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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8218028 | from pathlib import Path
import shutil
the_dir = Path().home() / "repos/pyman"
dest_dir = Path().home() / "repos/myst_nb/docs/examples/pyman"
notebooks = list(the_dir.glob("**/*txt"))
print(notebooks)
for a_notebook in notebooks:
new_name = dest_dir / a_notebook.name
print(new_name)
shutil.copy(a_notebook... | eoas-ubc/eoas_tlef | pyman/move_material.py | move_material.py | py | 331 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "shutil.copy",
"line_number": 11,
"usage_type": "call"
}
] |
44933547743 | from gensim.models import KeyedVectors
import image_read as image_read
import pandas as pd
import re
import numpy as np
from ast import literal_eval
'''
This class receives the image,
performs the similarity and recommends the quotes
'''
class QuoteFinder:
def __init__(self, path):
self.path = path
... | pran4ajith/quote-learning | quote_finder.py | quote_finder.py | py | 1,663 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gensim.models.KeyedVectors.load_word2vec_format",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "gensim.models.KeyedVectors",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 25,
"usage_type": "call"
},... |
35733914527 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name='pydrip',
version='0.2.0',
author="Matthew Clarkson",
author_email="mpclarkson@gmail.com",
description="A Python 3 client for the Drip API.",
long_description=long_description,... | flypaperplanes/pydrip | setup.py | setup.py | py | 682 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "setuptools.setup",
"line_number": 5,
"usage_type": "call"
}
] |
36234924161 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 1 10:04:59 2018
@author: vganapa1
"""
import numpy as np
from scipy.io import loadmat
import matplotlib.pyplot as plt
from scipy.ndimage.interpolation import shift
def F(mat2D): # Fourier tranform centered at zero
mat2D = np.fft.fftshift(mat2D... | Mualpha7/Engineering_JupyterFiles | ENGR 030. Computation optics/CLEAN_TutorialNov1.py | CLEAN_TutorialNov1.py | py | 2,511 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.fft.fftshift",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.fft",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.fft.fft2",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.fft",
"lin... |
16176218244 | # coding: utf-8
from rest_framework import serializers
from swutils.phone import gen_canonical_phone, CanonicalPhoneGenerationException
from sms_devino.client import DevinoException
from core import models
class Sms(serializers.ModelSerializer):
result = serializers.SerializerMethodField()
class Meta:
... | telminov/sms-service | core/serializers.py | serializers.py | py | 2,693 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.SerializerMethodField",
"line_number": 9,... |
4848628333 | # ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.11.3
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
# +
"""
This cell sets up the information ... | cvisionai/tator-py | examples/move_to_new_section.py | move_to_new_section.py | py | 4,081 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "tator.get_api",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 97,
"usage_type": "call"
}
] |
42689748720 | import numpy as np
from scipy.spatial.distance import cdist
from collections import defaultdict
from sace.sace import SACE
class CaseBasedSACE(SACE):
def __init__(self, variable_features, weights=None, metric='euclidean', feature_names=None,
continuous_features=None, categorical_features_lists... | riccotti/Scamander | sace/casebased_sace.py | casebased_sace.py | py | 9,044 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "sace.sace.SACE",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "scipy.spatial.distance.cdist",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.sum... |
31663210078 | import gym
import numpy as np
from stable_baselines3.common.env_checker import check_env
from stable_baselines3.common.callbacks import BaseCallback
from stable_baselines3 import DQN
env = gym.make('navi_env:navi-env-v0')
train = True
new_train = True
model_name = "distance_matters"
steps = 10000
class ... | engelmannakos/onlab | dqn.py | dqn.py | py | 1,661 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gym.make",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "stable_baselines3.common.callbacks.BaseCallback",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "stable_baselines3.DQN",
"line_number": 21,
"usage_type": "call"
},
{
"api... |
24237381680 | import cv2
from matplotlib import pyplot as plt
import numpy as np
img = cv2.imread('flower.jpg',0)
equ = cv2.equalizeHist(img)
res = np.hstack((img,equ))
cv2.imshow('histogram img',res)
cv2.waitKey(0)
cv2.destroyAllWindows()
histg = cv2.calcHist([img],[0],None,[250],[0,256])
plt.plot (histg)
plt.show()
| puja2504/cv-programs | histogram.py | histogram.py | py | 317 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.equalizeHist",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number":... |
20392370999 | import time
from splinter import Browser
from bs4 import BeautifulSoup
from selenium import webdriver
def init_browser():
# @NOTE: Replace the path with your actual path to the chromedriver
executable_path = {"executable_path": r"C:/Users/ddzmi/Desktop/chromedriver.exe"}
return Browser("chrome", **executa... | ddzmitry/Tutoring | PythonScraping/scrape_surfing.py | scrape_surfing.py | py | 1,566 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "splinter.Browser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 27,
"usage_type": "call"
}
] |
4767495324 | # coding: utf-8
from fastapi import FastAPI
from starlette.middleware.cors import CORSMiddleware
from predict import FineTuningNet
from pydantic import BaseModel
app = FastAPI()
# モデルの定義
net = FineTuningNet()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_met... | May4bwu/perfume-ai | api/main.py | main.py | py | 524 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "predict.FineTuningNet",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "starlette.middleware.cors.CORSMiddleware",
"line_number": 15,
"usage_type": "argument"
},
{
... |
8698747409 | import random
import matplotlib.pyplot as plt
import numpy as np
class Bucket:
def __init__(self, start, end, sub_sum=None):
self.start = start
self.end = end
self.sub_sum = sub_sum if sub_sum is None else sub_sum
def __repr__(self):
return f"({self.start},{self.end})"
class... | songks0922/algorithm | python/solutions/dgim.py | dgim.py | py | 4,149 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "random.randint",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 159,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 160,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
72401623395 | import base64
import io
import json
import os
from os import listdir
from os.path import join
from time import time
import PIL.Image
import numpy as np
import matplotlib.pyplot as plt
import cv2
import src.data.utils.utils as utils
import src.data.constants as c
'''
There will be folders inside masks_test called 'file... | gummz/cell | src/data/annotate_from_json_old.py | annotate_from_json_old.py | py | 3,338 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "src.data.utils.utils.set_cwd",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "src.data.utils.utils",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "src.data.constants.RAW_FILES_GENERALIZE",
"line_number": 46,
"usage_type": "attribute"
... |
34442426524 | import theano
import theano.tensor as T
import numpy as np
from neupy.core.properties import (NumberProperty, ProperFractionProperty,
ParameterProperty)
from neupy.utils import asfloat, as_tuple
from neupy.core.init import Initializer, Constant
from .activations import AxesProperty
f... | ravisankaradepu/saddle | layers/normalization.py | normalization.py | py | 6,242 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "base.BaseLayer",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "activations.AxesProperty",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "neupy.core.properties.ProperFractionProperty",
"line_number": 98,
"usage_type": "call"
},
{
... |
5053431386 | from flask_classful import FlaskView, route
from flask import request, jsonify
from application.API.utils import AuthorizeRequest, notLoggedIn, b64_to_data
from application.API.Factory.BLFactory import BF
from application.API.Factory.SchemaFactory import SF
class APIPostView(FlaskView):
def index(self):
re... | theirfanirfi/flask-book-exchange-apis | application/API/APIRoutes/PostView.py | PostView.py | py | 5,197 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask_classful.FlaskView",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "application.API.utils.AuthorizeRequest",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.headers",
"line_number": 10,
"usage_type": "attribute"
},
... |
18601164642 | import sys
import os
# Tell syspath where to import modules from other folders in root direcotry
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from env import EnvReader
from model.combine import CombineData
class Command:
""" Command line command execution """
def __init__(self):... | piotrr79/csvApiParser | command.py | command.py | py | 1,641 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
33372804607 | import logging
import os
from aiogram import Bot, Dispatcher, types
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters.state import State, StatesGroup
from aiogram.utils import executor
from smartcontract_interaction import *
from dot... | dexXxed/student_residence_queue | main.py | main.py | py | 4,564 | python | uk | code | 0 | github-code | 1 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
... |
70170767393 | import pyttsx3
from datetime import *
import speech_recognition as sr
import wikipedia
import webbrowser
import os
#Initialization of pyttsx3 module
engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
engine.setProperty('voices', voices[0].id)
#Creating a function which will speak the giv... | gauravmanocha/Virtual-Assistant | VAssistant.py | VAssistant.py | py | 5,775 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pyttsx3.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "speech_recogni... |
15690331612 | from django.conf.urls import patterns, url
from rest_framework import routers
import views
import api
from forms import LoginForm
urlpatterns = patterns('',
url(r'user/(?P<pk>[\d]+)/?$', views.ListTweetsByUser.as_view(), name='user-tweet-list'),
url(r'hashtag/(?P<tag>[-_\w]+)/?$', views.ListTweetsByHashTag.as_v... | lafaiDev/mini-blog | apps/blog/urls.py | urls.py | py | 972 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "views.ListTweetsByUser.as_view",
"line_number": 12,
"usage_type": "call"
},
{
"api... |
38755112529 | import numpy as np
import pyart
import gc
import tempfile
import os
# We want cfgrib to be an optional dependency to ensure Windows compatibility
try:
import cfgrib
CFGRIB_AVAILABLE = True
except ImportError:
CFGRIB_AVAILABLE = False
# We really only need the API to download the data, make ECMWF API an
#... | openradar/PyDDA | pydda/constraints/model_data.py | model_data.py | py | 21,863 | python | en | code | 77 | github-code | 1 | [
{
"api_name": "tempfile.NamedTemporaryFile",
"line_number": 164,
"usage_type": "call"
},
{
"api_name": "cdsapi.Client",
"line_number": 171,
"usage_type": "call"
},
{
"api_name": "pyart.config.get_field_name",
"line_number": 226,
"usage_type": "call"
},
{
"api_name... |
41585759269 | from typing import Optional, List
from .types import LanguageConfig, ModifierType, ResourceStr, PRODUCES_ADD, PRODUCES_MULT, \
UPKEEP_MULT, UPKEEP_ADD, EconomicCategoryKey, COST_MULT, COST_ADD
from .utils import Writer, generate_resource_loc
def _unpack_resource_id(resource: ResourceStr):
return resource if ... | Stellaris-Evolved/stellaris-evolved | tools/uml/modifier.py | modifier.py | py | 5,978 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "types.ResourceStr",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "types.ModifierType",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "types.ResourceStr",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "types.ModifierT... |
16805360824 | #!/usr/bin/python3
import argparse
from os import system
from sys import stdout
from scapy.all import *
from random import randint
def get_args():
parser = argparse.ArgumentParser(description='SYN Flood Attack --- Press CTRL+C to stop the attack!')
parser.add_argument('--ip', required=True)
parser.add_arg... | OceanicSix/Python_program | scapy_code/tcp_attack/syn_flood.py | syn_flood.py | py | 1,386 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "random.randint"... |
33649721176 | import tweepy
from tweepy import OAuthHandler
from tweepy import API
C_KEY = ''
C_SECRET = ''
A_TOKEN_KEY = ''
A_TOKEN_SECRET = ''
auth = tweepy.OAuthHandler(C_KEY, C_SECRET)
auth.set_access_token(A_TOKEN_KEY, A_TOKEN_SECRET)
api = tweepy.API(auth)
keyword = '@delta'
keyword2 = 'delta airlines'
keyword3 = 'american ... | lauradan/cse482 | twitter_collection_rest.py | twitter_collection_rest.py | py | 1,422 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 12,
"usage_type": "call"
}
] |
27670978290 | #! /usr/bin/env python3
# -*- coding:utf-8 -*-
'''
cleans the an crubadan corpus for fijian a bit.
all consonant-final words are removed.
all words with 'h' are removed.
then english words are identified by intersecting list with Celex.
hyphens, hashtags, ampersands removed. spaces added.
'''
import os,sys, itert... | gouskova/transcribers | fijian/fijian_cleaner.py | fijian_cleaner.py | py | 1,649 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
28770160800 | from matplotlib import pyplot as plt
from GradientByHand import renew_lrbyhand
from GradientDescentUpdateModel import renew_gradientdescent
from MultiScikit import renew_multivariate
def plot():
ypoints = []
for i in range(50):
ypoints.append(i)
byhandpoints = []
gradient, bias = re... | EFRobins/SurfPrediction | Graphs.py | Graphs.py | py | 900 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "GradientByHand.renew_lrbyhand",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "GradientDescentUpdateModel.renew_gradientdescent",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 19,
"usage_type"... |
34370474574 | import copy
from config_manager import ConfigManager
from lib import arrow
from master.error.validate_exception import RecipeValidationException
from util.gdal_util import MAX_RETRIES_TO_OPEN_FILE
from util.time_util import DateTimeUtil, execute_with_retry_on_timeout
from util import list_util
from master.evaluator.ev... | kalxas/rasdaman | applications/wcst_import/recipes/general_coverage/grib_to_coverage_converter.py | grib_to_coverage_converter.py | py | 19,682 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "recipes.general_coverage.abstract_to_coverage_converter.AbstractToCoverageConverter",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "recipes.general_coverage.abstract_to_coverage_converter.AbstractToCoverageConverter.__init__",
"line_number": 88,
"usage_type": "... |
1440866299 | # stdlib imports
import sqlite3
import xml.etree.ElementTree as ET
import copy
from collections import OrderedDict
import re
import logging
# third party imports
import numpy as np
# local imports
TABLES = OrderedDict((
('station',
OrderedDict((
('id', 'str primary key'), # id is net.sta
... | ynthdhj/shakemap | shakelib/station.py | station.py | py | 26,887 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "collections.OrderedDict",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 31,
"usage_type": "call"
},
{
"api_name"... |
21585286375 | #!/usr/local/bin/python3
import numpy as np
import pandas as pd
import psycopg2 as pg
import sys, os, re
from collections import defaultdict
from matplotlib import pyplot as plt
import os, sys, datetime, argparse, pytz, glob, logging, re, csv, operator, math, logging.handlers
from dy8_signals import *
class Stats:
d... | chenxu0602/ChinaFutures | dy8_stats.py | dy8_stats.py | py | 3,455 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "collections.defaultdict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.... |
41758952234 | from django.urls import path
from . import views
from django.conf.urls import url
urlpatterns = [
path('', views.home, name='dict-home'),
path('about/', views.about, name='dict-about'),
url(r'^$', views.button),
url(r'^output', views.output,name="script"),
path('about/', views.home),
url(r'^tes... | ManolisFrag/django_dictionary | dict/urls.py | urls.py | py | 397 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.... |
8092625762 | import argparse
import requests
import os
import queue
import sounddevice as sd
import vosk
import sys
import json
from bs4 import BeautifulSoup
from query_wikipedia import process_p, process_l
import win32com.client
import re
head = """<?xml version="1.0"?>
<speak version="1.0" xml:lang="ru">\n"""
tail = "\n</speak... | eabuntov/poiist_lab | lab3.py | lab3.py | py | 6,875 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "win32com.client.client.Dispatch",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "win32com.client.client",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "win32com.client",
"line_number": 19,
"usage_type": "name"
},
{
"api_n... |
20022974903 | #!/usr/bin/env python3
"""
session.py
==========
Small library for interacting with the sendgrid API
"""
from .base import BaseMailService
import requests
import json
__version__ = 'v0.0.1'
class MailService(BaseMailService):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
... | alexdro87/sendgrid | sendgrid/syncservice.py | syncservice.py | py | 1,451 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "base.BaseMailService",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "requests.session",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "requests.codes",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "json.decode... |
6785175471 | import MySQLdb
import logging
from logging import handlers
import ogr, osr
import sys, os
import math
from ConfigParser import SafeConfigParser
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s')
vlbg = (1,)
def setupLogging():
''' set up the Python logging facility '''
#... | JosephSchafer/sbstools | testing/flightstats.py | flightstats.py | py | 3,820 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.handlers.RotatingFileHandler",
"line_number": 17,
"usage_type": "call"
},
{
"api_name... |
13210571246 | from flask import Flask, request
import json
import mysql.connector
from flask_cors import CORS
from flask import jsonify
import ast
app = Flask(__name__)
CORS(app)
current_user_id = 0
#Set mysql access credentials
file = open("/tmp/secrets/credentials", "r")
content = file.read()
config = ast.literal_eval(content... | EGS-BillsDivider/WebApp | app/backend/src/main.py | main.py | py | 2,704 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
... |
31754675357 | from lib import config
from lib import utils
CONF = config.get_config().CONF
class Mock(object):
"""
Centralize calls to mock command, setting the arguments common to
all of them.
"""
def __init__(self, config_file, unique_extension):
"""
Initialize arguments common to all mock ca... | schabrolles/open-power-host-os-build | lib/mock.py | mock.py | py | 1,198 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "lib.config.get_config",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "lib.config",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "lib.utils.run_command",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "lib.utils",
... |
15703394426 | from django.http import JsonResponse
from django.shortcuts import render
from .forms import MyForm
import nltk
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from nltk.stem import WordNetLemmatizer
from .chat_actions import action_check
from .questions_answers import qa_pairs as qa_pairs
# De... | ignitedevv/mMoney1 | budget/howy_views.py | howy_views.py | py | 2,544 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "nltk.download",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nltk.stem.WordNetLemmatizer... |
24485477779 | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 28 11:21:32 2023
@author: rghot
"""
import streamlit as st
from st_aggrid import JsCode, AgGrid, GridOptionsBuilder #https://blog.streamlit.io/building-a-pivottable-report-with-streamlit-and-ag-grid/
from st_aggrid.shared import GridUpdateMode
import datetime... | heliostrome/streamlit_app | pages/Add_solar_pumping_system_files/solar_module_files/solar_funcs.py | solar_funcs.py | py | 12,154 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "streamlit.session_state",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "streamlit.session_state",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 32,
"usage_type": "call"
},
{
"a... |
25171252929 | # This files contains your custom actions which can be used to run
# custom Python code.
#
# See this guide on how to implement these action:
# https://rasa.com/docs/rasa/core/actions/#custom-actions/
# This is a simple example for a custom action which utters "Hello World!"
from typing import Any, Text, Dict, List,... | KushanChamindu/hcss-rasa-chatBot-Doctor | actions.py | actions.py | py | 7,646 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "rasa_sdk.Action",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Text",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "rasa_sdk.executor.CollectingDispatcher",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "ra... |
44771865121 | # -*- coding: utf-8 -*-
from typing import Tuple
import numpy as np
import torch
def batched_tensor_indexing(
t: torch.Tensor, index: Tuple[torch.Tensor]
) -> torch.Tensor:
"""Index a tensor by matching dimensions from right-to-left instead of left-to-right.
This allows for broadcasting of tensor indexi... | TylerSpears/carn-le | pitn/utils/_utils.py | _utils.py | py | 1,396 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.Tensor",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "typing.Tuple",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.is_tensor",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.stack",
"line_... |
46350327621 | from django.shortcuts import render, HttpResponse, redirect
from django.contrib import messages
from datetime import datetime
from .models import User
# Create your views here.
def index(request):
for object in User.objects.all():
context = {
'id': object.id,
'first_name': object.fi... | RamS2k/Python | Django Apps/main/apps/users/views.py | views.py | py | 1,509 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "models.User.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.User.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.User",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.User... |
25513805421 | from sys import implementation
from typing import Optional, Sequence, Tuple, Union
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from monai.networks.blocks import Convolution, UpSample
from monai.networks.layers.factories import Conv, Pool
from monai.utils import ensure_tuple_r... | KumoLiu/explainablePN | blocks/basic_block.py | basic_block.py | py | 13,887 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.nn.Sequential",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"li... |
19968338135 | import cv2 as cv
import numpy as np
from shared import imgs
sLine = 200
pLine = 200
cannyth = 120
fname = "/Users/kolsha/Pictures/2O_aUamZRZU.jpg"
def standard_lines(dst):
cdst = cv.cvtColor(dst, cv.COLOR_GRAY2BGR)
lines = cv.HoughLines(dst, 1, np.pi / 180, sLine)
if lines is not None:
for line ... | Kolsha/sai_processing | 7task.py | 7task.py | py | 1,877 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.cvtColor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_GRAY2BGR",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cv2.HoughLines",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"l... |
21519230741 | import pandas as pd
import numpy as np
import seaborn as sns
from sklearn.preprocessing import OneHotEncoder, StandardScaler
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
class ImportData:
def __init__(self):
unit_2018=pd.read_csv("Datas/2018_DATA_SA_Units.csv")
crash_201... | matthew2019369/roadCrashAnalysis | script.py | script.py | py | 2,458 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
74703532193 | from collections import OrderedDict
class Solution:
def containsNearbyDuplicate(self, nums: list[int], k: int) -> bool:
dic = OrderedDict()
first_key = 0
for i in range(len(nums)):
if i < k + 1:
if nums[i] in dic:
return True
... | Carl-Johnsons/Noob | PracticeCoding/LeetCode/#1Easy/Contains_Duplicate_II.py | Contains_Duplicate_II.py | py | 686 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "collections.OrderedDict",
"line_number": 6,
"usage_type": "call"
}
] |
12504212316 | #this code is developed by Suraj CB
#Github Profile URL: https://github.com/SurajCB
#This code is contributed to be an Open Source Program
import openai
openai.api_key = "your api openai api key"
messages = []
system_msg = input("What type of chatbot would you like to create?\n")
messages.append({"role": "system", "c... | SurajCB/AI-Chat-bot | Chat gpt powered smart ai chat bot.py | Chat gpt powered smart ai chat bot.py | py | 737 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "openai.api_key",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "openai.ChatCompletion.create",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "openai.ChatCompletion",
"line_number": 16,
"usage_type": "attribute"
}
] |
7612581895 | import argparse
import numpy as np
import motmetrics as mm
parser = argparse.ArgumentParser()
parser.add_argument('--eval_dir_dpm',type=str, required=True)
parser.add_argument('--eval_dir_ssd',type=str, required=True)
parser.add_argument('--output_path', type=str, required=True)
args = parser.parse_args()
########... | cnmy-ro/Enhanced-DeepSORT | Tools/run_mot16_benchmark.py | run_mot16_benchmark.py | py | 4,756 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "motmetrics.MOTAccumulator",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "motmetrics.MOTAccumulator",
"line_number": 41,
"usage_type": "call"
},
{
"api_na... |
29144885954 | import asyncio
import datetime
from utils import postReminder
from dbmongo import db
from utils import premeetReminder
from utils import postmeetReminder
import pytz
Task_details = db.connection()
async def remainder(Client):
try:
data = Task_details.discord.find()
for eachTask... | Guvi-CodeCamp-SRM/GuviBot | src/remainder/remainder.py | remainder.py | py | 1,481 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dbmongo.db.connection",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dbmongo.db",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetim... |
69999816675 | from datetime import date
from fastapi import APIRouter, Depends
from fastapi_versioning import version
from pydantic import TypeAdapter
from app.bookings.dao import BookingDAO
from app.bookings.schemas import SBooking
from app.exceptions import RoomCannotBeBooked
from app.tasks.tasks import send_booking_confirmation... | Sauberr/bookings_project_v1 | app/bookings/router.py | router.py | py | 1,576 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "app.users.models.Users",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "app.users.de... |
29001113439 | import sys, pygame, random
class enemy(pygame.sprite.Sprite):
def __init__(self, posX, posY):
super().__init__()
randomEntity = []
randomEntity = [pygame.image.load("../assets/spaceinvader1.png").convert_alpha(), pygame.image.load("../assets/spaceinvader2.png").convert_alpha(), pygame.ima... | wiltley/SpaceInvadersPyGame | scripts/enemy.py | enemy.py | py | 1,874 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.sprite",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
... |
72797936675 | import pickle
from typing import List
import faiss
from langchain.schema import Document
from langchain.vectorstores import FAISS
from kb_guardian.utils.deployment import get_deployment_embedding
def create_FAISS_vectorstore(document_chunks: List[Document]) -> FAISS:
"""
Create a FAISS vector store from a l... | datarootsio/knowledgebase_guardian | kb_guardian/utils/vectorstore.py | vectorstore.py | py | 1,831 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "langchain.schema.Document",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "kb_guardian.utils.deployment.get_deployment_embedding",
"line_number": 23,
"usage_type": "call"
}... |
1027569415 | from sklearn.ensemble import RandomForestRegressor
from sklearn.datasets import make_regression
import numpy as np
from RobustRF import *
X, y = make_regression(n_features=4, n_informative=2,random_state=0, shuffle=False)
regr = RandomForestRegressor(max_depth=2, random_state=0)
regr.fit(X, y)
RandomForestRegres... | dma092/Forest-type-Regression-with-General-Losses-and-Robust-Forest-an-implementation | base.py | base.py | py | 1,105 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "sklearn.datasets.make_regression",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestRegressor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestRegressor",
"line_number": 15,
"usage... |
19455497708 | from django.shortcuts import render, redirect
from .models import *
from django.contrib import messages
def index(request):
return redirect('/main')
def main(request):
return render(request, "index.html")
def register(request):
errors = User.objects.regValidator(request.POST)
if errors:
for k... | CLMason/travel_buddies | myapp/views.py | views.py | py | 3,216 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.error",
"line_number": 15,
"usage_type": "call"
},
{
"api... |
5059645380 | from __future__ import annotations
from dataclasses import dataclass
from itertools import zip_longest
from math import floor, sqrt
from typing import Any, Literal, Sequence, Tuple
from vsexprtools import ExprList, ExprOp, ExprToken, complexpr_available, norm_expr
from vsrgtools.util import wmean_matrix
from vstools ... | jiaolovekt/HPCENC | deps/vs-plugins/vsmasktools/morpho.py | morpho.py | py | 15,970 | python | en | code | 11 | github-code | 1 | [
{
"api_name": "typing.Tuple",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "vstools.ConvMode",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Sequence",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "vstools.vs.VideoNode",
... |
21735603758 | import os
import sys
import PIL
from PIL import Image, ImageStat
from restore import restore
def main():
# Set default parameters.
debug = False
directory = os.getcwd()
# Parse the command line parameters.
for param in sys.argv:
Dir = param.find("dir=")
if Dir>=0: directory = param[Dir+4:]
g... | monkidea/restore | main.py | main.py | py | 1,652 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.getcwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.chdir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 27,
... |
3813653520 | """
Simple implementation of the CulliganIoT API
This is used to provide an interface between Culligan and Ayla.
Additional API endpoints are unknown and closed source.
Logging in directly to Ayla still works for some endpoints.
Others such as /devices.json only seem to work when obtaining the token through Culliga... | rewardone/Culligan | src/culligan/uniapi_culliganiot.py | uniapi_culliganiot.py | py | 13,114 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "typing.Optional",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "const.CULLIGAN_APP_ID",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "typing.Op... |
38938274806 | from contextlib import suppress
from .utils import (
sap_hana,
df,
)
from .agent_based_api.v1 import (
register,
Service,
Result,
State as state,
get_value_store,
)
from .agent_based_api.v1.type_defs import (
DiscoveryResult,
StringTable,
CheckResult,
Parameters,
)
def pa... | superbjorn09/checkmk | cmk/base/plugins/agent_based/sap_hana_data_volume.py | sap_hana_data_volume.py | py | 3,083 | python | en | code | null | github-code | 1 | [
{
"api_name": "agent_based_api.v1.type_defs.StringTable",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "utils.sap_hana.ParsedSection",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "utils.sap_hana",
"line_number": 24,
"usage_type": "name"
},
... |
15674132526 | # -*- coding: utf-8 -*-
# karaoke sampler v.1.0
import sys
#reload(sys)
#sys.setdefaultencoding('utf-8')
#reload(sys)
#sys.setdefaultencoding('utf8')
import webbrowser
from samplerPlayer import samplerPlayer
from karaokesampler import karaokesampler
from tools.GUIutils import GUIutils
import json
import cv2
i... | carlitoselmago/karaokeSampler | src/main.py | main.py | py | 4,399 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tools.GUIutils.GUIutils",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "flask.Fl... |
40508376516 | import requests
from tqdm import tqdm
from subprocess import Popen
def _download_file(url, destination):
r = requests.get(url, stream=True)
# Total size in bytes.
total_size = int(r.headers.get("content-length", 0))
block_size = 1024 # 1 Kibibyte
t = tqdm(total=total_size, unit="iB", unit_scale... | acannistra/landwatch | landwatch/get/util.py | util.py | py | 765 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 30,
"usage_type": "call"
}
] |
132017384 | """
Kafka Collector Bot
Collects information from the Apache Kafka distributed stream processing system.
Args:
topic (str): topic to collect information from
bootstrap_servers (str): the ‘host[:port]’ string of the Apache Kafka system. Defaults to `localhost:9092`
"""
from intelmq.lib.bot import CollectorBot... | jem0101/BigSwag-SQA2022-AUBURN | TestOrchestrator4ML-main/resources/Data/supervised/GITHUB_REPOS/certtools@intelmq/intelmq/bots/collectors/kafka/collector.py | collector.py | py | 2,178 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "intelmq.lib.bot.CollectorBot",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "intelmq.lib.exceptions.MissingDependencyError",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "kafka.KafkaConsumer",
"line_number": 43,
"usage_type": "call"
... |
7696267710 | import requests as requests
from API.base_api import BaseApi
class WeWork(BaseApi):
corpid = "wwf55a566b6d1c6bd3"
contact_secret = "lsgkRCZorU9MLTU7h-f7s0NsC_AJYoc9z7jWzwW2JlQ"
token = dict()
token_url = "https://qyapi.weixin.qq.com/cgi-bin/gettoken"
@classmethod
def get_token(cls, secret=co... | shadingyu96/apiautotest | API/wework.py | wework.py | py | 724 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "API.base_api.BaseApi",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
}
] |
43361748288 | #coding:utf-8
from __future__ import print_function
import os
import sys
# sys.path.append('../')
import time
import cv2
# import rospy
import math
import pickle
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.animation as animation
import matplotlib.image as m... | mkwork22/CarlaDataPreprocessor | output_sim_images.py | output_sim_images.py | py | 15,170 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "m... |
1908192107 | import tkinter as tk
import tkmacosx as tkmac
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
from display_cube import plot_cube
import cube_moves as cm
import time
import copy
def virtual_cube(master=None):
"""
Provides a virtual interface for cube solving... | gaurav-behera/virtual-rubiks-cube | rubiks_cube/virtual_cube.py | virtual_cube.py | py | 6,875 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "copy.deepcopy",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cube_moves.solved_state",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Frame",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tkinter.Fram... |
7535284663 | import json
from database import get_cart_by_id, set_cart_to_user
import logging
log = logging.getLogger(__name__)
class Cart:
def __init__(self, chat_id):
self.chat_id = chat_id
self.items = self.get_items_by_id()
def add_item(self, item):
item = list(item)
item_id = str(ite... | 1mpossible-code/avarice | classes/cart.py | cart.py | py | 1,256 | python | en | code | 23 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "database.get_cart_by_id",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
71874354595 | # -*- coding: utf-8 -*-
"""
@author: Stefan Mejlgaard
"""
import itertools
import math
def num_digits(number: int) -> int:
"""Return the number of digits in `number`"""
return int(math.log10(number) + 1)
def find_digits(positions: list[int]) -> list[int]:
positions_iter = iter(positions)
position =... | connesy/ProjectEuler | python/problem040/problem040.py | problem040.py | py | 960 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "math.log10",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "itertools.count",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.prod",
"line_number": 41,
"usage_type": "call"
}
] |
43467564915 | from bs4 import BeautifulSoup
import re
import pandas as pd
import time
def getCarInfo(pagina):
doc = BeautifulSoup(pagina, "html.parser")
year_td = doc.find_all(["td"], bgcolor="#ffffff")
for td in year_td:
print(td.get_text())
'''year = year_td.find_next_sibling('td').get_... | Sankhay/Estudos | Python/selenium/getCarInfo.py | getCarInfo.py | py | 23,229 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 177,
"usage_type": "call"
}
] |
25888659781 | import datetime
from typing import Any, Optional, Union
from django.db import models
dt_format = "%Y-%m-%d %H:%M:%S.%f"
class TimestampField(models.CharField):
def __init__(self, *args: Optional[Any], **kwargs: Optional[Any]):
kwargs['max_length'] = 50
super(TimestampField, self).__init__(*args,... | ruler501/multipoll | multipoll/models/fields/timestamp.py | timestamp.py | py | 1,802 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.db.models.CharField",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing... |
31475727911 | from bs4 import BeautifulSoup
import lxml
import requests
res = requests.get("https://web.archive.org/web/20200518073855/https://www.empireonline.com/movies/features/best-movies-2/")
res.raise_for_status()
soup = BeautifulSoup(res.text, "lxml")
titles = soup.select(selector="h3[class='title']")
titles_text = ""
for... | csukel/100_days_of_code | Day45/top-100-movies/main.py | main.py | py | 489 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
