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Use % string formatter #130

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Use % string formatter #130

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12 changes: 6 additions & 6 deletions source/lib/indexing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -122,9 +122,9 @@ def IndexSearchMultiple(data, idx, verbose=False, texts=None, print_errors=False
= (nbex - np.equal(I.reshape(nbex), ref)
.astype(int).sum()) / nbex
if verbose:
print(' - similarity error {:s}/{:s}: {:5d}={:5.2f}%'
print(' - similarity error {:s}/{:s}: {:5d}={:5.2%}'
.format(args.langs[i1], args.langs[i2],
err[i1, i2], 100.0 * err[i1, i2]))
err[i1, i2], err[i1, i2]))
return err


Expand All @@ -142,15 +142,15 @@ def IndexPrintConfusionMatrix(err, langs):
for i1 in range(nl):
print('{:3s}'.format(langs[i1]), end='')
for i2 in range(nl):
print('{:8.2f}%'.format(100 * err[i1, i2]), end='')
print('{:8.2f}%'.format(100 * err[i1, :].sum() / (nl-1)))
print('{:8.2%}'.format(err[i1, i2]), end='')
print('{:8.2%}'.format(err[i1, :].sum() / (nl-1)))

print('avg', end='')
for i2 in range(nl):
print('{:8.2f}%'.format(100 * err[:, i2].sum() / (nl-1)), end='')
print('{:8.2%}'.format(err[:, i2].sum() / (nl-1)), end='')

# global average
print('{:8.2f}%'.format(100 * err.sum() / (nl-1) / nl))
print('{:8.2%}'.format(err.sum() / (nl-1) / nl))


###############################################################################
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