Adam学习19之在window下eclipse的mvn test
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结果为:
[INFO] Scanning for projects...[INFO] ------------------------------------------------------------------------[INFO] Reactor Build Order:[INFO] [INFO] ADAM_2.10[INFO] ADAM_2.10: Core[INFO] ADAM_2.10: APIs for Java[INFO] ADAM_2.10: CLI[INFO] [INFO] ------------------------------------------------------------------------[INFO] Building ADAM_2.10 0.19.0[INFO] ------------------------------------------------------------------------[INFO] [INFO] --- maven-enforcer-plugin:1.0:enforce (enforce-versions) @ adam-parent_2.10 ---[INFO] [INFO] --- maven-enforcer-plugin:1.0:enforce (enforce-maven) @ adam-parent_2.10 ---[INFO] [INFO] --- scalariform-maven-plugin:0.1.4:format (default-cli) @ adam-parent_2.10 ---[INFO] Modified 0 of 199 .scala files[INFO] [INFO] --- scala-maven-plugin:3.2.2:compile (scala-compile-first) @ adam-parent_2.10 ---[INFO] No sources to compile[INFO] [INFO] --- scala-maven-plugin:3.2.2:testCompile (scala-test-compile-first) @ adam-parent_2.10 ---[INFO] No sources to compile[INFO] [INFO] ------------------------------------------------------------------------[INFO] Building ADAM_2.10: Core 0.19.0[INFO] ------------------------------------------------------------------------[INFO] [INFO] --- maven-enforcer-plugin:1.0:enforce (enforce-versions) @ adam-core_2.10 ---[INFO] [INFO] --- maven-enforcer-plugin:1.0:enforce (enforce-maven) @ adam-core_2.10 ---[INFO] [INFO] --- build-helper-maven-plugin:1.9.1:add-source (add-source) @ adam-core_2.10 ---[INFO] Source directory: D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-core\src\main\scala added.[INFO] [INFO] --- scalariform-maven-plugin:0.1.4:format (default-cli) @ adam-core_2.10 ---[INFO] Modified 0 of 159 .scala files[INFO] [INFO] --- maven-resources-plugin:2.7:resources (default-resources) @ adam-core_2.10 ---[INFO] Using 'UTF-8' encoding to copy filtered resources.[INFO] Copying 1 resource[INFO] [INFO] --- scala-maven-plugin:3.2.2:compile (scala-compile-first) @ adam-core_2.10 ---[WARNING] Expected all dependencies to require Scala version: 2.10.4[WARNING] org.bdgenomics.utils:utils-misc_2.10:0.2.4 requires scala version: 2.10.4[WARNING] org.bdgenomics.utils:utils-misc_2.10:0.2.4 requires scala version: 2.10.4[WARNING] org.bdgenomics.utils:utils-metrics_2.10:0.2.4 requires scala version: 2.10.4[WARNING] org.bdgenomics.utils:utils-io_2.10:0.2.4 requires scala version: 2.10.4[WARNING] org.bdgenomics.utils:utils-cli_2.10:0.2.4 requires scala version: 2.10.4[WARNING] org.scoverage:scalac-scoverage-plugin_2.10:1.1.1 requires scala version: 2.10.4[WARNING] org.bdgenomics.adam:adam-core_2.10:0.19.0 requires scala version: 2.10.4[WARNING] com.twitter:chill_2.10:0.5.0 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-remote_2.10:2.3.11 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-actor_2.10:2.3.11 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-slf4j_2.10:2.3.11 requires scala version: 2.10.4[WARNING] org.apache.spark:spark-core_2.10:1.5.2 requires scala version: 2.10.4[WARNING] org.json4s:json4s-jackson_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-core_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-ast_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-core_2.10:3.2.10 requires scala version: 2.10.0[WARNING] Multiple versions of scala libraries detected![INFO] Nothing to compile - all classes are up to date[INFO] [INFO] --- maven-compiler-plugin:3.3:compile (default-compile) @ adam-core_2.10 ---[INFO] Nothing to compile - all classes are up to date[INFO] [INFO] --- build-helper-maven-plugin:1.9.1:add-test-source (add-test-source) @ adam-core_2.10 ---[INFO] Test Source directory: D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-core\src\test\scala added.[INFO] [INFO] --- maven-resources-plugin:2.7:testResources (default-testResources) @ adam-core_2.10 ---[INFO] Using 'UTF-8' encoding to copy filtered resources.[INFO] Copying 65 resources[INFO] [INFO] --- scala-maven-plugin:3.2.2:testCompile (scala-test-compile-first) @ adam-core_2.10 ---[WARNING] Expected all dependencies to require Scala version: 2.10.4[WARNING] org.bdgenomics.utils:utils-misc_2.10:0.2.4 requires scala version: 2.10.4[WARNING] org.bdgenomics.utils:utils-misc_2.10:0.2.4 requires scala version: 2.10.4[WARNING] org.bdgenomics.utils:utils-metrics_2.10:0.2.4 requires scala version: 2.10.4[WARNING] org.bdgenomics.utils:utils-io_2.10:0.2.4 requires scala version: 2.10.4[WARNING] org.bdgenomics.utils:utils-cli_2.10:0.2.4 requires scala version: 2.10.4[WARNING] org.scoverage:scalac-scoverage-plugin_2.10:1.1.1 requires scala version: 2.10.4[WARNING] org.bdgenomics.adam:adam-core_2.10:0.19.0 requires scala version: 2.10.4[WARNING] com.twitter:chill_2.10:0.5.0 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-remote_2.10:2.3.11 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-actor_2.10:2.3.11 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-slf4j_2.10:2.3.11 requires scala version: 2.10.4[WARNING] org.apache.spark:spark-core_2.10:1.5.2 requires scala version: 2.10.4[WARNING] org.json4s:json4s-jackson_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-core_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-ast_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-core_2.10:3.2.10 requires scala version: 2.10.0[WARNING] Multiple versions of scala libraries detected![INFO] Nothing to compile - all classes are up to date[INFO] [INFO] --- maven-compiler-plugin:3.3:testCompile (default-testCompile) @ adam-core_2.10 ---[INFO] Nothing to compile - all classes are up to date[INFO] [INFO] --- maven-surefire-plugin:2.18.1:test (default-test) @ adam-core_2.10 ---[INFO] Tests are skipped.[INFO] [INFO] --- scalatest-maven-plugin:1.0:test (test) @ adam-core_2.10 ---[36mDiscovery starting.[0m[36mDiscovery completed in 3 seconds, 139 milliseconds.[0m[36mRun starting. Expected test count is: 373[0m[32mRichGenotypeSuite:[0m[32m- different ploidy[0m[32m- all types for diploid genotype[0m[32mReferenceUtilsSuite:[0m[32m- unionReferenceSet: empty[0m[32m- unionReferenceSet: one region[0m[32m- unionReferenceSet: multiple regions on one contig, all overlap[0m[32m- unionReferenceSet: multiple regions on one contig, some overlap[0m[32m- unionReferenceSet: multiple regions on multiple contigs[0m[32mMdTagSuite:[0m[32m- null md tag[0m[32m- zero length md tag[0m[32m- md tag with non-digit initial value[0m[32m- md tag invalid base[0m[32m- md tag, pure insertion[0m[32m- md tag, pure insertion, test 2[0m[32m- md tag pure insertion equality[0m[32m- md tag equality and hashcode[0m[32m- valid md tags[0m[32m- get start of read with no mismatches or deletions[0m[32m- get start of read with no mismatches, but with a deletion at the start[0m[32m- get start of read with mismatches at the start[0m[32m- get end of read with no mismatches or deletions[0m[32m- check that mdtag and rich record return same end[0m[32m- get end of read with no mismatches, but a deletion at end[0m[32m- CIGAR with N operator[0m[32m- CIGAR with multiple N operators[0m[32m- CIGAR with P operators[0m[32m- Get correct matches for mdtag with insertion[0m[32m- Get correct matches for mdtag with mismatches and insertion[0m[32m- Get correct matches for mdtag with insertion between mismatches[0m[32m- Get correct matches for mdtag with intron between mismatches[0m[32m- Get correct matches for mdtag with intron and deletion between mismatches[0m[32m- Throw exception when number of deleted bases in mdtag disagrees with CIGAR[0m[32m- Get correct matches for mdtag with mismatch, insertion and deletion[0m[32m- Get correct matches for mdtag with mismatches, insertion and deletion[0m[32m- Get correct matches for MDTag with mismatches and deletions[0m[32m- Get correct matches base from MDTag and CIGAR with N[0m[32m- get end of read with mismatches and a deletion at end[0m[32m- get correct string out of mdtag with no mismatches[0m[32m- get correct string out of mdtag with mismatches at start[0m[32m- get correct string out of mdtag with deletion at end[0m[32m- get correct string out of mdtag with mismatches at end[0m[32m- get correct string out of complex mdtag[0m[32m- check complex mdtag[0m[32m- move a cigar alignment by two for a read[0m[32m- rewrite alignment to all matches[0m[32m- rewrite alignment to two mismatches followed by all matches[0m[32m- rewrite alignment to include a deletion but otherwise all matches[0m[32m- rewrite alignment to include an insertion at the start of the read but otherwise all matches[0m[32m- create new md tag from read vs. reference, perfect match[0m[32m- create new md tag from read vs. reference, perfect alignment match, 1 mismatch[0m[32m- create new md tag from read vs. reference, alignment with deletion[0m[32m- create new md tag from read vs. reference, alignment with insert[0m[32m- handle '=' and 'X' operators[0m[32m- CIGAR/MD tag mismatch should cause errors[0m[32mGenotypesToVariantsConverterSuite:[0m[32m- Simple test of integer RMS[0m[32m- Simple test of floating point RMS[0m[32m- Max genotype quality should lead to max variant quality[0m[32m- Genotype quality = 0.5 for two samples should lead to variant quality of 0.75[0m[32mPairingRDDSuite:[0m2016-05-12 18:54:30 WARN NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable2016-05-12 18:54:37 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- sliding on an empty RDD returns an empty RDD[0m2016-05-12 18:54:45 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- sliding on an RDD where count() < width returns an empty RDD[0m2016-05-12 18:54:46 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- sliding on an RDD where count() == width returns an RDD with one element.[0m2016-05-12 18:54:47 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- sliding on a small RDD works correctly[0m2016-05-12 18:54:49 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- sliding works correctly on a partitioned RDD[0m2016-05-12 18:54:52 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- pairing a simple sequence works[0m2016-05-12 18:54:54 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- pairing an empty sequence returns an empty sequence[0m2016-05-12 18:54:54 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- pairing a sorted sequence works[0m2016-05-12 18:54:55 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- pairWithEnds on an empty sequence returns an empty sequence[0m2016-05-12 18:54:55 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- pairWithEnds gives us the right number and set of values[0m[32mADAMVariationRDDFunctionsSuite:[0m2016-05-12 18:54:57 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- recover samples from variant context[0m2016-05-12 18:54:58 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- joins SNV database annotation[0m2016-05-12 18:54:59 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:55:01 WARN :139 - Your hostname, xubo-PC resolves to a loopback/non-reachable address: fe80:0:0:0:482:722f:5976:ce1f%20, but we couldn't find any external IP address![32m- can write, then read in .vcf file[0m[32mSingleReadBucketSuite:[0m[32m- convert unmapped pair to fragment[0m[32m- convert proper pair to fragment[0m[32m- convert read pair to fragment with first of pair chimeric read[0m[32mFlankReferenceFragmentsSuite:[0m[32m- don't put flanks on non-adjacent fragments[0m[32m- put flanks on adjacent fragments[0m[32mReferencePositionSuite:[0m[32m- create reference position from mapped read[0m[32m- create reference position from variant[0m[32m- create reference position from genotype[0m[32mAlignmentRecordRDDFunctionsSuite:[0m2016-05-12 18:55:02 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- sorting reads[0m2016-05-12 18:55:04 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- characterizeTags counts integer tag values correctly[0m2016-05-12 18:55:05 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- withTag returns only those records which have the appropriate tag[0m2016-05-12 18:55:05 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- withTag, when given a tag name that doesn't exist in the input, returns an empty RDD[0m2016-05-12 18:55:05 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- characterizeTagValues counts distinct values of a tag[0m2016-05-12 18:55:06 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- characterizeTags counts tags in a SAM file correctly[0m2016-05-12 18:55:06 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- round trip from ADAM to SAM and back to ADAM produces equivalent Read values[0m2016-05-12 18:55:07 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- SAM conversion sets read mapped flag properly[0m2016-05-12 18:55:08 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- convert malformed FASTQ (no quality scores) => SAM => well-formed FASTQ => SAM[0m2016-05-12 18:55:09 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- round trip from ADAM to FASTQ and back to ADAM produces equivalent Read values[0m2016-05-12 18:55:10 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- round trip from ADAM to paired-FASTQ and back to ADAM produces equivalent Read values[0m2016-05-12 18:55:12 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:55:12 WARN AlignmentRecordRDDFunctions:520 - Caught exception when merging via Hadoop FileSystem API:java.lang.UnsupportedOperationException: Not implemented by the RawLocalFileSystem FileSystem implementation2016-05-12 18:55:12 WARN AlignmentRecordRDDFunctions:521 - Retrying as manual copy from the driver which will degrade performance.[32m- writing a small sorted file as SAM should produce the expected result[0m2016-05-12 18:55:12 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:55:13 WARN AlignmentRecordRDDFunctions:520 - Caught exception when merging via Hadoop FileSystem API:java.lang.UnsupportedOperationException: Not implemented by the RawLocalFileSystem FileSystem implementation2016-05-12 18:55:13 WARN AlignmentRecordRDDFunctions:521 - Retrying as manual copy from the driver which will degrade performance.[32m- writing unordered sam from unordered sam[0m2016-05-12 18:55:13 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:55:13 WARN AlignmentRecordRDDFunctions:520 - Caught exception when merging via Hadoop FileSystem API:java.lang.UnsupportedOperationException: Not implemented by the RawLocalFileSystem FileSystem implementation2016-05-12 18:55:13 WARN AlignmentRecordRDDFunctions:521 - Retrying as manual copy from the driver which will degrade performance.[32m- writing ordered sam from unordered sam[0m2016-05-12 18:55:14 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:55:14 WARN AlignmentRecordRDDFunctions:520 - Caught exception when merging via Hadoop FileSystem API:java.lang.UnsupportedOperationException: Not implemented by the RawLocalFileSystem FileSystem implementation2016-05-12 18:55:14 WARN AlignmentRecordRDDFunctions:521 - Retrying as manual copy from the driver which will degrade performance.[32m- write single sam file back[0m2016-05-12 18:55:16 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:55:16 WARN AlignmentRecordRDDFunctions:520 - Caught exception when merging via Hadoop FileSystem API:java.lang.UnsupportedOperationException: Not implemented by the RawLocalFileSystem FileSystem implementation2016-05-12 18:55:16 WARN AlignmentRecordRDDFunctions:521 - Retrying as manual copy from the driver which will degrade performance.[32m- write single bam file back[0m[32mFlattenerSuite:[0m[32m- Flatten schema and record[0m[32mShuffleRegionJoinSuite:[0m2016-05-12 18:55:18 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- Overlapping reference regions[0m2016-05-12 18:55:19 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- Multiple reference regions do not throw exception[0m2016-05-12 18:55:20 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- RegionJoin2 contains the same results as cartesianRegionJoin[0m[32mConsensusGeneratorFromReadsSuite:[0m2016-05-12 18:55:21 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- checking search for consensus list for artificial reads[0m[32mNucleotideContigFragmentRDDFunctionsSuite:[0m2016-05-12 18:55:22 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- generate sequence dict from fasta[0m2016-05-12 18:55:22 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- recover reference string from a single contig fragment[0m2016-05-12 18:55:22 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- recover trimmed reference string from a single contig fragment[0m2016-05-12 18:55:23 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- recover reference string from multiple contig fragments[0m2016-05-12 18:55:23 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- recover