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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
41154579351 | from django.contrib import admin
from django.urls import path
from . import views
urlpatterns = [
path("", views.getHomepage),
path("news", views.getNewspage),
path("introduceFood", views.getIntroduceFoodpage),
path("menu", views.getMenupage),
path("store", views.getStorepage),
path("cart", vie... | huyheo2002/CleanFood | app/urls.py | urls.py | py | 429 | python | en | code | 0 | github-code | 18 | [
{
"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",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
21035916112 | from io import BytesIO
import numpy as np
import soundfile as sf
import speech_recognition as sr
import whisper
class SpeechRecognizer:
def __init__(self, model_name="base"):
self.model = whisper.load_model(model_name)
self.recognizer = sr.Recognizer()
def recognize(self):
with sr.Micr... | Ar-Ray-code/ChatIO_trial | speech_recognizer.py | speech_recognizer.py | py | 933 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "whisper.load_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 13,
"usage_type": "call"
},
{
"api... |
582312646 | # !/usr/bin/python
# -*-coding:utf-8 -*-
from tqdm import tqdm
from webdriver_manager import chrome
from webdriver_manager.chrome import ChromeDriverManager
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import Select
from bs4 import BeautifulSoup... | UT0903/NTU-Course-Widget-Demo | backend/utils/not_use_for_craw/nol.py | nol.py | py | 2,963 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "webdriver_manager.chrome.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "webdriver_manager.chrome",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name"... |
27925153967 | import subprocess
import json
from utils.util import read_config, get_logger
import numpy as np
import argparse
def args_parser():
parser = argparse.ArgumentParser()
parser.add_argument(
'--filename',
default=[], help='configuration filename',
action="append")
parser.add_argument(... | EricssonResearch/fl-moe | iterator_lr.py | iterator_lr.py | py | 2,084 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.util.get_logger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "utils.util.read_config",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "n... |
71426561960 | import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import os
print(os.listdir("../input"))
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
# check if CUDA is available
train_on_gpu = torch.cuda.is_available()
if n... | aorursy/new-nb-3 | fabiendaniel_cnn-on-1jhn-2d-images.py | fabiendaniel_cnn-on-1jhn-2d-images.py | py | 9,154 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",... |
36762567854 | from http import server
from torch.utils import data
from torchvision import transforms as T
from torchvision.datasets import ImageFolder
from PIL import Image
import torch
import os
import random
import numpy as np
import cv2
import math
import torchvision.transforms as transforms
# for test
IMG_EXTENSIONS = [
'... | TABLAB-HKUST/MulHiST | data_loader.py | data_loader.py | py | 6,004 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.path.isdir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": ... |
74211854441 | from django.contrib.auth.models import User
from django.shortcuts import render,redirect
from django.contrib import messages
from django.contrib.auth import authenticate,login,logout
from .models import *
from .forms import CustomerForm,CreateUserForm
from .filters import CustomerFilter
def homepage(request):
cusDa... | ciagit/ciagit | CRUD/crudEnv/src/CRUD/dashboard/views.py | views.py | py | 2,656 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "filters.CustomerFilter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name":... |
41148193213 | import configparser
from telethon import TelegramClient
config = configparser.ConfigParser()
config.read('config.ini')
api_id = int(config['TELEGRAM']['api_id'])
api_hash = config['TELEGRAM']['api_hash']
client = TelegramClient('account_telethon', api_id, api_hash)
list_to_del = []
async def dry_run():
print(f'... | sonyxmee/tg-client | deleteChats.py | deleteChats.py | py | 1,250 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "telethon.TelegramClient",
"line_number": 8,
"usage_type": "call"
}
] |
73573588519 | from nltk.stem import WordNetLemmatizer
from nltk.stem.porter import PorterStemmer
import nltk
from nltk.corpus import wordnet
import os
def get_wordnet_pos(treebank_tag):
if treebank_tag.startswith('J'):
return wordnet.ADJ
elif treebank_tag.startswith('V'):
return wordnet.VERB
... | zhaoxh16-ir-homework/homework-2 | code/main.py | main.py | py | 3,213 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "nltk.corpus.wordnet.ADJ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "nltk.corpus.wordnet",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.wordnet.VERB",
"line_number": 12,
"usage_type": "attribute"
},
{
"ap... |
20024675078 | from http.server import HTTPServer, SimpleHTTPRequestHandler, BaseHTTPRequestHandler
import ssl
from io import BytesIO
class MyHttpRequestHandler(BaseHTTPRequestHandler):
def do_GET(self):
if self.path == "/":
self.send_response(200)
self.send_header("Content-type", "text/html")
... | mateuszkochanek/computer-security-course | lista4/phishing/server.py | server.py | py | 1,711 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "http.server.HTTPServer",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "ssl.SSLContext",
"line_number": 32,
"usage_type": "call"
}
] |
19531910121 | import os
import warnings
import numpy as np
import cv2
import matplotlib.pyplot as plt
import itertools
from sklearn.metrics import confusion_matrix
from src.metrics import get_metrics
import pickle
import json
from sklearn.metrics import classification_report
from collections import defaultdict, Counter
import pandas... | tungnkhust/Image-Classification-With-Bag-of-Visual-Model | src/utils.py | utils.py | py | 9,442 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "cv2.SIFT_create",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.ORB_create",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.KMeans",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster... |
43925400397 | from datetime import datetime
from sqlalchemy.orm import backref
from models.db import db
class Order(db.Model):
__tablename__ = 'orders'
id = db.Column(db.Integer, primary_key=True)
user_id = db.Column(db.Integer, db.ForeignKey('users.id'), nullable=False)
created_at = db.Column(
db.DateTime,... | MistermindX/BetterBuy | models/order.py | order.py | py | 1,364 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.db.db.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "models.db.db",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.db.db.Column",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.db.db",
... |
24728333678 | from utils import read_file
from collections import defaultdict
from itertools import product
import re
def parse_line(line):
regex = (
r"Valve ([A-Z]{2}) has flow rate=(\d+); tunnel[s]? lead[s]? to valve[s]? (.+)"
)
loc, rate, others = re.findall(regex, line)[0]
return loc, int(rate), others.... | neal-o-r/aoc22 | aoc16.py | aoc16.py | py | 2,165 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.findall",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "utils.read_file"... |
16308924199 | #!/usr/bin/env python
from __future__ import print_function
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
import io
import os
