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Merge branch 'master' into update-ndarray
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.github/workflows/openssf-scorecard.yml

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# Upload the results to GitHub's code scanning dashboard.
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- name: "Upload to code-scanning"
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uses: github/codeql-action/upload-sarif@1b549b9259bda1cb5ddde3b41741a82a2d15a841 # v3.28.13
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uses: github/codeql-action/upload-sarif@45775bd8235c68ba998cffa5171334d58593da47 # v3.28.15
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with:
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sarif_file: results.sarif

CHANGELOG.md

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* Resolved an issue with an incorrect result returned due to missing dependency from the strided kernel on a copy event in `dpnp.erf` [#2378](https://github.com/IntelPython/dpnp/pull/2378)
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* Updated `conda create` commands build and install instructions of `Quick start guide` to avoid a compilation error [#2395](https://github.com/IntelPython/dpnp/pull/2395)
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* Added handling of empty string passed to a test env variable defining data type scope as a `False` value [#2415](https://github.com/IntelPython/dpnp/pull/2415)
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## [0.17.0] - 02/26/2025

dpnp/tests/config.py

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import os
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all_int_types = int(os.getenv("DPNP_TEST_ALL_INT_TYPES", 0))
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float16_types = int(os.getenv("DPNP_TEST_FLOAT_16", 0))
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complex_types = int(os.getenv("DPNP_TEST_COMPLEX_TYPES", 0))
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bool_types = int(os.getenv("DPNP_TEST_BOOL_TYPES", 0))
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all_int_types = bool(os.getenv("DPNP_TEST_ALL_INT_TYPES", 0))
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float16_types = bool(os.getenv("DPNP_TEST_FLOAT_16", 0))
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complex_types = bool(os.getenv("DPNP_TEST_COMPLEX_TYPES", 0))
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bool_types = bool(os.getenv("DPNP_TEST_BOOL_TYPES", 0))

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