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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8650968817 | import os
from dotenv import load_dotenv
import telegram
from telegram import Update
from telegram.ext import Updater
from telegram.ext import Dispatcher
from telegram.ext import Filters
from telegram.ext import CommandHandler,MessageHandler
from telegram.ext import CallbackContext
from telegram import ReplyKeyboardMa... | 949027/devman_assistant | meeting_organizer/management/commands/inform_bot.py | inform_bot.py | py | 3,965 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "telegram.ReplyKeyboardMarkup",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "telegram.Update",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "telegram.ext.C... |
23185945419 | import logging
import time
import torch
class Trainer(object):
def __init__(self, cfg, model, output_dir, writer_dict):
self.cfg = cfg
self.model = model
self.output_dir = output_dir
self.writer_dict = writer_dict
self.weight_decay_coefficient = cfg.TRAIN.WD
... | Nickiris/contextualpose | core/trainer.py | trainer.py | py | 3,856 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": ... |
14324501616 | # coding: utf-8
from typing import Dict, List # noqa: F401
from fastapi import ( # noqa: F401
APIRouter,
Body,
Cookie,
Depends,
Form,
Header,
Path,
Query,
Response,
Security,
status,
)
from customer_api.impl.health import is_everything_ok
from customer_api.models.extra_m... | egde/fastapi_tutorial | app/src/customer_api/apis/health_api.py | health_api.py | py | 627 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "customer_api.impl.health.is_everything_ok",
"line_number": 36,
"usage_type": "call"
}
] |
8763792867 | import requests
# Get the auth token using Synthetics Credential Vault
client_id = "<%CharlesLin-API-User%>"
client_secret = "<%CharlesLin-API-Secret%>"
token_url = 'http://se-demo-aws.demo.appdynamics.com:8090/controller/api/oauth/access_token'
payload={'grant_type': 'client_credentials', 'client_id':client_id, 'cl... | Appdynamics/synthetic-jobs | Synthetics-listofapps.py | Synthetics-listofapps.py | py | 790 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
}
] |
39920785164 | from zerorobot import service_collection as scol
from zerorobot import config
import json
def service_view(service):
s = {
"template": str(service.template_uid),
"version": service.version,
"name": service.name,
"guid": service.guid,
"state": state_view(service.state),
... | BolaNasr/0-robot | zerorobot/server/handlers/views.py | views.py | py | 1,642 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "zerorobot.service_collection.is_service_public",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "zerorobot.service_collection",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "zerorobot.config.god",
"line_number": 17,
"usage_type": "attr... |
73831983547 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date: Created on 28 Aug 2023 09:19
# @Author: Yao LI
# @File: clustering.py
import pandas as pd
from sklearn.linear_model import LogisticRegression
import hdbscan
import sys
from pcg_pattern import *
from scipy.ndimage import gaussian_filter1d
import numpy as np
from p... | BGI-Qingdao/4D-BioReconX | PCG/clustering/clustering.py | clustering.py | py | 5,604 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "scanpy.read_h5ad",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "hdbscan.HDBSCAN",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.savetxt",
"l... |
38678645336 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import random
import pyarrow.plasma as plasma
def random_object_id():
return plasma.ObjectID(np.random.bytes(20))
def generate_metadata(length):
metadata_buffer = bytearray(lengt... | ray-project/sandbox | python/ray/plasma/utils.py | utils.py | py | 1,616 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "pyarrow.plasma.ObjectID",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyarrow.plasma",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.random.bytes",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
17347843732 | from django.db import models
class TsInterfaceMixin(object):
"""将pydantic转换为Ts格式字符串"""
@classmethod
def get_ts_interface(cls, field_dict=None, field_is_list=False, indentation_form='\t', recursion_time=1): # 递归深度写进函数参数里，每次递归根据情况决定是否将深度加一
result = 'interface ' + cls.__name__ + ' {\n' + cls.__get_ts_... | cuifeihe/django_WorkFlowProject | common/basemodel.py | basemodel.py | py | 3,222 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "django.db.models.DateTimeField",
"line_number": 65,
"usage_type": "call"
},
{
"api_n... |
21113378432 | from django.shortcuts import render, render_to_response, get_object_or_404
from openvpn.models import OpenvpnServer, OpenvpnClient
from openvpn.forms import OpenvpnServerForm, OpenvpnClientForm
def start(request):
context = {}
return render(request, 'core/start.html', context)
def list_vpns(request):
vpn_... | superdachs/OwnVPN | ownvpn/core/views.py | views.py | py | 1,254 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "openvpn.models.OpenvpnServer.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "openvpn.models.OpenvpnServer.objects",
"line_number": 10,
"usage_type": "... |
26758338046 | import re
import os
import configparser
from typing import List
from RPA.Browser.Selenium import Selenium
from RPA.FileSystem import FileSystem
from RPA.PDF import PDF
from RPA.Excel.Files import Files
from selenium.common.exceptions import NoSuchElementException
def parse_config(config_path: str) -> str:
confi... | sapiely/rpa_agencies | main.py | main.py | py | 5,707 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "RPA.Browser.Selenium.Selenium",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "t... |
29747616689 | """
Config.py : the congfiguration of hyper-parameters and the setting of experiments,
such as the number of training instances
ResNet.py : the definition of Resnet for MNIST and CIFAR10 data set, including the convolutional blocks, GAP
and fully connectiong layers
ResNet_imagenet.py : the defin... | itapty-ily/Lagat | main.py | main.py | py | 13,913 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "Config.opt.n_epochs",
"line_number": 68,
"usage_type": "attribute"
},
{
"api_name": "Config.opt",
"line_number": 68,
"usage_type": "name"
},
{
"api_name": "Config.opt.n_epochs",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "Config.o... |
17215751397 | """ChatGPTを使った社則チャットボット"""
import os
# import openai
import requests
import json
# APIキーを環境変数から取得
api_key = os.getenv("CHATGPT_API_KEY")
# openai.api_key = os.getenv("CHATGPT_API_KEY")
# API エンドポイントとヘッダー
# init()とask()で共通
url = "https://api.openai.com/v1/chat/completions"
headers = {
"Content-Type": "application... | u1and0/employment_regulations_gpt3bot | main.py | main.py | py | 3,632 | python | ja | code | 0 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": ... |
71451146107 | import numpy as np
import tensorflow as tf
from waymo_open_dataset.protos import occupancy_flow_metrics_pb2
from waymo_open_dataset.protos import occupancy_flow_submission_pb2
from waymo_open_dataset.protos import scenario_pb2
from waymo_open_dataset.utils import occupancy_flow_data
from waymo_open_dataset.utils impor... | georgeliu233/STrajNet | loss.py | loss.py | py | 13,035 | python | en | code | 40 | github-code | 6 | [
{
"api_name": "tensorflow.keras",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "tensorflow_addons.losses.SigmoidFocalCrossEntropy",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "tensorflow_addons.losses",
"line_number": 32,
"usage_type": "attr... |
