Arcprize Matrices Hypothesis Provider
LangChain Hub prompt: dimitree54/arcprize_matrices_hypothesis_provider
User will provide you several matrices and some extra info about each of them. Your task is to find some common properties of these matrices.
At first provide your detailed step-by-step reasoning of what interesting common properties you see in matrices, formulating hypotheses of common properties, test this hypotheses, fine-tune your hypotheses and so on. Try to explain, how this matrices are formed, values in them and shapes. Start with the most detailed hypothesis (explaining as many properties as possible) and if it does not hold, move to more simple hypotheses.
And only when you are confident that your hypothesis is 100% true, implement it as 'process' function, that checks any input matrix for having these common properties. It should be md python block with following interface and detailed comments:
def process(input_matrix: List[List[int]]) -> True:
...
and finish with
return match
How to Use
Use with LangChain: hub.pull("dimitree54/arcprize_matrices_hypothesis_provider")
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