}
] |
40133379850 | # suggestions.py
# Code to handle submitting and reviewing suggestions.
# Author: wHo#6933
# Plans:
# 1. Submit suggestion command
# 2. List pending suggestions command
# 3. Accept/Decline suggestions command
# Json format:
# {
# "id" (int): {
# "user": userId (int),
# "suggestion": suggestion (str)
# ... | notbowen/CTSSBot | cogs/Suggestions/suggestions.py | suggestions.py | py | 6,644 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "functions.readSuggestions",
"line_number": 45,
"usage_type": "call"
},
{
"api_... |
26975726274 | #!/usr/bin/python3
import sys
import argparse
import hmac
import http
import urllib
from urllib import parse
from http import client as httpclient
parser = argparse.ArgumentParser()
parser.add_argument('url')
parser.add_argument('secret')
args = parser.parse_args()
payload = sys.stdin.read().encode()
secret = args.s... | lexbailey/isabelle-theory-build-github-action | signed_post.py | signed_post.py | py | 1,035 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.stdin.read",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "hmac.new",
... |
29281970870 | from collections import defaultdict
import csv
import gzip
import itertools
from pathlib import Path
import tqdm
from repodb.common import logger
from repodb.classes.nodes.disorder import Disorder
from repodb.classes.nodes.gene import Gene
from repodb.classes.edges.gene_associated_with_disorder import (
GeneAssoc... | repotrial/nedrex | nedrex/parsers/disgenet.py | disgenet.py | py | 2,920 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "repodb.classes.nodes.disorder.Disorder.objects",
"line_number": 25,
"usage_type": "call"
},
{
... |
17847426563 |
import StringIO
from datetime import timedelta
from twisted.trial import unittest
from twisted.internet import defer, error
from twisted.mail import pop3
from twisted.cred import error as ecred
from epsilon import structlike, extime
from epsilon.test import iosim
from axiom import store
from xquotient import gra... | rcarmo/divmod.org | Quotient/xquotient/test/test_grabber.py | test_grabber.py | py | 12,582 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "StringIO.StringIO",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "epsilon.extime.Time",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "epsilon.extime",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "xquotient.m... |
23531939947 | """
+===============================+
╦ ╦ ╔═╗ ╔╗╔ ╔═╗ ╔═╗ ╔╦╗
╠═╣ ║ ║ ║║║ ║╣ ╚═╗ ║
╩ ╩ ╚═╝ ╝╚╝ ╚═╝ ╚═╝ ╩
MARKET - PEGGED - ASSETS
+===============================+
called by pricefeed_final.py to upload data matrix for HONEST MPA's to jsonbin.io
if you run this script solo it will create a... | litepresence/Honest-MPA-Price-Feeds | honest/jsonbin.py | jsonbin.py | py | 2,994 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "config_apikeys.config_apikeys",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "config_apikeys.config_apikeys",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "requests.put",
"line_number": 77,
"usage_type": "call"
},
{
"api_name... |
71096893793 | from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from linebot.models import (ButtonsTemplate, PostbackAction, TemplateSendMessage)
import shutil
import testcount
line_bot_api = LineBotApi('g40p1VQDlWGVMHyMd7pL2kZXGj/Qxx0g35zTCf7+NhIN/cUm/... | AliesFY/LALALA | pythonfile/recipi.py | recipi.py | py | 5,306 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "linebot.LineBotApi",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "linebot.WebhookHandler",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "testcount.select_count",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": ... |
25015472158 | from typing import Optional, Dict, Any
import pendulum
from geopy.distance import distance as geopy_distance
from src.data_models import Configuration
def add_calculated_fields(*,
current_item: Dict[str, Any],
initial_status,
current_statu... | krezac/tesla-race-analyzer | src/data_processor/calculated_fields_status.py | calculated_fields_status.py | py | 2,822 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "typing.Dict",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "src.data_models.Configuration",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
16385188379 | from flask import jsonify
from . import app
from .models import DBManager
############## VISTAS API
@app.route("/api/v1/movimientos")
def listar_movimientos():
try:
# db = DBManager(app.config.get("RUTA"))
"""
Hace excepcion para la configuracion tomar el dato en vez de con GET,
s... | RamiroCovian/flask-api | balance/api.py | api.py | py | 2,516 | python | es | code | 0 | github-code | 1 | [
{
"api_name": "models.DBManager",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "models.DBManager",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"... |
17244409261 | import sys
import shapefile
from .utils import Command, FeatureLoader, create_connection, filename_to_table_name
def shp_field_to_sql_type(field):
if field[1] == "L":
return "INTEGER"
if field[1] == "F":
return "FLOAT"
if field[1] == "N":
if field[3] == 0:
return "INT... | chris48s/geometry-to-spatialite | geometry_to_spatialite/shapefile.py | shapefile.py | py | 2,579 | python | en | code | 12 | github-code | 1 | [
{
"api_name": "utils.create_connection",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "shapefile.Reader",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "utils.filename_to_table_name",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": ... |
27818070176 | import time
import struct
import pickle
import random
import socket
import builtins
from copy import deepcopy
from threading import Thread, Lock
import queue
from utils import NoSocketCreated, ConnectionNotEstablished, HandshakeFailure, CONNECTION_STATES, MESSAGE_TYPES
class Packet:
def __init__(self, message_ty... | karthikrangasai/MONKE-Protocol | monke/monke.py | monke.py | py | 11,197 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "struct.pack",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 93,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
... |
3031853440 | import matplotlib.pyplot as plt
def plot_indicators_empirical_analysis(all_sorted_intervals):
"""
:param all_sorted_intervals: all created time intervals
"""
spam_x = []
spam_y = []
non_x = []
non_y = []
counter = 0
for interval in all_sorted_intervals:
