datumaro.util#

Functions

`cast`(value, type_conv[, default])
`dump_json`(data, *[, sort_keys, allow_numpy, ...])
`dump_json_file`(path, data, *[, sort_keys, ...])
`escape`(s, escapes)	'escapes' is an iterable of (pattern, substitute) pairs
`filter_dict`(d, exclude_keys)
`find`(iterable[, pred, default])
`is_method_redefined`(method_name, base_class, ...)
`optional_arg_decorator`(fn)
`pairs`(iterable)
`parse_json`(data)
`parse_json_file`(path)
`parse_str_enum_value`(value, enum_class[, ...])
`take_by`(iterable, count)	Returns elements from the input iterable by batches of N items.
`to_dict_from_streaming_json`(obj)
`to_snake_case`(s)
`unescape`(s, escapes)	'escapes' is an iterable of (pattern, substitute) pairs

datumaro.util.find(iterable, pred=<function <lambda>>, default=None)[source]#

datumaro.util.cast(value, type_conv, default=None)[source]#

datumaro.util.to_snake_case(s)[source]#

datumaro.util.pairs(iterable)[source]#

datumaro.util.take_by(iterable, count)[source]#: Returns elements from the input iterable by batches of N items. (‘abcdefg’, 3) -> [‘a’, ‘b’, ‘c’], [‘d’, ‘e’, ‘f’], [‘g’]

datumaro.util.filter_dict(d, exclude_keys)[source]#

datumaro.util.parse_str_enum_value(value, enum_class, default=<object object>, unknown_member_error=None)[source]#

datumaro.util.escape(s: str, escapes: Iterable[Tuple[str, str]]) → str[source]#: ‘escapes’ is an iterable of (pattern, substitute) pairs

datumaro.util.unescape(s: str, escapes: Iterable[Tuple[str, str]]) → str[source]#: ‘escapes’ is an iterable of (pattern, substitute) pairs

datumaro.util.is_method_redefined(method_name, base_class, target) → bool[source]#

datumaro.util.optional_arg_decorator(fn)[source]#

datumaro.util.parse_json(data: str | bytes)[source]#

datumaro.util.parse_json_file(path: str)[source]#

datumaro.util.dump_json(data: Any, *, sort_keys: bool = False, allow_numpy: bool = True, indent: bool = False, append_newline: bool = False) → bytes[source]#

datumaro.util.dump_json_file(path: str, data: Any, *, sort_keys: bool = False, allow_numpy: bool = True, indent: bool = False, append_newline: bool = False) → None[source]#

datumaro.util.to_dict_from_streaming_json(obj: Any) → Dict[str, Any][source]#

Modules

`datumaro.util.annotation_util`
`datumaro.util.attrs_util`
`datumaro.util.definitions`
`datumaro.util.file_utils`
`datumaro.util.image`
`datumaro.util.image_cache`
`datumaro.util.import_util`
`datumaro.util.log_utils`
`datumaro.util.mask_tools`
`datumaro.util.meta_file_util`
`datumaro.util.multi_procs_util`
`datumaro.util.os_util`
`datumaro.util.pickle_util`
`datumaro.util.samples`
`datumaro.util.scope`
`datumaro.util.telemetry_stub`
`datumaro.util.telemetry_utils`
`datumaro.util.tf_util`