| Name | cofunctions JSON |
| Version |
2023.2.1
JSON |
| download |
| home_page | |
| Summary | cofunction: simple coroutines |
| upload_time | 2023-03-20 17:18:20 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.6 |
| license | |
| keywords |
generators
coroutines
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
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| Travis-CI |
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cofunctions: Simple coroutines for Python
=========================================
To create a cofunction, write a generator with the ``@cofunction`` decorator
and ``yield`` a function that does your processing.
Example of a function that accumulates a sum:
```py
from cofunctions import cofunction
from math import exp, log
@cofunction
def logsumexp(initial=0.):
'''log-sum-exp example (does not actually prevent overflow)'''
sum = initial
# this function gathers the inputs
def _(x):
nonlocal sum # important for changing values
sum += exp(x)
return sum
yield _
# do additional processing here
result = log(sum)
return result
# create the cofunction
lse = logsumexp()
# call the cofunction to do processing
partial1 = lse(1)
partial2 = lse(2)
partial3 = lse(3)
# finish the cofunction to run the additional processing
result = lse.finish()
print(partial1, partial2, partial3)
# 2.718281828459045 10.107337927389695 30.19287485057736
print(result)
# 3.40760596444438
```
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"description": "cofunctions: Simple coroutines for Python\n=========================================\n\nTo create a cofunction, write a generator with the ``@cofunction`` decorator\nand ``yield`` a function that does your processing.\n\nExample of a function that accumulates a sum:\n\n```py\nfrom cofunctions import cofunction\nfrom math import exp, log\n\n@cofunction\ndef logsumexp(initial=0.):\n '''log-sum-exp example (does not actually prevent overflow)'''\n sum = initial\n\n # this function gathers the inputs\n def _(x):\n nonlocal sum # important for changing values\n sum += exp(x)\n return sum\n\n yield _\n\n # do additional processing here\n\n result = log(sum)\n\n return result\n\n# create the cofunction\nlse = logsumexp()\n\n# call the cofunction to do processing\npartial1 = lse(1)\npartial2 = lse(2)\npartial3 = lse(3)\n\n# finish the cofunction to run the additional processing\nresult = lse.finish()\n\nprint(partial1, partial2, partial3)\n# 2.718281828459045 10.107337927389695 30.19287485057736\nprint(result)\n# 3.40760596444438\n```\n\n",
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