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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
71132158120 | from dotenv import load_dotenv
from dataclasses import dataclass
from enum import Enum
from typing import Sequence
import tibber
from influxdb_client.client.influxdb_client_async import InfluxDBClientAsync
load_dotenv()
@dataclass
class Price:
time: str
level: str
total: float
unit: str
async def f... | aurlien/tibber-influxdb | src/tibber-influx/price_service.py | price_service.py | py | 1,246 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "tibber.Tibber",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "typing.Seq... |
28141440650 | from PyQt5 import QtWidgets, QtGui, QtCore
from PyQt5.QtWidgets import QFileDialog as Qfd
from ui_views.Views import toolbox, Menubar
# from numpy import unique
# from ui_views.vector_edit import Ui_vector_widget
class MainUI(QtWidgets.QMainWindow):
keyPressed = QtCore.pyqtSignal(QtCore.QEvent)
def __init__... | kny5/strucpy | ui_views/MainUI.py | MainUI.py | py | 3,316 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 10,
"usage_type": "call"
},
{
"api_name":... |
13438589292 | import numpy as np
import cv2
image = cv2.imread('../Table4.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
image_flt = np.float32(gray)
dst = cv2.cornerHarris(image_flt, 20, 3,10)
dst = cv2.dilate(dst, None)
image[dst > 0.01 * dst.max()] = [0, 0, 255]
cv2.imshow('Detected corners', image)
cv2.waitKe... | cmurph77/python_vision_ass | IGNORE/python_vision_practise/corners/harris_corner.py | harris_corner.py | py | 352 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
"lin... |
42358768702 | from game import GameOfChess
import pygame
import sys
from pygame.constants import QUIT
from pygame.draw import rect
from pieces import *
import LegalMove
import ai
import Engine
pygame.init()
pygame.font.init()
WIN = pygame.display.set_mode([830, 870])
pygame.display.set_caption("Quin's Chess Game!")
myfont = pygam... | QuinPoley/ChessGame | main.py | main.py | py | 12,830 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.font.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode... |
26784093630 | from typing import cast
from Charon.VirtualFile import VirtualFile #To open UFP files.
from Charon.OpenMode import OpenMode #To indicate that we want to write to UFP files.
from io import StringIO #For converting g-code to bytes.
from UM.Logger import Logger
from UM.Mesh.MeshWriter import MeshWriter #The writer we ne... | Szu-Chi/3d-printing-with-moveo | Cura/Cura/plugins/UFPWriter/UFPWriter.py | UFPWriter.py | py | 6,021 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "UM.i18n.i18nCatalog",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "UM.Mesh.MeshWriter.MeshWriter",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "UM.MimeTypeDatabase.MimeTypeDatabase.addMimeType",
"line_number": 25,
"usage_type": "ca... |
5488525803 | import numpy as np
import pandas as pd
from pandas_ods_reader import read_ods
# importation of linked python file
import fonctions_machine_learning as ml
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
from sklearn.metrics import r2_score
pd.set_option('display.max_... | dimitri-feniou/django_abrestauration | Ml/main.py | main.py | py | 3,231 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.set_option",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas_ods_reader.read_ods",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas_ods_reader.read_ods",
"line_number": 19,
"usage_type": "call"
},
{
"api_name"... |
71210639079 | import httplib
import ssl
import logging
import traceback
import socket
from cpc.network.com.connection_base import ConnectionBase
from cpc.network.https.real_https_connection import HttpsConnectionWithCertReq, \
HttpsConnectionNoCertReq
from cpc.network.https_connection_pool import ServerConnectionPool, Connectio... | gromacs/copernicus | cpc/network/com/server_connection.py | server_connection.py | py | 5,412 | python | en | code | 17 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cpc.util.CpcError",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "cpc.network.com.connection_base.ConnectionBase",
"line_number": 21,
"usage_type": "name"
},
{
... |
30743448136 | import uproot
import matplotlib.pyplot as plt
import numpy as np
#import functions as fnc
# Viewing particular event of particular file.
# Open the data, apply to variable
file = r"D:\Documents 2\Uni\YEAR5\MPhys\ROOT_FILES\RUN000008\Run_8_PMT_162_Loc_9_Test_N.root"
# File directory specific, just to remove the E:\PMT... | CasperMcTavish/MPhys | Misc Macros/eventview.py | eventview.py | py | 1,153 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "uproot.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplo... |
9067363670 | from PIL.Image import Image
from django.contrib.auth import authenticate, login, logout
from django.shortcuts import render,redirect
from.forms import SignupUser,UserLoginForm
from django.contrib.auth.models import User
from RegisterApp.models import *
from django.contrib.auth.decorators import login_required
#... | dipakbaghele/User_Sign_Login-form | RegisterApp/views.py | views.py | py | 2,483 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "forms.SignupUser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "forms.SignupUser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.sh... |
40119822347 | import tensorflow as tf
#config = tf.ConfigProto(log_device_placement=True, allow_soft_placement=True)
config = tf.ConfigProto(allow_soft_placement=True)
config.gpu_options.allow_growth = True
#config.gpu_options.per_process_gpu_memory_fraction = 0.4
sess = tf.Session(config=config)
from keras import backend as K
K.s... | GaopanHuang/DigitRecognizer | loadvgg16formnist.py | loadvgg16formnist.py | py | 2,417 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.ConfigProto",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "keras.backend.set_session",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ker... |
31499894891 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@desc:
@author: DYL
@contact: chng547835@163.com
@site: www.xxxx.com
@software: PyCharm @since:python 3.5.2 on 2016/11/3.10:49
"""
import tornado.ioloop
import tornado.web
from tornado import gen
from tornado.concurrent import Future
##tornado 异... | DYL521/web_python | 支持异步非阻塞的框架/s4.py | s4.py | py | 1,127 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "tornado.ioloop.web",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "tornado.ioloop",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "tornado.httpclient.AsyncHTTPClient",
"line_number": 20,
"usage_type": "call"
},
{
"api_nam... |
72895899879 | import os
from flask import Flask, render_template, request, redirect, url_for
import cv2
app = Flask(__name__)
# Set the upload folder and allowed extensions
app.config['UPLOAD_FOLDER'] = 'uploads'
app.config['ALLOWED_EXTENSIONS'] = {'jpg', 'jpeg', 'png'}
# Create a HOGDescriptor object
hog = cv2.HOGDesc... | SaiNishanth-cloud/PedestrianTracking | pedestriandetection.py | pedestriandetection.py | py | 2,679 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.HOGDescriptor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.HOGDescriptor_getDefaultPeopleDetector",
"line_number": 13,
"usage_type": "call"
},
{
"api_name"... |
40691043849 | # -*- coding: utf-8 -*-
import os,sqlite3
db_file = os.path.join(os.path.dirname(__file__),'test.db')
if os.path.isfile(db_file):
os.remove(db_file)
conn = sqlite3.connect(db_file)
cursor = conn.cursor()
users = [('A-001', 'Adam', 95),
('A-002', 'Bart', 62),
('A-003', 'Lisa', 78)]
cursor.execute('cre... | tuhongwei/python-exercise | db/sqlite.py | sqlite.py | py | 1,052 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_num... |
8383377200 | # standard library imports
import logging, os, md5, sys
import hashlib, json
import simplejson
import time
from datetime import datetime
from HTMLParser import HTMLParser
# google
from google.appengine.ext import ndb
from google.appengine.api import urlfetch
from google.appengine.api import channel
# related webapp2 ... | kordless/stackmonkey-site | web/handlers/apihandlers.py | apihandlers.py | py | 29,871 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "web.basehandler.BaseHandler",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "web.models.models.Appliance.get_by_token",
"line_number": 61,
"usage_type": "call"
},
{
"a... |
4250162610 | import os
import random
import sys
import time
import requests
from bs4 import BeautifulSoup
headers = [
"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome... | azusachino/little-python | little-spider/yandre/fetcher.py | fetcher.py | py | 4,531 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.sep",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_... |
36599462564 | from django.urls import path, include
from .views import MainPageView, SPageView, TPageView, NewsFieldDetail, NewsFieldUpdate, NewsFieldDelete
urlpatterns = [
path('', MainPageView.as_view(), name='main'),
path('s', SPageView.as_view(), name='s'),
path('t', TPageView.as_view(), name='t'),
path('t/<i... | herasimprokofiev/djangoredsite | thesitefolder/urls.py | urls.py | py | 527 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.MainPageView.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.MainPageView",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.ur... |
2837315512 | import pandas as pd
import numpy as np
from numpy.core.fromnumeric import size
import scipy
from sklearn.neighbors import NearestNeighbors
import matplotlib.pyplot as plt
def sampling_neighbors(gene_unsplice_splice,step=(30,30),percentile=25):
from scipy.stats import norm
def gaussian_kernel(X, mu = 0, sigma... | GuangyuWangLab2021/cellDancer | src/celldancer/sampling.py | sampling.py | py | 11,402 | python | en | code | 46 | github-code | 18 | [
{
"api_name": "numpy.exp",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.min",
"line_number": 16,... |
8928368585 | import datetime
import json
import os
import random
import time
import xml.sax.saxutils as saxutils
from datetime import datetime
import azurelinuxagent.common.conf as conf
import azurelinuxagent.common.logger as logger
import azurelinuxagent.common.utils.textutil as textutil
from azurelinuxagent.common.datacontract i... | pexip/os-walinuxagent | azurelinuxagent/common/protocol/wire.py | wire.py | py | 52,190 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "azurelinuxagent.common.exception.HttpError",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "azurelinuxagent.common.exception.ProtocolError",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 66,
"usage_type":... |
11852783179 | #!/usr/bin/env python
# _*_ coding: utf-8 _*_
import serial
import time
from functools import reduce
MAX_ANGLE = 270
MIN_ANGLE = 0
def ListToStr(data):
strings = "".join(map(str, data))
return strings
def DataToStr(x, y):
if isinstance(x, str):
return x + chr(y)
else:
return chr(x) ... | MONOcircle/electric_shovel | ics35_py/serialServo.py | serialServo.py | py | 2,287 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "serial.Serial",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "serial.PARITY_EVEN",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "serial.STOPBITS_ONE",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "functo... |
71874881321 | from django.shortcuts import render
from rest_framework.views import APIView
from django.http import JsonResponse, HttpResponse
from .models import TopicHub, Hub, PlaylistOfHub, HubOfTopic
from .serializers import TopicHubSerializers, HubSerializers
from random import choice
from playlists.models import Playlists, Arti... | DUC-LV/zingmp3_projects | src/topic_category/views.py | views.py | py | 5,742 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.AllowAny",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 19,
"usage_type": "call"
},
... |
10026246279 | import random
import math
import collections
import datetime
import math
def get_user_brands(reco_file_path, end_date):
'''用户商品倒插表'''
beta = 0.5
reco_file=open(reco_file_path,"r")
reco_file.readline()
brand_pref = collections.defaultdict(lambda :0)
for line in reco_file:
line = line.str... | siegfang/draft | recommond/lfm/lfm.py | lfm.py | py | 5,030 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "collect... |
14941860821 | #-----------------------------------------------
# Import
#-----------------------------------------------
from __future__ import print_function
import pickle
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Req... | nealliddle/Automate-SOP-Creation | Read ARIS Files 2.py | Read ARIS Files 2.py | py | 13,947 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enchant.Dict",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_numb... |
37302259864 | M = 998244353
from collections import Counter
N = 1 + 10 ** 6
v = [False] * N
spf = [1] * N
for i in range(2, N, 2):
spf[i] = 2
for i in range(3, N, 2):
if not v[i]:
spf[i] = i
j = i
while j * i < N:
if not v[j * i]:
v[j * i] = True
spf[j *... | theabbie/leetcode | miscellaneous/E_Combinatorics_Problem.py | E_Combinatorics_Problem.py | py | 759 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "collections.Counter",
"line_number": 25,
"usage_type": "call"
}
] |
71453666600 | from PyQt5.QtWidgets import QMainWindow, QTableWidget, QTableWidgetItem, QApplication, QHeaderView,\
QMessageBox, QInputDialog, QDialog
from UI import Ui_MainWindow
from binarytree import BinaryTree
class MainWindow(QMainWindow):
def __init__(self, parent=None):
super(MainWindow, self).__init__(parent... | dt50/Translate-binary-sotring-tree | mainwindow_.py | mainwindow_.py | py | 2,377 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "UI.Ui_MainWindow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "binarytree.BinaryTree",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PyQ... |
14667583212 | class Events:
def __init__(self, config, template, timesheet, text_color):
self.config = config
self.template = template
self.timesheet = timesheet
self.text_color = text_color
def read_config(self):
import configparser
import logging
logger = l... | mehulved/fill_certificates | certificate-rewrite.py | certificate-rewrite.py | py | 3,451 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging... |
29691999765 | import roslibpy
import numpy as np
import quaternion
import time
import ros_mobile_client as rmc
from grounded_action import GroundedAction, GroundedActionPool, GroundedStep
import area_globalization as ag
from occupancygrid_tools import AreaChecker
from typing import List, Dict, Sequence
import matplotl... | wwwshwww/seeker | sagashimono.py | sagashimono.py | py | 6,690 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Sequence",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "numpy.random.randint",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
... |
35360004616 | import unittest
from bitcoin import LecturaInputs
class Test_Lecturas(unittest.TestCase):
def test_dict(self):
# Comprobamos si las funciones nos retornan un diccionario
dict_test = {} # Creo uno vacio que nos sirva de referencia
self.assertEqual(type(LecturaInputs.lectura_blocks()), type... | JaimePerez89/Bitcoin | test/testsLecturas.py | testsLecturas.py | py | 695 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "bitcoin.LecturaInputs.lectura_blocks",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bitcoin.LecturaInputs",
"line_number": 9,
"usage_type": "name"
},
{
"ap... |
19019395275 | #coding:utf-8
'''
定义一个graph Runner
'''
from PySide6.QtCore import QObject,Signal
from time import sleep
class VGRunner(QObject):
progress = Signal(int)
finished = Signal()
def __init__(self,func,*args,**kwds):
super().__init__()
self.func = func
self.args = args
self.k... | GAMEOMETRICS/VisualGraph-python | src/editor/tools/GraphRunner.py | GraphRunner.py | py | 525 | python | en | code | 71 | github-code | 18 | [
{
"api_name": "PySide6.QtCore.QObject",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PySide6.QtCore.Signal",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PySide6.QtCore.Signal",
"line_number": 13,
"usage_type": "call"
}
] |
1195135064 | import torch
import os
import wandb
import json
import torch.optim as optim
from PIL import Image
from utils import parser, misc
from utils.config import *
from tools import builder
from tqdm import tqdm
from my_datasets.my_PCN import get_dataloader
from utils.logger import *
from utils.AverageMeter import AverageMeter... | Soaring666/PoinTr | fold_registry.py | fold_registry.py | py | 6,080 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "wandb.login",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "wandb.init",
... |
71279977639 | from django.urls import path, include
from .views import *
urlpatterns = [
path('', home_budget, name="budget home"),
path('test/', test_page),
path('transactions', transactions_overview, name="transactions"),
path('categories', categories_summary, name="categories"),
path('accounts', accounts_summ... | DarioFi/BudgetApp | Budgeting/urls.py | urls.py | py | 1,166 | python | en | code | 0 | github-code | 18 | [
{
"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",
... |
70954658600 | from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import *
from PlasticRinseDialog import PlasticRinseDialog
from RecycleDialog import RecycleDialog
from ServoFuncs import openLid
from Worker import Worker
class PlasticFoodLiquidDialog(object):
def setupPlasticFoodLiquid(self, Dialog):
... | brettsherwood/EMMA | PlasticFoodLiquidDialog.py | PlasticFoodLiquidDialog.py | py | 4,204 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QGridLayout",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "Py... |
23694174017 | from django.shortcuts import render
from rest_framework.views import APIView
from rest_framework.response import Response
from django.forms.models import model_to_dict
from .models import Team
from .errors import *
import ipdb
from datetime import datetime
class TeamView(APIView):
def post(self, request):
... | Kenzie-Academy-Brasil-Developers/kopa-do-mundo-victor | teams/views.py | views.py | py | 3,006 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "name"
},
{
"api_nam... |
2546480706 | #!/usr/bin/env python2
from __future__ import print_function
import sys, subprocess, os, time
def usage():
print("Usage: {0} tcid genomeid".format(sys.argv[0]))
exit(1)
def makedb(fn, outdir):
title = os.path.splitext(os.path.basename(fn))[0]
outpath = outdir + '/' + title
title += ' {}'.format(time.strftime('... | SaierLaboratory/TCDBtools | bin/genomebot.py | genomebot.py | py | 4,404 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.splitext",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"li... |
42621675684 | from modules.configuration import Configuration
from tensorboard import default
from tensorboard import program
import tensorflow as tf
import datetime
class TensorboardManager():
def __init__(self, configuration: Configuration):
self.tensorboard_current_run_log_directory = "{}\Shakespear-{}".format(confi... | nekon1987/shakespear-lstm | modules/tensorboard.py | tensorboard.py | py | 1,369 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "modules.configuration.Configuration",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "attribute"
},
{
"a... |
44361107688 | #!/usr/bin/python3
# coding: utf-8
""" Define a partial view to display packages in the list"""
#
# (c) 2018-2022 Siveo, http://www.siveo.net
#
# This file is part of Pulse 2, http://www.siveo.net
#
# Pulse 2 is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License ... | medulla-tech/kiosk-interface | kiosk_interface/views/toaster.py | toaster.py | py | 4,541 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.Qt.Widget",
"line_number": 67,
"usage_type": "attribute"
},
{
"api_n... |
71941509159 | # Biblioteca SQLite3
import sqlite3
# Conexão com o banco de dados
con = sqlite3.connect("my_dbpython")
cursor = con.cursor()
# Criando função para cadastrar usuários
def CadastrarUsuario():
# Nome do usuário
nome = input("\nEntre com o nome: ")
# Senha do usuário
senha = input("\nEntre com uma senha:... | guferrara12/Projeto-Python-SQL | Sistema_Emprestimo_Python_SQLite/main.py | main.py | py | 9,291 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 5,
"usage_type": "call"
}
] |
72959757481 | import numpy as np
from scipy.stats import spearmanr, norm
import matplotlib.pyplot as plt
from brainsmash.mapgen.base import Base
from visualisation import plot_correlations_ci
def corr_single(sc_isv,fc_grads,n_grads=5):
"""Calculate spearman correlation coeff. of given SC ISV and functional gradients"""
cor... | ChrisAlexNorman/CUBRIC_FC | gradients/corr_functions.py | corr_functions.py | py | 8,166 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scipy.stats.spearmanr",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_... |
73955077480 | #!/usr/bin/env python3
from __future__ import annotations
import datetime as dt
import http.cookies
import json
import tempfile
import time
import urllib.parse
from http.cookiejar import Cookie
from pathlib import Path
from typing import Sequence
import httpx
from httpx import AsyncClient, Request, Response
from . ... | Congee/httpx.har | httpxhar/main.py | main.py | py | 5,526 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "httpx.Request",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "httpx.AsyncClient",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "typing.Sequence",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "httpx.__version__",
... |
18622813954 | import numpy as np
import torch as th
from torch import nn
from torch import optim
import random
from collections import deque
np.random.seed(1)
class DeepQLearning:
def __init__(
self,
n_actions,
n_features,
learning_rate,
discount_fa... | radajakub/DQN | src/DQN.py | DQN.py | py | 4,075 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam"... |
38453335068 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from maintenance.models import MaintenanceRequest
from maintenance.serializers import MaintenanceReadSerializer, MaintenancePostSerializer, MaintenanceUpdateSerializer, CommentSerializer
from rest_framework.views import... | kdenny/parrot-dj-app | maintenance/views.py | views.py | py | 4,393 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "maintenance.models.MaintenanceRequest.objects.exclude",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "maintenance.models.MaintenanceRequest.objects",
"line_numb... |
32196752918 | import os
import sys
import constants
import argparse
from HTMLOperations import HTMLOperations
from XMLOperations import XMLOperations
from AggregateOperations import AggregateOperations
parser = argparse.ArgumentParser(description="Generate insights from text snapshots of your Whatsapp group chats.")
parser.add_argu... | ace-racer/WhatsAppMessagesInsights | main.py | main.py | py | 2,655 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.split",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
2518483187 | import os
import unittest
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.by import By
class SearchTests(unittest.TestCase):
def setUp(self):
dire = os.path.dirname(os.path.abspath(__file__... | Cheryl008/iCure | test/test_search.py | test_search.py | py | 904 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
... |
22912231363 | import logging
logger = logging.getLogger(__name__)
from .base_info_loss import BaseInfoLossMetric
from .am import AttributeInfoLoss
from .dm import OutDegreeInfoLoss, InDegreeInfoLoss, OutInDegreeInfoLoss
class AttributeOutInDegreeInfoLoss(BaseInfoLossMetric):
def __init__(self, subgraph, args):
super(... | tuhoag/sequential-anonygraph | anonygraph/info_loss/adm.py | adm.py | py | 1,203 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "base_info_loss.BaseInfoLossMetric",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "am.AttributeInfoLoss",
"line_number": 14,
"usage_type": "call"
},
{
"api_name"... |
39812898732 | """
https://www.youtube.com/watch?v=PjhlUzp_cU0&t=960s
나도코딩
파이썬 코딩 무료 강의 (활용편5) - 데이터 분석 및 시각화, 이 영상 하나로 끝내세요
2022-08-02 03:58:10 ~ 04:05:02
"""
import matplotlib.pyplot as plt
import matplotlib
matplotlib.rcParams['font.family'] = 'AppleGothic'
matplotlib.rcParams['font.size'] = 15
matplotlib.rcParams['axes.unicode... | jungmyung-kr/Python_Review | Others/DataAnalysis_and_Visualization/2_Matplotlib/09_Barplot_advanced.py | 09_Barplot_advanced.py | py | 1,252 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_na... |
23137836380 | from rest_framework import viewsets
from currency.models import Rate, Source, ContactUs
from currency.api.serializers import RateSerializer, SourceSerializer, ContactUsSerializer
from currency.api.paginators import TenThousandPagination
from currency.filters import RateFilter, ContactUsFilter
from django_filters impo... | Giperelk/currency | app/currency/api/views.py | views.py | py | 1,457 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "currency.models.Source.objects.all",
"line_number": 13,
"usage_type": "... |
1340876580 | # Created by matveyev at 18.02.2021
"""
General class for opened file/stream
"""
import numpy as np
import logging
from PyQt5 import QtCore
from petra_viewer.main_window import APP_NAME
logger = logging.getLogger(APP_NAME)
class BaseDataSet(object):
# --------------------------------------------------------... | yamedvedya/data_viewer | petra_viewer/data_sources/base_classes/base_data_set.py | base_data_set.py | py | 16,626 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "petra_viewer.main_window.APP_NAME",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "n... |
42260244758 | import difflib
import string
from nltk import word_tokenize
# This function extracts the name of the user from the user's input.
def extract_name(sentence):
# Handle exception
if sentence.strip().find(' ') == -1:
return sentence
# De-punctuate and tokenise sentences.
tran_punc = str.maketran... | single-single/Interactive-NLP-based-System | identityManagement.py | identityManagement.py | py | 1,067 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "string.punctuation",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "difflib.SequenceMatcher",
"line_number": 27,
"usage_type": "call"
}
] |
19218901717 | import requests
import urllib3
import os.path
from datetime import datetime
from urllib3 import disable_warnings
def printmsg(msg):
print(f"{str(datetime.now())[:-7]}\t{msg}")
session = requests.session()
path = os.path.split(os.path.realpath(__file__))[0]
if os.path.exists(path + "/jwt"):
printmsg("cookie存... | TwoOnefour/biyapay | Api.py | Api.py | py | 2,178 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "requests.session",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.path.s... |
5694262292 | import binascii
from Crypto.Random import get_random_bytes
from Crypto.Cipher import AES
from Crypto.Util import Counter
import argparse
# length in bytes
KEY_LEN = 16
NONCE_LEN = 16
# counter length in bits
CTR_LEN = 128
def int_of_string(s):
return int(binascii.hexlify(s), 16)
def byte_xor(ba1, ba2):
non_... | ericcao119/ermalloc | encryption-test/ctr.py | ctr.py | py | 2,157 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "binascii.hexlify",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Crypto.Random.get_random_bytes",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "Crypto.Util.Counter.new",
"line_number": 31,
"usage_type": "call"
},
{
"api_name"... |
43337960885 | #! /usr/bin/env python3
from __future__ import division
import os, sys
import tqdm
import torch
import torch.optim as optim
from terminaltables import AsciiTable
from torchsummary import summary
from src.Model.load_model import load_model
from src.utils.gUtils import Logger
from src.utils.torchUtils import to_cpu, s... | kurosh-z/project_detection | src/trainME.py | trainME.py | py | 7,537 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "src.utils.torchUtils.set_seed",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "src.utils.gUtils.Logger",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.... |
3408881328 | import pygame
from variables import *
def plot_results(herbivores_counts, predators_counts, plants_counts):
import matplotlib.pyplot as plt
time_steps = list(range(len(herbivores_counts)))
plt.plot(time_steps, herbivores_counts, label="Herbivores", color="blue")
plt.plot(time_steps, predators_counts,... | MartinovG/VSE_9klas_ecosystem_simulator | src/Graphs.py | Graphs.py | py | 1,435 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplot... |
22844594101 | import matplotlib.pyplot as plt
from utils import roundup
import random
import math
from config import config as cfg
import os
dest = os.path.dirname(__file__)
def rr_plot(list_of_processes, timestamp):
# every file will be saved to given dir
target = dest + "/" + timestamp
os.makedirs(target, exist_ok... | adinsoon/scheduling_algorithms | matplotlib_processes.py | matplotlib_processes.py | py | 6,414 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
1530594299 | import os
import datetime
from flask import url_for
from flask import Blueprint, render_template
from flask import Flask
from flask_cors import CORS
from flask_restplus import Resource, Api, fields
PATH_TO_TEMPLATES = "./tpl/"
app = Flask(__name__)
# Default web page Blueprint START ################################... | divlv/sampleweb | www/index.py | index.py | py | 2,662 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",... |
20008882178 | import numpy as np
import pandas as pd
from scipy import interpolate as intp
from scipy import optimize
import matplotlib.pyplot as plt
import gsw
from tqdm import tqdm
import multiprocessing
from joblib import Parallel,delayed
def find_sigma0_z(salinity, temperature, pressure, latitude, longitude, sigmas):
"""
... | ashao/glodap_analysis | calc_sigma_depths.py | calc_sigma_depths.py | py | 4,937 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.square",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "gsw.sigma0",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
"line_number":... |
73515735721 |
import numpy as np
from sympy import Matrix
import random
from modules.alphabet import getAlphabet
def getModularMatrix(matrix):
'''
------------
DESCRIPCIÓN:
Función que se encarga de encontrar la matriz modular inversa.
:param matrix: (numpy matrix)
Representa la llave que se utiliza... | ngutierrezp/Sisteco1-2020 | Lab3/modules/utilities.py | utilities.py | py | 1,977 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "modules.alphabet.getAlphabet",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sympy.Matrix",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
3156163901 | #!/usr/bin/env python3
import os
import sys
import psutil
import subprocess
import time
from pathlib import Path
import typer
from unoserver import converter
# from pdf2pdfa import pdf2pdfa
def start_uno_server():
if uno_server_running():
return
subprocess.Popen(
Path(Path.home(), ".local/b... | Preservation-Workbench/PWConvert | bin/unoconv2x.py | unoconv2x.py | py | 1,779 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "subprocess.Popen",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.home",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "subprocess.DEVNULL",
... |
72412963880 | import dateutil
import functools
import json
import random
import requests
import urllib
import common.constants as const
from common.anilist import add_anotd_bl, anilist_search, anilist_rand_series, rm_anotd_bl
from common.arg_parsers import mal_arg_parser
from common.mal import mal_url_info
from common.utils import... | Hippopotas/hippobotas | commands.py | commands.py | py | 29,250 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "user.User.compare_ranks",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "user.User",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "user.User.compare_ranks",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "user.User",... |
554901543 | from pathlib import Path
import openpyxl as xl
import datelist
import os
import master
step = "one"
status = ""
# making the dir if path not exist
path = Path("c:/it/PayrollAuto/")
if path.exists():
# making temp directory if not exist
if not Path(master.temppath).exists():
os.mkdir(master.temppath)
... | ddhairya/dataautomation | stepone.py | stepone.py | py | 2,627 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "master.temppath",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_n... |
12356719882 | """ORM-like approach to neo4j nodes
"""
import json
from abc import ABC, abstractmethod
from typing import Literal
class _Neo4jObject(ABC):
@property
@abstractmethod
def label(self) -> str:
raise NotImplementedError('This method must be implemented')
@classmethod
@abstractmethod
def ... | adamcohenhillel/deepAI | backend/db/neo4j/entities.py | entities.py | py | 3,019 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "abc.ABC",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Literal",
"li... |
1954059388 | import cv2
import matplotlib.pyplot as plt
img = cv2.imread('A.jpeg')
cv2.imshow('Original',img)
cv2.waitKey()
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
cv2.imshow('GrayScale',gray)
cv2.imwrite('gray.jpeg',gray)
cv2.waitKey()
hist = cv2.calcHist([gray],[0],None,[256],[0,256])
plt.xlabel('Pixel Value')
plt.ylabel(... | anantpednekar/ImageProcessing | HistogramEqualisation/histogram.py | histogram.py | py | 679 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
... |
22398807299 | #!/usr/bin/env python3
import subprocess, time, re, socket, argparse, os, asyncio, sys
import urllib
import socket
import geoip2.database
from IPy import IP
from prometheus_client import Counter, start_http_server, Gauge
metric_labels = ['src_pod', 'src_user', 'src_org', 'dst_ip', 'dst_proto', 'dst_country', 'dst_cont... | shota-matsumoto-lm/network_output_exporter | network-output-exporter.py | network-output-exporter.py | py | 4,028 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "geoip2.database.database.Reader",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "geoip2.database.database",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "geoip2.database",
"line_number": 11,
"usage_type": "name"
},
{
"api... |
34062493804 | import unittest
from unittest.mock import patch
import cli
import click
from click.testing import CliRunner
order_data = {
"data_format": "csv",
"products": [
{
"product_category": "drink",
"type": "coke_zero"
},
{
"product_category": "pizza",
... | JonathanJTang/Pizza-Ordering | tests/cli_tests.py | cli_tests.py | py | 3,648 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "cli.convert_to_csv",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "clic... |
1110935474 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 15 14:55:14 2021
@author: sahyadri
"""
import json
import numpy as np
import re
import argparse
import glob
import os
from datetime import date
def find_star(data):
"""
Function to find the position of a given star (Alpheratz; could be an... | sidgan/nasaweb | backend/constellations/const_update.py | const_update.py | py | 5,382 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "numpy.where",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_n... |
9061725336 | # A subscribers example
import rx
from rx.subjects import Subject
from datetime import datetime
# You can choose which of these to use
# source = rx.from_([2, 3, 5, 7])
# source = rx.from_iterable([2, 3, 5, 7])
source = rx.from_list([2, 3, 5, 7])
class TimeStampSubject(Subject):
""" Class implementing a Subject... | johnehunt/advancedpython3 | chapter34/reactive2.py | reactive2.py | py | 1,247 | python | en | code | 47 | github-code | 18 | [
{
"api_name": "rx.from_list",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rx.subjects.Subject",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datet... |
73487536360 | """bussiness_admin URL Configuration."""
# Django
from django.contrib import admin
from django.urls import include, path
urlpatterns = [
path('admin/', admin.site.urls),
path('', include(('app.users.urls', 'users'), namespace='users')),
path('', include(('app.companies.urls', 'companies'), namespace='com... | Julian-Bio0404/Business_Admin | conf/urls.py | urls.py | py | 333 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "dja... |
14950154171 | from collections import defaultdict
from typing import Dict, Any, List, Union
import re
from io import BytesIO
import serial
import bdDetect
import braille
import inputCore
from logHandler import log
import hwIo
from baseObject import ScriptableObject
import wx
import threading
from globalCommands import SCRCAT_BRAILL... | nvaccess/nvda | source/brailleDisplayDrivers/eurobraille/driver.py | driver.py | py | 13,593 | python | en | code | 1,802 | github-code | 18 | [
{
"api_name": "braille.BrailleDisplayDriver",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "baseObject.ScriptableObject",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "hwIo.IoBase",
"line_number": 29,
"usage_type": "attribute"
},
{
"ap... |
21843588439 | # To do:
# 1)Make sure start and end matches.
# -Take last element in list and compare to click destination
# -if (x orgin - x dest) < 5 and (y orgin - y dest) < 5
# -if not remove
import pygame
import random
import keyboard
import os
import win32gui
import win32api
import time
impo... | pokkagrinti/Aim_Game | aimmap.py | aimmap.py | py | 6,534 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "pygame.mouse.get... |
27869462900 | '''
@program: Otsu_Thresholding.py
@description: Otsu最佳全局阈值处理
@author: doubleZ
@create: 2019/12/14
'''
import cv2
def Otsu_Thresholding(image):
'''
:description: Otsu最佳全局阈值
:param image: 原图
:return gray: 原图的灰度图像
:return thresh: 简单阈值处理后的图像
:return th1: 对灰度图像进行Otsu最佳全局阈值处理后对图像
:return b... | doubleZ0108/Digital-Image-Processing | Fingerprint Image Extraction/src/Otsu_Thresholding.py | Otsu_Thresholding.py | py | 1,572 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "cv2.cvtColor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGRA2GRAY",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "cv2.threshold",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.THRESH_BINARY... |
3458985191 | # -*- encoding: utf-8 -*-
"""
-------------------------------------------------
File Name： vocabulary.py
Description :
Author : Wings DH
Time： 2020/1/4 2:47 下午
-------------------------------------------------
Change Activity:
2020/1/3: Create
-------------------------... | Wingsdh/transformer-xl-refactoring | data_processing/vocabulary.py | vocabulary.py | py | 10,824 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "abc.ABC",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
... |
5350856985 | import requests
import pandas as pd
API_URL = "https://data.binance.com/api/v3/ticker/24hr"
response = requests.get(API_URL)
if response.status_code == 200:
data = response.json()
else:
print("Failed to retrieve the data from the API")
exit()
df = pd.DataFrame(data)
csv_filename ="api_data.csv"
df.to_... | RajatBagadi17/COB | TASK1.PY | TASK1.PY | py | 430 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
}
] |
2022180951 | import cv2
import glob
import os
inputFolder='/content/drive/My Drive/Dataset/test_set/right'
folderLen=len(inputFolder)
os.mkdir('right_test')
for img in glob.glob(inputFolder+"/*jpg"):
image = cv2.imread(img)
imgResized=cv2.resize(image,(256,256))
cv2.imwrite("right_test"+img[folderLen:],imgResized)
| nandhukrishnan/Guidance-System-for-Autonomous-Vehicles | Google Colab/Sample Model/image-resize.py | image-resize.py | py | 307 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.mkdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 10,
"u... |
13909662165 | # !/usr/bin/python3
# coding:utf-8
import json
import requests
from bs4 import BeautifulSoup
from datetime import datetime
import time
from datetime import timedelta
from collections import Counter
import sqlite3
from time import sleep
import json
import random
conn = sqlite3.connect('sqlite.db')
c = conn.cursor()
a... | lloyd3126/behavior_analysis | xapi_crawler_sqlite.py | xapi_crawler_sqlite.py | py | 6,721 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_... |
22632627479 | from bs4 import BeautifulSoup
import requests
import pandas as pd
from random import randint
import re
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
from random import randint
from time import sleep
from sklearn import datasets
# K-means
import numpy as np
import matplotlib.pyplot as plt
from sklea... | Javianalista/music_project | asking.py | asking.py | py | 7,577 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.findall",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_numbe... |
14330257210 | import open3d as op3d, numpy as np, logging
from scipy.io import loadmat
from scipy.spatial import KDTree
from typing import Union, Tuple, List
from pathlib import Path
from frontalization.mesh import Mesh
from utils_mesh import MeshOperator, create_sphere_mesh
path_bfm_model = Path('../BFM/01_MorphableModel.mat')
p... | Mikhail-Klochkov/Deep3dFaceRecognitionMod | frontalization/basel_face_model_2009.py | basel_face_model_2009.py | py | 13,896 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_numbe... |
11706630100 | import re
from collections import OrderedDict
from rest_framework import serializers
from rest_framework.relations import Hyperlink, PKOnlyObject
from drf_img_crop.serializers import ImageCreateSerializer
from core.models import Profile
from core.api.serializers import ProfileDetailSerializer, ProfileListSerializer
... | esaburruss/djangular-blog | backend/src/content/api/serializers.py | serializers.py | py | 6,778 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "validators.TitleValidator",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "drf_hateoas.serializers.HateoasSerializer",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "drf_hateoas.serializers.HateoasSerializer",
"line_number": 67,
"usage... |
71491361320 | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '1'
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Dense, LSTM
from keras.optimizers import SGD
from keras.utils import to_categorical
from keras.callbacks import EarlyStopping
from kera... | BayleeDevers/Introduction-to-Artificial-Intelligence | lstm_clf_model.py | lstm_clf_model.py | py | 3,381 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "preprocessing.full_pipeline.fit_transform",
"line_number": 21,
"usage_type": "call"
},
{
"api_name... |
22885853150 | import re
import nltk
from nltk import word_tokenize, TreebankWordDetokenizer
from nltk.corpus import stopwords
#nltk.download()
def extract_line_contains(data: str) -> str:
return ""
def remove_unwanted_characters(text: str) -> str:
cleanTxt = text.replace("_", "")
cleanTxt = cleanTxt.replace("-", "")
... | ahmedrafed99/paymentReceiptReader | text_processor.py | text_processor.py | py | 1,290 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "re.findall",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "nltk.Tre... |
35142797881 | import os
import utils
import re
scans = utils.read_file(os.getcwd() + "\\input.txt")
def parse_input(scans):
map = {}
for y, line in enumerate(scans[:-2]):
for x, char in enumerate(line):
if char != " ":
map[x, y] = char
instructions = []
current_num = ""
for... | Biboulet/AdventOfCode | 2022/Exercice/22/exerice.py | exerice.py | py | 2,402 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "utils.read_file",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 5,
"usage_type": "call"
}
] |
74657071081 | from santaspkg.cost_function import reference_cost_function
from santaspkg.dataset import sample_submission
from pathlib import Path
submission_template = sample_submission.copy(deep=True)
submissions_dir = Path(__file__).parent.parent / 'submissions'
submissions_dir.mkdir(exist_ok=True)
def mk_submit(assignment... | JEHoctor/Kaggle-Santas-Workshop-Tour-2019 | santaspkg/mk_submit.py | mk_submit.py | py | 529 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "santaspkg.dataset.sample_submission.copy",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "santaspkg.dataset.sample_submission",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
... |
71426920360 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/... | aorursy/new-nb-3 | greenarrow2018_santander-value-prediction-challenge.py | greenarrow2018_santander-value-prediction-challenge.py | py | 10,119 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.walk",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number"... |
15233752890 | '''
tree sum
Write a function, tree_sum, that takes in the root of a binary tree that contains number values. The function should return the total sum of all values in the tree.
test_00:
a = Node(3)
b = Node(11)
c = Node(4)
d = Node(4)
e = Node(-2)
f = Node(1)
a.left = b
a.right = c
b.left = d
b.right = e
c.right = ... | VictorHeDev/structy | module4/tree_sum.py | tree_sum.py | py | 1,309 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 81,
"usage_type": "call"
}
] |
4000033034 | import re
import gast
from tensorflow.python.autograph.pyct import anno
from tensorflow.python.autograph.pyct import origin_info
from tensorflow.python.autograph.pyct import parser
from tensorflow.python.autograph.pyct import transformer
from tensorflow.python.platform import test
class TransformerTest(test.TestCase... | tensorflow/tensorflow | tensorflow/python/autograph/pyct/transformer_test.py | transformer_test.py | py | 10,582 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python.platform.test.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.platform.test",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "tensorflow.python.autograph.pyct.transformer.EntityInfo",
"line... |
21560982496 | '''Train CIFAR10 with PyTorch.'''
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import torchvision
import torchvision.transforms as transforms
import os
import argparse
from models import *
from utils import progress_bar
parser... | nisargshah1999/Adversarial-attacks | adversarial_training.py | adversarial_training.py | py | 7,861 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "torch... |
4404011857 | import requests
import json
# id = input("Enter student id: ")
# URL = "http://127.0.0.1:8000/stuinfo/"+id
# r = requests.get(url = URL)
# print(r.json())
URL = "http://127.0.0.1:8000/stucreate/"
data = {
'name': 'kfjlsadkjf',
'roll': 1983,
'city': 'jamalpur'
}
json_data = json.dumps(data)
r = requests.post(url =... | mdimranh/django_rest_framework | myapp.py | myapp.py | py | 372 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.dumps",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 17,
"usage_type": "call"
}
] |
13669996616 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
lines_bars_and_markers/using_span_where.py
Matplotlib > Gallery > Lines, bars and markers > Using span_where
https://matplotlib.org/gallery/lines_bars_and_markers/span_regions.html#using-span-where
"""
import numpy as np
import matplotlib.pyplot as plt
import matplot... | aimldl/python | matplotlib/gallery/lines_bars_and_markers/using_span_where.py | using_span_where.py | py | 1,065 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.arange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
... |
20077399077 | import pytest
from sqlite_utils.utils import column_affinity
EXAMPLES = [
# Examples from https://www.sqlite.org/datatype3.html#affinity_name_examples
("INT", int),
("INTEGER", int),
("TINYINT", int),
("SMALLINT", int),
("MEDIUMINT", int),
("BIGINT", int),
("UNSIGNED BIG INT", int),
... | simonw/sqlite-utils | tests/test_column_affinity.py | test_column_affinity.py | py | 1,285 | python | en | code | 1,356 | github-code | 18 | [
{
"api_name": "sqlite_utils.utils.column_affinity",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_n... |
72116392039 |
from reportlab.lib.units import inch, cm, pica
class Length:
def __init__(self, size, unit):
self.size = size
if unit in ['inch', 'in']:
self.unit = 'in'
self._scale = inch
elif unit in ['cm', 'mm']:
self.unit = 'cm'
self._scale = cm
... | margotphoenix/curly-brackets | curlybrackets/pdf/pages.py | pages.py | py | 1,339 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "reportlab.lib.units.inch",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "reportlab.lib.units.cm",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "reportlab.lib.units.pica",
"line_number": 19,
"usage_type": "name"
}
] |
37082470796 | import logging
import sys
class StreamToLogger(object):
"""
Fake file-like stream object that redirects writes to a logger instance.
"""
def __init__(self, logger, default_output, log_level=logging.INFO, only_on_error=True):
self.logger = logger
self.log_level = log_level
self... | fx-kirin/py-stdlogging | stdlogging.py | stdlogging.py | py | 1,322 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "logging.ERROR",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "logging.getLog... |
20255382925 | from torch import nn
import torch
class Encoder(nn.Module):
def __init__(self, num_channel=3, num_feature=64, latent_dim=100, data_parallel=True):
super(Encoder, self).__init__()
features = nn.Sequential(
# input is (num_channel) x 64 x 64
nn.Conv2d(num_channel, num_feature... | FengHZ/VAEGAN | model/encoder.py | encoder.py | py | 2,417 | python | en | code | 2 | github-code | 18 | [
{
"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.Sequential",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
27264629851 | import sys
import requests
import json
from django.core.mail import EmailMultiAlternatives
from django.template import RequestContext, TemplateDoesNotExist
from django.template.loader import render_to_string
from django.conf import settings
def send_mail(subject, email_template_name,
context, to_email,... | ashaffir/dnd_sos | dndsos/templates/dndsos/utils.py | utils.py | py | 2,390 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.template.RequestContext",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.conf.settings",
"line_number": 36,
"usage_type": "argument"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 38,
"usage_type": "call"... |
1417396317 | from typing import Iterable
import pygame
import math
from objects import Ball
from player import Player
SCREEN_X = 1920
SCREEN_Y = 1080
WALL_HEIGHT = 25000
TILE_SIZE = 60
QUALITY1 = TILE_SIZE / 16
QUALITY2 = TILE_SIZE / 256
FOV_MULTIP = 1
REACH = TILE_SIZE / 1
"""
class Player:
rect: pygame.Rect
def d... | en0/TsHomework | T's-raycaster/main.py | main.py | py | 12,080 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Iterable",
"line_number": 82,
"usage_type": "name"
},
{
"api_name": "math.floor",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "pygame.Surface",
"line_numb... |
17781831087 | import cv2
import omegaconf
import numpy as np
import tensorflow as tf
import tensorflow.keras as tfk
from imgaug import augmenters as iaa
from tensorflow.keras.utils import Sequence
from typing import List
class DataGenerator(Sequence):
def __init__(self, paths: List,
labels: List, steps: int):... | azin536/driver-drowsiness | src/data_pipeline.py | data_pipeline.py | py | 2,359 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.keras.utils.Sequence",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.asarray... |
13524376160 | from flask import current_app as app
class Current_Balance:
def __init__(self, balance):
self.balance = balance
class Balance:
def __init__(self, trans_id, trans_date, trans_ts, user_id, trans, trans_description, balance):
self.trans_id = trans_id
self.trans_date = trans_date
... | linzhao0351/Mini-Amazon | app/models/balance.py | balance.py | py | 2,243 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.current_app.db.execute",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.current_app.db",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "flask.current_app",
"line_number": 20,
"usage_type": "name"
},
{
"api_name... |
21721206972 | import torch
import torch.nn as nn
from torch.distributions.categorical import Categorical
import numpy as np
class GFN(nn.Module):
def __init__(self, m, learn_Z=False, architecture=None, h=None):
"""
:param architecture: nn.Module with input layer of size m and output layer of size m+1
:p... | GFNOrg/Dropout-Posterior-GFN | gfn.py | gfn.py | py | 6,421 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
39728413901 | """ WORKER MODULE
- This module contains our inbuilt Workers and the base Worker.
All Workers inherit the Worker base class.
Users wanting to create their own custom Worker, should inherit from Worker.
For detailed information on Workers, please see our Readme on our Github.
https://github.com/R... | RTMAAI/CO600-Musical-Analysis | rtmaii/worker.py | worker.py | py | 10,847 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "thr... |
72782989481 | import pygame
import pymunk as physics
class WaterParticle(object):
def __init__(self, world, x, y, vx, vy):
self.radius = 4
self.max_force = 8
self.force = self.max_force
speed = 2000
self.world = world
self._mark_for_dea... | fathat/bregma | source/water_particle.py | water_particle.py | py | 2,691 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymunk.moment_for_circle",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pymunk.Body",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pymunk.Circle",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pygame.draw.circle... |
35226973355 | from random import randint
import sqlite3
class BankingDatabase:
db_file = '../card.s3db'
sql_create_card_table = """CREATE TABLE IF NOT EXISTS card (
id INTEGER PRIMARY KEY AUTOINCREMENT
, number TEXT NOT NULL
, pin TEXT
... | data-anna/simple_banking_system | banking/banking.py | banking.py | py | 8,151 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.Error",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.Integri... |
26517119195 | import operator
import time
from typing import Dict, List, Optional
from acme import core
from acme.tf import losses
from acme.tf import networks
from acme.tf import savers as tf2_savers
from acme.tf import utils as tf2_utils
from acme.utils import counting
from acme.utils import loggers
import numpy as np
import reve... | deepmind/acme | acme/agents/tf/crr/recurrent_learning.py | recurrent_learning.py | py | 17,344 | python | en | code | 3,100 | github-code | 18 | [
{
"api_name": "acme.core.Learner",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "acme.core",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sonnet.RNNCore",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "acme.tf.networks... |
12605466869 | from aiogram import Bot,Dispatcher,executor,types
from config import API_TOKEN
import logging
from buttons import natija,natijaa
logging.basicConfig(level=logging.INFO)
bot=Bot(token=API_TOKEN)
dp=Dispatcher(bot)
@dp.message_handler(commands=['start'])
async def start(message: types.Message):
ism = message.from... | fayzulloh11/fayzulloh | main.py | main.py | py | 1,044 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "aiogram.Bot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "config.API_TOKEN",
... |
17689295011 | from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http.request import Request
from test_scrapy.items import TestScrapyItem
class WoblogSpider(BaseSpider):
name = "woblog"
allowed_domains = ["tetsuwo.tumblr.com"]
start_urls = ["http://tetsuwo.tumblr.com"]
de... | tetsuwo/test-scrapy | test_scrapy/spiders/WoblogSpider.py | WoblogSpider.py | py | 1,050 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scrapy.spider.BaseSpider",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "scrapy.selector.HtmlXPathSelector",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scrapy.http.request.Request",
"line_number": 16,
"usage_type": "call"
},
{
... |
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