Mercurial > repos > bgruening > numeric_clustering
changeset 0:a3fd214e7555 draft default tip
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit bafd56379ff227fb81f8cd61d708ebc39814da54
| author | bgruening |
|---|---|
| date | Fri, 01 Jan 2016 18:37:54 -0500 |
| parents | |
| children | |
| files | Untitled.ipynb foo.tab numeric_clustering.xml test-data/cluster_result01.txt test-data/cluster_result02.txt test-data/cluster_result03.txt test-data/cluster_result04.txt test-data/cluster_result05.txt test-data/cluster_result06.txt test-data/cluster_result07.txt test-data/cluster_result08.txt test-data/cluster_result09.txt test-data/cluster_result10.txt test-data/cluster_result11.txt test-data/cluster_result12.txt test-data/cluster_result13.txt test-data/cluster_result14.txt test-data/cluster_result15.txt test-data/cluster_result16.txt test-data/numeric_values.tabular tool_dependencies.xml |
| diffstat | 21 files changed, 2022 insertions(+), 0 deletions(-) [+] |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/Untitled.ipynb Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,744 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=8, n_init=10,\n", + " n_jobs=1, precompute_distances='auto', random_state=None, tol=0.0001,\n", + " verbose=0)" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import sys\n", + "import json\n", + "import numpy as np\n", + "import sklearn.cluster\n", + "import pandas\n", + "\n", + "data = pandas.read_csv(\"/home/bag/projects/code/galaxytools/tools/numeric_clustering/test-data/numeric_values.tabular\", sep='\\t', header=0, index_col=None, parse_dates=True, encoding=None )\n", + "my_class = getattr(sklearn.cluster, \"KMeans\")\n", + "cluster_object = my_class()\n", + "\n", + "params = dict()\n", + "cluster_object.set_params(**params)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 3 3 3 3 3 3 3 3 3 3 1 1 1 1 1 1 1 1 1 1 1 1\n", + " 2 2 2 2 2 2 2 2 2 2 2] 48 48\n", + " 0\n", + "0 0\n", + "1 0\n", + "2 0\n", + "3 0\n", + "4 0\n", + "5 0\n", + "6 0\n", + "7 0\n", + "8 0\n", + "9 0\n", + "10 0\n", + "11 0\n", + "12 3\n", + "13 3\n", + "14 3\n", + "15 3\n", + "16 3\n", + "17 3\n", + "18 3\n", + "19 3\n", + "20 3\n", + "21 3\n", + "22 3\n", + "23 3\n", + "24 3\n", + "25 1\n", + "26 1\n", + "27 1\n", + "28 1\n", + "29 1\n", + "30 1\n", + "31 1\n", + "32 1\n", + "33 1\n", + "34 1\n", + "35 1\n", + "36 1\n", + "37 2\n", + "38 2\n", + "39 2\n", + "40 2\n", + "41 2\n", + "42 2\n", + "43 2\n", + "44 2\n", + "45 2\n", + "46 2\n", + "47 2\n" + ] + } + ], + "source": [ + "\n", + "if 4 >= 4:\n", + " data_matrix = 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NaN NaN\n", + "47 2 NaN NaN NaN NaN\n", + "\n", + "[96 rows x 5 columns]" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pandas.concat([data, pred], axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +}
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/numeric_clustering.xml Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,390 @@ +<tool id="numeric_clustering" name="Numeric Clustering" version="@VERSION@"> + <description></description> + <requirements> + <requirement type="package" version="2.3.0">anaconda</requirement> + </requirements> + <stdio> + <exit_code level="fatal" range="1:"/> + </stdio> + <macros> + <token name="@VERSION@">0.9</token> + <macro name="n_clusters" token_default_value="8"> + <param name="n_clusters" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of clusters" + help="default value is @DEFAULT_VALUE@ (--n_clusters)"/> + </macro> + <macro name="n_init"> + <param name="n_init" type="integer" optional="true" value="" label="Number of runs with different centroid seeds"/> + </macro> + <macro name="max_iter"> + <param name="max_iter" type="integer" optional="true" value="" label="Maximum number of iterations per single run"/> + </macro> + <macro name="random_state"> + <param name="random_state" type="integer" optional="true" value="" label="Initialize centers"/> + </macro> + <macro name="affinity"> + <param name="affinity" type="text" optional="true" value="" label="Affinity"/> + </macro> + <macro name="tol"> + <param