python-3.x

问题 How can you decompress a string of text in Python 3, that has been compressed with gzip and converted to base 64? For example, the text: EgAAAB+LCAAAAAAABAALycgsVgCi4vzcVAWFktSKEgC9n1/fEgAAAA== Should convert to: This is some text The following C# code successfully does this: var gzBuffer = Convert.FromBase64String(compressedText); using (var ms = new MemoryStream()) { int msgLength = BitConverter.ToInt32(gzBuffer, 0); ms.Write(gzBuffer, 4, gzBuffer.Length - 4); var buffer = new byte

问题 I got the results by running the code provided in this link Neural Network – Predicting Values of Multiple Variables. I was able to compute losses accuracy etc. However, every time I run this code, I get a new result. Is it possible to get the same (consistent) result? 回答1: The code is full of random.randint() everywhere! Furthermore, the weights are most of the time randomly set aswell, and the batch_size also has an influence (although pretty minor) in the result. Y_train, X_test, X_train

问题 I got the results by running the code provided in this link Neural Network – Predicting Values of Multiple Variables. I was able to compute losses accuracy etc. However, every time I run this code, I get a new result. Is it possible to get the same (consistent) result? 回答1: The code is full of random.randint() everywhere! Furthermore, the weights are most of the time randomly set aswell, and the batch_size also has an influence (although pretty minor) in the result. Y_train, X_test, X_train

问题 I am trying spaCy's PhraseMatcher. I have used an adaptation of the example given in the website like below. color_patterns = [nlp(text) for text in ('red', 'green', 'yellow')] product_patterns = [nlp(text) for text in ('boots', 'coats', 'bag')] material_patterns = [nlp(text) for text in ('bat', 'yellow ball')] matcher = PhraseMatcher(nlp.vocab) matcher.add('COLOR', None, *color_patterns) matcher.add('PRODUCT', None, *product_patterns) matcher.add('MATERIAL', None, *material_patterns) doc =

问题 I am trying spaCy's PhraseMatcher. I have used an adaptation of the example given in the website like below. color_patterns = [nlp(text) for text in ('red', 'green', 'yellow')] product_patterns = [nlp(text) for text in ('boots', 'coats', 'bag')] material_patterns = [nlp(text) for text in ('bat', 'yellow ball')] matcher = PhraseMatcher(nlp.vocab) matcher.add('COLOR', None, *color_patterns) matcher.add('PRODUCT', None, *product_patterns) matcher.add('MATERIAL', None, *material_patterns) doc =

问题 So I wiped Python 3.6 some weeks ago and seem to have incorrectly reinstalled matplotlib etc because I've been getting a bunch of errors for different things. I'm trying to run a script that displays a number of images side by side using subplot. Tried it from the command line, worked fine. But when I write it all up in a script and try to run it (I have about 24 images) I get the following error: You probably need to get an updated matplotlibrc file from http://github.com/matplotlib

问题 So I wiped Python 3.6 some weeks ago and seem to have incorrectly reinstalled matplotlib etc because I've been getting a bunch of errors for different things. I'm trying to run a script that displays a number of images side by side using subplot. Tried it from the command line, worked fine. But when I write it all up in a script and try to run it (I have about 24 images) I get the following error: You probably need to get an updated matplotlibrc file from http://github.com/matplotlib

问题 Hi I am trying to write a dataframe to my sql database using df.to_sql however I am getting the error message: TypeError: cannot use a string pattern on a bytes-like object. I am using Python 3. I am using a path on my drive which I can unfortuantly not share. But it works fine when I just want to open the csv file using. df = pd.read_csv(path, delimiter=';', engine='python', low_memory=True, encoding='utf-8-sig') I am using the encoding item because otherwise their is a strange object at my

问题 I tried to make a cart for this site: https://www.off---white.com/en/IT When I tried to send values for the params of the cart, one of this params is a token of recaptcha. I tried manually to get the token using this project 'https://github.com/Cosmo3904/Recaptcha-Harvester-V2' When I tried to make the request I pass all params: token = 'recaptcha_token' #(I get it manually and expires every 110s) payload = {"variant_id": "111380", "quantity": "1", 'g-recaptcha-response': token} s = requests

问题 I have upgraded to Selenium 4 new_binary_path = FirefoxBinary('path_to_binary') selenium.webdriver.Firefox(executable_path=path, options=ops, firefox_binary=new_binary_path) or options.add_argument("--setBinary(path_to_binary)") selenium.webdriver.Firefox(executable_path=path, options=ops) Return this error message DeprecationWarning: executable_path has been deprecated, please pass in a Service object Documentation https://github.com/SeleniumHQ/selenium/blob/master/javascript/node/selenium