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"source": [
"<small><i>This notebook was prepared by [Donne Martin](http://donnemartin.com). Source and license info is on [GitHub](https://bit.ly/code-notes).</i></small>"
]
},
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{
"cell_type": "markdown",
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"## Problem: Compress a string such that 'AAABCCDDDD' becomes 'A3B1C2D4'\n",
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"\n",
"* [Clarifying Questions](#Clarifying-Questions)\n",
"* [Test Cases](#Test-Cases)\n",
"* [Algorithm: List](#Algorithm:-List)\n",
"* [Code: List](#Code:-List)\n",
"* [Algorithm: Byte Array](#Algorithm:-Byte-Array)\n",
"* [Code: Byte array](#Code:-Byte-Array)"
]
},
{
"cell_type": "markdown",
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"source": [
"## Clarifying Questions\n",
"\n",
"* Is the string ASCII (extended)? Or Unicode?\n",
" * ASCII extended, which is 256 characters\n",
"* Can you use additional data structures? \n",
" * Yes\n",
"* Is this case sensitive?\n",
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" * Yes\n",
"* Do you compress even if it doesn't save space?\n",
" * No"
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]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test Cases\n",
"\n",
"* NULL\n",
"* '' -> ''\n",
"* 'ABC' -> 'ABC'\n",
"* 'AAABCCDDDD' -> 'A3B1C2D4'"
]
},
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{
"cell_type": "code",
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"from nose.tools import assert_equal\n",
"\n",
"class Test(object):\n",
" def test_compress(self, func):\n",
" assert_equal(func(None), None)\n",
" assert_equal(func(''), '')\n",
" assert_equal(func('ABC'), 'ABC')\n",
" assert_equal(func('AAABCCDDDD'), 'A3B1C2D4')\n",
"\n",
"def run_tests(func):\n",
" test = Test()\n",
" test.test_compress(func)"
]
},
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"cell_type": "markdown",
"metadata": {},
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"## Algorithm: List\n",
"\n",
"![alt text](https://raw.githubusercontent.com/donnemartin/algorithms-data-structures/master/images/compress_string.jpg)\n",
"\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",
"* If string is empty return string\n",
"* count = 0\n",
"* size = 0\n",
"* last_char = first char in string\n",
"* For each char in string\n",
" * If char == last_char\n",
" count++\n",
" * Else\n",
" size += 2\n",
" count++\n",
" last_char = char\n",
"* size += 2\n",
"* If the compressed string size is >= string size, return string\n",
"* Create compressed_string\n",
"* For each char in string\n",
" * If char == last_char\n",
" count++\n",
" * Else\n",
" * Append last_char to compressed_string\n",
" * append count to compressed_string\n",
" * count = 1\n",
" * last_char = char\n",
" * Append last_char to compressed_string\n",
" * append count to compressed_string\n",
"* return compressed_string\n",
"\n",
"Complexity:\n",
"* Time: O(n)\n",
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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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"cell_type": "markdown",
"metadata": {},
"source": [
"## Code: List"
]
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{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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"outputs": [],
"source": [
"def compress_string(string):\n",
" if string is None or len(string) == 0:\n",
" return string\n",
" size = 0\n",
" count = 0\n",
" last_char = string[0]\n",
" for char in string:\n",
" if char == last_char:\n",
" count += 1\n",
" else:\n",
" size += 2\n",
" count = 1\n",
" last_char = char\n",
" size += 2\n",
" if size >= len(string):\n",
" return string\n",
" compressed_string = list()\n",
" count = 0\n",
" last_char = string[0]\n",
" for char in string:\n",
" if char == last_char:\n",
" count += 1\n",
" else:\n",
" compressed_string.append(last_char)\n",
" compressed_string.append(str(count))\n",
" count = 1\n",
" last_char = char\n",
" compressed_string.append(last_char)\n",
" compressed_string.append(str(count))\n",
" return \"\".join(compressed_string)\n",
"\n",
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"run_tests(compress_string)"
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]
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"cell_type": "markdown",
"metadata": {},
"source": [
"## Algorithm: Byte Array\n",
"\n",
"![alt text](https://raw.githubusercontent.com/donnemartin/algorithms-data-structures/master/images/compress_string.jpg)\n",
"\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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"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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"\n",
"Complexity:\n",
"* Time: O(n)\n",
"* Space: O(m) where m is the size of the compressed bytearray"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Code: Byte Array"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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"outputs": [],
"source": [
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"def compress_string_alt(string):\n",
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" if string is None or len(string) == 0:\n",
" return string\n",
" size = 0\n",
" count = 0\n",
" last_char_code = string[0]\n",
" for char_code in string:\n",
" if char_code == last_char_code:\n",
" count += 1\n",
" else:\n",
" size += 2\n",
" count = 1\n",
" last_char_code = char_code\n",
" size += 2\n",
" if size >= len(string):\n",
" return string\n",
" compressed_string = bytearray(size)\n",
" pos = 0\n",
" count = 0\n",
" last_char_code = string[0]\n",
" for char_code in string:\n",
" if char_code == last_char_code:\n",
" count += 1\n",
" else:\n",
" compressed_string[pos] = last_char_code\n",
" compressed_string[pos + 1] = ord(str(count))\n",
" pos += 2\n",
" count = 1\n",
" last_char_code = char_code\n",
" compressed_string[pos] = last_char_code\n",
" compressed_string[pos + 1] = ord(str(count))\n",
" return compressed_string\n",
"\n",
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"run_tests(compress_string_alt)"
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