diff options
author | Campbell Barton <ideasman42@gmail.com> | 2019-04-17 07:17:24 +0300 |
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committer | Campbell Barton <ideasman42@gmail.com> | 2019-04-17 07:21:24 +0300 |
commit | e12c08e8d170b7ca40f204a5b0423c23a9fbc2c1 (patch) | |
tree | 8cf3453d12edb177a218ef8009357518ec6cab6a /source/blender/freestyle/intern/python/BPy_Operators.cpp | |
parent | b3dabc200a4b0399ec6b81f2ff2730d07b44fcaa (diff) |
ClangFormat: apply to source, most of intern
Apply clang format as proposed in T53211.
For details on usage and instructions for migrating branches
without conflicts, see:
https://wiki.blender.org/wiki/Tools/ClangFormat
Diffstat (limited to 'source/blender/freestyle/intern/python/BPy_Operators.cpp')
-rw-r--r-- | source/blender/freestyle/intern/python/BPy_Operators.cpp | 1347 |
1 files changed, 720 insertions, 627 deletions
diff --git a/source/blender/freestyle/intern/python/BPy_Operators.cpp b/source/blender/freestyle/intern/python/BPy_Operators.cpp index 6bbdcd72052..e2afda63e14 100644 --- a/source/blender/freestyle/intern/python/BPy_Operators.cpp +++ b/source/blender/freestyle/intern/python/BPy_Operators.cpp @@ -41,724 +41,817 @@ extern "C" { //-------------------MODULE INITIALIZATION-------------------------------- int Operators_Init(PyObject *module) { - if (module == NULL) - return -1; + if (module == NULL) + return -1; - if (PyType_Ready(&Operators_Type) < 0) - return -1; - Py_INCREF(&Operators_Type); - PyModule_AddObject(module, "Operators", (PyObject *)&Operators_Type); + if (PyType_Ready(&Operators_Type) < 0) + return -1; + Py_INCREF(&Operators_Type); + PyModule_AddObject(module, "Operators", (PyObject *)&Operators_Type); - return 0; + return 0; } //------------------------INSTANCE METHODS ---------------------------------- PyDoc_STRVAR(Operators_doc, -"Class defining the operators used in a style module. There are five\n" -"types of operators: Selection, chaining, splitting, sorting and\n" -"creation. All these operators are user controlled through functors,\n" -"predicates and shaders that are taken as arguments."); + "Class defining the operators used in a style module. There are five\n" + "types of operators: Selection, chaining, splitting, sorting and\n" + "creation. All these operators are user controlled through functors,\n" + "predicates and shaders that are taken as arguments."); static void Operators_dealloc(BPy_Operators *self) { - Py_TYPE(self)->tp_free((PyObject *)self); + Py_TYPE(self)->tp_free((PyObject *)self); } PyDoc_STRVAR(Operators_select_doc, -".. staticmethod:: select(pred)\n" -"\n" -" Selects the ViewEdges of the ViewMap verifying a specified\n" -" condition.\n" -"\n" -" :arg pred: The predicate expressing this condition.\n" -" :type pred: :class:`UnaryPredicate1D`"); + ".. staticmethod:: select(pred)\n" + "\n" + " Selects the ViewEdges of the ViewMap verifying a specified\n" + " condition.\n" + "\n" + " :arg pred: The predicate expressing this condition.\n" + " :type pred: :class:`UnaryPredicate1D`"); static PyObject *Operators_select(BPy_Operators * /*self*/, PyObject *args, PyObject *kwds) { - static const char *kwlist[] = {"pred", NULL}; - PyObject *obj = 0; - - if (!PyArg_ParseTupleAndKeywords(args, kwds, "O!", (char **)kwlist, &UnaryPredicate1D_Type, &obj)) - return NULL; - if (!((BPy_UnaryPredicate1D *)obj)->up1D) { - PyErr_SetString(PyExc_TypeError, "Operators.select(): 1st argument: invalid UnaryPredicate1D object"); - return NULL; - } - if (Operators::select(*(((BPy_UnaryPredicate1D *)obj)->up1D)) < 0) { - if (!PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "Operators.select() failed"); - return NULL; - } - Py_RETURN_NONE; + static const char *kwlist[] = {"pred", NULL}; + PyObject *obj = 0; + + if (!PyArg_ParseTupleAndKeywords( + args, kwds, "O!", (char **)kwlist, &UnaryPredicate1D_Type, &obj)) + return NULL; + if (!((BPy_UnaryPredicate1D *)obj)->up1D) { + PyErr_SetString(PyExc_TypeError, + "Operators.select(): 1st argument: invalid UnaryPredicate1D object"); + return NULL; + } + if (Operators::select(*(((BPy_UnaryPredicate1D *)obj)->up1D)) < 0) { + if (!PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "Operators.select() failed"); + return NULL; + } + Py_RETURN_NONE; } PyDoc_STRVAR(Operators_chain_doc, -".. staticmethod:: chain(it, pred, modifier)\n" -"\n" -" Builds a set of chains from the current set of ViewEdges. Each\n" -" ViewEdge of the current list starts a new chain. The chaining\n" -" operator then iterates over the ViewEdges of the ViewMap using the\n" -" user specified iterator. This operator only iterates using the\n" -" increment operator and is therefore unidirectional.\n" -"\n" -" :arg it: The iterator on the ViewEdges of the ViewMap. It contains\n" -" the chaining rule.\n" -" :type it: :class:`ViewEdgeIterator`\n" -" :arg pred: The predicate on the ViewEdge that expresses the\n" -" stopping condition.\n" -" :type pred: :class:`UnaryPredicate1D`\n" -" :arg modifier: A function that takes a ViewEdge as argument and\n" -" that is used to modify the processed ViewEdge state (the\n" -" timestamp incrementation is a typical illustration of such a\n" -" modifier).\n" -" :type modifier: :class:`UnaryFunction1DVoid`\n" -"\n" -".. staticmethod:: chain(it, pred)\n" -"\n" -" Builds a set of chains from the current set of ViewEdges. Each\n" -" ViewEdge of the current list starts a new chain. The chaining\n" -" operator then iterates over the ViewEdges of the ViewMap using the\n" -" user specified iterator. This operator only iterates using the\n" -" increment operator and is therefore unidirectional. This chaining\n" -" operator is different from the previous one because it doesn't take\n" -" any modifier as argument. Indeed, the time stamp (insuring that a\n" -" ViewEdge is processed one time) is automatically managed in this\n" -" case.\n" -"\n" -" :arg it: The iterator on the ViewEdges of the ViewMap. It contains\n" -" the chaining rule. \n" -" :type it: :class:`ViewEdgeIterator`\n" -" :arg pred: The predicate on the ViewEdge that expresses the\n" -" stopping condition.\n" -" :type pred: :class:`UnaryPredicate1D`"); + ".. staticmethod:: chain(it, pred, modifier)\n" + "\n" + " Builds a set of chains from the current set of ViewEdges. Each\n" + " ViewEdge of the current list starts a new chain. The chaining\n" + " operator then iterates over the ViewEdges of the ViewMap using the\n" + " user specified iterator. This operator only iterates using the\n" + " increment operator and is therefore unidirectional.\n" + "\n" + " :arg it: The iterator on the ViewEdges of the ViewMap. It contains\n" + " the chaining rule.\n" + " :type it: :class:`ViewEdgeIterator`\n" + " :arg pred: The predicate on the ViewEdge that expresses the\n" + " stopping condition.\n" + " :type pred: :class:`UnaryPredicate1D`\n" + " :arg modifier: A function that takes a ViewEdge as argument and\n" + " that is used to modify the processed ViewEdge state (the\n" + " timestamp incrementation is a typical illustration of such a\n" + " modifier).