input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
from django.shortcuts import get_object_or_404, render
from django.template import Template, Context
from django.http import HttpResponse
from .forms import *
from datetime import datetime
from .models import Memory
from .models import UserProfile
from django.contrib.auth.models import User
from friendship.models impor... | |
so.num_words()
return (tot_num_adjs + tot_num_pron) / tot_num_words
class Noun_Verb_Ratio(object):
"""Class to calculate the ratio of the number of nouns to the number of verbs
Ref: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5337522/
"""
def __init__(self, sentence_objs):
"""The init method to initialize wit... | |
# Copyright Contributors to the OpenCue Project
#
# 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 ... | |
height of the video stream in pixels.
codedWidth (int): The coded width of the video stream in pixels.
colorPrimaries (str): The color primaries of the video stream.
colorRange (str): The color range of the video stream.
colorSpace (str): The color space of the video stream (ex: bt2020).
colorTrc (str): The color ... | |
"""
# set function name (cannot break function here)
_ = str(__NAME__) + '.Keyword.validate()'
# deal with no test value (use value set at module level)
if test_value is None:
value = self.value
else:
value = test_value
# deal with no source
if source is None:
source = self.source
# get true value (and test ... | |
<gh_stars>10-100
# avocado script augmenting spcc - requires spcc_sn_data.txt file
import numpy as np
import pandas as pd
import astronomical_object
import augment
from scipy.special import erf
import string
import math
from .instruments import band_central_wavelengths
from .utils import settings, logger
class SPCC_S... | |
schema="nistData/atomic/nonPositiveInteger/Schema+Instance/NISTSchema-SV-IV-atomic-nonPositiveInteger-maxExclusive-2.xsd",
instance="nistData/atomic/nonPositiveInteger/Schema+Instance/NISTXML-SV-IV-atomic-nonPositiveInteger-maxExclusive-2-5.xml",
class_name="NistschemaSvIvAtomicNonPositiveIntegerMaxExclusive2",
vers... | |
{
'resource_registry': stack_reg,
}
env = {
'resource_registry': env_reg,
'parameter_defaults': {'NetworkConfigWithAnsible': True}
}
utils.check_nic_config_with_ansible(mock_stack, env)
def test_check_heat_network_config_no_ansible(self):
stack_reg = {
'OS::TripleO::Controller::Net::SoftwareConfig': 'val',
... | |
# -*- coding: utf-8 -*-
# This file as well as the whole tsfresh package are licenced under the MIT licence (see the LICENCE.txt)
# <NAME> (<EMAIL>), Blue Yonder Gmbh, 2016
"""
Contains a feature selection method that evaluates the importance of the different extracted features. To do so,
for every feature the influenc... | |
raise ValueError('The default search space was not found!')
return search_space
def default_searcher(cls, search_space, options):
assert search_space is not None, '"search_space" should be specified when "searcher" is None or str.'
assert optimize_direction in {'max', 'min'}
if options is None:
options = {}
op... | |
<reponame>ShubhamThakre/datahub
from datetime import datetime
from functools import lru_cache
from typing import Dict, Iterable, Optional
import dateutil.parser as dp
import requests
from pydantic import validator
from pydantic.fields import Field
from requests.models import HTTPError
from sqllineage.runner import Lin... | |
<reponame>jaymegordo/SMSEventLog
import re
from collections import defaultdict as dd
from functools import partial
from typing import *
import pandas as pd
from PyQt6.QtCore import QAbstractTableModel, QModelIndex, Qt, pyqtSlot
from PyQt6.QtGui import QColor
from smseventlog import config as cf
from smseventlog impor... | |
# -*- coding: utf-8 -*-
"""
Profile: http://hl7.org/fhir/StructureDefinition/AdverseEvent
Release: R5
Version: 4.5.0
Build ID: 0d95498
Last updated: 2021-04-03T00:34:11.075+00:00
"""
import typing
from pydantic import Field
from pydantic import root_validator
from pydantic.error_wrappers import ErrorWrapper, Validatio... | |
<gh_stars>0
import hashlib
import json
import logging
import os
import time
import functools
from threading import RLock
from node import constants, datastore, routingtable
from node.protocol import proto_store
class DHT(object):
def __init__(self, transport, market_id, settings, db_connection):
self.log = logging... | |
return
drivers[0].set("io", "native")
def filebased_volume():
disk = etree.Element('disk', attrib={'type': 'file', 'device': 'disk'})
e(disk, 'driver', None, {'name': 'qemu', 'type': linux.get_img_fmt(volume.installPath), 'cache': volume.cacheMode})
e(disk, 'source', None, {'file': volume.installPath})
if volu... | |
#
# Copyright (C) 2014 Dell, 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 agreed to in writing,... | |
# %% [markdown]
# # Crowdsourcing Tutorial
# %% [markdown]
# In this tutorial, we'll provide a simple walkthrough of how to use Snorkel in conjunction with crowdsourcing to create a training set for a sentiment analysis task.
# We already have crowdsourced labels for about half of the training dataset.
# The crowdsour... | |
import math
import pytest
import numpy as np
from verifai.features import *
### Utilities
def checkFlattening(domain, point, expectedLength=None, coordsAreNumeric=None):
flat = domain.flatten(point)
assert type(flat) is tuple
assert len(flat) == domain.flattenedDimension
if expectedLength is not None:
assert l... | |
flow_id to be used across UL and DL.
# Since HSIA flow is the only symmetric flow currently, we need to
# re-use the flow_id across both direction. The 'flow_category'
# takes priority over flow_cookie to find any available HSIA_FLOW
# id for the ONU.
flow_category = HSIA_FLOW
if self.is_no_l2_modification_flow... | |
res[3] == {'number': 3, 'letter': 'c'}
assert res[4] == {'number': 3, 'letter': 'c'}
assert res[5] == {'number': 3, 'letter': 'c'}
def test_flat_map_identity(self):
t = XFrame({'id': [1, 2, 3], 'val': ['a', 'b', 'c']})
res = t.flat_map(['number', 'letter'],
lambda row: [[row['id'], row['val']]],
column_types=[i... | |
current implementation of this API uses Spark's Window without
specifying partition specification. This leads to move all data into
single partition in single machine and could cause serious
performance degradation. Avoid this method against very large dataset.
Returns
-------
Series or DataFrame
Returned objec... | |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 7 11:33:50 2019
@author: callie_macbookair
NOTE: You MUST have a sleep time in between starting the digitizer and starting fifo. The digitizer needs time start up and fifo will time out if you
do not wait. I suggest something like 5-7 se... | |
from cognite.client.data_classes._base import *
class TransformationDestination:
"""TransformationDestination has static methods to define the target resource type of a transformation
Args:
type (str): Used as data type identifier on transformation creation/retrieval.
"""
def __init__(self, type: str = None):
... | |
h2*k2
chiStemp,rhoftemp,grun,KS=getchiSgrun(ytemp[2],ytemp[0],chiSold,scale,param)
k3 = eval(diffeq + '(rold+h2,ytemp,ricb,rcmb,rhoftemp,grun,KS,scale)') # 2nd slope at midpoint
k3 = np.array(k3)
ytemp = yold + h*k3
chiStemp,rhoftemp,grun,KS=getchiSgrun(ytemp[2],ytemp[0],chiSold,scale,param)
k4 = eval(diffeq + ... | |
import json
import re
import time
import requests
from multiprocessing.dummy import Pool
import lxml.html
# # html = requests.get('https://www.baidu.com').content.decode()
# # print(html)
def query(url):
"""
获取网页源代码
:param url:
:return:
"""
requests.get(url)
def ca_time():
"""
计算获取100次网页代码多线程时间
:return:
... | |
Category
:type diagnostic_category: str
:param slot: Slot Name
:type slot: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsfor... | |
"""Create important distributions classes.
