@@ -50,7 +50,7 @@ function extremeTopK(testCase)
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%% This should work, and it does on some computers. On others, Ollama
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%% receives the parameter, but either Ollama or llama.cpp fails to
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%% honor it correctly.
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- % testCase.assumeTrue(false,"disabled due to Ollama/llama.cpp not honoring parameter reliably");
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+ testCase .assumeTrue(false ," disabled due to Ollama/llama.cpp not honoring parameter reliably" );
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% setting top-k to k=1 leaves no random choice,
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% so we expect to get a fixed response.
@@ -65,7 +65,7 @@ function extremeMinP(testCase)
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%% This should work, and it does on some computers. On others, Ollama
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%% receives the parameter, but either Ollama or llama.cpp fails to
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%% honor it correctly.
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- % testCase.assumeTrue(false,"disabled due to Ollama/llama.cpp not honoring parameter reliably");
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+ testCase .assumeTrue(false ," disabled due to Ollama/llama.cpp not honoring parameter reliably" );
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% setting min-p to p=1 means only tokens with the same logit as
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% the most likely one can be chosen, which will almost certainly
@@ -81,7 +81,7 @@ function extremeTfsZ(testCase)
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%% This should work, and it does on some computers. On others, Ollama
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%% receives the parameter, but either Ollama or llama.cpp fails to
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%% honor it correctly.
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- % testCase.assumeTrue(false,"disabled due to Ollama/llama.cpp not honoring parameter reliably");
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+ testCase .assumeTrue(false ," disabled due to Ollama/llama.cpp not honoring parameter reliably" );
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% setting tfs_z to z=0 leaves no random choice, but degrades to
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% greedy sampling, so we expect to get a fixed response.
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