[CI] Fix code format lint (ray-project#37755)

ray-project#37566 and then ray-project#36980 broke lint. This PR fixes the errors. Signed-off-by: Balaji Veeramani <[email protected]> Signed-off-by: NripeshN <[email protected]>
NripeshN · Aug 15, 2023 · e7b9f74 · e7b9f74
1 parent 87faa81
commit e7b9f74
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diff --git a/doc/source/templates/04_finetuning_llms_with_deepspeed/finetune_hf_llm.py b/doc/source/templates/04_finetuning_llms_with_deepspeed/finetune_hf_llm.py
@@ -9,7 +9,7 @@
 import pandas as pd
 from pathlib import Path
 import torch.nn as nn
-from ray import tune
+from ray import tune # noqa: F401
 import tqdm
 import tempfile
 

diff --git a/doc/source/templates/04_finetuning_llms_with_deepspeed/run_llama_13b.sh b/doc/source/templates/04_finetuning_llms_with_deepspeed/run_llama_13b.sh
@@ -59,6 +59,6 @@ python finetune_hf_llm.py \
  --train_path ${TRAIN_PATH} \
  --test_path ${TEST_PATH} \
  --special_token_path ${TOKEN_PATH} \
- $additional_args
+ "$additional_args"
 
 echo "Process completed."
diff --git a/doc/source/templates/04_finetuning_llms_with_deepspeed/run_llama_70b.sh b/doc/source/templates/04_finetuning_llms_with_deepspeed/run_llama_70b.sh
@@ -59,6 +59,6 @@ python finetune_hf_llm.py \
  --train_path ${TRAIN_PATH} \
  --test_path ${TEST_PATH} \
  --special_token_path ${TOKEN_PATH} \
- $additional_args
+ "$additional_args"
 
 echo "Process completed."
diff --git a/doc/source/templates/04_finetuning_llms_with_deepspeed/run_llama_7b.sh b/doc/source/templates/04_finetuning_llms_with_deepspeed/run_llama_7b.sh
@@ -59,6 +59,6 @@ python finetune_hf_llm.py \
  --train_path ${TRAIN_PATH} \
  --test_path ${TEST_PATH} \
  --special_token_path ${TOKEN_PATH} \
- $additional_args
+ "$additional_args"
 
 echo "Process completed."
diff --git a/doc/source/templates/04_finetuning_llms_with_deepspeed/setup_aws.sh b/doc/source/templates/04_finetuning_llms_with_deepspeed/setup_aws.sh
@@ -1,2 +1,2 @@
-
+#!/bin/bash
 python run_on_every_node.py run "awsv2 configure set s3.max_concurrent_requests 32 && awsv2 configure set default.s3.preferred_transfer_client crt && awsv2 configure set default.s3.target_bandwidth 100Gb/s && awsv2 configure set default.s3.multipart_chunksize 8MB"
diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py
@@ -1946,8 +1946,8 @@ def sum(
  ignore_nulls: Whether to ignore null values. If ``True``, null
  values are ignored when computing the sum. If ``False``,
  when a null value is encountered, the output is ``None``.
- Ray Data considers ``np.nan``, ``None``, and ``pd.NaT`` to be null values.
- Default is ``True``.
+ Ray Data considers ``np.nan``, ``None``, and ``pd.NaT`` to be null
+ values. Default is ``True``.
 
  Returns:
  The sum result.
@@ -1988,8 +1988,8 @@ def min(
  ignore_nulls: Whether to ignore null values. If ``True``, null
  values are ignored when computing the min; if ``False``,
  when a null value is encountered, the output is ``None``.
- This method considers ``np.nan``, ``None``, and ``pd.NaT`` to be null values.
- Default is ``True``.
+ This method considers ``np.nan``, ``None``, and ``pd.NaT`` to be null
+ values. Default is ``True``.
 
  Returns:
  The min result.
@@ -2030,8 +2030,8 @@ def max(
  ignore_nulls: Whether to ignore null values. If ``True``, null
  values are ignored when computing the max; if ``False``,
  when a null value is encountered, the output is ``None``.
- This method considers ``np.nan``, ``None``, and ``pd.NaT`` to be null values.
- Default is ``True``.
+ This method considers ``np.nan``, ``None``, and ``pd.NaT`` to be null
+ values. Default is ``True``.
 
  Returns:
  The max result.
@@ -2072,8 +2072,8 @@ def mean(
  ignore_nulls: Whether to ignore null values. If ``True``, null
  values are ignored when computing the mean; if ``False``,
  when a null value is encountered, the output is ``None``.
- This method considers ``np.nan``, ``None``, and ``pd.NaT`` to be null values.
- Default is ``True``.
+ This method considers ``np.nan``, ``None``, and ``pd.NaT`` to be null
+ values. Default is ``True``.
 
  Returns:
  The mean result.
@@ -2108,7 +2108,8 @@ def std(
  numerical stability, and is computable in a single pass. This may give
  different (but more accurate) results than NumPy, Pandas, and sklearn, which
  use a less numerically stable two-pass algorithm.
- To learn more, see `the Wikapedia article <https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_online_algorithm>`_.
+ To learn more, see
+ `the Wikapedia article <https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_online_algorithm>`_.
 
  Examples:
  >>> import ray
@@ -2127,8 +2128,8 @@ def std(
  ignore_nulls: Whether to ignore null values. If ``True``, null
  values are ignored when computing the std; if ``False``,
  when a null value is encountered, the output is ``None``.
- This method considers ``np.nan``, ``None``, and ``pd.NaT`` to be null values.
- Default is ``True``.
+ This method considers ``np.nan``, ``None``, and ``pd.NaT`` to be null
+ values. Default is ``True``.
 
  Returns:
  The standard deviation result.
@@ -2144,7 +2145,7 @@ def std(
 
  If the dataset is empty, all values are null. If ``ignore_nulls`` is
  ``False`` and any value is null, then the output is ``None``.
- """
+ """ # noqa: E501
  ret = self._aggregate_on(Std, on, ignore_nulls, ddof=ddof)
  return self._aggregate_result(ret)