Refactor tensor_map_m to improve nomenclature & move phase_space_bin_t to cloud-microphysics#192
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The tensor_range_t derived type stores components minima_ & maxima_ for us in in type-bound procedures that map from the training-data tensor-component ranges to the unit interval [0,1] according to x_mapped = (x_unmapped - x_min)/(x_max - x_min) The case in which x_mapped = x_unmapped can be recovered by setting x_min = 0 and x_max = 1. In such a case, however, [x_min,x_max] no longer corresponds to the tensor-component range. This commit therefore replaces "tensor_range" with "tensor_map" throughout this repository.
Consistent with the previous commits that renamed the derived type tensor_range_t to tensor_map_t and renamed one of the type's components from mimima_ to intercept_, this commit renames another component, maxima_, to slope_ map_from_training_range employs the formula x_unmapped = intercept + slope*x_mapped this matches the previous formula under the definition slope = maxima - minima and where x_mapped lies on the closed interval [0,1]. The commit also adjusts map_to_training_range to apply the inverse function. This commit also finishes editing the JSON file format to use the new nomenclature, in which a tensor_map object has intercept and slope components rather than minima and maxima components.
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