Found in titles:
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Python: array [100%] (library)
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DMelt: mikera.arrayz.Array [50%] (Java API)
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DMelt: org.jzy3d.maths.Array [50%] (Java API)
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DMelt: org.mapdb.Serializer.Array [50%] (Java API)
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DMelt: weka.core.pmml.Array [50%] (Java API)
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JDK15: java.lang.reflect.Array [50%] (java.base)
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JDK15: java.sql.Array [50%] (java.sql)
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DMelt: boofcv.alg.interpolate.array.Interpolate1D_F32 [43%] (Java API)
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DMelt: boofcv.alg.interpolate.array.LagrangeFormula [43%] (Java API)
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DMelt: boofcv.alg.interpolate.array.PolynomialNevilleFixed_F32 [43%] (Java API)
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DMelt: boofcv.alg.interpolate.array.PolynomialNeville_F32 [43%] (Java API)
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DMelt: boofcv.alg.interpolate.array.package-frame [43%] (Java API)
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DMelt: boofcv.alg.interpolate.array.package-summary [43%] (Java API)
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DMelt: gnu.trove.list.array.TByteArrayList [43%] (Java API)
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DMelt: gnu.trove.list.array.TCharArrayList [43%] (Java API)
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DMelt: gnu.trove.list.array.TDoubleArrayList [43%] (Java API)
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DMelt: gnu.trove.list.array.TFloatArrayList [43%] (Java API)
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DMelt: gnu.trove.list.array.TIntArrayList [43%] (Java API)
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DMelt: gnu.trove.list.array.TLongArrayList [43%] (Java API)
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DMelt: gnu.trove.list.array.TShortArrayList [43%] (Java API)
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DMelt: gnu.trove.list.array.package-frame [43%] (Java API)
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DMelt: gnu.trove.list.array.package-summary [43%] (Java API)
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DMelt: gnu.trove.procedure.array.ToObjectArrayProceedure [43%] (Java API)
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DMelt: gnu.trove.procedure.array.package-frame [43%] (Java API)
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DMelt: gnu.trove.procedure.array.package-summary [43%] (Java API)
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DMelt: gnu.trove.stack.array.TByteArrayStack [43%] (Java API)
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DMelt: gnu.trove.stack.array.TCharArrayStack [43%] (Java API)
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DMelt: gnu.trove.stack.array.TDoubleArrayStack [43%] (Java API)
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DMelt: gnu.trove.stack.array.TFloatArrayStack [43%] (Java API)
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DMelt: gnu.trove.stack.array.TIntArrayStack [43%] (Java API)
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DMelt: gnu.trove.stack.array.TLongArrayStack [43%] (Java API)
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DMelt: gnu.trove.stack.array.TShortArrayStack [43%] (Java API)
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DMelt: gnu.trove.stack.array.package-frame [43%] (Java API)
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DMelt: gnu.trove.stack.array.package-summary [43%] (Java API)
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DMelt: org.encog.util.arrayutil.Array [43%] (Java API)
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DMelt: org.jplot2d.data.BooleanMaskBuffer.Array [43%] (Java API)
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DMelt: org.jplot2d.data.ByteDataBuffer.Array [43%] (Java API)
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DMelt: org.jplot2d.data.DoubleDataBuffer.Array [43%] (Java API)
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DMelt: org.jplot2d.data.FloatDataBuffer.Array [43%] (Java API)
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DMelt: org.jplot2d.data.IntDataBuffer.Array [43%] (Java API)
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DMelt: org.jplot2d.data.ShortDataBuffer.Array [43%] (Java API)
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DMelt: org.jquantlib.math.matrixutilities.Array [43%] (Java API)
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DMelt: weka.core.pmml.Array.ArrayType [43%] (Java API)
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Jython Example: stat_histo.py [37%] statistical characteristions on an array
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DMelt: org.matheclipse.core.builtin.function.Array [37%] (Java API)
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DMelt: org.matheclipse.core.builtin.function.Array.ArrayIterator [37%] (Java API)
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Jython Example: points3.py [31%] P1D 2D array with errors filled as area
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Jython Example: points0.py [31%] 1D array converted and shown as a H1D histgrams.
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Jython Example: trove_lists.py [31%] Sorting benchmark for Java and Trove data array
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Jython Example: fit_p1d.py [31%] Interactive fit of P1D array and HFit
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Jython Example: points_pnd.py [31%] PND array for n-space and convertion to a histogram
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Jython Example: flanagan_array.py [31%] External array from Flanagan's library
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Java Example: BasicNDArrayUsage.java [31%] Create N-dimensional array with VectorZ
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Jython Example: points2.py [25%] Data array P1D and how to show it using HPlot
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Jython Example: derby_db_memory.py [25%] Write and read 2D array and histogram to SQL Derby database (in-memory)
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Jython Example: canvas2D_jas.py [25%] Showing histograms and array in JAS plotter, then do a fit in 2D
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JDK15: javax.print.DocFlavor.BYTE_ARRAY [62%] (java.desktop)
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JDK15: javax.print.DocFlavor.CHAR_ARRAY [62%] (java.desktop)
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DataMelt API: smetana.core.size_t_array_of_array_of_something_allocated [53%] (Java API)
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DataMelt API: smetana.core.size_t_array_of_array_of_something_empty [53%] (Java API)
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DataMelt API: ca.pfv.spmf.input.sequence_database_array_integers.Sequence [50%] (Java API)
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DataMelt API: ca.pfv.spmf.input.sequence_database_array_integers.SequenceDatabase [50%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.itemset_array_integers_with_count.Itemset [50%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.itemset_array_integers_with_count.Itemsets [50%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.itemset_array_integers_with_tids.Itemset [50%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.itemset_array_integers_with_tids.Itemsets [50%] (Java API)
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DataMelt API: smetana.core.__array_of_cstring__ [50%] (Java API)
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DataMelt API: smetana.core.__array_of_cstring_impl__ [50%] (Java API)
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DataMelt API: smetana.core.__array_of_double__ [50%] (Java API)
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DataMelt API: smetana.core.__array_of_integer__ [50%] (Java API)
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DataMelt API: smetana.core.__array_of_integer_impl__ [50%] (Java API)
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DataMelt API: smetana.core.__array_of_ptr__ [50%] (Java API)
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DataMelt API: smetana.core.__array_of_ptr_impl__ [50%] (Java API)
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DataMelt API: smetana.core.__array_of_struct__ [50%] (Java API)
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DataMelt API: smetana.core.__array_of_struct_impl__ [50%] (Java API)
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DataMelt API: smetana.core.size_t_array_of_charstars [50%] (Java API)
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DataMelt API: smetana.core.size_t_array_of_integer [50%] (Java API)
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DataMelt API: smetana.core.size_t_array_of_something [50%] (Java API)
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DataMelt API: ca.pfv.spmf.input.sequence_database_array_integers.package-frame [43%] (Java API)
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DataMelt API: ca.pfv.spmf.input.sequence_database_array_integers.package-summary [43%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.itemset_array_integers_with_count.package-frame [43%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.itemset_array_integers_with_count.package-summary [43%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.itemset_array_integers_with_tids.package-frame [43%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.itemset_array_integers_with_tids.package-summary [43%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.itemset_array_integers_with_tids_bitset.Itemset [43%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.itemset_array_integers_with_tids_bitset.Itemsets [43%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.rule_itemset_array_integer_with_count.Rule [43%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.rule_itemset_array_integer_with_count.Rules [43%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.itemset_array_integers_with_tids_bitset.package-frame [37%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.itemset_array_integers_with_tids_bitset.package-summary [37%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.rule_itemset_array_integer_with_count.package-frame [37%] (Java API)
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DataMelt API: ca.pfv.spmf.patterns.rule_itemset_array_integer_with_count.package-summary [37%] (Java API)
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Jython Example: array_large.py [25%] Large arrays that can store up to 2^63 elements
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