def vector_stats(vectors, name, verbose=True):
line_list = []
line_list.append('+--- Vector Stats --')
line_list.append(' * vectors = %r' % name)
key_list = ut.codeblock('''
vectors.shape
vectors.dtype
vectors.max()
vectors.min()
''').split('\n')
strlist_ = ut.parse_locals_keylist(locals(), key_list)
line_list.extend(strlist_)
#line_list.append(vectors)
line_list.append('L--- Vector Stats --')
statstr = '\n'.join(line_list)
if verbose:
print(statstr)
return statstr
def vector_stats(vectors, name, verbose=True):
line_list = []
line_list.append('+--- Vector Stats --')
line_list.append(' * vectors = %r' % name)
key_list = ut.codeblock(
'''
vectors.shape
vectors.dtype
vectors.max()
vectors.min()
'''
).split('\n')
strlist_ = ut.parse_locals_keylist(locals(), key_list)
line_list.extend(strlist_)
#line_list.append(vectors)
line_list.append('L--- Vector Stats --')
statstr = '\n'.join(line_list)
if verbose:
print(statstr)
return statstr
def invindex_dbgstr(invindex):
"""
>>> from ibeis.algo.hots.smk.smk_debug import * # NOQA
>>> ibs, annots_df, daids, qaids, invindex = testdata_raw_internals0()
>>> invindex_dbgstr(invindex)
"""
print('+--- INVINDEX DBGSTR ---')
print('called by %r' % (ut.get_caller_name(),))
locals_ = {'invindex': invindex}
#print(dictinfo(invindex.wx2_fxs))
key_list = [
'invindex.words.shape',
'invindex.words.dtype',
'invindex.daids.dtype',
'invindex.idx2_dvec.shape',
'invindex.idx2_dvec.dtype',
'invindex.idx2_daid.shape',
'invindex.idx2_daid.dtype',
'invindex.idx2_dfx.shape',
(dictinfo, 'invindex.daid2_sccw'),
(dictinfo, 'invindex.wx2_drvecs'),
(dictinfo, 'invindex.wx2_dmaws'),
(dictinfo, 'invindex.wx2_dflags'),
(dictinfo, 'invindex.wx2_idf'),
(dictinfo, 'invindex.wx2_aids'),
(dictinfo, 'invindex.wx2_fxs'),
(dictinfo, 'invindex.wx2_idxs'),
]
keystr_list = ut.parse_locals_keylist(locals_, key_list)
append = keystr_list.append
def stats_(arr):
return wx_len_stats(arr)
append('lenstats(invindex.wx2_idxs) = ' + stats_(invindex.wx2_idxs))
#append('lenstats(invindex.wx2_idf) = ' + stats_(invindex.wx2_idf))
append('lenstats(invindex.wx2_drvecs) = ' + stats_(invindex.wx2_drvecs))
append('lenstats(invindex.wx2_aids) = ' + stats_(invindex.wx2_aids))
def mapval(func, dict_):
if isinstance(dict_, dict):
return map(func, six.itervalues(dict_))
else:
return map(func, dict_)
def isunique(aids):
return len(set(aids)) == len(aids)
if invindex.wx2_aids is not None:
wx_series = list(invindex.wx2_aids.keys())
aids_list = list(invindex.wx2_aids.values())
nAids_list = map(len, aids_list)
invindex.wx2_aids
append('sum(mapval(len, invindex.wx2_aids))) = ' + str(sum(nAids_list)))
probably_asmk = all(mapval(isunique, invindex.wx2_aids))
if probably_asmk:
append('All wx2_aids are unique. aggregate probably is True')
else:
append('Some wx2_aids are duplicates. aggregate probably is False')
maxkey = wx_series[np.array(nAids_list).argmax()]
print('wx2_aids[maxkey=%r] = \n' % (maxkey,) + str(invindex.wx2_aids[maxkey]))
dbgstr = '\n'.join(keystr_list)
print(dbgstr)
print('L--- END INVINDEX DBGSTR ---')
def invindex_dbgstr(invindex):
"""
>>> from ibeis.algo.hots.smk.smk_debug import * # NOQA
>>> ibs, annots_df, daids, qaids, invindex = testdata_raw_internals0()
>>> invindex_dbgstr(invindex)
"""
print('+--- INVINDEX DBGSTR ---')
print('called by %r' % (ut.get_caller_name(), ))
locals_ = {'invindex': invindex}
#print(dictinfo(invindex.wx2_fxs))
key_list = [
'invindex.words.shape',
'invindex.words.dtype',
'invindex.daids.dtype',
'invindex.idx2_dvec.shape',
'invindex.idx2_dvec.dtype',
'invindex.idx2_daid.shape',
'invindex.idx2_daid.dtype',
'invindex.idx2_dfx.shape',
(dictinfo, 'invindex.daid2_sccw'),
(dictinfo, 'invindex.wx2_drvecs'),
(dictinfo, 'invindex.wx2_dmaws'),
(dictinfo, 'invindex.wx2_dflags'),
(dictinfo, 'invindex.wx2_idf'),
(dictinfo, 'invindex.wx2_aids'),
(dictinfo, 'invindex.wx2_fxs'),
(dictinfo, 'invindex.wx2_idxs'),
]
keystr_list = ut.parse_locals_keylist(locals_, key_list)
append = keystr_list.append
def stats_(arr):
return wx_len_stats(arr)
append('lenstats(invindex.wx2_idxs) = ' + stats_(invindex.wx2_idxs))
#append('lenstats(invindex.wx2_idf) = ' + stats_(invindex.wx2_idf))
append('lenstats(invindex.wx2_drvecs) = ' + stats_(invindex.wx2_drvecs))
append('lenstats(invindex.wx2_aids) = ' + stats_(invindex.wx2_aids))
def mapval(func, dict_):
if isinstance(dict_, dict):
return map(func, six.itervalues(dict_))
else:
return map(func, dict_)
def isunique(aids):
return len(set(aids)) == len(aids)
if invindex.wx2_aids is not None:
wx_series = list(invindex.wx2_aids.keys())
aids_list = list(invindex.wx2_aids.values())
nAids_list = map(len, aids_list)
invindex.wx2_aids
append('sum(mapval(len, invindex.wx2_aids))) = ' +
str(sum(nAids_list)))
probably_asmk = all(mapval(isunique, invindex.wx2_aids))
if probably_asmk:
append('All wx2_aids are unique. aggregate probably is True')
else:
append('Some wx2_aids are duplicates. aggregate probably is False')
maxkey = wx_series[np.array(nAids_list).argmax()]
print('wx2_aids[maxkey=%r] = \n' % (maxkey, ) +
str(invindex.wx2_aids[maxkey]))
dbgstr = '\n'.join(keystr_list)
print(dbgstr)
print('L--- END INVINDEX DBGSTR ---')
