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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
73571984372 | import os
from kite_trade import *
# from kiteconnect import KiteConnect
import time,json,datetime,sys
import xlwings as xw
import pandas as pd
import copy
import numpy as np
import time
import dateutil.parser
import threading
from datetime import datetime,timedelta
# from selenium import webdriver
# from selenium.webd... | mkbairwa/mkbairwa | strategy/optionchain_with_kite.py | optionchain_with_kite.py | py | 25,553 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "xlwings.Book",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number"... |
22409661401 | #!/usr/bin/env python3.11
import logging
import os
import uuid
Logger = logging.getLogger(__name__)
logging.basicConfig(filename='codewitch.log', encoding='utf-8', level=logging.INFO)
# Function for searching all files in any directory
def searching_all_files(directory=os.getcwd()):
'''
Returns a list typ... | sadminriley/codewitch | lib/helpers.py | helpers.py | py | 863 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
... |
31266809204 | from user_profile import UserProfile
from datetime import date
import words
class DialogueManager:
def __init__(self, chat_id, mob):
self.p2p_state = 'UNREGISTERED'
self.id = chat_id
self.mob = mob
def set_status(self, status):
self.mob.get_user_by_id(self.id).promises[date.to... | Yxbcvn410/motivate_bot | dialogue_manager.py | dialogue_manager.py | py | 3,084 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.date.today",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.date",... |
17377023791 | # _*_ encoding:utf-8 _*_
# all the imports
import sys
from flask import Flask, request, session, redirect, url_for, abort, \
render_template, flash
from sqlalchemy import Table, Column, Integer, String, select, create_engine, MetaData
from config import conn
from models import news
reload(sys)
sys.setdefaultenco... | williamcullen/flaskr-github | flaskr/flaskr.py | flaskr.py | py | 2,296 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sqlalchem... |
71717605812 | import os
import sys
from time import strftime
import numpy as np
import tensorflow as tf
import cv2
from gtts import gTTS
import pygame
if tf.__version__ < '2':
raise ImportError('Please upgrade your tensorflow installation to v2.2.0 or later!')
if tf.__version__ > '2.10.0':
raise ImportError('Please downgr... | ibrahim-601/Object_detection_and_Speech | Object_detection_speech_webcam.py | Object_detection_speech_webcam.py | py | 4,915 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "tensorflow.__version__",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.__version__",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 17,
"usage_type": "call"
},
{
"api_name"... |
3106791770 | from django.shortcuts import render, HttpResponse
from .models import Company, EmployeeDetails , JobOpenings
import json
# Create your views here.
def index(request):
"""GET API for Landing Page"""
compny = Company.objects.filter(is_active=True)
employee_details = EmployeeDetails.objects.filter(is_active=... | mahammed1991/magical | magical_project/human_resource/views.py | views.py | py | 3,394 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Company.objects.filter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Company.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Company",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": ... |
37092978073 | #!/usr/bin/env python
"""Utility methods to monitor and control garage doors via a raspberry pi."""
import sys
import time
import json
import datetime
import utils as Utils
import sqlite3
from enum import Enum
from datetime import timedelta
from time import gmtime
import requests
def build_sql(eventNames, limit, orde... | bkjems/gdc | db_utils.py | db_utils.py | py | 4,665 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_numb... |
14085693043 | import os
import zipfile
# Funรงรฃo para ler o conteรบdo do arquivo documento.txt e verificar a sigla
def verificar_sigla(caminho_arquivo):
with open(caminho_arquivo, 'r') as arquivo:
linha = arquivo.readline()
dados = linha.split('|')
sigla = dados[7] # A posiรงรฃo 7 contรฉm a sigla
re... | rycardofarias/Automatizar-arquivos-com-Python | Procurar um dado em arquivos zipados.py | Procurar um dado em arquivos zipados.py | py | 1,164 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "os.walk",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 2... |
9204491666 | import numpy as np
import matplotlib.pyplot as plt
from utils import write_as_json
def plot_strategy(strategy, prefix):
initial_capital = strategy.initial_capital
net_returns = np.array(strategy.get_returns())
returns = net_returns + 1
returns[0] *= initial_capital
costs = np.array(strategy.costs) ... | Villux/golden_goal | simulation/utils.py | utils.py | py | 2,167 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.cumprod",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.insert",
"line_number"... |
3371861683 | import cv2
import os
import calculation
import zoom
# for filename in os.listdir('HR'):
# img_hr = cv2.imread('HR/' + filename)
# print filename + ' loaded from HR/'
#
# print 'Down-sampling ' + filename + '...'
# h_lr = img_hr.shape[0] / 3
# w_lr = img_hr.shape[1] / 3
# img_lr = zoom.bicubic(... | Ace-0/Bicubic-Interpolation | src/main.py | main.py | py | 1,052 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "calculation.PSNR",
"line_number"... |
13588489662 | import argparse
import yaml
from math import ceil
settings_dict_template = {
"imageType":{},
"featureClass":{
"firstorder":"NANA",
"glcm":"NANA",
"glrlm":"NANA",
"glszm":"NANA",
"gldm":"NANA",
"ngtdm":"NANA",
"shape":"NANA"},
"setting":{
"binW... | CCIG-Champalimaud/adell-mri | utils/voxel-features-to-radiomics-settings.py | voxel-features-to-radiomics-settings.py | py | 2,069 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "yaml.dump",
"line_number": 59,
"usage_type": "call"
}
] |
40661935577 | # -*- coding: utf-8 -*-
import os
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import matplotlib.patches as mpatches
import matplotlib
from functools import partial
from collections import OrderedDict
if __name__ == '__main__':
df = pd.re... | alexpetralia/igmchicago | dataviz.py | dataviz.py | py | 9,789 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "pandas.read_pickle",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"l... |
17656151642 | import torch
import torch.nn as nn
from torch.nn import Module, Parameter, ParameterList
#### DotMatrix -- a matrix of dot products as is used in the edge levels ###
class DotMatrix(nn.Module):
"""
Constructs a matrix of dot-products between scalars of the same representation type.
Input: Tensor of SO3-ve... | larsbratholm/champs_kaggle | solutions/12/src/cormorant/nn/generic_levels.py | generic_levels.py | py | 4,906 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_numb... |
18588551291 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import contextlib
import re
import warnings
from operator import itemgetter
import numpy as np
__all__ = ["IORegistryError"]
class IORegistryError(Exception):
"""Custom error for registry clashes."""
