Xcode tell downloaded data file type
Please also have a look at the issue list before you create a new issue. Please provide as many information as possible to help us understand and reproduce your issue. There is also a docset for the documentation browsers Dash , Velocity , and Zeal that contains the full documentation as offline resource.
Beside the examples below, you may want to check the documentation where each function contains a separate code example e. All example files can be compiled and executed on their own e. Note that in all these cases, you never need to "tell" the compiler which JSON value type you want to use.
If you want to be explicit or express some edge cases, the functions json::array and json::object will help:. The above example can also be expressed explicitly using json::parse :. Note the library only supports UTF These operators work for any subclasses of std::istream or std::ostream.
Here is the same example with files:. Please note that setting the exception bit for failbit is inappropriate for this use case. It will result in program termination due to the noexcept specifier in use.
Since the parse function accepts arbitrary iterator ranges, you can provide your own data sources by implementing the LegacyInputIterator concept. It does not return a json value - it is up to you to decide what to do with the SAX events. In fact, it satisfies the ReversibleContainer requirement. Note that in case of multimaps only one key is used in the JSON object and the value depends on the internal order of the STL container. Instead of using JSON Pointer see above to specify values to be manipulated, it describes the changes using a syntax that closely mimics the document being modified.
You can find more details about this recommendation here. Note that char types are not automatically converted to JSON strings, but to integer numbers. A conversion to a string must be specified explicitly:. Usually, you would do something along those lines:. That's all! There are two macros to make your life easier as long as you 1 want to use a JSON object as serialization and 2 want to use the member variable names as object keys in that object:.
This requires a bit more advanced technique. But first, let's see how this conversion mechanism works:. This serializer works fine when you have control over the type's namespace.
Hijacking the boost namespace is pretty bad, and it's illegal to add something other than template specializations to std There is a way, if your type is MoveConstructible. You might want to take a look at unit-udt. Be very careful when reimplementing your serializer, you can stack overflow if you don't pay attention:. By default, enum values are serialized to JSON as integers. In some cases this could result in undesired behavior. If an enum is modified or re-ordered after data has been serialized to JSON, the later de-serialized JSON data may be undefined or a different enum value than was originally intended.
It is possible to more precisely specify how a given enum is mapped to and from JSON as shown below:. Just as in Arbitrary Type Conversions above,. Though JSON is a ubiquitous data format, it is not a very compact format suitable for data exchange, for instance over a network.
Currently, the following compilers are known to work:. GCC 4. Don't use multiline raw strings directly in macros with this compiler. To fix this, add the following to your Application.
Note this is not an issue with the code, but rather with the compiler itself. On Android, see above to build with a newer environment. For MinGW, please refer to this site and this discussion for information on how to fix this bug.
Unsupported versions of GCC and Clang are rejected by error directives. Note that you can expect no support in this case.
You need to add. Since CMake v3. It contains all the dataset used for the benchmarks. You might want to depend on a smaller repository. To allow your project to support either an externally supplied or an embedded JSON library, you can use a pattern akin to the following:. If you want the bleeding edge rather than the latest release, use brew install nlohmann-json --HEAD.
See nlohmann-json for more information. If you are using the Meson Build System , add this source tree as a meson subproject. You may also use the include. Please see the meson project for any issues regarding the packaging. The provided meson.
In Meson, it is preferred to use the dependency object with a subproject fallback, rather than using the subproject directly. Please file issues here if you experience problems with the packages. If you are using Spack to manage your dependencies, you can use the nlohmann-json package.
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Run the pod update command. The L2P data used by geodesists are generally not useable for reasons to be discussed later. Even though we analyze the data as a function of sine of elevation angle, each satellite arc is associated with a specific time period. The code keeps track of that and reports it in the final answers.
It also keeps track of the average azimuth for each rising and setting satellite arc that passes quality control tests. What do these satellite reflection zones look like? Below are photographs and reflection zone maps for two standard GNSS-IR sites, one in the northern hemisphere and one in the southern hemisphere.
Now let's look at a more complex case, station ross on Lake Superior. Here the goal is to measure water level. The map image panel A makes it clear that unlike Mitchell and Portales, we cannot use all azimuths to measure the lake. To understand our reflection zones, we need to know the approximate lake level. That is a bit tricky to know, but the photograph panel B suggests it is more than the 2 meters we used at Portales - but not too tall.
We will try 4 meters and then check later to make sure that was a good assumption. Again using the reflection zone web app, we can plot up the appropriate reflection zones for various options. You do need to plug in a RH of 4 since mean sea level would not be an appropriate reflector height value for this case. Start out with an azimuth range of 90 to degrees.
Using degree elevation angles panel C looks like it won't quite work - and going all the way to degrees in azimuth also looks it will be problematic. Panel D shows a smaller elevation angle range and cuts off azimuths at These choices appear to be better than those from Panel C.
It is also worth noting that the GPS antenna has been attached to a pier - and boats dock at piers. You might very well see outliers at this site when a boat is docked at the pier.
