dictionary | Pure c with epoll : A English-English dictionary | Dictionary library

by shenfeng JavaScript Version: Current License: No License

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | dictionary Summary

dictionary is a JavaScript library typically used in Utilities, Dictionary applications. dictionary has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A simple and ease to use English dictionary written in C using epoll in server side and javascript in client side. Data is extracted from LDOCE.

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Support

dictionary has a low active ecosystem.

It has 105 star(s) with 30 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

dictionary has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dictionary is current.

Quality

dictionary has 0 bugs and 0 code smells.

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.

License

dictionary does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

dictionary releases are not available. You will need to build from source code and install.

dictionary saves you 767 person hours of effort in developing the same functionality from scratch.

It has 1767 lines of code, 93 functions and 37 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

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dictionary Key Features

No Key Features are available at this moment for dictionary.

dictionary Examples and Code Snippets

Flatten a nested dictionary .

python

Lines of Code : 31

License : Non-SPDX (Apache License 2.0)

Copy

def flatten_dict_items(dictionary):
  """Returns a dictionary with flattened keys and values.

  This function flattens the keys and values of a dictionary, which can be
  arbitrarily nested structures, and returns the flattened version of such
  str

Recursively update fields in a nested dictionary .

python

Lines of Code : 21

License : Non-SPDX (Apache License 2.0)

Copy

def _pyval_update_fields(pyval, fields, depth):
  """Append the field values from `pyval` to `fields`.

  Args:
    pyval: A python `dict`, or nested list/tuple of `dict`, whose value(s)
      should be appended to `fields`.
    fields: A dictionary

Create a csv from a dictionary .

python

Lines of Code : 21

License : Non-SPDX (Apache License 2.0)

Copy

def write_csv_from_dict(filename, input_dict):
  """Writes out a `.csv` file from an input dictionary.

  After writing out the file, it checks the new list against the golden
  to make sure golden file is up-to-date.

  Args:
    filename: String th

Community Discussions

Trending Discussions on dictionary

Iterate over dictionary using comprehension to convert all datetime values to MM/DD/YYYY string

update json list from a list

General approach to parsing text with special characters from PDF using Tesseract?

Is there a way to do conditional select statements in SQLite?

Case insensitive Full Name dictionary search

How to change the key values of dictionary from random numbers to consecutive integers?

Retrieving specific data from list/dictionary

Filter dictionary whose values are arrays

How to compare a dictionary list of items with a normal list in python 3.7

Pandas: how do you map a dictionary of dictionaries to 2 columns?

QUESTION

Iterate over dictionary using comprehension to convert all datetime values to MM/DD/YYYY string

Asked 2021-Jun-16 at 02:30

I'm new to Python. I have a dictionary where some fields are dates ( datetime.datetime type) and I need to use comprehension to convert those to MM/DD/YYYY strings in a new cloned dictionary.

I was getting started with

...

ANSWER

Answered 2021-Jun-16 at 02:15

You can use a conditional expression:

Source https://stackoverflow.com/questions/67995408

QUESTION

update json list from a list

Asked 2021-Jun-15 at 21:24

how to update json list / array?

...

ANSWER

Answered 2021-May-06 at 15:35

Since your data seems simple, you can open you data using pandas, do whatever operation you need and then use to_json() function to save again.

Here is the example

Source https://stackoverflow.com/questions/67403211

QUESTION

General approach to parsing text with special characters from PDF using Tesseract?

Asked 2021-Jun-15 at 20:17

I would like to extract the definitions from the book The Navajo Language: A Grammar and Colloquial Dictionary by Young and Morgan. They look like this (very blurry):

I tried running it through the Google Cloud Vision API, and got decent results, but it doesn't know what to do with these "special" letters with accent marks on them, or the curls and lines on/through them. And because of the blurryness (there are no alternative sources of the PDF), it gets a lot of them wrong. So I'm thinking of doing it from scratch in Tesseract. Note the term is bold and the definition is not bold.

How can I use Node.js and Tesseract to get basically an array of JSON objects sort of like this:

...

ANSWER

Answered 2021-Jun-15 at 20:17

Tesseract takes a lang variable that you can expand to include different languages if they're installed. I've used the UB Mannheim (https://github.com/UB-Mannheim/tesseract/wiki) installation which includes a ton of languages supported.

To get better and more accurate results, the best thing to do is to process the image before handing it to Tesseract. Set a white/black threshold so that you have black text on white background with no shading. I'm not sure how to do this in Node, but I've done it with Python's OpenCV library.

If that font doesn't get you decent results with the out of the box, then you'll want to train your own, yes. This blog post walks through the process in great detail: https://towardsdatascience.com/simple-ocr-with-tesseract-a4341e4564b6. It revolves around using the jTessBoxEditor to hand-label the objects detected in the images you're using.

