gentle-intro | A gentle Rust tutorial | Learning library

That article is old, from 2018, and since then Angular has introduced the Ivy compiler, which completely overhauled the internals of Angular. If you are using Angular 9 or later this breakpoint won't be hit. I tested an Angular 7, 8 and 9 app. Versions 7 & 8 hit the breakpoint, and the Angular 9 app didn't.

I would suggest using this component to debug change detection. Add it to your app and it will count change detection cycles.

debug-change-detection.component.ts:

• There are some issues with the data that require cleaning
• Extra row of text at the end of the file, which can be skipped with skiprows
• Trying to plot the data results in TypeError: no numeric data to plot, which means the data column didn't get converted to numbers
• Trying to convert the data column to a float, results in ValueError: could not convert string to float: '?0.2', which tells conveys the data column contains a '?', which can't be converted to a float.
  • df[df.min_temp.str.contains('\?')] reveals 3 rows with a '?'
  • df[df.index.isin(pd.date_range('1982-07-17', '1982-07-24')) | df.index.isin(pd.date_range('1984-07-12', '1984-07-17'))] will show the section of the dataframe surrounding the problem rows.

The article is misleading, because the double_and_add function is written for numbers, not points.

P should be a point, i.e the tuple (3,4).

You must then implement the group law. You can use the Algebraic addition formulas from you reference:

I started with your last block of code and made some edits to have a functional workflow. I answered to your questions along the code. I have taken the liberty to give you some advice and reformat your code.

The variable

The python code example you give doesn't make use of many object-oriented features, but it's not too hard to translate into Rust:

file: main.rs

The Applicative instance is lawful. In fact, it's the same instance as ComposeIO (Either e). Compositions of applicative functors are applicative (this is one of the very nice things that applicatives have that monads don't).

However, the following is also listed in the laws section of the documentation:

If f is also a Monad, it should satisfy

When you think container instance, think:

An EC2 instance configured to run containers (ECS tasks) by having the ECS agent and being part of an ECS cluster.

Essentially, ECS keeps track of the EC2 instances that have been associated with the cluster, including metadata about them. That means that in addition to being tracked as EC2 instances, they're also tracked as "Container Instances". If you have the AWS CLI installed, take a look at aws ecs describe-container-instances to see some of the metadata about container instances.

TL;DR; Just use notebook environment. Jupyter Notebook (optionally with Apache Toree kernel) or Apache Zeppelin Notebook, will work just fine and won't capture the output (this might be undesired How to get the output from console streaming sink in Zeppelin?), and allow you to make uninterrupted queries.

In standard shell setting spark.ui.showConsoleProgress to false can also help a bit: