5,578 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "pymysql.connect",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "pymysql.MySQLError",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "pymysql.... |
10727324976 | import nbformat
import json
import re
import sys
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
def read_notebook_code_cells(path_to_notebook):
code_cells =... | OhIDunKnow/jupyterNotebook | lesson7/validate_c07.py | validate_c07.py | py | 3,802 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "nbformat.read",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 50... |
3604237344 | import numpy as np
from nltk import word_tokenize
from collections import Counter
import random
#TODO: Handle train/test/validation data
#TODO: Datashuffling 2/3, 1/6, 1/6
#TODO: Store them separately
#TODO: Write _make_batches
#TODO: Define method to input <EOS> tokens
#TODO: Global variable called numval bat... | liamge/NeuralLM | utils.py | utils.py | py | 4,819 | python | en | code | 1 | github-code | 22 | [
{
"api_name": "collections.Counter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.random... |
30467454281 | import os
import random
import torch
from transformers.file_utils import is_torch_available
import numpy as np
def set_seed(seed: int):
"""
Helper function for reproducible behavior to set the seed in ``random``, ``numpy``, ``torch`` and/or ``tf`` (if
installed).
Args:
seed (:obj:`int`): The ... | jespinosal/aspect_based_sentiment_analysis | src/utils.py | utils.py | py | 1,693 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "random.seed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "transformers.file_uti... |
12809976778 | from pages.base_page import BasePage
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
title_of_page = (By.XPATH, '//*[@data-ui-id="page-title-wrapper"]')
product = (By.XPATH, '//*[@class="product-item... | adartsevichdasha/dasha_UI_tests | pages/eco_friendly_page.py | eco_friendly_page.py | py | 2,355 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 8,
"usage... |
7815720300 | import logging
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
# you need to run the airflow server first
# run in terminal: /opt/airflow/start.sh
'''
Define a function that uses the python logger to log a function.
Then finish filling in the details of the DAG down below. Once you... | edumangabeira/DataEngineering | udacity/data_pipelines/classes/part1/airflow_DAG.py | airflow_DAG.py | py | 779 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "logging.info",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "airflow.operators.python_operator.PythonOperator",
"line_number": 21,
"usage_type": "call"
}
] |
28598807944 | # Author: Gael Varoquaux
# License: BSD 3 clause
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing impo... | ryfeus/lambda-packs | Sklearn_scipy_numpy/source/sklearn/tests/test_base.py | test_base.py | py | 7,045 | python | en | code | 1,104 | github-code | 22 | [
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 36,
"usage_type": "name"
},
{
"... |
39520783662 | import os
import shutil
import tempfile
from absl.testing import absltest
import chex
import jax.numpy as jnp
import numpy as np
from jaqmc.dmc.ckpt_handler import CkptHandler
from jaqmc.dmc.data_path import DataPath
from jaqmc.dmc.state import State
class CkptHandlerTest(chex.TestCase):
def setUp(self):
... | bytedance/jaqmc | tests/dmc/ckpt_handler_test.py | ckpt_handler_test.py | py | 2,331 | python | en | code | 31 | github-code | 2 | [
{
"api_name": "chex.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "shutil.rmtree",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "jaqmc.dmc.ckpt_hand... |
13879848845 | from multiprocessing import Pool
import JK
import dmm
import mgstage
import tokyohot
import jav
if __name__ == '__main__':
# conf
root_raw = R'F:\0'
root_finished = R'F:\1'
single_processe = 1
# single_processe = 0
site = dmm
# site = mgstage
# site = tokyohot
# site = ja... | Elypha/meta-scraper | main.py | main.py | py | 867 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "JK.file.findall",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "JK.file",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 35,
"usage_type": "call"
}
] |
2785949897 | import sqlite3
import sys
sys.path.append("C:\Source\Python\Advanced\movie-theater")
from models.movie import *
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
"""
... | stemodev/movie-theater | db/SQLite.py | SQLite.py | py | 3,108 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 14,
"usage_type": "call"
}
] |
29840947900 | import typing
import time
import grpc
import json
import ftplib
import pathlib
from . import end_user_pb2
from . import end_user_pb2_grpc
from ..types import TransferFile
class Client:
# def __init__(self, email: str, token_api: str, computing_server_addr: str, computing_server_port: str, file_server_addr: str, f... | chiral-data/chiral-client-python | chiral_client/client/__init__.py | __init__.py | py | 5,163 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "typing.Tuple",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "grpc.insecure_channel",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ftplib.FTP",... |
22716246160 | class Eta():
# Helps with tracking time of experiments, calculating ETA
# from time of one subject x N subjects
# Init class before starting data analysis, then update on each subject start
def __init__(self, mode, N, print_eta=True, return_eta_str=True):
import time as t
... | aleksandernitka/dwiprep | fun/eta.py | eta.py | py | 3,055 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "datetime.timedelta",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "statistics.mean",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "statistics.media... |
