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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
37995248075 | from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
import logging
class DataQualityOperator(BaseOperator):
"""
This is used for data quality checks on the tables.
Parameters
----------
- BaseOberator: Airf... | JANHMS/Automate_data_pipelines_with_Airflow | plugins/operators/data_quality.py | data_quality.py | py | 1,629 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "airflow.models.BaseOperator",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "airflow.utils.decorators.apply_defaults",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "airflow.hooks.postgres_hook.PostgresHook",
"line_number": 29,
"usage_t... |
358150804 | import os
import random
import discord
from dotenv import load_dotenv
from discord.ext import commands
from redditgrabber.main_classes import RedditAPI
from twitterinterface.main import User_OAuth, User_Unauthenticated
bot = commands.Bot(command_prefix="+")
class DiscordBot:
def __init__(self):
load_doten... | nibble90/jacobbot-discord | bot.py | bot.py | py | 5,418 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.get... |
41761105577 | import pygame as p
p.init()
b=(0,0,0)
w=(255,255,255)
b2=(0,0,255)
g=(0,255,0)
r=(255,0,0)
s=[400,300]
s2=p.display.set_mode(s)
p.display.set_caption("겜판")
d=False
c=p.time.Clock()
while not d:
c.tick(10)
for event in p.event.get():
if event.type == p.QUIT:
... | dlatpdbs/pygame | 2020.6.3 겜판.py | 2020.6.3 겜판.py | py | 344 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
71913875388 | import torch
from torch import nn
from torch.nn.parameter import Parameter
__all__ = [
"AbsoluteSinusoidalPE",
"AbsoluteLearnablePE",
]
class AbsoluteSinusoidalPE(nn.Module):
"""The Absolute Sinusoidal Positional Encoding Module
A. Vaswani et al., “Attention Is All You Need.” arXiv, Aug. 01, 2023. Acc... | zty200489/sifeng | sifeng/dl/modules/positional_encoding.py | positional_encoding.py | py | 2,807 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Dropout",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
18835478405 | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
import numpy as np
import time
from os import mkdir
from os.path import join, isdir
from torch.utils.data import random_split, DataLoader
from datetime import date
from torchv... | TTThanos/PEFGAN-for-rainfall | PEFGAN/Test_code.py | Test_code.py | py | 9,863 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "datetime.date",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
73687597949 | from fontParts.world import *
import string
fontPath = "IBM Plex Serif-Regular.ufo"
biggies = {
# glyphName: (1,2,3,4,80) #x,y,w,h,extra(=smaller in the box)
'A': (1, 0, 2, 3, 250),
"uni0414": (4, 2, 2, 3, 240),
#"Zhecyr": (9, 6, 3, 5, 240),
# choice(f.keys()): (5, 1,2, 3,120),
}
font =... | thomgb/pythonTypeThings | DrawBot/GridSpecimen.py | GridSpecimen.py | py | 4,772 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fontTools.pens.cocoaPen.CocoaPen",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_number": 80,
"usage_type": "attribute"
}
] |
23653193080 | from csv import DictReader, writer
from dataclasses import dataclass
from decimal import Decimal
import os
import re
@dataclass
class Piece():
name: str
thickness: Decimal
width: Decimal
length: Decimal
decor: str
def piece_from_dict(row:dict) -> Piece:
"""
returns a Piece object if the 'P... | sebastian-tschen/schrank-og2 | fix_bom.py | fix_bom.py | py | 1,561 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "decimal.Decimal",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "decimal.Decimal",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "decimal.Decimal",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass... |
39902062761 | from bs4 import BeautifulSoup
import gzip
import logging
import pandas as pd
import urllib.request
from util import create_directory_if_not_exists
class ParseXMLData:
"""Download xml data and parse it to pandas DataFrame."""
def __init__(self, url: str, file_path: str, pandas_columns: list):
"""Init... | artemkozlov752/DBLP_Processor | parsers/ParseXMLData.py | ParseXMLData.py | py | 3,103 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "util.create_directory_if_not_exists",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.urlretrieve",
"line_number": 40,
"usage_type": "call"
},
... |
39359043181 | import time
import selenium
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.support.ui import Select
from selenium.webdriver.common.alert import Alert
#driver=webdriv... | Paviterence/Selenium-Python-BasicCodes | dropdown_with_css_selector.py | dropdown_with_css_selector.py | py | 3,789 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.ID",
"line_number": 15,
"usage_type": "attribute"
},
{
... |
42664773461 | from functools import wraps
from ipaddress import ip_address
from typing import Callable, Optional
from pymodbus import client
from pymodbus.constants import Defaults
from pymodbus.exceptions import ModbusIOException
from pymodbus.framer import rtu_framer, socket_framer
from pymodbus.register_read_message import ReadI... | ograsdijk/CPA1110 | cpa1110/device.py | device.py | py | 6,677 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Callable",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "functools.wraps",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "cpa1110.attributes.FloatProperty",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "cpa1... |
18244598384 | import requests
from .strava_auth import build_credentials, get_cookie_valid
from ..common import poll_calendar
from datetime import datetime
from utils import get_key
from utils.database import get_database_connection, generate_sql_datafields, generate_sql_datafields_multiple, sql_select
API_URL = "https://www.strava... | cg-Kdaf/Replica | src/external_services/strava/strava_activities.py | strava_activities.py | py | 11,339 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "strava_auth.build_credentials",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "date... |
30788902174 | from django.shortcuts import render,redirect,HttpResponse,HttpResponseRedirect,get_object_or_404
from .models import *
from .forms import *
from django.contrib import messages
from django.http import Http404
from django.template.loader import get_template
from xhtml2pdf import pisa
from django.template.loader import ge... | Sayeedh784/Marital-Status | status/views.py | views.py | py | 9,260 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.success",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages",
"line_number": 22,
"usage_type": "name"
},
{
"a... |
26095524740 | import sys
import logging
from nmap import PortScannerHostDict
class MockPortScanner:
"""MockPortScanner allows to use a mock version of nmap from Python."""
def __init__(self):
"""Initialize MockPortScanner module."""
