Files
catalyst/catalyst/pipeline/api_utils.py
T
Conner Fromknecht fce97176d6 Changed zipline -> catalyst import paths
* Updated cython build scripts
 * Updated setup.py to to install catalyst package
 * Updated momentum example to use catalyst package
 * catalyst executable now supports loading pipelines from multiple bundles
2017-06-19 14:43:10 -07:00

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1.6 KiB
Python

"""
Utilities for creating public APIs (e.g. argument validation decorators).
"""
from catalyst.utils.input_validation import preprocess
def restrict_to_dtype(dtype, message_template):
"""
A factory for decorators that restrict Term methods to only be callable on
Terms with a specific dtype.
This is conceptually similar to
catalyst.utils.input_validation.expect_dtypes, but provides more flexibility
for providing error messages that are specifically targeting Term methods.
Parameters
----------
dtype : numpy.dtype
The dtype on which the decorated method may be called.
message_template : str
A template for the error message to be raised.
`message_template.format` will be called with keyword arguments
`method_name`, `expected_dtype`, and `received_dtype`.
Examples
--------
@restrict_to_dtype(
dtype=float64_dtype,
message_template=(
"{method_name}() was called on a factor of dtype {received_dtype}."
"{method_name}() requires factors of dtype{expected_dtype}."
),
)
def some_factor_method(self, ...):
self.stuff_that_requires_being_float64(...)
"""
def processor(term_method, _, term_instance):
term_dtype = term_instance.dtype
if term_dtype != dtype:
raise TypeError(
message_template.format(
method_name=term_method.__name__,
expected_dtype=dtype.name,
received_dtype=term_dtype,
)
)
return term_instance
return preprocess(self=processor)