knife.active.sliceknife — Actively evaluated slicing knife¶
- class knife.active.sliceknife(*things, **kw)¶
Actively evaluated slicing knife. Provides slicing operations for incoming things.
>>> from knife.active import sliceknife
- __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,)']
- at(n, default=None)¶
Slice off incoming thing found at index n.
Parameters: - n (int) – index of some incoming thing
- default – default returned if nothing is found at n
Return type: knife object
>>> from knife import __ >>> # default behavior >>> __(5, 4, 3, 2, 1).at(2).get() 3 >>> # return default value if nothing found at index >>> __(5, 4, 3, 2, 1).at(10, 11).get() 11
See also
- “nth”
- Itertools Recipes
- 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,)']
- choice()¶
Randomly slice off one incoming thing.
Return type: knife object >>> __(1, 2, 3, 4, 5, 6).choice().get() 3
See also
- random.choice
- function in Python standard library
- dice(n, fill=None)¶
Slice one iterable incoming thing into n iterable incoming things.
Parameters: - n (int) – number of incoming things per slice
- fill – value to pad out incomplete iterables
Return type: knife object
>>> __('moe', 'larry', 'curly', 30, 40, 50, True).dice(2, 'x').get() [('moe', 'larry'), ('curly', 30), (40, 50), (True, 'x')]
See also
- “grouper”
- Itertools Recipes
- first(n=0)¶
Slice off n things from the starting end of incoming things or just the first incoming thing.
Parameters: n (int) – number of incoming things Return type: knife object >>> # default behavior >>> __(5, 4, 3, 2, 1).first().get() 5 >>> # first things from index 0 to 2 >>> __(5, 4, 3, 2, 1).first(2).get() [5, 4]
- initial()¶
Slice off every incoming thing except the last incoming thing.
Return type: knife object >>> __(5, 4, 3, 2, 1).initial().get() [5, 4, 3, 2]
- last(n=0)¶
Slice off n things from the tail end of incoming things or just the last incoming thing.
Parameters: n (int) – number of incoming things Return type: knife object >>> # default behavior >>> __(5, 4, 3, 2, 1).last().get() 1 >>> # fetch last two things >>> __(5, 4, 3, 2, 1).last(2).get() [2, 1]
- 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]
- rest()¶
Slice off every incoming thing except the first incoming thing.
Return type: knife object >>> __(5, 4, 3, 2, 1).rest().get() [4, 3, 2, 1]
- sample(n)¶
Randomly slice off n incoming things.
Parameters: n (int) – sample size Return type: knife object >>> __(1, 2, 3, 4, 5, 6).sample(3).get() [2, 4, 5]
See also
- random.sample
- function in Python standard library
- slice(start, stop=False, step=False)¶
Take slice out of incoming things.
Parameters: Return type: knife object
>>> # slice from index 0 to 3 >>> __(5, 4, 3, 2, 1).slice(2).get() [5, 4] >>> # slice from index 2 to 4 >>> __(5, 4, 3, 2, 1).slice(2, 4).get() [3, 2] >>> # slice from index 2 to 4 with 2 steps >>> __(5, 4, 3, 2, 1).slice(2, 4, 2).get() 3
See also
- itertools.islice
- function in Python standard library
- slice
- function in Underscore.lua
- 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