hie,
I'm writing my first big python program (3.8) and I try to use a function for several uses (same work but with different targets from existing attributes)
I hope it's clear enough.
here the wanted Job :
it's inside a QT5 GUI (QApplication)
class GuiSuperQuizz(QWidget, QApplication):
...
...
def ajout_pts_blindtest(self, nbr):
x = nbr
x = str(x)
eval("team" + x).ajou_pts(int(self.point_blindtest))
eval("self.score_equip_" + x).setText(str(eval("team" + x).point)) # bug is here
eval("self.gest_score_equip_" + x).setText(str(eval("team" + x).point))
print(eval("team" + x).point)
self.continu[0] = False
self.en_pause[0] = False
self.records_scores()
The interpreter do not recognize the attribute "score_equip_1" and give me an error
AttributeError: 'GuiSuperQuizz' object has no attribute 'score_equip_1'
Yet, I know that attribute works well with this other function that work fine
def ajout_pts_rap_team1(self):
team1.ajou_pts(int(self.point_rap))
self.score_equip_1.setText(str(team1.point))
self.gest_score_equip_1.setText(str(team1.point))
print(team1.point)
self.continu[0] = False
self.en_pause[0] = False
self.aff_ligne4()
self.records_scores()
For not writing 4 functions to target 4 variables that are just incremented (it's a Quizz game with 4 players) I try try to concatenate in 1 function that arrange targets.
if I test the same logic on a very simple lines that works:
test1 = 456
def test(nbr):
x = nbr
x=str(x)
print(eval("test"+x))
test(1)
456
If anyone got some explanations ....
Related
I'm trying to run distributed python job through azure ML pipelines using MPIStep pipeline class, by referring to the below example link - https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/machine-learning-pipelines/pipeline-style-transfer/pipeline-style-transfer.ipynb
I tried implemented the same but even I change the node count parameter in MpiStep class, while running the script the it shows size (i.e comm.Get_size()) as 1 always. Can you please help me in what I'm missing here. Is there any specific setup required on the cluster?
Code snippets:
Pipeline code snippet:
model_dir = model_ds.path('./'+saved_model_blob+'/',data_reference_name='saved_model_path').as_mount()
label_dir = model_ds.path('./'+model_label_blob+'/',data_reference_name='model_label_blob').as_mount()
input_images = result_ds.path('./'+score_blob_name+'/',data_reference_name='Input_images').as_mount()
output_container = 'abc'
inti_container = 'xyz'
distributed_batch_score_step = MpiStep(
name="batch_scoring",
source_directory=SCRIPT_FOLDER,
script_name="batch_scoring_script_mpi.py",
arguments=["--dataset_path", input_images,
"--model_name", model_dir,
"--label_dir", label_dir,
"--intermediate_data_container", inti_container,
"--output_container", output_container],
compute_target=gpu_cluster,
inputs=[input_images, model_dir,label_dir],
pip_packages=["tensorflow","tensorflow-gpu==1.13.1","pillow","azure-keyvault","azure-storage-blob"],
conda_packages=["mesa-libgl-cos6-x86_64","mpi4py==3.0.2","opencv=3.4.2","scikit-learn=0.21.2"],
use_gpu=True,
allow_reuse = False,
node_count = nodecount_param,
process_count_per_node = 1
)
Python Script code snippet:
def run(input_dataset,comm):
rank = comm.Get_rank()
size = comm.Get_size()
print("Rank:" , rank)
print("Size:", size) # shows always 1, even the input node count is >1
print(MPI.Get_processor_name())
file_names = get_file_names(args.dataset_path)
sorted(file_names)
partition_size = len(file_names) // size
print("partition_size-->",partition_size)
partitioned_filenames = file_names[rank * partition_size: (rank + 1) * partition_size]
print("RANK {} - is processing {} images out of the total {}".format(rank, len(partitioned_filenames),
len(file_names)))
# call to Function 01
# call to Function 02
img_names = score_df['image_name'].unique()
output_batch = pd.DataFrame()
for i in img_names:
# call to Function 3
output_batch = output_batch.append(pp_output, ignore_index=True)
output_paths_list = comm.gather(output_batch, root=0)
print("RANK {} - number of pre-aggregated output files {}".format(rank, len(output_batch)))
print("saved in", currentDT + '\\' + 'data.csv')
if rank == 0:
print("RANK {} - number of aggregated output files {}".format(rank, len(output_paths_list)))
print("RANK {} - end".format(rank))
if __name__ == "__main__":
with tf.device('/GPU:0'):
init()
comm = MPI.COMM_WORLD
run(args.dataset_path,comm)
Got to know the issue is due to package version, earlier it is installed via conda with conda_packages=["mpi4py==3.0.2"], it worked after changing the install through pip - pip_packages=["mpi4py"]
Question
I'm trying to find NET_WM_NAME property for each of the window/client that X11 reports. Problem is that there's nothing returned - number of items is 0 and returned data results in empty string. I've looked at multiple code examples through out github and examples written in C and C++ , specifically Why is XGetWindowProperty returning null? as well as Xlib XGetWindowProperty Zero items returned , however I cannot find where is the problem with my code. Seemingly everything is fine, order of parameters passed to XGetWindowProperty function is in accordance with documentation, and the function returns success status, but results are empty. Where is the problem with my code ?
Code
Below is the code I am working with. The issue is xgetwindowproperty function. The other parts below it work fine, and are provided only for completeness.
#! /usr/bin/env python3
import sys
from ctypes import *
def xgetwindowproperty(display,w):
actual_type_return = c_ulong()
actual_format_return = c_int()
nitems_return = c_ulong()
bytes_after_return = c_ulong()
prop_return = POINTER(c_ubyte)()
wm_name = Xlib.XInternAtom(display,'_NET_WM_NAME',False)
utf8atom = Xlib.XInternAtom(display,'UTF8_STRING',False)
print('_NET_WM_NAME',wm_name, 'UTF8_STRING',utf8atom)
# AnyPropertyType = c_long(0)
status = Xlib.XGetWindowProperty(
display,
w,
wm_name,
0,
65536,
False,
utf8atom,
byref(actual_type_return),
byref(actual_format_return),
byref(nitems_return),
byref(bytes_after_return),
byref(prop_return)
)
print(nitems_return.value) # returns 0
# empty string as result
print( 'Prop', ''.join([ chr(c) for c in prop_return[:bytes_after_return.value] ]) )
Xlib.XFree(prop_return)
print('#'*10)
# -------
Xlib = CDLL("libX11.so.6")
display = Xlib.XOpenDisplay(None)
if display == 0:
sys.exit(2)
w = Xlib.XRootWindow(display, c_int(0))
root = c_ulong()
children = POINTER(c_ulong)()
parent = c_ulong()
nchildren = c_uint()
Xlib.XQueryTree(display, w, byref(root), byref(parent), byref(children), byref(nchildren))
for i in range(nchildren.value):
print("Child:",children[i])
xgetwindowproperty(display,children[i])
I'm very new to Python (3.6). My console is giving me the following error: "NameError: name 'A' is not defined". How can I fix this error?
def NuclearBindingEnergy(A,Z):
a_V=15.67
a_S=17.23
a_C=0.75
a_A=93.2
a_P=0
if A%2==1:
a_P=0
else:
if Z%2==0:
a_P=12.0
else:
a_P=-12.0
B = (a_V)*A - ((a_S)*(A**(2/3))) - (a_C)*(Z**2/(A**(1/3))) - ((a_A)*(((A-(2*Z))**2)/A)) + ((a_P)/A**(1/2))
return B
def NuclearBindingEnergyPerNucleon(A,Z):
return NuclearBindingEnergy(A,Z)/A
print(NuclearBindingEnergy(A,Z))
print(NuclearBindingEnergy(A,Z)/A)
you have to declare A and Z variables values for example as following
A =12
Z = 5
print(NuclearBindingEnergy(A,Z))
print(NuclearBindingEnergy(A,Z)/A)
it will output
55.008666416854204
4.584055534737851
When you use parameters in a function you dont need to define them because they must be defined when the function used, but when you use some function and you want to take some values inside them as a parameter so you must defined them before using in the functions parameter so in your example you just can define A and Z like :-
...
A = 20
Z = 30
print(NuclearBindingEnergy(A,Z))
print(NuclearBindingEnergy(A,Z)/A)
...
And also you can use numbers instead them like:-
...
print(NuclearBindingEnergy(70, 60))
print(NuclearBindingEnergy(80,90)/100)
...
I'm trying to connect two blocks with the "Connector" class implemented in pyomo, using the following simple examplary code.
from pyomo.environ import *
m = ConcreteModel()
# Block 01
m.block_01 = Block()
m.block_01.flow = Var(within=NonNegativeReals, bounds=(2, 10))
m.block_01.OUT = Connector(initialize= {'flow': m.block_01.flow})
# Block 02
m.block_02 = Block()
m.block_02.flow = Var(within=NonNegativeReals)
m.block_02.IN = Connector(initialize= {'flow': m.block_02.flow})
m.con = Constraint(expr=m.block_01.OUT == m.block_02.IN)
def _obj(_m):
return _m.block_01.flow + _m.block_02.flow
m.obj = Objective(rule=_obj)
After "optimization" all variables take their lower bound values (m.block_01.flow = 2 and m.block_02.flow = 0). So the Connector seems not to transfer any data for the variables.
If I'm using:
m.con = Constraint(expr=m.block_01.flow == m.block_02.flow)
instead, it works. However this is not the idea of Connectors, right?
Any ideas about the reason for the problem?
Did you apply the expand_connectors transformation before sending your model to a solver?
TransformationFactory('core.expand_connectors').apply_to(m)
I'm not sure if the title accurately describes what I'm trying to do. I have a Python3.x script that I wrote that will issue flood warning to my facebook page when the river near my home has reached it's lowest flood stage. Right now the script works, however it only reports data from one measuring station. I would like to be able to process the data from all of the stations in my county (total of 5), so I was thinking that maybe a class method may do the trick but I'm not sure how to implement it. I've been teaching myself Python since January and feel pretty comfortable with the language for the most part, and while I have a good idea of how to build a class object I'm not sure how my flow chart should look. Here is the code now:
#!/usr/bin/env python3
'''
Facebook Flood Warning Alert System - this script will post a notification to
to Facebook whenever the Sabine River # Hawkins reaches flood stage (22.3')
'''
import requests
import facebook
from lxml import html
graph = facebook.GraphAPI(access_token='My_Access_Token')
river_url = 'http://water.weather.gov/ahps2/river.php?wfo=SHV&wfoid=18715&riverid=203413&pt%5B%5D=147710&allpoints=143204%2C147710%2C141425%2C144668%2C141750%2C141658%2C141942%2C143491%2C144810%2C143165%2C145368&data%5B%5D=obs'
ref_url = 'http://water.weather.gov/ahps2/river.php?wfo=SHV&wfoid=18715&riverid=203413&pt%5B%5D=147710&allpoints=143204%2C147710%2C141425%2C144668%2C141750%2C141658%2C141942%2C143491%2C144810%2C143165%2C145368&data%5B%5D=all'
def checkflood():
r = requests.get(river_url)
tree = html.fromstring(r.content)
stage = ''.join(tree.xpath('//div[#class="stage_stage_flow"]//text()'))
warn = ''.join(tree.xpath('//div[#class="current_warns_statmnts_ads"]/text()'))
stage_l = stage.split()
level = float(stage_l[2])
#check if we're at flood level
if level < 22.5:
pass
elif level == 37:
major_diff = level - 23.0
major_r = ('The Sabine River near Hawkins, Tx has reached [Major Flood Stage]: #', stage_l[2], 'Ft. ', str(round(major_diff, 2)), ' Ft. \n Please click the link for more information.\n\n Current Warnings and Alerts:\n ', warn)
major_p = ''.join(major_r)
graph.put_object(parent_object='me', connection_name='feed', message = major_p, link = ref_url)
<--snip-->
checkflood()
Each station has different 5 different catagories for flood stage: Action, Flood, Moderate, Major, each different depths per station. So for Sabine river in Hawkins it will be Action - 22', Flood - 24', Moderate - 28', Major - 32'. For the other statinos those depths are different. So I know that I'll have to start out with something like:
class River:
def __init__(self, id, stage):
self.id = id #station ID
self.stage = stage #river level'
#staticmethod
def check_flood(stage):
if stage < 22.5:
pass
elif stage.....