# -------------------------------------------... | astropy/astropy | astropy/io/registry/base.py | base.py | py | 18,139 | python | en | code | 4,015 | github-code | 21 | [
{
"api_name": "operator.itemgetter",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 154,
"usage_type": "call"
},
{
"api_name": "warnings.catch_warnings",
"line_number": 162,
"usage_type": "call"
},
{
"api_name": "wa... |
24237102233 | import json
import codecs
import os, shutil
from secrets import token_hex, randbits
from datetime import datetime
import hashlib
import logging
import traceback
DEBUG = False
logging_level = logging.DEBUG if DEBUG else logging.INFO
logging.basicConfig(handlers=[logging.StreamHandler(), logging.FileHandler... | mr-js/scripts | cms/core.py | core.py | py | 9,554 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.Stre... |
3114659854 | '''
Created on Jun. 15, 2021
@author: zollen
@title: Kalman Filter for Time Series Data
@url: https://medium.com/dataman-in-ai/kalman-filter-explained-4d65b47916bf
(Full Explaination)
@url: https://www.kalmanfilter.net/background.html
'''
import yfinance as yf
from pykalman import KalmanFilter
import numpy as np
imp... | zollen/Python-ML | time_series/pykalman/testme.py | testme.py | py | 4,454 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "seaborn.set_style",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "yfinance.download",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "pykalman.... |
9335088478 | import json
import logging
import math
import multiprocessing
import os
import pickle
import random
import torch
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
from torch.nn.utils.rnn import pad_sequence
from torch.utils.data import TensorDataset, RandomSampler, SequentialSampler
from urllib.parse impo... | malteos/semantic-document-relations | wiki/data_helpers.py | data_helpers.py | py | 16,007 | python | en | code | 31 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "experiments.data_helpers.BERTDataHelper",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "experiments.data_helpers.DocRelDataHelper",
"line_number": 24,
"usage_type": "n... |
43481687545 | import numpy as np
import seaborn as sns; sns.set()
import matplotlib.pyplot as plt
import pandas as pd
def least_square_estimation(z:np.ndarray,y:np.ndarray):
inv = np.linalg.inv(z.transpose().dot(z))
return inv.dot(z.transpose()).dot(y)
seed = 42
np.random.seed(seed) # make repeate random values
... | VinhLoiIT/LinearRegression | seminar/r_score_normal.py | r_score_normal.py | py | 1,251 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "seaborn.set",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.linalg.inv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line... |
23725899922 | import os
import numpy as np
from PIL import Image
def analyseImage(path):
"""
Pre-process pass over the image to determine the mode (full or additive).
Necessary as assessing single frames isn't reliable. Need to know the mode
before processing all frames
"""
im = Image.open(path)
result... | PiJoules/pennapps-xv-project | gifextract.py | gifextract.py | py | 1,491 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number"... |
31607893227 | """
Noam Scheduler.
From: https://raw.githubusercontent.com/tugstugi/pytorch-saltnet/master/utils/lr_scheduler.py
"""
from torch.optim.lr_scheduler import _LRScheduler
# https://github.com/mozilla/TTS/blob/ff295c65242328a6bc23a9fd9b4e6d819342795a/utils/training.py
class NoamLR(_LRScheduler):
"""
Implements th... | ricardomorita42/ubiquitous-octo-pancake | utils/lr_scheduler.py | lr_scheduler.py | py | 1,253 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.optim.lr_scheduler._LRScheduler",
"line_number": 9,
"usage_type": "name"
}
] |
43735486359 | """Tests for the MCP"""
from unittest import mock
from helper import config
from mikkoo import mcp
from tests import test_state
class TestMCP(test_state.TestState):
CONFIG = {'wake_interval': 30.0, 'workers': {}}
async def asyncSetUp(self):
await super().asyncSetUp()
with mock.patch('multi... | gmr/mikkoo | tests/test_mcp.py | test_mcp.py | py | 867 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "tests.test_state.TestState",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tests.test_state",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "unittest.mock.patch",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "... |
41561328911 | import glob
import cv2
import numpy as np
import os, imageio
import shutil
import tifffile
def _minify(basedir, factors=[], resolutions=[]):
needtoload = False
for r in factors:
imgdir = os.path.join(basedir, 'images_{}'.format(r))
if not os.path.exists(imgdir):
needto... | cubhe/NeuralPhaseField | Phase_nerf/load_data.py | load_data.py | py | 15,706 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
39704179816 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('season', '0009_season_completed'),
('crucibal', '0001_initial'),
]
operations = [
migrations.CreateModel(
... | dyarnell/wfl | wfl/crucibal/migrations/0002_contest.py | 0002_contest.py | py | 879 | python | en | code | 0 | github-code | 21 | [
{
"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.CreateModel",
"line_number": 15,
"usage_type": "call"
},
... |
1969048027 | # This module will include method to parse data from property cards
from booking.config import DRIVER_LOCATION
from selenium.webdriver.remote.webdriver import WebDriver
from selenium.webdriver.common.by import By
import html
class BookingReport:
def __init__(self, driver:WebDriver):
self.driver =... | vothaiduong14/BookingBot | booking/booking_report.py | booking_report.py | py | 1,881 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.remote.webdriver.WebDriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.CSS_SELECTOR",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number... |
17978930037 | from collections import Counter
def intersection(arr1, arr2):
c = Counter(arr1)
print(c)
output = []
for n in arr2:
if c[n]>0:
print(c[n])
output.append(n)
c[n] -= 1
return output
print(intersection([1,2,1, 2], [2,2])) | INNOMIGHT/daily-problem-solving | data-structures-and-algorithms/arrays/intersection_of_arrays.py | intersection_of_arrays.py | py | 290 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 4,
"usage_type": "call"
}
] |
7056109800 | import pandas as pd
from sodapy import Socrata
from datetime import datetime,timedelta
class Get_Data():
def __init__(self, df= pd.DataFrame()):
self.df= df
def create_df(self):
client = Socrata("data.lacity.org", None)
results = client.get("2nrs-mtv8", limit=800000)
... | bluterplay/LAPD | datos_n_dias.py | datos_n_dias.py | py | 1,558 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sodapy.Socrata",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_records",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.D... |
42956790716 | from selenium import webdriver
import pytest
@pytest.fixture()
def setup():
driver = webdriver.Chrome()
return driver
# PyTest HTML Reports
def pytest_configure(config):
config._metadata['Project Name'] = 'Flippers remote control'
config._metadata['Module Name'] = 'Flippers'
config._metadata['Te... | margasiewicz/flippery | tests/testCases/conftest.py | conftest.py | py | 344 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 4,
"usage_type": "call"
}
] |
2158980864 | import xlsxwriter,os, json
from openpyxl import load_workbook
def create_output_file(testcase,outputfolder,output):
os.chdir(outputfolder)
outputfile = open(str(testcase)+'.json',"w+")
json.dump(output, outputfile)
def create_test_report(i,testcase,testcasedecription,status,output_file_path):
... | kcguttikonda/apiautomation_keyword_driven | APITests_Adidas/reporting.py | reporting.py | py | 580 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.chdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 11,
"usage_type": "call"
}
] |
6045487484 | import io
import boto3
import pandas as pd
from airflow.config.configs import BUCKET_NAME
def save_to_s3(pd_df, file_path, access_key, secret_key):
csv_buffer = io.StringIO()
csv_data = pd_df.to_csv(csv_buffer, index=False)
s3 = boto3.client('s3', aws_access_key_id=access_key, aws_secret_access_key=sec... | SofiaTrsk/Economic-Data-Visualization | airflow/utils/utils.py | utils.py | py | 658 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "io.StringIO",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "airflow.config.configs.BUCKET_NAME",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pandas.to... |
36021201375 | from django.shortcuts import render
from rest_framework import viewsets
from .models import Application,Project
from .serializers import ApplicationSerializer,ProjectSerializer,TagSerializer
from rest_framework.permissions import BasePermission ,IsAuthenticated
from rest_framework.parsers import FormParser , MultiPartP... | Piyusshh/Summer-Sprint | projectcorner/projects/views.py | views.py | py | 2,924 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.permissions.BasePermission",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.BasePermission",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 24,
... |
39074179128 | import os
from googletrans import Translator
filepath = "C:/PyProjects/github/Learn_Python_codes/Small_projects"
filename1 = "Bad.Sisters.S01E10.720p.WEB_.H264-GGEZ-No-HI.srt"
filename2 = "Bad.Sisters.S01E10.720p.WEB_.H264-GGEZ-No-HI.txt"
nums = ['0','1', '2', '3', '4', '5', '6', '7', '8', '9']
translator = Translat... | mrymsadeghi/Learn_Python_codes | Small_projects/01_translate_subtitles.py | 01_translate_subtitles.py | py | 839 | python | en | code | 40 | github-code | 21 | [
{
"api_name": "googletrans.Translator",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"... |
23082212429 | from openpyxl import Workbook, load_workbook
class WriteFile:
def __init__(self):
self.wb = Workbook()
self.existingDict = {}
def currExcel2Dict(self, currMaster):
# load workbook
self.wb = load_workbook(currMaster)
# select workbook
sheet = self.wb.active
... | bamessenger/WebScrapy_DOC | src/main/python/WebScrapy_DOC/filewriter.py | filewriter.py | py | 1,973 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "openpyxl.Workbook",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 29,
"usage_type": "call"
}
] |
409647137 | import argparse
from typing import NamedTuple
from logging import getLevelNamesMapping
__all__ = ["Constants"]
class Suffixes(NamedTuple):
sudo: str = "+eu_sou_estupido"
insecure: str = "+eu_sou_inseguro"
class Constants:
args: argparse.Namespace
suffixes: Suffixes
__initted: bool = False
@... | marcosdly/insalubre-bot | src/constants.py | constants.py | py | 1,427 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.NamedTuple",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "argparse.Namespace",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logg... |
70348913333 | try:
import cPickle as pickle
except ImportError:
import pickle
from getpass import getuser
import json
import os.path as opath
import flow
from .base_backend import BackendBase, keyname
class DiskBackend(BackendBase):
"""This backend writes data to the local filesystem."""
def _initialize(self, sav... | asugden/pool | pool/backends/disk_backend.py | disk_backend.py | py | 2,924 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "base_backend.BackendBase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flow.paths",
"line_... |
11488750904 | import unittest
from pathlib import Path
from tempfile import mkdtemp
from shutil import rmtree
import os
from hydra import initialize_config_dir, compose
from hydra.utils import instantiate
from deckard.base.model.sklearn_pipeline import SklearnModelPipeline
this_dir = Path(os.path.realpath(__file__)).parent.resolv... | simplymathematics/deckard | test/base/test_model/test_sklearn_model_pipeline.py | test_sklearn_model_pipeline.py | py | 1,597 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"l... |
73617403571 | """dropped emailtype
Revision ID: 02564a85a6c0
Revises: 1a8d64d83725
Create Date: 2020-10-11 21:33:14.755065
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '02564a85a6c0'
down_revision = '1a8d64d83725'
branch_labels = None
depends_on = None
def upgrade():
... | aurthurm/microservices-starter | backend/messages/src/alembic/versions/02564a85a6c0_dropped_emailtype.py | 02564a85a6c0_dropped_emailtype.py | py | 946 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "alembic.op.drop_index",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.drop_table",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
23969046253 | # 1.160.23.145
import subprocess as sp
import shlex
import urllib.request
import urllib.parse
import json
import folium
import re
# ใทใงใซใคใณใธใงใฏใทใงใณ้ฒๆญข
targetHost = "www.egypt.gov.eg"
remoteAddr = shlex.quote(targetHost)
traceLogPath = "/tmp/traceLog"
tcptraceroute = "sudo tcptraceroute -m 50 {0} > {1}".format(remoteAd... | TakuKitamura/traceMap | traceRoute.py | traceRoute.py | py | 4,213 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "shlex.quote",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "shlex.quote",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_n... |
16341664405 | import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while True:
_, frame = cap.read()
hsv = cv2.cvtColor(frame,cv2.COLOR_BGR2HSV) #For range, since RGB is a color value, but it doe snot give you range, whereas the hue is color, value is houw much of that color, and V is intensity
lower_red = np.arra... | HDavidSolano/small-cv-projects | OpenCVTesting/OpenCVTesting/Transformations.py | Transformations.py | py | 1,264 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
... |
27156096380 | from myUtils import *
from datetime import datetime
studentTitles = ["id (PK)","F name","L name", "DOB","email","address","phone number","School","Major","Year","Status"]
options = ["List all students attending 'UMBC'",
"List all graduate students",
"List all Comp Sci students buying 2 or more books",
"List m... | bwilso1/python-sql | queriesMenu.py | queriesMenu.py | py | 13,253 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 288,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 288,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 289,
"usage_type": "call"
},
{
"api_na... |
29897254973 | from django.db import IntegrityError
from .models import Project, Tasks
from django.shortcuts import get_object_or_404, render, redirect
from .forms import CreateNewTask, CreateNewProject, TaskForm, ProjectForm
from django.contrib.auth.forms import UserCreationForm, AuthenticationForm
from django.contrib.auth.models im... | Freenzygsx/DjangoAppToDo | myapp/views.py | views.py | py | 6,000 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "models.Project.objects.filter",
"line_number": 27,
"usage_type": "call"
},
{
"api... |
74539064374 | #!/usr/bin/env python
# encoding: utf-8
import tornado
from .base import BaseHandler
from libs import util
# from libs.cache import mem_cache
class SearchHandler(BaseHandler):
@tornado.web.asynchronous
@tornado.gen.engine
def get(self, query):
context = {}
query = util.safe_input(query)
... | zhkzyth/BT-Share | web/handler/search.py | search.py | py | 669 | python | en | code | 47 | github-code | 21 | [
{
"api_name": "base.BaseHandler",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "libs.util.safe_input",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "libs.util",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "tornado.web",
"li... |
73026983733 | from __future__ import (absolute_import, division, print_function)
import contextlib
import os
import shutil
import tempfile
import warnings
from nose.tools import assert_equal, assert_raises
import cartopy
import cartopy.io as cio
from cartopy.io.shapereader import NEShpDownloader
from cartopy.tests.mpl.test_cachin... | LiuFang816/SALSTM_py_data | python/SciTools_cartopy/cartopy-master/lib/cartopy/tests/io/test_downloaders.py | test_downloaders.py | py | 7,293 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "cartopy.io.Downloader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cartopy.io",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
71294688053 | #!/usr/bin/env python3
import yaml
import update
def getParts():
parts = []
for i in range(0,8):
parts.append(input('Player Name: '))
return parts
def getPros():
stats = update.loadWins()
return list(stats.keys())
def prompt(teamName, parts):
for i in range(0,len(parts)):
prin... | cullenself/fantasy | .LeagueSetup.py | .LeagueSetup.py | py | 713 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "update.loadWins",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "yaml.dump",
"line_number": 30,
"usage_type": "call"
}
] |
36379140667 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name='watchdog',
version='0.1',
scripts=['watchdog'],
author="Petteri Johansson",
description="Process watchdog",
long_description=long_description,
long_description_content_type="text/mar... | piizei/watchdog | setup.py | setup.py | py | 616 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 4,
"usage_type": "call"
}
] |
39997704543 | # IMPORT PACKAGES -------------------------------------------------------------
import os
import shutil
import numpy as np
from scipy._lib._util import check_random_state
# IMPORT MODULES --------------------------------------------------------------
import _output
import _methods
import _algorithms
# ---------------... | migueljgoliveira/finite-element-model-updating | _algorithms/main.py | main.py | py | 13,057 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 9... |
37502794020 | import serial
import time
import base64
startMarker = "<"
endMarker = ">"
dataStarted = False
dataBuf = ""
img_string = ""
messageComplete = False
outfile = "received.png"
portname = "COM3"
def setupSerial(baudRate, serialPortName):
global serialPort
serialPort = serial.Serial(
port=serialPortName,... | queens-satellite-team/mock-sat | src/comms/Tutorials/img_receiver.py | img_receiver.py | py | 3,861 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "serial.Serial",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_numb... |
32507122560 | from fileio import JsonWriter, CsvWriter
import pydantic
import pathlib
from typing import Any, Dict, List, TypeVar
TPydanticModel = TypeVar('TPydanticModel', bound=pydantic.BaseModel)
def _writer_interface(mode:str) -> TPydanticModel:
''' an interface that returns a pydantic model class based on str input
... | zombie1864/data_IO_aggregation | src/utils_IO_bound.py | utils_IO_bound.py | py | 4,570 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.TypeVar",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "fileio.CsvWriter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "fileio.JsonWrit... |
70445051574 | from sklearn.linear_model import Perceptron
# ์ํ๊ณผ ๋ ์ด๋ธ์ด๋ค.
X = [[163,43],[160,55],[165,48],[170,80],[175,76],[180,70]]
y = [0, 0, 0, 1,1,1]
# ํผ์
ํธ๋ก ์ ์์ฑํ๋ค. tol๋ ์ข
๋ฃ ์กฐ๊ฑด. random_state๋ ๋์์ ์๋.
clf = Perceptron(tol=1e-3, random_state=0)
# ํ์ต์ ์ํํ๋ค. Stop when previous_loss โ loss < tol
clf.fit(X, y)
# ํ
์คํธ๋ฅผ ์ํํ๋ค.
print(clf.scor... | LEESAE-BOM/AIClass | 2019116247_lab2perceptron.py | 2019116247_lab2perceptron.py | py | 437 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.linear_model.Perceptron",
"line_number": 6,
"usage_type": "call"
}
] |
33105558704 | # -*- coding: utf-8 -*-
import logging
from ...connector.registry import (new_image_semantic_tag,
image_dict_to_str,
is_semantic_version)
from ...connector.utils import unique_id, utc_from_now_iso
from nuvla.api.resources.deployment import Deployme... | nuvla/job-engine | code/src/nuvla/job/actions/service_image_state.py | service_image_state.py | py | 3,059 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nuvla.api.resources.deployment.Deployment",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "connector.registry.is_semantic_version",
"line_number": 31,
"usage_type": "ca... |
31330917199 | import csv
import openai
import sys
import os
import shutil
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import config
import re
import math
from halo import Halo
from faker import Faker
import random
from datetime import datetime
fake = Faker()
openai.api_key = config.OPENAI_API_KEY... | UmarDabhoiwala/ANU-Internship-Public | faking_reviews/goodreads_gen.py | goodreads_gen.py | py | 5,478 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
15819180151 | from django.test import TestCase, Client
from accounts.client import Login
"""
Checks the if logged in user can access the dashboard page
"""