name="tol" type="float" optional="true" value="" label="Relative tolerance"/> + </macro> + <macro name="init"> + <param name="init" type="select" label="Select initialization method"> + <option value="k-means++">k-means++</option> + <option value="random">random</option> + </param> + </macro> + </macros> + <version_command>echo "@VERSION@"</version_command> + <command><![CDATA[ + cat "$cluster_script" >&2 + && + #import json + #set $params = dict() + #for $key, $value in $algorithm_options.items(): + #if not $key.startswith('__') and $key.strip() != 'selected_algorithm' and str($value).strip(): + #if str($value).strip() == 'false': + #set $value = False + #elif str($value).strip() == 'true': + #set $value = True + #else: + #try: + #set $val = float($value) + #try: + #set $value = int($value) + #except: + #set $value = float($value) + #end try + #except: + #set $value = str($value) + #end try + #end if + $params.update({str($key): $value}) + #end if + #end for + #set $json_string = json.dumps( $params ) + + python "$cluster_script" '$json_string' + +]]> + </command> + <configfiles> + <configfile name="cluster_script"> +<![CDATA[ +import sys +import json +import numpy as np +import sklearn.cluster +import pandas + +data = pandas.read_csv("$infile", sep='\t', header=0, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False ) +my_class = getattr(sklearn.cluster, "$algorithm_options.selected_algorithm") +cluster_object = my_class() + +params = json.loads( sys.argv[1] ) +cluster_object.set_params(**params) +#if $end_column and $start_column: + +if $end_column >= $start_column: + data_matrix = data.values[:, $start_column-1:$end_column] +else: + data_matrix = data.values + +#else: +data_matrix = data.values +#end if +prediction = cluster_object.fit_predict( data_matrix ) +prediction_df = pandas.DataFrame(prediction) +res = pandas.concat([data, prediction_df], axis=1) +res.to_csv(path_or_buf = "$outfile", sep="\t", index=False) +]]> + </configfile> + </configfiles> + <inputs> + <param name="infile" type="data" format="tabular" label="Data file with numeric values" /> + <param name="start_column" type="data_column" data_ref="infile" optional="True" label="Clustering column from" /> + <param name="end_column" type="data_column" data_ref="infile" optional="True" label="to" /> + <conditional name="algorithm_options"> + <param name="selected_algorithm" type="select" label="Clustering Algorithm"> + <option value="KMeans">KMeans</option> + <option value="DBSCAN">DBSCAN</option> + <option value="Birch">Birch</option> + <option value="MeanShift">MeanShift</option> + <option value="AffinityPropagation">Affinity Propagation</option> + <option value="AgglomerativeClustering">Agglomerative Clustering</option> + <option value="SpectralClustering">Spectral Clustering</option> + <option value="MiniBatchKMeans">Mini Batch KMeans</option> + </param> + <when value="KMeans"> + <expand macro="n_clusters" default_label="8"/> + <expand macro="init"/> + <expand macro="n_init"/> + <expand macro="max_iter"/> + <expand macro="tol"/> + <param name="precompute_distances" type="text" optional="true" value="" label="Precompute distances"/> + <expand macro="random_state"/> + <param name="copy_x" type="boolean" optional="true" truevalue="--copy_x" falsevale="" label="Do not modify original data"/> + </when> + <when value="DBSCAN"> + <param name="eps" type="float" optional="true" value="0.5" label="Maximum neghborhood distance"/> + <param name="min_samples" type="integer" optional="true" value="5" label="Core point minimum population"/> + <param name="metric" type="text" optional="true" value="euclidean" label="Metric"/> + <param name="algorithm" type="select" optional="true" value="auto" label="Pointwise distance algorithm"> + <option value="auto">auto</option> + <option value="ball_tree">ball_tree</option> + <option value="kd_tree">kd_tree</option> + <option value="brute">brute</option> + </param> + <param name="leaf_size" type="integer" optional="true" value="30" label="Leaf size"/> + </when> + <when value="Birch"> + <param name="threshold" type="float" optional="true" value="0.5" label="Subcluster radius threshold"/> + <param name="branching_factor" type="integer" optional="true" value="50" label="Maximum number of subclusters per branch"/> + <expand macro="n_clusters" default_label="3" /> <!