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		<title>Getting a first look at c conversion of the python program today.</title>
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		<description>hypersoniq's Blog: Getting a first look at c conversion of the python program today.</description>
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			<title>Comment #1</title>
			<link>/blogentry/184756#c262049</link>
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			<pubDate>Sat, 04 May 2024 19:29:21 GMT</pubDate>
			<dc:creator>hypersoniq</dc:creator>
			<description><![CDATA[<p>Actually this was more of a recap from what transpired on the first... program already ran for the pick 2 eve and the results were exactly as expected... kind of disappointing...</p>]]></description>
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			<title>Original Blog Entry: Getting a first look at c conversion of the python program today.</title>
			<link>/blogentry/184756</link>
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			<pubDate>Fri, 03 May 2024 14:28:40 GMT</pubDate>
			<dc:creator>hypersoniq</dc:creator>
			<description><![CDATA[<p>Got ahead on homework for the class, I am able to carve out a few hours before work to start setting up for the conversion to c.<br /><br />I will need to start by finding the import path for the Pandas c headers, which I found in a local folder. Already have an idea of the csv read mechanism, have to figure out csv write in c, also calculating the malloc() c function to allocate just the right amount of memory.<br /><br />Have to explicitly declare the variable types, nothing requiring more than a short INT. I would go character but the appended match count can be as high as 1,800 (or more)<br /><br />Whatever garbage collection I need to implement and whatever pointers I need to iterate through each column will be focal points today.<br /><br />Compiling and clearing errors will probably then be the workflow until a successful run of the test program happens. Only then can I convert the part of the program that counts to 100 and modify it to count to 10 billion, and also remove the timers. The outputs will be active as well. I disabled the csv write for the last timer test but re enabled them to make sure that the tests are complete.<br /><br />This is one of those times where I am glad I first did a flow chart so the logic can be converted into another language easier.<br /><br />Not going to be a quick journey like developing in python, but I am ready for that.... &#x5b;&#xa0;<a href="/blogentry/184756">More</a>&#xa0;&#x5d;</p>]]></description>
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