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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
70850036705 |
# coding: utf-8
# In[3]:
import json
# In[4]:
with open('flight.json') as data_file:
data = json.load(data_file)
# In[5]:
ff = data["items"][0]['trips']["tripOption"][0]["slice"][0]["segment"][0]["flight"]
# In[6]:
str(ff['carrier'])+str(ff['number'])
# In[7]:
ll = data["items"][0]['trips'][... | Cong-Liu/Flight-Tickets-Shopping-Website | flightparser.py | flightparser.py | py | 1,366 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 64,
"usage_type": "call"
}
] |
71865396702 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('conteudo', '0003_imagem_title'),
]
operations = [
migrations.AlterField(
model_name='new',
name='tex... | chicosilva/csms | conteudo/migrations/0004_auto_20150515_2228.py | 0004_auto_20150515_2228.py | py | 423 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
26836881063 | from aiogram import Bot, Dispatcher, types
from config import Config
bot = Bot(Config.TOKEN)
dp = Dispatcher(bot)
@dp.message_handler()
async def echo(message: types.Message):
await message.answer(message.text)
| FCTL3314/FastApiTgBotWebhook | bot.py | bot.py | py | 218 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "aiogram.Bot",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "config.Config.TOKEN",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "config.Config",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "aiogram.Dispatcher",
... |
9622252878 |
import numpy as np
import cv2
import matplotlib.pyplot as plt
from timeit import default_timer as timer
# from calibration import load_calibration
from copy import copy
# left_lane = Lane()
# right_lane = Lane()
frame_width = 1920
frame_height = 1080
input_scale = 4
output_frame_scale = 4
N = 4 # buffer previous N... | qinggangwu/date_process | lane_detect_process/Lane-warpImage.py | Lane-warpImage.py | py | 2,609 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "numpy.floor",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_numbe... |
34383745920 | # coding: utf8
import csv
from datetime import datetime, timedelta
import os
class Plant:
"""Plant actions"""
def __init__(self, db_entry, log_filename="Default"):
self.log_filename = log_filename
self.id = db_entry[0]
self.type = db_entry[1]
self.temperature = db_entry[2]
... | rambobinator/PlantWatering | plant_class.py | plant_class.py | py | 1,236 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datet... |
39518732735 | import wizwalker
import asyncio
from threading import Event
from wizwalker import Keycode, HotkeyListener, ModifierKeys
xyz_list = []
run = True
async def startup():
listener = HotkeyListener()
p = wizwalker.WizWalker().get_new_clients()[0]
async def add_xyz():
global x... | milwrddraig/MillyWWBots | reagentReaderWriter/Writer.py | Writer.py | py | 1,316 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "wizwalker.HotkeyListener",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "wizwalker.WizWalker",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "wizwalker.Keycode.K",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "... |
37653946578 | from discord import Embed, message
from SnsInfo import SnsInfo
DOMAIN_TWITTER = "twitter.com"
DOMAIN_X = "x.com"
DOMAIN_INSTAGRAM = "instagram.com"
DOMAIN_WEVERSE = "weverse.io"
DOMAIN_H1KEY = "h1key-official.com"
DOMAIN_YEEUN = "yeeun.bstage.in"
DOMAIN_PURPLE_KISS = "purplekiss.co.kr"
DOMAIN_BSTAGE = [DOMAIN_H1KEY, ... | j19930307/SNS-Bot | discord_bot.py | discord_bot.py | py | 2,563 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "SnsInfo.SnsInfo",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "discord.Embed",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "discord.Embed",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "discord.Embed",
"line... |
42344523934 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 15 13:06:12 2022
@author: rodo
"""
import pickle
import numpy as np
import tokenizer_new as tk
import argparse
# ---------------------- HELPER FUNCTIONS -------------------------------------
# ---------------------- Create N-Grams ----------------... | rodosingh/Intro-NLP-IIITH | Assignments/Assignment-1/2021701010_Assignment1/language_model.py | language_model.py | py | 16,151 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "numpy.power",
"line_number": 278,
"usage_type": "call"
},
{
"api_name": "numpy.prod",
"line_number": 278,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 318,
"usage_type": "call"
},
{
"api_name": "tokenizer_new.Token... |
72117996064 | from jinja2 import Environment, FileSystemLoader, TemplateNotFound
from jinja2.ext import Extension
import re
import os
import pypandoc
import paramiko
import sys
from dotenv import load_dotenv
class RelativeInclude(Extension):
# This Jinja2 extension Created 2014 by Janusz Skonieczny
# Source https://gist.git... | MrJonesAPS/Slides | GenerateSlides.py | GenerateSlides.py | py | 7,053 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "jinja2.ext.Extension",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "paramiko.Transport... |
43527599384 | #!/usr/bin/env python
import os
activate_this = os.path.expanduser("~/PycharmProjects/DefensicsAutomation/venv/bin/activate_this.py")
execfile(activate_this, dict(__file__=activate_this))
from DefensicsScript import *
from threading import Thread
from datetime import datetime
import GlobalVariables
import GlobalFuncti... | drozenbx/DefensicsAutomation | Run.py | Run.py | py | 5,584 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.expanduser",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "GlobalFunctions.add_port",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "GlobalFunction... |
8083174847 | import json
import sys
from markov import Markov
from difflib import SequenceMatcher
def get_json_object(file, key):
with open(file, 'r') as jfile:
content = json.load(jfile)
return content[key]
return None
def load_quotes_to_model(file, model):
quotes = get_json_object(file, "Quotes")
... | aestuans/Inspirotron | io.py | io.py | py | 1,281 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "difflib.SequenceMatcher",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "markov.Markov",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_... |
32422076862 | import gc
import os
import shutil
from pathlib import Path
from typing import Dict
import torch
from tqdm import tqdm
# code taken from https://github.com/Lightning-AI/lit-llama
def convert_state_dict(state_dict: Dict[str, torch.Tensor]) -> Dict[str, torch.Tensor]:
converted = {}
converted["transformer.wte.... | Lightning-AI/Comparing_LLM_Blogpost | Llama/covert_llama_weights.py | covert_llama_weights.py | py | 4,452 | python | en | code | 8 | github-code | 7 | [
{
"api_name": "typing.Dict",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.cat",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_numb... |
71039981983 | # MiniLight Python : minimal global illumination renderer
#
# Harrison Ainsworth / HXA7241 and Juraj Sukop : 2007-2008, 2013.
# http://www.hxa.name/minilight
from .spatialindex import SpatialIndex
from .triangle import Triangle
from .vector3f import Vector3f, ZERO, ONE, MAX
import re
SEARCH = re.compile('(\(.+\))... | golemfactory/clay | golem/envs/docker/benchmark/cpu/minilight/src/scene.py | scene.py | py | 2,094 | python | en | code | 2,915 | github-code | 7 | [
{
"api_name": "re.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "vector3f.ZERO",
"line_number": 26,
"usage_type": "argument"
},
{
"api_name": "vector3f.MAX",
"line_number": 26,
"usage_type": "argument"
},
{
"api_name": "vector3f.Vector3f",
... |
36971838049 | from PIL import ImageFont, ImageDraw, Image
hangulJamosRange = (0x1100, 0x11ff)
hangulSyllablesRange = (0xAC00, 0xD7AF)
# germanUmlauts = [0x00C4, 0x00E4, 0x00D6, 0x00F6, 0x00DX, 0x00FC, 0x1E9E, 0x00DF]
print("""Amazfit Bip(米动手表 青春版) 한글 비트맵 이미지 생성기\n
©2018 Youngbin Han(sukso96100@gmail.com)\n
이 스크립트는 한글 자... | sukso96100/amazfit-bip-kr | ttf2bmp.py | ttf2bmp.py | py | 1,809 | python | en | code | 34 | github-code | 7 | [
{
"api_name": "PIL.Image.new",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_... |
42566295603 | from tkinter import *
from tkinter import ttk
from tkinter import messagebox
from IPython.display import Image
import ast
import os
import openpyxl
filepath = "D:\AppForm\data.xlsx"
def enter_data():
# User info
title = title_combobox.get()
name = en1.get()
contact = en3.get()
if name and co... | RimoGuin/ApplicationForm | appform_withexcel.py | appform_withexcel.py | py | 6,362 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "openpyxl.Workbook",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook"... |
36755349446 | import random
import pandas as pd
import numpy as np
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-path_to_csv', type=str)
parser.add_argument('-sample_type', type=str, choices=["balanced", "random"])
args = parser.parse_args()
lo_elbos = pd.read_csv(args.path_to_csv)['test_loss'].dr... | seblee97/inference_suboptimality | utils/local_optimisation_analysis.py | local_optimisation_analysis.py | py | 2,091 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"li... |
37025780529 | from django import forms
from listings.models import Listings
from categories.models import SubCategories, Categories
from general.util import rotate_image
from general.forms import PhotoInput
class ListingsForms(forms.ModelForm):
categories = forms.ModelChoiceField(queryset=Categories.objects.all(),
... | DevFamily99/villages-django | listings/forms.py | forms.py | py | 1,837 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "categories.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.forms... |
20208056488 | from pathlib import Path
import matplotlib.pyplot as plt
def set_matplotlib_dpi(dpi: int = 300):
plt.rcParams['figure.dpi'] = dpi
plt.rcParams['savefig.dpi'] = dpi
def save_figure(fig: plt.Figure, output_filepath: Path):
set_matplotlib_dpi()
output_filepath.parent.mkdir(parents=True, exist_ok=True)... | Xalanot/math_blog | math_blog/plotting/io.py | io.py | py | 459 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 8,
"usage_type": "attribute"
},
{
"ap... |
10409007940 | #Results from the scans will indicate just host up if it returns negative, but will state Vulnerable if targetable.
#This will create a directory in linux for the particular IP, and then create a total output file and vulnerability summary .txts
#version 1.1
import argparse
import os
import subprocess
from subp... | KennethCurtis/Python-Codes | smbvuln.py | smbvuln.py | py | 2,107 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
... |
22415981592 | """
Author: Reuben Ferrante
Date: 10/05/2017
Description: NN layer helper functions, normalization.
"""
import tensorflow as tf
import sklearn.preprocessing
import numpy as np
def layer(input_layer, num_next_neurons, is_output=False, activation=tf.nn.relu):
num_prev_neurons = int(input_layer.shape[1])
shap... | arex18/rocket-lander | control_and_ai/DDPG/utils.py | utils.py | py | 2,273 | python | en | code | 298 | github-code | 7 | [
{
"api_name": "tensorflow.nn",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.get_variable",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tensorflow.contrib.layers.xavier_initializer",
"line_number": 16,
"usage_type": "call"
},
... |
38790248305 | from numpy import where
from sklearn.datasets import make_classification
from matplotlib import pyplot
import sklearn
print(sklearn.__version__)
# 使用make _ classification()函数创建一个测试二分类数据集。
# 这将有助于了解，至少在测试问题上，群集的识别能力如何。该测试问题中的群集基于多变量高斯，并非所有聚类算法都能有效地识别这些类型的群集。
# 因此，本教程中的结果不应用作比较一般方法的基础。下面列出了创建和汇总合成聚类数据集的示例。
# 综合分类数据集
# 定... | fangyinjie/python_study | Python学习/QMDJ/聚类算法/2_聚类数据集.py | 2_聚类数据集.py | py | 1,501 | python | zh | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.__version__",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.make_classification",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 22,
"usage_type": "call"
},
{
"api_name... |
32225464763 | """
https://docs.djangoproject.com/en/2.2/topics/db/models/
External API response caching
"""
import json
import pprint
import requests
import time
import uuid
from django.conf import settings
from django.db import models
from ..fields import DateTimeFieldWithoutMicroseconds
class ExternalResponse(models.Model):... | AmalgamProjects/flixfinder-backend | src/ff_api/models/external.py | external.py | py | 1,525 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.db.models.Model",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.db.models.UUIDField",
"line_number": 21,
"usage_type": "call"
},
{
"api_name"... |
40017286488 | import webbrowser
import pyautogui as gui # pip install pyautogui
import time
import random
gui.FAILSAFE = False
random.seed()
#Change to your gmail acct url
url = 'https://mail.google.com/mail/u/2/#inbox'
# MacOS
# chrome_path = 'open -a /Applications/Google\ Chrome.app %s'
# Windows
chrome_path =... | josephfrench/holly | holly.py | holly.py | py | 1,392 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyautogui.FAILSAFE",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "webbrowser.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"li... |
5497735059 |
from tika import parser
import os
import re
raw = parser.from_file("report.pdf")
with open(f"out.csv", "w") as fh:
fh.write(raw["content"])
with open("out.csv") as fh:
lines = [line.strip() for line in fh.readlines() if line.strip()]
full_output = ""
output = ""
which = ""
file_idx = 0
for idx... | zhecht/fantasy | z.py | z.py | py | 1,063 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tika.parser.from_file",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tika.parser",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "re.search",
"line_number": 36,
"usage_type": "call"
}
] |
29856637258 | import os
import rsatool.rsatool as rsatool
import configparser
config = configparser.ConfigParser()
config.read('.env')
modulus = config['rsa_data']['MODULUS']
hex_start = config['rsa_data']['START_D']
publicExponent = config['rsa_data']['PUBLIC_EXP']
start_range = config['enum_var']['START']
end_range = config['en... | Altizo/privatEXp_GEN | keygen.py | keygen.py | py | 2,183 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rsatool.rsatool.RSA",... |
73838422624 | #!/usr/bin/env python
# download.py: download literally everything from S3: all buckets, all files
# use with caution
from boto.s3.connection import S3Connection
from cloudfile.config import config
from cloudfile.util import gen_md5
from os import makedirs, mkdir, remove
from os.path import dirname, isdir, isfile, jo... | ITPNYU/cloudfile | download.py | download.py | py | 1,623 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "boto.s3.connection.S3Connection",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cloudfile.config.config.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cloudfile.config.config",
"line_number": 13,
"usage_type": "name"
},
{
... |
3057369690 | import os
import sys
import requests
import click
import json
from tqdm import tqdm
from datetime import date
from ansimarkup import ansiprint as print
from app.export import export_date_medici
url_root = ''
@click.command()
@click.option('--api', default='http://localhost:5000', help="root url api\ndefault: http:/... | Miu-Catalin/get_medic_data | app/__init__.py | __init__.py | py | 5,076 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "app.export.export_date_medici",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "click.command",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "click.option",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "click.option... |
1028673967 | #!/usr/bin/env micropython
"""
MIT license
(C) Konstantin Belyalov 2017-2018
"""
import esp32
import uasyncio as asyncio
import neopixel
import logging
import machine
import network
import socket
from machine import Pin, I2C
import micropython
from time import sleep
import time
from ntptime import settime
import gc... | perdue12/JakeLights | AsyncTW/main.py | main.py | py | 6,392 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.basicConfig",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "neopixel.Neo... |
21143493376 | # Class for generating counterfactuals for a set of factuals.
# Heavily based on and inspired by mccepy/mcce.MCCE,
# modified for our case with three different generative models, where only MCCE samples conditionally from the latent distribution.
# Parts of the methods are simply copied from the file indicated above.... | alexaoh/tabular-diffusion-for-counterfactuals | ModifiedMCCE.py | ModifiedMCCE.py | py | 13,691 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "re.search",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
14533684467 | from requests import get
from bs4 import BeautifulSoup
import csv
from datetime import datetime
import time
import re
# Lista todas a votações da camara
dados_governismo = [['Data','votos_a_favor_gov','id']]
dados_prop = []
errors = ['n','id','tipo_do_erro']
# le os dados da planilha com todas as votacoes... | marcoaurelioguerrap/projetos | DataScraping/Governismo Camara/scrap camara.py | scrap camara.py | py | 5,154 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "csv.DictReader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 33,... |
3949621171 | from defenders.defender_base import DefenderBase
import sys
import numpy as np
import torch
import torchvision
import torchvision.transforms as transforms
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.utils.rnn as rnn_utils
import torch.optim as optim
import matplotlib.pyplot as plt
import time... | yishen734/ensemble-adversarial-training | defenders/fgsm_AT.py | fgsm_AT.py | py | 10,366 | python | en | code | 3 | github-code | 7 | [
{
"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.device",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random.see... |
14198973235 | # from pudb import set_trace; set_trace()
from typing import List
from collections import Counter
class Solution:
def largestWordCount(self, messages: List[str], senders: List[str]) -> str:
"""Use counter. Very straightforward.
O(N), 610 ms, faster than 53.30%
"""
counter = Counte... | FanchenBao/leetcode | LeetCode_2284.py | LeetCode_2284.py | py | 1,028 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 12,
"usage_type": "call"
}
] |
38495375884 | ##___________________Library_____________________##
import telebot
import time
import json
import requests
import pandas as pd
from datetime import datetime
import random
import numpy as np
import os
import sys
from flask import Flask, request
##___________________Bot_Confirmation______________________#... | loobiish/Telegram_Job_bot | job_bot.py | job_bot.py | py | 20,595 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "telebot.TeleBot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_numbe... |
1808553478 | from django.shortcuts import render
from django.contrib.auth.models import User
from .models import Chirp
# Create your views here.
from django.http import HttpResponse
def index(request):
all_chirps = Chirp.objects.order_by('-posted_date')
context = {
'all_chirps': all_chirps[:8]
}
if req... | PdxCodeGuild/class_orchid | code/jordyn/django/lab03/chirp/forum/views.py | views.py | py | 1,004 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "models.Chirp.objects.order_by",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Chirp.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.Chirp",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "... |
74728550622 | #! python3
"""
Puzzle link: https://adventofcode.com/2022/day/1
"""
import os
from collections import Counter
def main(filename):
"""Find the total calorie amount of the top three elves carrying the highest total calories."""