if ... | SandraSukarieh/SPRAP | SPRAP/plotting_functions.py | plotting_functions.py | py | 700 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": ... |
16874515340 | #!/usr/bin/env python3
import csv
import glob
import warnings
from typing import List, Tuple
from KaSaAn.core import KappaSnapshot
def find_snapshots(directory: str, prefix: str) -> List[str]:
"""Get the file names of snapshots in specified directory that fit the pattern [dir][prefix][number].ka"""
if direct... | yarden/KaSaAn | KaSaAn/functions/prefixed_snapshot_analyzer.py | prefixed_snapshot_analyzer.py | py | 4,996 | python | en | code | null | github-code | 1 | [
{
"api_name": "glob.glob",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "KaSaAn.core.KappaSnapshot",
"li... |
4825182294 | import requests
from flask import Flask, render_template
from bs4 import BeautifulSoup
file = "kari-sakib-lab-report.txt"
url = "https://climate.nasa.gov/effects/"
def convert_tag_to_str_list(lst):
new_lst = []
for i in lst:
new_lst.append(str(i))
return new_lst
def scraper(url):
r = requests... | karisakib/flask_project | app.py | app.py | py | 1,194 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
38612962346 | # https://www.youtube.com/watch?v=g7KoOUu4v7Q - followed along with this video
# https://drive.google.com/drive/folders/0BwDJQBs1OukNOEtwNlBxUkVlcFk - images and scripts
import sys
import random
import math
import pygame
import pygame.gfxdraw
from pygame.locals import *
pygame.init()
CLOCK = pygame.time.Clock()
# ... | DLopez6877/pgyame-animation | cat_animation.py | cat_animation.py | py | 2,465 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mod... |
16567540614 | #coding:utf8
from flask import Flask,make_response,request
app = Flask(__name__)
@app.route('/cookie')
def set_cookie():
response = make_response('cookie设置成功')
response.set_cookie("name", 'zhang')
return response
if __name__ == '__main__':
app.run(debug=True) | 1071183139/biji | 2_框架/1_flask框架/1_flask的基本使用/10_设置cookie.py | 10_设置cookie.py | py | 288 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.make_response",
"line_number": 10,
"usage_type": "call"
}
] |
18941046142 | from django.shortcuts import render
from accounts.models import Team
# Create your views here.
def dashboard(request):
context = { }
return render(request, 'accounts/dashboard.html', context)
def create_team(request):
if request.POST:
name = request.POST['name']
members = request.POST['... | jabguru/interswitch-mind | accounts/views.py | views.py | py | 588 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "accounts.models.Team.objects.create",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "accounts.models.Team.objects",
"line_number": 15,
"usage_type": "attribute"
... |
42744794274 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import tensorflow as tf
from tensorflow.keras.datasets import imdb
(train_data, train_labels), (test_data, test_labels) = imdb.load_data(num_words=10000)
# In[27]:
class myCallback(tf.keras.callbacks.Callback):
def on_epoch_end(self, epoch, logs={}):
if(... | shahmeerrajput/WorkOnTensorflowNmpyPandas | IMDB DATASET.py | IMDB DATASET.py | py | 2,624 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tensorflow.keras.datasets.imdb.load_data",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.datasets.imdb",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras",
"line_number": 15,
"usage_type": "attribute"
}... |
11177776005 | import os
from selenium import webdriver
import random
import time
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver.common.act... | dr11m/steamSkins | ScriptsForDiffPlatforms/steamMakeOrders.py | steamMakeOrders.py | py | 30,363 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
... |
965185620 | import openpyxl
VOLUNTEER_NUMBER = 1
VOLUNTEER_FIRST_NAME= 2
VOLUNTEER_LAST_NAME= 3
VOLUNTEER_EMAIL = 4
VOLUNTEER_HOUR= 5
VOLUNTEER_POSITION = 6
VOLUNTEER_COMMENT = 7
VOLUNTEER_CERT_LOC = 8
class VolunteerExcelFile:
"""
VolunteerExcelFile Class
"""
def __init__(self, filename:... | jasonwei0224/Volunteer_Certificate_Generator | ca/jason/pdfgenerator/VolunteerExcelFile.py | VolunteerExcelFile.py | py | 2,223 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 35,
"usage_type": "call"
}
] |
24667117253 | from forta_agent import Finding, FindingType, FindingSeverity, Network
from src.detectors import processContract
import rlp
from datetime import datetime, timedelta
from web3 import Web3
cache = []
def calc_contract_address(address, nonce):
address_bytes = bytes.fromhex(address[2:].lower())
return Web3.toChe... | Sapo-Dorado/FortaKnight | src/agent.py | agent.py | py | 1,747 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "web3.Web3.toChecksumAddress",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "web3.Web3",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "web3.Web3.keccak",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "rlp.encode",
... |
14283289627 | import requests
from tests.helpers import NetworkTest
import time
CONTROLLER = '127.0.0.1'
KYTOS_API = 'http://%s:8181/api' % CONTROLLER
class TestE2ESDNTraceInvertedCircuit:
net = None
circuit = None
@staticmethod
def setup_class(cls):
"""run at the beginning for all tests"""
cls.net ... | Alsn2200/tests-kytos- | tests/test_e2e_200_sdntrace.py | test_e2e_200_sdntrace.py | py | 4,307 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tests.helpers.NetworkTest",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "requests.post",
... |
34266333830 | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
import time
def timeit(x, func, iter=10):
torch.cuda.synchronize()
start = time.time()
for _ in range(iter):
y = func(x)
torch.cuda.synchronize()
runtime = (time.time()-start)/iter
return runtime
class HOG... | YutingXiao/Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | hoglayer.py | hoglayer.py | py | 5,424 | python | en | code | 40 | github-code | 1 | [
{
"api_name": "torch.cuda.synchronize",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.synchronize... |
3292374645 | import os
import os.path as osp
import argparse
import numpy as np
import pandas as pd
from tqdm import tqdm
from sklearn import metrics
import torch
from dataset import create_data_loader, preprocess_df
from model import ClassificationModel
from utils import set_seeds, load_config, str2bool
def inference(model, te... | DeepVisionStudy/dacon_breast_cancer | infer.py | infer.py | py | 5,359 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "model.eval",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.sigmoid",
