delete src/mesh/assimp-master

1 files changed, 0 insertions, 283 deletions

diff --git a/src/mesh/assimp-master/port/PyAssimp/pyassimp/helper.py b/src/mesh/assimp-master/port/PyAssimp/pyassimp/helper.py
deleted file mode 100644
index 7c14f60..0000000
--- a/src/mesh/assimp-master/port/PyAssimp/pyassimp/helper.py
+++ /dev/null
@@ -1,283 +0,0 @@
-#-*- coding: UTF-8 -*-
-
-"""
-Some fancy helper functions.
-"""
-
-import os
-import ctypes
-import operator
-
-from distutils.sysconfig import get_python_lib
-import re
-import sys
-
-try: import numpy
-except ImportError: numpy = None
-
-import logging;logger = logging.getLogger("pyassimp")
-
-from .errors import AssimpError
-
-additional_dirs, ext_whitelist = [],[]
-
-# populate search directories and lists of allowed file extensions
-# depending on the platform we're running on.
-if os.name=='posix':
-    additional_dirs.append('./')
-    additional_dirs.append('/usr/lib/')
-    additional_dirs.append('/usr/lib/x86_64-linux-gnu/')
-    additional_dirs.append('/usr/lib/aarch64-linux-gnu/')
-    additional_dirs.append('/usr/local/lib/')
-
-    if 'LD_LIBRARY_PATH' in os.environ:
-        additional_dirs.extend([item for item in os.environ['LD_LIBRARY_PATH'].split(':') if item])
-
-    # check if running from anaconda.
-    anaconda_keywords = ("conda", "continuum")
-    if any(k in sys.version.lower() for k in anaconda_keywords):
-      cur_path = get_python_lib()
-      pattern = re.compile('.*\/lib\/')
-      conda_lib = pattern.match(cur_path).group()
-      logger.info("Adding Anaconda lib path:"+ conda_lib)
-      additional_dirs.append(conda_lib)
-
-    # note - this won't catch libassimp.so.N.n, but
-    # currently there's always a symlink called
-    # libassimp.so in /usr/local/lib.
-    ext_whitelist.append('.so')
-    # libassimp.dylib in /usr/local/lib
-    ext_whitelist.append('.dylib')
-
-elif os.name=='nt':
-    ext_whitelist.append('.dll')
-    path_dirs = os.environ['PATH'].split(';')
-    additional_dirs.extend(path_dirs)
-
-def vec2tuple(x):
-    """ Converts a VECTOR3D to a Tuple """
-    return (x.x, x.y, x.z)
-
-def transform(vector3, matrix4x4):
-    """ Apply a transformation matrix on a 3D vector.
-
-    :param vector3: array with 3 elements
-    :param matrix4x4: 4x4 matrix
-    """
-    if numpy:
-        return numpy.dot(matrix4x4, numpy.append(vector3, 1.))
-    else:
-        m0,m1,m2,m3 = matrix4x4; x,y,z = vector3
-        return [
-            m0[0]*x + m0[1]*y + m0[2]*z + m0[3],
-            m1[0]*x + m1[1]*y + m1[2]*z + m1[3],
-            m2[0]*x + m2[1]*y + m2[2]*z + m2[3],
-            m3[0]*x + m3[1]*y + m3[2]*z + m3[3]
-            ]
-
-def _inv(matrix4x4):
-    m0,m1,m2,m3 = matrix4x4
-
-    det  =  m0[3]*m1[2]*m2[1]*m3[0] - m0[2]*m1[3]*m2[1]*m3[0] - \
-            m0[3]*m1[1]*m2[2]*m3[0] + m0[1]*m1[3]*m2[2]*m3[0] + \
-            m0[2]*m1[1]*m2[3]*m3[0] - m0[1]*m1[2]*m2[3]*m3[0] - \
-            m0[3]*m1[2]*m2[0]*m3[1] + m0[2]*m1[3]*m2[0]*m3[1] + \
-            m0[3]*m1[0]*m2[2]*m3[1] - m0[0]*m1[3]*m2[2]*m3[1] - \
-            m0[2]*m1[0]*m2[3]*m3[1] + m0[0]*m1[2]*m2[3]*m3[1] + \
