py_option.hpp
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1 
12 #ifndef MLPACK_BINDINGS_PYTHON_PY_OPTION_HPP
13 #define MLPACK_BINDINGS_PYTHON_PY_OPTION_HPP
14 
16 #include "default_param.hpp"
17 #include "get_param.hpp"
18 #include "get_printable_param.hpp"
19 #include "print_class_defn.hpp"
20 #include "print_defn.hpp"
21 #include "print_doc.hpp"
24 #include "import_decl.hpp"
25 
26 namespace mlpack {
27 namespace bindings {
28 namespace python {
29 
30 // Defined in mlpack_main.hpp.
31 extern std::string programName;
32 
36 template<typename T>
37 class PyOption
38 {
39  public:
45  PyOption(const T defaultValue,
46  const std::string& identifier,
47  const std::string& description,
48  const std::string& alias,
49  const std::string& cppName,
50  const bool required = false,
51  const bool input = true,
52  const bool noTranspose = false,
53  const std::string& /*testName*/ = "")
54  {
55  // Create the ParamData object to give to IO.
56  util::ParamData data;
57 
58  data.desc = description;
59  data.name = identifier;
60  data.tname = TYPENAME(T);
61  data.alias = alias[0];
62  data.wasPassed = false;
63  data.noTranspose = noTranspose;
64  data.required = required;
65  data.input = input;
66  data.loaded = false;
67  // Only "verbose" and "copy_all_inputs" will be persistent.
68  if (identifier == "verbose" || identifier == "copy_all_inputs")
69  data.persistent = true;
70  else
71  data.persistent = false;
72  data.cppType = cppName;
73 
74  // Every parameter we'll get from Python will have the correct type.
75  data.value = boost::any(defaultValue);
76 
77  // Restore the parameters for this program.
78  if (identifier != "verbose" && identifier != "copy_all_inputs")
79  IO::RestoreSettings(programName, false);
80 
81  // Set the function pointers that we'll need. All of these function
82  // pointers will be used by both the program that generates the pyx, and
83  // also the binding itself. (The binding itself will only use GetParam,
84  // GetPrintableParam, and GetRawParam.)
85  IO::GetSingleton().functionMap[data.tname]["GetParam"] = &GetParam;
86  IO::GetSingleton().functionMap[data.tname]["GetPrintableParam"] =
87  &GetPrintableParam;
88 
89  IO::GetSingleton().functionMap[data.tname]["DefaultParam"] =
90  &DefaultParam;
91 
92  // These are used by the pyx generator.
93  IO::GetSingleton().functionMap[data.tname]["PrintClassDefn"] =
94  &PrintClassDefn;
95  IO::GetSingleton().functionMap[data.tname]["PrintDefn"] = &PrintDefn;
96  IO::GetSingleton().functionMap[data.tname]["PrintDoc"] = &PrintDoc;
97  IO::GetSingleton().functionMap[data.tname]["PrintOutputProcessing"] =
98  &PrintOutputProcessing;
99  IO::GetSingleton().functionMap[data.tname]["PrintInputProcessing"] =
100  &PrintInputProcessing;
101  IO::GetSingleton().functionMap[data.tname]["ImportDecl"] = &ImportDecl;
102 
103  // Add the ParamData object, then store. This is necessary because we may
104  // import more than one .so that uses IO, so we have to keep the options
105  // separate. programName is a global variable from mlpack_main.hpp.
106  IO::Add(std::move(data));
107  if (identifier != "verbose" && identifier != "copy_all_inputs")
108  IO::StoreSettings(programName);
110  }
111 };
112 
113 } // namespace python
114 } // namespace bindings
115 } // namespace mlpack
116 
117 #endif
boost::any value
The actual value that is held.
Definition: param_data.hpp:82
Linear algebra utility functions, generally performed on matrices or vectors.
bool wasPassed
True if the option was passed to the program.
Definition: param_data.hpp:66
bool persistent
If this should be preserved across different settings (i.e.
Definition: param_data.hpp:79
static void StoreSettings(const std::string &name)
Take all parameters and function mappings and store them, under the given name.
static void Add(util::ParamData &&d)
Adds a parameter to the hierarchy; use the PARAM_*() macros instead of this (i.e. ...
std::string desc
Description of this parameter, if any.
Definition: param_data.hpp:58
static void RestoreSettings(const std::string &name, const bool fatal=true)
Restore all of the parameters and function mappings of the given name, if they exist.
bool input
True if this option is an input option (otherwise, it is output).
Definition: param_data.hpp:73
The Python option class.
Definition: py_option.hpp:37
python
Definition: CMakeLists.txt:6
This structure holds all of the information about a single parameter, including its value (which is s...
Definition: param_data.hpp:52
bool loaded
If this is an input parameter that needs extra loading, this indicates whether or not it has been loa...
Definition: param_data.hpp:76
#define TYPENAME(x)
The TYPENAME macro is used internally to convert a type into a string.
Definition: param_data.hpp:22
static IO & GetSingleton()
Retrieve the singleton.
char alias
Alias for this parameter.
Definition: param_data.hpp:63
std::string tname
Type information of this parameter.
Definition: param_data.hpp:61
static void ClearSettings()
Clear all of the settings, removing all parameters and function mappings.
std::string name
Name of this parameter.
Definition: param_data.hpp:56
bool required
True if this option is required.
Definition: param_data.hpp:71
FunctionMapType functionMap
Definition: io.hpp:299
PyOption(const T defaultValue, const std::string &identifier, const std::string &description, const std::string &alias, const std::string &cppName, const bool required=false, const bool input=true, const bool noTranspose=false, const std::string &="")
Construct a PyOption object.
Definition: py_option.hpp:45
std::string cppType
The true name of the type, as it would be written in C++.
Definition: param_data.hpp:84
bool noTranspose
True if this is a matrix that should not be transposed.
Definition: param_data.hpp:69