text stringlengths 6.04k 39.5k |
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"""
Get the all Xrefs on all disease items in Wikidata
Using an owl file (from DO), get all xrefs
Figure out what the differences are
Generate a ROBOT file to implement all changes
"""
import os
from collections import defaultdict, Counter
from functools import reduce
import requests
from itertools import chain
import... |
import os
import re
import nltk
import logging
import textstat
import argparse
import mongoengine
import numpy as np
import multiprocessing as mp
from typing import Union
from collections import Counter
from dateutil.parser import parse as parse_date
from gfibot import CONFIG
from gfibot.collections import *
from mong... |
import gc
import os
import sys
import utime
from uhttp_signature.authed_urequests import make_validated_request, RequestError, SignatureException
from pozetron_config import *
from credentials import KEY_ID, HMAC_SECRET
from logger import log, exc_logline
if isinstance(KEY_ID, bytes):
KEY_ID = KEY_ID.decode('utf... |
import logging
import os
import pickle
import uuid
from collections import namedtuple
from glob import glob
from typing import Tuple
import jsonpickle
import numpy as np
import python_on_whales
import requests
import time
from PIL import Image
from emissor.representation.annotation import AnnotationType
from emissor.r... |
import numpy as np
import pandas as pd
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import glob
from keras.callbacks import Callback
import cv2
import keras.backend as K
import tensorflow as tf
from spnet import models, diagnostics
from spnet.config import *
from spnet.utils import *
from spn... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import importlib
import json
import logging
import os
import subprocess # nosec B404
import sys
import types
from configparser import ConfigParser
from enum import Enum
from inspect import isclass, isfunction
from typing import TYPE_CHECKING
from celery.app import Celery
... |
#!/usr/bin/env python
# _*_coding:utf-8_*_
from sqlalchemy import *
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from handlers.base import engine
BaseModel = declarative_base()
# 新建表
def init_db():
BaseModel.metadata.create_all(engine)
# 删除表
def drop_db():
... |
# -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# 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 ... |
#!/usr/bin/env python3.6
# -*- coding: utf-8 -*-
from datetime import datetime
from collections.abc import Sequence
class PyUntisError(Exception):
WEBUNTIS_ERRORS = {
-7004: "Date out of bounds",
-8500: "Invalid school name",
-8509: "Access to substitutions denied",
-8998: "Worthless error message",
-32... |
import time
import os
from typing import Optional, Union, Tuple, List, Iterable, Any, Dict
from datetime import datetime, timedelta
from email.utils import parsedate_to_datetime
import structlog
from django.contrib.auth.models import AbstractUser
from django.contrib.postgres.indexes import BrinIndex
from django.db imp... |
import sys
from qt_widgets import QtWidgets, QtCore, QtGui
from qt_widgets import HorizontalEntryBox
from qt_widgets import VariableSlidersManager
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg
from complex_graph import ComplexAnimator
from typing import Union, Tuple, Any
class SetGridInputWidget(Qt... |
# Copyright (c) 2016, <NAME>
# All rights reserved.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the BSD license. See the accompanying LICENSE file
# or read the terms at https://opensource.org/licenses/BSD-3-Clause.
from __future__ import absolute_import, pri... |
import numpy as np
import gym
import copy
import matplotlib.pyplot as plt
from matplotlib import animation
from collections import defaultdict
from dps import cfg
from dps.env.basic import game
from dps.env.env import BatchGymEnv
from dps.utils import Param, square_subplots, create_maze
from dps.train import Hook
from... |
import getpass
import os
import platform
import subprocess
import sys
import argparse
import asyncio
import aiohttp
import pkg_resources
from redbot import MIN_PYTHON_VERSION
from redbot.setup import (
basic_setup,
load_existing_config,
remove_instance,
remove_instance_interaction,
create_backup,
)... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# imports.
from ssht00ls.classes.config import *
from ssht00ls.classes import utils
import os, sys, json, subprocess, pexpect
# check default errors..
def check_errors(output):
for i in [
"\nrsync: ",
"\nrsync error: ",
"\nssh: ",
"\nssh error: ",
"\nsshfs: "... |
"""This module defines E2e integration tests for the scheduling algorithm of Krake.
Module covers various test scenarios including constraints and metrics.
Test constraints, metrics and metrics providers are globally defined as follows:
Application cluster label constraints are tested with positive and negative
... |
##############################################################################
# NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size #
##############################################################################
# Copyright (c) <NAME> [GitHub D-X-Y], 2020.07 #
#########... |
import requests
from flask import request, flash
from flask import render_template
from flask import Flask, url_for, redirect
from models import Schema
from models import Dishes
from models import Day
from models import Days
from models import Ingredients
from models import Tags
from models import TaggedDishes
from ... |
import numpy as np
import xml.etree.ElementTree as ET
class WindTurbines():
"""Set of multiple type wind turbines"""
def __init__(self, names, diameters, hub_heights, ct_funcs, power_funcs, power_unit):
"""Initialize WindTurbines
Parameters
----------
names : array_like
... |
# Run train.py to train the model
import os
import time
import json
import numpy as np
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.utils.data import DataLoader
from torchvision.datasets import ImageFolder
from torchvision import transforms
from torchvision.models.resnet import *
... |
from scipy import signal
import pandas as pd
import numpy as np
import datetime
import re
import feather
import os, sys, argparse
import plotnine as p9
from matplotlib import gridspec
import matplotlib.pyplot as plt
# custom cwt function because signal.cwt doesn't work on morlets...
def cwt_time(data, frequencies, dt,... |
# ----------------------------------------------------------------------
# |
# | DockerBuildImpl.py
# |
# | <NAME> <<EMAIL>>
# | 2018-06-02 20:13:29
# |
# ----------------------------------------------------------------------
# |
# | Copyright <NAME> 2018.
# | Distributed under the Boost Soft... |
#
# Copyright 2021 Nebulon, Inc.
# All Rights Reserved.
#
# DISCLAIMER: THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO
# EVENT SHALL THE AUTHORS OR COPYRIG... |
# SIPEC
# MARKUS MARKS
# Behavioral Classification
from tqdm import tqdm
import pandas as pd
import random
from datetime import datetime
from argparse import ArgumentParser
import numpy as np
from sklearn import metrics
from scipy.stats import pearsonr
from sklearn.model_selection import StratifiedKFold
from sklearn.... |
"""JSON Keys core functions.
JSON Key definition:
An ordered sequence of one or more JSON pointer reference tokens
(Object member key or array index) starting with a root-level
key/index and ending with a reference to some value within the
document.
The last key can optionally be Python slice synt... |
import http
import ipaddress
import logging
import os
import platform
import re
import threading
import time
import warnings
from http.server import BaseHTTPRequestHandler
from typing import Any, Callable, Dict, List, Optional, Union
import requests
import torch
import pytorch_lightning as pl
from pytorch_lightning.s... |
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 11 18:07:06 2020
@author: Raj
"""
import pyUSID as usid
import ffta
from ffta.pixel import Pixel
from ffta.gkpfm.gkpixel import GKPixel
from ffta.pixel_utils import badpixels
import os
import numpy as np
from ffta.load import get_utils
from sidpy.proc.comp_utils import p... |
from __future__ import print_function
import numpy as np
from dataflow.lib import err1d
def extend(a, b):
"""
Extend *a* to match the number of dimensions of *b*.
This adds dimensions to the end of *a* rather than the beginning. It is
equivalent to *a[..., None, None]* with the right number of None ... |
import numpy as np
import logging
import time
import concurrent.futures
from hytra.core.probabilitygenerator import (
IlpProbabilityGenerator,
computeDivisionFeaturesOnCloud,
computeRegionFeaturesOnCloud,
DummyExecutor,
)
from hytra.util.progressbar import ProgressBar
logger = logging.getLogger(__nam... |
# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
# +
import seaborn as sns
import matplotlib.pyplot as plt
import statsmodels.api as sm
# -
from abc import ABC, abstractmethod
# +
## Declares entities
# -
class TimeSerie(ABC):
def __init__(self, history, freq):
assert isinstance(fr... |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import types
from ..core import Fittable1DModel
from ..parameters import Parameter
from .. import models
from .. import fitting
import numpy as ... |
# coding: utf-8
"""
Defines views for EDD's REST API.
Assuming Django REST Framework (DRF) will be adopted in EDD, new and existing views should be
ported to this class over time. Several potential REST resources are currently defined in
main/views.py, but are not accessible using the same URL scheme.
