chore: move this doc file, this is not a tuto.

docs/user/tutorial/NUMPY_SUPPORT.md

@@ -1,133 +0,0 @@
-# Numpy Support
-
-In this section, we list the operations which are supported currently in the **Concrete Framework**. Please have a look to numpy [documentation](https://numpy.org/doc/stable/user/index.html) to know what these operations are about.
-
-## Unary operations
-
-<!--- gen_supported_ufuncs.py: inject supported operations [BEGIN] -->
-<!--- do not edit, auto generated part by `python3 gen_supported_ufuncs.py` in docker -->
-List of supported unary functions:
-- absolute
-- arccos
-- arccosh
-- arcsin
-- arcsinh
-- arctan
-- arctanh
-- cbrt
-- ceil
-- cos
-- cosh
-- deg2rad
-- degrees
-- exp
-- exp2
-- expm1
-- fabs
-- floor
-- isfinite
-- isinf
-- isnan
-- log
-- log10
-- log1p
-- log2
-- logical_not
-- negative
-- positive
-- rad2deg
-- radians
-- reciprocal
-- rint
-- sign
-- signbit
-- sin
-- sinh
-- spacing
-- sqrt
-- square
-- tan
-- tanh
-- trunc
-
-## Binary operations
-
-List of supported binary functions if one of the two operators is a constant scalar:
-- arctan2
-- bitwise_and
-- bitwise_or
-- bitwise_xor
-- copysign
-- equal
-- float_power
-- floor_divide
-- fmax
-- fmin
-- fmod
-- gcd
-- greater
-- greater_equal
-- heaviside
-- hypot
-- lcm
-- ldexp
-- left_shift
-- less
-- less_equal
-- logaddexp
-- logaddexp2
-- logical_and
-- logical_or
-- logical_xor
-- maximum
-- minimum
-- nextafter
-- not_equal
-- power
-- remainder
-- right_shift
-- true_divide
-<!--- gen_supported_ufuncs.py: inject supported operations [END] -->
-
-## Indexing
-
-Indexing is described in [this section](../tutorial/INDEXING.md).
-
-
-## Other machine-learning-related operators
-
-We support (sometimes, with limits) some other operators:
-
-- dot: one of the operators must be non-encrypted
-- clip: the minimum and maximum values must be constant
-- transpose
-- ravel
-- reshape: the shapes must be constant
-- flatten
-- matmul: one of the two matrices must be non-encrypted. Only 2D matrix multiplication is supported for now
-
-## Operators which are not numpy-restricted
-
-The framework also gives support for:
-
-- shifts, i.e., `x op y` for `op` in `[<<, >>, ]`: if one of `x` or `y` is a constant
-- boolean test operations, i.e., `x op y` for `op` in `[<, <=, ==, !=, >, >=]`: if one of `x` or `y` is a constant
-- boolean operators, i.e., `x op y` for `op` in `[&, ^, |]`: if one of `x` or `y` is a constant
-- powers, i.e., `x ** y`: if one of `x` or `y` is a constant
-- modulo, i.e., `x % y`: if one of `x` or `y` is a constant
-- invert, i.e., `~x`
-- true div, i.e., `x / y`: if one of `x` or `y` is a constant
-- floor div, i.e., `x // y`: if one of `x` or `y` is a constant
-
-There is support for astype as well, e.g. `x.astype(numpy.int32)`. This allows to control which data type to use for computations. In the context of FHE going back to integers may allow to fuse floating point operations together, see [this tutorial](./WORKING_WITH_FLOATING_POINTS.md) to see how to work with floating point values.
-
-```{warning}
-FIXME(Umut): speak about `shape`
-```
-
-
-
-
-
-
-

docs/user/tutorial/WORKING_WITH_FLOATING_POINTS.md

@@ -26,7 +26,7 @@ assert circuit.run(60) == f(60)
 print("All good!")
 ```
 
-One can look to [numpy supported functions](NUMPY_SUPPORT.md) for information about possible float operations.
+One can look to [numpy supported functions](../howto/NUMPY_SUPPORT.md) for information about possible float operations.
 
 
 ## Limitations