vandal | Static program analysis framework for Ethereum smart | Blockchain library

If you add z-index: 1; to .topnav, your problem will be solved. Because, topnav falls under the other contents that comes after topnav such as text, anchor est.

For the example data, one option could be omitting the alternation | as the second alternative would match a single line.

Then you could use a repeating pattern inside a capture group to match all lines that do not start with #

Note that this is for the example data, for advanced parsing of a markdown file you could look into a parser.

I simply would not just rely on a status code. You might get a non 200 status even for pages that are there. For example if you exceed a certain amount described in their robots.txt, or if your network has a delay or error.

So, to reply to your question: "How do I ensure that I scraped all pages corresponding to a certain letter?". To ensure it you may save all the "visible text" as in this reply BeautifulSoup Grab Visible Webpage Text and hash its content. When you hit the same hash, then you know that you already crawled/scraped that page. Therefore you can then incrementally go on the next letter.

As an example of hash snippet, I would use the following:

This line is wrong:

Use ++ to concat strings for the Desc field i.e.

You have a partial order only not a total order (not all states list all others in their superiors/inferiors list), so your score calculation doesn't work. States end up with a score depending on how often they were mentioned, not what their relative order is. You'll need to implement a topological sort algorithm.

The prediction values that you are seeing are not high numbers. On the contrary, they are negative exponentials, for example the first one is equal to 0.0079924166.

In order to correctly explain these value, it is necessary to know the activation function that is used by the model in the output layer. For example:

• if you were using the softmax activation function, the output values would represent the probability of the input sample to belong to each of the classes, and they would sum up to 1.
• if you were using the sigmoid activation function (as it looks like in this case), the outputs would be values between 0 and 1, which would be independent one from the other.

I believe you need Series.sum per first level PdDistrict - for sum values per first level of MultiIndex:

The mapping to resultList is used to map a list of rows with multiple output columns. Switching to singleResult was the right direction. You are using a hit policy "First" (one rule/ row only), so the map decision result property can only be singleEntry (one output column) or singleResult (several output columns).

After mapping the decision result to a singleResult, you can use the Input/Output tab in the property panel to map the result entries to process variables:

In the text field of the output mapping you can use unified expression language, e.g. ${deptRoureDetail.get('ROUT_TO_DEPT')}

to access the result variable (in your case deptRoutDetail) of type Map and access the desired fields (ROUT_TO_DEPT, etc) by their keys.

Full example:

a) BPMN