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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
32685087909 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# @author: orleven
from lib.core.env import *
import json
from sqlalchemy import and_
from flask import request
from flask import Blueprint
from lib.core.enums import ApiStatus
from lib.core.model import DNSLog
from lib.core.model import WebLog
from lib.hander import db
... | orleven/Celestion | lib/hander/apihander.py | apihander.py | py | 4,136 | python | en | code | 30 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.json.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "flask.... |
6964335494 | from flask import Flask, render_template, request, url_for, jsonify
from base64 import b64encode, b64decode
app = Flask(__name__)
img = ""
@app.route('/upload', methods=["POST", "GET"])
def up():
global img
img = request.get_json()
return img["image"]
def main():
app.run()
if __name__ == "__main__"... | leesamu/garffiti | app/dummy_server.py | dummy_server.py | py | 333 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
}
] |
22622252680 | # 인식시킬 사진을 Clova API를 통해 요청을 보내, 인식 결과를 받아온다.
# req(파일) : 파일 데이터 전송
# 1. requests를 통해 Clova API 주소에 요청을 보낸다.
# 2. 응답 받은 json을 파싱하여 원하는 결과를 출력한다.
import requests
import os
from pprint import pprint as pp
naver_id = os.getenv('NAVER_ID')
naver_secret = os.getenv('NAVER_SECRET')
url = "https://openapi.naver.com/v1... | jungeunlee95/python-practice | API/NaverApi-Cloud9/workspace/naverapi_clova_face.py | naverapi_clova_face.py | py | 1,331 | python | ko | code | 0 | github-code | 36 | [
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 3... |
69993904103 | import re
import base64
import xml.dom.minidom
import zlib
from xml.parsers.expat import ExpatError
def repr_saml_request(saml_str, b64=False):
"""Decode SAML request from b64 and b64 deflated
and return a pretty printed representation
"""
try:
msg = base64.b64decode(saml_str).decode() if b64... | italia/spid-django | src/djangosaml2_spid/utils.py | utils.py | py | 1,171 | python | en | code | 40 | github-code | 36 | [
{
"api_name": "base64.b64decode",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom.dom.minidom.parseString",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom.dom",
"line_number": 15,
"usage_type": "attribute"
},
{
... |
19089281909 | import datetime
from django.db import models
from imagekit.models import ImageModel
from structure.models import Author
from video.managers import PublishedVideoManager
from tagging.fields import TagField
class Video(ImageModel):
name = models.CharField(max_length=255)
slug = models.SlugField(unique=True)
... | queensjournal/queensjournal.ca | apps/video/models.py | models.py | py | 1,662 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "imagekit.models.ImageModel",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": ... |
71961794665 | import math
import sys
import imutils
sys.path.append("..")
import cv2
import torch
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from DatasetBuilding.drivingDataset import DrivingDataset
from torch.utils.data import DataLoader
from modelCNN import CNN
def drawLivePredictio... | FredCarvalhoOliveira/SelfDrivingCar | scripts/testing/evaluateLiveModelDriving.py | evaluateLiveModelDriving.py | py | 3,078 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "math.cos",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number"... |
36988267529 | # TODO merge naive and weighted loss.
import torch
import torch.nn.functional as F
def weighted_nll_loss(pred, label, weight, avg_factor=None):
if avg_factor is None:
avg_factor = max(torch.sum(weight > 0).float().item(), 1.)
raw = F.nll_loss(pred, label, reduction='none')
return torch.sum(raw * w... | implus/PytorchInsight | detection/mmdet/core/loss/losses.py | losses.py | py | 4,005 | python | en | code | 845 | github-code | 36 | [
{
"api_name": "torch.sum",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.nll_loss",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.sum",
... |
73188648103 | import time
import pyautogui as pg
import userlist
import pyperclip
def log():
while True:
time.sleep(1)
print(pg.position())
def goto_tribe_room():
pg.moveTo(1075,820, 1)
pg.click()
pg.moveTo(1680, 600, 1)
pg.click()
time.sleep(3)
def execute_lua(luadata):
pg.press("Ent... | MuhammetSonmez/Transformice-Game-Crusher | main.py | main.py | py | 2,381 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.sleep",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyautogui.position",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyautogui.moveTo",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pyautogui.click",
"... |
43731215301 | # app.py
from flask import Flask, render_template
from urls import get_urls
app = Flask(__name__)
@app.route('/')
def index():
urls = get_urls()
return render_template('index.html', urls=urls)
if __name__ == '__main__':
app.run()
| VignanBaligari234/PythonSraper | app.py | app.py | py | 245 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "urls.get_urls",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
}
] |
40265642473 | from flask import Flask, render_template
from post import Post
from api import data
postList = []
for post in data:
postItem = Post(post['id'],post['title'], post['body'])
postList.append(postItem)
app = Flask(__name__)
@app.route('/')
def home():
return render_template("index.html", posts=postList)
@app.... | nastyc0de/python100dias | dia57/blog-templating-start/main.py | main.py | py | 548 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "api.data",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "post.Post",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number"... |
4705717498 | #!/usr/bin/env python3
"""
project: Pythonic Card Deck
created:2021-10-19
@author:seraph
email:seraph776@gmail.com
"""
from collections import namedtuple
from random import choice
# namedtuple used to construct a simple class to represent individual cards:
Card = namedtuple('Card', ['rank', 'suit'])
class CardDeck... | rishawsingh/Hacktoberfest_2021 | code/pythonic_card_deck/pythonic_card_deck.py | pythonic_card_deck.py | py | 1,188 | python | en | code | null | github-code | 36 | [
{
"api_name": "collections.namedtuple",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 44,
"usage_type": "call"
}
] |
74060660904 | import asyncio
import contextlib
from contextlib import closing
from unittest import mock
import pytest
from server import ServerContext
from server.core import Service
from server.lobbyconnection import LobbyConnection
from server.protocol import DisconnectedError, QDataStreamProtocol
from tests.utils import exhaust... | FAForever/server | tests/integration_tests/test_servercontext.py | test_servercontext.py | py | 4,597 | python | en | code | 64 | github-code | 36 | [
{
"api_name": "unittest.mock.AsyncMock",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "unittest.mock",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "unittest.mo... |
10367895809 | import youtube_dl
import os
from sys import argv
from pydub import AudioSegment
# PROCESS OF CONVERSION
def process(f):
audioIN = AudioSegment.from_file(f)
print("Processing.... " + str(f))
audioIN.export(f[:-4] + "mp3", format="mp3")
os.remove(f)
# CONFIG OF DOWNLOAD
download_config =... | ayushmanbt/MyPythonStuff | MY OWN SOFTWARES/MUSIC APP/main.py | main.py | py | 956 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pydub.AudioSegment.from_file",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pydub.AudioSegment",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.remove",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.exist... |
34994415249 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""http://www.pythonchallenge.com/pc/rock/arecibo.html:kohsamui:thailand"""
__author__ = "子風"
__copyright__ = "Copyright 2015, Sun All rights reserved"
__version__ = "1.0.0"
import get_challenge
from PIL import Image
import copy
import time
def getdata(url):
f = get... | z-Wind/Python_Challenge | Level32_Nonogram.py | Level32_Nonogram.py | py | 7,587 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "get_challenge.download",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 131,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 145,
"usage_type": "call"
},
{
"api_name": "time.perf_co... |
70082118504 |
import os, platform, subprocess
from tempfile import TemporaryDirectory
import zipfile
import tkinter as tk
import tkinter.ttk as ttk
import tkinter.scrolledtext as scrolledtext
from tkinter import filedialog
from pdfrw import PdfReader, PdfWriter, PdfDict, PdfName
basedir = os.path.dirname(__file__)
if platform.... | gradgrind/conjoin2pdf | conjoin2pdf.py | conjoin2pdf.py | py | 8,959 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "platform.system",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"l... |
26336658479 | import requests
from datetime import datetime
import api_keys
now = datetime.now()
formatted_now_date = now.strftime("%d/%m/%Y")
formatted_now_time = now.time().strftime("%H:%M:%S")
exercise_ep = "https://trackapi.nutritionix.com/v2/natural/exercise"
sheety_url = "https://api.sheety.co/dd81a891f83891fcffdab1... | Zoom30/100-python | Day 38/Day 38.py | Day 38.py | py | 1,365 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "api_keys.GENDER",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "api_keys.W... |
25623525939 | # the simplest solution - simply run this script at startup
# - output will go to console and alert if there is a diff
# For first run will compare with specified html file
# or create new one if nonexistant
import time
import urllib.request as ur
import sys, getopt
import os.path
from datetime import datetime
import... | alexbudy/urlDiffCheck | checkURLNoTask.py | checkURLNoTask.py | py | 4,126 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "urllib.r... |
72607742505 | #!/usr/bin/env python3
import numpy
import opt_analy
import matplotlib
import matplotlib.pyplot as plt
def plot(az_list, el_list, dx_list, dy_list, file_list, raw=True):
if raw == True:
dx_avg, dy_avg, dx_std, dy_std, *_ = opt_analy.process_static(file_list, clip_sigma=(3.,3.))
else:
az = [e ... | nanten2/necst-ros | lib/plot.py | plot.py | py | 2,582 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "opt_analy.process_static",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.average",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.fi... |
14566461168 | from io import BytesIO
from .models import Book
from librarian import DocProvider
from django.http import HttpResponse
class RedakcjaDocProvider(DocProvider):
"""Used for getting books' children."""
def __init__(self, publishable):
self.publishable = publishable
def by_slug(self, slug):
... | fnp/redakcja | src/documents/ebook_utils.py | ebook_utils.py | py | 937 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "librarian.DocProvider",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "io.BytesIO",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.Book.objects.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.Book.o... |
74177779624 | from aiogram import types, Dispatcher
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters import Text
async def cmd_start(message: types.Message, state: FSMContext):
await state.finish()
await message.answer(
"Начните ваш заказ (/food)!",
reply_markup=types.ReplyKeyboardR... | ARSecret/arsPython | DZ/handlers/common.py | common.py | py | 839 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "aiogram.types.Message",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "aiogram.types",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "aiogram.dispatcher.FSMContext",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "a... |
70640513703 | import torch
import numpy as np
class CategoriesSampler():
def __init__(self, label, n_batch, n_cls, n_per):
self.n_batch = n_batch
self.n_cls = n_cls
self.n_per = n_per
label = np.array(label)
self.m_ind = []
for i in range(max(label) + 1):
ind = np.ar... | yaoyao-liu/e3bm | dataloader/samplers.py | samplers.py | py | 880 | python | en | code | 48 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.argwhere",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.randperm",
"lin... |
9710177195 | import re
from dataclasses import dataclass
from pprint import pprint
import pygame
import pyscroll
import pytmx
from random import randint, seed
from src import player
from src.player import NPC, Player
from lib_dijkstra import Point
verbose = False
# seed(1)
def groups_in_list(lst, code='X', blank=' '):
"""Fi... | bermau/PW_19_pygamon | src/map.py | map.py | py | 10,396 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "pygame.sprite",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "pygame.ima... |
16305876969 | import matplotlib.pyplot as plt
import geopandas
# 3D Plot
def plot3Dtrajectory(name, desc, x, y, z):
fig = plt.figure(figsize=(6,6))
ax = fig.add_subplot(111, projection = '3d')
ax.plot(x, y, z, color = 'purple', label = 'GPS', marker = '')
plt.title(name + " " + desc)
ax.set_xlabel('|X] = km'... | d33pk3rn3l/Satellite-geodesy-Exercise-1 | plotter.py | plotter.py | py | 2,117 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matp... |
15506053954 | from flask import Flask, render_template, request, Response
import random
test_app = Flask(__name__)
@test_app.route('/')
def getRandomData():
context = {"title": "Data table test"}
data = [{ 'id': i,
'name': "test_name_{0}".format(random.randint(0,1000)),
'phone': random.randint(2308,9... | hssaka7/flask_boilerplate | datatable/app.py | app.py | py | 567 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_num... |
24447934064 | import os
from multiprocessing import Process
from pathlib import Path
from shutil import rmtree
from time import sleep
import lmdb
import pytest
import rocksdb
from rocksdb.errors import RocksIOError
class TestDBPath:
rocksdb = "test_rocksdb"
lmdb = "test_lmdb"
def print_process_info(title):
print("\n... | iconloop/kona | tests/test_multi_process_db.py | test_multi_process_db.py | py | 2,444 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.getppid",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "rocksdb.DB",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "rocksdb.Options",
"line_number": ... |
74050173864 | from parlai.core.teachers import FbDeprecatedDialogTeacher, MultiTaskTeacher
from .build import build
import copy
import os
def _path(task, opt):
# Build the data if it doesn't exist.
build(opt)
suffix = ''
dt = opt['datatype'].split(':')[0]
if dt == 'train':
suffix = 'train'
elif dt ... | facebookresearch/ParlAI | parlai/tasks/cbt/agents.py | agents.py | py | 1,587 | python | en | code | 10,365 | github-code | 36 | [
{
"api_name": "build.build",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "parlai.core.teachers.FbDeprecat... |
40661236565 | from torch import nn
import torch
from torch.nn import CrossEntropyLoss
from transformers import BertPreTrainedModel, BertConfig, BertModel
from transformers.models.bert.modeling_bert import BertOnlyMLMHead
class BertForPTuning(BertPreTrainedModel):
def __init__(self, config: BertConfig, prompt_index):
su... | zhangzhiqiangccm/NLP-project | 小样本学习/few_shot/model.py | model.py | py | 3,124 | python | en | code | 120 | github-code | 36 | [
{
"api_name": "transformers.BertPreTrainedModel",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "transformers.BertConfig",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "transformers.BertModel",
"line_number": 14,
"usage_type": "call"
},
{
"api... |
8668254189 | import re
import json
import logging
class Object: # pylint: disable=too-many-instance-attributes
def __str__(self):
return json.dumps(self, default=lambda o: o.__dict__, indent=5)
class Device(Object):
def __init__(self, uid, version, firmware):
self.namespace = 'http://www.w3.org/2001/XM... | ctera/ctera-python-sdk | cterasdk/common/object.py | object.py | py | 3,495 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "json.dumps",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number"... |
17310591965 | import sys
import io
import os
import shutil
import base64
import hashlib
from cryptography.hazmat.primitives.asymmetric.x25519 import X25519PrivateKey
from cryptography.hazmat.primitives.asymmetric.x25519 import X25519PublicKey
from Crypto.Cipher import AES
from Crypto.Util import Counter
RANSOM_EXT = '.INC'
ENC_M... | rivitna/Malware | Inc/inc_decrypt_file.py | inc_decrypt_file.py | py | 2,858 | python | en | code | 218 | github-code | 36 | [
{
"api_name": "cryptography.hazmat.primitives.asymmetric.x25519.X25519PrivateKey.from_private_bytes",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "cryptography.hazmat.primitives.asymmetric.x25519.X25519PrivateKey",
"line_number": 37,
"usage_type": "name"
},
{
"api_na... |
8491486153 | from rich.table import Table
from rich.console import Console
import os
import sqlite3
from sqlite3 import Error
from colorama import Fore
from colored import fg, attr
from datetime import date, datetime
# =============================================
con = sqlite3.connect("data.db")
os.system("cls")
# ================... | erfanbanaei/ManagerBuy | main.py | main.py | py | 6,303 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "colored.fg",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "colored.fg",
"line_number": ... |
70862243305 | from flask import Blueprint, render_template, request, redirect, url_for
import pendulum
import requests
from .static.sc.schedule import date_schedule, get_date
from . import db
from .models import User, List, ListFields
views = Blueprint('views', __name__)
@views.route('/')
def main():
return render_template('in... | eternalme0w/dvs | website/views.py | views.py | py | 2,410 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.Lis... |
74946408105 | import pandas as pd
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix, accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import GaussianNB
from sklearn import ... | Eldoov/cs677-Data-Sci.-with-Python | Final Project/boston crime/prediction.py | prediction.py | py | 4,305 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sklearn.model_sel... |
40152632978 | """Mel - a command-line utility to help with mole management."""
import argparse
import sys
import mel.cmd.addcluster
import mel.cmd.addsingle
import mel.cmd.error
import mel.cmd.list
import mel.cmd.microadd
import mel.cmd.microcompare
import mel.cmd.microview
import mel.cmd.rotomapautomark
import mel.cmd.rotomapaut... | aevri/mel | mel/cmd/mel.py | mel.py | py | 5,755 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "mel.cmd.addcluster.cmd",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "mel.cmd.addcluster",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "mel.cmd.addcluster.cmd",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_na... |
8468882150 | from selenium import webdriver
options = webdriver.ChromeOptions()
options.add_argument('headless')
driver = webdriver.Chrome(options=options)
#driver.get("http://www.zhgc.com/dllt_wq1/arena.asp")
driver.get("http://www.zhgc.com/dllt_wq2/arena.asp")
file_name = 'write7.txt'
#for i in range(75,217):
for i in range(13... | BabyYang2049/demo | spider/Crawler.py | Crawler.py | py | 690 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 5,
"usage_type": "call"
},
{
"api_na... |
27470111335 | import os
import openai
from flask import Flask, render_template, request, jsonify
from openai.error import ServiceUnavailableError, InvalidRequestError, RateLimitError
openai.api_key = os.environ.get('OPENAI_API_KEY')
app = Flask(__name__, template_folder='templates', static_folder='static')
@app.route('/')
def in... | rudotcom/flask-bot | app.py | app.py | py | 1,687 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "openai.api_key",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"li... |
3511368259 | import itertools
digits = [ x for x in range(10) ]
i = 0
for x in itertools.permutations(digits):
i += 1
if i == 1000000:
print(x)
break
for c in x:
print(c,end="")
| PetraVidnerova/euler | 24.py | 24.py | py | 200 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "itertools.permutations",
"line_number": 5,
"usage_type": "call"
}
] |
39803344453 | from django.utils.translation import gettext_lazy as _
from django.db import models
import uuid
from internal_users.models import InternalUser
from customer_users.models import CustomerUser
from homepageapp.models import RepairOrdersNewSQL02Model as RepairOrder
from django.utils import timezone
from core_operations.mod... | zjgcainiao/new_place_at_76 | appointments/models.py | models.py | py | 5,933 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 22,
"usage_type": "call"
},
{
... |
42296358444 | import os
import logging
from xdg.BaseDirectory import xdg_config_home, xdg_state_home
from typing import Dict
import yaml
from .log import LogManager
from cfancontrol import __version__ as VERSION
class Environment(object):
APP_NAME: str = "cfancontrol"
APP_FANCY_NAME: str = "Commander²"
APP_VERSION: ... | maclarsson/cfancontrol | cfancontrol/settings.py | settings.py | py | 3,776 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "cfancontrol.__version__",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.geteuid",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
33011549163 | from __future__ import division
import scipy
import setupplots
setupplots.thesis_format()
import matplotlib.pyplot as plt
plt.ion()
import sys
sys.path.insert(0, '/Users/markchilenski/src/bayesimp')
import lines
lines.read_filter_file(
'/Users/markchilenski/src/bayesimp/spectral_modeling/Be_filter_50_um.dat',
... | markchil/thesiscode | plot_xtomo_filter.py | plot_xtomo_filter.py | py | 1,117 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "setupplots.thesis_format",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sys.pat... |
14656210330 | from random import choice
from faker import Faker
bank_names_fr = [
"Banque CIBC",
"BMO Banque de Montréal",
"Banque Desjardins",
"Banque HSBC Canada",
"Banque Laurentienne du Canada",
"Banque Nationale du Canada",
"Banque Royale du Canada",
"Banque Scotia",
"Banque TD Canada Trust... | GRAAL-Research/risc | risc_generator/faker/contract_faker/financing_faker.py | financing_faker.py | py | 1,559 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "faker.Faker",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 55,
"usage_type": "call"
}
] |
72962033703 | # -*- coding: utf-8 -*-
"""
Created on Thu Jan 3 23:47:45 2019
@author: LEX
"""
import time
import math
import torch
import os
import torch.onnx
from model import Languagemodel
from utils.data_utils import Vocab, Txtfile, Data2tensor, SaveloadHP, seqPAD, PAD, EOS, SOS
from utils.core_nns import RNNModel
# Load tra... | k2lexus/nlp_course | nnlm/predict.py | predict.py | py | 2,413 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "utils.data_utils.SaveloadHP.load",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "utils.data_utils.SaveloadHP",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "model.Languagemodel",
"line_number": 28,
"usage_type": "call"
},
{
"... |
39978019698 | import argparse
import numpy as np
import pandas as pd
import io_tools
BASE_TIMESTEP = 10
MAX_TIMESTEP = 120
parser = argparse.ArgumentParser(description="Reduce displacement data for remote processing.")
parser.add_argument("disp_file", help="displacements file")
parser.add_argument("outfile", help="output file")
... | rohan-hitchcock/tcells-portfolio | track_analysis/reduce_data.py | reduce_data.py | py | 575 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "io_tools.DTYPE_DICT",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "io_t... |
18355097609 | #this is the server file
from flask import Flask, render_template, request, redirect, session
import random
from datetime import datetime
app = Flask(__name__)
app.secret_key = 'keep it secret, keep it safe' # set a secret key for security purposes
@app.route('/', methods=['get']) #per instructions: Have the root ... | full-time-april-irvine/kent_hervey | flask/flask_fundamentals/ninja-gold/ninja_gold.py | ninja_gold.py | py | 2,924 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask.session",
... |
40209432333 | import csv
import numpy as np
from pymc import Gamma, Normal, NoncentralT, Binomial, Uniform, invlogit, logit, deterministic, stochastic
### SETUP
# counts_pos, counts_total, batch_id, plate_id, row, col, treatment
rows = [tuple(row) for row in csv.reader(open('nephrine_fracs.csv'))]
pos_counts, total_counts, batch_id... | thouis/works-in-progress | hierscore/nephrine_frac.py | nephrine_frac.py | py | 3,924 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "csv.reader",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 1... |
34082922202 | import sys
from api.hh_api import HeadHunterAPI
from config import EMPLOYEERS_VACANCY_ID
from database.db_manager import DBManager
from app.mixin_menu_app import MixinMenuAPP
from utils.сurrency_сonverter import get_currency_data
from app.job_search_meta import JobSearchAppMeta
from utils.loading_progress import show_... | AndreyAgeew/skypro-course_work_5 | app/job_search_app.py | job_search_app.py | py | 6,996 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "app.mixin_menu_app.MixinMenuAPP",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "app.job_search_meta.JobSearchAppMeta",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "api.hh_api.HeadHunterAPI",
"line_number": 24,
"usage_type": "call"
... |
39430384118 | import unittest
import pathlib
from helpers import FakeWriter, a_wait
import grole
class TestHeader(unittest.TestCase):
def test_header(self):
res = grole.Response(None, 123, 'foo', {'foo': 'bar'}, 'bar')
writer = FakeWriter()
a_wait(res._write(writer))
for line in writer.data.spl... | witchard/grole | test/test_response.py | test_response.py | py | 4,504 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "grole.Response",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "helpers.FakeWriter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "helpers.a_wai... |
30329681031 | import scrapy
# TF-IDF
# import StemmerFactory class
from Sastrawi.Stemmer.StemmerFactory import StemmerFactory
from math import log10
# create stemmer
factory = StemmerFactory()
stemmer = factory.create_stemmer()
class QuotesSpider(scrapy.Spider):
name = "tubes_novel5"
def start_requests(se... | VicinthiaVS/Tugas-Besar-Scrapy-2014321018-Pagi-Ubhara-Surabaya | soal3/tubes_novel/spiders/novel5.py | novel5.py | py | 3,112 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Sastrawi.Stemmer.StemmerFactory.StemmerFactory",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scrapy.Spider",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 34,
"usage_type": "call"
}
] |
74222814823 | #!/usr/bin/env python3
import yaml
import rospy
import os
from uav_abstraction_layer.srv import TakeOff, GoToWaypoint, Land
from geometry_msgs.msg import PoseStamped
class WayPointTracker:
def __init__(self):
self.uav_namespace = rospy.get_param("~uav_namespace", "")
self.file_path = rospy.get_par... | AntoineRichard/sesame_ul_uavs | src/simple_mission.py | simple_mission.py | py | 4,141 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rospy.get_param",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "rospy.get_param",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
11370141393 | import torch
import numpy as np
from ml.modules.losses.ordinal_regression_loss import OrdinalRegressionLoss
config_path = '../config/config_files/kitti_base.yaml'
ord_num = 90
gamma = -0.97
beta = 90
config = load_config(config_path)
config['model']['params']['discretization'] = "SID"
ordinal_regression_loss = Ordi... | gregiberri/DepthPrediction | measuring_scripts/min_error_with_dorn.py | min_error_with_dorn.py | py | 1,138 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "ml.modules.losses.ordinal_regression_loss.OrdinalRegressionLoss",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.exp",
"line_number": 26,
"usage_type": "call"
},
{
... |
6751040076 | import sys
import decimal
import re
from PyQt5.QtWidgets import QDialog
from PyQt5.QtCore import Qt
import user as userdetail
from lib.utils.evalenv import evalenv
from db.models import Selfdefinedformat, Forms
from product.controllers.productcontroller import ProductController
from stuff.controllers.stuffcontroller ... | zxcvbnmz0x/gmpsystem | lib/xmlwidget/xmlread.py | xmlread.py | py | 20,355 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PyQt5.QtCore.Qt.AlignLeft",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore.Qt",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.Qt.AlignHCenter",
"line_number": 53,
"usage_type": "attribute"
},
{
"... |
25622745933 | from sqlalchemy import Column, ForeignKey, String, DateTime, Boolean, Enum
from sqlalchemy import func, exc
from sqlalchemy.dialects.postgresql import UUID
from uuid import uuid4
from .. import db
from enum import Enum
from datetime import datetime
#? https://stackoverflow.com/questions/33612625/how-to-model-enums-bac... | SpiritDeveloper/multi-translados-backend | src/multi/model/extra_expenses.py | extra_expenses.py | py | 2,977 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.dialects.postgresql.UUID",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "uuid.... |
22868454772 | import time
import pandas as pd
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from datetime import datetime # Config file purpose
options = Options()
options.add_argument("--incognito")
options.add_argument("--window-size=1920x1080")
# Driver path
driver = webdriver.Chrome(opt... | chois11/7071CEM-R | resources/crawler/layer_three.py | layer_three.py | py | 4,885 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 14,
"usage_type": "name"
},
{
... |
74330818023 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from enigma import eInputDeviceManager, eTimer
from Screens.Screen import Screen
from Screens.Rc import Rc
from Components.Sources.List import List
from Components.ActionMap import ActionMap
from Components.config import config
from Components.Sources.Stat... | opendreambox/enigma2 | usr/lib/enigma2/python/Plugins/SystemPlugins/InputDeviceManager/InputDeviceIRProg.py | InputDeviceIRProg.py | py | 6,801 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "Screens.Screen.Screen",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "CharJump.CharJump",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
74647038823 | import os
import networkx as nx
from networkx.drawing.nx_agraph import write_dot
from tree_parser.parser import DependencyParser
_path = os.path.dirname(__file__)
_save_filename = os.path.join(_path, '../data/tree_parser.model')
_text = """
In nuclear physics, the island of stability is a predicted set of isotopes... | fractalego/tree_parser | tree_parser/predict.py | predict.py | py | 781 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
36934201214 | import os
import sys
if sys.platform[:4] == "java": # Jython
import uk.ac.cam.ch.wwmm.opsin as opsin
else: # CPython
import jpype
if not jpype.isJVMStarted():
_jvm = os.environ['JPYPE_JVM']
if _jvm[0] == '"': # Handle trailing quotes
_jvm = _jvm[1:-1]
_cp = os.environ['C... | cinfony/cinfony | cinfony/opsin.py | opsin.py | py | 3,688 | python | en | code | 82 | github-code | 36 | [
{
"api_name": "sys.platform",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "jpype.isJVMStarted",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"l... |
71920473385 | from pathlib import Path
import requests
import json
# user is the name of the user
# type is either "ANIME" or "MANGA"
def get_list(user, type = "ANIME", queries = None):
if queries is None: queries = load_queries()
variables = {
'name': user,
'type': type
}
url = 'https://graphql.anil... | em-ilia/anilist-sync | anilist.py | anilist.py | py | 1,062 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.post",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 27,
"usage_type": "call"
}
] |
42672390948 | import logging
class LoggingService:
def __init__(self, name) -> None:
self.logger = logging.getLogger(name)
self.handler = logging.StreamHandler()
self.formatter = logging.Formatter(
'%(asctime)s [%(name)-12s] %(levelname)-8s %(message)s')
self.handler.setFormat... | team-ananas-og-mango/SaxoStockService | saxo_stock_service/loggingservice.py | loggingservice.py | py | 429 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG"... |
12179384689 | import itertools
from unittest.mock import Mock
from sukoon.kernel import SukoonKernel
def test_all():
test_data = open("test/basic.py")
test = ''
expected = ''
for line in itertools.chain(test_data, ['']):
if line.startswith('##'):
expected += line[2:].lstrip()
elif line... | hyperparameter/sukoon | test/test_run.py | test_run.py | py | 735 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "itertools.chain",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sukoon.kernel.SukoonKernel",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "unittest.mock.Mock",
"line_number": 25,
"usage_type": "call"
}
] |
8757575635 | # -*- coding: utf-8 -*-
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl).
import itertools
import json
from odoo import models, fields, api, _
from odoo.addons.sale.models.sale import SaleOrderLine as SOL
from odoo.addons.sale.models.sale import SaleOrder as SO
from odoo.tools import float_compare, float... | odof/openfire | of_sale/models/of_sale.py | of_sale.py | py | 69,395 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "odoo.tools.float_compare",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "odoo.api.onchange",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "odoo.api",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "odoo.addons.sale.... |
9409618118 | """Test cases for 'Mailgun' provider module."""
import pytest
import f451_comms.constants as const
import f451_comms.providers.mailgun as mailgun
from f451_comms.exceptions import MissingAttributeError
# =========================================================
# G L O B A L S & P Y T E S T F I X T U R E S... | mlanser/f451-comms | tests/providers/test_mailgun.py | test_mailgun.py | py | 8,844 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "pytest.fixture",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "f451_comms.constants.KWD_FROM_NAME",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "f451_comms.constants",
"line_number": 30,
"usage_type": "name"
},
{
"api_n... |
24391185825 | from flask import Blueprint, request, jsonify
import pandas as pd
import requests
import mysql.connector as connection
db = connection.connect(host='database-midway.cnjonpzevrxo.us-east-1.rds.amazonaws.com',user='admin', password='root1234', database= 'midway')
search_bp = Blueprint('search', __name__)
@search_bp.... | KavindaDharmasiri/midway-backend | search.py | search.py | py | 2,244 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mysql.connector.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "mysql.connector",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.ar... |
7950602535 | import discord
from discord.ext import commands
try:
import cPickle as pickle
except ImportError:
import pickle
def loadPickle(file : str):
with open(file, 'rb') as f:
data = pickle.load(f)
return data
def dumpPickle(data, file : str):
with open(file, 'wb') as f:
pick... | nath1100/Kamikaze-Bot | cogs/utilities/tools.py | tools.py | py | 1,198 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pickle.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "discord.Embed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number"... |
586835230 | # Residual block architecture
import torch
import torch.nn as nn
from torch.nn import functional as F
from torch.autograd import Variable
import pdb
class ConvLayer(nn.Module):
def __init__(self, in_channels, out_channels, sn, kernel_size, stride):
super(ConvLayer, self).__init__()
padding = (ke... | trainsn/TSR-TVD | model/basicblock.py | basicblock.py | py | 7,192 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv3d",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
33780162767 | from flask import Flask, render_template, session
from flask_session import Session
from app.api.controllers import api
from logging.handlers import TimedRotatingFileHandler
import config, logging
app = Flask(__name__, static_folder="static")
app.config.from_object("config")
app.config['JSON_AS_ASCII'] = False
app.c... | pachecobeto95/IC | SensingBusV2/webapi/app/__init__.py | __init__.py | py | 712 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "app.api.controllers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app.api.controllers.config.from_object",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "... |
31062436935 |
from ..utils import Object
class BankCardInfo(Object):
"""
Information about a bank card
Attributes:
ID (:obj:`str`): ``BankCardInfo``
Args:
title (:obj:`str`):
Title of the bank card description
actions (List of :class:`telegram.api.types.bankCardActionOpenUr... | iTeam-co/pytglib | pytglib/api/types/bank_card_info.py | bank_card_info.py | py | 865 | python | en | code | 20 | github-code | 36 | [
{
"api_name": "utils.Object",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "utils.Object.read",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "utils.Object",
"line_number": 35,
"usage_type": "name"
}
] |
74698894504 | import hashlib
import datetime
from fastapi import UploadFile
from motor.motor_asyncio import AsyncIOMotorClient
from config import settings
from models import UploadPhoto, UploadUser, Photo
def Hash(string: str):
hash = hashlib.sha256(string.encode('utf-8')).digest().decode('utf-8')
return hash
class DB:
... | NIDILLIN/Kathrin | Microservices/Photos(1405)/db.py | db.py | py | 1,762 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "hashlib.sha256",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "motor.motor_asyncio.AsyncIOMotorClient",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "config.settings.mongo_host",
"line_number": 20,
"usage_type": "attribute"
},
{
... |
4578609455 | from itertools import combinations
n,k = [int(x) for x in input().split()]
work = {} #work เก็บงานของอุปกรณ์
price = {} #price เก็บราคาของอุปกรณ์
for i in range(n):
data = [int(x) for x in input().split()]
work[i] =set([j-1 for j in range(1,k+1) if data[j] == 1])
price[i] = data[0]
check = set([i for i in... | naphattar/Betaprogramming | Chapter 1/1036.ver2.py | 1036.ver2.py | py | 860 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "itertools.combinations",
"line_number": 13,
"usage_type": "call"
}
] |
37458237517 | import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
plt.rcParams['font.size'] = 14
M = 15
k = 2
c = 5
ν = c / M
ω = k / M
def f(u, t, ν, ω):
"""
u: [x,v]
δu/δt = f(u) = [δx/δt, δv/δt] = [v, a]
1) Ma + kv + cx = 0
2) Ma = -kv - cx
3) let ν = c/M; ω=k/m
... | lbrichards/asaka | mass_spring.py | mass_spring.py | py | 1,890 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.lin... |
70105956265 | #%%
import torch
from torch.utils.data import Dataset, DataLoader
import glob
from sklearn.model_selection import train_test_split
labeled_dir = "D:/Images_segmentation/Ellipse/pseudo_training/6_images_pt_512"
mask_dir = "D:/Images_segmentation/Ellipse/pseudo_training/6_masks_pt_512"
unlabeled_dir = "D:/Images_nanoma... | lucasdegeorge/NW_SemSeg | dataloader.py | dataloader.py | py | 2,241 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Datas... |
719866394 | # -*- coding: utf-8 -*-
from Acquisition import aq_base
from plone.app.contenttypes.testing import PLONE_APP_CONTENTTYPES_FIXTURE
from plone.app.discussion.interfaces import IDiscussionSettings
from plone.app.testing import FunctionalTesting
from plone.app.testing import PLONE_FIXTURE
from plone.app.testing import Plon... | collective/collective.honeypot | collective/honeypot/testing.py | testing.py | py | 3,337 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "collective.honeypot.config.honeypot",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "collective.honeypot.config",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "collective.honeypot.config.honeypot",
"line_number": 23,
"usage_type"... |
40745506193 | import json
import os
import torch
import torch.nn as nn
import pandas as pd
import argparse
from test import test
from src.dataset import create_dataloader
from src.utils import (
read_feature,
feature_extraction_pipeline,
read_features_files,
choose_model,
)
from src.data_augmentation import Mixup, Sp... | rafaelgreca/ser-wavelet | train.py | train.py | py | 16,934 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "torch.optim... |
70437779623 | import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QLabel, QPushButton, QVBoxLayout, QWidget, QFileDialog, QTextEdit
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score, confusion_matrix
c... | kgurudarshan/Heart-Failure-Prediction | UI.py | UI.py | py | 2,907 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QPushButton",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QPushButton",
"line_number": 23,
"usage_type": "call"
},
{
... |
27037952147 | import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d
import torch
import os
def plot_pcu(vector):
fig = plt.figure()
ax = plt.axes(projection='3d')
xdata = vector[:, 0]
ydata = vector[:, 1]
zdata = vector[:, 2]
ax.scatter3D(xdata, ydata, zdata, cmap='Greens')
plt.... | AbdullrahmanHMD/TransformersFor3dPointCLouds | utils.py | utils.py | py | 1,284 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.axes",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplo... |
2846448684 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 30 17:52:31 2018
@author: khanhdeux
"""
import numpy as np
import matplotlib.pyplot as plt
from lib import plot_decision_regions
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
def sigmoid(z):
... | khanhdeux/ml | logisticRegression.py | logisticRegression.py | py | 3,857 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.exp",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
38802287949 | #!/usr/bin/python3
import logging
import sys
from scapy.all import *
logging.getLogger("scapy.runtime").setLevel(logging.ERROR)
def parsePacket(packet):
if not packet.haslayer("TCP") or not packet.haslayer("Raw"):
return
# Return if packet doesn't use HTTP protocol or isn't a GET request
if b'HT... | TateRCXVII/4440-NetSec | attack2.py | attack2.py | py | 762 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 25,
"usage_type": "attribute"
}
] |
8986849807 | from winstealer import *
import json
winstealer_script_info = {
"script": "Vision Tracker",
"author": "bckd00r",
"description": "Tracks enemy invisible objects and clones",
}
show_clones, show_wards, show_traps, ward_awareness = None, None, None, None
blue_to_side_brush = {
"clickPosition": Vec3(2380... | 8C/Xopher-lol | GameplayScripts/vision_tracker.py | vision_tracker.py | py | 8,011 | python | en | code | 14 | github-code | 36 | [
{
"api_name": "json.loads",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 113,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 1... |
22636055069 | import os
import functools
import copy
import mimetypes
import urllib.parse
import email
import logging
import tracemalloc
import feedparser
from lxml import etree # nosec B410
logger = logging.getLogger(__name__)
# Configure the XML parser as securely as possible since we're parsing XML from
# untrusted sources:
... | rpatterson/feed-archiver | src/feedarchiver/utils.py | utils.py | py | 8,034 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "lxml.etree.XMLParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "os.environ",
"l... |
72170371625 | import streamlit as st
from streamlit_lottie import st_lottie
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from lightgbm import LGBMClassifier
from catboost import CatBoostClassifier
import json
import joblib
import pickle
import shap
from webapp.pred_pipeline_user_input_... | dagartga/Boosted-Models-for-Parkinsons-Prediction | streamlit_app.py | streamlit_app.py | py | 17,417 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "streamlit_lottie.st_lottie",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "stream... |
3289421742 | """Automatically initialize variables."""
from __future__ import division
import textwrap
from pyomo.core.base.var import Var
from pyomo.core.kernel.numvalue import value
from pyomo.core.plugins.transform.hierarchy import IsomorphicTransformation
from pyomo.util.plugin import alias
class InitMidpoint(IsomorphicTran... | igorsowa9/vpp | venv/lib/python3.6/site-packages/pyomo/contrib/preprocessing/plugins/init_vars.py | init_vars.py | py | 2,978 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "pyomo.core.plugins.transform.hierarchy.IsomorphicTransformation",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pyomo.util.plugin.alias",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "textwrap.fill",
"line_number": 22,
"usage_type": ... |
31097536057 | from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support.ui import Select
from selenium.webdriver.common.keys import Keys
from pytesserac... | akash-attri/legality | crawler.py | crawler.py | py | 3,557 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api... |
37268264175 | import html
from telegram import Chat, InlineKeyboardButton, InlineKeyboardMarkup, ParseMode, Update
from telegram.error import BadRequest, Unauthorized
from telegram.ext import (
CallbackContext,
CallbackQueryHandler,
CommandHandler,
Filters,
MessageHandler,
run_async,
)
from telegram.utils.he... | Mizo-Noob-Developer/Sangtei | Sangtei/modules/reporting.py | reporting.py | py | 11,411 | python | en | code | null | github-code | 36 | [
{
"api_name": "Sangtei.DRAGONS",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "Sangtei.TIGERS",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "Sangtei.WOLVES",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "telegram.Update",
"... |
3212721770 | import re
from itertools import groupby
from operator import itemgetter
def part1(rows):
result = 0
for row in rows:
_, identifier, real = id_if_real(row)
if real:
result += identifier
return result
def part2(rows):
for row in rows:
name, identifier, real = id_if_... | heijp06/AoC-2016 | day04/lib.py | lib.py | py | 1,283 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.match",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
... |
30303644357 | #Import Sleeper Functions
import SleeperFunctions.sleeperfunctions as sleeperData
#Import Keep,Trade,Cut Functions
import KeepTradeCutFunctions.KTCfunctions as KTCdata
import pandas as pd
from UserLeagueClass.user_league_info_class import user_league_info
from UserLeagueClass.user_league_users_class import user... | jpagel1/Sleeper_KTC_Streamlit_Version | UserLeagueClass/user_sleeperleague_class.py | user_sleeperleague_class.py | py | 15,793 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "UserLeagueClass.user_league_info_class.user_league_info",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "UserLeagueClass.user_league_rosters_class.user_league_rosters",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "UserLeagueClass.user_league... |
4676474414 | #!/usr/bin/env python3
"""Module defines `filter_datum` function
"""
import logging
import mysql.connector
from os import environ
import re
from typing import List
PII_FIELDS = ("name", "email", "phone", "ssn", "password")
class RedactingFormatter(logging.Formatter):
""" Redacting Formatter class
"""
... | leykun-gizaw/alx-backend-user-data | 0x00-personal_data/filtered_logger.py | filtered_logger.py | py | 3,115 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.Formatter",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "logging.LogRecord",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "logging.For... |
23522576847 | """
Multilayer perceptron for cycloid and Lorenz attractor.
"Eugene Morozov"<Eugene ~at~ HiEugene.com>
"""
import matplotlib.pyplot as plt
import torch.nn
import torch.nn as nn
import torch.optim as optim
import scipy.linalg
from scipy.integrate import odeint
from util import *
v = 1
epoch_sec = 1 # int(time.time())... | eugegit/examples | nn_cycloid.py | nn_cycloid.py | py | 21,540 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "matp... |
41924656937 | import json # JSON modülünü içe aktar
from kafka import KafkaConsumer # kafka kütüphanesinden KafkaConsumer sınıfını içe aktar
kafka_bootstrap_servers = 'localhost:9092' # Kafka başlangıç sunucularını belirle
kafka_topic = 'your_kafka_topic' # Kafka konusunu belirle
consumer = KafkaConsumer( # KafkaConsumer nes... | sumeyyenacar/Kafka-CDC-Producer-Consumer-Mongodb-Project | consumer/tuketici.py | tuketici.py | py | 904 | python | tr | code | 0 | github-code | 36 | [
{
"api_name": "kafka.KafkaConsumer",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
}
] |
26317282313 | import base64
import datetime
import glob
import logging
import os
import re
import time
import types
from importlib import util
from random import Random, shuffle
import toml
import yaml
from kapitan import cached, defaults, utils
from kapitan.errors import CompileError
from six import string_types
logger = logging.... | kapicorp/kapitan | kapitan/inputs/jinja2_filters.py | jinja2_filters.py | py | 6,140 | python | en | code | 1,719 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "kapitan.utils.sha256_string",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "kapitan.utils",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "os.p... |
26793988072 | from django.shortcuts import render
from django.http import HttpResponse
import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import linear_kernel
from surprise import Reader, Dataset, SVD
from surprise.model_selection import KFold
import pickl... | yadavgaurav251/Context-Aware-Recommender | UI/rec/views.py | views.py | py | 22,276 | python | en | code | 19 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
28136082705 | # coding=utf-8
from __future__ import absolute_import
__author__ = "Gina Häußge <osd@foosel.net>"
__license__ = 'GNU Affero General Public License http://www.gnu.org/licenses/agpl.html'
__copyright__ = "Copyright (C) 2014 The OctoPrint Project - Released under terms of the AGPLv3 License"
import logging
from flask i... | OctoPrint/OctoPrint-Netconnectd | octoprint_netconnectd/__init__.py | __init__.py | py | 6,382 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "octoprint.plugin.plugin",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "octoprint.plugin",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "octoprint.plugin.plugin",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_na... |
40860207729 | import logging
import time
from airhockey.utils import Timeout
class AwaitVideoHandler(object):
SUCCESS = "SUCCESS"
TIMEOUT = "TIMEOUT"
def __init__(self, video_stream, timeout):
self.video_stream = video_stream
self.timeout = timeout
self.logger = logging.getLogger(__name__)
... | peter-svintsitskyi/airhockey | airhockey/handlers/await_video.py | await_video.py | py | 799 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "airhockey.utils.Timeout",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.slee... |
37208304076 | #!/usr/bin/env python3.6
import os, sys
import yaml
from lmfit import Model
from lmfit.models import GaussianModel
from lmfit.model import save_modelresult
from lmfit.model import load_modelresult
from reproject import reproject_exact
from astropy.io import ascii, fits
from astropy.table import Table, Column
import... | Fil8/GuFo | scavengers/momPlay.py | momPlay.py | py | 52,897 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tPlay.tplay",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cvPlay.convert",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bptPlot.BPTplot",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "momPlot.MOMplot",
"lin... |
23993127692 | '''
301. Remove Invalid Parentheses
https://leetcode.com/problems/remove-invalid-parentheses/
'''
from collections import deque
from typing import List
def removeInvalidParentheses(self, s: str) -> List[str]:
# helper to check if the expression is valid
def isValid(expr):
count = 0
for ch i... | asset311/leetcode | strings/remove_invalid_parentheses.py | remove_invalid_parentheses.py | py | 1,459 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
}
] |
31432419627 | # -*- coding: utf-8 -*-
# This file is part of wger Workout Manager.
#
# wger Workout Manager is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any ... | andela/wger-sparta | wger/nutrition/signals.py | signals.py | py | 1,609 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.core.cache.cache.delete",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "django.core.cache.cache",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "django.dispatch.receiver",
"line_number": 24,
"usage_type": "call"
},
{
"a... |
11874793301 | from setuptools import setup
with open('README.md') as reader:
long_description = reader.read()
setup(
author='Jaedson Silva',
author_email='imunknowuser@protonmail.com',
name='ufinder',
version='1.0.0',
description='Search URL paths with UFinder.',
long_description=long_description,
l... | jaedsonpys/ufinder | setup.py | setup.py | py | 1,161 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
}
] |
72593481705 | import re
import json
from random import randint
from datetime import datetime
# FORMATTING
############
def format_processo_juridico(legal_process_id): # type: (str) -> (str)
"""
Format an adequately formatted numbers-only Legal Process ID number,
Returns a Legal Process ID number formatted with stan... | brazilian-utils/brutils-python | brutils/legal_process.py | legal_process.py | py | 3,189 | python | en | code | 112 | github-code | 36 | [
{
"api_name": "re.sub",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "random.randint",
"... |
11394943095 | from argparse import Namespace
opts = Namespace()
# StyleGAN2 setting
opts.size = 1024
opts.ckpt = "pretrained_models/ffhq.pt"
opts.channel_multiplier = 2
opts.latent = 512
opts.n_mlp = 8
# loss options
opts.percept_lambda = 1.0
opts.l2_lambda = 1.0
opts.p_norm_lambda = 1e-3
# arguments
opts.device = 'cuda'
opts.s... | ZPdesu/MindTheGap | options/face_embed_options.py | face_embed_options.py | py | 561 | python | en | code | 47 | github-code | 36 | [
{
"api_name": "argparse.Namespace",
"line_number": 4,
"usage_type": "call"
}
] |
7755819569 | from funclib.resources import Resources
from funclib.stamps.stamp import TRANSPARENT, ImageStamp
from PIL import Image, ImageDraw, ImageFont
from PIL.Image import Image as PILImage
class LogoStamp(ImageStamp):
def apply(self, image: PILImage) -> PILImage:
logo = Image.open(Resources.logo_path())
... | microsoft/planetary-computer-apis | pcfuncs/funclib/stamps/branding.py | branding.py | py | 1,709 | python | en | code | 88 | github-code | 36 | [
{
"api_name": "funclib.stamps.stamp.ImageStamp",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PIL.Image.Image",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image... |
15681614045 | import logging
import os
import time
# import traceback
import csurpc
import config
__server_address = None
__get_server_address_time = 0
def get_server_address():
return __server_address
def get_server_connect():
global __server_address
global __get_server_address_time
try:
str_server_ad... | csudata/clup-agent | lib/rpc_utils.py | rpc_utils.py | py | 6,001 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "config.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.fatal",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os._exit",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.fatal",
"line_number": ... |
42914797613 | import csv
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import numpy as np
from sklearn.model_selection import train_test_split
import sklearn
from tensorflow.keras.models import Model, Sequential
from tensorflow.keras.layers import Flatten, Dense, Activation, Dropout, Lambda, Cropping2D, Conv2D, ... | juandarr/Behavioral-cloning | model.py | model.py | py | 5,823 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "csv.reader",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 28,
"usage_type": "call"
},
{
"api_nam... |
14145252892 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 24 19:17:44 2020
@author: b
https://www.youtube.com/watch?v=T4nZDuakYlU&list=PLO_fdPEVlfKoHQ3Ua2NtDL4nmynQC8YiS&index=9
Selection de variable
Dnas le module sklearn.module_selection,
on retrouve les transformers et les tests de dépendances
Selecteu... | b846/Data | 4b YT Modele selection.py | 4b YT Modele selection.py | py | 3,976 | python | fr | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "m... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.