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import os
import sys
from flask import Flask, request, abort, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
# To be able to recognize relative imports
sys.path.append(os.path.dirname(os.path.realpath(__file__)))
from models import setup_db, create_all, Actor, Movie
from auth import AuthE... |
from PIL import Image
import numpy as np
import time
import pygame
import math
from stl import mesh
import stl
image = Image.open("frame.png")
pixelLocations = []
def drawRect():
pygame.init()
surface = pygame.display.set_mode((1200,1200))
surface.fill((255,255,255))
color = (0,0,0)
for rect in pixe... |
#!/usr/bin/env python3
# SPDX-FileCopyrightText: 2009 Fermi Research Alliance, LLC
# SPDX-License-Identifier: Apache-2.0
import os
import platform
import random
import string
import sys
import tempfile
import unittest
# We assume that this module is in the unittest directory
module_globals = globals()
unittest_dir =... |
import json
import logging
from collections import OrderedDict
from django.conf import settings
from django.utils.text import slugify
from django.views.generic import TemplateView
from django.templatetags.static import static
from django.contrib.auth import get_user_model
from django.core.exceptions import PermissionD... |
# Copyright 2020 The Magenta Authors.
# Modifications Copyright 2020 <NAME>.
#
# 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 requ... |
from settings import *
from methods import *
from fastapi import FastAPI, Response, status, Depends, Query, File, UploadFile
from typing import Optional, List
from starlette.responses import FileResponse
import db_models
from db_connect import engine, SessionLocal
from sqlalchemy.orm import Session
### DB
db_models... |
__source__ = 'https://leetcode.com/problems/rearrange-string-k-distance-apart/'
# https://github.com/kamyu104/LeetCode/blob/master/Python/rearrange-string-k-distance-apart.py
# Time: O(n)
# Space: O(n)
#
# Description: Leetcode # 358. Rearrange String k Distance Apart
#
# Given a non-empty string str and an integer k,... |
import numpy as np
import struct
from sklearn.metrics import classification_report
from sklearn.decomposition import PCA
from collections import Counter
from multiprocessing.shared_memory import SharedMemory
from multiprocessing import Process
# code for binary file IO is adapted from:
# https://blog.csdn.net/qq_350... |
#!/usr/bin/env python
'''
Author: <NAME> @ RIKEN
Copyright (c) 2020 RIKEN
All Rights Reserved
See file LICENSE for details.
'''
import os
import log,traceback
def parse(params, f_blast_res, outfpath):
log.logger.debug('started')
try:
evalue_threshold=params.overhang_evalue_threshold
def ... |
import pandas as pd
import numpy as np
from sklearn.preprocessing import MinMaxScaler
import matplotlib as mpl
from sklearn.model_selection import TimeSeriesSplit
import matplotlib.pyplot as plt
from numpy import nan
cv_splits = 3 # time series cross validator
'''
Load dataset
'''
def load_data(path):
raw_data =... |
from flask import Flask,render_template,abort,send_file,request
from flask_compress import Compress
from threading import Thread
import datetime
import os
import re
import twitter
app = Flask(__name__)
Compress(app)
# Parse the Log File to get Individual Tweet Sessions
def calculate_sessions(log_file_lines):
final_... |
#!/usr/bin/env python
"""
Converts 2011 Poker/Ester and 2013-2016 HiST raw data files to HDF5 for easy consumption
full command example with metadata:
python ConvertDMC2h5.py ~/U/irs_archive3/HSTdata/2013-04-14-HST0/2013-04-14T07-00-CamSer7196.DMCdata \
-s 2013-04-14T06:59:55Z -k 0.018867924528301886 -t 201... |
class Node:
def __init__(self, data):
self.data = data
self.height = 0
self.left = None
self.right = None
class AVLTree:
def __str__(self):
if self.root:
return self.print_avl(self.root)
return ""
def print_avl(self, node: Node) -> str:
... |
import torch
import torch.nn as nn
from torch.optim import Adam
import os
import argparse
import numpy as np
from tqdm import tqdm
from utils import init_dataset
from model import WorkStateClsModel as Model
def init_model(opt):
model = Model()
model = model.cuda() if opt.cuda else model
return model
def get_ac... |
"""Represent the most basic types of call number parts."""
from __future__ import unicode_literals
from builtins import str
import decimal
import math
from pycallnumber import settings
from pycallnumber.template import SimpleTemplate
from pycallnumber.unit import SimpleUnit
from pycallnumber.exceptions import Invalid... |
"""
Module that define classes to convert Crypto-currency to FIAT
e.g BTC to USD
"""
import logging
import time
from typing import Dict, List
from coinmarketcap import Market
from freqtrade.constants import SUPPORTED_FIAT
logger = logging.getLogger(__name__)
class CryptoFiat:
"""
Object to describe what ... |
import argparse
import logging
import sys, os
import requests
import pandas as pd
sys.path.append('..')
from utils.helpers import get_parsed_data, find_folder
from utils.misc import get_df_hash
import glob
from tqdm import tqdm
USAGE_DESC = """
python main.py <command> [<args>]
Available commands:
prepare ... |
# Licensed under the terms of the BSD-3-Clause license.
# Copyright (C) 2019 <NAME>
# <EMAIL>
"""apollon/fractal.py
Tools for estimating fractal dimensions.
Function:
corr_dim Estimate correlation dimension.
embdedding Pseudo-phase space embdedding.
lorenz_attractor Simulate Lorenz sy... |
from functools import wraps
from selenium import webdriver
from selenium.common.exceptions import WebDriverException
import time
import os
from django.db import transaction
from django.core.urlresolvers import reverse
from django.test import TransactionTestCase
from django.utils.html import strip_tags
from django_sel... |
""" there are multiple options to define layers:
- using an int
- using `pp.LAYER` object, with a layer per property
- using `pp.layer(name, layermap)` function
"""
from dataclasses import dataclass
from phidl.device_layout import Layer
from phidl.device_layout import LayerSet as LayerSetPhidl
class LayerSet(Laye... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""DigitalOcean Snapshooter.
Usage:
digitalocean_snapshooter.py droplet list
digitalocean_snapshooter.py droplet destroy <droplet_id>
digitalocean_snapshooter.py snapshot take <droplet_id>
digitalocean_snapshooter.py snapshot check <snapshot_id>
digitalocean_sn... |
# -*- coding: utf-8 -*-
"""
The Maze Challenge - Functions to display plot and stats
Author: prushh
"""
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from matplotlib.colors import ListedColormap
def _dark_subplots(nrows: int = 1, ncols: int = 1) -> tuple:
'''
Create subplots and set d... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# === This file is part of Calamares - <https://calamares.io> ===
#
# SPDX-FileCopyrightText: 2014 <NAME> <<EMAIL>>
# SPDX-FileCopyrightText: 2015 2019-2020, <NAME> <<EMAIL>>
# SPDX-FileCopyrightText: 2017 <NAME> <<EMAIL>>
# SPDX-FileCopyrightText: 2019 <NAME> <<... |
import os
import tensorflow as tf
from tensorflow.python.tools.inspect_checkpoint import print_tensors_in_checkpoint_file
def jaccard_distance(text1, text2):
""" Measure the jaccard distance of two different text.
ARGS:
text1,2: list of tokens
RETURN:
score(float): distance between two tex... |
# -*- coding: utf-8 -*-
import asyncio
import hashlib
import io
import struct
import threading
import traceback
from asyncio import StreamWriter, StreamReader
from typing import Generic, TypeVar, Optional
from Crypto import Random
from Crypto.Cipher import AES
from Crypto.PublicKey import RSA
from Crypto.PublicKey.RSA... |
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 19 15:53:45 2016
@author: sure
"""
'''
-This is a statistic test file using the framework of unittest
-This file includes the test cases for term statistics:
-term frequency in doc
-doc length
-term frequency in collection
-collection length
'''
import ... |
"""Test cases for functionality given by base parser."""
import unittest
import apel.parsers
class BaseParserTest(unittest.TestCase):
"""Test cases for the base APEL parser class."""