\n" + " :type modifier: :class:`UnaryFunction1DVoid`\n" + "\n" + ".. staticmethod:: chain(it, pred)\n" + "\n" + " Builds a set of chains from the current set of ViewEdges. Each\n" + " ViewEdge of the current list starts a new chain. The chaining\n" + " operator then iterates over the ViewEdges of the ViewMap using the\n" + " user specified iterator. This operator only iterates using the\n" + " increment operator and is therefore unidirectional. This chaining\n" + " operator is different from the previous one because it doesn't take\n" + " any modifier as argument. Indeed, the time stamp (insuring that a\n" + " ViewEdge is processed one time) is automatically managed in this\n" + " case.\n" + "\n" + " :arg it: The iterator on the ViewEdges of the ViewMap. It contains\n" + " the chaining rule. \n" + " :type it: :class:`ViewEdgeIterator`\n" + " :arg pred: The predicate on the ViewEdge that expresses the\n" + " stopping condition.\n" + " :type pred: :class:`UnaryPredicate1D`"); static PyObject *Operators_chain(BPy_Operators * /*self*/, PyObject *args, PyObject *kwds) { - static const char *kwlist[] = {"it", "pred", "modifier", NULL}; - PyObject *obj1 = 0, *obj2 = 0, *obj3 = 0; - - if (!PyArg_ParseTupleAndKeywords(args, kwds, "O!O!|O!", (char **)kwlist, - &ChainingIterator_Type, &obj1, - &UnaryPredicate1D_Type, &obj2, - &UnaryFunction1DVoid_Type, &obj3)) - { - return NULL; - } - if (!((BPy_ChainingIterator *)obj1)->c_it) { - PyErr_SetString(PyExc_TypeError, "Operators.chain(): 1st argument: invalid ChainingIterator object"); - return NULL; - } - if (!((BPy_UnaryPredicate1D *)obj2)->up1D) { - PyErr_SetString(PyExc_TypeError, "Operators.chain(): 2nd argument: invalid UnaryPredicate1D object"); - return NULL; - } - if (!obj3) { - if (Operators::chain(*(((BPy_ChainingIterator *)obj1)->c_it), - *(((BPy_UnaryPredicate1D *)obj2)->up1D)) < 0) - { - if (!PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "Operators.chain() failed"); - return NULL; - } - } - else { - if (!((BPy_UnaryFunction1DVoid *)obj3)->uf1D_void) { - PyErr_SetString(PyExc_TypeError, "Operators.chain(): 3rd argument: invalid UnaryFunction1DVoid object"); - return NULL; - } - if (Operators::chain(*(((BPy_ChainingIterator *)obj1)->c_it), - *(((BPy_UnaryPredicate1D *)obj2)->up1D), - *(((BPy_UnaryFunction1DVoid *)obj3)->uf1D_void)) < 0) - { - if (!PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "Operators.chain() failed"); - return NULL; - } - } - Py_RETURN_NONE; + static const char *kwlist[] = {"it", "pred", "modifier", NULL}; + PyObject *obj1 = 0, *obj2 = 0, *obj3 = 0; + + if (!PyArg_ParseTupleAndKeywords(args, + kwds, + "O!O!|O!", + (char **)kwlist, + &ChainingIterator_Type, + &obj1, + &UnaryPredicate1D_Type, + &obj2, + &UnaryFunction1DVoid_Type, + &obj3)) { + return NULL; + } + if (!((BPy_ChainingIterator *)obj1)->c_it) { + PyErr_SetString(PyExc_TypeError, + "Operators.chain(): 1st argument: invalid ChainingIterator object"); + return NULL; + } + if (!((BPy_UnaryPredicate1D *)obj2)->up1D) { + PyErr_SetString(PyExc_TypeError, + "Operators.chain(): 2nd argument: invalid UnaryPredicate1D object"); + return NULL; + } + if (!obj3) { + if (Operators::chain(*(((BPy_ChainingIterator *)obj1)->c_it), + *(((BPy_UnaryPredicate1D *)obj2)->up1D)) < 0) { + if (!PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "Operators.chain() failed"); + return NULL; + } + } + else { + if (!((BPy_UnaryFunction1DVoid *)obj3)->uf1D_void) { + PyErr_SetString(PyExc_TypeError, + "Operators.chain(): 3rd argument: invalid UnaryFunction1DVoid object"); + return NULL; + } + if (Operators::chain(*(((BPy_ChainingIterator *)obj1)->c_it), + *(((BPy_UnaryPredicate1D *)obj2)->up1D), + *(((BPy_UnaryFunction1DVoid *)obj3)->uf1D_void)) < 0) { + if (!PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "Operators.chain() failed"); + return NULL; + } + } + Py_RETURN_NONE; } PyDoc_STRVAR(Operators_bidirectional_chain_doc, -".. staticmethod:: bidirectional_chain(it, pred)\n" -"\n" -" Builds a set of chains from the current set of ViewEdges. Each\n" -" ViewEdge of the current list potentially starts a new chain. The\n" -" chaining operator then iterates over the ViewEdges of the ViewMap\n" -" using the user specified iterator. This operator iterates both using\n" -" the increment and decrement operators and is therefore bidirectional.\n" -" This operator works with a ChainingIterator which contains the\n" -" chaining rules. It is this last one which can be told to chain only\n" -" edges that belong to the selection or not to process twice a ViewEdge\n" -" during the chaining. Each time a ViewEdge is added to a chain, its\n" -" chaining time stamp is incremented. This allows you to keep track of\n" -" the number of chains to which a ViewEdge belongs to.\n" -"\n" -" :arg it: The ChainingIterator on the ViewEdges of the ViewMap. It\n" -" contains the chaining rule.\n" -" :type it: :class:`ChainingIterator`\n" -" :arg pred: The predicate on the ViewEdge that expresses the\n" -" stopping condition.\n" -" :type pred: :class:`UnaryPredicate1D`\n" -"\n" -".. staticmethod:: bidirectional_chain(it)\n" -"\n" -" The only difference with the above bidirectional chaining algorithm\n" -" is that we don't need to pass a stopping criterion. This might be\n" -" desirable when the stopping criterion is already contained in the\n" -" iterator definition. Builds a set of chains from the current set of\n" -" ViewEdges. Each ViewEdge of the current list potentially starts a new\n" -" chain. The chaining operator then iterates over the ViewEdges of the\n" -" ViewMap using the user specified iterator. This operator iterates\n" -" both using the increment and decrement operators and is therefore\n" -" bidirectional. This operator works with a ChainingIterator which\n" -" contains the chaining rules. It is this last one which can be told to\n" -" chain only edges that belong to the selection or not to process twice\n" -" a ViewEdge during the chaining. Each time a ViewEdge is added to a\n" -" chain, its chaining time stamp is incremented. This allows you to\n" -" keep track of the number of chains to which a ViewEdge belongs to.\n" -"\n" -" :arg it: The ChainingIterator on the ViewEdges of the ViewMap. It\n" -" contains the chaining rule.\n" -" :type it: :class:`ChainingIterator`"); - -static PyObject *Operators_bidirectional_chain(BPy_Operators * /*self*/, PyObject *args, PyObject *kwds) + ".. staticmethod:: bidirectional_chain(it, pred)\n" + "\n" + " Builds a set of chains from the current set of ViewEdges. Each\n" + " ViewEdge of the current list potentially starts a new chain. The\n" + " chaining operator then iterates over the ViewEdges of the ViewMap\n" + " using the user specified iterator. This operator iterates both using\n" + " the increment and decrement operators and is therefore bidirectional.\n" + " This operator works with a ChainingIterator which contains the\n" + " chaining rules. It is this last one which can be told to chain only\n" + " edges that belong to the selection or not to process twice a ViewEdge\n" + " during the chaining. Each time a ViewEdge is added to a chain, its\n" + " chaining time stamp is incremented. This allows you to keep track of\n" + " the number of chains to which a ViewEdge belongs to.\n" + "\n" + " :arg it: The ChainingIterator on the ViewEdges of the ViewMap. It\n" + " contains the chaining rule.\n" + " :type it: :class:`ChainingIterator`\n" + " :arg pred: The predicate on the ViewEdge that expresses the\n" + " stopping condition.\n" + " :type pred: :class:`UnaryPredicate1D`\n" + "\n" + ".. staticmethod:: bidirectional_chain(it)\n" + "\n" + " The only difference with the above bidirectional chaining algorithm\n" + " is that we don't need to pass a stopping criterion. This might be\n" + " desirable when the stopping criterion is already contained in the\n" + " iterator definition. Builds a set of chains from the current set of\n" + " ViewEdges. Each ViewEdge of the current list potentially starts a new\n" + " chain. The chaining operator then iterates over the ViewEdges of the\n" + " ViewMap using the user specified iterator. This operator iterates\n" + " both using the increment and decrement operators and is therefore\n" + " bidirectional. This operator works with a ChainingIterator which\n" + " contains the chaining rules. It is this last one which can be told to\n" + " chain only edges that belong to the selection or not to process twice\n" + " a ViewEdge during the chaining. Each time a ViewEdge is added to a\n" + " chain, its chaining time stamp is incremented. This allows you to\n" + " keep track of the number of chains to which a ViewEdge belongs to.\n" + "\n" + " :arg it: The ChainingIterator on the ViewEdges of the ViewMap. It\n" + " contains the chaining rule.\n" + " :type it: :class:`ChainingIterator`"); + +static PyObject *Operators_bidirectional_chain(BPy_Operators * /*self*/, + PyObject *args, + PyObject *kwds) { - static const char *kwlist[] = {"it", "pred", NULL}; - PyObject *obj1 = 0, *obj2 = 0; - - if (!PyArg_ParseTupleAndKeywords(args, kwds, "O!|O!", (char **)kwlist, - &ChainingIterator_Type, &obj1, &UnaryPredicate1D_Type, &obj2)) - { - return NULL; - } - if (!((BPy_ChainingIterator *)obj1)->c_it) { - PyErr_SetString(PyExc_TypeError, - "Operators.bidirectional_chain(): 1st argument: invalid ChainingIterator object"); - return NULL; - } - if (!obj2) { - if (Operators::bidirectionalChain(*(((BPy_ChainingIterator *)obj1)->c_it)) < 0) { - if (!PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "Operators.bidirectional_chain() failed"); - return NULL; - } - } - else { - if (!((BPy_UnaryPredicate1D *)obj2)->up1D) { - PyErr_SetString(PyExc_TypeError, - "Operators.bidirectional_chain(): 2nd argument: invalid UnaryPredicate1D object"); - return NULL; - } - if (Operators::bidirectionalChain(*(((BPy_ChainingIterator *)obj1)->c_it), - *(((BPy_UnaryPredicate1D *)obj2)->up1D)) < 0) - { - if (!PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "Operators.bidirectional_chain() failed"); - return NULL; - } - } - Py_RETURN_NONE; + static const char *kwlist[] = {"it", "pred", NULL}; + PyObject *obj1 = 0, *obj2 = 0; + + if (!PyArg_ParseTupleAndKeywords(args, + kwds, + "O!|O!", + (char **)kwlist, + &ChainingIterator_Type, + &obj1, + &UnaryPredicate1D_Type, + &obj2)) { + return NULL; + } + if (!((BPy_ChainingIterator *)obj1)->c_it) { + PyErr_SetString( + PyExc_TypeError, + "Operators.bidirectional_chain(): 1st argument: invalid ChainingIterator object"); + return NULL; + } + if (!obj2) { + if (Operators::bidirectionalChain(*(((BPy_ChainingIterator *)obj1)->c_it)) < 0) { + if (!PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "Operators.bidirectional_chain() failed"); + return NULL; + } + } + else { + if (!((BPy_UnaryPredicate1D *)obj2)->up1D) { + PyErr_SetString( + PyExc_TypeError, + "Operators.bidirectional_chain(): 2nd argument: invalid UnaryPredicate1D object"); + return NULL; + } + if (Operators::bidirectionalChain(*(((BPy_ChainingIterator *)obj1)->c_it), + *(((BPy_UnaryPredicate1D *)obj2)->up1D)) < 0) { + if (!PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "Operators.bidirectional_chain() failed"); + return NULL; + } + } + Py_RETURN_NONE; } PyDoc_STRVAR(Operators_sequential_split_doc, -".. staticmethod:: sequential_split(starting_pred, stopping_pred, sampling=0.0)\n" -"\n" -" Splits each chain of the current set of chains in a sequential way.\n" -" The points of each chain are processed (with a specified sampling)\n" -" sequentially. Each time a user specified starting condition is\n" -" verified, a new chain begins and ends as soon as a user-defined\n" -" stopping predicate is verified. This allows chains overlapping rather\n" -" than chains partitioning. The first point of the initial chain is the\n" -" first point of one of the resulting chains. The splitting ends when\n" -" no more chain can start.\n" -"\n" -" :arg starting_pred: The predicate on a point that expresses the\n" -" starting condition.\n" -" :type starting_pred: :class:`UnaryPredicate0D`\n" -" :arg stopping_pred: The predicate on a point that expresses the\n" -" stopping condition.\n" -" :type stopping_pred: :class:`UnaryPredicate0D`\n" -" :arg sampling: The resolution used to sample the chain for the\n" -" predicates evaluation. (The chain is not actually resampled;\n" -" a virtual point only progresses along the curve using this\n" -" resolution.)\n" -" :type sampling: float\n" -"\n" -".. staticmethod:: sequential_split(pred, sampling=0.0)\n" -"\n" -" Splits each chain of the current set of chains in a sequential way.\n" -" The points of each chain are processed (with a specified sampling)\n" -" sequentially and each time a user specified condition is verified,\n" -" the chain is split into two chains. The resulting set of chains is a\n" -" partition of the initial chain\n" -"\n" -" :arg pred: The predicate on a point that expresses the splitting\n" -" condition.\n" -" :type pred: :class:`UnaryPredicate0D`\n" -" :arg sampling: The resolution used to sample the chain for the\n" -" predicate evaluation. (The chain is not actually resampled; a\n" -" virtual point only progresses along the curve using this\n" -" resolution.)\n" -" :type sampling: float"); - -static PyObject *Operators_sequential_split(BPy_Operators * /*self*/, PyObject *args, PyObject *kwds) + ".. staticmethod:: sequential_split(starting_pred, stopping_pred, sampling=0.0)\n" + "\n" + " Splits each chain of the current set of chains in a sequential way.\n" + " The points of each chain are processed (with a specified sampling)\n" + " sequentially. Each time a user specified starting condition is\n" + " verified, a new chain begins and ends as soon as a user-defined\n" + " stopping predicate is verified. This allows chains overlapping rather\n" + " than chains partitioning. The first point of the initial chain is the\n" + " first point of one of the resulting chains. The splitting ends when\n" + " no more chain can start.