-            m0[3]*m1[1]*m2[0]*m3[2] - m0[1]*m1[3]*m2[0]*m3[2] - \
-            m0[3]*m1[0]*m2[1]*m3[2] + m0[0]*m1[3]*m2[1]*m3[2] + \
-            m0[1]*m1[0]*m2[3]*m3[2] - m0[0]*m1[1]*m2[3]*m3[2] - \
-            m0[2]*m1[1]*m2[0]*m3[3] + m0[1]*m1[2]*m2[0]*m3[3] + \
-            m0[2]*m1[0]*m2[1]*m3[3] - m0[0]*m1[2]*m2[1]*m3[3] - \
-            m0[1]*m1[0]*m2[2]*m3[3] + m0[0]*m1[1]*m2[2]*m3[3]
-
-    return[[( m1[2]*m2[3]*m3[1] - m1[3]*m2[2]*m3[1] + m1[3]*m2[1]*m3[2] - m1[1]*m2[3]*m3[2] - m1[2]*m2[1]*m3[3] + m1[1]*m2[2]*m3[3]) /det,
-            ( m0[3]*m2[2]*m3[1] - m0[2]*m2[3]*m3[1] - m0[3]*m2[1]*m3[2] + m0[1]*m2[3]*m3[2] + m0[2]*m2[1]*m3[3] - m0[1]*m2[2]*m3[3]) /det,
-            ( m0[2]*m1[3]*m3[1] - m0[3]*m1[2]*m3[1] + m0[3]*m1[1]*m3[2] - m0[1]*m1[3]*m3[2] - m0[2]*m1[1]*m3[3] + m0[1]*m1[2]*m3[3]) /det,
-            ( m0[3]*m1[2]*m2[1] - m0[2]*m1[3]*m2[1] - m0[3]*m1[1]*m2[2] + m0[1]*m1[3]*m2[2] + m0[2]*m1[1]*m2[3] - m0[1]*m1[2]*m2[3]) /det],
-           [( m1[3]*m2[2]*m3[0] - m1[2]*m2[3]*m3[0] - m1[3]*m2[0]*m3[2] + m1[0]*m2[3]*m3[2] + m1[2]*m2[0]*m3[3] - m1[0]*m2[2]*m3[3]) /det,
-            ( m0[2]*m2[3]*m3[0] - m0[3]*m2[2]*m3[0] + m0[3]*m2[0]*m3[2] - m0[0]*m2[3]*m3[2] - m0[2]*m2[0]*m3[3] + m0[0]*m2[2]*m3[3]) /det,
-            ( m0[3]*m1[2]*m3[0] - m0[2]*m1[3]*m3[0] - m0[3]*m1[0]*m3[2] + m0[0]*m1[3]*m3[2] + m0[2]*m1[0]*m3[3] - m0[0]*m1[2]*m3[3]) /det,
-            ( m0[2]*m1[3]*m2[0] - m0[3]*m1[2]*m2[0] + m0[3]*m1[0]*m2[2] - m0[0]*m1[3]*m2[2] - m0[2]*m1[0]*m2[3] + m0[0]*m1[2]*m2[3]) /det],
-           [( m1[1]*m2[3]*m3[0] - m1[3]*m2[1]*m3[0] + m1[3]*m2[0]*m3[1] - m1[0]*m2[3]*m3[1] - m1[1]*m2[0]*m3[3] + m1[0]*m2[1]*m3[3]) /det,
-            ( m0[3]*m2[1]*m3[0] - m0[1]*m2[3]*m3[0] - m0[3]*m2[0]*m3[1] + m0[0]*m2[3]*m3[1] + m0[1]*m2[0]*m3[3] - m0[0]*m2[1]*m3[3]) /det,
-            ( m0[1]*m1[3]*m3[0] - m0[3]*m1[1]*m3[0] + m0[3]*m1[0]*m3[1] - m0[0]*m1[3]*m3[1] - m0[1]*m1[0]*m3[3] + m0[0]*m1[1]*m3[3]) /det,
-            ( m0[3]*m1[1]*m2[0] - m0[1]*m1[3]*m2[0] - m0[3]*m1[0]*m2[1] + m0[0]*m1[3]*m2[1] + m0[1]*m1[0]*m2[3] - m0[0]*m1[1]*m2[3]) /det],
-           [( m1[2]*m2[1]*m3[0] - m1[1]*m2[2]*m3[0] - m1[2]*m2[0]*m3[1] + m1[0]*m2[2]*m3[1] + m1[1]*m2[0]*m3[2] - m1[0]*m2[1]*m3[2]) /det,
-            ( m0[1]*m2[2]*m3[0] - m0[2]*m2[1]*m3[0] + m0[2]*m2[0]*m3[1] - m0[0]*m2[2]*m3[1] - m0[1]*m2[0]*m3[2] + m0[0]*m2[1]*m3[2]) /det,
-            ( m0[2]*m1[1]*m3[0] - m0[1]*m1[2]*m3[0] - m0[2]*m1[0]*m3[1] + m0[0]*m1[2]*m3[1] + m0[1]*m1[0]*m3[2] - m0[0]*m1[1]*m3[2]) /det,
-            ( m0[1]*m1[2]*m2[0] - m0[2]*m1[1]*m2[0] + m0[2]*m1[0]*m2[1] - m0[0]*m1[2]*m2[1] - m0[1]*m1[0]*m2[2] + m0[0]*m1[1]*m2[2]) /det]]
-
-def get_bounding_box(scene):
-    bb_min = [1e10, 1e10, 1e10] # x,y,z
-    bb_max = [-1e10, -1e10, -1e10] # x,y,z
-    inv = numpy.linalg.inv if numpy else _inv
-    return get_bounding_box_for_node(scene.rootnode, bb_min, bb_max, inv(scene.rootnode.transformation))
-
-def get_bounding_box_for_node(node, bb_min, bb_max, transformation):
-
-    if numpy:
-        transformation = numpy.dot(transformation, node.transformation)
-    else:
-        t0,t1,t2,t3 = transformation
-        T0,T1,T2,T3 = node.transformation
-        transformation = [ [
-                t0[0]*T0[0] + t0[1]*T1[0] + t0[2]*T2[0] + t0[3]*T3[0],
-                t0[0]*T0[1] + t0[1]*T1[1] + t0[2]*T2[1] + t0[3]*T3[1],
-                t0[0]*T0[2] + t0[1]*T1[2] + t0[2]*T2[2] + t0[3]*T3[2],
-                t0[0]*T0[3] + t0[1]*T1[3] + t0[2]*T2[3] + t0[3]*T3[3]
-            ],[
-                t1[0]*T0[0] + t1[1]*T1[0] + t1[2]*T2[0] + t1[3]*T3[0],
-                t1[0]*T0[1] + t1[1]*T1[1] + t1[2]*T2[1] + t1[3]*T3[1],
-                t1[0]*T0[2] + t1[1]*T1[2] + t1[2]*T2[2] + t1[3]*T3[2],
-                t1[0]*T0[3] + t1[1]*T1[3] + t1[2]*T2[3] + t1[3]*T3[3]
-            ],[
-                t2[0]*T0[0] + t2[1]*T1[0] + t2[2]*T2[0] + t2[3]*T3[0],
-                t2[0]*T0[1] + t2[1]*T1[1] + t2[2]*T2[1] + t2[3]*T3[1],
-                t2[0]*T0[2] + t2[1]*T1[2] + t2[2]*T2[2] + t2[3]*T3[2],
-                t2[0]*T0[3] + t2[1]*T1[3] + t2[2]*T2[3] + t2[3]*T3[3]
-            ],[
-                t3[0]*T0[0] + t3[1]*T1[0] + t3[2]*T2[0] + t3[3]*T3[0],
-                t3[0]*T0[1] + t3[1]*T1[1] + t3[2]*T2[1] + t3[3]*T3[1],
-                t3[0]*T0[2] + t3[1]*T1[2] + t3[2]*T2[2] + t3[3]*T3[2],
-                t3[0]*T0[3] + t3[1]*T1[3] + t3[2]*T2[3] + t3[3]*T3[3]
-            ] ]
-
-    for mesh in node.meshes:
-        for v in mesh.vertices:
-            v = transform(v, transformation)
-            bb_min[0] = min(bb_min[0], v[0])
-            bb_min[1] = min(bb_min[1], v[1])
-            bb_min[2] = min(bb_min[2], v[2])
-            bb_max[0] = max(bb_max[0], v[0])
-            bb_max[1] = max(bb_max[1], v[1])
-            bb_max[2] = max(bb_max[2], v[2])
-
-
-    for child in node.children:
-        bb_min, bb_max = get_bounding_box_for_node(child, bb_min, bb_max, transformation)
-
-    return bb_min, bb_max
-
-def try_load_functions(library_path, dll):
-    '''
-    Try to bind to aiImportFile and aiReleaseImport
-
-    Arguments
-    ---------
-    library_path: path to current lib
-    dll:          ctypes handle to library
-
-    Returns
-    ---------
-    If unsuccessful:
-        None
-    If successful:
-        Tuple containing (library_path,
-                          load from filename function,
-                          load from memory function,
-                          export to filename function,
-                          export to blob function,
-                          release function,
-                          ctypes handle to assimp library)
-    '''
-
-    try:
-        load     = dll.aiImportFile
-        release  = dll.aiReleaseImport
-        load_mem = dll.aiImportFileFromMemory
-        export   = dll.aiExportScene
-        export2blob = dll.aiExportSceneToBlob
-    except AttributeError:
-        #OK, this is a library, but it doesn't have the functions we need
-        return None
-
-    # library found!
-    from .structs import Scene, ExportDataBlob
-    load.restype = ctypes.POINTER(Scene)
-    load_mem.restype = ctypes.POINTER(Scene)
-    export2blob.restype = ctypes.POINTER(ExportDataBlob)