trimmed reference string from multiple contig fragments[0m2016-05-12 18:55:24 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- save single contig fragment as FASTA text file[0m2016-05-12 18:55:24 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- save single contig fragment with description as FASTA text file[0m2016-05-12 18:55:25 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- save single contig fragment with null fields as FASTA text file[0m2016-05-12 18:55:25 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- save single contig fragment with null fragment number as FASTA text file[0m2016-05-12 18:55:25 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- save single contig fragment with null number of fragments in contig as FASTA text file[0m2016-05-12 18:55:26 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- save multiple contig fragments from same contig as FASTA text file[0m2016-05-12 18:55:26 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- save multiple contig fragments with description from same contig as FASTA text file[0m2016-05-12 18:55:27 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- merge single contig fragment null fragment number[0m2016-05-12 18:55:27 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- merge single contig fragment number zero[0m2016-05-12 18:55:28 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- merge multiple contig fragments[0m[32mFragmentConverterSuite:[0m[32m- build a fragment collector and convert to a read[0m2016-05-12 18:55:28 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- convert an rdd of discontinuous fragments, all from the same contig[0m2016-05-12 18:55:29 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- convert an rdd of contiguous fragments, all from the same contig[0m2016-05-12 18:55:29 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- convert an rdd of varied fragments from multiple contigs[0m[32mInterleavedFastqInputFormatSuite:[0m2016-05-12 18:55:30 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- interleaved FASTQ hadoop reader: interleaved_fastq_sample1.ifq->interleaved_fastq_sample1.ifq.output[0m2016-05-12 18:55:30 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- interleaved FASTQ hadoop reader: interleaved_fastq_sample2.ifq->interleaved_fastq_sample2.ifq.output[0m2016-05-12 18:55:30 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- interleaved FASTQ hadoop reader: interleaved_fastq_sample3.ifq->interleaved_fastq_sample3.ifq.output[0m2016-05-12 18:55:31 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- interleaved FASTQ hadoop reader: interleaved_fastq_sample4.ifq->interleaved_fastq_sample4.ifq.output[0m[32mReferenceRegionSuite:[0m[32m- contains(: ReferenceRegion)[0m[32m- contains(: ReferencePosition)[0m[32m- merge[0m[32m- overlaps[0m[32m- distance(: ReferenceRegion)[0m[32m- distance(: ReferencePosition)[0m[32m- create region from unmapped read fails[0m[32m- create region from mapped read contains read start and end[0m[32m- validate that adjacent regions can be merged[0m[32m- validate that non-adjacent regions cannot be merged[0m[32m- compute convex hull of two sets[0m[32m- region name is sanitized when creating region from read[0m[32m- intersection fails on non-overlapping regions[0m[32m- compute intersection[0m[32m- overlap tests for oriented reference region[0m[32m- check the width of a reference region[0m[32mAlignmentRecordConverterSuite:[0m[32m- testing the fields in a converted ADAM Read[0m[32m- converting a read with null quality is OK[0m[32m- convert a read to fastq[0m[32m- reverse complement reads when converting to fastq[0m[32m- converting to fastq with unmapped reads[0m[32m- converting a fragment with no alignments should yield unaligned reads[0m[32m- converting a fragment with alignments should restore the alignments[0m[32mIntervalListReaderSuite:[0m[32m- Can read the simple GATK-supplied example interval list file[0m[32mSingleFastqInputFormatSuite:[0m2016-05-12 18:55:31 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- FASTQ hadoop reader: fastq_sample1.fq->single_fastq_sample1.fq.output[0m2016-05-12 18:55:31 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- FASTQ hadoop reader: fastq_sample2.fq->single_fastq_sample2.fq.output[0m2016-05-12 18:55:31 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- FASTQ hadoop reader: fastq_sample3.fq->single_fastq_sample3.fq.output[0m2016-05-12 18:55:32 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- FASTQ hadoop reader: fastq_sample4.fq->single_fastq_sample4.fq.output[0m[32mRegExpSuite:[0m[32m- matches returns Some(matcher) when a complete match is found[0m[32m- find returns Some(matcher) when a partial match is found[0m[32mAttributeUtilsSuite:[0m[32m- parseTags returns a reasonable set of tagStrings[0m[32m- parseTags works with NumericSequence tagType[0m[32m- empty string is parsed as zero tagStrings[0m[32m- incorrectly formatted tag throws an exception[0m[32m- string tag with a ':' in it is correctly parsed[0m[32mMarkDuplicatesSuite:[0m2016-05-12 18:55:32 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- single read[0m2016-05-12 18:55:32 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- reads at different positions[0m2016-05-12 18:55:33 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- reads at the same position[0m2016-05-12 18:55:33 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- reads at the same position with clipping[0m2016-05-12 18:55:34 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- reads on reverse strand[0m2016-05-12 18:55:34 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- unmapped reads[0m2016-05-12 18:55:35 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- read pairs[0m2016-05-12 18:55:35 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- read pairs with fragments[0m[32m- quality scores[0m2016-05-12 18:55:36 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- read pairs that cross chromosomes[0m[32mIndelRealignmentTargetSuite:[0m2016-05-12 18:55:37 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- checking simple realignment target[0m2016-05-12 18:55:37 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- creating simple target from read with deletion[0m2016-05-12 18:55:37 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- creating simple target from read with insertion[0m2016-05-12 18:55:37 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- joining simple realignment targets on same chr[0m2016-05-12 18:55:38 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- joining simple realignment targets on different chr throws exception[0m2016-05-12 18:55:38 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- creating targets from three intersecting reads, same indel[0m2016-05-12 18:55:38 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- creating targets from three intersecting reads, two different indel[0m2016-05-12 18:55:38 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- creating targets from two disjoint reads[0m2016-05-12 18:55:38 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- creating targets for artificial reads: one-by-one[0m2016-05-12 18:55:39 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- creating targets for artificial reads: all-at-once (merged)[0m2016-05-12 18:55:39 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- creating indel targets for mason reads[0m[32mTwoBitSuite:[0m[32m- correctly read sequence from .2bit file[0m[32m- correctly return masked sequences from .2bit file[0m[32m- correctly return Ns from .2bit file[0m[32mConsensusSuite:[0m[32m- test the insertion of a consensus insertion into a reference[0m[32m- test the insertion of a consensus deletion into a reference[0m[32m- inserting empty consensus returns the reference[0m[32mDecadentReadSuite:[0m[32m- reference position of decadent read[0m[32m- reference position of decadent read with insertions[0m[32m- build a decadent read from a read with null qual[0m[32m- converting bad read should fail[0m2016-05-12 18:55:40 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:55:40 WARN DecadentRead:64 - Converting read {"readInFragment": 0, "contig": {"contigName": "1", "contigLength": null, "contigMD5": null, "referenceURL": null, "assembly": null, "species": null, "referenceIndex": null}, "start": 248262648, "oldPosition": null, "end": 