package_builder.create() - Code Metrics - Inspection of "[.] Merge '0.8.dev' branch." - annoviko/pyclustering - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Push — master ( a74470...c8bc69 )

by Andrei

created 2018-02-03 15:09 UTC

package_builder.create() A

↳ Parent: package_builder

Complexity

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cc	1
dl	0
loc	8
rs	9.4285
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"""!

@brief Pyclustering package that is used to exchange between python core and 'ccore'.

@authors Andrei Novikov ([email protected])
@date 2014-2018
@copyright GNU Public License

@cond GNU_PUBLIC_LICENSE
    PyClustering is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.
    
    PyClustering is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.
    
    You should have received a copy of the GNU General Public License
    along with this program.  If not, see <http://www.gnu.org/licenses/>.
@endcond

"""



from ctypes import *;


import collections;
import numpy;
# .scrutinizer.yml
before_commands:
    - sudo pip install abc # Python2
    - sudo pip3 install abc # Python3



class pyclustering_package(Structure):
    """!
    @brief pyclustering_package description in memory.
    @details Represents following C++ structure:
    
            typedef struct pyclustering_package {
                std::size_t      size;
                unsigned int     type;
                void *           data;
            }
    """
    
    _fields_ = [ ("size", c_size_t),
                 ("type", c_uint),
                 ("data", POINTER(c_void_p)) ];



class pyclustering_type_data:
    """!
    @brief Contains constants that defines type of package.
    
    """
    
    PYCLUSTERING_TYPE_INT               = 0x00;
    PYCLUSTERING_TYPE_UNSIGNED_INT      = 0x01;
    PYCLUSTERING_TYPE_FLOAT             = 0x02;
    PYCLUSTERING_TYPE_DOUBLE            = 0x03;
    PYCLUSTERING_TYPE_LONG              = 0x04;
    PYCLUSTERING_TYPE_UNSIGNED_LONG     = 0x05;
    PYCLUSTERING_TYPE_LIST              = 0x06;
    PYCLUSTERING_TYPE_SIZE_T            = 0x07;
    PYCLUSTERING_TYPE_UNDEFINED         = 0x08;

    __CTYPE_PYCLUSTERING_MAP = { 
        c_int                           : PYCLUSTERING_TYPE_INT,
        c_uint                          : PYCLUSTERING_TYPE_UNSIGNED_INT,
        c_float                         : PYCLUSTERING_TYPE_FLOAT,
        c_double                        : PYCLUSTERING_TYPE_DOUBLE,
        c_long                          : PYCLUSTERING_TYPE_LONG,
        c_ulong                         : PYCLUSTERING_TYPE_UNSIGNED_LONG,
        POINTER(pyclustering_package)   : PYCLUSTERING_TYPE_LIST,
        c_size_t                        : PYCLUSTERING_TYPE_SIZE_T,
        None                            : PYCLUSTERING_TYPE_UNDEFINED
    }

    __PYCLUSTERING_CTYPE_MAP = {
        PYCLUSTERING_TYPE_INT             : c_int,
        PYCLUSTERING_TYPE_UNSIGNED_INT    : c_uint,
        PYCLUSTERING_TYPE_FLOAT           : c_float,
        PYCLUSTERING_TYPE_DOUBLE          : c_double,
        PYCLUSTERING_TYPE_LONG            : c_long,
        PYCLUSTERING_TYPE_UNSIGNED_LONG   : c_ulong,
        PYCLUSTERING_TYPE_LIST            : POINTER(pyclustering_package),
        PYCLUSTERING_TYPE_SIZE_T          : c_size_t,
        PYCLUSTERING_TYPE_UNDEFINED       : None
    }

    @staticmethod
    def get_ctype(pyclustering_package_type):
        """!
        @return (ctype) Return ctype that corresponds to pyclustering type data.
        
        """
        return pyclustering_type_data.__PYCLUSTERING_CTYPE_MAP[pyclustering_package_type];

    @staticmethod
    def get_pyclustering_type(data_ctype):
        """!
        @return (unit) Return pyclustering data type that corresponds to ctype.
        
        """
        return pyclustering_type_data.__CTYPE_PYCLUSTERING_MAP[data_ctype];


class package_builder:
    """!
    @brief Package builder provides service to create 'pyclustering_package' from data that is stored in 'list' container.

