Ejemplo n.º 1
0
def dbstr_qindex(qindex_=None):
    qindex = ut.get_localvar_from_stack('qindex')
    common_wxs = ut.get_localvar_from_stack('common_wxs')
    wx2_qaids = ut.get_localvar_from_stack('wx2_qaids')
    qindex.query_sccw
    qmaws_list = [qindex.wx2_maws[wx] for wx in common_wxs]
    qaids_list = [qindex.wx2_qaids[wx] for wx in common_wxs]
    qfxs_list = [qindex.wx2_qfxs[wx] for wx in common_wxs]
    qrvecs_list = [qindex.wx2_qrvecs[wx] for wx in common_wxs]
    qaids_list = [wx2_qaids[wx] for wx in common_wxs]
    print('-- max --')
    print('list_depth(qaids_list) = %d' % ut.list_depth(qaids_list, max))
    print('list_depth(qmaws_list) = %d' % ut.list_depth(qmaws_list, max))
    print('list_depth(qfxs_list) = %d' % ut.list_depth(qfxs_list, max))
    print('list_depth(qrvecs_list) = %d' % ut.list_depth(qrvecs_list, max))
    print('-- min --')
    print('list_depth(qaids_list) = %d' % ut.list_depth(qaids_list, min))
    print('list_depth(qmaws_list) = %d' % ut.list_depth(qmaws_list, min))
    print('list_depth(qfxs_list) = %d' % ut.list_depth(qfxs_list, min))
    print('list_depth(qrvecs_list) = %d' % ut.list_depth(qrvecs_list, min))
    print('-- sig --')
    print('list_depth(qaids_list) = %r' % ut.depth_profile(qaids_list))
    print('list_depth(qmaws_list) = %r' % ut.depth_profile(qmaws_list))
    print('list_depth(qfxs_list) = %r' % ut.depth_profile(qfxs_list))
    print('list_depth(qrvecs_list) = %r' %
          ut.depth_profile(ut.depth_profile(qrvecs_list)))
    print(qfxs_list[0:3])
    print(qaids_list[0:3])
    print(qmaws_list[0:3])
Ejemplo n.º 2
0
def dbstr_qindex(qindex_=None):
    qindex = ut.get_localvar_from_stack('qindex')
    common_wxs = ut.get_localvar_from_stack('common_wxs')
    wx2_qaids = ut.get_localvar_from_stack('wx2_qaids')
    qindex.query_sccw
    qmaws_list  = [qindex.wx2_maws[wx] for wx in common_wxs]
    qaids_list  = [qindex.wx2_qaids[wx] for wx in common_wxs]
    qfxs_list   = [qindex.wx2_qfxs[wx] for wx in common_wxs]
    qrvecs_list = [qindex.wx2_qrvecs[wx] for wx in common_wxs]
    qaids_list  = [wx2_qaids[wx] for wx in common_wxs]
    print('-- max --')
    print('list_depth(qaids_list) = %d' % ut.list_depth(qaids_list, max))
    print('list_depth(qmaws_list) = %d' % ut.list_depth(qmaws_list, max))
    print('list_depth(qfxs_list) = %d' % ut.list_depth(qfxs_list, max))
    print('list_depth(qrvecs_list) = %d' % ut.list_depth(qrvecs_list, max))
    print('-- min --')
    print('list_depth(qaids_list) = %d' % ut.list_depth(qaids_list, min))
    print('list_depth(qmaws_list) = %d' % ut.list_depth(qmaws_list, min))
    print('list_depth(qfxs_list) = %d' % ut.list_depth(qfxs_list, min))
    print('list_depth(qrvecs_list) = %d' % ut.list_depth(qrvecs_list, min))
    print('-- sig --')
    print('list_depth(qaids_list) = %r' % ut.depth_profile(qaids_list))
    print('list_depth(qmaws_list) = %r' % ut.depth_profile(qmaws_list))
    print('list_depth(qfxs_list) = %r' % ut.depth_profile(qfxs_list))
    print('list_depth(qrvecs_list) = %r' % ut.depth_profile(ut.depth_profile(qrvecs_list)))
    print(qfxs_list[0:3])
    print(qaids_list[0:3])
    print(qmaws_list[0:3])
Ejemplo n.º 3
0
def dictinfo(dict_):
    if not isinstance(dict_, dict):
        return 'expected dict got %r' % type(dict_)

