| /dports/games/openrct2/OpenRCT2-0.3.5.1/src/openrct2/ride/ |
| H A D | RideRatings.cpp | 1761 ride->ratings = ratings; in ride_ratings_calculate_spiral_roller_coaster()
1799 ride->ratings = ratings; in ride_ratings_calculate_stand_up_roller_coaster()
1839 ride->ratings = ratings; in ride_ratings_calculate_suspended_swinging_coaster()
1882 ride->ratings = ratings; in ride_ratings_calculate_inverted_roller_coaster()
1920 ride->ratings = ratings; in ride_ratings_calculate_junior_roller_coaster()
1951 ride->ratings = ratings; in ride_ratings_calculate_miniature_railway()
1986 ride->ratings = ratings; in ride_ratings_calculate_monorail()
2029 ride->ratings = ratings; in ride_ratings_calculate_mini_suspended_coaster()
2061 ride->ratings = ratings; in ride_ratings_calculate_boat_hire()
2102 ride->ratings = ratings; in ride_ratings_calculate_wooden_wild_mouse()
[all …]
|
| /dports/games/augustus/augustus-3.1.0/src/city/ |
| H A D | ratings.c | 117 city_data.ratings.favor = calc_bound(city_data.ratings.favor + amount, 0, 100); in city_ratings_change_favor()
346 city_data.ratings.culture += city_data.ratings.culture_points.theater; in update_culture_rating()
362 city_data.ratings.culture += city_data.ratings.culture_points.religion; in update_culture_rating()
378 city_data.ratings.culture += city_data.ratings.culture_points.school; in update_culture_rating()
394 city_data.ratings.culture += city_data.ratings.culture_points.academy; in update_culture_rating()
410 city_data.ratings.culture += city_data.ratings.culture_points.library; in update_culture_rating()
468 if (city_data.ratings.prosperity > city_data.ratings.prosperity_max) { in update_prosperity_rating()
469 city_data.ratings.prosperity = city_data.ratings.prosperity_max; in update_prosperity_rating()
620 if (city_data.ratings.favor < city_data.ratings.favor_last_year) { in update_favor_rating()
627 city_data.ratings.favor_last_year = city_data.ratings.favor; in update_favor_rating()
[all …]
|
| /dports/games/julius/julius-1.7.0/src/city/ |
| H A D | ratings.c | 102 city_data.ratings.favor = calc_bound(city_data.ratings.favor + amount, 0, 100); in city_ratings_change_favor()
328 city_data.ratings.culture += city_data.ratings.culture_points.theater; in update_culture_rating()
344 city_data.ratings.culture += city_data.ratings.culture_points.religion; in update_culture_rating()
360 city_data.ratings.culture += city_data.ratings.culture_points.school; in update_culture_rating()
376 city_data.ratings.culture += city_data.ratings.culture_points.academy; in update_culture_rating()
392 city_data.ratings.culture += city_data.ratings.culture_points.library; in update_culture_rating()
441 if (city_data.ratings.prosperity > city_data.ratings.prosperity_max) { in update_prosperity_rating()
442 city_data.ratings.prosperity = city_data.ratings.prosperity_max; in update_prosperity_rating()
585 if (city_data.ratings.favor < city_data.ratings.favor_last_year) { in update_favor_rating()
592 city_data.ratings.favor_last_year = city_data.ratings.favor; in update_favor_rating()
[all …]
|
| /dports/www/py-django-star-ratings/django-star-ratings-0.9.1/tests/ |
| H A D | test_views_rate.py | 48 url = reverse('ratings:rate', args=(ratings.content_type_id, ratings.object_id))
60 url = reverse('ratings:rate', args=(ratings.content_type_id, ratings.object_id))
74 url = reverse('ratings:rate', args=(ratings.content_type_id, ratings.object_id))
88 url = reverse('ratings:rate', args=(ratings.content_type_id, ratings.object_id))
100 url = reverse('ratings:rate', args=(ratings.content_type_id, ratings.object_id))
112 url = reverse('ratings:rate', args=(ratings.content_type_id, ratings.object_id))
127 url = reverse('ratings:rate', args=(ratings.content_type_id, ratings.object_id))
132 ratings = get_star_ratings_rating_model().objects.get(pk=ratings.pk)
153 url = reverse('ratings:rate', args=(ratings.content_type_id, ratings.object_id))
169 url = reverse('ratings:rate', args=(ratings.content_type_id, ratings.object_id))
[all …]
|
| H A D | test_rating_manager.py | 69 ratings = None
80 ratings = None
98 self.assertEqual(ratings.count, 1)
99 self.assertEqual(ratings.total, first)
100 self.assertEqual(ratings.average, first)
104 self.assertEqual(ratings.count, 1)
105 self.assertEqual(ratings.total, second)
106 self.assertEqual(ratings.average, second)
117 self.assertEqual(ratings.count, 1)
118 self.assertEqual(ratings.total, 4)
[all …]