logging.debug("Creating MockPortScanner")
self._scan_result = {}
... | aHugues/port-eye | port_eye/mock_nmap.py | mock_nmap.py | py | 17,233 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.debug",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.version_info",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "nmap.PortScannerHostDict",
"line_number": 346,
"usage_type": "call"
},
{
"api_name": "sys.ver... |
4635525235 | import matplotlib.pyplot as plt
import json
import numpy as np
id = 'handcraft_RNN_3'
filename = 'statistics/'+id
filename += '.json'
with open(filename, 'r') as f:
log = json.load(f)
train_accuracy = log['train_accuracy']
test_accuracy = log['test_accuracy']
train_loss = log['train_loss']
test_loss = log... | ChiWeiHsiao/Deep-Learning-Assignment | 4-RNN/plot.py | plot.py | py | 1,341 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.amax",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line... |
33049952078 | '''Loading libraries'''
import pandas as pd
import numpy as np
import time
from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matrix,f1_score
from scipy.stats import gamma
import copy
from sklearn.metrics.pairwise import cosine_similarity
'''
Notes:
- Datalimit V = 3500
- 1000s... | raquelaoki/MLCB2019 | MLCB/script_v010_mlcb.py | script_v010_mlcb.py | py | 13,627 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_nu... |
8102262691 | # -*- coding:shift-jis -*-
import getpass
user = getpass.getuser()
import os
currentWorkingDirectory = "C:\\Users\\{0}\\Desktop\\PySong2\\eSignal".format(user)
os.chdir(currentWorkingDirectory)
import sys
sys.path.append('../PythonStats/x64/Debug/')
sys.path.append('../PythonStats/x64/Release/')
sys.path.a... | ys2310/eSignal | 中心限月(Futures).py | 中心限月(Futures).py | py | 23,757 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "getpass.getuser",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": ... |
38336224522 | #!/usr/bin/python
from websocket import create_connection
import unittest
from common import read_info
from common import read_message
from common import check_action as c
from common import json_diff as d
import time
import json
class websocket_request(unittest.TestCase):
"""21. 读取joint配置信息 & 22. 修改motion配置信... | leen0910/websocket_api | websocket_api/test_case/test18_MontionConfig.py | test18_MontionConfig.py | py | 2,036 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "common.read_info.ReadInfo",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "common.read_info",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "web... |
20600642841 | from typing import Union, List
from pathlib import Path
import jinja2
import re
from synthtool import log
from synthtool import tmp
PathOrStr = Union[str, Path]
def _make_env(location):
env = jinja2.Environment(
loader=jinja2.FileSystemLoader(str(location)),
autoescape=False,
keep_trai... | googleapis/google-cloud-java | owl-bot-postprocessor/synthtool/sources/templates.py | templates.py | py | 3,706 | python | en | code | 1,781 | github-code | 6 | [
{
"api_name": "typing.Union",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "jinja2.Environment",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader"... |
70396796347 | import chex
import numpy.testing as npt
import pytest
from shinrl import CartPole
@pytest.fixture
def setUp():
config = CartPole.DefaultConfig(dA=5)
return config
def test_to_discrete_act(setUp):
from shinrl.envs.mountaincar.calc import to_discrete_act
config = setUp
act = to_discrete_act(conf... | omron-sinicx/ShinRL | tests/envs/cartpole/cartpole_calc_test.py | cartpole_calc_test.py | py | 1,448 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "shinrl.CartPole.DefaultConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "shinrl.CartPole",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "shin... |
4702570744 | '''
给你一个下标从 0 开始的整数数组 nums 。
现定义两个数字的 串联 是由这两个数值串联起来形成的新数字。
例如，15 和 49 的串联是 1549 。
nums 的 串联值 最初等于 0 。执行下述操作直到 nums 变为空：
如果 nums 中存在不止一个数字，分别选中 nums 中的第一个元素和最后一个元素，将二者串联得到的值加到 nums 的 串联值 上，然后从 nums 中删除第一个和最后一个元素。
如果仅存在一个元素，则将该元素的值加到 nums 的串联值上，然后删除这个元素。
返回执行完所有操作后 nums 的串联值。
'''
from typing import List
class Solutio... | relidaning/myPython | leetcode/2562.py | 2562.py | py | 1,116 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
}
] |
25816878328 | ###############################################
# Student_ID : 99131009 #
# Name : Najmeh #
# Last Name : Mohammadbagheri #
# E-mail : Najmeh.mohammadbagheri77@gmail.com #
###############################################
import numpy as np
import pandas... | najmemhmdb/Machine-Learning-Hws | ML_HW4/SVM.py | SVM.py | py | 2,366 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.dot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_fwf",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selecti... |
1712958551 | import os
import sys
import time
import socket
import paramiko
import scp
class TransferAgent:
def __init__(self, config, data_dir):
self.remote_user = config['Network']['remote_user']
self.remote_host = config['Network']['remote_host']
self.remote_path = config['Network']['remote_path'... | willdickson/ethocam | software/ethocam_daq/ethocam_daq/file_transfer.py | file_transfer.py | py | 2,852 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "socket.gethostname",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "paramiko.SSHClient",
... |
45254708036 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 26 11:31:00 2021
@author: kirsh012
Description: Plots Autoencoder results without an AUC threshold
"""
import time
start = time.time()
from pathlib import Path
import os
import sys
import numpy as np
import matplotlib.pyplot as plt
import seab... | tk27182/masters-thesis | Code/plot_autoencoder_results.py | plot_autoencoder_results.py | py | 4,120 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number":... |
37377212508 | import os
import yaml
import os.path as osp
from utils.util import OrderedYaml
Loader, Dumper = OrderedYaml()
def parse(opt_path):
with open(opt_path, mode='r') as f:
opt = yaml.load(f, Loader=Loader)
os.environ['CUDA_VISIBLE_DEVICES'] = opt['gpu_ids']
opt['path']['root'] = osp.abspath(osp.jo... | XLearning-SCU/2023-CVPR-FPL | codes/options/options.py | options.py | py | 1,854 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "utils.util.OrderedYaml",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
... |
529460697 | import requests, re, time
base_url = 'http://jwglxt.gxufe.edu.cn/taglib/DataTable.jsp?tableId=6393005'
all_list = []
form_header = {
"Host": "jwglxt.gxufe.edu.cn",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:78.0) Gecko/20100101 Firefox/78.0",
"Accept": "text/html,application/xhtml... | lingyunyi/PythonLittleProject | 210311 - caiyuanSocrePull/main.py | main.py | py | 2,029 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 40,
"usage_type": "call"
}
] |
5034452234 | """
refactors out the logic of handling files from the server itself
"""
from drapache import dbpy
import re
import os
from drapache import util
from drapache.util.http import Response
import markdown
def register(handler_list,checkfunction,func):
handler_list.append({'check':checkfunction,'handler':func})
d... | louissobel/Drapache | drapache/dbfilehandlers.py | dbfilehandlers.py | py | 4,209 | python | en | code | 199 | github-code | 6 | [
{
"api_name": "drapache.dbpy.execute.execute",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "drapache.dbpy.execute",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "drapache.dbpy",
"line_number": 56,
"usage_type": "name"
},
{
"api_name":... |
4830402283 | from django.contrib.auth import authenticate, login
from django.shortcuts import render
from django.http import HttpResponse, Http404, HttpResponseRedirect, QueryDict
from django.views import View
from graf_analysis import grafanaFormatter
from sosgui import _log, settings
from sosdb import Sos
import traceback as tb
i... | nick-enoent/sosdb-grafana | grafana/views.py | views.py | py | 14,020 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sosgui._log.MsgLog",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sosgui._log",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "numpy.integer",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.floating",
... |
21200921834 | import json
import os.path
with open('./text/AA/wiki_00', encoding='utf-8') as file:
file_contents = file.read()
json_objects = json.loads(file_contents)
for item in json_objects:
item_id = item['id']
if os.path.isfile('./wikidata/' + str(item_id) + '.jpg'):
with open('./wikidata/' + str(item_id)... | markoeltermann/CourseProject | WikiXmlPostProcesssing.py | WikiXmlPostProcesssing.py | py | 565 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.path.isfile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_n... |
9767157490 | from collections import Iterable
import networkx as nx
import numpy as np
from rich import print as rprint
def solve_mapping(possibilities: dict[any, Iterable]) -> dict:
"""
Takes a dict of possible values each key can take on,
and applies a bipartite maximum matching to solve the constraints.
