xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

e7be1382a89587af29b3332d2ac194f029c49105

98

py

Python

src/Utils/__init__.py

LukasHaas/cs329s-covid-prediction

bd73935e1141e72f005389013ba2fa772657b53f

[ "MIT" ]

8

2021-06-09T04:56:53.000Z

2022-03-10T17:13:17.000Z

src/Utils/__init__.py

LukasHaas/cs329s-covid-prediction

bd73935e1141e72f005389013ba2fa772657b53f

[ "MIT" ]

null

src/Utils/__init__.py

LukasHaas/cs329s-covid-prediction

bd73935e1141e72f005389013ba2fa772657b53f

[ "MIT" ]

3

2021-05-28T01:10:07.000Z

2021-11-20T13:47:44.000Z

from .Utils import upload_blob from .Utils import segment_cough from .Utils import normalize_audio

32.666667

34

0.857143

15

98

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0.6

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0.555556

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e7c0680f5c4a0ad223ac2cd4e2b199792afda1d0

74

py

Python

project/__init__.py

dilettacal/nmt_seq2seq_evo

1de7647fb50445d17aa0eab8f300fdcbe6b8145e

[ "MIT" ]

null

project/__init__.py

dilettacal/nmt_seq2seq_evo

1de7647fb50445d17aa0eab8f300fdcbe6b8145e

[ "MIT" ]

null

project/__init__.py

dilettacal/nmt_seq2seq_evo

1de7647fb50445d17aa0eab8f300fdcbe6b8145e

[ "MIT" ]

null

from .model import * from .utils import * from .utils.external import *

12.333333

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7

99db6c98b1d15c074ce87f2324f7a378f226fa11

3,498

py

Python

download_model.py

WiNE-iNEFF/ruGPT-TEST

68bb22cb3415035a133f9162f766eb7cb4122f40

[ "MIT" ]

null

download_model.py

WiNE-iNEFF/ruGPT-TEST

68bb22cb3415035a133f9162f766eb7cb4122f40

[ "MIT" ]

null

download_model.py

WiNE-iNEFF/ruGPT-TEST

68bb22cb3415035a133f9162f766eb7cb4122f40

[ "MIT" ]

null

import os import sys import requests import wget from tqdm import tqdm if len(sys.argv) != 2: print('You must enter the model name as a parameter, e.g.: download_model.py 117M') sys.exit(1) if sys.argv[1] == '117M': model = sys.argv[1] subdir = os.path.join('models', model) if not os.path.exists(subdir): os.makedirs(subdir) os.chdir(subdir) # wget.download('https://docs.google.com/uc?export=download&id=16xNiQZenM-rhVVPox9oepthwreIEW2Lm') #hparams.json # wget.download('https://docs.google.com/uc?export=download&id=12zx_JHlY6UeBOQahOxwBnLVXcmZWOXFZ') #model-62000.index # wget.download('https://docs.google.com/uc?export=download&id=1VvXSt77MWV-BikB59BvcRHynNNCsHeRj') #model-62000.meta # wget.download('https://docs.google.com/uc?export=download&id=1Lj5gAxD2HHf0VxlHY9Q0q532VNFpQ6XK') #sp.vocap # wget.download('https://docs.google.com/uc?export=download&id=1bOtPl_GqX4Es9jBZYTPS9ytxq2KGJQE-') #sp.model elif sys.argv[1] == '1250M': model = sys.argv[1] subdir = os.path.join('models', model) if not os.path.exists(subdir): os.makedirs(subdir) os.chdir(subdir) wget.download('https://docs.google.com/uc?export=download&id=16xNiQZenM-rhVVPox9oepthwreIEW2Lm') #hparams.json wget.download('https://docs.google.com/uc?export=download&id=12zx_JHlY6UeBOQahOxwBnLVXcmZWOXFZ') #model-62000.index wget.download('https://docs.google.com/uc?export=download&id=1VvXSt77MWV-BikB59BvcRHynNNCsHeRj') #model-62000.meta wget.download('https://docs.google.com/uc?export=download&id=1Lj5gAxD2HHf0VxlHY9Q0q532VNFpQ6XK') #sp.vocap wget.download('https://docs.google.com/uc?export=download&id=1bOtPl_GqX4Es9jBZYTPS9ytxq2KGJQE-') #sp.model elif sys.argv[1] == '1250M-143': model = '1250M' subdir = os.path.join('models', model) if not os.path.exists(subdir): os.makedirs(subdir) os.chdir(subdir) # wget.download('https://docs.google.com/uc?export=download&id=16xNiQZenM-rhVVPox9oepthwreIEW2Lm') #hparams.json # wget.download('https://docs.google.com/uc?export=download&id=12zx_JHlY6UeBOQahOxwBnLVXcmZWOXFZ') #model-62000.index # wget.download('https://docs.google.com/uc?export=download&id=1VvXSt77MWV-BikB59BvcRHynNNCsHeRj') #model-62000.meta # wget.download('https://docs.google.com/uc?export=download&id=1Lj5gAxD2HHf0VxlHY9Q0q532VNFpQ6XK') #sp.vocap # wget.download('https://docs.google.com/uc?export=download&id=1bOtPl_GqX4Es9jBZYTPS9ytxq2KGJQE-') #sp.model elif sys.argv[1] == '1250M-282': model = '1250M' subdir = os.path.join('models', model) if not os.path.exists(subdir): os.makedirs(subdir) os.chdir(subdir) # wget.download('https://docs.google.com/uc?export=download&id=16xNiQZenM-rhVVPox9oepthwreIEW2Lm') #hparams.json # wget.download('https://docs.google.com/uc?export=download&id=12zx_JHlY6UeBOQahOxwBnLVXcmZWOXFZ') #model-62000.index # wget.download('https://docs.google.com/uc?export=download&id=1VvXSt77MWV-BikB59BvcRHynNNCsHeRj') #model-62000.meta # wget.download('https://docs.google.com/uc?export=download&id=1Lj5gAxD2HHf0VxlHY9Q0q532VNFpQ6XK') #sp.vocap # wget.download('https://docs.google.com/uc?export=download&id=1bOtPl_GqX4Es9jBZYTPS9ytxq2KGJQE-') #sp.model else: print('такой модели нет') #subdir = subdir.replace('\\','/') # needed for Windows print(subdir)

58.3

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0.138211

0.170732

0.906098

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0.140366

3,498

59

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0.75557

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0

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false

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null

0

1

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null

0

7

822b23d57478e89b93013cf580678fc91f5d233e

111

py

Python

utils/loss/__init__.py

bhklab/ptl-oar-segmentation

354c3ee7f042a025f74e210a7b8462beac9b727d

[ "Apache-2.0" ]

3

2022-01-18T19:25:46.000Z

2022-02-05T18:53:24.000Z

utils/loss/__init__.py

bhklab/ptl-oar-segmentation

354c3ee7f042a025f74e210a7b8462beac9b727d

[ "Apache-2.0" ]

null

utils/loss/__init__.py

bhklab/ptl-oar-segmentation

354c3ee7f042a025f74e210a7b8462beac9b727d

[ "Apache-2.0" ]

null

from .boundary_loss import * from .focal_loss import * from .dice_loss import * from .ND_Crossentropy import *

22.2

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16

111

5.1875

0.5

0.361446

0.506024

0

0.144144

111

4

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null

0

1

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1

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1

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7

41a60cbee12aae20357361ac482db38ddf2ec9d6

25,560

py

Python

router/day_visit_cost_calculator_test.py

awesome-archive/city_visit_planner

20befca3d70db61bc83356eedd490a298b27f96f

[ "MIT" ]

1

2019-11-14T22:08:59.000Z

router/day_visit_cost_calculator_test.py

sandoche/city_visit_planner

20befca3d70db61bc83356eedd490a298b27f96f

[ "MIT" ]

null

router/day_visit_cost_calculator_test.py

sandoche/city_visit_planner

20befca3d70db61bc83356eedd490a298b27f96f

[ "MIT" ]

null

import datetime import unittest from data import city_visit from router import cost_accumulator from router import point_fit as point_fit_ from router import day_visit_cost_calculator as day_visit_cost_calculator_ from router import test_util class DayVisitCostCalculatorTest(unittest.TestCase): @staticmethod def GetDayVisitParameters(start_datetime, end_datetime, lunch_start_datetime): return city_visit.DayVisitParameters( start_datetime=start_datetime, end_datetime=end_datetime, lunch_start_datetime=lunch_start_datetime, lunch_hours=1., start_coordinates=test_util.MockCoordinates('Hotel'), end_coordinates=test_util.MockCoordinates('Restaurant')) def setUp(self): self.no_point_visit_factor = 0. self.no_point_visit_const = 1000. self.unused_time_factor = 0.01 self.points = test_util.MockPoints() move_calculator = test_util.MockMoveCalculator() point_fit = point_fit_.SimplePointFit() cost_accumulator_generator=cost_accumulator.FactorCostAccumulatorGenerator( no_point_visit_factor=self.no_point_visit_factor, no_point_visit_const=self.no_point_visit_const, unused_time_factor=self.unused_time_factor) self.day_visit_cost_calculator_generator = day_visit_cost_calculator_.DayVisitCostCalculatorGenerator( move_calculator=move_calculator, point_fit=point_fit, cost_accumulator_generator=cost_accumulator_generator) super(DayVisitCostCalculatorTest, self).setUp() def testCannotAddPoint(self): day_visit_parameters = DayVisitCostCalculatorTest.GetDayVisitParameters( start_datetime=datetime.datetime(2014, 9, 1, 9, 0, 0), end_datetime=datetime.datetime(2014, 9, 1, 21, 15, 0), lunch_start_datetime=datetime.datetime(2014, 9, 1, 14, 0, 0)) day_visit_cost_calculator = ( self.day_visit_cost_calculator_generator.Generate( day_visit_parameters)) # Ferry Building. # Move: 9:00 - 10:00. # Point: 10:00 - 11:00. self.assertTrue( day_visit_cost_calculator.PushPoint(self.points['Ferry Building'])) self.assertEqual(datetime.datetime(2014, 9, 1, 11, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Ferry Building'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(2, day_visit_cost_calculator.CurrentCost()) self.assertEqual(8.95, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) # Pier 39. # Move: 11:00 - 12:00. # Point: 12:00 - 15:00. # Lunch: 15:00 - 16:00. self.assertTrue(day_visit_cost_calculator.PushPoint(self.points['Pier 39'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(7, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.75, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) day_visit_str_expected = """Date: 2014-09-01 Walking from Hotel to Ferry Building from 09:00:00 to 10:00:00 Visiting point "Ferry Building" from 10:00:00 to 11:00:00 Walking from Ferry Building to Pier 39 from 11:00:00 to 12:00:00 Visiting point "Pier 39" from 12:00:00 to 15:00:00 Having lunch from 15:00:00 to 16:00:00 Walking from Pier 39 to Restaurant from 16:00:00 to 20:00:00 Cost: 11.75 Price: 0.00""" self.assertEqual(day_visit_str_expected, str(day_visit_cost_calculator.FinalizedDayVisit())) # Twin Peaks. # Move: 16:00 - 21:00. # Cannot push point. # State should not have been changed, but cost should have been increased. self.assertFalse( day_visit_cost_calculator.PushPoint(self.points['Twin Peaks'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(7 + self.no_point_visit_const, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.75 + self.no_point_visit_const, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([self.points['Twin Peaks']], day_visit_cost_calculator.GetPointsLeft()) def testCannotAddMove(self): day_visit_parameters = DayVisitCostCalculatorTest.GetDayVisitParameters( start_datetime=datetime.datetime(2014, 9, 1, 9, 0, 0), end_datetime=datetime.datetime(2014, 9, 1, 20, 0, 0), lunch_start_datetime=datetime.datetime(2014, 9, 1, 11, 45, 0)) day_visit_cost_calculator = ( self.day_visit_cost_calculator_generator.Generate( day_visit_parameters)) # Ferry Building. # Move: 9:00 - 10:00. # Point: 10:00 - 11:00. self.assertTrue( day_visit_cost_calculator.PushPoint(self.points['Ferry Building'])) self.assertEqual(datetime.datetime(2014, 9, 1, 11, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Ferry Building'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(2, day_visit_cost_calculator.CurrentCost()) self.assertEqual(8.6, day_visit_cost_calculator.FinalizedCost()) # Lunch. self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) # Pier 39. # Move: 11:00 - 12:00. # Lunch: 12:00 - 13:00. # Point: 13:00 - 16:00. self.assertTrue(day_visit_cost_calculator.PushPoint(self.points['Pier 39'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(7, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) day_visit_str_expected = """Date: 2014-09-01 Walking from Hotel to Ferry Building from 09:00:00 to 10:00:00 Visiting point "Ferry Building" from 10:00:00 to 11:00:00 Walking from Ferry Building to Pier 39 from 11:00:00 to 12:00:00 Having lunch from 12:00:00 to 13:00:00 Visiting point "Pier 39" from 13:00:00 to 16:00:00 Walking from Pier 39 to Restaurant from 16:00:00 to 20:00:00 Cost: 11.00 Price: 0.00""" self.assertEqual(day_visit_str_expected, str(day_visit_cost_calculator.FinalizedDayVisit())) # Twin Peaks. # Cannot push move. # State should not have been changed, but cost should have been increased. self.assertFalse( day_visit_cost_calculator.PushPoint(self.points['Twin Peaks'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(7 + self.no_point_visit_const, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11 + self.no_point_visit_const, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([self.points['Twin Peaks']], day_visit_cost_calculator.GetPointsLeft()) def testPointDoesNotFit(self): day_visit_parameters = DayVisitCostCalculatorTest.GetDayVisitParameters( start_datetime=datetime.datetime(2014, 9, 1, 10, 30, 0), end_datetime=datetime.datetime(2014, 9, 1, 22, 30, 0), lunch_start_datetime=datetime.datetime(2014, 9, 1, 9, 30, 0)) # out of time range. day_visit_cost_calculator = ( self.day_visit_cost_calculator_generator.Generate( day_visit_parameters)) # Pier 39. # Move: 10:30 - 13:30. # Point: 13:30 - 16:30. self.assertTrue(day_visit_cost_calculator.PushPoint(self.points['Pier 39'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 30, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(6, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.2, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) day_visit_str_expected = """Date: 2014-09-01 Walking from Hotel to Pier 39 from 10:30:00 to 13:30:00 Visiting point "Pier 39" from 13:30:00 to 16:30:00 Walking from Pier 39 to Restaurant from 16:30:00 to 20:30:00 Cost: 11.20 Price: 0.00""" self.assertEqual(day_visit_str_expected, str(day_visit_cost_calculator.FinalizedDayVisit())) # Ferry Building. # Move: 16:30 - 17:30. # Point does not fit. # State should not have been changed, but cost should have been increased. self.assertFalse( day_visit_cost_calculator.PushPoint(self.points['Ferry Building'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 30, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(6 + self.no_point_visit_const, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.2 + self.no_point_visit_const, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([self.points['Ferry Building']], day_visit_cost_calculator.GetPointsLeft()) def testCannotFinalize(self): day_visit_parameters = DayVisitCostCalculatorTest.GetDayVisitParameters( start_datetime=datetime.datetime(2014, 9, 1, 9, 0, 0), end_datetime=datetime.datetime(2014, 9, 1, 18, 0, 0), lunch_start_datetime=datetime.datetime(2014, 9, 1, 12, 30, 0)) day_visit_cost_calculator = ( self.day_visit_cost_calculator_generator.Generate( day_visit_parameters)) # Ferry Building. # Move: 9:00 - 10:00. # Point: 10:00 - 11:00. self.assertTrue( day_visit_cost_calculator.PushPoint(self.points['Ferry Building'])) self.assertEqual(datetime.datetime(2014, 9, 1, 11, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Ferry Building'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(2, day_visit_cost_calculator.CurrentCost()) self.assertEqual(7.4, day_visit_cost_calculator.FinalizedCost()) # Lunch. self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) day_visit_str_expected = """Date: 2014-09-01 Walking from Hotel to Ferry Building from 09:00:00 to 10:00:00 Visiting point "Ferry Building" from 10:00:00 to 11:00:00 Walking from Ferry Building to Restaurant from 11:00:00 to 13:00:00 Having lunch from 13:00:00 to 14:00:00 Cost: 7.40 Price: 0.00""" self.assertEqual(day_visit_str_expected, str(day_visit_cost_calculator.FinalizedDayVisit())) # Pier 39. # Move: 11:00 - 12:00. # Point: 12:00 - 15:00. # Lunch: 15:00 - 16:00. # Cannot finalize. # State should not have been changed, but cost should have been increased. self.assertFalse( day_visit_cost_calculator.PushPoint(self.points['Pier 39'])) self.assertEqual(datetime.datetime(2014, 9, 1, 11, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Ferry Building'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(2 + self.no_point_visit_const, day_visit_cost_calculator.CurrentCost()) self.assertEqual(7.4 + self.no_point_visit_const, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([self.points['Pier 39']], day_visit_cost_calculator.GetPointsLeft()) def testLunchBeforeMove(self): day_visit_parameters = DayVisitCostCalculatorTest.GetDayVisitParameters( start_datetime=datetime.datetime(2014, 9, 1, 9, 0, 0), end_datetime=datetime.datetime(2014, 9, 1, 21, 0, 0), lunch_start_datetime=datetime.datetime(2014, 9, 1, 10, 0, 0)) day_visit_cost_calculator = ( self.day_visit_cost_calculator_generator.Generate( day_visit_parameters)) # Pier 39. # Lunch: 09:00 - 10:00. # Move: 10:00 - 13:00. # Point: 13:00 - 16:00. self.assertTrue(day_visit_cost_calculator.PushPoint(self.points['Pier 39'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(7, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.6, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) day_visit_str_expected = """Date: 2014-09-01 Having lunch from 09:00:00 to 10:00:00 Walking from Hotel to Pier 39 from 10:00:00 to 13:00:00 Visiting point "Pier 39" from 13:00:00 to 16:00:00 Walking from Pier 39 to Restaurant from 16:00:00 to 20:00:00 Cost: 11.60 Price: 0.00""" self.assertEqual(day_visit_str_expected, str(day_visit_cost_calculator.FinalizedDayVisit())) def testLunchAfterMove(self): day_visit_parameters = DayVisitCostCalculatorTest.GetDayVisitParameters( start_datetime=datetime.datetime(2014, 9, 1, 9, 0, 0), end_datetime=datetime.datetime(2014, 9, 1, 21, 0, 0), lunch_start_datetime=datetime.datetime(2014, 9, 1, 11, 0, 0)) day_visit_cost_calculator = ( self.day_visit_cost_calculator_generator.Generate( day_visit_parameters)) # Pier 39. # Move: 09:00 - 12:00. # Lunch: 12:00 - 13:00. # Point: 13:00 - 16:00. self.assertTrue(day_visit_cost_calculator.PushPoint(self.points['Pier 39'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(7, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.6, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) day_visit_str_expected = """Date: 2014-09-01 Walking from Hotel to Pier 39 from 09:00:00 to 12:00:00 Having lunch from 12:00:00 to 13:00:00 Visiting point "Pier 39" from 13:00:00 to 16:00:00 Walking from Pier 39 to Restaurant from 16:00:00 to 20:00:00 Cost: 11.60 Price: 0.00""" self.assertEqual(day_visit_str_expected, str(day_visit_cost_calculator.FinalizedDayVisit())) def testLunchBeforePoint(self): day_visit_parameters = DayVisitCostCalculatorTest.GetDayVisitParameters( start_datetime=datetime.datetime(2014, 9, 1, 9, 0, 0), end_datetime=datetime.datetime(2014, 9, 1, 21, 0, 0), lunch_start_datetime=datetime.datetime(2014, 9, 1, 13, 0, 0)) day_visit_cost_calculator = ( self.day_visit_cost_calculator_generator.Generate( day_visit_parameters)) # Pier 39. # Move: 09:00 - 12:00. # Lunch: 12:00 - 13:00. # Point: 13:00 - 16:00. self.assertTrue(day_visit_cost_calculator.PushPoint(self.points['Pier 39'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(7, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.6, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) day_visit_str_expected = """Date: 2014-09-01 Walking from Hotel to Pier 39 from 09:00:00 to 12:00:00 Having lunch from 12:00:00 to 13:00:00 Visiting point "Pier 39" from 13:00:00 to 16:00:00 Walking from Pier 39 to Restaurant from 16:00:00 to 20:00:00 Cost: 11.60 Price: 0.00""" self.assertEqual(day_visit_str_expected, str(day_visit_cost_calculator.FinalizedDayVisit())) def testLunchAfterPoint(self): day_visit_parameters = DayVisitCostCalculatorTest.GetDayVisitParameters( start_datetime=datetime.datetime(2014, 9, 1, 9, 0, 0), end_datetime=datetime.datetime(2014, 9, 1, 21, 0, 0), lunch_start_datetime=datetime.datetime(2014, 9, 1, 14, 0, 0)) day_visit_cost_calculator = ( self.day_visit_cost_calculator_generator.Generate( day_visit_parameters)) # Pier 39. # Move: 09:00 - 12:00. # Point: 12:00 - 15:00. # Lunch: 15:00 - 16:00. self.assertTrue(day_visit_cost_calculator.PushPoint(self.points['Pier 39'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(7, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.6, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) day_visit_str_expected = """Date: 2014-09-01 Walking from Hotel to Pier 39 from 09:00:00 to 12:00:00 Visiting point "Pier 39" from 12:00:00 to 15:00:00 Having lunch from 15:00:00 to 16:00:00 Walking from Pier 39 to Restaurant from 16:00:00 to 20:00:00 Cost: 11.60 Price: 0.00""" self.assertEqual(day_visit_str_expected, str(day_visit_cost_calculator.FinalizedDayVisit())) def testLunchBeforeFinalization(self): day_visit_parameters = DayVisitCostCalculatorTest.GetDayVisitParameters( start_datetime=datetime.datetime(2014, 9, 1, 9, 0, 0), end_datetime=datetime.datetime(2014, 9, 1, 21, 0, 0), lunch_start_datetime=datetime.datetime(2014, 9, 1, 16, 0, 0)) day_visit_cost_calculator = ( self.day_visit_cost_calculator_generator.Generate( day_visit_parameters)) # Pier 39. # Move: 09:00 - 12:00. # Point: 12:00 - 15:00. self.assertTrue(day_visit_cost_calculator.PushPoint(self.points['Pier 39'])) self.assertEqual(datetime.datetime(2014, 9, 1, 15, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(6, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.6, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) day_visit_str_expected = """Date: 2014-09-01 Walking from Hotel to Pier 39 from 09:00:00 to 12:00:00 Visiting point "Pier 39" from 12:00:00 to 15:00:00 Having lunch from 15:00:00 to 16:00:00 Walking from Pier 39 to Restaurant from 16:00:00 to 20:00:00 Cost: 11.60 Price: 0.00""" self.assertEqual(day_visit_str_expected, str(day_visit_cost_calculator.FinalizedDayVisit())) def testLunchAfterFinalization(self): day_visit_parameters = DayVisitCostCalculatorTest.GetDayVisitParameters( start_datetime=datetime.datetime(2014, 9, 1, 9, 0, 0), end_datetime=datetime.datetime(2014, 9, 1, 21, 0, 0), lunch_start_datetime=datetime.datetime(2014, 9, 1, 18, 0, 0)) day_visit_cost_calculator = ( self.day_visit_cost_calculator_generator.Generate( day_visit_parameters)) # Pier 39. # Move: 09:00 - 12:00. # Point: 12:00 - 15:00. self.assertTrue(day_visit_cost_calculator.PushPoint(self.points['Pier 39'])) self.assertEqual(datetime.datetime(2014, 9, 1, 15, 0, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(6, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.6, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) day_visit_str_expected = """Date: 2014-09-01 Walking from Hotel to Pier 39 from 09:00:00 to 12:00:00 Visiting point "Pier 39" from 12:00:00 to 15:00:00 Walking from Pier 39 to Restaurant from 15:00:00 to 19:00:00 Having lunch from 19:00:00 to 20:00:00 Cost: 11.60 Price: 0.00""" self.assertEqual(day_visit_str_expected, str(day_visit_cost_calculator.FinalizedDayVisit())) def testCannotPushPointAfterFail(self): day_visit_parameters = DayVisitCostCalculatorTest.GetDayVisitParameters( start_datetime=datetime.datetime(2014, 9, 1, 10, 30, 0), end_datetime=datetime.datetime(2014, 9, 1, 22, 30, 0), lunch_start_datetime=datetime.datetime(2014, 9, 1, 9, 30, 0)) # out of time range. # Test that Union Square can be pushed by time. day_visit_cost_calculator = ( self.day_visit_cost_calculator_generator.Generate( day_visit_parameters)) # Pier 39. # Move: 10:30 - 13:30. # Point: 13:30 - 16:30. self.assertTrue(day_visit_cost_calculator.PushPoint(self.points['Pier 39'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 30, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(6, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.2, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) # Union Square. # Move: 16:30 - 18:30 # Point: 18:30 - 19:30 self.assertTrue( day_visit_cost_calculator.PushPoint(self.points['Union Square'])) self.assertEqual(datetime.datetime(2014, 9, 1, 19, 30, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Union Square'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(9, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.2, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) # Test that Union Square can be pushed by time, but should not be since # previous step failed. day_visit_cost_calculator = ( self.day_visit_cost_calculator_generator.Generate( day_visit_parameters)) # Pier 39. # Move: 10:30 - 13:30. # Point: 13:30 - 16:30. self.assertTrue(day_visit_cost_calculator.PushPoint(self.points['Pier 39'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 30, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(6, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.2, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([], day_visit_cost_calculator.GetPointsLeft()) # Ferry Building. # Move: 16:30 - 17:30. # Point does not fit. # State should not have been changed, but cost should have been increased. self.assertFalse( day_visit_cost_calculator.PushPoint(self.points['Ferry Building'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 30, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(6 + self.no_point_visit_const, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.2 + self.no_point_visit_const, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([self.points['Ferry Building']], day_visit_cost_calculator.GetPointsLeft()) # Union Square. # Point can be pushed by time, but should not be since previous step # failed. # State should not have been changed, but cost should have been increased. self.assertFalse( day_visit_cost_calculator.PushPoint(self.points['Union Square'])) self.assertEqual(datetime.datetime(2014, 9, 1, 16, 30, 0), day_visit_cost_calculator.CurrentTime()) self.assertEqual(test_util.MockCoordinates('Pier 39'), day_visit_cost_calculator.CurrentCoordinates()) self.assertEqual(6 + self.no_point_visit_const * 2, day_visit_cost_calculator.CurrentCost()) self.assertEqual(11.2 + self.no_point_visit_const * 2, day_visit_cost_calculator.FinalizedCost()) self.assertEqual([self.points['Ferry Building'], self.points['Union Square']], day_visit_cost_calculator.GetPointsLeft()) if __name__ == '__main__': unittest.main()

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0

null

0

1

0

1

0

null

0

8

68b8657ba21492033cb924c0219a7e6500260772

126

py

Python

platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/viper/calculators/calc_aox.py

SiliconLabs/Gecko_SDK

991121c706578c9a2135b6f75cc88856e8c64bdc

[ "Zlib" ]

82

2016-06-29T17:24:43.000Z

2021-04-16T06:49:17.000Z

platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/viper/calculators/calc_aox.py

SiliconLabs/Gecko_SDK

991121c706578c9a2135b6f75cc88856e8c64bdc

[ "Zlib" ]

2

2017-02-13T10:07:17.000Z

2017-03-22T21:28:26.000Z

platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/viper/calculators/calc_aox.py

SiliconLabs/Gecko_SDK

991121c706578c9a2135b6f75cc88856e8c64bdc

[ "Zlib" ]

56

2016-08-02T10:50:50.000Z

2021-07-19T08:57:34.000Z

from pyradioconfig.parts.bobcat.calculators.calc_aox import Calc_AoX_Bobcat class calc_aox_viper(Calc_AoX_Bobcat): pass

21

75

0.84127

19

126

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null

0

1

0

1

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8

68c17083e03434a92cc22daf487180c136412df7

98

py

Python

Tests/config.py

ShavImigne/PlayChess

1eb0dcaf1d58b02bdc880f8e51857a87696ee461

[ "MIT" ]

12

2018-05-02T13:13:41.000Z

2022-03-13T15:37:29.000Z

Tests/config.py

ShavImigne/PlayChess

1eb0dcaf1d58b02bdc880f8e51857a87696ee461

[ "MIT" ]

24

2018-05-03T13:06:56.000Z

2019-08-13T14:49:03.000Z

Tests/config.py

ShavImigne/PlayChess

1eb0dcaf1d58b02bdc880f8e51857a87696ee461

[ "MIT" ]

17

2018-05-03T13:46:40.000Z

2021-06-26T13:57:05.000Z

import os db_user = os.environ.get('TEST_USER', None) db_pass = os.environ.get('TEST_PASS', None)

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0.352941

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1

0

1

0

null

0

1

0

7

68c56bedc4b8f5a7e8fb87578983bfd9f353e80b

192

py

Python

migrations/20130702003237-unique-image-tag.py

AndrewLorente/catsnap

57427b8f61ef5185a41e49d55ffd7dd328777834

[ "MIT" ]

5

2015-11-23T18:40:00.000Z

2019-03-22T06:54:04.000Z

migrations/20130702003237-unique-image-tag.py

AndrewLorente/catsnap

57427b8f61ef5185a41e49d55ffd7dd328777834

[ "MIT" ]

5

2016-04-07T15:35:53.000Z

2019-02-10T23:00:32.000Z

migrations/20130702003237-unique-image-tag.py

AndrewLorente/catsnap

57427b8f61ef5185a41e49d55ffd7dd328777834

[ "MIT" ]

2

2015-12-02T16:44:05.000Z

2017-09-29T23:17:33.000Z

step( """ create unique index unq_image_tag_image_id_tag_id on image_tag (image_id, tag_id) """, """ drop index unq_image_tag_image_id_tag_id """ )

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1

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1

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null

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1

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7

68c8fffe49659ae4697c560697ec3e3bcb643ad7

5,497

py

Python

ddb_ngsflow/variation/haplotypecaller.py

dgaston/ddbio-ngsflow

b5a0f65b92f4de5706ae22b1c710c080761a4634

[ "BSD-2-Clause" ]

1

2016-03-24T18:03:13.000Z

ddb_ngsflow/variation/haplotypecaller.py

dgaston/ddbio-ngsflow

b5a0f65b92f4de5706ae22b1c710c080761a4634

[ "BSD-2-Clause" ]

null

ddb_ngsflow/variation/haplotypecaller.py

dgaston/ddbio-ngsflow

b5a0f65b92f4de5706ae22b1c710c080761a4634

[ "BSD-2-Clause" ]

null

""" .. module:: haplotypecaller :platform: Unix, OSX :synopsis: A wrapper module for calling MuTect. .. moduleauthor:: Daniel Gaston <daniel.gaston@dal.ca> """ from ddb_ngsflow import pipeline def haplotypecaller_single(job, config, name, samples, input_bam): """Generate gVCF files for a sample using the HaplotypeCaller :param config: The configuration dictionary. :type config: dict. :param name: sample name. :type name: str. :param samples: samples configuration dictionary :type samples: dict :param input_bam: The input_bam file name to process. :type input_bam: str. :returns: str -- The output vcf file name. """ gvcf = "{}.haplotypecaller.g.vcf".format(name) logfile = "{}.haplotypecaller_gvcf.log".format(name) command = ["{}".format(config['gatk-haplotypecaller']['bin']), "-T", "HaplotypeCaller", "-R", "{}".format(config['reference']), "--dbsnp", "{}".format(config['dbsnp']), "-I", "{}".format(input_bam), "-L", "{}".format(samples[name]['regions']), "--emitRefConfidence GVCF", "--variant_index_type LINEAR", "--variant_index_parameter 128000", "-o", "{}".format(gvcf)] job.fileStore.logToMaster("HaplotypeCaller Command: {}\n".format(command)) pipeline.run_and_log_command(" ".join(command), logfile) return gvcf def joint_variant_calling(job, config, name, samples): """Create a cohort VCF file based on joint calling from gVCF files :param config: The configuration dictionary. :type config: dict. :param sample: sample name. :type sample: str. :param samples: samples configuration dictionary :type samples: dict :param input_bam: The input_bam file name to process. :type input_bam: str. :returns: str -- The output vcf file name. """ vcf = "{}.haplotypecaller.vcf".format(name) logfile = "{}.haplotypecaller_gvcf.log".format(name) gvcfs = list() for sample in samples: gvcfs.append("--variant {}.haplotypecaller.g.vcf".format(sample)) gvcf_string = " ".join(gvcfs) command = ["{}".format(config['gatk-jointgenotyper']['bin']), "-T", "GenotypeGVCFs", "-R", "{}".format(config['reference']), "{}".format(gvcf_string), "-nt", "{}".format(config['gatk-jointgenotyper']['num_cores']), "-o", "{}".format(vcf)] job.fileStore.logToMaster("GenotypeVCFs Command: {}\n".format(command)) pipeline.run_and_log_command(" ".join(command), logfile) return vcf def haplotypecaller_amplicon(job, config, name, samples, input_bam): """Generate gVCF files for a sample using the HaplotypeCaller :param config: The configuration dictionary. :type config: dict. :param name: sample name. :type name: str. :param samples: samples configuration dictionary :type samples: dict :param input_bam: The input_bam file name to process. :type input_bam: str. :returns: str -- The output vcf file name. """ gvcf = "{}.haplotypecaller.g.vcf".format(name) logfile = "{}.haplotypecaller_gvcf.log".format(name) command = ["{}".format(config['gatk-haplotypecaller']['bin']), "-T", "HaplotypeCaller", "-R", "{}".format(config['reference']), "--dbsnp", "{}".format(config['dbsnp']), "-I", "{}".format(input_bam), "-L", "{}".format(samples[name]['regions']), "-drf DuplicateRead", "--emitRefConfidence GVCF", "--variant_index_type LINEAR", "--variant_index_parameter 128000", "-o", "{}".format(gvcf)] job.fileStore.logToMaster("HaplotypeCaller Command: {}\n".format(command)) pipeline.run_and_log_command(" ".join(command), logfile) return gvcf def joint_variant_calling_amplicon(job, config, name, samples): """Create a cohort VCF file based on joint calling from gVCF files :param config: The configuration dictionary. :type config: dict. :param sample: sample name. :type sample: str. :param samples: samples configuration dictionary :type samples: dict :param input_bam: The input_bam file name to process. :type input_bam: str. :returns: str -- The output vcf file name. """ vcf = "{}.haplotypecaller.vcf".format(name) logfile = "{}.haplotypecaller_gvcf.log".format(name) gvcfs = list() for sample in samples: gvcfs.append("--variant {}.haplotypecaller.g.vcf".format(sample)) gvcf_string = " ".join(gvcfs) command = ["{}".format(config['gatk-jointgenotyper']['bin']), "-T", "GenotypeGVCFs", "-R", "{}".format(config['reference']), "{}".format(gvcf_string), "-nt", "{}".format(config['gatk-jointgenotyper']['num_cores']), "-drf DuplicateRead", "-o", "{}".format(vcf)] job.fileStore.logToMaster("GenotypeVCFs Command: {}\n".format(command)) pipeline.run_and_log_command(" ".join(command), logfile) return vcf

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7

68cbe4a76450a7c74bdd21db93ed75edbf00e857

307

py

Python

nox_tools/__init__.py

AliGhahraei/nox-tools

5d1582633b7d03100aa7cc505315820cda9c85b2

[ "MIT" ]

null

nox_tools/__init__.py

AliGhahraei/nox-tools

5d1582633b7d03100aa7cc505315820cda9c85b2

[ "MIT" ]

null

nox_tools/__init__.py

AliGhahraei/nox-tools

5d1582633b7d03100aa7cc505315820cda9c85b2

[ "MIT" ]

null

#!/usr/bin/env python3 from nox_tools.sessions import ( config, install_current_package, install_requirements, install_test_packages, linting, tests, typing, ) __all__ = [ 'config', 'install_current_package', 'install_requirements', 'install_test_packages', 'linting', 'tests', 'typing', ]

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0

7

ec499712284cd332daef0cb9c0cf0f5ffc26cb2a

14,335

py

Python

thecut/menus/south_migrations/0001_initial.py

exemplarysoftware/thecut-menus

36682610ea975c350158ceb4cb3515c661812413

[ "Apache-2.0" ]

null

thecut/menus/south_migrations/0001_initial.py

exemplarysoftware/thecut-menus

36682610ea975c350158ceb4cb3515c661812413

[ "Apache-2.0" ]

null

thecut/menus/south_migrations/0001_initial.py

exemplarysoftware/thecut-menus

36682610ea975c350158ceb4cb3515c661812413

[ "Apache-2.0" ]

null

# encoding: utf-8 import datetime from south.db import db from south.v2 import SchemaMigration from django.db import models from thecut.authorship.settings import AUTH_USER_MODEL class Migration(SchemaMigration): def forwards(self, orm): # Adding model 'Menu' db.create_table('menus_menu', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('is_enabled', self.gf('django.db.models.fields.BooleanField')(default=True)), ('is_featured', self.gf('django.db.models.fields.BooleanField')(default=False)), ('publish_at', self.gf('django.db.models.fields.DateTimeField')()), ('publish_by', self.gf('django.db.models.fields.related.ForeignKey')(blank=True, related_name='menu_publish_by_user', null=True, to=orm[AUTH_USER_MODEL])), ('created_at', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), ('created_by', self.gf('django.db.models.fields.related.ForeignKey')(related_name='menu_created_by_user', to=orm[AUTH_USER_MODEL])), ('updated_at', self.gf('django.db.models.fields.DateTimeField')(auto_now=True, blank=True)), ('updated_by', self.gf('django.db.models.fields.related.ForeignKey')(related_name='menu_updated_by_user', to=orm[AUTH_USER_MODEL])), ('name', self.gf('django.db.models.fields.CharField')(max_length=100)), ('slug', self.gf('django.db.models.fields.SlugField')(unique=True, max_length=50, db_index=True)), )) db.send_create_signal('menus', ['Menu']) # Adding model 'MenuItem' db.create_table('menus_menuitem', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('is_enabled', self.gf('django.db.models.fields.BooleanField')(default=True)), ('is_featured', self.gf('django.db.models.fields.BooleanField')(default=False)), ('publish_at', self.gf('django.db.models.fields.DateTimeField')()), ('publish_by', self.gf('django.db.models.fields.related.ForeignKey')(blank=True, related_name='menuitem_publish_by_user', null=True, to=orm[AUTH_USER_MODEL])), ('created_at', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), ('created_by', self.gf('django.db.models.fields.related.ForeignKey')(related_name='menuitem_created_by_user', to=orm[AUTH_USER_MODEL])), ('updated_at', self.gf('django.db.models.fields.DateTimeField')(auto_now=True, blank=True)), ('updated_by', self.gf('django.db.models.fields.related.ForeignKey')(related_name='menuitem_updated_by_user', to=orm[AUTH_USER_MODEL])), ('name', self.gf('django.db.models.fields.CharField')(max_length=100, null=True, blank=True)), ('title', self.gf('django.db.models.fields.CharField')(max_length=200, null=True, blank=True)), ('order', self.gf('django.db.models.fields.PositiveIntegerField')(default=0)), ('menu', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['menus.Menu'])), ('content_type', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['contenttypes.ContentType'])), ('object_id', self.gf('django.db.models.fields.IntegerField')()), )) db.send_create_signal('menus', ['MenuItem']) # Adding model 'ViewLink' db.create_table('menus_viewlink', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('is_enabled', self.gf('django.db.models.fields.BooleanField')(default=True)), ('is_featured', self.gf('django.db.models.fields.BooleanField')(default=False)), ('publish_at', self.gf('django.db.models.fields.DateTimeField')()), ('publish_by', self.gf('django.db.models.fields.related.ForeignKey')(blank=True, related_name='viewlink_publish_by_user', null=True, to=orm[AUTH_USER_MODEL])), ('created_at', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), ('created_by', self.gf('django.db.models.fields.related.ForeignKey')(related_name='viewlink_created_by_user', to=orm[AUTH_USER_MODEL])), ('updated_at', self.gf('django.db.models.fields.DateTimeField')(auto_now=True, blank=True)), ('updated_by', self.gf('django.db.models.fields.related.ForeignKey')(related_name='viewlink_updated_by_user', to=orm[AUTH_USER_MODEL])), ('name', self.gf('django.db.models.fields.CharField')(max_length=100)), ('view', self.gf('django.db.models.fields.CharField')(max_length=100)), )) db.send_create_signal('menus', ['ViewLink']) # Adding model 'WebLink' db.create_table('menus_weblink', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('is_enabled', self.gf('django.db.models.fields.BooleanField')(default=True)), ('is_featured', self.gf('django.db.models.fields.BooleanField')(default=False)), ('publish_at', self.gf('django.db.models.fields.DateTimeField')()), ('publish_by', self.gf('django.db.models.fields.related.ForeignKey')(blank=True, related_name='weblink_publish_by_user', null=True, to=orm[AUTH_USER_MODEL])), ('created_at', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), ('created_by', self.gf('django.db.models.fields.related.ForeignKey')(related_name='weblink_created_by_user', to=orm[AUTH_USER_MODEL])), ('updated_at', self.gf('django.db.models.fields.DateTimeField')(auto_now=True, blank=True)), ('updated_by', self.gf('django.db.models.fields.related.ForeignKey')(related_name='weblink_updated_by_user', to=orm[AUTH_USER_MODEL])), ('name', self.gf('django.db.models.fields.CharField')(max_length=100)), ('url', self.gf('django.db.models.fields.URLField')(max_length=200)), )) db.send_create_signal('menus', ['WebLink']) def backwards(self, orm): # Deleting model 'Menu' db.delete_table('menus_menu') # Deleting model 'MenuItem' db.delete_table('menus_menuitem') # Deleting model 'ViewLink' db.delete_table('menus_viewlink') # Deleting model 'WebLink' db.delete_table('menus_weblink') models = { 'auth.group': { 'Meta': {'object_name': 'Group'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}), 'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}) }, 'auth.permission': { 'Meta': {'ordering': "('content_type__app_label', 'content_type__model', 'codename')", 'unique_together': "(('content_type', 'codename'),)", 'object_name': 'Permission'}, 'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, AUTH_USER_MODEL: { 'Meta': {'object_name': AUTH_USER_MODEL.split('.')[-1]}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}) }, 'contenttypes.contenttype': { 'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"}, 'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}) }, 'menus.menu': { 'Meta': {'ordering': "['-created_at']", 'object_name': 'Menu'}, 'created_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'created_by': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'menu_created_by_user'", 'to': "orm['{0}']".format(AUTH_USER_MODEL)}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_enabled': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'is_featured': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'publish_at': ('django.db.models.fields.DateTimeField', [], {}), 'publish_by': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'menu_publish_by_user'", 'null': 'True', 'to': "orm['{0}']".format(AUTH_USER_MODEL)}), 'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '50', 'db_index': 'True'}), 'updated_at': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}), 'updated_by': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'menu_updated_by_user'", 'to': "orm['{0}']".format(AUTH_USER_MODEL)}) }, 'menus.menuitem': { 'Meta': {'ordering': "['order']", 'object_name': 'MenuItem'}, 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}), 'created_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'created_by': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'menuitem_created_by_user'", 'to': "orm['{0}']".format(AUTH_USER_MODEL)}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_enabled': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'is_featured': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'menu': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['menus.Menu']"}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}), 'object_id': ('django.db.models.fields.IntegerField', [], {}), 'order': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}), 'publish_at': ('django.db.models.fields.DateTimeField', [], {}), 'publish_by': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'menuitem_publish_by_user'", 'null': 'True', 'to': "orm['{0}']".format(AUTH_USER_MODEL)}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'updated_at': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}), 'updated_by': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'menuitem_updated_by_user'", 'to': "orm['{0}']".format(AUTH_USER_MODEL)}) }, 'menus.viewlink': { 'Meta': {'ordering': "['-created_at']", 'object_name': 'ViewLink'}, 'created_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'created_by': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'viewlink_created_by_user'", 'to': "orm['{0}']".format(AUTH_USER_MODEL)}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_enabled': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'is_featured': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'publish_at': ('django.db.models.fields.DateTimeField', [], {}), 'publish_by': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'viewlink_publish_by_user'", 'null': 'True', 'to': "orm['{0}']".format(AUTH_USER_MODEL)}), 'updated_at': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}), 'updated_by': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'viewlink_updated_by_user'", 'to': "orm['{0}']".format(AUTH_USER_MODEL)}), 'view': ('django.db.models.fields.CharField', [], {'max_length': '100'}) }, 'menus.weblink': { 'Meta': {'ordering': "['-created_at']", 'object_name': 'WebLink'}, 'created_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'created_by': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'weblink_created_by_user'", 'to': "orm['{0}']".format(AUTH_USER_MODEL)}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_enabled': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'is_featured': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'publish_at': ('django.db.models.fields.DateTimeField', [], {}), 'publish_by': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'weblink_publish_by_user'", 'null': 'True', 'to': "orm['{0}']".format(AUTH_USER_MODEL)}), 'updated_at': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}), 'updated_by': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'weblink_updated_by_user'", 'to': "orm['{0}']".format(AUTH_USER_MODEL)}), 'url': ('django.db.models.fields.URLField', [], {'max_length': '200'}) } } complete_apps = ['menus']

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6b76347e2d9e50ac57727f08619a4a9dcfd06b52

100

py

Python

test-crates/pyo3-mixed/test_pyo3_mixed.py

thedrow/maturin

53dd4c2a2b548e8e9a1a390dccf161f61ee6137e

[ "Apache-2.0", "MIT" ]

854

2019-09-01T13:08:28.000Z

2022-03-30T11:52:48.000Z

test-crates/pyo3-mixed/test_pyo3_mixed.py

thedrow/maturin

53dd4c2a2b548e8e9a1a390dccf161f61ee6137e

[ "Apache-2.0", "MIT" ]

546

2019-08-30T18:13:18.000Z

2022-03-31T16:00:19.000Z

test-crates/pyo3-mixed/test_pyo3_mixed.py

pombredanne/pyo3-pack

b556ed1d3a1eab65f180e5da5c00648173e77f1d

[ "Apache-2.0", "MIT" ]

92

2019-09-06T07:34:38.000Z

2022-03-30T22:03:49.000Z

#!/usr/bin/env python3 import pyo3_mixed def test_get_42(): assert pyo3_mixed.get_42() == 42

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1

0

1

0

7

6bbd68d4a5f5fe27a342575f588ca009e0ac8423

1,184

py

Python

tests/test_provider_pmorillon_grid5000.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

tests/test_provider_pmorillon_grid5000.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

tests/test_provider_pmorillon_grid5000.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# tests/test_provider_pmorillon_grid5000.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:17:36 UTC) def test_provider_import(): import terrascript.provider.pmorillon.grid5000 def test_resource_import(): from terrascript.resource.pmorillon.grid5000 import grid5000_ceph_pool from terrascript.resource.pmorillon.grid5000 import grid5000_deployment from terrascript.resource.pmorillon.grid5000 import grid5000_job def test_datasource_import(): from terrascript.data.pmorillon.grid5000 import grid5000_ceph_auth from terrascript.data.pmorillon.grid5000 import grid5000_node from terrascript.data.pmorillon.grid5000 import grid5000_site from terrascript.data.pmorillon.grid5000 import grid5000_vlan_nodelist # TODO: Shortcut imports without namespace for official and supported providers. # TODO: This has to be moved into a required_providers block. # def test_version_source(): # # import terrascript.provider.pmorillon.grid5000 # # t = terrascript.provider.pmorillon.grid5000.grid5000() # s = str(t) # # assert 'https://github.com/pmorillon/terraform-provider-grid5000' in s # assert '0.0.7' in s

30.358974

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1,184

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null

0

1

0

1

0

1

0

1

0

8

6bd9fd8a14cd033df798908808112cb264eb75c6

11,879

py

Python

eips_code/eip-3670.py

ipsilon/eof

5c7e7fd5638f7476707c097e2b8fdcfb41a254d6

[ "Apache-2.0" ]

null

eips_code/eip-3670.py

ipsilon/eof

5c7e7fd5638f7476707c097e2b8fdcfb41a254d6

[ "Apache-2.0" ]

null

eips_code/eip-3670.py

ipsilon/eof

5c7e7fd5638f7476707c097e2b8fdcfb41a254d6

[ "Apache-2.0" ]

null

# The ranges below are as specified in the Yellow Paper. # Note: range(s, e) excludes e, hence the +1 valid_opcodes = [ *range(0x00, 0x0b + 1), *range(0x10, 0x1d + 1), 0x20, *range(0x30, 0x3f + 1), *range(0x40, 0x48 + 1), *range(0x50, 0x5b + 1), *range(0x60, 0x6f + 1), *range(0x70, 0x7f + 1), *range(0x80, 0x8f + 1), *range(0x90, 0x9f + 1), *range(0xa0, 0xa4 + 1), # Note: 0xfe is considered assigned. *range(0xf0, 0xf5 + 1), 0xfa, 0xfd, 0xfe, 0xff ] # STOP, RETURN, REVERT, INVALID, SELFDESTRUCT terminating_opcodes = [ 0x00, 0xf3, 0xfd, 0xfe, 0xff ] # Only for PUSH1..PUSH32 immediate_sizes = 256 * [0] for opcode in range(0x60, 0x7f + 1): # PUSH1..PUSH32 immediate_sizes[opcode] = opcode - 0x60 + 1 # Fails with assertion on invalid code def validate_code(code: bytes): # Note that EOF1 already asserts this with the code section requirements assert len(code) > 0 opcode = 0 pos = 0 while pos < len(code): # Ensure the opcode is valid opcode = code[pos] pos += 1 assert opcode in valid_opcodes # Skip immediates pos += immediate_sizes[opcode] # Ensure last opcode's immediate doesn't go over code end assert pos == len(code) # opcode is the *last opcode* assert opcode in terminating_opcodes def test_validate_code(code: bytes) -> bool: try: validate_code(code) return True except: return False # Some valid opcodes assert test_validate_code(b'\x30\x00') == True assert test_validate_code(b'\x50\x00') == True assert test_validate_code(b'\xfe\x00') == True assert test_validate_code(b'\xff\x00') == True # PUSHes with valid immediates assert test_validate_code(b'\x60\x00\x00') == True assert test_validate_code(b'\x61' + b'\x00' * 2 + b'\x00') == True assert test_validate_code(b'\x62' + b'\x00' * 3 + b'\x00') == True assert test_validate_code(b'\x63' + b'\x00' * 4 + b'\x00') == True assert test_validate_code(b'\x64' + b'\x00' * 5 + b'\x00') == True assert test_validate_code(b'\x65' + b'\x00' * 6 + b'\x00') == True assert test_validate_code(b'\x66' + b'\x00' * 7 + b'\x00') == True assert test_validate_code(b'\x67' + b'\x00' * 8 + b'\x00') == True assert test_validate_code(b'\x68' + b'\x00' * 9 + b'\x00') == True assert test_validate_code(b'\x69' + b'\x00' * 10 + b'\x00') == True assert test_validate_code(b'\x6a' + b'\x00' * 11 + b'\x00') == True assert test_validate_code(b'\x6b' + b'\x00' * 12 + b'\x00') == True assert test_validate_code(b'\x6c' + b'\x00' * 13 + b'\x00') == True assert test_validate_code(b'\x6d' + b'\x00' * 14 + b'\x00') == True assert test_validate_code(b'\x6e' + b'\x00' * 15 + b'\x00') == True assert test_validate_code(b'\x6f' + b'\x00' * 16 + b'\x00') == True assert test_validate_code(b'\x70' + b'\x00' * 17 + b'\x00') == True assert test_validate_code(b'\x71' + b'\x00' * 18 + b'\x00') == True assert test_validate_code(b'\x72' + b'\x00' * 19 + b'\x00') == True assert test_validate_code(b'\x73' + b'\x00' * 20 + b'\x00') == True assert test_validate_code(b'\x74' + b'\x00' * 21 + b'\x00') == True assert test_validate_code(b'\x75' + b'\x00' * 22 + b'\x00') == True assert test_validate_code(b'\x76' + b'\x00' * 23 + b'\x00') == True assert test_validate_code(b'\x77' + b'\x00' * 24 + b'\x00') == True assert test_validate_code(b'\x78' + b'\x00' * 25 + b'\x00') == True assert test_validate_code(b'\x79' + b'\x00' * 26 + b'\x00') == True assert test_validate_code(b'\x7a' + b'\x00' * 27 + b'\x00') == True assert test_validate_code(b'\x7b' + b'\x00' * 28 + b'\x00') == True assert test_validate_code(b'\x7c' + b'\x00' * 29 + b'\x00') == True assert test_validate_code(b'\x7d' + b'\x00' * 30 + b'\x00') == True assert test_validate_code(b'\x7e' + b'\x00' * 31 + b'\x00') == True assert test_validate_code(b'\x7f' + b'\x00' * 32 + b'\x00') == True # Valid code terminators assert test_validate_code(b'\x00') == True assert test_validate_code(b'\xf3') == True assert test_validate_code(b'\xfd') == True assert test_validate_code(b'\xfe') == True # Empty code assert test_validate_code(b'') == False # Valid opcode, but invalid as terminator assert test_validate_code(b'\x5b') == False # Invalid opcodes assert test_validate_code(b'\x0c\x00') == False assert test_validate_code(b'\x0d\x00') == False assert test_validate_code(b'\x0e\x00') == False assert test_validate_code(b'\x0f\x00') == False assert test_validate_code(b'\x1e\x00') == False assert test_validate_code(b'\x1f\x00') == False assert test_validate_code(b'\x21\x00') == False assert test_validate_code(b'\x22\x00') == False assert test_validate_code(b'\x23\x00') == False assert test_validate_code(b'\x24\x00') == False assert test_validate_code(b'\x25\x00') == False assert test_validate_code(b'\x26\x00') == False assert test_validate_code(b'\x27\x00') == False assert test_validate_code(b'\x28\x00') == False assert test_validate_code(b'\x29\x00') == False assert test_validate_code(b'\x2a\x00') == False assert test_validate_code(b'\x2b\x00') == False assert test_validate_code(b'\x2c\x00') == False assert test_validate_code(b'\x2d\x00') == False assert test_validate_code(b'\x2e\x00') == False assert test_validate_code(b'\x2f\x00') == False assert test_validate_code(b'\x49\x00') == False assert test_validate_code(b'\x4a\x00') == False assert test_validate_code(b'\x4b\x00') == False assert test_validate_code(b'\x4c\x00') == False assert test_validate_code(b'\x4d\x00') == False assert test_validate_code(b'\x4e\x00') == False assert test_validate_code(b'\x4f\x00') == False assert test_validate_code(b'\x5c\x00') == False assert test_validate_code(b'\x5d\x00') == False assert test_validate_code(b'\x5e\x00') == False assert test_validate_code(b'\x5f\x00') == False assert test_validate_code(b'\xa5\x00') == False assert test_validate_code(b'\xa6\x00') == False assert test_validate_code(b'\xa7\x00') == False assert test_validate_code(b'\xa8\x00') == False assert test_validate_code(b'\xa9\x00') == False assert test_validate_code(b'\xaa\x00') == False assert test_validate_code(b'\xab\x00') == False assert test_validate_code(b'\xac\x00') == False assert test_validate_code(b'\xad\x00') == False assert test_validate_code(b'\xae\x00') == False assert test_validate_code(b'\xaf\x00') == False assert test_validate_code(b'\xb0\x00') == False assert test_validate_code(b'\xb1\x00') == False assert test_validate_code(b'\xb2\x00') == False assert test_validate_code(b'\xb3\x00') == False assert test_validate_code(b'\xb4\x00') == False assert test_validate_code(b'\xb5\x00') == False assert test_validate_code(b'\xb6\x00') == False assert test_validate_code(b'\xb7\x00') == False assert test_validate_code(b'\xb8\x00') == False assert test_validate_code(b'\xb9\x00') == False assert test_validate_code(b'\xba\x00') == False assert test_validate_code(b'\xbb\x00') == False assert test_validate_code(b'\xbc\x00') == False assert test_validate_code(b'\xbd\x00') == False assert test_validate_code(b'\xbe\x00') == False assert test_validate_code(b'\xbf\x00') == False assert test_validate_code(b'\xc0\x00') == False assert test_validate_code(b'\xc1\x00') == False assert test_validate_code(b'\xc2\x00') == False assert test_validate_code(b'\xc3\x00') == False assert test_validate_code(b'\xc4\x00') == False assert test_validate_code(b'\xc5\x00') == False assert test_validate_code(b'\xc6\x00') == False assert test_validate_code(b'\xc7\x00') == False assert test_validate_code(b'\xc8\x00') == False assert test_validate_code(b'\xc9\x00') == False assert test_validate_code(b'\xca\x00') == False assert test_validate_code(b'\xcb\x00') == False assert test_validate_code(b'\xcc\x00') == False assert test_validate_code(b'\xcd\x00') == False assert test_validate_code(b'\xce\x00') == False assert test_validate_code(b'\xcf\x00') == False assert test_validate_code(b'\xd0\x00') == False assert test_validate_code(b'\xd1\x00') == False assert test_validate_code(b'\xd2\x00') == False assert test_validate_code(b'\xd3\x00') == False assert test_validate_code(b'\xd4\x00') == False assert test_validate_code(b'\xd5\x00') == False assert test_validate_code(b'\xd6\x00') == False assert test_validate_code(b'\xd7\x00') == False assert test_validate_code(b'\xd8\x00') == False assert test_validate_code(b'\xd9\x00') == False assert test_validate_code(b'\xda\x00') == False assert test_validate_code(b'\xdb\x00') == False assert test_validate_code(b'\xdc\x00') == False assert test_validate_code(b'\xdd\x00') == False assert test_validate_code(b'\xde\x00') == False assert test_validate_code(b'\xdf\x00') == False assert test_validate_code(b'\xe0\x00') == False assert test_validate_code(b'\xe1\x00') == False assert test_validate_code(b'\xe2\x00') == False assert test_validate_code(b'\xe3\x00') == False assert test_validate_code(b'\xe4\x00') == False assert test_validate_code(b'\xe5\x00') == False assert test_validate_code(b'\xe6\x00') == False assert test_validate_code(b'\xe7\x00') == False assert test_validate_code(b'\xe8\x00') == False assert test_validate_code(b'\xe9\x00') == False assert test_validate_code(b'\xea\x00') == False assert test_validate_code(b'\xeb\x00') == False assert test_validate_code(b'\xec\x00') == False assert test_validate_code(b'\xed\x00') == False assert test_validate_code(b'\xee\x00') == False assert test_validate_code(b'\xef\x00') == False assert test_validate_code(b'\xf6\x00') == False assert test_validate_code(b'\xf7\x00') == False assert test_validate_code(b'\xf8\x00') == False assert test_validate_code(b'\xf9\x00') == False assert test_validate_code(b'\xfb\x00') == False assert test_validate_code(b'\xfc\x00') == False # PUSHes with truncated immediates assert test_validate_code(b'\x60\x00') == False assert test_validate_code(b'\x61' + b'\x00' * 1 + b'\x00') == False assert test_validate_code(b'\x62' + b'\x00' * 2 + b'\x00') == False assert test_validate_code(b'\x63' + b'\x00' * 3 + b'\x00') == False assert test_validate_code(b'\x64' + b'\x00' * 4 + b'\x00') == False assert test_validate_code(b'\x65' + b'\x00' * 5 + b'\x00') == False assert test_validate_code(b'\x66' + b'\x00' * 6 + b'\x00') == False assert test_validate_code(b'\x67' + b'\x00' * 7 + b'\x00') == False assert test_validate_code(b'\x68' + b'\x00' * 8 + b'\x00') == False assert test_validate_code(b'\x69' + b'\x00' * 9 + b'\x00') == False assert test_validate_code(b'\x6a' + b'\x00' * 10 + b'\x00') == False assert test_validate_code(b'\x6b' + b'\x00' * 11 + b'\x00') == False assert test_validate_code(b'\x6c' + b'\x00' * 12 + b'\x00') == False assert test_validate_code(b'\x6d' + b'\x00' * 13 + b'\x00') == False assert test_validate_code(b'\x6e' + b'\x00' * 14 + b'\x00') == False assert test_validate_code(b'\x6f' + b'\x00' * 15 + b'\x00') == False assert test_validate_code(b'\x70' + b'\x00' * 16 + b'\x00') == False assert test_validate_code(b'\x71' + b'\x00' * 17 + b'\x00') == False assert test_validate_code(b'\x72' + b'\x00' * 18 + b'\x00') == False assert test_validate_code(b'\x73' + b'\x00' * 19 + b'\x00') == False assert test_validate_code(b'\x74' + b'\x00' * 20 + b'\x00') == False assert test_validate_code(b'\x75' + b'\x00' * 21 + b'\x00') == False assert test_validate_code(b'\x76' + b'\x00' * 22 + b'\x00') == False assert test_validate_code(b'\x77' + b'\x00' * 23 + b'\x00') == False assert test_validate_code(b'\x78' + b'\x00' * 24 + b'\x00') == False assert test_validate_code(b'\x79' + b'\x00' * 25 + b'\x00') == False assert test_validate_code(b'\x7a' + b'\x00' * 26 + b'\x00') == False assert test_validate_code(b'\x7b' + b'\x00' * 27 + b'\x00') == False assert test_validate_code(b'\x7c' + b'\x00' * 28 + b'\x00') == False assert test_validate_code(b'\x7d' + b'\x00' * 29 + b'\x00') == False assert test_validate_code(b'\x7e' + b'\x00' * 30 + b'\x00') == False assert test_validate_code(b'\x7f' + b'\x00' * 31 + b'\x00') == False

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2e44796c72307a9344762bf57ea05588bb5300c1

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py

Python

model.py

alexcdot/gen-MA-BC

ef0cb71f461ed7241fd2961c3605a91caa13d07b

[ "MIT" ]

null

model.py

alexcdot/gen-MA-BC

ef0cb71f461ed7241fd2961c3605a91caa13d07b

[ "MIT" ]

null

model.py

alexcdot/gen-MA-BC

ef0cb71f461ed7241fd2961c3605a91caa13d07b

[ "MIT" ]

null

import numpy as np import math import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable from model_utils import * def process_input_data(input_type, data, macro, params): if input_type == 'y': return data elif input_type == 'xy': # Get the trained offense and defense for x n_agents = params['n_agents'] n_trained_off = max(params['n_trained_off'], n_agents) n_gt_off = params['n_gt_off'] n_trained_def = params['n_trained_def'] n_offense = n_trained_off + n_gt_off trained_indices = [i for i in range(2 * n_trained_off)] + \ [i for i in range(2 * n_offense, 2 * (n_offense + n_trained_def))] n_trained_players = n_trained_off + n_trained_def x = data[1:,:, trained_indices].clone() x = x.view(x.size(0), x.size(1), n_trained_players, -1).transpose(1,2) y = data return x, y elif input_type == 'xym': # Get the trained offense and defense for x n_agents = params['n_agents'] n_trained_off = max(params['n_trained_off'], n_agents) n_gt_off = params['n_gt_off'] n_trained_def = params['n_trained_def'] n_offense = n_trained_off + n_gt_off trained_indices = [i for i in range(2 * n_trained_off)] + \ [i for i in range(2 * n_offense, 2 * (n_offense + n_trained_def))] n_trained_players = n_trained_off + n_trained_def x = data[1:,:, trained_indices].clone() x = x.view(x.size(0), x.size(1), n_trained_players, -1).transpose(1,2) y = data macro_ohe = torch.zeros(data.size(0), n_trained_players, data.size(1), 90) for i in range(n_trained_players): macro_ohe[:,i,:,:] = one_hot_encode(macro[:,:,i].data, 90) macro_ohe = Variable(macro_ohe).cuda() if macro.is_cuda else Variable(macro_ohe) return x, y, macro_ohe else: return data, macro def num_trainable_params(model): total = 0 for p in model.parameters(): count = 1 for s in p.size(): count *= s total += count return total def cudafy_list(states): for i in range(len(states)): states[i] = states[i].cuda() return states # 104 class MACRO_VRNN(nn.Module): def __init__(self, params): super(MACRO_VRNN, self).__init__() self.input_type = 'xym' self.params = params x_dim = params['x_dim'] y_dim = params['y_dim'] z_dim = params['z_dim'] h_dim = params['h_dim'] m_dim = params['m_dim'] rnn_micro_dim = params['rnn_micro_dim'] rnn_macro_dim = params['rnn_macro_dim'] n_layers = params['n_layers'] n_agents = params['n_agents'] n_trained_off = max(params['n_trained_off'], n_agents) n_trained_def = params['n_trained_def'] n_trained_players = n_trained_def + n_trained_off # takes the y, rnn_macro, and outputs m self.dec_macro = nn.ModuleList([nn.Sequential( nn.Linear(y_dim+rnn_macro_dim, h_dim), nn.ReLU(), nn.Linear(h_dim, m_dim), nn.LogSoftmax()) for i in range(n_trained_players)]) # takes the x, m, rnn_micro, and outputs h self.enc = nn.ModuleList([nn.Sequential( nn.Linear(x_dim+m_dim+rnn_micro_dim, h_dim), nn.ReLU(), nn.Linear(h_dim, h_dim), nn.ReLU()) for i in range(n_trained_players)]) # Takes h, outputs z self.enc_mean = nn.ModuleList([nn.Linear(h_dim, z_dim) for i in range(n_trained_players)]) # Takes h, outputs z self.enc_std = nn.ModuleList([nn.Sequential( nn.Linear(h_dim, z_dim), nn.Softplus()) for i in range(n_trained_players)]) # Takes m_dim, and rnn_micro (no x_dim), outputs h # Otherwise, dims are same as enc self.prior = nn.ModuleList([nn.Sequential( nn.Linear(m_dim+rnn_micro_dim, h_dim), nn.ReLU(), nn.Linear(h_dim, h_dim), nn.ReLU()) for i in range(n_trained_players)]) self.prior_mean = nn.ModuleList([nn.Linear(h_dim, z_dim) for i in range(n_trained_players)]) self.prior_std = nn.ModuleList([nn.Sequential( nn.Linear(h_dim, z_dim), nn.Softplus()) for i in range(n_trained_players)]) # takes y, m, z, rnn_micro, outputs h_dim self.dec = nn.ModuleList([nn.Sequential( nn.Linear(y_dim+m_dim+z_dim+rnn_micro_dim, h_dim), nn.ReLU(), nn.Linear(h_dim, h_dim), nn.ReLU()) for i in range(n_trained_players)]) # takes h, outputs x self.dec_mean = nn.ModuleList([nn.Linear(h_dim, x_dim) for i in range(n_trained_players)]) self.dec_std = nn.ModuleList([nn.Sequential( nn.Linear(h_dim, x_dim), nn.Softplus()) for i in range(n_trained_players)]) # takes x and z, outputs rnn_micro self.gru_micro = nn.ModuleList([nn.GRU(x_dim+z_dim, rnn_micro_dim, n_layers) for i in range(n_trained_players)]) # takes m * n, outputs rnn_macro self.gru_macro = nn.GRU(m_dim*n_trained_players, rnn_macro_dim, n_layers) def forward(self, data, macro=None, hp=None): x, y, m = process_input_data(self.input_type, data, macro, self.params) out = {} out['recon_loss'] = 0 if not hp['pretrain']: out['kl_loss'] = 0 n_agents = self.params['n_agents'] n_trained_off = max(self.params['n_trained_off'], n_agents) n_trained_def = self.params['n_trained_def'] n_trained_players = n_trained_def + n_trained_off h_micro = [Variable(torch.zeros(self.params['n_layers'], y.size(1), self.params['rnn_micro_dim'])) for i in range(n_trained_players)] h_macro = Variable(torch.zeros(self.params['n_layers'], y.size(1), self.params['rnn_macro_dim'])) if self.params['cuda']: h_macro = h_macro.cuda() h_micro = cudafy_list(h_micro) for t in range(y.size(0)-1): x_t = x[t].clone() y_t = y[t].clone() m_t = m[t].clone() if hp['pretrain']: for i in range(n_trained_players): dec_macro_t = self.dec_macro[i](torch.cat([y_t, h_macro[-1]], 1)) out['recon_loss'] -= torch.sum(m_t[i]*dec_macro_t) m_t_concat = m_t.transpose(0,1).contiguous().view(y.size(1), -1).clone() _, h_macro = self.gru_macro(torch.cat([m_t_concat], 1).unsqueeze(0), h_macro) else: for i in range(n_trained_players): enc_t = self.enc[i](torch.cat([x_t[i], m_t[i], h_micro[i][-1]], 1)) enc_mean_t = self.enc_mean[i](enc_t) enc_std_t = self.enc_std[i](enc_t) prior_t = self.prior[i](torch.cat([m_t[i], h_micro[i][-1]], 1)) prior_mean_t = self.prior_mean[i](prior_t) prior_std_t = self.prior_std[i](prior_t) z_t = sample_gauss(enc_mean_t, enc_std_t) dec_t = self.dec[i](torch.cat([y_t, m_t[i], z_t, h_micro[i][-1]], 1)) dec_mean_t = self.dec_mean[i](dec_t) dec_std_t = self.dec_std[i](dec_t) _, h_micro[i] = self.gru_micro[i](torch.cat([x_t[i], z_t], 1).unsqueeze(0), h_micro[i]) out['kl_loss'] += kld_gauss(enc_mean_t, enc_std_t, prior_mean_t, prior_std_t) out['recon_loss'] += nll_gauss(dec_mean_t, dec_std_t, x_t[i]) return out def sample(self, data, macro, seq_len=0, burn_in=0, fix_m=[], seqs_per_sample=1): x, y, m = process_input_data(self.input_type, data, macro, self.params) n_agents = self.params['n_agents'] n_trained_off = max(self.params['n_trained_off'], n_agents) n_trained_def = self.params['n_trained_def'] n_trained_players = n_trained_def + n_trained_off if seq_len == 0: seq_len = y.size(0)-1 if len(fix_m) == 0: fix_m = [-1]*n_trained_players h_micro = [Variable(torch.zeros(self.params['n_layers'], y.size(1), self.params['rnn_micro_dim'])) for i in range(n_trained_players)] h_macro = Variable(torch.zeros(self.params['n_layers'], y.size(1), self.params['rnn_macro_dim'])) macro_goals = Variable(torch.zeros(seq_len+1, y.size(1), n_trained_players)) if self.params['cuda']: h_macro, macro_goals = h_macro.cuda(), macro_goals.cuda() h_micro = cudafy_list(h_micro) all_rets = [] all_macro_goals = [] for _ in range(seqs_per_sample): ret = y.clone() for t in range(seq_len): y_t = ret[t].clone() m_t = m[t].clone() # Since i is looping over the first n agents, when train_def is # turned on, and n_agents = 5, # the defense is not affected by the sampling procedure. for i in range(n_trained_players): dec_macro_t = self.dec_macro[i](torch.cat([y_t, h_macro[-1]], 1)) m_t[i] = sample_multinomial(torch.exp(dec_macro_t)) macro_goals[t] = torch.max(m_t, 2)[1].transpose(0,1) m_t_concat = m_t.transpose(0,1).contiguous().view(y.size(1), -1) _, h_macro = self.gru_macro(torch.cat([m_t_concat], 1).unsqueeze(0), h_macro) for i in range(n_trained_players): prior_t = self.prior[i](torch.cat([m_t[i], h_micro[i][-1]], 1)) prior_mean_t = self.prior_mean[i](prior_t) prior_std_t = self.prior_std[i](prior_t) z_t = sample_gauss(prior_mean_t, prior_std_t) dec_t = self.dec[i](torch.cat([y_t, m_t[i], z_t, h_micro[i][-1]], 1)) dec_mean_t = self.dec_mean[i](dec_t) dec_std_t = self.dec_std[i](dec_t) # ret[t+1,:,2*i:2*i+2] = y[t+1,:,2*i:2*i+2] if t < burn_in or i > 0 else sample_gauss(dec_mean_t, dec_std_t) ret[t+1,:,2*i:2*i+2] = y[t+1,:,2*i:2*i+2] if t < burn_in else sample_gauss(dec_mean_t, dec_std_t) _, h_micro[i] = self.gru_micro[i](torch.cat([ret[t+1,:,2*i:2*i+2], z_t], 1).unsqueeze(0), h_micro[i]) print(macro_goals.shape, macro_goals.data.cpu().numpy().shape) macro_goals.data[-1] = macro_goals.data[-2] all_rets.append(ret.data.cpu().numpy()) all_macro_goals.append(macro_goals.data.cpu().numpy()) print(np.array(all_rets).shape, np.array(all_macro_goals).shape) return np.array(all_rets), np.array(all_macro_goals) # 103 class VRNN_INDEP(nn.Module): def __init__(self, params): super(VRNN_INDEP, self).__init__() self.input_type = 'y' self.params = params x_dim = params['x_dim'] y_dim = params['y_dim'] z_dim = params['z_dim'] h_dim = params['h_dim'] rnn_dim = params['rnn_dim'] n_layers = params['n_layers'] n_agents = params['n_agents'] self.enc = nn.ModuleList([nn.Sequential( nn.Linear(x_dim+y_dim+rnn_dim, h_dim), nn.ReLU(), nn.Linear(h_dim, h_dim), nn.ReLU()) for i in range(n_agents)]) self.enc_mean = nn.ModuleList([nn.Linear(h_dim, z_dim) for i in range(n_agents)]) self.enc_std = nn.ModuleList([nn.Sequential( nn.Linear(h_dim, z_dim), nn.Softplus()) for i in range(n_agents)]) self.prior = nn.ModuleList([nn.Sequential( nn.Linear(y_dim+rnn_dim, h_dim), nn.ReLU(), nn.Linear(h_dim, h_dim), nn.ReLU()) for i in range(n_agents)]) self.prior_mean = nn.ModuleList([nn.Linear(h_dim, z_dim) for i in range(n_agents)]) self.prior_std = nn.ModuleList([nn.Sequential( nn.Linear(h_dim, z_dim), nn.Softplus()) for i in range(n_agents)]) self.dec = nn.ModuleList([nn.Sequential( nn.Linear(y_dim+z_dim+rnn_dim, h_dim), nn.ReLU(), nn.Linear(h_dim, h_dim), nn.ReLU()) for i in range(n_agents)]) self.dec_mean = nn.ModuleList([nn.Linear(h_dim, x_dim) for i in range(n_agents)]) self.dec_std = nn.ModuleList([nn.Sequential( nn.Linear(h_dim, x_dim), nn.Softplus()) for i in range(n_agents)]) self.rnn = nn.ModuleList([nn.GRU(x_dim+z_dim, rnn_dim, n_layers) for i in range(n_agents)]) def forward(self, data, macro=None, hp=None): y = process_input_data(self.input_type, data, macro, self.params) out = {} out['kl_loss'] = 0 out['recon_loss'] = 0 n_agents = int(self.params['y_dim']/self.params['x_dim']) h = [Variable(torch.zeros(self.params['n_layers'], y.size(1), self.params['rnn_dim'])) for i in range(n_agents)] if self.params['cuda']: h = cudafy_list(h) for t in range(y.size(0)-1): y_t = y[t].clone() for i in range(n_agents): x_t = y[t+1][:,2*i:2*i+2].clone() enc_t = self.enc[i](torch.cat([x_t, y_t, h[i][-1]], 1)) enc_mean_t = self.enc_mean[i](enc_t) enc_std_t = self.enc_std[i](enc_t) prior_t = self.prior[i](torch.cat([y_t, h[i][-1]], 1)) prior_mean_t = self.prior_mean[i](prior_t) prior_std_t = self.prior_std[i](prior_t) z_t = sample_gauss(enc_mean_t, enc_std_t) dec_t = self.dec[i](torch.cat([y_t, z_t, h[i][-1]], 1)) dec_mean_t = self.dec_mean[i](dec_t) dec_std_t = self.dec_std[i](dec_t) _, h[i] = self.rnn[i](torch.cat([x_t, z_t], 1).unsqueeze(0), h[i]) out['kl_loss'] += kld_gauss(enc_mean_t, enc_std_t, prior_mean_t, prior_std_t) out['recon_loss'] += nll_gauss(dec_mean_t, dec_std_t, x_t) return out def sample(self, data, macro, seq_len=0, burn_in=0): y = process_input_data(self.input_type, data, macro, self.params) if seq_len == 0: seq_len = y.size(0)-1 n_agents = int(self.params['y_dim']/self.params['x_dim']) h = [Variable(torch.zeros(self.params['n_layers'], y.size(1), self.params['rnn_dim'])) for i in range(n_agents)] if self.params['cuda']: h = cudafy_list(h) ret = y.clone() for t in range(seq_len): y_t = ret[t].clone() for i in range(n_agents): prior_t = self.prior[i](torch.cat([y_t, h[i][-1]], 1)) prior_mean_t = self.prior_mean[i](prior_t) prior_std_t = self.prior_std[i](prior_t) z_t = sample_gauss(prior_mean_t, prior_std_t) dec_t = self.dec[i](torch.cat([y_t, z_t, h[i][-1]], 1)) dec_mean_t = self.dec_mean[i](dec_t) dec_std_t = self.dec_std[i](dec_t) if t >= burn_in: ret[t+1,:,2*i:2*i+2] = sample_gauss(dec_mean_t, dec_std_t) _, h[i] = self.rnn[i](torch.cat([ret[t+1,:,2*i:2*i+2], z_t], 1).unsqueeze(0), h[i]) return ret # 102 class VRNN_SINGLE(nn.Module): def __init__(self, params): super(VRNN_SINGLE, self).__init__() self.input_type = 'y' self.params = params y_dim = params['y_dim'] z_dim = params['z_dim'] h_dim = params['h_dim'] rnn_dim = params['rnn_dim'] n_layers = params['n_layers'] self.enc = nn.Sequential( nn.Linear(y_dim+y_dim+rnn_dim, h_dim), nn.ReLU(), nn.Linear(h_dim, h_dim), nn.ReLU()) self.enc_mean = nn.Linear(h_dim, z_dim) self.enc_std = nn.Sequential( nn.Linear(h_dim, z_dim), nn.Softplus()) self.prior = nn.Sequential( nn.Linear(y_dim+rnn_dim, h_dim), nn.ReLU(), nn.Linear(h_dim, h_dim), nn.ReLU()) self.prior_mean = nn.Linear(h_dim, z_dim) self.prior_std = nn.Sequential( nn.Linear(h_dim, z_dim), nn.Softplus()) self.dec = nn.Sequential( nn.Linear(y_dim+z_dim+rnn_dim, h_dim), nn.ReLU(), nn.Linear(h_dim, h_dim), nn.ReLU()) self.dec_mean = nn.Linear(h_dim, y_dim) self.dec_std = nn.Sequential( nn.Linear(h_dim, y_dim), nn.Softplus()) self.rnn = nn.GRU(y_dim+z_dim, rnn_dim, n_layers) def forward(self, data, macro=None, hp=None): y = process_input_data(self.input_type, data, macro, self.params) out = {} out['kl_loss'] = 0 out['recon_loss'] = 0 h = Variable(torch.zeros(self.params['n_layers'], y.size(1), self.params['rnn_dim'])) if self.params['cuda']: h = h.cuda() for t in range(y.size(0)-1): y_t = y[t].clone() x_t = y[t+1].clone() enc_t = self.enc(torch.cat([x_t, y_t, h[-1]], 1)) enc_mean_t = self.enc_mean(enc_t) enc_std_t = self.enc_std(enc_t) prior_t = self.prior(torch.cat([y_t, h[-1]], 1)) prior_mean_t = self.prior_mean(prior_t) prior_std_t = self.prior_std(prior_t) z_t = sample_gauss(enc_mean_t, enc_std_t) dec_t = self.dec(torch.cat([y_t, z_t, h[-1]], 1)) dec_mean_t = self.dec_mean(dec_t) dec_std_t = self.dec_std(dec_t) _, h = self.rnn(torch.cat([x_t, z_t], 1).unsqueeze(0), h) out['kl_loss'] += kld_gauss(enc_mean_t, enc_std_t, prior_mean_t, prior_std_t) out['recon_loss'] += nll_gauss(dec_mean_t, dec_std_t, x_t) return out def sample(self, data, macro, seq_len=0, burn_in=0): y = process_input_data(self.input_type, data, macro, self.params) if seq_len == 0: seq_len = y.size(0)-1 h = Variable(torch.zeros(self.params['n_layers'], y.size(1), self.params['rnn_dim'])) if self.params['cuda']: h = h.cuda() for t in range(seq_len): y_t = y[t].clone() prior_t = self.prior(torch.cat([y_t, h[-1]], 1)) prior_mean_t = self.prior_mean(prior_t) prior_std_t = self.prior_std(prior_t) z_t = sample_gauss(prior_mean_t, prior_std_t) dec_t = self.dec(torch.cat([y_t, z_t, h[-1]], 1)) dec_mean_t = self.dec_mean(dec_t) dec_std_t = self.dec_std(dec_t) if t >= burn_in: y[t+1] = sample_gauss(dec_mean_t, dec_std_t) _, h = self.rnn(torch.cat([y[t+1], z_t], 1).unsqueeze(0), h) return y # 101 class RNN_GAUSS(nn.Module): def __init__(self, params): super(RNN_GAUSS, self).__init__() self.input_type = 'y' self.params = params x_dim = params['x_dim'] y_dim = params['y_dim'] h_dim = params['h_dim'] rnn_dim = params['rnn_dim'] n_layers = params['n_layers'] self.dec = nn.Sequential( nn.Linear(rnn_dim, h_dim), nn.ReLU(), nn.Linear(h_dim, h_dim), nn.ReLU()) self.dec_mean = nn.Linear(h_dim, y_dim) self.dec_std = nn.Sequential( nn.Linear(h_dim, y_dim), nn.Softplus()) self.rnn = nn.GRU(y_dim, rnn_dim, n_layers) def forward(self, data, macro=None, hp=None): y = process_input_data(self.input_type, data, macro, self.params) out = {} out['nll'] = 0 h = Variable(torch.zeros(self.params['n_layers'], y.size(1), self.params['rnn_dim'])) if self.params['cuda']: h = h.cuda() for t in range(y.size(0)): y_t = y[t].clone() dec_t = self.dec(torch.cat([h[-1]], 1)) dec_mean_t = self.dec_mean(dec_t) dec_std_t = self.dec_std(dec_t) _, h = self.rnn(y_t.unsqueeze(0), h) out['nll'] += nll_gauss(dec_mean_t, dec_std_t, y_t) return out def sample(self, data, macro, seq_len=0, burn_in=0): y = process_input_data(self.input_type, data, macro, self.params) if seq_len == 0: seq_len = y.size(0) h = Variable(torch.zeros(self.params['n_layers'], y.size(1), self.params['rnn_dim'])) if self.params['cuda']: h = h.cuda() for t in range(seq_len): dec_t = self.dec(torch.cat([h[-1]], 1)) dec_mean_t = self.dec_mean(dec_t) dec_std_t = self.dec_std(dec_t) if t >= burn_in: y[t] = sample_gauss(dec_mean_t, dec_std_t) _, h = self.rnn(y[t].unsqueeze(0), h) return y

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py

Python

dataviva/api/hedu/services.py

joelvisroman/dataviva-site

b4219558457746fd5c6b8f4b65b04c738c656fbd

[ "MIT" ]

126

2015-03-24T12:30:43.000Z

2022-01-06T03:29:54.000Z

dataviva/api/hedu/services.py

joelvisroman/dataviva-site

b4219558457746fd5c6b8f4b65b04c738c656fbd

[ "MIT" ]

694

2015-01-14T11:55:28.000Z

2021-02-08T20:23:11.000Z

dataviva/api/hedu/services.py

joelvisroman/dataviva-site

b4219558457746fd5c6b8f4b65b04c738c656fbd

[ "MIT" ]

52

2015-06-19T01:54:56.000Z

2019-09-23T13:10:46.000Z

from dataviva.api.hedu.models import Ybu, Ybc_hedu, Yu, Yuc, Yc_hedu, Ybuc from dataviva.api.attrs.models import University as uni, Course_hedu, Bra from dataviva import db from sqlalchemy.sql.expression import func, desc, not_ class University: def __init__(self, university_id): self._hedu = None self._hedu_sorted_by_enrolled = None self._hedu_sorted_by_entrants = None self._hedu_sorted_by_graduates = None self.university_id = university_id if university_id is None: self.max_year_query = db.session.query(func.max(Yu.year)) self.hedu_query = Yu.query.filter(Yu.year == self.max_year_query) else: self.max_year_query = db.session.query( func.max(Yu.year)).filter_by(university_id=university_id) self.hedu_query = Yu.query.filter( Yu.university_id == self.university_id, Yu.year == self.max_year_query) def __hedu__(self): if not self._hedu: hedu_data = self.hedu_query.first_or_404() self._hedu = hedu_data return self._hedu def __hedu_list__(self): if not self._hedu: hedu_data = self.hedu_query.all() self._hedu = hedu_data return self._hedu def __hedu_sorted_by_enrolled__(self): if not self._hedu_sorted_by_enrolled: self._hedu_sorted_by_enrolled = self.__hedu_list__() self._hedu_sorted_by_enrolled.sort( key=lambda hedu: hedu.enrolled, reverse=True) return self._hedu_sorted_by_enrolled def __hedu_sorted_by_entrants__(self): if not self._hedu_sorted_by_entrants: self._hedu_sorted_by_entrants = self.__hedu_list__() self._hedu_sorted_by_entrants.sort( key=lambda hedu: hedu.entrants, reverse=True) return self._hedu_sorted_by_entrants def __hedu_sorted_by_graduates__(self): if not self._hedu_sorted_by_graduates: self._hedu_sorted_by_graduates = self.__hedu_list__() self._hedu_sorted_by_graduates.sort( key=lambda hedu: hedu.graduates, reverse=True) return self._hedu_sorted_by_graduates def name(self): return self.__hedu__().university.name() def university_type(self): return self.__hedu__().university.school_type() def enrolled(self): return self.__hedu__().enrolled def entrants(self): return self.__hedu__().entrants def graduates(self): return self.__hedu__().graduates def profile(self): return self.__hedu__().university.desc_pt def year(self): return self.max_year_query.first()[0] def highest_enrolled_number(self): hedu = self.__hedu_sorted_by_enrolled__()[0] return hedu.enrolled def highest_entrants_number(self): hedu = self.__hedu_sorted_by_entrants__()[0] return hedu.entrants def highest_graduates_number(self): hedu = self.__hedu_sorted_by_graduates__()[0] return hedu.graduates def highest_enrolled_by_university(self): hedu_list = self.__hedu_sorted_by_enrolled__() if len(hedu_list) != 0: hedu = hedu_list[0] return hedu.enrolled else: return None def highest_enrolled_by_university_name(self): hedu_list = self.__hedu_sorted_by_enrolled__() if len(hedu_list) != 0: hedu = hedu_list[0] return hedu.university.name() else: return None class UniversityMajors(University): def __init__(self, university_id): University.__init__(self, university_id) self.max_year_query = db.session.query(func.max(Yuc.year)) self.hedu_query = Yuc.query.filter( Yuc.university_id == self.university_id, Yuc.year == self.max_year_query, func.length(Yuc.course_hedu_id) == 6) def major_with_more_enrollments(self): hedu = self.__hedu_sorted_by_enrolled__()[0] return hedu.course_hedu.name() def major_with_more_entrants(self): hedu = self.__hedu_sorted_by_entrants__()[0] return hedu.course_hedu.name() def major_with_more_graduates(self): hedu = self.__hedu_sorted_by_graduates__()[0] return hedu.course_hedu.name() class Major: def __init__(self, course_hedu_id, bra_id): self._hedu = None self._hedu_sorted_by_enrolled = None self._hedu_sorted_by_entrants = None self._hedu_sorted_by_graduates = None self._hedu_major_rank = None self.course_hedu_id = course_hedu_id self.bra_id = bra_id if course_hedu_id is None and bra_id is None: self.max_year_query = db.session.query(func.max(Yc_hedu.year)) self.hedu_query = Ybc_hedu.query.filter(Ybc_hedu.year == self.max_year_query) else: self.max_year_query = db.session.query( func.max(Yc_hedu.year)).filter_by(course_hedu_id=course_hedu_id) if bra_id != '': self.hedu_query = Ybc_hedu.query.filter( Ybc_hedu.course_hedu_id == self.course_hedu_id, Ybc_hedu.bra_id == self.bra_id, Ybc_hedu.year == self.max_year_query) else: self.hedu_query = Yc_hedu.query.filter( Yc_hedu.course_hedu_id == self.course_hedu_id, Yc_hedu.year == self.max_year_query) def __hedu__(self): if not self._hedu: hedu_data = self.hedu_query.first_or_404() self._hedu = hedu_data return self._hedu def __hedu_list__(self): if not self._hedu: hedu_data = self.hedu_query.all() self._hedu = hedu_data return self._hedu def __hedu_sorted_by_enrolled__(self): if not self._hedu_sorted_by_enrolled: self._hedu_sorted_by_enrolled = self.__hedu_list__() self._hedu_sorted_by_enrolled.sort( key=lambda hedu: hedu.enrolled, reverse=True) return self._hedu_sorted_by_enrolled def __hedu_sorted_by_entrants__(self): if not self._hedu_sorted_by_entrants: self._hedu_sorted_by_entrants = self.__hedu_list__() self._hedu_sorted_by_entrants.sort( key=lambda hedu: hedu.entrants, reverse=True) return self._hedu_sorted_by_entrants def __hedu_sorted_by_graduates__(self): if not self._hedu_sorted_by_graduates: self._hedu_sorted_by_graduates = self.__hedu_list__() self._hedu_sorted_by_graduates.sort( key=lambda hedu: hedu.graduates, reverse=True) return self._hedu_sorted_by_graduates def name(self): return self.__hedu__().course_hedu.name() def enrolled(self): return self.__hedu__().enrolled def entrants(self): return self.__hedu__().entrants def graduates(self): return self.__hedu__().graduates def profile(self): return self.__hedu__().course_hedu.desc_pt def year(self): return self.__hedu__().year def highest_enrolled_number(self): hedu = self.__hedu_sorted_by_enrolled__()[0] return hedu.enrolled def highest_entrants_number(self): hedu = self.__hedu_sorted_by_entrants__()[0] return hedu.entrants def highest_graduates_number(self): hedu = self.__hedu_sorted_by_graduates__()[0] return hedu.graduates def location_name(self): return Bra.query.filter(Bra.id == self.bra_id).first().name() def highest_enrolled_by_major(self): hedu_list = self.__hedu_sorted_by_enrolled__() if len(hedu_list) != 0: hedu = hedu_list[0] return hedu.enrolled else: return None def highest_enrolled_by_major_name(self): hedu_list = self.__hedu_sorted_by_enrolled__() if len(hedu_list) != 0: hedu = hedu_list[0] return hedu.course_hedu.name() else: return None class MajorUniversities(Major): def __init__(self, course_hedu_id, bra_id): Major.__init__(self, course_hedu_id, bra_id) self.course_hedu_id = course_hedu_id self.max_year_query = db.session.query( func.max(Yuc.year)).filter_by(course_hedu_id=course_hedu_id) if bra_id == '': self.hedu_query = Yuc.query.filter( Yuc.course_hedu_id == self.course_hedu_id, Yuc.year == self.max_year_query) else: self.hedu_query = Ybuc.query.filter( Ybuc.course_hedu_id == self.course_hedu_id, Ybuc.bra_id == self.bra_id, Ybuc.year == self.max_year_query) def university_with_more_enrolled(self): hedu = self.__hedu_sorted_by_enrolled__()[0] return hedu.university.name() def university_with_more_entrants(self): hedu = self.__hedu_sorted_by_entrants__()[0] return hedu.university.name() def university_with_more_graduates(self): hedu = self.__hedu_sorted_by_graduates__()[0] return hedu.university.name() class MajorMunicipalities(Major): def __init__(self, course_hedu_id, bra_id): Major.__init__(self, course_hedu_id, bra_id) self.course_hedu_id = course_hedu_id self.max_year_query = db.session.query( func.max(Ybc_hedu.year)).filter_by(course_hedu_id=course_hedu_id) if bra_id == '': self.hedu_query = Ybc_hedu.query.filter( Ybc_hedu.course_hedu_id == self.course_hedu_id, Ybc_hedu.year == self.max_year_query, not_(Ybc_hedu.bra_id.like('0xx%')), func.length(Ybc_hedu.bra_id) == 9) else: self.hedu_query = Ybc_hedu.query.filter( Ybc_hedu.course_hedu_id == self.course_hedu_id, Ybc_hedu.year == self.max_year_query, Ybc_hedu.bra_id.like(self.bra_id+'%'), not_(Ybc_hedu.bra_id.like('0xx%')), func.length(Ybc_hedu.bra_id) == 9) def municipality_with_more_enrolled(self): hedu = self.__hedu_sorted_by_enrolled__()[0] return hedu.bra.name() def municipality_with_more_enrolled_state(self): hedu = self.__hedu_sorted_by_enrolled__()[0] return hedu.bra.abbreviation def municipality_with_more_entrants(self): hedu = self.__hedu_sorted_by_entrants__()[0] return hedu.bra.name() def municipality_with_more_entrants_state(self): hedu = self.__hedu_sorted_by_entrants__()[0] return hedu.bra.abbreviation def municipality_with_more_graduates(self): hedu = self.__hedu_sorted_by_graduates__()[0] return hedu.bra.name() def municipality_with_more_graduates_state(self): hedu = self.__hedu_sorted_by_graduates__()[0] return hedu.bra.abbreviation class LocationUniversity: def __init__(self, bra_id): self._hedu_sorted_by_enrolled = None self._hedu = None self.bra_id = bra_id self.max_year_query = db.session.query( func.max(Ybu.year)).filter_by(bra_id=bra_id) self.hedu_query = Ybu.query.join(uni).filter( Ybu.bra_id == self.bra_id, Ybu.year == self.max_year_query) def __hedu__(self): if not self._hedu: hedu_data = self.hedu_query.one() self._hedu = hedu_data return self._hedu def __hedu_list__(self): if not self._hedu: hedu_data = self.hedu_query.all() self._hedu = hedu_data return self._hedu def __hedu_sorted_by_enrolled__(self): if not self._hedu_sorted_by_enrolled: self._hedu_sorted_by_enrolled = self.__hedu_list__() self._hedu_sorted_by_enrolled.sort( key=lambda hedu: hedu.enrolled, reverse=True) return self._hedu_sorted_by_enrolled def year(self): return self.max_year_query.first()[0] def highest_enrolled_by_university(self): hedu_list = self.__hedu_sorted_by_enrolled__() if len(hedu_list) != 0: hedu = hedu_list[0] return hedu.enrolled else: return None def highest_enrolled_by_university_name(self): hedu_list = self.__hedu_sorted_by_enrolled__() if len(hedu_list) != 0: hedu = hedu_list[0] return hedu.university.name() else: return None class LocationMajor(LocationUniversity): def __init__(self, bra_id): LocationUniversity.__init__(self, bra_id) self._hedu = None self.bra_id = bra_id self.max_year_query = db.session.query( func.max(Ybc_hedu.year)).filter_by(bra_id=bra_id) self.hedu_query = Ybc_hedu.query.join(Course_hedu).filter( Ybc_hedu.bra_id == self.bra_id, Ybc_hedu.course_hedu_id_len == 6, Ybc_hedu.year == self.max_year_query) def highest_enrolled_by_major(self): hedu_list = self.__hedu_sorted_by_enrolled__() if len(hedu_list) != 0: hedu = hedu_list[0] return hedu.enrolled else: return None def highest_enrolled_by_major_name(self): hedu_list = self.__hedu_sorted_by_enrolled__() if len(hedu_list) != 0: hedu = hedu_list[0] return hedu.course_hedu.name() else: return None

33.818859

88

0.640399

1,773

13,629

4.415116

0.049069

0.15023

0.104241

0.124681

0.916709

0.879407

0.853347

0.819366

0.806081

0.757409

0

0.004834

0.271407

13,629

402

89

33.902985

0.783484

0

0.774295

0

0.00066

0

1

0.191223

false

0

0.012539

0.047022

0.420063

0

null

0

1

0

1

0

null

0

7

cf006fc10424bad7603a46d59ea1e4cdfcf4fcb1

155

py

Python

newrelic/common/constants.py

holyachon/newrelic-python-agent

242c51a869b506d4235c8fedf024002251ac502c

[ "Apache-2.0" ]

null

newrelic/common/constants.py

holyachon/newrelic-python-agent

242c51a869b506d4235c8fedf024002251ac502c

[ "Apache-2.0" ]

null

newrelic/common/constants.py

holyachon/newrelic-python-agent

242c51a869b506d4235c8fedf024002251ac502c

[ "Apache-2.0" ]

null

LOCALHOST_EQUIVALENTS = frozenset(( 'localhost', '127.0.0.1', '0.0.0.0', '0:0:0:0:0:0:0:0', '0:0:0:0:0:0:0:1', '::1', '::', ))

15.5

35

0.425806

29

155

2.241379

0.206897

0.584615

0.784615

0.984615

0.292308

0

0.232759

0.251613

155

9

36

17.222222

0.327586

0

0.387097

0

1

0

false

0

1

0

null

1

0

1

0

1

0

1

0

null

0

7

cf186bd99af761fe0deb32fb9f80f9f86dc6c68e

69

py

Python

multilingual_t5/r_baseline_ta/__init__.py

sumanthd17/mt5

c99b4e3ad1c69908c852c730a1323ccb52d48f58

[ "Apache-2.0" ]

null

multilingual_t5/r_baseline_ta/__init__.py

sumanthd17/mt5

c99b4e3ad1c69908c852c730a1323ccb52d48f58

[ "Apache-2.0" ]

null

multilingual_t5/r_baseline_ta/__init__.py

sumanthd17/mt5

c99b4e3ad1c69908c852c730a1323ccb52d48f58

[ "Apache-2.0" ]

null

"""r_baseline_ta dataset.""" from .r_baseline_ta import RBaselineTa

17.25

38

0.782609

10

69

5

0.7

0.36

0.44

0

0.101449

69

3

39

23

0.806452

0.318841

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

cf43b76c9742142ab6dcd09ee5ee6ba7b415b219

1,814

py

Python

models/gradientCompression/SignSGD.py

codecaution/leaf

3239b84a17ba9489d5da529e2f1273774840d31f

[ "BSD-2-Clause" ]

1

2019-12-10T04:26:51.000Z

models/gradientCompression/SignSGD.py

codecaution/leaf

3239b84a17ba9489d5da529e2f1273774840d31f

[ "BSD-2-Clause" ]

null

models/gradientCompression/SignSGD.py

codecaution/leaf

3239b84a17ba9489d5da529e2f1273774840d31f

[ "BSD-2-Clause" ]

1

2019-12-10T11:22:31.000Z

import numpy as np # gradient_list: type list # gradient_list[0]: type numpy.ndarray class SignUpdate: def GradientCompress(self, gradient_list): compressed_gradient_list = [] element_num = 0 for gradient in gradient_list: element_num += np.size(gradient) compressed_gradient_list.append(np.sign(gradient)) return compressed_gradient_list, element_num * 32, element_num def MajorityVote(self, gradient_list): compressed_gradient_list = [] for gradient in gradient_list: compressed_gradient_list.append(np.sign(gradient)) return compressed_gradient_list class SigumUpdate: def __init__(self, belta): self.momentum = None self.belta = belta def GradientCompress(self, gradient_list): compressed_gradient_list = [] element_num = 0 if self.momentum is None: for i, gradient in enumerate(gradient_list): element_num += np.size(gradient) self.momentum[i] = (1 - self.belta) * gradient compressed_gradient_list.append(np.sign(self.momentum[i])) else: for i, gradient in enumerate(gradient_list): element_num += np.size(gradient) self.momentum[i] = self.belta * self.momentum + (1 - self.belta) * gradient compressed_gradient_list.append(np.sign(self.momentum[i])) return compressed_gradient_list, element_num * 32, element_num def MajorityVote(self, gradient_list): compressed_gradient_list = [] for gradient in gradient_list: compressed_gradient_list.append(np.sign(gradient)) return compressed_gradient_list SignSGDUpdate = SignUpdate() SigumSGDUpdate = SigumUpdate(0.9)

32.981818

91

0.65215

205

1,814

5.526829

0.190244

0.254192

0.252427

0.135922

0.791703

0.780229

0.748455

0

0.008271

0.266814

1,814

54

92

33.592593

0.843609

0.03473

0

0.692308

0

1

0.128205

false

0

0.025641

0

0.307692

0

null

1

0

1

0

null

0

7

d88eed95ecec58a383f4a495e99910170cd2e819

9,658

py

Python

Protheus_WebApp/Modules/SIGACTB/CTBA211TESTCASE.py

98llm/tir-script-samples

0bff8393b79356aa562e9e6512c11ee6e039b177

[ "MIT" ]

17

2018-09-24T17:27:08.000Z

2021-09-16T19:09:46.000Z

Protheus_WebApp/Modules/SIGACTB/CTBA211TESTCASE.py

98llm/tir-script-samples

0bff8393b79356aa562e9e6512c11ee6e039b177

[ "MIT" ]

4

2018-09-24T17:30:32.000Z

2022-01-03T11:39:30.000Z

Protheus_WebApp/Modules/SIGACTB/CTBA211TESTCASE.py

98llm/tir-script-samples

0bff8393b79356aa562e9e6512c11ee6e039b177

[ "MIT" ]

18

2019-06-07T17:41:34.000Z

2022-01-31T18:17:31.000Z

from tir import Webapp import unittest class CTBA211(unittest.TestCase): @classmethod def setUpClass(inst): inst.oHelper = Webapp() inst.oHelper.Setup("SIGACTB", "30/06/2015", "T1", "M PR 02 ", "34") inst.oHelper.Program("CTBA211") ########################################################################################### # Caso de teste 001 - Incluir Rateio # # 29/08/2019 # ########################################################################################### def test_CTBA211_001(self): self.oHelper.ClickTree("Apuracao de Lucros / Perdas > Perguntas") #Perguntes self.oHelper.SetValue("mv_par01", "01062015") self.oHelper.SetValue("mv_par02", "30062015") self.oHelper.SetValue("mv_par03", "APUR15") self.oHelper.SetValue("mv_par04", "001") self.oHelper.SetValue("mv_par05", "000001") self.oHelper.SetValue("mv_par06", "001") self.oHelper.SetValue("mv_par07", "CTB211ELC") self.oHelper.SetValue("mv_par08", "CTB211ELD") self.oHelper.SetValue("Moedas ?", "Todas") #Todas / Específica self.oHelper.SetValue("mv_par10", "01") self.oHelper.SetValue("Considera Ent.Ponte ?", "Sim") self.oHelper.SetValue("mv_par12", "1") self.oHelper.SetValue("Considera Entidades ?", "Rotina de Apur.") self.oHelper.SetValue("mv_par14", "CTB211CP") self.oHelper.SetValue("mv_par15", "CTB211CA") self.oHelper.SetValue("mv_par16", "") self.oHelper.SetValue("mv_par17", "") self.oHelper.SetValue("mv_par18", "") self.oHelper.SetValue("mv_par19", "") self.oHelper.SetValue("mv_par20", "") self.oHelper.SetValue("mv_par21", "") self.oHelper.SetValue("mv_par22", "") self.oHelper.SetValue("mv_par23", "ZZZZZZZZZ") self.oHelper.SetValue("mv_par24", "") self.oHelper.SetValue("mv_par25", "ZZZZZZZZZ") self.oHelper.SetValue("mv_par26", "") self.oHelper.SetValue("mv_par27", "ZZZZZZZZZ") self.oHelper.SetValue("Reproces. Saldos ?", "Sim")# self.oHelper.SetValue("Seleciona Filiais ?", "Sim")# self.oHelper.SetValue("mv_par30", "M PR 02") self.oHelper.SetValue("mv_par31", "M PR 02") self.oHelper.ClickIcon("Iniciar Execução") self.oHelper.SetButton("Sim") self.oHelper.SetButton("Sim") self.oHelper.SetButton("Sim") self.oHelper.Program("CTBA211") self.oHelper.AssertTrue() def test_CTBA211_002(self): self.oHelper.ClickTree("Apuracao de Lucros / Perdas > Perguntas") #Perguntes self.oHelper.SetValue("mv_par01", "01052014") self.oHelper.SetValue("mv_par02", "31052014") self.oHelper.SetValue("mv_par03", "") self.oHelper.SetValue("mv_par04", "") self.oHelper.SetValue("mv_par05", "") self.oHelper.SetValue("mv_par06", "006") self.oHelper.SetValue("mv_par07", "") self.oHelper.SetValue("mv_par08", "") self.oHelper.SetValue("Moedas ?", "Todas") #Todas / Específica self.oHelper.SetValue("mv_par10", "") self.oHelper.SetValue("Considera Ent.Ponte ?", "Sim") self.oHelper.SetValue("mv_par12", "") self.oHelper.SetValue("Considera Entidades ?", "Rotina de Apur.") self.oHelper.SetValue("mv_par14", "") self.oHelper.SetValue("mv_par15", "") self.oHelper.SetValue("mv_par16", "") self.oHelper.SetValue("mv_par17", "") self.oHelper.SetValue("mv_par18", "") self.oHelper.SetValue("mv_par19", "") self.oHelper.SetValue("mv_par20", "") self.oHelper.SetValue("mv_par21", "") self.oHelper.SetValue("mv_par22", "") self.oHelper.SetValue("mv_par23", "ZZZZZZZZZ") self.oHelper.SetValue("mv_par24", "") self.oHelper.SetValue("mv_par25", "ZZZZZZZZZ") self.oHelper.SetValue("mv_par26", "") self.oHelper.SetValue("mv_par27", "ZZZZZZZZZ") self.oHelper.SetValue("Reproces. Saldos ?", "Sim")# self.oHelper.SetValue("Seleciona Filiais ?", "Sim")# self.oHelper.SetValue("mv_par30", "M PR 02") self.oHelper.SetValue("mv_par31", "M PR 02") self.oHelper.ClickIcon("Iniciar Execução") self.oHelper.CheckHelp(text_help="CT210NOHP", button="Fechar") self.oHelper.CheckHelp(text_help="NOCT210LOT", button="Fechar") self.oHelper.CheckHelp(text_help="NOCTSUBLOT", button="Fechar") self.oHelper.CheckHelp(text_help="NOCT210DOC", button="Fechar") self.oHelper.CheckHelp(text_help="NOCT210CT", button="Fechar") self.oHelper.CheckHelp(text_help="NO210TPSLD", button="Fechar") self.oHelper.SetButton("Fechar") self.oHelper.Program("CTBA211") self.oHelper.AssertTrue() def test_CTBA211_003(self): self.oHelper.ClickTree("Apuracao de Lucros / Perdas > Perguntas") #Perguntes self.oHelper.SetValue("mv_par01", "") self.oHelper.SetValue("mv_par02", "31052014") self.oHelper.SetValue("mv_par03", "") self.oHelper.SetValue("mv_par04", "") self.oHelper.SetValue("mv_par05", "") self.oHelper.SetValue("mv_par06", "") self.oHelper.SetValue("mv_par07", "") self.oHelper.SetValue("mv_par08", "") self.oHelper.SetValue("Moedas ?", "Específica") #Todas / Específica self.oHelper.SetValue("mv_par10", "01") self.oHelper.SetValue("Considera Ent.Ponte ?", "Não") self.oHelper.SetValue("mv_par12", "") self.oHelper.SetValue("Considera Entidades ?", "Rotina de Apur.") #Cadastros self.oHelper.SetValue("mv_par14", "") self.oHelper.SetValue("mv_par15", "") self.oHelper.SetValue("mv_par16", "") self.oHelper.SetValue("mv_par17", "") self.oHelper.SetValue("mv_par18", "") self.oHelper.SetValue("mv_par19", "") self.oHelper.SetValue("mv_par20", "") self.oHelper.SetValue("mv_par21", "") self.oHelper.SetValue("mv_par22", "") self.oHelper.SetValue("mv_par23", "ZZZZZZZZZ") self.oHelper.SetValue("mv_par24", "") self.oHelper.SetValue("mv_par25", "ZZZZZZZZZ") self.oHelper.SetValue("mv_par26", "") self.oHelper.SetValue("mv_par27", "ZZZZZZZZZ") self.oHelper.SetValue("Reproces. Saldos ?", "Sim")# self.oHelper.SetValue("Seleciona Filiais ?", "Sim")# self.oHelper.SetValue("mv_par30", "M PR 02") self.oHelper.SetValue("mv_par31", "M PR 02") self.oHelper.ClickIcon("Iniciar Execução") self.oHelper.CheckHelp(text_help="CTHPVAZIO", button="Fechar") self.oHelper.CheckHelp(text_help="NOCT210LOT", button="Fechar") self.oHelper.CheckHelp(text_help="NOCTSUBLOT", button="Fechar") self.oHelper.CheckHelp(text_help="NOCT210DOC", button="Fechar") self.oHelper.CheckHelp(text_help="NOCT210CT", button="Fechar") self.oHelper.CheckHelp(text_help="NO210TPSLD", button="Fechar") self.oHelper.SetButton("Fechar") self.oHelper.Program("CTBA211") self.oHelper.AssertTrue() def test_CTBA211_004(self): self.oHelper.ClickTree("Apuracao de Lucros / Perdas > Perguntas") #Perguntes self.oHelper.SetValue("mv_par01", "01052014") self.oHelper.SetValue("mv_par02", "31052014") self.oHelper.SetValue("mv_par03", "") self.oHelper.SetValue("mv_par04", "") self.oHelper.SetValue("mv_par05", "") self.oHelper.SetValue("mv_par06", "") self.oHelper.SetValue("mv_par07", "") self.oHelper.SetValue("mv_par08", "") self.oHelper.SetValue("Moedas ?", "Específica") #Todas / Específica self.oHelper.SetValue("mv_par10", "") self.oHelper.SetValue("Considera Ent.Ponte ?", "Não") self.oHelper.SetValue("mv_par12", "") self.oHelper.SetValue("Considera Entidades ?", "Rotina de Apur.") #Cadastros self.oHelper.SetValue("mv_par14", "") self.oHelper.SetValue("mv_par15", "") self.oHelper.SetValue("mv_par16", "") self.oHelper.SetValue("mv_par17", "") self.oHelper.SetValue("mv_par18", "") self.oHelper.SetValue("mv_par19", "") self.oHelper.SetValue("mv_par20", "") self.oHelper.SetValue("mv_par21", "") self.oHelper.SetValue("mv_par22", "") self.oHelper.SetValue("mv_par23", "ZZZZZZZZZ") self.oHelper.SetValue("mv_par24", "") self.oHelper.SetValue("mv_par25", "ZZZZZZZZZ") self.oHelper.SetValue("mv_par26", "") self.oHelper.SetValue("mv_par27", "ZZZZZZZZZ") self.oHelper.SetValue("Reproces. Saldos ?", "Sim")# self.oHelper.SetValue("Seleciona Filiais ?", "Sim")# self.oHelper.SetValue("mv_par30", "M PR 02") self.oHelper.SetValue("mv_par31", "M PR 02") self.oHelper.ClickIcon("Iniciar Execução") self.oHelper.AssertTrue() self.oHelper.WaitShow("NOMOEDA") # self.oHelper.SetButton("Fechar") self.oHelper.CheckHelp(text_help="NOMOEDA",button="Fechar") # self.oHelper.CheckHelp(text_problem="Moeda não preenchida e/ou não existente.",button="Fechar") self.oHelper.WaitShow("TOTVS") self.oHelper.AssertTrue() @classmethod def tearDownClass(inst): inst.oHelper.TearDown() if __name__ == '__main__': unittest.main()

41.273504

105

0.600124

1,020

9,658

5.55098

0.130392

0.31473

0.416107

0.385729

0.906747

0.868951

0.853055

0

0.053716

0.221267

9,658

233

106

41.450644

0.699109

0.04504

0

0.813559

0

0.233474

0

0.028249

1

0.033898

false

0

0.011299

0

0.050847

0

null

1

0

1

0

null

0

10

2b204a0bbe87d56c395337e8f01e8a0e22373556

5,300

py

Python

graphpy/vertex.py

tscizzle/pygraph

b6fe9e21bd30ae4249d02a1818b49351575fa98e

[ "MIT" ]

1

2017-04-09T21:58:28.000Z

graphpy/vertex.py

tscizzle/graphpy

b6fe9e21bd30ae4249d02a1818b49351575fa98e

[ "MIT" ]

null

graphpy/vertex.py

tscizzle/graphpy

b6fe9e21bd30ae4249d02a1818b49351575fa98e

[ "MIT" ]

null

""" Implementation of a vertex, as used in graphs """ ################################################################################ # # # Undirected # # # ################################################################################ class UndirectedVertex(object): def __init__(self, val=None, attrs=None): self._val = val or id(self) self._attrs = attrs or {} self._edges = set() self._has_self_edge = False def __repr__(self): display = (self.val, id(self)) return "Vertex(val=%s, id=%s)" % display def __str__(self): return "V(%s)" % self.val def __contains__(self, e): return e in self._edges @property def val(self): return self._val @property def attrs(self): return self._attrs @property def edges(self): return iter(self._edges) @property def has_self_edge(self): return self._has_self_edge @property def neighbors(self): """ Iterator over vertices adjacent to this vertex """ return iter(set(v for e in self._edges for v in e.vertices if v != self) | (set([self]) if self._has_self_edge else set())) @property def degree(self): """ Number of neighbors this vertex has (+1 if it has a self edge) """ return sum(1 for _ in self._edges) + (1 if self._has_self_edge else 0) def add_edge(self, e): """ Adds an edge to this vertex """ if self not in e.vertices: raise ValueError(str(self) + " is not part of " + str(e) + ".") if e in self: raise ValueError(str(self) + " already has " + str(e) + ".") self._edges.add(e) if e.is_self_edge: self._has_self_edge = True def remove_edge(self, e): """ Removes an edge from this vertex """ self._edges.discard(e) if e.is_self_edge: self._has_self_edge = False def get(self, attr): """ Get an attribute """ return self._attrs.get(attr) def set(self, attr, value): """ Set an attribute """ self._attrs[attr] = value def has_attr(self, attr): """ Check if an attribute exists """ return attr in self._attrs def del_attr(self, attr): """ Delete an attribute """ del self._attrs[attr] ################################################################################ # # # Directed # # # ################################################################################ class DirectedVertex(object): def __init__(self, val=None, attrs=None): self._val = val or id(self) self._attrs = attrs or {} self._edges = set() def __repr__(self): display = (self.val, id(self)) return "Vertex(val=%s, id=%s)" % display def __str__(self): return "V(%s)" % self.val def __contains__(self, e): return e in self._edges @property def val(self): return self._val @property def attrs(self): return self._attrs @property def edges(self): return iter(self._edges) @property def outs(self): """ Iterator over vertices into which this vertex has an edge """ return iter(set(e.v_to for e in self._edges if e.v_from == self)) @property def ins(self): """ Iterator over vertices which have an edge into this vertex """ return iter(set(e.v_from for e in self._edges if e.v_to == self)) @property def out_degree(self): """ Number of vertices into which this vertex has an edge """ return sum(1 for e in self._edges if e.v_from == self) @property def in_degree(self): """ Number of vertices which have an edge into this vertex """ return sum(1 for e in self._edges if e.v_to == self) @property def degree(self): """ Sum of out degree and in degree """ return self.out_degree + self.in_degree def add_edge(self, e): """ Adds an edge to this vertex """ if self != e.v_from and self != e.v_to: raise ValueError(str(self) + " is not part of " + str(e) + ".") if e in self: raise ValueError(str(self) + " already has " + str(e) + ".") self._edges.add(e) def remove_edge(self, e): """ Removes an edge from this vertex """ self._edges.discard(e) def get(self, attr): """ Get an attribute """ return self._attrs.get(attr) def set(self, attr, value): """ Set an attribute """ self._attrs[attr] = value def has_attr(self, attr): """ Check if an attribute exists """ return attr in self._attrs def del_attr(self, attr): """ Delete an attribute """ del self._attrs[attr]

28.804348

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0.483962

625

5,300

3.9296

0.1312

0.058632

0.025651

0.034202

0.818404

0.774023

0.746743

0.68241

0

0.001751

0.353396

5,300

183

81

28.961749

0.714911

0.203019

0

0.8

0

0.031165

0

1

0.32381

false

0

0.104762

0.571429

0

null

0

1

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1

0

null

0

1

0

1

0

10

990cf19e1eb842f6b1e5bbc49d16e5c9466a08a1

1,150

py

Python

permabots/serializers/__init__.py

eafanasev/permabots

24de0376e8c482800f4214c021c133d81b9de69f

[ "BSD-3-Clause" ]

81

2016-05-18T02:34:10.000Z

2021-08-28T17:25:13.000Z

permabots/serializers/__init__.py

eafanasev/permabots

24de0376e8c482800f4214c021c133d81b9de69f

[ "BSD-3-Clause" ]

15

2016-05-27T08:51:46.000Z

2021-03-19T21:42:21.000Z

permabots/serializers/__init__.py

eafanasev/permabots

24de0376e8c482800f4214c021c133d81b9de69f

[ "BSD-3-Clause" ]

34

2016-05-29T14:37:01.000Z

2022-03-24T17:16:53.000Z

from permabots.serializers.telegram_api import UserSerializer, ChatSerializer, MessageSerializer, UpdateSerializer, UserAPISerializer # noqa from permabots.serializers.kik_api import KikMessageSerializer # noqa from permabots.serializers.response import ResponseSerializer, ResponseUpdateSerializer # noqa from permabots.serializers.bot import BotSerializer, BotUpdateSerializer, TelegramBotSerializer, TelegramBotUpdateSerializer, KikBotSerializer, KikBotUpdateSerializer, MessengerBotSerializer, MessengerBotUpdateSerializer # noqa from permabots.serializers.state import StateSerializer, TelegramChatStateSerializer, TelegramChatStateUpdateSerializer, KikChatStateSerializer, KikChatStateUpdateSerializer, MessengerChatStateSerializer, MessengerChatStateUpdateSerializer # noqa from permabots.serializers.handler import HandlerSerializer, HandlerUpdateSerializer, AbsParamSerializer # noqa from permabots.serializers.hook import HookSerializer, HookUpdateSerializer, TelegramRecipientSerializer, KikRecipientSerializer, MessengerRecipientSerializer # noqa from permabots.serializers.environment_vars import EnvironmentVarSerializer # noqa

127.777778

247

0.888696

83

1,150

12.277108

0.566265

0.102061

0.18842

0.192345

0

0.069565

1,150

8

248

143.75

0.952336

0.033913

0

1

0

true

0

1

0

1

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1

null

0

1

0

1

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0

null

0

1

0

1

0

1

0

8

994db77007230e7a16c3850b85d6a7cd96e0b9d7

255

py

Python

revolver/log.py

michaelcontento/revolver

bbae82df0804ff2708a82fd0016b776664ee2deb

[ "Apache-2.0" ]

1

2015-05-16T17:55:26.000Z

revolver/log.py

michaelcontento/revolver

bbae82df0804ff2708a82fd0016b776664ee2deb

[ "Apache-2.0" ]

null

revolver/log.py

michaelcontento/revolver

bbae82df0804ff2708a82fd0016b776664ee2deb

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import, division, with_statement from fabric.contrib.console import confirm from fabric.utils import abort, warn from fabric.utils import fastprint as put_fast from fabric.utils import puts as put

28.333333

64

0.8

38

255

5.184211

0.578947

0.203046

0.228426

0.319797

0

0.004525

0.133333

255

8

65

31.875

0.886878

0.082353

0

1

0

true

0

1

0

1

0.2

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

995c03864c44eb5f6e261dd1c772dcf2e1b176c7

334

py

Python

naturalnets/optimizers/__init__.py

bjuergens/NaturalNets

fd67f1b3c443761270adaf9877ed2a6358d830f0

[ "MIT" ]

null

naturalnets/optimizers/__init__.py

bjuergens/NaturalNets

fd67f1b3c443761270adaf9877ed2a6358d830f0

[ "MIT" ]

2

2021-04-13T11:47:01.000Z

2021-04-30T11:44:46.000Z

naturalnets/optimizers/__init__.py

bjuergens/NaturalNets

fd67f1b3c443761270adaf9877ed2a6358d830f0

[ "MIT" ]

1

2021-11-03T09:36:40.000Z

from naturalnets.optimizers.canonical_es import OptimizerCanonicalEs from naturalnets.optimizers.cma_es_deap import OptimizerCmaEsDeap from naturalnets.optimizers.cma_es_pycma import OptimizerCmaEsPycma from naturalnets.optimizers.openai_es import OptimizerOpenAIES from naturalnets.optimizers.mu_lambda_deap import OptimizerMuLambda

55.666667

68

0.91018

38

334

7.789474

0.447368

0.253378

0.422297

0.189189

0.202703

0

0.05988

334

5

69

66.8

0.942675

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

999e9c3a75e1ede482c7e7bdee6b4157aa9eba20

517

py

Python

travel.py

brightmaraba/crash-course

7f02b48b4e89d3022bc11e9314a8ef0485938ede

[ "MIT" ]

null

travel.py

brightmaraba/crash-course

7f02b48b4e89d3022bc11e9314a8ef0485938ede

[ "MIT" ]

null

travel.py

brightmaraba/crash-course

7f02b48b4e89d3022bc11e9314a8ef0485938ede

[ "MIT" ]

null

world_cities = ['Dubai', 'New Orleans', 'Santorini', 'Gaza', 'Seoul'] print('***********') print(world_cities) print('***********') print(sorted(world_cities)) print('***********') print(world_cities) print('***********') print(sorted(world_cities, reverse=True)) print('***********') print(world_cities) print('***********') world_cities.reverse() print('***********') print(world_cities) world_cities.reverse() print('***********') print(world_cities) print('***********') world_cities.sort() print(world_cities)

21.541667

69

0.586074

54

517

5.388889

0.240741

0.453608

0.439863

0.360825

0.742268

0.329897

0

0.059961

517

23

70

22.478261

0.598765

0

0.809524

0

0.258252

0

1

0

false

0

0.809524

0

null

1

0

1

0

1

0

null

0

1

0

7

5100de0ed5e74e4f91fe6bcbef397f5aa009134a

5,303

py

Python

python/tests/generated/api/section/test_all_elements_required.py

eno-lang/enolib

4175f7c1e8246493b6758c29bddc80d20eaf15f7

[ "MIT" ]

17

2019-04-15T21:03:37.000Z

2022-01-24T11:03:34.000Z

python/tests/generated/api/section/test_all_elements_required.py

eno-lang/enolib

4175f7c1e8246493b6758c29bddc80d20eaf15f7

[ "MIT" ]

20

2019-03-13T23:23:40.000Z

2022-03-29T13:40:57.000Z

python/tests/generated/api/section/test_all_elements_required.py

eno-lang/enolib

4175f7c1e8246493b6758c29bddc80d20eaf15f7

[ "MIT" ]

4

2019-04-15T21:18:03.000Z

2019-09-21T16:18:10.000Z

import enolib def test_querying_a_missing_field_on_the_document_when_all_elements_are_required_raises_the_expected_validationerror(): error = None input = ("") try: document = enolib.parse(input) document.all_elements_required() document.field('field') except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("The field 'field' is missing - in case it has been specified look for typos and also check for correct capitalization.") assert error.text == text def test_querying_a_missing_fieldset_on_the_document_when_all_elements_are_required_raises_the_expected_validationerror(): error = None input = ("") try: document = enolib.parse(input) document.all_elements_required() document.fieldset('fieldset') except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("The fieldset 'fieldset' is missing - in case it has been specified look for typos and also check for correct capitalization.") assert error.text == text def test_querying_a_missing_list_on_the_document_when_all_elements_are_required_raises_the_expected_validationerror(): error = None input = ("") try: document = enolib.parse(input) document.all_elements_required() document.list('list') except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("The list 'list' is missing - in case it has been specified look for typos and also check for correct capitalization.") assert error.text == text def test_querying_a_missing_section_on_the_document_when_all_elements_are_required_raises_the_expected_validationerror(): error = None input = ("") try: document = enolib.parse(input) document.all_elements_required() document.section('section') except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("The section 'section' is missing - in case it has been specified look for typos and also check for correct capitalization.") assert error.text == text def test_querying_a_missing_field_on_the_document_when_requiring_all_elements_is_explicitly_disabled_produces_the_expected_result(): input = ("") document = enolib.parse(input) document.all_elements_required(False) document.field('field') assert bool('it passes') is True def test_querying_a_missing_field_on_the_document_when_requiring_all_elements_is_enabled_and_disabled_again_produces_the_expected_result(): input = ("") document = enolib.parse(input) document.all_elements_required(True) document.all_elements_required(False) document.field('field') assert bool('it passes') is True def test_querying_a_missing_but_explicitly_optional_element_on_the_document_when_requiring_all_elements_is_enabled_produces_the_expected_result(): input = ("") document = enolib.parse(input) document.all_elements_required() document.optional_element('element') assert bool('it passes') is True def test_querying_a_missing_but_explicitly_optional_empty_on_the_document_when_requiring_all_elements_is_enabled_produces_the_expected_result(): input = ("") document = enolib.parse(input) document.all_elements_required() document.optional_empty('empty') assert bool('it passes') is True def test_querying_a_missing_but_explicitly_optional_field_on_the_document_when_requiring_all_elements_is_enabled_produces_the_expected_result(): input = ("") document = enolib.parse(input) document.all_elements_required() document.optional_field('field') assert bool('it passes') is True def test_querying_a_missing_but_explicitly_optional_fieldset_on_the_document_when_requiring_all_elements_is_enabled_produces_the_expected_result(): input = ("") document = enolib.parse(input) document.all_elements_required() document.optional_fieldset('fieldset') assert bool('it passes') is True def test_querying_a_missing_but_explicitly_optional_list_on_the_document_when_requiring_all_elements_is_enabled_produces_the_expected_result(): input = ("") document = enolib.parse(input) document.all_elements_required() document.optional_list('list') assert bool('it passes') is True def test_querying_a_missing_but_explicitly_optional_section_on_the_document_when_requiring_all_elements_is_enabled_produces_the_expected_result(): input = ("") document = enolib.parse(input) document.all_elements_required() document.optional_section('section') assert bool('it passes') is True

31.194118

147

0.732038

649

5,303

5.565485

0.101695

0.076135

0.068383

0.097176

0.939092

0.928571

0.921927

0

0.196493

5,303

170

148

31.194118

0.847688

0

0.754545

0

0.036364

0.11727

0

0.145455

1

0.109091

false

0.072727

0.009091

0

0.118182

0

null

0

1

0

1

0

null

0

1

0

8

5147fad306d93edbc67f0ff25124296f7a44e206

141

py

Python

data/obverter/__init__.py

gautierdag/cultural-evolution-engine

54ea8d374ff4345c05f03eccfb2e93161e16a050

[ "MIT" ]

4

2019-03-20T15:31:44.000Z

2020-11-28T13:40:13.000Z

data/obverter/__init__.py

gautierdag/cultural-evolution-engine

54ea8d374ff4345c05f03eccfb2e93161e16a050

[ "MIT" ]

null

data/obverter/__init__.py

gautierdag/cultural-evolution-engine

54ea8d374ff4345c05f03eccfb2e93161e16a050

[ "MIT" ]

1

2021-11-06T01:15:28.000Z

from .get_obverter_dataloader import get_obverter_dataloader, get_obverter_features from .get_obverter_metadata import get_obverter_metadata

47

83

0.914894

19

141

6.263158

0.368421

0.462185

0.252101

0

0.06383

141

2

84

70.5

0.901515

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

5a947a23fd33395a7204ca63effa32e0984a1997

568

py

Python

src/testcase/GN_APP/input_case/GN_APP_Device_Page.py

maiyajj/AutoTest_script-Appium_Connect

f9c2c42c281a9e2f984acb4a72dda0694b053f22

[ "Apache-2.0" ]

28

2017-11-10T00:19:16.000Z

2022-02-19T16:42:05.000Z

src/testcase/GN_APP/input_case/GN_APP_Device_Page.py

maiyajj/AutoTest_script-Appium_Connect

f9c2c42c281a9e2f984acb4a72dda0694b053f22

[ "Apache-2.0" ]

null

src/testcase/GN_APP/input_case/GN_APP_Device_Page.py

maiyajj/AutoTest_script-Appium_Connect

f9c2c42c281a9e2f984acb4a72dda0694b053f22

[ "Apache-2.0" ]

23

2017-08-22T06:12:19.000Z

2021-09-18T05:45:41.000Z

# coding=utf-8 try: from src.testcase.GN_APP.case.GN_APP_DEVICE_PAGE.GN_APP_DEVICE_PAGE_001 import * from src.testcase.GN_APP.case.GN_APP_DEVICE_PAGE.GN_APP_DEVICE_PAGE_002 import * from src.testcase.GN_APP.case.GN_APP_DEVICE_PAGE.GN_APP_DEVICE_PAGE_003 import * from src.testcase.GN_APP.case.GN_APP_DEVICE_PAGE.GN_APP_DEVICE_PAGE_004 import * from src.testcase.GN_APP.case.GN_APP_DEVICE_PAGE.GN_APP_DEVICE_PAGE_005 import * from src.testcase.GN_APP.case.GN_APP_DEVICE_PAGE.GN_APP_DEVICE_PAGE_006 import * except ImportError as e: print(e)

51.636364

84

0.818662

106

568

3.933962

0.226415

0.215827

0.316547

0.431655

0.848921

0

0.037402

0.105634

568

10

85

56.8

0.783465

0.021127

0

1

0

true

0

0.777778

0

0.777778

0.111111

0

null

1

0

null

0

1

0

1

0

1

0

12

5ad696dfac675ecd1e39576cb66e493c814c945b

72,184

py

Python

sdk/python/pulumi_alicloud/cs/serverless_kubernetes.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

42

2019-03-18T06:34:37.000Z

2022-03-24T07:08:57.000Z

sdk/python/pulumi_alicloud/cs/serverless_kubernetes.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

152

2019-04-15T21:03:44.000Z

2022-03-29T18:00:57.000Z

sdk/python/pulumi_alicloud/cs/serverless_kubernetes.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

3

2020-08-26T17:30:07.000Z

2021-07-05T01:37:45.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['ServerlessKubernetesArgs', 'ServerlessKubernetes'] @pulumi.input_type class ServerlessKubernetesArgs: def __init__(__self__, *, vpc_id: pulumi.Input[str], addons: Optional[pulumi.Input[Sequence[pulumi.Input['ServerlessKubernetesAddonArgs']]]] = None, client_cert: Optional[pulumi.Input[str]] = None, client_key: Optional[pulumi.Input[str]] = None, cluster_ca_cert: Optional[pulumi.Input[str]] = None, deletion_protection: Optional[pulumi.Input[bool]] = None, endpoint_public_access_enabled: Optional[pulumi.Input[bool]] = None, force_update: Optional[pulumi.Input[bool]] = None, kube_config: Optional[pulumi.Input[str]] = None, load_balancer_spec: Optional[pulumi.Input[str]] = None, logging_type: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, name_prefix: Optional[pulumi.Input[str]] = None, new_nat_gateway: Optional[pulumi.Input[bool]] = None, private_zone: Optional[pulumi.Input[bool]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, security_group_id: Optional[pulumi.Input[str]] = None, service_cidr: Optional[pulumi.Input[str]] = None, service_discovery_types: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, sls_project_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, time_zone: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[str]] = None, vswitch_id: Optional[pulumi.Input[str]] = None, vswitch_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, zone_id: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a ServerlessKubernetes resource. :param pulumi.Input[str] vpc_id: The vpc where new kubernetes cluster will be located. Specify one vpc's id, if it is not specified, a new VPC will be built. :param pulumi.Input[Sequence[pulumi.Input['ServerlessKubernetesAddonArgs']]] addons: ) You can specific network plugin,log component,ingress component and so on.Detailed below. :param pulumi.Input[str] client_cert: The path of client certificate, like `~/.kube/client-cert.pem`. :param pulumi.Input[str] client_key: The path of client key, like `~/.kube/client-key.pem`. :param pulumi.Input[str] cluster_ca_cert: The path of cluster ca certificate, like `~/.kube/cluster-ca-cert.pem` :param pulumi.Input[bool] deletion_protection: Whether enable the deletion protection or not. - true: Enable deletion protection. - false: Disable deletion protection. :param pulumi.Input[bool] endpoint_public_access_enabled: Whether to create internet eip for API Server. Default to false. :param pulumi.Input[bool] force_update: Default false, when you want to change `vpc_id` and `vswitch_id`, you have to set this field to true, then the cluster will be recreated. :param pulumi.Input[str] kube_config: The path of kube config, like `~/.kube/config`. :param pulumi.Input[str] load_balancer_spec: The cluster api server load balance instance specification, default `slb.s1.small`. For more information on how to select a LB instance specification, see [SLB instance overview](https://help.aliyun.com/document_detail/85931.html). :param pulumi.Input[str] logging_type: Enable log service, Valid value `SLS`. :param pulumi.Input[str] name: Name of the ACK add-on. The name must match one of the names returned by [DescribeAddons](https://help.aliyun.com/document_detail/171524.html). :param pulumi.Input[bool] new_nat_gateway: Whether to create a new nat gateway while creating kubernetes cluster. SNAT must be configured when a new VPC is automatically created. Default is `true`. :param pulumi.Input[bool] private_zone: (Optional, ForceNew) Has been deprecated from provider version 1.123.1. `PrivateZone` is used as the enumeration value of `service_discovery_types`. :param pulumi.Input[str] resource_group_id: The ID of the resource group,by default these cloud resources are automatically assigned to the default resource group. :param pulumi.Input[str] security_group_id: The ID of the security group to which the ECS instances in the cluster belong. If it is not specified, a new Security group will be built. :param pulumi.Input[str] service_cidr: CIDR block of the service network. The specified CIDR block cannot overlap with that of the VPC or those of the ACK clusters that are deployed in the VPC. The CIDR block cannot be modified after the cluster is created. :param pulumi.Input[Sequence[pulumi.Input[str]]] service_discovery_types: Service discovery type. If the value is empty, it means that service discovery is not enabled. Valid values are `CoreDNS` and `PrivateZone`. :param pulumi.Input[str] sls_project_name: If you use an existing SLS project, you must specify `sls_project_name`. :param pulumi.Input[Mapping[str, Any]] tags: Default nil, A map of tags assigned to the kubernetes cluster and work nodes. :param pulumi.Input[str] time_zone: The time zone of the cluster. :param pulumi.Input[str] version: Desired Kubernetes version. If you do not specify a value, the latest available version at resource creation is used. :param pulumi.Input[str] vswitch_id: (Required, ForceNew) The vswitch where new kubernetes cluster will be located. Specify one vswitch's id, if it is not specified, a new VPC and VSwicth will be built. It must be in the zone which `availability_zone` specified. :param pulumi.Input[Sequence[pulumi.Input[str]]] vswitch_ids: The vswitches where new kubernetes cluster will be located. :param pulumi.Input[str] zone_id: When creating a cluster using automatic VPC creation, you need to specify the zone where the VPC is located. """ pulumi.set(__self__, "vpc_id", vpc_id) if addons is not None: pulumi.set(__self__, "addons", addons) if client_cert is not None: pulumi.set(__self__, "client_cert", client_cert) if client_key is not None: pulumi.set(__self__, "client_key", client_key) if cluster_ca_cert is not None: pulumi.set(__self__, "cluster_ca_cert", cluster_ca_cert) if deletion_protection is not None: pulumi.set(__self__, "deletion_protection", deletion_protection) if endpoint_public_access_enabled is not None: pulumi.set(__self__, "endpoint_public_access_enabled", endpoint_public_access_enabled) if force_update is not None: pulumi.set(__self__, "force_update", force_update) if kube_config is not None: pulumi.set(__self__, "kube_config", kube_config) if load_balancer_spec is not None: pulumi.set(__self__, "load_balancer_spec", load_balancer_spec) if logging_type is not None: pulumi.set(__self__, "logging_type", logging_type) if name is not None: pulumi.set(__self__, "name", name) if name_prefix is not None: pulumi.set(__self__, "name_prefix", name_prefix) if new_nat_gateway is not None: pulumi.set(__self__, "new_nat_gateway", new_nat_gateway) if private_zone is not None: warnings.warn("""Field 'private_zone' has been deprecated from provider version 1.123.1. New field 'service_discovery_types' replace it.""", DeprecationWarning) pulumi.log.warn("""private_zone is deprecated: Field 'private_zone' has been deprecated from provider version 1.123.1. New field 'service_discovery_types' replace it.""") if private_zone is not None: pulumi.set(__self__, "private_zone", private_zone) if resource_group_id is not None: pulumi.set(__self__, "resource_group_id", resource_group_id) if security_group_id is not None: pulumi.set(__self__, "security_group_id", security_group_id) if service_cidr is not None: pulumi.set(__self__, "service_cidr", service_cidr) if service_discovery_types is not None: pulumi.set(__self__, "service_discovery_types", service_discovery_types) if sls_project_name is not None: pulumi.set(__self__, "sls_project_name", sls_project_name) if tags is not None: pulumi.set(__self__, "tags", tags) if time_zone is not None: pulumi.set(__self__, "time_zone", time_zone) if version is not None: pulumi.set(__self__, "version", version) if vswitch_id is not None: warnings.warn("""Field 'vswitch_id' has been deprecated from provider version 1.91.0. New field 'vswitch_ids' replace it.""", DeprecationWarning) pulumi.log.warn("""vswitch_id is deprecated: Field 'vswitch_id' has been deprecated from provider version 1.91.0. New field 'vswitch_ids' replace it.""") if vswitch_id is not None: pulumi.set(__self__, "vswitch_id", vswitch_id) if vswitch_ids is not None: pulumi.set(__self__, "vswitch_ids", vswitch_ids) if zone_id is not None: pulumi.set(__self__, "zone_id", zone_id) @property @pulumi.getter(name="vpcId") def vpc_id(self) -> pulumi.Input[str]: """ The vpc where new kubernetes cluster will be located. Specify one vpc's id, if it is not specified, a new VPC will be built. """ return pulumi.get(self, "vpc_id") @vpc_id.setter def vpc_id(self, value: pulumi.Input[str]): pulumi.set(self, "vpc_id", value) @property @pulumi.getter def addons(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ServerlessKubernetesAddonArgs']]]]: """ ) You can specific network plugin,log component,ingress component and so on.Detailed below. """ return pulumi.get(self, "addons") @addons.setter def addons(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ServerlessKubernetesAddonArgs']]]]): pulumi.set(self, "addons", value) @property @pulumi.getter(name="clientCert") def client_cert(self) -> Optional[pulumi.Input[str]]: """ The path of client certificate, like `~/.kube/client-cert.pem`. """ return pulumi.get(self, "client_cert") @client_cert.setter def client_cert(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_cert", value) @property @pulumi.getter(name="clientKey") def client_key(self) -> Optional[pulumi.Input[str]]: """ The path of client key, like `~/.kube/client-key.pem`. """ return pulumi.get(self, "client_key") @client_key.setter def client_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_key", value) @property @pulumi.getter(name="clusterCaCert") def cluster_ca_cert(self) -> Optional[pulumi.Input[str]]: """ The path of cluster ca certificate, like `~/.kube/cluster-ca-cert.pem` """ return pulumi.get(self, "cluster_ca_cert") @cluster_ca_cert.setter def cluster_ca_cert(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cluster_ca_cert", value) @property @pulumi.getter(name="deletionProtection") def deletion_protection(self) -> Optional[pulumi.Input[bool]]: """ Whether enable the deletion protection or not. - true: Enable deletion protection. - false: Disable deletion protection. """ return pulumi.get(self, "deletion_protection") @deletion_protection.setter def deletion_protection(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "deletion_protection", value) @property @pulumi.getter(name="endpointPublicAccessEnabled") def endpoint_public_access_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether to create internet eip for API Server. Default to false. """ return pulumi.get(self, "endpoint_public_access_enabled") @endpoint_public_access_enabled.setter def endpoint_public_access_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "endpoint_public_access_enabled", value) @property @pulumi.getter(name="forceUpdate") def force_update(self) -> Optional[pulumi.Input[bool]]: """ Default false, when you want to change `vpc_id` and `vswitch_id`, you have to set this field to true, then the cluster will be recreated. """ return pulumi.get(self, "force_update") @force_update.setter def force_update(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "force_update", value) @property @pulumi.getter(name="kubeConfig") def kube_config(self) -> Optional[pulumi.Input[str]]: """ The path of kube config, like `~/.kube/config`. """ return pulumi.get(self, "kube_config") @kube_config.setter def kube_config(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "kube_config", value) @property @pulumi.getter(name="loadBalancerSpec") def load_balancer_spec(self) -> Optional[pulumi.Input[str]]: """ The cluster api server load balance instance specification, default `slb.s1.small`. For more information on how to select a LB instance specification, see [SLB instance overview](https://help.aliyun.com/document_detail/85931.html). """ return pulumi.get(self, "load_balancer_spec") @load_balancer_spec.setter def load_balancer_spec(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "load_balancer_spec", value) @property @pulumi.getter(name="loggingType") def logging_type(self) -> Optional[pulumi.Input[str]]: """ Enable log service, Valid value `SLS`. """ return pulumi.get(self, "logging_type") @logging_type.setter def logging_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "logging_type", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the ACK add-on. The name must match one of the names returned by [DescribeAddons](https://help.aliyun.com/document_detail/171524.html). """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="namePrefix") def name_prefix(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name_prefix") @name_prefix.setter def name_prefix(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name_prefix", value) @property @pulumi.getter(name="newNatGateway") def new_nat_gateway(self) -> Optional[pulumi.Input[bool]]: """ Whether to create a new nat gateway while creating kubernetes cluster. SNAT must be configured when a new VPC is automatically created. Default is `true`. """ return pulumi.get(self, "new_nat_gateway") @new_nat_gateway.setter def new_nat_gateway(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "new_nat_gateway", value) @property @pulumi.getter(name="privateZone") def private_zone(self) -> Optional[pulumi.Input[bool]]: """ (Optional, ForceNew) Has been deprecated from provider version 1.123.1. `PrivateZone` is used as the enumeration value of `service_discovery_types`. """ return pulumi.get(self, "private_zone") @private_zone.setter def private_zone(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "private_zone", value) @property @pulumi.getter(name="resourceGroupId") def resource_group_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the resource group,by default these cloud resources are automatically assigned to the default resource group. """ return pulumi.get(self, "resource_group_id") @resource_group_id.setter def resource_group_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_id", value) @property @pulumi.getter(name="securityGroupId") def security_group_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the security group to which the ECS instances in the cluster belong. If it is not specified, a new Security group will be built. """ return pulumi.get(self, "security_group_id") @security_group_id.setter def security_group_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "security_group_id", value) @property @pulumi.getter(name="serviceCidr") def service_cidr(self) -> Optional[pulumi.Input[str]]: """ CIDR block of the service network. The specified CIDR block cannot overlap with that of the VPC or those of the ACK clusters that are deployed in the VPC. The CIDR block cannot be modified after the cluster is created. """ return pulumi.get(self, "service_cidr") @service_cidr.setter def service_cidr(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "service_cidr", value) @property @pulumi.getter(name="serviceDiscoveryTypes") def service_discovery_types(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Service discovery type. If the value is empty, it means that service discovery is not enabled. Valid values are `CoreDNS` and `PrivateZone`. """ return pulumi.get(self, "service_discovery_types") @service_discovery_types.setter def service_discovery_types(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "service_discovery_types", value) @property @pulumi.getter(name="slsProjectName") def sls_project_name(self) -> Optional[pulumi.Input[str]]: """ If you use an existing SLS project, you must specify `sls_project_name`. """ return pulumi.get(self, "sls_project_name") @sls_project_name.setter def sls_project_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "sls_project_name", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ Default nil, A map of tags assigned to the kubernetes cluster and work nodes. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "tags", value) @property @pulumi.getter(name="timeZone") def time_zone(self) -> Optional[pulumi.Input[str]]: """ The time zone of the cluster. """ return pulumi.get(self, "time_zone") @time_zone.setter def time_zone(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "time_zone", value) @property @pulumi.getter def version(self) -> Optional[pulumi.Input[str]]: """ Desired Kubernetes version. If you do not specify a value, the latest available version at resource creation is used. """ return pulumi.get(self, "version") @version.setter def version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "version", value) @property @pulumi.getter(name="vswitchId") def vswitch_id(self) -> Optional[pulumi.Input[str]]: """ (Required, ForceNew) The vswitch where new kubernetes cluster will be located. Specify one vswitch's id, if it is not specified, a new VPC and VSwicth will be built. It must be in the zone which `availability_zone` specified. """ return pulumi.get(self, "vswitch_id") @vswitch_id.setter def vswitch_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "vswitch_id", value) @property @pulumi.getter(name="vswitchIds") def vswitch_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ The vswitches where new kubernetes cluster will be located. """ return pulumi.get(self, "vswitch_ids") @vswitch_ids.setter def vswitch_ids(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "vswitch_ids", value) @property @pulumi.getter(name="zoneId") def zone_id(self) -> Optional[pulumi.Input[str]]: """ When creating a cluster using automatic VPC creation, you need to specify the zone where the VPC is located. """ return pulumi.get(self, "zone_id") @zone_id.setter def zone_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "zone_id", value) @pulumi.input_type class _ServerlessKubernetesState: def __init__(__self__, *, addons: Optional[pulumi.Input[Sequence[pulumi.Input['ServerlessKubernetesAddonArgs']]]] = None, client_cert: Optional[pulumi.Input[str]] = None, client_key: Optional[pulumi.Input[str]] = None, cluster_ca_cert: Optional[pulumi.Input[str]] = None, deletion_protection: Optional[pulumi.Input[bool]] = None, endpoint_public_access_enabled: Optional[pulumi.Input[bool]] = None, force_update: Optional[pulumi.Input[bool]] = None, kube_config: Optional[pulumi.Input[str]] = None, load_balancer_spec: Optional[pulumi.Input[str]] = None, logging_type: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, name_prefix: Optional[pulumi.Input[str]] = None, new_nat_gateway: Optional[pulumi.Input[bool]] = None, private_zone: Optional[pulumi.Input[bool]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, security_group_id: Optional[pulumi.Input[str]] = None, service_cidr: Optional[pulumi.Input[str]] = None, service_discovery_types: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, sls_project_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, time_zone: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[str]] = None, vpc_id: Optional[pulumi.Input[str]] = None, vswitch_id: Optional[pulumi.Input[str]] = None, vswitch_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, zone_id: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering ServerlessKubernetes resources. :param pulumi.Input[Sequence[pulumi.Input['ServerlessKubernetesAddonArgs']]] addons: ) You can specific network plugin,log component,ingress component and so on.Detailed below. :param pulumi.Input[str] client_cert: The path of client certificate, like `~/.kube/client-cert.pem`. :param pulumi.Input[str] client_key: The path of client key, like `~/.kube/client-key.pem`. :param pulumi.Input[str] cluster_ca_cert: The path of cluster ca certificate, like `~/.kube/cluster-ca-cert.pem` :param pulumi.Input[bool] deletion_protection: Whether enable the deletion protection or not. - true: Enable deletion protection. - false: Disable deletion protection. :param pulumi.Input[bool] endpoint_public_access_enabled: Whether to create internet eip for API Server. Default to false. :param pulumi.Input[bool] force_update: Default false, when you want to change `vpc_id` and `vswitch_id`, you have to set this field to true, then the cluster will be recreated. :param pulumi.Input[str] kube_config: The path of kube config, like `~/.kube/config`. :param pulumi.Input[str] load_balancer_spec: The cluster api server load balance instance specification, default `slb.s1.small`. For more information on how to select a LB instance specification, see [SLB instance overview](https://help.aliyun.com/document_detail/85931.html). :param pulumi.Input[str] logging_type: Enable log service, Valid value `SLS`. :param pulumi.Input[str] name: Name of the ACK add-on. The name must match one of the names returned by [DescribeAddons](https://help.aliyun.com/document_detail/171524.html). :param pulumi.Input[bool] new_nat_gateway: Whether to create a new nat gateway while creating kubernetes cluster. SNAT must be configured when a new VPC is automatically created. Default is `true`. :param pulumi.Input[bool] private_zone: (Optional, ForceNew) Has been deprecated from provider version 1.123.1. `PrivateZone` is used as the enumeration value of `service_discovery_types`. :param pulumi.Input[str] resource_group_id: The ID of the resource group,by default these cloud resources are automatically assigned to the default resource group. :param pulumi.Input[str] security_group_id: The ID of the security group to which the ECS instances in the cluster belong. If it is not specified, a new Security group will be built. :param pulumi.Input[str] service_cidr: CIDR block of the service network. The specified CIDR block cannot overlap with that of the VPC or those of the ACK clusters that are deployed in the VPC. The CIDR block cannot be modified after the cluster is created. :param pulumi.Input[Sequence[pulumi.Input[str]]] service_discovery_types: Service discovery type. If the value is empty, it means that service discovery is not enabled. Valid values are `CoreDNS` and `PrivateZone`. :param pulumi.Input[str] sls_project_name: If you use an existing SLS project, you must specify `sls_project_name`. :param pulumi.Input[Mapping[str, Any]] tags: Default nil, A map of tags assigned to the kubernetes cluster and work nodes. :param pulumi.Input[str] time_zone: The time zone of the cluster. :param pulumi.Input[str] version: Desired Kubernetes version. If you do not specify a value, the latest available version at resource creation is used. :param pulumi.Input[str] vpc_id: The vpc where new kubernetes cluster will be located. Specify one vpc's id, if it is not specified, a new VPC will be built. :param pulumi.Input[str] vswitch_id: (Required, ForceNew) The vswitch where new kubernetes cluster will be located. Specify one vswitch's id, if it is not specified, a new VPC and VSwicth will be built. It must be in the zone which `availability_zone` specified. :param pulumi.Input[Sequence[pulumi.Input[str]]] vswitch_ids: The vswitches where new kubernetes cluster will be located. :param pulumi.Input[str] zone_id: When creating a cluster using automatic VPC creation, you need to specify the zone where the VPC is located. """ if addons is not None: pulumi.set(__self__, "addons", addons) if client_cert is not None: pulumi.set(__self__, "client_cert", client_cert) if client_key is not None: pulumi.set(__self__, "client_key", client_key) if cluster_ca_cert is not None: pulumi.set(__self__, "cluster_ca_cert", cluster_ca_cert) if deletion_protection is not None: pulumi.set(__self__, "deletion_protection", deletion_protection) if endpoint_public_access_enabled is not None: pulumi.set(__self__, "endpoint_public_access_enabled", endpoint_public_access_enabled) if force_update is not None: pulumi.set(__self__, "force_update", force_update) if kube_config is not None: pulumi.set(__self__, "kube_config", kube_config) if load_balancer_spec is not None: pulumi.set(__self__, "load_balancer_spec", load_balancer_spec) if logging_type is not None: pulumi.set(__self__, "logging_type", logging_type) if name is not None: pulumi.set(__self__, "name", name) if name_prefix is not None: pulumi.set(__self__, "name_prefix", name_prefix) if new_nat_gateway is not None: pulumi.set(__self__, "new_nat_gateway", new_nat_gateway) if private_zone is not None: warnings.warn("""Field 'private_zone' has been deprecated from provider version 1.123.1. New field 'service_discovery_types' replace it.""", DeprecationWarning) pulumi.log.warn("""private_zone is deprecated: Field 'private_zone' has been deprecated from provider version 1.123.1. New field 'service_discovery_types' replace it.""") if private_zone is not None: pulumi.set(__self__, "private_zone", private_zone) if resource_group_id is not None: pulumi.set(__self__, "resource_group_id", resource_group_id) if security_group_id is not None: pulumi.set(__self__, "security_group_id", security_group_id) if service_cidr is not None: pulumi.set(__self__, "service_cidr", service_cidr) if service_discovery_types is not None: pulumi.set(__self__, "service_discovery_types", service_discovery_types) if sls_project_name is not None: pulumi.set(__self__, "sls_project_name", sls_project_name) if tags is not None: pulumi.set(__self__, "tags", tags) if time_zone is not None: pulumi.set(__self__, "time_zone", time_zone) if version is not None: pulumi.set(__self__, "version", version) if vpc_id is not None: pulumi.set(__self__, "vpc_id", vpc_id) if vswitch_id is not None: warnings.warn("""Field 'vswitch_id' has been deprecated from provider version 1.91.0. New field 'vswitch_ids' replace it.""", DeprecationWarning) pulumi.log.warn("""vswitch_id is deprecated: Field 'vswitch_id' has been deprecated from provider version 1.91.0. New field 'vswitch_ids' replace it.""") if vswitch_id is not None: pulumi.set(__self__, "vswitch_id", vswitch_id) if vswitch_ids is not None: pulumi.set(__self__, "vswitch_ids", vswitch_ids) if zone_id is not None: pulumi.set(__self__, "zone_id", zone_id) @property @pulumi.getter def addons(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ServerlessKubernetesAddonArgs']]]]: """ ) You can specific network plugin,log component,ingress component and so on.Detailed below. """ return pulumi.get(self, "addons") @addons.setter def addons(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ServerlessKubernetesAddonArgs']]]]): pulumi.set(self, "addons", value) @property @pulumi.getter(name="clientCert") def client_cert(self) -> Optional[pulumi.Input[str]]: """ The path of client certificate, like `~/.kube/client-cert.pem`. """ return pulumi.get(self, "client_cert") @client_cert.setter def client_cert(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_cert", value) @property @pulumi.getter(name="clientKey") def client_key(self) -> Optional[pulumi.Input[str]]: """ The path of client key, like `~/.kube/client-key.pem`. """ return pulumi.get(self, "client_key") @client_key.setter def client_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_key", value) @property @pulumi.getter(name="clusterCaCert") def cluster_ca_cert(self) -> Optional[pulumi.Input[str]]: """ The path of cluster ca certificate, like `~/.kube/cluster-ca-cert.pem` """ return pulumi.get(self, "cluster_ca_cert") @cluster_ca_cert.setter def cluster_ca_cert(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cluster_ca_cert", value) @property @pulumi.getter(name="deletionProtection") def deletion_protection(self) -> Optional[pulumi.Input[bool]]: """ Whether enable the deletion protection or not. - true: Enable deletion protection. - false: Disable deletion protection. """ return pulumi.get(self, "deletion_protection") @deletion_protection.setter def deletion_protection(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "deletion_protection", value) @property @pulumi.getter(name="endpointPublicAccessEnabled") def endpoint_public_access_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether to create internet eip for API Server. Default to false. """ return pulumi.get(self, "endpoint_public_access_enabled") @endpoint_public_access_enabled.setter def endpoint_public_access_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "endpoint_public_access_enabled", value) @property @pulumi.getter(name="forceUpdate") def force_update(self) -> Optional[pulumi.Input[bool]]: """ Default false, when you want to change `vpc_id` and `vswitch_id`, you have to set this field to true, then the cluster will be recreated. """ return pulumi.get(self, "force_update") @force_update.setter def force_update(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "force_update", value) @property @pulumi.getter(name="kubeConfig") def kube_config(self) -> Optional[pulumi.Input[str]]: """ The path of kube config, like `~/.kube/config`. """ return pulumi.get(self, "kube_config") @kube_config.setter def kube_config(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "kube_config", value) @property @pulumi.getter(name="loadBalancerSpec") def load_balancer_spec(self) -> Optional[pulumi.Input[str]]: """ The cluster api server load balance instance specification, default `slb.s1.small`. For more information on how to select a LB instance specification, see [SLB instance overview](https://help.aliyun.com/document_detail/85931.html). """ return pulumi.get(self, "load_balancer_spec") @load_balancer_spec.setter def load_balancer_spec(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "load_balancer_spec", value) @property @pulumi.getter(name="loggingType") def logging_type(self) -> Optional[pulumi.Input[str]]: """ Enable log service, Valid value `SLS`. """ return pulumi.get(self, "logging_type") @logging_type.setter def logging_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "logging_type", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the ACK add-on. The name must match one of the names returned by [DescribeAddons](https://help.aliyun.com/document_detail/171524.html). """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="namePrefix") def name_prefix(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name_prefix") @name_prefix.setter def name_prefix(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name_prefix", value) @property @pulumi.getter(name="newNatGateway") def new_nat_gateway(self) -> Optional[pulumi.Input[bool]]: """ Whether to create a new nat gateway while creating kubernetes cluster. SNAT must be configured when a new VPC is automatically created. Default is `true`. """ return pulumi.get(self, "new_nat_gateway") @new_nat_gateway.setter def new_nat_gateway(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "new_nat_gateway", value) @property @pulumi.getter(name="privateZone") def private_zone(self) -> Optional[pulumi.Input[bool]]: """ (Optional, ForceNew) Has been deprecated from provider version 1.123.1. `PrivateZone` is used as the enumeration value of `service_discovery_types`. """ return pulumi.get(self, "private_zone") @private_zone.setter def private_zone(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "private_zone", value) @property @pulumi.getter(name="resourceGroupId") def resource_group_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the resource group,by default these cloud resources are automatically assigned to the default resource group. """ return pulumi.get(self, "resource_group_id") @resource_group_id.setter def resource_group_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_id", value) @property @pulumi.getter(name="securityGroupId") def security_group_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the security group to which the ECS instances in the cluster belong. If it is not specified, a new Security group will be built. """ return pulumi.get(self, "security_group_id") @security_group_id.setter def security_group_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "security_group_id", value) @property @pulumi.getter(name="serviceCidr") def service_cidr(self) -> Optional[pulumi.Input[str]]: """ CIDR block of the service network. The specified CIDR block cannot overlap with that of the VPC or those of the ACK clusters that are deployed in the VPC. The CIDR block cannot be modified after the cluster is created. """ return pulumi.get(self, "service_cidr") @service_cidr.setter def service_cidr(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "service_cidr", value) @property @pulumi.getter(name="serviceDiscoveryTypes") def service_discovery_types(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Service discovery type. If the value is empty, it means that service discovery is not enabled. Valid values are `CoreDNS` and `PrivateZone`. """ return pulumi.get(self, "service_discovery_types") @service_discovery_types.setter def service_discovery_types(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "service_discovery_types", value) @property @pulumi.getter(name="slsProjectName") def sls_project_name(self) -> Optional[pulumi.Input[str]]: """ If you use an existing SLS project, you must specify `sls_project_name`. """ return pulumi.get(self, "sls_project_name") @sls_project_name.setter def sls_project_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "sls_project_name", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ Default nil, A map of tags assigned to the kubernetes cluster and work nodes. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "tags", value) @property @pulumi.getter(name="timeZone") def time_zone(self) -> Optional[pulumi.Input[str]]: """ The time zone of the cluster. """ return pulumi.get(self, "time_zone") @time_zone.setter def time_zone(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "time_zone", value) @property @pulumi.getter def version(self) -> Optional[pulumi.Input[str]]: """ Desired Kubernetes version. If you do not specify a value, the latest available version at resource creation is used. """ return pulumi.get(self, "version") @version.setter def version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "version", value) @property @pulumi.getter(name="vpcId") def vpc_id(self) -> Optional[pulumi.Input[str]]: """ The vpc where new kubernetes cluster will be located. Specify one vpc's id, if it is not specified, a new VPC will be built. """ return pulumi.get(self, "vpc_id") @vpc_id.setter def vpc_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "vpc_id", value) @property @pulumi.getter(name="vswitchId") def vswitch_id(self) -> Optional[pulumi.Input[str]]: """ (Required, ForceNew) The vswitch where new kubernetes cluster will be located. Specify one vswitch's id, if it is not specified, a new VPC and VSwicth will be built. It must be in the zone which `availability_zone` specified. """ return pulumi.get(self, "vswitch_id") @vswitch_id.setter def vswitch_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "vswitch_id", value) @property @pulumi.getter(name="vswitchIds") def vswitch_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ The vswitches where new kubernetes cluster will be located. """ return pulumi.get(self, "vswitch_ids") @vswitch_ids.setter def vswitch_ids(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "vswitch_ids", value) @property @pulumi.getter(name="zoneId") def zone_id(self) -> Optional[pulumi.Input[str]]: """ When creating a cluster using automatic VPC creation, you need to specify the zone where the VPC is located. """ return pulumi.get(self, "zone_id") @zone_id.setter def zone_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "zone_id", value) class ServerlessKubernetes(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, addons: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServerlessKubernetesAddonArgs']]]]] = None, client_cert: Optional[pulumi.Input[str]] = None, client_key: Optional[pulumi.Input[str]] = None, cluster_ca_cert: Optional[pulumi.Input[str]] = None, deletion_protection: Optional[pulumi.Input[bool]] = None, endpoint_public_access_enabled: Optional[pulumi.Input[bool]] = None, force_update: Optional[pulumi.Input[bool]] = None, kube_config: Optional[pulumi.Input[str]] = None, load_balancer_spec: Optional[pulumi.Input[str]] = None, logging_type: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, name_prefix: Optional[pulumi.Input[str]] = None, new_nat_gateway: Optional[pulumi.Input[bool]] = None, private_zone: Optional[pulumi.Input[bool]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, security_group_id: Optional[pulumi.Input[str]] = None, service_cidr: Optional[pulumi.Input[str]] = None, service_discovery_types: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, sls_project_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, time_zone: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[str]] = None, vpc_id: Optional[pulumi.Input[str]] = None, vswitch_id: Optional[pulumi.Input[str]] = None, vswitch_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, zone_id: Optional[pulumi.Input[str]] = None, __props__=None): """ ## Import Serverless Kubernetes cluster can be imported using the id, e.g. ```sh $ pulumi import alicloud:cs/serverlessKubernetes:ServerlessKubernetes main ce4273f9156874b46bb ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServerlessKubernetesAddonArgs']]]] addons: ) You can specific network plugin,log component,ingress component and so on.Detailed below. :param pulumi.Input[str] client_cert: The path of client certificate, like `~/.kube/client-cert.pem`. :param pulumi.Input[str] client_key: The path of client key, like `~/.kube/client-key.pem`. :param pulumi.Input[str] cluster_ca_cert: The path of cluster ca certificate, like `~/.kube/cluster-ca-cert.pem` :param pulumi.Input[bool] deletion_protection: Whether enable the deletion protection or not. - true: Enable deletion protection. - false: Disable deletion protection. :param pulumi.Input[bool] endpoint_public_access_enabled: Whether to create internet eip for API Server. Default to false. :param pulumi.Input[bool] force_update: Default false, when you want to change `vpc_id` and `vswitch_id`, you have to set this field to true, then the cluster will be recreated. :param pulumi.Input[str] kube_config: The path of kube config, like `~/.kube/config`. :param pulumi.Input[str] load_balancer_spec: The cluster api server load balance instance specification, default `slb.s1.small`. For more information on how to select a LB instance specification, see [SLB instance overview](https://help.aliyun.com/document_detail/85931.html). :param pulumi.Input[str] logging_type: Enable log service, Valid value `SLS`. :param pulumi.Input[str] name: Name of the ACK add-on. The name must match one of the names returned by [DescribeAddons](https://help.aliyun.com/document_detail/171524.html). :param pulumi.Input[bool] new_nat_gateway: Whether to create a new nat gateway while creating kubernetes cluster. SNAT must be configured when a new VPC is automatically created. Default is `true`. :param pulumi.Input[bool] private_zone: (Optional, ForceNew) Has been deprecated from provider version 1.123.1. `PrivateZone` is used as the enumeration value of `service_discovery_types`. :param pulumi.Input[str] resource_group_id: The ID of the resource group,by default these cloud resources are automatically assigned to the default resource group. :param pulumi.Input[str] security_group_id: The ID of the security group to which the ECS instances in the cluster belong. If it is not specified, a new Security group will be built. :param pulumi.Input[str] service_cidr: CIDR block of the service network. The specified CIDR block cannot overlap with that of the VPC or those of the ACK clusters that are deployed in the VPC. The CIDR block cannot be modified after the cluster is created. :param pulumi.Input[Sequence[pulumi.Input[str]]] service_discovery_types: Service discovery type. If the value is empty, it means that service discovery is not enabled. Valid values are `CoreDNS` and `PrivateZone`. :param pulumi.Input[str] sls_project_name: If you use an existing SLS project, you must specify `sls_project_name`. :param pulumi.Input[Mapping[str, Any]] tags: Default nil, A map of tags assigned to the kubernetes cluster and work nodes. :param pulumi.Input[str] time_zone: The time zone of the cluster. :param pulumi.Input[str] version: Desired Kubernetes version. If you do not specify a value, the latest available version at resource creation is used. :param pulumi.Input[str] vpc_id: The vpc where new kubernetes cluster will be located. Specify one vpc's id, if it is not specified, a new VPC will be built. :param pulumi.Input[str] vswitch_id: (Required, ForceNew) The vswitch where new kubernetes cluster will be located. Specify one vswitch's id, if it is not specified, a new VPC and VSwicth will be built. It must be in the zone which `availability_zone` specified. :param pulumi.Input[Sequence[pulumi.Input[str]]] vswitch_ids: The vswitches where new kubernetes cluster will be located. :param pulumi.Input[str] zone_id: When creating a cluster using automatic VPC creation, you need to specify the zone where the VPC is located. """ ... @overload def __init__(__self__, resource_name: str, args: ServerlessKubernetesArgs, opts: Optional[pulumi.ResourceOptions] = None): """ ## Import Serverless Kubernetes cluster can be imported using the id, e.g. ```sh $ pulumi import alicloud:cs/serverlessKubernetes:ServerlessKubernetes main ce4273f9156874b46bb ``` :param str resource_name: The name of the resource. :param ServerlessKubernetesArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(ServerlessKubernetesArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, addons: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServerlessKubernetesAddonArgs']]]]] = None, client_cert: Optional[pulumi.Input[str]] = None, client_key: Optional[pulumi.Input[str]] = None, cluster_ca_cert: Optional[pulumi.Input[str]] = None, deletion_protection: Optional[pulumi.Input[bool]] = None, endpoint_public_access_enabled: Optional[pulumi.Input[bool]] = None, force_update: Optional[pulumi.Input[bool]] = None, kube_config: Optional[pulumi.Input[str]] = None, load_balancer_spec: Optional[pulumi.Input[str]] = None, logging_type: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, name_prefix: Optional[pulumi.Input[str]] = None, new_nat_gateway: Optional[pulumi.Input[bool]] = None, private_zone: Optional[pulumi.Input[bool]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, security_group_id: Optional[pulumi.Input[str]] = None, service_cidr: Optional[pulumi.Input[str]] = None, service_discovery_types: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, sls_project_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, time_zone: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[str]] = None, vpc_id: Optional[pulumi.Input[str]] = None, vswitch_id: Optional[pulumi.Input[str]] = None, vswitch_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, zone_id: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = ServerlessKubernetesArgs.__new__(ServerlessKubernetesArgs) __props__.__dict__["addons"] = addons __props__.__dict__["client_cert"] = client_cert __props__.__dict__["client_key"] = client_key __props__.__dict__["cluster_ca_cert"] = cluster_ca_cert __props__.__dict__["deletion_protection"] = deletion_protection __props__.__dict__["endpoint_public_access_enabled"] = endpoint_public_access_enabled __props__.__dict__["force_update"] = force_update __props__.__dict__["kube_config"] = kube_config __props__.__dict__["load_balancer_spec"] = load_balancer_spec __props__.__dict__["logging_type"] = logging_type __props__.__dict__["name"] = name __props__.__dict__["name_prefix"] = name_prefix __props__.__dict__["new_nat_gateway"] = new_nat_gateway if private_zone is not None and not opts.urn: warnings.warn("""Field 'private_zone' has been deprecated from provider version 1.123.1. New field 'service_discovery_types' replace it.""", DeprecationWarning) pulumi.log.warn("""private_zone is deprecated: Field 'private_zone' has been deprecated from provider version 1.123.1. New field 'service_discovery_types' replace it.""") __props__.__dict__["private_zone"] = private_zone __props__.__dict__["resource_group_id"] = resource_group_id __props__.__dict__["security_group_id"] = security_group_id __props__.__dict__["service_cidr"] = service_cidr __props__.__dict__["service_discovery_types"] = service_discovery_types __props__.__dict__["sls_project_name"] = sls_project_name __props__.__dict__["tags"] = tags __props__.__dict__["time_zone"] = time_zone __props__.__dict__["version"] = version if vpc_id is None and not opts.urn: raise TypeError("Missing required property 'vpc_id'") __props__.__dict__["vpc_id"] = vpc_id if vswitch_id is not None and not opts.urn: warnings.warn("""Field 'vswitch_id' has been deprecated from provider version 1.91.0. New field 'vswitch_ids' replace it.""", DeprecationWarning) pulumi.log.warn("""vswitch_id is deprecated: Field 'vswitch_id' has been deprecated from provider version 1.91.0. New field 'vswitch_ids' replace it.""") __props__.__dict__["vswitch_id"] = vswitch_id __props__.__dict__["vswitch_ids"] = vswitch_ids __props__.__dict__["zone_id"] = zone_id super(ServerlessKubernetes, __self__).__init__( 'alicloud:cs/serverlessKubernetes:ServerlessKubernetes', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, addons: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServerlessKubernetesAddonArgs']]]]] = None, client_cert: Optional[pulumi.Input[str]] = None, client_key: Optional[pulumi.Input[str]] = None, cluster_ca_cert: Optional[pulumi.Input[str]] = None, deletion_protection: Optional[pulumi.Input[bool]] = None, endpoint_public_access_enabled: Optional[pulumi.Input[bool]] = None, force_update: Optional[pulumi.Input[bool]] = None, kube_config: Optional[pulumi.Input[str]] = None, load_balancer_spec: Optional[pulumi.Input[str]] = None, logging_type: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, name_prefix: Optional[pulumi.Input[str]] = None, new_nat_gateway: Optional[pulumi.Input[bool]] = None, private_zone: Optional[pulumi.Input[bool]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, security_group_id: Optional[pulumi.Input[str]] = None, service_cidr: Optional[pulumi.Input[str]] = None, service_discovery_types: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, sls_project_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, time_zone: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[str]] = None, vpc_id: Optional[pulumi.Input[str]] = None, vswitch_id: Optional[pulumi.Input[str]] = None, vswitch_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, zone_id: Optional[pulumi.Input[str]] = None) -> 'ServerlessKubernetes': """ Get an existing ServerlessKubernetes resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServerlessKubernetesAddonArgs']]]] addons: ) You can specific network plugin,log component,ingress component and so on.Detailed below. :param pulumi.Input[str] client_cert: The path of client certificate, like `~/.kube/client-cert.pem`. :param pulumi.Input[str] client_key: The path of client key, like `~/.kube/client-key.pem`. :param pulumi.Input[str] cluster_ca_cert: The path of cluster ca certificate, like `~/.kube/cluster-ca-cert.pem` :param pulumi.Input[bool] deletion_protection: Whether enable the deletion protection or not. - true: Enable deletion protection. - false: Disable deletion protection. :param pulumi.Input[bool] endpoint_public_access_enabled: Whether to create internet eip for API Server. Default to false. :param pulumi.Input[bool] force_update: Default false, when you want to change `vpc_id` and `vswitch_id`, you have to set this field to true, then the cluster will be recreated. :param pulumi.Input[str] kube_config: The path of kube config, like `~/.kube/config`. :param pulumi.Input[str] load_balancer_spec: The cluster api server load balance instance specification, default `slb.s1.small`. For more information on how to select a LB instance specification, see [SLB instance overview](https://help.aliyun.com/document_detail/85931.html). :param pulumi.Input[str] logging_type: Enable log service, Valid value `SLS`. :param pulumi.Input[str] name: Name of the ACK add-on. The name must match one of the names returned by [DescribeAddons](https://help.aliyun.com/document_detail/171524.html). :param pulumi.Input[bool] new_nat_gateway: Whether to create a new nat gateway while creating kubernetes cluster. SNAT must be configured when a new VPC is automatically created. Default is `true`. :param pulumi.Input[bool] private_zone: (Optional, ForceNew) Has been deprecated from provider version 1.123.1. `PrivateZone` is used as the enumeration value of `service_discovery_types`. :param pulumi.Input[str] resource_group_id: The ID of the resource group,by default these cloud resources are automatically assigned to the default resource group. :param pulumi.Input[str] security_group_id: The ID of the security group to which the ECS instances in the cluster belong. If it is not specified, a new Security group will be built. :param pulumi.Input[str] service_cidr: CIDR block of the service network. The specified CIDR block cannot overlap with that of the VPC or those of the ACK clusters that are deployed in the VPC. The CIDR block cannot be modified after the cluster is created. :param pulumi.Input[Sequence[pulumi.Input[str]]] service_discovery_types: Service discovery type. If the value is empty, it means that service discovery is not enabled. Valid values are `CoreDNS` and `PrivateZone`. :param pulumi.Input[str] sls_project_name: If you use an existing SLS project, you must specify `sls_project_name`. :param pulumi.Input[Mapping[str, Any]] tags: Default nil, A map of tags assigned to the kubernetes cluster and work nodes. :param pulumi.Input[str] time_zone: The time zone of the cluster. :param pulumi.Input[str] version: Desired Kubernetes version. If you do not specify a value, the latest available version at resource creation is used. :param pulumi.Input[str] vpc_id: The vpc where new kubernetes cluster will be located. Specify one vpc's id, if it is not specified, a new VPC will be built. :param pulumi.Input[str] vswitch_id: (Required, ForceNew) The vswitch where new kubernetes cluster will be located. Specify one vswitch's id, if it is not specified, a new VPC and VSwicth will be built. It must be in the zone which `availability_zone` specified. :param pulumi.Input[Sequence[pulumi.Input[str]]] vswitch_ids: The vswitches where new kubernetes cluster will be located. :param pulumi.Input[str] zone_id: When creating a cluster using automatic VPC creation, you need to specify the zone where the VPC is located. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _ServerlessKubernetesState.__new__(_ServerlessKubernetesState) __props__.__dict__["addons"] = addons __props__.__dict__["client_cert"] = client_cert __props__.__dict__["client_key"] = client_key __props__.__dict__["cluster_ca_cert"] = cluster_ca_cert __props__.__dict__["deletion_protection"] = deletion_protection __props__.__dict__["endpoint_public_access_enabled"] = endpoint_public_access_enabled __props__.__dict__["force_update"] = force_update __props__.__dict__["kube_config"] = kube_config __props__.__dict__["load_balancer_spec"] = load_balancer_spec __props__.__dict__["logging_type"] = logging_type __props__.__dict__["name"] = name __props__.__dict__["name_prefix"] = name_prefix __props__.__dict__["new_nat_gateway"] = new_nat_gateway __props__.__dict__["private_zone"] = private_zone __props__.__dict__["resource_group_id"] = resource_group_id __props__.__dict__["security_group_id"] = security_group_id __props__.__dict__["service_cidr"] = service_cidr __props__.__dict__["service_discovery_types"] = service_discovery_types __props__.__dict__["sls_project_name"] = sls_project_name __props__.__dict__["tags"] = tags __props__.__dict__["time_zone"] = time_zone __props__.__dict__["version"] = version __props__.__dict__["vpc_id"] = vpc_id __props__.__dict__["vswitch_id"] = vswitch_id __props__.__dict__["vswitch_ids"] = vswitch_ids __props__.__dict__["zone_id"] = zone_id return ServerlessKubernetes(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def addons(self) -> pulumi.Output[Sequence['outputs.ServerlessKubernetesAddon']]: """ ) You can specific network plugin,log component,ingress component and so on.Detailed below. """ return pulumi.get(self, "addons") @property @pulumi.getter(name="clientCert") def client_cert(self) -> pulumi.Output[Optional[str]]: """ The path of client certificate, like `~/.kube/client-cert.pem`. """ return pulumi.get(self, "client_cert") @property @pulumi.getter(name="clientKey") def client_key(self) -> pulumi.Output[Optional[str]]: """ The path of client key, like `~/.kube/client-key.pem`. """ return pulumi.get(self, "client_key") @property @pulumi.getter(name="clusterCaCert") def cluster_ca_cert(self) -> pulumi.Output[Optional[str]]: """ The path of cluster ca certificate, like `~/.kube/cluster-ca-cert.pem` """ return pulumi.get(self, "cluster_ca_cert") @property @pulumi.getter(name="deletionProtection") def deletion_protection(self) -> pulumi.Output[Optional[bool]]: """ Whether enable the deletion protection or not. - true: Enable deletion protection. - false: Disable deletion protection. """ return pulumi.get(self, "deletion_protection") @property @pulumi.getter(name="endpointPublicAccessEnabled") def endpoint_public_access_enabled(self) -> pulumi.Output[Optional[bool]]: """ Whether to create internet eip for API Server. Default to false. """ return pulumi.get(self, "endpoint_public_access_enabled") @property @pulumi.getter(name="forceUpdate") def force_update(self) -> pulumi.Output[Optional[bool]]: """ Default false, when you want to change `vpc_id` and `vswitch_id`, you have to set this field to true, then the cluster will be recreated. """ return pulumi.get(self, "force_update") @property @pulumi.getter(name="kubeConfig") def kube_config(self) -> pulumi.Output[Optional[str]]: """ The path of kube config, like `~/.kube/config`. """ return pulumi.get(self, "kube_config") @property @pulumi.getter(name="loadBalancerSpec") def load_balancer_spec(self) -> pulumi.Output[Optional[str]]: """ The cluster api server load balance instance specification, default `slb.s1.small`. For more information on how to select a LB instance specification, see [SLB instance overview](https://help.aliyun.com/document_detail/85931.html). """ return pulumi.get(self, "load_balancer_spec") @property @pulumi.getter(name="loggingType") def logging_type(self) -> pulumi.Output[Optional[str]]: """ Enable log service, Valid value `SLS`. """ return pulumi.get(self, "logging_type") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ Name of the ACK add-on. The name must match one of the names returned by [DescribeAddons](https://help.aliyun.com/document_detail/171524.html). """ return pulumi.get(self, "name") @property @pulumi.getter(name="namePrefix") def name_prefix(self) -> pulumi.Output[Optional[str]]: return pulumi.get(self, "name_prefix") @property @pulumi.getter(name="newNatGateway") def new_nat_gateway(self) -> pulumi.Output[Optional[bool]]: """ Whether to create a new nat gateway while creating kubernetes cluster. SNAT must be configured when a new VPC is automatically created. Default is `true`. """ return pulumi.get(self, "new_nat_gateway") @property @pulumi.getter(name="privateZone") def private_zone(self) -> pulumi.Output[Optional[bool]]: """ (Optional, ForceNew) Has been deprecated from provider version 1.123.1. `PrivateZone` is used as the enumeration value of `service_discovery_types`. """ return pulumi.get(self, "private_zone") @property @pulumi.getter(name="resourceGroupId") def resource_group_id(self) -> pulumi.Output[str]: """ The ID of the resource group,by default these cloud resources are automatically assigned to the default resource group. """ return pulumi.get(self, "resource_group_id") @property @pulumi.getter(name="securityGroupId") def security_group_id(self) -> pulumi.Output[str]: """ The ID of the security group to which the ECS instances in the cluster belong. If it is not specified, a new Security group will be built. """ return pulumi.get(self, "security_group_id") @property @pulumi.getter(name="serviceCidr") def service_cidr(self) -> pulumi.Output[Optional[str]]: """ CIDR block of the service network. The specified CIDR block cannot overlap with that of the VPC or those of the ACK clusters that are deployed in the VPC. The CIDR block cannot be modified after the cluster is created. """ return pulumi.get(self, "service_cidr") @property @pulumi.getter(name="serviceDiscoveryTypes") def service_discovery_types(self) -> pulumi.Output[Optional[Sequence[str]]]: """ Service discovery type. If the value is empty, it means that service discovery is not enabled. Valid values are `CoreDNS` and `PrivateZone`. """ return pulumi.get(self, "service_discovery_types") @property @pulumi.getter(name="slsProjectName") def sls_project_name(self) -> pulumi.Output[str]: """ If you use an existing SLS project, you must specify `sls_project_name`. """ return pulumi.get(self, "sls_project_name") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, Any]]]: """ Default nil, A map of tags assigned to the kubernetes cluster and work nodes. """ return pulumi.get(self, "tags") @property @pulumi.getter(name="timeZone") def time_zone(self) -> pulumi.Output[str]: """ The time zone of the cluster. """ return pulumi.get(self, "time_zone") @property @pulumi.getter def version(self) -> pulumi.Output[str]: """ Desired Kubernetes version. If you do not specify a value, the latest available version at resource creation is used. """ return pulumi.get(self, "version") @property @pulumi.getter(name="vpcId") def vpc_id(self) -> pulumi.Output[str]: """ The vpc where new kubernetes cluster will be located. Specify one vpc's id, if it is not specified, a new VPC will be built. """ return pulumi.get(self, "vpc_id") @property @pulumi.getter(name="vswitchId") def vswitch_id(self) -> pulumi.Output[Optional[str]]: """ (Required, ForceNew) The vswitch where new kubernetes cluster will be located. Specify one vswitch's id, if it is not specified, a new VPC and VSwicth will be built. It must be in the zone which `availability_zone` specified. """ return pulumi.get(self, "vswitch_id") @property @pulumi.getter(name="vswitchIds") def vswitch_ids(self) -> pulumi.Output[Sequence[str]]: """ The vswitches where new kubernetes cluster will be located. """ return pulumi.get(self, "vswitch_ids") @property @pulumi.getter(name="zoneId") def zone_id(self) -> pulumi.Output[Optional[str]]: """ When creating a cluster using automatic VPC creation, you need to specify the zone where the VPC is located. """ return pulumi.get(self, "zone_id")

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Python

faraday_spectra/__init__.py

MatthewJA/faraday-spectra

36cf20041da73ffca20331600e850f7cd442e9a0

[ "BSD-3-Clause" ]

1

2020-09-30T06:53:26.000Z

faraday_spectra/__init__.py

MatthewJA/faraday-spectra

36cf20041da73ffca20331600e850f7cd442e9a0

[ "BSD-3-Clause" ]

null

faraday_spectra/__init__.py

MatthewJA/faraday-spectra

36cf20041da73ffca20331600e850f7cd442e9a0

[ "BSD-3-Clause" ]

null

"""Generate simulated Faraday spectra.""" from .generate_spectra import generate_spectra as generate from .__version__ import __version__

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py

Python

test/test_app_helpers.py

clach04/PyWebScrapBook

310e8f20cc5337336875679246b9269265b4476a

[ "MIT" ]

39

2019-04-10T18:07:40.000Z

2022-02-07T07:11:30.000Z

test/test_app_helpers.py

clach04/PyWebScrapBook

310e8f20cc5337336875679246b9269265b4476a

[ "MIT" ]

56

2019-05-07T23:29:14.000Z

2022-02-24T10:33:43.000Z

test/test_app_helpers.py

clach04/PyWebScrapBook

310e8f20cc5337336875679246b9269265b4476a

[ "MIT" ]

15

2019-06-12T05:16:43.000Z

2022-01-16T13:24:11.000Z

from unittest import mock import unittest import sys import os import shutil import io import zipfile import time from flask import current_app, request import webscrapbook from webscrapbook import WSB_DIR, WSB_CONFIG from webscrapbook import app as wsbapp root_dir = os.path.abspath(os.path.dirname(__file__)) server_root = os.path.join(root_dir, 'test_app_helpers') def setUpModule(): # mock out user config global mockings mockings = [ mock.patch('webscrapbook.WSB_USER_DIR', server_root, 'wsb'), mock.patch('webscrapbook.WSB_USER_CONFIG', server_root), ] for mocking in mockings: mocking.start() def tearDownModule(): # stop mock for mocking in mockings: mocking.stop() class TestFunctions(unittest.TestCase): def test_is_local_access(self): root = os.path.join(root_dir, 'test_app_helpers', 'general') app = wsbapp.make_app(root) # host is localhost with app.test_request_context('/', base_url='http://127.0.0.1', environ_base={'REMOTE_ADDR': '192.168.0.100'}): self.assertTrue(wsbapp.is_local_access()) # host (with port) is localhost with app.test_request_context('/', base_url='http://127.0.0.1:8000', environ_base={'REMOTE_ADDR': '192.168.0.100'}): self.assertTrue(wsbapp.is_local_access()) # remote is localhost with app.test_request_context('/', base_url='http://192.168.0.1', environ_base={'REMOTE_ADDR': '127.0.0.1'}): self.assertTrue(wsbapp.is_local_access()) # host = remote with app.test_request_context('/', base_url='http://example.com', environ_base={'REMOTE_ADDR': 'example.com'}): self.assertTrue(wsbapp.is_local_access()) # host (with port) = remote with app.test_request_context('/', base_url='http://example.com:8000', environ_base={'REMOTE_ADDR': 'example.com'}): self.assertTrue(wsbapp.is_local_access()) # otherwise non-local with app.test_request_context('/', base_url='http://example.com', environ_base={'REMOTE_ADDR': '192.168.0.100'}): self.assertFalse(wsbapp.is_local_access()) def test_get_archive_path1(self): """Basic logit for a sub-archive path.""" root = os.path.join(root_dir, 'test_app_helpers', 'general') app = wsbapp.make_app(root) with app.app_context(): tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: pass self.assertEqual(wsbapp.get_archive_path('/entry.zip'), ['/entry.zip']) self.assertEqual(wsbapp.get_archive_path('/entry.zip!'), ['/entry.zip!']) self.assertEqual(wsbapp.get_archive_path('/entry.zip!/'), ['/entry.zip', '']) self.assertEqual(wsbapp.get_archive_path('/entry.zip!/subdir'), ['/entry.zip', 'subdir']) self.assertEqual(wsbapp.get_archive_path('/entry.zip!/subdir/'), ['/entry.zip', 'subdir']) self.assertEqual(wsbapp.get_archive_path('/entry.zip!/index.html'), ['/entry.zip', 'index.html']) finally: try: os.remove(tempfile) except FileNotFoundError: pass def test_get_archive_path2(self): """Handle conflicting file or directory.""" # entry.zip!/entry1.zip!/ = entry.zip!/entry1.zip! > # entry.zip!/entry1.zip > # entry.zip!/ = entry.zip! > # entry.zip root = os.path.join(root_dir, 'test_app_helpers', 'general') app = wsbapp.make_app(root) with app.app_context(): # entry.zip!/entry1.zip!/ > entry.zip!/entry1.zip try: os.makedirs(os.path.join(root, 'entry.zip!', 'entry1.zip!'), exist_ok=True) with zipfile.ZipFile(os.path.join(root, 'entry.zip!', 'entry1.zip'), 'w') as zip: pass with zipfile.ZipFile(os.path.join(root, 'entry.zip'), 'w') as zip: pass self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/'), ['/entry.zip!/entry1.zip!']) finally: try: shutil.rmtree(os.path.join(root, 'entry.zip!')) except NotADirectoryError: os.remove(os.path.join(root, 'entry.zip!')) except FileNotFoundError: pass try: os.remove(os.path.join(root, 'entry.zip')) except FileNotFoundError: pass # entry.zip!/entry1.zip! > entry.zip!/entry1.zip try: os.makedirs(os.path.join(root, 'entry.zip!'), exist_ok=True) with open(os.path.join(root, 'entry.zip!', 'entry1.zip!'), 'w') as f: pass with zipfile.ZipFile(os.path.join(root, 'entry.zip!', 'entry1.zip'), 'w') as zip: pass with zipfile.ZipFile(os.path.join(root, 'entry.zip'), 'w') as zip: pass self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/'), ['/entry.zip!/entry1.zip!']) finally: try: shutil.rmtree(os.path.join(root, 'entry.zip!')) except NotADirectoryError: os.remove(os.path.join(root, 'entry.zip!')) except FileNotFoundError: pass try: os.remove(os.path.join(root, 'entry.zip')) except FileNotFoundError: pass # entry.zip!/entry1.zip > entry.zip!/ try: os.makedirs(os.path.join(root, 'entry.zip!'), exist_ok=True) with zipfile.ZipFile(os.path.join(root, 'entry.zip!', 'entry1.zip'), 'w') as zip: pass with zipfile.ZipFile(os.path.join(root, 'entry.zip'), 'w') as zip: pass self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/'), ['/entry.zip!/entry1.zip', '']) finally: try: shutil.rmtree(os.path.join(root, 'entry.zip!')) except NotADirectoryError: os.remove(os.path.join(root, 'entry.zip!')) except FileNotFoundError: pass try: os.remove(os.path.join(root, 'entry.zip')) except FileNotFoundError: pass # entry.zip!/ > entry.zip try: os.makedirs(os.path.join(root, 'entry.zip!'), exist_ok=True) with zipfile.ZipFile(os.path.join(root, 'entry.zip'), 'w') as zip: pass self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/'), ['/entry.zip!/entry1.zip!']) finally: try: shutil.rmtree(os.path.join(root, 'entry.zip!')) except NotADirectoryError: os.remove(os.path.join(root, 'entry.zip!')) except FileNotFoundError: pass try: os.remove(os.path.join(root, 'entry.zip')) except FileNotFoundError: pass # entry.zip! > entry.zip try: with open(os.path.join(root, 'entry.zip!'), 'w') as f: pass with zipfile.ZipFile(os.path.join(root, 'entry.zip'), 'w') as zip: pass self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/'), ['/entry.zip!/entry1.zip!']) finally: try: shutil.rmtree(os.path.join(root, 'entry.zip!')) except NotADirectoryError: os.remove(os.path.join(root, 'entry.zip!')) except FileNotFoundError: pass try: os.remove(os.path.join(root, 'entry.zip')) except FileNotFoundError: pass # entry.zip try: with zipfile.ZipFile(os.path.join(root, 'entry.zip'), 'w') as zip: pass self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/'), ['/entry.zip', 'entry1.zip!']) finally: try: shutil.rmtree(os.path.join(root, 'entry.zip!')) except NotADirectoryError: os.remove(os.path.join(root, 'entry.zip!')) except FileNotFoundError: pass try: os.remove(os.path.join(root, 'entry.zip')) except FileNotFoundError: pass # other try: with open(os.path.join(root, 'entry.zip'), 'w') as f: pass self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/'), ['/entry.zip!/entry1.zip!']) finally: try: shutil.rmtree(os.path.join(root, 'entry.zip!')) except NotADirectoryError: os.remove(os.path.join(root, 'entry.zip!')) except FileNotFoundError: pass try: os.remove(os.path.join(root, 'entry.zip')) except FileNotFoundError: pass def test_get_archive_path3(self): """Handle recursive sub-archive path.""" # entry1.zip!/entry2.zip!/ > # entry1.zip!/entry2.zip > # entry1.zip!/ > # entry1.zip entry2.zip!/ > # entry1.zip entry2.zip > # entry1.zip > # other root = os.path.join(root_dir, 'test_app_helpers', 'general') app = wsbapp.make_app(root) with app.app_context(): # entry1.zip!/entry2.zip!/ > entry1.zip!/entry2.zip tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: zip.writestr('entry1.zip!/entry2.zip!/', '') buf2 = io.BytesIO() with zipfile.ZipFile(buf2, 'w') as zip2: pass zip.writestr('entry1.zip!/entry2.zip', buf2.getvalue()) zip.writestr('entry1.zip!/', '') buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: buf11 = io.BytesIO() with zipfile.ZipFile(buf11, 'w'): pass zip1.writestr('entry2.zip!', '') zip1.writestr('entry2.zip', buf11.getvalue()) zip.writestr('entry1.zip', buf1.getvalue()) self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/entry2.zip!/'), ['/entry.zip', 'entry1.zip!/entry2.zip!']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # entry1.zip!/entry2.zip!/ > entry1.zip!/entry2.zip tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: zip.writestr('entry1.zip!/entry2.zip!/.gitkeep', '') buf2 = io.BytesIO() with zipfile.ZipFile(buf2, 'w') as zip2: pass zip.writestr('entry1.zip!/entry2.zip', buf2.getvalue()) zip.writestr('entry1.zip!/', '') buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: buf11 = io.BytesIO() with zipfile.ZipFile(buf11, 'w'): pass zip1.writestr('entry2.zip!', '') zip1.writestr('entry2.zip', buf11.getvalue()) zip.writestr('entry1.zip', buf1.getvalue()) self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/entry2.zip!/'), ['/entry.zip', 'entry1.zip!/entry2.zip!']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # entry1.zip!/entry2.zip > entry1.zip!/ tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: buf2 = io.BytesIO() with zipfile.ZipFile(buf2, 'w') as zip2: pass zip.writestr('entry1.zip!/entry2.zip', buf2.getvalue()) zip.writestr('entry1.zip!/', '') buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: buf11 = io.BytesIO() with zipfile.ZipFile(buf11, 'w'): pass zip1.writestr('entry2.zip!', '') zip1.writestr('entry2.zip', buf11.getvalue()) zip.writestr('entry1.zip', buf1.getvalue()) self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/entry2.zip!/'), ['/entry.zip', 'entry1.zip!/entry2.zip', '']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # entry1.zip!/ > entry1.zip entry2.zip!/ tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: zip.writestr('entry1.zip!/entry2.zip', 'non-zip') zip.writestr('entry1.zip!/', '') buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: buf11 = io.BytesIO() with zipfile.ZipFile(buf11, 'w'): pass zip1.writestr('entry2.zip!', '') zip1.writestr('entry2.zip', buf11.getvalue()) zip.writestr('entry1.zip', buf1.getvalue()) self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/entry2.zip!/'), ['/entry.zip', 'entry1.zip!/entry2.zip!']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # entry1.zip!/ > entry1.zip entry2.zip!/ tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: zip.writestr('entry1.zip!/', '') buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: buf11 = io.BytesIO() with zipfile.ZipFile(buf11, 'w'): pass zip1.writestr('entry2.zip!', '') zip1.writestr('entry2.zip', buf11.getvalue()) zip.writestr('entry1.zip', buf1.getvalue()) self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/entry2.zip!/'), ['/entry.zip', 'entry1.zip!/entry2.zip!']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # entry1.zip!/ > entry1.zip entry2.zip!/ tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: zip.writestr('entry1.zip!/.gitkeep', '') buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: buf11 = io.BytesIO() with zipfile.ZipFile(buf11, 'w'): pass zip1.writestr('entry2.zip!', '') zip1.writestr('entry2.zip', buf11.getvalue()) zip.writestr('entry1.zip', buf1.getvalue()) self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/entry2.zip!/'), ['/entry.zip', 'entry1.zip!/entry2.zip!']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # entry1.zip entry2.zip!/ > entry1.zip entry2.zip tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: buf11 = io.BytesIO() with zipfile.ZipFile(buf11, 'w'): pass zip1.writestr('entry2.zip!/', '') zip1.writestr('entry2.zip', buf11.getvalue()) zip.writestr('entry1.zip', buf1.getvalue()) self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/entry2.zip!/'), ['/entry.zip', 'entry1.zip', 'entry2.zip!']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # entry1.zip entry2.zip!/ > entry1.zip entry2.zip tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: buf11 = io.BytesIO() with zipfile.ZipFile(buf11, 'w'): pass zip1.writestr('entry2.zip!/.gitkeep', '') zip1.writestr('entry2.zip', buf11.getvalue()) zip.writestr('entry1.zip', buf1.getvalue()) self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/entry2.zip!/'), ['/entry.zip', 'entry1.zip', 'entry2.zip!']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # entry1.zip entry2.zip > entry1.zip tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: buf11 = io.BytesIO() with zipfile.ZipFile(buf11, 'w'): pass zip1.writestr('entry2.zip', buf11.getvalue()) zip.writestr('entry1.zip', buf1.getvalue()) self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/entry2.zip!/'), ['/entry.zip', 'entry1.zip', 'entry2.zip', '']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # entry1.zip tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: with zipfile.ZipFile(buf1, 'w') as zip1: zip1.writestr('entry2.zip', 'non-zip') zip.writestr('entry1.zip', buf1.getvalue()) self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/entry2.zip!/'), ['/entry.zip', 'entry1.zip', 'entry2.zip!']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # other tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: zip.writestr('entry1.zip', 'non-zip') self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/entry2.zip!/'), ['/entry.zip', 'entry1.zip!/entry2.zip!']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # other tempfile = os.path.join(root, 'entry.zip') try: with zipfile.ZipFile(tempfile, 'w') as zip: pass self.assertEqual( wsbapp.get_archive_path('/entry.zip!/entry1.zip!/entry2.zip!/'), ['/entry.zip', 'entry1.zip!/entry2.zip!']) finally: try: os.remove(tempfile) except FileNotFoundError: pass def test_open_archive_path_read(self): root = os.path.join(root_dir, 'test_app_helpers', 'general') tempfile = os.path.join(root, 'entry.zip') app = wsbapp.make_app(root) with app.app_context(): try: with zipfile.ZipFile(tempfile, 'w') as zip: buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: buf11 = io.BytesIO() with zipfile.ZipFile(buf11, 'w') as zip2: zip2.writestr('subdir/index.html', 'Hello World!') zip1.writestr('entry2.zip', buf11.getvalue()) zip.writestr('entry1.zip', buf1.getvalue()) with wsbapp.open_archive_path([tempfile, 'entry1.zip', 'entry2.zip', 'subdir/index.html']) as zip: self.assertEqual(zip.read('subdir/index.html').decode('UTF-8'), 'Hello World!') with self.assertRaises(ValueError): with wsbapp.open_archive_path([tempfile]) as zip: pass finally: try: os.remove(tempfile) except FileNotFoundError: pass def test_open_archive_path_write(self): root = os.path.join(root_dir, 'test_app_helpers', 'general') tempfile = os.path.join(root, 'entry.zip') app = wsbapp.make_app(root) with app.app_context(): try: with zipfile.ZipFile(tempfile, 'w') as zip: buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: zip1.writestr('subdir/index.html', 'Hello World!') zip.writestr('entry1.zip', buf1.getvalue()) with wsbapp.open_archive_path([tempfile, 'entry1.zip', 'subdir/index.html'], 'w') as zip: # existed zip.writestr('subdir/index.html', 'rewritten 測試') # new zip.writestr('newdir/test.txt', 'new file 測試') with wsbapp.open_archive_path([tempfile, 'entry1.zip', 'subdir/index.html']) as zip: # existed self.assertEqual(zip.read('subdir/index.html').decode('UTF-8'), 'rewritten 測試') # new self.assertEqual(zip.read('newdir/test.txt').decode('UTF-8'), 'new file 測試') finally: try: os.remove(tempfile) except FileNotFoundError: pass def test_open_archive_path_delete(self): root = os.path.join(root_dir, 'test_app_helpers', 'general') tempfile = os.path.join(root, 'entry.zip') app = wsbapp.make_app(root) with app.app_context(): # file try: with zipfile.ZipFile(tempfile, 'w') as zip: buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: zip1.writestr('subdir/', '') zip1.writestr('subdir/index.html', 'Hello World!') zip1.writestr('subdir2/test.txt', 'dummy') zip.writestr('entry1.zip', buf1.getvalue()) with wsbapp.open_archive_path([tempfile, 'entry1.zip', 'subdir/index.html'], 'w', ['subdir/index.html']) as zip: pass with wsbapp.open_archive_path([tempfile, 'entry1.zip', 'subdir/index.html']) as zip: self.assertEqual(zip.namelist(), ['subdir/', 'subdir2/test.txt']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # explicit directory try: with zipfile.ZipFile(tempfile, 'w') as zip: buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: zip1.writestr('subdir/', '') zip1.writestr('subdir/index.html', 'Hello World!') zip1.writestr('subdir2/test.txt', 'dummy') zip.writestr('entry1.zip', buf1.getvalue()) with wsbapp.open_archive_path([tempfile, 'entry1.zip', 'subdir/index.html'], 'w', ['subdir']) as zip: pass with wsbapp.open_archive_path([tempfile, 'entry1.zip', 'subdir/index.html']) as zip: self.assertEqual(zip.namelist(), ['subdir2/test.txt']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # implicit directory try: with zipfile.ZipFile(tempfile, 'w') as zip: buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: zip1.writestr('subdir/', '') zip1.writestr('subdir/index.html', 'Hello World!') zip1.writestr('subdir2/test.txt', 'dummy') zip.writestr('entry1.zip', buf1.getvalue()) with wsbapp.open_archive_path([tempfile, 'entry1.zip', 'subdir/index.html'], 'w', ['subdir2']) as zip: pass with wsbapp.open_archive_path([tempfile, 'entry1.zip', 'subdir/index.html']) as zip: self.assertEqual(zip.namelist(), ['subdir/', 'subdir/index.html']) finally: try: os.remove(tempfile) except FileNotFoundError: pass # multiple try: with zipfile.ZipFile(tempfile, 'w') as zip: buf1 = io.BytesIO() with zipfile.ZipFile(buf1, 'w') as zip1: zip1.writestr('subdir/', '') zip1.writestr('subdir/index.html', 'Hello World!') zip1.writestr('subdir2/test.txt', 'dummy') zip.writestr('entry1.zip', buf1.getvalue()) with wsbapp.open_archive_path([tempfile, 'entry1.zip', 'subdir/index.html'], 'w', ['subdir', 'subdir2']) as zip: pass with wsbapp.open_archive_path([tempfile, 'entry1.zip', 'subdir/index.html']) as zip: self.assertEqual(zip.namelist(), []) finally: try: os.remove(tempfile) except FileNotFoundError: pass @mock.patch('webscrapbook.util.encrypt', side_effect=webscrapbook.util.encrypt) def test_get_permission1(self, mock_encrypt): """Return corresponding permission for the matched user and '' for unmatched.""" root = os.path.join(root_dir, 'test_app_helpers', 'get_permission1') app = wsbapp.make_app(root) auth_config = app.config['WEBSCRAPBOOK_HOST'].config['auth'] with app.app_context(): # util.encrypt should be called with the inputting password # and the salt and method for the matched user mock_encrypt.reset_mock() self.assertEqual(wsbapp.get_permission({'username': 'user1', 'password': 'pass1'}, auth_config), '') mock_encrypt.assert_called_with('pass1', '', 'plain') self.assertEqual(wsbapp.get_permission({'username': 'user2', 'password': 'pass2'}, auth_config), 'view') mock_encrypt.assert_called_with('pass2', 'salt', 'plain') self.assertEqual(wsbapp.get_permission({'username': 'user3', 'password': 'pass3'}, auth_config), 'read') mock_encrypt.assert_called_with('pass3', '', 'sha1') self.assertEqual(wsbapp.get_permission({'username': 'user4', 'password': 'pass4'}, auth_config), 'all') mock_encrypt.assert_called_with('pass4', 'salt4', 'sha256') # Password check should be handled by util.encrypt properly. # Here are just some quick fail tests for certain cases: # - empty input should not work # - inputting password + salt should not work # - inputting hashed value should not work mock_encrypt.reset_mock() self.assertEqual(wsbapp.get_permission({'username': 'user4', 'password': ''}, auth_config), '') mock_encrypt.assert_called_with('', 'salt4', 'sha256') self.assertEqual(wsbapp.get_permission({'username': 'user4', 'password': 'salt4'}, auth_config), '') mock_encrypt.assert_called_with('salt4', 'salt4', 'sha256') self.assertEqual(wsbapp.get_permission({'username': 'user4', 'password': '49d1445a2989c509c5b5b1f78e092e3f30f05b1d219fd975ac77ff645ea68d53'}, auth_config), '') mock_encrypt.assert_called_with('49d1445a2989c509c5b5b1f78e092e3f30f05b1d219fd975ac77ff645ea68d53', 'salt4', 'sha256') # util.encrypt should NOT be called for an unmatched user mock_encrypt.reset_mock() self.assertEqual(wsbapp.get_permission(None, auth_config), '') mock_encrypt.assert_not_called() self.assertEqual(wsbapp.get_permission({'username': '', 'password': ''}, auth_config), '') mock_encrypt.assert_not_called() self.assertEqual(wsbapp.get_permission({'username': '', 'password': 'pass'}, auth_config), '') mock_encrypt.assert_not_called() self.assertEqual(wsbapp.get_permission({'username': 'userx', 'password': ''}, auth_config), '') mock_encrypt.assert_not_called() self.assertEqual(wsbapp.get_permission({'username': 'userx', 'password': 'pass'}, auth_config), '') mock_encrypt.assert_not_called() @mock.patch('webscrapbook.util.encrypt', side_effect=webscrapbook.util.encrypt) def test_get_permission2(self, mock_encrypt): """Use empty user and password if not provided.""" root = os.path.join(root_dir, 'test_app_helpers', 'get_permission2') app = wsbapp.make_app(root) auth_config = app.config['WEBSCRAPBOOK_HOST'].config['auth'] with app.app_context(): self.assertEqual(wsbapp.get_permission(None, auth_config), 'view') mock_encrypt.assert_called_with('', 'salt', 'plain') self.assertEqual(wsbapp.get_permission({'username': '', 'password': ''}, auth_config), 'view') mock_encrypt.assert_called_with('', 'salt', 'plain') @mock.patch('webscrapbook.util.encrypt', side_effect=webscrapbook.util.encrypt) def test_get_permission3(self, mock_encrypt): """Use permission for the first matched user and password.""" root = os.path.join(root_dir, 'test_app_helpers', 'get_permission3') app = wsbapp.make_app(root) auth_config = app.config['WEBSCRAPBOOK_HOST'].config['auth'] with app.app_context(): mock_encrypt.reset_mock() self.assertEqual(wsbapp.get_permission({'username': '', 'password': ''}, auth_config), 'view') mock_encrypt.assert_called_once_with('', 'salt', 'plain') mock_encrypt.reset_mock() self.assertEqual(wsbapp.get_permission({'username': 'user1', 'password': 'pass1'}, auth_config), 'read') self.assertEqual(mock_encrypt.call_args_list[0][0], ('pass1', 'salt', 'plain')) self.assertEqual(mock_encrypt.call_args_list[1][0], ('pass1', 'salt', 'plain')) def test_verify_authorization(self): for action in {'view', 'info', 'source', 'download', 'static'}: with self.subTest(action=action): self.assertFalse(wsbapp.verify_authorization('', action)) self.assertTrue(wsbapp.verify_authorization('view', action)) self.assertTrue(wsbapp.verify_authorization('read', action)) self.assertTrue(wsbapp.verify_authorization('all', action)) for action in {'list', 'edit', 'editx', 'exec', 'browse', 'config', 'unknown'}: with self.subTest(action=action): self.assertFalse(wsbapp.verify_authorization('', action)) self.assertFalse(wsbapp.verify_authorization('view', action)) self.assertTrue(wsbapp.verify_authorization('read', action)) self.assertTrue(wsbapp.verify_authorization('all', action)) for action in {'token', 'lock', 'unlock', 'mkdir', 'mkzip', 'save', 'delete', 'move', 'copy', 'backup', 'unbackup', 'cache', 'check'}: with self.subTest(action=action): self.assertFalse(wsbapp.verify_authorization('', action)) self.assertFalse(wsbapp.verify_authorization('view', action)) self.assertFalse(wsbapp.verify_authorization('read', action)) self.assertTrue(wsbapp.verify_authorization('all', action)) def test_make_app1(self): # pass root root = os.path.join(root_dir, 'test_app_helpers', 'make_app1') app = wsbapp.make_app(root) with app.app_context(): self.assertEqual(current_app.config['WEBSCRAPBOOK_HOST'].config['app']['name'], 'mywsb1') def test_make_app2(self): # pass root, config root = os.path.join(root_dir, 'test_app_helpers', 'make_app1') config_dir = os.path.join(root_dir, 'test_app_helpers', 'make_app2') config = webscrapbook.Config() config.load(config_dir) app = wsbapp.make_app(root, config) with app.app_context(): self.assertEqual(current_app.config['WEBSCRAPBOOK_HOST'].config['app']['name'], 'mywsb2') class TestRequest(unittest.TestCase): def test_action(self): root = os.path.join(root_dir, 'test_app_helpers', 'general') app = wsbapp.make_app(root) with app.test_client() as c: r = c.get('/index.html') self.assertEqual(request.action, 'view') r = c.get('/index.html', query_string={'action': 'source'}) self.assertEqual(request.action, 'source') r = c.get('/index.html', query_string={'a': 'source'}) self.assertEqual(request.action, 'source') r = c.get('/index.html', query_string={'a': 'source', 'action': 'static'}) self.assertEqual(request.action, 'static') def test_format(self): root = os.path.join(root_dir, 'test_app_helpers', 'general') app = wsbapp.make_app(root) with app.test_client() as c: r = c.get('/index.html') self.assertEqual(request.format, None) r = c.get('/index.html', query_string={'format': 'json'}) self.assertEqual(request.format, 'json') r = c.get('/index.html', query_string={'f': 'json'}) self.assertEqual(request.format, 'json') r = c.get('/index.html', query_string={'f': 'json', 'format': 'sse'}) self.assertEqual(request.format, 'sse') class TestHandlers(unittest.TestCase): def test_handle_error(self): root = os.path.join(root_dir, 'test_app_helpers', 'general') app = wsbapp.make_app(root) # json with app.test_client() as c: r = c.get('/nonexist', query_string={'a': 'list', 'f': 'json'}) self.assertEqual(r.status_code, 404) self.assertEqual(r.headers['Content-Type'], 'application/json') self.assertEqual(r.json, { 'error': { 'status': 404, 'message': 'Directory does not exist.' } }) # other with app.test_client() as c: r = c.get('/nonexist') self.assertEqual(r.status_code, 404) html = r.data.decode('UTF-8') self.assertIn('<h1>Not Found</h1>', html) class TestWebHost(unittest.TestCase): def setUp(self): self.test_dir = os.path.join(root_dir, 'test_app_helpers', 'general') self.token_dir = os.path.join(root_dir, 'test_app_helpers', 'general', WSB_DIR, 'server', 'tokens') os.makedirs(self.token_dir, exist_ok=True) def tearDown(self): try: shutil.rmtree(self.token_dir) except NotADirectoryError: os.remove(self.token_dir) except FileNotFoundError: pass @mock.patch('webscrapbook.app.WebHost.token_check_delete_expire') @mock.patch('webscrapbook.app.WebHost.TOKEN_DEFAULT_EXPIRY', 10) def test_token_acquire1(self, mock_check): now = time.time() expected_expire_time = int(now) + 10 handler = wsbapp.WebHost(self.test_dir) token = handler.token_acquire() token_file = os.path.join(self.token_dir, token) self.assertTrue(os.path.isfile(token_file)) with open(token_file, 'r', encoding='UTF-8') as f: self.assertAlmostEqual(int(f.read()), expected_expire_time, delta=1) self.assertAlmostEqual(mock_check.call_args[0][0], now, delta=1) @mock.patch('webscrapbook.app.WebHost.token_check_delete_expire') @mock.patch('webscrapbook.app.WebHost.TOKEN_DEFAULT_EXPIRY', 30) def test_token_acquire2(self, mock_check): now = 30000 expected_expire_time = int(now) + 30 handler = wsbapp.WebHost(self.test_dir) token = handler.token_acquire(now) token_file = os.path.join(self.token_dir, token) self.assertTrue(os.path.isfile(token_file)) with open(token_file, 'r', encoding='UTF-8') as f: self.assertEqual(int(f.read()), expected_expire_time) self.assertEqual(mock_check.call_args[0][0], now) def test_token_validate1(self): token = 'sampleToken' token_time = int(time.time()) + 3 token_file = os.path.join(self.token_dir, token) with open(token_file, 'w', encoding='UTF-8') as f: f.write(str(token_time)) handler = wsbapp.WebHost(self.test_dir) self.assertTrue(handler.token_validate(token)) def test_token_validate2(self): token = 'sampleToken' token_time = int(time.time()) - 3 token_file = os.path.join(self.token_dir, token) with open(token_file, 'w', encoding='UTF-8') as f: f.write(str(token_time)) handler = wsbapp.WebHost(self.test_dir) self.assertFalse(handler.token_validate(token)) def test_token_validate3(self): token = 'sampleToken' now = 30000 token_time = 30001 token_file = os.path.join(self.token_dir, token) with open(token_file, 'w', encoding='UTF-8') as f: f.write(str(token_time)) handler = wsbapp.WebHost(self.test_dir) self.assertTrue(handler.token_validate(token, now)) def test_token_validate4(self): token = 'sampleToken' now = 30000 token_time = 29999 token_file = os.path.join(self.token_dir, token) with open(token_file, 'w', encoding='UTF-8') as f: f.write(str(token_time)) handler = wsbapp.WebHost(self.test_dir) self.assertFalse(handler.token_validate(token, now)) def test_token_delete(self): token = 'sampleToken' token_file = os.path.join(self.token_dir, token) with open(token_file, 'w', encoding='UTF-8') as f: f.write(str(32768)) handler = wsbapp.WebHost(self.test_dir) handler.token_delete(token) self.assertFalse(os.path.exists(token_file)) def test_token_delete_expire1(self): now = int(time.time()) with open(os.path.join(self.token_dir, 'sampleToken1'), 'w', encoding='UTF-8') as f: f.write(str(now - 100)) with open(os.path.join(self.token_dir, 'sampleToken2'), 'w', encoding='UTF-8') as f: f.write(str(now - 10)) with open(os.path.join(self.token_dir, 'sampleToken3'), 'w', encoding='UTF-8') as f: f.write(str(now + 10)) with open(os.path.join(self.token_dir, 'sampleToken4'), 'w', encoding='UTF-8') as f: f.write(str(now + 100)) handler = wsbapp.WebHost(self.test_dir) handler.token_delete_expire() self.assertFalse(os.path.exists(os.path.join(self.token_dir, 'sampleToken1'))) self.assertFalse(os.path.exists(os.path.join(self.token_dir, 'sampleToken2'))) self.assertTrue(os.path.exists(os.path.join(self.token_dir, 'sampleToken3'))) self.assertTrue(os.path.exists(os.path.join(self.token_dir, 'sampleToken4'))) def test_token_delete_expire2(self): now = 30000 with open(os.path.join(self.token_dir, 'sampleToken1'), 'w', encoding='UTF-8') as f: f.write(str(29000)) with open(os.path.join(self.token_dir, 'sampleToken2'), 'w', encoding='UTF-8') as f: f.write(str(29100)) with open(os.path.join(self.token_dir, 'sampleToken3'), 'w', encoding='UTF-8') as f: f.write(str(30100)) with open(os.path.join(self.token_dir, 'sampleToken4'), 'w', encoding='UTF-8') as f: f.write(str(30500)) handler = wsbapp.WebHost(self.test_dir) handler.token_delete_expire(now) self.assertFalse(os.path.exists(os.path.join(self.token_dir, 'sampleToken1'))) self.assertFalse(os.path.exists(os.path.join(self.token_dir, 'sampleToken2'))) self.assertTrue(os.path.exists(os.path.join(self.token_dir, 'sampleToken3'))) self.assertTrue(os.path.exists(os.path.join(self.token_dir, 'sampleToken4'))) @mock.patch('webscrapbook.app.WebHost.token_delete_expire') def test_token_check_delete_expire1(self, mock_delete): now = int(time.time()) handler = wsbapp.WebHost(self.test_dir) self.assertEqual(handler.token_last_purge, 0) handler.token_check_delete_expire() self.assertAlmostEqual(mock_delete.call_args[0][0], now, delta=1) self.assertAlmostEqual(handler.token_last_purge, now, delta=1) @mock.patch('webscrapbook.app.WebHost.token_delete_expire') @mock.patch('webscrapbook.app.WebHost.TOKEN_PURGE_INTERVAL', 1000) def test_token_check_delete_expire2(self, mock_delete): now = int(time.time()) handler = wsbapp.WebHost(self.test_dir) handler.token_last_purge = now - 1100 handler.token_check_delete_expire() self.assertAlmostEqual(mock_delete.call_args[0][0], now, delta=1) self.assertAlmostEqual(handler.token_last_purge, now, delta=1) @mock.patch('webscrapbook.app.WebHost.token_delete_expire') @mock.patch('webscrapbook.app.WebHost.TOKEN_PURGE_INTERVAL', 1000) def test_token_check_delete_expire3(self, mock_delete): now = int(time.time()) handler = wsbapp.WebHost(self.test_dir) handler.token_last_purge = now - 900 handler.token_check_delete_expire() mock_delete.assert_not_called() self.assertEqual(handler.token_last_purge, now - 900) @mock.patch('webscrapbook.app.WebHost.token_delete_expire') @mock.patch('webscrapbook.app.WebHost.TOKEN_PURGE_INTERVAL', 1000) def test_token_check_delete_expire4(self, mock_delete): now = 40000 handler = wsbapp.WebHost(self.test_dir) handler.token_last_purge = now - 1100 handler.token_check_delete_expire(now) self.assertAlmostEqual(mock_delete.call_args[0][0], now, delta=1) self.assertAlmostEqual(handler.token_last_purge, now, delta=1) @mock.patch('webscrapbook.app.WebHost.token_delete_expire') @mock.patch('webscrapbook.app.WebHost.TOKEN_PURGE_INTERVAL', 1000) def test_token_check_delete_expire5(self, mock_delete): now = 40000 handler = wsbapp.WebHost(self.test_dir) handler.token_last_purge = now - 900 handler.token_check_delete_expire(now) mock_delete.assert_not_called() self.assertEqual(handler.token_last_purge, now - 900) if __name__ == '__main__': unittest.main()

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0.824511

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1

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null

0

1

0

8

51fc64053880e8508ac06b6453dea98f4e8a3ecc

607

py

Python

nighres/registration/__init__.py

ahleighton/nighres

bc01463241a03a88569b3ba56e195127788b5639

[ "Apache-2.0" ]

41

2017-08-15T12:23:31.000Z

2022-02-28T15:12:22.000Z

nighres/registration/__init__.py

ahleighton/nighres

bc01463241a03a88569b3ba56e195127788b5639

[ "Apache-2.0" ]

130

2017-07-27T11:09:09.000Z

2022-03-31T10:05:07.000Z

nighres/registration/__init__.py

ahleighton/nighres

bc01463241a03a88569b3ba56e195127788b5639

[ "Apache-2.0" ]

35

2017-08-17T17:05:41.000Z

2022-03-28T12:22:14.000Z

from nighres.registration.apply_coordinate_mappings import apply_coordinate_mappings from nighres.registration.apply_coordinate_mappings import apply_coordinate_mappings_2d from nighres.registration.embedded_antsreg import embedded_antsreg from nighres.registration.embedded_antsreg import embedded_antsreg_2d from nighres.registration.embedded_antsreg import embedded_antsreg_multi from nighres.registration.embedded_antsreg import embedded_antsreg_2d_multi from nighres.registration.generate_coordinate_mapping import generate_coordinate_mapping from nighres.registration.simple_align import simple_align

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null

0

1

0

1

0

9

cfc44946654a85d9887f4559dc81f7558dfc486a

1,405

py

Python

test/MessageFormatterTests.py

Monofraps/Mocca

0f4a1f5690fad457aaf4ea26d3d0271b34c6e187

[ "MIT" ]

null

test/MessageFormatterTests.py

Monofraps/Mocca

0f4a1f5690fad457aaf4ea26d3d0271b34c6e187

[ "MIT" ]

4

2015-01-09T18:02:51.000Z

2015-01-10T01:06:58.000Z

test/MessageFormatterTests.py

Monofraps/Mocca

0f4a1f5690fad457aaf4ea26d3d0271b34c6e187

[ "MIT" ]

null

import unittest import lib.MessageFormatter as MessageFormatter class MoccaMessageFormatterTests(unittest.TestCase): def test_can_set_verbosity_level(self): MessageFormatter.set_verbosity(MessageFormatter.V_INFO) self.assertEqual(MessageFormatter.verbosity, MessageFormatter.V_INFO) MessageFormatter.set_verbosity(MessageFormatter.V_ERROR) self.assertEqual(MessageFormatter.verbosity, MessageFormatter.V_ERROR) def test_should_log_method(self): MessageFormatter.set_verbosity(MessageFormatter.V_ERROR) self.assertTrue(MessageFormatter._should_log(MessageFormatter.V_ERROR)) self.assertFalse(MessageFormatter._should_log(MessageFormatter.V_INFO)) self.assertFalse(MessageFormatter._should_log(MessageFormatter.V_DEBUG)) MessageFormatter.set_verbosity(MessageFormatter.V_INFO) self.assertTrue(MessageFormatter._should_log(MessageFormatter.V_ERROR)) self.assertTrue(MessageFormatter._should_log(MessageFormatter.V_INFO)) self.assertFalse(MessageFormatter._should_log(MessageFormatter.V_DEBUG)) MessageFormatter.set_verbosity(MessageFormatter.V_DEBUG) self.assertTrue(MessageFormatter._should_log(MessageFormatter.V_ERROR)) self.assertTrue(MessageFormatter._should_log(MessageFormatter.V_INFO)) self.assertTrue(MessageFormatter._should_log(MessageFormatter.V_DEBUG))

50.178571

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0.802135

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7.721429

0.178571

0.251619

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0.592044

0

0.12242

1,405

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81

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0

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0.095238

false

0

0.095238

0

0.238095

0

null

1

0

null

0

1

0

7

cfe42daeeded78bfa937ea444128eaec538b953b

102

py

Python

app/auth/__init__.py

MelvinOmega/watchlist

519bc636f5c6d8224a4191cf94e91b458d81ea55

[ "MIT" ]

null

app/auth/__init__.py

MelvinOmega/watchlist

519bc636f5c6d8224a4191cf94e91b458d81ea55

[ "MIT" ]

null

app/auth/__init__.py

MelvinOmega/watchlist

519bc636f5c6d8224a4191cf94e91b458d81ea55

[ "MIT" ]

null

from flask import Blueprint from . import views from flask import Blueprint from . import views,forms

20.4

27

0.813725

15

102

5.533333

0.4

0.216867

0.361446

0.578313

0.939759

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102

5

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20.4

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null

0

1

0

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1

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12

cff015849c2a503547e8aa1703cb2892c1eabd81

119

py

Python

Server/django-utils-master/djutils/dashboard/__init__.py

TheInventorMan/IntelligentTrafficManagement

d72c0e3aede9e3cc258d9b30017ddfac5489541a

[ "Intel", "Unlicense" ]

3

2016-01-10T16:00:10.000Z

2018-03-13T09:21:33.000Z

Server/django-utils-master/djutils/dashboard/__init__.py

TheInventorMan/IntelligentTrafficManagement

d72c0e3aede9e3cc258d9b30017ddfac5489541a

[ "Intel", "Unlicense" ]

10

2019-12-26T17:31:31.000Z

2022-03-21T22:17:33.000Z

Server/django-utils-master/djutils/dashboard/__init__.py

TheInventorMan/IntelligentTrafficManagement

d72c0e3aede9e3cc258d9b30017ddfac5489541a

[ "Intel", "Unlicense" ]

null

from djutils.utils.helpers import generic_autodiscover def autodiscover(): return generic_autodiscover('panels')

19.833333

54

0.806723

13

119

7.230769

0.769231

0.404255

0

0.117647

119

5

55

23.8

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0

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0

1

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true

0

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0

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1

0

1

0

null

0

1

0

1

0

8

320a73fccbb06cef88c60250fc9687e6ddebe23f

8,460

py

Python

tests/test_data.py

giangbui/fence

5a28b77c30ce7fb11fd05b09a023d0aec1e57e16

[ "Apache-2.0" ]

null

tests/test_data.py

giangbui/fence

5a28b77c30ce7fb11fd05b09a023d0aec1e57e16

[ "Apache-2.0" ]

null

tests/test_data.py

giangbui/fence

5a28b77c30ce7fb11fd05b09a023d0aec1e57e16

[ "Apache-2.0" ]

null

from . import utils import jwt import urlparse import pytest from fence.errors import NotSupported @pytest.mark.parametrize( "indexd_client", ["gs", "s3", "gs_acl", "s3_acl", "s3_external"], indirect=True ) def test_indexd_download_file( client, oauth_client, user_client, indexd_client, kid, rsa_private_key, google_proxy_group, primary_google_service_account, cloud_manager, google_signed_url, ): """ Test ``GET /data/download/1``. """ indexed_file_location = indexd_client["indexed_file_location"] path = "/data/download/1" query_string = {"protocol": indexed_file_location} headers = { "Authorization": "Bearer " + jwt.encode( utils.authorized_download_context_claims( user_client.username, user_client.user_id ), key=rsa_private_key, headers={"kid": kid}, algorithm="RS256", ) } response = client.get(path, headers=headers, query_string=query_string) print(response.json) assert response.status_code == 200 assert "url" in response.json.keys() @pytest.mark.parametrize( "indexd_client", ["gs", "s3", "gs_acl", "s3_acl", "s3_external"], indirect=True ) def test_indexd_upload_file( client, oauth_client, user_client, indexd_client, kid, rsa_private_key, google_proxy_group, primary_google_service_account, cloud_manager, google_signed_url, ): """ Test ``GET /data/download/1``. """ indexed_file_location = indexd_client["indexed_file_location"] path = "/data/upload/1?protocol=" + indexed_file_location headers = { "Authorization": "Bearer " + jwt.encode( utils.authorized_upload_context_claims( user_client.username, user_client.user_id ), key=rsa_private_key, headers={"kid": kid}, algorithm="RS256", ) } response = client.get(path, headers=headers) assert response.status_code == 200 assert "url" in response.json.keys() @pytest.mark.parametrize( "indexd_client", ["gs", "s3", "gs_acl", "s3_acl", "s3_external"], indirect=True ) def test_indexd_download_file_no_protocol( client, oauth_client, user_client, indexd_client, kid, rsa_private_key, google_proxy_group, primary_google_service_account, cloud_manager, google_signed_url, ): """ Test ``GET /data/download/1``. """ path = "/data/download/1" headers = { "Authorization": "Bearer " + jwt.encode( utils.authorized_download_context_claims( user_client.username, user_client.user_id ), key=rsa_private_key, headers={"kid": kid}, algorithm="RS256", ) } response = client.get(path, headers=headers) assert response.status_code == 200 assert "url" in response.json.keys() def test_indexd_download_file_no_jwt(client, auth_client): """ Test ``GET /data/download/1``. """ path = "/data/download/1" response = client.get(path) assert response.status_code == 401 # response should not be JSON, should be HTML error page with pytest.raises(ValueError): response.json @pytest.mark.parametrize( "indexd_client", ["gs", "s3", "gs_acl", "s3_acl"], indirect=True ) def test_indexd_unauthorized_download_file( client, oauth_client, unauthorized_user_client, indexd_client, cloud_manager, google_signed_url, ): """ Test ``GET /data/download/1``. """ path = "/data/download/1" response = client.get(path) assert response.status_code == 401 # response should not be JSON, should be HTML error page with pytest.raises(ValueError): response.json @pytest.mark.parametrize( "indexd_client", ["gs", "s3", "gs_acl", "s3_acl"], indirect=True ) def test_unauthorized_indexd_download_file( client, oauth_client, user_client, indexd_client, kid, rsa_private_key, google_proxy_group, primary_google_service_account, cloud_manager, google_signed_url, ): """ Test ``GET /data/download/1``. """ path = "/data/download/1" headers = { "Authorization": "Bearer " + jwt.encode( utils.unauthorized_context_claims( user_client.username, user_client.user_id ), key=rsa_private_key, headers={"kid": kid}, algorithm="RS256", ) } response = client.get(path, headers=headers) assert response.status_code == 401 # response should not be JSON, should be HTML error page with pytest.raises(ValueError): response.json @pytest.mark.parametrize( "indexd_client", ["gs", "s3", "gs_acl", "s3_acl"], indirect=True ) def test_unauthorized_indexd_upload_file( client, oauth_client, encoded_jwt, user_client, indexd_client, kid, rsa_private_key, google_proxy_group, primary_google_service_account, cloud_manager, google_signed_url, ): """ Test ``GET /data/upload/1``. """ path = "/data/upload/1" headers = { "Authorization": "Bearer " + jwt.encode( utils.unauthorized_context_claims( user_client.username, user_client.user_id ), key=rsa_private_key, headers={"kid": kid}, algorithm="RS256", ) } response = client.get(path, headers=headers) assert response.status_code == 401 # response should not be JSON, should be HTML error page with pytest.raises(ValueError): response.json @pytest.mark.parametrize( "unauthorized_indexd_client", ["gs", "s3", "gs_acl", "s3_acl"], indirect=True ) def test_unavailable_indexd_upload_file( client, oauth_client, encoded_jwt, user_client, unauthorized_indexd_client, kid, rsa_private_key, google_proxy_group, primary_google_service_account, cloud_manager, google_signed_url, ): """ Test ``GET /data/upload/1``. """ path = "/data/upload/1" headers = { "Authorization": "Bearer " + jwt.encode( utils.unauthorized_context_claims( user_client.username, user_client.user_id ), key=rsa_private_key, headers={"kid": kid}, algorithm="RS256", ) } response = client.get(path, headers=headers) assert response.status_code == 401 # response should not be JSON, should be HTML error page with pytest.raises(ValueError): response.json @pytest.mark.parametrize( "public_indexd_client", ["gs", "s3", "gs_acl", "s3_acl"], indirect=True ) def test_public_object_download_file( client, auth_client, public_indexd_client, google_proxy_group, primary_google_service_account, cloud_manager, google_signed_url, ): """ Test ``GET /data/upload/1``. """ path = "/data/download/1" response = client.get(path) print(response.json) assert response.status_code == 200 assert "url" in response.json.keys() @pytest.mark.parametrize( "public_bucket_indexd_client", ["gs", "s3", "gs_acl", "s3_acl"], indirect=True ) def test_public_bucket_download_file( client, auth_client, public_bucket_indexd_client, google_proxy_group, primary_google_service_account, cloud_manager, google_signed_url, ): """ Test ``GET /data/upload/1`` with public bucket """ path = "/data/download/1" response = client.get(path) print(response.json) assert response.status_code == 200 url = response.json["url"] # public url without signature assert urlparse.urlparse(url).query == "" @pytest.mark.parametrize("public_bucket_indexd_client", ["s2"], indirect=True) def test_public_bucket_unsupported_protocol_file( client, auth_client, public_bucket_indexd_client, google_proxy_group, primary_google_service_account, cloud_manager, google_signed_url, ): """ Test ``GET /data/upload/1`` with public bucket """ path = "/data/download/1" response = client.get(path) assert response.status_code == 400 # response should not be JSON, should be HTML error page with pytest.raises(ValueError): response.json

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0.890151

0

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8,460

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0.085816

0

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0

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1

0.041353

false

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0

null

0

1

0

1

0

null

0

7

5c56c51e1b681c0671d00c99943bd139ed69b63e

1,300

py

Python

data-structures/linkend-list/test_linked_list.py

jamesbond007dj/py-data-structures-and-algorithms

ce66faa99f7c7e9c0f9d248a56d78c9ebf069e25

[ "MIT" ]

null

data-structures/linkend-list/test_linked_list.py

jamesbond007dj/py-data-structures-and-algorithms

ce66faa99f7c7e9c0f9d248a56d78c9ebf069e25

[ "MIT" ]

1

2020-01-21T17:00:14.000Z

data-structures/linkend-list/test_linked_list.py

jamesbond007dj/py-data-structures-and-algorithms

ce66faa99f7c7e9c0f9d248a56d78c9ebf069e25

[ "MIT" ]

null

from linked_list import LinkedList # def test_insert(): # ll = LinkedList() # ll.insert(2) # expected = '2' # actual = ll.to_string() # assert actual == expected # def test_include_empty(): # ll = LinkedList() # expected = False # actual = ll.includes(1) # assert actual == expected # def test_include_true(): # ll = LinkedList() # ll.insert(1) # expected = True # actual = ll.includes(1) # assert actual == expected # def test_include_false(): # ll = LinkedList() # ll.insert(1) # expected = False # actual = ll.includes(2) # assert actual == expected # def test_include_three_true(): # ll = LinkedList() # ll.insert(1) # ll.insert(2) # ll.insert(3) # expected = True # actual = ll.includes(2) # assert actual == expected # def test_to_string(): # ll = LinkedList() # ll.insert(1) # expected = '1' # actual = ll.to_string() # assert actual == expected # def test_to_string_empty(): # ll = LinkedList() # expected = '' # actual = ll.to_string() # assert actual == expected # def test_to_string_two(): # ll = LinkedList() # ll.insert(1) # ll.insert(2) # expected = '2 1' # actual = ll.to_string() # assert actual == expected

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8

5c6e0c1e7299c6bc9de553f87e34bf90ec500fd1

804

py

Python

onion/request.py

ksk001100/onion

318429ba6a14da996d02d7c96cbbed18a51f5adc

[ "MIT" ]

null

onion/request.py

ksk001100/onion

318429ba6a14da996d02d7c96cbbed18a51f5adc

[ "MIT" ]

null

onion/request.py

ksk001100/onion

318429ba6a14da996d02d7c96cbbed18a51f5adc

[ "MIT" ]

null

import requests from requests.models import Response from onion.onion import Onion def get(url: str, headers=None, params=None) -> Response: onion = Onion() res = requests.get(url, headers=headers, params=params, proxies=onion.proxies) return res def post(url: str, headers=None, params=None) -> Response: onion = Onion() res = requests.post(url, headers=headers, params=params, proxies=onion.proxies) return res def put(url: str, headers=None, params=None) -> Response: onion = Onion() res = requests.put(url, headers=headers, params=params, proxies=onion.proxies) return res def delete(url: str, headers=None, params=None) -> Response: onion = Onion() res = requests.delete(url, headers=headers, params=params, proxies=onion.proxies) return res

28.714286

85

0.705224

108

804

5.25

0.175926

0.088183

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0.119929

0.813051

0

0.172886

804

27

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false

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0

null

0

1

0

null

0

1

0

7

8ff4f9ba18caefbc03796cb9a3471dae34bc998a

44

py

Python

siapp/blueprints/page/__init__.py

saidulislam/siapp-python-crud-template

4ee8ae8855f703eee36031244341a88f5c8dd2e2

[ "Apache-2.0" ]

null

siapp/blueprints/page/__init__.py

saidulislam/siapp-python-crud-template

4ee8ae8855f703eee36031244341a88f5c8dd2e2

[ "Apache-2.0" ]

null

siapp/blueprints/page/__init__.py

saidulislam/siapp-python-crud-template

4ee8ae8855f703eee36031244341a88f5c8dd2e2

[ "Apache-2.0" ]

null

from siapp.blueprints.page.views import page

44

0.863636

7

44

5.428571

0.857143

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0.068182

44

1

44

0.926829

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null

0

1

0

null

0

1

0

1

0

1

0

7

890b4d6d2150a06ff443196364baa005956ddba7

75

py

Python

src/tftools/__init__.py

tygerlord/tftools

76d636432115cfeae65a454e93500401fad58199

[ "MIT" ]

null

src/tftools/__init__.py

tygerlord/tftools

76d636432115cfeae65a454e93500401fad58199

[ "MIT" ]

null

src/tftools/__init__.py

tygerlord/tftools

76d636432115cfeae65a454e93500401fad58199

[ "MIT" ]

null

from .tftools1 import Model from .tftools1 import VideoImageDataGenerator

18.75

45

0.853333

8

75

8

0.625

0.375

0.5625

0

0.030303

0.12

75

3

46

25

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null

0

1

0

1

0

1

0

7

8f24dd7e6943730fc52d7cb2f5a62771232dd52f

1,561

py

Python

uwupy/security.py

justnat3/uwupy

6f724bdcb16202d353d89f09ce6f2293e6db08f5

[ "MIT" ]

null

uwupy/security.py

justnat3/uwupy

6f724bdcb16202d353d89f09ce6f2293e6db08f5

[ "MIT" ]

2

2020-10-04T13:36:52.000Z

2020-10-04T13:37:31.000Z

uwupy/security.py

justnat3/uwupy

6f724bdcb16202d353d89f09ce6f2293e6db08f5

[ "MIT" ]

null

class Fail_AuthUwU(Exception): """Thrown when when authentication fails Attrs: objName """ def __init__(self, objName, message='sowwy {self.objName} has failed auwthenication..'): self.objName = objName self.message = message super().__init__(message) def __str__(self): return f'{self.objName} -> {self.message}' class UwUNoAccess(Exception): """Thrown when when authentication fails Attrs: objName """ def __init__(self, objName, message='sowwy {self.objName} Can not hit me here..'): self.objName = objName self.message = message super().__init__(message) def __str__(self): return f'{self.objName} -> {self.message}' class UwUMemberAccessException(Exception): """Thrown when when authentication fails Attrs: objName """ def __init__(self, objName, message='sowwy {self.objName} does not have access to this..'): self.objName = objName self.message = message super().__init__(message) def __str__(self): return f'{self.objName} -> {self.message}' class UwUPolicies(Exception): """Thrown when when authentication fails Attrs: objName """ def __init__(self, objName, message='sowwy {self.objName} our powicies do not permit this..'): self.objName = objName self.message = message super().__init__(message) def __str__(self): return f'{self.objName} -> {self.message}'

28.381818

99

0.613069

165

1,561

5.50303

0.236364

0.193833

0.15859

0.101322

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0

0.271621

1,561

54

100

28.907407

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false

0

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null

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1

0

1

0

null

0

1

0

1

0

10

8f40234120f2ae00dc8a3164f9a735844b389119

100

py

Python

pytorch_agents/ppo/__init__.py

AiForAlpha/pytorch_agents

0151b16f0a8cf7131cede83c369cbc728435b3c2

[ "MIT" ]

null

pytorch_agents/ppo/__init__.py

AiForAlpha/pytorch_agents

0151b16f0a8cf7131cede83c369cbc728435b3c2

[ "MIT" ]

null

pytorch_agents/ppo/__init__.py

AiForAlpha/pytorch_agents

0151b16f0a8cf7131cede83c369cbc728435b3c2

[ "MIT" ]

null

from pytorch_agents.ppo.policies import CnnPolicy, MlpPolicy from pytorch_agents.ppo.ppo import PPO

33.333333

60

0.86

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100

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0.533333

0.261905

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0

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100

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true

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null

0

1

0

1

0

1

0

8

8f6d42fd4f47f146dcad433adec9fcfad6bc6a23

5,525

py

Python

fast_mri_view.py

shahryarkhorasani/brats_tumor_segmentation_vnet

85e6a2c745bc09839aef2815c95c5dedab39aacf

[ "MIT" ]

null

fast_mri_view.py

shahryarkhorasani/brats_tumor_segmentation_vnet

85e6a2c745bc09839aef2815c95c5dedab39aacf

[ "MIT" ]

null

fast_mri_view.py

shahryarkhorasani/brats_tumor_segmentation_vnet

85e6a2c745bc09839aef2815c95c5dedab39aacf

[ "MIT" ]

null

import os import numpy as np import nibabel as nib import matplotlib.pyplot as plt def show_slices(scan, x=None, y=None, z=None, size=30): #scan: directory to a nifti file """ Function to display the middle slice in each axis of a scan """ fig, axes = plt.subplots(1, 3, figsize=(size,size)) if type(scan) == str: scan = nib.load(scan) scan = scan.get_fdata() elif type(scan) == np.array: scan = scan if len(scan.shape) == 3: if x: slice_x = scan[x,:,:] else: slice_x = scan[int(scan.shape[0]/2),:,:] if y: slice_y = scan[:,y,:] else: slice_y = scan[:,int(scan.shape[1]/2),:] if z: slice_z = scan[:,:,z] else: slice_z = scan[:,:,int(scan.shape[2]/2)] slices = [slice_x, slice_y, slice_z] for i, slice in enumerate(slices): axes[i].imshow(slice.T, origin="lower") elif len(scan.shape) == 4: if x: slice_x = scan[x,:,:, 0] else: slice_x = scan[int(scan.shape[0]/2),:,:, 0] if y: slice_y = scan[:,y,:, 0] else: slice_y = scan[:,int(scan.shape[1]/2),:, 0] if z: slice_z = scan[:,:,z, 0] else: slice_z = scan[:,:,int(scan.shape[2]/2), 0] slices = [slice_x, slice_y, slice_z] for i, slice in enumerate(slices): axes[i].imshow(slice.T, origin="lower") def show_scan(scan, x=None, y=None, z=None, size=30, save_to=None): #scan: directory to a nifti file """ Function to display the middle slice in each axis of a scan """ fig, axes = plt.subplots(1, 3, figsize=(size,size),sharey=True) if type(scan) == str: scan = nib.load(scan) scan = scan.get_fdata() elif type(scan) == np.array: scan = scan if x: slice_x = scan[x,:,:].T else: slice_x = scan[int(scan.shape[0]/2),:,:] if y: slice_y = scan[:,y,:] else: slice_y = scan[:,int(scan.shape[1]/2),:] if z: slice_z = scan[:,:,z] else: slice_z = scan[:,:,int(scan.shape[2]/2)] slices = [slice_x, slice_y, slice_z] for i, slice in enumerate(slices): axes[i].imshow(slice.T, origin="lower") axes[i].axis('off') plt.tight_layout(pad=0) plt.subplots_adjust(wspace=0.0,hspace=0.0) if save_to: plt.savefig(fname=save_to, quality =90) def show_mask(scan, mask, mask_valu=None, x=None, y=None, z=None, size=30, alpha=.2): """ Function to display a scan and its mask - optional: specific mask_value and/or slices""" fig, axes = plt.subplots(1, 3, figsize=(size,size)) #reading the file if type(scan) == str: scan = nib.load(scan) scan = scan.get_fdata() elif type(scan) == np.array: scan = scan if type(mask) == str: mask = nib.load(mask) mask = mask.get_fdata() elif type(mask) == np.array: mask = mask ### #indexing the scan if len(scan.shape) == 3: if x: slice_x = scan[x,:,:] else: slice_x = scan[int(scan.shape[0]/2),:,:] if y: slice_y = scan[:,y,:] else: slice_y = scan[:,int(scan.shape[1]/2),:] if z: slice_z = scan[:,:,z] else: slice_z = scan[:,:,int(scan.shape[2]/2)] slices = [slice_x, slice_y, slice_z] elif len(scan.shape) == 4: if x: slice_x = scan[x,:,:, 0] else: slice_x = scan[int(scan.shape[0]/2),:,:, 0] if y: slice_y = scan[:,y,:, 0] else: slice_y = scan[:,int(scan.shape[1]/2),:, 0] if z: slice_z = scan[:,:,z, 0] else: slice_z = scan[:,:,int(scan.shape[2]/2), 0] slices = [slice_x, slice_y, slice_z] ### #selecting specific label if mask_valu: mask = np.isin(mask, mask_valu) mask = mask.astype(int) ### #indexing the mask if len(mask.shape) == 3: if x: slice_x = mask[x,:,:] else: slice_x = mask[int(mask.shape[0]/2),:,:] if y: slice_y = mask[:,y,:] else: slice_y = mask[:,int(mask.shape[1]/2),:] if z: slice_z = mask[:,:,z] else: slice_z = mask[:,:,int(mask.shape[2]/2)] slices_mask = [slice_x, slice_y, slice_z] for i, slice in enumerate(slices): axes[i].imshow(slice.T, origin="lower", cmap='gray') for i, slice in enumerate(slices_mask): axes[i].imshow(slice.T, origin="lower", cmap='gnuplot', alpha=alpha) elif len(mask.shape) == 4: if x: slice_x = mask[x,:,:, 0] else: slice_x = mask[int(mask.shape[0]/2),:,:, 0] if y: slice_y = mask[:,y,:, 0] else: slice_y = mask[:,int(mask.shape[1]/2),:, 0] if z: slice_z = mask[:,:,z, 0] else: slice_z = mask[:,:,int(mask.shape[2]/2), 0] slices_mask = [slice_x, slice_y, slice_z] for i, slice in enumerate(slices): axes[i].imshow(slice.T, origin="lower", cmap='gray') for i, slice in enumerate(slices_mask): axes[i].imshow(slice.T, origin="lower", cmap='gnuplot', alpha=alpha)

33.083832

100

0.495747

789

5,525

3.366286

0.119138

0.04744

0.062123

0.090361

0.804593

0.803087

0.775979

0.769202

0.753765

0.658509

0

0.023626

0.341176

5,525

167

101

33.083832

0.706044

0.06371

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0

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0

1

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false

0

0.026846

0

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0

null

0

1

0

1

0

null

0

7

56d316a3f9435615f648638a88909b0af5bacb74

18,823

py

Python

transphire_transform/dump_load/tests/test_util.py

MPI-Dortmund/transphire_transform

4ef249f3806c4aa33215637c9ff869ad91f86bef

[ "MIT" ]

2

2018-08-06T20:07:51.000Z

2019-10-10T04:52:44.000Z

transphire_transform/dump_load/tests/test_util.py

MPI-Dortmund/transphire_transform

4ef249f3806c4aa33215637c9ff869ad91f86bef

[ "MIT" ]

14

2018-08-07T10:02:01.000Z

2021-06-01T22:31:58.000Z

transphire_transform/dump_load/tests/test_util.py

MPI-Dortmund/transphire_transform

4ef249f3806c4aa33215637c9ff869ad91f86bef

[ "MIT" ]

null

""" MIT License Copyright (c) 2018 Max Planck Institute of Molecular Physiology 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. """ import numpy as np import pandas as pd import pytest from .. import util OUTPUT_TEST_FOLDER = 'OUTPUT_TESTS_LOAD_DUMP_UTIL' class TestCreateHeader: def test_create_header_list(self): """ """ header = ['a', 'b', 'c', 'd'] header_out = ['_a', '_b', '_c', '_d'] assert util.create_header(names=header, index=False, prefix='') == header_out def test_create_header_index_list(self): """ """ header = ['a', 'b', 'c', 'd'] header_out = ['_a #1', '_b #2', '_c #3', '_d #4'] assert util.create_header(names=header, index=True, prefix='') == header_out def test_create_header_array(self): """ """ header = np.array(['a', 'b', 'c', 'd'], dtype=str) header_out = ['_a', '_b', '_c', '_d'] assert util.create_header(names=header, index=False, prefix='') == header_out def test_create_header_index_array(self): """ """ header = np.array(['a', 'b', 'c', 'd'], dtype=str) header_out = ['_a #1', '_b #2', '_c #3', '_d #4'] assert util.create_header(names=header, index=True, prefix='') == header_out def test_create_header_array_prefix(self): """ """ header = np.array(['a', 'b', 'c', 'd'], dtype=str) header_out = ['_testa', '_testb', '_testc', '_testd'] assert util.create_header(names=header, index=False, prefix='test') == header_out def test_create_header_index_array_prefix(self): """ """ header = np.array(['a', 'b', 'c', 'd'], dtype=str) header_out = ['_testa #1', '_testb #2', '_testc #3', '_testd #4'] assert util.create_header(names=header, index=True, prefix='test') == header_out def test_create_header_array_empty(self): """ """ header = np.array([], dtype=str) with pytest.raises(IOError): util.create_header(names=header, index=True, prefix='') def test_create_header_list_empty(self): """ """ header = [] with pytest.raises(IOError): util.create_header(names=header, index=True, prefix='') class TestDumpFile: def test_dump_file_empty(self, tmpdir): """ """ data = pd.DataFrame({ }) output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_dump_file_empty') with pytest.raises(IOError): util.dump_file( file_name=output_file, data=data, header=None, vertical=True, ) def test_dump_file_four(self, tmpdir): """ """ data_1 = np.arange(4) data_2 = ['a', 'b', 'c', 'd'] data_3 = np.array(np.arange(4), dtype=float) data_4 = [1]*4 data = pd.DataFrame({ '_rlnTest1': data_1, '_rlnTest2': data_2, '_rlnTest3': data_3, '_pipeTest4': data_4, }) output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_dump_file_four') util.dump_file( file_name=output_file, data=data, header=None, vertical=True, ) load_data = util.load_file(file_name=output_file) assert np.array_equal(load_data.values, data.values) def test_dump_file_single(self, tmpdir): """ """ data_1 = np.arange(4) data = pd.DataFrame({ '_rlnTest1': data_1, }) output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_dump_file_single') util.dump_file( file_name=output_file, data=data, header=None, vertical=True, ) load_data = util.load_file(file_name=output_file) assert np.array_equal(load_data.values, data.values) def test_dump_file_four_hor(self, tmpdir): """ """ data_1 = np.arange(4) data_2 = ['a', 'b', 'c', 'd'] data_3 = np.array(np.arange(4), dtype=float) data_4 = [1]*4 data = pd.DataFrame({ '_rlnTest1': data_1, '_rlnTest2': data_2, '_rlnTest3': data_3, '_pipeTest4': data_4, }) output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_dump_file_four_hor') util.dump_file( file_name=output_file, data=data, header=None, vertical=False, ) load_data = util.load_file(file_name=output_file) assert np.array_equal(load_data.values, data.values) def test_dump_file_single_hor(self, tmpdir): """ """ data_1 = np.arange(4) data = pd.DataFrame({ '_rlnTest1': data_1, }) output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_dump_file_single_hor') util.dump_file( file_name=output_file, data=data, header=None, vertical=False, ) load_data = util.load_file(file_name=output_file) assert np.array_equal(load_data.values, data.values) def test_dump_file_four_header(self, tmpdir): """ """ data_1 = np.arange(4) data_2 = ['a', 'b', 'c', 'd'] data_3 = np.array(np.arange(4), dtype=float) data_4 = [1]*4 data = pd.DataFrame({ '_rlnTest1': data_1, '_rlnTest2': data_2, '_rlnTest3': data_3, '_pipeTest4': data_4, }) output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_dump_file_four') util.dump_file( file_name=output_file, data=data, header=data.keys(), vertical=True, ) assert util.load_file(file_name=output_file, names=data.keys(), skiprows=4).equals(data) def test_dump_file_single_header(self, tmpdir): """ """ data_1 = np.arange(4) data = pd.DataFrame({ '_rlnTest1': data_1, }) output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_dump_file_single') util.dump_file( file_name=output_file, data=data, header=data.keys(), vertical=True, ) assert util.load_file(file_name=output_file, names=data.keys(), skiprows=1).equals(data) def test_dump_file_four_hor_header(self, tmpdir): """ """ data_1 = np.arange(4) data_2 = ['a', 'b', 'c', 'd'] data_3 = np.array(np.arange(4), dtype=float) data_4 = [1]*4 data = pd.DataFrame({ '_rlnTest1': data_1, '_rlnTest2': data_2, '_rlnTest3': data_3, '_pipeTest4': data_4, }) output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_dump_file_four_hor') util.dump_file( file_name=output_file, data=data, header=None, vertical=False, ) util.dump_file( file_name=output_file, data=data, header=data.keys(), vertical=False, ) assert util.load_file(file_name=output_file, names=data.keys(), skiprows=1).equals(data) def test_dump_file_single_hor_header(self, tmpdir): """ """ data_1 = np.arange(4) data = pd.DataFrame({ '_rlnTest1': data_1, }) output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_dump_file_single_hor') util.dump_file( file_name=output_file, data=data, header=None, vertical=False, ) util.dump_file( file_name=output_file, data=data, header=data.keys(), vertical=False, ) assert util.load_file(file_name=output_file, names=data.keys(), skiprows=1).equals(data) class TestImportKeys: def test_import_keys_filled_file_should_work(self, tmpdir): """ """ output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_import_keys_filled_file_should_work') keys = ('test_a', 'test_b', 'test_c') suffix = ('test', 'test2', 'test3') with open(output_file, 'w') as w: for key, suf in zip(keys, suffix): w.write(f'{key} # {suf}\n') imported_keys = util.import_keys(output_file) assert keys == imported_keys def test_import_keys_filled_file_multi_hastag_should_work(self, tmpdir): """ """ output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_import_keys_filled_file_multi_hastag_should_work') keys = ('test_a', 'test_b', 'test_c') suffix = ('test', 'test2', 'test3') with open(output_file, 'w') as w: for key, suf in zip(keys, suffix): w.write(f'{key} # TEST1 # {suf}\n') imported_keys = util.import_keys(output_file) assert keys == imported_keys def test_import_keys_empty_file_should_work(self, tmpdir): """ """ output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_import_keys_empty_file_should_work') keys = () suffix = () with open(output_file, 'w') as w: pass imported_keys = util.import_keys(output_file) assert keys == imported_keys def test_import_keys_contains_whitespace_should_raise_AssertError(self, tmpdir): """ """ output_file: str = tmpdir.mkdir(OUTPUT_TEST_FOLDER).join('test_import_keys_contains_whitespace_should_raise_AssertError') keys = () suffix = () keys = ('test_a', 'test_b', 'test_c') suffix = ('test', 'test2', 'test3') with open(output_file, 'w') as w: for key, suf in zip(keys, suffix): w.write(f'{key} TEST1 # {suf}\n') with pytest.raises(AssertionError): util.import_keys(output_file) class TestParseKeysToDict: def test_input_unspecified_to_output(self): data = ('test',) data_output = {'test': 'test'} data_return = util.parse_keys_to_dict(data) assert data_output == data_return def test_input_unspecified_export_to_output(self): data = ('test',) data_output = {'test': 'test'} data_return = util.parse_keys_to_dict(data, True) assert data_output == data_return def test_input_specified_to_output(self): data = ('test:test2',) data_output = {'test': 'test2'} data_return = util.parse_keys_to_dict(data) assert data_output == data_return def test_input_specified_export_to_output(self): data = ('test:test2',) data_output = {'test2': 'test'} data_return = util.parse_keys_to_dict(data, True) assert data_output == data_return class TestAddToDict(): def test_new_key_should_return_filled_dict(self): data_dict = {} key = 'a' value = 'b' util.add_to_dict(data_dict, key, value) assert data_dict == {'a': 'b'} def test_new_key_int_should_return_filled_dict(self): data_dict = {} key = 'a' value = 1 util.add_to_dict(data_dict, key, value) assert data_dict == {'a': 1} def test_double_key_should_attributeerror(self): data_dict = {'a': 'c'} key = 'a' value = 'b' with pytest.raises(AttributeError): util.add_to_dict(data_dict, key, value) class TestExtractFunctionFromFunctionDict: def dummy_function_1(self): # pragma: no cover pass def dummy_function_2(self): # pragma: no cover pass def dummy_function_3(self): # pragma: no cover pass def test_empty_version_ordered_should_return_dummy_function_3(self): func_dict = { '0.0.4': self.dummy_function_1, '1.1.2': self.dummy_function_2, '2.2.5': self.dummy_function_3, } assert self.dummy_function_3 == util.extract_function_from_function_dict(func_dict) def test_empty_version_unordered_should_return_dummy_function_3(self): func_dict = { '1.1.2': self.dummy_function_2, '2.2.5': self.dummy_function_3, '0.0.4': self.dummy_function_1, } assert self.dummy_function_3 == util.extract_function_from_function_dict(func_dict) def test_version_225_ordered_should_return_dummy_function_3(self): func_dict = { '0.0.4': self.dummy_function_1, '1.1.2': self.dummy_function_2, '2.2.5': self.dummy_function_3, } assert self.dummy_function_3 == util.extract_function_from_function_dict(func_dict, '2.2.5') def test_version_326_ordered_should_return_dummy_function_3(self): func_dict = { '0.0.4': self.dummy_function_1, '1.1.2': self.dummy_function_2, '2.2.5': self.dummy_function_3, } assert self.dummy_function_3 == util.extract_function_from_function_dict(func_dict, '3.2.6') def test_version_112_ordered_should_return_dummy_function_2(self): func_dict = { '0.0.4': self.dummy_function_1, '1.1.2': self.dummy_function_2, '2.2.5': self.dummy_function_3, } assert self.dummy_function_2 == util.extract_function_from_function_dict(func_dict, '1.1.2') def test_version_122_ordered_should_return_dummy_function_2(self): func_dict = { '0.0.4': self.dummy_function_1, '1.1.2': self.dummy_function_2, '2.2.5': self.dummy_function_3, } assert self.dummy_function_2 == util.extract_function_from_function_dict(func_dict, '1.2.2') def test_version_004_ordered_should_return_dummy_function_1(self): func_dict = { '0.0.4': self.dummy_function_1, '1.1.2': self.dummy_function_2, '2.2.5': self.dummy_function_3, } assert self.dummy_function_1 == util.extract_function_from_function_dict(func_dict, '0.0.4') def test_version_005_ordered_should_return_dummy_function_1(self): func_dict = { '0.0.4': self.dummy_function_1, '1.1.2': self.dummy_function_2, '2.2.5': self.dummy_function_3, } assert self.dummy_function_1 == util.extract_function_from_function_dict(func_dict, '0.0.5') def test_version_225_unordered_should_return_dummy_function_3(self): func_dict = { '0.0.4': self.dummy_function_1, '2.2.5': self.dummy_function_3, '1.1.2': self.dummy_function_2, } assert self.dummy_function_3 == util.extract_function_from_function_dict(func_dict, '2.2.5') def test_version_326_unordered_should_return_dummy_function_3(self): func_dict = { '0.0.4': self.dummy_function_1, '2.2.5': self.dummy_function_3, '1.1.2': self.dummy_function_2, } assert self.dummy_function_3 == util.extract_function_from_function_dict(func_dict, '3.2.6') def test_version_112_unordered_should_return_dummy_function_2(self): func_dict = { '0.0.4': self.dummy_function_1, '2.2.5': self.dummy_function_3, '1.1.2': self.dummy_function_2, } assert self.dummy_function_2 == util.extract_function_from_function_dict(func_dict, '1.1.2') def test_version_122_unordered_should_return_dummy_function_2(self): func_dict = { '0.0.4': self.dummy_function_1, '2.2.5': self.dummy_function_3, '1.1.2': self.dummy_function_2, } assert self.dummy_function_2 == util.extract_function_from_function_dict(func_dict, '1.2.2') def test_version_004_unordered_should_return_dummy_function_1(self): func_dict = { '0.0.4': self.dummy_function_1, '2.2.5': self.dummy_function_3, '1.1.2': self.dummy_function_2, } assert self.dummy_function_1 == util.extract_function_from_function_dict(func_dict, '0.0.4') def test_version_005_unordered_should_return_dummy_function_1(self): func_dict = { '0.0.4': self.dummy_function_1, '2.2.5': self.dummy_function_3, '1.1.2': self.dummy_function_2, } assert self.dummy_function_1 == util.extract_function_from_function_dict(func_dict, '0.0.5') def test_version_003_unordered_should_raise_AssertionError(self): func_dict = { '0.0.4': self.dummy_function_1, '2.2.5': self.dummy_function_3, '1.1.2': self.dummy_function_2, } with pytest.raises(AssertionError): util.extract_function_from_function_dict(func_dict, '0.0.3') def test_version_unequal_format_raises_AssertionError(self): func_dict = { '0.0.4': self.dummy_function_1, '2.2.5': self.dummy_function_3, '1.1.2': self.dummy_function_2, } with pytest.raises(AssertionError): util.extract_function_from_function_dict(func_dict, '1.0') def test_version_unequal_format_in_keys_raises_AssertionError(self): func_dict = { '0.0': self.dummy_function_1, '2.2.5': self.dummy_function_3, '1.1.2': self.dummy_function_2, } with pytest.raises(AssertionError): util.extract_function_from_function_dict(func_dict, '1.0.1')

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710707b4768e4d919c9fde2f8f1c6bbaa1acedf9

140

py

Python

tests/test_import.py

buzzjmd/keld-python-cli

2ec461c0489520c7c59ddb72d8157f99703eff6d

[ "BSD-3-Clause" ]

1

2018-02-14T15:08:24.000Z

tests/test_import.py

buzzjmd/keld-python-cli

2ec461c0489520c7c59ddb72d8157f99703eff6d

[ "BSD-3-Clause" ]

null

tests/test_import.py

buzzjmd/keld-python-cli

2ec461c0489520c7c59ddb72d8157f99703eff6d

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import keldcli def test_import(): assert keldcli assert keldcli.__title__ assert keldcli.__version__

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8,911

py

Python

Testing.py

evanxia1018/CSE539_Project_LLE

881ea2278c39c16716e5de83dd8abbd267806a35

[ "MIT" ]

2

2019-11-10T02:04:52.000Z

2020-04-19T03:51:51.000Z

Testing.py

SarahLynnePu/CSE539_Project_LLE

881ea2278c39c16716e5de83dd8abbd267806a35

[ "MIT" ]

null

Testing.py

SarahLynnePu/CSE539_Project_LLE

881ea2278c39c16716e5de83dd8abbd267806a35

[ "MIT" ]

3

2017-12-28T14:09:24.000Z

2020-04-19T04:25:03.000Z

import Dataset_Generator as dg import Evaluation as eval import Plot_Graph as ploter hd_dataset = dg.get_hd_dataset(5000) reduced_hd = eval.pca_dim_reduction(hd_dataset, 3) ploter.plot3D(reduced_hd) broken_swiss_roll_dataset = dg.get_broken_swiss_roll_dataset(5000) ploter.plot3D(broken_swiss_roll_dataset) reduced_broken_swiss = eval.pca_dim_reduction(broken_swiss_roll_dataset, 2) ploter.plot2D(reduced_broken_swiss) broken_helix_dataset = dg.get_helix_dataset(5000) ploter.plot3D(broken_helix_dataset) reduced_helix = eval.pca_dim_reduction(broken_helix_dataset, 2) ploter.plot2D(reduced_helix) swiss_roll_dataset = dg.get_swiss_roll_dataset(5000) ploter.plot3D(swiss_roll_dataset) reduced_swiss = eval.pca_dim_reduction(swiss_roll_dataset, 2) ploter.plot2D(reduced_swiss) twin_peaks_dataset = dg.get_twin_peaks(5000) ploter.plot3D(twin_peaks_dataset) reduced_twin_peaks = eval.pca_dim_reduction(twin_peaks_dataset, 2) ploter.plot2D(reduced_twin_peaks) # ***********************************scripts to evaluate Trust # Swiss roll import Dataset_Generator as dg import Evaluation as eval dataset = dg.get_swiss_roll_dataset(5000) reduced_dataset = eval.pca_dim_reduction(dataset, 2) trust = eval.get_trustworthiness(reduced_dataset, dataset, 12) # Helix import Dataset_Generator as dg import Evaluation as eval dataset = dg.get_helix_dataset(5000) reduced_dataset = eval.pca_dim_reduction(dataset, 1) trust = eval.get_trustworthiness(reduced_dataset, dataset, 12) # Twin peaks import Dataset_Generator as dg import Evaluation as eval dataset = dg.get_twin_peaks(5000) reduced_dataset = eval.pca_dim_reduction(dataset, 2) trust = eval.get_trustworthiness(reduced_dataset, dataset, 12) # Broken Swiss import Dataset_Generator as dg import Evaluation as eval dataset = dg.get_broken_swiss_roll_dataset(5000) reduced_dataset = eval.pca_dim_reduction(dataset, 2) trust = eval.get_trustworthiness(reduced_dataset, dataset, 12) # HD import Dataset_Generator as dg import Evaluation as eval dataset = dg.get_hd_dataset(5000) reduced_dataset = eval.pca_dim_reduction(dataset, 5) trust = eval.get_trustworthiness(reduced_dataset, dataset, 12) # ***********************************scripts to evaluate Continuity # Swiss roll import Dataset_Generator as dg import Evaluation as eval dataset = dg.get_swiss_roll_dataset(5000) reduced_dataset = eval.pca_dim_reduction(dataset, 2) continuity = eval.get_continuity(reduced_dataset, dataset, 12) # Helix import Dataset_Generator as dg import Evaluation as eval dataset = dg.get_helix_dataset(5000) reduced_dataset = eval.pca_dim_reduction(dataset, 1) continuity = eval.get_continuity(reduced_dataset, dataset, 12) # Twin peaks import Dataset_Generator as dg import Evaluation as eval dataset = dg.get_twin_peaks(5000) reduced_dataset = eval.pca_dim_reduction(dataset, 2) continuity = eval.get_continuity(reduced_dataset, dataset, 12) # Broken Swiss import Dataset_Generator as dg import Evaluation as eval dataset = dg.get_broken_swiss_roll_dataset(5000) reduced_dataset = eval.pca_dim_reduction(dataset, 2) continuity = eval.get_continuity(reduced_dataset, dataset, 12) # HD import Dataset_Generator as dg import Evaluation as eval dataset = dg.get_hd_dataset(5000) reduced_dataset = eval.pca_dim_reduction(dataset, 5) continuity = eval.get_continuity(reduced_dataset, dataset, 12) # ***********************************scripts to test label_generation and generalization error import Dataset_Generator as dg import Evaluation as eval dataset = dg.get_broken_swiss_roll_dataset(5000) labels = eval.get_artificial_dataset_labels(dataset) reduced_dataset = eval.pca_dim_reduction(dataset, 2) error = eval.get_generalization_error(reduced_dataset, dataset) # ***********************************scripts to read MNIST from mnist import MNIST mndata = MNIST('/Users/evanxia/Dropbox/CSE569/MNIST_dataset') images, labels = mndata.load_training() # ***********************************scripts to test Trustworthiness and continuity in Natural dataset using LLE # MNIST import Evaluation as eval import MyLLE as lle import numpy as np dataset, labels = eval.get_natural_dataset_samples() reduced_dataset, error = lle.locally_linear_embedding(np.array(dataset, np.float64), 5, 20) reduced_dataset = reduced_dataset.tolist() trust = eval.get_trustworthiness(reduced_dataset, dataset, 12) continuity = eval.get_continuity(reduced_dataset, dataset, 12) # ***********************************scripts to test Trustworthiness and continuity in artificial dataset using LLE # Swiss roll import Dataset_Generator as dg import Evaluation as eval import MyLLE as lle import numpy as np dataset = dg.get_swiss_roll_dataset(5000) reduced_dataset, error = lle.locally_linear_embedding(np.array(dataset, np.float64), 5, 2) reduced_dataset = reduced_dataset.tolist() trust = eval.get_trustworthiness(reduced_dataset, dataset, 12) continuity = eval.get_continuity(reduced_dataset, dataset, 12) # Helix import Dataset_Generator as dg import Evaluation as eval import MyLLE as lle import numpy as np dataset = dg.get_helix_dataset(5000) reduced_dataset, error = lle.locally_linear_embedding(np.array(dataset, np.float64), 5, 1) reduced_dataset = reduced_dataset.tolist() trust = eval.get_trustworthiness(reduced_dataset, dataset, 12) continuity = eval.get_continuity(reduced_dataset, dataset, 12) # Twin peaks import Dataset_Generator as dg import Evaluation as eval import MyLLE as lle import numpy as np dataset = dg.get_twin_peaks(5000) reduced_dataset, error = lle.locally_linear_embedding(np.array(dataset, np.float64), 5, 2) reduced_dataset = reduced_dataset.tolist() trust = eval.get_trustworthiness(reduced_dataset, dataset, 12) continuity = eval.get_continuity(reduced_dataset, dataset, 12) # Broken Swiss import Dataset_Generator as dg import Evaluation as eval import MyLLE as lle import numpy as np dataset = dg.get_broken_swiss_roll_dataset(5000) reduced_dataset, error = lle.locally_linear_embedding(np.array(dataset, np.float64), 5, 2) reduced_dataset = reduced_dataset.tolist() trust = eval.get_trustworthiness(reduced_dataset, dataset, 12) continuity = eval.get_continuity(reduced_dataset, dataset, 12) # HD import Dataset_Generator as dg import Evaluation as eval import MyLLE as lle import numpy as np dataset = dg.get_hd_dataset(5000) reduced_dataset, error = lle.locally_linear_embedding(np.array(dataset, np.float64), 5, 5) reduced_dataset = reduced_dataset.tolist() trust = eval.get_trustworthiness(reduced_dataset, dataset, 12) continuity = eval.get_continuity(reduced_dataset, dataset, 12) # Following code evaluate the generalization error of original datasets import time import Evaluation as evaluation import pickle original_datasets = pickle.load(open('original_datasets.p', 'rb')) datasets_labels = pickle.load(open('datasets_labels.p', 'rb')) for key in original_datasets: name = key error = evaluation.get_generalization_error(original_datasets[key], datasets_labels[key]) print("The Generalization Error of the " + name + " is: " + str(error)) # Plot all original datasets with labels import time import Evaluation as evaluation import pickle import Plot_Graph as pg original_datasets = pickle.load(open('original_datasets.p', 'rb')) datasets_labels = pickle.load(open('datasets_labels.p', 'rb')) pca_reduced_datasets = pickle.load(open('pca_reduced_datasets.p', 'rb')) lle_reduced_datasets_under_diff_k = pickle.load(open('lle_reduced_datasets_under_diff_k.p', 'rb')) for key in original_datasets: pg.plot3D_color(original_datasets[key], datasets_labels[key]) # Plot lle_reduced datasets with k == 12 import time import Evaluation as evaluation import pickle import Plot_Graph as pg original_datasets = pickle.load(open('original_datasets.p', 'rb')) datasets_labels = pickle.load(open('datasets_labels.p', 'rb')) pca_reduced_datasets = pickle.load(open('pca_reduced_datasets.p', 'rb')) lle_reduced_datasets_under_diff_k = pickle.load(open('lle_reduced_datasets_under_diff_k.p', 'rb')) k = 9 for key in lle_reduced_datasets_under_diff_k[k - 5]: print(key) if key == "helix": pg.plot1D_color(lle_reduced_datasets_under_diff_k[k - 5][key], datasets_labels[key]) else: pg.plot2D_color(lle_reduced_datasets_under_diff_k[k - 5][key], datasets_labels[key]) # Plot pca_reduced datasets import time import Evaluation as evaluation import pickle import Plot_Graph as pg original_datasets = pickle.load(open('original_datasets.p', 'rb')) datasets_labels = pickle.load(open('datasets_labels.p', 'rb')) pca_reduced_datasets = pickle.load(open('pca_reduced_datasets.p', 'rb')) lle_reduced_datasets_under_diff_k = pickle.load(open('lle_reduced_datasets_under_diff_k.p', 'rb')) for key in pca_reduced_datasets: print(key) if key == "helix": pg.plot1D_color(pca_reduced_datasets[key], datasets_labels[key]) else: pg.plot2D_color(pca_reduced_datasets[key], datasets_labels[key])

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8

f17ef4b919c5bc807194347348620f112a9b7c65

18,334

py

Python

ncem/models/layers/output_layers.py

theislab/ncem

cd0ea2e9de8e1815e1f1f4139c62b4f33979f9ca

[ "BSD-3-Clause" ]

37

2021-07-02T11:40:26.000Z

2022-03-25T20:17:03.000Z

ncem/models/layers/output_layers.py

theislab/ncem

cd0ea2e9de8e1815e1f1f4139c62b4f33979f9ca

[ "BSD-3-Clause" ]

61

2021-07-06T08:30:59.000Z

2022-03-31T05:16:41.000Z

ncem/models/layers/output_layers.py

theislab/ncem

cd0ea2e9de8e1815e1f1f4139c62b4f33979f9ca

[ "BSD-3-Clause" ]

1

2022-01-28T13:36:54.000Z

import tensorflow as tf IDENTIFIER_OUTPUT_LAYER = "Output" def get_out(output_layer: str, out_feature_dim, scale_node_size, name: str = 'decoder'): if output_layer == "gaussian": output_decoder_layer = GaussianOutput( original_dim=out_feature_dim, use_node_scale=scale_node_size, name=f"Gaussian{IDENTIFIER_OUTPUT_LAYER}_{name}", ) elif output_layer == "nb": output_decoder_layer = NegBinOutput( original_dim=out_feature_dim, use_node_scale=scale_node_size, name=f"NegBin{IDENTIFIER_OUTPUT_LAYER}_{name}", ) elif output_layer == "nb_shared_disp": output_decoder_layer = NegBinSharedDispOutput( original_dim=out_feature_dim, use_node_scale=scale_node_size, name=f"NegBinSharedDisp{IDENTIFIER_OUTPUT_LAYER}_{name}", ) elif output_layer == "nb_const_disp": output_decoder_layer = NegBinConstDispOutput( original_dim=out_feature_dim, use_node_scale=scale_node_size, name=f"NegBinConstDisp{IDENTIFIER_OUTPUT_LAYER}_{name}", ) else: raise ValueError("tried to access a non-supported output layer %s" % output_layer) return output_decoder_layer class LinearOutput(tf.keras.layers.Layer): """Linear output layer.""" def __init__(self, use_node_scale: bool = False, name: str = "linear_output", **kwargs): """Initialize LinearOutput. Parameters ---------- use_node_scale : bool Use node scale. name : str Layer name. kwargs Arbitrary keyword arguments. """ super().__init__(name=name, **kwargs) self.use_node_scale = use_node_scale self.var_bias = None def get_config(self): """Get config LinearOutput. Returns ------- config """ config = super().get_config().copy() config.update({"original_dim": self.original_dim, "use_node_scale": self.use_node_scale}) return config def build(self, input_shapes): """Build LinearOutput layer. Parameters ---------- input_shapes Input shapes. """ genes_dim = input_shapes[0][-1] self.var_bias = self.add_weight("var_bias", shape=[1, genes_dim], initializer="zeros") def call(self, inputs, **kwargs): """Call LinearOutput layer. Parameters ---------- inputs Inputs. kwargs Arbitrary keyword arguments. Returns ------- eta_loc eta_scale """ bound = 60.0 mean, sf = inputs var = self.var_bias if self.use_node_scale: mean = mean * tf.clip_by_value(sf, tf.exp(-bound), tf.exp(bound), "decoder_sf_clip") var = tf.zeros_like(mean) + var # broadcast # clip to log of largest values supported by log operation mean_clip = tf.clip_by_value(mean, -tf.exp(bound), tf.exp(bound), "decoder_clip") var_clip = tf.clip_by_value(var, -bound, bound, "decoder_clip") # exp_mean = mean_clip + sf eta_loc = mean_clip eta_scale = tf.exp(var_clip) return [eta_loc, eta_scale] class LinearConstDispOutput(tf.keras.layers.Layer): """Linear output layer with constant dispersion.""" def __init__(self, use_node_scale: bool = False, name: str = "linear_const_disp_output", **kwargs): """Initialize LinearConstDispOutput. Parameters ---------- use_node_scale : bool Use node scale. name : str Layer name. kwargs Arbitrary keyword arguments. """ super().__init__(name=name, **kwargs) self.use_node_scale = use_node_scale self.var_bias = None def get_config(self): """Get config LinearConstDispOutput. Returns ------- config """ config = super().get_config().copy() config.update({"original_dim": self.original_dim, "use_node_scale": self.use_node_scale}) return config def call(self, inputs, **kwargs): """Call LinearConstDispOutput layer. Parameters ---------- inputs Inputs. kwargs Arbitrary keyword arguments. Returns ------- eta_loc eta_scale """ bound = 60.0 mean, sf = inputs var = tf.zeros_like(mean) if self.use_node_scale: mean = mean * tf.clip_by_value(sf, tf.exp(-bound), tf.exp(bound), "decoder_sf_clip") var = tf.zeros_like(mean) + var # clip to log of largest values supported by log operation mean_clip = tf.clip_by_value(mean, -tf.exp(bound), tf.exp(bound), "decoder_clip") var_clip = tf.clip_by_value(var, -bound, bound, "decoder_clip") # exp_mean = mean_clip + sf eta_loc = mean_clip eta_scale = tf.exp(var_clip) return [eta_loc, eta_scale] class GaussianOutput(tf.keras.layers.Layer): """Log normal likelihood output layer.""" def __init__(self, original_dim=None, use_node_scale: bool = False, name: str = "gaussian_output", **kwargs): """Initialize GaussianOutput. Parameters ---------- original_dim original dimension. use_node_scale : bool Use node scale. name : str Layer name. kwargs Arbitrary keyword arguments. """ super().__init__(name=name, **kwargs) self.original_dim = original_dim self.intermediate_dim = None self.use_node_scale = use_node_scale self.means = None self.var_bias = None def get_config(self): """Get config GaussianOutput. Returns ------- config """ config = super().get_config().copy() config.update({"original_dim": self.original_dim, "use_node_scale": self.use_node_scale}) return config def build(self, input_shapes): """Build GaussianOutput layer. Parameters ---------- input_shapes Input shapes. """ input_shape = input_shapes[0] self.intermediate_dim = input_shape[2] self.means = tf.keras.layers.Dense(units=self.original_dim, use_bias=True, activation="linear") self.var_bias = self.add_weight("var_bias", shape=[1, self.original_dim], initializer="zeros") def call(self, inputs, **kwargs): """Call GaussianOutput layer. Parameters ---------- inputs Inputs. kwargs Arbitrary keyword arguments. Returns ------- eta_loc eta_scale """ bound = 60.0 activation, sf = inputs in_node_dim = activation.shape[1] activation = tf.reshape(activation, [-1, self.intermediate_dim], name="output_layer_reshape_activation_fwdpass") mean = self.means(activation) var = self.var_bias mean = tf.reshape(mean, [-1, in_node_dim, self.original_dim], name="output_layer_reshape_mean") var = tf.zeros_like(mean) + var # broadcast if self.use_node_scale: mean = mean * tf.clip_by_value(sf, tf.exp(-bound), tf.exp(bound), "decoder_sf_clip") # clip to log of largest values supported by log operation mean_clip = tf.clip_by_value(mean, -tf.exp(bound), tf.exp(bound), "decoder_clip") var_clip = tf.clip_by_value(var, -bound, bound, "decoder_clip") # exp_mean = mean_clip + sf eta_loc = mean_clip eta_scale = tf.exp(var_clip) return [eta_loc, eta_scale] class GaussianConstDispOutput(tf.keras.layers.Layer): """Log normal likelihood output layer.""" def __init__(self, original_dim=None, use_node_scale: bool = False, name: str = "gaussian_output", **kwargs): """Initialize GaussianConstDispOutput. Parameters ---------- original_dim original dimension. use_node_scale : bool Use node scale. name : str Layer name. kwargs Arbitrary keyword arguments. """ super().__init__(name=name, **kwargs) self.original_dim = original_dim self.intermediate_dim = None self.use_node_scale = use_node_scale self.means = None def get_config(self): """Get config GaussianConstDispOutput. Returns ------- config """ config = super().get_config().copy() config.update({"original_dim": self.original_dim, "use_node_scale": self.use_node_scale}) return config def build(self, input_shapes): """Build GaussianConstDispOutput layer. Parameters ---------- input_shapes Input shapes. """ input_shape = input_shapes[0] self.intermediate_dim = input_shape[2] self.means = tf.keras.layers.Dense(units=self.original_dim, use_bias=True, activation="linear") def call(self, inputs, **kwargs): """Call GaussianConstDispOutput layer. Parameters ---------- inputs Inputs. kwargs Arbitrary keyword arguments. Returns ------- eta_loc eta_scale """ bound = 60.0 activation, sf = inputs in_node_dim = activation.shape[1] activation = tf.reshape(activation, [-1, self.intermediate_dim], name="output_layer_reshape_activation_fwdpass") mean = self.means(activation) mean = tf.reshape(mean, [-1, in_node_dim, self.original_dim], name="output_layer_reshape_mean") var = tf.zeros_like(mean) if self.use_node_scale: mean = mean * tf.clip_by_value(sf, tf.exp(-bound), tf.exp(bound), "decoder_sf_clip") # clip to log of largest values supported by log operation mean_clip = tf.clip_by_value(mean, -tf.exp(bound), tf.exp(bound), "decoder_clip") var_clip = tf.clip_by_value(var, -bound, bound, "decoder_clip") # exp_mean = mean_clip + sf eta_loc = mean_clip eta_scale = tf.exp(var_clip) return [eta_loc, eta_scale] class NegBinOutput(tf.keras.layers.Layer): """Negative binomial output layer.""" def __init__(self, original_dim=None, use_node_scale: bool = False, name: str = "neg_bin_output", **kwargs): """Initialize NegBinOutput. Parameters ---------- original_dim original dimension. use_node_scale : bool Use node scale. name : str Layer name. kwargs Arbitrary keyword arguments. """ super().__init__(name=name, **kwargs) self.original_dim = original_dim self.intermediate_dim = None self.use_node_scale = use_node_scale self.means = None self.var = None def get_config(self): """Get config NegBinOutput. Returns ------- config """ config = super().get_config().copy() config.update({"original_dim": self.original_dim, "use_node_scale": self.use_node_scale}) return config def build(self, input_shapes): """Build NegBinOutput layer. Parameters ---------- input_shapes Input shapes. """ input_shape = input_shapes[0] self.intermediate_dim = input_shape[2] self.means = tf.keras.layers.Dense(units=self.original_dim, use_bias=True, activation="linear") self.var = tf.keras.layers.Dense(units=self.original_dim, use_bias=True, activation="linear") def call(self, inputs, **kwargs): """Call NegBinOutput. Parameters ---------- inputs Inputs. kwargs Arbitrary keyword arguments. Returns ------- exp_mean exp_var """ bound = 60.0 activation, sf = inputs activation = tf.reshape(activation, [-1, self.intermediate_dim], name="output_layer_reshape_activation_fwdpass") mean = self.means(activation) var = self.var(activation) if self.use_node_scale: mean = mean + tf.math.log(tf.clip_by_value(sf, tf.exp(-bound), tf.exp(bound), "decoder_sf_clip")) # clip to log of largest values supported by log operation mean_clip = tf.clip_by_value(mean, -bound, bound, "decoder_clip") var_clip = tf.clip_by_value(var, -bound, bound, "decoder_clip") exp_mean = tf.exp(mean_clip) exp_var = tf.exp(var_clip) return [exp_mean, exp_var] class NegBinSharedDispOutput(tf.keras.layers.Layer): """Negative binomial output layer with dispersion shared over features.""" def __init__( self, original_dim=None, use_node_scale: bool = False, name: str = "neg_bin_shared_disp_output", **kwargs ): """Initialize NegBinSharedDispOutput. Parameters ---------- original_dim original dimension. use_node_scale : bool Use node scale. name : str Layer name. kwargs Arbitrary keyword arguments. """ super().__init__(name=name, **kwargs) self.original_dim = original_dim self.intermediate_dim = None self.use_node_scale = use_node_scale self.means = None self.var = None self.var_bias = None def get_config(self): """Get config NegBinSharedDispOutput. Returns ------- config """ config = super().get_config().copy() config.update({"original_dim": self.original_dim, "use_node_scale": self.use_node_scale}) return config def build(self, input_shapes): """Build NegBinSharedDispOutput layer. Parameters ---------- input_shapes Input shapes. """ input_shape = input_shapes[0] self.intermediate_dim = input_shape[2] self.means = tf.keras.layers.Dense(units=self.original_dim, use_bias=True, activation="linear") self.var_bias = self.add_weight("var_bias", shape=[1, self.original_dim], initializer="zeros") def call(self, inputs, **kwargs): """Call NegBinSharedDispOutput layer. Parameters ---------- inputs Inputs. kwargs Arbitrary keyword arguments. Returns ------- exp_mean exp_var """ bound = 60.0 activation, sf = inputs in_node_dim = activation.shape[1] activation = tf.reshape(activation, [-1, self.intermediate_dim], name="output_layer_reshape_activation_fwdpass") mean = self.means(activation) var = self.var_bias mean = tf.reshape(mean, [-1, in_node_dim, self.original_dim], name="output_layer_reshape_mean") if self.use_node_scale: mean = mean + tf.math.log(tf.clip_by_value(sf, tf.exp(-bound), tf.exp(bound), "decoder_sf_clip")) var = tf.zeros_like(mean) + var # broadcast # clip to log of largest values supported by log operation mean_clip = tf.clip_by_value(mean, -bound, bound, "decoder_clip") var_clip = tf.clip_by_value(var, -bound, bound, "decoder_clip") exp_mean = tf.exp(mean_clip) exp_var = tf.exp(var_clip) return [exp_mean, exp_var] class NegBinConstDispOutput(tf.keras.layers.Layer): """Negative binomial output layer with constant dispersion.""" def __init__( self, original_dim=None, use_node_scale: bool = False, name: str = "neg_bin_const_disp_output", **kwargs ): """Initialize NegBinConstDispOutput. Parameters ---------- original_dim original dimension. use_node_scale : bool Use node scale. name : str Layer name. kwargs Arbitrary keyword arguments. """ super().__init__(name=name, **kwargs) self.original_dim = original_dim self.intermediate_dim = None self.use_node_scale = use_node_scale self.means = None self.var = None def get_config(self): """Get config NegBinConstDispOutput. Returns ------- config """ config = super().get_config().copy() config.update({"original_dim": self.original_dim, "use_node_scale": self.use_node_scale}) return config def build(self, input_shapes): """Build NegBinConstDispOutput layer. Parameters ---------- input_shapes Input shapes. """ input_shape = input_shapes[0] self.intermediate_dim = input_shape[2] self.means = tf.keras.layers.Dense(units=self.original_dim, use_bias=True, activation="linear") def call(self, inputs, **kwargs): """Call NegBinConstDispOutput layer. Parameters ---------- inputs Inputs. kwargs Arbitrary keyword arguments. Returns ------- exp_mean exp_var """ bound = 60.0 activation, sf = inputs in_node_dim = activation.shape[1] activation = tf.reshape(activation, [-1, self.intermediate_dim], name="output_layer_reshape_activation_fwdpass") mean = self.means(activation) var = tf.zeros_like(mean) mean = tf.reshape(mean, [-1, in_node_dim, self.original_dim], name="output_layer_reshape_mean") if self.use_node_scale: mean = mean + tf.math.log(tf.clip_by_value(sf, tf.exp(-bound), tf.exp(bound), "decoder_sf_clip")) var = tf.zeros_like(mean) + var # broadcast # clip to log of largest values supported by log operation mean_clip = tf.clip_by_value(mean, -bound, bound, "decoder_clip") var_clip = tf.clip_by_value(var, -bound, bound, "decoder_clip") exp_mean = tf.exp(mean_clip) exp_var = tf.exp(var_clip) return [exp_mean, exp_var]

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Python

install/app_store/tk-framework-qtwidgets/v2.6.5/python/navigation/ui/resources_rc.py

JoanAzpeitia/lp_sg

e0ee79555e419dd2ae3a5f31e5515b3f40b22a62

[ "MIT" ]

null

install/app_store/tk-framework-qtwidgets/v2.6.5/python/navigation/ui/resources_rc.py

JoanAzpeitia/lp_sg

e0ee79555e419dd2ae3a5f31e5515b3f40b22a62

[ "MIT" ]

null

install/app_store/tk-framework-qtwidgets/v2.6.5/python/navigation/ui/resources_rc.py

JoanAzpeitia/lp_sg

e0ee79555e419dd2ae3a5f31e5515b3f40b22a62

[ "MIT" ]

1

2020-02-15T10:42:56.000Z

# -*- coding: utf-8 -*- # Resource object code # # by: The Resource Compiler for PySide (Qt v4.8.7) # # WARNING! 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Python

test/test_rules.py

konysko/pyseeyou

6ee169d32d9449f12fc76032f6060bba687a9155

[ "MIT" ]

12

2016-03-04T00:54:17.000Z

2019-08-06T14:10:28.000Z

test/test_rules.py

konysko/pyseeyou

6ee169d32d9449f12fc76032f6060bba687a9155

[ "MIT" ]

14

2017-07-06T15:48:11.000Z

2021-05-09T15:26:06.000Z

test/test_rules.py

konysko/pyseeyou

6ee169d32d9449f12fc76032f6060bba687a9155

[ "MIT" ]