17928837044 | # two_spheres_normal_euler.py
# unit test of normal2 force module
# Sparisoma Viridi | https://github.com/dudung
# 20230522
# 2054 Start this test.
# 2122 Pass the test.
from butiran.color2 import Color2
from butiran.math.vect3 import Vect3
from butiran.grain import Grain
from butiran.force.normal2 import Normal2... | dudung/butiran | tests/motion/two_spheres_normal_euler.py | two_spheres_normal_euler.py | py | 1,822 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "butiran.force.normal2.Normal2",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "butiran.grain.Grain",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "butiran.math.vect3.Vect3",
"line_number": 24,
"usage_type": "call"
},
{
"api_na... |
73681793976 | # -*- coding: utf-8 -*-
from django import forms
from django.contrib import admin
from django.utils.safestring import mark_safe
import jinja2
from ckeditor_uploader.widgets import CKEditorUploadingWidget
from core.admin import (BaseAttrAdmin, CreateChangeMixinAdmin,
PermissionsMixinAdmin, sav... | ego/pyblog | server/post/admin.py | admin.py | py | 5,651 | python | en | code | 0 | github-code | 22 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "djang... |
16694328679 |
import logging
import os
logging.basicConfig(filename="log.txt")
from tinydb import TinyDB, Query
def fetch(projectId):
db = TinyDB("project_dbs/" + projectId + ".json")
from rules import rules
from display_results import display_results
from insert_entity import insert_entity
from categories.firewalls import ad... | likescam/cs-suite_Cloud-Security-Suite | tools/G-Scout/fetch.py | fetch.py | py | 3,456 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "logging.basicConfig",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tinydb.TinyDB",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "insert_entity.insert_entity",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.e... |
29914521978 | import numpy as np
import networkx as nx
class Node(object):
'''create a node '''
def __init__(self, name, conn=None):
self.name = name
self.conn = {}
if conn is not None:
self.conn.update(conn)
node = [
Node("A", {"B":1,"C":1}),
Node("B", {"A":1,"C":0}),
Node("C", {"A":1,"B"... | lyffski/Algorithms | Graphology/main.py | main.py | py | 1,771 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "numpy.array",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "networkx.degree_centrality",
"line_number": 65,
"usage_type": "call"
}
] |
74341059247 | from . import views
from django.urls import path, include
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
path('accounts/', include('django.contrib.auth.urls')),
path('dashboard/', views.dashboard, name='dashboard'),
path('register/', views.register, name='regist... | amishdas0/KARYA | socialmedia/users/urls.py | urls.py | py | 713 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.include",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
71393122297 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
import pwinput
import time
kullaniciAdi = input("kullanıcı adını gir: ")
sifre = pwinput.pwinput(prompt='Şifre: ')
kisi = input("Takipçilerini göndermek istediğiniz kişinin kullanıcı ad... | bayramcinar/instagramFollowersCheck | instagramfollowersCheck.py | instagramfollowersCheck.py | py | 3,546 | python | en | code | 1 | github-code | 22 | [
{
"api_name": "pwinput.pwinput",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "selenium.... |
13001502144 | import os
import requests
import json
token = os.getenv('tele_token')
method = 'getUpdates'
# c9에서 telegram api 막음 ㅠㅠㅠ
# url = "https://api.telegram.org/bot{}/{}".format(token,method)
url = "https://api.hphk.io/telegram/bot{}/{}".format(token,method)
res = requests.get(url).json()
#딕셔너리에서 추출할때 괄호 확인 잘하기 []:리스트 {}:딕셔... | MunYoungKuk/Telegram | bot.py | bot.py | py | 761 | python | ko | code | 0 | github-code | 2 | [
{
"api_name": "os.getenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
}
] |
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