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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
74362477174 | import json
import sys
import math
#Comma separated Ticker, Date, Open, High, Low, Close, Volume.
from os import walk
from filesInPath import filesInPath
def getDataFromFile(fileName):
f = open("percentData/" + fileName + ".json", "r")
return json.load(f)
def normalize(value):
return 1/(1 + math.... | Lucifer1662/StockPricePredict | normalizeJson.py | normalizeJson.py | py | 1,126 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "filesInPath.filesInPath",
"line_num... |
8194404910 | """В данной игре необходимо играть за рыцаря, который путешествует
по многоэтажному подземелью, борется с врагами и собирает сокровища.
"""
"""Сделано дополнительно:
* Перемещение героя зажатием клавиш
* Союзник и эффект IDDQD добавлен
* Миникарта реализована (красная точка - герой, объекты не выведены специально ("т... | Tzumx/Dungeon_-game- | Main.py | Main.py | py | 7,229 | python | ru | code | 1 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
15658164905 | #!/bin/python
import sys
import socket
from datetime import datetime
if len(sys.argv) == 2: # Define que el comando debe de recibir dos argumentos.
target = socket.gethostbyname(sys.argv[1]) #Define que el argumento con
#indice 1 es nuetro objetivo, puede host name... | srodriguezmx/portscanner | scanner.py | scanner.py | py | 1,686 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "socket.gethostbyname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",... |
4540561772 | #!/usr/bin/env python3.9
import asyncio
from flask import Flask, escape, request, send_from_directory, redirect
import json
import logging
from multiprocessing import Process
import os
import re
import requests
import signal
import subprocess
import sys
import time
from urllib.parse import urlparse
import websocket
im... | tmathmeyer/chromium-src-tools | devdev.py | devdev.py | py | 10,674 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "werkzeug.serving.WSGIRequestHandler.protocol_version",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "werkzeug.serving.WSGIRequestHandler",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 26,
"usage_typ... |
3896191014 | import argparse
from transformers import glue_processors as processors
from transformers import BertConfig, BertForSequenceClassification, BertTokenizer
MODEL_CLASSES = {"bert": (BertConfig, BertForSequenceClassification, BertTokenizer)}
def debug_QNLI(args):
args.do_lower_case = True
return args
def base_a... | VITA-Group/essential_sparsity | assets/bert_sparseland/argument.py | argument.py | py | 4,231 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "transformers.BertConfig",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "transformers.BertForSequenceClassification",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "transformers.BertTokenizer",
"line_number": 6,
"usage_type": "name"
},... |
8143265237 | from pathlib import Path
import numpy as np
import pandas as pd
import sys
from pyskindose.corrections import calculate_k_bs
from pyskindose.corrections import calculate_k_med
from pyskindose.corrections import calculate_k_isq
from pyskindose.db_connect import db_connect
P = Path(__file__).parent.parent.parent
sys.pa... | Kalag-Jar/PySkinDose | tests/unittests/test_corrections.py | test_corrections.py | py | 3,482 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pyskindose.corrections.cal... |
26428954405 | import sys
# sys.stdin = open("sample_input.txt", "r")
input = sys.stdin.readline
from collections import deque
# from heapq import heappush, heappop
# from collections import defaultdict
# from itertools import permutations
dr = [-1, 0, 1, 0]
dc = [0, 1, 0, -1]
def f(sr, sc):
qu = deque()
visited = [[[-1] * ... | seho27060/aug-algo-study | 0829/17836_won.py | 17836_won.py | py | 1,321 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 13,
"usage_type": "call"
}
] |
2672257158 | def count_occurrences(element_list):
d=dict()
for i in set(element_list):
d[i]=element_list.count(i) # Use count function to count element i and put it as value corresponding to its key i in dictionary d
return d
print("The dictionary containing the count of each unique element is:")
print(count_occ... | Riazul7/Assignment-Project | Assignment-6/Assignment-6_Answers.py | Assignment-6_Answers.py | py | 9,359 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pprint.pprint",
"line_number": 109,
"usage_type": "call"
},
{
"api_name": "flatten_dict.flatten",
"line_number": 109,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "collect... |
25337172350 | from PyQt5.QtWidgets import QSizePolicy
from matplotlib import pyplot as plt
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
class GraphicsCanvas(FigureCanvas): # холст для помещения графика
def __init__(self, fig, parent=None):
self.fig = fig
FigureCanvas.__init_... | dzbarts/Financial-Analyser | GUI/canvas.py | canvas.py | py | 773 | python | ru | code | 1 | github-code | 21 | [
{
"api_name": "matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.backends.backend_qt5a... |
16631527956 | import random
import numba
lowers = "abcdefghijklmnopqrstuvwxyz"
uppers = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
numbers = "0123456789"
lorem_ipsum_sentences = [
'Lorem ipsum dolor sit amet, consectetur adipiscing elit.',
'Quisque vitae varius ex, eu volutpat orci.',
'Aenean ullamcorper orci et vulputate fermentum... | ImGajeed76/useless_stuff | useless/useless_string.py | useless_string.py | py | 3,162 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.randint",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numba.jit",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numba.jit",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numba.jit",
"line_number": 40,... |
16055184782 | # -*- coding: utf-8 -*-
from flask_restful import reqparse, Resource
from flask import jsonify
from my_models import Notes, Cars, Users, session_git
from datetime import datetime
import time
import datetime
from flask import request, abort
from functools import wraps
from sqlalchemy.orm import class_mapper
def requir... | rrLero/chubin | add_car/notes.py | notes.py | py | 3,206 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask_restful.reqparse.RequestParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask_restful.reqparse",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "flask.abort",
"line_number": 21,
"usage_type": "call"
},
{
"api_name"... |
19930035463 | # -*- coding: utf-8 -*-
'''
训练摔倒检测模型,mini模型
用法：
python /home/reed/Desktop/code/oldcare/trainingfalldetection.py
'''
# import the necessary packages
from datasets import SimpleDatasetLoader
from preprocessing import AspectAwarePreprocessor
from preprocessing import ImageToArrayPreprocessor
from conv import MiniVGGNet
f... | wmn-231314/OldCare | oldCare-cv/train/trainingfalldetection.py | trainingfalldetection.py | py | 3,096 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "preprocessing.AspectAwarePreprocessor",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "preprocessing.ImageToArrayPreprocessor",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "imutils.paths.list_images",
"line_number": 44,
"usage_type":... |
346122614 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import csv
import time
import datetime
from scrapy import signals
# from scrapy.contrib.exporter import CsvItemExporter
imp... | m-hairan/crawling-api-spider | chainxy/pipelines.py | pipelines.py | py | 2,154 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.signals.spider_opened",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "scrapy.signals",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "scrapy.signals.spider_closed",
"line_number": 45,
"usage_type": "attribute"
},
{
... |
26995081051 | #!/usr/bin/python
from oled import SDD1306OLED
from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
from PIL import ImageOps
import time
import os.path
# Change these values to match the GPIO pins used
# to connect the display to your Raspberry Pi
dc_pin = 24 # data command pin
reset_pin = 25 ... | AidanHolmes/sdd1306oled | example.py | example.py | py | 1,358 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "oled.SDD1306OLED",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "oled.initialise",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "oled.clearDisplay",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
... |
26279013985 | #!/usr/bin/python3
"""
This is the main file where the program runs from.