11900494264 | from navbar import create_navbar
import dash
import dash_bootstrap_components as dbc
from dash import Dash, dcc, html, Input, Output, callback, dash_table
import pandas as pd
import plotly.express as px
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import LabelEncoder
from matplotlib.ticke... | jeanpierec/ljpiere_projects | DataScience_projects/Proyecto5_DS4ABucaramanga/page_2.py | page_2.py | py | 8,456 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "seaborn.set",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "dash.Dash",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dash_bootstrap_components.themes",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "navbar.cr... |
20841040066 | import nltk
from nltk.tokenize import word_tokenize, sent_tokenize
from nltk.corpus import stopwords
from Sastrawi.Stemmer.StemmerFactory import StemmerFactory
from nltk.probability import FreqDist
import re
import string
import pandas as pd
from nltk.tokenize.treebank import TreebankWordDetokenizer
spill_words = {
... | mfaisalafandi/identification_teks_ulasan_svm | Preprocessing.py | Preprocessing.py | py | 4,786 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.sub",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 89,... |
33553821470 | #!/usr/bin/env python3
'''
New Post
Usage: newpost.py [-t TITLE]
-h --help show this
-t --title title
'''
from docopt import docopt
from datetime import date
def main():
root_dir = '_posts/'
post_title = arguments.get('TITLE')
today = date.today()
post_replace ... | georgeglessner/blog | newpost.py | newpost.py | py | 813 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.date.today",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "docopt.docopt",
"line_number": 36,
"usage_type": "call"
}
] |
17830203884 | from copy import deepcopy
import numpy as np
import torch
import torch.nn as nn
def get_module(config):
if config['name'] == 'linear':
return LinearWrapper(**config['args'])
if config['name'] == 'flatten':
return Flatten()
if config['name'] == 'conv_2d':
return Conv2dWrapper(**con... | niksaz/aido1 | models/ddpg/modules.py | modules.py | py | 6,633 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.BatchNorm2d",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.nn.Dropout",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
30468980540 | import requests
import json
import gspread # pip install gspread
'''SETUP
- google developer console: https://console.developers.google.com
- new project -> activate drive and sheets api
- credentials -> service account -> name + role=editor
->create key and download json
- share client_email fom json in your sheet... | Pratap517/Email_function_calling | test.py | test.py | py | 1,168 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gspread.service_account",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 41,
"usage_type": "call"
}
] |
70268989949 | import time
import logging
from blin.config import Config
from blin.database import Database
from blin.vk import API
from blin.numerals import get_seconds
logging.basicConfig(
format='%(asctime)s - %(levelname)s - %(funcName)s - %(message)s',
level=Config.log_level
)
#
# # datetime = Config.datetime
# dateti... | cyber-chuvash/blinBlinskiyNoviyGod | blin/blin.py | blin.py | py | 1,245 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "blin.config.Config.log_level",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "blin.config.Config",
"line_number": 11,
"usage_type": "name"
},
{
"api_name"... |
29928906591 | import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import interp1d
from ast2000tools.solar_system import SolarSystem
from ast2000tools.space_mission import SpaceMission
from ast2000tools.shortcuts import SpaceMissionShortcuts
class PlanetaryOrbits:
"""
Interpolerer verdier fra... | Jonnyigeh/AST2000 | Part 5/Del 5/interpolation.py | interpolation.py | py | 1,026 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ast2000tools.shortcuts.SpaceMissionShortcuts",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ast2000tools.space_mission.SpaceMission",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 15,
"usage_type": "c... |
33548573171 | import requests
import sys, os
import time
def translate_deepl(text, source_lang, target_lang):
with open("./required_functions/deepl_api_key.txt","r") as f:
API_KEY = f.readlines()[0].replace("\n","")
source_lang = source_lang.upper()
target_lang = target_lang.upper()
params = {
"auth... | StarterinUtopian/VIDEOBOT | utils_translation.py | utils_translation.py | py | 825 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 17,
"usage_type": "call"
}
] |
42103954143 | import time
from unittest import TestCase
import pytest
import mock
from ddtrace.span import Span
from ddtrace.internal.writer import AgentWriter, Q, Empty
class RemoveAllFilter():
def __init__(self):
self.filtered_traces = 0
def process_trace(self, trace):
self.filtered_traces += 1
... | karolinepauls/dd-trace-py | tests/internal/test_writer.py | test_writer.py | py | 6,141 | python | en | code | null | github-code | 6 | [
{
"api_name": "mock.Mock",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "mock.Mock",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "ddtrace.internal.writer.AgentWr... |
23837861582 | '''
Research zero stability by means of special function
'''
import numpy as np
import pandas as pd
import drawer
import multiprocessing
import utils
from functools import partial
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
NUMERICAL_METHODS = ['Euler', 'Runge-Kutta', 'Butcher']... | leonel11/KaschenkoEquation | Scripts/zero_point_research_multiproc.py | zero_point_research_multiproc.py | py | 6,006 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.a... |
18796266227 | import multiprocessing as mp
import os
from fnmatch import fnmatch
from subprocess import Popen
def chunk(seq, n):
"""
divide a sequence into equal sized chunks
(the last chunk may be smaller, but won't be empty)
"""
chunks = []
some = []
for element in seq:
if len(some) == n:
... | milvus-io/milvus | internal/core/build-support/lintutils.py | lintutils.py | py | 2,652 | python | en | code | 24,190 | github-code | 6 | [
{
"api_name": "multiprocessing.cpu_count",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
17433151770 | import unittest
import gmpy2
from gmpy2 import mpz
from chvote.Utils.Utils import AssertNumeric, AssertInt
def ToByteArray(x):
"""
Algorithm 4.3: ToByteArray(x): Converts the given integer to a bytearray in big-endian byte order
Args:
x (int | mpz): The number to be converted to a bytearray
... | nextgenevoting/visualizer | backend/chvote/Utils/ToByteArray.py | ToByteArray.py | py | 2,964 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "chvote.Utils.Utils.AssertNumeric",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "gmpy2.mpz",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "gmp... |
39556747349 | # -*- coding: utf-8 -*-
import db
import os
import uuid
from pathlib import Path
from eyed3.mp3 import Mp3AudioFile
import utils
def create_playlist(playlist_name: str) -> None:
db.insert_playlists([{"id": str(uuid.uuid4()), "title": playlist_name}])
def add_source(sources=[]):
for source in sources:
... | georgemunyoro/audial | api/media.py | media.py | py | 3,683 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "db.insert_playlists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "db.get_sources",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "db.default_con",
"l... |
14222044900 | '''
Libsubmit
=========
Uniform interface to diverse and multi-lingual set of computational resources.