11

2017-09-21T11:52:15.000Z

2021-03-10T19:40:30.000Z

import pytest from pyseeyou.locales import get_parts_of_num from pyseeyou.cldr_rules import CARDINALS # ======================== # GENERATED AUTOMATICALLY # DON'T MODIFY MANUALLY # ======================== def check(assertions, plural_fn): for assertion in assertions: match, samples = assertion for sample in samples: assert plural_fn(*get_parts_of_num(sample)) == match def test_cardinal_af(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['af']) def test_cardinal_ak(): assertions = [ ('one', ['0','1','0.0','1.0','0.00']), ('other', ['2','10','17','100','1000','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['ak']) def test_cardinal_am(): assertions = [ ('one', ['0','1','0.0','0.5','1.0','0.00','0.02','0.04']), ('other', ['2','10','17','100','1000','1.1','1.85','2.6','10.0','100.0']) ] check(assertions, CARDINALS['am']) def test_cardinal_ar(): assertions = [ ('zero', ['0','0.0','0.00','0.000']), ('one', ['1','1.0','1.00','1.000']), ('two', ['2','2.0','2.00','2.000']), ('few', ['3','7','10','103','107','110','1003','3.0','4.0','5.0']), ('many', ['11','19','26','111','1011','11.0','12.0','13.0']), ('other', ['100','101','102','200','201','202','300','301','302','0.1','0.5','0.9','1.1','1.4','1.7','10.1']) ] check(assertions, CARDINALS['ar']) def test_cardinal_ars(): assertions = [ ('zero', ['0','0.0','0.00','0.000']), ('one', ['1','1.0','1.00','1.000']), ('two', ['2','2.0','2.00','2.000']), ('few', ['3','7','10','103','107','110','1003','3.0','4.0','5.0']), ('many', ['11','19','26','111','1011','11.0','12.0','13.0']), ('other', ['100','101','102','200','201','202','300','301','302','0.1','0.5','0.9','1.1','1.4','1.7','10.1']) ] check(assertions, CARDINALS['ars']) def test_cardinal_as(): assertions = [ ('one', ['0','1','0.0','0.5','1.0','0.00','0.02','0.04']), ('other', ['2','10','17','100','1000','1.1','1.85','2.6','10.0','100.0']) ] check(assertions, CARDINALS['as']) def test_cardinal_asa(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['asa']) def test_cardinal_ast(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['ast']) def test_cardinal_az(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['az']) def test_cardinal_be(): assertions = [ ('one', ['1','21','31','1.0','21.0','31.0']), ('few', ['2','3','4','22','23','24','32','33','34','2.0','3.0','4.0']), ('many', ['0','5','12','19','100','0.0','5.0','6.0']), ('other', ['0.1','0.5','0.9','1.1','1.4','1.7','10.1']) ] check(assertions, CARDINALS['be']) def test_cardinal_bem(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['bem']) def test_cardinal_bez(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['bez']) def test_cardinal_bg(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['bg']) def test_cardinal_bh(): assertions = [ ('one', ['0','1','0.0','1.0','0.00']), ('other', ['2','10','17','100','1000','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['bh']) def test_cardinal_bm(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['bm']) def test_cardinal_bn(): assertions = [ ('one', ['0','1','0.0','0.5','1.0','0.00','0.02','0.04']), ('other', ['2','10','17','100','1000','1.1','1.85','2.6','10.0','100.0']) ] check(assertions, CARDINALS['bn']) def test_cardinal_bo(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['bo']) def test_cardinal_br(): assertions = [ ('one', ['1','21','31','1.0','21.0','31.0']), ('two', ['2','22','32','2.0','22.0','32.0']), ('few', ['3','4','9','3.0','4.0','9.0']), ('many', ['1000000','1000000.0','1000000.00','1000000.000']), ('other', ['0','5','7','8','10','15','20','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['br']) def test_cardinal_brx(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['brx']) def test_cardinal_bs(): assertions = [ ('one', ['1','21','31','0.1','1.1','2.1']), ('few', ['2','3','4','22','23','24','32','33','34','0.2','0.3','0.4','1.2','1.3','1.4','2.2','2.3','2.4']), ('other', ['0','5','12','19','100','0.0','0.5','0.75','1.0','1.5','1.75','2.0']) ] check(assertions, CARDINALS['bs']) def test_cardinal_ca(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['ca']) def test_cardinal_ce(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ce']) def test_cardinal_ceb(): assertions = [ ('one', ['0','2','3','5','7','0.0','0.15','0.3','0.5','0.7']), ('other', ['4','6','9','0.4','0.6','0.9']) ] check(assertions, CARDINALS['ceb']) def test_cardinal_cgg(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['cgg']) def test_cardinal_chr(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['chr']) def test_cardinal_ckb(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ckb']) def test_cardinal_cs(): assertions = [ ('one', ['1']), ('few', ['2','3','4']), ('many', ['0.0','0.75','1.5','10.0','100.0']), ('other', ['0','5','12','19','100']) ] check(assertions, CARDINALS['cs']) def test_cardinal_cy(): assertions = [ ('zero', ['0','0.0','0.00','0.000']), ('one', ['1','1.0','1.00','1.000']), ('two', ['2','2.0','2.00','2.000']), ('few', ['3','3.0','3.00','3.000']), ('many', ['6','6.0','6.00','6.000']), ('other', ['4','5','7','14','20','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['cy']) def test_cardinal_da(): assertions = [ ('one', ['1','0.1','0.85','1.6']), ('other', ['0','2','9','16','100','0.0','2.0','2.7','3.4','10.0']) ] check(assertions, CARDINALS['da']) def test_cardinal_de(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['de']) def test_cardinal_dsb(): assertions = [ ('one', ['1','101','201','0.1','1.1','2.1']), ('two', ['2','102','202','0.2','1.2','2.2']), ('few', ['3','4','103','0.3','0.4','1.3']), ('other', ['0','5','12','19','100','0.0','0.5','0.75','1.0','1.5','1.75','2.0']) ] check(assertions, CARDINALS['dsb']) def test_cardinal_dv(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['dv']) def test_cardinal_dz(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['dz']) def test_cardinal_ee(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ee']) def test_cardinal_el(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['el']) def test_cardinal_en(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['en']) def test_cardinal_eo(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['eo']) def test_cardinal_es(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['es']) def test_cardinal_et(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['et']) def test_cardinal_eu(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['eu']) def test_cardinal_fa(): assertions = [ ('one', ['0','1','0.0','0.5','1.0','0.00','0.02','0.04']), ('other', ['2','10','17','100','1000','1.1','1.85','2.6','10.0','100.0']) ] check(assertions, CARDINALS['fa']) def test_cardinal_ff(): assertions = [ ('one', ['0','1','0.0','0.75','1.5']), ('other', ['2','10','17','100','1000','2.0','2.75','3.5','10.0','100.0']) ] check(assertions, CARDINALS['ff']) def test_cardinal_fi(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['fi']) def test_cardinal_fil(): assertions = [ ('one', ['0','2','3','5','7','0.0','0.15','0.3','0.5','0.7']), ('other', ['4','6','9','0.4','0.6','0.9']) ] check(assertions, CARDINALS['fil']) def test_cardinal_fo(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['fo']) def test_cardinal_fr(): assertions = [ ('one', ['0','1','0.0','0.75','1.5']), ('other', ['2','10','17','100','1000','2.0','2.75','3.5','10.0','100.0']) ] check(assertions, CARDINALS['fr']) def test_cardinal_fur(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['fur']) def test_cardinal_fy(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['fy']) def test_cardinal_ga(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('two', ['2','2.0','2.00','2.000']), ('few', ['3','5','6','3.0','4.0','5.0']), ('many', ['7','9','10','7.0','8.0','9.0']), ('other', ['0','11','18','25','100','0.0','0.45','0.9','1.1','1.35','1.6','10.1']) ] check(assertions, CARDINALS['ga']) def test_cardinal_gd(): assertions = [ ('one', ['1','11','1.0','11.0','1.00']), ('two', ['2','12','2.0','12.0','2.00']), ('few', ['3','7','10','13','16','19','3.0','4.0','5.0']), ('other', ['0','20','27','34','100','0.0','0.45','0.9','1.1','1.35','1.6','10.1']) ] check(assertions, CARDINALS['gd']) def test_cardinal_gl(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['gl']) def test_cardinal_gsw(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['gsw']) def test_cardinal_gu(): assertions = [ ('one', ['0','1','0.0','0.5','1.0','0.00','0.02','0.04']), ('other', ['2','10','17','100','1000','1.1','1.85','2.6','10.0','100.0']) ] check(assertions, CARDINALS['gu']) def test_cardinal_guw(): assertions = [ ('one', ['0','1','0.0','1.0','0.00']), ('other', ['2','10','17','100','1000','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['guw']) def test_cardinal_gv(): assertions = [ ('one', ['1','11','21']), ('two', ['2','12','22']), ('few', ['0','20','40']), ('many', ['0.0','0.75','1.5','10.0','100.0']), ('other', ['3','7','10','13','16','19','23']) ] check(assertions, CARDINALS['gv']) def test_cardinal_ha(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ha']) def test_cardinal_haw(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['haw']) def test_cardinal_he(): assertions = [ ('one', ['1']), ('two', ['2']), ('many', ['20','30','40']), ('other', ['0','3','10','17','101','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['he']) def test_cardinal_hi(): assertions = [ ('one', ['0','1','0.0','0.5','1.0','0.00','0.02','0.04']), ('other', ['2','10','17','100','1000','1.1','1.85','2.6','10.0','100.0']) ] check(assertions, CARDINALS['hi']) def test_cardinal_hr(): assertions = [ ('one', ['1','21','31','0.1','1.1','2.1']), ('few', ['2','3','4','22','23','24','32','33','34','0.2','0.3','0.4','1.2','1.3','1.4','2.2','2.3','2.4']), ('other', ['0','5','12','19','100','0.0','0.5','0.75','1.0','1.5','1.75','2.0']) ] check(assertions, CARDINALS['hr']) def test_cardinal_hsb(): assertions = [ ('one', ['1','101','201','0.1','1.1','2.1']), ('two', ['2','102','202','0.2','1.2','2.2']), ('few', ['3','4','103','0.3','0.4','1.3']), ('other', ['0','5','12','19','100','0.0','0.5','0.75','1.0','1.5','1.75','2.0']) ] check(assertions, CARDINALS['hsb']) def test_cardinal_hu(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['hu']) def test_cardinal_hy(): assertions = [ ('one', ['0','1','0.0','0.75','1.5']), ('other', ['2','10','17','100','1000','2.0','2.75','3.5','10.0','100.0']) ] check(assertions, CARDINALS['hy']) def test_cardinal_ia(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['ia']) def test_cardinal_id(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['id']) def test_cardinal_ig(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['ig']) def test_cardinal_ii(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['ii']) def test_cardinal_in(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['in']) def test_cardinal_io(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['io']) def test_cardinal_is(): assertions = [ ('one', ['1','21','31','0.1','0.85','1.6','10.1','100.1']), ('other', ['0','2','9','16','100','0.0','2.0','3.0']) ] check(assertions, CARDINALS['is']) def test_cardinal_it(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['it']) def test_cardinal_iu(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('two', ['2','2.0','2.00','2.000']), ('other', ['0','3','10','17','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['iu']) def test_cardinal_iw(): assertions = [ ('one', ['1']), ('two', ['2']), ('many', ['20','30','40']), ('other', ['0','3','10','17','101','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['iw']) def test_cardinal_ja(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['ja']) def test_cardinal_jbo(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['jbo']) def test_cardinal_jgo(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['jgo']) def test_cardinal_ji(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['ji']) def test_cardinal_jmc(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['jmc']) def test_cardinal_jv(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['jv']) def test_cardinal_jw(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['jw']) def test_cardinal_ka(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ka']) def test_cardinal_kab(): assertions = [ ('one', ['0','1','0.0','0.75','1.5']), ('other', ['2','10','17','100','1000','2.0','2.75','3.5','10.0','100.0']) ] check(assertions, CARDINALS['kab']) def test_cardinal_kaj(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['kaj']) def test_cardinal_kcg(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['kcg']) def test_cardinal_kde(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['kde']) def test_cardinal_kea(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['kea']) def test_cardinal_kk(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['kk']) def test_cardinal_kkj(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['kkj']) def test_cardinal_kl(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['kl']) def test_cardinal_km(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['km']) def test_cardinal_kn(): assertions = [ ('one', ['0','1','0.0','0.5','1.0','0.00','0.02','0.04']), ('other', ['2','10','17','100','1000','1.1','1.85','2.6','10.0','100.0']) ] check(assertions, CARDINALS['kn']) def test_cardinal_ko(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['ko']) def test_cardinal_ks(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ks']) def test_cardinal_ksb(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ksb']) def test_cardinal_ksh(): assertions = [ ('zero', ['0','0.0','0.00','0.000']), ('one', ['1','1.0','1.00','1.000']), ('other', ['2','10','17','100','1000','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['ksh']) def test_cardinal_ku(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ku']) def test_cardinal_kw(): assertions = [ ('zero', ['0','0.0','0.00','0.000']), ('one', ['1','1.0','1.00','1.000']), ('two', ['2','22','42','2.0','22.0','42.0']), ('few', ['3','23','43','3.0','23.0','43.0']), ('many', ['21','41','61','21.0','41.0','61.0']), ('other', ['4','12','19','100','1000000','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['kw']) def test_cardinal_ky(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ky']) def test_cardinal_lag(): assertions = [ ('zero', ['0','0.0','0.00','0.000']), ('one', ['1','0.1','0.85','1.6']), ('other', ['2','10','17','100','1000','2.0','2.75','3.5','10.0','100.0']) ] check(assertions, CARDINALS['lag']) def test_cardinal_lb(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['lb']) def test_cardinal_lg(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['lg']) def test_cardinal_lkt(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['lkt']) def test_cardinal_ln(): assertions = [ ('one', ['0','1','0.0','1.0','0.00']), ('other', ['2','10','17','100','1000','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['ln']) def test_cardinal_lo(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['lo']) def test_cardinal_lt(): assertions = [ ('one', ['1','21','31','1.0','21.0','31.0']), ('few', ['2','6','9','22','26','29','102','2.0','3.0','4.0']), ('many', ['0.1','0.5','0.9','1.1','1.4','1.7','10.1']), ('other', ['0','10','15','20','30','0.0','10.0','11.0']) ] check(assertions, CARDINALS['lt']) def test_cardinal_lv(): assertions = [ ('zero', ['0','10','15','20','30','0.0','10.0','11.0']), ('one', ['1','21','31','0.1','1.0','1.1']), ('other', ['2','6','9','22','26','29','102','0.2','0.55','0.9','1.2','1.55','1.9','10.2']) ] check(assertions, CARDINALS['lv']) def test_cardinal_mas(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['mas']) def test_cardinal_mg(): assertions = [ ('one', ['0','1','0.0','1.0','0.00']), ('other', ['2','10','17','100','1000','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['mg']) def test_cardinal_mgo(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['mgo']) def test_cardinal_mk(): assertions = [ ('one', ['1','21','31','0.1','1.1','2.1']), ('other', ['0','2','9','16','100','0.0','0.2','0.6','1.0','1.2','1.45','1.7']) ] check(assertions, CARDINALS['mk']) def test_cardinal_ml(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ml']) def test_cardinal_mn(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['mn']) def test_cardinal_mo(): assertions = [ ('one', ['1']), ('few', ['0','2','9','16','102','0.0','0.75','1.5','10.0','100.0']), ('other', ['20','28','35','100','1000']) ] check(assertions, CARDINALS['mo']) def test_cardinal_mr(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['mr']) def test_cardinal_ms(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['ms']) def test_cardinal_mt(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('few', ['0','2','6','10','102','105','107','0.0','2.0','3.0']), ('many', ['11','15','19','111','114','117','1011','11.0','12.0','13.0']), ('other', ['20','28','35','100','1000','0.1','0.5','0.9','1.1','1.4','1.7','10.1']) ] check(assertions, CARDINALS['mt']) def test_cardinal_my(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['my']) def test_cardinal_nah(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['nah']) def test_cardinal_naq(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('two', ['2','2.0','2.00','2.000']), ('other', ['0','3','10','17','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['naq']) def test_cardinal_nb(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['nb']) def test_cardinal_nd(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['nd']) def test_cardinal_ne(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ne']) def test_cardinal_nl(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['nl']) def test_cardinal_nn(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['nn']) def test_cardinal_nnh(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['nnh']) def test_cardinal_no(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['no']) def test_cardinal_nqo(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['nqo']) def test_cardinal_nr(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['nr']) def test_cardinal_nso(): assertions = [ ('one', ['0','1','0.0','1.0','0.00']), ('other', ['2','10','17','100','1000','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['nso']) def test_cardinal_ny(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ny']) def test_cardinal_nyn(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['nyn']) def test_cardinal_om(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['om']) def test_cardinal_or(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['or']) def test_cardinal_os(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['os']) def test_cardinal_pa(): assertions = [ ('one', ['0','1','0.0','1.0','0.00']), ('other', ['2','10','17','100','1000','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['pa']) def test_cardinal_pap(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['pap']) def test_cardinal_pl(): assertions = [ ('one', ['1']), ('few', ['2','3','4','22','23','24','32','33','34']), ('many', ['0','5','12','19','100']), ('other', ['0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['pl']) def test_cardinal_prg(): assertions = [ ('zero', ['0','10','15','20','30','0.0','10.0','11.0']), ('one', ['1','21','31','0.1','1.0','1.1']), ('other', ['2','6','9','22','26','29','102','0.2','0.55','0.9','1.2','1.55','1.9','10.2']) ] check(assertions, CARDINALS['prg']) def test_cardinal_ps(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ps']) def test_cardinal_pt(): assertions = [ ('one', ['0','1','0.0','0.75','1.5']), ('other', ['2','10','17','100','1000','2.0','2.75','3.5','10.0','100.0']) ] check(assertions, CARDINALS['pt']) def test_cardinal_pt_PT(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['pt-PT']) def test_cardinal_rm(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['rm']) def test_cardinal_ro(): assertions = [ ('one', ['1']), ('few', ['0','2','9','16','102','0.0','0.75','1.5','10.0','100.0']), ('other', ['20','28','35','100','1000']) ] check(assertions, CARDINALS['ro']) def test_cardinal_rof(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['rof']) def test_cardinal_root(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['root']) def test_cardinal_ru(): assertions = [ ('one', ['1','21','31']), ('few', ['2','3','4','22','23','24','32','33','34']), ('many', ['0','5','12','19','100']), ('other', ['0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['ru']) def test_cardinal_rwk(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['rwk']) def test_cardinal_sah(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['sah']) def test_cardinal_saq(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['saq']) def test_cardinal_sc(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['sc']) def test_cardinal_scn(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['scn']) def test_cardinal_sd(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['sd']) def test_cardinal_sdh(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['sdh']) def test_cardinal_se(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('two', ['2','2.0','2.00','2.000']), ('other', ['0','3','10','17','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['se']) def test_cardinal_seh(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['seh']) def test_cardinal_ses(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['ses']) def test_cardinal_sg(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['sg']) def test_cardinal_sh(): assertions = [ ('one', ['1','21','31','0.1','1.1','2.1']), ('few', ['2','3','4','22','23','24','32','33','34','0.2','0.3','0.4','1.2','1.3','1.4','2.2','2.3','2.4']), ('other', ['0','5','12','19','100','0.0','0.5','0.75','1.0','1.5','1.75','2.0']) ] check(assertions, CARDINALS['sh']) def test_cardinal_shi(): assertions = [ ('one', ['0','1','0.0','0.5','1.0','0.00','0.02','0.04']), ('few', ['2','6','10','2.0','3.0','4.0']), ('other', ['11','19','26','100','1000','1.1','1.5','1.9','2.1','2.4','2.7','10.1']) ] check(assertions, CARDINALS['shi']) def test_cardinal_si(): assertions = [ ('one', ['0','1','0.0','0.1','1.0']), ('other', ['2','10','17','100','1000','0.2','0.55','0.9','1.1','1.45','1.8','10.0']) ] check(assertions, CARDINALS['si']) def test_cardinal_sk(): assertions = [ ('one', ['1']), ('few', ['2','3','4']), ('many', ['0.0','0.75','1.5','10.0','100.0']), ('other', ['0','5','12','19','100']) ] check(assertions, CARDINALS['sk']) def test_cardinal_sl(): assertions = [ ('one', ['1','101','201']), ('two', ['2','102','202']), ('few', ['3','4','103','0.0','0.75','1.5','10.0','100.0']), ('other', ['0','5','12','19','100']) ] check(assertions, CARDINALS['sl']) def test_cardinal_sma(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('two', ['2','2.0','2.00','2.000']), ('other', ['0','3','10','17','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['sma']) def test_cardinal_smi(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('two', ['2','2.0','2.00','2.000']), ('other', ['0','3','10','17','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['smi']) def test_cardinal_smj(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('two', ['2','2.0','2.00','2.000']), ('other', ['0','3','10','17','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['smj']) def test_cardinal_smn(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('two', ['2','2.0','2.00','2.000']), ('other', ['0','3','10','17','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['smn']) def test_cardinal_sms(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('two', ['2','2.0','2.00','2.000']), ('other', ['0','3','10','17','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['sms']) def test_cardinal_sn(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['sn']) def test_cardinal_so(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['so']) def test_cardinal_sq(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['sq']) def test_cardinal_sr(): assertions = [ ('one', ['1','21','31','0.1','1.1','2.1']), ('few', ['2','3','4','22','23','24','32','33','34','0.2','0.3','0.4','1.2','1.3','1.4','2.2','2.3','2.4']), ('other', ['0','5','12','19','100','0.0','0.5','0.75','1.0','1.5','1.75','2.0']) ] check(assertions, CARDINALS['sr']) def test_cardinal_ss(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ss']) def test_cardinal_ssy(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ssy']) def test_cardinal_st(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['st']) def test_cardinal_sv(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['sv']) def test_cardinal_sw(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['sw']) def test_cardinal_syr(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['syr']) def test_cardinal_ta(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ta']) def test_cardinal_te(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['te']) def test_cardinal_teo(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['teo']) def test_cardinal_th(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['th']) def test_cardinal_ti(): assertions = [ ('one', ['0','1','0.0','1.0','0.00']), ('other', ['2','10','17','100','1000','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['ti']) def test_cardinal_tig(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['tig']) def test_cardinal_tk(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['tk']) def test_cardinal_tl(): assertions = [ ('one', ['0','2','3','5','7','0.0','0.15','0.3','0.5','0.7']), ('other', ['4','6','9','0.4','0.6','0.9']) ] check(assertions, CARDINALS['tl']) def test_cardinal_tn(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['tn']) def test_cardinal_to(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['to']) def test_cardinal_tr(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['tr']) def test_cardinal_ts(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ts']) def test_cardinal_tzm(): assertions = [ ('one', ['0','1','11','18','24','0.0','1.0','11.0']), ('other', ['2','6','10','100','103','106','1000','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['tzm']) def test_cardinal_ug(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ug']) def test_cardinal_uk(): assertions = [ ('one', ['1','21','31']), ('few', ['2','3','4','22','23','24','32','33','34']), ('many', ['0','5','12','19','100']), ('other', ['0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['uk']) def test_cardinal_ur(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['ur']) def test_cardinal_uz(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['uz']) def test_cardinal_ve(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['ve']) def test_cardinal_vi(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['vi']) def test_cardinal_vo(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['vo']) def test_cardinal_vun(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['vun']) def test_cardinal_wa(): assertions = [ ('one', ['0','1','0.0','1.0','0.00']), ('other', ['2','10','17','100','1000','0.1','0.5','0.9','1.1','1.4','1.7','10.0']) ] check(assertions, CARDINALS['wa']) def test_cardinal_wae(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['wae']) def test_cardinal_wo(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['wo']) def test_cardinal_xh(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['xh']) def test_cardinal_xog(): assertions = [ ('one', ['1','1.0','1.00','1.000']), ('other', ['0','2','9','16','100','0.0','0.45','0.9','1.1','1.35','1.6','10.0']) ] check(assertions, CARDINALS['xog']) def test_cardinal_yi(): assertions = [ ('one', ['1']), ('other', ['0','2','9','16','100','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['yi']) def test_cardinal_yo(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['yo']) def test_cardinal_yue(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['yue']) def test_cardinal_zh(): assertions = [ ('other', ['0','8','15','100','1000','0.0','0.75','1.5','10.0','100.0']) ] check(assertions, CARDINALS['zh']) def test_cardinal_zu(): assertions = [ ('one', ['0','1','0.0','0.5','1.0','0.00','0.02','0.04']), ('other', ['2','10','17','100','1000','1.1','1.85','2.6','10.0','100.0']) ] check(assertions, CARDINALS['zu']) # ================================ # END AUTOMATICALLY GENERATED CODE # ================================

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8

2d0abfa6db0aeaa48eeb2240a4ad11ea164550a4

147

py

Python

tests/test_get_skins.py

exizt/tistory-skin-simulator

0ede9e5daeadd7aa3ed1f74bf40d7e0924a1655a

[ "MIT" ]

4

2021-09-29T08:55:37.000Z

2022-03-06T18:01:58.000Z

tests/test_get_skins.py

exizt/tistory-skin-simulator

0ede9e5daeadd7aa3ed1f74bf40d7e0924a1655a

[ "MIT" ]

null

tests/test_get_skins.py

exizt/tistory-skin-simulator

0ede9e5daeadd7aa3ed1f74bf40d7e0924a1655a

[ "MIT" ]

null

import SkinLoader def test_get_skins(): print(SkinLoader.get_skins()) def test_get_skin_path(): print(SkinLoader.get_skins_dir_path())

14.7

42

0.755102

21

147

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2d33010b9a4a61a5d059373f88ac50c2aa74e9fc

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Python

plot_producers/off_line_bcpnn_learning.py

h-mayorquin/BCPNN_sequences

a7d6dcd699abf91ce8c2d0b8e36e96a56b941f4a

[ "MIT" ]

null

plot_producers/off_line_bcpnn_learning.py

h-mayorquin/BCPNN_sequences

a7d6dcd699abf91ce8c2d0b8e36e96a56b941f4a

[ "MIT" ]

null

plot_producers/off_line_bcpnn_learning.py

h-mayorquin/BCPNN_sequences

a7d6dcd699abf91ce8c2d0b8e36e96a56b941f4a

[ "MIT" ]

null

import sys sys.path.append('../') import numpy as np import matplotlib.pyplot as plt import matplotlib import matplotlib.gridspec as gridspec from mpl_toolkits.axes_grid1 import make_axes_locatable import seaborn as sns from network import Protocol, NetworkManager, BCPNNPerfect, TimedInput from connectivity_functions import create_orthogonal_canonical_representation, build_network_representation from connectivity_functions import get_weights_from_probabilities, get_probabilities_from_network_representation from analysis_functions import calculate_recall_time_quantities, get_weights from analysis_functions import get_weights_collections def generate_plot_for_variable(filename, x_values, xlabel): format = '.pdf' folder = './plot_producers/off_line_rule_learning_' fig = plt.figure(figsize=figsize) ax = fig.add_subplot(111) ax.plot(x_values, w_self_vector, 'o-', markersize=markersize, linewidth=linewidth, label=r'$w_{self}$') ax.plot(x_values, w_next_vector, 'o-', markersize=markersize, linewidth=linewidth, label=r'$w_{next}$') ax.plot(x_values, w_rest_vector, 'o-', markersize=markersize, linewidth=linewidth, label=r'$w_{rest}$') ax.axhline(0, ls='--', color='gray') ax.axvline(0, ls='--', color='gray') ax.set_ylabel(r'$w$') ax.set_xlabel(xlabel) ax.legend() type = 'w' aux_filename = folder + filename + type + format fig.savefig(aux_filename, frameon=False, dpi=110, bbox_inches='tight') fig.clear() fig = plt.figure(figsize=figsize) ax = fig.add_subplot(111) ax.plot(x_values, factor * Pij_self_vector, 'o-', markersize=markersize, linewidth=linewidth, label=r'$P_{self}$') ax.plot(x_values, factor * Pij_next_vector, 'o-', markersize=markersize, linewidth=linewidth, label=r'$P_{next}$') ax.plot(x_values, factor * Pij_rest_vector, 'o-', markersize=markersize, linewidth=linewidth, label=r'$P_{rest}$') ax.plot(x_values, factor * pi_self_vector, 'o-', markersize=markersize, linewidth=linewidth, label=r'$p_i * p_j s$', color='black') ax.axhline(0, ls='--', color='gray') ax.axvline(0, ls='--', color='gray') ax.set_ylabel(r'Probabilities') ax.set_xlabel(xlabel) ax.legend() type = 'p' aux_filename = folder + filename + type + format fig.savefig(aux_filename, frameon=False, dpi=110, bbox_inches='tight') fig.clear() fig = plt.figure(figsize=figsize) ax = fig.add_subplot(111) ax.plot(x_values, persistence_time_vector, 'o-', markersize=markersize, linewidth=linewidth, label=r'$T_{persistence}$') ax.plot(x_values, success_vector / 100.0, 'o-', markersize=markersize, linewidth=linewidth, label=r'Success') ax.axhline(0, ls='--', color='gray') ax.axvline(0, ls='--', color='gray') ax.set_ylabel(r'$T_{persistence} (s)$') ax.set_xlabel(xlabel) ax.legend() type = 'time' aux_filename = folder + filename + type + format fig.savefig(aux_filename, frameon=False, dpi=110, bbox_inches='tight') fig = plt.figure(figsize=figsize) ax = fig.add_subplot(111) ax.plot(x_values[:-1], np.diff(Pij_self_vector) / np.abs(Pij_self_vector[:-1]), 'o-', markersize=markersize, linewidth=linewidth, label=r'$P_{self}$', alpha=alpha) ax.plot(x_values[:-1], np.diff(Pij_next_vector) / np.abs(Pij_next_vector[:-1]), 'o-', markersize=markersize, linewidth=linewidth, label=r'$P_{next}$', alpha=alpha) ax.plot(x_values[:-1], np.diff(Pij_rest_vector) / np.abs(Pij_rest_vector[:-1]), 'o-', markersize=markersize, linewidth=linewidth, label=r'$P_{rest}$', alpha=alpha) ax.plot(x_values[:-1], np.diff(pi_self_vector) / np.abs(pi_self_vector[:-1]), 'o-', alpha=alpha, markersize=markersize, linewidth=linewidth, color='black', label=r'$p_i * p_j$') ax.axhline(0, ls='--', color='gray') ax.axvline(0, ls='--', color='gray') ax.set_ylabel(r'$\Delta $ Probabilities') ax.set_xlabel(xlabel) ax.legend() type = 'diff' aux_filename = folder + filename + type + format fig.savefig(aux_filename, frameon=False, dpi=110, bbox_inches='tight') plt.close() sns.set(font_scale=2.8) sns.set_style(style='white') epsilon = 10e-10 from_pattern = 2 to_pattern = 3 figsize = (16, 12) markersize = 25 linewidth = 10 factor = 1.0 alpha = 0.8 normal_palette = sns.color_palette() plot_training_time = False plot_tau_z = False plot_resting_time = False plot_epochs = False plot_inter_sequence_time = False plot_inter_pulse_interval = False plot_minicolumns_fixed = True plot_minicolumns_var = True plot_hypercolumns = False ##################### # General parameters ##################### always_learning = False strict_maximum = True perfect = False z_transfer = False k_perfect = True diagonal_zero = False normalized_currents = True g_w_ampa = 2.0 g_w = 0.0 g_a = 10.0 tau_a = 0.250 G = 1.0 sigma = 0.0 tau_m = 0.020 tau_z_pre_ampa = 0.025 tau_z_post_ampa = 0.025 tau_p = 10.0 hypercolumns = 1 minicolumns = 10 n_patterns = 10 # Manager properties dt = 0.001 values_to_save = ['o'] # Protocol training_time = 0.100 inter_sequence_interval = 1.0 inter_pulse_interval = 0.0 epochs = 3 resting_time = 3.0 # Recall T_recall = 3.0 n = 1 T_cue = 0.050 ############################## # Training time ############################## if plot_training_time: epsilon_ = epsilon num = 20 training_times = np.linspace(0.050, 1.0, num=num) success_vector = np.zeros(num) persistence_time_vector = np.zeros(num) w_self_vector = np.zeros(num) w_next_vector = np.zeros(num) w_rest_vector = np.zeros(num) pi_self_vector = np.zeros(num) Pij_self_vector = np.zeros(num) pi_next_vector = np.zeros(num) Pij_next_vector = np.zeros(num) pi_rest_vector = np.zeros(num) Pij_rest_vector = np.zeros(num) for index, training_time_ in enumerate(training_times): matrix = create_orthogonal_canonical_representation(minicolumns, hypercolumns)[:n_patterns] network_representation = build_network_representation(matrix, minicolumns, hypercolumns) timed_input = TimedInput(network_representation, dt, training_time_, inter_pulse_interval=inter_pulse_interval, inter_sequence_interval=inter_sequence_interval, epochs=epochs, resting_time=resting_time) S = timed_input.build_timed_input() z_pre = timed_input.build_filtered_input_pre(tau_z_pre_ampa) z_post = timed_input.build_filtered_input_post(tau_z_pre_ampa) pi, pj, P = timed_input.calculate_probabilities_from_time_signal(filtered=True) w_timed, beta_timed = get_weights_from_probabilities(pi, pj, P, minicolumns, hypercolumns, epsilon_) nn = BCPNNPerfect(hypercolumns, minicolumns, g_w_ampa=g_w_ampa, g_w=g_w, g_a=g_a, tau_a=tau_a, tau_m=tau_m, sigma=sigma, G=G, tau_z_pre_ampa=tau_z_pre_ampa, tau_z_post_ampa=tau_z_post_ampa, tau_p=tau_p, z_transfer=z_transfer, diagonal_zero=diagonal_zero, strict_maximum=strict_maximum, perfect=perfect, k_perfect=k_perfect, always_learning=always_learning, normalized_currents=normalized_currents) # Build the manager manager = NetworkManager(nn=nn, dt=dt, values_to_save=values_to_save) # Build the protocol for training nn.w_ampa = w_timed # Recall patterns_indexes = [i for i in range(n_patterns)] sequences = [patterns_indexes] # manager.run_network_recall(T_recall=1.0, T_cue=0.100, I_cue=0, reset=True, empty_history=True) aux = calculate_recall_time_quantities(manager, T_recall, T_cue, n, sequences) total_sequence_time, mean, std, success, timings = aux w_self, w_next, w_rest = get_weights(manager, from_pattern, to_pattern, mean=False) success_vector[index] = success persistence_time_vector[index] = mean w_self_vector[index] = w_self w_next_vector[index] = w_next w_rest_vector[index] = w_rest pi_self_vector[index] = pi[from_pattern] * pj[from_pattern] Pij_self_vector[index] = P[from_pattern, from_pattern] pi_next_vector[index] = pi[from_pattern] * pj[to_pattern] Pij_next_vector[index] = P[to_pattern, from_pattern] pi_rest_vector[index] = pi[from_pattern] * pj[to_pattern + 1] Pij_rest_vector[index] = P[to_pattern + 1, from_pattern] # Plot filename = 'training_time_' x_values = training_times xlabel = r'Training Time (s)' generate_plot_for_variable(filename, x_values, xlabel) ############################## # tau_z ############################### if plot_tau_z: num = 15 tau_z_vector = np.linspace(0.025, 0.250, num=num) success_vector = np.zeros(num) persistence_time_vector = np.zeros(num) w_self_vector = np.zeros(num) w_next_vector = np.zeros(num) w_rest_vector = np.zeros(num) pi_self_vector = np.zeros(num) Pij_self_vector = np.zeros(num) pi_next_vector = np.zeros(num) Pij_next_vector = np.zeros(num) pi_rest_vector = np.zeros(num) Pij_rest_vector = np.zeros(num) for index, tau_z_pre_ampa_ in enumerate(tau_z_vector): matrix = create_orthogonal_canonical_representation(minicolumns, hypercolumns)[:n_patterns] network_representation = build_network_representation(matrix, minicolumns, hypercolumns) timed_input = TimedInput(network_representation, dt, training_time, inter_pulse_interval=inter_pulse_interval, inter_sequence_interval=inter_sequence_interval, epochs=epochs, resting_time=resting_time) S = timed_input.build_timed_input() z_pre = timed_input.build_filtered_input_pre(tau_z_pre_ampa_) z_post = timed_input.build_filtered_input_post(tau_z_pre_ampa_) pi, pj, P = timed_input.calculate_probabilities_from_time_signal(filtered=True) w_timed, beta_timed = get_weights_from_probabilities(pi, pj, P, minicolumns, hypercolumns, epsilon) # Patterns parameters nn = BCPNNPerfect(hypercolumns, minicolumns, g_w_ampa=g_w_ampa, g_w=g_w, g_a=g_a, tau_a=tau_a, tau_m=tau_m, sigma=sigma, G=G, tau_z_pre_ampa=tau_z_pre_ampa_, tau_z_post_ampa=tau_z_post_ampa, tau_p=tau_p, z_transfer=z_transfer, diagonal_zero=diagonal_zero, strict_maximum=strict_maximum, perfect=perfect, k_perfect=k_perfect, always_learning=always_learning, normalized_currents=normalized_currents) # Build the manager manager = NetworkManager(nn=nn, dt=dt, values_to_save=values_to_save) # Build the protocol for training nn.w_ampa = w_timed # Recall patterns_indexes = [i for i in range(n_patterns)] sequences = [patterns_indexes] # manager.run_network_recall(T_recall=1.0, T_cue=0.100, I_cue=0, reset=True, empty_history=True) aux = calculate_recall_time_quantities(manager, T_recall, T_cue, n, sequences) total_sequence_time, mean, std, success, timings = aux w_self, w_next, w_rest = get_weights(manager, from_pattern, to_pattern, mean=False) success_vector[index] = success persistence_time_vector[index] = mean w_self_vector[index] = w_self w_next_vector[index] = w_next w_rest_vector[index] = w_rest pi_self_vector[index] = pi[from_pattern] * pj[from_pattern] Pij_self_vector[index] = P[from_pattern, from_pattern] pi_next_vector[index] = pi[from_pattern] * pj[to_pattern] Pij_next_vector[index] = P[to_pattern, from_pattern] pi_rest_vector[index] = pi[from_pattern] * pj[to_pattern + 1] Pij_rest_vector[index] = P[to_pattern + 1, from_pattern] # Plot filename = 'tau_z_' x_values = tau_z_vector xlabel = r'$\tau_z$ (s)' generate_plot_for_variable(filename, x_values, xlabel) ######################### # Resting time ######################### if plot_resting_time: num = 15 resting_times = np.linspace(0.0, 3.0, num=num) success_vector = np.zeros(num) persistence_time_vector = np.zeros(num) w_self_vector = np.zeros(num) w_next_vector = np.zeros(num) w_rest_vector = np.zeros(num) pi_self_vector = np.zeros(num) Pij_self_vector = np.zeros(num) pi_next_vector = np.zeros(num) Pij_next_vector = np.zeros(num) pi_rest_vector = np.zeros(num) Pij_rest_vector = np.zeros(num) for index, resting_time_ in enumerate(resting_times): matrix = create_orthogonal_canonical_representation(minicolumns, hypercolumns)[:n_patterns] network_representation = build_network_representation(matrix, minicolumns, hypercolumns) timed_input = TimedInput(network_representation, dt, training_time, inter_pulse_interval=inter_pulse_interval, inter_sequence_interval=inter_sequence_interval, epochs=epochs, resting_time=resting_time_) S = timed_input.build_timed_input() z_pre = timed_input.build_filtered_input_pre(tau_z_pre_ampa) z_post = timed_input.build_filtered_input_post(tau_z_pre_ampa) pi, pj, P = timed_input.calculate_probabilities_from_time_signal(filtered=True) w_timed, beta_timed = get_weights_from_probabilities(pi, pj, P, minicolumns, hypercolumns, epsilon) # Patterns parameters nn = BCPNNPerfect(hypercolumns, minicolumns, g_w_ampa=g_w_ampa, g_w=g_w, g_a=g_a, tau_a=tau_a, tau_m=tau_m, sigma=sigma, G=G, tau_z_pre_ampa=tau_z_pre_ampa, tau_z_post_ampa=tau_z_post_ampa, tau_p=tau_p, z_transfer=z_transfer, diagonal_zero=diagonal_zero, strict_maximum=strict_maximum, perfect=perfect, k_perfect=k_perfect, always_learning=always_learning, normalized_currents=normalized_currents) # Build the manager manager = NetworkManager(nn=nn, dt=dt, values_to_save=values_to_save) # Build the protocol for training nn.w_ampa = w_timed # Recall patterns_indexes = [i for i in range(n_patterns)] sequences = [patterns_indexes] # manager.run_network_recall(T_recall=1.0, T_cue=0.100, I_cue=0, reset=True, empty_history=True) aux = calculate_recall_time_quantities(manager, T_recall, T_cue, n, sequences) total_sequence_time, mean, std, success, timings = aux w_self, w_next, w_rest = get_weights(manager, from_pattern, to_pattern, mean=False) success_vector[index] = success persistence_time_vector[index] = mean w_self_vector[index] = w_self w_next_vector[index] = w_next w_rest_vector[index] = w_rest pi_self_vector[index] = pi[from_pattern] * pj[from_pattern] Pij_self_vector[index] = P[from_pattern, from_pattern] pi_next_vector[index] = pi[from_pattern] * pj[to_pattern] Pij_next_vector[index] = P[to_pattern, from_pattern] pi_rest_vector[index] = pi[from_pattern] * pj[to_pattern + 1] Pij_rest_vector[index] = P[to_pattern + 1, from_pattern] # Plot filename = 'resting_' x_values = resting_times xlabel = r'Resting time (s)' generate_plot_for_variable(filename, x_values, xlabel) ########################### # Epochs ########################### if plot_epochs: num = 15 epochs_vector = np.arange(1, 10, 1, dtype='int') success_vector = np.zeros(epochs_vector.size) persistence_time_vector = np.zeros(epochs_vector.size) w_self_vector = np.zeros(epochs_vector.size) w_next_vector = np.zeros(epochs_vector.size) w_rest_vector = np.zeros(epochs_vector.size) pi_self_vector = np.zeros(epochs_vector.size) Pij_self_vector = np.zeros(epochs_vector.size) pi_next_vector = np.zeros(epochs_vector.size) Pij_next_vector = np.zeros(epochs_vector.size) pi_rest_vector = np.zeros(epochs_vector.size) Pij_rest_vector = np.zeros(epochs_vector.size) for index, epochs_ in enumerate(epochs_vector): matrix = create_orthogonal_canonical_representation(minicolumns, hypercolumns)[:n_patterns] network_representation = build_network_representation(matrix, minicolumns, hypercolumns) timed_input = TimedInput(network_representation, dt, training_time, inter_pulse_interval=inter_pulse_interval, inter_sequence_interval=inter_sequence_interval, epochs=epochs_, resting_time=resting_time) S = timed_input.build_timed_input() z_pre = timed_input.build_filtered_input_pre(tau_z_pre_ampa) z_post = timed_input.build_filtered_input_post(tau_z_pre_ampa) pi, pj, P = timed_input.calculate_probabilities_from_time_signal(filtered=True) w_timed, beta_timed = get_weights_from_probabilities(pi, pj, P, minicolumns, hypercolumns, epsilon) # Patterns parameters nn = BCPNNPerfect(hypercolumns, minicolumns, g_w_ampa=g_w_ampa, g_w=g_w, g_a=g_a, tau_a=tau_a, tau_m=tau_m, sigma=sigma, G=G, tau_z_pre_ampa=tau_z_pre_ampa, tau_z_post_ampa=tau_z_post_ampa, tau_p=tau_p, z_transfer=z_transfer, diagonal_zero=diagonal_zero, strict_maximum=strict_maximum, perfect=perfect, k_perfect=k_perfect, always_learning=always_learning, normalized_currents=normalized_currents) # Build the manager manager = NetworkManager(nn=nn, dt=dt, values_to_save=values_to_save) # Build the protocol for training nn.w_ampa = w_timed # Recall patterns_indexes = [i for i in range(n_patterns)] sequences = [patterns_indexes] # manager.run_network_recall(T_recall=1.0, T_cue=0.100, I_cue=0, reset=True, empty_history=True) aux = calculate_recall_time_quantities(manager, T_recall, T_cue, n, sequences) total_sequence_time, mean, std, success, timings = aux w_self, w_next, w_rest = get_weights(manager, from_pattern, to_pattern, mean=False) success_vector[index] = success persistence_time_vector[index] = mean w_self_vector[index] = w_self w_next_vector[index] = w_next w_rest_vector[index] = w_rest pi_self_vector[index] = pi[from_pattern] * pj[from_pattern] Pij_self_vector[index] = P[from_pattern, from_pattern] pi_next_vector[index] = pi[from_pattern] * pj[to_pattern] Pij_next_vector[index] = P[to_pattern, from_pattern] pi_rest_vector[index] = pi[from_pattern] * pj[to_pattern + 1] Pij_rest_vector[index] = P[to_pattern + 1, from_pattern] # Plot filename = 'epochs_' x_values = epochs_vector xlabel = r'Epochs' generate_plot_for_variable(filename, x_values, xlabel) ############################# # Inter-sequence times ############################# if plot_inter_sequence_time: num = 15 inter_sequence_times = np.linspace(0.0, 3.0, num=num) success_vector = np.zeros(num) persistence_time_vector = np.zeros(num) w_self_vector = np.zeros(num) w_next_vector = np.zeros(num) w_rest_vector = np.zeros(num) pi_self_vector = np.zeros(num) Pij_self_vector = np.zeros(num) pi_next_vector = np.zeros(num) Pij_next_vector = np.zeros(num) pi_rest_vector = np.zeros(num) Pij_rest_vector = np.zeros(num) for index, inter_sequence_interval_ in enumerate(inter_sequence_times): matrix = create_orthogonal_canonical_representation(minicolumns, hypercolumns)[:n_patterns] network_representation = build_network_representation(matrix, minicolumns, hypercolumns) timed_input = TimedInput(network_representation, dt, training_time, inter_pulse_interval=inter_pulse_interval, inter_sequence_interval=inter_sequence_interval_, epochs=epochs, resting_time=resting_time) S = timed_input.build_timed_input() z_pre = timed_input.build_filtered_input_pre(tau_z_pre_ampa) z_post = timed_input.build_filtered_input_post(tau_z_pre_ampa) pi, pj, P = timed_input.calculate_probabilities_from_time_signal(filtered=True) w_timed, beta_timed = get_weights_from_probabilities(pi, pj, P, minicolumns, hypercolumns, epsilon) # Patterns parameters nn = BCPNNPerfect(hypercolumns, minicolumns, g_w_ampa=g_w_ampa, g_w=g_w, g_a=g_a, tau_a=tau_a, tau_m=tau_m, sigma=sigma, G=G, tau_z_pre_ampa=tau_z_pre_ampa, tau_z_post_ampa=tau_z_post_ampa, tau_p=tau_p, z_transfer=z_transfer, diagonal_zero=diagonal_zero, strict_maximum=strict_maximum, perfect=perfect, k_perfect=k_perfect, always_learning=always_learning, normalized_currents=normalized_currents) # Build the manager manager = NetworkManager(nn=nn, dt=dt, values_to_save=values_to_save) # Build the protocol for training nn.w_ampa = w_timed # Recall patterns_indexes = [i for i in range(n_patterns)] sequences = [patterns_indexes] # manager.run_network_recall(T_recall=1.0, T_cue=0.100, I_cue=0, reset=True, empty_history=True) aux = calculate_recall_time_quantities(manager, T_recall, T_cue, n, sequences) total_sequence_time, mean, std, success, timings = aux w_self, w_next, w_rest = get_weights(manager, from_pattern, to_pattern, mean=False) success_vector[index] = success persistence_time_vector[index] = mean w_self_vector[index] = w_self w_next_vector[index] = w_next w_rest_vector[index] = w_rest pi_self_vector[index] = pi[from_pattern] * pj[from_pattern] Pij_self_vector[index] = P[from_pattern, from_pattern] pi_next_vector[index] = pi[from_pattern] * pj[to_pattern] Pij_next_vector[index] = P[to_pattern, from_pattern] pi_rest_vector[index] = pi[from_pattern] * pj[to_pattern + 1] Pij_rest_vector[index] = P[to_pattern + 1, from_pattern] # Plot filename = 'ISI_' x_values = inter_sequence_times xlabel = r'$ISI (s)$' generate_plot_for_variable(filename, x_values, xlabel) ########################## # Inter Pulse Interval ########################## if plot_inter_pulse_interval: num = 15 inter_pulse_times = np.linspace(0.0, 1.0, num=num) success_vector = np.zeros(num) persistence_time_vector = np.zeros(num) w_self_vector = np.zeros(num) w_next_vector = np.zeros(num) w_rest_vector = np.zeros(num) pi_self_vector = np.zeros(num) Pij_self_vector = np.zeros(num) pi_next_vector = np.zeros(num) Pij_next_vector = np.zeros(num) pi_rest_vector = np.zeros(num) Pij_rest_vector = np.zeros(num) for index, inter_pulse_interval_ in enumerate(inter_pulse_times): matrix = create_orthogonal_canonical_representation(minicolumns, hypercolumns)[:n_patterns] network_representation = build_network_representation(matrix, minicolumns, hypercolumns) timed_input = TimedInput(network_representation, dt, training_time, inter_pulse_interval=inter_pulse_interval_, inter_sequence_interval=inter_sequence_interval, epochs=epochs, resting_time=resting_time) S = timed_input.build_timed_input() z_pre = timed_input.build_filtered_input_pre(tau_z_pre_ampa) z_post = timed_input.build_filtered_input_post(tau_z_pre_ampa) pi, pj, P = timed_input.calculate_probabilities_from_time_signal(filtered=True) w_timed, beta_timed = get_weights_from_probabilities(pi, pj, P, minicolumns, hypercolumns, epsilon) # Patterns parameters nn = BCPNNPerfect(hypercolumns, minicolumns, g_w_ampa=g_w_ampa, g_w=g_w, g_a=g_a, tau_a=tau_a, tau_m=tau_m, sigma=sigma, G=G, tau_z_pre_ampa=tau_z_pre_ampa, tau_z_post_ampa=tau_z_post_ampa, tau_p=tau_p, z_transfer=z_transfer, diagonal_zero=diagonal_zero, strict_maximum=strict_maximum, perfect=perfect, k_perfect=k_perfect, always_learning=always_learning, normalized_currents=normalized_currents) # Build the manager manager = NetworkManager(nn=nn, dt=dt, values_to_save=values_to_save) # Build the protocol for training nn.w_ampa = w_timed # Recall patterns_indexes = [i for i in range(n_patterns)] sequences = [patterns_indexes] # manager.run_network_recall(T_recall=1.0, T_cue=0.100, I_cue=0, reset=True, empty_history=True) aux = calculate_recall_time_quantities(manager, T_recall, T_cue, n, sequences) total_sequence_time, mean, std, success, timings = aux w_self, w_next, w_rest = get_weights(manager, from_pattern, to_pattern, mean=False) success_vector[index] = success persistence_time_vector[index] = mean w_self_vector[index] = w_self w_next_vector[index] = w_next w_rest_vector[index] = w_rest pi_self_vector[index] = pi[from_pattern] * pj[from_pattern] Pij_self_vector[index] = P[from_pattern, from_pattern] pi_next_vector[index] = pi[from_pattern] * pj[to_pattern] Pij_next_vector[index] = P[to_pattern, from_pattern] pi_rest_vector[index] = pi[from_pattern] * pj[to_pattern + 1] Pij_rest_vector[index] = P[to_pattern + 1, from_pattern] # Plot filename = 'IPI_' x_values = inter_pulse_times xlabel = r'$IPI (s)$' generate_plot_for_variable(filename, x_values, xlabel) ######################## # Minicolumns ######################## if plot_minicolumns_fixed: num = 20 minicolumns_vector = np.linspace(10, 100, num=num, dtype='int') success_vector = np.zeros(num) persistence_time_vector = np.zeros(num) w_self_vector = np.zeros(num) w_next_vector = np.zeros(num) w_rest_vector = np.zeros(num) pi_self_vector = np.zeros(num) Pij_self_vector = np.zeros(num) pi_next_vector = np.zeros(num) Pij_next_vector = np.zeros(num) pi_rest_vector = np.zeros(num) Pij_rest_vector = np.zeros(num) for index, minicolumns_ in enumerate(minicolumns_vector): matrix = create_orthogonal_canonical_representation(minicolumns_, hypercolumns)[:n_patterns] network_representation = build_network_representation(matrix, minicolumns_, hypercolumns) timed_input = TimedInput(network_representation, dt, training_time, inter_pulse_interval=inter_pulse_interval, inter_sequence_interval=inter_sequence_interval, epochs=epochs, resting_time=resting_time) S = timed_input.build_timed_input() z_pre = timed_input.build_filtered_input_pre(tau_z_pre_ampa) z_post = timed_input.build_filtered_input_post(tau_z_pre_ampa) pi, pj, P = timed_input.calculate_probabilities_from_time_signal(filtered=True) w_timed, beta_timed = get_weights_from_probabilities(pi, pj, P, minicolumns_, hypercolumns, epsilon) # Patterns parameters nn = BCPNNPerfect(hypercolumns, minicolumns_, g_w_ampa=g_w_ampa, g_w=g_w, g_a=g_a, tau_a=tau_a, tau_m=tau_m, sigma=sigma, G=G, tau_z_pre_ampa=tau_z_pre_ampa, tau_z_post_ampa=tau_z_post_ampa, tau_p=tau_p, z_transfer=z_transfer, diagonal_zero=diagonal_zero, strict_maximum=strict_maximum, perfect=perfect, k_perfect=k_perfect, always_learning=always_learning, normalized_currents=normalized_currents) # Build the manager manager = NetworkManager(nn=nn, dt=dt, values_to_save=values_to_save) # Build the protocol for training nn.w_ampa = w_timed # Recall patterns_indexes = [i for i in range(n_patterns)] sequences = [patterns_indexes] T_recall = 0.200 * n_patterns # manager.run_network_recall(T_recall=1.0, T_cue=0.100, I_cue=0, reset=True, empty_history=True) aux = calculate_recall_time_quantities(manager, T_recall, T_cue, n, sequences) total_sequence_time, mean, std, success, timings = aux w_self, w_next, w_rest = get_weights(manager, from_pattern, to_pattern, mean=False) w_rest = w_timed[to_pattern + 1, from_pattern] success_vector[index] = success persistence_time_vector[index] = mean w_self_vector[index] = w_self w_next_vector[index] = w_next w_rest_vector[index] = w_rest pi_self_vector[index] = pi[from_pattern] * pj[from_pattern] Pij_self_vector[index] = P[from_pattern, from_pattern] pi_next_vector[index] = pi[from_pattern] * pj[to_pattern] Pij_next_vector[index] = P[to_pattern, from_pattern] pi_rest_vector[index] = pi[from_pattern] * pj[to_pattern + 1] Pij_rest_vector[index] = P[to_pattern + 1, from_pattern] # Plot filename = 'minicolumns_fixed_' x_values = minicolumns_vector xlabel = r'Minicolumns' generate_plot_for_variable(filename, x_values, xlabel) ############################### # Minicolumns Variable ############################### if plot_minicolumns_var: num = 20 minicolumns_vector = np.linspace(10, 100, num=num, dtype='int') success_vector = np.zeros(num) persistence_time_vector = np.zeros(num) w_self_vector = np.zeros(num) w_next_vector = np.zeros(num) w_rest_vector = np.zeros(num) pi_self_vector = np.zeros(num) Pij_self_vector = np.zeros(num) pi_next_vector = np.zeros(num) Pij_next_vector = np.zeros(num) pi_rest_vector = np.zeros(num) Pij_rest_vector = np.zeros(num) for index, minicolumns_ in enumerate(minicolumns_vector): n_patterns_ = minicolumns_ matrix = create_orthogonal_canonical_representation(minicolumns_, hypercolumns)[:n_patterns_] network_representation = build_network_representation(matrix, minicolumns_, hypercolumns) timed_input = TimedInput(network_representation, dt, training_time, inter_pulse_interval=inter_pulse_interval, inter_sequence_interval=inter_sequence_interval, epochs=epochs, resting_time=resting_time) S = timed_input.build_timed_input() z_pre = timed_input.build_filtered_input_pre(tau_z_pre_ampa) z_post = timed_input.build_filtered_input_post(tau_z_pre_ampa) pi, pj, P = timed_input.calculate_probabilities_from_time_signal(filtered=True) w_timed, beta_timed = get_weights_from_probabilities(pi, pj, P, minicolumns_, hypercolumns, epsilon) # Patterns parameters nn = BCPNNPerfect(hypercolumns, minicolumns_, g_w_ampa=g_w_ampa, g_w=g_w, g_a=g_a, tau_a=tau_a, tau_m=tau_m, sigma=sigma, G=G, tau_z_pre_ampa=tau_z_pre_ampa, tau_z_post_ampa=tau_z_post_ampa, tau_p=tau_p, z_transfer=z_transfer, diagonal_zero=diagonal_zero, strict_maximum=strict_maximum, perfect=perfect, k_perfect=k_perfect, always_learning=always_learning, normalized_currents=normalized_currents) # Build the manager manager = NetworkManager(nn=nn, dt=dt, values_to_save=values_to_save) # Build the protocol for training nn.w_ampa = w_timed # Recall patterns_indexes = [i for i in range(n_patterns_)] sequences = [patterns_indexes] T_recall = 0.200 * n_patterns_ aux = calculate_recall_time_quantities(manager, T_recall, T_cue, n, sequences) total_sequence_time, mean, std, success, timings = aux w_self, w_next, w_rest = get_weights(manager, from_pattern, to_pattern, mean=False) success_vector[index] = success persistence_time_vector[index] = mean w_self_vector[index] = w_self w_next_vector[index] = w_next w_rest_vector[index] = w_rest pi_self_vector[index] = pi[from_pattern] * pj[from_pattern] Pij_self_vector[index] = P[from_pattern, from_pattern] pi_next_vector[index] = pi[from_pattern] * pj[to_pattern] Pij_next_vector[index] = P[to_pattern, from_pattern] pi_rest_vector[index] = pi[from_pattern] * pj[to_pattern + 1] Pij_rest_vector[index] = P[to_pattern + 1, from_pattern] # Plot filename = 'minicolumns_var_' x_values = minicolumns_vector xlabel = r'Minicolumns' generate_plot_for_variable(filename, x_values, xlabel) ####################### # Hypercolumns ####################### if plot_hypercolumns: num = 10 hypercolumns_vector = np.linspace(1, 10, num=num, dtype='int') success_vector = np.zeros(num) persistence_time_vector = np.zeros(num) w_self_vector = np.zeros(num) w_next_vector = np.zeros(num) w_rest_vector = np.zeros(num) pi_self_vector = np.zeros(num) Pij_self_vector = np.zeros(num) pi_next_vector = np.zeros(num) Pij_next_vector = np.zeros(num) pi_rest_vector = np.zeros(num) Pij_rest_vector = np.zeros(num) for index, hypercolumns_ in enumerate(hypercolumns_vector): matrix = create_orthogonal_canonical_representation(minicolumns, hypercolumns_)[:n_patterns] network_representation = build_network_representation(matrix, minicolumns, hypercolumns_) timed_input = TimedInput(network_representation, dt, training_time, inter_pulse_interval=inter_pulse_interval, inter_sequence_interval=inter_sequence_interval, epochs=epochs, resting_time=resting_time) S = timed_input.build_timed_input() z_pre = timed_input.build_filtered_input_pre(tau_z_pre_ampa) z_post = timed_input.build_filtered_input_post(tau_z_pre_ampa) pi, pj, P = timed_input.calculate_probabilities_from_time_signal(filtered=True) w_timed, beta_timed = get_weights_from_probabilities(pi, pj, P, minicolumns, hypercolumns_, epsilon) # Patterns parameters nn = BCPNNPerfect(hypercolumns_, minicolumns, g_w_ampa=g_w_ampa, g_w=g_w, g_a=g_a, tau_a=tau_a, tau_m=tau_m, sigma=sigma, G=G, tau_z_pre_ampa=tau_z_pre_ampa, tau_z_post_ampa=tau_z_post_ampa, tau_p=tau_p, z_transfer=z_transfer, diagonal_zero=diagonal_zero, strict_maximum=strict_maximum, perfect=perfect, k_perfect=k_perfect, always_learning=always_learning, normalized_currents=normalized_currents) # Build the manager manager = NetworkManager(nn=nn, dt=dt, values_to_save=values_to_save) # Build the protocol for training nn.w_ampa = w_timed # Recall patterns_indexes = [i for i in range(n_patterns)] sequences = [patterns_indexes] # manager.run_network_recall(T_recall=1.0, T_cue=0.100, I_cue=0, reset=True, empty_history=True) aux = calculate_recall_time_quantities(manager, T_recall, T_cue, n, sequences) total_sequence_time, mean, std, success, timings = aux w_self, w_next, w_rest = get_weights(manager, from_pattern, to_pattern, mean=False) w_rest = w_timed[to_pattern + 1, from_pattern] success_vector[index] = success persistence_time_vector[index] = mean w_self_vector[index] = w_self w_next_vector[index] = w_next w_rest_vector[index] = w_rest pi_self_vector[index] = pi[from_pattern] * pj[from_pattern] Pij_self_vector[index] = P[from_pattern, from_pattern] pi_next_vector[index] = pi[from_pattern] * pj[to_pattern] Pij_next_vector[index] = P[to_pattern, from_pattern] pi_rest_vector[index] = pi[from_pattern] * pj[to_pattern + 1] Pij_rest_vector[index] = P[to_pattern + 1, from_pattern] # Plot filename = 'hypercolumns_' x_values = hypercolumns_vector xlabel = r'Hypercolumns' generate_plot_for_variable(filename, x_values, xlabel) plt.close()

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null

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1

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null

0

7

741c1d9921cb8c102685856d7459fbd8665f223a

3,037

py

Python

service/restapi_service.py

estuaryoss/discovery-cli

49b2eee58d14430aa58071aad9a368b4164ef898

[ "Apache-2.0" ]

null

service/restapi_service.py

estuaryoss/discovery-cli

49b2eee58d14430aa58071aad9a368b4164ef898

[ "Apache-2.0" ]

null

service/restapi_service.py

estuaryoss/discovery-cli

49b2eee58d14430aa58071aad9a368b4164ef898

[ "Apache-2.0" ]

null

import re import requests from requests.auth import HTTPBasicAuth class RestApiService: def __init__(self, connection): self.conn = connection def about(self): endpoint = "/about" url_format = f"{self.conn.get('homePageUrl')}{endpoint}" headers = { "Content-Type": "application/json" } response = requests.get(url_format, headers=headers, timeout=5, verify=self.conn.get('cert'), auth=HTTPBasicAuth(self.conn.get('username'), self.conn.get('password'))) if response.status_code != 200: raise BaseException("Error: Http code: {}. Http body: {}".format(response.status_code, response.text)) return response.json() def ping(self): endpoint = "/ping" url_format = f"{self.conn.get('homePageUrl')}{endpoint}" headers = { "Content-Type": "application/json" } response = requests.get(url_format, headers=headers, timeout=5, verify=self.conn.get('cert'), auth=HTTPBasicAuth(self.conn.get('username'), self.conn.get('password'))) if response.status_code != 200: raise BaseException("Error: Http code: {}. Http body: {}".format(response.status_code, response.text)) return response.json() def get_commands(self): endpoint = "/agents/commands" url_format = f"{self.conn.get('homePageUrl')}{endpoint}" headers = { "Content-Type": "application/json" } response = requests.get(url_format, headers=headers, timeout=5, verify=self.conn.get('cert'), auth=HTTPBasicAuth(self.conn.get('username'), self.conn.get('password'))) # error, server sent non 20x code if not re.search('^20\d$', str(response.status_code)): print(response.json()) return {'description': []} body = response.json() # error, the type should be dict if isinstance(body['description'], str): print(body.get('description')) return {'description': []} return body def get_eureka_apps(self): endpoint = "/eureka/apps" url_format = f"{self.conn.get('homePageUrl')}{endpoint}" headers = { "Content-Type": "application/json" } response = requests.get(url_format, headers=headers, timeout=5, verify=self.conn.get('cert'), auth=HTTPBasicAuth(self.conn.get('username'), self.conn.get('password'))) # error, server sent non 20x code if not re.search('^20\d$', str(response.status_code)): print(response.json()) return {'description': {}} body = response.json() # error, the type should be dict if isinstance(body['description'], str): print(body.get('description')) return {'description': {}} return body def get_connection(self): return self.conn

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0.851873

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0.008246

0.281199

3,037

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0.041159

0

0.677419

0

0.192982

0.05504

0

1

0.096774

false

0.064516

0.048387

0.016129

0.306452

0.064516

0

null

0

1

0

null

0

1

0

7

742f99cc65dd0b73aadb4762d17f9a427f8acc40

2,962

py

Python

day_01.py

philarmour/aoc-2017

94fed879c766a41f55a6fa1a1e3d02fc1b5b366e

[ "Apache-2.0" ]

null

day_01.py

philarmour/aoc-2017

94fed879c766a41f55a6fa1a1e3d02fc1b5b366e

[ "Apache-2.0" ]

null

day_01.py

philarmour/aoc-2017

94fed879c766a41f55a6fa1a1e3d02fc1b5b366e

[ "Apache-2.0" ]

null

captcha="428122498997587283996116951397957933569136949848379417125362532269869461185743113733992331379856446362482129646556286611543756564275715359874924898113424472782974789464348626278532936228881786273586278886575828239366794429223317476722337424399239986153675275924113322561873814364451339186918813451685263192891627186769818128715595715444565444581514677521874935942913547121751851631373316122491471564697731298951989511917272684335463436218283261962158671266625299188764589814518793576375629163896349665312991285776595142146261792244475721782941364787968924537841698538288459355159783985638187254653851864874544584878999193242641611859756728634623853475638478923744471563845635468173824196684361934269459459124269196811512927442662761563824323621758785866391424778683599179447845595931928589255935953295111937431266815352781399967295389339626178664148415561175386725992469782888757942558362117938629369129439717427474416851628121191639355646394276451847131182652486561415942815818785884559193483878139351841633366398788657844396925423217662517356486193821341454889283266691224778723833397914224396722559593959125317175899594685524852419495793389481831354787287452367145661829287518771631939314683137722493531318181315216342994141683484111969476952946378314883421677952397588613562958741328987734565492378977396431481215983656814486518865642645612413945129485464979535991675776338786758997128124651311153182816188924935186361813797251997643992686294724699281969473142721116432968216434977684138184481963845141486793996476793954226225885432422654394439882842163295458549755137247614338991879966665925466545111899714943716571113326479432925939227996799951279485722836754457737668191845914566732285928453781818792236447816127492445993945894435692799839217467253986218213131249786833333936332257795191937942688668182629489191693154184177398186462481316834678733713614889439352976144726162214648922159719979143735815478633912633185334529484779322818611438194522292278787653763328944421516569181178517915745625295158611636365253948455727653672922299582352766484" # captcha="123123" def check(val, next): if val == next: return int(val) else: return 0 def two(): sum = 0 dist = int(len(captcha) / 2) for i, d in enumerate(captcha): # print("i={}; d={}; i+dist={}; i + dist - len(captcha)={}".format(i,d,(i + dist),(i + dist - len(captcha)))) if i + dist > len(captcha) - 1: next = captcha[(i + dist - len(captcha))] else: next = captcha[(i + dist)] sum += check(d, next) print("sum is {}".format(sum)) def one(): sum = 0 for i, d in enumerate(captcha): # print("i={}; d={}".format(i,d)) if i == len(captcha) - 1: next = captcha[0] else: next = captcha[i] sum += check(d, next) print("sum is {}".format(sum)) def main(): # one() two() if __name__ == "__main__": main()

55.886792

2,062

0.836597

121

2,962

20.413223

0.239669

0.01417

0.012955

0.024292

0.087449

0.069636

0.052632

0.02834

0

0.778951

0.104997

2,962

52

2,063

56.961538

0.152773

0.054693

0

0.37931

0

0.743737

0.734431

0

1

0

1

0.137931

false

0

0.206897

0.068966

0

1

null

0

1

0

1

0

1

0

1

null

1

0

7

7435d25b2e20cacd6a8d1f812d3a6df1b859ce67

2,913

py

Python

clients/python/pacman.py

jsestrich/light-project

3b00472feb859dc8a4a839e976fdfbb70bd23c1b

[ "CC0-1.0" ]

1

2018-01-31T14:18:19.000Z

clients/python/pacman.py

jsestrich/light-project

3b00472feb859dc8a4a839e976fdfbb70bd23c1b

[ "CC0-1.0" ]

null

clients/python/pacman.py

jsestrich/light-project

3b00472feb859dc8a4a839e976fdfbb70bd23c1b

[ "CC0-1.0" ]

null

#!/usr/bin/env python # Open Pixel Control client: All lights to solid white import opc, time w = 8 h = 8 numLEDs = w * h client = opc.Client('localhost:8080') pixels = [(0, 0, 0)] * numLEDs PACMAN_IMGS = [ [ [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0], [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] ], [ [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0], [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0], [0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] ], [ [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] ], ]; black = (0,0,0) white = (255,255,255) yellow = (100, 100, 0) offset = 0 while True: for x in range(w): for y in range(h): if (PACMAN_IMGS[offset % len(PACMAN_IMGS)][y * 2][x * 2] > 0): pixels[x + y * w] = yellow else: pixels[x + y * w] = black client.put_pixels(pixels) time.sleep(0.5) offset += 1

35.52439

74

0.343289

769

2,913

1.295189

0.059818

0.63253

0.822289

0.943775

0.677711

0

0.38172

0.361483

2,913

81

75

35.962963

0.153763

0.02506

0

0.643836

0

0.004933

0

1

0

false

0

0.013699

0

0.013699

0

1

null

1

0

1

0

1

0

1

0

null

0

7

77943aec4b1c16db9048237350d8d48977293d28

306

py

Python

main.py

PoPoPoPony/flow_bot

682eb653b7194a1e72e499a552a2512d3ac1b373

[ "MIT" ]

null

main.py

PoPoPoPony/flow_bot

682eb653b7194a1e72e499a552a2512d3ac1b373

[ "MIT" ]

null

main.py

PoPoPoPony/flow_bot

682eb653b7194a1e72e499a552a2512d3ac1b373

[ "MIT" ]

null

import flow ip_lst = flow.get_ip_lst_1() flow.check_ip(ip_lst, song_id=157014) ip_lst = flow.get_ip_lst_2() flow.check_ip(ip_lst, song_id=157014) ip_lst = flow.get_ip_lst_3() flow.check_ip(ip_lst, song_id=157014) ip_lst = flow.get_ip_lst_4(3) flow.check_ip(ip_lst, song_id=157014)

17

38

0.728758

63

306

3.095238

0.206349

0.307692

0.184615

0.246154

0.933333

0.846154

0.692308

0

0.111969

0.153595

306

17

39

18

0.640927

0

0.444444

0

1

0

false

0

0.111111

0

0.111111

0

null

1

0

null

0

9

77ae5b2dd2890a2f970641fe663643086fa494e8

10,061

py

Python

src/foreign_if/python/main/python/frovedis/mllib/tree.py

wmeddie/frovedis

c134e5e64114799cc7c265c72525ff98d06b49c1

[ "BSD-2-Clause" ]

null

src/foreign_if/python/main/python/frovedis/mllib/tree.py

wmeddie/frovedis

c134e5e64114799cc7c265c72525ff98d06b49c1

[ "BSD-2-Clause" ]

null

src/foreign_if/python/main/python/frovedis/mllib/tree.py

wmeddie/frovedis

c134e5e64114799cc7c265c72525ff98d06b49c1

[ "BSD-2-Clause" ]

null

#!/usr/bin/env python from .model_util import * from ..exrpc.rpclib import * from ..exrpc.server import * from ..matrix.ml_data import FrovedisLabeledPoint from ..matrix.dtype import TypeUtil from .metrics import * import numpy as np # Decision Tree Regressor Class class DecisionTreeRegressor: "A python wrapper of Frovedis Decision Tree Regressor" """ parameter : default value criterion or impurity : 'mse' plitter : 'best' in_impurity_decrease : 0.0 in_samples_split : 2 min_samples_leaf : 1 in_weight_fraction_leaf : 0.0 presort : False verbose : 0 """ # defaults are as per Frovedis/scikit-learn # Decision Tree Regressor constructor def __init__(cls, criterion='mse', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=None, random_state=None, max_leaf_nodes=1, min_impurity_decrease=0.0, min_impurity_split=None, class_weight=None, presort=False, min_info_gain = 0.0, max_bins = 32, verbose = 0): cls.criterion = criterion.upper() cls.splitter = splitter if max_depth is None: cls.max_depth = 5 else: cls.max_depth = max_depth cls.min_samples_split = min_samples_split cls.min_samples_leaf = min_samples_leaf cls.min_weight_fraction_leaf = min_weight_fraction_leaf cls.max_features = max_features cls.random_state = random_state cls.max_leaf_nodes = max_leaf_nodes cls.min_impurity_decrease = min_impurity_decrease cls.min_impurity_split = min_impurity_split cls.class_weight = class_weight cls.presort = presort cls.verbose = verbose # extra cls.__mid = None cls.__mdtype = None cls.__mkind = M_KIND.DTM # Frovedis side parameters cls.min_info_gain = min_info_gain cls.max_bins = max_bins cls.algo = "Regression" cls.n_classes_ = 0 #To validate the input parameters def validate(cls): if cls.criterion != "MSE": raise ValueError("Invalid criterion for Decision Tree Regressor!") elif cls.max_depth < 0: raise ValueError("max depth can not be negative !") elif cls.min_info_gain < 0: raise ValueError("Value of min_info_gain should be greater than 0") elif cls.max_bins < 0: raise ValueError("Value of max_bin should be greater than 0") elif cls.n_classes_ < 0: raise ValueError("Value of number of classes should be +ve integer or zero!") elif cls.min_samples_leaf < 0: raise ValueError("Value of min_samples_leaf should be greater than 0!") # Fit Decision Tree Regressor according to X (input data), y (Label) def fit(cls, X, y): cls.validate() cls.release() cls.__mid = ModelID.get() inp_data = FrovedisLabeledPoint(X,y) (X, y) = inp_data.get() dtype = inp_data.get_dtype() itype = inp_data.get_itype() dense = inp_data.is_dense() cls.__mdtype = dtype (host,port) = FrovedisServer.getServerInstance() rpclib.dt_train(host,port,X.get(),y.get(), cls.algo.encode('ascii'), cls.criterion.encode('ascii'), cls.max_depth, cls.n_classes_, cls.max_bins, cls.min_samples_leaf, cls.min_info_gain, cls.verbose, cls.__mid, dtype, itype, dense) excpt = rpclib.check_server_exception() if excpt["status"]: raise RuntimeError(excpt["info"]) return cls # Perform prediction on an array of test vectors X. def predict(cls,X): if cls.__mid is not None: return GLM.predict(X,cls.__mid,cls.__mkind,cls.__mdtype,False) else: raise ValueError("predict is called before calling fit, or the model is released.") # Load the model from a file def load(cls,fname,dtype=None): cls.release() cls.__mid = ModelID.get() if dtype is None: if cls.__mdtype is None: raise TypeError("model type should be specified for loading from file!") else: cls.__mdtype = TypeUtil.to_id_dtype(dtype) GLM.load(cls.__mid,cls.__mkind,cls.__mdtype,fname) return cls # Save model to a file def save(cls,fname): if cls.__mid is not None: GLM.save(cls.__mid,cls.__mkind,cls.__mdtype,fname) # calculate the root mean square value on the given test data and labels. def score(cls, X, y): if cls.__mid is not None: return r2_score(y, cls.predict(X)) # Show the model def debug_print(cls): if cls.__mid is not None: GLM.debug_print(cls.__mid,cls.__mkind,cls.__mdtype) # Release the model-id to generate new model-id def release(cls): if cls.__mid is not None: GLM.release(cls.__mid,cls.__mkind,cls.__mdtype) cls.__mid = None # Check FrovedisServer is up then release def __del__(cls): if FrovedisServer.isUP(): cls.release() # Decision Tree Classifier Class class DecisionTreeClassifier: "A python wrapper of Frovedis Decision Tree Classifier" """ parameter : default value criterion or impurity : 'gini' splitter : 'best' min_impurity_decrease : 0.0 min_samples_split : 2 min_samples_leaf : 1 min_weight_fraction_leaf : 0.0 presort : False verbose : 0 """ # defaults are as per Frovedis/scikit-learn # Decision Tree Regressor constructor def __init__(cls, criterion='gini', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=None, random_state=None, max_leaf_nodes=1, min_impurity_decrease=0.0, min_impurity_split=None, class_weight=None, presort=False,min_info_gain=0.0, max_bins=32,verbose=0): cls.criterion = criterion.upper() cls.splitter = splitter if max_depth is None: cls.max_depth = 5 else: cls.max_depth = max_depth cls.min_samples_split = min_samples_split cls.min_samples_leaf = min_samples_leaf cls.min_weight_fraction_leaf = min_weight_fraction_leaf cls.max_features = max_features cls.random_state = random_state cls.min_impurity_decrease = min_impurity_decrease cls.min_impurity_split = min_impurity_split cls.class_weight = class_weight cls.max_leaf_nodes = max_leaf_nodes cls.presort = presort cls.verbose = verbose # extra cls.__mid = None cls.__mdtype = None cls.__mkind = M_KIND.DTM # Frovedis side parameters cls.min_info_gain = min_info_gain cls.max_bins = max_bins cls.algo = "Classification" def validate(cls): if cls.criterion != "GINI" and cls.criterion != "ENTROPY": raise ValueError("Invalid criterion for Decision Tree Regressor!") elif cls.max_depth < 0: raise ValueError("max depth can not be negative !") elif cls.min_info_gain < 0: raise ValueError("Value of min_info_gain should be greater than 0") elif cls.max_bins < 0: raise ValueError("Value of max_bin should be greater than 0") elif cls.min_samples_leaf < 0: raise ValueError("Value of min_samples_leaf should be greater than 0!") elif cls.n_classes_ < 0: raise ValueError("Value of number of classes should be +ve integer or zero!") # Fit Decision Tree classifier according to X (input data), y (Label) def fit(cls, X, y): # compute number of classes in given label vector (y) n_labels = [] for e in y: if e not in n_labels: n_labels.append(e) cls.n_classes_ = len(n_labels) # validate hyper-parameters cls.validate() # release old model, if any cls.release() # perform the fit cls.__mid = ModelID.get() inp_data = FrovedisLabeledPoint(X,y) (X, y) = inp_data.get() dtype = inp_data.get_dtype() itype = inp_data.get_itype() dense = inp_data.is_dense() cls.__mdtype = dtype (host,port) = FrovedisServer.getServerInstance() rpclib.dt_train(host,port,X.get(),y.get(), cls.algo.encode('ascii'), cls.criterion.encode('ascii'), cls.max_depth, cls.n_classes_, cls.max_bins, cls.min_samples_leaf, cls.min_info_gain, cls.verbose, cls.__mid, dtype, itype, dense) excpt = rpclib.check_server_exception() if excpt["status"]: raise RuntimeError(excpt["info"]) return cls # Perform classification on an array of test vectors X. def predict(cls,X): if cls.__mid is not None: return GLM.predict(X,cls.__mid,cls.__mkind,cls.__mdtype,False) else: raise ValueError("predict is called before calling fit, or the model is released.") # Perform classification on an array and return probability estimates for the test vector X. def predict_proba(cls,X): if cls.__mid is not None: return GLM.predict(X,cls.__mid,cls.__mkind,cls.__mdtype,True) else: raise ValueError("predict is called before calling fit, or the model is released.") # Load the model from a file def load(cls,fname,dtype=None): cls.release() cls.__mid = ModelID.get() if dtype is None: if cls.__mdtype is None: raise TypeError("model type should be specified for loading from file!") else: cls.__mdtype = TypeUtil.to_id_dtype(dtype) GLM.load(cls.__mid,cls.__mkind,cls.__mdtype,fname) return cls # calculate the mean accuracy on the given test data and labels. def score(cls,X,y): if cls.__mid is not None: return accuracy_score(y, cls.predict(X)) # Save model to a file def save(cls,fname): if cls.__mid is not None: GLM.save(cls.__mid,cls.__mkind,cls.__mdtype,fname) # Show the model def debug_print(cls): if cls.__mid is not None: GLM.debug_print(cls.__mid,cls.__mkind,cls.__mdtype) # Release the model-id to generate new model-id def release(cls): if cls.__mid is not None: GLM.release(cls.__mid,cls.__mkind,cls.__mdtype) cls.__mid = None # Check FrovedisServer is up then release def __del__(cls): if FrovedisServer.isUP(): cls.release()

36.060932

94

0.678163

1,461

10,061

4.414784

0.13347

0.029767

0.030388

0.017054

0.869767

0.857674

0.831783

0.816279

0.808837

0

0.007485

0.229798

10,061

278

95

36.190647

0.824881

0.132094

0

0.84456

0

0.126291

0

1

0.108808

false

0

0.036269

0

0.202073

0.020725

0

null

0

1

0

1

0

null

0

7

77afb70f992cb547996100055ca785fdf64c44c6

183

py

Python

venv/Scripts/ex096.py

SamuelNunesDev/starting_point_in_python

9a9e39cabb5f3526ee0037012e3943898c1d9dfa

[ "MIT" ]

null

venv/Scripts/ex096.py

SamuelNunesDev/starting_point_in_python

9a9e39cabb5f3526ee0037012e3943898c1d9dfa

[ "MIT" ]

null

venv/Scripts/ex096.py

SamuelNunesDev/starting_point_in_python

9a9e39cabb5f3526ee0037012e3943898c1d9dfa

[ "MIT" ]

null

def area(l, c): return f'A área do terreno {l}x{c} é de {l * c:.2f} m²' print(area(float(input('Qual a largura do terreno? ')), float(input('Qual o comprimento do terreno? '))))

36.6

105

0.639344

35

183

3.342857

0.628571

0.230769

0.239316

0

0.013245

0.174863

183

4

106

45.75

0.761589

0

0.333333

0.562842

0

1

0.333333

false

0

0.333333

0.666667

0.333333

0

null

1

0

1

0

1

0

null

0

1

0

1

0

7

77fb348a4025f86570371535f2d3c6aa8aaffff8

1,229

py

Python

examples/markdown/estimatingtheareaofacircleMD/problem_statement/gen_xfig_points.py

etdickey/problemtools

6ab0e6fc3b00893bda387d25c5fef0f36b4a9be0

[ "MIT" ]

null

examples/markdown/estimatingtheareaofacircleMD/problem_statement/gen_xfig_points.py

etdickey/problemtools

6ab0e6fc3b00893bda387d25c5fef0f36b4a9be0

[ "MIT" ]

null

examples/markdown/estimatingtheareaofacircleMD/problem_statement/gen_xfig_points.py

etdickey/problemtools

6ab0e6fc3b00893bda387d25c5fef0f36b4a9be0

[ "MIT" ]

null

#!/usr/bin/python """Generate 75 points inside and 25 points outside the circle""" import random boundary_x = (3300, 7700) boundary_y = (3000, 7400) radius_2 = 2250 ** 2 center_x = 5490 center_y = 5220 point_radius = 45 count = 0 while count < 75: cx = random.randint(*boundary_x) cy = random.randint(*boundary_y) if (cx - center_x) ** 2 + (cy - center_y) ** 2 < radius_2: sx = cx - (point_radius - 1) / 2 sy = cy - (point_radius - 1) / 2 ex = cx + (point_radius - 1) / 2 ey = cy + (point_radius - 1) / 2 print '1 4 0 1 0 0 50 -1 20 0.000 1 0.0000 {cx} {cy} {point_radius} {point_radius} {sx} {sy} {ex} {ey}'.format(**locals()) count += 1 count = 0 while count < 25: cx = random.randint(*boundary_x) cy = random.randint(*boundary_y) if (cx - center_x) ** 2 + (cy - center_y) ** 2 >= radius_2: sx = cx - (point_radius - 1) / 2 sy = cy - (point_radius - 1) / 2 ex = cx + (point_radius - 1) / 2 ey = cy + (point_radius - 1) / 2 print '1 4 0 1 0 0 50 -1 20 0.000 1 0.0000 {cx} {cy} {point_radius} {point_radius} {sx} {sy} {ex} {ey}'.format(**locals()) count += 1

29.261905

131

0.540277

194

1,229

3.278351

0.252577

0.224843

0.150943

0.163522

0.701258

0

0.127059

0.308381

1,229

41

132

29.97561

0.621176

0.013019

0

0.62069

1

0.068966

0.165505

0

null

0

0.034483

null

0.068966

0

null

1

0

1

0

1

0

1

0

null

0

1

0

9

24b88f8120db1c60cb2aec3bad7360bf7727c63f

29,754

py

Python

tests/medianizer_test.py

fxfactorial/open-oracle-medianizer

5b642a8d6f64b61c41759eaf370d673da5eeacd4

[ "MIT" ]

null

tests/medianizer_test.py

fxfactorial/open-oracle-medianizer

5b642a8d6f64b61c41759eaf370d673da5eeacd4

[ "MIT" ]

null

tests/medianizer_test.py

fxfactorial/open-oracle-medianizer

5b642a8d6f64b61c41759eaf370d673da5eeacd4

[ "MIT" ]

1

2021-09-05T22:34:24.000Z

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py

Python

Modulo_1/semana2/variables_contantes/verificar-palabras-reservadas.py

rubens233/cocid_python

492ebdf21817e693e5eb330ee006397272f2e0cc

[ "MIT" ]

null

Modulo_1/semana2/variables_contantes/verificar-palabras-reservadas.py

rubens233/cocid_python

492ebdf21817e693e5eb330ee006397272f2e0cc

[ "MIT" ]

null

Modulo_1/semana2/variables_contantes/verificar-palabras-reservadas.py

rubens233/cocid_python

492ebdf21817e693e5eb330ee006397272f2e0cc

[ "MIT" ]

1

2022-03-04T00:57:18.000Z

import keyword print(keyword.iskeyword('as')) print(keyword.iskeyword('x'))

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py

Python

tests/test_optimizer.py

AFDWang/Hetu

c2c85a8db885dabec41aeafe3895e5f818795e57

[ "Apache-2.0" ]

82

2021-07-20T02:45:54.000Z

2022-03-14T07:08:45.000Z

tests/test_optimizer.py

AFDWang/Hetu

c2c85a8db885dabec41aeafe3895e5f818795e57

[ "Apache-2.0" ]

4

2021-11-25T13:39:21.000Z

2022-03-13T04:14:14.000Z

tests/test_optimizer.py

AFDWang/Hetu

c2c85a8db885dabec41aeafe3895e5f818795e57

[ "Apache-2.0" ]

13

2021-07-18T14:40:56.000Z

2022-03-09T06:37:42.000Z

import numpy as np import hetu as ht from hetu import gpu_links as gpu_op def test_adamw(): ctx = ht.gpu(0) shape = (500,400) param = np.random.uniform(-10, 10, size=shape).astype(np.float32) grad = np.random.uniform(-10, 10, size=shape).astype(np.float32) m = np.random.uniform(-10, 10, size=shape).astype(np.float32) v = np.random.uniform(0, 10, size=shape).astype(np.float32) lr = 1e-2 beta1 = 0.9 beta2 = 0.99 beta1t = beta1**10 beta2t = beta2**10 eps = 1e-7 weight_decay = 0.1 print("Prev param:") print(param) print("Prev m:") print(m) print("Prev v:") print(v) arr_param = ht.array(param, ctx) arr_grad = ht.array(grad, ctx) arr_m = ht.array(m, ctx) arr_v = ht.array(v, ctx) gpu_op.adamw_update(arr_param, arr_grad, arr_m, arr_v, lr, beta1, beta2, beta1t, beta2t, eps, weight_decay) re_param = arr_param.asnumpy() re_m = arr_m.asnumpy() re_v = arr_v.asnumpy() m = beta1 * m + (1 - beta1) * grad v = beta2 * v + (1 - beta2) * grad * grad mc = m / (1 - beta1t) vc = v / (1 - beta2t) update = mc / (np.sqrt(vc) + eps) param = param - lr * (update + weight_decay * param) print("Cur param:") print(re_param) print(param) print("Cur m:") print(re_m) print(m) print("Cur v:") print(re_v) print(v) np.testing.assert_allclose(re_param, param, atol=1e-5) np.testing.assert_allclose(re_m, m, atol=1e-5) np.testing.assert_allclose(re_v, v, atol=1e-5) def test_lamb(): ctx = ht.gpu(0) shape = (4,5) param = np.random.uniform(-10, 10, size=shape).astype(np.float32) grad = np.random.uniform(-10, 10, size=shape).astype(np.float32) m = np.random.uniform(-10, 10, size=shape).astype(np.float32) v = np.random.uniform(0, 10, size=shape).astype(np.float32) lr = 1e-2 beta1 = 0.9 beta2 = 0.99 beta1t = beta1**10 beta2t = beta2**10 eps = 1e-7 weight_decay = 0.1 print("Prev param:") print(param) print("Prev m:") print(m) print("Prev v:") print(v) arr_param = ht.array(param, ctx) arr_grad = ht.array(grad, ctx) arr_m = ht.array(m, ctx) arr_v = ht.array(v, ctx) gpu_op.lamb_update(arr_param, arr_grad, arr_m, arr_v, lr, beta1, beta2, beta1t, beta2t, eps, weight_decay) re_param = arr_param.asnumpy() re_m = arr_m.asnumpy() re_v = arr_v.asnumpy() m = beta1 * m + (1 - beta1) * grad v = beta2 * v + (1 - beta2) * grad * grad mc = m / (1 - beta1t) vc = v / (1 - beta2t) update = mc / (np.sqrt(vc) + eps) norm2_param = np.sqrt(np.sum(np.power(param, 2))) norm2_update = np.sqrt(np.sum(np.power(update, 2))) param = param - lr * norm2_param / norm2_update * (update + weight_decay * param) print("Cur param:") print(re_param) print(param) print("Cur m:") print(re_m) print(m) print("Cur v:") print(re_v) print(v) np.testing.assert_allclose(re_param, param, atol=1e-5) np.testing.assert_allclose(re_m, m, atol=1e-5) np.testing.assert_allclose(re_v, v, atol=1e-5) def test_adamw_sparse(): ctx = ht.gpu(0) shape = (500, 400) l = np.random.randint(0,500,size=(100)) indices = np.array(l) param = np.random.uniform(-10, 10, size=shape).astype(np.float32) grad = np.random.uniform(-10, 10, size=(indices.shape[0], shape[1])).astype(np.float32) m = np.random.uniform(-10, 10, size=shape).astype(np.float32) v = np.random.uniform(0, 10, size=shape).astype(np.float32) lr = 1e-2 beta1 = 0.9 beta2 = 0.99 beta1t = beta1**10 beta2t = beta2**10 eps = 1e-7 weight_decay = 0.1 print("Prev param:") print(param) print("Prev m:") print(m) print("Prev v:") print(v) print("Indices:") print(indices) print("Grad:") print(grad) arr_param = ht.array(param, ctx) arr_indices = ht.array(indices, ctx) arr_value = ht.array(grad, ctx) arr_grad = ht.IndexedSlices(indices = arr_indices, values = arr_value, dense_shape = shape) arr_m = ht.array(m, ctx) arr_v = ht.array(v, ctx) gpu_op.adamw_update(arr_param, arr_grad, arr_m, arr_v, lr, beta1, beta2, beta1t, beta2t, eps, weight_decay) re_param = arr_param.asnumpy() re_m = arr_m.asnumpy() re_v = arr_v.asnumpy() # numpy deduplicate d = dict() for i in l: d[i]=[] for i, g in zip(l, grad): d[i].append(g) for key in d.keys(): g0 = d[key][0] for i in range(1, len(d[key])): g0 += d[key][i] d[key] = g0 grad_new = [] l_new = [] for key in d.keys(): l_new.append(key) grad_new.append(d[key]) grad_new = np.array(grad_new) for idx, g in zip(l_new, grad_new): m[idx] = beta1 * m[idx] + (1 - beta1) * g v[idx] = beta2 * v[idx] + (1 - beta2) * g * g mc_idx = m[idx] / (1 - beta1t) vc_idx = v[idx] / (1 - beta2t) update = mc_idx / (np.sqrt(vc_idx) + eps) param[idx] = param[idx] - lr * (update + weight_decay * param[idx]) print("Cur param:") print(re_param) print(param) print("Cur m:") print(re_m) print(m) print("Cur v:") print(re_v) print(v) np.testing.assert_allclose(re_param, param, atol=1e-5) np.testing.assert_allclose(re_m, m, atol=1e-5) np.testing.assert_allclose(re_v, v, atol=1e-5) def test_lamb_sparse(): ctx = ht.gpu(0) shape = (500, 400) l = np.random.randint(0,500,size=(100)) # shape = (5,4) # l = [0,2,3] indices = np.array(l) param = np.random.uniform(-10, 10, size=shape).astype(np.float32) grad = np.random.uniform(-10, 10, size=(indices.shape[0], shape[1])).astype(np.float32) m = np.random.uniform(-10, 10, size=shape).astype(np.float32) v = np.random.uniform(0, 10, size=shape).astype(np.float32) lr = 1e-2 beta1 = 0.9 beta2 = 0.99 beta1t = beta1**10 beta2t = beta2**10 eps = 1e-7 weight_decay = 0.1 print("Prev param:") print(param) print("Prev m:") print(m) print("Prev v:") print(v) print("Indices:") print(indices) print("Grad:") print(grad) arr_param = ht.array(param, ctx) arr_indices = ht.array(indices, ctx) arr_value = ht.array(grad, ctx) arr_grad = ht.IndexedSlices(indices = arr_indices, values = arr_value, dense_shape = shape) arr_m = ht.array(m, ctx) arr_v = ht.array(v, ctx) gpu_op.lamb_update(arr_param, arr_grad, arr_m, arr_v, lr, beta1, beta2, beta1t, beta2t, eps, weight_decay) re_param = arr_param.asnumpy() re_m = arr_m.asnumpy() re_v = arr_v.asnumpy() # numpy deduplicate d = dict() for i in l: d[i]=[] for i, g in zip(l, grad): d[i].append(g) for key in d.keys(): g0 = d[key][0] for i in range(1, len(d[key])): g0 += d[key][i] d[key] = g0 grad_new = [] l_new = [] for key in d.keys(): l_new.append(key) grad_new.append(d[key]) grad_new = np.array(grad_new) updates = [] for idx, g in zip(l_new, grad_new): m[idx] = beta1 * m[idx] + (1 - beta1) * g v[idx] = beta2 * v[idx] + (1 - beta2) * g * g mc_idx = m[idx] / (1 - beta1t) vc_idx = v[idx] / (1 - beta2t) update = mc_idx / (np.sqrt(vc_idx) + eps) updates.append(update) updates = np.array(updates) param_indexed = [] for idx in l_new: param_indexed.append(param[idx]) param_indexed = np.array(param_indexed) norm2_param = np.sqrt(np.sum(np.power(param_indexed, 2))) # only use indexed params to calculate norm2 norm2_update = np.sqrt(np.sum(np.power(updates, 2))) #print(norm2_param, norm2_update) for idx, u in zip(l_new, updates): param[idx] = param[idx] - lr * norm2_param / norm2_update * (u + weight_decay * param[idx]) print("Cur param:") print(re_param) print(param) print("Cur m:") print(re_m) print(m) print("Cur v:") print(re_v) print(v) np.testing.assert_allclose(re_param, param, atol=1e-5) np.testing.assert_allclose(re_m, m, atol=1e-5) np.testing.assert_allclose(re_v, v, atol=1e-5) test_adamw() test_lamb() test_adamw_sparse() test_lamb_sparse()

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706e2fe849958455888e9078a2a0eb54ff6cb2f8

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third_party_package/RDKit_2015_03_1/rdkit/_py2_pickle.py

Ivy286/cluster_basedfps

7fc216537f570436f008ea567c137d03ba2b6d81

[ "WTFPL" ]

9

2019-04-23T01:46:12.000Z

2021-08-16T07:07:12.000Z

third_party_package/RDKit_2015_03_1/rdkit/_py2_pickle.py

Ivy286/cluster_basedfps

7fc216537f570436f008ea567c137d03ba2b6d81

[ "WTFPL" ]

null

third_party_package/RDKit_2015_03_1/rdkit/_py2_pickle.py

Ivy286/cluster_basedfps

7fc216537f570436f008ea567c137d03ba2b6d81

[ "WTFPL" ]

5

2016-09-21T03:47:48.000Z

2019-07-30T22:17:35.000Z

from cPickle import load as _load from cPickle import loads as _loads from cPickle import * def load(f, **kwargs): return _load(f) def loads(s, **kwargs): return _loads(s)

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py

Python

test_demo.py

justinharringa/jenkins-config-driven-demo-another-repo

55280fee3fd729e665eda8135c2a5be5d2869166

[ "MIT" ]

null

test_demo.py

justinharringa/jenkins-config-driven-demo-another-repo

55280fee3fd729e665eda8135c2a5be5d2869166

[ "MIT" ]

null

test_demo.py

justinharringa/jenkins-config-driven-demo-another-repo

55280fee3fd729e665eda8135c2a5be5d2869166

[ "MIT" ]

null

from demo import do_something def test_do_something(): assert do_something("anything") == "Do anything"

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Python

das_decennial/programs/writer/cef_2020/mdf_validator_classes.py

p-b-j/uscb-das-container-public

7f7ba44055da15d13b191180249e656e1bd398c6

[ "MIT" ]

1

2021-11-13T01:35:31.000Z

das_decennial/programs/writer/cef_2020/mdf_validator_classes.py

p-b-j/uscb-das-container-public

7f7ba44055da15d13b191180249e656e1bd398c6

[ "MIT" ]

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2021-10-30T00:48:45.000Z

2021-11-01T23:33:46.000Z

das_decennial/programs/writer/cef_2020/mdf_validator_classes.py

p-b-j/uscb-das-container-public

7f7ba44055da15d13b191180249e656e1bd398c6

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # This file was automatically generated by ../etl_2020/census_etl/spec_scanner.py on Fri Oct 30 14:46:58 2020 # Command line: ../etl_2020/census_etl/spec_scanner.py ../etl_2020/mdf/2020 Microdata Detail File Specification v8_05292020.docx --output_parser ../das_decennial/programs/writer/cef_2020/mdf_validator_classes.py --tablenames MDF_Person MDF_Unit # Automatically generated on Fri Oct 30 14:46:58 2020 by /mnt/users/will0555/new-das-vm/das-vm-config/das_decennial/das_framework/ctools/schema/table.py def leftpad(x,width): return ' '*(width-len(str(x)))+str(x) def between(a,b,c,width): if len(b) > width: return False if '.' in a or '.' in b or '.' in c: try: return float(a) <= float(b) <= float(c) except ValueError: pass # tries to return a float but might have weird input like 1.1.0 which will be compared traditionally instead b = b.replace(' ', '0') return leftpad(a,width) <= leftpad(b,width) <= leftpad(c,width) def safe_int(i): try: return int(i) except (TypeError, ValueError) as e: return None def safe_float(i): try: return float(i) except (TypeError, ValueError) as e: return None def safe_str(i): try: return str(i) except (TypeError, ValueError) as e: return None class MDF_Person_validator: @classmethod def is_valid_SCHEMA_TYPE_CODE(self,x): """Schema Type Code""" if x is None or x == "None": return False return (leftpad(x,3)==leftpad('MPD',3)) @classmethod def is_valid_SCHEMA_BUILD_ID(self,x): """Schema Build ID""" if x is None or x == "None": return False return True @classmethod def is_valid_TABBLKST(self,x): """2020 Tabulation State (FIPS)""" if x is None or x == "None": return False return (between('44',x,'51',2)) or (leftpad(x,2)==leftpad('72',2)) or (between('08',x,'13',2)) or (between('53',x,'56',2)) or (between('01',x,'02',2)) or (between('04',x,'06',2)) or (between('15',x,'42',2)) @classmethod def is_valid_TABBLKCOU(self,x): """2020 Tabulation County (FIPS)""" if x is None or x == "None": return False return (between('001',x,'840',3)) @classmethod def is_valid_TABTRACTCE(self,x): """2020 Tabulation Census Tract""" if x is None or x == "None": return False return (between('000100',x,'998999',6)) @classmethod def is_valid_TABBLKGRPCE(self,x): """2020 Census Block Group""" if x is None or x == "None": return False return (between('0',x,'9',1)) @classmethod def is_valid_TABBLK(self,x): """2020 Block Number""" if x is None or x == "None": return False return (between('0001',x,'9999',4)) @classmethod def is_valid_EPNUM(self,x): """Privacy Edited Person Number""" if x is None or x == "None": return False x = str(x).strip() try: x = int(x) except ValueError: return False return (0 <= x <= 999999999) @classmethod def is_valid_RTYPE(self,x): """Record Type""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('5',1)) or (leftpad(x,1)==leftpad('3',1)) @classmethod def is_valid_GQTYPE(self,x): """Group Quarters Type""" if x is None or x == "None": return False return (leftpad(x,3)==leftpad('106',3)) or (leftpad(x,3)==leftpad('103',3)) or (leftpad(x,3)==leftpad('102',3)) or (leftpad(x,3)==leftpad('104',3)) or (leftpad(x,3)==leftpad('602',3)) or (leftpad(x,3)==leftpad('105',3)) or (leftpad(x,3)==leftpad('301',3)) or (leftpad(x,3)==leftpad('401',3)) or (leftpad(x,3)==leftpad('402',3)) or (leftpad(x,3)==leftpad('403',3)) or (leftpad(x,3)==leftpad('203',3)) or (leftpad(x,3)==leftpad('997',3)) or (leftpad(x,3)==leftpad('501',3)) or (leftpad(x,3)==leftpad('601',3)) or (leftpad(x,3)==leftpad('706',3)) or (leftpad(x,3)==leftpad('801',3)) or (leftpad(x,3)==leftpad('201',3)) or (leftpad(x,3)==leftpad('704',3)) or (leftpad(x,3)==leftpad('701',3)) or (leftpad(x,3)==leftpad('904',3)) or (leftpad(x,3)==leftpad('405',3)) or (leftpad(x,3)==leftpad('802',3)) or (leftpad(x,3)==leftpad('202',3)) or (leftpad(x,3)==leftpad('903',3)) or (leftpad(x,3)==leftpad('900',3)) or (leftpad(x,3)==leftpad('901',3)) or (leftpad(x,3)==leftpad('101',3)) or (leftpad(x,3)==leftpad('000',3)) or (leftpad(x,3)==leftpad('404',3)) @classmethod def is_valid_RELSHIP(self,x): """Edited Relationship""" if x is None or x == "None": return False return (leftpad(x,2)==leftpad('25',2)) or (leftpad(x,2)==leftpad('32',2)) or (leftpad(x,2)==leftpad('23',2)) or (leftpad(x,2)==leftpad('20',2)) or (leftpad(x,2)==leftpad('26',2)) or (leftpad(x,2)==leftpad('30',2)) or (leftpad(x,2)==leftpad('34',2)) or (leftpad(x,2)==leftpad('37',2)) or (leftpad(x,2)==leftpad('33',2)) or (leftpad(x,2)==leftpad('36',2)) or (leftpad(x,2)==leftpad('24',2)) or (leftpad(x,2)==leftpad('38',2)) or (leftpad(x,2)==leftpad('21',2)) or (leftpad(x,2)==leftpad('35',2)) or (leftpad(x,2)==leftpad('31',2)) or (leftpad(x,2)==leftpad('22',2)) or (leftpad(x,2)==leftpad('29',2)) or (leftpad(x,2)==leftpad('28',2)) or (leftpad(x,2)==leftpad('27',2)) @classmethod def is_valid_QSEX(self,x): """Edited Sex""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('1',1)) @classmethod def is_valid_QAGE(self,x): """Edited Age""" if x is None or x == "None": return False x = str(x).strip() try: x = int(x) except ValueError: return False return (0 <= x <= 115) @classmethod def is_valid_CENHISP(self,x): """Hispanic Origin""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('1',1)) @classmethod def is_valid_CENRACE(self,x): """Census Race""" if x is None or x == "None": return False return (leftpad(x,2)==leftpad('14',2)) or (leftpad(x,2)==leftpad('16',2)) or (leftpad(x,2)==leftpad('09',2)) or (leftpad(x,2)==leftpad('11',2)) or (leftpad(x,2)==leftpad('01',2)) or (leftpad(x,2)==leftpad('12',2)) or (leftpad(x,2)==leftpad('20',2)) or (leftpad(x,2)==leftpad('17',2)) or (leftpad(x,2)==leftpad('06',2)) or (leftpad(x,2)==leftpad('15',2)) or (leftpad(x,2)==leftpad('26',2)) or (leftpad(x,2)==leftpad('30',2)) or (leftpad(x,2)==leftpad('36',2)) or (leftpad(x,2)==leftpad('45',2)) or (leftpad(x,2)==leftpad('46',2)) or (leftpad(x,2)==leftpad('55',2)) or (leftpad(x,2)==leftpad('61',2)) or (leftpad(x,2)==leftpad('18',2)) or (leftpad(x,2)==leftpad('27',2)) or (leftpad(x,2)==leftpad('03',2)) or (leftpad(x,2)==leftpad('10',2)) or (leftpad(x,2)==leftpad('13',2)) or (leftpad(x,2)==leftpad('23',2)) or (leftpad(x,2)==leftpad('54',2)) or (leftpad(x,2)==leftpad('07',2)) or (leftpad(x,2)==leftpad('33',2)) or (leftpad(x,2)==leftpad('53',2)) or (leftpad(x,2)==leftpad('22',2)) or (leftpad(x,2)==leftpad('31',2)) or (leftpad(x,2)==leftpad('41',2)) or (leftpad(x,2)==leftpad('48',2)) or (leftpad(x,2)==leftpad('50',2)) or (leftpad(x,2)==leftpad('25',2)) or (leftpad(x,2)==leftpad('28',2)) or (leftpad(x,2)==leftpad('29',2)) or (leftpad(x,2)==leftpad('32',2)) or (leftpad(x,2)==leftpad('34',2)) or (leftpad(x,2)==leftpad('52',2)) or (leftpad(x,2)==leftpad('59',2)) or (leftpad(x,2)==leftpad('02',2)) or (leftpad(x,2)==leftpad('47',2)) or (leftpad(x,2)==leftpad('37',2)) or (leftpad(x,2)==leftpad('19',2)) or (leftpad(x,2)==leftpad('40',2)) or (leftpad(x,2)==leftpad('08',2)) or (leftpad(x,2)==leftpad('21',2)) or (leftpad(x,2)==leftpad('56',2)) or (leftpad(x,2)==leftpad('39',2)) or (leftpad(x,2)==leftpad('38',2)) or (leftpad(x,2)==leftpad('44',2)) or (leftpad(x,2)==leftpad('42',2)) or (leftpad(x,2)==leftpad('49',2)) or (leftpad(x,2)==leftpad('57',2)) or (leftpad(x,2)==leftpad('63',2)) or (leftpad(x,2)==leftpad('51',2)) or (leftpad(x,2)==leftpad('04',2)) or (leftpad(x,2)==leftpad('24',2)) or (leftpad(x,2)==leftpad('58',2)) or (leftpad(x,2)==leftpad('60',2)) or (leftpad(x,2)==leftpad('62',2)) or (leftpad(x,2)==leftpad('35',2)) or (leftpad(x,2)==leftpad('05',2)) or (leftpad(x,2)==leftpad('43',2)) @classmethod def is_valid_LIVE_ALONE(self,x): """Person Living Alone""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('1',1)) @classmethod def validate_pipe_delimited(self,x): fields = x.split('|') if len(fields)!=16: return False if self.is_valid_SCHEMA_TYPE_CODE(fields[1]) == False: return False if self.is_valid_SCHEMA_BUILD_ID(fields[2]) == False: return False if self.is_valid_TABBLKST(fields[3]) == False: return False if self.is_valid_TABBLKCOU(fields[4]) == False: return False if self.is_valid_TABTRACTCE(fields[5]) == False: return False if self.is_valid_TABBLKGRPCE(fields[6]) == False: return False if self.is_valid_TABBLK(fields[7]) == False: return False if self.is_valid_EPNUM(fields[8]) == False: return False if self.is_valid_RTYPE(fields[9]) == False: return False if self.is_valid_GQTYPE(fields[10]) == False: return False if self.is_valid_RELSHIP(fields[11]) == False: return False if self.is_valid_QSEX(fields[12]) == False: return False if self.is_valid_QAGE(fields[13]) == False: return False if self.is_valid_CENHISP(fields[14]) == False: return False if self.is_valid_CENRACE(fields[15]) == False: return False if self.is_valid_LIVE_ALONE(fields[16]) == False: return False return True class MDF_Person: __slots__ = ['SCHEMA_TYPE_CODE', 'SCHEMA_BUILD_ID', 'TABBLKST', 'TABBLKCOU', 'TABTRACTCE', 'TABBLKGRPCE', 'TABBLK', 'EPNUM', 'RTYPE', 'GQTYPE', 'RELSHIP', 'QSEX', 'QAGE', 'CENHISP', 'CENRACE', 'LIVE_ALONE'] def __repr__(self): return 'MDF_Person<SCHEMA_TYPE_CODE:{},SCHEMA_BUILD_ID:{},TABBLKST:{},TABBLKCOU:{},TABTRACTCE:{},TABBLKGRPCE:{},TABBLK:{},EPNUM:{},RTYPE:{},GQTYPE:{},RELSHIP:{},QSEX:{},QAGE:{},CENHISP:{},CENRACE:{},LIVE_ALONE:{}>'.format(self.SCHEMA_TYPE_CODE,self.SCHEMA_BUILD_ID,self.TABBLKST,self.TABBLKCOU,self.TABTRACTCE,self.TABBLKGRPCE,self.TABBLK,self.EPNUM,self.RTYPE,self.GQTYPE,self.RELSHIP,self.QSEX,self.QAGE,self.CENHISP,self.CENRACE,self.LIVE_ALONE) def __init__(self,line=None): if line: if '|' in line: self.parse_pipe_delimited(line) else: self.parse_column_specified(line) @classmethod def name(self): return 'MDF_Person' def parse_pipe_delimited(self,line): fields = line.split('|') if len(fields)!=16: raise ValueError(f'expected 16 fields, found {len(fields)}') self.SCHEMA_TYPE_CODE = fields[0] # Schema Type Code self.SCHEMA_BUILD_ID = fields[1] # Schema Build ID self.TABBLKST = fields[2] # 2020 Tabulation State (FIPS) self.TABBLKCOU = fields[3] # 2020 Tabulation County (FIPS) self.TABTRACTCE = fields[4] # 2020 Tabulation Census Tract self.TABBLKGRPCE = fields[5] # 2020 Census Block Group self.TABBLK = fields[6] # 2020 Block Number self.EPNUM = fields[7] # Privacy Edited Person Number self.RTYPE = fields[8] # Record Type self.GQTYPE = fields[9] # Group Quarters Type self.RELSHIP = fields[10] # Edited Relationship self.QSEX = fields[11] # Edited Sex self.QAGE = fields[12] # Edited Age self.CENHISP = fields[13] # Hispanic Origin self.CENRACE = fields[14] # Census Race self.LIVE_ALONE = fields[15] # Person Living Alone def parse_column_specified(self,line): self.SCHEMA_TYPE_CODE = None # no column information for SCHEMA_TYPE_CODE self.SCHEMA_BUILD_ID = None # no column information for SCHEMA_BUILD_ID self.TABBLKST = None # no column information for TABBLKST self.TABBLKCOU = None # no column information for TABBLKCOU self.TABTRACTCE = None # no column information for TABTRACTCE self.TABBLKGRPCE = None # no column information for TABBLKGRPCE self.TABBLK = None # no column information for TABBLK self.EPNUM = None # no column information for EPNUM self.RTYPE = None # no column information for RTYPE self.GQTYPE = None # no column information for GQTYPE self.RELSHIP = None # no column information for RELSHIP self.QSEX = None # no column information for QSEX self.QAGE = None # no column information for QAGE self.CENHISP = None # no column information for CENHISP self.CENRACE = None # no column information for CENRACE self.LIVE_ALONE = None # no column information for LIVE_ALONE def validate(self): """Return True if the object data validates""" if not MDF_Person_validator.is_valid_SCHEMA_TYPE_CODE(self.SCHEMA_TYPE_CODE): return False if not MDF_Person_validator.is_valid_SCHEMA_BUILD_ID(self.SCHEMA_BUILD_ID): return False if not MDF_Person_validator.is_valid_TABBLKST(self.TABBLKST): return False if not MDF_Person_validator.is_valid_TABBLKCOU(self.TABBLKCOU): return False if not MDF_Person_validator.is_valid_TABTRACTCE(self.TABTRACTCE): return False if not MDF_Person_validator.is_valid_TABBLKGRPCE(self.TABBLKGRPCE): return False if not MDF_Person_validator.is_valid_TABBLK(self.TABBLK): return False if not MDF_Person_validator.is_valid_EPNUM(self.EPNUM): return False if not MDF_Person_validator.is_valid_RTYPE(self.RTYPE): return False if not MDF_Person_validator.is_valid_GQTYPE(self.GQTYPE): return False if not MDF_Person_validator.is_valid_RELSHIP(self.RELSHIP): return False if not MDF_Person_validator.is_valid_QSEX(self.QSEX): return False if not MDF_Person_validator.is_valid_QAGE(self.QAGE): return False if not MDF_Person_validator.is_valid_CENHISP(self.CENHISP): return False if not MDF_Person_validator.is_valid_CENRACE(self.CENRACE): return False if not MDF_Person_validator.is_valid_LIVE_ALONE(self.LIVE_ALONE): return False return True def validate_reason(self): reason=[] if not MDF_Person_validator.is_valid_SCHEMA_TYPE_CODE(self.SCHEMA_TYPE_CODE): reason.append('SCHEMA_TYPE_CODE ('+str(self.SCHEMA_TYPE_CODE)+') out of range (MPD-MPD)') if not MDF_Person_validator.is_valid_SCHEMA_BUILD_ID(self.SCHEMA_BUILD_ID): reason.append('SCHEMA_BUILD_ID ('+str(self.SCHEMA_BUILD_ID)+') out of range ()') if not MDF_Person_validator.is_valid_TABBLKST(self.TABBLKST): reason.append('TABBLKST ('+str(self.TABBLKST)+') out of range (44-51, 72-72, 08-13, 53-56, 01-02, 04-06, 15-42)') if not MDF_Person_validator.is_valid_TABBLKCOU(self.TABBLKCOU): reason.append('TABBLKCOU ('+str(self.TABBLKCOU)+') out of range (001-840)') if not MDF_Person_validator.is_valid_TABTRACTCE(self.TABTRACTCE): reason.append('TABTRACTCE ('+str(self.TABTRACTCE)+') out of range (000100-998999)') if not MDF_Person_validator.is_valid_TABBLKGRPCE(self.TABBLKGRPCE): reason.append('TABBLKGRPCE ('+str(self.TABBLKGRPCE)+') out of range (0-9)') if not MDF_Person_validator.is_valid_TABBLK(self.TABBLK): reason.append('TABBLK ('+str(self.TABBLK)+') out of range (0001-9999)') if not MDF_Person_validator.is_valid_EPNUM(self.EPNUM): reason.append('EPNUM ('+str(self.EPNUM)+') out of range (0-999999999)') if not MDF_Person_validator.is_valid_RTYPE(self.RTYPE): reason.append('RTYPE ('+str(self.RTYPE)+') out of range (5-5, 3-3)') if not MDF_Person_validator.is_valid_GQTYPE(self.GQTYPE): reason.append('GQTYPE ('+str(self.GQTYPE)+') out of range (106-106, 103-103, 102-102, 104-104, 602-602, 105-105, 301-301, 401-401, 402-402, 403-403, 203-203, 997-997, 501-501, 601-601, 706-706, 801-801, 201-201, 704-704, 701-701, 904-904, 405-405, 802-802, 202-202, 903-903, 900-900, 901-901, 101-101, 000-000, 404-404)') if not MDF_Person_validator.is_valid_RELSHIP(self.RELSHIP): reason.append('RELSHIP ('+str(self.RELSHIP)+') out of range (25-25, 32-32, 23-23, 20-20, 26-26, 30-30, 34-34, 37-37, 33-33, 36-36, 24-24, 38-38, 21-21, 35-35, 31-31, 22-22, 29-29, 28-28, 27-27)') if not MDF_Person_validator.is_valid_QSEX(self.QSEX): reason.append('QSEX ('+str(self.QSEX)+') out of range (2-2, 1-1)') if not MDF_Person_validator.is_valid_QAGE(self.QAGE): reason.append('QAGE ('+str(self.QAGE)+') out of range (0-115)') if not MDF_Person_validator.is_valid_CENHISP(self.CENHISP): reason.append('CENHISP ('+str(self.CENHISP)+') out of range (2-2, 1-1)') if not MDF_Person_validator.is_valid_CENRACE(self.CENRACE): reason.append('CENRACE ('+str(self.CENRACE)+') out of range (14-14, 16-16, 09-09, 11-11, 01-01, 12-12, 20-20, 17-17, 06-06, 15-15, 26-26, 30-30, 36-36, 45-45, 46-46, 55-55, 61-61, 18-18, 27-27, 03-03, 10-10, 13-13, 23-23, 54-54, 07-07, 33-33, 53-53, 22-22, 31-31, 41-41, 48-48, 50-50, 25-25, 28-28, 29-29, 32-32, 34-34, 52-52, 59-59, 02-02, 47-47, 37-37, 19-19, 40-40, 08-08, 21-21, 56-56, 39-39, 38-38, 44-44, 42-42, 49-49, 57-57, 63-63, 51-51, 04-04, 24-24, 58-58, 60-60, 62-62, 35-35, 05-05, 43-43)') if not MDF_Person_validator.is_valid_LIVE_ALONE(self.LIVE_ALONE): reason.append('LIVE_ALONE ('+str(self.LIVE_ALONE)+') out of range (2-2, 0-0, 1-1)') return ', '.join(reason) def SparkSQLRow(self): """Return a SparkSQL Row object for this object.""" from pyspark.sql import Row return Row( schema_type_code=safe_str(self.SCHEMA_TYPE_CODE), schema_build_id=safe_str(self.SCHEMA_BUILD_ID), tabblkst=safe_str(self.TABBLKST), tabblkcou=safe_str(self.TABBLKCOU), tabtractce=safe_str(self.TABTRACTCE), tabblkgrpce=safe_str(self.TABBLKGRPCE), tabblk=safe_str(self.TABBLK), epnum=safe_int(self.EPNUM), rtype=safe_str(self.RTYPE), gqtype=safe_str(self.GQTYPE), relship=safe_str(self.RELSHIP), qsex=safe_str(self.QSEX), qage=safe_int(self.QAGE), cenhisp=safe_str(self.CENHISP), cenrace=safe_str(self.CENRACE), live_alone=safe_str(self.LIVE_ALONE), ) @staticmethod def parse_line(line): # Read a line and return it as a dictionary. inst: MDF_Person = MDF_Person() inst.parse_column_specified(line) assert inst.validate(), f'A line is invalid!! line: {line}, validate_reason: {inst.validate_reason()}' row = inst.SparkSQLRow() return row @staticmethod def parse_piped_line(line): # Read a pipe-delimited line and return it as a dictionary. inst: MDF_Person = MDF_Person() inst.parse_pipe_delimited(line) assert inst.validate(), f'A line is invalid!! line: {line}, validate_reason: {inst.validate_reason()}' row = inst.SparkSQLRow() return row # Automatically generated on Fri Oct 30 14:46:58 2020 by /mnt/users/will0555/new-das-vm/das-vm-config/das_decennial/das_framework/ctools/schema/table.py def leftpad(x,width): return ' '*(width-len(str(x)))+str(x) def between(a,b,c,width): if len(b) > width: return False if '.' in a or '.' in b or '.' in c: try: return float(a) <= float(b) <= float(c) except ValueError: pass # tries to return a float but might have weird input like 1.1.0 which will be compared traditionally instead b = b.replace(' ', '0') return leftpad(a,width) <= leftpad(b,width) <= leftpad(c,width) def safe_int(i): try: return int(i) except (TypeError, ValueError) as e: return None def safe_float(i): try: return float(i) except (TypeError, ValueError) as e: return None def safe_str(i): try: return str(i) except (TypeError, ValueError) as e: return None class MDF_Unit_validator: @classmethod def is_valid_SCHEMA_TYPE_CODE(self,x): """Schema Type Code""" if x is None or x == "None": return False return (leftpad(x,3)==leftpad('MUD',3)) @classmethod def is_valid_SCHEMA_BUILD_ID(self,x): """Schema Build ID""" if x is None or x == "None": return False return True @classmethod def is_valid_TABBLKST(self,x): """2020 Tabulation State (FIPS)""" if x is None or x == "None": return False return (between('44',x,'51',2)) or (leftpad(x,2)==leftpad('72',2)) or (between('08',x,'13',2)) or (between('53',x,'56',2)) or (between('01',x,'02',2)) or (between('04',x,'06',2)) or (between('15',x,'42',2)) @classmethod def is_valid_TABBLKCOU(self,x): """2020 Tabulation County (FIPS)""" if x is None or x == "None": return False return (between('001',x,'840',3)) @classmethod def is_valid_TABTRACTCE(self,x): """2020 Tabulation Census Tract""" if x is None or x == "None": return False return (between('000100',x,'998999',6)) @classmethod def is_valid_TABBLKGRPCE(self,x): """2020 Census Block Group""" if x is None or x == "None": return False return (between('0',x,'9',1)) @classmethod def is_valid_TABBLK(self,x): """2020 Block Number""" if x is None or x == "None": return False return (between('0001',x,'9999',4)) @classmethod def is_valid_RTYPE(self,x): """Record Type""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('4',1)) @classmethod def is_valid_GQTYPE(self,x): """Group Quarters Type""" if x is None or x == "None": return False return (leftpad(x,3)==leftpad('106',3)) or (leftpad(x,3)==leftpad('103',3)) or (leftpad(x,3)==leftpad('102',3)) or (leftpad(x,3)==leftpad('104',3)) or (leftpad(x,3)==leftpad('602',3)) or (leftpad(x,3)==leftpad('105',3)) or (leftpad(x,3)==leftpad('301',3)) or (leftpad(x,3)==leftpad('401',3)) or (leftpad(x,3)==leftpad('402',3)) or (leftpad(x,3)==leftpad('403',3)) or (leftpad(x,3)==leftpad('203',3)) or (leftpad(x,3)==leftpad('997',3)) or (leftpad(x,3)==leftpad('501',3)) or (leftpad(x,3)==leftpad('601',3)) or (leftpad(x,3)==leftpad('706',3)) or (leftpad(x,3)==leftpad('801',3)) or (leftpad(x,3)==leftpad('201',3)) or (leftpad(x,3)==leftpad('704',3)) or (leftpad(x,3)==leftpad('701',3)) or (leftpad(x,3)==leftpad('904',3)) or (leftpad(x,3)==leftpad('405',3)) or (leftpad(x,3)==leftpad('802',3)) or (leftpad(x,3)==leftpad('202',3)) or (leftpad(x,3)==leftpad('903',3)) or (leftpad(x,3)==leftpad('900',3)) or (leftpad(x,3)==leftpad('901',3)) or (leftpad(x,3)==leftpad('101',3)) or (leftpad(x,3)==leftpad('000',3)) or (leftpad(x,3)==leftpad('404',3)) @classmethod def is_valid_TEN(self,x): """Tenure""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('1',1)) or (leftpad(x,1)==leftpad('3',1)) or (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('4',1)) @classmethod def is_valid_VACS(self,x): """Vacancy Status""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('7',1)) or (leftpad(x,1)==leftpad('1',1)) or (leftpad(x,1)==leftpad('5',1)) or (leftpad(x,1)==leftpad('3',1)) or (leftpad(x,1)==leftpad('6',1)) or (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('4',1)) @classmethod def is_valid_HHSIZE(self,x): """Population Count""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('7',1)) or (leftpad(x,1)==leftpad('1',1)) or (leftpad(x,1)==leftpad('5',1)) or (leftpad(x,1)==leftpad('3',1)) or (leftpad(x,1)==leftpad('6',1)) or (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('4',1)) @classmethod def is_valid_HHT(self,x): """Household/Family Type""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('7',1)) or (leftpad(x,1)==leftpad('1',1)) or (leftpad(x,1)==leftpad('5',1)) or (leftpad(x,1)==leftpad('3',1)) or (leftpad(x,1)==leftpad('6',1)) or (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('4',1)) @classmethod def is_valid_HHT2(self,x): """Household/Family Type (Includes Cohabiting)""" if x is None or x == "None": return False return (leftpad(x,2)==leftpad('02',2)) or (leftpad(x,2)==leftpad('03',2)) or (leftpad(x,2)==leftpad('09',2)) or (leftpad(x,2)==leftpad('01',2)) or (leftpad(x,2)==leftpad('00',2)) or (leftpad(x,2)==leftpad('10',2)) or (leftpad(x,2)==leftpad('11',2)) or (leftpad(x,2)==leftpad('06',2)) or (leftpad(x,2)==leftpad('07',2)) or (leftpad(x,2)==leftpad('04',2)) or (leftpad(x,2)==leftpad('12',2)) or (leftpad(x,2)==leftpad('08',2)) or (leftpad(x,2)==leftpad('05',2)) @classmethod def is_valid_CPLT(self,x): """Couple Type""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('1',1)) or (leftpad(x,1)==leftpad('5',1)) or (leftpad(x,1)==leftpad('3',1)) or (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('4',1)) @classmethod def is_valid_UPART(self,x): """Presence and Type of Unmarried Partner Household""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('1',1)) or (leftpad(x,1)==leftpad('5',1)) or (leftpad(x,1)==leftpad('3',1)) or (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('4',1)) @classmethod def is_valid_MULTG(self,x): """Multigenerational Household""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('1',1)) @classmethod def is_valid_THHLDRAGE(self,x): """Age of Householder""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('7',1)) or (leftpad(x,1)==leftpad('1',1)) or (leftpad(x,1)==leftpad('5',1)) or (leftpad(x,1)==leftpad('3',1)) or (leftpad(x,1)==leftpad('6',1)) or (leftpad(x,1)==leftpad('8',1)) or (leftpad(x,1)==leftpad('9',1)) or (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('4',1)) @classmethod def is_valid_THHSPAN(self,x): """Hispanic Householder""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('1',1)) @classmethod def is_valid_THHRACE(self,x): """Race of Householder""" if x is None or x == "None": return False return (leftpad(x,2)==leftpad('02',2)) or (leftpad(x,2)==leftpad('03',2)) or (leftpad(x,2)==leftpad('01',2)) or (leftpad(x,2)==leftpad('00',2)) or (leftpad(x,2)==leftpad('06',2)) or (leftpad(x,2)==leftpad('07',2)) or (leftpad(x,2)==leftpad('04',2)) or (leftpad(x,2)==leftpad('05',2)) @classmethod def is_valid_PAOC(self,x): """Presence and Age of Own Children Under 18""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('1',1)) or (leftpad(x,1)==leftpad('3',1)) or (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('4',1)) @classmethod def is_valid_TP18(self,x): """Presence of People Under 18 Years in Household""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('1',1)) @classmethod def is_valid_TP60(self,x): """Presence of People 60 Years and Over in Household""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('1',1)) @classmethod def is_valid_TP65(self,x): """Presence of People 65 Years and Over in Household""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('1',1)) @classmethod def is_valid_TP75(self,x): """Presence of People 75 Years and Over in Household""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('1',1)) @classmethod def is_valid_PAC(self,x): """Presence and Age of Children Under 18""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('1',1)) or (leftpad(x,1)==leftpad('3',1)) or (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('4',1)) @classmethod def is_valid_HHSEX(self,x): """Sex of Householder""" if x is None or x == "None": return False return (leftpad(x,1)==leftpad('2',1)) or (leftpad(x,1)==leftpad('0',1)) or (leftpad(x,1)==leftpad('1',1)) @classmethod def validate_pipe_delimited(self,x): fields = x.split('|') if len(fields)!=27: return False if self.is_valid_SCHEMA_TYPE_CODE(fields[1]) == False: return False if self.is_valid_SCHEMA_BUILD_ID(fields[2]) == False: return False if self.is_valid_TABBLKST(fields[3]) == False: return False if self.is_valid_TABBLKCOU(fields[4]) == False: return False if self.is_valid_TABTRACTCE(fields[5]) == False: return False if self.is_valid_TABBLKGRPCE(fields[6]) == False: return False if self.is_valid_TABBLK(fields[7]) == False: return False if self.is_valid_RTYPE(fields[8]) == False: return False if self.is_valid_GQTYPE(fields[9]) == False: return False if self.is_valid_TEN(fields[10]) == False: return False if self.is_valid_VACS(fields[11]) == False: return False if self.is_valid_HHSIZE(fields[12]) == False: return False if self.is_valid_HHT(fields[13]) == False: return False if self.is_valid_HHT2(fields[14]) == False: return False if self.is_valid_CPLT(fields[15]) == False: return False if self.is_valid_UPART(fields[16]) == False: return False if self.is_valid_MULTG(fields[17]) == False: return False if self.is_valid_THHLDRAGE(fields[18]) == False: return False if self.is_valid_THHSPAN(fields[19]) == False: return False if self.is_valid_THHRACE(fields[20]) == False: return False if self.is_valid_PAOC(fields[21]) == False: return False if self.is_valid_TP18(fields[22]) == False: return False if self.is_valid_TP60(fields[23]) == False: return False if self.is_valid_TP65(fields[24]) == False: return False if self.is_valid_TP75(fields[25]) == False: return False if self.is_valid_PAC(fields[26]) == False: return False if self.is_valid_HHSEX(fields[27]) == False: return False return True class MDF_Unit: __slots__ = ['SCHEMA_TYPE_CODE', 'SCHEMA_BUILD_ID', 'TABBLKST', 'TABBLKCOU', 'TABTRACTCE', 'TABBLKGRPCE', 'TABBLK', 'RTYPE', 'GQTYPE', 'TEN', 'VACS', 'HHSIZE', 'HHT', 'HHT2', 'CPLT', 'UPART', 'MULTG', 'THHLDRAGE', 'THHSPAN', 'THHRACE', 'PAOC', 'TP18', 'TP60', 'TP65', 'TP75', 'PAC', 'HHSEX'] def __repr__(self): return 'MDF_Unit<SCHEMA_TYPE_CODE:{},SCHEMA_BUILD_ID:{},TABBLKST:{},TABBLKCOU:{},TABTRACTCE:{},TABBLKGRPCE:{},TABBLK:{},RTYPE:{},GQTYPE:{},TEN:{},VACS:{},HHSIZE:{},HHT:{},HHT2:{},CPLT:{},UPART:{},MULTG:{},THHLDRAGE:{},THHSPAN:{},THHRACE:{},PAOC:{},TP18:{},TP60:{},TP65:{},TP75:{},PAC:{},HHSEX:{}>'.format(self.SCHEMA_TYPE_CODE,self.SCHEMA_BUILD_ID,self.TABBLKST,self.TABBLKCOU,self.TABTRACTCE,self.TABBLKGRPCE,self.TABBLK,self.RTYPE,self.GQTYPE,self.TEN,self.VACS,self.HHSIZE,self.HHT,self.HHT2,self.CPLT,self.UPART,self.MULTG,self.THHLDRAGE,self.THHSPAN,self.THHRACE,self.PAOC,self.TP18,self.TP60,self.TP65,self.TP75,self.PAC,self.HHSEX) def __init__(self,line=None): if line: if '|' in line: self.parse_pipe_delimited(line) else: self.parse_column_specified(line) @classmethod def name(self): return 'MDF_Unit' def parse_pipe_delimited(self,line): fields = line.split('|') if len(fields)!=27: raise ValueError(f'expected 27 fields, found {len(fields)}') self.SCHEMA_TYPE_CODE = fields[0] # Schema Type Code self.SCHEMA_BUILD_ID = fields[1] # Schema Build ID self.TABBLKST = fields[2] # 2020 Tabulation State (FIPS) self.TABBLKCOU = fields[3] # 2020 Tabulation County (FIPS) self.TABTRACTCE = fields[4] # 2020 Tabulation Census Tract self.TABBLKGRPCE = fields[5] # 2020 Census Block Group self.TABBLK = fields[6] # 2020 Block Number self.RTYPE = fields[7] # Record Type self.GQTYPE = fields[8] # Group Quarters Type self.TEN = fields[9] # Tenure self.VACS = fields[10] # Vacancy Status self.HHSIZE = fields[11] # Population Count self.HHT = fields[12] # Household/Family Type self.HHT2 = fields[13] # Household/Family Type (Includes Cohabiting) self.CPLT = fields[14] # Couple Type self.UPART = fields[15] # Presence and Type of Unmarried Partner Household self.MULTG = fields[16] # Multigenerational Household self.THHLDRAGE = fields[17] # Age of Householder self.THHSPAN = fields[18] # Hispanic Householder self.THHRACE = fields[19] # Race of Householder self.PAOC = fields[20] # Presence and Age of Own Children Under 18 self.TP18 = fields[21] # Presence of People Under 18 Years in Household self.TP60 = fields[22] # Presence of People 60 Years and Over in Household self.TP65 = fields[23] # Presence of People 65 Years and Over in Household self.TP75 = fields[24] # Presence of People 75 Years and Over in Household self.PAC = fields[25] # Presence and Age of Children Under 18 self.HHSEX = fields[26] # Sex of Householder def parse_column_specified(self,line): self.SCHEMA_TYPE_CODE = None # no column information for SCHEMA_TYPE_CODE self.SCHEMA_BUILD_ID = None # no column information for SCHEMA_BUILD_ID self.TABBLKST = None # no column information for TABBLKST self.TABBLKCOU = None # no column information for TABBLKCOU self.TABTRACTCE = None # no column information for TABTRACTCE self.TABBLKGRPCE = None # no column information for TABBLKGRPCE self.TABBLK = None # no column information for TABBLK self.RTYPE = None # no column information for RTYPE self.GQTYPE = None # no column information for GQTYPE self.TEN = None # no column information for TEN self.VACS = None # no column information for VACS self.HHSIZE = None # no column information for HHSIZE self.HHT = None # no column information for HHT self.HHT2 = None # no column information for HHT2 self.CPLT = None # no column information for CPLT self.UPART = None # no column information for UPART self.MULTG = None # no column information for MULTG self.THHLDRAGE = None # no column information for THHLDRAGE self.THHSPAN = None # no column information for THHSPAN self.THHRACE = None # no column information for THHRACE self.PAOC = None # no column information for PAOC self.TP18 = None # no column information for TP18 self.TP60 = None # no column information for TP60 self.TP65 = None # no column information for TP65 self.TP75 = None # no column information for TP75 self.PAC = None # no column information for PAC self.HHSEX = None # no column information for HHSEX def validate(self): """Return True if the object data validates""" if not MDF_Unit_validator.is_valid_SCHEMA_TYPE_CODE(self.SCHEMA_TYPE_CODE): return False if not MDF_Unit_validator.is_valid_SCHEMA_BUILD_ID(self.SCHEMA_BUILD_ID): return False if not MDF_Unit_validator.is_valid_TABBLKST(self.TABBLKST): return False if not MDF_Unit_validator.is_valid_TABBLKCOU(self.TABBLKCOU): return False if not MDF_Unit_validator.is_valid_TABTRACTCE(self.TABTRACTCE): return False if not MDF_Unit_validator.is_valid_TABBLKGRPCE(self.TABBLKGRPCE): return False if not MDF_Unit_validator.is_valid_TABBLK(self.TABBLK): return False if not MDF_Unit_validator.is_valid_RTYPE(self.RTYPE): return False if not MDF_Unit_validator.is_valid_GQTYPE(self.GQTYPE): return False if not MDF_Unit_validator.is_valid_TEN(self.TEN): return False if not MDF_Unit_validator.is_valid_VACS(self.VACS): return False if not MDF_Unit_validator.is_valid_HHSIZE(self.HHSIZE): return False if not MDF_Unit_validator.is_valid_HHT(self.HHT): return False if not MDF_Unit_validator.is_valid_HHT2(self.HHT2): return False if not MDF_Unit_validator.is_valid_CPLT(self.CPLT): return False if not MDF_Unit_validator.is_valid_UPART(self.UPART): return False if not MDF_Unit_validator.is_valid_MULTG(self.MULTG): return False if not MDF_Unit_validator.is_valid_THHLDRAGE(self.THHLDRAGE): return False if not MDF_Unit_validator.is_valid_THHSPAN(self.THHSPAN): return False if not MDF_Unit_validator.is_valid_THHRACE(self.THHRACE): return False if not MDF_Unit_validator.is_valid_PAOC(self.PAOC): return False if not MDF_Unit_validator.is_valid_TP18(self.TP18): return False if not MDF_Unit_validator.is_valid_TP60(self.TP60): return False if not MDF_Unit_validator.is_valid_TP65(self.TP65): return False if not MDF_Unit_validator.is_valid_TP75(self.TP75): return False if not MDF_Unit_validator.is_valid_PAC(self.PAC): return False if not MDF_Unit_validator.is_valid_HHSEX(self.HHSEX): return False return True def validate_reason(self): reason=[] if not MDF_Unit_validator.is_valid_SCHEMA_TYPE_CODE(self.SCHEMA_TYPE_CODE): reason.append('SCHEMA_TYPE_CODE ('+str(self.SCHEMA_TYPE_CODE)+') out of range (MUD-MUD)') if not MDF_Unit_validator.is_valid_SCHEMA_BUILD_ID(self.SCHEMA_BUILD_ID): reason.append('SCHEMA_BUILD_ID ('+str(self.SCHEMA_BUILD_ID)+') out of range ()') if not MDF_Unit_validator.is_valid_TABBLKST(self.TABBLKST): reason.append('TABBLKST ('+str(self.TABBLKST)+') out of range (44-51, 72-72, 08-13, 53-56, 01-02, 04-06, 15-42)') if not MDF_Unit_validator.is_valid_TABBLKCOU(self.TABBLKCOU): reason.append('TABBLKCOU ('+str(self.TABBLKCOU)+') out of range (001-840)') if not MDF_Unit_validator.is_valid_TABTRACTCE(self.TABTRACTCE): reason.append('TABTRACTCE ('+str(self.TABTRACTCE)+') out of range (000100-998999)') if not MDF_Unit_validator.is_valid_TABBLKGRPCE(self.TABBLKGRPCE): reason.append('TABBLKGRPCE ('+str(self.TABBLKGRPCE)+') out of range (0-9)') if not MDF_Unit_validator.is_valid_TABBLK(self.TABBLK): reason.append('TABBLK ('+str(self.TABBLK)+') out of range (0001-9999)') if not MDF_Unit_validator.is_valid_RTYPE(self.RTYPE): reason.append('RTYPE ('+str(self.RTYPE)+') out of range (2-2, 4-4)') if not MDF_Unit_validator.is_valid_GQTYPE(self.GQTYPE): reason.append('GQTYPE ('+str(self.GQTYPE)+') out of range (106-106, 103-103, 102-102, 104-104, 602-602, 105-105, 301-301, 401-401, 402-402, 403-403, 203-203, 997-997, 501-501, 601-601, 706-706, 801-801, 201-201, 704-704, 701-701, 904-904, 405-405, 802-802, 202-202, 903-903, 900-900, 901-901, 101-101, 000-000, 404-404)') if not MDF_Unit_validator.is_valid_TEN(self.TEN): reason.append('TEN ('+str(self.TEN)+') out of range (1-1, 3-3, 2-2, 0-0, 4-4)') if not MDF_Unit_validator.is_valid_VACS(self.VACS): reason.append('VACS ('+str(self.VACS)+') out of range (7-7, 1-1, 5-5, 3-3, 6-6, 2-2, 0-0, 4-4)') if not MDF_Unit_validator.is_valid_HHSIZE(self.HHSIZE): reason.append('HHSIZE ('+str(self.HHSIZE)+') out of range (7-7, 1-1, 5-5, 3-3, 6-6, 2-2, 0-0, 4-4)') if not MDF_Unit_validator.is_valid_HHT(self.HHT): reason.append('HHT ('+str(self.HHT)+') out of range (7-7, 1-1, 5-5, 3-3, 6-6, 2-2, 0-0, 4-4)') if not MDF_Unit_validator.is_valid_HHT2(self.HHT2): reason.append('HHT2 ('+str(self.HHT2)+') out of range (02-02, 03-03, 09-09, 01-01, 00-00, 10-10, 11-11, 06-06, 07-07, 04-04, 12-12, 08-08, 05-05)') if not MDF_Unit_validator.is_valid_CPLT(self.CPLT): reason.append('CPLT ('+str(self.CPLT)+') out of range (1-1, 5-5, 3-3, 2-2, 0-0, 4-4)') if not MDF_Unit_validator.is_valid_UPART(self.UPART): reason.append('UPART ('+str(self.UPART)+') out of range (1-1, 5-5, 3-3, 2-2, 0-0, 4-4)') if not MDF_Unit_validator.is_valid_MULTG(self.MULTG): reason.append('MULTG ('+str(self.MULTG)+') out of range (2-2, 0-0, 1-1)') if not MDF_Unit_validator.is_valid_THHLDRAGE(self.THHLDRAGE): reason.append('THHLDRAGE ('+str(self.THHLDRAGE)+') out of range (7-7, 1-1, 5-5, 3-3, 6-6, 8-8, 9-9, 2-2, 0-0, 4-4)') if not MDF_Unit_validator.is_valid_THHSPAN(self.THHSPAN): reason.append('THHSPAN ('+str(self.THHSPAN)+') out of range (2-2, 0-0, 1-1)') if not MDF_Unit_validator.is_valid_THHRACE(self.THHRACE): reason.append('THHRACE ('+str(self.THHRACE)+') out of range (02-02, 03-03, 01-01, 00-00, 06-06, 07-07, 04-04, 05-05)') if not MDF_Unit_validator.is_valid_PAOC(self.PAOC): reason.append('PAOC ('+str(self.PAOC)+') out of range (1-1, 3-3, 2-2, 0-0, 4-4)') if not MDF_Unit_validator.is_valid_TP18(self.TP18): reason.append('TP18 ('+str(self.TP18)+') out of range (0-0, 1-1)') if not MDF_Unit_validator.is_valid_TP60(self.TP60): reason.append('TP60 ('+str(self.TP60)+') out of range (0-0, 1-1)') if not MDF_Unit_validator.is_valid_TP65(self.TP65): reason.append('TP65 ('+str(self.TP65)+') out of range (0-0, 1-1)') if not MDF_Unit_validator.is_valid_TP75(self.TP75): reason.append('TP75 ('+str(self.TP75)+') out of range (0-0, 1-1)') if not MDF_Unit_validator.is_valid_PAC(self.PAC): reason.append('PAC ('+str(self.PAC)+') out of range (1-1, 3-3, 2-2, 0-0, 4-4)') if not MDF_Unit_validator.is_valid_HHSEX(self.HHSEX): reason.append('HHSEX ('+str(self.HHSEX)+') out of range (2-2, 0-0, 1-1)') return ', '.join(reason) def SparkSQLRow(self): """Return a SparkSQL Row object for this object.""" from pyspark.sql import Row return Row( schema_type_code=safe_str(self.SCHEMA_TYPE_CODE), schema_build_id=safe_str(self.SCHEMA_BUILD_ID), tabblkst=safe_str(self.TABBLKST), tabblkcou=safe_str(self.TABBLKCOU), tabtractce=safe_str(self.TABTRACTCE), tabblkgrpce=safe_str(self.TABBLKGRPCE), tabblk=safe_str(self.TABBLK), rtype=safe_str(self.RTYPE), gqtype=safe_str(self.GQTYPE), ten=safe_str(self.TEN), vacs=safe_str(self.VACS), hhsize=safe_str(self.HHSIZE), hht=safe_str(self.HHT), hht2=safe_str(self.HHT2), cplt=safe_str(self.CPLT), upart=safe_str(self.UPART), multg=safe_str(self.MULTG), thhldrage=safe_str(self.THHLDRAGE), thhspan=safe_str(self.THHSPAN), thhrace=safe_str(self.THHRACE), paoc=safe_str(self.PAOC), tp18=safe_str(self.TP18), tp60=safe_str(self.TP60), tp65=safe_str(self.TP65), tp75=safe_str(self.TP75), pac=safe_str(self.PAC), hhsex=safe_str(self.HHSEX), ) @staticmethod def parse_line(line): # Read a line and return it as a dictionary. inst: MDF_Unit = MDF_Unit() inst.parse_column_specified(line) assert inst.validate(), f'A line is invalid!! line: {line}, validate_reason: {inst.validate_reason()}' row = inst.SparkSQLRow() return row @staticmethod def parse_piped_line(line): # Read a pipe-delimited line and return it as a dictionary. inst: MDF_Unit = MDF_Unit() inst.parse_pipe_delimited(line) assert inst.validate(), f'A line is invalid!! line: {line}, validate_reason: {inst.validate_reason()}' row = inst.SparkSQLRow() return row SPEC_CLASS_OBJECTS = [MDF_Person(),MDF_Unit()] null = None SPEC_DICT = {"tables": {"MDF_Person": {"name": "MDF_Person", "variables": [{"name": "SCHEMA_TYPE_CODE", "vtype": "CHAR", "position": "1", "desc": "Schema Type Code", "column": null, "width": 3, "ranges": [{"a": "MPD", "b": "MPD"}]}, {"name": "SCHEMA_BUILD_ID", "vtype": "CHAR", "position": "2", "desc": "Schema Build ID", "column": null, "width": 5, "ranges": []}, {"name": "TABBLKST", "vtype": "CHAR", "position": "3", "desc": "2020 Tabulation State (FIPS)", "column": null, "width": 2, "ranges": [{"a": "44", "b": "51"}, {"a": "72", "b": "72"}, {"a": "08", "b": "13"}, {"a": "53", "b": "56"}, {"a": "01", "b": "02"}, {"a": "04", "b": "06"}, {"a": "15", "b": "42"}]}, {"name": "TABBLKCOU", "vtype": "CHAR", "position": "4", "desc": "2020 Tabulation County (FIPS)", "column": null, "width": 3, "ranges": [{"a": "001", "b": "840"}]}, {"name": "TABTRACTCE", "vtype": "CHAR", "position": "5", "desc": "2020 Tabulation Census Tract", "column": null, "width": 6, "ranges": [{"a": "000100", "b": "998999"}]}, {"name": "TABBLKGRPCE", "vtype": "CHAR", "position": "6", "desc": "2020 Census Block Group", "column": null, "width": 1, "ranges": [{"a": "0", "b": "9"}]}, {"name": "TABBLK", "vtype": "CHAR", "position": "7", "desc": "2020 Block Number", "column": null, "width": 4, "ranges": [{"a": "0001", "b": "9999"}]}, {"name": "EPNUM", "vtype": "INT", "position": "8", "desc": "Privacy Edited Person Number", "column": null, "width": 9, "ranges": [{"a": "0", "b": "999999999"}]}, {"name": "RTYPE", "vtype": "CHAR", "position": "9", "desc": "Record Type", "column": null, "width": 1, "ranges": [{"a": "5", "b": "5"}, {"a": "3", "b": "3"}]}, {"name": "GQTYPE", "vtype": "CHAR", "position": "10", "desc": "Group Quarters Type", "column": null, "width": 3, "ranges": [{"a": "106", "b": "106"}, {"a": "103", "b": "103"}, {"a": "102", "b": "102"}, {"a": "104", "b": "104"}, {"a": "602", "b": "602"}, {"a": "105", "b": "105"}, {"a": "301", "b": "301"}, {"a": "401", "b": "401"}, {"a": "402", "b": "402"}, {"a": "403", "b": "403"}, {"a": "203", "b": "203"}, {"a": "997", "b": "997"}, {"a": "501", "b": "501"}, {"a": "601", "b": "601"}, {"a": "706", "b": "706"}, {"a": "801", "b": "801"}, {"a": "201", "b": "201"}, {"a": "704", "b": "704"}, {"a": "701", "b": "701"}, {"a": "904", "b": "904"}, {"a": "405", "b": "405"}, {"a": "802", "b": "802"}, {"a": "202", "b": "202"}, {"a": "903", "b": "903"}, {"a": "900", "b": "900"}, {"a": "901", "b": "901"}, {"a": "101", "b": "101"}, {"a": "000", "b": "000"}, {"a": "404", "b": "404"}]}, {"name": "RELSHIP", "vtype": "CHAR", "position": "11", "desc": "Edited Relationship", "column": null, "width": 2, "ranges": [{"a": "25", "b": "25"}, {"a": "32", "b": "32"}, {"a": "23", "b": "23"}, {"a": "20", "b": "20"}, {"a": "26", "b": "26"}, {"a": "30", "b": "30"}, {"a": "34", "b": "34"}, {"a": "37", "b": "37"}, {"a": "33", "b": "33"}, {"a": "36", "b": "36"}, {"a": "24", "b": "24"}, {"a": "38", "b": "38"}, {"a": "21", "b": "21"}, {"a": "35", "b": "35"}, {"a": "31", "b": "31"}, {"a": "22", "b": "22"}, {"a": "29", "b": "29"}, {"a": "28", "b": "28"}, {"a": "27", "b": "27"}]}, {"name": "QSEX", "vtype": "CHAR", "position": "12", "desc": "Edited Sex", "column": null, "width": 1, "ranges": [{"a": "2", "b": "2"}, {"a": "1", "b": "1"}]}, {"name": "QAGE", "vtype": "INT", "position": "13", "desc": "Edited Age", "column": null, "width": 3, "ranges": [{"a": "0", "b": "115"}]}, {"name": "CENHISP", "vtype": "CHAR", "position": "14", "desc": "Hispanic Origin", "column": null, "width": 1, "ranges": [{"a": "2", "b": "2"}, {"a": "1", "b": "1"}]}, {"name": "CENRACE", "vtype": "CHAR", "position": "15", "desc": "Census Race", "column": null, "width": 2, "ranges": [{"a": "14", "b": "14"}, {"a": "16", "b": "16"}, {"a": "09", "b": "09"}, {"a": "11", "b": "11"}, {"a": "01", "b": "01"}, {"a": "12", "b": "12"}, {"a": "20", "b": "20"}, {"a": "17", "b": "17"}, {"a": "06", "b": "06"}, {"a": "15", "b": "15"}, {"a": "26", "b": "26"}, {"a": "30", "b": "30"}, {"a": "36", "b": "36"}, {"a": "45", "b": "45"}, {"a": "46", "b": "46"}, {"a": "55", "b": "55"}, {"a": "61", "b": "61"}, {"a": "18", "b": "18"}, {"a": "27", "b": "27"}, {"a": "03", "b": "03"}, {"a": "10", "b": "10"}, {"a": "13", "b": "13"}, {"a": "23", "b": "23"}, {"a": "54", "b": "54"}, {"a": "07", "b": "07"}, {"a": "33", "b": "33"}, {"a": "53", "b": "53"}, {"a": "22", "b": "22"}, {"a": "31", "b": "31"}, {"a": "41", "b": "41"}, {"a": "48", "b": "48"}, {"a": "50", "b": "50"}, {"a": "25", "b": "25"}, {"a": "28", "b": "28"}, {"a": "29", "b": "29"}, {"a": "32", "b": "32"}, {"a": "34", "b": "34"}, {"a": "52", "b": "52"}, {"a": "59", "b": "59"}, {"a": "02", "b": "02"}, {"a": "47", "b": "47"}, {"a": "37", "b": "37"}, {"a": "19", "b": "19"}, {"a": "40", "b": "40"}, {"a": "08", "b": "08"}, {"a": "21", "b": "21"}, {"a": "56", "b": "56"}, {"a": "39", "b": "39"}, {"a": "38", "b": "38"}, {"a": "44", "b": "44"}, {"a": "42", "b": "42"}, {"a": "49", "b": "49"}, {"a": "57", "b": "57"}, {"a": "63", "b": "63"}, {"a": "51", "b": "51"}, {"a": "04", "b": "04"}, {"a": "24", "b": "24"}, {"a": "58", "b": "58"}, {"a": "60", "b": "60"}, {"a": "62", "b": "62"}, {"a": "35", "b": "35"}, {"a": "05", "b": "05"}, {"a": "43", "b": "43"}]}, {"name": "LIVE_ALONE", "vtype": "CHAR", 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transform/__init__.py

johnpeterflynn/surface-texture-inpainting-net

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transform/__init__.py

johnpeterflynn/surface-texture-inpainting-net

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transform/__init__.py

johnpeterflynn/surface-texture-inpainting-net

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from .color_normalization import * from .coords_normalization import * from .random_rotation import * from .random_linear_transformation import * from .add_self_loops import * from .move_to_origin import *

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runtime/bindings/python/src/openvino/offline_transformations_pybind/__init__.py

chccc1994/openvino

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[ "Apache-2.0" ]

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2020-11-19T15:53:18.000Z

runtime/bindings/python/src/openvino/offline_transformations_pybind/__init__.py

thomas-yanxin/openvino

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[ "Apache-2.0" ]

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2022-02-21T13:14:20.000Z

runtime/bindings/python/src/openvino/offline_transformations_pybind/__init__.py

thomas-yanxin/openvino

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2021-10-20T13:02:12.000Z

# -*- coding: utf-8 -*- # Copyright (C) 2021 Intel Corporation # SPDX-License-Identifier: Apache-2.0 from openvino.pyopenvino.offline_transformations_pybind import apply_moc_transformations from openvino.pyopenvino.offline_transformations_pybind import apply_pot_transformations from openvino.pyopenvino.offline_transformations_pybind import apply_low_latency_transformation from openvino.pyopenvino.offline_transformations_pybind import apply_pruning_transformation from openvino.pyopenvino.offline_transformations_pybind import generate_mapping_file from openvino.pyopenvino.offline_transformations_pybind import apply_make_stateful_transformation

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cycles.py

samtx/rankine

81f33e98d4d98d5783351330d971f3a2463b34ea

[ "MIT" ]

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2015-10-29T19:59:31.000Z

2017-10-21T08:21:40.000Z

cycles.py

samtx/rankine

81f33e98d4d98d5783351330d971f3a2463b34ea

[ "MIT" ]

null

cycles.py

samtx/rankine

81f33e98d4d98d5783351330d971f3a2463b34ea

[ "MIT" ]

2

2015-11-21T17:20:40.000Z

2019-01-20T14:20:24.000Z

from .components import Boiler, Turbine, Condenser, Pump, connect_flow from .thermodynamics import Cycle, State def ideal_rankine(**kwargs): fluid = kwargs.get('fluid','Water') p_hi = kwargs.get('p_hi',None) * 1e6 # MPa p_lo = kwargs.get('p_lo',None) * 1e6 # MPa turb_eff = kwargs.get('turb_eff',1.0) pump_eff = kwargs.get('pump_eff',1.0) T_0 = kwargs.get('T_0', 25) + 273.15 # deg C p_0 = kwargs.get('p_0', 101.3) * 1e3 # kPa dead = State(p=p_0, T=T_0, fluid=fluid) cycle = Cycle(fluid=fluid, dead=dead) turb = Turbine(p_hi=p_hi, p_lo=p_lo, eff=turb_eff, fluid=fluid, cycle=cycle) turb.compute() cond = Condenser(inflow=turb.outflow, p=p_lo, fluid=fluid, cycle=cycle) cond.compute() pump = Pump(inflow=cond.outflow, p_hi=p_hi, eff=pump_eff, fluid=fluid, cycle=cycle) pump.compute() boil = Boiler(inflow=pump.outflow, outflow=turb.inflow, fluid=fluid, cycle=cycle) boil.compute() cycle.flow_exergy() # Define cycle properties cycle.wnet = turb.work + pump.work cycle.qnet = boil.heat + cond.heat cycle.en_eff = cycle.wnet / boil.heat cycle.bwr = -pump.work / turb.work cycle.ex_eff = cycle.wnet / boil.delta_ef # cycle exergetic eff return cycle def rankine_superheated(**kwargs): fluid = kwargs.get('fluid','Water') p_hi = kwargs.get('p_hi',None) * 1e6 # MPa p_lo = kwargs.get('p_lo',None) * 1e6 # MPa T_hi = kwargs.get('T_hi',None) + 273.15 # deg C turb_eff = kwargs.get('turb_eff',1.0) pump_eff = kwargs.get('pump_eff',1.0) T_0 = kwargs.get('T_0', 25) + 273.15 # deg C p_0 = kwargs.get('p_0', 101.3) * 1e3 # kPa dead = State(p=p_0, T=T_0, fluid=fluid) cycle = Cycle(fluid=fluid, dead=dead) turb = Turbine(p_hi=p_hi, p_lo=p_lo, T_hi=T_hi, eff=turb_eff, fluid=fluid, cycle=cycle) turb.compute() cond = Condenser(inflow=turb.outflow, p=p_lo, fluid=fluid, cycle=cycle) cond.compute() pump = Pump(inflow=cond.outflow, p_hi=p_hi, eff=pump_eff, fluid=fluid, cycle=cycle) pump.compute() boil = Boiler(inflow=pump.outflow, outflow=turb.inflow, fluid=fluid, cycle=cycle) boil.compute() cycle.flow_exergy() # Define cycle properties cycle.wnet = turb.work + pump.work cycle.qnet = boil.heat + cond.heat cycle.en_eff = cycle.wnet / boil.heat cycle.bwr = -pump.work / turb.work cycle.ex_eff = cycle.wnet / boil.delta_ef # cycle exergetic eff return cycle def rankine_reheated(**kwargs): fluid = kwargs.get('fluid','Water') p_hi = kwargs.get('p_hi',None) * 1e6 # MPa p_mid = kwargs.get('p_mid',None) * 1e6 # MPa p_lo = kwargs.get('p_lo',None) * 1e6 # MPa T_hi = kwargs.get('T_hi',None) + 273.15 # deg C T_mid = kwargs.get('T_mid',None) + 273.15 # deg C hp_turb_eff = kwargs.get('hp_turb_eff',1.0) lp_turb_eff = kwargs.get('lp_turb_eff',1.0) pump_eff = kwargs.get('pump_eff',1.0) T_0 = kwargs.get('T_0', 25) + 273.15 # deg C p_0 = kwargs.get('p_0', 101.3) * 1e3 # kPa dead = State(p=p_0, T=T_0, fluid=fluid) cycle = Cycle(fluid=fluid, dead=dead) # high pressure turbine hp_turb = Turbine(p_hi=p_hi, p_lo=p_mid, T_hi=T_hi, eff=hp_turb_eff, name='HP Turb', fluid=fluid, cycle=cycle) hp_turb.compute() lp_boil = Boiler(inflow=hp_turb.outflow, p=p_mid, T_hi=T_mid, name='LP Boil', fluid=fluid, cycle=cycle) lp_boil.compute() lp_turb = Turbine(p_hi=p_mid, p_lo=p_lo, T_hi=T_mid, eff=lp_turb_eff, name='LP Turb', fluid=fluid, cycle=cycle) lp_turb.compute() cond = Condenser(inflow=lp_turb.outflow, p=p_lo, fluid=fluid, cycle=cycle) cond.compute() pump = Pump(inflow=cond.outflow, p_hi=p_hi, eff=pump_eff, fluid=fluid, cycle=cycle) pump.compute() hp_boil = Boiler(inflow=pump.outflow, outflow=hp_turb.inflow, name='HP Boil', fluid=fluid, cycle=cycle) hp_boil.compute() cycle.flow_exergy() # Define cycle properties cycle.wnet = hp_turb.work + lp_turb.work + pump.work cycle.qnet = hp_boil.heat +lp_boil.heat + cond.heat cycle.en_eff = cycle.wnet / (hp_boil.heat +lp_boil.heat) cycle.bwr = -pump.work / (hp_turb.work + lp_turb.work) cycle.ex_eff = cycle.wnet / (hp_boil.delta_ef + lp_boil.delta_ef) # cycle exergetic eff return cycle

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common/constants/loginconstants.py

cosee/realworld-demo-ui-test

309c5aad0be1978ef819ed14c3c15ead09ab819b

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common/constants/loginconstants.py

cosee/realworld-demo-ui-test

309c5aad0be1978ef819ed14c3c15ead09ab819b

[ "Apache-2.0" ]

null

common/constants/loginconstants.py

cosee/realworld-demo-ui-test

309c5aad0be1978ef819ed14c3c15ead09ab819b

[ "Apache-2.0" ]

null

LOGIN_URL = "/login" XPATH_EMAIL_INPUT = "//form//input[contains(@placeholder,'Email')]" XPATH_PASSWORD_INPUT = "//form//input[contains(@placeholder,'Password')]" XPATH_SUBMIT = "//form//button[contains(@type,'submit')]"

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py

Python

tonic/agents/__init__.py

Eyalcohenx/tonic

afc15c6fa23fed4f696f68f0acf961964b0172dc

[ "MIT" ]

350

2020-08-06T13:49:11.000Z

2022-03-24T08:53:59.000Z

tonic/agents/__init__.py

Eyalcohenx/tonic

afc15c6fa23fed4f696f68f0acf961964b0172dc

[ "MIT" ]

12

2020-08-07T02:21:58.000Z

2021-05-20T11:50:44.000Z

tonic/agents/__init__.py

Eyalcohenx/tonic

afc15c6fa23fed4f696f68f0acf961964b0172dc

[ "MIT" ]

35

2020-08-06T16:53:40.000Z

2021-12-17T06:01:09.000Z

from .agent import Agent from .basic import Constant, NormalRandom, OrnsteinUhlenbeck, UniformRandom __all__ = [Agent, Constant, NormalRandom, OrnsteinUhlenbeck, UniformRandom]

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null

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0

7

d94a83adc661b7d95524dc4e2c6dbb2bf6999999

168

py

Python

itm-413/fiddle/randrange.py

bradyhouse/iit

7d1e91864467f56fa6dc901a83e97977630132b3

[ "MIT" ]

1

2018-05-02T11:45:25.000Z

itm-413/fiddle/randrange.py

bradyhouse/iit

7d1e91864467f56fa6dc901a83e97977630132b3

[ "MIT" ]

null

itm-413/fiddle/randrange.py

bradyhouse/iit

7d1e91864467f56fa6dc901a83e97977630132b3

[ "MIT" ]

null

import os import random print 'random.randrange(0,10):' print random.randrange(0,10) print 'random.randrange(0,1000,10):' print random.randrange(0,1000,10) os._exit(1)

21

36

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168

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1

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9

d983cfef197f83dae564ab0b4a52a7ba3ac721b3

9,786

py

Python

lib/instagram.py

jsmnkk/api

e35ebd62ccd24e11d3a3b9944dfdd614d2940392

[ "MIT" ]

null

lib/instagram.py

jsmnkk/api

e35ebd62ccd24e11d3a3b9944dfdd614d2940392

[ "MIT" ]

null

lib/instagram.py

jsmnkk/api

e35ebd62ccd24e11d3a3b9944dfdd614d2940392

[ "MIT" ]

1

2021-12-26T15:40:02.000Z

from flask import jsonify def insta1(json_data): if json_data: json_data_ = json_data try: json_result = json_data_['items'][0] user_metadata = json_result['user'] location_data = json_result['location'] caption_data = json_result['caption'] caption_edited = json_result['caption_is_edited'] media_count = json_result['carousel_media_count'] media_data = json_result['carousel_media'] media_result = [] for i in media_data: if 'video_versions' in i: typ = 'video' media_data_ = i['video_versions'] else: typ = 'image' media_data_ = i['image_versions2']['candidates'] width = i['original_width'] height = i['original_height'] media_result.append({ 'type':typ, 'url':media_data_[0]['url'] }) location = location_data['name'] owner = { 'username':user_metadata['username'], 'full_name':user_metadata['full_name'], 'verified':user_metadata['is_verified'] } caption = caption_data['text'] results = dict( status = True, caption = caption, caption_edited = caption_edited, owner = owner, location = location, media_result = media_result ) return results except Exception as e: print(e) return {'status': False} def insta2(json_data): if json_data: json_data_ = json_data try: json_result = json_data_ type_name = json_result['graphql']['shortcode_media']['__typename'] if type_name == 'GraphVideo': result_url = json_result['graphql']['shortcode_media']['video_url'] view_count = json_result['graphql']['shortcode_media']['video_view_count'] caption = json_result['graphql']['shortcode_media']['edge_media_to_caption']['edges'][0]['node']['text'] caption_edited = json_result['graphql']['shortcode_media']['caption_is_edited'] owner = json_result['graphql']['shortcode_media']['owner'] owner_verifed = owner['is_verified'] owner_username = owner['username'] owner_name = owner['full_name'] video_duration = json_result['graphql']['shortcode_media']['video_duration'] loc = json_result['graphql']['shortcode_media']['location'] if loc == None: location = "null" else: location = loc['name'] ac_caption = json_result['graphql']['shortcode_media']['accessibility_caption'] if not ac_caption == None: accessibility_caption = ac_caption, else: accessibility_caption = "null" media_url = [] media_url.append(dict( type = 'video', url = result_url )) results = dict( status = True, caption = caption, caption_edited = caption_edited, owner = dict( username = owner_username, full_name = owner_name, verified = owner_verifed ), location = location, media_result = media_url ) elif type_name == 'GraphSidecar': caption = json_result['graphql']['shortcode_media']['edge_media_to_caption']['edges'][0]['node']['text'] caption_edited = json_result['graphql']['shortcode_media']['caption_is_edited'] owner = json_result['graphql']['shortcode_media']['owner'] owner_verifed = owner['is_verified'] owner_username = owner['username'] owner_name = owner['full_name'] loc = json_result['graphql']['shortcode_media']['location'] if loc == None: location = "null" else: location = loc['name'] media = json_result['graphql']['shortcode_media']['edge_sidecar_to_children']['edges'] media_result = [] for i in media: node = i['node'] type_name_ = node['__typename'] if type_name_ == 'GraphVideo': result_url = node['video_url'] view_count = node['video_view_count'] ac_caption = node['accessibility_caption'] if not ac_caption == None: accessibility_caption = ac_caption, else: accessibility_caption = "null" media_result.append(dict( type= 'video', url = result_url )) else: result_url = node['display_url'] ac_caption = node['accessibility_caption'] if not ac_caption == None: accessibility_caption = ac_caption, else: accessibility_caption = "null" media_result.append(dict( type='image', url= result_url )) results = dict( status = True, caption = caption, caption_edited = caption_edited, owner = dict( username = owner_username, full_name = owner_name, verified = owner_verifed ), location = location, media_result = media_result ) else: result_url = json_result['graphql']['shortcode_media']['display_url'] caption = json_result['graphql']['shortcode_media']['edge_media_to_caption']['edges'][0]['node']['text'] caption_edited = json_result['graphql']['shortcode_media']['caption_is_edited'] owner = json_result['graphql']['shortcode_media']['owner'] owner_verifed = owner['is_verified'] owner_username = owner['username'] owner_name = owner['full_name'] loc = json_result['graphql']['shortcode_media']['location'] if loc == None: location = "null" else: location = loc['name'] ac_caption = json_result['graphql']['shortcode_media']['accessibility_caption'] if not ac_caption == None: accessibility_caption = ac_caption, else: accessibility_caption = "null" media_result = [] media_result.append(dict( type = 'image', url = result_url )) results = dict( status = True, caption = caption, caption_edited = caption_edited, owner = dict( username = owner_username, full_name = owner_name, verified = owner_verifed ), location = location, media_result = media_result ) return (results) except Exception as e: print(e) return {'status': False} def instatv1(json_data): if json_data: json_data_ = json_data if True: json_result = json_data_['items'][0] user_metadata = json_result['user'] caption_data = json_result['caption'] caption_edited = json_result['caption_is_edited'] media_data_ = json_result['video_versions'] width = json_result['original_width'] height = json_result['original_height'] like_count = json_result['like_count'] video_duration = json_result['video_duration'] view_count = json_result['view_count'] media_result = { 'url':media_data_[0]['url'], 'width':width, 'height':height } owner = { 'username':user_metadata['username'], 'full_name':user_metadata['full_name'], 'verified':user_metadata['is_verified'] } caption = caption_data['text'] results = dict( status = True, caption = caption, caption_edited = caption_edited, owner = owner, like_count = like_count, video_duration = video_duration, view_count = view_count, media_result = media_result ) return results

44.481818

124

0.461271

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9,786

5.3

0.1

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0.080189

0.122642

0.806368

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9,786

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0

null

0

1

0

1

0

null

0

7

79773928b83d9314070e90e7e5792ba543c6480e

2,424

py

Python

2017/aoc_01.py

justanotherdot/advent-linguist

4dfd4ef483ddbd40fb8cf7a1719705186d4ed823

[ "MIT" ]

null

2017/aoc_01.py

justanotherdot/advent-linguist

4dfd4ef483ddbd40fb8cf7a1719705186d4ed823

[ "MIT" ]

4

2016-12-06T03:23:27.000Z

2019-04-07T21:50:04.000Z

2017/aoc_01.py

justanotherdot/advent-linguist

4dfd4ef483ddbd40fb8cf7a1719705186d4ed823

[ "MIT" ]

null

# Input. s = '36743676522426214741687639282183216978128565594112364817283598621384839756628424146779311928318383597235968644687665159591573413233616717112157752469191845757712928347624726438516211153946892241449523148419426259291788938621886334734497823163281389389853675932246734153563861233894952657625868415432316155487242813798425779743561987563734944962846865263722712768674838244444385768568489842989878163655771847362656153372265945464128668412439248966939398765446171855144544285463517258749813731314365947372548811434646381595273172982466142248474238762554858654679415418693478512641864168398722199638775667744977941183772494538685398862344164521446115925528534491788728448668455349588972443295391385389551783289417349823383324748411689198219329996666752251815562522759374542652969147696419669914534586732436912798519697722586795746371697338416716842214313393228587413399534716394984183943123375517819622837972796431166264646432893478557659387795573234889141897313158457637142238315327877493994933514112645586351127139429281675912366669475931711974332271368287413985682374943195886455927839573986464555141679291998645936683639162588375974549467767623463935561847869527383395278248952314792112113126231246742753119748113828843917812547224498319849947517745625844819175973986843636628414965664466582172419197227695368492433353199233558872319529626825788288176275546566474824257336863977574347328469153319428883748696399544974133392589823343773897313173336568883385364166336362398636684459886283964242249228938383219255513996468586953519638111599935229115228837559242752925943653623682985576323929415445443378189472782454958232341986626791182861644112974418239286486722654442144851173538756859647218768134572858331849543266169672745221391659363674921469481143686952478771714585793322926824623482923579986434741714167134346384551362664177865452895348948953472328966995731169672573555621939584872187999325322327893336736611929752613241935211664248961527687778371971259654541239471766714469122213793348414477789271187324629397292446879752673' d = {} swapped_in_last = False for i, c in enumerate(s): k = int(c) # Edge cases. if i == 0 and c == s[-1]: d[k] = d.get(k, 0) + 1 swapped_in_last = True if i == len(s) - 2 and swapped_in_last: break if i < len(s) - 1 and s[i+1] == c: d[k] = d.get(k, 0) + 1 total = 0 for k, n in d.items(): total += k*n print(total)

101

2,036

0.914604

77

2,424

28.714286

0.376623

0.012212

0.017639

0.005427

0.008141

0

0.891998

0.056518

2,424

23

2,037

105.391304

0.07477

0.007426

0

0.125

0

0.845129

0

1

0

1

0

false

0

0.0625

0

1

null

0

1

0

1

0

1

null

1

0

8

8de32f2e52c69064e70a8a07809f500fc985b8e4

141

py

Python

doiListSingleFile.py

LechMadeyski/PhD19MarekSosnicki

9ea8af436e451f47062a132abc02f21b00403876

[ "Apache-2.0" ]

2

2021-03-23T18:23:27.000Z

2021-06-22T20:01:59.000Z

doiListSingleFile.py

LechMadeyski/AutomatedSearchHelper

9ea8af436e451f47062a132abc02f21b00403876

[ "Apache-2.0" ]

null

doiListSingleFile.py

LechMadeyski/AutomatedSearchHelper

9ea8af436e451f47062a132abc02f21b00403876

[ "Apache-2.0" ]

null

def doiList(): return [ "10.1016/j.jksuci.2019.05.004", # ScienceDirect good example "10.1016/j.eswa.2019.04.070" ]

20.142857

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0.146341

0.170732

0

0.285714

0.255319

141

6

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23.5

0.495238

0.184397

0

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0

1

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true

0

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1

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null

0

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1

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1

0

1

null

0

1

0

1

0

7

30dd6d35b6556b83d4b34506f8ec8bdd308549f0

13,658

py

Python

Bayes Classifier/bayes_cost.py

prash030/pattern_recognition_projects

9ef2631a5d054d23616e4955a6343380a6cea7d6

[ "Apache-2.0" ]

null

Bayes Classifier/bayes_cost.py

prash030/pattern_recognition_projects

9ef2631a5d054d23616e4955a6343380a6cea7d6

[ "Apache-2.0" ]

null

Bayes Classifier/bayes_cost.py

prash030/pattern_recognition_projects

9ef2631a5d054d23616e4955a6343380a6cea7d6

[ "Apache-2.0" ]

null

# bayes_cost.py # Copyright (c) Prasanth "Prash" Ganesan # Author email: <prasganesan.pg@gmail.com> # Program to classify the classes in data using Bayes classifier from pylab import * # Function for counting number of classes to use in finding prior def count(C,data): num=0 for i in range(len(data)): if data[i,-1] == C: num+=1 return num # Bayesian and MAP classification function def bayesian_map(data, griddata, method): # Assumes D=2; method = 1 for MAP, 2 for Bayesian with uniform cost and 3 for bayesian with given cost matrix data = array(data) Y = array(data[:,2]) Xgrid = griddata # should have two columns # Find the prior Classes = np.unique(Y) C = [] for i in range(len(Classes)): C.append(count(Classes[i],data)) prior = [] for i in range(len(Classes)): prior.append(C[i]/len(data)) if sum(prior) != 1: print("Error: Prior doesn't sum to 1, check your computation") return 0 # covariance matrix of each class for i in range(len(Classes)): row = np.where(Y == Classes[i]) row = array(row) row = np.transpose(row) for j in range(len(row)): if j==0: X = data[row[j],:-1] else: X = np.vstack((X,data[row[j],:-1])) mu_x = sum(X[:,0])/len(X) mu_y = sum(X[:,1])/len(X) var_x = sum(np.square(X[:,0]-mu_x))/(len(X)-1) var_y = sum(np.square(X[:,1]-mu_y))/(len(X)-1) covar_xy = sum((array(X[:,0])-mu_x) * (array(X[:,1])-mu_y))/(len(X)-1) covmatrix = array([[var_x, covar_xy], [covar_xy,var_y]]) mu = np.hstack((mu_x,mu_y)) D = data.shape[1] - 1 # class conditionals if i==0: N = np.exp(-0.5*(np.dot(np.dot((Xgrid-mu),(np.linalg.pinv(covmatrix))),(np.transpose(Xgrid-mu)))))/((pow((2*np.pi),(D/2)))*(pow(np.linalg.det(covmatrix),0.5))) N = np.diag(N) else: N0 = np.exp(-0.5*(np.dot(np.dot((Xgrid-mu),(np.linalg.pinv(covmatrix))),(np.transpose(Xgrid-mu)))))/((pow((2*3.14),(D/2)))*(pow(np.linalg.det(covmatrix),0.5))) N = np.vstack((N,np.diag(N0))) N = np.transpose(N) # Do computations for bayesian and MAP if method == 1: print("MAP classification") for i in range(N.shape[1]): if i==0: post = N[:,i]*prior[i] else: post = np.vstack((post,N[:,i]*prior[i])) post = np.transpose(post) # Now classify according to MAP label = [] for i in range(len(Xgrid)): if post[i,0] > post[i,1]: label.append(0) else: label.append(1) label = array(label) elif method == 2: print("Bayesain with uniform cost") cost_uni = 1 - np.identity(len(Classes)) Risk = np.dot(N,cost_uni) for i in range(Risk.shape[1]): if i==0: post = Risk[:,i]*prior[i] else: post = np.vstack((post,Risk[:,i]*prior[i])) post = np.transpose(post) # Now classify according to bayesian min risk label = [] for i in range(len(Xgrid)): temp = np.where(post[i,:] == min(post[i,:])) label.append(temp[0]+1) label = array(label) elif method == 3: print("Bayesain with non-uniform cost matrix") cost_nonuni = array([[-0.2,0.07,0.07,0.07],[0.07,-0.15,0.07,0.07],[0.07,0.07,-0.05,0.07],[0.03,0.03,0.03,0.03]]) Risk = np.dot(N,cost_nonuni) for i in range(Risk.shape[1]): if i==0: post = Risk[:,i]*prior[i] else: post = np.vstack((post,Risk[:,i]*prior[i])) post = np.transpose(post) # Now classify according to bayesian min risk label = [] for i in range(len(Xgrid)): temp = np.where(post[i,:] == min(post[i,:])) label.append(temp[0]+1) label = array(label) else: print("Method has to be 1, 2 or 3") return 0 return label # Bayesian with increased prior for class 1 def bayesian_map_prior(data, griddata, method): # Assumes D=2; method = 1 for MAP, 2 for Bayesian with uniform cost and 3 for bayesian with given cost matrix data = array(data) Y = array(data[:,2]) Xgrid = griddata # should have two columns # Find the prior Classes = np.unique(Y) C = [] for i in range(len(Classes)): C.append(count(Classes[i],data)) prior = [] for i in range(len(Classes)): prior.append(C[i]/len(data)) # Increasing prior of class 1 here a = min(prior)/2 prior[0] = prior[0]-a prior[1] = prior[1]+a if sum(prior) != 1: print("Error: Prior doesn't sum to 1, check your computation") return 0 # covariance matrix of each class for i in range(len(Classes)): row = np.where(Y == Classes[i]) row = array(row) row = np.transpose(row) for j in range(len(row)): if j==0: X = data[row[j],:-1] else: X = np.vstack((X,data[row[j],:-1])) mu_x = sum(X[:,0])/len(X) mu_y = sum(X[:,1])/len(X) var_x = sum(np.square(X[:,0]-mu_x))/(len(X)-1) var_y = sum(np.square(X[:,1]-mu_y))/(len(X)-1) covar_xy = sum((array(X[:,0])-mu_x) * (array(X[:,1])-mu_y))/(len(X)-1) covmatrix = array([[var_x, covar_xy], [covar_xy,var_y]]) mu = np.hstack((mu_x,mu_y)) D = data.shape[1] - 1 # class conditionals if i==0: N = np.exp(-0.5*(np.dot(np.dot((Xgrid-mu),(np.linalg.pinv(covmatrix))),(np.transpose(Xgrid-mu)))))/((pow((2*np.pi),(D/2)))*(pow(np.linalg.det(covmatrix),0.5))) N = np.diag(N) else: N0 = np.exp(-0.5*(np.dot(np.dot((Xgrid-mu),(np.linalg.pinv(covmatrix))),(np.transpose(Xgrid-mu)))))/((pow((2*3.14),(D/2)))*(pow(np.linalg.det(covmatrix),0.5))) N = np.vstack((N,np.diag(N0))) N = np.transpose(N) # Do computations for bayesian and MAP if method == 1: print("MAP classification") for i in range(N.shape[1]): if i==0: post = N[:,i]*prior[i] else: post = np.vstack((post,N[:,i]*prior[i])) post = np.transpose(post) # Now classify according to MAP label = [] for i in range(len(Xgrid)): if post[i,0] > post[i,1]: label.append(0) else: label.append(1) label = array(label) elif method == 2: print("Bayesain with uniform cost and increased prior") cost_uni = 1 - np.identity(len(Classes)) Risk = np.dot(N,cost_uni) for i in range(Risk.shape[1]): if i==0: post = Risk[:,i]*prior[i] else: post = np.vstack((post,Risk[:,i]*prior[i])) post = np.transpose(post) # Now classify according to bayesian min risk label = [] for i in range(len(Xgrid)): temp = np.where(post[i,:] == min(post[i,:])) label.append(temp[0]+1) label = array(label) elif method == 3: print("Bayesain with non-uniform cost matrix and increased prior") cost_nonuni = array([[-0.2,0.07,0.07,0.07],[0.07,-0.15,0.07,0.07],[0.07,0.07,-0.05,0.07],[0.03,0.03,0.03,0.03]]) Risk = np.dot(N,cost_nonuni) for i in range(Risk.shape[1]): if i==0: post = Risk[:,i]*prior[i] else: post = np.vstack((post,Risk[:,i]*prior[i])) post = np.transpose(post) # Now classify according to bayesian min risk label = [] for i in range(len(Xgrid)): temp = np.where(post[i,:] == min(post[i,:])) label.append(temp[0]+1) label = array(label) else: print("Method has to be 1, 2 or 3") return 0 return label # Function to create grid and output the class labels def gridpts(data, traverserow,traversecol,res,method,priorflag): xgrid=[] ygrid=[] if traverserow == 1: for col in range(int(min(data[:,1])-1)*res,int(max(data[:,1])+1)*res,1): for row in range(int(min(data[:,0])-1)*res,int(max(data[:,0])+1)*res,1): xgrid.append(row/res) ygrid.append(col/res) elif traversecol==1: for row in range(int(min(data[:,0])-1)*res,int(max(data[:,0])+1)*res,1): for col in range(int(min(data[:,1])-1)*res,int(max(data[:,1])+1)*res,1): xgrid.append(row/res) ygrid.append(col/res) else: print("The traverse flags are wrong. One should be zero and the other should be 1") return 0 xgrid=array(xgrid) ygrid=array(ygrid) griddata = np.transpose(np.vstack((xgrid,ygrid))) if priorflag==1: label = bayesian_map(data, griddata, method) else: label = bayesian_map_prior(data, griddata, method) # Find the boundaries k12 = 0 for i in range(len(griddata)-1): if (label[i+1]-label[i] != 0) and (griddata[i,0] != max(xgrid)) and (griddata[i,1] != max(ygrid)): if k12==0: Cbound = griddata[i,:] else: Cbound = np.vstack((Cbound,griddata[i,:])) k12 = 1 return(griddata,label,Cbound) # MAIN # Program for bayesian classifier using uniform cost # import csv file data = np.genfromtxt("nuts_bolts.csv",delimiter=',') # Testing - Apply the classifier for all the grid points resolution = 100 # Change the resolution herer [griddata,label,Cbound] = gridpts(data,0,1,resolution,2,1) [_,_,Cbound2] = gridpts(data,1,0,resolution,2,1) # Plot the data, regions and boundaries for i in range(len(griddata)): if label[i]==1: plt.scatter(griddata[i,0], griddata[i,1],s=30, c="yellow", edgecolor="yellow") elif label[i]==2: plt.scatter(griddata[i,0], griddata[i,1],s=30, c="green", edgecolor="green") elif label[i]==3: plt.scatter(griddata[i,0], griddata[i,1],s=30, c="orange", edgecolor="orange") elif label[i]==4: plt.scatter(griddata[i,0], griddata[i,1],s=30, c="red", edgecolor="red") for i in range(0,len(data)): if data[i,2]==1: plt.scatter(data[i,0], data[i,1], s=50, c="yellow") elif data[i,2]==2: plt.scatter(data[i,0], data[i,1], s=50, c="green") elif data[i,2]==3: plt.scatter(data[i,0], data[i,1], s=50, c="orange") elif data[i,2]==4: plt.scatter(data[i,0], data[i,1], s=50, c="red") plt.scatter(Cbound[:,0], Cbound[:,1], c='black') plt.scatter(Cbound2[:,0], Cbound2[:,1], c='black') fig1 = plt.gcf() plt.show() fig1.savefig('bayes_cost_uni.png', dpi=100) # Repeat for non-uniform cost matrix [griddata,label,Cbound] = gridpts(data,0,1,resolution,3,1) [_,_,Cbound2] = gridpts(data,1,0,resolution,3,1) # Plot everything for i in range(len(griddata)): if label[i]==1: plt.scatter(griddata[i,0], griddata[i,1],s=30, c="yellow", edgecolor="yellow") elif label[i]==2: plt.scatter(griddata[i,0], griddata[i,1],s=30, c="green", edgecolor="green") elif label[i]==3: plt.scatter(griddata[i,0], griddata[i,1],s=30, c="orange", edgecolor="orange") elif label[i]==4: plt.scatter(griddata[i,0], griddata[i,1],s=30, c="red", edgecolor="red") for i in range(0,len(data)): if data[i,2]==1: plt.scatter(data[i,0], data[i,1], s=50, c="yellow") elif data[i,2]==2: plt.scatter(data[i,0], data[i,1], s=50, c="green") elif data[i,2]==3: plt.scatter(data[i,0], data[i,1], s=50, c="orange") elif data[i,2]==4: plt.scatter(data[i,0], data[i,1], s=50, c="red") plt.scatter(Cbound[:,0], Cbound[:,1], c='black') plt.scatter(Cbound2[:,0], Cbound2[:,1], c='black') fig1 = plt.gcf() plt.show() fig1.savefig('bayes_cost_nonuni.png', dpi=100) # With increased prior # plot for non-uniform cost and incresed prior [griddata,label,Cbound] = gridpts(data,0,1,resolution,3,2) [_,_,Cbound2] = gridpts(data,1,0,resolution,3,2) # Plot the data for i in range(len(griddata)): if label[i]==1: plt.scatter(griddata[i,0], griddata[i,1],s=30, c="yellow", edgecolor="yellow") elif label[i]==2: plt.scatter(griddata[i,0], griddata[i,1],s=30, c="green", edgecolor="green") elif label[i]==3: plt.scatter(griddata[i,0], griddata[i,1],s=30, c="orange", edgecolor="orange") elif label[i]==4: plt.scatter(griddata[i,0], griddata[i,1],s=30, c="red", edgecolor="red") for i in range(0,len(data)): if data[i,2]==1: plt.scatter(data[i,0], data[i,1], s=50, c="yellow") elif data[i,2]==2: plt.scatter(data[i,0], data[i,1], s=50, c="green") elif data[i,2]==3: plt.scatter(data[i,0], data[i,1], s=50, c="orange") elif data[i,2]==4: plt.scatter(data[i,0], data[i,1], s=50, c="red") plt.scatter(Cbound[:,0], Cbound[:,1], c='black') plt.scatter(Cbound2[:,0], Cbound2[:,1], c='black') fig1 = plt.gcf() plt.show() fig1.savefig('bayes_cost_nonuni_incprior.png', dpi=100)

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Python

rlpyt/envs/mazeworld/mazeworld/envs/mazeworld_env.py

Improbable-AI/curiosity_baselines

42dca92b2fb66c0790a72206bf48595d3b5b487f

[ "MIT" ]

5

2021-02-19T01:35:22.000Z

2022-03-29T20:48:34.000Z

rlpyt/envs/mazeworld/mazeworld/envs/mazeworld_env.py

Improbable-AI/curiosity_baselines

42dca92b2fb66c0790a72206bf48595d3b5b487f

[ "MIT" ]

null

rlpyt/envs/mazeworld/mazeworld/envs/mazeworld_env.py

Improbable-AI/curiosity_baselines

42dca92b2fb66c0790a72206bf48595d3b5b487f

[ "MIT" ]

2

2021-04-17T09:11:56.000Z

2022-03-24T04:21:17.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np from gym import spaces from pycolab.examples import (better_scrolly_maze, deepmind_maze, deepmind_5room, deepmind_5room_randomfixed, deepmind_5room_bouncing, deepmind_5room_brownian, deepmind_8room, deepmind_8room_v1, deepmind_5room_moveable, deepmind_5room_moveable_v1 ) from pycolab import cropping from . import pycolab_env class MazeWorld(pycolab_env.PyColabEnv): """Custom maze world game. """ def __init__(self, level=0, max_iterations=500, obs_type='mask', default_reward=0.): self.level = level self.objects = ['a', 'b', 'c', 'd', 'e', '@'] self.state_layer_chars = ['P', '#'] + self.objects super(MazeWorld, self).__init__( max_iterations=max_iterations, obs_type=obs_type, default_reward=default_reward, action_space=spaces.Discrete(4 + 1), # left, right, up, down, no action act_null_value=4, resize_scale=17) def make_game(self): self._croppers = self.make_croppers() return better_scrolly_maze.make_game(self.level) def make_croppers(self): return [cropping.ScrollingCropper(rows=5, cols=5, to_track=['P'], scroll_margins=(None, None), pad_char=' ')] class DeepmindMazeWorld_5room(pycolab_env.PyColabEnv): """Deepmind World Discovery Models experiment 1. """ def __init__(self, level=0, max_iterations=500, obs_type='mask', default_reward=0.): self.level = level self.objects = ['a', 'b'] self.state_layer_chars = ['#'] + self.objects # each char will produce a layer in the disentangled state super(DeepmindMazeWorld_5room, self).__init__( max_iterations=max_iterations, obs_type=obs_type, default_reward=default_reward, action_space=spaces.Discrete(4 + 1), # left, right, up, down, no action resize_scale=17) def make_game(self): self._croppers = self.make_croppers() return deepmind_5room.make_game(self.level) def make_croppers(self): return [cropping.ScrollingCropper(rows=5, cols=5, to_track=['P'], scroll_margins=(None, None), pad_char=' ')] class DeepmindMazeWorld_5room_randomfixed(pycolab_env.PyColabEnv): """Deepmind World Discovery Models experiment 2. """ def __init__(self, level=0, max_iterations=500, obs_type='mask', default_reward=0.): self.level = level self.objects = ['a', 'b'] self.state_layer_chars = ['#'] + self.objects # each char will produce a layer in the disentangled state super(DeepmindMazeWorld_5room_randomfixed, self).__init__( max_iterations=max_iterations, obs_type=obs_type, default_reward=default_reward, action_space=spaces.Discrete(4 + 1), # left, right, up, down, no action resize_scale=17) def make_game(self): self._croppers = self.make_croppers() return deepmind_5room_randomfixed.make_game(self.level) def make_croppers(self): return [cropping.ScrollingCropper(rows=5, cols=5, to_track=['P'], scroll_margins=(None, None), pad_char=' ')] class DeepmindMazeWorld_5room_bouncing(pycolab_env.PyColabEnv): """Deepmind World Discovery Models experiment 3. """ def __init__(self, level=0, max_iterations=500, obs_type='mask', default_reward=0.): self.level = level self.objects = ['a', 'b', 'c'] self.state_layer_chars = ['#'] + self.objects # each char will produce a layer in the disentangled state super(DeepmindMazeWorld_5room_bouncing, self).__init__( max_iterations=max_iterations, obs_type=obs_type, default_reward=default_reward, action_space=spaces.Discrete(4 + 1), # left, right, up, down, no action resize_scale=17) def make_game(self): self._croppers = self.make_croppers() return deepmind_5room_bouncing.make_game(self.level) def make_croppers(self): return [cropping.ScrollingCropper(rows=5, cols=5, to_track=['P'], scroll_margins=(None, None), pad_char=' ')] class DeepmindMazeWorld_5room_brownian(pycolab_env.PyColabEnv): """Deepmind World Discovery Models experiment 4. """ def __init__(self, level=0, max_iterations=500, obs_type='mask', default_reward=0.): self.level = level self.objects = ['a', 'b'] self.state_layer_chars = ['#'] + self.objects # each char will produce a layer in the disentangled state super(DeepmindMazeWorld_5room_brownian, self).__init__( max_iterations=max_iterations, obs_type=obs_type, default_reward=default_reward, action_space=spaces.Discrete(4 + 1), # left, right, up, down, no action resize_scale=17) def make_game(self): self._croppers = self.make_croppers() return deepmind_5room_brownian.make_game(self.level) def make_croppers(self): return [cropping.ScrollingCropper(rows=5, cols=5, to_track=['P'], scroll_margins=(None, None), pad_char=' ')] class DeepmindMazeWorld_maze(pycolab_env.PyColabEnv): """Deepmind World Discovery Models experiment 5. """ def __init__(self, level=0, max_iterations=500, obs_type='mask', default_reward=0.): self.level = level self.objects = ['a', 'b', 'c', 'd', 'e'] self.state_layer_chars = ['#'] + self.objects # each char will produce a layer in the disentangled state super(DeepmindMazeWorld_maze, self).__init__( max_iterations=max_iterations, obs_type=obs_type, default_reward=default_reward, action_space=spaces.Discrete(4 + 1), # left, right, up, down, no action act_null_value=4, resize_scale=17) def make_game(self): self._croppers = self.make_croppers() return deepmind_maze.make_game(self.level) def make_croppers(self): return [cropping.ScrollingCropper(rows=5, cols=5, to_track=['P'], scroll_margins=(None, None), pad_char=' ')] class DeepmindMazeWorld_8room(pycolab_env.PyColabEnv): """An eight room environment with many fixed objects. """ def __init__(self, level=0, max_iterations=500, obs_type='mask', default_reward=0.): self.level = level self.objects = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'] self.state_layer_chars = ['#'] + self.objects # each char will produce a layer in the disentangled state super(DeepmindMazeWorld_8room, self).__init__( max_iterations=max_iterations, obs_type=obs_type, default_reward=default_reward, action_space=spaces.Discrete(4 + 1), # left, right, up, down, no action act_null_value=4, resize_scale=17) def make_game(self): self._croppers = self.make_croppers() return deepmind_8room.make_game(self.level) def make_croppers(self): return [cropping.ScrollingCropper(rows=5, cols=5, to_track=['P'], scroll_margins=(None, None), pad_char=' ')] class DeepmindMazeWorld_8room_v1(pycolab_env.PyColabEnv): """An eight room environment with one fixed object. """ def __init__(self, level=0, max_iterations=500, obs_type='mask', default_reward=0.): self.level = level self.objects = ['a'] self.state_layer_chars = ['#'] + self.objects # each char will produce a layer in the disentangled state super(DeepmindMazeWorld_8room_v1, self).__init__( max_iterations=max_iterations, obs_type=obs_type, default_reward=default_reward, action_space=spaces.Discrete(4 + 1), # left, right, up, down, no action act_null_value=4, resize_scale=17) def make_game(self): self._croppers = self.make_croppers() return deepmind_8room_v1.make_game(self.level) def make_croppers(self): return [cropping.ScrollingCropper(rows=5, cols=5, to_track=['P'], scroll_margins=(None, None), pad_char=' ')] class DeepmindMazeWorld_5room_moveable(pycolab_env.PyColabEnv): """A 5 room environment with an affectable object. """ def __init__(self, level=0, max_iterations=500, obs_type='mask', default_reward=0.): self.level = level self.objects = ['e', 'b'] self.state_layer_chars = ['#'] + self.objects # each char will produce a layer in the disentangled state super(DeepmindMazeWorld_5room_moveable, self).__init__( max_iterations=max_iterations, obs_type=obs_type, default_reward=default_reward, action_space=spaces.Discrete(4 + 1), # left, right, up, down, no action act_null_value=4, resize_scale=17) def make_game(self): self._croppers = self.make_croppers() return deepmind_5room_moveable.make_game(self.level) def make_croppers(self): return [cropping.ScrollingCropper(rows=5, cols=5, to_track=['P'], scroll_margins=(None, None), pad_char=' ')] class DeepmindMazeWorld_5room_moveable_v1(pycolab_env.PyColabEnv): """A 5 room environment with an affectable object that has stochastic movement. """ def __init__(self, level=0, max_iterations=500, obs_type='mask', default_reward=0.): self.level = level self.objects = ['e', 'b'] self.state_layer_chars = ['#'] + self.objects # each char will produce a layer in the disentangled state super(DeepmindMazeWorld_5room_moveable_v1, self).__init__( max_iterations=max_iterations, obs_type=obs_type, default_reward=default_reward, action_space=spaces.Discrete(4 + 1), # left, right, up, down, no action act_null_value=4, resize_scale=17) def make_game(self): self._croppers = self.make_croppers() return deepmind_5room_moveable_v1.make_game(self.level) def make_croppers(self): return [cropping.ScrollingCropper(rows=5, cols=5, to_track=['P'], scroll_margins=(None, None), pad_char=' ')]

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Python

harness/determined/common/experimental/__init__.py

winding-lines/determined

231e1ac1df9d77cabc09b724ca2f8070eac0da73

[ "Apache-2.0" ]

1

2021-12-18T06:39:09.000Z

harness/determined/common/experimental/__init__.py

winding-lines/determined

231e1ac1df9d77cabc09b724ca2f8070eac0da73

[ "Apache-2.0" ]

5

2020-10-28T20:46:27.000Z

2021-06-25T19:20:48.000Z

harness/determined/common/experimental/__init__.py

winding-lines/determined

231e1ac1df9d77cabc09b724ca2f8070eac0da73

[ "Apache-2.0" ]

null

from determined.common.experimental.checkpoint import Checkpoint from determined.common.experimental.determined import Determined from determined.common.experimental.experiment import ExperimentReference from determined.common.experimental.session import Session from determined.common.experimental.trial import TrialReference, TrialSortBy, TrialOrderBy from determined.common.experimental.model import Model, ModelOrderBy, ModelSortBy, ModelVersion

