Failed hypothesis health check

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#132 opened on Jun 26, 2022 11 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty: 3/5
Estimated time: 1-2 days
Newbie friendliness: 35/100

Issue type: Bug
Clarity: Mostly clear
Activity status: Stale
Tech stack: python, tensorflow
Domain: testing

Research direction

Start in ivy/ivy_tests/test_array_api/array_api_tests/test_special_cases.py around line 1283 and inspect the test_iop parameters for ifloordiv and related operators. Reproduce the failure with the TensorFlow backend, then determine whether the strategy or test handling is responsible; done means the relevant test runs without the FailedHealthCheck.

Written by the indexing model from the issue text.

Description

hard to reproduce

Hi, I have encountered an hypothesis heath check error for the __ifloordiv__ and other similar arithmetic operator methods in test_iop when using tensorflow backend functions:

____________ test_iop[__ifloordiv__(x1_i is -0 and x2_i > 0) -> -0] ____________
iop_name = '__ifloordiv__', iop = <built-in function ifloordiv>
case = BinaryCase(<x1_i is -0 and x2_i > 0 -> -0>)
    @pytest.mark.parametrize("iop_name, iop, case", iop_params)
>   @given(
        oneway_dtypes=oneway_promotable_dtypes(dh.float_dtypes),
        oneway_shapes=oneway_broadcastable_shapes(),
        data=st.data(),
    )
E   hypothesis.errors.FailedHealthCheck: It looks like your strategy is filtering out a lot of data. Health check found 50 filtered examples but only 0 good ones. This will make your tests much slower, and also will probably distort the data generation quite a lot. You should adapt your strategy to filter less. This can also be caused by a low max_leaves parameter in recursive() calls
E   See https://hypothesis.readthedocs.io/en/latest/healthchecks.html for more information about this. If you want to disable just this health check, add HealthCheck.filter_too_much to the suppress_health_check settings for this test.
ivy/ivy_tests/test_array_api/array_api_tests/test_special_cases.py:1283: FailedHealthCheck

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Dominant language: Python
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