here = os.path.abspath(os.path.dirname(__file__))
def read_version(version_filepath):
import re
verstrline = open(version_filepa... | vergl4s/instarecon | setup.py | setup.py | py | 1,647 | python | en | code | 188 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_numbe... |
109754967 | from collections import deque
cardeck = deque()
n = int(input())
for i in range(1,n+1):
cardeck.append(i)
while True:
if len(cardeck) == 1:
break
cardeck.popleft()
k = cardeck.popleft()
cardeck.append(k)
print(cardeck[0])
| ta09472/algo | boj_2164.py | boj_2164.py | py | 252 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 2,
"usage_type": "call"
}
] |
12478832266 | import pandas as pd
import numpy as np
import random
from sklearn import svm
from PIL import Image
# download present points of species
present = pd.read_csv('data/present_points.csv')
present = pd.DataFrame(present)
present_array = np.array([present['latitude'],present['longitude']])
y_array = np.array(... | KhondamirRustamov/SDM-DL-ML-Tulipa-uz | preprocessing/pa_generating.py | pa_generating.py | py | 5,061 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_n... |
10196652402 | #!/usr/bin/env python
import time
import serial
import random
import binascii
import pickle
tty="/dev/ttyAMA0"
baud=57600
config = []
config.append("sys reset")
#change these to values given
config.append("mac set devaddr 260114C8")
config.append("mac set deveui 006117063BA98093")
config.append("mac set appeui 70B3... | suitedlibrarian/piface | sample.py | sample.py | py | 1,224 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "binascii.hexlify",
"line_numb... |
17437782874 | import argparse
import glob
import os
import cv2
import h5py
import numpy as np
import tqdm
import math
from functools import partial
import matplotlib.pyplot as plt
def readyuv420(filename, bitdepth, W, H, startframe,
totalframe, show=False):
# 从第startframe（含）开始读（0-based），共读totalframe帧
uv_H... | Chengyi-Zou/intra-chroma-attentionCNN-refinement | data/create_database_down.py | create_database_down.py | py | 10,502 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_numb... |
11880027671 | import csv
from io import StringIO
from typing import Dict, Iterator, List, Tuple, Union
DEFAULT_HASH_MAP_SIZE: int = 64
class HashMap:
_size: int = None
_map: List[List[Tuple[str, str]]] = None
_length: int = None
@property
def size(self) -> int:
return self._size
def __init__(se... | Bylothink/hashmaps-webserver | src/hashmaps/models/hashmap.py | hashmap.py | py | 4,589 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "typing.Iterator",
"line_num... |
73594832041 | import array
import itertools
import numpy as np
import math
import threading
from ola.ClientWrapper import ClientWrapper
# globals for timing, script state storage
TICK_INTERVAL = 33 # in ms - so display at approximately 30 fps
TIME_ELAPSED = 0.0 # time in ms since we last displaed begclr
# when... | aleden/squidlights | changers/Color Cycle 1.py | Color Cycle 1.py | py | 2,205 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "array.array",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "itertools.izip",
"line_number... |
74777071718 | # -*- coding: utf-8 -*-
"""
Created on Thu Dec 6 02:42:08 2018
@author: AYSE
"""
#1.Kutuphaneler
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.metrics import r2_score
# Veri yukleme
veriler= pd.read_csv("maaslar.csv")
#eğitimseviyes=x, maaslar=y olarak bölü... | kubraaysesosun/machine-learning | 6/rassalagac.py | rassalagac.py | py | 3,857 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.PolynomialFeatures",
"line_number": 38,
"usage_type": "call"
... |
8713787291 | # coding: utf-8
"""
Perform inference with a CD UNet/UNet++ model for for Sentinel-2 datasets
@Author: Tony Di Pilato
Created on Wed Feb 19, 2020
"""
import os
import numpy as np
from tensorflow import keras as K
import cdUtils
import cdModels
from osgeo import gdal
import argparse
parser = argparse.ArgumentParse... | tonydp03/RemoteSensing_ChangeDetection | src/inference.py | inference.py | py | 3,598 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models",
"line_number": 49,
"usage_type": "attribute"
},
... |
3224476541 | # coding: utf-8
import os.path
from github import Github
from DataModule import *
from SmartThreshold import *
logging.basicConfig()
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO) # Log等级总开关
rq = time.strftime('%Y%m%d%H%M', time.localtime(time.time()))
log_path = os.path.dirname(os.path.realpath... | tain198127/GithubHawkEye | main.py | main.py | py | 6,311 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "os.path.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.path.realpath"... |
31967807115 | from typing import List
import math
from config import ModelParameters
class Utilities:
"""This class contains utility functions that are used in the project."""
@staticmethod
def get_output_sizes(
res: int = ModelParameters.RESOLUTION,
conv_kernel_size: int = ModelParameters.CONV_KERNEL... | Wyndegarde/Masters-Project | utils/utils.py | utils.py | py | 3,858 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "config.ModelParameters.RESOLUTION",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "config.ModelParameters",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "config.ModelParameters.CONV_KERNEL_SIZE",
"line_number": 13,
"usage_type": ... |
73198669479 | import torch
import argparse
from torch.utils.data import DataLoader
from data_utils import ChoiceDataset
from models import TasteNetChoice
from train import train
from evaluation import summarize, printSummary, predictTastes, RMSE, ABSE, RE, RMSE_vector, ABSE_vector, RE_vector
from simulate import error_of_vot, error_... | deborahmit/TasteNet-MNL | synthetic/model_runs.py | model_runs.py | py | 6,590 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "models.TasteNetChoice",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "train.train",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "evaluation.summarize",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "evaluation.pri... |
102860571 | from django.urls import include, path
from rest_framework.routers import SimpleRouter
from .views import AuthViewset, UsersViewset
app_name = 'api'
router_v1 = SimpleRouter()
router_v1.register('auth', AuthViewset, 'auth')
router_v1.register('users', UsersViewset, 'users')
urlpatterns = [
path('', include(route... | rosh-penin/hs-test-work | testapp/api/urls.py | urls.py | py | 334 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.routers.SimpleRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.AuthViewset",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "views.UsersViewset",
"line_number": 10,
"usage_type": "argument"
},
{
"ap... |
717248590 | import Preprocessing
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import accuracy_score
#Train model with KNN
X_train,X_test,y_train,y_test = Preprocessing.X_train,Preprocessing.X_test,Preprocessing.y_train,Preprocessing.y_test
#Find k in range value
def Knn(x,y,left,right):
kn... | LTPhat/StrokePrediction | KNN.py | KNN.py | py | 989 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "Preprocessing.X_train",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "Preprocessing.X_test",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "Preprocessing.y_train",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_... |
32922151769 | #!/usr/bin/env python3
# REQUIRES PYTHON >= 3.8
"""
This is a partial solution for the doors with the tiles, located near where
the bodies in barrels were found. This door leads to the tunnels below the
manor house.
The game is a rotational tile game. Tiles are grouped into sets of 4 around a
central button. When th... | kamni/puzzle-solvers | enigmatis2/tunnel_doors.py | tunnel_doors.py | py | 10,314 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.TypedDict",
"line_number": 88,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 93,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 94,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_numb... |
9364710726 | """This module will serve the api request."""
from config import client, ObjectId
from app import app
from bson.json_util import dumps
from flask import request, jsonify, send_file, make_response
import json
import ast
import imp
import time
import codecs
# Import the helpers module
helper_module = imp.load_source('... | cristid95/incident_reporting | app/usersData.py | usersData.py | py | 7,278 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "imp.load_source",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "config.client.incidents",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "config.client",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask.json... |
17096623449 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from scipy.stats import truncnorm
def get_truncated_noise(n_samples, z_dim, truncation):
"""Function for creating truncated noise vectors: Given dimensions (n_samples, z_dim)
and truncation value, cretes a tensor of t... | JuanPabloArbelaez/StyleGanComponents | stylegan.py | stylegan.py | py | 7,850 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scipy.stats.truncnorm.rvs",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.stats.truncnorm",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn... |
35004561463 | import requests
from bs4 import BeautifulSoup
import json
import re
import collections
HOST = "https://www.cfcunderwriting.com"
def get_privacy_policy_location(all_urls):
for _, url in enumerate(all_urls):
if "privacy-policy" in url:
return url
def get_external_resources(all_urls):
extern... | marwiz108/cfc-scraper | scraper.py | scraper.py | py | 1,948 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "json.dump",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": ... |
3849869092 | from maya import cmds
from ngSkinTools import selectionState
from ngSkinTools.doclink import SkinToolsDocs
from ngSkinTools.influenceMapping import InfluenceMapping
from ngSkinTools.log import getLogger
from ngSkinTools.mllInterface import MllInterface
from ngSkinTools.ui.basetab import CommandLayout
from ngSkinTools.u... | DangoWang/OCTToolkits | DCC_TOOLS/RIG/ngskintools/ui/editMirrorInfluencesWindow.py | editMirrorInfluencesWindow.py | py | 3,969 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "ngSkinTools.log.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ngSkinTools.ui.basetoolwindow.BaseToolWindow",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "ngSkinTools.ui.basetoolwindow.BaseToolWindow.__init__",
"line_number":... |
73890036841 | """inventario URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-ba... | SamirDiegoChavezCaceres/BD_TIENDA | inventario/urls.py | urls.py | py | 6,290 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "menuAndWelcome.views.inicioView",
"line_number": 38,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": ... |
30666637969 | from django.db import models, transaction
from django.conf import settings
from management.models import Organization
from alerts.models import Channel, AlertStats
from django.core.signing import TimestampSigner
from django.shortcuts import get_object_or_404, reverse
from django.template.loader import render_to_string
... | news-catalyst/openalerts | openalerts/subscriptions/models/subscription.py | subscription.py | py | 5,853 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "django.db.models.EmailField",
"line_number": 50,
"usage_type": "call"
},
{
"api_name... |
29263950749 | #!/usr/bin/env python
import numpy as np
# Dataset
n_samples, n_features = 100, 2
mean0, mean1 = np.array([0, 0]), np.array([0, 2])
Cov = np.array([[1, .8],[.8, 1]])
np.random.seed(42)
X0 = np.random.multivariate_normal(mean0, Cov, n_samples)
X1 = np.random.multivariate_normal(mean1, Cov, n_samples)
X = np.vstack([X0,... | sednabcn/Python-ML-Algorithms | SVM/svmlinear.py | svmlinear.py | py | 1,758 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_numbe... |
27000614513 | # Advent of Code 2022 Day 02
# Author: Erik Båvenstrand
# URL: https://adventofcode.com/2022/day/2
from typing import Union
def part_a(data: list[str]) -> Union[int, str, None]:
"""Solution to part A.
Args:
data (list[str]): Advent of Code challenge input.