"""
from flask import Flask, redirect, render_template, url_for
# DB Functions that can do CRUD operations.
from db import Pet, Owner, DatabaseConnection
# Forms that can be used for the operations.
from forms import PetRegistrationForm, Owne... | dat-adi/mock_store | v2/main.py | main.py | py | 3,186 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "db.DatabaseConnection",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask.render_... |
35005002766 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import sys
from urllib.request import urlopen
import json
import os
from os.path import join, isfile
import subprocess
from shutil import copy, move
import stat
import codecs
def get_download_url(latest_manifest, latest_version):
for version in latest_manifest['versions'... | chamer81/docker-minecraft | minecraft/getLatestServer.py | getLatestServer.py | py | 1,728 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlope... |
13360105891 | from typing import List, Optional
import torch
import torch.nn.functional as F
from torch import Tensor, nn
from refined.doc_preprocessing.preprocessor import Preprocessor
from refined.model_components.description_encoder import DescriptionEncoder
class EDLayer(nn.Module):
def __init__(
self,
pr... | amazon-science/ReFinED | src/refined/model_components/ed_layer_2.py | ed_layer_2.py | py | 6,336 | python | en | code | 126 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "refined.doc_preprocessing.preprocessor.Preprocessor",
"line_number": 14,
"usage_type": "name"
},
{
... |
36689510262 | from flask import render_template, Blueprint, request, jsonify, redirect
from model import redis_cli
home_bp = Blueprint('home', __name__)
@home_bp.route('/')
def index():
if request.args:
search_content = str(request.args['search_content']).lower()
search_item_ids = redis_cli.smembers(f'{search_... | qinghuawu/ozpricevote | PycharmProjects/OZBargainVote/blueprints/home.py | home.py | py | 3,219 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.request.args... |
3705284496 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.model_selection import ShuffleSplit
from sklearn.model_selection import KFold
from sklearn import preprocessing
import math
import sys
import statistics
# In[2]:
... | LegenDu/MachineLearning-BasicAlgorithms | DecisionTree/RegressionTree.py | RegressionTree.py | py | 5,997 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 102,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_numb... |
1868404457 | import pymongo
client = pymongo.MongoClient("mongodb+srv://root:root051@cluster0.dxerf.mongodb.net/?retryWrites=true&w=majority")
db = client.test
print(db)
data = {
"name" : "avinash",
"email id" : "avinashkr051@gmail.com",
"phone Number": +918895987013,
"designation": "developer",
"learning" : "D... | avinash051/mongoDB_learning | monogoDbTest.py | monogoDbTest.py | py | 428 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 2,
"usage_type": "call"
}
] |
29470343813 | import os
import csv
import cv2
import numpy as np
from keras import optimizers
from keras.models import Sequential, Model
from keras.layers import Cropping2D, Flatten, Dense, Lambda, Convolution2D, Dropout
from sklearn.model_selection import train_test_split
from sklearn.utils import shuffle
from keras.callbacks impor... | zieitokk/CarND-Behavior-Cloning-Project | model.py | model.py | py | 5,935 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 38,
"usage_type": "call"
},
{
"api_nam... |
17331092135 | from enum import Enum
from pathlib import Path
from shutil import rmtree
from time import time
from typing import Any, Dict, List, Optional, Tuple, Type, Union
import vedro
from pyppeteer.browser import Browser
from pyppeteer.launcher import Launcher
from pyppeteer.page import Page
from vedro.core import Dispatcher, P... | tsv1/vedro-pyppeteer | vedro_pyppeteer/_vedro_pyppeteer.py | _vedro_pyppeteer.py | py | 5,108 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "_browser_context.BrowserContext",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.An... |
3789694005 |
import streamlit as st
import plotly
import plotly.express as px
import statsmodels.api as sm
import pandas as pd
import json
def app():
#st.set_page_config(layout="wide")
st.title("YEET")
query_id = "11a317b4-dd02-41de-97ae-bc038ef27272"
df = pd.read_json(f"https://api.flipsidecrypto.... | massnomis/herokustreamlitflipsidetrio | massnomis/apps/gpusers.py | gpusers.py | py | 2,782 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "streamlit.title",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_json",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar.write",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "streamlit.si... |
5422776687 | import hatshufflepy
import datetime
import sys
if sys.argv[0]:
votes_number = int(sys.argv[1])
else:
votes_number = 100
start = datetime.datetime.now()
crs_file = "crs.json"
public_file = "pk"
hatshufflepy.hat_shuffle_create_crs(votes_number, crs_file, public_file)
end = datetime.datetime.now() - start
pri... | StefanosChaliasos/hatshufflepy | demos/crs.py | crs.py | py | 328 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
38523382885 | import torch
import torch.nn as nn
class RNNOp(nn.Module):
def __init__(self, nhid, dropout=0.):
super(RNNOp, self).__init__()
self.op = nn.Sequential(
nn.Linear(2 * nhid, nhid),
nn.Tanh(),
nn.Dropout(dropout),
)
def forward(self, left, right):
... | shawntan/stack-binary-recursive-nn | recursive.py | recursive.py | py | 6,755 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
26969598855 | from collections import defaultdict, deque, namedtuple
import functools
import math
import re
Direction = namedtuple("Direction", 'dir x y')
UP = Direction('up', 0, -1)
LEFT = Direction('left', -1, 0)
DOWN = Direction('down', 0, 1)
RIGHT = Direction('right', 1, 0)
class Tree(object):
def __init__(self, value):
... | hckhilliam/programming | AdventOfCode/2022/08.py | 08.py | py | 3,587 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "math.prod",
"line_number": 135,
"usage_type": "call"
}
] |
24551743466 | from sys import argv
from json import dump
from os import system
from os.path import dirname, realpath
def create_new_worker(worker):
try:
name, index = worker.split('@')
except ValueError:
name = worker.removesuffix('+').removesuffix('-')
index = -1
set_to = True if worker.end... | BaumGmbH/python-projects | Heroku Dyno Manager/bin/conver_bat.py | conver_bat.py | py | 1,013 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 30,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"line_nu... |
18943271007 | from datetime import date, datetime, time