class DashboardViewTests(TestCase):
# This runs a testing client
c=Client()
def test_dashboard_view(self):
Login.setUp(self)
page = self.c... | Garathd/Django-To-Do-List | dashboard/tests.py | tests.py | py | 443 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "accounts.client.Login.setUp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ac... |
38322905082 | import os
import logging
import datetime
from idstools import unified2
from parsers.parser import Parser
from utils import journald_handler, logLevel, classtype, safe_list_get
from rule_manager.loader import RuleLoader
logger = logging.getLogger(__name__)
logger.addHandler(journald_handler)
logger.setLevel(logLevel)
... | Ronta/butcher | app/parsers/u2_source/parser.py | parser.py | py | 2,862 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "utils.journald_handler",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "utils.logLevel",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "os.un... |
25659883581 | from bottle import post, request
import re
import pdb
import json
@post('/home', method='post')
def my_form():
mail = 'qwerty@mail.ru'
questions = {}
qwer='dsadsadsacsfg'
if mail=="" or qwer=="": return "You didn't write email or question"
else:
match=re.search(r'([@]mail[.]ru)',mail)
... | xsuperblyx/lb5-6 | Site/module1.py | module1.py | py | 667 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.search",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bottle.post",
"line_number": 5,
"usage_type": "call"
}
] |
396939481 | # -*- coding: utf-8 -*-
import datetime
import hashlib
import random
import re
from django.db import models, transaction
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from django.core.mail import send_mail, EmailMultiAlternatives
from django.template.loader import render_to_... | kamagatos/django-registration-withemail | registration_withemail/models.py | models.py | py | 7,691 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.BaseUserManager",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 25,
"usage_type": "call"
},
{
"a... |
44907702451 | import dbi
from datetime import *
DSN = None
# We need to add transaction locking eventually
def getConn(db):
'''returns a database connection to the given database'''
global DSN
if DSN is None:
DSN = dbi.read_cnf()
conn = dbi.connect(DSN)
conn.select_db(db)
return conn
# -----------... | clairec1997/critiq | beta/lookup.py | lookup.py | py | 16,438 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "dbi.read_cnf",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dbi.connect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dbi.cursor",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dbi.cursor",
"line_number": 3... |
22893901845 | import discord, datetime
from datetime import datetime
from discord.ext import commands
from typing import Literal, Optional
from discord.ext.commands import Greedy, Context
class games(commands.Cog):
def __init__(self, bot: commands.Bot) -> None:
self.bot = bot
"""
@commands.com... | Alfredoes234/BRADBOT | cogs/tech.py | tech.py | py | 2,218 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 8,
"usage_type": "attribute"
},
{
"api... |
21418278133 | import sys
from typing import List
from twisted.internet import reactor
from twisted.web import xmlrpc
from twisted.web.client import HTTPConnectionPool, Agent
from sibi.ibapi.common import BarData
from sibi.ibapi.contract import Contract, ComboLeg
from sibi.ibapi.order import Order
class XMLRPCServer(xmlrpc.XMLRPC... | manuelfedele/sibi | sibi/xmlrpc_server.py | xmlrpc_server.py | py | 7,110 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "twisted.web.xmlrpc.XMLRPC",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "twisted.web.xmlrpc",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "twisted.web.client.HTTPConnectionPool",
"line_number": 16,
"usage_type": "call"
},
... |
11488333954 | import logging
from itertools import product
from importlib import import_module
__all__ = ["flatten_dict", "unflatten_dict", "make_grid", "factory"]
logger = logging.getLogger(__name__)
def flatten_dict(dictionary: dict, separator: str = ".", prefix: str = ""):
"""
Flattens a dictionary into a list of dicti... | simplymathematics/deckard | deckard/base/utils/factory.py | factory.py | py | 4,119 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 111,
"usage_type": "call"
}
] |
38496297187 | import plotly.graph_objects as go
"""
GOAL: print the description tables:
1. Numerical values
2. Non-numerical values
"""
def print_tables(values):
num_values = values[0]
non_num_values = values[1]
num_headers = values[2]
non_num_headers = values[3]
fig_num = go.Figure(data=... | pvictor222/dslr | src_describe/print_tables.py | print_tables.py | py | 1,801 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "plotly.graph_objects.Figure",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "plotly.graph_objects.Table",
"line_number": 13,
"usage_type": "call"
},
{
"api_n... |
2586992140 | import sys, os
sys.path.append(os.pardir) # ๋ถ๋ชจ ๋๋ ํฐ๋ฆฌ์ ํ์ผ์ ๊ฐ์ ธ์ฌ ์ ์๋๋ก ์ค์
import numpy as np
from common.functions import softmax, cross_entropy_error
from common.gradient import numerical_gradient
class simpleNet:
def __init__(self):
self.W = np.random.randn(2, 3) # ๊ฐ์ค์น, ์ ๊ท๋ถํฌ๋ก ์ด๊ธฐํ
def predict(self, x)... | ksun0401/Deep_Learning_from_Scratch_1 | gradient_simplenet.py | gradient_simplenet.py | py | 1,137 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.pardir",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randn",
"l... |
71693079733 | from collections import Counter
from collections import defaultdict
from collections import namedtuple
import csv
covid_data = "COVID19BE_CASES_AGESEX.csv"
Case = namedtuple("Case", "date province region age_group sex cases")
def filter_cases_by_province(data=covid_data):
cases_be = defaultdict(list)
with op... | m-tripney/100DaysOfCode | 2_collections/d6_covid_be.py | d6_covid_be.py | py | 1,237 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "collecti... |
42128762982 | from django.urls import path
from api.created_post.views import createdViews, createdFeedBackViews, createDirectoryViews, createDirectorySwadViews, \
createdPostDataViews, IecMaterialDataViews
urlpatterns = [
path('list/', createdViews.as_view(), name='api_createdPost_list'),
path('feedbackviews/'... | allennohesi/Info_kiosk | api/created_post/urls.py | urls.py | py | 822 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "api.created_post.views.createdViews.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "api.created_post.views.createdViews",
"line_number": 7,
"usage_type": "name"
... |
22824580450 | from django.db import models
FILE = 'FILE'
FOLDER = 'FOLDER'
CHOICES = (
(FILE, 'ัะฐะนะป'),
(FOLDER, 'ะฟะฐะฟะบะฐ'),
)
class Item(models.Model):
"""
ะะพะดะตะปั ัะปะตะผะตะฝัะพะฒ (ัะฐะนะปะพะฒ ะธ ะฟะฐะฟะพะบ).
