def get_synonyms(base_word:str):
"""
returns an dict object containing pertaint information
"""
# makes the connection to the open dictionary
conn = PyDictionary(base_word)
# Downloads if base word is a singular word
if base_word.count(' ') == 0:
return conn.getSynonyms()
# if it doesn't return a defaulted word of 0 (in the same data structure)
return [{base_word: ['0']}]
def ordered_definitions(word="increase", Pydict=PyDictionary()):
word = word.capitalize()
separator = " | " # We could use 2.
dicts = meaning_paired(word, Pydict)
for k in dicts: # not k.v porque entoncesharíamos mil ciento y pico cad una repetida.
print(word + separator + k + separator + separator.join(dicts[k]))
def ordered_definitions_inlist(word="increase",
Pydict=PyDictionary()
): #Also works. Retrieves a list.
word = word.capitalize()
separator = " | " # We could use 2.
list = []
dicts = meaning_paired(word, Pydict)
for k in dicts: # not k.v porque entoncesharíamos mil ciento y pico cad una repetida.
list.append(word + separator + k + separator +
separator.join(dicts[k]))
return (list)
def voc1(lista_palabras,
Pydict=PyDictionary()): #Funciona as intended. Y capitalizada además.
## A partir de una lista de palabras devuelve el diccionario con Palabra : Lista de definiciones de esa palabra.
lista_palabras = capitalize_lista(lista_palabras) # capitalizamos.
definiciones = []
for item in lista_palabras:
# print(item)
definiciones.append(meaning2(item))
# Now we have a list withing list that contains all definitions.
diccionario = dict(zip(lista_palabras, definiciones))
return diccionario
def ordered_definitions_indict(
word="increase",
Pydict=PyDictionary()
): #Also works. Retrieves a dict with Key = Word (grammar type) , Value = Definitions separated by separator..
word = word.capitalize()
separator = " | " # We could use 2.
ids = []
defs = []
dicts = meaning_paired(word, Pydict)
for k in dicts: # not k.v porque entoncesharíamos mil ciento y pico cad una repetida.
# list.append(word + separator + k + separator + separator.join(dicts[k]) )
ids.append(word + " (" + k + ")")
defs.append(separator.join(dicts[k]))
return (dict(zip(ids, defs)))
def list_tryier(lista=["tomato", "tonto"]):
elim = []
for i in lista:
if PyDictionary.meaning(
i, disable_errors=True
) == None: # Eliminamos errores porque hace un continuo print.
elim.append(i)
else:
pass
lista_limpia = [x for x in lista if x not in elim]
print("Valores no encontrados en el diccionario: ", elim)
return (lista_limpia)
def gram_type(word="word", Pydict=PyDictionary()):
return (Pydict.meaning(word).keys()
) #Retrieves the categorical definitions.
def meaning(word="word", Pydict=PyDictionary()):
return list(Pydict.meaning(word).values())[0] #We get the definitions.
def meaning_paired(word="word", Pydict=PyDictionary()):
return Pydict.meaning(
word) #Extraemos la lista de las definiciones de la palabra.
# Updating things and installiing pydictionary.
##tengo que usar este https://pypi.org/project/PyDictionary/
import pip
# install PyDictionary
# pip.main(['install','--upgrade','setuptools'])
# pip.main(['install','PyDictionary',"string-color"]) #### This to install pydictionary 2.0.1
import pandas
from pydictionary import PyDictionary
dictionary = PyDictionary() # Hacemos un diccionario con todas las palabras.
from stringcolor import *
def meaning_paired(word="word", Pydict=PyDictionary()):
return Pydict.meaning(
word) #Extraemos la lista de las definiciones de la palabra.
def meaning(word="word", Pydict=PyDictionary()):
return list(Pydict.meaning(word).values())[0] #We get the definitions.
def gram_type(word="word", Pydict=PyDictionary()):
return (Pydict.meaning(word).keys()
) #Retrieves the categorical definitions.
print(
dictionary.meaning("increase")) #Ok, there IS a second key for Verb. Fock.