54 lines
1.3 KiB
Plaintext
54 lines
1.3 KiB
Plaintext
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This rule raises an issue when a deprecated Numpy alias of a built-in type is used.
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== Why is this an issue?
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In NumPy, some built-in types such as `int` have aliases in the form of `numpy.int`. However, these aliases have been deprecated and should not be used anymore.
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The following deprecated aliases should be replaced with their built-in alternatives:
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[frame=all]
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[cols="^1,^1"]
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|===
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|Deprecated name|Equivalent built-in type
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|numpy.bool|bool
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|numpy.int|int
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|numpy.float|float
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|numpy.complex|complex
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|numpy.object|object
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|numpy.str|str
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|numpy.long|int
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|numpy.unicode|str
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|===
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== How to fix it
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To fix this issue, make sure to replace deprecated NumPy type aliases with their corresponding built-in types.
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=== Code examples
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==== Noncompliant code example
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[source,python,diff-id=1,diff-type=noncompliant]
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----
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import numpy as np
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def foo():
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x = np.int(42) # Noncompliant: deprecated type alias
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----
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==== Compliant solution
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[source,python,diff-id=1,diff-type=compliant]
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----
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import numpy as np
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def foo():
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x = 42 # Compliant
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----
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== Resources
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=== Documentation
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* NumPy Documentation - https://numpy.org/devdocs/user/basics.types.html#basics-types[Data types]
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* NumPy Documentation - https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations[Deprecation of aliases of builtin types]
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