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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
30369843211 | import time
import traceback
from functools import wraps
from interface.logger import logger
from .ob import model
from config.network import HttpState
def Timefn(f):
# 计算方法运行时间
@wraps(f)
def decotor(tm=None):
currentTime = tm
startTime = time.time()
t = f()
endTime = time... | Tantis/z-interface | utils/fn.py | fn.py | py | 3,280 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "interface.logger.logger.debug",
... |
6015384897 | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 23 21:33:14 2020
@author: TOSHIBA
"""
import pyodbc
import pandas as pd
def num2MX(value):
for j in range(len(value)):
aux = ""
coma = 0
for i in range(len(value[j])-1, -1, -1):
if coma == 3:
aux = "... | JeRod19/ReproSur-IncomeAndOutcomes-Tracking | Module2.py | Module2.py | py | 4,741 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyodbc.connect",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
... |
27592576983 | import logging
LOG_FORMAT = '%(levelname)s %(asctime)s - %(message)s'
class Logger:
instance = None
def __init__(self):
logging.basicConfig(
level=logging.INFO,
filename='/home/richard/Documents/risk-profile-python/logs/logs.py',
format=LOG_FORMAT,
file... | richardpassos01/risk-profile-python | risk_profile/application/logger/logger.py | logger.py | py | 440 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
}
] |
34179060816 | import heapq
import numpy as np
from copy import copy
from itertools import product
from math import inf as INFINITY
from collections import defaultdict
def in_bounds(grid, node):
y, x = node
return 0 <= y < len(grid) and 0 <= x < len(grid[y])
def get_adj(grid, current_node):
y,x = current_node
adj_no... | mpryor/advent-of-code-2021 | day-15/part-2.py | part-2.py | py | 1,675 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "math.inf",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "heapq.heappush",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"... |
39868314021 | from django.db import models
from django.utils.safestring import mark_safe
from easy_thumbnails.fields import ThumbnailerImageField
from main.model.pgm import Pgm
from urllib import parse
from django_project.settings import AAC_URL_PREFIX
class Track(models.Model):
pos = models.SmallIntegerField(db_index... | artemgv/spacemusic | app/main/model/track.py | track.py | py | 6,664 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.SmallIntegerField",
"line_number": 10,
"usage_type": "call"
},
{
"api... |
40738894813 | """
** coded by shibinmak on 1/10/18 **
** I pledge to do my best **
** May all beings be Happy,Peaceful,Liberated **
"""
import cv2
import os
import imutils
import json
import config
from Alerts.Email import EmailAlert
from Alerts.SMSAlert import SMSAlert
from Alerts.whatsapp import WhatsApp
import numpy as np
from ... | shibinmak/security-s-s | securitysystem.py | securitysystem.py | py | 5,016 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "config.model",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "config.prototxt",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "Alerts.SMSAlert.SMSAlert",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "Alert... |
22349081084 | import streamlit as st
import pandas as pd
import numpy as np
import re
import time
# Dashboard setup
pd.set_option("display.max_colwidth", None)
st.set_page_config(
page_title="Taiwan Waste Management Data",
page_icon="🗑️",
layout="centered",
initial_sidebar_state="auto",
)
DATA_DIR = "data/"
STAT_P... | frankcholula/twgc | streamlit_app.py | streamlit_app.py | py | 5,121 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.set_option",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.set_page_config",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "streamlit.c... |
32067036953 | # pip install loguru
import logging
from types import FrameType
from typing import cast
import os
import sys
from loguru import logger
BASE_DIR = os.path.abspath('.')
class InterceptHandler(logging.Handler):
def emit(self, record: logging.LogRecord) -> None: # pragma: no cover
# Get corresponding Loguru... | milespeng/myops_fastapi | scripts/log.py | log.py | py | 1,844 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.Handler",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.LogRecord",
... |
14098869799 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import builtins
import logging
import os
import platform
import shutil
import sys
import traceback
from pathlib import Path
import IPython
from IPython.core.release import version_info
from IPython.terminal.prompts import ClassicPrompts
from traitlets.config.application i... | farisachugthai/dynamic_ipython | default_profile/ipython_config.py | ipython_config.py | py | 29,454 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "logging.error",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.exception... |
8398727517 | import numpy as np
import pandas as pd
from collections import Counter
import matplotlib.pyplot as plt
from matplotlib import style
style.use('fivethirtyeight')
dataset = {'k': [[1,2], [2,3], [3,1]], 'r': [[6,5], [7,7], [8,9]]}
new_features = [5,7]
def k_nearest_neighbor(dataset, predict, k=3):
distances = []
... | SarthakPatidar/Machine-Learning | Supervised Learning/algorithms/k-nearest neighbors/k_nearest_neighbor.py | k_nearest_neighbor.py | py | 916 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.style.use",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
... |
42510768159 | import os
import numpy as np
import pandas as pd
import scipy.misc
from sklearn.cluster import KMeans
import utils
TRAIN_DIR = 'data/train'
OUT_DIR = 'data'
LABELS_DIR = 'bbox'
FISH_CLASSES = ['ALB', 'BET', 'DOL', 'LAG', 'OTHER', 'SHARK', 'YFT']
MAX_EXAMPLES = 10000
EXPAND_BBOX = 0.5
N_SAMPLES = 100
os.makedirs(O... | cwkprojects/myprojects | applied_machine_learning/fisheries/generate_proposals.py | generate_proposals.py | py | 1,515 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.makedirs",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_json",
"line_... |
10865944408 | import logging
import os
import os.path
import environ
import sentry_sdk
from sentry_sdk.integrations.django import DjangoIntegration
env = environ.Env()
env.read_env(str((environ.Path(__file__) - 1).path(".env")))
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
# Language code for this installation. All cho... | tlrh314/UvA_API_Alumni | apiweb/settings/base.py | base.py | py | 11,228 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "environ.Env",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "environ.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
16800466391 | import matplotlib.pyplot as plt
import numpy as np
from numba import vectorize, njit
import numba
from time import time
""""
This function creates a matrix of complex numbers from -2 to 2 and -2i to 2i
Args:
n: dimention of the matrix
Returns:
matrix: matrix of complex numbers
"""
@njit
def cr... | ale12012/PythonProjects | MandelbrotSet/mandelbrot_gpu.py | mandelbrot_gpu.py | py | 2,016 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.complex64",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numba.njit",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numba.vectorize",
"li... |
7161975814 | """
Design a hit counter which counts the number of hits received in the past 5 minutes (i.e., the past 300 seconds).
Your system should accept a timestamp parameter (in seconds granularity), and you may assume that calls are being made to the system in chronological order (i.e., timestamp is monotonically increasing)... | CompetitiveCodingLeetcode/LeetcodeEasy | Queue/designHitCounter_Q362.py | designHitCounter_Q362.py | py | 8,488 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 147,
"usage_type": "attribute"
}
] |
12702098128 | from rest_framework import status
from rest_framework.permissions import IsAdminUser
from rest_framework.response import Response
from rest_framework.views import APIView
# local imports
from staffs.apps.authentication.serializers import (AddUserSerializer,
LoginSeri... | sam-karis/staff-requests | staffs/apps/authentication/views.py | views.py | py | 1,960 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "staffs.apps.authentication.serializers.LoginSerializer",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 27,
... |
42931774680 | import os
import torchvision
import torchvision.transforms as transforms
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225])
transform_train = transforms.Compose([
transforms.RandomResizedCrop(224),
transforms.RandomHorizontalFlip(),
tra... | EvgenyKashin/SRMnet | datasets/imagenet.py | imagenet.py | py | 922 | python | en | code | 75 | github-code | 6 | [
{
"api_name": "torchvision.transforms.Normalize",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 8,
"usage_type": "call"
},
{
... |
9806654687 | # import libraries
from selenium.webdriver.common.by import By
from pages.base_page import BasePage
class MyWishlistPage(BasePage):
# page objects
wishlist_confirmation_txt = (By.XPATH, "//div[@data-bind='html: $parent.prepareMessageForHtml(message.text)']")
# constructor
def __init__(self, driver) -... | santoshsharma21/ecommerce--automation-project-python | pages/my_wishlist_page.py | my_wishlist_page.py | py | 536 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pages.base_page.BasePage",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 8,
"usage_type": "name... |
72323287549 | from flask_wtf import FlaskForm
from wtforms import StringField, IntegerField, FloatField, SelectField, SubmitField, TextAreaField, FieldList, FormField
from wtforms.validators import DataRequired
class BlogPostForm(FlaskForm):
# no empty titles or text possible
# we'll grab the date automatically from the Mo... | yasser64b/Flask-Web-Development | Myproject/truss_posts/forms.py | forms.py | py | 2,043 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "wtforms.StringField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "wtforms.TextAreaField",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "wtforms.... |
30575109110 | from matplotlib import ticker
from PortfolioEngine.Components.PortfolioBalancer.BalancingStrategies.BaseBalancingStrategy import BaseBalancingStrategy
from PortfolioEngine.Components.Indicator import Indicator
from PortfolioEngine.Components.Portfolio import Portfolio
from pandas import DataFrame
import logging
class ... | jminahan/backtest_framework | PortfolioEngine/Components/PortfolioBalancer/BalancingStrategies/EvenSplitBalancingStrategy.py | EvenSplitBalancingStrategy.py | py | 2,201 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PortfolioEngine.Components.PortfolioBalancer.BalancingStrategies.BaseBalancingStrategy.BaseBalancingStrategy",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PortfolioEngine.Components.Portfolio.Portfolio",
"line_number": 9,
"usage_type": "name"
},
{
"api... |
4976305145 | from django.contrib import admin
from .models import Stock
# Register your models here.
@admin.register(Stock)
class CEFAdmin(admin.ModelAdmin):
list_display = (
'ticker', 'is_updated', 'category', 'nav_', 'price_', 'price_chg', 'nav_chg', 'price_minus_nav', 'curr_disc',
'avg_minus_curr', 'c_to_avg'... | iliev0980/crazy_CEF | stocks/admin.py | admin.py | py | 1,136 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 4,
"usage_type": "call"
},
{
... |
30692516780 | #!/usr/bin/env python
"""
Script for gathering GitHub data
"""
import csv
import datetime
import json
import logging
import os
import re
import time
# import choicemodels
import git
import pandas as pd
import networkit as nk
import numpy as np
import requests
import six
import stscraper
import stutils
from stutils i... | user2589/TAC_Github | utils.py | utils.py | py | 29,315 | python | en | code | null | github-code | 6 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "stutils.decorators.DEFAULT_EXPIRES",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "stutils.decorators",
"line_number": 52,
"usage_type": "name"
},
{
... |
70287321149 | import cv2
def main():
path = "rtsp://admin:Chinsoft@sx3.7766.org:754/doc/page/config.asp"
cap = cv2.VideoCapture(path)
c = 0
while True:
re, frame = cap.read()
if(re==False): break
if(c%300==0):
#cv2.imwrite("./res/{}.png".format(c), frame)
print("coun... | dishen12/helmet | practice/test.py | test.py | py | 405 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
}
] |
15833779921 | import yaml
lst = ["computer", "printer", "keyboard", "mouse"]
slovar2 = {"mouse": "50€", "keyboard": "20€"}
slovar = {"items": lst, "sssss": 5, 'item_price': slovar2}
with open('data_write.yaml', 'w') as f_n:
yaml.safe_dump(slovar, f_n, allow_unicode=True, default_flow_style=False)
with open('data_write.yaml') ... | EvgeniyBezzubov/urok8 | task_3/task3.py | task3.py | py | 354 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "yaml.safe_dump",
"line_number": 8,
"usage_type": "call"
}
] |
8345242320 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy
from PIL import Image, ImageColor, ImageChops
from webapp.exceptions.imagediff_exception import *
class ImageDiff(object):
_imageA = None
_imageB = None
# 实例化ImageDiff对象是先检查图片是否存在再判断两张图片大小是否一致
def __init__(self, imagea, imageb):
try:
... | megolee/Imgdiff | webapp/img/imgdiff.py | imgdiff.py | py | 2,397 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number"... |
5209471701 | # bot actions related to interaction with the server go here
# this file acts as an interface between the server and commands.py
import discord
import commands
import os
from bot import Bot
COMMANDS = ["forecast", "set_home", "home"]
FUNCTIONS = [commands.forecast, commands.set_home, commands.home]
client = discord.... | epw1624/avy-bot | src/events.py | events.py | py | 1,168 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "commands.forecast",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "commands.set_home",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "commands.home",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "disc... |
18039093099 | import os
import random
import base64
import download_picture
from openpyxl import load_workbook
def get_filename(path):
filelist = os.listdir(path)
return filelist
def read_file(path):
with open(path,encoding='utf-8',errors='ignore') as f:
return f.read()
def write_file(path):
c... | wednesdaygogo/WafTestTools | sockethttp/file_handle.py | file_handle.py | py | 7,250 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
1633261962 | from __future__ import print_function
#
# pyramid.py - Helper functions for accessing GigaPan
#
# Copyright (c) 2011 Carnegie Mellon University
# All rights reserved.
#
# This software is distributed under the terms of the Eclipse Public
# License, Version 1.0 which can be found in the file named LICENSE.
# ANY U... | cmusatyalab/opendiamond | opendiamond/dataretriever/pyramid.py | pyramid.py | py | 4,218 | python | en | code | 19 | github-code | 6 | [
{
"api_name": "future.standard_library.install_aliases",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "future.standard_library",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "math.ceil",
"line_number": 41,
"usage_type": "call"
},
{
"api_nam... |
23010326082 | from typing import List, Optional
from bw2calc import LCA
from scipy import sparse
from .matrix_tools import to_normalized_adjacency_matrix
from .shortest_path import get_shortest_path
try:
import bw2data as bd
from bw2data import Edge, Node
brightway_available = True
except ImportError:
class Dumm... | brightway-lca/bw_graph_tools | bw_graph_tools/graph_traversal_utils.py | graph_traversal_utils.py | py | 2,077 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "bw2data.Node",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "bw2data.Edge",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "scipy.sparse.spmatrix",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "scipy.sparse",
... |
24203671995 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .Model import Model
class ConvE(Model):
def __init__(self, ent_tot, rel_tot, hidden, embedding_shape, \
dim=100, bias_flag=True, drops=[0,0,0]):
super(ConvE, self).__init__(ent_tot, rel_tot)
self.dim = dim
... | Toni-Chan/text-pwrd-kg-reasoning | OpenKE-OpenKE-PyTorch/openke/module/model/ConvE.py | ConvE.py | py | 3,206 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Model.Model",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Embedding",
... |
20080746612 | from create_bot import bot
from handlers import handler__commands
from telebot import types
from handlers import data_base
from telegram import InputMediaPhoto
from telegram.constants import ParseMode
from telebot.types import ReplyKeyboardMarkup, InlineKeyboardMarkup, InlineKeyboardButton
import os
from os import list... | Aynur-Safina/TG_bot_- | Бот_ЗаборМастер/handlers/handler__message_text.py | handler__message_text.py | py | 22,804 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "os.getcwd",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 19,... |
7190204673 | import requests
import threading
from PyQt5.QtCore import QThreadPool, pyqtSignal, QRunnable, Qt, QObject
from PyQt5.QtGui import QPixmap, QImage
from PyQt5.QtWidgets import QLabel, QWidget, QVBoxLayout, QApplication
class Glide(QObject):
image_loaded = pyqtSignal(tuple)
class LabelInfo:
def __init_... | flyfire/learning-py | qt/network-image-loading/glide.py | glide.py | py | 4,569 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui.QPixmap",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PyQt5... |
14857635413 | from aws_cdk import (
aws_ec2 as ec2,
aws_ssm as ssm,
Stack
)
import config
from config import formalize
from constructs import Construct
class SecurityStack(Stack):
def __init__(self, scope: Construct, construct_id: str,vpc: ec2.Vpc, **kwargs) -> None:
super().__init__(scope, construct_id, *... | Mostafa-Anwar/iac-eks | python/stacks/security_stack.py | security_stack.py | py | 1,635 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "aws_cdk.Stack",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "constructs.Construct",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "aws_cdk.aws_ec2.Vpc",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "aws_cdk.a... |
36818281731 | import pytest
from core import Attribute
from database.model import ModelAttribute, Model
class TModel(Model):
uid = ModelAttribute(uid=True)
first = ModelAttribute()
second = ModelAttribute(default=False)
third = ModelAttribute(default=100)
fourth = ModelAttribute(default=None)
def test_create... | AzaubaevViktor/vk_grabber | src/database/tests/test_model.py | test_model.py | py | 3,329 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "database.model.Model",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "database.model.ModelAttribute",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "database.model.ModelAttribute",
"line_number": 9,
"usage_type": "call"
},
{
"api... |
28668160085 | import logging
from collections import deque
from datetime import datetime
from decimal import Decimal
from enum import IntEnum, Enum
from typing import Union
from cached_property import cached_property
from peewee import (CharField, TextField, DateTimeField,
IntegerField, BooleanField, ForeignKeyF... | haoweiking/image_tesseract_private | PaiDuiGuanJia/yiyun/models/match.py | match.py | py | 41,155 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base.BaseModel",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "enum.IntEnum",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "peewee.IntegerField",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "peewee.IntegerField",... |
34120233143 | __author__ = 'Yves Bonjour'
import unittest
from Feeds import Feed
from Feeds import MemoryFeedStore
from Feeds import RedisFeedStore
from Feeds import Feeds
from FeedStoreMock import FeedStoreMock
import uuid
import redis
class FeedTest(unittest.TestCase):
def test_equals_same_values(self):
# Arrange
... | ybonjour/nuus | services/feeds/tests/FeedsTest.py | FeedsTest.py | py | 7,513 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "Feeds.Feed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "Feeds.Feed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Feeds.Feed",
"line_n... |
443383386 | #TODO: Add comments and license
import time
import math
import datetime as dt
from typing import List
import numpy as np
import rclpy
import signal
from rclpy.context import Context
from rclpy.node import Node
from rclpy.qos import qos_profile_system_default
from dvl.dvl import Dvl
from dvl.system import OutputData
fro... | kabronius/wayfinder_dvl | wayfinder_dvl/wayfinder_dvl/wayfinder_dvl.py | wayfinder_dvl.py | py | 6,707 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rclpy.node.Node",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "geometry_msgs.msg.TwistWithCovarianceStamped",
"line_number": 32,
"usage_type": "argument"
},
{
"api_name": "rclpy.qos.qos_profile_system_default",
"line_number": 33,
"usage_type": ... |
71957451709 | from namePart import *
from fileSet import *
import math
import datetime
class regularFileSet(fileSet):
'''This is a set of files that starts with a particular file time and includes many files that are evenly spaced by some number of seconds. If files in set are still being recorded nFiles -1 is the flag for that'''... | eileenrmartin/FiberOpticEarthquakes | FileSetObjects/regularFileSet.py | regularFileSet.py | py | 4,830 | python | en | code | 24 | github-code | 6 | [
{
"api_name": "fileSet.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.now",
... |
34961893861 | # Use this code at your own risk
# Enter registered mobile number and password in the data dictionary
# Enter Message in data1 dictionary and enter mobile number in which message needs to be sent in toMobile in data1.
import json
from datetime import datetime
import requests
def main(tono, todata):
url1 = 'http... | rishav394/VIT-Scraper | send_sms.py | send_sms.py | py | 1,724 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "requests.session",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
3081256684 | # -*- coding: utf-8 -*
"""Output
.. module:: output
:synopsis: Module for generating output
"""
# imports
import numpy as np
import resoncalc.graphics as graphics
import resoncalc.detection as detection
from datetime import datetime
from os import getcwd, path, mkdir
from json import dumps
# globals
outdir = '' ... | hydratk/resoncalc | src/resoncalc/output.py | output.py | py | 6,723 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "os.getcwd",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_numb... |
24223750039 | import os
from zipfile import ZipInfo
def zip_add_dir(zipfile, path, prefix=''):
'''
Add a directory recursively to the zip file with an optional prefix.
'''
if prefix:
zi = ZipInfo(prefix+'/')
zi.external_attr = 16
zipfile.writestr(zi, '')
cwd = os.path.abspath(os.getcwd())... | prodigeni/pdfmasher | ebooks/utils/zipfile.py | zipfile.py | py | 661 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "zipfile.ZipInfo",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "zipfile.writestr",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
24905794273 | import cadquery as cq
from math import sin, cos, acos, radians, degrees
from types import SimpleNamespace as Measures
# A parametric Z axis end stop spacer for the Creality Ender 2 and Ender 3 3D printers.
#
# This spacer is to be glued with its mountplate face to the x axis assembly of the 3D printer, so that its spa... | tanius/cadquery-models | zspacer/z_spacer.py | z_spacer.py | py | 1,998 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "types.SimpleNamespace",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cadquery.Workplane",
"line_number": 32,
"usage_type": "call"
}
] |
24990515775 | import numpy as np
import time
import os
import threading
from tqdm import tqdm
from tqdm import trange
from multiprocessing import Process
# class Reader(threading.Thread):
class Reader(Process):
def __init__(self, thread_no, file_list, file_dir, training_data, start_pos, end_pos):
super(Reader, self).__... | Finallap/WiFi_Sensing_Python | data_loader/concurrent_study/csv_loader.py | csv_loader.py | py | 3,193 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "multiprocessing.Process",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.float16",
"... |
28652598391 | from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('contact_us/', views.contact, name='contact'),
path('about_us/', views.about, name='about'),
path('registeruser/', views.register, name='register'),
path('loginuser/', views.user_login, name='lo... | Niraj-123456/FashionHub | my_project/urls.py | urls.py | py | 868 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
41767558820 | from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN #四捨五入用
from itertools import permutations
import numpy as np
#xはlenが3のリストを想定．
#要素は文字列を想定
def make_input(x):
ans = [["h","h",x[0]],[x[0],"h",x[1]],[x[1],"s",x[2]],[x[2],"s","s"],["s","h","h"]]
return ans
#inputに自分の場合の事象を入れたら，8個の確率がでるよ．
#確率は一つ目のkey... | faabl/class_seq | seq-1.py | seq-1.py | py | 3,774 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "decimal.Decimal",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "decimal.ROUND_HALF_UP",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "decimal.Decimal",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "itertools.permu... |
21629245152 | import argparse
from data_preparation import make_training_data, max_padded_candidate_length, merge_vocab
def get_arg_parser():
arg_parser = argparse.ArgumentParser()
arg_parser.add_argument("--train_file", help="training data")
arg_parser.add_argument("--silver_train_file", help="additional low quality... | bnmin/tdp_ranking | train.py | train.py | py | 7,565 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "data_preparation.make_training_data",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "data_preparation.make_training_data",
"line_number": 90,
"usage_type": "call"
... |
19768703962 | #!/usr/bin/env python3
from __future__ import print_function, division
import numpy as np
def standard_grid(L):
thetas = []
for i in range(1, L+1):
if i % 2 == 0:
theta = np.pi * (i - 1) / (2 * L - 1)
else:
theta = np.pi * (2 * L - i) / (2 * L - 1)
thetas.appen... | praveenv253/sht | sht/grids.py | grids.py | py | 843 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.pi",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number":... |
30573753276 | #%%
import pygame
#%%
class Visualiser:
def __init__(self, display_width, display_height):
self.X_BORDER_RATIO = 0.05 * 2
self.Y_BORDER_RATIO = 0.05 * 2
self.X_BORDER = display_width * self.X_BORDER_RATIO / 2
self.Y_BORDER = display_height * self.Y_BORDER_RATIO / 2
self.... | alexandersoen/path_finder | visualiser.py | visualiser.py | py | 3,395 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.C... |
34283115330 | #!/usr/bin/env python
# vim: et:tw=79:ts=4:sw=4
from __future__ import print_function, division
import subprocess
import os
from os.path import join, exists
import yaml
import numpy as np
from sklearn.svm import SVR
from sklearn.linear_model import ARDRegression
class GraphFile(object):
""" Represent a graph o... | tchajed/partial-results | experiment.py | experiment.py | py | 10,001 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number":... |
34531773547 | """DjangoBackend URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class... | Glasgow19/team-9 | Backend/DjangoBackend/DjangoBackend/urls.py | urls.py | py | 3,012 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.routers.SimpleRouter",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "rest_framework.routers.Route",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers.Route",
"line_number": 37,
"usage_type": "call"
... |
42248038663 | import pickle
from torch.utils.data import Dataset, DataLoader
class VizWizDataset(Dataset):
def __init__(self, data_dict):
self.encoded_questions = data_dict['encoded_questions']
self.encoded_answers = data_dict['encoded_answers']
self.image_features = data_dict['image_features']
... | reykoki/ugh | dataset.py | dataset.py | py | 790 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 4,
"usage_type": "name"
}
] |
30913349705 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('silver', '0029_plan_ec2count'),
]
operations = [
migrations.RenameField(
model_name='plan',
old_name... | infomagnum-net/tcoapp | silver/migrations/0030_auto_20161110_0539.py | 0030_auto_20161110_0539.py | py | 389 | python | en | code | 0 | github-code | 6 | [
{
"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.RenameField",
"line_number": 14,
"usage_type": "call"
},
... |
27146970463 | import numpy as np
import scipy.stats
from sklearn.model_selection import train_test_split
norms = {}
timestamps = {}
MEAN = None
STD = None
MIN = 20000
MAX = 0
normal = scipy.stats.norm(4.5, 1.08)
features, labels = ([],[])
from sklearn.base import BaseEstimator, ClassifierMixin
class Attack(BaseEstimator, Classi... | dyllew3/Timing-Attacks-Against-Opennym | Testing/baseline.py | baseline.py | py | 3,852 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.stats.stats.norm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.stats.stats",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "scipy.stats",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sklearn.bas... |
11197048505 | # USAGE
# Start the server:
# python run_front_server.py
# Submit a request via Python:
# python simple_request.py
# import the necessary packages
import pandas as pd
from flask import render_template, request
from wtforms import Form, TextAreaField, validators
import pickle
import numpy as np
import dill
import pand... | docinit/trauma_outcomes | trauma_outcomes/app/run_server.py | run_server.py | py | 6,383 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dill._dill",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.handlers.RotatingFileHandler",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name":... |
24756254365 | import argparse
import sys
import os
from distance_utils import time_series_twed
from scipy.spatial.distance import squareform
import itertools
import pickle
parser = argparse.ArgumentParser(
description='Calculate distances of subsequences')
parser.add_argument('--input_dir', required=True, type=str)
parser.add... | luvalenz/time-series-variability-tree | 2.2.twed.py | 2.2.twed.py | py | 1,914 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
14090003675 | '''
目前已無作用。
為優化前主程式導入之物件class。
'''
import pygame
class Ability(pygame.sprite.Sprite):
def __init__(self, name, num, act, qty, x, y, zoom, lv, ab_point, ATK_growing, DEF_growing, HP_growing, ATK, DEF, SPD, HP, LUK):
pygame.sprite.Sprite.__init__(self)
self.name = name
self.num = num
... | iank8622/Pygame | ability_value.py | ability_value.py | py | 1,940 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.sprite",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "py... |
14789944317 | from unittest.mock import MagicMock, ANY
import pytest
from gitgus.config import Config
from gitgus.workflows.gus_wf import GusWorkflow
from gitgus.gus.sobjects.work import Work
from gitgus.gus.gus_client import GUSClient
from tests.testing_utils import create_wi
from tests.workflows.test_utils import _create_branch
... | mgfreshour/gitgus | tests/workflows/test_gus_wf.py | test_gus_wf.py | py | 4,207 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "gitgus.workflows.gus_wf.GusWorkflow",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 14,
"usage_type": "name"
},
{
... |
36777291511 | from typing import Callable, Any
def check_correct(lexes, result, check: Callable[[Any, Any], bool]):
assert len(lexes) == len(result)
for lex, res in zip(lexes, result):
if isinstance(lex, tuple) and isinstance(res, tuple):
assert check_correct(lex, res, check)
elif isinstance(le... | AzaubaevViktor/brainfuck_ng | lexer/tests/conftest.py | conftest.py | py | 471 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Callable",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 4,
"usage_type": "name"
}
] |
24806850583 | """
============================================
vidgear library code is placed under the MIT license
Copyright (c) 2019 Abhishek Thakur
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software with... | reddytocode/vidgear | vidgear/gears/camgear.py | camgear.py | py | 11,377 | python | en | code | null | github-code | 6 | [
{
"api_name": "pkg_resources.parse_version",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "cv2.__version__",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "re.match",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "pafy.new",
... |
24240947277 | import pandas as pd
from itertools import combinations
import seaborn as sns
import matplotlib.pyplot as plt
class URMC:
def __init__(self,features):
"""
Initializing weights and features
"""
self.feature_columns = features
self.weights = {col: 0 for col in self.feature_col... | brittosabu/URMC | URMC.py | URMC.py | py | 2,556 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "itertools.combinations",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "seaborn.swarmplot",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "matpl... |
8293360337 | import abc
from collections import defaultdict
from typing import Callable, Literal, Optional
import jax.numpy as np
from jax import random
import numpyro
import numpyro.distributions as dist
class ClassDecorator(abc.ABC):
"""
Class decorator interface.
Must supply a __call__ method that takes one argum... | charles-river-analytics/sf_wrap | sf_wrap/wrap.py | wrap.py | py | 19,003 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "abc.ABC",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractmethod",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "abc.ABC",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "jax.random.PRNGKey"... |
30030093588 | import numpy as np
import pandas as pd
import pickle as pkl
import os
import sys
import matplotlib.pyplot as plt
from wordcloud import WordCloud
from utils import stop_words, tokenize
def draw_word_cloud(df, topic, n_articles=50, save=True):
ftopic = df[df['topic_sorted']==topic]
ftopic = ftopic.sort('weigh... | iyounus/tech_news_trends | word_cloud.py | word_cloud.py | py | 2,126 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.tokenize",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "wordcloud.WordCloud",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotli... |
37744647677 | import requests
from bs4 import BeautifulSoup
from dataclasses import dataclass
class Parser:
''' A class holding all the methods related to the interaction client -> website '''
link = 'https://www.imdb.com/'
criterias = {
'Plot': 'plot',
'Quotes': 'quotes',
'Trivia': 'trivia',
'Goofs': 'goofs',
'Crazy ... | Sory-Noroc/MovieAll | tools.py | tools.py | py | 3,831 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 123,
"usage_type": "name"
}
] |
74223178747 | from functools import cached_property
import pandas
import pymc as pm
import pymc.math as pmmath
from scipy.special import expit, logit
import xarray
import numpy
from .pymc_model import PyMCModel
class MUPCEloC(PyMCModel):
"Centered variables for MUPCElo"
model_name = "mu_pc_elo_c"
weight_key = "pc_elo... | cpennington/yomi-skill | src/yomi_skill/models/mu_pc_elo_c.py | mu_pc_elo_c.py | py | 2,234 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymc_model.PyMCModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "scipy.special.logit",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pymc.Model",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pymc.Normal",
... |
18847709784 | import copy
import os
import logging
import subprocess
import contrib.ydb.tests.library.common.yatest_common as yatest_common
from contrib.ydb.tests.library.harness.daemon import Daemon
from contrib.ydb.tests.library.harness.kikimr_runner import get_unique_path_for_current_test, ensure_path_exists
from cloud.blockstor... | ydb-platform/nbs | cloud/blockstore/tests/python/lib/disk_agent_runner.py | disk_agent_runner.py | py | 20,063 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "contrib.ydb.tests.library.harness.daemon.Daemon",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "contrib.ydb.tests.library.common.yatest_common.PortManager",
"line_number":... |
12605621209 | import asyncio
import tornado.platform.asyncio
from asr.server import MainHandler, TaskHandler
if __name__ == '__main__':
tornado.platform.asyncio.AsyncIOMainLoop().install()
application = tornado.web.Application([
(r'/', MainHandler),
(r'/tasks', TaskHandler),
(r'/tasks/(.*)', TaskH... | tongda/asr-demo | main.py | main.py | py | 421 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tornado.platform.asyncio.platform.asyncio.AsyncIOMainLoop",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tornado.platform.asyncio.platform",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tornado.platform.asyncio",
"line_number": 8,
... |
4311934370 | import requests
from bs4 import BeautifulSoup
def scrape_house_detail(url: str):
# detail_page = requests.get(url)
# house_detail_soup = BeautifulSoup(detail_page.text, "html.parser")
# house_detail_file = open("house_detail.html", "w")
# house_detail_file.write(detail_page.te... | psrijan/Data-Collection | detail_scraper.py | detail_scraper.py | py | 1,567 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
}
] |
15561016721 | import io
from fastapi import FastAPI, UploadFile
from PIL import Image
from predict import model_predict
app = FastAPI()
@app.get("/")
def read_root():
return "access /docs to see the post method!"
@app.post("/predict")
def predict_image(file: UploadFile):
content = file.file.read()
img = Image.open... | BrenoAV/ai-model-fastapi-docker | main.py | main.py | py | 404 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fastapi.UploadFile",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"lin... |
26187068173 | import pandas
import os
import regression
from regression import *
from functools import lru_cache
regression.usecols=["Open", "High", "Low", "Close"] # redefine usecols
@lru_cache(1)
def run_correlator():
base_etf = 'spy.us'
etf_list = [x[:x.rfind(".")] for x in os.listdir(base_dir)]
df = get_data(etf... | thales-nascimento/cefetmg_ml_final_project | regressao_logistica/correlator.py | correlator.py | py | 1,288 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "regression.usecols",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "functools.lru_cach... |
12574799254 | import matplotlib.pyplot as plt
import pygal
from random_walk import RandomWalk
from die import Die
# Die Rolling Visualization with Matplotlib
die_1 = Die()
die_2 = Die()
results = [die_1.roll() + die_2.roll() for _ in range(50000)]
max_result = die_1.num_sides + die_2.num_sides
frequencies = [results.count(value)... | NRinc/Visualization-data | combination of pygal and matplotlib/combination_of_pygal_and_matplotlib.py | combination_of_pygal_and_matplotlib.py | py | 835 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "die.Die",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "die.Die",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_num... |
71314470587 | import sys
from PyQt5.QtWidgets import *
from PyQt5.QtCore import Qt
class MyWindow(QWidget):
def __init__(self):
super().__init__()
self.setupUI()
def setupUI(self):
self.setGeometry(800, 200, 700, 700)
groupBox = QGroupBox("리뷰 요약")
checkBox1 = QCheckBox(... | leekwangeun/22112022_Leekwangeun_SoftwareDesign | selenium/multicolumn.py | multicolumn.py | py | 2,831 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtCore.Qt.AlignRight",
"line_number": 67,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore.Qt",
"line_number": 67,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 81,
"usage_type": "attribute"
}
] |
41198102030 | import torch
import argparse
import os
import re
import numpy as np
import PIL
from torch import nn
from torch.utils.data import DataLoader, Dataset, random_split
from torchvision.transforms import ToTensor, Compose
import torchvision.datasets as datasets
from accelerate import Accelerator
from torchvision.transforms ... | xi-studio/pl-swin-transformer | Unet/simple_unet.py | simple_unet.py | py | 4,551 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.ones",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.ones",
... |
30740786209 | from random import randint
import cv2
import matplotlib
import numpy as np
import tensorflow as tf
from matplotlib import pyplot as plt
from numpy.random import seed as np_seed
from sklearn.utils import shuffle
from tensorflow.python.framework.random_seed import set_seed
from tensorflow.python.keras import Model
from ... | Brachistochrone/computer-vision-course | homework_14/main.py | main.py | py | 5,607 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "matp... |
23616964046 | from setuptools import setup
import pathlib
# The directory containing this file
HERE = pathlib.Path(__file__).parent
# The text of the README file
README = (HERE / "README.md").read_text(encoding='utf-8')
setup(
name='reactivity',
version='0.0.2',
py_modules=['reactivity'],
description='a python vesi... | Xu-pixel/vue-reactivity-python | setup.py | setup.py | py | 581 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
}
] |
26067610655 | import pytest
from calcscore import round_score
# you'll be picking what teams make it to the next round
# - so picking 32, then 16, then 8, 4, 2, 1...i.e. round 1-6 winners
# teams will have a name & a seed
# seed doesn't change, so maybe make that not passed around w/ results
def test_round_score_invalid_round():... | BrandonLeiran/bracket-scoring | test_calcscore.py | test_calcscore.py | py | 809 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytest.raises",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "calcscore.round_score",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "calcscore.round_sco... |
70454123707 | #!/usr/bin/env python3
import subprocess
import argparse
import os
import glob
import shutil
import math
from array import array
def GlyRotHelper(glycur,glylen,glynum,glyend,gro_in,args,tempdir):
print('current glycan contains residues ' + str(glycur) + ' to ' + str(glycur+glylen-1))
topfile = '../' + args.top
tpr... | austenb28/GlyRot | bin/GlyRot.py | GlyRot.py | py | 9,765 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "subprocess.Popen",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "subprocess.PIPE",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "subprocess... |
7854954782 | from typing import List
from day_8.part_1 import read_file
class TreeVisibiltyCalc:
data: List[List[str]]
height: int
width: int
def __init__(self, data):
self.data = data
self.height = len(self.data)
self.width = len(self.data[0])
def check_if_visible(self, character, l... | TrialAndErrror/advent-2022-python | day_8/part_2.py | part_2.py | py | 2,488 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "day_8.part_1.read_file",
"line_number": 67,
"usage_type": "call"
}
] |
37114525939 | import logging
import matplotlib.pylab as plt
import numpy as np
from pyparsing import col
import seaborn as sns
from matplotlib.patches import Rectangle
from stable_baselines3 import DQN
from metareasoning_env import EXPANSION_STRATEGY_MAP, MetareasoningEnv
RUN_NAME = 'fanciful-plant-61'
RUN_CHECKPOINT = 'final'
... | justinsvegliato/metareasoning-for-state-abstractions | metareasoning_simulator.py | metareasoning_simulator.py | py | 5,145 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "metareasoning_env.EXPANSION_STRATEGY_MAP.values",
"line_number": 39,
"usage_type": "call"
},
{
... |
72014619388 | from mpqa_datahelpers import collect_opinion_entities
import numpy as np
import os
import json
import stanza
from tqdm import tqdm
from nltk.tokenize.simple import SpaceTokenizer
tk = SpaceTokenizer()
class Subelement():
def __init__(self, type, texts, offsets):
self.type = type
self.texts = tex... | jerbarnes/semeval22_structured_sentiment | data/mpqa/process_mpqa.py | process_mpqa.py | py | 16,370 | python | en | code | 71 | github-code | 6 | [
{
"api_name": "nltk.tokenize.simple.SpaceTokenizer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 184,
"usage_type": "call"
},
{
"api_name": "numpy.argmin",
"line_number": 185,
"usage_type": "call"
},
{
"api_name": "numpy.... |
74173153788 | # -*- coding: utf-8 -*-
"""Methods used in initialization of scanner."""
