def test_generate_phrases_with_length_limit(self):
sentences = [
"Red apples, are good in flavour.",
"Keywords, which we define as a sequence of one or more words, "
+ "provide a compact representation of a document's content",
"Criteria of compatibility of a system of linear Diophantine "
+ "equations",
"whose gloomy beams transfigured the village into a lunar "
+ "encampment of glowing houses and streets of volcanic deserts "
+ "every fifteen seconds ",
]
# Consider phrases which have minimum of 2 words and max of 4
r = Rake(min_length=2, max_length=4)
phrase_list = {
("red", "apples"),
("compact", "representation"),
("linear", "diophantine", "equations"),
("whose", "gloomy", "beams", "transfigured"),
("lunar", "encampment"),
("glowing", "houses"),
}
self.assertEqual(r._generate_phrases(sentences), phrase_list)
# Consider phrases which have minimum of 5 words and max of 5
r = Rake(min_length=5, max_length=5)
phrase_list = {("volcanic", "deserts", "every", "fifteen", "seconds")}
self.assertEqual(r._generate_phrases(sentences), phrase_list)
def test_generate_phrases_with_length_limit():
sentences = [
'Red apples, are good in flavour.',
'Keywords, which we define as a sequence of one or more words, ' +
"provide a compact representation of a document's content",
'Criteria of compatibility of a system of linear Diophantine ' +
'equations',
'whose gloomy beams transfigured the village into a lunar ' +
'encampment of glowing houses and streets of volcanic deserts ' +
'every fifteen seconds ',
]
# Consider phrases which have minimum of 2 words and max of 4
r = Rake(min_length=2, max_length=4)
phrase_list = [
('red', 'apples'),
('compact', 'representation'),
('linear', 'diophantine', 'equations'),
('whose', 'gloomy', 'beams', 'transfigured'),
('lunar', 'encampment'),
('glowing', 'houses'),
]
assert r._generate_phrases(sentences) == phrase_list
# Consider phrases which have minimum of 5 words and max of 5
r = Rake(min_length=5, max_length=5)
phrase_list = [('volcanic', 'deserts', 'every', 'fifteen', 'seconds')]
assert r._generate_phrases(sentences) == phrase_list
def test_allow_repeated_phrases():
sentences = [
'Magic systems is a company.', 'Magic systems was built in a garage'
]
expected_phrase_list_with_repetitions = [
(
'magic',
'systems',
),
('company', ),
('magic', 'systems'),
('built', ),
('garage', ),
]
expected_phrase_list_without_repetitions = [
(
'magic',
'systems',
),
('company', ),
('built', ),
('garage', ),
]
r = Rake()
assert r._generate_phrases(
sentences) == expected_phrase_list_with_repetitions
r = Rake(include_repeated_phrases=True)
assert r._generate_phrases(
sentences) == expected_phrase_list_with_repetitions
r = Rake(include_repeated_phrases=False)
assert r._generate_phrases(
sentences) == expected_phrase_list_without_repetitions
def test_generate_phrases(self):
r = Rake()
sentences = [
'Red apples, are good in flavour.',
'Keywords, which we define as a sequence of one or more words, ' +
'provide a compact representation of a document\'s content'
]
phrase_list = {('red', 'apples'), ('good', ), ('flavour', ),
('keywords', ), ('define', ), ('sequence', ), ('one', ),
('words', ), ('provide', ),
('compact', 'representation'), ('document', ),
('content', )}
self.assertEqual(r._generate_phrases(sentences), phrase_list)
def test_generate_phrases(self):
r = Rake()
sentences = [
"Red apples, are good in flavour.",
"Keywords, which we define as a sequence of one or more words, "
+ "provide a compact representation of a document's content",
"Criteria of compatibility of a system of linear Diophantine "
+ "equations",
"whose gloomy beams transfigured the village into a lunar "
+ "encampment of glowing houses and streets of volcanic deserts "
+ "every fifteen seconds ",
]
phrase_list = {
("red", "apples"),
("good",),
("flavour",),
("keywords",),
("define",),
("sequence",),
("one",),
("words",),
("provide",),
("compact", "representation"),
("document",),
("content",),
("criteria",),
("compatibility",),
("system",),
("linear", "diophantine", "equations"),
("whose", "gloomy", "beams", "transfigured"),
("volcanic", "deserts", "every", "fifteen", "seconds"),
("lunar", "encampment"),
("glowing", "houses"),
("village",),
("streets",),
}
self.assertEqual(r._generate_phrases(sentences), phrase_list)
def test_generate_phrases():
r = Rake()
sentences = [
'Red apples, are good in flavour.',
'Keywords, which we define as a sequence of one or more words, ' +
"provide a compact representation of a document's content",
'Criteria of compatibility of a system of linear Diophantine ' +
'equations',
'whose gloomy beams transfigured the village into a lunar ' +
'encampment of glowing houses and streets of volcanic deserts ' +
'every fifteen seconds ',
]
phrase_list = [
('red', 'apples'),
('good', ),
('flavour', ),
('keywords', ),
('define', ),
('sequence', ),
('one', ),
('words', ),
('provide', ),
('compact', 'representation'),
('document', ),
('content', ),
('criteria', ),
('compatibility', ),
('system', ),
('linear', 'diophantine', 'equations'),
('whose', 'gloomy', 'beams', 'transfigured'),
('village', ),
('lunar', 'encampment'),
('glowing', 'houses'),
('streets', ),
('volcanic', 'deserts', 'every', 'fifteen', 'seconds'),
]
assert r._generate_phrases(sentences) == phrase_list
if os.path.exists("downloads"):
shutil.rmtree("downloads")
if os.path.exists("final_save"):
shutil.rmtree("final_save")
r = Rake(min_length=1, max_length=1) # Uses stopwords for english from NLTK, and all punctuation characters.
text = input("Hello!\nI will find images for your keywords and translate your sentence(s) for you.\nTo look up an image for every word, seperate with periods.\n\nWrite your sentence(s) below please:\n")
lang = input("\nWhat language do you want to translate the sentence(s) to?\n")
translator= Translator(from_lang="english",to_lang=lang)
text_sentences=list(text.split("."))
usr=r._generate_phrases(text_sentences)
print(usr)
response = google_images_download.googleimagesdownload()
search_queries = (usr)
# download the images using the key words
def downloadimages(query,picture_counter):
# keywords is the search query
# format is the image file format
# limit is the number of images to be downloaded
# print urls is to print the image file url
# size is the image size which can