data/nipy-0.4.2/setup_helpers.py:74: instal ==> install
data/nipy-0.4.2/doc/index.rst:16: heirarchy ==> hierarchy
data/nipy-0.4.2/doc/devel/code_discussions/brainvisa_repositories.rst:130: acces ==> access
data/nipy-0.4.2/doc/devel/code_discussions/brainvisa_repositories.rst:154: acces ==> access
data/nipy-0.4.2/doc/devel/code_discussions/coordmap_notes.rst:52: permuation ==> permutation
data/nipy-0.4.2/doc/devel/code_discussions/coordmap_notes.rst:207: coordinnate ==> coordinate
data/nipy-0.4.2/doc/devel/code_discussions/coordmap_notes.rst:407: possibilites ==> possibilities
data/nipy-0.4.2/doc/devel/code_discussions/repository_design.rst:63: adherance ==> adherence
data/nipy-0.4.2/doc/devel/code_discussions/understanding_affines.rst:80: postive ==> positive
data/nipy-0.4.2/doc/devel/code_discussions/usecases/transformations.rst:80: co-ordinate ==> coordinate
data/nipy-0.4.2/doc/devel/code_discussions/usecases/transformations.rst:223: tranform ==> transform
data/nipy-0.4.2/doc/devel/code_discussions/usecases/transformations.rst:229: tranformation ==> transformation
data/nipy-0.4.2/doc/devel/guidelines/sphinx_helpers.rst:91: refence ==> reference
data/nipy-0.4.2/doc/devel/guidelines/sphinx_helpers.rst:136: facilites ==> facilities
data/nipy-0.4.2/doc/devel/guidelines/testing.rst:206: supressed ==> suppressed
data/nipy-0.4.2/doc/devel/guidelines/gitwash/configure_git.rst:159: implimentation ==> implementation
data/nipy-0.4.2/doc/devel/install/windows_scipy_build.rst:155: Compling ==> Compiling
data/nipy-0.4.2/doc/devel/planning/roadmap.rst:7: protoype ==> prototype
data/nipy-0.4.2/doc/faq/why.rst:50: sofware ==> software
data/nipy-0.4.2/doc/labs/datasets.rst:28: coordinnates ==> coordinates
data/nipy-0.4.2/doc/users/coordinate_map.rst:30: thier ==> their
data/nipy-0.4.2/doc/users/glm_spec.rst:263: ba ==> by, be
data/nipy-0.4.2/doc/users/glm_spec.rst:265: ba ==> by, be
data/nipy-0.4.2/doc/users/glm_spec.rst:280: ba ==> by, be
data/nipy-0.4.2/doc/users/glm_spec.rst:282: ba ==> by, be
data/nipy-0.4.2/doc/users/glm_spec.rst:322: ba ==> by, be
data/nipy-0.4.2/doc/users/glm_spec.rst:323: ba ==> by, be
data/nipy-0.4.2/doc/users/glm_spec.rst:328: ba ==> by, be
data/nipy-0.4.2/doc/users/glm_spec.rst:451: ba ==> by, be
data/nipy-0.4.2/doc/users/glm_spec.rst:452: ba ==> by, be
data/nipy-0.4.2/doc/users/install_data.rst:102: sytem ==> system
data/nipy-0.4.2/doc/users/math_coordmap.rst:42: reduntant ==> redundant
data/nipy-0.4.2/doc/users/math_coordmap.rst:370: someting ==> something
data/nipy-0.4.2/doc/users/plots/hrf_delta.py:11: ba ==> by, be
data/nipy-0.4.2/doc/users/plots/hrf_delta.py:19: ba ==> by, be
data/nipy-0.4.2/doc/users/plots/hrf_different.py:20: ba ==> by, be
data/nipy-0.4.2/doc/users/plots/hrf_different.py:21: ba ==> by, be
data/nipy-0.4.2/doc/users/plots/hrf_different.py:33: ba ==> by, be
data/nipy-0.4.2/doc/users/plots/neuronal_block.py:17: ba ==> by, be
data/nipy-0.4.2/doc/users/plots/neuronal_block.py:18: ba ==> by, be
data/nipy-0.4.2/doc/users/plots/neuronal_block.py:22: ba ==> by, be
data/nipy-0.4.2/doc/users/plots/neuronal_event.py:15: ba ==> by, be
data/nipy-0.4.2/doc/users/plots/neuronal_event.py:16: ba ==> by, be
data/nipy-0.4.2/doc/users/plots/neuronal_event.py:20: ba ==> by, be
data/nipy-0.4.2/examples/algorithms/bayesian_gaussian_mixtures.py:9: sucessively ==> successively
data/nipy-0.4.2/examples/ds105/ds105_example.py:172: constrasts ==> contrasts
data/nipy-0.4.2/examples/ds105/ds105_util.py:242: scipt ==> script, skipped
data/nipy-0.4.2/examples/fiac/README.txt:33: Mapp ==> Map
data/nipy-0.4.2/examples/fiac/fiac_util.py:364: scipt ==> script, skipped
data/nipy-0.4.2/examples/labs/blob_extraction.py:6: scipt ==> script, skipped
data/nipy-0.4.2/examples/labs/example_glm.py:101: constrast ==> contrast
data/nipy-0.4.2/examples/labs/histogram_fits.py:6: perfoms ==> performs
data/nipy-0.4.2/examples/labs/permutation_test_fakedata.py:92: controled ==> controlled
data/nipy-0.4.2/examples/labs/two_sample_mixed_effects.py:36: hist ==> heist, his
data/nipy-0.4.2/examples/labs/watershed_labeling.py:6: scipt ==> script, skipped
data/nipy-0.4.2/examples/labs/write_paradigm_file.py:30: substract ==> subtract
data/nipy-0.4.2/examples/labs/need_data/example_roi_and_glm.py:116: specifiy ==> specify
data/nipy-0.4.2/examples/labs/need_data/example_roi_and_glm.py:119: constrast ==> contrast
data/nipy-0.4.2/examples/labs/need_data/first_level_fiac.py:77: implictly ==> implicitly
data/nipy-0.4.2/examples/labs/need_data/histogram_fits.py:6: perfoms ==> performs
data/nipy-0.4.2/examples/labs/need_data/parcel_multisubj.py:42: ths ==> the, this
data/nipy-0.4.2/examples/labs/need_data/parcel_multisubj.py:53: ths ==> the, this
data/nipy-0.4.2/lib/fff/fff_array.c:185: offsetT ==> offset
data/nipy-0.4.2/lib/fff/fff_array.c:288: offsetT ==> offset
data/nipy-0.4.2/lib/fff/fff_array.c:309: offsetT ==> offset
data/nipy-0.4.2/lib/fff/fff_array.c:340: offsetT ==> offset
data/nipy-0.4.2/lib/fff/fff_array.c:484: aboslute ==> absolute
data/nipy-0.4.2/lib/fff/fff_array.c:766: acessors ==> accessors, accessor
data/nipy-0.4.2/lib/fff/fff_array.h:28: offsetT ==> offset
data/nipy-0.4.2/lib/fff/fff_array.h:107: offsetT ==> offset
data/nipy-0.4.2/lib/fff/fff_array.h:123: offsetT ==> offset
data/nipy-0.4.2/lib/fff/fff_blas.c:124: substract ==> subtract
data/nipy-0.4.2/lib/fff/fff_lapack.h:21: convertion ==> conversion
data/nipy-0.4.2/lib/fff/fff_lapack.h:22: Fortan ==> Fortran