Returns:
Union[int, str, None]... | ErikBavenstrand/Advent-of-Code | 2022/02/code.py | code.py | py | 1,292 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Union",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 30,
"usage_type": "name"
}
] |
29278414885 | #! coding=utf8
from scipy.stats import linregress
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import glob
import sys
import sys
sys.path.insert(0,'/home/dominik.zuercher/Documents/RSP_Pro/toolbox')
import tools
def lin_func(x, coeff):
return np.add(np.multiply(x, coe... | DZuercher/Splashback | depth_analysis/single_cell_analysis.py | single_cell_analysis.py | py | 3,952 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.add",
"line_num... |
35136756141 | import math
from typing import List
from collections import deque
class Solution:
def removeKdigits(self, num: str, k: int) -> str:
if k >= len(num):
return "0"
stack = deque()
removed_counter = 0
for digit in num:
# import pdb; pdb.set_trace()
... | gtcooke94/snippets | leetcode/may2020/13/soln.py | soln.py | py | 1,625 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 10,
"usage_type": "call"
}
] |
15925289926 | # -*- coding:utf-8 -*-
from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
import os
import time
import torch
import argparse
import numpy as np
from torch.autograd import Variable
import cv2
from data.config import cfg
from PIL import Image
from... | k914/contrastive-alternative-learning | code/test_en.py | test_en.py | py | 3,231 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
... |
10931840158 | #!/usr/bin/env python3
from __future__ import annotations
import argparse
import os
from datetime import date
from pathlib import Path
from typing import Sequence
import requests
from dotenv import load_dotenv
load_dotenv()
def download_input(year: str, day: int):
session_token = os.getenv("session")
if s... | falkben/advent-of-code | create_day.py | create_day.py | py | 1,591 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "typing.Sequence",
"line... |
10998791652 | """Functions for creating HIT qualification requirements"""
import pandas as pd
import boto3
import logging
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
MTURK_QUAL_TYPE_IDS = {
'NumberHITsApproved' : '00000000000000000040',
'PercentAssignmentsApproved' : '000000000000000000L0'... | tomerwolgithub/Break | annotation_pipeline/mturk_backend/qualifications.py | qualifications.py | py | 5,701 | python | en | code | 43 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
}
] |
6986713136 | import requests
from bs4 import BeautifulSoup
def current_ce_stock(ce_id):
stock = []
url = "[your-url]"
try:
response = requests.get(url)
#here we have the html data, we need to grab the custom data using Beautiful soup lib.
soup = BeautifulSoup(response.tex... | EmiHaag/stock-control | ce_stock.py | ce_stock.py | py | 1,361 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 34,
"usage_type": "attribute"
}
] |
35081670318 | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 30 14:53:43 2021
"""
import argparse
import os
import pickle
import torch
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AutoModelForMaskedLM
from transformers import BertTokenizer
from transformers import DataCollatorForWholeWord... | zeno17/LessIsMore | run_measure_loss.py | run_measure_loss.py | py | 4,419 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
... |
13799019700 | import tkinter as tk
import cx_Oracle
from tkinter import Menu
from tkinter import PhotoImage
from tkinter import Entry
from tkinter import Button
from tkinter import Label
class Interface:
def __init__(self, root):
self.connection = cx_Oracle.connect('rm89162/280400@oracle.fiap.com.br:1521/orcl')
... | MuriloNogr/Sprint4-CTT | App.py | App.py | py | 4,261 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cx_Oracle.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.Text",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tkinter.Button",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"li... |
75172462120 | #
# Imports
#
from my_vay import app, db
# General imports for Flask
from flask import render_template, abort, url_for, redirect, flash, request, session, Response
# Imports for forms
from my_vay.forms import AddSideeffects, ImpfnachweisForm, PatientLoginForm, AddVaccination, PatientRegistrationForm, IssuerRegistra... | ValentinFFM/my.vay | my_vay/routes.py | routes.py | py | 34,182 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyzbar.pyzbar.decode",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pyzbar.pyzbar",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "ast.literal_eval",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture"... |
73811790120 | import logging
import socket
from toil.lib.ec2nodes import updateStaticEC2Instances
logger = logging.getLogger(__name__)
def internet_connection() -> bool:
"""Returns True if there is an internet connection present, and False otherwise."""
try:
socket.create_connection(("www.stackoverflow.com", 80))... | DataBiosphere/toil | src/toil/utils/toilUpdateEC2Instances.py | toilUpdateEC2Instances.py | py | 603 | python | en | code | 856 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "socket.create_connection",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "toil.lib.ec2nodes.updateStaticEC2Instances",
"line_number": 21,
"usage_type": "call"
}
] |
71870058280 | from geopy.geocoders import Nominatim
import requests
import pandas as pd
locationGeo = input("Digite sua Cidade<Ex. Fortaleza-CE> : ")
geolocator = Nominatim(user_agent="geoCoders")
location = geolocator.geocode(locationGeo)
lat = location.latitude
lon = location.longitude
API_key = 'f4b18aed5a17c8d04bedd4d6d985006... | WilliamRodri/climate_and_weather | main.py | main.py | py | 1,350 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "geopy.geocoders.Nominatim",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.json",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame"... |
24218374411 | """discourz URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-base... | khuranadhruv18/discourz | src/discourz_app/urls.py | urls.py | py | 1,991 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "discourz_app.views.index",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "discourz_app.views",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "dja... |
35098549989 | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 2 15:57:01 2021
@author: floor
"""
import pandas as pd
import numpy as np
import csv
import matplotlib.pyplot as plt
import pylab
import statistics
import math
#STEP III:
#compare our fitness values to cellmap data
#get data from step II and put it in a dataframe
datafr... | SATAY-LL/SATAY-DOWNSTREAM-ANALYSIS | src/copareWT1_WT2.py | copareWT1_WT2.py | py | 5,917 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_NONNUMERIC",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
... |
74643216680 | import unittest
from common.simulator import Configuration
from common.player import Player
class ConfigurationTest(unittest.TestCase):
def test_slots(self):
""" test we can make a config and add slots """
slots = ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'TE', 'FLEX', 'K', 'D']
config = Configuration(slots, ... | haydenth/genetic_football | tests/ConfigurationTest.py | ConfigurationTest.py | py | 1,349 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "common.simulator.Configuration",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "common.simulator.Configuration",
"line_number": 17,
"usage_type": "call"
},
{
... |
22575967918 | #coding: utf-8
import zmq
from locust import HttpLocust, TaskSet, task
from httprunner import LocustRunner
import os
class WebPageTasks(TaskSet):
def on_start(self):
self.test_runner = LocustRunner(self.client)
self.file_path = self.locust.file_path
@task
def test_specified_scenario(self):... | JoyMobileDevelopmentTeam/Joy_QA_Platform | Joy_QA_Platform/slave/QAPlatform/locustfile.py | locustfile.py | py | 565 | python | en | code | 113 | github-code | 18 | [
{
"api_name": "locust.TaskSet",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "httprunner.LocustRunner",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "locust.task",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "locust.HttpLocust",
... |
29874018712 | from collections import deque
'''
첫 항목을 마지막으로 이동시키는 작업이 필요함으로 deque 사용
'''
def solution(priorities, location):
answer = 0
q = deque(priorities)
# 최초 순서를 기준으로 출력 순서 확인을 위한 check 배열 정의
check = deque(list(range(len(priorities))))
while q:
# 우선순위가 가장 높은 문서와 현재 문서가 일치하는 경우 출력 실행
if q[0]... | essk13/Algorithm | 01_problem/python/2022/Programmers/Programmers_42587/42587_Programmers.py | 42587_Programmers.py | py | 856 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
}
] |
74329935719 | #Juston ELlis
#Case Study 3
#Movie html parser
import requests
from bs4 import BeautifulSoup
import matplotlib.pyplot as plt
import csv
# GET request to the website
url = "https://www.timeout.com/film/best-movies-of-all-time"
response = requests.get(url).text
# bsoup parses the html for elements
soup = BeautifulSou... | justonslc/MachineLearning | venv/CaseStudy3.py | CaseStudy3.py | py | 2,017 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.bar",
... |
31427824416 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import wx_version
import wx
class MainBar(wx.ScrolledWindow):
def __init__(self, parent, plot):
#wx.Panel.__init__(self, parent, style=wx.HSCROLL)
wx.ScrolledWindow.__init__(self, parent)
self.SetScrollRate(1,0)
self.myparent... | victorsndvg/opennum | code/v_vtk/MainBar.py | MainBar.py | py | 901 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "wx.ScrolledWindow",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "wx.ScrolledWindow.__init__",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "wx.ScrolledWindow",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name... |
21158736038 | from logging import getLogger
import torch
from libcity.model.abstract_traffic_state_model import AbstractTrafficStateModel
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import BatchNorm2d, Conv2d, Parameter, BatchNorm1d
from libcity.model import loss
import numpy as np
import scipy.sparse as sp
f... | LibCity/Bigscity-LibCity | libcity/model/traffic_speed_prediction/HGCN.py | HGCN.py | py | 16,833 | python | en | code | 644 | github-code | 18 | [
{
"api_name": "scipy.sparse.coo_matrix",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.sparse",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"l... |
43861730708 | # encoding: utf-8
"""Criação de arquivos."""
import sys
import os
import os.path
import yaml
import optparse
import models
parser = optparse.OptionParser(usage="%prog -[ [s] --[save] ]", version="%prog 1.0")
#
# -p, --stdout
#
parser.add_option( '-p', '--stdout',
dest = "stdout",
default = False,... | lopesivan/template-code | w-ezored-linux/w/v/app.py | app.py | py | 4,096 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "optparse.OptionParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "os.access",
"li... |
29135043333 | import os
import sys
import argparse
def gotox(offset, time):
os.system("gotox -d " + str(offset) + " -t " + str(time) + " && gotox -d " + str(offset) + " -t " + str(time))
parser = argparse.ArgumentParser(description='Searches for satellites.')
parser.add_argument("satellite")
parser.add_argument("-s", "--start", h... | peckrob/satsearch | satsearch.py | satsearch.py | py | 1,108 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.system",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number... |
13112079860 | import cartopy
import cartopy.crs as ccrs
import matplotlib
import pandas
def plot_patches(ax,obs,**kwargs):
"""Plot observations as points.
Args:
ax (:obj:`cartopy.mpl.geoaxes.GeoAxes`): Axes on which to draw.
obs (:obj:`pandas.DataFrame`): Data frame containing obs positions.
Keyword Ar... | philip-brohan/Meteorographica | Meteorographica/observations/plot.py | plot.py | py | 3,762 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "cartopy.crs.PlateCarree",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "cartopy.crs",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "matplotlib.patches.Circle",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "matplot... |
69796825641 | #-*- coding: UTF-8 -*-
import os
import json
import time
from core.keyboardinterceptor import KeyboardInterceptor
from queue import Queue
from core.keyhandler import KeyHandler
DEFAULT_CONFIG = {
"buffCoef1": 0.3,
"buffCoef2": 0.6,
"buffCoef3": 4.0,
"buffCoef4": 8.0,
"buffCoef5": 12.0,
"shiftBu... | firemakergk/vimouse | src/controller/appcontroller.py | appcontroller.py | py | 2,004 | python | en | code | 55 | github-code | 18 | [
{
"api_name": "queue.Queue",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "core.keyboardinterceptor.KeyboardInterceptor",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "core.keyhandler.KeyHandler",
"line_number": 33,
"usage_type": "call"
},
{
... |
36985176184 | import re
from collections import OrderedDict
import math
class Army(list):
armies = []
def __init__(self, name):
super().__init__()
self.name = name
self.__class__.armies.append(self)
@property
def units(self):
return sum([g.units for g in self])
def append(self... | blitzmann/adventofcode | 2018/day24/solve.py | solve.py | py | 7,094 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.match",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 124,
"usage_type": "call"
}
] |
22494444875 | import _io
from io import BytesIO
import numpy as np
import streamlit as st
import plyfile as ply
from numpy.lib import recfunctions as rfn
def parse_npz(byte_obj: _io.BytesIO) -> np.ndarray:
"""
Parse point cloud saved as a compressed numpy array.
:param byte_obj: input object to be parsed.
