kopia lustrzana https://github.com/peterhinch/micropython-micro-gui
README.md: Update comments on RAM usage.
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README.md
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README.md
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@ -390,12 +390,9 @@ widgets, fonts and demos can also be trimmed, but the directory structure must
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be kept.
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There is scope for speeding loading and saving RAM by using frozen bytecode.
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Once again, directory structure must be maintained. An example directory
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structure, pruned to contain a minimum of files, may be seen
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[here](https://github.com/peterhinch/micropython-nano-gui#4-esp8266).
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For reasons that are unclear, freezing the display driver can lead to
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instability. For this reason it is recommended to freeze the gui tree only.
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The entire `gui` tree may be frozen but the directory structure must be
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maintained. For reasons that are unclear freezing display drivers does not
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work. For fexibility, consider keeping `hardware_setup.py` in the filesystem.
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###### [Contents](./README.md#0-contents)
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@ -403,9 +400,15 @@ instability. For this reason it is recommended to freeze the gui tree only.
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#### RAM usage
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The largest supported display is a 320x240 ILI9341 unit. On a Pi Pico with no
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use of frozen bytecode the demos run with about 70K of free RAM. Substantial
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improvements can be achieved on all platforms by using frozen bytecode.
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Running the `linked_sliders` demo, the code uses about 23,000 bytes with frozen
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bytecode and 55,000 bytes without. To this must be added the size of the frame
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buffer. This can readily be calculated. For example in the case of the ILI9341
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(a 240x320 pixel unit whose driver uses 4-bit color) the buffer size is
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`240x320/2 = 38,400` bytes.
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A Pico shows ~182000 bytes free with no code running. With `linked_sliders`
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running on an ILI9341 display, it shows 120,896 bytes free with frozen
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bytecode and 88,640 bytes free without.
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#### Speed
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