    """
    def __init__(self, dataset, c_data_type):
        """!
        @brief Initialize package builder object by dataset.
        
        @param[in] dataset (list): Data that should be packed in 'pyclustering_package'.
        @param[in] c_data_type (ctype.type): If specified than specified data type is used for data storing in package. 
        
        """
        self.__dataset = dataset;
        self.__c_data_type = c_data_type;


    def create(self):
        """!
        @brief Performs packing procedure of the data to the package.
        
        @return (pointer) ctype-pointer to pyclustering package.
        
        """
        return self.__create_package(self.__dataset);


    def __is_container_type(self, value):
        return isinstance(value, collections.Iterable);


    def __get_type(self, pyclustering_data_type):
        if (self.__c_data_type is None):
            return pyclustering_data_type;
        
        return self.__c_data_type;


    def __create_package(self, dataset):
        dataset_package = pyclustering_package();
        
        if (isinstance(dataset, numpy.matrix)):
            return self.__create_package_numpy_matrix(dataset_package, dataset);
        
        dataset_package.size = len(dataset);
    
        if (len(dataset) == 0):
            dataset_package.type = pyclustering_type_data.PYCLUSTERING_TYPE_UNDEFINED;
            dataset_package.data = None;
    
            return pointer(dataset_package);
    
        c_data_type = self.__fill_type(dataset_package, dataset);
        self.__fill_data(dataset_package, c_data_type, dataset);
        
        return pointer(dataset_package);


    def __fill_dataset_type(self, dataset_package, dataset):
        if (self.__is_container_type(dataset[0])):
            dataset_package.type = pyclustering_type_data.PYCLUSTERING_TYPE_LIST;
        
        elif (isinstance(dataset[0], int)):
            dataset_package.type = pyclustering_type_data.PYCLUSTERING_TYPE_LONG;
        
        elif (isinstance(dataset[0], float)):
            dataset_package.type = pyclustering_type_data.PYCLUSTERING_TYPE_DOUBLE;
        
        else:
            raise NameError("Not supported type of pyclustering package.");
        
        return pyclustering_type_data.get_ctype(dataset_package.type);


    def __fill_specify_type(self, dataset_package):
        dataset_package.type = pyclustering_type_data.get_pyclustering_type(self.__c_data_type);
        return self.__c_data_type;


    def __fill_type(self, dataset_package, dataset):
        if (self.__is_container_type(dataset[0])):
            dataset_package.type = pyclustering_type_data.PYCLUSTERING_TYPE_LIST;
            return None;
        
        if (self.__c_data_type is None):
            return self.__fill_dataset_type(dataset_package, dataset);
        
        return self.__fill_specify_type(dataset_package);


    def __fill_data(self, dataset_package, c_data_type, dataset):
        if (dataset_package.type == pyclustering_type_data.PYCLUSTERING_TYPE_LIST):
            package_data = (POINTER(pyclustering_package) * len(dataset))();
            for index in range(len(dataset)):
                package_data[index] = self.__create_package(dataset[index]);
            
            dataset_package.data = cast(package_data, POINTER(c_void_p));
        else:
            array_object = (c_data_type * len(dataset))(*dataset);
            dataset_package.data = cast(array_object, POINTER(c_void_p));


    def __create_package_numpy_matrix(self, dataset_package, dataset):
        (rows, cols) = dataset.shape;
        
        dataset_package.size = rows;
        dataset_package.type = pyclustering_type_data.PYCLUSTERING_TYPE_LIST;
        
        package_data = (POINTER(pyclustering_package) * rows)();
        for row_index in range(rows):
            array_package = pyclustering_package();
            array_package.size = cols;
            array_package.type = pyclustering_type_data.get_pyclustering_type(self.__c_data_type);
            
            array_object = (self.__c_data_type * cols)();
            for col_index in range(cols):
                array_object[col_index] = self.__c_data_type(dataset[row_index, col_index]);
        
            array_package.data = cast(array_object, POINTER(c_void_p));
            package_data[row_index] = pointer(array_package);
            
        dataset_package.data = cast(package_data, POINTER(c_void_p));
        return pointer(dataset_package);



class package_extractor:
    """!
    @brief Package extractor provides servies to unpack pyclustering package.
    
    """
    def __init__(self, package_pointer):
        """!
        @brief Initialize package extractor object by ctype-pointer to 'pyclustering_package'.
        
