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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
14642614581 | import sys, math, os, json, copy
import nltk
from nltk.corpus import stopwords
from nltk.tokenize import RegexpTokenizer
from nltk.tokenize import sent_tokenize
def sigmoid(max):
#sigmoid that calculates the influnce score
c=1
def calc(x):
return((max/(1+math.exp(-x*c))-max/2)*2)
return calc
d... | prodionov/articleAnalyzerAPI | restAPI/processing/influence_score.py | influence_score.py | py | 2,570 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.exp",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.sent_tokenize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.... |
42520410751 | from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, login, logout
from django.contrib import messages
from .forms import UserRegisterForm, UserLoginForm
from django.conf import settings
from .utils import prepare_image, face_detect, match_face
from django.http import JsonResponse... | Maryam077/istudyfaceauth | FaceAuth/views.py | views.py | py | 3,536 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 20,
"usage_type": "name"
},
{
"api_name"... |
971598720 | import numpy as np
import torch
import torch.nn.functional as func
from torchvision.utils import save_image
from matplotlib import colors
from PIL import Image
import matplotlib.pyplot as plt
cmap = colors.ListedColormap(['b','g','y','r'])
overflow_kernel = torch.tensor([
[0,1,0],
[1,0,1],
[0,1,0]])
over... | TomLemsky/pytorch-fractals | sandpile_torch.py | sandpile_torch.py | py | 1,028 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.colors.ListedColormap",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.colors",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.tensor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.z... |
73470152694 | import math
import time
from abc import ABC
from typing import Optional
import loralib as lora
import torch
import torch.distributed as dist
import wandb
from coati.models.loss import GPTLMLoss
from torch import nn
from torch.optim import Adam, Optimizer
from torch.optim.lr_scheduler import LambdaLR
from torch.utils.d... | binmakeswell/ColossalChat | coati/trainer/sft.py | sft.py | py | 6,451 | python | en | code | 58 | github-code | 21 | [
{
"api_name": "abc.ABC",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "strategies.Strategy",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "torch.optim.Optimizer",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.Da... |
1117528613 | """
Utils related to visualization of inputs, results or visualization in general
Currently includes:
- interactive prediction viewer for tiny images classification
- simple confusion matrix
Creation Date: April 2020
Creator: GranScudetto
"""
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
... | GranScudetto/AI-Example-Zoo | utils/visualization.py | visualization.py | py | 18,774 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.ndarray",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 75,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.... |
7226373356 | import numpy as np
import matplotlib.pyplot as plt
from Code import gradient_descent_solver
from Code import newton_solver
from Code import bfgs_solver
from Code import solver
from scipy.optimize import rosen, rosen_der, rosen_hess
def rosenbrock_f(x):
return rosen(x)
def rosenbrock_grad_f(x):
return rosen_... | icsmith97/ProjectFiles | Code/figure_contour_plots.py | figure_contour_plots.py | py | 2,434 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scipy.optimize.rosen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.rosen_der",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.rosen_hess",
"line_number": 19,
"usage_type": "call"
},
{
"api_name"... |
71077566133 | import torch
import torch.nn as nn
class NeuralNet(nn.Module):
def __init__(self, input_size, hidden_size, num_classes):
"""
NeuralNet.__init__():
input_size: number of patterns (inputs)
hidden_size: number of nodes in hidden layer
num_classes: numbe... | bmai53/chatbot | bot/nn_model.py | nn_model.py | py | 1,016 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
20771139457 | from anaconda_navigator.utils.py3compat import request
from django.http import HttpResponse
from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt
from Django_mem.dao_mem import DaoMem
def mem(request):
dao = DaoMem()
list = dao.selectList()
return render(reques... | Sun6004/python-pratice | Django_mem/Django_mem/views.py | views.py | py | 1,631 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "Django_mem.dao_mem.DaoMem",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "anaconda_navigator.utils.py3compat.request",
"line_number": 11,
"usage_type": "argument"... |
33044285803 | import typing
import uuid
from typing import Optional
from barcode_api.config.database import Base, SequentialIdMixin, CreatedAtUpdatedAtMixin
from sqlalchemy import TEXT, ForeignKey, String
from sqlalchemy.orm import Mapped, mapped_column, relationship
if typing.TYPE_CHECKING:
from .image_data import ImageData
... | Mewelopers/barcode-api | barcode_api/models/product.py | product.py | py | 2,036 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "barcode_api.config.database.Base",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "barcode_api.config.database.SequentialIdMixin",
"line_number": 13,
"usage_type"... |
34645952237 | from __future__ import print_function
from collections import deque
__author__ = 'inmcm'
class SimonCipher(object):
"""Simon Block Cipher Object"""
# Z Arrays (stored bit reversed for easier usage)
z0 = 0b01100111000011010100100010111110110011100001101010010001011111
z1 = 0b0101101000011001001111101... | inmcm/Simon_Speck_Ciphers | Python/simonspeckciphers/simon/simon.py | simon.py | py | 13,367 | python | en | code | 92 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 103,
"usage_type": "call"
}
] |
36756284224 | import torch
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
IMGSIZE = 512 if torch.cuda.is_available() else 128
CNN_NORMALIZATION_MEAN = torch.tensor([0.485, 0.456, 0.406]).to(DEVICE)
CNN_NORMALIZATION_STD = torch.tensor([0.229, 0.224, 0.225]).to(DEVICE)
CONTENT_LAYERS_DEFAULT = ['conv_4']
STY... | bekhnam/Style-transfer | config.py | config.py | py | 391 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.device",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_avail... |
31983495057 | import collections
import enum
from . import paths
from . import utility
class Event:
class Type(enum.Enum):
BIRTH = "BIRTH"
CREATION = "CREATION"
VIRTUAL = "VIRTUAL"
DEATH = "DEATH"
def adds_agent(self):
return self in {self.BIRTH, self.CREATION}
def... | smailliwcs/pwscripts | python/polyworld/event.py | event.py | py | 1,348 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 53,
"usage_type": "call"
}
] |
25289050772 | import sys
sys.path.append("../../")
import gettext
import uuid
import traceback
import appJar
#import hs602
# Setup gettext.
gettext.install('Hs602util')
class Gui(appJar.gui):
"""Simple HS602 utility using appJar."""
def __init__(self):
super().__init__()
# Some defaults.
# Window ... | jarvisteach/appJar | examples/issues/issue279.py | issue279.py | py | 8,127 | python | en | code | 615 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "gettext.install",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "appJar.gui",
"line_nu... |
14150847527 | import pandas as pd
import numpy as np
from helper import conversion
# single_1 = (conversion(2**1, [1,4,7,10,13])) == (1,)
# single_2 = (conversion(2, [1,4,7,10,13])) == (1,)
# single_3 = (conversion(2**10, [1,4,7,10,13])) == (10,)
# single_4 = (conversion(64, [1,4,6,7,10,13])) == (10,)
# # two codings
# double_1 = ... | theglobaljukebox/cantometrics | recode.py | recode.py | py | 2,219 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
28433071663 | from typing import Dict, Set, Optional
from random import shuffle
from ._player import Player
from .board._board import Board
from .board._coords import Coords
from ._roll_yield import RollYield
from .errors import NotEnoughResourcesError
from .board._building_type import BuildingType
from ._development_card import De... | josefwaller/PyCatan2 | src/pycatan/_game.py | _game.py | py | 10,544 | python | en | code | 16 | github-code | 21 | [
{
"api_name": "board._board.Board",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "board._board",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "_player.Player",
... |
18852736279 | import json
import argparse
import os
import numpy as np
from sklearn.model_selection import train_test_split
import pandas as pd
def isascii(s):
"""Check if the characters in string s are in ASCII, U+0-U+7F."""
return len(s) == len(s.encode())
def create_sentences(sentences,key,dict):
data = dict[key]
... | mallorbc/GPT_Neo_quotes_dataset | quotes_dataset.py | quotes_dataset.py | py | 2,329 | python | en | code | 27 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "json.load",
... |
35593429328 | import aiohttp
import asyncio
import logging
import pkg_resources
from functools import partial
from ..util import obfuscate
logger = logging.getLogger(__name__)
HEADERS = {
'User-Agent': 'GeoTiler/{}'.format(pkg_resources.get_distribution('geotiler').version),
}
# client session params
PARAMS = {
'headers'... | wrobell/geotiler | geotiler/tile/io.py | io.py | py | 2,189 | python | en | code | 41 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pkg_resources.get_distribution",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "aiohttp.ClientError",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name... |
39648663513 | import numpy as np
from sklearn import preprocessing
import matplotlib.pyplot as plt
from collections import defaultdict
from scipy.optimize import minimize
from sklearn import mixture
def load_dataset(filename):
"""
:param filename: *.dat file
:return: numpy matrix samples x features, and string list of m... | BinRoot/Fluent-Extractor | svm_rank_linux64/process_actions_gmm.py | process_actions_gmm.py | py | 7,586 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "numpy.asarray",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "matplo... |
2702767227 | #!/usr/bin/env python
#
# Author: Qiming Sun <osirpt.sun@gmail.com>
#
'''
Non-relativistic NMR shielding tensor
'''
import sys
import time
from functools import reduce
import numpy
from pyscf import lib
from pyscf.lib import logger
from pyscf.lib import parameters as param
from pyscf.scf import _vhf
from pyscf.scf i... | sunchong137/pyscf_2017 | scf/rhf_nmr.py | rhf_nmr.py | py | 11,743 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.arange",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.einsum",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number"... |
71259734453 | import json
import requests
import redis
import websocket
import asyncio
import time
import datetime
async def receive_sepsis(ws_pat):
return ws_pat.recv()
async def receive_sepses_doc(ws_doc):
return ws_doc.recv()
async def receive_data_from_start_sepsis():
# ws_pat = websocket.WebSocket()
# ws_p... | Chinmay-395/Sepsis-Website | backend/testing_python_script.py | testing_python_script.py | py | 1,076 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "websocket.WebSocket",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "asyncio.sleep",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "asyncio.sleep",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loo... |
73004969332 | import heapq
import itertools
import math
# 10.1 MERGE SORTED FILES
def sort_stocks(dir, result_f):
minheap = []
for file in dir:
with open(file, "r") as in_file:
for line in infile:
line = line.split(",")
heapq.heappush(minheap, (line[0], line[1:]))
with open(result_f, "w") as out_file:
while heap:... | angishen/algorithms-datastructures | ch10_heaps.py | ch10_heaps.py | py | 5,451 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "heapq.heappush",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line... |
41335309732 | from datetime import date
from django.shortcuts import render, redirect, get_object_or_404
from django.contrib.auth.decorators import login_required
from .models import Team, VideoGame, Gamer
from .forms import TeamForm, VideogameForm, GamerForm
def wikiIndex(request):
teams_count = Team.objects.all().count()
... | diegoamorin/vilvox | apps/wiki/views.py | views.py | py | 6,086 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "models.Team.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Team.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.Team",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.V... |
38282711098 | '''
Desafio 105:
Faça um programa que tenha uma função notas() que pode receber várias notas de
alunos e vai retornar um dicionário com as seguintes informações:
- Quantidade de notas
- A maior nota
- A menor nota
- A média da turma
- A situação (opcional)
Adicione também as docstrings da função.
'''
from statisti... | marcosdemelo00/Python-Exercises-CursoemVideo | World 3 - ex072 to ex115/ex105 - Analisando e gerando dicionarios (Analyzing and generating dictionaries).py | ex105 - Analisando e gerando dicionarios (Analyzing and generating dictionaries).py | py | 948 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "statistics.mean",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 28,
"usage_type": "call"
}
] |
27952293422 | import random
from datetime import date
from datetime import datetime
from time import mktime, gmtime
from dateutil.parser import parse as dateutil_parse
from dateutil.tz import tzlocal
from .base import Generator
def to_timestamp(dt):
if getattr(dt, 'tzinfo', None) is not None:
dt = dt.astimezone(tzloc... | peopledoc/populous | populous/generators/date.py | date.py | py | 1,987 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "dateutil.tz.tzlocal",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.mktime",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "datetime.date",
... |
854839274 | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 16 17:10:16 2015
@author: Mathew Topper
"""
import pyclbr
import logging
import pkgutil
import traceback
from importlib import import_module
# Set up logging
module_logger = logging.getLogger(__name__)
class Plugin(object):
'''Plugin discovery control classes.'''... | DTOcean/aneris | aneris/utilities/plugins.py | plugins.py | py | 4,385 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pkgutil.iter_modules",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "pyclbr.readmodule",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "pyclbr.Class... |
36605111600 | #!/usr/local/bin/python3
# install: `pip3 install spotipy`
import spotipy
import json
import os
from spotipy.oauth2 import SpotifyOAuth
CLIENT_ID=""
APP_CLIENT_SECRET=""
APP_REDIRECT_URI="http://localhost:3000/discography"
sp = spotipy.Spotify(auth_manager=SpotifyOAuth(client_id=CLIENT_ID,
... | beabout/claybeabout.com | scripts/spotify.py | spotify.py | py | 2,020 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "spotipy.Spotify",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "spotipy.oauth2.SpotifyOAuth",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "os.system",
... |
830898354 |
import copy
import datetime
import http
import json
import os
import re
from requests.sessions import Session
import simplejson
import tempfile
import threading
import time
import traceback
import urllib
from zipfile import ZipFile
from flask import Flask
from flask import request
from flask import send_file
from fla... | bilalkamoon/stopmurdoch.com | Backend/backend.py | backend.py | py | 32,615 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "flask_cors.extension.CORS",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.MetaData",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.... |
16998037761 | import json
from pathlib import Path
from pants.testutil.pants_integration_test import run_pants, setup_tmpdir
build_root_marker = Path.cwd().joinpath("BUILDROOT")
def test_reading_project_version_target() -> None:
"""Run a full Pants process as it would run on the command line reading a
`version_file` targ... | AlexTereshenkov/cheeseshop-query | pants-plugins/internal_plugins/project_version/rules_full_pants_test.py | rules_full_pants_test.py | py | 1,056 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path.cwd",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pants.testutil.pants_integration_test.setup_tmpdir",
"line_number": 17,
"usage_type": "call"
},
{
"ap... |
23097811743 | from data_sets.forms_graph_pair import FormsGraphPair
from data_sets import forms_graph_pair
import math
import sys, os
from matplotlib import pyplot as plt
from matplotlib import gridspec
from matplotlib.patches import Polygon
import numpy as np
import torch,cv2
from utils.util import ensure_dir
def write(data,out_di... | herobd/dessurt | data_sets/NAF_extract_lines.py | NAF_extract_lines.py | py | 4,650 | python | en | code | 46 | github-code | 21 | [
{
"api_name": "numpy.uint8",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "numpy.int0",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_num... |
35982255467 | from functional.chain_of_responsibility.abstract_based_example.team_member import TeamMember
class ViceDirector(TeamMember):
def process(self, task):
if 'meet' in task:
if 'president' in task:
self.meet_someone_else()
return True
if 'sign' in task:
... | TheProrok29/design_patterns_in_python | functional/chain_of_responsibility/abstract_based_example/vice_director.py | vice_director.py | py | 553 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "functional.chain_of_responsibility.abstract_based_example.team_member.TeamMember",
"line_number": 4,
"usage_type": "name"
}
] |
5944125674 | import json
from typing import Dict
from enum import Enum
class ComputeNode:
def __init__(self, cfg: Dict[str, str]):
self.name = cfg["name"]
self.ip = cfg["ip"]
def __str__(self):
return "(name: " + str(self.name) + ", ip: " + str(self.ip) + ")"
class ComputeConnection:
def __... | kylevedder/DecentralizedComputeGraph | compute_graph.py | compute_graph.py | py | 1,873 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Dict",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 52,... |
36337798057 | import requests
from lxml import etree
# 请求头
headers= {
'User-Agent': '...',
'Cookie': '...',
'Host': 'www.365kk.cc',
'Connection': 'keep-alive'
}
# 小说主页
main_url = "http://www.365kk.cc/255/255036/"
# 使用get方法请求网页
main_resp = requests.get(main_url, headers=headers)
# 将网页内容按utf-8规范解码为文本形式
main_text =... | wziqiang/learn_me | a1.py | a1.py | py | 1,651 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_numb... |
31803383416 | import re
import sys
import six
from .errors import ExpectedExpr, UnexpectedExpr, SemanticFailure, raise_parsing_error
from .position import Position, get_line_at_position
from .rules import eof
class _ParseBacktrackError(BaseException):
pass
class _PegState:
def __init__(self, position):
self.posit... | avakar/speg | speg/peg.py | peg.py | py | 5,837 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "errors.raise_parsing_error",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "position.Position",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "rules.eof",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "errors.Expecte... |
37855592896 | '''
DAG for running ETL process
Copy data from S3 to Redshift stage
Create FACT and DIM tables from stage table
Run data quality checks
'''
from datetime import datetime, timedelta
import logging
import os
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.operators.post... | aktakukac/DataEngineeringProject5 | dags/sparkify_dag.py | sparkify_dag.py | py | 5,416 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "logging.info",
"... |
42095135119 |
from flask import Flask
from flask import request, jsonify
import numpy as np
from numpy import array
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Flatten
from keras.layers.convolutional import Conv1D
from keras.layers.convolutional import MaxPooling1D
from keras import b... | javtokas/abc | app.py | app.py | py | 2,876 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.quantile",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.quantile",
"line_num... |
36217934434 | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 31 10:01:17 2017
@author: trandhawa
"""
import numpy as np
import matplotlib.pyplot as plt
from processing_fxns import calibration_wave, adjust_load, plot_wave, moving_avg
plot_num = 0
w = 60
sig = 1
date_ = ''
load_amt = '20lbs'
load_case = '90to450_1'
file_prefix = '... | kaku3687/torque_sensing_dev | load_wtorque.py | load_wtorque.py | py | 3,261 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "processing_fxns.calibration_wave",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.column_stack",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "... |
28064563176 | import sys
import os
library_path = '../libraries'
sys.path.append(library_path)
import numpy as np
import time
import math
import pyqtgraph as pg
from pyqtgraph.Qt import QtCore, QtWidgets
from library_qlabs import QuanserInteractiveLabs
from library_qlabs_qcar import QLabsQCar
from library_qlabs_basic_shape impor... | kjfullert/testing | python/testing/test_qcar_lidar.py | test_qcar_lidar.py | py | 2,764 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.system",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "library_qlabs.QuanserInteractiv... |
1148113911 | #https://school.programmers.co.kr/learn/courses/30/lessons/120871
from collections import defaultdict
def solution(n):
dic = defaultdict(int)
i = 1
idx = 1
while idx <= n:
if i % 3 == 0 or '3' in str(i): #3이 포함되있으면
i += 1
else:
dic[idx] = i
idx += 1
... | julia0926/TIL_Algo | Study/programmers_입문/저주의숫자3.py | 저주의숫자3.py | py | 675 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
}
] |
32270504693 | import time
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
from sklearn.metrics import roc_auc_score
import keras
class callback_ROC(keras.callbacks.Callback):
"""
Custom callback class for Keras which calculates and plots ROC AUCs after each trainin... | tempse/ALICE_ITSupgrade | macros/ML/neuralNets/modules/keras_callbacks.py | keras_callbacks.py | py | 4,613 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "keras.callbacks",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figur... |
7896167218 | from .base import *
from .config_parse import *
from .dbconn import *
from .config_log import get_log_class
from utils import gol
# 初始化全局变量
def set_report_env(termial=False):
app_path = os.path.split(os.path.abspath(sys.argv[0]))[0]
# 打开日志功能
report_log = get_log_class('report.log')
gol.init()
# 添加基... | Shadowhello/HMS | utils/envir_report.py | envir_report.py | py | 2,070 | python | zh | code | 1 | github-code | 21 | [
{
"api_name": "config_log.get_log_class",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.gol.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.gol",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "utils.gol.set_value... |
19784907353 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
Parse weather history for Brno (weather, temperature and wind speed) from
http://pocasi.divoch.cz/
and save it in json file.