64.285714

95

0.884444

47

450

8.468085

0.361702

0.211055

0.301508

0.482412

0

0.064444

450

6

96

75

0.945368

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

eb5e2eed53c0d66b8e61c08816589b9e781ccab5

39,475

py

Python

Trajectory_Optimization_Algorithm/traj_optimization.py

ut-ims-robotics/skywalker

9aec216509fd31affa139c5d92bee0c9756000c4

[ "BSD-3-Clause" ]

null

Trajectory_Optimization_Algorithm/traj_optimization.py

ut-ims-robotics/skywalker

9aec216509fd31affa139c5d92bee0c9756000c4

[ "BSD-3-Clause" ]

null

Trajectory_Optimization_Algorithm/traj_optimization.py

ut-ims-robotics/skywalker

9aec216509fd31affa139c5d92bee0c9756000c4

[ "BSD-3-Clause" ]

null

import time import autograd.numpy as np # Thinly-wrapped version of Numpy from autograd import grad import autograd from scipy.linalg import block_diag import matplotlib.pyplot as plt import bernstein_coeff_order10_arbitinterval from scipy.optimize import minimize from scipy.linalg import block_diag from scipy.optimize import LinearConstraint from scipy.optimize import BFGS from mpl_toolkits.mplot3d import Axes3D import csv import scipy.io as io def obj_fun(c): global xe,ye,ze global f c_q1 = c[0:nvar] c_q2 = c[nvar:2*nvar] c_q3 = c[2*nvar:3*nvar] c_q4 = c[3*nvar:4*nvar] c_q5 = c[4*nvar:5*nvar] c_q6 = c[5*nvar:6*nvar] c_x = c[6*nvar:7*nvar] c_y = c[7*nvar:8*nvar] c_phi = c[8*nvar:9*nvar] q_1 = np.dot(P, c_q1) q_2 = np.dot(P, c_q2) q_3 = np.dot(P, c_q3) q_4 = np.dot(P, c_q4) q_5 = np.dot(P, c_q5) q_6 = np.dot(P, c_q6) q_1_dot = np.dot(Pdot, c_q1) q_2_dot = np.dot(Pdot, c_q2) q_3_dot = np.dot(Pdot, c_q3) q_4_dot = np.dot(Pdot, c_q4) q_5_dot = np.dot(Pdot, c_q5) q_6_dot = np.dot(Pdot, c_q6) q_1_ddot = np.dot(Pddot, c_q1) q_2_ddot = np.dot(Pddot, c_q2) q_3_ddot = np.dot(Pddot, c_q3) q_4_ddot = np.dot(Pddot, c_q4) q_5_ddot = np.dot(Pddot, c_q5) q_6_ddot = np.dot(Pddot, c_q6) xo = np.dot(P, c_x) yo = np.dot(P, c_y) phi_base = np.dot(P, c_phi) x_base_vel = np.dot(Pdot, c_x) y_base_vel = np.dot(Pdot, c_y) x_base_acc = np.dot(Pddot, c_x) y_base_acc = np.dot(Pddot, c_y) eq_nonhol = x_base_vel*np.sin(phi_base)-y_base_vel*np.cos(phi_base) x_e_l = -0.0996*((-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + ((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4))*np.sin(q_5) - 0.0997*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + 0.0997*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) - 0.3922*(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - 0.3922*(6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3) + 0.0996*(6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) - 1.0*np.sin(q_1))*np.cos(q_5) - 2.60237444818813e-17*np.sin(q_1)*np.sin(q_2) - 0.1333*np.sin(q_1) + 0.425*np.cos(q_1)*np.cos(q_2) y_e_l = -0.0996*(((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + ((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4))*np.sin(q_5) + 0.0997*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) - 0.0997*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) - 0.3922*(np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) - 0.3922*(-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3) + 0.0996*(-6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*np.cos(q_1))*np.cos(q_5) + 0.425*np.sin(q_1)*np.cos(q_2) + 2.60237444818813e-17*np.sin(q_2)*np.cos(q_1) + 0.1333*np.cos(q_1) z_e_l = -0.0996*((-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.sin(q_4) + (1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.cos(q_4))*np.sin(q_5) - 0.0997*(-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.cos(q_4) + 0.0997*(1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.sin(q_4) + 0.0996*(6.12323399573677e-17*(-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*(1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.sin(q_4) + 6.12323399573677e-17)*np.cos(q_5) - 0.3922*np.sin(q_2)*np.cos(q_3) - 0.425*np.sin(q_2) - 0.3922*np.sin(q_3)*np.cos(q_2) + 0.1625 tr = (-(((-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + ((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4))*np.cos(q_5) + (6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) - 1.0*np.sin(q_1))*np.sin(q_5))*np.sin(q_6) + (-6.12323399573677e-17*((-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + ((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4))*np.sin(q_5) + 1.0*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 1.0*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) + 6.12323399573677e-17*(6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) - 1.0*np.sin(q_1))*np.cos(q_5) + 6.12323399573677e-17*np.sin(q_1))*np.cos(q_6))*np.sin(phi_base) + ((((-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + ((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4))*np.cos(q_5) + (6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) - 1.0*np.sin(q_1))*np.sin(q_5))*np.cos(q_6) + (-6.12323399573677e-17*((-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + ((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4))*np.sin(q_5) + 1.0*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 1.0*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) + 6.12323399573677e-17*(6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) - 1.0*np.sin(q_1))*np.cos(q_5) + 6.12323399573677e-17*np.sin(q_1))*np.sin(q_6))*np.cos(phi_base) + (-((((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + ((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4))*np.cos(q_5) + (-6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*np.cos(q_1))*np.sin(q_5))*np.sin(q_6) + (-6.12323399573677e-17*(((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + ((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4))*np.sin(q_5) - 1.0*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 1.0*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 6.12323399573677e-17*(-6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*np.cos(q_1))*np.cos(q_5) - 6.12323399573677e-17*np.cos(q_1))*np.cos(q_6))*np.cos(phi_base) + (((((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + ((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4))*np.cos(q_5) + (-6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*np.cos(q_1))*np.sin(q_5))*np.cos(q_6) + (-6.12323399573677e-17*(((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + ((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4))*np.sin(q_5) - 1.0*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 1.0*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 6.12323399573677e-17*(-6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*np.cos(q_1))*np.cos(q_5) - 6.12323399573677e-17*np.cos(q_1))*np.sin(q_6))*np.sin(phi_base) - 1.0*((-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.sin(q_4) + (1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.cos(q_4))*np.sin(q_5) - 6.12323399573677e-17*(-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.cos(q_4) + 6.12323399573677e-17*(1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.sin(q_4) + 1.0*(6.12323399573677e-17*(-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*(1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.sin(q_4) + 6.12323399573677e-17)*np.cos(q_5) + 2.29584502165847e-49 ax1 = -0.5*(((-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.sin(q_4) + (1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.cos(q_4))*np.cos(q_5) + (6.12323399573677e-17*(-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*(1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.sin(q_4) + 6.12323399573677e-17)*np.sin(q_5))*np.sin(q_6) - 0.5*(-1.0*((-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + ((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4))*np.sin(q_5) - 6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) + 1.0*(6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) - 1.0*np.sin(q_1))*np.cos(q_5) - 3.74939945665464e-33*np.sin(q_1))*np.sin(phi_base) - 0.5*(-1.0*(((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + ((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4))*np.sin(q_5) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) - 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*(-6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*np.cos(q_1))*np.cos(q_5) + 3.74939945665464e-33*np.cos(q_1))*np.cos(phi_base) + 0.5*(-6.12323399573677e-17*((-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.sin(q_4) + (1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.cos(q_4))*np.sin(q_5) + 1.0*(-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.cos(q_4) - 1.0*(1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.sin(q_4) + 6.12323399573677e-17*(6.12323399573677e-17*(-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*(1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.sin(q_4) + 6.12323399573677e-17)*np.cos(q_5) - 3.74939945665464e-33)*np.cos(q_6) ax2 = -0.5*(((-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.sin(q_4) + (1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.cos(q_4))*np.cos(q_5) + (6.12323399573677e-17*(-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*(1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.sin(q_4) + 6.12323399573677e-17)*np.sin(q_5))*np.cos(q_6) + 0.5*(-1.0*((-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + ((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4))*np.sin(q_5) - 6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) + 1.0*(6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) - 1.0*np.sin(q_1))*np.cos(q_5) - 3.74939945665464e-33*np.sin(q_1))*np.cos(phi_base) + 0.5*(-1.0*(((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + ((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4))*np.sin(q_5) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) - 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*(-6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*np.cos(q_1))*np.cos(q_5) + 3.74939945665464e-33*np.cos(q_1))*np.sin(phi_base) - 0.5*(-6.12323399573677e-17*((-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.sin(q_4) + (1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.cos(q_4))*np.sin(q_5) + 1.0*(-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.cos(q_4) - 1.0*(1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.sin(q_4) + 6.12323399573677e-17*(6.12323399573677e-17*(-1.0*np.sin(q_2)*np.sin(q_3) + 1.0*np.cos(q_2)*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*(1.0*np.sin(q_2)*np.cos(q_3) + 1.0*np.sin(q_3)*np.cos(q_2))*np.sin(q_4) + 6.12323399573677e-17)*np.cos(q_5) - 3.74939945665464e-33)*np.sin(q_6) ax3 = -0.5*(-(((-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + ((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4))*np.cos(q_5) + (6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) - 1.0*np.sin(q_1))*np.sin(q_5))*np.sin(q_6) + (-6.12323399573677e-17*((-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + ((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4))*np.sin(q_5) + 1.0*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 1.0*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) + 6.12323399573677e-17*(6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) - 1.0*np.sin(q_1))*np.cos(q_5) + 6.12323399573677e-17*np.sin(q_1))*np.cos(q_6))*np.cos(phi_base) + 0.5*((((-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + ((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4))*np.cos(q_5) + (6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) - 1.0*np.sin(q_1))*np.sin(q_5))*np.cos(q_6) + (-6.12323399573677e-17*((-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + ((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4))*np.sin(q_5) + 1.0*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 1.0*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) + 6.12323399573677e-17*(6.12323399573677e-17*(-(6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) - 6.12323399573677e-17*((6.12323399573677e-17*np.sin(q_1)*np.sin(q_2) - np.cos(q_1)*np.cos(q_2))*np.cos(q_3) + (6.12323399573677e-17*np.sin(q_1)*np.cos(q_2) + np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4) - 1.0*np.sin(q_1))*np.cos(q_5) + 6.12323399573677e-17*np.sin(q_1))*np.sin(q_6))*np.sin(phi_base) - 0.5*(-((((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + ((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4))*np.cos(q_5) + (-6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*np.cos(q_1))*np.sin(q_5))*np.sin(q_6) + (-6.12323399573677e-17*(((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + ((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4))*np.sin(q_5) - 1.0*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 1.0*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 6.12323399573677e-17*(-6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*np.cos(q_1))*np.cos(q_5) - 6.12323399573677e-17*np.cos(q_1))*np.cos(q_6))*np.sin(phi_base) + 0.5*(((((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + ((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4))*np.cos(q_5) + (-6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*np.cos(q_1))*np.sin(q_5))*np.cos(q_6) + (-6.12323399573677e-17*(((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.cos(q_4) + ((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.sin(q_4))*np.sin(q_5) - 1.0*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 1.0*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 6.12323399573677e-17*(-6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.sin(q_3) + (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.cos(q_3))*np.sin(q_4) + 6.12323399573677e-17*((np.sin(q_1)*np.sin(q_2) - 6.12323399573677e-17*np.cos(q_1)*np.cos(q_2))*np.cos(q_3) - (-np.sin(q_1)*np.cos(q_2) - 6.12323399573677e-17*np.sin(q_2)*np.cos(q_1))*np.sin(q_3))*np.cos(q_4) + 1.0*np.cos(q_1))*np.cos(q_5) - 6.12323399573677e-17*np.cos(q_1))*np.sin(q_6))*np.cos(phi_base) xe = (np.cos(phi_base)*(x_e_l+xc)-np.sin(phi_base)*(y_e_l+yc) ) + xo ye = (np.sin(phi_base)*(x_e_l+xc)+np.cos(phi_base)*(y_e_l+yc) ) + yo ze = z_e_l+zc eq_x = xe-xf_traj eq_y = ye-yf_traj eq_z = ze-zf_traj tr_g = tr-tr_des #print "tr_g:", tr_g #print "tr:", tr ax1_g = ax1-ax1_des #print "ax1_g:", ax1_g ax2_g = ax2-ax2_des #print "ax2_g:", ax2_g ax3_g = ax3-ax3_des #print "ax3_g:", ax3_g eq_q1_boundary = q_1[0]-q_1[-1] eq_q2_boundary = q_2[0]-q_2[-1] eq_q3_boundary = q_3[0]-q_3[-1] eq_q4_boundary = q_4[0]-q_4[-1] eq_q5_boundary = q_5[0]-q_5[-1] eq_q6_boundary = q_6[0]-q_6[-1] eq_q1dot_boundary = q_1_dot[0]-q_1_dot[-1] eq_q2dot_boundary = q_2_dot[0]-q_2_dot[-1] eq_q3dot_boundary = q_3_dot[0]-q_3_dot[-1] eq_q4dot_boundary = q_4_dot[0]-q_4_dot[-1] eq_q5dot_boundary = q_5_dot[0]-q_5_dot[-1] eq_q6dot_boundary = q_6_dot[0]-q_6_dot[-1] eq_q1ddot_boundary = q_1_ddot[0]-q_1_ddot[-1] eq_q2ddot_boundary = q_2_ddot[0]-q_2_ddot[-1] eq_q3ddot_boundary = q_3_ddot[0]-q_3_ddot[-1] eq_q4ddot_boundary = q_4_ddot[0]-q_4_ddot[-1] eq_q5ddot_boundary = q_5_ddot[0]-q_5_ddot[-1] eq_q6ddot_boundary = q_6_ddot[0]-q_6_ddot[-1] eq_xdot_boundary = x_base_vel[0]-x_base_vel[-1] eq_ydot_boundary = y_base_vel[0]-y_base_vel[-1] eq_xddot_boundary = x_base_acc[0]-x_base_acc[-1] eq_yddot_boundary = y_base_acc[0]-y_base_acc[-1] eq_x_boundary = xo[0]-xo[-1] eq_y_boundary = yo[0]-yo[-1] eq = np.hstack(( tr_g,ax1_g, ax2_g, ax3_g, eq_nonhol, eq_x, eq_y, eq_z, eq_q1_boundary, eq_q2_boundary, eq_q3_boundary, eq_q4_boundary, eq_q5_boundary, eq_q6_boundary, eq_q1dot_boundary, eq_q2dot_boundary, eq_q3dot_boundary, eq_q4dot_boundary, eq_q5dot_boundary, eq_q6dot_boundary, eq_q1ddot_boundary, eq_q2ddot_boundary, eq_q3ddot_boundary, eq_q4ddot_boundary, eq_q5ddot_boundary, eq_q6ddot_boundary, eq_x_boundary, eq_y_boundary, eq_xdot_boundary, eq_ydot_boundary, eq_xddot_boundary, eq_yddot_boundary )) joint_limit_1 = np.hstack(( q_1-theta_max[0]*np.ones(num_horizon), -q_1+theta_min[0]*np.ones(num_horizon) )) joint_limit_2 = np.hstack(( q_2-theta_max[1]*np.ones(num_horizon), -q_2+theta_min[1]*np.ones(num_horizon) )) joint_limit_3 = np.hstack(( q_3-theta_max[2]*np.ones(num_horizon), -q_3+theta_min[2]*np.ones(num_horizon) )) joint_limit_4 = np.hstack(( q_4-theta_max[3]*np.ones(num_horizon), -q_4+theta_min[3]*np.ones(num_horizon) )) joint_limit_5 = np.hstack(( q_5-theta_max[4]*np.ones(num_horizon), -q_5+theta_min[4]*np.ones(num_horizon) )) joint_limit_6 = np.hstack(( q_6-theta_max[5]*np.ones(num_horizon), -q_6+theta_min[5]*np.ones(num_horizon) )) joint_limit = np.hstack(( joint_limit_1, joint_limit_2, joint_limit_3, joint_limit_4, joint_limit_5, joint_limit_6 )) joint_constraints = np.log(1+np.exp(joint_limit) ) joint_constraints_cost = np.sum( joint_constraints ) f = 0.0001*(np.sum(q_1_ddot**2)+np.sum(q_2_ddot**2)+np.sum(q_3_ddot**2)+np.sum(q_4_ddot**2)+np.sum(q_5_ddot**2)+np.sum(q_6_ddot**2)+w_2*(np.sum(x_base_vel**2)+np.sum(y_base_vel**2)))+200*np.sum(eq**2)+0.001*joint_constraints_cost return f maxiter = 600 numdof_manipulator = 6 theta_min = np.array([-np.pi, -np.pi, -np.pi, -np.pi, -np.pi, -np.pi]) theta_max = np.array([np.pi, np.pi, np.pi, np.pi, np.pi, np.pi]) ################# base motion penalty w_2 = 100 #############################33 ## Ellipses not centered at the origin ## we add offsets to the x and y terms to translate (or "move") the ellipse to the correct location ## x = x_center +a*np.cos(t) # y = y_center +b*np.cos(t) # a is the radius along the x-axis # b is the radius along the y-axis tot_time = np.linspace(0.0, 20 , 100) omega = 2*np.pi/tot_time[-1] num_horizon = len(tot_time) x_center = 0.1 y_center = 0.4 z_center = 1.5 #z_center = 1.4 ###Results rad_x = 0.8 rad_y = 0.0 rad_z = 0.3 xc = -0.26235 yc = 0.1 zc = 0.842 t = tot_time[-1]/len(tot_time) xf_traj = x_center+rad_x*np.cos(omega*tot_time) ## semi-major axis #print "xf_traj:",xf_traj yf_traj = y_center+rad_y*np.sin(omega*tot_time) ## semi-minor axis #print "yf_traj:",yf_traj zf_traj = z_center+rad_z*np.sin(omega*tot_time) #print "zf_traj:",zf_traj R_des = np.array([[-1.0000000, 0.0000000, 0.0000000], [0.0000000, 0.0000000, 1.0000000], [0.0000000, 1.0000000, 0.0000000]]) tr_des = R_des[0,0]+R_des[1,1]+R_des[2,2] ax1_des = 0.5*(R_des[2,1]-R_des[1,2]) ax2_des = 0.5*(R_des[0,2]-R_des[2,0]) ax3_des = 0.5*(R_des[1,0]-R_des[0,1]) print "ax3_des: ",ax3_des tr_des_n = np.zeros(len(xf_traj)) #print "tr_des_n:",type(tr_des_n) ax1_des_n = np.zeros(len(xf_traj)) ax2_des_n = np.zeros(len(xf_traj)) ax3_des_n = np.zeros(len(xf_traj)) for i in range(len(xf_traj)): tr_des_n[i] = tr_des ax1_des_n[i]= ax1_des ax2_des_n[i]= ax2_des ax3_des_n[i]= ax3_des print "tr_des_n: ",tr_des_n P, Pdot, Pddot = bernstein_coeff_order10_arbitinterval.bernstein_coeff_order10_new(10, tot_time[0], tot_time[-1], tot_time.reshape(len(tot_time),1)) nvar = np.shape(P)[1] num = np.shape(P)[0] num_dof = 9 x_guess = np.zeros(num_dof*nvar) obj_grad = grad(obj_fun) A_lin = block_diag(P, P, P, P, P, P) A_lin = np.hstack(( A_lin, np.zeros(( np.shape(A_lin)[0], 3*nvar )) )) b_lin_ub = np.hstack(( theta_max[0]*np.ones(num), theta_max[1]*np.ones(num), theta_max[2]*np.ones(num), theta_max[3]*np.ones(num), theta_max[4]*np.ones(num), theta_max[5]*np.ones(num) )) b_lin_lb = np.hstack(( theta_min[0]*np.ones(num), theta_min[1]*np.ones(num), theta_min[2]*np.ones(num), theta_min[3]*np.ones(num), theta_min[4]*np.ones(num), theta_min[5]*np.ones(num) )) linear_constraint = LinearConstraint(A_lin, b_lin_lb, b_lin_ub) opts = {'maxiter':maxiter} np.cost = [] def log_cost(x): np.cost.append(f) start = time.time() sol = minimize(obj_fun, method='SLSQP', x0=x_guess, jac=obj_grad, constraints=[linear_constraint], options = opts, callback=log_cost ) print time.time()-start x_sol = sol['x'] ### c_q1 = x_sol[0:nvar] c_q2 = x_sol[nvar:2*nvar] c_q3 = x_sol[2*nvar:3*nvar] c_q4 = x_sol[3*nvar:4*nvar] c_q5 = x_sol[4*nvar:5*nvar] c_q6 = x_sol[5*nvar:6*nvar] c_x = x_sol[6*nvar:7*nvar] c_y = x_sol[7*nvar:8*nvar] c_phi = x_sol[8*nvar:9*nvar] q1 = np.dot(P, c_q1) q2 = np.dot(P, c_q2) q3 = np.dot(P, c_q3) q4 = np.dot(P, c_q4) q5 = np.dot(P, c_q5) q6 = np.dot(P, c_q6) x_base = np.dot(P, c_x) y_base = np.dot(P, c_y) phi_base = np.dot(P, c_phi) xdot_base = np.dot(Pdot, c_x) ydot_base = np.dot(Pdot, c_y) phidot_base = np.dot(Pdot, c_phi) ############################################## j_f = open('joint_angles.csv', 'w') jointsangles = csv.writer(j_f, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) for i in range(len(q1)): jointsangles.writerow([q1[i],q2[i],q3[i],q4[i],q5[i],q6[i]]) vel_base = np.sign(xdot_base)*np.sqrt(xdot_base**2+ydot_base**2) f = open('x_vel.csv', 'w') #f = open('xyphi.csv', 'w') writer_x = csv.writer(f, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) for i in range (len(vel_base)): writer_x.writerow([vel_base[i]]) #writer_x.writerow([x_base[i],y_base[i],phi_base[i]]) f1 = open('phi_vel.csv', 'w') writer_phi = csv.writer(f1, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) for i in range (len(phidot_base)): writer_phi.writerow([phidot_base[i]]) ########## Desired Tajectory traj = open('translation.csv', 'w') traj_p = csv.writer(traj, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) for i in range(len(xf_traj)): traj_p.writerow([xf_traj[i],yf_traj[i],zf_traj[i]]) init_pose = open('intial_pose.csv', 'w') init_pose_1 = csv.writer(init_pose, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) for i in range(len(xf_traj)): init_pose_1.writerow([x_base[i],y_base[i],phi_base[i]]) ########## #xe = [x._value for x in xe] #ye = [x._value for x in ye] #ze = [x._value for x in ze] # plt.figure(1) # plt.plot(q1, '-r', linewidth = 3.0) # plt.plot(q2, '-g', linewidth = 3.0) # plt.plot(q3, '-b', linewidth = 3.0) # plt.plot(q4, '-k', linewidth = 3.0) # plt.plot(q5, '-c', linewidth = 3.0) # plt.plot(q6, '-m', linewidth = 3.0) #print (f_1) #np.cost = [x._value for x in np.cost] #print np.cost print type (xe) print "xe:",xe print "ye:",ye print "ze:",ze print "x_base:",x_base print "y_base:",y_base fig = plt.figure() ax = fig.gca(projection='3d') ax.plot(xe, ye, ze, color="blue", linewidth=2.5, label='Trajector') ax.plot(xf_traj, yf_traj, zf_traj, color="red", linewidth=1.5, label='Desired Trajectory') ax.plot(x_base, y_base) ax.legend() ax.set_xlabel('X') ax.set_ylabel('Y') ax.set_zlabel('Z') plt.show()

112.144886

9,408

0.666903

9,841

39,475

2.449751

0.026928

0.166335

0.196864

0.092044

0.831301

0.797038

0.760785

0.751037

0.748092

0.746557

0

0.225435

0.062597

39,475

351

9,409

112.464387

0.426062

0.026143

0

0.031963

0

0.004573

0

null

0

0.063927

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0.041096

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null

0

1

0

12

eb7d4aed08dfd1b0449bd059255676062b1d6fb5

20,204

py

Python

swamp/parsers/tests/test_phaser_parser.py

rigdenlab/SWAMP

3e93ab27f4acf0124f7cb2d78a151cc3352b9c6e

[ "BSD-3-Clause" ]

2

2020-02-15T11:06:34.000Z

2020-04-10T08:48:49.000Z

swamp/parsers/tests/test_phaser_parser.py

rigdenlab/SWAMP

3e93ab27f4acf0124f7cb2d78a151cc3352b9c6e

[ "BSD-3-Clause" ]

15

2020-02-04T10:56:07.000Z

2021-02-12T09:11:03.000Z

swamp/parsers/tests/test_phaser_parser.py

rigdenlab/SWAMP

3e93ab27f4acf0124f7cb2d78a151cc3352b9c6e

[ "BSD-3-Clause" ]

4

2020-02-04T13:25:09.000Z

2022-03-23T13:44:17.000Z

import os import unittest from swamp.utils import create_tempfile from swamp.parsers.phaserparser import PhaserParser class PhaserParserTestCase(unittest.TestCase): def test_1(self): file_contents = """REMARK TITLE [no title set] REMARK ENSEMBLE PDB_1 EULER 49.90 83.52 180.06 FRAC -0.288 -0.526 -0.158 CRYST1 73.330 73.330 163.520 90.00 90.00 90.00 P 41 2 2 8 SCALE1 0.013637 -0.000000 -0.000000 0.00000 SCALE2 0.000000 0.013637 -0.000000 0.00000 SCALE3 0.000000 0.000000 0.006115 0.00000 ATOM 1 N ALA A 1 14.378 -30.428 -13.824 1.00 61.34 N ATOM 210 CB ALA A 42 2.780 -38.569 -12.366 1.00 77.20 C END """ stdout_contents = """****************************************************************************************** *** Phaser Module: PREPROCESSOR 2.8.3 *** ****************************************************************************************** COMPOSITION BY ASU COMPOSITION PROTEIN MW 34738.3 NUM 1 ELLG HIRES ON ENSEMBLE PDB_1 PDB & "/data1/filo/results/SWAMP_benchmarking/SWAMP_0/swamp_mr/search_461/run_1/searchmodels/searchmodel_1_polyala.pdb" RMS & 0.1 ENSEMBLE PDB_1 DISABLE CHECK ON HKLIN "/data1/filo/results/SWAMP_benchmarking/3zux.mtz" JOBS 1 KEYWORDS ON LABIN F = FP SIGF = SIGFP MUTE ON ROOT "3zux_phaser" SEARCH ENSEMBLE PDB_1 SGALT BASE P 4w 2c SGALT SELECT LIST SGALT TEST P 41 2 2 XYZOUT ON KILL TIME 1440 CPU Time: 0 days 0 hrs 0 mins 0.76 secs ( 0.76 secs) Finished: Mon Feb 17 02:38:52 2020 """ fname = create_tempfile(content=file_contents) self.addCleanup(os.remove, fname) parser = PhaserParser(stdout=stdout_contents, fname=fname) parser.parse() self.assertEqual('NA', parser.LLG) self.assertTrue(parser.error) def test_2(self): file_contents = """REMARK TITLE [no title set] REMARK Log-Likelihood Gain: 70.197 REMARK RFZ=3.0 TFZ=5.6 PAK=0 LLG=70 TFZ==6.0 LLG=70 TFZ==5.9 PAK=0 LLG=70 RFZ==3.5 TFZ==5.9 REMARK ENSEMBLE PDB_1 EULER 49.90 83.52 180.06 FRAC -0.288 -0.526 -0.158 CRYST1 73.330 73.330 163.520 90.00 90.00 90.00 P 41 2 2 8 SCALE1 0.013637 -0.000000 -0.000000 0.00000 SCALE2 0.000000 0.013637 -0.000000 0.00000 SCALE3 0.000000 0.000000 0.006115 0.00000 ATOM 1 N ALA A 1 14.378 -30.428 -13.824 1.00 61.34 N ATOM 210 CB ALA A 42 2.780 -38.569 -12.366 1.00 77.20 C END """ stdout_contents = """****************************************************************************************** *** Phaser Module: PREPROCESSOR 2.8.3 *** ****************************************************************************************** COMPOSITION BY ASU COMPOSITION PROTEIN MW 34738.3 NUM 1 ELLG HIRES ON ENSEMBLE PDB_1 PDB & "/data1/filo/results/SWAMP_benchmarking/SWAMP_0/swamp_mr/search_461/run_1/searchmodels/searchmodel_1_polyala.pdb" RMS & 0.1 ENSEMBLE PDB_1 DISABLE CHECK ON HKLIN "/data1/filo/results/SWAMP_benchmarking/3zux.mtz" JOBS 1 KEYWORDS ON LABIN F = FP SIGF = SIGFP MUTE ON ROOT "3zux_phaser" SEARCH ENSEMBLE PDB_1 SGALT BASE P 4w 2c SGALT SELECT LIST SGALT TEST P 41 2 2 XYZOUT ON KILL TIME 1440 CPU Time: 0 days 0 hrs 0 mins 0.76 secs ( 0.76 secs) Finished: Mon Feb 17 02:38:52 2020 -------------- MONOMERIC ELLG -------------- Expected LLG (eLLG) ------------------- eLLG: eLLG of ensemble alone eLLG RMSD frac-scat Ensemble 5.29275 1.077 0.08194 PDB_1 Resolution for eLLG target -------------------------- eLLG-reso: Resolution to achieve target eLLG (225) eLLG-reso Ensemble > 2.20(all) PDB_1 Resolution for eLLG target: data collection ------------------------------------------- eLLG-reso: Resolution to achieve target eLLG (225) with perfect data eLLG-reso Ensemble >1.2A PDB_1 ** Solution #1 written to MTZ file: 3zux_phaser.1.mtz Solution #1 annotation (history): SOLU SET RFZ=3.0 TFZ=5.6 PAK=0 LLG=70 TFZ==6.0 LLG=70 TFZ==5.9 PAK=0 LLG=70 TFZ==5.9 SOLU SPAC P 41 2 2 SOLU 6DIM ENSE PDB_1 EULER 49.9 83.5 180.1 FRAC -0.29 -0.53 -0.16 BFAC -1.68 #TFZ==5.9 SOLU ENSEMBLE PDB_1 VRMS DELTA -0.3997 #RMSD 1.08 1.08 0.95 0.79 #VRMS 0.87 0.87 0.71 0.48 Annotation shown below for a maximum of a further 9 solutions See SOL file for any additional solutions Solution #2 annotation (history): SOLU SET RFZ=2.8 TFZ=5.3 PAK=0 LLG=67 LLG=67 PAK=0 LLG=67 SOLU SPAC P 41 2 2 SOLU 6DIM ENSE PDB_1 EULER 241.6 60.7 143.4 FRAC -0.06 -0.40 -0.31 BFAC -1.80 SOLU ENSEMBLE PDB_1 VRMS DELTA -0.3997 #RMSD 1.08 1.08 0.95 0.79 #VRMS 0.87 0.87 0.71 0.48 Solution #3 annotation (history): SOLU SET RFZ=3.0 TFZ=5.5 PAK=0 LLG=64 LLG=65 PAK=0 LLG=65 SOLU SPAC P 41 2 2 SOLU 6DIM ENSE PDB_1 EULER 49.6 79.0 184.1 FRAC -0.19 0.01 -0.16 BFAC 0.11 SOLU ENSEMBLE PDB_1 VRMS DELTA -0.3997 #RMSD 1.08 1.08 0.95 0.79 #VRMS 0.87 0.87 0.71 0.48 Solution #4 annotation (history): SOLU SET RFZ=2.8 TFZ=5.7 PAK=0 LLG=63 LLG=63 PAK=0 LLG=63 SOLU SPAC P 41 2 2 SOLU 6DIM ENSE PDB_1 EULER 64.6 62.5 142.9 FRAC 0.05 0.38 -0.24 BFAC 0.22 SOLU ENSEMBLE PDB_1 VRMS DELTA -0.3997 #RMSD 1.08 1.08 0.95 0.79 #VRMS 0.87 0.87 0.71 0.48 Solution #5 annotation (history): SOLU SET RFZ=3.0 TFZ=4.6 PAK=0 LLG=62 LLG=63 PAK=0 LLG=63 SOLU SPAC P 41 2 2 SOLU 6DIM ENSE PDB_1 EULER 49.9 87.8 177.8 FRAC -0.18 0.07 -0.14 BFAC 1.12 SOLU ENSEMBLE PDB_1 VRMS DELTA -0.3997 #RMSD 1.08 1.08 0.95 0.79 #VRMS 0.87 0.87 0.71 0.48 Solution #6 annotation (history): SOLU SET RFZ=3.0 TFZ=4.9 PAK=8 LLG=63 LLG=63 PAK=8 LLG=63 SOLU SPAC P 41 2 2 SOLU 6DIM ENSE PDB_1 EULER 316.7 83.0 181.1 FRAC -0.06 0.07 -0.13 BFAC -0.01 SOLU ENSEMBLE PDB_1 VRMS DELTA -0.3997 #RMSD 1.08 1.08 0.95 0.79 #VRMS 0.87 0.87 0.71 0.48 """ fname = create_tempfile(content=file_contents) self.addCleanup(os.remove, fname) parser = PhaserParser(stdout=stdout_contents, fname=fname) parser.parse() self.assertEqual('70.197', parser.LLG) self.assertEqual('5.29275', parser.eLLG) self.assertEqual('5.9', parser.TFZ) self.assertEqual('3.5', parser.RFZ) self.assertEqual('-0.3997', parser.VRMS) self.assertTupleEqual(('70.197', '5.9', '3.5', '5.29275', '-0.3997'), parser.summary) def test_3(self): file_contents = """REMARK TITLE [no title set] REMARK PAK=0 RFZ=4.2 TFZ=5.0 PAK=0 LLG=142 RFZ=3.8 TFZ=7.4 PAK=39 LLG=211 TFZ==9.4 RFZ=4.0 TFZ=8.5 PAK=39 RFZ=3.1 TFZ=7.4 PAK=39 LLG=318 TFZ==10.2 REMARK ENSEMBLE FIX EULER 0.00 0.00 0.00 FRAC -0.000 -0.000 0.000 REMARK ENSEMBLE PDB_idealhelix EULER 16.22 122.55 39.80 FRAC -0.159 0.068 -0.027 REMARK ENSEMBLE PDB_idealhelix EULER 14.97 62.84 219.41 FRAC -0.247 0.202 -0.328 REMARK ENSEMBLE PDB_idealhelix EULER 139.16 107.74 52.50 FRAC 0.095 -0.076 -0.109 REMARK ENSEMBLE PDB_idealhelix EULER 72.15 80.04 213.17 FRAC -0.040 -0.258 -0.353 CRYST1 49.754 72.560 95.775 90.00 90.00 90.00 P 21 21 21 16 SCALE1 0.020099 -0.000000 -0.000000 0.00000 SCALE2 0.000000 0.013782 -0.000000 0.00000 SCALE3 0.000000 0.000000 0.010441 0.00000 ATOM 1 N ALA A 1 -3.826 13.790 -31.009 1.00 32.20 N """ stdout_contents = """"****************************************************************************************** *** Phaser Module: PREPROCESSOR 2.8.3 *** ****************************************************************************************** COMPOSITION BY ASU COMPOSITION PROTEIN MW 34738.3 NUM 1 ELLG HIRES ON ENSEMBLE PDB_1 PDB & "/data1/filo/results/SWAMP_benchmarking/SWAMP_0/swamp_mr/search_461/run_1/searchmodels/searchmodel_1_polyala.pdb" RMS & 0.1 ENSEMBLE PDB_1 DISABLE CHECK ON HKLIN "/data1/filo/results/SWAMP_benchmarking/3zux.mtz" JOBS 1 KEYWORDS ON LABIN F = FP SIGF = SIGFP MUTE ON ROOT "3zux_phaser" SEARCH ENSEMBLE PDB_1 SGALT BASE P 4w 2c SGALT SELECT LIST SGALT TEST P 41 2 2 XYZOUT ON KILL TIME 1440 CPU Time: 0 days 0 hrs 0 mins 0.76 secs ( 0.76 secs) Finished: Mon Feb 17 02:38:52 2020 -------------- MONOMERIC ELLG -------------- Expected LLG (eLLG) ------------------- eLLG: eLLG of ensemble alone eLLG RMSD frac-scat Ensemble 12.0 0.305 0.04195 PDB_idealhelix Resolution for eLLG target -------------------------- eLLG-reso: Resolution to achieve target eLLG (225) eLLG-reso Ensemble > 2.10(all) PDB_idealhelix Resolution for eLLG target: data collection ------------------------------------------- eLLG-reso: Resolution to achieve target eLLG (225) with perfect data eLLG-reso Ensemble >1.2A PDB_idealhelix ------------ OUTPUT FILES ------------ No files output CPU Time: 0 days 3 hrs 10 mins 25.44 secs ( 11425.44 secs) Finished: Thu Mar 12 04:02:50 2020 ****************************************************************************************** *** Phaser Module: AUTOMATED MOLECULAR REPLACEMENT 2.8.3 *** ****************************************************************************************** ** No solutions after final packing ** Solution reverts to previous partial solution ** Only packing solutions retained ** 34 solution(s) retained of 34 ** Number of solutions = 34 ** Solution TOP LLG = 317.6 ** Solution TOP TFZ = 10.2 CPU Time: 0 days 3 hrs 10 mins 25.44 secs ( 11425.44 secs) Finished: Thu Mar 12 04:02:50 2020 ****************************************************************************************** *** Phaser Module: AUTOMATED MOLECULAR REPLACEMENT 2.8.3 *** ****************************************************************************************** ** Sorry - No solution with all components You may find a solution with a different search or selection strategy ** Solutions written to SOL file: 5hxc_phaser.sol ** Pdb and/or Mtz files have been written with results for 1 of these solutions ** Partial Solution #1 written to PDB file: 5hxc_phaser.1.pdb ** Partial Solution #1 written to PDB (ensemble) file: 5hxc_phaser.1.1.pdb ** Partial Solution #1 written to PDB (ensemble) file: 5hxc_phaser.1.2.pdb ** Partial Solution #1 written to PDB (ensemble) file: 5hxc_phaser.1.3.pdb ** Partial Solution #1 written to PDB (ensemble) file: 5hxc_phaser.1.4.pdb ** Partial Solution #1 written to PDB (ensemble) file: 5hxc_phaser.1.5.pdb Partial Solution #1 annotation (history): SOLU SET PAK=0 RFZ=4.2 TFZ=5.0 PAK=0 LLG=142 RFZ=3.8 TFZ=7.4 PAK=39 LLG=211 TFZ==9.4 RFZ=4.0 TFZ=8.5 PAK=39 RFZ=3.1 TFZ=7.4 PAK=39 LLG=318 TFZ==10.2 SOLU SPAC P 21 21 21 SOLU 6DIM ENSE FIX EULER 0.0 0.0 0.0 FRAC -0.00 -0.00 0.00 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 16.2 122.6 39.8 FRAC -0.16 0.07 -0.03 BFAC 6.98 SOLU 6DIM ENSE PDB_idealhelix EULER 15.0 62.8 219.4 FRAC -0.25 0.20 -0.33 BFAC 5.62 #TFZ==9.4 SOLU 6DIM ENSE PDB_idealhelix EULER 139.2 107.7 52.5 FRAC 0.10 -0.08 -0.11 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 72.2 80.0 213.2 FRAC -0.04 -0.26 -0.35 BFAC 7.09 #TFZ==10.2 SOLU ENSEMBLE FIX VRMS DELTA +0.0010 #RMSD 0.10 #VRMS 0.11 Annotation shown below for a maximum of a further 9 solutions See SOL file for any additional solutions Partial Solution #2 annotation (history): SOLU SET PAK=0 RFZ=4.2 TFZ=5.0 PAK=0 LLG=142 RFZ=3.8 TFZ=7.4 PAK=39 LLG=211 TFZ==9.4 RFZ=4.0 TFZ=8.5 PAK=39 RFZ=3.2 TFZ=8.2 PAK=39 LLG=314 TFZ==8.9 SOLU SPAC P 21 21 21 SOLU 6DIM ENSE FIX EULER 0.0 0.0 0.0 FRAC -0.00 -0.00 0.00 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 16.2 122.6 39.8 FRAC -0.16 0.07 -0.03 BFAC 6.98 SOLU 6DIM ENSE PDB_idealhelix EULER 15.0 62.8 219.4 FRAC -0.25 0.20 -0.33 BFAC 5.62 #TFZ==9.4 SOLU 6DIM ENSE PDB_idealhelix EULER 139.2 107.7 52.5 FRAC 0.10 -0.08 -0.11 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 277.0 43.6 223.4 FRAC -0.04 -0.20 -0.34 BFAC 8.82 #TFZ==8.9 SOLU ENSEMBLE FIX VRMS DELTA +0.0010 #RMSD 0.10 #VRMS 0.11 Partial Solution #3 annotation (history): SOLU SET PAK=0 RFZ=4.2 TFZ=5.0 PAK=0 LLG=142 RFZ=3.8 TFZ=7.4 PAK=39 LLG=211 TFZ==9.4 RFZ=4.0 TFZ=8.5 PAK=39 RFZ=3.0 TFZ=6.8 PAK=39 LLG=314 TFZ==8.9 SOLU SPAC P 21 21 21 SOLU 6DIM ENSE FIX EULER 0.0 0.0 0.0 FRAC -0.00 -0.00 0.00 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 16.2 122.6 39.8 FRAC -0.16 0.07 -0.03 BFAC 6.98 SOLU 6DIM ENSE PDB_idealhelix EULER 15.0 62.8 219.4 FRAC -0.25 0.20 -0.33 BFAC 5.62 #TFZ==9.4 SOLU 6DIM ENSE PDB_idealhelix EULER 139.2 107.7 52.5 FRAC 0.10 -0.08 -0.11 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 340.6 51.2 202.6 FRAC -0.06 -0.24 -0.38 BFAC 8.91 #TFZ==8.9 SOLU ENSEMBLE FIX VRMS DELTA +0.0010 #RMSD 0.10 #VRMS 0.11 Partial Solution #4 annotation (history): SOLU SET PAK=0 RFZ=4.3 TFZ=5.4 PAK=38 LLG=156 RFZ=3.4 TFZ=7.1 PAK=38 LLG=208 TFZ==7.3 RFZ=4.0 TFZ=8.5 PAK=38 RFZ=3.1 TFZ=7.3 PAK=38 LLG=313 TFZ==9.9 SOLU SPAC P 21 21 21 SOLU 6DIM ENSE FIX EULER 0.0 0.0 0.0 FRAC -0.00 -0.00 0.00 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 16.3 62.2 219.9 FRAC -0.24 0.20 -0.33 BFAC 6.17 SOLU 6DIM ENSE PDB_idealhelix EULER 275.9 114.0 38.4 FRAC -0.14 0.10 -0.05 BFAC 6.88 #TFZ==7.3 SOLU 6DIM ENSE PDB_idealhelix EULER 139.2 107.7 52.5 FRAC 0.09 -0.08 -0.11 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 72.3 80.2 213.1 FRAC -0.04 -0.26 -0.35 BFAC 7.51 #TFZ==9.9 SOLU ENSEMBLE FIX VRMS DELTA +0.0010 #RMSD 0.10 #VRMS 0.11 Partial Solution #5 annotation (history): SOLU SET PAK=0 RFZ=4.2 TFZ=5.0 PAK=0 LLG=142 RFZ=3.8 TFZ=7.4 PAK=39 LLG=211 TFZ==9.4 RFZ=4.0 TFZ=8.5 PAK=39 RFZ=3.2 TFZ=6.8 PAK=39 LLG=311 TFZ==9.1 SOLU SPAC P 21 21 21 SOLU 6DIM ENSE FIX EULER 0.0 0.0 0.0 FRAC -0.00 -0.00 0.00 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 16.2 122.6 39.8 FRAC -0.16 0.07 -0.03 BFAC 6.98 SOLU 6DIM ENSE PDB_idealhelix EULER 15.0 62.8 219.4 FRAC -0.25 0.20 -0.33 BFAC 5.62 #TFZ==9.4 SOLU 6DIM ENSE PDB_idealhelix EULER 139.2 107.7 52.5 FRAC 0.10 -0.08 -0.11 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 146.3 109.4 22.0 FRAC 0.06 0.22 -0.08 BFAC 10.29 #TFZ==9.1 SOLU ENSEMBLE FIX VRMS DELTA +0.0010 #RMSD 0.10 #VRMS 0.11 Partial Solution #6 annotation (history): SOLU SET PAK=0 RFZ=4.2 TFZ=5.0 PAK=0 LLG=142 RFZ=3.8 TFZ=7.4 PAK=39 LLG=211 TFZ==9.4 RFZ=4.0 TFZ=8.5 PAK=39 RFZ=2.9 TFZ=7.8 PAK=39 LLG=310 TFZ==8.6 SOLU SPAC P 21 21 21 SOLU 6DIM ENSE FIX EULER 0.0 0.0 0.0 FRAC -0.00 -0.00 0.00 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 16.2 122.6 39.8 FRAC -0.16 0.07 -0.03 BFAC 6.98 SOLU 6DIM ENSE PDB_idealhelix EULER 15.0 62.8 219.4 FRAC -0.25 0.20 -0.33 BFAC 5.62 #TFZ==9.4 SOLU 6DIM ENSE PDB_idealhelix EULER 139.2 107.7 52.5 FRAC 0.10 -0.08 -0.11 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 58.1 99.6 52.4 FRAC 0.01 0.22 -0.10 BFAC 9.77 #TFZ==8.6 SOLU ENSEMBLE FIX VRMS DELTA +0.0010 #RMSD 0.10 #VRMS 0.11 Partial Solution #7 annotation (history): SOLU SET PAK=0 RFZ=4.3 TFZ=5.4 PAK=38 LLG=156 RFZ=3.4 TFZ=7.1 PAK=38 LLG=208 TFZ==7.3 RFZ=4.0 TFZ=8.5 PAK=38 RFZ=3.0 TFZ=6.4 PAK=38 LLG=309 TFZ==8.6 SOLU SPAC P 21 21 21 SOLU 6DIM ENSE FIX EULER 0.0 0.0 0.0 FRAC -0.00 -0.00 0.00 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 16.3 62.2 219.9 FRAC -0.24 0.20 -0.33 BFAC 6.17 SOLU 6DIM ENSE PDB_idealhelix EULER 275.9 114.0 38.4 FRAC -0.14 0.10 -0.05 BFAC 6.88 #TFZ==7.3 SOLU 6DIM ENSE PDB_idealhelix EULER 139.2 107.7 52.5 FRAC 0.09 -0.08 -0.11 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 340.5 51.2 202.5 FRAC -0.06 -0.24 -0.38 BFAC 9.53 #TFZ==8.6 SOLU ENSEMBLE FIX VRMS DELTA +0.0010 #RMSD 0.10 #VRMS 0.11 Partial Solution #8 annotation (history): SOLU SET PAK=0 RFZ=4.2 TFZ=5.0 PAK=0 LLG=142 RFZ=3.8 TFZ=7.4 PAK=39 LLG=211 TFZ==9.4 RFZ=4.0 TFZ=8.5 PAK=39 RFZ=3.1 TFZ=6.3 PAK=39 LLG=309 TFZ==8.6 SOLU SPAC P 21 21 21 SOLU 6DIM ENSE FIX EULER 0.0 0.0 0.0 FRAC -0.00 -0.00 0.00 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 16.2 122.6 39.8 FRAC -0.16 0.07 -0.03 BFAC 6.98 SOLU 6DIM ENSE PDB_idealhelix EULER 15.0 62.8 219.4 FRAC -0.25 0.20 -0.33 BFAC 5.62 #TFZ==9.4 SOLU 6DIM ENSE PDB_idealhelix EULER 139.2 107.7 52.5 FRAC 0.10 -0.08 -0.11 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 46.4 51.7 229.8 FRAC 0.17 0.14 -0.24 BFAC 13.49 #TFZ==8.6 SOLU ENSEMBLE FIX VRMS DELTA +0.0010 #RMSD 0.10 #VRMS 0.11 Partial Solution #9 annotation (history): SOLU SET PAK=0 RFZ=4.3 TFZ=5.4 PAK=38 LLG=156 RFZ=3.4 TFZ=7.1 PAK=38 LLG=208 TFZ==7.3 RFZ=4.0 TFZ=8.5 PAK=38 RFZ=3.2 TFZ=8.0 PAK=38 LLG=308 TFZ==8.5 SOLU SPAC P 21 21 21 SOLU 6DIM ENSE FIX EULER 0.0 0.0 0.0 FRAC -0.00 -0.00 0.00 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 16.3 62.2 219.9 FRAC -0.24 0.20 -0.33 BFAC 6.17 SOLU 6DIM ENSE PDB_idealhelix EULER 275.9 114.0 38.4 FRAC -0.14 0.10 -0.05 BFAC 6.88 #TFZ==7.3 SOLU 6DIM ENSE PDB_idealhelix EULER 139.2 107.7 52.5 FRAC 0.09 -0.08 -0.11 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 277.1 43.5 223.6 FRAC -0.04 -0.20 -0.34 BFAC 9.78 #TFZ==8.5 SOLU ENSEMBLE FIX VRMS DELTA +0.0010 #RMSD 0.10 #VRMS 0.11 Partial Solution #10 annotation (history): SOLU SET PAK=0 RFZ=4.2 TFZ=5.0 PAK=0 LLG=142 RFZ=3.8 TFZ=7.4 PAK=39 LLG=211 TFZ==9.4 RFZ=4.0 TFZ=8.5 PAK=39 RFZ=3.0 TFZ=6.7 PAK=39 LLG=307 TFZ==8.3 SOLU SPAC P 21 21 21 SOLU 6DIM ENSE FIX EULER 0.0 0.0 0.0 FRAC -0.00 -0.00 0.00 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 16.2 122.6 39.8 FRAC -0.16 0.07 -0.03 BFAC 6.98 SOLU 6DIM ENSE PDB_idealhelix EULER 15.0 62.8 219.4 FRAC -0.25 0.20 -0.33 BFAC 5.62 #TFZ==9.4 SOLU 6DIM ENSE PDB_idealhelix EULER 139.2 107.7 52.5 FRAC 0.10 -0.08 -0.11 BFAC 0.00 SOLU 6DIM ENSE PDB_idealhelix EULER 215.3 51.2 243.3 FRAC -0.00 -0.24 -0.39 BFAC 10.13 #TFZ==8.3 SOLU ENSEMBLE FIX VRMS DELTA +0.0010 #RMSD 0.10 #VRMS 0.11 CPU Time: 0 days 3 hrs 10 mins 25.60 secs ( 11425.60 secs) Finished: Thu Mar 12 04:02:50 2020 -------- ADVISORY -------- The correlation corrected RmsD of ensemble "PDB_idealhelix" is 0.305 but the largest RmsD assigned to models in the ensemble is only 0.100. Is this intentional? eLLG indicates that placement of a single copy of ensemble "PDB_idealhelix" will be very difficult eLLG indicates that best placement of ensemble "PDB_idealhelix" will definitely be correct in the context of already correctly placed components The top solution from a FTF did not pack The top solution from a TF rescoring did not pack -------- WARNINGS -------- ------------------------------------------------------------------------------------------ Warning: Patterson Pathology in NMOL analysis, possible coiled coil or other regular structure, view Patterson (TNCS PATT MAPS ON) ------------------------------------------------------------------------------------------ CPU Time: 0 days 3 hrs 10 mins 25.60 secs ( 11425.60 secs) Finished: Thu Mar 12 04:02:50 2020 """ fname = create_tempfile(content=file_contents) self.addCleanup(os.remove, fname) parser = PhaserParser(stdout=stdout_contents, fname=fname) parser.parse() self.assertEqual('318', parser.LLG) self.assertEqual('12.0', parser.eLLG) self.assertEqual('10.2', parser.TFZ) self.assertEqual('3.1', parser.RFZ) self.assertEqual('+0.0010', parser.VRMS) self.assertTupleEqual(('318', '10.2', '3.1', '12.0', '+0.0010'), parser.summary) if __name__ == '__main__': unittest.main()

46.127854

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0.775781

0.774715

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0.213374

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null

0

9

eba9cfc69f4b711893d0b6111843b3e60d0fb233

47

py

Python

pbs_util/test_email.py

Clyde-fare/pbs_util

1c1ed93773a9a020f9216056d2ae49cc0cd589d1

[ "BSD-3-Clause" ]

1

2015-08-24T02:48:00.000Z

pbs_util/test_email.py

Clyde-fare/pbs_util

1c1ed93773a9a020f9216056d2ae49cc0cd589d1

[ "BSD-3-Clause" ]

null

pbs_util/test_email.py

Clyde-fare/pbs_util

1c1ed93773a9a020f9216056d2ae49cc0cd589d1

[ "BSD-3-Clause" ]

null

import send_email send_email.send('testing')

9.4

26

0.787234

7

47

5

0.571429

0.514286

0.742857

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0.106383

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1,490

py

Python

venv/lib/python2.7/site-packages/pychart/afm/Helvetica_Light.py

Christian-Castro/castro_odoo8

8247fdb20aa39e043b6fa0c4d0af509462ab3e00

[ "Unlicense" ]

1

2019-12-19T01:53:13.000Z

venv/lib/python2.7/site-packages/pychart/afm/Helvetica_Light.py

Christian-Castro/castro_odoo8

8247fdb20aa39e043b6fa0c4d0af509462ab3e00

[ "Unlicense" ]

null

venv/lib/python2.7/site-packages/pychart/afm/Helvetica_Light.py

Christian-Castro/castro_odoo8

8247fdb20aa39e043b6fa0c4d0af509462ab3e00

[ "Unlicense" ]

null

# AFM font Helvetica-Light (path: /usr/share/fonts/afms/adobe/phvl8a.afm). # Derived from Ghostscript distribution. # Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code. import dir dir.afm["Helvetica-Light"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 333, 278, 556, 556, 889, 667, 222, 333, 333, 389, 660, 278, 333, 278, 278, 556, 556, 556, 556, 556, 556, 556, 556, 556, 556, 278, 278, 660, 660, 660, 500, 800, 667, 667, 722, 722, 611, 556, 778, 722, 278, 500, 667, 556, 833, 722, 778, 611, 778, 667, 611, 556, 722, 611, 889, 611, 611, 611, 333, 278, 333, 660, 500, 222, 556, 611, 556, 611, 556, 278, 611, 556, 222, 222, 500, 222, 833, 556, 556, 611, 611, 333, 500, 278, 556, 500, 722, 500, 500, 500, 333, 222, 333, 660, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 556, 556, 167, 556, 556, 556, 556, 222, 389, 556, 389, 389, 500, 500, 500, 500, 556, 556, 278, 500, 650, 500, 222, 389, 389, 556, 1000, 1000, 500, 500, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1000, 500, 334, 500, 500, 500, 500, 556, 778, 1000, 334, 500, 500, 500, 500, 500, 889, 500, 500, 500, 222, 500, 500, 222, 556, 944, 500, )

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10

692a297ddb5c02b2820fd4730b0e705829df9621

14,516

py

Python

common/sock_rsa_double.py

nigelliyang/ccwt_client

4efb8f2c790145b5f547e350d24413bb8b1bd9ed

[ "Apache-2.0" ]

null

common/sock_rsa_double.py

nigelliyang/ccwt_client

4efb8f2c790145b5f547e350d24413bb8b1bd9ed

[ "Apache-2.0" ]

null

common/sock_rsa_double.py

nigelliyang/ccwt_client

4efb8f2c790145b5f547e350d24413bb8b1bd9ed

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Date : 2018/12/6 0:17 By xycfree # @Descript: import json import re import struct import websocket # 设置交易所及交易对，70行处需要手动修改交易所及交易对，BITFINEX:BTCUSD exchange_symbol = "BITFINEX:BTCUSD" def write_msg(message): data = struct.pack('B', 129) # 写入第一个字节 10000001 # 写入包长度 msg_len = len(message) if msg_len <= 125: data += struct.pack('B', msg_len) elif msg_len <= (2 ** 16 - 1): data += struct.pack('!BH', 126, msg_len) elif msg_len <= (2 ** 64 - 1): data += struct.pack('!BQ', 127, msg_len) else: print('to long message') return data += bytes(message, encoding='utf-8') print(data) return data def on_message(ws, message): # 服务器有数据更新时，主动推送过来的数据 message = message.decode('utf-8') if isinstance(message, bytes) else message print("接收数据: {}".format(message)) if len(message) < 20: pass else: mess = re.sub(r'~m~\d+~m~', '', message) try: mess = json.loads(mess) except Exception as e: print(e) print(mess) with open('rsa_double.txt', mode='a+', encoding='utf-8') as f: f.write(mess) f.write('\n') def on_error(ws, error): # 程序报错时，就会触发on_error事件 print("异常错误: {}".format(error)) def on_close(ws): print("Connection closed ……") def on_open(ws): # 连接到服务器之后就会触发on_open事件，这里用于send数据 print('on_open') reqs = [ json.dumps({"m":"chart_create_session","p":["cs_yD7aPrM9Eav2",""]}), json.dumps({"m":"quote_create_session","p":["qs_CiWdgz2rquIv"]}), json.dumps({"m":"quote_set_fields","p":["qs_CiWdgz2rquIv","ch","chp","current_session","description","local_description","language","exchange","fractional","is_tradable","lp","minmov","minmove2","original_name","pricescale","pro_name","short_name","type","update_mode","volume"]}), json.dumps({"m":"quote_add_symbols","p":["qs_CiWdgz2rquIv",exchange_symbol,{"flags":["force_permission"]}]}), json.dumps({"m":"quote_fast_symbols","p":["qs_CiWdgz2rquIv",exchange_symbol]}), json.dumps({"m":"switch_timezone","p":["cs_yD7aPrM9Eav2","Asia/Shanghai"]}), # 以下一行的交易对 BITFINEX:BTCUSD，需要修改； '{"m":"resolve_symbol","p":["cs_yD7aPrM9Eav2","symbol_1","={\\"symbol\\":\\"BITFINEX:BTCUSD\\",\\"adjustment\\":\\"splits\\"}"]}', json.dumps({"m":"create_series","p":["cs_yD7aPrM9Eav2","s1","s1","symbol_1","45",300]}), json.dumps({"m":"create_study","p":["cs_yD7aPrM9Eav2","st1","st1","s1","Volume@tv-basicstudies-81",{"length":20,"col_prev_close":False}]}), json.dumps({"m":"create_study","p":["cs_yD7aPrM9Eav2","st2","st1","s1","StrategyScript@tv-scripting-101!",{"text":"2sMXFZEjEcAEL0TdZuTIQA==_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","pineId":"PUB;2187","pineVersion":"-1","in_0":{"v":6,"f":True,"t":"integer"},"in_1":{"v":200,"f":True,"t":"integer"},"in_2":{"v":True,"f":True,"t":"bool"},"in_3":{"v":True,"f":True,"t":"bool"},"in_4":{"v":1,"f":True,"t":"integer"},"in_5":{"v":False,"f":True,"t":"bool"},"in_6":{"v":False,"f":True,"t":"bool"},"in_7":{"v":0,"f":True,"t":"integer"},"in_8":{"v":"fixed","f":True,"t":"text"},"in_9":{"v":1,"f":True,"t":"float"},"in_10":{"v":100000,"f":True,"t":"float"},"in_11":{"v":"NONE","f":True,"t":"text"},"in_12":{"v":0,"f":True,"t":"integer"},"in_13":{"v":"percent","f":True,"t":"text"},"in_14":{"v":0,"f":True,"t":"float"}}]}), json.dumps({"m":"create_study","p":["cs_yD7aPrM9Eav2","st3","st1","s1","RSI@tv-basicstudies-81",{"length":14,"source":"close"}]}), # '{"m":"quote_create_session","p":["qs_cYic7cSheeMW"]}', # '{"m":"quote_add_symbols","p":["qs_cYic7cSheeMW","BITFINEX:BTCUSD",{"flags":["force_permission"]}]}', # '{"m":"create_study","p":["cs_yD7aPrM9Eav2","st4","st1","s1","ESD@tv-scripting-101!",{"text":"WGl55Gc/tbDhxqE0Sd3ToA==_YMmxzJDP/iyAhzIO4g0ZJKV6ytpyksGXDXR08MYNKe8xzjywJ+tCoD4k0gmsAqFZlb/B/DJ3ky1VfawnRN/8ZTPt+j0G7XoEPBAXVDpMtOyn2NdaIqgbIpholgHJ1xItlSv4nZHTzLqC40eWypnCbn+LpNydbAFHpYICB96gIAnMsFmuRD3VGQAUTnygHsaT9rN78lA3i+PR86C1ditNUWFhROycV6VFGdBCTENuR2wLQGQvzC9634qEFDoMvcqGyqCUvU00O+CnBD2tT9a55CQq1pw=","pineId":"TV_DIVIDENDS","pineVersion":"2.0"}]}', # '{"m":"create_study","p":["cs_yD7aPrM9Eav2","st5","st1","s1","ESD@tv-scripting-101!",{"text":"sfKNX/tKLjp7L7FtVgmYXg==_z+3RKkf/RqO+wVT0vRe9xjdf+jQNDEzfVUnKgAJ8UIQVc8CtKEeU3OYuwetrsoJGUQbQO6hKOm2aL2r3D2XmjaKB9UoLV7DR/3ly5ab8iU+cTEBFh+7DAgcr7mOnQ99tTXt31jQA/AZ27rof8Kq0Hi6MRcGfyvAQiba9bDnKSKiXnCj4HpV/MaLaG/6vieOqFg6a429ZzD3p9hIX2oEIXpIJjHpWwe8csyz0K9AUjiC5y/bu2E0Rek7UVwBVDS7pMOJXEJcJNOPlFdRDiGcvUKgJJERtCxq1gNu+hkHYIVthDa7FUIxoepryRSRlwvKqMumeGvOWUlMewHHJWKWBLRwim9jyVRRrwQ5vYNF6k9lwZ0rAaKNIqpnLgZP4lkOLzafcnjvGOp9/rk1XTaQkVZwbBNvakKegKQ==","pineId":"TV_EARNINGS","pineVersion":"2.0"}]}', # '{"m":"create_study","p":["cs_yD7aPrM9Eav2","st6","st1","s1","ESD@tv-scripting-101!",{"text":"trOzbbylgCYupam1bHdZXA==_EaZ3Cmxj0Rcu994IpoTzq1hz0of0vj3v9QrqeWWETpqXANkwIRiBufkSTlvEGZe2lUTfotOkiMkpGiDFtPmKgbKyhmNn1bsPm5KMCgWf+WVhyM06LKhpm84grDwUBMOrauaxZ9kBy7TIRibaf/S3ov2god437NRrOGMaFl1wBPApJK7LrJi1Uh3P71rShB+o1W0TIZ2/Tp+2sVg6Kt3Ker/OnlZKMbbIMA2hz4AbTgiRue6RhsuLzF9j1SgILzi1vC1AXIIWleVmzMIQeap+s3pJQvnW8dB3J3fE0VkCH6+y+S5z37wk4AaNH/Ki7UqWeAitpEedZ9HX5QTpC+6fa/s=","pineId":"TV_SPLITS","pineVersion":"2.0"}]}', # '{"m":"request_more_tickmarks","p":["cs_yD7aPrM9Eav2","s1",10]}', # '{"m":"request_more_data","p":["cs_yD7aPrM9Eav2","s1",162]}', # '{"m":"quote_fast_symbols","p":["qs_cYic7cSheeMW","BITFINEX:BTCUSD"]}', # '{"m":"switch_protocol","p":["protobuf"]}', ] # reqs = [ # '{"m":"chart_create_session","p":["cs_yD7aPrM9Eav2",""]}', # '{"m":"quote_create_session","p":["qs_CiWdgz2rquIv"]}', # '{"m":"quote_set_fields","p":["qs_CiWdgz2rquIv","ch","chp","current_session","description","local_description","language","exchange","fractional","is_tradable","lp","minmov","minmove2","original_name","pricescale","pro_name","short_name","type","update_mode","volume"]}', # '{"m":"quote_add_symbols","p":["qs_CiWdgz2rquIv","BITFINEX:BTCUSD",{"flags":["force_permission"]}]}', # '{"m":"quote_fast_symbols","p":["qs_CiWdgz2rquIv","BITFINEX:BTCUSD"]}', # '{"m":"switch_timezone","p":["cs_yD7aPrM9Eav2","Asia/Shanghai"]}', # '{"m":"resolve_symbol","p":["cs_yD7aPrM9Eav2","symbol_1","={\\"symbol\\":\\"BITFINEX:BTCUSD\\",\\"adjustment\\":\\"splits\\"}"]}', # '{"m":"create_series","p":["cs_yD7aPrM9Eav2","s1","s1","symbol_1","45",300]}', # '{"m":"create_study","p":["cs_yD7aPrM9Eav2","st1","st1","s1","Volume@tv-basicstudies-81",{"length":20,"col_prev_close":False}]}', # '{"m":"create_study","p":["cs_yD7aPrM9Eav2","st2","st1","s1","StrategyScript@tv-scripting-101!",{"text":"2sMXFZEjEcAEL0TdZuTIQA==_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","pineId":"PUB;2187","pineVersion":"-1","in_0":{"v":6,"f":True,"t":"integer"},"in_1":{"v":200,"f":True,"t":"integer"},"in_2":{"v":True,"f":True,"t":"bool"},"in_3":{"v":True,"f":True,"t":"bool"},"in_4":{"v":1,"f":True,"t":"integer"},"in_5":{"v":False,"f":True,"t":"bool"},"in_6":{"v":False,"f":True,"t":"bool"},"in_7":{"v":0,"f":True,"t":"integer"},"in_8":{"v":"fixed","f":True,"t":"text"},"in_9":{"v":1,"f":True,"t":"float"},"in_10":{"v":100000,"f":True,"t":"float"},"in_11":{"v":"NONE","f":True,"t":"text"},"in_12":{"v":0,"f":True,"t":"integer"},"in_13":{"v":"percent","f":True,"t":"text"},"in_14":{"v":0,"f":True,"t":"float"}}]}', # '{"m":"create_study","p":["cs_yD7aPrM9Eav2","st3","st1","s1","RSI@tv-basicstudies-81",{"length":14,"source":"close"}]}', # # # '{"m":"quote_create_session","p":["qs_cYic7cSheeMW"]}', # # '{"m":"quote_add_symbols","p":["qs_cYic7cSheeMW","BITFINEX:BTCUSD",{"flags":["force_permission"]}]}', # # '{"m":"create_study","p":["cs_yD7aPrM9Eav2","st4","st1","s1","ESD@tv-scripting-101!",{"text":"WGl55Gc/tbDhxqE0Sd3ToA==_YMmxzJDP/iyAhzIO4g0ZJKV6ytpyksGXDXR08MYNKe8xzjywJ+tCoD4k0gmsAqFZlb/B/DJ3ky1VfawnRN/8ZTPt+j0G7XoEPBAXVDpMtOyn2NdaIqgbIpholgHJ1xItlSv4nZHTzLqC40eWypnCbn+LpNydbAFHpYICB96gIAnMsFmuRD3VGQAUTnygHsaT9rN78lA3i+PR86C1ditNUWFhROycV6VFGdBCTENuR2wLQGQvzC9634qEFDoMvcqGyqCUvU00O+CnBD2tT9a55CQq1pw=","pineId":"TV_DIVIDENDS","pineVersion":"2.0"}]}', # # '{"m":"create_study","p":["cs_yD7aPrM9Eav2","st5","st1","s1","ESD@tv-scripting-101!",{"text":"sfKNX/tKLjp7L7FtVgmYXg==_z+3RKkf/RqO+wVT0vRe9xjdf+jQNDEzfVUnKgAJ8UIQVc8CtKEeU3OYuwetrsoJGUQbQO6hKOm2aL2r3D2XmjaKB9UoLV7DR/3ly5ab8iU+cTEBFh+7DAgcr7mOnQ99tTXt31jQA/AZ27rof8Kq0Hi6MRcGfyvAQiba9bDnKSKiXnCj4HpV/MaLaG/6vieOqFg6a429ZzD3p9hIX2oEIXpIJjHpWwe8csyz0K9AUjiC5y/bu2E0Rek7UVwBVDS7pMOJXEJcJNOPlFdRDiGcvUKgJJERtCxq1gNu+hkHYIVthDa7FUIxoepryRSRlwvKqMumeGvOWUlMewHHJWKWBLRwim9jyVRRrwQ5vYNF6k9lwZ0rAaKNIqpnLgZP4lkOLzafcnjvGOp9/rk1XTaQkVZwbBNvakKegKQ==","pineId":"TV_EARNINGS","pineVersion":"2.0"}]}', # # '{"m":"create_study","p":["cs_yD7aPrM9Eav2","st6","st1","s1","ESD@tv-scripting-101!",{"text":"trOzbbylgCYupam1bHdZXA==_EaZ3Cmxj0Rcu994IpoTzq1hz0of0vj3v9QrqeWWETpqXANkwIRiBufkSTlvEGZe2lUTfotOkiMkpGiDFtPmKgbKyhmNn1bsPm5KMCgWf+WVhyM06LKhpm84grDwUBMOrauaxZ9kBy7TIRibaf/S3ov2god437NRrOGMaFl1wBPApJK7LrJi1Uh3P71rShB+o1W0TIZ2/Tp+2sVg6Kt3Ker/OnlZKMbbIMA2hz4AbTgiRue6RhsuLzF9j1SgILzi1vC1AXIIWleVmzMIQeap+s3pJQvnW8dB3J3fE0VkCH6+y+S5z37wk4AaNH/Ki7UqWeAitpEedZ9HX5QTpC+6fa/s=","pineId":"TV_SPLITS","pineVersion":"2.0"}]}', # # '{"m":"request_more_tickmarks","p":["cs_yD7aPrM9Eav2","s1",10]}', # # '{"m":"request_more_data","p":["cs_yD7aPrM9Eav2","s1",162]}', # # '{"m":"quote_fast_symbols","p":["qs_cYic7cSheeMW","BITFINEX:BTCUSD"]}', # # '{"m":"switch_protocol","p":["protobuf"]}', # ] for req in reqs: # _req = json.dumps(req, ensure_ascii=False) _req = req # send_req = req _req_len = len(_req) send_req = '~m~' + str(_req_len) + '~m~' + _req # print('发送: {}'.format(send_req)) ws.send(send_req) if __name__ == "__main__": sock_adress = "wss://data.tradingview.com/socket.io/websocket?from=chart%2FrP0mQCuj%2F&date=2018_12_20-19_52" cookie = "__utmc=226258911; __utmz=226258911.1545358476.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); km_lv=x; sessionid=8togr3m4llxfq1megba6bfduhzo9ky2q; png=cef7e9b2-2ce7-4382-b898-51f6c723782d; etg=cef7e9b2-2ce7-4382-b898-51f6c723782d; cachec=cef7e9b2-2ce7-4382-b898-51f6c723782d; tv_ecuid=cef7e9b2-2ce7-4382-b898-51f6c723782d; km_ni=bingpoli%40gmail.com; km_ai=bingpoli%40gmail.com; __utma=226258911.196369246.1545358476.1545360446.1545373147.3; _sp_id.cf1a=a25b6ccb-1c8e-4770-9efc-c4f2e23548cb.1545358476.3.1545375560.1545360776.1a8655b8-295a-4f4b-8e9a-062d84370d48; kvcd=1545375560495" socket_key = "IKCDm3xUHYihgLkjnobp5A==" headers = ["Accept-Encoding:gzip, deflate, br", "Accept-Language:zh-CN,zh;q=0.9", "Cache-Control:no-cache", "Connection:Upgrade", "Cookie:{}".format(cookie), "Host:data.tradingview.com", "Origin:https://cn.tradingview.com", "Pragma:no-cache", "Sec-WebSocket-Extensions:permessage-deflate; client_max_window_bits", "Sec-WebSocket-Key:{}".format(socket_key), "Sec-WebSocket-Version:13", "Upgrade:websocket", "User-Agent:Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36", ] # websocket.enableTrace(True) websocket.enableTrace(False) ws = websocket.WebSocketApp(sock_adress, header=headers, on_message=on_message, on_error=on_error, on_close=on_close) ws.on_open = on_open ws.run_forever(ping_timeout=30)

94.25974

2,133

0.718035

1,426

14,516

7.145161

0.287518

0.014722

0.017666

0.015311

0.792914

0.780351

0.769555

0.743841

0.732947

0

0.106556

0.091003

14,516

153

2,134

94.875817

0.665176

0.523422

0

0.02381

0

0.059524

0.538036

0.355581

0

1

0

1

0.059524

false

0.02381

0.047619

0

0.130952

0.095238

0

null

0

1

0

1

0

null

1

0

7

15c7f04c4d22c73a5d16ff18715cb6c95c5d8148

13,287

py

Python

selected_cols.py

launis/areadata

8cf0e30ec489ce9655fcd9829284d1ec70e7360d

[ "BSD-3-Clause" ]

null

selected_cols.py

launis/areadata

8cf0e30ec489ce9655fcd9829284d1ec70e7360d

[ "BSD-3-Clause" ]

null

selected_cols.py

launis/areadata

8cf0e30ec489ce9655fcd9829284d1ec70e7360d

[ "BSD-3-Clause" ]

null

def selected_cols(largeset = False, parties=True, pnroalue = True): if largeset==True: numeric_features = ['Miehet, 2018 (HE) osuudesta asukkaat', 'Naiset, 2018 (HE) osuudesta asukkaat', 'Asuntojen keskipinta-ala, 2018 (RA) osuus total', 'Talotyypit yhteensä 2019 Neliöhinta (EUR/m2) osuus total', 'Asumisväljyys, 2018 (TE) osuus total', 'Asukkaiden keski-ikä, 2018 (HE) osuus total', 'Postinumeroalueen pinta-ala osuus area_code', 'Perusasteen suorittaneet, 2018 (KO) osuudesta asukkaat', 'Ammatillisen tutkinnon suorittaneet, 2018 (KO) osuudesta asukkaat', 'Ylioppilastutkinnon suorittaneet, 2018 (KO) osuudesta asukkaat', 'Alemman korkeakoulututkinnon suorittaneet, 2018 (KO) osuudesta asukkaat', 'Ylemmän korkeakoulututkinnon suorittaneet, 2018 (KO) osuudesta asukkaat', 'Asukkaiden mediaanitulot, 2017 (HR) osuudesta asukkaat', 'Asukkaiden ostovoimakertymä, 2017 (HR) osuudesta asukkaat osuus total', 'Kesämökit yhteensä, 2018 (RA) osuudesta asukkaat', 'Pientaloasunnot, 2018 (RA) osuudesta asukkaat', 'Työlliset, 2017 (PT) osuudesta asukkaat', 'Työttömät, 2017 (PT) osuudesta asukkaat', 'Opiskelijat, 2017 (PT) osuudesta asukkaat', 'A Maatalous, metsätalous ja kalatalous, 2017 (TP) osuudesta asukkaat', 'B Kaivostoiminta ja louhinta, 2017 (TP) osuudesta asukkaat', 'C Teollisuus, 2017 (TP) osuudesta asukkaat', 'D Sähkö-, kaasu- ja lämpöhuolto, jäähdytysliiketoiminta, 2017 (TP) osuudesta asukkaat', 'E Vesihuolto, viemäri- ja jätevesihuolto ja muu ympäristön puhtaanapito, 2017 (TP) osuudesta asukkaat', 'F Rakentaminen, 2017 (TP) osuudesta asukkaat', 'G Tukku- ja vähittäiskauppa; moottoriajoneuvojen ja moottoripyörien korjaus, 2017 (TP) osuudesta asukkaat', 'H Kuljetus ja varastointi, 2017 (TP) osuudesta asukkaat', 'I Majoitus- ja ravitsemistoiminta, 2017 (TP) osuudesta asukkaat', 'J Informaatio ja viestintä, 2017 (TP) osuudesta asukkaat', 'K Rahoitus- ja vakuutustoiminta, 2017 (TP) osuudesta asukkaat', 'L Kiinteistöalan toiminta, 2017 (TP) osuudesta asukkaat', 'M Ammatillinen, tieteellinen ja tekninen toiminta, 2017 (TP) osuudesta asukkaat', 'N Hallinto- ja tukipalvelutoiminta, 2017 (TP) osuudesta asukkaat', 'O Julkinen hallinto ja maanpuolustus; pakollinen sosiaalivakuutus, 2017 (TP) osuudesta asukkaat', 'P Koulutus, 2017 (TP) osuudesta asukkaat', 'Q Terveys- ja sosiaalipalvelut, 2017 (TP) osuudesta asukkaat', 'R Taiteet, viihde ja virkistys, 2017 (TP) osuudesta asukkaat', 'S Muu palvelutoiminta, 2017 (TP) osuudesta asukkaat', 'T Kotitalouksien toiminta työnantajina; kotitalouksien eriyttämätön toiminta tavaroiden ja palveluiden tuottamiseksi omaan käyttöön, 2017 (TP) osuudesta asukkaat', 'U Kansainvälisten organisaatioiden ja toimielinten toiminta, 2017 (TP) osuudesta asukkaat', 'Ravintolat osuudesta asukkaat', 'Myymälät osuudesta asukkaat', 'Nuorten yksinasuvien taloudet, 2018 (TE) osuudesta taloudet', 'Lapsettomat nuorten parien taloudet, 2018 (TE) osuudesta taloudet', 'Lapsitaloudet, 2018 (TE) osuudesta taloudet', 'Teini-ikäisten lasten taloudet, 2018 (TE) osuudesta taloudet', 'Aikuisten taloudet, 2018 (TE) osuudesta taloudet', 'Eläkeläisten taloudet, 2018 (TE) osuudesta taloudet', 'Omistusasunnoissa asuvat taloudet, 2018 (TE) osuudesta taloudet', 'Vuokra-asunnoissa asuvat taloudet, 2018 (TE) osuudesta taloudet', 'Alimpaan tuloluokkaan kuuluvat taloudet, 2017 (TR) osuudesta taloudet', 'Keskimmäiseen tuloluokkaan kuuluvat taloudet, 2017 (TR) osuudesta taloudet', 'Ylimpään tuloluokkaan kuuluvat taloudet, 2017 (TR) osuudesta taloudet', '1.1.3 Kirkollisvero Yhteensä Saajien lukumäärä osuudesta verotetut', '11. Yrittäjätulot yhteensä Yhteensä Saajien lukumäärä osuudesta verotetut', '4.2.10 Muut veronalaiset sosiaalietuudet Yhteensä Saajien lukumäärä osuudesta verotetut', '4.2.6 Tapaturma- ym. muut päivärahat Yhteensä Saajien lukumäärä osuudesta verotetut', '4.2.7 Päivä- ja äitiyspäivärahat Yhteensä Saajien lukumäärä osuudesta verotetut', '4.2.8 Lapsen kotihoidon tuki Yhteensä Saajien lukumäärä osuudesta verotetut', '4.2.9 Kuntoutusraha ja -avustus Yhteensä Saajien lukumäärä osuudesta verotetut', '5.1.3 Vuokratulo Yhteensä Saajien lukumäärä osuudesta verotetut', '11.5.1.1 Asuntolainan korkomenot (TVL 58 § 2 mom.) Yhteensä Summa, euroa osuus total', '14.12 Opintolainavähennys Yhteensä Summa, euroa osuus total', '14.7 Kotitalousvähennys Yhteensä Summa, euroa osuus total', '2. Tulot yhteensä Yhteensä Summa, euroa osuus total', '1.1 Tuloverot yhteensä Yhteensä Summa, euroa osuus total', '4.1.C Autoetu Yhteensä Summa, euroa osuus total', '4.2 Työmatkakulujen perusteella palkkatulosta vähennettävä määrä (TVL 93 §) Yhteensä Summa, euroa osuus total', '5. Pääomatulot yhteensä Yhteensä Summa, euroa osuus total', 'Ruotsinkielisten osuus väestöstä, %, 2019', 'Taajama-aste, %, 2018', 'Ulkomaan kansalaisten osuus väestöstä, %, 2019', 'Kuntien välinen muuttovoitto/-tappio, henkilöä, 2019 osuudesta asukkaat nollatta', 'etaisyys osuus area_code','tkalue', 'Tuloveroprosentti'] else: numeric_features = ['Miehet, 2018 (HE) osuudesta asukkaat', 'Asuntojen keskipinta-ala, 2018 (RA) osuus total', 'Talotyypit yhteensä 2019 Neliöhinta (EUR/m2) osuus total', 'Asumisväljyys, 2018 (TE) osuus total', 'Asukkaiden keski-ikä, 2018 (HE) osuus total', 'Postinumeroalueen pinta-ala osuus area_code', 'Perusasteen suorittaneet, 2018 (KO) osuudesta asukkaat', 'Ammatillisen tutkinnon suorittaneet, 2018 (KO) osuudesta asukkaat', 'Ylioppilastutkinnon suorittaneet, 2018 (KO) osuudesta asukkaat', 'Alemman korkeakoulututkinnon suorittaneet, 2018 (KO) osuudesta asukkaat', 'Ylemmän korkeakoulututkinnon suorittaneet, 2018 (KO) osuudesta asukkaat', 'Asukkaiden ostovoimakertymä, 2017 (HR) osuudesta asukkaat osuus total', 'Kerrostaloasunnot, 2018 (RA) osuudesta asukkaat', 'Kesämökit yhteensä, 2018 (RA) osuudesta asukkaat', 'Pientaloasunnot, 2018 (RA) osuudesta asukkaat', 'Työlliset, 2017 (PT) osuudesta asukkaat', 'Työttömät, 2017 (PT) osuudesta asukkaat', 'Opiskelijat, 2017 (PT) osuudesta asukkaat', 'A Maatalous, metsätalous ja kalatalous, 2017 (TP) osuudesta asukkaat', 'J Informaatio ja viestintä, 2017 (TP) osuudesta asukkaat', 'K Rahoitus- ja vakuutustoiminta, 2017 (TP) osuudesta asukkaat', 'O Julkinen hallinto ja maanpuolustus; pakollinen sosiaalivakuutus, 2017 (TP) osuudesta asukkaat', 'P Koulutus, 2017 (TP) osuudesta asukkaat', 'Q Terveys- ja sosiaalipalvelut, 2017 (TP) osuudesta asukkaat', 'R Taiteet, viihde ja virkistys, 2017 (TP) osuudesta asukkaat', 'Ravintolat osuudesta asukkaat', 'Myymälät osuudesta asukkaat', 'Nuorten yksinasuvien taloudet, 2018 (TE) osuudesta taloudet', 'Lapsettomat nuorten parien taloudet, 2018 (TE) osuudesta taloudet', 'Lapsitaloudet, 2018 (TE) osuudesta taloudet', 'Aikuisten taloudet, 2018 (TE) osuudesta taloudet', 'Eläkeläisten taloudet, 2018 (TE) osuudesta taloudet', 'Omistusasunnoissa asuvat taloudet, 2018 (TE) osuudesta taloudet', 'Vuokra-asunnoissa asuvat taloudet, 2018 (TE) osuudesta taloudet', 'Alimpaan tuloluokkaan kuuluvat taloudet, 2017 (TR) osuudesta taloudet', 'Keskimmäiseen tuloluokkaan kuuluvat taloudet, 2017 (TR) osuudesta taloudet', 'Ylimpään tuloluokkaan kuuluvat taloudet, 2017 (TR) osuudesta taloudet', '1.1.3 Kirkollisvero Yhteensä Saajien lukumäärä osuudesta verotetut', '11. Yrittäjätulot yhteensä Yhteensä Saajien lukumäärä osuudesta verotetut', '4.2.6 Tapaturma- ym. muut päivärahat Yhteensä Saajien lukumäärä osuudesta verotetut', '4.2.7 Päivä- ja äitiyspäivärahat Yhteensä Saajien lukumäärä osuudesta verotetut', '4.2.8 Lapsen kotihoidon tuki Yhteensä Saajien lukumäärä osuudesta verotetut', '4.2.9 Kuntoutusraha ja -avustus Yhteensä Saajien lukumäärä osuudesta verotetut', '5.1.3 Vuokratulo Yhteensä Saajien lukumäärä osuudesta verotetut', '11.5.1.1 Asuntolainan korkomenot (TVL 58 § 2 mom.) Yhteensä Summa, euroa osuus total', '14.12 Opintolainavähennys Yhteensä Summa, euroa osuus total', '14.7 Kotitalousvähennys Yhteensä Summa, euroa osuus total', '1.1 Tuloverot yhteensä Yhteensä Summa, euroa osuus total', '4.1.C Autoetu Yhteensä Summa, euroa osuus total', '4.2 Työmatkakulujen perusteella palkkatulosta vähennettävä määrä (TVL 93 §) Yhteensä Summa, euroa osuus total', '5. Pääomatulot yhteensä Yhteensä Summa, euroa osuus total', 'Ruotsinkielisten osuus väestöstä, %, 2019', 'Taajama-aste, %, 2018', 'Ulkomaan kansalaisten osuus väestöstä, %, 2019', 'Kuntien välinen muuttovoitto/-tappio, henkilöä, 2019 osuudesta asukkaat nollatta', 'etaisyys osuus area_code', 'tkalue', 'Tuloveroprosentti'] col_puolueet = ['Ääniosuus KD', 'Ääniosuus KESK', 'Ääniosuus KOK', 'Ääniosuus PS', 'Ääniosuus RKP', 'Ääniosuus SDP', 'Ääniosuus VAS', 'Ääniosuus VIHR', 'Äänestysosuus'] if not pnroalue: not_in_kunta = ['Myymälät osuudesta asukkaat', 'Postinumeroalueen pinta-ala osuus area_code', 'Kuntien välinen muuttovoitto/-tappio, henkilöä, 2019 osuudesta asukkaat nollatta', 'etaisyys osuus area_code', 'tkalue', 'Ravintolat osuudesta asukkaat'] removeset = set(not_in_kunta) numeric_features[:] = [x for x in numeric_features if x not in removeset] categorical_features=[] if parties: numeric_features = numeric_features + col_puolueet return(numeric_features, categorical_features)

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0.229508

0.151765

0.058586

0.089831

0.816571

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0.790208

0

0.057833

0.392263

13,287

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83.566038

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1

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false

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null

0

1

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1

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1

0

null

0

8

c60a2cc1c22fe56343cd87594edf7ff1c366f8f2

16,161

py

Python

src/nti/recipes/zodb/tests/test_relstorage.py

NextThought/nti.recipes.zodb

6cf9c4faeacc59083c200dd6cdba813dfdfd9390

[ "Apache-2.0" ]

null

src/nti/recipes/zodb/tests/test_relstorage.py

NextThought/nti.recipes.zodb

6cf9c4faeacc59083c200dd6cdba813dfdfd9390

[ "Apache-2.0" ]

8

2019-11-05T17:05:49.000Z

2020-10-06T15:26:06.000Z

src/nti/recipes/zodb/tests/test_relstorage.py

NextThought/nti.recipes.zodb

6cf9c4faeacc59083c200dd6cdba813dfdfd9390

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import print_function, absolute_import, division __docformat__ = "restructuredtext en" import textwrap import unittest from hamcrest import is_not from hamcrest import assert_that from hamcrest import contains_string from nti.recipes.zodb.relstorage import Databases from . import default_buildout def setup_buildout_environment(**extra_options): return default_buildout( default_sections=dict( relstorages_opts={ 'sql_user': 'BAZ', 'pack-gc': 'true' }, relstorages_users_storage_opts={ 'sql_user': 'FOO', 'pack-gc': 'false' }, ), **extra_options ) class TestDatabases(unittest.TestCase): def setUp(self): self.buildout = setup_buildout_environment() def test_parse(self): buildout = self.buildout buildout['environment'] = { 'sql_user': 'user', 'sql_passwd': 'passwd', 'sql_host': 'host', 'cache_servers': 'cache', 'compress': 'true', } Databases(buildout, 'relstorages', {'storages': 'Users Users_1 Sessions', 'enable-persistent-cache': 'true'}) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('shared-blob-dir false')) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('FOO')) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('pack-gc false')) assert_that(buildout['relstorages_users_1_storage']['client_zcml'], contains_string('BAZ')) assert_that(buildout['relstorages_users_1_storage']['client_zcml'], contains_string('pack-gc true')) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('cache-local-dir /caches/data_cache/Users.cache')) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('cache-local-mb 300')) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('cache-servers cache')) def test_parse_no_environment(self): # No verification, just sees if it runs buildout = self.buildout Databases(buildout, 'relstorages', { 'storages': 'Users Users_1 Sessions', 'sql_user': 'user', 'sql_passwd': 'passwd', 'sql_host': 'host', 'relstorage-name-prefix': 'zzz', 'cache_servers': 'cache', 'enable-persistent-cache': 'true', 'compress': 'none', 'pool_timeout': '42', }) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('shared-blob-dir false')) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('FOO')) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('pack-gc false')) assert_that(buildout['relstorages_users_1_storage']['client_zcml'], contains_string('BAZ')) assert_that(buildout['relstorages_users_1_storage']['client_zcml'], contains_string('pack-gc true')) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('cache-local-dir /caches/data_cache/Users.cache')) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('cache-local-mb 300')) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('cache-servers cache')) assert_that(buildout['relstorages_users_storage']['client_zcml'], contains_string('name zzzUsers')) expected = """\ <zodb Users> cache-size 100000 database-name Users pool-size 60 pool-timeout 42 <relstorage Users> <mysql> # This comment preserves whitespace db Users host host passwd passwd user FOO </mysql> blob-dir /data/Users.blobs cache-local-dir /caches/data_cache/Users.cache cache-local-mb 300 cache-prefix Users commit-lock-timeout 60 keep-history false name zzzUsers pack-gc false shared-blob-dir false cache-module-name memcache cache-servers cache </relstorage> </zodb>""" self.assertEqual( buildout['relstorages_users_storage']['client_zcml'], expected ) def test_parse_no_environment_extra_args(self): buildout = self.buildout buildout['relstorages_sessions_storage_opts'] = { 'sql_adapter_extra_args': textwrap.dedent( """ driver gevent mysqldb """ ) } Databases(buildout, 'relstorages', {'storages': 'Sessions', 'sql_user': 'user', 'sql_passwd': 'passwd', 'sql_host': 'host', 'relstorage-name-prefix': 'zzz', 'cache_servers': 'cache', 'enable-persistent-cache': 'true', 'compress': 'true'}) expected = """\ <zodb Sessions> cache-size 100000 database-name Sessions pool-size 60 <zlibstorage Sessions> <relstorage Sessions> <mysql> # This comment preserves whitespace db Sessions driver gevent mysqldb host host passwd passwd user BAZ </mysql> blob-dir /data/Sessions.blobs cache-local-dir /caches/data_cache/Sessions.cache cache-local-mb 300 cache-prefix Sessions commit-lock-timeout 60 keep-history false name zzzSessions pack-gc true shared-blob-dir false cache-module-name memcache cache-servers cache </relstorage> </zlibstorage> </zodb>""" self.assertEqual( expected, buildout['relstorages_sessions_storage']['client_zcml'], ) def test_parse_postgres_with_dsn(self): buildout = self.buildout buildout['environment'] = { 'sql_user': 'user', 'sql_passwd': 'passwd', 'sql_host': 'host', } buildout['relstorages_sessions_storage_opts'] = { 'sql_adapter': 'postgresql', 'sql_user': '${environment:sql_user}', 'sql_passwd': '${environment:sql_passwd}', 'sql_host': '${environment:sql_host}', 'sql_db': 'sessions', 'sql_adapter_args': textwrap.dedent( """ dsn dbname=${:sql_db} user=${:sql_user} password=${:sql_passwd} host=${:sql_host} """ ), } Databases(buildout, 'relstorages', { 'storages': 'Sessions', }) expected = """\ <zodb Sessions> cache-size 100000 database-name Sessions pool-size 60 <zlibstorage Sessions> <relstorage Sessions> <postgresql> # This comment preserves whitespace dsn dbname=sessions user=user password=passwd host=host </postgresql> blob-dir /data/Sessions.blobs cache-local-dir /caches/data_cache/Sessions.cache cache-local-mb 300 cache-prefix Sessions commit-lock-timeout 60 keep-history false name Sessions pack-gc true shared-blob-dir false </relstorage> compress false </zlibstorage> </zodb>""" self.assertEqual( expected, buildout['relstorages_sessions_storage']['client_zcml'] ) def test_parse_postgres_auto_dsn(self): # If no DSN is provided in sql_adapter_args, then one is created from the parts # that are present. Leave out password and host to test skipping those; # specify a port to test quoting. buildout = self.buildout buildout['relstorages_sessions_storage_opts'] = { 'sql_adapter': 'postgresql', 'sql_adapter_extra_args': textwrap.dedent(""" sql_port 5433 """) } Databases(buildout, 'relstorages', { 'storages': 'Sessions', }) expected = """\ <zodb Sessions> cache-size 100000 database-name Sessions pool-size 60 <zlibstorage Sessions> <relstorage Sessions> <postgresql> # This comment preserves whitespace dsn dbname='Sessions' user='BAZ' port=5433 </postgresql> blob-dir /data/Sessions.blobs cache-local-dir /caches/data_cache/Sessions.cache cache-local-mb 300 cache-prefix Sessions commit-lock-timeout 60 keep-history false name Sessions pack-gc true shared-blob-dir false </relstorage> compress false </zlibstorage> </zodb>""" self.assertEqual( expected, buildout['relstorages_sessions_storage']['client_zcml'] ) def test_parse_override_defaults_local(self): buildout = self.buildout buildout['environment'] = { 'sql_user': 'user', 'sql_passwd': 'passwd', 'sql_host': 'host', } # If this one isn't present, then # the one from the most specific section isn't found at all. # That's ok, this is the one that's documented. buildout['relstorages_opts']['pool_timeout'] = '64s' buildout['relstorages_sessions_storage_opts'] = { 'pool_size': 13, 'pool_timeout': 54, # This one is actually found 'commit_lock_timeout': 42, } Databases(buildout, 'relstorages', { 'storages': 'Sessions', }) expected = """\ <zodb Sessions> cache-size 100000 database-name Sessions pool-size 13 pool-timeout 54 <zlibstorage Sessions> <relstorage Sessions> <mysql> # This comment preserves whitespace db Sessions host host passwd passwd user BAZ </mysql> blob-dir /data/Sessions.blobs cache-local-dir /caches/data_cache/Sessions.cache cache-local-mb 300 cache-prefix Sessions commit-lock-timeout 42 keep-history false name Sessions pack-gc true shared-blob-dir false </relstorage> compress false </zlibstorage> </zodb>""" self.assertEqual( expected, buildout['relstorages_sessions_storage']['client_zcml'] ) def test_parse_override_defaults_part(self): buildout = self.buildout buildout['environment'] = { 'sql_user': 'user', 'sql_passwd': 'passwd', 'sql_host': 'host', } Databases(buildout, 'relstorages', { 'storages': 'Sessions', 'pool_size': 13, 'commit_lock_timeout': 42, 'cache_size': 345, }) expected = """\ <zodb Sessions> cache-size 345 database-name Sessions pool-size 13 <zlibstorage Sessions> <relstorage Sessions> <mysql> # This comment preserves whitespace db Sessions host host passwd passwd user BAZ </mysql> blob-dir /data/Sessions.blobs cache-local-dir /caches/data_cache/Sessions.cache cache-local-mb 300 cache-prefix Sessions commit-lock-timeout 42 keep-history false name Sessions pack-gc true shared-blob-dir false </relstorage> compress false </zlibstorage> </zodb>""" self.assertEqual( expected, buildout['relstorages_sessions_storage']['client_zcml'] ) def test_parse_no_secondary_cache(self): # No verification, just sees if it runs buildout = self.buildout Databases(buildout, 'relstorages', {'storages': 'Users Users_1 Sessions', 'sql_user': 'user', 'sql_passwd': 'passwd', 'sql_host': 'host', 'enable-persistent-cache': 'true'}) assert_that(buildout['relstorages_users_storage']['client_zcml'], is_not(contains_string('cache-servers'))) def test_parse_no_secondary_cache_legacy(self): # No verification, just sees if it runs buildout = setup_buildout_environment() buildout['environment'] = { 'sql_user': 'user', 'sql_passwd': 'passwd', 'sql_host': 'host' } Databases(buildout, 'relstorages', { 'storages': 'Users Users_1 Sessions', 'enable-persistent-cache': 'true' }) assert_that(buildout['relstorages_users_storage']['client_zcml'], is_not(contains_string('cache-servers'))) maxDiff = None def test_parse_sqlite(self): buildout = setup_buildout_environment(relstorages_opts={'sql_adapter': 'sqlite3'}) buildout['relstorages_sessions_storage_opts'] = { 'sql_adapter_extra_args': textwrap.dedent( """ driver gevent sqlite <pragmas> synchronous off </pragmas> """ ) } Databases(buildout, 'relstorages', { 'storages': 'Users Sessions', 'write-zodbconvert': 'true', }) self.assertEqual( buildout['relstorages_opts']['sql_adapter'], 'sqlite3') self.assertEqual( buildout['relstorages_users_storage']['sql_adapter'], 'sqlite3' ) expected = """\ <zodb Users> cache-size 100000 database-name Users pool-size 60 <zlibstorage Users> <relstorage Users> <sqlite3> # This comment preserves whitespace data-dir /data/relstorages_users_storage </sqlite3> blob-dir /data/Users.blobs cache-local-dir /caches/data_cache/Users.cache cache-local-mb 300 cache-prefix Users commit-lock-timeout 60 keep-history false name Users pack-gc false shared-blob-dir true </relstorage> compress false </zlibstorage> </zodb>""" self.assertEqual( expected, buildout['relstorages_users_storage']['client_zcml'], ) expected = """\ <zodb Sessions> cache-size 100000 database-name Sessions pool-size 60 <zlibstorage Sessions> <relstorage Sessions> <sqlite3> # This comment preserves whitespace data-dir /data/relstorages_sessions_storage driver gevent sqlite <pragmas> synchronous off </pragmas> </sqlite3> blob-dir /data/Sessions.blobs cache-local-dir /caches/data_cache/Sessions.cache cache-local-mb 300 cache-prefix Sessions commit-lock-timeout 60 keep-history false name Sessions pack-gc true shared-blob-dir true </relstorage> compress false </zlibstorage> </zodb>""" self.assertEqual( buildout['relstorages_sessions_storage']['client_zcml'], expected ) self.assertEqual( [x.strip() for x in buildout['relstorages_sessions_storage']['client_zcml'].splitlines() if x.strip()], [x.strip() for x in expected.splitlines() if x.strip()]) assert_that(buildout['zodb_conf']['input'], contains_string('data-dir /data/relstorages_sessions_storage')) assert_that(buildout['sessions_to_relstorage_conf']['input'], contains_string('data-dir /data/relstorages_sessions_storage')) assert_that(buildout['sessions_from_relstorage_conf']['input'], contains_string('data-dir /data/relstorages_sessions_storage'))

