<BLANKLINE>

...

src/flash/audio/speech_recognition/data.py

@@ -408,7 +408,8 @@ def from_json(
             ...     predict_file="predict_data.json",
             ...     batch_size=2,
             ... )  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
-            Downloading...
+            <BLANKLINE>
+            ...
             >>> model = SpeechRecognition(backbone="patrickvonplaten/wav2vec2_tiny_random_robust")
             >>> trainer = Trainer(fast_dev_run=True)
             >>> trainer.fit(model, datamodule=datamodule)  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE

src/flash/text/classification/data.py

@@ -316,7 +316,8 @@ def from_json(
             ...     predict_file="predict_data.json",
             ...     batch_size=2,
             ... )  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
-            Downloading...
+            <BLANKLINE>
+            ...
             >>> datamodule.num_classes
             3
             >>> datamodule.labels
@@ -439,7 +440,8 @@ def from_parquet(
             ...     predict_file="predict_data.parquet",
             ...     batch_size=2,
             ... )  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
-            Downloading...
+            <BLANKLINE>
+            ...
             >>> datamodule.num_classes
             3
             >>> datamodule.labels

src/flash/text/question_answering/data.py

@@ -339,7 +339,8 @@ def from_json(
             ...     predict_file="predict_data.json",
             ...     batch_size=2,
             ... )  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
-            Downloading...
+            <BLANKLINE>
+            ...
             >>> model = QuestionAnsweringTask(max_source_length=32, max_target_length=32)
             >>> trainer = Trainer(fast_dev_run=True)
             >>> trainer.fit(model, datamodule=datamodule)  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE

src/flash/text/seq2seq/summarization/data.py

@@ -287,7 +287,8 @@ def from_json(
             ...     predict_file="predict_data.json",
             ...     batch_size=2,
             ... )  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
-            Downloading...
+            <BLANKLINE>
+            ...
             >>> model = SummarizationTask(backbone="JulesBelveze/t5-small-headline-generator")
             >>> trainer = Trainer(fast_dev_run=True)
             >>> trainer.fit(model, datamodule=datamodule)  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE

src/flash/text/seq2seq/translation/data.py

@@ -280,7 +280,8 @@ def from_json(
             ...     predict_file="predict_data.json",
             ...     batch_size=2,
             ... )  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
-            Downloading...
+            <BLANKLINE>
+            ...
             >>> model = TranslationTask()
             >>> trainer = Trainer(fast_dev_run=True)
             >>> trainer.fit(model, datamodule=datamodule)  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE