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esim param_source: add is_abstract flag
Allow omitting some ParamSource subclassed from ParamSource.get_all_implementations(). My previous attempts at automagically detecting abstract classes failed conceptually, and the easiest, most explicit way is already used in ConfigurableParameter: add an is_abstract flag. Prep for Ie7171c152a7b478736f8825050305606b5af5735 Change-Id: Icfccdd0a8ecb5e0e9d22afa490d73c9f1849a64c
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@@ -31,6 +31,7 @@ class ParamSourceUndefinedExn(ParamSourceExn):
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class ParamSource:
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'abstract parameter source. For usage, see personalization.BatchPersonalization.'
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is_abstract = True
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# This name should be short but descriptive, useful for a user interface, like 'random decimal digits'.
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name = 'none'
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@@ -41,7 +42,7 @@ class ParamSource:
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# return a set() so that multiple inheritance does not return dups
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return set(c
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for c in all_subclasses_of(cls)
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if ((not blacklist) or (c not in blacklist))
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if (not c.is_abstract) and ((not blacklist) or (c not in blacklist))
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)
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@classmethod
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@@ -60,6 +61,7 @@ class ParamSource:
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class ConstantSource(ParamSource):
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'one value for all'
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is_abstract = False
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name = 'constant'
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def __init__(self, val:str):
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@@ -70,6 +72,7 @@ class ConstantSource(ParamSource):
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class RandomDigitSource(ParamSource):
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'return a different sequence of random decimal digits each'
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is_abstract = False
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name = 'random decimal digits'
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def __init__(self, num_digits, first_value, last_value):
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@@ -111,6 +114,7 @@ class RandomDigitSource(ParamSource):
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class RandomHexDigitSource(ParamSource):
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'return a different sequence of random hexadecimal digits each'
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is_abstract = False
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name = 'random hexadecimal digits'
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def __init__(self, num_digits):
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@@ -133,6 +137,7 @@ class RandomHexDigitSource(ParamSource):
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class IncDigitSource(RandomDigitSource):
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'incrementing sequence of digits'
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is_abstract = False
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name = 'incrementing decimal digits'
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def __init__(self, *args, **kwargs):
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@@ -162,6 +167,7 @@ class IncDigitSource(RandomDigitSource):
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class CsvSource(ParamSource):
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'apply a column from a CSV row, as passed in to ParamSource.get_next(csv_row)'
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is_abstract = False
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name = 'from CSV'
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def __init__(self, csv_column):
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