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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
25418702303 | from typing import Any
from bleak.backends.scanner import AdvertisementData
ADVERTISEMENT_DATA_DEFAULTS = {
"manufacturer_data": {},
"service_data": {},
"service_uuids": [],
"rssi": -127,
"platform_data": ((),),
"tx_power": -127,
}
def generate_advertisement_data(**kwargs: Any) -> Advertisem... | home-assistant-libs/home-assistant-bluetooth | tests/__init__.py | __init__.py | py | 536 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "typing.Any",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "bleak.backends.scanner.AdvertisementData",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bleak.backends.scanner.AdvertisementData",
"line_number": 15,
"usage_type": "name"
... |
72859289822 | from typing import Union
from pytorch_lightning.loggers.base import DummyLogger
from pytorch_lightning.utilities import rank_zero_info, rank_zero_warn
from pytorch_lightning.utilities.exceptions import MisconfigurationException
class DebuggingConnector:
def __init__(self, trainer):
self.trainer = traine... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/classification/Centroids-reid/pytorch_lightning/trainer/connectors/debugging_connector.py | debugging_connector.py | py | 3,238 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "pytorch_lightning.utilities.exceptions.MisconfigurationException",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pytorch_lightning.utilities.exceptions.MisconfigurationException",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pytorch_lightni... |
10686516408 | #!/usr/bin/python3
# encoding: utf-8
import threading
from tile.sqllitedb import TileSqlLiteDB
from random import *
from tile.Info import TileInfo
import hashlib
import shutil
import os
from PIL import Image
Image.MAX_IMAGE_PIXELS = None
OpenSeaMapMerged = 'OpenSeaMapMerged'
def _MergePictures(bac... | stevo01/SeaChartCreator | tile/MergeThread.py | MergeThread.py | py | 4,206 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "PIL.Image.MAX_IMAGE_PIXELS",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
... |
20794968762 | import requests
import base64
import pandas as pd
from core.banner import banner
from core.log import logger
from core.cmdline import args
from core.conf import email,key
from core.colors import red
from core.lib import ip2cidr,saveContext,readFile
import json
logger=logger()
num = 0
class FofaAPI(object):... | Ethancck/TFofa | TFofa/fofa.py | fofa.py | py | 4,788 | python | en | code | 12 | github-code | 7 | [
{
"api_name": "core.log.logger",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "core.conf.email",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "core.conf.key",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "requests.get",
"lin... |
72232611104 | import argparse
import gym
import numpy as np
import os
import tensorflow as tf
import tempfile
import time
import json
import random
import rlattack.common.tf_util as U
from rlattack import logger
from rlattack import deepq
from rlattack.deepq.replay_buffer import ReplayBuffer, PrioritizedReplayBuffer
from rlattack.... | cleverhans-lab/cleverhans | cleverhans_v3.1.0/examples/RL-attack/train.py | train.py | py | 15,594 | python | en | code | 5,963 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "rlattack.common.misc_util.boolean_flag",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "rlattack.common.misc_util.boolean_flag",
"line_number": 77,
"usage_type": ... |
24018282781 | from collections.abc import Sequence
from typing import Union, cast
import awkward as ak
import numpy as np
from scanpy import logging
from scirpy import get
from scirpy.util import DataHandler, _is_na
@DataHandler.inject_param_docs()
def chain_qc(
adata: DataHandler.TYPE,
*,
airr_mod="airr",
airr_k... | scverse/scirpy | src/scirpy/tl/_chain_qc.py | _chain_qc.py | py | 7,649 | python | en | code | 181 | github-code | 7 | [
{
"api_name": "scirpy.util.DataHandler.TYPE",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "scirpy.util.DataHandler",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "collections.abc.Sequence",
"line_number": 20,
"usage_type": "name"
},
{
... |
35873217750 | """
This goes through your Plex_ TV library, on your *local* server, and tries to *shrink* episodes (using HEVC_ video quality 28) that start off with a bit rate *above* a certain level, by default 2000 kbps.
Lots of words, huh?
This can *either* tell a table of TV show data on your locally running Plex_ server, on y... | tanimislam/howdy_grabbag | howdy_grabbag/cli/dehydrate_tv_shows.py | dehydrate_tv_shows.py | py | 21,225 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "shutil.which",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "shutil.which",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "howdy.core.core.checkServerCredentials",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "howd... |
3101628405 | import asyncio
from commands.botcommand import BotCommand, assert_text, _s
from botdata import Group
class CreateGroup(BotCommand):
def __init__(self, telegram_id, bot):
super(CreateGroup, self).__init__(telegram_id, bot)
self.current_handler = self.initial_handler
key = "/creategroup"
de... | josephhajduk/ThumperBot | commands/creategroup.py | creategroup.py | py | 1,089 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "commands.botcommand.BotCommand",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "commands.botcommand._s",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "asyncio.coroutine",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_n... |
16678464504 | from dotenv import load_dotenv
import pandas as pd
from supabase import create_client, Client
import os
import streamlit as st
load_dotenv()
url: str = os.getenv("SUPABASE_URL")
key: str = os.getenv("SUPABASE_KEY")
supabase: Client = create_client(url, key)
storage_url = os.getenv("SUPABASE_STORAGE_URL")
st.set_page... | manishc22/streamlit | old/1_Yuvraj_Audits.py | 1_Yuvraj_Audits.py | py | 3,037 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "supabase.Client",
"line_numb... |
22122117918 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Imports
from sklearn.model_selection import KFold
from DNNModel import *
from numpy import *
from external_functions import *
import matplotlib
matplotlib.use('Agg')
from keras.models import Sequential
from keras.layers import Dense, Dropout
from keras.optimizers impo... | lmpeixoto/deepl_learning | DNNMTModel.py | DNNMTModel.py | py | 12,851 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.use",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "keras.layer... |
12431312216 | #!/usr/bin/env python
import os
import sys
import http.client
from urllib.parse import urlencode
import xml.etree.ElementTree as ET
from argparse import ArgumentParser, RawTextHelpFormatter
DESCRIPTION = """
© Prifysgol Bangor University
"""
marytts_p2ipa_mapping = {'A':'ä','{':'æ','@':'ɐ','O':'ɔ','aU':'aʊ','AI... | techiaith/docker-marytts | voicebuilder/scripts/python/g2a.py | g2a.py | py | 3,212 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "urllib.parse.urlencode",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "http.client.client.HTTPConnection",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "http.client.client",
"line_number": 49,
"usage_type": "attribute"
},
{
"... |
14161673547 | import matplotlib.pyplot as plt
import pandas as pd
import pylab as pl
import numpy as np
from sklearn import linear_model
from sklearn.metrics import r2_score
from sklearn.preprocessing import PolynomialFeatures
from sklearn import linear_model
from scipy.optimize import curve_fit
'exec(%matplotlib inline)'
# # LINE... | sealfonso/MachineLearning | NonLinearR.py | NonLinearR.py | py | 2,791 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 69,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
8290213292 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 24 14:56:40 2020
@author: hoeren
This script will repack the given .tar.gz or .tgz file in chunks no bigger
than denoted by the
"""
import argparse
import os
import sys
import tarfile
import gzip
import filetype
from tqdm import tqdm
from . import ... | Semi-ATE/starz | starz/__main__.py | __main__.py | py | 9,870 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.isfile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "filetype.guess",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line... |
3463355245 | def df_optimized(df, verbose=True, **kwargs):
"""
Reduces size of dataframe by downcasting numerical columns
:param df: input dataframe
:param verbose: print size reduction if set to True
:param kwargs:
:return:
"""
in_size = df.memory_usage(index=True).sum()
for type in ["float", "i... | athammad/helpers | Python/helperFuncs.py | helperFuncs.py | py | 4,033 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "subprocess.check_call",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.executable",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "sys.modules",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "matplotlib... |
1253358846 | import pygame.time
from object import *
from settings import *
import math
keys = { # The list of keys for input
"up": False, # UP arrow key
"down": False, # DOWN arrow key
"left": False, ... | ShazShoaib/Invader | helper.py | helper.py | py | 5,739 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "math.sqrt",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pygame.time.KEYDOWN",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "pygame.time",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "pygame.time.K_UP",
... |
30836074326 | # -*- coding: utf-8 -*-
""" Tests for the `piecewiselinear` module."""
import pytest
from pytest import approx
import numpy as np
from scipy.integrate import quad
from ufoldy.piecewisefunction import PLF, PCF
def argsort(seq):
return sorted(range(len(seq)), key=seq.__getitem__)
@pytest.fixture
def small():
... | gvdeynde/ufoldy | tests/test_piecewisefunction.py | test_piecewisefunction.py | py | 9,110 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "pytest.fixture",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "ufoldy.piecewisefunction.PLF",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "ufoldy.piecewisefunction.PLF",
"line_number": 44,
"usage_type": "call"
},
{
"api... |
14285128464 | import os
import re
import cv2
from plate import Plate
def get_plate_section(plate, flag_write):
output_dir = 'output/plate'
plate_section = Plate()
# BRAND
# BRAND_x_left = int(14.5 / design_w_plate * w_plate + 0.5 - float_range_x)
# if BRAND_x_left < 0:
# BRAND_x_left = 0
# BRAND_x... | decoli/plate-recognition | get_plate_section.py | get_plate_section.py | py | 6,176 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "plate.Plate",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,... |
31790513285 | import csv
import numpy as np
import torch
import torch.nn.functional as F
import torchvision.utils as utils
from sklearn import metrics
import pandas as pd
def get_output_target(test_csv, result_file, label, label_dict):
# groundtruth
test_df = pd.read_csv(test_csv)
gt = [label_dict[test_df.loc[idx, label... | mayurmallya/DeepGuide | radpath/rad/utilities.py | utilities.py | py | 1,225 | python | en | code | 19 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_numbe... |
21659494462 | import sys, os
import setuptools
def read(filename):
return open(os.path.join(os.path.dirname(__file__), filename)).read()
setuptools.setup(
name='python-whois',
version='0.8.2',
description="Whois querying and parsing of domain registration information.",
long_description=read('README.rst'),
... | richardpenman/whois | setup.py | setup.py | py | 1,189 | python | en | code | 299 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_n... |
9999409650 | import enum
class Components_names(enum.Enum):
Bulge = 'Bulge'
Thin_disk = 'Thin disk'
Thick_disk = 'Thick disk'
Exponential_disk = 'Exponential disk'
Dark_halo = 'Dark halo'
Burkert_halo = 'Burkert halo'
def input_component(component):
component_mass = 10
component_scale_a =... | andresGranadosC/GalRotpy | notebook/input.py | input.py | py | 1,450 | python | en | code | 14 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 3,
"usage_type": "attribute"
}
] |
15637162814 | from dash import Dash, dcc, html, Input, Output
import plotly.express as px
import pandas as pd
import copy
app = Dash(__name__)
# Example Data
d = {'Cost': [1, 3, 2], 'Carbon Emission': [7, 5, 6], 'Time': [20, 50, 30],
'Type': ['Car', 'Bike', 'Bus']}
df_trav = pd.DataFrame(data=d)
df = copy.deepcopy(df_trav.ilo... | Joeyjas5963/Final-Project | pareto.py | pareto.py | py | 1,518 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dash.Dash",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dash.html.Div",
"line_num... |
14455728205 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# 리뷰 인덱스를 찾는 함수
def get_review_idx(little_menu):
for i in range(len(little_menu)):
if little_menu[i].text == '리뷰':
return i+1
# In[2]:
def collect_review(url):
from bs4 import BeautifulSoup
from selenium import webdriver
import re... | W-C-G/ProjectRepository | Collect Data and Write into DB/Collect_Review_Restaurant.py | Collect_Review_Restaurant.py | py | 6,689 | python | ko | code | 0 | github-code | 7 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 28,
"usage_type": "call"
},
{
"api... |
7301447303 | import numpy as np
import tensorflow as tf
from tensorflow.python.client.device_lib import list_local_devices
# from tqdm import tqdm
import gc
import datetime as dt
from copy import deepcopy as dc
from src.eval.evaluate import Evaluator
from src.samplers.sampler_bi_ranking import Sampler
class RRTCF(object):
def... | BinFuPKU/ReciprocalRecommender | src/tensorflow/Model/models/rrtcf.py | rrtcf.py | py | 12,714 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "src.eval.evaluate.Evaluator",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tensorflow.python.client.device_lib.list_local_devices",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tensorflow.get_variable",
"line_number": 32,
"usage_ty... |
21531584907 | import configparser
import pymongo
import requests
import time
from urllib.parse import urljoin
import json
configPath = "config.ini"
WebConfig = configparser.ConfigParser()
WebConfig.read(configPath, encoding='utf-8-sig')
upload_url = WebConfig.get("upload_file", "url") #上传文件的url地址
file_path = WebConfig.get("upl... | xuepengswh/spider_platform_2 | upload_files.py | upload_files.py | py | 3,454 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
35753550410 | import itertools
import math
import pickle
import time
from bisect import bisect_left
from datetime import date, datetime, timedelta
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
import numpy as np
import pandas as pd
from tqdm.auto import tqdm
from wikipedia_cleanup.data_filter import ... | HPI-Information-Systems/wikipedia_cleanup | wikipedia_cleanup/predict.py | predict.py | py | 15,563 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "datetime.datetime",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "wikipedia_cleanup.predictor.Predictor",
"line_number": 40,
"usage_type": "name"
},
{
"api_na... |
36965102135 | # ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.13.8
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
# # Extended Data Figure 7: Multi-session ... | AdaptiveMotorControlLab/cebra-figures | src/ExtendedDataFigure7.py | ExtendedDataFigure7.py | py | 16,160 | python | en | code | 13 | github-code | 7 | [
{
"api_name": "numpy.fromstring",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.fromstring",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
25265283391 | import PIL.Image
import threading
import time
import pyautogui
import os
import fpstimer
def thre():
ima = 1
#limit it to 30fps
timer = fpstimer.FPSTimer(30)
while (True):
image_path = "frames/" + str(ima) + ".bmp"
img = PIL.Image.open(image_path)
# resize the image
width, height = img.size
aspect_r... | werwolf2303/BadAppleAscii | test.py | test.py | py | 1,396 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fpstimer.FPSTimer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image.Image.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image.Image",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image... |
34043210840 | import requests
from bs4 import BeautifulSoup
from urllib.parse import quote
import time
from selenium.common.exceptions import SessionNotCreatedException, WebDriverException
from playwright_master import html_obj
def ya_search(qwery_, quantity):
url = f'https://xmlstock.com/yandex/xml/?user=11362&key=2a81ea2bf... | YuriSib/WB_Hoarder | search_sale.py | search_sale.py | py | 3,153 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "urllib.parse.quote",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "playwright_master.h... |
39054995422 | # -*- coding:utf-8 -*-
import requests
import zipfile
import pandas
class Solution():
def initial(self):
response = requests.get("https://www.imf.org/external/pubs/ft/wp/2008/Data/wp08266.zip")
# print('get if successful:' + str(response is not None))
with open('data.zip', 'wb') as file:
... | nongyulin/Probability-Statistics | lab2/financialReform/solve.py | solve.py | py | 1,766 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.read_stata",
"line_number": 32,
"usage_type": "call"
}
] |
69871796062 | import os
import boto3
from flask import (
Flask, flash, render_template,
redirect, request, session, url_for, send_from_directory)
from flask_pymongo import PyMongo
from bson.objectid import ObjectId
from werkzeug.security import generate_password_hash, check_password_hash
from werkzeug.utils import secure_fil... | RoVsEk23/selsey_kitchen | app.py | app.py | py | 10,476 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_num... |
71768562145 | import numpy as np
import scipy.io as sio
import matplotlib.pyplot as plt
def obtain_data(data_path):
data = sio.loadmat(data_path)
# print(data.keys()) # tells .mat keys
if data_path == './data/ex6data3.mat':
return data['X'], data['y'], data['Xval'], data['yval']
else:
return data['X'... | aarontta-psk/AA_practicas | Practica7/p7_1/utils.py | utils.py | py | 899 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_num... |
15675457747 | #!/usr/bin/env python
import sys, json, requests
from datetime import datetime
#district 04012 = Bremerhaven
url = "https://api.corona-zahlen.org/districts/04012"
r = requests.get(url)
data = r.json()
date1=data1['meta']['lastUpdate']
cases1=data1['data']['04012']['cases']
deaths1=data1['data']['04012']['deaths']
cas... | fachinformatiker/CoronaTelegramBot | myCorona.py | myCorona.py | py | 1,639 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
70072404062 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.http import JsonResponse
from backend.models import Teams, Solves, Challenges, Notices, Config, Wrong_keys, Hints, Registers, Index
from django.middleware.csrf import get_token
from django.utils.html import escape
from django.core.validators i... | LCTF/LCTF_2018_Platform | app/backend/backend/views.py | views.py | py | 9,607 | python | en | code | 17 | github-code | 7 | [
{
"api_name": "time.mktime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "backend.models.Config.objects.all",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "backend.models.Config.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"... |
73498407583 | import pygame
import sys
import numpy as np
width, height = 800, 600
def next_generation(array):
size_x = len(array) - 2
size_y = len(array[0]) - 2
array_copy = array.copy()
for x in range(1, size_x + 1):
for y in range(1, size_y + 1):
living_cell = bool(array_copy[x][y])
... | tomkorn0/game_of_life | animation.py | animation.py | py | 2,398 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.random.randint",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "numpy.pad",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pygame.event.get",
... |
1688622369 | #!/usr/bin/env python3
from itertools import combinations
from math import prod
with open("input.txt") as puzzle_input:
INPUT = [int(line) for line in puzzle_input]
def find_combo(values, n, target=2020):
for vs in combinations(values, n):
if sum(vs) == target:
return prod(vs)
print(f"P... | cnorthwood/adventofcode | 2020/01/challenge.py | challenge.py | py | 397 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "itertools.combinations",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "math.prod",
"line_number": 12,
"usage_type": "call"
}
] |
42131812040 | """empty message
Revision ID: be785dc4b32c
Revises: acf6d4073216
Create Date: 2021-08-20 12:59:36.195886
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'be785dc4b32c'
down_revision = 'acf6d4073216'
branch_labels = None
depends_on = None
def upgrade():
# ... | kuyang95/1319_KakaoChatBot | migrations/versions/be785dc4b32c_.py | be785dc4b32c_.py | py | 960 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "alembic.op.batch_alter_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.... |
14234405766 | from flask import Flask
import userStorage
from flask import request
app = Flask(__name__)
@app.route("/api/add_record", methods=['POST'])
def addUserController():
response = user_repository.addUser(request.json)
return response
@app.route("/api/last_10", methods=['GET'])
def getLast10UsersController():
... | wixxxez/DataCamp_Homework | DataEngeniering_RESTAPI/code/app.py | app.py | py | 865 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "userStorage.UserReposi... |
32406604073 | import pygame
from Net import Server, Client
import socket
from time import sleep
from enum import Enum
from Render import Render
import Ivent
class actions(Enum):
ANGLE_UP = 1
ANGLE_DOWN = 2
POWER_UP = 3
POWER_DOWN = 4
SHOOT = 5
NEXT_GUN = 6
PREV_GUN = 7
MOVE_LEFT = 8... | D0ct0rZl0/pt_tanks | Process.py | Process.py | py | 6,091 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "Net.Server",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "Net.Client",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "Ivent.start_as_host",
"line_numbe... |
1693994444 | from pandas_datareader import data as pdr
import pandas as pd
import datetime as dt
from dateutil.parser import parse
import fix_yahoo_finance as fyf
def today_date():
'''
utils:
get the datetime of today
'''
date=dt.datetime.now().date()
date=pd.to_datetime(date)
return date
def get_da... | jpola/StocksFeeder | stocks_feeder/stocks_feeder/downloader.py | downloader.py | py | 1,646 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pandas.to_datetime",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dateu... |
30134108123 | import numpy as np
import random
import os
import os.path
import pickle
from pathlib import Path
from datetime import datetime
# Configuration file
from conf import read_conf
# Features
from file_loader import fit_normalizer
from file_loader import read_feat_file
from sklearn import preprocessing
# Labels
from phone... | kevinmchu/PhonemeClassificationPytorch | train_hierarchical.py | train_hierarchical.py | py | 10,974 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "torch.device",
... |
8969309264 | import asyncio
import json
import logging
from typing import Iterable
from aiohttp import web
from sqlalchemy.orm.attributes import flag_modified
from aiohttp_translation import gettext_lazy as _
from block_ip.decorators import api_key
from bot.messages.base import BotMessage
from bot_viber import defines
from bot_vi... | demidov91/mogiminsk | bot_viber/viber_server.py | viber_server.py | py | 5,057 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "messager.bot_server.BotServer",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "bot_viber.defines.VIBER_BOT",
"line_number": 30,
"usage_type": "attribute"
},
{
"... |
13567404130 | from django.http import JsonResponse, HttpResponse, QueryDict
from django.core.paginator import Paginator
from . import models
from . import forms
from django.views import View
from django.db.models import Q
from utils.tools import model_to_dict
class CaseView(View):
def post(self,request):
form = forms.Ca... | haoshanwei/python-sted | day16/dj_test/testcase/views_new.py | views_new.py | py | 5,615 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.views.View",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.core.paginator.Paginator",
"line_number": 22,
"usage_type": "call"
},
{
"api_nam... |
70029208862 | import asyncio
async def work(x): # 通过async关键字定义一个协程
for _ in range(3):
print('Work {} is running ..'.format(x))
coroutine_1 = work(1) # 协程是一个对象，不能直接运行
loop = asyncio.get_event_loop()
# task = loop.create_task(coroutine_1) # 创建一个task方式一
task = asyncio.ensure_future(coroutine_1) # 创建一个ta... | ximury/python | 异步/async_four.py | async_four.py | py | 1,132 | python | zh | code | 0 | github-code | 7 | [
{
"api_name": "asyncio.get_event_loop",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "asyncio.ensure_future",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "asyncio.Future",
"line_number": 23,
"usage_type": "attribute"
}
] |
26469983893 | import requests
API_ENDPOINT = "https://opentdb.com/api.php"
PARAMETERS = {
"amount": 10,
"type": "boolean",
"category": 18,
}
response = requests.get(url=API_ENDPOINT, params=PARAMETERS)
response.raise_for_status()
question_data = response.json()["results"] | zoard-ehmann/100-days-of-python | Day34/Quizzler/data.py | data.py | py | 275 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
}
] |
4503637428 | #!/usr/bin/python3
# coding=utf-8
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
pc_ds =np.genfromtxt('ds.csv',delimiter=',')
ax=plt.figure().gca(projection='3d')
ax.plot(pc_ds[:,0],pc_ds[:,1],pc_ds[:,2],'.r',markersize=0.5)
ax.set_title('ds')
plt.show()
pc_scene=np.genfr... | ZhangLanTao/Robot-Grab-using-PointCloud | dump/view_data.py | view_data.py | py | 773 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
43792583068 | import time
from common.db import open_database_session
from common.log import logger
from weather.stsc.api import STSC
from weather.stsc.settings import (ITERATIONS_LIMIT_TO_SEARCH_CONVECTION_CELLS,
SLEEP_TIME_TO_GET_CONVECTION_CELLS_IN_SECS)
# global variables
session = None
def... | iuriramos/DunnoTheWay | dunnotheway/weather/stsc/tracker.py | tracker.py | py | 1,076 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "weather.stsc.api.STSC",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "common.db.open_database_session",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "weather.stsc.settings.ITERATIONS_LIMIT_TO_SEARCH_CONVECTION_CELLS",
"line_number": 22,
... |
22461184410 | import os
import pickle
from scipy.io.wavfile import read
from sklearn.mixture import GaussianMixture
from sklearn import preprocessing
import numpy as np
import python_speech_features as mfcc
#Calculate and returns the delta of given feature vector matrix
def calculate_delta(array):
rows,cols = array.shape
d... | karageee/Login-system-and-gmm-voice-auth | API/app/voices.py | voices.py | py | 3,613 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "python_speech_features.mfcc",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.scale",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "s... |
14197682035 | # from pudb import set_trace; set_trace()
from typing import List
import math
import string
class Solution:
def isAlienSorted(self, words: List[str], order: str) -> bool:
"""LeetCode 953
Convert each word to regular alphabet with letter corresponding to the
order.
O(MN + NlogN), ... | FanchenBao/leetcode | 2023_02_challenge/02_02_2023.py | 02_02_2023.py | py | 1,053 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 17,
"usage_type": "attribute"
}
] |
44058263604 | sids = ['100000001', '100000002', '100000003', '100000004']
midtermMarks = [52.0, 71.5, 90.0, 44.25]
with open('midterm_grades.csv', 'w') as file:
for i in range(len(sids)):
file.write(sids[i] + ',' + str(midtermMarks[i]) + '\n')
'''
100000001, 52.0
100000002, 71.5
'''
import json
with open('students.jso... | randyfortier/CSCI1030U_001_Examples | Week08/files.py | files.py | py | 1,175 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
}
] |
6339971364 | # -*- coding: utf-8 -*-
import fcntl
import logging
import datetime
from odoo import models, fields, api
from odoo.modules.module import get_module_resource
_logger = logging.getLogger(__name__)
def _file_lock(flag=fcntl.LOCK_EX):
FILE_PATH = get_module_resource('demo_sequence', 'static/SN.LOCK')
file = op... | ruter/TNK-Odoo-Demo | demo_sequence/models/models.py | models.py | py | 1,758 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fcntl.LOCK_EX",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "odoo.modules.module.get_module_resource",
"line_number": 14,
"usage_type": "call"
},
{
"api_... |
5615037832 | import praw
import datetime
import time
from feedgen.feed import FeedGenerator
SELF_POST_BONUS = 150
def readSecrets():
with open("redditAppData", "r") as f:
lines = [l.rstrip("\n") for l in f.readlines()]
client_id, client_secret, user_agent = lines
return {
"client_id":client_id,... | Tehforsch/redditRss | redditRss.py | redditRss.py | py | 3,603 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "praw.Reddit",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "feedgen.feed.FeedGenerator",
"line_number": 34,
"usage_type": "call"
}
] |
30267954455 | """
Asynchronous HTTP client for Aucote. It's using tornado's AsyncHTTPClient.
"""
import logging as log
import functools
from typing import Any
from tornado import gen
from tornado.httpclient import AsyncHTTPClient, HTTPRequest, HTTPError
import ujson
def retry_if_fail(min_retry_time: int, max_retry_time: int, ma... | FCG-LLC/aucote | utils/http_client.py | http_client.py | py | 3,360 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "logging.warning",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "tornado.gen.sleep",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "tornado.gen",
"... |
35636928142 | #!/usr/bin/python
import argparse, codecs, datetime, pandas, sys, os, time
import suds, httplib, pprint
from sklearn.feature_extraction.text import CountVectorizer
from googleads import adwords
from progress.bar import Bar
reload(sys)
sys.setdefaultencoding("UTF-8")
COUNTRYCODES = {'MY': '2458', 'TH': '2764', 'ID': ... | rafeyhusain/ip | tools/keyword-planner/keyword-planner.py | keyword-planner.py | py | 8,933 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "suds.WebFault",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "ppr... |
4447572600 | import urllib.request
import urllib.parse
from xml.dom import pulldom
def getRouteInfo(routeID):
key = '?serviceKey=TPp1KG1HsvfuMpXci0dkTYUCv7kljFQbDg%2FSySWRADJwGhzJ3dMBk%2FHDzyACWywjlGuiX3ycKh1NZ4ISvWExTg%3D%3D'
serverurl = 'http://ws.bus.go.kr/api/rest/'
service = 'busRouteInfo'
methodname = 'getRou... | Lyricia/2017-Script | Project/getRouteInfo.py | getRouteInfo.py | py | 993 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "urllib.request.request.Request",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 12,
"usage_type": "name"
},
{
"api_nam... |
2509196259 |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import datasets, svm
import re
from collections import defaultdict
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
from skl... | Gildewarz777/SVM | student-mat.py | student-mat.py | py | 2,802 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_... |
25805801286 | from django.test import TestCase
from django.urls import reverse
from .models import Product, Category
from django.contrib.auth.models import User
class TestAllProductsView(TestCase):
def setUp(self):
self.url = reverse("products")
self.category = Category.objects.create(name="Test Category")
... | SergiyKochenko/pp5-house-stock-ecommerce | products/tests_products_views.py | tests_products_views.py | py | 1,136 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Category.objects.create",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
10503429623 | """ <DFS와 BFS> https://www.acmicpc.net/problem/1260 """
import sys
from collections import defaultdict, deque
input = sys.stdin.readline
graph = defaultdict(list)
n,m,v = map(int, input().split()) # 노드(정점), 간선, 시작 노드
# graph 만들기
for i in range(m):
a,b = map(int, input().split())
# 간선은 양방향
graph[a].appen... | YuseonChoi/algorithm-using-python | Algo/dfs/1260.py | 1260.py | py | 1,318 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 44,
"usage_type": "call"
}
] |
5546359443 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.selector import Selector
from AI.items import AiItem
import json
class A12306Spider(scrapy.Spider):
name = 'a12306'
allowed_domains = ['dynamic.12306.cn']
start_urls = ['http://dynamic.12306.cn/otn/board/query']
def parse(self, response):
str=j... | lidongtaolk/AI | AI/AI/spiders/a12306.py | a12306.py | py | 912 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "AI.items.AiItem",
"line_number": 14,
"usage_type": "call"
}
] |
29114105948 | from flask import Blueprint,make_response,render_template,make_response
from flask_restful import Resource,fields,marshal_with,Api
FIELDS_STRING_ = {
# attribute 的意思是修改名称 把title修改成school
"username": fields.String,
"email": fields.String,
}
'''
使用ajax给前端进行传值
'''
#使用蓝图
blue_bp = Blueprint("blue",__name_... | yuanjia123/html_get_data_by_jquery | api_blue.py | api_blue.py | py | 834 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask_restful.fields.String",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "flask_restful.fields",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "flask_restful.fields.String",
"line_number": 7,
"usage_type": "attribute"
},
{
... |
16360326220 | from __future__ import annotations
import os
import time
from typing import TYPE_CHECKING
import qbe.cli as cli
from qbe.support import sudo_write
from qbe.utils import jinja
from qbe.handler.service_reload import ServiceReload
from ..base import ConfigOperation, BaseProvider
if TYPE_CHECKING:
from qbe.package imp... | vertexbz/qbe | qbe/feature_provider/mixin/services.py | services.py | py | 1,775 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "base.ConfigOperation",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "base.BaseProvider",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "qbe.cli.L... |
3623698141 | import saspy
class Utilities:
def __init__(self, session = None):
if session is None:
self.sas = saspy.SASsession(cfgname=saspy.SASsession().sascfg.SAScfg.SAS_config_names[0])
else:
self.sas = session
def procExists(self, plist: list) -> bool:
"""
Checks... | sassoftware/saspy | saspy/tests/util.py | util.py | py | 1,606 | python | en | code | 345 | github-code | 7 | [
{
"api_name": "saspy.SASsession",
"line_number": 6,
"usage_type": "call"
}
] |
27156907529 | from tkinter import *
from tkinter.ttk import *
from playsound import playsound
import math
import threading
# ---------------------------- CONSTANTS ------------------------------- #
PINK = "#e2979c"
RED = "#e7305b"
GREEN = "#9bdeac"
YELLOW = "#f7f5dd"
FONT_NAME = "Courier"
WORK_MIN = 25
SHORT_BREAK_MIN = 5
LONG_BREA... | TiPSYDiPSY/pomodoro | main.py | main.py | py | 3,163 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "threading.Thread",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_n... |
6890679016 | # -*- coding: utf-8 -*
#!/usr/bin/python3
import config
def sql_shell(coon):
while True:
xuanze = input("[+]请输入要执行SQL语句：")
if xuanze.upper() != "Q" :
payloads = xuanze + ";"
print(payloads)
result = config.mssql_exec(coon=coon, payload=payloads).sql... | doubleshuaibi/MssqlSeckill | sql_shell.py | sql_shell.py | py | 440 | python | en | code | 12 | github-code | 7 | [
{
"api_name": "config.mssql_exec",
"line_number": 13,
"usage_type": "call"
}
] |
41062827611 | import pandas as pd
import matplotlib.pyplot as plt
data = pd.read_csv("vehicle_data_sep2022.csv")
print(data)
plt.scatter(data["Age"],data["Vehicle"])
plt.xlabel("Age")
plt.ylabel("Vehicle")
plt.show() | VedantMahale30/Machine-Learning-Training | L7/p5.py | p5.py | py | 213 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
34770621711 | import tkinter as tk
import random as r
import webbrowser as wb
import json
from nltk.stem import WordNetLemmatizer as wnl
import os
import difflib
from googlesearch import search as s
import pyjokes
theme_color = "#25383C"
font1 = "Microsoft YaHei Light"
login = False
file = "intents.json"
a = json.loads(open(file).r... | abdullashahzan/myprojects | rem.py | rem.py | py | 15,512 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "nltk.stem.WordNetLemmatizer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tkinter.Frame",
... |
9888713607 | from dicttoxml import dicttoxml
import os
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
def xml_resource(exam: dict, quizzes: dict) -> str:
dictionary = {
"id": exam['id'],
"name": exam['name'],
"date": exam['date'],
"feedback": exam['feedback'],
"quizzes": quizze... | a88877689/Poliquizz | dragon/utils/xml.py | xml.py | py | 574 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "dicttoxml.dicttoxml",
"... |
32527584041 | import yfinance as yf
import streamlit as st
import pandas as pd
import plotly.express as px
st.set_page_config(layout="wide")
st.title("Ativo Analytics")
ticker1 = st.text_input("Digite o ticker do primeiro ativo (por exemplo, BTC-USD):")
ticker2 = st.text_input("Digite o ticker do segundo ativo, caso queira compara... | alex-ads/AtivoAnalytics | app.py | app.py | py | 3,615 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.text_input",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit... |
4186330408 | from flask import Flask, request
app = Flask(__name__)
@app.route("/")
@app.route("/<path:path>")
def echo_server(path):
url = request.full_path
method = request.method
header = request.headers
data = request.data.decode()
return f'''======
URL: {method} {url}
--
header:
{header}
--
data:
{data}
... | shinpoi/spdier | echo_server.py | echo_server.py | py | 414 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.request.full_path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.request.met... |
36830707198 | import telebot
from config import keys, TOKEN
from extensions import Exchange, ExchangeException
bot = telebot.TeleBot(TOKEN)
@bot.message_handler(commands=['start'])
def start(message: telebot.types.Message):
text = 'Привет! Я Бот по конвертации валют. И я могу: \nСписок доступной валюты: /values\nЧто бы узнать ... | Julsmcw/pythonProjecttelbot | main.py | main.py | py | 2,038 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "telebot.TeleBot",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "config.TOKEN",
"line_number": 5,
"usage_type": "argument"
},
{
"api_name": "telebot.types",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "telebot.types",
... |
11214541890 | from klampt import *
from klampt import vis
from klampt.vis.glrobotprogram import *
from klampt.math import *
from klampt.sim import *
from klampt.model import ik,coordinates,config
import time
import numpy as np
import trimesh
import os
import random
from copy import deepcopy
def get_top_grasp(mesh, link):
# TODO... | mass2010chromium/TRINA | Resources/grasping/grasping_main.py | grasping_main.py | py | 4,527 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "copy.deepcopy",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "klampt.model.ik.objective",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "klampt.model.ik",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "klampt.model.... |
20000913183 | import datetime
from django.db import IntegrityError
from django.http import HttpResponseRedirect, Http404
from django.shortcuts import render
from django.views import View
from django.core.serializers import serialize
from django.core.cache import cache
from django.core.paginator import Paginator
from rest_framework ... | McElast/UrlShortener | shortme/views.py | views.py | py | 6,668 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "models.ShortenUrl.objects.filter",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "models.ShortenUrl.objects",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "models.ShortenUrl",
"line_number": 27,
"usage_type": "name"
},
{
... |
42753269292 | from .db import db, environment, SCHEMA, add_prefix_for_prod
from datetime import datetime
playlist_song = db.Table(
'playlist_song',
db.Model.metadata,
db.Column('id', db.Integer, primary_key=True ),
db.Column('song_id', db.Integer, db.ForeignKey(add_prefix_for_prod('songs.id'))),
db.Column('playl... | jameslovescoding/Flow | app/models/playlist_song.py | playlist_song.py | py | 525 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "db.db.Table",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "db.db",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "db.db.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "db.db",
"line_number": 6,
"us... |
22146204328 | #%%
import datetime
import json
import os
import openai
from retrieval import RetrievalSystem
openai.api_key = os.environ["OPENAI_API_KEY"]
# db can be found here: https://github.com/adactio/TheSession-data/blob/main/json/tunes.json
DB_PATH = "data/tunes.json"
TEMPERATURE=1
MAX_TOKENS=256
TOP_P=1
FREQUENCY_PENALTY... | erl-j/scrap | scrap.py | scrap.py | py | 3,154 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "openai.api_key",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "openai.ChatCompletion.create",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "open... |
33807964808 | import collections
import html
import threading
from gi.repository import Gtk
import gpodder
from gpodder import download, util
_ = gpodder.gettext
class DequeueRequest:
def __init__(self):
self.cv = threading.Condition()
self.value = None
self.resolved = False
def dequeue(self):
... | gpodder/gpodder | src/gpodder/gtkui/download.py | download.py | py | 7,484 | python | en | code | 1,186 | github-code | 7 | [
{
"api_name": "gpodder.gettext",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "threading.Condition",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gtk.ListStore",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_nam... |
6836101520 | #!/usr/bin/env python
from database import Database as Database
from config import Config as Config
from terraform import Terraform as Terraform
from azure import Azclass as Azclass
credenciais = Config("/home/damato/projetos/dados.json")
#base = Database(credenciais)
az = Azclass(credenciais)
models = Config("terrafo... | rocko83/terra | terra/src/parser.py | parser.py | py | 624 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "config.Config",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "azure.Azclass",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.Config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "terraform.Terraform",
"li... |
10142197540 | # Pneumonia
# Dataset from: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia
# Importing the libraries
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Convolution2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
# Initializing the CNN
cl... | andersli53/Course-Work | Pneumonia.py | Pneumonia.py | py | 2,411 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "keras.models.Sequential",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "keras.layers.Convolution2D",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras.layers.MaxPooling2D",
"line_number": 19,
"usage_type": "call"
},
{
"api_... |
37481862050 | import struct
from collections import namedtuple
from collections.abc import MutableSequence
import numpy as np
from . import classes, lzw, util
@util.proxy('slots', 'properties', logical_screen_descriptor=classes.LogicalScreenDescriptor)
class GIF(MutableSequence):
"""
Represents an animated GIF.
... | supposedly/whatgif | whatgif/core.py | core.py | py | 6,386 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.abc.MutableSequence",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 117,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "nump... |
35648995484 | '''
This material is based upon work supported by the
Defense Advanced Research Projects Agency (DARPA)
and Naval Information Warfare Center Pacific
(NIWC Pacific) under Contract Number N66001-20-C-4024.
The views, opinions, and/or findings expressed are
those of the author(s) and should not be... | AICPS/mindsight_cfg2vec | core/acfg_parser.py | acfg_parser.py | py | 33,528 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
40921392791 | #! /usr/bin/python3
import logging
import sys
from urllib.parse import urlparse
import socket
from http_browser.Browser import Browser
from http_browser.HttpServerMessage import HTTP_STATUS
from tcp.Exceptions import ClosedSocketException
__author__ = "njhazelh"
logging.basicConfig(
format='[%(asctime)s] {%(fil... | njhazelh/Networking-Fundamentals-s2015 | project4/rawhttpget.py | rawhttpget.py | py | 2,952 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "http_browser.Browser.Browser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sy... |
70517196705 | #!/usr/bin/env python3
import requests
def upload_data(target, data, timeout=None):
# first upload the data
r = requests.put(f"https://{target}/update/stage", data=data, verify=False, timeout=timeout)
print(r.content)
# then trigger the install
r = requests.post(f"https://{target}/update/install"... | anvilsecure/azure-sphere-re | tools/package_tools/uploader.py | uploader.py | py | 698 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "requests.put",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",... |
38828879401 | import numpy as np
import matplotlib.pyplot as plt
n = m = 10
N = 17
gi = []
hi = []
gi_help = []
hi_help = []
for ind in range(1, 11):
gi_res = 1.5 + (1 / N) * np.sin(ind)
hi_res = 1.5 + (1 / N) * np.cos(ind)
gi.append(gi_res)
hi.append(hi_res)
gi_help.append([ind, gi_res])
hi_help.append([in... | VitasVital/Bachelor_course | Maga1Sem/Modeling of information processes/Semestrovaya 2.py | Semestrovaya 2.py | py | 530 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.sin",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.step",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"l... |
18124035480 | from unittest import TestCase, main as unittest_main, mock
from bson.objectid import ObjectId
from app import app
sample_game_id = ObjectId('5d55cffc4a3d4031f42827a3')
sample_game = {
'title': 'Cat Images',
'price': 'Cats acting weird',
'images': 'https://upload.wikimedia.org/wikipedia/commons/e/ee/Grumpy_... | kmurata798/contractor | test.py | test.py | py | 3,094 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "bson.objectid.ObjectId",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "app.app.test_client",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "app.app",... |
9638218030 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
# In[2]:
p = pd.date_range(start ='2020-05-01', periods=7)
print(p)
# ###https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases
# Frequency 옵션들
# In[4]:
p = pd.date_range(start='2020-01-01', periods = 4, freq=... | 2seunghyuck/java-web-project0208 | python-basic/sutdyPyFile/python_day_04.py | python_day_04.py | py | 19,607 | python | ko | code | 0 | github-code | 7 | [
{
"api_name": "pandas.date_range",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.date_range",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.date_range",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.date_ran... |
17770297936 | ## environment setup
import unicodedata
import re
import json
import nltk
from nltk.tokenize.toktok import ToktokTokenizer
from nltk.corpus import stopwords
import pandas as pd
import acquire
###################################################################################################################
def ba... | johngrinstead/natural-language-processing-exercises | prepare.py | prepare.py | py | 4,005 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "unicodedata.normalize",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.ToktokTokenizer",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "nltk.token... |
43680969586 | import requests
import translate
from translate import Translator
from pyowm import OWM
from requests import get
owm = OWM('8c32dd4e6171baabc661ac89852c5509')
mgr = owm.weather_manager()
ip = get('https://ipapi.co/ip/').text
def find_city_by_ip(ip=ip):
try:
response = requests.get(ur... | Twixerbot/Weather-in-your-city | main.py | main.py | py | 1,720 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pyowm.OWM",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_n... |
41662197217 | # -*- coding:utf-8 -*-
#@Time : 2020/6/3 下午2:49
#@Author: kkkkibj@163.com
#@File : headless_browser.py
#无头浏览器测试
from selenium import webdriver
chromedriver = '/Users/hongyanma/Desktop/chromedriver'
import time
# from selenium.webdriver.chrome.options import Options
# chrome_options = Options()
chrome_options = webdri... | redrockhorse/python | palmgo3.5/headless_browser.py | headless_browser.py | py | 760 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 16,
"usage_type": "call"
},
{
"api... |
5200804725 | import numpy as np
from sklearn.decomposition import PCA
from sklearn.decomposition import FastICA
from sklearn.preprocessing import StandardScaler
import pandas as pd
import ta
from tqdm import tqdm
import warnings
import plotly.graph_objects as go
import os
from utils import read_df
warnings.simplefilter("ignore")
... | FrancoUysp/TT | src/preprocess.py | preprocess.py | py | 11,172 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "warnings.simplefilter",
"line_number": 14,
"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": "utils.read_df",
"... |
44486944843 | from django.db import models
from wagtail.core.models import Orderable
from wagtail.snippets.models import register_snippet
from wagtail.admin.edit_handlers import (
FieldPanel,
MultiFieldPanel,
InlinePanel,
PageChooserPanel,
)
from modelcluster.fields import ParentalKey
from modelcluster.models import Cluste... | dentemm/healthhouse | menus/models.py | models.py | py | 2,911 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "wagtail.core.models.Orderable",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 19,
"usage_type": "name"
},
{
"api_nam... |
41582834208 | #!/usr/bin/env python
"""
deepthought@42 ~ $ pdlisten
[{constants.success}]: Server is listening on 192.168.1.58:8080
[{constants.success}]: Connection Key: 192@168@1@58+8080
[{constants.success}]: Waiting for a connection for files...
