rofunc.utils.datalab.poselib.poselib.core.backend.abstract

1.  Module Contents

1.1.  Classes

NumpyEncoder	Special json encoder for numpy types
Serializable	Implementation to read/write to file. All class the is inherited from this class needs to implement to_dict() and from_dict()

1.2.  Functions

register
json_numpy_obj_hook

1.3.  Data

TENSOR_CLASS

1.4.  API

rofunc.utils.datalab.poselib.poselib.core.backend.abstract.TENSOR_CLASS = None

rofunc.utils.datalab.poselib.poselib.core.backend.abstract.register(name)

class rofunc.utils.datalab.poselib.poselib.core.backend.abstract.NumpyEncoder(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)

Bases: json.JSONEncoder

Special json encoder for numpy types

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 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 OverflowError). 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 None and (‘,’, ‘: ‘) 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(obj)

rofunc.utils.datalab.poselib.poselib.core.backend.abstract.json_numpy_obj_hook(dct)

class rofunc.utils.datalab.poselib.poselib.core.backend.abstract.Serializable

Implementation to read/write to file. All class the is inherited from this class needs to implement to_dict() and from_dict()

classmethod from_dict(dict_repr, *args, **kwargs)

Read the object from an ordered dictionary

Parameters:

• dict_repr (OrderedDict) – the ordered dictionary that is used to construct the object

• kwargs (args,) – the arguments that need to be passed into from_dict()

abstract to_dict()

Construct an ordered dictionary from the object

Return type:

OrderedDict

classmethod from_file(path, *args, **kwargs)

Read the object from a file (either .npy or .json)

Parameters:

• path (string) – path of the file

• kwargs (args,) – the arguments that need to be passed into from_dict()

to_file(path: str) → None

Write the object to a file (either .npy or .json)

Parameters:

path (string) – path of the file