input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
**kwargs):
requires_backends(self, ["torch"])
CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
class CamembertForCausalLM(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
class CamembertForMaskedLM(metaclass=DummyObject):
_backends = ["torch... | |
#!/usr/bin/env python
'''
SPARTA - Network Infrastructure Penetration Testing Tool (http://sparta.secforce.com)
Copyright (c) 2015 SECFORCE (<NAME> and <NAME>)
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 the Free Software F... | |
<gh_stars>1-10
# 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 glob
import os
from argparse import Namespace
import pytest
from six import StringIO
import llnl.ut... | |
p4.p4_parse_state):
next_parse_state = ("parse_state", next_state.name)
elif isinstance(next_state, p4.p4_conditional_node):
next_parse_state = ("conditional_table",
get_conditional_node_name(next_state))
elif isinstance(next_state, p4.p4_table):
next_parse_state = ("table",
get_table_name(next_state))
else:
a... | |
class SkyUnits():
#{{{
'''
Transform units in the sky for a given cosmology
'''
from astropy.cosmology import Planck15 as cosmodel
from astropy import units as u
def __init__(self, theta=0, z=0., distance=0., glxsize=0.):
self.theta = theta
self.z = z
self.distance = distance
self.glxsize = glxsize
def a... | |
<reponame>cjsteel/python3-venv-ansible-2.10.5
#!/usr/bin/python
# (c) 2020, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = """
---
module: na_santricity_host... | |
<gh_stars>0
# -*- coding: utf-8 -*-
# @Time : 2021/5/30
# @Author : <NAME>
import numpy as np
from scipy.sparse import csc_matrix, dok_matrix
from scipy.sparse.linalg import splu, cg
from sksparse.cholmod import cholesky
# from scipy.sparse import save_npz, load_npz
# import line_profiler
class Edge(obje... | |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
# <NAME> (<EMAIL>)
import py_trees as pt
import py_trees_ros as ptr
import time
import numpy as np
import rospy
import tf
import actionlib
# from move_base_msgs.msg import MoveBaseAction, MoveBaseGoal
from smarc_msgs.msg import GotoWaypointAction, Goto... | |
'Parameter' , 'theta' , 'theta_boot' , 'bias/sigma [%]' , 'error [%]' )
table = []
n = 0
for name in sorted ( stats ) :
if name in fitresult :
p = fitresult [ name ]
theta = p * 1.0
if not isinstance ( theta , VE ) or theta.cov2() <= 0 :
logger.warning ('print_bootstrap: parameter "%s" is invalid in ``fitr... | |
<reponame>jrStaff/pixiedust
# -------------------------------------------------------------------------------
# Copyright IBM Corp. 2017
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ... | |
# -*- coding: utf-8 -*-
"""
Various dependencies that are required for file-metadata which need some
special handling.
"""
from __future__ import (division, absolute_import, unicode_literals,
print_function)
import ctypes.util
import hashlib
import os
import subprocess
import sys
from distutils import sysconfig
from... | |
<gh_stars>0
from keras import initializers, regularizers, activations
from keras.engine.topology import Layer
from keras import backend as K
import tensorflow as tf
class GraphEmbed(Layer):
def __init__(self, **kwargs):
super(GraphEmbed, self).__init__(**kwargs)
def build(self, input_shape):
super(GraphEmbed, se... | |
if(periodic):
frame = reflection_pad2D(frame, int(kernel_size / 2), device)
frame = F.conv2d(frame, gaussian_kernel, groups=frame.shape[1])
frame = F.interpolate(frame, size = list(s), mode='bilinear', align_corners=False)
del gaussian_kernel
return frame
def laplace_pyramid_downscale3D(frame, level, downscale_... | |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
This module implements functions used to produce evolution charts and other
plots based on the
output of estrangement confinement :mod:`estrangement.estrangement.ECA` ."""