Especially provide the logic for a hypererlang distributions with data
fitting.
"""
import logging
import multiprocessing as mp
from itertools import combinations_with_replacement
from typing import Any, Dict, Generator, Iterable, List, Optional, Union
import matplotlib.pyp... | |
# Author: <NAME>
# VK: vk.com/maksim2009rus
# 1) Generating a Non-Deterministic Finite Automaton by a regular expression.
# 2) Translation of NDFA to DFA.
#
import graphviz as gv
# Standard character classes
D = frozenset("0123456789")
W = D | frozenset("_abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ")
S = fro... | |
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import datetime
import time
import json
try:
import arcpy
arcpyFound = True
except:
arcpyFound = False
from ..packages import six
import copy
import os
import tempfile
import uuid
from .spatial import json_to... | |
import numpy as np
import math
from .utils import (
MinCurve,
get_nev,
get_vec,
get_angles,
HLA_to_NEV,
NEV_to_HLA,
get_sigmas
)
from welleng.error import ErrorModel
from welleng.exchange.wbp import TurnPoint
class Survey:
def __init__(
self,
md,
inc,
azi,
n=None,
e=None,
tvd=None,
x=None,
y=None,
... | |
<filename>spectramanipulator/treewidget.py
from PyQt5.QtCore import Qt, QItemSelectionModel, QItemSelection, pyqtSignal, QModelIndex
from PyQt5.QtWidgets import QApplication, QMessageBox, QMenu, QAction
from PyQt5.QtGui import QCursor, QColor
import numpy as np
import os
from spectramanipulator.spectrum import Spectr... | |
self.title_email_5.setGeometry(QtCore.QRect(0, 90, 80, 30))
self.title_email_5.setMinimumSize(QtCore.QSize(0, 30))
self.title_email_5.setMaximumSize(QtCore.QSize(10000, 30))
font = QtGui.QFont()
font.setFamily("Segoe UI Black")
font.setPointSize(14)
font.setBold(False)
font.setItalic(False)
font.setWeight(10)
... | |
trp_player = 0
trp_multiplayer_profile_troop_male = 1
trp_multiplayer_profile_troop_female = 2
trp_temp_troop = 3
trp_find_item_cheat = 4
trp_random_town_sequence = 5
trp_tournament_participants = 6
trp_tutorial_maceman = 7
trp_tutorial_archer = 8
trp_tutorial_swordsman = 9
trp_novice_fighter = 10
trp_regular_fighter =... | |
in memory
nLC = len(self.loadCases)
self.PLN = [0] * nLC
self.PLFx = [0] * nLC
self.PLFy = [0] * nLC
self.PLFz = [0] * nLC
self.PLMx = [0] * nLC
self.PLMy = [0] * nLC
self.PLMz = [0] * nLC
for icase, lc in enumerate(self.loadCases):
gx = lc.gx
gy = lc.gy
gz = lc.gz
# copy data over for this case
self.P... | |
<gh_stars>0
#######################################################################
# Module: SQLiteDataAccessLayer
# Purpose: This class has all the data access code specific to SQLite
#######################################################################
from core.expense_category import ExpenseCategory
from core.s... | |
= Embed(
title="Akinator",
description="I think it is **{0.first_guess[name]} - {0.first_guess[description]}**\n\nWas I right?".format(aki)
)
e.set_footer(text=f"Thanks for playing, {ctx.author.name}!")
e.set_image(url=aki.first_guess["absolute_picture_path"])
e.set_thumbnail(url=akimage)
except Exception as ex:... | |
import numpy, logging
from sys import exit
from Classes.DotData import DotData
from Operations.Shari_Operations.localize.xpopMerge import xpopMerge
from Operations.Shari_Operations.localize.Scenario import GetSelectionScenarios, GetScenarios
from Operations.MiscUtil import MakeAlphaNum, Dict, Sfx, progress, AddFileSfx
... | |
<reponame>mathpluscode/DeepReg
import itertools
import numpy as np
import tensorflow as tf
import deepreg.model.layer_util as layer_util
class Activation(tf.keras.layers.Layer):
def __init__(self, identifier: str = "relu", **kwargs):
"""
Layer wraps tf.keras.activations.get().
:param identifier: e... | |
, logLevel.DEBUG , method , "----- %s == %s" % (resolvedTemplatePath, path)])
resolvedTemplatePath = path[1]
else:
#logQ.put( [logType , logLevel.DEBUG , method , "----- %s != %s" % (resolvedTemplatePath, path)])
pass
logQ.put( [logType , logLevel.WARNING , method , exception])
logQ.put( [logType , logLevel.DEB... | |
import face_recognition
from PIL import Image, ImageDraw
import numpy as np
from sklearn.svm import LinearSVC
import glob
import os
import matplotlib.pyplot as plt
'''
Draw box on all face_locations of an image
'''
def draw_face_box(image, face_locations):
# Convert the image to a PIL-format image
pil_image = Imag... | |
import theano
import theano.tensor as T
import lasagne as nn
from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams
_srng = RandomStreams()
class TiedDropoutLayer(nn.layers.Layer):
"""
Dropout layer that broadcasts the mask across all axes beyond the first two.
"""
def __init__(self, input_layer,... | |
<filename>src/huggingface_hub/repository.py
import logging
import os
import re
import subprocess
from contextlib import contextmanager
from pathlib import Path
from typing import List, Optional, Union
from huggingface_hub.constants import REPO_TYPES_URL_PREFIXES
from .hf_api import ENDPOINT, HfApi, HfFolder, repo_typ... | |
# file eulfedora/api.py
#
# Copyright 2010,2011 Emory University Libraries
#
# 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 b... | |
<gh_stars>10-100
##
# Copyright (c) 2013-2017 Apple 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 require... | |
or tuple
the width of the convolutional kernel. This can be either a two element tuple, giving
the kernel size along each dimension, or an integer to use the same size along both
dimensions.
stride: int or tuple
the stride between applications of the convolutional kernel. This can be either a two
element tuple, g... | |
dimension
if dim < 2 or dim > 3:
raise ValueError('Undefined transform for dimension: %d' % (dim,))
# Obtain grid-to-world transform for sampling grid
if sampling_grid2world is None:
if apply_inverse:
sampling_grid2world = self.codomain_grid2world
else:
sampling_grid2world = self.domain_grid2world
if sampling... | |
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.637134,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 6.00062,
'S... | |
params.add('detFrac', 0.65)
else:
params.add('detFrac', detFracInit)
if strutFracInit is None:
params.add('strutFrac', 0.07)
else:
params.add('strutFrac', strutFracInit)
if focalPlanePositionInit is None:
params.add('dxFocal', 0.0)
params.add('dyFocal', 0.0)
else:
params.add('dxFocal', focalPlanePositionIn... | |
<reponame>no7hings/Lynxi<filename>workspace/module/python-2.7/LxBasic/bscMtdCore.py
# coding:utf-8
from . import bscCfg
class Mtd_BscBasic(bscCfg.BscUtility):
pass
class Mtd_BscPython(Mtd_BscBasic):
@classmethod
def _bsc_mtd__set_python_module_load_(cls, moduleName):
loader = cls.MOD_pkgutil.find_loader(moduleN... | |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Generator to yield resampled volume data for training and validation
"""
# %%
from keras.models import load_model, Model
from matplotlib import pyplot as plt
import numpy as np
import os
from os import path
import random
import SimpleITK as sitk
from stl import mesh... | |
1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0],
[1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1],
[1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0... | |
so the first interesting line is called \"line 1\" then.
The optional argument `name` is a name identifying this
string, and is only used for error messages.
"""
return [x for x in self.parse(string, name)
if isinstance(x, Example)]
def _parse_example(self, m, name, lineno):
"""
Given a regular expression mat... | |
% macro
if not macro in self.sections:
message.warning('missing special word macro: [%s]' % macro)
# Check all text quotes have a corresponding tag.
for q in self.quotes.keys()[:]:
tag = self.quotes[q]
if not tag:
del self.quotes[q] # Undefine quote.
else:
if tag[0] == '#':
tag = tag[1:]
if not tag in self.t... | |
#!/usr/bin/python3
import os
import click
import sys
import csv
import time
import pandas as pd
import country_converter as coco
import hashlib
import phonenumbers
from tqdm import tqdm
from uszipcode import SearchEngine
HEADER_TRANSLATIONS = {
"email1": "Email",
"phone1": "Phone",
"person_country": "Country",
}
R... | |
position_ids, return_dict=False, init_cache=True
)
return unfreeze(init_variables["cache"])
@add_start_docstrings_to_model_forward(BERT_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
def __call__(
self,
input_ids,
attention_mask=None,
token_type_ids=None,
position_ids=None,
head_mask=None,
encoder_... | |
'''
New t0 algorithm is getting close, but not close enough.
1. Run previous analysis using only exponential signal. In general, this should predict a t0 that is slightly ahead of the actual t0.
2. Determine a baseline by looking inbetween the LED pulses and taking the average. (Integrate and divide by length?)
3. Fro... | |
# ******************************************************
## Revision "$LastChangedDate: 2018-06-01 15:05:44 +0200 (Fri, 01 Jun 2018) $"
## Date "$LastChangedRevision: 1 $"
## Author "$LastChangedBy: arthurbeusen $"
## URL "$HeadURL: https://pbl.sliksvn.com/generalcode/test_allocation.py $"
# ***************************... | |
<gh_stars>0
from functools import reduce
from operator import add
import concurrent.futures
import csv
import fire
import math
import numpy as np
import os
import pandas as pd
import pickle
import re
## Utilities ##
def map_dict(elem, dictionary):
if elem in dictionary:
return dictionary[elem]
else:
return np.n... | |
# Copyright 2020 AstroLab Software
# Author: <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 agr... | |
-t OBJECTS -i ' + file_name + ' > ' + ofile)
file = open(ofile,'r').readlines()
for line in file:
if string.find(line,"Key name") != -1 :
red = re.split('\.+',line)
key = red[1].replace(' ','').replace('\n','')
out_key = prefix + key
if reduce(lambda x,y: x+ y, [string.find(out_key,k)!=-1 for k in key_list]):
o... | |
<gh_stars>0
from . import TestConfig
from app.api_views.operation import *
from app.logic.operation import getCountry, getOperation
from app.logic.person import getPerson, getPohto, deletePerson
import json
import os
from io import BytesIO
class TestOperationApi(TestConfig):
def test_addcountry(self):
# first lo... | |
@param noCenter if True, do not remove the average before computing the covariance,
it means we assume variables are already centered
@return correlation factor or correlation, sigma1, sigma2 if deviations is True
"""
if len(values) <= 1:
raise ValueError( # pragma: no cover
"expecting more than one observation, ... | |
VMs
:param username: user id
:type username: string
:param cloudname: cloud name
:type cloudname: string
:param itemkeys: a list of lists, The first item in a sublist
is used as header name, the folling ones are
the path to the value that user wants in the
dict, for example:
itemkeys = [
['id', 'id'],
['n... | |
<gh_stars>0
#
# This file is part of the chi repository
# (https://github.com/DavAug/chi/) which is released under the
# BSD 3-clause license. See accompanying LICENSE.md for copyright notice and
# full license details.
#
import unittest
import numpy as np
from scipy.stats import norm, truncnorm
import chi
class T... | |
text="\nУстановить сертифиакт(ы) для локального пользователя\nили для всех сразу? (хранилище mRoot)")
dialogWindow.set_title("Вопрос")
dialogWindow.add_buttons("Локально", Gtk.ResponseType.CANCEL, "Для всех", Gtk.ResponseType.OK)
dialogWindow.show_all()
response = dialogWindow.run()
dialogWindow.destroy()
return ... | |
"ServerResMessage",
0x009F: "Reset",
0x0100: "KeepAliveAckMessage",
0x0101: "StartMulticastMediaReception",
0x0102: "StartMulticastMediaTransmission",
0x0103: "StopMulticastMediaReception",
0x0104: "StopMulticastMediaTransmission",
0x0105: "OpenReceiveChannel",
0x0106: "CloseReceiveChannel",
0x0107: "Connectio... | |
<filename>src/sol/parser.py
"""
Data parsing functions applicable to all transactions
"""
import logging
import re
from datetime import datetime, timezone
from sol import util_sol
from sol.api_rpc import RpcAPI
from sol.constants import BILLION, CURRENCY_SOL, INSTRUCTION_TYPE_DELEGATE, MINT_SOL, PROGRAM_STAKE
from s... | |
extend this class.
"""
def __init__(self, value: ATTRIBUTE_TYPES) -> None:
"""
Initialize a Relation object.
:param value: the right value of the relation.
"""
self.value = value
@property
@abstractmethod
def _operator(self) -> query_pb2.Query.Relation:
"""The operator of the relation."""
@classmethod
... | |
is the parent/ancestor of the relation
destuser = ndb.KeyProperty(kind=UserModel)
def set_dest(self, user_id):
""" Set a destination user key property """
k = None if user_id is None else ndb.Key(UserModel, user_id)
self.destuser = k
@classmethod
def list_favorites(cls, user_id, max_len=MAX_FAVORITES):
""" Qu... | |
"order": 11
},
"id": {
"type": "string",
"title": "ID",
"description": "ID",
"order": 12
},
"in_group": {
"type": "boolean",
"title": "In Group",
"description": "In group",
"order": 13
},
"indicator_count": {
"type": "integer",
"title": "Indicator Count",
"description": "Indicator count",
"order": 14
... | |
# Copyright <NAME> 2016
# Copyright <NAME> 2016
# Copyright <NAME> 2016
# Licenced under 3 clause BSD licence
#
#
# Solar Control System
#
# <NAME> --- 30th January 2016
#
#
# <eventInterface module='EventHandlers.SolarRun' name='SolarRun' >
# <check_time type='http://id.webbrick.co.uk/events/config/get' source='s... | |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | |
<reponame>pcie-bench/pcie-model
## Copyright (C) 2018 <NAME>. All rights reserved.
## Copyright (C) 2015 Netronome Systems, 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 ... | |
<reponame>mingwayzhang/tvm
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# ... | |
length is equal to the
number of frequency channels, it will be assumed
identical for all interferometers. If a 2D array
is provided, it should be of size
n_baselines x nchan. Tsys = Tnet
vis_freq [numpy array] The simulated complex visibility (in Jy or K)
observed by each of the interferometers along frequency ... | |
only the aspects affected by the change in the snapshot."""
return self._inner_dict.get('proposedSnapshot') # type: ignore
@proposedSnapshot.setter
def proposedSnapshot(self, value: Union["ChartSnapshotClass", "CorpGroupSnapshotClass", "CorpUserSnapshotClass", "DashboardSnapshotClass", "DataFlowSnapshotClass", "Da... | |
"s004" # 0x050C cia402sts[0-5]
S005 = "s005" # 0x050E sts[0-5]
S006 = "s006" # 0x0510 rtn[0-5]
S007 = "s007" # 0x0512 cia402err[0-5]
S008 = "s008" # 0x0514 alarm[0-5]
S009 = "s009" # 0x0518 targetplsfb[0-5]
S010 = "s010" # 0x051C cia402actualpls[0-5]
S011 = "s011" # 0x0520 cia402followingerr[0-5]
S012 = "s012" ... | |
<gh_stars>1-10
''' show_smnp.py
JUNOS parsers for the following commands:
* show snmp mib walk system
* show configuration snmp
'''
# Python
import re
# Metaparser
from genie.metaparser import MetaParser
from pyats.utils.exceptions import SchemaError
from genie.metaparser.util.schemaengine import (Any,
Optional, ... | |
0, -1, 0, 0, 0, -1),
(1, 1, 1, 0, 0, -1, -1, 0, 0)]
else:
# borders 8, 9
return [(1, 0, 0, 0, 1, 0, 0, 0, 1),
(-1, 0, 0, 0, 0, -1, 0, -1, 0),
(0, -1, 0, -1, 0, 0, 0, 0, -1),
(0, 0, -1, 0, -1, 0, -1, 0, 0),
(0, 0, 1, 1, 0, 0, 0, 1, 0),
(0, 1, 0, 0, 0, 1, 1, 0, 0)]
elif self._border(10):
if self._border(11) an... | |
that model.
See more here: http://stackoverflow.com/a/15745652"""
self.object = form.save(commit=False) # don't save M2M fields
self.object.username = create_username(
personal=form.cleaned_data["personal"], family=form.cleaned_data["family"]
)
# Need to save that object because of commit=False previously.
# ... | |
tth_eta, gvec_l = xfcapi.detectorXYToGvec(
dpts.T,
rmat_d, rmat_s,
tvec_d, tvec_s, tvec_c,
beamVec=beamVec)
tth_eta = np.vstack(tth_eta).T
# warp measured points
if distortion is not None:
dpts = distortion.apply_inverse(dpts)
# plane spacings and energies
dsp = 1. / mutil.columnNorm(np.dot(bMat, dhkl))
wl... | |
lb, size, value):
"""set_block(StringDataSet3D self, DataSetIndex3D lb, DataSetIndex3D size, Strings value)"""
return _RMF_HDF5.StringDataSet3D_set_block(self, lb, size, value)
def set_size(self, ijk):
"""set_size(StringDataSet3D self, DataSetIndex3D ijk)"""
return _RMF_HDF5.StringDataSet3D_set_size(self,... | |
<filename>peter_sslers/web/lib/form_utils.py
# pypi
import six
# local
from ...lib import db as lib_db
from ...lib import utils
from ...model import objects as model_objects
from ...model import utils as model_utils
from . import formhandling
# ========================================================================... | |
to
# verify the default
if logfile is not None:
# Logfile is not using Syslog, verify
with salt.utils.files.set_umask(0o027):
verify_log_files([logfile], self.config["user"])
if logfile is None:
# Use the default setting if the logfile wasn't explicity set
logfile = self._default_logging_logfile_
cli_log_fil... | |
############################################################################
# Copyright 2021 Plataux 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 #
# #
# https://www.apache.or... | |
<gh_stars>100-1000
"""
grdtrack - Sample grids at specified (x,y) locations.
"""
import pandas as pd
from pygmt.clib import Session
from pygmt.exceptions import GMTInvalidInput
from pygmt.helpers import (
GMTTempFile,
build_arg_string,
fmt_docstring,
kwargs_to_strings,
use_alias,
)
__doctest_skip__ = ["grdtrack"]... | |
<reponame>thomasbuttler/leo-editor
# -*- coding: utf-8 -*-
#@+leo-ver=5-thin
#@+node:ekr.20210902073413.1: * @file ../unittests/core/test_leoAst.py
#@@first
"""Tests of leoAst.py"""
#@+<< leoAst imports >>
#@+node:ekr.20210902074548.1: ** << leoAst imports >>
import ast
import os
import sys
import textwrap
import time
... | |
"""
Tools for creating and manipulating 1,2, and 3D meshes.
.. inheritance-diagram:: proteus.MeshTools
:parts: 1
"""
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
from builtins import input
from builtins import zip
from builtins import next
from builtins ... | |
<gh_stars>0
"""
Gradients for truncated and untruncated latent variable models.
"""
import torch as ch
from torch import Tensor
from torch import sigmoid as sig
from torch.distributions import Gumbel, MultivariateNormal, Bernoulli
import math
from .utils.helpers import logistic, censored_sample_nll
class CensoredM... | |
if module_name in v2_modules:
# already v2
return
v2_modules.add(module_name)
if module_name in set_up:
set_up.remove(module_name)
if module_name in done:
# some submodules already loaded as v1 => reload
imports.extend(done[module_name].values())
del done[module_name]
if module_name in ast_by_top_level_mod:
... | |
<reponame>stippingerm/mypylib<filename>multivariate_distns/copula.py
"""General copula."""
# Author: <NAME>
# Inspired by and based on sci-kit learn mixture models
# License: BSD 3 clause
# See: Berkes, Wood & Pillow (2009). Characterizing neural dependencies with copula models. NIPS 21, 129–136.
# Retrieved from htt... | |
size is a multiple of this value.
length_bucket_width: The width of the length buckets to select batch
candidates from. ``None`` to not constrain batch formation.
length_fn: A function or list of functions (in case of a parallel dataset)
that take features as argument and return the associated sequence length.
pad... | |
the node must have all of the
properties defined in the frame.
:param state: the current framing state.
:param subject: the subject to check.
:param frame: the frame to check.
:param flags: the frame flags.
:return: True if the subject matches, False if not.
"""
# check ducktype
wildcard = True
matches_some... | |
from cgitb import small
import pygame
import button
import random
import webbrowser
import display_functions # this will store dark/light mode, music manipulation, etc.
from pygame import mixer
from time import time
import math
from backend_functions import *
from checkDouble import *
# initialize pygame a... | |
"== 0 and input is sparse. Provide a dense "
"array instead."
)
else:
self.statistics_ = self._sparse_fit(
X, self.strategy, self.missing_values, fill_value
)
else:
self.statistics_ = self._dense_fit(
X, self.strategy, self.missing_values, fill_value
)
return self
def _sparse_fit(self, X, strategy, missi... | |
# python imports
import os
import os.path
import sys
import string
import re
from Tkinter import *
from tkFileDialog import *
# dependency imports
sys.path.append('./Dependencies')
import vtk
#import vtkTkImageViewerWidget
import Pmw
# internal imports
import MolecularSystem
import MolecularViewer
import GUICards
sys.p... | |
# Runge-Kutta Driver for quaternions-described object orientation
# Import other packages used
import numpy as np
# Import constants and parameters used
from Parameters_and_Constants import pi, moi
# Dual Matrix to a vector
# Inputs:
# - 3D array ( vec[ 3 ] )
# Outputs:
# - 3x3 matrix ( dvec ) which is its dual for ... | |
# -*- coding: utf-8 -*-
"""
@author: <NAME> <<EMAIL>>
Date: Aug 2017
"""
import numpy as np
import pandas as pd
from ..simenv import SimEnv
from .. import precomp_funs as _pf
class MixingValve(SimEnv):
"""
type: MixingValve class.
The MixingValve **mixes or separates** a flow. The flow on the 2-end-side
is mixe... | |
A boolean flag denoting whether the symbol is a
next proc function. The argument is mutually exclusive with arguments:
'parametric_values' and 'is_implicit_token'.
Returns:
The "mangled" symbol string.
"""
# Type validation for optional inputs.
if parametric_values and type(parametric_values) != "tuple":
fail... | |
"clusters": [
{
"id": "clqr4b0ox",
"name": "KPS Jobs",
"type": "Kubernetes Processing Site",
"region": "Private",
"cloud": "aws",
"teamId": "teo6raui0",
"isDefault": False,
"dtCreated": "2019-07-22T14:50:10.170Z",
"dtModified": "2020-02-28T20:58:26.134Z",
"clusterId": 92,
"isPrivate": True,
"modelName": "t... |
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