content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
"""
class Event:
def __init__(
self, relative_match_position, sample,
incomming_data, correlation, percentage):
self.data = {
"relative_match_position": relative_match_position,
"sample": sample,
"incoming_data": incomming_data,
"corre... | [
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22... | 2.264264 | 333 |
"""
User Entity Module
"""
# Standard Library
import datetime
# Third Party Library
from django.utils import timezone
from django.contrib.auth.models import User
from django.db.models.aggregates import Count
from django.contrib.auth.hashers import make_password
| [
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import datetime
import os
from io import BytesIO
import boto3
from botocore.exceptions import ClientError
_S3_ACCESS_KEY = os.environ["AWSAccessKeyId"].replace("\r", "")
_S3_SECRET_KEY = os.environ["AWSSecretKey"].replace("\r", "")
_S3_BUCKET_NAME = "coronavirus-calculator-data"
DATESTRING_FORMAT_READABLE = "%A %d %... | [
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#!/usr/bin/env python
# coding: utf-8
# In[12]:
import tensorflow as tf
import numpy as np
import keras
import pandas as pd
import os
import matplotlib.pyplot as plt
dropout_rate = 0.4
# In[2]:
# In[3]:
#image = tf.placeholder(tf.float32 , [batch_size,224,224,3])
#x = image_layer(image)
#print(x.shape)
# I... | [
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"""
This project trains an AI to detect german traffic signs and sends the recognized signs to ros
TODO:
- interpolate ROI from CSV to new dimensions
- integrate ROS platform
Authors: Jan Fuesting
Last edited: 10.09.2018
"""
import os
from Misc import Misc
from Recognition import Recognition
from Training ... | [
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# -*- coding: utf-8 -*-
"""
权限表
"""
from typing import Optional
from pydantic import BaseModel
class RoleCreate(BaseModel):
"""
创建角色字段
"""
role_id: int
role_name: str
permission_id: int
re_mark: Optional[str] = None
class RoleUpdate(BaseModel):
"""
角色更新字段
"""
role_name... | [
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487... | 1.984211 | 190 |
import pyiem.cscap_utils as util
drive = util.get_driveclient(util.get_config(), "cscap")
spr_client = util.get_spreadsheet_client(util.get_config())
res = drive.files().list(q="title contains 'Plot Identifiers'").execute()
for item in res["items"]:
if item["mimeType"] != "application/vnd.google-apps.spreadsheet"... | [
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43... | 2.614035 | 228 |
from airflow import AirflowException
| [
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# -*- coding: utf-8 -*-
# Copyright (c) 2016-2020 by University of Kassel and Fraunhofer Institute for Energy Economics
# and Energy System Technology (IEE), Kassel. All rights reserved.
import numpy as np
import pytest
import pandapower as pp
import pandapower.networks as nw
from pandapower.pd2ppc import _pd2ppc
f... | [
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6... | 3.013333 | 225 |
""" Class to organize QA for a full DESI production run
"""
from __future__ import print_function, absolute_import, division
import numpy as np
import glob, os
import warnings
from lvmspec.io import get_exposures
from lvmspec.io import get_files
from lvmspec.io import read_frame
from lvmspec.io import read_meta_fram... | [
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... | 3.051095 | 137 |
import io
import os
import nest_asyncio
import uvicorn
# from PIL import Image
from dotenv import load_dotenv
from fastapi import FastAPI, UploadFile, File, Request
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
import base64
# from coreai.tichHop import Vgg16DetectFace
from rete imp... | [
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... | 2.291469 | 844 |
import tkinter as tk
if __name__ == '__main__':
master = tk.Tk()
dict_entries = {
'item 1': int,
'item 2': str,
}
master.title('Hello World!')
