fasteR | Fast Lane to Learning R | Robotics library

 by   matloff R Version: Current License: No License

kandi X-RAY | fasteR Summary

kandi X-RAY | fasteR Summary

fasteR is a R library typically used in Automation, Robotics, Deep Learning applications. fasteR has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

(See notice at the end of this document regarding copyright.). This site is for those who know nothing of R, and maybe even nothing of programming, and seek QUICK, PAINLESS! entree to the world of R.
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              fasteR has a low active ecosystem.
              It has 754 star(s) with 126 fork(s). There are 33 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 6 open issues and 9 have been closed. On average issues are closed in 257 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of fasteR is current.

            kandi-Quality Quality

              fasteR has no bugs reported.

            kandi-Security Security

              fasteR has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              fasteR does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              fasteR releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of fasteR
            Get all kandi verified functions for this library.

            fasteR Key Features

            No Key Features are available at this moment for fasteR.

            fasteR Examples and Code Snippets

            Performs a faster approach using reflection .
            javadot img1Lines of Code : 8dot img1License : Permissive (MIT License)
            copy iconCopy
            public void processUsingApproachThree(Flux flux) {
                    LOGGER.info("starting approach three!");
            
                    flux.map(FooNameHelper::concatAndSubstringFooName)
                      .map(foo -> reportResult(foo, "THREE"))
                      .doOnError(error -> LOGG  
            This function will finish a faster task .
            pythondot img2Lines of Code : 4dot img2License : Permissive (MIT License)
            copy iconCopy
            def finish_faster():
                """Finish faster by sleeping less."""
                for _ in range(10):
                    time.sleep(_SLEEP_DURATION)  
            a bit faster
            javascriptdot img3Lines of Code : 1dot img3License : Permissive (MIT License)
            copy iconCopy
            function a(){return e>p&&f(m,function(t,e){return t&&l.hasOwnProperty(e)},!0)&&!l.hasOwnProperty(n)}  

            Community Discussions

            QUESTION

            Element disappearing before it is supposed to
            Asked 2021-Jun-16 at 02:50

            Recently I've been coding a clicker game and now have run into a problem with the onclick function. What I'm trying to do is on the first click, have it change into certain text, and on the second and third clicks change it to a different text. However, on the fourth click, I'd like it to disappear.

            However, it disappears on the third click instead of the fourth click. The third click is supposed to show more text, and then call a function and vamoose. It just disappears. Here is my code:

            ...

            ANSWER

            Answered 2021-Jun-15 at 20:57

            I'm going to rewrite your code because it seems to be missing something.

            In this code, I'm using a single event handler. Then using a counter and switch statement to determine the current click count.

            Source https://stackoverflow.com/questions/67993314

            QUESTION

            Extract year/month from a Pandas Timestamp column and store it in two new columns
            Asked 2021-Jun-15 at 12:46

            I have a DataFrame like this

            ...

            ANSWER

            Answered 2021-Jun-15 at 12:46

            Faster is use native pandas functions, which are vectorized, not apply solutions (because apply are loops under the hood) with accessor .dt for apply function for Series/ column:

            Source https://stackoverflow.com/questions/67986243

            QUESTION

            Fatest and elegent way to create a dict of dicts returning a list of data with repeated keys (two levels of key dict) from a 2d-list
            Asked 2021-Jun-15 at 08:39

            Sorting data from huge lists with two levels of keys is helpful for interpreting dataset and calling by couple or one level of keys some slice of data, especially when creating plots.

            I use a very naive and, I guess, inefficient way to create from a 2D-list of data a dict of dicts (two levels of keys) that returns a list of data. How to make this code more elegant, possibly faster and more readable? I guess using collection module but I didn't find a smart way.

            Example:

            ...

            ANSWER

            Answered 2021-Jun-15 at 07:35
            from itertools import groupby
            first=lambda l: l[0]
            
            def group_by_first(listo):
                grouped = groupby(sorted(listo,key=first), key=first) #  group by first elem, need to sort first
                return {k: [e[1:] for e in g] for k,g in grouped} # remove key (first elem) from values
            
            {k: group_by_first(l) for k,l in group_by_first(listo).items()} # group first elem and then by second
            

            Source https://stackoverflow.com/questions/67981688

            QUESTION

            Why is this Julia snippet so much slower than the Python equivalent? (with dictionaries)
            Asked 2021-Jun-15 at 03:46

            I have the following code in Python Jupyter:

            ...

            ANSWER

            Answered 2021-Jun-14 at 18:48

            Since you are benchmarking in a top-level scope you have to interpolate variables in @btime with $ so the way to benchmark your code is:

            Source https://stackoverflow.com/questions/67975102

            QUESTION

            what the the fastest way to save multi-layer map?
            Asked 2021-Jun-15 at 03:26

            I want to build a key-value container to save data.

            i can build a three-level unordered_map to map it, the key will be >>, but i think it's slow.

            So, I want to map into a unique int. then i can save it in one-level unordered_map

            For example:

            assume the three key is called a, b, c, a's range is [0, 1e4], b [0, 1e6] c [0, 1e5]

            i want to wirte a function like this:

            ...

            ANSWER

            Answered 2021-Jun-15 at 03:26

            unordered_map expects a hash function returning size_t, so if you're compiling a 64-bit application (as most people do except in some embedded environments), you can combine the integers trivially:

            Source https://stackoverflow.com/questions/67964336

            QUESTION

            How to mask rows of a 2D numpy matrix by values in 1D list?
            Asked 2021-Jun-15 at 00:48

            I have a 2D numpy array that looks like this:

            ...

            ANSWER

            Answered 2021-Jun-15 at 00:29

            You can use np.vectorize to achieve this. Make a function that compares the values at the appropriate index and returns a boolean.

            It would essentially do the same thing as you have now, but as you said, this would just be the NumPy implementation.

            Source https://stackoverflow.com/questions/67978532

            QUESTION

            How does the "compressed form" of `cv::convertMaps` work?
            Asked 2021-Jun-14 at 23:34

            The documentation for convertMaps says that it supports the following transformation:

            (CV_32FC1, CV_32FC1)→(CV_16SC2, CV_16UC1) This is the most frequently used conversion operation, in which the original floating-point maps (see remap) are converted to a more compact and much faster fixed-point representation. The first output array contains the rounded coordinates and the second array (created only when nninterpolation=false) contains indices in the interpolation tables.

            I understand that (CV_32FC1, CV_32FC1) is encoding (x, y) coordinates as floats. How does the fixed point format work? What is encoded in each 2-channel entry of the CV_16SC2 matrix? What interpolation tables does the CV_16UC1 matrix index into?

            ...

            ANSWER

            Answered 2021-Jun-14 at 23:34

            I'm going by what I remember from the last time I investigated this. Grain of salt and all that.

            the fixed point format splits the integer and fractional parts of your (x,y)-coordinates into different maps.

            it's "compact" in that CV_32FC2 or 2x CV_32FC1 uses 8 bytes per pixel, while CV_16SC2 + CV_16UC1 uses 6 bytes per pixel. also it's integer-only, so using it can free up floating point compute resources for other work.

            the integer parts go into the first map, which is 2-channel. no surprises there.

            the fractional parts are converted to 5-bit integers, i.e. they're multiplied by 32. then they're packed together, lowest 5 bits from one coordinate, higher next 5 bits from the other one.

            the resulting funny number has a range of 0 .. 1023, or 0b00000_00000 .. 0b11111_11111, which encodes fractional parts (0.0, 0.0) and (0.96875, 0.96875) respectively (that's 31/32).

            during remap...

            the integer map is used to look up, for every resulting pixel, several pixels in the source image required for interpolation.

            the fractional map is taken as an index into an "interpolation table", which is internal to OpenCV. it contains whatever factors and shifts required to correctly blend the several sampled pixels into one resulting pixel, all using integer math. I guess there are multiple tables, one for each interpolation method (linear, cubic, ...).

            Source https://stackoverflow.com/questions/67939327

            QUESTION

            Remove the Last Vowel in Python
            Asked 2021-Jun-14 at 22:49

            I have the following problem and I am wondering if there is a faster and cleaner implementation of the removeLastChar() function. Specifically, if one can already remove the last vowel without having to find the corresponding index first.

            PROBLEM

            Write a function that removes the last vowel in each word in a sentence.

            Examples:

            removeLastVowel("Those who dare to fail miserably can achieve greatly.")

            "Thos wh dar t fal miserbly cn achiev gretly."

            removeLastVowel("Love is a serious mental disease.")

            "Lov s serios mentl diseas"

            removeLastVowel("Get busy living or get busy dying.")

            "Gt bsy livng r gt bsy dyng"

            Notes: Vowels are: a, e, i, o, u (both upper and lowercase).

            MY SOLUTION

            A PSEUDOCODE

            1. Decompose the sentence
            2. For each word find the index of the last vowel
            3. Then remove it and make the new "word"
            4. Concatenate all the words

            CODE

            ...

            ANSWER

            Answered 2021-Jun-14 at 22:49

            This can be more easily achieved with a regex substitution that removes a vowel that's followed by zero or more consonants up to a word boundary:

            Source https://stackoverflow.com/questions/67977916

            QUESTION

            How to speed up getting data for javascript array
            Asked 2021-Jun-14 at 20:25

            I want to get the creation date of 20000 files and store it in an array.
            Total time to complete is 35 minutes, quite a long time. (Image Processing Time)
            Is there a way to create the array with faster processing time?

            Is there any problem with the current logic to get an array of file creation dates like below?
            ① Array declaration: var arr = [];
            ② I used the code below to get the file creation date:

            ...

            ANSWER

            Answered 2021-Jun-10 at 03:45

            You're using fs.statSync which is a synchronous function, meaning that every time you call it, all code execution stops until that function finishes. Look into using fs.stat (the asynchronous version), mapping over your array of filepaths, and using Promise.all.

            Using the fs.stat (the asynchronous version) function, you can start the calls of many files at a time so that it overall happens faster (because multiple files can be loaded at once without having to wait for super slow ones)

            Here's an example of what I mean, that you can run in the browser:

            Source https://stackoverflow.com/questions/67913741

            QUESTION

            C++ Optimize Memory Read Speed
            Asked 2021-Jun-14 at 20:17

            I'm creating an int (32 bit) vector with 1024 * 1024 * 1024 elements like so:

            ...

            ANSWER

            Answered 2021-Jun-14 at 17:01

            Here are some techniques.

            Loop Unrolling

            Source https://stackoverflow.com/questions/67974127

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install fasteR

            There are many tutorials on the Web for installing RStudio. [This one](https://techvidvan.com/tutorials/install-r/) is pretty good, for all major platforms.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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