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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
33722453713 | import secrets
from datetime import datetime
from typing import List
from app import models, schemas
from app.database import SessionLocal, engine
from app.dependencies import get_token_header
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
models.Base.metadata.create_all(bind... | madatbay/jopen | api/app/routers/boards.py | boards.py | py | 1,902 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "app.models.Base.metadata.create_all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "app.models.Base",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "app.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "a... |
74946002292 | import pygame as pg
from Space import DIMENSIONS, FPS
from pygame.locals import *
from pygame.sprite import Sprite
class Background(Sprite):
backgroundList = ["fondo1.png", "fondo2.png", "fondo3.png"]
def __init__(self, x, y):
pg.sprite.Sprite.__init__(self)
self.background = pg.image.load("... | Bitos88/ProyectoInvaders | Space/background.py | background.py | py | 959 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.sprite.Sprite",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "... |
72262090933 | """
Author: David Walshe
Date: 12 February 2021
"""
import logging
from collections import namedtuple
import click
from click.core import Context
from src.cli.config import GROUP_CONTEXT_SETTINGS
from src.cli.utils import kwargs_to_namedtuple
from src.cli.validators import convert_bool_to_lower
# Commands... | DavidWalshe93/isic_cli | src/cli/commands/image/image.py | image.py | py | 2,707 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "click.core.Context",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "src.api.i... |
18205602890 | import os
from dotenv import load_dotenv
import requests
import json
load_dotenv()
def handleError(error):
print(error)
pass
def checkRepoURL():
if "GITHUB_REPO" in os.environ and os.environ["GITHUB_REPO"] != "":
return True
return False
def getRepoURL():
if checkRepoURL():
re... | SocioDroid/leetcode-py-cli | src/config.py | config.py | py | 3,419 | python | en | code | 18 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"l... |
1041170364 | # -*- coding: utf-8 -*-
#Author: Andrea Urgolo
import numpy as np
import os.path
import pandas as pd
import random
import gc
from scipy.sparse import csr_matrix
from sklearn import preprocessing
class DataManager:
""" Dataset manager: contains all function to manipulate and query the dataset """
... | AndreaUrgolo/machinelearningwebservices | duration_prediction/ws/duration_prediction/model_api/libs/io/data_manager.py | data_manager.py | py | 8,471 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.path.isfile",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "pandas.read_hdf",
"... |
4237237282 | from django.conf.urls import patterns, url
from .views import MailParticipantsView, MailParticipantsCountView
urlpatterns = patterns('',
url(r'^participants/mail/$', MailParticipantsView.as_view(),
name='mail_participants'),
url(r'^participants/count/$', MailParticipantsCountView.as_view(),
na... | 596acres/livinglots-philly | livinglotsphilly/extraadmin/urls.py | urls.py | py | 353 | python | en | code | 3 | github-code | 21 | [
{
"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": "views.MailParticipantsView.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"ap... |
25064129194 | import os
from flask import Flask
from flask import jsonify
import logging
import auth
import ssl_cert
app = Flask(__name__, instance_relative_config=True)
app.config.from_mapping(
SECRET_KEY='dev',
)
# ensure the instance folder exists
try:
os.makedirs(app.instance_path)
except OSError:
pass
# Save lo... | appseclabepfl/project | webserver/login_server/app.py | app.py | py | 720 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.FileHandler",
"... |
24649387681 | # -*- coding: utf-8 -*-
#=======================================================================
# General Documentation
""" Testing suite for Car objects move function.
Tests the cars ability to move and animates the movement
"""
#-------------------------------------------------... | awsirkis/I_405_ETL | car_move_test.py | car_move_test.py | py | 11,378 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.size",
"line_number": 145,
"usage_type": "call"
},
{
"api_name": "numpy.size",
"line_number": 164,
"usage_type": "call"
},
{
"api_name": "numpy.size",
"line_number": 181,
"usage_type": "call"
},
{
"api_name": "numpy.size",
"line_number": 1... |
28404186521 | from dataset import SplitImages
import os
import glob
import torch
import torchvision
from tqdm.auto import tqdm
import argparse
from torch.utils.data import Dataset, DataLoader
class Tedd1104Dataset(Dataset):
"""TEDD1104 dataset."""
def __init__(
self,
dataset_dir: str,
):
self.... | ikergarcia1996/Self-Driving-Car-in-Video-Games | calculate_mean_std.py | calculate_mean_std.py | py | 3,198 | python | en | code | 721 | github-code | 21 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 21,
"usage_type": "attribute"
},
{
... |
41198676478 | import psycopg2
class data_base:
def __init__(self):
self.connection = psycopg2.connect(
host = 'localhost',
database = 'bd_superheroes',
user = 'postgres',
password = 'Contrato455'
)
self.cursor = self.connection.cursor()
print('co... | AlexisPiracoca/software_construction | bases_de_datos/bd_superheroes/conection.py | conection.py | py | 739 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "psycopg2.connect",
"line_number": 5,
"usage_type": "call"
}
] |
37443191776 | """
Experiments for CartPole
"""
import gym
import sys
import numpy as np
from tqdm import tqdm
from matplotlib import pyplot as plt
from Cartpole.agents import QLearningAgent, PolicyGradientAgent
from AgentUtils.plots import plot_running_avg
sys.path.insert(0, "../Cartpole")
def main():
env = gym.make("CartPole-... | zhiyong9654/rl-learning | Simulation/CartPole.py | CartPole.py | py | 957 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.insert",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "gym.make",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Cartpole.agents.PolicyGradient... |
16776583606 | import time
from mininet.node import RemoteController, OVSSwitch
import networkx as nx
from matplotlib import pyplot as plt
from mininet.net import Mininet
from mininet.topo import Topo
class MininetTopoFromNxGraph(Topo):
"""Construct a mininet topology from a nx graph."""
def build(self, G: nx.... | andi-ra/Testi_Mininet | topology-mininet-develop/mininet_files/mininet_driver_topology.py | mininet_driver_topology.py | py | 1,878 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "mininet.topo.Topo",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "networkx.Graph",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "networkx.erdos_renyi_graph",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "netw... |
20898669665 | from __future__ import print_function
import os
import tempfile
import copy
import numpy as np
from pdbparser import pdbparser
from pdbparser.log import Logger
from pdbparser.Utilities.Database import __ATOM__
from pdbparser.Utilities.Collection import get_path
from pdbparser.Utilities.Simulate import Simulation
at1... | bachiraoun/pdbparser | Examples/simulationDihedral.py | simulationDihedral.py | py | 3,402 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "copy.deepcopy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pdbparser.Utilities.Database.__ATOM__",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "copy.deepcopy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": ... |
23511829723 | import librosa
import noisereduce as nr
import os
import numpy as np
"""
Script that preprocesses wav files to npy files usable for the ML models
This script does not use the STFT and is meant to be used for the ALTclassificationCONV.py models.
"""
def save_audionpy(file, name, activity, subject):
# read audio ... | 99EnriqueD/Bachelor-Thesis-Audio-Recognition | ALTpreprocessing.py | ALTpreprocessing.py | py | 1,318 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "librosa.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "noisereduce.reduce_noise",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "librosa.effects.trim",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "librosa.ef... |
23478567793 | import collections
import sys
input = sys.stdin.readline
testCase = int(input())
for _ in range(testCase) :
P = input().rstrip() # order
# order 간소화, R이 짝수개가 들어오는 것은 의미없음
P = P.replace('RR','')
length = int(input())
arr = input().rstrip() # array
if arr == '[]' : queue = []
... | FWWKCS/Coding-Test | 백준/Gold/5430. AC/AC.py | AC.py | py | 1,398 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 16,
"usage_type": "call"
}
] |
27738128985 | from time import sleep
from log import get_log_channel
from workers.redis_pub_sub import publish
from .helpers.api import OpenCaseAPI
from .last_item_info import LastItemInfo
from config import settings_app
_log = get_log_channel('Observer')
class Observer:
WAITING_TIME = settings_app.OBSERVER_WAITING_TIME
... | dimadeck/steam-open-case-calculator | src/core/observer.py | observer.py | py | 1,615 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "log.get_log_channel",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.settings_app.OBSERVER_WAITING_TIME",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "config.settings_app",
"line_number": 13,
"usage_type": "name"
},
{
... |
7329152870 | import numpy as np
from collections import defaultdict
import copy
try:
from tqdm import tqdm
except ImportError:
tqdm = None
class CollapsedGibbs(object):
def fit(self,
corpus,
num_topics,
vocab_size,
burn_in = 10,
lag = 20,
num_samp... | aleveren/ucsd-research | simple-hier-topic-model/lda_collapsed_gibbs.py | lda_collapsed_gibbs.py | py | 5,183 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tqdm.tqdm",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.broadcast_to",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.broadcast_to",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"lin... |
14170022022 | import os
import ctypes
import copy
from typing import List
import keys
class ICueException(RuntimeError):
pass
class led_color_t(ctypes.Structure):
led_id: ctypes.c_int
r: ctypes.c_int
g: ctypes.c_int
b: ctypes.c_int
_fields_ = [
('led_id', ctypes.c_int),
('r', ctypes.c_int... | eliphatfs/kbdmania | icue.py | icue.py | py | 4,158 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "ctypes.Structure",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "ctypes.c_int",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "ctypes.c_int",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "ctypes.c_in... |
34196469287 | import time
from collections import namedtuple
from threading import Thread
from cflib.crazyflie import Crazyflie
from cflib.crazyflie.log import LogConfig
from cflib.crazyflie.syncCrazyflie import SyncCrazyflie
from cflib.crazyflie.syncLogger import SyncLogger
SwarmPosition = namedtuple('SwarmPosition', 'x y z')
c... | bitcraze/crazyflie-lib-python | cflib/crazyflie/swarm.py | swarm.py | py | 8,895 | python | en | code | 227 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cflib.crazyflie.syncCrazyflie.SyncCrazyflie",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cflib.crazyflie.Crazyflie",
"line_number": 33,
"usage_type": "call"
... |
13186095165 | from abc import abstractclassmethod
from base64 import encode
from io import BytesIO
from random import randint
import time
from typing import List, Tuple
from src.block.block import Block
from src.helper.helper import encode_varint, int_to_little_endian, little_endian_to_int, read_varint
TX_DATA_TYPE = 1
BLOCK_DATA_... | euidong/bitcoin | src/network/messages.py | messages.py | py | 7,605 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "abc.abstractclassmethod",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "src.helper.helper.int_to_little_endian",
"line_number": 50,
"usage_type": "call"
},
{
"api_name... |
73786562611 | from sklearn.cluster import KMeans
import numpy as np
import math
def kmeans(data, k, index=None):
"""
:param data: (n_samples, n_features)
:param k: cluster number
:return: 聚类结果及集群失真
"""
model = KMeans(n_clusters=k, random_state=0)
model.fit(data)
labels = model.labels_
centers = ... | RingBDStack/SR-MARL | src/clusters/xmeans.py | xmeans.py | py | 3,957 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "sklearn.cluster.KMeans",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "math.log",
"line_num... |
3508734175 | import logging as _logging
import signal as _signal
import threading as _threading
_OK_HANDLERS = set((
_signal.SIG_DFL,
_signal.SIG_IGN,
_signal.default_int_handler,
))
# Only manipulated on the main thread, so it doesn't need a lock.
_PREV_HANDLERS = {}
_SET_SIGNALS_LOCK = _threading.Lock()
_SET_SIGNAL... | sunny-bay/chromium30 | commit-queue/sig_handler.py | sig_handler.py | py | 1,086 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "signal.SIG_DFL",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "signal.SIG_IGN",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "signal.default_int_handler",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "... |
27030965649 | from http.server import HTTPServer, BaseHTTPRequestHandler
# запускаем сервер на нашей машине (либо 127.0.0.1)
APP_HOST = 'localhost'
# порт на котором будет работать сервер
APP_PORT = 8000
class SimpleGetHandler(BaseHTTPRequestHandler):
# какие заголовки должны быть в запросе
def _set_headers(self):
... | StasBobov/Django_Skillbox | Lesson1/simple_http_server.py | simple_http_server.py | py | 1,620 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "http.server.HTTPServer",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 37,
"usage_type": "name"
}... |
74155544 | from wtforms.fields import SubmitField, StringField, SelectField
from wtforms.validators import DataRequired,Email,Regexp
from wtforms_tornado import Form
from data.user_module import Role
role_list = Role.role_list()
print(role_list)
class AdminForm(Form):
"""添加管理员表单"""
name = StringField(
label="管理员... | yishuifengxing/yishuifengxing_weblog_master | files/account/admin_form.py | admin_form.py | py | 2,413 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "data.user_module.Role.role_list",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "data.user_module.Role",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "wtforms_tornado.Form",
"line_number": 9,
"usage_type": "name"
},
{
"api_name"... |
27717865221 | from thinc.types import Floats2d, Floats1d
from typing import List
from thinc.api import Model, chain, with_array
from spacy.tokens import Doc
from numpy import float32
def build_finder_model(
tok2vec: Model[List[Doc], List[Floats2d]], scorer: Model[Floats2d, Floats2d]
) -> Model[List[Doc], Floats2d]:
logist... | Lance-Owen/nlp_project | test_code/span_finder_model.py | span_finder_model.py | py | 1,321 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "thinc.api.Model",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "spacy.tokens.Doc",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "thinc.types.Floats2d",
... |
30048728702 | import os
from xml.etree import ElementTree
from PyQt5 import QtWidgets, QtCore, QtGui
import globals_
from levelitems import SpriteItem, ListWidgetItem_SortsByOther
from ui import GetIcon
from dirty import SetDirty
import common
class DualBox(QtWidgets.QWidget):
"""
A dualbox widget for the sprite data
... | NSMBW-Community/Reggie-Next | spriteeditor.py | spriteeditor.py | py | 84,893 | python | en | code | 39 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "... |
33249842323 | import requests
from graia.saya import Channel
from graia.ariadne.app import Ariadne
from graia.ariadne.model import Group, Member
from graia.ariadne.message.chain import MessageChain
from graia.ariadne.message.element import Image
from graia.ariadne.event.message import GroupMessage
from graia.broadcast.exceptions im... | mikezom/bigbedbot-py | libs/function/usr_cmd/four_chan_pic.py | four_chan_pic.py | py | 1,444 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "graia.saya.Channel.current",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "graia.saya.Channel",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "graia.ariadne.app.Ariadne",
"line_number": 26,
"usage_type": "name"
},
{
"api_name"... |
37947340727 | from django.shortcuts import render, HttpResponse
import razorpay
from shop.settings import KEY,SECRET
from basket.basket import Basket
def index(request):
basket = Basket(request)
total = str(basket.get_total_price())
total = total.replace('.', '')
total = int(total)
order_currency =... | allenkiakshay/Ecommerce-store-project | pay/views.py | views.py | py | 795 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "basket.basket",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "basket.basket.Basket",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "basket.basket.get_total_price",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "basket... |
9680885285 | from collections import defaultdict
import os
from data.dfov_dataset import DfovDataset, get_params, get_transform
from PIL import Image
from glob import glob
import numpy as np
import torchvision.transforms as transforms
import data.cityscapes_labels as cityscapes_labels
import torch
class FocalensDataset(DfovDataset... | wecam-skku/Learning-Camera-Parameters-With-Weighted-Edge-Attention-From-Single-View-Images | data/focalens_dataset.py | focalens_dataset.py | py | 5,321 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "data.dfov_dataset.DfovDataset",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "data.dfov_dataset.DfovDataset.modify_commandline_options",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "data.dfov_dataset.DfovDataset",
"line_number": 15,
... |
34191920497 | import logging
import cfclient
from cflib.crazyflie.mem import MemoryElement
from PyQt6 import QtWidgets
from PyQt6 import uic
from PyQt6.QtCore import pyqtSignal
__author__ = 'Bitcraze AB'
__all__ = ['Cf2ConfigDialog']
logger = logging.getLogger(__name__)
service_dialog_class = uic.loadUiType(cfclient.module_path... | bitcraze/crazyflie-clients-python | src/cfclient/ui/dialogs/cf2config.py | cf2config.py | py | 2,969 | python | en | code | 287 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQt6.uic.loadUiType",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PyQt6.uic",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "cfclient.module_path... |
31851300471 | from app.routes_api.routes import router_bakeshop
from fastapi import FastAPI
from fastapi.responses import RedirectResponse
import uvicorn
from fastapi.middleware.cors import CORSMiddleware
# Configurando o FAST-API
metadata = [{
"name": "API - Roleta Bakeshop",
"description": "Backend game roleta bakeshop "... | Juanlimalf/backend_bake | main.py | main.py | py | 883 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "app.routes_api.routes",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.routes_api.routes.add_middleware",
"line_number": 19,
"usage_type": "call"
},
{
"api_na... |
73694956531 | from django.db import models
# from django.core.exceptions import ValidationError
class User(models.Model):
first_name = models.CharField(max_length=200)
last_name = models.CharField(max_length=200)
email = models.EmailField()
age = models.IntegerField(blank=True)
created_at = models.DateTimeField(... | jawang94/python_repo | django/users/apps/user_login/models.py | models.py | py | 578 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
20677987268 | from prob1_lru_cache import LRU_Cache
import itertools
def test_empty_cache():
print("Testing empty cache...")
lru_cache = LRU_Cache(5)
print(lru_cache.get_value(1)) # Returns -1 because the cache is empty, or rather, 1 is not present in the cache.
def test_small_cache():
print("Testing small cache... | mehmetalici/Udacity-Data-Structures-and-Algorithms | data-structures/prob1_lru_cache_test.py | prob1_lru_cache_test.py | py | 1,696 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "prob1_lru_cache.LRU_Cache",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "prob1_lru_cache.LRU_Cache",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "prob1_lru_cache.LRU_Cache",
"line_number": 34,
"usage_type": "call"
},
{
"api_... |
37950221718 | #!/usr/bin/env python
import sys
import subprocess
import re
import os.path
import yaml
try:
from yaml import CLoader as Loader, CDumper as Dumper
except ImportError:
from yaml import Loader, Dumper
root = os.path.dirname(__file__)
servers_yaml_path = os.path.join(root, "servers.yaml")
serve... | Dinosauriel/watchcat | watchcat.py | watchcat.py | py | 2,308 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.path.path.join",
... |
35721454672 | # -*- coding: utf-8 -*-
'''
数据 预处理(preprocessing)：
缺失值填充
类别标签处理
标签类别化 LabelEncoder
独热编码 OneHotEncoder
特征过程：
生成多项式特征PolynomialFeatures 原始特征：(x1,x2) 转化后(1,x1,x2,x1^2,x2^2,x1x2,x2^2)
'''
import pandas as pd
from sklearn import preprocessing
import datetime
# train_all = pd.read_csv("../../data//dataset/feature/train_... | lytforgood/Customer_Flow_Forecasts | python/preprocessing.py | preprocessing.py | py | 4,388 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 24,
"usage_type": "name"
},
{
"api_name... |
15224757577 | import os
from unittest import mock
import pytest
import requests
from datetime import datetime
from json import dumps
from apprise import Apprise
from apprise.plugins.NotifyOffice365 import NotifyOffice365
from helpers import AppriseURLTester
# Disable logging for a cleaner testing output
import logging
logging.disa... | caronc/apprise | test/test_plugin_office365.py | test_plugin_office365.py | py | 10,964 | python | en | code | 8,936 | github-code | 21 | [
{
"api_name": "logging.disable",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.CRITICAL",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
72363889973 | from collections import defaultdict
class Graph(object):
def __init__(self):
self.nodes = dict()
self.edges = defaultdict(set)
def add_connection(self, connection):
for n in connection.first:
self.nodes[n] = n
for n in connection.second:
self.nodes[n] =... | jwg4/pyvirgo | virgo/graph.py | graph.py | py | 2,650 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 65,
"usage_type": "call"
}
] |
12224527858 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.ticker import PercentFormatter, ScalarFormatter
# https://matplotlib.org/stable/gallery/lines_bars_and_markers/bar_label_demo.html
def plot_mean_abv(brewery_count_abv: pd.DataFrame) -> None:
x_label = list(brewery_count_ab... | patrick-bedkowski/BeerAdvocate-Data-analysis | plotter.py | plotter.py | py | 3,449 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotl... |
21449700025 | # history:
# 2020/4/18 v1.0 initial
# 2020/4/21 v1.1 MAX_BUS_NUM = 16; header first line delete a '/'
# 2020/4/24 v1.2 add AIO, DIO pin type
# 2020/10/4 v2.0 add verilog output function
# 2022/4/20 v3.0 change verilog format, and power info
import os
import sys
import re
import msvcrt
import datet... | socrates77-sh/toolkit | genlib/genlib.py | genlib.py | py | 13,429 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "myform.Ui_Form",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtW... |
21163354814 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import re
import os
import time
import asyncio
import subprocess
import ntplib
from datetime import datetime
from config.configure import Configure as CFG
class NTPDaemon:
def __init__(self, ):
self.chk = re.compile(r'(0\.\d+)')
self.date_chk = re.co... | havah-project/havah-chain-node-docker | ctx/manager/ntp.py | ntp.py | py | 4,145 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "config.configure.Configure",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"lin... |
4053905717 | from typing import Callable
from typing import Tuple
from urllib.parse import parse_qs
import sentry_sdk
from framework.dirs import DIR_SRC
from framework.util.settings import get_setting
from tasks.lesson03 import task303
sentry_sdk.init(get_setting("SENTRY_DSN"), traces_sample_rate=1.0)
ResponseT = Tuple[str, str... | Mono20i06/tm123 | src/main/wsgi.py | wsgi.py | py | 2,313 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sentry_sdk.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "framework.util.settings.get_setting",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "urll... |
38591359094 | from datetime import datetime, timedelta
import pandas as pd
from utils.constants import *
def kelvin_to_celsius(kelvin):
celsius = kelvin - 273.15
return celsius
def transform_load_data(task_instance):
data = task_instance.xcom_pull(task_ids="extract_weather_data")
city = data["name"]
weathe... | Ming5499/Weatherapi-project | etls/weather_etl.py | weather_etl.py | py | 2,125 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 23,
"usage_type": "call"
},
... |
74437710774 | from paddle.fluid.optimizer import Optimizer
from paddle.fluid import framework
from paddle.fluid.framework import Variable
from paddle.fluid import core
class AdamOptimizer(Optimizer):
_moment1_acc_str = "moment1"
_moment2_acc_str = "moment2"
_beta1_pow_acc_str = "beta1_pow_acc"
_beta2_pow_acc_str = ... | chfhf/dmr-paddle | paddtf/train/adam.py | adam.py | py | 4,035 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "paddle.fluid.optimizer.Optimizer",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "paddle.fluid.framework.Block",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "paddle.fluid.framework",
"line_number": 38,
"usage_type": "name"
},
... |
7482103504 | # Humanoid task
# Libraries to be imported
import gym
import numpy as np
import tensorflow as tf
from numpy import floor, log, eye, zeros, array, sqrt, sum, dot, tile, outer, real
from numpy import exp, diag, power, ravel
from numpy.linalg import eig, norm
from numpy.random import randn
import math
import random
impor... | PaoloP84/EfficacyModernES | modern_es.py | modern_es.py | py | 53,673 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tensorflow.get_default_... |
20583240090 | from PIL import Image, ImageDraw, ImageFont
IMAGE_FILE = '/home/shinobu/Downloads/sample.jpg'
def resize():
image_file = Image.open(IMAGE_FILE, 'r')
resized_image = image_file.resize((100, 100))
resized_image.save(
'/tmp/resized_image0.jpg',
quality = 100,
optimize = True)
image_file.thumbnail((1... | shinobu-x/cpp | Archives/deep_learning/basic_test/images0.py | images0.py | py | 901 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "PIL.Image.open",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PIL.Image.ANTIALIAS",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line... |
42748754007 | import VoiceRecorder
import VoiceVad
import ExtractFeatures
import sys
import argparse
import time
def check_args(args=None):
parser = argparse.ArgumentParser(description="Extract Voice Features")
parser.add_argument('-D', '--duration',
help="Voice recording duration",
... | hndr91/VoiceIdentification | main.py | main.py | py | 2,033 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "VoiceRecorder.voice_rec... |
20753223877 | from datetime import datetime
# from Challege.project_tugas import kembali
# date_format = "%m/%d/%Y"
# a = datetime.strptime('8/18/2008', date_format)
# b = datetime.strptime('9/26/2008', date_format)
# delta = b - a
# print (delta.days) # that's it
date = datetime.today()
date_pormat = "%d-%m-%Y"
strtr = date.strfti... | flyyhgh25/Python | BASIC/tanggal.py | tanggal.py | py | 477 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.today",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "da... |
21101288360 | import math as m
import numpy as np
import matplotlib.pyplot as plt
##################### Methode d'Euler #####################
def step_euler(y,t,h,f):
return(y + h*f(y,t))
def euler_n_step(y0,t0,N,h,f):
y = np.array([0.0]*N)
y[0] = y0
T = np.array([(t0 + h*i) for i in range(N)])
for k in range (N-1):
y[k+1... | nhannoyer/algonum_6 | euler.py | euler.py | py | 2,880 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
40073990172 | from datetime import datetime
from distutils.command.upload import upload
from urllib import response
import boto3
from io import BytesIO
from PIL import Image, ImageOps
import os
import uuid
import json
s3 = boto3.client('s3')
bucket_name = str(os.getenv('BUCKET_NAME'))
size = int(os.getenv('THUMBNAIL_SIZE'))
dbtable... | Aadityakiran-S/Image-ThumbnailCRUDApp_AWS-SAM_Python | handler/app.py | app.py | py | 6,635 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "boto3.client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 14,
... |
3652603442 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset
from torch.utils.data import DataLoader
class Net(nn.Module):
def __init__(self, input_size, M, r):
super(Net, self).__init__()
self.fc1 = nn.Linear(input_size, M)
s... | maclin726/MachineLearningTechniques2020spring | coursera_hw4/NNet.py | NNet.py | py | 4,888 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
849467344 | #!/usr/bin/env python3
# goes through markdown files updating info, warning, caution, danger, note, and tip flags
# FROM: [[ info ]]
# TO: :::info
# :::
# FROM: [[ info | title ]]
# TO: :::info title
# :::
# FROM: [[ info ]]
# | some text here\n
# TO: :::info
# some text here
# :::
# FROM: [[ info | title ]]
# | some ... | eosnetworkfoundation/docsgen | scripts/process_admonitions.py | process_admonitions.py | py | 8,175 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"lin... |
44245109548 | #!/usr/bin/python3
import glob
import inspect
import os
import re
from shutil import copy
import stat
import subprocess
import sys
from .utils import execute, execute_call
from .src_introspection import RobotpkgSrcIntrospection,RobotpkgPackage
def valid_name(name):
return name.replace('_', ' ').replace('-', ' ').l... | olivier-stasse/robotpkg_helpers | robotpkg_helpers/dockerfile.py | dockerfile.py | py | 10,215 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "src_introspection.RobotpkgSrcIntrospection",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": ... |
42700971626 | #!/usr/bin/env python
"""
Tally
======
Tally is a simple daily counter API.
"""
from setuptools import setup, find_packages
import os
import subprocess
# If setup.py is being run from within the git repository (instead of a
# tarball, for instance) append the first 10 digits of the head commmit.
tally_version = "... | Mapkin/tally | setup.py | setup.py | py | 1,363 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "subprocess.check_output",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "setuptools.setup"... |
40225875642 | import cv2
import numpy as np
import matplotlib.pyplot as plt
# Read Image from file
img = cv2.imread("Lenna.jpg", cv2.IMREAD_GRAYSCALE)
I = cv2.normalize(img.astype("float"), None, 0.0, 1.0, cv2.NORM_MINMAX)
[y, x] = I.shape
# Create 2 mask for blurring image
Hv = np.ones((9, 1), np.float32) / 9
Hh = np.transpose(Hv)... | Nourollah/Python_ImageProcessing | S06/S06_C09_P240_image_blur_evaluation_measure*.py | S06_C09_P240_image_blur_evaluation_measure*.py | py | 1,500 | python | en | code | 19 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.normalize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.NORM_MINMAX",
... |
70147013172 | #-*- coding: utf-8 -*-
__author__ = 'liyangjin'
__time__ = '2018/3/20 11:23'
from flask import Flask, render_template,jsonify
from flask.ext.socketio import SocketIO
import threading
app = Flask(__name__)
app.debug = True
app.config['SECRET_KEY'] = 'my-project'
symbols = ["a", "b", "c", "d", "e", "f", "g... | cabbageGG/flask_socketio_websocket | server.py | server.py | py | 1,526 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.ext.socketio.SocketIO",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.render_temp... |
69816312054 | import sys
import pytest
import unittest
from unittest.mock import MagicMock, patch
ON = 1
OFF = 0
BOIL_ON = 0
BOIL_OFF = 1
LOW = 0
MED = 1
HIGH = 2
CLOCK = 0
COUNTER = 1
sys.modules["spidev"] = MagicMock()
from stmspi.stmspi import RpiController
@pytest.fixture
def rpi():
return RpiController(0)
@pytest.fixt... | brapru/esteban | raspi/tests/test_stmspi.py | test_stmspi.py | py | 3,055 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "sys.modules",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "stmspi.stmspi.RpiController",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "... |
24706614663 | import os
from loader import DataLoader
import numpy as np
from time import time, strftime
import torch
from tqdm import tqdm
from model.esim_hardaligner import ESIM_Aligner as ESIM
from torch.optim import Adam
import pickle
import random
# code saving and logging
dataset = 'snli'
# dataset = 'med2hop_bysnli' when yo... | feng-yufei/Neural-Natural-Logic | aligner.py | aligner.py | py | 3,454 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "pickle.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "model.esim_hardaligner.eval",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "model.esim_hardaligner",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "tqdm.t... |
27850549473 | from bs4 import BeautifulSoup as bs
import requests
from pprint import pprint
# https://www.kinopoisk.ru/popular/films/?quick_filters=serials&tab=all
main_link = 'https://www.kinopoisk.ru'
params = {
'quick_filters': 'serials',
'tab': 'all'
}
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win6... | aeroswitch/GeekBrains | 5_Collecting_data_from_the_web/2_Parsing_HTML_BS/kinopoisk.py | kinopoisk.py | py | 1,570 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 44,
"usage_type": "call"
}
] |
10375715155 | import sys
from collections import defaultdict
input = sys.stdin.readline
n, m = map(int, input().split())
dic = defaultdict(int)
for _ in range(n):
word = str(input().rstrip())
if len(word) >= m:
dic[word] += 1
items = sorted(list(dic.items()), key=lambda x: (-x[1], -len(x[0]), x[0]))
for... | yejin7211/Algorithm | 백준/Silver/20920. 영단어 암기는 괴로워/영단어 암기는 괴로워.py | 영단어 암기는 괴로워.py | py | 359 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
}
] |
36993200507 | import requests
from bs4 import BeautifulSoup
from urllib.request import urlopen
from urllib.error import HTTPError, URLError
def getTitle(url):
try:
html = urlopen(url)
except HTTPError as e:
return None
try:
soupObj = BeautifulSoup(html, 'html.parser')
title = soupObj.bod... | YeasirArafatRatul/web_scraping | scrapertest.py | scrapertest.py | py | 543 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.error.HTTPError",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
}
] |
26556611221 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 18 14:30:13 2017
@author: mike
"""
import sys
import spacepy.datamodel
from datetime import date, datetime, timedelta
import dateutil.parser
import datetime
import os
import numpy as np
from crossCorrelationStudy import CrossCorrelateData
#sys.path.insert(0, '/home/mike... | mshumko/bouncing_microburst | event0/cross_correlation/crossCorrWrapper.py | crossCorrWrapper.py | py | 2,874 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.date",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "spacepy.datamodel.datamodel.readJSONheadedASCII",
"line_number": 26,
"usage_type": "call"
},
{
"a... |
10147557424 | # -*- coding: utf-8 -*-
"""
Created on Fri Feb 23 12:47:10 2018
@author: jamontol
"""
import skfuzzy as fuzz
from itertools import islice
import numpy as np
class Deteccion_Anomalias_FCM:
def __init__(self, data, modo, q, r):
self.t = data[0]
self.y = data[1]
... | jamontol/Anomaly-Detection | Deteccion_Anomalias_FCM.py | Deteccion_Anomalias_FCM.py | py | 4,186 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "itertools.islice",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "itertools.islice",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "skfuzzy.cluster.cmeans",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "skfuzzy.clus... |
41541901823 | from pyspark.sql import SparkSession
from pyspark.sql.functions import date_format
from pyspark.sql.types import IntegerType
session = (SparkSession.builder
.appName("LogStatsSQL")
.master("local[*]")
.getOrCreate())
rawLogsDF = session.read.option("header", True).csv("../resources/bi... | jocelynlecomte/udemy-spark-python | pyspark_tuto/df/log_stats_pivot_df.py | log_stats_pivot_df.py | py | 762 | python | en | code | 0 | github-code | 21 | [
{
"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": "... |
27601103076 | from modules.lib.report_repository import ReportRepository
class ThingsCloudReportRepository(ReportRepository):
def __init__(self, report_queue, device, interval):
super().__init__(report_queue, interval)
self._enable_posting_multi_measurement = True
self.device = device
def __create_... | atmark-techno/ThingsCloud-samples | Armadillo-IoT_GW/modules/things_cloud/report_repository.py | report_repository.py | py | 1,566 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "modules.lib.report_repository.ReportRepository",
"line_number": 4,
"usage_type": "name"
}
] |
32419592482 | import datetime
import firebase_admin
from firebase_admin import credentials, firestore
from django.http import HttpResponse, JsonResponse
cred = credentials.Certificate("./serviceAccountKey.json")
firebase_admin.initialize_app(cred, {
'databaseURL': 'https://fir-project-trungtt.firebaseio.com'
})
db = firestore... | trungtranthanh93/djangoChatFile | firebase/views.py | views.py | py | 2,153 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "firebase_admin.initialize_app",
"line_number": 8,
"usage_type": "call"
... |
42753472441 | from matplotlib.pyplot import imshow
from io import BytesIO
from IPython import display
import matplotlib.pyplot as plt
import PIL.Image
import numpy as np
def plot(img, scale=1, dpi=80):
plt.figure(figsize=(img.shape[0]*scale/dpi, img.shape[1]*scale/dpi), dpi=dpi)
imshow(img)
# Prepare a tensor to be di... | slavivanov/Style-Tranfer | utils.py | utils.py | py | 1,217 | python | en | code | 100 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "num... |
70194193654 | import logging
import os
import sys
from dynaconf import Dynaconf
def check_main_config():
project_path = sys.path[0]
if os.path.exists(os.path.join(project_path, 'configs', 'config.toml')):
path_config = os.path.join(project_path, 'configs', 'config.toml')
envvar_prefix = "API"
else... | hellagod/poem_analyzer | configs/config.py | config.py | py | 1,006 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
2701034867 | #!/usr/bin/env python
'''
Ground-state and IP/EA-EOM-CCSD for singlet (RHF) and triplet (UHF) O2.
'''
from pyscf import gto, scf, cc
'''Singlet'''
mol = gto.Mole()
mol.verbose = 5
mol.atom = 'A'
mol.atom = 'O 0 0 0; O 0 0 1.2'
mol.basis = 'ccpvdz'
mol.build()
mf = scf.RHF(mol)
mf.verbose = 7
mf.scf()
mycc = cc.RC... | sunchong137/pyscf_2017 | examples/cc/20-ip_ea_eom_ccsd.py | 20-ip_ea_eom_ccsd.py | py | 622 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pyscf.gto.Mole",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyscf.gto",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pyscf.scf.RHF",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyscf.scf",
"line_number":... |
18710451331 | import requests
src = 'http://ippanel.com/api/select'
url = 'ادرس سایت'
json_request = {
'op': 'send',
'uname': '09104734870',
'pass': '4400080072',
# 'message': 'be emad kir kocholo salam bereson',
'from': '5000125475',
# 'to': ['09339192819', ],
}
def successfully_reserve_sms(phone_number... | rezabhm/Laser-Back-End | SmsService/SMS.py | SMS.py | py | 3,756 | python | fa | code | 0 | github-code | 21 | [
{
"api_name": "requests.post",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_n... |
25040018727 | # -*- coding: utf-8 -*-
__author__ = 'romus'
import unittest
import datetime
from statistic4text.errors.errors import DataNotFound
from iRetrieval.errors.errors import ParamError
from iRetrieval.test.connection_configs import *
from iRetrieval.utils.save_utils import MongoSaveRetrievalUtils
class TestMongoSaveRe... | romus/iRetrieval | iRetrieval/test/test_save_utils.py | test_save_utils.py | py | 1,397 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "iRetrieval.utils.save_utils.MongoSaveRetrievalUtils",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "statistic4text.errors.errors.DataNotFound",
"line_number": 24,
... |
73260761334 | import os
import sys
import pandas as pd
from pathlib import Path
from GMXMMPBSA.API import MMPBSA_API
from GMXMMPBSA.exceptions import NoFileExists
def parse_GMXMMPBSA_RESULTS(mmxsafile, outdir='.'):
if not isinstance(mmxsafile, Path):
fname = Path(mmxsafile)
if not fname.exists():
raise NoF... | Aunity/LICkit | lickit/tools.py | tools.py | py | 3,714 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "GMXMMPBSA.exceptions.NoFileExists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.ch... |
72905332853 | from __future__ import print_function
import warnings
import copy
import json
import os
import numpy as np
from . import backend as K
from . import optimizers
from .utils.io_utils import ask_to_proceed_with_overwrite
from .engine.training import Model
from .engine.topology import get_source_inputs, Node, Layer, Merge
... | jacoxu/ASAM | software/keras/models.py | models.py | py | 45,414 | python | en | code | 54 | github-code | 21 | [
{
"api_name": "numpy.__name__",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "utils.io_utils.ask_to... |
587870301 | from pymongo import MongoClient
import json
def import_from_postgres():
client = MongoClient('127.0.0.1', 27017, username='admin', password='admin')
db = client['movies']
movies_table = db['movies']
f = open('./pg_json/genres_202306212000.json')
genres_dataset = json.load(f)
f = open('./pg_jso... | ivanandreski/nosql-project | mongo/import_from_postgres.py | import_from_postgres.py | py | 3,062 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number":... |
1660860280 | from azure.cognitiveservices.vision.computervision import ComputerVisionClient
from msrest.authentication import CognitiveServicesCredentials
from PIL import ImageGrab
import io
import pyperclip
def recognize_printed_text_in_mac_clipboard_image():
"""RecognizedPrintedTextUsingOCR_API.
