There are 3 primary ways to pass data into functions: move, copy, or borrow (aka a reference). Since mutability is inherently intertwined with data passing (this function can borrow my data, but only if they promise not to mess with it), we end up with 6 distinct combinations.
Every language has its own level of support and take on these semantics:
In Rails 5, the preferred base class for testing controllers is ActionDispatch::IntegrationTest.
If you have an API that receives parameters as JSON request bodies, here are some helper methods to facilitate testing:
class ActionDispatch::IntegrationTest
def put_json(path, obj)
put path, params: obj.to_json, headers: { 'CONTENT_TYPE' => 'application/json' }
endJust a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.
The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.
On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:
####### 1. A low-resolution photo of road signs
