data/amp-0.6.1/amp/utilities.py:855: tha ==> than, that, the
data/amp-0.6.1/amp/descriptor/bispectrum.py:528: acoording ==> according
data/amp-0.6.1/amp/descriptor/zernike.py:781: afer ==> after
data/amp-0.6.1/amp/descriptor/zernike.py:795: afer ==> after
data/amp-0.6.1/amp/descriptor/zernike.py:835: afer ==> after
data/amp-0.6.1/amp/model/__init__.py:50: hashs ==> hashes
data/amp-0.6.1/amp/model/__init__.py:74: hashs ==> hashes
data/amp-0.6.1/amp/model/__init__.py:77: hashs ==> hashes
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data/amp-0.6.1/amp/model/__init__.py:164: hashs ==> hashes
data/amp-0.6.1/amp/model/__init__.py:167: hashs ==> hashes
data/amp-0.6.1/amp/model/__init__.py:202: hashs ==> hashes
data/amp-0.6.1/amp/model/__init__.py:205: hashs ==> hashes
data/amp-0.6.1/amp/model/__init__.py:327: hashs ==> hashes
data/amp-0.6.1/amp/model/__init__.py:330: hashs ==> hashes
data/amp-0.6.1/amp/model/__init__.py:851: utilties ==> utilities
data/amp-0.6.1/amp/model/__init__.py:900: hashs ==> hashes
data/amp-0.6.1/amp/model/__init__.py:903: hashs ==> hashes
data/amp-0.6.1/amp/model/neuralnetwork.py:36: seperately ==> separately
data/amp-0.6.1/amp/model/neuralnetwork.py:43: funtion ==> function
data/amp-0.6.1/amp/model/neuralnetwork.py:63: maximun ==> maximum
data/amp-0.6.1/amp/model/neuralnetwork.py:620: matix ==> matrix
data/amp-0.6.1/amp/model/neuralnetwork.py:815: seperately ==> separately
data/amp-0.6.1/amp/model/neuralnetwork.py:821: funtion ==> function
data/amp-0.6.1/amp/model/neuralnetwork.py:830: maximun ==> maximum
data/amp-0.6.1/amp/model/neuralnetwork.py:947: funtion ==> function
data/amp-0.6.1/amp/model/neuralnetwork.py:958: hashs ==> hashes
data/amp-0.6.1/amp/model/neuralnetwork.py:960: hashs ==> hashes
data/amp-0.6.1/amp/model/neuralnetwork.py:968: hashs ==> hashes
data/amp-0.6.1/amp/model/neuralnetwork.py:1112: argment ==> argument
data/amp-0.6.1/amp/model/tflow.py:41: represnts ==> represents
data/amp-0.6.1/amp/model/tflow.py:100: analagous ==> analogous
data/amp-0.6.1/amp/model/tflow.py:133: analagous ==> analogous
data/amp-0.6.1/amp/model/tflow.py:140: analagous ==> analogous
data/amp-0.6.1/amp/model/tflow.py:1293: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1301: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1302: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1302: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1311: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1314: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1315: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1316: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1338: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1356: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1357: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1371: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1372: hashs ==> hashes
data/amp-0.6.1/amp/model/tflow.py:1628: hashs ==> hashes
data/amp-0.6.1/amp/regression/__init__.py:31: paramters ==> parameters
data/amp-0.6.1/amp/stats/bootstrap.py:92: submision ==> submission
data/amp-0.6.1/amp/stats/bootstrap.py:367: repitition ==> repetition
data/amp-0.6.1/amp/stats/bootstrap.py:368: repitition ==> repetition
data/amp-0.6.1/docs/building.rst:139: mater ==> matter, master, mother
data/amp-0.6.1/docs/installation.rst:79: automatizes ==> automates
data/amp-0.6.1/docs/_static/gaussian.svg:435: ND ==> AND, 2ND
data/amp-0.6.1/docs/_static/gaussian.svg:435: nd ==> and, 2nd
data/amp-0.6.1/docs/_static/gaussian.svg:435: fo ==> of, for
data/amp-0.6.1/docs/_static/gaussian.svg:435: WOUd ==> would
data/amp-0.6.1/docs/_static/gaussian.svg:435: ALs ==> also
data/amp-0.6.1/docs/_static/gaussian.svg:441: Mor ==> More
data/amp-0.6.1/docs/_static/gaussian.svg:441: ND ==> AND, 2ND
data/amp-0.6.1/docs/_static/gaussian.svg:441: fO ==> of, for
data/amp-0.6.1/docs/_static/gaussian.svg:441: Oyu ==> You
data/amp-0.6.1/docs/_static/gaussian.svg:441: Te ==> The, be, we
data/amp-0.6.1/docs/_static/gaussian.svg:441: ue ==> use, due
data/amp-0.6.1/docs/_static/gaussian.svg:447: nd ==> and, 2nd
data/amp-0.6.1/docs/_static/gaussian.svg:447: FWE ==> FEW
data/amp-0.6.1/docs/_static/gaussian.svg:447: WLl ==> will
data/amp-0.6.1/docs/_static/gaussian.svg:447: te ==> the, be, we
data/amp-0.6.1/docs/_static/gaussian.svg:447: ba ==> by, be
data/amp-0.6.1/docs/_static/gaussian.svg:447: nd ==> and, 2nd
data/amp-0.6.1/docs/_static/gaussian.svg:453: BA ==> BY, BE
data/amp-0.6.1/docs/_static/gaussian.svg:453: cOo ==> coup
data/amp-0.6.1/docs/_static/gaussian.svg:453: LiK ==> like, lick, link
data/amp-0.6.1/docs/_static/gaussian.svg:453: BA ==> BY, BE
data/amp-0.6.1/docs/_static/gaussian.svg:453: BA ==> BY, BE
data/amp-0.6.1/docs/_static/gaussian.svg:453: bA ==> by, be
data/amp-0.6.1/docs/_static/gaussian.svg:453: fO ==> of, for
data/amp-0.6.1/docs/_static/gaussian.svg:453: BA ==> BY, BE
data/amp-0.6.1/docs/_static/gaussian.svg:453: Yhe ==> The
data/amp-0.6.1/docs/_static/gaussian.svg:2442: ba ==> by, be
data/amp-0.6.1/docs/_static/gaussian.svg:2442: te ==> the, be, we
data/amp-0.6.1/docs/_static/zernike.svg:3479: ba ==> by, be
data/amp-0.6.1/docs/_static/zernike.svg:3479: te ==> the, be, we
data/amp-0.6.1/docs/_static/zernike.svg:3691: ND ==> AND, 2ND
data/amp-0.6.1/docs/_static/zernike.svg:3691: nd ==> and, 2nd
data/amp-0.6.1/docs/_static/zernike.svg:3691: fo ==> of, for
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data/amp-0.6.1/docs/_static/zernike.svg:3691: ALs ==> also
data/amp-0.6.1/docs/_static/zernike.svg:3697: Mor ==> More
data/amp-0.6.1/docs/_static/zernike.svg:3697: ND ==> AND, 2ND
data/amp-0.6.1/docs/_static/zernike.svg:3697: fO ==> of, for
data/amp-0.6.1/docs/_static/zernike.svg:3697: Oyu ==> You
data/amp-0.6.1/docs/_static/zernike.svg:3697: Te ==> The, be, we
