def buyOrSell():
print("\nAre you monitoring to BUY or SELL: ")
for idx, element in enumerate([chalk.green('BUY'), chalk.green('SELL')]):
print('{}) {}'.format(idx + 1, element))
i = input('Enter Number: ')
try:
if i == '1':
return 'BUY'
elif i == '2':
return 'SELL'
else:
return 'ERROR'
except:
print('Error: Invalid Option')
return None
def start_quiz(questions):
score = 0
for i in range(0, len(questions)):
print(questions[i]["question"] + "\n")
for j in range(1, 5):
print(str(j) + " " + questions[i]["option" + str(j)])
print()
try:
answer = int(input())
except ValueError:
print(chalk.cyan('Please enter a choice between 1 and 4\n'))
continue
print()
if 0 < answer < 5:
if (questions[i]["correct_answer"] == "option" + str(answer)):
print(chalk.green("Correct Answer!!!\n"))
score = score + 1
else:
correct_answer = questions[i]["correct_answer"]
print(
chalk.red("Wrong!! The Correct Answer is {}".format(
questions[i][correct_answer])))
print()
else:
print(chalk.yellow("Invalid Choice\n"))
print(chalk.yellow("Your Score is {}/{}".format(score, len(questions))))
def postMaker():
url = "https://api.telegram.org/<bot-key>/sendMessage"
tags = input("\nTags: ")
if tags.find('-') >= 0:
return chalk.red("\nText has a hyphen!\n")
else:
description = input("Description: ")
# TODO - add conditional check for if the URL is working
link = input("Link: ")
data = {
"chat_id": "<Chat-id>",
"text":
f"<b>Tags:</b> {tags}\n\n<b>Description:</b> {description}\n\n<b>Link:</b> {link}",
"parse_mode": "html"
}
# Send a post request to the bot's API
response = requests.post(url, data)
# Check if there's an error
if response.status_code == 200:
return chalk.green("\nThe post has been sent successfully!\n")
else:
return chalk.red("\nSomething wrong has happened\n")
def standardDeviation():
print(chalk.blue("<------------- Standard Deviation ------------->\n"))
print(chalk.green("<------------- Giga IOPS ------------->\n"))
for i in threadedIOPSResults: # For all the thread numbers
std = []
for j in threadedIOPSResults[i]:
try:
std.append((j[0] / j[1]) / 1e9)
except ZeroDivisionError:
std.append(0)
print(chalk.yellow(str(i) + " threads: " + str(np.std(std))))
print(chalk.green("\n<------------- Giga IOPS ------------->\n"))
for i in threadedFLOPSResults: # For all the thread numbers
std = []
for j in threadedFLOPSResults[i]:
try:
std.append((j[0] / j[1]) / 1e9)
except ZeroDivisionError:
std.append(0)
print(chalk.yellow(str(i) + " threads: " + str(np.std(std))))
def changeTicker():
print("If you wish to change the ticker symbol to watch, type it below")
print("Otherwise, press " + chalk.green.bold("ENTER"))
i = input(chalk.green('Enter Ticker Symbol: '))
if i == '':
pass
else:
global tickerSymbol
tickerSymbol = i
os.remove('twilioInfo.txt')
infoFile = open('twilioInfo.txt', 'a')
writeInfo = (
'Account Number: {}Account Token: {}Twilio Number: {}My Number: {}Ticker Symbol: {}'
.format(userID, authToken, twilioNumber, myNumber, tickerSymbol))
infoFile.write(writeInfo)
infoFile.close()
def report(self, msg: str,
options: MessageOptions = MessageOptions()) -> None:
if not self.flags.silent:
if options.title:
msg = "\n" + chalk.green(msg)
elif options.subtitle:
msg = "\n" + chalk.blue(msg)
elif options.block:
msg = "\n" + msg
elif self.flags.dry_run and options.action:
msg = indent_lines(msg, " (Dry run) ")
else:
msg = indent_lines(msg, " ")
if self.flags.verbosity < 2:
msg = truncate_lines(msg, 100)
print(msg)
def scrab_hn():
titleMod = []
for i, title in enumerate(titles):
titleMod.append({
'title':
chalk.blue(title.get_text()),
'score_sort':
int(scores[i - 1].get_text().replace(' points', '')),
'score':
chalk.green('- ' + scores[i - 1].get_text()),
'link':
f"\n{chalk.yellowBright(title.get('href'))}"
})
# Loop through a sorted array by score value
for i, title in enumerate(sorted(titleMod, key=lambda k: k['score_sort'])):
print(f'\n{i + 1} -', title['title'], title['score'], title['link'],
'\n\n')
return ''
def my_hook(self, d):
filename = d['filename'] #type: str
if d['status'] == 'finished':
self.bars[filename].close()
file_tuple = os.path.split(os.path.abspath(d['filename']))
#print("Done downloading {}".format(file_tuple[1]))
print(chalk.green('converting to mp3... '))
if d['status'] == 'downloading':
if filename not in self.bars:
self.bars[filename] = tqdm(
total=100,
unit='mb',
desc=filename[filename.rindex('/') +
1:filename.rindex('.')],
bar_format=chalk.white("{l_bar}") + chalk.cyan("{bar}") +
chalk.white("{r_bar}"))
p = d['_percent_str']
p = p.replace('%', '')
self.bars[filename].n = float(p) # check this
self.bars[filename].refresh()
def start_quiz(questions):
score = 0
for i in range(0, len(questions)):
print('--------------------------------------------------------')
print(f'Q{i+1}) {questions[i]["question"]}\n')
sleep(0.3)
for j in range(1, 5):
print(f"({j}) {questions[i]['option'+str(j)]:30}", end='\t')
sleep(0.2)
if not j % 2: print()
try:
answer = int(input("\nEnter your option number: "))
sleep(0.3)
if not 0 < answer < 5:
print(chalk.yellow("Please enter a choice between 1 and 4\n"))
sleep(0.4)
continue
except ValueError:
print(chalk.cyan('Invalid Choice\n'))
sleep(0.4)
continue
print()
if (questions[i]["correct_answer"] == "option" + str(answer)):
print(chalk.green("Correct Answer!!!\n"))
sleep(0.4)
score = score + 1
else:
correct_answer = questions[i]["correct_answer"]
print(
chalk.red(
f"Wrong!! The Correct Answer is {questions[i][correct_answer]}"
))
sleep(0.4)
print()
print('--------------------------------------------------------\n\n')
print(chalk.yellow(f"Your Score is {score}/{len(questions)}"))
Flower = ''
Attracts = ''
Fruit = ''
Leaf = ''
Other = ''
Tolerate = ''
Culture = ''
NoteworthyCharacteristics = ''
Problems = ''
GardenUses = ''
common_not_found = 0
common_found = 0
# Requst the plantFinder for plant based on common name
common_name_req = {'basic': commonNameOriginal}
print(chalk.green(commonNameOriginal))
time.sleep(1)
r = requests.get(
'http://www.missouribotanicalgarden.org/PlantFinder/PlantFinderProfileResults.aspx',
params=common_name_req)
# print(chalk.yellow.bold('common name search url'),r.url)
soup = BeautifulSoup(r.text, 'html.parser')
span = soup.find(id="dnn_ctr4158_SearchResults_lblNoResults")
if span:
# print(chalk.red(span.text))
if span.text == "We're sorry, but no results were found matching your criteria. Please revise your search criteria.":
print(chalk.red.bold('plant not found with common name'),
commonNameOriginal)
common_not_found = 1
with open('MBGCommonNames.csv', 'a') as writeFile:
writer = csv.writer(writeFile)
infoFile.close()
else:
infoFile = open('twilioInfo.txt', 'a')
userID = input('Enter Twilio user ID: ')
authToken = input('Enter Twilio authentication token: ')
twilioNumber = input('Enter Twilio Phone number: ')
myNumber = input('Enter your phone number: ')
tickerSymbol = input('Enter Ticker Symbol to watch: ')
writeInfo = (
'Account Number: {}\nAccount Token: {}\nTwilio Number: {}\nMy Number: {}\nTicker Symbol: {}'
.format(userID, authToken, twilioNumber, myNumber, tickerSymbol))
infoFile.write(writeInfo)
infoFile.close()
# Change stock to watch?
print('\nCurrently watching prices of {}...'.format(chalk.green(tickerSymbol)))
changeTicker()
# Choose if waiting to buy or sell
buyingOrSelling = buyOrSell()
# Set price to watch for
lowPrice = float(input(chalk.red('\nLow price to watch for?: ')))
highPrice = float(input(chalk.green('High price to watch for?: ')))
# Initialize Twilio Client
client = Client(userID, authToken)
# Initialize selenium settings
DRIVER_PATH = 'C:/webdrivers/chromedriver.exe'
options = Options()
options.headless = True
def main():
# # Specify tests for various numbers of threads
# testThreads = [i for i in range(1,200)]
testThreads = [1, 2, 4, 8]
# Specify tests for various numbers of operations
# KEEP THE RANGE (1,2) FOR SINGLE VALUE
# testInputs = [int(i * 1e4) for i in range(1,10)]
testInputs = [int(i * 1e4) for i in range(1, 100)]
totalOps = sum(testInputs) * 4
# Compile all FLOPS and IOPS functions into list and associated descriptions list
testFunctions = [
intOpsAdd, intOpsSub, intOpsMul, intOpsDiv, fpOpsAdd, fpOpsSub,
fpOpsMul, fpOpsDiv
]
testFunctionDescriptions = [
"IOPS Add", "IOPS Subtract", "IOPS Multiply", "IOPS Divide",
"FLOPS Add", "FLOPS Subtract", "FLOPS Multiply", "FLOPS Divide"
]
# RUN ALL TESTS
unthreadedResults, threadedResults = runAllTests(testInputs, testThreads,
testFunctions)
iopsUnthreadedAverage = 0
flopsUnthreadedAverage = 0
iopsThreadedAverage = {}
for i in testThreads:
iopsThreadedAverage[i] = 0
flopsThreadedAverage = {}
for i in testThreads:
flopsThreadedAverage[i] = 0
# Print unthreaded results to console
print(chalk.blue.bold("Unthreaded Results:"))
print(chalk.blue.bold("-------------------------------"))
for i in range(len(testFunctions)):
print(chalk.yellow.bold(testFunctionDescriptions[i] + " : "))
for j in range(len(unthreadedResults[i])):
if i < 4:
iopsUnthreadedAverage += (testInputs[j] /
unthreadedResults[i][j])
else:
flopsUnthreadedAverage += (testInputs[j] /
unthreadedResults[i][j])
print(
chalk.yellow(
str(testInputs[j]) + " operations took " +
str(unthreadedResults[i][j]) + " seconds"))
print(chalk.blue("-------------------------------"))
print("\n\n")
# Print threaded results to the console
print(chalk.blue.bold("Threaded Results:"))
print(chalk.blue.bold("-------------------------------"))
for i in testThreads:
print(chalk.green.bold(str(i) + " threads: "))
for j in range(len(testFunctions)):
print(chalk.yellow.bold(testFunctionDescriptions[j]) + " : ")
for k in range(len(testInputs)):
if j < 4:
iopsThreadedAverage[i] += sum(
threadedResults[i][j][testInputs[k]])
else:
flopsThreadedAverage[i] += (sum(
threadedResults[i][j][testInputs[k]]))
print(
chalk.yellow(
str(testInputs[k]) + " operations took " +
str(sum(threadedResults[i][j][testInputs[k]])) +
" seconds"))
print()
print(chalk.blue("-------------------------------"))
for i in iopsThreadedAverage:
iopsThreadedAverage[i] = totalOps / iopsThreadedAverage[i]
flopsThreadedAverage[i] = totalOps / flopsThreadedAverage[i]
print("\n\n")
# Print summary of results
print(chalk.blue.bold("Summary of Results:"))
print(chalk.blue.bold("-------------------------------"))
print(chalk.yellow.bold("Unthreaded IOPS: ") + str(iopsUnthreadedAverage))
print(
chalk.yellow.bold("Unthreaded FLOPS: ") + str(flopsUnthreadedAverage))
print(
chalk.yellow.bold("Unthreaded Giga IOPS: ") +
str(iopsUnthreadedAverage / 1e9))
print(
chalk.yellow.bold("Unthreaded Giga FLOPS: ") +
str(flopsUnthreadedAverage / 1e9))
print(chalk.blue("-------------------------------"))
print(chalk.yellow.bold("Threaded IOPS: "))
for i in testThreads:
print(chalk.green(str(i) + " threads: ") + str(iopsThreadedAverage[i]))
print(chalk.yellow.bold("Threaded FLOPS: "))
for i in testThreads:
print(
chalk.green(str(i) + " threads: ") + str(flopsThreadedAverage[i]))
print(chalk.yellow.bold("Threaded Giga IOPS: "))
for i in testThreads:
print(
chalk.green(str(i) + " threads: ") +
str(iopsThreadedAverage[i] / 1e9))
print(chalk.yellow.bold("Threaded Giga FLOPS: "))
for i in testThreads:
print(
chalk.green(str(i) + " threads: ") +
str(flopsThreadedAverage[i] / 1e9))
print(chalk.blue("-------------------------------"))
# Convert results to JSON for formatting
f = open("threadedResults.py", "w")
f.write("threadedResults = ")
f.write(json.dumps(threadedResults, indent=4))
f.write("\niops = ")
f.write(json.dumps(iopsThreadedAverage, indent=4))
f.write("\nflops = ")
f.write(json.dumps(flopsThreadedAverage, indent=4))
f.close()
r = requests.get(url)
t = filter(lambda x: x['Country'].lower() == self.name.lower(),
r.json()['Countries'])
countries = list(t)
if len(countries) == 0: return []
# This is how you delete multiple keys in an dict object.
final = {(k, v)
for k, v in countries[0].items()
if k not in ['Country', 'Slug', 'Premium']}
return final
if __name__ == "__main__":
print("------------------------------------------------")
print(chalk.red.bold("COVID SCAPE!"))
print("------------------------------------------------")
print("\n")
print("Please enter the country name.")
country_input = input()
print(f"Finding covid details for {country_input} ...")
print("\n")
c = country(country_input)
output = c.get_covid_details()
if len(output) > 0:
# print(output)
# print(tuple(output))
print(chalk.green(tabulate(output)))
else:
print(chalk.red.bold(f"Country {country_input} details not found."))
def create_output(self) -> str:
fileMessageMap = defaultdict(list)
for message in self.messages:
fileMessageMap[os.path.relpath(message.abspath)].append(message)
totalErrorCount = 0
totalWarningCount = 0
outputs = []
for (filePath, messages) in fileMessageMap.items():
fileOutputs = []
for message in messages:
location = chalk.grey(f'{filePath}:{message.line}:{message.column + 1}')
color = chalk.yellow if message.category == 'warning' else chalk.red
fileOutputs.append(f'{location} [{color(message.symbol)}] {message.msg}')
errorCount = sum(1 for message in messages if message.category != 'warning')
totalErrorCount += errorCount
warningCount = sum(1 for message in messages if message.category == 'warning')
totalWarningCount += warningCount
fileOutputString = '\n'.join(fileOutputs)
outputs.append(f'{self.get_summary(errorCount, warningCount)} in {filePath}\n{fileOutputString}\n')
output = '\n'.join(outputs)
output += f'\nFailed due to {self.get_summary(totalErrorCount, totalWarningCount)}.' if (totalErrorCount or totalWarningCount) else chalk.green('Passed.')
return output
cleanRow_02 = re.sub('\º', '', cleanRow_01)
cleanRow_03 = re.sub('\,', '.', cleanRow_02)
cleanRow_array = cleanRow_03.split(' ')
for i, cell in enumerate(cleanRow_array):
cleanRow_array[i] = float(cell)
return cleanRow_array
#
# Get dataset
datasetBuffer = open('data/raw/dataset.txt', 'r')
dataset = datasetBuffer.read()
datasetBuffer.close()
print(chalk.green('dataset getted from \'data/raw/dataset.txt\''))
#
# Get header
header = dataset.split('\n')[0]
headerSafe = re.split('\s', header)
headerSafe = list(filter(lambda h: h, headerSafe))
#
# Get rows
rows = dataset.split('\n')[1:]
rowsSafe = []
for row in rows:
rowsSafe.append(cleanRow(row)) # from cleanRow()
#
def findHeightWordInSentences(lemmatizedSentences, plantName, category,
wikiLink):
foundHeight = False
with open('plantHeightData.csv', 'a', newline='') as csvfile:
writer = csv.writer(csvfile)
for sentence in lemmatizedSentences:
for word in sentence:
if (word == 'height' or word == 'tall'):
print(chalk.green.bold('height found for'), plantName)
foundHeight = True
sentenceThatContainHeightKeyword = " ".join(
str(x) for x in sentence)
# print(sentenceThatContainHeightKeyword,'\n')
# filterdSentence = tokenizer.tokenize(sentenceThatContainHeightKeyword)
# sentenceThatContainHeightKeyword = " ".join(str(x) for x in filterdSentence)
# print("plant Name is :" ,plantName, sentenceThatContainHeightKeyword);
doc = nlp(sentenceThatContainHeightKeyword)
count = 0
plant_height_data = []
for token in doc:
t = token.text
if t == 'm' or t == 'meter' or t == 'metre' or t == 'ft' or t == 'foot' or t == 'cm' or t == 'centimetre' or t == 'in':
# if len(doc) > (token.i+1):
# next_token = doc[token.i + 1]
prev_token = doc[token.i - 1]
if prev_token.like_num:
count += 1
# print("token",token," token.i",token.i," len(doc)",len(doc))
token_sentence = doc[prev_token.i:token.i + 1]
print("case#1",
chalk.yellow.bold(token_sentence))
plant_height_data.append(token_sentence)
if doc[prev_token.i -
2].like_num: # 1 to 2 unit
count += 1
token_sentence = doc[prev_token.i -
2:token.i + 1]
print("case#2",
chalk.blue.bold(token_sentence))
plant_height_data.append(token_sentence)
else:
pass
else: #get data for case#3 x-x unit
if prev_token.is_punct == False:
token_sentence = doc[prev_token.i:token.i +
1]
print("case#3",
chalk.magenta(
token_sentence)) #x-x uni
plant_height_data.append(token_sentence)
else:
pass # do nothing if theres a punct mark
# if next_token.lower_ == "m" or next_token.lower_ == 'ft' or next_token.lower_ == 'meter' or next_token.lower_ == 'metre' or next_token.lower_ == 'cm' or next_token.lower_ == 'in' or next_token.lower_ == 'foot':
# count += 1
# token_sentence = doc[prev_token.i:next_token.i + 1]
# print('Height sentence',token_sentence)
# unit = token_sentence[len(token_sentence) - 1:len(token_sentence)]
# print(unit)
# writer.writerow([plantName,category,unit,'',token_sentence,'',wikiLink,sentenceThatContainHeightKeyword,''])
# unit cleanup
plant_height_data_str = []
plant_height_data_str_ft = ''
plant_height_data_str_cm = ''
plant_height_data_str_m = ''
plant_height_data_str_in = ''
for valueWithUnit in plant_height_data:
stringData = valueWithUnit.text
stringData = stringData.replace("-", " ")
stringData = stringData.replace("centimetre", "cm")
stringData = stringData.replace("foot", "ft")
stringData = stringData.replace("meter", "m")
stringData = stringData.replace("inch", "in")
stringData = stringData.replace('–', ' ')
stringData = stringData.replace('to', ' ')
stringData = stringData.replace(',', '')
stringData = stringData.replace('1/2', '0.5')
if stringData.find('in') > 0:
plant_height_data_str_in = plant_height_data_str_in + stringData
plant_height_data_str_in = plant_height_data_str_in.replace(
'in', '')
if stringData.find('ft') > 0:
plant_height_data_str_ft = plant_height_data_str_ft + stringData
plant_height_data_str_ft = plant_height_data_str_ft.replace(
'ft', '')
if stringData.find(' m') > 0:
plant_height_data_str_m = plant_height_data_str_m + stringData
