id int32 0 252k | repo stringlengths 7 55 | path stringlengths 4 127 | func_name stringlengths 1 88 | original_string stringlengths 75 19.8k | language stringclasses 1
value | code stringlengths 75 19.8k | code_tokens list | docstring stringlengths 3 17.3k | docstring_tokens list | sha stringlengths 40 40 | url stringlengths 87 242 |
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2,000 | ampl/amplpy | amplpy/dataframe.py | DataFrame.setValues | def setValues(self, values):
"""
Set the values of a DataFrame from a dictionary.
Args:
values: Dictionary with the values to set.
"""
ncols = self.getNumCols()
nindices = self.getNumIndices()
for key, value in values.items():
key = Utils.... | python | def setValues(self, values):
"""
Set the values of a DataFrame from a dictionary.
Args:
values: Dictionary with the values to set.
"""
ncols = self.getNumCols()
nindices = self.getNumIndices()
for key, value in values.items():
key = Utils.... | [
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2,001 | ampl/amplpy | amplpy/dataframe.py | DataFrame.toDict | def toDict(self):
"""
Return a dictionary with the DataFrame data.
"""
d = {}
nindices = self.getNumIndices()
for i in range(self.getNumRows()):
row = list(self.getRowByIndex(i))
if nindices > 1:
key = tuple(row[:nindices])
... | python | def toDict(self):
"""
Return a dictionary with the DataFrame data.
"""
d = {}
nindices = self.getNumIndices()
for i in range(self.getNumRows()):
row = list(self.getRowByIndex(i))
if nindices > 1:
key = tuple(row[:nindices])
... | [
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2,002 | ampl/amplpy | amplpy/dataframe.py | DataFrame.toList | def toList(self):
"""
Return a list with the DataFrame data.
"""
if self.getNumCols() > 1:
return [
tuple(self.getRowByIndex(i))
for i in range(self.getNumRows())
]
else:
return [
self.getRowByInd... | python | def toList(self):
"""
Return a list with the DataFrame data.
"""
if self.getNumCols() > 1:
return [
tuple(self.getRowByIndex(i))
for i in range(self.getNumRows())
]
else:
return [
self.getRowByInd... | [
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2,003 | ampl/amplpy | amplpy/dataframe.py | DataFrame.toPandas | def toPandas(self):
"""
Return a pandas DataFrame with the DataFrame data.
"""
assert pd is not None
nindices = self.getNumIndices()
headers = self.getHeaders()
columns = {
header: list(self.getColumn(header))
for header in headers[nindices... | python | def toPandas(self):
"""
Return a pandas DataFrame with the DataFrame data.
"""
assert pd is not None
nindices = self.getNumIndices()
headers = self.getHeaders()
columns = {
header: list(self.getColumn(header))
for header in headers[nindices... | [
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2,004 | ampl/amplpy | amplpy/parameter.py | Parameter.set | def set(self, *args):
"""
Set the value of a single instance of this parameter.
Args:
args: value if the parameter is scalar, index and value
otherwise.
Raises:
RuntimeError: If the entity has been deleted in the underlying
AMPL.
... | python | def set(self, *args):
"""
Set the value of a single instance of this parameter.
Args:
args: value if the parameter is scalar, index and value
otherwise.
Raises:
RuntimeError: If the entity has been deleted in the underlying
AMPL.
... | [
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2,005 | ampl/amplpy | amplpy/set.py | Set.setValues | def setValues(self, values):
"""
Set the tuples in this set. Valid only for non-indexed sets.
Args:
values: A list of tuples or a :class:`~amplpy.DataFrame`.
In the case of a :class:`~amplpy.DataFrame`, the number of indexing
columns of the must be equal to the arit... | python | def setValues(self, values):
"""
Set the tuples in this set. Valid only for non-indexed sets.
Args:
values: A list of tuples or a :class:`~amplpy.DataFrame`.
In the case of a :class:`~amplpy.DataFrame`, the number of indexing
columns of the must be equal to the arit... | [
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2,006 | ampl/amplpy | amplpy/errorhandler.py | ErrorHandler.error | def error(self, amplexception):
"""
Receives notification of an error.
"""
msg = '\t'+str(amplexception).replace('\n', '\n\t')
print('Error:\n{:s}'.format(msg))
raise amplexception | python | def error(self, amplexception):
"""
Receives notification of an error.
"""
msg = '\t'+str(amplexception).replace('\n', '\n\t')
print('Error:\n{:s}'.format(msg))
raise amplexception | [
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2,007 | ampl/amplpy | amplpy/errorhandler.py | ErrorHandler.warning | def warning(self, amplexception):
"""
Receives notification of a warning.
"""
msg = '\t'+str(amplexception).replace('\n', '\n\t')
print('Warning:\n{:s}'.format(msg)) | python | def warning(self, amplexception):
"""
Receives notification of a warning.
"""
msg = '\t'+str(amplexception).replace('\n', '\n\t')
print('Warning:\n{:s}'.format(msg)) | [
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2,008 | ampl/amplpy | amplpy/utils.py | register_magics | def register_magics(store_name='_ampl_cells', ampl_object=None):
"""
Register jupyter notebook magics ``%%ampl`` and ``%%ampl_eval``.
Args:
store_name: Name of the store where ``%%ampl cells`` will be stored.
ampl_object: Object used to evaluate ``%%ampl_eval`` cells.
"""
from IPyth... | python | def register_magics(store_name='_ampl_cells', ampl_object=None):
"""
Register jupyter notebook magics ``%%ampl`` and ``%%ampl_eval``.
Args:
store_name: Name of the store where ``%%ampl cells`` will be stored.
ampl_object: Object used to evaluate ``%%ampl_eval`` cells.
"""
from IPyth... | [
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2,009 | ampl/amplpy | amplpy/variable.py | Variable.fix | def fix(self, value=None):
"""
Fix all instances of this variable to a value if provided or to
their current value otherwise.
Args:
value: value to be set.
"""
if value is None:
self._impl.fix()
else:
self._impl.fix(value) | python | def fix(self, value=None):
"""
Fix all instances of this variable to a value if provided or to
their current value otherwise.
Args:
value: value to be set.
"""
if value is None:
self._impl.fix()
else:
self._impl.fix(value) | [
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2,010 | eventable/vobject | vobject/base.py | toVName | def toVName(name, stripNum=0, upper=False):
"""
Turn a Python name into an iCalendar style name,
optionally uppercase and with characters stripped off.
"""
if upper:
name = name.upper()
if stripNum != 0:
name = name[:-stripNum]
return name.replace('_', '-') | python | def toVName(name, stripNum=0, upper=False):
"""
Turn a Python name into an iCalendar style name,
optionally uppercase and with characters stripped off.
"""
if upper:
name = name.upper()
if stripNum != 0:
name = name[:-stripNum]
return name.replace('_', '-') | [
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2,011 | eventable/vobject | vobject/base.py | readComponents | def readComponents(streamOrString, validate=False, transform=True,
ignoreUnreadable=False, allowQP=False):
"""
Generate one Component at a time from a stream.
"""
if isinstance(streamOrString, basestring):
stream = six.StringIO(streamOrString)
else:
stream = stream... | python | def readComponents(streamOrString, validate=False, transform=True,
ignoreUnreadable=False, allowQP=False):
"""
Generate one Component at a time from a stream.
"""
if isinstance(streamOrString, basestring):
stream = six.StringIO(streamOrString)
else:
stream = stream... | [
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2,012 | eventable/vobject | vobject/base.py | readOne | def readOne(stream, validate=False, transform=True, ignoreUnreadable=False,
allowQP=False):
"""
Return the first component from stream.
"""
return next(readComponents(stream, validate, transform, ignoreUnreadable,
allowQP)) | python | def readOne(stream, validate=False, transform=True, ignoreUnreadable=False,
allowQP=False):
"""
Return the first component from stream.
"""
return next(readComponents(stream, validate, transform, ignoreUnreadable,
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2,013 | eventable/vobject | vobject/base.py | registerBehavior | def registerBehavior(behavior, name=None, default=False, id=None):
"""
Register the given behavior.
If default is True (or if this is the first version registered with this
name), the version will be the default if no id is given.
"""
if not name:
name = behavior.name.upper()
if id ... | python | def registerBehavior(behavior, name=None, default=False, id=None):
"""
Register the given behavior.
If default is True (or if this is the first version registered with this
name), the version will be the default if no id is given.
"""
if not name:
name = behavior.name.upper()
if id ... | [
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2,014 | eventable/vobject | vobject/base.py | getBehavior | def getBehavior(name, id=None):
"""
Return a matching behavior if it exists, or None.
If id is None, return the default for name.
"""
name = name.upper()
if name in __behaviorRegistry:
if id:
for n, behavior in __behaviorRegistry[name]:
if n == id:
... | python | def getBehavior(name, id=None):
"""
Return a matching behavior if it exists, or None.
If id is None, return the default for name.
"""
name = name.upper()
if name in __behaviorRegistry:
if id:
for n, behavior in __behaviorRegistry[name]:
if n == id:
... | [
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2,015 | eventable/vobject | vobject/base.py | VBase.validate | def validate(self, *args, **kwds):
"""
Call the behavior's validate method, or return True.
"""
if self.behavior:
return self.behavior.validate(self, *args, **kwds)
return True | python | def validate(self, *args, **kwds):
"""
Call the behavior's validate method, or return True.
"""
if self.behavior:
return self.behavior.validate(self, *args, **kwds)
return True | [
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2,016 | eventable/vobject | vobject/base.py | VBase.autoBehavior | def autoBehavior(self, cascade=False):
"""
Set behavior if name is in self.parentBehavior.knownChildren.
If cascade is True, unset behavior and parentBehavior for all
descendants, then recalculate behavior and parentBehavior.
"""
parentBehavior = self.parentBehavior
... | python | def autoBehavior(self, cascade=False):
"""
Set behavior if name is in self.parentBehavior.knownChildren.
If cascade is True, unset behavior and parentBehavior for all
descendants, then recalculate behavior and parentBehavior.
"""
parentBehavior = self.parentBehavior
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2,017 | eventable/vobject | vobject/base.py | VBase.setBehavior | def setBehavior(self, behavior, cascade=True):
"""
Set behavior. If cascade is True, autoBehavior all descendants.
"""
self.behavior = behavior
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for obj in self.getChildren():
obj.parentBehavior = behavior
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"""
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2,018 | eventable/vobject | vobject/base.py | VBase.serialize | def serialize(self, buf=None, lineLength=75, validate=True, behavior=None):
"""
Serialize to buf if it exists, otherwise return a string.
Use self.behavior.serialize if behavior exists.
"""
if not behavior:
behavior = self.behavior
if behavior:
i... | python | def serialize(self, buf=None, lineLength=75, validate=True, behavior=None):
"""
Serialize to buf if it exists, otherwise return a string.
Use self.behavior.serialize if behavior exists.
"""
if not behavior:
behavior = self.behavior
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2,019 | eventable/vobject | vobject/base.py | ContentLine.valueRepr | def valueRepr(self):
"""
Transform the representation of the value
according to the behavior, if any.
"""
v = self.value
if self.behavior:
v = self.behavior.valueRepr(self)
return v | python | def valueRepr(self):
"""
Transform the representation of the value
according to the behavior, if any.
"""
v = self.value
if self.behavior:
v = self.behavior.valueRepr(self)
return v | [
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2,020 | eventable/vobject | vobject/base.py | Component.setProfile | def setProfile(self, name):
"""
Assign a PROFILE to this unnamed component.
Used by vCard, not by vCalendar.
"""
if self.name or self.useBegin:
if self.name == name:
return
raise VObjectError("This component already has a PROFILE or "
... | python | def setProfile(self, name):
"""
Assign a PROFILE to this unnamed component.
Used by vCard, not by vCalendar.
"""
if self.name or self.useBegin:
if self.name == name:
return
raise VObjectError("This component already has a PROFILE or "
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2,021 | eventable/vobject | vobject/base.py | Component.add | def add(self, objOrName, group=None):
"""
Add objOrName to contents, set behavior if it can be inferred.
If objOrName is a string, create an empty component or line based on
behavior. If no behavior is found for the object, add a ContentLine.
group is an optional prefix to the ... | python | def add(self, objOrName, group=None):
"""
Add objOrName to contents, set behavior if it can be inferred.
If objOrName is a string, create an empty component or line based on
behavior. If no behavior is found for the object, add a ContentLine.
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2,022 | eventable/vobject | vobject/base.py | Component.remove | def remove(self, obj):
"""
Remove obj from contents.
"""
named = self.contents.get(obj.name.lower())
if named:
try:
named.remove(obj)
if len(named) == 0:
del self.contents[obj.name.lower()]
except ValueEr... | python | def remove(self, obj):
"""
Remove obj from contents.
"""
named = self.contents.get(obj.name.lower())
if named:
try:
named.remove(obj)
if len(named) == 0:
del self.contents[obj.name.lower()]
except ValueEr... | [
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2,023 | eventable/vobject | vobject/base.py | Component.setBehaviorFromVersionLine | def setBehaviorFromVersionLine(self, versionLine):
"""
Set behavior if one matches name, versionLine.value.