i = 0
dict_tk_entry = {}
for key, val in dict_entries.items():
tk.Label(master, text=str(key)).grid(row=i)
dict_... | [
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... | 2 | 332 |
#THIRD PARTY IMPORTS
from datetime import datetime
from views.utils import RequiredLoginViewMixin
from flask.globals import current_app, g
from flask.helpers import send_file
from flask.templating import render_template
from flask.views import MethodView
import os
import shutil
# LOCAL IMPORTS
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20... | 3.038095 | 105 |
from collections import deque
print(stock_availability(["choco", "vanilla", "banana"], "delivery", "caramel", "berry"))
print(stock_availability(["chocolate", "vanilla", "banana"], "delivery", "cookie","banana"))
print(stock_availability(["chocolate", "vanilla", "banana"], "sell"))
print(stock_availability(["chocola... | [
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... | 3.193717 | 191 |
from .fasthdl import module, In, Out, Reg, Wire, X # noqa
__version__ = "0.0.1"
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from urllib.parse import quote_plus
import click
from sqlalchemy import Boolean, Column, ForeignKey, Integer, String, create_engine
from sqlalchemy.exc import OperationalError
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
Base = declarative_base()
def get_db_connect... | [
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"""Core YAML Path classes."""
# Establish the version number common to all components
__version__ = "3.6.3"
from yamlpath.yamlpath import YAMLPath
from yamlpath.processor import Processor
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... | 3.315789 | 57 |
#=============================================================================
#
# Copyright (c) Kitware, Inc.
# All rights reserved.
# See LICENSE.txt for details.
#
# This software is distributed WITHOUT ANY WARRANTY; without even
# the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
# PURPOSE. ... | [
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2,
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2,
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... | 2.857988 | 1,352 |
from math import floor
from random import shuffle
from pandas import DataFrame
import numpy as np
from matplotlib import pyplot
from PIL import Image
BOT_USER = 'usr-71'
TRAIN_SET_PERCENT = 0.75
SCALE_X = 299
SCALE_Y = 299
| [
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... | 2.973684 | 76 |
# emacs: -*- mode: python-mode; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the NiBabel package for the
# copyright and license terms.
#
### ### ### #... | [
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... | 2.469433 | 6,265 |
import pandas as pd
from .base import *
from tqdm import tqdm | [
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] | 2.818182 | 22 |
import json
import logging
import os
from typing import Any, Dict, Optional
import boto3
LOGGER = logging.getLogger()
LOGGER.setLevel(logging.INFO)
| [
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# -*- coding: utf-8 -*-
"""Script writes out numpy archive of nd AUC and peak latency array data"""
# Authors: Kambiz Tavabi <ktavabi@gmail.com>
# License: MIT
from os import path as op
import time
import numpy as np
from mne import read_evokeds
from badbaby import parameters as params
from badbaby import return_dat... | [
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# coding:UTF-8
'''
Date:20161030
@author: zhaozhiyong
'''
from math import pow
class node:
'''树的节点的类
'''
def split_tree(data, fea, value):
'''根据特征fea中的值value将数据集data划分成左右子树
input: data(list):数据集
fea(int):待分割特征的索引
value(float):待分割的特征的具体值
output: (set1,set2)(tuple):分... | [
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... | 1.369912 | 2,506 |
# Calculator using Python Tkinter
from tkinter import Tk, Entry, Button, StringVar
base = Tk()
calculator__pad = Calculator(base)
base.mainloop()
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83... | 2.77193 | 57 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import textwrap
import unittest
from io import StringIO
from calmjs.parse import asttypes
from calmjs.parse.parsers.es5 import Parser
from calmjs.parse.parsers.es5 import parse
from calmjs.parse.parsers.es5 import read
from calmjs.parse.unparsers.es5 imp... | [
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... | 2.706818 | 440 |
from tkinter import *
root = Tk()
root.geometry("300x400")
btn_fill = Button(root, text="Button fill")
btn_fill.pack(fill=X)
btn_expand = Button(root, text="Button expand ")
btn_expand.pack(expand=YES)
btn_side = Button(root, text="Button side")
btn_side.pack(side=LEFT)
root.mainloop()
| [
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11,
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2625,
21864,
6070,
4943,
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... | 2.589286 | 112 |
from sklearn import datasets
import matplotlib.pyplot as plt
import matplotlib.cm as cmx
import matplotlib.colors as colors
import numpy as np
from mlfromscratch.unsupervised_learning import PCA
if __name__ == "__main__":
main() | [
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355... | 3.078947 | 76 |
"""
hubspot workflows api
"""
from hubspot3.base import BaseClient
from hubspot3.utils import get_log
WORKFLOWS_API_VERSION = "3"
class WorkflowsClient(BaseClient):
"""
The hubspot3 Workflows client uses the _make_request method to call the
API for data. It returns a python object translated from the js... | [
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6404,
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33249,
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62,
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62,
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366... | 2.509091 | 440 |
import os
import io
import sys
import time
import string
import random
import pstats
import unittest
import cProfile
import itertools
import statistics
from unittest.mock import patch, MagicMock
import bucky3.statsd as statsd
if __name__ == '__main__':
unittest.main()
| [
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... | 3.097826 | 92 |
from collections import OrderedDict
if __name__ == '__main__':
main()
| [
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# copyright 2003-2013 LOGILAB S.A. (Paris, FRANCE), all rights reserved.
