def test_dedent_preserve_margin_tabs(self):
text = " hello there\n\thow are you?"
self.assertUnchanged(text)
# same effect even if we have 8 spaces
text = " hello there\n\thow are you?"
self.assertUnchanged(text)
# dedent() only removes whitespace that can be uniformly removed!
text = "\thello there\n\thow are you?"
expect = "hello there\nhow are you?"
self.assertEqual(expect, dedent(text))
text = " \thello there\n \thow are you?"
self.assertEqual(expect, dedent(text))
text = " \t hello there\n \t how are you?"
self.assertEqual(expect, dedent(text))
text = " \thello there\n \t how are you?"
expect = "hello there\n how are you?"
self.assertEqual(expect, dedent(text))
# test margin is smaller than smallest indent
text = " \thello there\n \thow are you?\n \tI'm fine, thanks"
expect = " \thello there\n \thow are you?\n\tI'm fine, thanks"
self.assertEqual(expect, dedent(text))
def test_dedent_uneven(self):
# Lines indented unevenly.
text = '''\
def foo():
while 1:
return foo
'''
expect = '''\
def foo():
while 1:
return foo
'''
self.assertEqual(expect, dedent(text))
# Uneven indentation with a blank line.
text = " Foo\n Bar\n\n Baz\n"
expect = "Foo\n Bar\n\n Baz\n"
self.assertEqual(expect, dedent(text))
# Uneven indentation with a whitespace-only line.
text = " Foo\n Bar\n \n Baz\n"
expect = "Foo\n Bar\n\n Baz\n"
self.assertEqual(expect, dedent(text))
# Uneven indentation with declining indent level,
# requiring downward re-estimation of margin.
text = " Foo\n Bar\n" # 5 spaces, then 4
expect = " Foo\nBar\n"
self.assertEqual(expect, dedent(text))
def test_dedent_preserve_internal_tabs(self):
text = " hello\tthere\n how are\tyou?"
expect = "hello\tthere\nhow are\tyou?"
self.assertEqual(expect, dedent(text))
# make sure that it preserves tabs when it's not making any
# changes at all
self.assertEqual(expect, dedent(expect))
def test_dedent_even(self):
# All lines indented by two spaces.
text = " Hello there.\n How are ya?\n Oh good."
expect = "Hello there.\nHow are ya?\nOh good."
self.assertEqual(expect, dedent(text))
# Same, with blank lines.
text = " Hello there.\n\n How are ya?\n Oh good.\n"
expect = "Hello there.\n\nHow are ya?\nOh good.\n"
self.assertEqual(expect, dedent(text))
# Now indent one of the blank lines.
text = " Hello there.\n \n How are ya?\n Oh good.\n"
expect = "Hello there.\n\nHow are ya?\nOh good.\n"
self.assertEqual(expect, dedent(text))
def main():
available_commands = dedent('''
available subcommands:
\tclean clean files out
\trename rename files
'''.expandtabs(2))
parser = argparse.ArgumentParser(prog='ficl', description='batch file transformer.',
epilog=available_commands, formatter_class=RawDescriptionHelpFormatter)
parser.add_argument('subcommand', type=str, help='subcommand to run')
parser.add_argument('path', type=str, help='path to target directory')
parser.add_argument('-v', '--verbose',
action='store_true', help='increase output verbosity')
parser.add_argument('-r', '--recursively',
action='store_true', help='include subdirectories')
parser.add_argument('-n', '--no-special-files',
action='store_false', help='exclude files that start with a dot')
parser.add_argument('-p', '--prefix', metavar='',
type=str, help='filename prefix')
parser.add_argument('-t', '--postfix', metavar='',
type=str, help='filename postfix')
args = parser.parse_args()
try:
globals()[args.subcommand](args)
except KeyError:
print('Unrecognized command. Use -h flag to see usage tips.')