plant_height_data_str_m = plant_height_data_str_m.replace(
'm', '')
if stringData.find(' cm') > 0:
plant_height_data_str_cm = plant_height_data_str_cm + stringData
plant_height_data_str_cm = plant_height_data_str_cm.replace(
'cm', '')
plant_height_data_str.append(stringData)
print(chalk.red(plantName), plant_height_data)
print(chalk.green(plantName), plant_height_data_str)
# inch
# remove all characters
plant_height_data_str_in = removeAlphabets(
plant_height_data_str_in)
print(chalk.yellow(plantName), 'inch values',
plant_height_data_str_in)
plant_height_data_str_in = plant_height_data_str_in.split()
try:
plant_height_data_str_in = list(
map(float, plant_height_data_str_in))
plant_height_data_str_in = sorted(
plant_height_data_str_in)
print(chalk.cyan.bold(plantName), 'inch values',
plant_height_data_str_in)
except ValueError:
pass
# ft
plant_height_data_str_ft = removeAlphabets(
plant_height_data_str_ft)
print(chalk.yellow(plantName), 'ft values',
plant_height_data_str_ft)
plant_height_data_str_ft = plant_height_data_str_ft.split()
try:
plant_height_data_str_ft = list(
map(float, plant_height_data_str_ft))
plant_height_data_str_ft = sorted(
plant_height_data_str_ft)
print(chalk.cyan.bold(plantName), 'ft values',
plant_height_data_str_ft)
except ValueError:
pass
# m
plant_height_data_str_m = removeAlphabets(
plant_height_data_str_m)
print(chalk.yellow(plantName), 'm values',
plant_height_data_str_m)
plant_height_data_str_m = plant_height_data_str_m.split()
try:
plant_height_data_str_m = list(
map(float, plant_height_data_str_m))
plant_height_data_str_m = sorted(
plant_height_data_str_m)
print(chalk.cyan.bold(plantName), 'm values',
plant_height_data_str_m)
except ValueError:
pass
# cm
plant_height_data_str_cm = removeAlphabets(
plant_height_data_str_cm)
print(chalk.yellow(plantName), 'cm values',
plant_height_data_str_cm)
plant_height_data_str_cm = plant_height_data_str_cm.split()
try:
plant_height_data_str_cm = list(
map(float, plant_height_data_str_cm))
plant_height_data_str_cm = sorted(
plant_height_data_str_cm)
print(chalk.cyan.bold(plantName), 'cm values',
plant_height_data_str_cm)
except ValueError:
pass
if (len(plant_height_data_str_in) > 0):
temp = ['x'] * 10
for index, value in enumerate(
plant_height_data_str_in):
temp[index] = value
writer.writerow([
plantName, category, 'in', temp[0], temp[1],
temp[2], temp[3], temp[4], temp[5], temp[6],
temp[7], temp[8], temp[9], wikiLink,
sentenceThatContainHeightKeyword
])
if (len(plant_height_data_str_cm) > 0):
temp = ['x'] * 10
for index, value in enumerate(
plant_height_data_str_cm):
temp[index] = value
writer.writerow([
plantName, category, 'cm', temp[0], temp[1],
temp[2], temp[3], temp[4], temp[5], temp[6],
temp[7], temp[8], temp[9], wikiLink,
sentenceThatContainHeightKeyword
])
if (len(plant_height_data_str_ft) > 0):
temp = ['x'] * 10
for index, value in enumerate(
plant_height_data_str_ft):
temp[index] = value
writer.writerow([
plantName, category, 'ft', temp[0], temp[1],
temp[2], temp[3], temp[4], temp[5], temp[6],
temp[7], temp[8], temp[9], wikiLink,
sentenceThatContainHeightKeyword
])
if (len(plant_height_data_str_m) > 0):
temp = ['x'] * 10
for index, value in enumerate(plant_height_data_str_m):
temp[index] = value
writer.writerow([
plantName, category, 'm', temp[0], temp[1],
temp[2], temp[3], temp[4], temp[5], temp[6],
temp[7], temp[8], temp[9], wikiLink,
sentenceThatContainHeightKeyword
])
# if (count > 0):
# print(count,chalk.red.bold('tokens found in'),plantName,'\n')
# else:
# writer.writerow([plantName,category,'not found','','not found','',wikiLink,sentenceThatContainHeightKeyword,''])
# print(count,chalk.red('tokens matched in'),plantName,'\n')
if (foundHeight == False):
print(chalk.red("No Height for "), plantName)
with open('plantHeightData.csv', 'a', newline='') as csvfile:
writer = csv.writer(csvfile)
writer.writerow([
plantName, category, 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x',
'x', 'x', 'x', wikiLink, 'x'
])