data/nipy-0.4.2/lib/fff/fff_matrix.c:72: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:74: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:75: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:76: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:85: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:87: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:88: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:90: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:92: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:102: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:104: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:105: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:106: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:115: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:117: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:118: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:119: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:242: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:244: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:246: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:247: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:265: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:268: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:270: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:271: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:283: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:286: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:288: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:289: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:298: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:301: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:303: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:304: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:313: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:316: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:318: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:319: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:329: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:332: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:334: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_matrix.c:335: bA ==> by, be
data/nipy-0.4.2/lib/fff/fff_onesample_stat.c:344: ans ==> and
data/nipy-0.4.2/lib/fff/fff_onesample_stat.c:352: ans ==> and
data/nipy-0.4.2/lib/fff/fff_onesample_stat.c:353: ans ==> and
data/nipy-0.4.2/lib/fff/fff_onesample_stat.c:356: ans ==> and
data/nipy-0.4.2/lib/fff/fff_onesample_stat.c:358: ans ==> and
data/nipy-0.4.2/lib/fff/fff_onesample_stat.c:1031: weigths ==> weights
data/nipy-0.4.2/lib/fff/fff_onesample_stat.c:1234: ans ==> and
data/nipy-0.4.2/lib/fff/fff_onesample_stat.c:1239: ans ==> and
data/nipy-0.4.2/lib/fff/fff_onesample_stat.c:1240: ans ==> and
data/nipy-0.4.2/lib/fff/fff_onesample_stat.c:1243: ans ==> and
data/nipy-0.4.2/lib/fff/fff_onesample_stat.c:1245: ans ==> and
data/nipy-0.4.2/lib/fff/fff_routines.c:16: ans ==> and
data/nipy-0.4.2/lib/fff/fff_routines.c:21: ans ==> and
data/nipy-0.4.2/lib/fff/fff_routines.c:22: ans ==> and
data/nipy-0.4.2/lib/fff/fff_routines.c:25: ans ==> and
data/nipy-0.4.2/lib/fff/fff_routines.c:27: ans ==> and
data/nipy-0.4.2/lib/fff_python_wrapper/fff.pxd:111: offsetT ==> offset
data/nipy-0.4.2/lib/fff_python_wrapper/fffpy.c:574: fiels ==> feels, fields, files, phials
data/nipy-0.4.2/lib/fff_python_wrapper/fffpy.c:622: nd ==> and, 2nd
data/nipy-0.4.2/lib/fff_python_wrapper/fffpy.c:630: nd ==> and, 2nd
data/nipy-0.4.2/lib/fff_python_wrapper/fffpy.c:630: nd ==> and, 2nd
data/nipy-0.4.2/lib/fff_python_wrapper/fffpy.c:631: nd ==> and, 2nd
data/nipy-0.4.2/lib/fff_python_wrapper/fffpy.c:631: nd ==> and, 2nd
data/nipy-0.4.2/lib/fff_python_wrapper/fffpy.c:632: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/blas_lite.c:4416: tranformed ==> transformed
data/nipy-0.4.2/lib/lapack_lite/dlamch.c:210: ure ==> sure, ire, are, urea, rue
data/nipy-0.4.2/lib/lapack_lite/dlamch.c:454: ure ==> sure, ire, are, urea, rue
data/nipy-0.4.2/lib/lapack_lite/dlamch.c:604: ned ==> need
data/nipy-0.4.2/lib/lapack_lite/dlamch.c:605: thi ==> the, this
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:2702: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:2943: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:4131: tranformations ==> transformations
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:5164: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:5720: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:5787: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:5787: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:5788: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:5862: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:5962: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6052: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6114: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6114: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6115: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6147: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6220: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6247: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6331: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6331: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6332: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6407: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6507: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6597: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6658: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6658: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6659: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6689: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6760: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:6787: dum ==> dumb
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:7598: Otherwize ==> Otherwise
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:9141: occurence ==> occurrence
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:11630: occurence ==> occurrence
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:12152: tolerence ==> tolerance
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:13053: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:13086: elemnts ==> elements
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:13205: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:13206: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:13206: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:13207: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:13207: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:13493: ba ==> by, be
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:13598: thorugh ==> through, thorough
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:13603: orthognal ==> orthogonal
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:13741: ba ==> by, be
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:13755: ba ==> by, be
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:15402: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:15628: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:15647: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:15648: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:15677: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:15789: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:15790: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:15797: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:16358: arguements ==> arguments
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:17373: Otherwize ==> Otherwise
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:17931: magnatiude ==> magnitude
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:18112: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:18257: ND ==> AND, 2ND
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:18381: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:18419: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:18425: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:18771: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:18795: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:18941: ND ==> AND, 2ND
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:19076: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:19114: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:19120: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:19474: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:19644: Otherwize ==> Otherwise
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:20193: magnatiude ==> magnitude
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:23938: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:24078: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:24086: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:24088: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:24120: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:24256: occurence ==> occurrence
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:26735: occurence ==> occurrence
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:27291: tolerence ==> tolerance
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:27821: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:28086: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:28094: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:28095: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:28144: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:28312: wether ==> weather, whether
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:28613: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:28650: ND ==> AND, 2ND
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:28720: nd ==> and, 2nd
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:28908: Numer ==> Number
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:29063: desig ==> design
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:29122: NIN ==> INN, MIN, BIN, NINE
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:29401: desig ==> design
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:29475: desig ==> design
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:30445: paramters ==> parameters
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:31907: desig ==> design
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:31972: DESIG ==> DESIGN
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:32005: statment ==> statement
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:32215: desig ==> design
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:32216: desig ==> design
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:32217: desig ==> design
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:32220: desig ==> design
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:32220: desig ==> design
data/nipy-0.4.2/lib/lapack_lite/dlapack_lite.c:32308: statment ==> statement
data/nipy-0.4.2/lib/lapack_lite/f2c.h:3: ba ==> by, be
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:182: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:185: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:201: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:204: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:205: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:210: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:211: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:212: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:227: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:228: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:229: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:231: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:232: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:233: fo ==> of, for
data/nipy-0.4.2/lib/lapack_lite/remake/make_lite.py:234: fo ==> of, for
data/nipy-0.4.2/nipy/setup.py:62: everythin ==> everything
data/nipy-0.4.2/nipy/algorithms/optimize.py:14: minimium ==> minimum
data/nipy-0.4.2/nipy/algorithms/clustering/bgmm.py:8: perfoms ==> performs
data/nipy-0.4.2/nipy/algorithms/clustering/bgmm.py:353: follwing ==> following
data/nipy-0.4.2/nipy/algorithms/clustering/bgmm.py:361: componenets ==> components
data/nipy-0.4.2/nipy/algorithms/clustering/bgmm.py:491: upate ==> update
data/nipy-0.4.2/nipy/algorithms/clustering/bgmm.py:515: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/clustering/bgmm.py:517: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/clustering/bgmm.py:518: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/clustering/bgmm.py:1038: upate ==> update
data/nipy-0.4.2/nipy/algorithms/clustering/ggmixture.py:188: paramteres ==> parameters
data/nipy-0.4.2/nipy/algorithms/clustering/ggmixture.py:391: differnt ==> different
data/nipy-0.4.2/nipy/algorithms/clustering/ggmixture.py:435: Initilization ==> Initialization
data/nipy-0.4.2/nipy/algorithms/clustering/ggmixture.py:447: handeled ==> handled, handheld
data/nipy-0.4.2/nipy/algorithms/clustering/gmm.py:359: upate ==> update
data/nipy-0.4.2/nipy/algorithms/clustering/hierarchical_clustering.py:56: childs ==> children, child's
data/nipy-0.4.2/nipy/algorithms/clustering/hierarchical_clustering.py:222: theis ==> this, thesis
