python-3.7

问题 I have created a simple remote function with ray that utilizes very little memory. However, after running for a short period of time the memory increases steadily and I get a RayOutOfMemoryError Exception. The following code is a VERY simple example of this problem. The "result_transformed" numpy array is being sent to the workers where each worker can do work on this. My simplified calc_similarity function does nothing, but it still runs out of memory. I have added much longer sleep times to

问题 I have time varying data trace which I want to fit a function to. The inputs to the functions are lists and I want the curve_fit to optimize all values in the list to fit the curve. I have gotten so far- from scipy.optimize import curve_fit from matplotlib.pylab import plt from numpy import exp def ffunc2(x, a, b): counter = 0 return_value = 0 while counter < len(a): return_value += a[counter] * exp(b[counter] * x) counter += 1 return return_value # INITIAL DATA x = [1, 2, 3, 5] y = [1, 8, 81

问题 Hello guys i'm trying to send email to multiple user through AWS SES using Python but whenever i'm trying to send a mail i got a error : Illegal address This is my code: def emailServiceForCustomerInformation(self, emailSubject, customerLicenseMessage, installation_name): # logger = ToolsLogger.getOrCreateLogger(current_user.keyspace) logger = ToolsLogger.getOrCreateRootLogger() logger.info("Email service For Customer is started") record = int(recordCount) # print("emailRcord-",record) # This

问题 Long story short PEP-557 introduced data classes into Python standard library, that basically can fill the same role as collections.namedtuple and typing.NamedTuple . And now I'm wondering how to separate the use cases in which namedtuple is still a better solution. Data classes advantages over NamedTuple Of course, all the credit goes to dataclass if we need: mutable objects inheritance support property decorators, manageable attributes generated method definitions out of the box or

问题 Long story short PEP-557 introduced data classes into Python standard library, that basically can fill the same role as collections.namedtuple and typing.NamedTuple . And now I'm wondering how to separate the use cases in which namedtuple is still a better solution. Data classes advantages over NamedTuple Of course, all the credit goes to dataclass if we need: mutable objects inheritance support property decorators, manageable attributes generated method definitions out of the box or

问题 pip3 install is not working and also pip3 is not being able to downgrade to pip19 from pip20.0: Rayaans-MacBook-Pro:~ rayaangrewal$ pip3 install Traceback (most recent call last): File "/Library/Frameworks/Python.framework/Versions/3.7/bin/pip3", line 10, in <module> sys.exit(main()) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pip/_internal/cli/main.py", line 73, in main command = create_command(cmd_name, isolated=("--isolated" in cmd_args)) File "

问题 pip3 install is not working and also pip3 is not being able to downgrade to pip19 from pip20.0: Rayaans-MacBook-Pro:~ rayaangrewal$ pip3 install Traceback (most recent call last): File "/Library/Frameworks/Python.framework/Versions/3.7/bin/pip3", line 10, in <module> sys.exit(main()) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pip/_internal/cli/main.py", line 73, in main command = create_command(cmd_name, isolated=("--isolated" in cmd_args)) File "

问题 I failed to install twisted by pip command, so I manually downloaded the .whl file and got it installed( version 18.7.0). Only after i did that, my laptop could install scrapy; however, it seems that the twisted package is not compatible with python 3.7 and it keeps saying "syntax error" I have tried some method posted on the Github about this issue(https://github.com/scrapy/scrapy/issues/3143), but none of them solve it. I wonder whether I need to shift to python 3.6 or not? cause my python

问题 I want to place a button in the upper right corner and have the button be an image. I understand about scoping/garbage-collection etc. and have seen all the other questions asked here that overlook this fact. However, I have tried numerous methods including creating a self.photo and declaring photo as a global variable. I'm actually not even convinced that that's the issue, because I declare the photo in the same scope as I call the mainloop() . My code right now (which is mostly borrowed

问题 I am trying to get my hands dirty with dataclasses in Python and what i want to do is have a computed field inside my class and also add the sort_index field to the call but would also want to make it frozen so that i cannot modify any attributes of this class after definition. Below is my code: from dataclasses import dataclass, field def _get_year_of_birth(age: int, current_year: int=2019): return current_year - age @dataclass(order=True, frozen=True) class Person(): sort_index: int = field