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import math

import numpy as np

import os

from itertools import cycle

import brewer2mpl

import matplotlib.pyplot as plt

from matplotlib import gridspec

import pdb

from mpl_settings import set_plot_params

fwid = 20

fhgt = 7

dpi = 300

set_plot_params(useTex=True, fontsize=26)

nProgs = 11

bmap = brewer2mpl.get_map('Pastel1', 'Qualitative', min(nProgs, 6))

hexColors = [bmap.hex_colors[2], bmap.hex_colors[0], bmap.hex_colors[5], bmap.hex_colors[3],

bmap.hex_colors[4], bmap.hex_colors[1]]

pythonDir = os.environ['PWD']

resultsDir = os.path.join(pythonDir, '..', 'paper', 'results')

arch = 'bdw'

sfCompOBLKIO_VEC = 'sfComp_' + arch + '_OBLKIO_VEC'

sfCompOBLKIO_OPT = 'sfComp_' + arch + '_OBLKIO_OPT'

luDecompKIJ_VEC = 'luDecomp_' + arch + '_KIJ_VEC'

luDecompKIJ_OPT = 'luDecomp_' + arch + '_KIJ_OPT'

jacobiSolveSOLVE_VEC = 'jacobiSolve_' + arch + '_SOLVE_VEC'

jacobiSolveSOLVE_OPT = 'jacobiSolve_' + arch + '_SOLVE_OPT'

tmvCompile = 'tmv_COMPILE'

sfCompOBLKIO_VECPath = os.path.join(resultsDir, sfCompOBLKIO_VEC)

sfCompOBLKIO_OPTPath = os.path.join(resultsDir, sfCompOBLKIO_OPT)

luDecompKIJ_VECPath = os.path.join(resultsDir, luDecompKIJ_VEC)

luDecompKIJ_OPTPath = os.path.join(resultsDir, luDecompKIJ_OPT)

jacobiSolveSOLVE_VECPath = os.path.join(resultsDir, jacobiSolveSOLVE_VEC)

jacobiSolveSOLVE_OPTPath = os.path.join(resultsDir, jacobiSolveSOLVE_OPT)

tmvCompilePath = os.path.join(resultsDir, 'tmv_COMPILE')

vecResultNames = [luDecompKIJ_VEC, jacobiSolveSOLVE_VEC, sfCompOBLKIO_VEC]

vecResultPaths = [luDecompKIJ_VECPath, jacobiSolveSOLVE_VECPath, sfCompOBLKIO_VECPath]

optResultNames = [luDecompKIJ_OPT, jacobiSolveSOLVE_OPT, sfCompOBLKIO_OPT]

optResultPaths = [luDecompKIJ_OPTPath, jacobiSolveSOLVE_OPTPath, sfCompOBLKIO_OPTPath]

timeResultNames = [tmvCompile]

timeResultPath = [tmvCompilePath]

compilerList = ['PGC++', 'Clang', 'AOCC', 'Zapcc', 'G++', 'Intel C++']

hatchPatterns = ['+', '\\', '-', 'x', '|', '/']

hatchCycler = cycle(hatchPatterns)

lineStyles = ['solid', 'dashed', 'dashdot', 'dotted', '-', '--', '-.', ':', 'None', ' ', '']

lineCycler = cycle(lineStyles)

def vecBarPlot(resultArray):

fig = plt.figure(1, figsize=(fwid, fhgt))

numRows = 1000

numCols = numRows

gs = gridspec.GridSpec(numRows, numCols)

ax1 = fig.add_subplot(gs[:, :])

barWidth = 0.05

ax1.axhline(1.0, color='#989898', linewidth=1, linestyle='--', alpha = 25, zorder=0)

for res in range(resultArray.shape[0]):

for c, compiler in enumerate(compilerList):

speedUp = resultArray[res, c, 1]/resultArray[res, 4, 1]

if res == 0:

ax1.bar(9*res*barWidth + (c - 3)*barWidth, speedUp,

barWidth, align='edge', color=hexColors[c], hatch=hatchPatterns[c],

edgecolor='#000000', linewidth=1.0, ls='solid', label=compiler, zorder=5)

else:

ax1.bar(9*res*barWidth + (c - 3)*barWidth, speedUp,

barWidth, align='edge', color=hexColors[c], hatch=hatchPatterns[c],

edgecolor='#000000', linewidth=1.0, ls='solid', zorder=5)

ax1.text(9*res*barWidth + (c - 3)*barWidth + barWidth/2, speedUp + 0.01, r'$%3.2f$'%(speedUp),

ha='center', va='bottom', fontsize=20)

ax1.set_xticks([0.0, 9.0*barWidth, 18.0*barWidth])

ax1.set_xticklabels([r'LU Decomposition', r'Jacobi Solver', r'SF Computation'])

ax1.set_ylabel(r'Relative Performance (G++ $ = 1$)')

plt.legend(bbox_to_anchor=(0.025, 0.85, 0.95, .102), loc=3, ncol=6, mode="expand", borderaxespad=0.)