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| H A D | test_template_tags_ratings.py | 19 from star_ratings.templatetags.ratings import ratings
31 ratings({
49 ratings({
63 ratings({
77 ratings({
93 ratings({
107 ratings({
125 ratings({
141 ratings({
155 ratings({
[all …]
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/example/neural_collaborative_filtering/core/ |
| H A D | load.py | 27 def describe_ratings(ratings): argument
30 ratings=len(ratings),
39 def process_movielens(ratings, sort=True): argument
40 ratings['timestamp'] = pd.to_datetime(ratings['timestamp'], unit='s')
43 describe_ratings(ratings)
44 return ratings
50 return process_movielens(ratings, sort=sort)
54 ratings = pd.read_csv(filename)
55 ratings['timestamp'] = pd.to_datetime(ratings['timestamp'], unit='s')
57 ratings.rename(columns=names, inplace=True)
[all …]
|
| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/neural_collaborative_filtering/core/ |
| H A D | load.py | 27 def describe_ratings(ratings): argument
30 ratings=len(ratings),
39 def process_movielens(ratings, sort=True): argument
40 ratings['timestamp'] = pd.to_datetime(ratings['timestamp'], unit='s')
43 describe_ratings(ratings)
44 return ratings
50 return process_movielens(ratings, sort=sort)
54 ratings = pd.read_csv(filename)
55 ratings['timestamp'] = pd.to_datetime(ratings['timestamp'], unit='s')
57 ratings.rename(columns=names, inplace=True)
[all …]
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| /dports/sysutils/istio/istio-1.6.7/galley/pkg/config/analysis/analyzers/testdata/ |
| H A D | virtualservice_conflictingmeshgatewayhosts.yaml | 58 name: ratings
68 host: ratings
73 name: ratings
85 host: ratings
90 name: ratings
102 host: ratings
107 name: ratings
121 host: ratings
126 name: ratings
138 host: ratings
[all …]
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| /dports/www/py-django-star-ratings/django-star-ratings-0.9.1/star_ratings/static/star-ratings/css/ |
| H A D | star-ratings.css | 1 /* line 3, ../sass/star-ratings.scss */
2 .star-ratings {
6 /* line 7, ../sass/star-ratings.scss */
7 .star-ratings ul {
14 /* line 14, ../sass/star-ratings.scss */
15 .star-ratings ul li {
19 /* line 20, ../sass/star-ratings.scss */
20 .star-ratings-rating-full, .star-ratings-rating-empty {
26 /* line 26, ../sass/star-ratings.scss */
27 .star-ratings-rating-foreground {
[all …]
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| /dports/devel/spark/spark-2.1.1/mllib/src/main/scala/org/apache/spark/mllib/recommendation/ |
| H A D | ALS.scala | 239 def run(ratings: RDD[Rating]): MatrixFactorizationModel = {
240 val sc = ratings.context
254 ratings = ratings.map(r => NewALS.Rating(r.user, r.product, r.rating.toFloat)),
287 def run(ratings: JavaRDD[Rating]): MatrixFactorizationModel = run(ratings.rdd)
310 ratings: RDD[Rating],
334 ratings: RDD[Rating],
357 train(ratings, rank, iterations, lambda, -1)
373 train(ratings, rank, iterations, 0.01, -1)
393 ratings: RDD[Rating],
419 ratings: RDD[Rating],
[all …]
|
| /dports/graphics/tesseract/tesseract-5.0.0/src/wordrec/ |
| H A D | segsearch.cpp | 69 if (!pain_point.Valid(*word_res->ratings)) { in SegSearch()
72 if (pain_point.Valid(*word_res->ratings) && in SegSearch()
126 word_res->ratings->print(getDict().getUnicharset()); in InitialSegSearch()
166 MATRIX *ratings = word_res->ratings; in UpdateSegSearchNodes() local
174 int last_row = std::min(ratings->dimension() - 1, col + ratings->bandwidth() - 1); in UpdateSegSearchNodes()
191 row + 1 < ratings->dimension()) { in UpdateSegSearchNodes()
232 MATRIX *ratings = word_res->ratings; in ProcessSegSearchPainPoint() local
234 if (!pain_point.Valid(*ratings)) { in ProcessSegSearchPainPoint()
237 ASSERT_HOST(pain_point.Valid(*ratings)); in ProcessSegSearchPainPoint()
258 ratings->print(getDict().getUnicharset()); in ProcessSegSearchPainPoint()
[all …]
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| H A D | lm_pain_points.cpp | 53 MATRIX *ratings = word_res->ratings; in GenerateInitial() local
55 for (int col = 0; col < ratings->dimension(); ++col) { in GenerateInitial()
56 int row_end = std::min(ratings->dimension(), col + ratings->bandwidth() + 1); in GenerateInitial()
59 if (coord.Valid(*ratings) && ratings->get(col, row) != NOT_CLASSIFIED) { in GenerateInitial()
63 if (ratings->Classified(col, row - 1, dict_->WildcardID()) || in GenerateInitial()
64 (col + 1 < ratings->dimension() && in GenerateInitial()
65 ratings->Classified(col + 1, row, dict_->WildcardID()))) { in GenerateInitial()
97 if (!pain_coord.Valid(*word_res->ratings) || in GenerateFromPath()
117 BLOB_CHOICE_IT b_it(word_res->ratings->get(pain_coord.col, pain_coord.row)); in GenerateFromPath()
146 if (coord.Valid(*word_res->ratings) && in GeneratePainPoint()
[all …]
|
| /dports/deskutils/calibre/calibre-src-5.34.0/resources/ |
| H A D | metadata_sqlite.sql | 210 ratings.id = bl.rating AND ratings.rating <> 0) avg_rating,
221 ratings.id = bl.rating AND ratings.rating <> 0 AND
233 ratings.id = bl.rating AND ratings.rating <> 0 AND
245 ratings.id = bl.rating AND ratings.rating <> 0 AND
248 FROM ratings;
257 ratings.id = bl.rating AND ratings.rating <> 0 AND
269 ratings.id = bl.rating AND ratings.rating <> 0 AND
280 ratings.id = bl.rating AND ratings.rating <> 0) avg_rating,
290 ratings.id = bl.rating AND ratings.rating <> 0) avg_rating,
300 ratings.id = bl.rating AND ratings.rating <> 0) avg_rating,
[all …]
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| /dports/mail/ifile/ifile-1.3.8/ |
| H A D | util.c | 293 fprintf(FP, "%s %.8f\n", ratings[i].category, ratings[i].rating); in ifile_print_ratings()
297 (ratings[0].rating + ratings[1].rating) != 0) in ifile_print_ratings()
300 ratings[0].category, ratings[1].category, in ifile_print_ratings()
301 -(ratings[0].rating - ratings[1].rating) / in ifile_print_ratings()
302 (ratings[0].rating + ratings[1].rating) * 100); in ifile_print_ratings()
309 ifile_concise_ratings (char * path, FILE * FP, category_rating * ratings, in ifile_concise_ratings() argument
319 (ratings[0].rating + ratings[1].rating) != 0) in ifile_concise_ratings()
321 diff = -(ratings[0].rating - ratings[1].rating) / in ifile_concise_ratings()
322 (ratings[0].rating + ratings[1].rating) * 1000; in ifile_concise_ratings()
326 fprintf (FP, "%s,%s\n", ratings[0].category, ratings[1].category); in ifile_concise_ratings()
[all …]
|
| /dports/math/vowpal_wabbit/vowpal_wabbit-7.10/demo/movielens/ |
| H A D | Makefile | 18 ml-%/ratings.dat: ml-%.zip
25 ml-%.ratings.train.vw: ml-%/ratings.dat
27 @./ratings2vw ml-$*.ratings.pre.train.vw ml-$*.ratings.test.vw $<
30 ml-$*.ratings.pre.train.vw | sort -k1 | \
31 cut -f2- > ml-$*.ratings.train.vw
32 @rm -f ml-$*.ratings.pre.train.vw
45 linear.results: ml-1m.ratings.test.vw ml-1m.ratings.train.vw
72 lrq.results: ml-1m.ratings.test.vw ml-1m.ratings.train.vw
101 lrqdropout.results: ml-1m.ratings.test.vw ml-1m.ratings.train.vw
140 lrqdropouthogwild.results: ml-1m.ratings.test.vw ml-1m.ratings.train.vw do-lrq-hogwild
|
| /dports/devel/spark/spark-2.1.1/python/pyspark/mllib/ |
| H A D | recommendation.py | 221 def _prepare(cls, ratings): argument
222 if isinstance(ratings, RDD):
224 elif isinstance(ratings, DataFrame):
225 ratings = ratings.rdd
228 "but got %s." % type(ratings))
229 first = ratings.first()
233 ratings = ratings.map(lambda x: Rating(*x))
236 return ratings
240 def train(cls, ratings, rank, iterations=5, lambda_=0.01, blocks=-1, nonnegative=False, argument
272 model = callMLlibFunc("trainALSModel", cls._prepare(ratings), rank, iterations,
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| /dports/games/openttd/openttd-12.1/src/ |
| H A D | newgrf_town.cpp | 64 case 0x9E: return this->t->ratings[0]; in GetVariable()
65 case 0x9F: return GB(this->t->ratings[0], 8, 8); in GetVariable()
66 case 0xA0: return this->t->ratings[1]; in GetVariable()
67 case 0xA1: return GB(this->t->ratings[1], 8, 8); in GetVariable()
68 case 0xA2: return this->t->ratings[2]; in GetVariable()
69 case 0xA3: return GB(this->t->ratings[2], 8, 8); in GetVariable()
70 case 0xA4: return this->t->ratings[3]; in GetVariable()
72 case 0xA6: return this->t->ratings[4]; in GetVariable()
74 case 0xA8: return this->t->ratings[5]; in GetVariable()
76 case 0xAA: return this->t->ratings[6]; in GetVariable()
[all …]
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| /dports/converters/enca/enca-1.19/lib/ |
| H A D | lang_zh.c | 88 double* rating_first = &analyser->ratings[order[0]]; in hook()
89 double* rating_second = &analyser->ratings[order[1]]; in hook()
125 double *ratings = analyser->ratings; in calc_rating() local
135 ratings[i] = 0.; in calc_rating()
150 ratings[j] = -1.; in calc_rating()
154 ratings[j] += pweight->freq; in calc_rating()
167 printf("GBK: %f, BIG5: %f\n", ratings[0], ratings[1]); in calc_rating()
174 ratings[i] = 0.; in calc_rating()
|
| /dports/www/py-django-star-ratings/django-star-ratings-0.9.1/django_star_ratings.egg-info/ |
