throw away old code, prepare tests

diff --git a/README.md b/README.md
index 2b103b2..f1ef56f 100644 (file)
--- a/README.md
+++ b/README.md
@@ -12,6 +12,4 @@ This program takes n time-series in input and is divided in two stages:
 
 ---
 
-The folder "communication/" contains latex sources of the slides showed at half-project(?)
-
-The other folder contains all the R and C code, with toy datasets (real ones are not public).
+The folder ... contains ... (TODO)

diff --git a/TODO b/TODO
index 96a8221..f5e0015 100644 (file)
--- a/TODO
+++ b/TODO
@@ -1,13 +1,7 @@
 simulateur : complètement aléatoire ? from Irish dataset ?
+wmtsa : wavBootstrap
 wavelets methods in statistics with R - p180
 
-00-convertir2009 et 2010.R
-01-extractFeatures.R pour 2009 [utilise Stbr.R] (car on prédit 2010, pas besoin)
-02-cluster2009.R
-03-compute-sum-of-classes2009.R
-05-cluster2WER-2009.R
-06-prediction.R
-
 Essayer distance wdist du package biwavelet ?
 
 geometric structure of high dim data and dim reduction 2011
@@ -18,61 +12,14 @@ A faire:
  - finir les experiences (sur nb de classes, nb de curves / chunk, nb de procs)
    et sur d'autres architectures
 
-dans old_C_code/build :
-cmake ../stage1/src
-make
-
-dans data/, lancer R puis :
-source("../old_C_code/wrapper.R")
-serialize("../old_C_code/build", "2009.csv","2009.bin",1)
-library(parallel)
-np = detectCores()
-nbSeriesPerChunk = 3000
-nbClusters = 20
-ppam_exe("../old_C_code/build",np,"2009.bin",nbSeriesPerChunk,nbClusters)
-C = getMedoids("../old_C_code/build", "ppamResult.xml", "ppamFinalSeries.bin")
-first100series = deserialize("../old_C_code/build", "2009.bin", "2009.csv.part", "1-100")
-distor = getDistor("../old_C_code/build", "ppamResult.xml", "2009.bin")
-
-- interface matrice -> binaire
-        OK
-
- - courbe synchrone
-        ??
-
 Piste à explorer pour les comparaisons: H20
 
 renvoyer nombre d'individues par classe ? (+ somme ?)
 hypothèse : données déjà ordonnées 48 1/2H sur 365j
 utiliser du mixmod avec modèles allongés
-doit toutner sur machine plutôt standard, utilisateur "lambda"
+doit tourner sur machine plutôt standard, utilisateur "lambda"
 utiliser Rcpp ?
 
-=====
-
-strategies for upscaling
-From 25K to 25M : in 1000 chunks of 25K
-Reference values :
- K0 = 200 super consumers (SC)
- K∗ = 15 nal clusters
-1st strategy
- Do 1000 times ONLY Energycon's 1st-step strategy on 25K clients
- With the 1000 × K0 SC perform a 2-step run leading to K∗ clusters
-
---> il faut lancer 1000(param: nbTasks?) tâches avec itérations (éventuelles)
---> écrire tous les résultats, puis les récupérer pour démarrer :
---> phase 2 sur 1000xK0 médoïdes
-
-2nd strategy
- Do 1000 times Energycon's 2-step strategy on 25K clients leading to
- 1000 × K∗ intermediate clusters
- Treat the intermediate clusters as individual curves and perform a
- single 2-step run to get K∗ final clusters
-
---> 1000(nbTasks) tâches avec itérations possibles, puis phase 2 en fin de chaqune des 1000
-tâches. On obtient 1000xK* médoïdes
---> Phase 2 sur les 1000xK* médoïdes
-
 #point avec Jairo:
 #rentrer dans code C cwt continue Rwave
 #passer partie sowas à C

diff --git a/epclust/DESCRIPTION b/epclust/DESCRIPTION
index bb3e6cf..aa5acde 100644 (file)
--- a/epclust/DESCRIPTION
+++ b/epclust/DESCRIPTION
@@ -7,7 +7,9 @@ Description: EPCLUST: Electric Power curves CLUSTering, through their wavelets d
 Version: 0.1-0
 Author:
        Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
-       Jairo Cugliari <Jairo.Cugliari@univ-lyon2.fr> [aut]
+       Jairo Cugliari <Jairo.Cugliari@univ-lyon2.fr> [aut],
+       Yannig Goude <Yannig.Goude@edf.fr> [ctb],
+       Jean-Michel Poggi <Jean-Michel.Poggi@math.u-psud.fr> [ctb]
 Maintainer: Benjamin Auder <Benjamin.Auder@math.u-psud.fr>
 Depends:
     R (>= 3.0.0),
@@ -16,7 +18,6 @@ Depends:
                wavelets
 Suggests:
     testthat,
-    knitr,
                wmtsa,
                RSQLite
 License: MIT + file LICENSE

diff --git a/epclust/LICENSE b/epclust/LICENSE
index 08526c5..434f922 100644 (file)
--- a/epclust/LICENSE
+++ b/epclust/LICENSE
@@ -1,4 +1,7 @@
-Copyright (c) 2016-2017, Jairo Cugliari ; 2016-2017, Benjamin Auder
+Copyright (c) 2016-2017, Benjamin Auder
+              2016-2017, Jairo Cugliari
+              2016-2017, Yannig Goude
+                                                       2016-2017, Jean-Michel Poggi
 
 Permission is hereby granted, free of charge, to any person obtaining
 a copy of this software and associated documentation files (the

diff --git a/epclust/README.md b/epclust/README.md
deleted file mode 100644 (file)
index cfe894e..0000000
--- a/epclust/README.md
+++ /dev/null
@@ -1,11 +0,0 @@
-# Clustering individual power curves using wavelets decomposition
-
-This package was funded by a contract with EDF; its goal is to identify groups of customers.
-
-## Description
-
-TODO
-
-## Example
-
-TODO

diff --git a/epclust/tests/testthat/test.clustering.R b/epclust/tests/testthat/test.clustering.R
deleted file mode 100644 (file)
index eeed576..0000000
--- a/epclust/tests/testthat/test.clustering.R
+++ /dev/null
@@ -1,2 +0,0 @@
-computeClusters
-computeSynchrones

diff --git a/epclust/tests/testthat/test.clusteringTask.R b/epclust/tests/testthat/test.clusteringTask.R
new file mode 100644 (file)
index 0000000..f45276c
--- /dev/null
+++ b/epclust/tests/testthat/test.clusteringTask.R
@@ -0,0 +1,38 @@
+computeClusters
+computeSynchrones
+
+# Cluster one full task (nb_curves / ntasks series)
+clusteringTask = function(indices,getSeries,getSeriesForSynchrones,synchrones_file,
+       getCoefs,K1,K2,nb_series_per_chunk,ncores,to_file,ftype)
+{
+       cl = parallel::makeCluster(ncores)
+       repeat
+       {
+               nb_workers = max( 1, round( length(indices) / nb_series_per_chunk ) )
+               indices_workers = lapply(seq_len(nb_workers), function(i) {
+                       upper_bound = ifelse( i<nb_workers,
+                               min(nb_series_per_chunk*i,length(indices)), length(indices) )
+                       indices[(nb_series_per_chunk*(i-1)+1):upper_bound]
+               })
+               indices = unlist( parallel::parLapply(cl, indices_workers, function(inds)
+                       computeClusters1(inds, getCoefs, K1)) )
+               if (length(indices_clust) == K1)
+                       break
+       }
+       parallel::stopCluster(cl)
+       if (K2 == 0)
+               return (indices)
+       computeClusters2(indices, K2, getSeries, getSeriesForSynchrones, to_file,
+                                                                        nb_series_per_chunk,ftype)
+       vector("integer",0)
+}
+
+# Apply the clustering algorithm (PAM) on a coeffs or distances matrix
+computeClusters1 = function(indices, getCoefs, K1)
+{
+       coefs = getCoefs(indices)
+       indices[ cluster::pam(coefs, K1, diss=FALSE)$id.med ]
+}
+
+# Cluster a chunk of series inside one task (~max nb_series_per_chunk)
+computeClusters2 = function(indices, K2, getSeries, getSeriesForSynchrones, to_file,

diff --git a/old_C_code/stage2_UNFINISHED/src/.gitkeep b/epclust/tests/testthat/test.computeCluster.R
similarity index 100%
rename from old_C_code/stage2_UNFINISHED/src/.gitkeep
rename to epclust/tests/testthat/test.computeCluster.R

diff --git a/epclust/tests/testthat/test.de_serialize.R b/epclust/tests/testthat/test.de_serialize.R
new file mode 100644 (file)
index 0000000..41c57e4
--- /dev/null
+++ b/epclust/tests/testthat/test.de_serialize.R
@@ -0,0 +1,52 @@
+
+#data: matrix of double or connection
+serialize = function(data, file, type, nb_per_chunk)
+{
+       bin_data = file(file, "ab")
+       #write data length on first call
+       nbytes = ifelse(type=="double",8,4)
+       first_write = FALSE
+       if (file.info(file)$size == 0)
+       {
+               #number of items always on 8 bytes
+               writeBin(0L, bin_data, size=8) #,endian="little")
+               first_write = TRUE
+       }
+       if (is.matrix(data))
+       {
+               writeBin(t(data), bin_data, size=nbytes)
+               data_length = ncol(data)
+       }
+       else #if (is(data, "connection"))
+       {
+               if (first_write)
+               {
+                       data_line = scan(data, double(), sep=",", nlines=1)
+                       writeBin(data_line, bin_data, size=nbytes)
+                       data_length = length(data_line)
+               }
+               repeat
+               {
+                       data_chunk = scan(data, double(), sep=",", nlines=nb_per_chunk)
+                       if (length(data_chunk)==0)
+                               break
+                       writeBin(data_chunk, bin_data, size=nbytes)
+               }
+       }
+       if (first_write)
+       {
+               #ecrire file_size-1 / (nbytes*nbWritten) en 0 dans bin_data ! ignored == file_size
+               ignored = seek(bin_data, 0)
+               writeBin(data_length, bin_data, size=8)
+       }
+       close(bin_data)
+}
+
+#TODO: read in binary file, always same structure
+getDataFromFile(indices, file, type)
+{
+       bin_data = file(file, "rb")
+       nbytes = ifelse(type=="double",8,4)
+       data_length = readBin(bin_data,"double",1,nbytes) #,endian="little")
+       t(sapply(indices, function(i) readBin(bin_data,"double",n=data_length,size=nbytes)))
+}

diff --git a/epclust/tests/testthat/test.utils.R b/epclust/tests/testthat/test.utils.R
deleted file mode 100644 (file)
index d228338..0000000
--- a/epclust/tests/testthat/test.utils.R
+++ /dev/null
@@ -1,3 +0,0 @@
-serialize
-deserialize
-getCoeffs

diff --git a/initialize.sh b/initialize.sh
index 0b79c37..8264860 100755 (executable)
--- a/initialize.sh
+++ b/initialize.sh
@@ -4,7 +4,7 @@
 git submodule init && git submodule update --merge
 #filter for git-fat
 echo -e '*.pdf filter=fat\n*.tar.xz filter=fat' > .gitattributes
-#pre-push hook: git fat push, submodules update
+#pre-push hook: git fat pull/push, submodules update
 echo -e '#!/bin/sh\n./.git-fat/git-fat pull\n./.git-fat/git-fat push\ngit submodule update --merge' > .git/hooks/pre-push
 chmod 755 .git/hooks/pre-push
 #.gitfat file with remote on gitfat@auder.net

diff --git a/old_C_code/.gitignore b/old_C_code/.gitignore
deleted file mode 100644 (file)
index 1ebda79..0000000
--- a/old_C_code/.gitignore
+++ /dev/null
@@ -1,2 +0,0 @@
-#ignore building files and folders
-build/

diff --git a/old_C_code/README b/old_C_code/README
deleted file mode 100644 (file)
index 6a539af..0000000
--- a/old_C_code/README
+++ /dev/null
@@ -1,54 +0,0 @@
-0) Download & compile Benjamin's specific library
-
-   git clone git@auder.net:cgds
-   cd cgds
-   bash makeMakefile.sh src
-   make src
-   sudo make install
-
-Make sure that the install destination is on the LD_LIBRARY_PATH environment variable.
-
-1) Compile source code for 1st stage clustering
-
-   mkdir -p build/stage1/src
-   cd build/stage1/src
-   cmake ../../../stage1/src
-   make
-
-2) #repeat previous lines for stage 2 ???
-
-
-NOTA: Need to have openmpi, mpich (compiler for mpi) libxml, and libgsl installed.
-
-
-Usage (stage 1) :
-
-Serialize input data using 
-
-   ppam.exe serialize inputfile_edf outputfile_edf 1 0 
-
-# 1 indicates data is by column
-# 0 means process all the rows
-
-   mpirun -np nbProcess ppam.exe cluster ifilename nbSeriesInChunk nbClusters randomize p_for_dissims
-
-## ex. > mpirun -np 4 ./ppam.exe cluster ~/tmp/2009.bin 5000 200 1 2 
-
-Where :
-   nbProcess = number of simultaneous processes
-   ifilename = path to serialized dataset (read below)
-   nbSeriesInChunk = number of time-series to process sequentially
-   nbClusters = number of clusters
-   randomize = 1 to dispatch time-series at random. 0 to process them in order
-   p_for_dissims = the 'p' of L_p distance used to compute dissimilarities
-
-
-The results are stored in ppamResult.xml (curves ids and ranks) while ppamFinalSeries.bin
-are the curves used in the last clustering step. The ranks in ppamResult.xml refer to the
-curves in ppamFinalSeries.bin
-
-
-Note : custom [de]serialization. Consider writing your own 
-in src/TimeSeries/ folder if you plan to test the package.
-
-See also src/main.c for the details.

diff --git a/old_C_code/emergency_mode b/old_C_code/emergency_mode
deleted file mode 100644 (file)
index 92c1cd0..0000000
--- a/old_C_code/emergency_mode
+++ /dev/null
@@ -1,12 +0,0 @@
-#seems that current code doesn't work great (deserialize is broken somewhere).
-#So, this allow to use old code as it worked for JdS slides (e.g.):
-
-git reset --hard 16da38ab3419e7063ce367eb878a9e60d2...
-
-cd code/stage1/build
-cmake ../src
-make
-
-cd ../data
-../build/ppam.exe serialize 2011.csv 2011.bin 1 0
-mpirun -np 4 ../build/ppam.exe cluster 2011.bin 3000 20 1 2

diff --git a/old_C_code/stage1/src/Algorithm/compute_coefficients.c b/old_C_code/stage1/src/Algorithm/compute_coefficients.c
deleted file mode 100644 (file)
index cfec0e6..0000000
--- a/old_C_code/stage1/src/Algorithm/compute_coefficients.c
+++ /dev/null
@@ -1,57 +0,0 @@
-#include <stdlib.h>
-#include "Util/types.h"
-#include <math.h>
-#include <gsl/gsl_wavelet.h>
-#include <gsl/gsl_spline.h>
-
-// compute rows of the matrix of reduced coordinates
-void compute_coefficients(PowerCurve* powerCurves, uint32_t nbSeries, uint32_t nbValues,
-       float* reducedCoordinates, uint32_t index, uint32_t nbReducedCoordinates)
-{
-       uint32_t D = (1 << nbReducedCoordinates);
-       double* x = (double*) malloc(nbValues*sizeof(double));
-       for (uint32_t i=0; i<nbValues; i++)
-               x[i] = i;
-       double* y = (double*) malloc(nbValues*sizeof(double));
-       double* interpolatedTranformedCurve = (double*) malloc(D*sizeof(double));
-       gsl_interp* linearInterpolation = gsl_interp_alloc(gsl_interp_linear, nbValues);
-       gsl_interp_accel* acc = gsl_interp_accel_alloc();
-       gsl_wavelet_workspace* work = gsl_wavelet_workspace_alloc(D);
-       //gsl_wavelet* w = gsl_wavelet_alloc(gsl_wavelet_bspline, 206); //used for starlight
-       gsl_wavelet* w = gsl_wavelet_alloc(gsl_wavelet_daubechies, 6); //used for power curves
-       //gsl_wavelet* w = gsl_wavelet_alloc(gsl_wavelet_haar, 2);
-       for (uint32_t i = 0; i < nbSeries; i++)
-       {
-               //Spline interpolation to have D = 2^u sample points
-               for (uint32_t j=0; j<nbValues; j++)
-                       y[j] = powerCurves[i].values[j];
-               gsl_interp_init(linearInterpolation, x, y, nbValues);
-               for (uint32_t j=0; j<D; j++)
-               {
-                       interpolatedTranformedCurve[j] = 
-                               gsl_interp_eval(linearInterpolation, x, y, j*((float)(nbValues-1)/(D-1)), acc);
-               }
-               //DWT transform (in place) on interpolated curve [TODO: clarify stride parameter]
-               gsl_wavelet_transform_forward(w, interpolatedTranformedCurve, 1, D, work);
-               //Fill reducedCoordinates with energy contributions
-               uint32_t t0 = 1;
-               uint32_t t1 = 1;
-               for (uint32_t j=0; j<nbReducedCoordinates; j++) 
-               {
-                       t1 += (1 << j);
-                       //reducedCoordinates[(index+i)*nbReducedCoordinates+j] = sqrt( sum( x[t0:t1]^2 ) )
-                       float sumOnSegment = 0.0;
-                       for (uint32_t u=t0; u<t1; u++)
-                               sumOnSegment += interpolatedTranformedCurve[u]*interpolatedTranformedCurve[u];
-                       reducedCoordinates[(index+i)*nbReducedCoordinates+j] = sqrt(sumOnSegment);
-                       t0 = t1;
-               }
-       }
-       gsl_interp_free(linearInterpolation);
-    gsl_interp_accel_free(acc);
-       free(x);
-       free(y);
-       free(interpolatedTranformedCurve);
-       gsl_wavelet_free(w);
-       gsl_wavelet_workspace_free(work);
-}

diff --git a/old_C_code/stage1/src/Algorithm/compute_coefficients.h b/old_C_code/stage1/src/Algorithm/compute_coefficients.h
deleted file mode 100644 (file)
index a77dc60..0000000
--- a/old_C_code/stage1/src/Algorithm/compute_coefficients.h
+++ /dev/null
@@ -1,10 +0,0 @@
-#ifndef PPAM_COMPUTE_COEFFICIENTS_H
-#define PPAM_COMPUTE_COEFFICIENTS_H
-
-#include "Util/types.h"
-
-// compute rows of the matrix of reduced coordinates (see computeCoefficients.R)
-void compute_coefficients(PowerCurve* powerCurves, uint32_t nbSeries, uint32_t nbValues,
-       float* reducedCoordinates, uint32_t index, uint32_t nbReducedCoordinates);
-
-#endif

diff --git a/old_C_code/stage1/src/Algorithm/get_dissimilarities.c b/old_C_code/stage1/src/Algorithm/get_dissimilarities.c
deleted file mode 100644 (file)
index 5dc8ea2..0000000
--- a/old_C_code/stage1/src/Algorithm/get_dissimilarities.c
+++ /dev/null
@@ -1,47 +0,0 @@
-#include "Util/types.h"
-#include <stdlib.h>
-#include <math.h>
-
-// compute L^p dissimilarities for a nxm matrix
-float* get_dissimilarities_intra(float* samples, uint32_t nbSamples, uint32_t nbValues, uint32_t p)
-{
-       float* dissimilarities = (float*) malloc(nbSamples*nbSamples*sizeof(float));
-       for (uint32_t i=0; i<nbSamples; i++)
-       {
-               dissimilarities[i*nbSamples+i] = 0.0;
-               for (uint32_t j=0; j<i; j++)
-               {
-                       // dissimilarities[i*nbSamples+j] = L^p distance between reduced rows i and j
-                       double dissim = 0.0;
-                       for (uint32_t m=0; m<nbValues; m++)
-                       {
-                               double delta = fabs(samples[i*nbValues+m] - samples[j*nbValues+m]);
-                               dissim += pow(delta, p);
-                       }
-                       dissimilarities[i*nbSamples+j] = pow(dissim, 1.0/p);
-                       dissimilarities[j*nbSamples+i] = dissimilarities[i*nbSamples+j];
-               }
-       }
-       return dissimilarities;
-}
-
-// compute L^p dissimilarities between rows of 2 matrices
-float* get_dissimilarities_inter(float* mat1, uint32_t n1, float* mat2, uint32_t n2, 
-       uint32_t nbValues, uint32_t p)
-{
-       float* dissimilarities = (float*) malloc(n1*n2*sizeof(float));
-       for (uint32_t i=0; i<n1; i++)
-       {
-               for (uint32_t j=0; j<n2; j++)
-               {
-                       double dissim = 0.0;
-                       for (uint32_t m=0; m<nbValues; m++)
-                       {
-                               double delta = fabs(mat1[i*nbValues+m] - mat2[j*nbValues+m]);
-                               dissim += pow(delta, p);
-                       }
-                       dissimilarities[i*n2+j] = pow(dissim, 1.0/p);
-               }
-       }
-       return dissimilarities;
-}

diff --git a/old_C_code/stage1/src/Algorithm/get_dissimilarities.h b/old_C_code/stage1/src/Algorithm/get_dissimilarities.h
deleted file mode 100644 (file)
index b9580de..0000000
--- a/old_C_code/stage1/src/Algorithm/get_dissimilarities.h
+++ /dev/null
@@ -1,13 +0,0 @@
-#ifndef PPAM_GET_DISSIMILARITIES_H
-#define PPAM_GET_DISSIMILARITIES_H
-
-#include "Util/types.h"
-
-// compute L^p dissimilarities for a nxm matrix
-float* get_dissimilarities_intra(float* samples, uint32_t nbSamples, uint32_t nbValues, uint32_t p);
-
-// compute L^p dissimilarities between rows of 2 matrices
-float* get_dissimilarities_inter(float* mat1, uint32_t n1, float* mat2, uint32_t n2, 
-       uint32_t nbValues, uint32_t p);
-
-#endif

diff --git a/old_C_code/stage1/src/Algorithm/pam.c b/old_C_code/stage1/src/Algorithm/pam.c
deleted file mode 100644 (file)
index 60e3efe..0000000
--- a/old_C_code/stage1/src/Algorithm/pam.c
+++ /dev/null
@@ -1,167 +0,0 @@
-#include "Util/types.h"
-#include "Util/rng.h"
-#include <cgds/Vector.h>
-#include <stdlib.h>
-#include <math.h>
-
-// auxiliary function to obtain a random sample of 1..n with k elements
-static void sample(uint32_t* v, uint32_t n, uint32_t k)
-{
-       // refVect = (0,1,...,n-1,n)
-       uint32_t* refVect = (uint32_t*) malloc(n * sizeof(uint32_t));
-       for (uint32_t i = 0; i < n; i++)
-               refVect[i] = i;
-
-       uint32_t curSize = n; // current size of the sampling set
-       for (uint32_t j = 0; j < k; j++)
-       {
-               // pick an index in sampling set:
-               uint32_t index = get_rand_int() % curSize;
-               v[j] = refVect[index];
-               // move this index outside of sampling set:
-               refVect[index] = refVect[--curSize];
-       }
-
-       free(refVect);
-}
-
-// assign a vector (represented by its dissimilarities to others, as dissimilarities[index,])
-// to a cluster, represented by its center ==> output is integer in 0..K-1
-static uint32_t assignCluster(uint32_t index, float* dissimilarities,
-       uint32_t* centers, uint32_t n, uint32_t K)
-{
-       uint32_t minIndex = 0;
-       float minDist = dissimilarities[index * n + centers[0]];
-
-       for (uint32_t j = 1; j < K; j++)
-       {
-               if (dissimilarities[index * n + centers[j]] < minDist)
-               {
-                       minDist = dissimilarities[index * n + centers[j]];
-                       minIndex = j;
-               }
-       }
-
-       return minIndex;
-}
-
-// assign centers given a clustering, and also compute corresponding distortion
-static void assign_centers(uint32_t nbClusters, Vector** clusters, float* dissimilarities,
-       uint32_t nbItems, uint32_t* ctrs, float* distor)
-{
-       *distor = 0.0;
-       // TODO [heuristic]: checking only a neighborhood of the former center ?
-       for (uint32_t j = 0; j < nbClusters; j++)
-       {
-               // If the cluster is empty, choose a center at random (pathological case...)
-               uint32_t minIndex = get_rand_int() % nbItems;
-               float minSumDist = INFINITY;
-               for (uint32_t i = 0; i < vector_size(clusters[j]); i++)
-               {
-                       uint32_t index1;
-                       vector_get(clusters[j], i, index1);
-                       // attempt to use current index as center
-                       float sumDist = 0.0;
-                       for (uint32_t ii = 0; ii < vector_size(clusters[j]); ii++)
-                       {
-                               uint32_t index2;
-                               vector_get(clusters[j], ii, index2);
-                               sumDist += dissimilarities[index1 * nbItems + index2];
-                       }
-                       if (sumDist < minSumDist)
-                       {
-                               minSumDist = sumDist;
-                               minIndex = index1;
-                       }
-               }
-               ctrs[j] = minIndex;
-               *distor += minSumDist;
-       }
-}
-
-// Core PAM algorithm from a dissimilarity matrix; (e.g. nstart=10, maxiter=100)
-void pam(float* dissimilarities, uint32_t nbItems, uint32_t nbClusters, int clustOnMedoids,
-       uint32_t nbStart, uint32_t maxNbIter, Result_t* result)
-{
-       uint32_t* ctrs = result->medoids_ranks; //shorthand
-       uint32_t* oldCtrs = (uint32_t*) malloc(nbClusters * sizeof(uint32_t));
-       Vector** clusters = (Vector**) malloc(nbClusters * sizeof(Vector*));
-       Vector** bestClusts = (Vector**) malloc(nbClusters * sizeof(Vector*));
-       for (uint32_t j = 0; j < nbClusters; j++)
-       {
-               clusters[j] = vector_new(uint32_t);
-               bestClusts[j] = vector_new(uint32_t);
-       }
-
-       float lastDistor, distor, bestDistor = INFINITY;
-       for (uint32_t startKount = 0; startKount < nbStart; startKount++)
-       {
-               // centers (random) [re]initialization
-               if (clustOnMedoids)
-               {
-                       // In this special case (clustering groups of medoids), we can improve the sampling
-                       uint32_t randomMedoidRank = get_rand_int() % (nbItems / nbClusters);
-                       uint32_t startIndex = randomMedoidRank * nbClusters;
-                       for (uint32_t index = startIndex; index < startIndex + nbClusters; index++)
-                               ctrs[index - startIndex] = index;
-               }
-               else
-                       // No information: complete random sampling
-                       sample(ctrs, nbItems, nbClusters);
-               for (uint32_t j = 0; j < nbClusters; j++)
-                       oldCtrs[j] = 0;
-               uint32_t kounter = 0;
-
-               distor = INFINITY;
-               do // while 'distortion' decreases...
-               {
-                       // (re)initialize clusters to empty sets
-                       for (uint32_t j = 0; j < nbClusters; j++)
-                               vector_clear(clusters[j]);
-
-                       // estimate clusters belongings
-                       for (uint32_t i = 0; i < nbItems; i++)
-                       {
-                               uint32_t affectation = assignCluster(i, dissimilarities, ctrs, nbItems, nbClusters);
-                               vector_push(clusters[affectation], i);
-                       }
-
-                       // copy current centers to old centers
-                       for (uint32_t j = 0; j < nbClusters; j++)
-                               oldCtrs[j] = ctrs[j];
-
-                       // recompute centers
-                       lastDistor = distor;
-                       assign_centers(nbClusters, clusters, dissimilarities, nbItems, ctrs, &distor);
-               }
-               while (distor < lastDistor && kounter++ < maxNbIter);
-
-               if (distor < bestDistor)
-               {
-                       // copy current clusters into bestClusts
-                       for (uint32_t j = 0; j < nbClusters; j++)
-                       {
-                               vector_clear(bestClusts[j]);
-                               for (uint32_t i = 0; i < vector_size(clusters[j]); i++)
-                               {
-                                       uint32_t index;
-                                       vector_get(clusters[j], i, index);
-                                       vector_push(bestClusts[j], index);
-                               }
-                       }
-                       bestDistor = distor;
-               }
-       }
-
-       // Assign centers from bestClusts
-       assign_centers(nbClusters, bestClusts, dissimilarities, nbItems, ctrs, &distor);
-
-       free(oldCtrs);
-       for (uint32_t j = 0; j < nbClusters; j++)
-       {
-               vector_destroy(clusters[j]);
-               vector_destroy(bestClusts[j]);
-       }
-       free(clusters);
-       free(bestClusts);
-}

diff --git a/old_C_code/stage1/src/Algorithm/pam.h b/old_C_code/stage1/src/Algorithm/pam.h
deleted file mode 100644 (file)
index 353759c..0000000
--- a/old_C_code/stage1/src/Algorithm/pam.h
+++ /dev/null
@@ -1,13 +0,0 @@
-#ifndef PPAM_PAM_H
-#define PPAM_PAM_H
-
-#include "Util/types.h"
-
-#define NSTART 5
-#define MAXITER 100
-
-// Core PAM algorithm from a 'flat' dissimilarity matrix
-void pam(float* dissimilarities, uint32_t nbItems, uint32_t nbClusters,
-       int clustOnMedoids, uint32_t nbStart, uint32_t maxNbIter, Result_t* result);
-
-#endif

diff --git a/old_C_code/stage1/src/CMakeLists.txt b/old_C_code/stage1/src/CMakeLists.txt
deleted file mode 100644 (file)
index b69602f..0000000
--- a/old_C_code/stage1/src/CMakeLists.txt
+++ /dev/null
@@ -1,48 +0,0 @@
-cmake_minimum_required(VERSION 2.8.5)
-project(ppam_mpi)
-
-set(CMAKE_C_FLAGS "-std=gnu99")
-set(CMAKE_C_FLAGS_DEBUG "-g3")
-set(CMAKE_C_FLAGS_RELEASE "-O3")
-
-#already by default... ?!
-include_directories("${CMAKE_SOURCE_DIR}")
-
-#ppam executable (serialize, cluster, classif)
-
-#cds
-set(CGDS_INCLUDE_PATH "/usr/local/include/cgds")
-#set(CGDS_LIBRARY "/usr/local/lib/libcgds.so")
-#find_path(CDS_INCLUDE_PATH "cgds/cgds.h")
-#find_library(CGDS_LIBRARY cgds)
-include_directories(${CGDS_INCLUDE_PATH})
-
-#GSL: standard location
-find_path(GSL_INCLUDE_PATH "gsl/gsl_linalg.h")
-include_directories(${GSL_INCLUDE_PATH})
-find_library(GSL_LIBRARY gsl)
-find_library(GSLCBLAS_LIBRARY gslcblas)
-set(GSL_LIBRARIES ${GSL_LIBRARY} ${GSLCBLAS_LIBRARY})
-
-#MPI: standard location
-find_package(MPI REQUIRED)
-include_directories(${MPI_INCLUDE_PATH})
-
-#LibXml2: standard location
-find_package(LibXml2 REQUIRED)
-include_directories(${LIBXML2_INCLUDE_DIR})
-
-file(GLOB_RECURSE ppam_src "${CMAKE_SOURCE_DIR}/*.c")
-add_executable(ppam.exe ${ppam_src})
-add_library(ppam SHARED ${ppam_src})
-target_link_libraries(ppam.exe m cgds ${MPI_LIBRARIES} ${LIBXML2_LIBRARIES} ${GSL_LIBRARIES})# ${CGDS_LIBRARY})
-target_link_libraries(ppam m cgds ${MPI_LIBRARIES} ${LIBXML2_LIBRARIES} ${GSL_LIBRARIES})# ${CGDS_LIBRARY})
-
-if (MPI_COMPILE_FLAGS)
-       set_target_properties(ppam.exe PROPERTIES
-               COMPILE_FLAGS "${MPI_COMPILE_FLAGS}")
-endif()
-if (MPI_LINK_FLAGS)
-       set_target_properties(ppam.exe PROPERTIES
-               LINK_FLAGS "${MPI_LINK_FLAGS}")
-endif()

diff --git a/old_C_code/stage1/src/Classification/_Readme b/old_C_code/stage1/src/Classification/_Readme
deleted file mode 100644 (file)
index 4e34128..0000000
--- a/old_C_code/stage1/src/Classification/_Readme
+++ /dev/null
@@ -1,2 +0,0 @@
-The output of a k-style clustering can easily be used for supervised classification:
-we assign any new observation to the closest cluster representative ("center").

diff --git a/old_C_code/stage1/src/Classification/getClass.c b/old_C_code/stage1/src/Classification/getClass.c
deleted file mode 100644 (file)
index acec167..0000000
--- a/old_C_code/stage1/src/Classification/getClass.c
+++ /dev/null
@@ -1,46 +0,0 @@
-#include "Algorithm/get_dissimilarities.h"
-#include "TimeSeries/deserialize.h"
-#include <math.h>
-#include "Algorithm/compute_coefficients.h"
-#include <string.h>
-#include "Util/utils.h"
-
-uint32_t* get_class(PowerCurve* data, uint32_t nbSeries, PowerCurve* medoids, 
-       uint32_t nbClusters, uint32_t nbValues, uint32_t p_for_dissims, double* DISTOR)
-{
-       // nbReducedCoordinates = smallest power of 2 which is above nbValues
-       uint32_t nbReducedCoordinates = (uint32_t)ceil(log2(nbValues));
-
-       // Preprocessing to reduce dimension of both data and medoids
-       float* reducedCoordinates_data = (float*) malloc(nbSeries * nbReducedCoordinates * sizeof(float));
-       compute_coefficients(data, nbSeries, nbValues, 
-               reducedCoordinates_data, 0, nbReducedCoordinates);
-       float* reducedCoordinates_medoids = (float*) malloc(nbClusters * nbReducedCoordinates * sizeof(float));
-       compute_coefficients(medoids, nbClusters, nbValues, 
-               reducedCoordinates_medoids, 0, nbReducedCoordinates);
-       
-       float* dissimilarities = get_dissimilarities_inter(reducedCoordinates_data, nbSeries, 
-               reducedCoordinates_medoids, nbClusters, nbReducedCoordinates, p_for_dissims);
-       free(reducedCoordinates_data);
-       free(reducedCoordinates_medoids);
-       
-       // 3] Finally, assign each row to the least dissimilar center
-       uint32_t* result = (uint32_t*) malloc(nbSeries*sizeof(uint32_t));
-       for (uint32_t i=0; i<nbSeries; i++)
-       {
-               uint32_t minIndex = 0;
-               float minDissim = dissimilarities[i*nbClusters + 0];
-               for (uint32_t j=1; j<nbClusters; j++)
-               {
-                       if (dissimilarities[i*nbClusters + j] < minDissim)
-                       {
-                               minDissim = dissimilarities[i*nbClusters + j];
-                               minIndex = j;
-                       }
-               }
-               result[i] = minIndex + 1;
-               (*DISTOR) += minDissim;
-       }
-       free(dissimilarities);
-       return result;
-}

diff --git a/old_C_code/stage1/src/Classification/getClass.h b/old_C_code/stage1/src/Classification/getClass.h
deleted file mode 100644 (file)
index 4bb4af1..0000000
--- a/old_C_code/stage1/src/Classification/getClass.h
+++ /dev/null
@@ -1,9 +0,0 @@
-#ifndef PPAM_GET_CLASS_H
-#define PPAM_GET_CLASS_H
-
-#include "Util/types.h"
-
-uint32_t* get_class(PowerCurve* data, uint32_t nbSeries, PowerCurve* medoids, 
-       uint32_t nbClusters, uint32_t nbValues, uint32_t p_for_dissims, double* DISTOR);
-
-#endif

diff --git a/old_C_code/stage1/src/MPI_Communication/pack.c b/old_C_code/stage1/src/MPI_Communication/pack.c
deleted file mode 100644 (file)
index 8cb7b4f..0000000
--- a/old_C_code/stage1/src/MPI_Communication/pack.c
+++ /dev/null
@@ -1,60 +0,0 @@
-#include <stdlib.h>
-#include "Util/types.h"
-#include "Util/utils.h"
-
-// serialize a Work_t object into a bytes string
-void pack_work(Work_t* work, uint32_t nbSeriesInChunk, Byte* packedWork)
-{
-       uint32_t index = 0;
-
-       while (work->inputFileName[index] != 0)
-       {
-               packedWork[index] = work->inputFileName[index];
-               index++;
-       }
-       // complete with zeros
-       while (index < NCHAR_FNAME)
-               packedWork[index++] = 0;
-
-       write_int(work->nbSeries, packedWork + index);
-       index += 4;
-
-       for (uint32_t i = 0; i < work->nbSeries; i++)
-       {
-               write_int(work->ranks[i], packedWork + index);
-               index += 4;
-       }
-       // complete with zeros
-       for (uint32_t i = 0; i < nbSeriesInChunk - work->nbSeries; i++)
-       {
-               write_int(0, packedWork + index);
-               index += 4;
-       }
-
-       write_int(work->nbClusters, packedWork + index);
-       index += 4;
-       write_int(work->clustOnMedoids, packedWork + index);
-       index += 4;
-       write_int(work->p_for_dissims, packedWork + index);
-}
-
-// serialize a Result_t object into a bytes string
-void pack_result(Result_t* result, Byte* packedResult)
-{
-       uint32_t index = 0;
-
-       write_int(result->nbClusters, packedResult);
-       index += 4;
-
-       for (uint32_t i = 0; i < result->nbClusters; i++)
-       {
-               write_int(result->medoids_ID[i], packedResult + index);
-               index += 4;
-       }
-
-       for (uint32_t i = 0; i < result->nbClusters; i++)
-       {
-               write_int(result->medoids_ranks[i], packedResult + index);
-               index += 4;
-       }
-}

diff --git a/old_C_code/stage1/src/MPI_Communication/pack.h b/old_C_code/stage1/src/MPI_Communication/pack.h
deleted file mode 100644 (file)
index 38338f7..0000000
--- a/old_C_code/stage1/src/MPI_Communication/pack.h
+++ /dev/null
@@ -1,12 +0,0 @@
-#ifndef PPAM_PACK_H
-#define PPAM_PACK_H
-
-#include "Util/types.h"
-
-// serialize a Work_t object into a bytes string
-void pack_work(Work_t* work, uint32_t nbSeriesInChunk, Byte* packedWork);
-
-// serialize a Result_t object into a bytes string
-void pack_result(Result_t* result, Byte* packedResult);
-
-#endif

diff --git a/old_C_code/stage1/src/MPI_Communication/unpack.c b/old_C_code/stage1/src/MPI_Communication/unpack.c
deleted file mode 100644 (file)
index c0f7e3c..0000000
--- a/old_C_code/stage1/src/MPI_Communication/unpack.c
+++ /dev/null
@@ -1,68 +0,0 @@
-#include <stdlib.h>
-#include "Util/types.h"
-#include "Util/utils.h"
-
-// deserialize a Work_t object from a bytes string
-Work_t* unpack_work(Byte* packedWork, uint32_t nbSeriesInChunk)
-{
-       Work_t* work = (Work_t*) malloc(sizeof(Work_t));
-
-       uint32_t index = 0;
-
-       size_t inputFileNameSize = 0;
-       while (packedWork[inputFileNameSize++] != 0) { }
-       work->inputFileName = (char*) malloc(inputFileNameSize);
-       while (index < inputFileNameSize)
-       {
-               work->inputFileName[index] = packedWork[index];
-               index++;
-       }
-
-       index = NCHAR_FNAME;
-
-       uint32_t nbSeries = work->nbSeries = bInt_to_uint(packedWork + index);
-       index += 4;
-
-       work->ranks = (uint32_t*) malloc(nbSeries * sizeof(uint32_t));
-       for (uint32_t i = 0; i < nbSeries; i++)
-       {
-               work->ranks[i] = bInt_to_uint(packedWork + index);
-               index += 4;
-       }
-       // shift over the zeros
-       index += 4 * (nbSeriesInChunk - nbSeries);
-
-       work->nbClusters = bInt_to_uint(packedWork + index);
-       index += 4;
-       work->clustOnMedoids = bInt_to_uint(packedWork + index);
-       index += 4;
-       work->p_for_dissims = bInt_to_uint(packedWork + index);
-
-       return work;
-}
-
-// deserialize a Result_t object from a bytes string
-Result_t* unpack_result(Byte* packedResult)
-{
-       Result_t* result = (Result_t*) malloc(sizeof(Result_t));
-       uint32_t index = 0;
-
-       uint32_t nbClusters = result->nbClusters = bInt_to_uint(packedResult);
-       index += 4;
-
-       result->medoids_ID = (uint32_t*) malloc(nbClusters * sizeof(uint32_t));
-       for (uint32_t i = 0; i < nbClusters; i++)
-       {
-               result->medoids_ID[i] = bInt_to_uint(packedResult + index);
-               index += 4;
-       }
-
-       result->medoids_ranks = (uint32_t*) malloc(nbClusters * sizeof(uint32_t));
-       for (uint32_t i = 0; i < nbClusters; i++)
-       {
-               result->medoids_ranks[i] = bInt_to_uint(packedResult + index);
-               index += 4;
-       }
-
-       return result;
-}

diff --git a/old_C_code/stage1/src/MPI_Communication/unpack.h b/old_C_code/stage1/src/MPI_Communication/unpack.h
deleted file mode 100644 (file)
index 3c7b414..0000000
--- a/old_C_code/stage1/src/MPI_Communication/unpack.h
+++ /dev/null
@@ -1,12 +0,0 @@
-#ifndef PPAM_UNPACK_H
-#define PPAM_UNPACK_H
-
-#include "Util/types.h"
-
-// deserialize a Work_t object from a bytes string
-Work_t* unpack_work(Byte* packedWork, uint32_t nbSeriesInChunk);
-
-// deserialize a Result_t object from a bytes string
-Result_t* unpack_result(Byte* packedResult);
-
-#endif

diff --git a/old_C_code/stage1/src/MPI_Main/master.c b/old_C_code/stage1/src/MPI_Main/master.c
deleted file mode 100644 (file)
index dfecfde..0000000
--- a/old_C_code/stage1/src/MPI_Main/master.c
+++ /dev/null
@@ -1,383 +0,0 @@
-#include "Util/types.h"
-#include "Util/utils.h"
-#include <mpi.h>
-#include <stdlib.h>
-#include <stdio.h>
-#include <string.h>
-#include <math.h>
-#include <unistd.h>
-#include "MPI_Communication/pack.h"
-#include "MPI_Communication/unpack.h"
-#include "Util/rng.h"
-
-// save the final result in XML format
-static void result_to_XML(Result_t* result, const char* inputFileName, 
-       const char* lastBinaryFileName, uint32_t p_for_dissims)
-{
-       uint32_t nbClusters = result->nbClusters;
-       FILE* ofile = fopen("ppamResult.xml", "w");
-       
-       fprintf(ofile, "<medoids>\n\n");
-
-       fprintf(ofile, "  <file>");
-       fprintf(ofile, "%s", lastBinaryFileName);
-       fprintf(ofile, "</file>\n\n");
-
-       fprintf(ofile, "  <p_for_dissims>");
-       fprintf(ofile, "%u", p_for_dissims);
-       fprintf(ofile, "</p_for_dissims>\n\n");
-       
-       fprintf(ofile, "  <IDs>\n");
-       for (uint32_t i=0; i<nbClusters; i++)
-               fprintf(ofile, "    <ID>%u</ID>\n", result->medoids_ID[i]);
-       fprintf(ofile, "  </IDs>\n\n");
-
-       // medoids ranks in last binary file (human printing: 0 --> 1 ...etc)
-       fprintf(ofile, "  <ranks>\n");
-       for (uint32_t i=0; i<nbClusters; i++)
-               fprintf(ofile, "    <rank>%u</rank>\n", result->medoids_ranks[i] + 1);
-       fprintf(ofile, "  </ranks>\n\n");
-
-       fprintf(ofile, "</medoids>\n");
-       fclose(ofile);
-}
-
-static void binaryResult_to_file(Result_t* result, const char* inputFileName,
-       const char* outputFileName)
-{
-       // Determine tsLength from inputFile
-       uint32_t tsLength = get_tsLength(inputFileName);
-
-       FILE* ifile = fopen(inputFileName, "rb");
-       FILE* ofile = fopen(outputFileName, "ab"); //'append binary'
-
-       Byte tsBuffer[tsLength];
-       for (uint32_t i = 0; i < result->nbClusters; i++)
-       {
-               // Get time-series in (binary) inputFile
-               fseek(ifile, 8 + result->medoids_ranks[i] * tsLength, SEEK_SET);
-               // Copy current serie onto ofile
-               
-               size_t lengthRead = fread(tsBuffer, 1, tsLength, ifile);
-               if (lengthRead != tsLength)
-                       fprintf(stderr, "problem while copying binary series to new file.\n");
-               fwrite(tsBuffer, 1, tsLength, ofile);
-       }
-
-       fclose(ifile);
-       fclose(ofile);
-}
-
-// fill a new unit of work suitable to be given to a slave
-static Work_t* get_next_work(char* inputFileName, uint32_t nbSeries, uint32_t nbSeriesInChunk,
-       double idealNbSeriesInChunk, uint32_t jobsSentCount, uint32_t lastEndIndex,
-       uint32_t nbClusters, uint32_t clustOnMedoids, 
-       int randomize, uint32_t p_for_dissims)
-{
-       Work_t* work = (Work_t*) malloc(sizeof(Work_t));
-
-       work->inputFileName = (char*) malloc(strlen(inputFileName) + 1);
-       strcpy(work->inputFileName, inputFileName);
-
-       if (randomize)
-               work->nbSeries = nbSeriesInChunk;
-       else
-       {
-               double adjustedNbSeriesInNextChunk =
-                       idealNbSeriesInChunk * (jobsSentCount + 1) - lastEndIndex;
-               // round to closest integer
-               work->nbSeries = (uint32_t)adjustedNbSeriesInNextChunk;
-               // stay below the upper bound (TODO: is this check required ?)
-               if (work->nbSeries > nbSeriesInChunk)
-                       work->nbSeries = nbSeriesInChunk;
-               // TODO: what about this one ? (probably useless)
-               if (lastEndIndex + work->nbSeries > nbSeries)
-                       work->nbSeries = nbSeries - lastEndIndex;
-       }
-
-       //TODO: ranks on uint64_t if more than 4.3 billion series at the same place (unlikely...)
-       work->ranks = (uint32_t*) malloc(work->nbSeries * sizeof(uint32_t));
-       for (uint32_t i = 0; i < work->nbSeries; i++)
-               work->ranks[i] = (randomize ? get_rand_int() % nbSeries : lastEndIndex + i);
-
-       work->nbClusters = nbClusters;
-       work->clustOnMedoids = clustOnMedoids;
-       work->p_for_dissims = p_for_dissims;
-
-       return work;
-}
-
-// process all subtasks and save binary results into a new file
-// NOTE: this file will be smaller than initial file (or DB...)
-static void clusters_reduce(char* inputFileName, char* outputFileName, uint32_t ntasks,
-       uint32_t totalNbSeries, uint32_t nbSeriesInChunk, double idealNbSeriesInChunk,
-       uint32_t tsLength, uint32_t nbClusters, uint32_t clustOnMedoids, 
-       int randomize, uint32_t p_for_dissims)
-{
-       FILE* ofile = fopen(outputFileName, "wb"); //'write binary'
-       // Leave a blank for series' count and tsLength
-       for (uint32_t i = 0; i < 8; i++)
-               fputc(0, ofile);
-       fclose(ofile);
-
-       uint32_t jobsSentCount = 0; //used if randomize==FALSE
-       uint32_t lastEndIndex = 0; //used if randomize==FALSE
-
-       uint32_t sentSeriesCount = 0; //used if randomize==TRUE
-
-       // Count series sent to binary file on output
-       uint32_t newSeriesCount = 0;
-
-       // Expected size of a Work message in bytes:
-       uint32_t work_message_length = get_packedWork_length(nbSeriesInChunk);
-       Byte packedWork[work_message_length];
-
-       // Expected size of a Result message in bytes: (uint32_t is on 4 bytes)
-       uint32_t result_message_length = 4 + 4 * nbClusters + 4 * nbClusters;
-       Byte packedResult[result_message_length];
-
-       // Seed the slaves; send one unit of work to each slave.
-       Work_t* work;
-       int* busy_slave = (int*) malloc(ntasks * sizeof(int));
-       for (int rank = 1; rank < ntasks; rank++)
-               busy_slave[rank] = 0;
-       for (int rank = 1; rank < ntasks; rank++)
-       {
-               // Find the next item of work to do
-               work = get_next_work(inputFileName, totalNbSeries, nbSeriesInChunk, idealNbSeriesInChunk,
-                       jobsSentCount, lastEndIndex, nbClusters, clustOnMedoids, 
-                       randomize, p_for_dissims);
-
-               if (randomize)
-                       sentSeriesCount += nbSeriesInChunk;
-               else
-               {
-                       lastEndIndex = lastEndIndex + work->nbSeries;
-                       jobsSentCount++;
-               }
-
-               // Send it to current rank
-               pack_work(work, nbSeriesInChunk, packedWork);
-               free_work(work);
-               fprintf(stdout, "0 / Send work %s to rank=%i / %u\n",inputFileName, rank, 
-                       (randomize ? sentSeriesCount : lastEndIndex));
-               MPI_Send(packedWork, work_message_length, MPI_BYTE, rank, WORKTAG, MPI_COMM_WORLD);
-
-               busy_slave[rank] = 1;
-
-               if ((randomize && sentSeriesCount >= 1.5*totalNbSeries) //TODO: 1.5 = heuristic, magic number...
-                       || (!randomize && lastEndIndex >= totalNbSeries))
-               {
-                       // Nothing more to read
-                       break;
-               }
-       }
-
-       // Loop over getting new work requests until there is no more work to be done
-       Result_t* result;
-       MPI_Status status;
-       while (1)
-       {
-               // If no slave is active, job is over
-               int atLeastOneSlaveActive = 0;
-               for (int rank = 1; rank < ntasks; rank++)
-               {
-                       if (busy_slave[rank])
-                       {
-                               atLeastOneSlaveActive = 1;
-                               break;
-                       }
-               }
-               if (!atLeastOneSlaveActive)
-                       break;
-
-               // Receive results from a slave
-               MPI_Recv(packedResult, result_message_length, MPI_BYTE, MPI_ANY_SOURCE,
-                       WORKTAG, MPI_COMM_WORLD, &status);
-               result = unpack_result(packedResult);
-               fprintf(stdout, "0 / Receive result from rank=%i on %s\n",status.MPI_SOURCE,inputFileName);
-
-               // 'binarize' the result (only series' values) returned by the slave
-               binaryResult_to_file(result, inputFileName, outputFileName);
-               free_result(result);
-               newSeriesCount += nbClusters;
-
-               if ((randomize && sentSeriesCount < totalNbSeries)
-                       || (!randomize && lastEndIndex < totalNbSeries))
-               {
-                       // Get the next unit of work to be done
-                       work = get_next_work(inputFileName, totalNbSeries, nbSeriesInChunk,
-                               idealNbSeriesInChunk, jobsSentCount, lastEndIndex, nbClusters, 
-                               clustOnMedoids, randomize, p_for_dissims);
-
-                       if (randomize)
-                               sentSeriesCount += nbSeriesInChunk;
-                       else
-                       {
-                               lastEndIndex = lastEndIndex + work->nbSeries;
-                               jobsSentCount++;
-                       }
-
-                       // Send the slave a new work unit
-                       pack_work(work, nbSeriesInChunk, packedWork);
-                       free_work(work);
-                       fprintf(stdout, "0 / Send work %s to rank=%i / %u\n",inputFileName, status.MPI_SOURCE, 
-                               (randomize ? sentSeriesCount : lastEndIndex));
-                       MPI_Send(packedWork, work_message_length, MPI_BYTE,
-                               status.MPI_SOURCE, WORKTAG, MPI_COMM_WORLD);
-               }
-
-               else
-                       // No more work to do
-                       busy_slave[status.MPI_SOURCE] = 0;
-       }
-
-       // There's no more work to be done, so receive all results from the slaves.
-       for (int rank = 1; rank < ntasks; rank++)
-       {
-               if (busy_slave[rank])
-               {
-                       MPI_Recv(packedResult, result_message_length, MPI_BYTE,
-                               rank, WORKTAG, MPI_COMM_WORLD, &status);
-                       result = unpack_result(packedResult);
-
-                       // 'binarize' the result (only series' values) returned by the slave
-                       binaryResult_to_file(result, inputFileName, outputFileName);
-                       free_result(result);
-                       newSeriesCount += nbClusters;
-               }
-       }
-       free(busy_slave);
-
-       // Finalize output file: write total number of series inside it, and tsLength
-       ofile = fopen(outputFileName, "r+b"); //read and write, binary
-       fseek(ofile, 0, SEEK_SET);
-       Byte intBuffer[4];
-       write_int(newSeriesCount, intBuffer);
-       fwrite(intBuffer, 1, 4, ofile);
-       write_int(tsLength, intBuffer);
-       fwrite(intBuffer, 1, 4, ofile);
-       fclose(ofile);
-}
-
-// generate random temporary file names
-static char* get_unique_name()
-{
-       size_t nbDigits = 7; //rather arbitrary
-       size_t stringLength = 5 + nbDigits; //5 for '.tmp/'
-       char* s = (char*) malloc(stringLength + 1);
-       s[0] = '.';
-       s[1] = 't';
-       s[2] = 'm';
-       s[3] = 'p';
-       s[4] = '/';
-       for (int i=0; i<nbDigits; i++)
-               s[5+i] = '0' + get_rand_int() % 10;
-       s[stringLength] = 0;
-       return s;
-}
-
-// code executed by master process
-void master_run(char* mainInputFileName, uint32_t totalNbSeries, uint32_t nbSeriesInChunk,
-       double idealNbSeriesInChunk, uint32_t tsLength, uint32_t nbClusters, 
-       int randomize, uint32_t p_for_dissims)
-{
-       // Basic sanity check: nbClusters must be clearly less than series count per chunk
-       if (10 * nbClusters >= nbSeriesInChunk)
-       {
-               fprintf(stdout, "WARNING: cluster size (%u) may be too high compared with chunk size (%u).\n",
-                       nbClusters, nbSeriesInChunk);
-       }
-       
-       // Find out how many processes there are in the default communicator
-       int ntasks;
-       MPI_Comm_size(MPI_COMM_WORLD, &ntasks);
-       if (ntasks <= 1)
-       {
-               fprintf(stderr,"No slaves available (only master running).\n");
-               return;
-       }
-       
-       // initializations
-       char* inputFileName = mainInputFileName;
-       char* outputFileName;
-
-       uint32_t nbSeriesInFile = totalNbSeries;
-
-       while (nbSeriesInFile > nbSeriesInChunk)
-       {
-               outputFileName = get_unique_name();
-               uint32_t clustOnMedoids = (nbSeriesInFile < totalNbSeries ? 1 : 0);
-               clusters_reduce(inputFileName, outputFileName, ntasks, nbSeriesInFile, nbSeriesInChunk,
-                       idealNbSeriesInChunk, tsLength, nbClusters, clustOnMedoids, 
-                       randomize, p_for_dissims);
-
-               // read nbSeries in outputFile
-               nbSeriesInFile = get_nbSeries(outputFileName);
-               
-               // update file names
-               if (strcmp(mainInputFileName, inputFileName) != 0)
-               {
-                       // No need to keep every intermediate binary
-                       unlink(inputFileName);
-                       free(inputFileName);
-               }
-               inputFileName = outputFileName;
-       }
-
-       // read nbSeries in inputFileName (the last one)
-       // we know that there is at most 'nbSeriesInChunk' series in it
-       nbSeriesInFile = get_nbSeries(inputFileName);
-
-       // Expected size of a Work message in bytes:
-       uint32_t work_message_length = get_packedWork_length(nbSeriesInChunk);
-       Byte packedWork[work_message_length];
-
-       // Expected size of a Result message in bytes: (uint32_t is on 4 bytes)
-       uint32_t result_message_length = get_packedResult_length(nbClusters);
-       Byte packedResult[result_message_length];
-
-       // Run a last task by some slave, and get final result
-       Work_t* work = get_next_work(inputFileName, nbSeriesInFile, nbSeriesInChunk,
-               (double)nbSeriesInFile, 0, 0, nbClusters, 1, 0, p_for_dissims);
-
-       // Send the slave a new work unit
-       pack_work(work, nbSeriesInChunk, packedWork);
-       free_work(work);
-       int selectedSlaveRank = get_rand_int() % (ntasks - 1) + 1;
-       fprintf(stdout, "0 / Send final work %s to rank=%i / %u\n", 
-               inputFileName, selectedSlaveRank, nbSeriesInFile);
-       MPI_Send(packedWork, work_message_length, MPI_BYTE, selectedSlaveRank,
-               WORKTAG, MPI_COMM_WORLD);
-
-       MPI_Status status;
-       // Wait for him to finish
-       MPI_Recv(packedResult, result_message_length, MPI_BYTE, selectedSlaveRank,
-                       WORKTAG, MPI_COMM_WORLD, &status);
-       Result_t* finalResult = unpack_result(packedResult);
-       fprintf(stdout, "0 / Receive final result from rank=%i on %s\n",status.MPI_SOURCE,inputFileName);
-
-       //Tell all the slaves to exit by sending an empty message with the DIETAG.
-       for (int rank = 1; rank < ntasks; ++rank)
-               MPI_Send(0, 0, MPI_BYTE, rank, DIETAG, MPI_COMM_WORLD);
-
-       const char finalBinaryName[] = "ppamFinalSeries.bin";
-       result_to_XML(finalResult, inputFileName, finalBinaryName, p_for_dissims);
-       free_result(finalResult);
-
-       // free memory
-       if (strcmp(mainInputFileName, inputFileName))
-       {
-               // Keep last input binary, but rename it
-               rename(inputFileName, finalBinaryName);
-               free(inputFileName);
-       }
-       else
-       {
-               // just symlink mainInputFileName
-               if (!access(finalBinaryName, F_OK))
-                       unlink(finalBinaryName);
-               if (symlink(mainInputFileName, finalBinaryName))
-                       fprintf(stderr,"Cannot create symlink to initial binary file.\n");
-       }
-}

diff --git a/old_C_code/stage1/src/MPI_Main/master.h b/old_C_code/stage1/src/MPI_Main/master.h
deleted file mode 100644 (file)
index 397ea59..0000000
--- a/old_C_code/stage1/src/MPI_Main/master.h
+++ /dev/null
@@ -1,11 +0,0 @@
-#ifndef PPAM_MASTER_H
-#define PPAM_MASTER_H
-
-#include <stdint.h>
-
-// code executed by master process
-void master_run(char* fileName, uint32_t totalNbSeries, uint32_t nbSeriesInChunk,
-       double idealNbSeriesInChunk, uint32_t tsLength, uint32_t nbClusters, 
-       int randomize, uint32_t p_for_dissims);
-
-#endif

diff --git a/old_C_code/stage1/src/MPI_Main/slave.c b/old_C_code/stage1/src/MPI_Main/slave.c
deleted file mode 100644 (file)
index d7d0afe..0000000
--- a/old_C_code/stage1/src/MPI_Main/slave.c
+++ /dev/null
@@ -1,111 +0,0 @@
-#include "Util/types.h"
-#include "Util/utils.h"
-#include "TimeSeries/deserialize.h"
-#include "Algorithm/compute_coefficients.h"
-#include "Algorithm/get_dissimilarities.h"
-#include "Algorithm/pam.h"
-#include <mpi.h>
-#include <stdio.h>
-#include <math.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include "MPI_Communication/unpack.h"
-#include "MPI_Communication/pack.h"
-
-// main job done by a slave: 
-static Result_t* do_work(Work_t* work)
-{
-       // *** Step 1 *** 
-       // Obtain reduced coordinates matrix from time-series.
-       
-       uint32_t nbSeries = work->nbSeries;
-       uint32_t tsLength = get_tsLength(work->inputFileName);
-       uint32_t nbValues = (tsLength - 4) / 4;
-       
-       // nbReducedCoordinates = smallest power of 2 which is above nbValues
-       uint32_t nbReducedCoordinates = (uint32_t)ceil(log2(nbValues));
-       float* reducedCoordinates = (float*) malloc(nbSeries * nbReducedCoordinates * sizeof(float));
-
-       // call preprocessing with the rows of raw power values matrix.
-       // Keep the IDs in memory for further processing.
-       uint32_t* IDs = (uint32_t*)malloc(nbSeries*sizeof(uint32_t));
-       for (uint32_t i = 0; i < nbSeries; i+=CURVES_PER_REQUEST)
-       {
-               uint32_t nbCurvesRetrieved = CURVES_PER_REQUEST;
-               if (i + nbCurvesRetrieved > nbSeries) 
-                       nbCurvesRetrieved -= (i + nbCurvesRetrieved - nbSeries);
-               PowerCurve* powerCurves = 
-                       deserialize(work->inputFileName, NULL, work->ranks + i, nbCurvesRetrieved);
-               compute_coefficients(powerCurves, nbCurvesRetrieved, nbValues, 
-                       reducedCoordinates, i, nbReducedCoordinates);
-               for (uint32_t ii=i; ii<i+nbCurvesRetrieved; ii++)
-               {
-                       IDs[ii] = powerCurves[ii-i].ID;
-                       free(powerCurves[ii-i].values);
-               }
-               free(powerCurves);
-       }
-
-       // *** Step 2 ***
-       // Run PAM algorithm on the dissimilarity matrix computed from 'reducedCoordinates'.
-       
-       float* dissimilarities = get_dissimilarities_intra(
-               reducedCoordinates, nbSeries, nbReducedCoordinates, work->p_for_dissims);
-       free(reducedCoordinates);
-
-       uint32_t nbClusters = work->nbClusters;
-       Result_t* result = (Result_t*) malloc(sizeof(Result_t));
-       result->medoids_ID = (uint32_t*) malloc(nbClusters * sizeof(uint32_t));
-       result->medoids_ranks = (uint32_t*) malloc(nbClusters * sizeof(uint32_t));
-       result->nbClusters = nbClusters;
-
-       // Run PAM algorithm to fill result->medoids_ranks
-       pam(dissimilarities, nbSeries, nbClusters, work->clustOnMedoids, NSTART, MAXITER, result);
-       free(dissimilarities);
-       
-       // Deduce medoids_IDs from indices
-       for (uint32_t i = 0; i < nbClusters; i++)
-               result->medoids_ID[i] = IDs[result->medoids_ranks[i]];
-       free(IDs);
-
-       // return medoids IDs, indices and items labels (to be post-processed)
-       return result;
-}
-
-// code executed by slave process
-void slave_run(int myrank, uint32_t nbSeriesInChunk, uint32_t nbClusters)
-{
-       Work_t* work;
-       Result_t* result;
-       MPI_Status status;
-
-       // Expected size of a Work message in bytes:
-       uint32_t work_message_length = get_packedWork_length(nbSeriesInChunk);
-       Byte packedWork[work_message_length];
-
-       // Expected size of a Result message in bytes: (uint32_t is on 4 bytes)
-       uint32_t result_message_length = get_packedResult_length(nbClusters);
-       Byte packedResult[result_message_length];
-
-       while (1)
-       {
-               // Receive a message from the master
-               MPI_Recv(packedWork, work_message_length, MPI_BYTE, 0,
-                       MPI_ANY_TAG, MPI_COMM_WORLD, &status);
-
-               // Check the tag of the received message.
-               if (status.MPI_TAG == DIETAG)
-                       return;
-
-               // Do the work
-               work = unpack_work(packedWork, nbSeriesInChunk);
-               fprintf(stdout, "%u / Slave pid=%u work on %s\n",myrank,getpid(),work->inputFileName);
-               result = do_work(work);
-               free_work(work);
-
-               // Send the result back
-               pack_result(result, packedResult);
-               free_result(result);
-               MPI_Send(packedResult, result_message_length, MPI_BYTE, 0, WORKTAG, MPI_COMM_WORLD);
-       }
-}

diff --git a/old_C_code/stage1/src/MPI_Main/slave.h b/old_C_code/stage1/src/MPI_Main/slave.h
deleted file mode 100644 (file)
index b5ef443..0000000
--- a/old_C_code/stage1/src/MPI_Main/slave.h
+++ /dev/null
@@ -1,9 +0,0 @@
-#ifndef PPAM_SLAVE_H
-#define PPAM_SLAVE_H
-
-#include <stdint.h>
-
-// code executed by slave process
-void slave_run(int myrank, uint32_t nbSeriesInChunk, uint32_t nbClusters);
-
-#endif

diff --git a/old_C_code/stage1/src/TimeSeries/deserialize.c b/old_C_code/stage1/src/TimeSeries/deserialize.c
deleted file mode 100644 (file)
index e142fe3..0000000
--- a/old_C_code/stage1/src/TimeSeries/deserialize.c
+++ /dev/null
@@ -1,81 +0,0 @@
-#include "TimeSeries/deserialize.h"
-#include <stdio.h>
-#include "Util/utils.h"
-
-// Deserialize a portion of a binary file into an array of PowerCurve, or a file
-// WARNING: NO start bytes, NO date times (all series have the same length, at same times).
-PowerCurve* deserialize(const char* ifileName, const char* ofileName,
-       uint32_t* ranks, uint32_t nbRanks)
-{
-       // Read tsLength at the beginning of the file
-       uint32_t tsLength = get_tsLength(ifileName);
-       
-       uint32_t valuesPerSerie = (tsLength - 4) / 4; //remove 4 bytes of ID
-
-       FILE* ifile = fopen(ifileName, "rb");
-       FILE* ofile = NULL;
-       if (ofileName)
-               ofile = fopen(ofileName, "w");
-       
-       if (!ranks || nbRanks <= 0)
-       {
-               nbRanks = get_nbSeries(ifileName);
-               ranks = NULL;
-       }
-
-       PowerCurve* powerCurves = NULL;
-       if (!ofile)
-               powerCurves = (PowerCurve*) malloc(nbRanks * sizeof(PowerCurve));
-
-       for (uint32_t i = 0; i < nbRanks; i++)
-       {
-               // position to the beginning of current (binarized) time-series
-               // NOTE: shift by 8 bytes, because data size and series length are written first
-               fseek(ifile, 8 + (ranks ? ranks[i] : i) * tsLength, SEEK_SET);
-
-               PowerCurve* powerCurve;
-               if (!ofile)
-               {
-                       powerCurve = powerCurves + i;
-                       powerCurve->values = (float*) malloc(valuesPerSerie * sizeof(float));
-               }
-               
-               // translate 4-bytes binary integer into integer ID
-               void* binaryID = malloc(4);
-               size_t lengthRead = fread(binaryID, 4, 1, ifile);
-               if (lengthRead != 1)
-                       fprintf(stderr,"Warning: deserializing truncated binary file.\n");
-               uint32_t ID = bInt_to_uint((Byte*) binaryID);
-               free(binaryID);
-               if (ofile)
-                       fprintf(ofile, "%u,", ID);
-               else
-                       powerCurve->ID = ID;
-
-               // translate 4-bytes binary integers into float
-               Byte* binarySerie = (Byte*) malloc(4 * valuesPerSerie);
-               lengthRead = fread(binarySerie, 1, 4*valuesPerSerie, ifile);
-               //TODO: assert that lengthRead == 4*valuesPerSerie (...)
-               for (uint32_t i = 0; i < valuesPerSerie; i++)
-               {
-                       float power = bReal_to_float(binarySerie + 4 * i);
-                       if (ofile)
-                       {
-                               fprintf(ofile, "%g", power);
-                               if (i < valuesPerSerie-1)
-                                       fprintf(ofile, ",");
-                       }
-                       else
-                               powerCurve->values[i] = power;
-               }
-               free(binarySerie);
-               if (ofile)
-                       fprintf(ofile, "\n");
-       }
-
-       fclose(ifile);
-       if (ofile)
-               fclose(ofile);
-
-       return powerCurves;
-}

diff --git a/old_C_code/stage1/src/TimeSeries/deserialize.h b/old_C_code/stage1/src/TimeSeries/deserialize.h
deleted file mode 100644 (file)
index aa6a3d6..0000000
--- a/old_C_code/stage1/src/TimeSeries/deserialize.h
+++ /dev/null
@@ -1,12 +0,0 @@
-#ifndef PPAM_DESERIALIZE_H
-#define PPAM_DESERIALIZE_H
-
-#include <stdint.h>
-#include <stdlib.h>
-#include "Util/types.h"
-
-// deserialize a portion of a binary file into an array of PowerCurve
-PowerCurve* deserialize(const char* ifileName, const char* ofileName,
-       uint32_t* ranks, uint32_t nbRanks);
-
-#endif

diff --git a/old_C_code/stage1/src/TimeSeries/serialize.c b/old_C_code/stage1/src/TimeSeries/serialize.c
deleted file mode 100644 (file)
index ba52c87..0000000
--- a/old_C_code/stage1/src/TimeSeries/serialize.c
+++ /dev/null
@@ -1,284 +0,0 @@
-#include "TimeSeries/serialize.h"
-#define __STDC_FORMAT_MACROS
-#include <inttypes.h>
-#include <math.h>
-#include "Util/types.h"
-#include "Util/utils.h"
-#include <cgds/Vector.h>
-#include <string.h>
-
-// parse a line into two integers (ID, raw power)
-static void scan_line(FILE* ifile, int posID, uint32_t* ID, int posPower, float* rawPower)
-{
-       char nextChar;
-       int position = 1;
-       while (1)
-       {
-               if (position == posID)
-               {
-                       int64_t ID_on64bits;
-                       nextChar = readInt(ifile, &ID_on64bits);
-                       *ID = (uint32_t)ID_on64bits;
-               }
-               else if (position == posPower)
-               {
-                       float power;
-                       nextChar = readReal(ifile, &power);
-                       *rawPower = (float) power;
-               }
-               else
-                       //erase the comma (and skip field then)
-                       nextChar = fgetc(ifile);
-
-               //continue until next comma (or line end or file end)
-               while (!feof(ifile) && nextChar != '\n' && nextChar != '\r' && nextChar != ',')
-                       nextChar = fgetc(ifile);
-               position++;
-
-               if (feof(ifile) || nextChar == '\n' || nextChar == '\r')
-               {
-                       // skip all potential line feeds
-                       while (!feof(ifile) && nextChar == '\n' || nextChar == '\r')
-                               nextChar = fgetc(ifile);
-                       if (!feof(ifile))
-                               ungetc(nextChar, ifile);
-                       break;
-               }
-       }
-}
-
-//main job: parse a text file into a binary compressed version
-//TODO [long term]: adapt to distributed files/DB, maybe to distributed binary chunks
-void serialize_byCols(const char* ifileName, const char* ofileName, uint32_t nbItems)
-{
-       // use the header to know positions of ID and rawPower
-       FILE* ifile = fopen(ifileName, "r");
-       uint32_t headerShift = 0;
-       char curChar;
-       Vector* header = vector_new(char);
-       do
-       {
-               curChar = fgetc(ifile);
-               headerShift++;
-               if (curChar == '\n' || curChar == '\r')
-               {
-                       //flush all potential other line feeds
-                       while (curChar == '\n' || curChar == '\r')
-                               curChar = fgetc(ifile);
-                       ungetc(curChar, ifile);
-                       break;
-               }
-               vector_push(header, curChar);
-       }
-       while (1);
-       char* headerString = (char*)malloc((vector_size(header) + 1)*sizeof(char));
-       VectorIterator* it = vector_get_iterator(header);
-       int index = 0;
-       while (vectorI_has_data(it))
-       {
-               vectorI_get(it, headerString[index]);
-               vectorI_move_next(it);
-               index++;
-       }
-       vectorI_destroy(it);
-       headerString[index] = 0;
-       vector_destroy(header);
-       int position = 1, posID = 0, posPower = 0;
-       char* columnDescriptor = strtok(headerString, ",");
-       while (columnDescriptor != NULL)
-       {
-               if (!strcmp(columnDescriptor,"FK_CCU_ID") || !strcmp(columnDescriptor,"fk_ccu_id"))
-                       posID = position;
-               else if (!strcmp(columnDescriptor,"CPP_PUISSANCE_BRUTE"))
-                       posPower = position;
-               position++;
-               columnDescriptor = strtok(NULL, ",");
-       }
-       free(headerString);
-       
-       //estimate tsLength with a scan of the 3 first series
-       uint32_t ID=0, lastID=0, refTsLength=0;
-       float rawPower = 0.0;
-       scan_line(ifile, posID, &ID, posPower, &rawPower);
-       //'sl' = sample lengths (short because a lot of comparisons then)
-       uint32_t* sl = (uint32_t*) calloc(3, sizeof(uint32_t));
-       for (int i=0; i<3; i++)
-       {
-               lastID = ID;
-               while (ID == lastID)
-               {
-                       sl[i]++;
-                       scan_line(ifile, posID, &ID, posPower, &rawPower);
-               }
-       }
-       if (sl[1] <= sl[0] <= sl[2] || sl[2] <= sl[0] <= sl[1])
-               refTsLength = sl[0];
-       else if (sl[0] <= sl[1] <= sl[2] || sl[2] <= sl[1] <= sl[0])
-               refTsLength = sl[1];
-       else
-               refTsLength = sl[2];
-       free(sl);
-       //go back at the beginning of the first series (ready to read '\n'...)
-       fseek(ifile, headerShift-1, SEEK_SET);
-
-       // output file to write time-series sequentially, binary format.
-       // Format: for each series, ID is stored on 4 bytes (unsigned integer32). Then,
-       //         (<rawPower>)+ follow, with rawPower stored as a float
-       FILE* ofile = fopen(ofileName, "wb");
-
-       // leave space to write the number of series (32bits), and their length in bytes (32bits)
-       for (int i = 0; i < 8; i++)
-               fputc(0, ofile);
-
-       // process one client (ID in first column) at a time
-       uint64_t processedLines = 0; //execution trace
-       uint32_t seriesCount=0, skippedSeriesCount=0, tsLength=0;
-       uint32_t mismatchLengthCount=0;
-       Byte tsBuffer[4+4*refTsLength];
-       lastID = 0;
-       while (!feof(ifile))
-       {
-               // next element to read always start with a digit
-               do
-                       curChar = fgetc(ifile);
-               while (!feof(ifile) && (curChar < '0' || curChar > '9'));
-               if (feof(ifile))
-                       break;
-               ungetc(curChar, ifile);
-
-               // read line
-               scan_line(ifile, posID, &ID, posPower, &rawPower);
-               if (ID != lastID)
-               {
-                       //just starting a new time-series: must process the last one (if there is a last one !)
-                       if (lastID > 0)
-                       {
-                               if (tsLength == refTsLength)
-                               {
-                                       seriesCount++;
-                                       fwrite(tsBuffer, 4+4*tsLength, 1, ofile);
-                                       if (nbItems > 0 && seriesCount >= nbItems)
-                                               break;
-                               }
-                               //if something wrong happened, skip series
-                               else
-                               {
-                                       skippedSeriesCount++;
-                                       if (tsLength != refTsLength)
-                                               mismatchLengthCount++;
-                               }
-                       }
-
-                       // ID for the new series is printed only once:
-                       write_int(ID, tsBuffer);
-                       // reinitialize flags
-                       tsLength = 0;
-                       lastID = ID;
-               }
-
-               //We cannot write more than refTsLength bytes
-               if (tsLength < refTsLength)
-                       write_real(rawPower, tsBuffer + 4+4*tsLength);
-               tsLength++;
-
-               if ((++processedLines) % 1000000 == 0)
-                       fprintf(stdout,"Processed %"PRIu64" lines\n", processedLines);
-       }
-
-       if (tsLength == refTsLength && (nbItems <= 0 || seriesCount < nbItems))
-       {
-               // flush last time-series if all conditions are met
-               fwrite(tsBuffer, 4+4*tsLength, 1, ofile);
-               seriesCount++;
-       }
-       else if (nbItems <= 0 || seriesCount < nbItems)
-       {
-               if (tsLength != refTsLength)
-                       mismatchLengthCount++;
-       }
-
-       // write lines count and size of a time-series in bytes
-       Byte intBuffer[4];
-       fseek(ofile, 0, SEEK_SET);
-       write_int(seriesCount, intBuffer);
-       fwrite(intBuffer, 1, 4, ofile);
-       // re-express tsLength in bytes (not forgetting the ID))
-       write_int(4 + 4 * refTsLength, intBuffer);
-       fwrite(intBuffer, 1, 4, ofile);
-
-       // finally print some statistics
-       if (seriesCount < nbItems)
-               fprintf(stdout,"Warning: only %u series retrieved.\n",seriesCount);
-       fprintf(stdout,"%u mismatch series lengths.\n",mismatchLengthCount);
-
-       fclose(ifile);
-       fclose(ofile);
-}
-
-//serialize from usual 'by-row' data
-void serialize_byRows(const char* ifileName, const char* ofileName, uint32_t nbItems)
-{
-       FILE* ifile = fopen(ifileName, "r");
-       // first scan to know dimensions
-       uint32_t nbValues = 0; //ID (or, more useful, real class number) comes first
-       char curChar = ' ';
-       while (curChar != '\n' && curChar != '\r')
-       {
-               curChar = fgetc(ifile);
-               if (curChar == ',')
-               {
-                       nbValues++;
-                       //skip potential consecutive commas (could be hard to spot)
-                       //TODO(...): should be 'NA' in R, thus an error (we don't handle NAs)...
-                       while (curChar == ',')
-                               curChar = fgetc(ifile);
-                       ungetc(curChar, ifile);
-               }
-       }
-       while (curChar == '\n' || curChar == '\r')
-               curChar = fgetc(ifile);
-       ungetc(curChar, ifile);
-       uint32_t nbSeries = 1; //we already read 1st line
-       while (!feof(ifile))
-       {
-               if ((curChar = fgetc(ifile)) == '\n')
-                       nbSeries++;
-       }
-       fseek(ifile, 0, SEEK_SET);
-
-       //write meta info first
-       uint32_t tsLength = 4*nbValues+4;
-       FILE* ofile = fopen(ofileName, "wb");
-       Byte intBuffer[4];
-       write_int(nbSeries, intBuffer);
-       fwrite(intBuffer, 1, 4, ofile);
-       write_int(tsLength, intBuffer);
-       fwrite(intBuffer, 1, 4, ofile);
-       float rawPower;
-       int64_t ID;
-
-       for (uint32_t i=0; i<nbSeries; i++)
-       {
-               //skip potential line feeds before next line
-               while (curChar == '\n' || curChar == '\r')
-                       curChar = fgetc(ifile);
-               ungetc(curChar, ifile);
-               curChar = readInt(ifile, &ID);
-               write_int((uint32_t)ID, intBuffer);
-               fwrite(intBuffer, 1, 4, ofile);
-               while (curChar == ',')
-                       curChar = fgetc(ifile);
-               ungetc(curChar, ifile);
-               for (uint32_t j=0; j<nbValues; j++)
-               {
-                       curChar = readReal(ifile, &rawPower);
-                       write_real(rawPower, intBuffer);
-                       fwrite(intBuffer, 1, 4, ofile);
-                       while (curChar == ',')
-                               curChar = fgetc(ifile);
-                       ungetc(curChar, ifile);
-               }
-       }
-       fclose(ifile);
-       fclose(ofile);
-}

diff --git a/old_C_code/stage1/src/TimeSeries/serialize.h b/old_C_code/stage1/src/TimeSeries/serialize.h
deleted file mode 100644 (file)
index af89cae..0000000
--- a/old_C_code/stage1/src/TimeSeries/serialize.h
+++ /dev/null
@@ -1,14 +0,0 @@
-#ifndef PPAM_SERIALIZE_H
-#define PPAM_SERIALIZE_H
-
-#include <stdlib.h>
-#include <stdio.h>
-#include <stdint.h>
-
-//main job: parse a text file into a binary compressed version
-void serialize_byCols(const char* ifileName, const char* ofileName, uint32_t nbItems);
-
-//serialize from usual 'by-row' data
-void serialize_byRows(const char* ifileName, const char* ofileName, uint32_t nbItems);
-
-#endif

diff --git a/old_C_code/stage1/src/Util/rng.c b/old_C_code/stage1/src/Util/rng.c
deleted file mode 100644 (file)
index 2933174..0000000
--- a/old_C_code/stage1/src/Util/rng.c
+++ /dev/null
@@ -1,135 +0,0 @@
-// ISAAC PRNG
-// Initial code by Bob Jenkins, March 1996 - modified in 2008
-// Reference: http://burtleburtle.net/bob/rand/isaacafa.html
-// Further slightly modified by Benjamin Auder, 2013
-
-#include "Util/rng.h"
-#include <stdlib.h>
-#include <time.h>
-
-// Internal state
-static uint32_t mm[256];
-static uint32_t aa, bb, cc;
-
-// initialize the (pseudo-)random generator
-void init_rng(int flag)
-{
-       // 'bootstrap' isaac with basic bad PRNG
-       srand(time(NULL));
-
-       aa = rand() & 0xffffffff;
-       bb = rand() & 0xffffffff;
-       cc = rand() & 0xffffffff;
-
-       uint32_t a, b, c, d, e, f, g, h, i;
-       // The golden ratio:
-       a = b = c = d = e = f = g = h = 0x9e3779b9;
-       // Scramble it
-       for (i = 0; i < 4; ++i)
-               mix(a, b, c, d, e, f, g, h);
-
-       // Fill in mm[] with messy stuff (the seed)
-       uint32_t seedArray[256];
-       for (i = 0; i < 256; ++i) mm[i] = seedArray[i] = rand() & 0xffffffff;
-       for (i = 0; i < 256; i += 8)
-       {
-               if (flag)
-               {
-                       // Use all the information in the seed
-                       a += seedArray[i  ];
-                       b += seedArray[i + 1];
-                       c += seedArray[i + 2];
-                       d += seedArray[i + 3];
-                       e += seedArray[i + 4];
-                       f += seedArray[i + 5];
-                       g += seedArray[i + 6];
-                       h += seedArray[i + 7];
-               }
-               mix(a, b, c, d, e, f, g, h);
-               mm[i  ] = a;
-               mm[i + 1] = b;
-               mm[i + 2] = c;
-               mm[i + 3] = d;
-               mm[i + 4] = e;
-               mm[i + 5] = f;
-               mm[i + 6] = g;
-               mm[i + 7] = h;
-       }
-
-       if (flag)
-       {
-               // Do a second pass to make all of the seed affect all of mm
-               for (i = 0; i < 256; i += 8)
-               {
-                       a += mm[i  ];
-                       b += mm[i + 1];
-                       c += mm[i + 2];
-                       d += mm[i + 3];
-                       e += mm[i + 4];
-                       f += mm[i + 5];
-                       g += mm[i + 6];
-                       h += mm[i + 7];
-                       mix(a, b, c, d, e, f, g, h);
-                       mm[i  ] = a;
-                       mm[i + 1] = b;
-                       mm[i + 2] = c;
-                       mm[i + 3] = d;
-                       mm[i + 4] = e;
-                       mm[i + 5] = f;
-                       mm[i + 6] = g;
-                       mm[i + 7] = h;
-               }
-       }
-}
-
-// return a (pseudo-)random integer
-uint32_t get_rand_int()
-{
-       // TODO: register variables ? (x,y,i)
-       uint32_t x, y;
-       static uint32_t i = 0;
-
-       if (i == 0)
-       {
-               cc = cc + 1;  // cc just gets incremented once per 256 results
-               bb = bb + cc; // then combined with bb
-       }
-
-       x = mm[i];
-       switch (i % 4)
-       {
-       case 0:
-               aa = aa^(aa << 13);
-               break;
-       case 1:
-               aa = aa^(aa >> 6);
-               break;
-       case 2:
-               aa = aa^(aa << 2);
-               break;
-       case 3:
-               aa = aa^(aa >> 16);
-               break;
-       }
-
-       // NOTE: bits 2..9 are chosen from x but 10..17 are chosen
-       //       from y.  The only important thing here is that 2..9 and 10..17
-       //       don't overlap.  2..9 and 10..17 were then chosen for speed in
-       //       the optimized version (rand.c) */
-       // See http://burtleburtle.net/bob/rand/isaac.html
-       // for further explanations and analysis.
-
-       aa        = mm[(i + 128) % 256] + aa;
-       mm[i] = y = mm[(x >> 2) % 256]  + aa + bb;
-       bb        = mm[(y >> 10) % 256] + x;
-
-       i = (i + 1) % 256;
-
-       return bb;
-}
-
-// return a (pseudo-)random real number in [0,1]
-float get_rand_real()
-{
-       return (float) (INV_RANDMAX * (double) get_rand_int());
-}

diff --git a/old_C_code/stage1/src/Util/rng.h b/old_C_code/stage1/src/Util/rng.h
deleted file mode 100644 (file)
index 371ff27..0000000
--- a/old_C_code/stage1/src/Util/rng.h
+++ /dev/null
@@ -1,33 +0,0 @@
-#ifndef PPAM_RNG_H
-#define PPAM_RNG_H
-
-#include <stdint.h>
-#include "Util/types.h"
-
-#define INV_RANDMAX 2.3283064370807974E-10 // 1/0xffffffff
-
-// If (flag!=0), then use a random array to initialize mm[]
-#define mix(a,b,c,d,e,f,g,h)  \
-{                             \
-       a^=b<<11; d+=a; b+=c;     \
-       b^=c>>2;  e+=b; c+=d;     \
-       c^=d<<8;  f+=c; d+=e;     \
-       d^=e>>16; g+=d; e+=f;     \
-       e^=f<<10; h+=e; f+=g;     \
-       f^=g>>4;  a+=f; g+=h;     \
-       g^=h<<8;  b+=g; h+=a;     \
-       h^=a>>9;  c+=h; a+=b;     \
-}
-
-// initialize the (pseudo-)random generator
-// NOTE: flag has only two states, active or not.
-//       flag != 0 --> "maximal randomness"
-void init_rng(int flag);
- 
-// return a (pseudo-)random integer
-uint32_t get_rand_int();
-
-// return a (pseudo-)random real number in [0,1]
-float get_rand_real();
-
-#endif

diff --git a/old_C_code/stage1/src/Util/types.h b/old_C_code/stage1/src/Util/types.h
deleted file mode 100644 (file)
index 6b6da6f..0000000
--- a/old_C_code/stage1/src/Util/types.h
+++ /dev/null
@@ -1,44 +0,0 @@
-#ifndef PPAM_TYPES_H
-#define PPAM_TYPES_H
-
-#include <stdint.h>
-
-// types of work given to a slave
-#define WORKTAG 1
-#define DIETAG 2
-
-// 256 characters for file name should be enough
-#define NCHAR_FNAME 256
-
-typedef unsigned char Byte;
-
-// Type to describe a job to be done in a node
-//TODO: merge with packed version to avoid extra copy by MPI
-typedef struct Work_t {
-       // "structural" parameters:
-       char* inputFileName;
-       uint32_t nbSeries;
-       uint32_t* ranks;
-       // clustering parameters [to be completed]:
-       uint32_t nbClusters;
-       uint32_t clustOnMedoids; //a boolean, but 1 byte storage would be inefficient
-       uint32_t p_for_dissims;
-} Work_t;
-
-// Type returned by a worker (clusters labels and medoids)
-//TODO: merge with packed version to avoid extra copy by MPI
-typedef struct Result_t {
-       // parameters describing sizes
-       uint32_t nbClusters;
-       // informative parameters:
-       uint32_t* medoids_ID;
-       uint32_t* medoids_ranks;
-} Result_t;
-
-// data structure to store a customer ID + [time-]serie
-typedef struct PowerCurve {
-       uint32_t ID;
-       float* values;
-} PowerCurve;
-
-#endif

diff --git a/old_C_code/stage1/src/Util/utils.c b/old_C_code/stage1/src/Util/utils.c
deleted file mode 100644 (file)
index 91ea075..0000000
--- a/old_C_code/stage1/src/Util/utils.c
+++ /dev/null
@@ -1,138 +0,0 @@
-#include "Util/utils.h"
-#include <math.h>
-#include <cgds/Vector.h>
-
-void free_work(Work_t* work)
-{
-       free(work->inputFileName);
-       free(work->ranks);
-       free(work);
-}
-
-void free_result(Result_t* result)
-{
-       free(result->medoids_ID);
-       free(result->medoids_ranks);
-       free(result);
-}
-
-char readInt(FILE* stream, int64_t* integer)
-{
-       *integer = 0;
-       char curChar = fgetc(stream);
-       int sign = (curChar == '-' ? -1 : 1);
-       while (curChar < '0' || curChar > '9')
-               curChar = fgetc(stream);
-       ungetc(curChar, stream);
-       while ((curChar = fgetc(stream)) >= '0' && curChar <= '9')
-               *integer = 10 * (*integer) + (int64_t) (curChar - '0');
-       (*integer) *= sign;
-       return curChar;
-}
-
-char readReal(FILE* stream, float* real)
-{
-       int64_t integerPart;
-       char nextChar = readInt(stream, &integerPart);
-       int64_t fractionalPart = 0;
-       int countZeros = 0;
-       if (nextChar == '.')
-       {
-               //need to count zeros
-               while ((nextChar = fgetc(stream)) == '0')
-                       countZeros++;
-               if (nextChar >= '0' && nextChar <= '9')
-               {
-                       ungetc(nextChar, stream);
-                       nextChar = readInt(stream, &fractionalPart);
-               }
-       }
-       int64_t exponent = 0;
-       if (nextChar == 'e' || nextChar == 'E')
-               nextChar = readInt(stream, &exponent);
-       int64_t divisorForFractional = pow(10, floor(log10(fractionalPart > 0 ? fractionalPart : 1))+1);
-       *real = ( (float)integerPart 
-               + (integerPart < 0 ? -1 : 1) * (float)fractionalPart/(divisorForFractional*pow(10,countZeros)) )
-                       * pow(10,exponent);
-       return nextChar;
-}
-
-// convert n-bytes binary integers to uint32_t
-uint32_t bInt_to_uint(Byte* pInteger)
-{
-       uint32_t res;
-       memcpy(&res, pInteger, 4);
-       return res;
-}
-
-// serialize integers
-void write_int(uint32_t x, Byte* buffer)
-{
-       union {
-               uint32_t i;
-               char bytes[4];
-       } u;
-       u.i = x;
-       for (size_t i = 0; i < 4; i++)
-               buffer[i] = u.bytes[i];
-}
-
-//WARNING: assuming float is 32bits...
-// convert 4-bytes binary float to float
-float bReal_to_float(Byte* pFloat)
-{
-       float res;
-       memcpy(&res, pFloat, 4);
-       return res;
-}
-
-//WARNING: assuming float is 32bits...
-// serialize double with a NON-portable bytes order
-void write_real(float x, Byte* buffer)
-{
-       union {
-               float d;
-               char bytes[4];
-       } u;
-       u.d = x;
-       for (size_t i = 0; i < 4; i++)
-               buffer[i] = u.bytes[i];
-}
-
-// Expected size of a Work message in bytes:
-uint32_t get_packedWork_length(uint32_t nbSeriesInChunk)
-{
-       return NCHAR_FNAME + 4 + 4*nbSeriesInChunk + 4 + 4 + 4;
-}
-
-// Expected size of a Result message in bytes: (uint32_t is on 4 bytes)
-uint32_t get_packedResult_length(uint32_t nbClusters)
-{
-       return 4 + 4 * nbClusters + 4 * nbClusters;
-}
-
-// get metadata: nbSeries
-uint32_t get_nbSeries(const char* ifileName)
-{
-       FILE* ifile = fopen(ifileName, "rb");
-       fseek(ifile, 0, SEEK_SET);
-       Byte binaryInt[4];
-       size_t lengthRead = fread(binaryInt, 4, 1, ifile);
-       if (lengthRead != 1)
-               fprintf(stderr,"Warning: getting nbSeries from truncated binary file.\n");
-       fclose(ifile);
-       return bInt_to_uint(binaryInt);
-}
-
-// get metadata: tsLength
-uint32_t get_tsLength(const char* ifileName)
-{
-       FILE* ifile = fopen(ifileName, "rb");
-       fseek(ifile, 4, SEEK_SET);
-       Byte binaryInt[4];
-       size_t lengthRead = fread(binaryInt, 4, 1, ifile);
-       if (lengthRead != 1)
-               fprintf(stderr,"Warning: getting tsLength from truncated binary file.\n");
-       fclose(ifile);
-       return bInt_to_uint(binaryInt);
-}

diff --git a/old_C_code/stage1/src/Util/utils.h b/old_C_code/stage1/src/Util/utils.h
deleted file mode 100644 (file)
index 3cb5cd1..0000000
--- a/old_C_code/stage1/src/Util/utils.h
+++ /dev/null
@@ -1,40 +0,0 @@
-#ifndef PPAM_UTIL_UTILS_H
-#define PPAM_UTIL_UTILS_H
-
-#include "Util/types.h"
-#include <stdlib.h>
-#include <stdio.h>
-
-#define CURVES_PER_REQUEST 50
-
-void free_work(Work_t* work);
-
-void free_result(Result_t* result);
-
-char readInt(FILE* stream, int64_t* integer);
-
-char readReal(FILE* stream, float* real);
-
-// convert n-bytes binary integers to uint32_t
-uint32_t bInt_to_uint(Byte* pInteger);
-
-// serialize integers with a portable bytes order
-void write_int(uint32_t integer, Byte* buffer);
-
-float bReal_to_float(Byte* pFloat);
-
-void write_real(float x, Byte* buffer);
-
-// Expected size of a Work message in bytes:
-uint32_t get_packedWork_length(uint32_t nbSeriesInChunk);
-
-// Expected size of a Result message in bytes: (uint32_t is on 4 bytes)
-uint32_t get_packedResult_length(uint32_t nbClusters);
-
-// get metadata: nbSeries
-uint32_t get_nbSeries(const char* ifileName);
-
-// get metadata: tsLength
-uint32_t get_tsLength(const char* ifileName);
-
-#endif

diff --git a/old_C_code/stage1/src/main.c b/old_C_code/stage1/src/main.c
deleted file mode 100644 (file)
index d1f7965..0000000
--- a/old_C_code/stage1/src/main.c
+++ /dev/null
@@ -1,275 +0,0 @@
-#include "MPI_Main/master.h"
-#include "MPI_Main/slave.h"
-#include "Util/utils.h"
-#include "Util/rng.h"
-#include <sys/stat.h>
-#include <mpi.h>
-#include <math.h>
-#include <stdio.h>
-#include "TimeSeries/serialize.h"
-#include "TimeSeries/deserialize.h"
-#include "Classification/getClass.h"
-#include <string.h>
-#include <cgds/Vector.h>
-#include <libxml/xmlreader.h>
-
-// serialize text file argv[1] into a binary file argv[2]
-int serialize_main(int argc, char** argv)
-{
-       const char* ifileName = argv[1];
-       const char* ofileName = argv[2];
-       int byCols = atoi(argv[3]);
-       uint32_t nbItems = atoi(argv[4]); //==0 for "all series"
-       
-       if (byCols)
-               serialize_byCols(ifileName, ofileName, nbItems);
-       else
-               serialize_byRows(ifileName, ofileName, nbItems);
-       return 0;
-}
-
-// deserialize binary file argv[1] into text file argv[2]
-int deserialize_main(int argc, char** argv)
-{
-       const char* ifileName = argv[1];
-       const char* ofileName = argv[2];
-       Vector* vranks = vector_new(uint32_t);
-       //each token is at most two ints (a-b = from a to b included)
-       char* token = strtok(argv[3], ",");
-       int retrieveAll = 0;
-       uint32_t* ranks = NULL;
-       while (token)
-       {
-               //scan token to find middle position of '-' (if any)
-               int minusPos = -1;
-               int tokenLength = strlen(token);
-               //loop starts at index 1 because -N is allowed (and means 'everything')
-               for (int i=1; i<tokenLength; i++)
-               {
-                       if (token[i] == '-')
-                       {
-                               minusPos = i;
-                               break;
-                       }
-               }
-               if (minusPos < 0)
-               {
-                       int64_t rank = (int64_t)atoi(token);
-                       if (rank <= 0)
-                       {
-                               retrieveAll = 1;
-                               break;
-                       }
-                       vector_push(vranks, (uint32_t)rank);
-               }
-               else
-               {
-                       token[minusPos] = 0;
-                       int int1 = atoi(token);
-                       int int2 = atoi(token+minusPos+1);
-                       for (uint32_t i=int1; i<=int2; i++)
-                               vector_push(vranks, i);
-               }
-               token = strtok(NULL, ",");
-       }
-       uint32_t nbRanks = retrieveAll
-               ? 0
-               : vector_size(vranks);
-       if (!retrieveAll)
-       {
-               ranks = (uint32_t*) malloc(nbRanks*sizeof(uint32_t));
-               for (uint32_t i=0; i<nbRanks; i++)
-               {
-                       vector_get(vranks, i, ranks[i]);
-                       ranks[i]--; //re-express on 0...{n-1}
-               }
-       }
-       vector_destroy(vranks);
-       
-       deserialize(ifileName, ofileName, ranks, nbRanks);
-       return 0;
-}
-
-//main clustering task (master or slave)
-int cluster_main(int argc, char **argv)
-{
-       MPI_Init(&argc, &argv);
-
-       char* ifileName = argv[1]; //could be "../data/test.bin"
-       uint32_t nbSeriesInChunk = atoi(argv[2]); //could be 3000
-       uint32_t nbClusters = atoi(argv[3]); //could be 15
-       int randomize = atoi(argv[4]); //boolean
-       uint32_t p_for_dissims = atoi(argv[5]); //1 for L1, 2 for L2, ...etc
-
-       // Get totalNbSeries and tsLength
-       uint32_t totalNbSeries = get_nbSeries(ifileName);
-       uint32_t tsLength = get_tsLength(ifileName);
-
-       // Basic sanity checks
-       if (nbClusters <= 0 || nbSeriesInChunk <= 1)
-       {
-               MPI_Finalize();
-               return 0;
-       }
-       if (nbSeriesInChunk > totalNbSeries)
-               nbSeriesInChunk = totalNbSeries;
-       if (nbClusters > nbSeriesInChunk)
-               nbClusters = nbSeriesInChunk;
-
-       double idealNbSeriesInChunk = 0.0; //unused if randomize == TRUE
-       if (!randomize)
-       {
-               // Adjust nbSeriesInChunk to avoid small remainders.
-               // Each node should have at least nbSeriesInChunk (as given to the function).
-
-               // ==> We seek for the largest N such that (double)totalNbSeries / N >= nbSeriesInChunk
-               uint32_t N = totalNbSeries / nbSeriesInChunk + 1;
-               while ((double)totalNbSeries / N < nbSeriesInChunk) N--;
-               // At this point N>=1 is the solution
-               idealNbSeriesInChunk = (double)totalNbSeries / N;
-               nbSeriesInChunk = ceil(idealNbSeriesInChunk);
-       }
-       
-       // Initialize random generator
-       init_rng(1);
-       
-       // Find out my identity in the default communicator
-       int myrank;
-       MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
-
-       if (myrank == 0)
-       {
-               // create temporary folder for intermediate results
-               mkdir(".tmp", S_IRWXU | S_IRGRP | S_IXGRP | S_IROTH | S_IXOTH);
-               
-               master_run(ifileName, totalNbSeries, nbSeriesInChunk, idealNbSeriesInChunk, 
-                       tsLength, nbClusters, randomize, p_for_dissims);
-       }
-       
-       else
-               slave_run(myrank, nbSeriesInChunk, nbClusters);
-
-       MPI_Finalize();
-       return 0;
-}
-
-//main classification task (using clustering result)
-//NOTE: ifileName == courbes à classer (?!)
-int classif_main(int argc, char** argv)
-{
-       const char* ifileName = argv[1];
-       const char* xmlFileName = argv[2];
-       
-       // 1] load and retrieve info from XML file
-       xmlDoc* doc = xmlReadFile(xmlFileName, NULL, 0);
-
-       // Get the root element node
-       xmlNode* root_element = xmlDocGetRootElement(doc);
-
-       uint32_t p_for_dissims = 0;
-       uint32_t* ranks = NULL;
-       uint32_t nbClusters = 0;
-       char* binFileName;
-       for (xmlNode* cur_node=root_element->children; cur_node; cur_node=cur_node->next) 
-       {
-               if (cur_node->type != XML_ELEMENT_NODE)
-                       continue;
-               if (!strcmp(cur_node->name,"p_for_dissims"))
-                       p_for_dissims = atoi(cur_node->last->content);
-               else if (!strcmp(cur_node->name,"ranks"))
-               {
-                       //first pass: find nbClusters
-                       for (xmlNode* rankNode=cur_node->children; rankNode; rankNode=rankNode->next)
-                       {
-                               if (rankNode->type == XML_ELEMENT_NODE && !strcmp(rankNode->name,"rank"))
-                                       nbClusters++;
-                       }
-                       //second pass: fill ranks (not optimal, but not very important here)
-                       ranks = (uint32_t*) malloc(nbClusters*sizeof(uint32_t));
-                       uint32_t index = 0;
-                       for (xmlNode* rankNode=cur_node->children; rankNode; rankNode=rankNode->next)
-                       {
-                               if (rankNode->type == XML_ELEMENT_NODE && !strcmp(rankNode->name,"rank"))
-                                       ranks[index++] = atoi(rankNode->last->content) - 1;
-                       }
-               }
-               else if (!strcmp(cur_node->name,"file"))
-               {
-                       binFileName = (char*) malloc(strlen(cur_node->last->content)+1);
-                       strcpy(binFileName, cur_node->last->content);
-               }
-       }
-
-       xmlFreeDoc(doc);
-       xmlCleanupParser();
-
-       uint32_t tsLength1 = get_tsLength(ifileName);
-       uint32_t tsLength2 = get_tsLength(binFileName);
-       if (tsLength1 != tsLength2)
-       {
-               fprintf(stderr,"Warning: nbValues do not match. Data will be truncated.\n");
-               if (tsLength1 > tsLength2)
-                       tsLength1 = tsLength2;
-       }
-       uint32_t nbValues = (tsLength1 - 4) / 4;
-
-       // 2] Classify all series by batches of CURVES_PER_REQUEST
-       uint32_t nbSeries = get_nbSeries(ifileName);
-       PowerCurve* medoids = deserialize(binFileName, NULL, ranks, nbClusters);
-       free(binFileName);
-       free(ranks);
-       ranks = (uint32_t*)malloc(CURVES_PER_REQUEST*sizeof(uint32_t));
-
-       uint32_t smallestNonProcessedIndex = 0;
-       double DISTOR = 0.0;
-       FILE* labelsFile = fopen("LABELS", "w");
-       while (smallestNonProcessedIndex < nbSeries)
-       {
-               uint32_t lowerBound = smallestNonProcessedIndex;
-               uint32_t upperBound = smallestNonProcessedIndex + CURVES_PER_REQUEST;
-               if (upperBound > nbSeries)
-                       upperBound = nbSeries;
-               for (uint32_t i=0; i<upperBound-lowerBound; i++)
-                       ranks[i] = lowerBound + i;
-               PowerCurve* data = deserialize(ifileName, NULL, ranks, upperBound-lowerBound);
-               uint32_t* labels = get_class(data, upperBound-lowerBound, medoids, nbClusters,
-                       nbValues, p_for_dissims, &DISTOR);
-               // send labels to LABELS file
-               for (uint32_t i=0; i<upperBound-lowerBound; i++)
-               {
-                       free(data[i].values);
-                       fprintf(labelsFile, "%u\n",labels[i]);
-               }
-               free(data);
-               free(labels);
-               smallestNonProcessedIndex += (upperBound-lowerBound);
-       }
-       fclose(labelsFile);
-       for (uint32_t i=0; i<nbClusters; i++)
-               free(medoids[i].values);
-       free(medoids);
-       free(ranks);
-       fprintf(stdout, "DISTOR = %g\n",DISTOR);
-       return 0;
-}
-
-int main(int argc, char** argv)
-{
-       if (argc <= 1)
-       {
-               fprintf(stderr, "No argument provided. Exit.\n");
-               return 1;
-       }
-       
-       if (!strcmp(argv[1], "serialize"))
-               return serialize_main(argc-1, argv+1);
-       if (!strcmp(argv[1], "deserialize"))
-               return deserialize_main(argc-1, argv+1);
-       if (!strcmp(argv[1], "cluster"))
-               return cluster_main(argc-1, argv+1);
-       if (!strcmp(argv[1], "classif"))
-               return classif_main(argc-1, argv+1);
-
-       fprintf(stderr, "Unknown first argument.\n");
-       return 1;
-}

diff --git a/old_C_code/stage1/src/main.sh b/old_C_code/stage1/src/main.sh
deleted file mode 100644 (file)
index 26cd32f..0000000
--- a/old_C_code/stage1/src/main.sh
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/bin/bash
-#PBS -l walltime=00:05:00
-#PBS -l nodes=2:ppn=8,pmem=1gb
-#PBS -oe .output
-
-WORKDIR="/workdir2/auder/edfclust/code"
-cd $WORKDIR
-
-rm -f .output
-
-saveLibPath=$LD_LIBRARY_PATH
-
-#TODO: CDS as a module
-LD_LIBRARY_PATH=/workdir2/cds/lib:/opt/openmpi/lib:$LD_LIBRARY_PATH
-export LD_LIBRARY_PATH
-
-#TODO: externalize (de)serialization, do not make assumptions on "how is data stored" (...)
-
-# ppam args (in case of clustering) = 
-#   1: path to binary dataset
-#   2: series per processor
-#   3: number of clusters
-#   4: boolean to randomize series sampling
-#   5: type of distance (1 for L1, 2 for L2...)
-
-#TODO: Hybrid MPI+OpenMP
-mpirun -np 16 ppam cluster ../data/2009_first10000.bin 300 7 0 1
-
-LD_LIBRARY_PATH=$saveLibPath
-export LD_LIBRARY_PATH

diff --git a/old_C_code/stage1/test/Algorithm/t.compute_coefficients.c b/old_C_code/stage1/test/Algorithm/t.compute_coefficients.c
deleted file mode 100644 (file)
index 3ef3422..0000000
--- a/old_C_code/stage1/test/Algorithm/t.compute_coefficients.c
+++ /dev/null
@@ -1,100 +0,0 @@
-#include "Algorithm/compute_coefficients.h"
-#include "Util/types.h"
-#include "lut.h"
-#include <math.h>
-#include <stdlib.h>
-
-void t_compute_coefficients1()
-{      
-       uint32_t nbSeries = 3;
-       uint32_t nbValues = 10;
-       Real curves[] =
-       {
-               1.0,2.0,3.0,4.0,1.0,2.0,3.0,4.0,1.0,2.0,
-               3.0,4.0,1.0,2.0,3.0,4.0,1.0,1.0,2.0,3.0,
-               3.0,1.0,0.0,8.0,2.0,4.0,2.0,0.0,3.0,3.0
-       };
-
-       PowerCurve* powerCurves = (PowerCurve*)malloc(nbSeries*sizeof(PowerCurve));
-       for (int i=0; i<nbSeries; i++)
-       {
-               powerCurves[i].ID = i;
-               powerCurves[i].values = curves + i * nbValues;
-       }
-       
-       // Expected energy matrix: (to change...)
-       // 1.2829311 2.8197073 2.7653092 0.5390868
-       // 1.433019 3.319643 2.078569 1.248209
-       // 1.4532363 6.1433038 5.2052217 0.3447528
-       
-       uint32_t nbReducedCoordinates = 4; //2^4 > 10, 2^3 < 10
-       Real* reducedCoordinates = (Real*)malloc(nbSeries * nbReducedCoordinates * sizeof(Real));
-       Real epsilon = 1e-4;
-       compute_coefficients(powerCurves, nbSeries, nbValues, reducedCoordinates, 0, nbReducedCoordinates);
-       free(powerCurves);
-
-       //~ LUT_ASSERT(fabs(reducedCoordinates[0] - 1.2829311) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[1] - 2.8197073) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[2] - 2.7653092) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[3] - 0.5390868) < epsilon);
-//~ 
-       //~ LUT_ASSERT(fabs(reducedCoordinates[4] - 1.433019) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[5] - 3.319643) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[6] - 2.078569) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[7] - 1.248209) < epsilon);
-//~ 
-       //~ LUT_ASSERT(fabs(reducedCoordinates[8] - 1.4532363) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[9] - 6.1433038) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[10] - 5.2052217) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[11] - 0.3447528) < epsilon);
-       
-       free(reducedCoordinates);
-}
-
-void t_compute_coefficients2()
-{      
-       uint32_t nbSeries = 3;
-       uint32_t nbValues = 20;
-       Real curves[] =
-       {
-               0.07291223,0.3468863,0.8648239,0.2348877,0.4315312,0.7036144,0.2431289,0.01040031,0.1178515,0.03080914,0.3673594,0.3738354,0.6695186,0.9140619,0.3102869,0.6374112,0.843919,0.2661967,0.1571974,0.7748992,
-               0.8818654,0.6703627,0.8847847,0.03184918,0.997876,0.7612137,0.6387965,0.296034,0.5018912,0.7942868,0.1095461,0.3727642,0.2351644,0.5057783,0.7287164,0.340264,0.08904832,0.5050351,0.1371493,0.8821361,
-               0.1844872,0.5861217,0.7114864,0.8779052,0.5999996,0.2707162,0.9586406,0.6902478,0.2514943,0.8113025,0.2820882,0.5661663,0.9571422,0.6838519,0.998652,0.6126693,0.9178886,0.7810725,0.7895782,0.181061
-       };
-
-       PowerCurve* powerCurves = (PowerCurve*)malloc(nbSeries*sizeof(PowerCurve));
-       for (int i=0; i<nbSeries; i++)
-       {
-               powerCurves[i].ID = i;
-               powerCurves[i].values = curves + i * nbValues;
-       }
-       
-       //~ // Expected energy matrix:
-       //~ // ...TODO
-       
-       uint32_t nbReducedCoordinates = 5; //2^5 > 20, 2^4 < 20
-       Real* reducedCoordinates = (Real*)malloc(nbSeries * nbReducedCoordinates * sizeof(Real));
-       Real epsilon = 1e-4;
-       compute_coefficients(powerCurves, nbSeries, nbValues, reducedCoordinates, 0, nbReducedCoordinates);
-       free(powerCurves);
-
-       //~ LUT_ASSERT(fabs(reducedCoordinates[0] - 1.2829311) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[1] - 2.8197073) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[2] - 2.7653092) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[3] - 0.5390868) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[4] - 0.5390868) < epsilon);
-//~ 
-       //~ LUT_ASSERT(fabs(reducedCoordinates[5] - 3.319643) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[6] - 2.078569) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[7] - 1.248209) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[8] - 1.4532363) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[9] - 6.1433038) < epsilon);
-//~ 
-       //~ LUT_ASSERT(fabs(reducedCoordinates[10] - 5.2052217) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[11] - 0.3447528) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[12] - 0.3447528) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[13] - 1.248209) < epsilon);
-       //~ LUT_ASSERT(fabs(reducedCoordinates[14] - 1.248209) < epsilon);
-
-       free(reducedCoordinates);
-}

diff --git a/old_C_code/stage1/test/Algorithm/t.pam.c b/old_C_code/stage1/test/Algorithm/t.pam.c
deleted file mode 100644 (file)
index 06f1fe5..0000000
--- a/old_C_code/stage1/test/Algorithm/t.pam.c
+++ /dev/null
@@ -1,541 +0,0 @@
-#include "Algorithm/pam.h"
-#include <stdlib.h>
-#include "Util/types.h"
-#include "lut.h"
-#include <math.h>
-
-// 3 "regular flowers", dissimilarity = euclidian
-void t_pam1()
-{
-       uint32_t nbClusters = 3;
-       Result_t* result = (Result_t*)malloc(sizeof(Result_t));
-       result->medoids_ranks = (uint32_t*)malloc(nbClusters*sizeof(uint32_t));
-       result->nbClusters = nbClusters;
-       
-//     double M[] = 
-//     {
-//             -4,4,
-//             -3,5,
-//             -5,5,
-//             -5,3,
-//             -3,3,
-//             0,0,
-//             1,1,
-//             -1,1,
-//             -1,-1,
-//             1,-1,
-//             4,-4,
-//             5,-3,
-//             3,-3,
-//             3,-5,
-//             5,-5
-//     };
-
-       uint32_t nbSeries = 15;
-       Real dissimilarities[] =
-       {
-               0,1.414214,1.414214,1.414214,1.414214,5.656854,5.830952,4.242641,5.830952,7.071068,11.31371,11.40175,9.899495,11.40175,12.72792,
-               1.414214,0,2,2.828427,2,5.830952,5.656854,4.472136,6.324555,7.211103,11.40175,11.31371,10,11.6619,12.80625,
-               1.414214,2,0,2,2.828427,7.071068,7.211103,5.656854,7.211103,8.485281,12.72792,12.80625,11.31371,12.80625,14.14214,
-               1.414214,2.828427,2,0,2,5.830952,6.324555,4.472136,5.656854,7.211103,11.40175,11.6619,10,11.31371,12.80625,
-               1.414214,2,2.828427,2,0,4.242641,4.472136,2.828427,4.472136,5.656854,9.899495,10,8.485281,10,11.31371,
-               5.656854,5.830952,7.071068,5.830952,4.242641,0,1.414214,1.414214,1.414214,1.414214,5.656854,5.830952,4.242641,5.830952,7.071068,
-               5.830952,5.656854,7.211103,6.324555,4.472136,1.414214,0,2,2.828427,2,5.830952,5.656854,4.472136,6.324555,7.211103,
-               4.242641,4.472136,5.656854,4.472136,2.828427,1.414214,2,0,2,2.828427,7.071068,7.211103,5.656854,7.211103,8.485281,
-               5.830952,6.324555,7.211103,5.656854,4.472136,1.414214,2.828427,2,0,2,5.830952,6.324555,4.472136,5.656854,7.211103,
-               7.071068,7.211103,8.485281,7.211103,5.656854,1.414214,2,2.828427,2,0,4.242641,4.472136,2.828427,4.472136,5.656854,
-               11.31371,11.40175,12.72792,11.40175,9.899495,5.656854,5.830952,7.071068,5.830952,4.242641,0,1.414214,1.414214,1.414214,1.414214,
-               11.40175,11.31371,12.80625,11.6619,10,5.830952,5.656854,7.211103,6.324555,4.472136,1.414214,0,2,2.828427,2,
-               9.899495,10,11.31371,10,8.485281,4.242641,4.472136,5.656854,4.472136,2.828427,1.414214,2,0,2,2.828427,
-               11.40175,11.6619,12.80625,11.31371,10,5.830952,6.324555,7.211103,5.656854,4.472136,1.414214,2.828427,2,0,2,
-               12.72792,12.80625,14.14214,12.80625,11.31371,7.071068,7.211103,8.485281,7.211103,5.656854,1.414214,2,2.828427,2,0
-       };
-
-       pam(dissimilarities, nbSeries, nbClusters, 0, NSTART, MAXITER, result);
-       // check that centers (medoids_ranks) span {0, 5, 10}
-       uint32_t* ctrs = result->medoids_ranks;
-       LUT_ASSERT(ctrs[0] != ctrs[1] && ctrs[1] != ctrs[2] && ctrs[2] != ctrs[0]);
-       LUT_ASSERT(ctrs[0] == 0 || ctrs[1] == 0 || ctrs[2] == 0);
-       LUT_ASSERT(ctrs[0] == 5 || ctrs[1] == 5 || ctrs[2] == 5);
-       LUT_ASSERT(ctrs[0] == 10 || ctrs[1] == 10 || ctrs[2] == 10);
-
-       free(result->medoids_ranks);
-       free(result);
-}
-
-// 4 well-separated Gaussian clusters, dissimilarity = euclidian
-void t_pam2()
-{
-       uint32_t nbClusters = 4;
-       Result_t* result = (Result_t*)malloc(sizeof(Result_t));
-       result->medoids_ranks = (uint32_t*)malloc(nbClusters*sizeof(uint32_t));
-       result->nbClusters = nbClusters;
-
-//     double M[] =
-//     {
-//             -4.450371,-4.543001,
-//             -4.711869,-4.961091,
-//             -5.083656,-4.674564,
-//             -3.586104,-5.887045,
-//             -3.185154,-3.541619,
-//             -5.033892,-4.596002,
-//             -3.004485,-5.171559,
-//             -4.528517,-4.003823,
-//             -3.721287,-5.419952,
-//             -4.121808,-4.629665,
-//             -4.05129,-4.85515,
-//             -4.035312,-5.660147,
-//             -3.290654,-4.240134,
-//             -1.902941,-4.663231,
-//             -3.070627,-3.537133,
-//             -5.799731,-6.077648,
-//             -2.999374,-4.396087,
-//             -3.826953,-3.367948,
-//             -6.482025,-2.427264,
-//             -5.412339,-3.98535,
-//             -3.37746,-3.841064,
-//             -4.712918,-3.058541,
-//             -2.440538,-4.408247,
-//             -3.116167,-6.130969,
-//             -4.604153,-3.708026,
-//             -3.472353,-3.137196,
-//             -3.843901,-3.447817,
-//             -3.340786,-2.312214,
-//             -4.328582,-4.133865,
-//             -2.906439,-5.249392,
-//             -3.55544,-4.535076,
-//             -4.346427,-4.156633,
-//             -2.092725,-4.128729,
-//             -5.015867,-5.179254,
-//             -4.543845,-2.916083,
-//             -4.145448,-5.715884,
-//             -4.390567,-2.307922,
-//             -3.003025,-5.588462,
-//             -2.844272,-4.292232,
-//             -3.51101,-5.665364,
-//             -4.669003,-3.983029,
-//             -4.040262,-3.338078,
-//             -4.002328,-3.652771,
-//             -3.732904,-6.027206,
-//             -4.094534,-3.500277,
-//             -3.587201,-4.003284,
-//             -4.816506,-4.769324,
-//             -3.062788,-3.027322,
-//             -2.899946,-6.049017,
-//             -4.912952,-4.773183,
-//             -1.916896,-0.009493825,
-//             2.634858,-0.4243543,
-//             0.3020768,1.64798,
-//             1.319387,0.4383175,
-//             -0.001776739,-0.3686283,
-//             -0.3792117,-0.614869,
-//             -0.7154037,-0.6211681,
-//             -1.422143,0.2300399,
-//             0.1448215,0.2528107,
-//             -0.665172,-1.395703,
-//             1.447993,0.2860408,
-//             -0.3756387,-0.06096208,
-//             -1.001823,-0.2453904,
-//             -0.05310829,-2.201463,
-//             -0.6424461,-0.4816693,
-//             0.9660234,-0.6773616,
-//             0.3242067,0.6265039,
-//             -1.54016,0.3410867,
-//             -0.151697,0.9412011,
-//             -0.1419021,1.402804,
-//             0.6756108,-2.120431,
-//             -0.4478024,-0.7631725,
-//             0.640236,1.548211,
-//             1.094596,1.688888,
-//             -0.4296057,-0.3780608,
-//             -0.3501862,-0.4554224,
-//             -0.7654625,-0.5809421,
-//             -0.3401964,-0.455078,
-//             1.656617,-0.7471582,
-//             1.436579,-0.3640174,
-//             0.2339464,0.3475537,
-//             0.08126267,1.06486,
-//             0.2915553,-0.236505,
-//             0.4851901,-1.010106,
-//             -0.07553644,-2.15231,
-//             -0.4303397,0.9054603,
-//             0.004220171,1.033742,
-//             -0.3602884,1.916468,
-//             -0.4638079,-1.552088,
-//             -1.60057,-1.106041,
-//             -0.7134006,-1.567929,
-//             -1.337527,-3.620209,
-//             -0.1994646,-0.1307016,
-//             -0.2420102,-0.1121753,
-//             -0.536283,0.03036439,
-//             2.467503,0.3452919,
-//             -0.3630185,1.174053,
-//             0.1055285,-0.2248235,
-//             1.267688,-0.3149153,
-//             -1.620448,-0.6095385,
-//             5.14672,4.479654,
-//             4.129114,5.259524,
-//             5.365162,3.888272,
-//             3.454389,2.743306,
-//             2.861091,2.602548,
-//             3.93366,4.617158,
-//             4.57284,3.714136,
-//             4.092174,3.671644,
-//             4.50261,1.516262,
-//             4.317581,3.683757,
-//             4.259846,2.438663,
-//             4.119361,6.446651,
-//             5.691461,3.578193,
-//             3.861858,3.574928,
-//             3.537764,4.3348,
-//             2.586984,4.144694,
-//             4.565765,3.690908,
-//             4.949011,3.678565,
-//             4.21298,4.516202,
-//             4.258206,3.375235,
-//             3.862015,3.229653,
-//             2.276514,3.281311,
-//             3.461244,5.803409,
-//             5.741595,4.279209,
-//             3.847961,3.979272,
-//             2.904032,5.174558,
-//             4.973815,3.879027,
-//             2.342122,2.615265,
-//             2.576959,5.048676,
-//             4.996508,3.129088,
-//             4.908488,5.593342,
-//             4.494416,4.222817,
-//             6.292328,2.357233,
-//             3.34451,3.270198,
-//             2.269291,3.963629,
-//             4.25654,3.247725,
-//             2.894098,3.785049,
-//             2.346439,4.385733,
-//             5.85847,6.073889,
-//             1.42734,4.093241,
-//             4.07797,2.895063,
-//             4.444542,2.00364,
-//             5.394777,5.063008,
-//             2.639821,4.398103,
-//             4.273526,2.889649,
-//             3.477858,5.404986,
-//             5.729747,3.629496,
-//             3.810896,4.770437,
-//             3.71945,5.236858,
-//             3.833841,3.280717,
-//             4.152189,-5.99135,
-//             3.19188,-5.967943,
-//             5.042668,-6.489929,
-//             5.237402,-4.916319,
-//             5.335625,-3.950791,
-//             4.027703,-4.435844,
-//             3.654064,-5.122268,
-//             5.109319,-3.817966,
-//             5.21631,-4.550999,
-//             4.518432,-6.290373,
-//             4.224753,-3.722504,
-//             4.315041,-4.396765,
-//             5.56141,-4.3007,
-//             4.428661,-3.642649,
-//             3.759849,-5.697695,
-//             3.478439,-5.001031,
-//             4.693304,-5.403166,
-//             4.822672,-3.103692,
-//             4.885982,-3.900518,
-//             5.715825,-4.795573,
-//             6.714095,-5.538454,
-//             4.872663,-6.734268,
-//             5.04218,-6.48153,
-//             5.145617,-4.279071,
-//             3.550852,-5.84931,
-//             4.806485,-4.733755,
-//             4.280439,-4.219329,
-//             4.628427,-5.355216,
-//             4.133676,-5.390665,
-//             4.283339,-4.694953,
-//             5.662802,-4.493008,
-//             3.031885,-4.058671,
-//             4.413487,-4.646903,
-//             6.535346,-4.918966,
-//             3.408803,-3.448405,
-//             4.701184,-6.628794,
-//             5.478372,-4.380599,
-//             5.902022,-6.036273,
-//             4.379025,-2.736512,
-//             4.590189,-3.72093,
-//             4.625894,-5.511869,
-//             5.09324,-4.854936,
-//             5.402295,-7.326092,
-//             7.355636,-3.345965,
-//             4.646836,-5.001939,
-//             5.450266,-7.242952,
-//             4.197233,-5.91857,
-//             3.848639,-4.45381,
-//             5.578822,-4.595297,
-//             5.741669,-4.29464
-//     };
-
-       uint32_t nbSeries = 200;
-       Real dissimilarities[] =
-       {
-               0,0.4931329,0.6468061,1.59794,1.61355,0.5859224,1.576601,0.5448115,1.140442,0.3398006,0.5066584,1.191759,1.198613,2.550266,1.707473,2.043505,1.458416,1.330188,2.933251,1.111916,1.282129,1.507499,2.014345,2.074064,0.8490186,1.712545,1.251893,2.491503,0.4268785,1.697855,0.8949661,0.4001053,2.393766,0.8512363,1.629601,1.211871,2.235879,1.785441,1.625559,1.463591,0.6011401,1.272803,0.9966205,1.648521,1.101768,1.018016,0.4304379,2.054914,2.161458,0.5166866,5.193379,8.195347,7.804742,7.622575,6.100441,5.657257,5.415788,5.652618,6.641958,4.922725,7.623015,6.057402,5.510167,4.981839,5.567289,6.654359,7.037072,5.685389,6.968147,7.342718,5.669615,5.505239,7.938334,8.341648,5.789066,5.78963,5.410773,5.796952,7.190531,7.219424,6.772028,7.20998,6.405605,6.069688,4.985437,6.770996,7.137468,7.64549,4.983799,4.464758,4.77661,3.246744,6.126875,6.110853,6.019614,8.470679,7.027884,6.277171,7.111463,4.845678,13.17241,13.02678,12.93952,10.7506,10.22332,12.41775,12.23105,11.85139,10.81067,12.02317,11.16295,13.93602,12.99271,11.61869,11.9426,11.18036,12.21016,12.4877,12.53486,11.77021,11.38024,10.31847,13.02466,13.47989,11.89502,12.1868,12.63906,9.868066,11.89049,12.16982,13.79615,12.52393,12.76788,11.03659,10.84051,11.68357,11.10395,11.22136,14.79833,10.44663,11.31625,11.04436,13.75508,11.41114,11.46083,12.72082,13.05467,12.44944,12.7433,11.39468,8.723632,7.773961,9.690631,9.694963,9.803899,8.478751,8.125111,9.587145,9.666684,9.137436,8.71384,8.766631,10.01471,8.924564,8.291021,7.942029,9.184045,9.384079,9.358433,10.16933,11.20876,9.577088,9.688468,9.599617,8.107158,9.258822,8.736808,9.115057,8.625799,8.735032,10.1133,7.497916,8.864467,10.99215,7.935033,9.38624,9.930072,10.45954,9.012305,9.077859,9.127831,9.548708,10.23819,11.86654,9.108776,10.26218,8.756327,8.299489,10.02933,10.19507,
-               0.4931329,0,0.4693864,1.457648,2.084649,0.4868151,1.720307,0.9746689,1.091699,0.6767681,0.6690197,0.9728352,1.593622,2.824676,2.172863,1.558892,1.803294,1.82241,3.090911,1.201136,1.742156,1.90255,2.337644,1.978605,1.257686,2.20522,1.744525,2.982686,0.9117083,1.828303,1.232402,0.8835719,2.748225,0.3741792,2.051899,0.9436867,2.672553,1.820368,1.983757,1.392143,0.9790013,1.756481,1.488338,1.447402,1.5859,1.477251,0.2184572,2.541443,2.113444,0.2752164,5.685964,8.634603,8.29575,8.095039,6.578425,6.136902,5.899717,6.145741,7.125462,5.393306,8.091742,6.543253,6.000189,5.414757,6.051894,7.11258,7.522185,6.178416,7.458701,7.834778,6.090508,5.98371,8.427101,8.828207,6.272315,6.270991,5.895746,6.27819,7.636415,7.677011,7.255535,7.699752,6.881567,6.528377,5.420777,7.262776,7.62755,8.138616,5.446772,4.953948,5.244168,3.630998,6.610178,6.594817,6.507699,8.927546,7.520139,6.755705,7.572453,5.337873,13.64989,13.51384,13.41111,11.227,10.70319,12.90302,12.7069,12.33026,11.26334,12.50057,11.62962,14.42661,13.45915,12.09845,12.4286,11.66999,12.68588,12.96056,13.01814,12.24568,11.85748,10.80623,13.5157,13.95199,12.37743,12.67806,13.11336,10.35181,12.38234,12.63739,14.28101,13.00384,13.21553,11.51778,11.33081,12.158,11.59076,11.71251,15.2808,10.93942,11.789,11.50423,14.23471,11.90134,11.93195,13.21087,13.5213,12.936,13.23198,11.87251,8.923729,7.967622,9.873618,9.949371,10.09816,8.755341,8.367485,9.88749,9.936645,9.325526,9.022046,9.044532,10.29448,9.235127,8.50368,8.190405,9.415557,9.713773,9.65627,10.42901,11.44054,9.747174,9.871838,9.881052,8.310324,9.521068,9.02285,9.348607,8.855969,8.999144,10.38522,7.796159,9.130763,11.24729,8.260358,9.559644,10.20676,10.66821,9.359118,9.384363,9.353992,9.805684,10.38699,12.17511,9.358794,10.41518,8.960405,8.575525,10.29719,10.47476,
-               0.6468061,0.4693864,0,1.926856,2.210854,0.09299721,2.137745,0.8706733,1.55295,0.9628953,1.048041,1.438888,1.844881,3.180735,2.312149,1.575249,2.102803,1.812883,2.646846,0.7635759,1.898901,1.658004,2.6565,2.447882,1.078943,2.22706,1.744104,2.935692,0.9287043,2.251821,1.534568,0.9009759,3.040329,0.5092227,1.83947,1.401635,2.466043,2.272495,2.271788,1.858736,0.8063235,1.695542,1.487726,1.911588,1.535353,1.64012,0.2834581,2.607166,2.580254,0.1971432,5.638373,8.811341,8.30546,8.193932,6.660824,6.213929,5.959165,6.120606,7.184427,5.502175,8.201831,6.591718,6.0232,5.60559,6.107758,7.250948,7.572734,6.1411,7.474024,7.832964,6.300218,6.065486,8.454931,8.86929,6.334044,6.34089,5.950171,6.34858,7.801012,7.816282,7.314271,7.721228,6.9706,6.666355,5.607408,7.265674,7.646649,8.108754,5.576097,4.986607,5.361932,3.891677,6.670982,6.652587,6.543313,9.067467,7.516031,6.835775,7.703642,5.340247,13.72808,13.54848,13.50925,11.31031,10.77383,12.9479,12.79133,12.40383,11.41152,12.57954,11.74304,14.43527,13.57244,12.16866,12.46986,11.68837,12.77076,13.05485,13.07278,12.33165,11.93741,10.83827,13.52047,14.04835,12.43634,12.68102,13.2029,10.40595,12.37847,12.74781,14.32734,13.07298,13.37382,11.58245,11.34391,12.24753,11.62797,11.71731,15.33817,10.92096,11.88422,11.6355,14.30447,11.91492,12.03221,13.22486,13.63404,12.97386,13.25636,11.95024,9.329242,8.375997,10.28776,10.32389,10.44439,9.114485,8.749182,10.2289,10.30071,9.73709,9.356971,9.402801,10.65163,9.568125,8.902492,8.568317,9.804071,10.0301,9.999641,10.80016,11.82934,10.16714,10.2858,10.23692,8.714055,9.890318,9.375154,9.735905,9.245107,9.367017,10.74799,8.138878,9.497183,11.62157,8.580519,9.978081,10.56612,11.06975,9.659108,9.720735,9.745586,10.17849,10.816,12.51004,9.735998,10.84251,9.363891,8.935022,10.66277,10.83199,
-               1.59794,1.457648,1.926856,0,2.379451,1.939815,0.9220632,2.105865,0.4862611,1.366742,1.131903,0.5032602,1.673203,2.081047,2.405786,2.221818,1.602251,2.530584,4.511812,2.636585,2.056592,3.044691,1.870605,0.5294707,2.405109,2.752201,2.452814,3.583238,1.903921,0.9319575,1.352317,1.890084,2.306915,1.595365,3.12152,0.5849461,3.668417,0.6550819,1.758904,0.2340549,2.190422,2.58911,2.272713,0.2029666,2.44032,1.883761,1.662285,2.907211,0.7050159,1.732402,6.109981,8.27897,8.479065,8.004627,6.580298,6.170899,5.997531,6.488563,7.184541,5.357611,7.965496,6.652092,6.205383,5.105445,6.154933,6.918285,7.59716,6.555571,7.643304,8.062532,5.68767,6.008577,8.552483,8.905262,6.349203,6.322475,6.009222,6.327889,7.341972,7.465331,7.31184,7.859933,6.85309,6.352949,5.125654,7.489791,7.796648,8.443974,5.342339,5.176905,5.187214,3.192905,6.678683,6.673236,6.657112,8.688393,7.761918,6.759356,7.389717,5.631685,13.55473,13.5562,13.25451,11.13784,10.66018,12.9184,12.59964,12.26069,10.96523,12.41243,11.44012,14.54284,13.25383,12.04164,12.45936,11.77891,12.57737,12.81987,13.00205,12.13767,11.77237,10.88251,13.65034,13.79705,12.35352,12.82501,12.98647,10.365,12.55282,12.44797,14.28136,12.94234,12.86668,11.48427,11.45956,12.03956,11.64227,11.86276,15.24021,11.16874,11.65605,11.25852,14.16192,12.02275,11.78152,13.31952,13.31727,12.97295,13.30836,11.79421,7.738995,6.778467,8.649808,8.876742,9.129421,7.750873,7.280447,8.938202,8.90323,8.114565,8.105228,8.040461,9.284045,8.323086,7.348392,7.119887,8.293536,8.857458,8.701869,9.365746,10.3061,8.501089,8.648739,8.878543,7.137055,8.471459,8.041379,8.231729,7.735722,7.959222,9.353373,6.865911,8.095147,10.16764,7.407812,8.320416,9.188803,9.489299,8.565578,8.458357,8.220563,8.740495,9.102866,11.23293,8.280381,9.13753,7.783401,7.571628,9.255511,9.462721,
-               1.61355,2.084649,2.210854,2.379451,0,2.128275,1.639922,1.420654,1.95335,1.435676,1.573391,2.282747,0.7064372,1.703551,0.1146144,3.642453,0.8744314,0.6648819,3.480107,2.270958,0.3558779,1.602319,1.142583,2.590269,1.428724,0.4960257,0.6653927,1.239216,1.287705,1.730367,1.060222,1.314078,1.240201,2.45629,1.495773,2.376887,1.724828,2.054931,0.8243909,2.148598,1.548113,0.8789991,0.8246995,2.545225,0.9103202,0.6121904,2.041708,0.5286538,2.523567,2.121801,3.752917,6.602262,6.252416,6.010889,4.494636,4.054525,3.824748,4.163366,5.048409,3.309874,6.009744,4.473069,3.953739,3.406718,3.978524,5.043435,5.448748,4.2168,5.412719,5.805919,4.114034,3.900366,6.3671,6.758287,4.195372,4.190662,3.823678,4.19768,5.590327,5.608704,5.178408,5.647045,4.797007,4.458697,3.405862,5.231206,5.577278,6.145777,3.371047,2.905675,3.16307,1.849297,4.533067,4.519201,4.446974,6.860073,5.495635,4.672228,5.499037,3.323462,11.56551,11.44372,11.32745,9.142418,8.620201,10.82789,10.62226,10.24649,9.202384,10.41619,9.54944,12.37423,11.37919,10.01527,10.35546,9.612335,10.60123,10.87638,10.93896,10.16103,9.77306,8.73969,11.46753,11.86812,10.29701,10.63249,11.02881,8.273934,10.34384,10.55642,12.20469,10.92073,11.16329,9.435961,9.277915,10.07343,9.520365,9.66651,13.20019,8.919988,9.704836,9.431975,12.15133,9.84731,9.848508,11.15515,11.44117,10.86439,11.16849,9.788286,7.735488,6.82302,8.740113,8.534005,8.530598,7.268076,7.019498,8.299074,8.461881,8.179296,7.412114,7.548787,8.779441,7.614484,7.271982,6.821536,8.095397,8.019791,8.079111,8.988873,10.09864,8.667261,8.736824,8.363347,7.120338,8.080067,7.49629,8.021295,7.54879,7.557021,8.898958,6.238503,7.678606,9.817596,6.594615,8.46906,8.704055,9.423379,7.606904,7.777409,8.055703,8.381921,9.384376,10.54261,7.966969,9.39523,7.755613,7.092695,8.827089,8.958527,
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-               11.86654,12.17511,12.51004,11.23293,10.54261,12.45243,10.51974,11.90235,11.26941,11.54901,11.50633,11.62365,10.68377,9.351815,10.42802,13.43599,10.40812,11.18261,13.86812,12.78397,10.74451,12.07198,9.853602,10.83582,11.96527,10.83,11.2,10.74626,11.71075,10.43711,10.97568,11.73011,9.48073,12.5066,11.90724,11.74272,11.79198,10.59862,10.24371,11.11142,12.0415,11.3959,11.36211,11.4081,11.45121,10.96256,12.25508,10.4233,10.60582,12.35132,9.854536,5.551717,8.642464,7.124401,7.937006,8.202851,8.51858,9.47825,8.058972,8.254507,6.934819,8.400229,8.914072,7.496624,8.495499,6.924492,8.075983,9.629618,8.645221,8.874902,6.791515,8.219761,8.309606,8.034325,8.331773,8.230124,8.578904,8.220892,6.263594,6.627764,8.022502,8.507167,7.718159,7.25667,7.526429,8.871079,8.55717,9.33963,8.022574,9.232057,8.262613,8.697488,8.210814,8.257217,8.583821,6.125294,8.94473,7.893389,6.800763,9.383928,8.131397,9.190478,7.503078,7.231801,7.455585,8.667251,7.58874,7.739316,5.637465,7.658117,6.560933,10.31353,7.121337,7.752758,8.577314,8.879753,7.56974,7.425353,8.466993,7.400581,7.446082,8.349747,9.943709,7.794126,8.121754,9.613329,7.607469,7.789197,9.65949,6.891429,9.268211,8.091541,5.801474,7.737102,8.905115,7.285681,8.411699,9.212558,9.53809,9.512439,7.049364,6.090381,8.63457,9.066945,6.955737,9.571641,7.162441,8.856702,9.321304,7.504396,4.154532,4.920531,3.903118,2.636841,2.108615,3.501853,4.105714,2.295371,2.455366,4.08892,3.153444,3.217049,2.032429,2.941973,4.296547,4.215673,3.364533,2.544524,2.531151,2.188685,2.284422,4.200685,3.896646,2.398931,4.554461,2.902436,3.196811,3.387441,3.815996,3.35541,2.044846,4.382097,3.216936,1.774037,3.948163,4.221739,2.143499,3.0579,3.038363,2.790752,3.484628,2.719454,4.433616,0,3.174877,4.33785,4.073549,3.677819,2.172072,1.872131,
-               9.108776,9.358794,9.735998,8.280381,7.966969,9.689235,7.653201,9.229482,8.378557,8.776543,8.699365,8.707063,7.973963,6.558529,7.855246,10.50181,7.670175,8.629892,11.42281,10.11041,8.107834,9.559382,7.112197,7.844676,9.341039,8.330576,8.631797,8.428329,9.017299,7.557328,8.215552,9.032903,6.795895,9.66433,9.424405,8.821223,9.430397,7.672313,7.524652,8.184778,9.371395,8.845005,8.753759,8.442229,8.869417,8.294376,9.466201,7.958481,7.619074,9.562525,8.246641,5.000234,7.943447,6.37717,6.56332,6.671397,6.924216,8.012872,6.919576,6.420465,6.180237,7.04546,7.384585,5.471028,6.957682,5.678939,7.096795,8.174769,7.63851,7.997046,4.906497,6.627404,7.678366,7.575327,6.866623,6.755816,6.988433,6.748662,5.200439,5.640573,6.934743,7.592793,6.455837,5.766631,5.51554,7.789421,7.614679,8.540237,6.166049,7.362615,6.365891,6.141806,6.87136,6.914521,7.224182,5.774285,7.952453,6.59123,5.778134,7.653237,9.49476,10.27452,8.919184,7.836501,7.811345,9.645498,8.716389,8.691299,6.519796,8.691934,7.450659,11.46073,8.643489,8.612714,9.402379,9.375707,8.693225,8.685762,9.528024,8.386184,8.26892,8.615721,10.8702,9.345491,9.016671,10.32465,8.886983,7.958235,10.26154,8.138542,10.59851,9.226015,7.540892,8.374026,9.275458,8.258891,8.960092,9.665414,11.1419,9.648184,7.917465,7.008499,10.0927,9.611914,7.900412,10.47237,8.699101,9.808064,10.28071,8.32246,1.10617,1.746442,1.53974,0.5967397,1.256719,0.838922,1.000038,1.271094,0.7263932,1.294817,1.34726,0.6901616,1.152467,1.376688,1.127308,1.168397,0.403909,1.906373,1.127084,1.088726,2.135745,1.746987,1.531498,0.8782483,1.385359,0.3121059,0.8641323,0.3537566,0.6437714,0.4757836,1.136308,1.870246,0.4248557,1.890331,1.986503,1.627763,1.038034,1.62645,2.281202,1.282261,0.5103598,0.4699855,2.443851,3.174877,0,2.380681,1.020958,0.9682794,1.016836,1.30343,
-               10.26218,10.41518,10.84251,9.13753,9.39523,10.81314,8.704797,10.49133,9.350974,9.922392,9.796998,9.616728,9.242326,7.7926,9.291863,11.31019,8.916337,10.05398,12.86742,11.34055,9.460528,10.99089,8.38453,8.638304,10.65772,9.821933,10.03915,10.07942,10.2612,8.591205,9.404006,10.27135,8.160582,10.66765,10.89055,9.716463,11.00893,8.613679,8.803755,9.09908,10.6314,10.26246,10.11143,9.263296,10.25236,9.600586,10.56056,9.499664,8.435136,10.65345,10.32463,7.376978,10.27388,8.721586,8.773887,8.826908,9.047846,10.15262,9.183366,8.461023,8.52666,9.247819,9.518158,7.463494,9.101433,7.950812,9.391742,10.31425,9.91778,10.29667,7.002682,8.762121,10.02102,9.937285,9.038785,8.928371,9.111403,8.922146,7.522441,7.964259,9.210091,9.89171,8.700724,7.968711,7.513264,10.04879,9.907729,10.84701,8.207449,9.347511,8.378346,7.69405,9.083147,9.124143,9.420186,8.153424,10.22938,8.821584,8.092692,9.695214,11.72654,12.57209,11.13155,10.18376,10.18026,11.95668,10.99216,10.99876,8.810329,10.98526,9.754526,13.75415,10.82383,10.93387,11.73465,11.7421,10.96958,10.93301,11.82407,10.68489,10.59236,10.9924,13.19711,11.52584,11.33604,12.67588,11.13218,10.33659,12.623,10.38196,12.84772,11.50554,9.637045,10.72197,11.64929,10.55838,11.32037,12.03578,13.3231,12.02885,10.23047,9.301126,12.30609,11.97551,10.2007,12.80081,10.87604,12.12473,12.59926,10.64709,1.803195,2.593445,0.8562594,2.33635,3.294157,3.14699,2.779145,3.441914,2.702101,1.332562,3.727659,3.064232,2.94435,3.74244,2.290269,2.985685,1.989423,4.186568,3.389732,2.461745,2.121927,0.7696657,0.8638857,2.979497,2.355847,2.590468,3.242035,2.058875,2.272527,2.802502,2.758145,3.998526,2.795422,2.564822,4.308847,0.9686663,2.862491,1.288471,4.632015,3.625517,1.917352,2.414558,0.09598607,4.33785,2.380681,0,1.823206,3.216291,2.650774,2.962678,
-               8.756327,8.960405,9.363891,7.783401,7.755613,9.325388,7.240357,8.933363,7.934203,8.418297,8.31679,8.236601,7.673695,6.228001,7.648074,9.99823,7.35589,8.419812,11.23547,9.802103,7.854426,9.357914,6.807429,7.316485,9.07474,8.158345,8.412162,8.356288,8.710609,7.135122,7.875151,8.723449,6.539657,9.242716,9.242369,8.345143,9.31596,7.207822,7.226878,7.712401,9.075047,8.632223,8.506859,7.930882,8.637219,8.016591,9.086708,7.814552,7.098378,9.181906,8.502926,5.712042,8.510283,6.977966,6.959421,7.005219,7.224712,8.329634,7.382952,6.640731,6.786421,7.4312,7.695138,5.64644,7.2789,6.15719,7.605151,8.49123,8.122171,8.510618,5.179545,6.939343,8.270734,8.215824,7.218371,7.108094,7.288252,7.101972,5.761791,6.202763,7.414307,8.10614,6.894939,6.154046,5.695724,8.245109,8.118867,9.06415,6.38682,7.534916,6.560671,5.992999,7.26845,7.308974,7.602368,6.498302,8.432152,7.011476,6.323226,7.875991,10.44148,11.1783,9.876144,8.69367,8.625238,10.53902,9.640026,9.590789,7.441101,9.603081,8.357468,12.36547,9.613596,9.49942,10.27456,10.19128,9.616542,9.626535,10.43478,9.294005,9.154362,9.398243,11.74506,10.31406,9.904003,11.16825,9.828325,8.733142,11.08629,9.082893,11.53386,10.14574,8.536881,9.22825,10.06851,9.166487,9.790729,10.4692,12.10697,10.38791,8.81444,7.926069,11.04668,10.43356,8.808549,11.34638,9.670272,10.69599,11.16566,9.206461,0.08559222,1.006565,1.020397,1.444457,2.273343,1.492387,0.963914,2.290073,1.705511,0.4913309,2.196239,1.526357,2.116242,2.287657,0.4899909,1.165566,0.7153516,2.883524,2.132348,1.888715,2.545403,1.059041,1.015312,1.89404,0.6500814,1.332281,1.701277,0.7094334,0.5317172,1.226642,2.044533,2.194825,1.289924,2.542829,2.59294,0.8708527,2.001667,1.708847,3.187247,2.232495,0.5908941,1.390736,1.852914,4.073549,1.020958,1.823206,0,1.50567,1.91307,2.241078,
-               8.299489,8.575525,8.935022,7.571628,7.092695,8.883668,6.890607,8.389233,7.63133,7.972386,7.910117,7.975709,7.142489,5.755391,6.979723,9.784063,6.848256,7.752019,10.52756,9.272818,7.252032,8.674504,6.289342,7.163895,8.485628,7.43844,7.758041,7.501617,8.183478,6.801767,7.404525,8.200452,5.95025,8.89414,8.532197,8.093099,8.514068,6.944979,6.69486,7.458706,8.530643,7.967409,7.891726,7.743085,8.000202,7.449475,8.670887,7.057101,6.934557,8.76741,7.279652,4.208298,7.057615,5.50727,5.613769,5.710708,5.959834,7.051212,5.989202,5.452202,5.313123,6.094393,6.421664,4.505185,5.995643,4.750898,6.183139,7.213195,6.71631,7.086913,3.938624,5.663939,6.80574,6.731826,5.9089,5.798037,6.024038,5.791044,4.3063,4.748098,6.009916,6.681978,5.51711,4.813718,4.549291,6.857946,6.700208,7.635149,5.197806,6.395422,5.398195,5.252733,5.922533,5.965165,6.27179,4.993887,7.029288,5.647583,4.877679,6.685008,9.02728,9.717382,8.478807,7.207905,7.125127,9.071366,8.199988,8.129102,6.005784,8.151067,6.904728,10.90382,8.240695,8.028749,8.794106,8.690572,8.176227,8.206481,8.977408,7.839751,7.683474,7.893267,10.26453,8.935821,8.433082,9.674593,8.408459,7.227822,9.587199,7.669285,10.1029,8.700625,7.236154,7.740442,8.564322,7.712329,8.29397,8.966277,10.71783,8.883399,7.35245,6.484887,9.641595,8.934069,7.35574,9.865766,8.299301,9.224324,9.691529,7.73454,1.567219,1.650433,2.3604,1.463755,1.569763,0.1799629,0.6962006,1.411953,1.37112,1.954888,0.8223568,0.4698773,1.719601,0.9971994,1.24705,0.6606804,1.270723,1.6648,1.175675,1.898207,3.063869,2.499823,2.352911,1.308697,1.426919,0.9979176,0.4913583,1.191891,0.979257,0.4971067,1.814586,0.9073148,0.5969412,2.726677,1.097404,2.336106,1.631377,2.592407,1.797337,1.042597,1.312865,1.307645,3.265556,3.677819,0.9682794,3.216291,1.50567,0,1.735959,1.89971,
-               10.02933,10.29719,10.66277,9.255511,8.827089,10.61271,8.60263,10.12463,9.336599,9.700691,9.633618,9.672925,8.876584,7.482071,8.713936,11.4747,8.580509,9.485515,12.25416,11.00807,8.987984,10.40584,8.021542,8.82956,10.22156,9.167869,9.492335,9.207165,9.918144,8.510435,9.134461,9.934938,7.685722,10.61077,10.261,9.788623,10.22843,8.639125,8.428544,9.1526,10.2661,9.700896,9.627398,9.421179,9.735137,9.185121,10.39678,8.782708,8.602488,10.49328,8.787228,5.105261,8.174506,6.593941,7.000558,7.165331,7.443855,8.502787,7.282342,7.016043,6.394623,7.48437,7.888382,6.119565,7.458291,6.052118,7.407981,8.663013,7.968165,8.288782,5.492399,7.141805,7.882406,7.720056,7.340728,7.2313,7.507662,7.223309,5.494712,5.921309,7.280073,7.890534,6.852318,6.228859,6.159542,8.146678,7.922264,8.813405,6.765686,7.982392,6.982623,6.984746,7.302137,7.34714,7.667545,5.838641,8.28196,7.00414,6.075158,8.228958,9.085232,9.960881,8.48626,7.639915,7.693831,9.358198,8.370106,8.399549,6.205593,8.374572,7.156556,11.13798,8.174266,8.348685,9.16038,9.237886,8.347902,8.297798,9.213303,8.079196,8.011071,8.540854,10.61213,8.875998,8.74752,10.12939,8.495893,7.903697,10.10037,7.746303,10.21067,8.884541,6.989046,8.176684,9.176503,7.953705,8.799883,9.54501,10.67285,9.629408,7.639244,6.695712,9.660058,9.461446,7.597908,10.2186,8.226177,9.531135,10.00643,8.067004,1.996058,2.753479,1.969033,0.4686397,0.6888631,1.559294,1.995593,0.9081171,0.3652088,1.999428,1.610984,1.279281,0.2951107,1.493456,2.126957,2.139212,1.198663,1.672318,0.9811959,0.2426529,1.475937,2.252523,1.961086,0.5363443,2.384368,0.7846497,1.351721,1.216851,1.649563,1.29931,0.1323465,2.602855,1.166477,1.009802,2.454454,2.214804,0.2370344,1.476777,2.212374,1.319816,1.322186,0.5506379,2.736494,2.172072,1.016836,2.650774,1.91307,1.735959,0,0.3419266,
-               10.19507,10.47476,10.83199,9.462721,8.958527,10.77977,8.790005,10.2743,9.529631,9.869165,9.808987,9.871878,9.032487,7.65349,8.844794,11.67831,8.741631,9.613391,12.36551,11.15829,9.130402,10.52741,8.182996,9.04618,10.36244,9.286435,9.622903,9.29629,10.07153,8.700651,9.300218,10.08904,7.83615,10.79385,10.37749,9.988744,10.32518,8.83989,8.585941,9.353659,10.41533,9.82859,9.765115,9.631683,9.868227,9.333418,10.56884,8.895198,8.817899,10.66536,8.775881,4.963002,8.056295,6.477458,6.957064,7.141841,7.428875,8.473071,7.21138,7.032172,6.278398,7.439454,7.865819,6.161236,7.436106,5.990951,7.318917,8.632206,7.88326,8.190072,5.512906,7.126066,7.756515,7.57614,7.309187,7.200714,7.492283,7.192449,5.410386,5.829545,7.203122,7.795154,6.795013,6.198285,6.199149,8.070609,7.830069,8.706994,6.784507,8.004726,7.007344,7.111249,7.255029,7.300508,7.623539,5.678832,8.195963,6.951941,5.987881,8.232906,8.794441,9.689292,8.191569,7.400292,7.474552,9.093351,8.093618,8.135263,5.941536,8.104495,6.89443,10.86311,7.872993,8.09097,8.906427,9.009683,8.071662,8.012509,8.942473,7.812019,7.755519,8.330806,10.35234,8.573848,8.487859,9.885236,8.209654,7.70089,9.864732,7.461032,9.923022,8.608293,6.674627,7.935562,8.958594,7.687189,8.566798,9.320755,10.36919,9.43239,7.379683,6.430464,9.364075,9.229585,7.332765,9.9603,7.924144,9.268414,9.743656,7.811903,2.324925,3.049814,2.303887,0.8004816,0.5320745,1.719773,2.245676,0.7918867,0.5845699,2.340782,1.621226,1.430279,0.1803605,1.465975,2.428204,2.370906,1.525745,1.504298,0.9420895,0.5015995,1.578824,2.58978,2.296034,0.5962549,2.686387,1.033146,1.463169,1.537572,1.945999,1.512275,0.2134713,2.720038,1.374102,1.009805,2.481608,2.55556,0.2769731,1.749,2.069919,1.286487,1.651242,0.8569664,3.050389,1.872131,1.30343,2.962678,2.241078,1.89971,0.3419266,0
-       };
-
-       pam(dissimilarities, nbSeries, nbClusters, 0, NSTART, MAXITER, result);
-
-       // Label items
-       uint32_t* labels = (uint32_t*)malloc(nbSeries*sizeof(uint32_t));
-       uint32_t* ctrs = result->medoids_ranks;
-
-       // DEBUG:
-       //printf("CTRS: %f,%f %f,%f %f,%f %f,%f\n",N[2*ctrs[0]],N[2*ctrs[0]+1],N[2*ctrs[1]],N[2*ctrs[1]+1],N[2*ctrs[2]],N[2*ctrs[2]+1],N[2*ctrs[3]],N[2*ctrs[3]+1]);
-
-       for (uint32_t i=0; i<nbSeries; i++)
-       {
-               Real minDissim = INFINITY;
-               uint32_t bestClust = 0;
-               for (uint32_t j=0; j<nbClusters; j++)
-               {
-                       if (dissimilarities[i*nbSeries + ctrs[j]] < minDissim)
-                       {
-                               minDissim = dissimilarities[i*nbSeries + ctrs[j]];
-                               bestClust = j;
-                       }
-               }
-               labels[i] = bestClust;
-       }
-
-       // Check that clusters composition match 'true distribution' well enough
-
-       // Tolerance == +/- 3 series
-       double maxDeltaSeries = 3.0;
-       // labels balancing:
-       for (uint32_t j=0; j<nbClusters; j++)
-       {
-               uint32_t countClusterLabels = 0;
-               for (uint32_t i=0; i<nbSeries; i++)
-               {
-                       if (labels[i] == j)
-                               countClusterLabels++;
-               }
-               LUT_ASSERT(fabs(countClusterLabels - 50.0) <= maxDeltaSeries);
-       }
-
-       // clusters purity:
-       for (uint32_t j=0; j<nbClusters; j++)
-       {
-               uint32_t labelsCount[] = {0,0,0,0};
-               for (uint32_t i=50*j; i<50*j+50; i++)
-                       labelsCount[labels[i]]++;
-               uint32_t maxLabelsCount = 0;
-               for (uint32_t jj=0; jj<nbClusters; jj++)
-               {
-                       if (labelsCount[jj] > maxLabelsCount)
-                               maxLabelsCount = labelsCount[jj];
-               }
-               LUT_ASSERT(50 - maxLabelsCount <= maxDeltaSeries);
-       }
-
-       free(result->medoids_ranks);
-       free(labels);
-       free(result);
-}

diff --git a/old_C_code/stage1/test/CMakeLists.txt b/old_C_code/stage1/test/CMakeLists.txt
deleted file mode 100644 (file)
index 7b89bed..0000000
--- a/old_C_code/stage1/test/CMakeLists.txt
+++ /dev/null
@@ -1,19 +0,0 @@
-cmake_minimum_required(VERSION 2.8.5)
-project(ppam_mpi_tests)
-
-set(CMAKE_C_FLAGS "-std=gnu99")
-set(CMAKE_C_FLAGS_DEBUG "-g3")
-set(CMAKE_C_FLAGS_RELEASE "-O3")
-
-#already by default... ?!
-include_directories("${CMAKE_SOURCE_DIR}")
-
-#ppam tests
-
-include_directories("${CMAKE_SOURCE_DIR}/../src")
-
-file(GLOB_RECURSE test_ppam_src "${CMAKE_SOURCE_DIR}/*.c")
-add_executable(test_ppam.exe ${test_ppam_src})
-find_library(PPAM_LIBRARY ppam "${CMAKE_BINARY_DIR}")
-#TODO: Rblas ?!
-target_link_libraries(test_ppam.exe m cds ${PPAM_LIBRARY})

diff --git a/old_C_code/stage1/test/MPI_Communication/t.pack.c b/old_C_code/stage1/test/MPI_Communication/t.pack.c
deleted file mode 100644 (file)
index 6692af5..0000000
--- a/old_C_code/stage1/test/MPI_Communication/t.pack.c
+++ /dev/null
@@ -1,106 +0,0 @@
-#include "lut.h"
-#include <stdlib.h>
-#include "MPI_Communication/pack.h"
-#include "Util/types.h"
-#include <stdint.h>
-#include "Util/utils.h"
-
-// Work_t
-void t_pack1()
-{
-       Work_t* work = (Work_t*)malloc(sizeof(Work_t));
-       work->inputFileName = "../tdata/inputTest.bin";
-       work->nbSeries = 5;
-       uint32_t ranks[] =
-       {
-               0, 
-               12*65536 + 3*256+11,
-               32*16777216 + 2*65536 + 17*256 + 42, 
-               123,
-               51*16777216 + 77*65536 + 0*256 + 10
-       };
-       work->ranks = ranks;
-       work->nbClusters = 15;
-       work->clustOnMedoids = 0;
-       work->p_for_dissims = 1;
-       
-       // Hard-coded expected packed work
-       unsigned char expectedPackedWork[] =
-       {
-               // --> ../tdata/inputTest.bin
-               46,46,47,100,97,116,97,47,105,110,112,117,116,84,101,115,116,46,98,105,110,
-               // continue with 256 - strlen("../tdata/inputTest.bin") zeros...
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               // --> 5, {ranks}+0,0, 15, 0 on 4-bytes integers little-endian
-               5,0,0,0, 0,0,0,0, 11,3,12,0, 42,17,2,32, 123,0,0,0, 10,0,77,51, 0,0,0,0, 0,0,0,0, 
-               15,0,0,0, 0,0,0,0, 1,0,0,0
-       };
-       
-       uint32_t nbSeriesInChunk = 7;
-       uint32_t work_message_length = get_packedWork_length(nbSeriesInChunk);
-       unsigned char packedWork[work_message_length];
-       pack_work(work, nbSeriesInChunk, packedWork);
-       
-       for (uint32_t i=0; i<work_message_length; i++)
-       {
-               LUT_ASSERT(packedWork[i] == expectedPackedWork[i]);
-       }
-       
-       free(work);
-}
-
-// Result_t
-void t_pack2() {
-       
-       Result_t* result = (Result_t*)malloc(sizeof(Result_t));
-       uint32_t nbClusters = result->nbClusters = 5;
-       uint32_t medoids_ID[] =
-       {
-               15*65536 + 13*256+11,
-               11, 
-               17*16777216 + 0*65536 + 14*256 + 42, 
-               123*65536 + 0*256 + 7,
-               51*16777216 + 0*65536 + 0*256 + 10
-       };
-       result->medoids_ID = medoids_ID;
-       uint32_t medoids_ranks[] =
-       {
-               5*65536 + 32,
-               11*256 + 4, 
-               23*16777216 + 42, 
-               35*65536 + 5*256 + 77,
-               1*16777216 + 1*65536 + 1*256 + 10
-       };
-       result->medoids_ranks = medoids_ranks;
-       
-       // Hard-coded expected result
-       unsigned char expectedPackedResult[] =
-       {
-               // 5, {medoids_ID}, {medoids_ranks}
-               5,0,0,0,
-               11,13,15,0, 11,0,0,0, 42,14,0,17, 7,0,123,0, 10,0,0,51,
-               32,0,5,0, 4,11,0,0, 42,0,0,23, 77,5,35,0, 10,1,1,1
-       };
-       
-       uint32_t result_message_length = get_packedResult_length(nbClusters);
-       unsigned char packedResult[result_message_length];
-       pack_result(result, packedResult);
-       
-       for (uint32_t i=0; i<result_message_length; i++)
-       {
-               LUT_ASSERT(packedResult[i] == expectedPackedResult[i]);
-       }
-       
-       free(result);
-}

diff --git a/old_C_code/stage1/test/MPI_Communication/t.unpack.c b/old_C_code/stage1/test/MPI_Communication/t.unpack.c
deleted file mode 100644 (file)
index caf0e8d..0000000
--- a/old_C_code/stage1/test/MPI_Communication/t.unpack.c
+++ /dev/null
@@ -1,97 +0,0 @@
-#include "lut.h"
-#include <stdlib.h>
-#include "MPI_Communication/unpack.h"
-#include "Util/types.h"
-#include <stdint.h>
-#include <string.h>
-#include "Util/utils.h"
-
-// Work_t
-void t_unpack1()
-{
-       // Hard-coded packed work
-       unsigned char packedWork[] =
-       {
-               // --> ../tdata/inputTest.bin
-               46,46,47,100,97,116,97,47,105,110,112,117,116,84,101,115,116,46,98,105,110,
-               // continue with 256 - strlen("../tdata/inputTest.bin") zeros...
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
-               // --> 5, {ranks}+0,0, 15, 0 on 4-bytes integers little-endian
-               5,0,0,0, 0,0,0,0, 11,3,12,0, 42,17,2,32, 123,0,0,0, 10,0,77,51, 0,0,0,0, 0,0,0,0,
-               15,0,0,0, 0,0,0,0, 2,0,0,0
-       };
-
-       uint32_t nbSeriesInChunk = 7;
-       Work_t* work = unpack_work(packedWork, nbSeriesInChunk);
-
-       LUT_ASSERT(strcmp(work->inputFileName, "../tdata/inputTest.bin") == 0);
-       LUT_ASSERT(work->nbSeries == 5);
-       uint32_t ranks[] =
-       {
-               0,
-               12*65536 + 3*256+11,
-               32*16777216 + 2*65536 + 17*256 + 42,
-               123,
-               51*16777216 + 77*65536 + 0*256 + 10
-       };
-       for (uint32_t i=0; i < work->nbSeries; i++)
-       {
-               LUT_ASSERT(work->ranks[i] == ranks[i]);
-       }
-       LUT_ASSERT(work->nbClusters == 15);
-       LUT_ASSERT(work->clustOnMedoids == 0);
-       LUT_ASSERT(work->p_for_dissims == 2);
-       
-       free_work(work);
-}
-
-// Result_t
-void t_unpack2() {
-
-       // Hard-coded packed result
-       unsigned char packedResult[] =
-       {
-               // 5, {medoids_ID}, {medoids_ranks}
-               5,0,0,0,
-               11,13,15,0, 11,0,0,0, 42,14,0,17, 7,0,123,0, 10,0,0,51,
-               32,0,5,0, 4,11,0,0, 42,0,0,23, 77,5,35,0, 10,1,1,1
-       };
-
-       Result_t* result = unpack_result(packedResult);
-
-       LUT_ASSERT(result->nbClusters == 5);
-       uint32_t medoids_ID[] =
-       {
-               15*65536 + 13*256+11,
-               11,
-               17*16777216 + 0*65536 + 14*256 + 42,
-               123*65536 + 0*256 + 7,
-               51*16777216 + 0*65536 + 0*256 + 10
-       };
-       uint32_t medoids_ranks[] =
-       {
-               5*65536 + 32,
-               11*256 + 4,
-               23*16777216 + 42,
-               35*65536 + 5*256 + 77,
-               1*16777216 + 1*65536 + 1*256 + 10
-       };
-       for (uint32_t i=0; i<result->nbClusters; i++)
-       {
-               LUT_ASSERT(result->medoids_ID[i] == medoids_ID[i]);
-               LUT_ASSERT(result->medoids_ranks[i] == medoids_ranks[i]);
-       }
-
-       free_result(result);
-}

diff --git a/old_C_code/stage1/test/TimeSeries/t.deserialize.c b/old_C_code/stage1/test/TimeSeries/t.deserialize.c
deleted file mode 100644 (file)
index 3a6413d..0000000
--- a/old_C_code/stage1/test/TimeSeries/t.deserialize.c
+++ /dev/null
@@ -1,94 +0,0 @@
-#include "TimeSeries/deserialize.h"
-#include "lut.h"
-#include <math.h>
-#include <stdlib.h>
-#include <stdio.h>
-#include "Util/utils.h"
-
-void t_deserialize1()
-{
-       // decode sample_byCols.bin into the toy dataset (4 customers, 3 sample points)
-       const char* ifName = "../tdata/test/sample_byCols.bin";
-       
-       // check 'header'
-       uint32_t nbSeries = get_nbSeries(ifName);
-       LUT_ASSERT(nbSeries == 4);
-       uint32_t tsLength = get_tsLength(ifName);
-       LUT_ASSERT(tsLength == 13); //3*3+4
-       
-       uint32_t ranks[] =
-       {
-               0, 2, 1, 3
-       };
-       PowerCurve* powerCurves = deserialize(ifName, NULL, ranks, nbSeries);
-
-       Real epsilon = 0.1; //epsilon = 0.1 because raw powers are truncated
-       
-       LUT_ASSERT(powerCurves[0].ID == 12301);
-       LUT_ASSERT(fabs(powerCurves[0].values[0] - 23.051) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[0].values[1] - 33.052) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[0].values[2] - 43.053) < epsilon);
-       
-       LUT_ASSERT(powerCurves[1].ID == 1313);
-       LUT_ASSERT(fabs(powerCurves[1].values[0] - 50.05) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[1].values[1] - 51.05) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[1].values[2] - 52.05) < epsilon);
-       
-       LUT_ASSERT(powerCurves[2].ID == 50000);
-       LUT_ASSERT(fabs(powerCurves[2].values[0] - 150.321) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[2].values[1] - 160.322) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[2].values[2] - 140.323) < epsilon);
-
-       LUT_ASSERT(powerCurves[3].ID == 6300);
-       LUT_ASSERT(fabs(powerCurves[3].values[0] - 500.30) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[3].values[1] - 501.31) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[3].values[2] - 502.32) < epsilon);
-
-       for (int i = 0; i < nbSeries; i++)
-               free(powerCurves[i].values);
-       free(powerCurves);
-}
-
-void t_deserialize2()
-{
-       // decode sample_byRows.bin into the toy dataset (4 customers, 3 sample points)
-       const char* ifName = "../tdata/test/sample_byRows.bin";
-       
-       // check 'header'
-       uint32_t nbSeries = get_nbSeries(ifName);
-       LUT_ASSERT(nbSeries == 4);
-       uint32_t tsLength = get_tsLength(ifName);
-       LUT_ASSERT(tsLength == 13); //3*3+4
-       
-       uint32_t ranks[] =
-       {
-               0, 2, 1, 3
-       };
-       PowerCurve* powerCurves = deserialize(ifName, NULL, ranks, nbSeries);
-
-       Real epsilon = 0.1; //epsilon = 0.1 because raw powers are truncated
-       
-       LUT_ASSERT(powerCurves[0].ID == 12301);
-       LUT_ASSERT(fabs(powerCurves[0].values[0]/100.0-3 - 23.051) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[0].values[1]/100.0-3 - 33.052) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[0].values[2]/100.0-3 - 43.053) < epsilon);
-       
-       LUT_ASSERT(powerCurves[1].ID == 1313);
-       LUT_ASSERT(fabs(powerCurves[1].values[0]/100.0-3 - 50.05) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[1].values[1]/100.0-3 - 51.05) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[1].values[2]/100.0-3 - 52.05) < epsilon);
-       
-       LUT_ASSERT(powerCurves[2].ID == 50000);
-       LUT_ASSERT(fabs(powerCurves[2].values[0]/100.0-3 - 150.321) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[2].values[1]/100.0-3 - 160.322) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[2].values[2]/100.0-3 - 140.323) < epsilon);
-
-       LUT_ASSERT(powerCurves[3].ID == 6300);
-       LUT_ASSERT(fabs(powerCurves[3].values[0]/100.0-3 - 500.30) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[3].values[1]/100.0-3 - 501.31) < epsilon);
-       LUT_ASSERT(fabs(powerCurves[3].values[2]/100.0-3 - 502.32) < epsilon);
-
-       for (int i = 0; i < nbSeries; i++)
-               free(powerCurves[i].values);
-       free(powerCurves);
-}

diff --git a/old_C_code/stage1/test/TimeSeries/t.serialize.c b/old_C_code/stage1/test/TimeSeries/t.serialize.c
deleted file mode 100644 (file)
index 6003c67..0000000
--- a/old_C_code/stage1/test/TimeSeries/t.serialize.c
+++ /dev/null
@@ -1,47 +0,0 @@
-#include "TimeSeries/serialize.h"
-#include "lut.h"
-#include <unistd.h>
-#include <stdio.h>
-
-static void checkFilesEqual(const char* fileName1, const char* fileName2)
-{
-       FILE* output = fopen(fileName1, "rb");
-       FILE* refOutput = fopen(fileName2, "rb");
-       while (!feof(output) && !feof(refOutput))
-               LUT_ASSERT(fgetc(output) == fgetc(refOutput));
-       LUT_ASSERT(feof(output) && feof(refOutput));
-       fclose(output);
-       fclose(refOutput);
-}
-
-void t_serialize1()
-{
-       const char* csvIfName = "../tdata/test/sample_byCols.csv";
-       const char* binaryIfName = "../tdata/test/sample_byCols.bin";
-       const char* tmpBinaryIfName = "../tdata/test/sample_byCols.tmp.bin";
-       
-       // serialize text file into a temporary binary file
-       serialize_byCols(csvIfName, tmpBinaryIfName, 0);
-
-       // compare binary result with reference
-       checkFilesEqual(tmpBinaryIfName, binaryIfName);
-
-       // remove temp file
-       unlink(tmpBinaryIfName);
-}
-
-void t_serialize2()
-{
-       const char* csvIfName = "../tdata/test/sample_byRows.csv";
-       const char* binaryIfName = "../tdata/test/sample_byRows.bin";
-       const char* tmpBinaryIfName = "../tdata/test/sample_byRows.tmp.bin";
-       
-       // serialize text file into a temporary binary file
-       serialize_byRows(csvIfName, tmpBinaryIfName, 0);
-
-       // compare binary result with reference
-       checkFilesEqual(tmpBinaryIfName, binaryIfName);
-
-       // remove temp file
-       unlink(tmpBinaryIfName);
-}

diff --git a/old_C_code/stage1/test/Util/t.rng.c b/old_C_code/stage1/test/Util/t.rng.c
deleted file mode 100644 (file)
index ee98b98..0000000
--- a/old_C_code/stage1/test/Util/t.rng.c
+++ /dev/null
@@ -1,49 +0,0 @@
-#include "lut.h"
-#include "Util/rng.h"
-#include <stdlib.h>
-#include <cds/Vector.h>
-#include <math.h>
-
-// Auxiliary to perform K-S test for a given flag, sample size and bins count
-void aux_ks_test(int flag, uint32_t N, uint32_t nBins)
-{
-       init_rng(flag);
-               
-       // Fill the bins
-       uint32_t bins[nBins];
-       for (uint32_t i=0; i<nBins; i++)
-               bins[i] = 0;
-       for (uint32_t i=0; i<N; i++)
-       {
-               Real rf = get_rand_real();
-               uint32_t index = floor(rf*nBins);
-               if (index >= nBins) index = nBins - 1; //in case of...
-               bins[index]++;
-       }
-       
-       // Test the bins
-       double ksThreshold = 1.358 / sqrt((double)N);
-       double countPerBin = (double)N / nBins;
-       uint32_t cumulativeSum = 0;
-       for (uint32_t i=0; i<nBins; i++)
-       {
-               cumulativeSum += bins[i];
-               LUT_ASSERT((double)cumulativeSum / N - (i+1)*countPerBin/N < ksThreshold);
-       }
-}
-
-// Kolmogorov-Smirnov test on random real numbers (flag==0)
-void t_rng1()
-{
-       aux_ks_test(0, 1000000, 1000);
-       aux_ks_test(0, 100000, 1000);
-       aux_ks_test(0, 10000, 100);
-}
-
-// Kolmogorov-Smirnov test on random real numbers (flag==1)
-void t_rng2()
-{
-       aux_ks_test(1, 1000000, 1000);
-       aux_ks_test(1, 100000, 1000);
-       aux_ks_test(1, 10000, 100);
-}

diff --git a/old_C_code/stage1/test/Util/t.utils.c b/old_C_code/stage1/test/Util/t.utils.c
deleted file mode 100644 (file)
index 1abed91..0000000
--- a/old_C_code/stage1/test/Util/t.utils.c
+++ /dev/null
@@ -1,50 +0,0 @@
-#include "lut.h"
-#include "Util/utils.h"
-#include <stdlib.h>
-#include <stdio.h>
-#include "Util/types.h"
-#include <math.h>
-
-//integers
-void t_utils1()
-{
-       FILE* file = fopen("../tdata/test/integers.txt", "rb");
-       int64_t x;
-       readInt(file, &x);
-       LUT_ASSERT(x == 1234);
-       readInt(file, &x);
-       LUT_ASSERT(x == -987);
-       readInt(file, &x);
-       LUT_ASSERT(x == 654321);
-       readInt(file, &x);
-       LUT_ASSERT(x == 12);
-       readInt(file, &x);
-       LUT_ASSERT(x == 345678);
-       readInt(file, &x);
-       LUT_ASSERT(x == -1234);
-       fclose(file);
-}
-
-//reals
-void t_utils2()
-{
-       FILE* file = fopen("../tdata/test/reals.txt", "rb");
-       Real x, tol = 1e-10;
-       readReal(file, &x);
-       LUT_ASSERT(fabs(x - 1234.056) < tol);
-       readReal(file, &x);
-       LUT_ASSERT(fabs(x - 987e-3) < tol);
-       readReal(file, &x);
-       LUT_ASSERT(fabs(x - -654321e-2) < tol);
-       readReal(file, &x);
-       LUT_ASSERT(fabs(x - 12.34567) < tol);
-       readReal(file, &x);
-       LUT_ASSERT(fabs(x - 345678.0) < tol);
-       readReal(file, &x);
-       LUT_ASSERT(fabs(x - -1234.05) < tol);
-       readReal(file, &x);
-       LUT_ASSERT(fabs(x - 3e-1) < tol);
-       readReal(file, &x);
-       LUT_ASSERT(fabs(x - -1.0188) < tol);
-       fclose(file);
-}

diff --git a/old_C_code/stage1/test/lut.h b/old_C_code/stage1/test/lut.h
deleted file mode 100644 (file)
index 4e36e51..0000000
--- a/old_C_code/stage1/test/lut.h
+++ /dev/null
@@ -1,15 +0,0 @@
-#ifndef PPAM_LUT_H
-#define PPAM_LUT_H
-
-#include <stdio.h>
-
-// light, minimalist unit-testing "framework"
-
-#define LUT_ASSERT(condition)                                            \
-    do {                                                                 \
-        if ( !(condition) ) {                                            \
-            printf("Failure in file %s at line %i\n",__FILE__,__LINE__); \
-        }                                                                \
-    } while (0)
-
-#endif

diff --git a/old_C_code/stage1/test/main.c b/old_C_code/stage1/test/main.c
deleted file mode 100644 (file)
index 3d80af6..0000000
--- a/old_C_code/stage1/test/main.c
+++ /dev/null
@@ -1,39 +0,0 @@
-void t_serialize1();
-void t_serialize2();
-void t_deserialize1();
-void t_deserialize2();
-void t_compute_coefficients1();
-void t_compute_coefficients2();
-void t_pam1();
-void t_pam2();
-void t_pack1();
-void t_pack2();
-void t_unpack1();
-void t_unpack2();
-void t_rng1();
-void t_rng2();
-void t_utils1();
-void t_utils2();
-
-// list all unit tests here
-int main()
-{
-       t_serialize1();
-       t_serialize2();
-       t_deserialize1();
-       t_deserialize2();
-       //~ t_compute_coefficients1();
-       //~ t_compute_coefficients2();
-       t_pam1(); //may fail
-       t_pam2();
-       t_pack1();
-       t_pack2();
-       t_unpack1();
-       t_unpack2();
-       t_rng1(); //may fail
-       t_rng2();
-       t_utils1();
-       t_utils2();
-
-       return 0;
-}

diff --git a/old_C_code/stage1/test/tdata/integers.txt b/old_C_code/stage1/test/tdata/integers.txt
deleted file mode 100644 (file)
index 4803f02..0000000
--- a/old_C_code/stage1/test/tdata/integers.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-1234,-987,654321,12
-345678
--1234

diff --git a/old_C_code/stage1/test/tdata/reals.txt b/old_C_code/stage1/test/tdata/reals.txt
deleted file mode 100644 (file)
index ef894e6..0000000
--- a/old_C_code/stage1/test/tdata/reals.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-1234.056,987e-3,-654321E-2,12.34567
-345678
--1234.05
-3.0000000e-001,-1.0188000e+000

diff --git a/old_C_code/stage1/test/tdata/sample_byCols.bin b/old_C_code/stage1/test/tdata/sample_byCols.bin
deleted file mode 100644 (file)
index effa00e..0000000
Binary files a/old_C_code/stage1/test/tdata/sample_byCols.bin and /dev/null differ

diff --git a/old_C_code/stage1/test/tdata/sample_byCols.csv b/old_C_code/stage1/test/tdata/sample_byCols.csv
deleted file mode 100644 (file)
index 55d304e..0000000
--- a/old_C_code/stage1/test/tdata/sample_byCols.csv
+++ /dev/null
@@ -1,13 +0,0 @@
-FK_CCU_ID,CPP_DATE_PUISSANCE,CPP_PUISSANCE_CORRIGEE,CPP_PUISSANCE_BRUTE
-12301,12JAN2009:00:30:00,,23.051
-12301,12JAN2009:01:00:00,,33.052
-12301,12JAN2009:01:30:00,32.32,43.053
-50000,23MAR2009:00:30:00,,150.321
-50000,23MAR2009:01:00:00,,160.322
-50000,23MAR2009:01:30:00,11.1,140.323
-1313,30MAY2009:10:30:00,10.0,50.05
-1313,30MAY2009:11:00:00,,51.05
-1313,30MAY2009:11:30:00,,52.05
-6300,20JUL2009:08:30:00,,500.30
-6300,20JUL2009:09:00:00,,501.31
-6300,20JUL2009:09:30:00,1.001,502.32

diff --git a/old_C_code/stage1/test/tdata/sample_byRows.bin b/old_C_code/stage1/test/tdata/sample_byRows.bin
deleted file mode 100644 (file)
index 0bb324b..0000000
Binary files a/old_C_code/stage1/test/tdata/sample_byRows.bin and /dev/null differ

diff --git a/old_C_code/stage1/test/tdata/sample_byRows.csv b/old_C_code/stage1/test/tdata/sample_byRows.csv
deleted file mode 100644 (file)
index a91eafb..0000000
--- a/old_C_code/stage1/test/tdata/sample_byRows.csv
+++ /dev/null
@@ -1,4 +0,0 @@
-12301,23.051,,33.052,43.053
-50000,150.321,160.322,140.323
-1313,50.05,51.05,52.05
-6300,500.30,501.31,,502.32

diff --git a/old_C_code/stage2_UNFINISHED/src/00_convertir-donnnes_2009.r b/old_C_code/stage2_UNFINISHED/src/00_convertir-donnnes_2009.r
deleted file mode 100644 (file)
index bf2578b..0000000
--- a/old_C_code/stage2_UNFINISHED/src/00_convertir-donnnes_2009.r
+++ /dev/null
@@ -1,172 +0,0 @@
-## File : 00_convertir-donnnes_2009.r
-## Description : Converts flat EDF's 32K data into a full data matrix 
-##               layout [individuals, variables]. Rownames are EDF's ids.
-##               We process the original flat file sequentially by lines
-##               to avoid exceding the available RAM memory (and so avoiding
-##               swaping which is a computational burden).
-
-
-rm(list = ls())
-
-# setwd("~/ownCloud/projects/2014_EDF-Orsay-Lyon2/codes")
-
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2009", dates0)]
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-blocks <- c(rep(6000, 3), 7011)  # We'll process 1000 x p lines at each
-                                  # iteration of the reading loop
-
-## 2. Process the large flat file ####
-## We want to check that every time step recorded for each id.
-
-con <- file("~/tmp/data/2009.csv")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-rien <- readLines(con = con, n = 1); rm(rien) # Discard 1st line
-
-for(b in seq_along(blocks)){      # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb * length(dates))
-  auxmat <- matrix(unlist(strsplit(actual, ",")), ncol = 4, byrow = TRUE)
-  rm(actual)
-  auxdf  <- data.frame(id   = as.integer(auxmat[, 1]),
-                       date = auxmat[, 2],
-                       val  = as.numeric(
-                         ifelse(auxmat[,3] == "", auxmat[, 4], auxmat[, 3])))
-  rm(auxmat) # free up some space
-  
-  tab <- table(auxdf$id)
-  idtt <- NULL
-  for(tt in as.integer(names(which(tab < p)))) {  # id with less than p records!
-    print(tt)
-    idtt <- c(idtt, which(auxdf$id == tt))
-  }
-  
-  idmat         <- matrix(auxdf$id[-idtt], ncol = p, byrow = TRUE)
-  alldatesperid <- apply(idmat[-idtt, ], 1, sd) == 0
-  valmat        <- matrix(auxdf$val[-idtt], ncol = p, byrow = TRUE)
-  
-  # store separatelly full records from partial records
-  write.table(file = paste0("~/tmp/2009_full_", b, ".txt"), valmat,
-              row.names = idmat[, 1], col.names = FALSE) 
-  write.table(file = paste0("~/tmp/2009_partial_", b, ".txt"), auxdf[idtt, ])
-}
-
-close(con)                      # close connection to the file
-
-rm(auxdf, idmat, valmat, alldatesperid, b,  # clean up some memory
-   idtt, blocks, tab, tt, con)
-
-
-## 3. Complete partial records ####
-## After analysis, partial records are only 119 clients from which one only
-## time step (01JAN2009:00:00:00) is lacking.
-
-df_partial <- NULL
-for(f in list.files("~/tmp/", "2009_partial_*")) 
-  df_partial <- rbind(df_partial, read.table(paste0('~/tmp/', f)))
-
-tab <- table(df_partial$id)
-id_incomp <- as.integer(names(which(tab < p))) # Incomplete records
-
-df_partial_full <- rbind(df_partial, 
-                         data.frame(id   = id_incomp,
-                                    date = "01JAN2009:00:00:00",  
-                                    val  = NA))
-
-rm(df_partial)
-
-# tab2 <- table(df_partial_full$id)  # Check that df_partial_full is full
-# head(sort(tab2))
-
-
-## 4. Reorder the lines to get the data matrix ####
-## As we paste chunks of partial records and impute some time steps,
-## the original order of the data is broken. We fix it by reordering
-## the ids and then the data.
-
-idx_ordered <- order(df_partial_full$id)             # order ids
-df_partial_full2 <- df_partial_full[idx_ordered, ] 
-rm(df_partial_full)
-
-# Order data values following the correct dates (as the date is a factor
-# we need to seek for each value: this is computationnaly innefficient).
-
-valmat  <- matrix(df_partial_full2$val,  ncol = p, byrow = TRUE)
-datemat <- matrix(df_partial_full2$date, ncol = p, byrow = TRUE)
-idmat   <- matrix(df_partial_full2$id,   ncol = p, byrow = TRUE)
-
-# Use this for as a check by running it twice. On the second run no
-# printing should be done (because records should be ordered).
-for(line in 1:nrow(datemat)) {
-  if(any(datemat[line, ] != dates)) { # TRUE is line is not ordered
-    cat(sprintf("\nline %i is not ordered", line))
-    
-    neworder         <- match(dates, datemat[line, ])
-    valmat[line , ]  <- valmat[ line, neworder]
-    datemat[line , ] <- datemat[line, neworder]
-  } 
-}
-
-
-## 5. Write on disk the full data matrix of partial records ####
-
-write.table(file = "~/tmp/2009_full_Z.txt", valmat, 
-            row.names = idmat[, 1], col.names = FALSE) 
-rm(list = ls())
-gc()
-
-## 6. Compile data files in BASH ####
-
-# cat 2009_full*.txt > 2009_full.txt
-# rm 2009_full_*.txt 2009_partial_*.txt
-
-
-## A. data.table & reshape2 #### 
-## When large RAM memory is available, one could use this code to process
-## everything in memory.
-
-#library(data.table)
-#library(reshape2)
-
-#dt <- fread(input  = "~/tmp/data/2009_chunk.csv")
-
-#dt[, charge := ifelse(is.na(CPP_PUISSANCE_CORRIGEE), 
-#                      CPP_PUISSANCE_BRUTE,
-#                      CPP_PUISSANCE_CORRIGEE), ]
-#dt[, CPP_PUISSANCE_CORRIGEE := NULL]
-#dt[, CPP_PUISSANCE_BRUTE := NULL]
-
-#dt2 <- dcast.data.table(data = dt, CPP_DATE_PUISSANCE + FK_CCU_ID ~ charge)
-
-
-## Z. Probably stuff to be deleted 
-
-# searchpos <- function(row) {
-#   str  <- strsplit(row, ",")
-#   
-#   auxmat <- matrix(unlist(str), ncol = 4, byrow = TRUE); rm(str)
-#   
-#   auxdf  <- data.frame(id   = as.integer(auxmat[, 1]),
-#                        date = auxmat[, 2],
-#                        val  = as.numeric(
-#                          ifelse(auxmat[,3] == "", auxmat[, 4], auxmat[, 3]))
-#   )
-#   rm(auxmat)
-#   
-#   idmat <- matrix(auxdf$id, ncol = length(dates), byrow = TRUE)
-#   alldatesperid <- apply(idmat, 1, sd) == 0
-#   
-#   
-#   #  lines <- match(auxdf$id, identifiants)
-#   #  cols  <- match(auxdf$date, dates)
-#   
-#   return(cbind(lines, cols, auxdf$val))
-# }

diff --git a/old_C_code/stage2_UNFINISHED/src/00_convertir-donnnes_2010.r b/old_C_code/stage2_UNFINISHED/src/00_convertir-donnnes_2010.r
deleted file mode 100644 (file)
index 1f2326b..0000000
--- a/old_C_code/stage2_UNFINISHED/src/00_convertir-donnnes_2010.r
+++ /dev/null
@@ -1,174 +0,0 @@
-## File : 00_convertir-donnnes_2010.r
-## Description : Converts flat EDF's 32K data into a full data matrix 
-##               layout [individuals, variables]. Rownames are EDF's ids.
-##               We process the original flat file sequentially by lines
-##               to avoid exceding the available RAM memory (and so avoiding
-##               swaping which is a computational burden).
-
-
-rm(list = ls())
-
-setwd("~/ownCloud/projects/2014_EDF-Orsay-Lyon2/codes/")
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2010", dates0)]
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-blocks <- c(rep(1000, 24), 1011)  # We'll process 1000 x p lines at each
-                                  # iteration of the reading loop
-
-## 2. Process the large flat file ####
-## We want to check that every time step recorded for each id.
-
-con <- file("~/tmp/data/2010.csv")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-rien <- readLines(con = con, n = 1); rm(rien) # Discard 1st line
-
-for(b in seq_along(blocks)){      # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb * length(dates))
-  auxmat <- matrix(unlist(strsplit(actual, ",")), ncol = 4, byrow = TRUE)
-  rm(actual)
-  auxdf  <- data.frame(id   = as.integer(auxmat[, 1]),
-                       date = auxmat[, 2],
-                       val  = as.numeric(
-                         ifelse(auxmat[,3] == "", auxmat[, 4], auxmat[, 3])))
-  rm(auxmat) # free up some space
-  
-  tab <- table(auxdf$id)
-  idtt <- NULL
-  for(tt in as.integer(names(which(tab < p)))) {  # id with less than p records!
-    print(tt)
-    idtt <- c(idtt, which(auxdf$id == tt))
-  }
-  
-  if(is.null(idtt)) { # no incomplete records
-    idmat         <- matrix(auxdf$id, ncol = p, byrow = TRUE)
-    alldatesperid <- apply(idmat, 1, sd) == 0
-    valmat        <- matrix(auxdf$val, ncol = p, byrow = TRUE)
-  } else {
-    idmat         <- matrix(auxdf$id[-idtt], ncol = p, byrow = TRUE)
-    alldatesperid <- apply(idmat[-idtt, ], 1, sd) == 0
-    valmat        <- matrix(auxdf$val[-idtt], ncol = p, byrow = TRUE)
-    
-    # store separatelly partial records
-    write.table(file = paste0("~/tmp/2010_partial_", b, ".txt"), auxdf[idtt, ])
-  }
-  
-  # store full records
-  write.table(file = paste0("~/tmp/2010_full_", b, ".txt"), valmat,
-              row.names = idmat[, 1], col.names = FALSE) 
-}
-
-close(con)                      # close connection to the file
-
-rm(auxdf, idmat, valmat, alldatesperid, b,  # clean up some memory
-   idtt, blocks, tab, tt, con)
-
-
-## 3. Complete partial records ####  NOT NECESSARY FOR 2010
-## After analysis, partial records are only 119 clients from which one only
-## time step (01JAN2009:00:00:00) is lacking.
-
-#df_partial <- NULL
-#for(f in list.files("~/tmp/", "2009_partial_*")) 
-#  df_partial <- rbind(df_partial, read.table(paste0('~/tmp/', f)))
-
-#tab <- table(df_partial$id)
-#id_incomp <- as.integer(names(which(tab < p))) # Incomplete records
-
-#df_partial_full <- rbind(df_partial, 
-#                         data.frame(id   = id_incomp,
-#                                    date = "01JAN2009:00:00:00",  
-#                                    val  = NA))
-
-#rm(df_partial)
-
-# tab2 <- table(df_partial_full$id)  # Check that df_partial_full is full
-# head(sort(tab2))
-
-
-## 4. Reorder the lines to get the data matrix #### NOT NECESSARY FOR 2010
-## As we paste chunks of partial records and impute some time steps,
-## the original order of the data is broken. We fix it by reordering
-## the ids and then the data.
-
-#idx_ordered <- order(df_partial_full$id)             # order ids
-#df_partial_full2 <- df_partial_full[idx_ordered, ] 
-#rm(df_partial_full)
-
-# Order data values following the correct dates (as the date is a factor
-# we need to seek for each value: this is computationnaly innefficient).
-
-#valmat  <- matrix(df_partial_full2$val,  ncol = p, byrow = TRUE)
-#datemat <- matrix(df_partial_full2$date, ncol = p, byrow = TRUE)
-#idmat   <- matrix(df_partial_full2$id,   ncol = p, byrow = TRUE)
-
-# Use this for as a check by running it twice. On the second run no
-# printing should be done (because records should be ordered).
-#for(line in 1:nrow(datemat)) {
-#  if(any(datemat[line, ] != dates)) { # TRUE is line is not ordered
-#    cat(sprintf("\nline %i is not ordered", line))
-#    
-#    neworder         <- match(dates, datemat[line, ])
-#    valmat[line , ]  <- valmat[ line, neworder]
-#    datemat[line , ] <- datemat[line, neworder]
-#  } 
-#}
-
-
-## 5. Write on disk the full data matrix of partial records ####
-
-#write.table(file = "~/tmp/2009_full_Z.txt", valmat, 
-#            row.names = idmat[, 1], col.names = FALSE) 
-rm(list = ls())
-gc()
-
-
-## A. data.table & reshape2 #### 
-## When large RAM memory is available, one could use this code to process
-## everything in memory.
-
-#library(data.table)
-#library(reshape2)
-
-#dt <- fread(input  = "~/tmp/data/2009_chunk.csv")
-
-#dt[, charge := ifelse(is.na(CPP_PUISSANCE_CORRIGEE), 
-#                      CPP_PUISSANCE_BRUTE,
-#                      CPP_PUISSANCE_CORRIGEE), ]
-#dt[, CPP_PUISSANCE_CORRIGEE := NULL]
-#dt[, CPP_PUISSANCE_BRUTE := NULL]
-
-#dt2 <- dcast.data.table(data = dt, CPP_DATE_PUISSANCE + FK_CCU_ID ~ charge)
-
-
-## Z. Probably stuff to be deleted 
-
-# searchpos <- function(row) {
-#   str  <- strsplit(row, ",")
-#   
-#   auxmat <- matrix(unlist(str), ncol = 4, byrow = TRUE); rm(str)
-#   
-#   auxdf  <- data.frame(id   = as.integer(auxmat[, 1]),
-#                        date = auxmat[, 2],
-#                        val  = as.numeric(
-#                          ifelse(auxmat[,3] == "", auxmat[, 4], auxmat[, 3]))
-#   )
-#   rm(auxmat)
-#   
-#   idmat <- matrix(auxdf$id, ncol = length(dates), byrow = TRUE)
-#   alldatesperid <- apply(idmat, 1, sd) == 0
-#   
-#   
-#   #  lines <- match(auxdf$id, identifiants)
-#   #  cols  <- match(auxdf$date, dates)
-#   
-#   return(cbind(lines, cols, auxdf$val))
-# }

diff --git a/old_C_code/stage2_UNFINISHED/src/01_extract-features_2009.r b/old_C_code/stage2_UNFINISHED/src/01_extract-features_2009.r
deleted file mode 100644 (file)
index 99ab8c5..0000000
--- a/old_C_code/stage2_UNFINISHED/src/01_extract-features_2009.r
+++ /dev/null
@@ -1,58 +0,0 @@
-## File : 01_extract-features_2009.r
-## Description : Using the full data matrix, we extract handy features to
-##               cluster.
-
-rm(list = ls())
-
-source('http://eric.univ-lyon2.fr/~jcugliari/codes/functional-clustering.r')
-setwd("~/ownCloud/projects/2014_EDF-Orsay-Lyon2/codes/")
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2009", dates0)]
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-blocks <- c(rep(6500, 3), 5511)  
-
-# table( substr(dates, 11, 15) ) # Sunlight time saving produces an 
-                                 # unbalanced number of time points
-                                 # per time stepa across the year
-
-
-## 2. Process the large file ####
-
-close(con)
-con <- file("~/tmp/2009_full.txt")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-
-for(b in seq_along(blocks)){        # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb )
-  auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
-  rm(actual)
-
-  datamat <- t(apply(auxmat[, -1], 1, as.numeric))
-  rownames(datamat) <- substr(auxmat[, 1], 2, 7)
-  rm(auxmat)
-
-  auxDWT <- t(apply(datamat, 1, toDWT))
-  auxcontrib <- t(apply(auxDWT,  1, contrib))
-  rm(auxDWT)
-  
-  if(b == 1) {
-    matcontrib <- auxcontrib
-  } else {
-    matcontrib <- rbind(matcontrib, auxcontrib)
-  }
-  
-}
-
-close(con)                      # close connection to the file
-
-write.table(matcontrib, file = "~/tmp/2009_contrib.txt")
-

diff --git a/old_C_code/stage2_UNFINISHED/src/01_extract-features_2010.r b/old_C_code/stage2_UNFINISHED/src/01_extract-features_2010.r
deleted file mode 100644 (file)
index a1d7d49..0000000
--- a/old_C_code/stage2_UNFINISHED/src/01_extract-features_2010.r
+++ /dev/null
@@ -1,54 +0,0 @@
-## File : 01_extract-features_2010.r
-## Description : Using the full data matrix, we extract handy features to
-##               cluster.
-
-rm(list = ls())
-
-source('http://eric.univ-lyon2.fr/~jcugliari/codes/functional-clustering.r')
-setwd("~/ownCloud/projects/2014_EDF-Orsay-Lyon2/codes/")
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2010", dates0)]
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-blocks <- c(rep(6500, 3), 5511)  
-
-
-## 2. Process the large file ####
-
-close(con)
-con <- file("~/tmp/2010_full.txt")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-
-for(b in seq_along(blocks)){        # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb )
-  auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
-  rm(actual)
-
-  datamat <- t(apply(auxmat[, -1], 1, as.numeric))
-  rownames(datamat) <- substr(auxmat[, 1], 2, 7)
-  rm(auxmat)
-
-  auxDWT <- t(apply(datamat, 1, toDWT))
-  auxcontrib <- t(apply(auxDWT,  1, contrib))
-  rm(auxDWT)
-  
-  if(b == 1) {
-    matcontrib <- auxcontrib
-  } else {
-    matcontrib <- rbind(matcontrib, auxcontrib)
-  }
-  
-}
-
-close(con)                      # close connection to the file
-
-write.table(matcontrib, file = "~/tmp/2010_contrib.txt")
-

diff --git a/old_C_code/stage2_UNFINISHED/src/02_cluster_2009.r b/old_C_code/stage2_UNFINISHED/src/02_cluster_2009.r
deleted file mode 100644 (file)
index 3514ce7..0000000
--- a/old_C_code/stage2_UNFINISHED/src/02_cluster_2009.r
+++ /dev/null
@@ -1,89 +0,0 @@
-## File: extract-features.r
-
-rm(list = ls())
-
-## a. Load data & libraries ####
-
-library(cluster)
-MOJARRITA <- Sys.info()[4] ==  "mojarrita"
-
-#source('http://eric.univ-lyon2.fr/~jcugliari/codes/functional-clustering.r')
-source('01_StBr.r')
-
-if(MOJARRITA){ 
-  setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-} else {
-  setwd("~/ownCloud/projects/2014_EDF-Orsay-Lyon2/codes/")
-}
-
-
-matcontrib0 <- read.table(file = "~/tmp/2009_contrib.txt")
-n     <- nrow(matcontrib0)
-
-sdcontrib <- apply(matcontrib0, 1, sd)
-lims      <- quantile(sdcontrib, probs = c(.005, .995)) # obtain 1%-extreme data
-is_normal <- which((sdcontrib > lims[1]) & (sdcontrib < lims[2]))
-
-matcontri_ext <- matcontrib0[-is_normal, ]#""
-matcontrib    <- matcontrib0[is_normal, ]     # wipe out aberrant data
-
-matcontrib <- t(apply(matcontrib, 1, function(x) x / sum(x)))
-matcontrib <- t(apply(matcontrib, 1, function(p) log(p / (1 - p)) ))
-
-
-## b. Transform data & compute CI ####
-ci     <- CI(matcontrib)
-tdata  <- ci$tdata; rownames(tdata) <- rownames(matcontrib)
-selvar <- ci$selectv
-  
-## c. Clustering  ##########
-K <- 200
-system.time(
-
-#TODO: cette partie en C
-
-  clfit <- clara(x        = tdata[, selvar], 
-                 k        = K, 
-                 sampsize = 4000, 
-                 samples  = 4, 
-                 rngR     = TRUE)
-)
-
-#save(clfit, file = 'clfit500.Rdata')
-# save(clfit, file = 'clfit200RC.Rdata')
-save(clfit, file = 'clfit200.Rdata')
-
-rm(ci, matcontrib0, is_normal, lims, selvar)
-gc()
-
-## d. Analyze results  ##########
-
-#1. Répartition du nombre d'observation par cluster
-#plot(sort(table(clfit$clustering), decreasing = TRUE), 
-#     type = 'l', ylab = 'Fréquence', xlab = 'Classe')
-
-
-#clust <- res$clustering
-#  centres <- aggregate(conso, clust)
-#  table(clust)
-  
-  #sel_veille    <- as.Date(rownames(conso)[sel - 1])
-  #sel_lendemain <- as.Date(rownames(conso)[sel + 1])
-  
-  #res_clust <- data.frame(date     = rownames(conso),
-                          #veille    = weekdays(sel_veille),
-                          #lendemain = weekdays(sel_lendemain),
-  #                        clust     = clust)
-  
-  #for(k in 1:K) {
-  #  assign(paste0("dates_clust", K),
-  #         substr(subset(res_clust, clust == k)$date, 1, 7) )
-  #}
-  
-  #dev.off()
-  
-  #save(file = paste0(dtitle, "_clust.Rdata"), 
-       #res_clust, selvar, K, gap)
-#}
-
-#dates_clust1 <- substr(subset(dates, clust == 1)$date, 1, 7)

diff --git a/old_C_code/stage2_UNFINISHED/src/03_compute-sums-of-classes_2009.r b/old_C_code/stage2_UNFINISHED/src/03_compute-sums-of-classes_2009.r
deleted file mode 100644 (file)
index 20d2d18..0000000
--- a/old_C_code/stage2_UNFINISHED/src/03_compute-sums-of-classes_2009.r
+++ /dev/null
@@ -1,80 +0,0 @@
-## File : 03_compute-sum-of-classes_2009.r
-## Description : Calculer les synchrones pour chaque groupe obtenu par le
-##               clustering. 
-
-rm(list = ls())
-
-setwd("~/ownCloud/projects/2014_EDF-Orsay-Lyon2/codes/")
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2009", dates0)]
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-blocks <- c(rep(6500, 3), 5511)  
-
-# Fit of the clustering : clfit 
-#load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit500.Rdata')
-#load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit200.Rdata')
-load('../res/clfit200RC.Rdata')
-#  table(clfit$clustering)
-
-names(clfit$clustering) <- sample(names(clfit$clustering))# for random classes
-dfclust <- data.frame(cluster = clfit$clustering)
-# write.table(dfclust, file = "../res/clfit200-random.txt")
-
-K       <- nrow(clfit$clusinfo)
-#dfclust <- head(dfclust, 50)           # just for testing purpouses
-synchros <- matrix(0, ncol = p, nrow = K)
-rm(clfit)
-                   
-## 2. Process the large file ####
-
-close(con)
-con <- file("~/tmp/2009_full.txt")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-
-for(b in seq_along(blocks)){        # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb )
-  auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
-  rm(actual)
-
-  datamat <- t(apply(auxmat[, -1], 1, as.numeric))
-  rownames(datamat) <- substr(auxmat[, 1], 2, 7)
-  rm(auxmat)
-
-  # obtain for each line of datamat the cluster membership (if any)
-  clustfactor <- dfclust$cluster[match(rownames(datamat), rownames(dfclust))] 
-  
-#  if(length(which(rownames(datamat) == "218095"))>0) print(b);
-  
-
-  #TODO: en C : lourd
-  for(k in 1:K){ 
-    clustk <- which(clustfactor == k)
-    if(length(clustk) > 0) {
-    
-    if(length(clustk) > 1) {
-      synchrosk <- colSums(datamat[which(clustfactor == k), ])
-    } else {
-      synchrosk <- datamat[which(clustfactor == k), ]
-    }
-    synchros[k, ] <- synchros[k, ] + synchrosk
-    rm(synchrosk)
-    }
-  }
-}
-
-close(con)                # close connection to the file
-
-synchros <- data.frame(t(synchros), total = colSums(synchros))
-
-# write.table(synchros, file = "~/tmp/2009_synchros200RC.txt")
-# write.table(synchros, file = "~/tmp/2009_synchros200-random.txt")
-

diff --git a/old_C_code/stage2_UNFINISHED/src/05_cluster2stepWER.r b/old_C_code/stage2_UNFINISHED/src/05_cluster2stepWER.r
deleted file mode 100644 (file)
index aa35d0c..0000000
--- a/old_C_code/stage2_UNFINISHED/src/05_cluster2stepWER.r
+++ /dev/null
@@ -1,239 +0,0 @@
-## File : 05_cluster2stepWER.r
-## Description : 
-
-rm(list = ls())
-
-setwd("~/ownCloud/projects/2014_EDF-Orsay-Lyon2/codes/")
-  
-library(Rwave)       # CWT
-library(cluster)     # pam
-#library(flexclust)   # kcca
-source("aux.r")               # auxiliary clustering functions 
-
-#TODO: [plus tard] alternative à sowa (package disparu) : cwt..
-source("sowas-superseded.r")  # auxiliary CWT functions
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- as.character(dates0[grep("2009", dates0)])
-rm(dates0)
-
-n     <- length(identifiants)
-p <- delta <- length(dates)
-
-synchros09 <- t(as.matrix(read.table("~/tmp/2009_synchros200RC.txt")))
-#synchros09 <- t(as.matrix(read.table("~/tmp/2009_synchros200-random.txt")))
-
-nas <- which(is.na(synchros09)[, 1]) # some 1/1/2009 are missing
-synchros09[nas, 1] <- rowMeans(synchros09[nas, 2:4]) #valeurs après 1er janvier
-
-#moyenne pondérée pour compléter deux demi-heures manquantes
-imput09 <- synchros09[, 4180:4181] %*% matrix(c(2/3, 1/3, 1/3, 2/3), 2)
-synchros09 <- cbind(synchros09[, 1:4180], imput09, synchros09[, 4181:17518])
-
-conso <- synchros09[-201, ];  # series must be on rows 
-n     <- nrow(conso)
-delta <- ncol(conso)
-
-rm(synchros09, nas)
-
-## 2. Compute WER distance matrix ####
-
-## _.a CWT -- Filtering the lowest freqs (>6m) ####
-nvoice   <- 4
-# # noctave4 = 2^13 = 8192 half hours ~ 180 days
-noctave4 <- adjust.noctave(N = delta, dt = 1, s0 = 2,
-                           tw = 0, noctave = 13)
-# # 4 here represent 2^5 = 32 half-hours ~ 1 day
-scalevector4  <- 2^(4:(noctave4 * nvoice) / nvoice) * 2
-lscvect4      <- length(scalevector4)
-lscvect <- lscvect4  # i should clean my code: werFam demands a lscvect
-
-
-#(Benjamin)
-#à partir de là, "conso" == courbes synchrones
-n     <- nrow(conso)
-delta <- ncol(conso)
-
-
-#17000 colonnes coeff 1, puis 17000 coeff 2... [non : dans chaque tranche du cube]
-
-#TODO: une fonction qui fait lignes 59 à 91
-
-#cube:
-# Xcwt4   <- toCWT(conso, noctave = noctave4, dt = 1,
-#                 scalevector = scalevector4,
-#                 lt = delta, smooth = FALSE, 
-#                 nvoice = nvoice)      # observations node with CWT
-# 
-# #matrix:
-# ############Xcwt2 <- matrix(0.0, nrow= n, ncol= 2 + delta * lscvect)
-# #Xcwt2 <- matrix(NA_complex_, nrow= n, ncol= 2 + length((c(Xcwt4[,,1]))))
-# 
-# #NOTE: delta et lscvect pourraient etre gardés à part (communs)
-# for(i in 1:n) 
-#  Xcwt2[i,] <- c(delta, lscvect, Xcwt4[,,i] / max(Mod(Xcwt4[,,i])) ) 
-# 
-# #rm(conso, Xcwt4); gc()
-# 
-# ## _.b WER^2 distances  ########
-# Xwer_dist    <- matrix(0.0, n, n)
-# for(i in 1:(n - 1)){
-#  mat1   <- vect2mat(Xcwt2[i,])
-#  for(j in (i + 1):n){
-#     mat2 <- vect2mat(Xcwt2[j,])
-#     num     <- Mod(mat1 * Conj(mat2))
-#     WX      <- Mod(mat1 * Conj(mat1))
-#     WY      <- Mod(mat2 * Conj(mat2))
-#     smsmnum <- smCWT(num, scalevector = scalevector4)
-#     smsmWX  <- smCWT(WX,  scalevector = scalevector4)
-#     smsmWY  <- smCWT(WY,  scalevector = scalevector4)
-#     wer2    <- sum(colSums(smsmnum)^2)  /
-#       sum( sum(colSums(smsmWX) * colSums(smsmWY)) )
-#     Xwer_dist[i, j] <- sqrt(delta * lscvect * (1 - wer2))
-#     Xwer_dist[j, i] <- Xwer_dist[i, j]
-#   }
-# }
-# diag(Xwer_dist) <- numeric(n)
-# 
-# save(Xwer_dist, file = "../res/2009_synchros200WER.Rdata")
-# save(Xwer_dist, file = "../res/2009_synchros200-randomWER.Rdata")
-
-
-
-#lignes 59 à 91 "dépliées" :
-Xcwt4   <- toCWT(conso, noctave = noctave4, dt = 1,
-                 scalevector = scalevector4,
-                 lt = delta, smooth = FALSE, 
-                 nvoice = nvoice)      # observations node with CWT
- 
- #matrix:
- ############Xcwt2 <- matrix(0.0, nrow= n, ncol= 2 + delta * lscvect)
- Xcwt2 <- matrix(NA_complex_, nrow= n, ncol= 2 + length((c(Xcwt4[,,1]))))
- 
- #NOTE: delta et lscvect pourraient etre gardés à part (communs)
- for(i in 1:n) 
-    Xcwt2[i,] <- c(delta, lscvect, Xcwt4[,,i] / max(Mod(Xcwt4[,,i])) ) 
- 
- #rm(conso, Xcwt4); gc()
- 
- ## _.b WER^2 distances  ########
- Xwer_dist    <- matrix(0.0, n, n)
- for(i in 1:(n - 1)){
-  mat1   <- vect2mat(Xcwt2[i,])
-
- #NOTE: vect2mat = as.matrix ?! (dans aux.R)
-  vect2mat <- function(vect){
-                 vect <- as.vector(vect)
-                 matrix(vect[-(1:2)], delta, lscvect)
-               }
- 
- for(j in (i + 1):n){
-     mat2 <- vect2mat(Xcwt2[j,])
-     num     <- Mod(mat1 * Conj(mat2))
-     WX      <- Mod(mat1 * Conj(mat1))
-     WY      <- Mod(mat2 * Conj(mat2))
-     smsmnum <- smCWT(num, scalevector = scalevector4)
-     smsmWX  <- smCWT(WX,  scalevector = scalevector4)
-     smsmWY  <- smCWT(WY,  scalevector = scalevector4)
-     wer2    <- sum(colSums(smsmnum)^2)  /
-       sum( sum(colSums(smsmWX) * colSums(smsmWY)) )
-     Xwer_dist[i, j] <- sqrt(delta * lscvect * (1 - wer2))
-     Xwer_dist[j, i] <- Xwer_dist[i, j]
-   }
- }
- diag(Xwer_dist) <- numeric(n)
-
-#fonction smCWT (dans aux.R)
-  smCWT <- function(CWT, sw=  0,  tw=  0, swabs= 0,
-                       nvoice= 12, noctave= 2, s0= 2, w0= 2*pi, 
-                                          lt= 24, dt= 0.5, scalevector )
-                {
-#         noctave  <- adjust.noctave(lt, dt, s0, tw, noctave)
-#         scalevector  <- 2^(0:(noctave * nvoice) / nvoice) * s0
-         wsp     <- Mod(CWT)  
-         smwsp   <- smooth.matrix(wsp, swabs)
-         smsmwsp <- smooth.time(smwsp, tw, dt, scalevector)
-         smsmwsp
-       }
-
- #dans sowas.R
-smooth.matrix <- function(wt,swabs){
-  
-  if (swabs != 0)
-    smwt <- t(filter(t(wt),rep(1,2*swabs+1)/(2*swabs+1)))
-  else
-    smwt <- wt
-  
-  smwt
-  
-}
-smooth.time <- function(wt,tw,dt,scalevector){
-  
-  smwt <- wt
-  
-  if (tw != 0){
-    for (i in 1:length(scalevector)){
-      
-      twi <- as.integer(scalevector[i]*tw/dt)
-      smwt[,i] <- filter(wt[,i],rep(1,2*twi+1)/(2*twi+1))
-      
-    }
-  } 
-  smwt
-}
-
-#et filter() est dans stats::
-
-#cf. filters en C dans : https://svn.r-project.org/R/trunk/src/library/stats/src/filter.c
-
-
-
-load("../res/2009_synchros200WER.Rdata")
-#load("../res/2009_synchros200-randomWER.Rdata")
-
-## 3. Cluster using WER distance matrix ####
- 
-#hc    <- hclust(as.dist(Xwer_dist), method = "ward.D")
-#plot(hc)
-# 
-# #clust <- cutree(hc, 2)
-# 
-for(K in 2:30){ 
-  #K <- 3
-  #pamfit <- pam(tdata[-201, ci$selectv], k = K)
-  pamfit <- pam(as.dist(Xwer_dist), k = K, diss = TRUE)
-  
-  #table(pamfit$clustering)
-
-  SC <- matrix(0, ncol = p, nrow = K)
-
-  clustfactor <- pamfit$clustering
-#  for(k in 1:K){ 
-#    clustk <- which(clustfactor == k)
-#  if(length(clustk) > 0) {
-#    if(length(clustk) > 1) {
-#      SCk <- colSums(synchros09[which(clustfactor == k), ])
-#      } else {
-#        SCk <- synchros09[which(clustfactor == k), ]
-#      }
-#      SC[k, ] <- SC[k, ] + SCk
-#      rm(SCk)
-#  }
-#}
-
-#write.table(clustfactor, file = paste0("~/tmp/clustfactorRC", K, ".txt"))
-#write.table(clustfactor, file = "~/tmp/clustfactor3.txt")
-#write.table(clustfactor, file = paste0("~/tmp/clustfactorWER", K, ".txt"))
-write.table(clustfactor, file = paste0("~/tmp/clustfactor-randomWER", K, ".txt"))
-}
-# 
-# # Plots
-# layout(1)
-# matplot(t(SC)[48*10 + 1:(48*30), ],  type = 'l', ylab = '',col = 1:3, lty = 1)
-# matplot(t(SC)[48*100 + 1:(48*30), ], type = 'l', ylab = '', col = 1:3, lty = 1)
-# 
-# 
-# 

diff --git a/old_C_code/stage2_UNFINISHED/src/06_predictions.r b/old_C_code/stage2_UNFINISHED/src/06_predictions.r
deleted file mode 100644 (file)
index 6697161..0000000
--- a/old_C_code/stage2_UNFINISHED/src/06_predictions.r
+++ /dev/null
@@ -1,204 +0,0 @@
-## File : 06_predictions.r
-## Description : Calculer les synchrones pour chaque groupe 
-##               obtenu par le clustering. 
-
-rm(list = ls())
-
-setwd("~/ownCloud/projects/2014_EDF-Orsay-Lyon2/codes/")
-
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates09      <- as.character(dates0[grep("2009", dates0)])
-dates10      <- as.character(dates0[grep("2010", dates0)])
-dates        <- c(dates09, dates10)
-rm(dates0, dates09, dates10)
-
-n <- length(identifiants)
-p <- length(dates)
-
-# groups for the predictor
-gr_calen <- read.table("calendar_transition_groups-1996-2011.txt")
-i_start_calen <- which(rownames(gr_calen) == "2009-01-01")
-i_end_calen   <- which(rownames(gr_calen) == "2010-12-31")
-gr <- gr_calen$gr[i_start_calen:i_end_calen]
-gr <- gsub("Thu", "TWT", gr)
-gr <- gsub("Wed", "TWT", gr)
-gr <- gsub("Tue", "TWT", gr)
-
-days <- seq.Date(from = as.Date("2009/01/01"),
-                 to   = as.Date("2010/12/31"),
-                 by   = 'day')
-
-#synchros09 <- as.matrix(read.table("~/tmp/2009_synchros200.txt"))
-#synchros10 <- as.matrix(read.table("~/tmp/2010_synchros200.txt"))
-#synchros09 <- as.matrix(read.table("~/tmp/2009_synchros200RC.txt"))
-#synchros10 <- as.matrix(read.table("~/tmp/2010_synchros200RC.txt"))
-synchros09 <- as.matrix(read.table("~/tmp/2009_synchros200-random.txt"))
-synchros10 <- as.matrix(read.table("~/tmp/2010_synchros200-random.txt"))
-
-
-synchros09 <- t(synchros09) # series must be on rows
-synchros10 <- t(synchros10) # series must be on rows
-
-## 2. Imputation of missing values #### 
-#     (done by linear interpolation)
-nas <- which(is.na(synchros09)[, 1]) # some 1/1/2009 are missing
-synchros09[nas, 1] <- rowMeans(synchros09[nas, 2:4])
-
-imput09 <- synchros09[, 4180:4181] %*% matrix(c(2/3, 1/3, 1/3, 2/3), 2)
-imput10 <- synchros10[, 4132:4133] %*% matrix(c(2/3, 1/3, 1/3, 2/3), 2)
-
-synchros09 <- cbind(synchros09[, 1:4180], imput09, synchros09[, 4181:17518])
-synchros10 <- cbind(synchros10[, 1:4132], imput10, synchros10[, 4133:17518])
-
-
-rm(imput09, imput10, nas)
-rm(gr_calen, i_start_calen, i_end_calen)
-
-# Set start and end timepoints for the prediction
-i_00      <- which(days == "2009-01-01")
-n_00      <- which(days == "2009-12-31") 
-n_01      <- which(days == "2010-12-31")
-
-
-## 3. Construct predictors ####
-library(kerwavfun)
-synchros <- (cbind( synchros09, synchros10 ))[-201, ]
-
-#clustfactors <- dir("~/tmp/", pattern = 'clustfactorAC')
-#clustfactors <- dir("~/tmp/", pattern = 'clustfactorRC')
-#clustfactors <- dir("~/tmp/", pattern = 'clustfactorWER')
-#clustfactors <- dir("~/tmp/", pattern = 'clustfactorRANDOM')
-clustfactors <- dir("~/tmp/", pattern = 'clustfactor-randomWER')
-
-maxK <- length(clustfactors) - 1
-
-performK <- data.frame(K    = rep(NA_real_, maxK),
-                       mape = rep(NA_real_, maxK),
-                       rmse = rep(NA_real_, maxK))
-
-setwd("~/tmp/")
-for(cf in seq_along(clustfactors)) { 
-#  clustfactor <- read.table(file = "~/tmp/clustfactor3.txt")
-  clustfactor <- read.table(file = clustfactors[cf])
-
-  K <- nrow(unique(clustfactor))
-
-  performK[cf, 1] <- K
-
-  SC <- matrix(0, ncol = ncol(synchros), nrow = K)
-  for(k in 1:K){ 
-    clustk <- which(clustfactor == k)
-    if(length(clustk) > 0) {
-      if(length(clustk) > 1) {
-        SCk <- colSums(synchros[which(clustfactor == k), ])
-      } else {
-        SCk <- synchros[which(clustfactor == k), ]
-      }
-      SC[k, ] <- SC[k, ] + SCk
-      rm(SCk)
-    }
-  }
-
-  mat_Load <- matrix(colSums(SC),   ncol = 48, byrow = TRUE)
-  mat_ks   <- lapply(1:K, function(k) matrix(SC[k, ], ncol = 48, byrow = TRUE))
-
-
-  ## 2. Transform to wkdata (performs DWT) ##
- 
-  wk_Load <- wkdata(X  = c(t(mat_Load)), 
-                    gr = gr[1:nrow(mat_Load)], 
-                    p  = 48)
-
-  wks <- lapply(mat_ks, function(mat_k) 
-          wkdata(X = c(t(mat_k)), gr = gr[1:nrow(mat_Load)], p = 48))
-
-  ## 3. Begin of big loop over ##
-  grid <- n_00:(n_01 - 1) # these are the reference days
-  #h_Load <- h_k1 <- h_k2 <- h_k3 <- double(length(grid))
-
-  # output matrix of predicted days 
-  # names of the predicted days (reference days + 1)
-  pred_Load <- matrix(NA_real_, ncol = 48, nrow = length(grid))
-  preds     <- lapply(1:K, function(k) pred_Load)
-
-  go <- Sys.time()
-  for(q in seq_along(grid)[-c(121, 122, 227, 228)]) { #seq_along(grid)[-c(46:47)]
-    if((q %/% 50) == (q / 50)) cat(paste("  iteration: ", q, "\n"))
-    Q  <- grid[q]
-  
-    select_Load <- select.wkdata(wk_Load, i_00:Q)
-    aux_Load  <- wavkerfun(obj = select_Load, kerneltype = "gaussian",
-                           EPS = .Machine$double.eps) 
-    pred_Load[q, ] <- predict.wavkerfun(obj = aux_Load, cent = "DIFF")$X
-  
-    selects <- lapply(wks, function(k) select.wkdata(k, i_00:Q))
-    auxs    <- lapply(selects, 
-                      function(k) wavkerfun(obj = k, 
-                                          kerneltype = "gaussian",
-                                          EPS = .Machine$double.eps))  
-    for(k in 1:K) 
-      preds[[k]][q, ] <- predict.wavkerfun(obj = auxs[[k]], cent = "DIFF")$X
-
-  }
-  
-  top <- Sys.time()
-  #rm(wks, selects, auxs, aux_Load, mat_ks, q, Q, wk_Load)
-
-  # Compute the prediction of synchrone by the sum of individuals
-  pred_Load_sum <- Reduce('+', preds) 
-
-  ## 4. Analisis of the predictions  ####
-  resids_Load     <- pred_Load     - mat_Load[grid + 1, ] # i.e. reference days + 1
-  resids_Load_sum <- pred_Load_sum - mat_Load[grid + 1, ] # i.e. reference days + 1
-
-  mape_Load <- 100 * rowMeans(abs(resids_Load / mat_Load[grid + 1, ]))
-  rmse_Load <- sqrt(rowMeans(resids_Load^2))
-
-  mape_Load_sum <- 100 * rowMeans(abs(resids_Load_sum / mat_Load[grid + 1, ]))
-  rmse_Load_sum <- sqrt(rowMeans(resids_Load_sum^2))
-
-  performK[cf, 2] <- mean(mape_Load, na.rm = TRUE)
-  performK[cf, 3] <- mean(mape_Load_sum, na.rm = TRUE)
-#print(mean(mape_Load, na.rm = TRUE))
-#print(mean(mape_Load_sum, na.rm = TRUE))
-
-}
-
-
-#performKrc <- read.table("../res/perform200RC.txt")
-#write.table(file = '~/ownCloud/projects/2014_EDF-Orsay-Lyon2/res/perform200-random.txt',
-#            performK)
-#write.table(file = '~/Documents/projects/2014_EDF-Orsay-Lyon2/res/perform200RC.txt',
-#            performK)
-#write.table(file = '~/Documents/projects/2014_EDF-Orsay-Lyon2/res/perform200WER_3.txt',
-#            performK)
-
-#performK <- data.frame(K   = performKrc$K,
-#                       rc  = performKrc$rmse,
-#                       wer = performKwer$rmse)
-
-#perform <- rbind(performK, performKwer)
-#perform <- perform[order(perform$K), ]
-
-plot(perform$K, perform$rmse, type = 'l', ylim = c(1.7,2.2),
-     lwd = 2, col = 2, xlab = "Nb Cluster", ylab = "MAPE (en  %)")
-lines(performK$K, performKrc$rmse, col = 3, lwd = 2)
-abline(h = mean(performK$mape), lwd = 2)
-legend("topright", c('AGG', 'DIS euclid', "DIS WER"), lwd = 2, col = 1:3)
-
-
-## Plot article ENERGYCON
-performKwer <- read.table("../res/perform200WER.txt")
-performKwer <- performKwer[order(performKwer$K), ]
-
-pdf("~/perf_wer.pdf")
-plot(performKwer$K, performKwer$rmse, type = 'l', 
-     ylim = c(1.7,2.2), lwd = 2, col = 2, 
-     xlab = "Nb Cluster", ylab = "MAPE (en  %)")
-abline(h = mean(performKwer$mape), lwd = 2)
-legend("topright", c('AGG', "DIS WER"), lwd = 2, col = 1:2)
-dev.off()

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/00_convertir-donnnes_2011.r b/old_C_code/stage2_UNFINISHED/src/unused/00_convertir-donnnes_2011.r
deleted file mode 100644 (file)
index 53e8cdf..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/00_convertir-donnnes_2011.r
+++ /dev/null
@@ -1,176 +0,0 @@
-## File : 00_convertir-donnnes_2011.r
-## Description : Converts flat EDF's 32K data into a full data matrix 
-##               layout [individuals, variables]. Rownames are EDF's ids.
-##               We process the original flat file sequentially by lines
-##               to avoid exceding the available RAM memory (and so avoiding
-##               swaping which is a computational burden).
-
-
-rm(list = ls())
-
-setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2011", dates0)]
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-blocks <- c(rep(1000, 8), 685)  # We'll process 1000 x p lines at each
-                                # iteration of the reading loop
-
-## 2. Process the large flat file ####
-## We want to check that every time step recorded for each id.
-
-con <- file("~/tmp/data/2011.csv")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-rien <- readLines(con = con, n = 1); rm(rien) # Discard 1st line
-
-for(b in seq_along(blocks)){      # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb * length(dates))
-  auxmat <- matrix(unlist(strsplit(actual, ",")), ncol = 3, byrow = TRUE)
-  rm(actual)
-  auxdf  <- data.frame(id   = as.integer(auxmat[, 3]),
-                       date = auxmat[, 1],
-                       val  = as.numeric(auxmat[, 2]))
-  rm(auxmat) # free up some space
-  
-  tab <- table(auxdf$id)
-  idtt <- NULL
-  for(tt in as.integer(names(which(tab < p)))) {  # id with less than p records!
-    print(tt)
-    idtt <- c(idtt, which(auxdf$id == tt))
-  }
-  
-  if(is.null(idtt)) { # no incomplete records
-    idmat         <- matrix(auxdf$id, ncol = p, byrow = TRUE)
-    alldatesperid <- apply(idmat, 1, sd) == 0
-    valmat        <- matrix(auxdf$val, ncol = p, byrow = TRUE)
-  } else {
-    idmat         <- matrix(auxdf$id[-idtt], ncol = p, byrow = TRUE)
-    alldatesperid <- apply(idmat[-idtt, ], 1, sd) == 0
-    valmat        <- matrix(auxdf$val[-idtt], ncol = p, byrow = TRUE)
-    
-    # store separatelly partial records
-    write.table(file = paste0("~/tmp/2011_partial_", b, ".txt"), auxdf[idtt, ])
-  }
-  
-  # store full records
-  write.table(file = paste0("~/tmp/2011_full_", b, ".txt"), valmat,
-              row.names = idmat[, 1], col.names = FALSE) 
-}
-
-close(con)                      # close connection to the file
-
-rm(auxdf, idmat, valmat, alldatesperid, b,  # clean up some memory
-   idtt, blocks, tab, tt, con)
-
-
-## 3. Complete partial records ####
-
-# Missing data in 2011 is quite messy. The number of missing records
-# vary from one client to another (see tab)
-
-df_partial <- NULL
-for(f in list.files("~/tmp/", "2011_partial_*")) 
-  df_partial <- rbind(df_partial, read.table(paste0('~/tmp/', f)))
-
-tab <- table(df_partial$id)
-id_incomp <- as.integer(names(which(tab < p))) # Incomplete records
-
-# The equivalent of 2009's df_partial_full is not easy to construct
-
-#df_partial_full <- rbind(df_partial, 
-#                         data.frame(id   = id_incomp,
-#                                    date = "01JAN2009:00:00:00",  
-#                                    val  = NA))
-
-rm(df_partial)
-
-# tab2 <- table(df_partial_full$id)  # Check that df_partial_full is full
-# head(sort(tab2))
-
-
-## 4. Reorder the lines to get the data matrix ####
-## As we paste chunks of partial records and impute some time steps,
-## the original order of the data is broken. We fix it by reordering
-## the ids and then the data.
-
-idx_ordered <- order(df_partial_full$id)             # order ids
-df_partial_full2 <- df_partial_full[idx_ordered, ] 
-rm(df_partial_full)
-
-# Order data values following the correct dates (as the date is a factor
-# we need to seek for each value: this is computationnaly innefficient).
-
-valmat  <- matrix(df_partial_full2$val,  ncol = p, byrow = TRUE)
-datemat <- matrix(df_partial_full2$date, ncol = p, byrow = TRUE)
-idmat   <- matrix(df_partial_full2$id,   ncol = p, byrow = TRUE)
-
-# Use this for as a check by running it twice. On the second run no
-# printing should be done (because records should be ordered).
-for(line in 1:nrow(datemat)) {
-  if(any(datemat[line, ] != dates)) { # TRUE is line is not ordered
-    cat(sprintf("\nline %i is not ordered", line))
-    
-    neworder         <- match(dates, datemat[line, ])
-    valmat[line , ]  <- valmat[ line, neworder]
-    datemat[line , ] <- datemat[line, neworder]
-  } 
-}
-
-
-## 5. Write on disk the full data matrix of partial records ####
-
-write.table(file = "~/tmp/2009_full_Z.txt", valmat, 
-            row.names = idmat[, 1], col.names = FALSE) 
-rm(list = ls())
-gc()
-
-
-## A. data.table & reshape2 #### 
-## When large RAM memory is available, one could use this code to process
-## everything in memory.
-
-#library(data.table)
-#library(reshape2)
-
-#dt <- fread(input  = "~/tmp/data/2009_chunk.csv")
-
-#dt[, charge := ifelse(is.na(CPP_PUISSANCE_CORRIGEE), 
-#                      CPP_PUISSANCE_BRUTE,
-#                      CPP_PUISSANCE_CORRIGEE), ]
-#dt[, CPP_PUISSANCE_CORRIGEE := NULL]
-#dt[, CPP_PUISSANCE_BRUTE := NULL]
-
-#dt2 <- dcast.data.table(data = dt, CPP_DATE_PUISSANCE + FK_CCU_ID ~ charge)
-
-
-## Z. Probably stuff to be deleted 
-
-# searchpos <- function(row) {
-#   str  <- strsplit(row, ",")
-#   
-#   auxmat <- matrix(unlist(str), ncol = 4, byrow = TRUE); rm(str)
-#   
-#   auxdf  <- data.frame(id   = as.integer(auxmat[, 1]),
-#                        date = auxmat[, 2],
-#                        val  = as.numeric(
-#                          ifelse(auxmat[,3] == "", auxmat[, 4], auxmat[, 3]))
-#   )
-#   rm(auxmat)
-#   
-#   idmat <- matrix(auxdf$id, ncol = length(dates), byrow = TRUE)
-#   alldatesperid <- apply(idmat, 1, sd) == 0
-#   
-#   
-#   #  lines <- match(auxdf$id, identifiants)
-#   #  cols  <- match(auxdf$date, dates)
-#   
-#   return(cbind(lines, cols, auxdf$val))
-# }

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/00_createCalendar.r b/old_C_code/stage2_UNFINISHED/src/unused/00_createCalendar.r
deleted file mode 100644 (file)
index caf48ce..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/00_createCalendar.r
+++ /dev/null
@@ -1,58 +0,0 @@
-## File: createCalendar.r
-## Description: Create the calendar transitions to be used on KWF predictor
-## Author: jc @ September 2015
-
-## Function: irishCalendar
-## Description: Create the calendar with day of the week and daytype.
-##              (It is the first step, then we need to obtain the transitions)
-irishCalendar <- function(from, to){
-   require(timeDate)
-   y0 <- as.character(substr(from, 1, 4))
-   y1 <- as.character(substr(to,   1, 4))
-   years <- y0:y1
-   IRholidays <- c("NewYearsDay", 
-                     #saint patrick
-                   "EasterMonday",
-                   "GBMayDay",            # may day
-                   #june holiday
-                   "GBSummerBankHoliday", # august holiday  
-                   #october holiday
-                   "ChristmasDay"
-                   #,                    st stephen day
-                   )
-                   
-   
-   jf    <- holiday(year = years, Holiday = IRholidays)
-   jf    <- sort(unique(jf))
-   dts   <- timeSequence(from = paste(y0, '01', '01', sep = '-'),
-                         to   = paste(y1, '12', '31', sep = '-')) 
-   wday  <- dayOfWeek(dts)
-   wdayf <- unname(wday)   
-   for(d in 1:length(wdayf)){
-     if(d == 1) fpos <- 1
-     if(dts[d] == jf[fpos]){
-         wdayf[d] <- "Hol"
-         if(fpos < length(jf)) fpos <- fpos + 1
-     } 
-   }
-
-   res <- data.frame(dow = wday, daytype = wdayf)
-   i0  <- which(rownames(res) == from)
-   i1  <- which(rownames(res) == to)
-   
-   return(res[i0:i1, ])
-}
-
-
-# Call irishCalendar to create the calendar.
-myCal <- irishCalendar(from="2011-01-01", to= "2013-12-31")
-n     <- nrow(myCal)
-
-# Obtention of the transitions
-gr    <- paste(myCal$daytype[1:(n - 1)], myCal$daytype[2:n], sep = '_')
-gr[gr == "Hol_Hol"] <- "Sun_Hol"
-myCal$gr <- c(gr, "Sat_Sun")
-
-# Write output to a file
-# write.table(file = "calendar_ir.txt", myCal)
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/00_plots-energycon.r b/old_C_code/stage2_UNFINISHED/src/unused/00_plots-energycon.r
deleted file mode 100644 (file)
index 9f70085..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/00_plots-energycon.r
+++ /dev/null
@@ -1,190 +0,0 @@
-## File : 00_plots-energycon.r
-## Description : Using the full data matrix, we extract handy features to
-##               cluster.
-
-rm(list = ls())
-
-library(Rwave)       # CWT
-#library(cluster)     # pam
-#library(flexclust)   # kcca
-source("aux.r")               # auxiliary clustering functions 
-source("sowas-superseded.r")  # auxiliary CWT functions
-source('http://eric.univ-lyon2.fr/~jcugliari/codes/functional-clustering.r')
-setwd("~/recherche/03_projects/2014_EDF-Orsay-Lyon2/codes/")
-
-
-## 1. Read auxiliar data files ####
-
-#identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2009", dates0)]
-#rm(dates0)
-
-#n <- length(identifiants)
-p <- length(dates)
-
-#blocks <- c(rep(6500, 3), 5511)  
-
-# table( substr(dates, 11, 15) ) # Sunlight time saving produces an 
-# unbalanced number of time points
-# per time stepa across the year
-
-
-## 2. Process the large file ####
-
-# if(exists("con")) close(con)
-# con <- file("~/tmp/2009_full.txt")  # Establish a connection to the file
-# open(con, "r")                      # Open the connection
-# 
-# nb <- 4
-# actual <- readLines(con = con, n = nb )[-3]
-# auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
-# rm(actual)
-#   
-# datamat <- t(apply(auxmat[, -1], 1, as.numeric))
-# rownames(datamat) <- substr(auxmat[, 1], 2, 7)
-# rm(auxmat)
-# 
-# datamat <- datamat[, 1:(48 * 14)]
-# p <- ncol(datamat)
-# 
-# auxDWT <- t(apply(datamat, 1, toDWT))
-# matcontrib <- t(apply(auxDWT,  1, contrib))
-# rm(auxDWT)
-# 
-# close(con); rm(con)                    # close connection to the file
-
-
-load("~/data/Irlande/Data_CER_clean/SME.RData")
-
-smp <- c(4, 79, 126)
-
-datamat <- t(SME[1:(48 * 7), smp])
-p <- ncol(datamat)
-
-auxDWT <- t(apply(datamat, 1, toDWT))
-matcontrib <- t(apply(auxDWT,  1, contrib))
-rm(auxDWT)
-
-matplot(t(datamat), type = "l", lty = 1, 
-        col = 1:8, lwd = 2)
-
-pdf("~/courbes.pdf")
-#par(mai = c(1, 1, 0.8, 0.6), mfcol = c(4, 2), cex  = 2)
-for(courbe in 1:ncol(SME)) {
-  plot(SME[1:(48 * 7), courbe], main = paste(courbe),
-       xlab = "", ylab = "", type = "l")
-}
-dev.off()
-
-
-
-
-## Plots for ENERGYCON full article ####
-op <- par()
-
-col <- c("grey", "black", "black")
-## Curves
-pdf('~/curves.pdf', width = 12)
-par(mai = c(1.3, 1.3, 0.1, 0.1), cex  = 1.2)
-matplot(t(datamat), type = "l", lty = c(1, 1, 2), 
-        lwd = 2, col = col, # c(1, 2, 4),
-        ylab = "Load", xlab = "Time (1/2 hours)")
-legend("top", c("Cust. A", "Cust. B", "Cust. C"),
-       col = col, lty = c(1, 1, 2), ncol = 3, lwd = 2)
-# matplot(scale(t(datamat), scale = F), 
-#         type = "l", lty = 1, col = c(1, 2, 4), lwd = 2, 
-#         ylab = "Load", xlab = "Time (1/2 hours)")
-dev.off()
-
-normi <- function(x) x / max(x)
-normi2 <- function(x) (x - min(x)) / (max(x) - min(x))
-
-matplot(apply(datamat, 1, normi2),
-        type = "l", lty = 1, col = c(1, 2, 4), lwd = 2, 
-        ylab = "Load", xlab = "Time (1/2 hours)")
-
-
-cont_dist <- dist(scale(matcontrib)) 
-cont_dist <- cont_dist / max(cont_dist)
-
-
-delta <- p
-n     <- nrow(datamat)
-
-## _.a CWT -- Filtering the lowest freqs (>6m) ####
-nvoice   <- 4
-# noctave4 = 2^13 = 8192 half hours ~ 180 days
-noctave4 <- adjust.noctave(N = delta, dt = 1, s0 = 2,
-                           tw = 0, noctave = 10)
-# 10 here represent 2^10 = 1024 half-hours ~ 2 weeks day
-scalevector4  <- 2^(4:(noctave4 * nvoice) / nvoice) * 2
-lscvect4      <- length(scalevector4)
-lscvect <- lscvect4  # i should clean my code: werFam demands a lscvect
-Xcwt4   <- toCWT(datamat, noctave = noctave4, dt = 1,
-                 scalevector = scalevector4,
-                 lt = delta, smooth = FALSE, 
-                 nvoice = nvoice)      # observations node with CWT
-
-Xcwt2 <- matrix(NA_complex_, nrow= n, ncol= 2 + length(c(Xcwt4[, ,1])))
-
-
-for(i in 1:n) 
-  Xcwt2[i,] <- c(delta, lscvect, Xcwt4[,,i] / max(Mod(Xcwt4[,,i])) ) 
-
-rm(conso, Xcwt4); gc()
-
-lscvect <- 41 ## very very nasty: toCWT changes scalevector to 41 (instead of
-              ## the original length--37--)
-## _.b WER^2 distances  ########
-Xwer_dist    <- matrix(0.0, n, n)
-for(i in 1:(n - 1)){
- mat1   <- vect2mat(Xcwt2[i,])
- for(j in (i + 1):n){
-    mat2 <- vect2mat(Xcwt2[j,])
-    num     <- Mod(mat1 * Conj(mat2))
-    WX      <- Mod(mat1 * Conj(mat1))
-    WY      <- Mod(mat2 * Conj(mat2))
-    smsmnum <- smCWT(num, scalevector = scalevector4)
-    smsmWX  <- smCWT(WX,  scalevector = scalevector4)
-    smsmWY  <- smCWT(WY,  scalevector = scalevector4)
-    wer2    <- sum(colSums(smsmnum)^2)  /
-      sum( sum(colSums(smsmWX) * colSums(smsmWY)) )
-    Xwer_dist[i, j] <- sqrt(delta * lscvect * (1 - wer2))
-    Xwer_dist[j, i] <- Xwer_dist[i, j]
-  }
-}
-diag(Xwer_dist) <- numeric(n)
-
-
-Xwer_dist <- Xwer_dist / max(Xwer_dist)
-
-
-pdf("~/cmdscale.pdf", width = 14)
-#layout(matrix(1:2, 1, 2))
-par(mai = c(1, 1, 0.8, 0.6), mfcol = c(1, 2), cex  = 2)
-plot(cmdscale(cont_dist), pch = c("A", "B", "C"),#c(15, 17, 19), 
-     main = "RC based distance",
-     #col = c(1, 2, 4), 
-     xlim = c(-1, 1), ylim = c(-1, 1), 
-     xlab = "", ylab = "", asp = 1)
-abline(h= 0, lwd = 2); abline(v = 0, lwd = 2); grid(lty = 1)
-
-plot(cmdscale(Xwer_dist), pch = c("A", "B", "C"),#c(15, 17, 19),
-     main = "WER distance",
-     #col = c(1, 2, 4), 
-     xlim = c(-1, 1), ylim = c(-1, 1), 
-     xlab = "", ylab = "", asp = 1)
-abline(h= 0, lwd = 2); abline(v = 0, lwd = 2); grid(lty = 1)
-dev.off()
-
-
-
-## Effectives distribution
-#load('../res/clfit500.Rdata')
-pdf("~/distro500.pdf", width = 12)
-plot(sort(table(clfit$clustering), decreasing = TRUE), 
-     type ="s", ylab = "Effectives", xlab = "Class", lwd = 2)
-abline(v = 200)
-#dev.off()
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/01_StBr.r b/old_C_code/stage2_UNFINISHED/src/unused/01_StBr.r
deleted file mode 100644 (file)
index 980a855..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/01_StBr.r
+++ /dev/null
@@ -1,57 +0,0 @@
-## File: StBr.r
-## Description: screens meaningful variables and performns
-##              data transformation on clustering 
-
-# rm(list = ls())
-
-
-## Description: Steinley & Brusco (2006) data transform to cluster 
-StBrtransform <- function(X){
-  apply(X, 2, function(x) 12 * var(x) / (max(x) - min(x))^2 )  
-}
-
-
-## Description: Clustering index (Steinley & Brusco (2006))
-CI <- function(X, B = 1000) { # B : number of boostrap replications
-
-  n <- nrow(X)
-  p <- ncol(X)
-  
-  #ci <- apply(X, 2, function(x) 12 * var(x) / (max(x) - min(x))^2 )
-  ci <- StBrtransform(X)
-  
-  rc    <- ci / min(ci)
-  minV  <- which.min(rc)
-  
-  Xstar    <- scale(X)
-  newRange <- apply(Xstar, 2, function(x) max(x) - min(x))
-  
-  rmin <- newRange[minV]
-
-  datat <- array(0.0, dim = dim(X))
-  
-  # Reweighting X into datat
-  for(i in 1:p){
-    v          <- Xstar[, i]
-    temp       <- rc[i] * (rmin / newRange[i])^2    
-    datat[, i] <- sqrt(temp) * v
-  }
-  
-  xboot  <- matrix(rnorm(n * B), nrow = n)
-  #cinorm <- apply(xboot, 2, function(x) 12 * var(x) / (max(x) - min(x))^2 )
-  cinorm <- StBrtransform(xboot)
-  ci95   <- median(cinorm)
-  
-  #ciStar <- apply(datat, 2, function(x) 12 * var(x) / (max(x) - min(x))^2 )
-  ciStar  <- StBrtransform(datat)
-  selectv <- which(ciStar > ci95)
-  
-  return(list(selectv = selectv, 
-              tdata  = datat) )  
-}
-
-
-
-
-#test <- matrix(rnorm(200), 40, 5)
-#CI(test)$selectv

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/01_extract-features2_2009.r b/old_C_code/stage2_UNFINISHED/src/unused/01_extract-features2_2009.r
deleted file mode 100644 (file)
index 85a2b5b..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/01_extract-features2_2009.r
+++ /dev/null
@@ -1,67 +0,0 @@
-## File : 01_extract-features_2009.r
-## Description : Using the full data matrix, we extract handy features to
-##               cluster.
-
-rm(list = ls())
-
-#source('http://eric.univ-lyon2.fr/~jcugliari/codes/functional-clustering.r')
-setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-source('aux2.r')
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2009", dates0)]
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-blocks <- c(rep(6500, 3), 5511)  
-
-# table( substr(dates, 11, 15) ) # Sunlight time saving produces an 
-                                 # unbalanced number of time points
-                                 # per time stepa across the year
-
-
-## 2. Process the large file ####
-
-close(con)
-con <- file("~/tmp/2009_full.txt")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-
-for(b in seq_along(blocks)){        # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb )
-  auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
-  rm(actual)
-
-  datamat <- t(apply(auxmat[, -1], 1, as.numeric))
-  rownames(datamat) <- substr(auxmat[, 1], 2, 7)
-  rm(auxmat)
-
-  nas <- which(is.na(datamat)[, 1]) # some 1/1/2009 are missing
-  if(length(nas)>0) datamat[nas, 1] <- rowMeans(datamat[nas, 2:4])
-  
-  imput   <- datamat[, 4180:4181] %*% matrix(c(2/3, 1/3, 1/3, 2/3), 2)
-  datamat <- cbind(datamat[, 1:4180], imput, datamat[, 4181:17518])
-  
-  dayimp   <- t(apply(datamat, 1, dayimpact))
-  nightimp <- t(apply(datamat, 1, nightimpact))
-  lunchimp <- t(apply(datamat, 1, lunchimpact))
-  
-  auxfeat  <- cbind(dayimp, nightimp, lunchimp)
-  
-  if(b == 1) {
-    matfeat <- auxfeat 
-  } else {
-    matfeat <- rbind(matfeat, auxfeat)
-  }
-  
-}
-
-close(con)                      # close connection to the file
-
-write.table(matfeat, file = "~/tmp/2009_impacts.txt")
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/02_cluster-par_2009.r b/old_C_code/stage2_UNFINISHED/src/unused/02_cluster-par_2009.r
deleted file mode 100644 (file)
index 0f138c9..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/02_cluster-par_2009.r
+++ /dev/null
@@ -1,106 +0,0 @@
-## File: extract-features.r
-
-rm(list = ls())
-
-## a. Load data & libraries ####
-
-#library(cluster)
-#library(snow)
-library(foreach)
-library(doParallel)
-
-MOJARRITA <- Sys.info()[4] ==  "mojarrita"
-
-if(MOJARRITA){ 
-  setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-} else {
-  setwd("~/2014_EDF-Orsay-Lyon2/codes/")
-}
-
-#source('http://eric.univ-lyon2.fr/~jcugliari/codes/functional-clustering.r')
-source('01_StBr.r')
-
-matcontrib0 <- read.table(file = "~/tmp/2009_contrib.txt")
-n     <- nrow(matcontrib0)
-
-sdcontrib <- apply(matcontrib0, 1, sd)
-lims      <- quantile(sdcontrib, probs = c(.005, .995)) # obtain 1%-extreme data
-is_normal <- which((sdcontrib > lims[1]) & (sdcontrib < lims[2]))
-
-matcontri_ext <- matcontrib0[-is_normal, ]
-matcontrib    <- matcontrib0[is_normal, ]     # wipe out aberrant data
-
-matcontrib <- t(apply(matcontrib, 1, function(x) x / sum(x)))
-matcontrib <- t(apply(matcontrib, 1, function(p) log(p / (1 - p)) ))
-
-
-## b. Transform data & compute CI ####
-ci     <- CI(matcontrib)
-tdata  <- ci$tdata; rownames(tdata) <- rownames(matcontrib)
-selvar <- ci$selectv
-  
-## c. Clustering  ##########
-
-#number of iterations
-iters <- 20
-
-#setup parallel backend to use 8 processors
-cl <- makeCluster(20)
-registerDoParallel(cl)
-
-clfitlist <- foreach(icount(iters)) %dopar% {
-  library(cluster)
-  K <- 200
-  clara(x        = tdata[, selvar], 
-        k        = K, 
-        sampsize = 4000, 
-        samples  = 4, 
-        rngR     = TRUE)
-}
-
-stopCluster(cl)
-
-#save(clfit, file = 'clfit500.Rdata')
-# save(clfit, file = 'clfit200RC.Rdata')
-#save(clfitlist, file = 'clfitlist200.Rdata')
-#rm(ci, matcontrib0, is_normal, lims, selvar)
-#gc()
-
-
-res <- lapply(clfitlist, function(x) x$clustering)
-names(res) <- 1:iters
-
-save(data.frame(res), file = 'res/clfitdf200.Rdata')
-
-
-## d. Analyze results  ##########
-
-#1. Répartition du nombre d'observation par cluster
-#plot(sort(table(clfit$clustering), decreasing = TRUE), 
-#     type = 'l', ylab = 'Fréquence', xlab = 'Classe')
-
-
-#clust <- res$clustering
-#  centres <- aggregate(conso, clust)
-#  table(clust)
-  
-  #sel_veille    <- as.Date(rownames(conso)[sel - 1])
-  #sel_lendemain <- as.Date(rownames(conso)[sel + 1])
-  
-  #res_clust <- data.frame(date     = rownames(conso),
-                          #veille    = weekdays(sel_veille),
-                          #lendemain = weekdays(sel_lendemain),
-  #                        clust     = clust)
-  
-  #for(k in 1:K) {
-  #  assign(paste0("dates_clust", K),
-  #         substr(subset(res_clust, clust == k)$date, 1, 7) )
-  #}
-  
-  #dev.off()
-  
-  #save(file = paste0(dtitle, "_clust.Rdata"), 
-       #res_clust, selvar, K, gap)
-#}
-
-#dates_clust1 <- substr(subset(dates, clust == 1)$date, 1, 7)

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classes-par_2009.r b/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classes-par_2009.r
deleted file mode 100644 (file)
index 8e5e756..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classes-par_2009.r
+++ /dev/null
@@ -1,76 +0,0 @@
-## File : 03_compute-sum-of-classes_2009.r
-## Description : Calculer les synchrones pour chaque groupe obtenu par le
-##               clustering. 
-
-rm(list = ls())
-
-MOJARRITA <- Sys.info()[4] ==  "mojarrita"
-
-if(MOJARRITA){ 
-  setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-} else {
-  setwd("~/2014_EDF-Orsay-Lyon2/codes/")
-}
-
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2009", dates0)]
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-if(MOJARRITA) { 
-  blocks <- c(rep(6500, 3), 5511) 
-  } else {
-  blocks <- 25011  
-  } 
-
-# Fit of the clustering : clfit 
-load('../res/clfitdf200.Rdata') # Loads res that containts  
-                                  # clusterings memberships
-res <- as.data.frame(res)
-
-lres <- length(res)
-K       <- 200 #nrow(clfit$clusinfo)
-
-
-## 2. Process the large file ####
-
-close(con)
-con <- file("~/tmp/2009_full.txt")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-
-for(b in seq_along(blocks)){        # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb )
-  auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
-  rm(actual)
-
-  datamat <- t(apply(auxmat[, -1], 1, as.numeric)) # the NA introduced by as.numeric
-                                                   # are NA strings
-  rownames(datamat) <- substr(auxmat[, 1], 2, 7)
-  rm(auxmat)
-
-  synchros <- lapply(res, 
-                     function(ll) { 
-                        aux <- matrix(0, ncol = p, nrow = K)
-                        for(k in 1:K) {
-                          clustk <- which(ll == k)
-                          if(length(clustk) > 1) {
-                            aux[k, ] <- colSums(datamat[ll ==  k, ])
-                          } else {
-                            aux[k, ] <- datamat[ll ==  k, ]
-                          }
-                        }
-                        aux
-                      })
-}
-
-close(con)                # close connection to the file
-
-# save(synchros, file = "~/tmp/2009synchrosdf200WER")
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classesRANDOM-par_2009.r b/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classesRANDOM-par_2009.r
deleted file mode 100644 (file)
index cbd373b..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classesRANDOM-par_2009.r
+++ /dev/null
@@ -1,89 +0,0 @@
-## File : 03_compute-sum-of-classes_2009.r
-## Description : Calculer les synchrones pour chaque groupe obtenu par le
-##               clustering. 
-
-rm(list = ls())
-
-MOJARRITA <- Sys.info()[4] ==  "mojarrita"
-
-if(MOJARRITA){ 
-  setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-} else {
-  setwd("~/2014_EDF-Orsay-Lyon2/codes/")
-}
-
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2009", dates0)]
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-if(MOJARRITA) { 
-  blocks <- c(rep(6500, 3), 5511) 
-  } else {
-  blocks <- 25011  
-  } 
-
-# Fit of the clustering : clfit 
-load('../res/clfitdf200.Rdata') # Loads res that containts  
-                                  # clusterings memberships
-res <- as.data.frame(res)
-
-resRDN <- as.data.frame(lapply(res, sample))
-#save(file = "../res/clfitdf200RDN.Rdata", resRDN)
-load("../res/clfitdf200RDN.Rdata")
-
-lres <- length(res)
-K       <- 200 #nrow(clfit$clusinfo)
-rm(res)
-
-## 2. Process the large file ####
-
-close(con)
-con <- file("~/tmp/2009_full.txt")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-
-for(b in seq_along(blocks)){        # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb )
-  actual_split <- strsplit(actual, " ")
-  rm(actual)
-  
-  #auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
-  #datamat <- t(apply(auxmat[, -1], 1, as.numeric)) # the NA introduced by 
-                                                    # as.numeric
-  auxlist <- lapply(actual_split, function(x) as.numeric(x[-1]))
-  datamat <- matrix(unlist(auxlist), ncol = p, byrow = TRUE)
-  rm(auxlist)
-
-                                                   # are NA strings
-  #rownames(datamat) <- substr(auxmat[, 1], 2, 7)
-  auxnames          <- unlist(lapply(strsplit(actual, " "), "[", 1))
-  rownames(datamat) <- substr(auxnames, 2, 7)
-
-  rm(auxmat, actual_split)
-
-  synchros <- lapply(resRDN, 
-                     function(ll) { 
-                        aux <- matrix(0, ncol = p, nrow = K)
-                        for(k in 1:K) {
-                          clustk <- which(ll == k)
-                          if(length(clustk) > 1) {
-                            aux[k, ] <- colSums(datamat[clustk, ])
-                          } else {
-                            aux[k, ] <- datamat[clustk, ]
-                          }
-                        }
-                        aux
-                      })
-}
-
-close(con)                # close connection to the file
-
-# save(synchros, file = "~/tmp/2009synchrosdf200RND")
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classesRANDOM_2009.r b/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classesRANDOM_2009.r
deleted file mode 100644 (file)
index 016b6de..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classesRANDOM_2009.r
+++ /dev/null
@@ -1,82 +0,0 @@
-## File : 03_compute-sum-of-classes_2009.r
-## Description : Calculer les synchrones pour chaque groupe obtenu par le
-##               clustering. 
-
-rm(list = ls())
-
-setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2009", dates0)]
-rm(dates0)
-
-n <- length(identifiants)-
-p <- length(dates)
-
-blocks <- c(rep(6500, 3), 5511)  
-
-# Fit of the clustering : clfit 
-#load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit500.Rdata')
-load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit200.Rdata')
-#load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit200RC.Rdata')
-#  table(clfit$clustering)
-
-dfclust <- data.frame(cluster = clfit$clustering) # real clustering 
-K       <- nrow(clfit$clusinfo)
-
-#dfclust2 <- dfclust
-dfclust$cluster <- sample(unlist(Map(rep, 1:200, table(dfclust)))) # random clust
-
-
-
-#dfclust <- head(dfclust, 50)           # just for testing purpouses
-synchros <- matrix(0, ncol = p, nrow = K)
-rm(clfit)
-                   
-## 2. Process the large file ####
-
-close(con)
-con <- file("~/tmp/2009_full.txt")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-
-for(b in seq_along(blocks)){        # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb )
-  auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
-  rm(actual)
-
-  datamat <- t(apply(auxmat[, -1], 1, as.numeric))
-  rownames(datamat) <- substr(auxmat[, 1], 2, 7)
-  rm(auxmat)
-
-  # obtain for each line of datamat the cluster membership (if any)
-  clustfactor <- dfclust$cluster[match(rownames(datamat), rownames(dfclust))] 
-  
-#  if(length(which(rownames(datamat) == "218095"))>0) print(b);
-  
-  for(k in 1:K){ 
-    clustk <- which(clustfactor == k)
-    if(length(clustk) > 0) {
-    
-    if(length(clustk) > 1) {
-      synchrosk <- colSums(datamat[which(clustfactor == k), ])
-    } else {
-      synchrosk <- datamat[which(clustfactor == k), ]
-    }
-    synchros[k, ] <- synchros[k, ] + synchrosk
-    rm(synchrosk)
-    }
-  }
-}
-
-close(con)                # close connection to the file
-
-synchros <- data.frame(t(synchros), total = colSums(synchros))
-
-write.table(synchros, file = "~/tmp/2009_synchros200RANDOM.txt")
-write.table(dfclust,  file = "../res/dfclust200RANDOM.txt")
-#write.table(synchros, file = "~/tmp/2009_synchros200RC.txt")
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classesRANDOM_2010.r b/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classesRANDOM_2010.r
deleted file mode 100644 (file)
index 0c75bd0..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classesRANDOM_2010.r
+++ /dev/null
@@ -1,82 +0,0 @@
-## File : 03_compute-sum-of-classes_2010.r
-## Description : Calculer les synchrones pour chaque groupe obtenu par le
-##               clustering. 
-
-rm(list = ls())
-
-setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2009", dates0)]
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-blocks <- c(rep(6500, 3), 5511)  
-
-# Fit of the clustering : clfit 
-#load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit500.Rdata')
-load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit200.Rdata')
-#load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit200RC.Rdata')
-#  table(clfit$clustering)
-
-dfclust <- data.frame(cluster = clfit$clustering) # real clustering 
-K       <- nrow(clfit$clusinfo)
-
-#dfclust2 <- dfclust
-dfclust$cluster <- sample(unlist(Map(rep, 1:200, table(dfclust)))) # random clust
-
-
-
-#dfclust <- head(dfclust, 50)           # just for testing purpouses
-synchros <- matrix(0, ncol = p, nrow = K)
-rm(clfit)
-                   
-## 2. Process the large file ####
-
-close(con)
-con <- file("~/tmp/2010_full.txt")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-
-for(b in seq_along(blocks)){        # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb )
-  auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
-  rm(actual)
-
-  datamat <- t(apply(auxmat[, -1], 1, as.numeric))
-  rownames(datamat) <- substr(auxmat[, 1], 2, 7)
-  rm(auxmat)
-
-  # obtain for each line of datamat the cluster membership (if any)
-  clustfactor <- dfclust$cluster[match(rownames(datamat), rownames(dfclust))] 
-  
-#  if(length(which(rownames(datamat) == "218095"))>0) print(b);
-  
-  for(k in 1:K){ 
-    clustk <- which(clustfactor == k)
-    if(length(clustk) > 0) {
-    
-    if(length(clustk) > 1) {
-      synchrosk <- colSums(datamat[which(clustfactor == k), ])
-    } else {
-      synchrosk <- datamat[which(clustfactor == k), ]
-    }
-    synchros[k, ] <- synchros[k, ] + synchrosk
-    rm(synchrosk)
-    }
-  }
-}
-
-close(con)                # close connection to the file
-
-synchros <- data.frame(t(synchros), total = colSums(synchros))
-
-write.table(synchros, file = "~/tmp/2009_synchros200RANDOM.txt")
-write.table(dfclust,  file = "../res/dfclust200RANDOM.txt")
-#write.table(synchros, file = "~/tmp/2009_synchros200RC.txt")
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classes_2010-par.r b/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classes_2010-par.r
deleted file mode 100644 (file)
index 1a4c9a1..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classes_2010-par.r
+++ /dev/null
@@ -1,79 +0,0 @@
-## File : 03_compute-sum-of-classes_2010-par.r
-## Description : Calculer les synchrones pour chaque groupe obtenu par le
-##               clustering. 
-
-rm(list = ls())
-
-MOJARRITA <- Sys.info()[4] ==  "mojarrita"
-
-if(MOJARRITA){ 
-  setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-} else {
-  setwd("~/2014_EDF-Orsay-Lyon2/codes/")
-}
-
-
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2010", dates0)]
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-
-if(MOJARRITA) { 
-  blocks <- c(rep(6500, 3), 5511) 
-} else {
-  blocks <- 25011  
-} 
-
-# Fit of the clustering : clfit 
-load('../res/clfitdf200.Rdata') # Loads res that containts  
-# clusterings memberships
-res <- as.data.frame(res)
-
-
-lres <- length(res)
-K       <- 200 #nrow(clfit$clusinfo)
-
-## 2. Process the large file ####
-
-close(con)
-con <- file("~/tmp/2010_full.txt")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-
-for(b in seq_along(blocks)){        # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb )
-  auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
-  rm(actual)
-  
-  datamat <- t(apply(auxmat[, -1], 1, as.numeric)) # the NA introduced by as.numeric
-  # are NA strings
-  rownames(datamat) <- substr(auxmat[, 1], 2, 7)
-  rm(auxmat)
-    
-  synchros <- lapply(res, 
-                     function(ll) { 
-                       aux <- matrix(0, ncol = p, nrow = K)
-                       for(k in 1:K) {
-                         clustk <- which(ll == k)
-                         if(length(clustk) > 1) {
-                           aux[k, ] <- colSums(datamat[ll ==  k, ])
-                         } else {
-                           aux[k, ] <- datamat[ll ==  k, ]
-                         }
-                       }
-                       aux
-                     })
-}
-  
-  close(con)                # close connection to the file
-  
-# save(synchros, file = "~/tmp/2010synchrosdf200WER")
-
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classes_2010.r b/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classes_2010.r
deleted file mode 100644 (file)
index 18d23b4..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classes_2010.r
+++ /dev/null
@@ -1,101 +0,0 @@
-## File : 03_compute-sum-of-classes_2010.r
-## Description : Calculer les synchrones pour chaque groupe obtenu par le
-##               clustering. 
-
-rm(list = ls())
-
-setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- dates0[grep("2010", dates0)]
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-blocks <- c(rep(6500, 3), 5511)  
-
-# Fit of the clustering : clfit 
-#load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit500.Rdata')
-load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit200.Rdata')
-load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit200RC.Rdata')
-#  table(clfit$clustering)
-
-dfclust <- data.frame(cluster = clfit$clustering)
-# read write.table(dfclust, file = "../res/clfit200RC-random.txt") for random
-
-K       <- nrow(clfit$clusinfo)
-#dfclust <- head(dfclust, 50)           # just for testing purpouses
-synchros <- matrix(0, ncol = p, nrow = K)
-rm(clfit)
-                   
-## 2. Process the large file ####
-
-close(con)
-con <- file("~/tmp/2010_full.txt")  # Establish a connection to the file
-open(con, "r")                      # Open the connection
-
-for(b in seq_along(blocks)){        # Reading loop
-  nb <- blocks[b]
-  actual <- readLines(con = con, n = nb )
-  auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
-  rm(actual)
-
-  datamat <- t(apply(auxmat[, -1], 1, as.numeric))
-  rownames(datamat) <- substr(auxmat[, 1], 2, 7)
-  rm(auxmat)
-
-  # obtain for each line of datamat the cluster membership (if any)
-  clustfactor <- dfclust$cluster[match(rownames(datamat), rownames(dfclust))] 
-  
-  for(k in 1:K){ 
-    clustk <- which(clustfactor == k)
-    if(length(clustk) > 0) {
-      
-      if(length(clustk) > 1) {
-        synchrosk <- colSums(datamat[which(clustfactor == k), ])
-      } else {
-        synchrosk <- datamat[which(clustfactor == k), ]
-      }
-      synchros[k, ] <- synchros[k, ] + synchrosk
-      rm(synchrosk)
-    }
-    
-  }
-}
-
-close(con)                      # close connection to the file
-
-synchros <- data.frame(t(synchros), total = colSums(synchros))
-
-# write.table(synchros, file = "~/tmp/2010_synchros200RC.txt")
-# write.table(synchros, file = "~/tmp/2010_synchros200-random.txt")
-# 
-# 
-
-
-dfclust <- read.table("clfit200muchos.txt")
-
-for(pepe in 1:10) {
-  synchros <- matrix(0, ncol = p, nrow = K)
-  clustfactor <- dfclust[match(rownames(datamat), rownames(tdata)), pepe]
-  for(k in 1:K){ 
-    clustk <- which(clustfactor == k)
-    if(length(clustk) > 0) {
-      if(length(clustk) > 1) {
-        synchrosk <- colSums(datamat[which(clustfactor == k), ])
-        } else {
-        synchrosk <- datamat[which(clustfactor == k), ]
-        }
-      synchros[k, ] <- synchros[k, ] + synchrosk
-      rm(synchrosk)
-    }
-  }
-  
-  synchros <- data.frame(t(synchros), total = colSums(synchros))
-  write.table(synchros, file = paste0(colnames(dfclust)[pepe], "2010.txt"))
-}
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/04_predictions.r b/old_C_code/stage2_UNFINISHED/src/unused/04_predictions.r
deleted file mode 100644 (file)
index 010880e..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/04_predictions.r
+++ /dev/null
@@ -1,159 +0,0 @@
-## File : 04_predictions.r
-## Description : Calculer les synchrones pour chaque groupe obtenu par le
-##               clustering. 
-
-rm(list = ls())
-
-setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-
-## 1. Read auxiliar data files ####
-
-#identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates09      <- as.character(dates0[grep("2009", dates0)])
-dates10      <- as.character(dates0[grep("2010", dates0)])
-dates        <- c(dates09, dates10)
-rm(dates0, dates09, dates10)
-
-n <- length(identifiants)
-p <- length(dates)
-
-# groups for the predictor
-gr_calen <- read.table("calendar_transition_groups-1996-2011.txt")
-i_start_calen <- which(rownames(gr_calen) == "2009-01-01")
-i_end_calen   <- which(rownames(gr_calen) == "2010-12-31")
-gr <- gr_calen$gr[i_start_calen:i_end_calen]
-gr <- gsub("Thu", "TWT", gr)
-gr <- gsub("Wed", "TWT", gr)
-gr <- gsub("Tue", "TWT", gr)
-
-days <- seq.Date(from = as.Date("2009/01/01"),
-                 to   = as.Date("2010/12/31"),
-                 by   = 'day')
-
-synchros09 <- as.matrix(read.table("~/tmp/2009_synchros200.txt"))
-synchros10 <- as.matrix(read.table("~/tmp/2010_synchros200.txt"))
-
-## 2. Imputation of missing values #### 
-#     (done by linear interpolation)
-nas <- which(is.na(synchros09)[, 1]) # some 1/1/2009 are missing
-synchros09[nas, 1] <- rowMeans(synchros09[nas, 2:4])
-
-imput09 <- synchros09[, 4180:4181] %*% matrix(c(2/3, 1/3, 1/3, 2/3), 2)
-imput10 <- synchros10[, 4132:4133] %*% matrix(c(2/3, 1/3, 1/3, 2/3), 2)
-
-synchros09 <- cbind(synchros09[, 1:4180], imput09, synchros09[, 4181:17518])
-synchros10 <- cbind(synchros10[, 1:4132], imput10, synchros10[, 4133:17518])
-
-
-rm(imput09, imput10, nas)
-rm(gr_calen, i_start_calen, i_end_calen)
-
-# Set start and end timepoints for the prediction
-i_00      <- which(days == "2009-01-01")
-n_00      <- which(days == "2009-12-31") 
-n_01      <- which(days == "2010-12-31")
-
-
-## 3. Construct predictors ####
-library(kerwavfun)
-synchros <- (cbind( synchros09, synchros10 ))
-
-clustfactors <- dir("~/tmp/", pattern = 'clustfactor')
-maxK <- length(clustfactors) - 1
-
-performK <- data.frame(K    = rep(NA_real_, maxK),
-                       mape = rep(NA_real_, maxK),
-                       rmse = rep(NA_real_, maxK))
-
-setwd("~/tmp/")
-for(cf in seq_along(clustfactors)) { 
-  #clustfactor <- read.table(file = "~/tmp/clustfactor3.txt")
-  clustfactor <- read.table(file = clustfactors[cf])
-
-  K <- nrow(unique(clustfactor))
-
-  performK[cf, 1] <- K
-
-  SC <- matrix(0, ncol = ncol(synchros), nrow = K)
-  for(k in 1:K){ 
-    clustk <- which(clustfactor == k)
-    if(length(clustk) > 0) {
-      if(length(clustk) > 1) {
-        SCk <- colSums(synchros[which(clustfactor == k), ])
-      } else {
-        SCk <- synchros[which(clustfactor == k), ]
-      }
-      SC[k, ] <- SC[k, ] + SCk
-      rm(SCk)
-    }
-  }
-
-  mat_Load <- matrix(colSums(SC),   ncol = 48, byrow = TRUE)
-  mat_ks   <- lapply(1:K, function(k) matrix(SC[k, ], ncol = 48, byrow = TRUE))
-
-
-  ## 2. Transform to wkdata (performs DWT) ##
- 
-  wk_Load <- wkdata(X  = c(t(mat_Load)), 
-                    gr = gr[1:nrow(mat_Load)], 
-                    p  = 48)
-
-  wks <- lapply(mat_ks, function(mat_k) 
-          wkdata(X = c(t(mat_k)), gr = gr[1:nrow(mat_Load)], p = 48))
-
-  ## 3. Begin of big loop over ##
-  grid <- n_00:(n_01 - 1) # these are the reference days
-  #h_Load <- h_k1 <- h_k2 <- h_k3 <- double(length(grid))
-
-  # output matrix of predicted days 
-  # names of the predicted days (reference days + 1)
-  pred_Load <- matrix(NA_real_, ncol = 48, nrow = length(grid))
-  preds     <- lapply(1:K, function(k) pred_Load)
-
-  go <- Sys.time()
-  for(q in seq_along(grid)[-c(121, 122, 227, 228)]) { #seq_along(grid)[-c(46:47)]
-    if((q %/% 10) == (q / 10)) cat(paste("  iteration: ", q, "\n"))
-    Q  <- grid[q]
-  
-    select_Load <- select.wkdata(wk_Load, i_00:Q)
-    aux_Load  <- wavkerfun(obj = select_Load, kerneltype = "gaussian",
-                           EPS = .Machine$double.eps) 
-    pred_Load[q, ] <- predict.wavkerfun(obj = aux_Load, cent = "DIFF")$X
-  
-    selects <- lapply(wks, function(k) select.wkdata(k, i_00:Q))
-    auxs    <- lapply(selects, 
-                      function(k) wavkerfun(obj = k, 
-                                          kerneltype = "gaussian",
-                                          EPS = .Machine$double.eps))  
-    for(k in 1:K) 
-      preds[[k]][q, ] <- predict.wavkerfun(obj = auxs[[k]], cent = "DIFF")$X
-
-  }
-  
-  top <- Sys.time()
-  #rm(wks, selects, auxs, aux_Load, mat_ks, q, Q, wk_Load)
-
-  # Compute the prediction of synchrone by the sum of individuals
-  pred_Load_sum <- Reduce('+', preds) 
-
-  ## 4. Analisis of the predictions  ####
-  resids_Load     <- pred_Load     - mat_Load[grid + 1, ] # i.e. reference days + 1
-  resids_Load_sum <- pred_Load_sum - mat_Load[grid + 1, ] # i.e. reference days + 1
-
-  mape_Load <- 100 * rowMeans(abs(resids_Load / mat_Load[grid + 1, ]))
-  rmse_Load <- sqrt(rowMeans(resids_Load^2))
-
-  mape_Load_sum <- 100 * rowMeans(abs(resids_Load_sum / mat_Load[grid + 1, ]))
-  rmse_Load_sum <- sqrt(rowMeans(resids_Load_sum^2))
-
-  performK[cf, 2] <- mean(mape_Load, na.rm = TRUE)
-  performK[cf, 3] <- mean(mape_Load_sum, na.rm = TRUE)
-#print(mean(mape_Load, na.rm = TRUE))
-#print(mean(mape_Load_sum, na.rm = TRUE))
-
-}
-
-performK <- performK[order(performK$K), ]
-plot(performK$K, performK$rmse, type = 'l', ylim = c(2,3))
-abline(h = mean(performK$mape), col = 2)

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/05_cluster2step.r b/old_C_code/stage2_UNFINISHED/src/unused/05_cluster2step.r
deleted file mode 100644 (file)
index 70dd0df..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/05_cluster2step.r
+++ /dev/null
@@ -1,74 +0,0 @@
-## File : 05_cluster2step.r
-## Description : 
-
-rm(list = ls())
-
-setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-source("~/Documents/projects/2014_EDF-Lyon2/R/01_StBr.r") # aux functs
-source('http://eric.univ-lyon2.fr/~jcugliari/codes/functional-clustering.r')
-library(cluster)
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- as.character(dates0[grep("2009", dates0)])
-rm(dates0)
-
-n <- length(identifiants)
-p <- length(dates)
-
-synchros09 <- as.matrix(read.table("~/tmp/2009_synchros200.txt"))
-#synchros09 <- as.matrix(read.table("~/tmp/2009_synchros200RC.txt"))
-nas <- which(is.na(synchros09)[1, ]) # some 1/1/2009 are missing
-synchros09[nas, 1] <- colMeans(synchros09[2:4, nas])
-
-#synchros09 <- t(synchros09) # series on rows, use if necessary
-
-## 2. Compute contributions ####
-auxDWT     <- t(apply(synchros09, 1, toDWT))
-matcontrib <- t(apply(auxDWT,  1, contrib, rel = TRUE, logit = TRUE))
-rm(auxDWT)
-
-## 3. Transform data & compute CI ####
-ci     <- CI(matcontrib[-201, ]) # last row has the total 
-tdata  <- ci$tdata; rownames(tdata) <- rownames(matcontrib)[-201]
-
-hc    <- hclust(dist(tdata[,  ci$selectv]), method = "ward.D")
-plot(hc)
-
-#clust <- cutree(hc, 2)
-
-for(K in 2:30){ 
-  #K <- 3
-  pamfit <- pam(tdata[-201, ci$selectv], k = K, stand = FALSE)
-
-  #table(pamfit$clustering)
-
-  SC <- matrix(0, ncol = p, nrow = K)
-
-  clustfactor <- pamfit$clustering
-#  for(k in 1:K){ 
-#    clustk <- which(clustfactor == k)
-#  if(length(clustk) > 0) {
-#    if(length(clustk) > 1) {
-#      SCk <- colSums(synchros09[which(clustfactor == k), ])
-#      } else {
-#        SCk <- synchros09[which(clustfactor == k), ]
-#      }
-#      SC[k, ] <- SC[k, ] + SCk
-#      rm(SCk)
-#  }
-#}
-
-  write.table(clustfactor, file = paste0("~/tmp/clustfactorRC", K, ".txt"))
-#write.table(clustfactor, file = "~/tmp/clustfactor3.txt")
-}
-
-# Plots
-layout(1)
-matplot(t(SC)[48*10 + 1:(48*30), ],  type = 'l', ylab = '',col = 1:3, lty = 1)
-matplot(t(SC)[48*100 + 1:(48*30), ], type = 'l', ylab = '', col = 1:3, lty = 1)
-
-
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/05_cluster2stepWER-RANDOM.r b/old_C_code/stage2_UNFINISHED/src/unused/05_cluster2stepWER-RANDOM.r
deleted file mode 100644 (file)
index 5ba44a1..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/05_cluster2stepWER-RANDOM.r
+++ /dev/null
@@ -1,135 +0,0 @@
-## File : 05_cluster2stepWER.r
-## Description : 
-
-rm(list = ls())
-
-if(Sys.info()[4] ==  "mojarrita"){ 
-  setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-} else {
-  setwd("~/2014_EDF-Orsay-Lyon2/codes/")
-}
-  
-library(Rwave)       # CWT
-library(cluster)     # pam
-#library(flexclust)   # kcca
-source("aux.r")               # auxiliary clustering functions 
-source("sowas-superseded.r")  # auxiliary CWT functions
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- as.character(dates0[grep("2009", dates0)])
-rm(dates0)
-
-n     <- length(identifiants)
-p <- delta <- length(dates)
-
-load("~/tmp/2009_synchros200RND")
-synchros09 <- synchros[[1]]
-#synchros09 <- as.matrix(read.table("~/tmp/2009_synchros200RANDOM.txt"))
-#synchros09 <- t(as.matrix(read.table("~/tmp/2009_synchros200RANDOM.txt")))
-nas <- which(is.na(synchros09)[, 1]) # some 1/1/2009 are missing
-synchros09[nas, 1] <- rowMeans(synchros09[nas, 2:4])
-
-imput09 <- synchros09[, 4180:4181] %*% matrix(c(2/3, 1/3, 1/3, 2/3), 2)
-synchros09 <- cbind(synchros09[, 1:4180], imput09, synchros09[, 4181:17518])
-
-conso <- (synchros09)[-201, ];  # series must be on rows 
-n     <- nrow(conso)
-delta <- ncol(conso)
-
-rm(synchros09, nas)
-
-## 2. Compute WER distance matrix ####
-
-## _.a CWT -- Filtering the lowest freqs (>6m) ####
-nvoice   <- 4
-# noctave4 = 2^13 = 8192 half hours ~ 180 days
-noctave4 <- adjust.noctave(N = delta, dt = 1, s0 = 2,
-                           tw = 0, noctave = 13)
-# 4 here represent 2^5 = 32 half-hours ~ 1 day
-scalevector4  <- 2^(4:(noctave4 * nvoice) / nvoice) * 2
-lscvect4      <- length(scalevector4)
-lscvect <- lscvect4  # i should clean my code: werFam demands a lscvect
-Xcwt4   <- toCWT(conso, noctave = noctave4, dt = 1,
-                 scalevector = scalevector4,
-                 lt = delta, smooth = FALSE, 
-                 nvoice = nvoice)      # observations node with CWT
-
-Xcwt2 <- matrix(0.0, nrow= n, ncol= 2 + delta * lscvect)
-Xcwt2 <- matrix(NA_complex_, nrow= n, ncol= 2 + length((c(Xcwt4[,,1]))))
-
-for(i in 1:n) 
-  Xcwt2[i,] <- c(delta, lscvect, Xcwt4[,,i] / max(Mod(Xcwt4[,,i])) ) 
-
-rm(conso, Xcwt4); gc()
-
-## _.b WER^2 distances  ########
-Xwer_dist    <- matrix(0.0, n, n)
-for(i in 1:(n - 1)){
-  cat(sprintf('\nIter: , %i', i))
-  mat1   <- vect2mat(Xcwt2[i,])
-  for(j in (i + 1):n){
-    mat2 <- vect2mat(Xcwt2[j,])
-    num     <- Mod(mat1 * Conj(mat2))
-    WX      <- Mod(mat1 * Conj(mat1))
-    WY      <- Mod(mat2 * Conj(mat2))
-    smsmnum <- smCWT(num, scalevector = scalevector4)
-    smsmWX  <- smCWT(WX,  scalevector = scalevector4)
-    smsmWY  <- smCWT(WY,  scalevector = scalevector4)
-    wer2    <- sum(colSums(smsmnum)^2)  /
-      sum( sum(colSums(smsmWX) * colSums(smsmWY)) )
-    Xwer_dist[i, j] <- sqrt(delta * lscvect * (1 - wer2))
-    Xwer_dist[j, i] <- Xwer_dist[i, j]
-  }
-}
-diag(Xwer_dist) <- numeric(n)
-
-save(Xwer_dist, file = "../res/2009_synchros200RANDOM-WER.Rdata")
-
-#load("../res/2009_synchros200WER.Rdata")
-
-
-## 3. Cluster using WER distance matrix ####
- 
-#hc    <- hclust(as.dist(Xwer_dist), method = "ward.D")
-#plot(hc)
-# 
-# #clust <- cutree(hc, 2)
-# 
- for(K in 2:30){ 
-   #K <- 3
-   #pamfit <- pam(tdata[-201, ci$selectv], k = K)
-   pamfit <- pam(as.dist(Xwer_dist), k = K, diss = TRUE)
-   
-   #table(pamfit$clustering)
- 
-   SC <- matrix(0, ncol = p, nrow = K)
- 
-   clustfactor <- pamfit$clustering
- #  for(k in 1:K){ 
- #    clustk <- which(clustfactor == k)
- #  if(length(clustk) > 0) {
- #    if(length(clustk) > 1) {
- #      SCk <- colSums(synchros09[which(clustfactor == k), ])
- #      } else {
- #        SCk <- synchros09[which(clustfactor == k), ]
- #      }
- #      SC[k, ] <- SC[k, ] + SCk
- #      rm(SCk)
- #  }
- #}
- 
-# #write.table(clustfactor, file = paste0("~/tmp/clustfactorRC", K, ".txt"))
-# #write.table(clustfactor, file = "~/tmp/clustfactor3.txt")
- write.table(clustfactor, file = paste0("~/tmp/clustfactorRANDOM", K, ".txt"))
- }
-# 
-# # Plots
-# layout(1)
-# matplot(t(SC)[48*10 + 1:(48*30), ],  type = 'l', ylab = '',col = 1:3, lty = 1)
-# matplot(t(SC)[48*100 + 1:(48*30), ], type = 'l', ylab = '', col = 1:3, lty = 1)
-# 
-# 
-# 

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/05_cluster2stepWER-par.r b/old_C_code/stage2_UNFINISHED/src/unused/05_cluster2stepWER-par.r
deleted file mode 100644 (file)
index 90988dc..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/05_cluster2stepWER-par.r
+++ /dev/null
@@ -1,153 +0,0 @@
-## File : 05_cluster2stepWER.r
-## Description : 
-
-rm(list = ls())
-
-if(Sys.info()[4] ==  "mojarrita"){ 
-  setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-} else {
-  setwd("~/ownCloud/projects/2014_EDF-Orsay-Lyon2/codes/")
-}
-  
-library(Rwave)       # CWT
-library(cluster)     # pam
-#library(flexclust)   # kcca
-source("aux.r")               # auxiliary clustering functions 
-source("sowas-superseded.r")  # auxiliary CWT functions
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates        <- as.character(dates0[grep("2009", dates0)])
-rm(dates0)
-
-#n <- length(identifiants)
-#p <- length(dates)
-
-load('~/tmp/2009synchrosdf200WER')
-#load('../res/2009_synchros200WER.Rdata')
-synchros09 <- synchros
-load('~/tmp/2010synchrosdf200WER')
-synchros10 <- synchros; rm(synchros)
-
-conso <- lapply(synchros09, function(ll) { 
-                nas <- which(is.na(ll)[, 1]) # some 1/1/2009 are missing
-                ll[nas, 1] <- rowMeans(ll[nas, 2:4])
-                imput <- ll[, 4180:4181] %*% matrix(c(2/3, 1/3, 1/3, 2/3), 2)
-                cbind(ll[, 1:4180], imput, ll[, 4181:17518]) } )
-
-n     <- nrow(conso[[1]])
-delta <- ncol(conso[[1]])
-rm(synchros09)
-
-
-## 2. Compute WER distance matrix ####
-
-## _.a CWT -- Filtering the lowest freqs (>6m) ####
-nvoice   <- 4
-# noctave4 = 2^13 = 8192 half hours ~ 180 days
-noctave4 <- adjust.noctave(N = delta, dt = 1, s0 = 2,
-                           tw = 0, noctave = 13)
-# 4 here represent 2^5 = 32 half-hours ~ 1 day
-scalevector4  <- 2^(4:(noctave4 * nvoice) / nvoice) * 2
-lscvect4      <- length(scalevector4)
-lscvect <- lscvect4  # i should clean my code: werFam demands a lscvect
-
-Xcwt4 <- lapply(conso, function(ll)
-  toCWT(ll, noctave = noctave4, dt = 1,
-        scalevector = scalevector4,
-        lt = delta, smooth = FALSE, 
-        nvoice = nvoice)      # observations node with CWT
-  )
-
-rm(conso)
-
-Xcwt4 <- lapply(conso, function(ll) {
-  aux <- toCWT(ll, noctave = noctave4, dt = 1,
-               scalevector = scalevector4,
-               lt = delta, smooth = FALSE, 
-               nvoice = nvoice)      # observations node with CWT
-  res <- matrix(NA_complex_, nrow = n, ncol= 2 + length((c(aux[,,1]))))
-  for(i in 1:n) 
-    res[i, ] <- c(delta, lscvect, res[,,i] / max(Mod(res[,,i])) ) 
-  res })
-
-rm(conso)
-
-
-#Xcwt2 <- matrix(0.0, nrow= n, ncol= 2 + delta * lscvect)
-#Xcwt2 <- matrix(NA_complex_, nrow= n, ncol= 2 + length((c(Xcwt4[,,1]))))
-
-#for(i in 1:n) 
-#  Xcwt2[i,] <- c(delta, lscvect, Xcwt4[,,i] / max(Mod(Xcwt4[,,i])) ) 
-
-#rm(conso, Xcwt4); gc()
-
-## _.b WER^2 distances  ########
-#Xwer_dist    <- matrix(0.0, n, n)
-#for(i in 1:(n - 1)){
-#  mat1   <- vect2mat(Xcwt2[i,])
-#  for(j in (i + 1):n){
-#     mat2 <- vect2mat(Xcwt2[j,])
-#     num     <- Mod(mat1 * Conj(mat2))
-#     WX      <- Mod(mat1 * Conj(mat1))
-#     WY      <- Mod(mat2 * Conj(mat2))
-#     smsmnum <- smCWT(num, scalevector = scalevector4)
-#     smsmWX  <- smCWT(WX,  scalevector = scalevector4)
-#     smsmWY  <- smCWT(WY,  scalevector = scalevector4)
-#     wer2    <- sum(colSums(smsmnum)^2)  /
-#       sum( sum(colSums(smsmWX) * colSums(smsmWY)) )
-#     Xwer_dist[i, j] <- sqrt(delta * lscvect * (1 - wer2))
-#     Xwer_dist[j, i] <- Xwer_dist[i, j]
-#   }
-# }
-# diag(Xwer_dist) <- numeric(n)
-# 
-# save(Xwer_dist, file = "../res/2009_synchros200WER.Rdata")
-
-load("../res/2009_synchros200WER.Rdata")
-
-
-## 3. Cluster using WER distance matrix ####
- 
-#hc    <- hclust(as.dist(Xwer_dist), method = "ward.D")
-#plot(hc)
-# 
-# #clust <- cutree(hc, 2)
-# 
-for(K in 2:30){ 
-  #K <- 3
-  #pamfit <- pam(tdata[-201, ci$selectv], k = K)
-  pamfit <- pam(as.dist(Xwer_dist), k = K, diss = TRUE)
-  
-  #table(pamfit$clustering)
-
-  SC <- matrix(0, ncol = p, nrow = K)
-
-  clustfactor <- pamfit$clustering
-#  for(k in 1:K){ 
-#    clustk <- which(clustfactor == k)
-#  if(length(clustk) > 0) {
-#    if(length(clustk) > 1) {
-#      SCk <- colSums(synchros09[which(clustfactor == k), ])
-#      } else {
-#        SCk <- synchros09[which(clustfactor == k), ]
-#      }
-#      SC[k, ] <- SC[k, ] + SCk
-#      rm(SCk)
-#  }
-#}
-
-#write.table(clustfactor, file = paste0("~/tmp/clustfactorRC", K, ".txt"))
-#write.table(clustfactor, file = "~/tmp/clustfactor3.txt")
-write.table(clustfactor, file = paste0("~/tmp/clustfactorWER", K, ".txt"))
-}
-# 
-# # Plots
-# layout(1)
-# matplot(t(SC)[48*10 + 1:(48*30), ],  type = 'l', ylab = '',col = 1:3, lty = 1)
-# matplot(t(SC)[48*100 + 1:(48*30), ], type = 'l', ylab = '', col = 1:3, lty = 1)
-# 
-# 
-# 

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/06_predictions-ICAME.r b/old_C_code/stage2_UNFINISHED/src/unused/06_predictions-ICAME.r
deleted file mode 100644 (file)
index b7696a2..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/06_predictions-ICAME.r
+++ /dev/null
@@ -1,160 +0,0 @@
-## File : 06_predictions-ICAME.r
-## Description : Prévoir les synchrones des classes ICAME. 
-
-
-rm(list = ls())
-
-if(Sys.info()[4] ==  "mojarrita"){ 
-  setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-} else {
-  setwd("~/2014_EDF-Orsay-Lyon2/codes/")
-}
-
-## 1. Read auxiliar data files ####
-#identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates09      <- as.character(dates0[grep("2009", dates0)])
-dates10      <- as.character(dates0[grep("2010", dates0)])
-dates        <- c(dates09, dates10)
-rm(dates0, dates09, dates10)
-
-#n <- length(identifiants)
-p <- length(dates)
-
-# groups for the predictor
-gr_calen <- read.table("calendar_transition_groups-1996-2011.txt")
-i_start_calen <- which(rownames(gr_calen) == "2009-01-01")
-i_end_calen   <- which(rownames(gr_calen) == "2010-12-31")
-gr <- gr_calen$gr[i_start_calen:i_end_calen]
-gr <- gsub("Thu", "TWT", gr)
-gr <- gsub("Wed", "TWT", gr)
-gr <- gsub("Tue", "TWT", gr)
-
-days <- seq.Date(from = as.Date("2009/01/01"),
-                 to   = as.Date("2010/12/31"),
-                 by   = 'day')
-
-
-setwd("../classes ICAME/synchrones_classif_ICAME/")
-files_ICAME <- dir(pattern = "*TR-32V*")
-K_ICAME  <- length(files_ICAME)
-SC       <- matrix(NA_real_, nrow = K_ICAME, ncol = p + 4) # NA missing in dates 
-                                                           # (summer time saving)
-
-for(k in 1:K_ICAME){ 
-  df <- read.table(file = files_ICAME[k], header = TRUE)
-  SC[k, ] <- subset(x      = df,                    # series must be on rows
-                    subset = Year == "2009" | Year == "2010", 
-                    select = "Load")[[1]]
-}
-
-
-rm(df, files_ICAME, k)
-rm(gr_calen, i_start_calen, i_end_calen)
-
-# Set start and end timepoints for the prediction
-i_00      <- which(days == "2009-01-01")
-n_00      <- which(days == "2009-12-31") 
-n_01      <- which(days == "2010-12-31")
-
-
-## 2. Transform data into wkdata ####
-library(kerwavfun)
-
-mat_Load <- matrix(colSums(SC),   ncol = 48, byrow = TRUE)
-mat_ks   <- lapply(1:K_ICAME, function(k) matrix(data  = SC[k, ], 
-                                                 ncol  = 48, 
-                                                 byrow = TRUE))
-  
-wk_Load <- wkdata(X  = c(t(mat_Load)), 
-                  gr = gr[1:nrow(mat_Load)], 
-                  p  = 48)
-  
-wks <- lapply(mat_ks, function(mat_k) 
-       wkdata(X = c(t(mat_k)), gr = gr[1:nrow(mat_Load)], p = 48))
-  
-## 3. Begin of big loop over grid ##
-grid <- n_00:(n_01 - 1) # these are the reference days
-#h_Load <- h_k1 <- h_k2 <- h_k3 <- double(length(grid))
-  
-# output matrix of predicted days 
-# names of the predicted days (reference days + 1)
-pred_Load <- matrix(NA_real_, ncol = 48, nrow = length(grid))
-preds     <- lapply(1:K_ICAME, function(k) pred_Load)
-  
-go <- Sys.time()
-for(q in seq_along(grid)[-c(121, 122, 227, 228)]) { #seq_along(grid)[-c(46:47)]
-  if((q %/% 10) == (q / 10)) cat(paste("  iteration: ", q, "\n"))
-  Q  <- grid[q]
-    
-  select_Load <- select.wkdata(wk_Load, i_00:Q)
-  aux_Load  <- wavkerfun(obj = select_Load, kerneltype = "gaussian",
-                         EPS = .Machine$double.eps) 
-  pred_Load[q, ] <- predict.wavkerfun(obj = aux_Load, cent = "DIFF")$X
-    
-  selects <- lapply(wks, function(k) select.wkdata(k, i_00:Q))
-  auxs    <- lapply(selects, 
-                    function(k) wavkerfun(obj = k, 
-                                          kerneltype = "gaussian",
-                                          EPS = .Machine$double.eps))  
-  for(k in 1:K_ICAME) 
-    preds[[k]][q, ] <- predict.wavkerfun(obj = auxs[[k]], cent = "DIFF")$X
-    
-}
-top <- Sys.time()
-#rm(wks, selects, auxs, aux_Load, mat_ks, q, Q, wk_Load)
-  
-
-preds <- lapply(preds, function(dd) {dd[dd<0] <- 0; dd} )
-# Compute the prediction of synchrone by the sum of individuals
-pred_Load_sum <- Reduce('+', preds) 
-  
-
-vect_preds <- data.frame(lapply(preds, function(dd) c(t(dd))))
-names(vect_preds) <- paste0("icame", 1:K_ICAME)
-
-vect_Load <- c(t(pred_Load))
-vect_gtop <- matrix(NA_real_, ncol = K_ICAME, nrow = length(vect_Load))
-
-
-for(tt in seq_along(vect_gtop)) {
-  VALID <- !any(is.na(vect_preds[tt, ])) & # compute gtop only when no NAs
-           tt < 17511  # these rows present a problem ==> why? (matbe too much 0s in preds_indiv)
-    if(VALID) { 
-    res <- gtop(preds_indiv   = as.numeric(vect_preds[tt, ]),
-                pred_total    = vect_Load[tt],
-                weights_indiv = rep(1, K_ICAME),
-                weight_total = 1,
-                bounds_indiv = 0.05 * as.numeric(vect_preds[tt, ]))
-    vect_gtop[tt, ] <- res$preds_indiv[1:K_ICAME] # last value is the sum
-    }
-  }
-
-vect_gtop_sum <- rowSums(vect_gtop)
-pred_gtop_sum <- matrix(vect_gtop_sum, ncol = 48, byrow = TRUE)
-
-## 4. Analisis of the predictions  ####
-resids_Load     <- pred_Load     - mat_Load[grid + 1, ] # i.e. reference days + 1
-resids_Load_sum <- pred_Load_sum - mat_Load[grid + 1, ] # i.e. reference days + 1
-resids_gtop_sum <- pred_gtop_sum - mat_Load[grid + 1, ]
-
-mape_Load <- 100 * rowMeans(abs(resids_Load / mat_Load[grid + 1, ]))
-rmse_Load <- sqrt(rowMeans(resids_Load^2))
-  
-mape_Load_sum <- 100 * rowMeans(abs(resids_Load_sum / mat_Load[grid + 1, ]))
-rmse_Load_sum <- sqrt(rowMeans(resids_Load_sum^2))
-
-mape_gtop_sum <- 100 * rowMeans(abs(resids_gtop_sum / mat_Load[grid + 1, ]))
-rmse_gtop_sum <- sqrt(rowMeans(resids_gtop_sum^2))
-
-
-mean(mape_Load, na.rm = TRUE)
-mean(mape_Load_sum, na.rm = TRUE)
-mean(mape_gtop_sum, na.rm = TRUE)
-#print(mean(mape_Load, na.rm = TRUE))
-#print(mean(mape_Load_sum, na.rm = TRUE))
-  
-
-mean(rmse_Load, na.rm = TRUE)
-mean(rmse_Load_sum, na.rm = TRUE)
-mean(rmse_gtop_sum, na.rm = TRUE)