data/nipy-0.4.2/nipy/algorithms/clustering/hierarchical_clustering.py:322: inthe ==> in the
data/nipy-0.4.2/nipy/algorithms/clustering/hierarchical_clustering.py:456: Thre ==> Three, there, their, the
data/nipy-0.4.2/nipy/algorithms/clustering/imm.py:57: Proces ==> Process
data/nipy-0.4.2/nipy/algorithms/clustering/imm.py:264: datas ==> data
data/nipy-0.4.2/nipy/algorithms/clustering/utils.py:20: initilization ==> initialization
data/nipy-0.4.2/nipy/algorithms/clustering/utils.py:25: optionall ==> optional, optionally
data/nipy-0.4.2/nipy/algorithms/clustering/utils.py:175: initilization ==> initialization
data/nipy-0.4.2/nipy/algorithms/clustering/von_mises_fisher_mixture.py:59: fo ==> of, for
data/nipy-0.4.2/nipy/algorithms/clustering/von_mises_fisher_mixture.py:83: fo ==> of, for
data/nipy-0.4.2/nipy/algorithms/clustering/von_mises_fisher_mixture.py:113: fo ==> of, for
data/nipy-0.4.2/nipy/algorithms/clustering/von_mises_fisher_mixture.py:127: fo ==> of, for
data/nipy-0.4.2/nipy/algorithms/clustering/von_mises_fisher_mixture.py:142: fo ==> of, for
data/nipy-0.4.2/nipy/algorithms/clustering/von_mises_fisher_mixture.py:169: fo ==> of, for
data/nipy-0.4.2/nipy/algorithms/clustering/von_mises_fisher_mixture.py:284: fo ==> of, for
data/nipy-0.4.2/nipy/algorithms/clustering/von_mises_fisher_mixture.py:313: fo ==> of, for
data/nipy-0.4.2/nipy/algorithms/clustering/von_mises_fisher_mixture.py:349: fo ==> of, for
data/nipy-0.4.2/nipy/algorithms/clustering/tests/test_bgmm.py:99: optionnal ==> optional
data/nipy-0.4.2/nipy/algorithms/clustering/tests/test_gmm.py:165: initilizations ==> initializations
data/nipy-0.4.2/nipy/algorithms/graph/_graph.c:738: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/graph/_graph.c:1438: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/algorithms/graph/_graph.c:4031: unparseable ==> unparsable
data/nipy-0.4.2/nipy/algorithms/graph/_graph.c:4458: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/graph/_graph.c:4466: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/graph/_graph.c:4469: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/graph/_graph.c:5563: compiletime ==> compile time
data/nipy-0.4.2/nipy/algorithms/graph/bipartite_graph.py:18: wether ==> weather, whether
data/nipy-0.4.2/nipy/algorithms/graph/bipartite_graph.py:176: asociated ==> associated
data/nipy-0.4.2/nipy/algorithms/graph/field.py:5: arrray ==> array
data/nipy-0.4.2/nipy/algorithms/graph/field.py:7: thoses ==> those
data/nipy-0.4.2/nipy/algorithms/graph/field.py:86: asociated ==> associated
data/nipy-0.4.2/nipy/algorithms/graph/field.py:208: openeing ==> opening
data/nipy-0.4.2/nipy/algorithms/graph/graph.py:134: coo ==> coup
data/nipy-0.4.2/nipy/algorithms/graph/graph.py:196: coo ==> coup
data/nipy-0.4.2/nipy/algorithms/graph/graph.py:351: ba ==> by, be
data/nipy-0.4.2/nipy/algorithms/graph/graph.py:588: lenghts ==> lengths
data/nipy-0.4.2/nipy/algorithms/graph/graph.py:649: ony ==> only
data/nipy-0.4.2/nipy/algorithms/graph/graph.py:702: folllowing ==> following
data/nipy-0.4.2/nipy/algorithms/graph/graph.py:717: neighors ==> neighbors
data/nipy-0.4.2/nipy/algorithms/graph/graph.py:919: folllowing ==> following
data/nipy-0.4.2/nipy/algorithms/graph/graph.py:989: correponding ==> corresponding
data/nipy-0.4.2/nipy/algorithms/graph/graph.py:1266: coo ==> coup
data/nipy-0.4.2/nipy/algorithms/group/parcel_analysis.py:25: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/group/parcel_analysis.py:47: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/group/parcel_analysis.py:48: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/group/parcel_analysis.py:63: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/group/parcel_analysis.py:185: sequece ==> sequence
data/nipy-0.4.2/nipy/algorithms/group/parcel_analysis.py:494: sequece ==> sequence
data/nipy-0.4.2/nipy/algorithms/registration/NOTES_ELF:18: discribes ==> describes
data/nipy-0.4.2/nipy/algorithms/registration/_registration.c:1773: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/registration/_registration.c:1881: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/registration/_registration.c:4001: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/algorithms/registration/_registration.c:4765: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/algorithms/registration/_registration.c:7847: compiletime ==> compile time
data/nipy-0.4.2/nipy/algorithms/registration/cubic_spline.c:205: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/registration/cubic_spline.c:215: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/registration/cubic_spline.c:628: implicitely ==> implicitly
data/nipy-0.4.2/nipy/algorithms/registration/cubic_spline.h:12: Unser ==> Under, unset, unsure, user
data/nipy-0.4.2/nipy/algorithms/registration/groupwise_registration.py:128: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/registration/groupwise_registration.py:780: inbetween ==> between, in between
data/nipy-0.4.2/nipy/algorithms/registration/histogram_registration.py:10: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/registration/histogram_registration.py:42: reprensent ==> represent
data/nipy-0.4.2/nipy/algorithms/registration/histogram_registration.py:95: overriden ==> overridden
data/nipy-0.4.2/nipy/algorithms/registration/histogram_registration.py:679: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/registration/joint_histogram.c:152: Looop ==> Loop
data/nipy-0.4.2/nipy/algorithms/registration/joint_histogram.c:165: completly ==> completely
data/nipy-0.4.2/nipy/algorithms/registration/joint_histogram.c:176: excetution ==> execution
data/nipy-0.4.2/nipy/algorithms/registration/joint_histogram.c:223: Neightbor ==> Neighbor
data/nipy-0.4.2/nipy/algorithms/registration/tests/test_fmri_realign4d.py:123: explicitely ==> explicitly
data/nipy-0.4.2/nipy/algorithms/registration/tests/test_histogram_registration.py:37: thI ==> the, this
data/nipy-0.4.2/nipy/algorithms/segmentation/_segmentation.c:2170: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/algorithms/segmentation/_segmentation.c:3013: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/algorithms/segmentation/_segmentation.c:6477: compiletime ==> compile time
data/nipy-0.4.2/nipy/algorithms/segmentation/segmentation.py:58: wil ==> will, well
