bespon 0.7.0

Description:

bespon 0.7.0

The bespon package for Python encodes and decodes data in the
BespON format.

Basic usage
Data is loaded in a manner analogous to Python’s json module:

bespon.load(<file-like object>)
bespon.loads(<string or bytes>)

Similarly, dumping data to a file or string:

bespon.dump(<obj>, <file-like object>)
bespon.dumps(<obj>)

Only dicts, lists, Unicode strings, byte strings, floats, ints, bools, and
None are supported for dumping by default. See the extended_types
and python_types keywords for optional support of additional types.


Lossless round-trip support
There is also support for lossless round-tripping. Data can be loaded,
modified, and then saved with minimal impact on the data file layout.
Data can be loaded from a file or string into an instance of the
RoundtripAst class.

bespon.load_roundtrip_ast(<file-like object>)
bespon.loads_roundtrip_ast(<string or bytes>)

This class has two methods that allow data to be modified.

replace_val(<path>, <obj>) This replaces the object currently located
at <path> within the data with <obj>. <path> must be a list or
tuple consisting of dict keys and list indices. <obj> must have the
same type as the object it is replacing. There is experimental support
for replacing dicts and lists; all other types are fully supported.
replace_key(<path>, <obj>) This replaces the dict key at the end of
<path> with the new key <obj> (which will map to the same value as
the replaced key). <obj> must be a Unicode string, int, or bool, and
must have the same type as the object it is replacing.

Experimental support for changing data types may be enabled by loading
data with the option enforce_types=False.
There is also preliminary support for __getitem__-style access
(ast['key'], etc.). Data accessed in this manner has the following
attributes.

key: Key of the current location, if in a dict.
Allows assignment, as long as the new object is of the same type as the old
object, and the type is supported. For example, ast['key'].key = 'new_key' will rename the key.
key_doc_comment: Doc comment of key, if in a dict. None if there
is no doc comment. Currently only supports assignment for existing doc
comments.
key_trailing_comment: Trailing line comment (#comment) that
immediately follows a key on the same line.
value: Value of the current location. Can be assigned, as long as the
new object is of the same type as the old object, and the type is supported.
When value is accessed or assigned and is a mutable object like a dict
or list, the object should not be modified. Currently, modifying the object
will not change the actual data contained in the AST (the AST does not
update automatically). But modifying the object will make the AST’s
temporary representation of itself (available via value) invalid. If
you need to modify the object returned by value, use copy.deepcopy()
to create a completely independent copy. If you need to assign an object
that will later be modified, assign a deepcopy of the object.
value_doc_comment: Doc comment of the value at the current location.
None if there is no doc comment. Currently only supports assignment for
existing doc comments.
value_trailing_comment: Trailing line comment (#comment) that
immediately follows a non-collection type on the same line.
value_start_trailing_comment: Trailing line comment that immediately
follows the start of a collection in inline-style syntax (”{” or
“[“).
value_end_trailing_comment: Trailing line comment that immediately
follows the end of a collection in inline-style syntax (”}” or “]”).

After data in a RoundtripAst instance has been modified, it may be encoded
back into a string with the dumps() method. An example is shown below.
>>> ast = bespon.loads_roundtrip_ast("""
key.subkey.first = 123 # Comment
key.subkey.second = 0b1101
key.subkey.third = `literal \string`
""")
>>> ast.replace_key(['key', 'subkey'], 'sk')
>>> ast.replace_val(['key', 'sk', 'second'], 7)
>>> ast.replace_val(['key', 'sk', 'third'], '\\another \\literal')
>>> ast.replace_key(['key', 'sk', 'third'], 'fourth')
>>> print(ast.dumps())

key.sk.first = 123 # Comment
key.sk.second = 0b111
key.sk.fourth = `\another \literal`
Here is the same example using the preliminary __getitem__-style syntax.
>>> ast = bespon.loads_roundtrip_ast("""
key.subkey.first = 123 # Comment
key.subkey.second = 0b1101
key.subkey.third = `literal \string`
""")
>>> ast['key']['subkey'].key = 'sk'
>>> ast['key']['sk']['second'].value = 7
>>> ast['key']['sk']['third'].value = '\\another \\literal'
>>> ast['key']['sk']['third'].key = 'fourth'
>>> print(ast.dumps())

key.sk.first = 123 # Comment
key.sk.second = 0b111
key.sk.fourth = `\another \literal`
This example illustrates several of BespON’s round-trip capabilities.

Comments and layout are preserved exactly.
Key renaming works with key paths. Every time a key appears in key paths,
it is renamed.
When a number is modified, the new value is expressed in the same base as
the old value.
When a quoted string is modified, the new value is quoted in the same
style as the old value (at least to the extent that this is practical).
As soon as a key is modified, the new key must be used for further
modifications. The old key is invalid.



Advanced loading and dumping
The loading and dumping functions support several keyword arguments to
customize data handling.
Loading

aliases (boolean, default True): Allow aliases.
circular_references (boolean, default False): Allow aliases to
create circular references.
custom_parsers (dict, default None): Replace the default parser
for a specified type with a custom parser. For example, using
custom_parsers={'int': float} would cause all integers to be parsed
with the float() function.
custom_types (bespon.LoadType instance, or list or tuple of
bespon.LoadType): Enable preliminary support for custom types.
bespon.LoadType takes up to five named arguments (for examples, see the
definitions of built-in types at the end of load_types.py):

name (string): Type name.
compatible_implicit_types (string, or set or list or tuple of
strings): Names of built-in implicit types with which the type being
defined is compatible. Implicit types include none, bool,
int, float, str, complex, rational, dict, and
list.
parser (function): Function that converts a string (for scalar types)
or dict or list (collection types) into an instance of the type being
defined.
ascii_bytes (boolean, default False): For types based on strings.
Determines whether the raw string is encoded into binary as an ASCII byte
string before being passed to the parser function. If this is done, only
bytes-compatible backslash escapes are allowed in the string.
mutable (boolean, default False): For collection types.
Specifies whether instances are mutable after being created. Mutable
collections have greater flexibility in terms of circular references.


empty_default (function, default None): When an empty string or
file is loaded (or one that only consists of comments and whitespace), this
function is called with no arguments to provide a default value, instead of
an error being raised. For example, empty_default=dict.
extended_types (boolean, default False): Enable preliminary support
for set and odict tagged collections (for example, (set)> [1, 2, 3]). Enable preliminary support for complex number literals and rational
number literals. Complex numbers currently use the general form
1.0+2.0i, where the real part is optional, the imaginary unit is
represented with i, and numbers must be floats (either in decimal or hex
form). Rational numbers use the form 1/2, where the numerator and
denominator must both be decimal integers, and any sign must come before the
fraction.
float_overflow_to_inf (boolean, default False): Whether
non-inf floats are permitted to overflow into inf without raising an
error.
integers (boolean, default True): Whether integers are permitted.
Otherwise they are interpreted as floats.
max_nesting_depth (int, default 100): Maximum permitted nesting
depth for collections. When circular_references=True, this is the
maximum permitted depth before a circular reference is encountered.
only_ascii_source (boolean, default False): Whether non-ASCII code
points are allowed to appear literally in the source (without being
represented via backslash-escapes).
only_ascii_unquoted (boolean, default True): Whether non-ASCII
identifier-style strings are allowed unquoted.
python_types (boolean, default False): Enable preliminary support
for Python-specific data types. Currently this only supports tuple.

Dumping

aliases (boolean, default True): Allow aliases so that a
collection may appear multiple times within data.
baseclass (boolean, default False): Encode unknown data types as
their baseclasses if supported. For example, collections.OrderedDict
would be encoded as a dict, and a custom integer class would be encoded
as int.
circular_references (boolean, default False): Allow aliases to
create circular references.
compact_inline (boolean, default False): In inline syntax, put
everything on one line to make it as compact as possible.
extended_types (boolean, default False): Enable preliminary support
for set and odict tagged collections (for example, (set)> [1, 2, 3]). Enable preliminary support for complex number literals and rational
number literals. Complex numbers currently use the general form
1.0+2.0i, where the real part is optional, the imaginary unit is
represented with i, and numbers must be floats (either in decimal or hex
form). Rational numbers use the form 1/2, where the numerator and
denominator must both be decimal integers, and any sign must come before the
fraction.
flush_start_list_item (string, default *<space>): How a list item
starts in indentation-style syntax when it is at the top level, within
another list, or otherwise in a context when the * must be aligned flush
with a designated margin. Must start with a single * followed by zero
or more spaces or tabs.
hex_floats (boolean, default False): Whether floats are
dumped in hex form.
inline_depth (boolean, default max_nesting_depth+1): Nesting depth
at which to switch from indentation-style to inline-style syntax. A value
of 0 will make everything inline, 1 will make the top-level
collection indentation-style but everything inside it inline-style, and
so forth.
integers (boolean, default True): Whether integers are permitted.
Otherwise they are interpreted as floats.
max_nesting_depth (int, default 100): Maximum permitted nesting
depth of collections. When circular_references=True, this is the
maximum permitted depth before a circular reference is encountered.
nesting_indent (string, default <space><space><space><space>):
Indentation added for each nesting level.
only_ascii_source (boolean, default False): Whether non-ASCII code
points are allowed to appear literally in the source (without being
represented via backslash-escapes).
only_ascii_unquoted (boolean, default True): Whether non-ASCII
identifier-style strings are allowed unquoted.
python_types (boolean, default False): Enable preliminary support
for Python-specific data types. Currently this only supports tuple.
trailing_commas (boolean, default False): In inline syntax, leave
a comma after the last item in a collection. This can minimize diffs.
start_list_item (string, default <space><space>*<space>): How a
list item starts in indentation-style syntax. This must begin with one or
more spaces or tabs and contain a single *. The leading spaces or tabs
define the relative indentation from the previous indentation level.



Spec conformance
The bespon package passes the
BespON test suite.