| /external/clang/lib/StaticAnalyzer/Core/ |
| CheckerContext.cpp | 49 // similar names), only perform fuzzy name matching when it's a builtin.
|
| /external/deqp/doc/testspecs/GLES31/ |
| functional.blend_equation_advanced.txt | 43 modes other than HSL, bilinear comparison is used. in HSL modes fuzzy
|
| /external/python/cpython2/Lib/bsddb/test/ |
| test_dbtables.py | 177 'e': 'Fuzzy wuzzy was a bear'})
183 'e': 'fuzzy was here'})
189 'e': 'Fuzzy wuzzy is a bear'})
204 conditions={'e': dbtables.PrefixCond('Fuzzy')})
|
| /libcore/ojluni/src/main/java/java/util/ |
| RandomAccess.java | 45 * access is often fuzzy. For example, some <tt>List</tt> implementations
|
| /packages/apps/Contacts/src/com/android/contacts/interactions/ |
| SmsInteractionsLoader.java | 37 * numbers using fuzzy matching. The next step is to run another query against these threadIds
|
| /prebuilts/gdb/darwin-x86/lib/python2.7/bsddb/test/ |
| test_dbtables.py | 179 'e': 'Fuzzy wuzzy was a bear'})
185 'e': 'fuzzy was here'})
191 'e': 'Fuzzy wuzzy is a bear'})
206 conditions={'e': dbtables.PrefixCond('Fuzzy')})
|
| /prebuilts/gdb/linux-x86/lib/python2.7/bsddb/test/ |
| test_dbtables.py | 179 'e': 'Fuzzy wuzzy was a bear'})
185 'e': 'fuzzy was here'})
191 'e': 'Fuzzy wuzzy is a bear'})
206 conditions={'e': dbtables.PrefixCond('Fuzzy')})
|
| /prebuilts/python/darwin-x86/2.7.5/lib/python2.7/bsddb/test/ |
| test_dbtables.py | 179 'e': 'Fuzzy wuzzy was a bear'})
185 'e': 'fuzzy was here'})
191 'e': 'Fuzzy wuzzy is a bear'})
206 conditions={'e': dbtables.PrefixCond('Fuzzy')})
|
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/bsddb/test/ |
| test_dbtables.py | 179 'e': 'Fuzzy wuzzy was a bear'})
185 'e': 'fuzzy was here'})
191 'e': 'Fuzzy wuzzy is a bear'})
206 conditions={'e': dbtables.PrefixCond('Fuzzy')})
|
| /external/selinux/policycoreutils/po/ |
| fi.po | [all...] |
| ar.po | [all...] |
| ca.po | [all...] |
| da.po | [all...] |
| en_GB.po | [all...] |
| nl.po | [all...] |
| pt.po | [all...] |
| sr.po | [all...] |
| sr@latin.po | [all...] |
| mai.po | [all...] |
| /external/libexif/po/ |
| it.po | 654 #, fuzzy
675 #, fuzzy
928 #, fuzzy
1100 #, fuzzy
1105 #, fuzzy
1110 #, fuzzy
[all...] |
| /external/ImageMagick/MagickCore/ |
| segment.c | 13 % MagickCore Methods to Segment an Image with Thresholding Fuzzy c-Means %
37 % components and identifying units that are homogeneous with the fuzzy
44 % the closest class with the fuzzy c-means technique.
46 % The fuzzy c-Means algorithm can be summarized as follows:
63 % pass is classified using the fuzzy c-Means technique. It is
67 % The fuzzy c-Means technique attempts to cluster a pixel by finding
70 % which the fuzzy membership has a maximum value.
78 % Algorithm Based on the Thresholding and the Fuzzy c-Means
223 % assigned to the closest class based on the fuzzy c-Means technique.
460 (void) FormatLocaleFile(stdout,"Fuzzy C-means Statistics\n")
[all...] |
| /external/e2fsprogs/po/ |
| nl.po | 191 #, fuzzy
[all...] |
| /cts/tests/tests/renderscript/src/android/renderscript/cts/refocus/ |
| layered_filter_fast_d1new.rs | 510 // Because matte !=0 here, fuzzy->a < g_kAlmostOne must be true.
514 // Accumulates the filtering result to fuzzy.
563 // Because matte !=0 here, fuzzy->a < g_kAlmostOne must be true.
567 // Accumulates the filtering result to fuzzy.
617 // sharp = (1 - factor) * sharp + factor * fuzzy.
664 // sharp = (1 - factor) * sharp + factor * fuzzy.
[all...] |
| /frameworks/rs/tests/java_api/Refocus/src/com/android/rs/test/ |
| layered_filter_fast_d1new.rs | 507 // Because matte !=0 here, fuzzy->a < g_kAlmostOne must be true.
511 // Accumulates the filtering result to fuzzy.
560 // Because matte !=0 here, fuzzy->a < g_kAlmostOne must be true.
564 // Accumulates the filtering result to fuzzy.
614 // sharp = (1 - factor) * sharp + factor * fuzzy.
661 // sharp = (1 - factor) * sharp + factor * fuzzy.
[all...] |
| /external/vixl/doc/aarch32/design/ |
| code-generation-aarch32.md | 37 ### Fuzzy Cases: Approximate Size Limits
48 much_ code. This is very fuzzy, and in practice means avoiding pools, but
|