script_dir = os.path.dirname(__file__)
file_path = os.path.join(script_dir, fil... | kmcginn/advent-of-code | 2022/day01/calories2.py | calories2.py | py | 787 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
13707448277 | from flask import Flask, request
from flask_cors import CORS
import sys
import StoreManager
app = Flask(__name__)
CORS(app)
@app.route('/stores/',methods=['GET'])
def GetStores():
query = ''
alt = request.args.get("alt", '32.0879122')
lng = request.args.get("lng", '34.7724783')
chain= req... | lr185108/PayloadInStore | Python/StoreAPI.py | StoreAPI.py | py | 607 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.args",... |
7125534847 | import uuid
import json
class Assessment:
def __init__(self, email, startTime, deadlineTime, endTime):
self.email = email
self.assessment_key = str(uuid.uuid4()) #Create unique key
self.startTime = startTime
self.deadlineTime = deadlineTime
self.endTime = endTime
de... | elMolda/AssessmentsAPI | Code/Entities/Assessment.py | Assessment.py | py | 601 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "uuid.uuid4",
"line_number": 6,
"usage_type": "call"
}
] |
25948524710 | from flask import abort, current_app, g
from ...services.news import service as news_service
from ...util.framework.blueprint import create_blueprint
from ...util.templating import templated
blueprint = create_blueprint('news', __name__)
@blueprint.route('/', defaults={'page': 1})
@blueprint.route('/pages/<int:pag... | agreements/byceps | byceps/blueprints/news/views.py | views.py | py | 974 | python | en | code | null | github-code | 7 | [
{
"api_name": "util.framework.blueprint.create_blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.g.party",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "s... |
2455533304 | import matplotlib.pyplot as plt
import numpy as np
import sys
import os
fp = open("../aux/sym-op.dat", "r")
num_sym_op = np.int(fp.readline().strip())
sym_op = np.zeros((num_sym_op, 9))
for i in range(num_sym_op):
sym_op[i] = np.copy(np.array(fp.readline().split()).astype(np.double))
fp.close()
fp = open("../aux/... | tl578/EMC-for-SMX | cal-CC/cal-CC.py | cal-CC.py | py | 5,505 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.int",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.copy",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
... |
22415992405 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 14 00:42:08 2019
@author: Martin Kamp Dalgaard
"""
import numpy as np
import pandas as pd
from scipy.interpolate import InterpolatedUnivariateSpline
import scipy.special as scp_sp
from scipy import stats
from sklearn.linear_model import LinearRegression
impo... | mkdalgaard/Masters-Thesis-Software | library.py | library.py | py | 15,864 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.shape",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.random.multivariate_normal",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.r... |
18861060563 | def CPVALPSO(ParticleDirectory,Iteration,Parameter, VN,FileName,MaxB,MinB):
from RiverCon import RiverCon
from btn import btn
from dsp import dsp
from Pval import Pval
from rct import rct
from SWAT_edit import SWAT_edit
from collections import Counter
from DirSM import DirSM
from GWD... | Vahidr32/SWAT-MODFLOW-RT3D-calibration-code-with-MMPSO-approach- | CPVALPSO.py | CPVALPSO.py | py | 4,331 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.Counter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "DirSM.DirSM",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "GWDelay.GWDelay",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "btn.btn",
"line_n... |
70368775265 | import requests
from lxml import etree
import base64
import time
# 如果搜索结果多执行
def Multiple(Judge_page,coding,headers,Cookie,speed):
print("搜索结果有" + Judge_page + "页")
for all in range(1,int(Judge_page)):
time.sleep(speed)
print("现在提取是第"+str(all)+"页")
html = requests.get('https://fofa.s... | Zhao-sai-sai/Infiltration_script | fofa子域名探测/fofa.py | fofa.py | py | 2,373 | python | en | code | 17 | github-code | 7 | [
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number... |
8049447627 | """
Solver of Black-Scholes PDE using BSDE method or L2-projection of X_T to approximate the conditional expecation E(X_T | F_t)
"""
import torch
import torch.nn as nn
import numpy as np
import argparse
import tqdm
import os
import math
import pandas as pd
from lib.bsde_risk_neutral_measure import FBSDE_BlackScholes ... | msabvid/Deep-PDE-Solvers | pde_BlackScholes_exchange.py | pde_BlackScholes_exchange.py | py | 8,723 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "torch.randn",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.exp",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.ones",
"line_number": 27,
... |
71199728545 | # -*- coding: utf-8 -*-
"""
File: util.py
Purpose: This file contains some useful and essential function utilities.
This is the applications utilities.
"""
import re
import os
import shutil
import smtplib
import socket
import struct
import redis
import json
import pwd
import grp
import os
import hashlib
from date... | elysiaxx/gsm-backend | utils/util.py | util.py | py | 32,125 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "hashlib.sha224",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "hashlib.sha224",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
627651461 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
产生全部的网格
从左下开始
'''
from gridMap import varGlobal
import json
from gridMap import gridmap
import csv
# 纬度从上到下变小，经度从左往右变大
# 1存的是小值，2存的是大值
def generateGrid():
l = []
for i in range(1,varGlobal.COUNTCELL+1):
r = gridmap.getBord... | DoubleLingL/Mycode | GridMap/gridMap/DrawGuiYangGrid.py | DrawGuiYangGrid.py | py | 1,284 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "gridMap.varGlobal.COUNTCELL",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "gridMap.varGlobal",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "gridMap.gridmap.getBorderByGridId",
"line_number": 24,
"usage_type": "call"
},
{
... |
38130426425 |
from floodsystem.stationdata import build_station_list, update_water_levels
from floodsystem import flood
import matplotlib
from floodsystem.datafetcher import fetch_measure_levels
import datetime
from floodsystem.analysis import polyfit
def get_at_risk_towns(risk_thresholds,predictionAmount,N):
"""Print a l... | ashJA65/FloodWarning | Task2G.py | Task2G.py | py | 4,479 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "floodsystem.stationdata.build_station_list",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "floodsystem.stationdata.update_water_levels",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "floodsystem.flood.stations_highest_rel_level",
"line_n... |
41710095420 | # program to store the content thats loaded from various server
#into a local binary file knows as pickle
import pandas as pd
import quandl
import pickle
import matplotlib.pyplot as plt
from matplotlib import style
style.use('fivethirtyeight')
house_data_list = ['GICHSGFIN','GANESHHOUC','IBULHSGFIN']
#store the api ... | mon7792/DataAnalysisPythonPandas | resampling.py | resampling.py | py | 1,635 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.style.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame... |
5524457512 | import numpy as np
import subprocess
import tempfile
import sys, os
from ParamFunhouse import ParamFunhouse
import GA_Tuner as GT
import Repository as REPO
problemCard = sys.argv[1] #e.g. test1.wcard
timeout = sys.argv[2] #e.g. 2 (seconds)
timeoutIt = eval(timeout)/20
pf = ParamFunhouse()
def main():