Edit: In brief, the process to train your own:

Install jTessBoxEditor (https://sourceforge.net/projects/vietocr/files/jTessBoxEditor/). Requires Java Runtime installed as well.
Collect your training images. They want to be .tiffs. I found I got fairly accurate results with not a whole lot of images that had a good sample of all the characters I wanted to detect. Maybe 30/40 images. It's tedious, so you don't want to do TOO many, but need enough in order to get a good sampling.
Use jTessBoxEditor to merge all the images into a single .tiff
Create a training label file (.box)j. This is done with Tesseract itself. tesseract your_language.font.exp0.tif your_language.font.exp0 makebox
Now you can open the box file in jTessBoxEditor and you'll see how/where it detected the characters. Bounding boxes and what character it saw. The tedious part: Hand fix all the bounding boxes and characters to accurately represent what is in the images. Not joking, it's tedious. Slap some tv episodes up and just churn through it.
Train the tesseract model itself

save a file: font_properties who's content is font 0 0 0 0 0
run the following commands:

tesseract num.font.exp0.tif font_name.font.exp0 nobatch box.train

unicharset_extractor font_name.font.exp0.box

shapeclustering -F font_properties -U unicharset -O font_name.unicharset font_name.font.exp0.tr

mftraining -F font_properties -U unicharset -O font_name.unicharset font_name.font.exp0.tr

cntraining font_name.font.exp0.tr

You should, in there close to the end see some output that looks like this:

Master shape_table:Number of shapes = 10 max unichars = 1 number with multiple unichars = 0

That number of shapes should roughly be the number of characters present in all the image files you've provided.

If it went well, you should have 4 files created: inttemp normproto pffmtable shapetable. Rename them all with the prefix of your_language from before. So e.g. your_language.inttemp etc.

Then run:

combine_tessdata your_language

The file: your_language.traineddata is the model. Copy that into your Tesseract's data folder. On Windows, it'll be like: C:\Program Files x86\tesseract\4.0\tessdata and on Linux it's probably something like /usr/shared/tesseract/4.0/tessdata.

Then when you run Tesseract, you'll pass the lang=your_language. I found best results when I still passed an existing language as well, so like for my stuff it was still English I was grabbing, just funny fonts. So I still wanted the English as well, so I'd pass: lang=your_language+eng.

Source https://stackoverflow.com/questions/67991718

QUESTION

Is there a way to do conditional select statements in SQLite?

Asked 2021-Jun-15 at 19:54

I am trying to create an app in which the user has the option to query the database by entering information into one of two entry boxes. I want to be able to use a single select statement and conditionally query the database based on what box the user enter their information into. I currently am trying to use a CASE clause, but I believe that it is running into an error when I try to include a WHERE clause in the THEN argument. Here is what I am currently working with:

...

ANSWER

Answered 2021-Jun-15 at 19:54

Move the CASE expression to the WHERE clause:

Source https://stackoverflow.com/questions/67992606

QUESTION

Case insensitive Full Name dictionary search

Asked 2021-Jun-15 at 19:48

I am creating a dictionary with "Full Name": "Birthday" for numerous people as an exercise. The program should ask "Who's birthday do you want to look up?" I will input a name, say "Benjamin Franklin" And it will return his birthday: 1706/01/17.

Alright, the problem I am encountering is name capitalization. How can I input "benjamin franklin" and still find "Benjamin Franklin" in my dictionary? I am familiar with .lower() and .upper() functions, however I am not able to implement them correctly, is that the right way to approach this problem?

Here is what I have

...

ANSWER

Answered 2021-Jun-15 at 19:48

Probably the most straight forward way I can think of to solve this is the following:

Source https://stackoverflow.com/questions/67992458

QUESTION

How to change the key values of dictionary from random numbers to consecutive integers?

Asked 2021-Jun-15 at 19:43

I have a dictionary like

...

ANSWER

Answered 2021-Jun-15 at 11:39

I would suggest recreating the dictionary using a dictionary comprehension along with enumerate.

Source https://stackoverflow.com/questions/67985272

QUESTION

Retrieving specific data from list/dictionary

Asked 2021-Jun-15 at 18:44

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]

...

ANSWER

Answered 2021-Jun-15 at 17:33

Try

Source https://stackoverflow.com/questions/67990973

QUESTION

Filter dictionary whose values are arrays

Asked 2021-Jun-15 at 18:35

I have data which looks like this:

...

ANSWER

Answered 2021-Jun-15 at 18:35

import numpy as np

features_dict = {
    'feat1': np.array([[0,1],[2,3],[4,5]]), 
    'feat2': np.array([[6,7],[8,9],[10,11]]),
    'feat3': np.array([1, 0, 0]),
    'feat4': np.array([[1],[2],[1]])
}

ind = features_dict['feat3'] == 0
features_dict = {k: v[ind] for k,v in features_dict.items()}

Source https://stackoverflow.com/questions/67991514

QUESTION

How to compare a dictionary list of items with a normal list in python 3.7

Asked 2021-Jun-15 at 17:28

I am trying to write a python code contains the string(s) present in Dictionary List to be searched in Normal List

Dictionary List:

...

ANSWER

Answered 2021-Jun-15 at 17:28

Based on you question, I think this is what you want. Let me know if it was helpful.

Source https://stackoverflow.com/questions/67990610

QUESTION

Pandas: how do you map a dictionary of dictionaries to 2 columns?

Asked 2021-Jun-15 at 15:54

I have the following dictionary of exchange rates:

...

ANSWER

Answered 2021-Jun-15 at 15:40

Using .apply

Ex:

Source https://stackoverflow.com/questions/67989170

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

Vulnerabilities

No vulnerabilities reported

Install dictionary

You can download it from GitHub.

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