"""
id = models.UUIDField(primary_key=True, unique=True)
type = models.CharField(max_length=6, choices=CHOICES, v... | hilaaba/backend_school_yandex | backend/items/models.py | models.py | py | 1,839 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.db.models.UUIDField",
"line_number": 16,
"usage_type": "call"
},
{
"api_name"... |
22892850051 | from django import forms
from django.forms import ValidationError
DATE_PLACEHOLDER = "dd/mm/yyyy"
PTTTL_PLACEHOLDER = "Paste RTTTL/PTTTL code here..."
class PTTTLForm(forms.Form):
ptttl = forms.CharField(widget=forms.Textarea(attrs={'class': 'multiline_input',
'placeholder': PTTTL_PLACEHOLDER, 'id': 'pttt... | eriknyquist/personal-site | main/forms.py | forms.py | py | 1,469 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "django.forms.Form",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.forms"... |
39880366662 | """ใใฉใใฏใธใฃใใฏใฎใซใผใซ
1.ใๅๆใซใผใใฏ52ๆ ๆธ
2. ๅผใ้ใซใซใผใใฎ้่คใฏ็กใใใใซใใ ๆธ
3. ใใฌใคใคใผใจใใฃใผใฉใผใฎ2ไบบๅฏพๆฆใ
4. ใใฌใคใคใผใฏๅฎ่ก่
ใใใฃใผใฉใผใฏ่ชๅ็ใซๅฎ่ก
5. ๅฎ่ก้ๅงๆใใใฌใคใคใผใจใใฃใผใฉใผใฏใใใใใใซใผใใ2ๆๅผใใ
ๅผใใใซใผใใฏ็ป้ขใซ่กจ็คบใใใใใ ใใใใฃใผใฉใผใฎ2ๆ็ฎใฎใซใผใใฏๅใใใชใใใใซใใ
6. ใใฎๅพใๅ
ใซใใฌใคใคใผใใซใผใใๅผใใ
ใใฌใคใคใผใ21ใ่ถ
ใใฆใใใใใผในใใใใฎๆ็นใงใฒใผใ ็ตไบ
7. ใใฌใคใคใผใฏใใซใผใใๅผใใใณใซใๆฌกใฎใซใผใใๅผใใ้ธๆใงใใ
8. ใใฌใคใคใผใๅผใ็ตใใใใใใฎๅพใใฃใผใฉใผใฏใ่ชๅใฎๆๆญใ17... | Hero8400/Janken | blackjack.py | blackjack.py | py | 3,151 | python | ja | code | 0 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "random.shuffle",
"line_number":... |
17378699583 | import json
import requests
# DNS variables
port = 5555
host = 'localhost'
dns_type = 'A'
dns_target = 'mail.google.com'
dns_server = '8.8.8.8'
body = json.dumps({
'dns_type': dns_type,
'dns_target': dns_target,
'dns_server': dns_server
})
if __name__ == '__main__':
r = requests.post('http://127.0.0.1... | aminrashidbeigi/http-dns-proxy | Codes/DNSClient.py | DNSClient.py | py | 354 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "json.dumps",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 17,
"usage_type": "call"
}
] |
3018379373 | import solver
from ift import IFT
from equations import *
import matplotlib.pyplot as plt
import numpy as np
gamma = 5 / 3
M_e = 2.4
theta_max = prandtl_meyer(M_e, gamma) / 2
ift = IFT(1, 3, 0.01, gamma)
fig = plt.figure()
fig.patch.set_facecolor('white')
ax = fig.gca()
area_ratios = []
ns = range(4, 100, 1)
def l... | Xorgon/Aerothermodynamics-Coursework | examples/distribution_comparison.py | distribution_comparison.py | py | 1,495 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ift.IFT",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
... |
9164112081 | import streamlit as st
st.title("Communities-Crime")
PctIlleg = st.number_input("PctIlleg", min_value=1, max_value=100, step=1)
PctKids2Par = st.number_input("PctKids2Par", min_value=1, max_value=100, step=1)
racePctWhite = st.number_input("racePctWhite", min_value=1, max_value=100, step=1)
PctFam2Par = st.number_in... | CodeNetra-official/ProTon-batch-1 | Communities-Crime/app_backend/app.py | app.py | py | 770 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "streamlit.title",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "streamlit.number_input",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.number_input",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.... |
18044856648 | from mxnet import gluon, init, nd
from mxnet.gluon import data as gdata, nn
import os
import sys
class Dataset:
def __init__(self, data_name, batch_size, root='.\\asset\\dataset', resize=None):
if data_name == 1:
path = os.path.join(root, 'fashion_mnist')
self.train_iter, self.test... | ar-mine/Captcha-Crack | SSD/dataset.py | dataset.py | py | 1,177 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "mxnet.gluon.data.vision.transforms.Resize",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "m... |
11373185810 | import cv2
import numpy as np
def draw_mark(event, x, y, flags, params):
if event == cv2.EVENT_LBUTTONDOWN:
cv2.drawMarker(drawn_img, (x, y), (50,50, 255),markerSize=10)
centors.append((x,y))
KEY_ESC = 27
filled_img = np.full((450 ,800 , 3), 200, dtype=np.uint8)
mask_img = np.full((450, ... | kino-n1851/LaserToUnity | cvTest.py | cvTest.py | py | 1,147 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.EVENT_LBUTTONDOWN",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.drawMarker",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.full",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
... |
38972405668 | import os
import json
from flask import Flask, jsonify, render_template, request
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
from werkzeug.exceptions import HTTPException
app = Flask(__name__)
CORS(app)
@app.errorhandler(HTTPException)
def handle_exception(e):
"""Return JSON instead of ... | wangonya/flask-sqlalchemy-example | app.py | app.py | py | 2,713 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "werkzeug.exceptions.HTTPExcept... |
18747839638 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
This script replaces colors on a stenciled image
"""
import json
import sys
from PIL import Image, ImageDraw
def composite_stencil_and_base(config, best_base, best_alpha):
"""
Creates composite image from the stencils and base color
"""
for palette_... | altermarkive/python-experiments | replace-color-on-stencil/replace_color_on_stencil.py | replace_color_on_stencil.py | py | 5,925 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.Image.new",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "PIL.Image.alpha_composite",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"li... |
1003020613 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import shutil
import tempfile
from absl.testing import parameterized
import numpy as np
import six
from tensorflow.contrib import layers
from tensorflow.contrib.gan.python import namedtuples as tfgan_tuples
f... | kendryte/kendryte-tensorflow | tensorflow/contrib/gan/python/estimator/python/stargan_estimator_test.py | stargan_estimator_test.py | py | 11,358 | python | en | code | 58 | github-code | 21 | [
{
"api_name": "tensorflow.python.ops.variable_scope.get_variable",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "tensorflow.python.ops.variable_scope",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "tensorflow.contrib.layers.flatten",
"line_number": 38,... |
70193335414 | #!/usr/bin/env python
# To be run with python process.py /data/collector/archive
from __future__ import print_function
import re
import os
import sys