"""
import os
import re
import pickle
from glob import glob
from lxml.html import parse
from datetime import datetime, timedelta
class Weather... | jhladka/Weather | weather-download.py | weather-download.py | py | 3,057 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "lxml.html.parse",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
31332620142 | import tensorflow as tf
import matplotlib.pyplot as plt
import numpy as np
import os
from generators import Generator
from discriminators import Discriminator
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("./mnist/data/", one_hot=True)
total_epoch = 100
batch_size = 100
... | fabulousjeong/gan-tensorflow | train.py | train.py | py | 2,674 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "tensorflow.examples.tutorials.mnist.input_data.read_data_sets",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.examples.tutorials.mnist.input_data",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.random.normal",
"line_number... |
8723272276 | """
Unit tests for the DayCountCalculator class in day_count_calculator.py
"""
from datetime import date
from fixedIncome.src.scheduling_tools.day_count_calculator import DayCountCalculator
#-----------------------------------------------------------------------------------------
start_date, end_date = date(2016, 6, ... | aflapan/fixedIncome | fixedIncome/tests/test_scheduling_tools/test_day_count_calculator.py | test_day_count_calculator.py | py | 2,262 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "datetime.date",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "fixedIncome.src.scheduling_tools.day_count_calculator.DayCountCalculator.compute_accrual_length",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "fixedIncome.src.scheduling_tools.day... |
9112636235 | """
Train a machine learning model for the classifier bot. We create a player, and watch it play games against itself.
Every observed state is converted to a feature vector and labeled with the eventual outcome
(-1.0: player 2 won, 1.0: player 1 won)
This is part of the second worksheet.
"""
from api import State, uti... | timothyyu/ml_monorepo | schnapsen/train-ml-bot.py | train-ml-bot.py | py | 5,154 | python | en | code | 59 | github-code | 21 | [
{
"api_name": "bots.rand.rand.Bot",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bots.rand.rand",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"l... |
26613577183 | import sounddevice as sd
from scipy.io.wavfile import write
def rec(secs):
fs = 44100 #standard frequency for audio
secs = int(secs)
if secs > 0 :
sound_record = sd.rec(int(secs * fs), fs, dtype = 'float64', channels = 2)
# this turns our record into a file
write('C:/Users/MONOUSO/... | salexandru-123/Simple-Recording-device | main.py | main.py | py | 379 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sounddevice.rec",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile.write",
"line_number": 11,
"usage_type": "call"
}
] |
10569623803 | import os
import copy
import numpy as np
import matplotlib.pyplot as plt
from JEOL_eds.JEOL_image import JEOL_image
from JEOL_eds.JEOL_spectrum import JEOL_spectrum
from JEOL_eds.misc import _decode
class JEOL_PointLine:
"""Work with JEOL PointLine data (sequence of individual point spectra)
Parameters
... | ialxn/JEOL_eds | JEOL_eds/JEOL_PointLine.py | JEOL_PointLine.py | py | 12,473 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "numpy.fromfile",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "JEOL_eds.misc._decode",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number": 133,
"usage_type": "call"
},
{
"api_name": "JEOL_eds.misc._d... |
9244857811 | from typing import List
class Solution:
def subsetXORSum(self, nums: List[int]) -> int:
if not nums:
return 0
def helper(term, idx):
if idx == len(nums):
return term
return helper(term, idx + 1) + helper(term ^ nums[idx],... | fredzhangziji/Leetcode | Python/Recursion/1863. Sum of All Subset XOR Totals.py | 1863. Sum of All Subset XOR Totals.py | py | 366 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 3,
"usage_type": "name"
}
] |
26682371326 | from flask import Flask, make_response, jsonify, request
from flask_migrate import Migrate
from flask_restful import Api, Resource
from models import db, Apartment, Tenant, Lease
app = Flask( __name__ )
app.config[ 'SQLALCHEMY_DATABASE_URI' ] = 'sqlite:///apartments.db'
app.config[ 'SQLALCHEMY_TRACK_MODIFICATIONS' ] ... | vargasmichael/flask-challenge-apartments | server/app.py | app.py | py | 4,820 | python | en | code | null | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_migrate.Migrate",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.db",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "models.db.init_app",
... |
74947717813 | """
덧셈하여 타겟을 만들 수 있는 배열의 두 숫자 인덱스를 리턴하라.
leetcode: https://leetcode.com/problems/two-sum/
첫번째 수를 뺀 결과 키 조회
"""
from typing import List
def twoSum(nums: List[int], target: int) -> List[int]:
nums_map = {}
# 키와 값을 바꿔서 딕셔너리로 저장
for i, num in enumerate(nums):
nums_map[num] = i
# 타겟에서 첫번째 수를 뺀 ... | zusdn90/Python-Algorithm-Interview | ch07/1-3.py | 1-3.py | py | 715 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
}
] |
6953852141 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 22 11:58:04 2020
@author: ombretta
"""
import torch
import h5py
import os
import pickle as pkl
def check_video_availability(video_list, dataset_path):
new_list = []
with h5py.File(str(dataset_path), 'r') as f:
if "video_ids" in lis... | ombretta/videobagnet | datasets/breakfast.py | breakfast.py | py | 3,365 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "h5py.File",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "torch.load",
"line_number":... |
9710609790 | # -*- coding: utf-8 -*-
"""
Created on Sun Dec 19 22:55:32 2021
@author: Youngbin Moon (y.moon@unibas.ch)
"""
import csv
import argparse
"""
Aim: fuse 3 csv files together so that
each row is sample name, class name, motif score and # of PAS. (including negative control)
"""
def write_fused_csv (fused_csv, o_f... | zavolanlab/SCINPAS | src/fuse_numPAS_motifScore_nextflow.py | fuse_numPAS_motifScore_nextflow.py | py | 6,867 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "csv.writer",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 144,
"usage_type": "call"
}
] |
40586314117 | from flask import Flask, request
from flask_migrate import Migrate
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager
from flask_mail import Mail
from flask_moment import Moment
from flask_bootstrap import Bootstrap
from flask_babel import Babel
from flask_babel import lazy_gettext as _l
imp... | Oskarovsky/repeat | app/__init__.py | __init__.py | py | 3,111 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "config.Config",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask_migra... |
72851144053 | from flask import Flask, url_for, session, request, jsonify, redirect
from flask_oauthlib.client import OAuth
CLIENT_ID = 'SjHWna6K40tQdqyVAxEDjR5EGpbLM741oOWJRSz0'
CLIENT_SECRET = 'n7T1j51NOFn3ARfrsFOnCrblDUBnPz2yIKcQ5VhSMye3W1YK01'
app = Flask(__name__)
app.debug = True
app.secret_key = 'secret'
oauth = OAuth(app)
... | basicarrero/appDistr_repo | client.py | client.py | py | 2,786 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_oauthlib.client.OAuth",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "flask.session.po... |
10458553701 | from __future__ import absolute_import, division, print_function
from collections import defaultdict
import logging
import sqlite3
import pandas as pd
from otestpoint.interface.measurementtable_pb2 import MeasurementTable
from etceanalytics import utils
from etceanalytics.analyzer import Analyzer
from etceanalytics.pr... | adjacentlink/python-etce | etceanalyzers/otestpoint.py | otestpoint.py | py | 8,988 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "etceanalytics.analyzer.Analyzer",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "etceanalytics.utils.concat_sqlite_trial_tables",
"line_number": 62,
"usage_type":... |
36705965086 | import pandas as pd
import torch
from torch.utils.data import Dataset
from transformers import AutoTokenizer, AutoConfig
class SSTDataset(Dataset):
def __init__(self, filename, maxlen, tokenizer):
#This is the file where sentences and labels are stored (its a .tsv format file)
self.df = pd.read_csv(filename, de... | frozentoad9/SentimentAnalysis | dataset.py | dataset.py | py | 1,178 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
}
] |
20058945641 | import os
from sklearn.metrics import adjusted_rand_score, adjusted_mutual_info_score
import numpy as np
from pathlib import Path
import matplotlib.pyplot as plt
from chain import Chain
from extractor import Extractor
from grouper import Grouper, KMeansGrouper, SpectralGrouper, COPKMeansGrouper, BirchGrouper, AggloGrou... | Tadlai/auroral-classification | candidates_selection.py | candidates_selection.py | py | 6,151 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "path_dataclass.Paths",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
15898435706 | import pandas as pd
import requests
from bs4 import BeautifulSoup
import io
from PyPDF2 import PdfFileReader
import random
from win10toast import ToastNotifier
from datetime import date
import pdf_to_list
import athan_class
import schedule
import time
# Global values for the position each item is at in ... | okatoue/BCMA_vic_athan_notifier | files/main.py | main.py | py | 3,429 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.date.today",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pdf_to_list.new_times",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "athan_class.A... |
31221178730 | from unittest import result
def to_fahrenheit(temp_in_c):
if(type(temp_in_c) == int or type(temp_in_c) == float):
result = temp_in_c * 1.8 + 32
return(result)
else:
return(None)
def string_length(string1):
if(type(string1) == str):
result = 0
for i in string1:
... | c-mahn/hcu-ma-gmt-software-and-interface-technology | exam/exam.py | exam.py | py | 894 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.result",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "unittest.result",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "unittest.result",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "unittest.result",
"... |
11137046937 | """ Script to run the streamlab demo """
from __future__ import annotations
import time
import mplfinance as mpf
import streamlit as st
from dotenv import load_dotenv
from extract_data_logs import get_combined_data
from plot_fixed_rate import calc_fixed_rate, plot_fixed_rate
from plot_ohlcv import calc_ohlcv, plot_o... | wakamex/evm_bots | examples/hackweek_demo/run_demo.py | run_demo.py | py | 3,578 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "mplfinance.figure",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "elfpy.data.postgres.initialize_session",
"line_number": 39,
"usage_type": "call"
},
{
"api_n... |
855595161 | from parsel import Selector
import logging
try:
# Python 3
from urllib.parse import urlparse, urljoin
except ImportError:
# Python 2
from urlparse import urlparse, urljoin
logger = logging.getLogger()
class Result(object):
"""Domain representing a single result"""
def __init__(self, url, asset... | fayimora/asset-aggregator | crawler.py | crawler.py | py | 6,696 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "parsel.Selector",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "urlparse.urlpars... |
4643107264 | import torch
import torch.nn.functional as F
import torch.nn as nn
from bert4torch.layers import LayerNorm
from bert4torch.models import build_transformer_model, BaseModel
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
# 模型参数：训练
epochs = 20 # 训练轮数
steps_per_epoch = None # 每轮步数
maxlen = 2... | nonames819/NER-Affection | NER&Affection/baidu_ner/model.py | model.py | py | 7,132 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
42758854959 | import torch
from torch import nn
from torch import optim
from torch.autograd import Variable
from torchvision import datasets, transforms, models
from collections import OrderedDict
import utility
from PIL import Image
def get_dataloders(data_dir, use_gpu, num_workers, pin_memory):
''' Return dataloaders for tra... | craig-martinson/aipnd-project | model_helper.py | model_helper.py | py | 11,687 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.RandomRotation",
"line_number": 22,
"usage_type": "call"
}... |
31625017670 | #!/usr/bin/python
import requests
import sys
import argparse
from xml.etree import ElementTree
parser = argparse.ArgumentParser(description="Retrieve train details from Irish Rail realtime API.")
parser.add_argument('dept_station', metavar='<dept station>', type=str, help="the departure station.")
parser.add_argumen... | maallen/irishrail | irishrail.py | irishrail.py | py | 1,661 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "... |
21050689543 | from django.urls import path
from apps.order.views import *
urlpatterns = [
path('place_order/', PlaceOrderView.as_view(), name='place_order'),
path('order_commit/', OrderCommitView.as_view(), name='order_commit'),
path('order_pay/', OrderPayView.as_view(), name='order_pay'),
path('order_check/', Order... | yhhuang1996/Django-B2C-Project | ttsx/apps/order/urls.py | urls.py | py | 438 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
36691769863 | import PySimpleGUI as sg
from trader import Trader
from get_transcription import get_transcription
layout_search_by_id = [ # Отрисовка для поиска звонка по ИД
[sg.Text('DIALOG ID'), sg.InputText(key='-dialog_id-'),
sg.Submit(button_text='Найти'), sg.Submit(button_text='Очистить'), sg.Text('MODE: '), sg.Submi... | Melikhov-p/DEUS_IVR | main.py | main.py | py | 3,066 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PySimpleGUI.Text",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.InputText",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Submit",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Te... |
18066301241 | from loader import build_loader
from model import build_model
from trainer import build_trainer
from inference import build_inference, Inference_COCO
from utils import ensure_dir
import logging, coloredlogs
import argparse
import yaml
import os
import torch
import random
import json
from os import listdir
from os.path ... | UCSB-NLP-Chang/Diffusion-SpaceTime-Attn | layout_predictor/LayoutTransformer/vis.py | vis.py | py | 8,304 | python | en | code | 69 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "utils.ensure_di... |
33597933526 | from django.shortcuts import render, redirect
from django.views import View
from .models import Coupon
from .forms import CouponApplyForm
# Create your views here.
from django.utils import timezone
from django.contrib import messages
from django.utils.decorators import method_decorator
from django.views.decorators.csrf... | bakhshb/myshop | coupons/views.py | views.py | py | 1,261 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.views.View",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "for... |
30981045122 | import requests
import hashlib
import random
import time
import socket
import threading
import pwdc
user_num_low = 111111111
user_num_max = 9999999999
user_nbr = user_num_low
mutex=threading.Lock()
def get_user_nbr():#构造用户邮箱
mutex.acquire(3)
global user_nbr
user_name = '%s%s' % (str(use... | HuazhangHu/Crack-verification-code | 暴力破解密码.py | 暴力破解密码.py | py | 4,977 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "threading.Lock",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "requests.adapters",
"lin... |
18363045901 | from datetime import date, datetime, time
from decimal import Decimal
import uuid
import warnings
import ctds
from .base import TestExternalDatabase
from .compat import PY27, PY3, unichr_, unicode_
class TestCursorCallproc(TestExternalDatabase): # pylint: disable=too-many-public-methods
'''Unit tests related to ... | zillow/ctds | tests/test_cursor_callproc.py | test_cursor_callproc.py | py | 62,228 | python | en | code | 81 | github-code | 21 | [
{
"api_name": "base.TestExternalDatabase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "ctds.Cursor",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "ctds.InterfaceError",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "c... |
7896412009 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from modules.conv import Initialized_Conv1d, RegularConv
from modules.helpers import mask_logits, apply_mask
import math
# bangliu
class MultiHeadAttnBL(nn.Module):
def __init__(self, d_model, heads, droprate):
super().__init__()
... | maxtrem/qanet | modules/attn.py | attn.py | py | 6,874 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "modules.conv.Initialized_Conv1d",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "modules... |
39121934693 | #########################################################################
#$Id: $
#$Revision: $
#$HeadURL: $
#$Date: $
#$Author: $
#########################################################################
from __future__ import print_function
from netCDF4 import Dataset
import numpy as np
import sys
import getopt
impo... | weihuang-jedi/jedi-tools | perfplot/diff2ncfile.py | diff2ncfile.py | py | 4,273 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.exit",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 69,
... |
35164430817 | from django.contrib import admin
from django.urls import path,include
from django.conf.urls import handler404
urlpatterns = [
path('admin/', admin.site.urls),
path('',include('apps.accounts.urls.urls')),
path('configuration/',include('apps.configuration.urls.urls')),
path('process/',include('ap... | zhangbin804/devops | devops/urls.py | urls.py | py | 538 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "dja... |
71070280054 | #%% -------------PART 1. DATA PREPARATION------------
path = "C:\\Users\\hung\\Desktop\\MachineLearning\\"
import os
os.chdir(path)
# 1. Hypothesis Generation
from IPython.display import display, Image
display(Image(filename= 'BigMartSales Prediction\\Description.png'))
import pandas as pd
import numpy as np
import m... | Kientv84/MarchineLearning | BigMartSale.py | BigMartSale.py | py | 18,911 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.chdir",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "IPython.display.display",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "IPython.display.Image",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "warnings.filterwa... |
27723600298 | from matplotlib import pyplot as plt
from matplotlib import animation
from matplotlib.font_manager import FontProperties
from matplotlib import gridspec
import numpy as np
import time
import sys
"""
author: Kyle
"""
# update point: function handling the logic of animating the dot, denoting the current
# position of the... | tsangkai/multirobot_localization_utias | src/data_analysis/realtime_plot.py | realtime_plot.py | py | 9,813 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 188,
"usage_type": "call"
},
{
"api_name": ... |
41703067703 | from aiohttp import web
from constants import webserver_port
from discord.ext import commands, tasks
import aiohttp
from log import logger
from cleaner import header
app = web.Application()
routes = web.RouteTableDef()
class Webserver(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.webs... | HoshikawaBot/CleanerBot | src/server.py | server.py | py | 2,050 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "aiohttp.web.Application",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "aiohttp.web",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "aiohttp.web.RouteTableDef",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "aiohttp.we... |