:para... | smartspot2/advent-of-code | common/utils/misc_utils.py | misc_utils.py | py | 2,834 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Iterable",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "networkx.Graph",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "networkx.bipartite.maximum_matching",
"line_number": 19,
"usage_type": "call"
},
{
"api_name":... |
27651183947 | import sys
from classes.grafo_lista_adj import GrafoListaAdj
from classes.grafo_matriz_adj import GrafoMatrizAdj
from utils.obter_arestas import obterArestas
import itertools
class GrafoLib:
def __init__(self, config):
self.tipo_representacao = config['tipo_representacao']
self.caminho_arq = confi... | thiago1591/grafos-lib | classes/grafo_lib.py | grafo_lib.py | py | 5,520 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "utils.obter_arestas.obterArestas",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "classes.grafo_lista_adj.GrafoListaAdj",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "classes.grafo_matriz_adj.GrafoMatrizAdj",
"line_number": 22,
"usag... |
34861228677 | from statuspage.forms import StatusPageModelBulkEditForm
from utilities.forms import StaticSelect, StaticSelectMultiple, add_blank_choice, BulkEditNullBooleanSelect
from .. import choices
from ..models import Incident, IncidentUpdate, IncidentTemplate
from django import forms
from components.models import Component
__... | Status-Page/Status-Page | statuspage/incidents/forms/bulk.py | bulk.py | py | 2,779 | python | en | code | 45 | github-code | 6 | [
{
"api_name": "statuspage.forms.StatusPageModelBulkEditForm",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.forms.ChoiceField",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.forms",
"line_number": 16,
"usage_type": "name"
},
{
... |
14951215246 | """modify users column make email unique
Revision ID: 57754eb9dc08
Revises: de5cc16433c6
Create Date: 2023-07-09 12:07:29.270265
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '57754eb9dc08'
down_revision = 'de5cc16433c6'
branch_labels = None
depends_on = None... | Ruzell11/web-py | alembic/versions/57754eb9dc08_modify_users_column_make_email_unique.py | 57754eb9dc08_modify_users_column_make_email_unique.py | py | 653 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alembic.op.alter_column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.String",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op.creat... |
70143356987 | import pytest
from src.user.tests.conftest import VALID_ADDRESS, OTHER_VALID_ADDRESS, INVALID_ADDRESS_FIELDS
from src.user.address_management import Address
@pytest.mark.django_db
class TestAddressCreationSuccess:
def test_correct_http_response(self, create_address):
"""GIVEN valid address and an authen... | JokusPokus/pcb_shop | src/user/tests/address_api_tests.py | address_api_tests.py | py | 14,169 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "src.user.tests.conftest.VALID_ADDRESS.copy",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "src.user.tests.conftest.VALID_ADDRESS",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "src.user.tests.conftest.VALID_ADDRESS",
"line_number": 39,
... |
15925985053 | import serial
import signal
import sys
capture = True
def signal_handler(sig, frame):
global capture
print('You pressed Ctrl+C!')
capture = False
signal.signal(signal.SIGINT, signal_handler)
print('Press Ctrl+C')
buffSize = 360
port = '/dev/ttyACM0'
baudrate = 4000000
ser = serial.Serial(None, baudrat... | avionic-iot-aviot/SDNWiMesh | microphone-receiver.py | microphone-receiver.py | py | 946 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "signal.signal",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "signal.SIGINT",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "serial.Serial",
"line_number": 20,
"usage_type": "call"
}
] |
5702215101 | #-*- coding:utf-8 -*-
import urllib.request,json
import smtplib
import email.mime.multipart
from email.mime.text import MIMEText
def weather_ali():
host = 'http://jisutqybmf.market.alicloudapi.com'
path = '/weather/query'
method = 'GET'
appcode = 'appcode'
querys = 'city=%E6%88%90%E9%83%BD&citycode=... | qq1066536/MyCodeGit | python/阿里天气.py | 阿里天气.py | py | 2,615 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "urllib.request.request.Request",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 14,
"usage_type": "name"
},
{
"api_nam... |
27366339916 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import xml.sax
import xml.sax.handler
class AnnotationData:
def __init__(self):
self.serial = ''
self.bookName = ''
self.bookId = 0
self.starthtmlPath = ''
self.startparagraphId = 0
self.startelementId = 0
self.start... | 2240831304/pythonserver | readrecord/handlerequest/annotationdataparse.py | annotationdataparse.py | py | 3,147 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xml.sax.sax",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "xml.sax",
"line_number": 27,
"usage_type": "name"
}
] |
28569439772 | """
I don't know what exactly this module does
"""
from vk_api import make_vk_api_request
from creds import access_token
import json
def load_json_data_from_file(filename):
with open(filename) as data_file:
data = json.load(data_file)
return data
def get_id_list(json_data):
id_list = []
for... | dlbas/vk_telebot | get_recent_news.py | get_recent_news.py | py | 707 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "vk_api.make_vk_api_request",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "creds.access_token",
"line_number": 28,
"usage_type": "argument"
}
] |
11354658233 | #!/usr/bin/env python
"""
WordCNN Model from
Kim Y. 2014. Convolutional Neural Network for
Sentence Classification In Proceedings of EMNLP.
