I have a csv file consisting of 1000 rows, each row is a draw.  Each row is a sequence consisting of 20 whole numbers between 1 and 90. An example of a sequence is as follows 12,15,17,19,22,27,30,31,36,37,40,51,53,55,56,60,61,74,82,84. Analyzing the file, I verified that by grouping the numbers in the draw according to the tens, there are patterns, i.e., combinations of numbers that if rpresent in one draw, make it possible to predict even approximately the output of a number within three successive draws. An example of a pattern that can be detected in a row is the following: 32,34,35,36 i.e., four numbers of the same ten consecutive except for one number in fact 34,35,36 are consecutive but the number 32 although part of the ten of thirty has a difference of two from the next number. In that case the number prediction for the next extractions is 33 that is the number between 32 and 34 and which is missing in the pattern.
is it possible to create an example in python that by reading the csv file, is able to detect for each row if there is a pattern and then print on the console screen the pattern and the number prediction, also it should indicate if then prediction i.e. the number has then arisen in the next extractions and within how many extractions it has arisen since the pattern was detected. Your response should contain 100+ words.
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