vocabs | lightweight online dictionary integration to the command | Dictionary library

 by   bchao1 Python Version: Current License: No License

kandi X-RAY | vocabs Summary

kandi X-RAY | vocabs Summary

vocabs is a Python library typically used in Utilities, Dictionary applications. vocabs has no vulnerabilities, it has build file available and it has low support. However vocabs has 1 bugs. You can download it from GitHub.

A lightweight online dictionary integration to the command line. No browsers. No paperbacks.
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            kandi-support Support

              vocabs has a low active ecosystem.
              It has 228 star(s) with 18 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 0 have been closed. On average issues are closed in 567 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of vocabs is current.

            kandi-Quality Quality

              vocabs has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 54 code smells.

            kandi-Security Security

              vocabs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              vocabs code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              vocabs 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

              vocabs releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              vocabs saves you 188 person hours of effort in developing the same functionality from scratch.
              It has 463 lines of code, 47 functions and 9 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed vocabs and discovered the below as its top functions. This is intended to give you an instant insight into vocabs implemented functionality, and help decide if they suit your requirements.
            • Launch the browser
            • Runs Dictionary mode
            • Parse a query
            • Returns whether the internet is on
            • Launch the bullet
            • Clear current line
            • Print a bullet
            • Move the cursor up
            • Get trending words
            • Return a list of trending words
            • Safely guard the dictionary
            • Resets the dictionary
            • Load a wordlist file
            • Clear the console console
            • Moves the cursor left
            • Prints a string to the console
            • Moves the cursor to the right
            Get all kandi verified functions for this library.

            vocabs Key Features

            No Key Features are available at this moment for vocabs.

            vocabs Examples and Code Snippets

            Loads a ckmap matrix .
            pythondot img1Lines of Code : 171dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _load_and_remap_matrix(ckpt_path,
                                       old_tensor_name,
                                       new_row_vocab_offset,
                                       num_rows_to_load,
                                       new_col_vocab_size,
                                         

            Community Discussions

            QUESTION

            RecyclerView skipping layout and lagging
            Asked 2021-Apr-14 at 10:37

            I'm sorry to ask the repeatedly answered question but I just couldn't solve this relating to my specific case, maybe I'm missing something. The error is E/RecyclerView: No adapter attached; skipping layout and I'm not sure, is the problem with an adapter I set or the RecyclerView per se? Also, I was following a tutorial and this was the code that was presented.

            (I tried brining the initRecyclerView() into the main onCreateView but no luck. Some answers say to set an empty adapter first and notify it with the changes later but I don't know how to do that.) This is my HomeFragment:

            ...

            ANSWER

            Answered 2021-Apr-14 at 10:37

            Ok, it's normal you have this message because in your code, you' ll do this :

            Source https://stackoverflow.com/questions/66696027

            QUESTION

            Multiple exceptions: Unable to start activity, Unable to instantiate fragment, Error inflating class
            Asked 2021-Feb-27 at 14:33

            I'm brand new to Kotlin and I'm following a tutorial. Running my app causes it to crash on runtime. I have three fragments, and one main activity, in a bottom navigation bar app. My goal is really just to run the app successfully so I can try out Room databases, data binding and such concepts. I searched for possible reasons why it doesn't work with me but no luck. This is the current full error message:

            ...

            ANSWER

            Answered 2021-Feb-27 at 14:33
            Caused by: java.lang.NoSuchMethodException:  []
            

            Source https://stackoverflow.com/questions/66399699

            QUESTION

            Understanding introductory example on transformers in Trax
            Asked 2020-Aug-27 at 22:20

            I am new to Machine Translation and Trax. My goal is to understand the introductory example on transformers in Trax, which can be found at https://trax-ml.readthedocs.io/en/latest/notebooks/trax_intro.html:

            ...

            ANSWER

            Answered 2020-Aug-20 at 11:05

            I found it out myself... one needs to reset the model's state. So the following code works for me:

            Source https://stackoverflow.com/questions/63491509

            QUESTION

            How to fix the error 'UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 36188: character maps to '
            Asked 2020-Aug-20 at 15:54

            I am training an AI to write a book using TensorFlow 1.14 and python 2.6.7. Whenever I run my training python code, I get the error message UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 36188: character maps to I have reinstalled TensorFlow and python as well as searched the forums to try and find an answer. The traceback leads me to a file called cp1252.py in the encodings folder

            The code I'm running is

            ...

            ANSWER

            Answered 2020-Aug-20 at 15:54

            So it turns out there was a weird character in the text file. All I had to do was replace all the weird symbols with the correct symbol. Thanks for all he help!

            Source https://stackoverflow.com/questions/63433111

            QUESTION

            How to reflect the same results as from sklearn's TfidfVectorizer?
            Asked 2020-Apr-29 at 14:46

            I am trying to build the TfidfVectorizer from scratch and I have built almost the same vectorizer as sklearn's but I am not able to get the same tf-idf scores as TfidfVectorizer.

