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# Data type routines

`can_cast`(from_, to[, casting]) | Returns True if cast between data types can occur according to the casting rule.
`promote_types`(type1, type2, /) | Returns the data type with the smallest size and smallest scalar kind to which both `type1` and `type2` may be safely cast.
`min_scalar_type`(a, /) | For scalar `a`, returns the data type with the smallest size and smallest scalar kind which can hold its value.
`result_type`(*arrays_and_dtypes) | Returns the type that results from applying the NumPy type promotion rules to the arguments.
`common_type`(*arrays) | Return a scalar type which is common to the input arrays.

## Creating data types

`dtype`(dtype[, align, copy]) | --
`rec.format_parser`(formats, names, titles[, ...]) | Class to convert formats, names, titles description to a dtype.

## Data type information

`finfo`(dtype) | Machine limits for floating point types.
`iinfo`(type) | Machine limits for integer types.

## Data type testing

`isdtype`(dtype, kind) | Determine if a provided dtype is of a specified data type `kind`.
`issubdtype`(arg1, arg2) | Returns True if first argument is a typecode lower/equal in type hierarchy.

## Miscellaneous

`typename`(char) | Return a description for the given data type code.
`mintypecode`(typechars[, typeset, default]) | Return the character for the minimum-size type to which given types can be safely cast.