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Merged
copybara-service merged 1 commit into from
Jan 14, 2026
+5 −5
Merged

Replace unicode escaped characters in ipynb files #278

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4 changes: 2 additions & 2 deletions airio/examples/inspect.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -79,7 +79,7 @@
},
"outputs": [],
"source": [
"def _imdb_preprocessor(raw_example: Dict[str, bytes]) -\u003e Dict[str, str]:\n",
"def _imdb_preprocessor(raw_example: Dict[str, bytes]) -> Dict[str, str]:\n",
" final_example = {\"inputs\": \"imdb \" + raw_example[\"text\"].decode(\"utf-8\")}\n",
" raw_label = str(raw_example[\"label\"])\n",
" if raw_label == \"0\":\n",
Expand Down Expand Up @@ -259,7 +259,7 @@
" print(f\" {k}: {v}\")\n",
" print(f\" -------------------------\")\n",
" count += 1\n",
" if count \u003e= airio.dataset_providers.DEFAULT_NUM_RECORDS_TO_INSPECT:\n",
" if count >= airio.dataset_providers.DEFAULT_NUM_RECORDS_TO_INSPECT:\n",
" break"
]
},
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4 changes: 2 additions & 2 deletions airio/examples/quickstart.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -81,7 +81,7 @@
},
"outputs": [],
"source": [
"def _imdb_preprocessor(raw_example: Dict[str, bytes]) -\u003e Dict[str, str]:\n",
"def _imdb_preprocessor(raw_example: Dict[str, bytes]) -> Dict[str, str]:\n",
" final_example = {\"inputs\": \"imdb \" + raw_example[\"text\"].decode(\"utf-8\")}\n",
" raw_label = str(raw_example[\"label\"])\n",
" if raw_label == \"0\":\n",
Expand Down Expand Up @@ -167,7 +167,7 @@
" print(f\" {k}: {v}\")\n",
" print(f\" -------------------------\")\n",
" count += 1\n",
" if count \u003e= airio.dataset_providers.DEFAULT_NUM_RECORDS_TO_INSPECT:\n",
" if count >= airio.dataset_providers.DEFAULT_NUM_RECORDS_TO_INSPECT:\n",
" break"
]
}
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2 changes: 1 addition & 1 deletion airio/examples/train_wmt.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -90,7 +90,7 @@
},
"outputs": [],
"source": [
"def get_t5_model(**config_overrides) -\u003e models.EncoderDecoderModel:\n",
"def get_t5_model(**config_overrides) -> models.EncoderDecoderModel:\n",
" \"\"\"Returns a small T5 1.1 model.\"\"\"\n",
" tiny_config = network.T5Config(\n",
" vocab_size=32128,\n",
Expand Down