dictionary | Dictionary app that can work without JavaScript | Runtime Evironment library

 by   wooorm JavaScript Version: Current License: MIT

kandi X-RAY | dictionary Summary

kandi X-RAY | dictionary Summary

dictionary is a JavaScript library typically used in Server, Runtime Evironment, Nodejs applications. dictionary has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i dictionary-pt-br' or download it from GitHub, npm.

Dictionary app that can work without JavaScript or internet.

            kandi-support Support

              dictionary has a low active ecosystem.
              It has 34 star(s) with 8 fork(s). There are 3 watchers for this library.
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 14 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of dictionary is current.

            kandi-Quality Quality

              dictionary has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              dictionary is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              dictionary releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions, examples and code snippets are available.
              It has 193 lines of code, 0 functions and 5 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed dictionary and discovered the below as its top functions. This is intended to give you an instant insight into dictionary implemented functionality, and help decide if they suit your requirements.
            • load a database
            • render error list
            • fetch cache handler
            • Generate heading node .
            • get a remote word
            • respond to the server
            • Creates the head for the given word .
            • Generates a syllables symbol .
            • Change of the word list .
            • Double click callback
            Get all kandi verified functions for this library.

            dictionary Key Features

            No Key Features are available at this moment for dictionary.

            dictionary Examples and Code Snippets

            No Code Snippets are available at this moment for dictionary.

            Community Discussions


            Unknown host CPU architecture: arm64 , Android NDK SiliconM1 Apple MacBook Pro
            Asked 2022-Apr-04 at 18:41

            I've got a project that is working fine in windows os but when I switched my laptop and opened an existing project in MacBook Pro M1. I'm unable to run an existing android project in MacBook pro M1. first I was getting

            Execution failed for task ':app:kaptDevDebugKotlin'. > A failure occurred while executing org.jetbrains.kotlin.gradle.internal.KaptExecution > java.lang.reflect.InvocationTargetException (no error message)

            this error was due to the Room database I applied a fix that was adding below library before Room database and also changed my JDK location from file structure from JRE to JDK.

            kapt "org.xerial:sqlite-jdbc:3.34.0"



            Answered 2022-Apr-04 at 18:41

            To solve this on a Apple Silicon M1 I found three options


            Use NDK 24

            Source https://stackoverflow.com/questions/69541831


            Filter a dictionary of lists
            Asked 2022-Mar-24 at 07:56

            I have a dictionary of the form:



            Answered 2022-Feb-21 at 05:50

            I believe this will work: For each list, we will filter the values where conf is negative, and after that we will filter conf itself.

            Source https://stackoverflow.com/questions/71184699


            FastAPI - GET request results in typeerror (value is not a valid dict)
            Asked 2022-Mar-23 at 22:19

            this is my database schema.

            I defined my Schema like this:

            from pydantic import BaseModel



            Answered 2022-Mar-23 at 22:19

            SQLAlchemy does not return a dictionary, which is what pydantic expects by default. You can configure your model to also support loading from standard orm parameters (i.e. attributes on the object instead of dictionary lookups):

            Source https://stackoverflow.com/questions/69504352


            Java, project panama and how to deal with Hunspell 'suggest' result
            Asked 2022-Feb-24 at 21:41

            I'm experimenting with Hunspell and how to interact with it using Java Project Panama (Build 19-panama+1-13 (2022/1/18)). I was able to get some initial testing done, as in creating a handle to Hunspell and subsequently using that to perform a spell check. I'm now trying something more elaborate, letting Hunspell give me suggestions for a word not present in the dictionary. This is the code that I have for that now:



            Answered 2022-Feb-24 at 21:41


            Explode pandas column of dictionary with list of tuples as value
            Asked 2022-Feb-03 at 21:11

            I have the following dataframe where col2 is a dictionary with a list of tuples as values. The keys are consistantly 'added' and 'deleted' in the whole dataframe.

            Input df

            col1 col2 value1 {'added': [(59, 'dep1_v2'), (60, 'dep2_v2')], 'deleted': [(59, 'dep1_v1'), (60, 'dep2_v1')]} value 2 {'added': [(61, 'dep3_v2')], 'deleted': [(61, 'dep3_v1')]}

            Here's a copy-pasteable example dataframe:



            Answered 2022-Feb-03 at 01:47

            Here's a solution. It's a little long, but it works:

            Source https://stackoverflow.com/questions/70964740


            how Julia determines index of dictionary keys?
            Asked 2022-Jan-29 at 20:05

            I confronted strange behavior in Dictionary collection in Julia. a Dictionary can be defined in Julia like this:



            Answered 2022-Jan-29 at 19:41

            The key order in Dict is currently undefined (this might change in the future).