__all__ = ['GetDeltas','plot_by_param','plot_function','ChoosingDelta','preprocess_temporal_communit... | |
already_processed):
value = find_attr_value_('LANG_REF', node)
if value is not None and 'LANG_REF' not in already_processed:
already_processed.add('LANG_REF')
self.LANG_REF = value
def buildChildren(self, child_, node, nodeName_, fromsubclass_=False):
pass
# end class descMultiLangType
class propType(Generateds... | |
"""This module contains wrappers around the ISIS campt and mappt that are
specific to understanding the relationship between pixels and projected
coordinates."""
# This is free and unencumbered software released into the public domain.
#
# The authors of autocnet do not claim copyright on the contents of this file.
# ... | |
#!/usr/bin/python
#
# Copyright (c) 2013 Juniper Networks, Inc. All rights reserved.
#
"""Base Contrail Provisioning module."""
import os
import re
import sys
import shutil
import socket
import argparse
import tempfile
import platform
import ConfigParser
from fabric.api import *
from contrail_provisioning.common.temp... | |
SET EntityBridgeId=0 WHERE (EntityBridgeId = '%s') " % tmp[
"tblEntities"])
if ent["entitytype"] == "acl_group":
pass
# remove all old entities
order = 0
if "entities" in ent:
if not isinstance(ent["entities"], list):
LOG.critical(_("update attached_entities entities item for dbid %s is not a list: %s" % (
db... | |
"""
Pod API
This document refers to Symphony API calls that do not need encryption or decryption of content. - sessionToken can be obtained by calling the authenticationAPI on the symphony back end and the key manager respectively. Refer to the methods described in authenticatorAPI.yaml. - Actions are defined to be ... | |
<reponame>jdnc/SimpleCV
'''
SimpleCV Detection Library
This library includes classes for finding things in images
FYI -
All angles shalt be described in degrees with zero pointing east in the
plane of the image with all positive rotations going counter-clockwise.
Therefore a rotation from the x-axis to to the y-axis ... | |
[
"thisisntaparam=somevalue",
"thisisntaparam",
]
@pytest.mark.parametrize("arg", SETTINGS_FAILURE)
def test_do_set_fail(arg):
itm = tm.InteractiveTomcatManager()
itm.do_set(arg)
assert itm.exit_code == itm.EXIT_ERROR
PREFIXES = [
("--", "--"),
("*", "*"),
(">>>", ">>>"),
# with no prefix, we should see th... | |
indices, shape, summed, linked_lengths):
assert isinstance(indices, str)
self.ast = tuple(ast)
self.indices = indices
self.shape = tuple(shape)
self.summed = frozenset(summed)
self.linked_lengths = frozenset(linked_lengths)
self.ndim = len(self.indices)
def _join_shapes(self, other):
'''Verify ``self + othe... | |
str):
func_name = utils.get_value_by_insensitive_key_or_value(
param,
self.components._namespace) or param
if hasattr(self.components, func_name):
func = getattr(self.components, func_name)
else:
NameError(
"\n'%s' is not recognized as a model component."
% param)
else:
func = param
if not self.get_args(f... | |
<gh_stars>10-100
import argparse
import os
import numpy as np
import scipy
import cv2
from functools import partial
from shapely.geometry import Polygon
import torch
import torch.optim as optim
import torch.utils.data as data
from torch import distributed
import grasp_det_seg.models as models
from grasp_det_seg.algos... | |
is_FreeModule(gens):
gens = gens.gens()
return FreeModule_submodule_field(self.ambient_vector_space(), gens, check=check)
def vector_space_span_of_basis(self, basis, check=True):
"""
Create the vector subspace of the ambient vector space with given
basis.
INPUT:
- ``basis`` - a list of linearly independent ... | |
0xA4A7A4,
"Stepping Stones": 0xB2A18C,
"Sterling": 0xD1D4D1,
"Sterling Blue": 0xA2B9C2,
"Sterling Shadow": 0xE9EBDE,
"Sterling Silver": 0x9EAFC2,
"Stetson": 0x9E7A58,
"Steveareno Beige": 0xC5B5A4,
"Sticks & Stones": 0xBAA482,
"Sticky Black Tarmac": 0x112111,
"Sticky Toffee": 0xCC8149,
"Stieglitz Silver": 0x8... | |
<gh_stars>0
import os
import sys
from configobj import ConfigObj, ConfigObjError
from logging import (getLevelName, getLogger,
FileHandler, StreamHandler, Formatter)
from optparse import OptionParser, SUPPRESS_HELP
from landscape import VERSION
from landscape.lib.persist import Persist
from landscape.upgraders im... | |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
OptExp (c) University of Manchester 2018
OptExp is licensed under the MIT License.
