I have done a few trials on various z3 python scripts in Linux. In all the cases where I have set the parallel.enable options, it seems the the model is satisfiable after model.check() but when trying to get the model I receive the exception below. This is fairly consistent.
Only differences in trials:
< #z3.set_option("parallel.enable", True)
< #z3.set_option("parallel.threads.max", 16)
Error Message:
Traceback (most recent call last): File xxx, line 1348, in <module> m=s.model()
File "/Python/3.9/3.9.7-20211101/lib/python3.9/site-packages/z3/z3.py", line 7031, in model
raise Z3Exception("model is not available")
z3.z3types.Z3Exception: model is not available
Related
I'm struggling to get the deap.tools.mutUniformInt mutation function to work. To isolate the issue for this SO question, I changed line 62 of examples/ga/onemax.py from
toolbox.register("mutate", tools.mutFlipBit, indpb=0.05)
to
toolbox.register("mutate", tools.mutUniformInt, 0, 1, indpb=0.05)
The onemax.py example now fails:
C:\Users\mshiv\DEAP>python onemax.py
Start of evolution
Evaluated 300 individuals
-- Generation 1 --
Traceback (most recent call last):
File "C:\Users\mshiv\DEAP\onemax.py", line 161, in <module>
main()
File "C:\Users\mshiv\DEAP\onemax.py", line 128, in main
toolbox.mutate(mutant)
File "C:\Users\mshiv\AppData\Local\Programs\Python\Python39\lib\site-packages\deap\tools\mutation.py", line 159, in mutUniformInt
size = len(individual)
TypeError: object of type 'int' has no len()
Both mutators should operate on an Individual, which is defined in onemax.py to be a list, so why does mutFlipBit work, but mutUniformInt seems to receive the Individual parameter as an int, not a list?
Poking around in the DEAP code, I found that mutUniformInt receives the parameters out of order, i.e. they are passed in as (low, up, individual, indpb) whereas the function itself is defined as
def mutUniformInt(individual, low, up, indpb):
Am I registering this mutation function incorrectly?
Source of the onemax example I altered:
https://github.com/DEAP/deap/blob/master/examples/ga/onemax.py
NVM - found the answer here:
https://groups.google.com/g/deap-users/c/4sw2_Al4YFI/m/EvUiq70IBAAJ
The correct syntax should have been:
toolbox.register("mutate", tools.mutUniformInt, low=0, up=1, indpb=0.05)
python3.8
My code:
from googleads import adwords
def execute_request():
adwords_client = adwords.AdWordsClient.LoadFromStorage(path="google_general/googleads.yaml")
campaign_service = adwords_client.GetService('CampaignService', version='v201809')
pass
context["dict_list"] = execute_request()
Traceback:
Traceback (most recent call last):
File "/home/michael/pycharm-community-2019.3.2/plugins/python-ce/helpers/pydev/_pydevd_bundle/pydevd_xml.py", line 282, in frame_vars_to_xml
xml += var_to_xml(v, str(k), evaluate_full_value=eval_full_val)
File "/home/michael/pycharm-community-2019.3.2/plugins/python-ce/helpers/pydev/_pydevd_bundle/pydevd_xml.py", line 369, in var_to_xml
elif hasattr(v, "__len__") and not is_string(v):
File "/home/michael/PycharmProjects/ads3/venv/lib/python3.8/site-packages/googleads/common.py", line 694, in __getattr__
raise googleads.errors.GoogleAdsValueError('Service %s not found' % attr)
googleads.errors.GoogleAdsValueError: Service __len__ not found
Unexpected error, recovered safely.
googleads.yaml about logging
logging:
version: 1
disable_existing_loggers: False
formatters:
default_fmt:
format: ext://googleads.util.LOGGER_FORMAT
handlers:
default_handler:
class: logging.StreamHandler
formatter: default_fmt
level: DEBUG
loggers:
# Configure root logger
"":
handlers: [default_handler]
level: DEBUG
I've just started studying the API.
Namely, I'm trying to execute my first request (https://developers.google.com/adwords/api/docs/guides/first-api-call#make_your_first_api_call)
Could you help me with this problem? At least how to localize it more precisely.
This seems to be a problem which results from the way the PyCharm debugger inspects live objects during debugging.
Specifically, it checks if a given object has the __len__ attribute/method in the code of var_to_xml, most likely to determine an appropriate representation of the object for the debugger interface (which seems to require constructing an XML representation).
googleads service objects such as your campaign_service, however, use some magic to be able to call the defined SOAP methods on them without requiring to hard-code all of them. The code looks like this:
def __getattr__(self, attr):
"""Support service.method() syntax."""
if self._WsdlHasMethod(attr):
if attr not in self._method_proxies:
self._method_proxies[attr] = self._CreateMethod(attr)
return self._method_proxies[attr]
else:
raise googleads.errors.GoogleAdsValueError('Service %s not found' % attr)
This means that the debugger's check for a potential __len__ attribute is intercepted, and because the CampaignService does not have a SOAP operation called __len__, an exception is raised.
You can validate this by running your snippet in the regular way (i.e. not debugging it) and checking if that works.
An actual fix would seem to either require that PyCharm's debugger changes the way it inspects objects (not calling hasattr(v, "__len__")) or that googleads modifies the way it implements __getattr__, for example by actually implementing a __len__ method that just raises AttributeError.
I am using a Flask server to handle requests for some image-processing tasks.
The processing relies extensively on OpenCV and I would now like to trivially-parallelize some of the slower steps.
I have a preference for multiprocessing rather than multithreading (please assume the former in your answers).