# contact http://www.logilab.fr/ -- mailto:contact@logilab.fr
#
# This file is part of astroid.
#
# astroid is free software: you can redistribute it and/or modify it
# under the terms of the GNU Lesser General Public License as published by the
#... | [
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14,
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397... | 3.470968 | 310 |
from weighted_random import random_choice
import requests
import random
import uuid
import json
import logging
from ipaddress import IPv4Address, AddressValueError
from mixpanel import Mixpanel
from constants import *
from typing import List, ClassVar, Any, Optional
import sys
import threading
from random_user import g... | [
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35... | 2.349738 | 1,524 |
#!/usr/bin/env python
''' ODC-GEE Setup '''
from setuptools import setup, find_packages
with open('README.md', 'r', encoding='utf-8') as fh:
LONG_DESCRIPTION = fh.read()
setup(name='odc-gee',
version='2.25',
author='Andrew Lubawy',
author_email='andrew.m.lubawy@ama-inc.com',
description='... | [
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... | 2.17052 | 692 |
import os
import glob
import logging
import random
import geckodriver_autoinstaller
from selenium import webdriver
from selenium.webdriver.common.proxy import Proxy, ProxyType
from .deepl import Translator
from .srt_parser import wrap_line, save_srt
from .utils import get_proxies
# Check if the current version of ge... | [
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'''
This is the worker module for the votes task handler.
'''
from google.appengine.ext import ndb
import json
import logging
import model.poll as Poll
import model.vote as Vote
import webapp2
USER_VOTES = {}
#Called when there is a new vote
#Add a New Vote
app = webapp2.WSGIApplication([
('/worker/process_vo... | [
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... | 3.025641 | 117 |
"""
A language to describe data, its interpretations and its transformations.
""" | [
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import pytest
from helpers.cluster import ClickHouseCluster
cluster = ClickHouseCluster(__file__)
instance = cluster.add_instance('instance', config_dir="configs")
@pytest.fixture(scope="module", autouse=True)
@pytest.fixture(autouse=True)
| [
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15... | 3.08642 | 81 |
from django.apps import AppConfig
| [
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# Copyright 2016 Intel Corporation
#
# 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 to in wri... | [
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from persistence.models.models_base import Base