plt.ylim(ymax=2.0)

fig.savefig(os.path.join(resultsDir, arch + '_VEC.pdf'))

fig.savefig(os.path.join(resultsDir, arch + '_VEC.jpg'))

fig.clf()

def optBarPlot(resultArray):

fig = plt.figure(2, figsize=(fwid, fhgt))

numRows = 1000

numCols = numRows

gs = gridspec.GridSpec(numRows, numCols)

ax1 = fig.add_subplot(gs[:, :])

barWidth = 0.05

ax1.axhline(1.0, color='#989898', linewidth=1, linestyle='--', alpha = 25, zorder=0)

for res in range(resultArray.shape[0]):

for c, compiler in enumerate(compilerList):

speedUp = resultArray[res, c, 1]/resultArray[res, 4, 1]

if res == 0:

ax1.bar(9*res*barWidth + (c - 3)*barWidth, speedUp,

barWidth, align='edge', color=hexColors[c], hatch=hatchPatterns[c],

edgecolor='#000000', linewidth=1.0, ls='solid', label=compiler)

ax1.text(9*res*barWidth + (c - 3)*barWidth + barWidth/2, speedUp + 0.01, r'$%3.2f$'%(speedUp),

ha='center', va='bottom', fontsize=20)

else:

if res == 2 and c == 0:

ax1.bar(9*res*barWidth + (c - 3)*barWidth, np.nan,

barWidth, align='edge', color=hexColors[c], hatch=hatchPatterns[c],

edgecolor='#000000', linewidth=1.0, ls='solid')

else:

ax1.bar(9*res*barWidth + (c - 3)*barWidth, speedUp,

barWidth, align='edge', color=hexColors[c], hatch=hatchPatterns[c],

edgecolor='#000000', linewidth=1.0, ls='solid')

ax1.text(9*res*barWidth + (c - 3)*barWidth + barWidth/2, speedUp + 0.01, r'$%3.2f$'%(speedUp),

ha='center', va='bottom', fontsize=20)

ax1.set_xticks([0.0, 9.0*barWidth, 18.0*barWidth])

ax1.set_xticklabels([r'LU Decomposition', r'Jacobi Solver', r'SF Computation'])

ax1.set_ylabel(r'Relative Performance (G++ $ = 1$)')

plt.legend(bbox_to_anchor=(0.025, 0.85, 0.95, .102), loc=3, ncol=6, mode="expand", borderaxespad=0.)

plt.ylim(ymax=2.25)

fig.savefig(os.path.join(resultsDir, arch + '_OPT.pdf'))

fig.savefig(os.path.join(resultsDir, arch + '_OPT.jpg'))

fig.clf()

def timeBarPlot(resultArray):

fig = plt.figure(3, figsize=(fwid/2.1, fwid/2.1))

numRows = 1000

numCols = numRows

gs = gridspec.GridSpec(numRows, numCols)

ax1 = fig.add_subplot(gs[:, :])

barWidth = 0.05

ax1.axhline(1.0, color='#989898', linewidth=1, linestyle='--', alpha = 25, zorder=0)

for res in range(resultArray.shape[0]):

for c, compiler in enumerate(compilerList):

speedUp = resultArray[res, 4, 1]/resultArray[res, c, 1]

ax1.bar(9*res*barWidth + (c - 3)*barWidth, speedUp,

barWidth, align='edge', color=hexColors[c], hatch=hatchPatterns[c],

edgecolor='#000000', linewidth=1.0, ls='solid', label=compiler)

ax1.text(9*res*barWidth + (c - 3)*barWidth + barWidth/2, speedUp + 0.01, r'$%3.2f$'%(speedUp),

ha='center', va='bottom', fontsize=20)

ax1.set_xticks([0.0])

ax1.set_xticklabels([r'tmv Compile'])

ax1.set_ylabel(r'Relative Compile Speed (G++ $ = 1$)')

plt.legend(bbox_to_anchor=(0.025, 0.825, 0.95, .102), loc=3, ncol=3, mode="expand", borderaxespad=0.)

plt.ylim(ymax=2.25)

fig.savefig(os.path.join(resultsDir, 'TIME.pdf'))

fig.savefig(os.path.join(resultsDir, 'TIME.jpg'))

fig.clf()

resultArray = np.zeros((3, len(compilerList), 5))

for res, resultPath in enumerate(vecResultPaths):

with open(resultPath + '.dat', 'rb') as resultFile:

resultLines = resultFile.readlines()

for compiler, resultLine in enumerate(resultLines):

resultWords = resultLine.rstrip('\n').split()

resultArray[res, compiler, 0] = int(resultWords[1])

resultArray[res, compiler, 1] = float(resultWords[2])

resultArray[res, compiler, 2] = float(resultWords[3])

resultArray[res, compiler, 3] = int(resultWords[4])

resultArray[res, compiler, 4] = float(resultWords[5])

vecBarPlot(resultArray)

for res, resultPath in enumerate(optResultPaths):

with open(resultPath + '.dat', 'rb') as resultFile:

resultLines = resultFile.readlines()

for compiler, resultLine in enumerate(resultLines):

resultWords = resultLine.rstrip('\n').split()

resultArray[res, compiler, 0] = int(resultWords[1])

resultArray[res, compiler, 1] = float(resultWords[2])

resultArray[res, compiler, 2] = float(resultWords[3])

resultArray[res, compiler, 3] = int(resultWords[4])

resultArray[res, compiler, 4] = float(resultWords[5])

optBarPlot(resultArray)

resultArray = np.zeros((1, len(compilerList), 5))

for res, resultPath in enumerate(timeResultPath):

with open(resultPath + '.dat', 'rb') as resultFile:

resultLines = resultFile.readlines()

for compiler, resultLine in enumerate(resultLines):

resultWords = resultLine.rstrip('\n').split()

resultArray[res, compiler, 0] = int(resultWords[1])

resultArray[res, compiler, 1] = float(resultWords[2])

resultArray[res, compiler, 2] = float(resultWords[3])

resultArray[res, compiler, 3] = int(resultWords[4])

resultArray[res, compiler, 4] = float(resultWords[5])

timeBarPlot(resultArray)