-    return (library_path, load, load_mem, export, export2blob, release, dll)
-
-def search_library():
-    '''
-    Loads the assimp library.
-    Throws exception AssimpError if no library_path is found
-
-    Returns: tuple, (load from filename function,
-                     load from memory function,
-                     export to filename function,
-                     export to blob function,
-                     release function,
-                     dll)
-    '''
-    #this path
-    folder = os.path.dirname(__file__)
-
-    # silence 'DLL not found' message boxes on win
-    try:
-        ctypes.windll.kernel32.SetErrorMode(0x8007)
-    except AttributeError:
-        pass
-
-    candidates = []
-    # test every file
-    for curfolder in [folder]+additional_dirs:
-        if os.path.isdir(curfolder):
-            for filename in os.listdir(curfolder):
-                # our minimum requirement for candidates is that
-                # they should contain 'assimp' somewhere in
-                # their name                                  
-                if filename.lower().find('assimp')==-1 : 
-                    continue
-                is_out=1
-                for et in ext_whitelist:
-                  if et in filename.lower():
-                    is_out=0
-                    break
-                if is_out:
-                  continue
-                
-                library_path = os.path.join(curfolder, filename)
-                logger.debug('Try ' + library_path)
-                try:
-                    dll = ctypes.cdll.LoadLibrary(library_path)
-                except Exception as e:
-                    logger.warning(str(e))
-                    # OK, this except is evil. But different OSs will throw different
-                    # errors. So just ignore any errors.
-                    continue
-                # see if the functions we need are in the dll
-                loaded = try_load_functions(library_path, dll)
-                if loaded: candidates.append(loaded)
-
-    if not candidates:
-        # no library found
-        raise AssimpError("assimp library not found")
-    else:
-        # get the newest library_path
-        candidates = map(lambda x: (os.lstat(x[0])[-2], x), candidates)
-        res = max(candidates, key=operator.itemgetter(0))[1]
-        logger.debug('Using assimp library located at ' + res[0])
-
-        # XXX: if there are 1000 dll/so files containing 'assimp'
-        # in their name, do we have all of them in our address
-        # space now until gc kicks in?
-
-        # XXX: take version postfix of the .so on linux?
-        return res[1:]
-
-def hasattr_silent(object, name):
-    """
-        Calls hasttr() with the given parameters and preserves the legacy (pre-Python 3.2)
-        functionality of silently catching exceptions.
-
-        Returns the result of hasatter() or False if an exception was raised.
-    """
-
-    try:
-        if not object:
-            return False
-        return hasattr(object, name)
-    except AttributeError:
-        return False