Home
last modified time | relevance | path

Searched refs:million (Results 1 – 25 of 88) sorted by relevance

1234

/external/icu/icu4c/source/data/rbnf/
Dnb.txt29 "1000000: \u00E9n million[ >>];",
59 "1000000: \u00E9n million[ >>];",
106 "1000000: \u00E9n million[ >>];",
145 "1000000: \u00E9n million>%%ord-masc-te>;",
146 "2000000: <%%spellout-cardinal-reale< million>%%ord-masc-teer>;",
193 "1000000: \u00E9n million>%%ord-neut-te>;",
194 "2000000: <%%spellout-cardinal-reale< million>%%ord-neut-teer>;",
241 "1000000: \u00E9n million>%%ord-fem-te>;",
242 "2000000: <%%spellout-cardinal-reale< million>%%ord-fem-teer>;",
289 "1000000: \u00E9n million>%%ord-plural-te>;",
[all …]
Dda.txt52 "1000000: million[ >>];",
74 "1000000: en million[ >>];",
111 "1000000: million>%%ord-te-c>;",
112 "2000000: <%spellout-numbering< million>%%ord-teer-c>;",
148 "1000000: million>%%ord-teer-n>;",
149 "2000000: <%spellout-cardinal-neuter< million>%%ord-teer-n>;",
Dga.txt191 "2: =%%million=;",
192 "11: =%%million= d\u00E9ag;",
193 "20: =%%million=;",
194 "%%million:",
200 "0: ' =%%million=;",
201 "1: ' is =%%spellout-cardinal-prefixpart= =%%million=;",
Den.txt119 "1000000: << million[ >>];",
141 "1000000: << million[>%%commas>];",
180 "1000000: <%spellout-numbering< million>%%th>;",
203 "1000000: <%spellout-numbering-verbose< million>%%commas-o>;",
Dfr_CH.txt63 "1000000: un million[ >>];",
98 "1000000: un million[ >>];",
162 "1000000: <%%spellout-leading< million>%%cents-o>;",
Dfr_BE.txt63 "1000000: un million[ >>];",
98 "1000000: un million[ >>];",
161 "1000000: <%%spellout-leading< million>%%cents-o>;",
Dfr.txt81 "1000000: un million[ >>];",
117 "1000000: un million[ >>];",
182 "1000000: <%%spellout-leading< million>%%cents-o>;",
Den_IN.txt153 "1000000: <%spellout-numbering< million>%%th>;",
176 "1000000: <%spellout-numbering-verbose< million>%%commas-o>;",
Dnn.txt60 "1000000: \u00E9in million[ >>];",
/external/crcalc/tests/src/com/hp/creals/
DCRTest.java108 BigInteger million = BigInteger.valueOf(1000*1000); in testCR() local
110 CR huge = CR.valueOf(million.multiply(million).multiply(thousand)); in testCR()
/external/skqp/site/dev/testing/
Dindex.md14 SKP files, a binary format for draw commands, across up to one million websites.
/external/skia/site/docs/dev/testing/
D_index.md20 SKP files, a binary format for draw commands, across up to one million websites.
/external/flatbuffers/docs/source/
DBenchmarks.md26 | Decode + Traverse + Dealloc (1 million times, seconds) | 0.08 | 302 …
28 | Encode (1 million times, seconds) | 3.2 | 185 …
/external/python/cpython2/Misc/NEWS.d/
D2.7.4.rst35 Fix test_io when the default OS pipe buffer size is larger than one million
/external/python/cffi/doc/misc/
Dgrant-cffi-1.0.rst32 so far: http://pypi-ranking.info/alltime records almost 7 million
34 million downloads). CFFI works on any Python >= 2.6, including 3.x,
/external/icu/icu4c/source/data/locales/
Dtk.txt50 one{"0 million"}
51 other{"0 million"}
54 one{"00 million"}
55 other{"00 million"}
58 one{"000 million"}
59 other{"000 million"}
Duz.txt77 one{"0 million"}
78 other{"0 million"}
81 one{"00 million"}
82 other{"00 million"}
85 one{"000 million"}
86 other{"000 million"}
Den.txt43 one{"0 million"}
44 other{"0 million"}
47 one{"00 million"}
48 other{"00 million"}
51 one{"000 million"}
52 other{"000 million"}
/external/tensorflow/tensorflow/lite/micro/examples/person_detection/
Dtraining_a_model.md140 one-million steps, but you should be able to get a fairly accurate model after
176 tell when to cut it off. In our case we default to a million steps, since
193 through the training we are. Since we've set the limit as a million steps, in
197 a million steps will take about 70 hours, or three days. The other crucial
276 a fully-trained model to achieve an accuracy of around 84% after one million
449 reducing the number of computations down to around 60 million per inference, by
/external/icu/icu4c/source/data/unit/
Duz.txt132 dnam{"qism/million"}
133 one{"{0} qism/million"}
134 other{"{0} qism/million"}
1360 dnam{"qism/million"}
1361 one{"{0} qism/million"}
1362 other{"{0} qism/million"}
Dfr_CA.txt72 dnam{"parties par million"}
73 one{"{0} partie par million"}
74 other{"{0} parties par million"}
Dar_XB.txt138 dnam{"؜‮parts‬؜ ؜‮per‬؜ ؜‮million‬؜"}
139 one{"{0} ؜‮part‬؜ ؜‮per‬؜ ؜‮million‬؜"}
140 other{"{0} ؜‮parts‬؜ ؜‮per‬؜ ؜‮million‬؜"}
1116 dnam{"؜‮parts‬؜/؜‮million‬؜"}
Dha.txt139 dnam{"parts per million"}
140 one{"part per million {0}"}
141 other{"parts per million {0}"}
1182 dnam{"parts/million"}
Dceb.txt141 dnam{"mga part per million"}
142 one{"{0} ka part per million"}
143 other{"{0} ka mga part per million"}
1150 dnam{"mga part/million"}
/external/rust/crates/walkdir/
DREADME.md106 local file system (SSD, ~3 million entries). More precisely, I am reasonably

1234