/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/cross_decomposition/tests/ |
H A D | test_pls.py | 389 X_orig = X.copy() 393 assert_array_equal(X, X_orig) 398 assert_array_almost_equal(X, X_orig) 403 X_orig = X.copy() 406 assert_array_almost_equal(X, X_orig) 408 X_orig = X.copy() 411 assert_array_almost_equal(X, X_orig)
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/dports/science/py-scikit-optimize/scikit-optimize-0.9.0/skopt/space/ |
H A D | transformers.py | 273 X_orig = X * (self.high - self.low) + self.low 275 return np.round(X_orig).astype(np.int) 276 return X_orig
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/dports/devel/py-numba/numba-0.51.2/numba/tests/ |
H A D | test_linalg.py | 782 X_orig = np.copy(X) 792 np.testing.assert_allclose(X, X_orig) 795 np.testing.assert_allclose(X, X_orig) 1110 X_orig = np.copy(X) 1227 X_orig = np.copy(X) 1237 np.testing.assert_allclose(X, X_orig) 1347 X_orig = np.copy(X) 1639 X_orig = np.copy(X) 1782 X_orig = np.copy(X) 2055 X_orig = np.copy(X) [all …]
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/dports/math/taucs/taucs-2.2_23/progs/ |
H A D | iter.c | 172 double* X_orig; in main() local 536 X_orig = X; in main() 541 X[i] = X_orig[i]; in main() 542 X[i+N] = -X_orig[i]; in main() 886 X = X_orig; in main()
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H A D | direct_coverage.c | 809 double* X_orig; in iter_main() local 1173 X_orig = X; in iter_main() 1178 X[i] = X_orig[i]; in iter_main() 1179 X[i+N] = -X_orig[i]; in iter_main() 1523 X = X_orig; in iter_main()
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/dports/multimedia/handbrake/ffmpeg-4.4/libavcodec/ |
H A D | opusenc_psy.c | 37 float *X_orig = f->block[0].coeffs + (ff_celt_freq_bands[band] << f->size); in pvq_band_cost() local 42 memcpy(X, X_orig, band_size*sizeof(float)); in pvq_band_cost() 64 err_x += (X[i] - X_orig[i])*(X[i] - X_orig[i]); in pvq_band_cost()
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/dports/multimedia/ffmpeg/ffmpeg-4.4.1/libavcodec/ |
H A D | opusenc_psy.c | 37 float *X_orig = f->block[0].coeffs + (ff_celt_freq_bands[band] << f->size); in pvq_band_cost() local 42 memcpy(X, X_orig, band_size*sizeof(float)); in pvq_band_cost() 64 err_x += (X[i] - X_orig[i])*(X[i] - X_orig[i]); in pvq_band_cost()
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/dports/multimedia/gstreamer1-libav/gst-libav-1.16.2/gst-libs/ext/libav/libavcodec/ |
H A D | opusenc_psy.c | 37 float *X_orig = f->block[0].coeffs + (ff_celt_freq_bands[band] << f->size); in pvq_band_cost() local 42 memcpy(X, X_orig, band_size*sizeof(float)); in pvq_band_cost() 64 err_x += (X[i] - X_orig[i])*(X[i] - X_orig[i]); in pvq_band_cost()
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/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/third_party/ffmpeg/libavcodec/ |
H A D | opusenc_psy.c | 37 float *X_orig = f->block[0].coeffs + (ff_celt_freq_bands[band] << f->size); in pvq_band_cost() local 42 memcpy(X, X_orig, band_size*sizeof(float)); in pvq_band_cost() 64 err_x += (X[i] - X_orig[i])*(X[i] - X_orig[i]); in pvq_band_cost()
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/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/ffmpeg/libavcodec/ |
H A D | opusenc_psy.c | 37 float *X_orig = f->block[0].coeffs + (ff_celt_freq_bands[band] << f->size); in pvq_band_cost() local 42 memcpy(X, X_orig, band_size*sizeof(float)); in pvq_band_cost() 64 err_x += (X[i] - X_orig[i])*(X[i] - X_orig[i]); in pvq_band_cost()
