data/mlpy-3.5.0+ds/docs/source/svm.txt:97: algoritm ==> algorithm
data/mlpy-3.5.0+ds/docs/source/svm.txt:98: algoritm ==> algorithm
data/mlpy-3.5.0+ds/docs/source/svm.txt:110: algoritm ==> algorithm
data/mlpy-3.5.0+ds/docs/source/dim_red.txt:28: tranformation ==> transformation
data/mlpy-3.5.0+ds/docs/source/dim_red.txt:61: tranformation ==> transformation
data/mlpy-3.5.0+ds/mlpy/dimred.py:119: tranformation ==> transformation
data/mlpy-3.5.0+ds/mlpy/dimred.py:257: tranformation ==> transformation
data/mlpy-3.5.0+ds/mlpy/dimred.py:316: alghoritm ==> algorithm
data/mlpy-3.5.0+ds/mlpy/dimred.py:416: tranformation ==> transformation
data/mlpy-3.5.0+ds/mlpy/dimred.py:478: tranformation ==> transformation
data/mlpy-3.5.0+ds/mlpy/dimred.py:564: tranformation ==> transformation
data/mlpy-3.5.0+ds/mlpy/dimred.py:654: tranformation ==> transformation
data/mlpy-3.5.0+ds/mlpy/dimred.py:663: tranformation ==> transformation
data/mlpy-3.5.0+ds/mlpy/dimred.py:737: tranformation ==> transformation
data/mlpy-3.5.0+ds/mlpy/dimred.py:746: tranformation ==> transformation
data/mlpy-3.5.0+ds/mlpy/dimred.py:833: tranformation ==> transformation
data/mlpy-3.5.0+ds/mlpy/crossval.py:26: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/crossval.py:36: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/crossval.py:58: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/crossval.py:59: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/crossval.py:59: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/crossval.py:75: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/crossval.py:76: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/crossval.py:78: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/crossval.py:108: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/crossval.py:120: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/crossval.py:154: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/crossval.py:155: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/crossval.py:157: strat ==> start, strata
data/mlpy-3.5.0+ds/mlpy/da.py:302: Classifers ==> Classifiers
data/mlpy-3.5.0+ds/mlpy/libml/libml.pyx:115: Retuns ==> Returns
data/mlpy-3.5.0+ds/mlpy/libml/libml.pyx:306: Retuns ==> Returns
data/mlpy-3.5.0+ds/mlpy/libml/libml.pyx:501: Retuns ==> Returns
data/mlpy-3.5.0+ds/mlpy/libml/src/sampling.c:33: ans ==> and
data/mlpy-3.5.0+ds/mlpy/libml/src/sampling.c:60: ans ==> and
data/mlpy-3.5.0+ds/mlpy/libml/src/sampling.c:66: ans ==> and
data/mlpy-3.5.0+ds/mlpy/libml/src/sampling.c:91: ans ==> and
data/mlpy-3.5.0+ds/mlpy/libml/src/ttest.c:121: ser ==> set
data/mlpy-3.5.0+ds/mlpy/libml/src/ttest.c:129: ser ==> set
data/mlpy-3.5.0+ds/mlpy/libml/src/ttest.c:132: ser ==> set
data/mlpy-3.5.0+ds/mlpy/libml/src/ttest.c:134: ser ==> set
data/mlpy-3.5.0+ds/mlpy/libml/src/mlg.c:203: succes ==> success
data/mlpy-3.5.0+ds/mlpy/libml/src/mlg.c:285: succes ==> success
data/mlpy-3.5.0+ds/mlpy/libml/src/parser.c:8: tipically ==> typically
data/mlpy-3.5.0+ds/mlpy/libml/src/tree.c:7: nodeL ==> model, nodal
data/mlpy-3.5.0+ds/mlpy/libml/src/tree.c:207: succes ==> success
data/mlpy-3.5.0+ds/mlpy/libml/src/tree.c:265: succes ==> success
data/mlpy-3.5.0+ds/mlpy/libml/src/tree.c:705: nodeL ==> model, nodal
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:113: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:221: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:222: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:306: succes ==> success
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:996: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:996: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:1057: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:1072: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:1072: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:1094: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:1094: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:1126: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:1134: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:1265: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/rsfn.c:1266: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:134: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:178: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:179: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:242: succes ==> success
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:252: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:256: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:271: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:276: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:304: succes ==> success
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:849: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:849: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:891: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:892: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:946: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:961: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:961: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:983: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:983: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:1013: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:1021: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:1153: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/svm.c:1154: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/ml.h:110: alph ==> alpha
data/mlpy-3.5.0+ds/mlpy/libml/src/nn.c:143: succes ==> success
data/mlpy-3.5.0+ds/mlpy/libml/src/nn.c:237: succes ==> success
data/mlpy-3.5.0+ds/mlpy/libml/src/matrix.c:86: dum ==> dumb
data/mlpy-3.5.0+ds/mlpy/libml/src/matrix.c:117: dum ==> dumb
data/mlpy-3.5.0+ds/mlpy/libml/src/matrix.c:119: dum ==> dumb
data/mlpy-3.5.0+ds/mlpy/libml/src/matrix.c:127: dum ==> dumb
data/mlpy-3.5.0+ds/mlpy/libml/src/matrix.c:129: dum ==> dumb
data/mlpy-3.5.0+ds/mlpy/libml/src/matrix.c:138: dum ==> dumb
data/mlpy-3.5.0+ds/mlpy/libml/src/matrix.c:139: dum ==> dumb
data/mlpy-3.5.0+ds/mlpy/fastcluster/fastcluster.py:278: ND ==> AND, 2ND
data/mlpy-3.5.0+ds/mlpy/fastcluster/fastcluster.py:380: build-in ==> built-in
data/mlpy-3.5.0+ds/mlpy/fastcluster/fastcluster/src/fastcluster_R.cpp:561: fiels ==> feels, fields, files, phials
data/mlpy-3.5.0+ds/mlpy/fastcluster/fastcluster/src/fastcluster_R.cpp:740: fiels ==> feels, fields, files, phials
data/mlpy-3.5.0+ds/mlpy/fastcluster/fastcluster/src/fastcluster_python.cpp:794: nd ==> and, 2nd
data/mlpy-3.5.0+ds/mlpy/kmeans/c_kmeans.c:156: assignement ==> assignment
data/mlpy-3.5.0+ds/mlpy/kmeans/c_kmeans.c:189: assignement ==> assignment
data/mlpy-3.5.0+ds/mlpy/kmeans/c_kmeans.c:206: assignement ==> assignment
data/mlpy-3.5.0+ds/mlpy/kmeans/c_kmeans.c:236: assignement ==> assignment
data/mlpy-3.5.0+ds/mlpy/libsvm/libsvm/svm.cpp:776: coefficeint ==> coefficient
data/mlpy-3.5.0+ds/mlpy/libsvm/libsvm/svm.cpp:1019: coefficeint ==> coefficient
data/mlpy-3.5.0+ds/mlpy/libsvm/libsvm/svm.cpp:1689: Probablistic ==> Probabilistic
data/mlpy-3.5.0+ds/mlpy/wavelet/dwt.c:163: Tranform ==> Transform
data/mlpy-3.5.0+ds/mlpy/wavelet/dwt.c:190: Tranform ==> Transform
data/mlpy-3.5.0+ds/mlpy/wavelet/uwt_align.py:23: aligment ==> alignment
data/mlpy-3.5.0+ds/mlpy/wavelet/uwt_align.py:41: aligment ==> alignment
data/mlpy-3.5.0+ds/mlpy/wavelet/continuous.py:34: tranformed ==> transformed
data/mlpy-3.5.0+ds/mlpy/wavelet/continuous.py:57: tranformed ==> transformed
data/mlpy-3.5.0+ds/mlpy/wavelet/continuous.py:81: tranformed ==> transformed
data/mlpy-3.5.0+ds/mlpy/wavelet/continuous.py:228: Tranform ==> Transform
data/mlpy-3.5.0+ds/mlpy/wavelet/continuous.py:280: Tranform ==> Transform
data/mlpy-3.5.0+ds/mlpy/wavelet/uwt.c:263: Tranform ==> Transform
data/mlpy-3.5.0+ds/mlpy/wavelet/uwt.c:294: Tranform ==> Transform
data/mlpy-3.5.0+ds/mlpy/adatron/adatron.pyx:31: algoritm ==> algorithm
data/mlpy-3.5.0+ds/mlpy/adatron/adatron.pyx:32: algoritm ==> algorithm
data/mlpy-3.5.0+ds/mlpy/adatron/adatron.pyx:48: algoritm ==> algorithm
data/mlpy-3.5.0+ds/mlpy/liblinear/liblinear/blas/blas.h:4: ba ==> by, be
data/mlpy-3.5.0+ds/mlpy/hcluster/hc.c:378: ans ==> and
data/mlpy-3.5.0+ds/mlpy/hcluster/hc.c:461: ans ==> and
data/mlpy-3.5.0+ds/mlpy/hcluster/hc.c:466: ans ==> and
data/mlpy-3.5.0+ds/mlpy/hcluster/hc.c:474: ans ==> and
data/mlpy-3.5.0+ds/debian/rules:51: useable ==> usable