| H A D | PKG-INFO | 2 Name: django-star-ratings
4 Summary: A Django app to add star ratings to models.
10 django-star-ratings
36 pip install django-star-ratings
57 … url(r'^ratings/', include('star_ratings.urls', namespace='ratings', app_name='ratings')),
72 <link rel="stylesheet" href="{% static 'star-ratings/css/star-ratings.css' %}">
73 …<script type="text/javascript" src="{% static 'star-ratings/js/dist/star-ratings.min.js' %}"></scr…
81 {% load ratings %}
84 {% ratings object %}
146 Ordering by ratings
[all …]
|
| /dports/www/py-django-star-ratings/django-star-ratings-0.9.1/ |
| H A D | PKG-INFO | 2 Name: django-star-ratings
4 Summary: A Django app to add star ratings to models.
10 django-star-ratings
36 pip install django-star-ratings
57 … url(r'^ratings/', include('star_ratings.urls', namespace='ratings', app_name='ratings')),
72 <link rel="stylesheet" href="{% static 'star-ratings/css/star-ratings.css' %}">
73 …<script type="text/javascript" src="{% static 'star-ratings/js/dist/star-ratings.min.js' %}"></scr…
81 {% load ratings %}
84 {% ratings object %}
146 Ordering by ratings
[all …]
|
| H A D | README.rst | 2 django-star-ratings
7 Python 3 compatible ratings for Django.
9 Add ratings to any Django model with a template tag.
28 pip install django-star-ratings
49 url(r'^ratings/', include('star_ratings.urls', namespace='ratings', app_name='ratings')),
64 <link rel="stylesheet" href="{% static 'star-ratings/css/star-ratings.css' %}">
65 …<script type="text/javascript" src="{% static 'star-ratings/js/dist/star-ratings.min.js' %}"></scr…
73 {% load ratings %}
76 {% ratings object %}
93 To prohibit users from altering their ratings set
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|
| /dports/audio/p5-Audio-MPD/Audio-MPD-2.004/bin/ |
| H A D | mpd-rate | 32 my %ratings;
33 tie %ratings, 'DB_File', $ARGV{ratings}, O_RDWR|O_CREAT, oct(666), $DB_HASH
37 if ( defined $ARGV{rating} ) { $ratings{$song} = $ARGV{rating}; }
38 else { say exists $ratings{$song} ? $ratings{$song} : 0; }
40 untie %ratings;
|
| /dports/games/flightgear/flightgear-2020.3.11/src/GUI/qml/ |
| H A D | AircraftRatingsPanel.qml | 22 _launcher.saveUISetting("enable-ratings-filter", checked);
25 label: qsTr("Filter using ratings")
43 text: qsTr("Adjust minimum ratings")
67 … text: qsTr("Click here to change which aircraft are shown or hidden based on their ratings")
100 … "one to five. The ratings are designed to help make an informed guess how "+
109 ratings: _launcher.browseAircraftModel.ratings
115 ratings: _launcher.browseAircraftModel.ratings
121 ratings: _launcher.browseAircraftModel.ratings
127 ratings: _launcher.browseAircraftModel.ratings
|
| /dports/sysutils/istio/istio-1.6.7/samples/bookinfo/platform/kube/ |
| H A D | bookinfo-ratings.yaml | 21 name: ratings
23 app: ratings
29 app: ratings
34 name: ratings-v1
36 app: ratings
42 app: ratings
47 app: ratings
51 - name: ratings
52 image: docker.io/istio/examples-bookinfo-ratings-v1:1.16.2
|