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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1533621629 | import cv2
import numpy as np
def calcular_tamano_objeto(imagen, tamano_real_objeto_ancho, tamano_real_objeto_alto):
# Leer la imagen y convertirla a escala de grises
img = cv2.imread(imagen)
gris = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Aplicar umbralización para obtener una imagen binaria
_, bi... | moises-coronel/Procesamiento_imagenes | tarea#4/tarea4.py | tarea4.py | py | 2,953 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.threshold",
"lin... |
3655291809 | from bs4 import BeautifulSoup as bs
import json
import logging
import os
import pandas as pd
import re
import requests
def init_vars():
global headers, session, logger, df
headers = {
'Host': 'www.amazon.com',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKi... | MohitGoyal19/Crawlers | Amazon/Books/books_spider.py | books_spider.py | py | 11,292 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.Session",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "logging.getLogg... |
13610831235 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import taggit.managers
class Migration(migrations.Migration):
dependencies = [
('learn', '0004_auto_20141215_1723'),
]
operations = [
migrations.AlterField(
model_name='a... | klebercode/sofia | sofia/apps/learn/migrations/0005_auto_20141215_1730.py | 0005_auto_20141215_1730.py | py | 889 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 15,
"usage_type": "call"
},
{... |
75003681147 | import threading
from tornado import ioloop, web
import websocket
import os
import json
class WebSocketListener:
__socket = None
def setSocket(self, socket):
self.__socket = socket
def send(self, message):
self.__socket.send(json.dumps(message))
class CollectionListener(WebSocketListener):
__collection = N... | djungowski/mpi3 | alarm/threadweb.py | threadweb.py | py | 1,848 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "threading.... |
29184935984 | import argparse
from mysql import connector
import db_admin.db_connect as conn
def parse_arg():
parser = argparse.ArgumentParser(description='Films analytics program')
parser.add_argument('-N', default=3, type=int, help='Number of max rating films')
parser.add_argument('-genres', default='', type=str, hel... | zbokostya/coherent-training | Task3/main.py | main.py | py | 1,501 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "db_admin.db_connect.Database",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "db_admin.db_connect",
"line_number": 25,
"usage_type": "name"
},
{
"api_name"... |
28847426951 | #!/usr/bin/env python
import random
import numpy as np
import cv2
from .augmentation import augment_seg, custom_augment_seg
from .data_loader import \
get_pairs_from_paths, DATA_LOADER_SEED, class_colors, DataLoaderError
random.seed(DATA_LOADER_SEED)
def _get_colored_segmentation_image(img, seg, colors,
... | divamgupta/image-segmentation-keras | keras_segmentation/data_utils/visualize_dataset.py | visualize_dataset.py | py | 4,062 | python | en | code | 2,774 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "data_loader.DATA_LOADER_SEED",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "numpy.zeros_like",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "augment... |
38515053033 | from typing import Dict, Any, List, Tuple, Union, cast
import torch
from .pipeline import SentimentPipeline, MetricTracker
from pytorch_lightning import Trainer, seed_everything
from torch.utils.data import DataLoader
import numpy as np
from transformers.modeling_outputs import SequenceClassifierOutput
from torch impor... | crypto-sentiment/crypto_sentiment_notebooks | notebooks/active_learning_utils/train.py | train.py | py | 2,530 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pipeline.SentimentPipeline",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pipeline.SentimentPipeline",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 22,
"usage_type": "name"
},
{
... |
15776437300 | from json import loads
from requests import get
from lib.python.helpers import check_internet
from lib.python.youtube.youtube_datastructures import YoutubePlaylist, YoutubeVideo
YOUTUBE_API_PLAYLIST_URI = 'https://www.googleapis.com/youtube/v3/{}'
class YoutubePlaylistAPI:
type = 'playlistItems'
def __ini... | zsoman/youtube-downloader | lib/python/youtube/youtube_api.py | youtube_api.py | py | 2,572 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "lib.python.helpers.check_internet",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "lib.python.youtube.youtube_datastructures.YoutubeVideo",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "lib.python.youtube.youtube_datastructures.YoutubePlaylis... |
32096470883 | from tkinter import *
from tkinter import ttk
from PIL import Image, ImageTk
import numpy as np
import os
from os.path import isfile, join
from threading import Thread
from userHandler import UserData
import mysql.connector
conn = mysql.connector.connect(user='root', password='', host='localhost', database=... | Brindha-m/Elite-Chatbot | main.py | main.py | py | 9,848 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 11,
"usage_type": "name"
},
{
"... |
39348178196 | import argparse
import logging
import os
import re
import sys
from typing import cast, Dict, List
from rebasehelper import VERSION
from rebasehelper.options import OPTIONS, traverse_options
from rebasehelper.constants import PROGRAM_DESCRIPTION, NEW_ISSUE_LINK, LOGS_DIR, TRACEBACK_LOG, DEBUG_LOG
from rebasehelper.appl... | rebase-helper/rebase-helper | rebasehelper/cli.py | cli.py | py | 8,310 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "rebasehelper.logger.CustomLogger",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.cast",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rebase... |
24430444264 | # -*- coding: utf-8 -*-
"""Driver for the TSL2561 digital luminosity (light) sensors.
Pick one up at http://www.adafruit.com/products/439
Adafruit invests time and resources providing this open source code,
please support Adafruit and open-source hardware by purchasing
products from Adafruit!