Once you have the code set up, it is important that you check the quality of data. This will also allow you to check on your assumptions, such as the appropriate azimuth and elevation angle mask and reflector height range. This is one of the reasons quickLook was developed. They will be listed under directories by year and sp3 or nav depending on the orbit format. Both SNR files and results will be saved here in year subdirectories.
If you are running in a bash environment, you should save these environment variables in the. If you don't define these environment variables, the code should assume your local working directory where you installed the code is where you want everything to be.
The orbits, SNR files, and periodogram results are stored in directories in year, followed by type, i. All executables must be stored in the EXE directory. There are three main codes I recommend that you install:.
Optional datatool, teqc , is highly recommended. There is a list of static executables at the bottom of this page. While I think it is better for people to download these tools to make sure you get the right one, I have written a utility that will download the appropriate files for a macOS or linux 64 bit installation.
It is called installexe. Type -h for more information. The Fortran is now included in the python build. The executable must be called gpsSNR. The executable must be called gnssSNR. In many cases Hatanaka compressed formats are used by data archives. These have a 'd' instead an 'o' at the end of the filename. A RINEX file has extraneous information in it which we will throw out - and it does not provide some of the information needed for reflectometry e.
The latter will include azimuth and elevation angles. For the latter you will need an orbit file. It will save those orbit files in case you want to use them at some later date. You can override the default orbit choice by selections given below.
The default is to save all data with elevation lower than 30 degrees this is called SNR format Another SNR choice is 99, which saves elevation angle data between 5 and A sample call for a station called p , restricted to GPS satellites, on day of year and year would be:. If not, it will check three archives unavco, sopac, and sonel to find it. This uses the hybrid translator. The Geospatial Institute of Japan uses 6 numbers to specify station names. You will be prompted for a username and password.
This will be saved on your computer for future use. Since gnssrefl only uses four character statiion names, the last four values will be used as the station name. If your station name has 9 characters lower case please , the code assumes you are looking for a RINEX 3 file.
However, my code will store the SNR data using the normal 4 character name. If you do have your own RINEX 3 files, I use the community standard, that is upper case except for the file extension which is rnx. The snr options are mostly based on the need to remove the "direct" signal. This is not related to a specific site mask and that is why the most frequently used options 99 and 66 have a maximum elevation angle of 30 degrees. The azimuth-specific mask is decided later when you run gnssir. The SNR choices are:.
We are likely to add access to multi-GNSS broadcast orbits, but for now you can use the ultra orbit option. Although it is provided every three hours, we currently only download the file from midnite hour 0. What if you are providing the RINEX files and you don't want the code to search for the files online? What if you are have high-rate e. And it also takes a long time to compute orbits for it.
For high-rate data, you should never use the python translation option. The files should be named as follows:. Some of the other parts of the very long station file name are no doubt useful, but they are not recognized by this code. The RINEX inputs are always deleted, so do not put your only copy of the files in the working directory. Before using gnssir code, I recommend you use quickLook. This allows you to quickly test various options elevation angles, frequencies, azimuths, and quality control parameters.
The required inputs are station name, year, and doy of year. In general these defaults are meant to facilitate users where the antenna is less than 5 meters tall. If your site is taller than that, you will need to override the defaults. Similarly, the default elevation angles are degrees. If that mask includes a reflection region you don't want to use, you need to override them.
For more information, use quickLook -h. As discussed earlier, there are two QC measures used in gnssrefl. One is the peak value of the peak in the periodogram. Secondly it uses a very simple peak to noise ratio pk2noise calculation. In this case the average periodogram amplitude value is calculated for a RH region that you define. For quickLook it uses the same RH region for the the "noise" region.
By default, these are L1 data only. Note that the x-axis does not go beyond 6 meters. This is because you have used the defaults. Furthermore, note that results on the x-axis begin at 0. Since you are not able to resolve very small reflector heights with this method, this region is not allowed. These periodograms give you a sense of whether there is a planar reflector below your antenna. The colors change as you try different satellites.
If the data are plotted in gray that means you have a failed reflection. The quadrants are Northwest, Northeast and so on. The top plot shows the sucessful RH retrievals in blue and unsuccessful RH retrievals in gray. In the center panel are the peak to noise ratios. The last plot is the amplitude of the spectral peak.
The dashed lines show you what QC metrics quickLook was using. If you want to look at L2C data you just change the frequency on the command line. L2C is designated by frequency L2C results are always superior to L1 results. Make a SNR file rinex2snr ross and quickLook ross -e1 5 -e2 Example for a site on an ice sheet. Example for a tall site. The required inputs are:.
The station location does not have to be cm-level for the reflections code. Within a few hundred meters is sufficient. For example:. If you happen to have the Cartesian coordinates in meters , you can set -xyz True and input those instead of lat, long, and height. Those defaults tell the code an azimuth and elevation angle mask i. Right now the default frequencies are GPS only, e.
L1, L2C and L5. You should look at it to get an idea of the kinds of inputs the code uses. The default azimuths can be changed, but this needs to be done by hand. Some parameters can be set via the command line, as in:.
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