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chore: fix typos in the tests directory (#36813)

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* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* fix: format codes

* chore: fix copy mismatch issue

* fix: format codes

* chore: fix copy mismatch issue

* chore: fix copy mismatch issue

* chore: fix copy mismatch issue

* chore: restore previous words

* chore: revert unexpected changes
This commit is contained in:
Afanti
2025-03-21 17:20:05 +08:00
committed by GitHub
parent 0adbc873d0
commit 26c83490d2
78 changed files with 181 additions and 148 deletions
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4
tests/models/xglm/test_modeling_tf_xglm.py
View File

@@ -208,7 +208,7 @@ class TFXGLMModelLanguageGenerationTest(unittest.TestCase):
# use different length sentences to test batching
sentences = [
"This is an extremelly long sentence that only exists to test the ability of the model to cope with "
"This is an extremely long sentence that only exists to test the ability of the model to cope with "
"left-padding, such as in batched generation. The output for the sequence below should be the same "
"regardless of whether left padding is applied or not. When",
"Hello, my dog is a little",
@@ -230,7 +230,7 @@ class TFXGLMModelLanguageGenerationTest(unittest.TestCase):
padded_sentence = tokenizer.decode(output_padded[0], skip_special_tokens=True)
expected_output_sentence = [
"This is an extremelly long sentence that only exists to test the ability of the model to cope with "
"This is an extremely long sentence that only exists to test the ability of the model to cope with "
"left-padding, such as in batched generation. The output for the sequence below should be the same "
"regardless of whether left padding is applied or not. When left padding is applied, the sequence will be "
"a single",

4
tests/models/xglm/test_modeling_xglm.py
View File

@@ -371,7 +371,7 @@ class XGLMModelLanguageGenerationTest(unittest.TestCase):
# use different length sentences to test batching
sentences = [
"This is an extremelly long sentence that only exists to test the ability of the model to cope with "
"This is an extremely long sentence that only exists to test the ability of the model to cope with "
"left-padding, such as in batched generation. The output for the sequence below should be the same "
"regardless of whether left padding is applied or not. When",
"Hello, my dog is a little",
@@ -395,7 +395,7 @@ class XGLMModelLanguageGenerationTest(unittest.TestCase):
padded_sentence = tokenizer.decode(output_padded[0], skip_special_tokens=True)
expected_output_sentence = [
"This is an extremelly long sentence that only exists to test the ability of the model to cope with "
"This is an extremely long sentence that only exists to test the ability of the model to cope with "
"left-padding, such as in batched generation. The output for the sequence below should be the same "
"regardless of whether left padding is applied or not. When left padding is applied, the sequence will be "
"a single",