"""
v = getBehavior(self.name, versionLine.value)
if v:
self.setBehavior(v) | python | def setBehaviorFromVersionLine(self, versionLine):
"""
Set behavior if one matches name, versionLine.value.
"""
v = getBehavior(self.name, versionLine.value)
if v:
self.setBehavior(v) | [
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2,024 | eventable/vobject | vobject/base.py | Component.transformChildrenToNative | def transformChildrenToNative(self):
"""
Recursively replace children with their native representation.
Sort to get dependency order right, like vtimezone before vevent.
"""
for childArray in (self.contents[k] for k in self.sortChildKeys()):
for child in childArray:
... | python | def transformChildrenToNative(self):
"""
Recursively replace children with their native representation.
Sort to get dependency order right, like vtimezone before vevent.
"""
for childArray in (self.contents[k] for k in self.sortChildKeys()):
for child in childArray:
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2,025 | eventable/vobject | vobject/base.py | Component.transformChildrenFromNative | def transformChildrenFromNative(self, clearBehavior=True):
"""
Recursively transform native children to vanilla representations.
"""
for childArray in self.contents.values():
for child in childArray:
child = child.transformFromNative()
child.tr... | python | def transformChildrenFromNative(self, clearBehavior=True):
"""
Recursively transform native children to vanilla representations.
"""
for childArray in self.contents.values():
for child in childArray:
child = child.transformFromNative()
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2,026 | eventable/vobject | docs/build/lib/vobject/change_tz.py | change_tz | def change_tz(cal, new_timezone, default, utc_only=False, utc_tz=icalendar.utc):
"""
Change the timezone of the specified component.
Args:
cal (Component): the component to change
new_timezone (tzinfo): the timezone to change to
default (tzinfo): a timezone to assume if the dtstart ... | python | def change_tz(cal, new_timezone, default, utc_only=False, utc_tz=icalendar.utc):
"""
Change the timezone of the specified component.
Args:
cal (Component): the component to change
new_timezone (tzinfo): the timezone to change to
default (tzinfo): a timezone to assume if the dtstart ... | [
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2,027 | eventable/vobject | docs/build/lib/vobject/base.py | defaultSerialize | def defaultSerialize(obj, buf, lineLength):
"""
Encode and fold obj and its children, write to buf or return a string.
"""
outbuf = buf or six.StringIO()
if isinstance(obj, Component):
if obj.group is None:
groupString = ''
else:
groupString = obj.group + '.'... | python | def defaultSerialize(obj, buf, lineLength):
"""
Encode and fold obj and its children, write to buf or return a string.
"""
outbuf = buf or six.StringIO()
if isinstance(obj, Component):
if obj.group is None:
groupString = ''
else:
groupString = obj.group + '.'... | [
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2,028 | eventable/vobject | docs/build/lib/vobject/icalendar.py | toUnicode | def toUnicode(s):
"""
Take a string or unicode, turn it into unicode, decoding as utf-8
"""
if isinstance(s, six.binary_type):
s = s.decode('utf-8')
return s | python | def toUnicode(s):
"""
Take a string or unicode, turn it into unicode, decoding as utf-8
"""
if isinstance(s, six.binary_type):
s = s.decode('utf-8')
return s | [
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2,029 | eventable/vobject | docs/build/lib/vobject/icalendar.py | numToDigits | def numToDigits(num, places):
"""
Helper, for converting numbers to textual digits.
"""
s = str(num)
if len(s) < places:
return ("0" * (places - len(s))) + s
elif len(s) > places:
return s[len(s)-places: ]
else:
return s | python | def numToDigits(num, places):
"""
Helper, for converting numbers to textual digits.
"""
s = str(num)
if len(s) < places:
return ("0" * (places - len(s))) + s
elif len(s) > places:
return s[len(s)-places: ]
else:
return s | [
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2,030 | eventable/vobject | docs/build/lib/vobject/icalendar.py | timedeltaToString | def timedeltaToString(delta):
"""
Convert timedelta to an ical DURATION.
"""
if delta.days == 0:
sign = 1
else:
sign = delta.days / abs(delta.days)
delta = abs(delta)
days = delta.days
hours = int(delta.seconds / 3600)
minutes = int((delta.seconds % 3600) / 60)
se... | python | def timedeltaToString(delta):
"""
Convert timedelta to an ical DURATION.
"""
if delta.days == 0:
sign = 1
else:
sign = delta.days / abs(delta.days)
delta = abs(delta)
days = delta.days
hours = int(delta.seconds / 3600)
minutes = int((delta.seconds % 3600) / 60)
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2,031 | eventable/vobject | docs/build/lib/vobject/icalendar.py | stringToTextValues | def stringToTextValues(s, listSeparator=',', charList=None, strict=False):
"""
Returns list of strings.
"""
if charList is None:
charList = escapableCharList
def escapableChar (c):
return c in charList
def error(msg):
if strict:
raise ParseError(msg)
... | python | def stringToTextValues(s, listSeparator=',', charList=None, strict=False):
"""
Returns list of strings.
"""
if charList is None:
charList = escapableCharList
def escapableChar (c):
return c in charList
def error(msg):
if strict:
raise ParseError(msg)
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2,032 | eventable/vobject | docs/build/lib/vobject/icalendar.py | parseDtstart | def parseDtstart(contentline, allowSignatureMismatch=False):
"""
Convert a contentline's value into a date or date-time.
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Convert a contentline's value into a date or date-time.
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"""
Compare offsets and DST transitions from startYear to endYear.
"""
if tzinfo1 == tzinfo2:
return True
elif tzinfo1 is None or tzinfo2 is None:
return False
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re... | python | def tzinfo_eq(tzinfo1, tzinfo2, startYear = 2000, endYear=2020):
"""
Compare offsets and DST transitions from startYear to endYear.
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if tzinfo1 == tzinfo2:
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2,034 | eventable/vobject | docs/build/lib/vobject/icalendar.py | TimezoneComponent.registerTzinfo | def registerTzinfo(obj, tzinfo):
"""
Register tzinfo if it's not already registered, return its tzid.
"""
tzid = obj.pickTzid(tzinfo)
if tzid and not getTzid(tzid, False):
registerTzid(tzid, tzinfo)
return tzid | python | def registerTzinfo(obj, tzinfo):
"""
Register tzinfo if it's not already registered, return its tzid.
"""
tzid = obj.pickTzid(tzinfo)
if tzid and not getTzid(tzid, False):
registerTzid(tzid, tzinfo)
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"""
Given a tzinfo class, use known APIs to determine TZID, or use tzname.
"""
if tzinfo is None or (not allowUTC and tzinfo_eq(tzinfo, utc)):
# If tzinfo is UTC, we don't need a TZID
return None
# try PyICU's tzid key... | python | def pickTzid(tzinfo, allowUTC=False):
"""
Given a tzinfo class, use known APIs to determine TZID, or use tzname.
"""
if tzinfo is None or (not allowUTC and tzinfo_eq(tzinfo, utc)):
# If tzinfo is UTC, we don't need a TZID
return None
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2,036 | eventable/vobject | docs/build/lib/vobject/icalendar.py | RecurringBehavior.transformToNative | def transformToNative(obj):
"""
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"""
if not obj.isNative:
object.__setattr__(obj, '__class__', RecurringComponent)
obj.isNative = True
return obj | python | def transformToNative(obj):
"""
Turn a recurring Component into a RecurringComponent.
"""
if not obj.isNative:
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obj.isNative = True
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2,037 | eventable/vobject | docs/build/lib/vobject/icalendar.py | RecurringBehavior.generateImplicitParameters | def generateImplicitParameters(obj):
"""
Generate a UID if one does not exist.
This is just a dummy implementation, for now.
"""
if not hasattr(obj, 'uid'):
rand = int(random.random() * 100000)
now = datetime.datetime.now(utc)
now = dateTimeTo... | python | def generateImplicitParameters(obj):
"""
Generate a UID if one does not exist.
This is just a dummy implementation, for now.
"""
if not hasattr(obj, 'uid'):
rand = int(random.random() * 100000)
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2,038 | eventable/vobject | docs/build/lib/vobject/icalendar.py | DateOrDateTimeBehavior.transformToNative | def transformToNative(obj):
"""
Turn obj.value into a date or datetime.
"""
if obj.isNative:
return obj
obj.isNative = True
if obj.value == '':
return obj
obj.value=obj.value
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... | python | def transformToNative(obj):
"""
Turn obj.value into a date or datetime.
"""
if obj.isNative:
return obj
obj.isNative = True
if obj.value == '':
return obj
obj.value=obj.value
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2,039 | eventable/vobject | docs/build/lib/vobject/icalendar.py | DateOrDateTimeBehavior.transformFromNative | def transformFromNative(obj):
"""
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"""
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obj.isNative = False
obj.value_param = 'DATE'
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return obj
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"""
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2,040 | eventable/vobject | docs/build/lib/vobject/icalendar.py | MultiDateBehavior.transformFromNative | def transformFromNative(obj):
"""
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"""
if obj.value and type(obj.value[0]) == datetime.date:
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"""
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2,041 | eventable/vobject | docs/build/lib/vobject/icalendar.py | MultiTextBehavior.decode | def decode(cls, line):
"""
Remove backslash escaping from line.value, then split on commas.
"""
if line.encoded:
line.value = stringToTextValues(line.value,
listSeparator=cls.listSeparator)
line.encoded=False | python | def decode(cls, line):
"""
Remove backslash escaping from line.value, then split on commas.
"""
if line.encoded:
line.value = stringToTextValues(line.value,
listSeparator=cls.listSeparator)
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2,042 | eventable/vobject | docs/build/lib/vobject/icalendar.py | VAlarm.generateImplicitParameters | def generateImplicitParameters(obj):
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obj.add('action').value = 'AUDIO'
try:
obj.trigger
except AttributeError:
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"""
Create default ACTION and TRIGGER if they're not set.
"""
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obj.add('action').value = 'AUDIO'
try:
obj.trigger
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"""
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"""
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"""
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obj.isNative = True
if obj.value == '':
obj.value = []
return obj
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2,047 | eventable/vobject | docs/build/lib/vobject/icalendar.py | PeriodBehavior.transformFromNative | def transformFromNative(cls, obj):
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2,048 | eventable/vobject | vobject/vcard.py | serializeFields | def serializeFields(obj, order=None):
"""
Turn an object's fields into a ';' and ',' seperated string.
If order is None, obj should be a list, backslash escape each field and
return a ';' separated string.
"""
fields = []
if order is None:
fields = [backslashEscape(val) for val in o... | python | def serializeFields(obj, order=None):
"""
Turn an object's fields into a ';' and ',' seperated string.
If order is None, obj should be a list, backslash escape each field and
return a ';' separated string.
"""
fields = []
if order is None:
fields = [backslashEscape(val) for val in o... | [
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2,049 | eventable/vobject | vobject/vcard.py | Address.toString | def toString(val, join_char='\n'):
"""
Turn a string or array value into a string.
"""
if type(val) in (list, tuple):
return join_char.join(val)
return val | python | def toString(val, join_char='\n'):
"""
Turn a string or array value into a string.
"""
if type(val) in (list, tuple):
return join_char.join(val)
return val | [
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2,050 | eventable/vobject | vobject/vcard.py | NameBehavior.transformToNative | def transformToNative(obj):
"""
Turn obj.value into a Name.
"""
if obj.isNative:
return obj
obj.isNative = True
obj.value = Name(**dict(zip(NAME_ORDER, splitFields(obj.value))))
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"""
Turn obj.value into a Name.
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if obj.isNative:
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obj.isNative = True
obj.value = Name(**dict(zip(NAME_ORDER, splitFields(obj.value))))
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2,051 | eventable/vobject | vobject/vcard.py | NameBehavior.transformFromNative | def transformFromNative(obj):
"""
Replace the Name in obj.value with a string.
"""
obj.isNative = False
obj.value = serializeFields(obj.value, NAME_ORDER)
return obj | python | def transformFromNative(obj):
"""
Replace the Name in obj.value with a string.
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obj.isNative = False
obj.value = serializeFields(obj.value, NAME_ORDER)
return obj | [
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2,052 | eventable/vobject | vobject/vcard.py | AddressBehavior.transformToNative | def transformToNative(obj):
"""
Turn obj.value into an Address.
"""
if obj.isNative:
return obj
obj.isNative = True
obj.value = Address(**dict(zip(ADDRESS_ORDER, splitFields(obj.value))))
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"""
Turn obj.value into an Address.
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obj.value = Address(**dict(zip(ADDRESS_ORDER, splitFields(obj.value))))
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2,053 | eventable/vobject | vobject/vcard.py | OrgBehavior.transformToNative | def transformToNative(obj):
"""
Turn obj.value into a list.
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2,054 | eventable/vobject | docs/build/lib/vobject/vcard.py | VCardTextBehavior.decode | def decode(cls, line):
"""
Remove backslash escaping from line.valueDecode line, either to remove
backslash espacing, or to decode base64 encoding. The content line should
contain a ENCODING=b for base64 encoding, but Apple Addressbook seems to
export a singleton parameter of 'BA... | python | def decode(cls, line):
"""
Remove backslash escaping from line.valueDecode line, either to remove
backslash espacing, or to decode base64 encoding. The content line should
contain a ENCODING=b for base64 encoding, but Apple Addressbook seems to
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2,055 | eventable/vobject | vobject/behavior.py | Behavior.validate | def validate(cls, obj, raiseException=False, complainUnrecognized=False):
"""Check if the object satisfies this behavior's requirements.
@param obj:
The L{ContentLine<base.ContentLine>} or
L{Component<base.Component>} to be validated.
@param raiseException:
I... | python | def validate(cls, obj, raiseException=False, complainUnrecognized=False):
"""Check if the object satisfies this behavior's requirements.
@param obj:
The L{ContentLine<base.ContentLine>} or
L{Component<base.Component>} to be validated.
@param raiseException:
I... | [
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2,056 | eventable/vobject | vobject/win32tz.py | pickNthWeekday | def pickNthWeekday(year, month, dayofweek, hour, minute, whichweek):
"""dayofweek == 0 means Sunday, whichweek > 4 means last instance"""
first = datetime.datetime(year=year, month=month, hour=hour, minute=minute,
day=1)
weekdayone = first.replace(day=((dayofweek - first.isowee... | python | def pickNthWeekday(year, month, dayofweek, hour, minute, whichweek):
"""dayofweek == 0 means Sunday, whichweek > 4 means last instance"""
first = datetime.datetime(year=year, month=month, hour=hour, minute=minute,
day=1)
weekdayone = first.replace(day=((dayofweek - first.isowee... | [
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2,057 | eventable/vobject | vobject/ics_diff.py | deleteExtraneous | def deleteExtraneous(component, ignore_dtstamp=False):
"""
Recursively walk the component's children, deleting extraneous details like
X-VOBJ-ORIGINAL-TZID.
"""
for comp in component.components():
deleteExtraneous(comp, ignore_dtstamp)
for line in component.lines():
if 'X-VOBJ-OR... | python | def deleteExtraneous(component, ignore_dtstamp=False):
"""
Recursively walk the component's children, deleting extraneous details like
X-VOBJ-ORIGINAL-TZID.
"""
for comp in component.components():
deleteExtraneous(comp, ignore_dtstamp)
for line in component.lines():
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2,058 | SoftwareDefinedBuildings/XBOS | apps/hole_filling/pelican/backfill.py | fillPelicanHole | def fillPelicanHole(site, username, password, tstat_name, start_time, end_time):
"""Fill a hole in a Pelican thermostat's data stream.
Arguments:
site -- The thermostat's Pelican site name
username -- The Pelican username for the site
password -- The Pelican password for the site
... | python | def fillPelicanHole(site, username, password, tstat_name, start_time, end_time):
"""Fill a hole in a Pelican thermostat's data stream.
Arguments:
site -- The thermostat's Pelican site name
username -- The Pelican username for the site
password -- The Pelican password for the site
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2,059 | SoftwareDefinedBuildings/XBOS | apps/data_analysis/XBOS_data_analytics/Preprocess_Data.py | Preprocess_Data.add_degree_days | def add_degree_days(self, col='OAT', hdh_cpoint=65, cdh_cpoint=65):
""" Adds Heating & Cooling Degree Hours.
Parameters
----------
col : str
Column name which contains the outdoor air temperature.
hdh_cpoint : int
Heating degree hours. Defaults t... | python | def add_degree_days(self, col='OAT', hdh_cpoint=65, cdh_cpoint=65):
""" Adds Heating & Cooling Degree Hours.
Parameters
----------
col : str
Column name which contains the outdoor air temperature.
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Heating degree hours. Defaults t... | [
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2,060 | SoftwareDefinedBuildings/XBOS | apps/data_analysis/XBOS_data_analytics/Preprocess_Data.py | Preprocess_Data.add_col_features | def add_col_features(self, col=None, degree=None):
""" Exponentiate columns of dataframe.
Basically this function squares/cubes a column.
e.g. df[col^2] = pow(df[col], degree) where degree=2.
Parameters
----------
col : list(str)
Column to exponentiate.... | python | def add_col_features(self, col=None, degree=None):
""" Exponentiate columns of dataframe.
Basically this function squares/cubes a column.
e.g. df[col^2] = pow(df[col], degree) where degree=2.
Parameters
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col : list(str)
Column to exponentiate.... | [
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2,061 | SoftwareDefinedBuildings/XBOS | apps/data_analysis/XBOS_data_analytics/Preprocess_Data.py | Preprocess_Data.standardize | def standardize(self):
""" Standardize data. """
if self.preprocessed_data.empty:
data = self.original_data
else:
data = self.preprocessed_data
scaler = preprocessing.StandardScaler()
data = pd.DataFrame(scaler.fit_transform(data), columns=data.c... | python | def standardize(self):
""" Standardize data. """
if self.preprocessed_data.empty:
data = self.original_data
else:
data = self.preprocessed_data
scaler = preprocessing.StandardScaler()
data = pd.DataFrame(scaler.fit_transform(data), columns=data.c... | [
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2,062 | SoftwareDefinedBuildings/XBOS | apps/data_analysis/XBOS_data_analytics/Preprocess_Data.py | Preprocess_Data.normalize | def normalize(self):
""" Normalize data. """
if self.preprocessed_data.empty:
data = self.original_data
else:
data = self.preprocessed_data
data = pd.DataFrame(preprocessing.normalize(data), columns=data.columns, index=data.index)
self.preprocessed_data ... | python | def normalize(self):
""" Normalize data. """
if self.preprocessed_data.empty:
data = self.original_data
else:
data = self.preprocessed_data
data = pd.DataFrame(preprocessing.normalize(data), columns=data.columns, index=data.index)
self.preprocessed_data ... | [
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2,063 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Preprocess_Data.py | Preprocess_Data.add_time_features | def add_time_features(self, year=False, month=False, week=True, tod=True, dow=True):
""" Add time features to dataframe.
Parameters
----------
year : bool
Year.
month : bool
Month.
week : bool
Week.
tod : bool
... | python | def add_time_features(self, year=False, month=False, week=True, tod=True, dow=True):
""" Add time features to dataframe.
Parameters
----------
year : bool
Year.
month : bool
Month.
week : bool
Week.
tod : bool
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2,064 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Model_Data.py | Model_Data.split_data | def split_data(self):
""" Split data according to baseline and projection time period values. """
try:
# Extract data ranging in time_period1
time_period1 = (slice(self.baseline_period[0], self.baseline_period[1]))
self.baseline_in = self.original_data.loc[time_perio... | python | def split_data(self):
""" Split data according to baseline and projection time period values. """
try:
# Extract data ranging in time_period1
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2,065 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Model_Data.py | Model_Data.linear_regression | def linear_regression(self):
""" Linear Regression.