        @param[in] package_pointer (pointer): ctype-pointer to 'pyclustering_package' that should be used for unpacking.
        
        """
        self.__package_pointer = package_pointer;


    def extract(self):
        """!
        @brief Performs unpacking procedure of the pyclustering package to the data.
        
        @return (list) Extracted data from the pyclustering package.
        
        """
        return self.__extract_data(self.__package_pointer);


    def __extract_data(self, ccore_package_pointer):
        if (ccore_package_pointer == 0):
            return [];
        
        pointer_package = cast(ccore_package_pointer, POINTER(pyclustering_package));
        return self.__unpack_pointer_data(pointer_package);
    
    
    def __unpack_data(self, pointer_package, pointer_data, type_package):
        result = [];
        
        for index in range(0, pointer_package[0].size):
            if (type_package == pyclustering_type_data.PYCLUSTERING_TYPE_LIST):
                pointer_package = cast(pointer_data[index], (POINTER(pyclustering_package)));
                result.append(self.__extract_data(pointer_package));
            
            else:
                result.append(pointer_data[index]);
        
        return result;


    def __unpack_pointer_data(self, pointer_package):
        type_package = pointer_package[0].type;
        
        if (pointer_package[0].size == 0):
            return [];
        
        pointer_data = cast(pointer_package[0].data, POINTER(pyclustering_type_data.get_ctype(type_package)));
        return self.__unpack_data(pointer_package, pointer_data, type_package);


Push — master ( a74470...c8bc69 )

package_builder.create() A

Complexity

Size

Duplication

Importance

1. Missing Dependencies

2. Missing init.py files

1			"""!
2
3			@brief Pyclustering package that is used to exchange between python core and 'ccore'.
4
5			@authors Andrei Novikov ([email protected])
6			@date 2014-2018
7			@copyright GNU Public License
8
9			@cond GNU_PUBLIC_LICENSE
10			PyClustering is free software: you can redistribute it and/or modify
11			it under the terms of the GNU General Public License as published by
12			the Free Software Foundation, either version 3 of the License, or
13			(at your option) any later version.
14
15			PyClustering is distributed in the hope that it will be useful,
16			but WITHOUT ANY WARRANTY; without even the implied warranty of
17			MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18			GNU General Public License for more details.
19
20			You should have received a copy of the GNU General Public License
21			along with this program. If not, see <http://www.gnu.org/licenses/>.
22			@endcond
23
24			"""
25
26
27
28			from ctypes import *;
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Unused Code introduced 2018-01-20 23:17 UTC by Report Bug Copy Issue Report `WinDLL` was imported with wildcard, but is not used. Loading history... Unused Code introduced 2018-01-20 23:17 UTC by Report Bug Copy Issue Report `WINFUNCTYPE` was imported with wildcard, but is not used. Loading history... Unused Code introduced 2018-01-20 23:17 UTC by Report Bug Copy Issue Report `c_uint8` was imported with wildcard, but is not used. Loading history... Unused Code introduced 2018-01-20 23:17 UTC by Report Bug Copy Issue Report `get_last_error` was imported with wildcard, but is not used. Loading history... Unused Code introduced 2018-01-20 23:17 UTC by Report Bug Copy Issue Report `get_errno` was imported with wildcard, but is not used. Loading history... Unused Code introduced 2018-01-20 23:17 UTC by Report Bug Copy Issue Report `ARRAY` was imported with wildcard, but is not used. Loading history... 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29
30			import collections;
31			import numpy;
			0 ignored issues – show Configuration introduced 2018-01-20 23:17 UTC by Report Bug Copy Issue Report The import `numpy` could not be resolved. This can be caused by one of the following: 1. Missing Dependencies This error could indicate a configuration issue of Pylint. Make sure that your libraries are available by adding the necessary commands. # .scrutinizer.yml before_commands: - sudo pip install abc # Python2 - sudo pip3 install abc # Python3 Tip: We are currently not using virtualenv to run pylint, when installing your modules make sure to use the command for the correct version. 2. Missing __init__.py files This error could also result from missing `__init__.py` files in your module folders. Make sure that you place one file in each sub-folder. Loading history...
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33
34
35			class pyclustering_package(Structure):
36			"""!
37			@brief pyclustering_package description in memory.
38			@details Represents following C++ structure:

annoviko / pyclustering

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package_builder.create() A

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2. Missing __init__.py files

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2. Missing init.py files