But multiprocessing with opencv is apparently broken (I am on Python 2.7 + macOS): https://github.com/opencv/opencv/issues/5150
One solution (see https://github.com/opencv/opencv/issues/5150#issuecomment-400727184) is to use the excellent Loky (https://github.com/tomMoral/loky)
[Question: What other working solutions exist apart from concurrent.futures, loky, joblib..?]
But Loky leads me to the following stacktrace:
a,b = f.result()
File "/anaconda2/lib/python2.7/site-packages/loky/_base.py", line 433, in result
return self.__get_result()
File "/anaconda2/lib/python2.7/site-packages/loky/_base.py", line 381, in __get_result
raise self._exception
BrokenProcessPool: A task has failed to un-serialize. Please ensure that the arguments of the function are all picklable.
This was caused directly by
'''
Traceback (most recent call last):
File "/anaconda2/lib/python2.7/site-packages/loky/process_executor.py", line 391, in _process_worker
call_item = call_queue.get(block=True, timeout=timeout)
File "/anaconda2/lib/python2.7/multiprocessing/queues.py", line 135, in get
res = self._recv()
File "myfile.py", line 44, in <module>
app.config['EXECUTOR_MAX_WORKERS'] = 5
File "/anaconda2/lib/python2.7/site-packages/werkzeug/local.py", line 348, in __getattr__
return getattr(self._get_current_object(), name)
File "/anaconda2/lib/python2.7/site-packages/werkzeug/local.py", line 307, in _get_current_object
return self.__local()
File "/anaconda2/lib/python2.7/site-packages/flask/globals.py", line 52, in _find_app
raise RuntimeError(_app_ctx_err_msg)
RuntimeError: Working outside of application context.
This typically means that you attempted to use functionality that needed
to interface with the current application object in some way. To solve
this, set up an application context with app.app_context(). See the
documentation for more information.
'''
The functions to be parallelized are not being called from app/main.py, but rather from an abitrarily-deep submodule.
I have tried the similarly-useful-looking https://flask-executor.readthedocs.io/en/latest, also so far in vain.
So the question is:
How can I safely pass the application context through to the workers or otherwise get multiprocessing working (without recourse to multithreading)?
I can build out this question if you need more information. Many thanks as ever.
Related resources:
Copy flask request/app context to another process
Flask Multiprocessing
Update:
Non-opencv calls work fine with flask-executor (no Loky) :)
The problem comes when trying to call an opencv function like knnMatch.
If Loky fixes the opencv issue, I wonder if it can be made to work with flask-executor (not for me, so far).
I am having some troubles getting my Firebird connection to work, and it all seems related to encodings. I am connecting to the database like this (local_copy is /path/to/database.fdb):
conn = fdb.connect(dsn=local_copy, user='****', password='****', charset="ISO8859_1")
which only works for certain charsets. I need to have the ISO8859_1 charset, which worked before, but not anymore (perhaps because of an update).
Traceback (most recent call last):
File "sync.py", line 10, in <module>
conn = fdb.connect(dsn=local_copy, user='**', password='**', charset="ISO8859_1")
File "/usr/local/lib/python3.6/site-packages/fdb/fbcore.py", line 848, in connect
"Error while connecting to database:")
fdb.fbcore.DatabaseError: ('Error while connecting to database:\n- SQLCODE: -924\n- bad parameters on attach or create database\n- CHARACTER SET ISO8859_1 is not defined', -924, 335544325)
When I use ISO88591, the connect works, but Python is not happy with that:
Traceback (most recent call last):
File "sync.py", line 10, in <module>
conn = fdb.connect(dsn=local_copy, user='***', password='***', charset="ANSI")
File "/usr/local/lib/python3.6/site-packages/fdb/fbcore.py", line 826, in connect
no_reserve, db_key_scope, no_gc, no_db_triggers, no_linger)
File "/usr/local/lib/python3.6/site-packages/fdb/fbcore.py", line 759, in build_dpb
dpb.add_string_parameter(isc_dpb_user_name, user)
File "/usr/local/lib/python3.6/site-packages/fdb/fbcore.py", line 624, in add_string_parameter
value = value.encode(charset_map.get(self.charset, self.charset))
LookupError: unknown encoding: ISO88591
So, I thought perhaps adding an alias ISO88591 to Python would work. I tried to edit the /usr/lib64/python3.6/encodings/aliases.py, but that didn't seem to have any effect.
As a short summary of what was posted on Firebird-support, it looks the fbintl module in Firebird 2.5.8 on CentOS is broken.
As indicated by Philippe Makowski:
Sorry, it is broken, and I don't know how to fix it :
https://bugzilla.redhat.com/show_bug.cgi?id=1636177
but Firebird 3 is ok
https://copr.fedorainfracloud.org/coprs/makowski/firebird/
A possible workaround suggested in https://bugzilla.redhat.com/show_bug.cgi?id=1636177 is to either downgrade to 2.5.7, or to continue using 2.5.8, but replace its fbintl module with the one from 2.5.7.
I want to download a bunch of url list by:
urllib.request.urlretrieve(url, filename)
but sadly, few links are broken. and when urlretrieve meets that broken link
Traceback (most recent call last):
File "D:/Users/hyungsoo/PycharmProjects/untitled/check.py", line 71, in <module>
....blah_blah....
urllib.error.HTTPError: HTTP Error 404: Not Found
give me this error sign and program exited.
how to pass the broken url?
and moreover, is it possible to program tells me what link is broken?
You could try a "try...except..." statement, which you may find helpful. The "try" portion will attempt the given code, but the
"except" portion will be ready for the error message. It is really a wonderful feature. See teh following example:
while True:
... try:
... x = int(raw_input("Please enter a number: "))
... break
... except ValueError:
... print "Oops! That was no valid number. Try again..."
Note: Code taken from python APIs.