This will do an OCR anal... | dss99911/azure-study | recognition/ocr.py | ocr.py | py | 991 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "azure.cognitiveservices.vision.computervision.ComputerVisionClient",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "msrest.authentication.CognitiveServicesCredentials",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.ImageGrab.grabclipboard... |
74991344691 | from gi.repository import Gdk
def mix(src: Gdk.RGBA, dest: Gdk.RGBA, ratio: float) -> Gdk.RGBA:
"""Mixes two Gdk colours into a result"""
ratio = min(1.0, max(0.0, ratio))
inv = 1.0 - ratio
return Gdk.RGBA(inv * src.red + ratio * dest.red,
inv * src.green + ratio * dest.green,
... | quodlibet/quodlibet | quodlibet/qltk/color.py | color.py | py | 430 | python | en | code | 1,306 | github-code | 21 | [
{
"api_name": "gi.repository.Gdk.RGBA",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.Gdk",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "gi.repository.Gdk.RGBA",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gi.... |
73514610614 |
import cv2
import pyautogui
import numpy as np
import time
import keyboard
# Debug purpose
cv2.namedWindow("Threshold Debug")
cv2.moveWindow("Threshold Debug", -1000, 300)
pre_shopkeeper = True
################### User inputs #######################
seed = '641499'
default_interval : float = 0.05
# references
prep... | shortcakesweets/Bard-seeded-tas | main.py | main.py | py | 10,776 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.namedWindow",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.moveWindow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_COLOR",
"line... |
8963540383 | from discord.ext import commands
import asyncio
class timer(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command(aliases=["stimer", "mtimer", "htimer"])
async def _timer(self, ctx, time: float, content=None):
zikan = f"{ctx.author.mention}時間です"
hu = "数字が負の値です"
... | Budobudou/2rz-bot | cogs/commands/timer.py | timer.py | py | 1,502 | python | ja | code | null | github-code | 21 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "asyncio.sleep",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "discor... |
3036117230 | import bpy
from Bonera_Toolkit import Utility_Functions
#Editing bone
ENUM_Name_Mode = [("PREFIX","Prefix","Prefix"),("SUFFIX","Suffix","Suffix"),("REPLACE","Replace","Replace")]
class BONERA_Duplicate_And_Constraint(bpy.types.Operator):
"""Duplicate and Constraint Bones
Object | Pose | Edit Armature"""
b... | BlenderBoi/Bonera | Utility_Operator/Duplicate_And_Constraint.py | Duplicate_And_Constraint.py | py | 5,408 | python | en | code | 23 | github-code | 21 | [
{
"api_name": "bpy.types",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "bpy.props.EnumProperty",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bpy.props",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "bpy.props.StringP... |
33126341645 | import logging
from itertools import chain
from typing import Optional
from datetime import datetime
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session
from weedly.db.models import Article, Author, Feed
from weedly.errors import AlreadyExistsError, NotFoundError
logger = logging.getLogger(_... | kbondar17/pocket-rss | rss-backend/weedly/repos/feeds.py | feeds.py | py | 3,741 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "weedly.db.mo... |
28593374140 | """
MAPS score functions from https://github.com/macarthur-lab/gnomad_lof
"""
import sys
from typing import Union, Iterable
import hail as hl
def downsampling_counts_expr(
ht: Union[hl.Table, hl.MatrixTable],
pop: str = 'global',
variant_quality: str = 'adj',
singleton: bool = False,
impose_high_a... | populationgenomics/utr-variants | utr3variants/maps.py | maps.py | py | 8,190 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Union",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "hail.Table",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "hail.MatrixTable",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "hail.zip_with_inde... |
21541493492 | import argparse
import os
from torch import nn, optim
import lr_schedule, pre_process as prep, network, losssntg
import torch
import torch.nn
import numpy as np
from data_list import ImageList
from torch.utils.data import DataLoader
import network
from util import DummyDataset, make_data_loader, get_sampled_data_loa... | zxcvbnmloveu/RBDA-master | pytorch/load_model.py | load_model.py | py | 28,767 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "network.Homo_classifier",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "lr_schedule.schedule_dict",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "n... |
24421859500 | import typing
from typing import Type
import sys
import pandas as pd
import numpy as np
class DOC:
"""
A script to correct the bond problem in LAMMPS's write_data
command and the boundary conditions.
These scripts read the data file from write_data, check the
distance between particles that have a... | saeed-amiri/pytools | bond_corrections.py | bond_corrections.py | py | 22,764 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Any",
"line_number": 186,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"line_number": 187,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"line_number": 188,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"... |
2828554228 | import cx_Oracle
class Bankstmt:
def stmt(self,accno):
con = cx_Oracle.connect('SYSTEM/pmgkrishna96')
cur = con.cursor();
cur.execute("select * from printstmt where accountNumber='"+accno+"'")
print("\t\t\t\tBANK STATEMENT\t\t\t\t")
for res in cur:
print("accno:"+str... | pmgkrishna/BankwithPython | src/BankStatement.py | BankStatement.py | py | 444 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cx_Oracle.connect",
"line_number": 5,
"usage_type": "call"
}
] |
610565832 | from datetime import datetime
class Carrera:
def __init__(self, nombre):
self.nombre = nombre
self.alumnos = []
def agregar_alumno(self, alumno):
self.alumnos.append(alumno)
class Alumno:
def __init__(self, nombre, apellido):
self.nombre = nombre
self.apellido = ap... | RIKI-MAXI/Notas | Notas.py | Notas.py | py | 2,721 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 25,
"usage_type": "call"
},
{
"api_name"... |
42952279411 | import logging
import pathlib
import h5py
import sys
from tqdm import trange
sys.path.extend(['../../EarthScienceFaultDetection'])
from src.DataPreprocessor.region_dataset import RegionDataset
from src.DataPreprocessor.data_generator import DataGenerator
import src.config
def __generate_data_batch(data_generator, ... | danilkuzin/EarthScienceFaultDetection | src/pipeline/generate_data.py | generate_data.py | py | 4,386 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.extend",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "src.DataPreprocessor.region_dataset.RegionDataset",
"line_number": 35,
"usage_type": "call"
},
{
"api... |
29735136568 | from django.http import HttpResponseRedirect
from django.shortcuts import render
from django.core.urlresolvers import reverse
from django.contrib import messages
from django.contrib.auth.models import User
from django.template import RequestContext
from django.utils import timezone
from django.views.generic import List... | fildred13/hamagic | tourney/views.py | views.py | py | 27,622 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "tourney.models.Tourney.objects.filter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tourney.models.Tourney.objects",
"line_number": 18,
"usage_type": "at... |
23854269417 | ################################################################################################################################
## ##
## start program: data_prep_for_RF__genes.py ... | victorkleb/scRNAseq_cluster_RF_proximities | example_programs/data_prep_for_RF__genes.py | data_prep_for_RF__genes.py | py | 3,640 | python | de | code | 6 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pandas.options",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pandas.set_option",... |
19040084104 | from django.shortcuts import render, redirect
from .models import Employee
from.forms import Employee_form
def Employee_load(request):
if request.method == 'GET':
form_list = Employee.objects.all()
emp_dict = {
'form_list' : form_list
}
return render(request,'employee_ap... | vjvijaykumarvj/company_project | EMS_root/employee_apply/views.py | views.py | py | 1,567 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Employee.objects.all",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "models.Employee.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "models.Employee",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": ... |
10639983271 | from datetime import datetime
from playsound import playsound
while True:
alarm_time = input("Enter the time of alarm to be set:HH:MM:SS:am/pm \n")
try:
alarm_hour=int(alarm_time[0:2])
alarm_minute=int(alarm_time[3:5])
alarm_seconds=int(alarm_time[6:8])
alarm_period = ... | Praveena-Narala/Python-Practice | Alarm Clock.py | Alarm Clock.py | py | 1,336 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "playsound.playsound",
"line_number": 33,
"usage_type": "call"
}
] |
3263726376 | from konlpy.tag import Okt
import json
import os
from pprint import pprint
import nltk
import matplotlib.pyplot as plt
from matplotlib import font_manager,rc
import numpy as np
def read_train_data(filename):
with open(filename,'r') as f:
data = [line.split(' ',maxsplit=1) for line in f.read().splitlines()]... | wwjdtm/movie_-sentiment_analysis | tokenizing.py | tokenizing.py | py | 1,881 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "konlpy.tag.Okt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "nltk.Text",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rc",
"li... |
33850890547 | from flask import Flask, jsonify
from flask import abort
from flask import make_response
from flask import request
app = Flask(__name__)
tasks = [
{
'id': 1,
'title': u'Honda',
'description': u'CBF190',
'done': False
},
{
'id': 1,
'title': u'Honda',
'... | Trisaa/wanwan_api | class_first/jikexueyuan/flask/rest.py | rest.py | py | 1,317 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask.abort",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number... |
31241014793 | from pymorphy2 import MorphAnalyzer
import re
def get_pos(word):
if re.search('[^А-Яа-яЁё-]', word):
return None
else:
ana = morph.parse(word)
pos = [ana[0].tag.POS, ana[0].normal_form]
if 'перемес' in word:
print(word)
print(pos)
return pos
def save_dictionaries(dicts):
for d in dicts:
lines =... | ustya-k/hse-python | 2 курс/inflection-bot/create_dictionaries.py | create_dictionaries.py | py | 1,502 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.search",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pymorphy2.MorphAnalyzer",
"line_number": 48,
"usage_type": "call"
}
] |
71395825334 | """
Set of programs to read and interact with output from Bifrost
"""
import numpy as np
import os
from glob import glob
from . import cstagger
import numba
import scipy as sp
from multiprocessing.dummy import Pool as ThreadPool
import time
class BifrostData(object):
"""
Reads data from Bifrost simulations i... | Cbaharav/carmel_updates | obsoleteFiles/bifrost.py | bifrost.py | py | 68,998 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 1... |
1721000529 | from django.contrib import admin
from tasks.models import Category
@admin.register(Category)
class CategoryAdmin(admin.ModelAdmin):
list_display = (
"id",
"name",
"color",
"user",
)
ordering = ("-id",)
list_filter = (
"name",
"color",
)
search... | lsstomas/taskify | categories/admin.py | admin.py | py | 528 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 5,
"usage_type": "call"
},
{
... |
15289960311 | """
read_spec.py : python version of Roman's read_spec.m
Note:
----
we can add more read_spec functions for different
datasets.
"""
from typing import Tuple
from urllib import request
import numpy as np
from astropy.io import fits
file_loader = lambda plate, mjd, fiber_id: "spec-{:d}-{:d}-{:04d}.fits".format(
p... | jibanCat/gpy_dla_detection | gpy_dla_detection/read_spec.py | read_spec.py | py | 5,276 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "astropy.io.fits.open",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"lin... |
7367504200 | from political_sisterhood.candidate.models import Candidate, College
from political_sisterhood.issue.models import Issue, CandidateIssue
import pandas as pd
import os
import logging
import csv
logger = logging.getLogger(__name__)
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
def run():
data = pd.read_csv(... | 2019politicalsisterhood/2019Candidates | scripts/candidate.py | candidate.py | py | 1,136 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"li... |
71173833974 | #!/usr/bin/env python
'''
Author: Curtis Hiscock
A Bit-Plane Complexity Segmentation program based on an undergraduate research project at the University of Florida
Based on 'Principle of BPCS-Steganography by Eiji Kawguchi and Richard Eason'
More Info: http://datahide.org/BPCSe/principle-e.html
'''
import sys
sys.pa... | CurtisSHiscock/Bit-Plane-Complexity-Segmentation-Steganography | bpcs.py | bpcs.py | py | 1,631 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "sys.path.insert",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "encode.Encoder"... |
29124783722 | import json
import openai
import re
import language_tool_python
import os
from torchtext.data.utils import get_tokenizer
#defining constants based on app.config
with open(os.getcwd() + "\\app.config") as settings_file:
appSettings = json.load(settings_file)
TRAINING_FILE_PATH = os.path.abspath(appSettings... | WilliamClarke2/YouthfullyInternship | Ascribe/generateData.py | generateData.py | py | 3,094 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.getcwd",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
... |
34905663578 | import sqlite3
def load_data():
data = []
with sqlite3.connect("/home/teuffenm/Desktop/waage/weight_20210217") as db:
cursor = db.cursor()
cursor.execute("SELECT * FROM scaleMeasurements")
db_data = cursor.fetchall()
for row in db_data:
data.append(row)
import... | MaTeuff/weather-analysis | files/load_data.py | load_data.py | py | 1,178 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_nu... |
2900821071 | from bs4 import BeautifulSoup
import requests, sys, re, os, json
from urllib.parse import quote
from multiprocessing import Pool, freeze_support, cpu_count
sys.setrecursionlimit(1000000)
def ImageBuilder(ID, headers, image_headers, cache_path):
URL = 'https://www.pixiv.net/member_illust.php?mode=medium&illust_id='... | frcskoh/PixivApp | stream.py | stream.py | py | 4,485 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",... |
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