people | simple HTTP/JSON API | JSON Processing library

 by   albrow Go Version: Current License: No License

kandi X-RAY | people Summary

kandi X-RAY | people Summary

people is a Go library typically used in Utilities, JSON Processing applications. people has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

People requires Go version >= 1.5 with GO15VENDOREXPERIMENT=1. As of Go 1.6 the vendor experiment is enabled by default. Run go get -u github.com/albrow/people, which will automatically install the source code into the correct location at $GOPATH/src/github.com/albrow/people. To start the server, change into the project root directory and run go run main.go. The server runs on port 3000.
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            kandi-support Support

              people has a low active ecosystem.
              It has 13 star(s) with 3 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of people is current.

            kandi-Quality Quality

              people has 0 bugs and 0 code smells.

            kandi-Security Security

              people has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              people code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              people 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

              people releases are not available. You will need to build from source code and install.
              Installation instructions are available. Examples and code snippets are not available.
              It has 148 lines of code, 8 functions and 4 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed people and discovered the below as its top functions. This is intended to give you an instant insight into people implemented functionality, and help decide if they suit your requirements.
            • Update a person
            • Main is the main function .
            • init will initialize the People Pool
            • ClosePool closes the pool
            Get all kandi verified functions for this library.

            people Key Features

            No Key Features are available at this moment for people.

            people Examples and Code Snippets

            No Code Snippets are available at this moment for people.

            Community Discussions

            QUESTION

            Why is the XOR swap optimized into a normal swap using the MOV instruction?
            Asked 2022-Mar-08 at 10:00

            While testing things around Compiler Explorer, I tried out the following overflow-free function for calculating average of 2 unsigned 32-bit integer:

            ...

            ANSWER

            Answered 2022-Mar-08 at 10:00

            Clang does the same thing. Probably for compiler-construction and CPU architecture reasons:

            • Disentangling that logic into just a swap may allow better optimization in some cases; definitely something it makes sense for a compiler to do early so it can follow values through the swap.

            • Xor-swap is total garbage for swapping registers, the only advantage being that it doesn't need a temporary. But xchg reg,reg already does that better.

            I'm not surprised that GCC's optimizer recognizes the xor-swap pattern and disentangles it to follow the original values. In general, this makes constant-propagation and value-range optimizations possible through swaps, especially for cases where the swap wasn't conditional on the values of the vars being swapped. This pattern-recognition probably happens soon after transforming the program logic to GIMPLE (SSA) representation, so at that point it will forget that the original source ever used an xor swap, and not think about emitting asm that way.

            Hopefully sometimes that lets it then optimize down to only a single mov, or two movs, depending on register allocation for the surrounding code (e.g. if one of the vars can move to a new register, instead of having to end up back in the original locations). And whether both variables are actually used later, or only one. Or if it can fully disentangle an unconditional swap, maybe no mov instructions.

            But worst case, three mov instructions needing a temporary register is still better, unless it's running out of registers. I'd guess GCC is not smart enough to use xchg reg,reg instead of spilling something else or saving/restoring another tmp reg, so there might be corner cases where this optimization actually hurts.

            (Apparently GCC -Os does have a peephole optimization to use xchg reg,reg instead of 3x mov: PR 92549 was fixed for GCC10. It looks for that quite late, during RTL -> assembly. And yes, it works here: turning your xor-swap into an xchg: https://godbolt.org/z/zs969xh47)

            xor-swap has worse latency and defeats mov-elimination

            with no memory reads, and the same number of instructions, I don't see any bad impacts and feels odd that it be changed. Clearly there is something I did not think through though, but what is it?

            Instruction count is only a rough proxy for one of three things that are relevant for perf analysis: front-end uops, latency, and back-end execution ports. (And machine-code size in bytes: x86 machine-code instructions are variable-length.)

            It's the same size in machine-code bytes, and same number of front-end uops, but the critical-path latency is worse: 3 cycles from input a to output a for xor-swap, and 2 from input b to output a, for example.

            MOV-swap has at worst 1-cycle and 2-cycle latencies from inputs to outputs, or less with mov-elimination. (Which can also avoid using back-end execution ports, especially relevant for CPUs like IvyBridge and Tiger Lake with a front-end wider than the number of integer ALU ports. And Ice Lake, except Intel disabled mov-elimination on it as an erratum workaround; not sure if it's re-enabled for Tiger Lake or not.)

            Also related:

            If you're going to branch, just duplicate the averaging code

            GCC's real missed optimization here (even with -O3) is that tail-duplication results in about the same static code size, just a couple extra bytes since these are mostly 2-byte instructions. The big win is that the a path then becomes the same length as the other, instead of twice as long to first do a swap and then run the same 3 uops for averaging.

            update: GCC will do this for you with -ftracer (https://godbolt.org/z/es7a3bEPv), optimizing away the swap. (That's only enabled manually or as part of -fprofile-use, not at -O3, so it's probably not a good idea to use all the time without PGO, potentially bloating machine code in cold functions / code-paths.)

            Doing it manually in the source (Godbolt):

            Source https://stackoverflow.com/questions/71382441

            QUESTION

            How to calculate when one's 10000 day after his or her birthday will be?
            Asked 2022-Mar-08 at 02:48

            I am wondering how to solve this problem with basic Python (no libraries to be used): How to calculate when one's 10000 day after their birthday will be (/would be). For instance, given Monday 19/05/2008 the desired day is Friday 05/10/2035 (according to https://www.durrans.com/projects/calc/10000/index.html?dob=19%2F5%2F2008&e=mc2)

            What I have done so far is the following script:

            ...

            ANSWER

            Answered 2022-Mar-06 at 18:02

            Using base python packages only

            On the basis that "no special packages" means you can only use base python packages, you can use datetime.timedelta for this type of problem:

            Source https://stackoverflow.com/questions/71371909

            QUESTION

            Under what notion of equality are typeclass laws written?
            Asked 2022-Feb-26 at 19:39

            Haskell typeclasses often come with laws; for instance, instances of Monoid are expected to observe that x <> mempty = mempty <> x = x.

            Typeclass laws are often written with single-equals (=) rather than double-equals (==). This suggests that the notion of equality used in typeclass laws is something other than that of Eq (which makes sense, since Eq is not a superclass of Monoid)

            Searching around, I was unable to find any authoritative statement on the meaning of = in typeclass laws. For instance:

            • The Haskell 2010 report does not even contain the word "law" in it
            • Speaking with other Haskell users, most people seem to believe that = usually means extensional equality or substitution but is fundamentally context-dependent. Nobody provided any authoritative source for this claim.
            • The Haskell wiki article on monad laws states that = is extensional, but, again, fails to provide a source, and I wasn't able to track down any way to contact the author of the relevant edit.

            The question, then: Is there any authoritative source on or standard for the semantics for = in typeclass laws? If so, what is it? Additionally, are there examples where the intended meaning of = is particularly exotic?

            (As a side note, treating = extensionally can get tricky. For instance, there is a Monoid (IO a) instance, but it's not really clear what extensional equality of IO values looks like.)

            ...

            ANSWER

            Answered 2022-Feb-24 at 22:30

            Typeclass laws are not part of the Haskell language, so they are not subject to the same kind of language-theoretic semantic analysis as the language itself.

            Instead, these laws are typically presented as an informal mathematical notation. Most presentations do not need a more detailed mathematical exposition, so they do not provide one.

            Source https://stackoverflow.com/questions/71258709

            QUESTION

            ERROR: Failed building wheel for numpy , ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
            Asked 2022-Feb-20 at 11:37

            I`m using python poetry(https://python-poetry.org/) for dependency management in my project.

            Though when I`m running poetry install, its giving me below error.

            ...

            ANSWER

            Answered 2022-Jan-03 at 13:24

            I solved it by doing the following steps:-

            1. I updated the pyproject.toml(This file contains all the library/dependency/dev dependency)with the numpy version that I installed using pip install numpy command.

            2. Run poetry lock to update poetry.lock file(contains details information about the library)

            3. Run poetry install again, & it should work fine.

            If you are having any problems, you can comment. I`ll try to answer it.

            Source https://stackoverflow.com/questions/70565965

            QUESTION

            What is the correct way to install Android Studio Bumblebee 2021.1.1 Patch 1
            Asked 2022-Feb-10 at 11:10

            I am sorry but I am really confused and leery now, so I am resorting to SO to get some clarity.

            I am running Android Studio Bumblebee and saw a notification about a major new release wit the following text:

            ...

            ANSWER

            Answered 2022-Feb-10 at 11:10

            This issue was fixed by Google (10 February 2022).

            You can now update Android Studio normally.

            Source https://stackoverflow.com/questions/70999801

            QUESTION

            What's the mathematical reason behind Python choosing to round integer division toward negative infinity?
            Asked 2022-Jan-30 at 01:29

            I know Python // rounds towards negative infinity and in C++ / is truncating, rounding towards 0.

            And here's what I know so far:

            ...

            ANSWER

            Answered 2022-Jan-18 at 21:46

            Although I can't provide a formal definition of why/how the rounding modes were chosen as they were, the citation about compatibility with the % operator, which you have included, does make sense when you consider that % is not quite the same thing in C++ and Python.

            In C++, it is the remainder operator, whereas, in Python, it is the modulus operator – and, when the two operands have different signs, these aren't necessarily the same thing. There are some fine explanations of the difference between these operators in the answers to: What's the difference between “mod” and “remainder”?

            Now, considering this difference, the rounding (truncation) modes for integer division have to be as they are in the two languages, to ensure that the relationship you quoted, (m/n)*n + m%n == m, remains valid.