To view a copy of this license, visit <http://opensource.org/licenses/MIT/>
Created on Tue Nov 27 16:01:46 2018
@author: pablo
"""
import numpy as np
import pandas as pd
import itert... | |
external databases.
Notes
------
None
Returns
-------
flowdata : data-type
obtained streamflow observation dataframe between
Startyear and EndYear.
obtaindata : bool
True indicate successfully obtain data, False indicate no data are founded
for this gauge
obs_DA : float
The drainage area of this gauge re... | |
[100, 120], [180, 230], [255, 255]])
>>> lc = ColorCurve([[0,0], [90, 120], [180, 230], [255, 255]])
>>> sc = ColorCurve([[0,0], [70, 110], [180, 230], [240, 255]])
>>> img2 = img.applyHLSCurve(hc,lc,sc)
**SEE ALSO**
:py:class:`ColorCurve`
:py:meth:`applyRGBCurve`
"""
#TODO CHECK ROI
#TODO CHECK CURVE SI... | |
# script that controls the computation procedure
# first create the file params_gcc.txt and params.txt, which contain the preprocessor definitions and relevant parameters included in the Python script
# then create pre-processed interpretable source files in the given subdir
# then execute the Python program
import os... | |
= Upgrade(args.ip, args.port)
tarver = ugObj.get_target_version()
if (tarver and 'target_version' in tarver):
viprver = tarver['target_version']
viprver = viprver[viprver.find("vipr-")+5:]
cliver = common.get_viprcli_version()
cliver = cliver[cliver.find("storageos-cli-")+14:]
if ( viprver != cliver):
print "Vi... | |
<gh_stars>1-10
#!/usr/bin/env python3
#============================================================
# IMSNG Pipeline
# => Processing
# Data Monitoring => Processing => Transient Search
#============================================================
#%%
# Library
#----------------------------------------------------------... | |
<reponame>cvtower/Sparse-Winograd-CNN
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
# File: imagenet-resnet.py
import cv2
import sys
import argparse
import numpy as np
import os
import multiprocessing
import glob
import pickle
import tensorflow as tf
from tensorflow.contrib.layers import variance_scaling_initializer
... | |
from __future__ import absolute_import, print_function
from unittest import TestCase
import pytest
from conda import text_type
from conda.base.context import context
from conda.cli.common import arg2spec, spec_from_line
from conda.common.path import expand
from conda.common.url import path_to_url
from conda.exceptio... | |
running this a few times.
# In[17]:
numberOfKittens = numberOfKittens + 10
numberOfKittens
# #### Floating points or floats
# Floats are similar to integers, but with more precision.
# Float comes from a Floating point or a number with a decimal point.
#
# This example starts at 0, but note that this is .0
# A... | |
<reponame>admariner/centimani
"""Google Cloud function that uploads chunk of products to the Content API."""