:type b... | jkarolczak/ligand-classification | src/deploy/parsing.py | parsing.py | py | 4,267 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "_io.BytesIO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "_io.BytesIO",
"lin... |
34854023611 | from pathlib import Path
from typing import Dict, Iterable, List, Optional
from playhouse.sqlite_ext import SqliteExtDatabase
import json
import click
from ainar.database import proxy
from ainar.database.coco import Annotation, Category, Image
from ainar.datasets.coco import Coco, load_dataset
from ainar.filters impo... | xaiinc/ainar | ainar/__main__.py | __main__.py | py | 2,801 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "playhouse.sqlite_ext.SqliteExtDatabase",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "ainar.database.proxy.initialize",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "ainar.database.proxy",
"line_number": 29,
"usage_type": "name"
}... |
36933329222 | import bpy
from bpy.props import BoolProperty, IntProperty
#法線をアクティブにする、既にチェック済み場合は無視。
def oSm(b):
for o in bpy.context.selected_objects:
if o.type == 'MESH':
bpy.ops.object.shade_smooth()
if o.data.use_auto_smooth == False:
o.data.use_auto_smooth = True
... | land-Y/SItoB | si_Subdiv.py | si_Subdiv.py | py | 5,251 | python | ja | code | 7 | github-code | 18 | [
{
"api_name": "bpy.context",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "bpy.ops.object.shade_smooth",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bpy.ops",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "bpy.context",
... |
38323077203 | import requests,bs4
from twilio.rest import Client
accountSID='**********************************' #I have obtained the accountsid,authtoken and twilio no but will not be showing as it can be misused
authToken='********************************'
twilioCli=Client(accountSID,authToken)
mytwiliono='************' ... | akshaya9999/pythonautomate | Chapter18/umbrellaremaider.py | umbrellaremaider.py | py | 971 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "twilio.rest.Client",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
}
] |
7629878684 | import requests
from bs4 import BeautifulSoup
import re
import sys
sys.path.append('/home/nandagopal/eagle')
from data_collection.config import *
f_ratios_list = list(open(f_ratios_file, 'r').readlines())
def find_data_for_all_stock(sector=None):
"""
method to be called from airflow
loops through all ur... | NandaCj/eagle | data_collection/get_f_ratios.py | get_f_ratios.py | py | 1,791 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"lin... |
41948210145 | import itertools
amt = int(input().rstrip())
for i in range(amt):
line = input().rstrip().split(" ")
ooga = list(line[1])
ooga.sort()
all_perms = list(itertools.permutations(ooga))
#print(all_perms)
print("{} {}".format(''.join(all_perms[ int(line[0]) ]) , ''.join(all_perms[len(all_perms)-int(line[0]) -1 ])))
#... | Nate8888/programming-contest-practice | programming-team/First Semester/Sixth/permpairs.py | permpairs.py | py | 343 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "itertools.permutations",
"line_number": 8,
"usage_type": "call"
}
] |
12763348350 | import collections
#FUNCTIONS THAT INVOLVE BUILDING AND MODIFYING BASIC GRAPHS
#takes an int specifying the number of vertices or an iterable containing the vertex names, and
#a list of the edges [(0, 1), (1, 2), (0, 2), (2, 4, 1)] (the third parameter, if given, is the order of a directed edge)
#with that, it clears... | youkaicountry/YoukaiTools | src/YoukaiTools/GraphEngine/GraphTools/Builders.py | Builders.py | py | 4,302 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "collections.Iterable",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "collections.Iterable",
"line_number": 62,
"usage_type": "attribute"
}
] |
2832379286 | """
Plot helpers
"""
import matplotlib.pyplot as plt
import numpy as np
__all__ = ['plot_pressure', 'plot_filltime', 'show_flowfront', 'show_kmaps']
def plot_pressure(pr, showlegend=True):
"""
Plot pressure for all the rows
Parameters
----------
pr : np.ndarray
Pressure values
sho... | fcayci/flowfront | flowfront/common/plots.py | plots.py | py | 2,783 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "numpy.transpose",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
74496852200 | import requests
def getHTMLText(url,kv):
try:
hd = {'user_agent':'Mozilla/5.0'}
r = requests.get(url,headers = hd,params = kv)
r.raise_for_status() #如果不是200，引发HTTPError异常
r.encoding = r.apparent_encoding
return r.text
except:
return "异常"
if __name__ == "__main__"... | yqzs/Python-Crawler-and-Information-Extraction | 第1单元/2实例3：百度360搜索关键词提交.py | 2实例3：百度360搜索关键词提交.py | py | 659 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
}
] |
40114119625 | from django.urls import path
from .views import (
SiteSettingsView,
PageListView,
PageDetailView,
NewsListView,
NewsByCategoryListView,
NewsByDateListView,
NewsDetailView,
ContactDetailsView,
ContactDetailsMessageView,
)
urlpatterns = [
path("site-settings/", Sit... | sebherrerabe/doctor_website | dev/api/urls.py | urls.py | py | 1,002 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "views.SiteSettingsView.as_view",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "views.SiteSettingsView",
"line_number": 16,
"usage_type": "name"
},
{
"api_name":... |
73032597479 | import random
import logging
import time
import argparse
import ConfigParser
from datetime import datetime
parser = argparse.ArgumentParser(description='Random Log Generator.')
parser.add_argument('-i', '--iterations', type=int, help='Number of iterations', required=True)
parser.add_argument('-f', '--framework', type... | balajiommudali1/logGenerator | generator.py | generator.py | py | 914 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ConfigParser.ConfigParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "... |
7058823966 | """Creates an interactive website displaying characteristics of electric vehicles"""
# Import Libraries
import pandas as pd
import numpy as np
import streamlit as st
import plotly_express as px
import plotly.figure_factory as ff
## READ AND CLEAN DATA
# Set Application Name
st.set_page_config(page_title='Electric Ve... | kellyshreeve/web-app-of-electric-vehicle-data-visualizations | app.py | app.py | py | 8,139 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.NaN",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "pandas.to_nu... |
74279708519 | import os
from pyglet.gl import *
from .player import Player
from .platform import Platform
class mainMenu():
def __init__(self, main_window):
self.main_window = main_window
self.main_batch = pyglet.graphics.Batch()
depressed = pyglet.image.load(f'{os.getcwd()}/resources/play_game_button.png')
pressed = pyg... | Hacking-With-Friends/GE_Jam_3 | dualdo/lib/scenes.py | scenes.py | py | 1,100 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyglet.gl.graphics.Batch",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyglet.gl.graphics",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pyglet.gl",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pyglet.gl.... |
11232711450 | import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk
from matplotlib.figure import Figure
from matplotlib.backends.backend_gtk3cairo import FigureCanvasGTK3Cairo as FigureGTKCanvas
from matplotlib.backends.backend_gtk3 import NavigationToolbar2GTK3 as NavigationToolbar
from matplotlib.patches import... | gravures/gravure | src/gravure/tools/ui/mpl_widgets.py | mpl_widgets.py | py | 3,724 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "gi.require_version",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gtk.Window",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.Gtk",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "gi.... |
74059551721 | import torch.nn as nn
import torch.nn.functional as F
import torch
class DEQCpResidualBlockAdjacentBlock(nn.Module):
def __init__(self, dilations, in_channels, out_channels, kernel_size, block_id):
super(DEQCpResidualBlockAdjacentBlock, self).__init__()
self.kernel_size = kernel_size
self.... | dsamourkasidis/UoG_MScProject2020 | deq_modules/deq_residual_block.py | deq_residual_block.py | py | 2,825 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
30722581731 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# test-train-shakeel/format_data.py
#
# format time series data for training
#
import os
import re
import pandas as pd
import datetime as dt
import pandas as pd
import numpy as np
import scipy
#import matlab.engine
from sklearn.preprocessing import minmax_scale
#linux... | slp600kun/Multivariate | training/preprocess_data.py | preprocess_data.py | py | 11,928 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.split",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_nu... |
71991337641 | import json
import unittest
from graph import Graph
class GraphTests(unittest.TestCase):
def setUp(self):
# create graph from JSON file
self.g = Graph('model/data/data.json')
# read JSON file into Python dictionary
with open('model/data/data.json') as f:
self.json_data = json.load(f)
# test that Graph c... | lstrait2/Wikipedia-Scraper | model/graph/test_graph.py | test_graph.py | py | 7,879 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "graph.Graph",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "unittest.main",
"line_... |
71426778600 | import pandas as pd
import numpy as np
import os
import sys
import random
import torch
import matplotlib.pyplot as plt
from pathlib import Path
import math
import plotly
import plotly_express as px
import seaborn as sns
import itertools
from functools import partial
import tqdm.notebook as tqdm
from scip... | aorursy/new-nb-3 | gautham11_quantile-regression-pytorch-lightning-training.py | gautham11_quantile-regression-pytorch-lightning-training.py | py | 39,625 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "skimage.segment... |
70982900201 | #!/usr/bin/env python
__author__ = 'Sergei F. Kliver'
import bz2
import gzip
import sys
import argparse
from pandas import read_csv
if sys.version_info[0] == 3:
from io import TextIOWrapper as file
def metaopen(filename, flags, buffering=None):
if not isinstance(filename, str): # or isinstance(filename, g... | mahajrod/AVAVpipe | workflow/scripts/fai2intervals.py | fai2intervals.py | py | 1,771 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.version_info",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "io.TextIOWrapper",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "gzip.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bz2.open",
"... |
30867618629 | from django.urls import path, include
from django.contrib import admin
from main import views
from django.contrib.auth.views import LogoutView,LoginView
urlpatterns = [
path('admin/', admin.site.urls),
path('partner/', include('partner.urls')),
path('user/', include('user.urls')),
path('',... | Wander-web/podberunchick | podberun/urls.py | urls.py | py | 2,073 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dja... |
5504668490 | import os
from iplstats.models import Match, Delivery
from django.core.management.base import BaseCommand
class Command(BaseCommand):
def handle(self, *args, **kwargs):
basedir = os.path.abspath(os.path.dirname('matches.csv'))
matches_csv = os.path.join(basedir, 'matches.csv')
deliveries... | sreebhargava143/djangoipl | iplstats/management/commands/importcsv.py | importcsv.py | py | 720 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "o... |
73634659561 | from typing import Union
from django.core.exceptions import ValidationError
from django.db import IntegrityError
from . import models
from .selectors import product_get
def stock_update(
product: Union[models.Product, str],
quantity: int = 0,
validate: bool = True,
replace: bool = False,
):
"""
... | juanpsenn/ecommerce | ecommerce/products/services.py | services.py | py | 1,316 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Union",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "selectors.product_get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "django.core.exceptions.ValidationError",
"line_number": 34,
"usage_type": "call"
},
{
"api_nam... |
16763813964 | from django.db import models
from django.contrib.auth.models import AbstractUser
from phonenumber_field.modelfields import PhoneNumberField
from courses.models import Course
# Create your models here.
class User(AbstractUser):
STUDENT = 1
TUTOR = 2
STAFF = 3
ROLE_CHOICES = (
(STUDENT, 'student... | mayant-solutions/StudentPortal | studentportal/users/models.py | models.py | py | 953 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.DateField",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 17,
"usage_type": "name"
},
{
... |
40797430733 | # ============================================
# Implementando a interface via Streamlit
# ============================================
import streamlit as st
import numpy as np
import matrix_operations
import check_forms
st.title("Calculadora de Matrizes")
# =================================================
# Import... | almir-martins/calculadora_matrizes | python_scripts/my_app/pages/Matriz_e_escalar.py | Matriz_e_escalar.py | py | 7,738 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "streamlit.title",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matrix_operations.Calculadora_Matriz",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "check_forms.Forms",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": ... |
42877594291 | from flask import render_template, redirect, url_for, request, jsonify
from app import app
from app.forms import MainForm
from imdb import IMDb
import collections
@app.route('/', methods=['GET'])
@app.route('/search', methods=['GET'])
def search():
matching_tv_series = list()
ia = IMDb()
query = request.ar... | nithintsk/imdb-ratings | app/routes.py | routes.py | py | 2,685 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "imdb.IMDb",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
7660076556 | import torch
import torch.nn as nn
import numpy as np
from torch.optim import Adam
from torch.utils.data import DataLoader
from torch.utils.data import Dataset
from torch.utils.data import TensorDataset
from torchvision.datasets import MNIST
from torchvision.transforms import ToTensor
from tqdm import tqdm
class LeNe... | seyeon-shijuan/sesac-machine-learning | chap3_deep_learning/dl_22_lenet.py | dl_22_lenet.py | py | 2,941 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
32873895781 | import torch
from fastai import *
from fastai.vision import *
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
class Network(nn.Module):
def __init__(self):
super(Network, self).__init__()
self.lin1 = nn.Linea... | jkleiber/ECE-ComputerVision | HW5/torch_mnist.py | torch_mnist.py | py | 4,049 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
428748614 | import os
import glob
import pandas as pd
import cv2
import sys
import tqdm
sys.path.append('../')
import Config
class GetTrainTestCSV:
"""
img txt
img abspath txt abspath or None
"""
def __init__(self, dataset_path=Config.READ_PATH_DATASET, csv_name=Config.CSV_NAME):
... | KyanChen/RefineDet | tools/GetTrainTestCSV.py | GetTrainTestCSV.py | py | 2,013 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "Config.READ_PATH_DATASET",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "Config.CSV_... |
13312511754 | import argparse
import base64
import hashlib
import json
import time
from datetime import datetime
from flask import request, jsonify, Blueprint
from config import Config
from predict import predict
from flask import Flask
app = Flask(__name__)
app.secret_key = '1234567'
api = Blueprint('changhai', __name__)
@api... | Bureaux-Tao/discontinuous-ner | main.py | main.py | py | 4,953 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "flask.request",... |
8485957738 | from mock import patch, MagicMock
from nose.tools import assert_raises
import json
from pybossa.s3_client import S3Client, NoSuchBucket, PrivateBucket
class TestS3Client(object):
def make_response(self, text, status_code=200):
fake_response = MagicMock()
fake_response.text = text
fake_resp... | Scifabric/pybossa | test/test_s3_client.py | test_s3_client.py | py | 4,816 | python | en | code | 730 | github-code | 18 | [
{
"api_name": "mock.MagicMock",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pybossa.s3_client.S3Client",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "mock.patch",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "pybossa.s3_client... |
72140981800 | import json
import random
import urllib.request
import urllib.parse
from app.db.base_class import Base
from app.db.session import db1, db2
from sqlalchemy.orm import Session
from app import crud, schemas
from app.db.models.relationship import Relationship
from app.core.config import settings
def generate_base_url(s... | biesiadm/movieweb | services/relationships/app/app/db/init_db.py | init_db.py | py | 1,446 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "app.db.session.db1",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "app.db.session.db2",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "app.db.b... |
70368880360 | import sys, os, argparse
from rawkit.raw import Raw
import numpy as np
from PIL import Image
def raw_to_jpg(file):
try:
with Raw(file) as raw_image:
buffered_image = np.array(raw_image.to_buffer())
im = Image.frombuffer('RGB', (raw_image.metadata.width, raw_image.metadata.height), buffered_image, 'raw', 'RGB'... | ebrock/raw-to-jpg | raw-to-jpg.py | raw-to-jpg.py | py | 952 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "rawkit.raw.Raw",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image.frombuffer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_n... |
19274842958 | import numpy as np
import glob
import cv2
import os
import matplotlib.pyplot as plt
import argparse
import yaml, json
import math
import pandas as pd
import seaborn as sns
def deg2rad(deg):
return deg * math.pi / 180
def rad2deg(rad):
return rad * 180 / math.pi
def mse(v1, v2):
v = v1 - v2
return np.... | Jhuangsp/cameraPose | eval.py | eval.py | py | 12,072 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "math.pi",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_... |
2654078184 | # Generic
from datetime import datetime
from baking.main import db
class Genre(db.Model):
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(90))
def __init__(self, name):
self.name = name
def __repr__(self):
return '<Genre %r>' % self.name
class Artist(db.Mod... | arukavina/baking-lyrics | baking/main/database/models.py | models.py | py | 3,785 | python | en | code | 14 | github-code | 18 | [
{
"api_name": "baking.main.db.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "baking.main.db",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "baking.main.db.Column",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "baking.ma... |
71547881319 |
import yaml
from datetime import datetime, timedelta
from . import directories
from . import ingredients
from . import recipes
import os
from typing import List
PARTY_MAX_DURATION = timedelta(days=1)
PARTY_MIN_ORDER_COUNT = 5
STATISTICS_MAX_DISTANCE = timedelta(weeks=52)
class Party:
def __init__(self, start: dat... | Robert2611/BarBot4 | raspberry/python/barbot/orders.py | orders.py | py | 3,660 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.timedelta",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.date... |
30178268473 | import tkinter
from tkinter import *
from tkinter import ttk
from tkinter import filedialog
from pytube import YouTube
from pytube import Playlist
from urllib.request import urlopen
from PIL import Image, ImageTk
label1 = ''
visualizar_descricao = ''
mais = []
INPUT = ''
def atualizar():
return root.update()
def... | samuelllegal/YoutuBR | YoutuBR.py | YoutuBR.py | py | 3,759 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pytube.Playlist",
... |
28757512602 | # This file is part of tblite.
# SPDX-Identifier: LGPL-3.0-or-later
#
# tblite is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#... | tblite/tblite | python/tblite/interface.py | interface.py | py | 21,671 | python | en | code | 54 | github-code | 18 | [
{
"api_name": "numpy.ndarray",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "typing.Optional... |
23398916931 | # -*- coding: utf-8 -*-
from django.core.management.base import BaseCommand
from main.models import TournamentGroup, TournamentRound, Venue, Team, Game, Extra, ExtraChoice
class Command(BaseCommand):
help = 'Creates the real WWC 2023 data'
TOURNAMENT_START = '2023-07-20 19:00:00+12'
def handle(self, *... | mloeks/rtg | main/management/commands/wwc2023_create_tournament_data.py | wwc2023_create_tournament_data.py | py | 11,331 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "main.models.Game.objects.all",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "main.models.Game.objects",
"line_number": 23,
"usage_type": "attribut... |
34988561442 | # Imports
import sys
if sys.version_info.major < 3 or sys.version_info.minor < 4:
raise RuntimeError('At least Python 3.4 is required')
import keyboard
import pygame
import requests
HOST = '10.148.131.75'
PORT = '8000'
# BASE_URL is variant use to save the format of host and port
BASE_URL = 'http://' + HOST + ':... | ct-studio-buildboard/ST19-18 | scripts/control_keyboard.py | control_keyboard.py | py | 5,535 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.version_info",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
... |
14597764088 | ########################################################################
#
# File: cnn_mine.py
# Author: Matt Zucker
# Date: March 2020
#
# Written for ENGR 27 - Computer Vision
#
########################################################################
#
# attempt to improve on keras tutorial with deeper network th... | mzucker/e27_keras_examples | cnn_mine.py | cnn_mine.py | py | 2,494 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "mnist_preprocess.load_datasets",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "keras.models",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name... |
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