| Name | pipe21 JSON |
| Version |
1.23.0
JSON |
| download |
| home_page | None |
| Summary | simple functional pipes |
| upload_time | 2024-04-13 07:22:31 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | None |
| keywords |
|
| VCS |
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| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://pypi.org/project/pipe21/)
[](https://coveralls.io/github/tandav/pipe21?branch=coveralls-bage)
<img src="https://github.com/tandav/pipe21/assets/5549677/40544d91-475b-4c80-be55-c516810966c3" height="100">
# pipe21 - simple functional pipes [[docs]](https://tandav.github.io/pipe21)
## Basic version
just copy-paste it!
Most frequently used operators. It's often easier to copypaste than install and import.
```py
class B:
def __init__(self, f): self.f = f
class Pipe (B): __ror__ = lambda self, x: self.f(x)
class Map (B): __ror__ = lambda self, x: map (self.f, x)
class Filter(B): __ror__ = lambda self, x: filter(self.f, x)
```
or install using pip:
```py
pip install pipe21
```
## Examples
#### little docs
```py
from pipe21 import *
x | Pipe(f) == f (x )
x | Map(f) == map (f, x)
x | Filter(f) == filter(f, x)
x | Reduce(f) == reduce(f, x)
```
---
#### simple pipes
```py
range(5) | Pipe(list) # [0, 1, 2, 3, 4]
range(5) | Map(str) | Pipe(''.join) # '01234'
range(5) | Filter(lambda x: x % 2 == 0) | Pipe(list) # [0, 2, 4]
range(5) | Reduce(lambda a, b: a + b) # 10
```
---
#### print digits
```py
range(1_000_000) | Map(chr) | Filter(str.isdigit) | Pipe(''.join)
```
Output:
```
0123456789²³¹٠١٢٣٤٥٦٧٨٩۰۱۲۳۴۵۶۷۸۹߀߁߂߃߄߅߆߇߈߉०१२३४५६७८९০১২৩৪৫৬৭৮৯੦੧੨੩੪੫੬੭੮੯૦૧૨૩૪૫૬૭૮૯୦୧୨୩୪୫୬୭୮୯௦௧௨௩௪௫௬௭௮௯౦౧౨౩౪౫౬౭౮౯೦೧೨೩೪೫೬೭೮೯൦൧൨൩൪൫൬൭൮൯෦෧෨෩෪෫෬෭෮෯๐๑๒๓๔๕๖๗๘๙໐໑໒໓໔໕໖໗໘໙༠༡༢༣༤༥༦༧༨༩၀၁၂၃၄၅၆၇၈၉႐႑႒႓႔႕႖႗႘႙፩፪፫፬፭፮፯፰፱០១២៣៤៥៦៧៨៩᠐᠑᠒᠓᠔᠕᠖᠗᠘᠙᥆᥇᥈᥉᥊᥋᥌᥍᥎᥏᧐᧑᧒᧓᧔᧕᧖᧗᧘᧙᧚᪀᪁᪂᪃᪄᪅᪆᪇᪈᪉᪐᪑᪒᪓᪔᪕᪖᪗᪘᪙᭐᭑᭒᭓᭔᭕᭖᭗᭘᭙᮰᮱᮲᮳᮴᮵᮶᮷᮸᮹᱀᱁᱂᱃᱄᱅᱆᱇᱈᱉᱐᱑᱒᱓᱔᱕᱖᱗᱘᱙⁰⁴⁵⁶⁷⁸⁹₀₁₂₃₄₅₆₇₈₉①②③④⑤⑥⑦⑧⑨⑴⑵⑶⑷⑸⑹⑺⑻⑼⒈⒉⒊⒋⒌⒍⒎⒏⒐⓪⓵⓶⓷⓸⓹⓺⓻⓼⓽⓿❶❷❸❹❺❻❼❽❾➀➁➂➃➄➅➆➇➈➊➋➌➍➎➏➐➑➒꘠꘡꘢꘣꘤꘥꘦꘧꘨꘩꣐꣑꣒꣓꣔꣕꣖꣗꣘꣙꤀꤁꤂꤃꤄꤅꤆꤇꤈꤉꧐꧑꧒꧓꧔꧕꧖꧗꧘꧙꧰꧱꧲꧳꧴꧵꧶꧷꧸꧹꩐꩑꩒꩓꩔꩕꩖꩗꩘꩙꯰꯱꯲꯳꯴꯵꯶꯷꯸꯹０１２３４５６７８９𐒠𐒡𐒢𐒣𐒤𐒥𐒦𐒧𐒨𐒩𐩀𐩁𐩂𐩃𐴰𐴱𐴲𐴳𐴴𐴵𐴶𐴷𐴸𐴹𐹠𐹡𐹢𐹣𐹤𐹥𐹦𐹧𐹨𑁒𑁓𑁔𑁕𑁖𑁗𑁘𑁙𑁚𑁦𑁧𑁨𑁩𑁪𑁫𑁬𑁭𑁮𑁯𑃰𑃱𑃲𑃳𑃴𑃵𑃶𑃷𑃸𑃹𑄶𑄷𑄸𑄹𑄺𑄻𑄼𑄽𑄾𑄿𑇐𑇑𑇒𑇓𑇔𑇕𑇖𑇗𑇘𑇙𑋰𑋱𑋲𑋳𑋴𑋵𑋶𑋷𑋸𑋹𑑐𑑑𑑒𑑓𑑔𑑕𑑖𑑗𑑘𑑙𑓐𑓑𑓒𑓓𑓔𑓕𑓖𑓗𑓘𑓙𑙐𑙑𑙒𑙓𑙔𑙕𑙖𑙗𑙘𑙙𑛀𑛁𑛂𑛃𑛄𑛅𑛆𑛇𑛈𑛉𑜰𑜱𑜲𑜳𑜴𑜵𑜶𑜷𑜸𑜹𑣠𑣡𑣢𑣣𑣤𑣥𑣦𑣧𑣨𑣩𑱐𑱑𑱒𑱓𑱔𑱕𑱖𑱗𑱘𑱙𑵐𑵑𑵒𑵓𑵔𑵕𑵖𑵗𑵘𑵙𑶠𑶡𑶢𑶣𑶤𑶥𑶦𑶧𑶨𑶩𖩠𖩡𖩢𖩣𖩤𖩥𖩦𖩧𖩨𖩩𖭐𖭑𖭒𖭓𖭔𖭕𖭖𖭗𖭘𖭙𝟎𝟏𝟐𝟑𝟒𝟓𝟔𝟕𝟖𝟗𝟘𝟙𝟚𝟛𝟜𝟝𝟞𝟟𝟠𝟡𝟢𝟣𝟤𝟥𝟦𝟧𝟨𝟩𝟪𝟫𝟬𝟭𝟮𝟯𝟰𝟱𝟲𝟳𝟴𝟵𝟶𝟷𝟸𝟹𝟺𝟻𝟼𝟽𝟾𝟿𞅀𞅁𞅂𞅃𞅄𞅅𞅆𞅇𞅈𞅉𞋰𞋱𞋲𞋳𞋴𞋵𞋶𞋷𞋸𞋹𞥐𞥑𞥒𞥓𞥔𞥕𞥖𞥗𞥘𞥙🄀🄁🄂🄃🄄🄅🄆🄇🄈🄉🄊'
```
#### chunked
```py
