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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
36028935609 | import jwt
from .models.models import *
# get_permissions
def get_permissions(user_id):
# check role
user = User.query.get(user_id)
role = user.role
# If role is true then user is admin
if role:
# get all user created lists
user_owned_lists_query = List.query.filter(List.creator_i... | mfragab5890/Irithim-python-flask | src/auth.py | auth.py | py | 7,106 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "jwt.encode",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "jwt.encode",
"line_number": 127,
"usage_type": "call"
},
{
"api_name": "jwt.decode",
"line_number": 136,
"usage_type": "call"
}
] |
17520933988 | # coding:utf-8
import unittest
import ddt
import os
import requests
from common import base_api
from common import readexcel
from common import writeexcel
from common.readexcel import ExcelUtil
curpath = os.path.dirname(os.path.realpath(__file__))
textxlsx = os.path.join(curpath,"demo_api.xlsx")
report_path = os.path... | fangjiantan/PostTest | Testcase/test_api.py | test_api.py | py | 1,065 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
6672720656 | import torch
import torch.nn as nn
from torch.autograd import Variable
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
from sklearn.manifold import TSNE
import matplotlib.pyplot as plt
import torch.nn.function... | PRCinguhou/domain-adaptation | train.py | train.py | py | 9,439 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
25446749830 | """
Run correlation analysis asking if lucidity during the dream task influenced reported wakeup time.
"""
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import pingouin as pg
import utils
################################################################################
# SETUP
#########... | remrama/wakeup | wakeup_lucidity.py | wakeup_lucidity.py | py | 2,944 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "utils.load_matplotlib_settings",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "utils.load_config",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "utils.l... |
43221995512 | # 1
from selenium import webdriver
from math import log, sin
browser = webdriver.Chrome()
# Открыть страницу http://suninjuly.github.io/get_attribute.html
browser.get('http://suninjuly.github.io/get_attribute.html')
# Найти на ней элемент-картинку/ Взять у этого элемента значение атрибута valuex
valuex = browser.fin... | Rzktype/StepikPythonCourses | Module 2/lesson2-1_step7_anotherDecisions.py | lesson2-1_step7_anotherDecisions.py | py | 2,614 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "math.log",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.sin",
"l... |
7289309011 | import networkx as nx
import json
import matplotlib.pyplot as plt
import sys
from collections import defaultdict
from networkx.algorithms import bipartite
import numpy as np
import mmsbm
import time
import pickle
def parse_reviews(review_file, business_ids):
user_ids = []
reviews = defaultdict(list)
stars = {}
i =... | jonnymags/Networks-project | yelp.py | yelp.py | py | 5,362 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "json.loads... |
26626836853 | import astropy.units as u
from astropy.coordinates.sky_coordinate import SkyCoord
from astropy.units import Quantity
from astropy.table import Table
from scipy import stats
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
import astropy.coordinates as asc
import numpy as np
import random
import csv... | spacer730/Gaia_research | Overdensities-Propermotion-Graph.py | Overdensities-Propermotion-Graph.py | py | 3,287 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "astropy.table.Table.read",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "astropy.table.Table",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.a... |
12954890166 | #!/usr/bin/env python
import os
import re
import sys
import json
import random
import argparse
from checks import cors
from checks import cookie
from core.requester import requester
from core.colors import red, green, white, info, bad, end
parser = argparse.ArgumentParser()
parser.add_argument('-u', '--url', help='ur... | s0md3v/meta | meta.py | meta.py | py | 2,604 | python | en | code | 37 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "core.colors.green",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "core.colors.w... |
33210794674 | from enum import Enum
from typing import List
import numpy as np
import torch
from nemo import logging
from nemo.backends.pytorch.nm import DataLayerNM
from nemo.core.neural_types import *
__all__ = ['MultiDataLayer', 'DataCombination']
class DataCombination(Enum):
CROSSPRODUCT = 1
ZIP = 2
class MultiDat... | cppxaxa/ICAN.ShapeShifter | ICAN.ShapeShifter.Worker/nemo/backends/pytorch/common/multi_data.py | multi_data.py | py | 4,014 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "nemo.backends.pytorch.nm.DataLayerNM",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "nemo.backe... |
18132978929 | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import numpy as np
import re
import matplotlib.pyplot as plt
import keras
from tensorflow import keras
from keras.layers import Dense, SimpleRNN, Input, Embedding
from keras.models import Sequential
from keras.optimizers import Adam
from keras.preprocessing.text im... | Sautenko-Andrey/ML_practice | RNN_words_predict.py | RNN_words_predict.py | py | 9,910 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "keras.preprocessing.text.Tokenizer",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.a... |
25014074159 | from collections import defaultdict
import yaml
import json
def redial_config(path,data_type):
def _entity_kg_process(opt, SELF_LOOP_ID=185):
edge_list = [] # [(entity, entity, relation)]
for entity in range(opt['n_entity']):
if str(entity) not in opt['entity_kg']:
cont... | Oran-Ac/LOT-CRS | src/utils/config.py | config.py | py | 3,493 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "json.load",
"lin... |
17811464587 | import boto3
from pprint import pprint
import time
aws_console=boto3.session.Session()
ec2_console=aws_console.resource('ec2', region_name='us-east-1')
# #ec2_console.start_instances(instance_id=['i-06186ed7e182cc28b'])
# response=ec2_console.describe_instances(InstanceIds=['i-06186ed7e182cc28b'])
# #pprint(response... | SachinPitale/AWS_Lambda | 05-waiters/01-ec2-status.py | 01-ec2-status.py | py | 868 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "boto3.session.Session",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "boto3.session",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 27,
"usage_type": "call"
}
] |
11194223295 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Use this to execute the differential kinematics
controller in our kinecontrol paper.
'''
from __future__ import print_function
import Sofa
import math
import sys, os
import time
import logging
import datetime
import numpy as np
from utils import *
from config import *... | robotsorcerer/superchicko | sofa/python/kinecontrol/diff_kine_controller.py | diff_kine_controller.py | py | 11,135 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 41,... |
8472917150 | #!/usr/bin/python3
##
##
import os,sys,re
import requests
import time
# Global variables
BASE_URL = "https://api.thousandeyes.com"
USERNAME = "your_username"
PASSWORD = "your_password"
API_TOKEN = None
def get_api_token():
global API_TOKEN
auth_endpoint = BASE_URL + "/v6/auth/login"
data = {
"u... | babywyrm/sysadmin | pyth3/api/check_revoke_.py | check_revoke_.py | py | 2,547 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "requests.post",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "requests.excepti... |
3650201755 | import random
from users import users
from random import randrange
from datetime import timedelta,datetime
#LEVEL TIMESTAMP METHOD API STATUS USERID
def random_date(start= datetime.now()-timedelta(days=120), end=datetime.now()):
"""
This function will return a random datetime between two datetime
object... | Prashantpx-17237/Datahub | datascripts/serverlog.py | serverlog.py | py | 1,666 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.randra... |
8128484100 | import electra_class
from transformers import ElectraForQuestionAnswering, ElectraTokenizer
model_name = "ahotrod/electra_large_discriminator_squad2_512"
model = ElectraForQuestionAnswering.from_pretrained(model_name)
tokenizer = ElectraTokenizer.from_pretrained(model_name)
while(True):
context = input("Enter Tar... | gale2307/Jarvis | electra_test.py | electra_test.py | py | 754 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "transformers.ElectraForQuestionAnswering.from_pretrained",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "transformers.ElectraForQuestionAnswering",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "transformers.ElectraTokenizer.from_pretrained",
... |
27668133159 | import os
from PIL import Image
def resize_image(path, new_path, width, height, crop_center=True):
'''Image resizing and saving to new path'''
original_image = Image.open(path)
image = original_image if not crop_center else crop_center_image(
original_image)
new_image = image.resize((width, he... | jonathanrodriguezs/image-resizer | image_resizer.py | image_resizer.py | py | 1,177 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
... |
20324223182 | from pymongo import MongoClient
def get_db(database):
"""
A quick way to get MongoDb Client link
"""
clientmg=MongoClient()
db=clientmg[database]
return db
db=get_db("foundation")
plist=db.process.find({},{"price":1,"qtt":2})
for p in plist:
ttlamt=float(float(p["price"])*float(p["qtt"]))
db.process.update({"_i... | raynardj/terminus | major/mongo/pricefloat.py | pricefloat.py | py | 372 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 6,
"usage_type": "call"
}
] |
22811929801 | from flask import Flask, render_template
from gevent.pywsgi import WSGIServer
from strategy_thread import StrategyThread
import atexit
from apscheduler.schedulers.background import BackgroundScheduler
from copy import deepcopy
import time
import pandas as pd
#########################################################... | zQuantz/Logma | ibapi/ui/retrace.py | retrace.py | py | 2,714 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_n... |
22767714265 | import sys
import random
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
##################################################################################################################################
##########################################################################################... | maal22/Tesis_Licenciatura | tesis_Egolf_ergodicidad4_2.py | tesis_Egolf_ergodicidad4_2.py | py | 10,416 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "networkx.Graph",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
"line_... |
7228924054 | import json
import logging
import os
from uuid import uuid4
from sqlalchemy import and_
from log import Msg
from helper import Now, model_to_dict, Http_error, value, check_schema
from .model import Event
from user.controller import get_profile
def add(data, username, db_session):
logging.info(Msg.START)
re... | nsmseifi/Bellezza | event/controller.py | controller.py | py | 3,930 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.info",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "log.Msg.START",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "log.Msg",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "helper.check_schema",
"li... |
20052535936 | from __future__ import print_function
import matplotlib.pylab as plt
import Layer1.NLSVC as svm
import Layer1.learnerV2a as l
import Layer1.RLLSVM as rlvm
#import Layer1.SVMLearner as svm
#import Layer1.RecurrentSVM as rsvm
#import Layer1.Poly_Learner as pl
#import Layer1.MLP_Learner as mlp
import numpy as np
from Laye... | MLRichter/AutoBuffett | layer1_testScript.py | layer1_testScript.py | py | 3,264 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "Layer1.learnerV2a.Learner",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "Layer1.learnerV2a",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "Layer2.AccountV2.Account",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "... |
24500666134 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Helper functions and classes."""
from typing import Callable, Iterable, List, Mapping, Tuple, Type
import string
import functools
_registry = dict()
_printable = set(string.printable)
class MultiMethod:
"""
Representation of an overloaded method.
Takes ... | learnitall/glo | glo/helpers.py | helpers.py | py | 7,497 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "string.printable",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "typing.Tuple",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "typing.Type",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
... |
7535863812 | from django.test import TestCase, Client, tag
from djangoplicity.media.models import Video
@tag('frontpage')
class TestFrontPageApp(TestCase):
fixtures = ['test/pages', 'test/media', 'test/announcements', 'test/releases', 'test/highlights']
def setUp(self):
self.client = Client()
def test_homepa... | esawebb/esawebb | webb/frontpage/tests.py | tests.py | py | 990 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "djangoplicity.media.models.Video.objects.update",
"line_number": 25,
"usage_type": "call"
},
{... |
17884436215 | # -*- encoding: utf-8 -*-
"""
说明：由于之前帮助按钮模式做的效果不是很理想，目前计划是做一个新的模块作为临时结局方案
"""
import webbrowser
class helpLinkEngine(object):
def __init__(self):
self.url_dict = {
"dataio_sample_showhelp":'导入其他数据分析软件的工作表?sort_id=3265627'
}
def openHelp(self, tag = ""):
if tag in self.u... | pyminer/pyminer | pyminer/packages/pm_helpLinkEngine/helpLinkEngine.py | helpLinkEngine.py | py | 754 | python | zh | code | 77 | github-code | 36 | [
{
"api_name": "webbrowser.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PySide2.QtWidgets.QMessageBox.warning",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PySide2.QtWidgets.QMessageBox",
"line_number": 19,
"usage_type": "name"
},
{
... |
29378709444 | from flask import Blueprint, request, session
from database.service.location import Location as LocationSvc
from database.service.user import User as UserSvc
