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Cleaned up string compress notebook. Refactored duplicate algorithm description.
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"cell_type": "markdown",
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {},
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"source": [
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"source": [
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"## Problem: Compress a String Such that 'AAABCCDDDD' Becomes 'A3B1C2D4'. Only Compress if it Saves Space.\n",
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"## Problem: Compress a string such that 'AAABCCDDDD' becomes 'A3B1C2D4'\n",
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"\n",
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"\n",
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"* [Clarifying Questions](#Clarifying-Questions)\n",
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"* [Clarifying Questions](#Clarifying-Questions)\n",
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"* [Test Cases](#Test-Cases)\n",
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"* [Test Cases](#Test-Cases)\n",
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"* Can you use additional data structures? \n",
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"* Can you use additional data structures? \n",
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" * Yes\n",
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" * Yes\n",
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"* Is this case sensitive?\n",
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"* Is this case sensitive?\n",
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" * Yes"
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" * Yes\n",
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"* Do you compress even if it doesn't save space?\n",
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" * No"
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]
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]
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},
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},
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{
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{
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"\n",
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"\n",
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"![alt text](https://raw.githubusercontent.com/donnemartin/algorithms-data-structures/master/images/compress_string.jpg)\n",
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"![alt text](https://raw.githubusercontent.com/donnemartin/algorithms-data-structures/master/images/compress_string.jpg)\n",
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"\n",
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"\n",
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"Since Python strings are immutable, we'll use a list to exercise array manipulation. Note using a list vs a bytearray will will result in additional space to create the list and to convert the list to a string.\n",
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"Since Python strings are immutable, we'll use a list of characters to exercise string manipulation. Note using a list vs a bytearray will will result in additional space to create the list and to convert the list to a string.\n",
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"\n",
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"\n",
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"* If string is empty return string\n",
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"* If string is empty return string\n",
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"* count = 0\n",
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"* count = 0\n",
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@ -78,7 +80,7 @@
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"\n",
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"\n",
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"Complexity:\n",
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"Complexity:\n",
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"* Time: O(n)\n",
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"* Time: O(n)\n",
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"* Space: O(m) where m is the size of the compressed bytearray"
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"* Space: O(2m) where m is the size of the compressed list and the resulting string copied from the list"
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]
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]
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},
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},
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{
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{
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@ -145,35 +147,9 @@
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"\n",
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"\n",
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"![alt text](https://raw.githubusercontent.com/donnemartin/algorithms-data-structures/master/images/compress_string.jpg)\n",
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"![alt text](https://raw.githubusercontent.com/donnemartin/algorithms-data-structures/master/images/compress_string.jpg)\n",
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"\n",
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"\n",
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"Since Python strings are immutable, we'll use a bytearray to exercise array manipulation. We could use a list of characters to create the compressed string then convert it to a string in the end, but this will result in additional space.\n",
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"Since Python strings are immutable, we'll use a bytearray to exercise array manipulation. As seen above, we could use a list of characters to create the compressed string then convert it to a string in the end, but this will result in additional space.\n",
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"\n",
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"\n",
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"* If bytearray is empty return bytearray\n",
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"The algorithm is the same, except we will need to work with the bytearray's character codes instead of the characters as we did above when we implemented this solution with a list.\n",
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"* count = 0\n",
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"* size = 0\n",
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"* last_char_code = first char code in bytearray\n",
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"* For each char code in bytearray\n",
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" * If char code == last_char_code\n",
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" count++\n",
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" * Else\n",
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" size += 2\n",
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" count++\n",
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" last_char_code = char code\n",
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"* size += 2\n",
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"* If the compressed bytearray size is >= bytearray size, return string\n",
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"* Create compressed_bytearray\n",
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"* pos = 0\n",
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"* For each char code in bytearray\n",
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" * If char code == last_char_code\n",
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" count++\n",
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" * Else\n",
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" * compressed_bytearray[pos] = last_char_code\n",
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" * compressed_bytearray[pos + 1] = count\n",
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" * pos += 2\n",
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" * count = 1\n",
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" * last_char_code = char code\n",
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" * compressed_bytearray[pos] = last_char_code\n",
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" * compressed_bytearray[pos + 1] = count\n",
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"* return compressed_bytearray\n",
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"\n",
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"\n",
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"Complexity:\n",
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"Complexity:\n",
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"* Time: O(n)\n",
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"* Time: O(n)\n",
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