from sqlalchemy.orm import relationship
from sqlalchemy import Column, Integer, String, Boolean, ForeignKey
| [
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# -*- coding: utf-8 -*-
################################################################################
## Form generated from reading UI file 'qr_to_text.ui'
##
## Created by: Qt User Interface Compiler version 5.15.0
##
## WARNING! All changes made in this file will be lost when recompiling UI file!
#######... | [
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""" test maf_transform """
import pytest
import transform.mc3.mc3_maf_transform as mc3_maf_transform
from bmeg.ioutils import reader
import os
import contextlib
import shutil
import json
@pytest.fixture
def maf_file(request):
""" get the full path of the test fixture """
return os.path.join(request.fspat... | [
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... | 2.664151 | 795 |
import os
import torch
from torchvision.utils import make_grid
from tensorboardX import SummaryWriter
from dataloaders.utils import decode_seg_map_sequence, decode_confidence_map_sequence
# def visualize_image(self, writer, dataset, image, target, output,
# global_step, flag='imviz'):
#... | [
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... | 2.215031 | 479 |
from pathlib import Path
KIDCONNECT_LOGIN="your_email@kidconnect.pl"
KIDCONNECT_PASSWORD="YourPassword12345"
IFTTT_KEY="Get it from https://ifttt.com/services/maker_webhooks/settings"
HISTORY_FILE=Path(__file__).parent.joinpath('history.json') # Where to store the news history (so you don't get double-notified)"
CONV... | [
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1,
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15... | 3.074074 | 135 |
from collections import OrderedDict
from datetime import date
from tempfile import NamedTemporaryFile
from django.conf import settings
from django.db.models import Q, Sum
from django.http import HttpResponse
from openpyxl import Workbook
from openpyxl.styles import Font
from openpyxl.utils import get_column_letter
f... | [
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... | 2.36413 | 3,312 |
import torch
import torch.nn as nn
from torch_scatter import scatter_add, scatter_max, scatter_mean, scatter_min, scatter_mul
from utils import decompose_graph
LATENT_SIZE = 32
class GlobalBlock(nn.Module):
"""Global block, f_g.
A block that updates the global features of each graph based on
the p... | [
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44... | 2.275168 | 1,937 |
#!/usr/bin/python
# coding: utf-8
import logging
import os
from cattledb.core.models import MetricDefinition, EventDefinition, MetricType, EventSeriesType
METRICS = [
MetricDefinition("test", "test", MetricType.FLOATSERIES, True),
# Raw Metrics
MetricDefinition("rawph", "rph", MetricType.FLOATSERIES, F... | [
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603... | 2.450593 | 759 |
from .package import run, start, check
| [
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] | 3.9 | 10 |
import csv
import logging
import os
from enum import Enum
from army_ant.util.text import textrank
from . import Index
logger = logging.getLogger(__name__)
| [
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... | 3.18 | 50 |
from typing import List
from webdnn.backend.code_generator.allocator import MemoryLayout
from webdnn.backend.code_generator.injectors.buffer_injector import BufferInjector
from webdnn.backend.code_generator.injectors.kernel_name_injector import KernelNameInjector
from webdnn.backend.webgpu.generator import WebGPUDescr... | [
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13,
2225... | 2.107807 | 1,076 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals, absolute_import
import datetime
from django.contrib.auth.models import AbstractUser
from django.urls import reverse
from django.db import models
from six import python_2_unicode_compatible
from django.utils.translation import ugettext_lazy as _
from djan... | [
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198,
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822,
13,
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13,
2753... | 3.298246 | 114 |
import nltk
import re
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
from sklearn import metrics
from sklearn.model_selection import cross_val_predict
#nltk.download('punkt')
from textblob import TextBlob
from DataLake import Mongo
obj... | [
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62,
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274,
1330,
7854,
259,... | 2.794521 | 146 |
from flask import Flask, render_template, request, Markup, jsonify
import json, time
app = Flask(__name__)
@app.route('/')
@app.route('/heatmap')
@app.route('/parallel-coordinates')
@app.route('/getArticlesByAuthor/<author_name>')
if __name__ == '__main__':
app.run(port = 5000)
| [
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... | 2.621622 | 111 |
import os
import json
import subprocess
import logging
from .ninja import NinjaBackend
class Meson:
"""
Base class that handles data fetching and setting options for Meson.
