def wikiread(string, latit):
# preliminary section
article = string
article = urllib.quote(article)
opener = urllib2.build_opener()
opener.addheaders = [('User-agent', 'Mozilla/5.0')]
# posting http request and reading the data
try:
resource = opener.open("http://en.wikipedia.org/wiki/" + article)
except urllib2.URLError:
return NODATA
pass
data = resource.read()
resource.close()
soup = BeautifulSoup(data)
# parsing the data with BeautifulSoup
wiki_first_paragraph = soup.find('div',id="bodyContent").p
try:
wiki_latitude = conversion(soup.find('span',attrs={"class":"latitude"}).renderContents())
except AttributeError:
wiki_latitude = "N/A"
pass
try:
wiki_longitude = conversion(soup.find('span',attrs={"class":"longitude"}).renderContents())
except AttributeError:
wiki_longitude = "N/A"
pass
try:
wiki_pic = soup.find('img')['src']
except AttributeError:
wiki_pic = "N/A"
pass
# checking if the wiki_latitude is close to the initially given one
b = "N/A"
try:
diff = float(abs(wiki_latitude) - abs(latit))
if diff < GPS_FLOAT_PRECISION:
b = wiki_pic
except TypeError:
return NODATA
pass
text = lxml.html.fromstring(str(wiki_first_paragraph))
a = text.text_content()
# forming python dict for output
out = dict([('desc',a),('pic',b)])
return out
def flow_convert(event):
"""Moire to crystal data conversion Process. Call the conversion function in the conversion module for both
masks."""
if not event.inaxes == smggui.event_convert.ax:
raise Exception('Improper convert axis')
print(smggui.h_1, smggui.h_2, smggui.v_1, smggui.v_2)
conversion.conversion('Mask1', smggui.h_1, smggui.v_1, smgdata)
conversion.conversion('Mask2', smggui.h_2, smggui.v_2, smgdata)
def main(inputSentence, inputSentenceStyle, subjectHonorification):
inputSentenceStyle, subjectHonorification = int(inputSentenceStyle), int(
subjectHonorification)
sentenceType = engInputAnalysis.sentenceType(inputSentence) # 문장종류 확인
# 주체 높임법 예외처리
if sentenceType == 'command':
if subjectHonorification == 1:
if inputSentenceStyle == '해' or inputSentenceStyle == '해라':
print("error")
exit(1)
elif subjectHonorification == 0:
if inputSentenceStyle == '해요' or inputSentenceStyle == '합쇼':
print("error")
exit(1)
sentenceInfo, eng_pos = naverPapago.translate(
inputSentence) # 파파고API로 번역 및 Komoran으로 형태소 분석
sentenceInfo = komoranSpacing.Spacing(
sentenceInfo[1]) # 분석된 형태소를 이용하여 띄어쓰기 처리
# 주체 높임법 플래그, 불규칙 활용 여부 플래그 리스트에 추가
sentenceInfo.append([subjectHonorification, 0])
print(sentenceInfo, end="1\n")
conversion.conversion(sentenceInfo, eng_pos)
sentenceInfo = honorification.honorification1(
sentenceInfo) # 주체 높임에 따른 '시' 추가 및 삭제
print(sentenceInfo, end="2\n")
if inputSentenceStyle == 0:
sentenceInfo = sentenceStyle.hae(sentenceInfo, sentenceType)
elif inputSentenceStyle == 1:
sentenceInfo = sentenceStyle.haera(sentenceInfo, sentenceType)
elif inputSentenceStyle == 2:
sentenceInfo = sentenceStyle.haeyo(sentenceInfo, sentenceType)
elif inputSentenceStyle == 3:
sentenceInfo = sentenceStyle.habsyo(sentenceInfo, sentenceType)
print(sentenceInfo, end="3\n")
if sentenceInfo[2][1] == 1:
sentenceInfo = irregular.irregular(sentenceInfo)
print(sentenceInfo, end="4\n")
sentenceInfo = honorification.honorification2(sentenceInfo)
print(sentenceInfo, end="5\n")
sentenceInfo = josa.josa(sentenceInfo)
print(sentenceInfo, end="6\n")
sentenceInfo = vowelReduction.vowelReduction(sentenceInfo)
print(sentenceInfo, end="7\n")
outputSentence = hgtkTest.textCompose(sentenceInfo[0])
