core.config_logger#
Module Contents#
Classes#
Custom JSON encoder that serializes according to types in mcore. |
Functions#
Get the path to the config logger directory. |
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Check if config logger is enabled. |
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keeps tracks of number of times we’ve seen the input |
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calls get_path_count and appends returned value to path |
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Encodes the input dict (dict_data) using the JSONEncoderWithMcoreTypes and dumps to disk, as specified via path |
Data#
API#
- core.config_logger.get_config_logger_path(config)#
Get the path to the config logger directory.
- core.config_logger.has_config_logger_enabled(config)#
Check if config logger is enabled.
- core.config_logger.__config_logger_path_counts#
None
- core.config_logger.get_path_count(path)#
keeps tracks of number of times we’ve seen the input
pathand return count-1
- core.config_logger.get_path_with_count(path)#
calls get_path_count and appends returned value to path
- class core.config_logger.JSONEncoderWithMcoreTypes(
- *,
- skipkeys=False,
- ensure_ascii=True,
- check_circular=True,
- allow_nan=True,
- sort_keys=False,
- indent=None,
- separators=None,
- default=None,
Bases:
json.JSONEncoderCustom JSON encoder that serializes according to types in mcore.
Initialization
Constructor for JSONEncoder, with sensible defaults.
If skipkeys is false, then it is a TypeError to attempt encoding of keys that are not str, int, float, bool or None. If skipkeys is True, such items are simply skipped.
If ensure_ascii is true, the output is guaranteed to be str objects with all incoming non-ASCII characters escaped. If ensure_ascii is false, the output can contain non-ASCII characters.
If check_circular is true, then lists, dicts, and custom encoded objects will be checked for circular references during encoding to prevent an infinite recursion (which would cause an RecursionError). Otherwise, no such check takes place.
If allow_nan is true, then NaN, Infinity, and -Infinity will be encoded as such. This behavior is not JSON specification compliant, but is consistent with most JavaScript based encoders and decoders. Otherwise, it will be a ValueError to encode such floats.
If sort_keys is true, then the output of dictionaries will be sorted by key; this is useful for regression tests to ensure that JSON serializations can be compared on a day-to-day basis.
If indent is a non-negative integer, then JSON array elements and object members will be pretty-printed with that indent level. An indent level of 0 will only insert newlines. None is the most compact representation.
If specified, separators should be an (item_separator, key_separator) tuple. The default is (’, ‘, ‘: ‘) if indent is
Noneand (‘,’, ‘: ‘) otherwise. To get the most compact JSON representation, you should specify (‘,’, ‘:’) to eliminate whitespace.If specified, default is a function that gets called for objects that can’t otherwise be serialized. It should return a JSON encodable version of the object or raise a
TypeError.- default(o)#
- core.config_logger.log_config_to_disk(config, dict_data, prefix='', rank_str='')#
Encodes the input dict (dict_data) using the JSONEncoderWithMcoreTypes and dumps to disk, as specified via path
- core.config_logger.__all__#
[‘has_config_logger_enabled’, ‘log_config_to_disk’]