-- default to 3--> + <!--param name="compute_labels" type="boolean" optional="true" truevalue="true" falsevale="false" label="Compute labels for each fit"/--> + </when> + <when value="AffinityPropagation"> + <param name="damping" type="float" optional="true" value="0.5" label="Damping factor"/> + <expand macro="max_iter"/> <!--default to 200 --> + <param name="convergence_iter" type="integer" optional="true" value="15" label="Number of iterations at each convergence step"/> + <param name="copy" type="boolean" optional="true" truevalue="true" falsevale="false" label="Make a copy of input data"/> + <!--param name="preference" type="text" optional="true" value="None" label="Array like shape (n_samples,)"/--> + <expand macro="affinity"/> <!--default = euclidean--> + </when> + <when value="MeanShift"> + <param name="bandwidth" type="float" optional="true" value="" label="RBF kernel bandwidth"/> + <!--param name="seeds" type="list" optional="true" value="None" label=""/--> + <param name="bin_seeding" type="boolean" optional="true" truevalue="true" falsevale="false" label="Discretize initial kernel locations"/> + <param name="min_bin_freq" type="integer" optional="true" value="1" label="Minimum number of seeds per bin"/> + <param name="cluster_all" type="boolean" optional="true" truevalue="true" falsevale="false" label="Cluster all"/> + </when> + <when value="AgglomerativeClustering"> + <expand macro="n_clusters" default_label="2" /> <!-- deafault 2--> + <expand macro="affinity"/> <!--default = euclidean--> + <!--param name="memory" type="callable" optional="true" value="Memory(cachedir=None)" label="Caching path"/--> + <!--param name="connectivity" type="list array-like or callable" optional="true" value="None" label="Connectivity matrix"/--> + <param name="n_components" type="integer" optional="true" value="" label="Number of connected components"/> + <!--param name="compute_full_tree" type="text or boolean" optional="true" value="auto" label=""/--> + <param name="linkage" type="select" optional="true" value="ward" label="Linkage"> + <option value="ward">ward</option> + <option value="complete">complete</option> + <option value="average">average</option> + </param> + <!--param name="pooling_func" type="callable" optional="np.mean" value="None" label=""/--> + </when> + <when value="SpectralClustering"> + <expand macro="n_clusters" default_label="8" /> + <param name="eigen_solver" type="select" value="arpack" label="Eigenvalue decomposition strategy"> + <option value="arpack">arpack</option> + <option value="lobpcg">lobpcg</option> + <option value="amg">amg</option> + </param> + <expand macro="random_state"/> + <!-- Todo: extend random_state type to int seed, RandomState instance, or None. --> + <expand macro="n_init"/> <!-- default to 10--> + <param name="gamma" type="float" optional="true" value="1.0" label="Kernel scaling factor"/> + <expand macro="affinity"/> <!--default =rbf--> + <param name="n_neighbors" type="integer" optional="true" value="10" label="Number of neighbors"/> + <!--param name="eigen_tol" type="float" optional="true" value="0.0" label="arpack eigendecomposition stopping threshold"/--> + <param name="assign_labels" type="select" optional="true" value="kmeans" label="Assign labels"> + <option value="kmeans">kmeans</option> + <option value="discretize">discretize</option> + </param> + <param name="degree" type="integer" optional="true" value="3" label="Degree of the polynomial (polynomial kernel only)"/> + <param name="coef0" type="integer" optional="true" value="1" label="Zero coefficient (polynomial and sigmoid kernels only)"/> + <!--param name="kernel_params" type="dict" optional="true" value="None" label=""/--> + </when> + <when value="MiniBatchKMeans"> + <expand macro="n_clusters" default_label="8"/> + <expand macro="init"/> + <expand macro="n_init"/> <!-- default to 3--> + <expand macro="max_iter"/> <!