>>> range(5) | Chunked(2) | Pipe(list)
[(0, 1), (2, 3), (4,)]
```
---
## Extended version
```py
import pipe21 as P
```
#### FizzBuzz
```py
(
range(1, 100)
| P.MapSwitch([
(lambda i: i % 3 == i % 5 == 0, lambda x: 'FizzBuzz'),
(lambda i: i % 3 == 0, lambda x: 'Fizz'),
(lambda i: i % 5 == 0, lambda x: 'Buzz'),
])
| P.Pipe(list)
)
[1, 2, 'Fizz', 4, 'Buzz', 'Fizz', 7, 8, 'Fizz', 'Buzz', 11, 'Fizz', 13, 14, 'FizzBuzz', 16, 17, 'Fizz', 19, 'Buzz', 'Fizz', 22, 23, 'Fizz', 'Buzz', 26, 'Fizz', 28, 29, 'FizzBuzz', 31, 32, 'Fizz', 34, 'Buzz', 'Fizz', 37, 38, 'Fizz', 'Buzz', 41, 'Fizz', 43, 44, 'FizzBuzz', 46, 47, 'Fizz', 49, 'Buzz', 'Fizz', 52, 53, 'Fizz', 'Buzz', 56, 'Fizz', 58, 59, 'FizzBuzz', 61, 62, 'Fizz', 64, 'Buzz', 'Fizz', 67, 68, 'Fizz', 'Buzz', 71, 'Fizz', 73, 74, 'FizzBuzz', 76, 77, 'Fizz', 79, 'Buzz', 'Fizz', 82, 83, 'Fizz', 'Buzz', 86, 'Fizz', 88, 89, 'FizzBuzz', 91, 92, 'Fizz', 94, 'Buzz', 'Fizz', 97, 98, 'Fizz']
```
---
#### play random music from youtube links in markdown files:
```py
import pathlib
import random
import itertools
import re
import operator
import webbrowser
import pipe21 as P
(
pathlib.Path.home() / 'docs/knowledge/music' # take a directory
| P.MethodCaller('rglob', '*.md') # find all markdown files
| P.FlatMap(lambda p: p | P.IterLines()) # read all lines from all files and flatten into a single iterable
| P.FlatMap(lambda l: re.findall(r'\[(.+)\]\((.+)\)', l)) # keep only lines with a markdown link
| P.Map(operator.itemgetter(1)) # extract a link
| P.Pipe(list) # convert iterable of links into a list
| P.Pipe(random.choice) # choose random link
| P.Pipe(webbrowser.open) # open link in browser
)
```
---
- [all available methods reference](reference.md)
- [review of similar tools / alternatives](similar-tools.md)
- written in pure python, no dependencies
Raw data
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"author_email": "Alexander Rodionov <tandav@tandav.me>",
"download_url": "https://files.pythonhosted.org/packages/ae/0d/3a35f5ac0b596a2c6a8d67697524d85760822ac8dce43fb0256a9571a5d9/pipe21-1.23.0.tar.gz",