This program is used to listen for incoming connections from the
pdsnd.py progra... | SblipDev/PyServed | pyserved/pdlisten.py | pdlisten.py | py | 5,440 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "socket.socket",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 77,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
"line... |
39290892426 | import pygame
from typing import Any, Tuple
from colorama import Fore, Style
import json
import pickle
from engine.core import EngineSettings
from asi import settings
from .sprites.player.player import PlayerSprite
from .sprites.environment.obstacle import Obstacle
from .sprites.environment.decoration import Decorat... | FofuHupopo/ASI | asi/main/map.py | map.py | py | 34,884 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "sprites.player.storage.Storage",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "sprites.npc.trader.Trader",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "sprites.enemy.kamikaze.Kamikaze",
"line_number": 52,
"usage_type": "name"
},
... |
8997406314 | import pytest
import pathpy as pp
from pathpy import TemporalNetwork
from pathpy.algorithms.path_extraction import PaCo
from collections import Counter
@pytest.fixture
def tempnet():
tn = pp.TemporalNetwork()
tn.add_edge('a', 'b', timestamp=1)
tn.add_edge('b', 'c', timestamp=2)
tn.add_edge('b', 'd',... | pathpy/pathpy | pathpy/tests/test_path_extraction.py | test_path_extraction.py | py | 6,820 | python | en | code | 77 | github-code | 7 | [
{
"api_name": "pathpy.TemporalNetwork",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pathpy.TemporalNetwork",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyt... |
19720981025 | def iterate_array(arr, f=None):
i = 0
while True:
if not arr[i]:
break
yield arr[i] if f is None else f(arr[i])
i += 1
def is_iterable(obj):
from collections import Iterable
return not (isinstance(obj, str) or isinstance(obj, bytes)) and isinstance(obj, Iterable)
| matusvalo/python-easyldap | easyldap/libldap/tools.py | tools.py | py | 317 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "collections.Iterable",
"line_number": 11,
"usage_type": "argument"
}
] |
25000732797 | import torch
from torch import nn, optim
class LSTMTrainer:
def __init__(self, model, learning_rate):
self.model = model
self.criterion = nn.MSELoss()
self.optimizer = optim.Adam(model.parameters(), lr=learning_rate)
def train(self, dataloader):
self.model.train()
epoc... | shadowaxe99/writer1 | pywritesmooth/LSTMTrainer.py | LSTMTrainer.py | py | 653 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.nn.MSELoss",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.optim.Adam",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_numbe... |
38539903608 | import tkinter as tk
from datetime import datetime
from tkinter import font
import os
time = datetime.now().strftime("%Y-%m-%d %H%M")
# 获取当前文件所在目录的绝对路径
current_dir = os.path.abspath(os.path.dirname(__file__))
# 获取上两级目录的绝对路径
parent_dir = os.path.abspath(os.path.join(current_dir, os.pardir))
parent_dir = os.path.abspat... | Dennissy23/py_serial | get_time.py | get_time.py | py | 1,373 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
40516488560 | from PIL import Image
import os
import shutil
src_folder = "D:/Programming/Python/3.6/Project/WatchingVideoPsychophysiology/data/lab/video/test_black"
tar_folder = "D:/Programming/Python/3.6/Project/WatchingVideoPsychophysiology/data/lab/video/tar"
backup_folder = "D:/Programming/Python/3.6/Project/WatchingVideo... | jo-ym/Watching-Video-Emotion | wvemotion/video/test_black.py | test_black.py | py | 4,151 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PIL.Image.open",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 54... |
37291705853 | import cv2
import numpy as np
import base64
# from MarioGame import MarioGame
import tensorflow as tf
from tensorflow.keras.models import Sequential
import joblib
import os
example = cv2.imread("example.png")
mario_image = cv2.imread("mario_image.png")
filepath = os.path.dirname(os.path.realpath(__file__))
... | serverum/AI-Bot-beating-Super-Mario | main.py | main.py | py | 5,172 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12... |
24366083696 | import os
import cv2
"""
*** IMPORTANT ***
Change these paths to the absolute paths in your context (pwd)
"""
# Path to your /input_img directory
path = r'/Users/esauabraham/Documents/CSE455/cvblokusproject/TrainingImages/Processed'
# Path to your /output_img directory
output_dir = r'/Users/esauabraham/Documents/CSE45... | Esauidk/cvblockproject | resizeImages.py | resizeImages.py | py | 959 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.chdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
... |
26391893193 | import os.path
import socket
import time
from utils import calculate_limit
from storage import Storage
from configs import BUF_SIZE, KEY_PHRASE, SERVER_PORT, TIMEOUT, TIMEOUT_UDP, SERVER_TCP_PORT
SAVING_DIR = os.path.join(os.getcwd(), 'my_saves')
class Client:
def __init__(self, username, lock):
self._... | Daniil-Solo/Socket-Chat-App | code/client.py | client.py | py | 4,075 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.getcwd",
"lin... |
3235294510 | """added url, tag and tool_file to tool
Revision ID: 0615faca43b1
Revises: befa07ac5d1c
Create Date: 2022-05-30 20:34:29.878224
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '0615faca43b1'
down_revision = 'befa07ac5d1c'
branch_labels = None
depends_on = None
... | Kraken-CI/kraken | server/kraken/migrations/versions/0615faca43b1_added_url_tag_and_tool_file_to_tool.py | 0615faca43b1_added_url_tag_and_tool_file_to_tool.py | py | 707 | python | en | code | 107 | github-code | 7 | [
{
"api_name": "alembic.op.add_column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Unicode... |
21438059141 | from django.contrib import messages
from django.db.models import Q
from django.db.models.functions import Lower
from django.shortcuts import render, redirect, reverse, get_object_or_404
from products.models import Product, Category
def all_products(request):
"""
A view to show all products, including sortin... | Tmuat/handmade-by-ellie | products/views.py | views.py | py | 2,613 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "products.models",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "products.models.Product.objects.filter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "products.models.Product.objects",
"line_number": 15,
"usage_type": "attribute"
}... |
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