flint | A Time Series Library for Apache Spark

is the video card really hard wired to the memory address C000h?

You are talking about the video BIOS, not about the screen memory?

In early IBM computers (like the "PC", the "XT" or the "AT"), the 128K addresses range from C000h:0h to D000h:FFFFh (this is the linear address range C0000h to DFFFFh) was intended for the firmware (BIOS) of add-on cards which were not supported by the "on-board" BIOS.

The first 32K (C0000h to C7FFFh) of this address range were reserved for video cards that were not supported by the on-board BIOS; the remaining 96K could be used by other types of cards (such as SCSI hard-disk controllers or network cards supporting booting from the network).

How does the BIOS Initialize the Screen?

For computers with an on-board video card, this is done by the BIOS itself. In the technical reference manual of the "IBM PCjr" (a computer sold in 1983), you'll find the source code of such a BIOS.

When the BIOS starts up the computer, it is searching for add-on cards which have a firmware in the 128K address range mentioned above.

It detects the firmware of the video card and runs this firmware.

The reason why a video card has an own firmware is simple:

Especially for video cards providing more than VGA (16 colors at 640x480 pixels and 256 colors at 320x200 pixels) the initialization sequence is depending from manufacturer to manufacturer.

So for modern computers you cannot answer the "generic" question: "How does the BIOS initialize the screen?", but you could only answer the question how this is done for a certain manufacturer.

However, I suspect that most video cards' firmwares would put the card into a state where the card behaves like a VGA card, put the card into BIOS video mode 3 (80x25 text), fill the video memory with space characters (so the screen is empty) and put the text cursor to the top left corner.

Regarding to the properties, you can find them in the OpenAPI specifition document here

E.g., for "offset", it is a property for a few actions (like TurnAction in the spec), offset: description: Offset of a coordinate in the section's polyline. type: integer

Regarding to distance, it should be in the summary section.

For a route which duration is not expected, we will need a deeper analysis. Please provide the exact API call you used in the comment, and we can run a check on that.

Also, please feel free to try our refclient here for a quick feeling of our Routing APIs and varies parameters.

It looks like buyPrice is a single float value, corresponding to 12.7 in the data you give us. Then, in your template, you're trying to iterate over it by doing for price in buyPrice, which throws the error.

Depending on what you want to do, you should either extract the pricePerUnit values into an array that you can then use in the template, or modify the template to expect only a single float value.

The problem comes from an interaction between arabtex and the apacase macro. If you make sure that all your references are already in the correct casing, you can switch off the macro like this:

UICollectionView defaults to prefetchingEnabled == YES, which means that the collection view will request cells before it needs to display them. If the app's state changes such that the cells that have already been fetched need to be displayed differently, you can implement the collectionView:willDisplayCell:forItemAtIndexPath: method to update the cell.

It looks like this is exactly your problem... you turn on a feature that should change the way the cells look, but the cells that have been fetched but which aren't visible don't get updated. Implementing collectionView:willDisplayCell:forItemAtIndexPath: should solve the problem.

If you remove the Flint$ elements from the aes call then it should work.

This works:

@obchardon is right.

numel(info.Variables) counts the number of variables in the netcdf file.

OK, the problem seems mainly caused by jupyter/spark session cache .

Restart jupyter notebook and create a fresh new spark session with {"spark.jars" : "hdfs://maskxdc/test/flint-0.6.0.jar" } solve the problem .

It actually only need config spark.jars .