\n" + "\n" + " :arg starting_pred: The predicate on a point that expresses the\n" + " starting condition.\n" + " :type starting_pred: :class:`UnaryPredicate0D`\n" + " :arg stopping_pred: The predicate on a point that expresses the\n" + " stopping condition.\n" + " :type stopping_pred: :class:`UnaryPredicate0D`\n" + " :arg sampling: The resolution used to sample the chain for the\n" + " predicates evaluation. (The chain is not actually resampled;\n" + " a virtual point only progresses along the curve using this\n" + " resolution.)\n" + " :type sampling: float\n" + "\n" + ".. staticmethod:: sequential_split(pred, sampling=0.0)\n" + "\n" + " Splits each chain of the current set of chains in a sequential way.\n" + " The points of each chain are processed (with a specified sampling)\n" + " sequentially and each time a user specified condition is verified,\n" + " the chain is split into two chains. The resulting set of chains is a\n" + " partition of the initial chain\n" + "\n" + " :arg pred: The predicate on a point that expresses the splitting\n" + " condition.\n" + " :type pred: :class:`UnaryPredicate0D`\n" + " :arg sampling: The resolution used to sample the chain for the\n" + " predicate evaluation. (The chain is not actually resampled; a\n" + " virtual point only progresses along the curve using this\n" + " resolution.)\n" + " :type sampling: float"); + +static PyObject *Operators_sequential_split(BPy_Operators * /*self*/, + PyObject *args, + PyObject *kwds) { - static const char *kwlist_1[] = {"starting_pred", "stopping_pred", "sampling", NULL}; - static const char *kwlist_2[] = {"pred", "sampling", NULL}; - PyObject *obj1 = 0, *obj2 = 0; - float f = 0.0f; - - if (PyArg_ParseTupleAndKeywords(args, kwds, "O!O!|f", (char **)kwlist_1, - &UnaryPredicate0D_Type, &obj1, &UnaryPredicate0D_Type, &obj2, &f)) - { - if (!((BPy_UnaryPredicate0D *)obj1)->up0D) { - PyErr_SetString(PyExc_TypeError, - "Operators.sequential_split(): 1st argument: invalid UnaryPredicate0D object"); - return NULL; - } - if (!((BPy_UnaryPredicate0D *)obj2)->up0D) { - PyErr_SetString(PyExc_TypeError, - "Operators.sequential_split(): 2nd argument: invalid UnaryPredicate0D object"); - return NULL; - } - if (Operators::sequentialSplit(*(((BPy_UnaryPredicate0D *)obj1)->up0D), - *(((BPy_UnaryPredicate0D *)obj2)->up0D), - f) < 0) - { - if (!PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "Operators.sequential_split() failed"); - return NULL; - } - } - else if (PyErr_Clear(), (f = 0.0f), - PyArg_ParseTupleAndKeywords(args, kwds, "O!|f", (char **)kwlist_2, - &UnaryPredicate0D_Type, &obj1, &f)) - { - if (!((BPy_UnaryPredicate0D *)obj1)->up0D) { - PyErr_SetString(PyExc_TypeError, - "Operators.sequential_split(): 1st argument: invalid UnaryPredicate0D object"); - return NULL; - } - if (Operators::sequentialSplit(*(((BPy_UnaryPredicate0D *)obj1)->up0D), f) < 0) { - if (!PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "Operators.sequential_split() failed"); - return NULL; - } - } - else { - PyErr_SetString(PyExc_TypeError, "invalid argument(s)"); - return NULL; - } - Py_RETURN_NONE; + static const char *kwlist_1[] = {"starting_pred", "stopping_pred", "sampling", NULL}; + static const char *kwlist_2[] = {"pred", "sampling", NULL}; + PyObject *obj1 = 0, *obj2 = 0; + float f = 0.0f; + + if (PyArg_ParseTupleAndKeywords(args, + kwds, + "O!O!|f", + (char **)kwlist_1, + &UnaryPredicate0D_Type, + &obj1, + &UnaryPredicate0D_Type, + &obj2, + &f)) { + if (!((BPy_UnaryPredicate0D *)obj1)->up0D) { + PyErr_SetString( + PyExc_TypeError, + "Operators.sequential_split(): 1st argument: invalid UnaryPredicate0D object"); + return NULL; + } + if (!((BPy_UnaryPredicate0D *)obj2)->up0D) { + PyErr_SetString( + PyExc_TypeError, + "Operators.sequential_split(): 2nd argument: invalid UnaryPredicate0D object"); + return NULL; + } + if (Operators::sequentialSplit(*(((BPy_UnaryPredicate0D *)obj1)->up0D), + *(((BPy_UnaryPredicate0D *)obj2)->up0D), + f) < 0) { + if (!PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "Operators.sequential_split() failed"); + return NULL; + } + } + else if (PyErr_Clear(), + (f = 0.0f), + PyArg_ParseTupleAndKeywords( + args, kwds, "O!|f", (char **)kwlist_2, &UnaryPredicate0D_Type, &obj1, &f)) { + if (!((BPy_UnaryPredicate0D *)obj1)->up0D) { + PyErr_SetString( + PyExc_TypeError, + "Operators.sequential_split(): 1st argument: invalid UnaryPredicate0D object"); + return NULL; + } + if (Operators::sequentialSplit(*(((BPy_UnaryPredicate0D *)obj1)->up0D), f) < 0) { + if (!PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "Operators.sequential_split() failed"); + return NULL; + } + } + else { + PyErr_SetString(PyExc_TypeError, "invalid argument(s)"); + return NULL; + } + Py_RETURN_NONE; } PyDoc_STRVAR(Operators_recursive_split_doc, -".. staticmethod:: recursive_split(func, pred_1d, sampling=0.0)\n" -"\n" -" Splits the current set of chains in a recursive way. We process the\n" -" points of each chain (with a specified sampling) to find the point\n" -" minimizing a specified function. The chain is split in two at this\n" -" point and the two new chains are processed in the same way. The\n" -" recursivity level is controlled through a predicate 1D that expresses\n" -" a stopping condition on the chain that is about to be processed.\n" -"\n" -" :arg func: The Unary Function evaluated at each point of the chain.\n" -" The splitting point is the point minimizing this function.\n" -" :type func: :class:`UnaryFunction0DDouble`\n" -" :arg pred_1d: The Unary Predicate expressing the recursivity stopping\n" -" condition. This predicate is evaluated for each curve before it\n" -" actually gets split. If pred_1d(chain) is true, the curve won't be\n" -" split anymore.\n" -" :type pred_1d: :class:`UnaryPredicate1D`\n" -" :arg sampling: The resolution used to sample the chain for the\n" -" predicates evaluation. (The chain is not actually resampled, a\n" -" virtual point only progresses along the curve using this\n" -" resolution.)\n" -" :type sampling: float\n" -"\n" -".. staticmethod:: recursive_split(func, pred_0d, pred_1d, sampling=0.0)\n" -"\n" -" Splits the current set of chains in a recursive way. We process the\n" -" points of each chain (with a specified sampling) to find the point\n" -" minimizing a specified function. The chain is split in two at this\n" -" point and the two new chains are processed in the same way. The user\n" -" can specify a 0D predicate to make a first selection on the points\n" -" that can potentially be split. A point that doesn't verify the 0D\n" -" predicate won't be candidate in realizing the min. The recursivity\n" -" level is controlled through a predicate 1D that expresses a stopping\n" -" condition on the chain that is about to be processed.\n" -"\n" -" :arg func: The Unary Function evaluated at each point of the chain.\n" -" The splitting point is the point minimizing this function.\n" -" :type func: :class:`UnaryFunction0DDouble`\n" -" :arg pred_0d: The Unary Predicate 0D used to select the candidate\n" -" points where the split can occur. For example, it is very likely\n" -" that would rather have your chain splitting around its middle\n" -" point than around one of its extremities. A 0D predicate working\n" -" on the curvilinear abscissa allows to add this kind of constraints.\n" -" :type pred_0d: :class:`UnaryPredicate0D`\n" -" :arg pred_1d: The Unary Predicate expressing the recursivity stopping\n" -" condition. This predicate is evaluated for each curve before it\n" -" actually gets split. If pred_1d(chain) is true, the curve won't be\n" -" split anymore.\n" -" :type pred_1d: :class:`UnaryPredicate1D`\n" -" :arg sampling: The resolution used to sample the chain for the\n" -" predicates evaluation. (The chain is not actually resampled; a\n" -" virtual point only progresses along the curve using this\n" -" resolution.)\n" -" :type sampling: float"); - -static PyObject *Operators_recursive_split(BPy_Operators * /*self*/, PyObject *args, PyObject *kwds) + ".. staticmethod:: recursive_split(func, pred_1d, sampling=0.0)\n" + "\n" + " Splits the current set of chains in a recursive way. We process the\n" + " points of each chain (with a specified sampling) to find the point\n" + " minimizing a specified function. The chain is split in two at this\n" + " point and the two new chains are processed in the same way. The\n" + " recursivity level is controlled through a predicate 1D that expresses\n" + " a stopping condition on the chain that is about to be processed.\n" + "\n" + " :arg func: The Unary Function evaluated at each point of the chain.\n" + " The splitting point is the point minimizing this function.\n" + " :type func: :class:`UnaryFunction0DDouble`\n" + " :arg pred_1d: The Unary Predicate expressing the recursivity stopping\n" + " condition. This predicate is evaluated for each curve before it\n" + " actually gets split. If pred_1d(chain) is true, the curve won't be\n" + " split anymore.\n" + " :type pred_1d: :class:`UnaryPredicate1D`\n" + " :arg sampling: The resolution used to sample the chain for the\n" + " predicates evaluation. (The chain is not actually resampled, a\n" + " virtual point only progresses along the curve using this\n" + " resolution.)\n" + " :type sampling: float\n" + "\n" + ".. staticmethod:: recursive_split(func, pred_0d, pred_1d, sampling=0.0)\n" + "\n" + " Splits the current set of chains in a recursive way. We process the\n" + " points of each chain (with a specified sampling) to find the point\n" + " minimizing a specified function. The chain is split in two at this\n" + " point and the two new chains are processed in the same way. The user\n" + " can specify a 0D predicate to make a first selection on the points\n" + " that can potentially be split. A point that doesn't verify the 0D\n" + " predicate won't be candidate in realizing the min. The recursivity\n" + " level is controlled through a predicate 1D that expresses a stopping\n" + " condition on the chain that is about to be processed.\n" + "\n" + " :arg func: The Unary Function evaluated at each point of the chain.\n" + " The splitting point is the point minimizing this function.\n" + " :type func: :class:`UnaryFunction0DDouble`\n" + " :arg pred_0d: The Unary Predicate 0D used to select the candidate\n" + " points where the split can occur. For example, it is very likely\n" + " that would rather have your chain splitting around its middle\n" + " point than around one of its extremities. A 0D predicate working\n" + " on the curvilinear abscissa allows to add this kind of constraints.\n" + " :type pred_0d: :class:`UnaryPredicate0D`\n" + " :arg pred_1d: The Unary Predicate expressing the recursivity stopping\n" + " condition. This predicate is evaluated for each curve before it\n" + " actually gets split. If pred_1d(chain) is true, the curve won't be\n" + " split anymore.\n" + " :type pred_1d: :class:`UnaryPredicate1D`\n" + " :arg sampling: The resolution used to sample the chain for the\n" + " predicates evaluation. (The chain is not actually resampled; a\n" + " virtual point only progresses along the curve using this\n" + " resolution.)\n" + " :type sampling: float"); + +static PyObject *Operators_recursive_split(BPy_Operators * /*self*/, + PyObject *args, + PyObject *kwds) { - static const char *kwlist_1[] = {"func", "pred_1d", "sampling", NULL}; - static const char *kwlist_2[] = {"func", "pred_0d", "pred_1d", "sampling", NULL}; - PyObject *obj1 = 0, *obj2 = 0, *obj3 = 0; - float f = 0.0f; - - if (PyArg_ParseTupleAndKeywords(args, kwds, "O!O!|f", (char **)kwlist_1, - &UnaryFunction0DDouble_Type, &obj1, &UnaryPredicate1D_Type, &obj2, &f)) - { - if (!((BPy_UnaryFunction0DDouble *)obj1)->uf0D_double) { - PyErr_SetString(PyExc_TypeError, - "Operators.recursive_split(): 1st argument: invalid UnaryFunction0DDouble object"); - return NULL; - } - if (!((BPy_UnaryPredicate1D *)obj2)->up1D) { - PyErr_SetString(PyExc_TypeError, - "Operators.recursive_split(): 2nd argument: invalid UnaryPredicate1D object"); - return NULL; - } - if (Operators::recursiveSplit(*(((BPy_UnaryFunction0DDouble *)obj1)->uf0D_double), - *(((BPy_UnaryPredicate1D *)obj2)->up1D), - f) < 0) - { - if (!PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "Operators.recursive_split() failed"); - return NULL; - } - } - else if (PyErr_Clear(), (f = 0.0f), - PyArg_ParseTupleAndKeywords(args, kwds, "O!O!O!|f", (char **)kwlist_2, - &UnaryFunction0DDouble_Type, &obj1, &UnaryPredicate0D_Type, &obj2, - &UnaryPredicate1D_Type, &obj3, &f)) - { - if (!((BPy_UnaryFunction0DDouble *)obj1)->uf0D_double) { - PyErr_SetString(PyExc_TypeError, - "Operators.recursive_split(): 1st argument: invalid UnaryFunction0DDouble object"); - return NULL; - } - if (!((BPy_UnaryPredicate0D *)obj2)->up0D) { - PyErr_SetString(PyExc_TypeError, - "Operators.recursive_split(): 2nd argument: invalid UnaryPredicate0D object"); - return NULL; - } - if (!((BPy_UnaryPredicate1D *)obj3)->up1D) { - PyErr_SetString(PyExc_TypeError, - "Operators.recursive_split(): 3rd argument: invalid UnaryPredicate1D object"); - return NULL; - } - if (Operators::recursiveSplit(*(((BPy_UnaryFunction0DDouble *)obj1)->uf0D_double), - *(((BPy_UnaryPredicate0D *)obj2)->up0D), - *(((BPy_UnaryPredicate1D *)obj3)->up1D), - f) < 0) - { - if (!PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "Operators.recursive_split() failed"); - return NULL; - } - } - else { - PyErr_SetString(PyExc_TypeError, "invalid argument(s)"); - return NULL; - } - Py_RETURN_NONE; + static const char *kwlist_1[] = {"func", "pred_1d", "sampling", NULL}; + static const char *kwlist_2[] = {"func", "pred_0d", "pred_1d", "sampling", NULL}; + PyObject *obj1 = 0, *obj2 = 0, *obj3 = 0; + float f = 0.0f; + + if (PyArg_ParseTupleAndKeywords(args, + kwds, + "O!O!|f", + (char **)kwlist_1, + &UnaryFunction0DDouble_Type, + &obj1, + &UnaryPredicate1D_Type, + &obj2, + &f)) { + if (!((BPy_UnaryFunction0DDouble *)obj1)->uf0D_double) { + PyErr_SetString( + PyExc_TypeError, + "Operators.recursive_split(): 1st argument: invalid UnaryFunction0DDouble object"); + return NULL; + } + if (!((BPy_UnaryPredicate1D *)obj2)->up1D) { + PyErr_SetString( + PyExc_TypeError, + "Operators.recursive_split(): 2nd argument: invalid UnaryPredicate1D object"); + return NULL; + } + if (Operators::recursiveSplit(*(((BPy_UnaryFunction0DDouble *)obj1)->uf0D_double), + *(((BPy_UnaryPredicate1D *)obj2)->up1D), + f) < 0) { + if (!PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "Operators.recursive_split() failed"); + return NULL; + } + } + else if (PyErr_Clear(), + (f = 0.0f), + PyArg_ParseTupleAndKeywords(args, + kwds, + "O!O!O!|f", + (char **)kwlist_2, + &UnaryFunction0DDouble_Type, + &obj1, + &UnaryPredicate0D_Type, + &obj2, + &UnaryPredicate1D_Type, + &obj3, + &f)) { + if (!((BPy_UnaryFunction0DDouble *)obj1)->uf0D_double) { + PyErr_SetString( + PyExc_TypeError, + "Operators.recursive_split(): 1st argument: invalid UnaryFunction0DDouble object"); + return NULL; + } + if (!((BPy_UnaryPredicate0D *)obj2)->up0D) { + PyErr_SetString( + PyExc_TypeError, + "Operators.recursive_split(): 2nd argument: invalid UnaryPredicate0D object"); + return NULL; + } + if (!((BPy_UnaryPredicate1D *)obj3)->up1D) { + PyErr_SetString( + PyExc_TypeError, + "Operators.recursive_split(): 3rd argument: invalid UnaryPredicate1D object"); + return NULL; + } + if (Operators::recursiveSplit(*(((BPy_UnaryFunction0DDouble *)obj1)->uf0D_double), + *(((BPy_UnaryPredicate0D *)obj2)->up0D), + *(((BPy_UnaryPredicate1D *)obj3)->up1D), + f) < 0) { + if (!PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "Operators.recursive_split() failed"); + return NULL; + } + } + else { + PyErr_SetString(PyExc_TypeError, "invalid argument(s)"); + return NULL; + } + Py_RETURN_NONE; } PyDoc_STRVAR(Operators_sort_doc, -".. staticmethod:: sort(pred)\n" -"\n" -" Sorts the current set of chains (or viewedges) according to the\n" -" comparison predicate given as argument.\n" -"\n" -" :arg pred: The binary predicate used for the comparison.\n" -" :type pred: :class:`BinaryPredicate1D`"); + ".. staticmethod:: sort(pred)\n" + "\n" + " Sorts the current set of chains (or viewedges) according to the\n" + " comparison predicate given as argument.\n" + "\n" + " :arg pred: The binary predicate used for the comparison.\n" + " :type pred: :class:`BinaryPredicate1D`"); static PyObject *Operators_sort(BPy_Operators * /*self*/, PyObject *args, PyObject *kwds) { - static const char *kwlist[] = {"pred", NULL}; - PyObject *obj = 0; - - if (!PyArg_ParseTupleAndKeywords(args, kwds, "O!", (char **)kwlist, &BinaryPredicate1D_Type, &obj)) - return NULL; - if (!((BPy_BinaryPredicate1D *)obj)->bp1D) { - PyErr_SetString(PyExc_TypeError, "Operators.sort(): 1st argument: invalid BinaryPredicate1D object"); - return NULL; - } - if (Operators::sort(*(((BPy_BinaryPredicate1D *)obj)->bp1D)) < 0) { - if (!PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "Operators.sort() failed"); - return NULL; - } - Py_RETURN_NONE; + static const char *kwlist[] = {"pred", NULL}; + PyObject *obj = 0; + + if (!PyArg_ParseTupleAndKeywords( + args, kwds, "O!", (char **)kwlist, &BinaryPredicate1D_Type, &obj)) + return NULL; + if (!((BPy_BinaryPredicate1D *)obj)->bp1D) { + PyErr_SetString(PyExc_TypeError, + "Operators.sort(): 1st argument: invalid BinaryPredicate1D object"); + return NULL; + } + if (Operators::sort(*(((BPy_BinaryPredicate1D *)obj)->bp1D)) < 0) { + if (!PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "Operators.sort() failed"); + return NULL; + } + Py_RETURN_NONE; } PyDoc_STRVAR(Operators_create_doc, -".. staticmethod:: create(pred, shaders)\n" -"\n" -" Creates and shades the strokes from the current set of chains. A\n" -" predicate can be specified to make a selection pass on the chains.\n" -"\n" -" :arg pred: The predicate that a chain must verify in order to be\n" -" transform as a stroke.\n" -" :type pred: :class:`UnaryPredicate1D`\n" -" :arg shaders: The list of shaders used to shade the strokes.\n" -" :type shaders: list of :class:`StrokeShader` objects"); + ".. staticmethod:: create(pred, shaders)\n" + "\n" + " Creates and shades the strokes from the current set of chains. A\n" + " predicate can be specified to make a selection pass on the chains.\n" + "\n" + " :arg pred: The predicate that a chain must verify in order to be\n" + " transform as a stroke.\n" + " :type pred: :class:`UnaryPredicate1D`\n" + " :arg shaders: The list of shaders used to shade the strokes.\n" + " :type shaders: list of :class:`StrokeShader` objects"); static PyObject *Operators_create(BPy_Operators * /*self*/, PyObject *args, PyObject *kwds) { - static const char *kwlist[] = {"pred", "shaders", NULL}; - PyObject *obj1 = 0, *obj2 = 0; - - if (!PyArg_ParseTupleAndKeywords(args, kwds, "O!O!", (char **)kwlist, - &UnaryPredicate1D_Type, &obj1, &PyList_Type, &obj2)) - { - return NULL; - } - if (!((BPy_UnaryPredicate1D *)obj1)->up1D) { - PyErr_SetString(PyExc_TypeError, "Operators.create(): 1st argument: invalid UnaryPredicate1D object"); - return NULL; - } - vector<StrokeShader *> shaders; - shaders.reserve(PyList_Size(obj2)); - for (int i = 0; i < PyList_Size(obj2); i++) { - PyObject *py_ss = PyList_GET_ITEM(obj2, i); - if (!BPy_StrokeShader_Check(py_ss)) { - PyErr_SetString(PyExc_TypeError, "Operators.create(): 2nd argument must be a list of StrokeShader objects"); - return NULL; - } - StrokeShader *shader = ((BPy_StrokeShader *)py_ss)->ss; - if (!shader) { - stringstream ss; - ss << "Operators.create(): item " << (i + 1) - << " of the shaders list is invalid likely due to missing call of StrokeShader.__init__()"; - PyErr_SetString(PyExc_TypeError, ss.str().c_str()); - return NULL; - } - shaders.push_back(shader); - } - if (Operators::create(*(((BPy_UnaryPredicate1D *)obj1)->up1D), shaders) < 0) { - if (!PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "Operators.create() failed"); - return NULL; - } - Py_RETURN_NONE; + static const char *kwlist[] = {"pred", "shaders", NULL}; + PyObject *obj1 = 0, *obj2 = 0; + + if (!PyArg_ParseTupleAndKeywords(args, + kwds, + "O!O!", + (char **)kwlist, + &UnaryPredicate1D_Type, + &obj1, + &PyList_Type, + &obj2)) { + return NULL; + } + if (!((BPy_UnaryPredicate1D *)obj1)->up1D) { + PyErr_SetString(PyExc_TypeError, + "Operators.create(): 1st argument: invalid UnaryPredicate1D object"); + return NULL; + } + vector<StrokeShader *> shaders; + shaders.reserve(PyList_Size(obj2)); + for (int i = 0; i < PyList_Size(obj2); i++) { + PyObject *py_ss = PyList_GET_ITEM(obj2, i); + if (!BPy_StrokeShader_Check(py_ss)) { + PyErr_SetString(PyExc_TypeError, + "Operators.create(): 2nd argument must be a list of StrokeShader objects"); + return NULL; + } + StrokeShader *shader = ((BPy_StrokeShader *)py_ss)->ss; + if (!shader) { + stringstream ss; + ss << "Operators.create(): item " << (i + 1) + << " of the shaders list is invalid likely due to missing call of " + "StrokeShader.__init__()"; + PyErr_SetString(PyExc_TypeError, ss.str().c_str()); + return NULL; + } + shaders.push_back(shader); + } + if (Operators::create(*(((BPy_UnaryPredicate1D *)obj1)->up1D), shaders) < 0) { + if (!PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "Operators.create() failed"); + return NULL; + } + Py_RETURN_NONE; } PyDoc_STRVAR(Operators_reset_doc, -".. staticmethod:: reset(delete_strokes=True)\n" -"\n" -" Resets the line stylization process to the initial state. The results of\n" -" stroke creation are accumulated if **delete_strokes** is set to False.\n" -"\n" -" :arg delete_strokes: Delete the strokes that are currently stored.\n" -" :type delete_strokes: bool\n"); + ".. staticmethod:: reset(delete_strokes=True)\n" + "\n" + " Resets the line stylization process to the initial state. The results of\n" + " stroke creation are accumulated if **delete_strokes** is set to False.\n" + "\n" + " :arg delete_strokes: Delete the strokes that are currently stored.\n" + " :type delete_strokes: bool\n"); static PyObject *Operators_reset(BPy_Operators * /*self*/, PyObject *args, PyObject *kwds) { - static const char *kwlist[] = {"delete_strokes", NULL}; - PyObject *obj1 = 0; - if (PyArg_ParseTupleAndKeywords(args, kwds, "|O!", (char **)kwlist, &PyBool_Type, &obj1)) { - // true is the default - Operators::reset(obj1 ? bool_from_PyBool(obj1) : true); - } - else { - PyErr_SetString(PyExc_RuntimeError, "Operators.reset() failed"); - return NULL; - } - Py_RETURN_NONE; + static const char *kwlist[] = {"delete_strokes", NULL}; + PyObject *obj1 = 0; + if (PyArg_ParseTupleAndKeywords(args, kwds, "|O!", (char **)kwlist, &PyBool_Type, &obj1)) { + // true is the default + Operators::reset(obj1 ? bool_from_PyBool(obj1) : true); + } + else { + PyErr_SetString(PyExc_RuntimeError, "Operators.reset() failed"); + return NULL; + } + Py_RETURN_NONE; } PyDoc_STRVAR(Operators_get_viewedge_from_index_doc, -".. staticmethod:: get_viewedge_from_index(i)\n" -"\n" -" Returns the ViewEdge at the index in the current set of ViewEdges.\n" -"\n" -" :arg i: index (0 <= i < Operators.get_view_edges_size()).\n" -" :type i: int\n" -" :return: The ViewEdge object.\n" -" :rtype: :class:`ViewEdge`"); - -static PyObject *Operators_get_viewedge_from_index(BPy_Operators * /*self*/, PyObject *args, PyObject *kwds) + ".. staticmethod:: get_viewedge_from_index(i)\n" + "\n" + " Returns the ViewEdge at the index in the current set of ViewEdges.\n" + "\n" + " :arg i: index (0 <= i < Operators.get_view_edges_size()).\n" + " :type i: int\n" + " :return: The ViewEdge object.\n" + " :rtype: :class:`ViewEdge`"); + +static PyObject *Operators_get_viewedge_from_index(BPy_Operators * /*self*/, + PyObject *args, + PyObject *kwds) { - static const char *kwlist[] = {"i", NULL}; - unsigned int i; - - if (!PyArg_ParseTupleAndKeywords(args, kwds, "I", (char **)kwlist, &i)) - return NULL; - if (i >= Operators::getViewEdgesSize()) { - PyErr_SetString(PyExc_IndexError, "index out of range"); - return NULL; - } - return BPy_ViewEdge_from_ViewEdge(*(Operators::getViewEdgeFromIndex(i))); + static const char *kwlist[] = {"i", NULL}; + unsigned int i; + + if (!PyArg_ParseTupleAndKeywords(args, kwds, "I", (char **)kwlist, &i)) + return NULL; + if (i >= Operators::getViewEdgesSize()) { + PyErr_SetString(PyExc_IndexError, "index out of range"); + return NULL; + } + return BPy_ViewEdge_from_ViewEdge(*(Operators::getViewEdgeFromIndex(i))); } PyDoc_STRVAR(Operators_get_chain_from_index_doc, -".. staticmethod:: get_chain_from_index(i)\n" -"\n" -" Returns the Chain at the index in the current set of Chains.\n" -"\n" -" :arg i: index (0 <= i < Operators.get_chains_size()).\n" -" :type i: int\n" -" :return: The Chain object.\n" -" :rtype: :class:`Chain`"); - -static PyObject *Operators_get_chain_from_index(BPy_Operators * /*self*/, PyObject *args, PyObject *kwds) + ".. staticmethod:: get_chain_from_index(i)\n" + "\n" + " Returns the Chain at the index in the current set of Chains.\n" + "\n" + " :arg i: index (0 <= i < Operators.get_chains_size()).\n" + " :type i: int\n" + " :return: The Chain object.\n" + " :rtype: :class:`Chain`"); + +static PyObject *Operators_get_chain_from_index(BPy_Operators * /*self*/, + PyObject *args, + PyObject *kwds) { - static const char *kwlist[] = {"i", NULL}; - unsigned int i; - - if (!PyArg_ParseTupleAndKeywords(args, kwds, "I", (char **)kwlist, &i)) - return NULL; - if (i >= Operators::getChainsSize()) { - PyErr_SetString(PyExc_IndexError, "index out of range"); - return NULL; - } - return BPy_Chain_from_Chain(*(Operators::getChainFromIndex(i))); + static const char *kwlist[] = {"i", NULL}; + unsigned int i; + + if (!PyArg_ParseTupleAndKeywords(args, kwds, "I", (char **)kwlist, &i)) + return NULL; + if (i >= Operators::getChainsSize()) { + PyErr_SetString(PyExc_IndexError, "index out of range"); + return NULL; + } + return BPy_Chain_from_Chain(*(Operators::getChainFromIndex(i))); } PyDoc_STRVAR(Operators_get_stroke_from_index_doc, -".. staticmethod:: get_stroke_from_index(i)\n" -"\n" -" Returns the Stroke at the index in the current set of Strokes.\n" -"\n" -" :arg i: index (0 <= i < Operators.get_strokes_size()).\n" -" :type i: int\n" -" :return: The Stroke object.\n" -" :rtype: :class:`Stroke`"); - -static PyObject *Operators_get_stroke_from_index(BPy_Operators * /*self*/, PyObject *args, PyObject *kwds) + ".. staticmethod:: get_stroke_from_index(i)\n" + "\n" + " Returns the Stroke at the index in the current set of Strokes.\n" + "\n" + " :arg i: index (0 <= i < Operators.get_strokes_size()).\n" + " :type i: int\n" + " :return: The Stroke object.\n" + " :rtype: :class:`Stroke`"); + +static PyObject *Operators_get_stroke_from_index(BPy_Operators * /*self*/, + PyObject *args, + PyObject *kwds) { - static const char *kwlist[] = {"i", NULL}; - unsigned int i; - - if (!PyArg_ParseTupleAndKeywords(args, kwds, "I", (char **)kwlist, &i)) - return NULL; - if (i >= Operators::getStrokesSize()) { - PyErr_SetString(PyExc_IndexError, "index out of range"); - return NULL; - } - return BPy_Stroke_from_Stroke(*(Operators::getStrokeFromIndex(i))); + static const char *kwlist[] = {"i", NULL}; + unsigned int i; + + if (!PyArg_ParseTupleAndKeywords(args, kwds, "I", (char **)kwlist, &i)) + return NULL; + if (i >= Operators::getStrokesSize()) { + PyErr_SetString(PyExc_IndexError, "index out of range"); + return NULL; + } + return BPy_Stroke_from_Stroke(*(Operators::getStrokeFromIndex(i))); } PyDoc_STRVAR(Operators_get_view_edges_size_doc, -".. staticmethod:: get_view_edges_size()\n" -"\n" -" Returns the number of ViewEdges.\n" -"\n" -" :return: The number of ViewEdges.\n" -" :rtype: int"); + ".. staticmethod:: get_view_edges_size()\n" + "\n" + " Returns the number of ViewEdges.\n" + "\n" + " :return: The number of ViewEdges.\n" + " :rtype: int"); static PyObject *Operators_get_view_edges_size(BPy_Operators * /*self*/) { - return PyLong_FromLong(Operators::getViewEdgesSize()); + return PyLong_FromLong(Operators::getViewEdgesSize()); } PyDoc_STRVAR(Operators_get_chains_size_doc, -".. staticmethod:: get_chains_size()\n" -"\n" -" Returns the number of Chains.\n" -"\n" -" :return: The number of Chains.\n" -" :rtype: int"); + ".. staticmethod:: get_chains_size()\n" + "\n" + " Returns the number of Chains.\n" + "\n" + " :return: The number of Chains.\n" + " :rtype: int"); static PyObject *Operators_get_chains_size(BPy_Operators * /*self*/) { - return PyLong_FromLong(Operators::getChainsSize()); + return PyLong_FromLong(Operators::getChainsSize()); } PyDoc_STRVAR(Operators_get_strokes_size_doc, -".. staticmethod:: get_strokes_size()\n" -"\n" -" Returns the number of Strokes.\n" -"\n" -" :return: The number of Strokes.\n" -" :rtype: int"); + ".. staticmethod:: get_strokes_size()\n" + "\n" + " Returns the number of Strokes.\n" + "\n" + " :return: The number of Strokes.\n" + " :rtype: int"); static PyObject *Operators_get_strokes_size(BPy_Operators * /*self*/) { - return PyLong_FromLong(Operators::getStrokesSize()); + return PyLong_FromLong(Operators::getStrokesSize()); } /*----------------------Operators instance definitions ----------------------------*/ static PyMethodDef BPy_Operators_methods[] = { - {"select", (PyCFunction) Operators_select, METH_VARARGS | METH_KEYWORDS | METH_STATIC, Operators_select_doc}, - {"chain", (PyCFunction) Operators_chain, METH_VARARGS | METH_KEYWORDS | METH_STATIC, Operators_chain_doc}, - {"bidirectional_chain", (PyCFunction) Operators_bidirectional_chain, METH_VARARGS | METH_KEYWORDS | METH_STATIC, - Operators_bidirectional_chain_doc}, - {"sequential_split", (PyCFunction) Operators_sequential_split, METH_VARARGS | METH_KEYWORDS | METH_STATIC, - Operators_sequential_split_doc}, - {"recursive_split", (PyCFunction) Operators_recursive_split, METH_VARARGS | METH_KEYWORDS | METH_STATIC, - Operators_recursive_split_doc}, - {"sort", (PyCFunction) Operators_sort, METH_VARARGS | METH_KEYWORDS | METH_STATIC, Operators_sort_doc}, - {"create", (PyCFunction) Operators_create, METH_VARARGS | METH_KEYWORDS | METH_STATIC, Operators_create_doc}, - {"reset", (PyCFunction) Operators_reset, METH_VARARGS | METH_KEYWORDS | METH_STATIC, Operators_reset_doc}, - {"get_viewedge_from_index", (PyCFunction) Operators_get_viewedge_from_index, - METH_VARARGS | METH_KEYWORDS | METH_STATIC, Operators_get_viewedge_from_index_doc}, - {"get_chain_from_index", (PyCFunction) Operators_get_chain_from_index, METH_VARARGS | METH_KEYWORDS | METH_STATIC, - Operators_get_chain_from_index_doc}, - {"get_stroke_from_index", (PyCFunction) Operators_get_stroke_from_index, METH_VARARGS | METH_KEYWORDS | METH_STATIC, - Operators_get_stroke_from_index_doc}, - {"get_view_edges_size", (PyCFunction) Operators_get_view_edges_size, METH_NOARGS | METH_STATIC, - Operators_get_view_edges_size_doc}, - {"get_chains_size", (PyCFunction) Operators_get_chains_size, METH_NOARGS | METH_STATIC, - Operators_get_chains_size_doc}, - {"get_strokes_size", (PyCFunction) Operators_get_strokes_size, METH_NOARGS | METH_STATIC, - Operators_get_strokes_size_doc}, - {NULL, NULL, 0, NULL}, + {"select", + (PyCFunction)Operators_select, + METH_VARARGS | METH_KEYWORDS | METH_STATIC, + Operators_select_doc}, + {"chain", + (PyCFunction)Operators_chain, + METH_VARARGS | METH_KEYWORDS | METH_STATIC, + Operators_chain_doc}, + {"bidirectional_chain", + (PyCFunction)Operators_bidirectional_chain, + METH_VARARGS | METH_KEYWORDS | METH_STATIC, + Operators_bidirectional_chain_doc}, + {"sequential_split", + (PyCFunction)Operators_sequential_split, + METH_VARARGS | METH_KEYWORDS | METH_STATIC, + Operators_sequential_split_doc}, + {"recursive_split", + (PyCFunction)Operators_recursive_split, + METH_VARARGS | METH_KEYWORDS | METH_STATIC, + Operators_recursive_split_doc}, + {"sort", + (PyCFunction)Operators_sort, + METH_VARARGS | METH_KEYWORDS | METH_STATIC, + Operators_sort_doc}, + {"create", + (PyCFunction)Operators_create, + METH_VARARGS | METH_KEYWORDS | METH_STATIC, + Operators_create_doc}, + {"reset", + (PyCFunction)Operators_reset, + METH_VARARGS | METH_KEYWORDS | METH_STATIC, + Operators_reset_doc}, + {"get_viewedge_from_index", + (PyCFunction)Operators_get_viewedge_from_index, + METH_VARARGS | METH_KEYWORDS | METH_STATIC, + Operators_get_viewedge_from_index_doc}, + {"get_chain_from_index", + (PyCFunction)Operators_get_chain_from_index, + METH_VARARGS | METH_KEYWORDS | METH_STATIC, + Operators_get_chain_from_index_doc}, + {"get_stroke_from_index", + (PyCFunction)Operators_get_stroke_from_index, + METH_VARARGS | METH_KEYWORDS | METH_STATIC, + Operators_get_stroke_from_index_doc}, + {"get_view_edges_size", + (PyCFunction)Operators_get_view_edges_size, + METH_NOARGS | METH_STATIC, + Operators_get_view_edges_size_doc}, + {"get_chains_size", + (PyCFunction)Operators_get_chains_size, + METH_NOARGS | METH_STATIC, + Operators_get_chains_size_doc}, + {"get_strokes_size", + (PyCFunction)Operators_get_strokes_size, + METH_NOARGS | METH_STATIC, + Operators_get_strokes_size_doc}, + {NULL, NULL, 0, NULL}, }; /*-----------------------BPy_Operators type definition ------------------------------*/ PyTypeObject Operators_Type = { - PyVarObject_HEAD_INIT(NULL, 0) - "Operators", /* tp_name */ - sizeof(BPy_Operators), /* tp_basicsize */ - 0, /* tp_itemsize */ - (destructor)Operators_dealloc, /* tp_dealloc */ - 0, /* tp_print */ - 0, /* tp_getattr */ - 0, /* tp_setattr */ - 0, /* tp_reserved */ - 0, /* tp_repr */ - 0, /* tp_as_number */ - 0, /* tp_as_sequence */ - 0, /* tp_as_mapping */ - 0, /* tp_hash */ - 0, /* tp_call */ - 0, /* tp_str */ - 0, /* tp_getattro */ - 0, /* tp_setattro */ - 0, /* tp_as_buffer */ - Py_TPFLAGS_DEFAULT, /* tp_flags */ - Operators_doc, /* tp_doc */ - 0, /* tp_traverse */ - 0, /* tp_clear */ - 0, /* tp_richcompare */ - 0, /* tp_weaklistoffset */ - 0, /* tp_iter */ - 0, /* tp_iternext */ - BPy_Operators_methods, /* tp_methods */ - 0, /* tp_members */ - 0, /* tp_getset */ - 0, /* tp_base */ - 0, /* tp_dict */ - 0, /* tp_descr_get */ - 0, /* tp_descr_set */ - 0, /* tp_dictoffset */ - 0, /* tp_init */ - 0, /* tp_alloc */ - PyType_GenericNew, /* tp_new */ + PyVarObject_HEAD_INIT(NULL, 0) "Operators", /* tp_name */ + sizeof(BPy_Operators), /* tp_basicsize */ + 0, /* tp_itemsize */ + (destructor)Operators_dealloc, /* tp_dealloc */ + 0, /* tp_print */ + 0, /* tp_getattr */ + 0, /* tp_setattr */ + 0, /* tp_reserved */ + 0, /* tp_repr */ + 0, /* tp_as_number */ + 0, /* tp_as_sequence */ + 0, /* tp_as_mapping */ + 0, /* tp_hash */ + 0, /* tp_call */ + 0, /* tp_str */ + 0, /* tp_getattro */ + 0, /* tp_setattro */ + 0, /* tp_as_buffer */ + Py_TPFLAGS_DEFAULT, /* tp_flags */ + Operators_doc, /* tp_doc */ + 0, /* tp_traverse */ + 0, /* tp_clear */ + 0, /* tp_richcompare */ + 0, /* tp_weaklistoffset */ + 0, /* tp_iter */ + 0, /* tp_iternext */ + BPy_Operators_methods, /* tp_methods */ + 0, /* tp_members */ + 0, /* tp_getset */ + 0, /* tp_base */ + 0, /* tp_dict */ + 0, /* tp_descr_get */ + 0, /* tp_descr_set */ + 0, /* tp_dictoffset */ + 0, /* tp_init */ + 0, /* tp_alloc */ + PyType_GenericNew, /* tp_new */ }; 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