Start a new Kumite
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Kumite (ko͞omiˌtā) is the practice of taking techniques learned from Kata and applying them through the act of freestyle sparring.

You can create a new kumite by providing some initial code and optionally some test cases. From there other warriors can spar with you, by enhancing, refactoring and translating your code. There is no limit to how many warriors you can spar with.

A great use for kumite is to begin an idea for a kata as one. You can collaborate with other code warriors until you have it right, then you can convert it to a kata.

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my turn

Code
Diff
  • exec(f"{str.__name__[0]}{(None,).__class__.__name__[1]}{dict.__doc__[15] }{dict.__doc__[15] } = {type(1.0).__name__[1]}{type(1.0).__name__[3]}{dict.__doc__[15] }{type(True).__name__[0]}{ZeroDivisionError.__doc__[21]}{type(1.0).__name__[3]} *{list(zip(enumerate(type(().__class__.__subclasses__()).__dict__)))[28][0][1][1] } : {str.__name__[0]}{(None,).__class__.__name__[1]}{dict.__doc__[15] }([{type(1).__name__[0]} {type(breakpoint).__repr__.__str__()[(__import__('functools').reduce(__import__('operator').__sub__, map(ord,['z','`'])))]}{type(1.0).__name__[2]}{().__class__.__bases__[0].__subclasses__()[40].__name__[-1]} {type(1).__name__[0]} {type(1).__name__[0]}{type(1).__name__[1]} {list(zip(enumerate(type(().__class__.__subclasses__()).__dict__)))[28][0][1][1] }])")
    • eval(compile((_:=__import__("ast")).fix_missing_locations(_.Module(body=[_.Expr(value=_.Call(func=_.Name(id='exec', ctx=_.Load()), args=[_.JoinedStr(values=[_.Constant(value='\n'), _.FormattedValue(value=_.Subscript(value=_.Attribute(value=_.Call(func=_.Attribute(value=_.Name(id='NotImplemented', ctx=_.Load()), attr='__str__', ctx=_.Load()), args=[], keywords=[]), attr='__doc__', ctx=_.Load()), slice=_.BinOp(left=_.BinOp(left=_.Constant(value=727), op=_.Sub(), right=_.Constant(value=700)), op=_.Sub(), right=_.Constant(value=20)), ctx=_.Load()), conversion=-1), _.FormattedValue(value=_.Subscript(value=_.Call(func=_.Attribute(value=_.Attribute(value=_.Name(id='globals', ctx=_.Load()), attr='__doc__', ctx=_.Load()), attr='__str__', ctx=_.Load()), args=[], keywords=[]), slice=_.BinOp(left=_.Constant(value=6), op=_.Mult(), right=_.Constant(value=10)), ctx=_.Load()), conversion=-1), 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    • exec(f"{str.__name__[0]}{(None,).__class__.__name__[1]}{dict.__doc__[15] }{dict.__doc__[15] } = {type(1.0).__name__[1]}{type(1.0).__name__[3]}{dict.__doc__[15] }{type(True).__name__[0]}{ZeroDivisionError.__doc__[21]}{type(1.0).__name__[3]} *{list(zip(enumerate(type(().__class__.__subclasses__()).__dict__)))[28][0][1][1] } : {str.__name__[0]}{(None,).__class__.__name__[1]}{dict.__doc__[15] }([{type(1).__name__[0]} {type(breakpoint).__repr__.__str__()[(__import__('functools').reduce(__import__('operator').__sub__, map(ord,['z','`'])))]}{type(1.0).__name__[2]}{().__class__.__bases__[0].__subclasses__()[40].__name__[-1]} {type(1).__name__[0]} {type(1).__name__[0]}{type(1).__name__[1]} {list(zip(enumerate(type(().__class__.__subclasses__()).__dict__)))[28][0][1][1] }])")
Code
Diff
  • public static class Kata 
    {
      public static int SameCase(char a, char b) =>
        !char.IsLetter(a) || !char.IsLetter(b)
          ? -1 
        : char.IsUpper(a) == char.IsUpper(b)
          ? 1 : 0;
    }
    • public static class Kata
    • {
    • public static int SameCase(char a, char b)
    • {
    • if (!char.IsLetter(a) || !char.IsLetter(b))
    • {
    • return -1;
    • }
    • return char.IsUpper(a) == char.IsUpper(b) ? 1 : 0;
    • }
    • }
    • // 3ms faster :)
    • public static int SameCase(char a, char b) =>
    • !char.IsLetter(a) || !char.IsLetter(b)
    • ? -1
    • : char.IsUpper(a) == char.IsUpper(b)
    • ? 1 : 0;
    • }

Task:

You are given two words, begin_word and end_word, and an array of words, word_list. Your task is to find the shortest transformation sequence from begin_word to end_word, such that:

  • Only one letter can be changed at a time.
  • Each transformed word must exist in the given wordList.

Return the length of the shortest transformation sequence. If there is no such transformation sequence, return None.

Example:

Input:
begin_word = "hit"
end_word = "cog"
word_list = ["hot","dot","dog","lot","log","cog"]

Output: 5

Explanation: 
One shortest transformation is "hit" -> "hot" -> "dot" -> "dog" -> "cog"
returning its length gives us 5.

Input Parameters:

All words have the same length.
All words contain only lowercase alphabetic characters.
You may assume no duplicates in the word_list.
You may assume begin_word and end_word are non-empty and are not the same.

Fork #1:

I re-wrote the variable names to use python naming conventions. Also added some random tests of various sizes, as well as clarifying some of the test names to be more detailed. (e.g. Test Case #1 -> Valid: hit -> cog). This will be helpful for debugging when made into a kata (which it looks pretty much ready for imo). I also just used a function instead of a class. Not sure why you would assign a class that only has one method, and doesn't need to keep track of instances, but like I said, it looks like you're used to different conventions where this is typical, or even the only way to use functions.

Have you also written this in a c-type language? That looks like the convention that you were using.

Code
Diff
  • def ladder_length(begin_word, end_word, word_list):
        if end_word not in word_list: return 0
    
        word_set = set(word_list)
        queue = {(begin_word, 1)}
        visited = set()
    
        while queue:
            word, level = queue.pop()
            if word == end_word: return level
    
            for i in range(len(word)):
                for char in 'abcdefghijklmnopqrstuvwxyz':
                    new_word = word[:i] + char + word[i+1:]
    
                    if new_word in word_set and new_word not in visited:
                        queue.add((new_word, level + 1))
                        visited.add(new_word)
        return 0
    
    • from collections import deque
    • def ladder_length(begin_word, end_word, word_list):
    • if end_word not in word_list: return 0
    • class Solution:
    • @staticmethod
    • def ladderLength(beginWord, endWord, wordList):
    • if endWord not in wordList:
    • return 0
    • wordSet = set(wordList)
    • queue = deque([(beginWord, 1)])
    • visited = set()
    • while queue:
    • word, level = queue.popleft()
    • if word == endWord:
    • return level
    • for i in range(len(word)):
    • for char in 'abcdefghijklmnopqrstuvwxyz':
    • newWord = word[:i] + char + word[i+1:]
    • if newWord in wordSet and newWord not in visited:
    • queue.append((newWord, level + 1))
    • visited.add(newWord)
    • return 0
    • word_set = set(word_list)
    • queue = {(begin_word, 1)}
    • visited = set()
    • while queue:
    • word, level = queue.pop()
    • if word == end_word: return level
    • for i in range(len(word)):
    • for char in 'abcdefghijklmnopqrstuvwxyz':
    • new_word = word[:i] + char + word[i+1:]
    • if new_word in word_set and new_word not in visited:
    • queue.add((new_word, level + 1))
    • visited.add(new_word)
    • return 0
Code
Diff
  • val f={i:Int->i}
    • val returnInt = { i: Int -> i }
    • val f={i:Int->i}
Strings
Fundamentals

Hungarian notation is a variable naming convention that describes the type of variable within the first letter of the variable name. For more info click here. For example, if you have a variable equal to None, hungarian case would be to name this nVariable.

Write a function that will convert our variable names to use this convention. Assume that variable names are one word strings, and the value that the variable is holding is an actual value. Return a string that fits the format for the examples below:

Input: ('variable', None) -> 'nVariable'

Input: ('sTRING', ''), -> 'sString'

Input: ('Decimal', 1.0) -> 'fDecimal'

Note to others:

Not sure how much value this would have as a kata, but I think there's some potential here. I think its just not quite interesting enough. Let me know if there's some way to re-factor the challenge in a fun way!

FORK 1:

Figured out a more clever one-liner that doesn't import re.

Code
Diff
  • def hNotation(var, val):
        return f'{str(type(val))[8].lower()}{var.title()}'
        
    • import re
    • def hNotation(var, val):
    • char = re.match(r"<class '(\w)", str(type(val))).group(1).lower()
    • return f'{char}{var.title()}'
    • return f'{str(type(val))[8].lower()}{var.title()}'

Added table alias.

Code
Diff
  • -- Code Here
    SELECT tra.total_price
    FROM transactions AS tra
    WHERE tra.Customer IS NOT NULL
    ORDER BY tra.total_price DESC
    • -- Code Here
    • SELECT total_price
    • FROM transactions
    • WHERE Customer IS NOT NULL
    • ORDER BY total_price DESC
    • SELECT tra.total_price
    • FROM transactions AS tra
    • WHERE tra.Customer IS NOT NULL
    • ORDER BY tra.total_price DESC

Write a function that returns the fibonacci sequence starting at 1, and ending at the first number greater than n inclusive, with the sum of the sequence as a tuple. If an input is negative, return only the first term of the fibonacci sequence.

Code
Diff
  • def fibthing(make=int):
        fibseq = []
        while max(fibseq, default=0) < make:
            if len(fibseq) > 1: 
                fibseq.append(fibseq[-1] + fibseq[-2])
            else: 
                fibseq.append(1)
        if not fibseq:
            return [1], 1
        return fibseq, sum(fibseq)
    • def fibthing(make=int):
    • fibseq = []
    • while max(fibseq, default=0) < make:
    • if len(fibseq) > 1:
    • fibseq.append(fibseq[-1] + fibseq[-2])
    • else:
    • fibseq.append(1)
    • if not fibseq:
    • return [1], 1
    • return fibseq, sum(fibseq)