--default to 100--> + <expand macro="tol"/> <!--default = 0.0--> + <expand macro="random_state"/> + <param name="batch_size" type="integer" optional="true" value="100" label="Mini batch size"/> + <!--param name="compute_labels" type="boolean" optional="true" truevalue="true" falsevale="false" label="Compute labels for all data"/--> + <param name="max_no_improvement" type="integer" optional="true" value="10" label="Maximum number of improvement attempts"/> + <param name="init_size" type="integer" optional="true" value="" label="Number of random init samples"/> + <param name="reassignment_ratio" type="float" optional="true" value="0.01" label="Re-assignment ratio"/> + </when> + </conditional> + </inputs> + <outputs> + <data format_source="infile" name="outfile"/> + </outputs> + <tests> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="KMeans"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="n_clusters" value="4" /> + <param name="init" value="k-means++" /> + <param name="random_state" value="100"/> + <output name="outfile" file="cluster_result01.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="KMeans"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="n_clusters" value="4" /> + <param name="init" value="random" /> + <param name="random_state" value="100"/> + <output name="outfile" file="cluster_result02.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="DBSCAN"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="algorithm" value="kd_tree"/> + <param name="leaf_size" value="10"/> + <param name="eps" value="1.0"/> + <output name="outfile" file="cluster_result03.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="Birch"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="n_clusters" value="4"/> + <param name="threshold" value="0.008"/> + <output name="outfile" file="cluster_result04.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="Birch"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="branching_factor" value="20"/> + <output name="outfile" file="cluster_result05.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="AffinityPropagation"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="affinity" value="euclidean"/> + <param name="copy" value="false"/> + <output name="outfile" file="cluster_result06.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="AffinityPropagation"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="damping" value="0.8"/> + <output name="outfile" file="cluster_result07.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="MeanShift"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="min_bin_freq" value="3"/> + <output name="outfile" file="cluster_result08.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="MeanShift"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="cluster_all" value="False"/> + <output name="outfile" file="cluster_result09.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="AgglomerativeClustering"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="affinity" value="euclidean"/> + <param name="linkage" value="average"/> + <param name="n_clusters" value="4"/> + <output name="outfile" file="cluster_result10.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="AgglomerativeClustering"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="linkage" value="complete"/> + <param name="n_clusters" value="4"/> + <output name="outfile" file="cluster_result11.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="SpectralClustering"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="eigen_solver" value="arpack"/> + <param name="n_neighbors" value="12"/> + <param name="n_clusters" value="4"/> + <param name="assign_labels" value="discretize"/> + <param name="random_state" value="100"/> + <output name="outfile" file="cluster_result12.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="SpectralClustering"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="assign_labels" value="discretize"/> + <param name="random_state" value="100"/> + <param name="degree" value="2"/> + <output name="outfile" file="cluster_result13.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="MiniBatchKMeans"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="tol" value="0.5"/> + <param name="random_state" value="100"/> + <output name="outfile" file="cluster_result14.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="MiniBatchKMeans"/> + <param name="n_init" value="5"/> + <param name="start_column" value="2" /> + <param name="end_column" value="4" /> + <param name="batch_size" value="10"/> + <param name="n_clusters" value="4"/> + <param name="random_state" value="100"/> + <param name="reassignment_ratio" value="1.0"/> + <output name="outfile" file="cluster_result15.txt"/> + </test> + <test> + <param name="infile" value="numeric_values.tabular" ftype="tabular"/> + <param name="selected_algorithm" value="KMeans"/> + <param name="start_column" value="1" /> + <param name="end_column" value="1" /> + <param name="n_clusters" value="4" /> + <param name="random_state" value="100"/> + <output name="outfile" file="cluster_result16.txt"/> + </test> + </tests> + <help><![CDATA[ +**What it does** + +This clustering tool offers different clustering algorithms which are provided by +scikit-learn to find similarities among samples and cluster the samples based on these similarities. + + ]]></help> + <citations> + <citation type="bibtex"> + @article{scikit-learn, + title={Scikit-learn: Machine Learning in {P}ython}, + author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. + and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. + and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and + Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.}, + journal={Journal of Machine Learning Research}, + volume={12}, + pages={2825--2830}, + year={2011} + url = {https://github.com/scikit-learn/scikit-learn} + } + </citation> + </citations> +</tool>
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result01.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 0 +0 51 48 -73 0 +0 58 65 -49 0 +0 43 61 -49 0 +0 45 43 -79 0 +0 42 60 -98 0 +0 50 55 -59 0 +0 53 53 -56 0 +0 45 44 -61 0 +0 43 65 -84 0 +0 35 52 -75 0 +0 56 56 -70 0 +1 -61 86 43 2 +1 -67 93 15 2 +1 -59 94 36 2 +1 -50 92 62 2 +1 -78 91 70 2 +1 -35 87 47 2 +1 -56 91 52 2 +1 -61 81 46 2 +1 -83 78 34 2 +1 -50 87 45 2 +1 -67 73 50 2 +1 -50 97 45 2 +1 -61 111 45 2 +2 -109 23 -92 1 +2 -94 20 -96 1 +2 -85 26 -88 1 +2 -90 33 -114 1 +2 -63 9 -106 1 +2 -79 9 -93 1 +2 -99 26 -108 1 +2 -81 19 -110 1 +2 -108 21 -108 1 +2 -92 27 -106 1 +2 -88 2 -106 1 +2 -88 15 -103 1 +3 54 -74 4 3 +3 42 -92 31 3 +3 39 -99 -7 3 +3 48 -115 -5 3 +3 39 -96 2 3 +3 31 -109 9 3 +3 33 -96 -8 3 +3 23 -102 4 3 +3 38 -90 21 3 +3 34 -107 1 3 +3 35 -78 18 3
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result02.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 3 +0 51 48 -73 3 +0 58 65 -49 3 +0 43 61 -49 3 +0 45 43 -79 3 +0 42 60 -98 3 +0 50 55 -59 3 +0 53 53 -56 3 +0 45 44 -61 3 +0 43 65 -84 3 +0 35 52 -75 3 +0 56 56 -70 3 +1 -61 86 43 2 +1 -67 93 15 2 +1 -59 94 36 2 +1 -50 92 62 2 +1 -78 91 70 2 +1 -35 87 47 2 +1 -56 91 52 2 +1 -61 81 46 2 +1 -83 78 34 2 +1 -50 87 45 2 +1 -67 73 50 2 +1 -50 97 45 2 +1 -61 111 45 2 +2 -109 23 -92 0 +2 -94 20 -96 0 +2 -85 26 -88 0 +2 -90 33 -114 0 +2 -63 9 -106 0 +2 -79 9 -93 0 +2 -99 26 -108 0 +2 -81 19 -110 0 +2 -108 21 -108 0 +2 -92 27 -106 0 +2 -88 2 -106 0 +2 -88 15 -103 0 +3 54 -74 4 1 +3 42 -92 31 1 +3 39 -99 -7 1 +3 48 -115 -5 1 +3 39 -96 2 1 +3 31 -109 9 1 +3 33 -96 -8 1 +3 23 -102 4 1 +3 38 -90 21 1 +3 34 -107 1 1 +3 35 -78 18 1
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result03.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 -1 +0 51 48 -73 -1 +0 58 65 -49 -1 +0 43 61 -49 -1 +0 45 43 -79 -1 +0 42 60 -98 -1 +0 50 55 -59 -1 +0 53 53 -56 -1 +0 45 44 -61 -1 +0 43 65 -84 -1 +0 35 52 -75 -1 +0 56 56 -70 -1 +1 -61 86 43 -1 +1 -67 93 15 -1 +1 -59 94 36 -1 +1 -50 92 62 -1 +1 -78 91 70 -1 +1 -35 87 47 -1 +1 -56 91 52 -1 +1 -61 81 46 -1 +1 -83 78 34 -1 +1 -50 87 45 -1 +1 -67 73 50 -1 +1 -50 97 45 -1 +1 -61 111 45 -1 +2 -109 23 -92 -1 +2 -94 20 -96 -1 +2 -85 26 -88 -1 +2 -90 33 -114 -1 +2 -63 9 -106 -1 +2 -79 9 -93 -1 +2 -99 26 -108 -1 +2 -81 19 -110 -1 +2 -108 21 -108 -1 +2 -92 27 -106 -1 +2 -88 2 -106 -1 +2 -88 15 -103 -1 +3 54 -74 4 -1 +3 42 -92 31 -1 +3 39 -99 -7 -1 +3 48 -115 -5 -1 +3 39 -96 2 -1 +3 31 -109 9 -1 +3 33 -96 -8 -1 +3 23 -102 4 -1 +3 38 -90 21 -1 +3 34 -107 1 -1 +3 35 -78 18 -1
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result04.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 1 +0 51 48 -73 1 +0 58 65 -49 1 +0 43 61 -49 1 +0 45 43 -79 1 +0 42 60 -98 1 +0 50 55 -59 1 +0 53 53 -56 1 +0 45 44 -61 1 +0 43 65 -84 1 +0 35 52 -75 1 +0 56 56 -70 1 +1 -61 86 43 2 +1 -67 93 15 2 +1 -59 94 36 2 +1 -50 92 62 2 +1 -78 91 70 2 +1 -35 87 47 2 +1 -56 91 52 2 +1 -61 81 46 2 +1 -83 78 34 2 +1 -50 87 45 2 +1 -67 73 50 2 +1 -50 97 45 2 +1 -61 111 45 2 +2 -109 23 -92 3 +2 -94 20 -96 3 +2 -85 26 -88 3 +2 -90 33 -114 3 +2 -63 9 -106 3 +2 -79 9 -93 3 +2 -99 26 -108 3 +2 -81 19 -110 3 +2 -108 21 -108 3 +2 -92 27 -106 3 +2 -88 2 -106 3 +2 -88 15 -103 3 +3 54 -74 4 0 +3 42 -92 31 0 +3 39 -99 -7 0 +3 48 -115 -5 0 +3 39 -96 2 0 +3 31 -109 9 0 +3 33 -96 -8 0 +3 23 -102 4 0 +3 38 -90 21 0 +3 34 -107 1 0 +3 35 -78 18 0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result05.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 2 +0 51 48 -73 2 +0 58 65 -49 5 +0 43 61 -49 5 +0 45 43 -79 2 +0 42 60 -98 2 +0 50 55 -59 5 +0 53 53 -56 5 +0 45 44 -61 5 +0 43 65 -84 2 +0 35 52 -75 2 +0 56 56 -70 2 +1 -61 86 43 0 +1 -67 93 15 0 +1 -59 94 36 6 +1 -50 92 62 6 +1 -78 91 70 0 +1 -35 87 47 6 +1 -56 91 52 6 +1 -61 81 46 0 +1 -83 78 34 0 +1 -50 87 45 6 +1 -67 73 50 0 +1 -50 97 45 6 +1 -61 111 45 6 +2 -109 23 -92 7 +2 -94 20 -96 3 +2 -85 26 -88 3 +2 -90 33 -114 7 +2 -63 9 -106 3 +2 -79 9 -93 3 +2 -99 26 -108 7 +2 -81 19 -110 3 +2 -108 21 -108 7 +2 -92 27 -106 7 +2 -88 2 -106 3 +2 -88 15 -103 3 +3 54 -74 4 1 +3 42 -92 31 1 +3 39 -99 -7 4 +3 48 -115 -5 4 +3 39 -96 2 4 +3 31 -109 9 4 +3 33 -96 -8 4 +3 23 -102 4 4 +3 38 -90 21 1 +3 34 -107 1 4 +3 35 -78 18 1
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result06.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 0 +0 51 48 -73 0 +0 58 65 -49 0 +0 43 61 -49 0 +0 45 43 -79 0 +0 42 60 -98 0 +0 50 55 -59 0 +0 53 53 -56 0 +0 45 44 -61 0 +0 43 65 -84 0 +0 35 52 -75 0 +0 56 56 -70 0 +1 -61 86 43 1 +1 -67 93 15 1 +1 -59 94 36 1 +1 -50 92 62 1 +1 -78 91 70 1 +1 -35 87 47 1 +1 -56 91 52 1 +1 -61 81 46 1 +1 -83 78 34 1 +1 -50 87 45 1 +1 -67 73 50 1 +1 -50 97 45 1 +1 -61 111 45 1 +2 -109 23 -92 2 +2 -94 20 -96 2 +2 -85 26 -88 2 +2 -90 33 -114 2 +2 -63 9 -106 2 +2 -79 9 -93 2 +2 -99 26 -108 2 +2 -81 19 -110 2 +2 -108 21 -108 2 +2 -92 27 -106 2 +2 -88 2 -106 2 +2 -88 15 -103 2 +3 54 -74 4 3 +3 42 -92 31 3 +3 39 -99 -7 3 +3 48 -115 -5 3 +3 39 -96 2 3 +3 31 -109 9 3 +3 33 -96 -8 3 +3 23 -102 4 3 +3 38 -90 21 3 +3 34 -107 1 3 +3 35 -78 18 3
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result07.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 0 +0 51 48 -73 0 +0 58 65 -49 0 +0 43 61 -49 0 +0 45 43 -79 0 +0 42 60 -98 0 +0 50 55 -59 0 +0 53 53 -56 0 +0 45 44 -61 0 +0 43 65 -84 0 +0 35 52 -75 0 +0 56 56 -70 0 +1 -61 86 43 1 +1 -67 93 15 1 +1 -59 94 36 1 +1 -50 92 62 1 +1 -78 91 70 1 +1 -35 87 47 1 +1 -56 91 52 1 +1 -61 81 46 1 +1 -83 78 34 1 +1 -50 87 45 1 +1 -67 73 50 1 +1 -50 97 45 1 +1 -61 111 45 1 +2 -109 23 -92 2 +2 -94 20 -96 2 +2 -85 26 -88 2 +2 -90 33 -114 2 +2 -63 9 -106 2 +2 -79 9 -93 2 +2 -99 26 -108 2 +2 -81 19 -110 2 +2 -108 21 -108 2 +2 -92 27 -106 2 +2 -88 2 -106 2 +2 -88 15 -103 2 +3 54 -74 4 3 +3 42 -92 31 3 +3 39 -99 -7 3 +3 48 -115 -5 3 +3 39 -96 2 3 +3 31 -109 9 3 +3 33 -96 -8 3 +3 23 -102 4 3 +3 38 -90 21 3 +3 34 -107 1 3 +3 35 -78 18 3
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result08.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 0 +0 51 48 -73 0 +0 58 65 -49 0 +0 43 61 -49 0 +0 45 43 -79 0 +0 42 60 -98 0 +0 50 55 -59 0 +0 53 53 -56 0 +0 45 44 -61 0 +0 43 65 -84 0 +0 35 52 -75 0 +0 56 56 -70 0 +1 -61 86 43 0 +1 -67 93 15 0 +1 -59 94 36 0 +1 -50 92 62 0 +1 -78 91 70 0 +1 -35 87 47 0 +1 -56 91 52 0 +1 -61 81 46 0 +1 -83 78 34 0 +1 -50 87 45 0 +1 -67 73 50 0 +1 -50 97 45 0 +1 -61 111 45 0 +2 -109 23 -92 0 +2 -94 20 -96 0 +2 -85 26 -88 0 +2 -90 33 -114 0 +2 -63 9 -106 0 +2 -79 9 -93 0 +2 -99 26 -108 0 +2 -81 19 -110 0 +2 -108 21 -108 0 +2 -92 27 -106 0 +2 -88 2 -106 0 +2 -88 15 -103 0 +3 54 -74 4 1 +3 42 -92 31 1 +3 39 -99 -7 1 +3 48 -115 -5 1 +3 39 -96 2 1 +3 31 -109 9 1 +3 33 -96 -8 1 +3 23 -102 4 1 +3 38 -90 21 1 +3 34 -107 1 1 +3 35 -78 18 1