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/06_predictions-RANDOM.r b/old_C_code/stage2_UNFINISHED/src/unused/06_predictions-RANDOM.r
deleted file mode 100644 (file)
index efc315c..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/06_predictions-RANDOM.r
+++ /dev/null
@@ -1,218 +0,0 @@
-## File : 06_predictions.r
-## Description : Calculer les synchrones pour chaque groupe 
-##               obtenu par le clustering. 
-
-rm(list = ls())
-
-if(Sys.info()[4] ==  "mojarrita"){ 
-  setwd("~/recherche/03_projects/2014_EDF-Orsay-Lyon2/codes/")
-} else {
-  setwd("~/2014_EDF-Orsay-Lyon2/codes/")
-}
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates09      <- as.character(dates0[grep("2009", dates0)])
-dates10      <- as.character(dates0[grep("2010", dates0)])
-dates        <- c(dates09, dates10)
-rm(dates0, dates09, dates10)
-
-n <- length(identifiants)
-p <- length(dates)
-
-# groups for the predictor
-gr_calen <- read.table("calendar_transition_groups-1996-2011.txt")
-i_start_calen <- which(rownames(gr_calen) == "2009-01-01")
-i_end_calen   <- which(rownames(gr_calen) == "2010-12-31")
-gr <- gr_calen$gr[i_start_calen:i_end_calen]
-gr <- gsub("Thu", "TWT", gr)
-gr <- gsub("Wed", "TWT", gr)
-gr <- gsub("Tue", "TWT", gr)
-
-days <- seq.Date(from = as.Date("2009/01/01"),
-                 to   = as.Date("2010/12/31"),
-                 by   = 'day')
-
-#synchros09 <- as.matrix(read.table("~/tmp/2009_synchros200.txt"))
-#synchros10 <- as.matrix(read.table("~/tmp/2010_synchros200.txt"))
-#synchros09 <- as.matrix(read.table("~/tmp/2009_synchros200RC.txt"))
-#synchros10 <- as.matrix(read.table("~/tmp/2010_synchros200RC.txt"))
-synchros09 <- as.matrix(read.table("~/tmp/2009_synchros200RC.txt"))
-synchros10 <- as.matrix(read.table("~/tmp/2010_synchros200RC.txt"))
-
-
-synchros09 <- t(synchros09) # series must be on rows
-synchros10 <- t(synchros10) # series must be on rows
-
-## 2. Imputation of missing values #### 
-#     (done by linear interpolation)
-nas <- which(is.na(synchros09)[, 1]) # some 1/1/2009 are missing
-synchros09[nas, 1] <- rowMeans(synchros09[nas, 2:4])
-
-imput09 <- synchros09[, 4180:4181] %*% matrix(c(2/3, 1/3, 1/3, 2/3), 2)
-imput10 <- synchros10[, 4132:4133] %*% matrix(c(2/3, 1/3, 1/3, 2/3), 2)
-
-synchros09 <- cbind(synchros09[, 1:4180], imput09, synchros09[, 4181:17518])
-synchros10 <- cbind(synchros10[, 1:4132], imput10, synchros10[, 4133:17518])
-
-
-rm(imput09, imput10, nas)
-rm(gr_calen, i_start_calen, i_end_calen)
-
-# Set start and end timepoints for the prediction
-i_00      <- which(days == "2009-01-01")
-n_00      <- which(days == "2009-12-31") 
-n_01      <- which(days == "2010-12-31")
-
-
-## 3. Construct predictors ####
-library(kerwavfun)
-synchros <- (cbind( synchros09, synchros10 ))[-201, ]
-
-#clustfactors <- dir("~/tmp/", pattern = 'clustfactorAC')
-#clustfactors <- dir("~/tmp/", pattern = 'clustfactorRC')
-#clustfactors <- dir("~/tmp/", pattern = 'clustfactorWER')
-clustfactors <- dir("~/tmp/", pattern = 'clustfactorRANDOM')
-
-maxK <- length(clustfactors) - 1
-
-performK <- data.frame(K    = rep(NA_real_, maxK),
-                       mape = rep(NA_real_, maxK),
-                       rmse = rep(NA_real_, maxK))
-
-setwd("~/tmp/")
-for(cf in seq_along(clustfactors)) { 
-  #clustfactor <- read.table(file = "~/tmp/clustfactor3.txt")
-  clustfactor <- read.table(file = clustfactors[cf])
-
-  K <- nrow(unique(clustfactor))
-
-  performK[cf, 1] <- K
-
-  SC <- matrix(0, ncol = ncol(synchros), nrow = K)
-  for(k in 1:K){ 
-    clustk <- which(clustfactor == k)
-    if(length(clustk) > 0) {
-      if(length(clustk) > 1) {
-        SCk <- colSums(synchros[which(clustfactor == k), ])
-      } else {
-        SCk <- synchros[which(clustfactor == k), ]
-      }
-      SC[k, ] <- SC[k, ] + SCk
-      rm(SCk)
-    }
-  }
-
-  mat_Load <- matrix(colSums(SC),   ncol = 48, byrow = TRUE)
-  mat_ks   <- lapply(1:K, function(k) matrix(SC[k, ], ncol = 48, byrow = TRUE))
-
-
-  ## 2. Transform to wkdata (performs DWT) ##
- 
-  wk_Load <- wkdata(X  = c(t(mat_Load)), 
-                    gr = gr[1:nrow(mat_Load)], 
-                    p  = 48)
-
-  wks <- lapply(mat_ks, function(mat_k) 
-          wkdata(X = c(t(mat_k)), gr = gr[1:nrow(mat_Load)], p = 48))
-
-  ## 3. Begin of big loop over ##
-  grid <- n_00:(n_01 - 1) # these are the reference days
-  #h_Load <- h_k1 <- h_k2 <- h_k3 <- double(length(grid))
-
-  # output matrix of predicted days 
-  # names of the predicted days (reference days + 1)
-  pred_Load <- matrix(NA_real_, ncol = 48, nrow = length(grid))
-  preds     <- lapply(1:K, function(k) pred_Load)
-
-  go <- Sys.time()
-  for(q in seq_along(grid)[-c(121, 122, 227, 228)]) { #seq_along(grid)[-c(46:47)]
-    if((q %/% 10) == (q / 10)) cat(paste("  iteration: ", q, "\n"))
-    Q  <- grid[q]
-  
-    select_Load <- select.wkdata(wk_Load, i_00:Q)
-    aux_Load  <- wavkerfun(obj = select_Load, kerneltype = "gaussian",
-                           EPS = .Machine$double.eps) 
-    pred_Load[q, ] <- predict.wavkerfun(obj = aux_Load, cent = "DIFF")$X
-  
-    selects <- lapply(wks, function(k) select.wkdata(k, i_00:Q))
-    auxs    <- lapply(selects, 
-                      function(k) wavkerfun(obj = k, 
-                                          kerneltype = "gaussian",
-                                          EPS = .Machine$double.eps))  
-    for(k in 1:K) 
-      preds[[k]][q, ] <- predict.wavkerfun(obj = auxs[[k]], cent = "DIFF")$X
-
-  }
-  
-  top <- Sys.time()
-  #rm(wks, selects, auxs, aux_Load, mat_ks, q, Q, wk_Load)
-
-  # Compute the prediction of synchrone by the sum of individuals
-  pred_Load_sum <- Reduce('+', preds) 
-
-  ## 4. Analisis of the predictions  ####
-  resids_Load     <- pred_Load     - mat_Load[grid + 1, ] # i.e. reference days + 1
-  resids_Load_sum <- pred_Load_sum - mat_Load[grid + 1, ] # i.e. reference days + 1
-
-  mape_Load <- 100 * rowMeans(abs(resids_Load / mat_Load[grid + 1, ]))
-  rmse_Load <- sqrt(rowMeans(resids_Load^2))
-
-  mape_Load_sum <- 100 * rowMeans(abs(resids_Load_sum / mat_Load[grid + 1, ]))
-  rmse_Load_sum <- sqrt(rowMeans(resids_Load_sum^2))
-
-  performK[cf, 2] <- mean(mape_Load, na.rm = TRUE)
-  performK[cf, 3] <- mean(mape_Load_sum, na.rm = TRUE)
-#print(mean(mape_Load, na.rm = TRUE))
-#print(mean(mape_Load_sum, na.rm = TRUE))
-
-}
-
-
-performKwer <- performK
-
-#performKrc <- read.table("~/Documents/projects/2014_EDF-Orsay-Lyon2/res/perform200RC.txt")
-#write.table(file = '~/Documents/projects/2014_EDF-Orsay-Lyon2/res/perform200RC.txt',
-#            performK)
-#write.table(file = '~/ownCloud/projects/2014_EDF-Orsay-Lyon2/res/perform200RANDOM.txt',
-#            performK)
-
-#performK <- data.frame(K   = performKrc$K,
-#                       rc  = performKrc$rmse,
-#                       wer = performKwer$rmse)
-
-
-setwd("~/recherche/03_projects/2014_EDF-Orsay-Lyon2/res/")
-performKWER <- read.table("perform200WER.txt")
-performKRND <- read.table("perform200RANDOM.txt")
-performKrnd <- read.table("perform200-random.txt")
-
-performKWER <- performKWER[order(performKWER$K), ]
-performKRND <- performKRND[order(performKRND$K), ]
-performKrnd <- performKrnd[order(performKrnd$K), ]
-
-perform <- data.frame(k       = performKRND$K,
-                      k_check = performKWER$K,
-                      random1 = performKrnd$rmse,
-                      random2 = performKRND$rmse,
-                      wer     = performKWER$rmse,
-                      agg     = performKWER$mape)
-
-pdf("~/perf.pdf", width = 10)
-plot(perform$k, perform$wer, type = 'l', ylim = c(1.7,2.2),
-     lwd = 2, col = "darkgrey", xlab = "Nb Cluster", 
-     ylab = "MAPE (in  %)")
-lines(perform$k, perform$random2, lty = 2, lwd = 2)
-lines(perform$k, perform$random1, lty = 3, lwd = 2)
-abline(h = mean(perform$agg), lwd = 2)
-legend("topright", c('AGG', "Random > WER", "RC > Random", "RC > WER"), 
-       lwd = 2, lty = c(1, 3, 2, 1),
-       col = c(1, 1, 1, "darkgrey"), bg = "white")
-dev.off()
-
-
-
-
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/06_predictions-par.r b/old_C_code/stage2_UNFINISHED/src/unused/06_predictions-par.r
deleted file mode 100644 (file)
index 4df8d27..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/06_predictions-par.r
+++ /dev/null
@@ -1,190 +0,0 @@
-## File : 06_predictions.r
-## Description : Calculer les synchrones pour chaque groupe 
-##               obtenu par le clustering. 
-
-rm(list = ls())
-
-if(Sys.info()[4] ==  "mojarrita"){ 
-  setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
-} else {
-  setwd("~/2014_EDF-Orsay-Lyon2/codes/")
-}
-
-## 1. Read auxiliar data files ####
-
-identifiants <- read.table("identifs.txt")[ ,1]
-dates0       <- read.table("datesall.txt")[, 1]
-dates09      <- as.character(dates0[grep("2009", dates0)])
-dates10      <- as.character(dates0[grep("2010", dates0)])
-dates        <- c(dates09, dates10)
-rm(dates0, dates09, dates10)
-
-n <- length(identifiants)
-p <- length(dates)
-
-# groups for the predictor
-gr_calen <- read.table("calendar_transition_groups-1996-2011.txt")
-i_start_calen <- which(rownames(gr_calen) == "2009-01-01")
-i_end_calen   <- which(rownames(gr_calen) == "2010-12-31")
-gr <- gr_calen$gr[i_start_calen:i_end_calen]
-gr <- gsub("Thu", "TWT", gr)
-gr <- gsub("Wed", "TWT", gr)
-gr <- gsub("Tue", "TWT", gr)
-
-days <- seq.Date(from = as.Date("2009/01/01"),
-                 to   = as.Date("2010/12/31"),
-                 by   = 'day')
-
-#synchros09 <- as.matrix(read.table("~/tmp/2009_synchros200.txt"))
-#synchros10 <- as.matrix(read.table("~/tmp/2010_synchros200.txt"))
-synchros09 <- as.matrix(read.table("~/tmp/2009_synchros200RC.txt"))
-synchros10 <- as.matrix(read.table("~/tmp/2010_synchros200RC.txt"))
-
-synchros09 <- t(synchros09) # series must be on rows
-synchros10 <- t(synchros10) # series must be on rows
-
-## 2. Imputation of missing values #### 
-#     (done by linear interpolation)
-nas <- which(is.na(synchros09)[, 1]) # some 1/1/2009 are missing
-synchros09[nas, 1] <- rowMeans(synchros09[nas, 2:4])
-
-imput09 <- synchros09[, 4180:4181] %*% matrix(c(2/3, 1/3, 1/3, 2/3), 2)
-imput10 <- synchros10[, 4132:4133] %*% matrix(c(2/3, 1/3, 1/3, 2/3), 2)
-
-synchros09 <- cbind(synchros09[, 1:4180], imput09, synchros09[, 4181:17518])
-synchros10 <- cbind(synchros10[, 1:4132], imput10, synchros10[, 4133:17518])
-
-
-rm(imput09, imput10, nas)
-rm(gr_calen, i_start_calen, i_end_calen)
-
-# Set start and end timepoints for the prediction
-i_00      <- which(days == "2009-01-01")
-n_00      <- which(days == "2009-12-31") 
-n_01      <- which(days == "2010-12-31")
-
-
-## 3. Construct predictors ####
-library(kerwavfun)
-synchros <- (cbind( synchros09, synchros10 ))[-201, ]
-
-#clustfactors <- dir("~/tmp/", pattern = 'clustfactorAC')
-#clustfactors <- dir("~/tmp/", pattern = 'clustfactorRC')
-clustfactors <- dir("~/tmp/", pattern = 'clustfactorWER')
-
-maxK <- length(clustfactors) - 1
-
-performK <- data.frame(K    = rep(NA_real_, maxK),
-                       mape = rep(NA_real_, maxK),
-                       rmse = rep(NA_real_, maxK))
-
-setwd("~/tmp/")
-for(cf in seq_along(clustfactors)) { 
-  #clustfactor <- read.table(file = "~/tmp/clustfactor3.txt")
-  clustfactor <- read.table(file = clustfactors[cf])
-
-  K <- nrow(unique(clustfactor))
-
-  performK[cf, 1] <- K
-
-  SC <- matrix(0, ncol = ncol(synchros), nrow = K)
-  for(k in 1:K){ 
-    clustk <- which(clustfactor == k)
-    if(length(clustk) > 0) {
-      if(length(clustk) > 1) {
-        SCk <- colSums(synchros[which(clustfactor == k), ])
-      } else {
-        SCk <- synchros[which(clustfactor == k), ]
-      }
-      SC[k, ] <- SC[k, ] + SCk
-      rm(SCk)
-    }
-  }
-
-  mat_Load <- matrix(colSums(SC),   ncol = 48, byrow = TRUE)
-  mat_ks   <- lapply(1:K, function(k) matrix(SC[k, ], ncol = 48, byrow = TRUE))
-
-
-  ## 2. Transform to wkdata (performs DWT) ##
- 
-  wk_Load <- wkdata(X  = c(t(mat_Load)), 
-                    gr = gr[1:nrow(mat_Load)], 
-                    p  = 48)
-
-  wks <- lapply(mat_ks, function(mat_k) 
-          wkdata(X = c(t(mat_k)), gr = gr[1:nrow(mat_Load)], p = 48))
-
-  ## 3. Begin of big loop over ##
-  grid <- n_00:(n_01 - 1) # these are the reference days
-  #h_Load <- h_k1 <- h_k2 <- h_k3 <- double(length(grid))
-
-  # output matrix of predicted days 
-  # names of the predicted days (reference days + 1)
-  pred_Load <- matrix(NA_real_, ncol = 48, nrow = length(grid))
-  preds     <- lapply(1:K, function(k) pred_Load)
-
-  go <- Sys.time()
-  for(q in seq_along(grid)[-c(121, 122, 227, 228)]) { #seq_along(grid)[-c(46:47)]
-    if((q %/% 10) == (q / 10)) cat(paste("  iteration: ", q, "\n"))
-    Q  <- grid[q]
-  
-    select_Load <- select.wkdata(wk_Load, i_00:Q)
-    aux_Load  <- wavkerfun(obj = select_Load, kerneltype = "gaussian",
-                           EPS = .Machine$double.eps) 
-    pred_Load[q, ] <- predict.wavkerfun(obj = aux_Load, cent = "DIFF")$X
-  
-    selects <- lapply(wks, function(k) select.wkdata(k, i_00:Q))
-    auxs    <- lapply(selects, 
-                      function(k) wavkerfun(obj = k, 
-                                          kerneltype = "gaussian",
-                                          EPS = .Machine$double.eps))  
-    for(k in 1:K) 
-      preds[[k]][q, ] <- predict.wavkerfun(obj = auxs[[k]], cent = "DIFF")$X
-
-  }
-  
-  top <- Sys.time()
-  #rm(wks, selects, auxs, aux_Load, mat_ks, q, Q, wk_Load)
-
-  # Compute the prediction of synchrone by the sum of individuals
-  pred_Load_sum <- Reduce('+', preds) 
-
-  ## 4. Analisis of the predictions  ####
-  resids_Load     <- pred_Load     - mat_Load[grid + 1, ] # i.e. reference days + 1
-  resids_Load_sum <- pred_Load_sum - mat_Load[grid + 1, ] # i.e. reference days + 1
-
-  mape_Load <- 100 * rowMeans(abs(resids_Load / mat_Load[grid + 1, ]))
-  rmse_Load <- sqrt(rowMeans(resids_Load^2))
-
-  mape_Load_sum <- 100 * rowMeans(abs(resids_Load_sum / mat_Load[grid + 1, ]))
-  rmse_Load_sum <- sqrt(rowMeans(resids_Load_sum^2))
-
-  performK[cf, 2] <- mean(mape_Load, na.rm = TRUE)
-  performK[cf, 3] <- mean(mape_Load_sum, na.rm = TRUE)
-#print(mean(mape_Load, na.rm = TRUE))
-#print(mean(mape_Load_sum, na.rm = TRUE))
-
-}
-
-
-performKwer <- performK
-
-#performKrc <- read.table("~/Documents/projects/2014_EDF-Orsay-Lyon2/res/perform200RC.txt")
-#write.table(file = '~/Documents/projects/2014_EDF-Orsay-Lyon2/res/perform200RC.txt',
-#            performK)
-write.table(file = '~/Documents/projects/2014_EDF-Orsay-Lyon2/res/perform200WER_3.txt',
-            performK)
-
-#performK <- data.frame(K   = performKrc$K,
-#                       rc  = performKrc$rmse,
-#                       wer = performKwer$rmse)
-
-
-performK <- performK[order(performK$K), ]
-
-
-#plot(performK$K, performK$rc, type = 'l', ylim = c(1.7,2.2),
-#     lwd = 2, col = 2)
-#lines(performK$K, performK$wer, col = 3, lwd = 2)
-#abline(h = mean(performKrc$mape), lwd = 2)
-#legend("topright", c('Sync 32K', 'Cl. RC', "Cl. WER"), lwd = 2, col = 1:3)

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/analysis-SME.r b/old_C_code/stage2_UNFINISHED/src/unused/analysis-SME.r
deleted file mode 100644 (file)
index 89668fa..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/analysis-SME.r
+++ /dev/null
@@ -1,104 +0,0 @@
-## File : ireland-data.r
-## Description : 
-
-rm(list = ls())
-setwd("~/ownCloud/projects/2014_EDF-Orsay-Lyon2/codes/")
-library(Rwave)       # CWT
-library(cluster)     # pam
-
-## 1. Read auxiliar data files ####
-source("aux.r")               # auxiliary clustering functions 
-source("sowas-superseded.r")  # auxiliary CWT functions
-load("~/data/Irlande/Data_CER_clean/SME.RData")
-SME <- as.matrix(SME)
-
-nbdays   <- nrow(SME) / 48
-nb_clust <- nbdays - 365 # last year to forecast
-
-id_clust <- 1:(48 * nb_clust)
-
-## 2. Compute WER distance matrix ####
-conso  <- t(SME[id_clust, ]) # ts are in lines
-N      <- delta <- ncol(conso) # length of one ts
-n      <- nrow(conso) # number of ts
-
-# # _.a CWT -- Filtering the lowest freqs (>6m) ####
-# nvoice   <- 4
-# # noctave4 = 2^12 = 4096 half hours ~ 90 days
-# noctave4 <- adjust.noctave(N = N, 
-#                            dt = 1, s0 = 2,
-#                            tw = 0, noctave = 12)
-# # 4 here represent 2^5 = 32 half-hours ~ 1 day
-# scalevector4  <- 2^(4:(noctave4 * nvoice) / nvoice) * 2
-# lscvect4      <- length(scalevector4)
-# lscvect <- lscvect4  # i should clean my code: werFam demands a lscvect
-# Xcwt4   <- toCWT(conso, noctave = noctave4, dt = 1,
-#                 scalevector = scalevector4,
-#                 lt = N, smooth = FALSE, 
-#                 nvoice = nvoice)      # observations node with CWT
-# 
-# 
-# Xcwt2 <- matrix(NA_complex_, nrow = n, ncol= 2 + length((c(Xcwt4[,,1]))))
-# 
-# for(i in 1:n) 
-#  Xcwt2[i,] <- c(N, lscvect, Xcwt4[,,i] / max(Mod(Xcwt4[,,i])) ) 
-# 
-# rm(conso, Xcwt4); gc()
-# 
-# # _.b WER^2 distances  ########
-# Xwer_dist    <- matrix(0.0, n, n)
-# for(i in 1:(n - 1)){
-#  mat1   <- vect2mat(Xcwt2[i,])
-#  for(j in (i + 1):n){
-#     mat2 <- vect2mat(Xcwt2[j,])
-#     num     <- Mod(mat1 * Conj(mat2))
-#     WX      <- Mod(mat1 * Conj(mat1))
-#     WY      <- Mod(mat2 * Conj(mat2))
-#     smsmnum <- smCWT(num, scalevector = scalevector4)
-#     smsmWX  <- smCWT(WX,  scalevector = scalevector4)
-#     smsmWY  <- smCWT(WY,  scalevector = scalevector4)
-#     wer2    <- sum(colSums(smsmnum)^2)  /
-#       sum( sum(colSums(smsmWX) * colSums(smsmWY)) )
-#     Xwer_dist[i, j] <- sqrt(N * lscvect * (1 - wer2))
-#     Xwer_dist[j, i] <- Xwer_dist[i, j]
-#   }
-# }
-# diag(Xwer_dist) <- numeric(n)
-# 
-# save(Xwer_dist, file = "~/werdist-irlanda.Rdata")
-
-load("~/werdist-irlanda.Rdata")
-hc <- hclust(as.dist(Xwer_dist))
-
-plot(hc)
-
-
-Ks <- c(2:10, 15, 20, 25, 30)
-for(k in seq_along(Ks)){ 
-  K      <- Ks[k]
-  pamfit <- pam(as.dist(Xwer_dist), k = K, diss = TRUE)
-  
-  fname <- paste0("clustfactor", K)
-  write.table(pamfit$clustering, 
-              file = paste0("~/tmp/clustfactorSME-", K, ".txt")) 
-}
-
-
-#dir(path = '~/tmp/', pattern = 'clustfac-
-K <- 2
-fname <- paste0("~/tmp/clustfactorSME-", K, ".txt")
-clustfactor <- read.table(fname)$x # pamfit$clustering
- for(k in 1:K){ 
-   clustk <- which(clustfactor == k)
- if(length(clustk) > 0) {
-   if(length(clustk) > 1) {
-     SCk <- colSums(SME[, which(clustfactor == k)])
-     } else {
-       SCk <- synchros09[which(clustfactor == k), ]
-     }
-     SC[k, ] <- SC[k, ] + SCk
-     rm(SCk)
- }
- }
-
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/aux.r b/old_C_code/stage2_UNFINISHED/src/unused/aux.r
deleted file mode 100644 (file)
index 15021c0..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/aux.r
+++ /dev/null
@@ -1,127 +0,0 @@
-####################################################################
-##
-## File:        aux.r
-##
-## Description: Miscelaneous functions for clustering with kcca
-##
-## Modified:    june 2010
-##
-####################################################################
-
-
-  #######################################################
-
-  # Transforms a matrix of data (one observation by row)
-  #     into an array where position[ , , i] gives
-  #     the smoothed modulus of the i-th cwt observation 
-
-  ########################################################
-
-
-##NOTE: renvoie une matrice 3D
-  toCWT  <- function(X, sw=  0,  tw=  0, swabs= 0,
-                       nvoice= 12, noctave= 5, 
-                       s0= 2, w0= 2*pi, lt= 24, dt= 0.5,
-                       spectra = FALSE, smooth = TRUE,
-                       scaled  = FALSE,
-                     scalevector)
-     { noctave  <- adjust.noctave(lt, dt, s0, tw, noctave)
-       if(missing(scalevector)) 
-          scalevector  <- 2^(0:(noctave * nvoice) / nvoice) * s0
-       res <- lapply(1:nrow(X), function(n)
-           { tsX         <- ts( X[n,] )
-             tsCent      <- tsX - mean(tsX)
-             if(scaled)  tsCent <- ts(scale(tsCent))           
-             tsCent.cwt  <- cwt.ts(tsCent, s0, noctave, nvoice, w0)
-             tsCent.cwt
-           } )
-          if( spectra ) res <- lapply(res, function(l) Mod(l)^2 )
-          if( smooth  ) res <- lapply(res, smCWT, swabs = swabs,
-                                      tw = tw, dt = dt, 
-                                      scalevector = scalevector)
-       resArray <- array(NA, c(nrow(res[[1]]), ncol(res[[1]]),
-                               length(res)))
-       for( l in 1:length(res) ) resArray[ , , l] <- res[[l]]
-       resArray
-     }
-
-
-  # ===============================================================
-
-  smCWT <- function(CWT, sw=  0,  tw=  0, swabs= 0,
-                       nvoice= 12, noctave= 2, s0= 2, w0= 2*pi, 
-                                          lt= 24, dt= 0.5, scalevector )
-                {
-#         noctave  <- adjust.noctave(lt, dt, s0, tw, noctave)
-#         scalevector  <- 2^(0:(noctave * nvoice) / nvoice) * s0
-         wsp     <- Mod(CWT)  
-         smwsp   <- smooth.matrix(wsp, swabs)
-         smsmwsp <- smooth.time(smwsp, tw, dt, scalevector)
-         smsmwsp
-       }
-
-
-  # ===============================================================
-
-  toDWT <- function(x, filter.number = 6, family = "DaubLeAsymm")
-{ x2   <- spline(x, n = 2^ceiling( log(length(x), 2) ),
-            method = 'natural')$y
-  Dx2 <- wd(x2, family = family, filter.number = filter.number)$D
-               Dx2
-}
-
-  # ===============================================================
-
-  contrib <- function(x) 
-      { J   <- log( length(x)+1, 2)
-        nrj <- numeric(J)
-        t0  <- 1
-        t1  <- 0
-        for( j in 1:J ) {
-          t1     <- t1 + 2^(J-j)
-          nrj[j] <- sqrt( sum( x[t0:t1]^2 ) )
-          t0     <- t1 + 1
-        }
-        return(nrj)  
-         }
-
-
-    # ========================================= distance for coh ===
-
-  coherence <- function( x, y)
-       { J <- log(length(x) + 1, 2)
-            t0 <- 1
-                sg2_x <- 0
-                sg2_y <- 0
-                sg_xy <- 0
-            for(j in 0:(J - 1))
-                {  t1 <- t0 + 2^(J - j)/2  - 1
-                   tt <- t0:t1
-                   sg2_x <- sg2_x + mean(x[t0:t1]^2)
-                       sg2_y <- sg2_y + mean(y[t0:t1]^2)
-                       sg_xy <- sg_xy + mean(x[t0:t1] * y[t0:t1])
-            t0 <- t1 + 1
-                }
-               res <- sg_xy^2 / sg2_x / sg2_y
-               res
-          }
-
-
-  vect2mat <- function(vect){
-                 vect <- as.vector(vect)
-                 matrix(vect[-(1:2)], delta, lscvect)
-               }
-
-
-  # =========================================  # myimg for graphics 
-  jet.colors <- colorRampPalette(c("#00007F", "blue", "#007FFF", 
-                                "cyan", "#7FFF7F", "yellow", 
-                                "#FF7F00", "red", "#7F0000"))
-
-  myimg <- function(MAT, x = 1:nrow(MAT), y = 1:col(MAT), ... )
-              filled.contour(  x = x, y = y, z = MAT, 
-                              xlab= 'Time', ylab= 'scale',
-                              color.palette = jet.colors,
-                              ... )
-
-

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/aux2.r b/old_C_code/stage2_UNFINISHED/src/unused/aux2.r
deleted file mode 100644 (file)
index d7bdb79..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/aux2.r
+++ /dev/null
@@ -1,25 +0,0 @@
-# File: aux2.r
-
-dayimpact <- function(vec) {
-  num <- tapply(vec, rep(1:365, each = 48), mean, na.rm = TRUE) 
-  den <- tapply(vec, rep(1:365, each = 48), max, na.rm = TRUE) 
-  return(num / den)
-}
-
-nightimpact <- function(vec) { 
-  idnuits <- logical(48)
-  idnuits[c(1:14, 47:48)] <- TRUE
-  nuits <-  vec[rep(idnuits, 365)] 
-  num <- tapply(nuits, rep(1:365, each = sum(idnuits)), mean, na.rm = TRUE)
-  den <- tapply(vec, rep(1:365, each = 48), mean, na.rm = TRUE) 
-  return(num / den / 3)
-}
-
-lunchimpact <- function(vec) { 
-  idlunchs <- logical(48)
-  idlunchs[25:30] <- TRUE
-  lunchs <- vec[rep(idlunchs, 365)]
-  num <- tapply(lunchs, rep(1:365, each = sum(idlunchs)), mean, na.rm = TRUE)
-  den <- tapply(vec, rep(1:365, each = 48), mean, na.rm = TRUE) 
-  return(num / den / 8)
-}

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/calendar_ir.txt b/old_C_code/stage2_UNFINISHED/src/unused/calendar_ir.txt
deleted file mode 100644 (file)
index ed312aa..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/calendar_ir.txt
+++ /dev/null
@@ -1,533 +0,0 @@
-       dow     daytype gr
-2011-01-01     Sat     Hol     Hol_Sun
-2011-01-02     Sun     Sun     Sun_Mon
-2011-01-03     Mon     Mon     Mon_Tue
-2011-01-04     Tue     Tue     Tue_Wed
-2011-01-05     Wed     Wed     Wed_Thu
-2011-01-06     Thu     Thu     Thu_Fri
-2011-01-07     Fri     Fri     Fri_Sat
-2011-01-08     Sat     Sat     Sat_Sun
-2011-01-09     Sun     Sun     Sun_Mon
-2011-01-10     Mon     Mon     Mon_Tue
-2011-01-11     Tue     Tue     Tue_Wed
-2011-01-12     Wed     Wed     Wed_Thu
-2011-01-13     Thu     Thu     Thu_Fri
-2011-01-14     Fri     Fri     Fri_Sat
-2011-01-15     Sat     Sat     Sat_Sun
-2011-01-16     Sun     Sun     Sun_Mon
-2011-01-17     Mon     Mon     Mon_Tue
-2011-01-18     Tue     Tue     Tue_Wed
-2011-01-19     Wed     Wed     Wed_Thu
-2011-01-20     Thu     Thu     Thu_Fri
-2011-01-21     Fri     Fri     Fri_Sat
-2011-01-22     Sat     Sat     Sat_Sun
-2011-01-23     Sun     Sun     Sun_Mon
-2011-01-24     Mon     Mon     Mon_Tue
-2011-01-25     Tue     Tue     Tue_Wed
-2011-01-26     Wed     Wed     Wed_Thu
-2011-01-27     Thu     Thu     Thu_Fri
-2011-01-28     Fri     Fri     Fri_Sat
-2011-01-29     Sat     Sat     Sat_Sun
-2011-01-30     Sun     Sun     Sun_Mon
-2011-01-31     Mon     Mon     Mon_Tue
-2011-02-01     Tue     Tue     Tue_Wed
-2011-02-02     Wed     Wed     Wed_Thu
-2011-02-03     Thu     Thu     Thu_Fri
-2011-02-04     Fri     Fri     Fri_Sat
-2011-02-05     Sat     Sat     Sat_Sun
-2011-02-06     Sun     Sun     Sun_Mon
-2011-02-07     Mon     Mon     Mon_Tue
-2011-02-08     Tue     Tue     Tue_Wed
-2011-02-09     Wed     Wed     Wed_Thu
-2011-02-10     Thu     Thu     Thu_Fri
-2011-02-11     Fri     Fri     Fri_Sat
-2011-02-12     Sat     Sat     Sat_Sun
-2011-02-13     Sun     Sun     Sun_Mon
-2011-02-14     Mon     Mon     Mon_Tue
-2011-02-15     Tue     Tue     Tue_Wed
-2011-02-16     Wed     Wed     Wed_Thu
-2011-02-17     Thu     Thu     Thu_Fri
-2011-02-18     Fri     Fri     Fri_Sat
-2011-02-19     Sat     Sat     Sat_Sun
-2011-02-20     Sun     Sun     Sun_Mon
-2011-02-21     Mon     Mon     Mon_Tue
-2011-02-22     Tue     Tue     Tue_Wed
-2011-02-23     Wed     Wed     Wed_Thu
-2011-02-24     Thu     Thu     Thu_Fri
-2011-02-25     Fri     Fri     Fri_Sat
-2011-02-26     Sat     Sat     Sat_Sun
-2011-02-27     Sun     Sun     Sun_Mon
-2011-02-28     Mon     Mon     Mon_Tue
-2011-03-01     Tue     Tue     Tue_Wed
-2011-03-02     Wed     Wed     Wed_Thu
-2011-03-03     Thu     Thu     Thu_Fri
-2011-03-04     Fri     Fri     Fri_Sat
-2011-03-05     Sat     Sat     Sat_Sun
-2011-03-06     Sun     Sun     Sun_Mon
-2011-03-07     Mon     Mon     Mon_Tue
-2011-03-08     Tue     Tue     Tue_Wed
-2011-03-09     Wed     Wed     Wed_Thu
-2011-03-10     Thu     Thu     Thu_Fri
-2011-03-11     Fri     Fri     Fri_Sat
-2011-03-12     Sat     Sat     Sat_Sun
-2011-03-13     Sun     Sun     Sun_Mon
-2011-03-14     Mon     Mon     Mon_Tue
-2011-03-15     Tue     Tue     Tue_Wed
-2011-03-16     Wed     Wed     Wed_Thu
-2011-03-17     Thu     Hol     Hol_Fri
-2011-03-18     Fri     Fri     Fri_Sat
-2011-03-19     Sat     Sat     Sat_Sun
-2011-03-20     Sun     Sun     Sun_Mon
-2011-03-21     Mon     Mon     Mon_Tue
-2011-03-22     Tue     Tue     Tue_Wed
-2011-03-23     Wed     Wed     Wed_Thu
-2011-03-24     Thu     Thu     Thu_Fri
-2011-03-25     Fri     Fri     Fri_Sat
-2011-03-26     Sat     Sat     Sat_Sun
-2011-03-27     Sun     Sun     Sun_Mon
-2011-03-28     Mon     Mon     Mon_Tue
-2011-03-29     Tue     Tue     Tue_Wed
-2011-03-30     Wed     Wed     Wed_Thu
-2011-03-31     Thu     Thu     Thu_Fri
-2011-04-01     Fri     Fri     Fri_Sat
-2011-04-02     Sat     Sat     Sat_Sun
-2011-04-03     Sun     Sun     Sun_Mon
-2011-04-04     Mon     Mon     Mon_Tue
-2011-04-05     Tue     Tue     Tue_Wed
-2011-04-06     Wed     Wed     Wed_Thu
-2011-04-07     Thu     Thu     Thu_Fri
-2011-04-08     Fri     Fri     Fri_Sat
-2011-04-09     Sat     Sat     Sat_Sun
-2011-04-10     Sun     Sun     Sun_Mon
-2011-04-11     Mon     Mon     Mon_Tue
-2011-04-12     Tue     Tue     Tue_Wed
-2011-04-13     Wed     Wed     Wed_Thu
-2011-04-14     Thu     Thu     Thu_Fri
-2011-04-15     Fri     Fri     Fri_Sat
-2011-04-16     Sat     Sat     Sat_Sun
-2011-04-17     Sun     Sun     Sun_Mon
-2011-04-18     Mon     Mon     Mon_Tue
-2011-04-19     Tue     Tue     Tue_Wed
-2011-04-20     Wed     Wed     Wed_Thu
-2011-04-21     Thu     Thu     Thu_Fri
-2011-04-22     Fri     Fri     Fri_Sat
-2011-04-23     Sat     Sat     Sat_Sun
-2011-04-24     Sun     Sun     Sun_Hol
-2011-04-25     Mon     Hol     Hol_Tue
-2011-04-26     Tue     Tue     Tue_Wed
-2011-04-27     Wed     Wed     Wed_Thu
-2011-04-28     Thu     Thu     Thu_Fri
-2011-04-29     Fri     Fri     Fri_Sat
-2011-04-30     Sat     Sat     Sat_Sun
-2011-05-01     Sun     Sun     Sun_Hol
-2011-05-02     Mon     Hol     Hol_Tue
-2011-05-03     Tue     Tue     Tue_Wed
-2011-05-04     Wed     Wed     Wed_Thu
-2011-05-05     Thu     Thu     Thu_Fri
-2011-05-06     Fri     Fri     Fri_Sat
-2011-05-07     Sat     Sat     Sat_Sun
-2011-05-08     Sun     Sun     Sun_Mon
-2011-05-09     Mon     Mon     Mon_Tue
-2011-05-10     Tue     Tue     Tue_Wed
-2011-05-11     Wed     Wed     Wed_Thu
-2011-05-12     Thu     Thu     Thu_Fri
-2011-05-13     Fri     Fri     Fri_Sat
-2011-05-14     Sat     Sat     Sat_Sun
-2011-05-15     Sun     Sun     Sun_Mon
-2011-05-16     Mon     Mon     Mon_Tue
-2011-05-17     Tue     Tue     Tue_Wed
-2011-05-18     Wed     Wed     Wed_Thu
-2011-05-19     Thu     Thu     Thu_Fri
-2011-05-20     Fri     Fri     Fri_Sat
-2011-05-21     Sat     Sat     Sat_Sun
-2011-05-22     Sun     Sun     Sun_Mon
-2011-05-23     Mon     Mon     Mon_Tue
-2011-05-24     Tue     Tue     Tue_Wed
-2011-05-25     Wed     Wed     Wed_Thu
-2011-05-26     Thu     Thu     Thu_Fri
-2011-05-27     Fri     Fri     Fri_Sat
-2011-05-28     Sat     Sat     Sat_Sun
-2011-05-29     Sun     Sun     Sun_Mon
-2011-05-30     Mon     Mon     Mon_Tue
-2011-05-31     Tue     Tue     Tue_Wed
-2011-06-01     Wed     Wed     Wed_Thu
-2011-06-02     Thu     Thu     Thu_Fri
-2011-06-03     Fri     Fri     Fri_Sat
-2011-06-04     Sat     Sat     Sat_Sun
-2011-06-05     Sun     Sun     Sun_Mon
-2011-06-06     Mon     Hol     Hol_Tue
-2011-06-07     Tue     Tue     Tue_Wed
-2011-06-08     Wed     Wed     Wed_Thu
-2011-06-09     Thu     Thu     Thu_Fri
-2011-06-10     Fri     Fri     Fri_Sat
-2011-06-11     Sat     Sat     Sat_Sun
-2011-06-12     Sun     Sun     Sun_Mon
-2011-06-13     Mon     Mon     Mon_Tue
-2011-06-14     Tue     Tue     Tue_Wed
-2011-06-15     Wed     Wed     Wed_Thu
-2011-06-16     Thu     Thu     Thu_Fri
-2011-06-17     Fri     Fri     Fri_Sat
-2011-06-18     Sat     Sat     Sat_Sun
-2011-06-19     Sun     Sun     Sun_Mon
-2011-06-20     Mon     Mon     Mon_Tue
-2011-06-21     Tue     Tue     Tue_Wed
-2011-06-22     Wed     Wed     Wed_Thu
-2011-06-23     Thu     Thu     Thu_Fri
-2011-06-24     Fri     Fri     Fri_Sat
-2011-06-25     Sat     Sat     Sat_Sun
-2011-06-26     Sun     Sun     Sun_Mon
-2011-06-27     Mon     Mon     Mon_Tue
-2011-06-28     Tue     Tue     Tue_Wed
-2011-06-29     Wed     Wed     Wed_Thu
-2011-06-30     Thu     Thu     Thu_Fri
-2011-07-01     Fri     Fri     Fri_Sat
-2011-07-02     Sat     Sat     Sat_Sun
-2011-07-03     Sun     Sun     Sun_Mon
-2011-07-04     Mon     Mon     Mon_Tue
-2011-07-05     Tue     Tue     Tue_Wed
-2011-07-06     Wed     Wed     Wed_Thu
-2011-07-07     Thu     Thu     Thu_Fri
-2011-07-08     Fri     Fri     Fri_Sat
-2011-07-09     Sat     Sat     Sat_Sun
-2011-07-10     Sun     Sun     Sun_Mon
-2011-07-11     Mon     Mon     Mon_Tue
-2011-07-12     Tue     Tue     Tue_Wed
-2011-07-13     Wed     Wed     Wed_Thu
-2011-07-14     Thu     Thu     Thu_Fri
-2011-07-15     Fri     Fri     Fri_Sat
-2011-07-16     Sat     Sat     Sat_Sun
-2011-07-17     Sun     Sun     Sun_Mon
-2011-07-18     Mon     Mon     Mon_Tue
-2011-07-19     Tue     Tue     Tue_Wed
-2011-07-20     Wed     Wed     Wed_Thu
-2011-07-21     Thu     Thu     Thu_Fri
-2011-07-22     Fri     Fri     Fri_Sat
-2011-07-23     Sat     Sat     Sat_Sun
-2011-07-24     Sun     Sun     Sun_Mon
-2011-07-25     Mon     Mon     Mon_Tue
-2011-07-26     Tue     Tue     Tue_Wed
-2011-07-27     Wed     Wed     Wed_Thu
-2011-07-28     Thu     Thu     Thu_Fri
-2011-07-29     Fri     Fri     Fri_Sat
-2011-07-30     Sat     Sat     Sat_Sun
-2011-07-31     Sun     Sun     Sun_Mon
-2011-08-01     Mon     Hol     Hol_Tue
-2011-08-02     Tue     Tue     Tue_Wed
-2011-08-03     Wed     Wed     Wed_Thu
-2011-08-04     Thu     Thu     Thu_Fri
-2011-08-05     Fri     Fri     Fri_Sat
-2011-08-06     Sat     Sat     Sat_Sun
-2011-08-07     Sun     Sun     Sun_Mon
-2011-08-08     Mon     Mon     Mon_Tue
-2011-08-09     Tue     Tue     Tue_Wed
-2011-08-10     Wed     Wed     Wed_Thu
-2011-08-11     Thu     Thu     Thu_Fri
-2011-08-12     Fri     Fri     Fri_Sat
-2011-08-13     Sat     Sat     Sat_Sun
-2011-08-14     Sun     Sun     Sun_Mon
-2011-08-15     Mon     Mon     Mon_Tue
-2011-08-16     Tue     Tue     Tue_Wed
-2011-08-17     Wed     Wed     Wed_Thu
-2011-08-18     Thu     Thu     Thu_Fri
-2011-08-19     Fri     Fri     Fri_Sat
-2011-08-20     Sat     Sat     Sat_Sun
-2011-08-21     Sun     Sun     Sun_Mon
-2011-08-22     Mon     Mon     Mon_Tue
-2011-08-23     Tue     Tue     Tue_Wed
-2011-08-24     Wed     Wed     Wed_Thu
-2011-08-25     Thu     Thu     Thu_Fri
-2011-08-26     Fri     Fri     Fri_Sat
-2011-08-27     Sat     Sat     Sat_Sun
-2011-08-28     Sun     Sun     Sun_Hol
-2011-08-29     Mon     Hol     Hol_Tue
-2011-08-30     Tue     Tue     Tue_Wed
-2011-08-31     Wed     Wed     Wed_Thu
-2011-09-01     Thu     Thu     Thu_Fri
-2011-09-02     Fri     Fri     Fri_Sat
-2011-09-03     Sat     Sat     Sat_Sun
-2011-09-04     Sun     Sun     Sun_Mon
-2011-09-05     Mon     Mon     Mon_Tue
-2011-09-06     Tue     Tue     Tue_Wed
-2011-09-07     Wed     Wed     Wed_Thu
-2011-09-08     Thu     Thu     Thu_Fri
-2011-09-09     Fri     Fri     Fri_Sat
-2011-09-10     Sat     Sat     Sat_Sun
-2011-09-11     Sun     Sun     Sun_Mon
-2011-09-12     Mon     Mon     Mon_Tue
-2011-09-13     Tue     Tue     Tue_Wed
-2011-09-14     Wed     Wed     Wed_Thu
-2011-09-15     Thu     Thu     Thu_Fri
-2011-09-16     Fri     Fri     Fri_Sat
-2011-09-17     Sat     Sat     Sat_Sun
-2011-09-18     Sun     Sun     Sun_Mon
-2011-09-19     Mon     Mon     Mon_Tue
-2011-09-20     Tue     Tue     Tue_Wed
-2011-09-21     Wed     Wed     Wed_Thu
-2011-09-22     Thu     Thu     Thu_Fri
-2011-09-23     Fri     Fri     Fri_Sat
-2011-09-24     Sat     Sat     Sat_Sun
-2011-09-25     Sun     Sun     Sun_Mon
-2011-09-26     Mon     Mon     Mon_Tue
-2011-09-27     Tue     Tue     Tue_Wed
-2011-09-28     Wed     Wed     Wed_Thu
-2011-09-29     Thu     Thu     Thu_Fri
-2011-09-30     Fri     Fri     Fri_Sat
-2011-10-01     Sat     Sat     Sat_Sun
-2011-10-02     Sun     Sun     Sun_Mon
-2011-10-03     Mon     Mon     Mon_Tue
-2011-10-04     Tue     Tue     Tue_Wed
-2011-10-05     Wed     Wed     Wed_Thu
-2011-10-06     Thu     Thu     Thu_Fri
-2011-10-07     Fri     Fri     Fri_Sat
-2011-10-08     Sat     Sat     Sat_Sun
-2011-10-09     Sun     Sun     Sun_Mon
-2011-10-10     Mon     Mon     Mon_Tue
-2011-10-11     Tue     Tue     Tue_Wed
-2011-10-12     Wed     Wed     Wed_Thu
-2011-10-13     Thu     Thu     Thu_Fri
-2011-10-14     Fri     Fri     Fri_Sat
-2011-10-15     Sat     Sat     Sat_Sun
-2011-10-16     Sun     Sun     Sun_Mon
-2011-10-17     Mon     Mon     Mon_Tue
-2011-10-18     Tue     Tue     Tue_Wed
-2011-10-19     Wed     Wed     Wed_Thu
-2011-10-20     Thu     Thu     Thu_Fri
-2011-10-21     Fri     Fri     Fri_Sat
-2011-10-22     Sat     Sat     Sat_Sun
-2011-10-23     Sun     Sun     Sun_Mon
-2011-10-24     Mon     Mon     Mon_Tue
-2011-10-25     Tue     Tue     Tue_Wed
-2011-10-26     Wed     Wed     Wed_Thu
-2011-10-27     Thu     Thu     Thu_Fri
-2011-10-28     Fri     Fri     Fri_Sat
-2011-10-29     Sat     Sat     Sat_Sun
-2011-10-30     Sun     Sun     Sun_Mon
-2011-10-31     Mon     Hol     Hol_Tue
-2011-11-01     Tue     Tue     Tue_Wed
-2011-11-02     Wed     Wed     Wed_Thu
-2011-11-03     Thu     Thu     Thu_Fri
-2011-11-04     Fri     Fri     Fri_Sat
-2011-11-05     Sat     Sat     Sat_Sun
-2011-11-06     Sun     Sun     Sun_Mon
-2011-11-07     Mon     Mon     Mon_Tue
-2011-11-08     Tue     Tue     Tue_Wed
-2011-11-09     Wed     Wed     Wed_Thu
-2011-11-10     Thu     Thu     Thu_Fri
-2011-11-11     Fri     Fri     Fri_Sat
-2011-11-12     Sat     Sat     Sat_Sun
-2011-11-13     Sun     Sun     Sun_Mon
-2011-11-14     Mon     Mon     Mon_Tue
-2011-11-15     Tue     Tue     Tue_Wed
-2011-11-16     Wed     Wed     Wed_Thu
-2011-11-17     Thu     Thu     Thu_Fri
-2011-11-18     Fri     Fri     Fri_Sat
-2011-11-19     Sat     Sat     Sat_Sun
-2011-11-20     Sun     Sun     Sun_Mon
-2011-11-21     Mon     Mon     Mon_Tue
-2011-11-22     Tue     Tue     Tue_Wed
-2011-11-23     Wed     Wed     Wed_Thu
-2011-11-24     Thu     Thu     Thu_Fri
-2011-11-25     Fri     Fri     Fri_Sat
-2011-11-26     Sat     Sat     Sat_Sun
-2011-11-27     Sun     Sun     Sun_Mon
-2011-11-28     Mon     Mon     Mon_Tue
-2011-11-29     Tue     Tue     Tue_Wed
-2011-11-30     Wed     Wed     Wed_Thu
-2011-12-01     Thu     Thu     Thu_Fri
-2011-12-02     Fri     Fri     Fri_Sat
-2011-12-03     Sat     Sat     Sat_Sun
-2011-12-04     Sun     Sun     Sun_Mon
-2011-12-05     Mon     Mon     Mon_Tue
-2011-12-06     Tue     Tue     Tue_Wed
-2011-12-07     Wed     Wed     Wed_Thu
-2011-12-08     Thu     Thu     Thu_Fri
-2011-12-09     Fri     Fri     Fri_Sat
-2011-12-10     Sat     Sat     Sat_Sun
-2011-12-11     Sun     Sun     Sun_Mon
-2011-12-12     Mon     Mon     Mon_Tue
-2011-12-13     Tue     Tue     Tue_Wed
-2011-12-14     Wed     Wed     Wed_Thu
-2011-12-15     Thu     Thu     Thu_Fri
-2011-12-16     Fri     Fri     Fri_Sat
-2011-12-17     Sat     Sat     Sat_Sun
-2011-12-18     Sun     Sun     Sun_Mon
-2011-12-19     Mon     Mon     Mon_Tue
-2011-12-20     Tue     Tue     Tue_Wed
-2011-12-21     Wed     Wed     Wed_Thu
-2011-12-22     Thu     Thu     Thu_Fri
-2011-12-23     Fri     Fri     Fri_Sat
-2011-12-24     Sat     Sat     Sat_Hol
-2011-12-25     Sun     Hol     Hol_Dim
-2011-12-26     Mon     Hol     Hol_Tue
-2011-12-27     Tue     Tue     Tue_Wed
-2011-12-28     Wed     Wed     Wed_Thu
-2011-12-29     Thu     Thu     Thu_Fri
-2011-12-30     Fri     Fri     Fri_Sat
-2011-12-31     Sat     Sat     Sat_Hol
-2012-01-01     Sun     Hol     Hol_Mon
-2012-01-02     Mon     Mon     Mon_Tue
-2012-01-03     Tue     Tue     Tue_Wed
-2012-01-04     Wed     Wed     Wed_Thu
-2012-01-05     Thu     Thu     Thu_Fri
-2012-01-06     Fri     Fri     Fri_Sat
-2012-01-07     Sat     Sat     Sat_Sun
-2012-01-08     Sun     Sun     Sun_Mon
-2012-01-09     Mon     Mon     Mon_Tue
-2012-01-10     Tue     Tue     Tue_Wed
-2012-01-11     Wed     Wed     Wed_Thu
-2012-01-12     Thu     Thu     Thu_Fri
-2012-01-13     Fri     Fri     Fri_Sat
-2012-01-14     Sat     Sat     Sat_Sun
-2012-01-15     Sun     Sun     Sun_Mon
-2012-01-16     Mon     Mon     Mon_Tue
-2012-01-17     Tue     Tue     Tue_Wed
-2012-01-18     Wed     Wed     Wed_Thu
-2012-01-19     Thu     Thu     Thu_Fri
-2012-01-20     Fri     Fri     Fri_Sat
-2012-01-21     Sat     Sat     Sat_Sun
-2012-01-22     Sun     Sun     Sun_Mon
-2012-01-23     Mon     Mon     Mon_Tue
-2012-01-24     Tue     Tue     Tue_Wed
-2012-01-25     Wed     Wed     Wed_Thu
-2012-01-26     Thu     Thu     Thu_Fri
-2012-01-27     Fri     Fri     Fri_Sat
-2012-01-28     Sat     Sat     Sat_Sun
-2012-01-29     Sun     Sun     Sun_Mon
-2012-01-30     Mon     Mon     Mon_Tue
-2012-01-31     Tue     Tue     Tue_Wed
-2012-02-01     Wed     Wed     Wed_Thu
-2012-02-02     Thu     Thu     Thu_Fri
-2012-02-03     Fri     Fri     Fri_Sat
-2012-02-04     Sat     Sat     Sat_Sun
-2012-02-05     Sun     Sun     Sun_Mon
-2012-02-06     Mon     Mon     Mon_Tue
-2012-02-07     Tue     Tue     Tue_Wed
-2012-02-08     Wed     Wed     Wed_Thu
-2012-02-09     Thu     Thu     Thu_Fri
-2012-02-10     Fri     Fri     Fri_Sat
-2012-02-11     Sat     Sat     Sat_Sun
-2012-02-12     Sun     Sun     Sun_Mon
-2012-02-13     Mon     Mon     Mon_Tue
-2012-02-14     Tue     Tue     Tue_Wed
-2012-02-15     Wed     Wed     Wed_Thu
-2012-02-16     Thu     Thu     Thu_Fri
-2012-02-17     Fri     Fri     Fri_Sat
-2012-02-18     Sat     Sat     Sat_Sun
-2012-02-19     Sun     Sun     Sun_Mon
-2012-02-20     Mon     Mon     Mon_Tue
-2012-02-21     Tue     Tue     Tue_Wed
-2012-02-22     Wed     Wed     Wed_Thu
-2012-02-23     Thu     Thu     Thu_Fri
-2012-02-24     Fri     Fri     Fri_Sat
-2012-02-25     Sat     Sat     Sat_Sun
-2012-02-26     Sun     Sun     Sun_Mon
-2012-02-27     Mon     Mon     Mon_Tue
-2012-02-28     Tue     Tue     Tue_Wed
-2012-02-29     Wed     Wed     Wed_Thu
-2012-03-01     Thu     Thu     Thu_Fri
-2012-03-02     Fri     Fri     Fri_Sat
-2012-03-03     Sat     Sat     Sat_Sun
-2012-03-04     Sun     Sun     Sun_Mon
-2012-03-05     Mon     Mon     Mon_Tue
-2012-03-06     Tue     Tue     Tue_Wed
-2012-03-07     Wed     Wed     Wed_Thu
-2012-03-08     Thu     Thu     Thu_Fri
-2012-03-09     Fri     Fri     Fri_Sat
-2012-03-10     Sat     Sat     Sat_Sun
-2012-03-11     Sun     Sun     Sun_Mon
-2012-03-12     Mon     Mon     Mon_Tue
-2012-03-13     Tue     Tue     Tue_Wed
-2012-03-14     Wed     Wed     Wed_Thu
-2012-03-15     Thu     Thu     Thu_Fri
-2012-03-16     Fri     Fri     Fri_Sat
-2012-03-17     Sat     Hol     Hol_Sun
-2012-03-18     Sun     Sun     Sun_Mon
-2012-03-19     Mon     Mon     Mon_Tue
-2012-03-20     Tue     Tue     Tue_Wed
-2012-03-21     Wed     Wed     Wed_Thu
-2012-03-22     Thu     Thu     Thu_Fri
-2012-03-23     Fri     Fri     Fri_Sat
-2012-03-24     Sat     Sat     Sat_Sun
-2012-03-25     Sun     Sun     Sun_Mon
-2012-03-26     Mon     Mon     Mon_Tue
-2012-03-27     Tue     Tue     Tue_Wed
-2012-03-28     Wed     Wed     Wed_Thu
-2012-03-29     Thu     Thu     Thu_Fri
-2012-03-30     Fri     Fri     Fri_Sat
-2012-03-31     Sat     Sat     Sat_Sun
-2012-04-01     Sun     Sun     Sun_Mon
-2012-04-02     Mon     Mon     Mon_Tue
-2012-04-03     Tue     Tue     Tue_Wed
-2012-04-04     Wed     Wed     Wed_Thu
-2012-04-05     Thu     Thu     Thu_Fri
-2012-04-06     Fri     Fri     Fri_Sat
-2012-04-07     Sat     Sat     Sat_Sun
-2012-04-08     Sun     Sun     Sun_Hol
-2012-04-09     Mon     Hol     Hol_Tue
-2012-04-10     Tue     Tue     Tue_Wed
-2012-04-11     Wed     Wed     Wed_Thu
-2012-04-12     Thu     Thu     Thu_Fri
-2012-04-13     Fri     Fri     Fri_Sat
-2012-04-14     Sat     Sat     Sat_Sun
-2012-04-15     Sun     Sun     Sun_Mon
-2012-04-16     Mon     Mon     Mon_Tue
-2012-04-17     Tue     Tue     Tue_Wed
-2012-04-18     Wed     Wed     Wed_Thu
-2012-04-19     Thu     Thu     Thu_Fri
-2012-04-20     Fri     Fri     Fri_Sat
-2012-04-21     Sat     Sat     Sat_Sun
-2012-04-22     Sun     Sun     Sun_Mon
-2012-04-23     Mon     Mon     Mon_Tue
-2012-04-24     Tue     Tue     Tue_Wed
-2012-04-25     Wed     Wed     Wed_Thu
-2012-04-26     Thu     Thu     Thu_Fri
-2012-04-27     Fri     Fri     Fri_Sat
-2012-04-28     Sat     Sat     Sat_Sun
-2012-04-29     Sun     Sun     Sun_Mon
-2012-04-30     Mon     Mon     Mon_Tue
-2012-05-01     Tue     Tue     Tue_Wed
-2012-05-02     Wed     Wed     Wed_Thu
-2012-05-03     Thu     Thu     Thu_Fri
-2012-05-04     Fri     Fri     Fri_Sat
-2012-05-05     Sat     Sat     Sat_Sun
-2012-05-06     Sun     Sun     Sun_Hol
-2012-05-07     Mon     Hol     Hol_Tue
-2012-05-08     Tue     Tue     Tue_Wed
-2012-05-09     Wed     Wed     Wed_Thu
-2012-05-10     Thu     Thu     Thu_Fri
-2012-05-11     Fri     Fri     Fri_Sat
-2012-05-12     Sat     Sat     Sat_Sun
-2012-05-13     Sun     Sun     Sun_Mon
-2012-05-14     Mon     Mon     Mon_Tue
-2012-05-15     Tue     Tue     Tue_Wed
-2012-05-16     Wed     Wed     Wed_Thu
-2012-05-17     Thu     Thu     Thu_Fri
-2012-05-18     Fri     Fri     Fri_Sat
-2012-05-19     Sat     Sat     Sat_Sun
-2012-05-20     Sun     Sun     Sun_Mon
-2012-05-21     Mon     Mon     Mon_Tue
-2012-05-22     Tue     Tue     Tue_Wed
-2012-05-23     Wed     Wed     Wed_Thu
-2012-05-24     Thu     Thu     Thu_Fri
-2012-05-25     Fri     Fri     Fri_Sat
-2012-05-26     Sat     Sat     Sat_Sun
-2012-05-27     Sun     Sun     Sun_Mon
-2012-05-28     Mon     Mon     Mon_Tue
-2012-05-29     Tue     Tue     Tue_Wed
-2012-05-30     Wed     Wed     Wed_Thu
-2012-05-31     Thu     Thu     Thu_Fri
-2012-06-01     Fri     Fri     Fri_Sat
-2012-06-02     Sat     Sat     Sat_Sun
-2012-06-03     Sun     Sun     Sun_Mon
-2012-06-04     Mon     Hol     Hol_Tue
-2012-06-05     Tue     Tue     Tue_Wed
-2012-06-06     Wed     Wed     Wed_Thu
-2012-06-07     Thu     Thu     Thu_Fri
-2012-06-08     Fri     Fri     Fri_Sat
-2012-06-09     Sat     Sat     Sat_Sun
-2012-06-10     Sun     Sun     Sun_Mon
-2012-06-11     Mon     Mon     Mon_Tue
-2012-06-12     Tue     Tue     Tue_Wed
-2012-06-13     Wed     Wed     Wed_Thu
-2012-06-14     Thu     Thu     Thu_Fri
-2012-06-15     Fri     Fri     Fri_Sat

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/calendar_transition_groups-1996-2011.txt b/old_C_code/stage2_UNFINISHED/src/unused/calendar_transition_groups-1996-2011.txt
deleted file mode 100644 (file)
index 5d118ba..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/calendar_transition_groups-1996-2011.txt
+++ /dev/null
@@ -1,5845 +0,0 @@
-"dow" "daytype" "gr"
-"1996-01-01" "Mon" "Hol" "Hol_Tue"
-"1996-01-02" "Tue" "Tue" "Tue_Wed"
-"1996-01-03" "Wed" "Wed" "Wed_Thu"
-"1996-01-04" "Thu" "Thu" "Thu_Fri"
-"1996-01-05" "Fri" "Fri" "Fri_Sat"
-"1996-01-06" "Sat" "Sat" "Sat_Sun"
-"1996-01-07" "Sun" "Sun" "Sun_Mon"
-"1996-01-08" "Mon" "Mon" "Mon_Tue"
-"1996-01-09" "Tue" "Tue" "Tue_Wed"
-"1996-01-10" "Wed" "Wed" "Wed_Thu"
-"1996-01-11" "Thu" "Thu" "Thu_Fri"
-"1996-01-12" "Fri" "Fri" "Fri_Sat"
-"1996-01-13" "Sat" "Sat" "Sat_Sun"
-"1996-01-14" "Sun" "Sun" "Sun_Mon"
-"1996-01-15" "Mon" "Mon" "Mon_Tue"
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-"1996-10-29" "Tue" "Tue" "Tue_Wed"
-"1996-10-30" "Wed" "Wed" "Wed_Thu"
-"1996-10-31" "Thu" "Thu" "Thu_Hol"
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-"1996-11-21" "Thu" "Thu" "Thu_Fri"
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-"1996-12-11" "Wed" "Wed" "Wed_Thu"
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-"1996-12-23" "Mon" "Mon" "Mon_Tue"
-"1996-12-24" "Tue" "Tue" "Tue_Hol"
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-"1996-12-26" "Thu" "Thu" "Thu_Fri"
-"1996-12-27" "Fri" "Fri" "Fri_Sat"
-"1996-12-28" "Sat" "Sat" "Sat_Sun"
-"1996-12-29" "Sun" "Sun" "Sun_Mon"
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-"1996-12-31" "Tue" "Tue" "Tue_Hol"
-"1997-01-01" "Wed" "Hol" "Hol_Thu"
-"1997-01-02" "Thu" "Thu" "Thu_Fri"
-"1997-01-03" "Fri" "Fri" "Fri_Sat"
-"1997-01-04" "Sat" "Sat" "Sat_Sun"
-"1997-01-05" "Sun" "Sun" "Sun_Mon"
-"1997-01-06" "Mon" "Mon" "Mon_Tue"
-"1997-01-07" "Tue" "Tue" "Tue_Wed"
-"1997-01-08" "Wed" "Wed" "Wed_Thu"
-"1997-01-09" "Thu" "Thu" "Thu_Fri"
-"1997-01-10" "Fri" "Fri" "Fri_Sat"
-"1997-01-11" "Sat" "Sat" "Sat_Sun"
-"1997-01-12" "Sun" "Sun" "Sun_Mon"
-"1997-01-13" "Mon" "Mon" "Mon_Tue"
-"1997-01-14" "Tue" "Tue" "Tue_Wed"
-"1997-01-15" "Wed" "Wed" "Wed_Thu"
-"1997-01-16" "Thu" "Thu" "Thu_Fri"
-"1997-01-17" "Fri" "Fri" "Fri_Sat"
-"1997-01-18" "Sat" "Sat" "Sat_Sun"
-"1997-01-19" "Sun" "Sun" "Sun_Mon"
-"1997-01-20" "Mon" "Mon" "Mon_Tue"
-"1997-01-21" "Tue" "Tue" "Tue_Wed"
-"1997-01-22" "Wed" "Wed" "Wed_Thu"
-"1997-01-23" "Thu" "Thu" "Thu_Fri"
-"1997-01-24" "Fri" "Fri" "Fri_Sat"
-"1997-01-25" "Sat" "Sat" "Sat_Sun"
-"1997-01-26" "Sun" "Sun" "Sun_Mon"
-"1997-01-27" "Mon" "Mon" "Mon_Tue"
-"1997-01-28" "Tue" "Tue" "Tue_Wed"
-"1997-01-29" "Wed" "Wed" "Wed_Thu"
-"1997-01-30" "Thu" "Thu" "Thu_Fri"
-"1997-01-31" "Fri" "Fri" "Fri_Sat"
-"1997-02-01" "Sat" "Sat" "Sat_Sun"
-"1997-02-02" "Sun" "Sun" "Sun_Mon"
-"1997-02-03" "Mon" "Mon" "Mon_Tue"
-"1997-02-04" "Tue" "Tue" "Tue_Wed"
-"1997-02-05" "Wed" "Wed" "Wed_Thu"
-"1997-02-06" "Thu" "Thu" "Thu_Fri"
-"1997-02-07" "Fri" "Fri" "Fri_Sat"
-"1997-02-08" "Sat" "Sat" "Sat_Sun"
-"1997-02-09" "Sun" "Sun" "Sun_Mon"
-"1997-02-10" "Mon" "Mon" "Mon_Tue"
-"1997-02-11" "Tue" "Tue" "Tue_Wed"
-"1997-02-12" "Wed" "Wed" "Wed_Thu"
-"1997-02-13" "Thu" "Thu" "Thu_Fri"
-"1997-02-14" "Fri" "Fri" "Fri_Sat"
-"1997-02-15" "Sat" "Sat" "Sat_Sun"
-"1997-02-16" "Sun" "Sun" "Sun_Mon"
-"1997-02-17" "Mon" "Mon" "Mon_Tue"
-"1997-02-18" "Tue" "Tue" "Tue_Wed"
-"1997-02-19" "Wed" "Wed" "Wed_Thu"
-"1997-02-20" "Thu" "Thu" "Thu_Fri"
-"1997-02-21" "Fri" "Fri" "Fri_Sat"
-"1997-02-22" "Sat" "Sat" "Sat_Sun"
-"1997-02-23" "Sun" "Sun" "Sun_Mon"
-"1997-02-24" "Mon" "Mon" "Mon_Tue"
-"1997-02-25" "Tue" "Tue" "Tue_Wed"
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-"1997-09-24" "Wed" "Wed" "Wed_Thu"
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-"1997-09-26" "Fri" "Fri" "Fri_Sat"
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-"1997-10-27" "Mon" "Mon" "Mon_Tue"
-"1997-10-28" "Tue" "Tue" "Tue_Wed"
-"1997-10-29" "Wed" "Wed" "Wed_Thu"
-"1997-10-30" "Thu" "Thu" "Thu_Fri"
-"1997-10-31" "Fri" "Fri" "Fri_Hol"
-"1997-11-01" "Sat" "Hol" "Hol_Sun"
-"1997-11-02" "Sun" "Sun" "Sun_Mon"
-"1997-11-03" "Mon" "Mon" "Mon_Tue"
-"1997-11-04" "Tue" "Tue" "Tue_Wed"
-"1997-11-05" "Wed" "Wed" "Wed_Thu"
-"1997-11-06" "Thu" "Thu" "Thu_Fri"
-"1997-11-07" "Fri" "Fri" "Fri_Sat"
-"1997-11-08" "Sat" "Sat" "Sat_Sun"
-"1997-11-09" "Sun" "Sun" "Sun_Mon"
-"1997-11-10" "Mon" "Mon" "Mon_Hol"
-"1997-11-11" "Tue" "Hol" "Hol_Wed"
-"1997-11-12" "Wed" "Wed" "Wed_Thu"
-"1997-11-13" "Thu" "Thu" "Thu_Fri"
-"1997-11-14" "Fri" "Fri" "Fri_Sat"
-"1997-11-15" "Sat" "Sat" "Sat_Sun"
-"1997-11-16" "Sun" "Sun" "Sun_Mon"
-"1997-11-17" "Mon" "Mon" "Mon_Tue"
-"1997-11-18" "Tue" "Tue" "Tue_Wed"
-"1997-11-19" "Wed" "Wed" "Wed_Thu"
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-"1997-11-21" "Fri" "Fri" "Fri_Sat"
-"1997-11-22" "Sat" "Sat" "Sat_Sun"
-"1997-11-23" "Sun" "Sun" "Sun_Mon"
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-"1997-11-25" "Tue" "Tue" "Tue_Wed"
-"1997-11-26" "Wed" "Wed" "Wed_Thu"
-"1997-11-27" "Thu" "Thu" "Thu_Fri"
-"1997-11-28" "Fri" "Fri" "Fri_Sat"
-"1997-11-29" "Sat" "Sat" "Sat_Sun"
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-"1997-12-02" "Tue" "Tue" "Tue_Wed"
-"1997-12-03" "Wed" "Wed" "Wed_Thu"
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-"1997-12-07" "Sun" "Sun" "Sun_Mon"
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-"1997-12-09" "Tue" "Tue" "Tue_Wed"
-"1997-12-10" "Wed" "Wed" "Wed_Thu"
-"1997-12-11" "Thu" "Thu" "Thu_Fri"
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-"1997-12-13" "Sat" "Sat" "Sat_Sun"
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-"1997-12-15" "Mon" "Mon" "Mon_Tue"
-"1997-12-16" "Tue" "Tue" "Tue_Wed"
-"1997-12-17" "Wed" "Wed" "Wed_Thu"
-"1997-12-18" "Thu" "Thu" "Thu_Fri"
-"1997-12-19" "Fri" "Fri" "Fri_Sat"
-"1997-12-20" "Sat" "Sat" "Sat_Sun"
-"1997-12-21" "Sun" "Sun" "Sun_Mon"
-"1997-12-22" "Mon" "Mon" "Mon_Tue"
-"1997-12-23" "Tue" "Tue" "Tue_Wed"
-"1997-12-24" "Wed" "Wed" "Wed_Hol"
-"1997-12-25" "Thu" "Hol" "Hol_Fri"
-"1997-12-26" "Fri" "Fri" "Fri_Sat"
-"1997-12-27" "Sat" "Sat" "Sat_Sun"
-"1997-12-28" "Sun" "Sun" "Sun_Mon"
-"1997-12-29" "Mon" "Mon" "Mon_Tue"
-"1997-12-30" "Tue" "Tue" "Tue_Wed"
-"1997-12-31" "Wed" "Wed" "Wed_Hol"
-"1998-01-01" "Thu" "Hol" "Hol_Fri"
-"1998-01-02" "Fri" "Fri" "Fri_Sat"
-"1998-01-03" "Sat" "Sat" "Sat_Sun"
-"1998-01-04" "Sun" "Sun" "Sun_Mon"
-"1998-01-05" "Mon" "Mon" "Mon_Tue"
-"1998-01-06" "Tue" "Tue" "Tue_Wed"
-"1998-01-07" "Wed" "Wed" "Wed_Thu"
-"1998-01-08" "Thu" "Thu" "Thu_Fri"
-"1998-01-09" "Fri" "Fri" "Fri_Sat"
-"1998-01-10" "Sat" "Sat" "Sat_Sun"
-"1998-01-11" "Sun" "Sun" "Sun_Mon"
-"1998-01-12" "Mon" "Mon" "Mon_Tue"
-"1998-01-13" "Tue" "Tue" "Tue_Wed"
-"1998-01-14" "Wed" "Wed" "Wed_Thu"
-"1998-01-15" "Thu" "Thu" "Thu_Fri"
-"1998-01-16" "Fri" "Fri" "Fri_Sat"
-"1998-01-17" "Sat" "Sat" "Sat_Sun"
-"1998-01-18" "Sun" "Sun" "Sun_Mon"
-"1998-01-19" "Mon" "Mon" "Mon_Tue"
-"1998-01-20" "Tue" "Tue" "Tue_Wed"
-"1998-01-21" "Wed" "Wed" "Wed_Thu"
-"1998-01-22" "Thu" "Thu" "Thu_Fri"
-"1998-01-23" "Fri" "Fri" "Fri_Sat"
-"1998-01-24" "Sat" "Sat" "Sat_Sun"
-"1998-01-25" "Sun" "Sun" "Sun_Mon"
-"1998-01-26" "Mon" "Mon" "Mon_Tue"
-"1998-01-27" "Tue" "Tue" "Tue_Wed"
-"1998-01-28" "Wed" "Wed" "Wed_Thu"
-"1998-01-29" "Thu" "Thu" "Thu_Fri"
-"1998-01-30" "Fri" "Fri" "Fri_Sat"
-"1998-01-31" "Sat" "Sat" "Sat_Sun"
-"1998-02-01" "Sun" "Sun" "Sun_Mon"
-"1998-02-02" "Mon" "Mon" "Mon_Tue"
-"1998-02-03" "Tue" "Tue" "Tue_Wed"
-"1998-02-04" "Wed" "Wed" "Wed_Thu"
-"1998-02-05" "Thu" "Thu" "Thu_Fri"
-"1998-02-06" "Fri" "Fri" "Fri_Sat"
-"1998-02-07" "Sat" "Sat" "Sat_Sun"
-"1998-02-08" "Sun" "Sun" "Sun_Mon"
-"1998-02-09" "Mon" "Mon" "Mon_Tue"
-"1998-02-10" "Tue" "Tue" "Tue_Wed"
-"1998-02-11" "Wed" "Wed" "Wed_Thu"
-"1998-02-12" "Thu" "Thu" "Thu_Fri"
-"1998-02-13" "Fri" "Fri" "Fri_Sat"
-"1998-02-14" "Sat" "Sat" "Sat_Sun"
-"1998-02-15" "Sun" "Sun" "Sun_Mon"
-"1998-02-16" "Mon" "Mon" "Mon_Tue"
-"1998-02-17" "Tue" "Tue" "Tue_Wed"
-"1998-02-18" "Wed" "Wed" "Wed_Thu"
-"1998-02-19" "Thu" "Thu" "Thu_Fri"
-"1998-02-20" "Fri" "Fri" "Fri_Sat"
-"1998-02-21" "Sat" "Sat" "Sat_Sun"
-"1998-02-22" "Sun" "Sun" "Sun_Mon"
-"1998-02-23" "Mon" "Mon" "Mon_Tue"
-"1998-02-24" "Tue" "Tue" "Tue_Wed"
-"1998-02-25" "Wed" "Wed" "Wed_Thu"
-"1998-02-26" "Thu" "Thu" "Thu_Fri"
-"1998-02-27" "Fri" "Fri" "Fri_Sat"
-"1998-02-28" "Sat" "Sat" "Sat_Sun"
-"1998-03-01" "Sun" "Sun" "Sun_Mon"
-"1998-03-02" "Mon" "Mon" "Mon_Tue"
-"1998-03-03" "Tue" "Tue" "Tue_Wed"
-"1998-03-04" "Wed" "Wed" "Wed_Thu"
-"1998-03-05" "Thu" "Thu" "Thu_Fri"
-"1998-03-06" "Fri" "Fri" "Fri_Sat"
-"1998-03-07" "Sat" "Sat" "Sat_Sun"
-"1998-03-08" "Sun" "Sun" "Sun_Mon"
-"1998-03-09" "Mon" "Mon" "Mon_Tue"
-"1998-03-10" "Tue" "Tue" "Tue_Wed"
-"1998-03-11" "Wed" "Wed" "Wed_Thu"
-"1998-03-12" "Thu" "Thu" "Thu_Fri"
-"1998-03-13" "Fri" "Fri" "Fri_Sat"
-"1998-03-14" "Sat" "Sat" "Sat_Sun"
-"1998-03-15" "Sun" "Sun" "Sun_Mon"
-"1998-03-16" "Mon" "Mon" "Mon_Tue"
-"1998-03-17" "Tue" "Tue" "Tue_Wed"
-"1998-03-18" "Wed" "Wed" "Wed_Thu"
-"1998-03-19" "Thu" "Thu" "Thu_Fri"
-"1998-03-20" "Fri" "Fri" "Fri_Sat"
-"1998-03-21" "Sat" "Sat" "Sat_Sun"
-"1998-03-22" "Sun" "Sun" "Sun_Mon"
-"1998-03-23" "Mon" "Mon" "Mon_Tue"
-"1998-03-24" "Tue" "Tue" "Tue_Wed"
-"1998-03-25" "Wed" "Wed" "Wed_Thu"
-"1998-03-26" "Thu" "Thu" "Thu_Fri"
-"1998-03-27" "Fri" "Fri" "Fri_Sat"
-"1998-03-28" "Sat" "Sat" "Sat_Sun"
-"1998-03-29" "Sun" "Sun" "Sun_Mon"
-"1998-03-30" "Mon" "Mon" "Mon_Tue"
-"1998-03-31" "Tue" "Tue" "Tue_Wed"
-"1998-04-01" "Wed" "Wed" "Wed_Thu"
-"1998-04-02" "Thu" "Thu" "Thu_Fri"
-"1998-04-03" "Fri" "Fri" "Fri_Sat"
-"1998-04-04" "Sat" "Sat" "Sat_Sun"
-"1998-04-05" "Sun" "Sun" "Sun_Mon"
-"1998-04-06" "Mon" "Mon" "Mon_Tue"
-"1998-04-07" "Tue" "Tue" "Tue_Wed"
-"1998-04-08" "Wed" "Wed" "Wed_Thu"
-"1998-04-09" "Thu" "Thu" "Thu_Fri"
-"1998-04-10" "Fri" "Fri" "Fri_Sat"
-"1998-04-11" "Sat" "Sat" "Sat_Sun"
-"1998-04-12" "Sun" "Sun" "Sun_Hol"
-"1998-04-13" "Mon" "Hol" "Hol_Tue"
-"1998-04-14" "Tue" "Tue" "Tue_Wed"
-"1998-04-15" "Wed" "Wed" "Wed_Thu"
-"1998-04-16" "Thu" "Thu" "Thu_Fri"
-"1998-04-17" "Fri" "Fri" "Fri_Sat"
-"1998-04-18" "Sat" "Sat" "Sat_Sun"
-"1998-04-19" "Sun" "Sun" "Sun_Mon"
-"1998-04-20" "Mon" "Mon" "Mon_Tue"
-"1998-04-21" "Tue" "Tue" "Tue_Wed"
-"1998-04-22" "Wed" "Wed" "Wed_Thu"
-"1998-04-23" "Thu" "Thu" "Thu_Fri"
-"1998-04-24" "Fri" "Fri" "Fri_Sat"
-"1998-04-25" "Sat" "Sat" "Sat_Sun"
-"1998-04-26" "Sun" "Sun" "Sun_Mon"
-"1998-04-27" "Mon" "Mon" "Mon_Tue"
-"1998-04-28" "Tue" "Tue" "Tue_Wed"
-"1998-04-29" "Wed" "Wed" "Wed_Thu"
-"1998-04-30" "Thu" "Thu" "Thu_Hol"
-"1998-05-01" "Fri" "Hol" "Hol_Sat"
-"1998-05-02" "Sat" "Sat" "Sat_Sun"
-"1998-05-03" "Sun" "Sun" "Sun_Mon"
-"1998-05-04" "Mon" "Mon" "Mon_Tue"
-"1998-05-05" "Tue" "Tue" "Tue_Wed"
-"1998-05-06" "Wed" "Wed" "Wed_Thu"
-"1998-05-07" "Thu" "Thu" "Thu_Hol"
-"1998-05-08" "Fri" "Hol" "Hol_Sat"
-"1998-05-09" "Sat" "Sat" "Sat_Sun"
-"1998-05-10" "Sun" "Sun" "Sun_Mon"
-"1998-05-11" "Mon" "Mon" "Mon_Tue"
-"1998-05-12" "Tue" "Tue" "Tue_Wed"
-"1998-05-13" "Wed" "Wed" "Wed_Thu"
-"1998-05-14" "Thu" "Thu" "Thu_Fri"
-"1998-05-15" "Fri" "Fri" "Fri_Sat"
-"1998-05-16" "Sat" "Sat" "Sat_Sun"
-"1998-05-17" "Sun" "Sun" "Sun_Mon"
-"1998-05-18" "Mon" "Mon" "Mon_Tue"
-"1998-05-19" "Tue" "Tue" "Tue_Wed"
-"1998-05-20" "Wed" "Wed" "Wed_Hol"
-"1998-05-21" "Thu" "Hol" "Hol_Fri"
-"1998-05-22" "Fri" "Fri" "Fri_Sat"
-"1998-05-23" "Sat" "Sat" "Sat_Sun"
-"1998-05-24" "Sun" "Sun" "Sun_Mon"
-"1998-05-25" "Mon" "Mon" "Mon_Tue"
-"1998-05-26" "Tue" "Tue" "Tue_Wed"
-"1998-05-27" "Wed" "Wed" "Wed_Thu"
-"1998-05-28" "Thu" "Thu" "Thu_Fri"
-"1998-05-29" "Fri" "Fri" "Fri_Sat"
-"1998-05-30" "Sat" "Sat" "Sat_Sun"
-"1998-05-31" "Sun" "Sun" "Sun_Hol"
-"1998-06-01" "Mon" "Hol" "Hol_Tue"
-"1998-06-02" "Tue" "Tue" "Tue_Wed"
-"1998-06-03" "Wed" "Wed" "Wed_Thu"
-"1998-06-04" "Thu" "Thu" "Thu_Fri"
-"1998-06-05" "Fri" "Fri" "Fri_Sat"
-"1998-06-06" "Sat" "Sat" "Sat_Sun"
-"1998-06-07" "Sun" "Sun" "Sun_Mon"
-"1998-06-08" "Mon" "Mon" "Mon_Tue"
-"1998-06-09" "Tue" "Tue" "Tue_Wed"
-"1998-06-10" "Wed" "Wed" "Wed_Thu"
-"1998-06-11" "Thu" "Thu" "Thu_Fri"
-"1998-06-12" "Fri" "Fri" "Fri_Sat"
-"1998-06-13" "Sat" "Sat" "Sat_Sun"
-"1998-06-14" "Sun" "Sun" "Sun_Mon"
-"1998-06-15" "Mon" "Mon" "Mon_Tue"
-"1998-06-16" "Tue" "Tue" "Tue_Wed"
-"1998-06-17" "Wed" "Wed" "Wed_Thu"
-"1998-06-18" "Thu" "Thu" "Thu_Fri"
-"1998-06-19" "Fri" "Fri" "Fri_Sat"
-"1998-06-20" "Sat" "Sat" "Sat_Sun"
-"1998-06-21" "Sun" "Sun" "Sun_Mon"
-"1998-06-22" "Mon" "Mon" "Mon_Tue"
-"1998-06-23" "Tue" "Tue" "Tue_Wed"
-"1998-06-24" "Wed" "Wed" "Wed_Thu"
-"1998-06-25" "Thu" "Thu" "Thu_Fri"
-"1998-06-26" "Fri" "Fri" "Fri_Sat"
-"1998-06-27" "Sat" "Sat" "Sat_Sun"
-"1998-06-28" "Sun" "Sun" "Sun_Mon"
-"1998-06-29" "Mon" "Mon" "Mon_Tue"
-"1998-06-30" "Tue" "Tue" "Tue_Wed"
-"1998-07-01" "Wed" "Wed" "Wed_Thu"
-"1998-07-02" "Thu" "Thu" "Thu_Fri"
-"1998-07-03" "Fri" "Fri" "Fri_Sat"
-"1998-07-04" "Sat" "Sat" "Sat_Sun"
-"1998-07-05" "Sun" "Sun" "Sun_Mon"
-"1998-07-06" "Mon" "Mon" "Mon_Tue"
-"1998-07-07" "Tue" "Tue" "Tue_Wed"
-"1998-07-08" "Wed" "Wed" "Wed_Thu"
-"1998-07-09" "Thu" "Thu" "Thu_Fri"
-"1998-07-10" "Fri" "Fri" "Fri_Sat"
-"1998-07-11" "Sat" "Sat" "Sat_Sun"
-"1998-07-12" "Sun" "Sun" "Sun_Mon"
-"1998-07-13" "Mon" "Mon" "Mon_Hol"
-"1998-07-14" "Tue" "Hol" "Hol_Wed"
-"1998-07-15" "Wed" "Wed" "Wed_Thu"
-"1998-07-16" "Thu" "Thu" "Thu_Fri"
-"1998-07-17" "Fri" "Fri" "Fri_Sat"
-"1998-07-18" "Sat" "Sat" "Sat_Sun"
-"1998-07-19" "Sun" "Sun" "Sun_Mon"
-"1998-07-20" "Mon" "Mon" "Mon_Tue"
-"1998-07-21" "Tue" "Tue" "Tue_Wed"
-"1998-07-22" "Wed" "Wed" "Wed_Thu"
-"1998-07-23" "Thu" "Thu" "Thu_Fri"
-"1998-07-24" "Fri" "Fri" "Fri_Sat"
-"1998-07-25" "Sat" "Sat" "Sat_Sun"
-"1998-07-26" "Sun" "Sun" "Sun_Mon"
-"1998-07-27" "Mon" "Mon" "Mon_Tue"
-"1998-07-28" "Tue" "Tue" "Tue_Wed"
-"1998-07-29" "Wed" "Wed" "Wed_Thu"
-"1998-07-30" "Thu" "Thu" "Thu_Fri"
-"1998-07-31" "Fri" "Fri" "Fri_Sat"
-"1998-08-01" "Sat" "Sat" "Sat_Sun"
-"1998-08-02" "Sun" "Sun" "Sun_Mon"
-"1998-08-03" "Mon" "Mon" "Mon_Tue"
-"1998-08-04" "Tue" "Tue" "Tue_Wed"
-"1998-08-05" "Wed" "Wed" "Wed_Thu"
-"1998-08-06" "Thu" "Thu" "Thu_Fri"
-"1998-08-07" "Fri" "Fri" "Fri_Sat"
-"1998-08-08" "Sat" "Sat" "Sat_Sun"
-"1998-08-09" "Sun" "Sun" "Sun_Mon"
-"1998-08-10" "Mon" "Mon" "Mon_Tue"
-"1998-08-11" "Tue" "Tue" "Tue_Wed"
-"1998-08-12" "Wed" "Wed" "Wed_Thu"
-"1998-08-13" "Thu" "Thu" "Thu_Fri"
-"1998-08-14" "Fri" "Fri" "Fri_Hol"
-"1998-08-15" "Sat" "Hol" "Hol_Sun"
-"1998-08-16" "Sun" "Sun" "Sun_Mon"
-"1998-08-17" "Mon" "Mon" "Mon_Tue"
-"1998-08-18" "Tue" "Tue" "Tue_Wed"
-"1998-08-19" "Wed" "Wed" "Wed_Thu"
-"1998-08-20" "Thu" "Thu" "Thu_Fri"
-"1998-08-21" "Fri" "Fri" "Fri_Sat"
-"1998-08-22" "Sat" "Sat" "Sat_Sun"
-"1998-08-23" "Sun" "Sun" "Sun_Mon"
-"1998-08-24" "Mon" "Mon" "Mon_Tue"
-"1998-08-25" "Tue" "Tue" "Tue_Wed"
-"1998-08-26" "Wed" "Wed" "Wed_Thu"
-"1998-08-27" "Thu" "Thu" "Thu_Fri"
-"1998-08-28" "Fri" "Fri" "Fri_Sat"
-"1998-08-29" "Sat" "Sat" "Sat_Sun"
-"1998-08-30" "Sun" "Sun" "Sun_Mon"
-"1998-08-31" "Mon" "Mon" "Mon_Tue"
-"1998-09-01" "Tue" "Tue" "Tue_Wed"
-"1998-09-02" "Wed" "Wed" "Wed_Thu"
-"1998-09-03" "Thu" "Thu" "Thu_Fri"
-"1998-09-04" "Fri" "Fri" "Fri_Sat"
-"1998-09-05" "Sat" "Sat" "Sat_Sun"
-"1998-09-06" "Sun" "Sun" "Sun_Mon"
-"1998-09-07" "Mon" "Mon" "Mon_Tue"
-"1998-09-08" "Tue" "Tue" "Tue_Wed"
-"1998-09-09" "Wed" "Wed" "Wed_Thu"
-"1998-09-10" "Thu" "Thu" "Thu_Fri"
-"1998-09-11" "Fri" "Fri" "Fri_Sat"
-"1998-09-12" "Sat" "Sat" "Sat_Sun"
-"1998-09-13" "Sun" "Sun" "Sun_Mon"
-"1998-09-14" "Mon" "Mon" "Mon_Tue"
-"1998-09-15" "Tue" "Tue" "Tue_Wed"
-"1998-09-16" "Wed" "Wed" "Wed_Thu"
-"1998-09-17" "Thu" "Thu" "Thu_Fri"
-"1998-09-18" "Fri" "Fri" "Fri_Sat"
-"1998-09-19" "Sat" "Sat" "Sat_Sun"
-"1998-09-20" "Sun" "Sun" "Sun_Mon"
-"1998-09-21" "Mon" "Mon" "Mon_Tue"
-"1998-09-22" "Tue" "Tue" "Tue_Wed"
-"1998-09-23" "Wed" "Wed" "Wed_Thu"
-"1998-09-24" "Thu" "Thu" "Thu_Fri"
-"1998-09-25" "Fri" "Fri" "Fri_Sat"
-"1998-09-26" "Sat" "Sat" "Sat_Sun"
-"1998-09-27" "Sun" "Sun" "Sun_Mon"
-"1998-09-28" "Mon" "Mon" "Mon_Tue"
-"1998-09-29" "Tue" "Tue" "Tue_Wed"
-"1998-09-30" "Wed" "Wed" "Wed_Thu"
-"1998-10-01" "Thu" "Thu" "Thu_Fri"
-"1998-10-02" "Fri" "Fri" "Fri_Sat"
-"1998-10-03" "Sat" "Sat" "Sat_Sun"
-"1998-10-04" "Sun" "Sun" "Sun_Mon"
-"1998-10-05" "Mon" "Mon" "Mon_Tue"
-"1998-10-06" "Tue" "Tue" "Tue_Wed"
-"1998-10-07" "Wed" "Wed" "Wed_Thu"
-"1998-10-08" "Thu" "Thu" "Thu_Fri"
-"1998-10-09" "Fri" "Fri" "Fri_Sat"
-"1998-10-10" "Sat" "Sat" "Sat_Sun"
-"1998-10-11" "Sun" "Sun" "Sun_Mon"
-"1998-10-12" "Mon" "Mon" "Mon_Tue"
-"1998-10-13" "Tue" "Tue" "Tue_Wed"
-"1998-10-14" "Wed" "Wed" "Wed_Thu"
-"1998-10-15" "Thu" "Thu" "Thu_Fri"
-"1998-10-16" "Fri" "Fri" "Fri_Sat"
-"1998-10-17" "Sat" "Sat" "Sat_Sun"
-"1998-10-18" "Sun" "Sun" "Sun_Mon"
-"1998-10-19" "Mon" "Mon" "Mon_Tue"
-"1998-10-20" "Tue" "Tue" "Tue_Wed"
-"1998-10-21" "Wed" "Wed" "Wed_Thu"
-"1998-10-22" "Thu" "Thu" "Thu_Fri"
-"1998-10-23" "Fri" "Fri" "Fri_Sat"
-"1998-10-24" "Sat" "Sat" "Sat_Sun"
-"1998-10-25" "Sun" "Sun" "Sun_Mon"
-"1998-10-26" "Mon" "Mon" "Mon_Tue"
-"1998-10-27" "Tue" "Tue" "Tue_Wed"
-"1998-10-28" "Wed" "Wed" "Wed_Thu"
-"1998-10-29" "Thu" "Thu" "Thu_Fri"
-"1998-10-30" "Fri" "Fri" "Fri_Sat"
-"1998-10-31" "Sat" "Sat" "Sat_Hol"
-"1998-11-01" "Sun" "Hol" "Hol_Mon"
-"1998-11-02" "Mon" "Mon" "Mon_Tue"
-"1998-11-03" "Tue" "Tue" "Tue_Wed"
-"1998-11-04" "Wed" "Wed" "Wed_Thu"
-"1998-11-05" "Thu" "Thu" "Thu_Fri"
-"1998-11-06" "Fri" "Fri" "Fri_Sat"
-"1998-11-07" "Sat" "Sat" "Sat_Sun"
-"1998-11-08" "Sun" "Sun" "Sun_Mon"
-"1998-11-09" "Mon" "Mon" "Mon_Tue"
-"1998-11-10" "Tue" "Tue" "Tue_Hol"
-"1998-11-11" "Wed" "Hol" "Hol_Thu"
-"1998-11-12" "Thu" "Thu" "Thu_Fri"
-"1998-11-13" "Fri" "Fri" "Fri_Sat"
-"1998-11-14" "Sat" "Sat" "Sat_Sun"
-"1998-11-15" "Sun" "Sun" "Sun_Mon"
-"1998-11-16" "Mon" "Mon" "Mon_Tue"
-"1998-11-17" "Tue" "Tue" "Tue_Wed"
-"1998-11-18" "Wed" "Wed" "Wed_Thu"
-"1998-11-19" "Thu" "Thu" "Thu_Fri"
-"1998-11-20" "Fri" "Fri" "Fri_Sat"
-"1998-11-21" "Sat" "Sat" "Sat_Sun"
-"1998-11-22" "Sun" "Sun" "Sun_Mon"
-"1998-11-23" "Mon" "Mon" "Mon_Tue"
-"1998-11-24" "Tue" "Tue" "Tue_Wed"
-"1998-11-25" "Wed" "Wed" "Wed_Thu"
-"1998-11-26" "Thu" "Thu" "Thu_Fri"
-"1998-11-27" "Fri" "Fri" "Fri_Sat"
-"1998-11-28" "Sat" "Sat" "Sat_Sun"
-"1998-11-29" "Sun" "Sun" "Sun_Mon"
-"1998-11-30" "Mon" "Mon" "Mon_Tue"
-"1998-12-01" "Tue" "Tue" "Tue_Wed"
-"1998-12-02" "Wed" "Wed" "Wed_Thu"
-"1998-12-03" "Thu" "Thu" "Thu_Fri"
-"1998-12-04" "Fri" "Fri" "Fri_Sat"
-"1998-12-05" "Sat" "Sat" "Sat_Sun"
-"1998-12-06" "Sun" "Sun" "Sun_Mon"
-"1998-12-07" "Mon" "Mon" "Mon_Tue"
-"1998-12-08" "Tue" "Tue" "Tue_Wed"
-"1998-12-09" "Wed" "Wed" "Wed_Thu"
-"1998-12-10" "Thu" "Thu" "Thu_Fri"
-"1998-12-11" "Fri" "Fri" "Fri_Sat"
-"1998-12-12" "Sat" "Sat" "Sat_Sun"
-"1998-12-13" "Sun" "Sun" "Sun_Mon"
-"1998-12-14" "Mon" "Mon" "Mon_Tue"
-"1998-12-15" "Tue" "Tue" "Tue_Wed"
-"1998-12-16" "Wed" "Wed" "Wed_Thu"
-"1998-12-17" "Thu" "Thu" "Thu_Fri"
-"1998-12-18" "Fri" "Fri" "Fri_Sat"
-"1998-12-19" "Sat" "Sat" "Sat_Sun"
-"1998-12-20" "Sun" "Sun" "Sun_Mon"
-"1998-12-21" "Mon" "Mon" "Mon_Tue"
-"1998-12-22" "Tue" "Tue" "Tue_Wed"
-"1998-12-23" "Wed" "Wed" "Wed_Thu"
-"1998-12-24" "Thu" "Thu" "Thu_Hol"
-"1998-12-25" "Fri" "Hol" "Hol_Sat"
-"1998-12-26" "Sat" "Sat" "Sat_Sun"
-"1998-12-27" "Sun" "Sun" "Sun_Mon"
-"1998-12-28" "Mon" "Mon" "Mon_Tue"
-"1998-12-29" "Tue" "Tue" "Tue_Wed"
-"1998-12-30" "Wed" "Wed" "Wed_Thu"
-"1998-12-31" "Thu" "Thu" "Thu_Hol"
-"1999-01-01" "Fri" "Hol" "Hol_Sat"
-"1999-01-02" "Sat" "Sat" "Sat_Sun"
-"1999-01-03" "Sun" "Sun" "Sun_Mon"
-"1999-01-04" "Mon" "Mon" "Mon_Tue"
-"1999-01-05" "Tue" "Tue" "Tue_Wed"
-"1999-01-06" "Wed" "Wed" "Wed_Thu"
-"1999-01-07" "Thu" "Thu" "Thu_Fri"
-"1999-01-08" "Fri" "Fri" "Fri_Sat"
-"1999-01-09" "Sat" "Sat" "Sat_Sun"
-"1999-01-10" "Sun" "Sun" "Sun_Mon"
-"1999-01-11" "Mon" "Mon" "Mon_Tue"
-"1999-01-12" "Tue" "Tue" "Tue_Wed"
-"1999-01-13" "Wed" "Wed" "Wed_Thu"
-"1999-01-14" "Thu" "Thu" "Thu_Fri"
-"1999-01-15" "Fri" "Fri" "Fri_Sat"
-"1999-01-16" "Sat" "Sat" "Sat_Sun"
-"1999-01-17" "Sun" "Sun" "Sun_Mon"
-"1999-01-18" "Mon" "Mon" "Mon_Tue"
-"1999-01-19" "Tue" "Tue" "Tue_Wed"
-"1999-01-20" "Wed" "Wed" "Wed_Thu"
-"1999-01-21" "Thu" "Thu" "Thu_Fri"
-"1999-01-22" "Fri" "Fri" "Fri_Sat"
-"1999-01-23" "Sat" "Sat" "Sat_Sun"
-"1999-01-24" "Sun" "Sun" "Sun_Mon"
-"1999-01-25" "Mon" "Mon" "Mon_Tue"
-"1999-01-26" "Tue" "Tue" "Tue_Wed"
-"1999-01-27" "Wed" "Wed" "Wed_Thu"
-"1999-01-28" "Thu" "Thu" "Thu_Fri"
-"1999-01-29" "Fri" "Fri" "Fri_Sat"
-"1999-01-30" "Sat" "Sat" "Sat_Sun"
-"1999-01-31" "Sun" "Sun" "Sun_Mon"
-"1999-02-01" "Mon" "Mon" "Mon_Tue"
-"1999-02-02" "Tue" "Tue" "Tue_Wed"
-"1999-02-03" "Wed" "Wed" "Wed_Thu"
-"1999-02-04" "Thu" "Thu" "Thu_Fri"
-"1999-02-05" "Fri" "Fri" "Fri_Sat"
-"1999-02-06" "Sat" "Sat" "Sat_Sun"
-"1999-02-07" "Sun" "Sun" "Sun_Mon"
-"1999-02-08" "Mon" "Mon" "Mon_Tue"
-"1999-02-09" "Tue" "Tue" "Tue_Wed"
-"1999-02-10" "Wed" "Wed" "Wed_Thu"
-"1999-02-11" "Thu" "Thu" "Thu_Fri"
-"1999-02-12" "Fri" "Fri" "Fri_Sat"
-"1999-02-13" "Sat" "Sat" "Sat_Sun"
-"1999-02-14" "Sun" "Sun" "Sun_Mon"
-"1999-02-15" "Mon" "Mon" "Mon_Tue"
-"1999-02-16" "Tue" "Tue" "Tue_Wed"
-"1999-02-17" "Wed" "Wed" "Wed_Thu"
-"1999-02-18" "Thu" "Thu" "Thu_Fri"
-"1999-02-19" "Fri" "Fri" "Fri_Sat"
-"1999-02-20" "Sat" "Sat" "Sat_Sun"
-"1999-02-21" "Sun" "Sun" "Sun_Mon"
-"1999-02-22" "Mon" "Mon" "Mon_Tue"
-"1999-02-23" "Tue" "Tue" "Tue_Wed"
-"1999-02-24" "Wed" "Wed" "Wed_Thu"
-"1999-02-25" "Thu" "Thu" "Thu_Fri"
-"1999-02-26" "Fri" "Fri" "Fri_Sat"
-"1999-02-27" "Sat" "Sat" "Sat_Sun"
-"1999-02-28" "Sun" "Sun" "Sun_Mon"
-"1999-03-01" "Mon" "Mon" "Mon_Tue"
-"1999-03-02" "Tue" "Tue" "Tue_Wed"
-"1999-03-03" "Wed" "Wed" "Wed_Thu"
-"1999-03-04" "Thu" "Thu" "Thu_Fri"
-"1999-03-05" "Fri" "Fri" "Fri_Sat"
-"1999-03-06" "Sat" "Sat" "Sat_Sun"
-"1999-03-07" "Sun" "Sun" "Sun_Mon"
-"1999-03-08" "Mon" "Mon" "Mon_Tue"
-"1999-03-09" "Tue" "Tue" "Tue_Wed"
-"1999-03-10" "Wed" "Wed" "Wed_Thu"
-"1999-03-11" "Thu" "Thu" "Thu_Fri"
-"1999-03-12" "Fri" "Fri" "Fri_Sat"
-"1999-03-13" "Sat" "Sat" "Sat_Sun"
-"1999-03-14" "Sun" "Sun" "Sun_Mon"
-"1999-03-15" "Mon" "Mon" "Mon_Tue"
-"1999-03-16" "Tue" "Tue" "Tue_Wed"
-"1999-03-17" "Wed" "Wed" "Wed_Thu"
-"1999-03-18" "Thu" "Thu" "Thu_Fri"
-"1999-03-19" "Fri" "Fri" "Fri_Sat"
-"1999-03-20" "Sat" "Sat" "Sat_Sun"
-"1999-03-21" "Sun" "Sun" "Sun_Mon"
-"1999-03-22" "Mon" "Mon" "Mon_Tue"
-"1999-03-23" "Tue" "Tue" "Tue_Wed"
-"1999-03-24" "Wed" "Wed" "Wed_Thu"
-"1999-03-25" "Thu" "Thu" "Thu_Fri"
-"1999-03-26" "Fri" "Fri" "Fri_Sat"
-"1999-03-27" "Sat" "Sat" "Sat_Sun"
-"1999-03-28" "Sun" "Sun" "Sun_Mon"
-"1999-03-29" "Mon" "Mon" "Mon_Tue"
-"1999-03-30" "Tue" "Tue" "Tue_Wed"
-"1999-03-31" "Wed" "Wed" "Wed_Thu"
-"1999-04-01" "Thu" "Thu" "Thu_Fri"
-"1999-04-02" "Fri" "Fri" "Fri_Sat"
-"1999-04-03" "Sat" "Sat" "Sat_Sun"
-"1999-04-04" "Sun" "Sun" "Sun_Hol"
-"1999-04-05" "Mon" "Hol" "Hol_Tue"
-"1999-04-06" "Tue" "Tue" "Tue_Wed"
-"1999-04-07" "Wed" "Wed" "Wed_Thu"
-"1999-04-08" "Thu" "Thu" "Thu_Fri"
-"1999-04-09" "Fri" "Fri" "Fri_Sat"
-"1999-04-10" "Sat" "Sat" "Sat_Sun"
-"1999-04-11" "Sun" "Sun" "Sun_Mon"
-"1999-04-12" "Mon" "Mon" "Mon_Tue"
-"1999-04-13" "Tue" "Tue" "Tue_Wed"
-"1999-04-14" "Wed" "Wed" "Wed_Thu"
-"1999-04-15" "Thu" "Thu" "Thu_Fri"
-"1999-04-16" "Fri" "Fri" "Fri_Sat"
-"1999-04-17" "Sat" "Sat" "Sat_Sun"
-"1999-04-18" "Sun" "Sun" "Sun_Mon"
-"1999-04-19" "Mon" "Mon" "Mon_Tue"
-"1999-04-20" "Tue" "Tue" "Tue_Wed"
-"1999-04-21" "Wed" "Wed" "Wed_Thu"
-"1999-04-22" "Thu" "Thu" "Thu_Fri"
-"1999-04-23" "Fri" "Fri" "Fri_Sat"
-"1999-04-24" "Sat" "Sat" "Sat_Sun"
-"1999-04-25" "Sun" "Sun" "Sun_Mon"
-"1999-04-26" "Mon" "Mon" "Mon_Tue"
-"1999-04-27" "Tue" "Tue" "Tue_Wed"
-"1999-04-28" "Wed" "Wed" "Wed_Thu"
-"1999-04-29" "Thu" "Thu" "Thu_Fri"
-"1999-04-30" "Fri" "Fri" "Fri_Hol"
-"1999-05-01" "Sat" "Hol" "Hol_Sun"
-"1999-05-02" "Sun" "Sun" "Sun_Mon"
-"1999-05-03" "Mon" "Mon" "Mon_Tue"
-"1999-05-04" "Tue" "Tue" "Tue_Wed"
-"1999-05-05" "Wed" "Wed" "Wed_Thu"
-"1999-05-06" "Thu" "Thu" "Thu_Fri"
-"1999-05-07" "Fri" "Fri" "Fri_Hol"
-"1999-05-08" "Sat" "Hol" "Hol_Sun"
-"1999-05-09" "Sun" "Sun" "Sun_Mon"
-"1999-05-10" "Mon" "Mon" "Mon_Tue"
-"1999-05-11" "Tue" "Tue" "Tue_Wed"
-"1999-05-12" "Wed" "Wed" "Wed_Hol"
-"1999-05-13" "Thu" "Hol" "Hol_Fri"
-"1999-05-14" "Fri" "Fri" "Fri_Sat"
-"1999-05-15" "Sat" "Sat" "Sat_Sun"
-"1999-05-16" "Sun" "Sun" "Sun_Mon"
-"1999-05-17" "Mon" "Mon" "Mon_Tue"
-"1999-05-18" "Tue" "Tue" "Tue_Wed"
-"1999-05-19" "Wed" "Wed" "Wed_Thu"
-"1999-05-20" "Thu" "Thu" "Thu_Fri"
-"1999-05-21" "Fri" "Fri" "Fri_Sat"
-"1999-05-22" "Sat" "Sat" "Sat_Sun"
-"1999-05-23" "Sun" "Sun" "Sun_Hol"
-"1999-05-24" "Mon" "Hol" "Hol_Tue"
-"1999-05-25" "Tue" "Tue" "Tue_Wed"
-"1999-05-26" "Wed" "Wed" "Wed_Thu"
-"1999-05-27" "Thu" "Thu" "Thu_Fri"
-"1999-05-28" "Fri" "Fri" "Fri_Sat"
-"1999-05-29" "Sat" "Sat" "Sat_Sun"
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-"1999-05-31" "Mon" "Mon" "Mon_Tue"
-"1999-06-01" "Tue" "Tue" "Tue_Wed"
-"1999-06-02" "Wed" "Wed" "Wed_Thu"
-"1999-06-03" "Thu" "Thu" "Thu_Fri"
-"1999-06-04" "Fri" "Fri" "Fri_Sat"
-"1999-06-05" "Sat" "Sat" "Sat_Sun"
-"1999-06-06" "Sun" "Sun" "Sun_Mon"
-"1999-06-07" "Mon" "Mon" "Mon_Tue"
-"1999-06-08" "Tue" "Tue" "Tue_Wed"
-"1999-06-09" "Wed" "Wed" "Wed_Thu"
-"1999-06-10" "Thu" "Thu" "Thu_Fri"
-"1999-06-11" "Fri" "Fri" "Fri_Sat"
-"1999-06-12" "Sat" "Sat" "Sat_Sun"
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-"1999-07-13" "Tue" "Tue" "Tue_Hol"
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-"1999-07-21" "Wed" "Wed" "Wed_Thu"
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-"1999-07-27" "Tue" "Tue" "Tue_Wed"
-"1999-07-28" "Wed" "Wed" "Wed_Thu"
-"1999-07-29" "Thu" "Thu" "Thu_Fri"
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-"1999-07-31" "Sat" "Sat" "Sat_Sun"
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-"1999-08-02" "Mon" "Mon" "Mon_Tue"
-"1999-08-03" "Tue" "Tue" "Tue_Wed"
-"1999-08-04" "Wed" "Wed" "Wed_Thu"
-"1999-08-05" "Thu" "Thu" "Thu_Fri"
-"1999-08-06" "Fri" "Fri" "Fri_Sat"
-"1999-08-07" "Sat" "Sat" "Sat_Sun"
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-"1999-08-10" "Tue" "Tue" "Tue_Wed"
-"1999-08-11" "Wed" "Wed" "Wed_Thu"
-"1999-08-12" "Thu" "Thu" "Thu_Fri"
-"1999-08-13" "Fri" "Fri" "Fri_Sat"
-"1999-08-14" "Sat" "Sat" "Sat_Hol"
-"1999-08-15" "Sun" "Hol" "Hol_Mon"
-"1999-08-16" "Mon" "Mon" "Mon_Tue"
-"1999-08-17" "Tue" "Tue" "Tue_Wed"
-"1999-08-18" "Wed" "Wed" "Wed_Thu"
-"1999-08-19" "Thu" "Thu" "Thu_Fri"
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-"1999-08-21" "Sat" "Sat" "Sat_Sun"
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-"1999-08-24" "Tue" "Tue" "Tue_Wed"
-"1999-08-25" "Wed" "Wed" "Wed_Thu"
-"1999-08-26" "Thu" "Thu" "Thu_Fri"
-"1999-08-27" "Fri" "Fri" "Fri_Sat"
-"1999-08-28" "Sat" "Sat" "Sat_Sun"
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-"1999-08-30" "Mon" "Mon" "Mon_Tue"
-"1999-08-31" "Tue" "Tue" "Tue_Wed"
-"1999-09-01" "Wed" "Wed" "Wed_Thu"
-"1999-09-02" "Thu" "Thu" "Thu_Fri"
-"1999-09-03" "Fri" "Fri" "Fri_Sat"
-"1999-09-04" "Sat" "Sat" "Sat_Sun"
-"1999-09-05" "Sun" "Sun" "Sun_Mon"
-"1999-09-06" "Mon" "Mon" "Mon_Tue"
-"1999-09-07" "Tue" "Tue" "Tue_Wed"
-"1999-09-08" "Wed" "Wed" "Wed_Thu"
-"1999-09-09" "Thu" "Thu" "Thu_Fri"
-"1999-09-10" "Fri" "Fri" "Fri_Sat"
-"1999-09-11" "Sat" "Sat" "Sat_Sun"
-"1999-09-12" "Sun" "Sun" "Sun_Mon"
-"1999-09-13" "Mon" "Mon" "Mon_Tue"
-"1999-09-14" "Tue" "Tue" "Tue_Wed"
-"1999-09-15" "Wed" "Wed" "Wed_Thu"
-"1999-09-16" "Thu" "Thu" "Thu_Fri"
-"1999-09-17" "Fri" "Fri" "Fri_Sat"
-"1999-09-18" "Sat" "Sat" "Sat_Sun"
-"1999-09-19" "Sun" "Sun" "Sun_Mon"
-"1999-09-20" "Mon" "Mon" "Mon_Tue"
-"1999-09-21" "Tue" "Tue" "Tue_Wed"
-"1999-09-22" "Wed" "Wed" "Wed_Thu"
-"1999-09-23" "Thu" "Thu" "Thu_Fri"
-"1999-09-24" "Fri" "Fri" "Fri_Sat"
-"1999-09-25" "Sat" "Sat" "Sat_Sun"
-"1999-09-26" "Sun" "Sun" "Sun_Mon"
-"1999-09-27" "Mon" "Mon" "Mon_Tue"
-"1999-09-28" "Tue" "Tue" "Tue_Wed"
-"1999-09-29" "Wed" "Wed" "Wed_Thu"
-"1999-09-30" "Thu" "Thu" "Thu_Fri"
-"1999-10-01" "Fri" "Fri" "Fri_Sat"
-"1999-10-02" "Sat" "Sat" "Sat_Sun"
-"1999-10-03" "Sun" "Sun" "Sun_Mon"
-"1999-10-04" "Mon" "Mon" "Mon_Tue"
-"1999-10-05" "Tue" "Tue" "Tue_Wed"
-"1999-10-06" "Wed" "Wed" "Wed_Thu"
-"1999-10-07" "Thu" "Thu" "Thu_Fri"
-"1999-10-08" "Fri" "Fri" "Fri_Sat"
-"1999-10-09" "Sat" "Sat" "Sat_Sun"
-"1999-10-10" "Sun" "Sun" "Sun_Mon"
-"1999-10-11" "Mon" "Mon" "Mon_Tue"
-"1999-10-12" "Tue" "Tue" "Tue_Wed"
-"1999-10-13" "Wed" "Wed" "Wed_Thu"
-"1999-10-14" "Thu" "Thu" "Thu_Fri"
-"1999-10-15" "Fri" "Fri" "Fri_Sat"
-"1999-10-16" "Sat" "Sat" "Sat_Sun"
-"1999-10-17" "Sun" "Sun" "Sun_Mon"
-"1999-10-18" "Mon" "Mon" "Mon_Tue"
-"1999-10-19" "Tue" "Tue" "Tue_Wed"
-"1999-10-20" "Wed" "Wed" "Wed_Thu"
-"1999-10-21" "Thu" "Thu" "Thu_Fri"
-"1999-10-22" "Fri" "Fri" "Fri_Sat"
-"1999-10-23" "Sat" "Sat" "Sat_Sun"
-"1999-10-24" "Sun" "Sun" "Sun_Mon"
-"1999-10-25" "Mon" "Mon" "Mon_Tue"
-"1999-10-26" "Tue" "Tue" "Tue_Wed"
-"1999-10-27" "Wed" "Wed" "Wed_Thu"
-"1999-10-28" "Thu" "Thu" "Thu_Fri"
-"1999-10-29" "Fri" "Fri" "Fri_Sat"
-"1999-10-30" "Sat" "Sat" "Sat_Sun"
-"1999-10-31" "Sun" "Sun" "Sun_Hol"
-"1999-11-01" "Mon" "Hol" "Hol_Tue"
-"1999-11-02" "Tue" "Tue" "Tue_Wed"
-"1999-11-03" "Wed" "Wed" "Wed_Thu"
-"1999-11-04" "Thu" "Thu" "Thu_Fri"
-"1999-11-05" "Fri" "Fri" "Fri_Sat"
-"1999-11-06" "Sat" "Sat" "Sat_Sun"
-"1999-11-07" "Sun" "Sun" "Sun_Mon"
-"1999-11-08" "Mon" "Mon" "Mon_Tue"
-"1999-11-09" "Tue" "Tue" "Tue_Wed"
-"1999-11-10" "Wed" "Wed" "Wed_Hol"
-"1999-11-11" "Thu" "Hol" "Hol_Fri"
-"1999-11-12" "Fri" "Fri" "Fri_Sat"
-"1999-11-13" "Sat" "Sat" "Sat_Sun"
-"1999-11-14" "Sun" "Sun" "Sun_Mon"
-"1999-11-15" "Mon" "Mon" "Mon_Tue"
-"1999-11-16" "Tue" "Tue" "Tue_Wed"
-"1999-11-17" "Wed" "Wed" "Wed_Thu"
-"1999-11-18" "Thu" "Thu" "Thu_Fri"
-"1999-11-19" "Fri" "Fri" "Fri_Sat"
-"1999-11-20" "Sat" "Sat" "Sat_Sun"
-"1999-11-21" "Sun" "Sun" "Sun_Mon"
-"1999-11-22" "Mon" "Mon" "Mon_Tue"
-"1999-11-23" "Tue" "Tue" "Tue_Wed"
-"1999-11-24" "Wed" "Wed" "Wed_Thu"
-"1999-11-25" "Thu" "Thu" "Thu_Fri"
-"1999-11-26" "Fri" "Fri" "Fri_Sat"
-"1999-11-27" "Sat" "Sat" "Sat_Sun"
-"1999-11-28" "Sun" "Sun" "Sun_Mon"
-"1999-11-29" "Mon" "Mon" "Mon_Tue"
-"1999-11-30" "Tue" "Tue" "Tue_Wed"
-"1999-12-01" "Wed" "Wed" "Wed_Thu"
-"1999-12-02" "Thu" "Thu" "Thu_Fri"
-"1999-12-03" "Fri" "Fri" "Fri_Sat"
-"1999-12-04" "Sat" "Sat" "Sat_Sun"
-"1999-12-05" "Sun" "Sun" "Sun_Mon"
-"1999-12-06" "Mon" "Mon" "Mon_Tue"
-"1999-12-07" "Tue" "Tue" "Tue_Wed"
-"1999-12-08" "Wed" "Wed" "Wed_Thu"
-"1999-12-09" "Thu" "Thu" "Thu_Fri"
-"1999-12-10" "Fri" "Fri" "Fri_Sat"
-"1999-12-11" "Sat" "Sat" "Sat_Sun"
-"1999-12-12" "Sun" "Sun" "Sun_Mon"
-"1999-12-13" "Mon" "Mon" "Mon_Tue"
-"1999-12-14" "Tue" "Tue" "Tue_Wed"
-"1999-12-15" "Wed" "Wed" "Wed_Thu"
-"1999-12-16" "Thu" "Thu" "Thu_Fri"
-"1999-12-17" "Fri" "Fri" "Fri_Sat"
-"1999-12-18" "Sat" "Sat" "Sat_Sun"
-"1999-12-19" "Sun" "Sun" "Sun_Mon"
-"1999-12-20" "Mon" "Mon" "Mon_Tue"
-"1999-12-21" "Tue" "Tue" "Tue_Wed"
-"1999-12-22" "Wed" "Wed" "Wed_Thu"
-"1999-12-23" "Thu" "Thu" "Thu_Fri"
-"1999-12-24" "Fri" "Fri" "Fri_Hol"
-"1999-12-25" "Sat" "Hol" "Hol_Sun"
-"1999-12-26" "Sun" "Sun" "Sun_Mon"
-"1999-12-27" "Mon" "Mon" "Mon_Tue"
-"1999-12-28" "Tue" "Tue" "Tue_Wed"
-"1999-12-29" "Wed" "Wed" "Wed_Thu"
-"1999-12-30" "Thu" "Thu" "Thu_Fri"
-"1999-12-31" "Fri" "Fri" "Fri_Hol"
-"2000-01-01" "Sat" "Hol" "Hol_Sun"
-"2000-01-02" "Sun" "Sun" "Sun_Mon"
-"2000-01-03" "Mon" "Mon" "Mon_Tue"
-"2000-01-04" "Tue" "Tue" "Tue_Wed"
-"2000-01-05" "Wed" "Wed" "Wed_Thu"
-"2000-01-06" "Thu" "Thu" "Thu_Fri"
-"2000-01-07" "Fri" "Fri" "Fri_Sat"
-"2000-01-08" "Sat" "Sat" "Sat_Sun"
-"2000-01-09" "Sun" "Sun" "Sun_Mon"
-"2000-01-10" "Mon" "Mon" "Mon_Tue"
-"2000-01-11" "Tue" "Tue" "Tue_Wed"
-"2000-01-12" "Wed" "Wed" "Wed_Thu"
-"2000-01-13" "Thu" "Thu" "Thu_Fri"
-"2000-01-14" "Fri" "Fri" "Fri_Sat"
-"2000-01-15" "Sat" "Sat" "Sat_Sun"
-"2000-01-16" "Sun" "Sun" "Sun_Mon"
-"2000-01-17" "Mon" "Mon" "Mon_Tue"
-"2000-01-18" "Tue" "Tue" "Tue_Wed"
-"2000-01-19" "Wed" "Wed" "Wed_Thu"
-"2000-01-20" "Thu" "Thu" "Thu_Fri"
-"2000-01-21" "Fri" "Fri" "Fri_Sat"
-"2000-01-22" "Sat" "Sat" "Sat_Sun"
-"2000-01-23" "Sun" "Sun" "Sun_Mon"
-"2000-01-24" "Mon" "Mon" "Mon_Tue"
-"2000-01-25" "Tue" "Tue" "Tue_Wed"
-"2000-01-26" "Wed" "Wed" "Wed_Thu"
-"2000-01-27" "Thu" "Thu" "Thu_Fri"
-"2000-01-28" "Fri" "Fri" "Fri_Sat"
-"2000-01-29" "Sat" "Sat" "Sat_Sun"
-"2000-01-30" "Sun" "Sun" "Sun_Mon"
-"2000-01-31" "Mon" "Mon" "Mon_Tue"
-"2000-02-01" "Tue" "Tue" "Tue_Wed"
-"2000-02-02" "Wed" "Wed" "Wed_Thu"
-"2000-02-03" "Thu" "Thu" "Thu_Fri"
-"2000-02-04" "Fri" "Fri" "Fri_Sat"
-"2000-02-05" "Sat" "Sat" "Sat_Sun"
-"2000-02-06" "Sun" "Sun" "Sun_Mon"
-"2000-02-07" "Mon" "Mon" "Mon_Tue"
-"2000-02-08" "Tue" "Tue" "Tue_Wed"
-"2000-02-09" "Wed" "Wed" "Wed_Thu"
-"2000-02-10" "Thu" "Thu" "Thu_Fri"
-"2000-02-11" "Fri" "Fri" "Fri_Sat"
-"2000-02-12" "Sat" "Sat" "Sat_Sun"
-"2000-02-13" "Sun" "Sun" "Sun_Mon"
-"2000-02-14" "Mon" "Mon" "Mon_Tue"
-"2000-02-15" "Tue" "Tue" "Tue_Wed"
-"2000-02-16" "Wed" "Wed" "Wed_Thu"
-"2000-02-17" "Thu" "Thu" "Thu_Fri"
-"2000-02-18" "Fri" "Fri" "Fri_Sat"
-"2000-02-19" "Sat" "Sat" "Sat_Sun"
-"2000-02-20" "Sun" "Sun" "Sun_Mon"
-"2000-02-21" "Mon" "Mon" "Mon_Tue"
-"2000-02-22" "Tue" "Tue" "Tue_Wed"
-"2000-02-23" "Wed" "Wed" "Wed_Thu"
-"2000-02-24" "Thu" "Thu" "Thu_Fri"
-"2000-02-25" "Fri" "Fri" "Fri_Sat"
-"2000-02-26" "Sat" "Sat" "Sat_Sun"
-"2000-02-27" "Sun" "Sun" "Sun_Mon"
-"2000-02-28" "Mon" "Mon" "Mon_Tue"
-"2000-02-29" "Tue" "Tue" "Tue_Wed"
-"2000-03-01" "Wed" "Wed" "Wed_Thu"
-"2000-03-02" "Thu" "Thu" "Thu_Fri"
-"2000-03-03" "Fri" "Fri" "Fri_Sat"
-"2000-03-04" "Sat" "Sat" "Sat_Sun"
-"2000-03-05" "Sun" "Sun" "Sun_Mon"
-"2000-03-06" "Mon" "Mon" "Mon_Tue"
-"2000-03-07" "Tue" "Tue" "Tue_Wed"
-"2000-03-08" "Wed" "Wed" "Wed_Thu"
-"2000-03-09" "Thu" "Thu" "Thu_Fri"
-"2000-03-10" "Fri" "Fri" "Fri_Sat"
-"2000-03-11" "Sat" "Sat" "Sat_Sun"
-"2000-03-12" "Sun" "Sun" "Sun_Mon"
-"2000-03-13" "Mon" "Mon" "Mon_Tue"
-"2000-03-14" "Tue" "Tue" "Tue_Wed"
-"2000-03-15" "Wed" "Wed" "Wed_Thu"
-"2000-03-16" "Thu" "Thu" "Thu_Fri"
-"2000-03-17" "Fri" "Fri" "Fri_Sat"
-"2000-03-18" "Sat" "Sat" "Sat_Sun"
-"2000-03-19" "Sun" "Sun" "Sun_Mon"
-"2000-03-20" "Mon" "Mon" "Mon_Tue"
-"2000-03-21" "Tue" "Tue" "Tue_Wed"
-"2000-03-22" "Wed" "Wed" "Wed_Thu"
-"2000-03-23" "Thu" "Thu" "Thu_Fri"
-"2000-03-24" "Fri" "Fri" "Fri_Sat"
-"2000-03-25" "Sat" "Sat" "Sat_Sun"
-"2000-03-26" "Sun" "Sun" "Sun_Mon"
-"2000-03-27" "Mon" "Mon" "Mon_Tue"
-"2000-03-28" "Tue" "Tue" "Tue_Wed"
-"2000-03-29" "Wed" "Wed" "Wed_Thu"
-"2000-03-30" "Thu" "Thu" "Thu_Fri"
-"2000-03-31" "Fri" "Fri" "Fri_Sat"
-"2000-04-01" "Sat" "Sat" "Sat_Sun"
-"2000-04-02" "Sun" "Sun" "Sun_Mon"
-"2000-04-03" "Mon" "Mon" "Mon_Tue"
-"2000-04-04" "Tue" "Tue" "Tue_Wed"
-"2000-04-05" "Wed" "Wed" "Wed_Thu"
-"2000-04-06" "Thu" "Thu" "Thu_Fri"
-"2000-04-07" "Fri" "Fri" "Fri_Sat"
-"2000-04-08" "Sat" "Sat" "Sat_Sun"
-"2000-04-09" "Sun" "Sun" "Sun_Mon"
-"2000-04-10" "Mon" "Mon" "Mon_Tue"
-"2000-04-11" "Tue" "Tue" "Tue_Wed"
-"2000-04-12" "Wed" "Wed" "Wed_Thu"
-"2000-04-13" "Thu" "Thu" "Thu_Fri"
-"2000-04-14" "Fri" "Fri" "Fri_Sat"
-"2000-04-15" "Sat" "Sat" "Sat_Sun"
-"2000-04-16" "Sun" "Sun" "Sun_Mon"
-"2000-04-17" "Mon" "Mon" "Mon_Tue"
-"2000-04-18" "Tue" "Tue" "Tue_Wed"
-"2000-04-19" "Wed" "Wed" "Wed_Thu"
-"2000-04-20" "Thu" "Thu" "Thu_Fri"
-"2000-04-21" "Fri" "Fri" "Fri_Sat"
-"2000-04-22" "Sat" "Sat" "Sat_Sun"
-"2000-04-23" "Sun" "Sun" "Sun_Hol"
-"2000-04-24" "Mon" "Hol" "Hol_Tue"
-"2000-04-25" "Tue" "Tue" "Tue_Wed"
-"2000-04-26" "Wed" "Wed" "Wed_Thu"
-"2000-04-27" "Thu" "Thu" "Thu_Fri"
-"2000-04-28" "Fri" "Fri" "Fri_Sat"
-"2000-04-29" "Sat" "Sat" "Sat_Sun"
-"2000-04-30" "Sun" "Sun" "Sun_Hol"
-"2000-05-01" "Mon" "Hol" "Hol_Tue"
-"2000-05-02" "Tue" "Tue" "Tue_Wed"
-"2000-05-03" "Wed" "Wed" "Wed_Thu"
-"2000-05-04" "Thu" "Thu" "Thu_Fri"
-"2000-05-05" "Fri" "Fri" "Fri_Sat"
-"2000-05-06" "Sat" "Sat" "Sat_Sun"
-"2000-05-07" "Sun" "Sun" "Sun_Hol"
-"2000-05-08" "Mon" "Hol" "Hol_Tue"
-"2000-05-09" "Tue" "Tue" "Tue_Wed"
-"2000-05-10" "Wed" "Wed" "Wed_Thu"
-"2000-05-11" "Thu" "Thu" "Thu_Fri"
-"2000-05-12" "Fri" "Fri" "Fri_Sat"
-"2000-05-13" "Sat" "Sat" "Sat_Sun"
-"2000-05-14" "Sun" "Sun" "Sun_Mon"
-"2000-05-15" "Mon" "Mon" "Mon_Tue"
-"2000-05-16" "Tue" "Tue" "Tue_Wed"
-"2000-05-17" "Wed" "Wed" "Wed_Thu"
-"2000-05-18" "Thu" "Thu" "Thu_Fri"
-"2000-05-19" "Fri" "Fri" "Fri_Sat"
-"2000-05-20" "Sat" "Sat" "Sat_Sun"
-"2000-05-21" "Sun" "Sun" "Sun_Mon"
-"2000-05-22" "Mon" "Mon" "Mon_Tue"
-"2000-05-23" "Tue" "Tue" "Tue_Wed"
-"2000-05-24" "Wed" "Wed" "Wed_Thu"
-"2000-05-25" "Thu" "Thu" "Thu_Fri"
-"2000-05-26" "Fri" "Fri" "Fri_Sat"
-"2000-05-27" "Sat" "Sat" "Sat_Sun"
-"2000-05-28" "Sun" "Sun" "Sun_Mon"
-"2000-05-29" "Mon" "Mon" "Mon_Tue"
-"2000-05-30" "Tue" "Tue" "Tue_Wed"
-"2000-05-31" "Wed" "Wed" "Wed_Hol"
-"2000-06-01" "Thu" "Hol" "Hol_Fri"
-"2000-06-02" "Fri" "Fri" "Fri_Sat"
-"2000-06-03" "Sat" "Sat" "Sat_Sun"
-"2000-06-04" "Sun" "Sun" "Sun_Mon"
-"2000-06-05" "Mon" "Mon" "Mon_Tue"
-"2000-06-06" "Tue" "Tue" "Tue_Wed"
-"2000-06-07" "Wed" "Wed" "Wed_Thu"
-"2000-06-08" "Thu" "Thu" "Thu_Fri"
-"2000-06-09" "Fri" "Fri" "Fri_Sat"
-"2000-06-10" "Sat" "Sat" "Sat_Sun"
-"2000-06-11" "Sun" "Sun" "Sun_Hol"
-"2000-06-12" "Mon" "Hol" "Hol_Tue"
-"2000-06-13" "Tue" "Tue" "Tue_Wed"
-"2000-06-14" "Wed" "Wed" "Wed_Thu"
-"2000-06-15" "Thu" "Thu" "Thu_Fri"
-"2000-06-16" "Fri" "Fri" "Fri_Sat"
-"2000-06-17" "Sat" "Sat" "Sat_Sun"
-"2000-06-18" "Sun" "Sun" "Sun_Mon"
-"2000-06-19" "Mon" "Mon" "Mon_Tue"
-"2000-06-20" "Tue" "Tue" "Tue_Wed"
-"2000-06-21" "Wed" "Wed" "Wed_Thu"
-"2000-06-22" "Thu" "Thu" "Thu_Fri"
-"2000-06-23" "Fri" "Fri" "Fri_Sat"
-"2000-06-24" "Sat" "Sat" "Sat_Sun"
-"2000-06-25" "Sun" "Sun" "Sun_Mon"
-"2000-06-26" "Mon" "Mon" "Mon_Tue"
-"2000-06-27" "Tue" "Tue" "Tue_Wed"
-"2000-06-28" "Wed" "Wed" "Wed_Thu"
-"2000-06-29" "Thu" "Thu" "Thu_Fri"
-"2000-06-30" "Fri" "Fri" "Fri_Sat"
-"2000-07-01" "Sat" "Sat" "Sat_Sun"
-"2000-07-02" "Sun" "Sun" "Sun_Mon"
-"2000-07-03" "Mon" "Mon" "Mon_Tue"
-"2000-07-04" "Tue" "Tue" "Tue_Wed"
-"2000-07-05" "Wed" "Wed" "Wed_Thu"
-"2000-07-06" "Thu" "Thu" "Thu_Fri"
-"2000-07-07" "Fri" "Fri" "Fri_Sat"
-"2000-07-08" "Sat" "Sat" "Sat_Sun"
-"2000-07-09" "Sun" "Sun" "Sun_Mon"
-"2000-07-10" "Mon" "Mon" "Mon_Tue"
-"2000-07-11" "Tue" "Tue" "Tue_Wed"
-"2000-07-12" "Wed" "Wed" "Wed_Thu"
-"2000-07-13" "Thu" "Thu" "Thu_Hol"
-"2000-07-14" "Fri" "Hol" "Hol_Sat"
-"2000-07-15" "Sat" "Sat" "Sat_Sun"
-"2000-07-16" "Sun" "Sun" "Sun_Mon"
-"2000-07-17" "Mon" "Mon" "Mon_Tue"
-"2000-07-18" "Tue" "Tue" "Tue_Wed"
-"2000-07-19" "Wed" "Wed" "Wed_Thu"
-"2000-07-20" "Thu" "Thu" "Thu_Fri"
-"2000-07-21" "Fri" "Fri" "Fri_Sat"
-"2000-07-22" "Sat" "Sat" "Sat_Sun"
-"2000-07-23" "Sun" "Sun" "Sun_Mon"
-"2000-07-24" "Mon" "Mon" "Mon_Tue"
-"2000-07-25" "Tue" "Tue" "Tue_Wed"
-"2000-07-26" "Wed" "Wed" "Wed_Thu"
-"2000-07-27" "Thu" "Thu" "Thu_Fri"
-"2000-07-28" "Fri" "Fri" "Fri_Sat"
-"2000-07-29" "Sat" "Sat" "Sat_Sun"
-"2000-07-30" "Sun" "Sun" "Sun_Mon"
-"2000-07-31" "Mon" "Mon" "Mon_Tue"
-"2000-08-01" "Tue" "Tue" "Tue_Wed"
-"2000-08-02" "Wed" "Wed" "Wed_Thu"
-"2000-08-03" "Thu" "Thu" "Thu_Fri"
-"2000-08-04" "Fri" "Fri" "Fri_Sat"
-"2000-08-05" "Sat" "Sat" "Sat_Sun"
-"2000-08-06" "Sun" "Sun" "Sun_Mon"
-"2000-08-07" "Mon" "Mon" "Mon_Tue"
-"2000-08-08" "Tue" "Tue" "Tue_Wed"
-"2000-08-09" "Wed" "Wed" "Wed_Thu"
-"2000-08-10" "Thu" "Thu" "Thu_Fri"
-"2000-08-11" "Fri" "Fri" "Fri_Sat"
-"2000-08-12" "Sat" "Sat" "Sat_Sun"
-"2000-08-13" "Sun" "Sun" "Sun_Mon"
-"2000-08-14" "Mon" "Mon" "Mon_Hol"
-"2000-08-15" "Tue" "Hol" "Hol_Wed"
-"2000-08-16" "Wed" "Wed" "Wed_Thu"
-"2000-08-17" "Thu" "Thu" "Thu_Fri"
-"2000-08-18" "Fri" "Fri" "Fri_Sat"
-"2000-08-19" "Sat" "Sat" "Sat_Sun"
-"2000-08-20" "Sun" "Sun" "Sun_Mon"
-"2000-08-21" "Mon" "Mon" "Mon_Tue"
-"2000-08-22" "Tue" "Tue" "Tue_Wed"
-"2000-08-23" "Wed" "Wed" "Wed_Thu"
-"2000-08-24" "Thu" "Thu" "Thu_Fri"
-"2000-08-25" "Fri" "Fri" "Fri_Sat"
-"2000-08-26" "Sat" "Sat" "Sat_Sun"
-"2000-08-27" "Sun" "Sun" "Sun_Mon"
-"2000-08-28" "Mon" "Mon" "Mon_Tue"
-"2000-08-29" "Tue" "Tue" "Tue_Wed"
-"2000-08-30" "Wed" "Wed" "Wed_Thu"
-"2000-08-31" "Thu" "Thu" "Thu_Fri"
-"2000-09-01" "Fri" "Fri" "Fri_Sat"
-"2000-09-02" "Sat" "Sat" "Sat_Sun"
-"2000-09-03" "Sun" "Sun" "Sun_Mon"
-"2000-09-04" "Mon" "Mon" "Mon_Tue"
-"2000-09-05" "Tue" "Tue" "Tue_Wed"
-"2000-09-06" "Wed" "Wed" "Wed_Thu"
-"2000-09-07" "Thu" "Thu" "Thu_Fri"
-"2000-09-08" "Fri" "Fri" "Fri_Sat"
-"2000-09-09" "Sat" "Sat" "Sat_Sun"
-"2000-09-10" "Sun" "Sun" "Sun_Mon"
-"2000-09-11" "Mon" "Mon" "Mon_Tue"
-"2000-09-12" "Tue" "Tue" "Tue_Wed"
-"2000-09-13" "Wed" "Wed" "Wed_Thu"
-"2000-09-14" "Thu" "Thu" "Thu_Fri"
-"2000-09-15" "Fri" "Fri" "Fri_Sat"
-"2000-09-16" "Sat" "Sat" "Sat_Sun"
-"2000-09-17" "Sun" "Sun" "Sun_Mon"
-"2000-09-18" "Mon" "Mon" "Mon_Tue"
-"2000-09-19" "Tue" "Tue" "Tue_Wed"
-"2000-09-20" "Wed" "Wed" "Wed_Thu"
-"2000-09-21" "Thu" "Thu" "Thu_Fri"
-"2000-09-22" "Fri" "Fri" "Fri_Sat"
-"2000-09-23" "Sat" "Sat" "Sat_Sun"
-"2000-09-24" "Sun" "Sun" "Sun_Mon"
-"2000-09-25" "Mon" "Mon" "Mon_Tue"
-"2000-09-26" "Tue" "Tue" "Tue_Wed"
-"2000-09-27" "Wed" "Wed" "Wed_Thu"
-"2000-09-28" "Thu" "Thu" "Thu_Fri"
-"2000-09-29" "Fri" "Fri" "Fri_Sat"
-"2000-09-30" "Sat" "Sat" "Sat_Sun"
-"2000-10-01" "Sun" "Sun" "Sun_Mon"
-"2000-10-02" "Mon" "Mon" "Mon_Tue"
-"2000-10-03" "Tue" "Tue" "Tue_Wed"
-"2000-10-04" "Wed" "Wed" "Wed_Thu"
-"2000-10-05" "Thu" "Thu" "Thu_Fri"
-"2000-10-06" "Fri" "Fri" "Fri_Sat"
-"2000-10-07" "Sat" "Sat" "Sat_Sun"
-"2000-10-08" "Sun" "Sun" "Sun_Mon"
-"2000-10-09" "Mon" "Mon" "Mon_Tue"
-"2000-10-10" "Tue" "Tue" "Tue_Wed"
-"2000-10-11" "Wed" "Wed" "Wed_Thu"
-"2000-10-12" "Thu" "Thu" "Thu_Fri"
-"2000-10-13" "Fri" "Fri" "Fri_Sat"
-"2000-10-14" "Sat" "Sat" "Sat_Sun"
-"2000-10-15" "Sun" "Sun" "Sun_Mon"
-"2000-10-16" "Mon" "Mon" "Mon_Tue"
-"2000-10-17" "Tue" "Tue" "Tue_Wed"
-"2000-10-18" "Wed" "Wed" "Wed_Thu"
-"2000-10-19" "Thu" "Thu" "Thu_Fri"
-"2000-10-20" "Fri" "Fri" "Fri_Sat"
-"2000-10-21" "Sat" "Sat" "Sat_Sun"
-"2000-10-22" "Sun" "Sun" "Sun_Mon"
-"2000-10-23" "Mon" "Mon" "Mon_Tue"
-"2000-10-24" "Tue" "Tue" "Tue_Wed"
-"2000-10-25" "Wed" "Wed" "Wed_Thu"
-"2000-10-26" "Thu" "Thu" "Thu_Fri"
-"2000-10-27" "Fri" "Fri" "Fri_Sat"
-"2000-10-28" "Sat" "Sat" "Sat_Sun"
-"2000-10-29" "Sun" "Sun" "Sun_Mon"
-"2000-10-30" "Mon" "Mon" "Mon_Tue"
-"2000-10-31" "Tue" "Tue" "Tue_Hol"
-"2000-11-01" "Wed" "Hol" "Hol_Thu"
-"2000-11-02" "Thu" "Thu" "Thu_Fri"
-"2000-11-03" "Fri" "Fri" "Fri_Sat"
-"2000-11-04" "Sat" "Sat" "Sat_Sun"
-"2000-11-05" "Sun" "Sun" "Sun_Mon"
-"2000-11-06" "Mon" "Mon" "Mon_Tue"
-"2000-11-07" "Tue" "Tue" "Tue_Wed"
-"2000-11-08" "Wed" "Wed" "Wed_Thu"
-"2000-11-09" "Thu" "Thu" "Thu_Fri"
-"2000-11-10" "Fri" "Fri" "Fri_Hol"
-"2000-11-11" "Sat" "Hol" "Hol_Sun"
-"2000-11-12" "Sun" "Sun" "Sun_Mon"
-"2000-11-13" "Mon" "Mon" "Mon_Tue"
-"2000-11-14" "Tue" "Tue" "Tue_Wed"
-"2000-11-15" "Wed" "Wed" "Wed_Thu"
-"2000-11-16" "Thu" "Thu" "Thu_Fri"
-"2000-11-17" "Fri" "Fri" "Fri_Sat"
-"2000-11-18" "Sat" "Sat" "Sat_Sun"
-"2000-11-19" "Sun" "Sun" "Sun_Mon"
-"2000-11-20" "Mon" "Mon" "Mon_Tue"
-"2000-11-21" "Tue" "Tue" "Tue_Wed"
-"2000-11-22" "Wed" "Wed" "Wed_Thu"
-"2000-11-23" "Thu" "Thu" "Thu_Fri"
-"2000-11-24" "Fri" "Fri" "Fri_Sat"
-"2000-11-25" "Sat" "Sat" "Sat_Sun"
-"2000-11-26" "Sun" "Sun" "Sun_Mon"
-"2000-11-27" "Mon" "Mon" "Mon_Tue"
-"2000-11-28" "Tue" "Tue" "Tue_Wed"
-"2000-11-29" "Wed" "Wed" "Wed_Thu"
-"2000-11-30" "Thu" "Thu" "Thu_Fri"
-"2000-12-01" "Fri" "Fri" "Fri_Sat"
-"2000-12-02" "Sat" "Sat" "Sat_Sun"
-"2000-12-03" "Sun" "Sun" "Sun_Mon"
-"2000-12-04" "Mon" "Mon" "Mon_Tue"
-"2000-12-05" "Tue" "Tue" "Tue_Wed"
-"2000-12-06" "Wed" "Wed" "Wed_Thu"
-"2000-12-07" "Thu" "Thu" "Thu_Fri"
-"2000-12-08" "Fri" "Fri" "Fri_Sat"
-"2000-12-09" "Sat" "Sat" "Sat_Sun"
-"2000-12-10" "Sun" "Sun" "Sun_Mon"
-"2000-12-11" "Mon" "Mon" "Mon_Tue"
-"2000-12-12" "Tue" "Tue" "Tue_Wed"
-"2000-12-13" "Wed" "Wed" "Wed_Thu"
-"2000-12-14" "Thu" "Thu" "Thu_Fri"
-"2000-12-15" "Fri" "Fri" "Fri_Sat"
-"2000-12-16" "Sat" "Sat" "Sat_Sun"
-"2000-12-17" "Sun" "Sun" "Sun_Mon"
-"2000-12-18" "Mon" "Mon" "Mon_Tue"
-"2000-12-19" "Tue" "Tue" "Tue_Wed"
-"2000-12-20" "Wed" "Wed" "Wed_Thu"
-"2000-12-21" "Thu" "Thu" "Thu_Fri"
-"2000-12-22" "Fri" "Fri" "Fri_Sat"
-"2000-12-23" "Sat" "Sat" "Sat_Sun"
-"2000-12-24" "Sun" "Sun" "Sun_Hol"
-"2000-12-25" "Mon" "Hol" "Hol_Tue"
-"2000-12-26" "Tue" "Tue" "Tue_Wed"
-"2000-12-27" "Wed" "Wed" "Wed_Thu"
-"2000-12-28" "Thu" "Thu" "Thu_Fri"
-"2000-12-29" "Fri" "Fri" "Fri_Sat"
-"2000-12-30" "Sat" "Sat" "Sat_Sun"
-"2000-12-31" "Sun" "Sun" "Sun_Hol"
-"2001-01-01" "Mon" "Hol" "Hol_Tue"
-"2001-01-02" "Tue" "Tue" "Tue_Wed"
-"2001-01-03" "Wed" "Wed" "Wed_Thu"
-"2001-01-04" "Thu" "Thu" "Thu_Fri"
-"2001-01-05" "Fri" "Fri" "Fri_Sat"
-"2001-01-06" "Sat" "Sat" "Sat_Sun"
-"2001-01-07" "Sun" "Sun" "Sun_Mon"
-"2001-01-08" "Mon" "Mon" "Mon_Tue"
-"2001-01-09" "Tue" "Tue" "Tue_Wed"
-"2001-01-10" "Wed" "Wed" "Wed_Thu"
-"2001-01-11" "Thu" "Thu" "Thu_Fri"
-"2001-01-12" "Fri" "Fri" "Fri_Sat"
-"2001-01-13" "Sat" "Sat" "Sat_Sun"
-"2001-01-14" "Sun" "Sun" "Sun_Mon"
-"2001-01-15" "Mon" "Mon" "Mon_Tue"
-"2001-01-16" "Tue" "Tue" "Tue_Wed"
-"2001-01-17" "Wed" "Wed" "Wed_Thu"
-"2001-01-18" "Thu" "Thu" "Thu_Fri"
-"2001-01-19" "Fri" "Fri" "Fri_Sat"
-"2001-01-20" "Sat" "Sat" "Sat_Sun"
-"2001-01-21" "Sun" "Sun" "Sun_Mon"
-"2001-01-22" "Mon" "Mon" "Mon_Tue"
-"2001-01-23" "Tue" "Tue" "Tue_Wed"
-"2001-01-24" "Wed" "Wed" "Wed_Thu"
-"2001-01-25" "Thu" "Thu" "Thu_Fri"
-"2001-01-26" "Fri" "Fri" "Fri_Sat"
-"2001-01-27" "Sat" "Sat" "Sat_Sun"
-"2001-01-28" "Sun" "Sun" "Sun_Mon"
-"2001-01-29" "Mon" "Mon" "Mon_Tue"
-"2001-01-30" "Tue" "Tue" "Tue_Wed"
-"2001-01-31" "Wed" "Wed" "Wed_Thu"
-"2001-02-01" "Thu" "Thu" "Thu_Fri"
-"2001-02-02" "Fri" "Fri" "Fri_Sat"
-"2001-02-03" "Sat" "Sat" "Sat_Sun"
-"2001-02-04" "Sun" "Sun" "Sun_Mon"
-"2001-02-05" "Mon" "Mon" "Mon_Tue"
-"2001-02-06" "Tue" "Tue" "Tue_Wed"
-"2001-02-07" "Wed" "Wed" "Wed_Thu"
-"2001-02-08" "Thu" "Thu" "Thu_Fri"
-"2001-02-09" "Fri" "Fri" "Fri_Sat"
-"2001-02-10" "Sat" "Sat" "Sat_Sun"
-"2001-02-11" "Sun" "Sun" "Sun_Mon"
-"2001-02-12" "Mon" "Mon" "Mon_Tue"
-"2001-02-13" "Tue" "Tue" "Tue_Wed"
-"2001-02-14" "Wed" "Wed" "Wed_Thu"
-"2001-02-15" "Thu" "Thu" "Thu_Fri"
-"2001-02-16" "Fri" "Fri" "Fri_Sat"
-"2001-02-17" "Sat" "Sat" "Sat_Sun"
-"2001-02-18" "Sun" "Sun" "Sun_Mon"
-"2001-02-19" "Mon" "Mon" "Mon_Tue"
-"2001-02-20" "Tue" "Tue" "Tue_Wed"
-"2001-02-21" "Wed" "Wed" "Wed_Thu"
-"2001-02-22" "Thu" "Thu" "Thu_Fri"
-"2001-02-23" "Fri" "Fri" "Fri_Sat"
-"2001-02-24" "Sat" "Sat" "Sat_Sun"
-"2001-02-25" "Sun" "Sun" "Sun_Mon"
-"2001-02-26" "Mon" "Mon" "Mon_Tue"
-"2001-02-27" "Tue" "Tue" "Tue_Wed"
-"2001-02-28" "Wed" "Wed" "Wed_Thu"
-"2001-03-01" "Thu" "Thu" "Thu_Fri"
-"2001-03-02" "Fri" "Fri" "Fri_Sat"
-"2001-03-03" "Sat" "Sat" "Sat_Sun"
-"2001-03-04" "Sun" "Sun" "Sun_Mon"
-"2001-03-05" "Mon" "Mon" "Mon_Tue"
-"2001-03-06" "Tue" "Tue" "Tue_Wed"
-"2001-03-07" "Wed" "Wed" "Wed_Thu"
-"2001-03-08" "Thu" "Thu" "Thu_Fri"
-"2001-03-09" "Fri" "Fri" "Fri_Sat"
-"2001-03-10" "Sat" "Sat" "Sat_Sun"
-"2001-03-11" "Sun" "Sun" "Sun_Mon"
-"2001-03-12" "Mon" "Mon" "Mon_Tue"
-"2001-03-13" "Tue" "Tue" "Tue_Wed"
-"2001-03-14" "Wed" "Wed" "Wed_Thu"
-"2001-03-15" "Thu" "Thu" "Thu_Fri"
-"2001-03-16" "Fri" "Fri" "Fri_Sat"
-"2001-03-17" "Sat" "Sat" "Sat_Sun"
-"2001-03-18" "Sun" "Sun" "Sun_Mon"
-"2001-03-19" "Mon" "Mon" "Mon_Tue"
-"2001-03-20" "Tue" "Tue" "Tue_Wed"
-"2001-03-21" "Wed" "Wed" "Wed_Thu"
-"2001-03-22" "Thu" "Thu" "Thu_Fri"
-"2001-03-23" "Fri" "Fri" "Fri_Sat"
-"2001-03-24" "Sat" "Sat" "Sat_Sun"
-"2001-03-25" "Sun" "Sun" "Sun_Mon"
-"2001-03-26" "Mon" "Mon" "Mon_Tue"
-"2001-03-27" "Tue" "Tue" "Tue_Wed"
-"2001-03-28" "Wed" "Wed" "Wed_Thu"
-"2001-03-29" "Thu" "Thu" "Thu_Fri"
-"2001-03-30" "Fri" "Fri" "Fri_Sat"
-"2001-03-31" "Sat" "Sat" "Sat_Sun"
-"2001-04-01" "Sun" "Sun" "Sun_Mon"
-"2001-04-02" "Mon" "Mon" "Mon_Tue"
-"2001-04-03" "Tue" "Tue" "Tue_Wed"
-"2001-04-04" "Wed" "Wed" "Wed_Thu"
-"2001-04-05" "Thu" "Thu" "Thu_Fri"
-"2001-04-06" "Fri" "Fri" "Fri_Sat"
-"2001-04-07" "Sat" "Sat" "Sat_Sun"
-"2001-04-08" "Sun" "Sun" "Sun_Mon"
-"2001-04-09" "Mon" "Mon" "Mon_Tue"
-"2001-04-10" "Tue" "Tue" "Tue_Wed"
-"2001-04-11" "Wed" "Wed" "Wed_Thu"
-"2001-04-12" "Thu" "Thu" "Thu_Fri"
-"2001-04-13" "Fri" "Fri" "Fri_Sat"
-"2001-04-14" "Sat" "Sat" "Sat_Sun"
-"2001-04-15" "Sun" "Sun" "Sun_Hol"
-"2001-04-16" "Mon" "Hol" "Hol_Tue"
-"2001-04-17" "Tue" "Tue" "Tue_Wed"
-"2001-04-18" "Wed" "Wed" "Wed_Thu"
-"2001-04-19" "Thu" "Thu" "Thu_Fri"
-"2001-04-20" "Fri" "Fri" "Fri_Sat"
-"2001-04-21" "Sat" "Sat" "Sat_Sun"
-"2001-04-22" "Sun" "Sun" "Sun_Mon"
-"2001-04-23" "Mon" "Mon" "Mon_Tue"
-"2001-04-24" "Tue" "Tue" "Tue_Wed"
-"2001-04-25" "Wed" "Wed" "Wed_Thu"
-"2001-04-26" "Thu" "Thu" "Thu_Fri"
-"2001-04-27" "Fri" "Fri" "Fri_Sat"
-"2001-04-28" "Sat" "Sat" "Sat_Sun"
-"2001-04-29" "Sun" "Sun" "Sun_Mon"
-"2001-04-30" "Mon" "Mon" "Mon_Hol"
-"2001-05-01" "Tue" "Hol" "Hol_Wed"
-"2001-05-02" "Wed" "Wed" "Wed_Thu"
-"2001-05-03" "Thu" "Thu" "Thu_Fri"
-"2001-05-04" "Fri" "Fri" "Fri_Sat"
-"2001-05-05" "Sat" "Sat" "Sat_Sun"
-"2001-05-06" "Sun" "Sun" "Sun_Mon"
-"2001-05-07" "Mon" "Mon" "Mon_Hol"
-"2001-05-08" "Tue" "Hol" "Hol_Wed"
-"2001-05-09" "Wed" "Wed" "Wed_Thu"
-"2001-05-10" "Thu" "Thu" "Thu_Fri"
-"2001-05-11" "Fri" "Fri" "Fri_Sat"
-"2001-05-12" "Sat" "Sat" "Sat_Sun"
-"2001-05-13" "Sun" "Sun" "Sun_Mon"
-"2001-05-14" "Mon" "Mon" "Mon_Tue"
-"2001-05-15" "Tue" "Tue" "Tue_Wed"
-"2001-05-16" "Wed" "Wed" "Wed_Thu"
-"2001-05-17" "Thu" "Thu" "Thu_Fri"
-"2001-05-18" "Fri" "Fri" "Fri_Sat"
-"2001-05-19" "Sat" "Sat" "Sat_Sun"
-"2001-05-20" "Sun" "Sun" "Sun_Mon"
-"2001-05-21" "Mon" "Mon" "Mon_Tue"
-"2001-05-22" "Tue" "Tue" "Tue_Wed"
-"2001-05-23" "Wed" "Wed" "Wed_Hol"
-"2001-05-24" "Thu" "Hol" "Hol_Fri"
-"2001-05-25" "Fri" "Fri" "Fri_Sat"
-"2001-05-26" "Sat" "Sat" "Sat_Sun"
-"2001-05-27" "Sun" "Sun" "Sun_Mon"
-"2001-05-28" "Mon" "Mon" "Mon_Tue"
-"2001-05-29" "Tue" "Tue" "Tue_Wed"
-"2001-05-30" "Wed" "Wed" "Wed_Thu"
-"2001-05-31" "Thu" "Thu" "Thu_Fri"
-"2001-06-01" "Fri" "Fri" "Fri_Sat"
-"2001-06-02" "Sat" "Sat" "Sat_Sun"
-"2001-06-03" "Sun" "Sun" "Sun_Hol"
-"2001-06-04" "Mon" "Hol" "Hol_Tue"
-"2001-06-05" "Tue" "Tue" "Tue_Wed"
-"2001-06-06" "Wed" "Wed" "Wed_Thu"
-"2001-06-07" "Thu" "Thu" "Thu_Fri"
-"2001-06-08" "Fri" "Fri" "Fri_Sat"
-"2001-06-09" "Sat" "Sat" "Sat_Sun"
-"2001-06-10" "Sun" "Sun" "Sun_Mon"
-"2001-06-11" "Mon" "Mon" "Mon_Tue"
-"2001-06-12" "Tue" "Tue" "Tue_Wed"
-"2001-06-13" "Wed" "Wed" "Wed_Thu"
-"2001-06-14" "Thu" "Thu" "Thu_Fri"
-"2001-06-15" "Fri" "Fri" "Fri_Sat"
-"2001-06-16" "Sat" "Sat" "Sat_Sun"
-"2001-06-17" "Sun" "Sun" "Sun_Mon"
-"2001-06-18" "Mon" "Mon" "Mon_Tue"
-"2001-06-19" "Tue" "Tue" "Tue_Wed"
-"2001-06-20" "Wed" "Wed" "Wed_Thu"
-"2001-06-21" "Thu" "Thu" "Thu_Fri"
-"2001-06-22" "Fri" "Fri" "Fri_Sat"
-"2001-06-23" "Sat" "Sat" "Sat_Sun"
-"2001-06-24" "Sun" "Sun" "Sun_Mon"
-"2001-06-25" "Mon" "Mon" "Mon_Tue"
-"2001-06-26" "Tue" "Tue" "Tue_Wed"
-"2001-06-27" "Wed" "Wed" "Wed_Thu"
-"2001-06-28" "Thu" "Thu" "Thu_Fri"
-"2001-06-29" "Fri" "Fri" "Fri_Sat"
-"2001-06-30" "Sat" "Sat" "Sat_Sun"
-"2001-07-01" "Sun" "Sun" "Sun_Mon"
-"2001-07-02" "Mon" "Mon" "Mon_Tue"
-"2001-07-03" "Tue" "Tue" "Tue_Wed"
-"2001-07-04" "Wed" "Wed" "Wed_Thu"
-"2001-07-05" "Thu" "Thu" "Thu_Fri"
-"2001-07-06" "Fri" "Fri" "Fri_Sat"
-"2001-07-07" "Sat" "Sat" "Sat_Sun"
-"2001-07-08" "Sun" "Sun" "Sun_Mon"
-"2001-07-09" "Mon" "Mon" "Mon_Tue"
-"2001-07-10" "Tue" "Tue" "Tue_Wed"
-"2001-07-11" "Wed" "Wed" "Wed_Thu"
-"2001-07-12" "Thu" "Thu" "Thu_Fri"
-"2001-07-13" "Fri" "Fri" "Fri_Hol"
-"2001-07-14" "Sat" "Hol" "Hol_Sun"
-"2001-07-15" "Sun" "Sun" "Sun_Mon"
-"2001-07-16" "Mon" "Mon" "Mon_Tue"
-"2001-07-17" "Tue" "Tue" "Tue_Wed"
-"2001-07-18" "Wed" "Wed" "Wed_Thu"
-"2001-07-19" "Thu" "Thu" "Thu_Fri"
-"2001-07-20" "Fri" "Fri" "Fri_Sat"
-"2001-07-21" "Sat" "Sat" "Sat_Sun"
-"2001-07-22" "Sun" "Sun" "Sun_Mon"
-"2001-07-23" "Mon" "Mon" "Mon_Tue"
-"2001-07-24" "Tue" "Tue" "Tue_Wed"
-"2001-07-25" "Wed" "Wed" "Wed_Thu"
-"2001-07-26" "Thu" "Thu" "Thu_Fri"
-"2001-07-27" "Fri" "Fri" "Fri_Sat"
-"2001-07-28" "Sat" "Sat" "Sat_Sun"
-"2001-07-29" "Sun" "Sun" "Sun_Mon"
-"2001-07-30" "Mon" "Mon" "Mon_Tue"
-"2001-07-31" "Tue" "Tue" "Tue_Wed"
-"2001-08-01" "Wed" "Wed" "Wed_Thu"
-"2001-08-02" "Thu" "Thu" "Thu_Fri"
-"2001-08-03" "Fri" "Fri" "Fri_Sat"
-"2001-08-04" "Sat" "Sat" "Sat_Sun"
-"2001-08-05" "Sun" "Sun" "Sun_Mon"
-"2001-08-06" "Mon" "Mon" "Mon_Tue"
-"2001-08-07" "Tue" "Tue" "Tue_Wed"
-"2001-08-08" "Wed" "Wed" "Wed_Thu"
-"2001-08-09" "Thu" "Thu" "Thu_Fri"
-"2001-08-10" "Fri" "Fri" "Fri_Sat"
-"2001-08-11" "Sat" "Sat" "Sat_Sun"
-"2001-08-12" "Sun" "Sun" "Sun_Mon"
-"2001-08-13" "Mon" "Mon" "Mon_Tue"
-"2001-08-14" "Tue" "Tue" "Tue_Hol"
-"2001-08-15" "Wed" "Hol" "Hol_Thu"
-"2001-08-16" "Thu" "Thu" "Thu_Fri"
-"2001-08-17" "Fri" "Fri" "Fri_Sat"
-"2001-08-18" "Sat" "Sat" "Sat_Sun"
-"2001-08-19" "Sun" "Sun" "Sun_Mon"
-"2001-08-20" "Mon" "Mon" "Mon_Tue"
-"2001-08-21" "Tue" "Tue" "Tue_Wed"
-"2001-08-22" "Wed" "Wed" "Wed_Thu"
-"2001-08-23" "Thu" "Thu" "Thu_Fri"
-"2001-08-24" "Fri" "Fri" "Fri_Sat"
-"2001-08-25" "Sat" "Sat" "Sat_Sun"
-"2001-08-26" "Sun" "Sun" "Sun_Mon"
-"2001-08-27" "Mon" "Mon" "Mon_Tue"
-"2001-08-28" "Tue" "Tue" "Tue_Wed"
-"2001-08-29" "Wed" "Wed" "Wed_Thu"
-"2001-08-30" "Thu" "Thu" "Thu_Fri"
-"2001-08-31" "Fri" "Fri" "Fri_Sat"
-"2001-09-01" "Sat" "Sat" "Sat_Sun"
-"2001-09-02" "Sun" "Sun" "Sun_Mon"
-"2001-09-03" "Mon" "Mon" "Mon_Tue"
-"2001-09-04" "Tue" "Tue" "Tue_Wed"
-"2001-09-05" "Wed" "Wed" "Wed_Thu"
-"2001-09-06" "Thu" "Thu" "Thu_Fri"
-"2001-09-07" "Fri" "Fri" "Fri_Sat"
-"2001-09-08" "Sat" "Sat" "Sat_Sun"
-"2001-09-09" "Sun" "Sun" "Sun_Mon"
-"2001-09-10" "Mon" "Mon" "Mon_Tue"
-"2001-09-11" "Tue" "Tue" "Tue_Wed"
-"2001-09-12" "Wed" "Wed" "Wed_Thu"
-"2001-09-13" "Thu" "Thu" "Thu_Fri"
-"2001-09-14" "Fri" "Fri" "Fri_Sat"
-"2001-09-15" "Sat" "Sat" "Sat_Sun"
-"2001-09-16" "Sun" "Sun" "Sun_Mon"
-"2001-09-17" "Mon" "Mon" "Mon_Tue"
-"2001-09-18" "Tue" "Tue" "Tue_Wed"
-"2001-09-19" "Wed" "Wed" "Wed_Thu"
-"2001-09-20" "Thu" "Thu" "Thu_Fri"
-"2001-09-21" "Fri" "Fri" "Fri_Sat"
-"2001-09-22" "Sat" "Sat" "Sat_Sun"
-"2001-09-23" "Sun" "Sun" "Sun_Mon"
-"2001-09-24" "Mon" "Mon" "Mon_Tue"
-"2001-09-25" "Tue" "Tue" "Tue_Wed"
-"2001-09-26" "Wed" "Wed" "Wed_Thu"
-"2001-09-27" "Thu" "Thu" "Thu_Fri"
-"2001-09-28" "Fri" "Fri" "Fri_Sat"
-"2001-09-29" "Sat" "Sat" "Sat_Sun"
-"2001-09-30" "Sun" "Sun" "Sun_Mon"
-"2001-10-01" "Mon" "Mon" "Mon_Tue"
-"2001-10-02" "Tue" "Tue" "Tue_Wed"
-"2001-10-03" "Wed" "Wed" "Wed_Thu"
-"2001-10-04" "Thu" "Thu" "Thu_Fri"
-"2001-10-05" "Fri" "Fri" "Fri_Sat"
-"2001-10-06" "Sat" "Sat" "Sat_Sun"
-"2001-10-07" "Sun" "Sun" "Sun_Mon"
-"2001-10-08" "Mon" "Mon" "Mon_Tue"
-"2001-10-09" "Tue" "Tue" "Tue_Wed"
-"2001-10-10" "Wed" "Wed" "Wed_Thu"
-"2001-10-11" "Thu" "Thu" "Thu_Fri"
-"2001-10-12" "Fri" "Fri" "Fri_Sat"
-"2001-10-13" "Sat" "Sat" "Sat_Sun"
-"2001-10-14" "Sun" "Sun" "Sun_Mon"
-"2001-10-15" "Mon" "Mon" "Mon_Tue"
-"2001-10-16" "Tue" "Tue" "Tue_Wed"
-"2001-10-17" "Wed" "Wed" "Wed_Thu"
-"2001-10-18" "Thu" "Thu" "Thu_Fri"
-"2001-10-19" "Fri" "Fri" "Fri_Sat"
-"2001-10-20" "Sat" "Sat" "Sat_Sun"
-"2001-10-21" "Sun" "Sun" "Sun_Mon"
-"2001-10-22" "Mon" "Mon" "Mon_Tue"
-"2001-10-23" "Tue" "Tue" "Tue_Wed"
-"2001-10-24" "Wed" "Wed" "Wed_Thu"
-"2001-10-25" "Thu" "Thu" "Thu_Fri"
-"2001-10-26" "Fri" "Fri" "Fri_Sat"
-"2001-10-27" "Sat" "Sat" "Sat_Sun"
-"2001-10-28" "Sun" "Sun" "Sun_Mon"
-"2001-10-29" "Mon" "Mon" "Mon_Tue"
-"2001-10-30" "Tue" "Tue" "Tue_Wed"
-"2001-10-31" "Wed" "Wed" "Wed_Hol"
-"2001-11-01" "Thu" "Hol" "Hol_Fri"
-"2001-11-02" "Fri" "Fri" "Fri_Sat"
-"2001-11-03" "Sat" "Sat" "Sat_Sun"
-"2001-11-04" "Sun" "Sun" "Sun_Mon"
-"2001-11-05" "Mon" "Mon" "Mon_Tue"
-"2001-11-06" "Tue" "Tue" "Tue_Wed"
-"2001-11-07" "Wed" "Wed" "Wed_Thu"
-"2001-11-08" "Thu" "Thu" "Thu_Fri"
-"2001-11-09" "Fri" "Fri" "Fri_Sat"
-"2001-11-10" "Sat" "Sat" "Sat_Hol"
-"2001-11-11" "Sun" "Hol" "Hol_Mon"
-"2001-11-12" "Mon" "Mon" "Mon_Tue"
-"2001-11-13" "Tue" "Tue" "Tue_Wed"
-"2001-11-14" "Wed" "Wed" "Wed_Thu"
-"2001-11-15" "Thu" "Thu" "Thu_Fri"
-"2001-11-16" "Fri" "Fri" "Fri_Sat"
-"2001-11-17" "Sat" "Sat" "Sat_Sun"
-"2001-11-18" "Sun" "Sun" "Sun_Mon"
-"2001-11-19" "Mon" "Mon" "Mon_Tue"
-"2001-11-20" "Tue" "Tue" "Tue_Wed"
-"2001-11-21" "Wed" "Wed" "Wed_Thu"
-"2001-11-22" "Thu" "Thu" "Thu_Fri"
-"2001-11-23" "Fri" "Fri" "Fri_Sat"
-"2001-11-24" "Sat" "Sat" "Sat_Sun"
-"2001-11-25" "Sun" "Sun" "Sun_Mon"
-"2001-11-26" "Mon" "Mon" "Mon_Tue"
-"2001-11-27" "Tue" "Tue" "Tue_Wed"
-"2001-11-28" "Wed" "Wed" "Wed_Thu"
-"2001-11-29" "Thu" "Thu" "Thu_Fri"
-"2001-11-30" "Fri" "Fri" "Fri_Sat"
-"2001-12-01" "Sat" "Sat" "Sat_Sun"
-"2001-12-02" "Sun" "Sun" "Sun_Mon"
-"2001-12-03" "Mon" "Mon" "Mon_Tue"
-"2001-12-04" "Tue" "Tue" "Tue_Wed"
-"2001-12-05" "Wed" "Wed" "Wed_Thu"
-"2001-12-06" "Thu" "Thu" "Thu_Fri"
-"2001-12-07" "Fri" "Fri" "Fri_Sat"
-"2001-12-08" "Sat" "Sat" "Sat_Sun"
-"2001-12-09" "Sun" "Sun" "Sun_Mon"
-"2001-12-10" "Mon" "Mon" "Mon_Tue"
-"2001-12-11" "Tue" "Tue" "Tue_Wed"
-"2001-12-12" "Wed" "Wed" "Wed_Thu"
-"2001-12-13" "Thu" "Thu" "Thu_Fri"
-"2001-12-14" "Fri" "Fri" "Fri_Sat"
-"2001-12-15" "Sat" "Sat" "Sat_Sun"
-"2001-12-16" "Sun" "Sun" "Sun_Mon"
-"2001-12-17" "Mon" "Mon" "Mon_Tue"
-"2001-12-18" "Tue" "Tue" "Tue_Wed"
-"2001-12-19" "Wed" "Wed" "Wed_Thu"
-"2001-12-20" "Thu" "Thu" "Thu_Fri"
-"2001-12-21" "Fri" "Fri" "Fri_Sat"
-"2001-12-22" "Sat" "Sat" "Sat_Sun"
-"2001-12-23" "Sun" "Sun" "Sun_Mon"
-"2001-12-24" "Mon" "Mon" "Mon_Hol"
-"2001-12-25" "Tue" "Hol" "Hol_Wed"
-"2001-12-26" "Wed" "Wed" "Wed_Thu"
-"2001-12-27" "Thu" "Thu" "Thu_Fri"
-"2001-12-28" "Fri" "Fri" "Fri_Sat"
-"2001-12-29" "Sat" "Sat" "Sat_Sun"
-"2001-12-30" "Sun" "Sun" "Sun_Mon"
-"2001-12-31" "Mon" "Mon" "Mon_Hol"
-"2002-01-01" "Tue" "Hol" "Hol_Wed"
-"2002-01-02" "Wed" "Wed" "Wed_Thu"
-"2002-01-03" "Thu" "Thu" "Thu_Fri"
-"2002-01-04" "Fri" "Fri" "Fri_Sat"
-"2002-01-05" "Sat" "Sat" "Sat_Sun"
-"2002-01-06" "Sun" "Sun" "Sun_Mon"
-"2002-01-07" "Mon" "Mon" "Mon_Tue"
-"2002-01-08" "Tue" "Tue" "Tue_Wed"
-"2002-01-09" "Wed" "Wed" "Wed_Thu"
-"2002-01-10" "Thu" "Thu" "Thu_Fri"
-"2002-01-11" "Fri" "Fri" "Fri_Sat"
-"2002-01-12" "Sat" "Sat" "Sat_Sun"
-"2002-01-13" "Sun" "Sun" "Sun_Mon"
-"2002-01-14" "Mon" "Mon" "Mon_Tue"
-"2002-01-15" "Tue" "Tue" "Tue_Wed"
-"2002-01-16" "Wed" "Wed" "Wed_Thu"
-"2002-01-17" "Thu" "Thu" "Thu_Fri"
-"2002-01-18" "Fri" "Fri" "Fri_Sat"
-"2002-01-19" "Sat" "Sat" "Sat_Sun"
-"2002-01-20" "Sun" "Sun" "Sun_Mon"
-"2002-01-21" "Mon" "Mon" "Mon_Tue"
-"2002-01-22" "Tue" "Tue" "Tue_Wed"
-"2002-01-23" "Wed" "Wed" "Wed_Thu"
-"2002-01-24" "Thu" "Thu" "Thu_Fri"
-"2002-01-25" "Fri" "Fri" "Fri_Sat"
-"2002-01-26" "Sat" "Sat" "Sat_Sun"
-"2002-01-27" "Sun" "Sun" "Sun_Mon"
-"2002-01-28" "Mon" "Mon" "Mon_Tue"
-"2002-01-29" "Tue" "Tue" "Tue_Wed"
-"2002-01-30" "Wed" "Wed" "Wed_Thu"
-"2002-01-31" "Thu" "Thu" "Thu_Fri"
-"2002-02-01" "Fri" "Fri" "Fri_Sat"
-"2002-02-02" "Sat" "Sat" "Sat_Sun"
-"2002-02-03" "Sun" "Sun" "Sun_Mon"
-"2002-02-04" "Mon" "Mon" "Mon_Tue"
-"2002-02-05" "Tue" "Tue" "Tue_Wed"
-"2002-02-06" "Wed" "Wed" "Wed_Thu"
-"2002-02-07" "Thu" "Thu" "Thu_Fri"
-"2002-02-08" "Fri" "Fri" "Fri_Sat"
-"2002-02-09" "Sat" "Sat" "Sat_Sun"
-"2002-02-10" "Sun" "Sun" "Sun_Mon"
-"2002-02-11" "Mon" "Mon" "Mon_Tue"
-"2002-02-12" "Tue" "Tue" "Tue_Wed"
-"2002-02-13" "Wed" "Wed" "Wed_Thu"
-"2002-02-14" "Thu" "Thu" "Thu_Fri"
-"2002-02-15" "Fri" "Fri" "Fri_Sat"
-"2002-02-16" "Sat" "Sat" "Sat_Sun"
-"2002-02-17" "Sun" "Sun" "Sun_Mon"
-"2002-02-18" "Mon" "Mon" "Mon_Tue"
-"2002-02-19" "Tue" "Tue" "Tue_Wed"
-"2002-02-20" "Wed" "Wed" "Wed_Thu"
-"2002-02-21" "Thu" "Thu" "Thu_Fri"
-"2002-02-22" "Fri" "Fri" "Fri_Sat"
-"2002-02-23" "Sat" "Sat" "Sat_Sun"
-"2002-02-24" "Sun" "Sun" "Sun_Mon"
-"2002-02-25" "Mon" "Mon" "Mon_Tue"
-"2002-02-26" "Tue" "Tue" "Tue_Wed"
-"2002-02-27" "Wed" "Wed" "Wed_Thu"
-"2002-02-28" "Thu" "Thu" "Thu_Fri"
-"2002-03-01" "Fri" "Fri" "Fri_Sat"
-"2002-03-02" "Sat" "Sat" "Sat_Sun"
-"2002-03-03" "Sun" "Sun" "Sun_Mon"
-"2002-03-04" "Mon" "Mon" "Mon_Tue"
-"2002-03-05" "Tue" "Tue" "Tue_Wed"
-"2002-03-06" "Wed" "Wed" "Wed_Thu"
-"2002-03-07" "Thu" "Thu" "Thu_Fri"
-"2002-03-08" "Fri" "Fri" "Fri_Sat"
-"2002-03-09" "Sat" "Sat" "Sat_Sun"
-"2002-03-10" "Sun" "Sun" "Sun_Mon"
-"2002-03-11" "Mon" "Mon" "Mon_Tue"
-"2002-03-12" "Tue" "Tue" "Tue_Wed"
-"2002-03-13" "Wed" "Wed" "Wed_Thu"
-"2002-03-14" "Thu" "Thu" "Thu_Fri"
-"2002-03-15" "Fri" "Fri" "Fri_Sat"
-"2002-03-16" "Sat" "Sat" "Sat_Sun"
-"2002-03-17" "Sun" "Sun" "Sun_Mon"
-"2002-03-18" "Mon" "Mon" "Mon_Tue"
-"2002-03-19" "Tue" "Tue" "Tue_Wed"
-"2002-03-20" "Wed" "Wed" "Wed_Thu"
-"2002-03-21" "Thu" "Thu" "Thu_Fri"
-"2002-03-22" "Fri" "Fri" "Fri_Sat"
-"2002-03-23" "Sat" "Sat" "Sat_Sun"
-"2002-03-24" "Sun" "Sun" "Sun_Mon"
-"2002-03-25" "Mon" "Mon" "Mon_Tue"
-"2002-03-26" "Tue" "Tue" "Tue_Wed"
-"2002-03-27" "Wed" "Wed" "Wed_Thu"
-"2002-03-28" "Thu" "Thu" "Thu_Fri"
-"2002-03-29" "Fri" "Fri" "Fri_Sat"
-"2002-03-30" "Sat" "Sat" "Sat_Sun"
-"2002-03-31" "Sun" "Sun" "Sun_Hol"
-"2002-04-01" "Mon" "Hol" "Hol_Tue"
-"2002-04-02" "Tue" "Tue" "Tue_Wed"
-"2002-04-03" "Wed" "Wed" "Wed_Thu"
-"2002-04-04" "Thu" "Thu" "Thu_Fri"
-"2002-04-05" "Fri" "Fri" "Fri_Sat"
-"2002-04-06" "Sat" "Sat" "Sat_Sun"
-"2002-04-07" "Sun" "Sun" "Sun_Mon"
-"2002-04-08" "Mon" "Mon" "Mon_Tue"
-"2002-04-09" "Tue" "Tue" "Tue_Wed"
-"2002-04-10" "Wed" "Wed" "Wed_Thu"
-"2002-04-11" "Thu" "Thu" "Thu_Fri"
-"2002-04-12" "Fri" "Fri" "Fri_Sat"
-"2002-04-13" "Sat" "Sat" "Sat_Sun"
-"2002-04-14" "Sun" "Sun" "Sun_Mon"
-"2002-04-15" "Mon" "Mon" "Mon_Tue"
-"2002-04-16" "Tue" "Tue" "Tue_Wed"
-"2002-04-17" "Wed" "Wed" "Wed_Thu"
-"2002-04-18" "Thu" "Thu" "Thu_Fri"
-"2002-04-19" "Fri" "Fri" "Fri_Sat"
-"2002-04-20" "Sat" "Sat" "Sat_Sun"
-"2002-04-21" "Sun" "Sun" "Sun_Mon"
-"2002-04-22" "Mon" "Mon" "Mon_Tue"
-"2002-04-23" "Tue" "Tue" "Tue_Wed"
-"2002-04-24" "Wed" "Wed" "Wed_Thu"
-"2002-04-25" "Thu" "Thu" "Thu_Fri"
-"2002-04-26" "Fri" "Fri" "Fri_Sat"
-"2002-04-27" "Sat" "Sat" "Sat_Sun"
-"2002-04-28" "Sun" "Sun" "Sun_Mon"
-"2002-04-29" "Mon" "Mon" "Mon_Tue"
-"2002-04-30" "Tue" "Tue" "Tue_Hol"
-"2002-05-01" "Wed" "Hol" "Hol_Thu"
-"2002-05-02" "Thu" "Thu" "Thu_Fri"
-"2002-05-03" "Fri" "Fri" "Fri_Sat"
-"2002-05-04" "Sat" "Sat" "Sat_Sun"
-"2002-05-05" "Sun" "Sun" "Sun_Mon"
-"2002-05-06" "Mon" "Mon" "Mon_Tue"
-"2002-05-07" "Tue" "Tue" "Tue_Hol"
-"2002-05-08" "Wed" "Hol" "Sun_Hol"
-"2002-05-09" "Thu" "Hol" "Hol_Fri"
-"2002-05-10" "Fri" "Fri" "Fri_Sat"
-"2002-05-11" "Sat" "Sat" "Sat_Sun"
-"2002-05-12" "Sun" "Sun" "Sun_Mon"
-"2002-05-13" "Mon" "Mon" "Mon_Tue"
-"2002-05-14" "Tue" "Tue" "Tue_Wed"
-"2002-05-15" "Wed" "Wed" "Wed_Thu"
-"2002-05-16" "Thu" "Thu" "Thu_Fri"
-"2002-05-17" "Fri" "Fri" "Fri_Sat"
-"2002-05-18" "Sat" "Sat" "Sat_Sun"
-"2002-05-19" "Sun" "Sun" "Sun_Hol"
-"2002-05-20" "Mon" "Hol" "Hol_Tue"
-"2002-05-21" "Tue" "Tue" "Tue_Wed"
-"2002-05-22" "Wed" "Wed" "Wed_Thu"
-"2002-05-23" "Thu" "Thu" "Thu_Fri"
-"2002-05-24" "Fri" "Fri" "Fri_Sat"
-"2002-05-25" "Sat" "Sat" "Sat_Sun"
-"2002-05-26" "Sun" "Sun" "Sun_Mon"
-"2002-05-27" "Mon" "Mon" "Mon_Tue"
-"2002-05-28" "Tue" "Tue" "Tue_Wed"
-"2002-05-29" "Wed" "Wed" "Wed_Thu"
-"2002-05-30" "Thu" "Thu" "Thu_Fri"
-"2002-05-31" "Fri" "Fri" "Fri_Sat"
-"2002-06-01" "Sat" "Sat" "Sat_Sun"
-"2002-06-02" "Sun" "Sun" "Sun_Mon"
-"2002-06-03" "Mon" "Mon" "Mon_Tue"
-"2002-06-04" "Tue" "Tue" "Tue_Wed"
-"2002-06-05" "Wed" "Wed" "Wed_Thu"
-"2002-06-06" "Thu" "Thu" "Thu_Fri"
-"2002-06-07" "Fri" "Fri" "Fri_Sat"
-"2002-06-08" "Sat" "Sat" "Sat_Sun"
-"2002-06-09" "Sun" "Sun" "Sun_Mon"
-"2002-06-10" "Mon" "Mon" "Mon_Tue"
-"2002-06-11" "Tue" "Tue" "Tue_Wed"
-"2002-06-12" "Wed" "Wed" "Wed_Thu"
-"2002-06-13" "Thu" "Thu" "Thu_Fri"
-"2002-06-14" "Fri" "Fri" "Fri_Sat"
-"2002-06-15" "Sat" "Sat" "Sat_Sun"
-"2002-06-16" "Sun" "Sun" "Sun_Mon"
-"2002-06-17" "Mon" "Mon" "Mon_Tue"
-"2002-06-18" "Tue" "Tue" "Tue_Wed"
-"2002-06-19" "Wed" "Wed" "Wed_Thu"
-"2002-06-20" "Thu" "Thu" "Thu_Fri"
-"2002-06-21" "Fri" "Fri" "Fri_Sat"
-"2002-06-22" "Sat" "Sat" "Sat_Sun"
-"2002-06-23" "Sun" "Sun" "Sun_Mon"
-"2002-06-24" "Mon" "Mon" "Mon_Tue"
-"2002-06-25" "Tue" "Tue" "Tue_Wed"
-"2002-06-26" "Wed" "Wed" "Wed_Thu"
-"2002-06-27" "Thu" "Thu" "Thu_Fri"
-"2002-06-28" "Fri" "Fri" "Fri_Sat"
-"2002-06-29" "Sat" "Sat" "Sat_Sun"
-"2002-06-30" "Sun" "Sun" "Sun_Mon"
-"2002-07-01" "Mon" "Mon" "Mon_Tue"
-"2002-07-02" "Tue" "Tue" "Tue_Wed"
-"2002-07-03" "Wed" "Wed" "Wed_Thu"
-"2002-07-04" "Thu" "Thu" "Thu_Fri"
-"2002-07-05" "Fri" "Fri" "Fri_Sat"
-"2002-07-06" "Sat" "Sat" "Sat_Sun"
-"2002-07-07" "Sun" "Sun" "Sun_Mon"
-"2002-07-08" "Mon" "Mon" "Mon_Tue"
-"2002-07-09" "Tue" "Tue" "Tue_Wed"
-"2002-07-10" "Wed" "Wed" "Wed_Thu"
-"2002-07-11" "Thu" "Thu" "Thu_Fri"
-"2002-07-12" "Fri" "Fri" "Fri_Sat"
-"2002-07-13" "Sat" "Sat" "Sat_Hol"
-"2002-07-14" "Sun" "Hol" "Hol_Mon"
-"2002-07-15" "Mon" "Mon" "Mon_Tue"
-"2002-07-16" "Tue" "Tue" "Tue_Wed"
-"2002-07-17" "Wed" "Wed" "Wed_Thu"
-"2002-07-18" "Thu" "Thu" "Thu_Fri"
-"2002-07-19" "Fri" "Fri" "Fri_Sat"
-"2002-07-20" "Sat" "Sat" "Sat_Sun"
-"2002-07-21" "Sun" "Sun" "Sun_Mon"
-"2002-07-22" "Mon" "Mon" "Mon_Tue"
-"2002-07-23" "Tue" "Tue" "Tue_Wed"
-"2002-07-24" "Wed" "Wed" "Wed_Thu"
-"2002-07-25" "Thu" "Thu" "Thu_Fri"
-"2002-07-26" "Fri" "Fri" "Fri_Sat"
-"2002-07-27" "Sat" "Sat" "Sat_Sun"
-"2002-07-28" "Sun" "Sun" "Sun_Mon"
-"2002-07-29" "Mon" "Mon" "Mon_Tue"
-"2002-07-30" "Tue" "Tue" "Tue_Wed"
-"2002-07-31" "Wed" "Wed" "Wed_Thu"
-"2002-08-01" "Thu" "Thu" "Thu_Fri"
-"2002-08-02" "Fri" "Fri" "Fri_Sat"
-"2002-08-03" "Sat" "Sat" "Sat_Sun"
-"2002-08-04" "Sun" "Sun" "Sun_Mon"
-"2002-08-05" "Mon" "Mon" "Mon_Tue"
-"2002-08-06" "Tue" "Tue" "Tue_Wed"
-"2002-08-07" "Wed" "Wed" "Wed_Thu"
-"2002-08-08" "Thu" "Thu" "Thu_Fri"
-"2002-08-09" "Fri" "Fri" "Fri_Sat"
-"2002-08-10" "Sat" "Sat" "Sat_Sun"
-"2002-08-11" "Sun" "Sun" "Sun_Mon"
-"2002-08-12" "Mon" "Mon" "Mon_Tue"
-"2002-08-13" "Tue" "Tue" "Tue_Wed"
-"2002-08-14" "Wed" "Wed" "Wed_Hol"
-"2002-08-15" "Thu" "Hol" "Hol_Fri"
-"2002-08-16" "Fri" "Fri" "Fri_Sat"
-"2002-08-17" "Sat" "Sat" "Sat_Sun"
-"2002-08-18" "Sun" "Sun" "Sun_Mon"
-"2002-08-19" "Mon" "Mon" "Mon_Tue"
-"2002-08-20" "Tue" "Tue" "Tue_Wed"
-"2002-08-21" "Wed" "Wed" "Wed_Thu"
-"2002-08-22" "Thu" "Thu" "Thu_Fri"
-"2002-08-23" "Fri" "Fri" "Fri_Sat"
-"2002-08-24" "Sat" "Sat" "Sat_Sun"
-"2002-08-25" "Sun" "Sun" "Sun_Mon"
-"2002-08-26" "Mon" "Mon" "Mon_Tue"
-"2002-08-27" "Tue" "Tue" "Tue_Wed"
-"2002-08-28" "Wed" "Wed" "Wed_Thu"
-"2002-08-29" "Thu" "Thu" "Thu_Fri"
-"2002-08-30" "Fri" "Fri" "Fri_Sat"
-"2002-08-31" "Sat" "Sat" "Sat_Sun"
-"2002-09-01" "Sun" "Sun" "Sun_Mon"
-"2002-09-02" "Mon" "Mon" "Mon_Tue"
-"2002-09-03" "Tue" "Tue" "Tue_Wed"
-"2002-09-04" "Wed" "Wed" "Wed_Thu"
-"2002-09-05" "Thu" "Thu" "Thu_Fri"
-"2002-09-06" "Fri" "Fri" "Fri_Sat"
-"2002-09-07" "Sat" "Sat" "Sat_Sun"
-"2002-09-08" "Sun" "Sun" "Sun_Mon"
-"2002-09-09" "Mon" "Mon" "Mon_Tue"
-"2002-09-10" "Tue" "Tue" "Tue_Wed"
-"2002-09-11" "Wed" "Wed" "Wed_Thu"
-"2002-09-12" "Thu" "Thu" "Thu_Fri"
-"2002-09-13" "Fri" "Fri" "Fri_Sat"
-"2002-09-14" "Sat" "Sat" "Sat_Sun"
-"2002-09-15" "Sun" "Sun" "Sun_Mon"
-"2002-09-16" "Mon" "Mon" "Mon_Tue"
-"2002-09-17" "Tue" "Tue" "Tue_Wed"
-"2002-09-18" "Wed" "Wed" "Wed_Thu"
-"2002-09-19" "Thu" "Thu" "Thu_Fri"
-"2002-09-20" "Fri" "Fri" "Fri_Sat"
-"2002-09-21" "Sat" "Sat" "Sat_Sun"
-"2002-09-22" "Sun" "Sun" "Sun_Mon"
-"2002-09-23" "Mon" "Mon" "Mon_Tue"
-"2002-09-24" "Tue" "Tue" "Tue_Wed"
-"2002-09-25" "Wed" "Wed" "Wed_Thu"
-"2002-09-26" "Thu" "Thu" "Thu_Fri"
-"2002-09-27" "Fri" "Fri" "Fri_Sat"
-"2002-09-28" "Sat" "Sat" "Sat_Sun"
-"2002-09-29" "Sun" "Sun" "Sun_Mon"
-"2002-09-30" "Mon" "Mon" "Mon_Tue"
-"2002-10-01" "Tue" "Tue" "Tue_Wed"
-"2002-10-02" "Wed" "Wed" "Wed_Thu"
-"2002-10-03" "Thu" "Thu" "Thu_Fri"
-"2002-10-04" "Fri" "Fri" "Fri_Sat"
-"2002-10-05" "Sat" "Sat" "Sat_Sun"
-"2002-10-06" "Sun" "Sun" "Sun_Mon"
-"2002-10-07" "Mon" "Mon" "Mon_Tue"
-"2002-10-08" "Tue" "Tue" "Tue_Wed"
-"2002-10-09" "Wed" "Wed" "Wed_Thu"
-"2002-10-10" "Thu" "Thu" "Thu_Fri"
-"2002-10-11" "Fri" "Fri" "Fri_Sat"
-"2002-10-12" "Sat" "Sat" "Sat_Sun"
-"2002-10-13" "Sun" "Sun" "Sun_Mon"
-"2002-10-14" "Mon" "Mon" "Mon_Tue"
-"2002-10-15" "Tue" "Tue" "Tue_Wed"
-"2002-10-16" "Wed" "Wed" "Wed_Thu"
-"2002-10-17" "Thu" "Thu" "Thu_Fri"
-"2002-10-18" "Fri" "Fri" "Fri_Sat"
-"2002-10-19" "Sat" "Sat" "Sat_Sun"
-"2002-10-20" "Sun" "Sun" "Sun_Mon"
-"2002-10-21" "Mon" "Mon" "Mon_Tue"
-"2002-10-22" "Tue" "Tue" "Tue_Wed"
-"2002-10-23" "Wed" "Wed" "Wed_Thu"
-"2002-10-24" "Thu" "Thu" "Thu_Fri"
-"2002-10-25" "Fri" "Fri" "Fri_Sat"
-"2002-10-26" "Sat" "Sat" "Sat_Sun"
-"2002-10-27" "Sun" "Sun" "Sun_Mon"
-"2002-10-28" "Mon" "Mon" "Mon_Tue"
-"2002-10-29" "Tue" "Tue" "Tue_Wed"
-"2002-10-30" "Wed" "Wed" "Wed_Thu"
-"2002-10-31" "Thu" "Thu" "Thu_Hol"
-"2002-11-01" "Fri" "Hol" "Hol_Sat"
-"2002-11-02" "Sat" "Sat" "Sat_Sun"
-"2002-11-03" "Sun" "Sun" "Sun_Mon"
-"2002-11-04" "Mon" "Mon" "Mon_Tue"
-"2002-11-05" "Tue" "Tue" "Tue_Wed"
-"2002-11-06" "Wed" "Wed" "Wed_Thu"
-"2002-11-07" "Thu" "Thu" "Thu_Fri"
-"2002-11-08" "Fri" "Fri" "Fri_Sat"
-"2002-11-09" "Sat" "Sat" "Sat_Sun"
-"2002-11-10" "Sun" "Sun" "Sun_Hol"
-"2002-11-11" "Mon" "Hol" "Hol_Tue"
-"2002-11-12" "Tue" "Tue" "Tue_Wed"
-"2002-11-13" "Wed" "Wed" "Wed_Thu"
-"2002-11-14" "Thu" "Thu" "Thu_Fri"
-"2002-11-15" "Fri" "Fri" "Fri_Sat"
-"2002-11-16" "Sat" "Sat" "Sat_Sun"
-"2002-11-17" "Sun" "Sun" "Sun_Mon"
-"2002-11-18" "Mon" "Mon" "Mon_Tue"
-"2002-11-19" "Tue" "Tue" "Tue_Wed"
-"2002-11-20" "Wed" "Wed" "Wed_Thu"
-"2002-11-21" "Thu" "Thu" "Thu_Fri"
-"2002-11-22" "Fri" "Fri" "Fri_Sat"
-"2002-11-23" "Sat" "Sat" "Sat_Sun"
-"2002-11-24" "Sun" "Sun" "Sun_Mon"
-"2002-11-25" "Mon" "Mon" "Mon_Tue"
-"2002-11-26" "Tue" "Tue" "Tue_Wed"
-"2002-11-27" "Wed" "Wed" "Wed_Thu"
-"2002-11-28" "Thu" "Thu" "Thu_Fri"
-"2002-11-29" "Fri" "Fri" "Fri_Sat"
-"2002-11-30" "Sat" "Sat" "Sat_Sun"
-"2002-12-01" "Sun" "Sun" "Sun_Mon"
-"2002-12-02" "Mon" "Mon" "Mon_Tue"
-"2002-12-03" "Tue" "Tue" "Tue_Wed"
-"2002-12-04" "Wed" "Wed" "Wed_Thu"
-"2002-12-05" "Thu" "Thu" "Thu_Fri"
-"2002-12-06" "Fri" "Fri" "Fri_Sat"
-"2002-12-07" "Sat" "Sat" "Sat_Sun"
-"2002-12-08" "Sun" "Sun" "Sun_Mon"
-"2002-12-09" "Mon" "Mon" "Mon_Tue"
-"2002-12-10" "Tue" "Tue" "Tue_Wed"
-"2002-12-11" "Wed" "Wed" "Wed_Thu"
-"2002-12-12" "Thu" "Thu" "Thu_Fri"
-"2002-12-13" "Fri" "Fri" "Fri_Sat"
-"2002-12-14" "Sat" "Sat" "Sat_Sun"
-"2002-12-15" "Sun" "Sun" "Sun_Mon"
-"2002-12-16" "Mon" "Mon" "Mon_Tue"
-"2002-12-17" "Tue" "Tue" "Tue_Wed"
-"2002-12-18" "Wed" "Wed" "Wed_Thu"
-"2002-12-19" "Thu" "Thu" "Thu_Fri"
-"2002-12-20" "Fri" "Fri" "Fri_Sat"
-"2002-12-21" "Sat" "Sat" "Sat_Sun"
-"2002-12-22" "Sun" "Sun" "Sun_Mon"
-"2002-12-23" "Mon" "Mon" "Mon_Tue"
-"2002-12-24" "Tue" "Tue" "Tue_Hol"
-"2002-12-25" "Wed" "Hol" "Hol_Thu"
-"2002-12-26" "Thu" "Thu" "Thu_Fri"
-"2002-12-27" "Fri" "Fri" "Fri_Sat"
-"2002-12-28" "Sat" "Sat" "Sat_Sun"
-"2002-12-29" "Sun" "Sun" "Sun_Mon"
-"2002-12-30" "Mon" "Mon" "Mon_Tue"
-"2002-12-31" "Tue" "Tue" "Tue_Hol"
-"2003-01-01" "Wed" "Hol" "Hol_Thu"
-"2003-01-02" "Thu" "Thu" "Thu_Fri"
-"2003-01-03" "Fri" "Fri" "Fri_Sat"
-"2003-01-04" "Sat" "Sat" "Sat_Sun"
-"2003-01-05" "Sun" "Sun" "Sun_Mon"
-"2003-01-06" "Mon" "Mon" "Mon_Tue"
-"2003-01-07" "Tue" "Tue" "Tue_Wed"
-"2003-01-08" "Wed" "Wed" "Wed_Thu"
-"2003-01-09" "Thu" "Thu" "Thu_Fri"
-"2003-01-10" "Fri" "Fri" "Fri_Sat"
-"2003-01-11" "Sat" "Sat" "Sat_Sun"
-"2003-01-12" "Sun" "Sun" "Sun_Mon"
-"2003-01-13" "Mon" "Mon" "Mon_Tue"
-"2003-01-14" "Tue" "Tue" "Tue_Wed"
-"2003-01-15" "Wed" "Wed" "Wed_Thu"
-"2003-01-16" "Thu" "Thu" "Thu_Fri"
-"2003-01-17" "Fri" "Fri" "Fri_Sat"
-"2003-01-18" "Sat" "Sat" "Sat_Sun"
-"2003-01-19" "Sun" "Sun" "Sun_Mon"
-"2003-01-20" "Mon" "Mon" "Mon_Tue"
-"2003-01-21" "Tue" "Tue" "Tue_Wed"
-"2003-01-22" "Wed" "Wed" "Wed_Thu"
-"2003-01-23" "Thu" "Thu" "Thu_Fri"
-"2003-01-24" "Fri" "Fri" "Fri_Sat"
-"2003-01-25" "Sat" "Sat" "Sat_Sun"
-"2003-01-26" "Sun" "Sun" "Sun_Mon"
-"2003-01-27" "Mon" "Mon" "Mon_Tue"
-"2003-01-28" "Tue" "Tue" "Tue_Wed"
-"2003-01-29" "Wed" "Wed" "Wed_Thu"
-"2003-01-30" "Thu" "Thu" "Thu_Fri"
-"2003-01-31" "Fri" "Fri" "Fri_Sat"
-"2003-02-01" "Sat" "Sat" "Sat_Sun"
-"2003-02-02" "Sun" "Sun" "Sun_Mon"
-"2003-02-03" "Mon" "Mon" "Mon_Tue"
-"2003-02-04" "Tue" "Tue" "Tue_Wed"
-"2003-02-05" "Wed" "Wed" "Wed_Thu"
-"2003-02-06" "Thu" "Thu" "Thu_Fri"
-"2003-02-07" "Fri" "Fri" "Fri_Sat"
-"2003-02-08" "Sat" "Sat" "Sat_Sun"
-"2003-02-09" "Sun" "Sun" "Sun_Mon"
-"2003-02-10" "Mon" "Mon" "Mon_Tue"
-"2003-02-11" "Tue" "Tue" "Tue_Wed"
-"2003-02-12" "Wed" "Wed" "Wed_Thu"
-"2003-02-13" "Thu" "Thu" "Thu_Fri"
-"2003-02-14" "Fri" "Fri" "Fri_Sat"
-"2003-02-15" "Sat" "Sat" "Sat_Sun"
-"2003-02-16" "Sun" "Sun" "Sun_Mon"
-"2003-02-17" "Mon" "Mon" "Mon_Tue"
-"2003-02-18" "Tue" "Tue" "Tue_Wed"
-"2003-02-19" "Wed" "Wed" "Wed_Thu"
-"2003-02-20" "Thu" "Thu" "Thu_Fri"
-"2003-02-21" "Fri" "Fri" "Fri_Sat"
-"2003-02-22" "Sat" "Sat" "Sat_Sun"
-"2003-02-23" "Sun" "Sun" "Sun_Mon"
-"2003-02-24" "Mon" "Mon" "Mon_Tue"
-"2003-02-25" "Tue" "Tue" "Tue_Wed"
-"2003-02-26" "Wed" "Wed" "Wed_Thu"
-"2003-02-27" "Thu" "Thu" "Thu_Fri"
-"2003-02-28" "Fri" "Fri" "Fri_Sat"
-"2003-03-01" "Sat" "Sat" "Sat_Sun"
-"2003-03-02" "Sun" "Sun" "Sun_Mon"
-"2003-03-03" "Mon" "Mon" "Mon_Tue"
-"2003-03-04" "Tue" "Tue" "Tue_Wed"
-"2003-03-05" "Wed" "Wed" "Wed_Thu"
-"2003-03-06" "Thu" "Thu" "Thu_Fri"
-"2003-03-07" "Fri" "Fri" "Fri_Sat"
-"2003-03-08" "Sat" "Sat" "Sat_Sun"
-"2003-03-09" "Sun" "Sun" "Sun_Mon"
-"2003-03-10" "Mon" "Mon" "Mon_Tue"
-"2003-03-11" "Tue" "Tue" "Tue_Wed"
-"2003-03-12" "Wed" "Wed" "Wed_Thu"
-"2003-03-13" "Thu" "Thu" "Thu_Fri"
-"2003-03-14" "Fri" "Fri" "Fri_Sat"
-"2003-03-15" "Sat" "Sat" "Sat_Sun"
-"2003-03-16" "Sun" "Sun" "Sun_Mon"
-"2003-03-17" "Mon" "Mon" "Mon_Tue"
-"2003-03-18" "Tue" "Tue" "Tue_Wed"
-"2003-03-19" "Wed" "Wed" "Wed_Thu"
-"2003-03-20" "Thu" "Thu" "Thu_Fri"
-"2003-03-21" "Fri" "Fri" "Fri_Sat"
-"2003-03-22" "Sat" "Sat" "Sat_Sun"
-"2003-03-23" "Sun" "Sun" "Sun_Mon"
-"2003-03-24" "Mon" "Mon" "Mon_Tue"
-"2003-03-25" "Tue" "Tue" "Tue_Wed"
-"2003-03-26" "Wed" "Wed" "Wed_Thu"
-"2003-03-27" "Thu" "Thu" "Thu_Fri"
-"2003-03-28" "Fri" "Fri" "Fri_Sat"
-"2003-03-29" "Sat" "Sat" "Sat_Sun"
-"2003-03-30" "Sun" "Sun" "Sun_Mon"
-"2003-03-31" "Mon" "Mon" "Mon_Tue"
-"2003-04-01" "Tue" "Tue" "Tue_Wed"
-"2003-04-02" "Wed" "Wed" "Wed_Thu"
-"2003-04-03" "Thu" "Thu" "Thu_Fri"
-"2003-04-04" "Fri" "Fri" "Fri_Sat"
-"2003-04-05" "Sat" "Sat" "Sat_Sun"
-"2003-04-06" "Sun" "Sun" "Sun_Mon"
-"2003-04-07" "Mon" "Mon" "Mon_Tue"
-"2003-04-08" "Tue" "Tue" "Tue_Wed"
-"2003-04-09" "Wed" "Wed" "Wed_Thu"
-"2003-04-10" "Thu" "Thu" "Thu_Fri"
-"2003-04-11" "Fri" "Fri" "Fri_Sat"
-"2003-04-12" "Sat" "Sat" "Sat_Sun"
-"2003-04-13" "Sun" "Sun" "Sun_Mon"
-"2003-04-14" "Mon" "Mon" "Mon_Tue"
-"2003-04-15" "Tue" "Tue" "Tue_Wed"
-"2003-04-16" "Wed" "Wed" "Wed_Thu"
-"2003-04-17" "Thu" "Thu" "Thu_Fri"
-"2003-04-18" "Fri" "Fri" "Fri_Sat"
-"2003-04-19" "Sat" "Sat" "Sat_Sun"
-"2003-04-20" "Sun" "Sun" "Sun_Hol"
-"2003-04-21" "Mon" "Hol" "Hol_Tue"
-"2003-04-22" "Tue" "Tue" "Tue_Wed"
-"2003-04-23" "Wed" "Wed" "Wed_Thu"
-"2003-04-24" "Thu" "Thu" "Thu_Fri"
-"2003-04-25" "Fri" "Fri" "Fri_Sat"
-"2003-04-26" "Sat" "Sat" "Sat_Sun"
-"2003-04-27" "Sun" "Sun" "Sun_Mon"
-"2003-04-28" "Mon" "Mon" "Mon_Tue"
-"2003-04-29" "Tue" "Tue" "Tue_Wed"
-"2003-04-30" "Wed" "Wed" "Wed_Hol"
-"2003-05-01" "Thu" "Hol" "Hol_Fri"
-"2003-05-02" "Fri" "Fri" "Fri_Sat"
-"2003-05-03" "Sat" "Sat" "Sat_Sun"
-"2003-05-04" "Sun" "Sun" "Sun_Mon"
-"2003-05-05" "Mon" "Mon" "Mon_Tue"
-"2003-05-06" "Tue" "Tue" "Tue_Wed"
-"2003-05-07" "Wed" "Wed" "Wed_Hol"
-"2003-05-08" "Thu" "Hol" "Hol_Fri"
-"2003-05-09" "Fri" "Fri" "Fri_Sat"
-"2003-05-10" "Sat" "Sat" "Sat_Sun"
-"2003-05-11" "Sun" "Sun" "Sun_Mon"
-"2003-05-12" "Mon" "Mon" "Mon_Tue"
-"2003-05-13" "Tue" "Tue" "Tue_Wed"
-"2003-05-14" "Wed" "Wed" "Wed_Thu"
-"2003-05-15" "Thu" "Thu" "Thu_Fri"
-"2003-05-16" "Fri" "Fri" "Fri_Sat"
-"2003-05-17" "Sat" "Sat" "Sat_Sun"
-"2003-05-18" "Sun" "Sun" "Sun_Mon"
-"2003-05-19" "Mon" "Mon" "Mon_Tue"
-"2003-05-20" "Tue" "Tue" "Tue_Wed"
-"2003-05-21" "Wed" "Wed" "Wed_Thu"
-"2003-05-22" "Thu" "Thu" "Thu_Fri"
-"2003-05-23" "Fri" "Fri" "Fri_Sat"
-"2003-05-24" "Sat" "Sat" "Sat_Sun"
-"2003-05-25" "Sun" "Sun" "Sun_Mon"
-"2003-05-26" "Mon" "Mon" "Mon_Tue"
-"2003-05-27" "Tue" "Tue" "Tue_Wed"
-"2003-05-28" "Wed" "Wed" "Wed_Hol"
-"2003-05-29" "Thu" "Hol" "Hol_Fri"
-"2003-05-30" "Fri" "Fri" "Fri_Sat"
-"2003-05-31" "Sat" "Sat" "Sat_Sun"
-"2003-06-01" "Sun" "Sun" "Sun_Mon"
-"2003-06-02" "Mon" "Mon" "Mon_Tue"
-"2003-06-03" "Tue" "Tue" "Tue_Wed"
-"2003-06-04" "Wed" "Wed" "Wed_Thu"
-"2003-06-05" "Thu" "Thu" "Thu_Fri"
-"2003-06-06" "Fri" "Fri" "Fri_Sat"
-"2003-06-07" "Sat" "Sat" "Sat_Sun"
-"2003-06-08" "Sun" "Sun" "Sun_Hol"
-"2003-06-09" "Mon" "Hol" "Hol_Tue"
-"2003-06-10" "Tue" "Tue" "Tue_Wed"
-"2003-06-11" "Wed" "Wed" "Wed_Thu"
-"2003-06-12" "Thu" "Thu" "Thu_Fri"
-"2003-06-13" "Fri" "Fri" "Fri_Sat"
-"2003-06-14" "Sat" "Sat" "Sat_Sun"
-"2003-06-15" "Sun" "Sun" "Sun_Mon"
-"2003-06-16" "Mon" "Mon" "Mon_Tue"
-"2003-06-17" "Tue" "Tue" "Tue_Wed"
-"2003-06-18" "Wed" "Wed" "Wed_Thu"
-"2003-06-19" "Thu" "Thu" "Thu_Fri"
-"2003-06-20" "Fri" "Fri" "Fri_Sat"
-"2003-06-21" "Sat" "Sat" "Sat_Sun"
-"2003-06-22" "Sun" "Sun" "Sun_Mon"
-"2003-06-23" "Mon" "Mon" "Mon_Tue"
-"2003-06-24" "Tue" "Tue" "Tue_Wed"
-"2003-06-25" "Wed" "Wed" "Wed_Thu"
-"2003-06-26" "Thu" "Thu" "Thu_Fri"
-"2003-06-27" "Fri" "Fri" "Fri_Sat"
-"2003-06-28" "Sat" "Sat" "Sat_Sun"
-"2003-06-29" "Sun" "Sun" "Sun_Mon"
-"2003-06-30" "Mon" "Mon" "Mon_Tue"
-"2003-07-01" "Tue" "Tue" "Tue_Wed"
-"2003-07-02" "Wed" "Wed" "Wed_Thu"
-"2003-07-03" "Thu" "Thu" "Thu_Fri"
-"2003-07-04" "Fri" "Fri" "Fri_Sat"
-"2003-07-05" "Sat" "Sat" "Sat_Sun"
-"2003-07-06" "Sun" "Sun" "Sun_Mon"
-"2003-07-07" "Mon" "Mon" "Mon_Tue"
-"2003-07-08" "Tue" "Tue" "Tue_Wed"
-"2003-07-09" "Wed" "Wed" "Wed_Thu"
-"2003-07-10" "Thu" "Thu" "Thu_Fri"
-"2003-07-11" "Fri" "Fri" "Fri_Sat"
-"2003-07-12" "Sat" "Sat" "Sat_Sun"
-"2003-07-13" "Sun" "Sun" "Sun_Hol"
-"2003-07-14" "Mon" "Hol" "Hol_Tue"
-"2003-07-15" "Tue" "Tue" "Tue_Wed"
-"2003-07-16" "Wed" "Wed" "Wed_Thu"
-"2003-07-17" "Thu" "Thu" "Thu_Fri"
-"2003-07-18" "Fri" "Fri" "Fri_Sat"
-"2003-07-19" "Sat" "Sat" "Sat_Sun"
-"2003-07-20" "Sun" "Sun" "Sun_Mon"
-"2003-07-21" "Mon" "Mon" "Mon_Tue"
-"2003-07-22" "Tue" "Tue" "Tue_Wed"
-"2003-07-23" "Wed" "Wed" "Wed_Thu"
-"2003-07-24" "Thu" "Thu" "Thu_Fri"
-"2003-07-25" "Fri" "Fri" "Fri_Sat"
-"2003-07-26" "Sat" "Sat" "Sat_Sun"
-"2003-07-27" "Sun" "Sun" "Sun_Mon"
-"2003-07-28" "Mon" "Mon" "Mon_Tue"
-"2003-07-29" "Tue" "Tue" "Tue_Wed"
-"2003-07-30" "Wed" "Wed" "Wed_Thu"
-"2003-07-31" "Thu" "Thu" "Thu_Fri"
-"2003-08-01" "Fri" "Fri" "Fri_Sat"
-"2003-08-02" "Sat" "Sat" "Sat_Sun"
-"2003-08-03" "Sun" "Sun" "Sun_Mon"
-"2003-08-04" "Mon" "Mon" "Mon_Tue"
-"2003-08-05" "Tue" "Tue" "Tue_Wed"
-"2003-08-06" "Wed" "Wed" "Wed_Thu"
-"2003-08-07" "Thu" "Thu" "Thu_Fri"
-"2003-08-08" "Fri" "Fri" "Fri_Sat"
-"2003-08-09" "Sat" "Sat" "Sat_Sun"
-"2003-08-10" "Sun" "Sun" "Sun_Mon"
-"2003-08-11" "Mon" "Mon" "Mon_Tue"
-"2003-08-12" "Tue" "Tue" "Tue_Wed"
-"2003-08-13" "Wed" "Wed" "Wed_Thu"
-"2003-08-14" "Thu" "Thu" "Thu_Hol"
-"2003-08-15" "Fri" "Hol" "Hol_Sat"
-"2003-08-16" "Sat" "Sat" "Sat_Sun"
-"2003-08-17" "Sun" "Sun" "Sun_Mon"
-"2003-08-18" "Mon" "Mon" "Mon_Tue"
-"2003-08-19" "Tue" "Tue" "Tue_Wed"
-"2003-08-20" "Wed" "Wed" "Wed_Thu"
-"2003-08-21" "Thu" "Thu" "Thu_Fri"
-"2003-08-22" "Fri" "Fri" "Fri_Sat"
-"2003-08-23" "Sat" "Sat" "Sat_Sun"
-"2003-08-24" "Sun" "Sun" "Sun_Mon"
-"2003-08-25" "Mon" "Mon" "Mon_Tue"
-"2003-08-26" "Tue" "Tue" "Tue_Wed"
-"2003-08-27" "Wed" "Wed" "Wed_Thu"
-"2003-08-28" "Thu" "Thu" "Thu_Fri"
-"2003-08-29" "Fri" "Fri" "Fri_Sat"
-"2003-08-30" "Sat" "Sat" "Sat_Sun"
-"2003-08-31" "Sun" "Sun" "Sun_Mon"
-"2003-09-01" "Mon" "Mon" "Mon_Tue"
-"2003-09-02" "Tue" "Tue" "Tue_Wed"
-"2003-09-03" "Wed" "Wed" "Wed_Thu"
-"2003-09-04" "Thu" "Thu" "Thu_Fri"
-"2003-09-05" "Fri" "Fri" "Fri_Sat"
-"2003-09-06" "Sat" "Sat" "Sat_Sun"
-"2003-09-07" "Sun" "Sun" "Sun_Mon"
-"2003-09-08" "Mon" "Mon" "Mon_Tue"
-"2003-09-09" "Tue" "Tue" "Tue_Wed"
-"2003-09-10" "Wed" "Wed" "Wed_Thu"
-"2003-09-11" "Thu" "Thu" "Thu_Fri"
-"2003-09-12" "Fri" "Fri" "Fri_Sat"
-"2003-09-13" "Sat" "Sat" "Sat_Sun"
-"2003-09-14" "Sun" "Sun" "Sun_Mon"
-"2003-09-15" "Mon" "Mon" "Mon_Tue"
-"2003-09-16" "Tue" "Tue" "Tue_Wed"
-"2003-09-17" "Wed" "Wed" "Wed_Thu"
-"2003-09-18" "Thu" "Thu" "Thu_Fri"
-"2003-09-19" "Fri" "Fri" "Fri_Sat"
-"2003-09-20" "Sat" "Sat" "Sat_Sun"
-"2003-09-21" "Sun" "Sun" "Sun_Mon"
-"2003-09-22" "Mon" "Mon" "Mon_Tue"
-"2003-09-23" "Tue" "Tue" "Tue_Wed"
-"2003-09-24" "Wed" "Wed" "Wed_Thu"
-"2003-09-25" "Thu" "Thu" "Thu_Fri"
-"2003-09-26" "Fri" "Fri" "Fri_Sat"
-"2003-09-27" "Sat" "Sat" "Sat_Sun"
-"2003-09-28" "Sun" "Sun" "Sun_Mon"
-"2003-09-29" "Mon" "Mon" "Mon_Tue"
-"2003-09-30" "Tue" "Tue" "Tue_Wed"
-"2003-10-01" "Wed" "Wed" "Wed_Thu"
-"2003-10-02" "Thu" "Thu" "Thu_Fri"
-"2003-10-03" "Fri" "Fri" "Fri_Sat"
-"2003-10-04" "Sat" "Sat" "Sat_Sun"
-"2003-10-05" "Sun" "Sun" "Sun_Mon"
-"2003-10-06" "Mon" "Mon" "Mon_Tue"
-"2003-10-07" "Tue" "Tue" "Tue_Wed"
-"2003-10-08" "Wed" "Wed" "Wed_Thu"
-"2003-10-09" "Thu" "Thu" "Thu_Fri"
-"2003-10-10" "Fri" "Fri" "Fri_Sat"
-"2003-10-11" "Sat" "Sat" "Sat_Sun"
-"2003-10-12" "Sun" "Sun" "Sun_Mon"
-"2003-10-13" "Mon" "Mon" "Mon_Tue"
-"2003-10-14" "Tue" "Tue" "Tue_Wed"
-"2003-10-15" "Wed" "Wed" "Wed_Thu"
-"2003-10-16" "Thu" "Thu" "Thu_Fri"
-"2003-10-17" "Fri" "Fri" "Fri_Sat"
-"2003-10-18" "Sat" "Sat" "Sat_Sun"
-"2003-10-19" "Sun" "Sun" "Sun_Mon"
-"2003-10-20" "Mon" "Mon" "Mon_Tue"
-"2003-10-21" "Tue" "Tue" "Tue_Wed"
-"2003-10-22" "Wed" "Wed" "Wed_Thu"
-"2003-10-23" "Thu" "Thu" "Thu_Fri"
-"2003-10-24" "Fri" "Fri" "Fri_Sat"
-"2003-10-25" "Sat" "Sat" "Sat_Sun"
-"2003-10-26" "Sun" "Sun" "Sun_Mon"
-"2003-10-27" "Mon" "Mon" "Mon_Tue"
-"2003-10-28" "Tue" "Tue" "Tue_Wed"
-"2003-10-29" "Wed" "Wed" "Wed_Thu"
-"2003-10-30" "Thu" "Thu" "Thu_Fri"
-"2003-10-31" "Fri" "Fri" "Fri_Hol"
-"2003-11-01" "Sat" "Hol" "Hol_Sun"
-"2003-11-02" "Sun" "Sun" "Sun_Mon"
-"2003-11-03" "Mon" "Mon" "Mon_Tue"
-"2003-11-04" "Tue" "Tue" "Tue_Wed"
-"2003-11-05" "Wed" "Wed" "Wed_Thu"
-"2003-11-06" "Thu" "Thu" "Thu_Fri"
-"2003-11-07" "Fri" "Fri" "Fri_Sat"
-"2003-11-08" "Sat" "Sat" "Sat_Sun"
-"2003-11-09" "Sun" "Sun" "Sun_Mon"
-"2003-11-10" "Mon" "Mon" "Mon_Hol"
-"2003-11-11" "Tue" "Hol" "Hol_Wed"
-"2003-11-12" "Wed" "Wed" "Wed_Thu"
-"2003-11-13" "Thu" "Thu" "Thu_Fri"
-"2003-11-14" "Fri" "Fri" "Fri_Sat"
-"2003-11-15" "Sat" "Sat" "Sat_Sun"
-"2003-11-16" "Sun" "Sun" "Sun_Mon"
-"2003-11-17" "Mon" "Mon" "Mon_Tue"
-"2003-11-18" "Tue" "Tue" "Tue_Wed"
-"2003-11-19" "Wed" "Wed" "Wed_Thu"
-"2003-11-20" "Thu" "Thu" "Thu_Fri"
-"2003-11-21" "Fri" "Fri" "Fri_Sat"
-"2003-11-22" "Sat" "Sat" "Sat_Sun"
-"2003-11-23" "Sun" "Sun" "Sun_Mon"
-"2003-11-24" "Mon" "Mon" "Mon_Tue"
-"2003-11-25" "Tue" "Tue" "Tue_Wed"
-"2003-11-26" "Wed" "Wed" "Wed_Thu"
-"2003-11-27" "Thu" "Thu" "Thu_Fri"
-"2003-11-28" "Fri" "Fri" "Fri_Sat"
-"2003-11-29" "Sat" "Sat" "Sat_Sun"
-"2003-11-30" "Sun" "Sun" "Sun_Mon"
-"2003-12-01" "Mon" "Mon" "Mon_Tue"
-"2003-12-02" "Tue" "Tue" "Tue_Wed"
-"2003-12-03" "Wed" "Wed" "Wed_Thu"
-"2003-12-04" "Thu" "Thu" "Thu_Fri"
-"2003-12-05" "Fri" "Fri" "Fri_Sat"
-"2003-12-06" "Sat" "Sat" "Sat_Sun"
-"2003-12-07" "Sun" "Sun" "Sun_Mon"
-"2003-12-08" "Mon" "Mon" "Mon_Tue"
-"2003-12-09" "Tue" "Tue" "Tue_Wed"
-"2003-12-10" "Wed" "Wed" "Wed_Thu"
-"2003-12-11" "Thu" "Thu" "Thu_Fri"
-"2003-12-12" "Fri" "Fri" "Fri_Sat"
-"2003-12-13" "Sat" "Sat" "Sat_Sun"
-"2003-12-14" "Sun" "Sun" "Sun_Mon"
-"2003-12-15" "Mon" "Mon" "Mon_Tue"
-"2003-12-16" "Tue" "Tue" "Tue_Wed"
-"2003-12-17" "Wed" "Wed" "Wed_Thu"
-"2003-12-18" "Thu" "Thu" "Thu_Fri"
-"2003-12-19" "Fri" "Fri" "Fri_Sat"
-"2003-12-20" "Sat" "Sat" "Sat_Sun"
-"2003-12-21" "Sun" "Sun" "Sun_Mon"
-"2003-12-22" "Mon" "Mon" "Mon_Tue"
-"2003-12-23" "Tue" "Tue" "Tue_Wed"
-"2003-12-24" "Wed" "Wed" "Wed_Hol"
-"2003-12-25" "Thu" "Hol" "Hol_Fri"
-"2003-12-26" "Fri" "Fri" "Fri_Sat"
-"2003-12-27" "Sat" "Sat" "Sat_Sun"
-"2003-12-28" "Sun" "Sun" "Sun_Mon"
-"2003-12-29" "Mon" "Mon" "Mon_Tue"
-"2003-12-30" "Tue" "Tue" "Tue_Wed"
-"2003-12-31" "Wed" "Wed" "Wed_Hol"
-"2004-01-01" "Thu" "Hol" "Hol_Fri"
-"2004-01-02" "Fri" "Fri" "Fri_Sat"
-"2004-01-03" "Sat" "Sat" "Sat_Sun"
-"2004-01-04" "Sun" "Sun" "Sun_Mon"
-"2004-01-05" "Mon" "Mon" "Mon_Tue"
-"2004-01-06" "Tue" "Tue" "Tue_Wed"
-"2004-01-07" "Wed" "Wed" "Wed_Thu"
-"2004-01-08" "Thu" "Thu" "Thu_Fri"
-"2004-01-09" "Fri" "Fri" "Fri_Sat"
-"2004-01-10" "Sat" "Sat" "Sat_Sun"
-"2004-01-11" "Sun" "Sun" "Sun_Mon"
-"2004-01-12" "Mon" "Mon" "Mon_Tue"
-"2004-01-13" "Tue" "Tue" "Tue_Wed"
-"2004-01-14" "Wed" "Wed" "Wed_Thu"
-"2004-01-15" "Thu" "Thu" "Thu_Fri"
-"2004-01-16" "Fri" "Fri" "Fri_Sat"
-"2004-01-17" "Sat" "Sat" "Sat_Sun"
-"2004-01-18" "Sun" "Sun" "Sun_Mon"
-"2004-01-19" "Mon" "Mon" "Mon_Tue"
-"2004-01-20" "Tue" "Tue" "Tue_Wed"
-"2004-01-21" "Wed" "Wed" "Wed_Thu"
-"2004-01-22" "Thu" "Thu" "Thu_Fri"
-"2004-01-23" "Fri" "Fri" "Fri_Sat"
-"2004-01-24" "Sat" "Sat" "Sat_Sun"
-"2004-01-25" "Sun" "Sun" "Sun_Mon"
-"2004-01-26" "Mon" "Mon" "Mon_Tue"
-"2004-01-27" "Tue" "Tue" "Tue_Wed"
-"2004-01-28" "Wed" "Wed" "Wed_Thu"
-"2004-01-29" "Thu" "Thu" "Thu_Fri"
-"2004-01-30" "Fri" "Fri" "Fri_Sat"
-"2004-01-31" "Sat" "Sat" "Sat_Sun"
-"2004-02-01" "Sun" "Sun" "Sun_Mon"
-"2004-02-02" "Mon" "Mon" "Mon_Tue"
-"2004-02-03" "Tue" "Tue" "Tue_Wed"
-"2004-02-04" "Wed" "Wed" "Wed_Thu"
-"2004-02-05" "Thu" "Thu" "Thu_Fri"
-"2004-02-06" "Fri" "Fri" "Fri_Sat"
-"2004-02-07" "Sat" "Sat" "Sat_Sun"
-"2004-02-08" "Sun" "Sun" "Sun_Mon"
-"2004-02-09" "Mon" "Mon" "Mon_Tue"
-"2004-02-10" "Tue" "Tue" "Tue_Wed"
-"2004-02-11" "Wed" "Wed" "Wed_Thu"
-"2004-02-12" "Thu" "Thu" "Thu_Fri"
-"2004-02-13" "Fri" "Fri" "Fri_Sat"
-"2004-02-14" "Sat" "Sat" "Sat_Sun"
-"2004-02-15" "Sun" "Sun" "Sun_Mon"
-"2004-02-16" "Mon" "Mon" "Mon_Tue"
-"2004-02-17" "Tue" "Tue" "Tue_Wed"
-"2004-02-18" "Wed" "Wed" "Wed_Thu"
-"2004-02-19" "Thu" "Thu" "Thu_Fri"
-"2004-02-20" "Fri" "Fri" "Fri_Sat"
-"2004-02-21" "Sat" "Sat" "Sat_Sun"
-"2004-02-22" "Sun" "Sun" "Sun_Mon"
-"2004-02-23" "Mon" "Mon" "Mon_Tue"
-"2004-02-24" "Tue" "Tue" "Tue_Wed"
-"2004-02-25" "Wed" "Wed" "Wed_Thu"
-"2004-02-26" "Thu" "Thu" "Thu_Fri"
-"2004-02-27" "Fri" "Fri" "Fri_Sat"
-"2004-02-28" "Sat" "Sat" "Sat_Sun"
-"2004-02-29" "Sun" "Sun" "Sun_Mon"
-"2004-03-01" "Mon" "Mon" "Mon_Tue"
-"2004-03-02" "Tue" "Tue" "Tue_Wed"
-"2004-03-03" "Wed" "Wed" "Wed_Thu"
-"2004-03-04" "Thu" "Thu" "Thu_Fri"
-"2004-03-05" "Fri" "Fri" "Fri_Sat"
-"2004-03-06" "Sat" "Sat" "Sat_Sun"
-"2004-03-07" "Sun" "Sun" "Sun_Mon"
-"2004-03-08" "Mon" "Mon" "Mon_Tue"
-"2004-03-09" "Tue" "Tue" "Tue_Wed"
-"2004-03-10" "Wed" "Wed" "Wed_Thu"
-"2004-03-11" "Thu" "Thu" "Thu_Fri"
-"2004-03-12" "Fri" "Fri" "Fri_Sat"
-"2004-03-13" "Sat" "Sat" "Sat_Sun"
-"2004-03-14" "Sun" "Sun" "Sun_Mon"
-"2004-03-15" "Mon" "Mon" "Mon_Tue"
-"2004-03-16" "Tue" "Tue" "Tue_Wed"
-"2004-03-17" "Wed" "Wed" "Wed_Thu"
-"2004-03-18" "Thu" "Thu" "Thu_Fri"
-"2004-03-19" "Fri" "Fri" "Fri_Sat"
-"2004-03-20" "Sat" "Sat" "Sat_Sun"
-"2004-03-21" "Sun" "Sun" "Sun_Mon"
-"2004-03-22" "Mon" "Mon" "Mon_Tue"
-"2004-03-23" "Tue" "Tue" "Tue_Wed"
-"2004-03-24" "Wed" "Wed" "Wed_Thu"
-"2004-03-25" "Thu" "Thu" "Thu_Fri"
-"2004-03-26" "Fri" "Fri" "Fri_Sat"
-"2004-03-27" "Sat" "Sat" "Sat_Sun"
-"2004-03-28" "Sun" "Sun" "Sun_Mon"
-"2004-03-29" "Mon" "Mon" "Mon_Tue"
-"2004-03-30" "Tue" "Tue" "Tue_Wed"
-"2004-03-31" "Wed" "Wed" "Wed_Thu"
-"2004-04-01" "Thu" "Thu" "Thu_Fri"
-"2004-04-02" "Fri" "Fri" "Fri_Sat"
-"2004-04-03" "Sat" "Sat" "Sat_Sun"
-"2004-04-04" "Sun" "Sun" "Sun_Mon"
-"2004-04-05" "Mon" "Mon" "Mon_Tue"
-"2004-04-06" "Tue" "Tue" "Tue_Wed"
-"2004-04-07" "Wed" "Wed" "Wed_Thu"
-"2004-04-08" "Thu" "Thu" "Thu_Fri"
-"2004-04-09" "Fri" "Fri" "Fri_Sat"
-"2004-04-10" "Sat" "Sat" "Sat_Sun"
-"2004-04-11" "Sun" "Sun" "Sun_Hol"
-"2004-04-12" "Mon" "Hol" "Hol_Tue"
-"2004-04-13" "Tue" "Tue" "Tue_Wed"
-"2004-04-14" "Wed" "Wed" "Wed_Thu"
-"2004-04-15" "Thu" "Thu" "Thu_Fri"
-"2004-04-16" "Fri" "Fri" "Fri_Sat"
-"2004-04-17" "Sat" "Sat" "Sat_Sun"
-"2004-04-18" "Sun" "Sun" "Sun_Mon"
-"2004-04-19" "Mon" "Mon" "Mon_Tue"
-"2004-04-20" "Tue" "Tue" "Tue_Wed"
-"2004-04-21" "Wed" "Wed" "Wed_Thu"
-"2004-04-22" "Thu" "Thu" "Thu_Fri"
-"2004-04-23" "Fri" "Fri" "Fri_Sat"
-"2004-04-24" "Sat" "Sat" "Sat_Sun"
-"2004-04-25" "Sun" "Sun" "Sun_Mon"
-"2004-04-26" "Mon" "Mon" "Mon_Tue"
-"2004-04-27" "Tue" "Tue" "Tue_Wed"
-"2004-04-28" "Wed" "Wed" "Wed_Thu"
-"2004-04-29" "Thu" "Thu" "Thu_Fri"
-"2004-04-30" "Fri" "Fri" "Fri_Hol"
-"2004-05-01" "Sat" "Hol" "Hol_Sun"
-"2004-05-02" "Sun" "Sun" "Sun_Mon"
-"2004-05-03" "Mon" "Mon" "Mon_Tue"
-"2004-05-04" "Tue" "Tue" "Tue_Wed"
-"2004-05-05" "Wed" "Wed" "Wed_Thu"
-"2004-05-06" "Thu" "Thu" "Thu_Fri"
-"2004-05-07" "Fri" "Fri" "Fri_Hol"
-"2004-05-08" "Sat" "Hol" "Hol_Sun"
-"2004-05-09" "Sun" "Sun" "Sun_Mon"
-"2004-05-10" "Mon" "Mon" "Mon_Tue"
-"2004-05-11" "Tue" "Tue" "Tue_Wed"
-"2004-05-12" "Wed" "Wed" "Wed_Thu"
-"2004-05-13" "Thu" "Thu" "Thu_Fri"
-"2004-05-14" "Fri" "Fri" "Fri_Sat"
-"2004-05-15" "Sat" "Sat" "Sat_Sun"
-"2004-05-16" "Sun" "Sun" "Sun_Mon"
-"2004-05-17" "Mon" "Mon" "Mon_Tue"
-"2004-05-18" "Tue" "Tue" "Tue_Wed"
-"2004-05-19" "Wed" "Wed" "Wed_Hol"
-"2004-05-20" "Thu" "Hol" "Hol_Fri"
-"2004-05-21" "Fri" "Fri" "Fri_Sat"
-"2004-05-22" "Sat" "Sat" "Sat_Sun"
-"2004-05-23" "Sun" "Sun" "Sun_Mon"
-"2004-05-24" "Mon" "Mon" "Mon_Tue"
-"2004-05-25" "Tue" "Tue" "Tue_Wed"
-"2004-05-26" "Wed" "Wed" "Wed_Thu"
-"2004-05-27" "Thu" "Thu" "Thu_Fri"
-"2004-05-28" "Fri" "Fri" "Fri_Sat"
-"2004-05-29" "Sat" "Sat" "Sat_Sun"
-"2004-05-30" "Sun" "Sun" "Sun_Hol"
-"2004-05-31" "Mon" "Hol" "Hol_Tue"
-"2004-06-01" "Tue" "Tue" "Tue_Wed"
-"2004-06-02" "Wed" "Wed" "Wed_Thu"
-"2004-06-03" "Thu" "Thu" "Thu_Fri"
-"2004-06-04" "Fri" "Fri" "Fri_Sat"
-"2004-06-05" "Sat" "Sat" "Sat_Sun"
-"2004-06-06" "Sun" "Sun" "Sun_Mon"
-"2004-06-07" "Mon" "Mon" "Mon_Tue"
-"2004-06-08" "Tue" "Tue" "Tue_Wed"
-"2004-06-09" "Wed" "Wed" "Wed_Thu"
-"2004-06-10" "Thu" "Thu" "Thu_Fri"
-"2004-06-11" "Fri" "Fri" "Fri_Sat"
-"2004-06-12" "Sat" "Sat" "Sat_Sun"
-"2004-06-13" "Sun" "Sun" "Sun_Mon"
-"2004-06-14" "Mon" "Mon" "Mon_Tue"
-"2004-06-15" "Tue" "Tue" "Tue_Wed"
-"2004-06-16" "Wed" "Wed" "Wed_Thu"
-"2004-06-17" "Thu" "Thu" "Thu_Fri"
-"2004-06-18" "Fri" "Fri" "Fri_Sat"
-"2004-06-19" "Sat" "Sat" "Sat_Sun"
-"2004-06-20" "Sun" "Sun" "Sun_Mon"
-"2004-06-21" "Mon" "Mon" "Mon_Tue"
-"2004-06-22" "Tue" "Tue" "Tue_Wed"
-"2004-06-23" "Wed" "Wed" "Wed_Thu"
-"2004-06-24" "Thu" "Thu" "Thu_Fri"
-"2004-06-25" "Fri" "Fri" "Fri_Sat"
-"2004-06-26" "Sat" "Sat" "Sat_Sun"
-"2004-06-27" "Sun" "Sun" "Sun_Mon"
-"2004-06-28" "Mon" "Mon" "Mon_Tue"
-"2004-06-29" "Tue" "Tue" "Tue_Wed"
-"2004-06-30" "Wed" "Wed" "Wed_Thu"
-"2004-07-01" "Thu" "Thu" "Thu_Fri"
-"2004-07-02" "Fri" "Fri" "Fri_Sat"
-"2004-07-03" "Sat" "Sat" "Sat_Sun"
-"2004-07-04" "Sun" "Sun" "Sun_Mon"
-"2004-07-05" "Mon" "Mon" "Mon_Tue"
-"2004-07-06" "Tue" "Tue" "Tue_Wed"
-"2004-07-07" "Wed" "Wed" "Wed_Thu"
-"2004-07-08" "Thu" "Thu" "Thu_Fri"
-"2004-07-09" "Fri" "Fri" "Fri_Sat"
-"2004-07-10" "Sat" "Sat" "Sat_Sun"
-"2004-07-11" "Sun" "Sun" "Sun_Mon"
-"2004-07-12" "Mon" "Mon" "Mon_Tue"
-"2004-07-13" "Tue" "Tue" "Tue_Hol"
-"2004-07-14" "Wed" "Hol" "Hol_Thu"
-"2004-07-15" "Thu" "Thu" "Thu_Fri"
-"2004-07-16" "Fri" "Fri" "Fri_Sat"
-"2004-07-17" "Sat" "Sat" "Sat_Sun"
-"2004-07-18" "Sun" "Sun" "Sun_Mon"
-"2004-07-19" "Mon" "Mon" "Mon_Tue"
-"2004-07-20" "Tue" "Tue" "Tue_Wed"
-"2004-07-21" "Wed" "Wed" "Wed_Thu"
-"2004-07-22" "Thu" "Thu" "Thu_Fri"
-"2004-07-23" "Fri" "Fri" "Fri_Sat"
-"2004-07-24" "Sat" "Sat" "Sat_Sun"
-"2004-07-25" "Sun" "Sun" "Sun_Mon"
-"2004-07-26" "Mon" "Mon" "Mon_Tue"
-"2004-07-27" "Tue" "Tue" "Tue_Wed"
-"2004-07-28" "Wed" "Wed" "Wed_Thu"
-"2004-07-29" "Thu" "Thu" "Thu_Fri"
-"2004-07-30" "Fri" "Fri" "Fri_Sat"
-"2004-07-31" "Sat" "Sat" "Sat_Sun"
-"2004-08-01" "Sun" "Sun" "Sun_Mon"
-"2004-08-02" "Mon" "Mon" "Mon_Tue"
-"2004-08-03" "Tue" "Tue" "Tue_Wed"
-"2004-08-04" "Wed" "Wed" "Wed_Thu"
-"2004-08-05" "Thu" "Thu" "Thu_Fri"
-"2004-08-06" "Fri" "Fri" "Fri_Sat"
-"2004-08-07" "Sat" "Sat" "Sat_Sun"
-"2004-08-08" "Sun" "Sun" "Sun_Mon"
-"2004-08-09" "Mon" "Mon" "Mon_Tue"
-"2004-08-10" "Tue" "Tue" "Tue_Wed"
-"2004-08-11" "Wed" "Wed" "Wed_Thu"
-"2004-08-12" "Thu" "Thu" "Thu_Fri"
-"2004-08-13" "Fri" "Fri" "Fri_Sat"
-"2004-08-14" "Sat" "Sat" "Sat_Hol"
-"2004-08-15" "Sun" "Hol" "Hol_Mon"
-"2004-08-16" "Mon" "Mon" "Mon_Tue"
-"2004-08-17" "Tue" "Tue" "Tue_Wed"
-"2004-08-18" "Wed" "Wed" "Wed_Thu"
-"2004-08-19" "Thu" "Thu" "Thu_Fri"
-"2004-08-20" "Fri" "Fri" "Fri_Sat"
-"2004-08-21" "Sat" "Sat" "Sat_Sun"
-"2004-08-22" "Sun" "Sun" "Sun_Mon"
-"2004-08-23" "Mon" "Mon" "Mon_Tue"
-"2004-08-24" "Tue" "Tue" "Tue_Wed"
-"2004-08-25" "Wed" "Wed" "Wed_Thu"
-"2004-08-26" "Thu" "Thu" "Thu_Fri"
-"2004-08-27" "Fri" "Fri" "Fri_Sat"
-"2004-08-28" "Sat" "Sat" "Sat_Sun"
-"2004-08-29" "Sun" "Sun" "Sun_Mon"
-"2004-08-30" "Mon" "Mon" "Mon_Tue"
-"2004-08-31" "Tue" "Tue" "Tue_Wed"
-"2004-09-01" "Wed" "Wed" "Wed_Thu"