from collections import deque
from copy import deepcopy
from graphtransliterator import DirectedGraph
import re
def _constrained_parsers_of(constraints, long_parser, short_parser):
"""
Create a dict of parsers based on constraints.
... | urdubiometer/urdubiometer | urdubiometer/scanner/initialize.py | initialize.py | py | 19,336 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 126,
"usage_type": "call"
},
{
"api_name": "graphtransliterator.DirectedGraph",
"line_number": 127,
"usage_type": "call"
},
{
"api_name": "graphtra... |
71157586749 | import os
import json
from models.token import Token
NULL_ADDRESS = "0x0000000000000000000000000000000000000000"
# Contracts
POLYGON_MATIC_ADDRESS = "0x0000000000000000000000000000000000001010"
ZERION_ROUTER_ADDRESS = "0xd7F1Dd5D49206349CaE8b585fcB0Ce3D96f1696F"
ZERION_ROUTER_ABI = json.load(open(os.path.abspath("... | medadon41/zerion-swap | utils/constants.py | constants.py | py | 2,027 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number":... |
34418885123 | from __future__ import annotations
import random
import cv2
import math
import numpy as np
from matplotlib import pyplot as plt
from app_cv_test.common import *
def show_image(title, img, destroy_all=True):
cv2.imshow(title, img)
cv2.waitKey(0)
if(destroy_all):
cv2.destroyAllWindows()
def show_... | macchan1978/python_study | opencv_test.py | opencv_test.py | py | 4,109 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imshow",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.Mat",
"line_numb... |
40252774085 | import os
from pathlib import Path
from lib import create_from_template, add_git, create_project, get_title
if __name__ == "__main__":
DIR_PROJECT_FOLDER, args = create_project("electron")
project = args.project
file_name = Path.joinpath(DIR_PROJECT_FOLDER, "package.json")
create_from_template("cep_... | nelreina/project-generator | src/create-electron-app.py | create-electron-app.py | py | 2,796 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "lib.create_project",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.joinpath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "lib.create_from_... |
35816966845 | # -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function)
from itertools import product
import os
import numpy as np
import pytest
from chemreac import ReactionDiffusion
from chemreac.symbolic import SymRD
from chemreac.util.banded import get_banded
from chemreac.util.grid import p... | chemreac/chemreac | chemreac/tests/test_reactiondiffusion.py | test_reactiondiffusion.py | py | 34,142 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "itertools.product",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
... |
2052232108 | import numpy as np
import matplotlib.pyplot as plt
n = int(input("Enter the number of terms:"))
f = np.zeros(n, dtype=np.int16)
a = 0
b = 1
for i in range(1, n):
a, b = b, a+b # swap and unpack
f[i] = a
print("The fibonacci series upto {} term(s) is(are):".format(n), f)
plt.figure()
plt.plot(f, color='r',... | arunprasaad2711/Python_IISC_SIAM_2017 | tryouts/fib.py | fib.py | py | 527 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.int16",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
37731784103 | import logging
from assembler import Assembler
from simplifier import Simplifier
from decoder import Decoder
from disassembler import Disassembler
from utils.rendergraph import render_graph
from verifier import verify_graph
logger = logging.getLogger(__name__)
def find_oep(insBytes):
"""
Finds the original ... | extremecoders-re/bytecode_simplifier | deobfuscator.py | deobfuscator.py | py | 3,104 | python | en | code | 85 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "decoder.Decoder",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "disassembler.Disassembler",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "utils.ren... |
71971229309 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
from containerregistry.client.v2 import docker_image as v2_image
from containerregistry.client.v2 import util as v2_util
from containerregistry.client.v2_2 import docker_digest
from containerregis... | kubeflow/fairing | containerregistry/client/v2_2/v2_compat_.py | v2_compat_.py | py | 9,845 | python | en | code | 336 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "containerregistry.client.v2_2.docker_image.DockerImage",
"line_number": 76,
"usage_type": "attribute"
},
{
"api_name": "containerregistry.client.v2_2.docker_image",
"line_number": 76,
"u... |
30929842095 | from typing import List, Optional, Mapping, Any
import torch
import logging
import asyncio
from langchain import PromptTemplate, LLMChain, OpenAI
from langchain.document_loaders import TextLoader, DirectoryLoader
from langchain.text_splitter import CharacterTextSplitter
from langchain.vectorstores import FAISS, Chroma... | inforix/lll | main.py | main.py | py | 12,757 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",... |
38666397767 | import time
import datetime
import numpy as np
import cv2
import os
import csv
keypoint_names = [
"nose",
"left_eye",
"right_eye",
"left_ear",
"right_ear",
"left_shoulder",
"right_shoulder",
"left_elbow",
"right_elbow",
"left_wrist",
"right_wrist",
"left_hip",
"right... | kubabar1/MMPoseComputationComplexityTest | utils/pose_estimation_utils.py | pose_estimation_utils.py | py | 3,368 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.copy",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "cv2.circle",
"line_number... |
2126384578 | import itertools
from src.analyze import stance_analyze
from src.classes.stance import Stance
from src.classes.data import importance
from src.classes.data.result_data import ResultData
from src.constants import database as db_constants
from src.constants import logger
from src.constants import outcomes
from src.datab... | WEB3-GForce/VOTE | src/analyze/decision_analyze.py | decision_analyze.py | py | 8,118 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "src.constants.logger.LOGGER.info",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "src.constants.logger.LOGGER",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "src.constants.logger",
"line_number": 24,
"usage_type": "name"
},
{... |
23404432532 | """The transcription command to run ASR providers against a dataset."""