import json
import hashlib
import yaml
from pymongo import MongoClient
if len(sys.argv) != 2:
print("Usage: %s <reports_directory>" % sys.argv[0])
sys.exit(1)... | hellais/datanalytics | process.py | process.py | py | 7,752 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 20... |
28001649637 | from datetime import datetime, timedelta
from flask import current_app
from flask_login import current_user
from flask_oauthlib.provider import OAuth2Provider
from flask_security.utils import verify_password
from invenio_accounts.models import User
from invenio_db import db
from werkzeug.local import LocalProxy
from ... | N03/invenio | .virtualenvs/invenio/lib/python2.7/site-packages/invenio_oauth2server/provider.py | provider.py | py | 3,118 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask_oauthlib.provider.OAuth2Provider",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "werkzeug.local.LocalProxy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.current_app.extensions",
"line_number": 14,
"usage_type": "attribu... |
20742377885 | import os
from datetime import datetime, timedelta
from airflow import DAG
from airflow.operators.empty import EmptyOperator
from astronomer.providers.microsoft.azure.operators.synapse import WasbToSynapseOperator
from astronomer.providers.microsoft.azure.operators.data_factory import (
AzureDataFactoryRunPipeline... | astronomer/azure_demo | dags/load_into_synapse.py | load_into_synapse.py | py | 4,829 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"lin... |
4045924401 |
import datetime
import string
import time
import uuid
from os import environ as env
from random import choice, randint
from MeowerBot import Bot, __version__
from MeowerBot.cog import Cog
from MeowerBot.command import AppCommand, command
from MeowerBot.context import CTX, Post, User
from pymongo import MongoClient
... | meower-community/CodeBot | codebot/cog.py | cog.py | py | 13,178 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "MeowerBot.context.CTX",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "functools.wraps",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "functools.update_wrapper",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "Meower... |
5554971446 | import pandas as pd
import sys
from tabulate import tabulate
input_file = sys.argv[1]
# I used this script to extract the score from the scores eval files and put them in a nice table format
with open(input_file, 'r', encoding='utf8') as f:
wer = 0
per = 0
lang = ''
table = []
for line in f:
... | theDebbister/masterThesis | models/get_scores.py | get_scores.py | py | 740 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tabulate.tabulate",
"line_number": 31,
"usage_type": "call"
}
] |
15186454573 | from PIL import Image
import numpy as np
import os
annotation_path = '/home/ubuntu/dataset/kaist_pixel_level/preparing_data/train/annotations/'
image_path = '/home/ubuntu/dataset/kaist_pixel_level/preparing_data/train/images/'
save_path = '/home/ubuntu/dataset/kaist_pixel_level/preparing_data/train/images+anno/'
anno... | gongyan1/FANet | thermal+annotation.py | thermal+annotation.py | py | 954 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 16... |
11850970334 | import os
import subprocess
import keyboard
class Constants:
class path:
server1 = "\"\\\\server1.zavaar.net\""
server0 = "\"\\\\admin.zavaar.net\""
school = "Z:\\Documents\\College"
user = "C:\\Users\\Zavaar"
chrome = "C:\\Program Files (x86)\\Google\\Chrome\\Application\\c... | ThatZiv/hackathon2022wsu | keys.py | keys.py | py | 3,030 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.system",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 3... |
4467608802 | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from scipy.optimize import curve_fit
from datetime import datetime
##############################################################################################################
#
# PARAMETERS
#
# How to use:
# 1. Change the input file pa... | TheYonkk/CMSE_202_Semester_Project_Group-16 | old_script.py | old_script.py | py | 4,362 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.curve_fit",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
... |
11173146652 | # Santosh Khadka
# PyGame - Snake Game
import pygame
from pygame.locals import *
import time
class Snake:
def __init__(self, parent_screen):
self.parent_screen = parent_screen
self.apple = pygame.image.load("resources/apple.png").convert()
self.apple_x = 100
self.apple_y = 100
... | skhadka007/learning_algos | PyGame/Snake/snake.py | snake.py | py | 2,180 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.image.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.flip",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.displa... |
10447610607 | """Velocity dataset from Rignot and Mouginot (2012)
"""
import os
import numpy as np
import netCDF4 as nc
import dimarray as da
from icedata.common import get_datafile, get_slices_xy, check_variables
NAME = __name__
DESC = __doc__
NCFILE = os.path.join("greenland","Rignot_Mouginot_2012_IceFlowGreenlandPolarYear200820... | perrette/icedata | icedata/greenland/rignot_mouginot2012.py | rignot_mouginot2012.py | py | 3,416 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "icedata.common.check_variables",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",... |
5302533694 | from selenium import webdriver
class Find_id_name:
def findelementidname(self):
baseurl = "https://www.facebook.com/"
driver = webdriver.Firefox()
driver.get(baseurl)
elementid = driver.find_element_by_id("email")
if elementid is not None:
print("we found the ... | gy09/python-selenium-practice | Basic_selenium/finding_element_demo.py | finding_element_demo.py | py | 533 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
}
] |
13225296715 | from django.contrib.auth.models import User
from django.shortcuts import render, redirect
# Create your views here.
from main.forms import TaskForm
from main.models import Task
def index(request):
task = Task.objects.all()
users = User.objects.all()
return render(request, 'main/index.html', {'task': tas... | ravilsamara/task | main/views.py | views.py | py | 825 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "main.models.Task.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "main.models.Task.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "main.models.Task",
"line_number": 10,
"usage_type": "name"
},
{
"api_n... |
29425372483 | from urllib.parse import urlencode
import requests
base_url = 'http://weixin.sogou.com/weixin?'
