Monte carlo tensor

ci/recipe/meta.yaml

@@ -25,6 +25,7 @@ requirements:
     - biom-format >=2.1.5,<2.2.0
     - ijson
     - h5py
+    - arviz
     - qiime2 {{ release }}.*
 
 test:

q2_types/feature_data/__init__.py

@@ -18,11 +18,12 @@
     AlignedProteinSequencesDirectoryFormat, ProteinSequencesDirectoryFormat,
     ProteinFASTAFormat, AlignedProteinFASTAFormat, RNASequencesDirectoryFormat,
     RNAFASTAFormat, AlignedRNAFASTAFormat, AlignedRNASequencesDirectoryFormat,
-    PairedRNASequencesDirectoryFormat)
+    PairedRNASequencesDirectoryFormat,
+    MonteCarloTensorFormat, MonteCarloTensorDirectoryFormat)
 from ._type import (
     FeatureData, Taxonomy, Sequence, PairedEndSequence, AlignedSequence,
     Differential, ProteinSequence, AlignedProteinSequence, RNASequence,
-    AlignedRNASequence, PairedEndRNASequence)
+    AlignedRNASequence, PairedEndRNASequence, MonteCarloTensor)
 
 # TODO remove these imports when tests are rewritten. Remove from __all__ too
 from ._transformer import (
@@ -37,6 +38,8 @@
     'DNASequencesDirectoryFormat', 'PairedDNASequencesDirectoryFormat',
     'AlignedDNAFASTAFormat', 'AlignedDNASequencesDirectoryFormat',
     'FeatureData', 'Taxonomy', 'Sequence', 'PairedEndSequence',
+    'MonteCarloTensor', 'MonteCarloTensorFormat',
+    'MonteCarloTensorDirectoryFormat',
     'AlignedSequence', 'NucleicAcidIterator', 'DNAIterator',
     'PairedDNAIterator', 'FASTAFormat', 'AlignedDNAIterator', 'Differential',
     'DifferentialDirectoryFormat', 'AlignedFASTAFormatMixin',

q2_types/feature_data/_format.py

@@ -10,6 +10,7 @@
 import qiime2.plugin.model as model
 from qiime2.plugin import ValidationError
 import qiime2
+import arviz as az
 
 from ..plugin_setup import plugin
 
@@ -335,6 +336,7 @@ def _construct_validator_from_alphabet(alphabet_str):
 
 class DifferentialFormat(model.TextFileFormat):
     def validate(self, *args):
+
         try:
             md = qiime2.Metadata.load(str(self))
         except qiime2.metadata.MetadataFileError as md_exc:
@@ -352,6 +354,21 @@ def validate(self, *args):
     'DifferentialDirectoryFormat', 'differentials.tsv', DifferentialFormat)
 
 
+class MonteCarloTensorFormat(model.BinaryFileFormat):
+
+    def sniff(self):
+        try:
+            az.InferenceData.from_netcdf(str(self))
+            return True
+        except Exception:
+            return False
+
+
+MonteCarloTensorDirectoryFormat = model.SingleFileDirectoryFormat(
+    'MonteCarloTensorDirectoryFormat', 'monte-carlo-samples.az',
+    MonteCarloTensorFormat)
+
+
 class ProteinFASTAFormat(FASTAFormat):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -382,6 +399,7 @@ def __init__(self, *args, **kwargs):
     TaxonomyFormat, TaxonomyDirectoryFormat, DNAFASTAFormat,
     DNASequencesDirectoryFormat, PairedDNASequencesDirectoryFormat,
     AlignedDNAFASTAFormat, AlignedDNASequencesDirectoryFormat,
+    MonteCarloTensorFormat, MonteCarloTensorDirectoryFormat,
     DifferentialFormat, DifferentialDirectoryFormat, ProteinFASTAFormat,
     AlignedProteinFASTAFormat, ProteinSequencesDirectoryFormat,
     AlignedProteinSequencesDirectoryFormat, RNAFASTAFormat,

q2_types/feature_data/_transformer.py

@@ -13,11 +13,12 @@
 import biom
 import skbio
 import qiime2
-
+import arviz as az
 from ..plugin_setup import plugin
 from ..feature_table import BIOMV210Format
 from . import (TaxonomyFormat, HeaderlessTSVTaxonomyFormat, TSVTaxonomyFormat,
                DNAFASTAFormat, PairedDNASequencesDirectoryFormat,
+               MonteCarloTensorFormat,
                AlignedDNAFASTAFormat, DifferentialFormat, ProteinFASTAFormat,
                AlignedProteinFASTAFormat, RNAFASTAFormat,
                AlignedRNAFASTAFormat, PairedRNASequencesDirectoryFormat
@@ -644,3 +645,15 @@ def _224(data: pd.DataFrame) -> DifferentialFormat:
     ff = DifferentialFormat()
     qiime2.Metadata(data).save(str(ff))
     return ff
+
+
+@plugin.register_transformer
+def _225(ff: MonteCarloTensorFormat) -> az.InferenceData:
+    return az.InferenceData.from_netcdf(str(ff))
+
+
+@plugin.register_transformer
+def _226(obj: az.InferenceData) -> MonteCarloTensorFormat:
+    ff = MonteCarloTensorFormat()
+    obj.to_netcdf(str(ff))
+    return ff

q2_types/feature_data/_type.py

@@ -12,6 +12,7 @@
 from . import (TSVTaxonomyDirectoryFormat, DNASequencesDirectoryFormat,
                PairedDNASequencesDirectoryFormat,
                AlignedDNASequencesDirectoryFormat,
+               MonteCarloTensorDirectoryFormat,
                DifferentialDirectoryFormat, ProteinSequencesDirectoryFormat,
                AlignedProteinSequencesDirectoryFormat,
                RNASequencesDirectoryFormat, AlignedRNASequencesDirectoryFormat,
@@ -35,6 +36,9 @@
 AlignedSequence = SemanticType('AlignedSequence',
                                variant_of=FeatureData.field['type'])
 
+MonteCarloTensor = SemanticType('MonteCarloTensor')
+
+
 AlignedRNASequence = SemanticType('AlignedRNASequence',
                                   variant_of=FeatureData.field['type'])
 
@@ -49,7 +53,8 @@
 
 plugin.register_semantic_types(FeatureData, Taxonomy, Sequence,
                                PairedEndSequence, AlignedSequence,
-                               Differential, ProteinSequence,
+                               Differential, MonteCarloTensor,
+                               ProteinSequence,
                                AlignedProteinSequence, RNASequence,
                                AlignedRNASequence, PairedEndRNASequence)
 
@@ -72,6 +77,8 @@
 plugin.register_semantic_type_to_format(
     FeatureData[AlignedSequence],
     artifact_format=AlignedDNASequencesDirectoryFormat)
+plugin.register_semantic_type_to_format(
+    MonteCarloTensor, MonteCarloTensorDirectoryFormat)
 plugin.register_semantic_type_to_format(
     FeatureData[AlignedRNASequence],
     artifact_format=AlignedRNASequencesDirectoryFormat)

