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++++++++++++++++++++++++++++
+Departure from previous API
++++++++++++++++++++++++++++
+
+With version 0.15.0 ``ruyaml`` starts to depart from the previous (PyYAML) way
+of loading and dumping. During a transition period the original
+``load()`` and ``dump()`` in its various formats will still be supported,
+but this is not guaranteed to be so with the transition to 1.0.
+
+At the latest with 1.0, but possible earlier transition error and
+warning messages will be issued, so any packages depending on
+ruyaml should pin the version with which they are testing.
+
+
+Up to 0.15.0, the loaders (``load()``, ``safe_load()``,
+``round_trip_load()``, ``load_all``, etc.) took, apart from the input
+stream, a ``version`` argument to allow downgrading to YAML 1.1,
+sometimes needed for
+documents without directive. When round-tripping, there was an option to
+preserve quotes.
+
+Up to 0.15.0, the dumpers (``dump()``, ``safe_dump``,
+``round_trip_dump()``, ``dump_all()``, etc.) had a plethora of
+arguments, some inherited from ``PyYAML``, some added in
+``ruyaml``. The only required argument is the ``data`` to be
+dumped. If the stream argument is not provided to the dumper, then a
+string representation is build up in memory and returned to the
+caller.
+
+Starting with 0.15.0 ``load()`` and ``dump()`` are methods on a
+``YAML`` instance and only take the stream,
+resp. the data and stream argument. All other parameters are set on the instance
+of ``YAML`` before calling ``load()`` or ``dump()``
+
+Before 0.15.0::
+
+ from pathlib import Path
+ import ruyaml
+
+ data = ruyaml.safe_load("abc: 1")
+ out = Path('/tmp/out.yaml')
+ with out.open('w') as fp:
+ ruyaml.safe_dump(data, fp, default_flow_style=False)
+
+after::
+
+ from pathlib import Path
+ from ruyaml import YAML
+
+ yaml = YAML(typ='safe')
+ yaml.default_flow_style = False
+ data = yaml.load("abc: 1")
+ out = Path('/tmp/out.yaml')
+ yaml.dump(data, out)
+
+If you previously used a keyword argument ``explicit_start=True`` you
+now do ``yaml.explicit_start = True`` before calling ``dump()``. The
+``Loader`` and ``Dumper`` keyword arguments are not supported that
+way. You can provide the ``typ`` keyword to ``rt`` (default),
+``safe``, ``unsafe`` or ``base`` (for round-trip load/dump, safe_load/dump,
+load/dump resp. using the BaseLoader / BaseDumper. More fine-control
+is possible by setting the attributes ``.Parser``, ``.Constructor``,
+``.Emitter``, etc., to the class of the type to create for that stage
+(typically a subclass of an existing class implementing that).
+
+The default loader (``typ='rt'``) is a direct derivative of the safe loader, without the
+methods to construct arbitrary Python objects that make the ``unsafe`` loader
+unsafe, but with the changes needed for round-trip preservation of comments,
+etc.. For trusted Python classes a constructor can of course be added to the round-trip
+or safe-loader, but this has to be done explicitly (``add_constructor``).
+
+All data is dumped (not just for round-trip-mode) with ``.allow_unicode
+= True``
+
+You can of course have multiple YAML instances active at the same
+time, with different load and/or dump behaviour.
+
+Initially only the typical operations are supported, but in principle
+all functionality of the old interface will be available via
+``YAML`` instances (if you are using something that isn't let me know).
+
+If a parse or dump fails, and throws and exception, the state of the
+``YAML()`` instance is not guaranteed to be able to handle further
+processing. You should, at that point to recreate the YAML instance before
+proceeding.
+
+
+Loading
++++++++
+
+Duplicate keys
+^^^^^^^^^^^^^^
+
+In JSON mapping keys should be unique, in YAML they must be unique.
+PyYAML never enforced this although the YAML 1.1 specification already
+required this.
+
+In the new API (starting 0.15.1) duplicate keys in mappings are no longer allowed by
+default. To allow duplicate keys in mappings::
+
+ yaml = ruyaml.YAML()
+ yaml.allow_duplicate_keys = True
+ yaml.load(stream)
+
+In the old API this is a warning starting with 0.15.2 and an error in
+0.16.0.
+
+When a duplicate key is found it and its value are discarded, as should be done
+according to the `YAML 1.1 specification <http://yaml.org/spec/1.1/#id932806>`__.
+
+Dumping a multi-documents YAML stream
++++++++++++++++++++++++++++++++++++++
+
+The "normal" ``dump_all`` expected as first element a list of documents, or
+something else the internals of the method can iterate over. To read
+and write a multi-document you would either make a ``list``::
+
+ yaml = YAML()
+ data = list(yaml.load_all(in_path))
+ # do something on data[0], data[1], etc.
+ yaml.dump_all(data, out_path)
+
+
+or create some function/object that would yield the ``data`` values.
+
+What you now can do is create ``YAML()`` as an context manager. This
+works for output (dumping) only, requires you to specify the output
+(file, buffer, ``Path``) at creation time, and doesn't support
+``transform`` (yet).
+
+::
+
+ with YAML(output=sys.stdout) as yaml:
+ yaml.explicit_start = True
+ for data in yaml.load_all(Path(multi_document_filename)):
+ # do something on data
+ yaml.dump(data)
+
+
+Within the context manager, you cannot use the ``dump()`` with a
+second (stream) argument, nor can you use ``dump_all()``. The
+``dump()`` within the context of the ``YAML()`` automatically creates
+multi-document if called more than once.
+
+To combine multiple YAML documents from multiple files:
+
+::
+
+ list_of_filenames = ['x.yaml', 'y.yaml', ]
+ with YAML(output=sys.stdout) as yaml:
+ yaml.explicit_start = True
+ for path in list_of_filename:
+ with open(path) as fp:
+ yaml.dump(yaml.load(fp))
+
+
+The output will be a valid, uniformly indented YAML file. Doing
+``cat {x,y}.yaml`` might result in a single document if there is not
+document start marker at the beginning of ``y.yaml``
+
+
+
+
+Dumping
++++++++
+
+Controls
+^^^^^^^^
+
+On your ``YAML()`` instance you can set attributes e.g with::
+
+ yaml = YAML(typ='safe', pure=True)
+ yaml.allow_unicode = False
+
+available attributes include:
+
+``unicode_supplementary``
+ Defaults to ``True`` if Python's Unicode size is larger than 2 bytes. Set to ``False`` to
+ enforce output of the form ``\U0001f601`` (ignored if ``allow_unicode`` is ``False``)
+
+Transparent usage of new and old API
+++++++++++++++++++++++++++++++++++++
+
+If you have multiple packages depending on ``ruyaml``, or install
+your utility together with other packages not under your control, then
+fixing your ``install_requires`` might not be so easy.
+
+Depending on your usage you might be able to "version" your usage to
+be compatible with both the old and the new. The following are some
+examples all assuming ``import ruyaml`` somewhere at the top
+of your file and some ``istream`` and ``ostream`` apropriately opened
+for reading resp. writing.
+
+
+Loading and dumping using the ``SafeLoader``::
+
+ yml = ruyaml.YAML(typ='safe', pure=True) # 'safe' load and dump
+ data = yml.load(istream)
+ yml.dump(data, ostream)
+
+Loading with the ``CSafeLoader``, dumping with
+``RoundTripLoader``. You need two ``YAML`` instances, but each of them
+can be re-used::
+
+ yml = ruyaml.YAML(typ='safe')
+ data = yml.load(istream)
+ ymlo = ruyaml.YAML() # or yaml.YAML(typ='rt')
+ ymlo.width = 1000
+ ymlo.explicit_start = True
+ ymlo.dump(data, ostream)
+
+Loading and dumping from ``pathlib.Path`` instances using the
+round-trip-loader::
+
+ # in myyaml.py
+ class MyYAML(yaml.YAML):
+ def __init__(self):
+ yaml.YAML.__init__(self)
+ self.preserve_quotes = True
+ self.indent(mapping=4, sequence=4, offset=2)
+ # in your code
+ from myyaml import MyYAML
+
+ # some pathlib.Path
+ from pathlib import Path
+ inf = Path('/tmp/in.yaml')
+ outf = Path('/tmp/out.yaml')
+
+ yml = MyYAML()
+ # no need for with statement when using pathlib.Path instances
+ data = yml.load(inf)
+ yml.dump(data, outf)
+
++++++++++++++++++++++
+Reason for API change
++++++++++++++++++++++
+
+``ruyaml`` inherited the way of doing things from ``PyYAML``. In
+particular when calling the function ``load()`` or ``dump()``
+temporary instances of ``Loader()`` resp. ``Dumper()`` were
+created that were discarded on termination of the function.
+
+This way of doing things leads to several problems:
+
+- it is virtually impossible to return information to the caller apart from the
+ constructed data structure. E.g. if you would get a YAML document
+ version number from a directive, there is no way to let the caller
+ know apart from handing back special data structures. The same
+ problem exists when trying to do on the fly
+ analysis of a document for indentation width.
+
+- these instances were composites of the various load/dump steps and
+ if you wanted to enhance one of the steps, you needed e.g. subclass
+ the emitter and make a new composite (dumper) as well, providing all
+ of the parameters (i.e. copy paste)
+
+ Alternatives, like making a class that returned a ``Dumper`` when
+ called and sets attributes before doing so, is cumbersome for
+ day-to-day use.
+
+- many routines (like ``add_representer()``) have a direct global
+ impact on all of the following calls to ``dump()`` and those are
+ difficult if not impossible to turn back. This forces the need to
+ subclass ``Loaders`` and ``Dumpers``, a long time problem in PyYAML
+ as some attributes were not ``deep_copied`` although a bug-report
+ (and fix) had been available a long time.
+
+- If you want to set an attribute, e.g. to control whether literal
+ block style scalars are allowed to have trailing spaces on a line
+ instead of being dumped as double quoted scalars, you have to change
+ the ``dump()`` family of routines, all of the ``Dumpers()`` as well
+ as the actual functionality change in ``emitter.Emitter()``. The
+ functionality change takes changing 4 (four!) lines in one file, and being able
+ to enable that another 50+ line changes (non-contiguous) in 3 more files resulting
+ in diff that is far over 200 lines long.
+
+- replacing libyaml with something that doesn't both support ``0o52``
+ and ``052`` for the integer ``42`` (instead of ``52`` as per YAML 1.2)
+ is difficult
+
+
+With ``ruyaml>=0.15.0`` the various steps "know" about the
+``YAML`` instance and can pick up setting, as well as report back
+information via that instance. Representers, etc., are added to a
+reusable instance and different YAML instances can co-exists.
+
+This change eases development and helps prevent regressions.