repo = ... | joshrosie/HyperparameterOptimiser | src/wrapper.py | wrapper.py | py | 3,746 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "ParamFunhouse.ParamFunhouse",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Repository.Re... |
15882420967 | from django.conf.urls import url
from django.urls import path
from . import views
urlpatterns = [
url(r"^nosotros/$", views.nosotros, name = "nosotros"),
url(r"^contacto/$", views.contacto, name = "contacto"),
url(r"^login/$", views.ingresar, name = "login"),
url(r"^registro/$", views.registrar, name =... | raulignacio710/MusicaWeb | instrumentalstore/sistema/urls.py | urls.py | py | 1,059 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.co... |
4393600287 | import datetime
import json
import random
from unittest import mock
from unittest.mock import patch
from django.contrib import messages
from django.contrib.auth.models import User
from django.contrib.messages import get_messages
from django.core.cache import cache
from django.core.files.uploadedfile import SimpleUploa... | uclouvain/osis-continuing-education | tests/views/test_admission.py | test_admission.py | py | 29,611 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.test.TestCase",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "base.tests.factories.academic_year.create_current_academic_year",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "base.tests.factories.education_group.EducationGroupFactory",... |
71617341344 | import numpy as np
import tensorflow as tf
from datetime import datetime
import os
import sys
import json
sys.path.append('../')
import retriever
cdnd_dir = os.path.dirname(os.path.realpath(__file__))
vocab_file = cdnd_dir+'/data/metadata/w2v_vocab.json'
embed_path = cdnd_dir+'/data/metadata/w2v.bin'
class Model()... | aSheffer/CDN | CDND.py | CDND.py | py | 27,198 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
28673494710 | import logging
from datetime import datetime
from apscheduler.schedulers.blocking import BlockingScheduler
from apscheduler.triggers.cron import CronTrigger
from django.conf import settings
from django.core.mail import mail_managers, EmailMultiAlternatives
from django.core.management.base import BaseCommand
from djang... | ctulhufromrlieh/SF_D_NewsPortal | NewsPortal/news/management/commands/runapscheduler.py | runapscheduler.py | py | 2,478 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django_apscheduler.models.DjangoJobExecution.objects.filter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django_apscheduler.models.DjangoJobExecution.objects",
"line_nu... |
6553842598 | ##
##
import logging
import os
import configparser
from typing import Union, List
from azure.identity import AzureCliCredential
from azure.mgmt.compute import ComputeManagementClient
from azure.mgmt.network import NetworkManagementClient
from azure.mgmt.resource.resources import ResourceManagementClient
from azure.mgm... | mminichino/couch-formation-core | couchformation/azure/driver/base.py | base.py | py | 8,970 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.NullHandler",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.ERROR... |
21073367766 | import math
import sys
import six
import time
import numpy as np
import tensorflow as tf
import tf_extended as tfe
import tf_utils
from tensorflow.python.framework import ops
from datasets import dataset_factory
from nets import nets_factory
from preprocessing import preprocessing_factory
from nets import np_methods
... | deeplearningfromscratch/HRSSD | eval_ssd_network_np.py | eval_ssd_network_np.py | py | 9,785 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tensorflow.contrib",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.enable_eager_execution",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.app.flags.DEFINE_float",
"line_number": 30,
"usage_type": "call"
}... |
29534141231 | import cv2, imutils, os
import numpy as np
import matplotlib.pyplot as plt
wait = 1
def stitch(prev, im, result, posx,posy, ratio=0.75, reprojThresh=4.0,
show=False):
offsetx,offsety,H = generate_homography(prev,im)
posx+=offsetx
posy-=offsety
print(posx,posy)
if(offsetx>0):
print('right')
elif(offsetx<0)... | hgrov52/Hockey-Analytics | code/research code/panorama/camera_stitch.py | camera_stitch.py | py | 6,374 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.imshow",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows",
"line_n... |
13801902339 | import http.server
import socketserver
import subprocess
import urllib.parse
PORT = 2728
class MyHandler(http.server.BaseHTTPRequestHandler):
def do_GET(self):
if self.path == '/':
self.send_response(200)
self.send_header('Content-type', 'text/html')
self.end_headers()
... | imalka9879/server | server.py | server.py | py | 1,951 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "http.server.server",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "http.server",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "urllib.parse.parse.parse_qs",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "urllib.... |
24575540546 | # Python bytecode 3.8 (3413)
import threading, requests, discord, random, time, os, urllib, re, json
from urllib.request import Request, urlopen
from colorama import Fore, init
from selenium import webdriver
from datetime import datetime
from itertools import cycle
from discord.ext import commands
def version():
c... | Leaked0/presence1337 | discord token raper/main.py | main.py | py | 16,831 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.urlretrieve",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": ... |
36755346756 | import torch
import torchvision
from .custom_torch_transforms import TensorFlatten
import os
import numpy as np
def mnist_dataloader(data_path: str, batch_size: int, train:bool=True):
"""
Load mnist image data from specified, convert to grayscaled (then binarised) tensors, flatten, return dataloader
:para... | seblee97/inference_suboptimality | utils/dataloaders.py | dataloaders.py | py | 6,255 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torchvision.transforms.Grayscale",
"line_number": 18,
"usage_type": "call"
}... |
74148739423 | # -*- coding: utf-8 -*-
# CDICALC: calculator for coherent X-ray diffraction imaging experiments
# authors:
# Jerome Carnis, carnis_jerome@yahoo.fr
"""Model to handle the calculations in the secondary source tab."""
import logging
from cdicalc.models.model import Model
from cdicalc.resources.constants ... | carnisj/cdicalc | cdicalc/models/model_coherence.py | model_coherence.py | py | 6,038 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cdicalc.models.model.Model",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "cdicalc.utils.snippets_quantities.CallbackParams",
"line_number": 25,
"usage_type": "name"
... |
31321242785 | #!/usr/bin/env python
""" CONTROL DE UN ROBOT MOVIL UTILIZANDO LOCALIZACION POR QR
Carmen Ballester Bernabeu
Grupo Aurova
Universidad de Alicante
"""
from sys import exit
import numpy as np
import math
import matplotlib.pyplot as plt
import cv2
# Libraries for ROS
import rospy
from geometry_msgs.msg import Pose
f... | carmenballester/robot_location | src/qr_robot_control/src/mark_sim.py | mark_sim.py | py | 8,932 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "math.atan2",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "math.asin",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "math.atan2",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style.context",
... |
29091448078 | import scrapy
from scrapy.spiders.crawl import Rule, CrawlSpider
from scrapy.linkextractors import LinkExtractor
class ArticleSpider(scrapy.Spider):
name="article"
allowed_domains = ["en.wikipedia.org"]
start_urls = ["http://en.wikipedia.org/wiki/Python_%28programming_language%29"]