data/nipy-0.4.2/nipy/algorithms/statistics/_quantile.c:1673: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/algorithms/statistics/_quantile.c:5200: compiletime ==> compile time
data/nipy-0.4.2/nipy/algorithms/statistics/bayesian_mixed_effects.py:89: Ouput ==> Output
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:206: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:211: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:211: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:211: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:212: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:215: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:218: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:352: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:353: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:353: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:353: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:358: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:367: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:368: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:369: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:369: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:371: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/empirical_pvalue.py:371: hist ==> heist, his
data/nipy-0.4.2/nipy/algorithms/statistics/histogram.c:1201: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/algorithms/statistics/histogram.c:4520: compiletime ==> compile time
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:1215: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:1218: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:1220: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:18995: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:19835: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:23458: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:23511: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:23515: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:23521: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:23526: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:23872: unparseable ==> unparsable
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:24312: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:24319: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:24322: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.c:26578: compiletime ==> compile time
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.pyx:380: cuve ==> curve, cube, cave
data/nipy-0.4.2/nipy/algorithms/statistics/intvol.pyx:944: cuve ==> curve, cube, cave
data/nipy-0.4.2/nipy/algorithms/statistics/mixed_effects_stat.py:224: assocated ==> associated
data/nipy-0.4.2/nipy/algorithms/statistics/mixed_effects_stat.py:258: assocated ==> associated
data/nipy-0.4.2/nipy/algorithms/statistics/mixed_effects_stat.py:335: assocated ==> associated
data/nipy-0.4.2/nipy/algorithms/statistics/utils.py:437: Speficically ==> Specifically
data/nipy-0.4.2/nipy/algorithms/statistics/formula/formulae.py:20: evaluted ==> evaluated
data/nipy-0.4.2/nipy/algorithms/statistics/formula/formulae.py:91: explicity ==> explicitly
data/nipy-0.4.2/nipy/algorithms/statistics/formula/formulae.py:146: dum ==> dumb
data/nipy-0.4.2/nipy/algorithms/statistics/formula/formulae.py:862: expresssions ==> expressions
data/nipy-0.4.2/nipy/algorithms/statistics/models/family/family.py:74: aboce ==> above, abode
data/nipy-0.4.2/nipy/algorithms/statistics/models/tests/test_model.py:73: indivudual ==> individual
data/nipy-0.4.2/nipy/algorithms/statistics/tests/test_intrinsic_volumes.py:248: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/statistics/tests/test_intrinsic_volumes.py:249: nd ==> and, 2nd
data/nipy-0.4.2/nipy/algorithms/utils/fast_distance.py:25: fo ==> of, for
data/nipy-0.4.2/nipy/algorithms/utils/matrices.py:18: istead ==> instead
data/nipy-0.4.2/nipy/algorithms/utils/pca.py:169: standarized ==> standardized
data/nipy-0.4.2/nipy/algorithms/utils/tests/test_pca.py:115: standarized ==> standardized
data/nipy-0.4.2/nipy/core/image/image.py:662: corresonds ==> corresponds
data/nipy-0.4.2/nipy/core/image/image_list.py:15: ND ==> AND, 2ND
data/nipy-0.4.2/nipy/core/image/image_list.py:91: correspnding ==> corresponding
data/nipy-0.4.2/nipy/core/image/tests/test_image.py:415: tring ==> trying, string, ring
data/nipy-0.4.2/nipy/core/image/tests/test_image_list.py:109: lenght ==> length
data/nipy-0.4.2/nipy/core/reference/coordinate_map.py:370: compatiblity ==> compatibility
data/nipy-0.4.2/nipy/core/reference/coordinate_map.py:536: homogenous ==> homogeneous
data/nipy-0.4.2/nipy/core/reference/coordinate_map.py:677: seqence ==> sequence
data/nipy-0.4.2/nipy/core/reference/coordinate_map.py:719: seqence ==> sequence
data/nipy-0.4.2/nipy/core/reference/coordinate_map.py:1250: transforation ==> transformation
data/nipy-0.4.2/nipy/core/reference/coordinate_map.py:2192: tranformation ==> transformation
data/nipy-0.4.2/nipy/core/reference/coordinate_system.py:381: ouptut ==> output
data/nipy-0.4.2/nipy/core/reference/tests/test_coordinate_map.py:482: indicies ==> indices
data/nipy-0.4.2/nipy/externals/configobj.py:252: occured ==> occurred
data/nipy-0.4.2/nipy/externals/configobj.py:851: errror ==> error
data/nipy-0.4.2/nipy/externals/configobj.py:855: pased ==> passed
data/nipy-0.4.2/nipy/externals/configobj.py:1538: intentially ==> intentionally
data/nipy-0.4.2/nipy/externals/configobj.py:1736: occured ==> occurred
data/nipy-0.4.2/nipy/externals/configobj.py:1793: intentially ==> intentionally
data/nipy-0.4.2/nipy/externals/validate.py:948: compatibilty ==> compatibility
data/nipy-0.4.2/nipy/externals/validate.py:1235: minumum ==> minimum
data/nipy-0.4.2/nipy/externals/transforms3d/quaternions.py:330: becuase ==> because
data/nipy-0.4.2/nipy/externals/transforms3d/taitbryan.py:12: ist ==> is, it, its, it's, sit, list
data/nipy-0.4.2/nipy/fixes/__init__.py:7: functin ==> function
data/nipy-0.4.2/nipy/fixes/scipy/ndimage/__init__.py:6: runing ==> running, ruining
data/nipy-0.4.2/nipy/io/nifti_ref.py:4: desribed ==> described
data/nipy-0.4.2/nipy/io/nifti_ref.py:79: homogenous ==> homogeneous
data/nipy-0.4.2/nipy/labs/mask.py:285: accross ==> across
data/nipy-0.4.2/nipy/labs/mask.py:440: accross ==> across
data/nipy-0.4.2/nipy/labs/bindings/array.c:2293: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/labs/bindings/array.c:6020: compiletime ==> compile time
data/nipy-0.4.2/nipy/labs/bindings/linalg.c:2167: Substract ==> Subtract
data/nipy-0.4.2/nipy/labs/bindings/linalg.c:2228: Substract ==> Subtract
data/nipy-0.4.2/nipy/labs/bindings/linalg.c:6081: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/labs/bindings/linalg.c:8403: Substract ==> Subtract
data/nipy-0.4.2/nipy/labs/bindings/linalg.c:9304: Substract ==> Subtract
data/nipy-0.4.2/nipy/labs/bindings/linalg.c:10738: compiletime ==> compile time
data/nipy-0.4.2/nipy/labs/bindings/linalg.pyx:177: Substract ==> Subtract
data/nipy-0.4.2/nipy/labs/bindings/wrapper.c:2514: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/bindings/wrapper.c:2676: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/labs/bindings/wrapper.c:6776: compiletime ==> compile time
data/nipy-0.4.2/nipy/labs/datasets/transforms/affine_utils.py:48: tranformation ==> transformation
data/nipy-0.4.2/nipy/labs/datasets/transforms/affine_utils.py:103: nin ==> inn, min, bin, nine
data/nipy-0.4.2/nipy/labs/datasets/transforms/affine_utils.py:104: nin ==> inn, min, bin, nine
data/nipy-0.4.2/nipy/labs/datasets/transforms/affine_utils.py:105: nin ==> inn, min, bin, nine
data/nipy-0.4.2/nipy/labs/datasets/transforms/affine_utils.py:106: nin ==> inn, min, bin, nine
data/nipy-0.4.2/nipy/labs/datasets/transforms/affine_utils.py:107: nin ==> inn, min, bin, nine
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_data.py:35: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_data.py:36: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_field.py:29: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_field.py:30: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_field.py:136: milimeters ==> millimeters
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_field.py:138: milimeters ==> millimeters
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_field.py:141: milimeters ==> millimeters
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_grid.py:46: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_grid.py:47: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_grid.py:65: calulated ==> calculated
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_grid.py:84: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_grid.py:85: Dictionnary ==> Dictionary
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_grid.py:201: milimeters ==> millimeters
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_grid.py:203: milimeters ==> millimeters
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_grid.py:206: milimeters ==> millimeters
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_img.py:41: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_img.py:42: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_img.py:87: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/datasets/volumes/volume_img.py:88: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/glm/glm.py:88: constrast ==> contrast
data/nipy-0.4.2/nipy/labs/glm/glm.py:196: Unknwon ==> Unknown
data/nipy-0.4.2/nipy/labs/glm/kalman.c:1249: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/glm/kalman.c:1717: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/glm/kalman.c:2191: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/labs/glm/kalman.c:5837: compiletime ==> compile time
data/nipy-0.4.2/nipy/labs/group/glm_twolevel.c:2018: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/group/glm_twolevel.c:3307: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/labs/group/glm_twolevel.c:4150: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/labs/group/glm_twolevel.c:7483: compiletime ==> compile time
data/nipy-0.4.2/nipy/labs/group/onesample.c:1541: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/group/onesample.c:2082: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/group/onesample.c:2532: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/group/onesample.c:2963: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/group/onesample.c:3233: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/labs/group/onesample.c:4076: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/labs/group/onesample.c:7982: compiletime ==> compile time
data/nipy-0.4.2/nipy/labs/group/twosample.c:1644: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/group/twosample.c:2273: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/group/twosample.c:2632: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/labs/group/twosample.c:3475: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/labs/group/twosample.c:7185: compiletime ==> compile time
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:38: coo ==> coup
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:58: coo ==> coup
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:67: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:71: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:74: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:74: unsused ==> unused
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:78: coo ==> coup
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:87: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:92: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:94: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:98: coo ==> coup
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:140: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:161: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:204: repesents ==> represents
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:210: unsued ==> unused
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:229: crate ==> create
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:252: repesents ==> represents
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:258: unsued ==> unused
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:279: crate ==> create
data/nipy-0.4.2/nipy/labs/spatial_models/discrete_domain.py:778: correponding ==> corresponding
data/nipy-0.4.2/nipy/labs/spatial_models/hierarchical_parcellation.py:94: posistion ==> position
data/nipy-0.4.2/nipy/labs/spatial_models/hierarchical_parcellation.py:99: aray ==> array
data/nipy-0.4.2/nipy/labs/spatial_models/hierarchical_parcellation.py:118: determin ==> determine
data/nipy-0.4.2/nipy/labs/spatial_models/hierarchical_parcellation.py:126: posistion ==> position
data/nipy-0.4.2/nipy/labs/spatial_models/hierarchical_parcellation.py:131: aray ==> array
data/nipy-0.4.2/nipy/labs/spatial_models/hierarchical_parcellation.py:232: desrired ==> desired
data/nipy-0.4.2/nipy/labs/spatial_models/hierarchical_parcellation.py:448: assesment ==> assessment
data/nipy-0.4.2/nipy/labs/spatial_models/hroi.py:485: finaly ==> finally, finale
data/nipy-0.4.2/nipy/labs/spatial_models/hroi.py:492: oject ==> object
data/nipy-0.4.2/nipy/labs/spatial_models/hroi.py:496: empy ==> empty
data/nipy-0.4.2/nipy/labs/spatial_models/mroi.py:24: mutliple ==> multiple
data/nipy-0.4.2/nipy/labs/spatial_models/mroi.py:109: everytime ==> every time
data/nipy-0.4.2/nipy/labs/spatial_models/parcel_io.py:67: ths ==> the, this
data/nipy-0.4.2/nipy/labs/spatial_models/parcel_io.py:77: ths ==> the, this
data/nipy-0.4.2/nipy/labs/spatial_models/parcel_io.py:78: ths ==> the, this
data/nipy-0.4.2/nipy/labs/spatial_models/parcel_io.py:82: perfomed ==> performed
data/nipy-0.4.2/nipy/labs/spatial_models/parcel_io.py:101: ths ==> the, this
data/nipy-0.4.2/nipy/labs/spatial_models/parcel_io.py:252: fo ==> of, for
data/nipy-0.4.2/nipy/labs/spatial_models/structural_bfls.py:115: coordiante ==> coordinate
data/nipy-0.4.2/nipy/labs/spatial_models/tests/test_bsa.py:22: ths ==> the, this
data/nipy-0.4.2/nipy/labs/spatial_models/tests/test_bsa.py:22: thq ==> the
data/nipy-0.4.2/nipy/labs/spatial_models/tests/test_bsa.py:36: thq ==> the
data/nipy-0.4.2/nipy/labs/spatial_models/tests/test_bsa.py:36: ths ==> the, this
data/nipy-0.4.2/nipy/labs/spatial_models/tests/test_bsa.py:71: thq ==> the
data/nipy-0.4.2/nipy/labs/spatial_models/tests/test_bsa.py:81: ths ==> the, this
data/nipy-0.4.2/nipy/labs/spatial_models/tests/test_bsa.py:83: ths ==> the, this
data/nipy-0.4.2/nipy/labs/spatial_models/tests/test_bsa.py:83: thq ==> the
data/nipy-0.4.2/nipy/labs/spatial_models/tests/test_bsa.py:89: ths ==> the, this
data/nipy-0.4.2/nipy/labs/spatial_models/tests/test_parcel.py:112: overriden ==> overridden
data/nipy-0.4.2/nipy/labs/utils/mask.py:12: doesnot ==> doesn't, does not
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:306: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:538: ths ==> the, this
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:539: thq ==> the
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:543: ths ==> the, this
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:543: thq ==> the
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:625: ths ==> the, this
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:626: thq ==> the
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:630: ths ==> the, this
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:630: thq ==> the
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:741: ths ==> the, this
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:741: thq ==> the
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:756: ths ==> the, this
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:758: thq ==> the
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:773: thq ==> the
data/nipy-0.4.2/nipy/labs/utils/reproducibility_measures.py:773: ths ==> the, this
data/nipy-0.4.2/nipy/labs/utils/routines.c:3397: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/labs/utils/routines.c:4168: fullfill ==> fulfill, fulfil
data/nipy-0.4.2/nipy/labs/utils/routines.c:7704: compiletime ==> compile time
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:4: conatins ==> contains
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:13: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:60: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:65: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:67: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:70: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:72: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:74: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:77: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:80: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:84: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:87: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:90: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:121: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:149: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:156: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:158: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:161: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:163: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:165: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:168: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:171: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:173: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:176: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:179: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:219: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:253: overrided ==> overrode, overridden
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:258: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:260: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:265: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:268: optionnal ==> optional
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:304: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/utils/simul_multisubject_fmri_dataset.py:321: nd ==> and, 2nd
data/nipy-0.4.2/nipy/labs/viz_tools/coord_tools.py:114: althought ==> although
data/nipy-0.4.2/nipy/labs/viz_tools/coord_tools.py:176: untill ==> until
data/nipy-0.4.2/nipy/labs/viz_tools/edge_detect.py:74: taylored ==> tailored
data/nipy-0.4.2/nipy/labs/viz_tools/maps_3d.py:32: wich ==> which
data/nipy-0.4.2/nipy/labs/viz_tools/maps_3d.py:281: explicite ==> explicit, explicitly
data/nipy-0.4.2/nipy/labs/viz_tools/maps_3d.py:383: asymetric ==> asymmetric
data/nipy-0.4.2/nipy/labs/viz_tools/slicers.py:35: evalution ==> evaluation, evolution
data/nipy-0.4.2/nipy/labs/viz_tools/slicers.py:83: coordinnate ==> coordinate
data/nipy-0.4.2/nipy/labs/viz_tools/slicers.py:219: whish ==> wish
data/nipy-0.4.2/nipy/labs/viz_tools/slicers.py:485: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/viz_tools/slicers.py:536: succesful ==> successful