# Copyright 2020 Google LLC
#
# 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
#
# h... | |
# ---------------------------*-python-*----------------------------------------#
# file interactive_utils.py
# author <NAME>
# date February 2019
# note Copyright (C) 2019, Los Alamos National Security, LLC.
# All rights reserved.
# -----------------------------------------------------------------------------#
'''
Inte... | |
<filename>src/aaindex_encoding_ResLikeCNN.py<gh_stars>10-100
import os
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers,regularizers
import pandas as pd
from sklearn.metrics import roc_curve, auc, precision_recall_curve, confusion_matrix, f1_score,accuracy_score
import matplotlib... | |
<reponame>broadinstitute/celligner2
import inspect
from lib2to3.pgen2.token import OP
import os
import anndata
from numpy.lib.function_base import _percentile_dispatcher
import torch
import pickle
import numpy as np
import pandas as pd
from anndata import AnnData
from typing import Optional, Union
from .celligner2 ... | |
import os
import unittest
import uuid
import ast
import time
import threading
from wsgiref import simple_server
import urllib
import json
import requests
from server.gateway import app
from server.verbs import Visit
from server.doctor import register_doctor, get_doctor, edit_doctor
from server.patient import registe... | |
import torch
import torch.nn as nn
import os
import torch.nn.functional as F
class LDS(nn.Module):
def __init__(self,):
super(LDS, self).__init__()
self.pool1 = nn.MaxPool2d(kernel_size=(2, 2), stride=2, padding=0)
self.pool2 = nn.MaxPool2d(kernel_size=(2, 2), stride=2, padding=0)
self.pool3 = nn.MaxPool2d(kerne... | |
"66e5a32f04cfcf9826296b3c053c22caa745fd890ccc6ea9199c34529507524a",
),
"rest-types":
struct(
version = "1.14.1.1",
sha256 =
"b7e08e65bbae20bd891f0905c9c785184182172094673ab13e66499e4fe3969a",
),
"rest-wai":
struct(
version = "0.2.0.1",
sha256 =
"38205eb7b85a4e052f11db099dd65e9d952b8533d1a35001f0b1958b443c0d... | |
request.get('episodes', [])
num_photos = 0
for ep_dict in ep_dicts:
yield Episode.VerifyEpisodeId(client, user_id, device_id, ep_dict['new_episode_id'])
num_photos += len(ep_dict['photo_ids'])
yield gen.Task(Operation.CreateAndExecute,
client,
user_id,
device_id,
'SavePhotosOperation.Execute',
request)
log... | |
[ 2.0, 0.0, 0.0, -2.0, 1.0, 0.0004, 0.0, -0.0002, 0.0 ],
[ 0.0, 1.0, 2.0, -2.0, 1.0, 0.0004, 0.0, -0.0002, 0.0 ],
[ 1.0, 1.0, 0.0, 0.0, 0.0, -0.0003, 0.0, 0.0, 0.0 ],
[ 1.0, -1.0, 0.0, -1.0, 0.0, -0.0003, 0.0, 0.0, 0.0 ],
[ -1.0, -1.0, 2.0, 2.0, 2.0, -0.0003, 0.0, 0.0001, 0.0 ],
[ 0.0, -1.0, 2.0, 2.0, 2.0, -0.0003... | |
= self
self.mpls_static_labels = L2Vpn.Database.XconnectGroups.XconnectGroup.P2PXconnects.P2PXconnect.Pseudowires.Pseudowire.PseudowireAddress.MplsStaticLabels()
self.mpls_static_labels.parent = self
self.source_address = None
self.tag_impose = None
class MplsStaticLabels(object):
"""
MPLS static labels
.. ... | |
22, 23,
24, 25, 27, 28, 31, 32, 33, 34, 35, 36,
37, 38, 39, 40, 41, 42, 43, 44, 46, 47,
48, 49, 50, 51, 52, 53, 54, 55, 56, 57,
58, 59, 60, 61, 62, 63, 64, 65, 67, 70,
72, 73, 74, 75, 76, 77, 78, 79, 80, 81,
82, 84, 85, 86, 87, 88, 89, 90
]
self._classes = {
ind + 1: cat_id for ind, cat_id in enumerate(self._c... | |
<gh_stars>100-1000
import emoji
import datetime
import itertools
from collections import Counter
from dateutil.relativedelta import relativedelta
MAX_MSG_LEN = 4096
def count_months(msgs):
"""Returns the number of months between first and last messages (calendar months)."""
r = relativedelta(msgs[-1].date, msgs[0]... | |
<gh_stars>0
"""Objects representing API interface to Wikibase site."""
#
# (C) Pywikibot team, 2012-2022
#
# Distributed under the terms of the MIT license.
#
import datetime
import json
import uuid
from contextlib import suppress
from typing import Optional
from warnings import warn
import pywikibot
from pywikibot.da... | |
from rpython.flowspace.model import FunctionGraph, Constant, Variable, c_last_exception
from rpython.rlib.rarithmetic import intmask, r_uint, ovfcheck, r_longlong, r_longlonglong
from rpython.rlib.rarithmetic import r_ulonglong, is_valid_int
from rpython.rtyper.lltypesystem import lltype, llmemory, lloperation, llheap
... | |
['Image'],
'ENCAPSULATED CDA IOD': ['Encapsulated Document'],
'ENHANCED SR IOD': ['Document'],
'VL PHOTOGRAPHIC IMAGE IOD': ['Image'],
'GENERAL AUDIO WAVEFORM IOD': ['Waveform'],
'MR IMAGE IOD': ['Image'],
'BASIC IMAGE BOX IOD': ['Basic Image Box'],
'VIDEO ENDOSCOPIC IMAGE IOD': ['Image'],
'ARTERIAL PULSE WAVEF... | |
= menu(header, options, INVENTORY_WIDTH)
#if an item was chosen, return it
if index is None or len(inventory) == 0: return None
return inventory[index].item
def msgbox(text, width=50):
menu(text, [], width) #use menu() as a sort of "message box"
def handle_keys():
global key
if key.vk == libtc... | |
<gh_stars>1-10
# Copyright 2015 <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 in wri... | |
<filename>source/MulensModel/magnificationcurve.py
import numpy as np
import math
import warnings
from MulensModel.trajectory import Trajectory
from MulensModel.pointlens import PointLens, get_pspl_magnification
from MulensModel.binarylens import BinaryLens
from MulensModel.modelparameters import ModelParameters
cla... | |
max(ret, cand)
print 'Case #%d: %.10lf' % (cc + 1, ret)
if lowest + can_replicate not in seen:
seen.add(lowest + can_replicate)
queue.append(lowest + can_replicate)
if lowest + can_replicate - 1 not in seen:
seen.add(lowest + can_replicate - 1)
queue.append(lowest + can_replicate - 1)
return p
def func_32f92d... | |
<filename>manabi/apps/flashcards/models/cardmanager.py
from datetime import datetime, timedelta
from itertools import chain
from django.db import models
from django.db.models.query import QuerySet
from django.db.models import Min, Count, Q
from manabi.apps.flashcards.models.constants import GRADE_NONE, MATURE_INTERVA... | |
import urllib,urllib2,re,xbmcplugin,xbmcgui,urlresolver,xbmc,xbmcaddon,os
from addon.common.addon import Addon
from addon.common.net import Net
import silent
#www.movie25.so - by The_Silencer 2013 v0.10
addon_id = 'plugin.video.moviestwentyfive'
local = xbmcaddon.Addon(id=addon_id)
movie25path = local.ge... | |
"""Generated message classes for datamigration version v1alpha2.
Manage Cloud Database Migration Service resources on Google Cloud Platform.
"""
# NOTE: This file is autogenerated and should not be edited by hand.
from __future__ import absolute_import
from apitools.base.protorpclite import messages as _messages
fro... | |
and `std()` work on entire columns. We can run our own functions across all values in a column (or row) using `apply()`.
#
# To give you an idea of how this works, let's consider the "date" column in our DataFrame (formally "EDT").
# In[29]:
data.date.head()
# We can use the `values` property of the column to get ... | |
which the item could not be unshared.
"""
path = 'content/items/' + item_id + '/unshare'
postdata = self._postdata()
postdata['groups'] = groups
resp = self.con.post(path, postdata)
if resp:
return resp
def share_item(self, item_id, owner, folder=None, everyone=False, org=False, groups="", allow_members_to_... | |
<reponame>jjon/rdflib
import collections
import datetime
import itertools
import typing as t
from typing import Any, Container, Dict, Iterable, List, Optional, Tuple, Union
import isodate
import rdflib.plugins.sparql
from rdflib.compat import Mapping, MutableMapping
from rdflib.graph import ConjunctiveGraph, Graph
fr... | |
"optional", "mandatory"))
obj.add_property(Property(0xB0, "Detection threshold level", "unsigned char", 1, "optional", "optional", "-"))
obj.add_property(Property(0xB1, "Gas detection status", "unsigned char", 1, "optional", "-", "mandatory"))
obj.add_property(Property(0xE0, "Measured value of gas concentration", "unsi... | |
<reponame>illicitonion/buck
from __future__ import with_statement
import __builtin__
import __future__
import contextlib
from collections import namedtuple
from pathlib import _Accessor, Path, PureWindowsPath, PurePath, PosixPath
from pywatchman import bser
from contextlib import contextmanager, nested
import copy
i... | |
-
"""
self.__merge__(source, True)
def empty_copy(self):
"""
Performs copy of instance of Yang
:param: -
:return: instance copy (of Yang)
"""
return self.__class__(self._tag)
def full_copy(self):
"""
Performs deepcopy of instance of Yang
:param: -
:return: instance copy (of Yang)
"""
return copy.deepc... | |
# 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 the Li... | |
"monistic",
"monition",
"monitive",
"monitory",
"monkeyed",
"monkhood",
"monoacid",
"monocarp",
"monocled",
"monocles",
"monocots",
"monocrat",
"monodies",
"monodist",
"monofils",
"monofuel",
"monogeny",
"monogerm",
"monoglot",
"monogyny",
"monohull",
"monokine",
"monologs",
"monology",
"monopod... | |
<filename>rsqueakvm/test/test_squeakimage.py
# -*- coding: utf-8 -*-
import pytest
import py
import StringIO
from struct import pack
from rsqueakvm import squeakimage, error
from rsqueakvm.model.character import W_Character
from rsqueakvm.model.compiled_methods import W_CompiledMethod
from rsqueakvm.model.numeric impo... | |
# -*- coding: utf-8 -*-
'''
Routines to set up a minion
'''
# Import python libs
from __future__ import absolute_import
from __future__ import print_function
import copy
import errno
import fnmatch
import hashlib
import logging
import multiprocessing
import os
import re
import salt
import signal
import sys
import threa... | |
# coding=utf-8
# Copyright 2021 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 applicable l... | |
Workplane object with the current point unchanged
"""
diff = stop - start
allPoints = self._toVectors(
(func(start + diff * t / N) for t in range(N + 1)), False
)
e = Edge.makeSplineApprox(
allPoints, tol=tol, smoothing=smoothing, minDeg=minDeg, maxDeg=maxDeg
)
if makeWire:
rv_w = Wire.assembleEdges([e])
... | |
= _libsumo.poi_getAllSubscriptionResults
def poi_getSubscriptionResults(objID):
return _libsumo.poi_getSubscriptionResults(objID)
poi_getSubscriptionResults = _libsumo.poi_getSubscriptionResults
def poi_getAllContextSubscriptionResults():
return _libsumo.poi_getAllContextSubscriptionResults()
poi_getAllContextSubsc... | |
# main.py COPYRIGHT Fujitsu Limited 2022
from argparse import ArgumentParser
from collections import OrderedDict
import copy
import os
import torch
from torchvision import transforms
import torchvision.datasets as datasets
from tqdm import tqdm
import sys
sys.path.append('../../')
from auto_prune_cifar10 import auto_... | |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""Commonly used utility functions."""
# mainly backports from future numpy here
from __future__ import absolute_import, division, print_function
from copy import deepcopy
import numpy as np
import networkx as nx
from scipy.stats import spearmanr
from .utilities import tril_... | |
import abc
from collections import OrderedDict
from functools import reduce
from operator import mul
from cached_property import cached_property
from sympy import Expr
from devito.ir.support.vector import Vector, vmin, vmax
from devito.tools import (PartialOrderTuple, as_list, as_tuple, filter_ordered,
frozendict, t... | |
)
runcmd("brew", "config")
runcmd("brew", "doctor")
raise
### TODO: Handle variations in this path (Is it "$(brew --prefix)/bin"?)
log.debug("Installed program directory: /usr/local/bin")
return Path("/usr/local/bin")
def assert_supported_system(self) -> None:
if shutil.which("brew") is None:
raise MethodNotS... | |
klustakwik) or as a result of manual sorting"),
"const": True}},
"times": {
"description": ("Times of clustered events, in seconds. This may be a link to "
"times field in associated FeatureExtraction module."),
"dimensions": ["num_events"],
"data_type": "float64!"},
"num": {
"description": "Cluster number of e... | |
+ CONSTANT_TYPE+ABSOLUTE_)
assert_equal(myDisasm.Argument3.ArgSize, 8)
assert_equal(myDisasm.Argument3.AccessMode, READ)
assert_equal(myDisasm.CompleteInstr, 'cmpnltsd xmm0, qword ptr [rax]')
Buffer = b'\xF2\x0F\xC2\x00\x06\x11\x11\x11\x11\x11\x11\x11\x11\x11\x11'
myDisasm = DISASM()
myDisasm.Archi = 64
Target ... | |
(required)
:return: SyncSyncJob
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
f... | |
return [self._space]
return [action._space for action in self._actions]
@property
def space(self):
"""
Get the corresponding space.
"""
if self.has_space():
# return gym.spaces.Tuple([self._space])
return self._space
# return [action._space for action in self._actions]
return gym.spaces.Tuple([action._space... | |
<filename>functions.py
"""
"""
import copy
import numpy as np
from joblib import Parallel, delayed
from tqdm import tqdm
import argparse
import random
import warnings
from ast import literal_eval
import tez
from tez import enums
from tez.callbacks import Callback
import torch
import torch.nn as nn
from sklearn impor... | |
#!/usr/bin/env python
import datetime
import glob
import gzip
import hashlib
import json
import os
import subprocess
import requests
from logzero import logger
#BASEURL = 'http://localhost:5000'
ERROR_TIMER = 0
TOKENS = {
'AAA': '<PASSWORD>'
}
ANSIBLE_PROJECT_ID = u'573f79d02a8192902e20e34b'
SHIPPABLE_URL = u'h... | |
### Team6 main.py ###
### author: tanahashi, kurita, ito ###
import os
import eel
import csv
import datetime
from datetime import datetime as dt
import numpy
import random
import matplotlib.pyplot as plt
import japanize_matplotlib # グラフの日本語表示に必要
from typing import Counter
# import importer
# import exporter
# P000の初... | |
last layer b_fc2 shape
_variables = tf.get_default_graph().get_collection_ref(tf.GraphKeys.VARIABLES)
print(_variables)
bias_before_output_layer_name = 'model/fc/b_fc2/b_fc2:0'
b_fc2 = tf.get_default_graph().get_tensor_by_name(bias_before_output_layer_name)
# Reset the graph to restore after model construction
t... | |
# -*- coding: utf-8 -*-
# Copyright 2017-2019 ControlScan, Inc.
#
# This file is part of Cyphon Engine.
#
# Cyphon Engine 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, version 3 of the License.
#
# Cyphon En... | |
import errno
import json
import logging
import os
import shutil
import uuid
import zipfile
import re
import subprocess
import pandas as pd
from kb_Amplicon.Utils.DataUtil import DataUtil
from installed_clients.DataFileUtilClient import DataFileUtil
from installed_clients.KBaseReportClient import KBaseReport
class ... | |
to do
if type(steps) == str:
steps = [steps]
do_merge = "merge" in steps
do_post_merge = "post" in steps
self.merge_stats = {}
self.stats = {}
self.mapping = {}
# try to identify root document sources amongst the list to first
# process them (if any)
defined_root_sources = self.get_root_document_sources()
ro... | |
for item in items] for items in
[self._lc_comb_created,self._comp_comb_created,self._manual_created, self._info_created]]
self._lc_comb_created, self._comp_comb_created, self._manual_created, self._info_created= [], [], [], []
if self._line_to_struc[self._active_line][0].get_structure_type() == '':
self._info_crea... | |
import numpy as np
from random import shuffle
import multiprocessing as mp
import itertools
from astrodash.helpers import temp_list, div0
from astrodash.sn_processing import PreProcessing
from astrodash.combine_sn_and_host import training_template_data
from astrodash.preprocessing import ProcessingTools
from astrodash... | |
'svn:needs-lock' set
## wc->wc copied file
svntest.main.run_svn(None, 'copy', mu_path, mu2_path)
is_writable(mu2_path)
sbox.simple_commit('A/mu2')
is_readonly(mu2_path)
## URL->wc copied file
svntest.main.run_svn(None, 'copy', mu_URL, mu3_path)
is_writable(mu3_path)
sbox.simple_commit('A/mu3')
is_readonly(m... | |
32, 3)
assert np.allclose(observed.arr_0to1, expected)
def test_segmaps__pad_mode_should_be_ignored(self):
# basic segmaps test
# pad_mode should be ignored for segmaps
aug = iaa.PadToFixedSize(
height=3, width=3, pad_mode="edge", position="center")
segmaps_arr = np.ones((1, 1, 1), dtype=np.int32)
segmaps = Se... | |
Optional[Dict[Text, Any]] = None,
ignore_action_unlikely_intent: bool = False,
) -> List[List[Dict[Text, List[Features]]]]:
"""Creates state features for prediction.
Args:
trackers: A list of state trackers
domain: The domain
precomputations: Contains precomputed features and attributes.
use_text_for_last_user... | |
. You can't create a new ``SettingId`` , but you can overwrite the default value if you have the ``ssm:UpdateServiceSetting`` permission for the setting. Use the UpdateServiceSetting API action to change the default setting. Or use the ResetServiceSetting to change the value back to the original value defined by the AW... | |
# Copyright 2022 The jax3d 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 writin... | |
4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
if NrScenario == "6400c":
if nrtimebucketstochastic == 3:
stochasticparttreestructure = [20, 20, 16]
if nrtimebucketstochastic == 4:
stochasticparttreestructure = [10, 10, 8, 8]
if nrtimebucketstochastic == 5:
stochasticparttreestructure = [10, 10, 8, 8, 1]
if nrtimebucke... | |
import torch
from torch import nn
from torch.nn import functional as F
from torch.nn import init as nninit
from torchvision.transforms import Resize, Grayscale
_ARCH_REGISTRY = {}
def architecture(name, sample_shape):
"""
Decorator to register an architecture;
Use like so:
>>> @architecture('my_architecture', ... | |
#!/usr/bin/env python
"""
Represent connectivity pattern using pandas DataFrame.
"""
from collections import OrderedDict
import itertools
import re
from future.utils import iteritems
from past.builtins import basestring
import networkx as nx
import numpy as np
import pandas as pd
from .plsel import Selector, Select... | |
1,
f"Pearson:{pearson:0.3f} r^2:{r2:0.3f} R^2:{big_r2:0.3f}",
verticalalignment="bottom",
transform=axes[row, col].transAxes,
)
row += 1
if row == rows:
row = 0
col += 1
if col >= cols:
break
figure_path = os.path.join(plot_path, f"scatters_together_{data_split}{image_ext}")
if not os.path.exists(os.path.... | |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import os
import shutil
import queue
import threading
import subprocess
import datetime
import time
import codecs
#print(os.path.dirname(__file__))
#print(os.path.basename(__file__))
#print(sys.version_info)
qApiCV = 'google'
qApiOCR = qApiCV
qApiTrn = qAp... | |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Implementation of elliptic curves, for cryptographic applications.
#
# This module doesn't provide any way to choose a random elliptic
# curve, nor to verify that an elliptic curve was chosen randomly,
# because one can simply use NIST's standard curves.
#
# Notes from... | |
be defined
"""
return pulumi.get(self, "optional")
def _translate_property(self, prop):
return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop
@pulumi.output_type
class SeldonDeploymentSpecPredictorsExplainerContainerSpecEnvFromSecretRef(dict):
"""
The Secret to select from
"""
def __init__(__self__, *,
... |
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