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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
23552489654 | from re import I
import numpy as np
import gym
import random
"""
常に観測値として1を返す環境
環境に対して取るべき行動が周期的に切り替わり、
それに応じて報酬が決定される。
"""
class StaticCyclicEnv0(gym.Env):
def __init__(self, cycle, cycle_cnt_max, action_num, noise):
super().__init__()
self.cycle = cycle
assert self.cycle % action_num == ... | kato-mahiro/periodic_task_experiment | myenvs/myenvs.py | myenvs.py | py | 2,339 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "gym.Env",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Discrete",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "gym.spaces",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Box",
... |
21098832887 | #!/usr/bin/python3
import os
import sys
import argparse
import re
if __name__ == '__main__':
infile_format = ''
cmd_opts = []
id_pat = r''
alt_id_pat = r''
parser = argparse.ArgumentParser(description = """ """)
parser.add_argument('-i', '--infile',
help = f'Speciefies path to input... | jonasfreimuth/dbp-exercises | templates/cli_template.py | cli_template.py | py | 1,556 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"l... |
16774999516 | from django_cas_ng import views as cas_views
from django_cas_ng.models import ProxyGrantingTicket, SessionTicket
from django_cas_ng.utils import get_protocol, get_redirect_url, get_cas_client
from django_cas_ng.signals import cas_user_logout
from django.http import JsonResponse, HttpRequest, HttpResponse, HttpResponseR... | ferenica/sipraktikum-backend | authentication/cas_wrapper.py | cas_wrapper.py | py | 3,330 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework_jwt.settings.api_settings.JWT_PAYLOAD_HANDLER",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "rest_framework_jwt.settings.api_settings",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "rest_framework_jwt.settings.api_settin... |
11934438668 | from collections import Counter
from typing import Counter
def main():
t = int(input())
for i in range(t):
n = int(input())
nums = list(map(int, input().split()))
count = Counter(nums)
print(count)
main()
| Misganaw-Berihun/CONTESTS | After_study_contest_4/Equalize_the_Array.py | Equalize_the_Array.py | py | 245 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Counter",
"line_number": 8,
"usage_type": "call"
}
] |
36189617286 | import requests
url_f = "https://shiqianjiang.cn/home/image/bg"
url_e = ".webp"
headers = {
'Accept': 'image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8',
'Accept-Language': 'zh-CN,zh;q=0.9',
'Connection': 'keep-alive',
'Referer': 'https://shiqianjiang.cn/home/',
'Sec-Fetch-Dest': '... | wuheyouzi/code | PycharmProjects/test/shiqianjiang/shiqianjiang.py | shiqianjiang.py | py | 1,346 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
}
] |
36584541657 | import logging
from datetime import datetime
from pymongo import MongoClient, UpdateOne
class UrlRepository:
def __init__(self):
mongo_client = MongoClient('mongodb://mongodb:27017/')
mongo_db = mongo_client['crawler_db']
self.collection = mongo_db['urls']
try:
self.co... | HarrYoha/url_explorer | src/repositories/url_repository.py | url_repository.py | py | 838 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pymongo.Up... |
74537088743 | # stdlib imports
import asyncio
import time
# project imports
import asyncio_cpu
import asyncio_io
if __name__ == "__main__":
start_time = time.time()
loop = asyncio.get_event_loop()
io_start = time.time()
api_data = loop.run_until_complete(asyncio_io.get_data())
print(f"\nDone. IO bound time: {... | bdelate/talk-python-async | src/asyncio_main.py | asyncio_main.py | py | 592 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "asyncio_io.get_data",
... |
26336332994 | import pytest
from ui.locators import basic_locators
from base import BaseCase
class Test_Target(BaseCase):
@pytest.mark.UI
def test_login(self):
self.log_in('alena1997999@gmail.com', 'tWz+H@&Gws#Yj7L')
assert 'Кампании' in self.driver.title
@pytest.mark.UI
def test_logout(self):
... | penguin7707/demo | code/test_hm1.py | test_hm1.py | py | 1,317 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "base.BaseCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pytest.mark",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark",
"line... |
37941848319 | from kivy.uix.screenmanager import ScreenManager, Screen
from tasks.tsks import A
class Scrn_manger:
sm = ScreenManager()
name = ""
sc = Screen(name="tasks")
# main.right.dodBtn.bind(on_press=main.dod)
def to_lists(self, sc, a):
self.sm.current = "lists"
self.sm.remove_widget(sc)... | domenSedlar/ToDoAppClient | scrn_mangr.py | scrn_mangr.py | py | 874 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "kivy.uix.screenmanager.ScreenManager",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "kivy.uix.screenmanager.Screen",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tasks.tsks.A",
"line_number": 24,
"usage_type": "call"
}
] |
40047690606 | import csv
import os
import datetime
from datetime import date, datetime, timedelta
import matplotlib.pyplot as plt
from rich.console import Console
console = Console()
current_date = date.today().strftime("%d/%m/%Y")
# Generates unique ID for each new line in each csv file
def generate_id(file_name):
with open(... | Juliazijd/winc_superpy | superpy/helpers/buy_sell_products.py | buy_sell_products.py | py | 6,563 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rich.console.Console",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "csv.reader",
... |
18659247749 | import numpy as np
import pandas as pd
from sklearn.model_selection import KFold, train_test_split
from sklearn.preprocessing import LabelEncoder,OneHotEncoder
from keras.utils import np_utils
import tensorflow as tf
from MB_nn import MB_nn
from keras.utils.np_utils import to_categorical
from sklearn.metrics import ... | EricXue92/MB_NN | main.py | main.py | py | 5,247 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.isnan",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.One... |
15130212540 | # A brief script to convert GIF files to RAW with Vector's screen dimensions. Use GIF files that are 184x96 for best results.
# Expected Python Version is 3.9.
import os,sys
#import struct
import array
from PIL import Image
#import Image
SCREEN_WIDTH,SCREEN_HEIGHT = 184,96 #240,240 #180,240
SIZE = (SCREEN_WIDTH,SCREE... | digital-dream-labs/oskr-owners-manual | examples/change_boot_anim/gif_to_raw.py | gif_to_raw.py | py | 2,400 | python | en | code | 35 | github-code | 36 | [
{
"api_name": "array.array",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "os.path.basename",
"line_num... |
15058607422 | # Importing the ChoiceMC class
import sys
import os
try:
from ChoiceMC import ChoiceMC, loadResult
except ModuleNotFoundError:
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir)))
from ChoiceMC import ChoiceMC, loadResult
import matplotlib.pyplot as plt
import time
import num... | AndrewBright34/ChoiceMC | Parametric_Sweeps/ChoiceMC_Sweep_Entanglement.py | ChoiceMC_Sweep_Entanglement.py | py | 6,148 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
37728423811 | from tkinter import *
import pyttsx3
import PIL.ImageOps
from PIL import Image
import numpy as np
from PIL import EpsImagePlugin
import tensorflow as tf
import matplotlib.pyplot as plt
import threading
import random
import time
oldtext = ""
physical_devices = tf.config.experimental.list_physical_devices('GPU')
if len(... | galbb12/quick-draw-full-python-tkinter | quick draw.py | quick draw.py | py | 10,113 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "tensorflow.config.experimental.list_physical_devices",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.config.experimental.set_memory_growth",
"line_number":... |
27182569232 | import asyncio
async def num(number):
print("before calling coroutine")
await asyncio.sleep(1)
print('after calling coroutine')
return str(number)
loop = asyncio.get_event_loop()
# n = num(5)
l= loop.run_until_complete(num(5))
print(l)
loop = asyncio.get_event_loop()
# c = loop.create_task(num(5))
#... | sivanagarajumolabanti/Chromata | asyncbasic/asyncfuture.py | asyncfuture.py | py | 364 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "asyncio.sleep",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 15,
"usage_type": "call"
}
] |
38985342452 | #########################################################
### Train & Register Insurance Claims Model ###
#########################################################
###################
### Credentials ###
###################
import keyring
import getpass
import runpy
import os
from pathlib import Path
import... | christopher-parrish/sas_viya | python/tweedie_regressor_python/insurance_claims_auto/pure_premium_python_insuranceclaimsauto.py | pure_premium_python_insuranceclaimsauto.py | py | 17,181 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "runpy.run_path",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keyring.get_password",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keyring.... |
11672647873 | import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import random
fig = plt.figure(figsize=(16,12))
ax = fig.add_subplot(111,projection='3d')
x1 = np.arange(-5,5,0.5)
x2 = np.arange(-5,5,0.5)
x1,x2 = np.meshgrid(x1,x2)
ax.set_xlim(-5,5)
... | akaranjkar/PSO | plot.py | plot.py | py | 929 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"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": "numpy.arange",... |
16002420757 | #!/usr/bin/python3
import os
import cv2
def Smoothing(image_name):
res_dir = os.environ["PY_IMG"]
if res_dir is None:
print("[ERROR] Resources path isn't defined")
# Convertimos a escala de grises
original_image = cv2.imread(res_dir + "/" + image_name, cv2.IMREAD_GRAYSCALE)
if original_ima... | Madophs/Image-Processsing | filters/Smoothing.py | Smoothing.py | py | 1,790 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.imshow",
... |
30391214782 | from django.contrib.auth import authenticate, login
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin
from django.core.exceptions import PermissionDenied
from django.shortcuts import render, get_object_or_404
from .models import *
fr... | sikkzz/cloudprogramming | shop/views.py | views.py | py | 3,758 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 34,
"usage_type": "call"
... |
24556338376 | import hashlib
import json
import os
import argparse
import sys
import hmac
import re
import signal
from multiprocessing import Process
from flask import request
import requests
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.hazmat.primitives.ciphers.algorithms import AES... | tolojo/bank-SA-22-23 | Phase 1/Client/Client.py | Client.py | py | 12,283 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_... |
21518532065 | """
Script for converting json annotations in to csv format for training
Only takes into consideration tool boundary boxes
# Re-implementation from new git clone surgery tool detection
#
"""
import csv
import json
import argparse
from pathlib import Path
from PIL import Image
DATA_DIR = str(Path(__file__).resolve(... | egoodman92/semi-supervised-surgery | MULTITASK_FILES/RETINANET_FILES/src/util/convert_data2.py | convert_data2.py | py | 5,607 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number":... |
28956742527 | import argparse
from pickle import NONE
import random
from wordfreq import zipf_frequency
from constants import *
def get_difficulty_to_words_map(difficulty=None):
difficulty_to_words_map = {}
for word in WORDS:
difficulty = get_word_difficulty(word)
if difficulty not in difficulty_to_words_map... | ravaan/wordle | utils.py | utils.py | py | 3,121 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "wordfreq.zipf_frequency",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pickle.NONE",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "random.choice",
... |
26458087607 | import unittest
import sys
import importlib
from math import sqrt
import BaseTypes
import model
class TestChromosome(unittest.TestCase):
def setUp(self):
self.naturalNumberN = model.Nucleotide(domain=BaseTypes.IntInterval(0,9))
self.lessThan100N = model.Nucleotide(domain=BaseTypes.IntInterval(0,99)... | rtorres19/pyevalres | test_Chromosome.py | test_Chromosome.py | py | 1,705 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "model.Nucleotide",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "BaseTypes.IntInterval",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "model.Nu... |
2594269249 | # This is purely the result of trial and error.
import os
import sys
import codecs
import subprocess
from setuptools import setup
from setuptools import find_packages
import aiowrpr
INSTALL_REQUIRES = [
'aiodns==2.0.0',
'aiohttp[speedups]>=3.7.4',
'aiohttp-apispec==2.1.0',
'apispec==3.2.0',
'asyn... | ishirshov/aiowrpr | setup.py | setup.py | py | 2,821 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.version_info",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sys.version_info",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "codecs.open",
... |
38555784326 | import os
import sys
import docx2python
# Program to convert MS-Word pastes into a less
# annoying text file layout.
# Certain unicode symbols can be annoying to work with.
TRANSLATION_TABLE = [
("“", "\""), ("”", "\""), ("„", "\""),
("’", "'"), ("–", "-"), ("…", "..."),
("•", "*"),
]
def write_output(... | TeilzeitTaco/flesh-network-blog | src/tools/indenter.py | indenter.py | py | 4,906 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.exists",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 97,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 105... |
7971934328 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from nnAudio import Spectrogram
from .constants import *
from .Unet_blocks import *
import sys
import abc
from .normalization import Normalization
from torchvision.models import resnet18
batchNorm_momentum = 0.1
num_instruments = 1
... | w4k2/automatic_music_transcription | model/instrument_recognition_model.py | instrument_recognition_model.py | py | 6,038 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nnAudio.Spectrogram.CQT1992v2",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "nnAudio.Spectrogram",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "nnAudio.Spectrogram.MelSpectrogram",
"line_number": 25,
"usage_type": "call"
},
{
... |
30800487358 | import time, datetime
from screener import Screener
import os, yaml
def log(msg):
print(f"[{datetime.datetime.now()}] - {msg}")
config = yaml.safe_load(open("config.yaml","r"))
folder_left = config['folder_left']
folder_substats = config['folder_substats']
sec_between_screenshot = co... | FrenchieTucker/RPGgearDetection | main_scraper.py | main_scraper.py | py | 1,035 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "yaml.safe_load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.makedirs... |
8365459714 | import pytest
from .. import *
# this is not necessary but mypy complains if it's not included
from .. import CompileOptions
options = CompileOptions()
def test_cond_one_pred():
expr = Cond([Int(1), Int(2)])
assert expr.type_of() == TealType.uint64
cond1, _ = Int(1).__teal__(options)
pred1, _ = In... | gconnect/voting-dapp-pyteal-react | venv/lib/python3.8/site-packages/pyteal/ast/cond_test.py | cond_test.py | py | 3,458 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "pytest.raises",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 115,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"lin... |
21217260203 | import sqlite3 as sq
from others import funcs as f
def sql_start():
global base, cur
base = sq.connect('bd_crypto_users.db')
cur = base.cursor()
if base:
print('BD connected')
base.execute('CREATE TABLE IF NOT EXISTS {}(id PRIMARY KEY, USDT,BTC,ETH)'.format('data'))
base.commit()
def... | AKAMElmf/crypto_trade_bot | database/sqlite_bd.py | sqlite_bd.py | py | 2,756 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "others.funcs.check_crypto_name",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "others.funcs",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "others.fun... |
13870980492 | # 수집할 정보에 대응하는 CSS선택자를 각각 문자열 하나로 만들고, 이들을 딕셔너리 객체에 모아서 BeautifulSoup select함수와 사용하는 기법
# Content는 \
import requests
from bs4 import BeautifulSoup
class Content:
'''
글/페이지 전체에 사용할 기반 클래스
'''
def __init__(self, url, title, body):
self.url = url
self.title = title
self.body = body... | hye0ngyun/PythonPractice | books/webScraping/chap04/chap04Ex2.py | chap04Ex2.py | py | 2,936 | python | ko | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 45,
"usage_type": "call"
}
] |
6554352748 | from __future__ import annotations
# IMPORTS
# =======>
# noinspection PyUnresolvedReferences
import typing
from util.formatter.TextColor import *
from util.formatter.TextEffects import *
from dataclasses import dataclass, field
from copy import deepcopy
# EXPORTS
# =======>
__all__ = [
'FormatString'
]
# MAI... | ButterSus/KiwiPreview | util/formatter/FormatString.py | FormatString.py | py | 6,736 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Any",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "dataclasses.field",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "typing.Iterable",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "dataclasses.fi... |
38666647232 | from requests.adapters import BaseAdapter
from requests.compat import urlparse, unquote
from requests import Response, codes
import errno
import os
import stat
import locale
import io
from six import BytesIO
class FileAdapter(BaseAdapter):
def __init__(self, set_content_length=True):
super(FileAdapter, s... | JimmXinu/FanFicFare | included_dependencies/requests_file.py | requests_file.py | py | 4,729 | python | en | code | 664 | github-code | 36 | [
{
"api_name": "requests.adapters.BaseAdapter",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "requests.compat.urlparse",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.Response",
"line_number": 36,
"usage_type": "call"
},
{
"api_name... |
2248843568 | import os
import glob
import subprocess
import pandas as pd
from PIL import Image
import datetime
datetime.timedelta.min
def get_date_taken(path):
return Image.open(path)._getexif()[36867]
#enter in the directory of your images in the line below
os.chdir('D:/mgickdemo/images')
cwd = os.getcwd()
#unfortunately yo... | Owen-Duncan/LeafAreaQuant | Main.py | Main.py | py | 2,123 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.timedelta",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.chdir",
"line_... |
26222486814 | import json
from datetime import datetime
from . import calc_func
from .db_queries_source import *
from .connection_to_database import create_connection
conn = ''
def insert_to_db(city_sender, city_recipient, urgency, type_of_cargo, weight,
delivery_type, lenght, width, height, declared_value_rate... | DamirF/IB | database_admin/psg_cse_api/psg_cse_api_tools/cse_to_db.py | cse_to_db.py | py | 4,246 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetim... |
19294805910 | import discord
from discord.ext import commands
from cogs.errors import WegbotException
@commands.command(hidden=False, name="pin", brief="Pin a message.", rest_is_raw=True)
@commands.guild_only()
async def pin_that(self, ctx, message_id: int, *, addition=None):
""" Pins the message with the given ID.
You ma... | ChaoticWeg/wegbot2-discord | cogs/messaging/pin.py | pin.py | py | 1,566 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "cogs.errors.WegbotException",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "discord.Embed",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cogs.errors.WegbotException",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": ... |
324210528 | import yaml
from airflow.models import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.operators.bash_operator import BashOperator
def run(script):
execFile('/root/airflow/runtime/{}'.format(script))
def create_python_task(task, dag):
if 'executor_config' in task:
t = P... | Nanjo-Naoto/450 | parser.py | parser.py | py | 1,565 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "airflow.operators.python_operator.PythonOperator",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "airflow.operators.python_operator.PythonOperator",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "airflow.operators.bash_operator.BashOperator",
... |
34715529563 | from torchvision import datasets, transforms
from base import BaseDataLoader
from torch.utils.data import Dataset, ConcatDataset
from data_loader import EcalDataIO
import torch
import random
from pathlib import Path
import numpy as np
from collections import Counter
CSV_LEN = 25410
# --------------------------------... | elihusela/LUXE-project-master | data_loader/data_loaders_backup.py | data_loaders_backup.py | py | 15,351 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "base.BaseDataLoader",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 24,
"usage_type": "name"
},
{
"api_nam... |
40631353290 | import json
from odata import ODataHandler
def test_service_endpoint(service, endpoint="", urlparams={}, sap_client = '100', print_result=False):
"""Simple test function for odata service"""
odatahandler = ODataHandler()
slash = "" if endpoint == "" else "/"
service_endpoint = "/%s%s%s" % (service, sl... | asumansuenbuel/ewm-access | src/test_ewm_connection.py | test_ewm_connection.py | py | 1,617 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "odata.ODataHandler",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
}
] |
7814426661 | from django.core.cache import cache
from kavenegar import *
from redis.exceptions import ConnectionError as RedisServerConnectionError
KEY_KAVENEGAR = '4442494F6A77766776746B3444575466373961693741335956544F6B45683669556B6C7731493538534A413D'
SENDER = '1000596446'
def send_smd(code, phone):
api = KavenegarAPI(KEY... | atefesharifi/login-register-and-dashboard | common/utilities.py | utilities.py | py | 683 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.core.cache.cache.set",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.core.cache.cache",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "redis.exceptions.ConnectionError",
"line_number": 18,
"usage_type": "name"
},
{
... |
31454265122 | import argparse
import subprocess
import os
# Create argument parser
parser = argparse.ArgumentParser(description='Create and build base UFS case')
parser.add_argument("--project", default=None, help='Project to charge', required=True)
parser.add_argument("--tag", default=None, help='Model tag', required=True)
parser.... | benjamin-cash/ufs_utils | ufs_cold_start.py | ufs_cold_start.py | py | 2,759 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.chdir",
... |
22280407323 | from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.http import JsonResponse
# Create your views here.
from server.settings import TENCENT_KEY
from app01.models import User
def index(request):
is_login = request.session.get('is_login', None)
print(f'is_login: {is_lo... | LincolnBurrows/my-wechat-mini-program | server/app01/views.py | views.py | py | 2,661 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "app01.models.User",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "d... |
28418721166 | # Implementation of Selenium WebDriver with Python using PyTest
import pytest
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
import sys
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Ke... | syedsair/rateer-automated-tests | UI/rate.py | rate.py | py | 4,624 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "faker.Faker",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 23,
"usage_type": "name"
},
{... |
36748147361 | import string
import requests
from fudge import __version__
from fudge.utils import FudgeException
def get_repository_name(repo_url):
repo_url = repo_url.rstrip('/')
repo_name = repo_url.split('/')[-1].rstrip('.git')
whitelist = set([char for char in string.ascii_letters + string.digits + '-_'])
if... | QuantamKawts/fudge | fudge/protocol.py | protocol.py | py | 3,209 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "string.ascii_letters",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "fudge.utils.FudgeException",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
2920768004 | from flask_smorest import Blueprint
from flask.views import MethodView
from src.contextmanager import DatabaseContextManager
from src.models import Chama
import uuid
from src.schema import (
ChamaSchema,
ChamaDisplaySchema,
ChamaCreateSchema
)
chama_router = Blueprint('chama endpoints', __name__)
@chama_r... | kenreagan/ChamaYetuBackend | src/Chama/__init__.py | __init__.py | py | 1,904 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask_smorest.Blueprint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.views.MethodView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "src.contextmanager.DatabaseContextManager",
"line_number": 18,
"usage_type": "call"
},
... |
586765290 | import os
import sys
import argparse
import numpy as np
import pdb
sys.path.append("../datasets")
from trainDataset import volume_loader
def parse_args():
parser = argparse.ArgumentParser(description="Deep Learning Model")
parser.add_argument("--root", required=True, type=str,
help="roo... | trainsn/TSR-TVD | eval/lerp.py | lerp.py | py | 1,736 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
14950275682 | from flask import Flask, render_template, render_template, request, redirect, session
from . import auth, queries, uploads
from .utils import Settings
app = Flask(__name__)
app.secret_key = Settings().secret_key
API_BASE_URL = "http://app:8080" # Replace with the actual base URL of your API
# Register blueprints
ap... | talhaanwarch/openai-chatbot | frontend/app.py | app.py | py | 551 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "utils.Settings",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 17,
"usage_type": "call"
}
] |
74523493544 | import matplotlib.pyplot as plt
import glob
import os
import argparse
# File select index out of range exception
class ValueOutOfRange(Exception):
def __str__(self):
return 'Value out of range'
data_path = None
parser = argparse.ArgumentParser()
parser.add_argument('--data', '-d', nargs='?', action='st... | EHAerospace/EHA-TestStand | graph/graph.py | graph.py | py | 2,669 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath"... |
70806707943 | import datetime
from django.http import HttpResponse
from django.shortcuts import get_object_or_404, redirect, render
from .models import *
from .functions import method
from django.http import JsonResponse
# Create your views here.
def index(request):
current_time = datetime.datetime.now()
formatted_time = c... | umleeho1/sugangapply | sugang/views.py | views.py | py | 2,242 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "... |
4867507385 | #!/usr/bin/python3
import numpy as np
import pickle
import matplotlib.pyplot as plt
from matplotlib.patches import FancyArrowPatch
from mpl_toolkits.mplot3d import proj3d
from mpl_toolkits.mplot3d import axes3d
# defining the class for later 3D arrow plots
class Arrow3D(FancyArrowPatch):
def __init__(self, xs, y... | Schlabonski/LennardJonesGas | plotting.py | plotting.py | py | 4,026 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.patches.FancyArrowPatch",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.patches.FancyArrowPatch.__init__",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.patches.FancyArrowPatch",
"line_number": 14,
"u... |
33677649557 | from fastapi.routing import APIRouter
from typing import Annotated
from fastapi import Depends
from app.main.factories import (
make_db_list_videos,
make_db_list_my_videos,
make_db_list_friends_videos
)
from app.schemas.video import VideosListOut
from app.infra.auth import JwtBearer
from app.main.config imp... | Mauricio-Silva/backend-user | app/main/routes/video.py | video.py | py | 1,610 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "fastapi.routing.APIRouter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.main.config.PREFIX",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "app.main.factories.make_db_list_videos",
"line_number": 26,
"usage_type": "call"
},
... |
19365768268 | import telebot
import re
import pymongo
from datetime import datetime
from telebot import types
from bson.objectid import ObjectId
from config import *
bot = telebot.TeleBot(TOKEN)
db = pymongo.MongoClient('mongodb://localhost:27017/').kunyn_team
working_obj = {}
for player in db.players.find():
working_obj[play... | andrii-porokhnavets/telegram_bots | scoring/main.py | main.py | py | 11,279 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "telebot.TeleBot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "telebot.types.ReplyKeyboardMarkup",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "... |
22995979758 |
from time import sleep
import pytest #找到测试用例,执行
import requests #发送请求的包
from common.send_request import SendRequest #导入公共的请求类
from common.yaml_util import write_yaml, read_yaml #yaml文件的操作
# scope="function"-为函数级别 scope="class"-类级别 scope="session"-表示回话 autouse=False-不自动执行 params-数据驱动 ids-数据驱动的别名 name-别名
# @pytes... | xmtxy/pytest | test_case/bzx_test_api.py | bzx_test_api.py | py | 4,370 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "common.send_request.SendRequest",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "common.yaml_util.write_yaml",
"line_number": 48,
"usage_type": "call"
}
] |
36539454569 | # -*- coding:utf-8 -*-
#Name:
#Descripton:
#Author: smartwy
#Date:
#Version:
import os
# print('Process (%s) start ...'%os.getpid())
#
# pid = os.fork() # windows 没有fork调用，linux unix Mac支持fork调用
#
# if pid == 0:
# print('I am child process (%s) and my parent is %s .'%(os.getpid(),os.getppid()))
... | smartwy/python_test | 练习文件/多进程.py | 多进程.py | py | 2,102 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.getpid",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 45,... |
2583396106 | import yaml
def get_latest_jdk(distroJdks):
latest = None
latestInt = 0
for jdk in distroJdks:
if jdk == "latest":
latest = jdk
latestInt = 999
elif int(jdk) > latestInt:
latest = jdk
latestInt = int(jdk)
return latest
def get_lts_jdk(jdk... | basicimg/images | basicimg-actions-generator/jdk.py | jdk.py | py | 2,187 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "yaml.safe_load",
"line_number": 26,
"usage_type": "call"
}
] |
34948989285 | import torch
import os
import logging
import datetime
import argparse
import json
import pandas as pd
import numpy as np
from tqdm import tqdm
from generative_utils import load_model, load_context, process_outputs
def inference(model, tokenizer, question, context, no_ans_threshold, ans_threshold, max_length=4096, s... | Kreik2809/Open-Book-Question-Answering | inference/src/generative_inference.py | generative_inference.py | py | 12,340 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tqdm.tqdm",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "generative_utils.process_outputs... |
21694229487 | import numpy as np
import re
from io import StringIO
def GetChunkFromTextFile(FileName, StartStr, StopStr, skip_header=0, skip_footer=0, LastHit=True, DataType='array'):
# DataType means we can extract the chunk and then turn it into:
# 1) Numpy table 'numpy'
# 2) return the raw text 'raw'
DataType = D... | ZGainsforth/QEScripts | IR/GetChunkFromTextFile.py | GetChunkFromTextFile.py | py | 1,560 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.S",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.float",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number"... |
20883522665 | from unittest import result
from django.shortcuts import render
from django.http import Http404, HttpResponseRedirect
from results.models import WeatherStation
from .apps import ResultsConfig
import pmdarima as pm
import pandas as pd
import numpy as np
from datetime import date
# Create your views here.
def results(re... | shaner13/Ivy | results/views.py | views.py | py | 9,431 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 23,
"usage_type": "call"
},
{
"... |
16445576901 | """ Author: Daniel J. Sawtelle
*** Purpose: Bombard the given URL with randomized form return data
***
*** Source: https://www.youtube.com/watch?v=UtNYzv8gLbs
"""
import os
import random
import string
import json
import time
import requests
""" Function - Return a string object of a date formatted as specified
*** s... | DSawtelle/ScammerSpammer | scammerSpammer.py | scammerSpammer.py | py | 7,010 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.mktime",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.strptime",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.mktime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.strptime",
"line_numbe... |
39279700922 | from plot_model import plot_results
import glob
from astropy.io import fits
import tensorflow as tf
import numpy as np
import time
def weight_variable(shape):
initial = tf.truncated_normal(shape, stddev=0.1)
return tf.Variable(initial)
def bias_variable(shape):
initial = tf.constant(0.1, shape = shape)
return t... | grd349/LearningLAMOST | Matt/ClassifierNN/Old_Models/model_LAMOST_conv.py | model_LAMOST_conv.py | py | 3,910 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "tensorflow.truncated_normal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.Variable",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.constant",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "t... |
20063508538 | from django.urls import path
from api import views
from rest_framework_simplejwt.views import (
TokenRefreshView,
)
app_name = 'api'
urlpatterns = [
path('', views.getRoutes,name='routes'),
path('token/', views.MyTokenObtainPairView.as_view(), name='token_obtain_pair'),
path('token/refresh/', TokenR... | Hack-Weekly/lavender-snake-password-manager | api/urls.py | urls.py | py | 647 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "api.views.getRoutes",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "api.views",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.urls.path"... |
2666772723 | import pandas as pd
from matplotlib import pyplot as plt
data = pd.read_csv("countries.csv")
print(data)
#Compare population growth in the US and China
us = data[data.country == "United States"]
china = data[data.country == "China"]
print(us)
print(china)
#Plot US and China population growth
plt.plot(us.year, u... | CharlesIvia/data-visualization | pop_growth.py | pop_growth.py | py | 486 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
10532200845 | import requests
from datetime import datetime
USERNAME = "kristijan"
TOKEN = "hafdaga134312"
pixela_endpoint = "https://pixe.la/v1/users"
user_params = {
"token": "hafdaga134312",
"username": "kristijan",
"agreeTermsOfService": "yes",
"notMinor": "yes",
}
#response = requests.post(url=pixela_endpoint... | Kvidakovic1/Python-Exercises | Habit_Tracking/main.py | main.py | py | 1,106 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 51,
"usage_type": "call"