from database.service.device import Device as DeviceSvc
from database.service.property import Property as PropertySvc
from database.service.exceptions import NoRe... | Wolfie-Home/webserver2 | wolfie_home/api_mqtt.py | api_mqtt.py | py | 2,763 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "database.service.user.User.verify",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "database.serv... |
4397820007 | import os
from shutil import copyfile
from unittest.mock import patch, Mock
import pytest
from ow import migrate
class TestMigrateUnit(object):
def test_includeme(self):
config = Mock()
migrate.includeme(config)
config.scan.assert_called_with('ow.migrate')
@patch('ow.migrate.run_mig... | openworkouts/OpenWorkouts | ow/tests/test_migrate.py | test_migrate.py | py | 5,768 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "unittest.mock.Mock",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ow.migrate.includeme",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ow.migrate",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "unittest.mock.Mock... |
31320163241 | import pandas as pd
import pymongo
from .metacritic_scrape import scrape_game_page
from .pandas_functions import clean_df
from selenium.webdriver import Firefox
import random
import time
mc = pymongo.MongoClient()
db =mc['game_recommender']
reviews_coll = db['reviews']
games=db['games']
#omc=pymongo.MongoClient()
#cb... | loeschn/Video-Game-Recommender | Notebooks/notebook_src/make_preference_matrix.py | make_preference_matrix.py | py | 2,145 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "metacr... |
8651855944 | import time
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.select import Select
from selenium.webdriver.support.wait import WebDriverWait
service... | PCPuja/FirstGit | Waits.py | Waits.py | py | 2,198 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{... |
41797269228 | from django.core.management.base import BaseCommand
from django.conf import settings
import requests
import json
import telebot
from telebot import types
from crypton.models import Profile
from preferences import preferences
bot = telebot.TeleBot(settings.TOKEN)
coins = {
'BTC': ['btc', 'bitcoin', 'биткоин'],
... | iterweb/test_bot | crypton/management/commands/tg_bot.py | tg_bot.py | py | 2,340 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "telebot.TeleBot",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.TOKEN",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "... |
42305321529 | import sqlite3
import DepartmentStudentAmounts as dsa
Database = sqlite3.connect('Identities')
items = Database.cursor()
"""class used to validate the adding none year group specific items
Attributes
-----------
private Attributes
---> name item
---> average
---> department
"""
class v... | newton124/code | AddingItem.py | AddingItem.py | py | 5,597 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "DepartmentStudentAmounts.StudentAmounts",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "DepartmentStudentAmounts.StudentAmounts",
"line_number": 50,
"usage_type": "a... |
9194439636 | # coding: utf-8
"""
Lightly API
Lightly.ai enables you to do self-supervised learning in an easy and intuitive way. The lightly.ai OpenAPI spec defines how one can interact with our REST API to unleash the full potential of lightly.ai # noqa: E501
OpenAPI spec version: 1.0.0
Contact: support@lightly... | tibe97/thesis-self-supervised-learning | lightly/openapi_generated/swagger_client/models/job_status_data.py | job_status_data.py | py | 9,149 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "lightly.openapi_generated.swagger_client.configuration.Configuration",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "six.iteritems",
"line_number": 268,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 293,
"usage_type": "c... |
28224836636 | import random
from string import ascii_letters
from typing import Any, Generator
def data_stream_gen(
total_length: int | None = None, element_length: int = 100
) -> Generator[str, None, None]:
if total_length is None:
total_length == float("inf")
idx = 0
while idx < total_length:
elem... | HomayoonAlimohammadi/Training | DailyProblem/2_7_2022.py | 2_7_2022.py | py | 1,104 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "random.choice",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "typing.Generator",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Generat... |
44392387615 | import falcon
from routes.user import UserRoutes
from routes.workspace import WorkspaceRoutes
from routes.display import DisplayRoutes
from routes.token import TokenRoutes
from routes.scene import SceneRoutes
from routes.slide import SlideRoutes
from falcon.http_status import HTTPStatus
class HandleCORS(object):
def ... | Silassales/Displayly | backend/main.py | main.py | py | 1,942 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "falcon.http_status.HTTPStatus",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "falcon.HTTP_200",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "falcon.API",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "routes.... |
13404192861 | import warnings, logging, os, sys
warnings.filterwarnings('ignore',category=FutureWarning)
logging.disable(logging.WARNING)
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
import json
import tensorflow as tf
from utils import *
from arguments import get_args_many
args = get_args_many()
MDIR = args.MDIR
n2d_layers ... | gjoni/trRosetta | network/predict_many.py | predict_many.py | py | 4,388 | python | en | code | 192 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "logging.disable",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.environ"... |
21203385181 | from pyramid_promosite.models import (
DBSession,
Page,
)
from pyramid.view import view_config
@view_config(route_name='admin',
renderer='admin/index.jinja2',
permission="authenticated")
def admin(request):
pages = DBSession.query(Page).filter(Page.orign_page_id == 0).\
... | uralbash/pyramid_promosite | pyramid_promosite/views/admin.py | admin.py | py | 386 | python | en | code | 12 | github-code | 36 | [
{
"api_name": "pyramid_promosite.models.DBSession.query",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyramid_promosite.models.Page",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "pyramid_promosite.models.DBSession",
"line_number": 12,
"usage... |
35919702620 | import difflib
import redis
from pymongo import MongoClient, ASCENDING
client = MongoClient('mongodb+srv://Alex:goit123@utcluster.zrkwr.mongodb.net/myFirstDatabase?retryWrites=true&w=majority')
def command_assistant():
commands = ['add', 'show', 'delete', 'show_all', 'exit', 'update'] # list... | AlexUtchenko/goit-python | WEB10/PA_Mongo_Redis.py | PA_Mongo_Redis.py | py | 4,755 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "redis.StrictRedis",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "difflib.get_close_matches",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "redis.... |
39989734557 | #%%
import os
from transformers import pipeline, AutoTokenizer
def EvalModel(modelname, input_words, author_name=None, out_lines_number=None, temperature=None):
model = os.path.join("models", modelname)
tokenizer = AutoTokenizer.from_pretrained("GroNLP/gpt2-small-italian")
pipe = pipeline("text-generation"... | AndPazzaglia/xEleonora2 | utils/EvalModel.py | EvalModel.py | py | 444 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tra... |
72201720423 | import argparse
import transformers
from transformers import AutoModel, AutoTokenizer
import numpy as np
import torch
import logging
from pathlib import Path
from os.path import exists
import os
import pandas as pd
from tqdm import tqdm
from datasets import load_dataset
from transformers import AutoTokenizer, DataColl... | RishanthRajendhran/influenceFunctions | model.py | model.py | py | 13,479 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 142,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 145,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
... |
14300436310 | # -*- coding: utf-8 -*-
"""
Created on Sun Jun 20 20:16:15 2021
@author: RISHBANS
"""
import pandas as pd
mnist_data = pd.read_csv("mnist-train.csv")
features = mnist_data.columns[1:]
X = mnist_data[features]
y = mnist_data['label']
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y... | edyoda/ML-with-Rishi | mnist_nn.py | mnist_nn.py | py | 1,205 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "... |
38790072566 | """Module for Bresenham kernel"""
import numpy as np
from copa_map.util.occ_grid import OccGrid
import cv2
class KernelGrid(OccGrid):
"""Class for creating an occupation map with widened walls"""
def __init__(self, base_occ_map: OccGrid, digitize_size=0.2, num_of_borders=2):
"""
Constructor
... | MarvinStuede/copa-map | src/copa_map/kernel/kernel_grid.py | kernel_grid.py | py | 3,359 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "copa_map.util.occ_grid.OccGrid",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "copa_map.util.occ_grid.OccGrid",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name... |
9044988683 | from __future__ import annotations
from abc import abstractmethod, ABC
from typing import Optional
from api.mvc.controller.content_model.i_content_model_controller import IContentModelController
from api.mvc.controller.project.i_project_controller import IProjectController
from api.mvc.controller.property.i_property_... | seedbaobab/alfresco_helper | api/mvc/controller/data/data_controller.py | data_controller.py | py | 13,805 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "api_core.mvc.controller.controller.Controller",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "api_core.mvc.service.model.service.Service",
"line_number": 30,
"usage_type": "name... |
28525524930 | import pygame, time, random
from cars import car
from things import thing
from shooting_thing import shoot
pygame.init()
display_width = 800
display_height = 600
black = (0, 0, 0)
white = (255, 255, 255)
red = (255, 0, 0)
green = (0, 255, 0)
blue = (0, 0, 255)
random_color = (random.ra... | maoriole/car-game | game_car.py | game_car.py | py | 10,448 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pygame.display",
... |
31773538373 | import pygame
pygame.init()
tela = pygame.display.set_mode((800, 600))
imgNave = pygame.image.load("Spacepack/Rocket.png")
imgNave = pygame.transform.scale(imgNave, (200,100))
imgUFO = pygame.image.load("Spacepack/UFOBoss.png")
imgUFO = pygame.transform.scale(imgUFO, (200,200))
rect_nave = imgNave.get_rect()
r... | rafaelleal/extensaoPythonPygame | script3.py | script3.py | py | 1,453 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.loa... |
8403047178 | from typing import Any, List, Dict
class Config:
"""
Contains parsed yaml config
"""
def __init__(self, config_yaml: Any) -> None:
# self.query: Dict[str, TableConfig] = {}
self._parse_conf(config_yaml)
def _parse_conf(self, conf_yaml: Any) -> None:
"""
Parses ... | parkroyal/Data_Loader | configlayer/models.py | models.py | py | 2,975 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Any",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 71,... |
29580682652 | #!/usr/local/bin/py
import argparse
import hashlib
import logging
import os
import oss2 # pip install oss2
import re
logging.getLogger("requests").setLevel(logging.WARNING)
logging.getLogger('oss2').setLevel(logging.WARNING)
logging.basicConfig(
level=logging.INFO,
format='[%(asctime)s][%(levelname)s] %(messa... | mitnk/oss-sync | sync.py | sync.py | py | 12,601 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.WARNIN... |
20658918357 | """Computes eigenvalues and eigenvectors of the PMI similarity matrices for a given attribute type. Saves the results of this along with kMeans clustering of the attributes, and the assignment of graph nodes to clusters."""
import pickle
import time
import numpy as np
import pandas as pd
import optparse
from scipy.spa... | jeremander/Gplus | factor_attr_mat.py | factor_attr_mat.py | py | 11,356 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "pandas.DataFrame",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "optparse.OptionParser",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",... |
38665711112 | # -*- coding: utf-8 -*-
from __future__ import (unicode_literals, division, absolute_import,
print_function)
import six
__license__ = 'GPL v3'
__copyright__ = '2021, Jim Miller'
__docformat__ = 'restructuredtext en'
import logging
logger = logging.getLogger(__name__)
import re
import threa... | JimmXinu/FanFicFare | calibre-plugin/config.py | config.py | py | 85,977 | python | en | code | 664 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "calibre.library.field_metadata.FieldMetadata",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "calibre_plugins.fanficfare_plugin.prefs.prefs",
"line_number": 83,
"usage_... |
19751656745 | import requests
import json
import yaml
import os
from bs4 import BeautifulSoup
# set URLS for APIs
proPublica_DataTable_url = (
"https://api.propublica.org/congress/v1/bills/search.json?query={}&sort=date"
)
proPublica_bill_url = "https://api.propublica.org/congress/v1/116/bills/{}.json"
proPublica_SENATE_member... | jon-behnken/reform-project | code/powertools/main.py | main.py | py | 3,180 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number"... |
27697116 | from enum import Enum
from typing import List
from datetime import datetime
from typing import Optional
class FileType(Enum):
PDF = "pdf"
LINK = "link"
DIRECTORY = "directory"
GITHUB = "github"
GENERIC = "generic"
class File:
def __init__(
self,
id: str,
name: str,
... | Kitenite/llm-kb | server/src/datasource/file_system.py | file_system.py | py | 5,030 | python | en | code | 31 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_... |
6937535017 | # -*- coding: utf-8 -*-
from __future__ import division, print_function
__all__ = ["RotationModel"]
import numpy as np
from scipy.optimize import minimize
from scipy.linalg import cho_factor, cho_solve
import celerite
from celerite import modeling
from .pld import PLDModel
from .gp import get_simple_gp, get_rotati... | dfm/rotate | rotate/model.py | model.py | py | 7,231 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "celerite.modeling.ModelSet",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "celerite.modeling",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.a... |
7209789987 | """Functionality related to listing and querying apps"""
import os
import subprocess
import logging
import time
import re
from typing import Optional
from bundle.bundle import Bundle, InvalidBundle
from binary.binary import Binary
from extern.tools import tool_named, call_sbpl
def all_apps(at: str = "/Applications"... | 0xbf00/maap | misc/app_utils.py | app_utils.py | py | 8,464 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "bundle.bundle.Bundle.make",
... |
42998550666 | from __future__ import annotations
#
# SSL wrap socket for PyOpenSSL.
# Mostly copied from
#
# https://github.com/shazow/urllib3/blob/master/urllib3/contrib/pyopenssl.py
#
# and added OCSP validator on the top.
import logging
import time
from functools import wraps
from inspect import getfullargspec as get_args
from s... | snowflakedb/snowflake-connector-python | src/snowflake/connector/ssl_wrap_socket.py | ssl_wrap_socket.py | py | 4,486 | python | en | code | 511 | github-code | 36 | [
{
"api_name": "constants.OCSPMode",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "constants.OCSPMode.FAIL_OPEN",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "constants.OCSPMode",
"line_number": 28,
"usage_type": "name"
},
{
"api_name"... |
540233672 | import torch
import numpy as np
import encoding_tree
import time
import copy
def find(x, parent, dep):
if parent[x] == -1:
dep[x] = 0
return dep[x]
if (dep[x] > 0):
return dep[x]
dep[x] = find(parent[x], parent, dep) + 1
return dep[x]
def get_tree(input_):
data, k = input... | zzq229-creator/entpool | data/graph2tree.py | graph2tree.py | py | 1,985 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "encoding_tree.Graph",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "encoding_tree.Tree",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
29620128812 | import mysql.connector
import json
# pip3 install mysql-connector-python
# 连接数据库
config = {
'user': 'root',
'password': 'xxx',
'host': '192.168.137.129',
'port': '3306',
'database': 'db_example'
}
json_data = {}
with open('./data.json', 'r', encoding='utf8')as fp:
json_data = json.load(fp)[0]
... | hua345/myBlog | python/mysql/index.py | index.py | py | 6,087 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_na... |
31324286848 | #!/usr/bin/python3
import sqlite3
from itertools import chain
conn = sqlite3.connect('vexdb.db')
curs = conn.cursor()
ItyToId=dict()
for row in curs.execute('SELECT id, "Ity_" || btype || nbits AS cenum FROM IRType'):
ItyToId[row[1]]=row[0]
curs.execute('DELETE FROM AiOpSig')
conn.commit()
ItyToId['ity_RMo... | EmmetCaulfield/valgrind | arinx/hacking/insert-opsigs.py | insert-opsigs.py | py | 1,236 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 30,
"usage_type": "call"
}
] |
15215617350 | # -*- coding: utf-8 -*-
from get_data import getData
import numpy as np
import matplotlib.pyplot as plt
from lung_mask import getLungMask
from keras.models import Model
from keras.layers import Input, BatchNormalization, Activation, Dropout
from keras.layers.convolutional import Conv3D, Conv3DTranspose
from keras.la... | franciscapessanha/Pulmonary-nodules-analysis | CNN_segmentation_3D.py | CNN_segmentation_3D.py | py | 12,525 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "get_data.getData",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "get_data.getData",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_nu... |
17013470871 | import datetime
from components import line_bot_api
from utils import utils_database
import json
from linebot.models import (
TextSendMessage,
)
def get_event_info(event):
event_dict = event.message.as_json_dict()
timestamp = float(event.timestamp/1000)
dt_object = datetime.datetime.fromt... | jialiang8931/WRA06-Volunteer-LineBot | src/utils/utils_common.py | utils_common.py | py | 3,726 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "components.line_bot_api.get_group_summary",
"line_number": 21,
"usage_type": "call... |
21290035402 | import sqlalchemy as sqla
from sqlalchemy import create_engine, MetaData, Table, Column, Integer, String, sql
import psycopg2
import re
import os
import matplotlib.pyplot as plt
import matplotlib.patches as patch
from matplotlib.patches import Patch
import matplotlib.lines as mlines
import numpy as np
import math
def ... | JonothorDarry/PostgreProject | flaskk/alchlib.py | alchlib.py | py | 10,498 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.search",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 138,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 141,
... |
70519989225 | import sys
sys.path.append('path/to/SPFlow')
import numpy as np
import pandas as pd
from spn.structure.Base import Context
from spn.algorithms.oSLRAU import oSLRAU, oSLRAUParams
from spn.structure.leaves.parametric.Parametric import Gaussian, In_Latent
from spn.algorithms.LearningWrappers import learn_parametric
from ... | c0derzer0/oSLRAU_and_RSPN | oSLRAU_run.py | oSLRAU_run.py | py | 3,323 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "numpy.where",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.isnan",
"line_numbe... |
18903378632 | from os import makedirs
from os.path import join, dirname, isfile
from uuid import uuid4
from json import dumps
from logging import getLogger
from uchicagoldrtoolsuite import log_aware
from uchicagoldrtoolsuite.core.lib.bash_cmd import BashCommand
from uchicagoldrtoolsuite.core.lib.convenience import log_init_attempt,... | uchicago-library/uchicagoldr-toolsuite | uchicagoldrtoolsuite/bit_level/lib/techmdcreators/fitscreator.py | fitscreator.py | py | 4,907 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "abc.technicalmetadatacreator.TechnicalMetadataCreator",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "uchicagoldrtoolsuite.core.lib.convenience.log_init_attempt",
"line_nu... |
22807184796 | # Makes some radial plots of gas density and temperature.
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
import os
import sys
x_field = 'Radiuspc'
y_fields = ['Density', 'Temperature']
weight_field = 'CellMass'
x_min = 1.0e-1
x_max = 2.0e2
fns = sys.argv[1:]
plot_folde... | enzo-project/enzo-dev | run/Hydro/Hydro-3D/RotatingSphere/profile_script.py | profile_script.py | py | 936 | python | en | code | 72 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
35436780435 | import urllib.request
from bs4 import BeautifulSoup
url = 'http://127.0.0.1:8000/'
res = urllib.request.urlopen(url)
data = res.read()
html = data.decode("utf-8")
soup = BeautifulSoup(html, 'html.parser')
print(soup)
h1 = soup.html.body.h1
print('h1:', h1.string) | SeungYeopB/bigdata | crawling1/sample01.py | sample01.py | py | 266 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 6,
"usage_type": "name"
},
{
"api_name":... |
40890241642 |
"""
Python utils for RFC calls to SAP NetWeaver System
"""
import sys
if sys.version < '2.4':
print('Wrong Python Version (must be >=2.4) !!!')
