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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
13323002717 |
# coding: utf-8
# In[1]:
# Import Statements
import numpy as np
import pandas as pd
from sklearn.metrics import *
from sklearn.svm import SVC
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
# In[2]:
# Import data from the UCI database
url = 'https://archive.ics.uci.edu/ml/m... | AndrewCoogan/DS_Certificate | Data Science/Week 9/Homework/AndrewCoogan-L09-DataModelEval.py | AndrewCoogan-L09-DataModelEval.py | py | 4,357 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "pandas.to_numeric",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "numpy.isnan",
... |
72038710772 | from scrape import fetch
from jinja2 import Template
data = fetch()
class feed():
def __init__(self, headline, link):
self.headline = headline
self.link = link
def __repr__(self):
return f"{self.headline} -- {self.link}"
feeds = [feed(data['headline'][i], data['link'][i]) for i in ra... | jatin837/hackfeeds | main.py | main.py | py | 521 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "scrape.fetch",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "jinja2.Template",
"line_number": 19,
"usage_type": "call"
}
] |
74836838133 | import csv
import json
import logging
import os
import nltk
from collections import defaultdict
import markdown
import PyPDF2
import requests
import speech_recognition as sr
import whisper
from bs4 import BeautifulSoup
from docx import Document
from moviepy.editor import VideoFileClip
from openpyxl impo... | PawanKamath/resume-extractor | extractor.py | extractor.py | py | 16,520 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
... |
41758906816 | #!/usr/bin/env python3
""" Create yasnippets for Stan functions and distributions from stan_lang.json
Yasnippets for other parts of the language are created manually.
"""
import json
import os
import re
import shutil
import sys
import subprocess as sp
from os import path
FUNC_TEMPLATE = """# name: {funcname}
# key: ... | standardgalactic/stan-mode | stan-snippets/create_snippets.py | create_snippets.py | py | 4,010 | python | en | code | null | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "shutil.rmtree",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number":... |
31289004392 | from django.contrib.auth.decorators import login_required
from django.contrib.auth import login
from django.shortcuts import render, redirect
from rest_framework import status
from rest_framework.response import Response
from rest_framework.decorators import api_view, permission_classes, authentication_classes
from re... | vakudix/django_jwt_example | main/views.py | views.py | py | 5,068 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "main.forms.PostForm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "main.models.CustomUser.objects.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "main.models.CustomUser.objects",
"line_number": 22,
"usage_type": "attribute"
},... |
30044335932 | from PyQt5 import QtWidgets, QtGui
import os
import common
import globals_
from ui import GetIcon, HexSpinBox
# Sets up the Background Dialog
class BGDialog(QtWidgets.QDialog):
"""
Dialog which lets you choose among various from tabs
"""
def __init__(self):
"""
Creates and initializes... | NSMBW-Community/Reggie-Next | background.py | background.py | py | 12,488 | python | en | code | 39 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QDialog.__init__",
"line_number": 18,
"usage_type": "call"
},
{
"api_n... |
5884275863 | # %%
#!/usr/bin/env python3
"""
A first attempt to clean up image_analysis.py
Does not include preprocessing steps
"""
#Imports
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import cv2
import os
import time
import pickle
import tensorflow as tf
import keras
from sklearn.preprocessing import ... | davidazimmerman/TSI-ML | models/image_analysis2.py | image_analysis2.py | py | 11,242 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 31,
... |
43038389177 | import sys
from functools import lru_cache
sys.setrecursionlimit(10**6)
def main():
n = int(input())
k = int(input())
@lru_cache(maxsize=None)
def F(n, k):
if n == k == 0:
return 1
if n <= 0 or k < 0:
return 0
# 1以上n以下の整数で、
# 0でない数がkこあるものの個数
... | batamorphism/coding | Python/AtCoder/old/abc154_e_1223.py | abc154_e_1223.py | py | 722 | python | ja | code | 0 | github-code | 21 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "functools.lru_cache",
"line_number": 10,
"usage_type": "call"
}
] |
33106250035 | from PIL import Image
from django.conf import settings
import os
def save_thumbnail(file_path, file_name) -> str:
""" save a copy of a given image file and save it to thumbnails folder
returns the usable path to the thumbnail"""
thumbnail_folder = os.path.join(settings.MEDIA_ROOT, 'thumbnails')
# chec... | hamk-webdev-intip21a6/lainakoodarit_project | borrow/image_process.py | image_process.py | py | 932 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings.MEDIA_ROOT",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.co... |
10020659192 | from typing import Union
from loguru import logger
from aiogram import types
from aiogram.dispatcher import FSMContext, filters
from aiogram.utils.callback_data import CallbackData
from aiogram.dispatcher.filters.state import StatesGroup, State
from app.loader import dp, bot
from app.config import conf
# from typin... | av-jok/bot_articles | app/handlers/private/new_switch.py | new_switch.py | py | 5,800 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "aiogram.dispatcher.filters.state.StatesGroup",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "aiogram.dispatcher.filters.state.State",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "aiogram.dispatcher.filters.state.State",
"line_number": 1... |
24233957539 | from django.conf.urls.defaults import *
import django.views.static
from django.conf import settings
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
(r'^', include('yappa.products.urls')),
(r'^admin/', include(admin.site.urls)),
(r'^tinymce/', include('tinymce.urls')),
)
#... | minrivertea/yappa | urls.py | urls.py | py | 1,362 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 9,
"usage_type": "attribute"
},
{
... |
13276264054 | import requests
import psycopg2
from flask import Flask, request, make_response
import pandas as pd
import json
import boto3
app = Flask(__name__)
def main():
r = requests.get("https://elevateinterviews:ElevateSecurityInterviews2021@incident-api.use1stag.elevatesecurity.io/identities/")
employee_ids = r.json(... | mbodeantor/elevate_security | elevate_security.py | elevate_security.py | py | 2,569 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 5... |
24799239605 | """
課題で設定したe-mailの設定をチェックするプログラム
"""
from pathlib import Path
import codecs
import email
import time
import re
import pandas as pd
def read_mails():
"""
同階層にあるmailフォルダの中に入っているメールのファイルを読み込む
"""
path = Path.cwd() / "mail"
mails_path = list(path.iterdir())
mails = []
for m in mails_path:
... | kelvin27315/mail-debug | email_kadai.py | email_kadai.py | py | 3,342 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path.cwd",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "email.message_from_bytes",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.DataFra... |
71534551734 | import logging
import random
import re
import tqdm
logger = logging.getLogger(__name__)
def convert_string_to_unique_number(string: str) -> int:
"""
Hack to convert SNLI ID into a unique integer ID, for tensorizing.