data/nipy-0.4.2/nipy/labs/viz_tools/slicers.py:561: coordinnates ==> coordinates
data/nipy-0.4.2/nipy/labs/viz_tools/slicers.py:610: dictionnary ==> dictionary
data/nipy-0.4.2/nipy/labs/viz_tools/slicers.py:674: succesful ==> successful
data/nipy-0.4.2/nipy/labs/viz_tools/slicers.py:701: coordinnates ==> coordinates
data/nipy-0.4.2/nipy/labs/viz_tools/activation_maps.py:78: explicite ==> explicit, explicitly
data/nipy-0.4.2/nipy/labs/viz_tools/activation_maps.py:116: whish ==> wish
data/nipy-0.4.2/nipy/labs/viz_tools/activation_maps.py:314: explicite ==> explicit, explicitly
data/nipy-0.4.2/nipy/labs/viz_tools/activation_maps.py:324: automaticaly ==> automatically
data/nipy-0.4.2/nipy/labs/viz_tools/activation_maps.py:345: whish ==> wish
data/nipy-0.4.2/nipy/labs/viz_tools/activation_maps.py:378: asymetric ==> asymmetric
data/nipy-0.4.2/nipy/modalities/fmri/design.py:92: stuctured ==> structured
data/nipy-0.4.2/nipy/modalities/fmri/glm.py:80: constrast ==> contrast
data/nipy-0.4.2/nipy/modalities/fmri/glm.py:253: constrasts ==> contrasts
data/nipy-0.4.2/nipy/modalities/fmri/glm.py:334: Unknwon ==> Unknown
data/nipy-0.4.2/nipy/modalities/fmri/glm.py:394: consistant ==> consistent
data/nipy-0.4.2/nipy/modalities/fmri/utils.py:5: expresion ==> expression
data/nipy-0.4.2/nipy/modalities/fmri/fmristat/hrf.py:78: witn ==> with
data/nipy-0.4.2/nipy/modalities/fmri/fmristat/model.py:250: imput ==> input
data/nipy-0.4.2/nipy/modalities/fmri/fmristat/model.py:252: ND ==> AND, 2ND
data/nipy-0.4.2/nipy/testing/tests/test_doctester.py:29: tranformation ==> transformation
data/nipy-0.4.2/nipy/utils/arrays.py:21: seqence ==> sequence
data/nipy-0.4.2/nipy/utils/perlpie.py:33: occurences ==> occurrences
data/nipy-0.4.2/nipy/utils/perlpie.py:46: occurences ==> occurrences
data/nipy-0.4.2/nipy/utils/perlpie.py:81: occurences ==> occurrences
data/nipy-0.4.2/scripts/nipy_4d_realign:25: aquisition ==> acquisition
data/nipy-0.4.2/debian/changelog:83: pathes ==> paths
data/nipy-0.4.2/debian/changelog:224: successfull ==> successful
data/nipy-0.4.2/debian/rules:11: seing ==> seeing
data/nipy-0.4.2/debian/patches/changeset_7529ffc4585ba67171219aa29a3f6c5df9963f1d.diff:49: fo ==> of, for
data/nipy-0.4.2/debian/patches/changeset_9f435191a420bf416ded3c32123fb2aa1163256a.diff:2: explicitely ==> explicitly
data/nipy-0.4.2/.pc/changeset_7529ffc4585ba67171219aa29a3f6c5df9963f1d.diff/nipy/algorithms/clustering/von_mises_fisher_mixture.py:59: fo ==> of, for
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data/nipy-0.4.2/.pc/changeset_7529ffc4585ba67171219aa29a3f6c5df9963f1d.diff/nipy/algorithms/clustering/von_mises_fisher_mixture.py:236: fo ==> of, for
data/nipy-0.4.2/.pc/changeset_7529ffc4585ba67171219aa29a3f6c5df9963f1d.diff/nipy/algorithms/clustering/von_mises_fisher_mixture.py:279: fo ==> of, for
data/nipy-0.4.2/.pc/changeset_7529ffc4585ba67171219aa29a3f6c5df9963f1d.diff/nipy/algorithms/clustering/von_mises_fisher_mixture.py:308: fo ==> of, for
data/nipy-0.4.2/.pc/changeset_7529ffc4585ba67171219aa29a3f6c5df9963f1d.diff/nipy/algorithms/clustering/von_mises_fisher_mixture.py:344: fo ==> of, for
data/nipy-0.4.2/.pc/python3/examples/algorithms/bayesian_gaussian_mixtures.py:9: sucessively ==> successively
data/nipy-0.4.2/.pc/python3/examples/labs/blob_extraction.py:6: scipt ==> script, skipped
data/nipy-0.4.2/.pc/python3/examples/labs/example_glm.py:101: constrast ==> contrast
data/nipy-0.4.2/.pc/python3/examples/labs/histogram_fits.py:6: perfoms ==> performs
data/nipy-0.4.2/.pc/python3/examples/labs/permutation_test_fakedata.py:92: controled ==> controlled
data/nipy-0.4.2/.pc/python3/examples/labs/two_sample_mixed_effects.py:36: hist ==> heist, his
data/nipy-0.4.2/.pc/python3/examples/labs/watershed_labeling.py:6: scipt ==> script, skipped
data/nipy-0.4.2/.pc/python3/examples/labs/write_paradigm_file.py:30: substract ==> subtract
data/nipy-0.4.2/.pc/python3/examples/labs/need_data/example_roi_and_glm.py:116: specifiy ==> specify
data/nipy-0.4.2/.pc/python3/examples/labs/need_data/example_roi_and_glm.py:119: constrast ==> contrast
data/nipy-0.4.2/.pc/python3/examples/labs/need_data/first_level_fiac.py:77: implictly ==> implicitly
data/nipy-0.4.2/.pc/python3/examples/labs/need_data/histogram_fits.py:6: perfoms ==> performs
data/nipy-0.4.2/.pc/python3/examples/labs/need_data/parcel_multisubj.py:42: ths ==> the, this
data/nipy-0.4.2/.pc/python3/examples/labs/need_data/parcel_multisubj.py:53: ths ==> the, this
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:182: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:185: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:201: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:204: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:205: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:210: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:211: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:212: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:227: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:228: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:229: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:231: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:232: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:233: fo ==> of, for
data/nipy-0.4.2/.pc/python3/lib/lapack_lite/remake/make_lite.py:234: fo ==> of, for
data/nipy-0.4.2/.pc/python3/nipy/algorithms/clustering/tests/test_gmm.py:165: initilizations ==> initializations
data/nipy-0.4.2/.pc/python3/nipy/algorithms/registration/tests/test_histogram_registration.py:37: thI ==> the, this
data/nipy-0.4.2/.pc/python3/nipy/labs/viz_tools/activation_maps.py:78: explicite ==> explicit, explicitly
data/nipy-0.4.2/.pc/python3/nipy/labs/viz_tools/activation_maps.py:116: whish ==> wish
data/nipy-0.4.2/.pc/python3/nipy/labs/viz_tools/activation_maps.py:314: explicite ==> explicit, explicitly
data/nipy-0.4.2/.pc/python3/nipy/labs/viz_tools/activation_maps.py:324: automaticaly ==> automatically
data/nipy-0.4.2/.pc/python3/nipy/labs/viz_tools/activation_maps.py:345: whish ==> wish
data/nipy-0.4.2/.pc/python3/nipy/labs/viz_tools/activation_maps.py:378: asymetric ==> asymmetric
data/nipy-0.4.2/.pc/python3/scripts/nipy_4d_realign:25: aquisition ==> acquisition