Getting CKFinder to work with Azure Blob Storage and CDN?

I am using CKFinder 4.0 with the Azure Blob Storage as a BackEnd like this: config.AddBackend(“FolderName”, new AzureStorage(“AzureAccountName”, “AzureKey”, “Azure Public Blob Name”, baseUrl)); The CKFinder editor works great and all CRUD operations work inside the editor saving to Azure Blob Storage. However, I want to setup a CDN attached to my Azure Blob instead…

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YUM Upgrade when package name changes

The API Gateway Kong decided to change the name of their Centos package. For versions up to 1.1 its “kong-community-edition”, after that its just “kong” kong-community-edition.noarch 1.0.2-1 bintray–kong-kong-rpm kong-community-edition.noarch 1.0.3-1 bintray–kong-kong-rpm kong-community-edition.noarch 1.1.0rc1-1 bintray–kong-kong-rpm kong.noarch 1.2.1-1 bintray–kong-kong-rpm kong.noarch 1.2.2-1 bintray–kong-kong-rpm kong.x86_64 1.3.0-1 bintray–kong-kong-rpm Can I somehow tell YUM to upgrade the current installation of kong-community-edition…

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How to redirect to Home page?

ConfirmEmail page contains: public async Task<IActionResult> OnGetAsync(string userId, string code) { if (userId == null || code == null) { return RedirectToPage(“/Index”); // <———-error } var user = await _userManager.FindByIdAsync(userId); if (user == null) { return NotFound($”Unable to load user with ID ‘{userId}’.”); } code = Encoding.UTF8.GetString(WebEncoders.Base64UrlDecode(code)); var result = await _userManager.ConfirmEmailAsync(user, code); StatusMessage =…

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Verify return code: 20 unable to get local issuer certificate

been following the guide below to create a transparent IoT Edge gateway, and connect a downstream/leaf device to it. https://docs.microsoft.com/en-us/azure/iot-edge/how-to-connect-downstream-device When i reach the final test step as below openssl s_client -connect mygateway.contoso.com:8883 -CAfile /certs/azure-iot-test-only.root.ca.cert.pem -showcerts I got the error below No client certificate CA names sent Client Certificate Types: RSA sign, DSA sign, ECDSA…

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Difference between va_loss from fit and score from evaluate?

I am learning to use tf and Keras with a regression problem. I have written this function for cross-validate differents models, in order to compare them. def cv(X, y, model, n_splits=5, epochs=5, batch_size=1024, random_state=42, verbose=0): # kf = KFold(n_splits=n_splits, shuffle=True, random_state=random_state) kf = KFold(n_splits=n_splits, shuffle=False, random_state=random_state) histories = [] for s in kf.split(X): X_train =…

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