data/amp-0.6.1/docs/_static/zernike.svg:3697: ue ==> use, due
data/amp-0.6.1/docs/_static/zernike.svg:3703: nd ==> and, 2nd
data/amp-0.6.1/docs/_static/zernike.svg:3703: FWE ==> FEW
data/amp-0.6.1/docs/_static/zernike.svg:3703: WLl ==> will
data/amp-0.6.1/docs/_static/zernike.svg:3703: te ==> the, be, we
data/amp-0.6.1/docs/_static/zernike.svg:3703: ba ==> by, be
data/amp-0.6.1/docs/_static/zernike.svg:3703: nd ==> and, 2nd
data/amp-0.6.1/docs/_static/zernike.svg:5401: fOf ==> for
data/amp-0.6.1/docs/_static/zernike.svg:5401: Nd ==> And, 2nd
data/amp-0.6.1/docs/_static/zernike.svg:5401: Ue ==> Use, due
data/amp-0.6.1/docs/_static/zernike.svg:5401: ot ==> to, of, or
data/amp-0.6.1/docs/_static/zernike.svg:5401: ba ==> by, be
data/amp-0.6.1/docs/_static/zernike.svg:5401: ot ==> to, of, or
data/amp-0.6.1/docs/_static/zernike.svg:5401: fOF ==> for
data/amp-0.6.1/docs/_static/zernike.svg:5401: bRE ==> be, brie
data/amp-0.6.1/docs/_static/zernike.svg:5401: te ==> the, be, we
data/amp-0.6.1/docs/_static/zernike.svg:5401: Ba ==> By, be
data/amp-0.6.1/docs/_static/zernike.svg:5401: te ==> the, be, we
data/amp-0.6.1/docs/_static/zernike.svg:5401: OT ==> TO, OF, OR
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data/amp-0.6.1/docs/_static/zernike.svg:5499: tYe ==> type, tie
data/amp-0.6.1/docs/_static/zernike.svg:5499: URE ==> SURE, IRE, ARE, UREA, RUE
data/amp-0.6.1/docs/_static/zernike.svg:5499: te ==> the, be, we
data/amp-0.6.1/docs/_static/zernike.svg:5499: iIf ==> if
data/amp-0.6.1/docs/_static/zernike.svg:5499: ONy ==> only
data/amp-0.6.1/docs/_static/zernike.svg:5506: Te ==> The, be, we
data/amp-0.6.1/docs/_static/zernike.svg:5506: nd ==> and, 2nd
data/amp-0.6.1/docs/_static/zernike.svg:5506: Nd ==> And, 2nd
data/amp-0.6.1/docs/_static/zernike.svg:5506: Nd ==> And, 2nd
data/amp-0.6.1/docs/_static/zernike.svg:5506: fO ==> of, for
data/amp-0.6.1/docs/_static/zernike.svg:5506: Ot ==> To, of, or
data/amp-0.6.1/docs/_static/zernike.svg:5506: WiH ==> with
data/amp-0.6.1/docs/_static/zernike.svg:5506: tE ==> the, be, we
data/amp-0.6.1/docs/_static/zernike.svg:5506: OT ==> TO, OF, OR
data/amp-0.6.1/docs/_static/zernike.svg:5506: daED ==> dead
data/amp-0.6.1/docs/_static/zernike.svg:5506: OT ==> TO, OF, OR
data/amp-0.6.1/docs/_static/zernike.svg:5506: noo ==> no
data/amp-0.6.1/docs/_static/zernike.svg:5506: Fwe ==> Few
data/amp-0.6.1/docs/_static/zernike.svg:5506: OnD ==> one
data/amp-0.6.1/docs/_static/zernike.svg:5506: bA ==> by, be
data/amp-0.6.1/docs/_static/zernike.svg:5506: Ue ==> Use, due
data/amp-0.6.1/tests/test_gaussian_tflow.py:23: peform ==> perform
data/amp-0.6.1/tests/CuOPd_test/gaussian_neural_test/force_call_test_tflow.py:22: peform ==> perform
data/amp-0.6.1/tests/consistency_test/gaussian_neural_test/force_call_test.py:504: Guassian ==> Gaussian
data/amp-0.6.1/tests/consistency_test/gaussian_neural_test/train_test.py:533: Guassian ==> Gaussian