            Here are two short programs that demonstrate this in action (please forgive my somewhat naïve Python code – I'm a beginner in that language):

            C++:

            Source https://stackoverflow.com/questions/70730831

            QUESTION

            EditorConfig control File-scoped namespace declaration
            Asked 2022-Jan-27 at 08:35

            I'm using C# 10 new feature File-scoped namespace declaration.

            I have old code like this

            ...

            ANSWER

            Answered 2021-Oct-18 at 15:27

            To control the code style in editorconfig use this line :

            To enforce this style

            Source https://stackoverflow.com/questions/69486362

            QUESTION

            Static initialization block differences between Java 13 and Java 8; with different IDE versions (netbeans 8.2 vs outdated apache netbeans 12)
            Asked 2022-Jan-25 at 14:50

            The only discernable difference between these two programs is the Java version.

            The question is: what on earth is going on?

            This image is proof that both programs contain exactly the same code, while producing different results.

            here is the code:

            ...

            ANSWER

            Answered 2022-Jan-25 at 14:49

            ANSWER: Underlying problem determined to exist in IDE's compilation/build/execution routine.

            Reinstall and update IDE, adoption of non-EOL JDK.

            Also, I did not import existing IDE settings.

            Source https://stackoverflow.com/questions/70846311

            QUESTION

            Understanding more about type_traits
            Asked 2021-Dec-14 at 16:34
            Setup

            I asked a question yesterday about template method overloading and resolving issues using type traits. I received some excellent answers, and they led me to a solution. And that solution led me to more reading.

            I landed on a page at Fluent CPP -- https://www.fluentcpp.com/2018/05/18/make-sfinae-pretty-2-hidden-beauty-sfinae/ that was interesting, and then I listened to the Stephen Dewhurst talk that Mr. Boccara references. It was all fascinating.

            I'm now trying to understand a little more. In the answers yesterday, I was given this solution:

            ...

            ANSWER

            Answered 2021-Dec-14 at 16:34

            QUESTION

            How do I melt a pandas dataframe?
            Asked 2021-Nov-04 at 09:34

            On the pandas tag, I often see users asking questions about melting dataframes in pandas. I am gonna attempt a cannonical Q&A (self-answer) with this topic.

            I am gonna clarify:

            1. What is melt?

            2. How do I use melt?

            3. When do I use melt?

            I see some hotter questions about melt, like:

            So I am gonna attempt a canonical Q&A for this topic.

            Dataset:

            I will have all my answers on this dataset of random grades for random people with random ages (easier to explain for the answers :D):

            ...

            ANSWER

            Answered 2021-Nov-04 at 09:34
            Note for users with pandas version under < 0.20.0, I will be using df.melt(...) for my examples, but your version would be too low for df.melt, you would need to use pd.melt(df, ...) instead. Documentation references:

            Most of the solutions here would be used with melt, so to know the method melt, see the documentaion explanation

            Unpivot a DataFrame from wide to long format, optionally leaving identifiers set.

            This function is useful to massage a DataFrame into a format where one or more columns are identifier variables (id_vars), while all other columns, considered measured variables (value_vars), are “unpivoted” to the row axis, leaving just two non-identifier columns, ‘variable’ and ‘value’.

            And the parameters are:

            Parameters

            • id_vars : tuple, list, or ndarray, optional

              Column(s) to use as identifier variables.

            • value_vars : tuple, list, or ndarray, optional

              Column(s) to unpivot. If not specified, uses all columns that are not set as id_vars.

            • var_name : scalar

              Name to use for the ‘variable’ column. If None it uses frame.columns.name or ‘variable’.

            • value_name : scalar, default ‘value’

              Name to use for the ‘value’ column.

            • col_level : int or str, optional

              If columns are a MultiIndex then use this level to melt.

            • ignore_index : bool, default True

              If True, original index is ignored. If False, the original index is retained. Index labels will be repeated as necessary.

              New in version 1.1.0.

            Logic to melting:

            Melting merges multiple columns and converts the dataframe from wide to long, for the solution to Problem 1 (see below), the steps are:

            1. First we got the original dataframe.

            2. Then the melt firstly merges the Math and English columns and makes the dataframe replicated (longer).

            3. Then finally adds the column Subject which is the subject of the Grades columns value respectively.

            This is the simple logic to what the melt function does.

            Solutions:

            I will solve my own questions.

            Problem 1:

            Problem 1 could be solve using pd.DataFrame.melt with the following code:

            Source https://stackoverflow.com/questions/68961796

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

            Vulnerabilities

            No vulnerabilities reported

            Install people

            People requires Go version >= 1.5 with GO15VENDOREXPERIMENT=1. As of Go 1.6 the vendor experiment is enabled by default. Run go get -u github.com/albrow/people, which will automatically install the source code into the correct location at $GOPATH/src/github.com/albrow/people. To start the server, change into the project root directory and run go run main.go. The server runs on port 3000.

            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 .
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