This function runs linear regression and stores the,
1. Model
2. Model name
3. Mean score of cross validation
4. Metrics
"""
model = LinearRegression()
scores = []
kfold = KFold(n_sp... | python | def linear_regression(self):
""" Linear Regression.
This function runs linear regression and stores the,
1. Model
2. Model name
3. Mean score of cross validation
4. Metrics
"""
model = LinearRegression()
scores = []
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2,066 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Model_Data.py | Model_Data.lasso_regression | def lasso_regression(self):
""" Lasso Regression.
This function runs lasso regression and stores the,
1. Model
2. Model name
3. Max score
4. Metrics
"""
score_list = []
max_score = float('-inf')
best_alpha = None
for alpha in se... | python | def lasso_regression(self):
""" Lasso Regression.
This function runs lasso regression and stores the,
1. Model
2. Model name
3. Max score
4. Metrics
"""
score_list = []
max_score = float('-inf')
best_alpha = None
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2,067 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Model_Data.py | Model_Data.random_forest | def random_forest(self):
""" Random Forest.
This function runs random forest and stores the,
1. Model
2. Model name
3. Max score
4. Metrics
"""
model = RandomForestRegressor(random_state=42)
scores = []
kfold = KFold(n_splits=self.cv, s... | python | def random_forest(self):
""" Random Forest.
This function runs random forest and stores the,
1. Model
2. Model name
3. Max score
4. Metrics
"""
model = RandomForestRegressor(random_state=42)
scores = []
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2,068 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Model_Data.py | Model_Data.run_models | def run_models(self):
""" Run all models.
Returns
-------
model
Best model
dict
Metrics of the models
"""
self.linear_regression()
self.lasso_regression()
self.ridge_regression()
self.elastic_net_regression()
... | python | def run_models(self):
""" Run all models.
Returns
-------
model
Best model
dict
Metrics of the models
"""
self.linear_regression()
self.lasso_regression()
self.ridge_regression()
self.elastic_net_regression()
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2,069 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Model_Data.py | Model_Data.custom_model | def custom_model(self, func):
""" Run custom model provided by user.
To Do,
1. Define custom function's parameters, its data types, and return types
Parameters
----------
func : function
Custom function
Returns
-------
dict
... | python | def custom_model(self, func):
""" Run custom model provided by user.
To Do,
1. Define custom function's parameters, its data types, and return types
Parameters
----------
func : function
Custom function
Returns
-------
dict
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2,070 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Model_Data.py | Model_Data.best_model_fit | def best_model_fit(self):
""" Fit data to optimal model and return its metrics.
Returns
-------
dict
Best model's metrics
"""
self.best_model.fit(self.baseline_in, self.baseline_out)
self.y_true = self.baseline_out # Pan... | python | def best_model_fit(self):
""" Fit data to optimal model and return its metrics.
Returns
-------
dict
Best model's metrics
"""
self.best_model.fit(self.baseline_in, self.baseline_out)
self.y_true = self.baseline_out # Pan... | [
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2,071 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Plot_Data.py | Plot_Data.correlation_plot | def correlation_plot(self, data):
""" Create heatmap of Pearson's correlation coefficient.
Parameters
----------
data : pd.DataFrame()
Data to display.
Returns
-------
matplotlib.figure
Heatmap.
"""
# CHECK: Add saved... | python | def correlation_plot(self, data):
""" Create heatmap of Pearson's correlation coefficient.
Parameters
----------
data : pd.DataFrame()
Data to display.
Returns
-------
matplotlib.figure
Heatmap.
"""
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2,072 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Plot_Data.py | Plot_Data.baseline_projection_plot | def baseline_projection_plot(self, y_true, y_pred,
baseline_period, projection_period,
model_name, adj_r2,
data, input_col, output_col, model,
site):
""" Create baseline and projectio... | python | def baseline_projection_plot(self, y_true, y_pred,
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model_name, adj_r2,
data, input_col, output_col, model,
site):
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Baseline period.
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2,073 | SoftwareDefinedBuildings/XBOS | apps/system_identification/rtu_energy.py | get_thermostat_meter_data | def get_thermostat_meter_data(zone):
"""
This method subscribes to the output of the meter for the given zone.
It returns a handler to call when you want to stop subscribing data, which
returns a list of the data readins over that time period
"""
meter_uri = zone2meter.get(zone, "None")
data... | python | def get_thermostat_meter_data(zone):
"""
This method subscribes to the output of the meter for the given zone.
It returns a handler to call when you want to stop subscribing data, which
returns a list of the data readins over that time period
"""
meter_uri = zone2meter.get(zone, "None")
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2,074 | SoftwareDefinedBuildings/XBOS | apps/system_identification/rtu_energy.py | call_heat | def call_heat(tstat):
"""
Adjusts the temperature setpoints in order to call for heating. Returns
a handler to call when you want to reset the thermostat
"""
current_hsp, current_csp = tstat.heating_setpoint, tstat.cooling_setpoint
current_temp = tstat.temperature
tstat.write({
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"""
Adjusts the temperature setpoints in order to call for heating. Returns
a handler to call when you want to reset the thermostat
"""
current_hsp, current_csp = tstat.heating_setpoint, tstat.cooling_setpoint
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2,075 | SoftwareDefinedBuildings/XBOS | apps/system_identification/rtu_energy.py | call_cool | def call_cool(tstat):
"""
Adjusts the temperature setpoints in order to call for cooling. Returns
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"""
current_hsp, current_csp = tstat.heating_setpoint, tstat.cooling_setpoint
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"""
Adjusts the temperature setpoints in order to call for cooling. Returns
a handler to call when you want to reset the thermostat
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current_hsp, current_csp = tstat.heating_setpoint, tstat.cooling_setpoint
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2,076 | SoftwareDefinedBuildings/XBOS | apps/system_identification/rtu_energy.py | call_fan | def call_fan(tstat):
"""
Toggles the fan
"""
old_fan = tstat.fan
tstat.write({
'fan': not old_fan,
})
def restore():
tstat.write({
'fan': old_fan,
})
return restore | python | def call_fan(tstat):
"""
Toggles the fan
"""
old_fan = tstat.fan
tstat.write({
'fan': not old_fan,
})
def restore():
tstat.write({
'fan': old_fan,
})
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2,077 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Import_Data.py | Import_Data._load_csv | def _load_csv(self, file_name, folder_name, head_row, index_col, convert_col, concat_files):
""" Load single csv file.
Parameters
----------
file_name : str
CSV file to be imported. Defaults to '*' - all csv files in the folder.
folder_name : str
... | python | def _load_csv(self, file_name, folder_name, head_row, index_col, convert_col, concat_files):
""" Load single csv file.
