python-3.x

问题 I have an image (a captcha) that I download from the web. When I loaded to opencv it seems to loose its properties or simply mixes the transparent background with the dark/black colors: Currently the code does nothing but loading a writing again: captchaImg = cv2.imread('captcha1.png') cv2.imwrite("captcha2.png", captchaImg) I have tried loading also with options 0, 1, 2, 3 but the result is the same. 回答1: Well this is a problem with opencv and it has a solution with opencv but it is kind of

问题 I have to create and use a class derived from an upstream package (not modifiable) I want/need to add/modify a method in the derived class that should be async because i need to await a websocket send/recv in the method I tried just to add async to the method but i get the message (from the base class method) that my method from derived class RuntimeWarning: coroutine MyCopyProgressHandler.end was never awaited Is there a way to "convert" derived class method to async? 回答1: When you need to

问题 I have to create and use a class derived from an upstream package (not modifiable) I want/need to add/modify a method in the derived class that should be async because i need to await a websocket send/recv in the method I tried just to add async to the method but i get the message (from the base class method) that my method from derived class RuntimeWarning: coroutine MyCopyProgressHandler.end was never awaited Is there a way to "convert" derived class method to async? 回答1: When you need to

问题 In R often the NULL value is used as default. Using Python and RPy2, how can one explicitly provide a NULL argument? None is not convertible ( NotImplementedError ), a string 'NULL' will just be converted to a string and result in an error during execution. Take the following example using the tsintermittent package: import numpy as np from rpy2.robjects.packages import importr from rpy2.robjects import numpy2ri numpy2ri.activate() tsintermittent = importr('tsintermittent') crost =

问题 In R often the NULL value is used as default. Using Python and RPy2, how can one explicitly provide a NULL argument? None is not convertible ( NotImplementedError ), a string 'NULL' will just be converted to a string and result in an error during execution. Take the following example using the tsintermittent package: import numpy as np from rpy2.robjects.packages import importr from rpy2.robjects import numpy2ri numpy2ri.activate() tsintermittent = importr('tsintermittent') crost =

问题 I'm trying to find a faster way to calculate factorial. In the following code, I first use recursion method , and then I use another method by dividing the whole operation into smaller calculations and then run them in parallel. Here's my code: #!/usr/bin/env python3 import time from multiprocessing import Pool import itertools def fact(n): if n==1: return 1 else: a=n*fact(n-1) return a def divid(start ,end): m=1 for i in range(start,end+1): m=m*i return m pool=Pool() a=time.time() res=fact

问题 I'm trying to find a faster way to calculate factorial. In the following code, I first use recursion method , and then I use another method by dividing the whole operation into smaller calculations and then run them in parallel. Here's my code: #!/usr/bin/env python3 import time from multiprocessing import Pool import itertools def fact(n): if n==1: return 1 else: a=n*fact(n-1) return a def divid(start ,end): m=1 for i in range(start,end+1): m=m*i return m pool=Pool() a=time.time() res=fact

问题 In R often the NULL value is used as default. Using Python and RPy2, how can one explicitly provide a NULL argument? None is not convertible ( NotImplementedError ), a string 'NULL' will just be converted to a string and result in an error during execution. Take the following example using the tsintermittent package: import numpy as np from rpy2.robjects.packages import importr from rpy2.robjects import numpy2ri numpy2ri.activate() tsintermittent = importr('tsintermittent') crost =

问题 I'm trying to find a faster way to calculate factorial. In the following code, I first use recursion method , and then I use another method by dividing the whole operation into smaller calculations and then run them in parallel. Here's my code: #!/usr/bin/env python3 import time from multiprocessing import Pool import itertools def fact(n): if n==1: return 1 else: a=n*fact(n-1) return a def divid(start ,end): m=1 for i in range(start,end+1): m=m*i return m pool=Pool() a=time.time() res=fact

问题 I would like to run my py_test with python 3 in Bazel. py_library( name = "foo", srcs = ["foo.py"] ) py_test( name = "foo_test", srcs = glob(["foo_test.py",]), deps = [":foo"] ) py_runtime( name = "python-3.6.3", files = [], interpreter_path = "/usr/local/bin/python3", ) I was able to achieve this using command bazel test --python_top=//path/to/foo:python-3.6.3 foo_test However, I would like to import python3 to bazel sandbox with new_http_archive and provide the interpreter_path for the py