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Diffstat (limited to 'docs/reference/constrained.rst')
| -rw-r--r-- | docs/reference/constrained.rst | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/reference/constrained.rst b/docs/reference/constrained.rst index 9c68bab9a..2a5f9d7fd 100644 --- a/docs/reference/constrained.rst +++ b/docs/reference/constrained.rst @@ -122,7 +122,7 @@ execution from Flash, RAM may be saved as follows. The data should be located in Python modules and frozen as bytecode. The data must be defined as `bytes` objects. The compiler 'knows' that `bytes` objects are immutable and ensures that the objects remain in flash memory rather than being copied to RAM. The -`ustruct` module can assist in converting between `bytes` types and other +`struct` module can assist in converting between `bytes` types and other Python built-in types. When considering the implications of frozen bytecode, note that in Python @@ -261,7 +261,7 @@ were a string. The Python funcitons `eval` and `exec` invoke the compiler at runtime, which requires significant amounts of RAM. Note that the ``pickle`` library from `micropython-lib` employs `exec`. It may be more RAM efficient to use the -`ujson` library for object serialisation. +`json` library for object serialisation. **Storing strings in flash** @@ -444,7 +444,7 @@ RAM usage and speed. Where variables are required whose size is neither a byte nor a machine word there are standard libraries which can assist in storing these efficiently and -in performing conversions. See the `array`, `ustruct` and `uctypes` +in performing conversions. See the `array`, `struct` and `uctypes` modules. Footnote: gc.collect() return value |