Code ported from Adafr... | sim0nx/tsl2561 | tsl2561/tsl2561.py | tsl2561.py | py | 11,223 | python | en | code | 37 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "Adafruit_GPIO.I2C.get_i2c_device",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "Adafruit_GPIO.I2C",
"line_number": 58,
"usage_type": "name"
},
{
"api_name"... |
39196978744 | import itertools
import typing
import numpy as np
import gym
import torch
from .common import returns_from
class Reinforce(torch.nn.Module):
def __init__(self, env):
super(Reinforce, self).__init__()
self.env = env
observation_size = env.observation_space.shape[0]
if type(env.... | 2ar0n/rl_fun | agents/reinforce.py | reinforce.py | py | 3,381 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Linear",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
30728261570 | import fileinput, sys
from collections import deque, defaultdict
from itertools import permutations, combinations, combinations_with_replacement
sys.setrecursionlimit(10000000)
dd = defaultdict(lambda: 0)
dx = [0, 0, -1, 1] # NSWE
dy = [-1, 1, 0, 0] # NSWE
ll = [l.strip() for l in fileinput.input()]
N = len(ll[0])... | mdaw323/alg | adventofcode2021/3.py | 3.py | py | 1,363 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "fileinput.input",
"line_number": 10,
"usage_type": "call"
}
] |
26113265335 | __authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "14/06/2018"
import re
import logging
import time
from collections import deque
import numpy
from silx.gui import qt, icons
from silx.gui.colors import rgba
from silx.gui.colors import Colormap
from silx.math.marchingcubes import MarchingCubes
from silx.ma... | silx-kit/silx | src/silx/gui/plot3d/ScalarFieldView.py | ScalarFieldView.py | py | 53,248 | python | en | code | 106 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "silx.gui.qt.QObject",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "silx.gui.qt",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "silx.gui.qt.Si... |
36523129510 | # -*- coding: utf-8 -*-
__version__ = "3.3"
__author__ = "Robert Smayda, Taylor White [taylorchasewhite.com]"
import re
import sys
import fileinput
from collections import defaultdict
### NOTES
### By using the system call (syscall) instruction, MARS provides a set of
### OS-like services... | taylorchasewhite/mips | part6/codeGen.py | codeGen.py | py | 39,158 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.exit",
"line_number": 504,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 686,
"usage_type": "call"
},
{
"api_name": "record.Record",
"line_number": 695,
"usage_type": "call"
}
] |
32229932595 | import os
from datetime import datetime, timedelta
import random
start_date = datetime(2020, 9, 7)
end_date = datetime(2023, 3, 5)
incDay = timedelta(days=1)
while (start_date <= end_date):
coQuantity = random.randint(1, 17)
for i in range(coQuantity):
os.system(f"touch ./files/C{start_date.strftime('... | Faekrrr/git-giga | main.py | main.py | py | 850 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.randint",
... |
70926653628 | #!/usr/bin/env python
# coding: utf-8
import os
import json
import time
import base64
import urllib3
import socket
import datetime
import certifi
ENDPOINT = "https://logs.logdna.com/logs/ingest"
MAX_CONTENT_BYTES = 1e5
MAX_READ = 500000
def short(h=None):
if h is None:
h = socket.getfqdn()
while h.e... | jettero/ldogger | ldogger/dispatch.py | dispatch.py | py | 3,359 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "socket.getfqdn",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib3.PoolManager",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "certifi.where",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
... |
5961321208 | # main app file
from flask import Flask, render_template, request, jsonify, make_response, redirect
from database import (
create_connection,
set_question_for_pollid,
get_question_for_pollid,
set_options_for_pollid,
get_options_for_pollid,
inc_vote,
get_votes,
)
from flask_cors import CORS,... | colejagdtiger/HtNPollingApp | app.py | app.py | py | 2,195 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pusher.Pusher",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_numbe... |
21999832956 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 10 09:47:10 2023
@author: rsunn
"""
import numpy as np
import random
import matplotlib.pyplot as plt
#helper function
def argmax_2darray(a):
"""
Returns the maximum location in a n-d array
"""
return np.unravel_index(a.argmax(), a.shape)
... | raduniculae123/com3001 | modeltest.py | modeltest.py | py | 17,483 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.unravel_index",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.full",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_nu... |
6119703141 | import logging
loggers_dict = {}
def create_logger(name:str):
global loggers_dict
if name in loggers_dict:
return loggers_dict[name]
else:
logger = logging.getLogger(name)
loggers_dict[name] = logger
logger.setLevel(logging.DEBUG)
handler = logging.StreamHandler()... | Geliron12/diploma | MMM-GPT-2/source/logging.py | logging.py | py | 848 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.DE... |
7577860681 | from django.core.management.base import BaseCommand
from attachments.models import Attachment, get_file_suffix, \
is_img
class Command(BaseCommand):
help = "update attachment's base info."
def handle(self, **options):
attachments = Attachment.objects.all()
for o in attachments:
... | vicalloy/django-lb-attachments | attachments/management/commands/update_attachments.py | update_attachments.py | py | 612 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "attachments.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "attachments.models.Attachment.objects.all",
"line_number": 10,
"usage_type": "c... |
31484721893 | import functools
import logging
import h5py
import numpy as np
import pandas as pd
import torch
from dcase_util.data import ProbabilityEncoder
from genericpath import exists
from scipy.signal import medfilt
from torch.utils.data import DataLoader, Dataset
from evaluation_measures import ConfusionMatrix, compute_metri... | m-koichi/ConformerSED | src/post_processing.py | post_processing.py | py | 17,820 | python | en | code | 25 | github-code | 6 | [
{
"api_name": "scipy.signal.medfilt",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scipy.signal.medfilt",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "scipy.signal.medfilt",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.... |
39607819693 | # -*- coding: utf-8 -*-
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0003_auto_load_fixtures'),
]
operations = [
migrations.CreateModel(
name='Copyright',
fields=[
('id', models.AutoFi... | open-oni/open-oni | core/migrations/0004_copyright_lccndatecopyright.py | 0004_copyright_lccndatecopyright.py | py | 1,077 | python | en | code | 43 | github-code | 6 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
378339191 | #! -*- coding: utf-8 -*-
# bert做language model任务，小说生成
from __future__ import print_function
import glob
import numpy as np
from tqdm import tqdm
import os, json, codecs, re
import uniout
from bert4keras.bert import build_bert_model
from bert4keras.utils import Tokenizer, load_vocab
from keras.layers import *
from kera... | lixin940207/bert4keras | examples/task_language_model.py | task_language_model.py | py | 8,881 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "glob.glob",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "bert4keras.utils.load_vocab",
"line_n... |
20603771420 |
from sqlalchemy import *
from flask import Flask, jsonify, request
import urllib
#from sqlalchemy.engine.url import URL
from sqlalchemy.orm import mapper, scoped_session, sessionmaker
import os
app=Flask(__name__)
engine = create_engine('mysql://'+os.environ['DBmy_USERNAME']+':'+os.environ['DBmy_PASSWORD']... | BhujayKumarBhatta/myflask | srijib-work/curd-api.py | curd-api.py | py | 5,268 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sqlalchemy.orm.scoped_session",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.o... |
4741524681 | from io import BytesIO
from functools import lru_cache
from flask import Blueprint, abort, Response
from webargs import fields
from webargs.flaskparser import parser
from PIL import Image
from PIL.ImageColor import getrgb
from ..utils.api import freeze_args
from ..utils.api import load_data # registers "query_and_jso... | nvarg/smt4-fusion | backend/smt4_fusion/api/images.py | images.py | py | 1,710 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "utils.images.crop_largest_ob... |
18010641014 | # -*- coding: utf-8 -*-
"""
# Getting single scatterplot with xG for and against
@author: @AdPieta
"""
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import math
from PIL import Image
# Features
team_name = 'Real Madr... | AdPieta/Vizes | Scatterplot.py | Scatterplot.py | py | 2,936 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number... |
70396779387 | import functools
from typing import Any, Optional
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from chex import Array
from matplotlib.axes import Axes
from .calc import *
from .config import PendulumConfig
@jax.jit
def disc_th_vel(config: PendulumConfig, th: float, ve... | omron-sinicx/ShinRL | shinrl/envs/pendulum/plot.py | plot.py | py | 2,878 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "config.PendulumConfig",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "config.theta_res",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "config.vel_max",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "confi... |
37842405041 | from distutils.log import log
import re
import mysql.connector
import requests
import time
from pathlib import Path
from dotenv import dotenv_values
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
from selenium import webdriver
env_pat... | ICEI-PUC-Minas-PPLES-TI/plf-es-2022-2-ti6-3150100-pesquisaaplicacoesdesktop | Codigo/fillIssuesAndPullRequests.py | fillIssuesAndPullRequests.py | py | 10,319 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dotenv.dotenv_values",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "m... |
72104846269 | from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from .line import main as main_line
app = FastAPI()
domain_reg = r"https://george\.com|http://localhost:*"
app.add_middleware(
CORSMiddleware,
allow_origin_regex=domain_reg,
allow_credentials=True,
allow_methods=["*"],
... | geeeeorge/valorant | api/services/__init__.py | __init__.py | py | 379 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "line.main",
"line_number": 19,
"usage_type": "call"
}
] |
5700517642 | def get_Page():
import pycurl
from io import BytesIO
buffer = BytesIO()
c = pycurl.Curl()
c.setopt(c.URL, 'https://nagios.avantis.pl/nagios/cgi-bin/status.cgi?host=all&servicestatustypes=28')
c.setopt(pycurl.USERPWD, '%s:%s' % ("tkedziora", "Kedziora01!@"))
c.setopt(pycurl.SSL_VERIFYPEER, 0)... | tkedziora2505/nagios_slack | nagios_slack/nagios_critical_tables.py | nagios_critical_tables.py | py | 1,167 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "io.BytesIO",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pycurl.Curl",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pycurl.USERPWD",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pycurl.SSL_VERIFYPEER",
"... |
28031832513 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import torch
import torch.utils.data as data
from networks import ECO_Lite
from dataloader import (
make_datapath_list, get_label_id_dictionary,
VideoTransform, VideoDataset
)
from prepare import load_pretrained_ECO
def show_eco_inference_result(dir_path, outpu... | kargenk/ECO_scene_classifier | inference.py | inference.py | py | 2,589 | python | ja | code | 0 | github-code | 6 | [
{
"api_name": "torch.max",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "dataloader.make_datapath_list",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "dataloader.get_label_id_dictionary",
"line_number": 35,
"usage_type": "call"
},
{
"api_na... |
5964323251 | import random
from collections import Counter
PALOS = [ 'ESPADAS', 'TREBOLES', 'DIAMANTES', 'CORAZONES' ]
VALORES = [ 'A', '2', '3', '4', '5', '6', '7', '8', '9', '10', 'J', 'Q', 'K' ]
def crearMazo():
mazo = []
for palo in PALOS:
for valor in VALORES:
mazo.append(( palo, valor ))
... | joaquinfontela/platzi-estocastica-python | simulaciones/simulacion-barajas.py | simulacion-barajas.py | py | 4,410 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "random.sample",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 51,
"usage_type": "call"
}
] |
880836684 | """Target encoding.
Target encoding is a technique used in data science to encode categorical variables.
It replaces each categorical value with the mean of the target variable for that value.
"""
import logging
from typing import Any, Dict, List, Union
import polars
class TargetEncoder:
"""Target Encoder clas... | jordandelbar/feature-engineering-polars | fe_polars/encoding/target_encoding.py | target_encoding.py | py | 5,419 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.Union",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number"... |
72033325949 | # coding: utf-8
# Imports
from __future__ import division
import matplotlib.pyplot as plt
import numpy as np
# Control variables
temperature = 0.235
# Reading model results from file
times = []
with open("./Results/CrossingTimes-T{:.4f}.csv".format(temperature), 'r') as f:
for line in f:
time_events = [... | adrian-carro/qrse-abm-social-interaction | CrossingTimeProbDist.py | CrossingTimeProbDist.py | py | 970 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.log",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",... |
20347408929 | import tensorflow as tf
import network.Punet
import numpy as np
import util
import cv2
import os
TF_DATA_TYPE = tf.float32
LEARNING_RATE = 1e-4
N_PREDICTION = 100
N_SAVE = 1000
N_STEP = 150000
def train(file_path, dropout_rate, sigma=25, is_realnoisy=False):
print(file_path)
tf.reset_default_graph()
gt ... | scut-mingqinchen/Self2Self | demo_denoising.py | demo_denoising.py | py | 3,518 | python | en | code | 135 | github-code | 6 | [
{
"api_name": "tensorflow.float32",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.reset_default_graph",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "util.load_np_image",
"line_number": 19,
"usage_type": "call"
},
{
"api_name... |
71718728188 | import os
import sys
try:
sys.frozen #will pass if running py2exe executable
except:
pass #not needed, put gdal binaries on PATH
else:
exedir=sys.prefix+"\\"
os.environ["PATH"] += ";"+exedir
from osgeo import gdal
from osgeo import gdal_array
from osgeo.gdalconst import *
from osgeo import ogr
impor... | SDFIdk/nivprogs | MyModules/GdalMaps.py | GdalMaps.py | py | 20,947 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.frozen",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.prefix",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "wx.lib.newevent.NewEvent... |
21114680434 | import os
from dotenv import load_dotenv, dotenv_values
# FOR TELEGRAM
from telethon.sync import TelegramClient
from telethon.tl.types import InputPeerChannel, InputPeerEmpty, PeerUser
from telethon.tl.types import InputPeerUser
from telethon.tl.functions.channels import InviteToChannelRequest, InviteToChannelRequest,... | Splroak/add_member_telegram | src/BatchProcessor.py | BatchProcessor.py | py | 19,012 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.dotenv_values",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_... |
43573632955 | import argparse
import os
import geopmpy.agent
import geopmpy.hash
from experiment import util
from experiment import launch_util
from experiment import machine
from experiment.monitor import monitor
from experiment.frequency_sweep import frequency_sweep
def launch_configs(output_dir, app_conf_ref, app_conf, default... | geopm/geopm | integration/experiment/energy_efficiency/barrier_frequency_sweep.py | barrier_frequency_sweep.py | py | 4,283 | python | en | code | 79 | github-code | 6 | [
{
"api_name": "experiment.launch_util.LaunchConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "experiment.launch_util",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "experiment.util.geopmread",
"line_number": 23,
"usage_type": "call"
},
{
... |
38223411256 | """voteherder URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-ba... | FarsetLabs/vote-herder | voteherder/urls.py | urls.py | py | 3,382 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "views.UserViewSet",
"line_number": 46,
"usage_type": "argument"
},
{
... |
12853738810 | from __future__ import print_function, division, absolute_import
from fontTools.misc.py23 import *
from fontTools.misc import sstruct
from fontTools.misc.textTools import safeEval
from . import DefaultTable
import struct
nameRecordFormat = """
> # big endian
platformID: H
platEncID: H
langID: H
nameID: H
... | tyao1/qfapp | fonttools/Lib/fontTools/ttLib/tables/_n_a_m_e.py | _n_a_m_e.py | py | 5,799 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "fontTools.misc.sstruct.calcsize",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "fontTools.misc.sstruct",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "struct.unpack",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "... |
14096545707 | #!/usr/bin/env python
import sys
import os
from setuptools import setup, find_packages
assert sys.version_info >= (3, 7), 'We only support Python 3.7+'
sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'asana'))
# Safely read the version number from the version.py file
version = {}
with open('asana/version... | Asana/python-asana | setup.py | setup.py | py | 1,321 | python | en | code | 281 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"... |
74281366907 | import torch.nn as nn
from simpletrainer.components import LabelSmoothing
def test_label_smoothing():
label_smoothing = LabelSmoothing(rate=0.1)
class FakeTrainer:
def __init__(self, model) -> None:
self.model = model
class SimpleModel(nn.Module):
def __init__(self) -> None:... | Moka-AI/simpletrainer | tests/test_components/test_label_smoothing.py | test_label_smoothing.py | py | 578 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "simpletrainer.components.LabelSmoothing",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "... |
35117833161 | import os
import cv2
def get_glimpse(image, wk=False, legend="current image"):
""" show a small overview of an image (10% of original size)
:param img: image
:param wk: true if waitkey active
:return:
"""
if wk is True:
wktime = 0
else:
wktime = 50
dim = (int(image.sha... | alix-tz/GT_generator | GT_generator/gt_utils.py | gt_utils.py | py | 1,043 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "cv2.resize",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cv2.imshow",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_num... |
42134719725 | import numpy as np
import scipy.stats as stats
#no. of questions
n=10
#probalility of correct
p=0.5
#no. of simulation
num=1000
# Simulate all exam attempts at once
guesses = np.random.choice([True, False], size=(num, n))
num_correct = np.sum(guesses, axis=1)
# Calculate the probability of at least 8 correct a... | gadepall/digital-communication | exemplar/12/13/3/85/codes/main.py | main.py | py | 523 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "numpy.random.choice",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.sum",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line... |
72624538747 | import math
import random
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from stl import mesh
from mpl_toolkits import mplot3d
import numpy as np
import json
import argparse
import os
from circularpotts.hamiltonian import (
hamiltonian,
delta_hamiltonian,
accept_move_delta,
al... | RemieJanssen/CircularPotts | src/circularpotts/main.py | main.py | py | 9,026 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.cos",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "math.sin",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 27,
"... |
19538275872 | # All Rights Reserved 2017
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | elajkat/network-test | networking_test/db/foo/foo_db.py | foo_db.py | py | 3,801 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "oslo_log.log.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "oslo_log.log",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "neutron_lib.db.model_base.BASEV2",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_nam... |
44418438214 | import requests
import socket
import json
damin = input("Enter the damin: ")
req = requests.get("https://"+damin)
print(req.headers,"\n")
ip = socket.gethostbyname(damin)
print(f"ip Address of {damin} is {ip}","\n")
req2 = requests.get("https://ipinfo.io/"+ip+"/json")
#print(req2)
data = json.loads(req2... | Zero-Day-attack/Ddos_Attack | info.py | info.py | py | 393 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "socket.gethostbyname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_n... |
71895940667 | import numpy as np
from typing import Tuple, List, Union, Any
# dimensions d'une matrice sous forme d'un tuple de listes d'indices de lignes et de colonnes
# par exemple, _dims(M) = ([0,1,2,3], [0,1,2,3,4,5,6,7,8])
# Cette précomputation est utilisée pour éviter de recalculer la même liste d'indices
# dans les calculs... | flengyel/Operations-Tensorielles-Simpliciales | operations_tensorielles_simpliciales.py | operations_tensorielles_simpliciales.py | py | 10,161 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.ndarray",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_nu... |
5291349922 | import av
import math
from pyglet.image import ImageData
from pyglet.media import StreamingSource
from pyglet.media.codecs import AudioFormat, VideoFormat, AudioData
from jerboa.media import MediaType, AudioConfig, VideoConfig
from jerboa.timeline import FragmentedTimeline
from .decoder import SimpleDecoder, Skipping... | pawel-glomski/jerboa | src/jerboa/media/source/source.py | source.py | py | 4,343 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "av.VideoFormat",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "av.AudioFormat",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "av.AudioLayout",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "av.stream",
"line_nu... |
13739160308 | from django.conf.urls import patterns, include, url
from django.contrib import admin
from locations.api import UserResource, LocationResource
from tastypie.api import Api
admin.autodiscover()
api = Api(api_name='v1')
api.register(UserResource())
api.register(LocationResource())
urlpatterns = patterns('',
# Examp... | Xennis/django_sample_server | server/sample_server/urls.py | urls.py | py | 737 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "tastypie.api.Api",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "... |
30889793305 | # -*- coding: utf-8 -*-
from collective.blueline.portlets import blueline as bluelineprofile
from collective.blueline.testing import INTEGRATION_TESTING
from plone.app.portlets.storage import PortletAssignmentMapping
from plone.app.testing import setRoles
from plone.app.testing import TEST_USER_ID
from plone.portlets.i... | collective/collective.blueline | src/collective/blueline/tests/test_portlet.py | test_portlet.py | py | 4,246 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "collective.blueline.testing.INTEGRATION_TESTING",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "plone.app.testing.setRoles",
"line_number": 32,
"usage_type": "cal... |
73816748666 | """This cog provides error handling for King Arthur."""