"line_number":... |
15222580959 | import numpy as np
import pickle
from abc import ABC
from keras.layers import Input, Dense, TimeDistributed
from keras.layers import LeakyReLU, Dropout, Bidirectional
from keras.layers import GRU, LSTM
from keras.models import Model
from keras.models import load_model
from modules.constants import Constants
from modu... | chandraseta/paparazzi-id | modules/summarizer/models.py | models.py | py | 8,605 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "abc.ABC",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "modules.constants.Constants.MODEL_PATH",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name":... |
13352323669 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import json
import logging
import numpy as np
import os
import uuid
from pycocotools.cocoeval import COCOeval
from pycocotools import mask as COCOmask
from core.config ... | Min-Sheng/CA_FSIS_Cell | lib/datasets/fis_cell_evaluator.py | fis_cell_evaluator.py | py | 23,521 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "uuid.uuid4",
"line_nu... |
24843804603 | """Helper functions for decoding analysis."""
import warnings
warnings.simplefilter(action='ignore', category=FutureWarning)
warnings.simplefilter(action='ignore', category=DeprecationWarning)
import os
from pathlib import Path
import numpy as np
from scipy import stats
from sklearn.pipeline import make_pipeline
fro... | Cogitate-consortium/cogitate-msp1 | coglib/ieeg/decoding/decoding_helper_functions.py | decoding_helper_functions.py | py | 39,193 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "warnings.simplefilter",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
... |
14751220428 | '''
A set of utility methods that are used in different parts of the framework.
'''
import logging
# Set of bots read from a bot tsv file
bots = None
filterBots = False
def setFilterBots(fb,botfile):
global filterBots,bots
if fb:
try:
bots = set(long(bot) for bot in open(botfile,'r')... | declerambaul/WikiPride | src/utils.py | utils.py | py | 6,973 | python | en | code | 9 | github-code | 1 | [
{
"api_name": "logging.info",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "calendar.monthrange",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "calendar.monthrange",
... |
40930647516 | from django.db import models
######################################################################################################################
class Status(models.Model):
id = models.AutoField(
primary_key=True,
)
title = models.CharField(
verbose_name='Название стадии',
max_... | joinc/SupportCenter | Contract/models.py | models.py | py | 4,741 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.db.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.AutoField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "... |
18176472651 | import os
import shutil
import pickle
import pandas as pd
from sklearn.cluster import KMeans
#pd.set_option('display.max_colwidth', -1)
DATA_PATH = "../ML_data"
target = os.path.join(DATA_PATH, "target.csv")
fp = os.path.join(DATA_PATH, "fp_folded.csv")
y = pd.read_csv(target, index_col = "index")
y = y.loc[(y[... | paulzierep/NP_epitope_predictor | tool/scripts/helper.py | helper.py | py | 4,423 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
25072147771 | import os
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
class scrapebook():
... | Husseinmdarman/BookContentToYoutubeVideos | secondary.py | secondary.py | py | 1,995 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Edge",
"li... |
23152647258 | import json
import random
from typing import Optional
import discord
from discord import app_commands
from discord.ui import Button, View
from pydantic import ValidationError
from client import TextToImageClient
from enums import ErrorMessage, ErrorTitle, ModelEnum, ResponseStatusEnum, SchedulerType, WarningMessages
... | ainize-team/TTI-Bot | src/bot.py | bot.py | py | 22,255 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "discord.Object",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "settings.discord_bot_settings.guild_id",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "settings.discord_bot_settings",
"line_number": 30,
"usage_type": "name"
},
... |
2065842249 | """Module for ingesting quotes from PDF files."""
import os
import subprocess
from typing import List
import tempfile
from .IngestorInterface import IngestorInterface
from .QuoteModel import QuoteModel
class PDFIngestor(IngestorInterface):
"""Ingestor for parsing quotes from PDF files.
This c... | NgoDuyVu1993/Advance_Python_Udacity_Ass2 | QuoteEngine/PDFIngestor.py | PDFIngestor.py | py | 1,945 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "IngestorInterface.IngestorInterface",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tempfile.NamedTemporaryFile",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 40,
"usage_type": "call"
},
{
"ap... |
35131155384 | '''
The following codes are from https://github.com/d-li14/mobilenetv2.pytorch
'''
import os
import torch
import numpy as np
from torchvision import datasets
from torchvision import transforms
DATA_BACKEND_CHOICES = ['pytorch']
try:
from nvidia.dali.plugin.pytorch import DALIClassificationIterator
from nvidia... | snudm-starlab/FALCON2 | src/imagenetutils/dataloaders.py | dataloaders.py | py | 14,404 | python | en | code | 40 | github-code | 1 | [
{
"api_name": "nvidia.dali.pipeline.Pipeline",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "torch.distributed.is_initialized",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "torch.distributed",
"line_number": 40,
"usage_type": "attribute"
},
{
... |
20158053259 | import math
from torch.optim.lr_scheduler import _LRScheduler
class CosineAnnealingWarmUpRestarts(_LRScheduler):
r"""Set the learning rate of each parameter group using a cosine annealing
schedule, where :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}`
is the number of epochs since the last res... | SangHunHan92/2K2K | utils/scheduler.py | scheduler.py | py | 6,051 | python | en | code | 170 | github-code | 1 | [
{
"api_name": "torch.optim.lr_scheduler._LRScheduler",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "math.cos",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "math.log",... |
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