end_time = datetime(2021,1,1,20)
blocksites = ['www.facebook.com','facebook.com']
hosts_path = r"C:\Windows\System32\drivers\etc\hosts"
redirect ="127.0.0.1"
def block():
if datetime.now() < end_time:
print("Block sites")
with open(hosts_path... | RandyHanjaya3939/Python-small-project | siteblocker.py | siteblocker.py | py | 925 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "name"
}
] |
44008585920 | from flask import abort, Blueprint, jsonify, make_response, request
from app import db
from app.auth import *
from app.env import *
from app.helper import *
from app.models.user import User
from app.models.portfolio import Portfolio
from app.models.stock import Stock
from app.models.transaction import Transaction
im... | nickclason/Senior-Design | src/backend/app/api/portfolio_api.py | portfolio_api.py | py | 11,987 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "flask.request... |
42821456636 | from setup_db import SessionLocal
from fastapi.security import OAuth2PasswordBearer
import jwt
from app.constants import JWT_KEY, JWT_METHOD
from fastapi import HTTPException, status, Depends
from app.service.rtokens import RTokenService
# Dependency
def get_db():
db = SessionLocal()
try:
yield db
... | ipotemkin/movies_on_fastapi | app/dependency.py | dependency.py | py | 1,429 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "setup_db.SessionLocal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fastapi.security.OAuth2PasswordBearer",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "jwt.decode",
"line_number": 23,
"usage_type": "call"
},
{
"api_name":... |
18382411211 | import os
import sys
import pytest
from wazuh_testing import global_parameters
from wazuh_testing.office365 import callback_detect_enabled_err, callback_detect_only_future_events_err, \
callback_detect_interval_err, callback_detect_curl_max_size_err, callback_detect_tenant_id_err, \
callback_detect_client_id_e... | wazuh/wazuh-qa | tests/integration/test_office365/test_configuration/test_invalid.py | test_invalid.py | py | 9,169 | python | en | code | 29 | github-code | 21 | [
{
"api_name": "pytest.mark.tier",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "wazuh_testing.tools.monitoring.FileMonitor",
"line_number": 21,
"usage_type": "call"
},
{
"api_... |
8175738829 | import geopandas as gpd
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
import shapely.geometry as geom
import h5py as h5
import tqdm
__all__ = ['Segment', 'KSegment', 'Roadnetwork', 'kseg_flattening', 'get_seg_id','k_segments', 'k_segments_strict_bfs', 'k_segments_semi_strict_bfs', 'k_segment... | JungHoonJung/complecity | taxidata/core/network/ksegment.py | ksegment.py | py | 23,376 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.empty",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.empty",
"line_nu... |
74447050931 | import pylustrator
pylustrator.start()
import os
from copy import deepcopy
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
import tensorflow.keras as keras
import tensorflow_addons as tfa
from tf_spiking import DenseLIF, DenseLIFNoSpike, IntensityToPoissonSpiking
from tf_spiking.helper impor... | andistoll/coincidence_detection_and_integration_behavior_in_SNNs | plots/plot_measures_vs_decay.py | plot_measures_vs_decay.py | py | 15,634 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pylustrator.start",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_num... |
19924644788 | from fastapi import FastAPI, Depends
from fastapi.middleware.cors import CORSMiddleware
from app.services.dependencies import get_token_header
from app.user_stocks import router as user_stocks_router
from app.finance import router as stocks_router
app = FastAPI()
origins = [
"http://localhost:4200",
]
app.add_m... | StephaneConq/crousorama-back-v2 | main.py | main.py | py | 1,070 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "app.services.dependencies",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "app.services.dependencies.add_middleware",
"line_number": 14,
"usage_type": "call"
},
{
"... |
9146463165 | # nn for dq learning
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torchvision.transforms as T
# if gpu is to be used
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class LinearNN(nn.Module):
def __init__(self, outputs):
sup... | k4ntz/MOC | src/dqn/dqn_networks.py | dqn_networks.py | py | 3,325 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "torch.device",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module"... |
12497546628 | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect, Http404
from django.urls import reverse
from django.contrib.auth.decorators import login_required
from .models import Topic, Entry
from .forms import TopicForm, EntryForm
from django.db.models import Q
# methods
def ... | thinkingquietly/gratitudejournal | journals/views.py | views.py | py | 3,531 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.http.Http404",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "m... |
29148240520 | from shapely.geometry import shape
import pandas as pd
import fiona
import rtree
def intersection_shape_idx(filename1, filename2):
result = pd.DataFrame({'nome': [],
'Class_Name': [],
'geometry': [],
'int_area_m': [],
... | diogocaribe/vector | intersection.py | intersection.py | py | 2,622 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "fiona.open",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "fiona.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "rtree.index.Index",
"line_n... |
5977164172 | import os
import torch
from transformers import MBart50Tokenizer, MBartForConditionalGeneration
from transformers.adapters import AdapterConfig
from .vgamt import VGAMT
from logging import getLogger
logger = getLogger()
xlm_model = "xlm-mlm-100-1280"
mbart_model = "facebook/mbart-large-50"
mbart_langs = {'cs': 'cs_... | MatthieuFP/VGAMT | src/model/model.py | model.py | py | 3,085 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "transformers.MBartForConditionalGeneration.from_pretrained",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "transformers.MBartForConditionalGeneration",
"line_number": 18,
... |
363639893 | # -*- coding: utf-8 -*-
"""
# @file name : cross_entropy.py
# @author : zz0320
# @date : 2022-4-21
# @brief : 浮点数形式下的CE Loss
"""
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
class CrossEntropyLossFloat(nn.Module):
"""
浮点类... | zz0320/Portrait_Seg_Flask | losses/cross_entropy.py | cross_entropy.py | py | 1,881 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.nn.functional.log_softmax",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.n... |
44925192656 | import qrcode
import image