"""
| [
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198,
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7308,
1398,
326,
17105,... | 3.368421 | 57 |
score = None
count = 0
total = 0
average = 0
while score != 'done':
try:
number = input('Enter a number: ')
if number == 'done':
break
number = float(number)
total = total + number
count = count + 1
average = total/count
except:
... | [
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... | 2.154286 | 175 |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | [
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821,
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760... | 3.267857 | 168 |
import FWCore.ParameterSet.Config as cms
dtCalibValidation = cms.EDAnalyzer("DTCalibValidation",
# Write the histos on file
OutputMEsInRootFile = cms.bool(False),
# Lable to retrieve 2D segments from the event
segment2DLabel = cms.untracked.string('dt2DSegments'),
OutputFileName = cms.string('resid... | [
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41... | 2.669355 | 248 |
pets = {
'Felix': {
'kind': 'cat',
'owner': 'Milton',
},
'Nelly': {
'kind': 'dog',
'owner': 'Stilton',
},
'Maurice': {
'kind': 'parrot',
'owner': 'Tyra',
},
}
for pet, pet_details in pets.items():
print(f"\n {pet_details['owner']}'s {pet_details['kind']}'s name is {pet}!") | [
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6,
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6,... | 2.06993 | 143 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from pathlib import Path
from counting_sequences import SequenceCounter, CutadaptMatch
import pypipegraph as ppg
import pandas as pd
import pytest
import collections
__author__ = "MarcoMernberger"
__copyright__ = "MarcoMernberger"
__license__ = "mit"
@pytest.fixture
@... | [
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... | 2.450479 | 313 |
from datetime import date
from fbprophet import Prophet
from fbprophet.plot import plot_plotly
from plotly import graph_objs as go
import streamlit as st
import yfinance as yf
START = "2010-01-01"
TODAY = date.today().strftime("%Y-%m-%d")
st.title("Stock Prediction App")
st.header('Parameters')
stocks = ("AAPL", "GO... | [
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# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
from twisted.application.service import ServiceMaker
TwistedSOCKS = ServiceMaker(
"Twisted SOCKS", "twisted.tap.socks", "A SOCKSv4 proxy service.", "socks"
)
| [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Dec 23 17:32:31 2021
@author: ifti
"""
from ipapy import UNICODE_TO_IPA
from ipapy import is_valid_ipa
from ipapy.ipachar import IPAConsonant
from ipapy.ipachar import IPAVowel
from ipapy.ipastring import IPAString
from IPATranscription ... | [
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1... | 2.128755 | 1,398 |
#recursive approach
numTerms = int(input("How many terms of Fibonacci sequence to print? "))
# What are the first few terms of the fib seq?
# 0 1 1 2 3
# main method
# check if the number of terms is valid
if numTerms <= 0:
print("Please enter a positive integer")
else:
print("Fibonacci sequence:")
for... | [
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... | 2.832061 | 131 |
import unittest
import pdf2images
import os
THIS_DIR = os.path.dirname(os.path.realpath(__file__))
ASSETS_DIR = os.path.join(THIS_DIR, "assets")
| [
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... | 2.625 | 56 |
import os
| [
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] | 3.666667 | 3 |
VERSION = '8.0.0'
| [
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] | 1.8 | 10 |
import string
import random
from flask_bcrypt import Bcrypt
import names
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import func
from sqlalchemy.ext.hybrid import hybrid_property, Comparator
from sqlalchemy.schema import MetaData
from sqlalchemy.orm import backref
from itsdangerous import TimedJSONWebSignat... | [
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265... | 2.513222 | 1,021 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
from pyscaffold import templates
__author__ = "Florian Wilhelm"
__copyright__ = "Blue Yonder"
__license__ = "new BSD"
| [
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... | 2.608696 | 69 |
"""
VISIUALIZATION MODULE loading Parameter Matrices
CALL BY: <visiualize.py>
RETURN: Environment simulation (animated) & Plots
INFO: This Module can load a specific File Dump (cPickle) and visiualize the containig matrices onto a OpenAI Gym Environment
"""
# Some dependencies
import numpy as np
import... | [
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from django.db import transaction
from rest_framework.generics import get_object_or_404
from SocialNetwork_API.models import *
from SocialNetwork_API.services.base import BaseService
| [
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... | 3.76 | 50 |
# Purple Damage Skin
success = sm.addDamageSkin(2435432)
if success:
sm.chat("The Purple Damage Skin has been added to your account's damage skin collection.")