headers = {
'Cookie': 'IPLOC=CN5101; SUID=24FBD3DE5018910A000000005B398ABB; CXID=1630659C433618C020E6A6431EAA8A74; SUV=00C51783DED3FA8C5B4C349FD04DC306; ld=okllllllll2bnY$ElllllVH7dT6lllllTH5EJlllll9llllljklll5@@@@@@@@... | leayl/weixin_ | spider.py | spider.py | py | 2,604 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlencode",
"... |
72283628854 | import os
import argparse
import dash
from dash import dcc
from dash import html
from dash import dash_table
from dash.dependencies import Input, Output, State
import plotly.graph_objs as go
import plotly.express as px
from critical_demand import run_simulation, RESULTS_COLUMN_NAMES
from utils import read_input_file
i... | Bachibouzouk/critical-demand-model | sensitivity.py | sensitivity.py | py | 11,945 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.concat",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "utils.read_input_file",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.ceil",
"... |
5922379713 | #coding=utf-8
#!/usr/local/bin/python
import logging,sys,os
class WriteLog(object):
def write(self,log_lev,log_msg):
main_path=os.getcwd().split('/mha_management')[0]
logging.basicConfig(level=logging.DEBUG,
format='%(asctime)s [%(levelname)s] %(message)s',
datefmt=... | wu1069805284/mysql_manage | MMHA/mha_management/lib/LogHandler.py | LogHandler.py | py | 827 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.getcwd",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.debug",
"li... |
23669770388 | from settings import bot, su, bot_id, bot_username, db
import os,sys, asyncio,re,html
from datetime import datetime
from utils import backup_sources
async def sudos(msg):
if msg.get('text'):
text = msg['text']
if msg['from']['id'] in su:
if msg['text'].split()[0] == '~backup':
... | AmanoTeam/Droidshell | plugins/sudos.py | sudos.py | py | 3,090 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "settings.su",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "settings.bot.sendMessage",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "settings.bot",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.n... |
10106031718 | import re
from model import domain
from sqlalchemy.sql import text
import uuid
import log
class Query:
def __init__(self, reference_date, version, session, branch='master'):
self.reference_date = reference_date
self.version = version
self.session = session
self.branch = branch
... | fernandocandrade/Plataforma-Domain | Platform.App/python-template/model/query.py | query.py | py | 5,550 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "model.domain",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.sql.text",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.sql.text",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.s... |
42940454257 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
class Policy(nn.Module):
def __init__(self, learning_rate):
super(Policy, self).__init__()
self.data = []
self.fc1 = nn.Linear(4, 128)
self.fc2 = nn.Linear(128, 2)
self.optimizer... | SiWonSeong/RL_practice | REINFORCE/Policy.py | Policy.py | py | 1,403 | python | en | code | 0 | github-code | 21 | [
{
"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.Linear",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
72754929974 | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 15 13:43:27 2020
@author: Ali
"""
#%%
import tensorflow as tf
print('TF version: ', tf.__version__)
#%%
"""fix for issue: cuDNN failed to initialize"""
physical_devices = tf.config.experimental.list_physical_devices('GPU')
if len(physical_devices)>0:
tf.config.expe... | alitariq-syed/Counterfactual-Explanation-Model | train_CFE_model.py | train_CFE_model.py | py | 10,515 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tensorflow.__version__",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.config.experimental.list_physical_devices",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 14,
"usage_type": "at... |
8371024930 | #!C:\Users\user\AppData\Local\Programs\Python\Python310\python.exe
#print("content-type: text/html; charset=euc-kr\n")
import pandas as pd
import numpy as np
import get_data
from datetime import datetime
import cgi
form=cgi.FieldStorage()
this_month = get_data.get_thismonth()
df_emp = get_data.callup_emplo... | howonsun/Python | Meal_admin/index.py | index.py | py | 1,347 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cgi.FieldStorage",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "get_data.get_thismonth",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "get_data.callup_employees_db",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "... |
5631609541 | # -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# formats: ipynb,py:light
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.13.0
# kernelspec:
# display_name: cook
# language: python
# name: cook
# ---
# +
# n... | Min-Ho-Kim94/study_DL | deep learning with python/6.2 ์ํ์ ๊ฒฝ๋ง ์ดํดํ๊ธฐ.py | 6.2 ์ํ์ ๊ฒฝ๋ง ์ดํดํ๊ธฐ.py | py | 3,359 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.random",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.random.random... |
23388797107 | """empty message
Revision ID: 57ad913d40ad
Revises: f3bdbd356825
Create Date: 2021-11-07 17:32:28.775538
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '57ad913d40ad'
down_revision = 'f3bdbd356825'
branch_labels = None
depends_on = None
def upgrade():
# ... | Krystian-P/CRUD_Flask_shop | Main/migrations/versions/57ad913d40ad_.py | 57ad913d40ad_.py | py | 916 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
23970028095 | #!/usr/bin/env python3
# -*- coding: utf-8 -*
#pip install mysql-connector==2.1.6
import mysql.connector
import redis
sql = """SELECT sha2((CASE WHEN attributes.value2 = '' THEN attributes.value1 ELSE CONCAT(attributes.value1, '|', attributes.value2) END), 256) AS hashvalue, attributes.uuid FROM attributes;"""
# ch... | truckydev/misp-modules | misp_modules/modules/expansion/_hastore_helpers/hashstore_init.py | hashstore_init.py | py | 892 | python | en | code | null | github-code | 21 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 28,
"usage_type": "name"
},
{
"... |
27371409534 | """
Common actions.
"""
from config import Config
def replace_value(key: str, o: dict) -> None:
""" Replaces value at key definition in dict with ECS-compliant field """
for ecs_field, old_fields in Config.field_mapping.items():
for old_field in old_fields:
for of in [old_field, old_field... | shdubsh/kibana-objects-remapper | kibana_objects_remapper/actions.py | actions.py | py | 2,003 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "config.Config.field_mapping.items",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "config.Config.field_mapping",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "config.Config",
"line_number": 10,
"usage_type": "name"
},
{
"... |
25986368713 | import numpy as np
from scipy.io import wavfile
std_f = 440
f_array = np.arange(31)
f_array[0] = 0
f_array[1] = 10
for i in range(2, 31):
f_array[i] = f_array[i - 1] + np.ceil((f_array[i] - 1) / 5) * 10
f_array[1:] = 1000 / f_array[1:]
f_array[0] = 200
sr = 44100
dur = 1
base = np.arange(sr * dur)
filt = np.ones(s... | AliothR/UTunes | external/generate_wavs.py | generate_wavs.py | py | 922 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "numpy.arange",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.ceil",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 15... |
73810534774 | import pandas as pd
import requests
from datetime import datetime, timedelta
# ๊ตญ๊ฐ ์ฝ๋์ ํตํ ๋ฐ์ดํฐํ๋ ์ ์์ฑ
cnt_code_with_currency = {
'CNT_CODE': ['JP', 'CN', 'VN', 'TH', 'PH', 'HK', 'TW', 'MO', 'SG', 'MY', 'ID', 'KH', 'TR', 'IN', 'MN', 'MM', 'ES', 'DE', 'AU', 'GB', 'SI', 'RU', 'US', 'CA', 'MX', 'AU', 'NZ'],
'CURRENCY... | 6-6ho/DailyTour | Scripts/get_currency_avg.py | get_currency_avg.py | py | 2,676 | python | ko | code | 1 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.date... |
11379776395 | """
Fitting the feature weights with genetic algorithm
"""
import time
from multiprocessing import Pool
import numpy as np
import pygad
from agent import ReflexiveHierarchicalAgent, IAgent
from features import FringeSmoothness, HoleCount, EmptyRowsCount, AverageHeight
from utility import Utility
from world import Con... | alexgorin/tetrisai | training.py | training.py | py | 3,021 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "world.World",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "agent.IAgent",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "world.is_in_terminal_state",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "agent.choose_acti... |
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