'''
import logging
logger = logging.getLogger(__name__)
from libsubmit.version import VERSION
from libsubmit.providers import LocalProvider
from libsubmit.providers import CobaltProvider
from libsubmit.providers i... | Parsl/libsubmit | libsubmit/__init__.py | __init__.py | py | 3,321 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "libsubmit.version.VERSION",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "logging.DEBUG",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "logging... |
25070266255 | from attr import has
from django.urls import reverse
from rest_framework.request import Request
from purplship.references import collect_providers_data, collect_references
from purplship.server.core.serializers import CustomsContentType, Incoterm, MODELS
from purplship.server.conf import settings
PACKAGE_MAPPERS = c... | danh91/purplship | server/modules/core/purplship/server/core/dataunits.py | dataunits.py | py | 2,910 | python | en | code | null | github-code | 6 | [
{
"api_name": "purplship.references.collect_providers_data",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "purplship.references.collect_references",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "purplship.server.core.serializers.CustomsContentType",
"l... |
12483912159 | import numpy as np
import matplotlib.pyplot as plt
from cowling import CowlingModel
from constants import Msun,Lsun,Tesun
from scipy.constants import year
Myr = 1e6*year
m = 9
M = np.linspace(2*Msun, 10*Msun, m)
X,Z = 0.7, 0.02
dt,n,nstep = 0.01*Myr, 2, 20
L,T = np.empty((2,m,n+1))
t = np.arange(n+1)*dt*nstep/Myr
f... | tt-nakamura/cowling | fig4.py | fig4.py | py | 962 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.constants.year",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "constants.Msun",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.empty",
"... |
72143870268 | from typing import List, Set, Tuple
from copy import copy
# conceptualmente
'''
mapa: List[List[int]] = []
point = Tuple[int, int]
'''
ROCK = 1
EMPTY = 0
'''
Obs:
La unica función que subre modificaciones en esta implementación es search_path.
Dado que la lógica para obtener vecinos y verificar si un espacio esta d... | levensworth/udesa-pc-tutorial | 2022-a/5-recursion/solutions/find_path_no_recur.py | find_path_no_recur.py | py | 4,214 | python | es | code | 2 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number"... |
17296666480 | # -*- coding: utf-8 -*-
"""
Created on Thu Nov 18 11:35:43 2021
@author: NLP Lab
"""
import numpy as np
from cv2 import cv2
original = cv2.imread('th.jpg')
#cv2.imshow('ori',original)
#cv2.waitKey(0)
gray = cv2.cvtColor(original, cv2.COLOR_BGR2GRAY)
(thresh,bina) = cv2.threshold(gray,120,255,cv2.THRE... | SajibTalukder2k16/Temp | Image/Dilation.py | Dilation.py | py | 1,348 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.cv2",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "cv2.cv2.cvtColor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.cv2",
"line_number": ... |
4592756922 | __all__ = [
'Index',
]
import json
from datetime import datetime, timezone
from systemimage.bag import Bag
from systemimage.image import Image
IN_FMT = '%a %b %d %H:%M:%S %Z %Y'
OUT_FMT = '%a %b %d %H:%M:%S UTC %Y'
class Index(Bag):
@classmethod
def from_json(cls, data):
"""Parse the JSON... | ubports/system-image | systemimage/index.py | index.py | py | 2,157 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "systemimage.bag.Bag",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
23423074344 | #!/usr/bin/env python3
import re
import os
import pprint
import logging
import urllib
from prompt_toolkit import prompt
from prompt_toolkit.contrib.completers import WordCompleter
from prompt_toolkit.history import FileHistory
from prompt_toolkit.auto_suggest import AutoSuggestFromHistory
from prompt_toolkit.styles i... | oftl/ab | ab.py | ab.py | py | 2,134 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "prompt_toolkit.history.FileHistory",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "o... |
36226503206 | import flask
from flask import request
from auth import authenticate, get_session
app = flask.Flask(__name__)
@app.route('/authenticate', methods=['POST'])
def login():
"""
Autentiserer et innloggingsforsøk.
Brukernavn og (hashet) passord sendes som JSON.
Dersom de er gyldig genereres en tilfeldig to... | mchyll/sikkerhet | oving_10/oppgave_1/server.py | server.py | py | 1,520 | python | no | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "auth.authenticat... |
23692873229 | '''
Main server file.
This file reads the arguments of the program and sets
the server state accordingly. It also has the main function
responsible for receiving and sending DNS messages. Processing is
done in another file.
