Merge pull request #3 from medios-porosos-fiuba/milestone_4
Milestone 4 - Part 1milestone_5_without_improvements
commit
96db89d10c
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[General]
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simDir=tests/performance/tmp_gen_output
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startJob=0
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[Iterables]
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p=[10,39,10]
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seeds=[5462,2]
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lc=[4]
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connectivity=[1]
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variances=[1]
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[Generation]
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Nx = 64
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Ny = 64
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Nz = 64
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variogram_type=1
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binary = yes
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kh = 100
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kl = 0.01
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compute_lc = no
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lcBin=no
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genera=no
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[Connectivity]
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keep_aspect= yes
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block_size = 4
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indicators_MinBlockSize =4
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Max_sample_size = 12
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compGconec= 1
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conec=yes
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[Solver]
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num_of_cores = 1
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ref = 2
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solve = no
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rtol = 1e-4
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[K-Postprocess]
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MinBlockSize =1
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Max_sample_size = 4
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kperm=no
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postprocess=no
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SaveVfield=no
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[General]
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simDir=tests/performance/tmp_gen_output
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startJob=0
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[Iterables]
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p=[10,39,10]
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seeds=[5462,2]
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lc=[4]
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connectivity=[1]
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variances=[1]
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[Generation]
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Nx = 128
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Ny = 128
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Nz = 128
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variogram_type=1
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binary = yes
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kh = 100
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kl = 0.01
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compute_lc = yes
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lcBin=yes
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genera=yes
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[Connectivity]
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keep_aspect= no
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block_size = 4
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indicators_MinBlockSize =4
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Max_sample_size = 12
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compGconec= 1
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conec=no
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[Solver]
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num_of_cores = 1
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ref = 2
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solve = no
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rtol = 1e-4
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[K-Postprocess]
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MinBlockSize =1
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Max_sample_size = 4
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kperm=no
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postprocess=no
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SaveVfield=no
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[General]
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simDir=tests/performance/tmp_gen_output
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startJob=0
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[Iterables]
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p=[10,39,10]
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seeds=[5462,2]
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lc=[4]
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connectivity=[1]
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variances=[1]
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[Generation]
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Nx = 256
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Ny = 256
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Nz = 256
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variogram_type=1
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binary = yes
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kh = 100
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kl = 0.01
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compute_lc = yes
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lcBin=yes
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genera=yes
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[Connectivity]
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keep_aspect= no
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block_size = 4
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indicators_MinBlockSize =4
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Max_sample_size = 12
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compGconec= 1
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conec=no
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[Solver]
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num_of_cores = 1
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ref = 2
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solve = no
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rtol = 1e-4
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[K-Postprocess]
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MinBlockSize =1
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Max_sample_size = 4
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kperm=no
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postprocess=no
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SaveVfield=no
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[General]
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simDir=tests/performance/tmp_gen_output
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startJob=0
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[Iterables]
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p=[10,39,10]
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seeds=[5462,2]
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lc=[4]
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connectivity=[1]
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variances=[1]
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[Generation]
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Nx = 512
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Ny = 512
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Nz = 512
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variogram_type=1
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binary = yes
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kh = 100
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kl = 0.01
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compute_lc = yes
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lcBin=yes
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genera=yes
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[Connectivity]
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keep_aspect= no
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block_size = 4
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indicators_MinBlockSize =4
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Max_sample_size = 12
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compGconec= 1
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conec=no
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[Solver]
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num_of_cores = 1
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ref = 2
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solve = no
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rtol = 1e-4
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[K-Postprocess]
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MinBlockSize =1
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Max_sample_size = 4
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kperm=no
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postprocess=no
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SaveVfield=no
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[General]
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simDir=tests/performance/tmp_gen_output
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startJob=0
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[Iterables]
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p=[10,39,10]
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seeds=[5462,2]
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lc=[4]
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connectivity=[1]
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variances=[1]
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[Generation]
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Nx = 64
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Ny = 64
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Nz = 64
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variogram_type=1
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binary = yes
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kh = 100
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kl = 0.01
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compute_lc = yes
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lcBin=yes
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genera=yes
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[Connectivity]
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keep_aspect= no
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block_size = 4
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indicators_MinBlockSize =4
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Max_sample_size = 12
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compGconec= 1
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conec=no
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[Solver]
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num_of_cores = 1
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ref = 2
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solve = no
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rtol = 1e-4
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[K-Postprocess]
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MinBlockSize =1
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Max_sample_size = 4
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kperm=no
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postprocess=no
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SaveVfield=no
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import os
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from benchmarker import Benchmarker
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os.chdir('../..')
