forked from espressif/esp-idf
docs: Refactor table for nvs_create_partition_image arguments
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@@ -98,29 +98,35 @@ Instead of calling the ``nvs_partition_gen.py`` tool manually, the creation of t
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**Positional Arguments**:
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+---------------+---------------------------------------------------------------+
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| Parameter | Description |
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+===============+===============================================================+
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| ``partition`` | Name of the NVS parition |
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+---------------+---------------------------------------------------------------+
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| ``csv`` | Path to CSV file to parse |
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+---------------+---------------------------------------------------------------+
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.. list-table::
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:header-rows: 1
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* - Parameter
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- Description
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* - ``partition``
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- Name of the NVS parition
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* - ``csv``
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- Path to CSV file to parse
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**Optional Arguments**:
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+----------------------+----------------------------------------------------------------------+
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| Parameter | Description |
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+======================+======================================================================+
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| ``FLASH_IN_PROJECT`` | Flash the image when using ``idf.py flash`` |
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+----------------------+----------------------------------------------------------------------+
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| ``VERSION`` | Set multipage blob version (Default: Version 2) |
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| | |
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| | Version 1 - Multipage blob support disabled |
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| | |
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| | Version 2 - Multipage blob support enabled |
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+----------------------+----------------------------------------------------------------------+
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| ``DEPENDS`` | Specify files on which the command depends |
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+----------------------+----------------------------------------------------------------------+
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.. list-table::
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:header-rows: 1
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* - Parameter
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- Description
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* - ``FLASH_IN_PROJECT``
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- Name of the NVS parition
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* - ``VERSION {1,2}``
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- Set multipage blob version (Default: Version 2)
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Version 1 = support disabled
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Version 2 = support enabled
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* - ``DEPENDS``
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- Specify files on which the command depends
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If FLASH_IN_PROJECT is not specified, the image will still be generated, but you will have to flash it manually using ``idf.py <partition>-flash`` (e.g. if your parition name is ``nvs`` ``idf.py nvs-flash``).
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