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Lazy computing

Based on haskell features, exemples are worth a 1000 words

Usage

.. code:: python

from lazy_computing import *

.. code:: python

for x in infinity: print(x)                         # 1 2 3 4 5 ...

for x in remove(100, infinity): print(x)            # 100 101 102 103 ...

for x in take(5, remove(100, infinity)): print(x)   # 100 101 102 103 104

for x in arithm(1, 5, ...): print(x)                # 1 5 9 13 17 ...

for x in arithm(1, 5, ..., 17): print(x)            # 1 5 9 13

for x in geom(1, 5, ...): print(x)                  # 1 5 25 125 625 ...

for x in geom(1, 5, ..., 500): print(x)             # 1 5 25 125 625 ...

for x in tail([5, 6, 7, 8]): print(x)               # 6 7 8

print(head([5, 6, 7, 8]))                           # 5
print(extract(2, [5, 6, 7, 8]))                     # 7

Documentation

  • infinity: iterable representing the infinity
  • remove(number, iterable): return an iterator without the number first element
  • extract(index, iterable): return the value at index from iterable
  • take(limit, iterable): return an iterator taking limit first value from iterable
  • head(iterable): return the first value of an iterable
  • tail(iterable): return an iterator on an iterable, without the head
  • arithm(*args): return an iterable. It guess the step from the arguments
  • geom(*args): return an iterable: It guess the factor from the arguments

Release files for lazy-computing 0.1

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Source distribution (sdist)

Source distribution for lazy-computing 0.1
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Table of built distributions (wheels) for lazy-computing 0.1
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lazy_computing-0.1-py3-none-any.whl Python 3 none any Details

Total release size: 16.9 kB

Release files / lazy_computing-0.1.tar.gz

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