#
Utilities

##
Configure logging

🤗 Datasets strives to be transparent and explicit about how it works, but this can be quite verbose at times. We have included a series of logging methods which allow you to easily adjust the level of verbosity of the entire library. Currently the default verbosity of the library is set to `WARNING`.

To change the level of verbosity, use one of the direct setters. For instance, here is how to change the verbosity to the `INFO` level:

    import datasets
    datasets.logging.set_verbosity_info()

You can also use the environment variable `DATASETS_VERBOSITY` to override the default verbosity, and set it to one of the following: `debug`, `info`, `warning`, `error`, `critical`:

    DATASETS_VERBOSITY=error ./myprogram.py

All the methods of this logging module are documented below. The main ones are:

- logging.get_verbosity() to get the current level of verbosity in the logger
- logging.set_verbosity() to set the verbosity to the level of your choice

In order from the least to the most verbose (with their corresponding `int` values):

1. `logging.CRITICAL` or `logging.FATAL` (int value, 50): only report the most critical errors.
2. `logging.ERROR` (int value, 40): only report errors.
3. `logging.WARNING` or `logging.WARN` (int value, 30): only reports error and warnings. This the default level used by the library.
4. `logging.INFO` (int value, 20): reports error, warnings and basic information.
5. `logging.DEBUG` (int value, 10): report all information.

####
datasets.utils.logging.get_verbosity

< source >

( )

Return the current level for the HuggingFace datasets library’s root logger.

HuggingFace datasets library has following logging levels:

- `datasets.logging.CRITICAL`, `datasets.logging.FATAL`
- `datasets.logging.ERROR`
- `datasets.logging.WARNING`, `datasets.logging.WARN`
- `datasets.logging.INFO`
- `datasets.logging.DEBUG`

####
datasets.utils.logging.set_verbosity

< source >

( verbosity: int )

Set the level for the Hugging Face Datasets library’s root logger.

####
datasets.utils.logging.set_verbosity_info

< source >

( )

Set the level for the Hugging Face datasets library’s root logger to `INFO`.

This will display most of the logging information and tqdm bars.

Shortcut to `datasets.logging.set_verbosity(datasets.logging.INFO)`.

####
datasets.utils.logging.set_verbosity_warning

< source >

( )

Set the level for the Hugging Face datasets library’s root logger to `WARNING`.

This will display only the warning and errors logging information and tqdm bars.

Shortcut to `datasets.logging.set_verbosity(datasets.logging.WARNING)`.

####
datasets.utils.logging.set_verbosity_debug

< source >

( )

Set the level for the Hugging Face datasets library’s root logger to `DEBUG`.

This will display all the logging information and tqdm bars.

Shortcut to `datasets.logging.set_verbosity(datasets.logging.DEBUG)`.

####
datasets.utils.logging.set_verbosity_error

< source >

( )

Set the level for the Hugging Face datasets library’s root logger to `ERROR`.

This will display only the errors logging information and tqdm bars.

Shortcut to `datasets.logging.set_verbosity(datasets.logging.ERROR)`.

####
datasets.utils.logging.disable_propagation

< source >

( )

Disable propagation of the library log outputs. Note that log propagation is disabled by default.

####
datasets.utils.logging.enable_propagation

< source >

( )

Enable propagation of the library log outputs. Please disable the Hugging Face datasets library’s default handler to prevent double logging if the root logger has been configured.

##
Configure progress bars

By default, `tqdm` progress bars will be displayed during dataset download and preprocessing. You can disable them globally by setting `HF_DATASETS_DISABLE_PROGRESS_BARS` environment variable. You can also enable/disable them using enable_progress_bars() and disable_progress_bars(). If set, the environment variable has priority on the helpers.

####
datasets.enable_progress_bars

< source >

( )

Enable globally progress bars used in `datasets` except if `HF_DATASETS_DISABLE_PROGRESS_BAR` environment variable has been set.

Use disable_progress_bars() to disable them.

####
datasets.disable_progress_bars

< source >

( )

Disable globally progress bars used in `datasets` except if `HF_DATASETS_DISABLE_PROGRESS_BAR` environment variable has been set.

Use enable_progress_bars() to re-enable them.

####
datasets.are_progress_bars_disabled

< source >

( )

Return whether progress bars are globally disabled or not.

Progress bars used in `datasets` can be enable or disabled globally using enable_progress_bars() and disable_progress_bars() or by setting `HF_DATASETS_DISABLE_PROGRESS_BAR` as environment variable.