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authorSebastian Berg <sebastian@sipsolutions.net>2013-03-01 20:39:23 +0100
committerSebastian Berg <sebastian@sipsolutions.net>2013-03-01 23:07:47 +0100
commit398b0765c21f445db1af9e48735fe2a46f7d1efb (patch)
treefb8fbab12c15a42f478797b3970cc7b2a6edddb2
parentd12dad4d42a4684d1e0a40c0105772ebab92d6bc (diff)
downloadnumpy-398b0765c21f445db1af9e48735fe2a46f7d1efb.tar.gz
DOC: Remove documentation of non-existing advanced iter NA flags.
-rw-r--r--doc/source/reference/c-api.iterator.rst29
1 files changed, 0 insertions, 29 deletions
diff --git a/doc/source/reference/c-api.iterator.rst b/doc/source/reference/c-api.iterator.rst
index 0915f765e..7e2900bcc 100644
--- a/doc/source/reference/c-api.iterator.rst
+++ b/doc/source/reference/c-api.iterator.rst
@@ -629,35 +629,6 @@ Construction and Destruction
returns true from the corresponding element in the ARRAYMASK
operand.
- .. cvar:: NPY_ITER_USE_MASKNA
-
- .. versionadded:: 1.7
-
- Adds a new operand to the end of the operand list which
- iterates over the mask of this operand. If this operand has
- no mask and is read-only, it broadcasts a constant
- one-valued mask to indicate every value is valid. If this
- operand has no mask and is writeable, an error is raised.
-
- Each operand which has this flag applied to it causes
- an additional operand to be tacked on the end of the operand
- list, in an order matching that of the operand array.
- For example, if there are four operands, and operands with index
- one and three have the flag :cdata:`NPY_ITER_USE_MASKNA`
- specified, there will be six operands total, and they will
- look like [op0, op1, op2, op3, op1_mask, op3_mask].
-
- .. cvar:: NPY_ITER_IGNORE_MASKNA
-
- .. versionadded:: 1.7
-
- Under some circumstances, code doing an iteration will
- have already called :cfunc:`PyArray_ContainsNA` on an
- operand which has a mask, and seen that its return value
- was false. When this occurs, it is safe to do the iteration
- without simultaneously iterating over the mask, and this
- flag allows that to be done.
-
.. cfunction:: NpyIter* NpyIter_AdvancedNew(npy_intp nop, PyArrayObject** op, npy_uint32 flags, NPY_ORDER order, NPY_CASTING casting, npy_uint32* op_flags, PyArray_Descr** op_dtypes, int oa_ndim, int** op_axes, npy_intp* itershape, npy_intp buffersize)
Extends :cfunc:`NpyIter_MultiNew` with several advanced options providing