}
] |
1674184175 | from django.db import models, connection
# Create your models here.
class News(models.Model):
news_id = models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')
news_title = models.CharField(max_length=200)
news_source = models.CharField(max_length=50)
news_content = models.Tex... | chundonghan/pysite | portal/models.py | models.py | py | 3,193 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.AutoField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
28876927609 | # 配置信息---将用户自定义配置文件及默认配置文件合成一个
import importlib
import os
from lib.conf import global_settings
class Settings():
def __init__(self):
# 获取默认配置文件的内容写入到Settings类的名称空间
for name in dir(global_settings):
if name.isupper():
value = getattr(global_settings, name)
... | Zhu-GF/AutoGatheringAsserts | lib/conf/config.py | config.py | py | 915 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "lib.conf.global_settings",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "lib.conf.global_settings",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "os.environ.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name... |
15295704029 | from django.urls import include, path
from rest_framework import routers
from . import views
app_name = 'articles'
router = routers.DefaultRouter()
router.register(r'articles', views.ArticleViewSet)
urlpatterns = [
# path('', views.article_list, name="list"),
path('', include(router.urls)),
path('api-aut... | Dban1/myDjangoTraining | cynoblog/articles/urls.py | urls.py | py | 698 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_na... |
36164549179 | from blog.models import Post
from django.urls import path
from . import views
# using django view
# from .views import PostListView, PostDetailView, PostCreateView, PostUpdateView, PostDeleteView, post
# urlpatterns = [
# path("", PostListView.as_view(), name="blog-home"),
# path("post/<int:pk>", PostDetailVi... | nubcakee/django-basic-template | blog/urls.py | urls.py | py | 996 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
4014075302 | # 문제 출처 : https://programmers.co.kr/learn/courses/30/lessons/42839?language=python3
from itertools import permutations
import math
def solution(numbers):
answer = 0
'''
오류코드
arr = list(map(int, list(numbers)))
for per in permutations(list(numbers)):
arr.append(int(''.join(per)))
print... | ThreeFive85/Algorithm | Programmers/level2/findPrime/find_prime.py | find_prime.py | py | 1,102 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "itertools.permutations",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 38,
"usage_type": "call"
}
] |
39752425383 | import MySQLdb
class InsertsEmprestimo:
def __init__(self):
self.con = ""
def conecta(self):
host = "localhost"
user = "ProjetoFinal"
password = "123456"
db = "db_biblioteca"
port = 3306
self.con = MySQLdb.connect(host, user, password, db, port)
de... | DavidDevOps2000/ProgramaBibliotecaPython | inserts.py | inserts.py | py | 2,226 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "MySQLdb.connect",
"line_number": 14,
"usage_type": "call"
}
] |
33501403446 | import sys
from lxml import etree
from math import sqrt
from GammaPipeCommon.utility import *
from conf import get_resultsdb_conf
from conf import get_pipedb_conf
import mysql.connector as mysql
import re
import time
import os
import subprocess
class ImportResults:
def import_results(results_xml,check_alert):
... | cta-rta/ctoolsint | ImportResults.py | ImportResults.py | py | 8,133 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.getcwd",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "conf.get_pipedb_conf",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "conf.get_resultsdb_conf",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "mysql.connecto... |
34050456586 | import shadow.utils
shadow.utils.set_seed(0, cudnn_deterministic=True) # set seeds for reproducibility
#%matplotlib inline
import matplotlib.pyplot as plt
from sklearn import datasets
import numpy as np
import random
import math as m
n_samples = 1000 # number of samples to generate
noise = 0.05 # noise to add to sa... | alalba221/Advanced-Machine-Learning | Final23F/Q4.py | Q4.py | py | 3,742 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "shadow.utils.utils.set_seed",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "shadow.utils.utils",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "shadow.utils",
"line_number": 2,
"usage_type": "name"
},
{
"api_name": "sklearn... |
20244284451 | #!/usr/bin/env python
import os
import sys
from lib.util import rm_rf
SOURCE_ROOT = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
def main():
os.chdir(SOURCE_ROOT)
rm_rf('node_modules')
rm_rf('dist')
rm_rf('out')
rm_rf('spec/node_modules')
rm_rf('vendor/brightray/vendor/download/libchrom... | brave/muon | script/clean.py | clean.py | py | 482 | python | en | code | 970 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number... |
30132799933 | from collections import defaultdict
from typing import Tuple, Union
import cv2
import distinctipy
import matplotlib.pylab as plt
import numpy as np
from PIL import Image
def preprocess_image_draw(image: Union[Image.Image, np.ndarray]):
image = np.array(image) # Convert if PIL, copy if numpy
if len(image.sh... | Radio-Memory/radiomemory-ai-api-demo | vis.py | vis.py | py | 10,117 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Union",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PIL.Image.Image",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line... |
31748626437 | import matplotlib.pyplot as plt
from random_walk import RandomWalk
"""make a random walk and plot points as long as the program is active"""
while True:
rw = RandomWalk()
rw.fill_walk()
"""set size of plot window"""
plt.figure(figsize=(10, 6))
point_numbers = list(range(rw.num_points))... | Javataru/data_visualizations | data_graph/data_visualizations/rw_display.py | rw_display.py | py | 876 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random_walk.RandomWalk",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matp... |
34481978389 | from datetime import datetime
import matplotlib.pyplot as plt
"""
Please read the README file before running this code
In order to fully understand the purpose and the execution of this code
"""
def clean_line(line):
cleaned_line = line.strip()
cleaned_line = cleaned_line[1:]
if cleaned_line.st... | andrea-gentilini/InstagramUnFollowers | main.py | main.py | py | 4,840 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
37428725368 | from __future__ import division
from pyglet import image, text
from tdgl.gl import *
from tdgl import part, picking
from tdgl.stylesheet import border_points
__all__ = ('Panel','LabelPanel')
class Panel(part.ScalePart):
"""Base class for things with a bordered panel behind"""
_default_style = dict(
... | scavpy/Scav-Team-Pyweek-Aug-2010 | gamelib/tdgl/panel.py | panel.py | py | 9,576 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "tdgl.part.ScalePart",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tdgl.part",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "tdgl.picking.label",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "tdgl.picking",
... |
17744150099 | import sys
import argparse
import pdb
import os
import time
import getpass
import yaml
import random
import string
from watchdog.observers import Observer
from watchdog.events import PatternMatchingEventHandler
from parse_rest.connection import register
from parse_rest.datatypes import Object
from parse_rest.query im... | mkhairul/codeMonitor | src/agent.py | agent.py | py | 4,886 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "watchdog.events.PatternMatchingEventHandler",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name... |
18264517083 | from django.contrib import admin # 장고에서 제공하는 Admin 기능 사용을 위한 임포트
from .models import Post # 직접 작성한 Post 모델 사용을 위한 임포트
@admin.register(Post) # 어드민 사용을 위한 모델 연결
class PostAdmin(admin.ModelAdmin): # 모델기반의 어드민 사용을 위한 상속
list_display = ['id', 'title', 'content', 'created_at'] # 리스트 화면의 출력 필드 정의
list_editable ... | 3chamchi/likelion-seoul-6th | week5/blog-app/posts/admin.py | admin.py | py | 721 | python | ko | code | 3 | github-code | 36 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 5,
"usage_type": "call"
},
{
... |
7934166631 | '''
Description: Definitions of functions
Author: Nan Li
Contact: linan.lqq0@gmail.com
'''
# import packages
import re
import time
import pandas as pd
from headers import headers
from datetime import datetime
from seleniumwire import webdriver
# short names dictionary
address_dict = ({'road':'rd', 'street':'st', 'plac... | linan-1990/RealestateCrawler | functions.py | functions.py | py | 6,379 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pandas.read_excel",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 50,... |
29748242745 | #server
import os
import tkinter as tk
import sqlite3
import random
from tkinter import ttk
from tkinter import messagebox as mbox
import PIL
from PIL import Image
from tkinter import *
from PIL import Image, ImageTk
from PIL import ImageGrab
import socket
#from gtts import gTTS
#import pyttsx3
from fu... | shetyeanuja/python-mini-projects | Client Server Chat/server.py | server.py | py | 3,275 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "socket.socket",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET"... |
12520460708 | #!/usr/bin/python3
'''
Select data from states table and filter it
by the names that contain an a
then print it.
'''
import sys
from model_state import Base, State
from sqlalchemy import (create_engine)
from sqlalchemy.orm import Session
if __name__ == "__main__":
engine = create_engine('mysql+mysqldb://{}:{}@l... | sebastiancalleu/holbertonschool-higher_level_programming | 0x0F-python-object_relational_mapping/9-model_state_filter_a.py | 9-model_state_filter_a.py | py | 706 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "model_state.Base.metadata.create_all",
"line_number": 19,
"usage_type": "call"
},
{
"api_n... |
72776117224 | import requests
import bs4
from bs4 import BeautifulSoup
import pandas as pd
import time
import csv
import simplejson as json
import threading
def extract_job_title_from_result(soup):
jobs = []
for div in soup.find_all(name="div", attrs={"class":"row"}):
for a in div.find_all(name="a", attr... | arthimj/Web-Scrapping-Python | web_scrapping.py | web_scrapping.py | py | 3,426 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
... |
29495477058 | from pathlib import Path
from my_scientific_profile.papers.papers import (
fetch_all_paper_authors,
fetch_all_paper_infos,
)
papers = fetch_all_paper_infos()
paper_authors = fetch_all_paper_authors()
print(f"fetched {len(papers)} papers and {len(paper_authors)} authors")
from my_scientific_profile.database.a... | tbereau/tbereau | scripts/fetch_papers.py | fetch_papers.py | py | 963 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "my_scientific_profile.papers.papers.fetch_all_paper_infos",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "my_scientific_profile.papers.papers.fetch_all_paper_authors",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "my_scientific_profile.databas... |
13239290421 | """Notes on the different columns of the csv files
PSNR: Peak Signal-to-Noise Ratio
SSIM: Structural Similarity
Loss_D: Discriminator Loss; Used to train Discriminator
Loss_G: Generator Loss; Used to train Discriminator; Composed of img perception and disc Loss
Score_D: Discriminator score given to the real image
Sc... | PierreSp/DL4CV_2017_Final_Project | srgan/plots.py | plots.py | py | 1,509 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number... |
23747786249 | """
Khinshan Khan - oss.py.
This module implements a God class for OS simulation.
"""
from collections import deque
import itertools
from mcm_oss import memory
from mcm_oss import disk
class OSS:
"""An OS mimicker."""
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, tra... | shan-memery/mcm-oss | mcm_oss/oss.py | oss.py | py | 4,275 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mcm_oss.memory.Memory",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "mcm_oss.memory",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "mcm_oss.disk.Disk",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "mcm_oss.disk",... |
26796000187 | import requests
from bs4 import BeautifulSoup
import pprint
def stocks_gainers():
res = requests.get('https://www.google.com/finance/markets/gainers?hl=en')
soup = BeautifulSoup(res.text, 'html.parser')
stocks_container_gainers = soup.find('div', {'class': 'Sy70mc'})
stocks_listing_gainers = st... | Prasadk1234/Project | Stock_monitoring.py | Stock_monitoring.py | py | 1,420 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_n... |
15351976065 | import os
import sys
import torchvision.models as models
import torch
import cv2
import argparse
import os
import time
import json
import sys
import dlib
import pandas as pd
import numpy as np
import imutils
from imutils.face_utils import FaceAligner
from tensorflow.keras.models import load_model, model_from_json
root... | Freja1122/ERFramework | models/face/facePredictions_faceAPI.py | facePredictions_faceAPI.py | py | 4,195 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
15150949741 | """
Generic Kedro Nodes
"""
import logging
import json
from sklearn.ensemble import IsolationForest
from sklearn.covariance import EllipticEnvelope
from sklearn.neighbors import LocalOutlierFactor
from .plugin import hooks
import pandas as pd
from .views import ADAlgorithms, create_samples_os_view
iso_params = {
... | TU-Berlin-SNET/Waldo-Kedro-Plugin | waldo_kedro_plugin/nodes.py | nodes.py | py | 7,196 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pandas.DataFrame",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "views.create_samples_os_view",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "views.ADAlgorithms.IsolationForest",
"line_number": 58,
"usage_type": "attribute"
},... |
10080595644 | #! /usr/bin/python3
import os
import boto3
import json
import logging
import random
import traceback
from datetime import datetime
from python.opentelemetry import trace
from python.opentelemetry.semconv.trace import SpanAttributes
CUSTOM_OTEL_SPAN_EVENT_NAME = 'LambdaUpdateEvent'
SQS_MESSAGE_GROUP_ID = 'otel'
# Re... | utr1903/monitoring-lambda-with-opentelemetry | python/apps/update/lambda_function.py | lambda_function.py | py | 4,368 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "boto3.client"... |
32925227061 | import sqlite3
import sys
import colorama
connection = sqlite3.connect("rubiksql.db")
cursor = connection.cursor()
colorama.init()
def selectTop (cantidad = 10, direction = "ASC", campos = "*"):
global cursor, connection
cursor.execute("SELECT "+campos+" FROM layouts ORDER BY distance "+
... | jonoreilly/python | rubik/rubikLooker.py | rubikLooker.py | py | 2,605 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "colorama.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"li... |
21620485761 | from __future__ import absolute_import
import sys
from typing import ByteString
from typing import Mapping
from typing import NamedTuple
from typing import Optional
from typing import Sequence
from uuid import uuid4
import numpy as np
from past.builtins import unicode
from apache_beam.portability.api import schema_p... | a0x8o/kafka | sdks/python/apache_beam/typehints/schemas.py | schemas.py | py | 6,240 | python | en | code | 59 | github-code | 36 | [
