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    Make PyUNO provide more Pythonic behaviour · af8143bc
    Matthew J. Francis yazdı
    - Simplifies working with UNO objects by giving the behaviour of
    Python lists, dicts and iterators to objects which implement UNO
    container interfaces
    
    - Applies a custom behaviour to allow objects which implement
    com::sun::star::table::XCellRange to yield cells and cell ranges by
    subscript
    
    - When UNO container objects are addressed in the new style,
    eliminates the requirement to manually construct Any objects for
    contained elements which are typed sequences
    
    - Allows lists and iterators to be passed wherever a UNO method
    accepts a sequence
    
    - Relaxes the requirements for initialising UNO structs to allow
    some members to be skipped when all initialisers are passed by name
    
    1. Collection interfaces
    ========================
    
    Objects which implement core UNO collection interfaces are made to
    behave in a way that is more natural for Python code.
    
    com::sun::star::container::XIndexAccess
    com::sun::star::container::XIndexReplace
    com::sun::star::container::XIndexContainer
    - Objects provide Python list access semantics
        num = len(obj)              # Number of elements
        val = obj[0]                # Access by index
        val1,val2 = obj[2:4]        # Access by slice
        val1,val2 = obj[0:3:2]      # Access by extended slice
        if val in obj: ...          # Test value presence
        for val in obj: ...         # Implicit iterator (values)
        itr = iter(obj)             # Named iterator (values)
        obj[0] = val                # Replace by index
        obj[2:4] = val1,val2        # Replace by slice
        obj[0:3:2] = val1,val2      # Replace by extended slice
        obj[2:3] = val1,val2        # Insert/replace by slice
        obj[2:2] = (val,)           # Insert by slice
        obj[2:4] = (val,)           # Replace/delete by slice
        obj[2:3] = ()               # Delete by slice (implicit)
        del obj[0]                  # Delete by index
        del obj[2:4]                # Delete by slice
    
    com::sun::star::container::XNameAccess
    com::sun::star::container::XNameReplace
    com::sun::star::container::XNameContainer
    - Objects provide Python dict access semantics
        num = len(obj)              # Number of keys
        val = obj[key]              # Access by key
        if key in obj: ...          # Test key presence
        for key in obj: ...         # Implicit iterator (keys)
        itr = iter(obj)             # Named iterator (keys)
        obj[key] = val              # Replace by key
        obj[key] = val              # Insert by key
        del obj[key]                # Delete by key
    
    com::sun::star::container::XEnumerationAccess
    - Objects provide Python iterable semantics
        for val in obj: ...         # Implicit iterator
        itr = iter(obj)             # Named iterator
    
    com::sun::star::container::XEnumeration
    - Objects provide Python iterator semantics
        for val in itr: ...         # Iteration of named iterator
        if val in itr: ...          # Test value presence
    
    Objects which implement both XIndex* and XName* are supported, and
    respond to both integer and string keys. However, iterating over
    such an object will return the keys (like a Python dict) rather than
    the values (like a Python list).
    
    2. Cell ranges
    ==============
    
    A custom behaviour is applied to objects which implement
    com::sun::star::table::XCellRange to allow their cells and cell
    ranges to be addressed by subscript, in the style of a Python list
    or dict (read-only). This is applicable to Calc spreadsheet sheets,
    Writer text tables and cell ranges created upon these.
        cell = cellrange[0,0]       # Access cell by indices
        rng = cellrange[0,1:2]      # Access cell range by index,slice
        rng = cellrange[1:2,0]      # Access cell range by slice,index
        rng = cellrange[0:1,2:3]    # Access cell range by slices
        rng = cellrange['A1:B2']    # Access cell range by descriptor
        rng = cellrange['Name']     # Access cell range by name
    
    Note that the indices used are in Python/C order, and differ from
    the arguments to methods provided by XCellRange.
    - The statement cellrange[r,c], which returns the cell from row r
    and column c, is equivalent to calling
        XCellRange::getCellByPosition(c,r)
    - The statement cellrange[t:b,l:r], which returns a cell range
    covering rows t to b(non-inclusive) and columns l to r(non-
    inclusive), is equivalent to calling
        XCellRange::getCellRangeByPosition(l,t,r-1,b-1).
    
    In contrast to the handling of objects implementing XIndex*,
    extended slice syntax is not supported. Negative indices (from-end
    addresses) are supported only for objects which also implement
    com::sun::star::table::XColumnRowRange (currently Calc spreadsheet
    sheets and cell ranges created upon these). For such objects, the
    following syntax is also available:
        rng = cellrange[0]          # Access cell range by row index
        rng = cellrange[0,:]        # Access cell range by row index
        rng = cellrange[:,0]        # Access cell range by column index
    
    3. Elimination of explicit Any
    ==============================
    
    PyUNO has not previously been able to cope with certain method
    arguments which are typed as Any but require a sequence of specific
    type to be passed. This is a particular issue for container
    interfaces such as XIndexContainer and XNameContainer.
    
    The existing solution to dealing with such methods is to use a
    special method to pass an explicitly typed Any, giving code such as:
    
        index = doc.createInstance("com.sun.star.text.ContentIndex");
        ...
        uno.invoke( index.LevelParagraphStyles , "replaceByIndex",
                    (0, uno.Any("[]string", ('Caption',))) )
    
    The new Pythonic container access is able to correctly infer the
    expected type of the sequences required by these arguments. In the
    new style, the above call to .replaceByIndex() can instead be
    written:
    
        index.LevelParagraphStyles[0] = ('Caption',)
    
    4. List and iterator arguments
    ==============================
    
    Wherever a UNO API expects a sequence, a Python list or iterator can
    now be passed. This enables the use of list comprehensions and
    generator expressions for method calls and property assignments.
    
    Example:
    
        tbl = doc.createInstance('com.sun.star.text.TextTable')
        tbl.initialize(10,10)
        # ... insert table ...
        # Assign numbers 0..99 to the cells using a generator expression
        tbl.Data = ((y for y in range(10*x,10*x + 10)) for x in range(10))
    
    5. Tolerant struct initialisation
    =================================
    
    Previously, a UNO struct could be created fully uninitialised, or by
    passing a combination of positional and/or named arguments to its
    constructor. However, if any arguments were passed, all members were
    required to be initialised or an exception was thrown.
    This requirement is relaxed such that when all arguments passed to a
    struct constructor are by name, some may be omitted. The existing
    requirement that all members must be explicitly initialised when
    some constructor arguments are unnamed (positional) is not affected.
    
    Example:
    
        from com.sun.star.beans import PropertyValue
        prop = PropertyValue(Name='foo', Value='bar')
    
    Change-Id: Id29bff10a18099b1a00af1abee1a6c1bc58b3978
    Reviewed-on: https://gerrit.libreoffice.org/16272Tested-by: 's avatarJenkins <ci@libreoffice.org>
    Reviewed-by: 's avatarMatthew Francis <mjay.francis@gmail.com>
    af8143bc
PythonTest_pytests.mk 1.07 KB