rules = [Rule(SgmlLin... | hun0905/project_file | python_c/practice/request.py | request.py | py | 638 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scrapy.Spider",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "scrapy.spiders.crawl.Rule",
"line_number": 8,
"usage_type": "call"
}
] |
18268238460 | import sys, os
import argparse
parser = argparse.ArgumentParser(
description='Train a new network on a data set')
# Compulsory command: python train.py data_directory
parser.add_argument('data_directory', action="store",type = str,help="Set a data directory to train the model on")
# Option 1 : Set directwersory ... | henribxn/udacityproject_term1 | image_recognition/train.py | train.py | py | 2,200 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 34,
"usage_type": "attribute"
}
] |
20710849768 | from sqlalchemy import select
from db_models import CustomerTable, PersonTable
from linking_tables import CustomerPeopleLinking
from person import Person as p
from main import session
class Customers:
@staticmethod
def create_customer(person_id, is_guest):
customer = CustomerTable(person_id=person_id,... | swertheim1/630-Obj-Oriented-Software-Arch | Week_8/Hotel_Management_System/customer.py | customer.py | py | 4,643 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "db_models.CustomerTable",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "main.session.add_all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "main.session",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "main.sessio... |
31340877184 | from discord.ext.commands import Context
from discord.ext import commands
import discord
from bot import Waifu
from inspect import Parameter
from datetime import datetime
import asyncio
class Tag(commands.Cog):
def __init__(self, bot: Waifu):
self.bot = bot
@commands.group(invoke_without_command=T... | Espiobest/DiscordBot | cogs/tags.py | tags.py | py | 7,948 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "bot.Waifu",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "discord.... |
74224055904 |
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
class TimeTransformer(BaseEstimator, TransformerMixin):
def __init__(self, time_column, zone='America/New_York'):
self.time_column = time_column
self.zone = zone
def transform(self, X, y=None):
assert isin... | gmanchon/wagon-data-template | project/trainer/transformers/time_transformer.py | time_transformer.py | py | 707 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sklearn.base.TransformerMixin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_... |
8875557293 |
from getmac import get_mac_address
import serial.tools.list_ports
import yaml
import pandas as pd
# Change Accordingly
mintsDefinitions = yaml.load(open('mintsXU4/credentials/mintsDefinitions.yaml'),Loader=yaml.FullLoader)
# dataFolder = mintsDefinitions['dataFolder']
# dataFolderReference ... | mi3nts/awsSupport | firmware/mintsXU4/mintsDefinitions.py | mintsDefinitions.py | py | 1,826 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "yaml.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "yaml.FullLoader",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "yaml.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_nu... |
37529343233 | from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
import sys
import wikipedia as wiki
from PyQt5.uic import loadUiType
ui,_=loadUiType('wisdom.ui')
class MainApp(QMainWindow,ui):
def __init__(self):
QMainWindow.__init__(self)
self.title = 'Wisdom by t0xic0der'
... | t0xic0der/wisdom | index.py | index.py | py | 14,684 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "PyQt5.uic.loadUiType",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "wikipedia.search",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "wikipedia.page",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "wikipedia.search"... |
30595814341 | import random
import timm
import torch
import train as t
import wandb
from config import Config_03_Train as config
if __name__ == "__main__":
random.seed(config.seed)
project_name = config.project_name
# Check for GPU
device = "cuda" if torch.cuda.is_available() else "cpu"
print("Using {} device"... | ales-git/DeepCADRADS | _03_Train/main.py | main.py | py | 1,678 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.Config_03_Train.seed",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "config.Config_03_Train",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "conf... |
35845010401 | # Imports
import os
import pandas as pd
import logging
from bs4 import BeautifulSoup
# Init
logging.basicConfig(level=logging.INFO,
filename=snakemake.log[0],
format='%(message)s')
logging.getLogger().addHandler(logging.StreamHandler())
# Load ... | biOliver/COMUNEQAID | manage-dir/code/01_make-fastqs.py | 01_make-fastqs.py | py | 4,831 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.StreamH... |
36444081416 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# import
from matplotlib import pyplot as plt
import pandas as pd
# In[2]:
file = pd.read_excel("KB_mike3.xlsx")
print(file)
# In[3]:
# extract from csv
b_fdm = file["B FDM"]
k_fdm = file["K FDM"]
b_tacho = file["B tacho"]
k_tacho = file["K tacho"]
b_foaw = file... | monikazm/eth-mike-backend | ETH_MIKE_Characterisation/Data Analysis/KB-Plot/KB_Plot.py | KB_Plot.py | py | 714 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_excel",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "matplot... |
192767166 | import os
from this import d
from PyPDF2 import PdfFileReader, PdfFileMerger
merger = PdfFileMerger()
while True:
menu = input("Precisa de ajuda? (S/N)")
print()
if(menu == "S" or menu == "s"):
print("Para renomear adequadamente os arquivos, selecione todos, do último para o primeiro.")
print("Cliqu... | ProfessorDanilo/2022 | python3/juntarPdf.py | juntarPdf.py | py | 1,457 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "PyPDF2.PdfFileMerger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PyPDF2.PdfFileReader",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
3925101874 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
import pyttsx3
import pywhatkit as whatsapp
from datetime import datetime
driver =webdriver.Chrome("C:/Program Files (x86)/chromedriver.exe"... | amhkhowaja/AutomationBots | WhatsappBot.py | WhatsappBot.py | py | 1,310 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pyttsx3.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.date... |
2968661562 | import serial
from json.decoder import JSONDecodeError
# configure the serial connections (the parameters differs on the device you are connecting to)
ser = serial.Serial(
port='/dev/ttyUSB0',
baudrate=115200
)
# import time
# time.sleep(3)
import json
import struct
run = True
while run:
try:
in... | maxpowel/sensorflow-server | serial_proxy/serial_proxy.py | serial_proxy.py | py | 2,351 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "serial.Serial",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 6... |
7005711340 | import numpy as np
import matplotlib.pyplot as plt
from math import sqrt
def get_probability(delta_energy, beta):
return np.exp(-delta_energy*beta)
def get_energy():
return -np.sum(
interaction * spins * np.roll(spins, 1, axis=0) +
interaction * spins * np.roll(spins, -1, axis=0) +
interaction * ... | Merciful-jm/Ising | Ising_python/programming/MonteCarlo_pre_train.py | MonteCarlo_pre_train.py | py | 1,469 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.exp",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.roll",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.roll",
"line_number": 12,
... |
21448477511 | """Web Routes."""
from masonite.routes import Get, Post, Put, Delete, RouteGroup
ROUTES = [
Get("/", "WelcomeController@show").name("welcome"),
RouteGroup([
Get("/", "NoteController@index").name("index"),
Get("/@id", "NoteController@show").name("show"),
Post('/', "NoteController@create... | elikyaB/seirp-p4-backend2 | routes/web.py | web.py | py | 505 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "masonite.routes.Get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "masonite.routes.RouteGroup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "masonite.routes.Get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "mason... |
42872234594 | # -*- coding: utf-8 -*-
"""
Created on Thu May 23 21:58:22 2019
@author: zsl
"""
from sklearn import datasets
'''
car
'''
iris = datasets.load_iris()
wine = datasets.load_wine()
X, y = iris.data, iris.target
dataSet = []
labels = []
fileIn = open('car.data')
for line in fileIn.readlines():
lineArr ... | foolfun/Algorithm | 05_SVM/datapro.py | datapro.py | py | 440 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sklearn.datasets.load_wine",
"line_number": 12,
"usage_type": "call"
},
{
"api_name":... |
4618594580 | from datetime import datetime, timedelta
from django.contrib import messages
from django.contrib.auth import views
from django.core.exceptions import ValidationError
from django.core.mail import EmailMultiAlternatives
from django.conf import settings
from django.http.response import HttpResponseRedirect
from django.sh... | conlangdev/conlangdev | conlangdev/views/auth.py | auth.py | py | 4,069 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.views.generic.View",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse_lazy",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "conlangdev.utils.token.check_confirm_email_token",
"line_number": 28,
"usage_type": "c... |
21704893594 | from markupsafe import Markup, escape
from odoo import _, api, fields, models
from pprint import pprint,pformat
from odoo import http
from odoo.osv import expression
from odoo.tools import consteq, plaintext2html
from odoo.addons.helpdesk.controllers import portal
from odoo.addons.portal.controllers import mail
from od... | mosonyi/odoo_helpdesk_privacy | models/helpdesk_privacy.py | helpdesk_privacy.py | py | 7,076 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "odoo.addons.port... |
11757405402 | import math
import matplotlib
import numpy as np
from matplotlib import pyplot as plt
def create_data(f, x_vals):
y_vals = []
for i in x_vals:
y_vals.append(f(i))
return np.array(y_vals)
def fit_exp_data(x_vals, y_vals):
log_vals = []
for y in y_vals:
log_vals.append(math.log(y,... | zuzuqo/ossu | 1 Intro CS/02.Intro to CS/20.Understanding Experimental Data/20.2.The Behavior of Projectiles/20.3.Fitting Exponentially Distributed Data/fit_exponential.py | fit_exponential.py | py | 1,030 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.polyfit",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.use",
"line_number"... |
43083894647 | """
This code originally from ***Wav2Lip*** repository
Link repo: https://github.com/Rudrabha/Wav2Lip
This code has been modified to preprocess Facial Landmark dataset instead of face images
"""
import sys
if sys.version_info[0] < 3 and sys.version_info[1] < 2:
raise Exception("Must be using >= Python 3.2")... | peterwisu/lip-synthesis | preprocess_data.py | preprocess_data.py | py | 4,464 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "sys.version_info",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "face_alignment.FaceAlignment",
"line_number": 40,
"usage_type": "call"
},
{
"api_na... |
36845940579 | # 신호를 보낼 수 있는 객체를 생성하기. (QObject를 상속받은 pyqtSignal)
# 1. 마우스클릭
# 2. mousePressEvent가 발생.
# 3. closeApp 객체에 신호가 방출되었으면 한다.Emit()
# 4. closeApp 과 연결된(.connect) self.close를 실행 시킨다.
import sys
from PyQt5.QtCore import pyqtSignal, QObject
from PyQt5.QtWidgets import QApplication, QMainWindow
class Communicate(QObject):
... | lyj911111/PyQT5-Tutorial | 6_이벤트, 시그널/5_마우스가 클릭되었을 때 이벤트 발생, emit 함수를 이용해서 다양한 이벤트와 연결이 가능.py | 5_마우스가 클릭되었을 때 이벤트 발생, emit 함수를 이용해서 다양한 이벤트와 연결이 가능.py | py | 1,675 | python | ko | code | 0 | github-code | 7 | [
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 16,
"usage_type": "name"
},
{
"api_name... |
27497534219 | from cmd import Cmd
import Pysys_str as s
import PSDK as p
import json
# just test start
s.user = 'defult'
builtin_apps = ['settings', 'info', 'dev', 'Pyox', 'Pyrandcard', 'Pyrandom']
thirdparty_apps = []
# just test end
class Run(Cmd):
"""运行"""
intro = s.wel
if s.user == 'defult':
prompt = s... | bobby233/Pysysbeta | cmd_test.py | cmd_test.py | py | 3,303 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "Pysys_str.user",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cmd.Cmd",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "Pysys_str.wel",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "Pysys_str.user",
"l... |
2794395439 | import sqlite3
connection = sqlite3.connect('example.db')
connection.row_factory = sqlite3.Row # give us dictionary results!
db = connection.cursor()
result = db.execute('SELECT * FROM employees')
# print(result.fetchall())
for r in result.fetchall():
print(dict(r))
db.execute('INSERT INTO employees(first_name,... | textchimp/pyth02 | databases/sql.py | sql.py | py | 442 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 4,
"usage_type": "attribute"
}
] |
32887137514 | from datetime import datetime, timedelta
from odoo import models, fields, api
class OffersModel(models.Model):
_name = "offers_model"
_description = "Offers Model"
_order = "price desc"
validity_days = fields.Integer(default=7)
partner_id = fields.Many2one('res.partner',required = False)
prop... | toita86/My_module | models/offers_model.py | offers_model.py | py | 1,951 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "odoo.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Integer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "odoo.fields",
... |
29032900224 | """Adaptive Categorical Discretization"""
import torch
from torch.distributions import Distribution, constraints
import torch.nn.functional as F
from functools import reduce
def to_numpy(*args):
return [arg.numpy() for arg in args]
def product(shape):
if len(shape) == 0: return 1
return reduce(lambda x,... | ColinQiyangLi/AdaCat | wavenet/wavenet_vocoder/adacat.py | adacat.py | py | 5,331 | python | en | code | 49 | github-code | 7 | [
{
"api_name": "functools.reduce",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.searchsorted",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.distributions.Distribution",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "... |
4450394258 | from flask import Flask, redirect,render_template,request
from cs50 import SQL
app= Flask(__name__)
TEMPLATES_AUTO_RELOAD = True
# This is class of cs50 which is from sql alchemy for sqltie
db=SQL('sqlite:///stroing_info.db')
@app.route("/")
def padf():
return render_template('index.html')
@app.route("/regis... | Kd-Here/CS-50_2021 | Flask/Put user name in db/app.py | app.py | py | 669 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cs50.SQL",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.form.get",
... |
39980748154 | def daytoJulian(year,month,day):
import datetime
i,j,k = 0,0,0
julianDay=[]
while i <= len(year)-1:
while j <= len(month)-1:
while k <= len(day)-1:
julian = str(datetime.datetime.strptime('{0}-{1}-{2}'.format(year[i],month[j], day[k]),
'%Y-%m-%d')... | palexandremello/goes-py | examples/raw_functions/julianList.py | julianList.py | py | 604 | python | en | code | 21 | github-code | 7 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
}
] |
28940165166 | # -*- coding: utf-8 -*-
"""
@author: MARTIJ
This script takes any text copied to the clipboard and creates a concordance.
