validation

问题 I need to check if a geohash string is valid, so I need to check if it's a base32 or not. 回答1: Base32 uses A-Z and 2-7 for the encoding, and adds a padding character = to get a multiple of 8 characters, so you can create a regex to see if the candidate string matches. Using regex.exec a matching string will return the match information, a non-matching string will return null , so you can use an if to test whether a match is true or false. Base32 encodings also must always be a length that is

问题 I need to check if a geohash string is valid, so I need to check if it's a base32 or not. 回答1: Base32 uses A-Z and 2-7 for the encoding, and adds a padding character = to get a multiple of 8 characters, so you can create a regex to see if the candidate string matches. Using regex.exec a matching string will return the match information, a non-matching string will return null , so you can use an if to test whether a match is true or false. Base32 encodings also must always be a length that is

问题 This question is the second part of a previous question (Linear Regression prediction in R using Leave One out Approach). I'm trying to build models for each country and generate linear regression predictions using the leave one out approach. In other words, in the code below when building model1 and model2 the "data" used should not be the entire data set. Instead it should be a subset of the dataset (country). Each country data should be evaluated using a model built with data specific to

问题 In WooCommerce, I have added extra field to account registration form: // 1. ADD FIELDS add_action( 'woocommerce_register_form_start', 'add_woo_account_registration_field' ); function add_woo_account_registration_field() { ?> <p class="form-row form-row-first"> <label for="reg_billing_account_number"><?php _e( 'Ship to/ Account number', 'woocommerce' ); ?> <span class="required">*</span></label> <input type="text" class="input-text" name="billing_account_number" id="reg_billing_account_number

问题 I tried to validate my tensorflow for my mac using these instructions https://www.tensorflow.org/install/install_mac#ValidateYourInstallation but produce this result. is that ok? bad? how can i fix this? thanks sess = tf.Session() Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA print(sess.run(hello)) b'Hello, TensorFlow!' Mac OS version: MacOS High Sierra 10.13.6 here is the full installation and validation output: usermacbook:tensorflowve someuser

问题 I tried to validate my tensorflow for my mac using these instructions https://www.tensorflow.org/install/install_mac#ValidateYourInstallation but produce this result. is that ok? bad? how can i fix this? thanks sess = tf.Session() Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA print(sess.run(hello)) b'Hello, TensorFlow!' Mac OS version: MacOS High Sierra 10.13.6 here is the full installation and validation output: usermacbook:tensorflowve someuser

问题 I tried to validate my tensorflow for my mac using these instructions https://www.tensorflow.org/install/install_mac#ValidateYourInstallation but produce this result. is that ok? bad? how can i fix this? thanks sess = tf.Session() Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA print(sess.run(hello)) b'Hello, TensorFlow!' Mac OS version: MacOS High Sierra 10.13.6 here is the full installation and validation output: usermacbook:tensorflowve someuser

问题 I am using ASP.NET MVC 2. Html.DropDownListFor and Html.TextAreaFor automatically get red borders when the validation fails. How to make the four borders of a TextBox (using Html.TextBoxFor) red when it fails validation? For example, I have a TextBox that is required and when the user submits the form without specifying a value in the textbox, I want the textbox to have red borders. 回答1: When validation fails for a model property - it'll add a class to the input in the html. Have a look at

问题 I am trying to validate an inserted document against a schema, and was trying to find a way to validate the inserted document. There are libraries like MongoEngine that say they do the work, but is there a way to do document validation directly via pymongo ? 回答1: The python driver docs are indeed a little light on how to use the db.command . Here is a complete working example: from pymongo import MongoClient from collections import OrderedDict import sys client = MongoClient() # supply

问题 I am trying to validate an inserted document against a schema, and was trying to find a way to validate the inserted document. There are libraries like MongoEngine that say they do the work, but is there a way to do document validation directly via pymongo ? 回答1: The python driver docs are indeed a little light on how to use the db.command . Here is a complete working example: from pymongo import MongoClient from collections import OrderedDict import sys client = MongoClient() # supply