Last modification: Multiprocessing
Date of Modification: 19/11/2022 18:11
'''
#TODO: Terminate... | SLP25/DNS | dnsserver.py | dnsserver.py | py | 11,569 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "multiprocessing.Queue",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "server.cache.process_message",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "server.cache",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "serve... |
7506419546 | import db_connection
import psycopg2.sql as sql
COMPARISON_TYPES = ('=', '<>', '<', '>', '<=', '>=', 'LIKE', 'NOT LIKE', 'IN', 'NOT IN')
COMPARISON_TYPES_EXTENDED = ('BETWEEN', 'NOT BETWEEN')
JOIN_WORDS = ('AND', 'OR')
SQL_FUNCTIONS = ('COUNT', 'SUM', 'AVG', '')
ORDER_TYPES = ('ASC', 'DESC')
JOIN_TYPES = ('LEFT', 'RI... | CodecoolWAW20171/web-askmate-project-sejsmogrzmoty | persistence.py | persistence.py | py | 18,444 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "psycopg2.sql.SQL",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "psycopg2.sql",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "psycopg2.sql.SQL",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "psycopg2.sql",
"li... |
41969607479 | import asyncio
from tonplace import get_token, API
async def main():
token = await get_token("+79123456789", save_session=True)
api = API(token)
# Любой запрос к ton.place api которого нет в методах
custom_data = await api.request("POST", path=f"test/test", json_data={"test": 123})
return custom... | 0x216/tonplaceApi | examples/custom_request.py | custom_request.py | py | 411 | python | ru | code | null | github-code | 6 | [
{
"api_name": "tonplace.get_token",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tonplace.API",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 15,
"usage_type": "call"
}
] |
16257317726 | """
- `combine_index((None,), (0,)) == ()`
- `combine_index((None,), (None,)) == (None, None)`
- `combine_index((None, ), (slice(None), )) == (None, )`
- `combine_index((), (None, )) == (None, )`
- `combine_index((), right) == right`
- `combine_index((None,) + left, (0,) + right) == combine_index(left, right)`
- `combi... | morphocut/morphocut | experiments/NDProxy.py | NDProxy.py | py | 9,116 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "functools.partial",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "lazy_object_proxy.slots.slots",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "lazy_object_proxy.slots",
"line_number": 45,
"usage_type": "name"
},
{
"api_... |
33800378688 | from collections import deque
dx = [-1,-1,-2,-2,1,1,2,2]
dy = [-2,2,-1,1,-2,2,-1,1]
t = int(input())
for _ in range(t):
n = int(input())
sx,sy = map(int, input().split())
ex,ey = map(int, input().split())
if sx==ex and sy==ey:
print(0)
continue
check = [[-1]*n for _ in range(n)]
... | devAon/Algorithm | BOJ-Python/boj-7562_나이트의이동.py | boj-7562_나이트의이동.py | py | 721 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 13,
"usage_type": "call"
}
] |
2535388387 | import importlib
from os import listdir
class Path:
LAYER1 = 'bot'
LAYER2 = ['exts', 'assets', 'utils']
LAYER3 = ['admin']
def get_extensions():
"""
Loops through directories and subdirectories to find for cogs that can be
load into
"""
base = f'./{Path.LAYER1}/{Path.LAYER2[0]}/'
... | Rickaym/kwe-sai-sai-music | bot/utils/extensions.py | extensions.py | py | 1,048 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_number": 25,
"usage_type": "call"
}
] |
74692291386 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
bitcoin = pd.read_csv('data_game/BTC-EUR.csv', index_col='Date', parse_dates=True)
# bitcoin['Close'].plot(figsize=(9, 6))
bitcoin.loc['2022':'2023', 'Close'].plot()
plt.show()
bitcoin.loc['2023', 'Close'].resample('2W').mean().plot()
plt.show()
... | Lenked/Machine-Learnia-Tutorial | 18_time_series.py | 18_time_series.py | py | 1,305 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
73817265786 | from copy import copy, deepcopy
import pytest
from pystiche_papers.utils import HyperParameters
@pytest.fixture
def params():
return {name: val for val, name in enumerate("abc")}
def test_HyperParameters_getattr(params):
hyper_parameters = HyperParameters(**params)
for name, val in params.items():
... | pystiche/papers | tests/unit/utils/test_hyper_params.py | test_hyper_params.py | py | 3,593 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "pytest.fixture",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pystiche_papers.utils.HyperParameters",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pystiche_papers.utils.HyperParameters",
"line_number": 21,
"usage_type": "call"
... |
40290864558 | """
Purpose : Retirement savings lasting period
Author : Vivek T S
Date : 07/11/2018
"""
import matplotlib.pyplot as pyplot
def retirement(balance, age, retireAge, rate, monthly, percentWithdraw):
amount = balance
plan1List = [amount]
age1List = [age]
for year in range(age*12+1,ret... | vivekworks/learning-to-code | 4. Discovering Computer Science/Python/Chapter 4 - Growth And Decay/Projects/4.2/part3.py | part3.py | py | 2,427 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "matpl... |
32220256613 | import cv2
import numpy as np
from StrawberryMaturation import *
# Wildan Fajri Alfarabi
def main():
img = cv2.imread("maturationStage.png")
img2 = cv2.imread("Strawberry-plant-1.jpg")
img3 = cv2.imread("Strawberry-plant-2.jpg")
width = int(img3.shape[1] * 60 / 100)
height = int(img3.sh... | wildanfajri1alfarabi/strawberry-maturation-detection | main.py | main.py | py | 2,092 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 14,
... |
27625663917 | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 26 16:06:42 2021
@author: Viann_prems
"""
from PIL import Image
from cv2 import cv2
import numpy as np
import easyocr
import time
import matplotlib
import matplotlib.pyplot as plt
cni_recto_path = 'Images/cnirecto.png'
cni_verso_path = 'Images/cniverso.png'
# decouper ... | viannprems99/projet_ocr | cni.py | cni.py | py | 3,543 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "easyocr.Reader",
"line_numbe... |
5556193757 |
import itertools
import logging
import os
import sys
from data.exceptions import RequestDoesntExist
from plots.metrics_ import moments_dataset_xr
from run.train import Timer
import torch
from data.load import get_data
from data.vars import get_var_mask_name
from models.load import load_model, load_old_model
import... | CemGultekin1/cm2p6 | run/analysis/lsrp_eval.py | lsrp_eval.py | py | 4,359 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.arguments.options",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "utils.arguments.options",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "xarray.Dataset",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "plots.... |
43299451946 | # from groovypy.elements.echo import Echo
# from groovypy.elements.shell import Shell
#
# classes = [Echo, Shell]
import importlib
import inspect
from pathlib import Path
classes = []
for pkg in Path(Path(__file__).parent).iterdir():
if pkg.suffix == ".py" and pkg.name != "__init__.py":
elements = import... | MarkVerbeek91/groovypy | src/groovypy/elements/__init__.py | __init__.py | py | 720 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "inspect.getmembers",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "inspect.iscla... |
