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How to use some_parameter method in Slash

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test_caching.py

Source:test_caching.py

1"""Tests the correct caching of parameters"""2import unittest3import os4import shutil5import tempfile6import logging7from livius.video.processing.job import Job8FORMAT = '[%(asctime)-15s] %(message)s'9logging.basicConfig(format=FORMAT)10logger = logging.getLogger(__name__)11logger.setLevel(logging.DEBUG)12class JDummy(Job):13    name = 'jdummy'14    attributes_to_serialize = ['some_parameter']15    output_to_cache = ['some_output']16    def __init__(self, *args, **kwargs):17        super(JDummy, self).__init__(*args, **kwargs)18    def run(self, *args, **kwargs):19        self.some_output = self.some_parameter20        pass21    def get_outputs(self):22        super(JDummy, self).get_outputs()23        return self.some_output24class JobCacheTest(unittest.TestCase):25    def setUp(self):26        self.temporary_folder = tempfile.mkdtemp()27        if not os.path.exists(self.temporary_folder):28            os.makedirs(self.temporary_folder)29    def tearDown(self):30        shutil.rmtree(self.temporary_folder)31    def get_job(self, **kwargs):32        return JDummy(json_prefix=self.temporary_folder, **kwargs)33    def test_cache_array_int(self):34        """Tests the ability to cache dictionaries containing strings"""35        some_parameter = [1, 1, 1, 1, 3]36        job = self.get_job(some_parameter=some_parameter)37        job.process()38        self.assertTrue(job.is_up_to_date())39        out = job.get_outputs()40        self.assertEqual(some_parameter, out)41        job2 = self.get_job(some_parameter=some_parameter)42        self.assertTrue(job2.is_up_to_date())43    def test_cache_dict_string(self):44        """Tests the ability to cache dictionaries containing strings"""45        some_parameter = {"param1": "value1", "param2": "value2"}46        job = self.get_job(some_parameter=some_parameter)47        job.process()48        self.assertTrue(job.is_up_to_date())49        out = job.get_outputs()50        self.assertEqual(some_parameter, out)51        job2 = self.get_job(some_parameter=some_parameter)...

PlaceholderGenerator.py

Source:PlaceholderGenerator.py

1class PlaceholderGenerator:2    """A way to generate substitution placeholders for SQL requests3    If H is PlaceholderGenerator(positional, prefix, suffix) then H behaves4    as follows:5    str(H)               returns the string  positional6    H.some_parameter     returns the string  prefix + 'some_parameter' + suffix7    H('some_parameter')  returns the string  prefix + 'some_parameter' + suffix8    For example:9        H = PlaceholderGenerator('%s', '%(', ')s')10        f"SELECT {H}"             # produces "SELECT %s"11        f"SELECT {H.username}"    # produces "SELECT %s(username)s"12        colname = 'email'13        f"SELECT {H(colname)}"    # produces "SELECT %s(email)s"14    """15    def __init__(self, positional, prefix, suffix):16        self._positional = positional17        self._prefix = prefix18        self._suffix = suffix19    def _enclose(self, a):20        return f'{self._prefix}{a}{self._suffix}'21    def __str__(self):22        return self._positional23    def __getattr__(self, a):24        if a and a[0] == '_':25            return self.__getattribute__(a)26        p = self._enclose(a)27        return p28    def __call__(self, a):...

for_chainer_issue_3.py

Source:for_chainer_issue_3.py

1from chainer import Link, Chain, Parameter, Variable2from chainer import links as L3import numpy as np4class CustomChain(Chain):5    def __init__(self, some_parameter):6        super().__init__()7        if isinstance(some_parameter, Link) or isinstance(some_parameter, Parameter):8            with self.init_scope():9                self.some_parameter = some_parameter10        else:11            self.add_persistent("some_parameter", some_parameter)12def print_children_params_persistent(c: Chain):13    print(c._children, c._params, c._persistent)14print_children_params_persistent(CustomChain(np.array([1, 2, 3])))15print_children_params_persistent(CustomChain(Variable(np.array([1, 2, 3]))))16print_children_params_persistent(CustomChain(L.Bias()))...

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