"""
id_map = {'e': '0', 'c': '1', 'n': '2'}
# SNLI-specific hacks.
if string.startswith('vg_le... | beyondguo/TrainingDynamics | data_utils_glue.py | data_utils_glue.py | py | 2,200 | python | en | code | 31 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number":... |
41369295286 | import matplotlib.pyplot as plt
import numpy
from numpy import genfromtxt
EURUSDMIN = 1.00600
EURUSDMAX = 1.5
EURUSDVOLMIN = 0
EURUSDVOLMAX = 500
EURUSDMAXSIZE_1M = 0.0003
def calculateProfit(test_x, Result, testSet):
i, j = Result.shape
in_feature = 1
AccountBalance = 0
trans = 1
for li in range... | BadMojo123/Machine_learning | MT4 integration/ReadyToDeploy/Z_Mind.py | Z_Mind.py | py | 3,842 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
9992416967 | # pull out fasta entries that match target_ids from kallisto output file and make new multifasta
import argparse
import csv
parser = argparse.ArgumentParser(description='Make mfa from target_ids from kallisto output')
parser.add_argument('filename', help='kallisto abundance.tsv file')
args = parser.parse_args()
# get... | lorian/tools | MT_pipeline_functional.py | MT_pipeline_functional.py | py | 860 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 11,
"usage_type": "call"
}
] |
53044594 | import dnachisel
def FlipSeq(left, right, emma):
"""Calculate left and right overhangs for assembly section to be flipped
and return a modified pandas table of the EMMA standard.
Parameters
----------
left
str name of the leftmost (5') part of the assembly section that will be flipped.
... | Edinburgh-Genome-Foundry/Examples | SeqFlipper/seqflipper.py | seqflipper.py | py | 972 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "dnachisel.biotools.reverse_complement",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "dnachisel.biotools",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "dnachisel.biotools.reverse_complement",
"line_number": 24,
"usage_type": "c... |
1502672056 | from flask import Flask, render_template,request,redirect, send_file
from flask_sqlalchemy import SQLAlchemy
import os
from modules import main
from modules2 import main2, delete_tables
from modules3 import main3
app = Flask(__name__)
@app.route('/', methods=['GET', 'POST'])
def hello():
if request.method == 'PO... | vhdcpatel/Web-scraper | app.py | app.py | py | 1,603 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.request.form... |
74474249014 | import pygame
class ToggleSprite(pygame.sprite.Sprite):
def __init__(self, sprite_sheet, pos, letter, alien_pos, eng_pos):
super().__init__()
self.sprite_sheet = sprite_sheet
self.rect = pygame.Rect(pos[0], pos[1], 64, 64)
self.frames = self.load_frames(alien_pos, eng_pos)
... | Ouro130Ros/Zapocalypse | toggleSprite.py | toggleSprite.py | py | 1,271 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.sprite",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pygame.Rect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_numb... |
18749335278 | #!/usr/bin/env python3
# https://www.hackerrank.com/challenges/missing-numbers
import os
import unittest
from typing import List
def missing_numbers(arr: List[int], brr: List[int]) -> List[int]:
missing = set()
arr = sorted(arr)
brr = sorted(brr)
n = len(arr)
m = len(brr)
i = 0
for j in r... | altermarkive/training | algorithms/code/hackerrank/missing_numbers/missing_numbers.py | missing_numbers.py | py | 1,355 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
12815378282 | import requests
from bs4 import BeautifulSoup as BS
from bs4 import NavigableString
import os
import json
import tqdm
def IEEEdecode(obj):
out = IEEEJournal(obj['href'], obj['name'])
if 'impact' in obj:
out.score(obj['impact'],obj['eigen'],obj['influence'])
if 'info' in obj:
out.descriptio... | bozhiliu/journal_parser | ieee.py | ieee.py | py | 5,710 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.JSONEncoder",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"li... |
43843250530 | # -*- coding: utf-8 -*-
# @Time : 29/4/2020 10:07 AM
# @Author : Joseph Chen
# @Email : josephchenhk@gmail.com
# @FileName: __init__.py.py
# @Software: PyCharm
import os
import logging
# 第一步，创建一个logger
logger = logging.getLogger()
logger.setLevel(logging.DEBUG) # Log等级总开关
# 第二步，创建一个handler，用于写入日志文件
if "log" n... | josephchenhk/quantkits | quantkits/logger/__init__.py | __init__.py | py | 3,024 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_... |
40548616542 | import logging
from threading import Event, current_thread
from typing import Any, Dict, Sequence
import mock_dependency
from common.agent_events import ExploitationEvent
from common.event_queue import IAgentEventPublisher
from common.types import AgentID
from infection_monkey.exploit import IAgentBinaryRepository
fr... | guardicore/monkey | monkey/tests/data_for_tests/agent_plugin/mock_multiple_vendors/src/plugin.py | plugin.py | py | 2,142 | python | en | code | 6,367 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "common.types.AgentID",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "infection_monkey.exploit.IAgentBinaryRepository",
"line_number": 22,
"usage_type": "name"
},
{... |
13998031317 | from __future__ import absolute_import
from builtins import str
from nose.tools import *
import os
from .try_swig_load import *
from .acos_file import *
from nose.plugins.skip import Skip, SkipTest
import numpy as np
test_data = os.path.dirname(__file__) + "/../../unit_test_data/"
l2_full_test_data = os.path.dirname(_... | nasa/RtRetrievalFramework | lib/Python/acos_file_test.py | acos_file_test.py | py | 3,337 | python | en | code | 43 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
71570599094 | # coding: utf-8
# author: Brian R. Pauw, Glen J. Smales
# date: 2019.08.26
# Structurizes the files we get from the MAUS into a proper NeXus/NXsas file.
# based on the 3.8 version of the structurize notebook.
# V13 also stores a list of structurized files that can be uploaded to the database
# v3p16 works for newer f... | BAMresearch/scicat-upload | processingCode/source/structurize.py | structurize.py | py | 58,324 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 73,
"usage_type": "argument"
},
{
"api_name": "pathlib.Path",
"line_number": 77,
"usage_type": "argument"
},
{
"api_name": "h5py.File",... |
71961800373 | from collections import namedtuple
from datetime import datetime
import logging
import socket
import tornado
from tornado.concurrent import Future
import tornado.ioloop
import tornado.web
from tornado import gen
Event = namedtuple("Event", "raw line source nick user host code args")
class TwircUser(object):
de... | AxelPhi/Irc2Web | irc2web/__init__.py | __init__.py | py | 7,852 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "loggin... |
33256268731 | import traceback
import ClaimSLP
import aiosqlite as sql
from loguru import logger
import Common
from Common import client
MAIN_DB = "axieBot.db"
client.db = None
# Common
@logger.catch
async def createMainTables():
# logger.info("in createMainTables")
if client.db is None:
client.db = await sql.conn... | LampAndMaxAxie/LampAndMaxAxieBot | DB.py | DB.py | py | 24,231 | python | en | code | 26 | github-code | 21 | [
{
"api_name": "Common.client.db",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "Common.client",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "Common.client.db",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "Common.client... |
43956593595 | from __future__ import unicode_literals, print_function
import yaml
import json
def main():
ytest = 'test.yml'
jtest = 'test.json'
dictionary = {
'type':'cisco',
'device':'switch',
'use':'branches'
}
testlist = [
'hello',
123,
'world'
]
with o... | WaltRCodes/pynet_test | lesson1/exercise6.py | exercise6.py | py | 510 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "yaml.dump",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 21,
"usage_type": "call"
}
] |
34009603231 | from django.contrib.auth import get_user_model
from django.http import HttpResponse
from django.shortcuts import get_object_or_404
from djoser.views import UserViewSet
from rest_framework import status, viewsets
from rest_framework.decorators import action
from rest_framework.permissions import IsAuthenticated
from res... | rdg0/foodgram-project-react | backend/foodgram/api/views.py | views.py | py | 5,777 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "djoser.views.UserViewSet",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "api.paginations.LimitPageNumberPagination",
"line_number": 27,
"usage_type": ... |
28607351380 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 4 12:01:03 2020
@author: sammirc
"""
import numpy as np
import scipy as sp
import pandas as pd
import mne
from copy import deepcopy
import os
import os.path as op
import sys
from matplotlib import pyplot as plt
from scipy import ndimage
#stuff for... | schekroud/wmconfidence_eeg | analysis_scripts/py/tmp_arraylocked_analyse_orientationdecoding.py | tmp_arraylocked_analyse_orientationdecoding.py | py | 10,095 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sys.path.insert",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
1068465706 | from pyfiglet import Figlet
from termcolor import colored, COLORS
text = input("What message do you want to print? ")
color = input("What color? ")
if color not in COLORS.keys():
color = 'white'
# this is a really long comment that probably should be set over a couple
# of lines and cleaned up.
print(colored(Fig... | mikeblanton/pythonCourse | Modules/colors.py | colors.py | py | 352 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "termcolor.COLORS.keys",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "termcolor.COLORS",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "termcolor.colored",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyfiglet.Figle... |
71745058933 | # -*- coding: utf-8 -*-
import numpy as np
import pickle
import prophet
import pandas as pd
from scipy.stats import boxcox
from scipy.special import inv_boxcox
from flask import Flask, request, render_template
# Create application
app = Flask(__name__)
# Bind home function to URL
@app.route('/')
def... | deeksha200/Falsk-Rest-API | app.py | app.py | py | 4,076 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
40229410388 | from flask import Flask,render_template
import requests
def get_file_url(api_url, file_path):
try:
response = requests.post(api_url, json={'file': file_path})
if response.status_code == 200:
data = response.json()
file_url = data.get('file_url')
if file_url:
... | VIVF0/api_online_file_manager | Website/app.py | app.py | py | 948 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "requests.post",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.render_templa... |
38521112527 | from django.contrib.auth import get_user_model
import os
import shutil
from musicc.models.revisions.OpenDriveRevision import OpenDriveRevision
from musicc.models.revisions.OpenScenarioRevision import OpenScenarioRevision
from musicc.models.revisions.MusiccRevision import MusiccRevision
from django.conf import settings
... | theoutsider24/musicc | musicc/tests/utilities.py | utilities.py | py | 8,956 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "musicc.models.Profile.Profile.create",
"line_number": 26,
"usage_type": "call"
},
... |
42004253556 | import os
from distutils.core import setup
from setuptools import setup
import src
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name = "MellowAVR",
version = "0.0.1",
author = "Levan Gogohia",
author_email = "levangogohia@yandex.ru",
description = ... | MarcSky/MellowAVR | setup.py | setup.py | py | 518 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_n... |
71075326134 | import json
import random
from pathlib import Path
import numpy as np
import torch
dataset = "xsum"
metric = "entailment"
variant = "sent"
in_file = Path(f"{dataset}/{metric}/{metric}_{variant}.json")
max_num_sentences = 30
score_key = "precision" # or recall or f1
with in_file.open(mode="r", encoding="UTF-8") as fi... | bigabig/faithfulness | experiments/find_examples.py | find_examples.py | py | 1,934 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 2... |
31153433771 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
get_ipython().system('pip install git+https://github.com/SciTools/cartopy.git')
get_ipython().system('pip uninstall shapely -y')
get_ipython().system('pip install shapely --no-binary shapely --force')
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
from cart... | rondorice/WHOI-2021-Real | Micromonas_mapping.py | Micromonas_mapping.py | py | 3,424 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
3930644533 | import hashlib
import datetime
class Block():
def __init__(self, data):
self.index = 0
self.timestamp = self.calc_timestamp()
self.data = data
self.previous_hash = None
self.hash = self.calc_hash(data)
self.previous = None
def calc_timestamp(self):
... | garyukong/data-structures-and-algorithms | Project 2/Project Submission 2/problem_5.py | problem_5.py | py | 12,172 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "hashlib.sha256",
"line_number": 23,
"usage_type": "call"
}
] |
25500396172 | import logging
import os
import json
import azure.functions as func
from google.cloud import datastore
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = os.path.dirname(os.path.realpath(__file__)) + '/SC-credentials.json'
DS_KIND = 'FX'
DS_CLIENT = datastore.Client()
def main(req: func.HttpRequest) -> func.Htt... | Kazolah/mmk-fx-python-scrapper | fx-azure-test-space/fx-functions/gcp-cf-api/__init__.py | __init__.py | py | 2,941 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"lin... |
73322570934 | from __future__ import division, print_function
from visual import *
import visual as vs # for 3D panel
import wx, sys # for widgets
import threading
#from leapmouse import *
clr = vs.color
class Workspace:
def __init__(self):
win = window(width=1024, height=720, menus=False, title='SIMULATE VPYTHON GUI')#... | codeHeavy/vortex | workspace.py | workspace.py | py | 3,012 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "visual.color",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "visual.vector",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "wx.Button",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "wx.EVT_BUTTON",
"line_nu... |
2135704287 | #!/usr/bin/env python
# coding: utf-8
# In[22]:
#A minimum of 5 variables in your dataset used during your analysis
#Read data set
import pandas as pd
boston_orig = pd.read_csv('boston_house_prices.csv')
boston_orig.columns
# In[23]:
boston_orig.shape
# In[24]:
# select columns to keepplot o
#CRIM per cap... | LilPanda111/dsc530termproject | Boston Housing.py | Boston Housing.py | py | 3,643 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.isna",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "seaborn.barplot",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "seaborn.barplot",
"li... |
72872703092 | import pandas as pd
import numpy as np
from os.path import join
from scipy.stats import kurtosis
from obspy.core import read
from obspy.signal.filter import envelope
from obspy.signal.util import smooth
from obspy.signal.trigger import triggerOnset
syn_dir = '../synthetic_data'
syncat = join(syn_dir, 'syn_catalog.txt'... | hibertclement/eqdiscrim | SiHex_discrim/synthetics/syncat_io.py | syncat_io.py | py | 2,656 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_table",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "obspy.core.read",
"lin... |
22643548833 | from consolemenu import SelectionMenu
import model
import view
import reader
def handle_error(func):
def wrapper(tname):
try:
func(tname)
except Exception as e:
show_table_menu(tname, str(e))
return wrapper
def show_start_menu(tname=None, err=''):
tables = list(... | traumgedanken/obd | sem1/lab3/controller.py | controller.py | py | 2,404 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "model.TABLES.keys",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "model.TABLES",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "consolemenu.SelectionMenu",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "model.c... |
70309699254 | """Plot quantile MC standard error."""
import numpy as np
import xarray as xr
from ..data import convert_to_dataset
from ..labels import BaseLabeller
from ..sel_utils import xarray_var_iter
from ..stats import mcse
from ..rcparams import rcParams
from ..utils import _var_names, get_coords
from .plot_utils import defau... | arviz-devs/arviz | arviz/plots/mcseplot.py | mcseplot.py | py | 6,710 | python | en | code | 1,461 | github-code | 21 | [
{
"api_name": "labels.BaseLabeller",
"line_number": 137,
"usage_type": "call"
},
{
"api_name": "utils.get_coords",
"line_number": 139,
"usage_type": "call"
},
{
"api_name": "data.convert_to_dataset",
"line_number": 139,
"usage_type": "call"
},
{
"api_name": "utils... |
1307337793 | import logging
from ingest import ingest_drinks_api_full, ingest_transactions_csv, ingest_bar_csv
from load import load_drinks, load_glasses, load_transactions
from dataclasses import dataclass
from typing import Callable
import pandas as pd
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
logging.ba... | michaeljs-c/cocktails-etl | etl/pipeline.py | pipeline.py | py | 1,503 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "typing.Callable... |
9234409846 | #!/usr/bin/env python
import numpy as np
import gym
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.autograd as autograd
from torch.autograd import Variable
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
seed = 123
... | Villux/atari-tennis | policy-gradients/cartpole-v0/cartpole-pg.py | cartpole-pg.py | py | 4,232 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.nn.Mod... |
40960522709 | import discord
import os
import twitter
# Discord Client
client = discord.Client()
my_secret = os.environ['my_secret']
# Twitter Client
twitter_key = os.environ['twitter_key']
twitter_secret = os.environ['twitter_secret']
api = twitter.Api(
# consumer_key=[consumer key],
# consumer_secret=[consumer secret],
a... | itsjustaballoon/a_team_bot | main.py | main.py | py | 698 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "discord.Client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_n... |
18497575571 | from secrets import choice
import requests
import sys
import os
import time
URLS = {
'prod': 'https://a2a-apigee-prod-prod.apigee.net/mama/api/v1/anagrafiche/upload',
'preprod': 'https://a2a-apigee-noprod-preprod.apigee.net/mama/api/v1/anagrafiche/upload',
}
HEADERS = {
'preprod': {
'Connection': ... | Serenz/Ultimator6000 | sender.py | sender.py | py | 4,205 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "secrets.choice",
"line_number": 106,
"usage_type": "name"
},
{
"api_name": "secrets.choice",
"line_number": 107,
"usage_type": "name"
},
{
"api_name": "secrets.choice",
"line_number": 108,
"usage_type": "name"
},
{
"api_name": "secrets.choice",
... |
24243410195 | import bpy
from mathutils import Vector
from mathutils.bvhtree import BVHTree
import gpu
from gpu_extras.batch import batch_for_shader
import time
from bpy.app.handlers import persistent
draw_handler = None
def get_intersections(scene, ray_origin, ray_pickup, jet_vector, ray_vector, intersections):
context = bp... | TobyThomson/cascade | visualizer/cascade_visualizer.py | cascade_visualizer.py | py | 3,816 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "bpy.context",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "mathutils.Vector",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "mathutils.Vector",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mathutils.Vector",... |
34963848362 | from django.db import models
from user.models import User
from artwork.models import Artwork, ArtworkColor, ArtworkPrice
class Order(models.Model):
user = models.ForeignKey(User, on_delete=models.SET_NULL, null=True)
artwork = models.ForeignKey(Artwork, on_delete=models.SET_NULL, null=True)... | Davidlin2008/casetify_backend | order/models.py | models.py | py | 1,032 | python | en | code | 0 | github-code | 21 | [
{
"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": "user.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.model... |
27639589082 | from turtle import Screen
import net
import paddle
import ball
import scores
from time import sleep
LEFT = -300
RIGHT = 300
screen = Screen()
screen.setup(width=640, height=480)
screen.bgcolor("black")
screen.title("Pong")
screen.tracer(0)
bouncer = ball.Ball()
game_on = True
score = scores.Scores()
the_net = net.Net... | RamenJunkie/Python-Pong | main.py | main.py | py | 1,245 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "turtle.Screen",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ball.Ball",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scores.Scores",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "net.Net",
"line_number": 19... |
31264022361 | from flask import Flask,render_template,url_for,request, send_from_directory, redirect, flash
from werkzeug.utils import secure_filename
import detectron2
import numpy as np
import shutil
import os
import cv2
import random
from matplotlib import colors, pyplot as plt
import json
import pycocotools
import requests
from ... | AnnaShtangey/Fashion-Detection-DeepFashion2-Detectron2-Flask | app.py | app.py | py | 4,274 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_... |
71259947573 | import xlwt
import xlrd
f = xlwt.Workbook()
sheet = f.add_sheet('Python职位信息')
sheet.write(0, 0, "你好")
f.save('职位信息.xls')
dict1 = {'a': 1, 'b':2}
for key, val in enumerate(dict1):
print(key, val) | Bruceey/Spider_Learning | 01、数据存储/excel.py | excel.py | py | 221 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "xlwt.Workbook",
"line_number": 4,
"usage_type": "call"
}
] |
35124282650 | import scrapy
class WPSpider(scrapy.Spider):
name = "wp"
start_urls = ['http://wiadomosci.wp.pl/kat,140556,title,Marcin-Dubieniecki-Jaroslaw-Kaczynski-nie-interweniowal-w-mojej-sprawie,wid,18713063,wiadomosc.html']
def parse(self, response):
print("PARSE")
more_comments = response.xpath("//a[@class='opA... | wojtek-rybak/veniversum | veniversum/spiders/wp.py | wp.py | py | 1,068 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 25,
"usage_type": "call"
}
] |
11265470224 | import kivy
from kivy.app import App
kivy.require('2.0.0')
# Import for buttons
from kivy.uix.gridlayout import GridLayout
# For size of window
from kivy.config import Config
#Set size to resizeable
Config.set('graphics', 'resizable', 1)
#Making layout class
class CalcGridLayout(GridLayout):
#Function is cal... | warfalcon64/BasicCalculator | main.py | main.py | py | 789 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "kivy.require",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "kivy.config.Config.set",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "kivy.config.Config",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "kivy.uix.gridla... |
74807700532 | import os
import sys
import argparse
import threading
from signal import SIGINT
import time
import subprocess
from mininet.topo import Topo
from mininet.net import Mininet
from mininet.node import CPULimitedHost
from mininet.link import TCLink
from mininet.util import dumpNodeConnections
from mininet.log import set... | jdunn-git/Pub-Sub-Load-Balancing | assignment1/assignment_executor.py | assignment_executor.py | py | 8,716 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 138,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 147,
"usage_type": "call"
},
{
"api_name": "threading... |
32412458598 | #!/usr/bin/env python3
#
# Author:
# Tamas Jos (@skelsec)
#
import os
import logging
import asyncio
from minikerberos import logger
from minikerberos.common.url import KerberosClientURL, kerberos_url_help_epilog
from minikerberos.aioclient import AIOKerberosClient
from minikerberos.common.spn import KerberosSPN
impo... | ryanmrestivo/red-team | Exploitation-Tools/CrackMapExec/site-packages/minikerberos/examples/getS4U2proxy.py | getS4U2proxy.py | py | 2,447 | python | en | code | 91 | github-code | 21 | [
{
"api_name": "minikerberos.common.url.KerberosClientURL.from_url",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "minikerberos.common.url.KerberosClientURL",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "minikerberos.common.spn.KerberosSPN.from_target_stri... |
28442699345 | from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from bs4 import BeautifulSoup
import requests
import os
import pickle
import logging.config
from parsing import Parsing
from sql_commit import TableMaster
from settings import BASE_DIR, user_agent, logger_config
from environ ... | ikhairulin/parsing | src/joy_libs.py | joy_libs.py | py | 14,338 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "logging.config.config.dictConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "settings.logger_config",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "logging.config.config",
"line_number": 16,
"usage_type": "attribute"
},
{... |
74920433653 | import os
from subprocess import Popen, PIPE, TimeoutExpired, run, STDOUT
from django.conf import settings
from django.contrib.auth.models import User
from django.db import transaction
from django.http import JsonResponse
from django.http.response import HttpResponseRedirect
from django.shortcuts import redirect, rend... | mreguly/interactive-lab-to-learn-programming | course/views.py | views.py | py | 27,558 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "forms.CourseForm",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django.db.transaction.atomic",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "djang... |
1624970301 | import math
import mss
import cv2
import numpy as np
import os
tokens_rect = {"top": 480, "left": 700, "width": 550, "height": 100}
damage_rect = {"top": 725, "left": 810, "width": 100, "height": 45}
accuracy_rect = {"top": 725, "left": 960, "width": 130, "height": 45}
class ScreenReader:
def __init__(self, app... | Pentracchiano/for-the-king-oracle | src/main/python/screen_reader.py | screen_reader.py | py | 7,278 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "mss.mss",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 2... |
19992317113 | import typer
import json
import requests
import sys
import io
import logging
import questionary
from pathlib import Path
import os
import subprocess
from enum import Enum
from llama_index import set_global_service_context
from llama_index import ServiceContext
from memgpt.interface import CLIInterface as interface #... | winklerj/MemGPT | memgpt/cli/cli.py | cli.py | py | 22,991 | python | en | code | null | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "memgpt.config.MemGPTConfig.load",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "memgpt.config.MemGPTConfig",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "... |
14613861177 | # import cv2
import numpy as np
import time
import math
# import matplotlib.pyplot as plt
# import matplotlib
# matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import queue
import argparse
from matplotlib.patches import Rectangle
plt.ion()
height = 10.2
width = 10.2
def obstaclecheck_circle(x, y, r, c):
... | Pradeep-Gopal/A_star_Non_Holonomous_Robot | Code/a_star.py | a_star.py | py | 13,517 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "numpy.square",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.square",
... |
39920692534 | #!/usr/bin/env python
# # #
# TODO
# - add a map drawing functionality
# - reuse sky.CelestialObject instead of Asteroid
import math
from itertools import groupby
debug = False
class Asteroid(object):
@classmethod
def compute_declension(cls, obj, origin):
# print(f"DECL BETWEEN: {obj} and {origin}"... | nkrot/adventofcode-2019 | day.10/solution.py | solution.py | py | 9,164 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.gcd",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"line_number": 97,
"usage_type": "call"
}
] |
37943983607 | from fastapi import FastAPI
from fastapi.responses import PlainTextResponse
app = FastAPI()
@app.get("/ZKsschpmcYsFVBcSlwfScWSDkDuo{s}")
async def ZKsschpmcYsFVBcSlwfScWSDkDuo():
return ""
@app.get("/lTToMxeyvefRHAgnTCCYZAToHYcXQEjEdDZZpXsfefqWpgumhC{s}")
async def lTToMxeyvefRHAgnTCCYZAToHYcXQEjEdDZZpXsfefqWp... | abersheeran/asgi-benchmark | big-project/fastapi_example.py | fastapi_example.py | py | 97,853 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "fastapi.responses.PlainTextResponse",
"line_number": 5009,
"usage_type": "call"
}
] |
23172107020 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import argparse
def check_file_ext(filename):
"""
Check file extension
:param filename:
:return filename:
"""
if not filename.endswith('.csv'):
raise argparse.ArgumentTypeError('wrong fil... | Qespion/linear_regression | plot.py | plot.py | py | 842 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name":... |
10490188104 | """ team view """
# Create your views here.
from django.contrib.auth import get_user_model
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib.auth.models import AbstractUser
from django.http import HttpResponseRedirect
from django.shortcuts import get_object_or_404
from django.views.generic i... | maddogncux/Otus-Basic-Project | airsoft/airsoft_teams/views.py | views.py | py | 8,140 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 19,... |
31463733340 | import pygame
from pygame.sprite import Sprite
class Alien(Sprite):
"""Класс представляюший одного пришельца"""
def __init__(self, ai_game):
super().__init__()
self.screen = ai_game.screen
# Загрузка изображения пришельца и задает первоночальную позицию
self.image = pygame.ima... | Andriyshrub/alien_invasion | alien.py | alien.py | py | 776 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "pygame.sprite.Sprite",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pygame.image.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 12,
"usage_type": "attribute"
}
] |
34234309519 | from typing import List
import collections
# count number of distinct elements in contiguous subarrays
def countDistinctCategories(arr: List[int]):
if len(arr) == 1:
return 1
# dont use subarrays and save space complexity
start = 0
end = 0
count = 0
while end < len(arr):
if arr[... | rahul-nauni/playground | distinctSums.py | distinctSums.py | py | 492 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
30434735713 | '''
input: 1,9,10,3,2,3,11,0,99,30,40,50
output:
3500,9,10,70,
2,3,11,0,
99,
30,40,50
'''
from typing import Optional, List, Tuple
# n = 4
#
# with open('aoc2.txt', 'r') as f:
# raw_data = [item for item in f.readlines()]
#
# raw_data = raw_data[0].split(',')
# raw_data = [int(item) for item in raw_data]
#
#
# # ... | oren0e/aoc-2019 | aoc_2.py | aoc_2.py | py | 4,704 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 80,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 81,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 90,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_numbe... |
40505436664 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 17 14:56:08 2020
@author: aadityabhatia
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
dirName = '/Users/aadityabhatia/Projects/Coronavirus/'
df = pd.read_csv(dirName + 'country_weather_corona_cases.csv')
df.new_cases.... | Aaditya-Bhatia/Covid-19_AI_weather_prediction | Codes/models.py | models.py | py | 676 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
}
] |
70331416054 | from argparse import ArgumentParser
import json
import numpy as np
import pandas as pd
from pathlib import Path
from pycocotools import mask
from tqdm import tqdm
from eval_constants import LOCALIZATION_TASKS
from heatmap_to_segmentation import pkl_to_mask
def get_results(gt_dict, seg_path):
"""
For each pat... | rajpurkarlab/cheXlocalize | precision_recall_specificity.py | precision_recall_specificity.py | py | 3,563 | python | en | code | 17 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "eval_constants.LOCALIZATION_TASKS",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "tqdm.tqdm",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pycocotools... |
40897956000 | from flask import abort, render_template, flash, redirect, url_for, current_app
from flask_login import current_user, login_required
from flask_mail import Message, Mail
from . import home
from .forms import *
from app.models import *
@home.route('/')
def homepage():
settings = Settings.query.first()
return... | Projex-Redesign/Groupproject | app/home/views.py | views.py | py | 2,936 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_login.current_user.is_authenticated",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "flask_login.current_user",
"line_number": 19,
"usage_type": "name"
... |
20265906173 | from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Item',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False... | farisv/CJ2020-Final-CTF | web/toko-masker-4/MaskShop/shop/migrations/0001_initial.py | 0001_initial.py | py | 603 | python | en | code | 33 | github-code | 21 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 12,
"usage_type": "call"
},
... |
7802813454 | from django.contrib import admin
from django.urls import path, include
from . import views
urlpatterns = [
path('', views.store, name="store"),
path('cart/',views.cart, name="cart"),
path('checkout/', views.checkout, name="checkout"),
path('update_item/', views.updateItem, name="update_item"),
pat... | PerezChris99/Agri-Market-E-Commerce | store/urls.py | urls.py | py | 550 | python | en | code | 2 | github-code | 21 | [
{
"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.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
44181768200 | import random
from scipy.stats import multivariate_normal # MVN not univariate
import matplotlib.pyplot as plt # For general plotting
import pandas
import numpy as np
from sklearn.metrics import confusion_matrix
print("hello")
# Get All Wine Data
all_wine_data = pandas.read_csv('winequality-white.csv', sep=';')
pri... | davidantaki/ecece5644_machine_learning | hw1/q3-wine.py | q3-wine.py | py | 5,093 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_n... |
10761966696 | """Provide some utilities."""
import heapq
import logging
import sys
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cm
from hoqunm.data_tools.base import OUTPUT_DIR
MODEL_COLORS = [
c... | borescht/HoQuNM | hoqunm/utils/utils.py | utils.py | py | 7,580 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.cm.get_cmap",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.cm",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.cm.get_cmap",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotli... |
6271789282 | from r2a.ir2a import IR2A
from json import load, dump
from math import ceil
from player.parser import parse_mpd
class R2ASmallestPackage(IR2A):
def __init__(self, id):
IR2A.__init__(self, id)
self.videoRates = []
self.worstWait = 0
self.buffer = 0
self.blocked = False
... | wjld/pydash | r2a/r2asmallestpackage.py | r2asmallestpackage.py | py | 1,824 | python | en | code | null | github-code | 21 | [
{
"api_name": "r2a.ir2a.IR2A",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "r2a.ir2a.IR2A.__init__",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "r2a.ir2a.IR2A",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "player.parser.parse_m... |
73385288692 | from flask import Blueprint, session, request
from lib.utils import returns
from services.shopOrder import get_order, change_order_status
shopOrder = Blueprint('shopOrder', __name__)
@shopOrder.route('/get', methods=['get'])
def shop_order_get():
email = session['email']
if email is None:
return ret... | Aven9/YummyLand | routes/shopOrder.py | shopOrder.py | py | 1,532 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "lib.utils.returns",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "lib.utils.returns",
... |
29917142145 | import streamlit as st
st.title("Personnalisation des widgets")
# Personnaliser un widget bouton
button = st.button("Cliquez-moi")
# Utiliser du HTML pour personnaliser le bouton
button_html = """
<style>
.stButton>button {
background-color: green;
color: white;
border: 2px solid black;
... | DeVerMyst/DEVIA2023 | E_c_Streamlit-demo/4_wid_perso.py | 4_wid_perso.py | py | 477 | python | fr | code | 3 | github-code | 21 | [
{
"api_name": "streamlit.title",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "streamlit.button",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
... |
12476682986 | import torch
from torch import nn
from transformers import BertModel
class BERTClassifier(nn.Module):
def __init__(self, args):
super(BERTClassifier, self).__init__()
self.num_classes = args.num_classes
self.bert_model_name = args.model
self.bert = BertModel.from_pretraine... | movie112/IIPL_Code_Template | models/BERTClassifier.py | BERTClassifier.py | py | 955 | python | en | code | null | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "transformers.BertModel.from_pretrained",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tr... |
18404221819 | import itertools; import math; import operator; import random; import re; from bisect import *; from collections import deque, defaultdict, Counter, OrderedDict; from heapq import *; import unittest; from typing import List
def get_sol(): return Solution()
class Solution:
def getStrongest(self, arr: List[int], k: i... | afzalsiddique/problem-solving | Problem_Solving_Python/leetcode/lc1471.py | lc1471.py | py | 1,829 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 26,
"usage_type": "attribute"
}
] |
5208200851 | import argparse
import subprocess
import re
import json
import sys
def useage():
message = "NOTE: Running this requires you have a local clone of the repository and you are in that directory\n"
message += "Example: git clone https://github.com/org/repo && cd repo && python3 $HELPER_PATH/draft-release-notes.py ... | ericpassmore/helpers | git/draft-release-notes.py | draft-release-notes.py | py | 12,905 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "subprocess.run",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": ... |
9917374124 | import argparse
import os
sys.path.append("../../../utils_cv/action_recognition/")
from video_annotation_utils import video_format_conversion
def main(video_dir, output_dir):
for output_format in ["mp4", "avi"]:
output_sub_dir = os.path.join(output_dir, output_format)
if not os.path.exists(output... | microsoft/computervision-recipes | scenarios/action_recognition/video_annotation/video_conversion.py | video_conversion.py | py | 1,267 | python | en | code | 9,169 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
12699708374 | # -*- coding: utf-8 -*-
import numpy as np
import pickle
import pandas as pd
import streamlit as st
import os
os.chdir(r"C:\Users\User\Desktop\data science project\app\lungs app")
from PIL import Image
pickle_in = open("classifier.pkl","rb")
classifier=pickle.load(pickle_in)
def welcome():
return "W... | Kanha777/apps | lungs app/app.py | app.py | py | 1,273 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.chdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_n... |
11900194474 | from torch.utils.data import DataLoader as TorchDataLoader
from torch.utils.data import TensorDataset, RandomSampler, SequentialSampler
import common
class TorchDataService:
def PutDataIntoTorch(self, inputs, masks, tags, batchSize):
torchDataLoader = None
inputsTensor, masksTensor, tagsTensors = ... | carlCarlson6/NERwithBERT | Services/DataService/TorchDataService.py | TorchDataService.py | py | 809 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "common.utils.TensorUtils.InputsIntoTensor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "common.utils",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "common.utils.TensorUtils.TensorsToLongTensors",
"line_number": 10,
"usage_type"... |
7878835635 | from typing import Optional, BinaryIO
from rabin.crypto_configuration import PLAINTEXT_BLOCK_SIZE_BYTES, CIPHERTEXT_BLOCK_SIZE_BYTES
from rabin.cryptosystem.base import RabinCryptosystem
from rabin.cryptosystem.integer import IntegerRabinCryptosystem
from rabin.dto import RabinPublicKey, RabinCryptoKey
from rabin.padd... | LukasForst/rabin-crypto | rabin/cryptosystem/file.py | file.py | py | 3,993 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rabin.cryptosystem.base.RabinCryptosystem",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rabin.padding.padding_strategy.PaddingStrategy",
"line_number": 16,
"usage_type... |
70742125493 | #!/usr/bin/env python
# coding: utf-8
# In[109]:
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
# In[110]:
df_raw = pd.read_csv('data.csv', encoding= 'unicode_escape')
df_raw.head()
# In[111]:
df = df_raw[['job_title', 'age', 'salary', 'exp. period']]
df.head()
... | msyzdykova/ML-Python | Final Project.py | Final Project.py | py | 1,708 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.impute.SimpleImputer",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sklearn.i... |
31172013522 | import requests
import datetime as dt
api_key = "43c24ed228d4a9e99ad15ec124bef7ad"
app_id = "e341e1b8"
exersice_endpoint = "https://trackapi.nutritionix.com/v2/natural/exercise"
sheet_endpoint = "https://api.sheety.co/760a8d91b2f084d8b882a7c8883af212/tracking/workouts"
sheet_update = "https://api.sheety.co/760a8d91b2... | Jacousta/Grind_Python | Python1/py_projects/start-exercise-tracking/main.py | main.py | py | 1,396 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "requests.p... |
27845255635 | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 27 09:15:59 2020
@ NERIO QUISPE ANCCO
"""
import cv2 as cv
import matplotlib.pyplot as plt
import numpy as np
import csv
import os
import pandas as pd
carpeta='C:/Users/NERIO-QA/Documents/ReconocimientoPatrones/PROYECTO RECONOCIMEINTO VOCALES/VOCALES/imagenes'
... | nerioqa/Inteligencia-Artifi | SOLUCION_vocales.py | SOLUCION_vocales.py | py | 2,034 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,... |
31998500052 | import os, json
import numpy as np
import h5py
def load_coco_data(base_dir='cs231n/datasets/coco_captioning',
max_train=None,
pca_features=True):
data = {}
caption_file = os.path.join(base_dir, 'coco2014_captions.h5')
with h5py.File(caption_file, 'r') as f:
for k, v in ... | lightaime/cs231n | assignment3/cs231n/coco_utils.py | coco_utils.py | py | 2,650 | python | en | code | 1,338 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "h5py.File",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number"... |
33110591606 | # -*- coding: utf-8 -*-
"""Smartdict -- smart dictionary for formatting strings"""
from string import Formatter
from attrdict import AttrDict
__notfound__ = object()
class SmartDict:
"""Smart dictionary object"""
def __init__(self, namespace: object, valuedict: dict = None, default=__notfound__):
"... | ThreatConnect-Inc/threatconnect-playbooks | apps/TCPB_-_Expressions/src/smartdict.py | smartdict.py | py | 2,260 | python | en | code | 66 | github-code | 21 | [
{
"api_name": "attrdict.AttrDict",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "string.Formatter",
"line_number": 74,
"usage_type": "call"
}
] |
16143631983 | import requests
import pandas as pd
import time
from tqdm import tqdm
API_KEY = None
def chain_condenser(data):
l_records = []
for expiration in data["putExpDateMap"].keys():
for strike in data["putExpDateMap"][expiration]:
keys = [
"putCall","symbol","e... | ltanedo/woo-put-selling-strategy | sp500/options.py | options.py | py | 2,296 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "pandas.read_html",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number... |
27706260556 | # -*- coding: utf-8 -*-
from collective.contact.plonegroup.utils import get_organizations
from collective.eeafaceted.batchactions.interfaces import IBatchActionsMarker
from copy import deepcopy
from eea.facetednavigation.criteria.interfaces import ICriteria
from imio.helpers.catalog import addOrUpdateColumns
from imio... | IMIO/Products.PloneMeeting | src/Products/PloneMeeting/migrations/migrate_to_4200.py | migrate_to_4200.py | py | 59,488 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "Products.contentmigration.basemigrator.migrator.CMFFolderMigrator",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "imio.helpers.content.richtextval",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "imio.helpers.content.richtextval",
"line_n... |
4582517619 | """create owners table
Revision ID: 3ddeb90ce292
Revises:
Create Date: 2020-12-11 08:33:35.981220
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '3ddeb90ce292'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands aut... | Archive-42/nov-static | 08-my-website/06-module-6/week-18/unsorted/Week18D4/week18D4-Flask-Migrate/migrations/versions/3ddeb90ce292_create_owners_table.py | 3ddeb90ce292_create_owners_table.py | py | 864 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
70619772214 | import pandas as pd
from sklearn import model_selection
if __name__ == "__main__":
df = pd.read_csv("../data/IMDB_Dataset.csv")
df.sentiment = df.sentiment.map({"positive": 1, "negative": 0})
df["kfold"] = -1
y = df.sentiment.values
df = df.sample(frac=1).reset_index(drop=True)
kf = model... | LakshyaMalhotra/toy-projects-nlp | imdb-sentiment-analysis/src/create_folds.py | create_folds.py | py | 595 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.StratifiedKFold",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection",
"line_number": 12,
"usage_type": "name"
}
] |
17308423505 | import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
sess = tf.InteractiveSession()
image = np.array([[[[1], [2], [3]],
[[4], [5], [6]],
[[7], [8], [9]]]], dtype=np.float32)
# print("image:\n", image)
print('image.shape {}'.format(image.shape))
... | ChengBinJin/Tensorflow-SungKim | src/ML_lab_11_01.py | ML_lab_11_01.py | py | 1,170 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "tensorflow.InteractiveSession",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.... |
32306036992 | from socket import *
from codecs import *
import pygame
import time
import serial
import threading
horn = serial.Serial('/dev/ttyACM0', 115200, timeout=.1) # COM4 for windows, /dev/ttyAMC0
#we can clear the que with pygame.event.clear()
#pygame.event.wait() stops the program until an event becomes available
#all o... | normanadvanced/Underwater-ROV-Project | Computer/baseServer.py | baseServer.py | py | 5,939 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "serial.Serial",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pygame.joystick.Joystick",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pygame.joystick",
... |
35319939806 | """Chord URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based v... | mubasher117/chords | Chord/urls.py | urls.py | py | 1,903 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "chords.views.index",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "chords.views",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "django.urls.pat... |
40721502761 | from flask import Blueprint, render_template, request
from app.physical_properties.conversions import evaluate_scrhs
from app.physical_properties.staticbhp import StaticBHP
from app.physical_properties.pseudoreduced_properties import pseudo_reduced_temp, pseudo_reduced_wellhead_pressure
from app.physical_properties.pse... | betiniakarandut/portfolio-project | static_bhp/app/views.py | views.py | py | 2,485 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.form.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.req... |
5663042287 | import discord
import borgor
import requests
from discord.ext import commands
from borgor import akatsukiapi
from typing import Optional
import config
from datetime import datetime as dt
import time
from utils.const import GRADES
class Osu(commands.Cog):
def __init__(self, bot):
self.bot = bot
@comma... | atl128/Kali | cogs/osu.py | osu.py | py | 3,507 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "confi... |
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