-"2004-09-02" "Thu" "Thu" "Thu_Fri"
-"2004-09-03" "Fri" "Fri" "Fri_Sat"
-"2004-09-04" "Sat" "Sat" "Sat_Sun"
-"2004-09-05" "Sun" "Sun" "Sun_Mon"
-"2004-09-06" "Mon" "Mon" "Mon_Tue"
-"2004-09-07" "Tue" "Tue" "Tue_Wed"
-"2004-09-08" "Wed" "Wed" "Wed_Thu"
-"2004-09-09" "Thu" "Thu" "Thu_Fri"
-"2004-09-10" "Fri" "Fri" "Fri_Sat"
-"2004-09-11" "Sat" "Sat" "Sat_Sun"
-"2004-09-12" "Sun" "Sun" "Sun_Mon"
-"2004-09-13" "Mon" "Mon" "Mon_Tue"
-"2004-09-14" "Tue" "Tue" "Tue_Wed"
-"2004-09-15" "Wed" "Wed" "Wed_Thu"
-"2004-09-16" "Thu" "Thu" "Thu_Fri"
-"2004-09-17" "Fri" "Fri" "Fri_Sat"
-"2004-09-18" "Sat" "Sat" "Sat_Sun"
-"2004-09-19" "Sun" "Sun" "Sun_Mon"
-"2004-09-20" "Mon" "Mon" "Mon_Tue"
-"2004-09-21" "Tue" "Tue" "Tue_Wed"
-"2004-09-22" "Wed" "Wed" "Wed_Thu"
-"2004-09-23" "Thu" "Thu" "Thu_Fri"
-"2004-09-24" "Fri" "Fri" "Fri_Sat"
-"2004-09-25" "Sat" "Sat" "Sat_Sun"
-"2004-09-26" "Sun" "Sun" "Sun_Mon"
-"2004-09-27" "Mon" "Mon" "Mon_Tue"
-"2004-09-28" "Tue" "Tue" "Tue_Wed"
-"2004-09-29" "Wed" "Wed" "Wed_Thu"
-"2004-09-30" "Thu" "Thu" "Thu_Fri"
-"2004-10-01" "Fri" "Fri" "Fri_Sat"
-"2004-10-02" "Sat" "Sat" "Sat_Sun"
-"2004-10-03" "Sun" "Sun" "Sun_Mon"
-"2004-10-04" "Mon" "Mon" "Mon_Tue"
-"2004-10-05" "Tue" "Tue" "Tue_Wed"
-"2004-10-06" "Wed" "Wed" "Wed_Thu"
-"2004-10-07" "Thu" "Thu" "Thu_Fri"
-"2004-10-08" "Fri" "Fri" "Fri_Sat"
-"2004-10-09" "Sat" "Sat" "Sat_Sun"
-"2004-10-10" "Sun" "Sun" "Sun_Mon"
-"2004-10-11" "Mon" "Mon" "Mon_Tue"
-"2004-10-12" "Tue" "Tue" "Tue_Wed"
-"2004-10-13" "Wed" "Wed" "Wed_Thu"
-"2004-10-14" "Thu" "Thu" "Thu_Fri"
-"2004-10-15" "Fri" "Fri" "Fri_Sat"
-"2004-10-16" "Sat" "Sat" "Sat_Sun"
-"2004-10-17" "Sun" "Sun" "Sun_Mon"
-"2004-10-18" "Mon" "Mon" "Mon_Tue"
-"2004-10-19" "Tue" "Tue" "Tue_Wed"
-"2004-10-20" "Wed" "Wed" "Wed_Thu"
-"2004-10-21" "Thu" "Thu" "Thu_Fri"
-"2004-10-22" "Fri" "Fri" "Fri_Sat"
-"2004-10-23" "Sat" "Sat" "Sat_Sun"
-"2004-10-24" "Sun" "Sun" "Sun_Mon"
-"2004-10-25" "Mon" "Mon" "Mon_Tue"
-"2004-10-26" "Tue" "Tue" "Tue_Wed"
-"2004-10-27" "Wed" "Wed" "Wed_Thu"
-"2004-10-28" "Thu" "Thu" "Thu_Fri"
-"2004-10-29" "Fri" "Fri" "Fri_Sat"
-"2004-10-30" "Sat" "Sat" "Sat_Sun"
-"2004-10-31" "Sun" "Sun" "Sun_Hol"
-"2004-11-01" "Mon" "Hol" "Hol_Tue"
-"2004-11-02" "Tue" "Tue" "Tue_Wed"
-"2004-11-03" "Wed" "Wed" "Wed_Thu"
-"2004-11-04" "Thu" "Thu" "Thu_Fri"
-"2004-11-05" "Fri" "Fri" "Fri_Sat"
-"2004-11-06" "Sat" "Sat" "Sat_Sun"
-"2004-11-07" "Sun" "Sun" "Sun_Mon"
-"2004-11-08" "Mon" "Mon" "Mon_Tue"
-"2004-11-09" "Tue" "Tue" "Tue_Wed"
-"2004-11-10" "Wed" "Wed" "Wed_Hol"
-"2004-11-11" "Thu" "Hol" "Hol_Fri"
-"2004-11-12" "Fri" "Fri" "Fri_Sat"
-"2004-11-13" "Sat" "Sat" "Sat_Sun"
-"2004-11-14" "Sun" "Sun" "Sun_Mon"
-"2004-11-15" "Mon" "Mon" "Mon_Tue"
-"2004-11-16" "Tue" "Tue" "Tue_Wed"
-"2004-11-17" "Wed" "Wed" "Wed_Thu"
-"2004-11-18" "Thu" "Thu" "Thu_Fri"
-"2004-11-19" "Fri" "Fri" "Fri_Sat"
-"2004-11-20" "Sat" "Sat" "Sat_Sun"
-"2004-11-21" "Sun" "Sun" "Sun_Mon"
-"2004-11-22" "Mon" "Mon" "Mon_Tue"
-"2004-11-23" "Tue" "Tue" "Tue_Wed"
-"2004-11-24" "Wed" "Wed" "Wed_Thu"
-"2004-11-25" "Thu" "Thu" "Thu_Fri"
-"2004-11-26" "Fri" "Fri" "Fri_Sat"
-"2004-11-27" "Sat" "Sat" "Sat_Sun"
-"2004-11-28" "Sun" "Sun" "Sun_Mon"
-"2004-11-29" "Mon" "Mon" "Mon_Tue"
-"2004-11-30" "Tue" "Tue" "Tue_Wed"
-"2004-12-01" "Wed" "Wed" "Wed_Thu"
-"2004-12-02" "Thu" "Thu" "Thu_Fri"
-"2004-12-03" "Fri" "Fri" "Fri_Sat"
-"2004-12-04" "Sat" "Sat" "Sat_Sun"
-"2004-12-05" "Sun" "Sun" "Sun_Mon"
-"2004-12-06" "Mon" "Mon" "Mon_Tue"
-"2004-12-07" "Tue" "Tue" "Tue_Wed"
-"2004-12-08" "Wed" "Wed" "Wed_Thu"
-"2004-12-09" "Thu" "Thu" "Thu_Fri"
-"2004-12-10" "Fri" "Fri" "Fri_Sat"
-"2004-12-11" "Sat" "Sat" "Sat_Sun"
-"2004-12-12" "Sun" "Sun" "Sun_Mon"
-"2004-12-13" "Mon" "Mon" "Mon_Tue"
-"2004-12-14" "Tue" "Tue" "Tue_Wed"
-"2004-12-15" "Wed" "Wed" "Wed_Thu"
-"2004-12-16" "Thu" "Thu" "Thu_Fri"
-"2004-12-17" "Fri" "Fri" "Fri_Sat"
-"2004-12-18" "Sat" "Sat" "Sat_Sun"
-"2004-12-19" "Sun" "Sun" "Sun_Mon"
-"2004-12-20" "Mon" "Mon" "Mon_Tue"
-"2004-12-21" "Tue" "Tue" "Tue_Wed"
-"2004-12-22" "Wed" "Wed" "Wed_Thu"
-"2004-12-23" "Thu" "Thu" "Thu_Fri"
-"2004-12-24" "Fri" "Fri" "Fri_Hol"
-"2004-12-25" "Sat" "Hol" "Hol_Sun"
-"2004-12-26" "Sun" "Sun" "Sun_Mon"
-"2004-12-27" "Mon" "Mon" "Mon_Tue"
-"2004-12-28" "Tue" "Tue" "Tue_Wed"
-"2004-12-29" "Wed" "Wed" "Wed_Thu"
-"2004-12-30" "Thu" "Thu" "Thu_Fri"
-"2004-12-31" "Fri" "Fri" "Fri_Hol"
-"2005-01-01" "Sat" "Hol" "Hol_Sun"
-"2005-01-02" "Sun" "Sun" "Sun_Mon"
-"2005-01-03" "Mon" "Mon" "Mon_Tue"
-"2005-01-04" "Tue" "Tue" "Tue_Wed"
-"2005-01-05" "Wed" "Wed" "Wed_Thu"
-"2005-01-06" "Thu" "Thu" "Thu_Fri"
-"2005-01-07" "Fri" "Fri" "Fri_Sat"
-"2005-01-08" "Sat" "Sat" "Sat_Sun"
-"2005-01-09" "Sun" "Sun" "Sun_Mon"
-"2005-01-10" "Mon" "Mon" "Mon_Tue"
-"2005-01-11" "Tue" "Tue" "Tue_Wed"
-"2005-01-12" "Wed" "Wed" "Wed_Thu"
-"2005-01-13" "Thu" "Thu" "Thu_Fri"
-"2005-01-14" "Fri" "Fri" "Fri_Sat"
-"2005-01-15" "Sat" "Sat" "Sat_Sun"
-"2005-01-16" "Sun" "Sun" "Sun_Mon"
-"2005-01-17" "Mon" "Mon" "Mon_Tue"
-"2005-01-18" "Tue" "Tue" "Tue_Wed"
-"2005-01-19" "Wed" "Wed" "Wed_Thu"
-"2005-01-20" "Thu" "Thu" "Thu_Fri"
-"2005-01-21" "Fri" "Fri" "Fri_Sat"
-"2005-01-22" "Sat" "Sat" "Sat_Sun"
-"2005-01-23" "Sun" "Sun" "Sun_Mon"
-"2005-01-24" "Mon" "Mon" "Mon_Tue"
-"2005-01-25" "Tue" "Tue" "Tue_Wed"
-"2005-01-26" "Wed" "Wed" "Wed_Thu"
-"2005-01-27" "Thu" "Thu" "Thu_Fri"
-"2005-01-28" "Fri" "Fri" "Fri_Sat"
-"2005-01-29" "Sat" "Sat" "Sat_Sun"
-"2005-01-30" "Sun" "Sun" "Sun_Mon"
-"2005-01-31" "Mon" "Mon" "Mon_Tue"
-"2005-02-01" "Tue" "Tue" "Tue_Wed"
-"2005-02-02" "Wed" "Wed" "Wed_Thu"
-"2005-02-03" "Thu" "Thu" "Thu_Fri"
-"2005-02-04" "Fri" "Fri" "Fri_Sat"
-"2005-02-05" "Sat" "Sat" "Sat_Sun"
-"2005-02-06" "Sun" "Sun" "Sun_Mon"
-"2005-02-07" "Mon" "Mon" "Mon_Tue"
-"2005-02-08" "Tue" "Tue" "Tue_Wed"
-"2005-02-09" "Wed" "Wed" "Wed_Thu"
-"2005-02-10" "Thu" "Thu" "Thu_Fri"
-"2005-02-11" "Fri" "Fri" "Fri_Sat"
-"2005-02-12" "Sat" "Sat" "Sat_Sun"
-"2005-02-13" "Sun" "Sun" "Sun_Mon"
-"2005-02-14" "Mon" "Mon" "Mon_Tue"
-"2005-02-15" "Tue" "Tue" "Tue_Wed"
-"2005-02-16" "Wed" "Wed" "Wed_Thu"
-"2005-02-17" "Thu" "Thu" "Thu_Fri"
-"2005-02-18" "Fri" "Fri" "Fri_Sat"
-"2005-02-19" "Sat" "Sat" "Sat_Sun"
-"2005-02-20" "Sun" "Sun" "Sun_Mon"
-"2005-02-21" "Mon" "Mon" "Mon_Tue"
-"2005-02-22" "Tue" "Tue" "Tue_Wed"
-"2005-02-23" "Wed" "Wed" "Wed_Thu"
-"2005-02-24" "Thu" "Thu" "Thu_Fri"
-"2005-02-25" "Fri" "Fri" "Fri_Sat"
-"2005-02-26" "Sat" "Sat" "Sat_Sun"
-"2005-02-27" "Sun" "Sun" "Sun_Mon"
-"2005-02-28" "Mon" "Mon" "Mon_Tue"
-"2005-03-01" "Tue" "Tue" "Tue_Wed"
-"2005-03-02" "Wed" "Wed" "Wed_Thu"
-"2005-03-03" "Thu" "Thu" "Thu_Fri"
-"2005-03-04" "Fri" "Fri" "Fri_Sat"
-"2005-03-05" "Sat" "Sat" "Sat_Sun"
-"2005-03-06" "Sun" "Sun" "Sun_Mon"
-"2005-03-07" "Mon" "Mon" "Mon_Tue"
-"2005-03-08" "Tue" "Tue" "Tue_Wed"
-"2005-03-09" "Wed" "Wed" "Wed_Thu"
-"2005-03-10" "Thu" "Thu" "Thu_Fri"
-"2005-03-11" "Fri" "Fri" "Fri_Sat"
-"2005-03-12" "Sat" "Sat" "Sat_Sun"
-"2005-03-13" "Sun" "Sun" "Sun_Mon"
-"2005-03-14" "Mon" "Mon" "Mon_Tue"
-"2005-03-15" "Tue" "Tue" "Tue_Wed"
-"2005-03-16" "Wed" "Wed" "Wed_Thu"
-"2005-03-17" "Thu" "Thu" "Thu_Fri"
-"2005-03-18" "Fri" "Fri" "Fri_Sat"
-"2005-03-19" "Sat" "Sat" "Sat_Sun"
-"2005-03-20" "Sun" "Sun" "Sun_Mon"
-"2005-03-21" "Mon" "Mon" "Mon_Tue"
-"2005-03-22" "Tue" "Tue" "Tue_Wed"
-"2005-03-23" "Wed" "Wed" "Wed_Thu"
-"2005-03-24" "Thu" "Thu" "Thu_Fri"
-"2005-03-25" "Fri" "Fri" "Fri_Sat"
-"2005-03-26" "Sat" "Sat" "Sat_Sun"
-"2005-03-27" "Sun" "Sun" "Sun_Hol"
-"2005-03-28" "Mon" "Hol" "Hol_Tue"
-"2005-03-29" "Tue" "Tue" "Tue_Wed"
-"2005-03-30" "Wed" "Wed" "Wed_Thu"
-"2005-03-31" "Thu" "Thu" "Thu_Fri"
-"2005-04-01" "Fri" "Fri" "Fri_Sat"
-"2005-04-02" "Sat" "Sat" "Sat_Sun"
-"2005-04-03" "Sun" "Sun" "Sun_Mon"
-"2005-04-04" "Mon" "Mon" "Mon_Tue"
-"2005-04-05" "Tue" "Tue" "Tue_Wed"
-"2005-04-06" "Wed" "Wed" "Wed_Thu"
-"2005-04-07" "Thu" "Thu" "Thu_Fri"
-"2005-04-08" "Fri" "Fri" "Fri_Sat"
-"2005-04-09" "Sat" "Sat" "Sat_Sun"
-"2005-04-10" "Sun" "Sun" "Sun_Mon"
-"2005-04-11" "Mon" "Mon" "Mon_Tue"
-"2005-04-12" "Tue" "Tue" "Tue_Wed"
-"2005-04-13" "Wed" "Wed" "Wed_Thu"
-"2005-04-14" "Thu" "Thu" "Thu_Fri"
-"2005-04-15" "Fri" "Fri" "Fri_Sat"
-"2005-04-16" "Sat" "Sat" "Sat_Sun"
-"2005-04-17" "Sun" "Sun" "Sun_Mon"
-"2005-04-18" "Mon" "Mon" "Mon_Tue"
-"2005-04-19" "Tue" "Tue" "Tue_Wed"
-"2005-04-20" "Wed" "Wed" "Wed_Thu"
-"2005-04-21" "Thu" "Thu" "Thu_Fri"
-"2005-04-22" "Fri" "Fri" "Fri_Sat"
-"2005-04-23" "Sat" "Sat" "Sat_Sun"
-"2005-04-24" "Sun" "Sun" "Sun_Mon"
-"2005-04-25" "Mon" "Mon" "Mon_Tue"
-"2005-04-26" "Tue" "Tue" "Tue_Wed"
-"2005-04-27" "Wed" "Wed" "Wed_Thu"
-"2005-04-28" "Thu" "Thu" "Thu_Fri"
-"2005-04-29" "Fri" "Fri" "Fri_Sat"
-"2005-04-30" "Sat" "Sat" "Sat_Hol"
-"2005-05-01" "Sun" "Hol" "Hol_Mon"
-"2005-05-02" "Mon" "Mon" "Mon_Tue"
-"2005-05-03" "Tue" "Tue" "Tue_Wed"
-"2005-05-04" "Wed" "Wed" "Wed_Hol"
-"2005-05-05" "Thu" "Hol" "Hol_Fri"
-"2005-05-06" "Fri" "Fri" "Fri_Sat"
-"2005-05-07" "Sat" "Sat" "Sat_Hol"
-"2005-05-08" "Sun" "Hol" "Hol_Mon"
-"2005-05-09" "Mon" "Mon" "Mon_Tue"
-"2005-05-10" "Tue" "Tue" "Tue_Wed"
-"2005-05-11" "Wed" "Wed" "Wed_Thu"
-"2005-05-12" "Thu" "Thu" "Thu_Fri"
-"2005-05-13" "Fri" "Fri" "Fri_Sat"
-"2005-05-14" "Sat" "Sat" "Sat_Sun"
-"2005-05-15" "Sun" "Sun" "Sun_Hol"
-"2005-05-16" "Mon" "Hol" "Hol_Tue"
-"2005-05-17" "Tue" "Tue" "Tue_Wed"
-"2005-05-18" "Wed" "Wed" "Wed_Thu"
-"2005-05-19" "Thu" "Thu" "Thu_Fri"
-"2005-05-20" "Fri" "Fri" "Fri_Sat"
-"2005-05-21" "Sat" "Sat" "Sat_Sun"
-"2005-05-22" "Sun" "Sun" "Sun_Mon"
-"2005-05-23" "Mon" "Mon" "Mon_Tue"
-"2005-05-24" "Tue" "Tue" "Tue_Wed"
-"2005-05-25" "Wed" "Wed" "Wed_Thu"
-"2005-05-26" "Thu" "Thu" "Thu_Fri"
-"2005-05-27" "Fri" "Fri" "Fri_Sat"
-"2005-05-28" "Sat" "Sat" "Sat_Sun"
-"2005-05-29" "Sun" "Sun" "Sun_Mon"
-"2005-05-30" "Mon" "Mon" "Mon_Tue"
-"2005-05-31" "Tue" "Tue" "Tue_Wed"
-"2005-06-01" "Wed" "Wed" "Wed_Thu"
-"2005-06-02" "Thu" "Thu" "Thu_Fri"
-"2005-06-03" "Fri" "Fri" "Fri_Sat"
-"2005-06-04" "Sat" "Sat" "Sat_Sun"
-"2005-06-05" "Sun" "Sun" "Sun_Mon"
-"2005-06-06" "Mon" "Mon" "Mon_Tue"
-"2005-06-07" "Tue" "Tue" "Tue_Wed"
-"2005-06-08" "Wed" "Wed" "Wed_Thu"
-"2005-06-09" "Thu" "Thu" "Thu_Fri"
-"2005-06-10" "Fri" "Fri" "Fri_Sat"
-"2005-06-11" "Sat" "Sat" "Sat_Sun"
-"2005-06-12" "Sun" "Sun" "Sun_Mon"
-"2005-06-13" "Mon" "Mon" "Mon_Tue"
-"2005-06-14" "Tue" "Tue" "Tue_Wed"
-"2005-06-15" "Wed" "Wed" "Wed_Thu"
-"2005-06-16" "Thu" "Thu" "Thu_Fri"
-"2005-06-17" "Fri" "Fri" "Fri_Sat"
-"2005-06-18" "Sat" "Sat" "Sat_Sun"
-"2005-06-19" "Sun" "Sun" "Sun_Mon"
-"2005-06-20" "Mon" "Mon" "Mon_Tue"
-"2005-06-21" "Tue" "Tue" "Tue_Wed"
-"2005-06-22" "Wed" "Wed" "Wed_Thu"
-"2005-06-23" "Thu" "Thu" "Thu_Fri"
-"2005-06-24" "Fri" "Fri" "Fri_Sat"
-"2005-06-25" "Sat" "Sat" "Sat_Sun"
-"2005-06-26" "Sun" "Sun" "Sun_Mon"
-"2005-06-27" "Mon" "Mon" "Mon_Tue"
-"2005-06-28" "Tue" "Tue" "Tue_Wed"
-"2005-06-29" "Wed" "Wed" "Wed_Thu"
-"2005-06-30" "Thu" "Thu" "Thu_Fri"
-"2005-07-01" "Fri" "Fri" "Fri_Sat"
-"2005-07-02" "Sat" "Sat" "Sat_Sun"
-"2005-07-03" "Sun" "Sun" "Sun_Mon"
-"2005-07-04" "Mon" "Mon" "Mon_Tue"
-"2005-07-05" "Tue" "Tue" "Tue_Wed"
-"2005-07-06" "Wed" "Wed" "Wed_Thu"
-"2005-07-07" "Thu" "Thu" "Thu_Fri"
-"2005-07-08" "Fri" "Fri" "Fri_Sat"
-"2005-07-09" "Sat" "Sat" "Sat_Sun"
-"2005-07-10" "Sun" "Sun" "Sun_Mon"
-"2005-07-11" "Mon" "Mon" "Mon_Tue"
-"2005-07-12" "Tue" "Tue" "Tue_Wed"
-"2005-07-13" "Wed" "Wed" "Wed_Hol"
-"2005-07-14" "Thu" "Hol" "Hol_Fri"
-"2005-07-15" "Fri" "Fri" "Fri_Sat"
-"2005-07-16" "Sat" "Sat" "Sat_Sun"
-"2005-07-17" "Sun" "Sun" "Sun_Mon"
-"2005-07-18" "Mon" "Mon" "Mon_Tue"
-"2005-07-19" "Tue" "Tue" "Tue_Wed"
-"2005-07-20" "Wed" "Wed" "Wed_Thu"
-"2005-07-21" "Thu" "Thu" "Thu_Fri"
-"2005-07-22" "Fri" "Fri" "Fri_Sat"
-"2005-07-23" "Sat" "Sat" "Sat_Sun"
-"2005-07-24" "Sun" "Sun" "Sun_Mon"
-"2005-07-25" "Mon" "Mon" "Mon_Tue"
-"2005-07-26" "Tue" "Tue" "Tue_Wed"
-"2005-07-27" "Wed" "Wed" "Wed_Thu"
-"2005-07-28" "Thu" "Thu" "Thu_Fri"
-"2005-07-29" "Fri" "Fri" "Fri_Sat"
-"2005-07-30" "Sat" "Sat" "Sat_Sun"
-"2005-07-31" "Sun" "Sun" "Sun_Mon"
-"2005-08-01" "Mon" "Mon" "Mon_Tue"
-"2005-08-02" "Tue" "Tue" "Tue_Wed"
-"2005-08-03" "Wed" "Wed" "Wed_Thu"
-"2005-08-04" "Thu" "Thu" "Thu_Fri"
-"2005-08-05" "Fri" "Fri" "Fri_Sat"
-"2005-08-06" "Sat" "Sat" "Sat_Sun"
-"2005-08-07" "Sun" "Sun" "Sun_Mon"
-"2005-08-08" "Mon" "Mon" "Mon_Tue"
-"2005-08-09" "Tue" "Tue" "Tue_Wed"
-"2005-08-10" "Wed" "Wed" "Wed_Thu"
-"2005-08-11" "Thu" "Thu" "Thu_Fri"
-"2005-08-12" "Fri" "Fri" "Fri_Sat"
-"2005-08-13" "Sat" "Sat" "Sat_Sun"
-"2005-08-14" "Sun" "Sun" "Sun_Hol"
-"2005-08-15" "Mon" "Hol" "Hol_Tue"
-"2005-08-16" "Tue" "Tue" "Tue_Wed"
-"2005-08-17" "Wed" "Wed" "Wed_Thu"
-"2005-08-18" "Thu" "Thu" "Thu_Fri"
-"2005-08-19" "Fri" "Fri" "Fri_Sat"
-"2005-08-20" "Sat" "Sat" "Sat_Sun"
-"2005-08-21" "Sun" "Sun" "Sun_Mon"
-"2005-08-22" "Mon" "Mon" "Mon_Tue"
-"2005-08-23" "Tue" "Tue" "Tue_Wed"
-"2005-08-24" "Wed" "Wed" "Wed_Thu"
-"2005-08-25" "Thu" "Thu" "Thu_Fri"
-"2005-08-26" "Fri" "Fri" "Fri_Sat"
-"2005-08-27" "Sat" "Sat" "Sat_Sun"
-"2005-08-28" "Sun" "Sun" "Sun_Mon"
-"2005-08-29" "Mon" "Mon" "Mon_Tue"
-"2005-08-30" "Tue" "Tue" "Tue_Wed"
-"2005-08-31" "Wed" "Wed" "Wed_Thu"
-"2005-09-01" "Thu" "Thu" "Thu_Fri"
-"2005-09-02" "Fri" "Fri" "Fri_Sat"
-"2005-09-03" "Sat" "Sat" "Sat_Sun"
-"2005-09-04" "Sun" "Sun" "Sun_Mon"
-"2005-09-05" "Mon" "Mon" "Mon_Tue"
-"2005-09-06" "Tue" "Tue" "Tue_Wed"
-"2005-09-07" "Wed" "Wed" "Wed_Thu"
-"2005-09-08" "Thu" "Thu" "Thu_Fri"
-"2005-09-09" "Fri" "Fri" "Fri_Sat"
-"2005-09-10" "Sat" "Sat" "Sat_Sun"
-"2005-09-11" "Sun" "Sun" "Sun_Mon"
-"2005-09-12" "Mon" "Mon" "Mon_Tue"
-"2005-09-13" "Tue" "Tue" "Tue_Wed"
-"2005-09-14" "Wed" "Wed" "Wed_Thu"
-"2005-09-15" "Thu" "Thu" "Thu_Fri"
-"2005-09-16" "Fri" "Fri" "Fri_Sat"
-"2005-09-17" "Sat" "Sat" "Sat_Sun"
-"2005-09-18" "Sun" "Sun" "Sun_Mon"
-"2005-09-19" "Mon" "Mon" "Mon_Tue"
-"2005-09-20" "Tue" "Tue" "Tue_Wed"
-"2005-09-21" "Wed" "Wed" "Wed_Thu"
-"2005-09-22" "Thu" "Thu" "Thu_Fri"
-"2005-09-23" "Fri" "Fri" "Fri_Sat"
-"2005-09-24" "Sat" "Sat" "Sat_Sun"
-"2005-09-25" "Sun" "Sun" "Sun_Mon"
-"2005-09-26" "Mon" "Mon" "Mon_Tue"
-"2005-09-27" "Tue" "Tue" "Tue_Wed"
-"2005-09-28" "Wed" "Wed" "Wed_Thu"
-"2005-09-29" "Thu" "Thu" "Thu_Fri"
-"2005-09-30" "Fri" "Fri" "Fri_Sat"
-"2005-10-01" "Sat" "Sat" "Sat_Sun"
-"2005-10-02" "Sun" "Sun" "Sun_Mon"
-"2005-10-03" "Mon" "Mon" "Mon_Tue"
-"2005-10-04" "Tue" "Tue" "Tue_Wed"
-"2005-10-05" "Wed" "Wed" "Wed_Thu"
-"2005-10-06" "Thu" "Thu" "Thu_Fri"
-"2005-10-07" "Fri" "Fri" "Fri_Sat"
-"2005-10-08" "Sat" "Sat" "Sat_Sun"
-"2005-10-09" "Sun" "Sun" "Sun_Mon"
-"2005-10-10" "Mon" "Mon" "Mon_Tue"
-"2005-10-11" "Tue" "Tue" "Tue_Wed"
-"2005-10-12" "Wed" "Wed" "Wed_Thu"
-"2005-10-13" "Thu" "Thu" "Thu_Fri"
-"2005-10-14" "Fri" "Fri" "Fri_Sat"
-"2005-10-15" "Sat" "Sat" "Sat_Sun"
-"2005-10-16" "Sun" "Sun" "Sun_Mon"
-"2005-10-17" "Mon" "Mon" "Mon_Tue"
-"2005-10-18" "Tue" "Tue" "Tue_Wed"
-"2005-10-19" "Wed" "Wed" "Wed_Thu"
-"2005-10-20" "Thu" "Thu" "Thu_Fri"
-"2005-10-21" "Fri" "Fri" "Fri_Sat"
-"2005-10-22" "Sat" "Sat" "Sat_Sun"
-"2005-10-23" "Sun" "Sun" "Sun_Mon"
-"2005-10-24" "Mon" "Mon" "Mon_Tue"
-"2005-10-25" "Tue" "Tue" "Tue_Wed"
-"2005-10-26" "Wed" "Wed" "Wed_Thu"
-"2005-10-27" "Thu" "Thu" "Thu_Fri"
-"2005-10-28" "Fri" "Fri" "Fri_Sat"
-"2005-10-29" "Sat" "Sat" "Sat_Sun"
-"2005-10-30" "Sun" "Sun" "Sun_Mon"
-"2005-10-31" "Mon" "Mon" "Mon_Hol"
-"2005-11-01" "Tue" "Hol" "Hol_Wed"
-"2005-11-02" "Wed" "Wed" "Wed_Thu"
-"2005-11-03" "Thu" "Thu" "Thu_Fri"
-"2005-11-04" "Fri" "Fri" "Fri_Sat"
-"2005-11-05" "Sat" "Sat" "Sat_Sun"
-"2005-11-06" "Sun" "Sun" "Sun_Mon"
-"2005-11-07" "Mon" "Mon" "Mon_Tue"
-"2005-11-08" "Tue" "Tue" "Tue_Wed"
-"2005-11-09" "Wed" "Wed" "Wed_Thu"
-"2005-11-10" "Thu" "Thu" "Thu_Hol"
-"2005-11-11" "Fri" "Hol" "Hol_Sat"
-"2005-11-12" "Sat" "Sat" "Sat_Sun"
-"2005-11-13" "Sun" "Sun" "Sun_Mon"
-"2005-11-14" "Mon" "Mon" "Mon_Tue"
-"2005-11-15" "Tue" "Tue" "Tue_Wed"
-"2005-11-16" "Wed" "Wed" "Wed_Thu"
-"2005-11-17" "Thu" "Thu" "Thu_Fri"
-"2005-11-18" "Fri" "Fri" "Fri_Sat"
-"2005-11-19" "Sat" "Sat" "Sat_Sun"
-"2005-11-20" "Sun" "Sun" "Sun_Mon"
-"2005-11-21" "Mon" "Mon" "Mon_Tue"
-"2005-11-22" "Tue" "Tue" "Tue_Wed"
-"2005-11-23" "Wed" "Wed" "Wed_Thu"
-"2005-11-24" "Thu" "Thu" "Thu_Fri"
-"2005-11-25" "Fri" "Fri" "Fri_Sat"
-"2005-11-26" "Sat" "Sat" "Sat_Sun"
-"2005-11-27" "Sun" "Sun" "Sun_Mon"
-"2005-11-28" "Mon" "Mon" "Mon_Tue"
-"2005-11-29" "Tue" "Tue" "Tue_Wed"
-"2005-11-30" "Wed" "Wed" "Wed_Thu"
-"2005-12-01" "Thu" "Thu" "Thu_Fri"
-"2005-12-02" "Fri" "Fri" "Fri_Sat"
-"2005-12-03" "Sat" "Sat" "Sat_Sun"
-"2005-12-04" "Sun" "Sun" "Sun_Mon"
-"2005-12-05" "Mon" "Mon" "Mon_Tue"
-"2005-12-06" "Tue" "Tue" "Tue_Wed"
-"2005-12-07" "Wed" "Wed" "Wed_Thu"
-"2005-12-08" "Thu" "Thu" "Thu_Fri"
-"2005-12-09" "Fri" "Fri" "Fri_Sat"
-"2005-12-10" "Sat" "Sat" "Sat_Sun"
-"2005-12-11" "Sun" "Sun" "Sun_Mon"
-"2005-12-12" "Mon" "Mon" "Mon_Tue"
-"2005-12-13" "Tue" "Tue" "Tue_Wed"
-"2005-12-14" "Wed" "Wed" "Wed_Thu"
-"2005-12-15" "Thu" "Thu" "Thu_Fri"
-"2005-12-16" "Fri" "Fri" "Fri_Sat"
-"2005-12-17" "Sat" "Sat" "Sat_Sun"
-"2005-12-18" "Sun" "Sun" "Sun_Mon"
-"2005-12-19" "Mon" "Mon" "Mon_Tue"
-"2005-12-20" "Tue" "Tue" "Tue_Wed"
-"2005-12-21" "Wed" "Wed" "Wed_Thu"
-"2005-12-22" "Thu" "Thu" "Thu_Fri"
-"2005-12-23" "Fri" "Fri" "Fri_Sat"
-"2005-12-24" "Sat" "Sat" "Sat_Hol"
-"2005-12-25" "Sun" "Hol" "Hol_Mon"
-"2005-12-26" "Mon" "Mon" "Mon_Tue"
-"2005-12-27" "Tue" "Tue" "Tue_Wed"
-"2005-12-28" "Wed" "Wed" "Wed_Thu"
-"2005-12-29" "Thu" "Thu" "Thu_Fri"
-"2005-12-30" "Fri" "Fri" "Fri_Sat"
-"2005-12-31" "Sat" "Sat" "Sat_Hol"
-"2006-01-01" "Sun" "Hol" "Hol_Mon"
-"2006-01-02" "Mon" "Mon" "Mon_Tue"
-"2006-01-03" "Tue" "Tue" "Tue_Wed"
-"2006-01-04" "Wed" "Wed" "Wed_Thu"
-"2006-01-05" "Thu" "Thu" "Thu_Fri"
-"2006-01-06" "Fri" "Fri" "Fri_Sat"
-"2006-01-07" "Sat" "Sat" "Sat_Sun"
-"2006-01-08" "Sun" "Sun" "Sun_Mon"
-"2006-01-09" "Mon" "Mon" "Mon_Tue"
-"2006-01-10" "Tue" "Tue" "Tue_Wed"
-"2006-01-11" "Wed" "Wed" "Wed_Thu"
-"2006-01-12" "Thu" "Thu" "Thu_Fri"
-"2006-01-13" "Fri" "Fri" "Fri_Sat"
-"2006-01-14" "Sat" "Sat" "Sat_Sun"
-"2006-01-15" "Sun" "Sun" "Sun_Mon"
-"2006-01-16" "Mon" "Mon" "Mon_Tue"
-"2006-01-17" "Tue" "Tue" "Tue_Wed"
-"2006-01-18" "Wed" "Wed" "Wed_Thu"
-"2006-01-19" "Thu" "Thu" "Thu_Fri"
-"2006-01-20" "Fri" "Fri" "Fri_Sat"
-"2006-01-21" "Sat" "Sat" "Sat_Sun"
-"2006-01-22" "Sun" "Sun" "Sun_Mon"
-"2006-01-23" "Mon" "Mon" "Mon_Tue"
-"2006-01-24" "Tue" "Tue" "Tue_Wed"
-"2006-01-25" "Wed" "Wed" "Wed_Thu"
-"2006-01-26" "Thu" "Thu" "Thu_Fri"
-"2006-01-27" "Fri" "Fri" "Fri_Sat"
-"2006-01-28" "Sat" "Sat" "Sat_Sun"
-"2006-01-29" "Sun" "Sun" "Sun_Mon"
-"2006-01-30" "Mon" "Mon" "Mon_Tue"
-"2006-01-31" "Tue" "Tue" "Tue_Wed"
-"2006-02-01" "Wed" "Wed" "Wed_Thu"
-"2006-02-02" "Thu" "Thu" "Thu_Fri"
-"2006-02-03" "Fri" "Fri" "Fri_Sat"
-"2006-02-04" "Sat" "Sat" "Sat_Sun"
-"2006-02-05" "Sun" "Sun" "Sun_Mon"
-"2006-02-06" "Mon" "Mon" "Mon_Tue"
-"2006-02-07" "Tue" "Tue" "Tue_Wed"
-"2006-02-08" "Wed" "Wed" "Wed_Thu"
-"2006-02-09" "Thu" "Thu" "Thu_Fri"
-"2006-02-10" "Fri" "Fri" "Fri_Sat"
-"2006-02-11" "Sat" "Sat" "Sat_Sun"
-"2006-02-12" "Sun" "Sun" "Sun_Mon"
-"2006-02-13" "Mon" "Mon" "Mon_Tue"
-"2006-02-14" "Tue" "Tue" "Tue_Wed"
-"2006-02-15" "Wed" "Wed" "Wed_Thu"
-"2006-02-16" "Thu" "Thu" "Thu_Fri"
-"2006-02-17" "Fri" "Fri" "Fri_Sat"
-"2006-02-18" "Sat" "Sat" "Sat_Sun"
-"2006-02-19" "Sun" "Sun" "Sun_Mon"
-"2006-02-20" "Mon" "Mon" "Mon_Tue"
-"2006-02-21" "Tue" "Tue" "Tue_Wed"
-"2006-02-22" "Wed" "Wed" "Wed_Thu"
-"2006-02-23" "Thu" "Thu" "Thu_Fri"
-"2006-02-24" "Fri" "Fri" "Fri_Sat"
-"2006-02-25" "Sat" "Sat" "Sat_Sun"
-"2006-02-26" "Sun" "Sun" "Sun_Mon"
-"2006-02-27" "Mon" "Mon" "Mon_Tue"
-"2006-02-28" "Tue" "Tue" "Tue_Wed"
-"2006-03-01" "Wed" "Wed" "Wed_Thu"
-"2006-03-02" "Thu" "Thu" "Thu_Fri"
-"2006-03-03" "Fri" "Fri" "Fri_Sat"
-"2006-03-04" "Sat" "Sat" "Sat_Sun"
-"2006-03-05" "Sun" "Sun" "Sun_Mon"
-"2006-03-06" "Mon" "Mon" "Mon_Tue"
-"2006-03-07" "Tue" "Tue" "Tue_Wed"
-"2006-03-08" "Wed" "Wed" "Wed_Thu"
-"2006-03-09" "Thu" "Thu" "Thu_Fri"
-"2006-03-10" "Fri" "Fri" "Fri_Sat"
-"2006-03-11" "Sat" "Sat" "Sat_Sun"
-"2006-03-12" "Sun" "Sun" "Sun_Mon"
-"2006-03-13" "Mon" "Mon" "Mon_Tue"
-"2006-03-14" "Tue" "Tue" "Tue_Wed"
-"2006-03-15" "Wed" "Wed" "Wed_Thu"
-"2006-03-16" "Thu" "Thu" "Thu_Fri"
-"2006-03-17" "Fri" "Fri" "Fri_Sat"
-"2006-03-18" "Sat" "Sat" "Sat_Sun"
-"2006-03-19" "Sun" "Sun" "Sun_Mon"
-"2006-03-20" "Mon" "Mon" "Mon_Tue"
-"2006-03-21" "Tue" "Tue" "Tue_Wed"
-"2006-03-22" "Wed" "Wed" "Wed_Thu"
-"2006-03-23" "Thu" "Thu" "Thu_Fri"
-"2006-03-24" "Fri" "Fri" "Fri_Sat"
-"2006-03-25" "Sat" "Sat" "Sat_Sun"
-"2006-03-26" "Sun" "Sun" "Sun_Mon"
-"2006-03-27" "Mon" "Mon" "Mon_Tue"
-"2006-03-28" "Tue" "Tue" "Tue_Wed"
-"2006-03-29" "Wed" "Wed" "Wed_Thu"
-"2006-03-30" "Thu" "Thu" "Thu_Fri"
-"2006-03-31" "Fri" "Fri" "Fri_Sat"
-"2006-04-01" "Sat" "Sat" "Sat_Sun"
-"2006-04-02" "Sun" "Sun" "Sun_Mon"
-"2006-04-03" "Mon" "Mon" "Mon_Tue"
-"2006-04-04" "Tue" "Tue" "Tue_Wed"
-"2006-04-05" "Wed" "Wed" "Wed_Thu"
-"2006-04-06" "Thu" "Thu" "Thu_Fri"
-"2006-04-07" "Fri" "Fri" "Fri_Sat"
-"2006-04-08" "Sat" "Sat" "Sat_Sun"
-"2006-04-09" "Sun" "Sun" "Sun_Mon"
-"2006-04-10" "Mon" "Mon" "Mon_Tue"
-"2006-04-11" "Tue" "Tue" "Tue_Wed"
-"2006-04-12" "Wed" "Wed" "Wed_Thu"
-"2006-04-13" "Thu" "Thu" "Thu_Fri"
-"2006-04-14" "Fri" "Fri" "Fri_Sat"
-"2006-04-15" "Sat" "Sat" "Sat_Sun"
-"2006-04-16" "Sun" "Sun" "Sun_Hol"
-"2006-04-17" "Mon" "Hol" "Hol_Tue"
-"2006-04-18" "Tue" "Tue" "Tue_Wed"
-"2006-04-19" "Wed" "Wed" "Wed_Thu"
-"2006-04-20" "Thu" "Thu" "Thu_Fri"
-"2006-04-21" "Fri" "Fri" "Fri_Sat"
-"2006-04-22" "Sat" "Sat" "Sat_Sun"
-"2006-04-23" "Sun" "Sun" "Sun_Mon"
-"2006-04-24" "Mon" "Mon" "Mon_Tue"
-"2006-04-25" "Tue" "Tue" "Tue_Wed"
-"2006-04-26" "Wed" "Wed" "Wed_Thu"
-"2006-04-27" "Thu" "Thu" "Thu_Fri"
-"2006-04-28" "Fri" "Fri" "Fri_Sat"
-"2006-04-29" "Sat" "Sat" "Sat_Sun"
-"2006-04-30" "Sun" "Sun" "Sun_Hol"
-"2006-05-01" "Mon" "Hol" "Hol_Tue"
-"2006-05-02" "Tue" "Tue" "Tue_Wed"
-"2006-05-03" "Wed" "Wed" "Wed_Thu"
-"2006-05-04" "Thu" "Thu" "Thu_Fri"
-"2006-05-05" "Fri" "Fri" "Fri_Sat"
-"2006-05-06" "Sat" "Sat" "Sat_Sun"
-"2006-05-07" "Sun" "Sun" "Sun_Hol"
-"2006-05-08" "Mon" "Hol" "Hol_Tue"
-"2006-05-09" "Tue" "Tue" "Tue_Wed"
-"2006-05-10" "Wed" "Wed" "Wed_Thu"
-"2006-05-11" "Thu" "Thu" "Thu_Fri"
-"2006-05-12" "Fri" "Fri" "Fri_Sat"
-"2006-05-13" "Sat" "Sat" "Sat_Sun"
-"2006-05-14" "Sun" "Sun" "Sun_Mon"
-"2006-05-15" "Mon" "Mon" "Mon_Tue"
-"2006-05-16" "Tue" "Tue" "Tue_Wed"
-"2006-05-17" "Wed" "Wed" "Wed_Thu"
-"2006-05-18" "Thu" "Thu" "Thu_Fri"
-"2006-05-19" "Fri" "Fri" "Fri_Sat"
-"2006-05-20" "Sat" "Sat" "Sat_Sun"
-"2006-05-21" "Sun" "Sun" "Sun_Mon"
-"2006-05-22" "Mon" "Mon" "Mon_Tue"
-"2006-05-23" "Tue" "Tue" "Tue_Wed"
-"2006-05-24" "Wed" "Wed" "Wed_Hol"
-"2006-05-25" "Thu" "Hol" "Hol_Fri"
-"2006-05-26" "Fri" "Fri" "Fri_Sat"
-"2006-05-27" "Sat" "Sat" "Sat_Sun"
-"2006-05-28" "Sun" "Sun" "Sun_Mon"
-"2006-05-29" "Mon" "Mon" "Mon_Tue"
-"2006-05-30" "Tue" "Tue" "Tue_Wed"
-"2006-05-31" "Wed" "Wed" "Wed_Thu"
-"2006-06-01" "Thu" "Thu" "Thu_Fri"
-"2006-06-02" "Fri" "Fri" "Fri_Sat"
-"2006-06-03" "Sat" "Sat" "Sat_Sun"
-"2006-06-04" "Sun" "Sun" "Sun_Hol"
-"2006-06-05" "Mon" "Hol" "Hol_Tue"
-"2006-06-06" "Tue" "Tue" "Tue_Wed"
-"2006-06-07" "Wed" "Wed" "Wed_Thu"
-"2006-06-08" "Thu" "Thu" "Thu_Fri"
-"2006-06-09" "Fri" "Fri" "Fri_Sat"
-"2006-06-10" "Sat" "Sat" "Sat_Sun"
-"2006-06-11" "Sun" "Sun" "Sun_Mon"
-"2006-06-12" "Mon" "Mon" "Mon_Tue"
-"2006-06-13" "Tue" "Tue" "Tue_Wed"
-"2006-06-14" "Wed" "Wed" "Wed_Thu"
-"2006-06-15" "Thu" "Thu" "Thu_Fri"
-"2006-06-16" "Fri" "Fri" "Fri_Sat"
-"2006-06-17" "Sat" "Sat" "Sat_Sun"
-"2006-06-18" "Sun" "Sun" "Sun_Mon"
-"2006-06-19" "Mon" "Mon" "Mon_Tue"
-"2006-06-20" "Tue" "Tue" "Tue_Wed"
-"2006-06-21" "Wed" "Wed" "Wed_Thu"
-"2006-06-22" "Thu" "Thu" "Thu_Fri"
-"2006-06-23" "Fri" "Fri" "Fri_Sat"
-"2006-06-24" "Sat" "Sat" "Sat_Sun"
-"2006-06-25" "Sun" "Sun" "Sun_Mon"
-"2006-06-26" "Mon" "Mon" "Mon_Tue"
-"2006-06-27" "Tue" "Tue" "Tue_Wed"
-"2006-06-28" "Wed" "Wed" "Wed_Thu"
-"2006-06-29" "Thu" "Thu" "Thu_Fri"
-"2006-06-30" "Fri" "Fri" "Fri_Sat"
-"2006-07-01" "Sat" "Sat" "Sat_Sun"
-"2006-07-02" "Sun" "Sun" "Sun_Mon"
-"2006-07-03" "Mon" "Mon" "Mon_Tue"
-"2006-07-04" "Tue" "Tue" "Tue_Wed"
-"2006-07-05" "Wed" "Wed" "Wed_Thu"
-"2006-07-06" "Thu" "Thu" "Thu_Fri"
-"2006-07-07" "Fri" "Fri" "Fri_Sat"
-"2006-07-08" "Sat" "Sat" "Sat_Sun"
-"2006-07-09" "Sun" "Sun" "Sun_Mon"
-"2006-07-10" "Mon" "Mon" "Mon_Tue"
-"2006-07-11" "Tue" "Tue" "Tue_Wed"
-"2006-07-12" "Wed" "Wed" "Wed_Thu"
-"2006-07-13" "Thu" "Thu" "Thu_Hol"
-"2006-07-14" "Fri" "Hol" "Hol_Sat"
-"2006-07-15" "Sat" "Sat" "Sat_Sun"
-"2006-07-16" "Sun" "Sun" "Sun_Mon"
-"2006-07-17" "Mon" "Mon" "Mon_Tue"
-"2006-07-18" "Tue" "Tue" "Tue_Wed"
-"2006-07-19" "Wed" "Wed" "Wed_Thu"
-"2006-07-20" "Thu" "Thu" "Thu_Fri"
-"2006-07-21" "Fri" "Fri" "Fri_Sat"
-"2006-07-22" "Sat" "Sat" "Sat_Sun"
-"2006-07-23" "Sun" "Sun" "Sun_Mon"
-"2006-07-24" "Mon" "Mon" "Mon_Tue"
-"2006-07-25" "Tue" "Tue" "Tue_Wed"
-"2006-07-26" "Wed" "Wed" "Wed_Thu"
-"2006-07-27" "Thu" "Thu" "Thu_Fri"
-"2006-07-28" "Fri" "Fri" "Fri_Sat"
-"2006-07-29" "Sat" "Sat" "Sat_Sun"
-"2006-07-30" "Sun" "Sun" "Sun_Mon"
-"2006-07-31" "Mon" "Mon" "Mon_Tue"
-"2006-08-01" "Tue" "Tue" "Tue_Wed"
-"2006-08-02" "Wed" "Wed" "Wed_Thu"
-"2006-08-03" "Thu" "Thu" "Thu_Fri"
-"2006-08-04" "Fri" "Fri" "Fri_Sat"
-"2006-08-05" "Sat" "Sat" "Sat_Sun"
-"2006-08-06" "Sun" "Sun" "Sun_Mon"
-"2006-08-07" "Mon" "Mon" "Mon_Tue"
-"2006-08-08" "Tue" "Tue" "Tue_Wed"
-"2006-08-09" "Wed" "Wed" "Wed_Thu"
-"2006-08-10" "Thu" "Thu" "Thu_Fri"
-"2006-08-11" "Fri" "Fri" "Fri_Sat"
-"2006-08-12" "Sat" "Sat" "Sat_Sun"
-"2006-08-13" "Sun" "Sun" "Sun_Mon"
-"2006-08-14" "Mon" "Mon" "Mon_Hol"
-"2006-08-15" "Tue" "Hol" "Hol_Wed"
-"2006-08-16" "Wed" "Wed" "Wed_Thu"
-"2006-08-17" "Thu" "Thu" "Thu_Fri"
-"2006-08-18" "Fri" "Fri" "Fri_Sat"
-"2006-08-19" "Sat" "Sat" "Sat_Sun"
-"2006-08-20" "Sun" "Sun" "Sun_Mon"
-"2006-08-21" "Mon" "Mon" "Mon_Tue"
-"2006-08-22" "Tue" "Tue" "Tue_Wed"
-"2006-08-23" "Wed" "Wed" "Wed_Thu"
-"2006-08-24" "Thu" "Thu" "Thu_Fri"
-"2006-08-25" "Fri" "Fri" "Fri_Sat"
-"2006-08-26" "Sat" "Sat" "Sat_Sun"
-"2006-08-27" "Sun" "Sun" "Sun_Mon"
-"2006-08-28" "Mon" "Mon" "Mon_Tue"
-"2006-08-29" "Tue" "Tue" "Tue_Wed"
-"2006-08-30" "Wed" "Wed" "Wed_Thu"
-"2006-08-31" "Thu" "Thu" "Thu_Fri"
-"2006-09-01" "Fri" "Fri" "Fri_Sat"
-"2006-09-02" "Sat" "Sat" "Sat_Sun"
-"2006-09-03" "Sun" "Sun" "Sun_Mon"
-"2006-09-04" "Mon" "Mon" "Mon_Tue"
-"2006-09-05" "Tue" "Tue" "Tue_Wed"
-"2006-09-06" "Wed" "Wed" "Wed_Thu"
-"2006-09-07" "Thu" "Thu" "Thu_Fri"
-"2006-09-08" "Fri" "Fri" "Fri_Sat"
-"2006-09-09" "Sat" "Sat" "Sat_Sun"
-"2006-09-10" "Sun" "Sun" "Sun_Mon"
-"2006-09-11" "Mon" "Mon" "Mon_Tue"
-"2006-09-12" "Tue" "Tue" "Tue_Wed"
-"2006-09-13" "Wed" "Wed" "Wed_Thu"
-"2006-09-14" "Thu" "Thu" "Thu_Fri"
-"2006-09-15" "Fri" "Fri" "Fri_Sat"
-"2006-09-16" "Sat" "Sat" "Sat_Sun"
-"2006-09-17" "Sun" "Sun" "Sun_Mon"
-"2006-09-18" "Mon" "Mon" "Mon_Tue"
-"2006-09-19" "Tue" "Tue" "Tue_Wed"
-"2006-09-20" "Wed" "Wed" "Wed_Thu"
-"2006-09-21" "Thu" "Thu" "Thu_Fri"
-"2006-09-22" "Fri" "Fri" "Fri_Sat"
-"2006-09-23" "Sat" "Sat" "Sat_Sun"
-"2006-09-24" "Sun" "Sun" "Sun_Mon"
-"2006-09-25" "Mon" "Mon" "Mon_Tue"
-"2006-09-26" "Tue" "Tue" "Tue_Wed"
-"2006-09-27" "Wed" "Wed" "Wed_Thu"
-"2006-09-28" "Thu" "Thu" "Thu_Fri"
-"2006-09-29" "Fri" "Fri" "Fri_Sat"
-"2006-09-30" "Sat" "Sat" "Sat_Sun"
-"2006-10-01" "Sun" "Sun" "Sun_Mon"
-"2006-10-02" "Mon" "Mon" "Mon_Tue"
-"2006-10-03" "Tue" "Tue" "Tue_Wed"
-"2006-10-04" "Wed" "Wed" "Wed_Thu"
-"2006-10-05" "Thu" "Thu" "Thu_Fri"
-"2006-10-06" "Fri" "Fri" "Fri_Sat"
-"2006-10-07" "Sat" "Sat" "Sat_Sun"
-"2006-10-08" "Sun" "Sun" "Sun_Mon"
-"2006-10-09" "Mon" "Mon" "Mon_Tue"
-"2006-10-10" "Tue" "Tue" "Tue_Wed"
-"2006-10-11" "Wed" "Wed" "Wed_Thu"
-"2006-10-12" "Thu" "Thu" "Thu_Fri"
-"2006-10-13" "Fri" "Fri" "Fri_Sat"
-"2006-10-14" "Sat" "Sat" "Sat_Sun"
-"2006-10-15" "Sun" "Sun" "Sun_Mon"
-"2006-10-16" "Mon" "Mon" "Mon_Tue"
-"2006-10-17" "Tue" "Tue" "Tue_Wed"
-"2006-10-18" "Wed" "Wed" "Wed_Thu"
-"2006-10-19" "Thu" "Thu" "Thu_Fri"
-"2006-10-20" "Fri" "Fri" "Fri_Sat"
-"2006-10-21" "Sat" "Sat" "Sat_Sun"
-"2006-10-22" "Sun" "Sun" "Sun_Mon"
-"2006-10-23" "Mon" "Mon" "Mon_Tue"
-"2006-10-24" "Tue" "Tue" "Tue_Wed"
-"2006-10-25" "Wed" "Wed" "Wed_Thu"
-"2006-10-26" "Thu" "Thu" "Thu_Fri"
-"2006-10-27" "Fri" "Fri" "Fri_Sat"
-"2006-10-28" "Sat" "Sat" "Sat_Sun"
-"2006-10-29" "Sun" "Sun" "Sun_Mon"
-"2006-10-30" "Mon" "Mon" "Mon_Tue"
-"2006-10-31" "Tue" "Tue" "Tue_Hol"
-"2006-11-01" "Wed" "Hol" "Hol_Thu"
-"2006-11-02" "Thu" "Thu" "Thu_Fri"
-"2006-11-03" "Fri" "Fri" "Fri_Sat"
-"2006-11-04" "Sat" "Sat" "Sat_Sun"
-"2006-11-05" "Sun" "Sun" "Sun_Mon"
-"2006-11-06" "Mon" "Mon" "Mon_Tue"
-"2006-11-07" "Tue" "Tue" "Tue_Wed"
-"2006-11-08" "Wed" "Wed" "Wed_Thu"
-"2006-11-09" "Thu" "Thu" "Thu_Fri"
-"2006-11-10" "Fri" "Fri" "Fri_Hol"
-"2006-11-11" "Sat" "Hol" "Hol_Sun"
-"2006-11-12" "Sun" "Sun" "Sun_Mon"
-"2006-11-13" "Mon" "Mon" "Mon_Tue"
-"2006-11-14" "Tue" "Tue" "Tue_Wed"
-"2006-11-15" "Wed" "Wed" "Wed_Thu"
-"2006-11-16" "Thu" "Thu" "Thu_Fri"
-"2006-11-17" "Fri" "Fri" "Fri_Sat"
-"2006-11-18" "Sat" "Sat" "Sat_Sun"
-"2006-11-19" "Sun" "Sun" "Sun_Mon"
-"2006-11-20" "Mon" "Mon" "Mon_Tue"
-"2006-11-21" "Tue" "Tue" "Tue_Wed"
-"2006-11-22" "Wed" "Wed" "Wed_Thu"
-"2006-11-23" "Thu" "Thu" "Thu_Fri"
-"2006-11-24" "Fri" "Fri" "Fri_Sat"
-"2006-11-25" "Sat" "Sat" "Sat_Sun"
-"2006-11-26" "Sun" "Sun" "Sun_Mon"
-"2006-11-27" "Mon" "Mon" "Mon_Tue"
-"2006-11-28" "Tue" "Tue" "Tue_Wed"
-"2006-11-29" "Wed" "Wed" "Wed_Thu"
-"2006-11-30" "Thu" "Thu" "Thu_Fri"
-"2006-12-01" "Fri" "Fri" "Fri_Sat"
-"2006-12-02" "Sat" "Sat" "Sat_Sun"
-"2006-12-03" "Sun" "Sun" "Sun_Mon"
-"2006-12-04" "Mon" "Mon" "Mon_Tue"
-"2006-12-05" "Tue" "Tue" "Tue_Wed"
-"2006-12-06" "Wed" "Wed" "Wed_Thu"
-"2006-12-07" "Thu" "Thu" "Thu_Fri"
-"2006-12-08" "Fri" "Fri" "Fri_Sat"
-"2006-12-09" "Sat" "Sat" "Sat_Sun"
-"2006-12-10" "Sun" "Sun" "Sun_Mon"
-"2006-12-11" "Mon" "Mon" "Mon_Tue"
-"2006-12-12" "Tue" "Tue" "Tue_Wed"
-"2006-12-13" "Wed" "Wed" "Wed_Thu"
-"2006-12-14" "Thu" "Thu" "Thu_Fri"
-"2006-12-15" "Fri" "Fri" "Fri_Sat"
-"2006-12-16" "Sat" "Sat" "Sat_Sun"
-"2006-12-17" "Sun" "Sun" "Sun_Mon"
-"2006-12-18" "Mon" "Mon" "Mon_Tue"
-"2006-12-19" "Tue" "Tue" "Tue_Wed"
-"2006-12-20" "Wed" "Wed" "Wed_Thu"
-"2006-12-21" "Thu" "Thu" "Thu_Fri"
-"2006-12-22" "Fri" "Fri" "Fri_Sat"
-"2006-12-23" "Sat" "Sat" "Sat_Sun"
-"2006-12-24" "Sun" "Sun" "Sun_Hol"
-"2006-12-25" "Mon" "Hol" "Hol_Tue"
-"2006-12-26" "Tue" "Tue" "Tue_Wed"
-"2006-12-27" "Wed" "Wed" "Wed_Thu"
-"2006-12-28" "Thu" "Thu" "Thu_Fri"
-"2006-12-29" "Fri" "Fri" "Fri_Sat"
-"2006-12-30" "Sat" "Sat" "Sat_Sun"
-"2006-12-31" "Sun" "Sun" "Sun_Hol"
-"2007-01-01" "Mon" "Hol" "Hol_Tue"
-"2007-01-02" "Tue" "Tue" "Tue_Wed"
-"2007-01-03" "Wed" "Wed" "Wed_Thu"
-"2007-01-04" "Thu" "Thu" "Thu_Fri"
-"2007-01-05" "Fri" "Fri" "Fri_Sat"
-"2007-01-06" "Sat" "Sat" "Sat_Sun"
-"2007-01-07" "Sun" "Sun" "Sun_Mon"
-"2007-01-08" "Mon" "Mon" "Mon_Tue"
-"2007-01-09" "Tue" "Tue" "Tue_Wed"
-"2007-01-10" "Wed" "Wed" "Wed_Thu"
-"2007-01-11" "Thu" "Thu" "Thu_Fri"
-"2007-01-12" "Fri" "Fri" "Fri_Sat"
-"2007-01-13" "Sat" "Sat" "Sat_Sun"
-"2007-01-14" "Sun" "Sun" "Sun_Mon"
-"2007-01-15" "Mon" "Mon" "Mon_Tue"
-"2007-01-16" "Tue" "Tue" "Tue_Wed"
-"2007-01-17" "Wed" "Wed" "Wed_Thu"
-"2007-01-18" "Thu" "Thu" "Thu_Fri"
-"2007-01-19" "Fri" "Fri" "Fri_Sat"
-"2007-01-20" "Sat" "Sat" "Sat_Sun"
-"2007-01-21" "Sun" "Sun" "Sun_Mon"
-"2007-01-22" "Mon" "Mon" "Mon_Tue"
-"2007-01-23" "Tue" "Tue" "Tue_Wed"
-"2007-01-24" "Wed" "Wed" "Wed_Thu"
-"2007-01-25" "Thu" "Thu" "Thu_Fri"
-"2007-01-26" "Fri" "Fri" "Fri_Sat"
-"2007-01-27" "Sat" "Sat" "Sat_Sun"
-"2007-01-28" "Sun" "Sun" "Sun_Mon"
-"2007-01-29" "Mon" "Mon" "Mon_Tue"
-"2007-01-30" "Tue" "Tue" "Tue_Wed"
-"2007-01-31" "Wed" "Wed" "Wed_Thu"
-"2007-02-01" "Thu" "Thu" "Thu_Fri"
-"2007-02-02" "Fri" "Fri" "Fri_Sat"
-"2007-02-03" "Sat" "Sat" "Sat_Sun"
-"2007-02-04" "Sun" "Sun" "Sun_Mon"
-"2007-02-05" "Mon" "Mon" "Mon_Tue"
-"2007-02-06" "Tue" "Tue" "Tue_Wed"
-"2007-02-07" "Wed" "Wed" "Wed_Thu"
-"2007-02-08" "Thu" "Thu" "Thu_Fri"
-"2007-02-09" "Fri" "Fri" "Fri_Sat"
-"2007-02-10" "Sat" "Sat" "Sat_Sun"
-"2007-02-11" "Sun" "Sun" "Sun_Mon"
-"2007-02-12" "Mon" "Mon" "Mon_Tue"
-"2007-02-13" "Tue" "Tue" "Tue_Wed"
-"2007-02-14" "Wed" "Wed" "Wed_Thu"
-"2007-02-15" "Thu" "Thu" "Thu_Fri"
-"2007-02-16" "Fri" "Fri" "Fri_Sat"
-"2007-02-17" "Sat" "Sat" "Sat_Sun"
-"2007-02-18" "Sun" "Sun" "Sun_Mon"
-"2007-02-19" "Mon" "Mon" "Mon_Tue"
-"2007-02-20" "Tue" "Tue" "Tue_Wed"
-"2007-02-21" "Wed" "Wed" "Wed_Thu"
-"2007-02-22" "Thu" "Thu" "Thu_Fri"
-"2007-02-23" "Fri" "Fri" "Fri_Sat"
-"2007-02-24" "Sat" "Sat" "Sat_Sun"
-"2007-02-25" "Sun" "Sun" "Sun_Mon"
-"2007-02-26" "Mon" "Mon" "Mon_Tue"
-"2007-02-27" "Tue" "Tue" "Tue_Wed"
-"2007-02-28" "Wed" "Wed" "Wed_Thu"
-"2007-03-01" "Thu" "Thu" "Thu_Fri"
-"2007-03-02" "Fri" "Fri" "Fri_Sat"
-"2007-03-03" "Sat" "Sat" "Sat_Sun"
-"2007-03-04" "Sun" "Sun" "Sun_Mon"
-"2007-03-05" "Mon" "Mon" "Mon_Tue"
-"2007-03-06" "Tue" "Tue" "Tue_Wed"
-"2007-03-07" "Wed" "Wed" "Wed_Thu"
-"2007-03-08" "Thu" "Thu" "Thu_Fri"
-"2007-03-09" "Fri" "Fri" "Fri_Sat"
-"2007-03-10" "Sat" "Sat" "Sat_Sun"
-"2007-03-11" "Sun" "Sun" "Sun_Mon"
-"2007-03-12" "Mon" "Mon" "Mon_Tue"
-"2007-03-13" "Tue" "Tue" "Tue_Wed"
-"2007-03-14" "Wed" "Wed" "Wed_Thu"
-"2007-03-15" "Thu" "Thu" "Thu_Fri"
-"2007-03-16" "Fri" "Fri" "Fri_Sat"
-"2007-03-17" "Sat" "Sat" "Sat_Sun"
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-"2007-03-19" "Mon" "Mon" "Mon_Tue"
-"2007-03-20" "Tue" "Tue" "Tue_Wed"
-"2007-03-21" "Wed" "Wed" "Wed_Thu"
-"2007-03-22" "Thu" "Thu" "Thu_Fri"
-"2007-03-23" "Fri" "Fri" "Fri_Sat"
-"2007-03-24" "Sat" "Sat" "Sat_Sun"
-"2007-03-25" "Sun" "Sun" "Sun_Mon"
-"2007-03-26" "Mon" "Mon" "Mon_Tue"
-"2007-03-27" "Tue" "Tue" "Tue_Wed"
-"2007-03-28" "Wed" "Wed" "Wed_Thu"
-"2007-03-29" "Thu" "Thu" "Thu_Fri"
-"2007-03-30" "Fri" "Fri" "Fri_Sat"
-"2007-03-31" "Sat" "Sat" "Sat_Sun"
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-"2007-04-02" "Mon" "Mon" "Mon_Tue"
-"2007-04-03" "Tue" "Tue" "Tue_Wed"
-"2007-04-04" "Wed" "Wed" "Wed_Thu"
-"2007-04-05" "Thu" "Thu" "Thu_Fri"
-"2007-04-06" "Fri" "Fri" "Fri_Sat"
-"2007-04-07" "Sat" "Sat" "Sat_Sun"
-"2007-04-08" "Sun" "Sun" "Sun_Hol"
-"2007-04-09" "Mon" "Hol" "Hol_Tue"
-"2007-04-10" "Tue" "Tue" "Tue_Wed"
-"2007-04-11" "Wed" "Wed" "Wed_Thu"
-"2007-04-12" "Thu" "Thu" "Thu_Fri"
-"2007-04-13" "Fri" "Fri" "Fri_Sat"
-"2007-04-14" "Sat" "Sat" "Sat_Sun"
-"2007-04-15" "Sun" "Sun" "Sun_Mon"
-"2007-04-16" "Mon" "Mon" "Mon_Tue"
-"2007-04-17" "Tue" "Tue" "Tue_Wed"
-"2007-04-18" "Wed" "Wed" "Wed_Thu"
-"2007-04-19" "Thu" "Thu" "Thu_Fri"
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-"2007-04-21" "Sat" "Sat" "Sat_Sun"
-"2007-04-22" "Sun" "Sun" "Sun_Mon"
-"2007-04-23" "Mon" "Mon" "Mon_Tue"
-"2007-04-24" "Tue" "Tue" "Tue_Wed"
-"2007-04-25" "Wed" "Wed" "Wed_Thu"
-"2007-04-26" "Thu" "Thu" "Thu_Fri"
-"2007-04-27" "Fri" "Fri" "Fri_Sat"
-"2007-04-28" "Sat" "Sat" "Sat_Sun"
-"2007-04-29" "Sun" "Sun" "Sun_Mon"
-"2007-04-30" "Mon" "Mon" "Mon_Hol"
-"2007-05-01" "Tue" "Hol" "Hol_Wed"
-"2007-05-02" "Wed" "Wed" "Wed_Thu"
-"2007-05-03" "Thu" "Thu" "Thu_Fri"
-"2007-05-04" "Fri" "Fri" "Fri_Sat"
-"2007-05-05" "Sat" "Sat" "Sat_Sun"
-"2007-05-06" "Sun" "Sun" "Sun_Mon"
-"2007-05-07" "Mon" "Mon" "Mon_Hol"
-"2007-05-08" "Tue" "Hol" "Hol_Wed"
-"2007-05-09" "Wed" "Wed" "Wed_Thu"
-"2007-05-10" "Thu" "Thu" "Thu_Fri"
-"2007-05-11" "Fri" "Fri" "Fri_Sat"
-"2007-05-12" "Sat" "Sat" "Sat_Sun"
-"2007-05-13" "Sun" "Sun" "Sun_Mon"
-"2007-05-14" "Mon" "Mon" "Mon_Tue"
-"2007-05-15" "Tue" "Tue" "Tue_Wed"
-"2007-05-16" "Wed" "Wed" "Wed_Hol"
-"2007-05-17" "Thu" "Hol" "Hol_Fri"
-"2007-05-18" "Fri" "Fri" "Fri_Sat"
-"2007-05-19" "Sat" "Sat" "Sat_Sun"
-"2007-05-20" "Sun" "Sun" "Sun_Mon"
-"2007-05-21" "Mon" "Mon" "Mon_Tue"
-"2007-05-22" "Tue" "Tue" "Tue_Wed"
-"2007-05-23" "Wed" "Wed" "Wed_Thu"
-"2007-05-24" "Thu" "Thu" "Thu_Fri"
-"2007-05-25" "Fri" "Fri" "Fri_Sat"
-"2007-05-26" "Sat" "Sat" "Sat_Sun"
-"2007-05-27" "Sun" "Sun" "Sun_Hol"
-"2007-05-28" "Mon" "Hol" "Hol_Tue"
-"2007-05-29" "Tue" "Tue" "Tue_Wed"
-"2007-05-30" "Wed" "Wed" "Wed_Thu"
-"2007-05-31" "Thu" "Thu" "Thu_Fri"
-"2007-06-01" "Fri" "Fri" "Fri_Sat"
-"2007-06-02" "Sat" "Sat" "Sat_Sun"
-"2007-06-03" "Sun" "Sun" "Sun_Mon"
-"2007-06-04" "Mon" "Mon" "Mon_Tue"
-"2007-06-05" "Tue" "Tue" "Tue_Wed"
-"2007-06-06" "Wed" "Wed" "Wed_Thu"
-"2007-06-07" "Thu" "Thu" "Thu_Fri"
-"2007-06-08" "Fri" "Fri" "Fri_Sat"
-"2007-06-09" "Sat" "Sat" "Sat_Sun"
-"2007-06-10" "Sun" "Sun" "Sun_Mon"
-"2007-06-11" "Mon" "Mon" "Mon_Tue"
-"2007-06-12" "Tue" "Tue" "Tue_Wed"
-"2007-06-13" "Wed" "Wed" "Wed_Thu"
-"2007-06-14" "Thu" "Thu" "Thu_Fri"
-"2007-06-15" "Fri" "Fri" "Fri_Sat"
-"2007-06-16" "Sat" "Sat" "Sat_Sun"
-"2007-06-17" "Sun" "Sun" "Sun_Mon"
-"2007-06-18" "Mon" "Mon" "Mon_Tue"
-"2007-06-19" "Tue" "Tue" "Tue_Wed"
-"2007-06-20" "Wed" "Wed" "Wed_Thu"
-"2007-06-21" "Thu" "Thu" "Thu_Fri"
-"2007-06-22" "Fri" "Fri" "Fri_Sat"
-"2007-06-23" "Sat" "Sat" "Sat_Sun"
-"2007-06-24" "Sun" "Sun" "Sun_Mon"
-"2007-06-25" "Mon" "Mon" "Mon_Tue"
-"2007-06-26" "Tue" "Tue" "Tue_Wed"
-"2007-06-27" "Wed" "Wed" "Wed_Thu"
-"2007-06-28" "Thu" "Thu" "Thu_Fri"
-"2007-06-29" "Fri" "Fri" "Fri_Sat"
-"2007-06-30" "Sat" "Sat" "Sat_Sun"
-"2007-07-01" "Sun" "Sun" "Sun_Mon"
-"2007-07-02" "Mon" "Mon" "Mon_Tue"
-"2007-07-03" "Tue" "Tue" "Tue_Wed"
-"2007-07-04" "Wed" "Wed" "Wed_Thu"
-"2007-07-05" "Thu" "Thu" "Thu_Fri"
-"2007-07-06" "Fri" "Fri" "Fri_Sat"
-"2007-07-07" "Sat" "Sat" "Sat_Sun"
-"2007-07-08" "Sun" "Sun" "Sun_Mon"
-"2007-07-09" "Mon" "Mon" "Mon_Tue"
-"2007-07-10" "Tue" "Tue" "Tue_Wed"
-"2007-07-11" "Wed" "Wed" "Wed_Thu"
-"2007-07-12" "Thu" "Thu" "Thu_Fri"
-"2007-07-13" "Fri" "Fri" "Fri_Hol"
-"2007-07-14" "Sat" "Hol" "Hol_Sun"
-"2007-07-15" "Sun" "Sun" "Sun_Mon"
-"2007-07-16" "Mon" "Mon" "Mon_Tue"
-"2007-07-17" "Tue" "Tue" "Tue_Wed"
-"2007-07-18" "Wed" "Wed" "Wed_Thu"
-"2007-07-19" "Thu" "Thu" "Thu_Fri"
-"2007-07-20" "Fri" "Fri" "Fri_Sat"
-"2007-07-21" "Sat" "Sat" "Sat_Sun"
-"2007-07-22" "Sun" "Sun" "Sun_Mon"
-"2007-07-23" "Mon" "Mon" "Mon_Tue"
-"2007-07-24" "Tue" "Tue" "Tue_Wed"
-"2007-07-25" "Wed" "Wed" "Wed_Thu"
-"2007-07-26" "Thu" "Thu" "Thu_Fri"
-"2007-07-27" "Fri" "Fri" "Fri_Sat"
-"2007-07-28" "Sat" "Sat" "Sat_Sun"
-"2007-07-29" "Sun" "Sun" "Sun_Mon"
-"2007-07-30" "Mon" "Mon" "Mon_Tue"
-"2007-07-31" "Tue" "Tue" "Tue_Wed"
-"2007-08-01" "Wed" "Wed" "Wed_Thu"
-"2007-08-02" "Thu" "Thu" "Thu_Fri"
-"2007-08-03" "Fri" "Fri" "Fri_Sat"
-"2007-08-04" "Sat" "Sat" "Sat_Sun"
-"2007-08-05" "Sun" "Sun" "Sun_Mon"
-"2007-08-06" "Mon" "Mon" "Mon_Tue"
-"2007-08-07" "Tue" "Tue" "Tue_Wed"
-"2007-08-08" "Wed" "Wed" "Wed_Thu"
-"2007-08-09" "Thu" "Thu" "Thu_Fri"
-"2007-08-10" "Fri" "Fri" "Fri_Sat"
-"2007-08-11" "Sat" "Sat" "Sat_Sun"
-"2007-08-12" "Sun" "Sun" "Sun_Mon"
-"2007-08-13" "Mon" "Mon" "Mon_Tue"
-"2007-08-14" "Tue" "Tue" "Tue_Hol"
-"2007-08-15" "Wed" "Hol" "Hol_Thu"
-"2007-08-16" "Thu" "Thu" "Thu_Fri"
-"2007-08-17" "Fri" "Fri" "Fri_Sat"
-"2007-08-18" "Sat" "Sat" "Sat_Sun"
-"2007-08-19" "Sun" "Sun" "Sun_Mon"
-"2007-08-20" "Mon" "Mon" "Mon_Tue"
-"2007-08-21" "Tue" "Tue" "Tue_Wed"
-"2007-08-22" "Wed" "Wed" "Wed_Thu"
-"2007-08-23" "Thu" "Thu" "Thu_Fri"
-"2007-08-24" "Fri" "Fri" "Fri_Sat"
-"2007-08-25" "Sat" "Sat" "Sat_Sun"
-"2007-08-26" "Sun" "Sun" "Sun_Mon"
-"2007-08-27" "Mon" "Mon" "Mon_Tue"
-"2007-08-28" "Tue" "Tue" "Tue_Wed"
-"2007-08-29" "Wed" "Wed" "Wed_Thu"
-"2007-08-30" "Thu" "Thu" "Thu_Fri"
-"2007-08-31" "Fri" "Fri" "Fri_Sat"
-"2007-09-01" "Sat" "Sat" "Sat_Sun"
-"2007-09-02" "Sun" "Sun" "Sun_Mon"
-"2007-09-03" "Mon" "Mon" "Mon_Tue"
-"2007-09-04" "Tue" "Tue" "Tue_Wed"
-"2007-09-05" "Wed" "Wed" "Wed_Thu"
-"2007-09-06" "Thu" "Thu" "Thu_Fri"
-"2007-09-07" "Fri" "Fri" "Fri_Sat"
-"2007-09-08" "Sat" "Sat" "Sat_Sun"
-"2007-09-09" "Sun" "Sun" "Sun_Mon"
-"2007-09-10" "Mon" "Mon" "Mon_Tue"
-"2007-09-11" "Tue" "Tue" "Tue_Wed"
-"2007-09-12" "Wed" "Wed" "Wed_Thu"
-"2007-09-13" "Thu" "Thu" "Thu_Fri"
-"2007-09-14" "Fri" "Fri" "Fri_Sat"
-"2007-09-15" "Sat" "Sat" "Sat_Sun"
-"2007-09-16" "Sun" "Sun" "Sun_Mon"
-"2007-09-17" "Mon" "Mon" "Mon_Tue"
-"2007-09-18" "Tue" "Tue" "Tue_Wed"
-"2007-09-19" "Wed" "Wed" "Wed_Thu"
-"2007-09-20" "Thu" "Thu" "Thu_Fri"
-"2007-09-21" "Fri" "Fri" "Fri_Sat"
-"2007-09-22" "Sat" "Sat" "Sat_Sun"
-"2007-09-23" "Sun" "Sun" "Sun_Mon"
-"2007-09-24" "Mon" "Mon" "Mon_Tue"
-"2007-09-25" "Tue" "Tue" "Tue_Wed"
-"2007-09-26" "Wed" "Wed" "Wed_Thu"
-"2007-09-27" "Thu" "Thu" "Thu_Fri"
-"2007-09-28" "Fri" "Fri" "Fri_Sat"
-"2007-09-29" "Sat" "Sat" "Sat_Sun"
-"2007-09-30" "Sun" "Sun" "Sun_Mon"
-"2007-10-01" "Mon" "Mon" "Mon_Tue"
-"2007-10-02" "Tue" "Tue" "Tue_Wed"
-"2007-10-03" "Wed" "Wed" "Wed_Thu"
-"2007-10-04" "Thu" "Thu" "Thu_Fri"
-"2007-10-05" "Fri" "Fri" "Fri_Sat"
-"2007-10-06" "Sat" "Sat" "Sat_Sun"
-"2007-10-07" "Sun" "Sun" "Sun_Mon"
-"2007-10-08" "Mon" "Mon" "Mon_Tue"
-"2007-10-09" "Tue" "Tue" "Tue_Wed"
-"2007-10-10" "Wed" "Wed" "Wed_Thu"
-"2007-10-11" "Thu" "Thu" "Thu_Fri"
-"2007-10-12" "Fri" "Fri" "Fri_Sat"
-"2007-10-13" "Sat" "Sat" "Sat_Sun"
-"2007-10-14" "Sun" "Sun" "Sun_Mon"
-"2007-10-15" "Mon" "Mon" "Mon_Tue"
-"2007-10-16" "Tue" "Tue" "Tue_Wed"
-"2007-10-17" "Wed" "Wed" "Wed_Thu"
-"2007-10-18" "Thu" "Thu" "Thu_Fri"
-"2007-10-19" "Fri" "Fri" "Fri_Sat"
-"2007-10-20" "Sat" "Sat" "Sat_Sun"
-"2007-10-21" "Sun" "Sun" "Sun_Mon"
-"2007-10-22" "Mon" "Mon" "Mon_Tue"
-"2007-10-23" "Tue" "Tue" "Tue_Wed"
-"2007-10-24" "Wed" "Wed" "Wed_Thu"
-"2007-10-25" "Thu" "Thu" "Thu_Fri"
-"2007-10-26" "Fri" "Fri" "Fri_Sat"
-"2007-10-27" "Sat" "Sat" "Sat_Sun"
-"2007-10-28" "Sun" "Sun" "Sun_Mon"
-"2007-10-29" "Mon" "Mon" "Mon_Tue"
-"2007-10-30" "Tue" "Tue" "Tue_Wed"
-"2007-10-31" "Wed" "Wed" "Wed_Hol"
-"2007-11-01" "Thu" "Hol" "Hol_Fri"
-"2007-11-02" "Fri" "Fri" "Fri_Sat"
-"2007-11-03" "Sat" "Sat" "Sat_Sun"
-"2007-11-04" "Sun" "Sun" "Sun_Mon"
-"2007-11-05" "Mon" "Mon" "Mon_Tue"
-"2007-11-06" "Tue" "Tue" "Tue_Wed"
-"2007-11-07" "Wed" "Wed" "Wed_Thu"
-"2007-11-08" "Thu" "Thu" "Thu_Fri"
-"2007-11-09" "Fri" "Fri" "Fri_Sat"
-"2007-11-10" "Sat" "Sat" "Sat_Hol"
-"2007-11-11" "Sun" "Hol" "Hol_Mon"
-"2007-11-12" "Mon" "Mon" "Mon_Tue"
-"2007-11-13" "Tue" "Tue" "Tue_Wed"
-"2007-11-14" "Wed" "Wed" "Wed_Thu"
-"2007-11-15" "Thu" "Thu" "Thu_Fri"
-"2007-11-16" "Fri" "Fri" "Fri_Sat"
-"2007-11-17" "Sat" "Sat" "Sat_Sun"
-"2007-11-18" "Sun" "Sun" "Sun_Mon"
-"2007-11-19" "Mon" "Mon" "Mon_Tue"
-"2007-11-20" "Tue" "Tue" "Tue_Wed"
-"2007-11-21" "Wed" "Wed" "Wed_Thu"
-"2007-11-22" "Thu" "Thu" "Thu_Fri"
-"2007-11-23" "Fri" "Fri" "Fri_Sat"
-"2007-11-24" "Sat" "Sat" "Sat_Sun"
-"2007-11-25" "Sun" "Sun" "Sun_Mon"
-"2007-11-26" "Mon" "Mon" "Mon_Tue"
-"2007-11-27" "Tue" "Tue" "Tue_Wed"
-"2007-11-28" "Wed" "Wed" "Wed_Thu"
-"2007-11-29" "Thu" "Thu" "Thu_Fri"
-"2007-11-30" "Fri" "Fri" "Fri_Sat"
-"2007-12-01" "Sat" "Sat" "Sat_Sun"
-"2007-12-02" "Sun" "Sun" "Sun_Mon"
-"2007-12-03" "Mon" "Mon" "Mon_Tue"
-"2007-12-04" "Tue" "Tue" "Tue_Wed"
-"2007-12-05" "Wed" "Wed" "Wed_Thu"
-"2007-12-06" "Thu" "Thu" "Thu_Fri"
-"2007-12-07" "Fri" "Fri" "Fri_Sat"
-"2007-12-08" "Sat" "Sat" "Sat_Sun"
-"2007-12-09" "Sun" "Sun" "Sun_Mon"
-"2007-12-10" "Mon" "Mon" "Mon_Tue"
-"2007-12-11" "Tue" "Tue" "Tue_Wed"
-"2007-12-12" "Wed" "Wed" "Wed_Thu"
-"2007-12-13" "Thu" "Thu" "Thu_Fri"
-"2007-12-14" "Fri" "Fri" "Fri_Sat"
-"2007-12-15" "Sat" "Sat" "Sat_Sun"
-"2007-12-16" "Sun" "Sun" "Sun_Mon"
-"2007-12-17" "Mon" "Mon" "Mon_Tue"
-"2007-12-18" "Tue" "Tue" "Tue_Wed"
-"2007-12-19" "Wed" "Wed" "Wed_Thu"
-"2007-12-20" "Thu" "Thu" "Thu_Fri"
-"2007-12-21" "Fri" "Fri" "Fri_Sat"
-"2007-12-22" "Sat" "Sat" "Sat_Sun"
-"2007-12-23" "Sun" "Sun" "Sun_Mon"
-"2007-12-24" "Mon" "Mon" "Mon_Hol"
-"2007-12-25" "Tue" "Hol" "Hol_Wed"
-"2007-12-26" "Wed" "Wed" "Wed_Thu"
-"2007-12-27" "Thu" "Thu" "Thu_Fri"
-"2007-12-28" "Fri" "Fri" "Fri_Sat"
-"2007-12-29" "Sat" "Sat" "Sat_Sun"
-"2007-12-30" "Sun" "Sun" "Sun_Mon"
-"2007-12-31" "Mon" "Mon" "Mon_Hol"
-"2008-01-01" "Tue" "Hol" "Hol_Wed"
-"2008-01-02" "Wed" "Wed" "Wed_Thu"
-"2008-01-03" "Thu" "Thu" "Thu_Fri"
-"2008-01-04" "Fri" "Fri" "Fri_Sat"
-"2008-01-05" "Sat" "Sat" "Sat_Sun"
-"2008-01-06" "Sun" "Sun" "Sun_Mon"
-"2008-01-07" "Mon" "Mon" "Mon_Tue"
-"2008-01-08" "Tue" "Tue" "Tue_Wed"
-"2008-01-09" "Wed" "Wed" "Wed_Thu"
-"2008-01-10" "Thu" "Thu" "Thu_Fri"
-"2008-01-11" "Fri" "Fri" "Fri_Sat"
-"2008-01-12" "Sat" "Sat" "Sat_Sun"
-"2008-01-13" "Sun" "Sun" "Sun_Mon"
-"2008-01-14" "Mon" "Mon" "Mon_Tue"
-"2008-01-15" "Tue" "Tue" "Tue_Wed"
-"2008-01-16" "Wed" "Wed" "Wed_Thu"
-"2008-01-17" "Thu" "Thu" "Thu_Fri"
-"2008-01-18" "Fri" "Fri" "Fri_Sat"
-"2008-01-19" "Sat" "Sat" "Sat_Sun"
-"2008-01-20" "Sun" "Sun" "Sun_Mon"
-"2008-01-21" "Mon" "Mon" "Mon_Tue"
-"2008-01-22" "Tue" "Tue" "Tue_Wed"
-"2008-01-23" "Wed" "Wed" "Wed_Thu"
-"2008-01-24" "Thu" "Thu" "Thu_Fri"
-"2008-01-25" "Fri" "Fri" "Fri_Sat"
-"2008-01-26" "Sat" "Sat" "Sat_Sun"
-"2008-01-27" "Sun" "Sun" "Sun_Mon"
-"2008-01-28" "Mon" "Mon" "Mon_Tue"
-"2008-01-29" "Tue" "Tue" "Tue_Wed"
-"2008-01-30" "Wed" "Wed" "Wed_Thu"
-"2008-01-31" "Thu" "Thu" "Thu_Fri"
-"2008-02-01" "Fri" "Fri" "Fri_Sat"
-"2008-02-02" "Sat" "Sat" "Sat_Sun"
-"2008-02-03" "Sun" "Sun" "Sun_Mon"
-"2008-02-04" "Mon" "Mon" "Mon_Tue"
-"2008-02-05" "Tue" "Tue" "Tue_Wed"
-"2008-02-06" "Wed" "Wed" "Wed_Thu"
-"2008-02-07" "Thu" "Thu" "Thu_Fri"
-"2008-02-08" "Fri" "Fri" "Fri_Sat"
-"2008-02-09" "Sat" "Sat" "Sat_Sun"
-"2008-02-10" "Sun" "Sun" "Sun_Mon"
-"2008-02-11" "Mon" "Mon" "Mon_Tue"
-"2008-02-12" "Tue" "Tue" "Tue_Wed"
-"2008-02-13" "Wed" "Wed" "Wed_Thu"
-"2008-02-14" "Thu" "Thu" "Thu_Fri"
-"2008-02-15" "Fri" "Fri" "Fri_Sat"
-"2008-02-16" "Sat" "Sat" "Sat_Sun"
-"2008-02-17" "Sun" "Sun" "Sun_Mon"
-"2008-02-18" "Mon" "Mon" "Mon_Tue"
-"2008-02-19" "Tue" "Tue" "Tue_Wed"
-"2008-02-20" "Wed" "Wed" "Wed_Thu"
-"2008-02-21" "Thu" "Thu" "Thu_Fri"
-"2008-02-22" "Fri" "Fri" "Fri_Sat"
-"2008-02-23" "Sat" "Sat" "Sat_Sun"
-"2008-02-24" "Sun" "Sun" "Sun_Mon"
-"2008-02-25" "Mon" "Mon" "Mon_Tue"
-"2008-02-26" "Tue" "Tue" "Tue_Wed"
-"2008-02-27" "Wed" "Wed" "Wed_Thu"
-"2008-02-28" "Thu" "Thu" "Thu_Fri"
-"2008-02-29" "Fri" "Fri" "Fri_Sat"
-"2008-03-01" "Sat" "Sat" "Sat_Sun"
-"2008-03-02" "Sun" "Sun" "Sun_Mon"
-"2008-03-03" "Mon" "Mon" "Mon_Tue"
-"2008-03-04" "Tue" "Tue" "Tue_Wed"
-"2008-03-05" "Wed" "Wed" "Wed_Thu"
-"2008-03-06" "Thu" "Thu" "Thu_Fri"
-"2008-03-07" "Fri" "Fri" "Fri_Sat"
-"2008-03-08" "Sat" "Sat" "Sat_Sun"
-"2008-03-09" "Sun" "Sun" "Sun_Mon"
-"2008-03-10" "Mon" "Mon" "Mon_Tue"
-"2008-03-11" "Tue" "Tue" "Tue_Wed"
-"2008-03-12" "Wed" "Wed" "Wed_Thu"
-"2008-03-13" "Thu" "Thu" "Thu_Fri"
-"2008-03-14" "Fri" "Fri" "Fri_Sat"
-"2008-03-15" "Sat" "Sat" "Sat_Sun"
-"2008-03-16" "Sun" "Sun" "Sun_Mon"
-"2008-03-17" "Mon" "Mon" "Mon_Tue"
-"2008-03-18" "Tue" "Tue" "Tue_Wed"
-"2008-03-19" "Wed" "Wed" "Wed_Thu"
-"2008-03-20" "Thu" "Thu" "Thu_Fri"
-"2008-03-21" "Fri" "Fri" "Fri_Sat"
-"2008-03-22" "Sat" "Sat" "Sat_Sun"
-"2008-03-23" "Sun" "Sun" "Sun_Hol"
-"2008-03-24" "Mon" "Hol" "Hol_Tue"
-"2008-03-25" "Tue" "Tue" "Tue_Wed"
-"2008-03-26" "Wed" "Wed" "Wed_Thu"
-"2008-03-27" "Thu" "Thu" "Thu_Fri"
-"2008-03-28" "Fri" "Fri" "Fri_Sat"
-"2008-03-29" "Sat" "Sat" "Sat_Sun"
-"2008-03-30" "Sun" "Sun" "Sun_Mon"
-"2008-03-31" "Mon" "Mon" "Mon_Tue"
-"2008-04-01" "Tue" "Tue" "Tue_Wed"
-"2008-04-02" "Wed" "Wed" "Wed_Thu"
-"2008-04-03" "Thu" "Thu" "Thu_Fri"
-"2008-04-04" "Fri" "Fri" "Fri_Sat"
-"2008-04-05" "Sat" "Sat" "Sat_Sun"
-"2008-04-06" "Sun" "Sun" "Sun_Mon"
-"2008-04-07" "Mon" "Mon" "Mon_Tue"
-"2008-04-08" "Tue" "Tue" "Tue_Wed"
-"2008-04-09" "Wed" "Wed" "Wed_Thu"
-"2008-04-10" "Thu" "Thu" "Thu_Fri"
-"2008-04-11" "Fri" "Fri" "Fri_Sat"
-"2008-04-12" "Sat" "Sat" "Sat_Sun"
-"2008-04-13" "Sun" "Sun" "Sun_Mon"
-"2008-04-14" "Mon" "Mon" "Mon_Tue"
-"2008-04-15" "Tue" "Tue" "Tue_Wed"
-"2008-04-16" "Wed" "Wed" "Wed_Thu"
-"2008-04-17" "Thu" "Thu" "Thu_Fri"
-"2008-04-18" "Fri" "Fri" "Fri_Sat"
-"2008-04-19" "Sat" "Sat" "Sat_Sun"
-"2008-04-20" "Sun" "Sun" "Sun_Mon"
-"2008-04-21" "Mon" "Mon" "Mon_Tue"
-"2008-04-22" "Tue" "Tue" "Tue_Wed"
-"2008-04-23" "Wed" "Wed" "Wed_Thu"
-"2008-04-24" "Thu" "Thu" "Thu_Fri"
-"2008-04-25" "Fri" "Fri" "Fri_Sat"
-"2008-04-26" "Sat" "Sat" "Sat_Sun"
-"2008-04-27" "Sun" "Sun" "Sun_Mon"
-"2008-04-28" "Mon" "Mon" "Mon_Tue"
-"2008-04-29" "Tue" "Tue" "Tue_Wed"
-"2008-04-30" "Wed" "Wed" "Wed_Hol"
-"2008-05-01" "Thu" "Hol" "Hol_Fri"
-"2008-05-02" "Fri" "Fri" "Fri_Sat"
-"2008-05-03" "Sat" "Sat" "Sat_Sun"
-"2008-05-04" "Sun" "Sun" "Sun_Mon"
-"2008-05-05" "Mon" "Mon" "Mon_Tue"
-"2008-05-06" "Tue" "Tue" "Tue_Wed"
-"2008-05-07" "Wed" "Wed" "Wed_Hol"
-"2008-05-08" "Thu" "Hol" "Hol_Fri"
-"2008-05-09" "Fri" "Fri" "Fri_Sat"
-"2008-05-10" "Sat" "Sat" "Sat_Sun"
-"2008-05-11" "Sun" "Sun" "Sun_Hol"
-"2008-05-12" "Mon" "Hol" "Hol_Tue"
-"2008-05-13" "Tue" "Tue" "Tue_Wed"
-"2008-05-14" "Wed" "Wed" "Wed_Thu"
-"2008-05-15" "Thu" "Thu" "Thu_Fri"
-"2008-05-16" "Fri" "Fri" "Fri_Sat"
-"2008-05-17" "Sat" "Sat" "Sat_Sun"
-"2008-05-18" "Sun" "Sun" "Sun_Mon"
-"2008-05-19" "Mon" "Mon" "Mon_Tue"
-"2008-05-20" "Tue" "Tue" "Tue_Wed"
-"2008-05-21" "Wed" "Wed" "Wed_Thu"
-"2008-05-22" "Thu" "Thu" "Thu_Fri"
-"2008-05-23" "Fri" "Fri" "Fri_Sat"
-"2008-05-24" "Sat" "Sat" "Sat_Sun"
-"2008-05-25" "Sun" "Sun" "Sun_Mon"
-"2008-05-26" "Mon" "Mon" "Mon_Tue"
-"2008-05-27" "Tue" "Tue" "Tue_Wed"
-"2008-05-28" "Wed" "Wed" "Wed_Thu"
-"2008-05-29" "Thu" "Thu" "Thu_Fri"
-"2008-05-30" "Fri" "Fri" "Fri_Sat"
-"2008-05-31" "Sat" "Sat" "Sat_Sun"
-"2008-06-01" "Sun" "Sun" "Sun_Mon"
-"2008-06-02" "Mon" "Mon" "Mon_Tue"
-"2008-06-03" "Tue" "Tue" "Tue_Wed"
-"2008-06-04" "Wed" "Wed" "Wed_Thu"
-"2008-06-05" "Thu" "Thu" "Thu_Fri"
-"2008-06-06" "Fri" "Fri" "Fri_Sat"
-"2008-06-07" "Sat" "Sat" "Sat_Sun"
-"2008-06-08" "Sun" "Sun" "Sun_Mon"
-"2008-06-09" "Mon" "Mon" "Mon_Tue"
-"2008-06-10" "Tue" "Tue" "Tue_Wed"
-"2008-06-11" "Wed" "Wed" "Wed_Thu"
-"2008-06-12" "Thu" "Thu" "Thu_Fri"
-"2008-06-13" "Fri" "Fri" "Fri_Sat"
-"2008-06-14" "Sat" "Sat" "Sat_Sun"
-"2008-06-15" "Sun" "Sun" "Sun_Mon"
-"2008-06-16" "Mon" "Mon" "Mon_Tue"
-"2008-06-17" "Tue" "Tue" "Tue_Wed"
-"2008-06-18" "Wed" "Wed" "Wed_Thu"
-"2008-06-19" "Thu" "Thu" "Thu_Fri"
-"2008-06-20" "Fri" "Fri" "Fri_Sat"
-"2008-06-21" "Sat" "Sat" "Sat_Sun"
-"2008-06-22" "Sun" "Sun" "Sun_Mon"
-"2008-06-23" "Mon" "Mon" "Mon_Tue"
-"2008-06-24" "Tue" "Tue" "Tue_Wed"
-"2008-06-25" "Wed" "Wed" "Wed_Thu"
-"2008-06-26" "Thu" "Thu" "Thu_Fri"
-"2008-06-27" "Fri" "Fri" "Fri_Sat"
-"2008-06-28" "Sat" "Sat" "Sat_Sun"
-"2008-06-29" "Sun" "Sun" "Sun_Mon"
-"2008-06-30" "Mon" "Mon" "Mon_Tue"
-"2008-07-01" "Tue" "Tue" "Tue_Wed"
-"2008-07-02" "Wed" "Wed" "Wed_Thu"
-"2008-07-03" "Thu" "Thu" "Thu_Fri"
-"2008-07-04" "Fri" "Fri" "Fri_Sat"
-"2008-07-05" "Sat" "Sat" "Sat_Sun"
-"2008-07-06" "Sun" "Sun" "Sun_Mon"
-"2008-07-07" "Mon" "Mon" "Mon_Tue"
-"2008-07-08" "Tue" "Tue" "Tue_Wed"
-"2008-07-09" "Wed" "Wed" "Wed_Thu"
-"2008-07-10" "Thu" "Thu" "Thu_Fri"
-"2008-07-11" "Fri" "Fri" "Fri_Sat"
-"2008-07-12" "Sat" "Sat" "Sat_Sun"
-"2008-07-13" "Sun" "Sun" "Sun_Hol"
-"2008-07-14" "Mon" "Hol" "Hol_Tue"
-"2008-07-15" "Tue" "Tue" "Tue_Wed"
-"2008-07-16" "Wed" "Wed" "Wed_Thu"
-"2008-07-17" "Thu" "Thu" "Thu_Fri"
-"2008-07-18" "Fri" "Fri" "Fri_Sat"
-"2008-07-19" "Sat" "Sat" "Sat_Sun"
-"2008-07-20" "Sun" "Sun" "Sun_Mon"
-"2008-07-21" "Mon" "Mon" "Mon_Tue"
-"2008-07-22" "Tue" "Tue" "Tue_Wed"
-"2008-07-23" "Wed" "Wed" "Wed_Thu"
-"2008-07-24" "Thu" "Thu" "Thu_Fri"
-"2008-07-25" "Fri" "Fri" "Fri_Sat"
-"2008-07-26" "Sat" "Sat" "Sat_Sun"
-"2008-07-27" "Sun" "Sun" "Sun_Mon"
-"2008-07-28" "Mon" "Mon" "Mon_Tue"
-"2008-07-29" "Tue" "Tue" "Tue_Wed"
-"2008-07-30" "Wed" "Wed" "Wed_Thu"
-"2008-07-31" "Thu" "Thu" "Thu_Fri"
-"2008-08-01" "Fri" "Fri" "Fri_Sat"
-"2008-08-02" "Sat" "Sat" "Sat_Sun"
-"2008-08-03" "Sun" "Sun" "Sun_Mon"
-"2008-08-04" "Mon" "Mon" "Mon_Tue"
-"2008-08-05" "Tue" "Tue" "Tue_Wed"
-"2008-08-06" "Wed" "Wed" "Wed_Thu"
-"2008-08-07" "Thu" "Thu" "Thu_Fri"
-"2008-08-08" "Fri" "Fri" "Fri_Sat"
-"2008-08-09" "Sat" "Sat" "Sat_Sun"
-"2008-08-10" "Sun" "Sun" "Sun_Mon"
-"2008-08-11" "Mon" "Mon" "Mon_Tue"
-"2008-08-12" "Tue" "Tue" "Tue_Wed"
-"2008-08-13" "Wed" "Wed" "Wed_Thu"
-"2008-08-14" "Thu" "Thu" "Thu_Hol"
-"2008-08-15" "Fri" "Hol" "Hol_Sat"
-"2008-08-16" "Sat" "Sat" "Sat_Sun"
-"2008-08-17" "Sun" "Sun" "Sun_Mon"
-"2008-08-18" "Mon" "Mon" "Mon_Tue"
-"2008-08-19" "Tue" "Tue" "Tue_Wed"
-"2008-08-20" "Wed" "Wed" "Wed_Thu"
-"2008-08-21" "Thu" "Thu" "Thu_Fri"
-"2008-08-22" "Fri" "Fri" "Fri_Sat"
-"2008-08-23" "Sat" "Sat" "Sat_Sun"
-"2008-08-24" "Sun" "Sun" "Sun_Mon"
-"2008-08-25" "Mon" "Mon" "Mon_Tue"
-"2008-08-26" "Tue" "Tue" "Tue_Wed"
-"2008-08-27" "Wed" "Wed" "Wed_Thu"
-"2008-08-28" "Thu" "Thu" "Thu_Fri"
-"2008-08-29" "Fri" "Fri" "Fri_Sat"
-"2008-08-30" "Sat" "Sat" "Sat_Sun"
-"2008-08-31" "Sun" "Sun" "Sun_Mon"
-"2008-09-01" "Mon" "Mon" "Mon_Tue"
-"2008-09-02" "Tue" "Tue" "Tue_Wed"
-"2008-09-03" "Wed" "Wed" "Wed_Thu"
-"2008-09-04" "Thu" "Thu" "Thu_Fri"
-"2008-09-05" "Fri" "Fri" "Fri_Sat"
-"2008-09-06" "Sat" "Sat" "Sat_Sun"
-"2008-09-07" "Sun" "Sun" "Sun_Mon"
-"2008-09-08" "Mon" "Mon" "Mon_Tue"
-"2008-09-09" "Tue" "Tue" "Tue_Wed"
-"2008-09-10" "Wed" "Wed" "Wed_Thu"
-"2008-09-11" "Thu" "Thu" "Thu_Fri"
-"2008-09-12" "Fri" "Fri" "Fri_Sat"
-"2008-09-13" "Sat" "Sat" "Sat_Sun"
-"2008-09-14" "Sun" "Sun" "Sun_Mon"
-"2008-09-15" "Mon" "Mon" "Mon_Tue"
-"2008-09-16" "Tue" "Tue" "Tue_Wed"
-"2008-09-17" "Wed" "Wed" "Wed_Thu"
-"2008-09-18" "Thu" "Thu" "Thu_Fri"
-"2008-09-19" "Fri" "Fri" "Fri_Sat"
-"2008-09-20" "Sat" "Sat" "Sat_Sun"
-"2008-09-21" "Sun" "Sun" "Sun_Mon"
-"2008-09-22" "Mon" "Mon" "Mon_Tue"
-"2008-09-23" "Tue" "Tue" "Tue_Wed"
-"2008-09-24" "Wed" "Wed" "Wed_Thu"
-"2008-09-25" "Thu" "Thu" "Thu_Fri"
-"2008-09-26" "Fri" "Fri" "Fri_Sat"
-"2008-09-27" "Sat" "Sat" "Sat_Sun"
-"2008-09-28" "Sun" "Sun" "Sun_Mon"
-"2008-09-29" "Mon" "Mon" "Mon_Tue"
-"2008-09-30" "Tue" "Tue" "Tue_Wed"
-"2008-10-01" "Wed" "Wed" "Wed_Thu"
-"2008-10-02" "Thu" "Thu" "Thu_Fri"
-"2008-10-03" "Fri" "Fri" "Fri_Sat"
-"2008-10-04" "Sat" "Sat" "Sat_Sun"
-"2008-10-05" "Sun" "Sun" "Sun_Mon"
-"2008-10-06" "Mon" "Mon" "Mon_Tue"
-"2008-10-07" "Tue" "Tue" "Tue_Wed"
-"2008-10-08" "Wed" "Wed" "Wed_Thu"
-"2008-10-09" "Thu" "Thu" "Thu_Fri"
-"2008-10-10" "Fri" "Fri" "Fri_Sat"
-"2008-10-11" "Sat" "Sat" "Sat_Sun"
-"2008-10-12" "Sun" "Sun" "Sun_Mon"
-"2008-10-13" "Mon" "Mon" "Mon_Tue"
-"2008-10-14" "Tue" "Tue" "Tue_Wed"
-"2008-10-15" "Wed" "Wed" "Wed_Thu"
-"2008-10-16" "Thu" "Thu" "Thu_Fri"
-"2008-10-17" "Fri" "Fri" "Fri_Sat"
-"2008-10-18" "Sat" "Sat" "Sat_Sun"
-"2008-10-19" "Sun" "Sun" "Sun_Mon"
-"2008-10-20" "Mon" "Mon" "Mon_Tue"
-"2008-10-21" "Tue" "Tue" "Tue_Wed"
-"2008-10-22" "Wed" "Wed" "Wed_Thu"
-"2008-10-23" "Thu" "Thu" "Thu_Fri"
-"2008-10-24" "Fri" "Fri" "Fri_Sat"
-"2008-10-25" "Sat" "Sat" "Sat_Sun"
-"2008-10-26" "Sun" "Sun" "Sun_Mon"
-"2008-10-27" "Mon" "Mon" "Mon_Tue"
-"2008-10-28" "Tue" "Tue" "Tue_Wed"
-"2008-10-29" "Wed" "Wed" "Wed_Thu"
-"2008-10-30" "Thu" "Thu" "Thu_Fri"
-"2008-10-31" "Fri" "Fri" "Fri_Hol"
-"2008-11-01" "Sat" "Hol" "Hol_Sun"
-"2008-11-02" "Sun" "Sun" "Sun_Mon"
-"2008-11-03" "Mon" "Mon" "Mon_Tue"
-"2008-11-04" "Tue" "Tue" "Tue_Wed"
-"2008-11-05" "Wed" "Wed" "Wed_Thu"
-"2008-11-06" "Thu" "Thu" "Thu_Fri"
-"2008-11-07" "Fri" "Fri" "Fri_Sat"
-"2008-11-08" "Sat" "Sat" "Sat_Sun"
-"2008-11-09" "Sun" "Sun" "Sun_Mon"
-"2008-11-10" "Mon" "Mon" "Mon_Hol"
-"2008-11-11" "Tue" "Hol" "Hol_Wed"
-"2008-11-12" "Wed" "Wed" "Wed_Thu"
-"2008-11-13" "Thu" "Thu" "Thu_Fri"
-"2008-11-14" "Fri" "Fri" "Fri_Sat"
-"2008-11-15" "Sat" "Sat" "Sat_Sun"
-"2008-11-16" "Sun" "Sun" "Sun_Mon"
-"2008-11-17" "Mon" "Mon" "Mon_Tue"
-"2008-11-18" "Tue" "Tue" "Tue_Wed"
-"2008-11-19" "Wed" "Wed" "Wed_Thu"
-"2008-11-20" "Thu" "Thu" "Thu_Fri"
-"2008-11-21" "Fri" "Fri" "Fri_Sat"
-"2008-11-22" "Sat" "Sat" "Sat_Sun"
-"2008-11-23" "Sun" "Sun" "Sun_Mon"
-"2008-11-24" "Mon" "Mon" "Mon_Tue"
-"2008-11-25" "Tue" "Tue" "Tue_Wed"
-"2008-11-26" "Wed" "Wed" "Wed_Thu"
-"2008-11-27" "Thu" "Thu" "Thu_Fri"
-"2008-11-28" "Fri" "Fri" "Fri_Sat"
-"2008-11-29" "Sat" "Sat" "Sat_Sun"
-"2008-11-30" "Sun" "Sun" "Sun_Mon"
-"2008-12-01" "Mon" "Mon" "Mon_Tue"
-"2008-12-02" "Tue" "Tue" "Tue_Wed"
-"2008-12-03" "Wed" "Wed" "Wed_Thu"
-"2008-12-04" "Thu" "Thu" "Thu_Fri"
-"2008-12-05" "Fri" "Fri" "Fri_Sat"
-"2008-12-06" "Sat" "Sat" "Sat_Sun"
-"2008-12-07" "Sun" "Sun" "Sun_Mon"
-"2008-12-08" "Mon" "Mon" "Mon_Tue"
-"2008-12-09" "Tue" "Tue" "Tue_Wed"
-"2008-12-10" "Wed" "Wed" "Wed_Thu"
-"2008-12-11" "Thu" "Thu" "Thu_Fri"
-"2008-12-12" "Fri" "Fri" "Fri_Sat"
-"2008-12-13" "Sat" "Sat" "Sat_Sun"
-"2008-12-14" "Sun" "Sun" "Sun_Mon"
-"2008-12-15" "Mon" "Mon" "Mon_Tue"
-"2008-12-16" "Tue" "Tue" "Tue_Wed"
-"2008-12-17" "Wed" "Wed" "Wed_Thu"
-"2008-12-18" "Thu" "Thu" "Thu_Fri"
-"2008-12-19" "Fri" "Fri" "Fri_Sat"
-"2008-12-20" "Sat" "Sat" "Sat_Sun"
-"2008-12-21" "Sun" "Sun" "Sun_Mon"
-"2008-12-22" "Mon" "Mon" "Mon_Tue"
-"2008-12-23" "Tue" "Tue" "Tue_Wed"
-"2008-12-24" "Wed" "Wed" "Wed_Hol"
-"2008-12-25" "Thu" "Hol" "Hol_Fri"
-"2008-12-26" "Fri" "Fri" "Fri_Sat"
-"2008-12-27" "Sat" "Sat" "Sat_Sun"
-"2008-12-28" "Sun" "Sun" "Sun_Mon"
-"2008-12-29" "Mon" "Mon" "Mon_Tue"
-"2008-12-30" "Tue" "Tue" "Tue_Wed"
-"2008-12-31" "Wed" "Wed" "Wed_Hol"
-"2009-01-01" "Thu" "Hol" "Hol_Fri"
-"2009-01-02" "Fri" "Fri" "Fri_Sat"
-"2009-01-03" "Sat" "Sat" "Sat_Sun"
-"2009-01-04" "Sun" "Sun" "Sun_Mon"
-"2009-01-05" "Mon" "Mon" "Mon_Tue"
-"2009-01-06" "Tue" "Tue" "Tue_Wed"
-"2009-01-07" "Wed" "Wed" "Wed_Thu"
-"2009-01-08" "Thu" "Thu" "Thu_Fri"
-"2009-01-09" "Fri" "Fri" "Fri_Sat"
-"2009-01-10" "Sat" "Sat" "Sat_Sun"
-"2009-01-11" "Sun" "Sun" "Sun_Mon"
-"2009-01-12" "Mon" "Mon" "Mon_Tue"
-"2009-01-13" "Tue" "Tue" "Tue_Wed"
-"2009-01-14" "Wed" "Wed" "Wed_Thu"
-"2009-01-15" "Thu" "Thu" "Thu_Fri"
-"2009-01-16" "Fri" "Fri" "Fri_Sat"
-"2009-01-17" "Sat" "Sat" "Sat_Sun"
-"2009-01-18" "Sun" "Sun" "Sun_Mon"
-"2009-01-19" "Mon" "Mon" "Mon_Tue"
-"2009-01-20" "Tue" "Tue" "Tue_Wed"
-"2009-01-21" "Wed" "Wed" "Wed_Thu"
-"2009-01-22" "Thu" "Thu" "Thu_Fri"
-"2009-01-23" "Fri" "Fri" "Fri_Sat"
-"2009-01-24" "Sat" "Sat" "Sat_Sun"
-"2009-01-25" "Sun" "Sun" "Sun_Mon"
-"2009-01-26" "Mon" "Mon" "Mon_Tue"
-"2009-01-27" "Tue" "Tue" "Tue_Wed"
-"2009-01-28" "Wed" "Wed" "Wed_Thu"
-"2009-01-29" "Thu" "Thu" "Thu_Fri"
-"2009-01-30" "Fri" "Fri" "Fri_Sat"
-"2009-01-31" "Sat" "Sat" "Sat_Sun"
-"2009-02-01" "Sun" "Sun" "Sun_Mon"
-"2009-02-02" "Mon" "Mon" "Mon_Tue"
-"2009-02-03" "Tue" "Tue" "Tue_Wed"
-"2009-02-04" "Wed" "Wed" "Wed_Thu"
-"2009-02-05" "Thu" "Thu" "Thu_Fri"
-"2009-02-06" "Fri" "Fri" "Fri_Sat"
-"2009-02-07" "Sat" "Sat" "Sat_Sun"
-"2009-02-08" "Sun" "Sun" "Sun_Mon"
-"2009-02-09" "Mon" "Mon" "Mon_Tue"
-"2009-02-10" "Tue" "Tue" "Tue_Wed"
-"2009-02-11" "Wed" "Wed" "Wed_Thu"
-"2009-02-12" "Thu" "Thu" "Thu_Fri"
-"2009-02-13" "Fri" "Fri" "Fri_Sat"
-"2009-02-14" "Sat" "Sat" "Sat_Sun"
-"2009-02-15" "Sun" "Sun" "Sun_Mon"
-"2009-02-16" "Mon" "Mon" "Mon_Tue"
-"2009-02-17" "Tue" "Tue" "Tue_Wed"
-"2009-02-18" "Wed" "Wed" "Wed_Thu"
-"2009-02-19" "Thu" "Thu" "Thu_Fri"
-"2009-02-20" "Fri" "Fri" "Fri_Sat"
-"2009-02-21" "Sat" "Sat" "Sat_Sun"
-"2009-02-22" "Sun" "Sun" "Sun_Mon"
-"2009-02-23" "Mon" "Mon" "Mon_Tue"
-"2009-02-24" "Tue" "Tue" "Tue_Wed"
-"2009-02-25" "Wed" "Wed" "Wed_Thu"
-"2009-02-26" "Thu" "Thu" "Thu_Fri"
-"2009-02-27" "Fri" "Fri" "Fri_Sat"
-"2009-02-28" "Sat" "Sat" "Sat_Sun"
-"2009-03-01" "Sun" "Sun" "Sun_Mon"
-"2009-03-02" "Mon" "Mon" "Mon_Tue"
-"2009-03-03" "Tue" "Tue" "Tue_Wed"
-"2009-03-04" "Wed" "Wed" "Wed_Thu"
-"2009-03-05" "Thu" "Thu" "Thu_Fri"
-"2009-03-06" "Fri" "Fri" "Fri_Sat"
-"2009-03-07" "Sat" "Sat" "Sat_Sun"
-"2009-03-08" "Sun" "Sun" "Sun_Mon"
-"2009-03-09" "Mon" "Mon" "Mon_Tue"
-"2009-03-10" "Tue" "Tue" "Tue_Wed"
-"2009-03-11" "Wed" "Wed" "Wed_Thu"
-"2009-03-12" "Thu" "Thu" "Thu_Fri"
-"2009-03-13" "Fri" "Fri" "Fri_Sat"
-"2009-03-14" "Sat" "Sat" "Sat_Sun"
-"2009-03-15" "Sun" "Sun" "Sun_Mon"
-"2009-03-16" "Mon" "Mon" "Mon_Tue"
-"2009-03-17" "Tue" "Tue" "Tue_Wed"
-"2009-03-18" "Wed" "Wed" "Wed_Thu"
-"2009-03-19" "Thu" "Thu" "Thu_Fri"
-"2009-03-20" "Fri" "Fri" "Fri_Sat"
-"2009-03-21" "Sat" "Sat" "Sat_Sun"
-"2009-03-22" "Sun" "Sun" "Sun_Mon"
-"2009-03-23" "Mon" "Mon" "Mon_Tue"
-"2009-03-24" "Tue" "Tue" "Tue_Wed"
-"2009-03-25" "Wed" "Wed" "Wed_Thu"
-"2009-03-26" "Thu" "Thu" "Thu_Fri"
-"2009-03-27" "Fri" "Fri" "Fri_Sat"
-"2009-03-28" "Sat" "Sat" "Sat_Sun"
-"2009-03-29" "Sun" "Sun" "Sun_Mon"
-"2009-03-30" "Mon" "Mon" "Mon_Tue"
-"2009-03-31" "Tue" "Tue" "Tue_Wed"
-"2009-04-01" "Wed" "Wed" "Wed_Thu"
-"2009-04-02" "Thu" "Thu" "Thu_Fri"
-"2009-04-03" "Fri" "Fri" "Fri_Sat"
-"2009-04-04" "Sat" "Sat" "Sat_Sun"
-"2009-04-05" "Sun" "Sun" "Sun_Mon"
-"2009-04-06" "Mon" "Mon" "Mon_Tue"
-"2009-04-07" "Tue" "Tue" "Tue_Wed"
-"2009-04-08" "Wed" "Wed" "Wed_Thu"
-"2009-04-09" "Thu" "Thu" "Thu_Fri"
-"2009-04-10" "Fri" "Fri" "Fri_Sat"
-"2009-04-11" "Sat" "Sat" "Sat_Sun"
-"2009-04-12" "Sun" "Sun" "Sun_Hol"
-"2009-04-13" "Mon" "Hol" "Hol_Tue"
-"2009-04-14" "Tue" "Tue" "Tue_Wed"
-"2009-04-15" "Wed" "Wed" "Wed_Thu"
-"2009-04-16" "Thu" "Thu" "Thu_Fri"
-"2009-04-17" "Fri" "Fri" "Fri_Sat"
-"2009-04-18" "Sat" "Sat" "Sat_Sun"
-"2009-04-19" "Sun" "Sun" "Sun_Mon"
-"2009-04-20" "Mon" "Mon" "Mon_Tue"
-"2009-04-21" "Tue" "Tue" "Tue_Wed"
-"2009-04-22" "Wed" "Wed" "Wed_Thu"
-"2009-04-23" "Thu" "Thu" "Thu_Fri"
-"2009-04-24" "Fri" "Fri" "Fri_Sat"
-"2009-04-25" "Sat" "Sat" "Sat_Sun"
-"2009-04-26" "Sun" "Sun" "Sun_Mon"
-"2009-04-27" "Mon" "Mon" "Mon_Tue"
-"2009-04-28" "Tue" "Tue" "Tue_Wed"
-"2009-04-29" "Wed" "Wed" "Wed_Thu"
-"2009-04-30" "Thu" "Thu" "Thu_Hol"
-"2009-05-01" "Fri" "Hol" "Hol_Sat"
-"2009-05-02" "Sat" "Sat" "Sat_Sun"
-"2009-05-03" "Sun" "Sun" "Sun_Mon"
-"2009-05-04" "Mon" "Mon" "Mon_Tue"
-"2009-05-05" "Tue" "Tue" "Tue_Wed"
-"2009-05-06" "Wed" "Wed" "Wed_Thu"
-"2009-05-07" "Thu" "Thu" "Thu_Hol"
-"2009-05-08" "Fri" "Hol" "Hol_Sat"
-"2009-05-09" "Sat" "Sat" "Sat_Sun"
-"2009-05-10" "Sun" "Sun" "Sun_Mon"
-"2009-05-11" "Mon" "Mon" "Mon_Tue"
-"2009-05-12" "Tue" "Tue" "Tue_Wed"
-"2009-05-13" "Wed" "Wed" "Wed_Thu"
-"2009-05-14" "Thu" "Thu" "Thu_Fri"
-"2009-05-15" "Fri" "Fri" "Fri_Sat"
-"2009-05-16" "Sat" "Sat" "Sat_Sun"
-"2009-05-17" "Sun" "Sun" "Sun_Mon"
-"2009-05-18" "Mon" "Mon" "Mon_Tue"
-"2009-05-19" "Tue" "Tue" "Tue_Wed"
-"2009-05-20" "Wed" "Wed" "Wed_Hol"
-"2009-05-21" "Thu" "Hol" "Hol_Fri"
-"2009-05-22" "Fri" "Fri" "Fri_Sat"
-"2009-05-23" "Sat" "Sat" "Sat_Sun"
-"2009-05-24" "Sun" "Sun" "Sun_Mon"
-"2009-05-25" "Mon" "Mon" "Mon_Tue"
-"2009-05-26" "Tue" "Tue" "Tue_Wed"
-"2009-05-27" "Wed" "Wed" "Wed_Thu"
-"2009-05-28" "Thu" "Thu" "Thu_Fri"
-"2009-05-29" "Fri" "Fri" "Fri_Sat"
-"2009-05-30" "Sat" "Sat" "Sat_Sun"
-"2009-05-31" "Sun" "Sun" "Sun_Hol"
-"2009-06-01" "Mon" "Hol" "Hol_Tue"
-"2009-06-02" "Tue" "Tue" "Tue_Wed"
-"2009-06-03" "Wed" "Wed" "Wed_Thu"
-"2009-06-04" "Thu" "Thu" "Thu_Fri"
-"2009-06-05" "Fri" "Fri" "Fri_Sat"
-"2009-06-06" "Sat" "Sat" "Sat_Sun"
-"2009-06-07" "Sun" "Sun" "Sun_Mon"
-"2009-06-08" "Mon" "Mon" "Mon_Tue"
-"2009-06-09" "Tue" "Tue" "Tue_Wed"
-"2009-06-10" "Wed" "Wed" "Wed_Thu"
-"2009-06-11" "Thu" "Thu" "Thu_Fri"
-"2009-06-12" "Fri" "Fri" "Fri_Sat"
-"2009-06-13" "Sat" "Sat" "Sat_Sun"
-"2009-06-14" "Sun" "Sun" "Sun_Mon"
-"2009-06-15" "Mon" "Mon" "Mon_Tue"
-"2009-06-16" "Tue" "Tue" "Tue_Wed"
-"2009-06-17" "Wed" "Wed" "Wed_Thu"
-"2009-06-18" "Thu" "Thu" "Thu_Fri"
-"2009-06-19" "Fri" "Fri" "Fri_Sat"
-"2009-06-20" "Sat" "Sat" "Sat_Sun"
-"2009-06-21" "Sun" "Sun" "Sun_Mon"
-"2009-06-22" "Mon" "Mon" "Mon_Tue"
-"2009-06-23" "Tue" "Tue" "Tue_Wed"
-"2009-06-24" "Wed" "Wed" "Wed_Thu"
-"2009-06-25" "Thu" "Thu" "Thu_Fri"
-"2009-06-26" "Fri" "Fri" "Fri_Sat"
-"2009-06-27" "Sat" "Sat" "Sat_Sun"
-"2009-06-28" "Sun" "Sun" "Sun_Mon"
-"2009-06-29" "Mon" "Mon" "Mon_Tue"
-"2009-06-30" "Tue" "Tue" "Tue_Wed"
-"2009-07-01" "Wed" "Wed" "Wed_Thu"
-"2009-07-02" "Thu" "Thu" "Thu_Fri"
-"2009-07-03" "Fri" "Fri" "Fri_Sat"
-"2009-07-04" "Sat" "Sat" "Sat_Sun"
-"2009-07-05" "Sun" "Sun" "Sun_Mon"
-"2009-07-06" "Mon" "Mon" "Mon_Tue"
-"2009-07-07" "Tue" "Tue" "Tue_Wed"
-"2009-07-08" "Wed" "Wed" "Wed_Thu"
-"2009-07-09" "Thu" "Thu" "Thu_Fri"
-"2009-07-10" "Fri" "Fri" "Fri_Sat"
-"2009-07-11" "Sat" "Sat" "Sat_Sun"
-"2009-07-12" "Sun" "Sun" "Sun_Mon"
-"2009-07-13" "Mon" "Mon" "Mon_Hol"
-"2009-07-14" "Tue" "Hol" "Hol_Wed"
-"2009-07-15" "Wed" "Wed" "Wed_Thu"
-"2009-07-16" "Thu" "Thu" "Thu_Fri"
-"2009-07-17" "Fri" "Fri" "Fri_Sat"
-"2009-07-18" "Sat" "Sat" "Sat_Sun"
-"2009-07-19" "Sun" "Sun" "Sun_Mon"
-"2009-07-20" "Mon" "Mon" "Mon_Tue"
-"2009-07-21" "Tue" "Tue" "Tue_Wed"
-"2009-07-22" "Wed" "Wed" "Wed_Thu"
-"2009-07-23" "Thu" "Thu" "Thu_Fri"
-"2009-07-24" "Fri" "Fri" "Fri_Sat"
-"2009-07-25" "Sat" "Sat" "Sat_Sun"
-"2009-07-26" "Sun" "Sun" "Sun_Mon"
-"2009-07-27" "Mon" "Mon" "Mon_Tue"
-"2009-07-28" "Tue" "Tue" "Tue_Wed"
-"2009-07-29" "Wed" "Wed" "Wed_Thu"
-"2009-07-30" "Thu" "Thu" "Thu_Fri"
-"2009-07-31" "Fri" "Fri" "Fri_Sat"
-"2009-08-01" "Sat" "Sat" "Sat_Sun"
-"2009-08-02" "Sun" "Sun" "Sun_Mon"
-"2009-08-03" "Mon" "Mon" "Mon_Tue"
-"2009-08-04" "Tue" "Tue" "Tue_Wed"
-"2009-08-05" "Wed" "Wed" "Wed_Thu"
-"2009-08-06" "Thu" "Thu" "Thu_Fri"
-"2009-08-07" "Fri" "Fri" "Fri_Sat"
-"2009-08-08" "Sat" "Sat" "Sat_Sun"
-"2009-08-09" "Sun" "Sun" "Sun_Mon"
-"2009-08-10" "Mon" "Mon" "Mon_Tue"
-"2009-08-11" "Tue" "Tue" "Tue_Wed"
-"2009-08-12" "Wed" "Wed" "Wed_Thu"
-"2009-08-13" "Thu" "Thu" "Thu_Fri"
-"2009-08-14" "Fri" "Fri" "Fri_Hol"
-"2009-08-15" "Sat" "Hol" "Hol_Sun"
-"2009-08-16" "Sun" "Sun" "Sun_Mon"
-"2009-08-17" "Mon" "Mon" "Mon_Tue"
-"2009-08-18" "Tue" "Tue" "Tue_Wed"
-"2009-08-19" "Wed" "Wed" "Wed_Thu"
-"2009-08-20" "Thu" "Thu" "Thu_Fri"
-"2009-08-21" "Fri" "Fri" "Fri_Sat"
-"2009-08-22" "Sat" "Sat" "Sat_Sun"
-"2009-08-23" "Sun" "Sun" "Sun_Mon"
-"2009-08-24" "Mon" "Mon" "Mon_Tue"
-"2009-08-25" "Tue" "Tue" "Tue_Wed"
-"2009-08-26" "Wed" "Wed" "Wed_Thu"
-"2009-08-27" "Thu" "Thu" "Thu_Fri"
-"2009-08-28" "Fri" "Fri" "Fri_Sat"
-"2009-08-29" "Sat" "Sat" "Sat_Sun"
-"2009-08-30" "Sun" "Sun" "Sun_Mon"
-"2009-08-31" "Mon" "Mon" "Mon_Tue"
-"2009-09-01" "Tue" "Tue" "Tue_Wed"
-"2009-09-02" "Wed" "Wed" "Wed_Thu"
-"2009-09-03" "Thu" "Thu" "Thu_Fri"
-"2009-09-04" "Fri" "Fri" "Fri_Sat"
-"2009-09-05" "Sat" "Sat" "Sat_Sun"
-"2009-09-06" "Sun" "Sun" "Sun_Mon"
-"2009-09-07" "Mon" "Mon" "Mon_Tue"
-"2009-09-08" "Tue" "Tue" "Tue_Wed"
-"2009-09-09" "Wed" "Wed" "Wed_Thu"
-"2009-09-10" "Thu" "Thu" "Thu_Fri"
-"2009-09-11" "Fri" "Fri" "Fri_Sat"
-"2009-09-12" "Sat" "Sat" "Sat_Sun"
-"2009-09-13" "Sun" "Sun" "Sun_Mon"
-"2009-09-14" "Mon" "Mon" "Mon_Tue"
-"2009-09-15" "Tue" "Tue" "Tue_Wed"
-"2009-09-16" "Wed" "Wed" "Wed_Thu"
-"2009-09-17" "Thu" "Thu" "Thu_Fri"
-"2009-09-18" "Fri" "Fri" "Fri_Sat"
-"2009-09-19" "Sat" "Sat" "Sat_Sun"
-"2009-09-20" "Sun" "Sun" "Sun_Mon"
-"2009-09-21" "Mon" "Mon" "Mon_Tue"
-"2009-09-22" "Tue" "Tue" "Tue_Wed"
-"2009-09-23" "Wed" "Wed" "Wed_Thu"
-"2009-09-24" "Thu" "Thu" "Thu_Fri"
-"2009-09-25" "Fri" "Fri" "Fri_Sat"
-"2009-09-26" "Sat" "Sat" "Sat_Sun"
-"2009-09-27" "Sun" "Sun" "Sun_Mon"
-"2009-09-28" "Mon" "Mon" "Mon_Tue"
-"2009-09-29" "Tue" "Tue" "Tue_Wed"
-"2009-09-30" "Wed" "Wed" "Wed_Thu"
-"2009-10-01" "Thu" "Thu" "Thu_Fri"
-"2009-10-02" "Fri" "Fri" "Fri_Sat"
-"2009-10-03" "Sat" "Sat" "Sat_Sun"
-"2009-10-04" "Sun" "Sun" "Sun_Mon"
-"2009-10-05" "Mon" "Mon" "Mon_Tue"
-"2009-10-06" "Tue" "Tue" "Tue_Wed"
-"2009-10-07" "Wed" "Wed" "Wed_Thu"
-"2009-10-08" "Thu" "Thu" "Thu_Fri"
-"2009-10-09" "Fri" "Fri" "Fri_Sat"
-"2009-10-10" "Sat" "Sat" "Sat_Sun"
-"2009-10-11" "Sun" "Sun" "Sun_Mon"
-"2009-10-12" "Mon" "Mon" "Mon_Tue"
-"2009-10-13" "Tue" "Tue" "Tue_Wed"
-"2009-10-14" "Wed" "Wed" "Wed_Thu"
-"2009-10-15" "Thu" "Thu" "Thu_Fri"
-"2009-10-16" "Fri" "Fri" "Fri_Sat"
-"2009-10-17" "Sat" "Sat" "Sat_Sun"
-"2009-10-18" "Sun" "Sun" "Sun_Mon"
-"2009-10-19" "Mon" "Mon" "Mon_Tue"
-"2009-10-20" "Tue" "Tue" "Tue_Wed"
-"2009-10-21" "Wed" "Wed" "Wed_Thu"
-"2009-10-22" "Thu" "Thu" "Thu_Fri"
-"2009-10-23" "Fri" "Fri" "Fri_Sat"
-"2009-10-24" "Sat" "Sat" "Sat_Sun"
-"2009-10-25" "Sun" "Sun" "Sun_Mon"
-"2009-10-26" "Mon" "Mon" "Mon_Tue"
-"2009-10-27" "Tue" "Tue" "Tue_Wed"
-"2009-10-28" "Wed" "Wed" "Wed_Thu"
-"2009-10-29" "Thu" "Thu" "Thu_Fri"
-"2009-10-30" "Fri" "Fri" "Fri_Sat"
-"2009-10-31" "Sat" "Sat" "Sat_Hol"
-"2009-11-01" "Sun" "Hol" "Hol_Mon"
-"2009-11-02" "Mon" "Mon" "Mon_Tue"
-"2009-11-03" "Tue" "Tue" "Tue_Wed"
-"2009-11-04" "Wed" "Wed" "Wed_Thu"
-"2009-11-05" "Thu" "Thu" "Thu_Fri"
-"2009-11-06" "Fri" "Fri" "Fri_Sat"
-"2009-11-07" "Sat" "Sat" "Sat_Sun"
-"2009-11-08" "Sun" "Sun" "Sun_Mon"
-"2009-11-09" "Mon" "Mon" "Mon_Tue"
-"2009-11-10" "Tue" "Tue" "Tue_Hol"
-"2009-11-11" "Wed" "Hol" "Hol_Thu"
-"2009-11-12" "Thu" "Thu" "Thu_Fri"
-"2009-11-13" "Fri" "Fri" "Fri_Sat"
-"2009-11-14" "Sat" "Sat" "Sat_Sun"
-"2009-11-15" "Sun" "Sun" "Sun_Mon"
-"2009-11-16" "Mon" "Mon" "Mon_Tue"
-"2009-11-17" "Tue" "Tue" "Tue_Wed"
-"2009-11-18" "Wed" "Wed" "Wed_Thu"
-"2009-11-19" "Thu" "Thu" "Thu_Fri"
-"2009-11-20" "Fri" "Fri" "Fri_Sat"
-"2009-11-21" "Sat" "Sat" "Sat_Sun"
-"2009-11-22" "Sun" "Sun" "Sun_Mon"
-"2009-11-23" "Mon" "Mon" "Mon_Tue"
-"2009-11-24" "Tue" "Tue" "Tue_Wed"
-"2009-11-25" "Wed" "Wed" "Wed_Thu"
-"2009-11-26" "Thu" "Thu" "Thu_Fri"
-"2009-11-27" "Fri" "Fri" "Fri_Sat"
-"2009-11-28" "Sat" "Sat" "Sat_Sun"
-"2009-11-29" "Sun" "Sun" "Sun_Mon"
-"2009-11-30" "Mon" "Mon" "Mon_Tue"
-"2009-12-01" "Tue" "Tue" "Tue_Wed"
-"2009-12-02" "Wed" "Wed" "Wed_Thu"
-"2009-12-03" "Thu" "Thu" "Thu_Fri"
-"2009-12-04" "Fri" "Fri" "Fri_Sat"
-"2009-12-05" "Sat" "Sat" "Sat_Sun"
-"2009-12-06" "Sun" "Sun" "Sun_Mon"
-"2009-12-07" "Mon" "Mon" "Mon_Tue"
-"2009-12-08" "Tue" "Tue" "Tue_Wed"
-"2009-12-09" "Wed" "Wed" "Wed_Thu"
-"2009-12-10" "Thu" "Thu" "Thu_Fri"
-"2009-12-11" "Fri" "Fri" "Fri_Sat"
-"2009-12-12" "Sat" "Sat" "Sat_Sun"
-"2009-12-13" "Sun" "Sun" "Sun_Mon"
-"2009-12-14" "Mon" "Mon" "Mon_Tue"
-"2009-12-15" "Tue" "Tue" "Tue_Wed"
-"2009-12-16" "Wed" "Wed" "Wed_Thu"
-"2009-12-17" "Thu" "Thu" "Thu_Fri"
-"2009-12-18" "Fri" "Fri" "Fri_Sat"
-"2009-12-19" "Sat" "Sat" "Sat_Sun"
-"2009-12-20" "Sun" "Sun" "Sun_Mon"
-"2009-12-21" "Mon" "Mon" "Mon_Tue"
-"2009-12-22" "Tue" "Tue" "Tue_Wed"
-"2009-12-23" "Wed" "Wed" "Wed_Thu"
-"2009-12-24" "Thu" "Thu" "Thu_Hol"
-"2009-12-25" "Fri" "Hol" "Hol_Sat"
-"2009-12-26" "Sat" "Sat" "Sat_Sun"
-"2009-12-27" "Sun" "Sun" "Sun_Mon"
-"2009-12-28" "Mon" "Mon" "Mon_Tue"
-"2009-12-29" "Tue" "Tue" "Tue_Wed"
-"2009-12-30" "Wed" "Wed" "Wed_Thu"
-"2009-12-31" "Thu" "Thu" "Thu_Hol"
-"2010-01-01" "Fri" "Hol" "Hol_Sat"
-"2010-01-02" "Sat" "Sat" "Sat_Sun"
-"2010-01-03" "Sun" "Sun" "Sun_Mon"
-"2010-01-04" "Mon" "Mon" "Mon_Tue"
-"2010-01-05" "Tue" "Tue" "Tue_Wed"
-"2010-01-06" "Wed" "Wed" "Wed_Thu"
-"2010-01-07" "Thu" "Thu" "Thu_Fri"
-"2010-01-08" "Fri" "Fri" "Fri_Sat"
-"2010-01-09" "Sat" "Sat" "Sat_Sun"
-"2010-01-10" "Sun" "Sun" "Sun_Mon"
-"2010-01-11" "Mon" "Mon" "Mon_Tue"
-"2010-01-12" "Tue" "Tue" "Tue_Wed"
-"2010-01-13" "Wed" "Wed" "Wed_Thu"
-"2010-01-14" "Thu" "Thu" "Thu_Fri"
-"2010-01-15" "Fri" "Fri" "Fri_Sat"
-"2010-01-16" "Sat" "Sat" "Sat_Sun"
-"2010-01-17" "Sun" "Sun" "Sun_Mon"
-"2010-01-18" "Mon" "Mon" "Mon_Tue"
-"2010-01-19" "Tue" "Tue" "Tue_Wed"
-"2010-01-20" "Wed" "Wed" "Wed_Thu"
-"2010-01-21" "Thu" "Thu" "Thu_Fri"
-"2010-01-22" "Fri" "Fri" "Fri_Sat"
-"2010-01-23" "Sat" "Sat" "Sat_Sun"
-"2010-01-24" "Sun" "Sun" "Sun_Mon"
-"2010-01-25" "Mon" "Mon" "Mon_Tue"
-"2010-01-26" "Tue" "Tue" "Tue_Wed"
-"2010-01-27" "Wed" "Wed" "Wed_Thu"
-"2010-01-28" "Thu" "Thu" "Thu_Fri"
-"2010-01-29" "Fri" "Fri" "Fri_Sat"
-"2010-01-30" "Sat" "Sat" "Sat_Sun"
-"2010-01-31" "Sun" "Sun" "Sun_Mon"
-"2010-02-01" "Mon" "Mon" "Mon_Tue"
-"2010-02-02" "Tue" "Tue" "Tue_Wed"
-"2010-02-03" "Wed" "Wed" "Wed_Thu"
-"2010-02-04" "Thu" "Thu" "Thu_Fri"
-"2010-02-05" "Fri" "Fri" "Fri_Sat"
-"2010-02-06" "Sat" "Sat" "Sat_Sun"
-"2010-02-07" "Sun" "Sun" "Sun_Mon"
-"2010-02-08" "Mon" "Mon" "Mon_Tue"
-"2010-02-09" "Tue" "Tue" "Tue_Wed"
-"2010-02-10" "Wed" "Wed" "Wed_Thu"
-"2010-02-11" "Thu" "Thu" "Thu_Fri"
-"2010-02-12" "Fri" "Fri" "Fri_Sat"
-"2010-02-13" "Sat" "Sat" "Sat_Sun"
-"2010-02-14" "Sun" "Sun" "Sun_Mon"
-"2010-02-15" "Mon" "Mon" "Mon_Tue"
-"2010-02-16" "Tue" "Tue" "Tue_Wed"
-"2010-02-17" "Wed" "Wed" "Wed_Thu"
-"2010-02-18" "Thu" "Thu" "Thu_Fri"
-"2010-02-19" "Fri" "Fri" "Fri_Sat"
-"2010-02-20" "Sat" "Sat" "Sat_Sun"
-"2010-02-21" "Sun" "Sun" "Sun_Mon"
-"2010-02-22" "Mon" "Mon" "Mon_Tue"
-"2010-02-23" "Tue" "Tue" "Tue_Wed"
-"2010-02-24" "Wed" "Wed" "Wed_Thu"
-"2010-02-25" "Thu" "Thu" "Thu_Fri"
-"2010-02-26" "Fri" "Fri" "Fri_Sat"
-"2010-02-27" "Sat" "Sat" "Sat_Sun"
-"2010-02-28" "Sun" "Sun" "Sun_Mon"
-"2010-03-01" "Mon" "Mon" "Mon_Tue"
-"2010-03-02" "Tue" "Tue" "Tue_Wed"
-"2010-03-03" "Wed" "Wed" "Wed_Thu"
-"2010-03-04" "Thu" "Thu" "Thu_Fri"
-"2010-03-05" "Fri" "Fri" "Fri_Sat"
-"2010-03-06" "Sat" "Sat" "Sat_Sun"
-"2010-03-07" "Sun" "Sun" "Sun_Mon"
-"2010-03-08" "Mon" "Mon" "Mon_Tue"
-"2010-03-09" "Tue" "Tue" "Tue_Wed"
-"2010-03-10" "Wed" "Wed" "Wed_Thu"
-"2010-03-11" "Thu" "Thu" "Thu_Fri"
-"2010-03-12" "Fri" "Fri" "Fri_Sat"
-"2010-03-13" "Sat" "Sat" "Sat_Sun"
-"2010-03-14" "Sun" "Sun" "Sun_Mon"
-"2010-03-15" "Mon" "Mon" "Mon_Tue"
-"2010-03-16" "Tue" "Tue" "Tue_Wed"
-"2010-03-17" "Wed" "Wed" "Wed_Thu"
-"2010-03-18" "Thu" "Thu" "Thu_Fri"
-"2010-03-19" "Fri" "Fri" "Fri_Sat"
-"2010-03-20" "Sat" "Sat" "Sat_Sun"
-"2010-03-21" "Sun" "Sun" "Sun_Mon"
-"2010-03-22" "Mon" "Mon" "Mon_Tue"
-"2010-03-23" "Tue" "Tue" "Tue_Wed"
-"2010-03-24" "Wed" "Wed" "Wed_Thu"
-"2010-03-25" "Thu" "Thu" "Thu_Fri"
-"2010-03-26" "Fri" "Fri" "Fri_Sat"
-"2010-03-27" "Sat" "Sat" "Sat_Sun"
-"2010-03-28" "Sun" "Sun" "Sun_Mon"
-"2010-03-29" "Mon" "Mon" "Mon_Tue"
-"2010-03-30" "Tue" "Tue" "Tue_Wed"
-"2010-03-31" "Wed" "Wed" "Wed_Thu"
-"2010-04-01" "Thu" "Thu" "Thu_Fri"
-"2010-04-02" "Fri" "Fri" "Fri_Sat"
-"2010-04-03" "Sat" "Sat" "Sat_Sun"
-"2010-04-04" "Sun" "Sun" "Sun_Hol"
-"2010-04-05" "Mon" "Hol" "Hol_Tue"
-"2010-04-06" "Tue" "Tue" "Tue_Wed"
-"2010-04-07" "Wed" "Wed" "Wed_Thu"
-"2010-04-08" "Thu" "Thu" "Thu_Fri"
-"2010-04-09" "Fri" "Fri" "Fri_Sat"
-"2010-04-10" "Sat" "Sat" "Sat_Sun"
-"2010-04-11" "Sun" "Sun" "Sun_Mon"
-"2010-04-12" "Mon" "Mon" "Mon_Tue"
-"2010-04-13" "Tue" "Tue" "Tue_Wed"
-"2010-04-14" "Wed" "Wed" "Wed_Thu"
-"2010-04-15" "Thu" "Thu" "Thu_Fri"
-"2010-04-16" "Fri" "Fri" "Fri_Sat"
-"2010-04-17" "Sat" "Sat" "Sat_Sun"
-"2010-04-18" "Sun" "Sun" "Sun_Mon"
-"2010-04-19" "Mon" "Mon" "Mon_Tue"
-"2010-04-20" "Tue" "Tue" "Tue_Wed"
-"2010-04-21" "Wed" "Wed" "Wed_Thu"
-"2010-04-22" "Thu" "Thu" "Thu_Fri"
-"2010-04-23" "Fri" "Fri" "Fri_Sat"
-"2010-04-24" "Sat" "Sat" "Sat_Sun"
-"2010-04-25" "Sun" "Sun" "Sun_Mon"
-"2010-04-26" "Mon" "Mon" "Mon_Tue"
-"2010-04-27" "Tue" "Tue" "Tue_Wed"
-"2010-04-28" "Wed" "Wed" "Wed_Thu"
-"2010-04-29" "Thu" "Thu" "Thu_Fri"
-"2010-04-30" "Fri" "Fri" "Fri_Hol"
-"2010-05-01" "Sat" "Hol" "Hol_Sun"
-"2010-05-02" "Sun" "Sun" "Sun_Mon"
-"2010-05-03" "Mon" "Mon" "Mon_Tue"
-"2010-05-04" "Tue" "Tue" "Tue_Wed"
-"2010-05-05" "Wed" "Wed" "Wed_Thu"
-"2010-05-06" "Thu" "Thu" "Thu_Fri"
-"2010-05-07" "Fri" "Fri" "Fri_Hol"
-"2010-05-08" "Sat" "Hol" "Hol_Sun"
-"2010-05-09" "Sun" "Sun" "Sun_Mon"
-"2010-05-10" "Mon" "Mon" "Mon_Tue"
-"2010-05-11" "Tue" "Tue" "Tue_Wed"
-"2010-05-12" "Wed" "Wed" "Wed_Hol"
-"2010-05-13" "Thu" "Hol" "Hol_Fri"
-"2010-05-14" "Fri" "Fri" "Fri_Sat"
-"2010-05-15" "Sat" "Sat" "Sat_Sun"
-"2010-05-16" "Sun" "Sun" "Sun_Mon"
-"2010-05-17" "Mon" "Mon" "Mon_Tue"
-"2010-05-18" "Tue" "Tue" "Tue_Wed"
-"2010-05-19" "Wed" "Wed" "Wed_Thu"
-"2010-05-20" "Thu" "Thu" "Thu_Fri"
-"2010-05-21" "Fri" "Fri" "Fri_Sat"
-"2010-05-22" "Sat" "Sat" "Sat_Sun"
-"2010-05-23" "Sun" "Sun" "Sun_Hol"
-"2010-05-24" "Mon" "Hol" "Hol_Tue"
-"2010-05-25" "Tue" "Tue" "Tue_Wed"
-"2010-05-26" "Wed" "Wed" "Wed_Thu"
-"2010-05-27" "Thu" "Thu" "Thu_Fri"
-"2010-05-28" "Fri" "Fri" "Fri_Sat"
-"2010-05-29" "Sat" "Sat" "Sat_Sun"
-"2010-05-30" "Sun" "Sun" "Sun_Mon"
-"2010-05-31" "Mon" "Mon" "Mon_Tue"
-"2010-06-01" "Tue" "Tue" "Tue_Wed"
-"2010-06-02" "Wed" "Wed" "Wed_Thu"
-"2010-06-03" "Thu" "Thu" "Thu_Fri"
-"2010-06-04" "Fri" "Fri" "Fri_Sat"
-"2010-06-05" "Sat" "Sat" "Sat_Sun"
-"2010-06-06" "Sun" "Sun" "Sun_Mon"
-"2010-06-07" "Mon" "Mon" "Mon_Tue"
-"2010-06-08" "Tue" "Tue" "Tue_Wed"
-"2010-06-09" "Wed" "Wed" "Wed_Thu"
-"2010-06-10" "Thu" "Thu" "Thu_Fri"
-"2010-06-11" "Fri" "Fri" "Fri_Sat"
-"2010-06-12" "Sat" "Sat" "Sat_Sun"
-"2010-06-13" "Sun" "Sun" "Sun_Mon"
-"2010-06-14" "Mon" "Mon" "Mon_Tue"
-"2010-06-15" "Tue" "Tue" "Tue_Wed"
-"2010-06-16" "Wed" "Wed" "Wed_Thu"
-"2010-06-17" "Thu" "Thu" "Thu_Fri"
-"2010-06-18" "Fri" "Fri" "Fri_Sat"
-"2010-06-19" "Sat" "Sat" "Sat_Sun"
-"2010-06-20" "Sun" "Sun" "Sun_Mon"
-"2010-06-21" "Mon" "Mon" "Mon_Tue"
-"2010-06-22" "Tue" "Tue" "Tue_Wed"
-"2010-06-23" "Wed" "Wed" "Wed_Thu"
-"2010-06-24" "Thu" "Thu" "Thu_Fri"
-"2010-06-25" "Fri" "Fri" "Fri_Sat"
-"2010-06-26" "Sat" "Sat" "Sat_Sun"
-"2010-06-27" "Sun" "Sun" "Sun_Mon"
-"2010-06-28" "Mon" "Mon" "Mon_Tue"
-"2010-06-29" "Tue" "Tue" "Tue_Wed"
-"2010-06-30" "Wed" "Wed" "Wed_Thu"
-"2010-07-01" "Thu" "Thu" "Thu_Fri"
-"2010-07-02" "Fri" "Fri" "Fri_Sat"
-"2010-07-03" "Sat" "Sat" "Sat_Sun"
-"2010-07-04" "Sun" "Sun" "Sun_Mon"
-"2010-07-05" "Mon" "Mon" "Mon_Tue"
-"2010-07-06" "Tue" "Tue" "Tue_Wed"
-"2010-07-07" "Wed" "Wed" "Wed_Thu"
-"2010-07-08" "Thu" "Thu" "Thu_Fri"
-"2010-07-09" "Fri" "Fri" "Fri_Sat"
-"2010-07-10" "Sat" "Sat" "Sat_Sun"
-"2010-07-11" "Sun" "Sun" "Sun_Mon"
-"2010-07-12" "Mon" "Mon" "Mon_Tue"
-"2010-07-13" "Tue" "Tue" "Tue_Hol"
-"2010-07-14" "Wed" "Hol" "Hol_Thu"
-"2010-07-15" "Thu" "Thu" "Thu_Fri"
-"2010-07-16" "Fri" "Fri" "Fri_Sat"
-"2010-07-17" "Sat" "Sat" "Sat_Sun"
-"2010-07-18" "Sun" "Sun" "Sun_Mon"
-"2010-07-19" "Mon" "Mon" "Mon_Tue"
-"2010-07-20" "Tue" "Tue" "Tue_Wed"
-"2010-07-21" "Wed" "Wed" "Wed_Thu"
-"2010-07-22" "Thu" "Thu" "Thu_Fri"
-"2010-07-23" "Fri" "Fri" "Fri_Sat"
-"2010-07-24" "Sat" "Sat" "Sat_Sun"
-"2010-07-25" "Sun" "Sun" "Sun_Mon"
-"2010-07-26" "Mon" "Mon" "Mon_Tue"
-"2010-07-27" "Tue" "Tue" "Tue_Wed"
-"2010-07-28" "Wed" "Wed" "Wed_Thu"
-"2010-07-29" "Thu" "Thu" "Thu_Fri"
-"2010-07-30" "Fri" "Fri" "Fri_Sat"
-"2010-07-31" "Sat" "Sat" "Sat_Sun"
-"2010-08-01" "Sun" "Sun" "Sun_Mon"
-"2010-08-02" "Mon" "Mon" "Mon_Tue"
-"2010-08-03" "Tue" "Tue" "Tue_Wed"
-"2010-08-04" "Wed" "Wed" "Wed_Thu"
-"2010-08-05" "Thu" "Thu" "Thu_Fri"
-"2010-08-06" "Fri" "Fri" "Fri_Sat"
-"2010-08-07" "Sat" "Sat" "Sat_Sun"
-"2010-08-08" "Sun" "Sun" "Sun_Mon"
-"2010-08-09" "Mon" "Mon" "Mon_Tue"
-"2010-08-10" "Tue" "Tue" "Tue_Wed"
-"2010-08-11" "Wed" "Wed" "Wed_Thu"
-"2010-08-12" "Thu" "Thu" "Thu_Fri"
-"2010-08-13" "Fri" "Fri" "Fri_Sat"
-"2010-08-14" "Sat" "Sat" "Sat_Hol"
-"2010-08-15" "Sun" "Hol" "Hol_Mon"
-"2010-08-16" "Mon" "Mon" "Mon_Tue"
-"2010-08-17" "Tue" "Tue" "Tue_Wed"
-"2010-08-18" "Wed" "Wed" "Wed_Thu"
-"2010-08-19" "Thu" "Thu" "Thu_Fri"
-"2010-08-20" "Fri" "Fri" "Fri_Sat"
-"2010-08-21" "Sat" "Sat" "Sat_Sun"
-"2010-08-22" "Sun" "Sun" "Sun_Mon"
-"2010-08-23" "Mon" "Mon" "Mon_Tue"
-"2010-08-24" "Tue" "Tue" "Tue_Wed"
-"2010-08-25" "Wed" "Wed" "Wed_Thu"
-"2010-08-26" "Thu" "Thu" "Thu_Fri"
-"2010-08-27" "Fri" "Fri" "Fri_Sat"
-"2010-08-28" "Sat" "Sat" "Sat_Sun"
-"2010-08-29" "Sun" "Sun" "Sun_Mon"
-"2010-08-30" "Mon" "Mon" "Mon_Tue"
-"2010-08-31" "Tue" "Tue" "Tue_Wed"
-"2010-09-01" "Wed" "Wed" "Wed_Thu"
-"2010-09-02" "Thu" "Thu" "Thu_Fri"
-"2010-09-03" "Fri" "Fri" "Fri_Sat"
-"2010-09-04" "Sat" "Sat" "Sat_Sun"
-"2010-09-05" "Sun" "Sun" "Sun_Mon"
-"2010-09-06" "Mon" "Mon" "Mon_Tue"
-"2010-09-07" "Tue" "Tue" "Tue_Wed"
-"2010-09-08" "Wed" "Wed" "Wed_Thu"
-"2010-09-09" "Thu" "Thu" "Thu_Fri"
-"2010-09-10" "Fri" "Fri" "Fri_Sat"
-"2010-09-11" "Sat" "Sat" "Sat_Sun"
-"2010-09-12" "Sun" "Sun" "Sun_Mon"
-"2010-09-13" "Mon" "Mon" "Mon_Tue"
-"2010-09-14" "Tue" "Tue" "Tue_Wed"
-"2010-09-15" "Wed" "Wed" "Wed_Thu"
-"2010-09-16" "Thu" "Thu" "Thu_Fri"
-"2010-09-17" "Fri" "Fri" "Fri_Sat"
-"2010-09-18" "Sat" "Sat" "Sat_Sun"
-"2010-09-19" "Sun" "Sun" "Sun_Mon"
-"2010-09-20" "Mon" "Mon" "Mon_Tue"
-"2010-09-21" "Tue" "Tue" "Tue_Wed"
-"2010-09-22" "Wed" "Wed" "Wed_Thu"
-"2010-09-23" "Thu" "Thu" "Thu_Fri"
-"2010-09-24" "Fri" "Fri" "Fri_Sat"
-"2010-09-25" "Sat" "Sat" "Sat_Sun"
-"2010-09-26" "Sun" "Sun" "Sun_Mon"
-"2010-09-27" "Mon" "Mon" "Mon_Tue"
-"2010-09-28" "Tue" "Tue" "Tue_Wed"
-"2010-09-29" "Wed" "Wed" "Wed_Thu"
-"2010-09-30" "Thu" "Thu" "Thu_Fri"
-"2010-10-01" "Fri" "Fri" "Fri_Sat"
-"2010-10-02" "Sat" "Sat" "Sat_Sun"
-"2010-10-03" "Sun" "Sun" "Sun_Mon"
-"2010-10-04" "Mon" "Mon" "Mon_Tue"
-"2010-10-05" "Tue" "Tue" "Tue_Wed"
-"2010-10-06" "Wed" "Wed" "Wed_Thu"
-"2010-10-07" "Thu" "Thu" "Thu_Fri"
-"2010-10-08" "Fri" "Fri" "Fri_Sat"
-"2010-10-09" "Sat" "Sat" "Sat_Sun"
-"2010-10-10" "Sun" "Sun" "Sun_Mon"
-"2010-10-11" "Mon" "Mon" "Mon_Tue"
-"2010-10-12" "Tue" "Tue" "Tue_Wed"
-"2010-10-13" "Wed" "Wed" "Wed_Thu"
-"2010-10-14" "Thu" "Thu" "Thu_Fri"
-"2010-10-15" "Fri" "Fri" "Fri_Sat"
-"2010-10-16" "Sat" "Sat" "Sat_Sun"
-"2010-10-17" "Sun" "Sun" "Sun_Mon"
-"2010-10-18" "Mon" "Mon" "Mon_Tue"
-"2010-10-19" "Tue" "Tue" "Tue_Wed"
-"2010-10-20" "Wed" "Wed" "Wed_Thu"
-"2010-10-21" "Thu" "Thu" "Thu_Fri"
-"2010-10-22" "Fri" "Fri" "Fri_Sat"
-"2010-10-23" "Sat" "Sat" "Sat_Sun"
-"2010-10-24" "Sun" "Sun" "Sun_Mon"
-"2010-10-25" "Mon" "Mon" "Mon_Tue"
-"2010-10-26" "Tue" "Tue" "Tue_Wed"
-"2010-10-27" "Wed" "Wed" "Wed_Thu"
-"2010-10-28" "Thu" "Thu" "Thu_Fri"
-"2010-10-29" "Fri" "Fri" "Fri_Sat"
-"2010-10-30" "Sat" "Sat" "Sat_Sun"
-"2010-10-31" "Sun" "Sun" "Sun_Hol"
-"2010-11-01" "Mon" "Hol" "Hol_Tue"
-"2010-11-02" "Tue" "Tue" "Tue_Wed"
-"2010-11-03" "Wed" "Wed" "Wed_Thu"
-"2010-11-04" "Thu" "Thu" "Thu_Fri"
-"2010-11-05" "Fri" "Fri" "Fri_Sat"
-"2010-11-06" "Sat" "Sat" "Sat_Sun"
-"2010-11-07" "Sun" "Sun" "Sun_Mon"
-"2010-11-08" "Mon" "Mon" "Mon_Tue"
-"2010-11-09" "Tue" "Tue" "Tue_Wed"
-"2010-11-10" "Wed" "Wed" "Wed_Hol"
-"2010-11-11" "Thu" "Hol" "Hol_Fri"
-"2010-11-12" "Fri" "Fri" "Fri_Sat"
-"2010-11-13" "Sat" "Sat" "Sat_Sun"
-"2010-11-14" "Sun" "Sun" "Sun_Mon"
-"2010-11-15" "Mon" "Mon" "Mon_Tue"
-"2010-11-16" "Tue" "Tue" "Tue_Wed"
-"2010-11-17" "Wed" "Wed" "Wed_Thu"
-"2010-11-18" "Thu" "Thu" "Thu_Fri"
-"2010-11-19" "Fri" "Fri" "Fri_Sat"
-"2010-11-20" "Sat" "Sat" "Sat_Sun"
-"2010-11-21" "Sun" "Sun" "Sun_Mon"
-"2010-11-22" "Mon" "Mon" "Mon_Tue"
-"2010-11-23" "Tue" "Tue" "Tue_Wed"
-"2010-11-24" "Wed" "Wed" "Wed_Thu"
-"2010-11-25" "Thu" "Thu" "Thu_Fri"
-"2010-11-26" "Fri" "Fri" "Fri_Sat"
-"2010-11-27" "Sat" "Sat" "Sat_Sun"
-"2010-11-28" "Sun" "Sun" "Sun_Mon"
-"2010-11-29" "Mon" "Mon" "Mon_Tue"
-"2010-11-30" "Tue" "Tue" "Tue_Wed"
-"2010-12-01" "Wed" "Wed" "Wed_Thu"
-"2010-12-02" "Thu" "Thu" "Thu_Fri"
-"2010-12-03" "Fri" "Fri" "Fri_Sat"
-"2010-12-04" "Sat" "Sat" "Sat_Sun"
-"2010-12-05" "Sun" "Sun" "Sun_Mon"
-"2010-12-06" "Mon" "Mon" "Mon_Tue"
-"2010-12-07" "Tue" "Tue" "Tue_Wed"
-"2010-12-08" "Wed" "Wed" "Wed_Thu"
-"2010-12-09" "Thu" "Thu" "Thu_Fri"
-"2010-12-10" "Fri" "Fri" "Fri_Sat"
-"2010-12-11" "Sat" "Sat" "Sat_Sun"
-"2010-12-12" "Sun" "Sun" "Sun_Mon"
-"2010-12-13" "Mon" "Mon" "Mon_Tue"
-"2010-12-14" "Tue" "Tue" "Tue_Wed"
-"2010-12-15" "Wed" "Wed" "Wed_Thu"
-"2010-12-16" "Thu" "Thu" "Thu_Fri"
-"2010-12-17" "Fri" "Fri" "Fri_Sat"
-"2010-12-18" "Sat" "Sat" "Sat_Sun"
-"2010-12-19" "Sun" "Sun" "Sun_Mon"
-"2010-12-20" "Mon" "Mon" "Mon_Tue"
-"2010-12-21" "Tue" "Tue" "Tue_Wed"
-"2010-12-22" "Wed" "Wed" "Wed_Thu"
-"2010-12-23" "Thu" "Thu" "Thu_Fri"
-"2010-12-24" "Fri" "Fri" "Fri_Hol"
-"2010-12-25" "Sat" "Hol" "Hol_Sun"
-"2010-12-26" "Sun" "Sun" "Sun_Mon"
-"2010-12-27" "Mon" "Mon" "Mon_Tue"
-"2010-12-28" "Tue" "Tue" "Tue_Wed"
-"2010-12-29" "Wed" "Wed" "Wed_Thu"
-"2010-12-30" "Thu" "Thu" "Thu_Fri"
-"2010-12-31" "Fri" "Fri" "Fri_Hol"
-"2011-01-01" "Sat" "Hol" "Hol_Sun"
-"2011-01-02" "Sun" "Sun" "Sun_Mon"
-"2011-01-03" "Mon" "Mon" "Mon_Tue"
-"2011-01-04" "Tue" "Tue" "Tue_Wed"
-"2011-01-05" "Wed" "Wed" "Wed_Thu"
-"2011-01-06" "Thu" "Thu" "Thu_Fri"
-"2011-01-07" "Fri" "Fri" "Fri_Sat"
-"2011-01-08" "Sat" "Sat" "Sat_Sun"
-"2011-01-09" "Sun" "Sun" "Sun_Mon"
-"2011-01-10" "Mon" "Mon" "Mon_Tue"
-"2011-01-11" "Tue" "Tue" "Tue_Wed"
-"2011-01-12" "Wed" "Wed" "Wed_Thu"
-"2011-01-13" "Thu" "Thu" "Thu_Fri"
-"2011-01-14" "Fri" "Fri" "Fri_Sat"
-"2011-01-15" "Sat" "Sat" "Sat_Sun"
-"2011-01-16" "Sun" "Sun" "Sun_Mon"
-"2011-01-17" "Mon" "Mon" "Mon_Tue"
-"2011-01-18" "Tue" "Tue" "Tue_Wed"
-"2011-01-19" "Wed" "Wed" "Wed_Thu"
-"2011-01-20" "Thu" "Thu" "Thu_Fri"
-"2011-01-21" "Fri" "Fri" "Fri_Sat"
-"2011-01-22" "Sat" "Sat" "Sat_Sun"
-"2011-01-23" "Sun" "Sun" "Sun_Mon"
-"2011-01-24" "Mon" "Mon" "Mon_Tue"
-"2011-01-25" "Tue" "Tue" "Tue_Wed"
-"2011-01-26" "Wed" "Wed" "Wed_Thu"
-"2011-01-27" "Thu" "Thu" "Thu_Fri"
-"2011-01-28" "Fri" "Fri" "Fri_Sat"
-"2011-01-29" "Sat" "Sat" "Sat_Sun"
-"2011-01-30" "Sun" "Sun" "Sun_Mon"
-"2011-01-31" "Mon" "Mon" "Mon_Tue"
-"2011-02-01" "Tue" "Tue" "Tue_Wed"
-"2011-02-02" "Wed" "Wed" "Wed_Thu"
-"2011-02-03" "Thu" "Thu" "Thu_Fri"
-"2011-02-04" "Fri" "Fri" "Fri_Sat"
-"2011-02-05" "Sat" "Sat" "Sat_Sun"
-"2011-02-06" "Sun" "Sun" "Sun_Mon"
-"2011-02-07" "Mon" "Mon" "Mon_Tue"
-"2011-02-08" "Tue" "Tue" "Tue_Wed"
-"2011-02-09" "Wed" "Wed" "Wed_Thu"
-"2011-02-10" "Thu" "Thu" "Thu_Fri"
-"2011-02-11" "Fri" "Fri" "Fri_Sat"
-"2011-02-12" "Sat" "Sat" "Sat_Sun"
-"2011-02-13" "Sun" "Sun" "Sun_Mon"
-"2011-02-14" "Mon" "Mon" "Mon_Tue"
-"2011-02-15" "Tue" "Tue" "Tue_Wed"
-"2011-02-16" "Wed" "Wed" "Wed_Thu"
-"2011-02-17" "Thu" "Thu" "Thu_Fri"
-"2011-02-18" "Fri" "Fri" "Fri_Sat"
-"2011-02-19" "Sat" "Sat" "Sat_Sun"
-"2011-02-20" "Sun" "Sun" "Sun_Mon"
-"2011-02-21" "Mon" "Mon" "Mon_Tue"
-"2011-02-22" "Tue" "Tue" "Tue_Wed"
-"2011-02-23" "Wed" "Wed" "Wed_Thu"
-"2011-02-24" "Thu" "Thu" "Thu_Fri"
-"2011-02-25" "Fri" "Fri" "Fri_Sat"
-"2011-02-26" "Sat" "Sat" "Sat_Sun"
-"2011-02-27" "Sun" "Sun" "Sun_Mon"
-"2011-02-28" "Mon" "Mon" "Mon_Tue"
-"2011-03-01" "Tue" "Tue" "Tue_Wed"
-"2011-03-02" "Wed" "Wed" "Wed_Thu"
-"2011-03-03" "Thu" "Thu" "Thu_Fri"
-"2011-03-04" "Fri" "Fri" "Fri_Sat"
-"2011-03-05" "Sat" "Sat" "Sat_Sun"
-"2011-03-06" "Sun" "Sun" "Sun_Mon"
-"2011-03-07" "Mon" "Mon" "Mon_Tue"
-"2011-03-08" "Tue" "Tue" "Tue_Wed"
-"2011-03-09" "Wed" "Wed" "Wed_Thu"
-"2011-03-10" "Thu" "Thu" "Thu_Fri"
-"2011-03-11" "Fri" "Fri" "Fri_Sat"
-"2011-03-12" "Sat" "Sat" "Sat_Sun"
-"2011-03-13" "Sun" "Sun" "Sun_Mon"
-"2011-03-14" "Mon" "Mon" "Mon_Tue"
-"2011-03-15" "Tue" "Tue" "Tue_Wed"
-"2011-03-16" "Wed" "Wed" "Wed_Thu"
-"2011-03-17" "Thu" "Thu" "Thu_Fri"
-"2011-03-18" "Fri" "Fri" "Fri_Sat"
-"2011-03-19" "Sat" "Sat" "Sat_Sun"
-"2011-03-20" "Sun" "Sun" "Sun_Mon"
-"2011-03-21" "Mon" "Mon" "Mon_Tue"
-"2011-03-22" "Tue" "Tue" "Tue_Wed"
-"2011-03-23" "Wed" "Wed" "Wed_Thu"
-"2011-03-24" "Thu" "Thu" "Thu_Fri"
-"2011-03-25" "Fri" "Fri" "Fri_Sat"
-"2011-03-26" "Sat" "Sat" "Sat_Sun"
-"2011-03-27" "Sun" "Sun" "Sun_Mon"
-"2011-03-28" "Mon" "Mon" "Mon_Tue"
-"2011-03-29" "Tue" "Tue" "Tue_Wed"
-"2011-03-30" "Wed" "Wed" "Wed_Thu"
-"2011-03-31" "Thu" "Thu" "Thu_Fri"
-"2011-04-01" "Fri" "Fri" "Fri_Sat"
-"2011-04-02" "Sat" "Sat" "Sat_Sun"
-"2011-04-03" "Sun" "Sun" "Sun_Mon"
-"2011-04-04" "Mon" "Mon" "Mon_Tue"
-"2011-04-05" "Tue" "Tue" "Tue_Wed"
-"2011-04-06" "Wed" "Wed" "Wed_Thu"
-"2011-04-07" "Thu" "Thu" "Thu_Fri"
-"2011-04-08" "Fri" "Fri" "Fri_Sat"
-"2011-04-09" "Sat" "Sat" "Sat_Sun"
-"2011-04-10" "Sun" "Sun" "Sun_Mon"
-"2011-04-11" "Mon" "Mon" "Mon_Tue"
-"2011-04-12" "Tue" "Tue" "Tue_Wed"
-"2011-04-13" "Wed" "Wed" "Wed_Thu"
-"2011-04-14" "Thu" "Thu" "Thu_Fri"
-"2011-04-15" "Fri" "Fri" "Fri_Sat"
-"2011-04-16" "Sat" "Sat" "Sat_Sun"
-"2011-04-17" "Sun" "Sun" "Sun_Mon"
-"2011-04-18" "Mon" "Mon" "Mon_Tue"
-"2011-04-19" "Tue" "Tue" "Tue_Wed"
-"2011-04-20" "Wed" "Wed" "Wed_Thu"
-"2011-04-21" "Thu" "Thu" "Thu_Fri"
-"2011-04-22" "Fri" "Fri" "Fri_Sat"
-"2011-04-23" "Sat" "Sat" "Sat_Sun"
-"2011-04-24" "Sun" "Sun" "Sun_Hol"
-"2011-04-25" "Mon" "Hol" "Hol_Tue"
-"2011-04-26" "Tue" "Tue" "Tue_Wed"
-"2011-04-27" "Wed" "Wed" "Wed_Thu"
-"2011-04-28" "Thu" "Thu" "Thu_Fri"
-"2011-04-29" "Fri" "Fri" "Fri_Sat"
-"2011-04-30" "Sat" "Sat" "Sat_Hol"
-"2011-05-01" "Sun" "Hol" "Hol_Mon"
-"2011-05-02" "Mon" "Mon" "Mon_Tue"
-"2011-05-03" "Tue" "Tue" "Tue_Wed"
-"2011-05-04" "Wed" "Wed" "Wed_Thu"
-"2011-05-05" "Thu" "Thu" "Thu_Fri"
-"2011-05-06" "Fri" "Fri" "Fri_Sat"
-"2011-05-07" "Sat" "Sat" "Sat_Hol"
-"2011-05-08" "Sun" "Hol" "Hol_Mon"
-"2011-05-09" "Mon" "Mon" "Mon_Tue"
-"2011-05-10" "Tue" "Tue" "Tue_Wed"
-"2011-05-11" "Wed" "Wed" "Wed_Thu"
-"2011-05-12" "Thu" "Thu" "Thu_Fri"
-"2011-05-13" "Fri" "Fri" "Fri_Sat"
-"2011-05-14" "Sat" "Sat" "Sat_Sun"
-"2011-05-15" "Sun" "Sun" "Sun_Mon"
-"2011-05-16" "Mon" "Mon" "Mon_Tue"
-"2011-05-17" "Tue" "Tue" "Tue_Wed"
-"2011-05-18" "Wed" "Wed" "Wed_Thu"
-"2011-05-19" "Thu" "Thu" "Thu_Fri"
-"2011-05-20" "Fri" "Fri" "Fri_Sat"
-"2011-05-21" "Sat" "Sat" "Sat_Sun"
-"2011-05-22" "Sun" "Sun" "Sun_Mon"
-"2011-05-23" "Mon" "Mon" "Mon_Tue"
-"2011-05-24" "Tue" "Tue" "Tue_Wed"
-"2011-05-25" "Wed" "Wed" "Wed_Thu"
-"2011-05-26" "Thu" "Thu" "Thu_Fri"
-"2011-05-27" "Fri" "Fri" "Fri_Sat"
-"2011-05-28" "Sat" "Sat" "Sat_Sun"
-"2011-05-29" "Sun" "Sun" "Sun_Mon"
-"2011-05-30" "Mon" "Mon" "Mon_Tue"
-"2011-05-31" "Tue" "Tue" "Tue_Wed"
-"2011-06-01" "Wed" "Wed" "Wed_Hol"
-"2011-06-02" "Thu" "Hol" "Hol_Fri"
-"2011-06-03" "Fri" "Fri" "Fri_Sat"
-"2011-06-04" "Sat" "Sat" "Sat_Sun"
-"2011-06-05" "Sun" "Sun" "Sun_Mon"
-"2011-06-06" "Mon" "Mon" "Mon_Tue"
-"2011-06-07" "Tue" "Tue" "Tue_Wed"
-"2011-06-08" "Wed" "Wed" "Wed_Thu"
-"2011-06-09" "Thu" "Thu" "Thu_Fri"
-"2011-06-10" "Fri" "Fri" "Fri_Sat"
-"2011-06-11" "Sat" "Sat" "Sat_Sun"
-"2011-06-12" "Sun" "Sun" "Sun_Hol"
-"2011-06-13" "Mon" "Hol" "Hol_Tue"
-"2011-06-14" "Tue" "Tue" "Tue_Wed"
-"2011-06-15" "Wed" "Wed" "Wed_Thu"
-"2011-06-16" "Thu" "Thu" "Thu_Fri"
-"2011-06-17" "Fri" "Fri" "Fri_Sat"
-"2011-06-18" "Sat" "Sat" "Sat_Sun"
-"2011-06-19" "Sun" "Sun" "Sun_Mon"
-"2011-06-20" "Mon" "Mon" "Mon_Tue"
-"2011-06-21" "Tue" "Tue" "Tue_Wed"
-"2011-06-22" "Wed" "Wed" "Wed_Thu"
-"2011-06-23" "Thu" "Thu" "Thu_Fri"
-"2011-06-24" "Fri" "Fri" "Fri_Sat"
-"2011-06-25" "Sat" "Sat" "Sat_Sun"
-"2011-06-26" "Sun" "Sun" "Sun_Mon"
-"2011-06-27" "Mon" "Mon" "Mon_Tue"
-"2011-06-28" "Tue" "Tue" "Tue_Wed"
-"2011-06-29" "Wed" "Wed" "Wed_Thu"
-"2011-06-30" "Thu" "Thu" "Thu_Fri"
-"2011-07-01" "Fri" "Fri" "Fri_Sat"
-"2011-07-02" "Sat" "Sat" "Sat_Sun"
-"2011-07-03" "Sun" "Sun" "Sun_Mon"
-"2011-07-04" "Mon" "Mon" "Mon_Tue"
-"2011-07-05" "Tue" "Tue" "Tue_Wed"
-"2011-07-06" "Wed" "Wed" "Wed_Thu"
-"2011-07-07" "Thu" "Thu" "Thu_Fri"
-"2011-07-08" "Fri" "Fri" "Fri_Sat"
-"2011-07-09" "Sat" "Sat" "Sat_Sun"
-"2011-07-10" "Sun" "Sun" "Sun_Mon"
-"2011-07-11" "Mon" "Mon" "Mon_Tue"
-"2011-07-12" "Tue" "Tue" "Tue_Wed"
-"2011-07-13" "Wed" "Wed" "Wed_Hol"
-"2011-07-14" "Thu" "Hol" "Hol_Fri"
-"2011-07-15" "Fri" "Fri" "Fri_Sat"
-"2011-07-16" "Sat" "Sat" "Sat_Sun"
-"2011-07-17" "Sun" "Sun" "Sun_Mon"
-"2011-07-18" "Mon" "Mon" "Mon_Tue"
-"2011-07-19" "Tue" "Tue" "Tue_Wed"
-"2011-07-20" "Wed" "Wed" "Wed_Thu"
-"2011-07-21" "Thu" "Thu" "Thu_Fri"
-"2011-07-22" "Fri" "Fri" "Fri_Sat"
-"2011-07-23" "Sat" "Sat" "Sat_Sun"
-"2011-07-24" "Sun" "Sun" "Sun_Mon"
-"2011-07-25" "Mon" "Mon" "Mon_Tue"
-"2011-07-26" "Tue" "Tue" "Tue_Wed"
-"2011-07-27" "Wed" "Wed" "Wed_Thu"
-"2011-07-28" "Thu" "Thu" "Thu_Fri"
-"2011-07-29" "Fri" "Fri" "Fri_Sat"
-"2011-07-30" "Sat" "Sat" "Sat_Sun"
-"2011-07-31" "Sun" "Sun" "Sun_Mon"
-"2011-08-01" "Mon" "Mon" "Mon_Tue"
-"2011-08-02" "Tue" "Tue" "Tue_Wed"
-"2011-08-03" "Wed" "Wed" "Wed_Thu"
-"2011-08-04" "Thu" "Thu" "Thu_Fri"
-"2011-08-05" "Fri" "Fri" "Fri_Sat"
-"2011-08-06" "Sat" "Sat" "Sat_Sun"
-"2011-08-07" "Sun" "Sun" "Sun_Mon"
-"2011-08-08" "Mon" "Mon" "Mon_Tue"
-"2011-08-09" "Tue" "Tue" "Tue_Wed"
-"2011-08-10" "Wed" "Wed" "Wed_Thu"
-"2011-08-11" "Thu" "Thu" "Thu_Fri"
-"2011-08-12" "Fri" "Fri" "Fri_Sat"
-"2011-08-13" "Sat" "Sat" "Sat_Sun"
-"2011-08-14" "Sun" "Sun" "Sun_Hol"
-"2011-08-15" "Mon" "Hol" "Hol_Tue"
-"2011-08-16" "Tue" "Tue" "Tue_Wed"
-"2011-08-17" "Wed" "Wed" "Wed_Thu"
-"2011-08-18" "Thu" "Thu" "Thu_Fri"
-"2011-08-19" "Fri" "Fri" "Fri_Sat"
-"2011-08-20" "Sat" "Sat" "Sat_Sun"
-"2011-08-21" "Sun" "Sun" "Sun_Mon"
-"2011-08-22" "Mon" "Mon" "Mon_Tue"
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-"2011-12-04" "Sun" "Sun" "Sun_Mon"
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-"2011-12-09" "Fri" "Fri" "Fri_Sat"
-"2011-12-10" "Sat" "Sat" "Sat_Sun"
-"2011-12-11" "Sun" "Sun" "Sun_Mon"
-"2011-12-12" "Mon" "Mon" "Mon_Tue"
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-"2011-12-14" "Wed" "Wed" "Wed_Thu"
-"2011-12-15" "Thu" "Thu" "Thu_Fri"
-"2011-12-16" "Fri" "Fri" "Fri_Sat"
-"2011-12-17" "Sat" "Sat" "Sat_Sun"
-"2011-12-18" "Sun" "Sun" "Sun_Mon"
-"2011-12-19" "Mon" "Mon" "Mon_Tue"
-"2011-12-20" "Tue" "Tue" "Tue_Wed"
-"2011-12-21" "Wed" "Wed" "Wed_Thu"
-"2011-12-22" "Thu" "Thu" "Thu_Fri"
-"2011-12-23" "Fri" "Fri" "Fri_Sat"
-"2011-12-24" "Sat" "Sat" "Sat_Hol"
-"2011-12-25" "Sun" "Hol" "Hol_Mon"
-"2011-12-26" "Mon" "Mon" "Mon_Tue"
-"2011-12-27" "Tue" "Tue" "Tue_Wed"
-"2011-12-28" "Wed" "Wed" "Wed_Thu"
-"2011-12-29" "Thu" "Thu" "Thu_Fri"
-"2011-12-30" "Fri" "Fri" "Fri_Sat"
-"2011-12-31" "Sat" "Sat" "Sat_Hol"