qrc=qrcode.QRCode(
version=10,
box_size=10,
border=4
)
data=input()
qrc.add_data(data)
qrc.make(fit=True)
img=qrc.make_image(fill="black",back_color="white")
img.save("test.png")
| SatyamSarmah/QR-Code-Detector | QR Code Generator.py | QR Code Generator.py | py | 234 | python | ja | code | 0 | github-code | 21 | [
{
"api_name": "qrcode.QRCode",
"line_number": 3,
"usage_type": "call"
}
] |
25518862935 |
import matplotlib.pyplot as plt
import numpy as np
from sklearn.metrics import confusion_matrix
import os
from six.moves import cPickle as pickle
from tqdm import tqdm
from Phonological import Phonological
Phon=Phonological()
def test_labels(directory):
file_list = os.listdir(directory)
file_list.sort()
... | jcvasquezc/phonet | phonet/train/utils.py | utils.py | py | 4,079 | python | en | code | 32 | github-code | 21 | [
{
"api_name": "Phonological.Phonological",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "six.moves.cPickle.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "six.moves... |
37959332745 | import requests
proxies = {
"http": "http://180.148.128.125:80",
"https": "http://180.148.128.125:80",
}
def telegram_bot_sendtext(bot_message, bot_chatID="-874978660"):
try:
bot_token = ""
bot_message = bot_message.replace("_", "\\_")
command = (
"https://api.telegram... | dangcaptkd2/text_summarize | utils/telegram_notify.py | telegram_notify.py | py | 919 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 30,
"usage_type": "call"
}
] |
70623328374 | import logging
class VisualizationComponents():
# https://plot.ly/python/v3/fft-filters/
# http://scipy-lectures.org/intro/scipy/auto_examples/plot_fftpack.html
# https://dsp.stackexchange.com/questions/724/low-pass-filter-and-fft-for-beginners-with-python
def __init__(self, cfg):
self.cfg = ... | vamseeachanta/aceengineercode | common/visualization_components.py | visualization_components.py | py | 10,381 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.info",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "common.database.Database",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "common.data.SaveData",... |
4439210645 | import os
import json
import shutil
def create_result_dir(path, args=None, overwrite=True):
if overwrite and os.path.exists(path):
shutil.rmtree(path)
assert not os.path.exists(path), "Out path exists, choose different dir"
os.makedirs(path)
if args is not None:
with open(os.path.join(... | AtomScott/Crosslingual-audio-emotion-recognition-with-RAVDESS-and-XperDES | tools/utils.py | utils.py | py | 405 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "shutil.rmtree",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_num... |
262173172 | import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn import svm
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import confusion_matrix
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.... | Stautis/detecting-inosine-master-thesis | experiment1/classification/homopolymer_classifier.py | homopolymer_classifier.py | py | 3,944 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 28,
"usage_type": "call"
}... |
39420457440 | from functools import partial
import pytermgui as ptg
import routes
import session
from src.api.auth.service import getOneUser
from src.api.file_crypto.service import getAllFiles
from src.components import ConfirmModal
from src.components.layouts.AppShell import AppShell
# from src.components.modules.foot... | DuckyMomo20012/file-crypto | src/pages/dashboard/index.py | index.py | py | 5,495 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "src.api.auth.service.getOneUser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "session.user",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "src.api.file_crypto.service.getAllFiles",
"line_number": 24,
"usage_type": "call"
},
... |
18658886717 | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 9 14:15:10 2020
Week 1
Remember to check sizes of variables if you're having trouble with doing some-
thing that you found online
@author: John Stout
"""
#------------------------------------------------------------------------------
# Extracting & Visu... | JohnStout/CodingClub | Week 1/Output/Week1Python_JS.py | Week1Python_JS.py | py | 3,076 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.chdir",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "scipy.io.loadmat",
"line_numbe... |
6899377044 | import cv2
import numpy as np
def nothing(x):
pass
'''
cv2.namedWindow("Tracking")
cv2.createTrackbar("LH", "Tracking", 0, 255, nothing)
cv2.createTrackbar("LS", "Tracking", 0, 255, nothing)
cv2.createTrackbar("LV", "Tracking", 0, 255, nothing)
cv2.createTrackbar("UH", "Tracking", 255, 255, nothing)
c... | ronggurmahendra/THT | Draft3.py | Draft3.py | py | 2,236 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_nu... |
6226225979 | import time
import torch
from transformers import BertTokenizer, AlbertTokenizer
from ner.bert_for_ner import BertCrfForNer
from ner.albert_for_ner import AlBertCrfForNer
class NER_predict():
def __init__(self):
self.device = "cuda" if torch.cuda.is_available() else 'cpu'
self.label2idx = {"O": 0,... | wangweichang0820/TCM_KBQA | ner/demo_eval.py | demo_eval.py | py | 3,202 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "transformers.BertTokenizer.from_pretrained",
"line_number": 18,
"usage_type": "call"
},
{
... |
24061011972 | import random
import matplotlib.pyplot as plt
import numpy as np
# ## Limits
# | Control | type | Limit |
# |------------------|-------|-----------------------------------------|
# | Pitch | float | Between -1.0 and 1.0 |
# | Yaw | ... | snlpatel001213/AirControl | Python/src/airctrl/sample_generator.py | sample_generator.py | py | 4,259 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "random.choices",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "random.choices",
"line_n... |
34373172787 | import os
from pathlib import Path
from django.utils.translation import gettext_lazy as _
from dotenv import load_dotenv
#Load environment variables
load_dotenv()
EMAIL_USE_TLS=os.getenv('EMAIL_USE_TLS')
EMAIL_HOST=os.getenv('EMAIL_HOST')
EMAIL_PORT=os.getenv('EMAIL_PORT')
EMAIL_HOST_USER=os.getenv('EMAIL_HOST_US... | gros-pataplouf/portfolio | portfolio/portfolio_core/settings_dev.py | settings_dev.py | py | 6,047 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": ... |
25339972643 | """
Serializer for Publisher Api's
"""
from rest_framework import serializers
from core.models import Publisher
import os
from django.core.files.uploadedfile import UploadedFile
class PublisherSerializer(serializers.ModelSerializer):
"""Serializer for the publisher model."""
class Meta:
... | samKenpachi011/bwhistory-app-api | app/publisher/serializers.py | serializers.py | py | 1,950 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "core.models.Publisher",
"line_number": 14,
"usage_type": "name... |
21072007799 | from __future__ import division
import random
random.seed()
import numpy as np
import torch
from .thinplatespline.batch import TPS
from .thinplatespline.utils import (TOTEN, TOPIL, grid_points_2d, noisy_grid, grid_to_img)
class JointRandomTPS_TEN(object):
def __init__(self, margin_rate=0.25, num_anchor=(4, 4),... | lmm077/SWEM | datasets/data_transform/vos_transforms.py | vos_transforms.py | py | 3,227 | python | en | code | 24 | github-code | 21 | [
{
"api_name": "random.seed",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "thinplatespline.utils.grid_points_2d",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "thinplatespline.utils.noisy_grid",
"line_number": 23,
"usage_type": "call"
},
{
"... |
31628934401 | #! /usr/bin/python3
# Minecraft Cave-Spider XP Bot
# Coded by Nullbyte (Warren Hood)
# Created: 11:15PM Fri, 21 December 2018
# Updated: 12:39PM Sat, 22 December 2018
import pyautogui as pg
import time
# All intervals/durations below are in seconds
# INTERVALS AND DURATIONS
WALK_DURATION = 2 #Time to move horizon... | WarrenHood/MCXPBot | mcxpbot.py | mcxpbot.py | py | 4,076 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyautogui.press",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pyautogui.keyDown",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_n... |
71776527094 | import warnings
from collections import OrderedDict
import flwr as fl
import torch
from tqdm import tqdm
from model import SimpleCNN
from cifar_data import load_data
# Define Flower client
class FlowerClient(fl.client.NumPyClient):
def __init__(self, net):
self.net = net
def get_parameters(self, conf... | algorythmist/federated-learning | flower/client.py | client.py | py | 2,447 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flwr.client",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "collections.OrderedDict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn.CrossE... |
1429057602 | import os
from pathlib import Path
from typing import List
import numpy as np
import pandas as pd
import csv
import eccpy
def aaa(df_or_series):
""" Function for use in debugging.
Saves pandas Series or Dataframes to a user-defined csv file.
"""
# convert any series to dataframe
if isinstance(d... | teese/eccpy | eccpy/tools.py | tools.py | py | 25,007 | python | en | code | 39 | github-code | 21 | [
{
"api_name": "pandas.Series",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "csv.QUOTE_NONNUMERIC",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.min",
"line_number": 148,
"usage_type": "call"
},
{
"api_name": "numpy.max",
... |
15289938791 | """
A class to handle the QMC samples of the DLA parameters:
theta = (z_dla, logNHI) = (redshift of DLA, column density of DLA)
"""
import numpy as np
import scipy.stats as stats
from scipy.integrate import quad
import h5py
from .set_parameters import Parameters
from .model_priors import PriorCatalog
class DLASamples... | jibanCat/gpy_dla_detection | gpy_dla_detection/dla_samples.py | dla_samples.py | py | 4,005 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "set_parameters.Parameters",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "model_priors.PriorCatalog",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "set_parameters.Parameters",
"line_number": 61,
"usage_type": "name"
},
{
"api... |
5980357376 | from multiprocessing import Process, Queue
from datetime import datetime
keep_processing = True
def loop_a(q):
try:
while keep_processing:
q.put([datetime.now().strftime('%Y-%m-%d %H:%M:%S'), 'hello'])
except KeyboardInterrupt:
return "KeyboardInterrupt loop_a"
def loop_b(q):
t... | imyoungyang/video-streaming | others/multi-processes-upload.py | multi-processes-upload.py | py | 765 | python | en | code | 24 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "multiprocessing.Queue",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "multiproc... |
29859907016 | import os
from collections import defaultdict
import numpy as np
import matplotlib
matplotlib.use('pdf')
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from matplotlib import rcParams
### Text ###
rcParams['font.family'] = 'serif'
rcParams['font.serif'] = ['Minion Pro']
rcParams['font.size'] = ... | chrisjbillington/thesis | figures/software/repo_stats/generate_plots.py | generate_plots.py | py | 5,057 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.rcPa... |
19939445075 | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
import os
import sys
with open('README.rst') as f:
readme = f.read()
with open('LICENSE') as f:
license = f.read()
with open('tools/pip-requires') as f:
pip_requires = f.read().spl... | cgmcintyr/pycadvisor | setup.py | setup.py | py | 1,467 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "setuptools.command.test.test",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "setuptools.command.test.test.initialize_options",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "setuptools.command.test.test",
"line_number": 23,
"usage_typ... |
15315157629 | import argparse
import collections
import io
import os
import sys
import time
import ijson
from ijson import compat
_benchmarks = collections.OrderedDict()
def benchmark(f):
_benchmarks[f.__name__] = f
return f
@benchmark
def long_list(n):
return b'[' + b','.join([b'1' for _ in range(n)]) + b']'
@bench... | ajmyers/Sublime-TM1 | include/ijson/benchmark.py | benchmark.py | py | 8,357 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "collections.OrderedDict",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "ijson.get_backend",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "col... |
34457168035 | from __future__ import unicode_literals
from django.shortcuts import render, redirect
from django.http import HttpResponse
from student.models import *
from .forms import *
from alumni.urls import *
from django.contrib.auth.decorators import login_required
from .filters import studentfilter
# Create your vie... | hariyanganesh/Alumini | alumni/student/views.py | views.py | py | 1,803 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 30,
"usage_type": "call"
},
{
"api_nam... |
15134413927 | # coding: utf-8
import sys
sys.path.append('..')