def setUp(self):
self.parser = apel.parsers.Parser('testSite', 'testHost')
def test_constants(self):
""... |
"""
Function: pre-processing of .xml file and creating pandas dataframe for each test cases' data
Author: <NAME>
Date: 08/11/2020
"""
from bs4 import BeautifulSoup as bs
import pandas as pd
import yaml
# xml file pre-processing
def open_xml(path):
"""
Open and pre-process the original .xml file... |
# Copyright (c) OpenMMLab. All rights reserved.
# Code for GBR competition metric is modified from Camaro's notebook
# https://www.kaggle.com/bamps53/competition-metric-implementation
import numpy as np
from mmcv.utils import print_log
from mmdet.core.evaluation.bbox_overlaps import bbox_overlaps
from .builder import ... |
# To avoid pulling in the entire Home Assistant library, this was ripped and adapted from
# https://github.com/home-assistant/core/blob/c07646db5dcfe290d8b1e11c696629cbd14c1f8c/homeassistant/helpers/entityfilter.py
"""Helper class to implement include/exclude of entities and domains."""
import fnmatch
import re
from ... |
from math import *
import numpy as np
import cv2 as cv
# This function draws a board. It is currently not used in main.py.
def drawBoard(img, board, width, height, border=32, gridSize=128, gridSpacing=8, showExit=True, colors=[(0, 95, 130), (0, 140, 191), (0, 187, 255)]):
drawRects(img, convertToRects(board, border,... |
from typing import final
from datasets import load_dataset
from sklearn.utils import shuffle
import nltk.data
import pandas as pd
from tqdm import tqdm
import os
import argparse
import torch
from torch.utils import data
from torch.utils.data import Dataset, DataLoader
from transformers import AutoTokenizer, BertForMa... |
import numpy as np
import pyqtgraph as pg
from matplotlib.colors import LinearSegmentedColormap
import sys
import os
from acconeer_utils.clients import SocketClient, SPIClient, UARTClient
from acconeer_utils.clients import configs
from acconeer_utils import example_utils
from acconeer_utils.pg_process import PGProcess... |
from django.db import models
from django.contrib.auth.models import AbstractUser
from django.urls import reverse
from django.conf import settings
from photo.forms import User
from django.contrib import admin
from django.forms import ModelForm
from PIL import Image
# from webcam.fields import CameraField
# from webcam.... |
from typing import *
from typing import _GenericAlias
import astroid
from python_ta.typecheck.base import _get_name, _gorg, TypeConstraints
###############################################################################
# Operator translations into dunder method name and English name.
################################... |
import os
import requests
import bz2
from time import sleep
import numpy as np
import pandas as pd
from astropy.io import fits
from astropy import wcs
def fits_file_name(rerun, run, camcol, field, band):
"""
SDSS FITS files are named, e.g., 'frame-g-001000-1-0027.fits.bz2'.
We will uncompress this and sav... |
# -*- Mode: Python2; coding: utf-8; indent-tabs-mpythoode: nil; tab-width: 4 -*-
'''
Colors experience
=========
View the pixel ordering experience.
New layer will be created with the image pixel by pixel.
Use Numpy.
'''
# Py 2.7
import os
import sys
import datetime
from array import array
# Co... |
# Copyright 2020 <NAME>
#
# 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... |
#!/usr/bin/env python
# import sys
# sys.path.insert(1, 'C:\Users\ai329e\AppData\Local\Google\Cloud SDK\google-cloud-sdk\platform\google_appengine')
# sys.path.insert(1, 'C:\Users\ai329e\AppData\Local\Google\Cloud SDK\google-cloud-sdk\platform\google_appengine\lib\yaml\lib')
#sys.path.insert(1, 'myapp/lib')
from googl... |
import re
from datetime import date as python_date
from datetime import datetime as python_datetime
import json as python_json
COLOR_RE = re.compile(r'^\s*#[0-9a-f]{3}([0-9a-f]{3})?\s*$', re.IGNORECASE)
DATE_RE = re.compile(r'^\s*(\d{4})-(\d\d)-(\d\d)\s*$')
DATETIME_RE = re.compile(r'^\s*(\d{4})(?:-(\d\d)(?:-(\d\d)(?:... |
from src.data import Data
import numpy as np
from scipy.optimize import minimize
import matplotlib.pyplot as plt
# area of ellipse
def f(x):
return 1 / (x[0] ** 4 * x[1] ** 4)
def gradf(x):
res = np.zeros(5)
res[0] = - 4 / (x[0]**5 * x[1]**4)
res[1] = - 4 / (x[0]**4 * x[1]**5)
return res
class... |
import gym
from gym import error, spaces, utils
from gym.utils import seeding
from gym.envs.registration import register
import json
from pprint import pprint
import math
import numpy as np
from typing import List, Iterator, Callable
import config as cfg
class Action:
def __init__(self,
name,... |
import datetime
import requests
import lxml.html as lh
import pandas as pd
import json
from tide import Tide
import constituent as cons
import numpy as np
def retrieve_constituents(stationID):
#Forms URL
url = 'https://tidesandcurrents.noaa.gov/harcon.html?unit=0&timezone=0&id={}'.format(stationID)
#Requ... |
import os
from datetime import datetime
import aiosqlite
import ujson
from sanic import json, HTTPResponse, Request
from sanic.log import logger
from bot.caching import CACHE
from bot.senders import send_msg, forward_msg
proxy_to = int(os.environ.get('PROXY_TO'))
async def health(request: Request) -> json:
ret... |
try:
import pygame, os, time
except:
print('cmd run: pip3 install pygame -i https://mirrors.aliyun.com/pypi/simple')
exit()
from pygame.locals import *
from game import Game
from ai import Ai
from config import *
config = Development()
FPS = config.FPS
SIZE = config.SIZE
DEBUG = config.DEBUG
colors = conf... |
from cybox.objects.domain_name_object import DomainName
from cybox.objects.address_object import Address
from cybox.objects.file_object import File
import logging
import string
import ipaddress
import uuid
logger = logging.getLogger(__name__)
#
# Used by validate_domain_name function
#
domain_allowed_chars = string.... |
# Copyright 2022 The EvoJAX Authors.
#
# 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 w... |
# prototyping custom build command.
import sublime, sublime_plugin, subprocess, os, re
import threading
class RunSasProgramCommand(sublime_plugin.WindowCommand):
def run(self):
self.window.active_view().run_command('save')
self.window.active_view().show_popup('Submitting to SAS.')
prg_filename = self.win... |
import copy
import os
import random
import tempfile
import zipfile
import CelledImage
from mutations import MUTATIONS
PATTERN_FILE = "pattern.txt"
IMAGE_NAME = "image"
class NotEnoughLettersError(Exception):
pass
class Rearranger:
"""Class for handling the automated rearranging of letters in an image."""
... |
#
# Copyright (c) 2018 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
import pecan
from pecan import rest
from inventory.api.controllers.v1 import base
from inventory.api.controllers.v1 import cpu
from inventory.api.controllers.v1 import ethernet_port
from inventory.api.controllers.v1 import host... |
import pytest
import platform
import numpy as np
import re
import ray
from ray._private.test_utils import wait_for_condition
from ray.cluster_utils import AutoscalingCluster
# Triggers the addition of a worker node.
@ray.remote(num_cpus=1)
class Actor:
def __init__(self):
self.data = []
def f(self):... |
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.utils.data
from torch.autograd import Variable
import numpy as np
import torch.nn.functional as F
import torch.autograd as grad
# removed the secound Linear layer and its batch_norm, and the remaning Linears are skinnier
class STN3d(n... |
from scipy.optimize import curve_fit
import numpy as np
import xarray as xr
import dask
import dask.array as darray
# define the model
last_trend_parm = 4
nparm = 8
def poly_harm(t, mu, b1, b2, b3, a1, phi1, a2, phi2):
"""Linear trend plus harmonics."""
return (mu + b1 * t + b2 * t**2 + b3 * t**3 +
... |
#!/usr/bin/env python
from automerge import getstatusoutput,AutoMerger,add_common_args,cd
import os,re
import config as c
import argparse
# scenarios, edge cases
# a. some parent modules do not have branch
# b. some child modules do not have branch
# c. source branch masks
def perform(args,am):
tocom... |
'''
-----------------------------------------------
File Name: predict-seg$
Description:
Author: Jing$
Date: 7/17/2021$
-----------------------------------------------
'''
import cv2 as cv
import numpy as np
import math
import os
from keras.models import load_model
#from tensorflow.keras.models import lo... |
"""
circa-survive-lyric-machine API.