import argparse
import asyncio
import importlib
import json
import os
from pathlib import Path
from typing import Dict, List, Tuple, Union
import aiohttp
from datasets import load_dataset
from rich import print
from rich.live import Live
from ric... | Wordcab/rtasr | src/rtasr/cli/transcription_command.py | transcription_command.py | py | 17,208 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "argparse.Namespace",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 148,
"usage_type": "name"
},
{
"api_name": "typ... |
7730784450 | # # streamlit_app.py
import streamlit as st
import psycopg2
import pandas as pd
# Initialize connection.
# Uses st.cache_resource to only run once.
@st.cache_resource
def init_connection():
return psycopg2.connect(**st.secrets["postgres"])
conn = init_connection()
# Perform query.
# Uses st.cache... | kaushik108108/JEE | jee_ranks.py | jee_ranks.py | py | 3,971 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "psycopg2.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "streamlit.secrets",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "streamlit.cache_resource",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "... |
38678083172 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
#gradient decent you should implement it
def step_gradient(b_current, m_current, points, learningRate):
N = float(len(points))
for i in range(0, len(points)):
x = points[i, 0]
y = points[i, 1]
# h(x) = predicted_y = ... | 5amessi/how-deep-is-deep-learning | linear_regression/practice/linear_regression.py | linear_regression.py | py | 2,768 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "matpl... |
4434463826 | from django.urls import path
from . import views
app_name = 'detect'
urlpatterns = [
# 로딩 화면
path('',views.index, name='index'),
# uploadview
path('uploadview/', views.uploadview, name='uploadview'),
# main list 화면
path('listpage/', views.listpage, name='listpage'),
# file upload
pa... | hamahama9659/A.I.project_django_bigData | detect/urls.py | urls.py | py | 691 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
427235322 | # -*- coding: utf-8 -*-
"""
Tests for abagen.images module
"""
import gzip
from pkg_resources import resource_filename
import nibabel as nib
import numpy as np
import pandas as pd
import pytest
from abagen import images
from abagen.matching import AtlasTree
@pytest.fixture(scope='module')
def annotation(tmp_path_f... | rmarkello/abagen | abagen/tests/test_images.py | test_images.py | py | 9,091 | python | en | code | 75 | github-code | 6 | [
{
"api_name": "numpy.tile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "nibabel.freesurfer.write_annot",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "nibabel.frees... |
41296308589 | from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect
from django.contrib.auth.views import LogoutView
from django.contrib.auth import logout
from django.contrib import messages
from django.urls import reverse_lazy
from django.utils.decorators import method_decorator
fr... | aaricantto/kickit-development | backend/users/views/account.py | account.py | py | 2,221 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "users.models.EventManagerApplication.objects.get_or_create",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "users.models.EventManagerApplication.objects",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "users.models.EventManagerApplication... |
70702894267 | from flask import Flask, render_template, session, jsonify
import requests
app = Flask(__name__)
app.secret_key = 'your_secret_key' # Set a secret key for session encryption
@app.route("/")
def home_page():
session['visits'] = session.get('visits', 0) + 1 # Increment page visit count
return render_template(... | Haknin/jenkins_docker | app.py | app.py | py | 1,332 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.session.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
21359526810 | """Clean Code in Python - Chapter 7: Generators, Iterators, and Asynchronous Programming
> Asynchronous programming / asynchronous iteration
"""
import asyncio
async def coroutine(index: int) -> int:
await asyncio.sleep(0.1)
return index * 1_000
class RecordStreamer:
def __init__(self, max_rows=100) ->... | rmariano/Clean-code-in-Python | book/src/ch07/src/async_iteration.py | async_iteration.py | py | 1,132 | python | en | code | 145 | github-code | 6 | [
{
"api_name": "asyncio.sleep",
"line_number": 9,
"usage_type": "call"
}
] |
14728512830 | from flask import Flask, render_template ,request
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql://root:@localhost/enchatmoves'
db = SQLAlchemy(app)
class Contacts(db.Model):
srNo = db.Column(db.Integer ,... | veda424/dance-website-using-flask | flask_1/main.py | main.py | py | 1,144 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "flask... |
38401769015 | #!bash/python
from queue import Queue
import socket
import threading
import pyfiglet
import datetime
from datetime import *
# Banner
ascii_banner = pyfiglet.figlet_format("NEED PORT SCANNER")
print(ascii_banner)
print("*" * 50)
target = input('What target do you want to scan?: ')
queue = Queue()
open_ports = []
print("... | NEED-Programming/Python-Programs | Ethical Hacking/Port Scanners/Threaded_Port_Scanner.py | Threaded_Port_Scanner.py | py | 1,917 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyfiglet.figlet_format",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"l... |
35843718944 | from defines import SolutionResult
import json
class Solution:
def __init__(self, instance_name: str, algo_name: str, makespan: int = 0, sum: int = 0,
result: str = SolutionResult.RUNNING.name, steps: list = None, extra_data= None):
if steps is None:
steps = []
if ext... | Ysommer/SoGC2021_tech | controlCenter/solution/solution.py | solution.py | py | 2,103 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "defines.SolutionResult.RUNNING",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "defines.SolutionResult",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "defines.SolutionResult",
"line_number": 22,
"usage_type": "name"
},
{
"a... |
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