Searched refs:million (Results 1 – 25 of 88) sorted by relevance
1234
/external/icu/icu4c/source/data/rbnf/ |
D | nb.txt | 29 "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 …]
|
D | da.txt | 52 "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>;",
|
D | ga.txt | 191 "2: =%%million=;", 192 "11: =%%million= d\u00E9ag;", 193 "20: =%%million=;", 194 "%%million:", 200 "0: ' =%%million=;", 201 "1: ' is =%%spellout-cardinal-prefixpart= =%%million=;",
|
D | en.txt | 119 "1000000: << million[ >>];", 141 "1000000: << million[>%%commas>];", 180 "1000000: <%spellout-numbering< million>%%th>;", 203 "1000000: <%spellout-numbering-verbose< million>%%commas-o>;",
|
D | fr_CH.txt | 63 "1000000: un million[ >>];", 98 "1000000: un million[ >>];", 162 "1000000: <%%spellout-leading< million>%%cents-o>;",
|
D | fr_BE.txt | 63 "1000000: un million[ >>];", 98 "1000000: un million[ >>];", 161 "1000000: <%%spellout-leading< million>%%cents-o>;",
|
D | fr.txt | 81 "1000000: un million[ >>];", 117 "1000000: un million[ >>];", 182 "1000000: <%%spellout-leading< million>%%cents-o>;",
|
D | en_IN.txt | 153 "1000000: <%spellout-numbering< million>%%th>;", 176 "1000000: <%spellout-numbering-verbose< million>%%commas-o>;",
|
D | nn.txt | 60 "1000000: \u00E9in million[ >>];",
|
/external/crcalc/tests/src/com/hp/creals/ |
D | CRTest.java | 108 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/ |
D | index.md | 14 SKP files, a binary format for draw commands, across up to one million websites.
|
/external/skia/site/docs/dev/testing/ |
D | _index.md | 20 SKP files, a binary format for draw commands, across up to one million websites.
|
/external/flatbuffers/docs/source/ |
D | Benchmarks.md | 26 | 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/ |
D | 2.7.4.rst | 35 Fix test_io when the default OS pipe buffer size is larger than one million
|
/external/python/cffi/doc/misc/ |
D | grant-cffi-1.0.rst | 32 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/ |
D | tk.txt | 50 one{"0 million"} 51 other{"0 million"} 54 one{"00 million"} 55 other{"00 million"} 58 one{"000 million"} 59 other{"000 million"}
|
D | uz.txt | 77 one{"0 million"} 78 other{"0 million"} 81 one{"00 million"} 82 other{"00 million"} 85 one{"000 million"} 86 other{"000 million"}
|
D | en.txt | 43 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/ |
D | training_a_model.md | 140 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/ |
D | uz.txt | 132 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"}
|
D | fr_CA.txt | 72 dnam{"parties par million"} 73 one{"{0} partie par million"} 74 other{"{0} parties par million"}
|
D | ar_XB.txt | 138 dnam{"parts per million"} 139 one{"{0} part per million"} 140 other{"{0} parts per million"} 1116 dnam{"parts/million"}
|
D | ha.txt | 139 dnam{"parts per million"} 140 one{"part per million {0}"} 141 other{"parts per million {0}"} 1182 dnam{"parts/million"}
|
D | ceb.txt | 141 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/ |
D | README.md | 106 local file system (SSD, ~3 million entries). More precisely, I am reasonably
|
1234