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result09.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 0 +0 51 48 -73 0 +0 58 65 -49 0 +0 43 61 -49 0 +0 45 43 -79 0 +0 42 60 -98 0 +0 50 55 -59 0 +0 53 53 -56 0 +0 45 44 -61 0 +0 43 65 -84 0 +0 35 52 -75 0 +0 56 56 -70 0 +1 -61 86 43 0 +1 -67 93 15 0 +1 -59 94 36 0 +1 -50 92 62 0 +1 -78 91 70 0 +1 -35 87 47 0 +1 -56 91 52 0 +1 -61 81 46 0 +1 -83 78 34 0 +1 -50 87 45 0 +1 -67 73 50 0 +1 -50 97 45 0 +1 -61 111 45 0 +2 -109 23 -92 0 +2 -94 20 -96 0 +2 -85 26 -88 0 +2 -90 33 -114 0 +2 -63 9 -106 0 +2 -79 9 -93 0 +2 -99 26 -108 0 +2 -81 19 -110 0 +2 -108 21 -108 0 +2 -92 27 -106 0 +2 -88 2 -106 0 +2 -88 15 -103 0 +3 54 -74 4 1 +3 42 -92 31 1 +3 39 -99 -7 1 +3 48 -115 -5 1 +3 39 -96 2 1 +3 31 -109 9 1 +3 33 -96 -8 1 +3 23 -102 4 1 +3 38 -90 21 1 +3 34 -107 1 1 +3 35 -78 18 1
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result10.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 3 +0 51 48 -73 3 +0 58 65 -49 3 +0 43 61 -49 3 +0 45 43 -79 3 +0 42 60 -98 3 +0 50 55 -59 3 +0 53 53 -56 3 +0 45 44 -61 3 +0 43 65 -84 3 +0 35 52 -75 3 +0 56 56 -70 3 +1 -61 86 43 0 +1 -67 93 15 0 +1 -59 94 36 0 +1 -50 92 62 0 +1 -78 91 70 0 +1 -35 87 47 0 +1 -56 91 52 0 +1 -61 81 46 0 +1 -83 78 34 0 +1 -50 87 45 0 +1 -67 73 50 0 +1 -50 97 45 0 +1 -61 111 45 0 +2 -109 23 -92 2 +2 -94 20 -96 2 +2 -85 26 -88 2 +2 -90 33 -114 2 +2 -63 9 -106 2 +2 -79 9 -93 2 +2 -99 26 -108 2 +2 -81 19 -110 2 +2 -108 21 -108 2 +2 -92 27 -106 2 +2 -88 2 -106 2 +2 -88 15 -103 2 +3 54 -74 4 1 +3 42 -92 31 1 +3 39 -99 -7 1 +3 48 -115 -5 1 +3 39 -96 2 1 +3 31 -109 9 1 +3 33 -96 -8 1 +3 23 -102 4 1 +3 38 -90 21 1 +3 34 -107 1 1 +3 35 -78 18 1
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result11.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 2 +0 51 48 -73 2 +0 58 65 -49 2 +0 43 61 -49 2 +0 45 43 -79 2 +0 42 60 -98 2 +0 50 55 -59 2 +0 53 53 -56 2 +0 45 44 -61 2 +0 43 65 -84 2 +0 35 52 -75 2 +0 56 56 -70 2 +1 -61 86 43 0 +1 -67 93 15 0 +1 -59 94 36 0 +1 -50 92 62 0 +1 -78 91 70 0 +1 -35 87 47 0 +1 -56 91 52 0 +1 -61 81 46 0 +1 -83 78 34 0 +1 -50 87 45 0 +1 -67 73 50 0 +1 -50 97 45 0 +1 -61 111 45 0 +2 -109 23 -92 1 +2 -94 20 -96 1 +2 -85 26 -88 1 +2 -90 33 -114 1 +2 -63 9 -106 1 +2 -79 9 -93 1 +2 -99 26 -108 1 +2 -81 19 -110 1 +2 -108 21 -108 1 +2 -92 27 -106 1 +2 -88 2 -106 1 +2 -88 15 -103 1 +3 54 -74 4 3 +3 42 -92 31 3 +3 39 -99 -7 3 +3 48 -115 -5 3 +3 39 -96 2 3 +3 31 -109 9 3 +3 33 -96 -8 3 +3 23 -102 4 3 +3 38 -90 21 3 +3 34 -107 1 3 +3 35 -78 18 3
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result12.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 3 +0 51 48 -73 2 +0 58 65 -49 2 +0 43 61 -49 2 +0 45 43 -79 2 +0 42 60 -98 2 +0 50 55 -59 2 +0 53 53 -56 2 +0 45 44 -61 0 +0 43 65 -84 3 +0 35 52 -75 0 +0 56 56 -70 2 +1 -61 86 43 1 +1 -67 93 15 2 +1 -59 94 36 2 +1 -50 92 62 2 +1 -78 91 70 2 +1 -35 87 47 2 +1 -56 91 52 2 +1 -61 81 46 1 +1 -83 78 34 2 +1 -50 87 45 2 +1 -67 73 50 2 +1 -50 97 45 2 +1 -61 111 45 2 +2 -109 23 -92 0 +2 -94 20 -96 1 +2 -85 26 -88 2 +2 -90 33 -114 1 +2 -63 9 -106 0 +2 -79 9 -93 2 +2 -99 26 -108 1 +2 -81 19 -110 1 +2 -108 21 -108 1 +2 -92 27 -106 1 +2 -88 2 -106 0 +2 -88 15 -103 1 +3 54 -74 4 2 +3 42 -92 31 1 +3 39 -99 -7 1 +3 48 -115 -5 0 +3 39 -96 2 1 +3 31 -109 9 1 +3 33 -96 -8 1 +3 23 -102 4 0 +3 38 -90 21 1 +3 34 -107 1 1 +3 35 -78 18 1
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result13.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 6 +0 51 48 -73 2 +0 58 65 -49 7 +0 43 61 -49 7 +0 45 43 -79 2 +0 42 60 -98 7 +0 50 55 -59 6 +0 53 53 -56 6 +0 45 44 -61 0 +0 43 65 -84 6 +0 35 52 -75 0 +0 56 56 -70 2 +1 -61 86 43 3 +1 -67 93 15 7 +1 -59 94 36 7 +1 -50 92 62 7 +1 -78 91 70 7 +1 -35 87 47 7 +1 -56 91 52 7 +1 -61 81 46 3 +1 -83 78 34 7 +1 -50 87 45 7 +1 -67 73 50 7 +1 -50 97 45 7 +1 -61 111 45 7 +2 -109 23 -92 0 +2 -94 20 -96 5 +2 -85 26 -88 7 +2 -90 33 -114 6 +2 -63 9 -106 0 +2 -79 9 -93 7 +2 -99 26 -108 6 +2 -81 19 -110 5 +2 -108 21 -108 6 +2 -92 27 -106 6 +2 -88 2 -106 0 +2 -88 15 -103 5 +3 54 -74 4 7 +3 42 -92 31 4 +3 39 -99 -7 3 +3 48 -115 -5 0 +3 39 -96 2 3 +3 31 -109 9 1 +3 33 -96 -8 3 +3 23 -102 4 0 +3 38 -90 21 4 +3 34 -107 1 1 +3 35 -78 18 4
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result14.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 2 +0 51 48 -73 2 +0 58 65 -49 5 +0 43 61 -49 5 +0 45 43 -79 2 +0 42 60 -98 2 +0 50 55 -59 5 +0 53 53 -56 5 +0 45 44 -61 2 +0 43 65 -84 2 +0 35 52 -75 2 +0 56 56 -70 2 +1 -61 86 43 1 +1 -67 93 15 1 +1 -59 94 36 1 +1 -50 92 62 1 +1 -78 91 70 7 +1 -35 87 47 1 +1 -56 91 52 1 +1 -61 81 46 7 +1 -83 78 34 7 +1 -50 87 45 1 +1 -67 73 50 7 +1 -50 97 45 1 +1 -61 111 45 1 +2 -109 23 -92 6 +2 -94 20 -96 6 +2 -85 26 -88 6 +2 -90 33 -114 6 +2 -63 9 -106 3 +2 -79 9 -93 3 +2 -99 26 -108 6 +2 -81 19 -110 6 +2 -108 21 -108 6 +2 -92 27 -106 6 +2 -88 2 -106 3 +2 -88 15 -103 6 +3 54 -74 4 4 +3 42 -92 31 4 +3 39 -99 -7 0 +3 48 -115 -5 0 +3 39 -96 2 0 +3 31 -109 9 0 +3 33 -96 -8 0 +3 23 -102 4 0 +3 38 -90 21 4 +3 34 -107 1 0 +3 35 -78 18 4
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result15.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 1 +0 51 48 -73 1 +0 58 65 -49 1 +0 43 61 -49 1 +0 45 43 -79 1 +0 42 60 -98 1 +0 50 55 -59 1 +0 53 53 -56 1 +0 45 44 -61 1 +0 43 65 -84 1 +0 35 52 -75 1 +0 56 56 -70 1 +1 -61 86 43 2 +1 -67 93 15 2 +1 -59 94 36 2 +1 -50 92 62 2 +1 -78 91 70 2 +1 -35 87 47 2 +1 -56 91 52 2 +1 -61 81 46 2 +1 -83 78 34 2 +1 -50 87 45 2 +1 -67 73 50 2 +1 -50 97 45 2 +1 -61 111 45 2 +2 -109 23 -92 3 +2 -94 20 -96 3 +2 -85 26 -88 3 +2 -90 33 -114 3 +2 -63 9 -106 3 +2 -79 9 -93 3 +2 -99 26 -108 3 +2 -81 19 -110 3 +2 -108 21 -108 3 +2 -92 27 -106 3 +2 -88 2 -106 3 +2 -88 15 -103 3 +3 54 -74 4 0 +3 42 -92 31 0 +3 39 -99 -7 0 +3 48 -115 -5 0 +3 39 -96 2 0 +3 31 -109 9 0 +3 33 -96 -8 0 +3 23 -102 4 0 +3 38 -90 21 0 +3 34 -107 1 0 +3 35 -78 18 0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result16.txt Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 0 +0 51 48 -73 0 +0 58 65 -49 0 +0 43 61 -49 0 +0 45 43 -79 0 +0 42 60 -98 0 +0 50 55 -59 0 +0 53 53 -56 0 +0 45 44 -61 0 +0 43 65 -84 0 +0 35 52 -75 0 +0 56 56 -70 0 +1 -61 86 43 2 +1 -67 93 15 2 +1 -59 94 36 2 +1 -50 92 62 2 +1 -78 91 70 2 +1 -35 87 47 2 +1 -56 91 52 2 +1 -61 81 46 2 +1 -83 78 34 2 +1 -50 87 45 2 +1 -67 73 50 2 +1 -50 97 45 2 +1 -61 111 45 2 +2 -109 23 -92 3 +2 -94 20 -96 3 +2 -85 26 -88 3 +2 -90 33 -114 3 +2 -63 9 -106 3 +2 -79 9 -93 3 +2 -99 26 -108 3 +2 -81 19 -110 3 +2 -108 21 -108 3 +2 -92 27 -106 3 +2 -88 2 -106 3 +2 -88 15 -103 3 +3 54 -74 4 1 +3 42 -92 31 1 +3 39 -99 -7 1 +3 48 -115 -5 1 +3 39 -96 2 1 +3 31 -109 9 1 +3 33 -96 -8 1 +3 23 -102 4 1 +3 38 -90 21 1 +3 34 -107 1 1 +3 35 -78 18 1
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/numeric_values.tabular Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,49 @@ +0 58 56 -67 +0 44 64 -76 +0 51 48 -73 +0 58 65 -49 +0 43 61 -49 +0 45 43 -79 +0 42 60 -98 +0 50 55 -59 +0 53 53 -56 +0 45 44 -61 +0 43 65 -84 +0 35 52 -75 +0 56 56 -70 +1 -61 86 43 +1 -67 93 15 +1 -59 94 36 +1 -50 92 62 +1 -78 91 70 +1 -35 87 47 +1 -56 91 52 +1 -61 81 46 +1 -83 78 34 +1 -50 87 45 +1 -67 73 50 +1 -50 97 45 +1 -61 111 45 +2 -109 23 -92 +2 -94 20 -96 +2 -85 26 -88 +2 -90 33 -114 +2 -63 9 -106 +2 -79 9 -93 +2 -99 26 -108 +2 -81 19 -110 +2 -108 21 -108 +2 -92 27 -106 +2 -88 2 -106 +2 -88 15 -103 +3 54 -74 4 +3 42 -92 31 +3 39 -99 -7 +3 48 -115 -5 +3 39 -96 2 +3 31 -109 9 +3 33 -96 -8 +3 23 -102 4 +3 38 -90 21 +3 34 -107 1 +3 35 -78 18
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/tool_dependencies.xml Fri Jan 01 18:37:54 2016 -0500 @@ -0,0 +1,6 @@ +<?xml version="1.0"?> +<tool_dependency> + <package name="anaconda" version="2.3.0"> + <repository changeset_revision="94d978ebbfd4" name="package_anaconda_2_3_0" owner="iuc" toolshed="https://toolshed.g2.bx.psu.edu" /> + </package> +</tool_dependency>