but from there I'm not sure what to do. Where should it be added in(to?) the code, should I write a class to handle the Facebook postings as well, is this even something that needs a class method to handle, is there any way to clean this up for efficiency? I'm not looking for anyone to write this up for me, but some tips and pointers would sure be helpful. Thanks everyone!
EDIT Here is what I figured out and is working:
class River:
name = ""
stage = ""
action = ""
flood = ""
mod = ""
major = ""
warn = ""
def checkflood(self):
if float(self.stage) < float(self.action):
pass
elif float(self.stage) >= float(self.major):
<--snip-->
mineola = River()
mineola.name = stations[0]
mineola.stage = stages[0]
mineola.action = "13.5"
mineola.flood = "14.0"
mineola.mod = "18.0"
mineola.major = "21.0"
mineola.alert = warn[0]
hawkins = River()
hawkins.name = stations[1]
hawkins.stage = stages[1]
hawkins.action = "22.5"
hawkins.flood = "23.0"
hawkins.mod = "32.0"
hawkins.major = "37.0"
hawkins.alert = warn[1]
<--snip-->
So from here I'm tring to stick all the individual river blocks into one block. What I have tried so far is this:
class River:
... name = ""
... stage = ""
... def testcheck(self):
... return self.name, self.stage
...
>>> for n in range(num_river):
... stations[n] = River()
... stations[n].name = stations[n]
... stations[n].stage = stages[n]
...
>>> for n in range(num_river):
... stations[n].testcheck()
...
<__main__.River object at 0x7fbea469bc50> 4.13
<__main__.River object at 0x7fbea46b4748> 20.76
<__main__.River object at 0x7fbea46b4320> 22.13
<__main__.River object at 0x7fbea46b4898> 16.08
So this doesn't give me the printed results that I was expecting. How can I return the string instead of the object? Will I be able to define the Class variables in this manner or will I have to list them out individually? Thanks again!
After reading many, many, many articles and tutorials on class objects I was able to come up with a solution for creating the objects using list elements.
class River():
def __init__(self, river, stage, flood, action):
self.river = river
self.stage = stage
self.action = action
self.flood = flood
self.action = action
def alerts(self):
if float(self.stage < self.flood):
#alert = "The %s is below Flood Stage (%sFt) # %s Ft. \n" % (self.river, self.flood, self.stage)
pass
elif float(self.stage > self.flood):
alert = "The %s has reached Flood Stage(%sFt) # %sFt. Warnings: %s \n" % (self.river, self.flood, self.stage, self.action)
return alert
'''this is the function that I was trying to create
to build the class objects automagically'''
def riverlist():
river_list = []
for n in range(len(rivers)):
station = River(river[n], stages[n], floods[n], warns[n])
river_list.append(station)
return river_list
if __name__ == '__main__':
for x in riverlist():
print(x.alerts())