"""
import logg... |
import sys
from os.path import dirname
from OpenGL.GLUT import *
from OpenGL.GL import *
import math
from pyoptix.matrix4x4 import Matrix4x4
sys.path.append(dirname(dirname(dirname(__file__))))
import numpy as np
from pyoptix import Context, Compiler, Buffer, Program, Geometry, Material, GeometryInstance, EntryPoint... |
'''
Created on 2020-06-20
@author: wf
'''
import yaml
import io
import json
import jsons
import os
import re
from collections import OrderedDict
from pyparsing import Keyword,Group,Word,OneOrMore,Optional,ParseResults,Regex,ZeroOrMore,alphas, nums, oneOf
# wait for version 3
#from pyparsing.diagram import to_railroad,... |
# Copyright 2020 SURF.
# 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 writing, ... |
from __future__ import annotations
import atexit
import os
import re
import time
import weakref
from datetime import datetime
from pathlib import Path
from textwrap import dedent
from typing import (
TYPE_CHECKING,
Any,
Dict,
List,
Optional,
Pattern,
Tuple,
TypeVar,
... |
### =============================================================================
### NOTATIONAL CONVENTIONS:
### Comments starting with single hash - '#' - are "normal" comments
### Comments starting with double hash - '##' - represent name corresponding
### named component in hand-developed GroMEt represent... |
"""
Based on https://github.com/dsadigh/driving-preferences
and https://github.com/Stanford-ILIAD/easy-active-learning/
"""
import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import gym
import matplotlib.pyplot as plt
import numpy as np
import scipy.optimize as opt
from gym import spaces
fr... |
# Copyright 2014 Mirantis, Inc.
#
# 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 ... |
'''Choose GitHub or CILogon authentication with the OAUTH_PROVIDER environment
variable, which must be one of "github", "cilogon" or "jwt", and defaults to
"github".
'''
import asyncio
import json
import os
import oauthenticator
import random
from jupyterhub.handlers import LogoutHandler
from jupyterhub.utils import u... |
# -*- coding: utf-8 -*-
import argparse
import errno
import itertools
import math
import matplotlib.pyplot as plt
import mlflow
import mlflow.sklearn
import numpy as np
import os
import pydot
import random
import scipy.stats as stats
import shutil
import sklearn.metrics as metrics
import sys
from dask.diagnostics impo... |
'''Convenience functions for use in package hooks.'''
# Copyright (C) 2008 - 2011 Canonical Ltd.
# Authors:
# <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by th... |
"""
Tests the accuracy of the opt_einsum paths in addition to unit tests for
the various path helper functions.
"""
import itertools
import sys
import numpy as np
import pytest
import opt_einsum as oe
explicit_path_tests = {
'GEMM1': ([set('abd'), set('ac'), set('bdc')], set(''), {
'a': 1,
'b': ... |
# vim: ft=python fileencoding=utf-8 sts=4 sw=4 et:
# Copyright 2014-2021 <NAME> (The Compiler) <<EMAIL>>
#
# This file is part of qutebrowser.
#
# qutebrowser is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, e... |
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import os
import tempfile
import yaml
import sys
from django.core.management.utils import get_random_secret_key
from date... |
import csv
import datetime
import io
import json
import logging
import os
import sys
import time
from pathlib import Path
import pandas as pd
import requests
from zoltpy.cdc_io import json_io_dict_from_cdc_csv_file, YYYY_MM_DD_DATE_FORMAT
from zoltpy.connection import ZoltarConnection, Project
from zoltpy.csv_io impo... |
import numpy as np
import pandas as pd
import tensorflow as tf
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
# from tensorflow.keras.optimizers import Adam
from sklearn.preprocessing import MinMaxScaler
from tensorflow.keras import Sequential
from tensorflow.keras.layers import Dense, Dropo... |
## functions for manipulating empirical/simulated CMS output
## last updated 07.13.2017 <EMAIL>
import matplotlib as mp
mp.use('agg')
import matplotlib.pyplot as plt
import numpy as np
import subprocess
import os
###################
## COLLATE FILES ##
###################
def write_pair_sourcefile(writefilename, ih... |
# -*- coding: UTF-8 -*-
import gzip, shutil, os
import xml.etree.ElementTree as ET
class Sequence:
def __init__(self):
self.id = id
self.name = ''
self.height = ''
self.width = ''
self.vidframerate = 0
self.audframerate = 0
self.timelime = [] #TrackID, file path, clip name, tape, timeli... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import numpy as np
import cv2
import pyglet
from pyglet.gl import *