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"description": "[](https://pypi.org/project/pipe21/)\n[](https://coveralls.io/github/tandav/pipe21?branch=coveralls-bage)\n\n<img src=\"https://github.com/tandav/pipe21/assets/5549677/40544d91-475b-4c80-be55-c516810966c3\" height=\"100\">\n\n# pipe21 - simple functional pipes [[docs]](https://tandav.github.io/pipe21)\n\n## Basic version\njust copy-paste it!\n\nMost frequently used operators. It's often easier to copypaste than install and import.\n\n```py\nclass B:\n def __init__(self, f): self.f = f\nclass Pipe (B): __ror__ = lambda self, x: self.f(x)\nclass Map (B): __ror__ = lambda self, x: map (self.f, x)\nclass Filter(B): __ror__ = lambda self, x: filter(self.f, x)\n```\n\nor install using pip:\n\n```py\npip install pipe21\n```\n\n## Examples\n\n#### little docs\n\n```py\nfrom pipe21 import *\n\nx | Pipe(f) == f (x )\nx | Map(f) == map (f, x)\nx | Filter(f) == filter(f, x)\nx | Reduce(f) == reduce(f, x)\n```\n\n---\n\n#### simple pipes\n\n```py\nrange(5) | Pipe(list) # [0, 1, 2, 3, 4]\nrange(5) | Map(str) | Pipe(''.join) # '01234'\nrange(5) | Filter(lambda x: x % 2 == 0) | Pipe(list) # [0, 2, 4]\nrange(5) | Reduce(lambda a, b: a + b) # 10\n```\n\n---\n\n#### print digits\n\n```py\nrange(1_000_000) | Map(chr) | Filter(str.isdigit) | Pipe(''.join)\n```\nOutput:\n\n```\n0123456789\u00b2\u00b3\u00b9\u0660\u0661\u0662\u0663\u0664\u0665\u0666\u0667\u0668\u0669\u06f0\u06f1\u06f2\u06f3\u06f4\u06f5\u06f6\u06f7\u06f8\u06f9\u07c0\u07c1\u07c2\u07c3\u07c4\u07c5\u07c6\u07c7\u07c8\u07c9\u0966\u0967\u0968\u0969\u096a\u096b\u096c\u096d\u096e\u096f\u09e6\u09e7\u09e8\u09e9\u09ea\u09eb\u09ec\u09ed\u09ee\u09ef\u0a66\u0a67\u0a68\u0a69\u0a6a\u0a6b\u0a6c\u0a6d\u0a6e\u0a6f\u0ae6\u0ae7\u0ae8\u0ae9\u0aea\u0aeb\u0aec\u0aed\u0aee\u0aef\u0b66\u0b67\u0b68\u0b69\u0b6a\u0b6b\u0b6c\u0b6d\u0b6e\u0b6f\u0be6\u0be7\u0be8\u0be9\u0bea\u0beb\u0bec\u0bed\u0bee\u0bef\u0c66\u0c67\u0c68\u0c69\u0c6a\u0c6b\u0c6c\u0c6d\u0c6e\u0c6f\u0ce6\u0ce7\u0ce8\u0ce9\u0cea\u0ceb\u0cec\u0ced\u0cee\u0cef\u0d66\u0d67\u0d68\u0d69\u0d6a\u0d6b\u0d6c\u0d6d\u0d6e\u0d6f\u0de6\u0de7\u0de8\u0de9\u0dea\u0deb\u0dec\u0ded\u0dee\u0def\u0e50\u0e51\u0e52\u0e53\u0e54\u0e55\u0e56\u0e57\u0e58\u0e59\u0ed0\u0ed1\u0ed2\u0ed3\u0ed4\u0ed5\u0ed6\u0ed7\u0ed8\u0ed9\u0f20\u0f21\u0f22\u0f23\u0f24\u0f25\u0f26\u0f27\u0f28\u0f29\u1040\u1041\u1042\u1043\u1044\u1045\u1046\u1047\u1048\u1049\u1090\u1091\u1092\u1093\u1094\u1095\u1096\u1097\u1098\u1099\u1369\u136a\u136b\u136c\u136d\u136e\u136f\u1370\u1371\u17e0\u17e1\u17e2\u17e3\u17e4\u17e5\u17e6\u17e7\u17e8\u17e9\u1810\u1811\u1812\u1813\u1814\u1815\u1816\u1817\u1818\u1819\u1946\u1947\u1948\u1949\u194a\u194b\u194c\u194d\u194e\u194f\u19d0\u19d1\u19d2\u19d3\u19d4\u19d5\u19d6\u19d7\u19d8\u19d9\u19da\u1a80\u1a81\u1a82\u1a83\u1a84\u1a85\u1a86\u1a87\u1a88\u1a89\u1a90\u1a91\u1a92\u1a93\u1a94\u1a95\u1a96\u1a97\u1a98\u1a99\u1b50\u1b51\u1b52\u1b53\u1b54\u1b55\u1b56\u1b57\u1b58\u1b59\u1bb0\u1bb1\u1bb2\u1bb3\u1bb4\u1bb5\u1bb6\u1bb7\u1bb8\u1bb9\u1c40\u1c41\u1c42\u1c43\u1c44\u1c45\u1c46\u1c47\u1c48\u1c49\u1c50\u1c51\u1c52\u1c53\u1c54\u1c55\u1c56\u1c57\u1c58\u1c59\u2070\u2074\u2075\u2076\u2077\u2078\u2079\u2080\u2081\u2082\u2083\u2084\u2085\u2086\u2087\u2088\u2089\u2460\u2461\u2462\u2463\u2464\u2465\u2466\u2467\u2468\u2474\u2475\u2476\u2477\u2478\u2479\u247a\u247b\u247c\u2488\u2489\u248a\u248b\u248c\u248d\u248e\u248f\u2490\u24ea\u24f5\u24f6\u24f7\u24f8\u24f9\u24fa\u24fb\u24fc\u24fd\u24ff\u2776\u2777\u2778\u2779\u277a\u277b\u277c\u277d\u277e\u2780\u2781\u2782\u2783\u2784\u2785\u2786\u2787\u2788\u278a\u278b\u278c\u278d\u278e\u278f\u2790\u2791\u2792\ua620\ua621\ua622\ua623\ua624\ua625\ua626\ua627\ua628\ua629\ua8d0\ua8d1\ua8d2\ua8d3\ua8d4\ua8d5\ua8d6\ua8d7\ua8d8\ua8d9\ua900\ua901\ua902\ua903\ua904\ua905\ua906\ua907\ua908\ua909\ua9d0\ua9d1\ua9d2\ua9d3\ua9d4\ua9d5\ua9d6\ua9d7\ua9d8\ua9d9\ua9f0\ua9f1\ua9f2\ua9f3\ua9f4\ua9f5\ua9f6\ua9f7\ua9f8\ua9f9\uaa50\uaa51\uaa52\uaa53\uaa54\uaa55\uaa56\uaa57\uaa58\uaa59\uabf0\uabf1\uabf2\uabf3\uabf4\uabf5\uabf6\uabf7\uabf8\uabf9\uff10\uff11\uff12\uff13\uff14\uff15\uff16\uff17\uff18\uff19\ud801\udca0\ud801\udca1\ud801\udca2\ud801\udca3\ud801\udca4\ud801\udca5\ud801\udca6\ud801\udca7\ud801\udca8\ud801\udca9\ud802\ude40\ud802\ude41\ud802\ude42\ud802\ude43\ud803\udd30\ud803\udd31\ud803\udd32\ud803\udd33\ud803\udd34\ud803\udd35\ud803\udd36\ud803\udd37\ud803\udd38\ud803\udd39\ud803\ude60\ud803\ude61\ud803\ude62\ud803\ude63\ud803\ude64\ud803\ude65\ud803\ude66\ud803\ude67\ud803\ude68\ud804\udc52\ud804\udc53\ud804\udc54\ud804\udc55\ud804\udc56\ud804\udc57\ud804\udc58\ud804\udc59\ud804\udc5a\ud804\udc66\ud804\udc67\ud804\udc68\ud804\udc69\ud804\udc6a\ud804\udc6b\ud804\udc6c\ud804\udc6d\ud804\udc6e\ud804\udc6f\ud804\udcf0\ud804\udcf1\ud804\udcf2\ud804\udcf3\ud804\udcf4\ud804\udcf5\ud804\udcf6\ud804\udcf7\ud804\udcf8\ud804\udcf9\ud804\udd36\ud804\udd37\ud804\udd38\ud804\udd39\ud804\udd3a\ud804\udd3b\ud804\udd3c\ud804\udd3d\ud804\udd3e\ud804\udd3f\ud804\uddd0\ud804\uddd1\ud804\uddd2\ud804\uddd3\ud804\uddd4\ud804\uddd5\ud804\uddd6\ud804\uddd7\ud804\uddd8\ud804\uddd9\ud804\udef0\ud804\udef1\ud804\udef2\ud804\udef3\ud804\udef4\ud804\udef5\ud804\udef6\ud804\udef7\ud804\udef8\ud804\udef9\ud805\udc50\ud805\udc51\ud805\udc52\ud805\udc53\ud805\udc54\ud805\udc55\ud805\udc56\ud805\udc57\ud805\udc58\ud805\udc59\ud805\udcd0\ud805\udcd1\ud805\udcd2\ud805\udcd3\ud805\udcd4\ud805\udcd5\ud805\udcd6\ud805\udcd7\ud805\udcd8\ud805\udcd9\ud805\ude50\ud805\ude51\ud805\ude52\ud805\ude53\ud805\ude54\ud805\ude55\ud805\ude56\ud805\ude57\ud805\ude58\ud805\ude59\ud805\udec0\ud805\udec1\ud805\udec2\ud805\udec3\ud805\udec4\ud805\udec5\ud805\udec6\ud805\udec7\ud805\udec8\ud805\udec9\ud805\udf30\ud805\udf31\ud805\udf32\ud805\udf33\ud805\udf34\ud805\udf35\ud805\udf36\ud805\udf37\ud805\udf38\ud805\udf39\ud806\udce0\ud806\udce1\ud806\udce2\ud806\udce3\ud806\udce4\ud806\udce5\ud806\udce6\ud806\udce7\ud806\udce8\ud806\udce9\ud807\udc50\ud807\udc51\ud807\udc52\ud807\udc53\ud807\udc54\ud807\udc55\ud807\udc56\ud807\udc57\ud807\udc58\ud807\udc59\ud807\udd50\ud807\udd51\ud807\udd52\ud807\udd53\ud807\udd54\ud807\udd55\ud807\udd56\ud807\udd57\ud807\udd58\ud807\udd59\ud807\udda0\ud807\udda1\ud807\udda2\ud807\udda3\ud807\udda4\ud807\udda5\ud807\udda6\ud807\udda7\ud807\udda8\ud807\udda9\ud81a\ude60\ud81a\ude61\ud81a\ude62\ud81a\ude63\ud81a\ude64\ud81a\ude65\ud81a\ude66\ud81a\ude67\ud81a\ude68\ud81a\ude69\ud81a\udf50\ud81a\udf51\ud81a\udf52\ud81a\udf53\ud81a\udf54\ud81a\udf55\ud81a\udf56\ud81a\udf57\ud81a\udf58\ud81a\udf59\ud835\udfce\ud835\udfcf\ud835\udfd0\ud835\udfd1\ud835\udfd2\ud835\udfd3\ud835\udfd4\ud835\udfd5\ud835\udfd6\ud835\udfd7\ud835\udfd8\ud835\udfd9\ud835\udfda\ud835\udfdb\ud835\udfdc\ud835\udfdd\ud835\udfde\ud835\udfdf\ud835\udfe0\ud835\udfe1\ud835\udfe2\ud835\udfe3\ud835\udfe4\ud835\udfe5\ud835\udfe6\ud835\udfe7\ud835\udfe8\ud835\udfe9\ud835\udfea\ud835\udfeb\ud835\udfec\ud835\udfed\ud835\udfee\ud835\udfef\ud835\udff0\ud835\udff1\ud835\udff2\ud835\udff3\ud835\udff4\ud835\udff5\ud835\udff6\ud835\udff7\ud835\udff8\ud835\udff9\ud835\udffa\ud835\udffb\ud835\udffc\ud835\udffd\ud835\udffe\ud835\udfff\ud838\udd40\ud838\udd41\ud838\udd42\ud838\udd43\ud838\udd44\ud838\udd45\ud838\udd46\ud838\udd47\ud838\udd48\ud838\udd49\ud838\udef0\ud838\udef1\ud