"""
from keras.layers import Input, Dense, Embedding, Convolution1D, MaxPooling1D
from keras.layers import Flatten, Concatenate, Dropout
from keras.models import Model
from keras.... | jihopark/abusive-language | model/word_cnn.py | word_cnn.py | py | 2,392 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "keras.layers.Input",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras.layers.Embedding",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "keras.layers.Embedding",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "kera... |
23394127209 | from django.shortcuts import render
from django.http import HttpResponse
from .models import Site, Version
from . import scraper
from .notify_helper import notify
def versionView(request, version):
v = Version.objects.filter(id=version).first()
return render(request, 'observer/version.html', {'v': v, 'update... | TYuto/web_observer | observer/views.py | views.py | py | 1,345 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Version.objects.filter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Version.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.Version",
"line_number": 10,
"usage_type": "name"
},
{
"api_name... |
38829532815 | from django.shortcuts import redirect, render
from .models import ChatRoom , Privatenotifications
from django.contrib.auth.decorators import login_required
from django.http import JsonResponse
from django.utils.dateformat import DateFormat
from django.utils.formats import get_format
from django.contrib import messages... | hiteshkhatana/chatroom | chat/views.py | views.py | py | 3,676 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 14,
"usage_type": "call"... |
30357670961 | import logging
from pyface.qt import QtCore, QtGui, is_pyside
from traits.api import Any, Callable, List, Str, TraitError, Tuple
from .editor_factory import TextEditor as BaseTextEditor
from .editor import EditorWithList
logger = logging.getLogger(__name__)
# -----------------------------------------------------... | enthought/traitsui | traitsui/qt/check_list_editor.py | check_list_editor.py | py | 8,679 | python | en | code | 290 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "editor.EditorWithList",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "traits.api.List",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "traits.api.St... |
31644510539 | from __future__ import annotations
from typing import List
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.orm import Session
from starlette.responses import Response
from ecommerce.auth.jwt import get_current_user
from ecommerce.db import db
from ecommerce.products import schema, servi... | lordavadon2/ecommerce-fastapi | ecommerce/products/router.py | router.py | py | 3,263 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ecommerce.products.schema.Category",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "ecommerce.products.schema",
"line_number": 21,
"usage_type": "name"
},
{
... |
3027354466 | from __future__ import absolute_import, print_function
import torch
import numpy as np
import torch.fft
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
# Derives from ProGamerGov's implementation of color decorellation.
class RGB_decorrelation:
def __init__(self):
self.color_corr... | Perrigatoni/Feature-Visualization | featurevis/image_classes.py | image_classes.py | py | 5,958 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
... |
34441386926 | """Implementation of a Logger class."""
import json
import os
import numpy as np
import torch
class Logger(object):
"""Class that implements a logger of statistics.
Parameters
----------
name: str
References
----------
Code from https://github.com/sebascuri/rllib.git.
"""
def _... | nuria95/O-RAAC | oraaclib/util/logger.py | logger.py | py | 1,845 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_numb... |
55821638 | import os
import sys
import json
import datetime
import numpy as np
import skimage.draw
import cv2
import matplotlib.pyplot as plt
import tensorflow as tf
from keras.backend.tensorflow_backend import set_session
# Habilitando o Tensorflow para operar na GPU
config = tf.ConfigProto(gpu_options = tf.GPUOptions(per_proce... | AndersonOliveiraDaRocha/BiMasterPucRio | CUSTOM/custom.py | custom.py | py | 7,049 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.ConfigProto",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.GPUOptions",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras... |
15798551751 | from typing import List
import math
import tensorflow as tf
from keras import backend as K
from keras import layers
from keras.models import Model
from keras.utils import get_file
from keras.utils import get_source_inputs
from keras_applications.imagenet_utils import _obtain_input_shape
from keras_applications.imagene... | titu1994/keras_mixnets | keras_mixnets/mixnets.py | mixnets.py | py | 28,622 | python | en | code | 39 | github-code | 6 | [
{
"api_name": "keras_applications.imagenet_utils.preprocess_input",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "keras_mixnets.custom_objects.MixNetConvInitializer",
"line_number": 94,
... |
72796556028 | """Models used in the database."""
from peewee import (BooleanField, CharField, CompositeKey, ForeignKeyField,
IntegerField, Model)
from python.db.connection import Connection
class BaseModel(Model):
"""A base model that will use our SQLite database."""
class Meta:
"""Meta class for the base... | ChuOkupai/m2-amis-projet | srcs/python/db/models.py | models.py | py | 982 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "peewee.Model",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "python.db.connection.Connection.get_instance",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "python.db.connection.Connection",
"line_number": 13,
"usage_type": "name"
},
... |
36670584484 | # -*- coding: utf-8 -*-
import sys
import xlsxwriter
import xlrd
from datetime import datetime
reload(sys)
sys.setdefaultencoding('utf-8')
from os.path import expanduser
class wrExcel():
def __init__(self, code, date):
self.home = expanduser("~")
self.code = code
s... | jackusa/Automatic-Trading-System | saveExcel.py | saveExcel.py | py | 2,554 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "xlsxwriter.Workbook",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "xlrd.ope... |
20200564637 | import json
import yaml
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
def plot_curves(curves, out_pdf, selected_indices=None, selected_names=None):
pts_per_inch = 72.
if 'page_setup' in curves:
plt.figure(figsize=(curves['page_setup']['width']/pts_per_inch, curves['page_setup']['heig... | kandrosov/PdfPlotExtractor | plot_curves.py | plot_curves.py | py | 2,436 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
7328747850 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import math, copy, time
from torch.autograd import Variable
import matplotlib.pyplot as plt
import seaborn
seaborn.set_context(context="talk")
class Batch:
"Object for holding a batch of data with mask during training."