sys.exit(1)
# load the native extensions
import nwsaprfcutil
import sapnwrfc.rfc
from struct import *
from string import *
import re
from types import *
#from copy... | piersharding/python-sapnwrfc | sapnwrfc/__init__.py | __init__.py | py | 5,163 | python | en | code | 26 | github-code | 36 | [
{
"api_name": "sys.version",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "nwsaprfcutil.Conn",
"line_numbe... |
71129782185 | from urllib.request import urlopen
import random
import datetime
from Initialize import sqlitewrite, sqliteread, settings, sqliteFetchAll, getmoderators
commands_BotCommands = {
"!ping": ('bot.ping', 'cmdarguments', 'user'),
"!uptime": ('bot.uptime', 'cmdarguments', 'user'),
"!roll": ('bot.roll', 'cmdargum... | gcfrxbots/rxbot | RxBot/Bot.py | Bot.py | py | 6,155 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "I... |
31112021799 | """ Store packages in GCS """
import io
import json
import logging
import os
import posixpath
from datetime import timedelta
from google.auth import compute_engine
from google.auth.transport import requests
from google.cloud import storage
from pyramid.settings import asbool
from pypicloud.models import Package
from... | ambitioninc/pypicloud | pypicloud/storage/gcs.py | gcs.py | py | 8,167 | python | en | code | null | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "object_store.ObjectStoreStorage",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "os.getenv",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "os.path.i... |
18114969380 | #!/usr/bin/env python3
from enum import Enum
from io import BytesIO
from itertools import count
from struct import pack
import csv
import sys
usage = 'To use this script, run it in a directory containing csv files generated by par2csv. It will compile them back into a new EARTH2150.par in the same directory.'
clas... | InsideEarth2150/Programming | Tools/Community Tools/Ninetailed/earth-2150/csv2par.py | csv2par.py | py | 8,490 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "itertools.count",
"line_number": 41... |
24623808952 | import matplotlib.pyplot as plt
from generator import Generator
import torch
from discriminator import Discriminator
import torch.nn as nn
import utils
import torch.utils.data as data
G = Generator()
input_z = torch.randn(1, 20)
input_z = input_z.view(input_z.size(0), input_z.size(1), 1, 1)
fake_image = G(input_z)
D ... | TOnodera/pytorch-advanced | gan/main.py | main.py | py | 1,442 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "generator.Generator",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.randn",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "discriminator.Discriminator",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.weig... |
24569667329 | import tensorflow as tf
import cv2
import time
import argparse
import posenet
from joblib import dump, load
import pandas as pd
column_names = ['Eye_L_x', 'Eye_L_y', 'Eye_R_x', 'Eye_R_y', 'Hip_L_x', 'Hip_L_y',
'Knee_L_x', 'Knee_L_y', 'Ankle_L_x', 'Ankle_L_y', 'Toes_L_x',
'Toes_L_y', 'ToesEnd_L_x', 'Toes... | rahul-islam/posenet-python | webcam_demo.py | webcam_demo.py | py | 5,792 | python | en | code | null | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "cv2.putText",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "cv2... |
30478421727 | import pprint
import numpy as np
import tensorflow as tf
import tensorflow_datasets as tfds
import tensorflow_ranking as tfr
import tensorflow_recommenders as tfrs
import collections
def _create_feature_dict():
"""Helper function for creating an empty feature dict for defaultdict."""
return {"embeddings": [], "r... | colinfritz-ai/GAP_Recommender_System_MVP | GAP_Recommender_System_Utilities.py | GAP_Recommender_System_Utilities.py | py | 3,307 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.RandomState",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.concat",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.ra... |
30160636048 | import pytest
from django.urls import reverse
from mixer.backend.django import mixer
pytestmark = [pytest.mark.django_db]
def test_get_user_list(api_client):
"""Получение списка пользователей."""
url = reverse('users')
response = api_client.get(url)
assert response.status_code == 200
def test_new_... | X-Viktor/FLStudy | users/tests/api/test_users.py | test_users.py | py | 627 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pytest.mark",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.urls.reverse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mixer.backend... |
72387880423 | # -*- coding:utf-8 -*-
from scrapy import Spider
from scrapy.selector import Selector
from qhpage.items import QhpageItem
class QhpageSpider(Spider):
name = "qhpage"
allowed_domains = ["stackoverflow.com"]
start_urls = [
"http://stackoverflow.com/questions?pagesize=50&sort=newest",
]
def ... | yangaoquan/qhpage | qhpage/spiders/qhspider.py | qhspider.py | py | 796 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "scrapy.selector.Selector",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "qhpage.items.QhpageItem",
"line_number": 17,
"usage_type": "call"
}
] |
3592662594 | from fastapi import APIRouter, Depends, HTTPException, UploadFile
from sqlalchemy.orm import Session
from typing import List
from db.database import get_db
from security.auth import oauth2_scheme, get_current_user
from . import schemas, crud
router = APIRouter()
@router.post("/events/add")
async def add_event(tex... | ostrekodowanie/Synapsis | backend/api/events/routes.py | routes.py | py | 1,070 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fastapi.UploadFile",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "fastapi.D... |
27158727859 | """
CartoonPhoto
Yotam Levit
Date: 13/11/2020
"""
import cv2
def read_image(image_name):
return cv2.imread(image_name)
def get_edged(image):
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
grey = cv2.medianBlur(gray, 5)
edges = cv2.adaptiveThreshold(gray, 255,
cv2.AD... | yotamlevit/CartoonPhoto | Convertor.py | Convertor.py | py | 961 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cv2.medianBlur",
... |
38092864913 | import abc
import collections
import copyreg
import enum
import functools
import inspect
import logging
import operator
import random
import string
import typing
from .. import _exception, _struct
from . import series
if typing.TYPE_CHECKING:
from forml.io import dsl
LOGGER = logging.getLogger(__name__)
class... | formlio/forml | forml/io/dsl/_struct/frame.py | frame.py | py | 30,727 | python | en | code | 103 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "typing.NamedTuple",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "ab... |
16558040325 | import network # Importar librerías necesarias
import socket
import time
import secrets # Librería con las credenciales de tu red Wi-Fi
from machine import Pin
#Asignación de pin para el LED
led = Pin(15, Pin.OUT)
# Configuración de red Wi-Fi
wlan = network.WLAN(network.STA_IF)
wlan.active(True)
wlan.config(pm = 0... | LuisSkap/ServerRaspberryPiPICO | Led_1.py | Led_1.py | py | 3,618 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "machine.Pin",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "machine.Pin.OUT",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "network.WLAN",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "network.STA_IF",
"lin... |
8135943468 | from accounts.serializers import UserSerializer
from django.shortcuts import redirect
from django.conf import settings
from django.contrib.auth import get_user_model
from rest_framework.generics import CreateAPIView
from rest_framework.views import APIView
from rest_framework import serializers, status
from rest_frame... | QuocHung52/course-pool-react | backend/accounts/views.py | views.py | py | 3,658 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.conf.settings.BASE_URL",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.BASE_FRONTEND_URL",
"line_number": 16,
"usage_type": "attrib... |
74253274663 | """ Module containing implementation of evolutionary computation algorithms, such as:
- basic Evolutionary Algorithm
- Genetic Programming
- Evolutionary Strategies
for solving the cases (see 'cases' module).
