- class Wrap -> Params
- class Wrapper -> ParamsType
- file wrapper.py -> params_type.py
- file test_wrapper.py -> test_params_type.py

Protect Wrap private fields and rewrite Wrap __repr__().

Optimize Wrap.__hash__.

Replace locals() by manual dicts to prevent any missing variables
in formatted strings in `wrapper.py` and `test_wrapper.py`.

Update default get_op_params() to take account of it.

so that it looks for an implemented version of `get_params()`,
and nothing else.

Update Wrapper doc.

cleanup() is always called when wrapper is destroyed.

Update computation of C code cache version for Wrapper.
I think it should depend on C code cache version of
wrapped types.

Now, if `params_type` is a Wrapper, it will generate a default macro
`APPLY_SPECIFIC_WRAPPER`, and a macro `DTYPE_PARAM_key` for every key
in the Wrapper for which associated type implements method `c_element_type()`.

Implement this new method into:
 - Scalar
 - TensorType
 - GpuArrayType

Simplify values_eq and values_eq_approx.
Then, update test for values_eq_approx.

Fix some exception type.

Remove useless comment.

Fix test (int32 vs int64 error).

Fix Travis FAST_COMPILE error
(add `perform()` implementation to COp test)

Rewrite `Wrap` so that it depends on a Wrapper.
Simplify code.

This list tries to be as exhaustive as possible, and
contains at least all basic keywords.

This function expects policy to be lists (or tuples) of functions,
but individual functions are sometimes passed directly.

- test `!=` operator on Wrap and Wrapper
- remove useless condition in `Wrap.__eq__`.

Modify `Wrapper.value_eq` and `Wrapper.value_eq_approx`.

Fix typos, rename variables, clarify doc strings and comments.

Let exceptions raise freely (for better debugging).

`op.get_params()` exists. Now it checks if `ops.params_type` exists.

Add a default implementation of `Op.get_params()` which tris to detect
and filter params from the op if `op.params_type` is defined with a
Wrapper, else it will raise a `MethodNotDefined` exception.

Rewrite test_wrapper. The tested op now uses 3 theano types: TensorType,
Scalar and Generic. Test methods are also renamed and rewritten to be
more readable.

Simplify `Wrap.__hash__`, as `Wrap` is now considered as internal. The
ndarrays are now hashed first with `theano.tensor.utils.hash_from_ndarray`.

Fix Python3 compat.
Add comment to explain the code.
Update unit tests.

Add new tests.
Fix typos.

Clean up

Add conv2d transpose2doc

#5742 Removed theano/sandbox/linalg/ops.py and theano/sandbox/linalg/tests/test_linalg.py from flake8 whitelist

Open tempfile in mode 'w' to prevent TypeError

.. autofunction:: theano.tensor.nnet.conv2d_transpose added in order to generate docuentation for conv2d transpose.