de... | RUOK90/various_transformers | dummy.py | dummy.py | py | 8,894 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "seaborn.set_context",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.autograd.Variable",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "torc... |
70077328507 | import streamlit as st
from myFunctions import Gustavo
import pytest
st.set_page_config(
page_title="Sherlock Links",
page_icon=":telescope",
layout="centered",
initial_sidebar_state="expanded"
)
def main_page():
st.markdown("# Sherlock Links 🔭")
st.markdown('#### Gustavo Duarte e Silva')
... | gustavo-duarte-silva/ProjetoFinalPythonPRO | projetofinalPRO/mainProgram.py | mainProgram.py | py | 1,778 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "stream... |
15405198426 | from PyQt5 import QtWidgets
from worginform import Ui_WorginForm
import worgin
import sys
class WorginUi(QtWidgets.QWidget):
def __init__(self):
super(WorginUi, self).__init__()
self.ui = Ui_WorginForm()
self.ui.setupUi(self)
self.ui.addBtn.clicked.connect(self.addWoIToList)
... | omortie/worgin | worginui.py | worginui.py | py | 1,150 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "worginform.Ui_WorginForm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "w... |
31270856131 | # -*-coding:utf-8 -*-
import base64
import hashlib
import hmac
import json
from urllib.parse import urlparse
import requests
from qiniu import QiniuMacAuth, Auth
from requests.adapters import HTTPAdapter
from urllib3 import Retry
import configs
class BaseSDK(object):
_ACCESS_KEY = configs.ACCESS_KEY
_SECRET... | celerysoft/QiniuCloudSDK | sdk/base.py | base.py | py | 2,334 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "configs.ACCESS_KEY",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "configs.SECRET_KEY",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "requests.Session",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "urll... |
8909192797 | import base64
from io import BytesIO
import imagehash
import PIL
import requests
class Image:
"""
An image class to calculate the dhash value and create preview images.
"""
def __init__(self, img_url: str):
"""Constructor
Args:
img_url (str): The image to load.
"... | SebastianBach/searcher | searcher/image.py | image.py | py | 2,221 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "io.BytesIO",
"line_num... |
73106997309 | from datetime import datetime as dt
import os
import numpy as np
from pandas import to_datetime as td
import yaml
THIS_DIR = os.path.dirname(os.path.realpath(__file__))
def calculate_torque(power, rpm):
"""
Accepts scalars and np.array() as input
:param power: (W)
:param rpm: (1/60s)
:return torq... | stefano-v37/cyperana | CyPerAna/utilities.py | utilities.py | py | 2,411 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_numbe... |
17704126277 | from fast_dash import FastDash, Fastify
from fast_dash.Components import Text
from dash import dcc
from utils import translate
# Fastify Dash's dropdown component
dropdown = Fastify(DashComponent=dcc.Dropdown(options={x:x for x in ['French', 'Spanish', 'German']}), modify_property='value')
def translate_from_english... | bridgecrew-perf6/fast_dash | examples/Translate to multiple languages/app.py | app.py | py | 959 | python | en | code | null | github-code | 6 | [
{
"api_name": "fast_dash.Fastify",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dash.dcc.Dropdown",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dash.dcc",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "utils.translate",
"line... |
34115337337 | import cv2
import numpy as np
import matplotlib.pyplot as plt
def LineDetection():
img_1 = input('Your image: ')
print('OK')
img_2 = cv2.imread(img_1, cv2.IMREAD_GRAYSCALE)
img = cv2.Canny(img_2, 50, 200)
lines = cv2.HoughLinesP(img, rho=1,
theta=np.deg2rad(0... | NagiWang/Line | Line/Line.py | Line.py | py | 791 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.Canny",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.HoughLinesP",
"li... |
13321462554 | from airflow.models import Variable
from airflow.hooks.postgres_hook import PostgresHook
import requests
def remove_deleted_content_items(ds, *args, **kwargs):
if "client" not in kwargs or kwargs["client"] is None:
raise Exception("You must configure a client for this operator")
headers = {"Authoriza... | CrossingsCommunityChurch/apollos-shovel | dags/rock/rock_deleted_content_items_dag.py | rock_deleted_content_items_dag.py | py | 1,894 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "airflow.models.Variable.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "airflow.models.Variable",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "airflow.hooks.postgres_hook.PostgresHook",
"line_number": 14,
"usage_type": "call"
... |
71257756668 | import asyncio
from io import BytesIO
from PIL import Image as PillowImage
from telegram import Bot
from app.config import Config
from app.extensions import scheduler
from app.main import db
from app.models import Image
from app.storage import ImageStorage
@scheduler.task(
"interval",
id="upload_to_telegram... | IllusionOfControl/sansetto_bot | app/tasks.py | tasks.py | py | 1,575 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.extensions.scheduler.app.app_context",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "app.extensions.scheduler.app",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "app.extensions.scheduler",
"line_number": 21,
"usage_type": "n... |
18677217585 | import logging
import os
import random
import sys
from collections import OrderedDict
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import torch.nn.functional as F
import torch.nn as nn
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(se... | ShunLu91/PA-DA | nasbench201/utils.py | utils.py | py | 3,951 | python | en | code | 29 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
... |
4397909460 | import os
import zipfile
from ..utils import word_list
from ..core.config import CLI_MODE
if CLI_MODE == True:
from ..cli.progress import cli_progress as progress
from ..cli.dialogs import dialog_import, dialog_vok_merge_yn,\
dialog_vok_merge_edit
from sys import argv
else:
from ..g... | tuxor1337/voktrainer | vok/actions/vok.py | vok.py | py | 6,928 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "core.config.CLI_MODE",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "gui.dialogs.dialog_vok_merge_yn",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "gui.dialogs.dialog_vok_merge_edit",
"line_number": 27,
"usage_type": "call"
},
{
... |
33536357948 | from pathlib import Path
import sys
from invoke import task
@task(name="list_tasks", default=True)
def _tasks(c):
"""Show the current list of tasks"""
filepath = Path(__file__)
with c.cd(filepath.parent):
c.run(f"{sys.executable} -m invoke -c {filepath.stem} -l")
@task