q2_types/feature_data/tests/data/nan_differential.tsv

@@ -0,0 +1,201 @@
+featureid	effect
+F0	
+F1	1.01418002973925
+F2	1.02456128258909
+F3	-0.74363992043225
+F4	1.29823896534823
+F5	-1.12965055281585
+F6	-0.522401797448688
+F7	0.327560711072239
+F8	-1.3738693465664802
+F9	-0.7847891526325621
+F10	-0.280063201878434
+F11	-0.251269847578052
+F12	1.24602780723028
+F13	0.665734866338239
+F14	-0.889042985114811
+F15	-0.811956802515126
+F16	0.11591764582945
+F17	-0.156195990858492
+F18	-0.965770633683909
+F19	0.8035240337800391
+F20	0.680306950765235
+F21	-0.688388077896823
+F22	0.7949653982850671
+F23	-1.11912925367142
+F24	-1.10593563527746
+F25	0.678934047810573
+F26	-0.937189288219405
+F27	-0.99973019311648
+F28	-0.31799033232181
+F29	-0.66141741897569
+F30	0.550511528315366
+F31	-0.9325448302932858
+F32	-0.34253881283785104
+F33	1.52951044529528
+F34	-0.0322228434081009
+F35	-1.3936520437793
+F36	0.8687222580720692
+F37	0.6823592821191031
+F38	1.37480393072457
+F39	0.239227247696375
+F40	-0.95692625177732
+F41	1.00830368417208
+F42	0.8288761564573699
+F43	-1.3476440812435702
+F44	0.529025296092455
+F45	-0.340145172805159
+F46	0.964756233144604
+F47	-0.7310281367702399
+F48	0.5383478597420129
+F49	0.29953220850051193
+F50	1.00798009601963
+F51	-0.0132115389102393
+F52	-0.278915712970544
+F53	0.06277454002648
+F54	0.3516746428630449
+F55	0.137951639939762
+F56	1.33461560518154
+F57	0.43628478179779
+F58	1.11453590606852
+F59	1.29860068665808
+F60	0.0955549779502926
+F61	0.495998910273253
+F62	-0.7833488766142149
+F63	-0.18096581167667
+F64	1.30235947734143
+F65	0.280013344538779
+F66	1.30046727244606
+F67	-1.06463133806824
+F68	-1.25938109004015
+F69	0.264024004173156
+F70	-1.2529907420368602
+F71	1.4937353010847
+F72	0.970455224810024
+F73	-1.23960496737832
+F74	-0.203565231196184
+F75	-0.450539610910928
+F76	0.411462370457529
+F77	-0.309713881057648
+F78	0.9140794729087808
+F79	1.31441543849981
+F80	-0.387324391709564
+F81	-1.2144940378668605
+F82	0.981754295455261
+F83	0.0289330595561297
+F84	1.24311989408419
+F85	-0.24182271418096696
+F86	0.76870209333065
+F87	0.238515379111686
+F88	-0.338651978123051
+F89	-0.4482656135303739
+F90	0.5279056466564099
+F91	1.37807956999098
+F92	1.04310859627148
+F93	-0.117482004574065
+F94	0.6232413973258649
+F95	0.00403130502610116
+F96	-1.34598938813891
+F97	0.4549706581338591
+F98	1.0192013773894302
+F99	-0.291756302796704
+F100	-1.12688813864611
+F101	0.557769384655089
+F102	1.1975908860910902
+F103	1.15355341444875
+F104	0.946531581472272
+F105	1.22600261259885
+F106	1.0261210015913198
+F107	0.841857769084618
+F108	-0.4019324938447151
+F109	0.19764363305971105
+F110	-0.149480290579409
+F111	0.6408321521409511
+F112	-0.966639287078902
+F113	1.16738708670172
+F114	0.174326207230448
+F115	-0.5695094365752371
+F116	1.20806940422198
+F117	-1.24543884840423
+F118	-1.15412531725971
+F119	-0.8296471214736691
+F120	0.736529671228746
+F121	-0.660047869199522
+F122	0.904640201633404
+F123	-0.5986532323341109
+F124	0.691079988752513
+F125	-0.562592354003712
+F126	1.01123956644237
+F127	-0.41423096856367103
+F128	0.619238453979786
+F129	-0.620591765205541
+F130	-1.27255930040442
+F131	-0.3512359129578449
+F132	1.00467461529444
+F133	-1.13541106483259
+F134	-1.26161085240342
+F135	-0.38659519790583097
+F136	0.872749204870088
+F137	-0.810751128748022
+F138	-0.8197848282048691
+F139	0.20047162644758895
+F140	-0.604549610882948
+F141	0.228624680177828
+F142	1.28609633871252
+F143	-0.1679362832488
+F144	-0.257647674436839
+F145	0.74101019223122
+F146	0.132687409665163
+F147	-1.09538523785539
+F148	-0.4520741143592221
+F149	-1.1796888761929298
+F150	1.07271995122987
+F151	-0.219846098067332
+F152	0.529493500001223
+F153	0.6270798132806121
+F154	-1.01527420105315
+F155	0.746112185723826
+F156	-0.686265054564927
+F157	-1.3326095821448702
+F158	-0.3777879682136721
+F159	-1.13401841717297
+F160	-0.296439244074386
+F161	0.40847742352928296
+F162	1.27982997837018
+F163	-0.7134413622708241
+F164	-0.349087095579928
+F165	0.6163069356830501
+F166	0.217564847263855
+F167	-0.242902200286938
+F168	-1.01430232660254
+F169	-0.919646912875392
+F170	-0.19937212012607394
+F171	-1.31129333739411
+F172	-0.721872176785536
+F173	-1.12678232313294
+F174	1.0904935742820798
+F175	-1.17644925652159
+F176	1.25195089868697
+F177	-0.5994841508457149
+F178	-1.12642775074296
+F179	-0.927361070785748
+F180	0.852558007271541
+F181	0.740604316851619
+F182	-0.504950438684657
+F183	0.358858461465484
+F184	-0.0652057793033983
+F185	-0.210512467576898
+F186	0.15407114587584306
+F187	0.7501398636830259
+F188	-1.38405071916205
+F189	-1.3863784044176497
+F190	0.35465073693029203
+F191	-0.0527678764658988
+F192	1.04452771030868
+F193	-1.0105215476872
+F194	-0.6098963926022061
+F195	1.24019945405587
+F196	-1.2486190178628
+F197	0.28873133501175297
+F198	-0.9444328759187892
+F199	-0.308547237330663