248262721, "mapq": 23, "readName": null, "sequence": "GATCTTTTCAACAGTTACAGCAGAAAGTTTTCATGGAGAAATGGAATCACACTTCAAATGATTTCATTTTGTTGGG", "qual": "IBBHEFFEKFCKFHFACKFIJFJDCFHFEEDJBCHIFIDDBCGJDBBJAJBJFCIDCACHBDEBHADDDADDAED;", "cigar": "4S1M1D71M", "oldCigar": null, "basesTrimmedFromStart": 0, "basesTrimmedFromEnd": 0, "readPaired": false, "properPair": false, "readMapped": true, "mateMapped": false, "failedVendorQualityChecks": false, "duplicateRead": false, "readNegativeStrand": false, "mateNegativeStrand": false, "primaryAlignment": false, "secondaryAlignment": false, "supplementaryAlignment": false, "mismatchingPositions": "3^C71", "origQual": null, "attributes": null, "recordGroupName": null, "recordGroupSample": null, "mateAlignmentStart": null, "mateAlignmentEnd": null, "mateContig": null, "inferredInsertSize": null} to decadent read failed with java.lang.IllegalArgumentException: Error "(D,Some(3)) (of class scala.Tuple2)" while constructing DecadentRead from Read({"readInFragment": 0, "contig": {"contigName": "1", "contigLength": null, "contigMD5": null, "referenceURL": null, "assembly": null, "species": null, "referenceIndex": null}, "start": 248262648, "oldPosition": null, "end": 248262721, "mapq": 23, "readName": null, "sequence": "GATCTTTTCAACAGTTACAGCAGAAAGTTTTCATGGAGAAATGGAATCACACTTCAAATGATTTCATTTTGTTGGG", "qual": "IBBHEFFEKFCKFHFACKFIJFJDCFHFEEDJBCHIFIDDBCGJDBBJAJBJFCIDCACHBDEBHADDDADDAED;", "cigar": "4S1M1D71M", "oldCigar": null, "basesTrimmedFromStart": 0, "basesTrimmedFromEnd": 0, "readPaired": false, "properPair": false, "readMapped": true, "mateMapped": false, "failedVendorQualityChecks": false, "duplicateRead": false, "readNegativeStrand": false, "mateNegativeStrand": false, "primaryAlignment": false, "secondaryAlignment": false, "supplementaryAlignment": false, "mismatchingPositions": "3^C71", "origQual": null, "attributes": null, "recordGroupName": null, "recordGroupSample": null, "mateAlignmentStart": null, "mateAlignmentEnd": null, "mateContig": null, "inferredInsertSize": null}). Skipping...[32m- convert an RDD that has an bad read in it with loose validation[0m2016-05-12 18:55:40 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:55:40 ERROR Executor:96 - Exception in task 1.0 in stage 0.0 (TID 1)java.lang.IllegalArgumentException: Error "(D,Some(3)) (of class scala.Tuple2)" while constructing DecadentRead from Read({"readInFragment": 0, "contig": {"contigName": "1", "contigLength": null, "contigMD5": null, "referenceURL": null, "assembly": null, "species": null, "referenceIndex": null}, "start": 248262648, "oldPosition": null, "end": 248262721, "mapq": 23, "readName": null, "sequence": "GATCTTTTCAACAGTTACAGCAGAAAGTTTTCATGGAGAAATGGAATCACACTTCAAATGATTTCATTTTGTTGGG", "qual": "IBBHEFFEKFCKFHFACKFIJFJDCFHFEEDJBCHIFIDDBCGJDBBJAJBJFCIDCACHBDEBHADDDADDAED;", "cigar": "4S1M1D71M", "oldCigar": null, "basesTrimmedFromStart": 0, "basesTrimmedFromEnd": 0, "readPaired": false, "properPair": false, "readMapped": true, "mateMapped": false, "failedVendorQualityChecks": false, "duplicateRead": false, "readNegativeStrand": false, "mateNegativeStrand": false, "primaryAlignment": false, "secondaryAlignment": false, "supplementaryAlignment": false, "mismatchingPositions": "3^C71", "origQual": null, "attributes": null, "recordGroupName": null, "recordGroupSample": null, "mateAlignmentStart": null, "mateAlignmentEnd": null, "mateContig": null, "inferredInsertSize": null}) at org.bdgenomics.adam.rich.DecadentRead$.apply(DecadentRead.scala:42) at org.bdgenomics.adam.rich.DecadentRead$.apply(DecadentRead.scala:34) at org.bdgenomics.adam.rich.DecadentRead$$anonfun$cloy$1.apply(DecadentRead.scala:57)at org.bdgenomics.adam.rich.DecadentRead$$anonfun$cloy$1.apply(DecadentRead.scala:55) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1555)at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1125) at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1125)at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850)at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)at org.apache.spark.scheduler.Task.run(Task.scala:88)at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)at java.lang.Thread.run(Unknown Source)Caused by: scala.MatchError: (D,Some(3)) (of class scala.Tuple2)at org.bdgenomics.adam.util.MdTag$.apply(MdTag.scala:71)at org.bdgenomics.adam.rich.RichAlignmentRecord.mdTag$lzycompute(RichAlignmentRecord.scala:98)at org.bdgenomics.adam.rich.RichAlignmentRecord.mdTag(RichAlignmentRecord.scala:96)at org.bdgenomics.adam.rich.RichAlignmentRecord.getReferenceBase$1(RichAlignmentRecord.scala:176)at org.bdgenomics.adam.rich.RichAlignmentRecord.getReferenceContext(RichAlignmentRecord.scala:192)at org.bdgenomics.adam.rich.RichAlignmentRecord$$anonfun$1$$anonfun$2.apply(RichAlignmentRecord.scala:213) at org.bdgenomics.adam.rich.RichAlignmentRecord$$anonfun$1$$anonfun$2.apply(RichAlignmentRecord.scala:211) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) at scala.collection.AbstractTraversable.map(Traversable.scala:105) at org.bdgenomics.adam.rich.RichAlignmentRecord$$anonfun$1.apply(RichAlignmentRecord.scala:211)at org.bdgenomics.adam.rich.RichAlignmentRecord$$anonfun$1.apply(RichAlignmentRecord.scala:200) at scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:111) at scala.collection.immutable.List.foldLeft(List.scala:84) at org.bdgenomics.adam.rich.RichAlignmentRecord.referenceContexts$lzycompute(RichAlignmentRecord.scala:200) at org.bdgenomics.adam.rich.RichAlignmentRecord.referenceContexts(RichAlignmentRecord.scala:198) at org.bdgenomics.adam.rich.RichAlignmentRecord.referencePositions$lzycompute(RichAlignmentRecord.scala:196) at org.bdgenomics.adam.rich.RichAlignmentRecord.referencePositions(RichAlignmentRecord.scala:196) at org.bdgenomics.adam.rich.DecadentRead.<init>(DecadentRead.scala:91) at org.bdgenomics.adam.rich.DecadentRead$.apply(DecadentRead.scala:38) ... 15 more2016-05-12 18:55:40 WARN TaskSetManager:71 - Lost task 1.0 in stage 0.0 (TID 1, localhost): java.lang.IllegalArgumentException: Error "(D,Some(3)) (of class scala.Tuple2)" while constructing DecadentRead from Read({"readInFragment": 0, "contig": {"contigName": "1", "contigLength": null, "contigMD5": null, "referenceURL": null, "assembly": null, "species": null, "referenceIndex": null}, "start": 248262648, "oldPosition": null, "end": 248262721, "mapq": 23, "readName": null, "sequence": "GATCTTTTCAACAGTTACAGCAGAAAGTTTTCATGGAGAAATGGAATCACACTTCAAATGATTTCATTTTGTTGGG", "qual": "IBBHEFFEKFCKFHFACKFIJFJDCFHFEEDJBCHIFIDDBCGJDBBJAJBJFCIDCACHBDEBHADDDADDAED;", "cigar": "4S1M1D71M", "oldCigar": null, "basesTrimmedFromStart": 0, "basesTrimmedFromEnd": 0, "readPaired": false, "properPair": false, "readMapped": true, "mateMapped": false, "failedVendorQualityChecks": false, "duplicateRead": false, "readNegativeStrand": false, "mateNegativeStrand": false, "primaryAlignment": false, "secondaryAlignment": false, "supplementaryAlignment": false, "mismatchingPositions": "3^C71", "origQual": null, "attributes": null, "recordGroupName": null, "recordGroupSample": null, "mateAlignmentStart": null, "mateAlignmentEnd": null, "mateContig": null, "inferredInsertSize": null}) at org.bdgenomics.adam.rich.DecadentRead$.apply(DecadentRead.scala:42) at org.bdgenomics.adam.rich.DecadentRead$.apply(DecadentRead.scala:34) at org.bdgenomics.adam.rich.DecadentRead$$anonfun$cloy$1.apply(DecadentRead.scala:57)at org.bdgenomics.adam.rich.DecadentRead$$anonfun$cloy$1.apply(DecadentRead.scala:55) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1555)at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1125) at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1125)at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850)at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)at org.apache.spark.scheduler.Task.run(Task.scala:88)at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)at java.lang.Thread.run(Unknown Source)Caused by: scala.MatchError: (D,Some(3)) (of class scala.Tuple2)at org.bdgenomics.adam.util.MdTag$.apply(MdTag.scala:71)at org.bdgenomics.adam.rich.RichAlignmentRecord.mdTag$lzycompute(RichAlignmentRecord.scala:98)at org.bdgenomics.adam.rich.RichAlignmentRecord.mdTag(RichAlignmentRecord.scala:96)at org.bdgenomics.adam.rich.RichAlignmentRecord.getReferenceBase$1(RichAlignmentRecord.scala:176)at org.bdgenomics.adam.rich.RichAlignmentRecord.getReferenceContext(RichAlignmentRecord.scala:192)at org.bdgenomics.adam.rich.RichAlignmentRecord$$anonfun$1$$anonfun$2.apply(RichAlignmentRecord.scala:213) at org.bdgenomics.adam.rich.RichAlignmentRecord$$anonfun$1$$anonfun$2.apply(RichAlignmentRecord.scala:211) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) at scala.collection.AbstractTraversable.map(Traversable.scala:105) at org.bdgenomics.adam.rich.RichAlignmentRecord$$anonfun$1.apply(RichAlignmentRecord.scala:211)at org.bdgenomics.adam.rich.RichAlignmentRecord$$anonfun$1.apply(RichAlignmentRecord.scala:200) at scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:111) at scala.collection.immutable.List.foldLeft(List.scala:84) at org.bdgenomics.adam.rich.RichAlignmentRecord.referenceContexts$lzycompute(RichAlignmentRecord.scala:200) at org.bdgenomics.adam.rich.RichAlignmentRecord.referenceContexts(RichAlignmentRecord.scala:198) at org.bdgenomics.adam.rich.RichAlignmentRecord.referencePositions$lzycompute(RichAlignmentRecord.scala:196) at org.bdgenomics.adam.rich.RichAlignmentRecord.referencePositions(RichAlignmentRecord.scala:196) at org.bdgenomics.adam.rich.DecadentRead.