import numpy as np
import matplotlib.pyplot as plt
from common.optimizer import SGD
from dataset import ptb
from rnn import TimeRNN
from common.time_layers import TimeAffine, TimeEmbedding, TimeSoftmaxWithLoss
class SimpleRNNlm:
def __init__(self, vocab_size, wordvec... | miyamotononno/dl_from_scratch | DLfromS2/chapter5/simple_rnnlm.py | simple_rnnlm.py | py | 3,406 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_... |
41569888491 | import copy
import json
import logging
import os
import traceback
import cluster_state
import csu_http
import dao
import database_state
import dbapi
import general_task_mgr
import ha_mgr
import helpers
import long_term_task
import node_state
import pg_db_lib
import pg_helpers
import polar_lib
import rpc_utils
import t... | csudata/clup | lib/ui_req_handler_ha.py | ui_req_handler_ha.py | py | 71,134 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "csu_http.MANDATORY",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "csu_http.INT",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "csu_http.MANDATORY",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "csu... |
41798780686 | import random
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from typing import List, Tuple
import numpy as np
from srl.base.define import EnvObservationTypes, RLTypes
from srl.base.rl.algorithms.discrete_action import DiscreteActionWorker
from srl.base.rl.base import RLParameter
from sr... | pocokhc/simple_distributed_rl | srl/algorithms/rainbow/rainbow.py | rainbow.py | py | 17,839 | python | en | code | 25 | github-code | 21 | [
{
"api_name": "srl.base.rl.config.RLConfig",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "srl.rl.memories.priority_experience_replay.PriorityExperienceReplayConfig",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "srl.rl.models.image_block.ImageBlockConfig"... |
73247424374 | import base64
import io
import xlwt
from odoo import _, fields, models
from odoo.tools import format_date
class StockPickingReport(models.TransientModel):
"""Stock Picking Report."""
_name = "stock.picking.xls.report"
_description = "Stock Picking XLSX reports"
name = fields.Char(default="Genric R... | JayVora-SerpentCS/fleet_management | fleet_operations/report/parts_received.py | parts_received.py | py | 6,898 | python | en | code | 20 | github-code | 21 | [
{
"api_name": "odoo.models.TransientModel",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Char",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "odoo.fie... |
74546425332 | import time
import warnings
from tensorboardX import SummaryWriter
from torch import optim
from torch.backends import cudnn
from C2R import C2R
from data_utils import *
from models.C2PNet import *
from option import model_name, log_dir
warnings.filterwarnings('ignore')
print('log_dir :', log_dir)
print('model_name:... | YuZheng9/C2PNet | main.py | main.py | py | 6,903 | python | en | code | 82 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "option.log_dir",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "option.model_name",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "time... |
30622766629 | import os, json, math
from PyQt4 import QtCore, QtGui
from qgis import core as QgsCore, gui as QgsGui, utils as QgsUtils
from apiqtcatalog import API_Catalog
from legendlayercatalog import ( DialogCatalogSetting, LegendCatalogLayer )
from legendlayerraster import LegendRasterGeom
from messagebarcancel import MessageB... | lmotta/utils_catalog | catalogimage.py | catalogimage.py | py | 24,349 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt4.QtCore.QObject",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtCore",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PyQt4.QtCore.pyqtSignal",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PyQt4.... |
70611351092 | import RPi.GPIO as GPIO
import numpy as np
import cv2
from time import sleep
# initialize
GPIO.setwarnings(False)
GPIO.setmode(GPIO.BOARD)
GPIO.setup(0o3, GPIO.OUT)
GPIO.setup(0o5, GPIO.OUT)
cam = cv2.VideoCapture(0) #starts cam capturing
cv2.namedWindow("test")
img_counter = 0 #picture_name counter
# setup frequency... | wild-radio/embarcados | both.py | both.py | py | 1,606 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "RPi.GPIO.setwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.setmode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_numb... |
8641286545 | # -- coding: utf-8 --
# @Time : 2022/4/14 11:15
# @Author : codeking
# @File : 多元线性拟合.py
import pandas
from sklearn import linear_model
# -javaagent:C:\\All_Softwares\\Develop_Tools\\JetBrains\\IntelliJ_IDEA_2021.3.3\\ja-netfilter\\ja-netfilter.jar
if __name__ == '__main__':
df = pandas.read_csv('cars.csv')
X ... | codeking01/python_project | Src/Python_project/Python_Task/Task/2022_April/多元线性拟合.py | 多元线性拟合.py | py | 956 | python | zh | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model",
"line_number": 15,
"usage_type": "name"
}
] |
3686717944 | import pygame
import sys
import random
import unicodedata
from grafos import grafo
from win_arbol import arbol
class barajas():
#Se crea la clase nodo
class _Nodo:
#Se hace el metodo incializador de la clase nodo
def __init__(self, valor):
self.valor = valor
self.nodo_s... | Jassy0205/TAD_2.0 | menu_principal.py | menu_principal.py | py | 43,985 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_number": ... |
20788086364 | # -*- coding: utf-8 -*-
# @File : crawl_proxy_ip.py
# @Author: LaoJu
# @Date : 2019/2/12
# @Desc :
import requests
import re
from scrapy.selector import Selector
import MySQLdb
conn = MySQLdb.connect(host="118.24.117.85", user="root", passwd="616632", db="article_spider", charset="utf8")
cursor = conn.cursor()
d... | LaoJu/ArticleSpider | tools/crawl_proxy_ip.py | crawl_proxy_ip.py | py | 3,777 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "MySQLdb.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 3... |
21421376929 | """История пользовательских запросов о курсах доллара"""
from aiogram import Router
from aiogram.types import Message, CallbackQuery, InlineKeyboardMarkup
from aiogram.filters import Command, StateFilter
from aiogram.fsm.state import default_state
from database import UserCrud
from filters import IsPaginatorBtn, IsUs... | YuryRass/DollarRateBot | handlers/user_history.py | user_history.py | py | 1,805 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "aiogram.Router",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "aiogram.types.Message",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "aiogram.types.CallbackQuery",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "data... |
37849422036 | #!/usr/bin/python3.6
import random
from termcolor import cprint
import nmap
import os
def genip():
a = random.randint(1, 255)
b = random.randint(1, 255)
c = random.randint(1, 255)
d = random.randint(1, 255)
ip = str(a) + '.' + str(b) + '.' + str(c) + '.' + str(d)
return ip
def ifhostup(host):
... | sanctuss/pentest-tools | randomftp-anon.py | randomftp-anon.py | py | 1,142 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.randint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line... |
1458698627 | """
Script to read LEPLAC bathymetry file and convert to MOHID standards
Data source: https://www.marinha.mil.br/dhn/sites/www.marinha.mil.br.dhn/files/DTM_BR_LEPLAC_FEV23_1000m_LatLongProf.zip
Author: Douglas F Rodrigues
"""
import pandas as pd
import geopandas as gpd
from shapely import geometry
# Define file name
... | dougfraga/modelling-tools | read_leplac_bat.py | read_leplac_bat.py | py | 1,924 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "geopandas.GeoDataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "geopandas.points_from_xy",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "shape... |
41019519790 | import numpy as np
import matplotlib.pyplot as plt
import sys
altitude = np.loadtxt("Telemetry/altitude.txt")
desiredVelocity = np.loadtxt("Telemetry/targetVel.txt")
velocity = np.loadtxt("Telemetry/velocity.txt")
#simulationtime = np.loadtxt("Telemetry/simtime.txt")
#fig, ax = plt.subplots()
#ax.plot(altitude, desir... | TG49/Mars-Lander | Lander/Lander/Visualise Telemetry.py | Visualise Telemetry.py | py | 837 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.loadtxt",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
... |
31355641166 | from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='gpt4pandas',
version='0.2',
packages=find_packages(),
license='Apache License 2.0',
description='A tool that uses the GPT4ALL language model and the Pandas library to answer... | ParisNeo/gpt4pandas | setup.py | setup.py | py | 665 | python | en | code | 23 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 9,
"usage_type": "call"
}
] |
19443444047 | #! /usr/bin/python3
# -*- coding-utf-8 -*-
"""
This script transform a md into a plain html in the context of a
documentation for Kit&Pack.
