How to use generate_text method in pyresttest

Best Python code snippet using pyresttest_python

haiku.py

Source:haiku.py Github

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...26 current_word = next_word27 28 return d 29 30def generate_text(word_dict,num_words):31 """generates new text based on the create_dictionary function"""32 y = ''33 current_word = '$'34 next_word = ''35 for x in range(num_words):36 wordlist = word_dict[current_word]37 next_word = random.choice(wordlist)38 y += ' ' + next_word39 if next_word[-1] == '.' or next_word[-1] == '?' or next_word[-1] == '!':40 current_word = '$'41 else:42 current_word = next_word43 while len(y) > 140:44 f = y.rfind(' ')45 y = y[:f]46 return str(y)47 48def count_syll(word):49 count = 050 vowels = 'aeiouy'51 word = word.lower().strip(".:;?!-")52 for i in range(1,len(word)):53 if word[i] in vowels and word[i - 1] not in vowels:54 count +=155 if word.endswith('re'):56 count += -157 if word.endswith('ce'):58 count += -159 if word.endswith('le'):60 count += 061 if word.endswith('ile'):62 count += -163 if word.endswith('ed'):64 count += -165 if word.endswith('eare'):66 count += -167 if count == 0:68 count = 169 return count70def haiku_maker(generated_txt):71 pre = generated_txt.split()72 line = ''73 count = 074 for i in range(len(pre)):75 count += count_syll(pre[i])76 if count >= 5:77 g = generated_txt.find(pre[i + 1])78 line += generated_txt[:g]+'/'79 break80 if count == 4:81 line += 'be'82 if count == 6:83 line = line[:-1]84 return line85def haiku_maker2(generated_txt):86 pre = generated_txt.split()87 line = ''88 count = 089 for i in range(len(pre)):90 count += count_syll(pre[i])91 if count >= 7:92 g = generated_txt.find(pre[i + 1])93 line += generated_txt[:g]+'/'94 break95 if count == 6:96 line += 'be'97 if count == 8:98 line = line[:-1]99 return line100def haiku_maker3(generated_txt):101 pre = generated_txt.split()102 line = ''103 count = 0104 for i in range(len(pre)):105 count += count_syll(pre[i])106 if count >= 5:107 g = generated_txt.find(pre[i + 1])108 line += generated_txt[:g]109 break110 if count == 4:111 line += 'by'112 if count == 6:113 line = line[:-1]114 return line115116CONSUMER_KEY = '9cTRuxAtJF5PGO2Z5XSnWvjBj'117CONSUMER_SECRET = 'CScnQbGKcqrldLv2QEpsleXepSyYzZA6jFYy2pa8W9au1TUIZ7'118ACCESS_KEY = '809216244289335296-HNibCDQwyLTSrUUTc4lqxfHEwAIKjMj'119ACCESS_SECRET = 'ozb5A9MN6qYH6zm3qFnB0AChFAHKJgCmPLU5KMLyCeK8z'120121auth = tweepy.OAuthHandler(CONSUMER_KEY,CONSUMER_SECRET)122auth.set_access_token(ACCESS_KEY,ACCESS_SECRET)123124api = tweepy.API(auth)125126while True:127 #generating text128 rain = create_dictionary('rain.txt')129 sun = create_dictionary('sunny.txt')130 cloud = create_dictionary('cloudy.txt')131 snow = create_dictionary('snowy.txt')132133 #generating lines134 135 sunny_line = generate_text(sun,20)136 sunny_line2 = generate_text(sun,20)137 sunny_line3 = generate_text(sun,20)138 139 rain_line = generate_text(rain,20)140 rain_line2 = generate_text(rain,20)141 rain_line3 = generate_text(rain,20)142143 cloudy_line = generate_text(cloud,20)144 cloudy_line2 = generate_text(cloud,20)145 cloudy_line3 = generate_text(cloud,20)146147 snow_line = generate_text(snow,20)148 snow_line2 = generate_text(snow,20)149 snow_line3 = generate_text(snow,20)150 151152 #stanza generation153154 stanza1 = str(haiku_maker(rain_line))155 stanza2 = str(haiku_maker2(rain_line2))156 stanza3 = str(haiku_maker3(rain_line3))157158 sun_stanza = str(haiku_maker(sunny_line))159 sun_stanza2 = str(haiku_maker2(sunny_line2))160 sun_stanza3 = str(haiku_maker3(sunny_line3))161162 cloud_stanza = str(haiku_maker(cloudy_line))163 cloud_stanza2 = str(haiku_maker2(cloudy_line2)) ...

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RandomTextGenerator.py

Source:RandomTextGenerator.py Github

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...12 # load file into memory13 with io.open(self.text_model_file_path, "r", encoding="utf8") as f:14 text = f.read()15 self.text_model = markovify.Text(text)16 # generate_text(num_strs, length) - generates number of sentences at variable length17 # params:18 # num_strs - number of strings to generate per paragraph19 # defaults: 120 # length - limit strings to a specific length21 # defaults: 0 = infinite22 # returns:23 # list of strings24 def generate_text(self, num_strs=1, length=0):25 strings = list()26 for i in range(num_strs):27 if (length == 0):28 strings.append(self.text_model.make_sentence())29 else:30 strings.append(self.text_model.make_short_sentence(length))31 return strings32# wrapper and diagprint for diagnostics for test text generation33def wrapper(func, *args, **kwargs):34 def wrapped():35 return func(*args, **kwargs)36 return wrapped37def diagprint(func, *args, **kwargs):38 wrapped = wrapper(func, *args, **kwargs)...

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generate-text.py

Source:generate-text.py Github

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1from textgenrnn import textgenrnn2outDir = "outputs"3inDir = "resource"4def generate_text(fileInput, fileOutput, lines):5 textgen = textgenrnn()6 # train the model7 textgen.train_from_file(fileInput, new_model=True, max_length=5, num_epochs=5, gen_epochs=3, word_level=True)8 # generate to file9 textgen.generate_to_file(fileOutput, n=lines)10generate_text(inDir+"/accomplishments.txt", outDir+"/accomplishments.txt", 50)11generate_text(inDir+"/built.txt", outDir+"/built.txt", 50)12generate_text(inDir+"/challenges.txt", outDir+"/challenges.txt", 50)13generate_text(inDir+"/does.txt", outDir+"/does.txt", 50)14generate_text(inDir+"/inspiration.txt", outDir+"/inspiration.txt", 50)15generate_text(inDir+"/learned.txt", outDir+"/learned.txt", 50)16generate_text(inDir+"/next.txt", outDir+"/next.txt", 50)17generate_text(inDir+"/subtitles.txt", outDir+"/subtitles.txt", 1)...

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