consolidate binary() member functions of Comm and Balance into utils::binary_search()
This commit is contained in:
@ -1029,12 +1029,12 @@ void Balance::tally(int dim, int n, double *split)
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if (wtflag) {
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weight = fixstore->vstore;
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for (int i = 0; i < nlocal; i++) {
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index = binary(x[i][dim],n,split);
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index = utils::binary_search(x[i][dim],n,split);
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onecost[index] += weight[i];
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}
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} else {
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for (int i = 0; i < nlocal; i++) {
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index = binary(x[i][dim],n,split);
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index = utils::binary_search(x[i][dim],n,split);
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onecost[index] += 1.0;
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}
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}
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@ -1131,16 +1131,16 @@ double Balance::imbalance_splits()
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if (wtflag) {
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weight = fixstore->vstore;
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for (int i = 0; i < nlocal; i++) {
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ix = binary(x[i][0],nx,xsplit);
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iy = binary(x[i][1],ny,ysplit);
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iz = binary(x[i][2],nz,zsplit);
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ix = utils::binary_search(x[i][0],nx,xsplit);
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iy = utils::binary_search(x[i][1],ny,ysplit);
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iz = utils::binary_search(x[i][2],nz,zsplit);
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proccost[iz*nx*ny + iy*nx + ix] += weight[i];
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}
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} else {
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for (int i = 0; i < nlocal; i++) {
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ix = binary(x[i][0],nx,xsplit);
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iy = binary(x[i][1],ny,ysplit);
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iz = binary(x[i][2],nz,zsplit);
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ix = utils::binary_search(x[i][0],nx,xsplit);
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iy = utils::binary_search(x[i][1],ny,ysplit);
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iz = utils::binary_search(x[i][2],nz,zsplit);
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proccost[iz*nx*ny + iy*nx + ix] += 1.0;
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}
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}
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@ -1161,40 +1161,6 @@ double Balance::imbalance_splits()
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return imbalance;
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}
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/* ----------------------------------------------------------------------
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binary search for where value falls in N-length vec
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note that vec actually has N+1 values, but ignore last one
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values in vec are monotonically increasing, but adjacent values can be ties
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value may be outside range of vec limits
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always return index from 0 to N-1 inclusive
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return 0 if value < vec[0]
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reutrn N-1 if value >= vec[N-1]
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return index = 1 to N-2 inclusive if vec[index] <= value < vec[index+1]
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note that for adjacent tie values, index of lower tie is not returned
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since never satisfies 2nd condition that value < vec[index+1]
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------------------------------------------------------------------------- */
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int Balance::binary(double value, int n, double *vec)
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{
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int lo = 0;
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int hi = n-1;
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if (value < vec[lo]) return lo;
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if (value >= vec[hi]) return hi;
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// insure vec[lo] <= value < vec[hi] at every iteration
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// done when lo,hi are adjacent
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int index = (lo+hi)/2;
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while (lo < hi-1) {
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if (value < vec[index]) hi = index;
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else if (value >= vec[index]) lo = index;
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index = (lo+hi)/2;
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}
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return index;
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}
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/* ----------------------------------------------------------------------
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write dump snapshot of line segments in Pizza.py mdump mesh format
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write xy lines around each proc's sub-domain for 2d
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@ -84,7 +84,6 @@ class Balance : public Command {
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void shift_setup_static(char *);
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void tally(int, int, double *);
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int adjust(int, double *);
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int binary(double, int, double *);
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#ifdef BALANCE_DEBUG
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void debug_shift_output(int, int, int, double *);
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#endif
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42
src/comm.cpp
42
src/comm.cpp
@ -782,13 +782,13 @@ int Comm::coord2proc(double *x, int &igx, int &igy, int &igz)
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} else if (layout == Comm::LAYOUT_NONUNIFORM) {
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if (triclinic == 0) {
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igx = binary((x[0]-boxlo[0])/prd[0],procgrid[0],xsplit);
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igy = binary((x[1]-boxlo[1])/prd[1],procgrid[1],ysplit);
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igz = binary((x[2]-boxlo[2])/prd[2],procgrid[2],zsplit);
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igx = utils::binary_search((x[0]-boxlo[0])/prd[0],procgrid[0],xsplit);
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igy = utils::binary_search((x[1]-boxlo[1])/prd[1],procgrid[1],ysplit);
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igz = utils::binary_search((x[2]-boxlo[2])/prd[2],procgrid[2],zsplit);
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} else {
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igx = binary(x[0],procgrid[0],xsplit);
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igy = binary(x[1],procgrid[1],ysplit);
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igz = binary(x[2],procgrid[2],zsplit);
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igx = utils::binary_search(x[0],procgrid[0],xsplit);
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igy = utils::binary_search(x[1],procgrid[1],ysplit);
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igz = utils::binary_search(x[2],procgrid[2],zsplit);
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}
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}
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@ -802,36 +802,6 @@ int Comm::coord2proc(double *x, int &igx, int &igy, int &igz)
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return grid2proc[igx][igy][igz];
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}
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/* ----------------------------------------------------------------------
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binary search for value in N-length ascending vec
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value may be outside range of vec limits
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always return index from 0 to N-1 inclusive
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return 0 if value < vec[0]
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reutrn N-1 if value >= vec[N-1]
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return index = 1 to N-2 if vec[index] <= value < vec[index+1]
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------------------------------------------------------------------------- */
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int Comm::binary(double value, int n, double *vec)
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{
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int lo = 0;
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int hi = n-1;
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if (value < vec[lo]) return lo;
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if (value >= vec[hi]) return hi;
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// insure vec[lo] <= value < vec[hi] at every iteration
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// done when lo,hi are adjacent
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int index = (lo+hi)/2;
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while (lo < hi-1) {
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if (value < vec[index]) hi = index;
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else if (value >= vec[index]) lo = index;
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index = (lo+hi)/2;
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}
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return index;
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}
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/* ----------------------------------------------------------------------
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partition a global regular grid into one brick-shaped sub-grid per proc
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if grid point is inside my sub-domain I own it,
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@ -98,7 +98,6 @@ class Comm : protected Pointers {
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virtual void forward_comm_array(int, double **) = 0;
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virtual int exchange_variable(int, double *, double *&) = 0;
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int binary(double, int, double *);
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// map a point to a processor, based on current decomposition
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@ -1284,6 +1284,28 @@ int utils::date2num(const std::string &date)
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return num;
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}
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/* binary search in vector of ascending doubles */
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int utils::binary_search(const double needle, const int n, const double *haystack)
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{
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int lo = 0;
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int hi = n-1;
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if (needle < haystack[lo]) return lo;
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if (needle >= haystack[hi]) return hi;
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// insure haystack[lo] <= needle < haystack[hi] at every iteration
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// done when lo,hi are adjacent
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int index = (lo+hi)/2;
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while (lo < hi-1) {
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if (needle < haystack[index]) hi = index;
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else if (needle >= haystack[index]) lo = index;
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index = (lo+hi)/2;
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}
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return index;
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}
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/* ----------------------------------------------------------------------
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* Merge sort part 1: Loop over sublists doubling in size with each iteration.
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* Pre-sort small sublists with insertion sort for better overall performance.
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17
src/utils.h
17
src/utils.h
@ -541,6 +541,23 @@ namespace utils {
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int date2num(const std::string &date);
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/*! Binary search in a vector of ascending doubles of length N
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*
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* If the value is smaller than the smallest value in the vector, 0 is returned.
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* If the value is larger or equal than the largest value in the vector, N-1 is returned.
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* Otherwise the index that satisfies the condition
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*
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* haystack[index] <= value < haystack[index+1]
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*
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* is returned, i.e. a value from 1 to N-2. Note that if there are tied values in the
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* haystack, always the larger index is returned as only that satisfied the condition.
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*
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* \param needle search value for which are are looking for the closest index
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* \param n size of the haystack array
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* \param haystack array with data in ascending order.
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* \return index of value in the haystack array smaller or equal to needle */
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int binary_search(const double needle, const int n, const double *haystack);
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/*! Custom merge sort implementation
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*
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* This function provides a custom upward hybrid merge sort
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@ -875,6 +875,24 @@ TEST(Utils, date2num)
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ASSERT_EQ(utils::date2num("31December100"), 1001231);
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}
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TEST(Utils, binary_search)
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{
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double data[] = {-2.0, -1.8, -1.0, -1.0, -1.0, -0.5, -0.2, 0.0, 0.1, 0.1,
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0.2, 0.3, 0.5, 0.5, 0.6, 0.7, 1.0, 1.2, 1.5, 2.0};
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const int n = sizeof(data) / sizeof(double);
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ASSERT_EQ(utils::binary_search(-5.0, n, data), 0);
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ASSERT_EQ(utils::binary_search(-2.0, n, data), 0);
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ASSERT_EQ(utils::binary_search(-1.9, n, data), 0);
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ASSERT_EQ(utils::binary_search(-1.0, n, data), 4);
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ASSERT_EQ(utils::binary_search(0.0, n, data), 7);
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ASSERT_EQ(utils::binary_search(0.1, n, data), 9);
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ASSERT_EQ(utils::binary_search(0.4, n, data), 11);
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ASSERT_EQ(utils::binary_search(1.1, n, data), 16);
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ASSERT_EQ(utils::binary_search(1.5, n, data), 18);
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ASSERT_EQ(utils::binary_search(2.0, n, data), 19);
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ASSERT_EQ(utils::binary_search(2.5, n, data), 19);
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}
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static int compare(int a, int b, void *)
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{
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if (a < b)
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