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Thank you for this package! I was wondering if you could extend either the functionality or the documentation of supported input datatypes of to_dense For example the following common use-case works: ...
good first issue
  • jan-engelmann
  • 4
  • Opened 
    5 days ago
  • #100

def _set_numpy_print() - None: # TODO(flying-sheep): remove once we depend on numpy =2 In file src/testing/fast_array_utils/_private.py undefined
  • flying-sheep
  • Opened 
    14 days ago
  • #97

Should we make it public or change the API to return an array by default?
component: documentation
  • flying-sheep
  • Opened 
    25 days ago
  • #89

We can use the pytest job env variable to create a new hdf5 file on __call__
  • flying-sheep
  • Opened 
    25 days ago
  • #88

calling to_dense on a csr/csc matrix will call into numba instead we could show a performance warning and fall back to .toarray()
parity
type: numpy/scipy
  • flying-sheep
  • Opened 
    on Mar 31
  • #69

This one should accept quite a lot, e.g. coo_matrix
parity
  • flying-sheep
  • Opened 
    on Mar 17
  • #64

For def test_thing(array_type, target_array_type). This doesn‘t look great: @pytest.mark.array_type(skip=NON_BASIC_FLAGS) @pytest.mark.parametrize( new_array_type , [t for t in SUPPORTED_TYPES if ...
parity
  • flying-sheep
  • Opened 
    on Mar 17
  • #63

That way we could replace anndata’s asarray
parity
  • flying-sheep
  • Opened 
    on Mar 17
  • #62

it’s unexpected if only dense arrays are allowed as input.
parity
  • flying-sheep
  • Opened 
    on Mar 17
  • #61

See https://github.com/sphinx-doc/sphinx/issues/10541
component: documentation
  • flying-sheep
  • Opened 
    on Mar 11
  • #60
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