# sm.consumeItem(2435432)
| [
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49... | 3.233333 | 60 |
a, b = input().split()
a = int(a)
b = int(b)
print(a+b)
print(a-b)
print(a*b)
print(a//b)
print(a%b)
print(format(a/b, ".2f"))
| [
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6... | 1.777778 | 72 |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: percent
# format_version: '1.3'
# jupytext_version: 1.6.0
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# %%
# %matplotlib inline
# %%
# %run notebook_setup... | [
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... | 3.162085 | 1,746 |
# old code from iris example
# from sklearn.neighbors import KNeighborsClassifier
# from sklearn.datasets import load_iris
# from sklearn.externals import joblib
#import all the needed imports
import numpy as np
import pandas as pd
import os
from sklearn.cross_validation import train_test_split
from sklearn.metrics im... | [
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759,... | 2.747788 | 904 |
from PySide6.QtWidgets import QApplication, QMainWindow, QPushButton
from PySide6.QtGui import QScreen
from PySide6.QtCore import QSize
from config import t_max, t_min, t_norm, b_x, b_y
if __name__ == "__main__":
app = QApplication([])
mainWin = MainWindow()
mainWin.sho... | [
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14055... | 2.223684 | 152 |
import git
import git.exc
import os
from pathlib import Path
import subprocess
import sys
import collections
import enum
from typing import List, Dict, Set, Optional
from smartsquash.decorators import memorize_files_changed
from loguru import logger
def retrieve_commits(
repo: git.Repo, target_branch: str, rev... | [
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11,
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... | 2.825 | 400 |
import tensorflow as tf
from tensorflow.python.keras.layers import Input
# gpus = tf.config.list_physical_devices('GPU')
# for gpu in gpus:
# tf.config.experimental.set_memory_growth(gpu, True)
| [
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2,
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print( '<' + __name__ + ' name=\'' + __file__ + '\'>' )
import IceRayPy.core.material.instruction.label.coord3d.const
import IceRayPy.core.material.instruction.label.coord3d.dynamic
import IceRayPy.core.material.instruction.label.coord3d.temp
print( '</' + __name__ + ' name=\'' + __file__ + '\'>' )
| [
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1... | 2.460938 | 128 |
#equations for constraints
import numpy as np
from calcModuleTP import ATransformMatrixTHETA as A_Theta, link2index
from calcModuleTP import ATransformMatrix as A_i | [
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1... | 2.875 | 64 |
import tkinter as tk
import random
board_layout = []
utilities = {}
turn = 'X'
radio_button = '0'
winner = ''
count = 0
def minimax(board, min_max):
"""Computes all possible ways to proceed from the current state and selects the optimal way."""
result = win_draw(board)
if result != 2:
return re... | [
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6,
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... | 2.454657 | 816 |
from gym.envs.registration import register
register(
id='SimpleNavigation-v0',
entry_point='safe_il.envs:SimpleNavigation',
max_episode_steps=10000,
reward_threshold=200,
)
register(
id='BoneDrilling2D-v0',
entry_point='safe_il.envs:BoneDrilling2D',
max_episode_steps=10000,
reward_thre... | [
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62,
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13,
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25,
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from brownie import network, config, AuthenticatorProvider
from scripts.utils import get_account, is_network_local
from scripts.deploy import deploy
import pytest
| [
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1420,
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628
] | 4.125 | 40 |
'''
Q:You are given the following information, but you may prefer to do some research for yourself.
1 Jan 1900 was a Monday.
Thirty days has September,
April, June and November.
All the rest have thirty-one,
Saving February alone,
Which has twenty-eight, rain or shine.
And on leap years, twenty-nine.
A leap year occur... | [
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... | 2.916388 | 299 |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .models import Finding, Agency, Grant, Grantee, User, Comment
admin.site.register(User, UserAdmin)
admin.site.register(Agency)
admin.site.register(Finding)
admin.site.register(Grant)
admin.site.register(Grantee)
admin.site.register(C... | [
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... | 3.28 | 100 |
import unittest
import numpy as np
import nearest_correlation
from nearest_correlation import nearcorr
# References
# [1] 'Computing the nearest correlation matrix - a problem from finance': Higham, IMA Journal of Numerical Analysis (2002) 22, 329.343
# This test is taken from the example given in the
# NAG ... | [
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17... | 3.681818 | 330 |
from pathlib import Path
from plmbr.version import version
pys = list(Path('.').rglob('*.py'))
mds = list(Path('.').rglob('*.md'))
sdist = Path('dist') / f'plmbr-{version}.tar.gz'
| [
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73... | 2.434211 | 76 |
"""
Abstract base classes for construction asynchronous workers.
"""
from abc import ABCMeta, abstractmethod
from typing import Sequence, Tuple
from aiohttp.web import Application
class AbstractWorker(metaclass=ABCMeta):
"""
This base class provides most basic functionality for the worker.
"""
@pro... | [
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... | 3.066092 | 348 |
# -*- coding: utf-8 -*-
#
# ojar - [?] rune
# https://github.com/vesche/ojar
#
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import torch
import torch.nn as nn
from util.utils import positive_mask
import os
import math
import util.utils as utils
import torch.nn.functional as F
class NTXent(nn.Module):
"""
The Normalized Temperature-scaled Cross Entropy Loss
Source: https://github.com/Spijkervet/SimCLR
"""
def forward... | [
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import datetime
import os
import requests
import re
import pandas as pd
import numpy as np
from bs4 import BeautifulSoup
if __name__ == '__main__':
civil_names = CivilNames()
civil_names.write_civil_file(civil_names.get_civil_names())
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import gc
import prometheus_client
import sys
enabled = prometheus_client.Gauge(
'python_gc_enabled', 'Whether the garbage collector is enabled.')
enabled.set_function(gc.isenabled)
debug = prometheus_client.Gauge(
'python_gc_debug', 'The debug flags currently set on the Python GC.')
debug.set_function(gc.... | [
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... | 2.639175 | 679 |
import unittest
from ddt import ddt, data, unpack #installation of this library is required 'pip install ddt'
from pyunitreport import HTMLTestRunner
from selenium import webdriver
@ddt
if __name__ == "__main__":
unittest.main(verbosity = 2) | [
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import asyncio
import random
import typing
from aiozipkin.span import SpanAbc
from ....quru_logger import logger
from ....env import HEARTBEAT_INTERVAL
from ....words import RaftLog
from ..timer import Timer
from .base import BaseState, log_consistency_check, candidate_qualification
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... | 3.54321 | 81 |
import bpy; | [
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# Reference Codes
# https://github.com/kentaroy47/vision-transformers-cifar10
# https://github.com/FrancescoSaverioZuppichini/ViT
# https://github.com/lucidrains/vit-pytorch
#Lib import
from __future__ import print_function
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as ... | [
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"""
Goes over a directory, looks for all matching filenames (csv's), picks one row and writes them to another file.
"""
import re, sys, os
import polygon2cog as p2c
import validation as v
if __name__ == "__main__":
# line index we want to collect
TARGET_LINE = 0
# priority list of file keys, the first one ... | [
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from a_top_k import *
from b_top_k import *
import sys
import time
if __name__ == "__main__":
main()
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import fishtank
from machine import Pin, I2C
import machine
import time
import ssd1306
from adafruit_mqtt import AdafruitMQTTClient
import passwords
try:
i2c = I2C(-1, scl=Pin(22), sda=Pin(21))
oled_width = 128
oled_height = 64
oled = ssd1306.SSD1306_I2C(oled_width, oled_height, i2c)
sensor = ... | [
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# coding=utf-8
# Copyright 2018 The HuggingFace Inc. team and Jangwon Park
#
# 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 requir... | [
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