def get_gpu_list() -> List[gpu.GPU]:
"""Get list of GPU detected by the system (lspci)"""
data = execute_command('lspci').lower()
reg = re.compile(r'(vga|display|hdmi|3d)')
gpu_list = []
for device in data.split('\n'):
if reg.search(device):
de = re.search(r'([^ ]*).*:\s*([^ ]*)', device)
if de:
has_screen = re.search(r'(vga|display|hdmi)', device)
pci_id = de.group(1).replace('.', ':')
brand = de.group(2)
# Fix (Alternative name for AMD Cards)
if brand == 'advanced':
brand = 'amd'
gpu_list.append(gpu.GPU(pci_id, bool(has_screen), brand))
return gpu_list
def create_all_dict(self):
data1 = cpu.CPU()
cpu_dict = data1.clean_dict(
) # instantiate cpu class, creates cpu dict
data2 = gpu.GPU()
gpu_dict = data2.clean_dict(
) # instantiate gpu class, creates gpu dict
data3 = ram.RAM()
ram_dict = data3.clean_dict(
) # instantiate ram class, creates ram dict
year1 = 1960
value_list = []
while year1 < 2021:
if str(year1) in ram_dict.keys():
if str(year1) in gpu_dict.keys():
if str(year1) in cpu_dict.keys(
): # checks to see if year1 value is a key in all three dictionaries (cpu, gpu, and ram)
ram_value = ram_dict[str(
year1
)] # sets variable equal to value of dictionary key
gpu_value = gpu_dict[str(year1)]
cpu_value = cpu_dict[str(year1)]
value_list.append(ram_value) # appends value to list
value_list.append(gpu_value)
value_list.append(cpu_value)
for x in value_list: # iterate through list of values
x = (map(float, x))
valueSum = (sum(x) / 3)
self.all_dict[year1] = round(valueSum, 2)
year1 += 1
# Tratando entrada de parâmetro
parser = argparse.ArgumentParser(add_help=False) # parser para linha de comando
parser.add_argument("-i", "--input", help="arquivo X3D de entrada")
parser.add_argument("-o", "--output", help="arquivo 2D de saída (imagem)")
parser.add_argument("-w", "--width", help="resolução horizonta", type=int)
parser.add_argument("-h", "--height", help="resolução vertical", type=int)
parser.add_argument("-q", "--quiet", help="não exibe janela de visualização", action='store_true')
args = parser.parse_args() # parse the arguments
if args.input: x3d_file = args.input
if args.output: image_file = args.output
if args.width: width = args.width
if args.height: height = args.height
# Iniciando simulação de GPU
gpu.GPU(width, height, image_file)
#print(gpu.GPU.load_texture(image_file))
# Abre arquivo X3D
scene = x3d.X3D(x3d_file)
scene.set_resolution(width, height)
# funções que irão fazer o rendering
x3d.X3D.render["Polypoint2D"] = polypoint2D
x3d.X3D.render["Polyline2D"] = polyline2D
x3d.X3D.render["TriangleSet2D"] = triangleSet2D
x3d.X3D.render["TriangleSet"] = triangleSet
x3d.X3D.render["Viewpoint"] = viewpoint
x3d.X3D.render["Transform"] = transform
x3d.X3D.render["_Transform"] = _transform
x3d.X3D.render["TriangleStripSet"] = triangleStripSet
def main():
exitFalse = True
while exitFalse:
userInput = int(
input('''
Please select an option below:
1) CPU Data
2) GPU DATA
3) RAM Data
4) All Data
5) Exit
'''))
if userInput == 1:
cpuExitTrue = False
choice_cpu = cpu.CPU()
while cpuExitTrue is False:
cpu_selection = int(
input('''
Please select an option below:
1) Year by year analysis
2) Moore's Law (two year) analysis
3) Exit
'''))
if cpu_selection == 1:
choice_cpu.avg_perc_inc()
elif cpu_selection == 2:
choice_cpu.two_year_inc()
elif cpu_selection == 3:
cpuExitTrue = True
else:
print('Invalid Selection')
elif userInput == 2:
gpuExitTrue = False
choice_gpu = gpu.GPU()
while gpuExitTrue is False:
gpu_selection = int(
input('''
Please select an option below:
1) Year by year analysis
2) Moore's Law (two year) analysis
3) Exit
'''))
if gpu_selection == 1:
choice_gpu.avg_perc_inc()
elif gpu_selection == 2:
choice_gpu.two_year_inc()
elif gpu_selection == 3:
gpuExitTrue = True
else:
print('Invalid Selection')
elif userInput == 3:
ramExitTrue = False
choice_ram = ram.RAM()
while ramExitTrue is False:
ram_selection = int(
input('''
Please select an option below:
1) Year by year analysis
2) Moore's Law (two year) analysis
3) Exit
'''))
if ram_selection == 1:
choice_ram.avg_perc_inc()
elif ram_selection == 2:
choice_ram.two_year_inc()
elif ram_selection == 3:
ramExitTrue = True
else:
print('Invalid Selection')
elif userInput == 4:
allExitTrue = False
choice_all = all.ALL()
while allExitTrue is False:
all_selection = int(
input('''
Please select an option below:
1) Year by year analysis
2) Moore's Law (two year) analysis
3) Exit
'''))
if all_selection == 1:
choice_all.avg_perc_inc()
elif all_selection == 2:
choice_all.two_year_inc()
elif all_selection == 3:
allExitTrue = True
else:
print('Invalid Selection')
elif userInput == 5:
exitFalse = False
else:
print('Invalid selection')
image_file = "tela.png"
# Tratando entrada de parâmetro
parser = argparse.ArgumentParser(
add_help=False) # parser para linha de comando
parser.add_argument("-i", "--input", help="arquivo X3D de entrada")
parser.add_argument("-o", "--output", help="arquivo 2D de saída (imagem)")
parser.add_argument("-w", "--width", help="resolução horizonta", type=int)
parser.add_argument("-h", "--height", help="resolução vertical", type=int)
args = parser.parse_args() # parse the arguments
if args.input: x3d_file = args.input
if args.output: image_file = args.output
if args.width: width = args.width
if args.height: height = args.height
# Iniciando simulação de GPU
gpu.GPU(width, height)
# Abre arquivo X3D
scene = x3d.X3D(x3d_file)
scene.set_resolution(width, height)
# funções que irão fazer o rendering
x3d.X3D.render["Polypoint2D"] = polypoint2D
x3d.X3D.render["Polyline2D"] = polyline2D
x3d.X3D.render["TriangleSet2D"] = triangleSet2D
scene.parse() # faz o traversal no grafo de cena
interface.Interface(width, height,
image_file).preview(gpu.GPU._frame_buffer)