print(sentenceType)
print(outputSentence)
return outputSentence
def test_euro_real():
amout = 10
from_to = 'EUR'
to = 'BRL'
rate = 4.5
got = conversion(amout, from_to, to, rate)
assert got == {"valorConvertido": amout * rate, "simboloMoeda": 'R$'}
def test_real_dollar():
amout = 10
from_to = 'BRL'
to = 'USD'
rate = 4.5
got = conversion(amout, from_to, to, rate)
assert got == {"valorConvertido": amout / rate, "simboloMoeda": '$'}
datasetId = inputParameters['datasetId']
logging.info(code_srcDir)
xsdDir = glob.glob(code_srcDir + '/*.xsd')[0]
logging.info(xsdDir)
# add code_src to the sys path
sys.path.insert(0, code_srcDir)
# call the conversion code
try:
from conversion import conversion
except:
logging.info(str(traceback.format_exc()))
logging.info("conversion begin")
try:
status, messages = conversion(jobDir, code_srcDir, xsdDir, templateName, str(inputParameters['user']), datasetId)
logging.info("conversion finished")
except:
logging.error('exception occurred')
logging.error('exception: ' + str(traceback.format_exc()))
status = 'failure'
messages = ['[Conversion Error] Oops! The conversion cannot be finished! Please contact the administrator.']
logging.info("CONVERSION RESULT: " + status)
for message in messages:
logging.info("message: " + message)
# example sending error template (rough cut)
# for now the email just goes into the rest server log file: nanomine/rest/nanomine.log.gz (log file name will get fixed soon)
# templates are in rest/config/emailtemplates/JOBTYPE/TEMPLATENAME.etf (etf extension is required, but implied in POST data)
try:
#!/usr/bin/python3
import conversion as cv
import unisection as us
if __name__ == "__main__":
n = int(
input('Select menu: 1) conversion 2) union/intersection 3) exit? '))
while n != 3:
if n == 1:
a = int(input("input binary number : "), 2)
cv.conversion(a)
if n == 2:
us.unisection()
n = int(
input(
'Select menu: 1) conversion 2) union/intersection 3) exit? '))
if n == 3:
print("exit the program...")
templateName = inputParameters['templateName']
logging.info(code_srcDir)
xsdDir = glob.glob(code_srcDir + '/*.xsd')[0]
logging.info(xsdDir)
# add code_src to the sys path
sys.path.insert(0, code_srcDir)
# call the conversion code
try:
from conversion import conversion
except:
logging.info(str(traceback.format_exc()))
logging.info("conversion begin")
try:
status, messages = conversion(jobDir, code_srcDir, xsdDir, templateName)
logging.info("conversion finished")
except:
logging.error('exception occurred')
logging.error('exception: ' + str(str(traceback.format_exc())))
status = 'failure'
messages = ['[Conversion Error] Oops! The conversion cannot be finished! Please contact the administrator.']
logging.info("CONVERSION RESULT: " + status)
for message in messages:
logging.info("message: " + message)
# example sending error template (rough cut)
# for now the email just goes into the rest server log file: nanomine/rest/nanomine.log.gz (log file name will get fixed soon)
# templates are in rest/config/emailtemplates/JOBTYPE/TEMPLATENAME.etf (etf extension is required, but implied in POST data)
try:
def test_conversion(test_case):
conversion.conversion(mask, test_case['n_horizontal'],
test_case['m_vertical'], test_case['datastruct'])
assert np.all(
np.array(test_case['datastruct'].load_g(mask, 'gCuns')) ==
test_case['to_assert'])
async def root(amount: float, from_to: str, to: str, rate: float):
return conversion(amount, from_to, to, rate)
