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A library adding some anti-Pythonic syntatic sugar to Python

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czheo/syntax_sugar_python

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This lib adds some anti-Pythonic "syntactic sugar" to Python.

NOTE: This is merely an experimental prototype to show some potential of operator overloading in Python. Only tested under Python 3.6.0. Anything may evolve without announcement in advance.

Inspired byhttps://github.com/matz/streem.

Also, you can watch the last part of this Matz's talk to understand the intuition behind this project.

Stream Model

Install

pip install syntax_sugar

Use

To test out this lib, you can simply do.

fromsyntax_sugarimport*

For serious use, you can explicitly import each component as explained below ... if you dare to use this lib.

pipe

fromsyntax_sugarimportpipe,ENDfromfunctoolsimportpartialpipe(10)|range|partial(map,lambdax:x**2)|list|print|END# put 10 into the pipe and just let data flow.# output: [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]# remember to call END at the end# NOTE: everything in the middle of the pipe is just normal Python functionspipe(10)|range| (map,lambdax:x**2)|list|print|END# Tuples are shortcuts for partial functionsfromsyntax_sugarimporteachx=pipe(10)|range|each(lambdax:x**2)|END# We can also save the result in a variable.# `each` is an eager evaluated version of the partial function of `map`, which returns a list instead of a map object. (Equivalent to `map` in Python 2)pipe(10)|range|each(str)|''.join>'test.txt'# wanna write to a file? Why not!# write "0123456789" to test.txt# We don't need to put END here.

We can connect multiple pipes to create a longer pipe

fromsyntax_sugarimportpipe,each,ENDfromfunctoolsimportreducep1=pipe(10)|range|each(lambdax:x/2)# head pipe can have input valuep2=pipe()| (reduce,lambdaacc,x: (acc+x)/2)p3=pipe()|int|range|sum# middle pipes can have no input valuep1|p2|p3|END# returns 6p=p1|p2|p3p()# You can invoke the pipe by calling it as a function# you can also put a different value in the pipep(20)# returns 36

pipe with parallelism

By default, pipe works with threads.

You can have a function running in a seperate thread with pipe. Just put it in a[] or more explicitlyt[]. Threads and processes are also available.

fromsyntax_sugarimport (thread_syntaxast,process_syntaxasp)pipe(10)| [print]|END# print run in a threadpipe(10)|t[print]|END# print run in a threadpipe(10)|p[print]|END# print run in a process

What makes this syntax good is that you can specify how many threads you want to spawn, by doing[function] * n wheren is the number of threads.

pipe([1,2,3,4,5])| [print]*3|END# print will run in a ThreadPool of size 3

Here is an example of requesting a list of urls in parallel

importrequests(pipe(['google','twitter','yahoo','facebook','github'])|each(lambdaname:'http://'+name+'.com')| [requests.get]*3# !! `requests.get` runs in a ThreadPool of size 3|each(lambdaresp: (resp.url,resp.headers.get('Server')))|list|END)# returns# [('http://www.google.com/', 'gws'),#  ('https://twitter.com/', 'tsa_a'),#  ('https://www.yahoo.com/', 'ATS'),#  ('https://www.facebook.com/', None),#  ('https://github.com/', 'GitHub.com')]

infix function

fromsyntax_sugarimportis_a,has,to,step,drop1/is_a/int# equivalent to `isinstance(1, int)`1/as_a/str# "1"range(10)/has/'__iter__'# equivalent to `hasattr(range(10), "__iter__")`1/to/10# An iterator similar to `range(1, 11)`.# Python's nasty range() is right-exclusive. This is right-inclusive.10/to/1# We can go backward.'0'/to/'9'# We can also have a range of characters :)1/to/10/step/2# We can also specify step sizes.# Similar to `range(1, 11, 2)`10/to/1/step/2# Go backward.# Similar to `range(10, 0, -2)`1/to/10/drop/5# there is a `drop` functon which drop N items from the head# An iterator similar to [6, 7, 8, 9, 10]

/to/ has some advanced features

  • lazy evaluation.
  • support infinity.
  • support product operation.
  • support pipe.
fromsyntax_sugarimportINF,take,each# CAUTION: this will infinitely print numbersforiin1/to/INF:print(i)1/to/INF/take/5/as_a/list# there is a `take` functon which is similar to itertools.islice# return [1, 2, 3, 4, 5]1/to/ .../take/5/as_a/list# ... is equivalent to INF0/to/-INF/step/2/take/5/as_a/list# also works with negative infinity.# return [0, -2, -4, -6, -8](1/to/3)* (4/to/6)/as_a/list# all combinations of [1..3] * [4..6]# return [(1, 4), (1, 5), (1, 6), (2, 4), (2, 5), (2, 6), (3, 4), (3, 5), (3, 6)]1/to/10/take/5|each(lambdax:x**2)|END# These infix functions can also be piped.# [1, 4, 9, 16, 25]

Make your own infix function, so you can append multiple items to a list in one line.

fromsyntax_sugarimportinfix@infixdefpush(lst,x):lst.append(x)returnlst[]/push/1/push/2/push/3# returns [1,2,3]

You can also do

defpush(lst,x):lst.append(x)returnlstipush=push/as_a/infix[]/ipush/1/ipush/2/ipush/3# returns [1,2,3]

function composition

In math,(f * g) (x) = f(g(x)). This is called function composition.

# lmap equivalent to `list(map(...))`lmap=compose(list,map)lmap(lambdax:x**2,range(10))

Let's say we want to representf * g * h in a program, i.e.fn(x) = f(g(h(x)))

f=lambdax:x**2+1g=lambdax:2*x-1h=lambdax:-2*x**3+3fn=compose(f,g,h)fn(5)# 245026

or you can do

f=composable(lambdax:x**2+1)g=composable(lambdax:2*x-1)h=composable(lambdax:-2*x**3+3)fn=f*g*hfn(5)# 245026

Sometimes you may prefer the decorator way.

# make your own composable functions@composabledefadd2(x):returnx+2@composabledefmul3(x):returnx*3@composabledefpow2(x):returnx**2fn=add2*mul3*pow2# equivalent to `add2(mul3(pow2(n)))`fn(5)# returns 5^2 * 3 + 2 = 77

More receipes:https://github.com/czheo/syntax_sugar_python/tree/master/recipes

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