[Styling] stylify using ruff (#27144)
* try to stylify using ruff * might need to remove these changes? * use ruf format andruff check * use isinstance instead of type comparision * use # fmt: skip * use # fmt: skip * nits * soem styling changes * update ci job * nits isinstance * more files update * nits * more nits * small nits * check and format * revert wrong changes * actually use formatter instead of checker * nits * well docbuilder is overwriting this commit * revert notebook changes * try to nuke docbuilder * style * fix feature exrtaction test * remve `indent-width = 4` * fixup * more nits * update the ruff version that we use * style * nuke docbuilder styling * leve the print for detected changes * nits * Remove file I/O Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com> * style * nits * revert notebook changes * Add # fmt skip when possible * Add # fmt skip when possible * Fix * More ` # fmt: skip` usage * More ` # fmt: skip` usage * More ` # fmt: skip` usage * NIts * more fixes * fix tapas * Another way to skip * Recommended way * Fix two more fiels * Remove asynch Remove asynch --------- Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com>
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@@ -1029,10 +1029,8 @@ class BarkModelIntegrationTests(unittest.TestCase):
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def test_generate_semantic(self):
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input_ids = self.inputs
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# fmt: off
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# check first ids
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expected_output_ids = [7363, 321, 41, 1461, 6915, 952, 326, 41, 41, 927,]
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# fmt: on
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expected_output_ids = [7363, 321, 41, 1461, 6915, 952, 326, 41, 41, 927,] # fmt: skip
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# greedy decoding
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with torch.no_grad():
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@@ -1049,10 +1047,8 @@ class BarkModelIntegrationTests(unittest.TestCase):
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input_ids = self.inputs
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min_eos_p = 0.01
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# fmt: off
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# check first ids
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expected_output_ids = [7363, 321, 41, 1461, 6915, 952, 326, 41, 41, 927,]
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# fmt: on
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expected_output_ids = [7363, 321, 41, 1461, 6915, 952, 326, 41, 41, 927,] # fmt: skip
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# Should be able to read min_eos_p from kwargs
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with torch.no_grad():
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@@ -1095,10 +1091,8 @@ class BarkModelIntegrationTests(unittest.TestCase):
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history_prompt = input_ids["history_prompt"]
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# fmt: off
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# check first ids
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expected_output_ids = [11018, 11391, 10651, 11418, 10857, 11620, 10642, 11366, 10312, 11528, 10531, 11516, 10474, 11051, 10524, 11051, ]
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# fmt: on
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expected_output_ids = [11018, 11391, 10651, 11418, 10857, 11620, 10642, 11366, 10312, 11528, 10531, 11516, 10474, 11051, 10524, 11051, ] # fmt: skip
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with torch.no_grad():
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output_ids = self.model.semantic.generate(
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