All File To All File Converter 3000 License Code
Destini Armstrong
I have a create-react-app app and I am translation files from jsx to typescript. For example, one file is called /code/app_react/src/common/Action.jsx and I renamed it to /code/app_react/src/common/Action.tsx. I made the necessary changes to successfully convert it to tsx, but I am getting an error related to the name change:
I also had the problem in a React Application (started with yarn start and displayed at localhost:3000). The problem arised after renaming a component and forgetting the suffix .js. After adding the suffix .js the already started App still was searching for the file without the suffix. The solution was similar to Umanda's recommendation:
In another thread you asked about converting the differential output data of the ADS1231 to a unipolar format. I think that this is part of your confusion with the data appearing as mV instead of nV. I think it would be easier to use the codes directly output from the ADS1231 for the calculation instead of converting them to unipolar.
For the noise tables in the datasheet, the input is shorted together at mid-AVDD supply. The amount of noise is determined from the peak to peak difference in codes from 1024 samples. The formulas used are shown directly above Table 1 on page 6. If you reverse the calculations you can see the number of noise codes. Operating at 3V and 10sps, the noise-free codes is 16.8. Total resolution is 24, so the noise is 24-16.8 which is 7.2. 2^7.2 is about 147 codes peak to peak. This is a huge difference from the 1000 code no-load condition. 80sps will be worse, but not by 10000 codes. So you need to find the source of the noise. At 80sps no-load, there appears to be about 40 samples within one complete cycle which equates to about 2Hz. This can be some low frequency vibration or possibly from aliasing. Do you have any input filtering? Also noise can be picked up along cabling as the cable acts as an antenna. Eliminating noise from the measurement is not a trivial task and can be the most complicated part of the whole system design.
I have placed a 1uF cap between AINPP and AINPN and also I was using a DMM which I think was giving me some of the noises. Now I just get the 1 peak at about 31.5Hz (420th sample). Are there any areas I could have a look at to eliminate this? and does my data look more acceptable now? I get about 2400-3000 codes and using your calculations in a near perfect system like in the data sheet this should be 2^(24-15.4) = 388 codes.
You should be able to achieve very close to the datasheet numbers even with the breadboard system assuming that your prototype is cleanly dressed on the breadboard without having long wires and leads exposed. This takes some effort. If your have a bunch of wires crossing, long leads and a noisy environment then it is anybody's guess as to what you might expect. Power line-cycle noise can be picked up from lighting and this may be a contributor. Try adding 1k series resistance to each of the analog inputs prior to the differential capacitor. This should help eliminate any aliasing.
I would suggest simplifying the setup as much as possible. Perhaps checking your noise first with a voltage divider at mid-AVDD and the inputs shorted to the mid-AVDD connection. This would be the best you would be able to achieve. If you are still seeing issues then you need to discover the source. Make sure all supply connections are adequately bypassed at IC devices in your setup.
2. "I would suggest simplifying the setup as much as possible. Perhaps checking your noise first with a voltage divider at mid-AVDD and the inputs shorted to the mid-AVDD connection" I have attached my connection diagram could you please verify that this is okay? I will not be using resistors and cap labeled A,B&C for this simplification. so AINPP and AINN will be connected directly between resistor D&E
1. I am not sure I understand what you mean or how to go about it - " Make sure all supply connections are adequately bypassed at IC devices in your setup."[Bob B] These caps are the caps near the device supply pins. So this looks ok in the drawing.
2. "I would suggest simplifying the setup as much as possible. Perhaps checking your noise first with a voltage divider at mid-AVDD and the inputs shorted to the mid-AVDD connection" I have attached my connection diagram could you please verify that this is okay? I will not be using resistors and cap labeled A,B&C for this simplification. so AINPP and AINN will be connected directly between resistor D&E [Bob B] I would suggest trying it both with and without the filter components to see if there is any noise pickup due to the filter.
Does this seem like what you have described? [Bob B] Yes. One other thing I should mention is the cap at pins 5 and 6 is extremely sensitive. A high quality cap should be used and when breadboarding use very short leads.
I have connected AVDD = DVDD = VREFP = VDD = 5V (using the same DC Power supply) and VREFN=SW=GND and connected the AINP and AINN to Mid AVDD as shown on my previous post. The results I get are negative but I am not sure why the negative offset? Ignoring that, I have attached the results below & If the calculations you showed me earlier are anything to go by then I am getting quite close to the full 17.4 bits noise free at 10 sps and 15.9 noise free bits @80 sps. (I get p-p 303 codes and 114 codes which are 17.16 and 15.76 noise free bits). If all this is okay, does that mean the noise is coming from the bridge sensor? since that is the only thing I have replaced or there is more to it than that?
The result data does show a negative offset. but that is ok. The ADS1231 datasheet states that the offset is typically 10uV. This can be thousands of codes offset, so if you are seeing only a few hundred that is pretty good. Also, when connecting and calibrating the sensor, the offset is easily removed.
I have a 2001 Honda Odyssey with 90000 miles. Lat last year around Oct/Nov time frame, check engine light came on. I took my vehicle to a local Auto Zone store and they scanned the code and told me it was P0420 - bad catalytic converter.
If the engine is getting too much gas, one suspect might be a bad coolant temp sensor. If the coolant temp sensor fails to tell the computer when the engine warms up, the computer will continue to run the engine in a fuel-rich condition instead of switching to a leaner mixture after warm-up. This usually results in losing several miles per gallon off your normal fuel efficiency.
If you have a laptop and are comfortable using one you can get an OBD 2 hookup cable for not very much money. There are also free OBD 2 softwares, some that would come with the cable. Then you can add capabilities with more software but that tends to get pricey. Just search online. The basic ones check and clear codes and allow you to get a live, running look at many of the basic sensor readings including O2 sensors.
This article will walk you through its installation and configuration, as well as demonstrate its usage by implementing a color converter that can translate from RGB (red, green, blue) to hexadecimal color representation. In addition, we will create a web server that exposes the above converter and demonstrates how to test asynchronous code.
At this point, we are finished with the bootstrap process. However, we will configure one more thing to make running the test suite easier. We will set up the test command inside the package.json file, in order to run our tests simply by executing npm test from the command line.
Mocha gives us the ability to describe the features that we are implementing by giving us a describe function that encapsulates our expectations. The first argument is a simple string that describes the feature, while the second argument is a function that represents the body of the description.
In the body of our first it function, we will test the rgbToHex color converter. As its name says, it converts from a (red, green, blue) tuple to hexadecimal. We will test it by converting the basic colors. The final test/converter.js looks like:
The first description for our color converter describes an RGB to hexadecimal color conversion. It takes three arguments and returns a string that represents the color in its hexadecimal representation.
To implement the function that converts from hexadecimal to RGB representation, we will use the parseInt function with the base 16 to convert parts of the incoming strings into valid decimal RGB values.
To make a request, we will use the Request package. We need to pass two arguments to it: a URL to visit, and a function to be invoked when the request is completed. We will set up our expectations inside those callback functions.
Fortunately, Mocha gives us a nice abstraction for this issue. For every it that needs to wait for a response value, we will inject a done callback function and call it only when our expectations were executed. This way, Mocha will know it needs to wait for some of the expectations.
Continuous Integration (CI) is a software development practice where developers integrate the code into a shared repository several times a day. Having everything in a central location allows for continuous testing. CI allows us to create a short feedback loop, we know immediately the exact point where an error has been introduced..
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