from ctypes import POINTER
from .graphics import MultiSampleFrameBuffer, FrameBuffer
from .objmesh import... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim: sw=4:ts=4:expandtab
""" A script to manage development tasks """
import json
import sys
from collections.abc import Iterator
from functools import partial
from glob import glob
from itertools import chain
from os import environ, path as p
from pathlib import Path
f... |
# -*- coding: utf-8 -*-
from operator import itemgetter
import os
import datetime
import xlwt
import copy
from dateutil.relativedelta import relativedelta
from collections import defaultdict
from functools import partial
from pyramid.view import view_config
from pyramid.response import Response
from pyramid.renderers ... |
# Reference: https://infocenter.nordicsemi.com/pdf/nRF24L01P_PS_v1.0.pdf
# Accession: G00044
import math
import asyncio
import logging
import argparse
from nmigen.compat import *
from ....support.logging import *
from ....arch.nrf24l.rf import *
from ...interface.spi_master import SPIMasterSubtarget, SPIMasterInterfa... |
# -*- coding: utf-8 -*-
#
# Test basic functionality of ComputationalRoutine class
#
# Builtin/3rd party package imports
import os
import tempfile
import time
import pytest
import numpy as np
from glob import glob
from scipy import signal
# Local imports
from syncopy import __acme__
if __acme__:
import dask.distr... |
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
from colle... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import itertools
import os, shutil
"""Used for process original data."""
class Seq:
def __init__(self, name, seq, no):
self.name = name
self.seq = seq.upper()
self.no = no
self.length = len(seq)
def __str__(self):
... |
# for running unit tests on 6.00/6.0001/6.0002 student code
import os
import string
import sys
import unittest
from contextlib import redirect_stdout
import ps4b as student
# A class that inherits from unittest.TestCase, where each function
# is a test you want to run on the student's code. For a full description
#... |
"""
Copyright (c) 2020, salesforce.com, inc.
All rights reserved.
SPDX-License-Identifier: BSD-3-Clause
For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/BSD-3-Clause
Collection of tokenizers (readable sequence to token list) and de_tokenizers (token list to readable ... |
# coding=utf-8
# Copyright 2022 The Google Research 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 applicab... |
#!/usr/bin/env python
import re
import numpy as np
import nltk
from nltk.corpus import wordnet as wn
from nltk.corpus.reader.wordnet import WordNetError
def download_nltk_packages():
"""Downloads the NLTK packages necessary for this project."""
nltk.download('wordnet', quiet=True)
def read_drs_data(file):... |
# coding: utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import tensorflow as tf
from utils import util
def linear(x, dim, bias=True, ln=False,
weight_initializer=None,
bias_initializer=tf.zeros_initializer(),
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""A bunch of tests for the functions defined in generaltools.py.
Note : they should be run from the root folder of the library with the command
python -m unittest discover
"""
import gzip
import os
import random
import shutil
import string
import sys
import tim... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
'''
wrappers to salt shell commands
=================================
This is not included in a salt module and isolated to be
picklable and used thorough python m... |
import numpy as np
import pandas as pd
import xarray as xr
import sys
try:
from metpy.units import units
from metpy.calc import potential_temperature, density
from metpy.calc import mixing_ratio_from_relative_humidity, specific_humidity_from_mixing_ratio
except ImportError:
print('ImportError: No modul... |
import numpy as np
import matplotlib.pyplot as plt; plt.ioff()
import copy
from .class_utils import *
from .utils import *
from astropy.cosmology import Planck15
import astropy.constants as co
c = co.c.value # speed of light, in m/s
G = co.G.value # gravitational constant in SI units
Msun = co.M_sun.value # solar mass... |
# 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 writing, software
# distributed under th... |
from rest_framework import viewsets, views
from rest_framework.response import Response
from .fields_serializers import BoxAbbreviationsSerializer
from .fields_serializers import (DocumentNameSerializer,
UnitySerializer, RackSerializer, PublicWorkerSerializer, LocationSerializer)
from .... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 29 19:48:05 2018
@author: andrew
"""
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
from scipy.ndimage.filters import gaussian_filter
from scipy.special import iv
from astropy.io import fits
import glob
impo... |
# ________
# /
# \ /
# \ /
# \/
# emd class to handle all Hilbert transform related methods
import numpy as np
import scipy as sp
import seaborn as sns
from scipy import signal as sig
import matplotlib.pyplot as plt
from scipy.ndimage import gaussian_filter
sns.set(style='darkgr... |
# Copyright 2017 University of Maryland.
#
# This file is part of Sesame. It is subject to the license terms in the file
# LICENSE.rst found in the top-level directory of this distribution.
from scipy.interpolate import InterpolatedUnivariateSpline as spline
import numpy as np
import scipy.constants as cts
from collec... |
# FIXME
fixme = '''
Remove all this.
If colors are important, use the xml output of --helpfull.
[2020-10-07 22:16] Done. Still due though:
This has a lot of legacy in trying to colorize functions and nested class trees help output
in sync wiht absl cli flags.
(do_action of old devapps)
Remove the bloat sooner or later... |
import torch.nn.functional as F
import numpy as np
import torch
import json
import os
import cv2
PIRAHA_WEIGHTS = {
3: torch.FloatTensor([.55, .45]),
4: torch.FloatTensor([.4, .6]),
5: torch.FloatTensor([.4, .6]),
6: torch.FloatTensor([.4, .6]),
7: torch.FloatTensor([.... |
# -*- coding: utf-8 -*-
# GUI Application automation and testing library
# Copyright (C) 2006-2018 <NAME> and Contributors
# https://github.com/pywinauto/pywinauto/graphs/contributors
# http://pywinauto.readthedocs.io/en/latest/credits.html
# All rights reserved.
#
# Redistribution and use in source and binary forms, w... |
import time
import copy
import json
import pickle
import logging
import collections
from typing import Any, Dict, NamedTuple
import numpy as np
import pandas as pd
from .estimator import Estimator, OPS
from .utils import run_test
from ..workload.workload import query_2_triple
from ..dataset.dataset import load_table
fr... |
from typing import Any, Dict, List, Tuple, Union
import networkx as nx
import pandas as pd
import partridge as ptg
from fiona import crs
from .settings import WGS84
from .summarizer import (generate_edge_and_wait_values,
generate_summary_edge_costs,
generate_summary_w... |
# The MIT License (MIT)
#
# Copyright (c) 2017-2018 <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, modif... |
import datetime
import os
import stat
import subprocess
from subprocess import check_output
import tarfile
import traceback
import shutil
from colorama import Fore, Style
from pathlib import Path
from utils import _print
import utils
class Container:
def __init__(self, name, password, app_container, db_container... |
import os
from abc import ABC, abstractmethod
import base64
import logging
from enum import auto
from enum import Enum as PythonNativeEnum
from io import BytesIO
import operator
from typing import List, Type, TypeVar, Union
from PIL import Image
from strictyaml import Map, Optional, Seq, Int, Enum, Str, YAML
import nu... |
#
# This file is part of Brazil Data Cube Collection Builder.
# Copyright (C) 2019-2020 INPE.
#
# Brazil Data Cube Collection Builder is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
#
"""Define Brazil Data Cube utils."""
# Python Nat... |
"""Helper class to implement include/exclude of entities and domains."""
import fnmatch
import re
from typing import Callable, Dict, List, Pattern
import voluptuous as vol
from homeassistant.const import CONF_DOMAINS, CONF_ENTITIES, CONF_EXCLUDE, CONF_INCLUDE
from homeassistant.core import split_entity_id
from homeas... |
# Copyright 2018 The TensorFlow 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 required by applicab... |
# The MIT License (MIT)
#
# Copyright (c) 2015 <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
# to use, copy, ... |
# modified by <NAME> on Jan 2020
import numpy as np
from numpy import linalg as la
import math
import logging
import json
import torch
from torch import nn
from torch.nn import init
import torch.nn.functional as F
from torch.autograd import Variable
import nn as mynn
from core.config import cfg
import utils.net as n... |
import math
import numpy as np
from cheshire.Grid import *
class InfiniteWell1DSampler(Grid1D):
"""
Class that generates parameters for the 1D infinite well.
"""
def sample_params(self, min_l=5, max_l=23, min_c=-8, max_c=8):
"""
Random parameter method that generates parameters for i... |
"""Query photon cross section data from NIST XCOM database.
Provides the fetch_xcom_data function to query the NIST XCOM database,
as well as a few mixtures for common materials.
References:
https://www.nist.gov/pml/xcom-photon-cross-sections-database
http://physics.nist.gov/PhysRefData/Xcom/html/xcom1.html
"""
... |
"""
This module contains miscellaneous helper functions and tools.
The functions you may want to be aware of:
Attributes:
endian_reverse : Reverses the endianness of the specified unitary. Necessary for working with unitaries from Qiskit.
matrix_distance_squared : The default error_func. Returns the Hilbert... |
from __future__ import print_function
"""
=============================
compare_boms.py
=============================
:Author: <NAME>
:Date: 2013
:Description:
Tool for checking comparing two BOMs and reporting differences...
:Example:
>>> import compare_boms.py
>>> fileA = open("bomA.csv", 'rb')
>>... |
# -*- coding: utf-8 -*-
'''
Optimize the distirbution of material under given displacement boundary
conditions so that the stored (hyper/linear) elastic energy is minimized.
This script is prepared in a way that enables many different cases to be run
one after another thanks to the parametrization of different problem... |
from django.db import models
from django.db.models.signals import pre_save
from django.shortcuts import reverse
from django.contrib.auth.models import User, Group
from django.contrib.postgres.fields import JSONField
from autoslug import AutoSlugField
import re
import os
from io import BytesIO
from django.db import mode... |
import os
import joblib
import logging
import numpy as np
import pandas as pd
import h5py
import click
from sklearn.base import is_classifier
import tables
from fact.io import read_h5py, write_data
from .feature_generation import feature_generation
from .preprocessing import convert_units
from . import __version__
_... |
"""
(C) Crown Copyright 2017, the Met Office.
Module to replicate data access API of the previous version of AutoAssess:
- from loaddata import load_run_ss
For information on the PP-Header attributes, see:
Unified Model Documentation Paper F03: "Input and Output File Formats"
available here: https://code.metoff... |
# Copyright 2017 Google Inc. 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 required by applicable ... |
# -*- coding: utf-8 -*-
import numpy as np
import os.path
import librosa
import librosa.feature
import matplotlib.pyplot as plt
from .classifiers_utils import rng
from sklearn.preprocessing import StandardScaler
from sklearn.svm import SVC
from scipy.fftpack.realtransforms import dct
from scipy.fftpack import fft
from... |
"""
arabic transliterate: Roman <-> Arabic unicode
To validate this implementation,I rely largely on these resources:
1. http://languagelog.ldc.upenn.edu/myl/ldc/morph/buckwalter.html.
2. https://github.com/Alfanous-team/alfanous/blob/master/src/alfanous/Romanization.py
3. http... |
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 5 23:56:16 2019
@author: kirichoi
"""
import os, sys
import tellurium as te
import roadrunner
import numpy as np
import antimony
import scipy.optimize
import networkGenerator as ng
import time
import copy
def f1(k_list, *args):
global counts
global countf
... |
import os
import logging
import numpy as np
import copy
import compas
import compas_slicer.utilities as utils
from compas_slicer.pre_processing.preprocessing_utils import restore_mesh_attributes, save_vertex_attributes
from compas.datastructures import Mesh
from compas_slicer.pre_processing.preprocessing_utils import a... |
from __future__ import print_function
import argparse
import torch
import torch.utils.data
from torch import nn, optim
from torch.autograd import Variable
from torch.nn import functional as F
from torchvision import datasets, transforms
from torchvision.utils import save_image
from torch.utils import model_zoo
from to... |
import torch
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import random
import copy
np.random.seed(1)
class DDPGActor(nn.Module):
def __init__(self, obs_size, act_size):
super(DDPGActor, self).__init__()
self.net = nn.Sequential(
n... |
from .os_functions import enter_exit
from sqlalchemy import create_engine
from sqlalchemy.pool import NullPool
from sqlalchemy.sql import text
from pathlib import Path
from configparser import ConfigParser
from shutil import copyfile
import pandas as pd
import traceback
import logging
import os
import cx... |
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from abc import *
import os
import sys
class Sample(ABC):
@abstractmethod
def sample(self, num):
raise NotImplementedError('define sample()')
class Gaussian1D(Sample):
def __init__(self, mu, sigma):
self... |
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