{
"api_name": "numpy.int8",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "apache_beam.portability.api.schema_pb2.BYTE",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "apache_beam.portability.api.schema_pb2",
"line_number": 45,
"usage_type"... |
34451715981 | import arff
import pandas as pd
import numpy as np
import json
import data_utils
import os
def load_data(use_data=None):
data_load = np.load('dataset/'+use_data+str('.npy'))
print(data_load.shape)
return np.asarray(data_load).astype(np.float)
def creat_dataset(directory):
if not os.path.exists(dir... | mvisionai/FedLimited | convert_to_arff.py | convert_to_arff.py | py | 1,605 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_n... |
8306618656 | from django.contrib import admin
from .models import Topic, Course, Student, Order, Review
from decimal import Decimal
def decrease_price(modeladmin, request, queryset):
for obj in queryset:
obj.price = obj.price*Decimal(0.9)
obj.save()
class CourseAdmin(admin.ModelAdmin):
fields = [('title'... | krunal1998/Course-Registration | myapp/admin.py | admin.py | py | 1,417 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "decimal.Decimal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name... |
28297108867 | #!/usr/bin/env python3
from collections import namedtuple
from datetime import datetime
import os, sys, time
import xml.etree.ElementTree as ET
import logging
import yaml
import requests
import re
import twitter
import nltk
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--offset', type=int... | zouharvi/arxiv-twitter | run.py | run.py | py | 5,360 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.F... |
22769347103 | #!/bin/python
import requests
from bs4 import BeautifulSoup
from urllib.parse import urlencode, parse_qs
# Facebook
#ACCESS_TOKEN = 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJkYXRlX2lzc3VlZCI6IjIwMTUtMTEtMjFUMTg6NTc6MzAuNTQ4MDk3IiwiY2xpZW50X2lkIjoiaHR0cDovL2V4YW1wbGUuY29tLyIsInNpdGUiOjQzLCJzY29wZSI6InBvc3QiLCJtZSI6Imh... | kylewm/silo.pub | scripts/do_local_micropub_flickr.py | do_local_micropub_flickr.py | py | 1,961 | python | en | code | 27 | github-code | 36 | [
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 40,
"usage_type": "call"
}
] |
33028130226 | from xml.etree import ElementTree
from blog import app
import sys
import requests
import sys
from bs4 import BeautifulStoneSoup as Soup
def analyze_site_map():
r = requests.get('{}{}sitemap.xml'.format(app.config['WEB_PROTOCOL'], app.config['DOMAIN']))
soup = Soup(r.content)
locs = soup.findAll('loc')
... | mkmoisen/blog | verify_sitemap.py | verify_sitemap.py | py | 888 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "blog.app.config",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "blog.app",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulStoneSoup",
... |
11292852216 | import os
from msgraph import api, sites
authority_host_uri = 'https://login.microsoftonline.com'
tenant = 'XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX'
resource_uri = 'https://graph.microsoft.com'
client_id = 'XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX'
client_thumbprint = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'
client_certifi... | WMInfoTech/python-msgraph | examples/sites_lists.py | sites_lists.py | py | 1,261 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "msgraph.api.GraphAPI.from_certificate",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "msgraph... |
34482110199 | import bpy
import math
bpy.context.scene.frame_end = 180
# add a cube
bpy.ops.mesh.primitive_cube_add()
cube = bpy.context.active_object
# insert keyframe at frame one
start_frame = 1
cube.keyframe_insert("rotation_euler", frame=start_frame)
bpy.context.scene.frame_current = 180
# change the rotation of the cube ar... | ambivalenzia/BlenderPythonProjects | cube_rotation_animation.py | cube_rotation_animation.py | py | 655 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "bpy.context",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "bpy.ops.mesh.primitive_cube_add",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bpy.ops",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "bpy.contex... |
30395093762 | from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from blog.models import Blog, BlogCategory
from blog.api.serializers import BlogApi, BlogCategoryApi
@api_view(['GET',])
def api_blog_view(request):
try:
blog = Blog.objects.all(... | siklerdaniiii/astral | blog/api/views.py | views.py | py | 1,731 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "blog.models",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "blog.models.Blog.objects.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "blog.models.Blog.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name":... |
20060032970 |
import matplotlib.pyplot as plt
import matplotlib.collections as mcoll
from collections import defaultdict
from matplotlib import colors
from matplotlib.lines import Line2D
import warnings
import seaborn as sns
import math
import numpy as np
import pandas as pd
def deCasteljau(b, t):
N = len(b)
a = np.copy(b... | Thopic/chordialement | chordialement/core.py | core.py | py | 17,468 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.copy",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number"... |
12553103859 | import requests
import json
import time
url = 'https://formulae.brew.sh/api/formula.json'
response = requests.get(url)
packages_json = response.json()
results = []
t1 = time.perf_counter()
for package in packages_json:
package_name = package['name']
package_desc = package['desc']
package_url = f'h... | iampaavan/Pure_Python | How to Write Python Scripts to Analyze JSON APIs and Sort Results.py | How to Write Python Scripts to Analyze JSON APIs and Sort Results.py | py | 1,406 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_num... |
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