def new_post(c, name):
... | gabrielecalvo/gabrielecalvo.github.io | tasks.py | tasks.py | py | 570 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.executable",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "invoke.task",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "invoke.task",
"line_nu... |
70207356029 | import numpy as np
from statistics import mean
from scipy.interpolate import make_lsq_spline
import matplotlib.pyplot as plt
def knot_points1(nknots, x, degree):
#create the knot locations
knots = np.linspace(x[0], x[-1], nknots)
lo = min(x[0], knots[0]) #we have to add these min and values to conform b... | coolxerxes/xerxes-alex-aws-gesture | newspmodel/pre_utils.py | pre_utils.py | py | 1,122 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_nu... |
71595482427 | from unittest.case import TestCase
from flask.typing import StatusCode
from flask.wrappers import Request
import sys, os
from werkzeug.wrappers import response
sys.path.append("./src")
import unittest
from src.EncodeDecode import EncodeDecode
from src import tinyurl
class test_encode(unittest.TestCase):
def set... | yoohannes/shortURL | test/test_encode.py | test_encode.py | py | 1,626 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "src.tinyurl.tinyur... |
72531756989 | """
Base model classes for schemas in OpenAPI specs (OAS) for this service
"""
from typing import Any
from pydantic import BaseModel, Extra
from ..utils.change_case import snake_to_camel
class EmptyModel(BaseModel):
# Used to represent body={}
class Config:
extra = Extra.forbid
class InputSc... | ITISFoundation/osparc-simcore | packages/models-library/src/models_library/api_schemas_webserver/_base.py | _base.py | py | 1,964 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pydantic.Extra.forbid",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pydantic.Extra",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pydantic... |
9088438138 | from django.db import models
from django.conf import settings
from datetime import datetime
class Game (models.Model):
game_location = models.CharField(max_length=50, blank=True)
fundraising_link = models.CharField(max_length=127, blank=True)
start_date = models.DateField(null=True, blank=True)
end_date = models.D... | knoopr/ShotForTheHeart | ShotForTheHeart/models/Game.py | Game.py | py | 2,250 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
40449822038 | from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
import codecs
from collections import OrderedDict
import json
import os
import unicodecsv
from commoncode.testcase import FileBasedTesting
import json2csv
def load_csv(location):
"""
Load a... | darcyfdu/findlicense | etc/scripts/test_json2csv.py | test_json2csv.py | py | 12,311 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "codecs.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "unicodecsv.DictReader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "shutil.copy2",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "commoncode.testcase.Fi... |
27094943059 | import torch
from torch import nn
from einops import rearrange, repeat
from einops.layers.torch import Rearrange
class Encoder(nn.Module):
def __init__(self, patch_dim, nb_layers, nb_heads, one_head_dim, ff_dim, dropout = 0.0):
super().__init__()
self.layers = nn.ModuleList([])
for _ in ran... | phelchegs/bms-molecular-translation | model/ViT_encoder.py | ViT_encoder.py | py | 2,630 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.ModuleList",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
28148699561 | import cv2
import pickle
import os
import numpy as np
import pandas as pd
from datetime import datetime
#path untuk file recognizer
recognizer_path = './recognizer'
encodings_file = os.path.join(recognizer_path, 'encodings.pickle')
#load file recognizer
with open(encodings_file, 'rb') as f:
data = pickle.load(f)
... | okta4294/Real_Time_Face_Presensi | face_recognition.py | face_recognition.py | py | 2,293 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line... |
10230197945 | from typing import Optional
from urllib.parse import parse_qs, urlparse
from datasets import load_dataset
from pydantic import BaseModel
import evals
import evals.metrics
from evals.api import CompletionFn
from evals.formatting import make_abc
from evals.record import RecorderBase
class Sample(BaseModel):
quest... | openai/evals | evals/elsuite/multiple_choice.py | multiple_choice.py | py | 2,729 | python | en | code | 12,495 | github-code | 6 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse_qs",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datase... |
8041409439 | import pymongo
from pymongo import MongoClient
from bson.objectid import ObjectId # used to id query
conn = MongoClient("localhost", 27017)
db = conn.study
collection = db.student
res = collection.find({"age": {"$gt": 18}})
print(res.count())
for row in res:
print(row)
print(type(row))
'''
return all reco... | zuohd/python-excise | database/query_document.py | query_document.py | py | 728 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bson.objectid.ObjectId",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pymongo.DESCENDING",
"line_number": 28,
"usage_type": "attribute"
}
] |
19483668877 | #for basic rendering of html pages
from django.shortcuts import render, render_to_response, redirect
from django.template import RequestContext
from django.http import HttpResponse, HttpResponseRedirect, Http404, FileResponse
#for authentication login and logout
from django.contrib.auth import login as auth_login
from... | rishshah/RePlace | PlacementPortal/ic/views.py | views.py | py | 5,004 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "django.contrib.auth.logout",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 32,
"usage_type": "ca... |
73944972988 | import io
import os
from google.cloud import speech_v1p1beta1 as speech
def transcribe_audio(file_name):
client = speech.SpeechClient()
with io.open(file_name, "rb") as audio_file:
content = audio_file.read()
audio = speech.types.RecognitionAudio(content=content)
config = speech.types.Rec... | colanconnon/cs410project | cs410videosearchengine/cs410videosearchengine/utils.py | utils.py | py | 630 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "google.cloud.speech_v1p1beta1.SpeechClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "google.cloud.speech_v1p1beta1",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "io.open",
"line_number": 8,
"usage_type": "call"
},
{
"api... |
26913265951 |
import os
import pygame as pg
from data.handTracking import handDetector
from .states import classic, menu, mode, options, controls, audio, ghost, splash, keybinding, getkey
import cv2
import math
class Control():
def __init__(self, fullscreen, difficulty, size):
pg.mixer.pre_init(44100, -16, 1, 512)