"""
from __future__ import annotations
import uuid
import json
import logging
import os
import sys
from typing import Any, Dict
import numpy as np # type: ignore
import tensorflow as tf # type: ignore
from multiprocessing import Process
from flask import Flask, Response, jsonif... |
#!/usr/bin/python
# started from code from Ransom, and then changed it to not recursively query groups in groups
HELP = "Extracts the emails from every group list in a given domain.\n\
Usage: python groups.py DOMAIN [CSV] [TEXT] \n\
DOMAIN - the domain to use, e.g mydomain.com\n\
optional out... |
# -*- coding: utf-8 -*-
###########################################################################
## Python code generated with wxFormBuilder (version 3.10.1)
## http://www.wxformbuilder.org/
##
## PLEASE DO *NOT* EDIT THIS FILE!
###########################################################################
import wx
... |
# -*- cpy-indent-level: 4; indent-tabs-mode: nil -*-
# ex: set expandtab softtabstop=4 shiftwidth=4:
#
# Copyright (C) 2009,2010,2011,2012,2013,2014,2015,2016,2017 Contributor
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You ma... |
import os
import re
import subprocess
import sys
import fiona as fiona
import rasterio
from rasterio.windows import Window
import rasterio.features
import rasterio.warp
import rasterio.mask
from lxml import etree
import shutil
def create_roi(product_path, vector_file, window):
print('Crop window', window)
fil... |
##
# Copyright 2021 IBM Corp. All Rights Reserved.
#
# SPDX-License-Identifier: Apache-2.0
##
from typing import Set, Tuple, Dict, Union
import torch
import lnn
from .constants import Fact, World, Direction
class AssertWorld:
"""AssertWorld(world: World)
Raised when world not given as World object
"""... |
import asyncio
import collections
import logging
"""
The event class is a lightweight container which stores the event name, a timestamp that should indicate when the
event occured, and a payload. Events are produced by publishers and consumed by subscribers.
The payload can be any type that you wish, although a JSO... |
import argparse
import hashlib
import math
import os
import time
import numpy as np
import torch
import data
from utils import batchify, get_batch, repackage_hidden
parser = argparse.ArgumentParser(description='PyTorch PennTreeBank RNN/LSTM Language Model')
parser.add_argument('--data', type=str, default='data/penn/... |
import json
import sys
import os
import netlib.utils
from . import flow, filt, utils
from .protocol import http
class DumpError(Exception):
pass
class Options(object):
attributes = [
"app",
"app_host",
"app_port",
"anticache",
"anticomp",
"client_replay",
... |
# -*- coding: utf-8 -*-
"""
Created on Thu Dec 3 08:48:50 2020
@author: ebuit
Inspired in examples taken from:
https://dash.plotly.com/dash-core-components/input
https://stackoverflow.com/questions/51407191/python-dash-get-value-from-input-text
https://github.com/AdamSpannbauer/app_rasa_chat_bot/b... |
import numpy as np
import matplotlib.pyplot as plt
import xarray as xr
from scipy import stats
import cartopy.crs as ccrs
from cartopy.io.shapereader import Reader
from cartopy.feature import ShapelyFeature
import cartopy.feature as cfeature
# Preparation for the ideal C-C scaling background plots
# TODO - i... |
#!/usr/bin/env python
from __future__ import print_function
import csv
import sys
import os
from os import listdir
from os.path import isfile, join
from shutil import copyfile
class MyDialect(csv.Dialect):
strict = True
skipinitialspace = True
quoting = csv.QUOTE_ALL
delimiter = ';'
quotechar = '"... |
"""
utils.py
Contains helper functions.