<init>(DecadentRead.scala:91) at org.bdgenomics.adam.rich.DecadentRead$.apply(DecadentRead.scala:38) ... 15 more2016-05-12 18:55:40 ERROR TaskSetManager:75 - Task 1 in stage 0.0 failed 1 times; aborting job[32m- converting an RDD that has an bad read in it with strict validation will throw an error[0m[32mAlphabetSuite:[0m[32m- test size of a case-sensitive alphabet[0m[32m- test apply of a case-sensitive alphabet[0m[32m- test reverse complement of a case-sensitive alphabet[0m[32m- test exact reverse complement of a case-sensitive alphabet[0m[32m- test size of a case-insensitive alphabet[0m[32m- test apply of a case-insensitive alphabet[0m[32m- test reverse complement of a case-insensitive alphabet[0m[32m- test exact reverse complement of a case-insensitive alphabet[0m[32m- DNA alphabet[0m[32m- map unknown bases to N[0m[32mFieldEnumerationSuite:[0m2016-05-12 18:55:41 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".SLF4J: Defaulting to no-operation (NOP) logger implementationSLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.[32m- Empty projections are illegal[0m2016-05-12 18:55:43 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:55:43 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- Simple projection on Read works[0m[32mBroadcastRegionJoinSuite:[0m[32m- alternating returns an alternating seq of items[0m[32m- Single region returns itself[0m[32m- Two adjacent regions will be merged[0m[32m- Nonoverlapping regions will all be returned[0m[32m- Many overlapping regions will all be merged[0m[32m- ADAMRecords return proper references[0m2016-05-12 18:55:44 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- Ensure same reference regions get passed together[0m2016-05-12 18:55:46 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- Overlapping reference regions[0m2016-05-12 18:55:47 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- Multiple reference regions do not throw exception[0m2016-05-12 18:55:49 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- regionJoin contains the same results as cartesianRegionJoin[0m[32mCoverageSuite:[0m[32m- regionToWindows[0m[32m- calculate empty coverage[0m[32m- calculate coverage of one region[0m[32m- calculate coverage of two regions[0m[32m- calculate coverage of three regions[0m[32m- calculate coverage of two adjacent regions[0m[32m- calculate coverage of two nearby regions[0m[32m- calculate coverage of three out-of-order regions[0m[32m- calculate coverage of two regions which join at a window boundary[0m2016-05-12 18:55:51 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- find empty coverage[0m2016-05-12 18:55:51 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- find coverage of one region[0m2016-05-12 18:55:53 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- find coverage of two regions[0m2016-05-12 18:55:56 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- find coverage of three regions[0m2016-05-12 18:55:57 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- find coverage of two adjacent regions[0m2016-05-12 18:56:00 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- find coverage of two nearby regions[0m2016-05-12 18:56:04 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- find coverage of three out-of-order regions[0m2016-05-12 18:56:06 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- find coverage of two regions which join at a window boundary[0m[32mVariantContextConverterSuite:[0m[32m- Convert GATK site-only SNV to ADAM[0m[32m- Convert GATK site-only SNV to ADAM with contig conversion[0m[32m- Convert GATK site-only CNV to ADAM[0m[32m- Convert GATK SNV w/ genotypes w/ phase information to ADAM[0m[32m- Convert GATK SNV with different filters to ADAM[0m[32m- Convert ADAM site-only SNV to GATK[0m[32m- Convert ADAM site-only SNV to GATK with contig conversion[0m[32m- Convert ADAM SNV w/ genotypes to GATK[0m[32m- Convert GATK multi-allelic sites-only SNVs to ADAM[0m[32m- Convert GATK multi-allelic SNVs to ADAM[0m[32m- Convert gVCF reference records to ADAM[0m[32mAttributeSuite:[0m[32m- test SAMTagAndValue parsing[0m[32m- Attributes can be correctly re-encoded as text SAM tags[0m[32mSAMRecordConverterSuite:[0m[32m- testing the fields in an alignmentRecord obtained from a mapped samRecord conversion[0m[32m- testing the fields in an alignmentRecord obtained from an unmapped samRecord conversion[0m[32m- '*' quality gets nulled out[0m[32mADAMContextSuite:[0m2016-05-12 18:56:11 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- sc.loadParquet should not fail on unmapped reads[0m2016-05-12 18:56:11 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- sc.loadParquet should not load a file without a type specified[0m2016-05-12 18:56:12 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- can read a small .SAM file[0m2016-05-12 18:56:12 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- can read a small .SAM with all attribute tag types[0m2016-05-12 18:56:12 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- can filter a .SAM file based on quality[0m[32m- Can convert to phred[0m[32m- Can convert from phred[0m2016-05-12 18:56:13 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- findFiles correctly finds a nested set of directories[0m2016-05-12 18:56:13 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- loadADAMFromPaths can load simple RDDs that have just been saved[0m2016-05-12 18:56:15 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- Can read a .gtf file[0m2016-05-12 18:56:16 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- Can read a .bed file[0m2016-05-12 18:56:16 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- Can read a .narrowPeak file[0m2016-05-12 18:56:17 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:56:18 WARN QueuedThreadPool:145 - 8 threads could not be stopped[32m- Can read a .interval_list file[0m2016-05-12 18:56:19 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- can read a small .vcf file[0m2016-05-12 18:56:20 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- import records from interleaved FASTQ: 1[0m2016-05-12 18:56:21 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- import records from interleaved FASTQ: 2[0m2016-05-12 18:56:21 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- import records from interleaved FASTQ: 3[0m2016-05-12 18:56:22 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- import records from interleaved FASTQ: 4[0m2016-05-12 18:56:22 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- import records from single ended FASTQ: 1[0m2016-05-12 18:56:23 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- import records from single ended FASTQ: 2[0m2016-05-12 18:56:23 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- import records from single ended FASTQ: 3[0m2016-05-12 18:56:23 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- import records from single ended FASTQ: 4[0m2016-05-12 18:56:24 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- filter on load using the filter2 API[0m[32mRichCigarSuite:[0m[32m- moving 2 bp from a deletion to a match operator[0m[32m- moving 2 bp from a insertion to a match operator[0m[32m- moving 1 base in a two element cigar[0m[32m- move to start of read[0m[32mUtilSuite:[0m[32m- isSameConfig[0m[32mMDTaggingSuite:[0m2016-05-12 18:56:25 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- test adding MDTags over boundary[0m2016-05-12 18:56:26 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- test adding MDTags; reads span full contig[0m2016-05-12 18:56:27 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- test adding MDTags; reads start inside first fragment[0m2016-05-12 18:56:28 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- test adding MDTags; reads end inside last fragment[0m2016-05-12 18:56:28 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- test adding MDTags; reads start inside first fragment and end inside last fragment[0m2016-05-12 18:56:29 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- test adding MDTags; reads start and end in middle fragements[0m[32mNormalizationUtilsSuite:[0m[32m- cannot move an indel left if there are no bases to it's left[0m[32m- move a simple indel to farthest position left until bases run out[0m[32m- move a simple indel to farthest position left, past length of indel[0m[32m- cannot move a left normalized indel in a short tandem repeat[0m[32m- move an indel in a short tandem repeat[0m[32m- move an indel in a short tandem repeat of more than 2 bases, where shift is not an integer multiple of repeated sequence length[0m[32m- moving a simple read with single deletion that cannot shift[0m[32m- shift an indel left by 0 in a cigar[0m[32m- shift an indel left by 1 in a cigar[0m[32m- do not left align a complex read which is already left aligned[0m[32mSmithWatermanSuite:[0m[32m- gather max position from simple scoring matrix[0m[32m- gather max position from irregular scoring matrix[0m[32m- gather max position from irregular scoring matrix with deletions[0m[32m- score simple alignment with constant gap[0m[32m- score irregular scoring matrix[0m[32m- score irregular scoring matrix with indel[0m[32m- can unroll cigars correctly[0m[32m- execute simple trackback[0m[32m- execute trackback with indel[0m[32m- run end to end smith waterman for simple reads[0m[32m- run end to end smith waterman for short sequences with indel[0m[32m- run end to end smith waterman for longer sequences with snp[0m[32m- run end to end smith waterman for longer sequences with short indel[0m[32m- run end to end smith waterman for shorter sequence in longer sequence[0m[32m- run end to end smith waterman for shorter sequence in longer sequence, with indel[0m[32mFastaConverterSuite:[0m2016-05-12 18:56:29 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- find contig index[0m[32m- convert a single record without naming information[0m[32m- convert a single record with naming information[0m2016-05-12 18:56:29 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- convert single fasta sequence[0m2016-05-12 18:56:30 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- convert fasta with multiple sequences[0m2016-05-12 18:56:31 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- convert fasta with multiple sequences; short fragment[0m2016-05-12 18:56:32 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- convert reference fasta file[0m[32mIndelTableSuite:[0m[32m- check for indels in a region with known indels[0m[32m- check for indels in a contig that doesn't exist[0m[32m- check for indels in a region without known indels[0m2016-05-12 18:56:34 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- build indel table from rdd of variants[0m[32mRealignIndelsSuite:[0m2016-05-12 18:56:34 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- checking mapping to targets for artificial reads[0m2016-05-12 18:56:34 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- checking alternative consensus for artificial reads[0m2016-05-12 18:56:35 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- checking extraction of reference from reads[0m2016-05-12 18:56:35 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- checking realigned reads for artificial input[0m2016-05-12 18:56:36 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- test mismatch quality scoring[0m2016-05-12 18:56:36 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- test mismatch quality scoring for no mismatches[0m2016-05-12 18:56:36 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- test mismatch quality scoring after unpacking read[0m[32m- we shouldn't try to realign a region with no target[0m2016-05-12 18:56:36 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- we shouldn't try to realign reads with no indel evidence[0m2016-05-12 18:56:37 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- test OP and OC tags[0m[32mBaseQualityRecalibrationSuite:[0m2016-05-12 18:56:37 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- BQSR Test Input #1[0m2016-05-12 18:56:49 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- BQSR Test Input #1 w/ VCF Sites[0m[32mProgramRecordSuite:[0m[32m- convert a sam program record with no optional fields into a program record and v/v[0m[32m- convert a sam program record into a program record and v/v[0m[32mSequenceDictionarySuite:[0m[32m- Convert from sam sequence record and back[0m[32m- Convert from SAM sequence dictionary file (with extra fields)[0m[32m- merge into existing dictionary[0m[32m- Convert from SAM sequence dictionary and back[0m[32m- Can retrieve sequence by name[0m[32m- SequenceDictionary's with same single element are equal[0m[32m- SequenceDictionary's with same two elements are equals[0m[32m- SequenceDictionary's with different elements are unequal[0m[32m- SequenceDictionaries with same elements in different order are compatible[0m[32m- isCompatible tests equality on overlap[0m[32m- The addition + works correctly[0m[32m- The append operation ++ works correctly[0m[32m- ContainsRefName works correctly for different string types[0m[32m- Apply on name works correctly for different String types[0m[32m- convert from sam sequence record and back[0m[32m- convert from sam sequence dictionary and back[0m[32m- conversion to sam sequence dictionary has correct sort order[0m[32mGenomicPositionPartitionerSuite:[0m[32m- partitions the UNMAPPED ReferencePosition into the top partition[0m[32m- if we do not have a contig for a record, we throw an IAE[0m[32m- partitioning into N pieces on M total sequence length, where N > M, results in M partitions[0m[32m- correctly partitions a single dummy sequence into two pieces[0m[32m- correctly counts cumulative lengths[0m[32m- correctly partitions positions across two dummy sequences[0m2016-05-12 18:56:56 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:56:56 WARN TaskSetManager:71 - Stage 0 contains a task of very large size (131 KB). The maximum recommended task size is 100 KB.2016-05-12 18:56:56 WARN TaskSetManager:71 - Stage 1 contains a task of very large size (131 KB). The maximum recommended task size is 100 KB.[32m- test that we can range partition ADAMRecords[0m2016-05-12 18:56:59 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- test that simple partitioning works okay on a reasonable set of ADAMRecords[0m[32mRichAlignmentRecordSuite:[0m[32m- referenceLengthFromCigar[0m[32m- Unclipped Start[0m[32m- Unclipped End[0m[32m- Illumina Optics[0m[32m- Cigar Clipping Sequence[0m[32m- tags contains optional fields[0m[32m- Reference Positions[0m[32m- read overlap unmapped read[0m[32m- read overlap reference position[0m[32m- read overlap same position different contig[0m[32mGeneSuite:[0m2016-05-12 18:57:00 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- can load a set of gene models from an Ensembl GTF file[0m2016-05-12 18:57:01 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- can load a set of gene models from a Gencode GTF file[0m2016-05-12 18:57:03 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- chr20 gencode transcript sequences match the published sequences[0m[32mMapToolsSuite:[0m[32m- add two nonzero integer maps[0m[32m- add two nonzero float maps[0m[32m- adding an empty map is the identity[0m[32mRecordGroupDictionarySuite:[0m[32m- simple conversion to and from sam read group[0m[32m- sample name must be set[0m[32m- simple equality checks[0m[36mRun completed in 2 minutes, 41 seconds.[0m[36mTotal number of tests run: 373[0m[36mSuites: completed 52, aborted 0[0m[36mTests: succeeded 373, failed 0, canceled 0, ignored 0, pending 0[0m[32mAll tests passed.