1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212
|
======
Morph!
======
Morph provides the following functions to help identify object types:
============================ =================================================
Name Functionality
============================ =================================================
``morph.isstr(obj)`` Is `obj` a string?
``morph.isseq(obj)`` Is `obj` a sequence-like (i.e. iterable) type
(but not a string or dict)?
``morph.isdict(obj)`` Is `obj` a dict-like type? This means that it
must have at least the following methods:
`keys()`, `values()`, and `items()`.
============================ =================================================
Morph provides the following functions to help morph objects:
============================ =================================================
Name Functionality
============================ =================================================
``morph.tobool(obj)`` Converts `obj` to a bool; if string-like, it
is matched against a list of "truthy" or "falsy"
strings; if bool-like, returns itself; then, if
the `default` parameter is not ``ValueError``
(which defaults to ``False``), returns that;
otherwise throws a ValueError exception.
``morph.tolist(obj)`` Converts `obj` to a list; if string-like, it
splits it according to Unix shell semantics (if
keyword `split` is truthy, the default); if
sequence-like, returns itself converted to a list
(optionally flattened if keyword `flat` is
truthy, the default), and otherwise returns a
list with itself as single object.
``morph.pick(...)`` Extracts a subset of key/value pairs from a
dict-like object where the key is a specific
value or has a specific prefix.
``morph.omit(...)`` Converse of `morph.pick()`.
``morph.flatten(obj)`` Converts a multi-dimensional list or dict type
to a one-dimensional list or dict.
``morph.unflatten(obj)`` Reverses the effects of `flatten` (note that
lists cannot be unflattened).
``morph.xform(obj, func)`` Recursively transforms sequences & dicts in
`object`.
============================ =================================================
Flattening
==========
When flattening a sequence-like object (i.e. list or tuple),
`morph.flatten` recursively reduces multi-dimensional arrays to a
single dimension, but only for elements of each descended list that
are list-like. For example:
.. code:: python
[1, [2, [3, 'abc', 'def', {'foo': ['zig', ['zag', 'zog']]}], 4]]
# is morphed to
[1, 2, 3, 'abc', 'def', {'foo': ['zig', ['zag', 'zog']]}, 4]
When flattening a dict-like object, it collapses list- and dict-
subkeys into indexed and dotted top-level keys. For example:
.. code:: python
{
'a': {
'b': 1,
'c': [
2,
{
'd': 3,
'e': 4,
}
]
}
}
# is morphed to
{
'a.b': 1,
'a.c[0]': 2,
'a.c[1].d': 3,
'a.c[1].e': 4,
}
(This is primarily useful when dealing with INI files, which can only
be flat: the `flatten` and `unflatten` functions allow converting
between complex structures and flat INI files).
Note that lists can never be unflattened, and unflattening dicts is
not garanteed to be round-trip consistent. The latter can happen if
the dict-to-be-flattened had keys with special characters in them,
such as a period (``'.'``) or square brackets (``'[]'``).
Picking and Omitting
====================
Morph's `pick` and `omit` functions allow you to extract a set of keys
(or properties) from a dict-like object (or plain object). These
functions will aggressively return a valid dict, regardless of the
supplied value -- i.e. if ``None`` is given as a source, an empty dict
is returned. Furthermore, the following optional keyword parameters
are accepted:
* **dict**:
Specifies the class type that should be returned, which defaults
to the standard python ``dict`` type.
* **prefix**:
For `pick`, specifies that only keys that start with the specified
string will be returned (and also filtered for the specified keys),
with the prefix stripped from the keys. If no keys are specified,
this will simply return only the keys with the specified prefix.
For `omit`, specifies that keys that start with the specified value
should be stripped from the returned dict.
* **tree**:
If specified and truthy, then the keys specified to either `pick` or
`omit` are evaluated as a multi-dimensional item addresses like
those produced by `morph.flatten`.
Examples:
.. code:: python
d = {'foo': 'bar', 'zig.a': 'b', 'zig.c': 'd'}
morph.pick(d, 'foo', 'zig.a')
# ==> {'foo', 'bar', 'zig.a': 'b'}
morph.pick(d, prefix='zig.')
# ==> {'a': 'b', 'c': 'd'}
morph.pick(d, 'c', prefix='zig.')
# ==> {'c': 'd'}
morph.omit(d, 'foo')
# ==> {'zig.a': 'b', 'zig.c': 'd'}
morph.omit(d, prefix='zig.')
# ==> {'foo': 'bar'}
class mydict(dict): pass
morph.pick(dict(foo='bar', zig='zag'), 'foo', dict=mydict)
# ==> mydict({'foo': 'bar'})
With some limitations, this also works on object properties. For
example:
.. code:: python
class X():
def __init__(self):
self.foo = 'bar'
self.zig1 = 'zog'
self.zig2 = 'zug'
def zigMethod(self):
pass
x = X()
morph.pick(x, 'foo', 'zig1')
# ==> {'foo': 'bar', 'zig1': 'zog'}
morph.pick(x, prefix='zig')
# ==> {'1': 'zog', '2': 'zug'}
morph.pick(x)
# ==> {}
morph.omit(x, 'foo')
# ==> {'zig1': 'zog', 'zig2': 'zug'}
morph.omit(x, prefix='zig')
# ==> {'foo': 'bar'}
morph.omit(x)
# ==> {'foo': 'bar', 'zig1': 'zog', 'zig2': 'zug'}
Transformation
==============
The `morph.xform` helper function can be used to recursively transform
all the items in a list & dictionary tree -- this effectively allows
the ease of list comprehensions to be applied to nested list/dict
structures.
Example:
.. code:: python
morph.xform([2, [4, {6: 8}]], lambda val, **kws: val ** 2)
# ==> [4, [16, {36: 64}]]
Note that the callback function `xformer`, passed as the second
argument to `morph.xform`, should always support an arbitrary number
of keyword parameters (i.e. should always end the parameter list with
something like ``**kws``).
|