return
def _add_enum(self, FeatureName, feature, enumObj):
values = OrderedDict()
for enumValObj in enumObj.values:
values[enumValObj.name] = enumValObj.value
enum = ArsdkEnum(enumObj.name, names=values)
enum.__doc__ = string_from_arsdkxml(enumObj.doc)
for enumvalue, enumvalueobj in zip(enum, enumObj.values):
enumvalue.__doc__ = string_from_arsdkxml(enumvalueobj.doc)
bitfield = enum._bitfield_type_
self._enums_feature[enum] = feature.name
self._enums_source[enum] = textwrap.dedent("""
class {}(ArsdkEnum):
{}
{}
""".format(
enumObj.name, '"""{}"""'.format(enum.__doc__),
"\n".join(map(lambda v: (v._name_ + " = " + str(v._value_)),
enum))))
self._enums[FeatureName][enum.__name__] = enum
self._bitfields[FeatureName][bitfield.__name__] = bitfield
self._by_feature[feature.name][enum.__name__] = enum
self._by_feature[feature.name][bitfield.__name__] = bitfield
for class_name in feature.classesByName:
prefix = class_name + "_"
if enum.__name__.startswith(prefix):
enum.__name__ = enum.__name__[len(prefix):]
self._enums[FeatureName][enum.__name__] = enum
self._by_feature[feature.name][class_name][
enum.__name__] = enum
self._by_feature[feature.name][class_name][
bitfield.__name__] = bitfield
break
def post(self, request, *args, **kwargs):
form = self.form_class(request.POST)
if form.is_valid():
response_text = textwrap.dedent('''\
<html>
<head>
<title>Issue Creada</title>
</head>
<body bgcolor="#E6E6FA">
''' + form.cleaned_data['nomUsuari'] + '''
''' + form.cleaned_data['clauUsuari'] + '''
</body>
</html>
''')
return HttpResponse(response_text)
else:
return render(request, self.template_name, {'form': form})
className="four columns",
children=[
html.Div(
className="markdown-text",
children=[
dcc.Markdown(
children=dedent(
"""
##### What am I looking at?
This app detects human faces and proper mask wearing in images and webcam
streams. Under the COVID-19 pandemic, the demand for an effective mask
detection on embedded systems of limited computing capabilities has surged.
Trained on MobileNetV2, the app is computationally efficient to deploy to
help control the spread of the disease.
##### More about this Dash app
The MFN Model is capable of detecting 3 scenarios:
(1) incorrect mask wearing, (2) correct mask wearing and (3) no mask.
The RMFD model is trained to classify 2 scenarios:
(1) mask worn and (2) no mask. To learn more about
the project, please visit the
[project repository](https://github.com/achen353/Face-Mask-Detector).
"""
)
)
],
),
html.Div(
className="control-element",
children=[
from textwrap3 import wrap
import textwrap3, nltk
filename = "E:/Eclipse/workspace/py27/temp111.txt"
filename2 = ("E:/Eclipse/workspace/py27/temp2.txt")
#data = file(filename).read() #print by letters
#data.sort()#AttributeError: 'str' object has no attribute 'sort'
data = file(filename).readlines() #<type 'list'>
#file(filename).close()
for i in range(len(data)):
print data[i]
text = "".join(data)
x = wrap(text, 60)
for i in range(len(x)):
print(x[i])
print("--------------------1-------------------------")
for i in range(len(data)):
dedented_text = textwrap3.dedent(data[i]).strip()
print dedented_text
print("---------------------2------------------------")
with open(filename2, 'r') as file1:
lines_in_file = file1.read()
nltk_tokens = nltk.word_tokenize(lines_in_file)
print nltk_tokens
print("\n")
print("Number of words:", len(nltk_tokens))
def test_roundtrip_mixed(self):
# A whitespace prefix should roundtrip with dedent
for text in self.ROUNDTRIP_CASES:
self.assertEqual(dedent(indent(text, ' \t \t ')), text)
def assertUnchanged(self, text):
"""assert that dedent() has no effect on 'text'"""
self.assertEqual(text, dedent(text))
def formattingParagraph(text):
""" formatting paragraph - remove space front of sentence """
return textwrap3.dedent(text).strip()