Parameters
----------
file_name : str
CSV file to be imported. Defaults to '*' - all csv files in the folder.
folder_name : str
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file_name : str
CSV file to be imported. Defaults to '*' - all csv files in the folder.
folder_name : str
Folder where file resides. Defaults to '.' - current directory.
head_row : int
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2,078 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Import_Data.py | Import_MDAL.convert_to_utc | def convert_to_utc(time):
""" Convert time to UTC
Parameters
----------
time : str
Time to convert. Has to be of the format '2016-01-01T00:00:00-08:00'.
Returns
-------
str
UTC timestamp.
"""
# time is already in UTC
... | python | def convert_to_utc(time):
""" Convert time to UTC
Parameters
----------
time : str
Time to convert. Has to be of the format '2016-01-01T00:00:00-08:00'.
Returns
-------
str
UTC timestamp.
"""
# time is already in UTC
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2,079 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Import_Data.py | Import_MDAL.get_meter | def get_meter(self, site, start, end, point_type='Green_Button_Meter',
var="meter", agg='MEAN', window='24h', aligned=True, return_names=True):
""" Get meter data from MDAL.
Parameters
----------
site : str
Building name.
start ... | python | def get_meter(self, site, start, end, point_type='Green_Button_Meter',
var="meter", agg='MEAN', window='24h', aligned=True, return_names=True):
""" Get meter data from MDAL.
Parameters
----------
site : str
Building name.
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2,080 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Import_Data.py | Import_MDAL.get_tstat | def get_tstat(self, site, start, end, var="tstat_temp", agg='MEAN', window='24h', aligned=True, return_names=True):
""" Get thermostat data from MDAL.
Parameters
----------
site : str
Building name.
start : str
Start date - 'YYYY-MM-D... | python | def get_tstat(self, site, start, end, var="tstat_temp", agg='MEAN', window='24h', aligned=True, return_names=True):
""" Get thermostat data from MDAL.
Parameters
----------
site : str
Building name.
start : str
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2,081 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Import_Data.py | Import_MDAL.compose_MDAL_dic | def compose_MDAL_dic(self, site, point_type,
start, end, var, agg, window, aligned, points=None, return_names=False):
""" Create dictionary for MDAL request.
Parameters
----------
site : str
Building name.
start : str
... | python | def compose_MDAL_dic(self, site, point_type,
start, end, var, agg, window, aligned, points=None, return_names=False):
""" Create dictionary for MDAL request.
Parameters
----------
site : str
Building name.
start : str
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2,082 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Import_Data.py | Import_MDAL.get_point_name | def get_point_name(self, context):
""" Get point name.
Parameters
----------
context : ???
???
Returns
-------
???
???
"""
metadata_table = self.parse_context(context)
return metadata_table.apply(self... | python | def get_point_name(self, context):
""" Get point name.
Parameters
----------
context : ???
???
Returns
-------
???
???
"""
metadata_table = self.parse_context(context)
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2,083 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Import_Data.py | Import_MDAL.replace_uuid_w_names | def replace_uuid_w_names(self, resp):
""" Replace the uuid's with names.
Parameters
----------
resp : ???
???
Returns
-------
???
???
"""
col_mapper = self.get_point_name(resp.context)["?point"].to_dict()
... | python | def replace_uuid_w_names(self, resp):
""" Replace the uuid's with names.
Parameters
----------
resp : ???
???
Returns
-------
???
???
"""
col_mapper = self.get_point_name(resp.context)["?point"].to_dict()
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2,084 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data.resample_data | def resample_data(self, data, freq, resampler='mean'):
""" Resample dataframe.
Note
----
1. Figure out how to apply different functions to different columns .apply()
2. This theoretically work in upsampling too, check docs
http://pandas.pydata.org/pandas-docs/stable/... | python | def resample_data(self, data, freq, resampler='mean'):
""" Resample dataframe.
Note
----
1. Figure out how to apply different functions to different columns .apply()
2. This theoretically work in upsampling too, check docs
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2,085 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data.interpolate_data | def interpolate_data(self, data, limit, method):
""" Interpolate dataframe.
Parameters
----------
data : pd.DataFrame()
Dataframe to interpolate
limit : int
Interpolation limit.
method : str
Interpolation method.
Returns... | python | def interpolate_data(self, data, limit, method):
""" Interpolate dataframe.
Parameters
----------
data : pd.DataFrame()
Dataframe to interpolate
limit : int
Interpolation limit.
method : str
Interpolation method.
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2,086 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data.remove_na | def remove_na(self, data, remove_na_how):
""" Remove NAs from dataframe.
Parameters
----------
data : pd.DataFrame()
Dataframe to remove NAs from.
remove_na_how : str
Specificies how to remove NA i.e. all, any...
Returns
----... | python | def remove_na(self, data, remove_na_how):
""" Remove NAs from dataframe.
Parameters
----------
data : pd.DataFrame()
Dataframe to remove NAs from.
remove_na_how : str
Specificies how to remove NA i.e. all, any...
Returns
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2,087 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data.remove_outlier | def remove_outlier(self, data, sd_val):
""" Remove outliers from dataframe.
Note
----
1. This function excludes all lines with NA in all columns.
Parameters
----------
data : pd.DataFrame()
Dataframe to remove outliers from.
sd_val : int
... | python | def remove_outlier(self, data, sd_val):
""" Remove outliers from dataframe.
Note
----
1. This function excludes all lines with NA in all columns.
Parameters
----------
data : pd.DataFrame()
Dataframe to remove outliers from.
sd_val : int
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2,088 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data.remove_out_of_bounds | def remove_out_of_bounds(self, data, low_bound, high_bound):
""" Remove out of bound datapoints from dataframe.
This function removes all points < low_bound and > high_bound.
To Do,
1. Add a different boundary for each column.
Parameters
----------
data ... | python | def remove_out_of_bounds(self, data, low_bound, high_bound):
""" Remove out of bound datapoints from dataframe.
This function removes all points < low_bound and > high_bound.
To Do,
1. Add a different boundary for each column.
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----------
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2,089 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data._set_TS_index | def _set_TS_index(self, data):
""" Convert index to datetime and all other columns to numeric
Parameters
----------
data : pd.DataFrame()
Input dataframe.
Returns
-------
pd.DataFrame()
Modified dataframe.
"""
... | python | def _set_TS_index(self, data):
""" Convert index to datetime and all other columns to numeric
Parameters
----------
data : pd.DataFrame()
Input dataframe.
Returns
-------
pd.DataFrame()
Modified dataframe.
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2,090 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data._utc_to_local | def _utc_to_local(self, data, local_zone="America/Los_Angeles"):
""" Adjust index of dataframe according to timezone that is requested by user.
