Pydictionary

Python Dictionary basically contains elements in the form of key-value pairs. It is an unordered collection of items. PyDictionary is an open-source python library that is used to find the meaning of the words, translation of words and sentences to different languages, and other linguistic properties of different words. PyDictionary uses wordnet for the meanings of the words and search engines for translating the words to different languages. Python Dictionary basically contains elements in the form of key-value pairs. It is an unordered collection of items.

Pydictionary
Pydictionary Api
Dictionary Of Dictionary Python
Pydictionary Tutorial

Nov 14th, 2017

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from PyDictionary import PyDictionary
import os
def get_tree_edges(tree, tree_dict=None, parent=None, edges=None):
if tree_dict None: tree_dict = tree.to_dict(sort=False)
name = next(iter(tree_dict.keys()))
edges.append((parent, name))
if isinstance(item, dict):
get_tree_edges(tree=tree, tree_dict=item, parent=name, edges=edges)
edges.append((name, item))
data = tree.to_dict()
output_file.write('strict digraph tree {n')
output_file.write(' '{0}' -> '{1}';n'.format(*row))
output_file.close()
os.system(f'dot -Tpng -otree.png {output_file.name}')
def get_definition(query): return query[list(query.keys())[0]][0]
dictionary = PyDictionary()
root_word = input('What is the root word? ').lower()
if split_len 1 and query != None:
tree.create_node(root_word, 'root')
def iterate(word, parent, words=None):
if words None: words = []
for i in range(len(root_subnodes)):
tree.create_node(root_subnodes[i], identifier, parent=parent)
if not(root_subnodes[i] in words):
words.append(root_subnodes[i])
iterate(dictionary.meaning(root_subnodes[0]), identifier, words)
render_tree(tree)

from treelib import Tree, Node from PyDictionary import PyDictionary import os def get_tree_edges(tree, tree_dict=None, parent=None, edges=None): if edges None: edges = [] if tree_dict None: tree_dict = tree.to_dict(sort=False) name = next(iter(tree_dict.keys())) if parent is not None: edges.append((parent, name)) for item in tree_dict[name]['children']: if isinstance(item, dict): get_tree_edges(tree=tree, tree_dict=item, parent=name, edges=edges) else: edges.append((name, item)) return edges def render_tree(tree): data = tree.to_dict() edges = get_tree_edges(tree) output_file = open('tree_output.dot', 'w') output_file.write('strict digraph tree {n') for row in edges: output_file.write(' '{0}' -> '{1}';n'.format(*row)) output_file.write('}') output_file.close() os.system(f'dot -Tpng -otree.png {output_file.name}') def get_definition(query): return query[list(query.keys())[0]][0] dictionary = PyDictionary() while True: root_word = input('What is the root word? ').lower() query = dictionary.meaning(root_word) split_len = len(root_word.split()) if split_len 1 and query != None: break print('Error! Invalid root word.') tree = Tree() tree.create_node(root_word, 'root') def iterate(word, parent, words=None): root_subnodes = get_definition(word).split() if words None: words = [] for i in range(len(root_subnodes)): identifier = f'{parent}_subnode_{i}' tree.create_node(root_subnodes[i], identifier, parent=parent) if not(root_subnodes[i] in words): print(root_subnodes[i]) words.append(root_subnodes[i]) iterate(dictionary.meaning(root_subnodes[0]), identifier, words) iterate(query, 'root') render_tree(tree)

Use the Jython installation jar to install Jython. Three installation modes are provided:

GUI
Text console
Command line, for automated installation

From java -jar jython-installer-2.7.0.jar --help, we can some examples of how to install Jython:

A standalone Jython jar is also provided for users who intend to embded Jython.

Pydictionary

Jython has a new launcher that is written in Python and executed by CPython 2.7. For Windows, CPython is bundled into the launcher (binjython.exe) by the PyInstaller program. For other systems, the installer determines if CPython 2.7 is available, and if so, uses CPython 2.7 to launch Jython.

You can always see the command the launcher will use via the --print option:

Often it may make more sense to directly execute Jython in this fashion.

The following environment variables do not usually have to be set, but if they are, they must be set correctly (see http://bugs.jython.org/issue2346):

Pydictionary Api

JAVA_ENCODING - Character set encoding, such as UTF-8
JAVA_MEM - Java memory (sets via -Xmx)
JAVA_OPTS - options to pass directly to Java
JAVA_STACK - Java stack size (sets via -Xss)
JAVA_HOME - Java installation directory, if set the java command is assumed to be at $JAVA_HOME/bin/java
JYTHON_HOME - Jython installation directory
JYTHON_OPTS - default command line arguments

Empty settings are currently assumed to be significant, so use unset to remove if on a Unix-like system; on Windows, you can unset an environment variable via set ENVVAR=.

Dictionary Of Dictionary Python

FIXME

Pydictionary Tutorial

More details can be found in the NEWS file, which is incorporated here: