discreet | Chat client implemented as Angular 2 PWA | Chat library

Looks like your import statement has a typo:

for the "k" metric:

What you are thinking about is basically another Att protocol on top of Att/GATT, but unless you think about all corner cases and extensibility, you'll get less features for more development cost.

Pros:

• no need to understand philosophy of BLE GATT,
• no need to embrace Att/GATT protocols, this will just be a transparent transport protocol.

Cons:

• need to reinvent a custom muxing protocol,
• need to allocate IDs in the custom protocol, maintain allocation,
• will reduce MTU (and it is not so big in BLE already), as you will need a few bytes for the muxing protocol,
• loss of all generic infrastructure (protocol analysers, client code, generic client APIs (think iOS/Android code), generic client apps (many generic client apps for PC, phone)),
• loss of self-descriptiveness of GATT,
• versioning more tedious to achieve (think about future firmware versions that expose more data, or expose data in another form, think about future products with slightly different featureset).

Overall, I see no good reason to do this.

GATT is a method for making Att self-descriptive. You may create custom services, with generic or custom characteristics, each of them is supposed to expose one value. This has some nice features. For each characteristic, you have:

• a type identifier (actually an UUID, either standard or custom),
• standard access methods (read, write, notify, indicate),
• standard access rights (e.g. only access after pairing),
• optional descriptors (you may specify actual encoding of data in a standard manner, add names).

You may create one or many custom services with all your "datapoints" as distinct characteristics in it. Having only one custom service with all your custom characteristics in it is perfectly fine. This is mostly application-dependent.

You'll probably have generic standard services belong-side, like battery service, device information service or software update.

See Bluetooth GATT serivce uuid overview for ID allocation scheme.

Here's a very basic implementation of a linear interpolation with an interval. You can change _interpSpeed and the interval timer to whatever you like to make the animation faster or slower. _interpSpeed is the step size and the interval timer is the step frequency (currently set to 60fps).

Just reshape your data:

maven-failsafe-plugin has no notion of "packages". The notion of "suites" is related to junit4 Suite.

To solve my problem above, I did the following:

In each "features.area" I created a "TestSuiteStub":

A standard way to generate uniformly distributed floats in [0,1) from uniformly distributed 32-bit unsigned integers is to multiply the integers with 2^-32. Obviously we wouldn't instantiate a floating-point multiplier on the FPGA just for this purpose, and we do not have to, since the multiplier is a power of two. In essence what is needed is a conversion of the integer to a floating-point number, then decrementing the exponent of the floating-point number by 32. This does not work for a zero input which has to be handled as a special case. In the ISO-C99 code below I am assuming that float is mapped to IEEE-754 binary32 type.

Other than for certain special cases, the significand of an IEEE-754 binary floating-point number is normalized to [1,2). To convert an integer into the significand, we need to normalize it, so the most significant bit is set. We can do this by counting the number of leading zero bits, then left shifting the number by that amount. The count of leading zeros is also needed to adjust the exponent.

The significand of a binary32 number comprises 24 bits, of which only 23 bits are stored; the most significant bit (the integer bit) is always one and therefore implicit. This means not all of the 32 bits of the integer can be incorporated into the binary32, so in converting a 32-bit unsigned integer one usually rounds to 24-bit precision. To simplify the implementation, in the code below I simply truncate by cutting off the least significant eight bits, which should have no noticeable effect on the uniform distribution. For the exponent part, we can combine the adjustments due to normalization step with the subtraction due to the scale factor of 2^-32.

The code below is written using hardware-centric primitives. Extracting a bit is just a question of grabbing the correct wire, and shifts by fixed amounts are likewise simply wire shifts. The circuit needed to count the number of leading zeros is typically called a priority encoder.

You can use typing.ClassVar to annotate class variables: