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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
41559924516 | #!/usr/bin/python
#################
# Imports
import os
import time
import datetime
import time
from datetime import datetime as dt
from time import strftime
import pDBIconnect
import decimal
import pandas as pd
def nowTime():
nowstrt = datetime.datetime.now().strftime("%d-%m-%Y %H:%M:%S")
return nowstrt
pd.s... | grizli-beep/resume | Monitoring scripts/check_PositionsAttributes.py | check_PositionsAttributes.py | py | 1,552 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pandas.set_option",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pDBIco... |
33761466474 | from io import StringIO
from copy import deepcopy
class Singleton(type):
_instances = {}
def __call__(cls, *args, **kwargs):
if not args and not kwargs: # empty call
if cls not in cls._instances:
cls._instances[cls] = super(Singleton, cls).__call__(*args, **kwargs)
... | taucompling/morphophonology_spe | source/configuration.py | configuration.py | py | 2,880 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "copy.deepcopy",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_number": 69,
"usage_type": "call"
}
] |
26206633753 | from tempfile import TemporaryDirectory
import popxl
import numpy as np
from popxl_addons.layers import Linear
from popxl_addons.module import Module
from popxl_addons.task_session import TaskSession
import os
import glob
class MockModel(Module):
def __init__(self):
super().__init__()
self.l1 = Li... | graphcore/popxl-addons | tests/integration/test_task_session.py | test_task_session.py | py | 2,609 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "popxl_addons.module.Module",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "popxl_addons.layers.Linear",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "popxl_addons.layers.Linear",
"line_number": 15,
"usage_type": "call"
},
{
"... |
42603986144 | from django.shortcuts import render
from portfolio.models import MyApp
# Create your views here.
def home(request):
# name = "John"
all_apps = MyApp.objects.all()
context = {
'my_apps': all_apps
}
return render(request, 'website/index.html', context)
| SergeiVorobev/MyPortfolio | portfolio/views.py | views.py | py | 281 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "portfolio.models.MyApp.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "portfolio.models.MyApp.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "portfolio.models.MyApp",
"line_number": 8,
"usage_type": "name"
},... |
40454861663 | import os
from datetime import datetime
from typing import Any, Dict, List, Tuple, Union
from uuid import uuid4
import sqlalchemy as sa
from sqlalchemy.orm import Session, aliased
from sqlalchemy.sql import label
from umeta import config, core, generators, models, sources
def get_buckets(db: Session, s: config.Sour... | subdavis/umeta | umeta/crud.py | crud.py | py | 10,616 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "umeta.config.Source",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "umeta.config",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "umeta.mo... |
9194086611 | import pygame
import numpy as np
from astar_point_rigid import *
import time
def triangleCoordinates(start, end, triangleSize = 5):
rotation = (math.atan2(start[1] - end[1], end[0] - start[0])) + math.pi/2
# print(math.atan2(start[1] - end[1], end[0] - start[0]))
rad = math.pi/180
coordinateList... | mesneym/Astar-Path-Planning | main.py | main.py | py | 6,588 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 59... |
1074569179 | import os
import shutil
import sys
import datetime
import json
dateconvert = {
1: "Jan",
2: "Feb",
3: "Marc",
4: "Apr",
5: "Maj",
6: "Jun",
7: "Jul",
8: "Aug",
9: "Szept",
10: "Okt",
11: "Nov",
12: "Dec"
}
def prepare():
root = ""
if l... | Je-RICO-h/Python-picsorter | Picsorter/main.py | main.py | py | 3,237 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.argv",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
33880837913 |
from collections import defaultdict
def solve(program):
painted_hull = {}
x, y = 0, 0
dx, dy = 0, 1
painting = True
def input_func():
print(f"get_color({x}, {y}) : {get_color(x, y)}")
return get_color(x, y)
def output_func(value):
nonlocal x, y, dx, dy, painting
... | bdaene/advent-of-code | 2019/day11/part 1.py | part 1.py | py | 5,225 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "collections.defaultdict",
"line_number": 94,
"usage_type": "call"
}
] |
31658308898 | import sklearn.svm
import ProtModel
import numpy as np
import sys
class SVM(ProtModel.Model): #classe per modello SVM, estende classe astratta modello generico e utilizza la classe SVC di SkLearn
def __init__(self, C, G):
self.C=C
self.G=G
def train(self,datat): #train the model gi... | Rambaldelli/SVM-GOR-Secondary-Structure-Prediction-Comparison | MySVM.py | MySVM.py | py | 2,653 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "ProtModel.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sklearn.svm.svm.SVC",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.svm",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "sklearn.... |
72781393635 |
"""
This program lists all the active courses as well
as courses with an assignment group containing "Ungraded"
This is useful for configuring the Redis db (See README.md)
"""
import os
import dotenv
from canvasapi import Canvas
dotenv.load_dotenv()
canvas_url = 'https://moravian.instructure.com/'
canvas_token = ... | bjcoleman/trello-todo-canvas | list_ids.py | list_ids.py | py | 819 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "canvasapi.Canvas",
"line_number": 19,
"usage_type": "call"
}
] |
2769032283 | from sklearn.svm import SVC
import pandas as pd
from sklearn.metrics import accuracy_score
import pickle
train = pd.read_csv("./mnist/train.csv")
valid = pd.read_csv("./mnist/t10k.csv")
train_label = train.iloc[:, 0] #모든행에 1번쨰 열
train_data = train.iloc[:, 1:] #모든 행에 2번째 ㅇ열부터 끝까지
valid_label = train.iloc[:... | Aki-hwang/Python_lvl_1 | 66_손글씨_숫자_학습.py | 66_손글씨_숫자_학습.py | py | 738 | python | ko | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.SVC",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.accurac... |
38906726308 | from typing import Optional
from .AircraftData import AircraftData
from src.pyLiveKML.KML.GeoCoordinates import GeoCoordinates
from src.pyLiveKML.KML.KML import AltitudeMode
from src.pyLiveKML.KML.KMLObjects.IconStyle import IconStyle
from src.pyLiveKML.KML.KMLObjects.Placemark import Placemark
from src.pyLiveKML.KML.... | smoke-you/pyLiveKML | evals/apps/aircraft_trail/AircraftPosition.py | AircraftPosition.py | py | 1,270 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "src.pyLiveKML.KML.KMLObjects.Placemark.Placemark",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "src.pyLiveKML.KML.GeoCoordinates.GeoCoordinates",
"line_number": 18,
"us... |
70319724513 | # -*- coding: utf-8 -*-
from five import grok
from jowent.bannerviewlet import MessageFactory as _
from jowent.bannerviewlet.behaviors.bannerimage import IBannerImage
from jowent.bannerviewlet.interfaces import IBannerViewletSettings
from plone.namedfile.interfaces import INamedBlobImageField
from plone.registry.interf... | jowent/jowent.bannerviewlet | jowent/bannerviewlet/validators.py | validators.py | py | 2,198 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "z3c.form.validator.FileUploadValidator",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "z3c.form.validator",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "zope.component.getUtility",
"line_number": 22,
"usage_type": "call"
},
... |
71155389793 | import os
import csv
import copy
import textwrap
import string
import gzip
import shutil
import textwrap
import itertools
import math
# Relevant
import pandas
import sklearn
import scipy
import numpy
import statsmodels.api
# Custom
#dir()
#importlib.reload()
########################################################... | tcameronwaller/partner | package/utility.py | utility.py | py | 148,385 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "string.ascii_letters",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "os.path.isdir... |
74258977312 | import sys, os, time, traceback
import ctypes
from optparse import OptionParser
import pygame.midi
import winreg
# Constants
# Axis mapping
axis = {'X': 0x30, 'Y': 0x31, 'Z': 0x32, 'RX': 0x33, 'RY': 0x34, 'RZ': 0x35,
'SL0': 0x36, 'SL1': 0x37, 'WHL': 0x38, 'POV': 0x39}
# Slider or Pitchbend keys(m_types)
sliders = ... | c0redumb/midi2vjoy | midi2vjoy/midi2vjoy.py | midi2vjoy.py | py | 4,958 | python | en | code | 73 | github-code | 1 | [
{
"api_name": "pygame.midi.midi.get_count",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pygame.midi.midi",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pygame.midi",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "pygame.m... |
34139026795 | import torch
import onnx
from torchvision import models
from torch import nn
import onnxruntime
import numpy as np
import onnxsim
class NaiveModel(torch.nn.Module):
def __init__(self):
super().__init__()
self.net = models.mobilenet_v2(pretrained=True)
self.out2 = nn.Linear(1000,2)
def f... | qiaofengsheng/ai_deploy | TensorRT/python/export_onnx.py | export_onnx.py | py | 3,222 | python | en | code | 16 | github-code | 1 | [
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models.mobilenet_v2",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch... |
17217415192 |
from random import random, randint, choice
import numpy
from ..ops import multiType
from p4p.wrapper import Value
def rand_str():
N = randint(0, 10) # inclusive
return ''.join([choice('abcdefghijklmnopqrstufwxyz') for n in range(N)])
def rand_int():
return randint(-10, 10)
def rand_flt():
return r... | epics-base/masarService | python/minimasar/gather/sim.py | sim.py | py | 2,591 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "random.randint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.random",
"line... |
71039294435 | import json, os
coder = "utf8"
numlist = {
"一" : 1,
"二" : 2,
"三" : 3,
"四" : 4,
"五" : 5,
"六" : 6,
"七" : 7,
"八" : 8,
"九" : 9,
"十" : 10
}
class StringTool :
def bins(BinsStrings : str) :
re = []
for i in BinsStrings :
i = b... | Donseking/dsksystem | pymodle/dskmod.py | dskmod.py | py | 6,240 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 105,
... |
24859917703 | from starlette.datastructures import FormData
from starlette.requests import Request
from fcg.viewmodels import parse
from fcg.viewmodels.base_viewmodel import BaseViewModel
class FormBaseViewModel(BaseViewModel):
def __init__(self, request: Request):
super().__init__(request)
self.proposal_code ... | saltastroops/finder-chart-generator | fcg/viewmodels/form_base_viewmodel.py | form_base_viewmodel.py | py | 772 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "fcg.viewmodels.base_viewmodel.BaseViewModel",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "starlette.requests.Request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "starlette.datastructures.FormData",
"line_number": 15,
"usage_type":... |
9789033915 | from mongo import engine
from mongo.course import *
from datetime import datetime
from .user import *
from .utils import *
__all__ = ['Post']
class Post():
@classmethod
def found_thread(cls, target_thread):
reply_thread = []
if target_thread.reply:
for reply in target_thread.repl... | Normal-OJ/Back-End | mongo/post.py | post.py | py | 4,387 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "mongo.engine.PostThread",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "mongo... |
10436178052 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Use text editor to edit the script and type in valid Instagram username/password
from InstagramAPI import InstagramAPI
import json
api = InstagramAPI("instamike59.officiel", "091h1scd")
if (api.login()):
api.getSelfUserFeed() # get self user feed
data = api.LastJs... | michaeldupont/my_instagram_bot | insta.py | insta.py | py | 516 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "InstagramAPI.InstagramAPI",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 17,
"usage_type": "call"
}
] |
26237514951 | from uuid import uuid4
import pytest
from synthetic.conf import EngagementConfig, PopulationConfig, ProfileConfig, global_conf
from synthetic.event.constants import EventType
from synthetic.utils.current_time_utils import get_current_time
from synthetic.database.schemas import SyntheticUserSchema
from synthetic.user.... | benshi-ai/open-synthetic-data-generator | tests/test_synthetic_user/test_db.py | test_db.py | py | 1,953 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "synthetic.conf.global_conf.population",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "synthetic.conf.global_conf",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "synthetic.conf.PopulationConfig",
"line_number": 15,
"usage_type": ... |
25142555924 | #1
import pygame
from pygame.locals import *
#2
pygame.init()
width, height = 640, 480
screen = pygame.display.set_mode((width, height))
keys = [False, False, False, False]
playerpos = [100,100]
acc = [0,0]
boomerangs = []
#3
player = pygame.image.load("dude.png")
player = pygame.transform.scale(player, (1... | thomakj/tools | hobby/games/Hello Bunny/game.py | game.py | py | 1,362 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.loa... |
9492227464 | import os
import cv2
import numpy as np
from PyQt5 import QtCore, QtGui, QtWidgets # uic
from PyQt5.QtWidgets import (QApplication, QMainWindow, QPushButton, QWidget,
QLabel, QVBoxLayout) # +++
from ui import Ui_Form # +++
... | selim1763/python_record_video | record_video.py | record_video.py | py | 3,051 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "ui.Ui_Form",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.... |
70755614754 | import unittest2
import os
import top
class TestStopParser(unittest2.TestCase):
@classmethod
def setUpClass(cls):
cls._sp = top.StopParser()
test_dir = os.path.join('top', 'tests', 'files')
test_file = 'TCD_Deliveries_20140207111019.DAT'
cls._test_file = os.path.join(test_dir... | loum/top | top/tests/test_stopparser.py | test_stopparser.py | py | 3,059 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "unittest2.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "top.StopParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
9509034408 | from flask import request, make_response, jsonify
import hashlib
from bson import json_util
from bson.objectid import ObjectId
import os
from werkzeug.utils import secure_filename
import base64
from utils.config import app, userCollection, postCollection,imgCounterCollection
from utils.response import make_response, ... | DoniyorI/FILO | utils/post.py | post.py | py | 3,159 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.request.cookies.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.cookies",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "ut... |
23655343690 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# History analizer
#
# This is the main file for this module, where the test cases should be
# developed and where the functions called by the API must be located.
# It depends on several other files, mainly:
#
# fetcher.py - Uses the browser_history library to actual... | Shit-bucket/Morpheos | backend/modules/history/__init__.py | __init__.py | py | 1,031 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "modules.history.fetcher.fetch_all",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "modules.history.summarize.summarize_by_domain",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "modules.history.statistics.most_repeated",
"line_number": 28,... |
41403616679 | #========================================================
# SiteDescription.py
#========================================================
# PublicPermissions: True
#========================================================
# SiteDescription class to parse standard format XML
# file and create a matching Python representa... | jodysankey/pythonpath | src/sitemgt/sitedescription.py | sitedescription.py | py | 5,890 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "xml.etree.ElementTree.etree.ElementTree.parse",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.etree",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 54,
"usage_type": "... |
3168618507 | from collections import OrderedDict
from typing import Tuple, Union
from fvcore.common.registry import Registry
import copy
import json
import threading
import numpy as np
import torch
import torch.nn.functional as F
import torch.distributed as dist
from torch import nn
from collections import defaultdict
from clip i... | zhaoyanpeng/vipant | cvap/module/decoder/loss_head.py | loss_head.py | py | 25,849 | python | en | code | 19 | github-code | 1 | [
{
"api_name": "fvcore.common.registry.Registry",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "collect... |
35235621538 | from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib.auth import authenticate, login, logout
from django.shortcuts import render, get_object_or_404, redirect
from django.views.generic import FormView, View, ListView
from django.views.generic.base import TemplateView, TemplateResponseMixin
from ... | NeelRoshania/MarPersonnel | home/views.py | views.py | py | 16,642 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.views.generic.View",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "forms.LoginForm",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "dja... |
26674788073 | """
Place to keep data persistence between requests
"""
import os
import json
BASE_DIR = os.path.dirname(os.path.realpath(__file__))
class Datastore:
STORAGE = os.path.join(BASE_DIR, 'storage.txt')
def load(self):
try:
handle = open(self.STORAGE, 'r')
except IOError:
r... | albertyw/indoor-localization | server/datastore.py | datastore.py | py | 545 | python | en | code | 24 | github-code | 1 | [
{
"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",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
21369768960 | import argparse
import sys
from ft_config import load_config
# check python version >= 3.6
assert sys.version_info >= (3, 6)
# read config.json
config = load_config()
# parse arguments
parser = argparse.ArgumentParser()
parser.add_argument('--action',
required=True,
help="... | mikkorautiainen/fasttext-decrapifier | decrapper.py | decrapper.py | py | 2,218 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "sys.version_info",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "ft_config.load_config",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ft... |
6034089894 | from typing import List
"""
Summary: Single pass, comparing current interval with the previous one. If
overlap - increment the counter. Depending on the overlap type (case 2 vs 3),
the prev interval is either updated or not.
Possible cases:
1. Don't overlap
-----
------
2. Overlap 1
-----
-... | EvgeniiTitov/coding-practice | coding_practice/sample_problems/leet_code/medium/435_non_overlapping_intervals.py | 435_non_overlapping_intervals.py | py | 2,012 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 54,
"usage_type": "name"
}
] |
38164794895 | from django.conf.urls import patterns, url
from notes import views
urlpatterns = patterns('',
url(r'^$', views.all_notes, name='all_notes'),
url(r'^resolved', views.resolved_notes, name='resolved_notes'),
url(r'^(?P<note_id>\d+)/$', views.note_detail, name='note_detail'),
url(r'^(?P<note_id>\d+)/edit/... | nicmatts/3DP | threedp/notes/urls.py | urls.py | py | 629 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "notes.views.all_notes",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name":... |
31979524390 | from django.views import View
from django.http import JsonResponse, HttpResponseForbidden
from django.shortcuts import get_object_or_404
from django.utils.decorators import method_decorator
from django.views.decorators.csrf import csrf_exempt
import json
from api.settings import ALLOWED_TOKENS
from . import models
from... | arklual/api | marks/views.py | views.py | py | 1,640 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.views.View",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "accounts.models.Account",
"line_number": 17,
"usage_type": "argument"
},
{
"... |
42281958081 | """A wonderful, simple database app
by Georgina Paál"""
import common
import query
from flask import Flask, render_template
app = Flask(__name__)
@app.route('/', methods=['GET', 'POST'])
def main_page():
""" Lists all functions on the main page"""
return render_template('main_page.html')
@app.route('/men... | ginapaal/basic_sql_si_week | main.py | main.py | py | 2,165 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "common.make_connection",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "query.mentors... |
7080163471 | from airflow import DAG
from databox import Client
from google.cloud import storage
from gcsfs import GCSFileSystem
import pandas as pd
import logging as log
import pendulum
import requests
from airflow.operators.python import PythonOperator
from airflow.operators.dummy import DummyOperator
from airflow.models import V... | adriennejohnson719/CS_280_Data_Workflow_Project | ETL.py | ETL.py | py | 9,938 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "airflow.models.Variable.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "airflow.models.Variable",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "airflow.models.TaskInstance",
"line_number": 21,
"usage_type": "name"
},
{
"a... |
42176940574 | """
Question:
Given a binary tree, write a function to get the maximum width of the given tree.
Width of a tree is maximum of widths of all levels.
For example:
__1__
/ \
2 3
/ \ \
4 5 8
/ \
6 7
For the above tree,
width of level 1 is 1.
width of level 2 is 2.
... | viniciuschiele/solvedit | btree/find_max_width.py | find_max_width.py | py | 1,278 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "binarytree.Node",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "binarytree.Node",... |
23253320504 | from uuid import uuid4
from sqlalchemy.orm import Session
from models.model import Student, Course
from schemas.student import CreateStudent
from bcrypt import hashpw, gensalt
def get_students(session: Session):
query = session.query(Student).all()
return query
def get_student_by_id(_id: str, session: Sessi... | samvalvi/school-admin-api | repository/student.py | student.py | py | 1,805 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.model.Student",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "... |
29457232613 | import json
import os
from botocore.vendored import requests
# PCE API request call using requests module
def pce_request(pce, org_id, key, secret, verb, path, params=None,
data=None, json=None, extra_headers=None):
base_url = os.path.join(pce, 'orgs', org_id)
print(base_url)
headers = {
... | illumiolabs/illumio-security-hub-connector | security-hub-quarantine-action/src/lambda_function.py | lambda_function.py | py | 4,164 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,... |
875275062 | import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
from matplotlib import ticker
PATH = "statistics/results"
df = pd.read_csv(PATH+'.csv', index_col=0).round(2)
timings = [10**i for i in range(2, 6)]
fig, ax =plt.subplots(figsize=(4,3))
ax.axis('tight')
ax.axis('... | matrs01/Advanced_Cpp_course_4_sem | homework_3/vector_with_sort_vs_set/plot_maker_hw_3.py | plot_maker_hw_3.py | py | 996 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotli... |
70018798433 | import math
from random import random
import pytest
import numpy as np
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from starter.ml import model
@pytest.fixture
def dummy_data():
data_df = pd.DataFrame({
"id": list(range(100)),
"numerical_feat": [random()*10... | ympaik87/heroku_fastapi_deployment | starter/starter/test_model.py | test_model.py | py | 1,460 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.DataFrame",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "starter.ml.model.t... |
12762645895 | import math
import pygame
from debug import debug
from svg.path import parse_path
from settings import TILE_SIZE
from supports import import_folder
from audio import audio_manager
class Player(pygame.sprite.Sprite):
def __init__(self, pos, groups, obstacle_sprites, camera) -> None:
super().__init__(group... | Instelce/FastRoute | player.py | player.py | py | 9,344 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.sprite",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surface",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "settings.TILE_SIZE",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pygame.math.Vect... |
73471784993 | # F06 - Mengubah stok game
def update_stok(role,hasil):
if role == 'Admin':
id_game = input('Masukkan ID game: ')
jumlah = int(input('Masukkan jumlah: '))
for line in hasil:
if id_game == line[0]:
if (line[5] + jumlah) >= 0:
... | IvanLeovandi/Tugas-Besar-IF1210-Dasar-Pemrograman-2021-2022 | Source Code/fungsi tubes.py | fungsi tubes.py | py | 3,311 | python | id | code | 3 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 27,
"usage_type": "attribute"
}
] |
25459941035 | import logging
import subprocess
from telemetry.core import exceptions
from telemetry.internal.platform import android_platform_backend as \
android_platform_backend_module
from telemetry.core import util
from telemetry.internal.backends import android_command_line_backend
from telemetry.internal.backends import bro... | hanpfei/chromium-net | third_party/catapult/telemetry/telemetry/internal/backends/chrome/android_browser_backend.py | android_browser_backend.py | py | 8,590 | python | en | code | 289 | github-code | 1 | [
{
"api_name": "telemetry.internal.backends.chrome.chrome_browser_backend.ChromeBrowserBackend",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "telemetry.internal.backends.chrome.chrome_browser_backend",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "tel... |
2408123049 | import numpy as np
import pytest
from numpy import testing as np_testing
import pymanopt
from . import _backend_tests
class TestNumPyBackend:
@pytest.fixture(autouse=True)
def setup(self):
self.n = 10
@pymanopt.function.numpy(
_backend_tests.manifold_factory(point_layout=3)
... | pymanopt/pymanopt | tests/backends/test_numpy.py | test_numpy.py | py | 1,347 | python | en | code | 651 | github-code | 1 | [
{
"api_name": "numpy.sum",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pymanopt.function.numpy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pymanopt.function",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.sum",
... |
6584305006 | import copy # To duplicate materials.
from PyQt6.QtCore import pyqtSignal, pyqtSlot, QObject, QUrl
from PyQt6.QtGui import QDesktopServices
from typing import Any, Dict, Optional, TYPE_CHECKING
import uuid # To generate new GUIDs for new materials.
from UM.Message import Message
from UM.i18n import i18nCatalog
from ... | Ultimaker/Cura | cura/Machines/Models/MaterialManagementModel.py | MaterialManagementModel.py | py | 14,258 | python | en | code | 5,387 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "UM.i18n.i18nCatalog",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PyQt6.QtCore.QObject",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "PyQt6.Q... |
74538549792 | import json
import os
import pathlib
from tempfile import TemporaryDirectory
from typing import Any, Dict
from jsonschema import ValidationError
from pep440 import is_canonical
from nbformat import __version__ as nbf_version
from nbformat import current_nbformat, read, write, writes
from nbformat.reader import get_ve... | jupyter/nbformat | tests/test_api.py | test_api.py | py | 3,517 | python | en | code | 226 | github-code | 1 | [
{
"api_name": "pep440.is_canonical",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nbformat.__version__",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "base.TestsBase",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "nbformat.... |
74719824672 | from django.shortcuts import render,redirect
from .forms import *
from .models import *
from django.contrib.auth.decorators import login_required
def gestionarPersonas(request):
if request.method == 'POST':
persona_form = PersonaForm(request.POST)
if persona_form.is_valid():
persona_for... | EvelinSenghaas/Contratos | project/personas/views.py | views.py | py | 2,726 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 31,
"usage_type": "call"
},
{
"api_nam... |
39960784073 | import argparse
import pandas as pd
import os
import subprocess
parser = argparse.ArgumentParser()
parser.add_argument('-csv_path', '--csv_path', default='download_list.csv', help='path of download_list.csv')
parser.add_argument('-save_path', '--save_path', default='video/data/', help='dir for saving videos')
parser.a... | deepbrainai-research/koeba | download_video.py | download_video.py | py | 2,794 | python | en | code | 30 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"li... |
31506165264 | import warnings
from itertools import islice
from math import log2, pow, sqrt
from copy import copy
from PIL import Image, ImageChops
from numpy import array, zeros, append
from scipy.fftpack import dct, idct
from qtar.core.imageqt import ImageQT, ImageQTPM
from qtar.core.curvefitting import fit_cfregions, CFRegions,... | Raykeen/qtar-stego | qtar/core/qtar.py | qtar.py | py | 17,375 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "math.pow",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "math.log2",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "qtar.core.container.Key",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "qtar.core.container.Contai... |
73428982753 | import os
import PIL
import math
import numpy as np
import pandas as pd
import cv2 as cv
from PIL import ImageFont
from PIL import Image
from PIL import ImageDraw
if __name__ == '__main__':
# 图片文件夹目录
path = "image"
files = os.listdir(path)
for img_file in files:
print(img_file)... | leemengwei/dead_pig_insurance | src/DeadPigImage.py | DeadPigImage.py | py | 2,937 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.listdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_nu... |
30340835666 | from PyQt5 import uic
from PyQt5 import QtGui, QtCore
from PyQt5.QtWidgets import QMainWindow, QPushButton, QApplication, QTextEdit, QApplication, QDialog
def p(x):
print (x)
class callScript(QDialog):
#def __init__(self):
# super().__init__()
def setupCB(self, akvoData, kernelParams, SaveStr... | LemmaSoftware/akvo | akvo/gui/callScript.py | callScript.py | py | 2,344 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.QProcess",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCor... |
20962586522 | from pyspark import SparkContext
sc = SparkContext("local[*]", "week9Assignment")
sc.setLogLevel("WARN")
def check_age(line):
fields = line.split(",")
if int(fields[1]) > 18:
return fields[0], fields[1], fields[2], "Y"
else:
return fields[0], fields[1], fields[2], "N"
base_rdd = sc.text... | Nishant-001/BigData_PySpark | week9assignment.py | week9assignment.py | py | 502 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pyspark.SparkContext",
"line_number": 3,
"usage_type": "call"
}
] |
31440311203 | import pyspark
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, asc,desc
spark = SparkSession.builder.appName('SparkByExamples.com').getOrCreate()
simpleData = [("James","Sales","NY",90000,34,10000), \
("Michael","Sales","NY",86000,56,20000), \
("Robert","Sales","CA",81000,30,23000)... | sahil20101993/spark_examples | pivot_df.py | pivot_df.py | py | 889 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 5,
"usage_type": "... |
41287163895 | from django.urls import path, re_path, register_converter
from .views import *
from core.routers import PetuniRouter
from .converters import CRMIdConverter
app_name = 'crm'
register_converter(CRMIdConverter, 'crmid')
router = PetuniRouter()
urlpatterns = [
path('contact/<crmid:crm_id>/pull/', CRMContactView.as_v... | sdmitrievlolx/code_samples | crm/urls.py | urls.py | py | 1,400 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.register_converter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "converters.CRMIdConverter",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "core.routers.PetuniRouter",
"line_number": 9,
"usage_type": "call"
},
{
... |
26854894161 | #! /usr/bin/env python
"""
Optimizer performance comparison
"""
import os
import sys
import subprocess
from multiprocessing import Pool
problems = {
'xray': '../doc/examples/xray/model.py',
'pemu': '../doc/examples/superlattice/PEMU-web.py',
}
# Aim for evals; assume problem size is 10
root = 'out'
nrepe... | reflectometry/refl1d | compareopt/compare.py | compare.py | py | 2,024 | python | en | code | 16 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
26856048171 | from setuptools import setup, find_packages
from os.path import join
import sys
version = '2.2.dev0'
readme = open("README.rst").read()
history = open(join('docs', 'HISTORY.txt')).read()
install_requires = ['setuptools', 'gocept.munin', 'Products.ZServerViews>=0.2']
if sys.version_info < (2, 5):
install_requires.... | RedTurtle/munin.zope | setup.py | setup.py | py | 1,759 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.version_info",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "setuptools.find_pa... |
33159038452 | # -*- coding: utf-8 -*-
import csv
import json
import re
# Make utility functions available
exec(compile(open("util.py", "r").read(), "util.py", 'exec'))
#open needed files and copy their content into lists
with open('../data/mp/stats/templates.txt', 'r') as file:
reader = csv.reader(file, delimiter=',')
templates... | kreuvf/fkmod | csv2json/templates.py | templates.py | py | 2,156 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "csv.reader",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 88,
"usage_type": "call"
}
] |
38018666023 | import torch
import torch.nn as nn
from networks.layers import (
RecurrentConvolutionalLayer,
ConvLayer,
Dense
)
class SharkRCNN(nn.Module):
def __init__(self, num_steps):
super(SharkRCNN, self).__init__()
self.conv = ConvLayer(1, 32, (7,3), (2,1), (3,1))
self.pool1 = ... | buchholzmd/SharkBehaviorClassification | networks/rcnn.py | rcnn.py | py | 1,499 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "networks.layers.ConvLayer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn.MaxP... |
29878128846 | from __future__ import print_function, division
import pandas as pd
import numpy as np
# import matplotlib
# matplotlib.use('qt4agg')
import matplotlib.pyplot as plt
from sklearn.preprocessing import MinMaxScaler, minmax_scale
def mae(y, prediction):
return np.mean(np.abs(y - prediction))
# Read in full data set
X... | moosmann/bl | bike.py | bike.py | py | 2,710 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.mean",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_numbe... |
2628304929 | import os
from datetime import datetime
import re
import logging
from os.path import join
def validate_date_prefix(date_prefix, formats, present):
'''Returns True if the string date_prefix is a valid date, given the list
of formats and if the date is smaller than the given present date.
'''
for forma... | tamiryspino/orderPhotos | src/rename_file.py | rename_file.py | py | 6,354 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.match",
... |
12981297349 | #!/usr/bin/env python
# Import PyGame library
import pygame
import adapter
import MD3Buttons
import RetroflagSnes
import ArduinoMicro
from actions import *
import logger
controllers = { MD3Buttons, RetroflagSnes, ArduinoMicro, }
pad = {}
joysticks = {}
currentGuid = ""
currentAdapter = -1
def pressButton(btn):
... | Pilou44/UsbToConsole | code/gamepad.py | gamepad.py | py | 4,184 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logger.debug",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "adapter.pressButton",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logger.debug",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logger.debug",
"lin... |
15053848115 | from django.contrib import admin
from django.urls import path, include
from .views import register_view, login_view, index, profile_view, oikawakuroo
urlpatterns = [
path('home/', index, name='home'),
path('register/', register_view, name='register'),
path('login/', login_view, name='login'),
path('pro... | KamiliyaOikawa/Lending | user/urls.py | urls.py | py | 421 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.index",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.register_view",
... |
34506238695 | import cocotb
from cocotb.triggers import Timer, RisingEdge, FallingEdge, ClockCycles
from cocotb.result import TestFailure
from cocotb.clock import Clock
from cocotb.binary import BinaryValue
from cocotb.scoreboard import Scoreboard
from cocotb.monitors import Monitor
from cocotb.regression import TestFactory
from coc... | Alberto12MC/Modules | tb/Zybo_Example/cocotb/Zybo_Example_tb.py | Zybo_Example_tb.py | py | 6,898 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "cocotb.monitors.Monitor",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "cocotb.monitors.Monitor.__init__",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "cocotb.monitors.Monitor",
"line_number": 37,
"usage_type": "name"
},
{
"... |
39586354908 | # fixtures are functions that are run by the pytest before the actual test functions
# eg= setup database connection, initialize webdriver
import pytest
# define fixtures function (parent method)
@pytest.fixture()
def setup_list():
print("\n in fixtures..\n")
# city2 = ["new york", "london", "mumbai"]
city... | kasthuridinesh/pythonprojects | pytest/parallel_test/udemy/test_fixtures01.py | test_fixtures01.py | py | 606 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pytest.fixture",
"line_number": 7,
"usage_type": "call"
}
] |
72615318755 | import functools
from keras.layers import *
from keras.models import Model
from keras.wrappers.scikit_learn import KerasClassifier
from keras.regularizers import l2
from keras.optimizers import SGD
import numpy as np
import pandas as pd
import tensorflow as tf
import os
import pickle
import plac
from rectified_adam i... | csvance/uthealth-ri | run.py | run.py | py | 8,731 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rectified_adam.RectifiedAdam",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tensorflow.config.experimental.list_physical_devices",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 29,
"usage_type": "a... |
28558005881 | from django import forms
from django.forms import ValidationError
from pgweb.core.models import Organisation
from .models import Event
class EventForm(forms.ModelForm):
form_intro = 'Before submitting an event, please read the <a href="/about/policies/news-and-events/">current policy</a> for News and Events'
... | postgres/pgweb | pgweb/events/forms.py | forms.py | py | 2,439 | python | en | code | 66 | github-code | 1 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pgweb.core.models.Organisation.objects.filter",
"line_number": 25,
"usage_type": "call"
},
{
... |
25422528336 | import urllib.request
import json
import dml
import prov.model
import datetime
import uuid
class trans_school(dml.Algorithm):
contributor = 'kobesay'
reads = ['kobesay.publicschool', 'kobesay.nonpublicschool']
writes = ['kobesay.regionschool', 'kobesay.regionpublicschool', 'kobesay.regionnonpublicschool']
... | data-mechanics/course-2017-spr-proj | kobesay/trans_school.py | trans_school.py | py | 6,680 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dml.Algorithm",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "dml.py... |
17288175559 | """
Handling mouse events in pygame
Drag and drop an image
"""
import pygame
BLACK = 0, 0, 0
WHITE = 255, 255, 255
RED = 255, 0, 0
GREEN = 0, 255, 0
BLUE = 0, 0, 255
pygame.init()
canvas = pygame.display.set_mode((500, 600))
people = pygame.image.load('assets/people.png')
# Start with image at 0, 0
people_rect... | Apress/game-development-with-pygame | p45b_mouse_events.py | p45b_mouse_events.py | py | 1,361 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.... |
8197675549 | """
Problem Set 3
"""
def pretty_print_fwd(fwd_struct):
"""
Arma cuadro para visualizar una estructura forward.
Parámetros:
fwd_struct : Estructura de tasas forward
"""
for t, fwds in fwd_struct.items():
fwds_txt = ', '.join(f'{tt:3}: {r:6.2%}' for tt, r in fwds.items())
pr... | FedericoMenendez22/pythonFinanzas | clases/ps3.py | ps3.py | py | 530 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
}
] |
32072889087 | from factsumm import FactSumm
import jsonlines
factsumm = FactSumm()
with jsonlines.open('/home/tiezheng/workspace/FidSum/data/qmsum/processed_data_no_sent_split/test.jsonl') as F:
article = []
target = []
for item in F:
article.append(item['src'])
target.append(item['tgt'])
with open('sr... | TysonYu/KA-QFMS | src/utls/hallucination.py | hallucination.py | py | 1,434 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "factsumm.FactSumm",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "jsonlines.open",
"line_number": 6,
"usage_type": "call"
}
] |
40357222820 | import ssl
from telnetlib import *
from telnetlib.option import TelnetOption
class TelnetOptionAuthentication( TelnetOption ):
"""
RFC 2941, Telnet Authentication Option
"""
AUTH_TYPE_NULL = chr( 0 )
AUTH_TYPE_KERBEROS_V4 = chr( 1 )
AUTH_TYPE_KERBEROS_V5 = chr( 2 )
AUTH_TYP... | pe2mbs/pytelnet | telnetlib/option/authentication.py | authentication.py | py | 3,701 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "telnetlib.option.TelnetOption",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "ssl.wrap_socket",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "ssl.PROTOCOL_SSLv23",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": ... |
12348014771 | import abc
from typing import TYPE_CHECKING
from ml_deeco.estimators import Estimate
if TYPE_CHECKING:
from ml_deeco.simulation import Experiment
class ComponentMeta(abc.ABCMeta):
"""
Metaclass for Component. Uses a counter to automatically generate the component ID.
"""
def __new__(mcs, name, ... | smartarch/ML-DEECo | ml_deeco/simulation/components.py | components.py | py | 2,001 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "abc.ABCMeta",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "ml_deeco.estimators.Estimate",
"line_number": 49,
"usage_type": "argument"
},
{
"api_name": ... |
622186416 | import torch.nn as nn
import torch
resl_to_ch = {
4 : (512, 512),
8 : (512, 512),
16 : (512, 512),
32 : (512, 512),
64 : (512, 256),
128 : (256, 128),
256 : (128, 64),
512 : (64, 32),
1024 : (32, 16),
}
resl_to_batch = {
4 : 512,
8 : 512,
16 : 512... | blacknwhite5/privacy-preserving-v2 | models/pg_network.py | pg_network.py | py | 4,274 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "torch.nn.init.kaiming_normal_",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "torch.nn.... |
23007266288 | """
Created on 7 Apr 2018
@author: john.dwan
ELEVATION PROFILE APP GENERATOR
ideagora geomatics-2018
http://geodose.com
"""
import json
from math import asin, cos, radians, sin, sqrt
import urllib.request
import matplotlib.pyplot as plt
from shapely.geometry import LineString
from siteline import config
def have... | John-Dwan/siteline | siteline/open_elevation_profile.py | open_elevation_profile.py | py | 4,101 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "math.radians",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_numbe... |
12497368956 | """Common methods and classes used for mesh client"""
from collections import namedtuple
import os
import json
import boto3
REGION_NAME = os.environ.get("AWS_REGION", "eu-west-2")
class SingletonCheckFailure(Exception):
"""Singleton check failed"""
def __init__(self, msg=None):
super().__init__()
... | NHSDigital/spine-core-aws-common | mesh_aws_client/mesh_common.py | mesh_common.py | py | 4,776 | python | en | code | 11 | github-code | 1 | [
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "boto3.client",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_numb... |
39999778314 | import numpy as np
import cv2
import time
from framecounter import FrameCounter
fcount = FrameCounter()
cv2.startWindowThread()
# cap = cv2.VideoCapture('walking.mp4')
cap = cv2.VideoCapture(0)
i = 0
while(True):
i+=1
ret, frame = cap.read()
fcount.start()
frame = cv2.resize(frame,(640,360))
#fr... | cbernet/maldives | opencv/video_in.py | video_in.py | py | 817 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "framecounter.FrameCounter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.startWindowThread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.re... |
38981554044 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import math
import re
import random
import collections
from scipy import stats
import jieba
import jieba.posseg as pseg
import wordcloud
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.decomposition import Trun... | restart2013/biliTechVideo | analyse.py | analyse.py | py | 12,912 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 44,
... |
72486000035 | from django.conf.urls.defaults import *
from django.contrib.auth.views import login, logout_then_login
from dpro.bilet.views import * #index, doldur, listele, csvdeneme, degistir,
urlpatterns = patterns(
'',
(r'^bilet/admin/', include('django.contrib.admin.urls')),
(r'^bilet/login/$', login, {'template... | zekzekus/dpro | urls.py | urls.py | py | 695 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.contrib.auth.views.login",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.views.logout_then_login",
"line_number": 9,
"usage_type": "name"
}
] |
9351150330 | from workers.serializers import *
from workers.models import *
from projects.models import *
from rest_framework import viewsets, permissions, status
from rest_framework.response import Response
from rest_framework.views import APIView
from django.db.models import Q
from django.db.models import Prefetch
import datetime... | Nikola-code/Portfolio | BonaAkademia/projekt-main/app/workers/views.py | views.py | py | 11,140 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.AllowAny",
"line_number": 19,
"usage_type": ... |
16083859777 | def run(model):
import pandas as pd
n_rows = None
print("____ Loading Data")
x_train = pd.read_csv('csv/traffic/x_train.csv', nrows=n_rows)
x_test = pd.read_csv('csv/traffic/x_test.csv', nrows=n_rows)
y_train = pd.read_csv('csv/traffic/y_train.csv', nrows=n_rows)
y_test = pd.read_csv('csv/traffic/y_test.csv',... | arthurpiazzi/Traffic-Flow | teste.py | teste.py | py | 2,827 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"... |
42231125149 | import random
import pytz
import json
from django.dispatch import receiver
from django.db.models.signals import pre_save
from django_celery_beat.models import CrontabSchedule, PeriodicTask
from .models import Agent
days = {
"sun": 0,
"mon": 1,
"tue": 2,
"wed": 3,
"thu": 4,
"fri": 5,
"sat... | wh1te909/backup-offsite | offsite/core/signals.py | signals.py | py | 2,265 | python | en | code | 11 | github-code | 1 | [
{
"api_name": "models.Agent",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "django_celery_beat.models.PeriodicTask.objects.filter",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "django_celery_beat.models.PeriodicTask.objects",
"line_number": 38,
"u... |
17553648881 | import os
import argparse
import json
from pypdf import PdfReader
import openai
API_KYE = os.environ['OPENAI_API_KEY']
openai.api_key = API_KYE
def summarize_file(path):
reader = PdfReader(path)
number_of_pages = len(reader.pages)
page = reader.pages[0]
text = page.extract_text()
messages=[
... | xzymustbexzy/summarizer | src/main.py | main.py | py | 857 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "openai.api_key",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pypdf.PdfReader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "openai.ChatCompleti... |
11494310897 | import inspect
import os
import numpy as np
import pickle
import regex
import tensorflow as tf
from tensorflow import keras
from transformers import BertConfig, TFBertMainLayer
from .utils import found_package
import transformers
import tensorflow_addons as tfa
from .utils import iobes_iob, parse_lr_method
from .con... | CederGroupHub/MatEntityRecognition | materials_entity_recognition/scripts/model_framework.py | model_framework.py | py | 34,451 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "tensorflow.keras.Model",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "os.path"... |
11207901318 | """
End to end test of video timelines.
"""
import datetime
import logging
from edx.analytics.tasks.tests.acceptance import AcceptanceTestCase
log = logging.getLogger(__name__)
class VideoAcceptanceTest(AcceptanceTestCase):
"""End to end test of video timelines."""
INPUT_FILE = 'video_timeline.log'
d... | openedx/edx-analytics-pipeline | edx/analytics/tasks/tests/acceptance/test_video.py | test_video.py | py | 3,956 | python | en | code | 90 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "edx.analytics.tasks.tests.acceptance.AcceptanceTestCase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 19,
"usage_type": "call"
}
] |
31008119657 | from math import inf
from collections import deque
from tracemalloc import start
def dijkstra(wmat, start, end=-1):
n = len(wmat)
dist = [inf] * n
dist[start] = wmat[start][start] # 0
spVertex = [False] * n
parent = [-1] * n
path = [{}] * n
for count in range(n - 1):
minix = i... | kmlutkmtll/discreteMath | graph2.py | graph2.py | py | 4,325 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "math.inf",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "tracemalloc.start",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "math.inf",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "tracemalloc.start",
"line_numb... |
28940574898 | import PyPDF2
#translate the pdf file to txt file
def pdf_to_text(pdf_file_path, txt_file_path):
try:
# Open the PDF file
with open(pdf_file_path, 'rb') as pdf_file:
pdf_reader = PyPDF2.PdfReader(pdf_file)
# Initialize an empty text string
text = ""
... | evanJensengit/finance_helper | pdf_to_txt.py | pdf_to_txt.py | py | 1,096 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PyPDF2.PdfReader",
"line_number": 8,
"usage_type": "call"
}
] |
42482303901 | import graphene
from graphene import Field
from graphene_django.types import ErrorType
from graphene.types.base import BaseOptions
from django.core.exceptions import ObjectDoesNotExist
class DeleteMutationOptions(BaseOptions):
model = None
arguments = None
output = None
resolver = None
interface... | JiaWeiXie/django-project-template | project-name/src/app/utils/graphql/mutation.py | mutation.py | py | 2,807 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "graphene.types.base.BaseOptions",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "graphene.Mutation",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "graphene.ID",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "gr... |
31932909558 | from flask import Flask, render_template , Response
import cv2 , os
import argparse
app = Flask(__name__)
app.config['SECRET_KEY'] = '1234'
@app.route('/') #html 보여준다.
def index():
return render_template('index.html')
@app.route('/video_show')
def video_show():
return Response(yield_video(), mimetype= "multi... | amo33/taskprojects | yieldvideo/videoyield.py | videoyield.py | py | 1,512 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.Response",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
... |
7419480168 | """ HSC Datasets """
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from . import hsc_utils
from . import astroimage_utils
from tensor2tensor.data_generators import generator_utils
from tensor2tensor.data_generators import image_utils
from tensor2tensor.d... | ml4astro/galaxy2galaxy | galaxy2galaxy/data_generators/hsc.py | hsc.py | py | 8,144 | python | en | code | 27 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"lin... |
35072935714 | from kivy.uix.screenmanager import Screen
from kivy.lang import Builder
from kivy.uix.boxlayout import BoxLayout
from kivy.properties import StringProperty
from kivy.utils import platform
from kivymd.uix.dialog import MDDialog
from kivymd.uix.button import MDFlatButton
from kivymd.uix.filemanager import MDFileManager
... | wasimafser/DataShare | screens/send.py | send.py | py | 3,650 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "kivy.lang.Builder.load_string",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "kivy.lang.Builder",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "socket.socket",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "socket.... |
40586297846 | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 29 18:16:02 2021
@author: Park Ihn
"""
import json
from collections import OrderedDict
import csv
from datetime import datetime
import re
from turtle import Turtle
#input file open
inputCsv = open("KIKmix.20220401(말소코드포함).csv","r",encoding="cp949")
rd = csv.reader(inputCs... | YangHong-bin/visual_code | py_요기요 코드/test.py | test.py | py | 3,713 | python | ko | code | 0 | github-code | 1 | [
{
"api_name": "csv.reader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "re.search"... |
22876010422 | import socket
import select
import errno
from select import POLLIN, POLLOUT, POLLERR, POLLHUP, POLLNVAL
from ccstruct import *
from collections import deque
# define channel types
CH_TYPE_PIPE = 0
CH_TYPE_TCP = 1
CH_TYPE_UDP_S = 2 # send-only UDP
CH_TYPE_UDP_R = 3 # recv-only UDP
# define channel state
CH_STATE_NO... | yeliqseu/ccfd-python | channel.py | channel.py | py | 10,849 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "select.POLLIN",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "select.POLLOUT",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "select.POLLERR",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"... |
15978928257 | import math
import numpy as np
import torch
from PIL import Image
class BackDoorAttack():
@staticmethod
def make_attack(train_x, train_y, args):
"""
Makes a backdoored dataset, following Gu et al. https://arxiv.org/abs/1708.06733
train_x: clean training features - must be shape (n_sa... | andrewyguo/auditing | attacks/backdoor.py | backdoor.py | py | 2,198 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.random.choice",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.copy",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"lin... |
31904462804 | # sc_logger.py
import logging
class XBLogger:
def __init__(self):
log = logging.getLogger('log')
log.setLevel(logging.DEBUG)
# setup file handler & formatter
ch = logging.FileHandler(filename='log/scorpius.log', mode='w')
# setup output string
# format_s = '%(lev... | xavibenavent/scorpius | src/sc_logger.py | sc_logger.py | py | 702 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.Format... |
25461318315 | import unittest
from collections import namedtuple
from telemetry.internal.results import page_test_results
from telemetry.page import page
from telemetry.web_perf.metrics import single_event
from telemetry.web_perf import timeline_interaction_record
TRACE_EVENT_NAME = 'FrameView::performLayout'
METRIC_NAME = 'layout... | hanpfei/chromium-net | third_party/catapult/telemetry/telemetry/web_perf/metrics/single_event_unittest.py | single_event_unittest.py | py | 2,972 | python | en | code | 289 | github-code | 1 | [
{
"api_name": "collections.namedtuple",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "telemetry.web_perf.timeline_interaction_record.TimelineInteractionRecord",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "telemetry.web_perf.timeline_interaction_reco... |
38487802023 | import os
import json
import sys
def pr(matrix):
for r in matrix:
print(r)
path = os.path.dirname(os.path.abspath(__file__))
inputname = sys.argv[1] if len(sys.argv) > 1 else os.path.join(path, "input.txt")
with open(os.environ.get("AOC_INPUT", inputname), "r") as f:
INPUT = f.read().split("\n")
... | pting/aoc2022 | day08/day08.py | day08.py | py | 2,153 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_num... |
11724373152 | from app import app
from flask import render_template, request
from bs4 import BeautifulSoup
from app.forms import GetPageForm
import requests
import string
def get_page_controller():
form = GetPageForm()
page_url = form.url.data
page = requests.get(page_url)
soup = BeautifulSoup(page.text, 'html.parser')
... | kellybarber/python-scraper | app/controllers/get_page_controller.py | get_page_controller.py | py | 789 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "app.forms.GetPageForm",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "string.punctuati... |
70511358435 | from nio import Block
from nio.util.discovery import not_discoverable
from nio.testing.block_test_case import NIOBlockTestCase
from ...multiple import MultipleSignals
from ...generators.counter import CounterGenerator
@not_discoverable
class SampleCounterBlock(CounterGenerator, Block):
pass
@not_discoverable
c... | nio-blocks/simulator | tests/generators/test_counter.py | test_counter.py | py | 3,075 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "generators.counter.CounterGenerator",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "nio.Block",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "nio.util.discovery.not_discoverable",
"line_number": 9,
"usage_type": "name"
},
{
"... |
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