38482934434 | from django.test import TestCase
from ..models import Story
import json
class PostStoryTestCase(TestCase):
def setUp(self):
Story.objects.create(id = 1, title = "Testing Story", story= "Once upon a time ...", name = "USER", longitude =
3.14, latitude = 4.13, location = "somewhere", tag =... | bounswe/2021SpringGroup9 | practice-app/api/tests/test_post_story.py | test_post_story.py | py | 2,112 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "models.Story.objects.create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Story.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name"... |
34596293196 | from collections import defaultdict
from dataclasses import dataclass
import os
from time import time
from typing import List, Optional, Union
import numpy as np
import torch
import transformers
from app.const import (
APPS_PROBLEMS_DIR,
MAX_GEN_HORIZON,
MODEL_NAME,
NO_CUDA,
NUM_BEAMS,
SEED,
... | cavaunpeu/mcts-llm-codegen | app/type.py | type.py | py | 8,582 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "app.const.APPS_PROBLEMS_DIR",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",... |
35864122546 | from tweepy import Stream
from tweepy import OAuthHandler
from tweepy.streaming import StreamListener
import json
import sqlite3
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
from textblob import TextBlob
from unidecode import unidecode
import time
from keys import *
# Tweepy is an open sourc... | Chris-Valenzuela/Twitter_Sentiment | 7_StreamingTweets.py | 7_StreamingTweets.py | py | 4,060 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "vaderSentiment.vaderSentiment.SentimentIntensityAnalyzer",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "tweepy.streaming.StreamListener",
"line_number": 52,
"usage_type... |
39298523491 | from django.urls import path
from AppIntermedia.views import *
urlpatterns = [
path('', inicio, name="Inicio"),
path('Crear/Sucursales', crearSucursales, name='CrearSucursales'),
path('Crear/Empleados', crearEmpleados, name='CrearEmpleados'),
path('Crear/Servicios', crearServicios, name='CrearSe... | fredymiranda/problema_url_intermedia | EntregaIntermedia/AppIntermedia/urls.py | urls.py | py | 838 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"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",
... |
29088741580 | import pygame
pygame.font.init()
class Text:
def __init__(self, posx, posy, culoare, marime):
self.posx = posx
self.posy = posy
self.culoare = culoare
self.Font = pygame.font.SysFont('timesnewroman', marime)
def draw(self, ecran, text):
txt = self.Font.rend... | Cosmin351/Snake | Text.py | Text.py | py | 465 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.font.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.font",
... |
33195056129 | import cv2
import numpy as np
from time import sleep
import datetime
def Rodar(cam=0, largura=None, altura=None, tamanho_font_letra=None, offset=None, ponto_y_init = None, ponto_y_final=None, ponto_x_init=None, ponto_x_final=None, sentido_detectar=None, cor_letra=None, posicao_letra_x = None, posicao_letra_y = None):
... | rnanc/MOBYDATA | services/counter.py | counter.py | py | 4,424 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.bgsegm.createBackgroundSubtractorMOG",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "cv2.bgsegm",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name... |
21334348523 | """
Source: https://www.youtube.com/watch?v=XfK1KajB8dI&list=PLcoE64orFoVsyzbvfgiY5iNKo30fJ4IWm&index=7&ab_channel=RocketMan
USe hooks to retrieve files that's the sensor sensed and o something with this files.
Maybe print its contents and then delete it and then reschedule a tag and this will
kind of happen all ove... | njsdias/airflow_own | first_dags/airflow_tests/airflow_home/dags/my_first_hook.py | my_first_hook.py | py | 2,040 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "airflow.utils.dates.days_ago",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "airflow.models.DAG",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "airflow.hooks.filesystem.FSHook",
"line_number": 36,
"usage_type": "call"
},
{
"a... |
32048161223 | # -*- coding: utf-8 -*-
from django.conf.urls import url
from . import views
app_name = 'mysql_account'
urlpatterns = [
url(r'^$', views.show_all(), name='show_all'),
url(r'^new_account/', views.new_account(), name='new_account')
]
| milespeng/django | bigdata/mysql_account/urls.py | urls.py | py | 242 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
}
] |
21169225518 | from os import system
from flask import Flask, render_template, jsonify
app = Flask(__name__)
@app.route('/')
def main():
return render_template('index.html')
@app.route('/crawl')
def start_crawler():
system('python -m scrapy crawl yy')
return jsonify({'result': 'Task created'})
if __name__ == '__main... | zeratul0097/auto_exp | auto_exp/flaskr/app.py | app.py | py | 339 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_n... |
29064391705 | import os
from PIL import Image
import io
def open_image(img_path:str, size:(int, int) = None) -> bytes:
with Image.open(img_path) as im:
if size:
im.thumbnail(size)
image_extension = os.path.splitext(img_path)[1][1:]
return get_image_bytes(im, image_extension)
def get_image_bytes(image:Image,... | Askodan/web_wycieczka | image_server/app/image_handler.py | image_handler.py | py | 452 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.path.splitext",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9... |
40124071039 | import json
#open and read vegetation data
crop = open('harvest-hero-a01de-default-rtdb-vegetation-export.json')
crop_data = json.load(crop)
#open and read recipe data
recipe = open('recipes.json')
recipe_data = json.load(recipe)
#make an id for vegetation data
id = 1
for crop in crop_data:
crop['id... | SteveHuy/Harvest-Hero | Database+APIs/id_crop_recipe.py | id_crop_recipe.py | py | 1,111 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 37,
"usage_type": "call"
}
] |
8372217683 | import json
import os
from botocore.exceptions import ClientError
from botocore.stub import Stubber
import pytest
from builder.authentication.ssm import fetch_credentials
def test_fetch_credentials(ssm):
os.environ.update({
"SECRET_NAME": "secret",
"AWS_DEFAULT_REGION": "us-east-1",
"AWS... | m1l0ai/m1l0_image_builder | tests/test_authentication_ssm.py | test_authentication_ssm.py | py | 1,784 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ.update",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "builder.authentication.s... |
41650734880 | import socket
import argparse
import json
import time
import logging
import sys
# uncomment to see detailed info
#logging.basicConfig(level=logging.INFO)
def peel_size(data,pos):
size = int.from_bytes(data[pos:pos+4],byteorder='big')
return (size,pos+4)
def peel_json(data,pos,size_left):
packet_size = len(data)
... | SocketsAndDragons/Server | dragon.py | dragon.py | py | 2,381 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "socket.recv",
"line_number": 6... |
22961416494 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import requests
# set period
date_from = '2018-01-01'
date_to = '2018-01-30'
# method which takes data from json.
def fetch_currency(currency,beg,end):
url = 'http://api.nbp.pl/api/exchangerates/rates/A/' + currency + "/" + date_from + "/" + d... | Pukala/SI | lab1.py | lab1.py | py | 1,237 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pandas.... |
33269413040 | from viola import viola
from writeOutSeparate import writeOutSeparate
from saveImg import saveImg
import cv2 as cv
roundName ="validationImageList.txt"
with open(roundName, "r") as readFiles:
for image in readFiles:
noLineBreak = image.rstrip()
[imageFolder,imageName] = noLineBreak.split('/')
... | lucasff57/Viola_x_Yolo | viola/predict.py | predict.py | py | 622 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "viola.viola",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "writeOutSeparate.writeOutSeparate",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "saveImg.save... |
72532278909 | import logging
from typing import cast
from fastapi import FastAPI
from servicelib.rabbitmq import (
RabbitMQClient,
RabbitMQRPCClient,
wait_till_rabbitmq_responsive,
)
from settings_library.rabbit import RabbitSettings
from ..core.errors import ConfigurationError
logger = logging.getLogger(__name__)
d... | ITISFoundation/osparc-simcore | services/director-v2/src/simcore_service_director_v2/modules/rabbitmq.py | rabbitmq.py | py | 1,732 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "settings_library.rabbit.RabbitSettings",
"line_number": 19,
"usage_type": "name"
},
{
"api_name... |
12881537312 | import cv2
import numpy as np
import multiprocessing
import threading
import time
import argparse
FRAME_QUEUE = multiprocessing.JoinableQueue()
RESULT_QUEUE = multiprocessing.Queue()
# defaults
NWORKERS = 2
PARALLEL_TYPE = 'thread'
FONT = cv2.FONT_HERSHEY_SIMPLEX
def process_frame(frame):
# Convert BGR to HSV
... | fzea01/deteccar_pp2 | ted.py | ted.py | py | 4,902 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "multiprocessing.JoinableQueue",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Queue",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 14,
"usage_type": "attribute"
},
{
"a... |
8692572472 | import re
import uuid
import colander
from unicore.comments.service.models import (
COMMENT_MAX_LENGTH,
COMMENT_CONTENT_TYPES,
COMMENT_MODERATION_STATES,
COMMENT_STREAM_STATES)
# ISO 639 3-letter code + ISO 3166-1 alpha-2
LOCALE_CODE_RE = re.compile(r'^[a-z]{3}_[A-Z]{2}$')
def known_uuid_validator... | universalcore/unicore.comments | unicore/comments/service/validators.py | validators.py | py | 1,566 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "colander.OneOf",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "uuid.UUID",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "colander.deferred",
"line_num... |
37935756154 | import os
import skimage.transform as trans
import skimage.io as io
import matplotlib.pyplot as plt
import numpy as np
def gen_labels(path):
images = gen_images(path)
img = images[150,0,:,:,:,0]
# labels(img)
# path = "data/RednBlue/Axial/Label"
# outpath = "test"
# img = io.imread(os.path.... | Phid13/IP2 | labels.py | labels.py | py | 1,823 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "skimage.io.imread",
"line_numbe... |
2620610280 | import os
import requests
import json
import base64
import io
import logging
import pandas as pd
from tqdm import tqdm
from nomeclature import WBNomenclature
from pymyskald import get_all_single_products_code_id_info, get_all_multi_product_info
class ImageFormatException(Exception):
pass
class Image:
CORRE... | skribl5000/MoiSkladImplementation | integrations/photo_update.py | photo_update.py | py | 5,120 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line... |
3336319745 | #!/usr/bin/env python
import json
import logging
from classes.backup import Backup
# read configuration
with open('./etc/backup.conf') as config_file:
config = json.load(config_file)
# logging
# Can't use logging object in the config file.
# So we need to transform loglevel in config to numeric level
numeric_leve... | Scolavisa/packup | packup.py | packup.py | py | 910 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "classes.backup.Backup",
... |
26249010689 | import asyncio
from ircrobots import Bot
from time import time
from .database import Database
async def check_expiry(bot: Bot, db: Database):
while True:
now = int(time())
wait = 10.0
if not bot.servers:
await asyncio.sleep(wait)
continue
server = l... | examknow/bans | bans/timers.py | timers.py | py | 1,092 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ircrobots.Bot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "database.Database",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "asyncio.sleep",
"line_num... |
321803461 | import os
from PIL import Image
class GraphTrendDataset(Dataset):
def __init__(self, **kwargs):
# load in the data
self.photos_path = kwargs['photos_path']
self.labels_path = kwargs['labels_path']
self.transform = kwargs['transform']
self.flip = kwargs.get('flip', True)
... | landmann/trend-detection | resnet-model/train_set_with_flips.py | train_set_with_flips.py | py | 1,479 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 35... |
36065544298 | import requests
from pprint import pprint
import os
from dotenv import load_dotenv
from flight_search import FlightSearch
load_dotenv() # take environment variables from.env
SHEETY_AUTH = os.getenv("sheety_authorization")
SHEETY_ENDPOINT = "https://api.sheety.co/7e5dc26de00c4f9595d05537d7febfae/flightDeals/prices"
f... | Shivam29k/Python_Projects | flight_deals_alert/data_manager.py | data_manager.py | py | 1,573 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flight_search.FlightSearch",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
20444907983 | '''
将影片OR摄影机画面定时拍照 -> JPG转binary -> 传到kafka
'''
import cv2 ,imutils , sys
import numpy as np
from confluent_kafka import Producer
# 要开启的影片或摄影机
cap = cv2.VideoCapture('../../Pyai0815/yolo/test2/VIDEO0014.mp4')
# 计数器
accum = 1
# 用来接收从Consumer instance发出的error讯息
def error_cb(err):
print('Error: %s' % err)
# 主程式进入... | hung0422/practice_test | Kafka_YOLO/camera_kafka2.py | camera_kafka2.py | py | 2,479 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "confluent_kafka.Producer",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "imutils.resize",... |
24352033520 | """ Dispersion module"""
import numpy as np
from numpy import pi, linspace, sqrt, sin, r_, conj, exp, \
diff,cumsum
from scipy.interpolate import UnivariateSpline as spline
from scipy.integrate import cumtrapz
from .units import *
class Dispersion():
def __init__(self, wl = None, n = No... | actionfarsi/farsilab | farsilab/dispersion.py | dispersion.py | py | 4,786 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.ones_like",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "numpy.pi",
"line_number":... |
33864893024 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
import bs4, pprint
#directory to find chrome webdriver
chrome_driver = r'C:\Users\Yan\Desktop\git\projects\scrappers\insta_scrapper\chromedriver_win32\chromedriver.exe'
#instance a chro... | nomadbitcoin/projects | scrappers/insta_scrapper/info_in_Publication.py | info_in_Publication.py | py | 3,639 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 14,
"usage_type": "name"
},
{... |
10128930138 | from django.urls import path
from . import views
app_name = 'face'
urlpatterns = [
path('upload/', views.FileUploadView.as_view()),
path('index/', views.index, name='index'),
path('result/', views.send, name='send'),
path('train/', views.FileTrainView.as_view(), name='train'),
path('face/', views.... | Shahin-Sefidgaran/similarity-to-celebrity-with-facial-landmarks | face/urls.py | urls.py | py | 364 | python | en | code | 0 | github-code | 6 | [
{
"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",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
434952997 | import numpy as np
from tkinter import *
from lightfm.datasets import fetch_movielens
from lightfm import LightFM
from sklearn.metrics.pairwise import cosine_similarity
import pandas as pd
import importlib
import time
#----------------------------------------------------------------------------------------------------... | sandersona3/CS4319_RecSys4 | recSys4.py | recSys4.py | py | 9,850 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "lightfm.datasets.fetch_movielens",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "lightfm.LightFM",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.a... |
3951436710 | from django.conf.urls import url, include
from . import views
from django.contrib.auth.views import login
urlpatterns = [
url(r'^$', login, {'template_name': 'accounts/login.html'}),
url(r'^login/$', login, {'template_name': 'accounts/login.html'}),
url(r'^logout/$', views.logout, name="logout"),
url(r... | pratik151192/FairnessApp | accounts/urls.py | urls.py | py | 525 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.views.login",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_na... |
1245186307 | from pathlib import Path
from tkinter import *
from tkinter import Tk, Button, messagebox
from requests import get
from os import path, remove
from pygame import mixer
from PIL import ImageTk, Image
from threading import Thread
from random import shuffle
from re import sub
from yt_dlp import YoutubeDL
from mutagen.mp3 ... | GaGa-Team/SpautiNoFay | main.py | main.py | py | 17,623 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "tkinter.Tk",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number"... |
30520173925 | import task_A
from langdetect import detect_langs
# how likely is a string of text english
def english_prob(text) -> float:
try:
detected_languages = detect_langs(text)
for lang in detected_languages:
if lang.lang == 'en':
return lang.prob
return 0.0
except ... | mhaneman/CSC323_PROJ_1 | src/task_B.py | task_B.py | py | 905 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "langdetect.detect_langs",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "task_A.XOR_hex",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "task_A.bytes_to_ascii",
"line_number": 27,
"usage_type": "call"
}
] |
5722739800 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 10 14:21:20 2019
@author: siddharth
"""
from argparse import ArgumentParser
import os,random,evaluate
from utils import list_files
TMP_DIR = '.fast_neural_style_frames_%s/' % random.randint(0,99999)
DEVICE = '/gpu:0'
BATCH_SIZE = 4
def build_par... | slickFix/Video_style_transfer | transform_video.py | transform_video.py | py | 2,086 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
71145092669 | import datetime
from django.dispatch import Signal
from fractal.core.event_sourcing.event import SendingEvent
from fractal.core.event_sourcing.event_projector import EventProjector
from fractal.core.event_sourcing.message import Message
fractal_event_signal = Signal(providing_args=["message"])
class DjangoSignalEv... | douwevandermeij/fractal | fractal/contrib/django/projectors.py | projectors.py | py | 778 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "django.dispatch.Signal",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "fractal.core.event_sourcing.event_projector.EventProjector",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "fractal.core.event_sourcing.event.SendingEvent",
"line_numbe... |
27107031918 | import importlib
import inspect
import times
from uuid import uuid4
from cPickle import loads, dumps, UnpicklingError
from .local import LocalStack
from .connections import resolve_connection
from .exceptions import UnpickleError, NoSuchJobError
def enum(name, *sequential, **named):
values = dict(zip(sequential, ... | SteelHouseLabs/vFense | python/python-2.7.5/lib/python2.7/site-packages/rq/job.py | job.py | py | 14,834 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "cPickle.loads",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cPickle.UnpicklingError",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "exceptions.UnpickleError",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "queue.... |
16375683180 | import asyncio
import datetime
import logging
import os
from sanic import Sanic
from sanic.exceptions import SanicException
from sanic.response import json
STARTED = datetime.datetime.utcnow().isoformat()
DIR = os.path.dirname(os.path.realpath(__file__))
app = Sanic()
app.config.REQUEST_MAX_SIZE = 100000 # 100 KB
a... | tcolgate/gracetests | python/graceful/main.py | main.py | py | 1,575 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.pa... |
10909603220 | import pytest
from tinkoff.invest.schemas import FuturesResponse
from bot.scanner.scanner import ResponseFilter
def test_response_filter_raises_errors(futures_response):
with pytest.raises(KeyError):
ResponseFilter(futures_response.instruments)
with pytest.raises(ValueError):
ResponseFilter(F... | holohup/trademan-1.0-alpha-public | tests/bot_tests/spread_yield_tests/test_filters.py | test_filters.py | py | 580 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pytest.raises",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bot.scanner.scanner.ResponseFilter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bot.scan... |
21109060906 | from __future__ import annotations
import datetime
import itertools
import json
import math
import re
import time
from dataclasses import dataclass
from pathlib import Path
from typing import Callable, List, Optional, Tuple
from osh.history import Event
from osh.osh_files import (
OshFileChangedMuch,
OshFileR... | dkuettel/one-shell-history | python/osh/sources.py | sources.py | py | 3,093 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "math.inf",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number"... |
30906447171 | from scripts.python.get_floorplan_link import get_floorplan
import cv2
import requests
from pytesseract import pytesseract
def get_floorplan_text(rightmove_link: str):
floorplan_link = get_floorplan(rightmove_link)
try:
if len(floorplan_link) == 0:
return 0
config = ('-l eng --o... | GregorMonsonFD/holmly_sourcing_legacy | scripts/python/extract_text.py | extract_text.py | py | 848 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scripts.python.get_floorplan_link.get_floorplan",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 21,
"usage_type": "call"
},
{
"api_name":... |
73512910589 | import os
from dotenv import load_dotenv
import openai
import logging
# Import functions from the separate files
from utils.external_files_loading import loadweb_document
from utils.text_splitter import split_document
from embeddings_utils.embeddings_manager import manage_embeddings
from utils.chat_setup import setup_... | omdivyatej/advanced_finance_ai | main_app/main.py | main.py | py | 1,803 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig"... |
24747355919 | # -*- coding: utf-8 -*-
from django.conf.urls import patterns, include, url
from django.conf import settings
# Uncomment the next two lines to enable the admin:
# from django.contrib import admin
# admin.autodiscover()
urlpatterns = patterns('',
url(r'^$', 'www.misc.views.show_index_... | lantianlz/zx | www/urls.py | urls.py | py | 3,959 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "d... |
31030926846 | #!/usr/bin/env python3
import time
import requests
import csv
import os
from argparse import ArgumentParser
from math import sqrt
def get_voltages_pi():
IP_pi = '130.60.164.209'
return requests.get('http://%s:8080/read' % IP_pi).json()
def get_average(measurements):
n = len(measurements)
return sum(me... | fstaeg/croc_tools | probecard_readout.py | probecard_readout.py | py | 4,249 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line... |
22553397341 | from pyfirmata import Arduino, util
import time
carte = Arduino ('/dev/ttyACM0')
acquisition = util.Iterator (carte)
acquisition.start ()
sortie = carte.get_pin ('d:10:o')
time.sleep (1.0)
sortie.write (True)
time.sleep (4)
sortie.write (False)
carte.exit () | PsychoLeo/Arduino | self/led_light.py | led_light.py | py | 262 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyfirmata.Arduino",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyfirmata.util.Iterator",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyfirmata.util",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "time.sleep",
... |
19882762540 | from pathlib import Path
from collections import defaultdict
from typing import Dict, Tuple, Set, Optional, Union, AsyncIterator, NoReturn, Pattern
import trio
from trio import lowlevel
from pendulum import DateTime
from structlog import get_logger
from async_generator import asynccontextmanager
from guardata.client.... | bitlogik/guardata | guardata/client/fs/storage/workspace_storage.py | workspace_storage.py | py | 14,104 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "structlog.get_logger",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "guardata.client.types.LocalDevice",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "g... |
16654410150 | import sys
import argparse
from time import sleep
from axiom_tc import axiom
from axiom_tc import u06_SelfTest
from axiom_tc import u07_LiveView
def init_axiom_comms(args):
# Import the requested comms layer
if args.i == "i2c":
if args.i2c_bus == None or args.i2c_address == None:
print("Th... | TouchNetix/axexamples | SelfTest/selftest_02.py | selftest_02.py | py | 3,525 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.exit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "axiom_tc.I2C_Comms.I2C_Comms",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "axiom_tc.SPI_Comms.SPI... |
73439299068 | from pathlib import Path
import time
from utils.logging import get_logger_for_module
from data_models import NavigatorData, MontageData
LOG = get_logger_for_module(__name__)
class NavigatorProcessor():
processors_by_session = {}
tracking_interval = 60
@classmethod
def for_session(cls, session):
... | zruan/hotspur_command | processors/navigator_processor.py | navigator_processor.py | py | 7,652 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.logging.get_logger_for_module",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "data_models.NavigatorData.fetch_all",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "data_models.NavigatorData",
"line_number": 34,
"usage_type": "name... |
40421485581 | from browser import bind, document
from scripts.form import form
from scripts.query import get_query_string
inputs = [
{'name': 'nome', 'type': 'text', 'label': 'nome'},
{'name': 'email', 'type': 'email', 'label': 'email'},
{'name': 'senha', 'type': 'password', 'label': 'senha', 'required': True},
{
... | dunossauro/curso-python-selenium-pages | paginas/exercicios/exercicio_07.py | exercicio_07.py | py | 1,201 | python | pt | code | 13 | github-code | 6 | [
{
"api_name": "scripts.query.get_query_string",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "scripts.form.form",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "browser.document",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "bro... |
7161749854 | """
Given a sorted integer array arr, two integers k and x, return the k closest integers to x in the array. The result should also be sorted in ascending order.
An integer a is closer to x than an integer b if:
|a - x| < |b - x|, or
|a - x| == |b - x| and a < b
Example 1:
Input: arr = [1,2,3,4,5], k = 4,... | CompetitiveCodingLeetcode/LeetcodeEasy | JulyLeetcodeChallenge/FindKClosestElementsQ658.py | FindKClosestElementsQ658.py | py | 3,194 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 62,
"usage_type": "name"
}
] |
34181360702 | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 9 15:47:20 2020
@author: Kollarlab
"""
import userfuncs
import matplotlib.pyplot as plt
import numpy as np
import os
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
saveDir = r'Z:\Data\HouckTaTransmon\20201109'
stamp = userfuncs.timestamp()
name = 'cavity... | MRitter95/Kollar-Lab | Old_scripts_delete_20220804/Scripts/legacycode/TransSweep.py | TransSweep.py | py | 1,826 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "userfuncs.timestamp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.f... |
16629861210 | import multiprocessing
import time
import numpy as np
import pandas as pd
from gensim.models import Word2Vec
from sa_logic.models import ClassifierModels
from sa_logic.support import Support
from sa_root import ROOT_DIR_DATA_EMBEDDING
from sklearn.model_selection import train_test_split, cross_val_score, cross_val_pred... | EdwinPuertas/DomainSentimentAnalysis | sa_logic/bank2vec_sa.py | bank2vec_sa.py | py | 5,099 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sa_logic.support.Support",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sa_root.ROOT_DIR_DATA_EMBEDDING",
"line_number": 17,
"usage_type": "name"
},
{
"... |
38075262195 | import os
import argparse
import json
import time
import numpy as np
import torch
torch.backends.cudnn.enabled = True
import torch.nn as nn
import torch.nn.functional as F
from configs.config import cfg, merge_cfg_from_file
from datasets.datasets import create_dataset
from models.modules import AddSpatialInfo, Change... | Holipori/EKAID | model/test_mimic.py | test_mimic.py | py | 5,982 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "torch.backends",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "configs.config.merge_cfg_from_file",
"line_number": 32,
"usage_type": "call"
},
{
"api... |
5484841507 | import numpy as np
import uproot
import ROOT
import sys
sys.path.append('../utils')
import utils as utils
ROOT.gROOT.SetBatch(True)
df1 = uproot.open("/data/shared/hyp_run_3/mc/AO2D_MC.root")["O2mchypcands"].arrays(library="pd")
df2 = df1.copy(deep=True)
df1.query("fIsReco > 0", inplace=True)
df2.query("fIsReco > 0",... | lbariogl/HyperRoutine | resolution/calibrate_he3_momentum.py | calibrate_he3_momentum.py | py | 5,804 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "ROOT.gROOT.SetBatch",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ROOT.gROOT",
"line... |
26731615587 | #!/usr/bin/env python
import os
import sys
import shutil
import argparse
import errno
def split_all(path):
tails=[]
while True:
head, tail = os.path.split(path)
if tail:
tails.append(tail)
path = head
else:
if head:
tails.append(head)... | pmop/cppstats | cppstats/link_or_copy_file.py | link_or_copy_file.py | py | 6,532 | python | en | code | null | github-code | 6 | [
{
"api_name": "os.path.split",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
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