            Here is my code:

            ...

            ANSWER

            Answered 2020-Apr-29 at 14:46
            from sklearn.feature_extraction.text import TfidfVectorizer
            from collections import Counter
            import numpy as np
            import pandas as pd
            
            def tfidf_vectorizer(corpus):
            
                terms = list(set(' '.join([i for i in corpus]).split()))
            
                terms.sort()
            
                mat = np.zeros((len(corpus), len(terms)))
            
                for i in range(len(corpus)):
            
                    tf = Counter(corpus[i].split())
            
                    for j in range(len(terms)):
            
                        df = len([document for document in corpus if terms[j] in document])
            
                        idf = 1.0 + np.log((len(corpus) + 1) / (df + 1))
            
                        mat[i, j] = tf[terms[j]] * idf
            
                return (terms, mat)
            
            corpus = ['this is the first document',
                      'this document is the second document',
                      'this one is the third']
            
            # manual calculation
            vectorizer_1 = tfidf_vectorizer(corpus)
            
            terms_1 = vectorizer_1[0]
            matrix_1 = vectorizer_1[1]
            
            # scikit-learn calculation
            vectorizer_2 = TfidfVectorizer(norm=None).fit(corpus)
            
            terms_2 = vectorizer_2.get_feature_names()
            matrix_2 = vectorizer_2.transform(corpus).toarray()
            

            Source https://stackoverflow.com/questions/61499950

            QUESTION

            How do I link strings from different arrays in Java?
            Asked 2020-Apr-16 at 14:08

            I decided to spend the lockdown refreshing my language skills and therefore wrote a learning app, including a section for learning vocabs. So I copy and pasted a few words, made an array with the language1 vocabs and one with the language2 translations, l1-array strings will be spit out randomly by the program. It's supposed to ask me for the translation, then compare it to the actual one and move the vocabs to different arrays depending on how often I got them right.

            So far so easy, but as I have over 400 vocabs, I can't link each l1string to it's l2, so I want the program to do it over the position within the array. I have two arrays:

            ...

            ANSWER

            Answered 2020-Apr-16 at 14:08

            You should be able to do the following. Please note, that I'm using Lists in this example. It is easier to remove items from them.

            Source https://stackoverflow.com/questions/61251146

            QUESTION

            Latent Dirichlet allocation (LDA) in Spark
            Asked 2020-Mar-21 at 04:02

            I am trying to write a progrma in Spark for carrying out Latent Dirichlet allocation (LDA). This Spark documentation page provides a nice example for perfroming LDA on the sample data. Below is the program

            ...

            ANSWER

            Answered 2017-Feb-23 at 17:27

            After doing some research, I am attempting to answer this question. Below is the sample code to perform LDA on a text document with real text data using Spark.

            Source https://stackoverflow.com/questions/42051184

            QUESTION

            I get isnan error when I merge two countvectorizers
            Asked 2019-May-19 at 08:16

            I'm going dialect text classification and I have this code:

            ...

            ANSWER

            Answered 2019-May-19 at 08:16

            You should union vectorizerN and vectorizerMX, not MX and XN. Change the line to

            Source https://stackoverflow.com/questions/56205728

            QUESTION

            Flutter StreamBuilder returns null from Firestore
            Asked 2019-May-14 at 18:20

            The idea is to display a string from a random document within a collection in Firebase. A simple function getRandom() retrieves the total number of documents and generates a random integer r that is fed into the Firebase instance.

            The output in the app is always null.

            ...

            ANSWER

            Answered 2019-May-14 at 18:20

            I've constructed a this piece of sample code for you to give you some options to achieve what you'd like to do:

            Source https://stackoverflow.com/questions/56131327

            QUESTION

            Apache httpd redirects from localhost not working in Docker
            Asked 2019-Mar-27 at 14:57

            To publish some ontology files I want to add redirects to w3id.org, which is simply an Apache HTTP Server, that can be configured through .htaccess files in a public GitHub repository.

            Since I am not familiar with the Apache server and HTTP redirects at all, I tried to get w3id running in a local Docker container. Therefore, I followed the instruction on the httpd Docker image and created a Dockerfile containing:

            ...

            ANSWER

            Answered 2019-Mar-27 at 14:57

            You might need to enable mod_rewrite and enable overriding with .htaccess.

            See the below Dockerfile for a working reference:

            Source https://stackoverflow.com/questions/55378642

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

            Vulnerabilities

            No vulnerabilities reported

            Install vocabs

            You can download it from GitHub.
            You can use vocabs like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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            CLONE
          • HTTPS

            https://github.com/bchao1/vocabs.git

          • CLI

            gh repo clone bchao1/vocabs

          • sshUrl

            git@github.com:bchao1/vocabs.git

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