"""
import argparse
from lib.geoReader import geoReader
print("---------------------------- geo --")
print("-- by antoine.delhomme@espci.org --")
print("------------------------... | a2ohm/geo-1 | geo.py | geo.py | py | 767 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "lib.geoReader.geoReader",
"line_number": 31,
"usage_type": "call"
}
] |
7328894630 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.collections as mc
def gen_data(depth, n_dim, depth_labels = None):
def helper(depth, sigma, offset, path):
if depth == 0:
x = np.random.normal(offset, sigma, offset.shape)
y = 0
if depth_labels is not ... | aleveren/ucsd-research | hier-clust/notebooks/gen_data_util.py | gen_data_util.py | py | 1,719 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.normal",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",... |
26969442835 | from collections import defaultdict, deque
import functools
import math
import re
def part1(data):
lines = parse_data(data)
points = defaultdict(int)
for p1, p2 in lines:
x1, y1 = p1
x2, y2 = p2
if x1 == x2:
for y in range(min(y1, y2), max(y1, y2) + 1):
... | hckhilliam/programming | AdventOfCode/2021/05.py | 05.py | py | 1,432 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 25,
"usage_type": "call"
}
] |
14962646664 | # In this challenge, your goal is to send a GET request to /pentesterlab with the Accept-Language set to key-please
import requests
url = 'http://ptl-94af91fc-97ce22a2.libcurl.so/pentesterlab'
# Here I create a custom header as the payload.
payload = {'Accept-Language': 'key-please'}
# Set the 'headers' value as th... | morellanthony/PL-http-badge | http_05.py | http_05.py | py | 398 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
}
] |
1553230523 | import pandas as pd
import numpy as np
from utils.functions_ZZ_extraction import load_ZZ_output
def load_clustering_results(path):
output = pd.read_pickle(path)
return output['dfParam'], output['pca_result']
def reassign_bout_cluster(id, df_bout_all, df_clustering):
start, end = df_bout_all.BoutStart[id... | wyartlab/Carbo-Tano_Lapoix_2023 | SCAPE/utils/boutClustering.py | boutClustering.py | py | 3,058 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_pickle",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
34223832054 | # https://github.com/pengzhenghao/use-ray-with-slurm/blob/main/launch.py
# Usage: python using_sbatch_and_ray.py --num-cpus 2 --command "python ray_light.py" --priority -1
import argparse
import subprocess
import sys
import time
from pathlib import Path
template_file = Path(__file__) / 'template.sh'
NUM_CPUS = "{{... | tishina26/test_task_ML_cnn_ray_cluster | using_sbatch_and_ray.py | using_sbatch_and_ray.py | py | 2,098 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "time.localtime",
... |
17647621659 | import pyaes
import rsa
key = "This_key_is__a__complete_mystery"
#ask for the path of the file to be encrypted
path = input("Type the path to the file to be encrypted: ")
#read the file
with open(path, 'r') as content_file:
content = content_file.read()
#set encode the key
key = key.encode('utf-8')
aes = pyaes.A... | katherinespiess/bcc_2019_2_SisSeg | exercicios_8/AesEncrypt.py | AesEncrypt.py | py | 1,008 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyaes.AESModeOfOperationCTR",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rsa.PublicKey.load_pkcs1",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "rsa.PublicKey",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name"... |
14405179132 | """Helpers for switch_manager integration."""
import json, pathlib, os, shutil
from homeassistant.core import HomeAssistant
from homeassistant.util.yaml.loader import _find_files, load_yaml
from .const import (
LOGGER,
DOMAIN,
BLUEPRINTS_FOLDER,
CONF_BLUEPRINTS,
CONF_MANAGED_SWITCHES
)
from homea... | Sian-Lee-SA/Home-Assistant-Switch-Manager | custom_components/switch_manager/helpers.py | helpers.py | py | 3,537 | python | en | code | 140 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_n... |
16378068082 | from random import choice
from string import ascii_lowercase as letters
from django import forms
from django.contrib import admin
from django.core.exceptions import ValidationError
from .models import Variant
class VariantForm(forms.ModelForm):
class Meta:
model = Variant
fields = ('problems', '... | Luganskaya-Svetlana/Physalis | physalisproject/variants/admin.py | admin.py | py | 4,650 | python | ru | code | 3 | github-code | 21 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.Variant",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.core.e... |
15608391927 | """ETL. Модуль main.
Приложение по регулярному просеиванию данных в БД PostgreSQL для
выявления измененных, с целью обновления этих данных в БД в ElasticSearch (ES)
ES содержит эту же информацию для обеспечения (предоставления) функции полнотекстового поиска.