30.207477

97

0.58536

1,611

16,161

5.673495

0.113594

0.095624

0.052079

0.060284

0.828884

0.786652

0.745405

0.72779

0.702188

0

0.013571

0.306974

16,161

534

98

30.264045

0.8025

0.030939

0

0.761589

0

0.537211

0.114636

0

0.075055

1

0.02649

false

0.030905

0.01766

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0

null

0

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0

1

0

null

0

7

c6530ec3c1fa6e94107ba9d193115ef424b06e74

9,780

py

Python

hopfield.py

h-mayorquin/hopfield_sequences

ca502821450589abcf195ff25b94c766becc8e6c

[ "MIT" ]

null

hopfield.py

h-mayorquin/hopfield_sequences

ca502821450589abcf195ff25b94c766becc8e6c

[ "MIT" ]

null

hopfield.py

h-mayorquin/hopfield_sequences

ca502821450589abcf195ff25b94c766becc8e6c

[ "MIT" ]

null

import numpy as np import collections class Hopfield(): """ The hopfield network in the simplest case of AMIT book in attractor neural network """ def __init__(self, n_dim=3, T=0, prng=np.random): self.prng = prng self.n_dim = n_dim self.s = np.sign(prng.normal(size=n_dim)) self.h = np.zeros(n_dim) # Noise parameters self.T = T self.sigma = T / (2 * np.sqrt(2)) # Check page 67 of Amit to see where does this comes from self.list_of_patterns = None self.w = None self.m = None self.state_distance = None def train(self, list_of_patterns, normalize=True): """ Implements the Hebbian learning rule :param list_of_patterns: This is a list with the desired parameters for equilibrum normalize: normalizes the w matrix by its dimension :return: w the weight matrix. """ self.list_of_patterns = list_of_patterns self.w = np.zeros((self.n_dim, self.n_dim)) for pattern in list_of_patterns: self.w += np.outer(pattern, pattern) if normalize: self.w *= (1.0 / self.n_dim) # zeros in the diagonal self.w[np.diag_indices_from(self.w)] = 0 def generate_random_patterns(self, n_store): list_of_patterns = [np.sign(self.prng.normal(size=self.n_dim)) for i in range(n_store)] return list_of_patterns def update_sync(self): """ Updates the network state of all the neurons at the same time """ if self.sigma < 0.001: noise = 0 else: noise = self.prng.normal(0, scale=self.sigma, size=self.n_dim) # Linear part self.h = np.dot(self.w, self.s) + noise # Non-linear part # self.state = sigmoid_logistic(self.state) self.s = np.sign(self.h) def update_async(self): """ Updates the network state one neuron at a time """ # Generate random number i = self.prng.randint(self.n_dim, size=1)[0] # Linear # self.state = np.dot(self.state, self.w[i, ...]) if self.sigma < 0.001: noise = 0 else: noise = self.prng.normal(loc=self.sigma) self.h[i] = np.dot(self.w[i, ...], self.s) + noise # Non-linear self.s[i] = np.sign(self.h[i]) def calculate_overlap(self): self.m = np.mean(self.s * self.list_of_patterns, axis=1) return self.m def calculate_state_distance(self): """ Calcualtes the distance between the state and all the patterns :return: A state distance vector with the distance between the actual state of the system and all the stored patterns """ self.state_distance = np.ones(len(self.list_of_patterns)) for index, pattern in enumerate(self.list_of_patterns): self.state_distance[index] = np.linalg.norm(self.s - pattern) return self.state_distance class HopfieldSequence(): """ The hopfield as a sequence """ def __init__(self, n_dim=3, tau=10, g_delay=1.0, T=0, prng=np.random): self.prng = prng self.n_dim = n_dim self.tau = tau self.g_delay = g_delay self.s = np.sign(prng.normal(size=n_dim)) self.h = np.zeros(n_dim) # Noise parameters self.T = T self.sigma = T / (2 * np.sqrt(2)) # Check page 67 of Amit to see where does this comes from self.list_of_patterns = None self.w = None self.w_delay = None self.m = None self.state_distance = None aux = [np.zeros(n_dim) for i in range(self.tau)] self.s_history = collections.deque(aux, maxlen=self.tau) def train(self, list_of_patterns, normalize=True): """ Implements the Hebbian learning rule :param list_of_patterns: This is a list with the desired parameters for equilibrum normalize: normalizes the w matrix by its dimension :return: w the weight matrix. """ self.list_of_patterns = list_of_patterns self.w = np.zeros((self.n_dim, self.n_dim)) for pattern in list_of_patterns: self.w += np.outer(pattern, pattern) if normalize: self.w *= (1.0 / self.n_dim) # zeros in the diagonal self.w[np.diag_indices_from(self.w)] = 0 def train_delays(self, list_of_patterns, normalize=True): self.list_of_patterns_sequence = list_of_patterns self.w_delay = np.zeros((self.n_dim, self.n_dim)) for index in range(len(list_of_patterns) - 1): pattern1 = list_of_patterns[index + 1] pattern2 = list_of_patterns[index] self.w_delay += np.outer(pattern1, pattern2) if normalize: self.w_delay *= (1.0 / self.n_dim) # zeros in the diagonal self.w_delay[np.diag_indices_from(self.w_delay)] = 0 def generate_random_patterns(self, n_store): list_of_patterns = [np.sign(self.prng.normal(size=self.n_dim)) for i in range(n_store)] return list_of_patterns def update_sync(self): """ Updates the network state of all the neurons at the same time """ if self.sigma < 0.001: noise = 0 else: noise = self.prng.normal(0, scale=self.sigma, size=self.n_dim) # Linear part self.h = np.dot(self.w, self.s) + \ self.g_delay * np.dot(self.w_delay, self.s_history.pop()) + noise # Non-linear part # self.state = sigmoid_logistic(self.state) self.s = np.sign(self.h) self.s_history.appendleft(np.copy(self.s)) def update_async_random_sequence(self): random_sequence = self.prng.choice(self.n_dim, size=self.n_dim, replace=False) for i in random_sequence: self.update_async_one(i) self.s_history.appendleft(np.copy(self.s)) def update_async(self, i=None): """ Updates the network state one neuron at a time """ # Generate random number if i is None: i = self.prng.randint(self.n_dim, size=1)[0] if self.sigma < 0.001: noise = 0 else: noise = self.prng.normal(loc=self.sigma) self.h[i] = np.dot(self.w[i, ...], self.s) \ + self.g_delay * np.dot(self.w_delay[i, ...], self.s_history[-1]) + noise # Non-linear self.s[i] = np.sign(self.h[i]) self.s_history.appendleft(np.copy(self.s)) def calculate_overlap(self): self.m = np.mean(self.s * self.list_of_patterns, axis=1) return self.m def calculate_state_distance(self): """ Calcualtes the distance between the state and all the patterns :return: A state distance vector with the distance between the actual state of the system and all the stored patterns """ self.state_distance = np.ones(len(self.list_of_patterns)) for index, pattern in enumerate(self.list_of_patterns): self.state_distance[index] = np.linalg.norm(self.s - pattern) return self.state_distance class HopfieldDiff(): def __init__(self, n_dim=3, tau_m=20.0, dt=0.1, T=0, prng=np.random): self.prng = prng self.tau_m = tau_m self.dt = dt self.n_dim = n_dim self.s = np.sign(prng.normal(size=n_dim)) self.h = np.zeros(n_dim) # Noise parameters self.T = T self.sigma = T / (2 * np.sqrt(2)) # Check page 67 of Amit to see where does this comes from self.list_of_patterns = None self.w = None self.m = None self.state_distance = None def train(self, list_of_patterns, normalize=True): """ Implements the Hebbian learning rule :param list_of_patterns: This is a list with the desired parameters for equilibrum normalize: normalizes the w matrix by its dimension :return: w the weight matrix. """ self.list_of_patterns = list_of_patterns self.w = np.zeros((self.n_dim, self.n_dim)) for pattern in list_of_patterns: self.w += np.outer(pattern, pattern) if normalize: self.w *= (1.0 / self.n_dim) # zeros in the diagonal self.w[np.diag_indices_from(self.w)] = 0 def generate_random_patterns(self, n_store): list_of_patterns = [np.sign(self.prng.normal(size=self.n_dim)) for i in range(n_store)] return list_of_patterns def update(self): """ Updates the network state of all the neurons at the same time """ if self.sigma < 0.001: noise = np.zeros(self.n_dim) else: noise = self.prng.normal(0, scale=self.sigma, size=self.n_dim) aux = np.sign(np.dot(self.w, self.s)) self.s += (self.dt / self.tau_m) * (aux - self.s + noise) def calculate_state_distance(self): """ Calcualtes the distance between the state and all the patterns :return: A state distance vector with the distance between the actual state of the system and all the stored patterns """ n_patterns = len(self.list_of_patterns) self.state_distance = np.ones((2, n_patterns)) for index, pattern in enumerate(self.list_of_patterns): self.state_distance[0, index] = np.linalg.norm(self.s - pattern) self.state_distance[1, index] = np.linalg.norm(self.s + pattern) return self.state_distance def calculate_overlap(self): self.m = np.mean(self.s * self.list_of_patterns, axis=1) return self.m

29.546828

100

0.600204

1,423

9,780

3.97681

0.104708

0.027567

0.096483

0.063615

0.866231

0.858986

0.843082

0.8217

0.815692

0.805796

0

0.01205

0.295706

9,780

331

101

29.546828

0.809524

0.216871

0

0.720497

0

1

0.136646

false

0

0.012422

0

0.223602

0

null

0

1

0

1

0

null

0

7

d672d935a24d0c14b46a69a864fcaddfb22f49ee

334,406

py

Python

skidl/libs/msp430_sklib.py

arjenroodselaar/skidl

0bf801bd3b74e6ef94bd9aa1b68eef756b568276

[ "MIT" ]

700

2016-08-16T21:12:50.000Z

2021-10-10T02:15:18.000Z

skidl/libs/msp430_sklib.py

0dvictor/skidl

458709a10b28a864d25ae2c2b44c6103d4ddb291

[ "MIT" ]

118

2016-08-16T20:51:05.000Z

2021-10-10T08:07:18.000Z

skidl/libs/msp430_sklib.py

0dvictor/skidl

458709a10b28a864d25ae2c2b44c6103d4ddb291

[ "MIT" ]

94

2016-08-25T14:02:28.000Z

2021-09-12T05:17:08.000Z

from skidl import SKIDL, TEMPLATE, Part, Pin, SchLib SKIDL_lib_version = '0.0.1' msp430 = SchLib(tool=SKIDL).add_parts(*[ Part(name='MSP430AFE221IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430AFE231IPW', 'MSP430AFE251IPW'],pins=[ Pin(num='1',name='A0.0+',func=Pin.PASSIVE,do_erc=True), Pin(num='2',name='A0.0-',func=Pin.PASSIVE,do_erc=True), Pin(num='3',name='(AVSS)',func=Pin.PASSIVE,do_erc=True), Pin(num='4',name='(AVSS)',func=Pin.PASSIVE,do_erc=True), Pin(num='5',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='6',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='Vref',func=Pin.PASSIVE,do_erc=True), Pin(num='8',name='(AVSS)',func=Pin.PASSIVE,do_erc=True), Pin(num='9',name='(AVSS)',func=Pin.PASSIVE,do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='20',name='URXD0/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='21',name='TMS/SVSOUT/SIMO0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='TA2/SMCLK/TACLK/SVSIN/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TCK/TA2/SOMI0/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='23',name='TDI/TDO/TA1/UCLK0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='XT2IN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TCLK/TDI/TA0/STE0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='XT2OUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='17',name='SDCLK/TA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='SD0DO/TA0/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='UTXD0/P1.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430AFE222IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430AFE232IPW', 'MSP430AFE252IPW'],pins=[ Pin(num='1',name='A0.0+',func=Pin.PASSIVE,do_erc=True), Pin(num='2',name='A0.0-',func=Pin.PASSIVE,do_erc=True), Pin(num='3',name='A1.0+',func=Pin.PASSIVE,do_erc=True), Pin(num='4',name='A1.0-',func=Pin.PASSIVE,do_erc=True), Pin(num='5',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='6',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='Vref',func=Pin.PASSIVE,do_erc=True), Pin(num='8',name='(AVSS)',func=Pin.PASSIVE,do_erc=True), Pin(num='9',name='(AVSS)',func=Pin.PASSIVE,do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='20',name='URXD0/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='21',name='TMS/SVSOUT/SIMO0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='TA2/SMCLK/TACLK/SVSIN/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TCK/TA2/SOMI0/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='23',name='TDI/TDO/TA1/UCLK0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='XT2IN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TCLK/TDI/TA0/STE0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='XT2OUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='17',name='SDCLK/TA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='SD0DO/TA0/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='SD1DO/UTXD0/P1.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430AFE223IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430AFE233IPW', 'MSP430AFE253IPW'],pins=[ Pin(num='1',name='A0.0+',func=Pin.PASSIVE,do_erc=True), Pin(num='2',name='A0.0-',func=Pin.PASSIVE,do_erc=True), Pin(num='3',name='A1.0+',func=Pin.PASSIVE,do_erc=True), Pin(num='4',name='A1.0-',func=Pin.PASSIVE,do_erc=True), Pin(num='5',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='6',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='Vref',func=Pin.PASSIVE,do_erc=True), Pin(num='8',name='A2.0+',func=Pin.PASSIVE,do_erc=True), Pin(num='9',name='A2.0-',func=Pin.PASSIVE,do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='20',name='SD2DO/URXD0/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='21',name='TMS/SVSOUT/SIMO0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='TA2/SMCLK/TACLK/SVSIN/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TCK/TA2/SOMI0/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='23',name='TDI/TDO/TA1/UCLK0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='XT2IN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TCLK/TDI/TA0/STE0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='XT2OUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='17',name='SDCLK/TA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='SD0DO/TA0/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='SD1DO/UTXD0/P1.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F1101AIDGV',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin TVSOP, 4KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1111AIDGV', 'MSP430F1121AIDGV'],pins=[ Pin(num='1',name='TEST',do_erc=True), Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='6',name='XIN',do_erc=True), Pin(num='7',name='~RST~/NMI',do_erc=True), Pin(num='8',name='P2.0/ACLK',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/INCLK',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/CAOUT/TA0',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P2.3/CA0/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/CA1/TA2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F1101AIDW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin SOWB, 4KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1111AIDW', 'MSP430F1121AIDW'],pins=[ Pin(num='1',name='TEST',do_erc=True), Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='6',name='XIN',do_erc=True), Pin(num='7',name='~RST~/NMI',do_erc=True), Pin(num='8',name='P2.0/ACLK',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/INCLK',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/CAOUT/TA0',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P2.3/CA0/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/CA1/TA2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F1101AIPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin TSSOP, 4KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1111AIPW', 'MSP430F1121AIPW'],pins=[ Pin(num='1',name='TEST',do_erc=True), Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='6',name='XIN',do_erc=True), Pin(num='7',name='~RST~/NMI',do_erc=True), Pin(num='8',name='P2.0/ACLK',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/INCLK',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/CAOUT/TA0',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P2.3/CA0/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/CA1/TA2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F1101AIRGE',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin QFN, 4KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1111AIRGE', 'MSP430F1121AIRGE'],pins=[ Pin(num='2',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='4',name='XIN',do_erc=True), Pin(num='5',name='~RST~/NMI',do_erc=True), Pin(num='6',name='P2.0/ACLK',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P2.1/INCLK',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.2/CAOUT/TA0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.3/CA0/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P2.4/CA1/TA2',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TEST',do_erc=True), Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F1122IDW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin SOWB, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1132IDW'],pins=[ Pin(num='1',name='TEST',do_erc=True), Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='6',name='XIN',do_erc=True), Pin(num='7',name='~RST~/NMI',do_erc=True), Pin(num='8',name='P2.0/A0/ACLK',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/A1/INCLK',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/A2/TA0',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P2.3/A3/VREF-/VeREF-/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/A4/VREF+/VeREF+/TA2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F1122IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin TSSOP, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1132IPW'],pins=[ Pin(num='1',name='TEST',do_erc=True), Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='6',name='XIN',do_erc=True), Pin(num='7',name='~RST~/NMI',do_erc=True), Pin(num='8',name='P2.0/A0/ACLK',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/A1/INCLK',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/A2/TA0',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P2.3/A3/VREF-/VeREF-/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/A4/VREF+/VeREF+/TA2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F1122IRHB',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='32pin QFN, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1132IRHB'],pins=[ Pin(num='1',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='3',name='XIN',do_erc=True), Pin(num='5',name='~RST~/NMI',do_erc=True), Pin(num='6',name='P2.0/A0/ACLK',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P2.1/A1/INCLK',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.2/A2/TA0',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='P2.3/A3/VREF-/VeREF-/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.4/A4/VREF+/VeREF+/TA2',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TEST',do_erc=True)]), Part(name='MSP430F1222IDW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='28pin SOWB, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1232IDW'],pins=[ Pin(num='1',name='TEST',do_erc=True), Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='6',name='XIN',do_erc=True), Pin(num='7',name='~RST~/NMI',do_erc=True), Pin(num='8',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='INCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA2/VeREF+/VREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.0/A5/STE0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.1/SIMO0',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/SOMI0',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/UCLK0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P3.4/UTXD0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P3.5/URXD0',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P3.6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='P3.7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA1/VeREF-/VREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F1222IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='28pin TSSOP, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1232IPW'],pins=[ Pin(num='1',name='TEST',do_erc=True), Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='6',name='XIN',do_erc=True), Pin(num='7',name='~RST~/NMI',do_erc=True), Pin(num='8',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='INCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA2/VeREF+/VREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.0/A5/STE0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.1/SIMO0',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/SOMI0',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/UCLK0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P3.4/UTXD0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P3.5/URXD0',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P3.6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='P3.7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA1/VeREF-/VREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F1222IRHB',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='32pin QFN, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1232IRHB'],pins=[ Pin(num='1',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='3',name='XIN',do_erc=True), Pin(num='5',name='~RST~/NMI',do_erc=True), Pin(num='6',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='INCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P3.0/A5/STE0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P3.1/SIMO0',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P3.2/SOMI0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.3/UCLK0',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.4/UTXD0',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.5/URXD0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P3.6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P3.7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA1/VeREF-/VREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA2/VeREF+/VREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TEST',do_erc=True)]), Part(name='MSP430F122IDW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='28pin SOWB, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F123IDW'],pins=[ Pin(num='1',name='TEST',do_erc=True), Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='6',name='XIN',do_erc=True), Pin(num='7',name='~RST~/NMI',do_erc=True), Pin(num='8',name='ACLK/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='INCLK/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA0/CAOUT/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA2/CA1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.0/STE0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.1/SIMO0',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/SOMI0',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/UCLK0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P3.4/UTXD0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P3.5/URXD0',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA1/CA0/P2.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F122IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='28pin TSSOP, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F123IPW'],pins=[ Pin(num='1',name='TEST',do_erc=True), Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='6',name='XIN',do_erc=True), Pin(num='7',name='~RST~/NMI',do_erc=True), Pin(num='8',name='ACLK/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='INCLK/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA0/CAOUT/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA2/CA1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.0/STE0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.1/SIMO0',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/SOMI0',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/UCLK0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P3.4/UTXD0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P3.5/URXD0',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA1/CA0/P2.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F122IRHB',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='32pin QFN, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F123IRHB'],pins=[ Pin(num='1',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='3',name='XIN',do_erc=True), Pin(num='5',name='~RST~/NMI',do_erc=True), Pin(num='6',name='ACLK/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='INCLK/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TA0/CAOUT/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P3.0/STE0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P3.1/SIMO0',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P3.2/SOMI0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.3/UCLK0',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.4/UTXD0',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.5/URXD0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA1/CA0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA2/CA1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TEST',do_erc=True)]), Part(name='MSP430F2001IN',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2011IN'],pins=[ Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='CA0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='CA1/TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='CA2/TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CA3/CAOUT/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='CA4/SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='CA5/TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='CA6/TA1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='CA7/CAOUT/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430F2001IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin TSSOP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2011IPW'],pins=[ Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='CA0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='CA1/TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='CA2/TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CA3/CAOUT/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='CA4/SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='CA5/TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='CA6/TA1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='CA7/CAOUT/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430F2001IRSA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='16pin QFN, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2011IRSA'],pins=[ Pin(num='1',name='CA0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='CA1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='CA2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='CA3/CAOUT/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CA4/TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='CA5/TMS/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='CA6/TDI/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='CA7/TDO/TDI/CAOUT/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='10',name='TEST/SBWTCK',do_erc=True), Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='VCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430F2002IN',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2012IN'],pins=[ Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='A0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='A1/TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='A2/TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/A3/VREF-/VeREF-/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SMCLK/A4/VREF+/VeREF+/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TA0/A5/SCLK/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TA1/A6/SDO/SCL/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='A7/SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430F2002IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin TSSOP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2012IPW'],pins=[ Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='A0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='A1/TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='A2/TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/A3/VREF-/VeREF-/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SMCLK/A4/VREF+/VeREF+/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TA0/A5/SCLK/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TA1/A6/SDO/SCL/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='A7/SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430F2002IRSA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='16pin QFN, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2012IRSA'],pins=[ Pin(num='1',name='A0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='A1/TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='A2/TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='ADC10CLK/A3/VREF-/VeREF-/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='SMCLK/A4/VREF+/VeREF+/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TA0/A5/SCLK/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TA1/A6/SDO/SCL/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='A7/SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430F2003IN',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2013IN'],pins=[ Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TACLK/ACLK/A0+/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0/A0-/A4+/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA1/A1+/A4-/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='VREF/A1-/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SMCLK/A2+/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TA0/A2-/SCLK/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TA1/A3+/SDO/SCL/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='A3-/SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430F2003IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin TSSOP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2013IPW'],pins=[ Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TACLK/ACLK/A0+/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0/A0-/A4+/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA1/A1+/A4-/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='VREF/A1-/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SMCLK/A2+/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TA0/A2-/SCLK/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TA1/A3+/SDO/SCL/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='A3-/SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430F2003IRSA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='16pin QFN, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2013IRSA'],pins=[ Pin(num='1',name='TACLK/ACLK/A0+/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0/A0-/A4+/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA1/A1+/A4-/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VREF/A1-/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='SMCLK/A2+/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TA0/A2-/SCLK/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TA1/A3+/SDO/SCL/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='A3-/SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430F2101IDGV',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin TVSOP, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2111IDGV', 'MSP430F2121IDGV', 'MSP430F2131IDGV'],pins=[ Pin(num='1',name='TEST',do_erc=True), Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='P2.5/CA5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='P2.7/XOUT/CA7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P2.6/XIN/CA6',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='~RST~/NMI',do_erc=True), Pin(num='8',name='P2.0/ACLK/CA2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/INCLK/CA3',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/CAOUT/TA0/CA4',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P2.3/TA1/CA0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/TA2/CA1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA1/TCLK/TDI/P1.6',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F2101IDW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin SOWB, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2111IDW', 'MSP430F2121IDW', 'MSP430F2131IDW'],pins=[ Pin(num='1',name='TEST',do_erc=True), Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='P2.5/CA5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='P2.7/XOUT/CA7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P2.6/XIN/CA6',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='~RST~/NMI',do_erc=True), Pin(num='8',name='P2.0/ACLK/CA2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/INCLK/CA3',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/CAOUT/TA0/CA4',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P2.3/TA1/CA0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/TA2/CA1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA1/TCLK/TDI/P1.6',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F2101IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin TSSOP, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2111IPW', 'MSP430F2121IPW', 'MSP430F2131IPW'],pins=[ Pin(num='1',name='TEST',do_erc=True), Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='P2.5/CA5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='P2.7/XOUT/CA7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P2.6/XIN/CA6',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='~RST~/NMI',do_erc=True), Pin(num='8',name='P2.0/ACLK/CA2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/INCLK/CA3',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/CAOUT/TA0/CA4',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P2.3/TA1/CA0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/TA2/CA1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA1/TCLK/TDI/P1.6',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F2101IRGE',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin QFN, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2111IRGE', 'MSP430F2121IRGE', 'MSP430F2131IRGE'],pins=[ Pin(num='2',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='P2.7/XOUT/CA7',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P2.6/XIN/CA6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='~RST~/NMI',do_erc=True), Pin(num='6',name='P2.0/ACLK/CA2',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P2.1/INCLK/CA3',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.2/CAOUT/TA0/CA4',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.3/TA1/CA0',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA1/TCLK/TDI/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P2.4/TA2/CA1',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TEST',do_erc=True), Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='P2.5/CA5',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F2112IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='28pin TSSOP, 8KB + 256B Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2122IPW', 'MSP430F2132IPW'],pins=[ Pin(num='1',name='SBWTCK/TEST',do_erc=True), Pin(num='2',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='CA5/Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='CA7/XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='CA6/XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='~RST~/NMI/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='CA2/ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='CA3/TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='CAOUT/CA4/TA0.0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='CA1/TA0.2/A4/VREF+/VeREF+/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='CAOUT/TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA1.0/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P3.6/A6/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TA0.1/TDI/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='P3.7/A7/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TA0.2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='CA0/TA0.1/A3/VREF-/VeREF-/P2.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F2112IRHB',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='32pin QFN, 8KB + 256B Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2122IRHB', 'MSP430F2132IRHB'],pins=[ Pin(num='1',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='CA7/XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='CA6/XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='~RST~/NMI/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='CA2/ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='CA3/TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='CAOUT/CA4/TA0.0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='CAOUT/TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA1.0/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='CA5/Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P3.6/A6/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P3.7/A7/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TA0.1/TDI/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='CA0/TA0.1/A3/VREF-/VeREF-/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TA0.2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='CA1/TA0.2/A4/VREF+/VeREF+/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='SBWTCK/TEST',do_erc=True)]), Part(name='MSP430F2112IRTV',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='32pin QFN, 8KB + 256B Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2122IRTV', 'MSP430F2132IRTV'],pins=[ Pin(num='1',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='CA7/XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='CA6/XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='~RST~/NMI/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='CA2/ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='CA3/TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='CAOUT/CA4/TA0.0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='CAOUT/TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA1.0/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='CA5/Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P3.6/A6/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P3.7/A7/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TA0.1/TDI/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='CA0/TA0.1/A3/VREF-/VeREF-/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TA0.2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='CA1/TA0.2/A4/VREF+/VeREF+/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='SBWTCK/TEST',do_erc=True)]), Part(name='MSP430F2232IDA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='38pin TSSOP, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2252IDA', 'MSP430F2272IDA'],pins=[ Pin(num='1',name='SBWTCK/TEST',do_erc=True), Pin(num='2',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='~RST~/NMI/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P4.3/TB0/A12',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA2/A4/VREF+/VeREF+/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P4.4/TB1/A13',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='P4.5/TB2/A14',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='P4.6/TBOUTH/A15',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='25',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='26',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='P3.6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='TA1/TDI/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='P3.7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TA1/A3/VREF-/VeREF-/P2.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F2232IRHA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='40pin QFN, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2252IRHA', 'MSP430F2272IRHA'],pins=[ Pin(num='1',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='6',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P4.5/TB2/A14',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='ROSC/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P4.6/TBOUTH/A15',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='23',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='24',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='P3.6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='TA1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='P3.7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='TA2/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TA1/VREF-/VeREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='TEST/SBWTCK',do_erc=True), Pin(num='18',name='P4.3/TB0/A12',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TA2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='19',name='P4.4/TB1/A13',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='P1.0/TACLK/ADC10CLK',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430F2232IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='49ball BGA, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2252IYFF', 'MSP430F2272IYFF'],pins=[ Pin(num='A1',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='C1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='D1',name='SBWTCK/TEST',do_erc=True), Pin(num='E1',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='F1',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='A2',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='C2',name='ROSC/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='TA2/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='F2',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='G2',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='B3',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='C3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='D3',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='E3',name='TA1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='F3',name='TA1/VREF-/VeREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='G3',name='TA2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='A4',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='C4',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='D4',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='E4',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='F4',name='P3.6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='G4',name='P3.7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='B5',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True), Pin(num='C5',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='D5',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='E5',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='F5',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True), Pin(num='G5',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='A6',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='B6',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='C6',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='D6',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='E6',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='F6',name='P4.5/TB2/A14',func=Pin.BIDIR,do_erc=True), Pin(num='G6',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='A7',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='B7',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='C7',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='D7',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='P4.3/TB0/A12',func=Pin.BIDIR,do_erc=True), Pin(num='F7',name='P4.4/TB1/A13',func=Pin.BIDIR,do_erc=True), Pin(num='G7',name='P4.6/TBOUTH/A15',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F2234IDA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='38pin TSSOP, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2254IDA', 'MSP430F2274IDA'],pins=[ Pin(num='1',name='SBWTCK/TEST',do_erc=True), Pin(num='2',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='~RST~/NMI/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='ACLK/A0/OA0I0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TAINCLK/SMCLK/A1/OA0O/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA0/A2/OA0I1/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P4.3/TB0/A12/OA0O',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA2/A4/VREF+/VeREF+/OA1I0/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P4.4/TB1/A13/OA1O',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='P4.5/TB2/A14/OA0I3',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='P4.6/TBOUTH/A15/OA1I3',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='25',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='26',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='P3.6/A6/OA0I2',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='TA1/TDI/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='P3.7/A7/OA1I2',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TA1/A3/VREF-/VeREF-/OA1I1/OA1O/P2.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F2234IRHA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='40pin QFN, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2254IRHA', 'MSP430F2274IRHA'],pins=[ Pin(num='1',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='~RST~/NMI/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='ACLK/A0/OA0I0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TAINCLK/SMCLK/A1/OA0O/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TA0/A2/OA0I1/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P4.5/TB2/A14/OA0I3',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P4.6/TBOUTH/A15/OA1I3',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='23',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='24',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='P3.6/A6/OA0I2',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='TA1/TDI/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='P3.7/A7/OA1I2',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TA1/A3/VREF-/VeREF-/OA1I1/OA1O/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='P4.3/TB0/A12/OA0O',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TA2/A4/VREF+/VeREF+/OA1I0/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='19',name='P4.4/TB1/A13/OA1O',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430F2234IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='49ball BGA, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2254IYFF', 'MSP430F2274IYFF'],pins=[ Pin(num='A1',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='C1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='D1',name='SBWTCK/TEST',do_erc=True), Pin(num='E1',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='F1',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='A2',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='C2',name='ROSC/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='TA2/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='F2',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='G2',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='B3',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='C3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='D3',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='E3',name='TA1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='F3',name='TA1/VREF-/VeREF-/OA1I1/OA1O/A3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='G3',name='TA2/VREF+/VeREF+/OA1I0/A4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='A4',name='ACLK/A0/OA0I0/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='TAINCLK/SMCLK/OA0O/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='C4',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='D4',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='E4',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='F4',name='P3.6/A6/OA0I2',func=Pin.BIDIR,do_erc=True), Pin(num='G4',name='P3.7/A7/OA1I2',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='TA0/OA0I1/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='B5',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True), Pin(num='C5',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='D5',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='E5',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='F5',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True), Pin(num='G5',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='A6',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='B6',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='C6',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='D6',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='E6',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='F6',name='P4.5/TB2/A14/OA0I3',func=Pin.BIDIR,do_erc=True), Pin(num='G6',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='A7',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='B7',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='C7',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='D7',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='P4.3/TB0/A12/OA0O',func=Pin.BIDIR,do_erc=True), Pin(num='F7',name='P4.4/TB1/A13/OA1O',func=Pin.BIDIR,do_erc=True), Pin(num='G7',name='P4.6/TBOUTH/A15/OA1I3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F2330IRHA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='40pin QFN, 32KB + 256B Flash Memory, 2KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2350IRHA', 'MSP430F2370IRHA'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='XIN/CA6/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='XOUT/CA7/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='SMCLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='P4.4/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='P4.5/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='ACLK/CA2/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='P4.6/TBOUTH/ACLK',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='TAINCLK/CA3/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TA0/CAOUT/CA4/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='TDO/TDI',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA1/CA0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='TDI/TCLK',do_erc=True), Pin(num='16',name='TA2/CA1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='TMS',do_erc=True), Pin(num='17',name='ROSC/CA5/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='TCK',do_erc=True), Pin(num='18',name='P3.0/UCB0STE/UCA0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='~RST~/NMI',do_erc=True), Pin(num='19',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='P4.3/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430F2330IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='49ball BGA, 32KB + 256B Flash Memory, 2KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2350IYFF', 'MSP430F2370IYFF'],pins=[ Pin(num='A1',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='B1',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='C1',name='TCK',do_erc=True), Pin(num='D1',name='TDI/TCLK',do_erc=True), Pin(num='E1',name='TDO/TDI',func=Pin.BIDIR,do_erc=True), Pin(num='F1',name='P4.5/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='P4.4/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='A2',name='XIN/CA6/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='C2',name='~RST~/NMI',do_erc=True), Pin(num='D2',name='TMS',do_erc=True), Pin(num='E2',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True), Pin(num='F2',name='P4.6/TBOUTH/ACLK',func=Pin.BIDIR,do_erc=True), Pin(num='G2',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='XOUT/CA7/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='B3',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='F3',name='P4.3/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='G3',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='C4',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='F4',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='G4',name='P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='B5',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='C5',name='ACLK/CA2/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='F5',name='P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='G5',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='A6',name='SMCLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='B6',name='TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='C6',name='TA0/CAOUT/CA4/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='D6',name='TA2/CA1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='E6',name='P3.0/UCB0STE/UCA0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='F6',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='G6',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='A7',name='TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='B7',name='TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='C7',name='TAINCLK/CA3/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='D7',name='TA1/CA0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='ROSC/CA5/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='F7',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='G7',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5217IRGC',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64pin QFN, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5219IRGC'],pins=[ Pin(num='1',name='P6.0/CB0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.1/CB1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.2/CB2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.3/CB3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P6.4/CB4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P6.5/CB5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P6.6/CB6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P6.7/CB7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P5.0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P5.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='DVIO',func=Pin.PWRIN,do_erc=True), Pin(num='50',name='P7.1/TB0.1',func=Pin.BIDIR,do_erc=True), Pin(num='60',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='51',name='P7.2/TB0.2',func=Pin.BIDIR,do_erc=True), Pin(num='61',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='52',name='P7.3/TB0.3',func=Pin.BIDIR,do_erc=True), Pin(num='62',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='53',name='P7.4/TB0.4',func=Pin.BIDIR,do_erc=True), Pin(num='63',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='24',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='54',name='P7.5/TB0.5',func=Pin.BIDIR,do_erc=True), Pin(num='64',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='25',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='55',name='BSLEN',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='26',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='56',name='~RST~/NMI',do_erc=True), Pin(num='17',name='VCORE',func=Pin.PWRIN,do_erc=True), Pin(num='27',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='47',name='P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='57',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TA2CLK/SMCLK/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='58',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='49',name='P7.0/TB0.0',func=Pin.BIDIR,do_erc=True), Pin(num='59',name='SBWTCK/TEST',do_erc=True)]), Part(name='MSP430F5217IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64ball BGA, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5219IYFF'],pins=[ Pin(num='A1',name='P6.1/CB1',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='B1',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='D1',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='E1',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='F1',name='P7.5/TB0.5',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='P7.3/TB0.3',func=Pin.BIDIR,do_erc=True), Pin(num='H1',name='P7.0/TB0.0',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='P6.2/CB2',func=Pin.BIDIR,do_erc=True), Pin(num='C2',name='P6.0/CB0',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='BSLEN',func=Pin.BIDIR,do_erc=True), Pin(num='F2',name='P7.4/TB0.4',func=Pin.BIDIR,do_erc=True), Pin(num='G2',name='P7.1/TB0.1',func=Pin.BIDIR,do_erc=True), Pin(num='H2',name='P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='P6.7/CB7',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='B3',name='P6.5/CB5',func=Pin.BIDIR,do_erc=True), Pin(num='C3',name='P6.3/CB3',func=Pin.BIDIR,do_erc=True), Pin(num='E3',name='~RST~/NMI',do_erc=True), Pin(num='F3',name='P7.2/TB0.2',func=Pin.BIDIR,do_erc=True), Pin(num='G3',name='P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='H3',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='A4',name='P5.1',func=Pin.BIDIR,do_erc=True), Pin(num='A4',name='P6.4/CB4',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='P5.0',func=Pin.BIDIR,do_erc=True), Pin(num='C4',name='P6.6/CB6',func=Pin.BIDIR,do_erc=True), Pin(num='C4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='D4',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='E4',name='SBWTCK/TEST',do_erc=True), Pin(num='F4',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='G4',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='H4',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='B5',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='C5',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='D5',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='E5',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='F5',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='G5',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='H5',name='DVIO',func=Pin.PWRIN,do_erc=True), Pin(num='A6',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='C6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='D6',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='G6',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='H6',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='A7',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='B7',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='C7',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='D7',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='TA2CLK/SMCLK/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='F7',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='G7',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='J7',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='A8',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='B8',name='VCORE',func=Pin.PWRIN,do_erc=True), Pin(num='C8',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='D8',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='E8',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='F8',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='G8',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='H8',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5227IRGC',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64pin QFN, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5229IRGC'],pins=[ Pin(num='1',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='DVIO',func=Pin.PWRIN,do_erc=True), Pin(num='50',name='P7.1/TB0.1',func=Pin.BIDIR,do_erc=True), Pin(num='60',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='51',name='P7.2/TB0.2',func=Pin.BIDIR,do_erc=True), Pin(num='61',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='52',name='P7.3/TB0.3',func=Pin.BIDIR,do_erc=True), Pin(num='62',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='53',name='P7.4/TB0.4',func=Pin.BIDIR,do_erc=True), Pin(num='63',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='24',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='54',name='P7.5/TB0.5',func=Pin.BIDIR,do_erc=True), Pin(num='64',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='25',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='55',name='BSLEN',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='26',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='56',name='~RST~/NMI',do_erc=True), Pin(num='17',name='VCORE',func=Pin.PWRIN,do_erc=True), Pin(num='27',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='47',name='P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='57',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TA2CLK/SMCLK/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='58',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='49',name='P7.0/TB0.0',func=Pin.BIDIR,do_erc=True), Pin(num='59',name='SBWTCK/TEST',do_erc=True)]), Part(name='MSP430F5227IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64ball BGA, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5229IYFF'],pins=[ Pin(num='A1',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='B1',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='D1',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='E1',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='F1',name='P7.5/TB0.5',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='P7.3/TB0.3',func=Pin.BIDIR,do_erc=True), Pin(num='H1',name='P7.0/TB0.0',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='C2',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='BSLEN',func=Pin.BIDIR,do_erc=True), Pin(num='F2',name='P7.4/TB0.4',func=Pin.BIDIR,do_erc=True), Pin(num='G2',name='P7.1/TB0.1',func=Pin.BIDIR,do_erc=True), Pin(num='H2',name='P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='B3',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='C3',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='E3',name='~RST~/NMI',do_erc=True), Pin(num='F3',name='P7.2/TB0.2',func=Pin.BIDIR,do_erc=True), Pin(num='G3',name='P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='H3',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='A4',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='A4',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='C4',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='C4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='D4',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='E4',name='SBWTCK/TEST',do_erc=True), Pin(num='F4',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='G4',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='H4',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='B5',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='C5',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='D5',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='E5',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='F5',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='G5',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='H5',name='DVIO',func=Pin.PWRIN,do_erc=True), Pin(num='A6',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='C6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='D6',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='G6',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='H6',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='A7',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='B7',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='C7',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='D7',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='TA2CLK/SMCLK/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='F7',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='G7',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='J7',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='A8',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='B8',name='VCORE',func=Pin.PWRIN,do_erc=True), Pin(num='C8',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='D8',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='E8',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='F8',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='G8',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='H8',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5232IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430F2534, 48pin QFN, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5234IRGZ'],pins=[ Pin(num='1',name='P6.3/CB3',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.4/CB4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.5/CB5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P5.0',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P5.1',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='10',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='20',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='SBWTCK/TEST',do_erc=True), Pin(num='11',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='VCORE',func=Pin.PASSIVE,do_erc=True), Pin(num='22',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='P6.0/CB0',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='37',name='~RST~/NMI',do_erc=True), Pin(num='47',name='P6.1/CB1',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='P6.2/CB2',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5237IRGC',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64pin QFN, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5239IRGC'],pins=[ Pin(num='1',name='P6.0/CB0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.1/CB1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.2/CB2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.3/CB3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P6.4/CB4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P6.5/CB5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P6.6/CB6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P6.7/CB7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P5.0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P5.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='50',name='P7.1/TB0.1',func=Pin.BIDIR,do_erc=True), Pin(num='60',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='51',name='P7.2/TB0.2',func=Pin.BIDIR,do_erc=True), Pin(num='61',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='52',name='P7.3/TB0.3',func=Pin.BIDIR,do_erc=True), Pin(num='62',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='53',name='P7.4/TB0.4',func=Pin.BIDIR,do_erc=True), Pin(num='63',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='24',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='54',name='P7.5/TB0.5',func=Pin.BIDIR,do_erc=True), Pin(num='64',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='25',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='26',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='56',name='~RST~/NMI',do_erc=True), Pin(num='17',name='VCORE',func=Pin.PWRIN,do_erc=True), Pin(num='27',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='47',name='P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='57',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='SMCLK/TA2CLK/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='58',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='49',name='P7.0/TB0.0',func=Pin.BIDIR,do_erc=True), Pin(num='59',name='SBWTCK/TEST',do_erc=True)]), Part(name='MSP430F5242IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430F2544, 48pin QFN, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5244IRGZ'],pins=[ Pin(num='1',name='P6.3/A3/CB3',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.4/A4/CB4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.5/A5/CB5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='10',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='20',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='SBWTCK/TEST',do_erc=True), Pin(num='11',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='VCORE',func=Pin.PASSIVE,do_erc=True), Pin(num='22',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='P6.0/A0/CB0',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='37',name='~RST~/NMI',do_erc=True), Pin(num='47',name='P6.1/A1/CB1',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='P6.2/A2/CB2',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA1CLK/CBOUT/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5247IRGC',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64pin QFN, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5249IRGC'],pins=[ Pin(num='1',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='50',name='P7.1/TB0.1',func=Pin.BIDIR,do_erc=True), Pin(num='60',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='51',name='P7.2/TB0.2',func=Pin.BIDIR,do_erc=True), Pin(num='61',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='52',name='P7.3/TB0.3',func=Pin.BIDIR,do_erc=True), Pin(num='62',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='53',name='P7.4/TB0.4',func=Pin.BIDIR,do_erc=True), Pin(num='63',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='24',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='54',name='P7.5/TB0.5',func=Pin.BIDIR,do_erc=True), Pin(num='64',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='25',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='26',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='56',name='~RST~/NMI',do_erc=True), Pin(num='17',name='VCORE',func=Pin.PWRIN,do_erc=True), Pin(num='27',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='47',name='P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='57',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='SMCLK/TA2CLK/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='58',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='49',name='P7.0/TB0.0',func=Pin.BIDIR,do_erc=True), Pin(num='59',name='SBWTCK/TEST',do_erc=True)]), Part(name='MSP430F5304IPT',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin LQFN, 8KB Flash Memory, 6KB RAM',ref_prefix='U',num_units=1,do_erc=True,pins=[ Pin(num='1',name='P6.0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='20',name='TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='PU.1',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='LDOI',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='LDOO',func=Pin.PWROUT,do_erc=True), Pin(num='13',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='47',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='PU.0',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5304IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin QFN, 8KB Flash Memory, 6KB RAM',ref_prefix='U',num_units=1,do_erc=True,pins=[ Pin(num='1',name='P6.0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='20',name='TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='PU.1',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='LDOI',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='LDOO',func=Pin.PWROUT,do_erc=True), Pin(num='13',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='47',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='PU.0',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5308IPT',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin LQFN, 32KB Flash Memory, 6KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5309IPT', 'MSP430F5310IPT'],pins=[ Pin(num='1',name='P6.0/A0/CB0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.1/A1/CB1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.2/A2/CB2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.3/A3/CB3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='20',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='PU.1',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='LDOI',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='LDOO',func=Pin.PWROUT,do_erc=True), Pin(num='13',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='47',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='PU.0',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5308IRGC',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64pin QFN, 32KB Flash Memory, 6KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5309IRGC', 'MSP430F5310IRGC'],pins=[ Pin(num='1',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='50',name='PU.0',func=Pin.BIDIR,do_erc=True), Pin(num='60',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='61',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='52',name='PU.1',func=Pin.BIDIR,do_erc=True), Pin(num='62',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='53',name='LDOI',func=Pin.PWRIN,do_erc=True), Pin(num='63',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='24',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='54',name='LDOO',func=Pin.PWROUT,do_erc=True), Pin(num='64',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='15',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='25',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='26',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='56',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='17',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='47',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='57',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='SMCLK/TA2CLK/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='58',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='49',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='59',name='SBWTCK/TEST',do_erc=True)]), Part(name='MSP430F5308IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin QFN, 32KB Flash Memory, 6KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5309IRGZ', 'MSP430F5310IRGZ'],pins=[ Pin(num='1',name='P6.0/A0/CB0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.1/A1/CB1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.2/A2/CB2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.3/A3/CB3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='20',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='PU.1',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='LDOI',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='LDOO',func=Pin.PWROUT,do_erc=True), Pin(num='13',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='47',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='PU.0',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5308IZQE',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='80ball BGA, 32KB Flash Memory, 6KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5309IZQE', 'MSP430F5310IZQE'],pins=[ Pin(num='A1',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='C1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='D1',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='E1',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='F1',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='H1',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='J1',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='A2',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='B2',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='C2',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='F2',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='G2',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='H2',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='J2',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='B3',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='D3',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='E3',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F3',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G3',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='J3',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='A4',name='SBWTCK/TEST',do_erc=True), Pin(num='B4',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='C4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='D4',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='E4',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G4',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='H4',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='J4',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='B5',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='C5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='D5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G5',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='H5',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='J5',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='A6',name='LDOO',func=Pin.PWROUT,do_erc=True), Pin(num='C6',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='D6',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F6',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G6',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='H6',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='J6',name='SMCLK/TA2CLK/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='A7',name='LDOI',func=Pin.PWRIN,do_erc=True), Pin(num='C7',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='D7',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='F7',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G7',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='J7',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='A8',name='PU.1',func=Pin.BIDIR,do_erc=True), Pin(num='B8',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C8',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='D8',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='E8',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G8',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='H8',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='J8',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='A9',name='PU.0',func=Pin.BIDIR,do_erc=True), Pin(num='B9',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C9',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='D9',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='E9',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='F9',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='G9',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='H9',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='J9',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5333IPZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='100pin VQFP, 256KB Flash Memory, 18KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5335IPZ'],pins=[ Pin(num='1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P7.6/CB10/A14',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P7.7/CB11/A15',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='50',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='60',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='70',name='P9.2',func=Pin.BIDIR,do_erc=True), Pin(num='80',name='LDOI',func=Pin.BIDIR,do_erc=True), Pin(num='90',name='DVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='P5.3',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='51',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='61',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='71',name='P9.3',func=Pin.BIDIR,do_erc=True), Pin(num='81',name='LDOO',func=Pin.BIDIR,do_erc=True), Pin(num='91',name='TEST/SBWTCK',do_erc=True), Pin(num='12',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='P5.4',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='52',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='62',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True), Pin(num='72',name='P9.4',func=Pin.BIDIR,do_erc=True), Pin(num='92',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='XIN',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='P5.5',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='53',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='63',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='73',name='P9.5',func=Pin.BIDIR,do_erc=True), Pin(num='83',name='AVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='93',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='54',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='64',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='74',name='P9.6',func=Pin.BIDIR,do_erc=True), Pin(num='84',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='94',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='25',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='35',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='55',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='65',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True), Pin(num='75',name='P9.7',func=Pin.BIDIR,do_erc=True), Pin(num='85',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='95',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='ADC12CLK/DMAE0/P5.6',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='36',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='56',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='66',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True), Pin(num='76',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='86',name='VBAK',func=Pin.BIDIR,do_erc=True), Pin(num='96',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='47',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True), Pin(num='57',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='67',name='P8.7',func=Pin.BIDIR,do_erc=True), Pin(num='77',name='PU.0',func=Pin.BIDIR,do_erc=True), Pin(num='87',name='VBAT',func=Pin.BIDIR,do_erc=True), Pin(num='97',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='P5.2',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='58',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='68',name='P9.0',func=Pin.BIDIR,do_erc=True), Pin(num='88',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True), Pin(num='98',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='39',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='49',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='59',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='69',name='P9.1',func=Pin.BIDIR,do_erc=True), Pin(num='79',name='PU.1',func=Pin.BIDIR,do_erc=True), Pin(num='89',name='DVCC3',func=Pin.PWRIN,do_erc=True), Pin(num='99',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='100',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5333IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 256KB Flash Memory, 18KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5335IZQW'],pins=[ Pin(num='A1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='C1',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True), Pin(num='D1',name='P7.7/CB11/A15',func=Pin.BIDIR,do_erc=True), Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F1',name='XIN',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='H1',name='ADC12CLK/DMAE0/P5.6',func=Pin.BIDIR,do_erc=True), Pin(num='J1',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='K1',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='A2',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='C2',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='P7.6/CB10/A14',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H2',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='J2',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='K2',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='L2',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='M2',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='B3',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='C3',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True), Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True), Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='D4',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True), Pin(num='E4',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True), Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G4',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='H4',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True), Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='D5',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True), Pin(num='L5',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='M5',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True), Pin(num='B6',name='TEST/SBWTCK',do_erc=True), Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='J6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='L6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='M6',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='A7',name='VBAK',func=Pin.BIDIR,do_erc=True), Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='D7',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='J7',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='L7',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='M7',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='D8',name='VBAT',func=Pin.BIDIR,do_erc=True), Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J8',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='L8',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='M8',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='A9',name='LDOO',func=Pin.BIDIR,do_erc=True), Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True), Pin(num='E9',name='P9.4',func=Pin.BIDIR,do_erc=True), Pin(num='F9',name='P9.1',func=Pin.BIDIR,do_erc=True), Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True), Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J9',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='L9',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='M9',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True), Pin(num='A10',name='LDOI',func=Pin.BIDIR,do_erc=True), Pin(num='L10',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='M10',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='A11',name='PU.1',func=Pin.BIDIR,do_erc=True), Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C11',name='P9.6',func=Pin.BIDIR,do_erc=True), Pin(num='D11',name='P9.3',func=Pin.BIDIR,do_erc=True), Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True), Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True), Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True), Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K11',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='L11',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='M11',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='A12',name='PU.0',func=Pin.BIDIR,do_erc=True), Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C12',name='P9.5',func=Pin.BIDIR,do_erc=True), Pin(num='D12',name='P9.2',func=Pin.BIDIR,do_erc=True), Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True), Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K12',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='L12',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='M12',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5336IPZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='100pin VQFP, 256KB Flash Memory, 18KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5338IPZ'],pins=[ Pin(num='1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.6/CB6/A6/DAC0',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.7/CB7/A7/DAC1',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P7.6/CB10/A14/DAC0',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P7.7/CB11/A15/DAC1',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='50',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='60',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='70',name='P9.2',func=Pin.BIDIR,do_erc=True), Pin(num='80',name='LDOI',func=Pin.BIDIR,do_erc=True), Pin(num='90',name='DVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='P5.3',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='51',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='61',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='71',name='P9.3',func=Pin.BIDIR,do_erc=True), Pin(num='81',name='LDOO',func=Pin.BIDIR,do_erc=True), Pin(num='91',name='TEST/SBWTCK',do_erc=True), Pin(num='12',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='P5.4',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='52',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='62',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True), Pin(num='72',name='P9.4',func=Pin.BIDIR,do_erc=True), Pin(num='92',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='XIN',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='P5.5',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='53',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='63',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='73',name='P9.5',func=Pin.BIDIR,do_erc=True), Pin(num='83',name='AVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='93',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='54',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='64',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='74',name='P9.6',func=Pin.BIDIR,do_erc=True), Pin(num='84',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='94',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='25',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='35',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='55',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='65',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True), Pin(num='75',name='P9.7',func=Pin.BIDIR,do_erc=True), Pin(num='85',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='95',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='ADC12CLK/DMAE0/P5.6',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='36',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='56',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='66',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True), Pin(num='76',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='86',name='VBAK',func=Pin.BIDIR,do_erc=True), Pin(num='96',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='47',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True), Pin(num='57',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='67',name='P8.7',func=Pin.BIDIR,do_erc=True), Pin(num='77',name='PU.0',func=Pin.BIDIR,do_erc=True), Pin(num='87',name='VBAT',func=Pin.BIDIR,do_erc=True), Pin(num='97',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='P5.2',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='58',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='68',name='P9.0',func=Pin.BIDIR,do_erc=True), Pin(num='88',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True), Pin(num='98',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='39',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='49',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='59',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='69',name='P9.1',func=Pin.BIDIR,do_erc=True), Pin(num='79',name='PU.1',func=Pin.BIDIR,do_erc=True), Pin(num='89',name='DVCC3',func=Pin.PWRIN,do_erc=True), Pin(num='99',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='100',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5336IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 128KB Flash Memory, 18KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5338IZQW'],pins=[ Pin(num='A1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='P6.6/CB6/A6/DAC0',func=Pin.BIDIR,do_erc=True), Pin(num='C1',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True), Pin(num='D1',name='P7.7/CB11/A15/DAC0',func=Pin.BIDIR,do_erc=True), Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F1',name='XIN',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='H1',name='ADC12CLK/DMAE0/P5.6',func=Pin.BIDIR,do_erc=True), Pin(num='J1',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='K1',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='A2',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='C2',name='P6.7/CB7/A7/DAC1',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='P7.6/CB10/A14/DAC0',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H2',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='J2',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='K2',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='L2',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='M2',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='B3',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='C3',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True), Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True), Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='D4',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True), Pin(num='E4',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True), Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G4',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='H4',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True), Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='D5',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True), Pin(num='L5',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='M5',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True), Pin(num='B6',name='TEST/SBWTCK',do_erc=True), Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='J6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='L6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='M6',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='A7',name='VBAK',func=Pin.BIDIR,do_erc=True), Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='D7',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='J7',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='L7',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='M7',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='D8',name='VBAT',func=Pin.BIDIR,do_erc=True), Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J8',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='L8',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='M8',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='A9',name='LDOO',func=Pin.BIDIR,do_erc=True), Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True), Pin(num='E9',name='P9.4',func=Pin.BIDIR,do_erc=True), Pin(num='F9',name='P9.1',func=Pin.BIDIR,do_erc=True), Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True), Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J9',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='L9',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='M9',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True), Pin(num='A10',name='LDOI',func=Pin.BIDIR,do_erc=True), Pin(num='L10',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='M10',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='A11',name='PU.1',func=Pin.BIDIR,do_erc=True), Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C11',name='P9.6',func=Pin.BIDIR,do_erc=True), Pin(num='D11',name='P9.3',func=Pin.BIDIR,do_erc=True), Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True), Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True), Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True), Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K11',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='L11',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='M11',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='A12',name='PU.0',func=Pin.BIDIR,do_erc=True), Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C12',name='P9.5',func=Pin.BIDIR,do_erc=True), Pin(num='D12',name='P9.2',func=Pin.BIDIR,do_erc=True), Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True), Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K12',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='L12',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='M12',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5340IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430F5340, 48pin QFN, 128KB Flash Memory, 10KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5341IRGZ', 'MSP430F5342IRGZ'],pins=[ Pin(num='1',name='P6.3/A3/CB3',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.4/A4/CB4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.5/A5/CB5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P5.0/A8/VREF+/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P5.1/A9/VREF-/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='10',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='20',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='41',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='VCORE',func=Pin.PASSIVE,do_erc=True), Pin(num='22',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='42',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='P5.7/TB0.1',func=Pin.BIDIR,do_erc=True), Pin(num='47',name='P6.1/A1/CB1',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='DVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='48',name='P6.2/A2/CB2',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='TA1CLK/CBOUT/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5358IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 512KB Flash Memory, 66KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5359IZQW'],pins=[ Pin(num='A1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='P6.6/CB6/A6/DAC0',func=Pin.BIDIR,do_erc=True), Pin(num='C1',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True), Pin(num='D1',name='P7.7/CB11/A15/DAC1',func=Pin.BIDIR,do_erc=True), Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F1',name='XIN',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='H1',name='P5.6/ADC12CLK/DMAE0',func=Pin.BIDIR,do_erc=True), Pin(num='J1',name='P2.2/P2MAP2',func=Pin.BIDIR,do_erc=True), Pin(num='K1',name='P2.5/P2MAP5',func=Pin.BIDIR,do_erc=True), Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='A2',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='C2',name='P6.7/CB7/A7/DAC1',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='P7.6/CB10/A14/DAC0',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H2',name='P2.1/P2MAP1',func=Pin.BIDIR,do_erc=True), Pin(num='J2',name='P2.4/P2MAP4',func=Pin.BIDIR,do_erc=True), Pin(num='K2',name='P2.6/P2MAP6',func=Pin.BIDIR,do_erc=True), Pin(num='L2',name='P2.7/P2MAP7',func=Pin.BIDIR,do_erc=True), Pin(num='M2',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='B3',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='C3',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True), Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True), Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='D4',name='P5.0/VREF+/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='E4',name='P5.1/VREF-/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G4',name='P2.0/P2MAP0',func=Pin.BIDIR,do_erc=True), Pin(num='H4',name='P2.3/P2MAP3',func=Pin.BIDIR,do_erc=True), Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True), Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='D5',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True), Pin(num='L5',name='P1.0/TA0CLK/ACLK',func=Pin.BIDIR,do_erc=True), Pin(num='M5',name='P1.1/TA0.0',func=Pin.BIDIR,do_erc=True), Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True), Pin(num='B6',name='TEST/SBWTCK',do_erc=True), Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H6',name='P1.3/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='J6',name='P1.2/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='L6',name='P1.5/TA0.4',func=Pin.BIDIR,do_erc=True), Pin(num='M6',name='P1.4/TA0.3',func=Pin.BIDIR,do_erc=True), Pin(num='A7',name='VBAK',func=Pin.BIDIR,do_erc=True), Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='D7',name='P5.7/RTCCLK',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='J7',name='P1.6/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='L7',name='P3.0/TA1CLK/CBOUT',func=Pin.BIDIR,do_erc=True), Pin(num='M7',name='P1.7/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='D8',name='VBAT',func=Pin.BIDIR,do_erc=True), Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J8',name='P3.4/TA2CLK/SMCLK',func=Pin.BIDIR,do_erc=True), Pin(num='L8',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='M8',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='A9',name='LDOO',func=Pin.BIDIR,do_erc=True), Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True), Pin(num='E9',name='P9.4/UCB2CLK/UCA2STE',func=Pin.BIDIR,do_erc=True), Pin(num='F9',name='P9.1/UCB2STE/UCA2CLK',func=Pin.BIDIR,do_erc=True), Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True), Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J9',name='P4.0/TB0.0',func=Pin.BIDIR,do_erc=True), Pin(num='L9',name='P3.6/TA2.1',func=Pin.BIDIR,do_erc=True), Pin(num='M9',name='P3.5/TA2.0',func=Pin.BIDIR,do_erc=True), Pin(num='A10',name='LDOI',func=Pin.BIDIR,do_erc=True), Pin(num='L10',name='P4.2/TB0.2',func=Pin.BIDIR,do_erc=True), Pin(num='M10',name='P3.7/TA2.2',func=Pin.BIDIR,do_erc=True), Pin(num='A11',name='PU.1',func=Pin.BIDIR,do_erc=True), Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C11',name='P9.6/UCB2SOMI/UCB2SCL',func=Pin.BIDIR,do_erc=True), Pin(num='D11',name='P9.3/UCA2RXD/UCA2SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True), Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True), Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True), Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K11',name='P4.6/TB0.6',func=Pin.BIDIR,do_erc=True), Pin(num='L11',name='P4.5/TB0.5',func=Pin.BIDIR,do_erc=True), Pin(num='M11',name='P4.1/TB0.1',func=Pin.BIDIR,do_erc=True), Pin(num='A12',name='PU.0',func=Pin.BIDIR,do_erc=True), Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C12',name='P9.5/UCB2SIMO/UCB2SDA',func=Pin.BIDIR,do_erc=True), Pin(num='D12',name='P9.2/UCA2TXD/UCA2SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True), Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K12',name='P4.7/TB0OUTH/SVMOUT',func=Pin.BIDIR,do_erc=True), Pin(num='L12',name='P4.4/TB0.4',func=Pin.BIDIR,do_erc=True), Pin(num='M12',name='P4.3/TB0.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5500IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin QFN, 32KB Flash Memory, 4 + 2KB SRAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5501IRGZ', 'MSP430F5502IRGZ', 'MSP430F5503IRGZ'],pins=[ Pin(num='1',name='P6.0/CB0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.1/CB1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.2/CB2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.3/CB3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P5.0/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P5.1/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='20',name='TA1CLK/CBOUT/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='PU.1/DM',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='VBUS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='VUSB',func=Pin.PWROUT,do_erc=True), Pin(num='13',name='VCORE',func=Pin.PASSIVE,do_erc=True), Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='V18',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='47',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='PU.0/DP',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='PUR',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5504IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin QFN, 32KB Flash Memory, 4 + 2KB SRAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5505IRGZ', 'MSP430F5506IRGZ', 'MSP430F5507IRGZ'],pins=[ Pin(num='1',name='P6.0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='20',name='TA1CLK/CBOUT/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='PU.1/DM',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='VBUS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='VUSB',func=Pin.PWROUT,do_erc=True), Pin(num='13',name='VCORE',func=Pin.PASSIVE,do_erc=True), Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='V18',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='47',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='PU.0/DP',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='PUR',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5508IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin QFN, 32KB Flash Memory, 4 + 2KB SRAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5509IRGZ', 'MSP430F5510IRGZ'],pins=[ Pin(num='1',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='20',name='TA1CLK/CBOUT/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='PU.1/DM',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='VBUS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='VUSB',func=Pin.PWROUT,do_erc=True), Pin(num='13',name='VCORE',func=Pin.PASSIVE,do_erc=True), Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='V18',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='47',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='PU.0/DP',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='PUR',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5524IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64ball BGA, 128KB Flash Memory, 8 + 2KB SRAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5526IYFF', 'MSP430F5528IYFF'],pins=[ Pin(num='A1',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='C1',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='D1',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='E1',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='F1',name='VUSB',func=Pin.PWROUT,do_erc=True), Pin(num='G1',name='PU.1/DM',func=Pin.BIDIR,do_erc=True), Pin(num='H1',name='PU.0/DP',func=Pin.BIDIR,do_erc=True), Pin(num='A2',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='C2',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='E2',name='V18',func=Pin.NOCONNECT,do_erc=True), Pin(num='F2',name='VBUS',func=Pin.PWRIN,do_erc=True), Pin(num='G2',name='PUR',func=Pin.BIDIR,do_erc=True), Pin(num='H2',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='A3',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='B3',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='C3',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='D3',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='E3',name='SBWTCK/TEST',do_erc=True), Pin(num='F3',name='P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='G3',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='H3',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='A4',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='B4',name='P5.0/A8/VREF+/VeREF+',func=Pin.BIDIR,do_erc=True), Pin(num='C4',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='D4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='E4',name='P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='F4',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True), Pin(num='G4',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='H4',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True), Pin(num='B5',name='P5.1/A9/VREF-/VeREF-',func=Pin.BIDIR,do_erc=True), Pin(num='C5',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='D5',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='E5',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='F5',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='G5',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='H5',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='A6',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='B6',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='C6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='D6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='E6',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='F6',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='G6',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='H6',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='A7',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='B7',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='C7',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='D7',name='TA1CLK/CBOUT/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='TA2CLK/SMCLK/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='F7',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='G7',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='A8',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='B8',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='C8',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='D8',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='E8',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='F8',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='G8',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='H8',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5630IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 256KB Flash Memory, 16 + 2KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5631IZQW', 'MSP430F5632IZQW'],pins=[ Pin(num='A1',name='P6.4/CB4',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='P6.6/CB6',func=Pin.BIDIR,do_erc=True), Pin(num='C1',name='P7.4/CB8',func=Pin.BIDIR,do_erc=True), Pin(num='D1',name='P7.7/CB11',func=Pin.BIDIR,do_erc=True), Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F1',name='XIN',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='H1',name='DMAE0/P5.6',func=Pin.BIDIR,do_erc=True), Pin(num='J1',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='K1',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='A2',name='P6.2/CB2',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='P6.5/CB5',func=Pin.BIDIR,do_erc=True), Pin(num='C2',name='P6.7/CB7',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='P7.6/CB10',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H2',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='J2',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='K2',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='L2',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='M2',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='B3',name='P6.1/CB1',func=Pin.BIDIR,do_erc=True), Pin(num='C3',name='P7.5/CB9',func=Pin.BIDIR,do_erc=True), Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True), Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='P6.0/CB0',func=Pin.BIDIR,do_erc=True), Pin(num='D4',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True), Pin(num='E4',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True), Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G4',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='H4',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True), Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='D5',name='P6.3/CB3',func=Pin.BIDIR,do_erc=True), Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True), Pin(num='L5',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='M5',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True), Pin(num='B6',name='SBWTCK/TEST',do_erc=True), Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='J6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='L6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='M6',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='A7',name='VBAK',func=Pin.BIDIR,do_erc=True), Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='D7',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='J7',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='L7',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='M7',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='D8',name='VBAT',func=Pin.BIDIR,do_erc=True), Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J8',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='L8',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='M8',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='A9',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='B9',name='V18',func=Pin.NOCONNECT,do_erc=True), Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True), Pin(num='E9',name='P9.4',func=Pin.BIDIR,do_erc=True), Pin(num='F9',name='P9.1',func=Pin.BIDIR,do_erc=True), Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True), Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J9',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='L9',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='M9',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True), Pin(num='A10',name='VBUS',func=Pin.BIDIR,do_erc=True), Pin(num='B10',name='PUR',func=Pin.BIDIR,do_erc=True), Pin(num='L10',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='M10',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='A11',name='PU.1/DM',func=Pin.BIDIR,do_erc=True), Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C11',name='P9.6',func=Pin.BIDIR,do_erc=True), Pin(num='D11',name='P9.3',func=Pin.BIDIR,do_erc=True), Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True), Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True), Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True), Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K11',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='L11',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='M11',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='A12',name='PU.0/DP',func=Pin.BIDIR,do_erc=True), Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C12',name='P9.5',func=Pin.BIDIR,do_erc=True), Pin(num='D12',name='P9.2',func=Pin.BIDIR,do_erc=True), Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True), Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K12',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='L12',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='M12',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5633IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 256KB Flash Memory, 16 + 2KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5634IZQW', 'MSP430F5635IZQW'],pins=[ Pin(num='A1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='C1',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True), Pin(num='D1',name='P7.7/CB11/A15',func=Pin.BIDIR,do_erc=True), Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F1',name='XIN',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='H1',name='ADC12CLK/DMAE0/P5.6',func=Pin.BIDIR,do_erc=True), Pin(num='J1',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='K1',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='A2',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='C2',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='P7.6/CB10/A14',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H2',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='J2',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='K2',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='L2',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='M2',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='B3',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='C3',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True), Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True), Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='D4',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True), Pin(num='E4',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True), Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G4',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='H4',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True), Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='D5',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True), Pin(num='L5',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='M5',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True), Pin(num='B6',name='SBWTCK/TEST',do_erc=True), Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='J6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='L6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='M6',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='A7',name='VBAK',func=Pin.BIDIR,do_erc=True), Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='D7',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='J7',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='L7',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='M7',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='D8',name='VBAT',func=Pin.BIDIR,do_erc=True), Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J8',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='L8',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='M8',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='A9',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='B9',name='V18',func=Pin.NOCONNECT,do_erc=True), Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True), Pin(num='E9',name='P9.4',func=Pin.BIDIR,do_erc=True), Pin(num='F9',name='P9.1',func=Pin.BIDIR,do_erc=True), Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True), Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J9',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='L9',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='M9',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True), Pin(num='A10',name='VBUS',func=Pin.BIDIR,do_erc=True), Pin(num='B10',name='PUR',func=Pin.BIDIR,do_erc=True), Pin(num='L10',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='M10',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='A11',name='PU.1/DM',func=Pin.BIDIR,do_erc=True), Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C11',name='P9.6',func=Pin.BIDIR,do_erc=True), Pin(num='D11',name='P9.3',func=Pin.BIDIR,do_erc=True), Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True), Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True), Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True), Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K11',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='L11',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='M11',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='A12',name='PU.0/DP',func=Pin.BIDIR,do_erc=True), Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C12',name='P9.5',func=Pin.BIDIR,do_erc=True), Pin(num='D12',name='P9.2',func=Pin.BIDIR,do_erc=True), Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True), Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K12',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='L12',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='M12',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5636IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 256KB Flash Memory, 16 + 2KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5637IZQW', 'MSP430F5638IZQW'],pins=[ Pin(num='A1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='P6.6/CB6/A6/DAC0',func=Pin.BIDIR,do_erc=True), Pin(num='C1',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True), Pin(num='D1',name='P7.7/CB11/A15/DAC1',func=Pin.BIDIR,do_erc=True), Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F1',name='XIN',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='H1',name='ADC12CLK/DMAE0/P5.6',func=Pin.BIDIR,do_erc=True), Pin(num='J1',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='K1',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='A2',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True), Pin(num='C2',name='P6.7/CB7/A7/DAC1',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='P7.6/CB10/A14/DAC0',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H2',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='J2',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='K2',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='L2',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='M2',name='VCORE',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='B3',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True), Pin(num='C3',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True), Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True), Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True), Pin(num='D4',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True), Pin(num='E4',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True), Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G4',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='H4',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True), Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='D5',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True), Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True), Pin(num='L5',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='M5',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True), Pin(num='B6',name='SBWTCK/TEST',do_erc=True), Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='J6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='L6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='M6',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='A7',name='VBAK',func=Pin.BIDIR,do_erc=True), Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='D7',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='J7',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='L7',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='M7',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='D8',name='VBAT',func=Pin.BIDIR,do_erc=True), Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J8',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='L8',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='M8',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='A9',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='B9',name='V18',func=Pin.NOCONNECT,do_erc=True), Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True), Pin(num='E9',name='P9.4',func=Pin.BIDIR,do_erc=True), Pin(num='F9',name='P9.1',func=Pin.BIDIR,do_erc=True), Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True), Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J9',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='L9',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='M9',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True), Pin(num='A10',name='VBUS',func=Pin.BIDIR,do_erc=True), Pin(num='B10',name='PUR',func=Pin.BIDIR,do_erc=True), Pin(num='L10',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='M10',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='A11',name='PU.1/DM',func=Pin.BIDIR,do_erc=True), Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C11',name='P9.6',func=Pin.BIDIR,do_erc=True), Pin(num='D11',name='P9.3',func=Pin.BIDIR,do_erc=True), Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True), Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True), Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True), Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K11',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='L11',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='M11',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='A12',name='PU.0/DP',func=Pin.BIDIR,do_erc=True), Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C12',name='P9.5',func=Pin.BIDIR,do_erc=True), Pin(num='D12',name='P9.2',func=Pin.BIDIR,do_erc=True), Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True), Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K12',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='L12',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='M12',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430F5658IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 512KB Flash Memory, 66KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5659IZQW'],pins=[ Pin(num='A1',name='P6.4/A4/CB4',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='P6.6/A6/DAC0/CB6',func=Pin.BIDIR,do_erc=True), Pin(num='C1',name='P7.4/A12/CB8',func=Pin.BIDIR,do_erc=True), Pin(num='D1',name='P7.7/A15/DAC1/CB11',func=Pin.BIDIR,do_erc=True), Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F1',name='XIN',do_erc=True), Pin(num='G1',name='XOUT',func=Pin.OUTPUT,do_erc=True), Pin(num='H1',name='DMAE0/ADC12CLK/P5.6',func=Pin.BIDIR,do_erc=True), Pin(num='J1',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='K1',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='A2',name='P6.2/A2/CB2',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='P6.5/A5/CB5',func=Pin.BIDIR,do_erc=True), Pin(num='C2',name='P6.7/A7/DAC1/CB7',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='P7.6/A14/DAC0/CB10',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True), Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True), Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H2',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='J2',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='K2',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='L2',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='M2',name='VCORE',func=Pin.PWRIN,do_erc=True), Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='B3',name='P6.1/A1/CB1',func=Pin.BIDIR,do_erc=True), Pin(num='C3',name='P7.5/A13/CB9',func=Pin.BIDIR,do_erc=True), Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True), Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='P6.0/A0/CB0',func=Pin.BIDIR,do_erc=True), Pin(num='D4',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True), Pin(num='E4',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True), Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G4',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='H4',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True), Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True), Pin(num='D5',name='P6.3/A3/CB3',func=Pin.BIDIR,do_erc=True), Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True), Pin(num='L5',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='M5',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True), Pin(num='B6',name='TEST/SBWTCK',do_erc=True), Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True), Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='J6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='L6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='M6',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='A7',name='VBAK',func=Pin.PASSIVE,do_erc=True), Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='D7',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True), Pin(num='H7',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True), Pin(num='J7',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='L7',name='CBOUT/TA1CLK/P3.0',func=Pin.BIDIR,do_erc=True), Pin(num='M7',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True), Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True), Pin(num='D8',name='VBAT',func=Pin.PASSIVE,do_erc=True), Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J8',name='SMCLK/TA2CLK/P3.4',func=Pin.BIDIR,do_erc=True), Pin(num='L8',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True), Pin(num='M8',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True), Pin(num='A9',name='VUSB',func=Pin.PASSIVE,do_erc=True), Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True), Pin(num='E9',name='P9.4/UCB2CLK/UCA2STE',func=Pin.BIDIR,do_erc=True), Pin(num='F9',name='P9.1/UCB2STE/UCA2CLK',func=Pin.BIDIR,do_erc=True), Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True), Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True), Pin(num='J9',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True), Pin(num='L9',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True), Pin(num='M9',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True), Pin(num='A10',name='VBUS',func=Pin.PASSIVE,do_erc=True), Pin(num='B10',name='PUR',func=Pin.BIDIR,do_erc=True), Pin(num='L10',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True), Pin(num='M10',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True), Pin(num='A11',name='PU.1/DM',func=Pin.BIDIR,do_erc=True), Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C11',name='P9.6/UCB2SOMI/UCB2SCL',func=Pin.BIDIR,do_erc=True), Pin(num='D11',name='P9.3/UCA2RXD/UCA2SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True), Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True), Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True), Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K11',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True), Pin(num='L11',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True), Pin(num='M11',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True), Pin(num='A12',name='PU.0/DP',func=Pin.BIDIR,do_erc=True), Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True), Pin(num='C12',name='P9.5/UCB2SIMO/UCB2SDA',func=Pin.BIDIR,do_erc=True), Pin(num='D12',name='P9.2/UCA2TXD/UCA2SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True), Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True), Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True), Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='K12',name='SVMOUT/TB0OUTH/P4.7',func=Pin.BIDIR,do_erc=True), Pin(num='L12',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True), Pin(num='M12',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430FR5720IRGE',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin QFN, 16KB FRAM Memory, 1KB SRAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430FR5724IRGE', 'MSP430FR5728IRGE', 'MSP430FR5730IRGE', 'MSP430FR5734IRGE', 'MSP430FR5738IRGE'],pins=[ Pin(num='1',name='TA0.1/DMAE0/RTCCLK/CD0/VeREF-/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.2/TA1CLK/CDOUT/CD1/VeREF+/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA1.1/TA0CLK/CDOUT/CD2/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA1.2/UCB0STE/CD3/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='TB0.1/UCA0STE/CD4/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TB0.2/UCA0CLK/CD5/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='PJ.0/TDO/TB0OUTH/SMCLK/CD6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='PJ.1/TDI/TCLK/MCLK/CD7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='PJ.2/TMS/ACLK/CD8',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='PJ.3/TCK/CD9',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVCC',do_erc=True), Pin(num='11',name='TEST/SBWTCK',do_erc=True), Pin(num='21',name='PJ.4/XIN',do_erc=True), Pin(num='12',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='22',name='PJ.5/XOUT',do_erc=True), Pin(num='13',name='TB0CLK/UCA0TXD/UCA0SIMO/ACLK/P2.0',do_erc=True), Pin(num='23',name='AVSS',do_erc=True), Pin(num='14',name='TB0.0/UCA0RXD/UCA0SOMI/P2.1',do_erc=True), Pin(num='24',name='AVCC',do_erc=True), Pin(num='15',name='UCB0CLK/P2.2',do_erc=True), Pin(num='16',name='TA0.0/UCB0SIMO/UCB0SDA/P1.6',do_erc=True), Pin(num='17',name='TA1.0/UCB0SOMI/UCB0SCL/P1.7',do_erc=True), Pin(num='18',name='VCORE',do_erc=True), Pin(num='19',name='DVSS',do_erc=True)]), Part(name='MSP430FR5722IRGE',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin QFN, 16KB FRAM Memory, 1KB SRAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430FR5726IRGE', 'MSP430FR5732IRGE', 'MSP430FR5736IRGE'],pins=[ Pin(num='1',name='TA0.1/DMAE0/RTCCLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.2/TA1CLK/CDOUT/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA1.1/TA0CLK/CDOUT/CD2/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA1.2/UCB0STE/CD3/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='TB0.1/UCA0STE/CD4/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TB0.2/UCA0CLK/CD5/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='PJ.0/TDO/TB0OUTH/SMCLK/CD6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='PJ.1/TDI/TCLK/MCLK/CD7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='PJ.2/TMS/ACLK/CD8',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='PJ.3/TCK/CD9',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVCC',do_erc=True), Pin(num='11',name='TEST/SBWTCK',do_erc=True), Pin(num='21',name='PJ.4/XIN',do_erc=True), Pin(num='12',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='22',name='PJ.5/XOUT',do_erc=True), Pin(num='13',name='TB0CLK/UCA0TXD/UCA0SIMO/ACLK/P2.0',do_erc=True), Pin(num='23',name='AVSS',do_erc=True), Pin(num='14',name='TB0.0/UCA0RXD/UCA0SOMI/P2.1',do_erc=True), Pin(num='24',name='AVCC',do_erc=True), Pin(num='15',name='UCB0CLK/P2.2',do_erc=True), Pin(num='16',name='TA0.0/UCB0SIMO/UCB0SDA/P1.6',do_erc=True), Pin(num='17',name='TA1.0/UCB0SOMI/UCB0SCL/P1.7',do_erc=True), Pin(num='18',name='VCORE',do_erc=True), Pin(num='19',name='DVSS',do_erc=True)]), Part(name='MSP430G2001IN14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2101IN14', 'MSP430G2201IN14'],pins=[ Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TA0.1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2001IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2201, 14pin TSSOP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2101IPW14', 'MSP430G2201IPW14'],pins=[ Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TA0.1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2001IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2201, 16pin QFN, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2101IRSA16', 'MSP430G2201IRSA16'],pins=[ Pin(num='1',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TA0.1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2102IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2202IN20', 'MSP430G2302IN20', 'MSP430G2402IN20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SMCLK/TCK/TA0.2/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='SDO/SCL/TDI/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2102IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2402, 14pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2202IPW14', 'MSP430G2302IPW14', 'MSP430G2402IPW14'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SMCLK/TCK/TA0.2/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/SCLK/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='SDO/SCL/TDI/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2102IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2402, 20pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2202IPW20', 'MSP430G2302IPW20', 'MSP430G2402IPW20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SMCLK/TCK/TA0.2/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='SDO/SCL/TDI/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2102IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2402, 16pin QFN, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2202IRSA16', 'MSP430G2302IRSA16', 'MSP430G2402IRSA16'],pins=[ Pin(num='1',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TMS/SCLK/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='SDO/SCL/TDI/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2111IN14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2211IN14'],pins=[ Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='CA0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='CA1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='CA2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CAOUT/CA3/ADC10CLK/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='CA4/SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='CA5/TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='CA6/TA0.1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='CA7/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2111IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2211, 14pin TSSOP, 1KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2211IPW14'],pins=[ Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='CA0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='CA1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='CA2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CAOUT/CA3/ADC10CLK/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='CA4/SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='CA5/TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='CA6/TA0.1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='CA7/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2111IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2211, 16pin QFN, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2211IRSA16'],pins=[ Pin(num='1',name='ACLK/TA0CLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='TCK/SMCLK/CA4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TMS/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TDI/TCLK/TA0.1/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TDO/TDI/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2112IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2212IN20', 'MSP430G2312IN20', 'MSP430G2412IN20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/TA0.2/CA4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/SCLK/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TDO/TDI/SDI/SDA/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2112IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2412, 14pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2212IPW14', 'MSP430G2312IPW14', 'MSP430G2412IPW14'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/TA0.2/CA4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/SCLK/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TDO/TDI/SDI/SDA/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2112IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2412, 20pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2212IPW20', 'MSP430G2312IPW20', 'MSP430G2412IPW20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/TA0.2/CA4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/SCLK/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TDO/TDI/SDI/SDA/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2112IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2412, 16pin QFN, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2212IRSA16', 'MSP430G2312IRSA16', 'MSP430G2412IRSA16'],pins=[ Pin(num='1',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='TCK/SMCLK/TA0.2/CA4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TMS/SCLK/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TDO/TDI/SDI/SDA/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2113IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2513, 20pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2213IPW20', 'MSP430G2313IPW20', 'MSP430G2413IPW20', 'MSP430G2513IPW20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='UCA0RXD/UCA0SOMI/TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='UCA0TXD/UCA0SIMO/TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/CA4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/UCB0CLK/UCA0STE/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TDI/TCLK/UCB0SOMI/UCB0SCL/TA0.1/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='TEST/SBWTCK',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2121IN14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2221IN14'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='ACLK/TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/SCLK/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TDI/SDO/SCL/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TDI/TDO/SDI/SDA/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2121IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2221, 14pin TSSOP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2221IPW14'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='ACLK/TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/SCLK/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TDI/SDO/SCL/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TDI/TDO/SDI/SDA/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2121IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2221, 16pin QFN, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2221IRSA16'],pins=[ Pin(num='1',name='ACLK/TACLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TMS/SCLK/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TDI/SDO/SCL/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TDI/TDO/SDI/SDA/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2131IN14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2231IN14'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='ACLK/TACLK/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/SCLK/TA0.0/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TDI/SDO/SCL/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TDI/TDO/SDI/SDA/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2131IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2231, 14pin PDIP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2231IPW14'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='ACLK/TACLK/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/SCLK/TA0.0/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TDI/SDO/SCL/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TDI/TDO/SDI/SDA/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2131IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2231, 16pin QFN, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2231IRSA16'],pins=[ Pin(num='1',name='ACLK/TACLK/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.0/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.1/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='TCK/SMCLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TMS/SCLK/TA0.0/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TDI/SDO/SCL/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TDI/TDO/SDI/SDA/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2132IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2232IN20', 'MSP430G2332IN20', 'MSP430G2432IN20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='A0/ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='A1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='A2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/VREF+/VeREF+/A4/SMCLK/TA0.2/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/A5/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='SDO/SCL/TDI/TCLK/A6/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='SDI/SDA/TDO/TDI/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2132IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2432, 14pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2232IPW14', 'MSP430G2332IPW14', 'MSP430G2432IPW14'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='ACLK/A0/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='A1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='A2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SMCLK/TCK/A4/VREF+/VeREF+/TA0.2/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/SCLK/A5/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='SDO/SCL/TDI/TCLK/A6/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='SDI/SDA/TDO/TDI/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2132IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2432, 20pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2232IPW20', 'MSP430G2332IPW20', 'MSP430G2432IPW20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='A0/ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='A1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='A2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/VREF+/VeREF+/A4/SMCLK/TA0.2/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/A5/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='SDO/SCL/TDI/TCLK/A6/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='SDI/SDA/TDO/TDI/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2132IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2432, 16pin QFN, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2232IRSA16', 'MSP430G2332IRSA16', 'MSP430G2432IRSA16'],pins=[ Pin(num='1',name='ACLK/A0/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='A1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='A2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='SMCLK/TCK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TMS/SCLK/A5/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='SDO/SCL/TDI/TCLK/A6/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='SDI/SDA/TDO/TDI/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2152IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2252IN20', 'MSP430G2352IN20', 'MSP430G2452IN20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/CA1/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/CA2/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/VREF-/VeREF-/CAOUT/CA3/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/TA0.2/VREF+/VeREF+/CA4/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/SCLK/TA0.0/CA5/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/A6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TDO/TDI/SDI/SDA/CAOUT/CA7/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2152IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2452, 14pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2252IPW14', 'MSP430G2352IPW14', 'MSP430G2452IPW14'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/CA1/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/CA2/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/VREF-/VeREF-/CAOUT/CA3/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/TA0.2/VREF+/VeREF+/CA4/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/SCLK/TA0.0/CA5/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/A6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TDO/TDI/SDI/SDA/CAOUT/CA7/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='11',name='SBWTCK/TEST',do_erc=True), Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2152IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2452, 20pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2252IPW20', 'MSP430G2352IPW20', 'MSP430G2452IPW20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/CA1/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/CA2/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/VREF-/VeREF-/CAOUT/CA3/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/TA0.2/VREF+/VeREF+/CA4/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/SCLK/TA0.0/CA5/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/A6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TDO/TDI/SDI/SDA/CAOUT/CA7/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2152IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2452, 16pin QFN, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2252IRSA16', 'MSP430G2352IRSA16', 'MSP430G2452IRSA16'],pins=[ Pin(num='1',name='TA0CLK/ACLK/A0/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.0/A1/CA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.1/A2/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='ADC10CLK/CAOUT/VREF-/VeREF-/A3/CA3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='TCK/SMCLK/TA0.2/VREF+/VeREF+/A4/CA4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TMS/TA0.0/SCLK/A5/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TDI/TCLK/TA0.1/SDO/SCL/A6/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TDO/TDI/CAOUT/SDI/SDA/A7/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='10',name='SBWTCK/TEST',do_erc=True), Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2153IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2253IN20', 'MSP430G2353IN20', 'MSP430G2453IN20', 'MSP430G2553IN20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='UCA0RXD/UCA0SOMI/TA0.0/CA1/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='UCA0TXD/UCA0SIMO/TA0.1/CA2/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CAOUT/VREF-/VeREF-/CA3/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/CA4/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/UCB0CLK/UCA0STE/TA0.0/CA5/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TDI/TCLK/UCB0SOMI/UCB0SCL/TA0.1/CA6/A6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/CAOUT/CA7/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='TEST/SBWTCK',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2153IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2553, 20pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2253IPW20', 'MSP430G2353IPW20', 'MSP430G2453IPW20', 'MSP430G2553IPW20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='UCA0RXD/UCA0SOMI/TA0.0/CA1/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='UCA0TXD/UCA0SIMO/TA0.1/CA2/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CAOUT/VREF-/VeREF-/CA3/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/CA4/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/UCB0CLK/UCA0STE/TA0.0/CA5/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TDI/TCLK/UCB0SOMI/UCB0SCL/TA0.1/CA6/A6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/CAOUT/CA7/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='TEST/SBWTCK',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2153IPW28',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2553, 28pin TQFP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2253IPW28', 'MSP430G2353IPW28', 'MSP430G2453IPW28', 'MSP430G2553IPW28'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/A0/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/A1/CA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/A2/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/CAOUT/VREF-/VeREF-/A3/CA3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/A4/CA4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/A5/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P3.7/TA1CLK/CAOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/A6/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TDO/TDI/CAOUT/UCB0SIMO/UCB0SDA/A7/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='15',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='SBWTCK/TEST',do_erc=True), Pin(num='16',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='19',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2153IRHB32',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2553, 32pin QFN, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2253IRHB32', 'MSP430G2353IRHB32', 'MSP430G2453IRHB32', 'MSP430G2553IRHB32'],pins=[ Pin(num='1',name='TA0.0/UCA0RXD/UCA0SOMI/A1/CA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.1/UCA0TXD/UCA0SIMO/A2/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='ADC10CLK/CAOUT/VREF-/VeREF-/A3/CA3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/A4/CA4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='TMS/TA0.0/UCB0CLK/UCA0STE/A5/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P3.7/TA1CLK/CAOUT',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/A6/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA0CLK/ACLK/A0/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TDO/TDI/CAOUT/UCB0SIMO/UCB0SDA/A7/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='14',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='SBWTCK/TEST',do_erc=True), Pin(num='15',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='18',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='19',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='AVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2203IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 8KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2303IN20', 'MSP430G2403IN20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='TEST/SBWTCK',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2203IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2403, 20pin TSSOP, 8KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2303IPW20', 'MSP430G2403IPW20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='TEST/SBWTCK',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2203IPW28',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2403, 28pin TSSOP, 8KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2303IPW28', 'MSP430G2403IPW28'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P3.7/TA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TDO/TDI/UCB0SIMO/UCB0SDA/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='15',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='TEST/SBWTCK',do_erc=True), Pin(num='16',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='19',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2203IRHB32',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2403, 32pin QFN, 8KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2303IRHB32', 'MSP430G2403IRHB32'],pins=[ Pin(num='1',name='TA0.0/UCA0RXD/UCA0SOMI/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.1/UCA0TXD/UCA0SIMO/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TCK/SMCLK/UCB0STE/UCA0CLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='TMS/TA0.0/UCB0CLK/UCA0STE/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P3.7/TA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TDO/TDI/UCB0SIMO/UCB0SDA/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='14',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TEST/SBWTCK',do_erc=True), Pin(num='15',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='18',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='19',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='AVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2210ID',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='8pin PDIP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='4',name='TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='14',name='TA0.1/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='TEST/SBWTCK',do_erc=True)]), Part(name='MSP430G2213IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2313IN20', 'MSP430G2413IN20', 'MSP430G2513IN20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='UCA0RXD/UCA0SOMI/TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='UCA0TXD/UCA0SIMO/TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/CA4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/UCB0CLK/UCA0STE/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TDI/TCLK/UCB0SOMI/UCB0SCL/TA0.1/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='TEST/SBWTCK',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2213IPW28',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2513, 28pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2313IPW28', 'MSP430G2413IPW28', 'MSP430G2513IPW28'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/CA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/CA4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P3.7/TA1CLK/CAOUT',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TDO/TDI/CAOUT/UCB0SIMO/UCB0SDA/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='15',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='SBWTCK/TEST',do_erc=True), Pin(num='16',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='19',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2213IRHB32',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2513, 32pin QFN, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2313IRHB32', 'MSP430G2413IRHB32', 'MSP430G2513IRHB32'],pins=[ Pin(num='1',name='TA0.0/UCA0RXD/UCA0SOMI/CA1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.1/UCA0TXD/UCA0SIMO/CA2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TCK/SMCLK/UCB0STE/UCA0CLK/CA4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='TMS/TA0.0/UCB0CLK/UCA0STE/CA5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P3.7/TA1CLK/CAOUT',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/CA6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TDO/TDI/CAOUT/UCB0SIMO/UCB0SDA/CA7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='14',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='SBWTCK/TEST',do_erc=True), Pin(num='15',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='18',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='19',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='AVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2230ID',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='8pin SOIC, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,fplist=['SOIC-8*'],do_erc=True,pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0.1/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/SCLK/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='4',name='TA0.1/SDO/SCL/A6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='SDI/SDA/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='7',name='TEST/SBWTCK',do_erc=True)]), Part(name='MSP430G2233IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2333IN20', 'MSP430G2433IN20', 'MSP430G2533IN20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/A6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='TEST/SBWTCK',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2233IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2533, 20pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2333IPW20', 'MSP430G2433IPW20', 'MSP430G2533IPW20'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/A6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='17',name='TEST/SBWTCK',do_erc=True), Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2233IPW28',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2533, 28pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2333IPW28', 'MSP430G2433IPW28', 'MSP430G2533IPW28'],pins=[ Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P3.7/TA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/A6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='TDO/TDI/UCB0SIMO/UCB0SDA/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='15',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='TEST/SBWTCK',do_erc=True), Pin(num='16',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='19',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2233IRHB32',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2533, 32pin QFN, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2333IRHB32', 'MSP430G2433IRHB32', 'MSP430G2533IRHB32'],pins=[ Pin(num='1',name='TA0.0/UCA0RXD/UCA0SOMI/A1/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='TA0.1/UCA0TXD/UCA0SIMO/A2/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='TMS/TA0.0/UCB0CLK/UCA0STE/A5/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P3.7/TA1CLK',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/A6/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='TDO/TDI/UCB0SIMO/UCB0SDA/A7/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='14',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='TEST/SBWTCK',do_erc=True), Pin(num='15',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='18',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='19',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='AVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2444IDA38',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2744, 38pin TSSOP, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2544IDA38', 'MSP430G2744IDA38'],pins=[ Pin(num='1',name='SBWTCK/TEST',do_erc=True), Pin(num='2',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='8',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P4.3/A12/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.0/A5/UCB0STE/UCA0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P4.4/A13/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='P4.5/A14/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='P4.6/A15/TBOUTH',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='25',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='26',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='P3.6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='P3.7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TA1/VREF-/VeREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2444IRHA40',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2744, 40pin QFN, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2544IRHA40', 'MSP430G2744IRHA40'],pins=[ Pin(num='1',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='6',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P4.5/TB2/A14',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='ROSC/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P4.6/TBOUTH/A15',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='23',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='24',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='P3.6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='P3.7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TA1/VREF-/VeREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='P4.3/TB0/A12',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TA2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='19',name='P4.4/TB1/A13',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='DVCC',func=Pin.PWRIN,do_erc=True)]), Part(name='MSP430G2444IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='49ball BGA, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2544IYFF', 'MSP430G2744IYFF'],pins=[ Pin(num='A1',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='B1',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='C1',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='D1',name='SBWTCK/TEST',do_erc=True), Pin(num='E1',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='F1',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='G1',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='A2',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='B2',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='C2',name='ROSC/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='D2',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='E2',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='F2',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='G2',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='A3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='B3',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='C3',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='D3',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='E3',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='F3',name='TA1/VREF-/VeREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='G3',name='TA2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='A4',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='B4',name='TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='C4',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='D4',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='E4',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='F4',name='P3.6/A6',func=Pin.BIDIR,do_erc=True), Pin(num='G4',name='P3.7/A7',func=Pin.BIDIR,do_erc=True), Pin(num='A5',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='B5',name='P3.0/A5/UCB0STE/UCA0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='C5',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='D5',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='E5',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='F5',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True), Pin(num='G5',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='A6',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='B6',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='C6',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='D6',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='E6',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='F6',name='P4.5/A14/TB2',func=Pin.BIDIR,do_erc=True), Pin(num='G6',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='A7',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='B7',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='C7',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='D7',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='E7',name='P4.3/A12/TB0',func=Pin.BIDIR,do_erc=True), Pin(num='F7',name='P4.4/A13/TB1',func=Pin.BIDIR,do_erc=True), Pin(num='G7',name='P4.6/A15/TBOUTH',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2755IDA38',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430F2955, 38pin TSSOP, 56KB Flash Memory, 4KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2855IDA38', 'MSP430G2955IDA38'],pins=[ Pin(num='1',name='SBWTCK/TEST',do_erc=True), Pin(num='2',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='3',name='TA1.0/ROSC/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='8',name='TA1CLK/ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='TA0INCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='TA0.0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P4.3/A12/CA3/TB0.0',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA0.2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.0/A5/UCB0STE/UCA0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P4.4/A13/CA4/TB0.1',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA0CLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='P4.5/A14/CA5/TB0.2',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='P4.6/A15/CA6/TB0OUTH',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='P4.7/CA7/TB0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='25',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='26',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='TMS/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P4.0/CA0/TB0.0',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='P3.6/A6/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='TDI/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='P4.1/CA1/TB0.1',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='P3.7/A7/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='TDO/TDI/TA0.2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='P4.2/CA2/TB0.2',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TA0.1/VREF−/VeREF−/A3/P2.3',func=Pin.BIDIR,do_erc=True)]), Part(name='MSP430G2755IRHA40',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430F2955, 40pin QFN, 56KB Flash Memory, 4KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2855IRHA40', 'MSP430G2955IRHA40'],pins=[ Pin(num='1',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='~RST~/NMI/SBWTDIO',do_erc=True), Pin(num='6',name='TA1CLK/ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='TA0INCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='TA0.0/A2/P2.2',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='P3.0/A5/UCB0STE/UCA0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='P4.5/A14/CA5/TB0.2',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='TA1.0/ROSC/P2.5',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='P4.6/A15/CA6/TB0OUTH',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='P4.7/CA7/TB0CLK',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='23',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='AVCC',func=Pin.PWRIN,do_erc=True), Pin(num='24',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='TMS/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='P4.0/CA0/TB0.0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='P3.6/A6/TA1.1',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='TDI/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='P4.1/CA1/TB0.1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='P3.7/A6/TA1.2',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='TDO/TDI/TA0.2/P1.7',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P4.2/CA2/TB0.2',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='TA0.1/VREF−/VeREF−/A3/P2.3',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='SBWTCK/TEST',do_erc=True), Pin(num='18',name='P4.3/A12/CA3/TB0.0',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='TA0.2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='DVCC',func=Pin.PWRIN,do_erc=True), Pin(num='19',name='P4.4/A13/CA4/TB0.1',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='TA0CLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='DVCC',func=Pin.PWRIN,do_erc=True)])])

78.223626

315

0.602035

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0.015022

0.108586

0.195455

0.245834

0.968836

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0.967264

0.965392

0.964268

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334,406

4,274

316

78.241928

0.628284

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0.814841

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null

0

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9

d68f03f56ad519c4aa6b74951dc4b7d0ef9592e5

13,041

py

Python

src/genie/libs/parser/junos/tests/ShowChassisPower/cli/equal/golden_output_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/junos/tests/ShowChassisPower/cli/equal/golden_output_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/junos/tests/ShowChassisPower/cli/equal/golden_output_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

expected_output = { 'power-usage-information': { 'power-usage-item': [ { 'name': 'PSM 0', 'state': 'Online', 'dc-input-detail2': { 'dc-input-status': 'OK (INP0 feed expected, INP0 feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '489.25', 'str-zone': 'Lower', 'str-dc-current': '9.50', 'str-dc-voltage': '51.50', 'str-dc-load': '23.30' } }, { 'name': 'PSM 1', 'state': 'Online', 'dc-input-detail2': { 'dc-input-status': 'OK (INP0 feed expected, INP0 feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '489.25', 'str-zone': 'Lower', 'str-dc-current': '9.50', 'str-dc-voltage': '51.50', 'str-dc-load': '23.30' } }, { 'name': 'PSM 2', 'state': 'Online', 'dc-input-detail2': { 'dc-input-status': 'OK (INP0 feed expected, INP0 feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '504.56', 'str-zone': 'Lower', 'str-dc-current': '9.75', 'str-dc-voltage': '51.75', 'str-dc-load': '24.03' } }, { 'name': 'PSM 3', 'state': 'Online', 'dc-input-detail2': { 'dc-input-status': 'OK (INP0 feed expected, INP0 feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '491.62', 'str-zone': 'Lower', 'str-dc-current': '9.50', 'str-dc-voltage': '51.75', 'str-dc-load': '23.41' } }, { 'name': 'PSM 4', 'state': 'Present', 'dc-input-detail2': { 'dc-input-status': 'Check (No feed expected, No feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '0.00', 'str-zone': 'Lower', 'str-dc-current': '0.00', 'str-dc-voltage': '0.00', 'str-dc-load': '0.00' } }, { 'name': 'PSM 5', 'state': 'Present', 'dc-input-detail2': { 'dc-input-status': 'Check (No feed expected, No feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '0.00', 'str-zone': 'Lower', 'str-dc-current': '0.00', 'str-dc-voltage': '0.00', 'str-dc-load': '0.00' } }, { 'name': 'PSM 6', 'state': 'Present', 'dc-input-detail2': { 'dc-input-status': 'Check (No feed expected, No feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '0.00', 'str-zone': 'Lower', 'str-dc-current': '0.00', 'str-dc-voltage': '0.00', 'str-dc-load': '0.00' } }, { 'name': 'PSM 7', 'state': 'Present', 'dc-input-detail2': { 'dc-input-status': 'Check (No feed expected, No feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '0.00', 'str-zone': 'Lower', 'str-dc-current': '0.00', 'str-dc-voltage': '0.00', 'str-dc-load': '0.00' } }, { 'name': 'PSM 8', 'state': 'Present', 'dc-input-detail2': { 'dc-input-status': 'Check (No feed expected, No feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '0.00', 'str-zone': 'Lower', 'str-dc-current': '0.00', 'str-dc-voltage': '0.00', 'str-dc-load': '0.00' } }, { 'name': 'PSM 9', 'state': 'Online', 'dc-input-detail2': { 'dc-input-status': 'OK (INP0 feed expected, INP0 feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '309.00', 'str-zone': 'Upper', 'str-dc-current': '6.00', 'str-dc-voltage': '51.50', 'str-dc-load': '14.71' } }, { 'name': 'PSM 10', 'state': 'Online', 'dc-input-detail2': { 'dc-input-status': 'OK (INP0 feed expected, INP0 feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '307.50', 'str-zone': 'Upper', 'str-dc-current': '6.00', 'str-dc-voltage': '51.25', 'str-dc-load': '14.64' } }, { 'name': 'PSM 11', 'state': 'Online', 'dc-input-detail2': { 'dc-input-status': 'OK (INP0 feed expected, INP0 feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '309.00', 'str-zone': 'Upper', 'str-dc-current': '6.00', 'str-dc-voltage': '51.50', 'str-dc-load': '14.71' } }, { 'name': 'PSM 12', 'state': 'Present', 'dc-input-detail2': { 'dc-input-status': 'Check (No feed expected, No feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '0.00', 'str-zone': 'Upper', 'str-dc-current': '0.00', 'str-dc-voltage': '0.00', 'str-dc-load': '0.00' } }, { 'name': 'PSM 13', 'state': 'Present', 'dc-input-detail2': { 'dc-input-status': 'Check (No feed expected, No feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '0.00', 'str-zone': 'Upper', 'str-dc-current': '0.00', 'str-dc-voltage': '0.00', 'str-dc-load': '0.00' } }, { 'name': 'PSM 14', 'state': 'Present', 'dc-input-detail2': { 'dc-input-status': 'Check (No feed expected, No feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '0.00', 'str-zone': 'Upper', 'str-dc-current': '0.00', 'str-dc-voltage': '0.00', 'str-dc-load': '0.00' } }, { 'name': 'PSM 15', 'state': 'Unknown', 'dc-input-detail2': { 'dc-input-status': 'Not ready' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '0.00', 'str-zone': 'Upper', 'str-dc-current': '0.00', 'str-dc-voltage': '0.00', 'str-dc-load': '0.00' } }, { 'name': 'PSM 16', 'state': 'Present', 'dc-input-detail2': { 'dc-input-status': 'Check (No feed expected, No feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '0.00', 'str-zone': 'Upper', 'str-dc-current': '0.00', 'str-dc-voltage': '0.00', 'str-dc-load': '0.00' } }, { 'name': 'PSM 17', 'state': 'Present', 'dc-input-detail2': { 'dc-input-status': 'Check (No feed expected, No feed connected)' }, 'pem-capacity-detail': { 'capacity-actual': '2100', 'capacity-max': '2500' }, 'dc-output-detail2': { 'str-dc-power': '0.00', 'str-zone': 'Upper', 'str-dc-current': '0.00', 'str-dc-voltage': '0.00', 'str-dc-load': '0.00' } } ], 'power-usage-system': { 'power-usage-zone-information': [{ 'str-zone': 'Upper', 'capacity-actual': '6300', 'capacity-max': '7500', 'capacity-allocated': '3332', 'capacity-remaining': '2968', 'capacity-actual-usage': '925.50' }, { 'str-zone': 'Lower', 'capacity-actual': '8400', 'capacity-max': '10000', 'capacity-allocated': '6294', 'capacity-remaining': '2106', 'capacity-actual-usage': '1974.69' }], 'capacity-sys-actual': '14700', 'capacity-sys-max': '17500', 'capacity-sys-remaining': '5074' } } }

36.838983

66

0.323902

1,016

13,041

4.156496

0.091535

0.085247

0.046886

0.041677

0.883258

0.876865

0.870945

0.86242

0

0.083896

0.522889

13,041

353

67

36.943343

0.594825

0

0.688385

0

0.370064

0.008818

0

1

0

false

0

null

0

1

0

1

0

null

0

7

d6981c0625c3487f178fcc8ada4d7286e1cdcf0d

12,317

py

Python

tests/integration/commands/test_transfer.py

real-digital/esque

0b779fc308ce8bce45c1903f36c33664b2e832e7

[ "MIT" ]

29

2019-05-10T21:12:38.000Z

2021-08-24T08:09:49.000Z

tests/integration/commands/test_transfer.py

real-digital/esque

0b779fc308ce8bce45c1903f36c33664b2e832e7

[ "MIT" ]

103

2019-05-17T07:21:41.000Z

2021-12-02T08:29:00.000Z

tests/integration/commands/test_transfer.py

real-digital/esque

0b779fc308ce8bce45c1903f36c33664b2e832e7

[ "MIT" ]

2

2019-05-28T06:45:14.000Z

2019-11-21T00:33:15.000Z

import time from typing import Tuple import pytest from click.testing import CliRunner from confluent_kafka.avro import AvroConsumer, AvroProducer from confluent_kafka.cimpl import Consumer from confluent_kafka.cimpl import Producer as ConfluentProducer from confluent_kafka.cimpl import TopicPartition from pytest_cases import fixture from esque.cli.commands import esque from esque.config import Config from tests.utils import ( produce_avro_test_messages, produce_binary_test_messages, produce_text_test_messages, produce_text_test_messages_with_headers, ) @fixture def target_topic_consumer(unittest_config: Config, target_topic: Tuple[str, int]) -> Consumer: consumer = Consumer( { "group.id": "asdf", "enable.auto.commit": False, "enable.partition.eof": False, **unittest_config.create_confluent_config(), } ) consumer.assign([TopicPartition(topic=target_topic[0], partition=i, offset=0) for i in range(target_topic[1])]) yield consumer consumer.close() @fixture def target_topic_avro_consumer(unittest_config: Config, target_topic: Tuple[str, int]) -> AvroConsumer: consumer = AvroConsumer( { "group.id": "asdf", "enable.auto.commit": False, "enable.partition.eof": False, **unittest_config.create_confluent_config(include_schema_registry=True), } ) consumer.assign([TopicPartition(topic=target_topic[0], partition=i, offset=0) for i in range(target_topic[1])]) yield consumer consumer.close() @pytest.mark.integration def test_transfer_plain_text_message_using_cli_pipe( producer: ConfluentProducer, target_topic_consumer: Consumer, source_topic: Tuple[str, int], target_topic: Tuple[str, int], non_interactive_cli_runner: CliRunner, ): expected_messages = produce_text_test_messages(topic_name=source_topic[0], producer=producer) result1 = non_interactive_cli_runner.invoke( esque, args=["consume", "--stdout", "--number", "10", source_topic[0]], catch_exceptions=False ) non_interactive_cli_runner.invoke( esque, args=["produce", "--stdin", target_topic[0]], input=result1.output, catch_exceptions=False ) actual_messages = { (msg.key().decode(), msg.value().decode(), msg.partition()) for msg in target_topic_consumer.consume(10, timeout=20) } expected_messages = {(msg.key, msg.value, msg.partition) for msg in expected_messages} assert expected_messages == actual_messages @pytest.mark.integration def test_transfer_plain_text_message_with_headers_using_cli_pipe( producer: ConfluentProducer, target_topic_consumer: Consumer, source_topic: Tuple[str, int], target_topic: Tuple[str, int], non_interactive_cli_runner: CliRunner, ): expected_messages = produce_text_test_messages_with_headers(topic_name=source_topic[0], producer=producer) result1 = non_interactive_cli_runner.invoke( esque, args=["consume", "--stdout", "--number", "10", source_topic[0]], catch_exceptions=False ) non_interactive_cli_runner.invoke( esque, args=["produce", "--stdin", target_topic[0]], input=result1.output, catch_exceptions=False ) actual_messages = { (msg.key().decode(), msg.value().decode(), msg.partition(), tuple(msg.headers() or [])) for msg in target_topic_consumer.consume(10, timeout=20) } expected_messages = {(msg.key, msg.value, msg.partition, tuple(msg.headers)) for msg in expected_messages} assert expected_messages == actual_messages @pytest.mark.integration def test_transfer_binary_message_using_cli_pipe( producer: ConfluentProducer, target_topic_consumer: Consumer, source_topic: Tuple[str, int], target_topic: Tuple[str, int], non_interactive_cli_runner, ): expected_messages = produce_binary_test_messages(topic_name=source_topic[0], producer=producer) result1 = non_interactive_cli_runner.invoke( esque, args=["consume", "--stdout", "--binary", "--number", "10", source_topic[0]], catch_exceptions=False ) non_interactive_cli_runner.invoke( esque, args=["produce", "--stdin", "--binary", target_topic[0]], input=result1.output, catch_exceptions=False ) actual_messages = { (msg.key(), msg.value(), msg.partition()) for msg in target_topic_consumer.consume(10, timeout=20) } expected_messages = {(msg.key, msg.value, msg.partition) for msg in expected_messages} assert expected_messages == actual_messages @pytest.mark.integration def test_transfer_plain_text_message_using_file( producer: ConfluentProducer, target_topic_consumer: Consumer, source_topic: Tuple[str, int], target_topic: Tuple[str, int], non_interactive_cli_runner: CliRunner, tmpdir_factory, ): output_directory = tmpdir_factory.mktemp("output_directory") expected_messages = produce_text_test_messages(topic_name=source_topic[0], producer=producer) non_interactive_cli_runner.invoke( esque, args=["consume", "-d", str(output_directory), "--number", "10", source_topic[0]], catch_exceptions=False ) non_interactive_cli_runner.invoke( esque, args=["produce", "-d", str(output_directory), target_topic[0]], catch_exceptions=False ) actual_messages = { (msg.key().decode(), msg.value().decode(), msg.partition()) for msg in target_topic_consumer.consume(10, timeout=20) } expected_messages = {(msg.key, msg.value, msg.partition) for msg in expected_messages} assert expected_messages == actual_messages @pytest.mark.integration def test_transfer_plain_text_message_with_headers_using_file( producer: ConfluentProducer, target_topic_consumer: Consumer, source_topic: Tuple[str, int], target_topic: Tuple[str, int], non_interactive_cli_runner: CliRunner, tmpdir_factory, ): output_directory = tmpdir_factory.mktemp("output_directory") expected_messages = produce_text_test_messages_with_headers(topic_name=source_topic[0], producer=producer) non_interactive_cli_runner.invoke( esque, args=["consume", "-d", str(output_directory), "--number", "10", source_topic[0]], catch_exceptions=False ) non_interactive_cli_runner.invoke( esque, args=["produce", "-d", str(output_directory), target_topic[0]], catch_exceptions=False ) actual_messages = { (msg.key().decode(), msg.value().decode(), msg.partition(), tuple((msg.headers() or []))) for msg in target_topic_consumer.consume(10, timeout=20) } expected_messages = {(msg.key, msg.value, msg.partition, tuple(msg.headers)) for msg in expected_messages} assert expected_messages == actual_messages @pytest.mark.integration def test_transfer_binary_message_using_file( producer: ConfluentProducer, target_topic_consumer: Consumer, source_topic: Tuple[str, int], target_topic: Tuple[str, int], non_interactive_cli_runner: CliRunner, tmpdir_factory, ): output_directory = tmpdir_factory.mktemp("output_directory") expected_messages = produce_binary_test_messages(topic_name=source_topic[0], producer=producer) non_interactive_cli_runner.invoke( esque, args=["consume", "-d", str(output_directory), "--binary", "--number", "10", source_topic[0]], catch_exceptions=False, ) non_interactive_cli_runner.invoke( esque, args=["produce", "-d", str(output_directory), "--binary", target_topic[0]], catch_exceptions=False ) actual_messages = { (msg.key(), msg.value(), msg.partition()) for msg in target_topic_consumer.consume(10, timeout=20) } expected_messages = {(msg.key, msg.value, msg.partition) for msg in expected_messages} assert expected_messages == actual_messages @pytest.mark.integration def test_transfer_avro_message_using_file( avro_producer: AvroProducer, target_topic_avro_consumer: AvroConsumer, source_topic: Tuple[str, int], target_topic: Tuple[str, int], non_interactive_cli_runner: CliRunner, tmpdir_factory, ): output_directory = tmpdir_factory.mktemp("output_directory") expected_messages = produce_avro_test_messages(topic_name=source_topic[0], avro_producer=avro_producer) non_interactive_cli_runner.invoke( esque, args=["consume", "-d", str(output_directory), "--avro", "--number", "10", source_topic[0]], catch_exceptions=False, ) non_interactive_cli_runner.invoke( esque, args=["produce", "-d", str(output_directory), "--avro", target_topic[0]], catch_exceptions=False ) actual_messages = set() start = time.monotonic() while len(actual_messages) < 10: msg = target_topic_avro_consumer.poll(timeout=2) if msg is not None: actual_messages.add((msg.key()["key"], msg.value()["value"], msg.partition())) elif time.monotonic() - start >= 20: raise TimeoutError("Timeout reading data from topic") expected_messages = {(msg.key["key"], msg.value["value"], msg.partition) for msg in expected_messages} assert expected_messages == actual_messages @pytest.mark.integration def test_transfer_avro_with_single_command( avro_producer: AvroProducer, target_topic_avro_consumer: AvroConsumer, source_topic: Tuple[str, int], target_topic: Tuple[str, int], non_interactive_cli_runner: CliRunner, ): expected_messages = produce_avro_test_messages(topic_name=source_topic[0], avro_producer=avro_producer) non_interactive_cli_runner.invoke( esque, args=[ "transfer", "--from-topic", source_topic[0], "--to-topic", target_topic[0], "--avro", "--number", "10", "--first", ], catch_exceptions=False, ) actual_messages = set() start = time.monotonic() while len(actual_messages) < 10: msg = target_topic_avro_consumer.poll(timeout=2) if msg is not None: actual_messages.add((msg.key()["key"], msg.value()["value"], msg.partition())) elif time.monotonic() - start >= 20: raise TimeoutError("Timeout reading data from topic") expected_messages = {(msg.key["key"], msg.value["value"], msg.partition) for msg in expected_messages} assert expected_messages == actual_messages @pytest.mark.integration def test_transfer_binary_with_single_command( producer: ConfluentProducer, target_topic_consumer: Consumer, source_topic: Tuple[str, int], target_topic: Tuple[str, int], non_interactive_cli_runner: CliRunner, ): expected_messages = produce_binary_test_messages(topic_name=source_topic[0], producer=producer) non_interactive_cli_runner.invoke( esque, args=[ "transfer", "--from-topic", source_topic[0], "--to-topic", target_topic[0], "--binary", "--number", "10", "--first", ], catch_exceptions=False, ) actual_messages = { (msg.key(), msg.value(), msg.partition()) for msg in target_topic_consumer.consume(10, timeout=20) } expected_messages = {(msg.key, msg.value, msg.partition) for msg in expected_messages} assert expected_messages == actual_messages @pytest.mark.integration def test_transfer_plain_with_single_command( producer: ConfluentProducer, target_topic_consumer: Consumer, source_topic: Tuple[str, int], target_topic: Tuple[str, int], non_interactive_cli_runner: CliRunner, ): expected_messages = produce_text_test_messages_with_headers(topic_name=source_topic[0], producer=producer) non_interactive_cli_runner.invoke( esque, args=["transfer", "--from-topic", source_topic[0], "--to-topic", target_topic[0], "--number", "10", "--first"], catch_exceptions=False, ) actual_messages = { (msg.key().decode(), msg.value().decode(), msg.partition()) for msg in target_topic_consumer.consume(10, timeout=20) } expected_messages = {(msg.key, msg.value, msg.partition) for msg in expected_messages} assert expected_messages == actual_messages

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0.697978

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5.52742

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0.064674

0.056222

0.076066

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0.927242

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0

null

0

1

0

1

0

null

0

7

d6dbd79fa4f2fa2158206baf21b2d85a969a955a

911

py

Python

Algorithms/sectorR7/1.py

sa501428/playground

26c4145e6afed1fbf12031ef9b7404e92b48d16d

[ "MIT" ]

null

Algorithms/sectorR7/1.py

sa501428/playground

26c4145e6afed1fbf12031ef9b7404e92b48d16d

[ "MIT" ]

null

Algorithms/sectorR7/1.py

sa501428/playground

26c4145e6afed1fbf12031ef9b7404e92b48d16d

[ "MIT" ]

null

# from collections import Counter z = 'AACTGTACACCCAAGTCATTTGTCAACCTGGCCCTCACTAACTGAGGGCCAACAGCCACGTCCAACTGACACTCGTTGATGCCCTGCTCTGAACATGGTTAGGGGCCCTGAGCTGATCGGTCCTCGTTCTCGCGAACTGGAACCTAAGAATTGTCCCTTTGACCATATTGCTGGGGAGCGTGATTTCATCTTAGAAGTATAGATAAAGACTAACTTTCGTCTTGCACAGCGAGCTGTCTAACGCGCTACTCGAGACAAGATAGATAATTCCTAGAGTTCCTGTATAAAATGCAACAGCGCTCGGTAACATACCCCTTAATGCATGCGTCGGGCAGACGATCCTAGGACTATTATTCCACGAAAGTGTAGGTCCTGTCTACTGGTTATATTGCGTAGACCTGCGACTCCTCATTTGGCTCAAATGGTGTGTAGAACTTTCAGAGTATAGATTCGGCGTGTAGGTAAACTAATATCACCCCGATTCACTCTCACTAATTAACGGTCGTCAGTTGACCACTGTCGCGACATAAGGTCGTGATACACCCACGTTCTGGCACGTCGCTTGTGACTCCCATCGCCTCTTACGGCTGATTTGAATGGGCGTTAAGGCCCCGTTGGCACATGGACAGGTTCTTGAACTCTCCCAATGCCACTAAGTGTATACGCGTTTTCCCATACGCCCGGGATTCACCGTTCCTTATCAGCGCAGGGCGAACACTAGGGCAACGGTTATATGCCTTTGAGGTCAAGGGGATATACAAGTAACCTCTCTCGACCACTAGTATCCGTGACGTGCCGAGCTGATCGTTCTTAAATTAGGCTCTTGCTCACCTAGACGGAATACCTACCGC' print Counter(z)

130.142857

857

0.980241

9

911

99.222222

0.777778

0.017917

0

0.013172

911

6

858

151.833333

0.993326

0

0.935165

0

1

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null

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0.333333

null

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0

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1

0

1

null

1

0

1

0

1

0

9

d6f83f64d29f5262babe5d244d6066a8cb2100ed

147

py

Python

NodeDefender/mqtt/command/icpe/sys/__init__.py

CTSNE/NodeDefender

24e19f53a27d3b53e599cba8b1448f8f16c0bd5e

[ "MIT" ]

4

2016-09-23T17:51:05.000Z

2017-03-14T02:52:26.000Z

NodeDefender/mqtt/command/icpe/sys/__init__.py

CTSNE/NodeDefender

24e19f53a27d3b53e599cba8b1448f8f16c0bd5e

[ "MIT" ]

1

2016-09-22T11:32:33.000Z

2017-11-14T10:00:24.000Z

NodeDefender/mqtt/command/icpe/sys/__init__.py

CTSNE/NodeDefender

24e19f53a27d3b53e599cba8b1448f8f16c0bd5e

[ "MIT" ]

4

2016-10-09T19:05:16.000Z

2020-05-14T04:00:30.000Z

import NodeDefender.mqtt.command.icpe.sys.network import NodeDefender.mqtt.command.icpe.sys.info import NodeDefender.mqtt.command.icpe.sys.service

36.75

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147

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null

0

1

0

1

0

9

ba3be962d6456c3da31d8a774c7cc88bf4a0b584

130

py

Python

algorithm/common/prediction.py

pitpalac36/Fraud-Detector

463a737da9b2c11a5c7bd11f5a5ecbc5586d80e7

[ "MIT" ]

null

algorithm/common/prediction.py

pitpalac36/Fraud-Detector

463a737da9b2c11a5c7bd11f5a5ecbc5586d80e7

[ "MIT" ]

null

algorithm/common/prediction.py

pitpalac36/Fraud-Detector

463a737da9b2c11a5c7bd11f5a5ecbc5586d80e7

[ "MIT" ]

null

def predict(lr, sample): return lr.predict(sample.reshape(1, -1)) def predict2(lr, sample): return lr.predict([sample])

18.571429

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0.676923

19

130

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0.161538

130

6

45

21.666667

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0

1

0

null

0

1

0

1

0

7

ba7d190dc2f433b116b955c83f53fb206725642e

1,447

py

Python

forms/migrations/0057_add_monitor_code.py

CodeForAfrica/gmmp

d7ffe2dac16bd57e81bb3555ddea9df1fe7e9ebf

[ "Apache-2.0" ]

4

2020-01-05T09:14:19.000Z

2022-02-17T03:22:09.000Z

forms/migrations/0057_add_monitor_code.py

CodeForAfrica/gmmp

d7ffe2dac16bd57e81bb3555ddea9df1fe7e9ebf

[ "Apache-2.0" ]

68

2019-12-23T02:19:55.000Z

2021-04-23T06:13:36.000Z

forms/migrations/0057_add_monitor_code.py

CodeForAfrica/gmmp

d7ffe2dac16bd57e81bb3555ddea9df1fe7e9ebf

[ "Apache-2.0" ]

2

2020-11-07T12:23:21.000Z

2021-11-07T18:21:31.000Z

# Generated by Django 2.2.16 on 2020-09-17 11:54 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('forms', '0056_allow_blank_and_none'), ] operations = [ migrations.AddField( model_name='internetnewssheet', name='monitor_code', field=models.CharField(default='', max_length=255, verbose_name='Monitor Code'), preserve_default=False, ), migrations.AddField( model_name='newspapersheet', name='monitor_code', field=models.CharField(default='', max_length=255, verbose_name='Monitor Code'), preserve_default=False, ), migrations.AddField( model_name='radiosheet', name='monitor_code', field=models.CharField(default='', max_length=255, verbose_name='Monitor Code'), preserve_default=False, ), migrations.AddField( model_name='televisionsheet', name='monitor_code', field=models.CharField(default='', max_length=255, verbose_name='Monitor Code'), preserve_default=False, ), migrations.AddField( model_name='twittersheet', name='monitor_code', field=models.CharField(default='', max_length=255, verbose_name='Monitor Code'), preserve_default=False, ), ]

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1

0

1

0

1

0

null

0

8

bae5061a3b630aec83e72f5faed365554449f01b

16,725

py

Python

fixture/contact.py

arseny-tsyro/python_training

187fe19166502297484c6876de7d46a0e7c80ba2

[ "Apache-2.0" ]

null

fixture/contact.py

arseny-tsyro/python_training

187fe19166502297484c6876de7d46a0e7c80ba2

[ "Apache-2.0" ]

null

fixture/contact.py

arseny-tsyro/python_training

187fe19166502297484c6876de7d46a0e7c80ba2

[ "Apache-2.0" ]

null

__author__ = 'Arseniy' from model.contact import Contact from selenium.webdriver.support.select import Select import re class ContactHelper: def __init__(self, app): self.app = app def load_home_page(self): wd = self.app.wd if len(wd.find_elements_by_link_text("Last name")) > 0: return wd.find_element_by_link_text("home").click() def select_by_index(self, index): wd = self.app.wd wd.find_elements_by_name("selected[]")[index].click() def select_by_id(self, id): wd = self.app.wd wd.find_element_by_css_selector("input[value='%s']" % id).click() def open_contact_to_edit_by_index(self, index): wd = self.app.wd self.load_home_page() # go to edit page wd.find_elements_by_css_selector('img[alt="Edit"]')[index].click() def open_contact_to_edit_by_id(self, id): wd = self.app.wd self.load_home_page() # go to edit page for row in wd.find_elements_by_name("entry"): cells = row.find_elements_by_tag_name("td") row_id = cells[0].find_element_by_name("selected[]").get_attribute("value") if id == row_id: cells[7].find_element_by_css_selector('img[alt="Edit"]').click() break def open_contact_view_by_index(self, index): wd = self.app.wd self.load_home_page() wd.find_elements_by_css_selector('img[alt="Details"]')[index].click() def open_contact_view_by_id(self, id): wd = self.app.wd self.load_home_page() for row in wd.find_elements_by_name("entry"): cells = row.find_elements_by_tag_name("td") row_id = cells[0].find_element_by_name("selected[]").get_attribute("value") if id == row_id: cells[6].find_element_by_css_selector('img[alt="Details"]').click() break def create(self, contact): wd = self.app.wd # go to new contact page wd.find_element_by_link_text("add new").click() # fill in names wd.find_element_by_name("firstname").click() wd.find_element_by_name("firstname").clear() wd.find_element_by_name("firstname").send_keys(contact.firstname) wd.find_element_by_name("middlename").click() wd.find_element_by_name("middlename").clear() wd.find_element_by_name("middlename").send_keys(contact.middlename) wd.find_element_by_name("lastname").click() wd.find_element_by_name("lastname").clear() wd.find_element_by_name("lastname").send_keys(contact.lastname) wd.find_element_by_name("nickname").click() wd.find_element_by_name("nickname").clear() wd.find_element_by_name("nickname").send_keys(contact.nickname) wd.find_element_by_name("title").click() wd.find_element_by_name("title").clear() wd.find_element_by_name("title").send_keys(contact.title) # fill in company data wd.find_element_by_name("company").click() wd.find_element_by_name("company").clear() wd.find_element_by_name("company").send_keys(contact.company) wd.find_element_by_name("address").click() wd.find_element_by_name("address").clear() wd.find_element_by_name("address").send_keys(contact.address) # fill in telephone numbers wd.find_element_by_name("home").click() wd.find_element_by_name("home").clear() wd.find_element_by_name("home").send_keys(contact.home_num) wd.find_element_by_name("mobile").click() wd.find_element_by_name("mobile").clear() wd.find_element_by_name("mobile").send_keys(contact.mobile_num) wd.find_element_by_name("work").click() wd.find_element_by_name("work").clear() wd.find_element_by_name("work").send_keys(contact.work_num) wd.find_element_by_name("fax").click() wd.find_element_by_name("fax").clear() wd.find_element_by_name("fax").send_keys(contact.fax_num) # fill in emails wd.find_element_by_name("email2").click() wd.find_element_by_name("email2").clear() wd.find_element_by_name("email2").send_keys(contact.email2) wd.find_element_by_name("email3").click() wd.find_element_by_name("email3").clear() wd.find_element_by_name("email3").send_keys(contact.email3) wd.find_element_by_name("homepage").click() wd.find_element_by_name("homepage").clear() wd.find_element_by_name("homepage").send_keys(contact.homepage) # fill in dates if not wd.find_element_by_xpath("//div[@id='content']/form/select[1]//option[17]").is_selected(): wd.find_element_by_xpath("//div[@id='content']/form/select[1]//option[17]").click() if not wd.find_element_by_xpath("//div[@id='content']/form/select[2]//option[4]").is_selected(): wd.find_element_by_xpath("//div[@id='content']/form/select[2]//option[4]").click() wd.find_element_by_name("byear").click() wd.find_element_by_name("byear").clear() wd.find_element_by_name("byear").send_keys(contact.byear) if not wd.find_element_by_xpath("//div[@id='content']/form/select[3]//option[16]").is_selected(): wd.find_element_by_xpath("//div[@id='content']/form/select[3]//option[16]").click() if not wd.find_element_by_xpath("//div[@id='content']/form/select[4]//option[12]").is_selected(): wd.find_element_by_xpath("//div[@id='content']/form/select[4]//option[12]").click() wd.find_element_by_name("ayear").click() wd.find_element_by_name("ayear").clear() wd.find_element_by_name("ayear").send_keys(contact.ayear) # fill in additional info wd.find_element_by_name("address2").click() wd.find_element_by_name("address2").clear() wd.find_element_by_name("address2").send_keys(contact.address2) wd.find_element_by_name("phone2").click() wd.find_element_by_name("phone2").clear() wd.find_element_by_name("phone2").send_keys(contact.phone2) wd.find_element_by_name("notes").click() wd.find_element_by_name("notes").clear() wd.find_element_by_name("notes").send_keys(contact.notes) # submit wd.find_element_by_xpath("//div[@id='content']/form/input[21]").click() self.load_home_page() self.contact_cache = None def edit_first(self, contact): self.edit_by_index(0, contact) def edit_by_index(self, index, contact): wd = self.app.wd self.load_home_page() self.open_contact_to_edit_by_index(index) # edit data self.edit(contact) # submit changes wd.find_element_by_xpath("//div[@id='content']/form[1]/input[22]").click() self.load_home_page() self.contact_cache = None def edit_by_id(self, id, contact): wd = self.app.wd self.load_home_page() self.open_contact_to_edit_by_id(id) # edit data self.edit(contact) # submit changes wd.find_element_by_xpath("//div[@id='content']/form[1]/input[22]").click() self.load_home_page() self.contact_cache = None def edit(self, contact): wd = self.app.wd if contact.firstname: wd.find_element_by_name("firstname").click() wd.find_element_by_name("firstname").clear() wd.find_element_by_name("firstname").send_keys(contact.firstname) if contact.middlename: wd.find_element_by_name("middlename").click() wd.find_element_by_name("middlename").clear() wd.find_element_by_name("middlename").send_keys(contact.middlename) if contact.lastname: wd.find_element_by_name("lastname").click() wd.find_element_by_name("lastname").clear() wd.find_element_by_name("lastname").send_keys(contact.lastname) if contact.nickname: wd.find_element_by_name("nickname").click() wd.find_element_by_name("nickname").clear() wd.find_element_by_name("nickname").send_keys(contact.nickname) if contact.company: wd.find_element_by_name("company").click() wd.find_element_by_name("company").clear() wd.find_element_by_name("company").send_keys(contact.company) if contact.title: wd.find_element_by_name("title").click() wd.find_element_by_name("title").clear() wd.find_element_by_name("title").send_keys(contact.title) if contact.address: wd.find_element_by_name("address").click() wd.find_element_by_name("address").clear() wd.find_element_by_name("address").send_keys(contact.address) if contact.home_num: wd.find_element_by_name("home").click() wd.find_element_by_name("home").clear() wd.find_element_by_name("home").send_keys(contact.home_num) if contact.mobile_num: wd.find_element_by_name("mobile").click() wd.find_element_by_name("mobile").clear() wd.find_element_by_name("mobile").send_keys(contact.mobile_num) if contact.work_num: wd.find_element_by_name("work").click() wd.find_element_by_name("work").clear() wd.find_element_by_name("work").send_keys(contact.work_num) if contact.fax_num: wd.find_element_by_name("fax").click() wd.find_element_by_name("fax").clear() wd.find_element_by_name("fax").send_keys(contact.fax_num) if contact.email: wd.find_element_by_name("email").click() wd.find_element_by_name("email").clear() wd.find_element_by_name("email").send_keys(contact.email) if contact.email2: wd.find_element_by_name("email2").click() wd.find_element_by_name("email2").clear() wd.find_element_by_name("email2").send_keys(contact.email2) if contact.email3: wd.find_element_by_name("email3").click() wd.find_element_by_name("email3").clear() wd.find_element_by_name("email3").send_keys(contact.email3) if contact.homepage: wd.find_element_by_name("homepage").click() wd.find_element_by_name("homepage").clear() wd.find_element_by_name("homepage").send_keys(contact.homepage) if not wd.find_element_by_xpath("//div[@id='content']/form[1]/select[1]//option[19]").is_selected(): wd.find_element_by_xpath("//div[@id='content']/form[1]/select[1]//option[19]").click() if not wd.find_element_by_xpath("//div[@id='content']/form[1]/select[2]//option[10]").is_selected(): wd.find_element_by_xpath("//div[@id='content']/form[1]/select[2]//option[10]").click() if contact.byear: wd.find_element_by_name("byear").click() wd.find_element_by_name("byear").clear() wd.find_element_by_name("byear").send_keys(contact.byear) if not wd.find_element_by_xpath("//div[@id='content']/form[1]/select[3]//option[7]").is_selected(): wd.find_element_by_xpath("//div[@id='content']/form[1]/select[3]//option[7]").click() if not wd.find_element_by_xpath("//div[@id='content']/form[1]/select[4]//option[9]").is_selected(): wd.find_element_by_xpath("//div[@id='content']/form[1]/select[4]//option[9]").click() if contact.ayear: wd.find_element_by_name("ayear").click() wd.find_element_by_name("ayear").clear() wd.find_element_by_name("ayear").send_keys(contact.ayear) if contact.address2: wd.find_element_by_name("address2").click() wd.find_element_by_name("address2").clear() wd.find_element_by_name("address2").send_keys(contact.address2) if contact.phone2: wd.find_element_by_name("phone2").click() wd.find_element_by_name("phone2").clear() wd.find_element_by_name("phone2").send_keys(contact.phone2) if contact.notes: wd.find_element_by_name("notes").click() wd.find_element_by_name("notes").clear() wd.find_element_by_name("notes").send_keys(contact.notes) def delete_first(self): self.delete_by_index(0) def delete_by_index(self, index): wd = self.app.wd self.select_by_index(index) # submit deletion wd.find_element_by_xpath("//div[@id='content']/form[2]/div[2]/input").click() # accept and close dialogue window wd.switch_to_alert().accept() self.load_home_page() self.contact_cache = None def delete_by_id(self, id): wd = self.app.wd self.select_by_id(id) # submit deletion wd.find_element_by_xpath("//div[@id='content']/form[2]/div[2]/input").click() # accept and close dialogue window wd.switch_to_alert().accept() self.load_home_page() self.contact_cache = None def add_to_group(self, contact, group): wd = self.app.wd self.load_home_page() self.select_by_id(contact.id) select = Select(wd.find_element_by_name("to_group")) select.select_by_visible_text(group.name.strip()) wd.find_element_by_name("add").click() def remove_from_group(self, contact, group): wd = self.app.wd self.load_home_page() select = Select(wd.find_element_by_name("group")) select.select_by_visible_text(group.name.strip()) self.select_by_id(contact.id) wd.find_element_by_name("remove").click() def count(self): wd = self.app.wd self.load_home_page() return len(wd.find_elements_by_name("selected[]")) contact_cache = None def get_contact_list(self): if self.contact_cache is None: wd = self.app.wd self.load_home_page() self.contact_cache = [] for row in wd.find_elements_by_name("entry"): cells = row.find_elements_by_tag_name("td") last_name = cells[1].text first_name = cells[2].text id = cells[0].find_element_by_tag_name("input").get_attribute("value") all_emails = cells[4].text all_phones = cells[5].text self.contact_cache.append(Contact(id=id, firstname=first_name, lastname=last_name, all_phones_from_home_page=all_phones, all_emails_from_home_page=all_emails)) return list(self.contact_cache) def get_contact_info_from_edit_page(self, index): wd = self.app.wd self.open_contact_to_edit_by_index(index) id = wd.find_element_by_name("id").get_attribute("value") firstname = wd.find_element_by_name("firstname").get_attribute("value") lastname = wd.find_element_by_name("lastname").get_attribute("value") home_num = wd.find_element_by_name("home").get_attribute("value") mobile_num = wd.find_element_by_name("mobile").get_attribute("value") work_num = wd.find_element_by_name("work").get_attribute("value") phone2 = wd.find_element_by_name("phone2").get_attribute("value") email = wd.find_element_by_name("email").get_attribute("value") email2 = wd.find_element_by_name("email2").get_attribute("value") email3 = wd.find_element_by_name("email3").get_attribute("value") return Contact(id=id, firstname=firstname, lastname=lastname, home_num=home_num, mobile_num=mobile_num, work_num=work_num, phone2=phone2, email=email, email2=email2, email3=email3) def get_contact_from_view_page(self, index): wd = self.app.wd self.open_contact_view_by_index(index) text = wd.find_element_by_id("content").text home_num = re.search("H: (.*)", text).group(1) mobile_num = re.search("M: (.*)", text).group(1) work_num = re.search("W: (.*)", text).group(1) phone2 = re.search("P: (.*)", text).group(1) return Contact(home_num=home_num, mobile_num=mobile_num, work_num=work_num, phone2=phone2) def get_text_from_view_page(self, index): wd = self.app.wd self.open_contact_view_by_index(index) return wd.find_element_by_id("content").text def get_text_from_view_page_by_id(self, id): wd = self.app.wd self.open_contact_view_by_id(id) return wd.find_element_by_id("content").text

46.587744

108

0.638924

2,331

16,725

4.240669

0.062205

0.100759

0.214365

0.239757

0.853617

0.836115

0.798786

0.738897

0.708245

0.675569

0

0.0099

0.220927

16,725

358

109

46.717877

0.748734

0.019312

0

0.598706

0

0.126122

0.058788

0

1

0.07767

false

0

0.009709

0

0.116505

0

null

0

1

0

null

0

8

242977075403643fb7167dc9e8cea6a4c6cc8ff5

3,910

py

Python

Leetcode/Python/_1700.py

Xrenya/algorithms

aded82cacde2f4f2114241907861251e0e2e5638

[ "MIT" ]

1

2021-11-28T15:03:32.000Z

Leetcode/Python/_1700.py

Xrenya/algorithms

aded82cacde2f4f2114241907861251e0e2e5638

[ "MIT" ]

null

Leetcode/Python/_1700.py

Xrenya/algorithms

aded82cacde2f4f2114241907861251e0e2e5638

[ "MIT" ]

null

class Solution: def countStudents(self, students: List[int], sandwiches: List[int]) -> int: hashStudent = {0:0, 1:0} for student in students: hashStudent[student] += 1 for sandwich in sandwiches: if hashStudent[sandwich] == 0: break else: hashStudent[sandwich] -= 1 return sum(hashStudent.values()) class Solution: def countStudents(self, students: List[int], sandwiches: List[int]) -> int: hashStudent = {0:0, 1:0} hashSandwich = {0:0, 1:0} for student in students: hashStudent[student] += 1 for sandwich in sandwiches: hashSandwich[sandwich] += 1 while True: if students[0] != sandwiches[0]: students.append(students.pop(0)) if hashSandwich[sandwiches[0]] > 0 and hashStudent[sandwiches[0]] == 0: break else: students.pop(0) firstS = sandwiches.pop(0) hashSandwich[firstS] -= 1 hashStudent[firstS] -= 1 if len(students) == 0: break return hashStudent[0] + hashStudent[1] class Solution: def countStudents(self, students: List[int], sandwiches: List[int]) -> int: count = 0 hashStudent = {0:0, 1:0} hashSandwich = {0:0, 1:0} for student in students: hashStudent[student] += 1 for sandwich in sandwiches: hashSandwich[sandwich] += 1 flag = True while flag: if students[0] != sandwiches[0]: students.append(students.pop(0)) if hashSandwich[sandwiches[0]] > 0 and hashStudent[sandwiches[0]] == 0: break else: students.pop(0) firstS = sandwiches.pop(0) hashSandwich[firstS] -= 1 hashStudent[firstS] -= 1 if len(students) == 0: break return hashStudent[0] + hashStudent[1] class Solution: def countStudents(self, students: List[int], sandwiches: List[int]) -> int: count = 0 hashStudent = {0:0, 1:0} hashSandwich = {0:0, 1:0} for student in students: hashStudent[student] += 1 for sandwich in sandwiches: hashSandwich[sandwich] += 1 flag = True while flag: if students[0] != sandwiches[0]: students.append(students.pop(0)) if hashSandwich[sandwiches[0]] > 0 and hashStudent[sandwiches[0]] == 0: flag = False break else: students.pop(0) firstS = sandwiches.pop(0) hashSandwich[firstS] -= 1 hashStudent[firstS] -= 1 if len(students) == 0: flag = False break return hashStudent[0] + hashStudent[1] class Solution: def countStudents(self, students: List[int], sandwiches: List[int]) -> int: count = 0 hashStudent = collections.Counter(students) hashSandwich = collections.Counter(sandwiches) while True: if students[0] != sandwiches[0]: students.append(students.pop(0)) if hashSandwich[sandwiches[0]] > 0 and hashStudent[sandwiches[0]] == 0: break else: students.pop(0) firstS = sandwiches.pop(0) hashSandwich[firstS] -= 1 hashStudent[firstS] -= 1 if len(students) == 0: break return hashStudent[0] + hashStudent[1]

34.298246

87

0.488235

371

3,910

5.145553

0.09434

0.015715

0.050288

0.014667

0.915663

0

0.04183

0.413043

3,910

113

88

34.60177

0.789978

0

0.94898

0

1

0.05102

false

0

0.153061

0

null

0

1

0

1

0

null

0

7

2449a2db0f98cca476cc614c1796ef1e9e116549

100

py

Python

neighbors/__init__.py

DanielCastriani/machine-learning-algorithms

5a1f361b283a751af0cb0157e28bfda2fb38d656

[ "MIT" ]

3

2020-12-31T04:53:05.000Z

2021-12-20T14:43:34.000Z

neighbors/__init__.py

DanielCastriani/machine-learning-algorithms

5a1f361b283a751af0cb0157e28bfda2fb38d656

[ "MIT" ]

null

neighbors/__init__.py

DanielCastriani/machine-learning-algorithms

5a1f361b283a751af0cb0157e28bfda2fb38d656

[ "MIT" ]

null

from neighbors.knn_classifier import KNNClassifier from neighbors.knn_regressor import KNNRegressor

33.333333

50

0.9

12

100

7.333333

0.666667

0.295455

0.363636

0

0.08

100

2

51

50

0.956522

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

79f9da13f93de264ecce9c02d00bc3ef8830e5dd

31,023

py

Python

tensorflow_model_analysis/slicer/auto_slicing_util_test.py

Mikehem/tfx

e803ea6778d8550ec77dcc92bc8172f1a3a90f38

[ "Apache-2.0" ]

null

tensorflow_model_analysis/slicer/auto_slicing_util_test.py

Mikehem/tfx

e803ea6778d8550ec77dcc92bc8172f1a3a90f38

[ "Apache-2.0" ]

null

tensorflow_model_analysis/slicer/auto_slicing_util_test.py

Mikehem/tfx

e803ea6778d8550ec77dcc92bc8172f1a3a90f38

[ "Apache-2.0" ]

null

# Lint as: python3 # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://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. """Tests for auto slicing utilities.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import pandas as pd from pandas._testing import assert_frame_equal import tensorflow as tf from tensorflow_model_analysis.metrics import metric_types from tensorflow_model_analysis.proto import metrics_for_slice_pb2 from tensorflow_model_analysis.slicer import auto_slicing_util from tensorflow_model_analysis.slicer import slicer_lib from google.protobuf import text_format from tensorflow_metadata.proto.v0 import statistics_pb2 class AutoSlicingUtilTest(tf.test.TestCase): def _get_metrics(self): return [ text_format.Parse( """ slice_key { } metric_keys_and_values { key { name: "accuracy" } value { bounded_value { value { value: 0.8 } lower_bound { value: 0.5737843 } upper_bound { value: 1.0262157 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 0.5737843 } upper_bound { value: 1.0262157 } t_distribution_value { sample_mean { value: 0.8 } sample_standard_deviation { value: 0.1 } sample_degrees_of_freedom { value: 9 } unsampled_value { value: 0.8 } } } } } metric_keys_and_values { key { name: "example_count" } value { bounded_value { value { value: 1500 } lower_bound { value: 1500 } upper_bound { value: 1500 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 1500 } upper_bound { value: 1500 } t_distribution_value { sample_mean { value: 1500 } sample_standard_deviation { value: 0 } sample_degrees_of_freedom { value: 9 } unsampled_value { value: 1500 } } } } } """, metrics_for_slice_pb2.MetricsForSlice()), text_format.Parse( """ slice_key { single_slice_keys { column: 'age' bytes_value: '[1.0, 6.0)' } } metric_keys_and_values { key { name: "accuracy" } value { bounded_value { value { value: 0.4 } lower_bound { value: 0.3737843 } upper_bound { value: 0.6262157 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 0.3737843 } upper_bound { value: 0.6262157 } t_distribution_value { sample_mean { value: 0.4 } sample_standard_deviation { value: 0.1 } sample_degrees_of_freedom { value: 9 } unsampled_value { value: 0.4 } } } } } metric_keys_and_values { key { name: "example_count" } value { bounded_value { value { value: 500 } lower_bound { value: 500 } upper_bound { value: 500 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 500 } upper_bound { value: 500 } t_distribution_value { sample_mean { value: 500 } sample_standard_deviation { value: 0 } sample_degrees_of_freedom { value: 9 } unsampled_value { value: 500 } } } } } """, metrics_for_slice_pb2.MetricsForSlice()), text_format.Parse( """ slice_key { single_slice_keys { column: 'age' bytes_value: '[6.0, 12.0)' } } metric_keys_and_values { key { name: "accuracy" } value { bounded_value { value { value: 0.79 } lower_bound { value: 0.5737843 } upper_bound { value: 1.0262157 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 0.5737843 } upper_bound { value: 1.0262157 } t_distribution_value { sample_mean { value: 0.79 } sample_standard_deviation { value: 0.1 } sample_degrees_of_freedom { value: 9 } unsampled_value { value: 0.79 } } } } } metric_keys_and_values { key { name: "example_count" } value { bounded_value { value { value: 500 } lower_bound { value: 500 } upper_bound { value: 500 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 500 } upper_bound { value: 500 } t_distribution_value { sample_mean { value: 500 } sample_standard_deviation { value: 0 } sample_degrees_of_freedom { value: 9 } unsampled_value { value: 500} } } } } """, metrics_for_slice_pb2.MetricsForSlice()), text_format.Parse( """ slice_key { single_slice_keys { column: 'age' bytes_value: '[12.0, 18.0)' } } metric_keys_and_values { key { name: "accuracy" } value { bounded_value { value { value: 0.9 } lower_bound { value: 0.5737843 } upper_bound { value: 1.0262157 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 0.5737843 } upper_bound { value: 1.0262157 } t_distribution_value { sample_mean { value: 0.9 } sample_standard_deviation { value: 0.1 } sample_degrees_of_freedom { value: 9 } unsampled_value { value: 0.9 } } } } } metric_keys_and_values { key { name: "example_count" } value { bounded_value { value { value: 500 } lower_bound { value: 500 } upper_bound { value: 500 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 500 } upper_bound { value: 500 } t_distribution_value { sample_mean { value: 500 } sample_standard_deviation { value: 0 } sample_degrees_of_freedom { value: 9 } unsampled_value { value: 500} } } } } """, metrics_for_slice_pb2.MetricsForSlice()), text_format.Parse( """ slice_key { single_slice_keys { column: 'country' bytes_value: 'USA' } } metric_keys_and_values { key { name: "accuracy" } value { bounded_value { value { value: 0.9 } lower_bound { value: 0.5737843 } upper_bound { value: 1.0262157 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 0.5737843 } upper_bound { value: 1.0262157 } t_distribution_value { sample_mean { value: 0.9 } sample_standard_deviation { value: 0.1 } sample_degrees_of_freedom { value: 9 } unsampled_value { value: 0.9 } } } } } metric_keys_and_values { key { name: "example_count" } value { bounded_value { value { value: 500 } lower_bound { value: 500 } upper_bound { value: 500 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 500 } upper_bound { value: 500 } t_distribution_value { sample_mean { value: 500 } sample_standard_deviation { value: 0 } sample_degrees_of_freedom { value: 9 } unsampled_value { value: 500} } } } } """, metrics_for_slice_pb2.MetricsForSlice()), text_format.Parse( """ slice_key { single_slice_keys { column: 'country' bytes_value: 'USA' } single_slice_keys { column: 'age' bytes_value: '[12.0, 18.0)' } } metric_keys_and_values { key { name: "accuracy" } value { bounded_value { value { value: 0.9 } lower_bound { value: 0.5737843 } upper_bound { value: 1.0262157 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 0.5737843 } upper_bound { value: 1.0262157 } t_distribution_value { sample_mean { value: 0.9 } sample_standard_deviation { value: 0.1 } sample_degrees_of_freedom { value: 9 } unsampled_value { value: 0.9 } } } } } metric_keys_and_values { key { name: "example_count" } value { bounded_value { value { value: 500 } lower_bound { value: 500 } upper_bound { value: 500 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 500 } upper_bound { value: 500 } t_distribution_value { sample_mean { value: 500 } sample_standard_deviation { value: 0 } sample_degrees_of_freedom { value: 9 } unsampled_value { value: 500} } } } } """, metrics_for_slice_pb2.MetricsForSlice()) ] def test_partition_slices_without_metric_sub_key(self): metrics = self._get_metrics() result = auto_slicing_util.partition_slices( metrics, metric_key=metric_types.MetricKey(name='accuracy'), comparison_type='LOWER') self.assertCountEqual([s.slice_key for s in result[0]], [(('age', '[1.0, 6.0)'),)]) self.assertCountEqual([s.slice_key for s in result[1]], [(('age', '[6.0, 12.0)'),), (('age', '[12.0, 18.0)'),), (('country', 'USA'),), (('country', 'USA'), ('age', '[12.0, 18.0)'))]) result = auto_slicing_util.partition_slices( metrics, metric_key=metric_types.MetricKey(name='accuracy'), comparison_type='HIGHER') self.assertCountEqual([s.slice_key for s in result[0]], [(('age', '[12.0, 18.0)'),), (('country', 'USA'),), (('country', 'USA'), ('age', '[12.0, 18.0)'))]) self.assertCountEqual([s.slice_key for s in result[1]], [(('age', '[1.0, 6.0)'),), (('age', '[6.0, 12.0)'),)]) def test_partition_slices_with_metric_sub_key(self): metrics = self._get_metrics() # Set sub_key. for metric in metrics: for kv in metric.metric_keys_and_values: kv.key.sub_key.MergeFrom(metric_types.SubKey(class_id=0).to_proto()) result = auto_slicing_util.partition_slices( metrics, metric_key=metric_types.MetricKey( name='accuracy', sub_key=metric_types.SubKey(class_id=0)), comparison_type='LOWER') self.assertCountEqual([s.slice_key for s in result[0]], [(('age', '[1.0, 6.0)'),)]) self.assertCountEqual([s.slice_key for s in result[1]], [(('age', '[6.0, 12.0)'),), (('age', '[12.0, 18.0)'),), (('country', 'USA'),), (('country', 'USA'), ('age', '[12.0, 18.0)'))]) result = auto_slicing_util.partition_slices( metrics, metric_key=metric_types.MetricKey( name='accuracy', sub_key=metric_types.SubKey(class_id=0)), comparison_type='HIGHER') self.assertCountEqual([s.slice_key for s in result[0]], [(('age', '[12.0, 18.0)'),), (('country', 'USA'),), (('country', 'USA'), ('age', '[12.0, 18.0)'))]) self.assertCountEqual([s.slice_key for s in result[1]], [(('age', '[1.0, 6.0)'),), (('age', '[6.0, 12.0)'),)]) def test_find_top_slices(self): input_slices = [ auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[6.0, 12.0)'),), num_examples=1500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.8, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[12.0, 18.0)'),), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0.00001, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[12.0, 18.0)'), ('country', 'USA')), num_examples=500.0, slice_metric=0.91, base_metric=0.8, p_value=0.000011, effect_size=0.91, raw_slice_metrics=None) ] self.assertCountEqual( auto_slicing_util.find_top_slices( input_slices, rank_by='EFFECT_SIZE', prune_subset_slices=False), [ auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[12.0, 18.0)'), ('country', 'USA')), num_examples=500.0, slice_metric=0.91, base_metric=0.8, p_value=0.000011, effect_size=0.91, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[12.0, 18.0)'),), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0.00001, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[6.0, 12.0)'),), num_examples=1500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.8, raw_slice_metrics=None), ]) self.assertCountEqual( auto_slicing_util.find_top_slices( input_slices, rank_by='EFFECT_SIZE', prune_subset_slices=True), [ auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[12.0, 18.0)'),), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0.00001, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[6.0, 12.0)'),), num_examples=1500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.8, raw_slice_metrics=None), ]) self.assertCountEqual( auto_slicing_util.find_top_slices(input_slices, rank_by='PVALUE'), [ auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[6.0, 12.0)'),), num_examples=1500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.8, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[12.0, 18.0)'),), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0.00001, effect_size=0.9, raw_slice_metrics=None), ]) self.assertCountEqual( auto_slicing_util.find_top_slices( input_slices, min_num_examples=1000, rank_by='EFFECT_SIZE'), [ auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[6.0, 12.0)'),), num_examples=1500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.8, raw_slice_metrics=None), ]) def test_revert_slice_keys_for_transformed_features(self): statistics = text_format.Parse( """ datasets{ num_examples: 1500 features { path { step: 'country' } type: STRING string_stats { unique: 10 } } features { path { step: 'age' } type: INT num_stats { common_stats { num_non_missing: 1500 min_num_values: 1 max_num_values: 1 } min: 1 max: 18 histograms { buckets { low_value: 1 high_value: 6.0 sample_count: 500 } buckets { low_value: 6.0 high_value: 12.0 sample_count: 500 } buckets { low_value: 12.0 high_value: 18.0 sample_count: 500 } type: QUANTILES } } } } """, statistics_pb2.DatasetFeatureStatisticsList()) slices = [ auto_slicing_util.SliceComparisonResult( slice_key=(), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('transformed_age', 1),), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('transformed_age', 2),), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('country', 'USA'),), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), ] expected_slices = [ auto_slicing_util.SliceComparisonResult( slice_key=(), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '(1.0, 6.0]'),), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '(6.0, 12.0]'),), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('country', 'USA'),), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), ] actual = auto_slicing_util.revert_slice_keys_for_transformed_features( slices, statistics) self.assertEqual(actual, expected_slices) def test_remove_subset_slices(self): input_slices = [ auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[12.0, 18.0)'),), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[12.0, 18.0)'), ('country', 'USA')), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[6.0, 12.0)'), ('country', 'UK')), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[6.0, 12.0)'), ('country', 'UK'), ('sex', 'M')), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), ] expected_slices = [ auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[12.0, 18.0)'),), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[6.0, 12.0)'), ('country', 'UK')), num_examples=500.0, slice_metric=0.9, base_metric=0.8, p_value=0, effect_size=0.9, raw_slice_metrics=None), ] self.assertCountEqual( auto_slicing_util.remove_subset_slices(input_slices), expected_slices) self.assertCountEqual(auto_slicing_util.remove_subset_slices([]), []) def test_is_significant_slice(self): self.assertEqual( auto_slicing_util._is_significant_slice(0.8, 0.001, 100, 0.9, 0.001, 1000, 'LOWER', 0.01)[0], True) # Test zero std. deviation for overall dataset. with self.assertRaises(AssertionError): self.assertEqual( auto_slicing_util._is_significant_slice(0.8, 0.001, 100, 0.9, 0, 1000, 'LOWER', 0.01)[0], True) # Test zero std. deviation for slice. with self.assertRaises(AssertionError): auto_slicing_util._is_significant_slice(0.8, 0, 100, 0.9, 0, 1000, 'LOWER', 0.01) def test_get_slices_as_dataframe(self): input_slices = [ auto_slicing_util.SliceComparisonResult( slice_key=(('native-country', 'United-States'),), num_examples=29170, slice_metric=0.09, base_metric=0.087, p_value=0, effect_size=0.46, raw_slice_metrics=text_format.Parse( """ slice_key { single_slice_keys { column: "native-country" bytes_value: "United-States" } } metric_keys_and_values { key { name: "false_positives" } value { bounded_value { lower_bound { value: 1754.6514199722158 } upper_bound { value: 2092.488580027784 } value { value: 1923.57 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 1754.6514199722158 } upper_bound { value: 2092.488580027784 } t_distribution_value { sample_mean { value: 1923.57 } sample_standard_deviation { value: 85.13110418664061 } sample_degrees_of_freedom { value: 99 } unsampled_value { value: 1943.0 } } } } } metric_keys_and_values { key { name: "false_negatives" } value { bounded_value { lower_bound { value: 3595.413107983637 } upper_bound { value: 4195.886892016363 } value { value: 3895.65 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 3595.413107983637 } upper_bound { value: 4195.886892016363 } t_distribution_value { sample_mean { value: 3895.65 } sample_standard_deviation { value: 151.31253252729257 } sample_degrees_of_freedom { value: 99 } unsampled_value { value: 3935.0 } } } } }""", metrics_for_slice_pb2.MetricsForSlice())), auto_slicing_util.SliceComparisonResult( slice_key=(('age', '[58.0, 90.0)'),), num_examples=2999, slice_metric=0.09, base_metric=0.0875, p_value=7.8, effect_size=0.98, raw_slice_metrics=text_format.Parse( """ slice_key { single_slice_keys { column: "age" bytes_value: "[58.0, 90.0)" } } metric_keys_and_values { key { name: "false_positives" } value { bounded_value { lower_bound { value: 167.54646972321814 } upper_bound { value: 236.37353027678188 } value { value: 201.96 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 167.54646972321814 } upper_bound { value: 236.37353027678188 } t_distribution_value { sample_mean { value: 201.96 } sample_standard_deviation { value: 17.343632837435358 } sample_degrees_of_freedom { value: 99 } unsampled_value { value: 204.0 } } } } } metric_keys_and_values { key { name: "false_negatives" } value { bounded_value { lower_bound { value: 486.4402337348782 } upper_bound { value: 610.479766265122 } value { value: 548.46 } methodology: POISSON_BOOTSTRAP } confidence_interval { lower_bound { value: 486.4402337348782 } upper_bound { value: 610.479766265122 } t_distribution_value { sample_mean { value: 548.46 } sample_standard_deviation { value: 31.256544914589938 } sample_degrees_of_freedom { value: 99 } unsampled_value { value: 554.0 } } } } }""", metrics_for_slice_pb2.MetricsForSlice())) ] additional_metric_keys = [ metric_types.MetricKey('false_positives'), metric_types.MetricKey('false_negatives') ] expected_dataframe_data = [{ 'Slice': slicer_lib.stringify_slice_key(input_slices[0].slice_key), 'Size': input_slices[0].num_examples, 'Slice metric': input_slices[0].slice_metric, 'Base metric': input_slices[0].base_metric, 'P-Value': input_slices[0].p_value, 'Effect size': input_slices[0].effect_size, str(additional_metric_keys[0]): 1923.57, str(additional_metric_keys[1]): 3895.65 }, { 'Slice': slicer_lib.stringify_slice_key(input_slices[1].slice_key), 'Size': input_slices[1].num_examples, 'Slice metric': input_slices[1].slice_metric, 'Base metric': input_slices[1].base_metric, 'P-Value': input_slices[1].p_value, 'Effect size': input_slices[1].effect_size, str(additional_metric_keys[0]): 201.96, str(additional_metric_keys[1]): 548.46 }] expected_dataframe_column_labels = [ 'Slice', 'Size', 'Slice metric', 'Base metric', 'P-Value', 'Effect size', str(additional_metric_keys[0]), str(additional_metric_keys[1]) ] expected_dataframe = pd.DataFrame( expected_dataframe_data, columns=expected_dataframe_column_labels) expected_dataframe.set_index('Slice', inplace=True) actual_dataframe = auto_slicing_util.get_slices_as_dataframe( input_slices, additional_metric_keys) assert_frame_equal(actual_dataframe, expected_dataframe) if __name__ == '__main__': tf.test.main()

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0.680926

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31,023

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0

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1

0

1

0

null

0

7

035bbbcac13f11224ec90a3411b8f76e396690cd

52

py

Python

RhyAn/component_filter/__init__.py

kaveenr/rhyan

5d603023e0fafa11079f3bbd3a48c9cbe8babb8f

[ "Apache-2.0" ]

null

RhyAn/component_filter/__init__.py

kaveenr/rhyan

5d603023e0fafa11079f3bbd3a48c9cbe8babb8f

[ "Apache-2.0" ]

null

RhyAn/component_filter/__init__.py

kaveenr/rhyan

5d603023e0fafa11079f3bbd3a48c9cbe8babb8f

[ "Apache-2.0" ]

2

2019-11-04T05:59:07.000Z

2020-09-21T20:25:46.000Z

from .FundementalBandPass import FundementalBandPass

52

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cefa1b3d3fad012ee64c295f5f4bffbc78f33546

15,742

py

Python

tests/functional/test_tables.py

davidesner/sapi-python-client

0f16fa30cb93e6dc99b16e983c139f9c3abee67e

[ "MIT" ]

3

2017-07-13T13:17:37.000Z

2017-11-08T19:01:29.000Z

tests/functional/test_tables.py

davidesner/sapi-python-client

0f16fa30cb93e6dc99b16e983c139f9c3abee67e

[ "MIT" ]

45

2017-07-13T07:49:51.000Z

2021-08-19T15:43:39.000Z

tests/functional/test_tables.py

davidesner/sapi-python-client

0f16fa30cb93e6dc99b16e983c139f9c3abee67e

[ "MIT" ]

5

2017-07-14T05:50:49.000Z

2021-12-28T17:01:29.000Z

import os import unittest import tempfile import csv import warnings from requests import exceptions from kbcstorage.tables import Tables from kbcstorage.buckets import Buckets class TestTables(unittest.TestCase): def setUp(self): self.tables = Tables(os.getenv('KBC_TEST_API_URL'), os.getenv('KBC_TEST_TOKEN')) self.buckets = Buckets(os.getenv('KBC_TEST_API_URL'), os.getenv('KBC_TEST_TOKEN')) try: self.buckets.delete('in.c-py-test-tables', force=True) except exceptions.HTTPError as e: if e.response.status_code != 404: raise self.buckets.create(name='py-test-tables', stage='in') # https://github.com/boto/boto3/issues/454 warnings.simplefilter("ignore", ResourceWarning) def tearDown(self): try: self.buckets.delete('in.c-py-test-tables', force=True) except exceptions.HTTPError as e: if e.response.status_code != 404: raise def test_create_table_minimal(self): file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'ping', 'col2': 'pong'}) os.close(file) table_id = self.tables.create(name='some-table', file_path=path, bucket_id='in.c-py-test-tables') table_info = self.tables.detail(table_id) with self.subTest(): self.assertEqual(table_id, table_info['id']) with self.subTest(): self.assertEqual('in.c-py-test-tables', table_info['bucket']['id']) def test_create_table_primary_key(self): file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'ping', 'col2': 'pong'}) writer.writerow({'col1': 'pong', 'col2': 'ping'}) os.close(file) table_id = self.tables.create(name='some-table', file_path=path, bucket_id='in.c-py-test-tables', primary_key=['col1', 'col2']) table_info = self.tables.detail(table_id) with self.subTest(): self.assertEqual(table_id, table_info['id']) with self.subTest(): self.assertEqual('in.c-py-test-tables', table_info['bucket']['id']) with self.subTest(): self.assertEqual(['col1', 'col2'], table_info['primaryKey']) def test_table_detail(self): file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'ping', 'col2': 'pong'}) table_id = self.tables.create(name='some-table', file_path=path, bucket_id='in.c-py-test-tables') table_info = self.tables.detail(table_id) with self.subTest(): self.assertEqual(table_id, table_info['id']) with self.subTest(): self.assertEqual('some-table', table_info['name']) with self.subTest(): self.assertTrue('in.c-py-test-tables.some-table' in table_info['uri']) with self.subTest(): self.assertEqual([], table_info['primaryKey']) with self.subTest(): self.assertEqual(['col1', 'col2'], table_info['columns']) with self.subTest(): self.assertTrue('created' in table_info) with self.subTest(): self.assertTrue('lastImportDate' in table_info) with self.subTest(): self.assertTrue('lastChangeDate' in table_info) with self.subTest(): self.assertTrue('rowsCount' in table_info) with self.subTest(): self.assertTrue('metadata' in table_info) with self.subTest(): self.assertTrue('bucket' in table_info) with self.subTest(): self.assertTrue('columnMetadata' in table_info) def test_delete_table(self): file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'ping', 'col2': 'pong'}) table_id = self.tables.create(name='some-table', file_path=path, bucket_id='in.c-py-test-tables') table_info = self.tables.detail(table_id) self.assertEqual(table_id, table_info['id']) self.tables.delete(table_id) try: self.tables.detail('some-totally-non-existent-table') except exceptions.HTTPError as e: if e.response.status_code != 404: raise def test_invalid_create(self): try: self.tables.detail('some-totally-non-existent-table') except exceptions.HTTPError as e: if e.response.status_code != 404: raise def test_import_table_incremental(self): file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'ping', 'col2': 'pong'}) os.close(file) table_id = self.tables.create(name='some-table', file_path=path, bucket_id='in.c-py-test-tables') table_info = self.tables.detail(table_id) with self.subTest(): self.assertEqual(table_id, table_info['id']) with self.subTest(): self.assertEqual(1, table_info['rowsCount']) file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'foo', 'col2': 'bar'}) os.close(file) self.tables.load(table_id=table_id, file_path=path, is_incremental=True) table_info = self.tables.detail(table_id) with self.subTest(): self.assertEqual(table_id, table_info['id']) with self.subTest(): self.assertEqual(2, table_info['rowsCount']) def test_import_table_no_incremental(self): file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'ping', 'col2': 'pong'}) os.close(file) table_id = self.tables.create(name='some-table', file_path=path, bucket_id='in.c-py-test-tables') table_info = self.tables.detail(table_id) with self.subTest(): self.assertEqual(table_id, table_info['id']) with self.subTest(): self.assertEqual(1, table_info['rowsCount']) file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'foo', 'col2': 'bar'}) os.close(file) self.tables.load(table_id=table_id, file_path=path, is_incremental=False) table_info = self.tables.detail(table_id) with self.subTest(): self.assertEqual(table_id, table_info['id']) with self.subTest(): self.assertEqual(1, table_info['rowsCount']) def test_table_preview(self): file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'ping', 'col2': 'pong'}) writer.writerow({'col1': 'foo', 'col2': 'bar'}) os.close(file) table_id = self.tables.create(name='some-table', file_path=path, bucket_id='in.c-py-test-tables') contents = self.tables.preview(table_id=table_id) lines = contents.split('\n') self.assertEqual(['', '"col1","col2"', '"foo","bar"', '"ping","pong"'], sorted(lines)) def test_table_export(self): file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'ping', 'col2': 'pong'}) writer.writerow({'col1': 'foo', 'col2': 'bar'}) os.close(file) table_id = self.tables.create(name='some-table', file_path=path, bucket_id='in.c-py-test-tables') result = self.tables.export(table_id=table_id) self.assertIsNotNone(result) def test_table_export_file_plain(self): file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'ping', 'col2': 'pong'}) writer.writerow({'col1': 'foo', 'col2': 'bar'}) os.close(file) table_id = self.tables.create(name='some-table', file_path=path, bucket_id='in.c-py-test-tables') temp_path = tempfile.TemporaryDirectory() local_path = self.tables.export_to_file(table_id=table_id, path_name=temp_path.name, is_gzip=False) with open(local_path, mode='rt') as file: lines = file.readlines() self.assertEqual(['"col1","col2"\n', '"foo","bar"\n', '"ping","pong"\n'], sorted(lines)) def test_table_export_file_gzip(self): file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'ping', 'col2': 'pong'}) writer.writerow({'col1': 'foo', 'col2': 'bar'}) os.close(file) table_id = self.tables.create(name='some-table', file_path=path, bucket_id='in.c-py-test-tables') temp_path = tempfile.TemporaryDirectory() local_path = self.tables.export_to_file(table_id=table_id, path_name=temp_path.name, is_gzip=True) with open(local_path, mode='rt') as file: lines = file.readlines() self.assertEqual(['"col1","col2"\n', '"foo","bar"\n', '"ping","pong"\n'], sorted(lines)) def test_table_export_sliced(self): file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'ping', 'col2': 'pong'}) os.close(file) table_id = self.tables.create(name='some-table', file_path=path, bucket_id='in.c-py-test-tables') table_info = self.tables.detail(table_id) with self.subTest(): self.assertEqual(table_id, table_info['id']) with self.subTest(): self.assertEqual(1, table_info['rowsCount']) file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'foo', 'col2': 'bar'}) os.close(file) self.tables.load(table_id=table_id, file_path=path, is_incremental=True) temp_path = tempfile.TemporaryDirectory() local_path = self.tables.export_to_file(table_id=table_id, path_name=temp_path.name) with open(local_path, mode='rt') as file: lines = file.readlines() self.assertEqual(['"col1","col2"\n', '"foo","bar"\n', '"ping","pong"\n'], sorted(lines)) def test_table_columns(self): file, path = tempfile.mkstemp(prefix='sapi-test') with open(path, 'w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=['col1', 'col2', 'col3', 'col4'], lineterminator='\n', delimiter=',', quotechar='"') writer.writeheader() writer.writerow({'col1': 'ping', 'col2': 'pong', 'col3': 'king', 'col4': 'kong'}) os.close(file) table_id = self.tables.create(name='some-table', file_path=path, bucket_id='in.c-py-test-tables') temp_path = tempfile.TemporaryDirectory() local_path = self.tables.export_to_file(table_id=table_id, path_name=temp_path.name, is_gzip=False, columns=['col3', 'col2']) with open(local_path, mode='rt') as file: lines = file.readlines() self.assertEqual(['"col3","col2"\n', '"king","pong"\n'], sorted(lines))

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30326caa783e4d732322132751dcd968674908dd

69,081

py

Python

tests/test_merge.py

airbus/decomon

f3668fbd8edd0def4e23aa0634eebfec58349c35

[ "MIT" ]

11

2021-11-03T12:09:50.000Z

2022-02-20T21:42:13.000Z

tests/test_merge.py

airbus/decomon

f3668fbd8edd0def4e23aa0634eebfec58349c35

[ "MIT" ]

1

2022-02-18T13:40:46.000Z

tests/test_merge.py

airbus/decomon

f3668fbd8edd0def4e23aa0634eebfec58349c35

[ "MIT" ]

null

# Test unit for decomon with Dense layers from __future__ import absolute_import import pytest import numpy as np from decomon.layers.decomon_layers import to_monotonic from decomon.layers.decomon_merge_layers import ( DecomonConcatenate, DecomonAverage, DecomonMaximum, DecomonMinimum, DecomonAdd, DecomonSubtract, DecomonMultiply, DecomonDot, ) from tensorflow.keras.layers import Concatenate, Average, Maximum, Minimum, Add, Subtract, Input, Multiply, Dot from . import ( get_tensor_decomposition_1d_box, get_standart_values_1d_box, assert_output_properties_box, assert_output_properties_box_linear, get_standard_values_multid_box, get_tensor_decomposition_multid_box, ) import tensorflow.python.keras.backend as K from numpy.testing import assert_almost_equal from tensorflow.keras.models import Model @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (2, "hybrid", 32), (3, "hybrid", 32), (4, "hybrid", 32), (5, "hybrid", 32), (6, "hybrid", 32), (7, "hybrid", 32), (8, "hybrid", 32), (9, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (2, "forward", 32), (3, "forward", 32), (4, "forward", 32), (5, "forward", 32), (6, "forward", 32), (7, "forward", 32), (8, "forward", 32), (9, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (2, "ibp", 32), (3, "ibp", 32), (4, "ibp", 32), (5, "ibp", 32), (6, "ibp", 32), (7, "ibp", 32), (8, "ibp", 32), (9, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (2, "hybrid", 64), (3, "hybrid", 64), (4, "hybrid", 64), (5, "hybrid", 64), (6, "hybrid", 64), (7, "hybrid", 64), (8, "hybrid", 64), (9, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (2, "forward", 64), (3, "forward", 64), (4, "forward", 64), (5, "forward", 64), (6, "forward", 64), (7, "forward", 64), (8, "forward", 64), (9, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (2, "ibp", 64), (3, "ibp", 64), (4, "ibp", 64), (5, "ibp", 64), (6, "ibp", 64), (7, "ibp", 64), (8, "ibp", 64), (9, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (2, "hybrid", 16), (3, "hybrid", 16), (4, "hybrid", 16), (5, "hybrid", 16), (6, "hybrid", 16), (7, "hybrid", 16), (8, "hybrid", 16), (9, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (2, "forward", 16), (3, "forward", 16), (4, "forward", 16), (5, "forward", 16), (6, "forward", 16), (7, "forward", 16), (8, "forward", 16), (9, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), (2, "ibp", 16), (3, "ibp", 16), (4, "ibp", 16), (5, "ibp", 16), (6, "ibp", 16), (7, "ibp", 16), (8, "ibp", 16), (9, "ibp", 16), ], ) def test_DecomonAdd_1D_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonAdd(dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) y_ = y0_ + y1_ z_ = z0_ u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_floatx("float{}".format(32)) K.set_epsilon(eps) @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (2, "hybrid", 32), (3, "hybrid", 32), (4, "hybrid", 32), (5, "hybrid", 32), (6, "hybrid", 32), (7, "hybrid", 32), (8, "hybrid", 32), (9, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (2, "forward", 32), (3, "forward", 32), (4, "forward", 32), (5, "forward", 32), (6, "forward", 32), (7, "forward", 32), (8, "forward", 32), (9, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (2, "ibp", 32), (3, "ibp", 32), (4, "ibp", 32), (5, "ibp", 32), (6, "ibp", 32), (7, "ibp", 32), (8, "ibp", 32), (9, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (2, "hybrid", 64), (3, "hybrid", 64), (4, "hybrid", 64), (5, "hybrid", 64), (6, "hybrid", 64), (7, "hybrid", 64), (8, "hybrid", 64), (9, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (2, "forward", 64), (3, "forward", 64), (4, "forward", 64), (5, "forward", 64), (6, "forward", 64), (7, "forward", 64), (8, "forward", 64), (9, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (2, "ibp", 64), (3, "ibp", 64), (4, "ibp", 64), (5, "ibp", 64), (6, "ibp", 64), (7, "ibp", 64), (8, "ibp", 64), (9, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (2, "hybrid", 16), (3, "hybrid", 16), (4, "hybrid", 16), (5, "hybrid", 16), (6, "hybrid", 16), (7, "hybrid", 16), (8, "hybrid", 16), (9, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (2, "forward", 16), (3, "forward", 16), (4, "forward", 16), (5, "forward", 16), (6, "forward", 16), (7, "forward", 16), (8, "forward", 16), (9, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), (2, "ibp", 16), (3, "ibp", 16), (4, "ibp", 16), (5, "ibp", 16), (6, "ibp", 16), (7, "ibp", 16), (8, "ibp", 16), (9, "ibp", 16), ], ) def test_DecomonAverage_1D_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonAverage(dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) z_ = z0_ y_ = (y0_ + y1_) / 2.0 u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_floatx("float{}".format(32)) K.set_epsilon(eps) @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (2, "hybrid", 32), (3, "hybrid", 32), (4, "hybrid", 32), (5, "hybrid", 32), (6, "hybrid", 32), (7, "hybrid", 32), (8, "hybrid", 32), (9, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (2, "forward", 32), (3, "forward", 32), (4, "forward", 32), (5, "forward", 32), (6, "forward", 32), (7, "forward", 32), (8, "forward", 32), (9, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (2, "ibp", 32), (3, "ibp", 32), (4, "ibp", 32), (5, "ibp", 32), (6, "ibp", 32), (7, "ibp", 32), (8, "ibp", 32), (9, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (2, "hybrid", 64), (3, "hybrid", 64), (4, "hybrid", 64), (5, "hybrid", 64), (6, "hybrid", 64), (7, "hybrid", 64), (8, "hybrid", 64), (9, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (2, "forward", 64), (3, "forward", 64), (4, "forward", 64), (5, "forward", 64), (6, "forward", 64), (7, "forward", 64), (8, "forward", 64), (9, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (2, "ibp", 64), (3, "ibp", 64), (4, "ibp", 64), (5, "ibp", 64), (6, "ibp", 64), (7, "ibp", 64), (8, "ibp", 64), (9, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (2, "hybrid", 16), (3, "hybrid", 16), (4, "hybrid", 16), (5, "hybrid", 16), (6, "hybrid", 16), (7, "hybrid", 16), (8, "hybrid", 16), (9, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (2, "forward", 16), (3, "forward", 16), (4, "forward", 16), (5, "forward", 16), (6, "forward", 16), (7, "forward", 16), (8, "forward", 16), (9, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), (2, "ibp", 16), (3, "ibp", 16), (4, "ibp", 16), (5, "ibp", 16), (6, "ibp", 16), (7, "ibp", 16), (8, "ibp", 16), (9, "ibp", 16), ], ) def test_DecomonSubstract_1D_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonSubtract(dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ y_ = y0_ - y1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) z_ = z0_ u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_floatx("float{}".format(32)) K.set_epsilon(eps) @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (2, "hybrid", 32), (3, "hybrid", 32), (4, "hybrid", 32), (5, "hybrid", 32), (6, "hybrid", 32), (7, "hybrid", 32), (8, "hybrid", 32), (9, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (2, "forward", 32), (3, "forward", 32), (4, "forward", 32), (5, "forward", 32), (6, "forward", 32), (7, "forward", 32), (8, "forward", 32), (9, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (2, "ibp", 32), (3, "ibp", 32), (4, "ibp", 32), (5, "ibp", 32), (6, "ibp", 32), (7, "ibp", 32), (8, "ibp", 32), (9, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (2, "hybrid", 64), (3, "hybrid", 64), (4, "hybrid", 64), (5, "hybrid", 64), (6, "hybrid", 64), (7, "hybrid", 64), (8, "hybrid", 64), (9, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (2, "forward", 64), (3, "forward", 64), (4, "forward", 64), (5, "forward", 64), (6, "forward", 64), (7, "forward", 64), (8, "forward", 64), (9, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (2, "ibp", 64), (3, "ibp", 64), (4, "ibp", 64), (5, "ibp", 64), (6, "ibp", 64), (7, "ibp", 64), (8, "ibp", 64), (9, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (2, "hybrid", 16), (3, "hybrid", 16), (4, "hybrid", 16), (5, "hybrid", 16), (6, "hybrid", 16), (7, "hybrid", 16), (8, "hybrid", 16), (9, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (2, "forward", 16), (3, "forward", 16), (4, "forward", 16), (5, "forward", 16), (6, "forward", 16), (7, "forward", 16), (8, "forward", 16), (9, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), (2, "ibp", 16), (3, "ibp", 16), (4, "ibp", 16), (5, "ibp", 16), (6, "ibp", 16), (7, "ibp", 16), (8, "ibp", 16), (9, "ibp", 16), ], ) def test_DecomonMaximum_1D_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonMaximum(dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) y_ = np.maximum(y0_, y1_) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 z_ = z0_ if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_floatx("float{}".format(32)) K.set_epsilon(eps) @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (2, "hybrid", 32), (3, "hybrid", 32), (4, "hybrid", 32), (5, "hybrid", 32), (6, "hybrid", 32), (7, "hybrid", 32), (8, "hybrid", 32), (9, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (2, "forward", 32), (3, "forward", 32), (4, "forward", 32), (5, "forward", 32), (6, "forward", 32), (7, "forward", 32), (8, "forward", 32), (9, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (2, "ibp", 32), (3, "ibp", 32), (4, "ibp", 32), (5, "ibp", 32), (6, "ibp", 32), (7, "ibp", 32), (8, "ibp", 32), (9, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (2, "hybrid", 64), (3, "hybrid", 64), (4, "hybrid", 64), (5, "hybrid", 64), (6, "hybrid", 64), (7, "hybrid", 64), (8, "hybrid", 64), (9, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (2, "forward", 64), (3, "forward", 64), (4, "forward", 64), (5, "forward", 64), (6, "forward", 64), (7, "forward", 64), (8, "forward", 64), (9, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (2, "ibp", 64), (3, "ibp", 64), (4, "ibp", 64), (5, "ibp", 64), (6, "ibp", 64), (7, "ibp", 64), (8, "ibp", 64), (9, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (2, "hybrid", 16), (3, "hybrid", 16), (4, "hybrid", 16), (5, "hybrid", 16), (6, "hybrid", 16), (7, "hybrid", 16), (8, "hybrid", 16), (9, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (2, "forward", 16), (3, "forward", 16), (4, "forward", 16), (5, "forward", 16), (6, "forward", 16), (7, "forward", 16), (8, "forward", 16), (9, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), (2, "ibp", 16), (3, "ibp", 16), (4, "ibp", 16), (5, "ibp", 16), (6, "ibp", 16), (7, "ibp", 16), (8, "ibp", 16), (9, "ibp", 16), ], ) def test_DecomonMinimum_1D_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonMinimum(dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) y_ = np.minimum(y0_, y1_) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 z_ = z0_ if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_epsilon(eps) K.set_floatx("float32") @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (2, "hybrid", 32), (3, "hybrid", 32), (4, "hybrid", 32), (5, "hybrid", 32), (6, "hybrid", 32), (7, "hybrid", 32), (8, "hybrid", 32), (9, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (2, "forward", 32), (3, "forward", 32), (4, "forward", 32), (5, "forward", 32), (6, "forward", 32), (7, "forward", 32), (8, "forward", 32), (9, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (2, "ibp", 32), (3, "ibp", 32), (4, "ibp", 32), (5, "ibp", 32), (6, "ibp", 32), (7, "ibp", 32), (8, "ibp", 32), (9, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (2, "hybrid", 64), (3, "hybrid", 64), (4, "hybrid", 64), (5, "hybrid", 64), (6, "hybrid", 64), (7, "hybrid", 64), (8, "hybrid", 64), (9, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (2, "forward", 64), (3, "forward", 64), (4, "forward", 64), (5, "forward", 64), (6, "forward", 64), (7, "forward", 64), (8, "forward", 64), (9, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (2, "ibp", 64), (3, "ibp", 64), (4, "ibp", 64), (5, "ibp", 64), (6, "ibp", 64), (7, "ibp", 64), (8, "ibp", 64), (9, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (2, "hybrid", 16), (3, "hybrid", 16), (4, "hybrid", 16), (5, "hybrid", 16), (6, "hybrid", 16), (7, "hybrid", 16), (8, "hybrid", 16), (9, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (2, "forward", 16), (3, "forward", 16), (4, "forward", 16), (5, "forward", 16), (6, "forward", 16), (7, "forward", 16), (8, "forward", 16), (9, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), (2, "ibp", 16), (3, "ibp", 16), (4, "ibp", 16), (5, "ibp", 16), (6, "ibp", 16), (7, "ibp", 16), (8, "ibp", 16), (9, "ibp", 16), ], ) def test_DecomonConcatenate_1D_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonConcatenate(axis=-1, dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) y_ = np.concatenate([y0_, y1_], -1) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 z_ = z0_ if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_epsilon(eps) K.set_floatx("float32") @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), ], ) def test_DecomonAdd_multiD_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonAdd(dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) y_ = y0_ + y1_ # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 z_ = z0_ if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_epsilon(eps) K.set_floatx("float32") @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), ], ) def test_DecomonSubstract_multiD_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonSubtract(dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) y_ = y0_ - y1_ # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 z_ = z0_ if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_floatx("float32") K.set_epsilon(eps) @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), ], ) def test_DecomonAverage_multiD_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonAverage(dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) y_ = (y0_ + y1_) / 2.0 # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 z_ = z0_ if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_epsilon(eps) K.set_floatx("float32") @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), ], ) def test_DecomonMaximum_multiD_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonMaximum(dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) y_ = np.maximum(y0_, y1_) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 z_ = z0_ if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_epsilon(eps) K.set_floatx("float32") @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), ], ) def test_DecomonMinimum_multiD_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonMinimum(dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) y_ = np.minimum(y0_, y1_) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 z_ = z0_ if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_floatx("float32") K.set_epsilon(eps) @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), ], ) def test_DecomonConcatenate_multiD_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonConcatenate(dc_decomp=False, mode=mode, axis=-1) inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) y_ = np.concatenate([y0_, y1_], -1) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 z_ = z0_ if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_epsilon(eps) K.set_floatx("float32") ### to monotonic @pytest.mark.parametrize("n0", [0, 1, 2, 3, 4, 5, 6, 7]) def test_DecomonAdd_1D_box_to_monotonic(n0): ref_op = Add() inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, 1), dc_decomp=False)[0] x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = inputs_0_[1] + inputs_1_[1] assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add" ) @pytest.mark.parametrize("n0", [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) def test_DecomonAverage_1D_box_to_monotonic(n0): ref_op = Average() inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, 1), dc_decomp=False)[0] x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = (inputs_0_[1] + inputs_1_[1]) / 2.0 assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="average" ) @pytest.mark.parametrize("n0", [0, 1, 2, 3, 4, 5, 6, 7]) def test_DecomonSubtract_1D_box_to_monotonic(n0): ref_op = Subtract() inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, 1), dc_decomp=False)[0] x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = inputs_0_[1] - inputs_1_[1] assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="substract" ) @pytest.mark.parametrize("n0", [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) def test_DecomonMaximum_1D_box_to_monotonic(n0): ref_op = Maximum() inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, 1), dc_decomp=False)[0] output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = np.maximum(inputs_0_[1], inputs_1_[1]) assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="maximum" ) @pytest.mark.parametrize("n0", [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) def test_DecomonMinimum_1D_box_to_monotonic(n0): ref_op = Minimum() inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, 1), dc_decomp=False)[0] output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = np.minimum(inputs_0_[1], inputs_1_[1]) assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="maximum" ) @pytest.mark.parametrize("n0", [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) def test_DecomonConcatenate_1D_box_to_monotonic(n0): ref_op = Concatenate(axis=-1) inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, 1), dc_decomp=False)[0] output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = np.concatenate([inputs_0_[1], inputs_1_[1]], -1) assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="maximum" ) #### to_monotonic multiD @pytest.mark.parametrize("n0", [0, 1]) def test_DecomonAdd_multiD_box_to_monotonic(n0): ref_op = Add() inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, x0.shape[-1]), dc_decomp=False)[0] output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = y0 + y1 assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add" ) @pytest.mark.parametrize("n0", [0, 1]) def test_DecomonSubstract_multiD_box_to_monotonic(n0): ref_op = Subtract() inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, x0.shape[-1]), dc_decomp=False)[0] output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = y0 - y1 assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="substract" ) @pytest.mark.parametrize("n0", [0, 1]) def test_DecomonAverage_multiD_box_to_monotonic(n0): ref_op = Average() inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, x0.shape[-1]), dc_decomp=False)[0] output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = (y0 + y1) / 2.0 assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="average" ) @pytest.mark.parametrize("n0", [0, 1]) def test_DecomonMaximum_multiD_box_to_monotonic(n0): ref_op = Maximum() inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, x0.shape[-1]), dc_decomp=False)[0] output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = np.maximum(y0, y1) assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="maximum" ) @pytest.mark.parametrize("n0", [0, 1]) def test_DecomonMinimum_multiD_box_to_monotonic(n0): ref_op = Minimum() inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, x0.shape[-1]), dc_decomp=False)[0] output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = np.minimum(y0, y1) assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="minimum" ) @pytest.mark.parametrize("n0", [0, 1]) def test_DecomonConcatenate_multiD_box_to_monotonic(n0): ref_op = Concatenate(axis=-1) inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, x0.shape[-1]), dc_decomp=False)[0] output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = np.concatenate([y0, y1], -1) assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="concatenate" ) # other operators: Multiply, Dot @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (2, "hybrid", 32), (3, "hybrid", 32), (4, "hybrid", 32), (5, "hybrid", 32), (6, "hybrid", 32), (7, "hybrid", 32), (8, "hybrid", 32), (9, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (2, "forward", 32), (3, "forward", 32), (4, "forward", 32), (5, "forward", 32), (6, "forward", 32), (7, "forward", 32), (8, "forward", 32), (9, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (2, "ibp", 32), (3, "ibp", 32), (4, "ibp", 32), (5, "ibp", 32), (6, "ibp", 32), (7, "ibp", 32), (8, "ibp", 32), (9, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (2, "hybrid", 64), (3, "hybrid", 64), (4, "hybrid", 64), (5, "hybrid", 64), (6, "hybrid", 64), (7, "hybrid", 64), (8, "hybrid", 64), (9, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (2, "forward", 64), (3, "forward", 64), (4, "forward", 64), (5, "forward", 64), (6, "forward", 64), (7, "forward", 64), (8, "forward", 64), (9, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (2, "ibp", 64), (3, "ibp", 64), (4, "ibp", 64), (5, "ibp", 64), (6, "ibp", 64), (7, "ibp", 64), (8, "ibp", 64), (9, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (2, "hybrid", 16), (3, "hybrid", 16), (4, "hybrid", 16), (5, "hybrid", 16), (6, "hybrid", 16), (7, "hybrid", 16), (8, "hybrid", 16), (9, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (2, "forward", 16), (3, "forward", 16), (4, "forward", 16), (5, "forward", 16), (6, "forward", 16), (7, "forward", 16), (8, "forward", 16), (9, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), (2, "ibp", 16), (3, "ibp", 16), (4, "ibp", 16), (5, "ibp", 16), (6, "ibp", 16), (7, "ibp", 16), (8, "ibp", 16), (9, "ibp", 16), ], ) def test_DecomonMultiply_1D_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonMultiply(dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) y_ = y0_ * y1_ # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 z_ = z0_ if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_floatx("float32") K.set_epsilon(eps) @pytest.mark.parametrize("n0", [0, 1, 2, 3, 4, 5, 6, 7]) def test_DecomonMultiply_1D_box_to_monotonic(n0): ref_op = Multiply() inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, 1), dc_decomp=False)[0] x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = y0 * y1 assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add" ) @pytest.mark.parametrize( "n0, mode, floatx", [ (0, "hybrid", 32), (1, "hybrid", 32), (0, "forward", 32), (1, "forward", 32), (0, "ibp", 32), (1, "ibp", 32), (0, "hybrid", 64), (1, "hybrid", 64), (0, "forward", 64), (1, "forward", 64), (0, "ibp", 64), (1, "ibp", 64), (0, "hybrid", 16), (1, "hybrid", 16), (0, "forward", 16), (1, "forward", 16), (0, "ibp", 16), (1, "ibp", 16), ], ) def test_DecomonMultiply_multiD_box(n0, mode, floatx): K.set_floatx("float{}".format(floatx)) eps = K.epsilon() decimal = 5 if floatx == 16: K.set_epsilon(1e-2) decimal = 2 decomon_op = DecomonMultiply(dc_decomp=False, mode=mode) inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0 x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1 x0_, y0_, z0_, u_c0_, W_u0_, b_u0_, l_c0_, W_l0_, b_l0_ = inputs_0_ x1_, y1_, z1_, u_c1_, W_u1_, b_u1_, l_c1_, W_l1_, b_l1_ = inputs_1_ if mode == "hybrid": output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) if mode == "forward": output_decomon = decomon_op([z0, W_u0, b_u0, W_l0, b_l0] + [z1, W_u1, b_u1, W_l1, b_l1]) if mode == "ibp": output_decomon = decomon_op([u_c0, l_c0] + [u_c1, l_c1]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) y_ = y0_ * y1_ # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) u_, w_u_, b_u_, l_, w_l_, b_l_ = [None] * 6 z_ = z0_ if mode == "hybrid": z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ if mode == "forward": z_, w_u_, b_u_, w_l_, b_l_ = output_ if mode == "ibp": u_, l_ = output_ assert_output_properties_box( inputs_0_[0], y_, None, None, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add", decimal=decimal ) K.set_floatx("float32") K.set_epsilon(eps) @pytest.mark.parametrize("n0", [0, 1]) def test_DecomonMultiply_multiD_box_to_monotonic(n0): ref_op = Multiply() inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, x0.shape[1]), dc_decomp=False)[0] output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = y0 * y1 assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add" ) """ @pytest.mark.parametrize("n0", [0, 1, 2, 3, 4, 5, 6, 7]) def test_DecomonDot_1D_box(n0): decomon_op = DecomonDot(axes=(-1, -1), dc_decomp=False) inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ output_decomon = decomon_op(inputs_0[2:] + inputs_1[2:]) model = Model(inputs_0[2:] + inputs_1[2:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[2:] + inputs_1_[2:]) z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ y_ = np.dot(y0, y1) assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add" ) @pytest.mark.parametrize("n0", [0, 1, 2, 3, 4, 5, 6, 7]) def test_DecomonDot_1D_box_to_monotonic(n0): ref_op = Dot(axes=(-1, -1)) inputs_0 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_1 = get_tensor_decomposition_1d_box(dc_decomp=False) inputs_0_ = get_standart_values_1d_box(n0, dc_decomp=False) inputs_1_ = get_standart_values_1d_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, x0.shape[-1]), dc_decomp=False) output_decomon = decomon_op(inputs_0[1:] + inputs_1[1:]) model = Model(inputs_0[1:] + inputs_1[1:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[1:] + inputs_1_[1:]) y_, z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add" ) @pytest.mark.parametrize("n0", [0, 1]) def test_DecomonDot_multiD_box(n0): decomon_op = DecomonDot(axes=(-1, -1), dc_decomp=False) inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ output_decomon = decomon_op(inputs_0[1:] + inputs_1[1:]) model = Model(inputs_0[1:] + inputs_1[1:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[1:] + inputs_1_[1:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) y_, z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add" ) @pytest.mark.parametrize("n0", [0, 1]) def test_DecomonDot_multiD_box_to_monotonic(n0): ref_op = Dot(axes=(1, 1)) inputs_0 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_1 = get_tensor_decomposition_multid_box(n0, dc_decomp=False) inputs_0_ = get_standard_values_multid_box(n0, dc_decomp=False) inputs_1_ = get_standard_values_multid_box(n0, dc_decomp=False) x0, y0, z0, u_c0, W_u0, b_u0, l_c0, W_l0, b_l0 = inputs_0_ x1, y1, z1, u_c1, W_u1, b_u1, l_c1, W_l1, b_l1 = inputs_1_ ref_op([inputs_0[0], inputs_1[0]]) decomon_op = to_monotonic(ref_op, input_dim=(2, x0.shape[-1]), dc_decomp=False) output_decomon = decomon_op(inputs_0[1:] + inputs_1[1:]) model = Model(inputs_0[1:] + inputs_1[1:], output_decomon) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) output_ = model.predict(inputs_0_[1:] + inputs_1_[1:]) # output_ = K.function(inputs_0[1:]+inputs_1[1:], output_decomon)(inputs_0_[1:]+inputs_1_[1:]) y_, z_, u_, w_u_, b_u_, l_, w_l_, b_l_ = output_ assert_output_properties_box_linear( inputs_0_[0], y_, z_[:, 0], z_[:, 1], u_, w_u_, b_u_, l_, w_l_, b_l_, name="add" ) """

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oanda_bot/__init__.py

ibaris/oanda-bot-python

cedafb259b899fd0b096dabb50b7cb6420f096cc

[ "MIT" ]

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2020-07-17T09:41:50.000Z

2022-03-19T01:35:35.000Z

oanda_bot/__init__.py

ibaris/oanda-bot-python

cedafb259b899fd0b096dabb50b7cb6420f096cc

[ "MIT" ]

9

2020-09-03T08:42:01.000Z

2022-01-13T03:02:03.000Z

oanda_bot/__init__.py

ibaris/oanda-bot-python

cedafb259b899fd0b096dabb50b7cb6420f096cc

[ "MIT" ]

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2020-10-25T03:09:08.000Z

2021-10-13T08:27:01.000Z

from oanda_bot.oanda_bot import Bot

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cases/migrations/0004_auto_20190523_1053.py

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491b91bcc7eef9a32bda05ad3236b14748ba3b50

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cases/migrations/0004_auto_20190523_1053.py

johngriebel/APDIncidentReports

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cases/migrations/0004_auto_20190523_1053.py

johngriebel/APDIncidentReports

491b91bcc7eef9a32bda05ad3236b14748ba3b50

[ "MIT" ]

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# Generated by Django 2.2.1 on 2019-05-23 14:53 import datetime from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('cases', '0003_auto_20180406_1304'), ] operations = [ migrations.RemoveField( model_name='incident', name='damaged_amount_currency', ), migrations.RemoveField( model_name='incident', name='stolen_amount_currency', ), migrations.AddField( model_name='address', name='created_timestamp', field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AddField( model_name='address', name='updated_timestamp', field=models.DateTimeField(auto_now=True), ), migrations.AddField( model_name='city', name='created_timestamp', field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AddField( model_name='city', name='updated_timestamp', field=models.DateTimeField(auto_now=True), ), migrations.AddField( model_name='incident', name='created_timestamp', field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AddField( model_name='incident', name='updated_timestamp', field=models.DateTimeField(auto_now=True), ), migrations.AddField( model_name='incidentfile', name='created_timestamp', field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AddField( model_name='incidentfile', name='updated_timestamp', field=models.DateTimeField(auto_now=True), ), migrations.AddField( model_name='incidentinvolvedparty', name='created_timestamp', field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AddField( model_name='incidentinvolvedparty', name='updated_timestamp', field=models.DateTimeField(auto_now=True), ), migrations.AddField( model_name='offense', name='created_timestamp', field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AddField( model_name='offense', name='updated_timestamp', field=models.DateTimeField(auto_now=True), ), migrations.AddField( model_name='officer', name='created_timestamp', field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AddField( model_name='officer', name='updated_timestamp', field=models.DateTimeField(auto_now=True), ), migrations.AddField( model_name='state', name='created_timestamp', field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AddField( model_name='state', name='updated_timestamp', field=models.DateTimeField(auto_now=True), ), migrations.AlterField( model_name='incident', name='damaged_amount', field=models.PositiveIntegerField(null=True), ), migrations.AlterField( model_name='incident', name='report_datetime', field=models.DateTimeField(default=datetime.datetime.now), ), migrations.AlterField( model_name='incident', name='stolen_amount', field=models.PositiveIntegerField(null=True), ), ]

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