| /dports/math/R-cran-spData/spData/man/ |
| H A D | nz_height.Rd | 37 top_n(n = 100, wt = elevation)
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| /dports/net-mgmt/flowd/flowd-0.9.1/tools/ |
| H A D | stats.py | 220 def toplist(self, which = "octets", by_key = False, top_n = 10): argument
226 if top_n is None:
228 return d[0:top_n]
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| /dports/sysutils/lxqt-config/lxqt-config-1.0.0/lxqt-config-file-associations/ |
| H A D | applicationchooser.cpp | 111 int top_n = tree->topLevelItemCount(); in updateAllIcons() local
112 for(int top_i = 0; top_i < top_n; ++top_i) { in updateAllIcons()
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| /dports/graphics/tesseract/tesseract-5.0.0/src/lstm/ |
| H A D | recodebeam.h | 320 void ComputeTopN(const float *outputs, int num_outputs, int top_n);
323 int top_n);
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| /dports/math/R-cran-recipes/recipes/man/ |
| H A D | step_other.Rd | 127 # okc_tr \%>\% count(diet, sort = TRUE) \%>\% top_n(4)
128 # okc_tr \%>\% count(location, sort = TRUE) \%>\% top_n(3)
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| /dports/math/py-spopt/spopt-0.2.1/ |
| H A D | README.md | 29 mexico["count"], threshold_name, threshold, top_n = 1, "count", 4, 2
31 model = spopt.MaxPHeuristic(mexico, w, attrs, threshold_name, threshold, top_n)
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| H A D | PKG-INFO | 58 mexico["count"], threshold_name, threshold, top_n = 1, "count", 4, 2
60 model = spopt.MaxPHeuristic(mexico, w, attrs, threshold_name, threshold, top_n)
|
| /dports/math/py-spopt/spopt-0.2.1/spopt.egg-info/ |
| H A D | PKG-INFO | 58 mexico["count"], threshold_name, threshold, top_n = 1, "count", 4, 2
60 model = spopt.MaxPHeuristic(mexico, w, attrs, threshold_name, threshold, top_n)
|
| /dports/comms/xastir/Xastir-Release-2.1.8/src/ |
| H A D | map_geo.c | 682 double top_n=0, left_e=0, bottom_n=0, right_e=0, map_top_n=0, map_left_e=0;
1362 &top_n,
1395 map_top_n = (int)((top_n / t_scale) + 1) * t_scale;
1495 url_n = (int)(top_n / t_scale); // The request URL does not use the
|
| /dports/databases/percona-toolkit/percona-toolkit-3.3.0/t/lib/ |
| H A D | QueryReportFormatter.t | 627 my $top_n = scalar @$worst;
629 foreach my $rank ( 1 .. $top_n ) {
|
| /dports/textproc/py-nltk/nltk-3.4.1/nltk/sentiment/ |
| H A D | util.py | 567 unigram_feats = sentim_analyzer.unigram_word_feats(all_words, top_n=1000)
572 [tweet[0] for tweet in training_tweets], top_n=100, min_freq=12
|
| /dports/devel/liborcus/liborcus-0.16.1/include/orcus/spreadsheet/ |
| H A D | types.hpp | 325 top_n, enumerator
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| /dports/misc/orange3/orange3-3.29.1/Orange/widgets/unsupervised/ |
| H A D | owhierarchicalclustering.py | 139 top_n = settings.Setting(3) variable in OWHierarchicalClustering
733 self.select_top_n(self.top_n)
835 sel = "top {} clusters".format(self.top_n)
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| /dports/lang/cython/Cython-0.29.24/ |
| H A D | runtests.py | 561 def __init__(self, top_n=8): argument
562 self.top_n = top_n
571 push = heapq.heappushpop if len(top) >= self.top_n else heapq.heappush
589 push = heapq.heappushpop if len(top) >= self.top_n else heapq.heappush
601 … ', '.join("'{2}:{1}' ({0:.2f}s)".format(*item) for item in heapq.nlargest(self.top_n, top))))
|
| /dports/sysutils/fselect/fselect-0.7.7/src/util/ |
| H A D | mod.rs | 4 mod top_n;
43 pub use self::top_n::TopN;
|
| /dports/biology/py-goatools/goatools-1.1.6/goatools/cli/ |
| H A D | compare_gos.py | 90 top_n=None,
|
| /dports/databases/timescaledb/timescaledb-2.5.1/tsl/test/expected/ |
| H A D | dist_query.out | 1036 WITH top_n AS (
1045 FROM hyper INNER JOIN top_n USING (device)
1080 Output: top_n.device
2031 WITH top_n AS (
2075 Output: top_n.device
2772 WITH top_n AS (
2798 Output: top_n.device
2799 -> Subquery Scan on top_n
3740 WITH top_n AS (
4764 WITH top_n AS (
[all …]
|
| /dports/lang/cython-devel/cython-2b1e743/ |
| H A D | runtests.py | 640 def __init__(self, top_n=8): argument
641 self.top_n = top_n
650 push = heapq.heappushpop if len(top) >= self.top_n else heapq.heappush
668 push = heapq.heappushpop if len(top) >= self.top_n else heapq.heappush
680 … ', '.join("'{2}:{1}' ({0:.2f}s)".format(*item) for item in heapq.nlargest(self.top_n, top))))
|
| /dports/mail/mimedefang/mimedefang-2.84/contrib/graphdefang-0.91/ |
| H A D | graphdefanglib.pl | 453 if ($settings->{top_n}) {
|
| /dports/sysutils/R-cran-ps/ps/ |
| H A D | README.md | 711 top_n(3, rss) %>%
727 top_n(3, cpu_time) %>%
|
| /dports/math/R-cran-dplyr/dplyr/ |
| H A D | NEWS.md | 222 maximum values of a variable, taking over from the confusing `top_n()`.
411 * `top_n()` has been superseded by`slice_min()`/`slice_max()`. See `?top_n`
532 * `top_frac(data, proportion)` is a shorthand for `top_n(data, proportion * n())` (#4017).
554 * `top_n()` quotes its `n` argument, `n` no longer needs to be constant for all groups (#4017).
1084 * `top_n()` now executes operations lazily for compatibility with
1237 * `order_by()`, `top_n()`, `sample_n()` and `sample_frac()` now use
1833 * `top_n()` can now also select bottom `n` values by passing a negative value
2275 * `tally()` and `top_n()` work consistently: neither accidentally
2513 * `top_n()` returns `n` rows instead of `n - 1` (@leondutoit, #367).
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| H A D | NAMESPACE | 435 export(top_n)
|
| /dports/devel/liborcus/liborcus-0.16.1/src/liborcus/ |
| H A D | xlsx_conditional_format_context.cpp | 318 m_cond_format.set_operator(spreadsheet::condition_operator_t::top_n); in set_type()
|
| /dports/textproc/py-whoosh/Whoosh-2.7.4/src/whoosh/ |
| H A D | highlight.py | 850 sorted_ids = sorted(docnum for _, docnum in results.top_n)
|
| /dports/biology/ncbi-cxx-toolkit/ncbi_cxx--25_2_0/src/algo/sequence/ |
| H A D | adapter_search.cpp | 376 while(top_words.size() > m_params.top_n) { in x_FindAdapterSeed()
|