"""
import configparser
import logging
import os
from cont... | NimblePython/Async_API_sprint_1 | postgres_to_es/main.py | main.py | py | 3,251 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dotenv.find_dotenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "backoff_dec.backoff",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "psycopg2.co... |
21113600664 | #!/usr/bin/python3
import sys
from itertools import permutations, tee
def pairwise(iterable):
# pairwise('ABCDEFG') --> AB BC CD DE EF FG
a, b = tee(iterable)
next(b, None)
return zip(a, b)
ds = {}
cities = set()
for l in sys.stdin:
[frm, zz, to, zz, dist] = l.strip().split(' ')
ds[frm, to] ... | jjpp/aoc | 2015/09/shortest.py | shortest.py | py | 677 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.tee",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "itertools.permutations",
"line_number": 26,
"usage_type": "call"
}
] |
28699833756 | import requests
import logging
from django.http import JsonResponse
from django.core.exceptions import ImproperlyConfigured
from sparrow_django_common.utils.validation_data import VerificationConfiguration
from sparrow_django_common.utils.consul_service import ConsulService
from sparrow_django_common.utils.get_settin... | hanguangbaihuo/sparrow_django_common | sparrow_django_common/middleware/permission_middleware.py | permission_middleware.py | py | 3,504 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sparrow_django_common.base_middlware.base_middleware.MiddlewareMixin",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sparrow_django_common.utils.validation_data.VerificationCo... |
20677484238 | import numpy as np
import random
import matplotlib.pyplot as plt
from keras.models import Sequential, Model
from keras.layers import Input, Dense, Dropout, Lambda
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
from metrics import *
from data_encode import *
# Functi... | mehmetalixk/topify | code/siamese_network.py | siamese_network.py | py | 5,199 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.randrange",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "keras.layers.Den... |
10347919212 | import logging
import os
import sys
from torch import nn
from fairseq import utils
from fairseq.models import (
FairseqEncoderModel,
FairseqEncoder,
register_model,
register_model_architecture,
)
from fairseq.modules.quant_noise import quant_noise as apply_quant_noise_
try:
from transformers impo... | li-aolong/TemplateGEC | fairseq-0.12.2/fairseq/models/huggingface/hf_bert.py | hf_bert.py | py | 10,205 | python | en | code | 18 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "fairseq.models.FairseqEncoderModel",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "torch.nn.ModuleDict",
"line_number": 45,
"usage_type": "call"
},
{
"api_name... |
18423694727 | from selenium import webdriver
import time
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument('--headless')
chrome_options.add_argument('--no-sandbox')
chrome_options.add_argument('--disable-dev-shm-usage')
options = webdriver.ChromeOptions()
def 키워드크롤링():
driver = webdriver.Chrome('chromedri... | ojc1234/pythonproject | keywordcloring.py | keywordcloring.py | py | 918 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 10,
"usage_type": "call"
},
{
... |
73365754614 | from django.http import HttpRequest, HttpResponse
from django.shortcuts import render
from django.templatetags.static import static
# Create your views here.
def stack_view(request: HttpRequest) -> HttpResponse:
context = {
"cards": {
"django": {
"type": "Web Framework",
... | baseplate-admin/CoreProject | backend/django_core/apps/pages/views/stack.py | stack.py | py | 1,031 | python | en | code | 99 | github-code | 21 | [
{
"api_name": "django.http.HttpRequest",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.templatetags.static.static",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.templatetags.static.static",
"line_number": 20,
"usage_type": "call"
},... |
17544901317 | import weather
import requests
BASE_URL = "http://weather-api.eba-jgjmjs6p.eu-west-2.elasticbeanstalk.com/api"
candidate_number = 89
def test_get_weather_for_city_check_status_code_equals_200():
city = 'bath'
url = BASE_URL + '/weather/'+str(candidate_number)+'/'+city.lower()+'/'
response = requests.get(ur... | Thoma1999/WeatherChallenge | test_weather.py | test_weather.py | py | 1,198 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "weather.make_get_request",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "weather.make_get_re... |
72549508213 | import json
import unittest
from celery import group
from celerysetup import app
from worker import word_count
from collector import reduce_word_count, top_ten
class TestCelery(unittest.TestCase):
def setUp(self):
app.conf.CELERY_ALWAYS_EAGER = True
def test_single_word(self):
result = word_... | fboxwala/interview201510 | test_celery.py | test_celery.py | py | 922 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "celerysetup.app.conf",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "celerysetup.app",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "work... |
38009423325 | import pytest
from django.urls import reverse
pytestmark = [pytest.mark.django_db]
def test_project_list_api(api, project):
url = reverse('projects')
response = api.get(url)
data = response.data
assert response.status_code == 200
assert len(response.data) > 0
def test_simple_t... | pykulytsky/kollox | backend/kollox/todo/tests/test_base_api.py | test_base_api.py | py | 1,230 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pytest.mark",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.urls.reverse",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.urls.re... |
10034991514 | #! /usr/bin/python3
import configparser
import logging
import os
config = dict()
parser = None
def _create(configfile):
with open(configfile,"w+") as _:
pass
def _save(configfile = "trading.conf"):
with open(configfile, 'w+') as conf:
parser.write(conf)
return True
return False
d... | jiraky/cryptopia-api-python | configuration.py | configuration.py | py | 2,031 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_... |
22720891633 | from __future__ import annotations
from typing import * # NoQA
import collections
import hashlib
import io
import itertools
import os
import edgedb
from edb.common import binwrapper
from . import consts
class DumpBlockInfo(NamedTuple):
schema_object_id: bytes
schema_deps: List[bytes]
type_desc: bytes... | gm19900510/edgedb | edb/cli/dump/restore.py | restore.py | py | 5,601 | python | en | code | null | github-code | 21 | [
{
"api_name": "os.PathLike",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "edb.common.binwrapper.BinWrapper",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "edb.common.binwrapper",
"line_number": 46,
"usage_type": "name"
},
{
"api_name"... |
24197978872 | #!/usr/bin/env python3
from os.path import expanduser
import cv2
import numpy as np
import tf
from cv_bridge import CvBridge
from nav_msgs.msg import Odometry
from sensor_msgs.msg import Image, CameraInfo
import pybullet as pb
import pybullet_data
import rospy
from soccer_common.transformation import Transformation... | Vuwij/freehicle | freehicle_control/src/main.py | main.py | py | 4,900 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "rospy.init_node",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "rospy.Publisher",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sensor_msgs.msg.Image",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "rospy.Publi... |
11124823493 | import random
import numpy as np
import matplotlib.pyplot as pl
# Local imports
from ..model_components.phonological_level import MotorPhonemePrograms
from . import testutils
from ..model_components._parameters_lists import ParList, Target, WorkingParList, State
from ..model_components.vocal_tract import VocalTract
c... | Naeghil/HSFC | src/test/test_motion.py | test_motion.py | py | 7,095 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
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