838\udef2\ud838\udef3\ud838\udef4\ud838\udef5\ud838\udef6\ud838\udef7\ud838\udef8\ud838\udef9\ud83a\udd50\ud83a\udd51\ud83a\udd52\ud83a\udd53\ud83a\udd54\ud83a\udd55\ud83a\udd56\ud83a\udd57\ud83a\udd58\ud83a\udd59\ud83c\udd00\ud83c\udd01\ud83c\udd02\ud83c\udd03\ud83c\udd04\ud83c\udd05\ud83c\udd06\ud83c\udd07\ud83c\udd08\ud83c\udd09\ud83c\udd0a'\n```\n\n#### chunked\n\n```py\n>>> range(5) | Chunked(2) | Pipe(list)\n[(0, 1), (2, 3), (4,)]\n```\n\n---\n\n## Extended version\n```py\nimport pipe21 as P\n```\n\n#### FizzBuzz\n\n```py\n(\n range(1, 100)\n | P.MapSwitch([\n (lambda i: i % 3 == i % 5 == 0, lambda x: 'FizzBuzz'),\n (lambda i: i % 3 == 0, lambda x: 'Fizz'),\n (lambda i: i % 5 == 0, lambda x: 'Buzz'),\n ])\n | P.Pipe(list)\n)\n\n[1, 2, 'Fizz', 4, 'Buzz', 'Fizz', 7, 8, 'Fizz', 'Buzz', 11, 'Fizz', 13, 14, 'FizzBuzz', 16, 17, 'Fizz', 19, 'Buzz', 'Fizz', 22, 23, 'Fizz', 'Buzz', 26, 'Fizz', 28, 29, 'FizzBuzz', 31, 32, 'Fizz', 34, 'Buzz', 'Fizz', 37, 38, 'Fizz', 'Buzz', 41, 'Fizz', 43, 44, 'FizzBuzz', 46, 47, 'Fizz', 49, 'Buzz', 'Fizz', 52, 53, 'Fizz', 'Buzz', 56, 'Fizz', 58, 59, 'FizzBuzz', 61, 62, 'Fizz', 64, 'Buzz', 'Fizz', 67, 68, 'Fizz', 'Buzz', 71, 'Fizz', 73, 74, 'FizzBuzz', 76, 77, 'Fizz', 79, 'Buzz', 'Fizz', 82, 83, 'Fizz', 'Buzz', 86, 'Fizz', 88, 89, 'FizzBuzz', 91, 92, 'Fizz', 94, 'Buzz', 'Fizz', 97, 98, 'Fizz']\n```\n\n---\n\n#### play random music from youtube links in markdown files:\n\n```py\nimport pathlib\nimport random\nimport itertools\nimport re\nimport operator\nimport webbrowser\nimport pipe21 as P\n\n\n(\n pathlib.Path.home() / 'docs/knowledge/music' # take a directory\n | P.MethodCaller('rglob', '*.md') # find all markdown files\n | P.FlatMap(lambda p: p | P.IterLines()) # read all lines from all files and flatten into a single iterable\n | P.FlatMap(lambda l: re.findall(r'\\[(.+)\\]\\((.+)\\)', l)) # keep only lines with a markdown link\n | P.Map(operator.itemgetter(1)) # extract a link\n | P.Pipe(list) # convert iterable of links into a list\n | P.Pipe(random.choice) # choose random link\n | P.Pipe(webbrowser.open) # open link in browser\n)\n```\n\n---\n\n- [all available methods reference](reference.md)\n- [review of similar tools / alternatives](similar-tools.md)\n- written in pure python, no dependencies\n",
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