            If you want order to be preserved use OrderedDict from DataStructures.jl:

            Source https://stackoverflow.com/questions/70909065


            Pythonic way to make a dictionary from lists of unequal length without padding Nones
            Asked 2021-Dec-17 at 09:10

            I have a list of 'Id's' that I wish to associate with a property from another list, their 'rows'. I have found a way to do it by making smaller dictionaries and concatenating them together which works, but I wondered if there was a more pythonic way to do it?




            Answered 2021-Dec-17 at 08:09

            This dict-comprehension should do it:

            Source https://stackoverflow.com/questions/70390050


            Different access time to a value of a dictionary when mixing int and str keys
            Asked 2021-Sep-21 at 10:20

            Let's say I have two dictionaries and I know want to measure the time needed to check if a key is in the dictionary. I tried to run this piece of code:



            Answered 2021-Sep-21 at 10:20

            Let me try to answer my own question. The dict implementation in CPython is optimised for lookups of str keys. Indeed, there are two different functions that are used to perform lookups:

            • lookdict is a generic dictionary lookup function that is used with all types of keys
            • lookdict_unicode is a specialised lookup function used for dictionaries composed of str-only keys

            Python will use the string-optimised version until a search for non-string data, after which the more general function is used.

            And it looks like you cannot even reverse the behaviour of a particular dict instance: once it starts using the generic function, you can't go back to using the specialised one!

            Source https://stackoverflow.com/questions/69266375


            Confusion regarding the Blocking of "peer threads" when a user-level thread blocks
            Asked 2021-Sep-07 at 10:40

            I was reading about differences between threads and processes, and literally everywhere online, one difference is commonly written without much explanation:

            If a process gets blocked, remaining processes can continue execution. If a user level thread gets blocked, all of its peer threads also get blocked.

            It doesn't make any sense to me. What would be the sense of concurrency if a scheduler cannot switch between a blocked thread and a ready/runnable thread. The reason given is that since the OS doesn't differentiate between the various threads of a given parent process, it blocks all of them at once.

            I find it very unconvincing, since all modern OS have thread control blocks with a thread ID, even if it is valid only within the memory space of the parent process. Like the example given in Galvin's Operating Systems book, I wouldn't want the thread which is handling my typing to be blocked if the spell checking thread cannot connect to some online dictionary, perhaps.

            Either I am understanding this concept wrong, or all these websites have just copied some old thread differences over the years. Moreover, I cannot find this statement in books, like Galvin's or maybe in William Stalling's COA book where threads have been discussed.

            These are resouces where I found the statements:



            Answered 2021-Aug-30 at 11:12

            There is a difference between kernel-level and user-level threads. In simple words:

            • Kernel-level threads: Threads that are managed by the operating system, including scheduling. They are what is executed on the processor. That's what probably most of us think of threads.
            • User-level threads: Threads that are managed by the program itself. They are also called fibers or coroutines in some contexts. In contrast to kernel-level threads, they need to "yield the execution", i.e. switching from one user-level to another user-level thread is done explicitly by the program. User-level threads are mapped to kernel-level threads.

            As user-level threads need to be mapped to kernel-level threads, you need to choose a suiteable mapping. You could map each user-level to a separate kernel-level thread. You could also map many user-level to one kernel-level thread. In the latter mapping, you let multiple concurrent execution paths be executed by a single thread "as we know it". If one of those paths blocks, recall that user-level threads need to yield the execution, then the executing (kernel-level) thread blocks, which causes all other assigned paths to also be effectively blocked. I think, this is what the statement refers to. FYI: In Java, user-level threads – the multithreading you do in your programs – are mapped to kernel-level threads by the JVM, i.e. the runtime system.

            Related stuff:

            Source https://stackoverflow.com/questions/68981493


            How can I document methods inherited from a metaclass?
            Asked 2021-Aug-23 at 11:50

            Consider the following metaclass/class definitions:



            Answered 2021-Aug-22 at 18:43

            I haven't looked at the rest of the stdlib, but EnumMeta accomplishes this by overriding the __dir__ method (i.e. specifying it in the EnumMeta class):

            Source https://stackoverflow.com/questions/68883042

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


            No vulnerabilities reported

            Install dictionary

            git clone, then configure a .env file with a WORDSAPI_KEY. Words API is free up to 2500 request per day, which is more than enough for trying this out.


            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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