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/dports/math/lcalc/lcalc-1.23/include/ |
H A D | cmdline.h | 56 char * X_orig; /**< @brief Used with value-line-segment original value given at command line. */ member
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/dports/math/lcalc/lcalc-1.23/src/ |
H A D | cmdline.c | 166 args_info->X_orig = NULL; in clear_args() 361 free_string_field (&(args_info->X_orig)); in cmdline_parser_release() 489 write_into_file(outfile, "X", args_info->X_orig, 0); in cmdline_parser_dump() 925 &(args_info->X_orig), &(args_info->X_given), in cmdline_parser_internal()
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/impute/tests/ |
H A D | test_impute.py | 492 X_orig = _sparse_random_matrix(5, 5, density=0.75, random_state=0) 495 X = X_orig.copy().toarray() 502 X = X_orig.copy() 509 X = X_orig.copy().toarray() 516 X = X_orig.copy().tocsc() 523 X = X_orig.copy()
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/utils/ |
H A D | estimator_checks.py | 3761 X_orig = rng.normal(size=(150, 8)) 3764 X_orig -= X_orig.min() + 0.5 3765 X_orig = _enforce_estimator_tags_x(estimator, X_orig) 3766 X_orig = _pairwise_estimator_convert_X(X_orig, estimator) 3767 n_samples, n_features = X_orig.shape 3770 X = pd.DataFrame(X_orig, columns=names)
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/dports/math/py-pandas/pandas-1.2.5/pandas/tests/frame/ |
H A D | test_arithmetic.py | 1393 X_orig = DataFrame( 1398 Z = 100 * X_orig.iloc[:, 1:-1].copy() 1403 X = X_orig.copy() 1409 X = X_orig.copy() 1420 X = X_orig.copy() 1426 X = X_orig.copy()
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/preprocessing/tests/ |
H A D | test_data.py | 623 X_orig = null_transform.inverse_transform(X_null) 624 assert_array_equal(X_orig.toarray(), X_null.toarray()) 625 assert_array_equal(X_orig.toarray(), X.toarray()) 823 X_orig = null_transform.inverse_transform(X_null) 824 assert_array_equal(X_orig.data, X_csr.data) 962 X_orig = null_transform.inverse_transform(X_null) 963 assert_array_equal(X_orig.data, X_csr.data)
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/dports/science/py-nilearn/nilearn-0.8.1/nilearn/glm/tests/ |
H A D | test_first_level.py | 352 X_orig = np.random.RandomState(2).randn(p, q) 359 X = X_orig.copy()
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/dports/ftp/wget/wget-1.21.2/po/ |
H A D | nb.po | 2270 "X_orig\n" 2272 " -K, --backup-converted sikkerhetskopier fil X som X_orig før den " 2280 " -K, --backup-converted sikkerhetskopier fil X som X_orig før den "
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H A D | ko.po | 2220 "X_orig\n" 2222 " -K, --backup-converted X 파일 변환 전, X_orig 처럼 백업합니다\n"
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H A D | sr.po | 2288 "X_orig\n" 2291 "резерву „X_orig“\n"
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H A D | ja.po | 2227 "X_orig\n" 2229 " -K, --backup-converted リンク変換前のファイル X を X_orig として"
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H A D | ru.po | 2248 "X_orig\n" 2251 " копию в виде X_orig\n"
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H A D | zh_CN.po | 2135 "X_orig\n" 2137 " -K, --backup-converted 在转换文件 X 前先将它备份为 X_orig。\n"
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H A D | uk.po | 2317 "X_orig\n" 2320 "копію X_orig\n"
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H A D | zh_TW.po | 2144 "X_orig\n" 2145 msgstr " -K, --backup-converted 將轉換檔案 X 前將其備份為 X_orig\n"
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