Home > numpy-1.24.2

numpy API Documentation Modules Classes Names

search in docstrings

Search bar offers the following options:

Term presence. The below example searches for documents that must contain “foo”, might contain “bar” and must not contain “baz”: +foo bar -baz
Wildcards. The below example searches for documents with words beginning with “foo”: foo*
Search in specific fields. The following search matches all objects in "twisted.mail" that matches “search”: +qname:twisted.mail.* +search
Possible fields: 'name', 'qname' (fully qualified name), 'docstring', and 'kind'. Last two fields are only applicable if "search in docstrings" is enabled.
Fuzzy matches. The following search matches all documents that have a word within 1 edit distance of “foo”: foo~1

Results provided by Lunr.js

Module test_kind

Classes

TestKind

Package tests

Modules

test_abstract_interface
test_array_from_pyobj
test_assumed_shape
test_block_docstring
test_callback
test_character
test_common
test_compile_function
test_crackfortran
test_docs
test_f2cmap
test_f2py2e
test_kind
test_mixed
test_module_doc
test_parameter
test_quoted_character
test_regression
test_return_character
test_return_complex
test_return_integer
test_return_logical
test_return_real
test_semicolon_split
test_size
test_string
test_symbolic
test_value_attrspec
util

`numpy.f2py.tests.test_kind`

module documentation

(source)

Undocumented

Class TestKind Undocumented

API Documentation for numpy, generated by pydoctor 22.9.1.dev0 at 2023-02-06 00:57:38.