"""
import random
import copy
from typing import Tuple, Union, Dict, Any, List
from dea... | JiriPavela/perun-optimization-evolution | src/evolution/ec.py | ec.py | py | 19,236 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Any",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 75,... |
5603106879 | import discord
from utils.auth import AuthManager
class Account(discord.Cog):
@discord.slash_command(name="register", description="Register using your discord username")
async def register(self, ctx):
AuthManager.registerGuild(ctx.author)
AuthManager.registerUser(ctx.author)
await ctx.... | liang799/rivenDealer | cogs/account.py | account.py | py | 517 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "discord.Cog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "utils.auth.AuthManager.registerGuild",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "utils.auth.AuthManager",
"line_number": 8,
"usage_type": "name"
},
{
"api_nam... |
73881856745 | import sys
import os
from numpy.lib.arraysetops import isin
from argparse import ArgumentParser
sys.path.insert(1, './tendims')
sys.path.insert(2, './complexity')
sys.path.insert(3, './sentiment')
sys.path.insert(4, './empathy')
import logging
import json
import numpy as np
import wget
import pickle
import oyaml as ya... | Gabryxx7/nlp-flask-server | nlp_flask_server.py | nlp_flask_server.py | py | 20,471 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "sys.path.insert",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
33403799483 | import os.path
import bitarray
# Класс создан для хранения предыдущего блока и ксора переданного с предудущим для последующего сохранения
class CBCEncrypter:
def __init__(self, init_key: bitarray.bitarray) -> None:
super().__init__()
# Ключ инициализации
self.key = init_key
self.p... | remoppou/CTF | crypto/Feistel-song/solution/solve.py | solve.py | py | 8,778 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "bitarray.bitarray",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "bitarray.bitarray",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "bitarray.bitarray",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "b... |
36570521283 | import json
import math
import re
import os
import boto
import tinys3
import random
from django.shortcuts import render, redirect
from django.http.response import HttpResponse, HttpResponseRedirect
from django.contrib.auth.decorators import login_required
from django.conf import settings
from django.utils import timez... | MicroPyramid/opensource-job-portal | pjob/views.py | views.py | py | 117,784 | python | en | code | 336 | github-code | 36 | [
{
"api_name": "peeldb.models.Subscriber.objects.filter",
"line_number": 137,
"usage_type": "call"
},
{
"api_name": "peeldb.models.Subscriber.objects",
"line_number": 137,
"usage_type": "attribute"
},
{
"api_name": "peeldb.models.Subscriber",
"line_number": 137,
"usage_typ... |
9019137787 | from chessboard import *
import pygame
import sys
def redraw(screen, board, pieces, square_size, WHITE, GREY):
# Draw the chess board
for row in range(8):
for col in range(8):
if (row + col) % 2 == 0:
color = WHITE
else:
color = GREY
p... | Miesjell/chess | main.py | main.py | py | 6,010 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.draw.rect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pygame.transform.smoothscale",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame... |
20422534772 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="webull",
version="0.6.1",
author="ted chou",
description="The unofficial python interface for the WeBull API",
license='MIT',
author_email="ted.chou12@gmail.com",
long_description=... | tedchou12/webull | setup.py | setup.py | py | 1,036 | python | en | code | 576 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 16,
"usage_type": "call"
}
] |
30569661147 | """
Привет! ID успешной посылки: 54853357
_____________________________________
Задача:
Гоша реализовал структуру данных Дек, максимальный размер которого определяется заданным числом. Методы push_back(x),
push_front(x), pop_back(), pop_front() работали корректно. Но, если в деке было много элементов, программа работал... | fenixguard/yandex_algorithms | sprint_2/final_tasks/deque.py | deque.py | py | 9,249 | python | ru | code | 2 | github-code | 36 | [
{
"api_name": "typing.Tuple",
"line_number": 133,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 133,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 144,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_numb... |
10739040334 | from PyQt5.QtWidgets import *
from PyQt5.QtCore import Qt
from QLed import QLed
class Box(QGroupBox):
instances = []
def __init__(self, name, opcID='opcID', horizontal_spacing=10, width=100):
#self.setTitle(name)
super().__init__(name)
self.instances.append(self)
self.opcName=name
mainLayou... | ValdsteiN/metabolon-gui | components/widgets/box.py | box.py | py | 3,168 | python | en | code | null | github-code | 36 | [
{
"api_name": "QLed.QLed",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "QLed.QLed.Green",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "QLed.QLed.Circle",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "QLed.QLed",
... |
1080065395 | from django.contrib import admin
from django.urls import path
from form1 import views
urlpatterns = [
path('form1', views.index,name='index'),
path('form2', views.form2, name='Supervisor'),
path('', views.login_view, name='home'),
path('signup', views.signup_view, name='signup'),
path('menu', views... | prajwalgh/QuantumGIS-SIH-PH | mainbody/form1/urls.py | urls.py | py | 1,079 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "form1.views.index",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "form1.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
... |
17702834387 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 1 19:59:15 2023
@author: rockerzega
"""
from clases import SimpleRNN, STData, RNN
from torch.utils.data import DataLoader
from funciones import fit, generador, RSME, predict, plot_series
# preparacion de la data simulada
n_steps = 50
series = gen... | rockerzega/rnn-ejemplo | src/rnn-lib.py | rnn-lib.py | py | 1,606 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "funciones.generador",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "clases.STData",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "clases.STData",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "clases.STData",
