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Merge Primer*Weights into Primer3Parameters, remove Primer3Input #112
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Original file line number | Diff line number | Diff line change |
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@@ -83,6 +83,55 @@ | |
return f"(min:{self.min}, opt:{self.opt}, max:{self.max})" | ||
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@dataclass(slots=True, frozen=True, init=True) | ||
class WeightRange(Generic[Numeric]): | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I like this, but a few thoughts:
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"""Stores a pair of penalty weights. | ||
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Weights are used when comparing a primer or probe property (e.g. primer length) to the optimal | ||
parameterized value. If the value is less than, then the `lt` weight is used. If the value is | ||
greater than, then the `gt` weight is used. | ||
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The two values can be either int or float values but must be of the same type within one | ||
Range object (for example, `lt` cannot be a float while `gt` is an int). | ||
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Examples of interacting with the `Range` class | ||
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```python | ||
>>> range = WeightRange(lt=1.0, gt=4.0) | ||
>>> print(range) | ||
(lt:1.0, gt:4.0) | ||
>>> list(range) | ||
[1.0, 4.0] | ||
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``` | ||
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Attributes: | ||
lt: the minimum value (inclusive) | ||
gt: the maximum value (inclusive) | ||
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Raises: | ||
ValueError: if lt and gt are not the same type | ||
""" | ||
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lt: Numeric | ||
gt: Numeric | ||
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def __post_init__(self) -> None: | ||
dtype = type(self.lt) | ||
if not isinstance(self.gt, dtype): | ||
raise TypeError( | ||
"Min and max must be the same type; " f"received min: {dtype}, max: {type(self.gt)}" | ||
) | ||
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def __iter__(self) -> Iterator[float]: | ||
"""Returns an iterator of min and max""" | ||
return iter([self.lt, self.gt]) | ||
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def __str__(self) -> str: | ||
"""Returns a string representation of min and max""" | ||
return f"(lt:{self.lt}, gt:{self.gt})" | ||
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@unique | ||
class Strand(StrEnum): | ||
"""Represents the strand of a span to the genome.""" | ||
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If we're going to rename it from
PrimerAndAmplicon
I'd vote forPrimerParameters
as it feels like the majority of the parameters are around primers. Also, can be used for designing just left primers (no amplicon), just right primers (no amplicon) or both (and therefore an amplicon).