knife.lazy.mathknife — Lazier evaluated mathing knife¶
- class knife.lazy.mathknife(*things, **kw)¶
Lazier evaluated mathing knife. Provides numeric and statistical operations for incoming things.
>>> from knife.lazy import mathknife
- __init__(*things, snapshots=5)¶
Parameters: - things – incoming things
- snapshots (integer) – snapshots to keep (default: 5)
- __len__()¶
Number of incoming things.
- __iter__()¶
Iterate over outgoing things.
- append(*things)¶
Insert things after other incoming things.
Parameters: things – incoming things Return type: knife object >>> from knife import __ >>> __(3, 4, 5).append(1, 2, 3, 4, 5, 6).peek() [3, 4, 5, 1, 2, 3, 4, 5, 6]
- apply(worker, *args, **kw)¶
Assign callable used to work on incoming things plus any positional arguments and keyword arguments it will use.
Note
Global positional arguments and keyword arguments assigned with params are reset whenever apply is called.
Parameters: worker – a callable Return type: knife object
- ascii(errors='strict')¶
encode outgoing things as bytes with the 'latin-1' codec.
Parameters: errors (str) – error handling for encoding Return type: knife object >>> from stuf.six import u, b >>> test = __([1], True, r't', b('i'), u('g'), None, (1,)) >>> test.ascii().oneach().peek() ['[1]', 'True', 't', 'i', 'g', 'None', '(1,)']
- average()¶
Discover average value among incoming things.
Returns: a number Return type: knife object >>> from knife import __ >>> __(10, 40, 45).average().get() 31.666666666666668
- back()¶
Switch back to knife object that piped its incoming things through this knife object.
Return type: knife object
- baseline()¶
Restore incoming things back to the baseline snapshot.
Return type: knife object >>> from knife import __ >>> undone = __(1, 2, 3).prepend(1, 2, 3, 4, 5, 6) >>> undone.peek() [1, 2, 3, 4, 5, 6, 1, 2, 3] >>> undone.snapshot().append(1).append(2).peek() [1, 2, 3, 4, 5, 6, 1, 2, 3, 1, 2] >>> undone.baseline().peek() [1, 2, 3, 4, 5, 6, 1, 2, 3]
- bytes(encoding='utf_8', errors='strict')¶
encode outgoing things as bytes.
Parameters: - encoding (str) – character encoding
- errors (str) –
error handling for encoding
Return type: knife object
>>> test = __([1], True, r't', b('i'), u('g'), None, (1,)) >>> test.bytes().oneach().peek() ['[1]', 'True', 't', 'i', 'g', 'None', '(1,)']
- count()¶
Discover how common each incoming thing is and the overall count of each incoming thing.
Returns: Collects namedtuple Count(least=int, most=int, overall=[(thing1, int), (thing2, int), ...]) Return type: knife object >>> common = __(11, 3, 5, 11, 7, 3, 5, 11).count().get() >>> # least common thing >>> common.least 7 >>> # most common thing >>> common.most 11 >>> # total count for every thing >>> common.overall [(11, 3), (3, 2), (5, 2), (7, 1)]
- max()¶
Discover the maximum value among incoming things using worker as the key function.
Return type: knife object >>> # default behavior >>> __(1, 2, 4).max().get() 4 >>> stooges = ( ... {'name': 'moe', 'age': 40}, ... {'name': 'larry', 'age': 50}, ... {'name': 'curly', 'age': 60}, ... ) >>> # using worker as key function >>> __(*stooges).worker(lambda x: x['age']).max().get() {'age': 60, 'name': 'curly'}
- median()¶
Discover the median value among incoming things.
Returns: a number Return type: knife object >>> __(4, 5, 7, 2, 1).median().get() 4 >>> __(4, 5, 7, 2, 1, 8).median().get() 4.5
- min()¶
Discover the minimum value among incoming things using worker as the key function.
Return type: knife object >>> test = __(10, 5, 100, 2, 1000) >>> test.min().get() 2 >>> test.original().worker(lambda x: x % 100 == 0).min().get() 10
- minmax()¶
Discover the minimum and maximum values among incoming things.
Returns: namedtuple MinMAx(min=value, max=value). Return type: knife object >>> minmax = __(1, 2, 4).minmax().get() >>> minmax.min 1 >>> minmax.max 4
- oneach()¶
Toggle whether each outgoing thing should be individually wrapped with the wrapper assigned with wrap (default wrapper is list ) or whether all outgoing things should be wrapped all at once.
Note
knife object default behavior is to wrap all outgoing things all at once. knife objects reset back to this behavior after get or peek is called.
Return type: knife object
- original()¶
Restore incoming things back to the original snapshot.
Note
THe original snapshot of incoming things is taken following the first knife method call but before the second knife method call (if there is a second method call)
Return type: knife object >>> undone = __(1, 2, 3).prepend(1, 2, 3, 4, 5, 6) >>> undone.peek() [1, 2, 3, 4, 5, 6, 1, 2, 3] >>> undone.original().peek() [1, 2, 3]
- params(*args, **kw)¶
Assign positional arguments and keyword arguments to be used globally.
Return type: knife object
- pattern(pattern, type='parse', flags=0)¶
Compile search pattern for use as worker.
Note
Global positional arguments and keyword arguments assigned with params are reset whenever a new pattern is compiled.
Parameters: Return type: knife object
>>> # using parse expression >>> test = __('first test', 'second test', 'third test') >>> test.pattern('first {}').filter().get() 'first test' >>> # using glob pattern >>> test.original().pattern('second*', type='glob').filter().get() 'second test' >>> # using regular expression >>> test.original().pattern('third .', type='regex').filter().get() 'third test'
- pipe(knife)¶
Pipe incoming things from some other knife object through this knife object.
Parameters: knife – another knife object Return type: knife object
- prepend(*things)¶
Insert things before other incoming things.
Parameters: things – incoming things Return type: knife object >>> __(3, 4, 5).prepend(1, 2, 3, 4, 5, 6).peek() [1, 2, 3, 4, 5, 6, 3, 4, 5]
- range()¶
Discover the length of the smallest interval that can contain the value of every incoming thing.
Returns: a number Return type: knife object >>> __(3, 5, 7, 3, 11).range().get() 8
- sum(start=0, precision=False)¶
Discover the total value of adding start and incoming things together.
Parameters: Return type: knife object
>>> # default behavior >>> __(1, 2, 3).sum().get() 6 >>> # with a starting mumber >>> __(1, 2, 3).sum(start=1).get() 7 >>> # add floating points with extended precision >>> __(.1, .1, .1, .1, .1, .1, .1, .1).sum(precision=True).get() 0.8
See also
- sum
- function in Python standard library
- undo(snapshot=0)¶
Revert incoming things to a previous snapshot.
Note
A snapshot of current incoming things is taken when a knife method is called but before the main body of the method executes.
Parameters: snapshot (int) – number of steps ago 1, 2, 3, etc. Return type: knife object >>> undone = __(1, 2, 3).prepend(1, 2, 3, 4, 5, 6) >>> undone.peek() [1, 2, 3, 4, 5, 6, 1, 2, 3] >>> # undo back one step >>> undone.append(1).undo().peek() [1, 2, 3, 4, 5, 6, 1, 2, 3] >>> # undo back one step >>> undone.append(1).append(2).undo().peek() [1, 2, 3, 4, 5, 6, 1, 2, 3, 1] >>> # undo back 2 steps >>> undone.append(1).append(2).undo(2).peek() [1, 2, 3, 4, 5, 6, 1, 2, 3, 1]
- unicode(encoding='utf_8', errors='strict')¶
unicode (str under Python 3) decode outgoing things.
Parameters: - encoding (str) –
Unicode encoding
- errors (str) –
error handling for decoding
Return type: knife object
>>> test = __([1], True, r't', b('i'), u('g'), None, (1,)) >>> test.unicode().oneach().peek() [u'[1]', u'True', u't', u'i', u'g', u'None', u'(1,)']
- encoding (str) –
- worker(worker)¶
Assign callable used to work on incoming things.
Note
Global positional arguments and keyword arguments assigned with params are reset whenever a new worker is assigned.
Parameters: worker – a callable Return type: knife object