[0m2016-5-12 18:56:25 INFO: org.apache.parquet.filter2.compat.FilterCompat: Filtering using predicate: eq(start, 16097631)2016-5-12 18:56:25 INFO: org.apache.parquet.filter2.compat.FilterCompat: Filtering using predicate: eq(start, 16097631)[INFO] [INFO] ------------------------------------------------------------------------[INFO] Building ADAM_2.10: APIs for Java 0.19.0[INFO] ------------------------------------------------------------------------[INFO] [INFO] --- maven-enforcer-plugin:1.0:enforce (enforce-versions) @ adam-apis_2.10 ---[INFO] [INFO] --- maven-enforcer-plugin:1.0:enforce (enforce-maven) @ adam-apis_2.10 ---[INFO] [INFO] --- build-helper-maven-plugin:1.9.1:add-source (add-source) @ adam-apis_2.10 ---[INFO] Source directory: D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-apis\src\main\scala added.[INFO] [INFO] --- scalariform-maven-plugin:0.1.4:format (default-cli) @ adam-apis_2.10 ---[INFO] Modified 0 of 4 .scala files[INFO] [INFO] --- maven-resources-plugin:2.7:resources (default-resources) @ adam-apis_2.10 ---[INFO] Using 'UTF-8' encoding to copy filtered resources.[INFO] skip non existing resourceDirectory D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-apis\src\main\resources[INFO] [INFO] --- scala-maven-plugin:3.2.2:compile (scala-compile-first) @ adam-apis_2.10 ---[WARNING] Expected all dependencies to require Scala version: 2.10.4[WARNING] com.twitter:chill_2.10:0.5.0 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-remote_2.10:2.3.11 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-actor_2.10:2.3.11 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-slf4j_2.10:2.3.11 requires scala version: 2.10.4[WARNING] org.apache.spark:spark-core_2.10:1.5.2 requires scala version: 2.10.4[WARNING] org.json4s:json4s-jackson_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-core_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-ast_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-core_2.10:3.2.10 requires scala version: 2.10.0[WARNING] Multiple versions of scala libraries detected![INFO] Nothing to compile - all classes are up to date[INFO] [INFO] --- maven-compiler-plugin:3.3:compile (default-compile) @ adam-apis_2.10 ---[INFO] Nothing to compile - all classes are up to date[INFO] [INFO] --- build-helper-maven-plugin:1.9.1:add-test-source (add-test-source) @ adam-apis_2.10 ---[INFO] Test Source directory: D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-apis\src\test\scala added.[INFO] [INFO] --- maven-resources-plugin:2.7:testResources (default-testResources) @ adam-apis_2.10 ---[INFO] Using 'UTF-8' encoding to copy filtered resources.[INFO] skip non existing resourceDirectory D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-apis\src\test\resources[INFO] [INFO] --- scala-maven-plugin:3.2.2:testCompile (scala-test-compile-first) @ adam-apis_2.10 ---[WARNING] Expected all dependencies to require Scala version: 2.10.4[WARNING] com.twitter:chill_2.10:0.5.0 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-remote_2.10:2.3.11 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-actor_2.10:2.3.11 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-slf4j_2.10:2.3.11 requires scala version: 2.10.4[WARNING] org.apache.spark:spark-core_2.10:1.5.2 requires scala version: 2.10.4[WARNING] org.json4s:json4s-jackson_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-core_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-ast_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-core_2.10:3.2.10 requires scala version: 2.10.0[WARNING] Multiple versions of scala libraries detected![INFO] Nothing to compile - all classes are up to date[INFO] [INFO] --- maven-compiler-plugin:3.3:testCompile (default-testCompile) @ adam-apis_2.10 ---[INFO] Nothing to compile - all classes are up to date[INFO] [INFO] --- maven-surefire-plugin:2.18.1:test (default-test) @ adam-apis_2.10 ---[INFO] Tests are skipped.[INFO] [INFO] --- scalatest-maven-plugin:1.0:test (test) @ adam-apis_2.10 ---[36mDiscovery starting.[0m[36mDiscovery completed in 377 milliseconds.[0m[36mRun starting. Expected test count is: 2[0m[32mJavaADAMContextSuite:[0m2016-05-12 18:57:10 WARN NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable2016-05-12 18:57:12 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:57:14 WARN :139 - Your hostname, xubo-PC resolves to a loopback/non-reachable address: fe80:0:0:0:482:722f:5976:ce1f%20, but we couldn't find any external IP address![32m- can read a small .SAM file[0m2016-05-12 18:57:17 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".SLF4J: Defaulting to no-operation (NOP) logger implementationSLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.[32m- can read a small .SAM file inside of java[0m[36mRun completed in 10 seconds, 133 milliseconds.[0m[36mTotal number of tests run: 2[0m[36mSuites: completed 2, aborted 0[0m[36mTests: succeeded 2, failed 0, canceled 0, ignored 0, pending 0[0m[32mAll tests passed.[0m[INFO] [INFO] ------------------------------------------------------------------------[INFO] Building ADAM_2.10: CLI 0.19.0[INFO] ------------------------------------------------------------------------[INFO] [INFO] --- maven-enforcer-plugin:1.0:enforce (enforce-versions) @ adam-cli_2.10 ---[INFO] [INFO] --- maven-enforcer-plugin:1.0:enforce (enforce-maven) @ adam-cli_2.10 ---[INFO] [INFO] --- git-commit-id-plugin:2.2.0:revision (default) @ adam-cli_2.10 ---[INFO] [INFO] --- templating-maven-plugin:1.0-alpha-3:filter-sources (filter-src) @ adam-cli_2.10 ---[INFO] Using 'UTF-8' encoding to copy filtered resources.[INFO] Copying 1 resource[INFO] Source directory: D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-cli\target\generated-sources\java-templates added.[INFO] [INFO] --- build-helper-maven-plugin:1.9.1:add-source (add-source) @ adam-cli_2.10 ---[INFO] Source directory: D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-cli\src\main\scala added.[INFO] [INFO] --- scalariform-maven-plugin:0.1.4:format (default-cli) @ adam-cli_2.10 ---[INFO] Modified 0 of 36 .scala files[INFO] [INFO] --- maven-resources-plugin:2.7:resources (default-resources) @ adam-cli_2.10 ---[INFO] Using 'UTF-8' encoding to copy filtered resources.[INFO] Copying 1 resource[INFO] [INFO] --- scala-maven-plugin:3.2.2:compile (scala-compile-first) @ adam-cli_2.10 ---[WARNING] Expected all dependencies to require Scala version: 2.10.4[WARNING] com.twitter:chill_2.10:0.5.0 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-remote_2.10:2.3.11 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-actor_2.10:2.3.11 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-slf4j_2.10:2.3.11 requires scala version: 2.10.4[WARNING] org.apache.spark:spark-core_2.10:1.5.2 requires scala version: 2.10.4[WARNING] org.json4s:json4s-jackson_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-core_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-ast_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-core_2.10:3.2.10 requires scala version: 2.10.0[WARNING] Multiple versions of scala libraries detected![INFO] D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-cli\target\generated-sources\java-templates:-1: info: compiling[INFO] D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-cli\src\main\scala:-1: info: compiling[INFO] Compiling 26 source files to D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-cli\target\scala-2.10.4\classes at 1463050642158[INFO] prepare-compile in 0 s[INFO] compile in 20 s[INFO] [INFO] --- maven-compiler-plugin:3.3:compile (default-compile) @ adam-cli_2.10 ---[INFO] Changes detected - recompiling the module![INFO] Compiling 1 source file to D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-cli\target\scala-2.10.4\classes[INFO] [INFO] --- build-helper-maven-plugin:1.9.1:add-test-source (add-test-source) @ adam-cli_2.10 ---[INFO] Test Source directory: D:\all\eclipse432\adam-2.10-0.19-git-bin\adam-2.10-0.19-git\adam-cli\src\test\scala added.[INFO] [INFO] --- maven-resources-plugin:2.7:testResources (default-testResources) @ adam-cli_2.10 ---[INFO] Using 'UTF-8' encoding to copy filtered resources.