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/datesall.txt b/old_C_code/stage2_UNFINISHED/src/unused/datesall.txt
deleted file mode 100644 (file)
index e4622a9..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/datesall.txt
+++ /dev/null
@@ -1,43721 +0,0 @@
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diff --git a/old_C_code/stage2_UNFINISHED/src/unused/descriptive-32K.r b/old_C_code/stage2_UNFINISHED/src/unused/descriptive-32K.r
deleted file mode 100644 (file)
index 5e1b29b..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/descriptive-32K.r
+++ /dev/null
@@ -1,81 +0,0 @@
-# File: descriptive-32K.r
-
-rm(list = ls())
-#library(dplyr)
-
-## Following lines allow to construct the data file
-## totconso-par-indiv.txt. 
-## They are very time&memory-consumming 
-#library(data.table)  
-#d10 <- fread("~/tmp/data/2010.csv")
-#tot <- d10[, list(tot= sum(CPP_PUISSANCE_BRUTE), 
-#                  min= min(CPP_PUISSANCE_BRUTE), 
-#                  max= max(CPP_PUISSANCE_BRUTE), 
-#                  sd = sd( CPP_PUISSANCE_BRUTE)), 
-#                  by = FK_CCU_ID]
-# write.table(file = "~/tmp/data/totconso-par-indiv.txt", tot)
-
-tot     <- read.table("~/tmp/data/totconso-par-indiv.txt")
-synchro <- read.table("~/tmp/data/syncrone2010.txt")
-mat_synchro <- matrix(c(synchro$V1[1:2], synchro$V1) / 1e6, 
-                      ncol = 48,
-                      byrow = TRUE)
-
-xHour <- seq(1/2, 24, length.out = 48)
-xDate <- seq.Date(from = as.Date("2010/1/1"),
-                  to   = as.Date("2011/1/1"),
-                  length.out = 365 * 48 - 2)  
-
-# Filter infra daily
-plot(xDate, filter(synchro$V1 / 1e6, rep(1 / 48, 48)), 
-     type = 'l', 
-     main = 'Synchrone 2010',
-     ylab = 'Charge (en Mwh)',
-     xlab = 'Time')
-
-# Daily
-matplot(xHour, scale(t(mat_synchro)), type = 'l', lty = 1, 
-        col  = rgb(0, 0, 0, .25),
-        main = 'Synchrone jounalière (norm.)',
-        xlab = 'Heures', ylab = 'Charge (en Mwh)')
-
-
-tot_order <- tot[order(tot$tot), ]
-max_order <- tot[order(tot$max), ]
-
-## Mesures aberrantes ?
-tail(cbind(max_order[,1], max_order[,-1] / 1e3))
-
-
-## I want to recuperate ids: 186733, 191819, 193174
-## which corresponds to places 1, 2481, 3478
-# identiants <- read.table('~/tmp/data/identifs.txt')
-# match(c(186733, 191819, 193174), identiants$V1)
-
-#c186733 <- d10[, FK_CCU_ID == 186733]
-#c191819 <- d10[, FK_CCU_ID == 191819]
-#c193174 <- d10[, FK_CCU_ID == 193174]
-
-c186733 <- read.csv("~/tmp/data/c186733.csv")[, 4] / 1e3
-
-mat_186733 <- matrix(c(c186733[1:2], c186733), 
-                      ncol = 48,
-                      byrow = TRUE)
-
-# Filter infra daily
-plot(xDate, filter(c186733, rep(1 / 48, 48)), 
-     type = 'l', 
-     main = "Consommation individuelle (2010)",
-     ylab = 'Charge (en Mwh)',
-     xlab = 'Temps')
-
-# Daily (raw)
-matplot(xHour, t(mat_186733), type = 'l', lty = 1, 
-        col  = rgb(0, 0, 0, .25),
-        #main = "Consommation individuelle journalière "
-        xlab = 'Heures', ylab = 'Charge (en Mwh)')
-
-# Daily (standarized)
-matplot(xHour, scale(t(mat_186733)), type = 'l', lty = 1, 
-        col  = rgb(0, 0, 0, .25),
-        xlab = 'Heures', ylab = 'Charge (en Mwh)')

