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added micro_blog #3268

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15 changes: 15 additions & 0 deletions config.json
Original file line number Diff line number Diff line change
Expand Up @@ -450,6 +450,21 @@
"prerequisites": ["basics", "bools", "conditionals", "strings"],
"difficulty": 1
},
{
"slug": "micro-blog",
"name": "Micro Blog",
"uuid": "09494d98-5a80-482f-bd97-924e4817eab5",
"practices": ["sequences"],
"prerequisites": [
"basics",
"conditionals",
"lists",
"loops",
"numbers",
"strings"
],
"difficulty": 1
},
{
"slug": "space-age",
"name": "Space Age",
Expand Down
37 changes: 37 additions & 0 deletions exercises/practice/micro-blog/.docs/instructions.md
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# Instructions

You have identified a gap in the social media market for very very short posts.
Now that Twitter allows 280 character posts, people wanting quick social media updates aren't being served.
You decide to create your own social media network.

To make your product noteworthy, you make it extreme and only allow posts of 5 or less characters.
Any posts of more than 5 characters should be truncated to 5.

To allow your users to express themselves fully, you allow Emoji and other Unicode.

The task is to truncate input strings to 5 characters.

## Text Encodings

Text stored digitally has to be converted to a series of bytes.
There are 3 ways to map characters to bytes in common use.

- **ASCII** can encode English language characters.
All characters are precisely 1 byte long.
- **UTF-8** is a Unicode text encoding.
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- **UTF-8** is a Unicode text encoding.
- **UTF-8** is a variable-length Unicode text encoding.

Characters take between 1 and 4 bytes.
- **UTF-16** is a Unicode text encoding.
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- **UTF-16** is a Unicode text encoding.
- **UTF-16** is also a variable-length Unicode text encoding.

Characters are either 2 or 4 bytes long.

UTF-8 and UTF-16 are both Unicode encodings which means they're capable of representing a massive range of characters including:
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@BethanyG BethanyG Jun 15, 2023

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UTF-8 and UTF-16 are both Unicode encodings which means they're capable of representing a massive range of characters including:
UTF-8 and UTF-16 are both capable of representing a massive range of reader-perceived 'characters' or [graphemes][grapheme] including:


- Text in most of the world's languages and scripts
- Historic text
- Emoji
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- Emoji
- Emoji
- Symbols used in Physics and Mathematics


UTF-8 and UTF-16 are both variable length encodings, which means that different characters take up different amounts of space.
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UTF-8 and UTF-16 are both variable length encodings, which means that different characters take up different amounts of space.
UTF-8 and UTF-16 are both variable length encodings, which means that different graphemes can take up different amounts of space.


Consider the letter 'a' and the emoji '😛'.
In UTF-16 the letter takes 2 bytes but the emoji takes 4 bytes.

The trick to this exercise is to use APIs designed around Unicode characters (codepoints) instead of Unicode codeunits.
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The trick to this exercise is to use APIs designed around Unicode characters (codepoints) instead of Unicode codeunits.
The trick to this exercise is to use APIs designed around Unicode characters (codepoints) instead of Unicode codeunits.
[grapheme]: https://dictionary.cambridge.org/us/dictionary/english/grapheme

19 changes: 19 additions & 0 deletions exercises/practice/micro-blog/.meta/config.json
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{
"blurb": "Given an input string, truncate it to 5 characters.",
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"blurb": "Given an input string, truncate it to 5 characters.",
"blurb": "Given a Unicode input string, truncate it to 5 grapheme clusters.",

"authors": [
"meatball133",
"Bethanyg"
],
"contributors": [],
"files": {
"solution": [
"micro_blog.py"
],
"test": [
"micro_blog_test.py"
],
"example": [
".meta/example.py"
]
}
}
2 changes: 2 additions & 0 deletions exercises/practice/micro-blog/.meta/example.py
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def truncate(letters):
return letters[:5]
17 changes: 17 additions & 0 deletions exercises/practice/micro-blog/.meta/template.j2
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{%- import "generator_macros.j2" as macros with context -%}
{% macro test_case(case) -%}
{% if "→" in case["description"] %}
def test_german_language_long(self):
{% else %}
def test_{{case["description"] | to_snake}}(self):
{% endif %}
self.assertEqual({{ case["property"] | to_snake }}("{{case["input"]["phrase"]}}"),
"{{case["expected"]}}"
)
{%- endmacro %}
{{ macros.header()}}

class {{ exercise | camel_case }}Test(unittest.TestCase):
{% for case in cases -%}
{{ test_case(case) }}
{% endfor %}
46 changes: 46 additions & 0 deletions exercises/practice/micro-blog/.meta/tests.toml
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# This is an auto-generated file.
#
# Regenerating this file via `configlet sync` will:
# - Recreate every `description` key/value pair
# - Recreate every `reimplements` key/value pair, where they exist in problem-specifications
# - Remove any `include = true` key/value pair (an omitted `include` key implies inclusion)
# - Preserve any other key/value pair
#
# As user-added comments (using the # character) will be removed when this file
# is regenerated, comments can be added via a `comment` key.

[b927b57f-7c98-42fd-8f33-fae091dc1efc]
description = "English language short"

[a3fcdc5b-0ed4-4f49-80f5-b1a293eac2a0]
description = "English language long"

[01910864-8e15-4007-9c7c-ac956c686e60]
description = "German language short (broth)"

[f263e488-aefb-478f-a671-b6ba99722543]
description = "German language long (bear carpet → beards)"

[0916e8f1-41d7-4402-a110-b08aa000342c]
description = "Bulgarian language short (good)"

[bed6b89c-03df-4154-98e6-a61a74f61b7d]
description = "Greek language short (health)"

[485a6a70-2edb-424d-b999-5529dbc8e002]
description = "Maths short"

[8b4b7b51-8f48-4fbe-964e-6e4e6438be28]
description = "Maths long"

[71f4a192-0566-4402-a512-fe12878be523]
description = "English and emoji short"

[6f0f71f3-9806-4759-a844-fa182f7bc203]
description = "Emoji short"

[ce71fb92-5214-46d0-a7f8-d5ba56b4cc6e]
description = "Emoji long"

[5dee98d2-d56e-468a-a1f2-121c3f7c5a0b]
description = "Royal Flush?"
2 changes: 2 additions & 0 deletions exercises/practice/micro-blog/micro_blog.py
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def truncate(string):
return string[:5]
57 changes: 57 additions & 0 deletions exercises/practice/micro-blog/micro_blog_test.py
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import unittest

from micro_blog import (
truncate,
)

# Tests adapted from `problem-specifications//canonical-data.json`


class MicroBlogTest(unittest.TestCase):
def test_english_language_short(self):

self.assertEqual(truncate("Hi"), "Hi")

def test_english_language_long(self):

self.assertEqual(truncate("Hello there"), "Hello")

def test_german_language_short_broth(self):

self.assertEqual(truncate("brühe"), "brühe")

def test_german_language_long(self):

self.assertEqual(truncate("Bärteppich"), "Bärte")

def test_bulgarian_language_short_good(self):

self.assertEqual(truncate("Добър"), "Добър")

def test_greek_language_short_health(self):

self.assertEqual(truncate("υγειά"), "υγειά")

def test_maths_short(self):

self.assertEqual(truncate("a=πr²"), "a=πr²")

def test_maths_long(self):

self.assertEqual(truncate("∅⊊ℕ⊊ℤ⊊ℚ⊊ℝ⊊ℂ"), "∅⊊ℕ⊊ℤ")

def test_english_and_emoji_short(self):

self.assertEqual(truncate("Fly 🛫"), "Fly 🛫")

def test_emoji_short(self):

self.assertEqual(truncate("💇"), "💇")

def test_emoji_long(self):

self.assertEqual(truncate("❄🌡🤧🤒🏥🕰😀"), "❄🌡🤧🤒🏥")

def test_royal_flush(self):

self.assertEqual(truncate("🃎🂸🃅🃋🃍🃁🃊"), "🃎🂸🃅🃋🃍")