"... |
28704089727 | #!/usr/bin/env python3
import os
import sys
from pathlib import Path
import logging
from pdf_tool import PDF_Tool
from form import *
from PySide2.QtWidgets import QApplication, QMainWindow
from PySide2.QtCore import Qt, QObject, QEvent
from PySide2.QtGui import QIcon, QMouseEvent
os.environ["QT_AUTO_SCREEN_SCALE_FAC... | GschoesserPhilipp/Pdf-Tool-GUI | mainwindow.py | mainwindow.py | py | 10,229 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtCore.Qt... |
32805054000 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import svm
import time
data = pd.read_csv('wdbc.data')
# data.info()
# data.columns
# replace 'M' and 'B' with 1 and 0
data['diagnosis'] = data['diagnosis'].map({'M':1,'B':0})
print (data['diagnosis'])
# dataset[1] = dataset[1].map({'M... | Siyuan-gwu/Machine-Learning-SVM-Diagnostic | venv/SVM.py | SVM.py | py | 2,386 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "num... |
7737901543 | from django.contrib import admin
from django.urls import include, path
from drf_yasg import openapi
from drf_yasg.views import get_schema_view
from rest_framework import permissions
schema_view = get_schema_view(
openapi.Info(
title="Wallet API",
default_version='v1',
description="Applicati... | sheirand/Wallet | core/urls.py | urls.py | py | 743 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "drf_yasg.views.get_schema_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "drf_yasg.openapi.Info",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "drf_yasg.openapi",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dr... |
42576586601 | """" Detecção de Relógio """
import cv2
classificador = cv2.CascadeClassifier('cascades\\relogios.xml')
imagem = cv2.imread('outros\\relogio2.jpg')
imagemcinsa = cv2.cvtColor(imagem, cv2.COLOR_BGR2GRAY)
detectado = classificador.detectMultiScale(imagemcinsa, scaleFactor= 1.01, minSize=(10,10), minNeighbors=10)
fo... | alans96/PythonProject | Computer Vision/1 Detecção de Faces com Python e OpenCV/6 exe.py | 6 exe.py | py | 459 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"... |
22355060265 | import re
from collections import ChainMap
from os import environ
from pathlib import Path
from subprocess import run
import pytest
import yaml
here = Path(__file__).absolute().parent
tests_dir = here.parent
root = tests_dir.parent
# Need to be in root for docker context
tmp_dockerfile = Path(root / "Dockerfile.mlrun... | mlrun/mlrun | tests/integration/test_notebooks.py | test_notebooks.py | py | 3,076 | python | en | code | 1,129 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_n... |
11580789914 | import re
import chatterbot
from chatterbot.trainers import ListTrainer
from chatterbot import ChatBot
import logging
logger = logging.getLogger()
logger.setLevel(logging.ERROR)
f = open('E:\\ProjectWork\\ImranV.1.0\\dataset.txt','r')
train_data = []
for line in f:
m = re.search('(Q:|A:)?(.+)', line)
... | AakashMaheedar1998/ChatBot | Chatbot2.py | Chatbot2.py | py | 1,320 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "chatterbot.ChatBot",
... |
9627005158 | import numpy as np
import pandas as pd
from nltk.tokenize import RegexpTokenizer
from nltk.corpus import stopwords
from PyQt5 import QtGui
from PyQt5.QtWidgets import *
import sys
from PIL import Image
from wordCloud.WC import Ui_MainWindow
from wordcloud import WordCloud
from wordcloud import ImageColorGenerator... | LeeDong-Min/WordCloud | text_mining(moon_and_trump).py | text_mining(moon_and_trump).py | py | 5,583 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "wordCloud.WC.Ui_MainWindow",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
... |
21398256786 | # /usr/bin/python
# -*- coding: utf-8 -*-
"""
This program is to:
reconstruct sentences from a given data file
CS137B, programming assignment #1, Spring 2015
"""
import re
__author__ = 'Keigh Rim'
__date__ = '2/1/2015'
__email__ = 'krim@brandeis.edu'
if __name__ == "__main__":
import argparse
parser = argpa... | keighrim/bananaNER | scripts/sent_reconst.py | sent_reconst.py | py | 1,087 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 34,
"usage_type": "call"
}
] |
16154335818 |
from django import forms
from django.utils.translation import ugettext_lazy as _
from django.core.validators import EmailValidator
from django.conf import settings
from django.core.mail import EmailMessage
from django.template.loader import get_template
from crispy_forms.helper import FormHelper
from crispy_forms.la... | langcog/web-cdi | webcdi/cdi_forms/forms/contact_form.py | contact_form.py | py | 2,511 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "django.forms.Form",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.for... |
40536503890 | import requests
import json
import os
import _G
from datetime import datetime
import utils
PREV_NEWS_FILE = '.mtd_prevnews.json'
NEWS_URL = os.getenv('MTD_NEWS_URL')
WEBHOOK_URL = os.getenv('MTD_WEBHOOK_URL')
MTD_NEWS_TAG = {
1: 'MAINTENANCE',
2: 'UPDATE',
3: 'GACHA',
4: 'EVENT',
5: 'CAMPAIGN',
6: 'BU... | ken1882/RD_Terminator_3k | module/mtd_news.py | mtd_news.py | py | 3,622 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": ... |
22136785531 | import os
import time
import json
import torch
import random
import warnings
import torchvision
import numpy as np
import pandas as pd
import pathlib
from utils import *
from data import HumanDataset
from data import process_df
from data import process_submission_leakdata_full
from data import process_loss_weight
from... | felixchen9099/kaggle_human_protein | my_utils/wrong_classification.py | wrong_classification.py | py | 6,274 | python | en | code | 31 | github-code | 36 | [
{
"api_name": "random.seed",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
... |
70992284585 | import json, hashlib, hmac, requests
def json_encode(data):
return json.dumps(data, separators=(',', ':'), sort_keys=True)
def sign(data, secret):
j = json_encode(data)
print('Signing payload: ' + j)
h = hmac.new(secret, msg=j.encode(), digestmod=hashlib.sha256)
return h.hexdigest()
cl... | YamatoWestern/investment-bot | bitkub_helpers/bitkub_caller.py | bitkub_caller.py | py | 2,601 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.dumps",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "hmac.new",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number"... |
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