saves results to a text file
will later take the created dictionary and pass it to a csv file
"""
import re
import pprint
import pyperclip
text = pyperclip.paste() ##enters text on ... | jdm1061/Concordance | concordance.py | concordance.py | py | 1,780 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyperclip.paste",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 43,
"usage_type": "call"
}
] |
41300561838 | #coding:utf-8
'''color_output.py 实现windows cmd下的彩色输出（通过pyreadline），
并对编码转换进行了包装
注意: Windows下需要pyreadline模块
作者：Kder [ http://www.kder.info/ ]
许可：Apache License V2
'''
import sys
import rlcompleter
def uprint(msg):
msg = str(msg)
try:
print(msg.decode('utf-8'))
except UnicodeDecodeError as e:
... | Kder/color-output | color_output.py | color_output.py | py | 842 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sys.platform",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pyreadline.parse_and_bind",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pyreadlin... |
30664110759 | from collections import Counter
from functools import cache
class Stack:
def __init__(self, height, color):
self.height = height
self.color = color
class BabylonGame:
def __init__(self):
self.state = [Stack(1, color) for color in range(4) for _ in range(3)]
def getStacks(self):
... | yutao-li/leetcode | google/3133.py | 3133.py | py | 2,123 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.Counter",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "functools.cache",
"line_number": 51,
"usage_type": "name"
}
] |
25505255652 | from django.urls import include, path
from rest_framework.routers import DefaultRouter
from . import views
router_v1 = DefaultRouter()
router_v1.register('ingredients', views.IngredientViewSet)
router_v1.register('tags', views.TagViewSet)
router_v1.register('recipes', views.RecipeViewSet)
urlpatterns = [
path('r... | dussiks/foodgram-project-react | backend/recipes_api/urls.py | urls.py | py | 650 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": ... |
39027145996 | import sys, json
from crontab import CronTab
import mysql.connector as my
# JSON printing is extra-important, without it user interface cannot read (and present) results
# this program will be called from graphical user interface / testBench / start test -button or stop test -button
# System will capture system argu... | rogerkupari/Desalinator | desalinator_sw/ui/mgnCron.py | mgnCron.py | py | 3,041 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector.connect",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "mysql.connector",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "sys.stderr.writ... |
13392540679 | from PyQt6.QtWidgets import QWidget, QApplication, QMainWindow, QLabel, QHBoxLayout, QLineEdit, QComboBox, QPushButton, QVBoxLayout, QGridLayout, QStackedLayout
class Avtoriz2(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle("Авторизация")
self.setFi... | Evgen792/gg | test.py | test.py | py | 1,078 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PyQt6.QtWidgets.QMainWindow",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "PyQt6.QtWidgets.QLabel",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PyQt6.QtWidgets.QPushButton",
"line_number": 11,
"usage_type": "call"
},
{
"api... |
25324993373 | import os
import PyInstaller
def hook(mod):
# Replace mod by fake 'site' module.
pyi_dir = os.path.abspath(os.path.dirname(PyInstaller.__file__))
fake_file = os.path.join(pyi_dir, 'fake', 'fake-site.py')
new_code_object = PyInstaller.utils.misc.get_code_object(fake_file)
mod = PyInstaller.depend.... | pyqteval/evlal_win | pyinstaller-2.0/PyInstaller/hooks/hook-site.py | hook-site.py | py | 388 | python | en | code | 193 | github-code | 7 | [
{
"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": "PyInstaller.__file__",
... |
41222575895 | #!/usr/bin/python2
import time
import pygame
from random import randrange
import sys, signal
print("Init")
pygame.display.init()
print("Size")
size = (pygame.display.Info().current_w, pygame.display.Info().current_h)
print(size)
print("Screen")
screen = pygame.display.set_mode((640, 480))
#screen = pygame.display.... | seb4stien/family_box | family_box/colors.py | colors.py | py | 577 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.display.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.Info",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.di... |
37050197743 | import cv2 as cv
import numpy as np
img = cv.imread('images/trafficSign.jpg', cv.IMREAD_COLOR)
blur = cv.GaussianBlur(img, (5,5), 0)
hsv = cv.cvtColor(blur, cv.COLOR_BGR2HSV)
# detect red color
low_thresh = (160, 100, 100)
high_thresh = (180, 255, 255)
b_img = cv.inRange(hsv, low_thresh, high_thresh)
contours, heir... | TraanQuang1509/ImageProcessing | ObjectDetection/trafficSign.py | trafficSign.py | py | 757 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_COLOR",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.GaussianBlur",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"li... |
32848710807 | from skyfield.api import load, Topos
from string import Template
from pytz import timezone
from datetime import datetime
class Celestial:
def __init__(self, name):
self.name = name
self.caption = name.capitalize()
self.set_object()
def set_object(self):
planets = load('de421.bs... | jakmat/2018-personal-website | scripts/main.py | main.py | py | 3,629 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "skyfield.api.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "skyfield.api.load",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "skyfield.api.Topos",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "datetime.datet... |
40213987297 | import tweepy
import os
from models.tweet import TweetModel
consumer_key = os.environ.get('TWITTER_CONSUMER_KEY')
consumer_secret = os.environ.get('TWITTER_CONSUMER_SECRET')
access_token = os.environ.get('TWITTER_ACCESS_TOKEN')
access_token_secret = os.environ.get('TWITTER_ACCESS_TOK... | bcaleffi/twitter-api | api.py | api.py | py | 1,369 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.environ.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_num... |
14086141189 | #!/usr/bin/env python
# coding: utf-8
# Лабораторная работа №11 “Реализация криптографических атак с помощью машинного обучения на физически неклонируемые функции”
# ====
# Лабораточная работа выполнена на языке **Python** c помощью интерактивной оболочки **Jupyter Notebook**
# Исходный код работы - lab11.py.
# Файл j... | 4kix/machineLearning | labs/lab11/lab11.py | lab11.py | py | 15,926 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "utils.LinArbPUF",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection",
"line_number": 60,
"usage_type": "attribute"
},
{
... |
15529003383 | """ Script to train model"""
__author__ = 'Chien-Hsiang Hsu'
__create_date__ = '2019.04.24'
import os
import functools
import yaml
from argparse import ArgumentParser
import numpy as np
import pandas as pd
import datetime
import matplotlib.pyplot as plt
import cv2
import dataset_configs
import ... | chienhsiang/tensorflow | segmentation/code/segmentation.py | segmentation.py | py | 14,016 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "yaml.safe_load",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_n... |
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