from discord import Message
from discord.ext import commands
from discord.ext.commands import Cog
from arthur.bot import KingArthur
from arthur.utils import generate_error_message
class ErrorHandler(Cog):
"""Error handling for King Arthur."""
def __ini... | python-discord/king-arthur | arthur/exts/error_handler/error_handler.py | error_handler.py | py | 2,037 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "arthur.bot.KingArthur",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "discord.Message",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "discor... |
28844906532 | # Author: Lukas Rauch
# Data: 23.05.2022
import open3d as o3d
import numpy as np
import pyvista as pv
import vtk
import time
def wall_scan():
print("\n=====================================================")
print("EXAMPLE: Real World Wall Scan")
print("====================================================... | RauchLukas/GBK2022-Paper_E09 | examples/example_wall_scan.py | example_wall_scan.py | py | 3,869 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "open3d.io.read_point_cloud",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "open3d.io",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "open3d.utilit... |
18843048066 | import pytest
from clean.entities.token import UserToken
from clean.auth.abs import DecodeToken
from clean.exceptions import AuthException
perms = {
'user': {
'req': 'user'
},
'rule': {
'path': 'scopes.bar',
'op': 'eq',
'value': 'foo'
}
}
class VerifyTokenAuth(DecodeT... | bahnlink/pyclean | tests/clean/auth/test_auth_imp.py | test_auth_imp.py | py | 2,136 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "clean.auth.abs.DecodeToken",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "clean.entities.token.UserToken",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 37,
"usage_type": "call"
},
{
"api_name"... |
26167102884 | # AUTHOR: CHALRIE BECKER
# DATE: 06/13/2019
import xarray as xr
import numpy as np
from varlist import var_list
import time
import glob
import matplotlib.pyplot as plt
t0 = time.time()
# Calculate GDD (Growing Degree Days)
def calc_GDD(tmin, tmax):
adjusted_tmin = np.where(tmin <= 283.15, 283.15, tmin)
... | charlie-becker/Xarray_subset | subset.py | subset.py | py | 3,725 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 18... |
39931666214 | # -*- coding: utf-8 -*-
from __future__ import print_function
import numpy as np
np.random.seed(1337) # for reproducibility
data_path = '../data'
from keras.preprocessing import sequence
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
import pandas
import os
maxlen = ... | bolan2014/JuliaTaxi | src/regression_rnn.py | regression_rnn.py | py | 2,358 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
72087997309 | import json
import jupyter_server.base.handlers
import tornado
import tornado.escape
import tornado.httpclient
import tornado.httputil
import tornado.web
from ..config import has_proxy_key
from ..config import is_jupyter_server_proxy_enabled
from ..config import lab_info_path
from ..config import lab_url_key
# noin... | dcs4cop/xcube-jl-ext | xcube_jl_ext/handlers/labinfo.py | labinfo.py | py | 1,968 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "jupyter_server.base.handlers.base",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "jupyter_server.base.handlers",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "config.lab_info_path",
"line_number": 21,
"usage_type": "name"
},
... |
42579070066 | import requests
from flask import current_app
from main.models import Waybill, TrackingInfo
import datetime
def inbound_query(inbound_num):
waybill = Waybill.objects.raw({'w_no': inbound_num}).first()
if waybill is not None:
res = requests.get(
"http://178.79.168.53:6001/api/v1.0/inbound_n... | quinn-lee/novalinks | main/utils/inbounds.py | inbounds.py | py | 1,633 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "main.models.Waybill.objects.raw",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "main.models.Waybill.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "main.models.Waybill",
"line_number": 8,
"usage_type": "name"
},
{
... |
19569226972 | import socket
import json
HOST = '10.10.10.168'
PORT = 8080
try:
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sc:
sc.connect((HOST, PORT))
print("[+] Connected to host {} : {}".format(HOST, PORT))
print("[+] Sending data through socket")
data = {
"method" : "get",
"doc" : "/etc/issue",
... | naiame-neltheri/WriteUps | HackTheBox/Obscurity/requestHandler.py | requestHandler.py | py | 604 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "socket.socket",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
... |
42217119694 | # encoding: utf-8
# ******************************************************
# Author : zzw922cn
# Last modified: 2017-12-09 11:00
# Email : zzw922cn@gmail.com
# Filename : libri_preprocess.py
# Description : Feature preprocessing for LibriSpeech dataset
# ***********************************************... | JoeyHeisenberg/model_speech_final | Automatic_Speech_Recognition/speechvalley/feature/libri/libri_preprocess.py | libri_preprocess.py | py | 22,108 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.ones",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number... |
26703833265 | import argparse
import asyncio
import json
import socket
from _thread import start_new_thread
import config
import time
import websockets
class AngerBroadcaster:
def __init__(self, server_port=5556):
self.client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.server_host = config.SERVER... | LanyK/TheAngerGames | bombangerman/server/AngerBroadcaster.py | AngerBroadcaster.py | py | 5,620 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "socket.socket",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "config.SERV... |
35619025815 | from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin, PermissionDenied
from django.views.generic import ListView, DetailView, CreateView
from django.views.generic.edit import UpdateView, DeleteView
from django.urls import reverse_lazy, reverse
from django.shortcuts import get_object_or_404
fro... | Iassirskyi/learning_blog_python_django | articles/views.py | views.py | py | 3,299 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.Article",
"line_number": 12,
"usage_type": "name"
},... |
15229224008 | from flask import Blueprint,request, render_template, session, redirect, url_for, flash
from markupsafe import escape
from .modules import User
from . import db
views = Blueprint('views', __name__)
@views.route('/', methods=["POST", "GET"])
def index():
email = None
if "username" in session:
username... | maggie197/super-car-check | website/views.py | views.py | py | 871 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.request.method",
... |
1844634050 | from lib.rpc_methods import get_prgtx_info, get_best_block
from pprint import pprint
from collections import OrderedDict
"""
Sort the set in ascending order by "testHeight" and “ProRegTx hash”.
“testHeight” is determined for each individual entry and equals the “last paid height” (or “registered height” if the master... | jhodges10/dash-nexus-mnapi | containers/mn_api/lib/payment_rank.py | payment_rank.py | py | 1,855 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "lib.rpc_methods.get_prgtx_info",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "lib.rpc_methods.get_best_block",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 40,
"usage_type": "call"
}
] |
11783422706 | import argparse
import lstm2
import numpy as np
# fix random seed for reproducibility
np.random.seed(7)
'''
Read config file and set up variables
'''
parser = argparse.ArgumentParser(description='Create multi-variate LSTM models')
parser.add_argument('config_file', nargs='?', help='config_file to use')
parser.add_ar... | thongnbui/MIDS_capstone | code/lstm2_predict.py | lstm2_predict.py | py | 1,112 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lstm2.read_... |
8109525618 | from __future__ import print_function
import os
import random
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
from torch.autograd import Variable
import torch.nn.functional as F
import skimage.io
import numpy as np
from... | HongqingThomas/V-slam-based-on-nerf | src/deeppruner_simplify/deeppredict.py | deeppredict.py | py | 4,427 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "models.config.config.cost_aggregator_scale",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "models.config.config",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "torch.backends",
"line_number": 29,
"usage_type": "attribute"
},
... |
7740826261 |
import keras
from keras.models import Sequential
from keras.layers import Dense, Conv2D, MaxPool2D, Flatten, Dropout, Rescaling, RandomFlip, RandomRotation, BatchNormalization, Conv1D, MaxPool1D
from keras.preprocessing.image import ImageDataGenerator
from keras.optimizers import Adam,RMSprop
from keras import layers
... | pragyasresta29/Kaggle3DprintingIssues | src/final_model.py | final_model.py | py | 5,223 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"lin... |
28355945115 | from django.shortcuts import render, get_object_or_404, redirect
from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin
from .models import Post, Donation ,Stock ,Comment , Wishlist, Predictor
from django.views.generic import (ListView, DetailView, CreateView,UpdateView, DeleteView)
from .forms... | jash6/StockGuru | blog/views.py | views.py | py | 12,225 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Post.objects.all",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.s... |
44134237025 | from nltk.stem import WordNetLemmatizer
import nltk
import pyttsx3
import sys
import re
from urllib.request import urlopen
from time import strftime
import webbrowser
import smtplib
import requests
import subprocess
from bs4 import BeautifulSoup
import wikipedia
import wolframalpha
import ctypes
import subprocess
impor... | JayanthTunk/Emma-VirtualAssistant-Chatbot | Emma Smart Assistant + Chatbot.py | Emma Smart Assistant + Chatbot.py | py | 39,498 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.op... |
7941217811 | '''
Created by: Errol Jordheim
Final Project for Computational Physics PHYS 416
April 17, 2018
View README.txt for details of the program and theoretical background
'''
# Import packages for mathematics and plotting
import numpy as np
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d.axes3d as p3
... | ejordheim/frisbee_dynamics | execution.py | execution.py | py | 7,728 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "initial_cond.initial_cond",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "wind.wind",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_n... |
1584158700 | import yaml
import click
import cv2
import torch
import ssd
import ssd.transforms as T
@click.command()
@click.argument('im_path', type=click.Path(exists=True, dir_okay=False))
@click.option('-c', '--checkpoint', required=True,
type=click.Path(exists=True, dir_okay=False))
@click.option('--traced/--n... | Guillem96/ssd-pytorch | ssd/inference.py | inference.py | py | 2,279 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "yaml.safe_load",... |
22551175355 | import os
from typing import Optional
def delete_dataset_file(path: Optional[str]) -> None:
"""
Deletes a dataset locally using its path from the database
"""
if os.path.exists(path):
try:
os.remove(path)
return
except Exception as ex:
raise OSError(... | ArturZhukovets/Metrics-evaluation | app/services/translations_utils/sync_with_database.py | sync_with_database.py | py | 440 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.remove",
"line_number... |
39830538307 | import sqlite3
class SaltyDatabase():
def __init__(self):
self.match_count = 0
self.con = sqlite3.connect('SaltDatabase.db')
self.backup_con = sqlite3.connect('SaltDatabaseBU.db')
with self.con:
self.con.execute("""CREATE TABLE IF NOT EXISTS SBMA... | xxxFRIARxxx/SaltyBot | SaltyDatabase.py | SaltyDatabase.py | py | 9,029 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlite3.IntegrityError",
"line_number": 50,
"usage_type": "attribute"
}
] |
69899468669 | from selenium import webdriver as wb
from selenium.webdriver.common.keys import Keys
from WebScraping.beautifulsoup import BeautifulSoup as bs
import time
driver = wb.Chrome()
url = ('https://www.youtube.com/results?search_query=mnet')
driver.get(url)
body = driver.find_element_by_tag_name('body')
body.send_keys(Key... | jiseungmin/PythonProJect | WebScraping/Mnet/mnetsearch.py | mnetsearch.py | py | 805 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.keys.Keys.PAGE_DOWN",
"line_number": 12,
"usage_type": "attribute"
... |
39048044207 | import json
import boto3
def lambda_handler(event, context):
# Reading 'body' from event
body = event.get("body")
body_json = json.loads(body)
if not body_json:
return {
"statusCode": 400,
"body": json.dumps("Not valid payload")
}
# Return error mesag... | micha3l999/ucsg_fast_evaluation | update_user_profile/lambda_function.py | lambda_function.py | py | 2,485 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 3... |
29002747549 | #! /usr/bin/env python
import configobj
import os
import os.path
import shlex
import shutil
import sqlalchemy as sqla
# Interface to Gc3libs
import gc3libs
from gc3libs import Application, Run
from gc3libs.cmdline import SessionBasedScript
from gc3libs.workflow import SequentialTaskCollection, ParallelTaskCollection... | acg-team/tral | tral/examples/workflow/tandem_repeat_annotation_workflow.py | tandem_repeat_annotation_workflow.py | py | 14,486 | python | en | code | 24 | github-code | 6 | [
{
"api_name": "gc3libs.Application",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "gc3libs.log.info",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "gc3libs.log",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "gc3libs.quantit... |
4897886271 | #!/usr/bin/env bash
"""true" '''\'
set -e
eval "$(conda shell.bash hook)"
conda deactivate
conda activate toucan_conda_venv
exec python "$0" "$@"
exit $?
''"""
import datetime
import os
import re
import shutil
import sys
import textwrap
import unicodedata
import warnings
from typing import List
import torch
from pydu... | CherokeeLanguage/IMS-Toucan | run_chr_osiyo_tohiju.py | run_chr_osiyo_tohiju.py | py | 3,025 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "InferenceInterfaces.InferenceFastSpeech2.InferenceFastSpeech2",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 33,
"usage_type": "nam... |
72531740349 | import json
from contextlib import suppress
from pathlib import Path
from typing import Any, Optional, Union, cast
from models_library.basic_regex import MIME_TYPE_RE
from models_library.generics import DictModel
from models_library.services import PROPERTY_KEY_RE
from pydantic import (
AnyUrl,
BaseModel,
... | ITISFoundation/osparc-simcore | packages/dask-task-models-library/src/dask_task_models_library/container_tasks/io.py | io.py | py | 6,089 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pydantic.Extra.forbid",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pydantic.Extra",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.A... |
9985515590 | from collections.abc import Sequence
import discord
class Helpers:
async def get_members(self, ctx,role_name):
role = discord.utils.find(
lambda r: r.name == role_name, ctx.guild.roles)
users = []
for user in ctx.guild.members:
if role in user.roles:
... | joelsewhere/lincoln-loft-bot | components/helpers.py | helpers.py | py | 1,385 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discord.utils.find",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discord.utils",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "collections.abc.Sequence",
"line_number": 38,
"usage_type": "argument"
}
] |
43193681216 | #!/usr/bin/env python3
import rospy
import logging
import smach
import smach_ros
from std_msgs.msg import String, UInt8
from AgentStates.idle import Idle
from AgentStates.gcs_connection import GCSConnection
from AgentStates.mission_upload import MissionUpload
from AgentStates.mission_commanded import MissionCom... | miggilcas/muav_state_machine | scripts/agent_sm_node.py | agent_sm_node.py | py | 4,888 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rospy.init_node",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "rospy.get_param",... |
24338847141 | import io
import os
import re
import string
import logging
import datetime
import numpy as np
import tensorflow as tf
from tensorflow.keras import layers
import argparse
import time
from typing import List
today_date = datetime.date.today().strftime("%b_%d_%Y")
start_time = time.time()
start_time_fmt = time.strftime("... | TheJacksonLaboratory/wn2vec | scripts/run_w2v.py | run_w2v.py | py | 3,548 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.date.today",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.strftime",
... |
10721765859 | class Solution(object):
def criticalConnections(self, n, connections):
"""
:type n: int
:type connections: List[List[int]]
:rtype: List[List[int]]
"""
from collections import defaultdict
self.graph = defaultdict(list)
for a,b in conne... | milu-buet/Competitive-Programming | Interview/problems/GRaph/6.bridge.py | 6.bridge.py | py | 1,181 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
}
] |
31359717482 | """
Functions for working with anatomical images.
Includes reading and writing nifti files, interfacing with FSL, and modifying
anatomical images where necessary.
"""
import os
import nibabel as ni
import numpy as np
import nipype.interfaces.fsl as fsl
from scipy import ndimage
def load_nifti(fname):
img = ni.l... | nw-duncan/scalp-distance | scalpdist/anat.py | anat.py | py | 2,649 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nibabel.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "nibabel.Nifti1Image",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
22371303057 | from typing import List
def productExceptSelf(nums: List[int]) -> List[int]:
if not nums: return False
arr = [1] * len(nums)
pi = pj = 1
for i in range(len(nums)):
j = -1-i
arr[i]*=pi; arr[j]*=pj
pi *= nums[i]; pj *= nums[j]
print(arr)
ret... | blunderthunder/GoAlgPy | product_except_self/main.py | main.py | py | 435 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 3,
"usage_type": "name"
}
] |
2965487044 | import werkzeug
from odoo.addons.auth_oauth.controllers.main import OAuthLogin
class OAuthLoginGsuite(OAuthLogin):
def list_providers(self):
res = super(OAuthLoginGsuite, self).list_providers()
for provider in res:
if provider.get('hd'):
params = dict(
... | Tawasta/server-tools | auth_oauth_gsuite/controllers/oauth_login.py | oauth_login.py | py | 511 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "odoo.addons.auth_oauth.controllers.main.OAuthLogin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "werkzeug.url_encode",
"line_number": 17,
"usage_type": "call"
}
] |
2080937101 | #!/usr/local/bin/python
"""
In England the currency is made up of pound, L, and pence, p, and there are eight coins in general circulation:
1p, 2p, 5p, 10p, 20p, 50p, L1 (100p) and L2 (200p).
It is possible to make L2 in the following way:
1L1 + 150p + 220p + 15p + 12p + 31p
How many different ways can L2 be made us... | bhuber/pyler | py/problem31.py | problem31.py | py | 2,665 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "ipdb.set_trace",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "ipdb.set_trace",
"line_number": 64,
"usage_type": "call"
}
] |
4742146071 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import sklearn.linear_model
from alpha_vantage.timeseries import TimeSeries
api_key = '8FIYTT49ZEZT2GV5'
ts = TimeSeries(key=api_key, output_format='pandas')
data, meta_data = ts.get_daily_adjusted(symbol='SPY', outputsize = 'full')
data... | obawolo/Capstone | linRegNoSTD.py | linRegNoSTD.py | py | 655 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alpha_vantage.timeseries.TimeSeries",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.c_",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.c_",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sklear... |
25530570942 | import pandas as pd
import matplotlib.pyplot as plot
import re
"""Write with python 3.5.1"""
def merge_dfs(df1, df2):
"""merge two dfs"""
return pd.merge(df1, df2, how='left', left_on='Country', right_on='Country')
def print_line():
"""print separate line"""
print('-----------------------------------... | SIXSIXSIXX/COMP9321Ass1 | ass_1.py | ass_1.py | py | 4,312 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.merge",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"... |
27228431621 | import os
import sys
import argparse
import logging
import shutil
import openai
from pathlib import Path
from pydub import AudioSegment
from pytube import YouTube
log_level = os.environ.get('LOG_LEVEL', 'INFO').upper()
logging.basicConfig(level=log_level if log_level in {
'INFO', 'DEBUG'} else 'INF... | rightson/youtube-transcript | youtube_audio_transcript.py | youtube_audio_transcript.py | py | 5,931 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
... |
11682639173 | from datetime import datetime
import serial
import time
import schedule
import csv
def saveCSV(data:dict, stamp:str) -> None:
try:
with open(f'Engine\data\\temperaturas_{stamp}.csv', 'x') as csv_file:
fields = list(data.keys())
writer = csv.DictWriter(csv_file,fields)
... | Pukiretsu/Arduino_Sensors | Engine/DHT_Temperatures.py | DHT_Temperatures.py | py | 2,370 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.DictWriter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "csv.DictWriter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
39254566263 | import cv2.cv as cv
import pyopencl as cl
import numpy
import Image
import statsFunctions as stats
TRIALRUNS = 5
print("Loading constants...")
constantFile = open('constants.txt','r')
c1 = float(constantFile.readline())
c2 = float(constantFile.readline())
constantFile.close()
print("Done!")
print("")
... | svatasoiu/laser-rangefinder | Laser Rangefinder/usbCamera.py | usbCamera.py | py | 10,068 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.cv.NamedWindow",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "cv2.cv",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "cv2.cv.CV_WINDOW_AUTOSIZE",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "cv2.cv.Named... |
30883194735 | import os
from zope.interface import implements
from zope.component import adapts
from Products.Reflecto.interfaces import IReflectoFile
try:
from zopyx.txng3.core.interfaces import IIndexableContent
from zopyx.txng3.core.content import IndexContentCollector
except ImportError:
from textindexng.interfaces.i... | collective/Products.Reflecto | Products/Reflecto/catalog.py | catalog.py | py | 1,997 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "zope.interface.implements",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "textindexng.interfaces.indexable.IIndexableContent",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "zope.component.adapts",
"line_number": 18,
"usage_type":... |
29941396222 | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 30 12:23:49 2020
@author: Gaurav
"""
import pandas as pd
import re
from nltk.corpus import stopwords
from nltk.stem import PorterStemmer
from nltk.stem import WordNetLemmatizer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes impor... | GauravRajwada/Data-Science | Natural Language Process/Emotions_Text_LSTM.py | Emotions_Text_LSTM.py | py | 2,537 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.to_numeric",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "nltk.stem.PorterStemmer",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "nltk.stem.W... |
5957531116 | # coding:utf-8
from requests import Request, Session
from unitest.common.Logger import *
import unittest
from time import sleep
from tomorrow import threads
import requests
import json
from unitest.common.VarConfig import *
from unitest.common.ParseExcel import ParseExcel
#创建 excel数据文件的解析对象
excelObj = ParseExcel()
#将... | qiangzeliang/recode_framework | unitest/case/dhm - 副本.py | dhm - 副本.py | py | 7,607 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "unitest.common.ParseExcel.ParseExcel",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 50,
"usage_type": "call"
},
{
"api_nam... |
30550748471 | from config import *
from logpsi import make_logpsi, make_quantum_score
from orbitals import sp_orbitals
from jax.flatten_util import ravel_pytree
def fermiflow(depth, spsize, tpsize, Nf, L, n, dim, K, nk):
from ferminet import FermiNet
def flow_fn(x, k):
model = FermiNet(depth, spsize, tpsize, Nf,... | fermiflow/hydrogen | tests/test_quantum_sr.py | test_quantum_sr.py | py | 1,784 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "ferminet.FermiNet",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "jax.flatten_util.random.PRNGKey",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "jax.flatten_util.random",
"line_number": 19,
"usage_type": "attribute"
},
{
"ap... |
17516463758 | import torch
from torch import nn
from .functions import *
class UNetConvBlock(torch.nn.Module):
def __init__(
self,
in_size: int,
out_size: int,
pad: bool,
layer_norm: bool,
norm_mode: str,
data_dim: int,
kernel_size: ... | broadinstitute/CellMincer | cellmincer/models/components/blocks.py | blocks.py | py | 5,527 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
27535360688 | from typing import Dict, Any
from fastapi import HTTPException
class FinapiResponse:
def __init__(
self,
success: bool | None = None,
data: Any = None,
message: str = "",
status_code: int = 0,
):
self.success = success
self.data = data
self.mess... | Fyleek/finapi | finapi/models/responses/FinapiResponse.py | FinapiResponse.py | py | 771 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Any",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 22,... |
12700960302 | from collections import deque
def marbleEscape(board, red_x, red_y, blue_x, blue_y):
Q, history = deque([(red_x, red_y, blue_x, blue_y, 0)]), {(red_x, red_y, blue_x, blue_y)}
while Q:
red_x, red_y, blue_x, blue_y, tilt_count = Q.popleft()
if tilt_count > 10: print(-1); return
if board[r... | MinChoi0129/Algorithm_Problems | BOJ_Problems/13460.py | 13460.py | py | 2,482 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 4,
"usage_type": "call"
}
] |
25754978743 | import os
import shutil
result_dir= r'C:\Users\PC\Desktop\case1_0901\result' #大文件夹
dir_names = os.listdir(result_dir) # 打开大文件夹后的各个小文件夹名dir_names
final_file='parameter.txt'
for dir in dir_names: #遍历每一个小文件夹
file_path = result_dir+'\\'+dir
file_names = os.listdir(file_path) #打开小文件夹后每一个CSV文件的名称
for file in file... | zhengjunhao11/model-updating-framework | program_framework/result_get.py | result_get.py | py | 950 | python | zh | code | 1 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"li... |
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