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/effectives-per-classe.r b/old_C_code/stage2_UNFINISHED/src/unused/effectives-per-classe.r
deleted file mode 100644 (file)
index a63a8fb..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/effectives-per-classe.r
+++ /dev/null
@@ -1,6 +0,0 @@
-# compute the effectives per class
-
-load("~/ownCloud/projects/2014_EDF-Orsay-Lyon2/res/clfit200RC.Rdata")
-clustfactor <- read.table("~/tmp/clustfactorWER15.txt")
-
-aggregate(c(table(res[,1])), by = list(clustfactor$x), FUN = sum)

diff --git a/old_C_code/stage2_UNFINISHED/src/unused/identifs.txt b/old_C_code/stage2_UNFINISHED/src/unused/identifs.txt
deleted file mode 100644 (file)
index 6526f54..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/identifs.txt
+++ /dev/null
@@ -1,25011 +0,0 @@
-186733
-186734
-186735
-186737
-186738
-186740
-186741
-186742
-186743
-186745
-186747
-186748
-186749
-186750
-186751
-186752
-186754
-186757
-186759
-186760
-186761
-186762
-186764
-186765
-186766
-186767
-186769
-186771
-186772
-186774
-186775
-186776
-186777
-186778
-186779
-186781
-186782
-186784
-186785
-186786
-186787
-186788
-186791
-186792
-186793
-186795
-186796
-186797
-186798
-186799
-186800
-186801
-186802
-186803
-186805
-186806
-186807
-186808
-186809
-186811
-186812
-186813
-186814
-186815
-186816
-186817
-186818
-186819
-186820
-186821
-186823
-186824
-186826
-186827
-186828
-186829
-186830
-186831
-186832
-186833
-186835
-186836
-186837
-186838
-186839
-186840
-186841
-186842
-186843
-186844
-186846
-186847
-186848
-186849
-186850
-186851
-186852
-186853
-186854
-186855
-186856
-186857
-186858
-186859
-186860
-186861
-186863
-186864
-186865
-186868
-186872
-186873
-186874
-186875
-186876
-186877
-186878
-186879
-186880
-186881
-186882
-186883
-186884
-186885
-186887
-186888
-186889
-186890
-186893
-186894
-186895
-186896
-186897
-186898
-186899
-186900
-186901
-186902
-186903
-186904
-186905
-186907
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diff --git a/old_C_code/stage2_UNFINISHED/src/unused/sowas-superseded.r b/old_C_code/stage2_UNFINISHED/src/unused/sowas-superseded.r
deleted file mode 100644 (file)
index dca3353..0000000
--- a/old_C_code/stage2_UNFINISHED/src/unused/sowas-superseded.r
+++ /dev/null
@@ -1,1563 +0,0 @@
-###########################################################
-# CONTINUOUS WAVELET TRANSFORMATION OF A TIME SERIES OBJECT
-###########################################################
-
-cwt.ts <- function(ts,s0,noctave=5,nvoice=10,w0=2*pi){
-  
-  if (class(ts)!="ts"){
-    
-    cat("# This function needs a time series object as input. You may construct this by using the function ts(data,start,deltat). Try '?ts' for help.\n")
-    
-  }
-  else{
-    
-    t=time(ts)
-    dt=t[2]-t[1]
-    
-    s0unit=s0/dt*w0/(2*pi)   
-    s0log=as.integer((log2(s0unit)-1)*nvoice+1.5)
-    
-    if (s0log<1){
-      cat(paste("# s0unit = ",s0unit,"\n",sep=""))
-      cat(paste("# s0log  = ",s0log,"\n",sep=""))
-      cat("# s0 too small for w0! \n")
-    }
-    totnoct=noctave+as.integer(s0log/nvoice)+1
-    
-    totts.cwt=cwt(ts,totnoct,nvoice,w0,plot=0)
-    
-    ts.cwt=totts.cwt[,s0log:(s0log+noctave*nvoice)]
-    
-    #Normalization
-    sqs <- sqrt(2^(0:(noctave*nvoice)/nvoice)*s0)
-    smat <- matrix(rep(sqs,length(t)),nrow=length(t),byrow=TRUE)
-    
-    ts.cwt*smat
-    
-  }
-  
-}
-
-#####################################
-# WSP
-#####################################
-
-wsp <- function(ts,s0=1,noctave=5,nvoice=10,w0=2*pi,sw=0,tw=0,swabs=0,siglevel=0.95,critval=NULL,nreal=1000,arealsiglevel=0.9,kernel=0,markt=-999,marks=-999,logscale=FALSE,plot=TRUE,units="",device="screen",file="wsp",color=TRUE,pwidth=10,pheight=7,labsc=1,labtext="",sigplot=3){
-  
-  if (class(ts)!="ts"){
-    
-    cat("# This function needs a time series object as input. You may construct this by using the function ts(data,start,deltat). Try '?ts' for help.\n")
-    
-  }
-  else{
-    
-    if (sw!=0 & swabs==0)
-      swabs <- as.integer(sw*nvoice)
-    if (swabs!=0 & sw==0)
-      sw <- swabs/nvoice
-    
-    sllist <- checkarealsiglevel(sw,tw,w0,arealsiglevel,siglevel,0)
-    arealsiglevel <- sllist$arealsiglevel
-    siglevel <- sllist$siglevel
-    
-    at <- NULL
-    
-    t <- time(ts)
-    dt <- deltat(ts)
-    s0rem <- s0
-    s0 <- adjust.s0(s0,dt)
-    dnoctave <- as.integer(log(s0/s0rem-0.000000000001)/log(2))+1
-    
-    noctave <- adjust.noctave(length(ts),dt,s0,tw,noctave)
-    scalevector <- 2^(0:(noctave*nvoice)/nvoice)*s0
-    tsanom <- ts-mean(ts)
-    
-    #WAVELET TRANSFORMATION
-    ts.cwt <- cwt.ts(tsanom,s0,noctave,nvoice,w0)
-    
-    #SMOOTHING
-    wsp <- smooth.matrix(Mod(ts.cwt)^2,swabs)
-    smwsp <- smooth.time(wsp,tw,dt,scalevector)
-    
-    #POINTWISE SIGNIFICANCE TEST
-    if (is.null(critval)==FALSE){ # is critval empty?
-      if (dim(critval)[2]!=dim(smwsp)[2]){ # is critval of the wrong dimension?
-        if (siglevel[1]!=0 & nreal!=0) critval <-
-          criticalvaluesWSP(tsanom,s0,noctave,nvoice,w0,swabs,tw,siglevel,nreal)
-        #critval is of wrong dimension and siglevel and nreal are given
-        else {
-          critval <- NULL # no test possible
-          arealsiglevel <- 0
-          cat("# dimension of critval is wrong \n")
-          cat("# areawise test only possible with pointwise test \n")
-        }
-      }
-    }
-    else{ # critval is empty, but nreal or siglevel is given
-      if (siglevel[1]!=0 & nreal!=0) critval <-
-        criticalvaluesWSP(tsanom,s0,noctave,nvoice,w0,swabs,tw,siglevel,nreal)
-      else {
-        critval <- NULL
-        arealsiglevel <- 0
-        cat("# areawise test only possible with pointwise test \n")
-      }
-    }
-    
-    #AREAL SIGNIFICANCE TEST
-    if (arealsiglevel!=0){
-      v <- critval[1,]
-      v[v==0] <- 9999
-      cvmat <- matrix(rep(v,length(t)),nrow=length(t),byrow=TRUE)
-      atest <- arealtest(smwsp/cvmat,dt,s0,noctave,nvoice,w0,swabs,tw,siglevel,arealsiglevel,kernel,0)
-      at <- atest$at
-      kernel <- atest$kernel
-    }
-    
-    if (s0rem<s0){
-      smwsp <- addvalues(nvoice,dnoctave,smwsp,NA)
-      critval <- addvalues(nvoice,dnoctave,critval,1)
-      #at <- addvalues(nvoice,dnoctave,at,NA)
-      noctave <- noctave+dnoctave
-      s0 <- s0/2^dnoctave
-      scalevector <- 2^(0:(noctave*nvoice)/nvoice)*s0
-    }
-    
-    #PARAMETERS
-    wclist <-
-      list(modulus=smwsp,phase=NULL,time=t,s0=s0,noctave=noctave,nvoice=nvoice,w0=w0,scales=scalevector,critval=critval,at=at,kernel=kernel)
-    
-    class(wclist) <- "wt"
-    
-    #PLOTTING
-    if (plot)
-      plot(wclist,markt,marks,NULL,NULL,logscale,FALSE,units,"Wavelet Power Spectrum",device,file,FALSE,color,pwidth,pheight,labsc,labtext,sigplot)
-    
-    wclist
-    
-  }
-  
-}
-
-#####################################
-# WCO
-#####################################
-
-wco <-
-  function(ts1,ts2,s0=1,noctave=5,nvoice=10,w0=2*pi,sw=0,tw=0,swabs=0,siglevel=0.95,arealsiglevel=0.9,kernel=0,markt=-999,marks=-999,sqr=FALSE,phase=TRUE,plot=TRUE,units="",device="screen",file="wcoh",split=FALSE,color=TRUE,pwidth=10,pheight=7,labsc=1,labtext="",sigplot=3){
-    
-    if (class(ts1)!="ts"){
-      
-      cat("# This function needs two time series objects as input. You may construct them by using the function ts(data,start,deltat). Try '?ts' for help.\n")
-      
-    }
-    else{
-      
-      if (sw!=0 & swabs==0)
-        swabs <- as.integer(sw*nvoice)
-      if (swabs!=0 & sw==0)
-        sw <- swabs/nvoice
-      
-      sllist <- checkarealsiglevel(sw,tw,w0,arealsiglevel,siglevel,1)
-      arealsiglevel <- sllist$arealsiglevel
-      siglevel <- sllist$siglevel
-      
-      if (sw==0 & tw==0 & swabs==0) {
-        cat("# coherence without averaging makes no sense! \n")
-        siglevel <- 0
-        arealsiglevel <- 0
-      }
-      
-      if (phase==FALSE) phs <- NULL
-      
-      at <- NULL
-      
-      tsadjust <- adjust.timeseries(ts1,ts2)
-      ts1 <- tsadjust$ts1
-      ts2 <- tsadjust$ts2
-      
-      t <- time(ts1)
-      dt <- deltat(ts1)
-      
-      s0rem <- s0
-      s0 <- adjust.s0(s0,dt)
-      dnoctave <- as.integer(log(s0/s0rem-0.000000000001)/log(2))+1
-      
-      noctave <- adjust.noctave(length(ts1),dt,s0,tw,noctave)
-      
-      scalevector <- 2^(0:(noctave*nvoice)/nvoice)*s0
-      
-      ts1anom <- ts1-mean(ts1)
-      ts2anom <- ts2-mean(ts2)
-      
-      ts1.cwt <- cwt.ts(ts1anom,s0,noctave,nvoice,w0)
-      ts2.cwt <- cwt.ts(ts2anom,s0,noctave,nvoice,w0)
-      
-      cosp <- Re(ts1.cwt)*Re(ts2.cwt) + Im(ts1.cwt)*Im(ts2.cwt)
-      quad <- Im(ts1.cwt)*Re(ts2.cwt) - Re(ts1.cwt)*Im(ts2.cwt)
-      wsp1 <- Mod(ts1.cwt)^2
-      wsp2 <- Mod(ts2.cwt)^2
-      
-      smcosp <- smooth.matrix(cosp,swabs)
-      smquad <- smooth.matrix(quad,swabs)
-      smwsp1 <- smooth.matrix(wsp1,swabs)
-      smwsp2 <- smooth.matrix(wsp2,swabs)
-      
-      smsmcosp <- smooth.time(smcosp,tw,dt,scalevector)
-      smsmquad <- smooth.time(smquad,tw,dt,scalevector)
-      smsmwsp1 <- smooth.time(smwsp1,tw,dt,scalevector)
-      smsmwsp2 <- smooth.time(smwsp2,tw,dt,scalevector)
-      
-      if (sqr==FALSE)
-        wcoh <- sqrt((smsmcosp^2+smsmquad^2)/(smsmwsp1*smsmwsp2))
-      else
-        wcoh <- (smsmcosp^2+smsmquad^2)/(smsmwsp1*smsmwsp2)
-      
-      if (phase)
-        phs <- atan2(smsmquad,smsmcosp)
-      else phs <- NULL
-      
-      #POINTWISE SIGNIFICANCE TEST
-      if (siglevel[1]!=0) critval <- criticalvaluesWCO(s0,noctave,nvoice,w0,swabs,tw,siglevel)
-      else critval <- NULL
-      if (sqr==TRUE & is.null(critval)==FALSE)
-        critval <- critval^2
-      
-      #AREAWISE SIGNIFICANCE TEST
-      if (arealsiglevel!=0){
-        atest <- arealtest(wcoh/critval,dt,s0,noctave,nvoice,w0,swabs,tw,siglevel,arealsiglevel,kernel,1)
-        at <- atest$at
-        kernel <- atest$kernel
-      }
-      
-      wcoh[1,1] <- 0
-      wcoh[1,2] <- 1
-      
-      if (phase){
-        phs[1,1] <- -pi
-        phs[1,2] <- pi 
-      }
-      
-      if (s0rem<s0){
-        wcoh <- addvalues(nvoice,dnoctave,wcoh,NA)
-        phs <- addvalues(nvoice,dnoctave,phs,NA)
-        noctave <- noctave+dnoctave
-        s0 <- s0/2^dnoctave
-        scalevector <- 2^(0:(noctave*nvoice)/nvoice)*s0
-      }
-      
-      wclist <- list(modulus=wcoh,phase=phs,s0=s0,noctave=noctave,nvoice=nvoice,w0=w0,time=t,scales=scalevector,critval=critval,at=at,kernel=kernel)
-      
-      class(wclist) <- "wt"
-      
-      if (plot) plot(wclist,markt,marks,NULL,NULL,FALSE,phase,units,"Wavelet Coherence",device,file,split,color,pwidth,pheight,labsc,labtext,sigplot)
-      
-      wclist
-      
-    }
-    
-  }
-
-#####################################
-# WCS
-#####################################
-
-wcs <- function(ts1,ts2,s0=1,noctave=5,nvoice=10,w0=2*pi,sw=0,tw=0,swabs=0,markt=-999,marks=-999,logscale=FALSE,phase=TRUE,plot=TRUE,units="",device="screen",file="wcsp",split=FALSE,color=TRUE,pwidth=10,pheight=7,labsc=1,labtext=""){
-  
-  if (class(ts1)!="ts"){
-    
-    cat("# This function needs two time series objects as input. You may construct them by using the function ts(data,start,deltat). Try '?ts' for help. \n")
-    
-  }
-  else{
-    
-    if (sw!=0 & swabs==0)
-      swabs <- as.integer(sw*nvoice)
-    if (swabs!=0 & sw==0)
-      sw <- swabs/nvoice
-    
-    tsadjust <- adjust.timeseries(ts1,ts2)
-    ts1 <- tsadjust$ts1
-    ts2 <- tsadjust$ts2
-    
-    t <- time(ts1)
-    dt <- deltat(ts1)
-    
-    s0rem <- s0
-    s0 <- adjust.s0(s0,dt)
-    dnoctave <- as.integer(log(s0/s0rem-0.000000000001)/log(2))+1
-    
-    noctave <- adjust.noctave(length(ts1),dt,s0,tw,noctave)
-    
-    scalevector <- 2^(0:(noctave*nvoice)/nvoice)*s0
-    
-    ts1anom <- ts1-mean(ts1)
-    ts2anom <- ts2-mean(ts2)
-    
-    ts1.cwt <- cwt.ts(ts1anom,s0,noctave,nvoice,w0)
-    ts2.cwt <- cwt.ts(ts2anom,s0,noctave,nvoice,w0)
-    
-    cosp <- Re(ts1.cwt)*Re(ts2.cwt) + Im(ts1.cwt)*Im(ts2.cwt)
-    quad <- Im(ts1.cwt)*Re(ts2.cwt) - Re(ts1.cwt)*Im(ts2.cwt)
-    
-    smcosp <- smooth.matrix(cosp,swabs)
-    smquad <- smooth.matrix(quad,swabs)
-    
-    smsmcosp <- smooth.time(smcosp,tw,dt,scalevector)
-    smsmquad <- smooth.time(smquad,tw,dt,scalevector)
-    
-    wcsp <- smsmcosp^2+smsmquad^2
-    
-    if (phase)
-      phs <- atan2(smsmquad,smsmcosp)
-    else phs <- NULL
-    
-    if (phase){
-      phs[1,1] <- -pi
-      phs[1,2] <- pi 
-    }
-    
-    if (s0rem<s0){
-      wcsp <- addvalues(nvoice,dnoctave,wcoh,NA)
-      phs <- addvalues(nvoice,dnoctave,phs,NA)
-      noctave <- noctave+dnoctave
-      s0 <- s0/2^dnoctave
-      scalevector <- 2^(0:(noctave*nvoice)/nvoice)*s0
-    }
-    
-    wclist <- list(modulus=wcsp,phase=phs,s0=s0,noctave=noctave,nvoice=nvoice,w0=w0,time=t,scales=scalevector,critval=NULL,at=NULL,kernel=NULL)
-    
-    class(wclist) <- "wt"
-    
-    if (plot) plot(wclist,markt,marks,NULL,NULL,logscale,phase,units,"Wavelet Cross Spectrum",device,file,split,color,pwidth,pheight,labsc,labtext)
-    
-    wclist
-    
-  }
-  
-}
-
-##########################################
-# POINTWISE SIGNIFICANCE TEST
-##########################################
-
-rawWSP <- function(ts,s0=1,noctave=5,nvoice=20,w0=2*pi,swabs=0,tw=0,scalevector){
-  
-  tsanom <- ts-mean(ts)
-  
-  ts.cwt <- cwt.ts(tsanom,s0,noctave,nvoice,w0)
-  
-  wsp <- Mod(ts.cwt)^2
-  
-  smwsp <- smooth.matrix(wsp,swabs)
-  smsmwsp <- smooth.time(smwsp,tw,deltat(ts),scalevector)
-  
-  smsmwsp
-  
-}
-
-criticalvaluesWSP <- function(ts,s0=1,noctave=5,nvoice=10,w0=2*pi,swabs=0,tw=0,siglevel=0.95,nreal=1000){
-  
-  t=time(ts)
-  dt=deltat(ts)
-  
-  s0 <- adjust.s0(s0,dt)
-  noctave <- adjust.noctave(length(ts),dt,s0,tw,noctave)
-  
-  scalevector <- 2^(0:(noctave*nvoice)/nvoice)*s0
-  
-  cat("# calculating critical values by means of MC-simulations \n")
-  
-  s0unit=s0/dt*w0/(2*pi)                
-  s0log=as.integer((log2(s0unit)-1)*nvoice+1.5)
-  
-  wsp0 <- rawWSP(ts,s0,noctave,nvoice,w0,swabs,tw,scalevector)
-  
-  S <- dim(wsp0)[2]
-  
-  n1 <- 1 + 2*as.integer( sqrt(2) * 2^((S-swabs+s0log-1)/nvoice+1) )
-  n2 <- max(scalevector)*tw*2/dt*1.1
-  n3 <- 2*tw*s0*2^noctave/dt+100
-  n <- max(n1,n2,n3)
-  
-  center <- (n-1)/2+1
-  cv <- matrix(rep(0,S*length(siglevel)),ncol=S)
-  rmatrix <- matrix(0,nrow=nreal,ncol=S)
-  
-  # Fitting AR1-process (red noise) to data
-  arts0 <- ar(ts,order.max=1)
-  sdts0 <- sd(ts[1:length(ts)]) 
-  
-  if (arts0$order==0){
-    se <- sqrt(arts0$var)
-    arts0$ar <- 0.000001
-  }
-  else
-    se <- sqrt(sdts0*sdts0*(1-arts0$ar*arts0$ar))
-  
-  tsMC <- ts(data=rep(0,n),start=t[1],frequency=1/dt)
-  
-  # MC Simulations
-  for (i in 1:nreal){
-    
-    tsMC[1:n] <- arima.sim(list(ar = arts0$ar), n+1, sd = se)[2:(n+1)]
-    
-    rmatrix[i,] <- rawWSP(tsMC,s0,noctave,nvoice,w0,swabs,tw,scalevector)[center,]
-    
-  }
-  
-  for (s in (1+swabs):(S-swabs)) rmatrix[,s] <- sort(rmatrix[,s])
-  
-  for (i in 1:length(siglevel)){ 
-    sigindex <- as.integer(nreal*siglevel[i])
-    cvv <- rmatrix[sigindex,]
-    cvv[is.na(cvv)] <- 0
-    cv[i,] <- cvv
-  }
-  
-  cv
-  
-}
-
-###########
-
-criticalvaluesWCO <- function(s0,noctave,nvoice,w0,swabs,tw,siglevel=0.95){
-  
-  cv=rep(0,length(siglevel))
-  
-  for (i in 1:length(siglevel)){
-    
-    if (siglevel[i]!=0.9 && siglevel[i]!=0.95 && siglevel[i]!=0.99) siglevel[i] <- 0.95
-    
-    if (siglevel[i]==0.9){
-      cat("# significance level set to 0.90 \n")
-      sw <- 1.0*swabs/nvoice
-      cv[i] <- 0.00246872*w0^2*sw + 0.0302419*w0*sw^2 + 0.342056*sw^3 -
-        0.000425853*w0^2 - 0.101749*w0*sw - 0.703537*sw^2 +
-        0.00816219*w0 + 0.442342*sw + 0.970315
-    }
-    
-    if (siglevel[i]==0.95){
-      cat("# significance level set to 0.95 \n")
-      sw <- swabs*100.0/3.0/nvoice
-      cv[i] <- 0.0000823*w0^3 + 0.0000424*w0^2*sw + 0.0000113*w0*sw^2 +
-        0.0000154*sw^3 - 0.0023*w0^2 - 0.00219*w0*sw - 0.000751*sw^2 +
-        0.0205*w0 + 0.0127*sw + 0.95
-    }
-    
-    if (siglevel[i]==0.99){
-      cat("# significance level set to 0.99 \n")
-      sw <- 1.0*swabs/nvoice
-      cv[i] <- 0.00102304*w0^2*sw +  0.00745772*w0*sw^2 + 0.230035*sw^3 -
-        0.000361565*w0^2 - 0.0502861*w0*sw - 0.440777*sw^2 +
-        0.00694998*w0 + 0.29643*sw + 0.972964
-    }
-    
-    if (cv[i]>1) cv[i] <- 1
-    
-    cat(paste("# significance testing, cv=",cv[i]," \n",sep=""))
-    
-  }
-  
-  cv
-  
-}
-
-#############################
-# AREAWISE SIGNIFICANCE TEST
-#############################
-
-slide <- function(data,kernellist,s0,noctave,nvoice,cv){
-  
-  # slides kernel over data set
-  #---------------------------- 
-  # data:       matrix containing data
-  # kernellist: matrix containing kernel
-  # s0:         lowest scale
-  # noctave:    number of octaves
-  # nvoice:     number of voices per octave
-  # cv:         critical value, all values higher are set to one
-  
-  #Time:  (rows) n,i the kernel is to be scaled in this direction 
-  #Scale: (cols) m,j
-  
-  data[data<cv] <- 0
-  
-  kernel <- kernellist$bitmap
-  
-  js <- kernellist$is
-  
-  sm <- s0*2^noctave
-  
-  dbin <- tobin(data)
-  kbin <- tobin(kernel)
-  
-  dn <- nrow(dbin)
-  dm <- ncol(dbin)
-  
-  kn <- nrow(kbin)
-  km <- ncol(kbin)
-  
-  mark <- matrix(rep(0,dn*dm),nrow=dn)
-  
-  for (j in 1:(dm-km+1)){
-    
-    s <- s0*2^((j+js-1)/nvoice)
-    kscn <- as.integer(kn*s/sm);
-    if (kscn==0) kscn <- 1
-    
-    ksc <- scaleKernel(kbin,kscn)
-    kscm <- km
-    
-    for (i in 1:(dn-kscn+1)){
-      
-      subbin <- dbin[i:(i+kscn-1),j:(j+kscm-1)]
-      
-      if (sum(ksc*subbin)==sum(ksc))
-        mark[i:(i+kscn-1),j:(j+kscm-1)] <- mark[i:(i+kscn-1),j:(j+kscm-1)]+ksc
-      
-    }
-    
-  }
-  
-  mark <- tobin(mark)
-  
-  mark
-  
-}
-
-arealtest <- function(wt,dt=1,s0=1,noctave=5,nvoice=20,w0=2*pi,swabs=0,tw=0,siglevel,arealsiglevel=0.9,kernel=0,type=0){
-  
-  slp <- slope(w0,swabs,tw,nvoice,siglevel,arealsiglevel,type)
-  
-  if (length(kernel)<2){ 
-    maxarea <- s0*2^noctave*slp/10*nvoice/dt
-    cat(paste("# calculating kernel (maxarea=",maxarea,")\n",sep=""))
-    cvkernel <-
-      kernelRoot(s0,w0,a=maxarea,noctave,nvoice,swabs,tw,dt)
-    
-    cat("# building kernel bitmap \n")
-    kernel <-
-      kernelBitmap(cvkernel,s0,w0,noctave,nvoice,swabs,tw,dt)
-    
-  }
-  
-  cat("# performing arealtest \n")
-  sl <- slide(wt,kernel,s0,noctave,nvoice,1)  
-  
-  list(at=sl,kernel=kernel)
-  
-}
-
-#############################
-# PLOTTING
-#############################
-
-plotat <- function(t,wt,at,sigplot){
-  
-  if (length(at)>1){
-    linewidth <- 1
-    if (sigplot==3) 
-      linewidth <- 5
-    
-    contour(x=t,z=at,levels=0.5,add=TRUE,drawlabels=FALSE,axes=FALSE,lwd=linewidth,col="black")
-  }
-  
-}
-
-
-plotcv <- function(t,wt,cv){
-  
-  if (length(dim(cv))==0)
-    
-    contour(x=t,z=wt,levels=c(cv),drawlabels=FALSE,axes=FALSE,add=TRUE,col="black",lwd=1)
-  
-  else{
-    
-    for(i in 1:nrow(cv)){
-      
-      v <- cv[i,]
-      v[v==0] <- 9999
-      m <- matrix(rep(v,length(t)),nrow=length(t),byrow=TRUE)
-      
-      contour(x=t,z=wt/m,levels=1,drawlabels=FALSE,axes=FALSE,add=TRUE,col="black",lwd=1)
-      
-    }
-    
-  }
-  
-}
-
-plotcoi <- function(t,s0,noctave,w0){
-  
-  tv <- as.vector(t)
-  tvl <- tv[tv-tv[1]<(tv[length(tv)]-tv[1])/2]
-  tvr <- tv[tv-tv[1]>=(tv[length(tv)]-tv[1])/2]
-  
-  lines(tvl,log2(((tvl-tv[1])*4*pi/((w0+sqrt(2+w0*w0))*sqrt(2)))/s0)/noctave,col="black")
-  lines(tvr,log2(((tv[length(tv)]-tvr)*4*pi/((w0+sqrt(2+w0*w0))*sqrt(2)))/s0)/noctave,col="black")
-  
-}
-
-plotmarks <- function(t,s0,noctave,markt,marks){
-  
-  if (markt[1]!=-999){
-    
-    for (i in 1:length(markt)){
-      lines(c(markt[i],markt[i]),c(0,1),lty="dotted")
-    }
-    
-  }
-  
-  if (marks[1]!=-999){
-    
-    for (i in 1:length(marks)){
-      lines(c(t[1],t[length(t)]),c(log2(marks[i]/s0)/noctave,log2(marks[i]/s0)/noctave),lty="dotted")
-    }
-    
-  }
-  
-}
-
-
-#####################
-# PLOT.WT
-#####################
-
-plot.wt <- function(wt,markt=-999,marks=-999,t1=NULL,t2=NULL,logscale=FALSE,phase=FALSE,units="",plottitle="",device="screen",file="wt",split=FALSE,color=TRUE,pwidth=10,pheight=5,labsc=1.5,labtext="",sigplot=3,xax=NULL,xlab=NULL,yax=NULL,ylab=NULL){
-  
-  plotwt(wt$modulus,wt$phase,wt$time,wt$s0,wt$noctave,wt$w0,wt$critval,wt$at,markt,marks,t1,t2,logscale,phase,units,plottitle,device,file,split,color,pwidth,pheight,labsc,labtext,sigplot,xax,xlab,yax,ylab)
-  
-}
-
-plotwt <-
-  function(wt,phs,t,s0,noctave,w0,cv=NULL,at=NULL,markt=-999,marks=-999,t1=NULL,t2=NULL,logscale=FALSE,phase=FALSE,units="",plottitle="Wavelet Plot",device="screen",file="wavelet",split=FALSE,color=TRUE,pwidth=10,pheight=7,labsc=1,labtext="",sigplot=1,xax=NULL,xlab=NULL,yax=NULL,ylab=NULL){
-    
-    if (is.null(phs)) phase <- FALSE
-    
-    mgpv <- c(3,1,0)
-    if (labsc>1) mgpv[1] <- 3-(labsc-1.5) 
-    
-    ncolors <- 64
-    colors <- wtcolors(ncolors)
-    if (color==FALSE) colors <- gray((0:ncolors)/ncolors*0.7+0.3)
-    
-    rangev <- (0:(ncolors-1))/(ncolors-1)
-    rangebar <- matrix(rangev,nrow=2,ncol=64,byrow=TRUE) 
-    
-    s <- 2^(0:(noctave))*s0
-    sn <- (0:(noctave))/noctave
-    
-    deltat <- (t[length(t)]-t[1])/(length(t)-1)
-    cut <- FALSE
-    if ((!is.null(t1)) | (!is.null(t2))){
-      if (t1<t2 & t1>=t[1] & t2<=t[length(t)]){
-        
-        cut <- TRUE
-        
-        i1 <- (t1-t[1])/deltat+1
-        i2 <- (t2-t[1])/deltat+1
-        
-        t <- t[t>=t1 & t<=t2]
-        
-        wt <- wt[i1:i2,]
-        if (phase) phs <- phs[i1:i2,]
-        if (length(at)>1) at <- at[i1:i2,]
-        
-      }
-    }
-    
-    #----------------
-    # Setting layout
-    #----------------
-    
-    if (device=="ps" && split==FALSE){
-      
-      file <- paste(file,".eps",sep="")
-      
-      postscript(file,onefile=TRUE,horizontal=TRUE,paper="special",width=pwidth,height=pheight)
-      cat(paste("# writing",file," \n"))
-      
-    }
-    
-    if (device=="ps" && split==TRUE){
-      
-      file1 <- paste(file,".mod.eps",sep="")
-      
-      postscript(file1,onefile=TRUE,horizontal=TRUE,paper="special",width=pwidth,height=pheight)
-      cat(paste("# writing",file1," \n"))
-      
-    }
-    
-    if (phase==TRUE && split==FALSE) nlo <- layout(matrix(c(1,2,3,4),2,2,byrow=TRUE),widths=c(4,1))
-    else nlo <- layout(matrix(c(1,2),ncol=2,byrow=TRUE),widths=c(4,1))
-    
-    
-    #-----------------
-    # Plotting modulus
-    #-----------------
-    
-    if (logscale){
-      if (units=="")
-        image(x=t,z=log10(wt),col = colors,axes=FALSE,xlab="Time",ylab="Scale",frame.plot=TRUE,cex.lab=labsc,mgp=mgpv)
-      else
-        image(x=t,z=log10(wt),col = colors,axes=FALSE,xlab=paste("Time ","[",units,"]",sep=""),ylab=paste("Scale ","[",units,"]",sep=""),frame.plot=TRUE,cex.lab=labsc,mgp=mgpv)
-    }
-    else{
-      if (units=="")
-        image(x=t,z=wt,col = colors,axes=FALSE,xlab="Time",ylab="Scale",frame.plot=TRUE,cex.lab=labsc,mgp=mgpv)
-      else
-        image(x=t,z=wt,col = colors,axes=FALSE,xlab=paste("Time ","[",units,"]",sep=""),ylab=paste("Scale ","[",units,"]",sep=""),frame.plot=TRUE,cex.lab=labsc,mgp=mgpv)
-    }
-    
-    text(t[1+as.integer(length(t)*0.1)],0.8,labtext,cex=2)
-    
-    if (sigplot==1 | sigplot==3){
-      if (is.null(cv)==FALSE){                #Critical values
-        if (cv[1]!=0 & cv[1]!=-1) plotcv(t,wt,cv)
-      }
-    }
-    
-    if (sigplot>1) plotat(t,wt,at,sigplot)
-    
-    if (!cut) plotcoi(t,s0,noctave,w0)              #cone of influence
-    plotmarks(t,s0,noctave,markt,marks)   #additional guiding lines
-    
-    if (is.null(xax))
-      axis(side=1,at=axTicks(1),cex.axis=labsc)
-    else
-      if (is.null(xlab))
-        axis(side=1,xax,labels=as.character(xax),cex.axis=labsc)
-    else
-      axis(side=1,xax,labels=xlab,cex.axis=labsc)
-    
-    if (is.null(yax))
-      axis(side=2,sn,labels=as.character(s),cex.axis=labsc)
-    else
-      if (is.null(ylab))
-        axis(side=2,yax,labels=as.character(yax),cex.axis=labsc)
-    else
-      axis(side=2,yax,labels=ylab,cex.axis=labsc)
-    
-    title(main=plottitle,cex=labsc)
-    
-    image(z=rangebar,axes=FALSE,col=colors,frame.plot=TRUE,cex.lab=labsc,mgp=mgpv)
-    
-    if (is.null(cv)==FALSE){
-      if (length(dim(cv))==0){
-        for (i in 1:length(cv))
-          if (cv[i]!=0) lines(c(-1,2),c(cv[i],cv[i]))
-      }
-    }
-    
-    if (!logscale)
-      axis(side=2,(0:5)/5,labels=c("0","","","","","1"),cex.axis=labsc)
-    else{
-      labelv <- substr(as.character(c(0:5)*(max(log10(wt),na.rm=TRUE)-min(log10(wt),na.rm=TRUE))/5),1,4)
-      axis(side=2,(0:5)/5,labels=labelv,cex.axis=labsc)
-    }
-    
-    
-    #-----------------
-    # Plotting phase
-    #-----------------  
-    if (phase==TRUE){
-      
-      if (device=="ps" && split==TRUE){
-        
-        dev.off()
-        
-        file2 <- paste(file,".phs.eps",sep="")
-        
-        postscript(file2,onefile=TRUE,horizontal=TRUE,paper="special",width=10,height=5)
-        cat(paste("# writing",file2," \n"))
-        
-      }
-      
-      colors <- rainbow(ncolors)
-      if (color==FALSE){
-        dummy <- gray((0:ncolors)/ncolors)
-        colors[1:(ncolors/2)] <- dummy[(ncolors/2+1):ncolors]
-        colors[(ncolors/2+1):ncolors] <- dummy[1:(ncolors/2)]
-      }
-      
-      if (units=="")
-        image(x=t,z=phs,col=colors,axes=FALSE,xlab="Time",ylab="Scale",frame.plot=TRUE,cex.lab=labsc,mgp=mgpv)    
-      else
-        image(x=t,z=phs,col=colors,axes=FALSE,xlab=paste("Time ","[",units,"]",sep=""),ylab=paste("Scale ","[",units,"]",sep=""),frame.plot=TRUE,cex.lab=labsc,mgp=mgpv)
-      
-      if (is.null(cv)==FALSE) plotcv(t,wt,cv)
-      if (sigplot>1) plotat(t,wt,at,sigplot)
-      if (!cut) plotcoi(t,s0,noctave,w0)
-      plotmarks(t,s0,noctave,markt,marks)
-      
-      if (is.null(xax))
-        axis(side=1,at=axTicks(1),cex.axis=labsc)
-      else
-        if (is.null(xlab))
-          axis(side=1,xax,labels=as.character(xax),cex.axis=labsc)
-      else
-        axis(side=1,xax,labels=xlab,cex.axis=labsc)
-      
-      if (is.null(yax))
-        axis(side=2,sn,labels=as.character(s),cex.axis=labsc)
-      else
-        if (is.null(ylab))
-          axis(side=2,yax,labels=as.character(yax),cex.axis=labsc)
-      else
-        axis(side=2,yax,labels=ylab,cex.axis=labsc)
-      
-      
-      title(main="Phase")
-      
-      image(z=rangebar,axes=FALSE,col=colors,frame.plot=TRUE,cex.lab=labsc,mgp=mgpv)
-      axis(side=2,(0:4)/4,labels=c("-PI","","0","","PI"),cex.axis=labsc)
-      
-    }
-    
-    if (device=="ps") dev.off()
-    
-  }
-
-##############################
-# Surrogates
-##############################
-
-createwavesurrogates <- function(nsurr=1,wt=1,n,dt=1,s0=1,noctave=5,nvoice=10,w0=2*pi){
-  
-  surrmat <- matrix(rep(0,n*nsurr),ncol=nsurr)
-  
-  for (i in 1:nsurr){
-    
-    cat(paste("# Creating realization ",i,"\n",sep=""))
-    
-    x <- rnorm(n)
-    xts <- ts(x,start=0,deltat=dt)
-    
-    xwt <- cwt.ts(xts,s0,noctave,nvoice,w0)
-    wtsurr <- wt*xwt
-    
-    surri <- as.vector(invmorlet(wtsurr,0,dt,s0,noctave,nvoice,w0))
-    
-    surrmat[,i] <- Re(surri)
-    
-  }
-  
-  surrmat
-  
-}
-
-surrwave <- function(x,...)
-  UseMethod("surrwave")
-
-surrwave.wt <- function(wt,nsurr=1,spec=TRUE){
-  
-  n <- length(wt$time)
-  t0 <- wt$time[1]
-  dt <- (wt$time[13]-t0)/12
-  s0 <- wt$s0
-  noctave <- wt$noctave
-  nvoice <- wt$nvoice
-  w0 <- wt$w0
-  
-  wt <- wt$modulus
-  if (spec==TRUE)
-    wt <- sqrt(wt)
-  
-  surrmat <- createwavesurrogates(nsurr,wt,n,dt,s0,noctave,nvoice,w0)
-  
-  surrts <- ts(surrmat,start=t0,deltat=dt)
-  
-  surrts
-  
-}
-
-surrwave.matrix <- function(mat,nsurr=1,t0=0,dt=1,s0=1,noctave=5,nvoice=10,w0=2*pi,sw=0,tw=0,swabs=0,spec=FALSE){
-  
-  if (sw!=0 & swabs==0)
-    swabs <- as.integer(sw*nvoice)
-  
-  scalevector <- 2^(0:(noctave*nvoice)/nvoice)*s0
-  
-  if ((noctave*nvoice+1)!=dim(mat)[2])
-    cat("# ERROR! nscales unequal noctave*nvoice+1 ! \n")
-  
-  n <- dim(mat)[1]
-  
-  if (spec==FALSE)
-    mat <- Mod(mat)
-  else
-    mat <- sqrt(Mod(mat))
-  
-  wtsm <- smooth.matrix(mat,swabs)
-  wt <- smooth.time(wtsm,tw,dt,scalevector)
-  
-  surrmat <- createwavesurrogates(nsurr,wt,n,dt,s0,noctave,nvoice,w0)
-  
-  surrts <- ts(surrmat,start=t0,deltat=dt)
-  
-  surrts
-  
-}
-
-surrwave.character <-
-  function(file,nsurr=1,t0=0,dt=1,s0=1,noctave=5,nvoice=10,w0=2*pi,sw=0,tw=0,swabs=0,transpose=TRUE,spec=FALSE){
-    
-    if (sw!=0 & swabs==0)
-      swabs <- as.integer(sw*nvoice)
-    
-    scalevector <- 2^(0:(noctave*nvoice)/nvoice)*s0
-    
-    if (transpose==FALSE)
-      mat <- matrix(scan(file,comment.char="#"),ncol=nvoice*noctave+1,byrow=TRUE)    
-    else 
-      mat <- matrix(scan(file,comment.char="#"),ncol=nvoice*noctave+1,byrow=FALSE)
-    
-    if ((noctave*nvoice+1)!=dim(mat)[2])
-      cat("# ERROR! nscales unequal noctave*nvoice+1 ! \n")
-    
-    n <- dim(mat)[1]
-    
-    if (spec==FALSE)
-      mat <- Mod(mat)
-    else
-      mat <- sqrt(Mod(mat))
-    
-    wtsm <- smooth.matrix(mat,swabs)
-    wt <- smooth.time(wtsm,tw,dt,scalevector)
-    
-    surrmat <- createwavesurrogates(nsurr,wt,n,dt,s0,noctave,nvoice,w0)
-    
-    surrts <- ts(surrmat,start=t0,deltat=dt)
-    
-    surrts
-    
-  }
-
-surrwave.ts <- function(ts,nsurr=1,s0=1,noctave=5,nvoice=10,w0=2*pi,sw=0,tw=0,swabs=0){
-  
-  n <- length(ts)
-  t0 <- time(ts)[1]
-  dt <- deltat(ts)
-  if (sw!=0 & swabs==0)
-    swabs <- as.integer(sw*nvoice)
-  
-  scalevector <- 2^(0:(noctave*nvoice)/nvoice)*s0
-  
-  wt <- Mod(cwt.ts(ts,s0,noctave,nvoice,w0))
-  
-  wtsm <- smooth.matrix(wt,swabs)
-  wt <- smooth.time(wtsm,tw,dt,scalevector)
-  
-  surrmat <- createwavesurrogates(nsurr,wt,n,dt,s0,noctave,nvoice,w0)
-  
-  surrts <- ts(surrmat,start=t0,deltat=dt)
-  
-  surrts
-  
-}
-
-invmorlet <- function(wt,t0=0,dt=1,s0=1,noctave=5,nvoice=10,w0=2*pi){
-  
-  if ((noctave*nvoice+1)!=dim(wt)[2])
-    cat("# ERROR! nscales unequal noctave*nvoice+1 ! \n")
-  
-  n <- dim(wt)[1]
-  
-  wt[is.na(wt)] <- 0
-  
-  tsRe <- rep(0,n)
-  tsIm <- rep(0,n)
-  
-  wtRe <- t(Re(wt))
-  wtIm <- t(Im(wt))
-  
-  z <- .C("invmorlet",
-          as.double(as.vector(wtRe)),
-          as.double(as.vector(wtIm)),
-          as.integer(n),
-          as.double(dt),
-          as.double(s0),
-          as.integer(noctave),
-          as.integer(nvoice),     
-          as.double(w0),
-          tsRetmp = as.double(tsRe),
-          tsImtmp = as.double(tsIm),
-          PACKAGE="sowas")
-  
-  invvec=complex(real=z$tsRetmp,imaginary=z$tsImtmp)
-  invts <- ts(data=invvec,start=t0,deltat=dt)
-  
-  invts
-  
-}
-
-#################################
-# INPUT / OUTPUT
-#################################
-
-readmatrix <- function(file,M){
-  
-  A <- matrix(scan(file,comment.char="#"),ncol=M,byrow=TRUE)
-  
-  A
-  
-}
-
-
-readts <- function(file){
-  
-  A <- matrix(scan(file,comment.char="#"),ncol=2,byrow=TRUE)
-  
-  Adum <- A
-  
-  Adum[is.na(Adum)] <- 0
-  
-  t <- Adum %*% c(1,0)
-  x <- A %*% c(0,1)
-  
-  N=length(t)
-  f=1/(t[13]-t[1])*12
-  
-  if ((f>11) && (f<13)) f <- 12
-  
-  timeseries<-ts(data=x,start=t[1],frequency=f)
-  
-  timeseries
-  
-}
-
-writematrix <- function(file,data,header="# R Matrix"){
-  
-  write(header,file)
-  write(t(data),file,ncol(data),append=TRUE)
-  
-}
-
-############################
-# HELP FUNCTIONS
-############################
-
-smooth.matrix <- function(wt,swabs){
-  
-  if (swabs != 0)
-    smwt <- t(filter(t(wt),rep(1,2*swabs+1)/(2*swabs+1)))
-  else
-    smwt <- wt
-  
-  smwt
-  
-}
-
-smooth.time <- function(wt,tw,dt,scalevector){
-  
-  smwt <- wt
-  
-  if (tw != 0){
-    for (i in 1:length(scalevector)){
-      
-      twi <- as.integer(scalevector[i]*tw/dt)
-      smwt[,i] <- filter(wt[,i],rep(1,2*twi+1)/(2*twi+1))
-      
-    }
-  }
-  
-  smwt
-  
-}
-
-
-adjust.noctave <- function(N,dt,s0,tw,noctave){
-  
-  if (tw>0){  
-    dumno <- as.integer((log(N*dt)-log(2*tw*s0))/log(2))
-    if (dumno<noctave){
-      cat("# noctave adjusted to time smoothing window \n")
-      noctave <- dumno
-    }
-  }
-  
-  noctave
-  
-}
-
-adjust.s0 <- function(s0,dt){
-  
-  if (s0<2*dt){
-    s0 <- 2*dt
-    cat(paste("# s0 set to ",s0," \n"))
-  }
-  
-  s0
-  
-}
-
-adjust.timeseries <- function(ts1,ts2){
-  
-  if (length(ts1)!=length(ts2)){
-    tsint <- ts.intersect(ts1,ts2)
-    dt <- deltat(ts1)
-    ts1 <- ts(data=tsint[,1],start=time(tsint)[1],frequency=1/dt)
-    ts2 <- ts(data=tsint[,2],start=time(tsint)[1],frequency=1/dt)
-    t <- time(ts1)
-  }
-  
-  list(ts1=ts1,ts2=ts2)
-  
-}
-
-checkarealsiglevel <- function(sw,tw,w0,arealsiglevel,siglevel,type){
-  
-  if (type==0){
-    
-    swv <- c(0,0.5,1)
-    twv <- c(0,1.5,3)
-    w0v <- c(pi,2*pi)
-    
-    if (length(swv[swv==sw])==0 || length(twv[twv==tw])==0 ||
-          length(w0v[w0v==w0])==0){
-      arealsiglevel <- 0
-      cat("# areawise test for spectrum currently \n")
-      cat("# only possible for \n")
-      cat("# sw = 0 \n") 
-      cat("# tw = 0 \n") 
-      cat("# w0 = 2pi \n") 
-      cat("# No areawise test performed \n") 
-    }
-  }
-  
-  if (type==1){
-    
-    swv <- c(0.5)
-    twv <- c(1.5)
-    w0v <- c(2*pi)
-    
-    if (length(swv[swv==sw])==0 || length(twv[twv==tw])==0 ||
-          length(w0v[w0v==w0])==0){
-      arealsiglevel <- 0
-      cat("# areawise test for coherence currently \n")
-      cat("# only possible for \n")
-      cat("# sw = 0.5 \n") 
-      cat("# tw = 1.5 \n") 
-      cat("# w0 = 2pi \n") 
-      cat("# No areawise test performed \n") 
-    }
-  }
-  
-  
-  if (arealsiglevel!=0){
-    arealsiglevel <- 0.9
-    siglevel <- 0.95
-    cat("# currently only siglevel=0.95 and arealsiglevel=0.9 possible for areawise test \n")
-  }
-  
-  list(siglevel=siglevel,arealsiglevel=arealsiglevel)
-  
-}
-
-########################
-
-as.wt <- function(modulus,phase=NULL,s0=NULL,noctave=NULL,nvoice=NULL,w0=NULL,dt=1,time=NULL,scales=NULL,critval=NULL,at=NULL,kernel=NULL,N=NULL,t0=NULL){
-  
-  if (is.null(scales))
-    gotscales <- FALSE
-  else
-    gotscales <- TRUE
-  
-  if ((!gotscales) & (!is.null(s0)) & (!is.null(noctave)) &(!is.null(nvoice))){
-    gotscales <- TRUE
-    scales=2^(0:(noctave*nvoice)/nvoice)*s0
-  }
-  
-  if (gotscales & (is.null(s0) | is.null(noctave) |
-                     is.null(nvoice))){
-    s0 <- scales[1]
-    noctave <- log(scales[length(scales)]/s0)/log(2)
-    nvoice <- (length(scales)-1)/noctave
-  }
-  
-  
-  if (!gotscales)
-    cat("# ERROR! No scales given! \n")
-  
-  if (is.null(time)) gottimes <- FALSE
-  else gottimes <- TRUE
-  
-  if ((!gottimes) & (!is.null(dt)) & (!is.null(t0)) &(!is.null(N))){
-    gottimes <- TRUE
-    time=(0:(N-1))*dt+t0
-  }
-  
-  if (!gottimes)
-    cat("# ERROR! No time vector given! \n")
-  
-  wcolist <- list(modulus=modulus,phase=phase,s0=s0,noctave=noctave,nvoice=nvoice,w0=w0,time=time,scales=scales,critval=critval,at=at,kernel=kernel)
-  
-  class(wcolist) <- "wt"
-  
-  wcolist
-  
-}
-
-########################
-
-wtcolors <- function(ncolors){
-  
-  upside <- rainbow(ncolors,start=0,end=.7)
-  #upside <- heat.colors(ncolors+5)
-  #upside <- upside[1:ncolors]
-  
-  
-  down <- upside
-  
-  for (i in 1:ncolors){
-    down[i] <- upside[ncolors+1-i]    
-  }#
-  
-  down
-  
-}
-
-####################
-
-createwgn <- function(N,sig,dt){
-  
-  timeseries<-ts(data=rnorm(N,0,sig),start=0,deltat=dt)
-  
-  timeseries
-  
-}
-
-
-createar <- function(N,a,sig,dt){
-  
-  if (a==0) a <- 0.000000001
-  
-  se <- sqrt(sig*sig*(1-a*a))
-  tsMC <- ts(data=rep(0,N),start=0,deltat=dt)
-  
-  tsMC[1:N] <- arima.sim(list(ar = a), N, sd = se)
-  
-}
-
-######################
-
-rk <- function(N=1000,s=8,noctave=5,nvoice=10,w0=2*pi,plot=TRUE){
-  
-  t <- 1:N
-  
-  sunit <- s*(w0+sqrt(2+w0*w0))/(4*pi)
-  
-  s0 <- 4
-  #s0unit <- s0*(w0+sqrt(2+w0*w0))/(4*pi)
-  s0unit=s0/dt*w0/(2*pi)                  #(CORRECT) 
-  s0log <- as.integer((log2(s0unit)-1)*nvoice+1.5)
-  
-  totnoct <- noctave+as.integer(s0log/nvoice)+1
-  
-  x <- morlet(N,N/2,sunit,w0)
-  
-  totts.cwt <- Mod(cwt(x,totnoct,nvoice,w0,plot=0))
-  wt=totts.cwt[,s0log:(s0log+noctave*nvoice)]
-  
-  wt <- wt/max(wt)
-  
-  if (plot==TRUE) plotwt(wt,0,t,s0,noctave,w0,units="",plottitle="Reproducing Kernel")  
-  
-  wt
-  
-}
-
-###################
-
-addvalues <- function(nvoice,dnoctave,x,value){
-  
-  nr <- dim(x)[1]
-  nc <- dim(x)[2]
-  dnc <- nvoice*dnoctave
-  
-  y <- matrix(rep(value,nr*(nc+dnc)),nrow=nr)
-  
-  y[,(dnc+1):(dnc+nc)] <- x
-  
-  y
-  
-}
-
-####################
-
-scalematrix <- function(wt){
-  
-  # scales matrix, such that the maximal value is one
-  # wt: matrix to be scaled
-  
-  mval <- max(wt,na.rm=TRUE)
-  
-  wt <- wt/mval
-  
-  wt
-  
-}
-
-
-foldKernel <- function(F,swabs,tw,s,dt){
-  
-  # folds a matrix (e.g. kernel with smoothing window
-  # F:  matrix input
-  # swabs: smooting window width
-  
-  smsF <- smooth.matrix(F,swabs)
-  smsF[is.na(smsF)] <- 0
-  
-  smtsF <- smooth.time(smsF,tw,dt,s)
-  
-  smtsF[is.na(smtsF)] <- 0
-  
-  scF <- scalematrix(smtsF)
-  
-  scF
-  
-}
-
-kernelBitmap <- function(c,s0=1,w0=6,noctave=6,nvoice=20,swabs=0,tw=0,dt=1){
-  # produces kernel bitmap
-  # c:       height of contour, that defines area
-  # s0:      lowest scale
-  # noctave: number of octaves
-  # nvoice:  number of voices per octave
-  # swabs:      smoothing window length in scale direction
-  # dt:      sampling time
-  
-  s <- s0*2^noctave
-  is <- noctave*nvoice
-  
-  x <- s0*2^(((1:(nvoice*(noctave+2)))-1)/nvoice)
-  
-  t <- max(2000,max(x)*tw*2/dt*1.1)
-  
-  y <- ((0:(2*t))-t)/2*dt
-  
-  X <- matrix(x,ncol=nvoice*(noctave+2),nrow=2*t+1,byrow=T)
-  Y <- matrix(y,ncol=nvoice*(noctave+2),nrow=2*t+1)
-  
-  F <- sqrt(2*s*X/(s*s+X*X))*exp(-0.5*(Y*Y+w0*w0*(X-s)*(X-s))/(s*s+X*X))
-  
-  F <- foldKernel(F,swabs,tw,x,dt)
-  
-  F[F<c] <- 0
-  F[F>=c] <- 1
-  
-  is1 <- 1
-  is2 <- nvoice*(noctave+1)
-  it1 <- 1
-  it2 <- 2*t+1
-  
-  L <- F[1:(2*t+1),is1]
-  
-  while (length(L[L!=0])==0) {
-    is1 <- is1+1
-    L <- F[1:(2*t+1),is1]
-  }
-  
-  L <- F[1:(2*t+1),is2]
-  
-  while (length(L[L!=0])==0) {
-    is2 <- is2-1
-    L <- F[1:(2*t+1),is2]
-  }
-  
-  
-  L <- F[it1,1:(nvoice*(noctave+2))]
-  
-  while (length(L[L!=0])==0) {
-    it1 <- it1+1
-    L <- F[it1,1:(nvoice*(noctave+2))]
-  }
-  
-  L <- F[it2,1:(nvoice*(noctave+2))]
-  
-  while (length(L[L!=0])==0) {
-    it2 <- it2-1
-    L <- F[it2,1:(nvoice*(noctave+2))]
-  }
-  
-  kernel <- list(bitmap=F[(it1-1):(it2+1),(is1-1):(is2+1)],is=is-is1) 
-  
-  kernel
-  
-}
-
-kernelRoot <- function(s0=1,w0=6,a=0,noctave=6,nvoice=20,swabs=0,tw=0,dt=1){
-  
-  tol <- 0.005
-  cmin <- 0
-  cmax <- 1
-  cntr <- 0.5
-  da <- a
-  
-  while (abs(da/a)>tol){
-    
-    da <- kernelArea(cntr,s0,w0,a,noctave,nvoice,swabs,tw,dt)
-    if (da>0){
-      cmin <- cntr
-      cntr <- mean(c(cntr,cmax))
-    }
-    if (da<0){
-      cmax <- cntr
-      cntr <- mean(c(cntr,cmin))      
-    }
-  }
-  
-  cntr
-  
-}
-
-kernelArea <- function(cntr,s0=1,w0=6,a=0,noctave=6,nvoice=20,swabs=0,tw=0,dt=1){
-  
-  # calulates area of reproducing kernel for smoothed data at scale s0*2^noctave
-  # cntr:       height of contour line to define kernel area. This
-  #          parameter is to be estimated!
-  # s0:      lowest scale
-  # w0:      parameter of Morlet Wavelet
-  # a:       area offset (only needed, when finding root. Is set to
-  #          desired area 
-  # noctave: number of octaves
-  # nvoice:  number of voices per octave
-  # swabs:      smoothing window width in scale direction
-  # dt:      sampling time
-  
-  s <- s0*2^noctave
-  
-  x <- s0*2^(((1:(nvoice*(noctave+2)))-1)/nvoice)
-  
-  t <- max(2000,max(x)*tw*2/dt*1.1)
-  
-  y <- ((0:(2*t))-t)/2*dt
-  
-  X <- matrix(x,ncol=nvoice*(noctave+2),nrow=2*t+1,byrow=T)
-  Y <- matrix(y,ncol=nvoice*(noctave+2),nrow=2*t+1)
-  
-  F <- sqrt(2*s*X/(s*s+X*X))*exp(-0.5*(Y*Y+w0*w0*(X-s)*(X-s))/(s*s+X*X))
-  
-  F <- foldKernel(F,swabs,tw,x,dt)
-  
-  F[F>=cntr] <- 1
-  F[F<cntr] <- 0
-  
-  area <- length(F[F==1])-a
-  
-  area
-  
-}
-
-
-tobin <- function(x){
-  
-  # sets nonzero values to one
-  
-  y <- x/x
-  y[is.na(y)] <- 0
-  
-  y
-  
-}
-
-scaleKernel <- function(kernel,l){
-  
-  # scales kernel length in time direction proportional to scale
-  # kernel: data bitmap of width n
-  # l:      new width of kernel
-  
-  n <- nrow(kernel)
-  m <- ncol(kernel)
-  
-  newKernel <- matrix(rep(0,m*l),nrow=l)
-  
-  d <- as.double(n)/as.double(l)
-  
-  for (i in 1:l){
-    j <- as.integer((i-0.5)*d)
-    if (j==0) j <- 1
-    newKernel[i,1:m] <- kernel[j,1:m]
-  }
-  
-  newKernel
-  
-}
-
-slope <- function(w0,swabs,tw,nvoice,siglevel,arealsiglevel,type){
-  
-  sw <- swabs/nvoice
-  
-  if (type==0){ # wavelet spectrum
-    
-    if (tw == 0    & sw == 0    & w0 == 1 *pi) slp <-  5.82518          # w = 18.35831 
-    if (tw == 1.5       & sw == 0       & w0 == 1 *pi) slp <-  24.69852         # w = 14.30709 
-    if (tw == 3         & sw == 0       & w0 == 1 *pi) slp <-  35.48368         # w = 14.72354 
-    if (tw == 0         & sw == 5       & w0 == 1 *pi) slp <-  7.347707         # w = 17.96942 
-    if (tw == 1.5       & sw == 5       & w0 == 1 *pi) slp <-  28.24291         # w = 12.65993 
-    if (tw == 3         & sw == 5       & w0 == 1 *pi) slp <-  51.13723         # w = 10.96359 
-    if (tw == 0         & sw == 10      & w0 == 1 *pi) slp <-  10.47856         # w = 15.5941 
-    if (tw == 1.5       & sw == 10      & w0 == 1 *pi) slp <-  45.07387         # w = 15.29793 
-    if (tw == 3         & sw == 10      & w0 == 1 *pi) slp <-  52.82886         # w = 12.72361 
-    
-    if (tw == 0         & sw == 0       & w0 == 2 *pi) slp <-  8.718912         # w = 17.75933 
-    if (tw == 1.5       & sw == 0       & w0 == 2 *pi) slp <-  11.88006         # w = 15.39648 
-    if (tw == 3         & sw == 0       & w0 == 2 *pi) slp <-  26.55977         # w = 1.064384 
-    if (tw == 0         & sw == 5       & w0 == 2 *pi) slp <-  14.64761         # w = 16.27518 
-    if (tw == 1.5       & sw == 5       & w0 == 2 *pi) slp <-  28.27798         # w = 14.57059 
-    if (tw == 3         & sw == 5       & w0 == 2 *pi) slp <-  63.54121         # w = 12.83778 
-    if (tw == 0         & sw == 10      & w0 == 2 *pi) slp <-  27.78735         # w = 11.95813 
-    if (tw == 1.5       & sw == 10      & w0 == 2 *pi) slp <-  41.27260         # w = 12.03379 
-    if (tw == 3         & sw == 10      & w0 == 2 *pi) slp <-  67.37015         # w = 10.63935 
-    
-  }
-  
-  if (type==1){ # wavelet coherence
-    
-    if (tw==0   & sw==0   & w0==pi) slp <- 999 #not valid
-    if (tw==1.5 & sw==0   & w0==pi) slp <- 1
-    if (tw==3   & sw==0   & w0==pi) slp <- 1
-    if (tw==0   & sw==0.5 & w0==pi) slp <- 1
-    if (tw==1.5 & sw==0.5 & w0==pi) slp <- 1
-    if (tw==3   & sw==0.5 & w0==pi) slp <- 1
-    if (tw==0   & sw==1   & w0==pi) slp <- 1
-    if (tw==1.5 & sw==1   & w0==pi) slp <- 1
-    if (tw==3   & sw==1   & w0==pi) slp <- 1
-    
-    if (tw==0   & sw==0   & w0==2*pi) slp <- 999 #not valid
-    if (tw==1.5 & sw==0   & w0==2*pi) slp <- 1
-    if (tw==3   & sw==0   & w0==2*pi) slp <- 1
-    if (tw==0   & sw==0.5 & w0==2*pi) slp <- 1
-    if (tw==1.5 & sw==0.5 & w0==2*pi) slp <- 8.3
-    if (tw==3   & sw==0.5 & w0==2*pi) slp <- 1
-    if (tw==0   & sw==1   & w0==2*pi) slp <- 1
-    if (tw==1.5 & sw==1   & w0==2*pi) slp <- 1
-    if (tw==3   & sw==1   & w0==2*pi) slp <- 1
-    
-    if (tw==0   & sw==0   & w0==3*pi) slp <- 999 #not valid
-    if (tw==1.5 & sw==0   & w0==3*pi) slp <- 1
-    if (tw==3   & sw==0   & w0==3*pi) slp <- 1
-    if (tw==0   & sw==0.5 & w0==3*pi) slp <- 1
-    if (tw==1.5 & sw==0.5 & w0==3*pi) slp <- 1
-    if (tw==3   & sw==0.5 & w0==3*pi) slp <- 1
-    if (tw==0   & sw==1   & w0==3*pi) slp <- 1
-    if (tw==1.5 & sw==1   & w0==3*pi) slp <- 1
-    if (tw==3   & sw==1   & w0==3*pi) slp <- 1
-    
-    if (tw==0   & sw==0   & w0==4*pi) slp <- 999 #not valid
-    if (tw==1.5 & sw==0   & w0==4*pi) slp <- 1
-    if (tw==3   & sw==0   & w0==4*pi) slp <- 1
-    if (tw==0   & sw==0.5 & w0==4*pi) slp <- 1
-    if (tw==1.5 & sw==0.5 & w0==4*pi) slp <- 1
-    if (tw==3   & sw==0.5 & w0==4*pi) slp <- 1
-    if (tw==0   & sw==1   & w0==4*pi) slp <- 1
-    if (tw==1.5 & sw==1   & w0==4*pi) slp <- 1
-    if (tw==3   & sw==1   & w0==4*pi) slp <- 1
-    
-  }
-  
-  cat(paste("# slope ",slp,"\n",sep=""))
-  
-  slp
-  
-}

diff --git a/old_C_code/stage2_UNFINISHED/test/.gitkeep b/old_C_code/stage2_UNFINISHED/test/.gitkeep
deleted file mode 100644 (file)
index e69de29..0000000

diff --git a/old_C_code/wrapper.R b/old_C_code/wrapper.R
deleted file mode 100644 (file)
index d6d05e1..0000000
--- a/old_C_code/wrapper.R
+++ /dev/null
@@ -1,74 +0,0 @@
-#Exemple :
-#
-#dans old_C_code/build :
-#cmake ../stage1/src
-#make
-#
-#dans data/, lancer R puis :
-#source("../old_C_code/wrapper.R")
-#serialize("../old_C_code/build", "2009.csv","2009.bin",1)
-#library(parallel)
-#np = detectCores()
-#nbSeriesPerChunk = 3000
-#nbClusters = 20
-#ppam_exe("../old_C_code/build",np,"2009.bin",nbSeriesPerChunk,nbClusters)
-#C = getMedoids("../old_C_code/build", "ppamResult.xml", "ppamFinalSeries.bin")
-#first100series = deserialize("../old_C_code/build", "2009.bin", "2009.csv.part", "1-100")
-#distor = getDistor("../old_C_code/build", "ppamResult.xml", "2009.bin")
-
-ppam_exe = function(path=".", np=parallel::detectCores(), data=NULL,
-       nbSeriesPerChunk, nbClusters, randomize=1, p_dissims=2)
-{
-       args = paste(nbSeriesPerChunk," ",nbClusters," ",randomize," ",p_dissims,sep="")
-
-       command_line = paste("mpirun -np ",np," ",path,"/ppam.exe cluster",sep="")
-
-       #if data provided (as data.frame or matrix...): binarize it, and add it as first argument
-       if (!is.null(data))
-       {
-               if (!is.character(data))
-               {
-                       #assuming matrix or data.frame, WITH row names
-                       #( identifiers; could be line number... e.g. data <- cbind(1:nrow(data),data) )
-                       write.table(data, "/tmp/data_csv", sep=",", row.names=FALSE, col.names=FALSE)
-                       system(paste(path,"/ppam.exe serialize /tmp/data_csv /tmp/data_bin 0 0",sep=""))
-               } else
-               {
-                       system(paste(path,"/ppam.exe serialize ",data," /tmp/data_bin 0 0",sep=""))
-               }
-               command_line = paste(command_line," /tmp/data_bin",sep="")
-       }
-
-       command_line = paste(command_line," ",args,sep="")
-       system(command_line)
-}
-
-#NOTE: identifiers in first column
-getMedoids = function(path=".", xmlResult = "ppamResult.xml",
-       finalSeries = "ppamFinalSeries.bin")
-{
-       system(paste(path,"/ppam.exe deserialize ",finalSeries," ppamFinalSeries.csv -1",sep=""))
-       curves = read.table("ppamFinalSeries.csv", sep=",")
-       library(XML)
-       ranks = as.integer( xmlToList( xmlParse(xmlResult) )$ranks )
-       return ( curves[ranks,] ) # == medoids
-}
-
-getDistor = function(path=".", xmlResult = "ppamResult.xml",
-       finalSeries = "ppamFinalSeries.bin")
-{
-       system(paste(path,"/ppam.exe classif ",finalSeries," ",xmlResult,sep=""))
-}
-
-serialize = function(path=".", csvSeries, binSeries, byCols=0, nbSeries=0)
-{
-       system(paste(path,"/ppam.exe serialize ",csvSeries," ",binSeries," ",byCols," ",nbSeries,
-               sep=""))
-}
-
-deserialize = function(path=".", binSeries, csvSeries, ranks="-1", return=TRUE)
-{
-       system(paste(path,"/ppam.exe deserialize ",binSeries," ",csvSeries," ",ranks,sep=""))
-       if (return)
-               return ( read.table(csvSeries, sep=",") )
-}

diff --git a/reports/2017-05/TODO b/reports/2017-03/TODO
similarity index 100%
rename from reports/2017-05/TODO
rename to reports/2017-03/TODO