Parameters
----------
data : pd.DataFrame()
Pandas dataframe of json timeseries response from server.
local_zone :... | python | def _utc_to_local(self, data, local_zone="America/Los_Angeles"):
""" Adjust index of dataframe according to timezone that is requested by user.
Parameters
----------
data : pd.DataFrame()
Pandas dataframe of json timeseries response from server.
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2,091 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data._local_to_utc | def _local_to_utc(self, timestamp, local_zone="America/Los_Angeles"):
""" Convert local timestamp to UTC.
Parameters
----------
timestamp : pd.DataFrame()
Input Pandas dataframe whose index needs to be changed.
local_zone : str
Name of local zone. Defa... | python | def _local_to_utc(self, timestamp, local_zone="America/Los_Angeles"):
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timestamp : pd.DataFrame()
Input Pandas dataframe whose index needs to be changed.
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2,092 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data.find_uuid | def find_uuid(self, obj, column_name):
""" Find uuid.
Parameters
----------
obj : ???
the object returned by the MDAL Query
column_name : str
input point returned from MDAL Query
Returns
-------
str
th... | python | def find_uuid(self, obj, column_name):
""" Find uuid.
Parameters
----------
obj : ???
the object returned by the MDAL Query
column_name : str
input point returned from MDAL Query
Returns
-------
str
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... | Find uuid.
Parameters
----------
obj : ???
the object returned by the MDAL Query
column_name : str
input point returned from MDAL Query
Returns
-------
str
the uuid that correlates with the data | [
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] | c12d4fb14518ea3ae98c471c28e0710fdf74dd25 | https://github.com/SoftwareDefinedBuildings/XBOS/blob/c12d4fb14518ea3ae98c471c28e0710fdf74dd25/apps/Data_quality_analysis/Clean_Data.py#L952-L975 |
2,093 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data.identify_missing | def identify_missing(self, df, check_start=True):
""" Identify missing data.
Parameters
----------
df : pd.DataFrame()
Dataframe to check for missing data.
check_start : bool
turns 0 to 1 for the first observation, to display the start of... | python | def identify_missing(self, df, check_start=True):
""" Identify missing data.
Parameters
----------
df : pd.DataFrame()
Dataframe to check for missing data.
check_start : bool
turns 0 to 1 for the first observation, to display the start of... | [
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Dataframe to check for missing data.
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turns 0 to 1 for the first observation, to display the start of the data
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... | [
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2,094 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data.diff_boolean | def diff_boolean(self, df, column_name=None, uuid=None, duration=True, min_event_filter='3 hours'):
""" takes the dataframe of missing values, and returns a dataframe that indicates the
length of each event where data was continuously missing
Parameters
----------
df ... | python | def diff_boolean(self, df, column_name=None, uuid=None, duration=True, min_event_filter='3 hours'):
""" takes the dataframe of missing values, and returns a dataframe that indicates the
length of each event where data was continuously missing
Parameters
----------
df ... | [
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2,095 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data.analyze_quality_table | def analyze_quality_table(self, obj,low_bound=None, high_bound=None):
""" Takes in an the object returned by the MDAL query, and analyzes the quality
of the data for each column in the df. Returns a df of data quality metrics
To Do
-----
Need to make it specific for varying met... | python | def analyze_quality_table(self, obj,low_bound=None, high_bound=None):
""" Takes in an the object returned by the MDAL query, and analyzes the quality
of the data for each column in the df. Returns a df of data quality metrics
To Do
-----
Need to make it specific for varying met... | [
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of the data for each column in the df. Returns a df of data quality metrics
To Do
-----
Need to make it specific for varying meters and label it for each type,
Either separate functions or make the func... | [
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2,096 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Clean_Data.py | Clean_Data.analyze_quality_graph | def analyze_quality_graph(self, obj):
""" Takes in an the object returned by the MDAL query, and analyzes the quality
of the data for each column in the df in the form of graphs. The Graphs returned
show missing data events over time, and missing data frequency during each hour
of the d... | python | def analyze_quality_graph(self, obj):
""" Takes in an the object returned by the MDAL query, and analyzes the quality
of the data for each column in the df in the form of graphs. The Graphs returned
show missing data events over time, and missing data frequency during each hour
of the d... | [
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of the data for each column in the df in the form of graphs. The Graphs returned
show missing data events over time, and missing data frequency during each hour
of the day
To Do
-----
Need to ma... | [
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2,097 | SoftwareDefinedBuildings/XBOS | apps/data_analysis/XBOS_data_analytics/Clean_Data.py | Clean_Data.clean_data | def clean_data(self, resample=True, freq='h', resampler='mean',
interpolate=True, limit=1, method='linear',
remove_na=True, remove_na_how='any',
remove_outliers=True, sd_val=3,
remove_out_of_bounds=True, low_bound=0, high_bound=9998):
... | python | def clean_data(self, resample=True, freq='h', resampler='mean',
interpolate=True, limit=1, method='linear',
remove_na=True, remove_na_how='any',
remove_outliers=True, sd_val=3,
remove_out_of_bounds=True, low_bound=0, high_bound=9998):
... | [
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Parameters
----------
resample : bool
Indicates whether to resample data or not.
freq : str
Resampling frequency i.e. d, h, 15T...
resampler : str
Resampling type i.e. mean, max.... | [
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] | c12d4fb14518ea3ae98c471c28e0710fdf74dd25 | https://github.com/SoftwareDefinedBuildings/XBOS/blob/c12d4fb14518ea3ae98c471c28e0710fdf74dd25/apps/data_analysis/XBOS_data_analytics/Clean_Data.py#L198-L269 |
2,098 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Wrapper.py | Wrapper.write_json | def write_json(self):
""" Dump data into json file. """
with open(self.results_folder_name + '/results-' + str(self.get_global_count()) + '.json', 'a') as f:
json.dump(self.result, f) | python | def write_json(self):
""" Dump data into json file. """
with open(self.results_folder_name + '/results-' + str(self.get_global_count()) + '.json', 'a') as f:
json.dump(self.result, f) | [
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2,099 | SoftwareDefinedBuildings/XBOS | apps/Data_quality_analysis/Wrapper.py | Wrapper.site_analysis | def site_analysis(self, folder_name, site_install_mapping, end_date):
""" Summarize site data into a single table.
folder_name : str
Folder where all site data resides.
site_event_mapping : dic
Dictionary of site name to date of installation.
end_date ... | python | def site_analysis(self, folder_name, site_install_mapping, end_date):
""" Summarize site data into a single table.
folder_name : str
Folder where all site data resides.
site_event_mapping : dic
Dictionary of site name to date of installation.
end_date ... | [
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folder_name : str
Folder where all site data resides.
site_event_mapping : dic
Dictionary of site name to date of installation.
end_date : str
End date of data collected. | [
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