"""
import math
import os
import numpy as np
import torch
import torch.nn.functional as F
EPSILON_DOUBLE = torch.tensor(2.220446049250313e-16, dtype=torch.float64)
EPSILON_SINGLE = torch.tensor(1.19209290E-07, dtype=torch.float32)
SQRT_TWO_DOUBLE = torch.tensor(math.sqrt(2),... |
#!/usr/bin/env python3
import json
import os
from loguru import logger
DEFAULT_CONF = {
"task_info": {
"label_type": "multi_label",
"hierarchical": True,
"hierar_taxonomy": "data/custom.taxonomy",
"hierar_penalty": 0.000001,
},
"device": "cuda",
"model_name": "Transfor... |
from __future__ import print_function
import numpy as np
import time
# Go to the next pick type (in alphabetical order)
def togglePickMode(*args,**kwargs):
curMode=args[0]
availPickModes=sorted([str(key) for key in args[1].keys()])
if curMode in availPickModes:
idx=availPickModes.index(cur... |
import os
import pickle
from pathlib import Path
import numpy as np
import open3d as o3d
import plac
from open3d.open3d_pybind.camera import PinholeCameraIntrinsic
from open3d.open3d_pybind.geometry import RGBDImage, PointCloud, TriangleMesh, Image
from open3d.open3d_pybind.io import write_point_cloud, write_triangle_... |
from django.db import models
from utils import db_utils
class GoodsCategory(db_utils.BaseModel):
"""商品类别"""
name = models.CharField(max_length=10, verbose_name='名称')
parent = db_utils.ForeignKey(
'self', related_name='subs', null=True, blank=True, on_delete=models.CASCADE, verbose_name='父类别')
... |
###########################################################################
############################# General Imports #############################
###########################################################################
from evaluation import wer_eval, preds_to_integer, show, my_collate, AverageMeter
import pdb... |
# Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch, math
from mmcv.cnn import constant_init, kaiming_init
from mmcv.utils.parrots_wrapper import _BatchNorm
def default_init_weights(module, scale=1):
"""Initialize network weights.
Args:
modules (nn.Module): Modules to b... |
#!/usr/bin/python2.5
#
# Copyright 2014 <NAME>.
#
# Author: <NAME> (<EMAIL>)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# t... |
#!/usr/bin/env python
# MIT License
#
# Copyright (c) 2017 <NAME> <<EMAIL>>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
#... |
# coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# 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 re... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from nose.tools import raises, eq_, ok_
from werkzeug.test import Client
from werkzeug.wrappers import BaseResponse
from clastic import Application, render_basic
from clastic.application import BaseApplication
from clastic.route import BaseRoute, Route... |
import datetime as dt
from sqlalchemy import UniqueConstraint
from run4it.app.database import Column, SurrogatePK, reference_col, relationship, db
class GoalCategory(SurrogatePK, db.Model):
__tablename__ = 'training_goal_categories'
id = Column(db.Integer, primary_key=True, index=True)
name = Column(db.String(32),... |
import os, subprocess, re
from tuner import FlagInfo, Evaluator, FLOAT_MAX
from tuner import RandomTuner, SRTuner
# Define GCC flags
class GCCFlagInfo(FlagInfo):
def __init__(self, name, configs, isParametric, stdOptLv):
super().__init__(name, configs)
self.isParametric = isParametric
self... |
# SPDX-License-Identifier: MIT
import os
import re
import hashlib
from waflib.TaskGen import feature
from waflib import Context, Errors, Logs, Task, Utils
from waflib.Tools import waf_unit_test
ERROR_WORDS = ["error:", "FAILED"]
def summary(bld):
lst = getattr(bld, "utest_results", [])
if not lst:
... |
#!/usr/bin/env python3
# Copyright 2017 <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, pu... |
# -*- coding: utf-8 -*-
"""
/***************************************************************************
qgridder_time_utils
Part of Qgridder - A QGIS plugin
Builds 2D grids for finite difference
-------------------
begin : 2013-04-08
... |
"""
区别于股票代码，指数代码请添加"I"，如000300(沪深300)，其符号I000300
"""
import pandas as pd
from cswd.utils import ensure_list, sanitize_dates
#from cswd.sqldata.stock_daily import StockDailyData
from cswd.sqldata.query import query_adjusted_pricing
from cswd.sqldata.stock_index_daily import StockIndexDailyData
from zipline.assets._ass... |
from collections import Iterable, MutableMapping
from types import MethodType
import functools
import inspect
from calculate.calculate import ManagedClass, ffi
import calculate.exception as exception
import calculate.calculate as calculate
__all__ = [
'Function',
'Operator',
'ConstantFactory',
'Func... |
import autofit as af
from autofit.mock.mock import MockSearch, MockSamples
from autoarray.mock.mock import MockMask, MockDataset, MockFit as AAMockFit
from autogalaxy.mock.mock import MockLightProfile, MockMassProfile
class MockResult(af.MockResult):
def __init__(
self,
samples=None,
... |
#Cek typo per kata - ED + Bayes
import re
import glob
import csv
import requests
import json
from urllib.request import urlopen
from collections import Counter
# path = 'C:/Users/USER/Desktop/Parallel Corpus/*.txt'
def words(text): return re.findall(r'\w+', text.lower())
import os
preproc_dir = os.path.dirname(os.p... |
from __future__ import annotations
import logging
import os
import re
from pathlib import Path
from typing import Dict
import anndata as ad
import pandas as pd
from sqlalchemy.orm import Session
from histocat.core.acquisition import service as acquisition_service
from histocat.core.dataset import service as dataset_... |
import copy
import os
# we already use worker threads, limit each process to 1 thread!
from functools import partial
from numbers import Number
from typing import Optional, Sequence
from trw.basic_typing import Stride, KernelSize
from trw.layers import LayerConfig, BlockConv, BlockConvNormActivation, default_layer_con... |
#!/usr/bin/python
from __future__ import division
from functools import lru_cache
from persistent_lru_cache import persistent_lru_cache
import timeit
@lru_cache(maxsize=None)
def fib(n):
if n < 2:
return n
return fib(n-1) + fib(n-2)
@persistent_lru_cache(filename='fib.db', maxsize=None)
def pfib(n):... |
from collections import OrderedDict
from rlkit.core.timer import timer
from rlkit.core import logger
from rlkit.data_management.replay_buffer import ReplayBuffer
from rlkit.misc import eval_util
from rlkit.samplers.data_collector.path_collector import PathCollector
from rlkit.core.rl_algorithm import BaseRLAlgorithm
... |
import torch
import numpy as np
import torch.nn.functional as F
from PIL import Image
import os
from scipy.io import loadmat
import matplotlib.pyplot as plt
from torch.autograd import Variable
import collections
import torchvision.transforms as transforms
def visualize_maps(maps, name):
x = maps.cpu()
dim = i... |
# -*- coding: utf-8 -*-
# Copyright 2020 The PsiZ Authors. All Rights Reserved.
#
# 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 r... |
import numpy as np
import pyautogui
import time
import cv2
from game_frame_detector import GameFrameDetector
from scrollbar_detector import ScrollbarDetector
from kai_recognizer import KaiRecognizer
from rarity_recognizer import RarityRecognizer
from common import Point, Size, Rect
def takeScreenshot():
raw_captur... |
# Write your code here :-)
import board
import alarm
import audiomixer
import time
import busio
import adafruit_aw9523
import digitalio
from digitalio import DigitalInOut
from audiocore import WaveFile
from digitalio import DigitalInOut, Direction, Pull
from random import randint
from audiomp3 import MP3Decoder
try:
... |
#!/usr/bin/env python
"""
test_facet.py
"""
# Copyright (c) 2011 <NAME>, Real Programmers. All rights reserved.
import json
import unittest
from OR_Client_Library.openrefine_client.google.refine.facet import *
class CamelTest(unittest.TestCase):
def test_to_camel(self):
pairs = (
('this', '... |
import unittest
import numpy as np
import torch
from kcd.kcd import KCD
from graphio.graphio import GraphIO
from graphutils.graphutils import GraphUtils
from glob import glob
import os.path
import re
class TestMutliArange(unittest.TestCase):
def test_numpy(self):
print("Testing Multi-arange Function in ... |
# Releasy Abstract data model
from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from .miner import AbstractReleaseMiner
from typing import List
import re
class Tag:
"""Tag
Attributes:
name: tag name
commit: tagged commit
time: tag time
... |
import re
from serilizer_lib.parsers.json.json_config import *
from serilizer_lib.parsers.json.exceptions import *
def dump(obj, fp):
s = dumps(obj)
fp.write(s)
def dumps(obj):
def dump_complex(complex_obj):
ans = ""
tp = type(complex_obj)
if tp == dict:
ans += OBJE... |
import json
import decimal
import datetime
from django.conf import settings
from django.http import HttpResponse
from django.utils import timezone
from django.shortcuts import get_object_or_404
from django.core.exceptions import PermissionDenied
from .models import Competitor, Setting, Task, TaskView
def _authenticat... |
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