q2_types/feature_data/tests/test_format.py

@@ -20,10 +20,13 @@
     ProteinFASTAFormat, AlignedProteinFASTAFormat, FASTAFormat,
     AlignedProteinSequencesDirectoryFormat, ProteinSequencesDirectoryFormat,
     RNAFASTAFormat, RNASequencesDirectoryFormat, AlignedRNAFASTAFormat,
-    AlignedRNASequencesDirectoryFormat
+    AlignedRNASequencesDirectoryFormat,
+    MonteCarloTensorDirectoryFormat
 )
 from qiime2.plugin.testing import TestPluginBase
 from qiime2.plugin import ValidationError
+import arviz as az
+import numpy as np
 
 
 class TestTaxonomyFormats(TestPluginBase):
@@ -538,5 +541,34 @@ def test_aligned_protein_sequences_directory_format(self):
         format.validate()
 
 
+class TestMonteCarloTensorFormat(TestPluginBase):
+
+    package = 'q2_types.feature_data.tests'
+
+    def test_monte_carlo_format(self):
+        # Note that this file is empty, we are using it as a
+        # placeholder to place the az Inference object
+        filepath = self.get_data_path('monte-carlo-samples.az')
+
+        size = 100
+        dataset = az.convert_to_inference_data(np.random.randn(size))
+        dataset.to_netcdf(filepath)
+
+        temp_dir = self.temp_dir.name
+        shutil.copy(filepath,
+                    os.path.join(temp_dir, 'monte-carlo-samples.az'))
+        format = MonteCarloTensorDirectoryFormat(temp_dir, mode='r')
+        format.validate()
+
+    def test_monte_carlo_format_bad(self):
+        filepath = self.get_data_path('nan_differential.tsv')
+        temp_dir = self.temp_dir.name
+        shutil.copy(filepath,
+                    os.path.join(temp_dir, 'nan_differential.tsv'))
+        format = MonteCarloTensorDirectoryFormat(temp_dir, mode='r')
+        with self.assertRaisesRegex(ValidationError, 'MonteCarloTensor'):
+            format.validate()
+
+
 if __name__ == '__main__':
     unittest.main()