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enhancementNew feature or requestNew feature or requesthelp wantedExtra attention is neededExtra attention is needed
Description
The following is a summary of the failing tests in the array-api-tests suite. When you have managed to make the test pass, mark the box next to the file.
There are three main groups of tests:
1 - lazy expression and chunking related things (unique_counts, cumulative_sum etc.)
2 - indexing related things (chiefly implement fancy indexing for .slice method)
3 - improving numexpr (add op_codes such as ge_bcd etc.)
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test_utility_functions.py
: addblosc2.diff
function,squeeze
needs to be modified to return a view (at C-level, follow expand_dims) -
test_statistical_functions.py
: addcumulative_sum
andcumulative_prod
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test_special_cases.py
: everything -
test_sorting_functions.py
: addargsort
-
test_signatures.py
: everything -
test_set_functions.py
: addunique_counts
,unique_inverse
,unique_all
,unique_values
-
test_searching_functions.py
: addargmax
,argmin
,where
attribute toNDArray
,nonzero
,count_nonzero
-
test_operators_and_elementwise_functions.py
: everything -
test_manipulation_functions.py
: SERIOUS (Fatal Python error: Floating-point exception) -
test_linalg.py
: haven't implemented most things (see Array-api Linalg functions #476), which is fine, but some tests also fail because numexpr needs a ge_bcd opcode. -
test_inspection_functions
: passes all -
test_indexing_functions.py
: need to improvetake
andtake_along_axis
(latter fails tests) -
test_has_names
: fails 23 tests, need to add functions listed in comment below -
test_fft.py
: skips all tests -
test_data_type_functions.py
: a few different things (11 tests), addbroadcast_arrays
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test_creation_functions.py
: addreshape
for N-D arrays. -
test_constants.py
: passes all -
test_array_object.py
: one test takes too long for some reason sometimes
In order to run the tests, follow these steps:
- Git clone array-api test suite https://github.com/data-apis/array-api-tests
- Navigate to array-api-tests and
$ pip install -r requirements.txt
into environment. - Return to home directory, git clone blosc2, navigate to resulting directory and
pip install -e .
in your environment. - Run tests from python-blosc2 directory via
ARRAY_API_TESTS_MODULE=blosc2 pytest ../array-api-tests/array_api_tests/test_has_names.py
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enhancementNew feature or requestNew feature or requesthelp wantedExtra attention is neededExtra attention is needed