[INFO] Copying 9 resources[INFO] [INFO] --- scala-maven-plugin:3.2.2:testCompile (scala-test-compile-first) @ adam-cli_2.10 ---[WARNING] Expected all dependencies to require Scala version: 2.10.4[WARNING] com.twitter:chill_2.10:0.5.0 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-remote_2.10:2.3.11 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-actor_2.10:2.3.11 requires scala version: 2.10.4[WARNING] com.typesafe.akka:akka-slf4j_2.10:2.3.11 requires scala version: 2.10.4[WARNING] org.apache.spark:spark-core_2.10:1.5.2 requires scala version: 2.10.4[WARNING] org.json4s:json4s-jackson_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-core_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-ast_2.10:3.2.10 requires scala version: 2.10.4[WARNING] org.json4s:json4s-core_2.10:3.2.10 requires scala version: 2.10.0[WARNING] Multiple versions of scala libraries detected![INFO] Nothing to compile - all classes are up to date[INFO] [INFO] --- maven-compiler-plugin:3.3:testCompile (default-testCompile) @ adam-cli_2.10 ---[INFO] Nothing to compile - all classes are up to date[INFO] [INFO] --- maven-surefire-plugin:2.18.1:test (default-test) @ adam-cli_2.10 ---[INFO] Tests are skipped.[INFO] [INFO] --- scalatest-maven-plugin:1.0:test (test) @ adam-cli_2.10 ---[36mDiscovery starting.[0m[36mDiscovery completed in 458 milliseconds.[0m[36mRun starting. Expected test count is: 33[0m[32mTransformSuite:[0m2016-05-12 18:57:46 WARN NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable2016-05-12 18:57:48 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:57:50 WARN :139 - Your hostname, xubo-PC resolves to a loopback/non-reachable address: fe80:0:0:0:482:722f:5976:ce1f%20, but we couldn't find any external IP address!2016-05-12 18:57:52 WARN AlignmentRecordRDDFunctions:520 - Caught exception when merging via Hadoop FileSystem API:java.lang.UnsupportedOperationException: Not implemented by the RawLocalFileSystem FileSystem implementation2016-05-12 18:57:52 WARN AlignmentRecordRDDFunctions:521 - Retrying as manual copy from the driver which will degrade performance.[32m- unordered sam to unordered sam[0m2016-05-12 18:57:53 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:57:54 WARN AlignmentRecordRDDFunctions:520 - Caught exception when merging via Hadoop FileSystem API:java.lang.UnsupportedOperationException: Not implemented by the RawLocalFileSystem FileSystem implementation2016-05-12 18:57:54 WARN AlignmentRecordRDDFunctions:521 - Retrying as manual copy from the driver which will degrade performance.[32m- unordered sam to ordered sam[0m2016-05-12 18:57:55 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".SLF4J: Defaulting to no-operation (NOP) logger implementationSLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.2016-05-12 18:57:57 WARN AlignmentRecordRDDFunctions:520 - Caught exception when merging via Hadoop FileSystem API:java.lang.UnsupportedOperationException: Not implemented by the RawLocalFileSystem FileSystem implementation2016-05-12 18:57:57 WARN AlignmentRecordRDDFunctions:521 - Retrying as manual copy from the driver which will degrade performance.[32m- unordered sam, to adam, to sam[0m2016-05-12 18:57:57 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:57:58 WARN AlignmentRecordRDDFunctions:520 - Caught exception when merging via Hadoop FileSystem API:java.lang.UnsupportedOperationException: Not implemented by the RawLocalFileSystem FileSystem implementation2016-05-12 18:57:58 WARN AlignmentRecordRDDFunctions:521 - Retrying as manual copy from the driver which will degrade performance.[32m- unordered sam, to adam, to ordered sam[0m[32mFlattenSuite:[0m2016-05-12 18:57:58 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- can flatten a simple VCF file[0m[32mFlagStatSuite:[0m2016-05-12 18:58:00 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- Standard FlagStat test[0m[32mViewSuite:[0m2016-05-12 18:58:01 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:58:02 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- -f 0 -F 0 is a no-op[0m2016-05-12 18:58:02 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:58:03 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- no -f or -F args is a no-op[0m2016-05-12 18:58:03 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:58:04 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- -f 4: only unmapped reads[0m2016-05-12 18:58:04 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:58:04 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- -F 4: only mapped reads[0m2016-05-12 18:58:05 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:58:05 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- -f 4 -F 8: unmapped reads with mapped mates[0m2016-05-12 18:58:05 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:58:06 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- -f 12: unmapped reads with unmapped mates[0m2016-05-12 18:58:06 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:58:06 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- -g 12: reads that are unmapped or whose mate is unmapped[0m2016-05-12 18:58:06 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:58:07 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- -F 12: mapped reads with mapped mates[0m2016-05-12 18:58:07 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:58:08 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- -g 36: unmapped reads or reads with mate on negative strand[0m2016-05-12 18:58:08 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:58:08 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- -F 36: unmapped reads or reads with mate on negative strand[0m[32mPluginExecutorSuite:[0m2016-05-12 18:58:08 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- take10 works correctly on example SAM[0m2016-05-12 18:58:09 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- java take10 works correctly on example SAM[0m2016-05-12 18:58:09 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- takeN works correctly on example SAM with arg of '3'[0m[32mADAM2FastaSuite:[0m2016-05-12 18:58:09 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- round trip FASTA to nucleotide contig fragments in ADAM format to FASTA[0m[32mFeatures2ADAMSuite:[0m[33m- can convert a simple BED file !!! IGNORED !!![0m2016-05-12 18:58:11 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.[32m- can convert a simple wigfix file[0m[32mAboutSuite:[0m[32m- template variables have been replaced[0m[32m- templated values are not empty[0m[32mADAMMainSuite:[0m[32m- default command groups is not empty[0m[32m- module provides default command groups[0m[32m- inject default command groups when called via main[0m[32m- command groups is empty when called via apply[0m[32m- single command group[0m[32m- add new command group to default command groups[0m[32m- module restores default command groups when called via apply[0m[32m- custom module with single command group[0m[32m- custom module with new command group added to default command groups[0m[32mAdam2FastqSuite:[0m2016-05-12 18:58:12 WARN MetricsSystem:71 - Using default name DAGScheduler for source because spark.app.id is not set.2016-05-12 18:58:13 ERROR AlignmentRecordRDDFunctions:75 - Found 16 read names that don't occur exactly twice: 1x: 16Samples: SRR062634.16445865 SRR062634.9119161 SRR062634.17190076 SRR062634.17969132 SRR062634.7301099 SRR062634.2087100 SRR062634.20911784 SRR062634.16769670 SRR062634.18958430 SRR062634.12099057 SRR062634.12606172 SRR062634.14985224 SRR062634.10448889 SRR062634.4789722 SRR062634.3203184 SRR062634.17698657[32m- convert SAM to paired FASTQ[0m[36mRun completed in 30 seconds, 260 milliseconds.[0m[36mTotal number of tests run: 33[0m[36mSuites: completed 11, aborted 0[0m[36mTests: succeeded 33, failed 0, canceled 0, ignored 1, pending 0[0m[32mAll tests passed.[0m[INFO] ------------------------------------------------------------------------[INFO] Reactor Summary:[INFO] [INFO] ADAM_2.10 .......................................... SUCCESS [ 9.666 s][INFO] ADAM_2.10: Core .................................... SUCCESS [02:57 min][INFO] ADAM_2.10: APIs for Java ........................... SUCCESS [ 13.568 s][INFO] ADAM_2.10: CLI ..................................... SUCCESS [ 56.670 s][INFO] ------------------------------------------------------------------------[INFO] BUILD SUCCESS[INFO] ------------------------------------------------------------------------[INFO] Total time: 04:17 min[INFO] Finished at: 2016-05-12T18:58:16+08:00[INFO] Final Memory: 61M/486M[INFO] ------------------------------------------------------------------------
0 0
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