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config_gen_file_64 = os.path.abspath("./tests/performance/conf_gen_64.ini")
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config_conn_file_64 = os.path.abspath("./tests/performance/conf_conn_64.ini")
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GEN_CONFIG_FILES = [config_gen_file_64]
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CONN_CONFIG_FILES = [config_conn_file_64]
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index_1 = 0
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index_8 = 0
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'''
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Esta etapa tarda mucho tiempo y no es muy independiente de la generación de medios.
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Si se generan medios con los parámetros dados:
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[Iterables]
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p=[10,39,15]
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seeds=[5462,2]
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lc=[4]
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connectivity=[1,2,3]
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variances=[1]
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Se generan 90 medios: 15 (p[2]) * 2 (seeds[1]) * 3 (len(connectivity)) * 1 (len(lc))
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Pero si se toman esos medios generados y se aplica solo la etapa de conectividad
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Se calcula la conectividad sobre 6 medios: 2 (seeds[1]) * 3 (len(connectivity)) * 1 (len(variances))* 1 (len(lc))
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Solucion: marcar en la etapa de generacion binary = yes -> esta bien esto?
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'''
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with Benchmarker() as bench:
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for i in range(len(CONN_CONFIG_FILES)):
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size = 2**(6+i)
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@bench(f"Connectivity 1 core with size {size}")
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def _(bm):
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global index_1
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os.system(f"CONFIG_FILE_PATH={GEN_CONFIG_FILES[index_1]} TEST=True mpirun -oversubscribe -np 1 python3 mpirunner.py")
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with bm:
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os.system(f"CONFIG_FILE_PATH={CONN_CONFIG_FILES[index_1]} TEST=True mpirun -oversubscribe -np 1 python3 mpirunner.py")
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## teardown
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os.system("rm -rf ./tests/performance/tmp_gen_output")
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index_1 +=1
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@bench(f"Connectivity 8 core with size {size}")
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def _(bm):
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global index_8
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os.system(f"CONFIG_FILE_PATH={GEN_CONFIG_FILES[index_8]} TEST=True mpirun -oversubscribe -np 8 python3 mpirunner.py")
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with bm:
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os.system(f"CONFIG_FILE_PATH={CONN_CONFIG_FILES[index_8]} TEST=True mpirun -oversubscribe -np 8 python3 mpirunner.py")
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## teardown
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os.system("rm -rf ./tests/performance/tmp_gen_output")
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index_8 +=1
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import os
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from benchmarker import Benchmarker
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os.chdir('../..')
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config_file_64 = os.path.abspath("./tests/performance/conf_gen_64.ini")
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config_file_128 = os.path.abspath("./tests/performance/conf_gen_128.ini")
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config_file_256 = os.path.abspath("./tests/performance/conf_gen_256.ini")
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CONFIG_FILES = [config_file_64, config_file_128, config_file_256]
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index_1 = 0
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index_8 = 0
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with Benchmarker() as bench:
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for i in range(len(CONFIG_FILES)):
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size = 2**(6+i)
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@bench(f"generation 1 core {size} tamaño")
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def _(bm):
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global index_1
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config_file = CONFIG_FILES[index_1]
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with bm:
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os.system(f"CONFIG_FILE_PATH={config_file} TEST=True mpirun -oversubscribe -np 1 python3 mpirunner.py")
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## teardown
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os.system("rm -rf ./tests/performance/tmp_gen_output")
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index_1 +=1
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@bench(f"generation 8 core {size} tamaño")
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def _(bm):
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global index_8
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config_file = CONFIG_FILES[index_8]
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with bm:
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os.system(f"CONFIG_FILE_PATH={config_file} TEST=True mpirun -oversubscribe -np 8 python3 mpirunner.py")
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## teardown
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os.system("rm -rf ./tests/performance/tmp_gen_output")
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index_8 +=1
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def conditional_decorator(dec, condition):
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def decorator(func):
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if not condition:
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# Return the function unchanged, not decorated.
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return func
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return dec(func)
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return decorator
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