... | meganskrobacz/CCIS | Pong_Hand_Detection_Dec_2021/data/control.py | control.py | py | 5,238 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.mixer.pre_init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.display.se... |
30167679016 | import os
import sys
import time
import pickle
import pandas as pd
from sklearn.neural_network import MLPRegressor
from sklearn.model_selection import train_test_split
def main(filename):
df = pd.read_csv(filename)
X = df[['theta1', 'theta2', 'dtheta1', 'dtheta2', 'ddtheta1', 'ddtheta2']].values
y = df[['... | cmower/two_dof_robot | learn_inverse_dynamics_training.py | learn_inverse_dynamics_training.py | py | 1,165 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.neural_network.MLPRegressor",
"line_number": 17,
"usage_type": "call"
... |
12495543719 | import arcade
width = 1280
height = 640
# Load the image
background = arcade.load_texture("map_1.png")
penguin = arcade.Sprite("penguin.png")
penguin.bottom = 500
penguin.left = 0
penguin.change_x = 5
gravity = -0.2
arcade.open_window(width, height, "Animal jump")
arcade.set_background_color(arcade.color.SKY_BLUE)
... | tt-n-walters/thebridge-week1 | level.py | level.py | py | 1,005 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "arcade.load_texture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "arcade.Sprite",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "arcade.open_window",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "arcade.set_backgro... |
75276604346 | import random
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import csv
import numpy as np
import time
import requests
import os
IP = "http://100.26.232.128:5000/"
def update_config(size, policy):
"""
Update cache config
:param size: max cache capacity (str)
:param policy: enum("R... | jiaxilyu/mnist_DCGAN | ece1779/a2/perftest/perf_test.py | perf_test.py | py | 8,058 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
... |
8175791145 | from tir import Webapp
from tir import ApwInternal
from datetime import datetime
import pandas as pd
import locale as lo
filial="01010001"
dataalt="01/08/2020"
tipoalt="007"
dataAdimissao = ""
lo.setlocale(lo.LC_MONETARY,'pt_BR.UTF-8')
DataSytem = datetime.today().strftime('%d/%m/%Y')
oHelper = Webap... | Okamael/DigitaAlteracaoSalario | dissidio.py | dissidio.py | py | 1,547 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "locale.setlocale",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "locale.LC_MONETARY",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.today",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "date... |
70818540668 | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 28 10:47:01 2020
@author: wayne
"""
#from metadata import metadata
import math
import csv
import pandas
#from math import sqrt
import sys,os
sys.path.append(os.sys.path[0])
#import arcpy
import richdem as rd
import numpy as np
import glob
import rasteri... | ChaoEcohydroRS/FlorenceFlood_UAVSAR_Repo | UAVSAR/PolarSARpro/RadiometricNormalization_7.py | RadiometricNormalization_7.py | py | 11,036 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.sys",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.chdir",
"line_number... |
21666332184 | from typing import Optional
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class BST:
#Return node with val if it is present, else return None. It is recursive with no helper method.
def searchBST(self, root: O... | Adam-1776/Practice | DSA/BST/BST.py | BST.py | py | 1,719 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 23,
"usage_type": "name"
}
] |
2745837897 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function, absolute_import
import os
import torch
from torch.utils.data import Dataset
class Human36m(Dataset):
def __init__(self, data_path, is_train=True):
self.data_path = data_path
self.is_train = is_train
self.train_input, self.train... | zhengxiangyue/joint_capture | src/dataset.py | dataset.py | py | 2,148 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
27600794984 | '''
Implements classes for preparing the image data for CNN classification
'''
from PIL import Image
import os
import joblib
class PrepareImageData():
"""The main class for preparing the datasets for CNN classification"""
def __init__(self, product_df, image_details_df, image_path):
"""
Args:
... | shbz80/fb_marketplace_api | prepare_image_data.py | prepare_image_data.py | py | 6,766 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "os.getcwd",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 95,... |
32515379203 | from aiohttp import web
async def handle_404(request, response):
return web.FileResponse('./static/page404.html')
async def error_middleware(app, handler):
@web.middleware
async def middleware_handler(request):
try:
response = await handler(request)
if response.status == ... | riatelab/magrit | magrit_app/helpers/error_middleware404.py | error_middleware404.py | py | 587 | python | en | code | 102 | github-code | 6 | [
{
"api_name": "aiohttp.web.FileResponse",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "aiohttp.web",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "aiohttp.web.HTTPException",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "aio... |
51676351 | """
Market impact plots for the thesis.
Plot showing the shape of market impact as calculated by Rosenbaum et al. in Paul Jusselin
and Mathieu Rosenbaum. “No-arbitrage implies power-law market impact and rough volatility”.
"""
import numpy as np
import scipy.integrate
from corai_plot import APlot
from tqdm import tqdm... | Code-Cornelius/jump_diff_bubble_II_thesis | experiments/market_impact.py | market_impact.py | py | 2,061 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.integrate.integrate.quad",... |
6184090872 | import tkinter as tk
from tkinter.font import Font
import numpy as np
from typing import Optional, List, Tuple, Dict, Literal
from cc import GameBuilder, maybe_num_nodes
import math
"""
Util functions.
"""
def keep_one_dir(edge_index: np.ndarray) -> np.ndarray:
return edge_index[:, edge_index[0] < edge_index[1]]
... | zml72062/pebble_game | game_gui.py | game_gui.py | py | 14,381 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.ndarray",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "typing.Tuple",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line... |
10359780560 | """
The arithmetic sequence, 1487, 4817, 8147, in which each of the terms increases by 3330, is unusual in two ways: (i)
each of the three terms are prime, and, (ii) each of the 4-digit numbers are permutations of one another.
There are no arithmetic sequences made up of three 1-, 2-, or 3-digit primes, exhibiting... | younes-m/projecteuler_ruby | problems/euler49.py | euler49.py | py | 1,507 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 59,
"usage_type": "call"
}
] |
18918871052 | """PyTest Fixtures."""
import importlib
import os
import platform
import subprocess
import sys
import warnings
from pathlib import Path
import pytest
# Ensure we always run from the root of the repository
if Path.cwd() != Path(__file__).parent:
os.chdir(Path(__file__).parent)
# checking if user is running pytest... | ansible/ansible-lint | conftest.py | conftest.py | py | 2,821 | python | en | code | 3,198 | github-code | 6 | [
{
"api_name": "pathlib.Path.cwd",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.chdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_numbe... |
12680241876 | from matplotlib import pyplot as plt
def plot_loss(forecast, reconstruct, total, path):
plt.figure()
plt.plot(forecast, label="Forecast loss")
plt.plot(reconstruct, label="Reconstruct loss")
plt.plot(total, label="Total loss")
plt.title("Train losses during training")
plt.xlabel("Epoch")
p... | ForestsKing/MTAD_GAT | utils/plot.py | plot.py | py | 397 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplo... |
21722179224 | import pandas as pd
import plotly.express as px
dataframe = pd.read_csv("Integrated_Data.csv")
name = []
inverse = []
sum = 0
for x in dataframe.index:
name.append(dataframe.loc[x, "Name"])
inverse.append(1.0/float(dataframe.loc[x, "Facility/Demand"]))
sum += float(dataframe.loc[x, "Facility/Demand"])
fo... | Nitvr/Datathon_2023 | Fund Allocation/Fund_1_inverse_of_fpd.py | Fund_1_inverse_of_fpd.py | py | 487 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "plotly.express.pie",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "plotly.express",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "plotly.express.color... |
19685007302 | #!/usr/bin/python3
import os
import time
import pafy
from subprocess import PIPE, run
from colors import colors
colors = colors()
def out(command):
result = run(command, stdout=PIPE, stderr=PIPE, universal_newlines=True, shell=True)
return result.stdout
def valid_path(userpath):
exist = os.path.exists(u... | rohithvishaal/youtube-video-downloader | ydl.py | ydl.py | py | 5,890 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "colors.colors",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "subprocess.run",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"lin... |
16614573939 | # !/usr/bin/python
# -*- coding: utf-8 -*-
"""
__author__ = 'qing.li'
"""
import logging
from settings import BASE_DIR
class Logger:
def __init__(self, path=None):
if path:
self.path = path
else:
self.path = BASE_DIR + '/log/logs/selenium.log'
self.logger = logging.... | QingqinLi/mooc_ui_web | log/log.py | log.py | py | 817 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "settings.BASE_DIR",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.FileHandler",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.Strea... |
16814914384 | import time
import wandb
import copy
import os
import numpy as np
import itertools
from itertools import chain
import torch
import imageio
import warnings
import functools
from hsp.utils.util import update_linear_schedule
from hsp.runner.separated.base_runner import Runner
from pathlib import Path
from collections impo... | samjia2000/HSP | hsp/runner/separated/overcooked_runner.py | overcooked_runner.py | py | 14,067 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "hsp.runner.separated.base_runner.Runner",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "time.ti... |
19182969867 | import numpy as np
from scipy import stats
import math
import random
import matplotlib.pyplot as plt
def mc_sim1():
sample_size=100000
X = np.random.normal(0, 1, sample_size)
print(X)
formula = np.cos(X) ** 2
# formula = X
mean = np.mean(formula)
se = np.std(formula) / np.sqrt(sample_size)
... | Tomdeleeuw/MAS | main.py | main.py | py | 1,493 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.normal",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_... |
10714389879 |
# Md Lutfar Rahman
# mrahman9@memphis.edu
# DataScience Assingment - 4
import pandas
import seaborn
from matplotlib import pyplot
from sklearn.metrics.cluster import adjusted_rand_score
from sklearn.metrics import silhouette_score
df = pandas.read_csv('Sales_Transactions_Dataset_Weekly.csv')
def Q1():
from sklearn... | milu-buet/data-science | Assignment/HW4/COMP4993_A4_MDLufarRahman/main.py | main.py | py | 2,974 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.KMeans",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.cluster.adjusted_rand_score",
"line_number": 21,
"usage_type": "call"
},
{
... |
7160474861 | from random import random, uniform
from typing import Callable
import numpy as np
population_size = 100
crossover_probability = 0.8
mutation_probability = 0.2
epochs = 100
def paraboloid(x, y):
return (2 * x ** 2) / 3 + (7 * y ** 2) / 2 + 1
def d2b(f: int, b: int) -> str:
n = int(f)
base = int(b)
r... | DonChaka/PSI | PAG/AlgorytmGenetyczny.py | AlgorytmGenetyczny.py | py | 4,097 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Callable",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "random.uniform",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"l... |
136163983 | from regex import D
import requests
from urllib.parse import urljoin
import json
import numpy as np
import pandas as pd
def time_question(question, ask_endpoint):
return requests.post(url=ask_endpoint, data=json.dumps({'question': question})).elapsed.total_seconds()
if __name__ == '__main__':
questions = [
... | miteshkumar77/chatbot-ta | Software/data_scripts/timing_data.py | timing_data.py | py | 1,099 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urljoin",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
11005162738 | import multiprocessing
import multiprocessing.connection
import sys
from utils.ConfigHelper import ConfigHelper
from utils.env_helper import create_env
def worker_process(
remote: multiprocessing.connection.Connection, conf: ConfigHelper, id: int
) -> None:
"""Executes the threaded interface to the environme... | xixiha5230/PPO | worker/Worker.py | Worker.py | py | 2,336 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "multiprocessing.connection",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "utils.ConfigHelper.ConfigHelper",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "utils.env_helper.create_env",
"line_number": 22,
"usage_type": "call"
}... |
25560069409 | """predictive_parking ROOT URL Configuration
"""
from rest_framework_swagger.views import get_swagger_view
from rest_framework import routers
from rest_framework.schemas import get_schema_view
from django.conf.urls import url, include
from django.conf import settings
from occupancy import views as occupancy_views
f... | Amsterdam/parkeerscans | api/parkeerscans/predictive_parking/urls.py | urls.py | py | 2,722 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "rest_framework.routers.APIRootView",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.routers",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 45,
"usage_type": "a... |
10220293365 | import asyncio
from typing import List, Optional
from aiogram import Bot
from aiogram.types import ChatActions, InputFile, InputMediaPhoto, Message
from aiogram.types.message import ParseMode
from aiogram.utils.exceptions import BadRequest
from nazurin import config
from nazurin.models import File, Illust, Image, Ugo... | y-young/nazurin | nazurin/bot.py | bot.py | py | 5,888 | python | en | code | 239 | github-code | 6 | [
{
"api_name": "aiogram.Bot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "nazurin.utils.decorators.retry_after",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "aiogram.Bot.send_message",
"line_number": 24,
"usage_type": "attribute"
},
{
"ap... |
13321467934 | from airflow.models import Variable
from airflow.hooks.postgres_hook import PostgresHook
from rock.utilities import (
safeget_no_case,
safeget,
get_delta_offset_with_content_attributes,
find_supported_fields,
)
from urllib.parse import unquote
from psycopg2.extras import Json
from functools import reduc... | CrossingsCommunityChurch/apollos-shovel | dags/rock/rock_features.py | rock_features.py | py | 23,879 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "airflow.models.Variable.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "airflow.models.Variable",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "airflow.hooks.postgres_hook.PostgresHook",
"line_number": 25,
"usage_type": "call"
... |
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