26036260313 | import pyttsx3
import speech_recognition as sr
import datetime
engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[0].id)
def speak(audio):
engine.say(audio)
engine.runAndWait()
def listen():
r=sr.Recognizer()
with sr.Microphone() as source:
... | akshanshkmr/jarvis-voice-assistant | code.py | code.py | py | 1,245 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "pyttsx3.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
27411549624 | ''' import_drug_orders.py '''
import logging
from sqlalchemy.dialects.postgresql import insert
''' ImportDrugOrders '''
class ImportDrugOrders:
def __init__(self, con, meta):
## database connection
self.con = con
## table structure
self.meta = meta
def get_order_fields(self,... | MarcPfeif/pharma-recommendation | pharma/import_drug_orders.py | import_drug_orders.py | py | 3,390 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.info",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.dialects.postgresql.insert",
"line_number": 92,
"usage_type": "call"
}
] |
42344912383 | from datetime import timedelta, datetime
import logging
from core.observables import Url
from core.feed import Feed
from core.errors import ObservableValidationError
class VXVaultUrl(Feed):
# set default values for feed
default_values = {
"frequency": timedelta(hours=1),
"name": "VXVaultUrl",... | yeti-platform/yeti | plugins/feeds/public/vxvault_url.py | vxvault_url.py | py | 1,429 | python | en | code | 1,485 | github-code | 21 | [
{
"api_name": "core.feed.Feed",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
75054629173 | # First exercise in the "graphic" section of the book
# Objective: drawing one of every graphic primitive
# This will display a 200x600 image in the screen
# populated with several simple shapes
import sys
from PIL import Image,ImageDraw
# COLORS
white = (255,255,255)
black = (0,0,0)
# HELPER FUNCTIONS
def drawdot(... | jolitti/code_as_creative_medium | exercises/graphic/one_with_everything.py | one_with_everything.py | py | 1,339 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.Image.new",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_... |
22089322750 | import scvelo as scv
import joblib
from cellrank.tl.kernels import ConnectivityKernel
from cellrank.tl.estimators import GPCCA
import numpy as np
import pandas as pd
adata = scv.read(
"/storage/singlecell/zz4/fetal_snakemake/results/merged_h5ad/merged_raw_filtered_umap_10000_woadult_MG_ldata_dynamics.h5ad",
ca... | zhenzuo2/Human-Developmental-Retina-Atlas | Volocity/infer_fate/infer_fate.py | infer_fate.py | py | 1,300 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "scvelo.read",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cellrank.tl.kernels.ConnectivityKernel",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cellran... |
20594548849 | import torch
from models.base import BaseModel
from models.nn.layers import AttLayer, clones
class NRHATitle(BaseModel):
def __init__(self, hparams):
super().__init__(hparams)
self.attentions = clones(AttLayer(hparams.head_dim, hparams.attention_hidden_dim), hparams.head_num)
def sentence_en... | Ruixinhua/NRHA | models/nrha_title.py | nrha_title.py | py | 1,293 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.base.BaseModel",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.nn.layers.clones",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.nn.layers.AttLayer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name":... |
26279525085 | from os.path import basename
from qair.data.example import Example
from qair.data.utils import create_path
import pickle
class QAdataset:
def __init__(self, ifile, fold=0, train=True):
self.reader = ifile
self.dataset = ifile.split('/')[-2]
self.qids = list(pickle.load(open(f'data/info/{se... | dbonadiman/qa-ir | qair/data/dataset.py | dataset.py | py | 2,852 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line... |
13415732575 | from dataclasses import dataclass
from datetime import datetime, timezone
from dataclass_csv import accept_whitespaces, dateformat
from sqlalchemy import Column, DateTime, Float, ForeignKey, Integer, String
from sqlalchemy.ext.hybrid import hybrid_property
from sqlalchemy.orm import relationship
import vigorish.datab... | a-luna/vigorish | src/vigorish/models/pitchfx.py | pitchfx.py | py | 17,765 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "vigorish.database.Base",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "vigorish.database",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sqlal... |
40606620927 | '''Receives raw xml data from climax devices and transforms into readable data for our system'''
import html
import logging
import asyncio
import slixmpp
import xmltodict
RECEIVER_JID = 'receive@inteli-xmpp'
RECEIVER_PASS = 'receive'
SEND_TO_JID = ['mike@inteli-xmpp', 'test@inteli-xmpp', 'translate@inteli-xmpp', 'guy... | Lucho-git/run-slixmpp | climax_transformer.py | climax_transformer.py | py | 7,181 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "slixmpp.ClientXMPP",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "slixmpp.ClientXMPP.__init__",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "slixmpp.ClientXMPP",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_n... |
9553234028 | import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import argparse
from utils import *
import torch.nn.functional as F
from torch.utils.data import TensorDataset, DataLoader
from torch.distributions.multivariate_normal import MultivariateNormal
class MDN(nn.Module):
def __init__(sel... | USC-Lira/CSCI699_RobotLearning_HW3 | train_ildist.py | train_ildist.py | py | 4,043 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.load",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line... |
6697191262 | # Python3
import urllib.request, urllib.error, urllib.parse, os, tempfile
import numpy as np
import tensorflow as tf
from scipy.misc import imread, imresize
"""
Utility functions used for viewing and processing images.
"""
def blur_image(X):
"""
A very gentle image blurring operation, to be used as a regulari... | zhangguobin/fast-neural-style | utils/image_utils.py | image_utils.py | py | 2,966 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number... |
12193009210 | import pickle
import datetime
from rankfm.rankfm import RankFM
def train_rankfm_model(interactions_train, item_features_train, sample_weight_train):
rank_fm = RankFM(
factors=100,
loss="warp",
max_samples=100,
alpha=0.05,
sigma=0.1,
learning_rate=0.1,
learni... | maxgalanov/RecSysYearProject | hse_rec_sys/src/models/train_model.py | train_model.py | py | 752 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "rankfm.rankfm.RankFM",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pick... |
2172097381 | #!/usr/bin/python3
"""
script that creates a Flask web application with the specified routes
"""
from flask import Flask, escape
app = Flask(__name__)
# Route to display "Hello HBNB!"
@app.route('/', strict_slashes=False)
def hello_hbnb():
return 'Hello HBNB!'
# Route to display "HBNB"
@app.route('/hbnb', str... | 254guru/AirBnB_clone_v2 | web_flask/3-python_route.py | 3-python_route.py | py | 1,050 | python | en | code | null | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.escape",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "flask.escape",
"line_number": 35,
"usage_type": "call"
}
] |
40832075291 | import pandas as pd
import numpy as np
import random
from colorama import Fore
class Impute:
def remove_outliers(self,dataframe,features):
'''
Input: pd.DataFrame(), features = pd.Series() => List, String
Output: pd.DataFrame()
Params: pd.DataFrame(), features = pd.Series() that ... | TusharNautiyal-web/DataWrang-Library | datawrang/imputers.py | imputers.py | py | 18,128 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "colorama.Fore.RED",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
36120876631 | import tensorflow as tf
from datasetHelper import loadDataset, getNextBatch
from modelHelper import weight_variable, bias_variable
from sklearn.utils import shuffle
tf.compat.v1.disable_eager_execution()
#defining the dimensions of the dataset images
#MNIST dataset are 28X28
img_h, img_w = 28, 28
#defining total numb... | komekez/linear-classifier-mnist | main.py | main.py | py | 3,805 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "tensorflow.compat.v1.disable_eager_execution",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "datasetHelper.loadDataset",
"line_number": 22,
"usage_type": "call"
}... |
13777849444 | import os
import sys
import time
import cv2
import numpy as np
import pytesseract
from PIL import Image
import re
import traceback
# Add parent directory to sys.path so that we can import modules from there
# Get the current working directory
current_script_path= os.path.abspath(__file__)
script_dir = os.path.dirname... | aaljalali/MDE_BDE_RING | MDE/windows/MDE/MDE/DataGeneration/img_process.py | img_process.py | py | 8,022 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
18239378611 | from collections import deque
n = 8
a = [list(input()) for _ in range(n)]
check = [[[False] * (n + 1) for _ in range(n)] for _ in range(n)]
dx = [0, 0, 1, -1, 1, 1, -1, -1, 0]
dy = [1, -1, 0, 0, -1, 1, -1, 1, 0]
check[7][0][0] = True
q = deque()
q.append((7, 0, 0))
ans = False
while q:
x, y, t = q.popleft()
... | yeonnseok/ps-algorithm | 2019 baekjoon/Graph/16954_movingWall.py | 16954_movingWall.py | py | 845 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
}
] |
12928368957 | from builtins import str
from builtins import object
import logging
import os
import subprocess
import tempfile
class Process(object):
'''
Define a process to execute
'''
def __init__(self, name, exe, args, desc=None, proc_type=None, expand=True, bank_env=None, log_dir=None):
'''
Defin... | Nurtal/TRASHEXCHANGE | biomaj-master/biomaj/process/process.py | process.py | py | 8,316 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "builtins.object",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
72535224694 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# This is a python install script written for pyIMU python package.
# pip3 install --upgrade setuptools wheel Cython build
#
# py -3 setup.py build_ext --inplace
# py -3 setup.py bdist
# py -3 setup.py sdist
# py -3 setup.py bdist_wheel
# pip3 install -e . # -e ... | uutzinger/pyIMU | setup.py | setup.py | py | 2,122 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_numb... |
34018275795 | import argparse
import collections
import json
import utils
import openreview_db as ordb
from tqdm import tqdm
parser = argparse.ArgumentParser(
description='Create datasets for training baseline models')
parser.add_argument('-d', '--dbfile', default="../db/or.db",
type=str, help="Database in sqlite... | nnkennard/iclr-discourse-dataset | baselines/old/create_datasets.py | create_datasets.py | py | 2,409 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "openreview_db.crunch_text_rows",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "utils.DiscourseUnit",
"line_number": 34,
"usage_type": "attribute"
},
{
"a... |
70882971894 | import json
import os
import re
from glob import glob
from mobie import initialize_dataset, add_image_data, add_segmentation
from mobie.metadata import add_remote_project_metadata
ROOT = "/g/schwab/Kimberly/Publications/MoBIE_paper/Jonas_project/raw/idr_0079"
MODALITIES = {"experimentA": "membrane",
"ex... | mobie/zebrafish-lm-project | create_project.py | create_project.py | py | 6,759 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 38,
... |
21666669958 | import logging
import sys
# Uncomment to see debug logs
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(message)s', datefmt='%m/%d/%Y %I:%M:%S %p')
# logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain... | gjmulder/urag | langchain_textsplit.py | langchain_textsplit.py | py | 2,690 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "langchain.callbacks.manager.CallbackManager",
"line_number": 16,
"usage_type": "call"
},
{
"a... |
3488916941 | from functools import wraps
from collections import namedtuple
def simple_coroutine():
'''
最简单的协程例子
'''
print("-> 开始协程")
x = yield
print("收到了协程信号", x)
def simple_coro2(a):
'''
产生两个值的协程
'''
print("-> started: a = ", a)
b = yield a
print("-> received b = ", b)
c = y... | Ehco1996/Fluent-Python | 第十六章协程/coroutine.py | coroutine.py | py | 1,282 | python | en | code | 30 | github-code | 21 | [
{
"api_name": "functools.wraps",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 53,
"usage_type": "call"
}
] |
36270927434 | from PIL import Image
import os
mypath0 = os.getcwd()
f = []
for (dirpath, dirnames0, filenames0) in os.walk(mypath0):
f.extend(filenames0)
break
#print(dirnames0)
imagelist = []
for m in dirnames0:
mypath1 = mypath0 + '\\' + m
for (dirpath1, dirnames1, filenames1) in os.walk(mypath1):
f.extend... | Tafkal/MangaImagestoPDF | Img_to_PDF.py | Img_to_PDF.py | py | 978 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.getcwd",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 19,
"usage_t... |
13751016865 | import os
from datetime import datetime, time
from influxdb_client import InfluxDBClient, Point
from dwd_import.models import Device, MoistureMeasurement
from . import DeviceDB, MoistureDB
class InfluxDB(DeviceDB, MoistureDB):
def __init__(self) -> None:
super().__init__()
self.bucket = os.envir... | codeforbielefeld/teuto-moisture-map-python | services/dwd-import/dwd_import/db/influx.py | influx.py | py | 1,674 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "influxdb_client.InfluxDBClient.from_env_properties",
"line_number": 16,
"usage_type": "call"
},
{
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.