    keys = list(dict_.keys())
    vals = list(dict_.values())
    num_keys = len(keys)
    key_types = list(set(map(type, keys)))
    val_types = list(set(map(type, vals)))

    fmtstr_ = '\n' + ut.unindent('''
    * num_keys  = {num_keys}
    * key_types = {key_types}
    * val_types = {val_types}
    '''.strip('\n'))

    if len(val_types) == 1:
        if val_types[0] == np.ndarray:
            # each key holds an ndarray
            val_shape_stats = ut.get_stats(set(map(np.shape, vals)), axis=0)
            val_shape_stats_str = ut.dict_str(val_shape_stats,
                                              strvals=True,
                                              newlines=False)
            val_dtypes = list(set([val.dtype for val in vals]))
            fmtstr_ += ut.unindent('''
            * val_shape_stats = {val_shape_stats_str}
            * val_dtypes = {val_dtypes}
            '''.strip('\n'))
        elif val_types[0] == list:
            # each key holds a list
            val_len_stats = ut.get_stats(set(map(len, vals)))
            val_len_stats_str = ut.dict_str(val_len_stats,
                                            strvals=True,
                                            newlines=False)
            depth = ut.list_depth(vals)
            deep_val_types = list(set(ut.list_deep_types(vals)))
            fmtstr_ += ut.unindent('''
            * list_depth = {depth}
            * val_len_stats = {val_len_stats_str}
            * deep_types = {deep_val_types}
            '''.strip('\n'))
            if len(deep_val_types) == 1:
                if deep_val_types[0] == np.ndarray:
                    deep_val_dtypes = list(set([val.dtype for val in vals]))
                    fmtstr_ += ut.unindent('''
                    * deep_val_dtypes = {deep_val_dtypes}
                    ''').strip('\n')
        elif val_types[0] in [
                np.uint8, np.int8, np.int32, np.int64, np.float16, np.float32,
                np.float64
        ]:
            # each key holds a scalar
            val_stats = ut.get_stats(vals)
            fmtstr_ += ut.unindent('''
            * val_stats = {val_stats}
            ''').strip('\n')

    fmtstr = fmtstr_.format(**locals())
    return ut.indent(fmtstr)
Ejemplo n.º 4
0
def dictinfo(dict_):
    if not isinstance(dict_, dict):
        return 'expected dict got %r' % type(dict_)

    keys = list(dict_.keys())
    vals = list(dict_.values())
    num_keys  = len(keys)
    key_types = list(set(map(type, keys)))
    val_types = list(set(map(type, vals)))

    fmtstr_ = '\n' + ut.unindent('''
    * num_keys  = {num_keys}
    * key_types = {key_types}
    * val_types = {val_types}
    '''.strip('\n'))

    if len(val_types) == 1:
        if val_types[0] == np.ndarray:
            # each key holds an ndarray
            val_shape_stats = ut.get_stats(set(map(np.shape, vals)), axis=0)
            val_shape_stats_str = ut.dict_str(val_shape_stats, strvals=True, newlines=False)
            val_dtypes = list(set([val.dtype for val in vals]))
            fmtstr_ += ut.unindent('''
            * val_shape_stats = {val_shape_stats_str}
            * val_dtypes = {val_dtypes}
            '''.strip('\n'))
        elif val_types[0] == list:
            # each key holds a list
            val_len_stats =  ut.get_stats(set(map(len, vals)))
            val_len_stats_str = ut.dict_str(val_len_stats, strvals=True, newlines=False)
            depth = ut.list_depth(vals)
            deep_val_types = list(set(ut.list_deep_types(vals)))
            fmtstr_ += ut.unindent('''
            * list_depth = {depth}
            * val_len_stats = {val_len_stats_str}
            * deep_types = {deep_val_types}
            '''.strip('\n'))
            if len(deep_val_types) == 1:
                if deep_val_types[0] == np.ndarray:
                    deep_val_dtypes = list(set([val.dtype for val in vals]))
                    fmtstr_ += ut.unindent('''
                    * deep_val_dtypes = {deep_val_dtypes}
                    ''').strip('\n')
        elif val_types[0] in [np.uint8, np.int8, np.int32, np.int64, np.float16, np.float32, np.float64]:
            # each key holds a scalar
            val_stats = ut.get_stats(vals)
            fmtstr_ += ut.unindent('''
            * val_stats = {val_stats}
            ''').strip('\n')

    fmtstr = fmtstr_.format(**locals())
    return ut.indent(fmtstr)